Implementation and results of TDABC in arthroscopic surgery: case study in an Ecuadorian hospital

Implementation and results of TDABC in arthroscopic surgery: case study in an Ecuadorian hospital | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Case Report Implementation and results of TDABC in arthroscopic surgery: case study in an Ecuadorian hospital Maria Fernanda Yaguache Aguilar, Angels Ninerola Monserrat, Maria Victoria Sanchez Rebull This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7852347/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background : Based on extensive literature on case studies using the Time-Driven Activity-Based Costing (TDABC) system. The TDABC is accuracy in cost calculation is achieved through the availability of records on resource use, the estimation of a patient's resource consumption time, and the estimation of the time spent on activities by the healthcare professionals involved from the beginning to the end of each episode of patient care. A case study was conducted at a private university hospital in Ecuador. In this study, TDABC was applied to arthroscopic surgical procedures. Methods : The research used both qualitative and quantitative methods. The study examined economic information from 60 medical records of patients who had arthroscopic surgery at the hospital in the second half of 2022. Furthermore, the approach was prospective and retrospective in the information gathering process. Seven phases of cost determination in the healthcare sector were developed. The design of the process maps made it possible to identify in detail the time of resource consumption of the activities carried out during the complete care cycle of each patient undergoing this surgery. Results: Cost estimation was performed separately between direct and indirect costs, and it was found that treating costs using TDABC can reflect the real cost absorption of the arthroscopy service and that, despite having been a pilot study, it generates important information for managerial decision-making. Conclusions : It has been verified that determining costs under TDABC generates total costs higher than 50% for the arthroscopic surgery operations studied compared to the hospital's traditional costing system, which seems to indicate that it has considered all the costs related to them. JEL Classifications: M Business administration and Business Economics, Marleting, Accounting, Personal Economics. M4 Accounting and Auditing M41 Accounting. Health Economics and Outcomes Research Time-Driven Activity-Based Costing TDABC Case study Healthcare sector arthroscopic surgery Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 1. Introduction Public health expenditure in relation to gross domestic product (GDP) has grown at a rapid pace, especially in countries such as the United States, where public health expenditure in 2021 represented 18% of GDP in 2016 (Kaplan and Haas, 2018) and is estimated to increase to 20% of GDP by 2025 (Koolmees et al., 2021; McCreary et al., 2018). In the same year, public health expenditure in Ecuador represented 5.28% of GDP and 14.76% of total public expenditure. In Ecuador, the state's capacity to guarantee the health of its inhabitants is quite deficient, and for the most part, health services are paid for out of pocket by the majority of citizens. This data is particularly worrying considering that the poorest countries account for more than 80% of the global burden of infectious diseases, with 20% lower investment in global public health expenditure (McBain et al., 2016). The severe economic and financial crisis experienced a few years ago led to budgetary restrictions in the health sector and pressure to control costs. As a result, in Europe, for example, the health financing system, which was based on the needs of the population, had to be replaced by one based on the value of the services provided (Campanale et al., 2014). When available resources are limited, healthcare providers must know and understand the value of medical care. As healthcare costs have a significant impact on GDP, reducing these costs has greater potential to improve value, understood as the relationship between the benefits perceived by the patient and the costs of receiving that service (Inverso et al., 2015). Policymakers and healthcare providers often talk about cost reduction, but they tend to link it exclusively to process improvements or outcomes, which makes it difficult to implement systematic and sustainable cost reductions (Kaplan & Porter, 2011). Traditional cost accounting systems efficiently measure costs at the operational department and overhead levels. However, they present difficulties in estimating and allocating costs to cost objects (McLaughlin et al., 2014). Nevertheless, to obtain the actual costs of providing a healthcare service, a transition from a volume-based approach to a value-based approach is required, which entails a much more detailed understanding of actual costs (Thaker et al., 2016). Costs must include all resources used during a complete patient care cycle: clinical and administrative staff, medicines, supplies, infrastructure, and equipment. Therefore, managing costs means improving efficiency, reducing waste of resources, maximising value, improving revenue, and making sound strategic decisions (Choudhery et al., 2020). Historically, top-down accounting methods such as the Cost-to-Charge Ratio (CCR) and Relative Value Unit (RVU) methods were used in healthcare, which, according to some authors, generate inaccurate costs for healthcare services (Kaplan & Haas, 2018). These methods are still in use (Kaplan & Witkowski, 2014) but are weak when it comes to calculating the real cost of healthcare services for decision-making purposes (Koolmees et al., 2021). Proper management of all costs is essential for evaluating strategic cost savings (Allin et al., 2020; Dubron et al., 2021). However, due to the complexity of analysing indirect costs, some authors exclude these costs from their studies and only address direct costs (Blumenthal et al., 2018; Cardinaels & Labro, 2008). For their part, Al Amiri & El Khmidi (2019); Blumenthal et al. (2018), and Erfani et al. (2023) agreed that indirect costs should be calculated and distributed by the number of patients treated, i.e., under the traditional system. Defourny et al. (2019) state that TDABC is a cost management tool designed to allocate indirect costs among products, such as support costs for direct costs, provided that resource consumption is not determined by production volume. It does so through the activities performed, taking time as the sole driver of costs (Berthelot et al., 2021; Ghasemi Rad et al., 2022; Goh et al., 2023; Kaplan & Anderson, 2004). To implement TDABC efficiently, the interaction of three factors must be considered: a) user acceptance, b) the availability of the right information at the right time, and c) the willingness of senior management to implement the tool (Nabelsi & Plouffe, 2019). Based on these premises, this research is aimed primarily at the implementation and efficiency of TDABC in the hospital sector, including direct and indirect costs. To this end, a case study of arthroscopic surgical procedures at a private university hospital in Ecuador will be used as evidence. The determination of costs under TDABC significantly contributes to the field of management accounting. The rest of the article is organised as follows. Section 2 reviews the scientific literature on the TDABC system and its relevance to the healthcare sector. Section 3 explains the research method used. Section 4 presents the case study on the application of TDABC. Section 5 presents the discussion of the results and limitations. Section 6 presents the conclusions, main contributions, and some possibilities for future research. Section 7, the list of abbreviations, and finally section 8, the statements comprising: ethical approval, consent for publication, data availability, conflicts of interest, funding, author contributions, and acknowledgements. 2. Literature review 2.1. TDABC system Management accounting provides management tools that influence the efficient use of resources to maximise the value of the company, in planning, control, and continuous improvement (Shields, 1995). In other words, effective and consistent organisational management must be sought, installed capacity must be analysed, and strategies must be defined to determine the cost and level of underutilised capacity. This process is known as activity management, which provides reliable information for value chain analysis and involves activity analysis (AA), activity cost analysis (ACA), and activity-based costing (ABC) (Gosselin, 1997). The Activity Based Costing (ABC) system emerged in the 1980s and has undergone significant development since its beginnings, both at an industrial level and in terms of scientific contribution (Anderson, 1995; Cooper & Kaplan, 1988; Krumwiede, 1998). Implementing the ABC system improved cost management and decision-making in organisations (Malmi, 1997). However, it posed a challenge due to the demand for interest, involvement, and participation from numerous stakeholders, employees, accounting management, and senior management (McGowan & Klammer, 1997). ABC was costly to maintain and update when faced with a new production line or the company's entry into new markets, which was probably the main factor that led to numerous criticisms of the system (Sisaye, 2003). Given the perceived weaknesses of ABC, its mentors became interested in developing a new approach for more accurate cost estimation that would be simpler and easier to maintain (Kaplan & Anderson, 2004). They introduced time as the only variable and proposed estimating costs using time equations. This was a modern costing system that estimated costs in an upward manner due to its ability to capture operational processes in detail, easily and quickly, as it uses duration drivers. These authors called this new system Time-Driven Activity-Based Costing (TDABC). Becker et al. (2018) argue that accuracy in cost calculation is achieved through the availability of records on resource use, the estimation of a patient's resource consumption time, and the estimation of the time spent on activities by the healthcare professionals involved from the beginning to the end of each episode of patient care. Based on existing literature, it is argued that TDABC is a modern and innovative cost management tool that has been widely applied in developed countries to help healthcare organisations in identifying unused capacity and enabling them to reduce service costs (Mohammadpour et al., 2022). While Monazzam & Crawford (2024) argue that organisational structure determines effectiveness in establishing routines, developing activities, managing resources, and building capacity to effectively integrate, build, or restructure strategic planning, organisational efficiency, and cost management and control. 2.2. TDABC costing in the healthcare sector Years later, Kaplan & Porter (2011) designed a seven-phase proposal for determining costs with TDABC for the healthcare sector. The TDABC system is suitable for this sector as it is geared towards the best use of resource capacity, allowing to observe the extent to which costs are used in the activities that make up the patient care cycle and compare this with the proportion of unused capacity in terms of labour, technical resources, equipment, supplies and other resources consumed by a patient (Al Amiri & El Khmidi, 2019). This system uses a micro-costing approach to estimate direct medical costs (Alcaraz et al., 2021). TDABC provides a different perspective to traditional cost data processing systems, as it allows for a more effective redesign of patient care, using a bottom-up costing approach. In other words, it identifies the costs for each step of the process, which is known as process mapping. It establishes the time required to consume resources, with an emphasis on determining practical capacity, which can range from 80% to 85% of actual time spent by staff on providing patient care. It also calculates the cost of the space and equipment used, identifies the costs related to the medical procedure, and proceeds to calculate the costs (Anzai et al., 2017; Crott et al., 2016). In this same direction, Oklu et al. (2015) add four fundamental principles for measuring healthcare costs. First, there are non-reimbursable resources that nevertheless incur additional costs, such as educational talks, sending information by email to patients or their families, and even entering data into medical records. Secondly, the patient's medical condition should be the unit of analysis for measuring costs. Thirdly, costs should be measured throughout the entire patient care cycle, from initial diagnosis, education, and counselling, including clinical interventions and ongoing care management. Finally, when a resource is not being used, it should not be charged to the cost of the service, as it would be treated as an unused capacity cost. These principles lead to a better understanding and documentation of consumable clinical, administrative, and economic resources, which facilitate the calculation of capacity costs per health service. Regarding the study of non-utilised capacity, Blumenthal et al. (2018) analyse the practical capacity rate. First, they estimate that downtime can be as high as 5% for administrative and general services staff and up to 10% for doctors and specialists. Of the seven days in a week, six are working days, and of the 365 days in a year, only 224 are working days. The difference is considered to be public holidays, vacations, sabbatical leave, study, and research. Secondly, they focus on medical consumables, which are determined according to their acquisition cost, except for the costs of medicines that are charged directly to the patient; and then they focus on the cost of using physical spaces, taking into account the average time of use of these spaces. In turn, Choudhery et al. (2020) estimate that the systematic approach to cost determination under TDABC simplifies the process in relation to the ABC system, as it allows for more accurate data collection and analysis, taking into account the interdisciplinarity of key actors to capture the contribution of each role (medical specialist, nurse, financier, etc.). Studying the entire patient care cycle makes it possible to reduce waste and develop strategies to save time and money and improve efficiency. In short, the TDABC costing system facilitates decision-making regarding unused capacity (Kaplan & Anderson, 2004). TDABC uses temporal equations as an algebraic representation of a process diagram for a patient care cycle. The diagram comprises a flow of steps that allows detailed observation of resource consumption for each activity (Balakrishnan et al., 2017). However, as the organisational units of clinics and hospitals are structured according to medical and surgical specialities rather than the patient's medical condition, care is divided into multiple functional units, each of which performs only one component of the total care process (Balakrishnan et al., 2017). This division makes it difficult to identify the actual consumption of resources and the activities used by the patient throughout their healthcare cycle. Cost determination under TDABC begins with the phase of understanding the complete patient care cycle, followed by the phases of value chain design and process mapping, followed by the time estimation phase, for the calculation of costs through the design of time equations. As the cost determination phases under TDABC are developed, specific information is collected using prospective or retrospective techniques. An important retrospective technique is the analysis of the company's annual financial information, as the relevant costs are obtained from the hospital's finance department. On the other hand, the most commonly used prospective techniques are direct observation and semi-structured interviews, which allow information to be collected from the staff dedicated to each activity and on the use of spaces and equipment (Dubron et al., 2021). TDABC can be implemented relatively quickly since, initially, only two parameters need to be estimated: a) the unit cost of capacity supply and b) the time required to perform an activity. The great advance of TDABC lies in the use of multiple electronic time controllers, which companies can easily and quickly capture the time consumption in their operational processes (Akhavan et al., 2016). The implementation of TDABC is usually carried out with three objectives in mind: a) organisational, so that senior management can improve the overall visibility of the organisation, for example, regarding the high costs of administrative processes and redundant and unnecessary clinical processes, in order to address cost reduction; b) individual behaviour, to motivate professionals from different areas to work together to achieve integration between departments and specialities, in order to obtain qualified human resources, the allocation of functions, a higher level of experience and training for staff, etc.; and, finally c) cost management, to achieve better financial management and sustainability in accounting information systems (Kaplan & Porter, 2011). In recent years, TDABC has been considered an accurate methodology for cost management and control (McLaughlin et al., 2014). When implementing it, it is important to adopt the seven phases of TDABC using a prospective and retrospective approach. A continuous implementation plan should be designed, where effectiveness in business evaluation is the result of employee involvement, under an interdisciplinary team, always with the participation of the highest authority, and guided by a TDABC research team (Anzai et al., 2017; Erhun et al., 2020). Ghasemi Rad et al. (2022) estimate that the potential of TDABC can only be achieved over time and with sufficient personnel committed to change. Hernandez et al. (2019) consider TDABC to be a tool for calculating the costs of actual clinical and administrative processes used in the complete patient care cycle, involving teamwork between doctors, financiers, and the TDABC cost manager. When calculating costs, it is essential to make a clear distinction between direct and indirect costs (Thaker et al., 2022; Heaton et al., 2019). Calculating direct and indirect costs is essential for improving efficiency and maximising value in healthcare services (Choudhery et al., 2020). TDABC allows for a detailed outline of time, supplies, and the full flow of costs (Ghasemi Rad et al., 2022). Full flow of costs refers to the allocation of direct costs (personnel, equipment, and supplies, among others) and indirect costs (cleaning and use of different spaces) that are tracked throughout the patient's entire healthcare cycle. However, it is important to mention that in a study conducted on the medical costs of breast cancer, 13 of these evaluated only direct costs, and only two articles evaluated both direct and indirect costs, noting that indirect costs represented a high burden for these patients and were likely underestimated (Rezaei & Babaei, 2023). The estimation of indirect costs has generated a wide variety of criteria from different authors. For example, Goh et al. (2023) consider that TDABC allows for more accurate calculation of direct and indirect costs, as it focuses on the time staff spend providing a service and the time equipment is used. On the other hand, Allin et al. (2020) indicate that total cost accounting is essential for evaluating strategic cost savings and consider that indirect costs are related to the operational efficiency developed by the company to generate revenue. In contrast, authors such as Erhun et al. (2020) did not examine indirect costs as they consider them to be determined by externally imposed factors and, instead, consider all costs that can be traced during a healthcare episode to be direct costs. Other authors have also excluded them in TDABC implementations due to the complexity of analysing indirect costs, so they have only designed case studies for direct costs (Cardinaels & Labro, 2008; Dutta et al., 2018; El Alaoui et al., 2017; French et al., 2016; Goense et al., 2023) Some authors who decided to address indirect costs suggest that their distribution should be based on the volume of patients treated during the study period (Blumenthal et al., 2018; Erfani et al., 2023). However, Al Amiri & El Khmidi (2019) consider that estimating indirect costs based on the volume of patients treated replaces the determination of costs under the TDABC system with a traditional distribution system. On the other hand, Berthelot et al. (2021) justify that indirect costs represent a loss of revenue since they are resources consumed by the patient and must be recovered by the economic effort they represent for the service provider. They also demand high maintenance, repair, renovation, and continuous improvement costs due to technological advances. For their part, Ghasemi Rad et al. (2022) associate the consumption of indirect costs with the operational capacity of the company to generate revenue. Significant savings have been observed with the determination of costs under TDABC. Choudhery et al. (2020) observed a decrease of between 45% and 51% in procedure costs. Ghasemi Rad et al. (2022) identified that medical costs per patient fell to around £18.00 when implementing the practical capacity rate, and overall, indirect costs have decreased by up to 35% (Goh et al., 2023). 3. Research method The purpose of the research is addressed through a qualitative methodology, utilizing a case study approach to implement Time-Driven Activity-Based Costing in the healthcare sector. A case study offers a more nuanced perspective on complex organisational environments and provides a comprehensive understanding of management accounting practices. For Yin (1994), a case study is an exhaustive investigation, where factors of perspective, complexity, and uniqueness converge. By its nature, it can include various methods to generate evidence or proof regarding its findings (Sáez-Bondía & Cortés-Gracia, 2022). This costing methodology had previously been used in studies on TDABC implementations. For example, Anzai et al. (2017) determined costs under TDABC at an academic trauma medical centre in Boston. Dubron et al. (2021) conducted a prospective study at a maternity ward in Belgium for 23 patients in labour. Erhun et al. (2020) conducted research in two hospitals in the United States and one in India, on coronary revascularisation surgeries to reduce the effects of inter-hospital variation in quality, governance, and burden on the cost structure, among other high-impact case studies. 3.1. Case selection In line with the research purpose, a private Ecuadorian university hospital was selected because it represents a significant setting for applying the TDABC costing method, which is well-documented in healthcare. The choice reflects both the prevalence of TDABC studies in similar environments and the relevance to the national context. Ecuador, located in South America with a population of 16.9 million, allocates 61.44% of its General State Budget for public health expenditure and 38.56% to private health (Valdivieso & Agreda, 2023). However, national public sector health expenditure as a percentage of GDP represents only 4.9%, while private sector expenditure represents 1.5%. As of 2022, the population is served by 2,745 public health care centres and 475 private health care centres (Valdivieso & Agreda, 2023). The hospital under study was established in 1967 in the city of Cuenca and currently has state-of-the-art infrastructure. It is a large company that offers a wide range of medical specialties with highly trained staff. It has ISO 9001 Bureau Veritas Quality Management Certification. It is classified as a hospital equipped to provide tertiary healthcare services. In 2020, it decided to expand to the city of Loja under the same standards of quality in its services and hospital management. By 2022, t hospital extension located in the city of Loja had more than 100 employees working in different areas due to the wide range of services it offers. It has agreements with public and private health insurance companies. The hospital is highly predisposed to developing research projects and hosted a visit by specialists from the German Society of Medicine, Prevention, Rehabilitation, Internal Medicine, and Surgery. It also promotes academic development in real-world settings, both at the hospital in the city of Cuenca and in Loja. For this reason, a proposal for cost determination under TDABC was presented to the medical management, with the development of a pilot study on a surgical procedure at the hospital located in the city of Loja. They showed interest in learning about a modern cost management tool and gave their authorisation to begin the development of the case study. Authorisation was also granted to collect information from the hospital regarding arthroscopic surgical procedures, with the approval of their medical and administrative management, and the power to the administrative director to provide the requested information from the areas under her responsibility. It was agreed with the administrative director that any requests for information for the year 2022 would be sent by email to the relevant person, with a copy to the director. This designation of the area to be studied corresponds to Phase 1 of Medical Condition Selection, the first of the seven phases of TDABC implementation in the healthcare sector proposed by Kaplan & Porter (2011). 3.2. Data collection In the process of collecting empirical data, prospective techniques were used, such as semi-structured interviews, direct observation, and visits to the centre, as well as retrospective techniques such as reviewing secondary documentation and the medical records of patients who underwent surgical procedures in this specialty. Semi-structured interviews were conducted with the medical director and hospital staff to learn about the study area, and visits were made to each of the study areas to identify activities through direct observation. Moreover, documentary information was requested, such as the Comprehensive Income Statement for 2022 and medical records from the second half of 2022. From January to June 2023, general information was obtained from the hospital about its functional organisational structure. This included medical specialties, the activities and tasks carried out in each study area, through semi-structured interviews with staff from the finance department, the administrative director, heads of technology, IT management, reception, nursing station, pharmacy, and medical laboratory departments. Afterwards, from July to September 2023, various semi-structured interviews were conducted with staff from different areas involved in the surgical procedure under study. To gather information from different areas, a member of the hospital staff was appointed to effectively and promptly direct interviews to the corresponding managers. This person also assisted in facilitating communication between the relevant departments. Between October and December 2023, information from patients' medical records was accessed. For this purpose, a physical area within the hospital was assigned for confidentiality reasons, as patient information could not be removed from the premises. The direct review of all 60 medical records of patients admitted for arthroscopic surgery during the second half of 2022 made it possible to organize a database with efficient information for calculating costs under TDABC. In the first half of 2024, fieldwork continued at the hospital facilities with the support of the assigned staff. Direct observation techniques were used to determine the start and end of the medical care cycle for an arthroscopy patient, visiting each of the areas that a patient diagnosed with this type of surgery goes through. With the information gathered, a diagram of the areas was designed. The different activities carried out were then investigated with those responsible. This information facilitated the understanding and design of the two subsequent phases of TDABC implementation: Phase 2, in which the value chain of the health service was defined, and Phase 3, in which the process maps for each activity of the health service were designed. Information on patients undergoing arthroscopic surgery was compiled in an Excel database, which contained general information on the patient from their admission to the operating theatre until their transfer to the post-operative ward. The information collected was used to complete the data gathered for the design of phases 2 and 3 mentioned above. In the third quarter of 2024, secondary documentation was obtained in the form of a physical copy of the articles of the constitution and financial and economic information for the period under study. It was received by email in Excel format with the approval of the administrative director. This information was used to begin analysing the quantitative data for determining costs under the TDABC system. 3.3. Data analysis The research design was mixed-method, and the method applied was abductive. Mixed-method research comprises a qualitative part that is directly related to all the information collected from the hospital in order to understand its structure, form of organisation, and the development of activities in the surgical procedure under study, and a quantitative part or approach that was applied to determine costs under TDABC for the arthroscopy surgical procedure. For its part, the abductive method seeks logical and epistemological reflection with a dual ontological and semantic dimension. Under this method, the researcher ultimately infers reality, which stems from their logical knowledge constructed within a sustained and validated theoretical framework (Moscoso & Palacios, 2019). In other words, based on the reality of empirical work and the existing theoretical support for TDABC, the observational field is limited to the existing theory, and then the data required to be verified during the practical application of TDABC is generated to fit the economic reality of the arthroscopy surgical procedure for the hospital under study. With all the information gathered, Kaplan & Porter's (2011) seven-phase proposal was applied to determine costs under TDABC in the healthcare sector. The phases (P) are: In F1, the surgical procedure under study is selected, and in F2, the health service value chain is defined. In the development of these phases, prospective and retrospective information gathering techniques are applied, which are essential for the application of the remaining five phases. In F3, process maps are designed for each health service activity. In F4, time estimates for each process are obtained in minutes. Starting in phase 4, a specific patient undergoing arthroscopic surgery for severe knee pain (row 22 of Table 5) is chosen for the development of this and the following phases and for the calculation of the cost of their pathology. In F5, the monthly cost of providing the service to a patient is estimated (company financial information). Next, in F6, the practical capacity of each resource provider is estimated according to the time of resource consumption. Then, in F7, the total cost (direct and indirect costs) of providing the service to the patient is calculated. Once these results have been obtained, the costs of the 60 cases studied are calculated. The research carried out showed that the case study, in an implementation of TDABC, generates useful information for managerial decision-making. The results were analysed in two ways: firstly, a general description was made of patient behaviour regarding medical records, and secondly, each of the phases of cost determination under TDABC for arthroscopic surgical procedures was developed using different information collection techniques 4. Results The results are presented below. First, a characterisation of the patients is given, including their gender, surgical procedure, average age, health insurance status, and services received from the public health network. This information was obtained from 60 medical records of patients who underwent arthroscopic surgery during the second half of 2022. Second, the cost determination using TDABC in the study area is presented. 4.1. Characterisation of arthroscopy patients Sixty medical records from the second half of 2022 were reviewed from patients with arthroscopy pathologies. Most of patients who underwent surgery were men (87%), who had come in for pathologies involving tears (50%) and dislocations (36.7%), followed by trauma, osteoarthritis, and fractures (Fig. 1). Approximately 81% of patients had an average age of 25 to 44 years (34 patients), followed by 15 patients aged 45 to 64 years, with the remaining eleven patients aged between 5 and 24 years and patients over 65 years of age (Fig. 1). Following this, the type of insurance used by individuals attending this healthcare provider was analysed. It was observed that 65% of patients attend this healthcare facility under the social security service, followed by those who have taken out private insurance (25%) and, to a lesser extent, individuals who attend privately (6%) (Fig. 2). A total of 45 cases were recorded for tears, of which medial meniscus tears accounted for the most cases, followed by knee dislocations and trauma to the lower and upper extremities, with a total of 12 cases, and a minimal number of fractures and degenerative diseases, with 3 cases. This is the result of the total of 60 medical records submitted for study. The social security network in Ecuador is divided into three segments: Social Security for the Armed Forces (ISSFA), the National Police Social Security Institute (ISSPOL), and the Ecuadorian Social Security Institute (IESS) for the general public who contribute to compulsory social security. It was observed that patients from the national police and armed forces were the ones who most frequently attended this private hospital for conditions such as tears, dislocations, and trauma. In general, their ages range from 25 to 64 years (Fig. 3). People who attend privately are older than 65 years. Once the characterisation of patients treated under arthroscopy procedures has been carried out, the case study is developed to determine costs under TDABC. The information was organised for each of the TDABC implementation phases proposed by Kaplan & Porter (2011) and the application of techniques to obtain information, using a prospective and/or retrospective approach. 4.2 Implementation of TDABC Next, the development of the case study begins with the surgical procedure of arthroscopy under the case study method, to determine the TDABC costs of a private university hospital in Ecuador. It is carried out following each of the seven phases proposed by Kaplan & Porter (2011), which correspond to the following subsections. The content is structured as follows: 4.2.1 Phase 1. Selection of the medical condition; 4.2.2 Phase 2. Definition of the value chain; 4.2.3 Phase 3. Design of process maps for each health service activity; 4.2.4 Phase 4. Time estimates for each process; 4.2.5 Phase 5. Estimating the cost of providing the service to each patient, 4.2.6 Phase 6. Estimating the practical capacity of each resource provider; 4.2.7 Phase 7a). Determination of the total cost of providing patient care and 4.2.8 Phase 7b) Determination of costs under TDABC - 60 medical records of arthroscopic procedures. 4.2.1 Phase 1. Selection of the medical condition. The beginning of the case study development was marked by the assignment of the arthroscopy area for cost determination under TDABC. To this end, a direct observation technique was developed through fieldwork to understand the integration of staff and activities involved in the arthroscopic surgical procedure. A semi-structured interview was conducted with the outpatient and emergency departments to understand where a patient diagnosed with arthroscopy surgery begins his/her intervention process. In general, this surgical procedure is related to pathologies affecting the knee, ankle, hip, shoulder, or wrist. In addition, the rest of the services used by an arthroscopy patient, such as hospitalisation, operating theatre, nursing, imaging department, and pharmacy, were investigated, with varying degrees of intervention. 4.2.2 Phase 2. Definition of the value chain. The value chain includes every area an arthroscopy patient may require, regardless of pathology. We then identified the primary and secondary activities related to the arthroscopy procedure. This made their description easier. The tasks performed in different activities of the surgical process under study were specified ( Fig. 4). A prospective study was conducted to develop the value chain, involving six semi-structured interviews with staff members from the emergency, outpatient, hospitalisation, operating theatre, nursing station, and reception areas to obtain information on each of the primary and secondary activities. Primary activities describe all the processes involved in the area of study, and secondary activities complement the efficient execution of this procedure (Fig. 4). Identifying these activities in the patient care cycle was the starting point for designing process maps and measuring subsequent results. 4.2.3 Phase 3. Designing process maps for each health service activity In this phase, the process map for the arthroscopic surgery procedure was designed. The content and structure of this map were validated by the officials working in each of the areas. The Wondershare EdrawMax tool was used to design the process map. A prospective study was conducted. Meetings were held with the medical and administrative management areas. Semi-structured interviews were also conducted to obtain information from the following areas: emergencies, outpatient consultations, pharmacy, laboratory, operating theatre, and nursing station. This process map was structured, taking into account the entire procedure that a patient would follow upon admission with symptoms that may ultimately require arthroscopic surgery. As can be seen, this process map is quite comprehensive, as it includes all the particularities involved in caring for a patient with these characteristics. The processes were identified and classified as follows: diagnosis, preparation or pre-operative, surgical intervention, and rehabilitation or post-operative. Each process contains a breakdown of essential activities in the complete patient care cycle. It is important to understand the flow of information for each process: - In ‘diagnosis,’ the patient is analysed to rule out the need for surgery, as they have never been transferred to the operating theatre for arthroscopic surgery since being admitted as an emergency. -In ‘preparation – preoperative,’ on the one hand, the patient plans the surgery with the specialist, and, on the other hand, for their admission to the outpatient clinic, the medical record is opened, and, if the patient has not been a patient in the hospital before, a new medical record is created. -In ‘surgical intervention’, the patient is referred for surgery after being seen by the specialist in an outpatient consultation. Activities that lead to hospitalisation are identified. Subsequently, the operating theatre is prepared to begin the surgical procedure until the patient is transferred to the recovery room. The entire surgical procedure is incorporated into their medical record. Resource consumption, equipment, and labour usage times are identified. - In ‘rehabilitation and post-operative care,’ the patient is transferred to their room, assessed by the specialist, and plans are made for their discharge. 4.2.4 Phase 4. Time estimates for each process. The activities in the general process map (Fig. 5) form the basis for designing the process map, adding the time factor (Fig. 6), specifically for each particular real-life case. In the medical records studied, patients with tears accounted for the highest number of cases requiring arthroscopic surgery. For this reason, it was decided to calculate the costs, separating direct and indirect costs, of a patient admitted for arthroscopic surgery due to severe knee pain. To develop the second process map (Fig. 6), fieldwork was carried out. Authorisation was requested from the administrative management to attend and observe in situ the intervention of a patient aged between 25 and 44 who was scheduled to undergo arthroscopic surgery for this condition. With the information obtained and the information from the medical records, phase 4 was initiated and continued through phase 7, with data from the same patient. For reviewing the 60 medical records, all resource-consuming activities were controlled by the time factor (labour, use of equipment and spaces, etc.). The information for each patient was compiled in a properly structured database. A wide variety of pathologies were observed, such as knee pain, tears, inflammation, meniscus disorders, joint dislocation, rotator cuff syndrome, and meniscus tears or wear. A standard was established for the time consumption of each activity: opening or creating the medical record, performing pre-surgery examinations in the laboratory, recording the surgical procedure, transferring the patient to the room, specialist control, and billing. Regarding the registration of time in medical records, the surgical team records the actual time spent in the operating theatre from the moment the patient enters the theatre for preparation, administration of anaesthetics, beginning of surgery, and transfer to the recovery room (Fig. 6). The process map and estimated times were validated with the administrative management and corroborated with the information taken during the surgical process described in the medical records. For the fieldwork, a prospective study was conducted and a direct observation technique was developed. This process facilitated understanding the times recorded by doctors in the medical records, as well as the different activities carried out in the operating theatre. Figure 6 includes only activities that reflect the consumption of resources in arthroscopic surgical procedures, taking into account the time factor. The time (indicated by orange circles) was established for each activity in the arthroscopic surgery procedure. Thus, for example, the total time spent on preoperative and postoperative activities such as ‘creating medical records’ and/or ‘opening medical records,’ ‘performing routine preoperative examinations,’ ‘recording the surgical procedure,’ ‘transferring to room,’ ‘specialist control,’ and ‘billing’ was standardised at a total average of 143 minutes for all medical records studied, as this is considered the average time for the entire patient care cycle in these general areas for arthroscopic surgical procedures. On the other hand, activities directly related to surgery (indicated by bright blue colour) such as: ‘entering the operating theatre to prepare for surgery’ (75 minutes), ‘administering anaesthesia’ (120 minutes) and ‘starting surgery’ (105 minutes), and the phase in which ‘the patient is transferred to the recovery room’, which is the most time-consuming (135 minutes), add up to a total of (435 minutes). Thus, it is estimated that the total time consumed by resources for this patient amounts to 578 minutes. It should be noted that the 120 minutes for administering anaesthesia and the 105 minutes for surgery are recorded separately because different specialists are involved: the anaesthesiologist, the surgeon, and the circulating physician who acts as an assistant during surgery, even though these times overlap. As can be seen from the data, the patient's length of stay in the recovery room was 2.25 hours, and after the anaesthetist's diagnosis, the patient was transferred to rest hospitalisation. To this end, the operating theatre nurse specified that this is the time required by the anaesthetist for the patient to recover fully from the effects of the anaesthesia. The activities (dark blue coloured) are directly related to the surgical process, and the time is specific to each patient according to the identified pathology, and the patient's responsiveness to surgical procedures, whether due to age or gender, health comorbidities, family history, among other factors related to their health status. The activities (in pale colours) are complementary, occurring before or after surgery. They are essential for quality patient service and for generating the necessary reports and records about the resources used. The process map (Fig. 6) helps estimate and allocate costs only for arthroscopy procedures, as identified by the patient's medical record pathology. It is worth mentioning that the hospital currently has a policy of systematically recording the time from the beginning of different stages of the surgical procedure within the operating theatre area. According to the interview conducted with the operating theatre nursing staff, in this type of procedure, once patients have been stabilised in the recovery room, they are usually admitted to rehabilitation with a minimum stay of one day. In other words, outpatient services do not apply to this type of surgery. This information was corroborated by the administrative director. 4.2.5 Phase 5. Estimating the cost of providing service to each patient The hospital under study has some organisational advantages. The accounting system is designed for hospital services. It includes an electronic system for recording and monitoring staff attendance, as well as a properly structured informatics department to provide technical support in all areas of the hospital and support control procedures when required by senior management. Therefore, the information it generates is timely and aims to systematise all processes. When an employee is hired, they are directly assigned in the system to the area or areas in which they will work, with their respective percentage of dedication. Each general cost group is attributed the depreciation of the movable property and medical equipment used in that area, as well as the respective resources and supplies, medical equipment materials, and other indirect costs related to that area. For the development of phase 5, estimating the cost of providing the service to each patient, a retrospective and prospective study was conducted. The documentary information technique was applied, which consisted of analysing the cost information provided in digital format in Excel by the hospital's accounting department for the same period as the medical records. The costs were organised and classified according to the time consumed by an arthroscopy patient during their procedure, as shown in Figure 6. The accounting items were extracted from the 2022 Comprehensive Income Statement about surgical procedures. Table 1. Total costs associated with surgical procedures. Code A ccounting items Total annual cost dollars (A) % CT (B) Annual cost allocation dollars (C) % Accounts (D) Monthly cost in dollars (E) (E=C/12) 6. Costs 5.535.955,13 100% 61. Direct costs 2.894.588,51 52,29% 1.339.988,99 46,29% 111.665,75 61.01. Outpatient consultations 268.818,23 231.606,86 8,00% 19.300,57 61.02 Hospitalisation 816.425,27 690.076,20 23,84% 57.506,35 61.03 Operating theatre 229.120,32 152.402,09 5,27% 12.700,17 61.04 Sterilisation 85.408,53 20.808,10 0,72% 1.734,01 61.06-10 Imaging and radiology 202.776,51 184.343,13 6,37% 15.357,94 61.11 Pharmacy 47.261,91 47.261,91 1,63% 3938,49 61.13.01 Medical waste 13.490,70 13.490,70 0,47% 1.124,23 62. Indirect costs 908.775,46 16,42% 474.605,11 52,22% 39.550,43 62.01 Billing 90.104,39 81.265,23 8,94% 6.772,10 62.02 Systems and software 9.927,33 8.525,46 0,94% 710,46 62.03 Maintenance and medical equipment 27.564,56 23.341,47 2,57% 1.945,12 62.04 Cafeteria 15.597,43 11.294,64 1,24% 941,22 62.07.01 Property, plant and equipment 298.918,10 298.194,98 32,81% 24.849,58 62.13 Auxiliary services 35.798,75 33.883,26 3,73% 2.823,61 62.14 Business Informatics 17.977,66 17.428,40 1,92% 1.452,37 62.15 Medical audit 671,67 671,67 0,07% 55,97 63. Occupational medicine costs 211.524,70 3,82% 64. Associate services 1.521.066,46 27,47% TOTAL COST 5.535.955,13 1.814.594,10 151.216,19 Source: Own elaboration, based on information obtained from medical records. As can be seen in Table 1, the total costs extracted from the Comprehensive Income Statement for the year 2022 are distributed into four main groups (direct, indirect, occupational medicine, and associated services). However, for the study, we focused only on 52.29% of direct costs and 16.42% of indirect costs. With the remaining 31.29% distributed among accounting groups 63 (occupational medicine-related costs) and 64 (outpatient cardiology services and intensive care unit), which are not part of an arthroscopy procedure. Following the total direct and indirect costs, only those costs related to arthroscopic surgical procedures are filtered. Therefore, 46.29% of direct costs and 52.22% of indirect costs. Within the direct costs, hospitalisation costs account for the largest share at 23.84%, followed by outpatient consultation costs at 8%. The 6.37% is distributed among imaging and radiology, and 5.27% among operating rooms, which are the most representative costs, since 2.82% is distributed among sterilisation, pharmacy, and medical waste. Meanwhile, regarding indirect costs, the largest share is attributed to depreciation costs for property, plant and equipment at 32.81%, billing at 8.94%, auxiliary services at 3.73%, software and computer equipment at 2.86%, medical equipment maintenance at 2.57%, and only 1.31% for the cafeteria and medical auditing. Finally, the direct and indirect costs to be allocated are converted to monthly figures because Kaplan & Porter (2011) suggest in the TDABC implementation methodology that allocable costs should be converted to monthly figures (Table 1) to obtain the practical capacity cost rate. For further analysis, only the value of the monthly costs will be used. 4.2.6 Phase 6. Estimation of the practical capacity of each resource provider The actual time in hours per month of dedication was calculated. On the one hand, for healthcare providers, referring to human capital from their different areas, and, on the other hand, with respect to fixed capital corresponding to the time of use of the assets in the provision of the service. The Labour Code (National Congress of Ecuador, 2014) emphasises that all Ecuadorian employees shall work an 8-hour day, provided that they do not exceed 40 hours per week over 5 working days. In other words, this commitment is equivalent to 40 hours per week or 160 hours per month, or 20 working days per month. Kaplan & Porter (2011) consider it relevant in their pilot proposal to calculate the practical monthly work capacity of employees and the use of their equipment. Under this criterion, they propose the following equation: Where: a) Actual days worked by the employee per year, excluding public holidays, compulsory rest days, and leave. b) Hours worked by an employee during their normal working day, as stipulated by law c) Average hours spent on activities not related to their job role. To develop this equation, the actual performance of each employee's working day had to be verified internally in each area, taking into account possible daily contingencies. When developing a case study, it was decided, in conjunction with the accounting and administrative management departments, to use 85% of practical capacity as the calculation unit. This is because, as it is a university hospital where doctors perform academic, research, and practical functions, it is much more feasible to apply the practical capacity standard, which ranges from 75% to 85%. This standard value has been widely applied in the development of cases by various authors (Anzai et al., 2017; Hayatghaibi et al., 2021). It is therefore understood that 20% or 15% of the time, employees engage in activities unrelated to their working hours. Therefore, from an initial 160 hours per month, a practical capacity of 136 working hours per month was obtained. It is equivalent to 6.8 effective working hours per day. A normal absence of 1.2 hours per day was estimated for employees, without compromising their intellectual or physical performance. The information obtained provides the data needed to develop Equation 1 (E1). The monthly cost (direct and indirect) obtained in Table 1, was divided by the practical capacity rate obtained in phase 6 (136 hours of practical capacity). E1 is developed in Table 2. Thus, for example, for the Operating Room, the practical capacity cost rate was $93.38 per hour of work. ($12,700.17/136 hours of practical capacity rate). Table 2. Practical capacity cost rate (E1) – Surgical procedure Code A ccounting items Monthly cost in dollars (A) Practical capacity cost rate (B) (A/136h) ( dollars /h) Percentage ratio % Practical capacity rate - Hours per month: 136 h 61. Direct costs 111.665,75 100% 61.01. Outpatient consultations 19.300,57 141,92 17,28 61.02 Hospitalisation 57.506,35 422,84 51,50 61.03 Operating theatre 12.700,17 93,38 11,37 61.04 Sterilisation 1.734,01 12,75 1,55 61.06-10 Imaging and radiology 15.357,94 112,93 13.75 61.11 Pharmacy 3.938,49 28,96 3,53 61.13.01 Medical waste 1.124,23 8,27 1,01 62. Indirect costs 39.550,43 100% 62.01 Billing 6.772,10 49,79 17,12 62.02 Systems and software 710,46 5,22 1,8 62.03 Maintenance and medical equipment 1.945,12 14,30 4,91 62.04 Cafeteria 941,22 6,92 2,38 62.07 Property, plant and equipment 24.849,58 182,72 62,83 62.13 Auxiliary services 2.823,61 20,76 7,14 62.14 Business Informatics 1.452,37 10,68 3,67 62.15 Medical audit 55,97 0,41 0,14 Source: Own elaboration, based on information obtained from medical records. With the data obtained in Table 2 on total direct costs, it can be observed that the costs of ‘outpatient consultations’, “hospitalisation”, and ‘operating theatre’ have the highest hourly capacity cost rates (80%), followed by imaging and radiology (13.75%), in relation to the rest of the accounting items. On the other hand, when analysing indirect costs, it can be seen that the accounting item ‘depreciation of property, plant and equipment’ represents the largest share (63%), followed by “billing” costs (17%), ‘service assistants’ (7%), and ‘medical equipment maintenance’ (5%). 4.2.7 Phase 7a). Determination of the total cost of providing arthroscopic surgical services. In this phase, the second temporary equation (E2) is calculated. E2 is estimated from the ratio of time (calculated in phase 4) of resource consumption by the patient in each activity (Fig. 6) to the practical capacity cost rate (E1), which is included in Table 2 (column B). At first glance, the equations are simple to calculate; however, E2 becomes complex because the practical capacity rate must be multiplied by the resource used during the arthroscopic surgical procedure per patient. Given the significant amount of data, reliable accounting information is required, duly classified to identify the resources consumed by each activity during the service provision process and, in turn, to identify direct costs and their precise relationship with indirect or support costs (Kaplan & Porter, 2011). In this phase, a retrospective study was conducted, reviewing the detailed accounting entries in the Comprehensive Income Statement for each of the costs incurred. This was complemented by a prospective study using semi-structured interviews with the accountant to validate each of the accounting entries related to the arthroscopic surgery service analysed. E2. Total cost = E1. Practical capacity cost rate x Phase 4. Times for each resource The times used for each resource (Fig. 6), both standard costs and times recorded in the surgical procedure, must be multiplied by the practical capacity cost rate (Table 2). This result determines the total cost of the arthroscopy service for each patient in the study. It is important to note that when determining costs under TDABC, the aim is not to generalise the time for all arthroscopy surgical procedures, as it is natural for times to differ due to the diversity of personal health factors faced by each patient and the state of health with which they enter surgery, including comorbidities specific to each person. Table 3 shows the total direct costs for the activities identified in the preoperative, surgical intervention, and postoperative processes of the arthroscopic surgical procedure, based on the time identified in (Fig. 6), for which the direct cost rate of practical capacity is used as the basis for allocation. Table 3. Direct costs – Arthroscopic surgery for severe knee pain Source: Own elaboration, based on information obtained from medical records. The abbreviations for each column of direct costs are: (CE) outpatient consultation, (HP) hospitalisation, (QR) operating theatre, (ES) sterilisation, (IR) imaging and radiology, (FM) pharmacy and (DS) medical waste. Table 3 shows the relationship between each activity, time, and direct costs incurred by a patient undergoing arthroscopy for severe knee pain during the entire medical care process. It was found that approximately 85% of the direct costs of hospitalisation and surgery are incurred in different activities: pre-operative, surgical intervention, and post-operative, while 10% are consumed in outpatient consultations, sterilisation, and medical waste, and the remaining 4.76% comprises imaging and radiology for pre-surgery examinations and pharmacy for the discharge of surgical instruments prior to each surgery. If the results are analysed in terms of time consumption in fractions of hours, it can be observed that of the 9.30 hours, only 2.05 hours are spent on non-surgical activities (pre-operative and post-operative), while 7.25 hours are spent on surgical intervention activities. However, if we focus the analysis on estimated direct costs, 58.17% were generated in non-surgical activities and 41.82% in surgical intervention activities. In other words, determining costs under TDABC leads to greater precision in the activities that consume resources. This kind of information is useful for managerial decision-making. In calculating the direct costs related to the arthroscopic surgical procedure, the study took a retrospective approach based on documentary information obtained from the company, such as that from the Comprehensive Income Statement for the year 2022, and a prospective approach based on meetings held with the accounting team to validate and appropriately allocate the time spent on different activities. Finally, indirect costs were estimated, which, when generated over a complete economic period, represent a significant burden. That is, when taking the value generated in the capacity cost rate for the time this resource is used in ‘billing’ ($49.79 x 0.33), the result of $16.60 would be the indirect cost of the ‘billing’ activity. Table 4. Indirect costs – Arthroscopic surgery for severe knee pain Source: Own elaboration, based on information obtained from medical records. The initials for indirect costs correspond to: (FC) billing, (SS) systems and software, (ME) medical equipment maintenance, (C) cafeteria, (DPP) depreciation of property, plant and equipment, (SA) auxiliary services, (IE) business informatics, (AM) medical audit. Table 4 integrates the practical capacity cost rate per hour of consumption of the indirect costs and relates to each of the activities identified in the arthroscopy surgical procedure. The usage time factor for each resource during the patient care cycle is applied to obtain the total cost. Approximately 78% of the indirect costs incurred by an arthroscopic surgical procedure for severe knee pain are related to depreciation of property, plant, and equipment, followed by 8.76% for auxiliary services, 6.71% for systems, software, and business IT, and 6.04% for medical equipment maintenance. Following the same analysis regarding the consumption of indirect costs as a function of time. We observe that of the 9.30 hours, the 2.05 hours devoted to non-surgical activities (pre-operative and post-operative) consume 23% of indirect costs, and the 7.25 hours related to surgical intervention activities absorb 77% of this cost group, as determined under the TDABC system. The indirect costs are added to the direct costs and other direct costs generated by supplies and medication during surgery, routine tests for surgery, and room and board services, to obtain the total cost of this surgical procedure under TDABC. For the surgical procedure on the patient with severe knee pain, the total cost was $4,638.33. When comparing this cost with the cost obtained under the hospital's costing system, the former reflects a value 101% higher than the latter. This difference is due to the higher burden represented by the indirect costs calculated with TDABC, since they have been tracked using the time cost driver during the patient's surgical intervention process. These results confirm the assertion made by Berthelot et al. (2021) that a patient would not bear the total burden of indirect costs incurred during their surgical procedure. Indirect costs calculated using TDABC, as they are estimated under the cost driver ‘time’, reflect a more realistic consumption of the different resources and facilities used by a patient during a surgical procedure. 4.2.8 Phase 7b) Determination of costs under TDABC assigned to each arthroscopic surgery medical record Once the cost for the patient under study had been defined, both direct and indirect costs were estimated and assigned to the 60 medical records that make up the research, following the same procedure used in phases 4 to 7. The subsequent analysis shows the costs determined under the TDABC system and the cost management system implemented in the hospital. In any surgical procedure, there are general activities that consume the same amount of time regardless of the health procedure, as is the case in this research. The time spent using resources for each arthroscopy patient was generalised for the 60 medical records, with regard to the following activities: ‘opening medical records’, ‘performing routine pre-surgery examinations’, ‘recording the surgical procedure, admitting to room’, ‘specialist check-up’ and ‘billing’; because these times were not monitored for each patient in their medical records. However, when designing the process map, the time for these activities (Fig. 6) was validated by staff in each area, and these times were estimated as the average for the patients. For the activities ‘enter the operating theatre for preparation’, ‘administer anaesthesia’, ‘begin surgery’, and ‘transfer to recovery room’, calculations were made based on the time recorded in each of the 60 medical records of arthroscopy patients, as shown in Table 5. Table 5. Determination of costs under TDABC for each arthroscopic surgery medical record HC Arthroscopy surgical procedure TDABC Costs Hospital System Costs Difference CE IR PC PA IC SR HP FC TH CE CD CI OCD CT CD CI CT N° T/h T/h T/h T/h T/h T/h T/h T/h T/h T/h $ $ $ $ $ $ $ $ % 1 0,17 0,00 3,30 2,45 2,42 1,55 0,30 0,33 0,25 0,58 1.764,78 2.688,39 677,90 5.131,07 1.646,05 570,92 2.216,97 2.914,10 131,45 2 0,17 0,00 0,25 1,10 1,00 2,05 0,30 0,33 0,25 0,58 1.133,59 1.443,78 209,60 2.786,97 739,58 407,70 1.147,28 1.639,69 142,92 3 0,17 0,00 1,05 1,25 1,08 2,20 0,30 0,33 0,25 0,58 1.270,31 1.720,79 239,71 3.230,82 872,39 413,60 1.285,99 1.944,83 151,23 4 0,33 0,00 1,30 1,25 0,83 1,45 0,30 0,33 0,25 0,58 1.204,11 1.592,53 261,99 3.058,64 952,09 578,29 1.530,38 1.528,26 99,86 5 0,17 0,00 1,40 1,25 1,17 1,30 0,30 0,33 0,25 0,58 1.218,28 1.611,55 296,67 3.126,49 671,09 413,60 1.084,69 2.041,80 188,24 6 0,17 0,00 1,10 1,35 1,33 3,00 0,30 0,33 0,25 0,58 1.411,65 2.001,71 337,51 3.750,86 1.174,47 476,25 1.650,72 2.100,14 127,23 7 0,17 0,00 1,10 1,05 0,83 3,00 0,30 0,33 0,25 0,58 1.312,02 1.814,43 358,00 3.484,45 705,74 413,60 1.119,34 2.365,11 211,30 8 0,17 0,00 1,00 1,35 1,25 1,33 0,30 0,33 0,25 0,58 1.198,27 1.567,85 212,11 2.978,23 1.999,72 476,26 2.475,98 502,25 20,29 9 0,17 0,00 0,30 2,00 1,67 2,39 0,30 0,33 0,25 0,58 1.368,24 1.901,83 2.157,35 5.427,41 3.180,34 360,42 3.540,76 1.886,65 53,28 10 0,33 0,00 2,00 1,35 1,17 0,05 0,30 0,33 0,25 0,58 1.179,01 1.530,11 290,43 2.999,55 226,37 461,63 688,00 2.311,55 335,98 11 0,33 0,42 0,40 1,30 1,17 2,00 0,30 0,33 0,25 0,58 1.440,02 1.697,88 293,89 3.431,79 843,11 334,80 1.177,91 2.253,88 191,35 12 0,17 0,00 2,30 1,30 1,17 2,30 0,30 0,33 0,25 0,58 1.441,36 2.068,03 470,41 3.979,80 1.592,08 413,60 2.005,68 1.974,12 98,43 13 0,17 0,00 3,27 1,15 1,00 1,26 0,30 0,33 0,25 0,58 1.394,04 1.976,74 218,96 3.589,74 838,30 413,60 1.251,90 2.337,84 186,74 14 0,17 0,00 1,40 1,45 1,33 1,55 0,30 0,33 0,25 0,58 1.291,53 1.755,91 1.216,52 4.263,95 2.223,92 482,15 2.706,07 1.557,88 57,57 15 0,17 0,00 1,45 1,15 1,08 1,45 0,30 0,33 0,25 0,58 1.218,83 1.615,45 560,49 3.394,77 1.179,83 413,60 1.593,43 1.801,34 113,05 16 0,17 0,00 1,20 1,10 1,00 1,40 0,30 0,33 0,25 0,58 1.167,91 1.514,01 363,70 3.045,62 1.097,34 413,60 1.510,94 1.534,68 101,57 17 0,17 0,00 4,40 1,45 1,25 0,35 0,30 0,33 0,25 0,58 1.486,56 2.157,77 1.159,65 4.803,98 1.961,86 470,35 2.432,21 2.371,77 97,52 18 0,17 0,00 1,45 1,45 1,25 2,45 0,30 0,33 0,25 0,58 1.389,32 1.958,79 550,57 3.898,68 1.343,93 479,20 1.823,13 2.075,55 113,85 19 0,17 0,00 2,10 1,45 1,25 1,10 0,30 0,33 0,25 0,58 1.309,24 1.794,92 453,75 3.557,91 1.010,41 470,35 1.480,76 2.077,15 140,28 20 0,17 0,00 2,10 1,30 1,25 2,30 0,30 0,33 0,25 0,58 1.429,36 2.040,72 500,20 3.970,29 1.037,62 413,60 1.451,22 2.519,07 173,58 21 0,17 0,00 4,47 1,20 1,17 2,15 0,30 0,33 0,25 0,58 1.660,62 2.516,72 211,10 4.388,44 1.034,72 413,60 1.448,32 2.940,12 203,00 22 0,17 0,42 1,25 2,00 1,75 2,25 0,30 0,33 0,25 0,58 2.050,85 2.203,72 383,76 4.638,33 1.722,54 576,56 2.299,10 2.339,23 101,75 23 0,33 0,42 1,10 3,50 3,50 3,55 0,30 0,33 0,25 0,58 2.958,59 3.285,83 4.243,04 10.487,47 5.235,52 813,90 6.049,42 4.438,05 73,36 24 0,17 0,00 1,10 1,45 1,33 3,35 0,30 0,33 0,25 0,58 1.463,13 2.107,05 321,57 3.891,75 872,33 476,25 1.348,58 2.543,17 188,58 25 0,17 0,00 0,30 1,30 1,17 7,45 0,30 0,33 0,25 0,58 1.801,72 2.805,44 520,41 5.127,57 1.422,55 346,60 1.769,15 3.358,42 189,83 26 0,17 0,42 0,30 1,40 1,33 7,00 0,30 0,33 0,25 0,58 2.010,14 2.860,06 1.557,97 6.428,17 2.435,31 688,40 3.123,71 3.304,46 105,79 27 0,17 0,00 2,05 1,15 0,83 1,40 0,30 0,33 0,25 0,58 1.249,10 1.685,68 513,33 3.448,11 1.346,28 401,80 1.748,08 1.700,03 97,25 28 0,17 0,42 1,58 1,10 1,00 1,40 0,30 0,33 0,25 0,58 1.438,46 1.701,28 409,58 3.549,32 927,76 419,84 1.347,60 2.201,72 163,38 29 0,33 0,00 0,20 2,40 2,17 2,00 0,30 0,33 0,25 0,58 1.446,90 2.045,12 1.124,07 4.616,09 2.340,85 579,73 2.920,58 1.695,51 58,05 30 0,17 0,00 1,15 1,30 1,25 2,15 0,30 0,33 0,25 0,58 1.303,52 1.783,22 1.274,23 4.360,97 2.069,91 413,60 2.483,51 1.877,46 75,60 31 0,17 0,00 0,35 1,20 1,17 6,25 0,30 0,33 0,25 0,58 1.658,72 2.512,82 730,83 4.902,37 1.849,16 643,10 2.492,26 2.410,11 96,70 32 0,17 0,00 0,07 1,10 1,00 2,10 0,30 0,33 0,25 0,58 1.118,34 1.412,56 435,82 2.966,72 1.882,77 200,16 2.082,93 883,79 42,43 33 0,17 0,42 0,20 2,30 2,17 2,15 0,30 0,33 0,25 0,58 2.008,03 2.107,05 3.759,39 7.874,47 6.951,57 880,16 7.831,73 42,74 0,55 34 0,17 0,42 1,40 2,45 2,17 2,10 0,30 0,33 0,25 0,58 1.804,38 2.411,38 1.190,42 5.406,18 2.430,90 570,92 3.001,82 2.404,36 80,10 35 0,33 0,42 0,35 1,15 1,00 1,53 0,30 0,33 0,25 0,58 1.341,61 1.502,02 299,67 3.143,29 1.871,06 150,31 2.021,37 1.121,92 55,50 36 0,17 0,00 0,30 0,50 0,42 2,40 0,30 0,33 0,25 0,58 1.034,52 1.260,40 358,74 2.653,66 1.583,37 411,77 1.995,14 658,52 33,01 37 0,33 0,00 0,20 1,55 1,50 2,20 0,30 0,33 0,25 0,58 1.285,47 1.736,89 332,78 3.355,14 966,72 512,36 1.479,08 1.876,06 126,84 38 0,33 0,00 1,30 1,15 1,00 2,35 0,30 0,33 0,25 0,58 1.317,40 1.818,83 365,74 3.501,97 889,82 413,60 1.303,42 2.198,55 168,68 39 0,17 0,00 1,30 1,10 0,83 1,50 0,30 0,33 0,25 0,58 1.169,02 1.521,81 271,93 2.962,76 749,43 413,60 1.163,03 1.799,73 154,75 40 0,17 0,00 0,55 2,00 1,92 1,20 0,30 0,33 0,25 0,58 1.293,35 1.740,30 308,87 3.342,52 1.538,86 464,45 2.003,31 1.339,21 66,85 41 0,17 0,00 0,30 1,40 1,17 2,35 0,30 0,33 0,25 0,58 1.229,72 1.634,96 320,67 3.185,34 871,43 502,75 1.374,18 1.811,16 131,80 42 0,17 0,00 1,00 3,05 2,50 1,45 0,30 0,33 0,25 0,58 1.569,74 2.286,52 3.682,29 7.538,56 4.752,11 565,02 5.317,13 2.221,43 41,78 43 0,17 0,42 1,10 1,15 0,67 2,20 0,30 0,33 0,25 0,58 1.436,87 1.709,09 673,54 3.819,49 617,56 116,46 734,02 3.085,47 420,35 44 0,17 0,00 0,55 3,30 3,00 3,15 0,30 0,33 0,25 0,58 1.806,65 2.754,72 2.320,63 6.882,00 3.461,75 990,96 4.452,71 2.429,29 54,56 45 0,17 0,00 0,30 1,10 1,00 3,10 0,30 0,33 0,25 0,58 1.259,43 1.701,28 1.088,73 4.049,44 2.307,86 472,37 2.780,23 1.269,21 45,65 46 0,17 0,00 1,20 1,10 1,00 1,50 0,30 0,33 0,25 0,58 1.179,35 1.537,42 254,87 2.971,64 1.676,59 92,40 1.768,99 1.202,65 67,98 47 0,17 0,00 0,45 2,30 2,00 2,40 0,30 0,33 0,25 0,58 1.464,40 2.087,54 907,12 4.459,06 2.371,47 313,60 2.685,07 1.773,99 66,07 48 0,17 0,42 1,15 2,30 2,08 3,18 0,30 0,33 0,25 0,58 2.223,66 2.551,05 2.098,60 6.873,31 3.146,76 662,38 3.809,14 3.064,17 80,44 49 0,17 0,00 1,30 1,10 1,00 2,35 0,30 0,33 0,25 0,58 1.288,03 1.759,81 302,57 3.350,41 989,65 413,60 1.403,25 1.947,16 138,76 50 0,17 0,42 0,40 1,05 0,83 1,41 0,30 0,33 0,25 0,58 1.276,74 1.375,89 1.070,39 3.723,02 1.634,31 1.204,63 2.838,94 884,08 31,14 51 0,17 0,42 0,03 1,20 1,17 0,25 0,30 0,33 0,25 0,58 1.162,78 1.131,65 3.092,72 5.387,15 6.926,20 1.271,65 8.197,85 -2.810,70 -34,29 52 0,17 0,00 2,10 1,50 1,50 2,00 0,30 0,33 0,25 0,58 1.450,57 2.075,84 332,59 3.859,00 984,51 470,35 1.454,86 2.404,14 165,25 53 0,17 0,00 1,30 1,25 1,17 1,35 0,30 0,33 0,25 0,58 1.212,56 1.599,84 321,25 3.133,65 953,93 413,60 1.367,53 1.766,12 129,15 54 0,17 0,00 0,60 1,00 1,00 2,55 0,30 0,33 0,25 0,58 1.219,39 1.619,35 347,12 3.185,86 1.109,31 344,05 1.453,36 1.732,50 119,21 55 0,17 0,00 2,45 1,50 1,50 2,10 0,30 0,33 0,25 0,58 1.502,05 2.181,18 354,17 4.037,41 913,78 467,40 1.381,18 2.656,23 192,32 56 0,33 0,00 1,55 1,00 0,75 2,13 0,30 0,33 0,25 0,58 1.271,02 1.732,21 144,22 3.147,45 827,57 285,62 1.113,19 2.034,26 182,74 57 0,17 0,42 0,35 1,00 1,00 1,44 0,30 0,33 0,25 0,58 1.290,50 1.398,52 986,20 3.675,22 3.086,51 362,92 3.449,43 225,79 6,55 58 0,17 0,00 2,25 1,20 1,17 1,15 0,30 0,33 0,25 0,58 1.292,64 1.763,71 453,44 3.509,79 1.886,91 494,03 2.380,94 1.128,85 47,41 59 0,33 0,00 0,35 1,15 0,92 1,30 0,30 0,33 0,25 0,58 1.077,72 1.331,13 415,35 2.824,20 751,98 79,28 831,26 1.992,94 239,75 60 0,17 0,00 0,25 1,05 0,92 2,37 0,30 0,33 0,25 0,58 1.153,59 1.487,48 167,41 2.808,48 678,15 413,60 1.091,75 1.716,73 157,25 Total costs 85.409,72 113.190,55 48.776,54 105.366,01 28.604,50 Total costs determined by TDABC and hospital costing system 34,53% 45,76% 19,72% 247.376,80 78,65% 21,35% 133.970,51 Source: Own elaboration, based on information obtained from medical records Table 5 includes two groups of data in its columns. On the one hand, the time spent using resources for the arthroscopic surgical procedure for each of the activities of (CE) outpatient consultations, (IR) performing imaging tests, (PC) preparing for surgery, (PA) preparing for anaesthesia, (IC) starting surgery, (SR) moving to the recovery room, (HP) transfer to hospitalisation, (TH) transfer to room, (CE) specialist check-up and (FC) billing. On the other hand, it includes the costs (direct, other direct, and indirect costs) determined under TDABC, as well as the costs (direct and indirect) assigned under the system implemented in the hospital. The first column lists the 60 medical records studied. Medical record No. 22 corresponds to the patient whose case study was developed to determine the time spent (Fig. 6) and the estimated costs (Table 4), which is why it stands out from the rest of the data. 5. Discussion of results As mentioned, TDABC does not seek to standardise a patient's medical care times with respect to the different activities they undergo during a surgical procedure. However, obtaining detailed times is an operational efficiency for the hospital because it has a policy in place to record times during operating theatre use (preparation for surgery, administration of anaesthesia, surgery, and transfer to the recovery room). It is observed that determining the time is essential due to the operating theatre rental service provided by the hospital to external doctors who need to use the facilities for other surgical procedures. This facilitated the estimation of costs based on the time spent using the resources. In the 60 arthroscopy procedures collected during one semester of 2022, it was observed that direct costs, including other direct costs such as pharmacy supplies, medication administration, routine pre-surgery laboratory tests, and room and board services consumed by the patient during surgery, represent 54.25%, while indirect costs comprise the remaining 45.76%. On the other hand, when compared to the costs determined under the hospital costing system, it can be seen that direct costs represent 78.65% and indirect costs 21.35%. The estimation of costs under TDABC determined by the time factor is accurate, as it tracks the costs actually incurred by a patient throughout the entire healthcare cycle. So it is understandable that the weight of indirect costs under TDABC is greater. It is worthwhile analysing the costs from the accounting items included in Table 1. It was estimated that surgical procedures for 2022 had consumed $1,339,988.99 in direct costs and $474,605.11 in indirect costs. If these values were divided by two semesters, we obtained that half-year direct costs were $669,994.49 and $237,392.56 indirect costs. A very important data for managers, as it allows us to determine that the 60 arthroscopic surgical procedures have consumed a total of 20% in direct and other direct costs, while spending 48% on indirect costs, with costs determined under TDABC. When the same analysis is performed for costs under the hospital costing system, it is found that this surgical procedure consumed 15.72% of direct costs and only 12.05% of indirect costs. The indirect costs estimated under the hospital costing system are extremely low, considering the investment required by hospital structural costs and their use in arthroscopic surgical procedures. From this analysis, it can be seen that the indirect costs estimated by the hospital costing system are 295.71% lower than indirect costs using TDABC. It was the indirect costs that significantly marked the difference between the costs determined under the two systems, thus reflecting an increase in total cost of over 100% of 33 medical records and between 50% and 100% of 17 medical records. With these results, administrative and medical management should analyse the actual flow of indirect costs of the hospital system for the surgical procedures and health services it provides. In line with the economic reality of businesses, they face prices that are already determined by the market, and it is their responsibility to manage and control indirect costs in order to generate a competitive advantage. According to this costing system, the burden of indirect costs can be quantified more accurately, which influences the profitability that the hospital receives for the services it provides to each patient. In turn, this information should serve as support for analysing the significance of the reimbursement rates agreed with insurers and their compensation for the actual consumption of hospital resources. Erhun et al. (2020) state that, in the TDABC costing method, for designing process maps and determining practical capacity, different techniques must be combined to collect information using prospective or retrospective approaches. In this regard, the techniques used have been explained throughout the implementation described. 6. Conclusions The objective of this research was to develop a pilot study to implement the TDABC costing system in the hospital sector, in a private hospital in Ecuador, through a case study of arthroscopic surgical procedures. To this end, the seven phases of cost determination under TDABC proposed by Kaplan & Porter (2011) were followed. In applying each phase, the prospective and/or retrospective approach used to obtain the necessary information and evidence was identified. The TDABC cost management system has been widely applied in hospitals in countries such as the United States, the United Kingdom, other European countries, and Brazil, a Latin American country that has applied this methodology in surgical procedures. Having developed a case study of cost determination under TDABC in Ecuador, it was observed that the feasibility of implementing this costing system is directly influenced by the company's capacity for organisation, management, planning, and control in the performance of its functions. Developing a case study on the TDABC costing system has been extremely useful, as it was carried out using real company data and following the corresponding process, making it an ideal tool for senior management to analyse the advantages of managing and controlling costs with TDABC. However, senior management will have transparent information that supports decision-making and control of the resources and inputs consumed during a complete patient care cycle. Furthermore, the case study allows for the comparison of TDABC with traditional costing systems, specifically with the accounting system implemented by the hospital, which, by its nature, is based on areas of responsibility. The case study of a TDABC implementation has provided an opportunity to understand the contribution that a modern cost management and control methodology can make to a company, where the use of technology to control the allocation of resources and labour is almost commonplace in all economic activities. Specifically, for healthcare service providers, monitoring the implementation of TDABC and the phases followed for its application is extremely useful because it allows them, on the one hand, to understand that mapping processes is a strategy for continuous improvement, standardisation and process management, and that, for cost calculation purposes, they focus specifically on the amount of resources and the time used for each resource in each activity and, on the other hand, to track the different consumable resources, supplies and medicines (Kaplan & Witkowski, 2014). This paper makes two main contributions. Generally speaking, there is research on cost management in manufacturing industries. However, the development of TDABC for a healthcare company in this article represents an important first contribution, since, on the one hand, this business area requires significant investment in physical infrastructure, modern technological equipment, and highly trained personnel in order to provide services that meet quality standards and remain sustainable in a highly competitive environment. On the other hand, it has been observed that healthcare expenditure as a percentage of GDP tends to be high in different countries. Therefore, this research may be of great interest to accounting academics and cost analysts, as it provides a key guide for implementing TDABC in arthroscopy or in other surgical procedures. The second contribution of this article relates to the total number of 60 medical records analysed, for which costs have been determined individually according to TDABC, with a detailed description of all calculations performed, allowing for traceability and reproduction. The development of the pilot study on cost management under TDABC completely changes the traditional cost study scheme. When beginning the cost determination process, the researcher focused on the cost object, which in the case of this study was ‘arthroscopic surgical procedures’ and proceeded to investigate all the areas the patient went through to undergo this type of procedure, bearing in mind that it is a costing system that does not seek to generalise the bases for cost allocation, but rather treats costs according to the needs of each patient. Therefore, understanding the value chain and the design process maps are two key tools for the success of this methodology. It was found that of the total of 60 medical records, practically 50 of them reflected that determining costs under TDABC generates total costs that are more than 50% higher than the hospital's traditional costing system. It cannot be said that this is negative or positive. However, if the installed capacity of this type of business is taken into account, it could be considered a fairer cost measure for the company to be sustainable over time. Finally, we believe it may be of interest to learn more about the different characteristics of the medical records that show a minimal difference between the costs determined by the two systems, since the operating theatre usage time is clearly identified in the medical records. Therefore, we consider it is important to increase the time control in preoperative and postoperative processes. Contributions The development of this case study contributes to the accounting profession, both in the healthcare sector and in other sectors, by determining the TDABC methodology following the seven-phase process proposed by Kaplan & Porter (2011). Its application not only facilitates practical implementation but also promotes interaction with those responsible for each area, favouring more efficient information management and a more precise distinction between direct and indirect costs, taking time as the sole cost driver. Likewise, this work can be considered a methodological guide to TDABC for the academic teaching of this costing methodology, since the preparation of each table includes detailed information on the procedure followed to determine both direct and indirect costs. Limitations One main limitation of this research is that it is a pilot study designed for a specific area. As such, the results cannot be generalized, even though they are based on the analysis of 60 medical records from various arthroscopy procedures, which contain important information about operating theatre usage time. Although the pilot study showed that TDABC provides a more realistic estimate of hospital resource use per patient when estimating the capacity cost rate of both direct and indirect costs, this result could not be linked to savings, actual reductions, or excessive increases in costs. TDABC has not yet been fully implemented in the hospital. However, information from this pilot study allowed administrative and accounting management to recognise that TDABC tracks resource consumption more accurately as a modern cost management tool. There is concern about the burden it would place on each patient, which could significantly decrease facility use. Possibilities for future research. It would be interesting to evaluate the same type of implementation in arthroscopy procedures in a public hospital, to compare the behaviour of costs determined under TDABC with respect to indirect costs and cost reduction, and to check whether there are differences in relation to a private hospital. Further research on TDABC methodology could be worthwhile in other surgical procedures in public hospitals, given that this study was conducted in a private hospital, and there may be differences to be explored If the hospital considers other income, such as the rental of operating theatre facilities for other surgical specialities, it would be important to develop TDABC to see whether the charge for the use of the facilities is in line with the time taken to consume the resources. Request authorisation from the hospital to develop a case study for the entire surgical procedures area and compare it with the surgical results of arthroscopy. This is because the hospital has a policy of determining the time of use of the operating theatre. This facilitates the tracking of resources consumed by a patient undergoing surgery. List of abbreviations (AA) Activity Analysis (ABC) Activity-Based Costing (ACA) Activity Cost Analysis (AM) medical audit. (C) cafeteria (CE) specialist check-up (CE) outpatient consultation (DPP) depreciation of property, plant, and equipment (DS) medical waste. (ES) sterilisation (FC) billing (FM) pharmacy (GDP) Gross Domestic Product (HP) hospitalization (IC) begin surgery (IE) business informatics (IESS) Ecuadorian Social Security Institute (IR) imaging and radiology (IR) perform imaging tests (ISSFA) Social Security for the Armed Forces (ISSPOL) National Police Social Security Institute (ME) medical equipment maintenance (PA) prepare for anaesthesia (PC) prepare for surgery (QR) operating theatre (RCC) Cost-to-Charge Ratio (RVU) Relative Value Unit (SA) auxiliary services (SR) transfer to recovery room (SS) systems and software (TH) transfer to room (TDABC) Time-Driven Activity-Based Costing Declarations Ethics approval All authors freely and voluntarily decided to participate in the development of the article, therefore, we are responsible for its content. Consent for publication Due to the impact of the journal and the scope of the article, we opted to submit the article to the Review of Accounting Studies . Availability of data and materials Our research is a case study of cost determination under the Time-driven Activity-based Costing system applied to a private university hospital in Ecuador. For its development, we worked with real information from the hospital under a pilot study. It was empirical data research with a mixed approach, since through the theoretical support each of the cost determination phases proposed by Kaplan and Porter (2011) was developed and through the development of semi-structured interviews and direct observation, information from the hospital was collected for cost determination under TDABC. All data collected to support the findings of this research are included in the results through the design of tables (quantitative data) and graphs (for characterizing the study population and process maps). The information collected and presented in the results is the product of fieldwork conducted at the hospital under study. Competing interests The authors declare that they have no conflicts of interest in the development of this research, with respect to any part of this document. We take responsibility for its content. Funding No external sources of funding were required for this research. Acknowledgements Our special thanks go to all the staff at the private university hospital in Loja city, who kindly assisted in obtaining the information on which our findings are based. The findings were shared, subject to the condition that neither the name of the company nor its staff be mentioned in any section of the article. Author contribution The development of this case study contributes to the accounting profession, both in the healthcare sector and in other sectors, by determining the TDABC methodology following the seven-phase process proposed by Kaplan & Porter (2011). Its application not only facilitates practical implementation but also promotes interaction with those responsible for each area, favoring more efficient information management and a more precise delineation between direct and indirect costs, considering time as the only cost driver. Furthermore, this work can be considered a TDABC methodological guide for the academic teaching of this costing methodology, since the value chain and the respective process flowcharts were designed through fieldwork and interaction with each of the officials involved in each area to be intervened, and the information contained in each of the tables includes real data from the hospital according to the procedure followed to determine both direct and indirect costs and thus be able to estimate the total cost of the arthroscopy service provided. References Akhavan, S., Ward, L., & Bozic, K. J. Time-driven activity-based costing more accurately reflects costs in arthroplasty surgery. Clinical Orthopaedics and Related Research. 2016;474(1):8-15. Al Amiri, N., & El Khmidi, S. Implementing time-driven activity-based costing (TDABC) in out-patient nursing department: A case from UAE. Management Science Letters. 2019;9(3):365–380. https://doi.org/10.5267/j.msl.2018.12.012 Alcaraz, A., Rojas-Roque, C., Prina, D., González, J. M., Pichon-Riviere, A., Augustovski, F., & Palacios, A. Improving the monitoring of chronic heart failure in Argentina: is the implantable pulmonary artery pressure with CardioMEMS Heart Failure System cost-effective?. Cost Effectiveness and Resource Allocation. 2021; 19(1): 40. Allin, O., Urman, R. D., Edwards, A. F., Blitz, J. D., Pfeifer, K. J., Feeley, T. W., & Bader, A. M. Using Time-Driven Activity-Based Costing to Demonstrate Value in Perioperative Care: Recommendations and Review from the Society for Perioperative Assessment and Quality Improvement (SPAQI). In Journal of Medical Systems. 2020; 44(1):8-25. Springer. https://doi.org/10.1007/s10916-019-1503-2 Anderson, S. A framework for assessing Costo Management System Changes: The case of Activity based costing implementation at General Motors, 1986 - 1993. Journal of Mangement Acconting. 1995;7: 1–51. Anzai, Y., Heilbrun, M. E., Haas, D., Boi, L., Moshre, K., Minoshima, S., Kaplan, R., & Lee, V. S. Dissecting Costs of CT Study: Application of TDABC (Time-driven Activity-based Costing) in a Tertiary Academic Center. Academic Radiology. 2017;24(2):200–208. https://doi.org/10.1016/j.acra.2016.11.001 Balakrishnan, R., Pugely, A. J., & Shah, A. S. Modeling resource use with time equations: Empirical evidence. Journal of Management Accounting Research. 2017;29(1):1–12. https://doi.org/10.2308/jmar-51444 Becker, C., Leidl, R., Schildmann, E., Hodiamont, F., & Bausewein, C. A pilot study on patient-related costs and factors associated with the cost of specialist palliative care in the hospital: first steps towards a patient classification system in Germany. Cost Effectiveness and Resource Allocation. 2018;16(1):35. Berthelot, S., Breton, M., Robert Guertin, J., Michel Archambault, P., Berger Pelletier, E., Blouin, D., Borgundvaag, B., Duhoux, A., Harvey Labbé, L., Laberge, M., Lachapelle, P., Lapointe-Shaw, L., Layani, G., Lefebvre, G., Mallet, M., Matthews, D., McBrien, K., McLeod, S., Mercier, E., … Vaillancourt, S. A value-based comparison of the management of ambulatory respiratory diseases in walk-in clinics, primary care practices, and emergency departments: Protocol for a multicenter prospective cohort study. JMIR Research Protocols. 2021;10(2):e25619. https://doi.org/10.2196/25619 Blumenthal, K. G., Li, Y., Banerji, A., Yun, B. J., Long, A. A., & Walensky, R. P. (2018). The Cost of Penicillin Allergy Evaluation. Journal of Allergy and Clinical Immunology: In Practice. 2018;6(3): 1019-1027.e2. https://doi.org/10.1016/j.jaip.2017.08.006 Campanale, C., Cinquini, L., & Tenucci, A. Time-Driven Activity-Based Costing to improve transparency and decision making in healthcare A case study. Qualitative Research in Accounting and Management. 2014;11(2):165–186. https://doi.org/10.1108/QRAM-04-2014-0036 Cardinaels, E., & Labro, E. On the determinants of measurement error in time-driven costing. Accounting Review. 2008;83(3):735–756. https://doi.org/10.2308/accr.2008.83.3.735 Choudhery, S., Stellmaker, J. A., Hanson, A. L., Ness, J., Chida, L., Johnson, B., & Conners, A. L. Utilizing Time-Driven Activity-Based Costing to Increase Efficiency in Ultrasound-Guided Breast Biopsy Practice. Journal of the American College of Radiology. 2020;17(1):131–136. https://doi.org/10.1016/j.jacr.2019.06.016 Congreso Nacional del Ecuador: Código de Trabajo. Según registro oficial N°167. https://www.gob.ec/sites/default/files/regulations/2018-10/C%C3%B3digo-del-Trabajo.pdf (2005). Accessed (12 de septiembre de 2014). Cooper, R, y Kaplan, R. S. How cost accounting distorts product costs. Strategic Finance. 1988;69(10):20. Crott, R., Lawson, G., Nollevaux, M. C., Castiaux, A., & Krug, B. Comprehensive cost analysis of sentinel node biopsy in solid head and neck tumors using a time-driven activity-based costing approach. European Archives of Oto-Rhino-Laryngology. 2016;273(9):2621–2628. https://doi.org/10.1007/s00405-016-4089-z Defourny, N., Perrier, L., Borras, J. M., Coffey, M., Corral, J., Hoozée, S., Loon, J. van, Grau, C., & Lievens, Y. National costs and resource requirements of external beam radiotherapy: A time-driven activity-based costing model from the ESTRO-HERO project. Radiotherapy and Oncology. 2019;138:187–194. https://doi.org/10.1016/j.radonc.2019.06.015 Dubron, K., Verschaeve, M., & Roodhooft, F. A Time-Driven Activity-Based Costing approach for identifying variability in costs of childbirth between and within types of delivery. BMC Pregnancy and Childbirth. 2021;21(705):1-9. https://doi.org/10.1186/s12884-021-04134-4 Dutta, S. W., Bauer-Nilsen, K., Sanders, J. C., Trifiletti, D. M., Libby, B., Lash, D. H., Lain, M., Christodoulou, D., Hodge, C., & Showalter, T. N. Time-driven activity-based cost comparison of prostate cancer brachytherapy and intensity-modulated radiation therapy. Brachytherapy. 2018;17(3):556–563. https://doi.org/10.1016/j.brachy.2018.01.013 El Alaoui, S., Hedman-Lagerlöf, E., Ljótsson, B., & Lindefors, N. Does internet-based cognitive behaviour therapy reduce healthcare costs and resource use in treatment of social anxiety disorder? A cost-minimisation analysis conducted alongside a randomised controlled trial. BMJ Open. 2017;7(9):e017053. https://doi.org/10.1136/bmjopen-2017-017053 Erfani, P., Gaga, E., Hakizimana, E., Kayitare, E., Mugunga, J. C., Shyirambere, C., Milner, D. A., Shulman, L. N., Ruhangaza, D., & Fadelu, T. Breast cancer molecular diagnostics in Rwanda: a cost-minimization study of immunohistochemistry versus a novel GeneXpert® mRNA expression assay. Bulletin of the World Health Organization. 2023;101(1):10–19. https://doi.org/10.2471/BLT.22.288800 Erhun, F., Kaplan, R. S., Narayanan, V. G., Brayton, K., Kalani, M., Mazza, M. C., Nguyen, C., Platchek, T., Mistry, B., Mann, R., Kazi, D., Pinnock, C., Schulman, K. A., Xue, J., Ballard, D., Mack, M., James, B., Poulsen, G., Punnen, J., … Milstein, A. Are cost advantages from a modern Indian hospital transferable to the United States?. American Heart Journal. 2020;224:148–155. French, K. E., Guzman, A. B., Rubio, A. C., Frenzel, J. C., & Feeley, T. W. Value based care and bundled payments: Anesthesia care costs for outpatient oncology surgery using time-driven activity-based costing. Healthcare. 2016;4(3):173–180. https://doi.org/10.1016/j.hjdsi.2015.08.007 Ghasemi Rad, M., Wynne, D., Ghasemi, M., Lincoln, C., & Whigham, C. Time-Driven, Activity-Based Costing to Reduce Interventional Radiology Suite Idle Time. Cureus. 2022;14(11):e31862. https://doi.org/10.7759/cureus.31862 Goense, L., van der Sluis, P. C., van der Horst, S., Tagkalos, E., Grimminger, P. P., van Dijk, W., Ruurda, J. P., & van Hillegersberg, R. Cost analysis of robot-assisted versus open transthoracic esophagectomy for resectable esophageal cancer. Results of the ROBOT randomized clinical trial. European Journal of Surgical Oncology. 2023;49(10):e106968. https://doi.org/10.1016/j.ejso.2023.06.020 Goh, O. Q. M., Xin, X., Lim, W. T., Tan, M. W. J., Kan, J. Y. L., Osman, H. B., Kee, W., Teo, T. Y., Tan, W. B., Kang, M. L., & Graves, N. Economic Evaluation of Novel Models of Care for Patients with Acute Medical Problems. JAMA Network Open. 2023;6(9):E2334936. https://doi.org/10.1001/jamanetworkopen.2023.34936 Gosselin, M. The effect of strategy and organizational structure on the adoption and implementation of activity-based costing. Accounting, organizations and society. 1997;22(2):105-122. Hayatghaibi, S. E., Sammer, M. B. K., Varghese, V., Seghers, V. J., & Sher, A. C. Prospective cost implications with a clinical decision support system for pediatric emergency head computed tomography. Pediatric Radiology. 2021;51(13):2561–2567. https://doi.org/10.1007/s00247-021-05159-9/Published Heaton, H. A., Nestler, D. M., Barry, W. J., Helmers, R. A., Sir, M. Y., Goyal, D. G., Haas, D. A., Kaplan, R. S., & Sadosty, A. T. A Time-Driven Activity-Based Costing Analysis of Emergency Department Scribes. Mayo Clinic Proceedings: Innovations, Quality & Outcomes. 2019;3(1):30–34. https://doi.org/10.1016/j.mayocpiqo.2018.11.004 Hernandez, A., Kaplan, R. S., Witkowski, M. L., Forrest Faison, C., & Porter, M. E. Navy medicine introduces value-based health care. Health Affairs. 2019;38(8):1393–1400. https://doi.org/10.1377/hlthaff.2019.00280 Inverso, G., Lappi, M. D., Flath-Sporn, S. J., Heald, R., Kim, D. C., & Meara, J. G. Increasing value in plagiocephaly care: A time-driven activity-based costing pilot study. Annals of Plastic Surgery. 2015;74(6):672–676. https://doi.org/10.1097/SAP.0000000000000002 Kaplan, R. S., & Anderson, S. R. Time-Driven Activity-Based Costing. Harvard Business Review. 2004;82(11):131–138. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=485443 Kaplan, R. S., & Haas, D. Defining, measuring, and improving value in spine care. In Seminars in Spine Surgery. 2018;30(2):80-83. Kaplan, R. & Porter, M. How to solve the cost crisis in health care. Harvard Business Review. 2011;89(9):46–52. Kaplan, R. S., & Witkowski, M. L. Better accounting transforms health care delivery. Accounting Horizons. 2014;28(2):365-383. American Accounting Association. https://doi.org/10.2308/acch-50658 Koolmees, D., Ramkumar, P. N., Hessburg, L., Guo, E., Bernstein, D. N., & Makhni, E. C. Time-Driven Activity-based Costing for Anterior Cruciate Ligament Reconstruction: A Comparison to Traditional Accounting Methods. Arthroscopy, Sports Medicine, and Rehabilitation. 2021;3(1):e39–e45. https://doi.org/10.1016/j.asmr.2020.08.006 Krumwiede, K. The Implementation Stages of Activity-Based Costing and the Impact of Cantextual and Organizational Factors. Journal of Management Accounting Research. 1998;10(1):240–277. Malmi, T. Towards explaining activity-based costing failure: accounting and control in a decentralized organization. Management Accounting Research. 1997;8:459-480. McBain, R. K., Jerome, G., Warsh, J., Browning, M., Mistry, B., Faure, P. A. I., Pierre, C., Fang, A. P., Mugunga, J. C., Rhatigan, J., Leandre, F., & Kaplan, R. Rethinking the cost of healthcare in low-resource settings: The value of time-driven activity-based costing. BMJ Global Health. 2016;1(3):e000134. https://doi.org/10.1136/bmjgh-2016-000134 McCreary, D. L., White, M., Vang, S., Plowman, B., & Cunningham, B. P. Time-driven activity-based costing in fracture care: Is this a more accurate way to prepare for alternative payment models? Journal of Orthopaedic Trauma. 2018;32(7):344–348. https://doi.org/10.1097/BOT.0000000000001185 McGowan, A. S., & Klammer, T. P. Satisfaction with activity-based cost management implementation. Journal of management accounting research. 1997;9:217. McLaughlin, N., Upadhyaya, P., Buxey, F., & Martin, N. A. Value-based neurosurgery: Measuring and reducing the cost of microvascular decompression surgery. Journal of Neurosurgery. 2014;121(3):700–708. https://doi.org/10.3171/2014.5.JNS131996 Mohammadpour, F., Basakha, M., Kamal, S. H. M., & Azari, N. Costing the outpatient rehabilitation services: time-driven activity-based costing approach. Cost Effectiveness and Resource Allocation. 2022;20(1):31. Monazzam, A., & Crawford, J. The role of enterprise risk management in enabling organisational resilience: a case study of the Swedish mining industry. Journal of Management Control. 2024;35(1):59–108. https://doi.org/10.1007/s00187-024-00370-9 Moscoso, J. N., & Palacios, L. Abductive reasoning: A contribution to knowledge creation in education. Cadernos de Pesquisa. 2019;49(171):308–329. https://doi.org/10.1590/198053145255 Nabelsi, V., & Plouffe, V. Breast cancer treatment pathway improvement using time-driven activity-based costing. International Journal of Health Planning and Management. 2019;34(4):e1736–e1746. https://doi.org/10.1002/hpm.2887 Oklu, R., Haas, D., Kaplan, R. S., Brinegar, K. N., Bassoff, N., Harvey, H. B., Brink, J. A., & Prabhakar, A. M. Time-driven activity-based costing in IR. Journal of Vascular and Interventional Radiology. 2015;26(12):1827–1831. https://doi.org/10.1016/j.jvir.2015.07.007 Organización Mundial de la salud [PAHO/OPS]: Salud en las Américas. (19 septiembre, 2024). https://hia.paho.org/es/perfiles-de-pais/ecuador Rezaei, S., & Babaei, M. A systematic literature review on direct and indirect costs of triple-negative breast cancer. Cost Effectiveness and Resource Allocation. 2023;21(1):92. Sáez-Bondía, M. J., & Cortés Gracia, A. L. Action research in education: a set of case studies?. Educational Action Research. 2022;30(5):850–864. https://doi.org/10.1080/09650792.2020.1866631 Shields, M. D. An empirical analysis of firms’ implementation experiences with Activity-Based Costing. Journal of Management Accounting Review. 1995;7:149-165. https://www.researchgate.net/publication/245322459 Sisaye, S. Process Innovation and Adaptive Institutional Change Strategies in Management Control Systems: Activity Based Costing as administrative innovation. Advances in Management Accounting. 2003;11:251-285. https://doi.org/10.1016/S1474-7871(02)11011-2 Thaker, N. G., Ali, T. N., Porter, M. E., Feeley, T. W., Kaplan, R. S., & Frank, S. J. Communicating value in health care using radar charts: A case study of prostate cancer. Journal of Oncology Practice. 2016;12(9):813–820. https://doi.org/10.1200/JOP.2016.011320 Thaker, N. G., Kudchadker, R. J., Incalcaterra, J. R., Bathala, T. K., Kaplan, R. S., Agarwal, A., Kuban, D. A., Frank, B. D., Das, P., Feeley, T. W., & Frank, S. J. Improving efficiency and reducing costs of MRI-Guided prostate brachytherapy using Time-Driven Activity-Based costing. Brachytherapy. 2022;21(1):49–54. https://doi.org/10.1016/j.brachy.2021.05.012 Valdivieso, H., Agreda, V: Cuentas Satélite de Salud. Boletín Técnico N°-01-2023-CSS. Razón Pública. (2023, noviembre). https://www.ecuadorencifras.gob.ec/documentos/web-inec/Estadisticas_Economicas/Cuentas_Satelite/Salud/2022/3_Boletin_tecnico_CSS_2022.pdf Yin, R. Investigación sobre estudio de casos. Diseño y métodos. Applied social research methods series. 1994;5(2):1-35. Additional Declarations The authors declare potential competing interests as follows: All findings included in the article are the work of the researchers; therefore, readers are asked to cite these results correctly when referring to them. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7852347","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Case Report","associatedPublications":[],"authors":[{"id":529086992,"identity":"d3672fa7-0300-4264-af73-2202b89a2af7","order_by":0,"name":"Maria Fernanda Yaguache Aguilar","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIiWNgGAWjYDAC5gMQ2gDCsgDiBAJa2BJgWoCsAwwSJGnhMSBOi24bj+HHr2128ubsPd+kP+6QYOBnzzFg+FCDW4vZMR5jadm2ZMOdPWe3SRw8I8Eg2fPGgHHGMTxa7vcYSEu2MScY3MgFammTYDC4kWPAzNuA35bfkm31CQb33zwDa7EHafmLX4uZ5Me2w0BbeNggtkgAtTDi1cJWZs1w7rjhhjNpxhZnz0jwSJx5VnCwB59fjjFvvvmjrFre4Pjhhzcqd9jI8bcnb3zwA0+IMTBwGDDzwNhA94DZB/BpYGBgf8D4A0nLKBgFo2AUjAIMAAD561Nz+dYFSgAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-8005-3369","institution":"Universidad Tecnica Particular de Loja","correspondingAuthor":true,"prefix":"","firstName":"Maria","middleName":"Fernanda Yaguache","lastName":"Aguilar","suffix":""},{"id":529087186,"identity":"1e5176e1-5f3f-40ce-bbc0-225d2f982cb4","order_by":1,"name":"Angels Ninerola Monserrat","email":"","orcid":"https://orcid.org/0000-0001-5598-1203","institution":"Universitat Rovira i Virgili","correspondingAuthor":false,"prefix":"","firstName":"Angels","middleName":"Ninerola","lastName":"Monserrat","suffix":""},{"id":529087187,"identity":"35aa316b-7ebb-4bf7-a21a-b295d190dcea","order_by":2,"name":"Maria Victoria Sanchez Rebull","email":"","orcid":"https://orcid.org/0000-0002-9920-4104","institution":"Universitat Rovira i Virgili","correspondingAuthor":false,"prefix":"","firstName":"Maria","middleName":"Victoria Sanchez","lastName":"Rebull","suffix":""}],"badges":[],"createdAt":"2025-10-13 21:19:36","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7852347/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7852347/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":93571942,"identity":"c3bb7324-ed8d-4c48-92dd-1270cd457ebb","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":841882,"visible":true,"origin":"","legend":"","description":"","filename":"TranslatedArtTDABC102025.docx","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/b50336cf081cb633de64cfc5.docx"},{"id":93571930,"identity":"b77042a6-0000-4987-b991-7cffd6471028","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":342,"visible":true,"origin":"","legend":"","description":"","filename":"rs7852347.json","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/58953795285d57e5e4559bf8.json"},{"id":93574083,"identity":"cfae9d3c-5768-4e9e-8f03-b5311c90d738","added_by":"auto","created_at":"2025-10-15 09:14:31","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":333929,"visible":true,"origin":"","legend":"","description":"","filename":"rs78523470enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/991e0545a4ad7d023eda2253.xml"},{"id":93574087,"identity":"695152d2-5b7b-4136-b460-98455fdaa098","added_by":"auto","created_at":"2025-10-15 09:14:31","extension":"png","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":13821,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/f65b0add8270f90822f95a58.png"},{"id":93571935,"identity":"f3222a80-ec82-479b-974c-5fb8392bb5b8","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4016,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/6bf46ba398a6600b856b9712.png"},{"id":93571933,"identity":"26b19a33-9228-4a89-bd8d-188834613e06","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4557,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/5a137f21fa601203022878ea.png"},{"id":93575142,"identity":"c88d2bc8-a59d-49ca-a536-df1e47d34539","added_by":"auto","created_at":"2025-10-15 09:22:31","extension":"png","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":54754,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/b1ea984f66b3d6e3145fadac.png"},{"id":93575143,"identity":"a45aad33-3275-489f-b278-5d8a289c619f","added_by":"auto","created_at":"2025-10-15 09:22:31","extension":"png","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":31784,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/76b00e6aa7a05a459ded0e28.png"},{"id":93571938,"identity":"2804a481-31d0-43ca-aa2d-f2e453e5b3c3","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":20567,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/2e27f279330742ec5b01f524.png"},{"id":93571943,"identity":"0a6d9da1-3fbf-49ea-b00e-1dac6b5f705b","added_by":"auto","created_at":"2025-10-15 09:06:32","extension":"xml","order_by":15,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":332267,"visible":true,"origin":"","legend":"","description":"","filename":"rs78523470structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/893883762de59f23ec0eb8c2.xml"},{"id":93574088,"identity":"335c14af-0ec4-4981-8b31-ed91126932db","added_by":"auto","created_at":"2025-10-15 09:14:32","extension":"html","order_by":16,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":336880,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/85d5981e46f5cdb5423dab2a.html"},{"id":93571928,"identity":"e1f8832e-7eec-4132-b65f-05bb0485786a","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":47373,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDistribution of patients for arthroscopic procedures.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/501ba30844b8a8b0db9966cf.png"},{"id":93571929,"identity":"6e8e9272-422b-49d6-85f2-ea4cd09951a3","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":10453,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eType of health insurance for arthroscopy patients\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/7fe45b702dee3614f40046b4.png"},{"id":93571932,"identity":"ac962159-0d5c-4dad-8b11-204d7ae5d587","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":9449,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHealth services provided through the public network\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/edbd7b40f06752851c104e4b.png"},{"id":93571941,"identity":"074d5d29-ab89-48d7-a5e6-bccdecebca09","added_by":"auto","created_at":"2025-10-15 09:06:31","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":146085,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDesign of the value chain for the arthroscopy surgical procedure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/cf7a7eb02998529c6f2126bd.png"},{"id":93574085,"identity":"9a07aa2e-17b2-4431-8867-32450fb00989","added_by":"auto","created_at":"2025-10-15 09:14:31","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":80251,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eProcess map of the arthroscopy surgical procedure.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/95b470e6effea71c2fea9f7f.png"},{"id":93574082,"identity":"d4ac6297-bad3-492a-96a1-4fe93c1a0c83","added_by":"auto","created_at":"2025-10-15 09:14:31","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":56834,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eProcess map with estimated times for arthroscopic surgery\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/79464fba473e5af0b8e2f19b.png"},{"id":93576301,"identity":"2e984bbb-bac2-427e-a28f-58bc1f6578e4","added_by":"auto","created_at":"2025-10-15 09:30:33","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2970608,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7852347/v1/d478c6fc-b1d3-4073-8e09-dad2190da23d.pdf"}],"financialInterests":"The authors declare potential competing interests as follows: All findings included in the article are the work of the researchers; therefore, readers are asked to cite these results correctly when referring to them.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eImplementation and results of TDABC in arthroscopic surgery: case study in an Ecuadorian hospital\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"1.\tIntroduction ","content":"\u003cp\u003ePublic health expenditure in relation to gross domestic product (GDP) has grown at a rapid pace, especially in countries such as the United States, where public health expenditure in 2021 represented 18% of GDP in 2016 (Kaplan and Haas, 2018) and is estimated to increase to 20% of GDP by 2025 (Koolmees et al., 2021; McCreary et al., 2018). In the same year, public health expenditure in Ecuador represented 5.28% of GDP and 14.76% of total public expenditure. In Ecuador, the state\u0026apos;s capacity to guarantee the health of its inhabitants is quite deficient, and for the most part, health services are paid for out of pocket by the majority of citizens. This data is particularly worrying considering that the poorest countries account for more than 80% of the global burden of infectious diseases, with 20% lower investment in global public health expenditure (McBain et al., 2016).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe severe economic and financial crisis experienced a few years ago led to budgetary restrictions in the health sector and pressure to control costs. As a result, in Europe, for example, the health financing system, which was based on the needs of the population, had to be replaced by one based on the value of the services provided (Campanale et al., 2014).\u003c/p\u003e\n\u003cp\u003eWhen available resources are limited, healthcare providers must know and understand the value of medical care. As healthcare costs have a significant impact on GDP, reducing these costs has greater potential to improve value, understood as the relationship between the benefits perceived by the patient and the costs of receiving that service (Inverso et al., 2015). Policymakers and healthcare providers often talk about cost reduction, but they tend to link it exclusively to process improvements or outcomes, which makes it difficult to implement systematic and sustainable cost reductions (Kaplan \u0026amp; Porter, 2011).\u003c/p\u003e\n\u003cp\u003eTraditional cost accounting systems efficiently measure costs at the operational department and overhead levels. However, they present difficulties in estimating and allocating costs to cost objects (McLaughlin et al., 2014). Nevertheless, to obtain the actual costs of providing a healthcare service, a transition from a volume-based approach to a value-based approach is required, which entails a much more detailed understanding of actual costs (Thaker et al., 2016).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCosts must include all resources used during a complete patient care cycle: clinical and administrative staff, medicines, supplies, infrastructure, and equipment. Therefore, managing costs means improving efficiency, reducing waste of resources, maximising value, improving revenue, and making sound strategic decisions (Choudhery et al., 2020).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHistorically, top-down accounting methods such as the Cost-to-Charge Ratio (CCR) and Relative Value Unit (RVU) methods were used in healthcare, which, according to some authors, generate inaccurate costs for healthcare services (Kaplan \u0026amp; Haas, 2018). These methods are still in use (Kaplan \u0026amp; Witkowski, 2014) but are weak when it comes to calculating the real cost of healthcare services for decision-making purposes (Koolmees et al., 2021).\u003c/p\u003e\n\u003cp\u003eProper management of all costs is essential for evaluating strategic cost savings (Allin et al., 2020; Dubron et al., 2021). However, due to the complexity of analysing indirect costs, some authors exclude these costs from their studies and only address direct costs (Blumenthal et al., 2018; Cardinaels \u0026amp; Labro, 2008). For their part, Al Amiri \u0026amp; El Khmidi (2019); Blumenthal et al. (2018), and Erfani et al. (2023) agreed that indirect costs should be calculated and distributed by the number of patients treated, i.e., under the traditional system.\u003c/p\u003e\n\u003cp\u003eDefourny et al. (2019) state that TDABC is a cost management tool designed to allocate indirect costs among products, such as support costs for direct costs, provided that resource consumption is not determined by production volume. It does so through the activities performed, taking time as the sole driver of costs (Berthelot et al., 2021; Ghasemi Rad et al., 2022; Goh et al., 2023; Kaplan \u0026amp; Anderson, 2004).\u003c/p\u003e\n\u003cp\u003eTo implement TDABC efficiently, the interaction of three factors must be considered: a) user acceptance, b) the availability of the right information at the right time, and c) the willingness of senior management to implement the tool (Nabelsi \u0026amp; Plouffe, 2019).\u003c/p\u003e\n\u003cp\u003eBased on these premises, this research is aimed primarily at the implementation and efficiency of TDABC in the hospital sector, including direct and indirect costs. To this end, a case study of arthroscopic surgical procedures at a private university hospital in Ecuador will be used as evidence. The determination of costs under TDABC significantly contributes to the field of management accounting.\u003c/p\u003e\n\u003cp\u003eThe rest of the article is organised as follows. Section 2 reviews the scientific literature on the TDABC system and its relevance to the healthcare sector. Section 3 explains the research method used. Section 4 presents the case study on the application of TDABC. Section 5 presents the discussion of the results and limitations. Section 6 presents the conclusions, main contributions, and some possibilities for future research. Section 7, the list of abbreviations, and finally section 8, the statements comprising: ethical approval, consent for publication, data availability, conflicts of interest, funding, author contributions, and acknowledgements.\u003c/p\u003e"},{"header":"2.\tLiterature review","content":"\u003cp\u003e2.1.\u0026nbsp;TDABC system\u003c/p\u003e\n\u003cp\u003eManagement accounting provides management tools that influence the efficient use of resources to maximise the value of the company, in planning, control, and continuous improvement (Shields, 1995). In other words, effective and consistent organisational management must be sought, installed capacity must be analysed, and strategies must be defined to determine the cost and level of underutilised capacity. This process is known as activity management, which provides reliable information for value chain analysis and involves activity analysis (AA), activity cost analysis (ACA), and activity-based costing (ABC) (Gosselin, 1997).\u003c/p\u003e\n\u003cp\u003eThe Activity Based Costing (ABC) system emerged in the 1980s and has undergone significant development since its beginnings, both at an industrial level and in terms of scientific contribution (Anderson, 1995; Cooper \u0026amp; Kaplan, 1988; Krumwiede, 1998). Implementing the ABC system improved cost management and decision-making in organisations (Malmi, 1997). However, it posed a challenge due to the demand for interest, involvement, and participation from numerous stakeholders, employees, accounting management, and senior management (McGowan \u0026amp; Klammer, 1997). ABC was costly to maintain and update when faced with a new production line or the company\u0026apos;s entry into new markets, which was probably the main factor that led to numerous criticisms of the system (Sisaye, 2003).\u003c/p\u003e\n\u003cp\u003eGiven the perceived weaknesses of ABC, its mentors became interested in developing a new approach for more accurate cost estimation that would be simpler and easier to maintain (Kaplan \u0026amp; Anderson, 2004). They introduced time as the only variable and proposed estimating costs using time equations. This was a modern costing system that estimated costs in an upward manner due to its ability to capture operational processes in detail, easily and quickly, as it uses duration drivers. These authors called this new system Time-Driven Activity-Based Costing (TDABC). Becker et al. (2018) argue that accuracy in cost calculation is achieved through the availability of records on resource use, the estimation of a patient\u0026apos;s resource consumption time, and the estimation of the time spent on activities by the healthcare professionals involved from the beginning to the end of each episode of patient care.\u003c/p\u003e\n\u003cp\u003eBased on existing literature, it is argued that TDABC is a modern and innovative cost management tool that has been widely applied in developed countries to help healthcare organisations in identifying unused capacity and enabling them to reduce service costs (Mohammadpour et al., 2022). While Monazzam \u0026amp; Crawford (2024) argue that organisational structure determines effectiveness in establishing routines, developing activities, managing resources, and building capacity to effectively integrate, build, or restructure strategic planning, organisational efficiency, and cost management and control.\u003c/p\u003e\n\u003cp\u003e2.2.\u0026nbsp;TDABC costing in the healthcare sector\u003c/p\u003e\n\u003cp\u003eYears later, Kaplan \u0026amp; Porter (2011) designed a seven-phase proposal for determining costs with TDABC for the healthcare sector. The TDABC system is suitable for this sector as it is geared towards the best use of resource capacity, allowing to observe the extent to which costs are used in the activities that make up the patient care cycle and compare this with the proportion of unused capacity in terms of labour, technical resources, equipment, supplies and other resources consumed by a patient (Al Amiri \u0026amp; El Khmidi, 2019). This system uses a micro-costing approach to estimate direct medical costs (Alcaraz et al., 2021).\u003c/p\u003e\n\u003cp\u003eTDABC provides a different perspective to traditional cost data processing systems, as it allows for a more effective redesign of patient care, using a bottom-up costing approach. In other words, it identifies the costs for each step of the process, which is known as process mapping. It establishes the time required to consume resources, with an emphasis on determining practical capacity, which can range from 80% to 85% of actual time spent by staff on providing patient care. It also calculates the cost of the space and equipment used, identifies the costs related to the medical procedure, and proceeds to calculate the costs (Anzai et al., 2017; Crott et al., 2016).\u003c/p\u003e\n\u003cp\u003eIn this same direction, Oklu et al. (2015) add four fundamental principles for measuring healthcare costs. First, there are non-reimbursable resources that nevertheless incur additional costs, such as educational talks, sending information by email to patients or their families, and even entering data into medical records. Secondly, the patient\u0026apos;s medical condition should be the unit of analysis for measuring costs. Thirdly, costs should be measured throughout the entire patient care cycle, from initial diagnosis, education, and counselling, including clinical interventions and ongoing care management. Finally, when a resource is not being used, it should not be charged to the cost of the service, as it would be treated as an unused capacity cost. These principles lead to a better understanding and documentation of consumable clinical, administrative, and economic resources, which facilitate the calculation of capacity costs per health service.\u003c/p\u003e\n\u003cp\u003eRegarding the study of non-utilised capacity, Blumenthal et al. (2018) analyse the practical capacity rate. First, they estimate that downtime can be as high as 5% for administrative and general services staff and up to 10% for doctors and specialists. Of the seven days in a week, six are working days, and of the 365 days in a year, only 224 are working days. The difference is considered to be public holidays, vacations, sabbatical leave, study, and research. Secondly, they focus on medical consumables, which are determined according to their acquisition cost, except for the costs of medicines that are charged directly to the patient; and then they focus on the cost of using physical spaces, taking into account the average time of use of these spaces.\u003c/p\u003e\n\u003cp\u003eIn turn, Choudhery et al. (2020) estimate that the systematic approach to cost determination under TDABC simplifies the process in relation to the ABC system, as it allows for more accurate data collection and analysis, taking into account the interdisciplinarity of key actors to capture the contribution of each role (medical specialist, nurse, financier, etc.). Studying the entire patient care cycle makes it possible to reduce waste and develop strategies to save time and money and improve efficiency. In short, the TDABC costing system facilitates decision-making regarding unused capacity (Kaplan \u0026amp; Anderson, 2004).\u003c/p\u003e\n\u003cp\u003eTDABC uses temporal equations as an algebraic representation of a process diagram for a patient care cycle. The diagram comprises a flow of steps that allows detailed observation of resource consumption for each activity (Balakrishnan et al., 2017). However, as the organisational units of clinics and hospitals are structured according to medical and surgical specialities rather than the patient\u0026apos;s medical condition, care is divided into multiple functional units, each of which performs only one component of the total care process (Balakrishnan et al., 2017). This division makes it difficult to identify the actual consumption of resources and the activities used by the patient throughout their healthcare cycle.\u003c/p\u003e\n\u003cp\u003eCost determination under TDABC begins with the phase of understanding the complete patient care cycle, followed by the phases of value chain design and process mapping, followed by the time estimation phase, for the calculation of costs through the design of time equations. As the cost determination phases under TDABC are developed, specific information is collected using prospective or retrospective techniques. An important retrospective technique is the analysis of the company\u0026apos;s annual financial information, as the relevant costs are obtained from the hospital\u0026apos;s finance department. On the other hand, the most commonly used prospective techniques are direct observation and semi-structured interviews, which allow information to be collected from the staff dedicated to each activity and on the use of spaces and equipment (Dubron et al., 2021). TDABC can be implemented relatively quickly since, initially, only two parameters need to be estimated: a) the unit cost of capacity supply and b) the time required to perform an activity. The great advance of TDABC lies in the use of multiple electronic time controllers, which companies can easily and quickly capture the time consumption in their operational processes (Akhavan et al., 2016).\u003c/p\u003e\n\u003cp\u003eThe implementation of TDABC is usually carried out with three objectives in mind: a) organisational, so that senior management can improve the overall visibility of the organisation, for example, regarding the high costs of administrative processes and redundant and unnecessary clinical processes, in order to address cost reduction; b) individual behaviour, to motivate professionals from different areas to work together to achieve integration between departments and specialities, in order to obtain qualified human resources, the allocation of functions, a higher level of experience and training for staff, etc.; and, finally c) cost management, to achieve better financial management and sustainability in accounting information systems (Kaplan \u0026amp; Porter, 2011).\u003c/p\u003e\n\u003cp\u003eIn recent years, TDABC has been considered an accurate methodology for cost management and control (McLaughlin et al., 2014). When implementing it, it is important to adopt the seven phases of TDABC using a prospective and retrospective approach. A continuous implementation plan should be designed, where effectiveness in business evaluation is the result of employee involvement, under an interdisciplinary team, always with the participation of the highest authority, and guided by a TDABC research team (Anzai et al., 2017; Erhun et al., 2020). Ghasemi Rad et al. (2022) estimate that the potential of TDABC can only be achieved over time and with sufficient personnel committed to change.\u003c/p\u003e\n\u003cp\u003eHernandez et al. (2019) consider TDABC to be a tool for calculating the costs of actual clinical and administrative processes used in the complete patient care cycle, involving teamwork between doctors, financiers, and the TDABC cost manager. When calculating costs, it is essential to make a clear distinction between direct and indirect costs (Thaker et al., 2022; Heaton et al., 2019). Calculating direct and indirect costs is essential for improving efficiency and maximising value in healthcare services (Choudhery et al., 2020). TDABC allows for a detailed outline of time, supplies, and the full flow of costs (Ghasemi Rad et al., 2022). Full flow of costs refers to the allocation of direct costs (personnel, equipment, and supplies, among others) and indirect costs (cleaning and use of different spaces) that are tracked throughout the patient\u0026apos;s entire healthcare cycle. However, it is important to mention that in a study conducted on the medical costs of breast cancer, 13 of these evaluated only direct costs, and only two articles evaluated both direct and indirect costs, noting that indirect costs represented a high burden for these patients and were likely underestimated (Rezaei \u0026amp; Babaei, 2023).\u003c/p\u003e\n\u003cp\u003eThe estimation of indirect costs has generated a wide variety of criteria from different authors. For example, Goh et al. (2023) consider that TDABC allows for more accurate calculation of direct and indirect costs, as it focuses on the time staff spend providing a service and the time equipment is used. On the other hand, Allin et al. (2020) indicate that total cost accounting is essential for evaluating strategic cost savings and consider that indirect costs are related to the operational efficiency developed by the company to generate revenue. In contrast, authors such as Erhun et al. (2020) did not examine indirect costs as they consider them to be determined by externally imposed factors and, instead, consider all costs that can be traced during a healthcare episode to be direct costs. Other authors have also excluded them in TDABC implementations due to the complexity of analysing indirect costs, so they have only designed case studies for direct costs (Cardinaels \u0026amp; Labro, 2008; Dutta et al., 2018; El Alaoui et al., 2017; French et al., 2016; Goense et al., 2023)\u003c/p\u003e\n\u003cp\u003eSome authors who decided to address indirect costs suggest that their distribution should be based on the volume of patients treated during the study period (Blumenthal et al., 2018; Erfani et al., 2023). However, Al Amiri \u0026amp; El Khmidi (2019) consider that estimating indirect costs based on the volume of patients treated replaces the determination of costs under the TDABC system with a traditional distribution system. On the other hand, Berthelot et al. (2021) justify that indirect costs represent a loss of revenue since they are resources consumed by the patient and must be recovered by the economic effort they represent for the service provider. They also demand high maintenance, repair, renovation, and continuous improvement costs due to technological advances. For their part, Ghasemi Rad et al. (2022) associate the consumption of indirect costs with the operational capacity of the company to generate revenue.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSignificant savings have been observed with the determination of costs under TDABC. Choudhery et al. (2020) observed a decrease of between 45% and 51% in procedure costs. Ghasemi Rad et al. (2022) identified that medical costs per patient fell to around \u0026pound;18.00 when implementing the practical capacity rate, and overall, indirect costs have decreased by up to 35% (Goh et al., 2023).\u003c/p\u003e"},{"header":"3.\tResearch method","content":"\u003cp\u003eThe purpose of the research is addressed through a qualitative methodology, utilizing a case study approach to implement Time-Driven Activity-Based Costing in the healthcare sector. A case study offers a more nuanced perspective on complex organisational environments and provides a comprehensive understanding of management accounting practices. For Yin (1994), a case study is an exhaustive investigation, where factors of perspective, complexity, and uniqueness converge. By its nature, it can include various methods to generate evidence or proof regarding its findings (S\u0026aacute;ez-Bond\u0026iacute;a \u0026amp; Cort\u0026eacute;s-Gracia, 2022).\u003c/p\u003e\n\u003cp\u003eThis costing methodology had previously been used in studies on TDABC implementations. For example, Anzai et al. (2017) determined costs under TDABC at an academic trauma medical centre in Boston. Dubron et al. (2021) conducted a prospective study at a maternity ward in Belgium for 23 patients in labour. Erhun et al. (2020) conducted research in two hospitals in the United States and one in India, on coronary revascularisation surgeries to reduce the effects of inter-hospital variation in quality, governance, and burden on the cost structure, among other high-impact case studies.\u003c/p\u003e\n\u003cp\u003e3.1. \u003cem\u003eCase selection\u0026nbsp;\u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn line with the research purpose, a private Ecuadorian university hospital was selected because it represents a significant setting for applying the TDABC costing method, which is well-documented in healthcare. The choice reflects both the prevalence of TDABC studies in similar environments and the relevance to the national context.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eEcuador, located in South America with a population of 16.9 million, allocates 61.44% of its General State Budget for public health expenditure and 38.56% to private health (Valdivieso \u0026amp; Agreda, 2023). However, national public sector health expenditure as a percentage of GDP represents only 4.9%, while private sector expenditure represents 1.5%. As of 2022, the population is served by 2,745 public health care centres and 475 private health care centres (Valdivieso \u0026amp; Agreda, 2023).\u003c/p\u003e\n\u003cp\u003eThe hospital under study was established in 1967 in the city of Cuenca and currently has state-of-the-art infrastructure. It is a large company that offers a wide range of medical specialties with highly trained staff. It has ISO 9001 Bureau Veritas Quality Management Certification. It is classified as a hospital equipped to provide tertiary healthcare services. In 2020, it decided to expand to the city of Loja under the same standards of quality in its services and hospital management. By 2022, t hospital extension located in the city of Loja had more than 100 employees working in different areas due to the wide range of services it offers. It has agreements with public and private health insurance companies.\u003c/p\u003e\n\u003cp\u003eThe hospital is highly predisposed to developing research projects and hosted a visit by specialists from the German Society of Medicine, Prevention, Rehabilitation, Internal Medicine, and Surgery. It also promotes academic development in real-world settings, both at the hospital in the city of Cuenca and in Loja. For this reason, a proposal for cost determination under TDABC was presented to the medical management, with the development of a pilot study on a surgical procedure at the hospital located in the city of Loja. They showed interest in learning about a modern cost management tool and gave their authorisation to begin the development of the case study. \u0026nbsp;Authorisation was also granted to collect information from the hospital regarding arthroscopic surgical procedures, with the approval of their medical and administrative management, \u0026nbsp;and the power to the administrative director to provide the requested information from the areas under her responsibility. It was agreed with the administrative director that any requests for information for the year 2022 would be sent by email to the relevant person, with a copy to the director. This designation of the area to be\u0026nbsp;studied corresponds to Phase 1 of Medical Condition Selection, the first of the seven phases of TDABC implementation in the healthcare sector proposed by Kaplan \u0026amp; Porter (2011).\u003c/p\u003e\n\u003cp\u003e3.2. \u003cem\u003eData collection\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eIn the process of collecting empirical data, prospective techniques were used, such as semi-structured interviews, direct observation, and visits to the centre, as well as retrospective techniques such as reviewing secondary documentation and the medical records of patients who underwent surgical procedures in this specialty. Semi-structured interviews were conducted with the medical director and hospital staff to learn about the study area, and\u0026nbsp;visits were made to each of the study areas to identify activities through direct observation. Moreover, documentary information was requested, such as the Comprehensive Income Statement for 2022 and medical records from the second half of 2022.\u003c/p\u003e\n\u003cp\u003eFrom January to June 2023, general information was obtained from the hospital about its functional organisational structure. This included medical specialties, the activities and tasks carried out in each study area, through semi-structured interviews with staff from the finance department, the administrative director, heads of technology, IT management, reception, nursing station, pharmacy, and medical laboratory departments.\u003c/p\u003e\n\u003cp\u003eAfterwards, from July to September 2023, various semi-structured interviews were conducted with staff from different areas involved in the surgical procedure under study. To gather information from different areas, a member of the hospital staff was appointed to effectively and promptly direct interviews to the corresponding managers. This person also assisted in facilitating communication between the relevant departments. Between October and December 2023, information from patients\u0026apos; medical records was accessed. For this purpose, a physical area within the hospital was assigned for confidentiality reasons, as patient information could not be removed from the premises. The direct review of all 60 medical records of patients admitted for arthroscopic surgery during the second half of 2022 made it possible to organize a database with efficient information for calculating costs under TDABC.\u003c/p\u003e\n\u003cp\u003eIn the first half of 2024, fieldwork continued at the hospital facilities with the support of the assigned staff. Direct observation techniques were used to determine the start and end of the medical care cycle for an arthroscopy patient, visiting each of the areas that a patient diagnosed with this type of surgery goes through. With the information gathered, a diagram of the areas was designed. The different activities carried out were then investigated with those responsible. This information facilitated the understanding and design of the two subsequent phases of TDABC implementation: Phase 2, in which the value chain of the health service was defined, and Phase 3, in which the process maps for each activity of the health service were designed.\u003c/p\u003e\n\u003cp\u003eInformation on patients undergoing arthroscopic surgery was compiled in an Excel database, which contained general information on the patient from their admission to the operating theatre until their transfer to the post-operative ward. The information collected was used to complete the data gathered for the design of phases 2 and 3 mentioned above.\u003c/p\u003e\n\u003cp\u003eIn the third quarter of 2024, secondary documentation was obtained in the form of a physical copy of the articles of the constitution and financial and economic information for the period under study. It was received by email in Excel format with the approval of the administrative director. This information was used to begin analysing the quantitative data for determining costs under the TDABC system.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e3.3. Data analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe research design was mixed-method, and the method applied was abductive. Mixed-method research comprises a qualitative part that is directly related to all the information collected from the hospital in order to understand its structure, form of organisation, and the development of activities in the surgical procedure under study, and a quantitative part or approach that was applied to determine costs under TDABC for the arthroscopy surgical procedure. For its part, the abductive method seeks logical and epistemological reflection with a dual ontological and semantic dimension. Under this method, the researcher ultimately infers reality, which stems from their logical knowledge constructed within a sustained and validated theoretical framework (Moscoso \u0026amp; Palacios, 2019). In other words, based on the reality of empirical work and the existing theoretical support for TDABC, the observational field is limited to the existing theory, and then the data required to be verified during the practical application of TDABC is generated to fit the economic reality of the arthroscopy surgical procedure for the hospital under study.\u003c/p\u003e\n\u003cp\u003eWith all the information gathered, Kaplan \u0026amp; Porter\u0026apos;s (2011) seven-phase proposal was applied to determine costs under TDABC in the healthcare sector. The phases (P) are:\u003c/p\u003e\n\u003cp\u003eIn F1, the surgical procedure under study is selected, and in F2, the health service value chain is defined. In the development of these phases, prospective and retrospective information gathering techniques are applied, which are essential for the application of the remaining five phases. In F3, process maps are designed for each health service activity. In F4, time estimates for each process are obtained in minutes. Starting in phase 4, a specific patient undergoing arthroscopic surgery for severe knee pain (row 22 of Table 5) is chosen for the development of this and the following phases and for the calculation of the cost of their pathology.\u003c/p\u003e\n\u003cp\u003eIn F5, the monthly cost of providing the service to a patient is estimated (company financial information). Next, in F6, the practical capacity of each resource provider is estimated according to the time of resource consumption. Then, in F7, the total cost (direct and indirect costs) of providing the service to the patient is calculated. Once these results have been obtained, the costs of the 60 cases studied are calculated.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe research carried out showed that the case study, in an implementation of TDABC, generates useful information for managerial decision-making. The results were analysed in two ways: firstly, a general description was made of patient behaviour regarding medical records, and secondly, each of the phases of cost determination under TDABC for arthroscopic surgical procedures was developed using different information collection techniques\u003c/p\u003e"},{"header":"4.\tResults","content":"\u003cp\u003eThe results are presented below. First, a characterisation of the patients is given, including their gender, surgical procedure, average age, health insurance status, and services received from the public health network. This information was obtained from 60 medical records of patients who underwent arthroscopic surgery during the second half of 2022. Second, the cost determination using TDABC in the study area is presented.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e4.1. \u0026nbsp; \u0026nbsp;Characterisation of arthroscopy patients\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eSixty medical records from the second half of 2022 were reviewed from patients with arthroscopy pathologies. Most of patients who underwent surgery were men (87%), who had come in for pathologies involving tears (50%) and dislocations (36.7%), followed by trauma, osteoarthritis, and fractures (Fig. 1). Approximately 81% of patients had an average age of 25 to 44 years (34 patients), followed by 15 patients aged 45 to 64 years, with the remaining eleven patients aged between 5 and 24 years and patients over 65 years of age (Fig. 1).\u003c/p\u003e\n\u003cp\u003eFollowing this, the type of insurance used by individuals attending this healthcare provider was analysed. It was observed that 65% of patients attend this healthcare facility under the social security service, followed by those who have taken out private insurance (25%) and, to a lesser extent, individuals who attend privately (6%) (Fig. 2). A total of 45 cases were recorded for tears, of which medial meniscus tears accounted for the most cases, followed by knee dislocations and trauma to the lower and upper extremities, with a total of 12 cases, and a minimal number of fractures and degenerative diseases, with 3 cases. This is the result of the total of 60 medical records submitted for study.\u003c/p\u003e\n\u003cp\u003eThe social security network in Ecuador is divided into three segments: Social Security for the Armed Forces (ISSFA), the National Police Social Security Institute (ISSPOL), and the Ecuadorian Social Security Institute (IESS) for the general public who contribute to compulsory social security. It was observed that patients from the national police and armed forces were the ones who most frequently attended this private hospital for conditions such as tears, dislocations, and trauma. In general, their ages range from 25 to 64 years (Fig. 3). People who attend privately are older than 65 years.\u003c/p\u003e\n\u003cp\u003eOnce the characterisation of patients treated under arthroscopy procedures has been carried out, the case study is developed to determine costs under TDABC. The information was organised for each of the TDABC implementation phases proposed by Kaplan \u0026amp; Porter (2011) and the application of techniques to obtain information, using a prospective and/or retrospective approach.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e4.2\u0026nbsp;\u003c/em\u003e\u003cem\u003eImplementation of TDABC\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eNext, the development of the case study begins with the surgical procedure of arthroscopy under the case study method, to determine the TDABC costs of a private university hospital in Ecuador. It is carried out following each of the seven phases proposed by Kaplan \u0026amp; Porter (2011), which correspond to the following subsections. The content is structured as follows: 4.2.1 Phase 1. Selection of the medical condition; 4.2.2 Phase 2. Definition of the value chain; 4.2.3 Phase 3. Design of process maps for each health service activity; 4.2.4 Phase 4. Time estimates for each process; 4.2.5 Phase 5. Estimating the cost of providing the service to each patient, 4.2.6 Phase 6. Estimating the practical capacity of each resource provider; 4.2.7 Phase 7a). Determination of the total cost of providing patient care and 4.2.8 Phase 7b) Determination of costs under TDABC - 60 medical records of arthroscopic procedures.\u003c/p\u003e\n\u003cp\u003e4.2.1\u0026nbsp;Phase 1. Selection of the medical condition.\u003c/p\u003e\n\u003cp\u003eThe beginning of the case study development was marked by the assignment of the arthroscopy area for cost determination under TDABC. To this end, a direct observation technique was developed through fieldwork to understand the integration of staff and activities involved in the arthroscopic surgical procedure. A semi-structured interview was conducted with the outpatient and emergency departments to understand where a patient diagnosed with arthroscopy surgery begins his/her intervention process. In general, this surgical procedure is related to pathologies affecting the knee, ankle, hip, shoulder, or wrist. In addition, the rest of the services used by an arthroscopy patient, such as hospitalisation, operating theatre, nursing, imaging department, and pharmacy, were investigated, with varying degrees of intervention.\u003c/p\u003e\n\u003cp\u003e4.2.2 Phase 2. Definition of the value chain.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe value chain includes every area an arthroscopy patient may require, regardless of pathology. We then identified the primary and secondary activities related to the arthroscopy procedure. This made their description easier. The tasks performed in different activities of the surgical process under study were specified (\u003cstrong\u003eFig. 4).\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA prospective study was conducted to develop the value chain, involving six semi-structured interviews with staff members from the emergency, outpatient, hospitalisation, operating theatre, nursing station, and reception areas to obtain information on each of the primary and secondary activities.\u003c/p\u003e\n\u003cp\u003ePrimary activities describe all the processes involved in the area of study, and secondary activities complement the efficient execution of this procedure (Fig. 4). Identifying these activities in the patient care cycle was the starting point for designing process maps and measuring subsequent results.\u003c/p\u003e\n\u003cp\u003e4.2.3 Phase 3. Designing process maps for each health service activity\u003c/p\u003e\n\u003cp\u003eIn this phase, the process map for the arthroscopic surgery procedure was designed. The content and structure of this map were validated by the officials working in each of the areas. The Wondershare EdrawMax tool was used to design the process map.\u003c/p\u003e\n\u003cp\u003eA prospective study was conducted. Meetings were held with the medical and administrative management areas. Semi-structured interviews were also conducted to obtain information from the following areas: emergencies, outpatient consultations, pharmacy, laboratory, operating theatre, and nursing station. This process map was structured, taking into account the entire procedure that a patient would follow upon admission with symptoms that may ultimately require arthroscopic surgery. As can be seen, this process map is quite comprehensive, as it includes all the particularities involved in caring for a patient with these characteristics.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe processes were identified and classified as follows: diagnosis, preparation or pre-operative, surgical intervention, and rehabilitation or post-operative. Each process contains a breakdown of essential activities in the complete patient care cycle. It is important to understand the flow of information for each process:\u003c/p\u003e\n\u003cp\u003e- In \u0026lsquo;diagnosis,\u0026rsquo; the patient is analysed to rule out the need for surgery, as they have never been transferred to the operating theatre for arthroscopic surgery since being admitted as an emergency.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e-In \u0026lsquo;preparation \u0026ndash; preoperative,\u0026rsquo; on the one hand, the patient plans the surgery with the specialist, and, on the other hand, for their admission to the outpatient clinic, the medical record is opened, and, if the patient has not been a patient in the hospital before, a new medical record is created.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e-In \u0026lsquo;surgical intervention\u0026rsquo;, the patient is referred for surgery after being seen by the specialist in an outpatient consultation. Activities that lead to hospitalisation are identified. Subsequently, the operating theatre is prepared to begin the surgical procedure until the patient is transferred to the recovery room. The entire surgical procedure is incorporated into their medical record. Resource consumption, equipment, and labour usage times are identified.\u003c/p\u003e\n\u003cp\u003e- In \u0026lsquo;rehabilitation and post-operative care,\u0026rsquo; the patient is transferred to their room, assessed by the specialist, and plans are made for their discharge.\u003c/p\u003e\n\u003cp\u003e4.2.4 Phase 4. Time estimates for each process.\u003c/p\u003e\n\u003cp\u003eThe activities in the general process map (Fig. 5) form the basis for designing the process map, adding the time factor (Fig. 6), specifically for each particular real-life case. In the medical records studied, patients with tears accounted for the highest number of cases requiring arthroscopic surgery. For this reason, it was decided to calculate the costs, separating direct and indirect costs, of a patient admitted for arthroscopic surgery due to severe knee pain.\u003c/p\u003e\n\u003cp\u003eTo develop the second process map (Fig. 6), fieldwork was carried out. Authorisation was requested from the administrative management to attend and observe in situ the intervention of a patient aged between 25 and 44 who was scheduled to undergo arthroscopic surgery for this condition. With the information obtained and the information from the medical records, phase 4 was initiated and continued through phase 7, with data from the same patient.\u003c/p\u003e\n\u003cp\u003eFor reviewing the 60 medical records, all resource-consuming activities were controlled by the time factor (labour, use of equipment and spaces, etc.). The information for each patient was compiled in a properly structured database. A wide variety of pathologies were observed, such as knee pain, tears, inflammation, meniscus disorders, joint dislocation, rotator cuff syndrome, and meniscus tears or wear. A standard was established for the time consumption of each activity: opening or creating the medical record, performing pre-surgery examinations in the laboratory, recording the surgical procedure, transferring the patient to the room, specialist control, and billing.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Regarding the registration of time in medical records, the surgical team records the actual time spent in the operating theatre from the moment the patient enters the theatre for preparation, administration of anaesthetics, beginning of surgery, and transfer to the recovery room (Fig. 6).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe process map and estimated times were validated with the administrative management and corroborated with the information taken during the surgical process described in the medical records. For the fieldwork, a prospective study was conducted and a direct observation technique was developed. This process facilitated understanding the times recorded by doctors in the medical records, as well as the different activities carried out in the operating theatre.\u003c/p\u003e\n\u003cp\u003eFigure 6 includes only activities that reflect the consumption of resources in arthroscopic surgical procedures, taking into account the time factor. The time (indicated by orange circles) was established for each activity in the arthroscopic surgery procedure. Thus, for example, the total time spent on preoperative and postoperative activities such as \u0026lsquo;creating medical records\u0026rsquo; and/or \u0026lsquo;opening medical records,\u0026rsquo; \u0026lsquo;performing routine preoperative examinations,\u0026rsquo; \u0026lsquo;recording the surgical procedure,\u0026rsquo; \u0026lsquo;transferring to room,\u0026rsquo; \u0026lsquo;specialist control,\u0026rsquo; and \u0026lsquo;billing\u0026rsquo; was standardised at a total average of 143 minutes for all medical records studied, as this is considered the average time for the entire patient care cycle in these general areas for arthroscopic surgical procedures. On the other hand, activities directly related to surgery (indicated by bright blue colour) such as: \u0026lsquo;entering the operating theatre to prepare for surgery\u0026rsquo; (75 minutes), \u0026lsquo;administering anaesthesia\u0026rsquo; (120 minutes) and \u0026lsquo;starting surgery\u0026rsquo; (105 minutes), and the phase in which \u0026lsquo;the patient is transferred to the recovery room\u0026rsquo;, which is the most time-consuming (135 minutes), add up to a total of (435 minutes). Thus, it is estimated that the total time consumed by resources for this patient amounts to 578 minutes. It should be noted that the 120 minutes for administering anaesthesia and the 105 minutes for surgery are recorded separately because different specialists are involved: the anaesthesiologist, the surgeon, and the circulating physician who acts as an assistant during surgery, even though these times overlap.\u003c/p\u003e\n\u003cp\u003eAs can be seen from the data, the patient\u0026apos;s length of stay in the recovery room was 2.25 hours, and after the anaesthetist\u0026apos;s diagnosis, the patient was transferred to rest hospitalisation. To this end, the operating theatre nurse specified that this is the time required by the anaesthetist for the patient to recover fully from the effects of the anaesthesia.\u003c/p\u003e\n\u003cp\u003eThe activities (dark blue coloured) are directly related to the surgical process, and the time is specific to each patient according to the identified pathology, and the patient\u0026apos;s responsiveness to surgical procedures, whether due to age or gender, health comorbidities, family history, among other factors related to their health status. The activities (in pale colours) are complementary, occurring before or after surgery. They are essential for quality patient service and for generating the necessary reports and records about the resources used. The process map (Fig. 6) helps estimate and allocate costs only for arthroscopy procedures, as identified by the patient\u0026apos;s medical record pathology.\u003c/p\u003e\n\u003cp\u003eIt is worth mentioning that the hospital currently has a policy of systematically recording the time from the beginning of different stages of the surgical procedure within the operating theatre area. According to the interview conducted with the operating theatre nursing staff, in this type of procedure, once patients have been stabilised in the recovery room, they are usually admitted to rehabilitation with a minimum stay of one day. In other words, outpatient services do not apply to this type of surgery. This information was corroborated by the administrative director.\u003c/p\u003e\n\u003cp\u003e4.2.5 Phase 5. Estimating the cost of providing service to each patient\u003c/p\u003e\n\u003cp\u003eThe hospital under study has some organisational advantages. The accounting system is designed for hospital services. It includes an electronic system for recording and monitoring staff attendance, as well as a properly structured informatics department to \u0026nbsp;provide technical support in all areas of the hospital and support control procedures when required by senior management.\u003c/p\u003e\n\u003cp\u003eTherefore, the information it generates is timely and aims to systematise all processes. When an employee is hired, they are directly assigned in the system to the area or areas in which they will work, with their respective percentage of dedication. Each general cost group is attributed the depreciation of the movable property and medical equipment used in that area, as well as the respective resources and supplies, medical equipment materials, and other indirect costs related to that area.\u003c/p\u003e\n\u003cp\u003eFor the development of phase 5, estimating the cost of providing the service to each patient, a retrospective and prospective study was conducted. The documentary information technique was applied, which consisted of analysing the cost information provided in digital format in Excel by the hospital\u0026apos;s accounting department for the same period as the medical records. The costs were organised and classified according to the time consumed by an arthroscopy patient during their procedure, as shown in Figure 6. The accounting items were extracted from the 2022 Comprehensive Income Statement about surgical procedures.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1. Total costs associated with surgical procedures.\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"614\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCode\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA\u003c/strong\u003e\u003cstrong\u003eccounting items\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal annual cost dollars (A)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e% CT (B)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnnual cost allocation \u0026nbsp;dollars (C)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e% Accounts (D)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMonthly cost in dollars\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;(E) (E=C/12)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e6.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCosts\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.535.955,13\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e61.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDirect costs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e2.894.588,51\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e52,29%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.339.988,99\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e46,29%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e111.665,75\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.01.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eOutpatient consultations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e268.818,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e231.606,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e8,00%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e19.300,57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eHospitalisation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e816.425,27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e690.076,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e23,84%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e57.506,35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eOperating theatre\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e229.120,32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e152.402,09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e5,27%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e12.700,17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eSterilisation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e85.408,53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e20.808,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0,72%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.734,01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.06-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eImaging and radiology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e202.776,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e184.343,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e6,37%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e15.357,94\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003ePharmacy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e47.261,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e47.261,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e1,63%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e3938,49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e61.13.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eMedical waste\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e13.490,70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e13.490,70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0,47%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.124,23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e62.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIndirect costs\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e908.775,46\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e16,42%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e474.605,11\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e52,22%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e39.550,43\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eBilling\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e90.104,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e81.265,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e8,94%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e6.772,10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eSystems and software\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e9.927,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e8.525,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0,94%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e710,46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eMaintenance and medical equipment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e27.564,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e23.341,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e2,57%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.945,12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eCafeteria\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e15.597,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e11.294,64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e1,24%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e941,22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.07.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eProperty, plant and equipment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e298.918,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e298.194,98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e32,81%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e24.849,58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eAuxiliary services\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e35.798,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e33.883,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e3,73%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e2.823,61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eBusiness Informatics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e17.977,66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e17.428,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e1,92%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.452,37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e62.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003eMedical audit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e671,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e671,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0,07%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e55,97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e63.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOccupational medicine costs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e211.524,70\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e3,82%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e64.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAssociate services\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.521.066,46\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e27,47%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 192px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTOTAL COST\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e5.535.955,13\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 132px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.814.594,10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003cstrong\u003e151.216,19\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAs can be seen in Table 1, the total costs extracted from the Comprehensive Income Statement for the year 2022 are distributed into four main groups (direct, indirect, occupational medicine, and associated services). However, for the study, we focused only on 52.29% of direct costs and 16.42% of indirect costs. With the remaining 31.29% distributed among accounting groups 63 (occupational medicine-related costs) and 64 (outpatient cardiology services and intensive care unit), which are not part of an arthroscopy procedure.\u003c/p\u003e\n\u003cp\u003eFollowing the total direct and indirect costs, only those costs related to arthroscopic surgical procedures are filtered. Therefore, 46.29% of direct costs and 52.22% of indirect costs. Within the direct costs, hospitalisation costs account for the largest share at 23.84%, followed by outpatient consultation costs at 8%. The 6.37% is distributed among imaging and radiology, and 5.27% among operating rooms, which are the most representative costs, since 2.82% is distributed among sterilisation, pharmacy, and medical waste. Meanwhile, regarding indirect costs, the largest share is attributed to depreciation costs for property, plant and equipment at 32.81%, billing at 8.94%, auxiliary services at 3.73%, software and computer equipment at 2.86%, medical equipment maintenance at 2.57%, and only 1.31% for the cafeteria and medical auditing. Finally, the direct and indirect costs to be allocated are converted to monthly figures because Kaplan \u0026amp; Porter (2011) suggest in the TDABC implementation methodology that allocable costs should be converted to monthly figures (Table 1) to obtain the practical capacity cost rate. For further analysis, only the value of the monthly costs will be used.\u003c/p\u003e\n\u003cp\u003e4.2.6 Phase 6. Estimation of the practical capacity of each resource provider\u003c/p\u003e\n\u003cp\u003eThe actual time in hours per month of dedication was calculated. On the one hand, for healthcare providers, referring to human capital from their different areas, and, on the other hand, with respect to fixed capital corresponding to the time of use of the assets in the provision of the service.\u003c/p\u003e\n\u003cp\u003eThe Labour Code (National Congress of Ecuador, 2014) emphasises that all Ecuadorian employees shall work an 8-hour day, provided that they do not exceed 40 hours per week over 5 working days. In other words, this commitment is equivalent to 40 hours per week or 160 hours per month, or 20 working days per month. Kaplan \u0026amp; Porter (2011) consider it relevant in their pilot proposal to calculate the practical monthly work capacity of employees and the use of their equipment. Under this criterion, they propose the following equation:\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"355\" height=\"67\"\u003e\u003c/p\u003e\n\u003cp\u003eWhere:\u003c/p\u003e\n\u003cp\u003ea) \u0026nbsp; \u0026nbsp;Actual days worked by the employee per year, excluding public holidays, compulsory rest days, and leave.\u003c/p\u003e\n\u003cp\u003eb) \u0026nbsp; \u0026nbsp;Hours worked by an employee during their normal working day, as stipulated by law\u003c/p\u003e\n\u003cp\u003ec) \u0026nbsp; \u0026nbsp;Average hours spent on activities not related to their job role.\u003c/p\u003e\n\u003cp\u003eTo develop this equation, the actual performance of each employee\u0026apos;s working day had to be verified internally in each area, taking into account possible daily contingencies. When developing a case study, it was decided, in conjunction with the accounting and administrative management departments, to use 85% of practical capacity as the calculation unit. This is because, as it is a university hospital where doctors perform academic, research, and practical functions, it is much more feasible to apply the practical capacity standard, which ranges from 75% to 85%. This standard value has been widely applied in the development of cases by various authors (Anzai et al., 2017; Hayatghaibi et al., 2021). It is therefore understood that 20% or 15% of the time, employees engage in activities unrelated to their working hours. Therefore, from an initial 160 hours per month, a practical capacity of 136 working hours per month was obtained. It is equivalent to 6.8 effective working hours per day. A normal absence of 1.2 hours per day was estimated for employees, without compromising their intellectual or physical performance.\u003c/p\u003e\n\u003cp\u003eThe information obtained provides the data needed to develop Equation 1 (E1).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"448\" height=\"57\"\u003e\u003c/p\u003e\n\u003cp\u003eThe monthly cost (direct and indirect) obtained in Table 1, was divided by the practical capacity rate obtained in phase 6 (136 hours of practical capacity). E1 is developed in Table 2. Thus, for example, for the Operating Room, the practical capacity cost rate was $93.38 per hour of work. ($12,700.17/136 hours of practical capacity rate).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2. Practical capacity cost rate (E1) \u0026ndash; Surgical procedure\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"588\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCode\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eA\u003c/strong\u003e\u003cstrong\u003eccounting items\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMonthly cost in dollars\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePractical capacity cost rate (B)\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(A/136h) (\u003c/strong\u003e\u003cstrong\u003edollars\u003c/strong\u003e\u003cstrong\u003e/h)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePercentage ratio %\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 274px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePractical capacity rate - Hours per month:\u0026nbsp;\u003c/strong\u003e136 h\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e61.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eDirect costs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e111.665,75\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u003cstrong\u003e100%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.01.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eOutpatient consultations\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e19.300,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e141,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e17,28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eHospitalisation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e57.506,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e422,84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e51,50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eOperating theatre\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e12.700,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e93,38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e11,37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eSterilisation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1.734,01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e12,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e1,55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.06-10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eImaging and radiology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e15.357,94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e112,93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e13.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003ePharmacy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e3.938,49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e28,96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e3,53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e61.13.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eMedical waste\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1.124,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e8,27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e1,01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e62.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIndirect costs\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e39.550,43\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e100%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eBilling\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e6.772,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e49,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e17,12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eSystems and software\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e710,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e5,22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e1,8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eMaintenance and medical equipment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1.945,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e14,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e4,91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eCafeteria\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e941,22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e6,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e2,38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eProperty, plant and equipment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e24.849,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e182,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e62,83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eAuxiliary services\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e2.823,61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e20,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e7,14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eBusiness Informatics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e1.452,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e10,68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e3,67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 66px;\"\u003e\n \u003cp\u003e62.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 208px;\"\u003e\n \u003cp\u003eMedical audit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 104px;\"\u003e\n \u003cp\u003e55,97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0,14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWith the data obtained in Table 2 on total direct costs, it can be observed that the costs of \u0026lsquo;outpatient consultations\u0026rsquo;, \u0026ldquo;hospitalisation\u0026rdquo;, and \u0026lsquo;operating theatre\u0026rsquo; have the highest hourly capacity cost rates (80%), followed by imaging and radiology (13.75%), in relation to the rest of the accounting items. On the other hand, when analysing indirect costs, it can be seen that the accounting item \u0026lsquo;depreciation of property, plant and equipment\u0026rsquo; represents the largest share (63%), followed by \u0026ldquo;billing\u0026rdquo; costs (17%), \u0026lsquo;service assistants\u0026rsquo; (7%), and \u0026lsquo;medical equipment maintenance\u0026rsquo; (5%).\u003c/p\u003e\n\u003cp\u003e4.2.7 Phase 7a). Determination of the total cost of providing arthroscopic surgical services.\u003c/p\u003e\n\u003cp\u003eIn this phase, the second temporary equation (E2) is calculated. E2 is estimated from the ratio of time (calculated in phase 4) of resource consumption by the patient in each activity (Fig. 6) to the practical capacity cost rate (E1), which is included in Table 2 (column B). At first glance, the equations are simple to calculate; however, E2 becomes complex because the practical capacity rate must be multiplied by the resource used during the arthroscopic surgical procedure per patient. Given the significant amount of data, reliable accounting information is required, duly classified to identify the resources consumed by each activity during the service provision process and, in turn, to identify direct costs and their precise relationship with indirect or support costs (Kaplan \u0026amp; Porter, 2011).\u003c/p\u003e\n\u003cp\u003eIn this phase, a retrospective study was conducted, reviewing the detailed accounting entries in the Comprehensive Income Statement for each of the costs incurred. This was complemented by a prospective study using semi-structured interviews with the accountant to validate each of the accounting entries related to the arthroscopic surgery service analysed.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eE2. Total cost = E1. \u0026nbsp;Practical capacity cost rate x Phase 4. Times for each resource\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe times used for each resource (Fig. 6), both standard costs and times recorded in the surgical procedure, must be multiplied by the practical capacity cost rate (Table 2). This result determines the total cost of the arthroscopy service for each patient in the study. It is important to note that when determining costs under TDABC, the aim is not to generalise the time for all arthroscopy surgical procedures, as it is natural for times to differ due to the diversity of personal health factors faced by each patient and the state of health with which they enter surgery, including comorbidities specific to each person.\u003c/p\u003e\n\u003cp\u003eTable 3 shows the total direct costs for the activities identified in the preoperative, surgical intervention, and postoperative processes of the arthroscopic surgical procedure, based on the time identified in (Fig. 6), for which the direct cost rate of practical capacity is used as the basis for allocation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3. Direct costs \u0026ndash; Arthroscopic surgery for severe knee pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"643\" height=\"507\"\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e \u003cstrong\u003eThe abbreviations for each column of direct costs are: (CE) outpatient consultation, (HP) hospitalisation, (QR) operating theatre, (ES) sterilisation, (IR) imaging and radiology, (FM) pharmacy and (DS) medical waste.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 3 shows the relationship between each activity, time, and direct costs incurred by a patient undergoing arthroscopy for severe knee pain during the entire medical care process. It was found that approximately 85% of the direct costs of hospitalisation and surgery are incurred in different activities: pre-operative, surgical intervention, and post-operative, while 10% are consumed in outpatient consultations, sterilisation, and medical waste, and the remaining 4.76% comprises imaging and radiology for pre-surgery examinations and pharmacy for the discharge of surgical instruments prior to each surgery.\u003c/p\u003e\n\u003cp\u003eIf the results are analysed in terms of time consumption in fractions of hours, it can be observed that of the 9.30 hours, only 2.05 hours are spent on non-surgical activities (pre-operative and post-operative), while 7.25 hours are spent on surgical intervention activities. However, if we focus the analysis on estimated direct costs, 58.17% were generated in non-surgical activities and 41.82% in surgical intervention activities. In other words, determining costs under TDABC leads to greater precision in the activities that consume resources. This kind of information is useful for managerial decision-making.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn calculating the direct costs related to the arthroscopic surgical procedure, the study took a retrospective approach based on documentary information obtained from the company, such as that from the Comprehensive Income Statement for the year 2022, and a prospective approach based on meetings held with the accounting team to validate and appropriately allocate the time spent on different activities.\u003c/p\u003e\n\u003cp\u003eFinally, indirect costs were estimated, which, when generated over a complete economic period, represent a significant burden. That is, when taking the value generated in the capacity cost rate for the time this resource is used in \u0026lsquo;billing\u0026rsquo; ($49.79 x 0.33), the result of $16.60 would be the indirect cost of the \u0026lsquo;billing\u0026rsquo; activity.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4. Indirect costs \u0026ndash; Arthroscopic surgery for severe knee pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzIAAAI1CAYAAAANR88hAAAQAElEQVR4AezdCbymU/0A8POMilZKSRJjyV4kJIUZe7YoW5YaRKSyFSIykrImQmVpbJUUQtkZZMk6lhLKlqVSlvIXlfrP9+jcnnnmvfe+9973bjO/+cy5z/uc/fzOOb/9nGfMf+JfQCAgMKohcOmll/5n+eWX/8/YsWNz2Gijjf7zyCOPjJoxHXfccf9ZZJFFct/LGO66664B9f+JJ57I9S233HL/ueSSSwZUVxQeORC45557/rPeeuvlubVWVlxxxf9cd911I6eD0ZOAQEAgIBAQGFIIjEnxLyAQEOgjBEZW9jXXXDPddNNN6cEHH8zh3HPPTe94xztGVid76M2nP/3pdO+99+a+lzEstdRSPZToPWnuuefO9d18881prbXW6r1A5BgVEFhsscXShRdemOfWWrnhhhvSSiutNCr6Hp0MCAQEAgIBgc5DIASZzsM0agwIBAQCAgGBJgTiPSAQEAgIBAQCAh2GQK+CzAILLJAiBAxiDcQaiDUQayDWQKyBWANDuwYC3gHvWAP/WwO///3vpxODehVkmO8jvOyyE3AIOMQaiDUQayDWQKyBWAOxBmINxBoY+jXQym2+hSAznbATEQGBgEBAICAQEAgIBAQCAgGBgEBAYERBIASZETUd0ZlRC4HoeEAgIBAQCAgEBAICAYGAwJBCIASZIQV3NBYQCAgEBAICBQLxDAgEBAICAYGAwEAgEILMQKAXZQMCAYGAQEAgIBAQCAgMHQSipYBAQKAGgRBkasCInwGBgEBAICAQEAgIBAQCAgGBgMDogEB7gszoGEv0MiAwQ0JgypQpaffdd0/bbbddDl/5ylfSk08+me67777kg49DOWi3tOy11165HzvssEO65ZZbem3+ueeeSwcccEDaeeede80bGQICAYGAQEAgIBAQCAi0C4EQZNqFVOQLCPQRAgPN/p///CcdeeSRaZ111klnn3122n///XP4wAc+kDbZZJO02mqrJYLFQNtR/rvf/a5Hr2GeeeZJa6yxRrryyivTqaeemh5++OFey9xxxx0576RJk9JNN93Ua/7IEBAICAQEAgIBgYBAQKAdCIQg0w6UIk9AYIgh8NJLL6Vjjjkmff7zn0+LL754uv7667s+TEuA+dGPfpReeOGFAffqxRdfTF/60pfS5MmT26pr1llnTW9961vTK17xirbyy7TkkkumxRZbLPd/hRVWEBUhINAdBCI+IBAQCAgEBAICbUOgY4IMV5ezzjqr7YZ7yvj3v/89XX755em0005LGLbHH3+8p+yR1k8I3HPPPRm+jzzySD9riGKDBYEbb7wx7bbbbongsNFGG6X55ptvmqYIE4cffvg0ccrYM8Ivf/nLadIeeOCBvJ9+/vOfp9/85jeJu9ezzz6bDjrooPSNb3wj3X///emMM85I99577zTlysvTTz+dy6v77rvvLtH5SRi64IILcrr9ykpDMFIf1zN92WqrrbLA9Oijj6ZLLrkk51XXT3/60/SXv/wlW2q8X3zxxen555/P9f72t7/tyvfUU0/lOHjmnHPOyfE/+MEP0p/+9KekjLI5Q/wJCAQE+gWBf/3rX1370H4q4cILL0zS+lrpXXfdlfepes4999yu4nAM3AAndUWOgB933nlnV3/1+Zprrsm9uu222xLreH4ZsX+iYwGBmRcCHRNkLrroovTJT34ycSPpLzh/8pOfdBWF7PjU77LLLglC7EqIH/2GAKayLrRwVfrEJz6ROiWA6tg///nPPF9//vOfvUboJwQw6YoSWJZYYgk/pwvrrrtuWn755XP8D3/4w3xu5YYbbki//vWvsyWHRUeiuWB1IcRgHpxx+d3vfpfP2HgSHBBqzMq///1vRaYJyu+33355fxM6tEGAqGeSx1r6zGc+kyZOnJj0f8KECel73/tePscjHn4gyPzqV7/KQpozPxQW2tbu0UcfnQhM6r3uuutye3ACYWfHHXcUnRmKK664In3qU59K22+/fV67X/3qV5O2jSVnij8BgYBAvyBgH1JwOf9mf9l7rMP9qUxdP/vZz/Le3HPPPbuqoDixX4899tiuuMH6QenSmyKUQsd44atTTz01UaTChRQwYACfGctA+whnDoQ/Gmj7UT4gMKNCYEx/B1Yvh4mhcfm///u/dOKJJ9aT2v79ne98J2tDFHj1q1+dll122ayN9h5h4BCg3Xauomi21bj00kun17zmNentb3+7144ETCoB6W9/+1tH6ptZK0GAjf1Vr3pVet3rXpda/SPkLLDAAtnCcuihh2arCoafJQf8zQNi7FIAwofzNAj2uHHj0itf+crE5asIQvPPP39CyLmxNdu69NJLs8Cw4IILps997nPpYx/7WHrTm97UlY3VaK211srv1tcb3vCGLMywIr3zne9MBLHZZpstp0ujoGBlwhwQrJUfO3Zs2myzzXL4xz/+kfbee++k7xQZ1u1VV12VJk2alOaaa6707ne/O4ELAejNb35zForEzzvvvLmN+BMQCAj0HQLcRVdcccVEQeL3LLPMkunwhz/84T65kpaW0ZeCX0qc58ILL5zGjBmTFl10Ua+DFn7/+9+ngw8+OD300EPdtvHXv/41K0ROPvnk9La3vS3jOTiUkuXTn/50ghfhtG4r6EPCHnvskdDHPhSJrAGBgEAbEOiIIEODw11Fe9w+mpuV68kTTzyRMC2PPfZY9u3/4x//mN/5+TPjutWIxgLywYSpqwTlaVWUpz0p8eoSR8tLi0KgqpenVZFeQlOzpLz8kBkhDGOkbgwWFxblpNfbrKdJV1YZ4Q9/+EMek3iaa2X9Llpm4/BegvHqU2mrFcIscFJGPzwFrkHaLIElpLRXT1c/ixbmk8uPPoKTQCs2ZcqUtP7665dqsgtBmavSH3WUfpgH4wE77ZTxl/bf8573JHnlK2ldlcePtiGAiZDZui7z4L1VsP/MWVVVae65585MPkbBmuZuRqDA5Dtob36WW265RMCY7b/CRas6S5w9cfvttyd9wHjoF8EKo1Py1J8EnA9+8INJP1h/CFX1dL8pKiZMmJCtK/CG9UlI2XrrrZP6WVasr6qq8rt1n6b+oyyZ+uj6TxhzXuijH/1oXnMEoq7E+BEQCAh0DAJ1WopewQfwPzxP8VBvqJ6GLtTT0AQKC3t88803T3XaYs/Dd+pXN/ylrDyFtqGraLB4QRp6Iz8+oJSBDwkk3E71UZC/HtRzyimnJFYjeO6II45IFCNVVeVsr33taxPFD8VJjpj6Bw1Xl/ZKf6dG5//qQ1elsXLrizh0fvz48YmLnt9osALgps/q8d7ke8RFCAgEBHqHwIAFGQgOknGI18Z/5plnEjezetM2NteShRZaKL33ve/Nvvi0rGOnamEhES4lNjiNMZ992uNSHuLgErPrrrtm5ks9ZcPTQtOY0Cx/85vfzDc6YdDUh/lh5YGEaKZXXXXVdMIJJ2R/fHVjnpZaaqn05S9/Od8Mdfzxx3eZlLm1uJnpC1/4Qr4ZilZY/5Qzti222CKJIwhwl+FbK039tM/65LpcdWsXwgYDSGvLLbfMWh6Hn/UPslNugw02yDdTqace3FplDOo85JBDssuQW6toxiF1eT1POumktNNOOyVwete73pWfEKX5UD+GUd7jjjsut8P1h2YMvIxdmvDtb387bbjhhtmtB8FhGUB8zMsCU7X/6uaaRKvuHYwIVbT+mFN1mEf9vvrqq71G6AcE1ltvvVzKOi6ELke0+IP424fNJMTZXiHEmFfnVAg91qN918zf6l3d5r9V2kDiVllllbyfH3744cTiQwDST3VqDwNk/ToHBB8Qtu0D6RFmNgjEeIcbAugIZRg6hDZyD0MHWV3OO++8hGHXR5Z/+IXF1TXxrKriS2BZfd/73pdpIPporx922GGJtZcXBrqBjqEtvDsIBM7d4R3QVJaSW2+9NcFteAPCgf7su+++CV1EpwgK3E0JMfAX2njUUUeVLnQ9CUBcWylT3cbYyhrNSoOGV1WV4FI0G33kqgufTpw4MV+Fr1IK3I9//OPZaq3vxk/oASu0UF+4ysLF8p9++ulpo402ylfTU+bqp/gIAYGAQN8gMGBBBhONSXa7EsHEZr322msTzUTpCmYZo05jCmlACJtuumki+Mw555zJb3khEgiguKmIEzDctCvcoCAezLX4cgZAm7S/hAptSfv+97+fMNmQEL/XbbfdNvHTLQgN8w6Jfvazn000yJCicpAbRp2mB9KCOI0Ho64N+TFY6pk0aVKCmJivIU9IDUOmHppvY9Gnyy67LLvc0YzzC15mmWVkSSuttFLiaoOpcwaBP25OqP1xFgAyFaUcEzhYOntgXOIdStT2Iosskg9ugwFNk7MS6gdPmiZ5IVdCiHGYD3ElYCj32WefpO/GhoEkBHLjIdTQgMvLXUB57+bDeSbuafoq3TwiSPrpPULfIYBJIKATEgnWrGDNWs4888xE0Bk7VSHw+te/vpmc3TfUQdHAQmO9sHxa29ZtVVXduq2Vysz9W97yluyKRlNa4jvxtBbtO4yKtV3qhBOsTVafCRMm5Kub9Z3ioeSJZ0AgIDB0EEA/Cn0iRBBqvKPzztFQpFDKucZ98uTJWeFGCfGOd7xjmk6ix+hDiXzjG9+YXbvQEvTYpSMEFnhHOwQAdBytpIQTp17tsepw1yKEoIfrrLNOQmspDL/2ta/lJvAYaCtrS46o/dEeRYqonnAL2gd/unIerae0RR+5nlGa+q1fzu75rtcXv/jFJA/hTzzBrKqqzO/gYw488EBNJrwAgQ2NZUHKkZ38E3UFBGYSCAxYkCFU0NJgmGgjwI2FAhPtdzNALGuuuWayoVlFaGeaeervGBpWAO4s4jFhEJDfJcgDidHoQGQQLKacgENjJB9Gm9sK1zdMofMF3vn/6i9LBpcXQhlkJD9GCsNOkOGOg2lnbcDYzTHHHFmrRBNFQyReOyUQWtRftMhuPqFl9o5J1TcIWhzhTrz2SvlWT9YecKCdkm6MngQ8iN+4tAke4lmREIhWTK70ZiD86M/YsWMT4lBVVTK/9bGZPwKT9pSXH7MNHlX1sklefISBQQD83e5l7fuGDOG61Eh4sW7tBevB2lx77bWzVtTaJXQjopiGD33oQ/kAvT1BO4goq9scq6+sFQI8X3IWR/ElWJOsQ/aD/YrRIDgT3DETmAsMRcnfl6e+wRvqLtYY5a3zcePGJQoDAoy+EbxYMaVHCAgEBIYPAvYqC0rpAbqDDnqywMAL9jDchDco+Xp7oi1wAsUi/gE/4dp5eGv8+PFZmaLO888/P7tAc5WlXNSfqqrS17/+9eT2RLS0HZoHf1Kk6FcRaPzuLrAmUeagv1VV5TM1yhPkCCyEPYLdxhtvnPAU+gO3FVrZrJeCkmUcniaQUZo288R7QCAg0DsEBizI/PjHP84uIo8++mi2bGgSQ/SLX/wiYXK910NVVWm22WbLATOFUaqn9+c3bQlkUVVV4puPmWf1k4QcVwAAEABJREFUUVezfkIDJo9WhPDjN2uSd4wTpgmCEyAniJNQMtvUPheGvqqqVFWV6nOAwEt7OaL2R1+8lnq9axeydfbgW9/6VqJB0oZ8vYWqqrKmPU39B4lPfSRMLGGKcMh1z2/xfQ1M42BQXPZoxoXuxtbX+iN/3yCACCKI3CUIrZgCgQWPZhCht56sfe4KBGOCN9cOygKCt3VLmKWR5NboIC/hnotmVVX5YC8hh9WGPzhGotnL97///fkiDtZGbhzWFw0m7SstpTWCCFvDlAH6xkqnHgyCG9XEUwDQPhKCpBHA9akIV+IEe5blkcCPoaHdJFDrN4UANwyCM22ucdhbykUICAQEhg8ClHNlL9rDfe0JXFYUKywV8BqPD3QY/qKoZJ2mhEQzCTjaIER5wgdwpnLeewvyF+UIfNWKX6nXoU3v+ulZArdxfaRconCiaGWFgRMJOiVf88nlDE5jjdFnFp0ylmbeeA8IBAS6h8CABBma3ylTpiRMBwYFM8XtSHNcuwgJfvcUCCEFefWUry9p3KkwTVX1P2GjlMcA0ZzQLNPy0ijTHnEVg1Awivojvdl/wkepp/4kPGHy6nHlN8HJb+5xBbmzaGDOIETua25cwtTJ11uA6ApyLLDml0xr7twRwRKTWa8HI6utelyr3zRE4h26Nn5MKP9nh7zF9xbaHUNv9cxc6b2PlqBtLkpwhSdLTbMkd4qSx7oq6Vw5uGawLEpn5cAMSLf2+GaLZ80U1yqsvPLKSR6BK4VLBLhNymtPsR5JE+CEsmbsJ65j4gV7zn5Rzn7g206A8t4McIgyAn966YWZESewVpWxSI8QEAgIDA8E0JliCSHUDLQX6qNIVA+LjP0uUOqwinChlgbfoIt+10Nv9AgfQOGDX1DOeRvPesADUMwSVNDtelr5Db9WVZW41u2zzz75zC38R+hyvpcSp+StP/UZ/uKiJp4Fh0XH7wgBgYBA+xDotyDDGkD7i6nBGJXgbARkRrtPSOitKxhs+eWziWkzmKe99zdAHLTSTNXMz+rRHxoX50O053yBvtMGf+QjH8lnVaqqSgQOpm1aFtYSZZmUaaFpowkPtE5uZqEdxozJX5Cq/AJri/ZolL0zHxOQ/NY/zJsngQuSFt9boLGBLPVNXmNkxsccao9Apk6uXtJLEEfj451WSV6WF+/1wL3OO9chLnZ+Q8Se7QQaLvkQMcifm5P3CAGBgEBAoKMQiMpGHAQoFNA5HaMU4QLL0uEdbaeY8LvdwJrsAD/Fh3M3zmzyfvA9NEKAc3UUOgQZ9By9Ra8oWLWBHqGXaJ3LbcTVA0EJDWU9oVB1Zo+QVPIQmvAzxfLDk4KlCG0k2Lg4hbDEqlxVVUKfuWezlKtX/dIpetSpf/oDNt7VzRLuEh/vJb/fEQICAYH2IdAvQYYfPRcUG9fVpw7aaZIbzDbbbJPcNOLdbSSYfOdS3JyFwSUEuPGjfhPT6quvnt3SIAjmWVpih+ggQoiL1pbWgpBDgHBDGb98Li/awbhzq+K/6l1goXBrCaRBOHHwnmbYTWPStQEZYf4d/KfNdjCRYKF+9+k7jKcsn1wmaGncWmafffakz9ogCHHFEqfeEggbEC2TuDYhN8iypHMBc2ASwiNYlfienrRDTNFnnHFGvh/fIX6CoHMGkD1/YsIXlxz1OCgN2bIkcSmS18FHMKThNh+QPO09DTsXNfNE+DK/xk6TL48Dlp6sVr7xwaWnvIMXhExbbv4RFrfGKK8fEQICAYGAQEBgZEMA3ebGii4V2sBTwS1drP6sDUbgAD5FnEPt5d1lMxRmaLsr0dFEjD96gW6iTeiVjy+jNcq5Tt2FPerhZcCNDFOPj5AuqEPd+uOGL31hjaFAJFRQlrKIuOYdnaOw5OKqLC8RNApNqp/pkVYCPkA+Hgj4AUIJuiUQcLxTXlZVlfAbaB3LNusMnoHwg4ZXVZW42OJvCF/6xWJdlJQEKUKMtghh2gcXAph+e1emWKC8D0aIOgMCMyIE+iXIYHJpWlgD+K5vu+22GTY2JE28eEgBYnRWhsWDlcW5E1oJPvN8WXOhqX8gGchBGusHBAXhya8u1hBWhPJO6wKZ0dBoRzytCcQwtbr8n3YDQoEgIWHnPBzCK1YRghHhh0AEgXonaAgEA3Xrv7J8WVl3VEygcUAP4w5JQ0Q0P9LqgUAGqRI+WH5Kee/aq6oqW4EIBPVyPf0mNLKEEegIJDRWVVXl78Doj/6yjDnvAy5gAskbM4EKLLklEcIgYe+QqrM/BDfEAfIGT4KmsRsvIYnZXV5zZC4d/C7vBFVCoP4Q9LjTOZ/RCi49jS/SAgIBgYBAQGB4IMB64FZDVnu4XUCrKPIw9i6PQVcw5K4Orr+jJ3rN+kDBSQmJhqIb8nF35srlZkt0Sj1ols8IOCyvLfSIFR8foS4B7UKn0R1CAj4BrZKGXnF5pXjTHqWdc4LokHRtaQcd7OlSIcIDHgSPwXKE7gkUtugnXkJ9nm7iRNelo5sO6Zf2CF2Utzw11IMOlzQKT2OkbKUwVB9XMopHdeknxaf4CAGBgEDfINAvQab9JiJnEwIQNwsNhI04NNPjPSAQEAgIBAQCAgGBgEBAICAQEOgdAiHI9A6jtnMwM3PbUoCLFu2R3/XgYCEfX/7CDufX01r9dpECy480Gh4HCP2OMANDIIYWEAgIBAQCAgGBgEBAICDQKwR6FWRYDSIsnC8B6A0OzoUwu4M68zpXsGYZbnVM5M4VMXc305vv3NqYzdXpBjFues088d7e/AScAk6xBmbcNRBzG3MbayDWQKyBGXsNcH3FD9dDr4IM/80Iv03twMDZEL6uJfANbpbjOyvdORfnc5rpzXeHHOUvgRDUzBPv7c1PwCngFGsg1kCsgVgDsQa61kBbvE3AK+A1UtbAvPPOW5dh8u9eBZmcK/4EBAICAYGAQEAgIBAQCAgEBAICAYERBIGhF2RG0OCjKwGBgEBAICAQEAgIBAQCAgGBgMDohEAIMqNz3qLXMxkEYrgBgYBAQCAgEBAICAQEAgLTQqBfgoyPTP3hD39IDt00gzvbnRWZtpkZ7833YJpjL+/u3ndn/Iw36p5H5DsAYFAuJ+g5d6QGBAICAYFBhUBUHhAICAQEAgIzOAT6Jcg8/PDD6cgjj0yrrLJK8iHE5ZZbLn32s59N22yzTVp00UWTj2r5WNSMDDsf8dp3333z+MHADWX77LNP+uAHP5h8MPTss89OPuI1I8PA2HyMzFO4/vrrMzzAwSUF4iIEBAICAYGAQEAgIDBaIBD9DAiMLgiM6U933/nOd6bDDz88M+3KL7HEEsk1waeeemp629veltN8R2VGtsz4qOVpp51m+Dl4N37fkvGxy1122SXdddddOW1G/fPlL385XXjhhV3DK1aocsNaV0L8CAgEBAICAYGAQEAgIBAQCAh0GAJjOlnffPPNl5Zddtlc5R133JHaFWRygRnkz/LLL5/e+MY3Ju5ld9555wwyqumHwRp16KGHTpPwgQ98IN1///3J93Re85rXTJMWLwGBgEBAICAQEAgIBAQCAgGBTkKgo4IMd6KHHnooVVWV3v72t6dXvOIVidvZLLPMkuN+9atfpY9//OPp9a9/fTrnnHPSc889lyZOnJgZf5YcblnO3pQBOotz1llnpde97nXpTW96UyIoPf300zlZ2s9//vP06le/Or3lLW/JzLP2WQO4OGnXfdM+QMlSopD2VlpppWw1Erf77ruL7mh46qmnkj7ONtts2c3qRz/6UR5vVVVp++23T1deeWXu85ZbbpkFvUceeSR97GMfS29961vTq171quQ7MaVDfq+44oo5zfiPOuqo9Le//S2HzTffPI0ZMybXve6666Z3v/vdufx2222Xykc51WM+Nttss1yH+n3bRjzXQPNQVVViTfKBzllnnTXPF5e4J598Mv82j6997WvTFltskXz7hnB64IEHZtfCF198MR1yyCFpnXXWyRa5ueaaK7HW7brrrvl9jjnmyPMOFgcffHBisVlmmWWSeK535opr2tprr53mnnvuNHbs2CwA6l+EXiEQGQICAYGAQEAgIBAQCAjM1BDoiCBD+DjvvPPSfvvtl6ZMmZLPiHCtIoD85Cc/SXPOOWcG8sknn5xWW221hJF1KcCee+6ZMOfCbbfdlsS9733vS5hvBU466aQs+BA4CB4O2H/hC1+QlM4888y06aabpq233joRFtT94x//OAtHXL5mn332hEnWn9/85je5DHc453ucbyEQ3HvvvTm+E3+4k33/+99Pe+yxRxa4WCwIZuutt14WYLThA5gEOMIcmBEMPvWpT+V+XnrppWn11VdP48aNS9J+//vfJ0KXD2hec801yfjAFyyqqkrf/OY3s4BHmFhkkUUS4W2DDTZIBDdCCkGP4Kb+++67L11++eVp/PjxORCQwH6NNdbQrXTPPfckwuZ73vOepByXuA033DALScZFECJQfve73835N9pooy7Lm3FefPHFSb+MK2eY+mfChAnp2GOPTSwzCy64YNI3gtd3vvOddNxxx+W5MzZCFMHphhtumFoqZYGJIJhf4k+fIEAwvPHGG9MZZ5zRY7jqqqsSoZ9gedFFF6Vf/OIXyTrqU2MzSWZ79JJLLukRnhdccME0ygOgodBozoN4ioTHHnvMzyEP5vhnP/tZ11hczMFyTGlROmNPGo++w6v66ryjsiXPUD4pTih/9KcEOMnFIs1+wKEljyd6YG37/b8w7d6A18ChWddwvKNX9X7ap/oBH8ORfg9XQEvqfWv+fuKJJ6bp2q233tq1zpp54Xq4x5q67rrrus13yy23TFPnSHvhcVHGZo0+//zz+QKkl156qWVXwaTwIi0zDGPkL3/5y+nmAa5AT37wgx9Ml1bG7Wl9DmPXWzaNFvqAY3e4Ar+q7yXgsZoVmU97sOTxnDx5clZAN/MOxjsch6/Tbk/h3HPPHYzmk/YL/sRX4l97a8j6lrf0F1zxlHh6AR9a0soTDuit3t7SOyLIFKTkrAzhA7P63ve+d7q2HYjfYqpm/5RTTkmYW0z9bFMtF7T4LDK08ogqAkTQcO4GI7z44ovniwWOP/74bD1wK5ayFhptPleuN7zhDUm6Ri1iyJIw9eEPfzhfQiBePxFuh9H1FTMvvhMBoUF0P/nJTybjI3CxcNTrtjC+9a1vpc997nPJ+ZK77747EQLAwvj1CaNj89hoCKzxs1QstthiWdiwEAgepV4WKeUIjcaKQSUUEgYQAsR94YUXTmC75JJLZouPzVjKe6qfVcfcOeOjLotPPgKOPshHIJpt6ny9+c1v9tprcPkDwVV/r7766myRsTFdhqCwsevjQgstlK1qSy21VCJc3n777ZIj9BEC1jeB196wFiEOcyCAuzhEhyBpfWA+CJ9777138ruPzc0U2eESe4FCBhwpKjAwYGmvEQTBjwBQAEKhwfpKiWAO5BV22GGH9OlPfzrBTSXvUD71k3sVsLsAABAASURBVNLomWeeycT4xBNPzIoX49EPOBdewrj4LZ+zjiys8KY8Qx0K/DFa4C9Q6OhfvS+ELcoU6QIYY5Th5ZtuuintuOOOWaGEOTMXwpSpSjfxw41vCMu77bZb2nbbbTMN865/8Lg14/Ica60+3qH+bR7QXZZ78BX00fr+0pe+lHgCsLqXfoE7bwN0UF6MvjWE/k2YquQyLnnlg5vElb2BBqpPnDWKzss7kgLlhrGh4eBACEX7MWfwRau+mmM0drjnslXf8CboO/xmvs4///ys3DI/xrfNNttkPsp8wAvi7Dl7Ea/Sqs7hjCNMgjV+xrpr9gVuqOMUuNq+q+czp5///OfzvrQ38VLm1l6o5xus3/oI/5oL8Ea74WLzwxtJHByx//7796kLFFXtFDBOiixtWtuEku7K6QtFNzgddNBBmb6Ig1ute5eBOXYAfuBoDOII99ZYd/W2G98RQWaeeeZJXJ0MloWES1erDsw///wJI7zmmmtmlyMDoKWvM/wG/8ADDyRWCRum1MPCou6VV145ux9hxKQRClgPSIKYYky4RYnxh1QADLDktSi1TVDYYqpAZWGIrwf17rzzztlFioAlEIjE1/M1f7OeQL5gwLJinM08bnQTR6BYddVVkz57J5ysuOKKWQCCtBEHDL3NSJCow0c6AUe5ZuACJg7cuJdBst4hXZYuREj8ww8/LLorgC1hhSBBGCJYsVpZeIgL61dX5j7+sC4UIZwaj/nlJifOIvfkZrbMMsskghPNX3fjkzdCzxB417velTAU1uEmm2zSldmaFIdQEf4lsIwScAXzLy7CtBCwN1gTi2KGOyYrK1hixo444ojEQllKEWzsGcQdftlrr72SvIJ4ew8yL/mH6gnn2f8f+chHsjClP6yhcAs8rB+0b4gcC+xOO+2U+73xxhtLSvZu/jHEfyhq1llnnQRvO3+oeUoRuMnvEghfcGp5Z23eaqutsgV6rbXWSq985SuzqzM8a+wCAcF+KGWG4wnfYRQw+MZKu1pgjw6hGRj74ehbvU3r3nqhNCvxYGh9E46tr8MOOyx9+9vfzsngzGPC/hHhhtPPfOYzyZgI/ZR99sq4ceOyJwI+wPjNG3iolys6ZSYGWx0jKYAFYfrAAw/M+wQsjBnj16qfBGjWDQI2z5NWeYYzzvlWeMw868cKK6yQ4Ar81rZTBWxxAr6K8st4KUaMv13FpvJDFfAZFNuXXXZZSyUdvgQPyHVen+DlumUAvsNP8iaiJMeHgRFcYp0qMxQBziv0fP31189eONrFb5oDaYU2ie8twPHt4jw4U92Fr+ypbviLYcB+x+vpm4BGUlxTVlhbFOY8ldSF54Db4QDvAwkdEWT60wGL3+JolgW8ueaaK5+bcaaDVAo5kA5L3qqqsiDknTRK82PhFskbsrUIl1566cRFiwaaVaCqquyGNnHixOyCRoPH9KieElh3SMEIZQnKiy95OvWEvNVlUWLiCUsIGwmWcFjS5SkBTGyu8l5/2nzebTybrZS3cEjTpX6SsHzdBZp9WmWWMAvZGZ56XvVWVVWP6vY3AQpzfe2112YGu44U1aOgxU1rauyINkZKfIS+QcB+Ithb/92VdBYLcvEk8LKKYT7KmrLPxNtzCG5hcs2NOEE6ZsRvCgd7FFH3rgxhWfvixQlcrbg0+s3qWtaqfII6pQnWqTUofiQHihJaagwMxYW1S1ki7uijj85WZ/u1jME5NvNTVe3tnVKuE0/aU/NR5kudFBYYMn33jpiXeTI/9qf9j4ASeOQZzgB3UJIRBDHNpS/eJ02alN1SS1xvT0QXnoR7nL3sLf9gpFvjXNu48IE3ZsC+BHftIfQUcXCo95EYrG8Mr7UNB3DrpoRr1Vf4iecBZaN0rj+ezSAfpZp4OKOpKRc/nME+x2tQKtpP5tEeolAlTFfVtPu7zC3ciqFDi4ez/51om7WCspOCYezYsZ2osqN1WIdoF76QQNOqcusMrwGnsJLJxzIlL5xC0Qy3l/0ofigDAQK9cHSgu3bhCMcuSjocz7sCHbV3jEOaNWrtURLYd9LhemmCdSxOQL/EtRsollgnwZPwUuc/9I8iUHy79fUn37AJMjRNbjiz2DA2kBVESFtP6iXokOQsMBYFAokB0hjSIGOOXSbg+l9IRR2ImTpoHpncaPxJexCJiXSbFo0ITRxtUVVVw/qtF9onFxUQslhPIDrWI0IYGICFhWjBWZTSjZtWBCwE8LMILWCuEgRBAoiykAw4Qjq0W8qrG2yU7S7QTGBubWraZ/Ct57U4C2ODwcW8etbzlN++sYMRssj109yVNHOgLjfcERrFa1tf/Y7QVwi0n99+w8RC4ggwZYD1wc2ICyjXKFYcBAHBnjx5crKX5DdvXJCsDevxwKlaScI+TR3mGJNp32JoIDFl7GVKB1pymi37uPTWfBOWBa4+6mF+Lukj8WnNsyTqG/hhQGmY7TV7gyZNWj3YA+Lr+7eePpi/nX+DL1mQaFJZWVk+zYV51TbmEf5gEXC+zfgQNnPiIg95hjMQtjHN+sDVT9/8JowjlJQ/3nsLyikjn/mg8PJ7qAPhXT/sL+sH/Jt9EM+aYV6aaSPpHb3SH7icQOx3M6Bl9jpFBWEGk9jM4x3usJf8xicQfvweKcFeWGaZZZKxwlXcebnOjR07NrGCE2rqfUXb4UVKAfHWLlzr92gNlL36XnC73yMl2E9cr8yNPoE3xZvfzWAeBfHOgBTeqCh+COjSRkPAJ7JgsnJQqBHSnAvHE1Mu+s1LwFjQAMpqfCPXNdYpFlOXZKHRaIN87QQ0RT4KIevc72Zg7cOLNuM79d4vQcaEY0qYSnWE5PrFL34xlUUgrgTAA0jvgAfYftOGObAO6MxjCBEEJ46FQh5t0B5rh1sGgkrCZm0gWSqLwVKWeRvTpBzBBaHmYkZ7wozIrU0a4UY9BAYT118iZhGoX52CdwyA3/WgnSuuuCJHYdL1K79M/ePsyte//vUsTGEGjRXSQ1wtKMgCATM+sOAS9LWvfS1BpFOL5/8QIuGEuZB7xfjx47NPJ2aKW5z8CAjhTf0YLXVbvBCxSpgbuQYQ9rwzDxIw/HbeiUaAYMSqgvBKw7xhjLjQQBr6YC6U4XtqrPoGqbMIIUgsTdJLoGk0LoTP2tA/wk5B+CVfPDsPARZGFzXUayYUc+l46KGH8q1zXCXdSmduCaPWlvwEXJoi+wiB4Dbx/ve/P1nLECONI+GXCyUEqYw96RIK9dnD1quyFBDiuADYwwRo/bDfuZgqO5KCPkPcBD3jrPcNnLwzodf3qLgSCDGEivI+VE9tshIhJoQUbrrGQAtpPvQDXuDzjnE0PyWPM1fmRJ7hDPAOHIi51w8MpL7DSywr4noK8CALiHVdFCc5/zD9wVygpZqvazG91wMmAM2rx42032iNPmEi7Wm433sJlIzwu/WGOURX0IWS7olPQPPkQyedr6QUWWCBBSSPqGDt4TesPXiQUggP1GpdOTvA+6PwB2gtrfiIGlCbnYHz4H7z1GaRIc9GCLa2MPIUqXhOvFGrjhCozZ80dI/VAn1zFojCTvxoCOgrns5+oTTkLUAhibdm8WXdMZ6CR6TjfykW0FrlfU6DcQE9p8RqZ9wU2HhKefH0eEe/mwF/gN9txnfqvV+CDL9CzLUB819lWnLAB8Pb7BgTPi2vfJh1gy15IG/mdKYx1hIMtcVX0gkfmB/CB0mT+cpkSMcYs7ywQpg8kyK/hckFAWOMKSONmyjxyvPR9eSLjMk3werra2DtUI9xCfqivWY9pH2MgDy00MrV83AdIKhB3Ppc1+jwT1fGAuNT7PCa+urlmfZpVMGZFtsCxSyVPBCs+sWr3+Im5NDEyq9fNgDhsZhQERrIQJoyxkkgk4/woU1ImSXJ2NSJCQJrZQg26q+ql03sCBKrWr1fpX8QvPUBcYAf4lDS4jm0ECBQ0ixiSiAkDKM4c1/vCYsf7XfZO4iF/ViQJOshBrNeBjOCwWeBpLmh8RLUz60QIqVUUKezO9Ksz3odI+E3uBDO7NNmfyB1cRQyI4Hx15d6gBcpGAoOBV97jouIfJQO8CirNW05xt++hetbKamUGeoANxGQtet2HIyVdUobLq6nQCkEF8FXcGBPeYcijeKo7JO+aECHom99bcO+LWVYVJqCDObKpQBoAzrB+lrylydBldDG2ou2mF8MKYVZyTNSntYh4Qzd4mVg/vAqlDmUOKWfBBv8kgttMHMs2IQ9tLzkGU1POLooJEdqvzHh8BhYUwrrJx7Ks1VgTWRZsm7xoIQZdMnaa5V/JMbB1XAh2oM+s/7Di/CLfYS3Q7uafUezpRGs8eZlrzEANPO2egczeEya39a230Md+iXIIHiEBgxPPRAWmgPAwNTzFECVfJiWkt6KGGF+SrpnKedJuyhOgCxMiACpQi4kQKYuCLLk91t+QT7x/QkYMvWrpx6adVkc9fSmphZxrcNS/nodmMRSnlWknlZ+g7txyqdfJd6zu/q5adT7T0Mvv2COSrv6ZgOYG/WXfDaA8oI4ffBbHkGcugTrBaKoqpcFG3ElYChK35UzPyUtnkMLAe5ltFE0hjQzLDb2EQQFUbbbG4ityciUsvYnJOsd8aeFLYTfWhVfQtFWl/eR8NRHa5k1o2jySr8wyX4TykaaNYkSiXBFiKShMz/mllXAZSPmgaXGXNjzhBkCKeUUFygHOI1tuAPYswbDP9YPBZg4+Ke3vlVVlW9HNG8ULyU/Yg8e5X2onmhbcSfD8JqfoWq70+2UvYr+wOP2eb0NTJV4we+qmp4WwAusgfII6qrXMVJ+85qgWESPCfnOJMCV+g93Fjd4a4riwJ7jiqr/RQinfIVXxY2mgBdAr1k2S79Z4eG88j6cT0oxCnLnPOwn+IviFV6jlGnVNzyI+ZBGyOZFZF6VEzcaArptHeqrdehZQtmb5b3+JPSwyvAaojin3Kqn9/bbHi04DMwJUr2VGYz0fgkyg9GR3uuMHAUCNiitgadg85KoIc6SJ54Bgb5CAFJSBhNBu4NRhORo8juF1CHcIhRBgARezIt2m4H2rxk3kt6d16grHlgTi9WRy2WzrwQ8MB0uZM/NoN4nVhaKJHMCdyBEBBY4RT5Kl2OOOSa7spY5Ez/cwdksQhjhS1+5zfW1TyzKyrCimSsCnfehDNYOVzlzoF1eAp71YIy0w9ZOPX4k/bZu9J3wQpgve2Ak9bHTfSH0c4Mu9RKoWZnspTJX9jkPBeuLZ4P9x82pCN3OFZbyo+3JWkFA029CnXH5PZwBjuJ9wtUJvAV8EeUoYUs/u7MYwN0ENP2nVGjHVVXekRIo2BgNWvWH9VC8PILfJRB+4ELWQk/7t6S1++SGzCjg7CHvKXugWRa/2ozr5HsIMp2E5hDVhelg5cBkOFPE3avV4hmi7kQzIxkCfegbBoRLIORPM2OdEWQgqD5U0zIr9zTnS2jGMPPOQRGYEA83/bACYqwRfwyCdCYRY/SzAAAQAElEQVT/lpWNkEj7jotd6Q4NO/cSGkHmfO6eJc3TXuUqWhgdcUMZnJFxRoEFQrvOyBEiwRkhQuTl4S5KQIBTWOlYb50zVGYkBJZfQiThmlutNdTXfhkPIYEm1hrHhPe1joHmt+a5UrlFklbYNy+sj1IvixjtMDdLe7HEj6Qnq4IzY/Y3q/0+++yTWFxGUh8Hoy8OTWOUMb2lfvvJBSncyMTR7ts7p59+etcHJV2eQgsuHY7gVu33aAvmmAKBSzw3uaIEG65x2B/OK8FX+CKu9CVwJZXuCISzmK36iJ+aMGFCTuLunn+Moj9wITyOHllT8DdLDKGZ94ChwDGEOr/RdG504OGIiPHDqy4Bkt6X4Oys86364IwrZVgpz0WN+7KLf0rcYDxDkBkMqA5ynRYMjYFDkSVgQqtqenP9IHclqh+hEHDWzGUYpXuYJRaQ8o5JKre6OGfGt5u2BrPNEuISBgTXBQ40OnzBuSQp72ILiAsh945AOPzpQgDvGC8Mvd8lOEOD+dQv2nQHYKXRStNU0mYqTyPEbYj/OYuAPMMZjAXTi8HXD24jDsE7X+e9Hpj0ERNCIOIBllwbSgADdWFu6uWG6jeCRdhy/kWfHNp10QKXAn3XL4ewjZFrofnHhBm770oMVT/r7RB+Hc53ttHlKtzCCMPgy5JhjVu3zi3Vzx/69pdxYkqUY3nBdNOcG7vgvCEmXHvG71nCUD3B3D4iTGE0MFP6JhiT/UJbOlz9K3CgfAAvzGGJ00fnEOACFhluVfJIt67Mh/3jnYBjrtTjXeCySNiHmwjN5tW8OTTvXZ6RGvTbmnSJDjgIxm49cb9CjzFwzmbQWGOkWS2sP65pxkXwcXaoLryKH45gHPCAva99/YaPucyZY3EClzK4wXgpbMxXVQ0/3+H81ZZbbpkIVc776qvgbDWLmN9oHpcx9AadsbecpYEHKRXcDui7OZ6sO/alNMo172DEamGdqm8og/1jfMVF0Zl0/Wet1Q+KGGuJ4sMZIXODhqJB9p08cPi4ceP8TPhHQo41iyYYEwHQnkWTCdyC8qw2cCchhcIiV9D4Ax9zoyTEO5NufQhoJUESfSc8OROOt1CckKOcveR9ICEEmYFAL8oGBEYoBAgdbmFBQAUIsBBQXaZRw1RIg6QwsFVVJZYQt85B3m4jRMgIzgRmjIf8ng7kspx4xyT6NlNpjxkf0tNOCZBmcVfz7SbEsKTxNYc09RFidtFEXegq+YbjyVyPeGOojRVBQ+wxW636gyA6r4f5x4xxLSkB8TDWVuUGO84ZGZYvhITgWvrEIkAbp30EhSDm6k4aZ9pmc4a4GZc8Qx2cg+QSgggKBGDMPyELY4Lp0CfabUyzORKsJW4mGBnl+PCzhCGeZew0lqxQLCGECPUMR2ANwwC49Q5DUfpHMLAPhrNvBR7OIbHUwgvgK+inOG55mN7iaqQMvAEfwAXywhVuvFSPdGGOOeZIFB7mytzYL35TEgzXetOv3oI5wegTlN2GBQ6Cm8ysTeXhTrCy3ih5qqpK9j5m0ZoDE1pza5NbkzLDGTDGcC/8pm9unvNpCwIpXCBOgPvNufF6erdu/9v3YXsQEOED/dGv0hECQMHd+m9chB6X2rDeWG/mRH74Eb6DW9A8cyzdurQ+1Y+ulTlWZqgCRSO6Y80Yh3WFxjvPWPoATxB24EG42xxRAlH0yENBiM4qT4gmxFBSqtcY0TnCGldR65KikwulNuFPfAH+QF3NQNFiX1gzBHZtC5R6PBfQGHSRYgwc9UG9eBA4oFlfX99DkOkrxCJ/QCAgEBAICAQEAgIBgYBAQCAgMOwQGN2CzLCDLzoQEAgIdAcBWknnLaQzSTPT+x0hIBAQCAgEBAICAYGAQCcg0Ksgw687wqIpYBAwmFHWwFCNg28uczRExdztlp6hajvaif0aayDWQKyBWAOxBmasNcAdDU9RD70KMm4biHBvChgEDGIN9G0N8L3lC1sCP9uAYd9gGPAaMfAKGnBvzEXsx1gDsQaGdw3Uz9kVYaZXQaZkjGdAICAQEAgIBAQCAgGBgEBAoD0IRK6AwOBDIASZwYdxtBAQCAgEBAICAYGAQEAgIBAQCAh0GAIznCDTYfhEdQGBgEBAICAQEAgIBAQCAgGBgMAIhEDHBBn3j7srvpNjdN+04A7vdup1n70++C5Gd/n56/t6qXzt1ttdXREfEJhBIBDDCAgEBAICAYGAQEAgIDDqINAxQeaSSy5JvmbrA0L9hYKP9JSyPmK09NJLp+WWWy7VP3BU0ls9ffRt4YUXTj6aVtIJK4QWwos4z1133TX31UeDxEUICAQEAgIBgYBA3yAQuQMCAYGAQEBguCHQEUGGcHDeeeel5557Lp100kn9GhNB6PDDD+8q64Yj1hMRfnv2FnwpVJl6/ieeeCIdcsghqS5gSW/m663uSA8IBAQCAgGBgEBAICAQEBgABKJoQKDDEOiIIOM6Ot+LICCcccYZ6eGHH+5TN6+55pq0xx57TCNsvPWtb03XX399uvrqq9MiiyzSVn0sMqw6n/zkJ7vyr7zyyunmm2/uen/DG96QjjzyyHTbbbflb8N0JcSPgEBAICAQEAgIBAQCAgGBgEBAYNRAYMCCDMuGj9297W1vS69+9asTN64rrrhiOgC8+OKL6bTTTkuvec1r0hvf+Ma06qqrpsceeyzfzb/++uunX//61+m6665LCy20UPrSl76U1l577fTOd74zffCDH0yEIwLJmDFj0iyzzJJWX331xC3s05/+dK7vE5/4RNpll13SXHPNlZZYYonEsuOr4gsssEB68MEH06233ppWWWWVdNhhh6WddtopzTPPPIkLGmFGR/Xt6KOPTm95y1vSfPPNlw499NDkzI80/Xr3u9+d5p577nTPPfekiRMnio4QEBg0CPzrX/9KTz75ZGJN7CmwhNY74WzYM888U4/q02/lnUl74YUX+lSuL5ntK230NC5pzT48/fTTqfRP+p/+9Ke+NNunvHDaU089lZy5qxfUdy6v2gdnbqv19PpvcyhfMxhHydeX+kqZgTyff/75adaU9+7q0zcwhs+NlZKqnre39HreTvzW/t/+9rfUXPPNuo3p2WefTeawmVbeWe7No7GZD3NV0jyV5V0g3T40VvEDDfr2l7/8JdPI7taOeGPUtn1izetPaRsc9Nm60je0q55e8g3WU1v6pG/NNqSBmzT900/9Lfmk18cGHuJKevOpHfU0gzHL2xus5OlkgA+MzdwYZ7Pv1hW8Ib2dNdgcl3f1Nvts/dmD6m2V3szf3Xvpn2czD1iWNsyb92aeVu/qMlZwMfaSR5+tT2Py9F7Shvtp3so6tB+b+7+7/ikHBwnNPOoAB2u6mRbvgw+BMQNtwqJ/5JFH0l577ZWZfZN86aWXTsMEWOzf+c530s4775y+8IUvpO9///tZEDnhhBNSVVXpi1/8Yu7GSiutlH73u9+lgw8+OH3mM59Jr3/963M84eSb3/xmtqDMNtts6UMf+lAipBBYCDDf+ta3kq+GzznnnDm/Pywv0v1+73vfm1h99JGQVLfw6Nv3vve9LKB89atfTT/4wQ/SMcccky644IJkMxN+WIduuummRNixMdUZISAwWBAgMBPcP/WpT6U999wzrbnmmln4fvvb35623377HDd+/Pi03377TdOFo446Kgvr00T24cV+oTw49dRT00svvdSHku1n/cUvfpGVExQKu+++e/rABz6Qx0ZZYKz2/Yorrpguu+yyrkoR74033jhbVnfYYYec357uytDhH5Qga621VjrllFO6akb44CD4Sx933HHH9LOf/SwhYF2Zaj+uuuqqBJ+tu+66qQR9hn9ka1Xfz3/+827rU2ag4ctf/nLShxImT57cskoMjbFuttlmady4cQnszz777K68vaV3ZezQD8wBi/92222X9tlnn25rlQ/t2G233aahP/UC8lx00UWZDm266abpIx/5SKJ4qzPct99+e9p7772TeijLjj/++NQUrOt19vbbGqGks3bQq8997nPZDbtZTh+M88ADD8weCvY/moS+yotWXX755cnaW2+99dL73//+9PWvfz1hIqUPdtA/51W/9rWvpcUWW2y65u6777607777ZrjZy/a3Na3fMt955505bcMNN0zLLLNMhrG9Jq1V+Pa3v53XX9k/8ODyyy+fbrjhhpyd94Xzru3Wlwv18w+6b2z2wvve974ED5V+lCrPPPPMPL7PfvazydzhOUpa84m/gOPL2DydB6675uM/8EPm2JqxFrngN+tq5x2f9pOf/CQriG+55Zbpilx44YW579qBm3/6059Ol6cZYd05j2yejddvefCA1i04WAee+Ch4XPpwBzTI3rZ28KSTJk1qq0sEMvv3oIMOmia/8V555ZUJPmm3rmkqiJcBQ2DAggzLSFVVGeHY5Hp01113ZeuF34IFYOMiIhDRCiuskI499tj04Q9/OAsk8vQWll122Yw81EFQgljOOeecTIiKwJNq/1hdXvGKV9RiWv9ElDEknhAlqw7tAUbEE/JmueH6BpFttdVWrSuK2IBAByGwwQYbJISR0F/2FWskgiDuG9/4xjStWb+IIGQ6TUIfXjActE7WfB+K9Snrq171qrTtttvmsbHQssyqgABlXAJB4XWve53oHBDe2WefPVtVCXI5cpD+0NTb+4V5LM0g0hjer3zlK7nvBB3EcMqUKSVL1xPB/v3vf59OPvnkhLCVsPjii2ehVEZMmnYw3uYZ7sEQYM6kdzrAydaPNVICy3arduDXV77yldmyTUFEeYQJh3Pll24eCb6t0uXpZMDQUUwR8OHk7urGOMLVPQkdzkqy7GNGTjzxxOQr0ZRs6Ip60aojjjgiW+el77///lmpdf7550vuPTRy2FOEQEwoaz/lg3VvPI2s2QoLnmjd6aefnijOMLIEauO2Ngk6XKfF2UfWEeEGjJr1dfodbrAuHn300YR5a9b/4x//OKG54GYfo++8KVj25P3Rj36UCGDgjdEFF0qTVvNlrLw3KBnL/lFmjTXWyF4T6tMePFnqU7/2WtUn/0ACfGte8C3Wvb1LoKOQUC8cZS54h5hfe8vaIfhJrwea+4cffng6/ECQEUpeLvuUr9Ys4dW+/ehHP1qS+/S0PsyfuWvid8IkAQZOA++PfexjyXo1pu4aMe4DDjggTZ48OfNg5mCf/yoZrr766qwQLrSKIEYZ0FN93bXT6Xh42bxQnMHPxk0RThDpqS3KCOPioWNP1/OCLXplrzbT6vni9+BBYMCCDO2WDQDBFSaDZoYFo2wYJkcagTIMlhMbklBT4tp52szy0ZhZUEJf61C+HiA9SEWccXBp09cHHngga0dtzgUXXDDRZmC6ClKWP0JAYDAgwGKISLQS0Et7GF8IubzTdmJU3/Wud5WoPj8xq/bWNttsk104+1xBGwUQaho6iL9V9llnnTW7f7LKlHRn3Fg3yvtgPeErxIoFa1ISSwAAEABJREFUlptpaQc+wJxgojC+GPutt9464weMWMlXnlxsWTNWW2215OZFQZ0YE66y9fpY2dQH5phVDGypp1NPTPqBU7X8tOMYK4okGmCwbrYhr7nBkMGtxkCrCk9iqLjXtErnBiS9WV8n3rW31FJLpTe96U3dVoeJIGyw1nebaWoCYQKef8c73pEt/NYV5gOTNzU5oVuEhQkTJmSPAO0uuuiiCTMmva/h2muvTWCPISWo2p/mu1U96NlDDz2UrWb2sr5iiK0J82LdmA/9Z9FAD60nzBlmqlWdnYwjpIwdOzYLElVVTVc14d+aEiTymij94kbOEkgp8573vCdZX9a8vls78tcDxYU9Zn7sHwFMCICUlBhyuGSjjTZKpT759cFardc10N+EW4oW/TWGTTbZJMHP+k6BpH64WJ+5sNv/E6auH/uBkCm9Hl772tcmwih+wrgEa1td1kfJ+/nPfz7Ja/2YZ3lKWl+feC6KFMJhsywlDeULnkx7XP0pKgg1zbzlHQ6ndKHYgUvgt5Jmrs1B6a81Y3/BryVP8zlU73Ag/pQFCV5h1bSeKDZ66sPdd9+dj0HAic185p1g5NlMi/ehgcCABBnIldYI828xIPQQDen1hz/8YaJ5MAwLxgbxm4DgWUJVVYmGLLXxTz2EJdoaWh8bCHLtrmi79ZbymBX9Q9gILvo8//zzJ2ZXmxziwuxhBkqZeAYEOg0BjEBPQoz2rHvWQ78xC7SRGCVKAwSXYkEebpvjxo1L3glIEPKWW26ZECrtYADVgTAjPAg27Rl/bMSvqqp8BTrC5f3Nb35zwlhpU7m+Bkxcb2OTjhlQNyaCln2dddbx2hW0f+6552bmtqqqxF2gK7GfPzCSBDmEHNNUqoHHMPC0kCXOOJznowRpMmLKwlUlrycrBtco8MOwqE+90gT1UZi0qk/6QALmzlyDJYsA5g9MW9WJ0YFXnWOUXlVVImzBhXC7p/Q55phDcnYNhvvFS8+RQ/zHuPaZqg2mIdePnpq37gXrBx2B0+0H84Vusfr4XcaChhB6rA1z01PdzTTzjBk0rxhc/viCdpp5vdtz1gX6413b9jg6y42HizWGtqpeFiLsEbC3X6rq5TjlhivgA1hiaOeNEw1lNbJ+BG58xqR/9gi4mC+4SVw9iJNWj/vVr36VCHH2CoUCoahe3wILLJAZf3ivXm6gvyk1uJKVtjy51oG/vhAwucISQvRbe57wpT438YP+mTP5SmBdovwozLB1Q1CwV6uqyu6D1kHJ36knAYbbI8URHKFe/TM+7aMn4uqBBwsrMssNmkG5W7fQmSP1EtYobxwh8JtQXq9nqH87WwW/E6zMnfbLOoQPi8VZfD0QzLjl7rbbbsl819Pi98iAQL8FGYiKxoB7F81DCUzeNgRNFFcMwySt2+Q2CA2mBWPh20DibAb5IHGSfE8EgxbKZufStuSSSyrWbdCuRITDhkTQvaf0v78IMj99MfruKZ++IygkdRsVokHQaBbUJ1+EgMBIgID9QpPMrQzjQ9hG1DFr0pj4aeMI4FwGMH0YIuuY0GIM1jmh3W9h7rnnToQjv9WB0J111lnJvrcXMI/SBjvoM6JvXPW2MIm012XPIjT19L7+xtByS+E3DX/Vy7vIBK6hnIF3EET4DgNDywiO9fzN3/Iri1GRhvnElIJnqQ+xLPWpU75OBUwJBtM8cn/RH0S5Lkh115Y1xGWLFpqQ28xX0q29VunN/J1+J1xyUaK1Rhfard9ZSMwVOmU+4HX4Hq7vrg6CT3dpreLRHLDDdHOPQrsw3/rbas1YY8bDbQnTih6ilSx16GKzDX01lxQVGLJm+lC/E2TAlJaeCxlBH1Pbqh/GxNKKUSc4tspTjwMLygruXfX48lt9mNF26yvl+vO0TvAxrErwkr1r/bSqC0Ovb63SShxBh1UE/EocBTFhmqIJPqfIoYQg0JY8nXjC563Wlrr1G9z9rgd0oSgD4F0wJ7C69Ek+tMfnOMyHdQBPs1hJG85gLOhGqz7AY63S7Hk0hvtZO+u0Vd0RN/gQ6JcgY4HS0NIaWLCYfl21YGlJaSy8I5Y0woQW+Wm+aLZoNyZOnJggYvmY5TBafDVphjEJDrXZYIitNhAFeSFHh+RoAzA44gSbC9LABCAENM82FCsRZABRqIvghTgow10AQeGTz2TMB9XhL+PiUmCzQlrKiEdcPEn0ykcICIwECNAyYYIQ1Xp/MDcYJzf0URhUVZXsHfuN8gDytmfrZVr9xqBmYf+/iYQYxPe/r4P20D9nO2hE9bfekHcWqBLHXaD87usTAaM9ZjHRVrM8wYZ/Pg2y/e+7VFxqaRsJf3U81CzrHc6TB07xrj64Bx4p9V188cXJGNQ3WAQTPttiiy2SsbA8TJ48WXd6DAQ8uFc/W2Wk9CGAdZfeqkyn4uBuAjw4sjb2pV5ryz5AYzCKhSb0pY7e8hIc0QzWGO55LJn2H6VBK4bUGKxpgo4D15hlnyAwb9zMmu0RkrgnKddMG473qqryraOUAVVV5TMg6Dia3OyPM7OEeUJYM63VO4smek7obJXOrVB9YN0qvZNxFLAsq3iQTtRrDVOSwtPqg1+5CuNJCEt4F5dvUCBZG63gqdxQBDwUKxNcRnnh7BCLC4WA217xS/oBx22++eb5whO4Upq9Jm20BDQOL8md0/yMln7PjP3slyCDsTnwwAMTBooQwEcV8Ghx3cpD0EEoCThcwVg9+BnbjMo4TOn2B7eNKGfDQng2NATO9xVxYdp0dbI4jIC8XB64ldEsM9+KEyB0h8lsMhI04oaxYwJFDGgOIDqbz7v+IejqxQRChOIgYYJWWbi0IPoqHuFwOCzMiyAeYSRAAHFAWPtrtsdojYRxtOoDomg/sx4hjK3ydCIOU4Ug0yxSqAiECvjh4x//eD6EzaLM9ZQFi/aRGxBB0YHm3voAtzUZtmZ9GGn4zOHl3uobSLo+I8x8vSmMeqrL2nJehKYYE9nMi9BLpy1uld7M3+l32mSXJaAFhBLzRvPLDx5NsXa6a5P7JVpFoKSpxTiCDXrQXZlWwkR3ecVTHnBhIZxy2UMHwYoA1qpv8qKXLIMulrHuCZLopDR1lsCVyXqhqCDolPjhfFI4EmwJY5R/BHL7hcWi3i90miBH+AWXelp3v/EM3e01lh314RPara+7dnqLZyGmGKVwLRZA81pVrV378Cu98QvFOljatg79ZgnGwyhPALZnrdNO4mzue9aR9prBmtP/ery+VVWVP3XB0qhv+D+u9/g1Fgw8Hv7NOnA5AldUFyT0dqC+3s5g/EZDulsflO/Fg6e0jR+EHwiTcItAuYAOwC/WQckbz+GFQL8EGcieFojLgiftqGFY1OLqgZahIFobvqQhfDaFchA+wUEaraeNBfl7F6SJk9eCIzAxu3ovwSIkLMmvT5CoNIhAXGmPRsd7CdqWrx7Pn7f0jeZFKPmNUf4IAYGRAAHMKEaM8D8S+tPJPrCwIooIZSfrbdbl4DSFBaVMCfzbWaEIN2XPwyWUONx/WG1ZNzD5zfrq76wZmB+W4Xq83+qDH2k5KV/U150rjvydClVVZV/vnoRfzPaNN96YuMxw54F36+2XdPHmx7OePhS/4XjuWpimMm+ENFZ7h3mbTFizTxgb+0Z+Fhp0CrNCQCrMonhCrXlvZa1r1ll/R6eqqkosViUeI4V59Cxx9SfmkRLOuqDltr8JN2UN6g9LoDQ3aJb4eh3D9ZvFCcyNAROOidUXQrqnteSQPhcxLmjgIL63YLzqaK7Xen3mu936emuvu3SWW0pQStMixMiLoXdgnxdIsZbYHyxy1o11Jl+rQMhjFS9up/Lgp9SpfKmvqqoEJ5nvwpvIO9CAt6FUoZDQZ/Vpk1LZXrDHxJXgXd/siZJfmrVu/+DTrAP5jAOcCANgBnbythk6ns36oLQmgFCSacB+IhyaP/0VV4I1THFNICv4Ba2gNLHemjxoKRfPoYdAvwSZoe9mtBgQCAi0ggBih4AgSK3SR3OcbxmwoiKSgzkOhBxDzPJaAqaBFcUBZYob7RNKaMJp/TFV/NjFC1OmTMk3G9JIei/BGRiEv9X8YJjdaqQ+t9D5DlAp18knCzltKObcmQqWZRpFCh/tIOxc6zBV3vWLVQAzg2jTTAoEm3o6TTgXE2lCSZen04G/vv5jQAoDhTHhrlzmzHP8+PH5NjLzSTlFU8/iRpjEtHBfNn5MKYaN2x8BxTj1uWi+aV3BimujPYYZk96XQLnGmsK1xrowBnMBZhgi4+EyRVjXN3VrU18JAa6H5YZmrqQZOwGGtYMGHMwFcC8wkW8wA5hRnBAiWOTqbRHA7ANjFW8dEdYxtd7B0lkxsLbm9J3HhXzSuToaX7Ne8+c8rjz1gAFVH1jaZ6U++7SerxO/WZpo4wkS5kFb2ieEqN8ZCmvNXJhXZ6LsLxeHSPfNGZZCSgvvJdhj1mx5L08WYutAOTD3m1DLotedEFzKdvdkYbUGm/Dl9qgMrxRp4E0gwcSLN29c98tRAPH2j/zqI5xyweLtAs9R+hLqCKD6bj3YqxTE6hvOYN9Qkttb4MGbwViOPPLI3C3zaX8ZE0GGNQZeKYHAY73BL/BGLjT1j30LduBR9vLU6Pg/RBAIQaYAOp4BgREGAQjRwXwEUNe8O0iL6URMvSOEtH40ofKwFiBEiI50xIaPNRcVzAfNGxdPxEl+DADmge81giPOOTcMSWHU3eQH8Ssn3bs++N3fgIGk5UKo1aFO75hM7wLmAHH0W0B4HFr3m5abAMAtwzti5OyK34MRwJ0rDD911hVtIc6lLefrEHiurCUO/MEXQ93U3jkjyCVKfaww7dy4Vert6xNzRYOo/w77c4vjhlPqwWjTOuoDOGKifBDSOnBuqATneEq664Sb6VzoSp2dfFqr+ocxwnhwLbYW2mmDu4ux6K/83rkJY0TMKSECLAqTRfjwzTDrU7w170pnlh7l+xIIwOqgkbc2nBl1INpvzKj9Zg1j0lkfMaryc2nkemYeCNLFawCj76wpIVO+Mi/ctzBQfelbf/LCLb5zA79Y2+BqTkpd+oShMz6/9RPseFkUeOor62fpu7ESANRhPsC+XqfzteaIZVSeEkp9zmdww2tVX8k70Cfmlrs5YdaclLbMm36o3zW+mF7jM3441Th5k0h3RsT8U4R4F8BKeRZN7/VAAHKdNBwIlurFhLcSeurluvttb3LDdP6Gm1e9HwRrrnuEFTiYiyClCiWS+syjdYcGeGepdoEMIVLflKWI4YYrXT/hbbRLujXOW0a89OEMhG3HDBx7gH9ZwuFGV9Lrl3iCnTze2wlomDkn7LrABS1tp1zk6RwEQpDpHCyjpoBARyFQVVX+3gDmmAYQc4MBpjXG3HDnQVQR0OJugEHyDQPMa8lPa42wIpquRsUcEXDUSUhikWD6J+SIo03kboPgecdAcQWpv3ODMtj+BloxTAuiWdpALGlrS50IpXMC5Z3lCTHDDQUAABAASURBVOMjPz97Z1XKO+uAcZa8A32yBmEkSj1+045jBhA+FpuS5um8hWtJMaPehaqqEoYErMr8iBcQ/VIfprrp1iBPp4LzIOYZw+f2MUxhvf/gZo4Jk7Tnxud7Otzn6gEjVtIJnPU0vwkInepzvR5uwdo2x67Cd1bCWqjnKb+Nj3bVPhCH6TJ2TLj94gwS4RHs7RtjZ/Goz48yGFaMGIYGc8ddSn19CVVVJcyg86SCMWB+ubPpC40v5pEGm+banBAO5DUGe9I+L20qJz8lAniXgEnuT/9Kve0+wRTusGfhEsxbYdTVAY/AEXCUsYKfMzz6Zr9jGs1F6bcnZQlFjPLezQeLj3dBm5hmsPJegvrkt+c8S1Aft7ySrxNPFuFjjjkmsTqUdjwJUXXBAtNOwUFoLsx9aZ+FjXBAeC1xrB72Pnxe4sqT5YfigfCEsbZu7GOwLHn68rR29ImCylis+Xp5+E269UehUb/IQPvoByuFMvaevhiPsUoXirLGOiaUWsPiuX5aC6xzyg93IFybD2PVT0Jq6RNhi/WaAqrE1Z8ur4JH63H2OGGNdZHQV18T9Xzxe/AgEILM4ME2ag4IDAgCVVUlRBmjUw8IQlW9fLiUebsQEI1hfGiXS37aUIeUyzsBBfNBQyaO+4Oza+r0XgJtcvntiXHwLEEb2utvYM0odZWnPulLqVPfaLPLO+avDg9jq7/TtpW8A31inouVS13e9Q+cEHJx9cAXnCbZdaMlvqqqZDz1+SlpvdVX8nXiaS4xi/pv3prMkLnAmDqLYf1YH2VO6k9j6S29E/1t1kF40v/SFxYua6GZz7s+1tOtHwwYoUU6xtgeUJc5kL9Zl3f7Crys+ya81NNuqKoqWUfWskBgHTNmTC5OeGKJWWmllZI29FW/tGk95Uy1P+qR3gyY/Kp6GR/Usnf8p7nnJlnat/fAszQEbpjYMlfWGmZdujVWytWfcFPJAx4sYvV9LE49VTXt+NqpT7udCIQKa6Heb7+tI/NW2pDP3Jln6wc8Spp5N9csNyVOunz1Okqap/rAQlvWdIGTtL4G86KeEvSnXgc4m1t9t568l3T4g1WMUFripMuvPvjC2i1pntYF/Czds7sxyjvUAdwJp+bUGOr4XL/hcdaaVv2C/4V6mr1qnCU00+t54/fgQCAEmcGBa9QaEAgIzEQQYM2imRuK6187DVbnRjCQtJGdrnu463Pup6qqxCo23H1pts/ywAWU8ItpbabPbO/OVTiXRnCZ0cZOy88K4ozFaBsbSwMmnUvt8PZ98FtniSHkjUR8MfijH70t9CrIMG9G2DkFDAIGsQZiDXS3BvhG82PvLn0kxzs3w+1nJPexv33jmsPdgxtUf+sYrHLccriKcVcZrDZGU71c1rj6jKY+t9tXLnVcsdrNP5LycW2GI0ZSnwarL84kcRscrPqj3oHzEHX3zCJ69SrIIAAza4hxfy4FDAIGsQZiDcQaiDUQayDWQKyBWAPDvQa48hUBpjx7FWTcJR5h8RQwCBjEGmhrDcReWTzgFHsl1kCsgVgDsQZiDXR6DbQ6K9arIFMknngGBAICAYGAQEAgIDAYEIg6AwIBgYBAQKA/EAhBpj9QizIBgYBAQCAgEBAICAQEAgLDB4FoOSAwFQIhyEwFQl/++0CXe9ZPO+209K9//Sv5qJUDYr4j4Xdf6mrmvf7665P79x0cbqaN1HcfyHNA04cJfSRtpPYz+hUQCAgEBAICAYGAQEAgIDBjQWBAggxG3hfDfTTMx7Dcze1jYm7n8PVoXxKfscCVko+RETQeeeSRZHzuJMfAu0rTe3/H6475f/zjH8ntQU8//XR/qxnycj4u5+Yd15wOeePRYEAgIBAQCAgEBAICAYGAwEwLgX4LMoSYSZMmJV9Z9qEuX4ImvJx44onJl7d9UMhzRoPsZpttllZbbbWuYTl45BYHX4IeyLcAfPTNHfpdFY+SH5tvvnmqf319lHQ7ujmkEIjGAgIBgYBAQCAgEBAICHQeAv0WZG644YZ0wAEHJB9J2mWXXZKPCOmej8K5F//JJ59Mu+++e3r++edFRwgIBAQCAgGBgEBAoF0IRL6AQEAgIBAQ6BUC/RJkuEBNmmqN+eMf/5i23377xCpRb2ns2LFZwLn22muTcx/33ntvOvzww5OPKt14441pww03TGuttVa6+eabu4oReL773e+mFVZYIXFPO/3009M///nP9PjjjycfNTv44IPTXXfdlbbeeutsEZk8eXLi0tVVwX9/PPHEE4l15Ktf/Wr63e9+l/Or0xkOVqSDDjoorbjiism5jvqZlgcffDB94hOfSEsttVTaZptt0pQpU7LrmGr1gXDGfW6DDTZId999t+gcHn300XTIIYfkUOrjJuYMzcorr5yWX375dMIJJyRnaxR46qmnsoD37ne/O73vfe9LPqL397//XVKv4dJLL81naMDx85//fHr/+9+fzIG6jzvuuKROY/MBq1Knubr44oszzJdccsnkLM+f/vSnrrZ+8YtfpI985COJAOp8zm9+85uc5qNDzv6Y3/PPPz+tvfba6Ygjjshp3Am/8IUvZFh99KMfTaWMRH059NBD07LLLps22WST3N9wOwOZwQncEK+55pr017/+dUANWBOTJk1KXCQHVFEUDggEBAICAYGAwDBBIJqd+SAwpj9Dxjxh7gkSiy666HRVODeywAILpFlmmSVdfvnlCTN9ySWXpDvvvDMLJcstt1wWUNZcc83029/+Nr300kuJoOJ53XXXpR133DFh1DHZzz77bHZVw4yfe+656VOf+lQiKBFUMM3Nxp955pnczkUXXZS+//3v5/yEEwf0Md8Y7C222CIde+yxSVvK64P2pWtTv/fcc8+kbYIHIeaFF15It9xyS9p5553zUzlBHoINZh485CNIGauxE+AOO+ywdMEFF2TBiAD1l7/8JWnnk5/8ZNKv2267TVU9BsIRFz6ue4RDMNBPjCdh6BWveEW6/fbb06677pr0l6ufCi+88MJ00kknZYEJTJxn0SdzYvz6sN9++6XJUwXD++67L62//vrpjjvuyJY0guDPfvazdP/992dBh6BGcNprr71SVVWJsPfxj388t6stgbAFHldeeWXae++9s/BJIJUWobMQMPeEf2fT3vCGN+TKCbDmkhBtneTI2h9KBYL6O97xjuwWap062zXXXHOlddddNx199NHJ/q4V6dhP++Oqq65K66yzTtLnz3zmM4k7ak8N2F/28SKLLDJdtiuuuCK95jWvSa9//etz4J4522yzJQL4dJkHGAE32Tvvec970lvf+tashIDTxLeq2pqnjIEfwdoes+fqeX/1q1+lj33sY+ntb397fj700EP15I7+pnAB7/nmmy8rkeCy7howT2BLUWKsSy+9dDrjjDPy5SbKPPDAA2nBBRfMMC+wB/dWcyT/YAZ9hcf01R6w7uFdSqtW7ZqvX/7yl2mVVVZJb37zm7OCh4LMHpBffbfeemv60Ic+lOfZmOBLe016hO4hwAsDbbCeF1544USZB96lBPpxzjnnZEUlfMOjAy0s6T09H3744ayALHSt5IW/0PRZZ501CXCLvCV9qJ72NtxpX6DN1gwc0E77cOACU/klytZmfvgc3wNPzD///F3KxGa+gb7rK9xMwWx/9FQfvPXqV796mv0P9pS8ypnz8847L733ve/Ne4gy9+c//3nm86QPd6BY5S0Eno4JtKKT9T7Kv9tuu6WSnzdSSYez8ZcFD3rChfPMM0/JMiqf8CEasN566yXjNwjzCg7wrHEKr33ta1PhPeWpB3XgHbfbbrvssbXiVAMCHrTgZun45q222iqh3YsttlhCM/HQ9Xra+T2mnUz9yePrmwQayIsl421ve1ui9WUtgMAwG1VVZQL561//OjPDr3rVq5JNyzqDyGDQIQXEFOOzxx57JIQKw2XjAWyzbz6+w9KhPYtVflYDSPazn/1sZtS9y8eyoI7LLrssM+6QIkacm5zNjCG3yAlt3OdsVsKXc0Gl3bFjx+bNWt5ZhFidtCH/Msssk4Uf/TdxLB+QBcEEU6H9dibOREMI6mB5wZQQhrzrI5i5iIBmfo455kgWDBgRfAgn8847b9IeAVEftI+hnTBhQkY4CMukSZPyLWw//OEPk/7Kb9EiDoQzzFjR/oOHBYzgm48y/qqqsqUMHAisBDWLvaTHszMQQODsB0Qcs6VWa8FatS7sKXH1QMjfd999E2ac0GruICbCjXxvectbssBK8LU+Uof/URhMnDgxKyq0iWk0BsqCVk1Jx5RAqC7XqOcxfhbfb37zmwlOEb73ve9lBtT+qOftxG8wxaSdeuqp2QqKaYGg4YhW9WMKwBDjRrHAiqqPJa/9Ye9hwNVhT7Jgmr+Sp1NP8KUcgo8oO1i19Z2iolUbGHv4hQKG4gKDdeCBB2bFDyJE8SLdeEqAIyg1WtU3mHHOYRIwje873/lOZmYpuzAYrdq1jihqKLJcVGKO4Db4U340AX0CH2OnkBEohKRH6B4CBEjeFGgPr4v9998/oaOlBIGT4oWHhbVnjljvzUHJ0+ppr/AGaO4NwoP1zFvAhUMCmk+QalXPYMZRVOIbeC9Yf5R4lIC9tUlp5IIfsGjmNW4eFHglLvzwHfrdzNeJd8wq5YZgj3dXJ5ibR3NY9r6nc7JFkMH/7LTTTlmBag/h4+CcKVOmdFftkMWjgc40440oLMwVXIbhbtUJ84NvxKfBe/CM89/ygxOecdttt+2iQWBh7fNkaVXfaImz16xLPHvp88NTlQn4QjylcQr2HL4UT1HylSe6g1+ES+FQPDeDQVFeaAM9xa/jPQk6+BG0s9TR7rNfggxJTNAIbYJnM9iEJppUXtJoJwtTq/OkeoRDXoMWuDRhyDDKFn8pS8gpv2lhZ5uqeS3vrZ7yV1U1TVJpGwMuQKY2JrcyyLS0T5uEiNOkQsSYecKByrjRsYz43Sqox2aZc845c7JyGCCSP8GOZkWbtFWk0ZypD3+0X2CvGKsUppQAA3Y2HCRC2GKxwZTQJMgr2Ig2nrzmrq45IMyMGzcuWbDGIb86wNtvAaIzJjDxDs6EVr8Fmk4ubBasRS4fBllahM5BAMFEMFZdddWuSquqSgsttFDWNtfXSMlAS4ZgQrT2HgRDWMCk2atVVWWhFnM4GESHC6Z+YTxmn332hNFBTCC70sf6034hlHANxYTX0/Qb47zDDjtkrboxEZzlgTA9Oxkwv/Y9HKZeAggY2kfem4FmlvXWXgBne8s+Lfm4myISxqBeDBg8iDiUPJ16ml9EGHMFL2266aaZ4WfVbtUGvAg/FtxNyKJYQnjgZgQHcQdzAW4jIHBRbVXfYMXBdYgiGBIKt5hqaYdz4KTucOscc8yRXFDCygRXbbTRRlnjaP3rJ8aL9QVx9k4BNHbs2OxB4D1C9xBA09Ede5bCgoIOPEsJDDmtq/0MD6BFrJrdzZVy6BuLLLdv7/VAGQLV8h/1AAAQAElEQVQPqsuapqSBW6zder6h+A3nWIe087wiqqpKcG1PbVPy8jSxFlvlIywYI0EbY0yx2CpfJ+Ks8dVXXz3BRT3VZ/+DsTHa+wIapJ+ELWUpZvAEYOLdXqKIpUz2PpyBohpPh/bAadarvlJetOqX/DfddFN2yYc74Qs8TckPRxKEwEEAQ3gcjmlV32iIoyQkfFrLxlz6bG2gt8ZmrAK63B3eh4fBi3KDQh9+tp+te3VaDxRgeH1KPLib0YNiXnpfQr8EGYwthteTFqbZIEZdZyAURK6Z7h0TgFEhXGCW/YasSLslQFDyDmaoqiqbxmi1TVJp22SRxmnqSO+F0LXTF0S9jsBNHEZIHRA8xL3llltmS0079fWUp6qqjHxYgErfPW1OzB4BB5IpdSD+tAmlf4S4kuZpsRKWzJ33ZgAP82sszTTvFj4kt88++2TLDKGJ8CMtQmcgwN0KI2zOIYt2a2WxMD+IljL2nN+0ShCMOFpF+5GG0XungvppwCFHe1691ig8QGiypsS1G9RBWKjnv/rqq7PbCgJVj+/Eb8jYPiKMwQtcrRBuAk2r+ilDSjyEbU/BL+IQCkIlLRbGWhxCbzyE06JEED/QAK40uZQZhCn1gTmGkqWL8kZcPSAm1hgCjSizWBPIWHaNA3PvWcpQlhhLEfJK/GA/rV9MEsa5qqrs7gruzf7V+wG/WXfi4HVKJ+OynsRRXtlTiCvcaGzGitBKH+4wktu3fkv/CMPcpWjqxVlPFBbWCOZHHAUXYYfiBIMsrh7QKnjI2mV5rqf5TQmCKbUneUrQFKtP2lAHwn5pk3UDsws/l7hWT9YkdJgg0EznivXTn/40n9eFM5vpw/Vu7sxHvX04a/z48QktEU+gtXcmTrW+wy8+V4EPpDiQPlzBfseX8tbh5aMfFOJ4PziuqZTqLr81jO+1pln/wERdgrVMgBO8j8ZAcEbXzGO9/3An/qHE4S0p57iflbj6E/8uf1W97KVDcccbSZx8YEQpht/wbl1ZQ/Cv976EfgkyGiB00CQwDUNakI54kz958uTsKsaMXNf40wpigCEtzAtGmzkS8TAYJj+EhUaMawwiqk5BXk/Bb/V4eq8HdetLPa38VkZeecQJFjKAspDQDmEiMF1cQhBFBJzgYYHKr271YBCMtdQn3m+TbTy0SLSFxsJUpl5j5LajXhtJeX1Rl7rVqw6/xftdD9oQL5+nNIyQ/FxXSns0CNpF6CEYYzEGQghmDAGwgEjJ3DL4z6sPEfCbVgEiLu15aksAKxoXC1i70gRjMB5j1Qa4QWSQhPzKRugMBGj67I0moumtdoyENVEXUq1JCBxzrTyGGoOB0fbeqQBHWF91JFVVVT5Hp33rJw3gn7WIkcHQVFU1gJpaF6V547oEydNIYlZorShzWpdI2SecRo8PMKEA0ZOXZQMRIFB4L8G8II5wRYkb6FN9mKU6sVUn5tycg733enjnO9+ZTj755HT22Wcn+AM+P/LII7NPfD2f3/AGrTLNmrUkbqhCVVUJDI2ltMmajOYQcEpcq6f16EwkOkSzWPqOycEYE+4Jr+bc3MHpreqJuGkhgHEFMwwLrwb0UA70HH2oz1VVVVn45BlgHclXD2gMpYG1BW/V0/yeMGFCQq/sMfNGS85C06ou+Qc72E/cu2mo8RNofHdtyktIo9CEc5v5uNKBFSEB42xNH3PMMfm8cTPvcL7Du3gdCssyR/gKih4XEMHH9ho3pZ5w5SCPIVePr7PWwDVH/PePd7SJwum/UfkBR8tfp1kS4Gn5MebeS7DuuFA5zlDwSUkbDU/9p9yy1ih3ynx213eu4hSf3M26yyMeHI866qhEkUq4h7PFo0mC34K9jG9lxfHel9BvQYYGCxPMnYMPuIXqnfmY3xtXiY033niavhi4NO4TGG+IyEKnuaGtxPAinDT6NgICQyMm0F4grJg4rhK0/PJAdPVGxBNICE3yE4y8Yw4IVg6q0XawmvD1lF8ffB+GIMX8hcCZIEKOCWUKh5SVV8YCRgD1l6VFIBzQCENeLCKYRlYdZwCk0VZVVZXPIIABZE9DXVVVgohtdhsfgrOY1G1hlbFZDIQgEw0BIrTSIXAuLNrTV7AjTHAxshCNRdltt9028T/EoNC42ry0+phWfrjmBLPCfE241D4GxlhpVBAofWGKJcAi9uqi4cAMgSPYgiuzLZ9H6fpL+6tshM5AACNsPbcigJ1oAdNGUOpEXUNVB/xgvVubg9Um4Z+bGMHdOQCBUqG79syRfS4/CyVXkZ7yd1fPcMRTRHAfY8WhfaQdbiVswg+I/UorrTQc3ZymTcwFvIxuFKvLNBlqLw5jU7hYN/AiJVBJRo8IL9YSa5axY4JKejy7hwB6gL5ihtB350Qwu92XaJ1CAEcHCUS94Tlrj0bdkyBRn8vWtQ9OLCEaT4JRI6Cg1/Z+szV4wRkt/JH91SodDSfAsAziZdy2SrjBM/QHns02OvVuzOaKxaVeJ0WCi4Qw9BQdeDaCbD3PjPbbuqPgQidG29jwki5xgRPhz976bw1S7uM/WV56yo+3xJ+CDR5bG8389gk+nxKdor+Z3tt7vwUZFTPh0xJA+hYshhYCI9g4SN6UZLliMCthbm1i+dSDqbbxaVRt3PFTzZTOeUBgBoixxqBj8m0GrgQYafU3GQPpNDjys0CYIGZfliNChjj1upWMXy2kQqJkPXCAV1vcCGhdSd4YfQwIH1V1IZAIH39zxF6cekwQQm8sm2yySTKWUo+yJtxYCSusWZCUdIeVSaksIDQW3k2mcahbGQEcMGoQoIXmXTwYEMIgTfVCKISxov21qfSFPzLTLvjqt7IItTRlCDuEUnCgRQMngpGzLkx+Bc7GQajTljjzCZbOAbHWICbmEiysCX6P6tVehM5AgIbd/PS1tu5criAi66jUR0tirZX3Tjztue7qsfbtm+7S24l32wnGqZ28/clDCQMPIM4UEWBpz1NidFcfXOHiDH2z1wk1BESMjr3RqhzlifRWaf2JA9f63Nbr0Ad9rMf5jeA4PwPPYMxY/spFH9LrgfICLKyhevxw/HadP3yE+TW2nvpAkUaTTIljDilu5KcYkwY3SofLzBthRnqEniGAZrgcwh7hJoKBRe/t8e5KojdVVU2TjE6CP5qMZgnmhkWUYF2njQrCLwRvdGe4hE4KO/udNYZy1N7B3OpfPRC24AQaauMSpHtXBh/lHd+CqbO38BCUkwRFfJD0kRAI+hS99b5giNF9PIJ1gE+kbCWQ1fMN9W+4EG1r1S56x7ulntbX/GgE/E0JXq9nNPx2/IHAYb/C9dakvceS6uwZQaQ+DmtQGj4WnOppzd/mHk4gK+BrKTeaeSjy8TWsMf2hfwMSZHTGJsMg01SyRLBC8OlsNTgTrKNuiiAoKKsOQX5+eRgFrhgsA1VV5W+lqLcEbg/ltydBQ/kSMNLiS4Aky29PmgKMvt/CuHHjclHEuPSNwAUxSqiqKtmIGBEToo+EA24HrFKe6hEQfmUsZv0gjDEzE5TEC8yuhArjV54QxI+YkMUqpR6BT7DNpYxgHM30qnoZ+Zt4yER7CC/BQxmBMMYCwyLj8gSWIfElgKdDitrUp8LYlPrEK1c0R/pkbghP4IHJAQMw0Q+uZOZPXyBfbetDaS+eA4cAi0l977Rbo/nFVBTrGmaABc36thbbrac/+TA1lBw0eKU8YRzysl4x2yW+r09WAe6U9nVfy7abn8APbnCbgNmlLKA57akOeM2eY5llMQB/e92YEYJ6Wa404nti+ur52/mtLhYGhKKen1bMPm7iT3kQGn2xp+VxZbx9zsItvQREiWUYs1XwZUkb6qfxIbb8tdvdG4QeOB8DynKvz5gtVnd0As7FHFM0YT6lR+gdAhRyBEG0nKLQOkEX0BbWu1IDZkg63FBVL9OykobeoKFoSglVVSV4oqqmzVvKoOHm0ryVuKF+YpT1ASNP2WTPN/uAD4KLy7g85UEnCeDGYd/CjeKFqqqSfQZnwtvihjvAZSya+Jd6XwgvcLI1QLlJ+QoHsprV8w31bzQOLkTz6m0TQNBUeLkeD6fJzwuoHt8qv3lhUUBLh3P91fvZl99VVeUzToRncLIm7TV14Gc968G+dQ6qKMXraa1+q5OCntKcQqKehxKdRxcDRJ1Xrufp7feY3jIMNN2msxAgMH73tA0mfaD1RvmAwMwKAZsdYmgi5AIPZl/7rrnPEFdIhPZZHi4BiCXmD+Iq5TG5GOry3oknIs2S56IJCFDfaBcREAiuqqqu7zZJq7epr63GU/K4158WHkxKXKefkDo8hvnSF0yZA+5+awti52ONadNfQo84v42HAIdhQ+gwK7RcXAS5QsnD/ZQ2mVWpqlozatrpa6B4oNzQJqFLW4QUVhfWV+nGpO+0cuonfEnXf+MD1/pY5REwMtaPNPWIG+oAtgRCGj/uzNrHQFrbfoMprbgxepdGaGFNNjb7AfOJgEsHJ/kRV+klzfqVPgLDiOiSeQA3jDu42QeYWYoygqU1xUsCsydefhY0AjLFgEGYF/NmjRKCuFLVA405TXHBF9ozn6U9eIviTD71DVXQX3yN/eC3tYXZxbwXRYH1BCdI4/VRH5ff+sqLxa2mGGieEGBlrxqfcdprFKnS5e900HdtedbrNi5zZi/V451pILQaZz2+4Ep9Vh+hjFeG3/V8Q/0bjqKUgM9Y9YyTAsTNuTx2pFu/5hIu9E6BbYzd5S9jABt1Wc/KlfjR8oTnKLStxRIoseFFZ88YK+pjIZQSUvEiJd6ehk+tdXFgYk+DpXc42J61FrxbD+QCsIcb7FtrRnn7RJ52w6ALMjpGm0VKJb0x5SOa7XYw8gUEAgLTQoCQQTuHCZ42JSWEjxsMhEJxQGgpebgmIJZcNmhAnNvg4gn5ljyIlrJcREpcp57aghhZM7TvPB2GxVi0AZFyK3XA1TtCQ0jhKw8Jcp/EYEsrAcPkfJYDliVuMJ4szjT4YIZpdtAfY4HQaQ9eg9/gOjBklSRAcDMxD8ZEU1mYEFZfTAsXGrBAPBAOlgD1dTIQNFhPua1yX/HETNGAaUecvjP9exePueQyzNWFNYr7FVc66SUgQhjPMn8lfqieCCcGw9zoH0t/CSwp+sFKg/njxiy/uTN2MGB54r9PeKR5lZ/F3C1SXIfNnTlz9rHUJ0+E6SGAQaFtZXl0uYyzHPam+SDEKMGKj2GynpyfLLAvzJC95AwmIUD+3gKrhnXtgL9zOfgKjGpv5Tqdbg9YMzwmrC/jp5jAoBUFkTXKwmQ9ttO+NQkXwJHqdH6Vpad4fbRTR1/yuAxIvwks8BU6UspzMyWQohslzpNCCj4rwpo4gQcH6zt3c2WcxaUEgu+kD2cg6FqT3/jGN/LhcziPV06hd2Dt6IIzdPopP+8SblbwJLxhnVP+SS+B8AMfmqMSNyM/ndP2Hbr6GAly9q99ThhBu9F8ClQ8CYs+gYjSkRDDms/9EB9j6tJDMAAAEABJREFUrZgXwV4By3rdvf0edEGG9OsMhYsABExMQVy9dS7SAwIBgekhgHhgKjELNEglB+SA4cdY+hApwYVWvaTTFCH8kDYmgysWhs0eLXkw51VVJS6RJa5TT0wMNyVuk+p0KQTBym+BKyLEByF6Nx6KEMINQiKuaHf8FuTB0JQ6xQ1GwOgSODAXBD2uL4iaeO1xUaJFJVTRQBNs9ItWimke3BFFeUvAIGCqCWyIJStNSev0E4OJGTfv5l9fSxtcQ8GXlk2cc3AYKIQKQbLeWNMIN9JLEI9p8SxxQ/k099auNYQZ4QpXAs29vnBpsua4HrK2mBMMpzmxN6wtH/QtzDatoHkgiEpXhzORTfcZ8RH+BwH7wZoiEDujYg0RzLlfllx+swKywsJFNL3WWEknOGMi4aASV3+qH0Nd4ggKXKDNkzoxQHBMSR+qJyWt/WMfwcfWELxa7yvBBNNGYGjVL/utaKqlwyHWLQUNfEPZ5OyCuqV3OsCz5gdMWVi8lzYw7Rh+jGmJ82RhJlg1YU7R5gwQBQKNPFc5wgy6pNxwB+vMh0XhQky1dVX6ZD0RGgnGJQ7exMPKD3/U85c88Af3fdanEjfan9YvPNpqzZl3e70+RvOMzsjPWofesbRwT7aG0Q/CLJwNd8MB6D38W/C2J9zLc6Fed2+/B12Q6a0DM0t6jDMg0EkIYMAwcLTKpd6qqhK/ZMhHwEhADCXdE6LFyGKsWQWYzcULkAs3HVaTJpKS3olAieEcHWaSUMANodQLoTFXC+IwntxIjEWgrUFkpZWgPCYTM1HiBusJIWPc9QVCrvtUY6Qxb/qifUyNfM7DYQQweuLrAbOCIMhDo9tkCOp5B/pb3WBJYMI8co0rdVozmBjCWInTX/NkDNZZEdhKuidiQ8vs93AE7l7grY/NgPHTJ3NGS1o09frM8ic/Qd46x4TIWwJCTLMoD+YYc43olvR4toYAoRzMMO32A4alnhMMrSPwZ4kFV3NY8sBprjmnzS9x9ady9TTrWXsYH4oMuKCefyh/O9yvL5QxmOP6/tIPOBcjb8zem0FZjGM93h50hlZaqzrreQf6G/y0U8IyyyzTVSVcxurCEtEVOfWHfWX/TP053X/4xLyoj2Ua3p8u0zBFWCfWGlwIN9dph/HAGeBeutdT/pLH+ODw8j4jPM2hPd3cx8Zmbou10bvg7Bd+A42mRPWOpuBD4ARCYuE34AKCjjmwRuqBcKO+voQQZPoCrcgbEBghEMAA0Gjy7+VLTQgZSNdYBWhR1EdgoLEeSH39Ket6c8SRgPPf8qPmwYUC8wJxj5pO/7ejvn3AHQ7B+W/UDPNwqxoLHy3sDDOoGXQgXE8IxpigGW2IXEgxeATv0TY2ln/0gGJjtPW9r/11CxvrQTlv19fyM3N+vINzmNx4Kc6GEhYhyAwltKOtgEAHIUCrQWPsYFzdFaA/TXABIMjQnCBa/aljoGUw0qwDA61nOMrTOvL/HY62B9omTStr2EDrGYnlaVi5SQ41YR1eWIzO1llpmlaJ0TmS6XtN48zaNH3KyI9xdgmOGPk9HXgPufKxng28ppmvBu6dPBV4Ggz16EOQGWqIR3sBgQ5CgKuYw9ytzL99aYYZmE9z01zclzoib0AgIBAQCAgEBEYlBKLToxYCIciM2qmLjgcEAgIBgYBAQCAgEBAICAQEZl4IhCAzfHMfLQcEAgIBgYBAQCAgEBAICAQEAgL9hMCIFGT4/Lum0L3m7p92B7nDyP0c44gu5tsGDqS6tnVGHeOInoDo3CiDQHQ3IBAQCAgEBAICAYGAwMsQ6Jcgc8899yTfSXC/dj34rkL9A3wvN9G3v5j56667Ll100UXpiSeeSD5I5l5vh5H7VtPoyE1o8xE939dxT/no6HX0MiAQEAgIBARGDQSiowGBgEBAYAaFQL8EGbcTuH/bR4POPffc5H5330PwTQt381944YX9BpdrQH1d1cd13GKEwffxIoea+13pCCrIAnPrrbemhx9+OPfKHeW+6eFDYX7nyPgTEAgIBAQCAgGBgEBAICAwbBCIhkcHBPolyLzuda9LbjjyoSRXtfrugw9C/ehHP0r33XdfOvHEE9Nf/vKXfkHgueeeSxh9H8Orqir5KNT888+ffDejXxWOsEJ//OMfs7XpH//4R+5ZVVXJx6Z8fKiqqhwXfwICAYGAQEAgIBAQCAgEBAICAYGeIdAvQaa7Kn2101e5CTFPPfVUzvb4449nxv28885Ld9xxR+I+xZ3KuZfLLrssYey5kl1//fXp3nvvTRdccEGOu+mmm5IPMfk4EXezBx54ILH4sAARdMp3M1hw1DtlypT0yCOPJNYg7m0+zqP+P//5z4krnPavueaaRIDQJ9Yk7mvduawZw80335wE/VKvvD48+Ic//CGpm0vYL37xi6SPBnvjjTfmPvso0N/+9rcEBsagLfUZ61FHHZXOPPPMdPHFFydfUdf/KVP7Lvz73/9O5d2Y1Ksu/VRWGwIYKusM0fnnn59++9vfJpYeafWgLmeN7rzzzgzTSy+9NMn/4IMPJjAFC+lgbT6M0XjVYYyXXHJJAu9f/vKXqcBbWqvgGyTmzpkmH9gDd3Nq/FdffXUeFxh4Nx5j07650ab2lXdWyFjuv//+vBbkr4e///3veazWg/zm1XyDSb0+Fi9jNYZ6+WeffTZ331oQr285Iv4EBAICAYGAQEAgIBAQCAiMKggMWJDBdLKiYNy5hGGq3/3ud6d55pknW2ecm8E4+2LqTjvtlAUN+Qkln/jEJ9IPf/jD5KvYXMgwuk8++WQi6GA4MdOYUwyxejDdmPKDDjooyf/CCy8kDPSxxx6bvvzlLydMK0Hh9NNPz0IPlzeMOMb6jDPOSD72h/kngEyePDlx6fr6178+3YRhivX5U5/6VDr44IMTZvmAAw5I4jDIhx9+eMLc+2K08zuHHHJIPs/zzDPPpJNPPjmfH3K+R9+1zUVO370TSDwx+uCgPmM7/vjjs5Dn/eijj04TJ05M+mnshx56aBKnHNhcfvnleXzawMz7Cq36mwMBm0mTJuUxsJKB8+c+97kkv77rgznjumeMvj78rW99K0kjbBEWbrvttmTs4Ej4abbh3Tx94xvfSHfddVcuq78EM8LKd7/73XTggQemP/3pT1mINEe+sq1uc62dL3zhC4kApO0TTjghEWb222+/XB8hUvvgYbz6cMMNN2SBUbsEvd122y3PhzbM81577dVVn/WgjW222SaBG/jpM+HHvDz22GNeI4xmCETfAwIBgYBAQCAgEBCYKSEwYEGG8OFrniussELC4GMY99577+QDffvss08Sv+OOOybCBzc0DClm8m1ve1vW0s8999xZCCFQrLjiilnY8HE+rmoYXi5lxxxzTFp66aUTJlyda6+9dm4L8648VzfWB/GEGIy6r+gSdLhsbbXVVgmDTHDA+G+++eZp//33T5tuumkWCJozr82llloqseq8+OKLafvtt08EINYmjDGBQht77rln2mOPPbIgxtqx1lprpY9+9KNd1embsiXC2aI11lgjGfvWW2+dYeM3S5Z25PMOdiw/6tt1111znQQacMP8Y97HjRuXMOKEAAIU64J0dZTAJU+bxrHqqqtmmBEsWLQIDuD81re+NREazdMpp5ySCIRnnXVWeuMb35h8aRm8CaZf/epXsyBS6q4/CUxcCl38YI623Xbb7C7nHJWzUyWvsRFeyzuXutK+uf/e976XvvjFL2Yr0Ctf+coscBFKnLuaY4458njBnhC87LLLph122CFJn3322dN3vvOd5FwVV0Tj4fpIiCNYfuUrX0m+GL3YYoulOeecM/lH0AZbdXuPEBAICAQEZiYIxFgDAgGBgMCMAIExAx0ExpFwwEWIlpulBAPNsoD5xgxjYMeOHZuk06iz3pSD7QsvvHA+B4OxHDNm+u7Q6nOzWnDBBRPmdtZZZ02rrbZamm+++bLFQj3iMcSYVIILAeL1r399Up/fmGBMs3dCgz5L10/CDQtEHQ5VVSVCV1VVSR4Msv6LIzAQaAgbzvEsueSSiZBwxRVXJMKI/tTr0rf6e/O3/ASnEl/eXW5gTIS0eeedN7361a9OhBuCDBgT2ozDOSUCHesK2JZ6PPVX0Hf9BAPnmcaPH59c+Qwe2ptjqpCgLfOkPYIOQc2cKEsg0K72CYzaKsGYCQngYa5vv/32RHgh/OhDc/zNsWqf0GQs2iN4gSvhrKqqfDbKHKpffawuXNMIocazzDLLJG5irDPaEur1gR2hlHWOMM2qxorINZCFEAzUGyEgEBAICAQEAgIBgYBADxCIpBEIgeklhw51knsWxte5C0xwCYQbDGi7zWDOCTM08aUMxhujX2eKS9pgPzHYmPnSDsGKEID5rqrBP6wPHoQEcCww9WRJaQceGP0Cu6qavr/mzNyxzqi3BGdyCEXc4AiSJXAVYxEpwpV+EIK4lqmrwKndJ3iyVhGQuLpxfXOGhiBC6DB+64cFrPTNk9ucOeiuHZYxAqn+E2LGjh2bWKS6yx/xAYGAQEAgIBAQCAgEBAICIxsCAxZkMJaYzuYwMfe0+6eddlrC/Jd0B7BpxMt7b0+WCAwnTT8GW34Hz7XLHcr7UIYlllgiYdIJV9rlzqU/4lsJEg6ny9fv0CjIogTeLhkocHR5AQsLmDSy51eClzJePLkDLrTQQtliJa4eCCvmjuWpzBu4OxSvPW56LDQlrLTSSumhhx7KboLbbbddvrGOlUX5Vv3h7ldvr9VvMCMoETy4iXH/2mijjVJVVdllEZy5l5X6WficmynvrepkpeG+6EyW80Jcz6pqekGuVdmICwgEBAICAYGAQEAgIBAQGHkQ6Lcg40YuzDMmnutXc2hct5yVcfiaNpx23fkJ2nuBIIDxdLC7XtZ5DnU72E1IoH13psUZCMw7Rth5FecduFXJ89e//jXf3IVBL3VxbcOAu8lMnDSMuMPdGGVxznWU8t7rQX79Y4koDL10ZzImT56cXDWtLAZfXu5UGGz94qpG6+9mMm5QGG2wMi6uTvqkjlNPPTVfbCDduPVPm4QN5068CywO3MfAjPsX4cEBeGd0nHlxDoSwp319bAYXJDi0z0KiXeNZd911EwuGPoE1uEg3b9LcwMZ9y7xxydIvFhGuds6nlEDYcIEBS4wxspax+oCNfiy66KL5NjoH7cGDJcV8cTM0Hu0TxAT5BX08++yzE6uTfNYIAVh+LmjOBxm3s1knnXRS+trXvpbdE/VPHnUJ6qqH9ddfP59LImiZp3pa/J6xIBCjCQgEBAICAYGAQEBgxodAvwQZh81XWWWV/FFHDCvGF2PfBJdD/jT3bqhyI5UD+A6AO09CO86NyK1ghBRluTNhNrmRYU6djWAhcKsWIchFAiwJzkM4rM9F6ogjjshnZQgPmGv1ECK4N2FYlXNQ3fkNjLqrhp2N2HjjjfMhfUKNA+au+1VWwJgTvvx29sehcAy3d6s/l/UAABAASURBVOW4J2Hw9Y/rk/ox7NIxyKwWxuVaadaE5ZZbLgswBLh3vetdmZnmCrX66qunww47LF+JTNjgUgUurBmEQ+eAwHXfffdNzvI4D8L6QYhxsN6hfEIM64J6Uzf/nD1xKxpLi/wOv3NP4w6mfWP7yEc+ksCCMGCMLlggYLmBjFXsQx/6UEsLjiYJUIQiZ28WWWSRbJ0Bd3HacQGC+XLT22abbZac0yGQgYFb35y3+fCHP9x1mYC1BY7WiTG6RMINcwQr68F8fOlLX0qEM2nGbm1ZY25PI/htsMEG+Zpm/SvBeiAUf/CDH8wXA5T4eAYEAgIBgYBAChAEBAICAYFRB4Ex/ekxhpWmHANaAga1VV2YT25hBIJyYxUGnvZeWZYI1xwryzVJXD2IZyXYbbfd8lXLLAeEF0KENLegNfO78YwlRTzrh6t8XR/sXWAJqb+zFDiwrj4Bw3/eeecleQX5WTyksTZssskmieAhjSBThBjphCvMOSsHgQFD7hwJYQ9jz6JAUCEMss4QgtQjsDTV38WxOniWgGl3qQHhSxuEAzehabu7wIriNjcH5X3ThmAlL4Gu1OvJbU28QBBglQE/gpQ5EN8qECIIo+o3P367dEFecHM9NuGT1YYwpg9uZNtll126YKx9ggZrjTGxNrnKW7zAIkXAVSdhxo1thE/XM4OReXHLnbwlgLf8JShv3oytxMUzIBAQCAgEBAICAYGAQP8gEKWGGwJjhrsD0f7gQgBTz/WNdWVwW+pM7QQhgh5rFisbax6hlGtaEXj70hJLlmudWXBcVU3AYunqSx2RNyAQEAgIBAQCAgGBgEBAYORBIASZkTcnvfao3QysWKxDhAIWEIf+2y07XPlcvzxhwoR05ZVXJldMczU8+uijE/c47m997Rd3QpczsEipm9Wvr3VE/oBAQCAgEBAICAQEAgIBgZEHgRBkRt6cdKxHBADuXgQYLljlWywda2AQKnLTHRdEH+zkWsYa42A/d0ZndfraJJc4Z5pc/uCslfr7WkfknyEgEIMICAQEAgIBgYBAQGAGg0AIMjPYhMZwAgIBgYBAQCAg0BkIRC0BgYBAQGBkQyAEmZE9P9G7gEBAICAQEAgIBAQCAgGB0QKB6OeQQiAEmSEFdzQWEAgIBAQCAgGBgEBAICAQEAgIdAICM4Qg40OZ73nPe5IrejsBlGYd11xzTVp66aXzRzebaSPkPboxk0LALW+uD3/mmWcyBFwx7bdvAz3//PPp3//+d44vf1x+4MyUdOHpp5/O3+9xlbfv8PgGjzwlf6efvjvlBj1t61+7bcn37LPP5r7W+/TCCy8kYxD8lq+eHr9fhgC4l3XhJr/mung517R/X3rppfxNKGtq2pSU1Gc+zKN6W+VplhnMd+3rSwm+idVde8YOBvIawz//+c+WWa0la0oeeVtmisguCDTnAMyEVvCVFx6wb1ull0rNwYsvvpissRJXntLgEHVIV2dJG45n6acx+4yA/dNOP4zfejSO+rqtr1N1Wof2XTt19jcPmOqLdd9OHT3lNxb9LmG456eMR5/Luml3nswlummOSz2e5si8lDGWp7mUPtoC2JR5s6ea4wW3Msb6s6d1CUb1vGDeCi7qgBPkb5XeU9wMIcj47otbuRzs7mmw7aYBeh3YvlnjBq3RcFi+3TFGvtEPAddT+2DqkksumeaYY44ECfigqo+L+hCpbzj5hhEkXEbrKm4fK11iiSWS4BIFgroPlPqQq6uq77vvvgShlTKdeuqH2+N8v8jNdJ4333xzW9XLZ0wXXnhhV37fOHKltr3v+0q+I+SGuq4Mvf6YOTLAZYTUDTfcML3vfe9L1sdPfvKTHgdvLV122WU571lnnTVNXoTu29/+dvrkJz+Zdthhh/z0/Stlpsk4hC8nnHBCXs/WtGCdtWoeM3XRRRcl36nafvvt08c//vFkLM2+Yy7tnT322CNZq8baqr6I+x8EfD9shRVWSKuuumoOH/jAB9JSSy2V4JeSCw7wDTnX4btOH2x926uk15/ywnGHHHJIGjt2bD0p/6a4PPjgg5Pvuq200krpsMMOyzgwJw7xH8ysb9pZJ/aEtWUN9iQQYNgeeuih5Lt4votmLZ5//vldPfeNPd9Is54FN3i6tKcrwyD88LmD9dZbL8EX7VQv/4c+9KF03HHHTZMdU1qnM3C379JNk2mYXm644Yakb24w3XbbbdMZZ5zRY08IdpMnT04f/ehH00knnTRNXmsZb1jWvKexrrLKKtPkGw0v1iP6ecABByQXLgnWtHWo/4SYvfbaK6288sp5fxvr+9///uQ2WOtYnlbBrbnWbwlwajOf9eKbjBtttFFyQVUzvbf3GUKQ8THLQw89NPlGSG8D7i3dZCLgt912W1fWRRZZJCNJzF5XZPwICAwjBBBOgsC4ceMyItGVH/7wh2n22WdPhJkTTzwxPf7448lHWQsiIpwQUnykFdMhuNluxRVXVDwLQ8suu2wiHA2GRsmHTidNmpR23HHHhDlmRfWRVAJJ7kA3fx588MF06aWXTofgMK8+xoqIYqQxAUcddVRCeLqpaqaMhs8w5hg9sPLxWIy8j9R2BxCE5RWveEXy0Vll6/ngRgQdE0kgciugDwxPnkrs6/mG6jciaizWcwndfaAZobY3ttlmm6Tv++yzTzr77LOTtVP6SwuJkdt///0TJYH95NtWJX2mf7YAAOXfLLPMkk4++eRkjwtf+9rX0hprrJHmn3/+XAJt5T2x6667ZksxZhKzbw/nDI0/8NWYMWMSZrkpaMpKACLEUL6oy9zDMdKGOpx33nnJ2rK/rCt4TX/cvNldX+ytvffeOxHWMNVgtvnmm3dlxySvttpqST0CgW7RRRftSu/0Dxp4nz3Qn3bqLvnNTzP/7bffnuadd96uvsPVhc408w7l+6OPPpoI0WjgaaedlgWab3zjG+nqq6/uthtw4ayzzprQzjoupBRRHxxi7kogwBOQuq1whCbw7kAj8ABwIrxOcAYfXZZOUVHf4z7xgQdZeOGFZZkuoMVuoLV+S9hvv/2my2cv2ENw73SJbUTMEIJMG+NsOwtpEKHzIcm2C0XGgMAQQwDShEi5PJamrdmdd9450ZLQkh199NEJg/HHP/4xZ6HhFPezn/0s0a7QzENC5Urqqqoy40bTedNNN+UynfwzceLE9Ja3vCXRnrpKe8KECdld89prr+22mYII11133WnyGBPkSYsJuW699dZp9913T4SiVkxPmkn/mefZZpst0RBjJNZcc81sjWBVQZi6A8sb3/jG7E5LMG7mAXtuFkWxQ4FEOKoT+WaZwXq3BxDWCy64IGFsCcfWNQtls00MibWGKbFvMMnLL798XvMHHXRQV3YMDiGNcEzoxjzK25UhfkwHATiEcEhLSzARrDteEtaHAhQqmBiM3oEHHpisxze84Q2SWgaC9IILLtglCDUzwXGYLh84JgjAb9ZDM99QvBNYrJGyX1iiCG761F37tNv2Dbw4bqpCas455+zKSkgQj8EGR2uaJhxMujJ18Aeh8frrr0/wcpmvnqqXn6b9Na95Tf7GWz0vnI3Bveqqq7JSiTC7wQYbpFe96lX1bMPymzUWfWMBszY/+MEPJngMrLvrEFyyzDLLJM96HnNhTozNehcWWmihLPDwhqjn9XukB5+68JkK+9Oao4Cwx1hKCLf2GQWRfWusAg8PlsLuxsaDgmLUOl5ggQWyhd+znh+9ZohgCYRH6mnt/u63IGODMhkb9FxzzZXNbvfcc09C5DBSNigNjW+A0GwBjI7qmIVO2vORQ4yNeNoMabR6Fj7gMfnZVBYRTQtNINcIyA2xQZgQ5FNOOSUx5xFC6u8FcWqHxgbx1QZNNfMWlzF9ZwqWV9rGG2+c9GHbqSZHiAUjgFByXTFp8hg7zRKTov7bDLQwkKg2aCvld+6AtK59TJa+KU/KtSCUtRH0pdQtPUJAoCcIEFisf2ZYxLPk/eIXvzgNsYBoEA/ESR5Iyjq74447kvVNAGDtQJSkC5A15oJ2xHunAgvPFVdckZlGuEG9cIK2aB5baWIwAsoUplqZEriTYs7L+OEazAMm1ZhLvpn9idGAX9/0pjdlUFRVlS143GT7SzTgYHC3/hA/hGr11VdP/flgbe7UAP4408U6aU+wnMDJBHU4ulkteiE/HF3WPGZk7Nixyd4g9NO6oicYRwQbrRJK/mad8f4yBOw5jOHLby//veuuuxK3z4J/Jk2alBUoGD+00rwNRPiFO8yLujDNhJrx48e/3PgQ/91iiy0SHgVDzDpY3HMIzK26An/fcsstmW+yR+HHOg7kSqvc5MmTE3jBddauuMEI1j9XShaugp97auehhx5KLL3crZr58YHwMDqj39zjelKa9NROJ9PAFw9pv4O5utENwoe5wK+JazfAgXCoOkoZyhTKIu5WJW60PAnP5gme1OeqeplWeMcnmFM0W5qAl8BLN5WM0gR4Fl+NjuOJ8fUs3eZBuqBu1ktWWoKSuP6EfgsyJNtTTz01MRsxI+rQLrvskiAXZnj+9gQFjDoEw5yHQOjk1VdfnbjBkOhvvfVWUYnkBqlZFADEj9FiYOKyWLiM0BIDiM1GQCLJyQ+RWYQAVn93CJq0yFymnxaxfiK8NCjMWfLw3SyIQ7+4kumrfqgP4NUPaWoDc8VsTmvHtFi0wdwTEMaSH4wQe3nBhLDGZxZCJ+xBeCaxvjgyMDryJyqZUSGA6Dj3QFjuaYz2J9cEZnT5IGxrlyB95JFHJuubVrBOIDEdhAT7QplOBX3uri5jsfeb6fYnBEq5YB820+vvylMmbLnllokCop4Wv/8HAfiLEgZMWRr+l9L+L8qlM888M8GJ66yzTj4D4axS+zV0Lqe+HHPMMQkuhWO9HzhV288y12wFs81PG7MB36MbmGnrH1womjDfaANrH7dMcMKsoT3N+uK9ewhQAGLCKVNKLrSV8g5uoUjB8GFsCIolT1+flCDcsygGCdLmtK91dCI/F8TDDz88n7ewJygKKEi7q5tlHK8EF7MOsGSxVlmLyoANwchahaO5bhLU8RbSOxnsY+5D++67b2qHF8G8UkRTnLXKz8rJRY3LGU07ZQdPAYxtJ/vd17q0T2BsVc7+x8i3Sms3jvLEmudx0G6ZkZSPBcZ8UmLav3hVawPP3GqPUvrgFSg/W43DHkAX8MjgQuCx7vH/8qPZeGbKB5Z0cf0N/RJkDJIwoIOQPUEBIWGhwXgUYrL44osnfvwWvk1t0DoqvmwC5kyLy6AIChACiwsE6MCUAVoY0ggMmDfCUSmDOBF4CBDqrr/TzhEY1EMKV4YUrTwrCAsOAmU8Jkv5ZiCF1uu3GUy0ftC2SN9iqjaG1YhQ4r3kh9Bo9cZNNRtbJNrHkIEDBIxo6gvYmPRm2/EeEGgFAUwaIZ7Q0SpdnH1IcGbityfElcAKSelAmGFml6+keTK10077PVzB3oRjMJIIfm/9gBztK8wt1jSXAAAQAElEQVRMb3l7TJ/BE+FszBLGYiBDRfDMDeJEMKJogkcHUudAy8K3aBFagVlu1gf3owmYXoq1z3/+8/k8GIbRnrB+CDFwMe0h2kYZYJ+BF0GnWWe8t4bA5Zdfnl3CnJOQAw8Ab7HmwT3OyHHbc6YE/OXpT8DYU1xQ2BAEzjnnnISh7E9dAy0Db3Jx8yTo8yhpJVixHsK5eBsCnTM+hHEwgfPq/aelZt0xNhYT63Og/ayXp0QiJOFBrP96Wqvf8uN/2snPkm6uJ06cmOxHVo9Wdc4ocbyRCEO8g0bjmPC0n/3sZ5O1y4OJwt3ZVDwvXrc+JmsUD2t/MzTU01r9Zszgqqse9cPRd999d7Ke7N1WZfoS1y9BhnSGGCIKTIeCcyUsHsX/jeBAg0BQYWqsm50NHgKyGRAHmuJmp5krq6rqii6CigjCAKEAML13FwgV0tRVyiNm2mNF4hctj77K107Qb0Kbyauql/tHIjVBNMj1OhB779rX5/KbqZXg44YTyJzkW/LKEyEg0BMEaJGtw+7yIJQIOgLS09rG+C233HIJ8q3XZb3aJ/W4gf5G1LqrAyNiH9bTjz/++IS4u2nL3hKMmQICXoE3Sn74hfaPRrEdoaeUm9me8AymkbaXxaG/44fnwBqxo4WmYIL/adf6W2cnylVVlc/10PBhKlrViVkjxLC4w73cfu2XnXbaKWe37p1zAB84mQLKGqQ55yeeM8Wf6SDQjCDYbrTRRl3R6B8ajDGHC8DWOjQfFHo04l2Z+/CDwpP7Ng8NCkPKVPxJH6roSFbCPO8R+AkDyPLHymFszQasMXEUvsYPFvoOF3PHaioEKKJYbXi4NHG1egYSCJy05Dxo4FiBkGX+WLfxOvX6uZMZlzR5BX2mFFNHc9+Zcx40lNeUU/W6hvo3OFJKtGrXnJiLVmntxrFQoJ3FjbfdciMlHwUOXp5AzdWL8AE32qf2bb2fhBs4kbeHvV1P6+43XEv5RUlqjduzeBTGBuvILYbkBYKNvdRdPa3i+yXImCyLAvJhQSGBChaJwWmI2wpti01Nk4CxIngIzr/wEXVjCWuGASozFAExtxFprF27iUj1hfmpqipVVZVvUqlbcWzYdjYCSRTjBjFBCsZuAgvchgIG0cbohgAmi/Bs/zVHYn1z04QMrK1mev0d8qZ4gIzq8faotHrcQH9jCLkyWeel37SVNLUssHBKvQ1WVGfrINYSIEzjcrbHb/nhGQe4uZBiQMVFmB4C5pT1meUbwzSQ+bW+rDOMFQUVy4YzJT//+c+nb3iIY4wLHXJmp7um7R2MlTWJkYP/4WM43Jgwi4TmUh5jgt41he2SHs9pIUDQ5UrqfExJQRutFYwuGigeTM3FQOFq3riscQG0zkv92hiqwH3cOoKDjJUbHc8MblXNPlhPrDYsVAUXymMMYGINe68H+BE+d0NrPX6gv+F+wlfBsZ6sk3CEszn2Ur0N+d14KF8J9fyEsnp+v/Wd4pfLmffhCvpAwGTVKrwb+BM28bHmpb99U596zI813WY9Iy6b+cZfwI+U/awmjlAUels6zJLCug+eJa63Z1VVyV5Hq60JZzedHafQt5YYRuBfQrI+9FZfPX1M/aXd3zQqXKZsXoKKwTrrwkRJsiJ5OyCvk6RxnSTUOBODkGJmbFaSGWCw7tAyQ3IQEY0KjatFBikpQ4LzW0BELZwShyGSl7uNMfgtlHfl5UeglGESg/y807JpT19InybMQTB9oumVv9Rv8iAqbgcIYPGzprWAsFh4tG8M2pffu/LaZ0VSH2kTU6Eud3VDYPoib4SAQG8QQCitUWu3ntca4s5QVVW+fQZDYV0S2q1Ja855MHvLHrKGIXfEqdRj3dIsQWQlrlNPmj/EG4K0Dyg0KEDsJ22wFji0az8SWGj868GehQSlIfgOnDJTYwpoiIwXLuLXq74IL0MA3sFYOXeImQAnobh6gKNbv5pwg7cw9J7w7su1pUQ7pww8Cq/B3QggwaDkGaqnw6T8r619a9yZAgwzOqQP8DhFmj3gXbD20CDf7yjaZzRNGjdmAjclm32ChtgzXBYxKfJE6BkCLlvA7DZz2cv2uLUnjVsrxtdlOfgB/AFYw03SBXNqHvyux5tDikD4RB70G66j3YXT5B/KwE0MI+uwNByKl6GwLOsKrwDfFp6AMhUcjFf/rU9lMXM042BoLeNdlKElZ7UhNHRyXBhR1khzUwKBiSKJ5wgeBR/kjDH+CMPfzA//OuNDKS2/eYRrzJd5claYVr8n74BOjqmnuvCj8Be+FW4Df2uHBUo56wnsKdi8lwAHGo+n+S3x5akuXgGUbCVuND6ND04FH261LO4u0WmOhfXdXivrWzq6zSJa6AolI5dvsEQ/0Axr3hpHv9HysuY84VhKTYKN/aTOdkO/BBmV8+3kD8on2cI2aBKWTeewpY0HKCbdE5KRz4FMblUIiYNAFj3pDEExYGdnCEVM/xYULR8EgAmTXxq3E4SLewOgsaxol4lZuvuqvTsEaBMde+yxCdIkTJkA5mj10vgCLKbQxkO0aFVMEIaQXydBq9Tn0B2hhXnMta8EFyY497tbwCYCM8DNQvv6qx3ta8eTEKMvTGrOL0BokMOQMAEmLsKohwBNnzUMCZfBYCYxD/yp7QfIwB79zGc+k1gs7EPr2Z61L/hlI7aUDJBKqQcywvxZyyWuU0+EmJbPQVFafP335GKhDWcS9JebhveeAqLBNQgz6kCpsQpwANzSU9mZKc264KJnbRBWwKgEzAlYsLCwSICjd4GJHyzhP7gQ3hQvsHZgcuBfBAgehUNZlqUPZcBkwaP6D79iJlmHCDP6QWiWbs17Ny5rjCsMQmv9UMpVVSU5YbbkRY/ks58otzxzhvjTIwTgDy7mPB2aGbke8cO3z9FNtNmVzQRHecHYeir7Fw1Fe9FQjJB1RpsuLwGaiyA8J57giSnHTFN4yDOUwfrDhMFnxkaLzTWHkKYfzgfIg5fxDj72kMsO5MebWLf2lnQ4HI9hjHimqqoSF05pQx0wtXAtnqydtp2hMdf4H/OCV4NL2ik72Hl4IFgvaCG4U7hbQ3g+bROOy7ke7wLe07yyMrpQhneR+HqAJ63X0azssLfARkCb4XdWTvx5fax+m2PCqd8lgIGy4IpPxgvb6+gCo4eLhggx+JdSplPPfgsyTEAOtyNwNh0BhBYXQTMQi96kYpJYHUhqNLAkd5IYIkoQsHltesw/AcdhIwMmrNAeut4ZIYX0HLhkckKEaDgA2jthCuAhQsgE0ijvJDsL1aElPnkQhXosRsSdH6+2CBaECQTQZOiPfpPeSaU0SeJpWYwdsYN81KXPhDTaCBKqSZMfEoLMIAEbBFKmTbZRjAETyWqlH7TsnZrUqGfGhgAtJiLhYChLhNHad9aSfWI/WpsC5g7RhIysUwoGiIXSAbGxZpUvAfIhzBM4SlynnvqAUbEvEHWMs/1Y6sdw29M0fyWu/kRQSn77xb7EnBtnCfaVA8X1cgP9PZrLWxeYRVaJAqPyxOAbm4/wYbAKAykOc4l4Y/zlp6gRL3CdgP/A31qCA82ps4/ShzJgFK1p/bFmBXSnql4WTDAoaA2hRb+MC32yziigKAQIKtIEv52xsY6sVeOz19AB6RF6hgDchHlptRZo+s0T2FOoWH/wEB5Breiz729QKHpn5fMdC9ZEAqkyaK80OAo/YQ1i8DFceAn0V/pQB2Nzdg+PgN+wdvAE9oq+0PjDd7xVvIMTQRnf4aww3DxhwoRkv0rHf1AO40HWWWedZI8WOEkfzEBw0W5pw37Bk9Gol7j60zEBQleJI7TwzrF3XAbCCmK8JX24n/hPCmQ0CN7Sz9In/CBcSUFS4vCYYAAXWqOstiWtPK13c2nNlrjR9rS3zDte3r4yd93NG1oNz9bHSAmE74dTWbnc/msd48fL/sSPw7H1cuU3hRJe/M1vfnOJavvZb0FGC0y4CAPTE/Mi8zBmRRzTPiZJpwkI3gXSmM0qj3IQD9cqQOE/J08JAKve8u4JMXiWoHz57dl8V4e2pAnaVwftDcGLGZdG2CTof1VVifmWlYTPpIlUroSyUAk86uUao+/qAZNm/mb7CKL6ta9Obj3gVFUvE151RAgI9AYBmk3MFiaOa4J9Zz9ZU/VgHVvv6rM3lBNnHTYJo3potCkUKASU6XSwTyA4fSWM2HOlDfuiqqoE2ZW4+lPf7RVx6qmPs/y2J8selW9mD9aFuSzwqT8pZcDH+mAxxih6F6TV88LD4kuAw82jPPAoxrKkDeVTP8y5frjExfqoqv/hUuksjIXRKuOC77vrszVpvOqEn8Gnqv5X51COb7S1xRqC3o8ZM2a6rldVlT/PYL2ALebf+iwZzZU4cyNOGg26vIJyeA5pQlnXaClGUn7xwxXgV33RVzwBXqD0xbi4JmHWShw8JZ/8YFbHx/gG8epTFh9Vyg32E+OOJyvtYCy5kWLyS1z92cxf9hgcj9/C19XzD/dvsNQvvJv1VZ8n+IObX124wQeaixLMR3MM6JE12IwfTe/2lvUGn1rL8GB3/YcX7fV6uvWrjPlXj3fwBWd1WkfS62Xqv7VvTzfrrefp7veABJnuKo34gEBAYPAhQHuCGNJW8qUeSIuILJdHSJ6Gsz/IZCDtK0vrx5pC0PIeYWgg4FwRxoU2fGhaHLpW+Htzq3SAdOhajZb6AwF4bNy4cWm0M4Stxs6ViaaakqhV+kiO491CaVG/vGEk93cgfWOJobjgrTCQevpfdvSWZPUmBLJgD/UoQpAZaohHewGBDkGAdoOWjKYDszaQavmc06DUXT0GUl9/ynINoVXvT9ko038IsIARIPtfw8gtSbvvW13Dra0fuRAaOT3jysI7YuT0qHM9gacJA52rcehqcvAfjhi6FoevJVb/utVs+Hoy+lqmDHN0gmV1qHsfgsxQQ3yEtRfdGd0QYJHBrA3UfM+sy82BMDO6IRK9DwgEBAICAYGAQEBgZoFACDIzy0zHOAMCAYFOQSDqCQgEBAICAYGAQEBgBEAgBJkRMAnRhYBAQCAgEBAICMzYEIjRBQQCAgGBzkNghhdkHGJ257WPprmVqfMg7FuNPnJ1wgknJDfp9K3ktLldb+eKQ/fQT5syOt7cM+4qQ98BGh09jl4GBAICAYGAQEAgIBAQGEIIRFO9QqBfgswNN9yQ3GDhAFg9OKznuxVPP/10rw0PVQbfEHC/u4/sDfRAdCf6/NhjjyUCiI9EDaQ+99G769td8wOpZzjK+hCjb6D4poCbsoajD9FmQCAgEBAICAQEAgIBgYDA6IZAvwQZHxn7/ve/n9x05ONVrk0kKPgauI+o+XiQr5yOBND4QJqPpo0EIQY8fODLxzkdrPbe3+Aeb986GIRx9bdLbZfz/RAfDPv73//edpnIGBAICAQEAgIBgYBAQCAgEBCoQ6BfgowKXPnKGuO34INAvmiLUecuFJp2UIkQEAgIzBwQiFEGBAICuI9taQAAEABJREFUAYGAQEAgIDDUEOi3INNdR10D62N6Qsnz4osvJh+722uvvRJ3oquuuiqJk+7cyl133ZWOOOKItMcee6Qzzjgj1d2u7r///nTUUUel3XffPZ188snJB86Ue+6559Jll12WjjnmmHTbbbcl7mNctqRxbWMx2nPPPXP8I488Irpl0I8LL7ww94ur1oknnpjuuOOOdNhhh+U2uUApOGnSpPx+6KGHek0+/HPmmWcm7Vx++eVp//33T48++mjSL/HGqc8lOKfDeiXv6aef3nVGhkXld7/7XTr++OPz+J154XqVG5n6h2tcgdtZZ52V2rVigNM555yTzj///OSDdwcddFD6yle+koqA6YyKdK6AN998c/rSl76UnN/RH/mNU9/Bgzvc1K7k/6xwLHDgLV2f6tY3YwFHaWD27LPP5nL+PP7448n5IGmnnXZa0pZ4MBEnyPPQQw+lQw45JMP71ltvzWNm8fvqV7+afGEYjMDwP//5T9K2OQCjgw8+OI9VnRECAgGBgEBAYIRDILoXEAgIBAQGCIGOCTIPP/xwmjhxYhYufBSnfPwJ44thxpBuvvnmaa655kq77bZbuu6663LXixCy9NJL53M3GOSjjz46/fOf/0wPPPBA2nrrrdM888yTuIgRKrbaaqv029/+NhFWMMDye2Jwr7/++vR///d/6cgjj0xXXnll0t4cc8yRCE65sRZ/WI8IHj4EuMACCyQH0GeZZZa0/PLLp1NOOSULYIqtsMIKSf0ELcIPYWvfffdNGGpjmzx5cvrzn/+cjjvuuET4WH/99dOyyy6b3+VXnz5fe+216Xvf+15SXr0EDgw6uPggIMHDOwEAg+6380jcyDD611xzjWI9Bu35yiph7NRTT02EBoIL4WTnnXfOQpjLAggVYE0wMR+EkClTpiQCAVhstNFG6eKLL87zZX41SqAgPPpo1JprrpnzEnbMM4HnwAMPTMstt1zizkdwOuCAAxRL0jbddNMsiDpLBV6EWIk+QuW3esHQh5Xe8Y53JEIWwYtwqH9gYS0Rbp3TIgiZr+effz6B93333Ze4rElX78wQrCNzQqAbyHidubKW7Z+B1BNlAwIBgYBAQCAgEBAYPAhEzdNCYMCCDMsEYcGZjx//+MeJUIA59oE9TWGYMe/O1Sy00ELJORpnJH7yk59kTTvmFSOLKV5nnXUS1zRMuNvGttxyy7TyyiunLbbYIhGOTjrppERoIGDMO++8af75509VVaXVV189CxQsAawKmH3CEuFju+22S2uvvbautAwECVYkbnKbbLJJtqxwkxs/fnwSXwotscQSuT3v4uXHQLM8sb4Y4zLLLJOZ71VXXTX3e5tttklrrLFGeuUrX5ne/va3p/nmmy8tuOCC6R//+IdqciAYzTbbbGnDDTdMymH2jZ8wgvnnwqcvO+ywQxbSCCS5YA9/9E9fCD/6yNLF4kNIYn1hHTIec2Ss2iTsbbzxxtkSsvjii6fNNtss94dwamyXXHJJtqAQWggq48aNSwQSfdPf/2fvTuA/m+r/gZ8rSZGUCBWjhMgSFaEM0b7wlyJLY0n2pMgWM9aUPWuhUdaUNUlRM5bspZK9GiEUUkp7v//3ecb5duf6fL7L5/uZ7zLf9zzmfO/nnu2e8z7nvM/79X6/z72AJ6CBLoIxQc/vfve7CVACSjSZpcVYAzhoJ858MM5VVblN2qSOueaaK98DNoAVuq211lrpuOOOyxYswItFCAhdaaWVMpAGcPQzF5zD/7DOnXrqqQl9Flhggdxb68Z4vf3tb8/AO0c++wfwA7IB7Je+9KUJjQFDIBKQBpiPOeaYBEQ/W6SrFxY0a9NzFlpoobTrrrv2WiZbPUj/KCqsnQkTJuQx19aSV3+mT5+ezCf1AbFDfRtgqXtOu6IbJQWeCrAOpH/mAt5VAou4cni+8XjRi16USphnnnmSPUD6SAXKlFNOOSXhlZQfrdphztx4441p9dVXz3wGz60rVczRe+65J2222WbJGrFWrrjiinwetFV9ETcrBSgU7Q9lztj/zJdZc6Ws2DIGaN9MK/dkB/sEpZaxsCdRbBkjeShfnMe19gWKOYodaSMV7FE8PKwzCtjDDz+8ZVPsl7xQ5NG3KT1KYP0pmaWTo/SdnOO3NVzSu3m1buwD1i+ZgTzj+e2eIb991578kpe8JFGOkqPq+Y35Vlttlezt5IC+vGLq5YbjNxmKTIT25Jibb765z8fiGbyGPv7xj2ePknpmY+LM87LLLpte/OIXZ/mWR089z1j5rZ+U5eSvwtfJphT75G79MPZTp05NK6ywQub3FPdkTGnNYJ1SKjM+vPCFL0xodO655/Z6Y0knw6Er+QVGQEs0bdbV3/1MSbG/XH2km8xcqvbcc8/ELUgjdLYUsaFw+aKp33rrrbP7FEIR6OWh8SdQ+S0AI4RemnkWGYfaxQsWNcsMZildHGHYYvJbIJC/7GUvS4suuqjbZIMtv3NE44+JTGA+8MADkw0Lc9WnRra2t4SseiJQxmJkcAVggaBZz1P/TegkhGuneJswMEiwRFNWFJYZ1h+CnTyDCUsvvXQvLYBBi9c4lTqAHoy03LN81PuEsQElNn9jq70mcckPiAInJuoFF1yQXe2Ms8BCgr6sBeoFOEo5glBVzQQuJW4gV8Cu5GOJwzB32mmn5HmYEzCszSXPnHoFWLxYY5VVVskMQj8xBmvRGuAeKK4eCAGsdFzzrB8MyeYP/MlnzgGxwKp1K66bAdMimGy//fbZ2gqsY5wsla2eQyAwF4FhSgH9NeYlr3WGr9hI8QrrgzvpSAszpX0DuA5blkceeSQBMlx80b2/B9vsbfBcTktg4cbbWbGtOXyqBEoNY9RfvbMznbBx3nnnZffeds+56667svuyOUgJUFVVcrbzgQceyEXwrH322ScLJECx+cWyDIDnDPGnLQUIv5RWeH6ZM9a3fbteiOs0BUV9H6qnl9/mlnFRJx5BOUNZRnEmD8Wm/dU4UpBy7xZnjkof7qBf2kCG0VZ81Vxq1Q5txrMAFHu+MnvvvXevkEcZR665/PLL07bbbpvlJnywVV1DjWPRnzFjRn6bKkDFg8Pe0K5eilAynX1fm7ULWCnWfOvGPWWp9QbY2pcpZtvVOVzxlHQUaPYKSu9PfvKTaYcddkj2pnZtwAvxFsrcJu/kpYPn2NfsregIxJJ52tU3WuO1nXxl/7f2BPPB+K222mpZmcObiELLHDDuQjvFGLrJqyzPIIaFXXbZJZFP0MCa5jllfk+bNi2RVR2BKOtbnoGGIQMZD8JMNHDNNddMzioQWsULhCvWE9oHk7+EjTfeOAEhJkYdzUOFGAJBS1nEUE8JmCKEKJS4+hVxCNxCPb7dbxoDrlQEQq5rwIPNrF3+/uIxLho9dBBoiiDSduX03wKvt5dmxoKjPcfgoGNaEmChXT0DjSes0pa1y08IFEo6oLPgggtmQFhVVQLOCEUl3Xi5J/j6DVCUMXbFqLXbJkf4LuW6cTU/TH4LzrMEi2rdHmtaN+ofzXUQ8glX9b5WVZWZAUGChqPZftqRqqoSt0/rx0YD2Foz8lZVld0C77zzznxeSlw3A+0kXmFTs0lPnjw5sRDqR6vnaB/hmNup+W+NYLYlL2FIP1l41GczuemmmxKwXfLEdSYF8GBKIPxuZkz7v3gSvmM9U+xQEFD0GLsSR0BlwRVYxPBwPL19rbM3xZ6Bf7PstnuS+WNfwaNY6vFlG7W1QOCSbmOl2GLFtz9R4lC62SPa1RvxMylAsXDZZZdlCzHamjOUV+g4M0fKIJNiTnqJa3elsMTfi6KNNd7c/Nvf/pZYaygsjR+hmfKToo7AWQTqdvXOrnhrhnBszyMcs6S0ehYh1x4vHyuTuWU+0uSbn8rg0eYpJSfljL0O8JHW7UCmssbf8IY3JFYU7UbHVs+x/wMqgA6rJXkJMAA2KdGUIexqK4BmjMiG+kWolT6SwblqSll7BaEd/7KHuG/XLnskjxnXeh7WN7Qwz81nyhHAzthaC/W8Y+E3OU8fADF0EcielATaT04F2qSz3gn4pDPsRYaQrwR0sNezmprnQApFf8EH+IJn4Nks3+ol91rjpY6BXocMZGxs0C0tOLDi3qQoGmFCbFVVGe0XQZYWXbA4WWMIZYRhjUYQ6IwbGlcsLmjipAnyQYgEF/fNoIy6y6JqpjfvLUDtdxYHotbGdoIVBtQs37ynQeKqZUIIBq8vCw8hjZaZkKkuLwSg8dQmDAwTN9gWUVVVsgwq1DUNJgmGUreoNCtztoVwaYFKQw9tYvaz4TMPGq+SbjwwBpOSFgqQqANBggEByDygXQJ41Ntf8Fzzo698Jr/+sQQVLRyBCpDsq9xYTzMPuQoSHIslbyB9slFRDDAHG1MMZd55503OO5XygDdBjkBS4rpxNe4ETW0wH9SJcZoXLAWArrh6qM9TTFTbCEbyqI8rqzylPmtFfwgErepTLkL/FAAWCWQUA4QpG5F1paT5hsfWlSF4vQ2qbj2Xd7gC4Wq//fbL5ykJYe2ea17bO7S1qqrslmwzJsjpjznDBcYeVlVVrob3AJ6Hx1kzOTL+tKQA9xMaalYTLuKsI/h4yQwo2gNYWWlnS3y7K9mA4MRrw15AI65eHhbWPOHRvqO8dc9N0BhX1cyxEz9cgUsMfkSOsKf39Vw8jyLAWpLP1R5fVVXS/tTzzxztueT/LFfkHXlyRJf/kLVKlWQt+zyLa4mrXyk2CZzoLR79KdOqqkrKGW/yAS08fp16/hkrln6Wn5FcQ9a3PY8yh7za07SkH0Cj8RusJUDfKdEoidSl/+YsYCRN3KgK/TQG6Kx7Dxkrshxru6LAGa8OCgX3grmDbmRW9/WAb1KEoYt4vJksjNe6RydgsqqqfGyBbIqe9nHpgwkdARlCI8TN9UBnmYpMEg3namQTtAFiQBoLjdE+ELxoYQlSOmABc5kywTEl2hULSBqiQnqAAY2FxexsDMF10qRJ2cyFsAQaRNQmHYceTU7uADTLQA3iAwutAAqhl+VEXRCk/IWQ0CTTGY2/cxmeBWBg1rRFnknoB5owWs9nlgWIgBBaDq47zsEAEZCm/tAeAgDK0IDQLtFuQPbKETYxawPOFYQ/quejMZoS/NRhkmmTttt8Pb8ZaBqND0EQwDSZMETlBYwLmCvlPZ9GG62l8Z1VJ+RdVVU2cXPBoylHY7Rj5UFz40QI8pIAmhqaGICHZp0wBKw5u0RY0Cb9R1v9IOBi8F7UgF6eUVVVfiOd/qGb/EAuTYg2AVe0wZ7FPGkDVb6/jUTZsRzMUeNZByAD6Q/NMtcHNKJhop2iRawzL5uOe0LsQOocaB5jaO3YCEuZqqry5meOWBupxT9CKqCqvUCydSGbudSsTzymqb4yR8RFGBwF8HFzA8/iegHUcusrPKJemzWJJxEw0b6eNhy/tYkG2PoHavt6ZlVV+VyMfafkw4sINQAOfus3lyC8T98I3/AEKHEAABAASURBVPK64st+R2hNAUI8wGs+2EO5l/EqQEcl7N32WHOlCOzi2wVyA0GI4GxfBzrt/cbJGDqTUMp6hr2cVYbMUeKH60qJa/6TifBZwjIXXjJCsw3ajz4lXtvtd+QN86/EAwXop++UQJSZJa3bV20g16CvM8kE1FbP0EegqqQpZ73gz6xn1gh5hia/5HHF9yng8BT3IxHIquQuc6f+fPf2EnOzHt/fb3PYfokmJS+ZEy9hSStxY/VqvRrrMu/Ii+Rwsl7pE8BWVVWyH5e4cpWPTFfuySzGwEutSpwr2sMNZGdzj/JI/GBCR0CG2ZHQSgMHnXlzFKTrwbTyBEpaFwcvLQ6bIe2MBiIEU3DROGA8TM0EbICA8Mucry4aFkDCAgBwLBJCDcJC/TYhZikgBVhRBiOwsVlUtHRADt9uB4qgZXnqwXMxHYBKuzHfovXVRwI8oZulwmIl6OuHQ0vaR5tHGAco1EvAx3xpI0xyz8fQtJdGyVvabLgERcIblzblaagIe9w/gDp1ARPopAxUDATQHtCIMtNiNjQd8plkyjQDgOC5O++8c377G1pjMvwgARDpNEllEaM9IIGewCiUzBe2CJDeDmbCKWu8mJXNAc/VL+MFVT/44INJn5jMpQE3rGsYHzpjHiatcTWe+sFv2ETXF7Tmu27Ts0iAY7ThOgT4qlPgUgBMWQwYKHBV3yTkmdMCZsx9or6RD6SPVVUl4I/QZ0MBUtHSPKyXN6cxnXrcSP2m7beeMUSCjbVCqByp9oyn56I5Hmr9E7QKj6/TAGjE0/HHevxw/AZiKJLw2la8vb82EBQphWysNmwCCX5jjTh3RYGk36zKeCZBur86Iz0lLuYUcOhob6GxtYfTetsbBsq37LNkBXuffdQeSlA07k06swbZW+xPzbTZfY8XmyP2Zvss+YgnBoUmANKqvfU2AWAUjmSfejx5wJ4I+FAC2+dnF+/TRq6/9gUKZaEVCKu3z28yAKUuhZj78RwoP8gpXjoz1ulgPpiT5L5uKAbUZy8n7zf5KFkUn6WgtQYotgdLv46AjE3DonLgp4SJEyfmZ0NhhNMSXxgXIcSiBnrqmmSLVB7Cig4BJrmiZ//IK159wEYx41nYmKR4IIlArgiUTPinIQEWABjggvDGyiNPPWC63HTURci3qemDPACDugWmUgKzDY7GH8jxbIH/PuZsEgNugAuTuDRtYIXybABJnOCNQJ6jvRA8hkVII6zTXni+jQBgwiQMPgCAwagLLdQjEDQAOGWaYcKECclZAvm006YvD8AmTlCvCSveeJhsxkOa5xSaS9c2mwUwo83GR3wJ3L1Y3/SftanEu7KeAGDKAT8OgOkvwCed5o1wDSyisXHx1hvCBW289qCR9skv6A9tsbnF0tCODvLOKQGgt3kOtj8AorVEc4qe5jRrFiGgXpd5Sairxw31dxnjVvVYO+ZdqzRg2JzQXr+tB5ttf/XRFLWqb/THja4WGhcKB0oKAkuzdeJY8IxhM21235sH9hMHo/EpFnB8gIV57733zq9676sN5j3+Yf8p8x2fxS8pXgjgFDnAGot5X3VF2qwUMB+4T7GMGidKTcAQ7zdOgnjeGRSFQMisNaR81o3wwzMD3wIQ7OvGpZ6X5pi3BV42EkqsosS0RoAZfae8ZZmhKKJkq7e3/hsvpyDQr7IHl3QyTeF95Cs8kLKupHfzav6TVchAFL88QPpTZgGnXC7JWOQM7bF3tOO9lJfAqXwjEbRLG1o9mxxGmdEqbSBxACalis9skOcGUmY05zFn8XbWeXuAtpL9jK/fzUCx3Yyr3/PgooDFVymF6mmAHyW3Oee53E/r6QP53RGQGUjF4zEPdwwWCcI2DZINlTWEzz7rFWYxXHQh6NKWaAPN43A9N54z+ykAWNosB/skzIIwwApo0wWmWcJYuQZb12Dzs3wCmayopSzmzxIord0GIy/mSTnhRRrmtfls47Tx1+uj9SF09lefOiMMnALmGqs14FsvRWNLecMy3BewrJfp5m/CB8u7TdTYCwRiV0H72j3Pxkr4pSRpahwJow4qswjjoZ5DWdKurohvTQEAlyAEXAjmj3EpoYwVl2m/m7UAqYRLfIPbFYUe658xKXkJ9gSfzTffPH/eoMQP55UrvDmEl9Wfq+/moP7W48tvQhtXaYpheUt8/Yr34dWUodxslamnd/M3QR/4Iljisbwj2tVvvMg4rLZ1wd2YUwATgutlWdLEG896/HD+xqOc0eD+WH8uIGxPxePq8YP5rX/c33npEPgHU3Y05rXP4pHmXmkfzxl0cnygxAEnlBUUzyWueTWPGD4ojNTRTHdvbHg/UVJb0+IGEwLIDIZa/eRlSXDOhdWBJQH65LpgU7SA+inetWSTi18tlywaLb+Z7br2gKhoRClAgKfVaDLk0iibjNDcQG1UtIdFo+mwPa0fQFHKunJ14F7md7cCrQ5NN7Mxhq9t/MkxNu6MVVXlN+JpnzSBxo/bm75oIw0hAMMiqT6WyGZ9GG05fNqtts8p9aApWgr1PtmI0JpAKZ6wZCMr+W30aE7bKL0EY8XKxwpL2C/xw3UlFAG3LMAl0CYTmLn14LkESRupPmqXPpnflE2sAuaROUZIlC7II875BJZn1nfzTlqE9hRAZ3Qzv6xXa5MgZO7YA8sYlSv+wzWZgGP+mHPGQXlPMR8pJtTl3hhY38bHPVceikN7rbo829wt+eUZjkBBad8H6rmDab/5xtrCY4EiQL/Qp7RN37jfoQ0aaTvwIF5561Gc38pQ2AACgEI3+6R+dEc3v9FWux0NoBDyLO1iPbOW3LvyPMHHeVlon7bKhxbWFRmEElV9ZBB7jje5GWd1jETwbJ48wGGxAhLK9cPepO3GDe2NQ72NhTau9Xh9J+PhFTxQPAMtjHc932j93a5djmuwTtufSx7nfngJcQPTb/MAmOX+Ka+xNpdK39GKRdsnRJyRNnfRxlyTV3n5C62lmSf2k/LMgV4DyAyUUgPMx4WNgOYVxhYIlwfMaoDFu5KNBoslSBsEzN6m3pXKo5IRp4ANnRYcA202htDJl9wm75A2P9eSB8Ox4QMAXClpSWgRaaVLHkzInOE+WOK6dfV8mkfuJQRELiPWCyboGdx3uByyEGm/s2ZcOblXcHuwIdJM2ojkVx+NPM2t+pimnckSJz3C/yiAFzlfSJvtZR6ErpJK8YJmzpuJo/nm4usVq4Qt84hLq7R6AGLMFWXr8aPpN423jRHgsfnqjwPNNKjcf+pBuwk21gW+zbXVJmx9EFCkR2hPAdpowqr9RiB8c0tsX2LWFG7d3K+BASksYgRmB4EJiuYjvme+4VsEZmMEtNbHsWkNUNfsDvgOy4Q1hLdaQ/ZcL9bxbEIuRQArIN5mfnH15spVb7u1Jp0bLfCnLi7VXLjMRRYQ9XUrECStB7zU2Vh7h48M47kAmOc47wNEaSvlhT46KiBfve3GSX5ucPg6fswdTrvx8ZE4R6c99UAYR1eufPoLVON1zuTKR8Fhj5LuXjCPucq7GgcATTzBmysrl3hztk4Lc1OesRq46zZlAG6BzoDhnfZc4w14OLutn2iAVwKLwKD92rznkWSuF/qIo5TkdukZ5hd+gZbGgmVGfYMJAWQGQ63IO0QKRPFuUIAZliaTqxgtWKmTBoTmDJAl8LPc1M20ALXzW1wZMGUmcH7lNIKlDsKpejCjEtetq+fRbnNns4E6SG4TLfVjcM5MsSQ6u0BAYTEitGCimCFBpuS3qauP22apj792SY/r/yhgYzFXvLWOa6F5UlIBRrSmaRNnYyZE0iDTnrFy0IRLqwf0J6iaj/X4kfxNA+5MZHFVJPTSlhOIaQFZJb0en1BJqCmBAK7d6CR4aY1zggRRVhtpEfqmAK02F1DrlZuOzw9Y8+1KeYtmfT0TdPAGFgFlWFrkMZYUNICCw8AscRQunkUAL2Poin8US4I6hisQ+imIrCWWcmsMD+ZSpw1e4CNQLFmHNN2EfW0uARA0f/Fp5z3VwSJlnQE+XB7V1c1g7RK6WcUpJWjJtQv4L88hWBLsneWhPdc+3iel3a7aygOllAFe3OMz+DralLSRvrIOEL7tjUCXlxyUNrHmmscAZYnDBwXnio2vPkmjGOEZgVeiQT2Yy/KM1WDM63JB6Yf+mwt4KXdKc7zks2eTS8wp8gX6qIeHRJ02+C+PD+vXeXrziYLNPu78rr2+PG+g1wAyA6VU5AsKjCIK2HgImF51WppVVVWyAdmYBIdtWThKuitrDmFfOhBBayheAGBstF6XXZiT+G4GGzhBk2aHmZqQUuqnkcXcaMTEEUq0kzaPpgfjFF8PXCBKfYSAen31fGP6dxcaj65oWQLNV6nWnCFQFq0k4d8GY8M3BoBxVT332xy0tAT+Us9ouAK+3nJV5oH5bhPlXguQ2FQLDerXsk7kFW8u1tfGaOjbaG8DFzG087ZLFoW+QIy+0IwTaPwWlCco4RHujaE1jVeo11wsPMC4imsGQhKgo/xwB2e1KAG0iWVpwQUX7G0CQIyvmp/WE94sXz2w6pS+Ky/NOjSfZ2ef8GHPIoRaJ3hqb8N7fgBYxonQD5iV/UOZEgCDOtAi4AMyzttwPytW9J7qRvy/ealN+Js2EqRLo6x//agr8uyFpZ+u6CC/PuIT4pqBslCesRqsYf1r1X57iTUJwNmri7UakLEf8LCwhwC3aNykDWueeuW3Xq0FSg/zsN0z5e8rBJDpizqRFhQYpRQglDHJ0lQy4QIhQ2mq8g7SOktFO00LOJT6Oinrm0s2EcJMJ+WjTGcU4A9Ny0iQ6ayG0VvK2nAmhkA1elsZLUMB7juEGaDa/VDDaCrPzWo0Av+B0IjLD0sm19+B5B/Lebj+sYKxOI3lfoxE21lhvPDKGyOHG7gGkBmJEY9nBgW6QAGaEFpNvrpcq4ZSJb9sIIZWcLiZUGk3QXqsa7JKX8bSlQsPX+Wx1OaBtpUGnNaPFnagZSLfyFCAOw5Fxsg8ffY+lWaaO+PsfcrsqZ0GHY+YPbWPrlpZFIplenS1bNha0/GDAHWuYcVq2nFFHRQMINMB0aJIUGC0UADT4NfLL3UobWJedxhzJCwxQ2l3lA0KBAWCAkGBoEBQYPxSIIDM+B370dHzaEVQICgQFAgKBAWCAkGBoEBQoAMKBJDpgGhRJCgQFAgKjCQF4tlBgaBAUCAoEBQICqQUQCZmQVAgKBAUCAoEBYICczoFon9BgaDAHEiBjoCMj4Z517Y3OzSD7xTcfffdcyCpWnfpRz/6USo08NYlH4zysbl//vOfrQtEbFAgKBAUCAoEBYICQYGgQFBg1FNg9DewIyCz8MILJ+90B1iOPvro5JV13s/vo2kAjrTycbXRT4LOW3j++ecn78D2zmzvj/cRMAemTz/99OTDUZ3XHCWDAkGBoEBQICgQFAgKBAWCAkGBvijQEZDx5U0fCfJBG5X7qq3XXBLqfVjs/vvvT2eeeWbn8ZT3AAAQAElEQVTyNVTpc2Lw3Q1fGfaFU9/d8OYoH5Pyhew5ud/DMZbxjKBAUCAoEBQICgQFggJBgaBAfxToCMj0VWkBN3/+858TId/H1i677LIk/P3vf08/+clPEmvNo48+mqv59a9/ndOk//jHP85x9T+PP/54b/rVV19dT0pPPfVUb5pvYAAXMnj29OnTc9rvf//79PDDD4vO4frrr8/xPv5311135bhO/viAnP49+eSTadq0aam4kr3pTW9Km266aXre856XtEm/hF/+8pfJM/0W7rzzzkwf7XMv3HDDDYlr2pVXXpluuumm9J///Cc988wzifua9Hoo6dpep6GPOYl74okn0ne/+93cV3TVTnT/3ve+N0t93//+99MjjzySuAtefvnlyXgpq44IQYGgwJihQDQ0KBAUCAoEBYIC444CXQUyhPWbb745+fjYOuusk3yTAnDhduUjQ9/4xjfSaaedljbccMMMZq677rq04447Jq5YAMa2226buKaVUfCl0J122ikddthh6eyzz84AwVdmpRO8P/vZzybhkksuyS5eDzzwQHbp+ta3vpUOP/zwpD1HHHFEmjp1qiLJM1hPAIaTTjopHXzwwTm+kz8LLrhgete73pVBkg95sUadcsopyfc43vnOdyYfFQS0jjzyyKTvZ5xxRvLRwXKvz//+978TQPTlL38553G+6Etf+lLab7/90vbbb5/+9re/pQMOOCD56KEvpiqjrkMOOSSDJMBNH9Gt0FZZwE3Zb3/727lebWMpQpPNN9880xvd1aU9wJN2GJsLLrggg6dOaBJlggJBgaBAUCAoMHYoEC0NCgQFxjoFugJkbr311nxm5kMf+lB2J3NuhnA/zzzzpI9+9KMZ0CAUwR4wWWONNbIFY9ddd03Kbr311mny5MnpRS96UTrqqKMSq4H8e+65ZwY8kyZNSn6zULAgSDvmmGMSgLLddtslz+LOduKJJ2aLBqGflQIYIKxrhzJf+9rXEkvQW9/61rTNNtukf/zjH6I7Dscee2zabbfd0n333ZcAo7322iuDG2BOpW984xvTqquu6mcOr3vd62a5F7nkkksm9PBbuXe84x0J2FhsscXStGnTEpDDyoVu6CUfa4+655577gT83HPPPRkQSj/33HPTxRdfnJxXes973iN7trZwBQRmuAECRmimvDHhKrjyyisnV6Dx1a9+dS4Xf4ICQYGgQFAgKBAUCAoEBYICvRQYZT+6AmS4U3F7AiYIxoRuFotmXzfbbLPkLA23rxVXXDGxoAAZiy++eLZgsOSwDFx77bXpsccey4I8YZvw7QwK9yhWA65QLBGAzWte85pshZlrrrkSaw1LyFJLLZUAGQCAa9qnPvWp3JS3vOUtSfuAmwsvvDCdddZZOb7+h5WDNcM5lxLci6/n41bG+nLcccfllx3oD2AEaO2///6JNamefyC/te/tb397ti4Bc57hpQFoALzom3q46ImXftFFFyX9ZP2qqioDOVawv/71r7LmsNxyy6U111wzA6YZM2Yk1jIgb/75509A0KWXXppuv/32tNFGG+W6cqH4ExQICgQFggJBgaBAUCAoEBQYxRToCpDppH/cmQjizbLAiTMuBHHgQZ5y/qTkdW4EuHDPPYw72oQJExKrAoGeZYI7FWC0xRZbZPcszyO8yw/8sPCwygBO6ikBeGFRYhUpgeVFfMnjeu+996YTTjjBz/S2t70teeUy1zKgDMhyPiYnDuEPwMWi5cwK9zkvUPBmtEmTJiXWnQKWgDb9Aaq8MW7ZZZfN52/6erR69t1334TWXPFYlN7//vf3VWQk0+LZQYGgQFAgKBAUCAoEBYICQYFZKDBiQAbwYI2ZpTU9N4DIMssskxZddNHkNc8AC5DA2tGTnP+zJHBDc0PYZ1EQuEuxVjiLMnny5ASAcNFiJSHsO8zuTI3zKkDPeeedly0R6ilhgQUWyGdU1FfCPvvsk8SXPOWqHq+gLvdbb711YnV6/vOfn1hRSvxQrkCZszhVVSUABVjizgaksQixfHnWgQcemLTXWaL3vve9+ZxSf88F1Li2Oau0yCKL5BcU9Fcm0oMCQYGxQoFoZ1AgKBAUCAoEBeZsCowYkGEVATxYXn72s59lNzMWBgI1ARtQIbBzofK2LXkMxcYbb5xe/vKXJ+c/5p133sSa4A1gwE6x3gAYzomwwDhLAoQAP753s/vuu2fXKudkuKOxoKi3k6C9wIuzLaU8cLTuuusmzxUHlLmWcM4555SfA7puueWWSV+cfREc9Hcu6MEHH8zgyvNZVRz2B/ZmzJiRzwEBN/09QN8d+ueatv7663cNfPX33EgPCgQFggJBgaDAqKRANCooEBQYUxToCMh49a9D7M5nAAi33HJLckaERaDZe4CDVUW+17/+9emhhx7KWQja3Ly8SYsbmLMzL3nJS/LZFpYGmQAd516UcQjeWRlv4nJeZI899kgO1xPoV1999XzofeLEiamqqiSvVzWr56c//Wl2LQOcWDF860U9zsd85zvfyS5anjXYAAQBFc4GcUVTpwBoeakAIKZOL0DYYIMN0le+8pV8/gTwQAv3QI9XK3txgTh0/chHPqJYb/AGMoDptttuSyV4exlrE5DnrWaAjTM/AJ42ASXezAakqNeZGbQCdHorfvYHegCOrD3PRsUlKBAUCAoEBYICQYGgQFAgKDAgCoxkpo6ADOBAOHZupB64eTU7w1pSz+NtWvU8O++8c37TmTzOltTT/N5kk0160+URV8KUKVN605whASQE4IlVxsF+LmXrrbdeLnLQQQclv9UjyJcTOvjD0rLLLrtk6xBAoj7BOZV6daweXNukCc7zuApbbbVVfsuZ3yUAbqU8AAiwOYPj/IrAbcz5GOdmWKC4ln31q1/tpcP555+fi6+11lrJN2VKvQAgICfRCxB++MMf5jLu1c8Fz+8IQYGgQFAgKBAUCAoEBYICQYGxQIGOgMxY6Nic0EYWmKlTp2ZrE8uPwDUN8GDBYtXqpJ+sQF4i4GyM11+vssoqnVQzwmXi8UGBoEBQICgQFAgKBAWCAuOZAgFkRvHo+/YL9zDhzW9+cxK4qnlNM3cyLnadNN85JG58XpPt5Qrx3ZhOqBhlggJjkALR5KBAUCAoEBQICsxBFAggM4oH86UvfWm2xvg+j3NIwrRp0/IHQLmUddp035FRp1dEb7jhhp1WE+WCAkGBoEBQICgwx1MgOhgUCAqMXgoEkBm9YxMtCwoEBYICQYGgQFAgKBAUCAqMNQoMW3sDyAwbqeNBQYGgQFAgKBAUCAoEBYICQYGgQLcoEECmW5SMekaeAtGCoEBQICgQFAgKBAWCAkGBcUOBfoGM1xlHeHEKGgQNYg7EHJgT50D0KeZ1zIGYAzEHYg6MhTnwwAMPPAeg9QtkyndI4vp0/u5K0CHoEHMg5kDMgZgDMQfG9RwIeeDpGP/gAcM/B5ZccsnBA5nnlIiIoEBQICgQFAgKBAWCAkGBoEBQICgwYArMnoz9WmRmz2Oj1qBAUCAoEBQICgQFggJBgaBAUCAo0DkFAsh0TrsoOQYoEE0MCgQFggJBgaBAUCAoEBSYMynQNSDz1FNPpR/84AddpdLVV1+dfvSjH6V//vOfA6rXIaDvf//76Xe/+13b/P/5z3/SXXfdla666qoB19u2skgICgQFggJzHgWiR0GBoEBQICgQFBgTFOgakLniiivSxhtvnEFCpz1XRykLlGy22WZpiy22SHfeeWeJ7vN60EEHpQ9+8IPpa1/7Wm8+wOW+++5Lv//973Pcn//85zR58uS04YYbpjvuuCPHxZ+gQFAgKBAUCAoEBYICnVMgSgYFggIjQYGuAJknn3wyXXTRRemvf/1r+upXv9pRP77+9a/PUnahhRZKz3ve89Lcc8+dXvrSlw6oTm8zmGeeedLCCy/cmx8g2meffZI2iiz1veAFL0ieIS5CUCAoEBQICgQFggJBgaBAUCAoMIwU6MKjugJkuGr9/Oc/T//973/T+eefn+65556WTWMdAXaEv//97+n//u//cpmLL744fe5zn0uPP/54BkNcyQCO+++/P1t4XvnKV6a//e1vOU1Zvz3rH//4R45Tl9+f+cxn0iOPPJImTZqU633mmWfSa1/72vTggw/m8uoFdI466qj029/+Nr361a9O5d+///3vXJcy//rXv0p0bqPnea721tN6M8WPoEBQICgQFAgKBAWCAkGBoEBQYFgpMGQgAwAABausskqab775krMy3/ve957TCa5dhx56aFpuueXS2972trT22munn/70pxmo7L333unRRx/NLmRbbbVVdg375Cc/mRZccMG09NJLpwsvvDABJ+5ZZ7beeuv08MMPp+OPPz7Xd9hhh+XfLDHSDz744HTvvfem97znPbkdfn/6059O3/zmN9MXvvCFtOiii6b5558/3XbbbTld2/bdd9+0+uqr5zJAVbHgXHPNNWmdddZJG220UW7HlClTcpn4M2YpEA0PCgQFggJBgaBAUCAoEBSYAygw11D7QOB3BuWzn/1sWmKJJRKLxrRp09If//jH3qpZS0488cQEcAAULCJPPPFEBgYLLLBA+vjHP57zrrjiiunb3/52AmI+/OEPpxe96EU5fqmllsplV1111TTXXHOl173udekVr3hF2m677dK2226buI7tueee6SUveUnO788iiyySdtttNz8T8HTKKafk8zbbbLNNbmdO6PnDmnPGGWekk046Ke2///7pyCOPTOedd1667LLLEgvSCSeckOadd96cztrDatRTLP4HBYICQYFxRIHoalAgKBAUCAoEBUYfBYYMZLiVAQ1vfOMb08c+9rHcw1/84hfZupJvev489thjiWUDoFlmmWWy5QNQ2GGHHdKiPdaRniz9/uciBuCoQ13cxaZOnZoAnhe+8IXPKf+yl70sn7F5TkIjwuH/H/7wh9mtjJWI1Yf72HXXXZffaqaeW2+9NW244YZp/fXXT3v3WI8aVcRtUCAoEBQICgQFggJBgVkpEHdBgaDAbKfAkIHMJZdcktZaa60EYGyyySa5wb/61a/SDTfckLidiXjqqacSwOC3cyYsLW94wxvSq171KlEDDqwpXgBw++23J2CJdUQ9A66gRUYWGW5qklh6VllllWxVAr5YZLiS6R/A9vrXvz5deeWV+dyM/BGCAkGBoEBQICgQFAgKBAWCAkGB7lBgsLUMCcg4G+PbMawUQMwee+yRll9++dyGs88+OwEwblg1WDr8/slPfuLSG7iKOYDfG9HPD88Aik4++eS0YY+VpK/s3kzWV7o0wMjZHr8vv/zybJn505/+lLiisfT85S9/yS8w4Lqmnc7YOHMjf4SgQFAgKBAUCAoEBYICQYGgQFBgZCjQMZABYj71qU+ls846KwEAJTiA7yA9q8nUqVNzr7ierbHGGgkQKG81+8Mf/pDLAhLOycjovA3g4CUA7lsF35VxPsZbxFhQEynNmgAAEABJREFUWuUpcQCU36xFrC7erOa+HuRZd911c9QXv/jFfPW2NN+uYT368pe/nF8KAMB4vTPg9fznPz/niz9zCgWiH0GBoEBQICgQFAgKBAWCAmONAh0BGWdKfPzyO9/5Ttp1113Tueeem/tN+PcKZMBBhA9Uvv/970/ctBzyl+bFAB/60IeS8zFcteTzFjNvDPPaZkAFWPBdGWCF+5gXBXirmbxeKAB4bL755qkAIPFHH310YgHizgYsXX/99WmFFVZI8t199935EL+XAQAmv/nNbxRJW2+9dXr66aeTdjn/wm1MO4AxliWvgJ533nnTj3/843yu53e/+10CaLQhVxB/ggJBgaDAeKVA9DsoEBQICgQFggIjTIGOgMx6662XbrnlluRQvIP3m222We4G4Z8lxvdaWDO4gAE7vtfy8pe/PL95TBnAwtvJVltttVxuueWWSzfeeGNyXsU3ZVZeeeV0wQUX5DM26mLZKS8FWHDBBTNw2nHHHfMbzHIFPX+4nPnei+/LcP1yroVliMXIm9SuuOKKxKLC6uJe++64447EWiRwkRN300035TeULb744j21pnTEEUekAw88MIlnLeJCB+DkxPgTFAgKBAWCAkGBoEBQYIAUiGxBgaBAdynQEZDpbhOitqBAUCAoEBQICgQFggJBgaBAUCAo8BwK9BkRQKZP8kRiUCAoEBQICgQFggJBgaBAUCAoMBopEEBmNI5KtGnkKRAtCAoEBYICQYGgQFAgKBAUGNUUCCAzqocnGhcUCAoEBcYOBaKlQYGgQFAgKBAUGE4KBJAZTmrHs4ICQYGgQFAgKBAUCAr8jwLxKygQFBgCBQLIDIF4UTQoEBQICgQFggJBgaBAUCAoEBQYTgr871kBZP5Hi/gVFAgKBAWCAkGBoEBQICgQFAgKjBEKBJAZIwMVzRx5CkQLggJBgaBAUCAoEBQICgQFRg8FAsiMnrGIlgQFggJBgTmNAtGfoEBQICgQFAgKzDYKBJCZbaSNioMCQYGgQFAgKBAUCAoMlgKRPygQFBgoBQLIDJRSkS8oEBQICgQFggJBgaBAUCAoEBQYNRToBTKDadH//d//pX/+85/p73//e8vwj3/8I/33v/8dTJXjKu+PfvSjtNJKK6Vf//rXw9Jvz9ljjz3Se97znmF5XjceYv6ceuqp6bWvfW1aZJFF0pFHHhlzqhuEjTqCAkGBoEBQICgQFAgKzCEU6AjIPPDAA+lTn/pUWmyxxdKCCy6Y3vnOd6aNNtoohw9+8IPpXe96V7ruuusGRCKg6Kmnnkp/+ctfBpR/LGZq9m/RRRdN66yzTnrRi14027rzu9/9Lgv+//nPf9Lznve8dOutt6Z//etfXX+e8XvyySfT3/72t67Wfdppp6Xbbrst3XXXXenkk09Ov/3tb5NndfUhQ68saggKBAWCAkGBoEBQICgQFBghCnQEZCZMmJCOO+649La3vS29/OUvT6effnq64oorcrj88svTpz/96TTvvPMOqEsE4O9+97tZUB1QgTGWiWXhyiuvTLfffntvy1//+tenL3/5ywmg6Y3s4o9///vfuX4WMyBmySWXTABnFx/RW9Wf//znZMwfeeSR3rih/gBqv/Wtb6WllloqzTPPPGnjjTdOxx9/fAZkQ607ygcFggIjTYF4flAgKBAUCAoEBbpDgY6AjEcTMFsJx89//vPTBhtskFZccUXZ+g0333xz+sY3vtFvvrGa4fe//30644wz0uOPPz5sXbjxxhvTRRddlFhjZvdDr7nmmnThhRd29TF/+tOfktDVSqOyoEBQICgQFAgKjFUKRLuDAkGBlhToGMi0rK0nkob+F7/4RXrhC1+Y/vjHP6YvfelLaZNNNsla+4997GPpJS95STrssMPy2Zpp06Zlt7Tvf//7adVVV02TJ0/O7kN33HFHdlObf/750+qrr55++MMf5nigZ/PNN0877rhjOuigg/IzCNI9j53l/1//+td0wgknJJYjYGvbbbftPY+ibdziaPi/853vZK3/6173usQqxHqiIu0+9NBDsxWDxcn5jKeffjpxofrCF76QPvrRj2YrlPo322yz9Nhjj6XPfOYzaYEFFshltI9rl7qcS/nBD36QPvKRj+T2ahu3KUCPy1n9Xv177rlnPhOy1157JWeN1KFd3/zmN/O5GnSde+6501xzzZXrU7c8Jdx7771pq622Sq7Olqy55polKV9/9rOfpbe//e3pla985Szuf/o8ZcqU/OxXv/rV6aSTTkosO9y5fvzjH6c11lgju8Itu+yyGXg6I+XZrCWXXnppWn755dMRRxyRLr744jRx4sT07W9/O2244YaJ9enuu+9ODz74YPr4xz+e2/yGN7whob26c6Nqf4Aw52K4wh1wwAHZfRHQlVcct8V5e6x96623Xrrqqquy+5y2n3jiiWnppZdOl1xySZK2xRZb5LRa1fEzKBAUCAoEBYICQYGgQFBgDqJAX0BmQN3kvnTttdem733vezkACARLhZ3J4Nr085//PP3yl79MhPRjjjkmnXvuuemnP/1pFni//vWvpze96U3pJz/5SZrcA2RmzJiRvvKVryRCLDDwjne8I33uc5/L5YEgZybuueeeXGabbbZJL33pSz2qN3BVO/rooxPhGfABXACCSZMmpUcffTTnYx254YYb0k033ZSf+ZrXvCaDo1/96lcJsDjllFMSYV6+s88+O331q1/NAjLhvaqqBAwQ8rVrhRVWSGeddVa67777EvcqoAy4uuWWW/KzWCsI/+edd14+R4IezzzzTNI3wnn9Xt4NN9wwHX744clzb7/99lwHwAdYAUBoizbc0lh7WL9ypmf/LLPMMvlgPAAmHQh5NikDMXQ56qijkjM6AJk0fd5vv/3SyiuvnB5++OH0xS9+MXkelzg083uHHXbItJk0aVIyZvrq2QAjYHTnnXfmcQKyjCH67r777hnMPPHEE3k8uRwCa8DoLrvsksGN59cDwISWq622WgarnrPlllsmoAltzBHj4lwWUAPgVVWVXz7xm9/8Jo+D/GuttVaqqirFv6BAUCAoEBQICgQFggJBgTmTAkMGMsAKcEHoFgjp3MuQi0WA5v/FL35xfmPWG9/4xmyBAT4AIHmawRu9hHPOOScL9ARrYAR4AQjmm2++5MzH+uuvn2jhWTbqdRDeL7vssvSBD3yg17rAIvPQQw8lIIO2HwhYaKGFEuGdlQAwoOV3zkd51gJg5POf/3y2JOmje9YdLzhgKSIos7zss88+idVj1113Tcpqq/yATr1d5bfnLLHEEonAL65+//73vz+pF3jTR6BFHm8dY5Vh9ZB/7bXXzmeQxEkfaPByAeDlzW9+c3r3u9/d6+5m3Bys94IGtNBXIOtrX/ta0lfg5a1vfWt+YQBgoX/t3NZYRV7wghck+SdOnJjHEMAwfgAsSxqLG9cxlpyBtN2ZGWeyWPbUq02A0CqrrJJBrzoWX3xxl4Q2W2+9dQamVTUSQCY3I/4EBYICQYGgQFAgKBAUCArMZgoMGcgAKdtvv33ae++9c9h///0TQbneblYHQRyXKAK1360Clyhgg8vShz70oSyQTps2LVtvSn6CsjM65b5+BZAACgJ/iec6Bjzcf//9JSqDnNKmCRMmZBcmlgMWHRYKGn/P5w4HVHH1Ks/0/ALW1FHcp1gugAtAqfdBg/hR2uw5Bego/pa3vCW7rAFoQAQaccWTT/pAQ6lffoDQVeAap0/eOKfPwB3r0MEHH5yML6sTS5pxWGqppRTpN9TrZ31aeOGFU6kf6AMavemu34p6MgA9f/jDH/KY9dzm/8CMthoz6Tmy509fc6snOf4HBYICo5EC0aagQFAgKBAUCAp0QIEhA5nmMwmSzooQ6JtpA7knoBKqWR/WWGONfDaDmxSt/EDKy0Mw537ktwBsCFzT3DdDVVX5zIl0QMvzuZuV5zuno04gIjX+AT5c2bhDcbPi/vSyl72skWtot6xOhHYWqAUXXDAfrj/kkEPyeZOh1TyztP4Cbyxm9T6znHATc/6Hteizn/1sthjNLDXwv+qvqiq7A5b6gbO621tftbEOVVWVX8fsd8nrvBBAqf4SF9egQFAgKBAUCAqMBwpEH4MCQYGUOgYyzotwIyNY1kGL34R6ZxcIx1ys5C0gwG+gBABQFvDxmxXlgQceyAfRnW3hSsRljfWB65Ny6lCf/M69tBpAmv/3ve99yZkUbmlcoJzfAJC4JpUyzu3Q5Ev3W93vfe9785kbQMQ5Fe3g1sUlTTlWEu1g9dEGcfpI4CdUeyGA752Ic5CfaxhgJI3lgEVIOc/Sd3RQB5rV76Xrp/ZJ1w7nd5xd4fbFOkJ49xzpzcBSQ8DXfzT1TP10Va/8xs5Vm7nsoQ+3My5mnqXPxgYg5Bam7347tK//gJ0265t2sJgAPdruWV76IN0zuIAZA656aGV+sHIBTtKbwdhqpzqkvepVr8ouiaxE06dPz9/D8byrr746OdTPAmZc5C008ztCUCAoEBQICgQFggJBgaDAnEuBQQKZmYRwAPzYY49N3jBF2PRmsn333TcJXMxo8KuqyofiCawzZszIB9Ad+OeuBDh4KxbhltsSIfnUU09N7h3ydv6B0OqsgzdhEcqdGWGFIGQ7y+FNVkV4ndmqmX9ZVbguSfNyAa5uvnPixQDlHIWc+uDQu3MynsU9jkubszMOpQMZnq8vBG+H6AEK/QFIAB0CPGGfoO68x4EHHphfSgBIXH/99fmtbdrD+qC98gA6U6dOTQAEegEODs+7d97GoXYvG9BPFhhv4VIfULfbbrvlt585LO/cj7YDFfpTD1zpBC8j8Ma3Cy64ILcLfY2Vdjj/AixoMyDF2mIsAQNudPI6TI8ezjl509z555+f39AGpHlZg3KsRYDHySefnNBF/UAp65SzTtrF1RBN9c1BfHMAEGP1kl4P6CMdALv44ovziwfMH+eRvHBgypQpSfu8Sc7LCbjBefmC784ATkCeF0fU64zfQYGgQFAgKBAUCAoEBYICcx4FOgIyXMccFicg09wTqh2uF5x7cGCcEAwYABJebbzTTjvlcyjbbbdd8jYsQriD8wAKcAAArbvuusnZCkKrOGAJGPEKY8K8MxYEe28J89Yt7mLNIRHnwDeg5DXLXL0AG3UATCW/PB/+8IeTdEI8aw3AJI/X9/rIp++/6AvgwNLjfIhzMN7Q5o1chHEWCX0DVPRNfT52qT/O3qAVSwT3MyDB29DQBMBQztmdAjjcL7fccvn1zoR4IG6llVbKr2H2SmVgT9+BBgCLtchB+tKncgUQvGnNc7ik+XCpg/bGAR2AD/0ACPWNRYM1St1nnnlm0l5jihbaC3ixBhlfQASgQTu05gKobu3x9jJjZ3y1naVHm4A9oJCVTtvRRl2sVdLrwYsgABYvXEB/L3VgIQNC1QmoeJU1ehgb+QEtfQUegUFtrtc54r+jAUGBoEBQICgQFAgKBLiboCEAABAASURBVAWCAl2nQEdAhmBKwPYGqVbB65Sd5XjFK16R315V8hBIy29X94RlwjvtejmMrn4H6J2nkAbE6DlrjXICiwNBWnwziCfcOtsiACCljpIXANEHz2BtKc+Wrk3cmZTl/kRYFk/g9+wS5KuqKjnDo88O4AMugIQ6CeqCtkj3Fjd9K+VdASTXEgjhq6yySi/d0JG1YcKECUlbtEkAFFl6CPjaVg8AGfqwhKCx/pf61V2/R1NtRjPPUKc84tSpjwApOgGdDv8bK32Rjq7ADHDkd3mOq37LI6CvNqlHfvfim0H9ypZQaCqfNG2TxpIH9IpHf30V74qm4iMEBYICY5cC0fKgQFAgKBAUCAr0R4GOgEx/lY7mdO5wXI+4ObFQjOa2aht3KedOWES4XDk7xNrCtQoo4LomX4SgQFAgKBAUCAoEBcY1BaLzQYFxR4FxB2S8Ctirlb0QwDmQ0T7iLCrOsXCTY8Vw9oc1ycF835sZ7e2P9gUFggJBgaBAUCAoEBQICgQFZgcFhg5kZkerZmOdzqk4R1HCbHxU16oGZpxtcZZGcD6Ee1hVVV17RlQUFAgKBAWCAkGBoEBQICgQFBhLFBh3QGYsDU60dc6lQPQsKBAUCAoEBYICQYGgQFBgaBQIIDM0+kXpoEBQICgQFBgeCsRTggJBgaBAUCAoMAsFAsjUyOHMjEP0Tz75ZC02fgYFRi8FfMvIB0t97HQorfQNIa/j9k2godQTZYMCQYGgQFBgNFEg2hIUmLMpEECmNr4PPvhg8v2ZP/7xj7XY+BkUGJ0U8EFS3/R55plnkldu+8Cp7+6stdZaqR688U4evQBUfLS0pPt+0NVXX528SMIb8HwPSR55Z0fwAddrrrkmfexjH+u3+v/85z/Jt428anyDDTZIpa/1gn/4wx+SbxiV/jgDd/fdd9ezxO8aBXwIGI/zvSuhlvScn9/+9rdnmUcXXXRRbx5vftx4442TcfGNrDK/ejN0+cdjjz2WfCjYd6TqVQPgvjVWxr9+reer//bRXR8XltdLX3wPzZshS55mutffW1slfbxeKU186NhLZqxJ3/qyngs9+kunbPEhZmXR3gehH3nkkVK8z6tx/uQnP5l8iDk9+w9/8BZSH0VWnw9L19vzbLauXcwDZ1XxWHxSf+uV+1C0b7Bpi+Bbaz7+Xc9T/40P+iaavBSozfrIIb63J12Q9xe/+EW9ikH99kFya8W1WdA32HxzTv+8FbWZ3ryn9PJdP/lPO+20ZnKyN1mv2i34xpxv5z0n4whE+Ni5j40bR9+s8z2+/pphrutHCb6JVy/jA94+ku77f/X40fbbx8oPOuigzNe9MGr69OmpztusUeOvn8bXdxvrvFH5KVOm5PKbbrppMofr5dv1Vx2+L7jzzjsnc8EH3uVV3+TJk3N9m222Wbr22muTdS1tMGG2AJnBNGAk837/+99PNuTSBgzWpPbdlBIX16DAaKSA13KffPLJyfd/fF/I934I+vPPP3/6f//v/+Ww0UYbJd9y8n0f3y/Sj1/96ldZGPBtJGHppZdO5VtNvs1TVVU644wzEsYjfzeDzc2G+YUvfCERHvur+8ILL0xf/vKX0zrrrJMw2C233DIdccQRsxSzKd9+++1JXwRrd8KECbPkiZuZFADw8DiAZMcdd0x9bbrG6qijjuqlK9quu+66uSLC2Ve+8pX06U9/OhEGjOe5556b02bHHwomQqQXtBjv+jMIdk888UR6//vfn+e8ue97Vb7HVc9Xfj/++OOJ8LLEEkskc1EfhR/96Ec5i3QCcz0d8J82bVpOH89/pk6dmgg2wCsAsvnmm6czzzyzlyRASkn3dlBKBeCiZLCe8SiCL9r7xpoxBVJKnlZXc3HXXXdNV1xxRarnZYnee++9Ez536aWXZiWkeYk3tqpnKHGXX3558vmDtddeO6kfeAJa/C71/uY3v8lzyloRfHfNXCzp9Su5gwLGy3vMbUEf62AGr77hhht616D68Ot6PQP9/bOf/SwrAgjwAFK9nGeceuqpWSHke3Dapb/1PPXfP/7xjxM6f/azn01veMMbMh9ofsrC21XPPvvs3rYvtNBCyTfe6vWMxG/jtddeeyX0Nl+9NIlA35fwbP4deuihvX0xttZAaf99992XFW6HHXZYAmhK/Gi7AnD7779/IuPil/fff3+iyLnttttyUykB9OHmm29O1pN54N66k+Hpp59OgPWMGTNyuXvvvTdRhNp/pbcLaGuv2H777ZP9+bzzzku+E6k+65/iSD32J8DYXG1XV7v4cQtkbH401e0IE/FBgWGmwKAed8stt6RDDjkkbbLJJr3lXvCCF2ThFAMSdt9997TYYoul1VZbLfmHIdOgAD608rRMxx9/fHrlK18pOREsaEvuuOOOhEnlyC7+UT9tLsGjAKt21bMKES4FmlvaHG2bPn16osVRDmOWjkECX/ozpUdbxLokPcL/KHDTTTdlQZ+WjUAJ0PwvddZfNh7zw2btu1Xyo+2CCy7Ym5EVhlDHsrHeeuul733ve71p3f4BlNDkEbLqdWsnAYkm1IZozntNvbc8shbV85bfhE3likUQiH/LW96SymZuk7dOCOnKSCeAWW/ux2ugSGAVu+yyyxLwAIhQfNDM/+lPf8qKBtbRkk7YXX755VNJRzdx5krhN3iXNdyXK3cRiAk66qgHc3TZZZfNYNo88JkCgJpAVM831N94EdCv/QQ5fSRwTZs2LQF06qf4AeImTZqUADXrBUD2qQTp9aA+848AjTfj0cqoT5BXferYeuute+sDqFvVJ39/YeWVV07bbrtt3g9a5QU48VfgbLnllsv7SKt8Ja7kP+CAA5IxQJ+SRkOvrZQKxkga5cmLX/zikmXErvYLIE278BUKnaqqkj2mVaPwCmOzbo8ShzWYldq4ADMlP7CK77iWuNF4BVwAGBYX/JJiwtihh/YCEKxm0qynNddcM68te6p1CrDZP4BY9AIEl1lmmYQeyrcKFEOf+MQnsvLUHrHHHnukxRdfPGclY5AFgGjrSn2AuvWVMwziz1yDyNubFVPD2AlBUBwzG21F6ZCFamOQrvNnnnlmYoqVV4D2EMdkp90z8W0wUDJTsbpp+WhjMcfyYBoK4EOnmS0L+gVKaASmTp2aaGlobaFK2g0aIPltdlxo1EXDx7zGjEVDQXNAODLJDXKdsXqmPOrg5kLTpA4Da9BNcnnOOeecBO3SbkiPEBSYXRSw/giSXBfqgMB9/ZnmKkZCaybebxuQtYW5WEO0ItJKWGSRRZK5XbQwJX64rwQYQnLp33zzzZc16TRqgvbQxuMrBNiddtop4QF4j7QI/6PAQw89lLWttI9cS/oTKMwbgoc5RjBj+cNjS40rrbRSKuNio2cVpNkr6cN19dzlllsuWx3LMwnb+P4aa6xRoma5Ajnmls3T3oI2+jBx4sSczwZuDtXTARuCTM4wTv+gmblQlATmENcSa1GQzkrRTEc76chGcPzBD36QhRpxt/dYUilVXv7yl0t+TlAWYMKjmryNKyM5AlhihVZY/XgcGcB9twJQQaOMB6nT3Gc90QdBnPO15AMWlh122CFbrsg60pqB/EGIW3jhhXuT8Gggheyj3yyPpT7Ctr6al70FuvjjrW99a29t1gI35XaKABkJuK4C2Y3Fv56fLEfuIhNut912WfYzXvKPZNA3MptxZBHQlgUWWCB7JLAS2PfE1QNXXLSn0DH/uVbiMfU8Y+W39bH66qtnN3RtBmIAXHRxjxdSSvDucG8eUOKwwJiPrNT18mhIuVTKK1MPeAI+CsC4yl9PZ2GkRPIc8daydWD+ux9M6AjIYCwYEjBCgKepoI1gkqcRMWnFAQsmCCJM69FeWIgEf4SxeDAcZfi9IiIkqB5gApOjYaGJ43vK/MS1BONQFngCWHSaqRShoGztAoYIORYScPO2t70ta3E9C/iBpiE/GyGt4pve9KZe4Y0WRX2IaEFus802yWS3eAmB7sUDOwaIVtxE12eIF+LUL+UjBAVmBwWsBQqA/oQr7lt8Xc137SB8AC/Wl83HpkvZYF1KF+SxwdI8uR+poB00g/XnU4rQYBJGxWPElB/WoDRgpihTpEeYSQEutOaLTWOXXXZJrGJAyszU5/4lzFMi4WsTJkzI7nx8+Js5bfJ48Kte9arEv76ZPhL39hobrj60er7N0zyhVSyuTwRytJG/pFsnJZ323IYufbwG5+de85rXzNJ9Ah0gYq22S1911VWTdAWd8QB07KGUflVVJUJ6ASLy1ANAbR83t+zV9TR7LDmk1C2NAMbqa48nJ4jrRtA+Qla9LvOM3EDxI96cw2+tE1YaYKYdD0UrZcgpriUQsAExAMg8VB/FLdmI7NKuvlJ+UNcWmSlkWWRYv7iMtsgySxR5h0WGlh9PKYmLLrpoIhdSYNtnKIEpg0v6SF0BFbLnggsuOEsTyHfkOeM2S0LPjb2Gwp1iz35DPjQmPUlj7j+eyNW8NJybJqUo121x1qb5B2i7F4BrawrdKBzKfJemvLlalEDi6oGcwpPCOqEYI4sAtuLla9YHRJFF2tWnTLvQEZDRGUgOiAAIjj322Oy/aoIwOUFYtH/QOkZm4E8//fQEIJgIAInG8jtkudFJYAMYwByZ8AAgwIYVhaVEWWZ/B1SZdS0c94isDbQkNGw2avUxo3KRgRjf+c53JgQ0WWkWMSaMAnPUDxMUk8aMoEjEwggxXhuc9tI4EgCnT5+e/YLlhXCrqkrcNNRvU58xY0aqTwR1RQgKdJMC1oi1UmdKzfrNX0qDD3zgA71JmBJtOpM/8y33GYoH2sSSyXoivBIgStxouFq7lBesNPiLNtlk8BeaMi5zABiNGT4gPcJMCrAS43WrrLJKwlsJ6JQ8rNQzc8z6Fy8luAHK5hDephzhrZ4TD2Xdo0BiGaunjcRvmnM8n7uDPrRqA2GXdp8gbV9hjbcZl7zSuTwR6Fqll3zj/Urgcc4DyDO3mvSwBikoHeAt6fZYdCc3mDf2yrKWm+XxLy4vLGvFFa2ehwBWv6//JncoX4/r5m+KVfIMF7vSfsoioA5PpUwl/1AWtBKO8SnzCw/Gf/Fz8g6XOGnmbqnPWiUDWWvWIOVBN/tS6kIzax6AJ6/htSWt1ZWcxLVQfnIP0FXyAZf2GXuPeshfxh1QKnlG4spyoJ+tnm2+tEqzZ7IkcLvTV/uPK8VQq3rGUhxlANmXjKvd9lIKGyAcSCXHkqUBQGtXnnpwYN+cAVTq8eU3hQIZ3TxhrQVsWSLJ0nhAyVeu5BDyerv6Sr5W146ATL0iA+zeAqTZspnUF++zwpYsCQjgwiWfSb7VVlslmyVglDP0/GH5oJno+Zl0HkKD4AAOHaWdsHD4bXuWfCVM6NEelt+uBgGj5T/POsTlQPxAAquLhWcSl/yYiUEg5GHk4gl+kKzf0l0jBAVmJwUwB9qLvp5BCKMZs6G2y2dN0NKwZtTz2EgJdPW4kfyQUXozAAAQAElEQVRN82qjZyVorvHSLlpOQrc1joGW+PF+pTUzV2wQNNvGm9894QI9KXb6opFzV9xoHNLkilvPC0zfeuut+eAn6/nDDz9cTx723wRMe4/Nud3DgRZuL4QWmzXhk1XAWQ5lSjqhp6Tb2Lk4SY+QskKSIM8S6nxHkyaUjtKB5Xo6wYfCAf0BmbIvm6PNOpyr4GZlTFkUBWMjDgCi6W+WKff246qqym1Xr4Q6sgcLgzXRqnIafm5hhH0yRKs8U6ZMyYfkWS4od8k12l2XN0o59QHcZKF29ZW8nV7xe+NgjRNsKYTJau3qQ3/5jSfht11+ewmFNeUx4NuuvuGIJ6sVUN18XlVVCa9rxtfv9ZlLNsHc/lpPG2u/KRqsR0odBgjtt1bNRefYADbr07ykMGzOS+UBIeXtvco3g30HL2BUoPhncOAGbp/gBl7Pb66RQ9QHCNfTBvJ7roFkGmgepqKqqpJF0aqMzQGwwQiYnATuCxrfKj+AU1VV9ukDZrxtwtkXmzAgVLQhrcpa9AQbLmfa5TBWAUit8jfjMCEoHYHraQbEYhDq8fE7KNB9CrSuEWOx6bVOnRlLE0ZAm3nX+i8Gxk2TcNs6x8jHWsc2DZsHN9C+WkRr5MAlbWZf+cZTGp6HHjaVer9ZwPHjZnw9T/lNSYWuTRCJB1IwscITArgClTIjcSXg6k9f4J3Fhhac5hwvZ5UiiHFB1mZKKukUYCWdhrCkyzOeA0UBIYSww82zSYuSzmOimU6TjW/R4jqrZd6w2rRSPHAtJ0SxapRAoYGvkQGACHUZ79IGezZ+gQ9UVfeBjPoBWvOCR0l5bqurNrAM9sVbCXWsMq7mHP5Gsdtpfa3KDSbOGmYBo+BC66bs06xLfvtHyU+4beZxz6KGFq7uRyrghQ6aN5U3LGJkRC6y/bXNeOKF5l9/eUdrOoWAdcRq5kxKvZ3GyXkg1lAuZ5SmXAMB0ZKvlMf77cslvnklXzT3HvWzctXnFusqix6PAbyhWc9A7ocMZOpMyCbA3cpkafVwWkGWDGdNijXFJKqb6VhCSlmIEaLXOb7vQM/uu++ebCyYWMnX6mpTtUnJyx2N8FdVA2durCv6QjNUZ5YGgAmuE9TYqp0RFxQYLAXMS/Ov3cYB9NNMsx72VTdtJyZCK13PpzzGXo8bid/MzzSwGJ8Ntr824B2EbYJGf3nHSzqwQTjCZ/HT0m/80RmkgQgXeB5+W6zvpY5ypak0HwciCJQys+PqIC+L/ov7eDuSOW/dmFvaYC1xVRbnvqRTYrkv6WjgfjwHIIEgb401QQq6SGfZAiRbpbMmAAPyCu9+97vzW7TwIPf1QCPMqlMP9nDKTONFQKIA5aVB6FaWRpeAaV6773YArljy+PpXVd+yBGue9aA9fbWDyyxBkXWTBYvSoFV+9ZmL/dXXquxg4wAU65nSeSBl8QZWI4rnVvkBUkItualV+nDFUXybOwRxCg3PJY9ydyJX4mPi+gryqweQ7yvfaE2z1rh44ZOt1mhptzFjcQXYuYeWeOUpdayB/sbTXGUdZ00t5fFX84vVT1y9vqYcIn2gYchAxrkRjeMXClVxVzAhbJwWPW1q2TRovoAKZ1/4tQMaGFbplEYDK3xFbbQmF3cIxFQHsy4LC3PsVVddlbg1uFrkzJy0O4QZm5AN3ITVJhYgDBGzoE3i603YMSGZgLmtAGQ0esoYRIuTT6q8XNn00evhTHpnZpgpxZX8tJteX6eNBAbt1Z8IQYFuU4AgwZxr425Vt3VgzdBA1dO5dFpP5jn/VyZfa4yAUPIRNGyu7YTWkq/TK8ZlrRF6rNv6OvHmG4oH698axjAdJrXOaWXxC98u4DLq+TZaml0aNm4LBIG637o8EVJivbbxGGt8FU/GE2nIbSp4KkGE0ga9WK/NH9o4gBgfnDx5cn5TGf7GNQ0PlK4+42TT45qgfLeDuQBomDeUSkLzGfLQbjcPKQM31ouzU8pQpumreaNO+4U9goWmnm6eSddH6c4qSB+vAX29GMR5KO5E9kTr0ct4vNq7pHvDHRfyejoLCro5m2fv5r6Ez3ixj30a8JFePC3MKZpvILse5CXoE7LldwCeElR99mVnO/CQUp883Qj6pt3eXOZ5zgTrOzmGUtYz8CIvkQB45bHW8COykHTCIPccae4pcnmkoAkZAwCsa7cpktDWHCRXeDZ3NDKL8oMN5BMuPVx98P7Cd92znmm7ePMdX2AhQmvPwYP1w1qSn2JE2+QHTo0517eSH1igRJOuPu2WTqZS30gGAET7ucKR88irFGV4nnYZT/uhNe/e2R7Wa3uVscVH5KVgly6gJT5p3hove5z40Rbs6+aROehFVdaLeewIB4WAee4MFqBjH6bMN4cpDfRFefMaCPTyg3p5Mi95BK1Ys9WlPBnDi1Wc00Qf1h4WSJYg+zb537Pr9Tlyoj7PHGgYMpBhQrWpOexpI4HyHOAHbKA+TK9skBqFEZocNkQbk4lk0UoTbLj89PglAz0EGPEO3nvbicXk3kaD8dmIxWEMAJFDdCYVoILxyqs9Nl/vbTdpC1L0hjHaZwT3ljUERWCCkklugQM+8ni+9hIAMFfgx+BgPgYKUNIvplZ0UJ9nRwgKdJsCGItvp5iLlAXN+q0tr0lsxvPvFYeRAPAE2OamjxHbrIpgJ3+3grbyLSfYAEo2hPo6YbK3trzNx+ZujXFTJXiXQIi15rQJk7XJY4a0pXx6i5AjPcJMCgC0Nif8jALJ24+cUyBYyUEAccDdJuPeb5u5zZ6iCn/nEiCNiwFh0TgQZrylCTimHZc+O4L5Yr7T7nkuYYJSqv4sPNp+QwtejzcfCFZ4tHgCJ5djV3Ocht++os/SnSvT55LuzX5edjA7++e5oz1QFNjT0b2sRVfCKUtBX+llTAjzBCl7ujddEYyclTH/9J+rS1FwuG8GQhLeV+LNX3URkikwuKoRnEp6t67OAhBwrSN9LgEwKFppwI2wixfhX4APwFzaQE7SXiBPHEHfPDT3CHGAm/gSvCmLYKg+879ZX8k30Ku3O1rfBFQKWTxAWfQkyGo7MKNNnukFRtIFHjaUYOgsPx6ibfKTe/Dxen58gTzmbB1ZikyGn6hrNAR7kO+h4ClACDer0i7jAFwS0sXJR0GDFyonzTyVVgJluj6LN1Z4bUkbLVf9JK8Cl8auzGFXY8PrCcAhG7C6kg/wWfTQB0BYPLmY0kC5EuQxt4FdnhPk5AJEgBp0Q0/zAT3xU/UB78CN9VXqcsUP1Oe5Aw1DBjIWIsHdQtcJD7ZYCCFMStIMvnjBRgiEXHLJJQnyxwTFl6CsjYRlho+//NKYLRFWPOIwS1vcmJsJ6VmCAbDwlLH4IE+HzQwUzaGBwnwBGsDDAgc+MFmgRR00LqVd6leneFrJwpS1oeSXrg36Kp/A31UbIgQFZgcFzG0MlutVs34CGqGuGU+QpQW1idEmEtrqeWhRbGiYCIVEPa0bv4ESa9/6EPjh1teJdUoQsfYoFORpBryhCNXWnHQbLD5EaO1GO+fEOvBRQjt64aP8m0s/8Wdp+KA4YwIk42+0sXgnC7Q0gRCKDxPACJLK0ZZLmx0BKCcQabvAFaeuEfVMyiibpd/1wAuAgEvpVeLxcHnVRfPqo2zmZkk3/+rpFGr19JJvPF3xA/RqBkpH+21/6Whlz2XZKmPpBRF1HuSshXSClfzNYJ0TFku8OUfxKd58BagpNkt6t65c1cgRzb6TefApzyHcSyf34Et1ECMdb2NBKoojec092mduV/LUA8WrPCwjFFDN+up5B/KbEld9JRTgrqw2iCe/HHbYYan0SZpAqUzpW3gG4NNXfvxBOgU2eYtSWT2jJQCk+oO/UYbV2wdgUl6Q+7SXchzQMf4sS+afeSetBLxFf0tAr5I2Wq74t77Zc0s7y5XFXTuNr7VE6eNjyNareEGfWfZblbcHyIMHk6lZvMjr4gSv87bmyR3kZmtUfdZrq/rwFOUGEzoGMkxQNKzcWAbzwHZ5iysabUa7PBEfFBj3FHiWAIR2AimLxowZM56NHdqFJYYlBBDiuja02gZfmpWAxq8oRAZfQ5TohAJcg7jz0ZZ3Un40lwHMgX1a49HczmhbSsAxJQrL7JxGD0pXAhyXzbHWNwIvTTzL7Fhr+2Dby3vHHsjCN9iy4z0/TMA7Clipe1kNB106AjIsG6wlzMAWJpPlUBrLpAXtEaRoOWgIubgMpc4oGxSY0ylAE0o7xozrvNZQ+svEiwnZrGhWqqrvw6xDeVa7shggTRiNWbs8Ed99CrB40I4x6Xe/9pGt0Ss/7SesLCPbknh6fxRgZWZBI/D3l3espeNtZCWW0bHWdhYHVhZKprHW9sG2l2WRBbZuURhsHeM1P+sq6zYL/nDToCMgw4zqsJ7AZ3mo2i7mOr6F6hOYiefETXW4BzeeN+dTgObDGYBW7gmD6T1Q5BwAS89gykXeoEBQICgQFJgjKRCdCgqMCQp0BGTGRM+ikUGBoEBQICgQFAgKBAWCAkGBoMAcS4HRBWTmWDJHx4ICQYGgQFAgKBAUCAoEBYICQYFuUmDEgIw3JHlZwFA64xVuXis30DrKM10HWma85EMT9HTtZp+Nj3q7WWfUNSsF4i4oEBQICgQFggJBgaDAeKRA14CM98v7uNhAiOj98b4f4zWYA8nfLo/XvHmlYbv0Zvx3vvOd5PCnjzQ108bzvZcseOWed937Lkc3aeE7AQ6ke0Y36426ggJBgaDAECgQRYMCQYGgQFBgDqBA14CMj2X54M3f//73fsniY0nAzJ///Od+8/aVwZvTvGGirzz1NO9H9x2Ldu+pr+f1Uc1uvda2Xu9o+u3jQ9rjLTGsY/rsvpvBt0u8s77+TvJu1h91BQWCAkGBoEBQICgwHBSIZwQFRh8FugJkWGO8acz7xn1kqL9uvuIVr0g+fPn85z+/v6x9pvuIpY/89JmpluhjVLvssksayGsEfcDHNwhqxeeon0CajwvqlI/LeXVeVXX/lbvl1a4+QupZEYICQYGgQFAgKBAUCAoEBYIC3aBAV4CMj2JOmDAheUf6IYccktqds3BeguZf8LveAffOUijrWvLII829ePdCySeteV/S5PdbuiBvPU6a+1K3dPl+8YtfpNNPPz399a9/TdLlEy9dXsFvcdL8Fvyup0mvB3mkC36XNL89x73fzfR6fKs0z1Vemqt7ZYRSn3hBHOB5wAEHJN/qUUYe8SW4bxWvXnVIcy35m/HKSxPvt+C+BGXVITTTSp64tqcAurZP7V5KjE33aBk1BQWCAkGBoEBQICjQfQoMGcj87W9/S74MvdZaayXC8QMPPJBaWWV8cM/XUn0w593vfnc69thjkw9qEsqU2W233ZIPL/lS+U477ZRYTz73uc8lH/s76KCD0qqrrpp8lOmxxx5LBCxfa/YRN2dk3PsOzQc/+MHkq+SsKX47D3PZZZcl/7hNTZkyJb31rW9N5YzMt771wMeRTQAAEABJREFUrcSqwz1N3YcddljyYcFTTz013XvvvWny5MnJN3OU9dHOI444Ivm4mo/2cVFz7oPVZuedd07bbrtt8jHPlVdeOR111FEeOUvwtditt946rb/++untb397+uhHP5p+//vfZ7Dkeb5oDEAdeuihyUfBPFf96OPZO+ywQ/K9EGV9XMtzPQANWcJYmjbYYIMknHvuuZm26ud+x2qln2jKre/b3/524gr4k5/8JG288cbpe9/7nqpycM4JvfXDc5544okczw1Q/5x3WW+99XI5Y4X21157bdI37fMtkkKbX/3qV2m77bZL2qYvKlJGW+R9y1veknyDSDulReibAuaCM0xcAp9++umcWZxvORlLczdHptR7sV6uv/76dNVVV6V77rknz4vexJ4fXEHvuOOO9MMf/jDdfvvtyXruiU6PP/54Mo/MW2MsbqhBW631adOmpWk94be//W0CZvuq17y77bbb0tVXX53XJBBcz6/vfaXX887pvylejBd+1ewrOuNp5g56UWY087S6N/bKWcvN9AcffDDPK3NLeOihh5pZunJvruPv5oC2G3NzqVSuL+a/NlxzzTXJvNLukt7uai7NmDEj3XDDDXl+lXwl3hyVVnhXSR+vV3PovvvuS+YQntIX35aGn8iLlxSamaPkBWMlGM/Cc0qeVlf7lj2/3Vj0l96qzk7j0ME+9uijj85ShTmnr/o3S0KbG9/Ms+ejg4CmdR5ufU2fPj3zSnzTc9tU1W+0dtmnjYd9AL2ahawrY+baTGveU4KqT/uKPNXM4/4vf/lLuvvuu5N8FN7iRjqgY5nHt956a9LGvtqE/xhTY3Tdddcle2o9vzEzdvZQ44kf1dNH62/jTJ4gAzTbaC6b39anftmH5TFvzB+0wB+NLXpKaxekP/zww8neZM7X8+G19hb1mU9wgmfX8wzk95CBjAfbDHzU8iMf+UjyYb5vfvObqXRcI0yUI488MlsAHCo/77zz0ute97oMSKQvsMAC2fJhQtig9txzzywAc30y+YGH448/PgOmK6+8Mpeb0GMBwtiU13FCunvP9RXn4447LjkTA5zIw32KKxsG617Yb7/9EmGdYP+JT3wizTPPPLn9QIn6Dj744PSNb3wjOUNy8sknJ2ANSGJ1AtYIes5+GKgHegCcPjncDuiovx7kRacrrrgigziTwaT3TO3CoDEE50km9wAojNLAq1sZNATKgB75TCD1q0NbgD7X9773venwww/PzMPLDQCRiy++OMfpk2dtueWW2bUPOLzkkkuSMuoSPAcYAcaUw4DEn3XWWenOO+9M6HDBBRdkq5szUejJrRDAAqj22muvVF7iYFyNjTFRhwAMGZ/LL788nXTSSUkbCyiTHqE9BQhzBDVrrXy40mZnbIBD86Ve2mZjLn3pS19Kn/70p5Nxnzp1asKM5DM2wLy1hYl88YtfTKeddlrC2HxokzLAmN544415zSkzlKB91hxeAOBuv/32GVC3qxPT07YzzjgjAy2KEPOl5JfupSElfZ999knmVUkfT1djjT9QgOAXzb5bs1N6FDk2DDQ75phjmlla3lNsUDKxUDczqI/SqQQ8sJlnqPc2W3sGJRIlz1ZbbZXwWAKxugnB0gXzlFJGuwgq0tsF5U455ZS09957ZwUUQSSlmbkJe5///Ofz3MSvPLs8b2aO8fmXUIPX2MuMORqZd3Vq2K8oySivTjjhhGS/treVPMYIL1JesHYHQtvzzz8/K8so9Upd9SuZgjKtXXo971B/E+zwRtd6XQSyE088MSs78dZ6WqvfALf9Eh0EskqhFeXBvvvum/BufJJMYn9vVU9/cfYIMpW69thjj0zHr33ta7MUo/w455xzsmLXPj9LYuNGu603chMZSftarTdyinT9krfILI3qhv2WXEPpjheSQY4++ui2bSC7aP+ZZ56ZzF3yEp5RwAz5Bz9C2/333z9R9OKvbSscJQlkALItJXxzDWuifdacIW9az+RCoMMeQzacNm1aBth4Y3MdKF+CtQ0sojd+Uea3dLwCf7DH47lkkck9sq+5L30wYchAxmRYZZVV0iKLLJIWX3zxbBGhxSK0lIZomHw09YsttlgiJLEcODdRVVU+szJhwoR8XXvttfObxQjZQA2rCsENOAAoAJu55547P+95z3tefkT9XjtYNJRbd911ewHVS17yklx/LvDsHxYgjBSoeHePlWiLLbZ4NmXWi74Q9ICFiRMn5s3PwjfYzttwqXPu541vfGP6wAc+kNZYY41ZK+i5I7iZFDZ7GwEASBADLNBjrrnmykBpueWWy9YnZ1ZMHn0DtoAnzOLss89OGKZJ1VNt1ogSUlii9MfGi2FAwKwqaH/ppZcm9RFilekrrLDCChkAsrp4tjYAmBa/SQz0ADomJy2oRYDWaEEYQHvCFEHbWKBN/Xmf+cxnEisRDYcJbIxN6Hqe+P1cCtCoYZIsh+ZLyeHFFeYehlHiypUigDUOqDdHjIUNyAYjjw0J07UpY8KC+WOuSzeGLJg2UM8XN5RgvI09MOw5QDhh0vxqVS8mB0ixumJw1oENw/yWXzomu0OPtVI6MFdPl2e8BGNr7dp4m+uJVZtAwRpuQyFI4gXWdF/0IewDzjbtpmBG0bLssssmip0SnIfrq75O0gim5qENE5jCe4BtmkT14YU2Uhuy+WuzxEvxI+mtgn4RRtSHV7FAKycvvmm96Ata4fn2HPNV+ngO+AWFH4WHYP7g+YUm9iR0RzOeB2hqXVLwyWNuoi96lzljzBZaaCHJbQMBkrJL+VaZyBvmAc15q/RuxtlPzcm6QFbqt9+RB1rx4pKnflXPNtts07uGAL8ll1wyZyEcAwh4JSEaz8OrvSQpZxjEH+ATb1S/dT/vvPMmCiUySKmG0pEMZr9vrvWSp1xZ8K1DCgNC7cM92nbtLOmuFKi77757cgWeyC/aIG0kAxmKoteeZ32TRwjQ9sdW7bL27YcHHnhgMlfNaTIchYn85FqyKp5BllxllVWStUEBJH20BjKtvZP82WwjkAvEkJ/RyDiT7c098ieZwro2h/TdnGrWUe4p6r0N17W5LqxZc5JXkGegr/lHYVXKD/Q6JCCjYzYEC05DCb7QK6ZD+OH2pCFQqwkNTLgXLKaqqvzsDcr33jz7o4AV16qqUn/Mql4H4PNsNS0viEj4Bz5shBhxq4y0gqwMBCeTmuVHXF3722pC1OsicBIs0Yr1Yplllqkn59+l7fpqMxZZVVW2CGmrDYI7FsuQNAGg2nTTTZMNRdswR2gb4FhttdUSwVXZddZZJwMgwEG5dqE813iWPCYguhNEPUOwIamL1Yu2iKscaxKAaqGXvpQ6ypVlzOLAPGxoJT6ufVMA7QHGpZZaapaMBFgbaCt6sxYCPjZHAJn2CaMowMG9eWtOmXMEDqAIcy5r97WvfW12STO/ZnnwIG/Ml3e9610ZrLPIrbnmmgnDwhfMr1bVYZbyUmRop/LM3YRo+W0uSyyxRFpxxRWTdGvZeiDYSB9PwVjbbPDVZr9ZTPFqwgeeSMGBbixjzbz1e8oG42OzqsebQ6xfrDqs73gbENVqDtbLDfY3QKa9xrXMfWCeGy5wpT7WQ/uL34L+m8vWhftWgdCBL9JAU2AtvPDCqapm7kX6DCThZZ49oUfB5nkEtlZ1jac4NLEP8rowJuiMRoUGBBPyAMsIxR2+YzxKur2JlYEgaR0vv/zyiWKzqmbSvuSrX40za4ty9fjyu7/0kq8bV/Peng+klX2yXi/5hpJpIOuAYoiAD6CjizmGt6sXD8PrKG/xP8oka9Ua1ob6M/v7DXBZ78bLmvebACpefaX8fPPNl/D++r6f2vwjW1Bi6K/6gDdAqGQnF5BJPIM8SLivp5d8I3EFtAE4oMrcxbfQ3V7Uqj32JvzFXJdOqUJOdJWG56KtuW6PZYnEe8xL+UdjMO7WKaUEGtTbCKCRMwE2INt6L3OCXEkJZA6ihz1XefOgXkf9tzzkE3tEPd5vCjayCLnDmsGHzS2K9/6sgsrXw1z1m8H8NphMchajDacERGL+p3GxINWpMxoK4LgfYuhaca5eJh7BSBshw1aVW4QYD61ISbeBtkPxJU+5AgG0oMAPDSdtn+eV9L6uJg3GbzIxa9ZBjHIsLTTsBEX3mIiNmPaMSdnb4UxO7iEEmU4EUkxOmDZtWqr7f+oLDQdaoB3LlolokdBcaU8zAD0AFsGAcNJMj/vnUsA6Yg0DSp6b2j7GnKunmscYsI1HPI2qe4zGfVVVeTOjTSraT2Wkcw2Qp9Pwyle+Mp+rqpcnfNv4za16vN8EHRs8JudesMlrjzln7bLo1OdQSTf3ChBTbjwHmy3tW1NxYuPFj23qrejD2oqHU/A0023srM6EGdpi2k3avWa+od7bM4BsYKLUZQO1ceJ74vQLjyNkAyYETXOChVp6M5gz+LY9Cm24NNAw279s1OaO9VHnzwQ853/w2WZ94+2etp6QRimH19PaFhrwOCDEEQztFRQKgHBJx1MI54QX51tZZ+1RJb15tffhO4Ri+18z3b5KIUYobZXezD/Ue9Zhc4Hybqh1mUtoZ46TQVhLi3wB3FEM1p8BEOKV+HU9vr/f5rJxqudDK1YwoR4/2N/Gh3JXe8mBpTw3QOO/4YYbJjxm+vTpveeSS56RuBLCCcjmZ/35wKLxsMbr8X6T1QAUn5GwX/Km0S/HHexbPHQAe3kFfAPNC38SN5qCtUdud0a9OZesVWtY2ymvnEmktMcn9QHQALC5Q1JiOS9E7mS9kT7YQG5Ec/OolDUnrQnya4kbyLUjIIPp01wZWBaG+oMQh1ZeQ5hCCe82G5OBVsFGQsjQAWBIPcAPFyWE1Dn1EZgxTXHuDYB78VyyENc91O9eIMSXe2UIQzYn9bvXFs/EAN0740FYMvEwlbKpE7AwDpNeezFnGz8XFmY0i5R/IQ2HNmgz5q5N6m0GbSYcagthn7lSm2iwWC/QU7sICMrKX2hk8ckjP5qiF5qII8yxtNh8J0+enP2RMVtuXxaUTYApUBsdrjc25RkQMgFZ//VT2wv9tAEd3aOJhao8TSaTN6HFBnL77bdnjZrFzb1D/dqDdtqtHrTWH+Pj3sKwoWFwFgraoUl9MssX4X8UsFbQ0Tr6X+xgf6XEZEyAYOpVGiBwbQZjYU6Kp3GhdSLwue9WMO42vEmTJiXzq1mvtduMK/fmKpqU++bVfCvtb6aNt3u0MJ6t+o0vtErDV1jUaeXwwmZZ84cmGa9h2cA/bW54eDNvN+/xI6CDJp8VTt2ALcUJzTD+bCOeOHFiImRIbwagTv+AHWfO8HECNUWBOYPPNsuUezyx/B6vV8KL8xxccvCFOk0AREoPaxdvNy7mCSUgehGo7RUAMms8IRj97XXSm4GCEXDgst1Mcy+dEE3ocj87gz2V0Aa0E7SG+iwAHT8277jDOn+EVq3WI/rIy8plrQ3l2WQQz2RRRbtO6yKvmANAWMLkS34AABAASURBVFVV+QUbpS5yB75BHjBf9I8Ck9xT8ozElUxiH231bLywVRrBmtAORKI/vgh0tqoDTfSXUreufGmVdyTi7LkUPSyK5PFmG4A5siRvCfOd9crLmIyfvGTKYm1ltRF4S5CDpQ82kGfMZ3sI2ZxcyEpTZMXB1NcRkLHoTGLCOfNUXagg+DInmjQ2FZoxGxDGRRNA06AsBogBEeZp9fhx2qRoXywEQrM6EIvwTDNok7F52mDFu8cw3Tt/U7/nn8mXmsaHtoDp0D1B3sAABQIwA21jsJAq4tEeM+dy5zExaYWnTJmSDD4/PsFCZVngZ40xs3Rg1Mo3A9BAm25iaAvhAhMBCAAS7TeQtIrqg3BtuPxKtdnGrN82ELRk7gMIbNbawMUG7YwFOmL8NgDtwAABS+PgZQwAm3haBRsMcMlVDOi0kRNI0EddJr54/q8WsTG0WZnc5gBNmLpsXNzFgBiACmqn9bCRWfiAn7lgoRtfvqTcmjAJE5lA7dnqivBcCmAw5gdQ8dzUgcWYH9apdTTYjZgmptUGO7Ant85lM3UejmtP6xwROxIUsJnjqay3Nu++2mBjsyniU/g+l8S+8g81TdsoQPAxyqVSn7XBBRKf0g6uM/h+SS9XQpz9Rr8IpHgayzBghqe1nOOlcFwzBdCZNYsCwh4NiODdeJQ93V5lr7EP2Evsqywz9q1cQc8fgg8PAWffaOspAXuiZ/mvPkpEbjut+J5xtEfa28gVsxTu8o05Zd9zRq8+77rxGLyVuyQNOWBGqdes18s7CJdc4Jtpg71naQU27e+DLVvPz/pNXgFQjK+xJNdQshobcol1yivAurTHkyuAsno9Y+G3PukPOY3ylqxJ6G62nTxJZrU+mmkjfW/9AZLGjZWpVXsotvWBXEdOJ8fbB4wfeU8ZMqHA3ZMSiVxMISRtsIFlkyxNSUp2xovJ22hIMTWY+joCMghh8tKM8mcjWJeHAgEYjE3DxkB4x7iU4atN++/MBo0A1yTMwWQnDOsAKw9Ea1FjkIhPIGZZgNQI3zQX6nCPeboHOur3GIOBQXRWFJsb5mghqUubuGBhpPqiHxaeftAkYNIEP9o6A4boXBfEIbYXA9jIASZt19d2AyofAGNBQMQYAGDCVcx5GSgUvbQHYwCM1EdziE6Yvt80WDTqNNk2EEwQkzfp9MEkFA8gmrDaBkQ4LOl5JgrgoI+0CtrtECsmBBjRSrgCUiwugActFBpw5zBO2moMubt5PloBOPpuPAEXgAvNAFBaWgAT0OEW4q0uhAzjxXdWfQ7HtdLKa2eElF+ZbCw6pYWN2NrDkIDqUg+hpPyuXxdddNEEqJc441ZV7f3YS76BXq1pG4E1wXrXqpy51SpeHJDOHaCqWrdJert6lR9PwThSeNjI6v12jy/RqtfjrX+bE99x4y5QhlijlC80dvX8+AztMlczY1pP6/Zv4JeShlBRVTPHHi/xIgM8kgBN8UI5RHHSfL62OqNnbgAz+o8fOrxqHyGA4XPNcuW+3Xop6ePhan+3B6EzMFPWMv6Nvq7mHNri79wP8Xh7S50+lCnApHVun6+n+Y03AELqMwcFY00RZx+zt9mn6un2P+kUks3nqbPTQNbwTABAOwRtJgPQUPMW6bRu5dRHYDS/yCviSgDmyA0Ut+Ztie/kar/nvqbdeEIndZQyVVXlT0mQzfAGfINi29gbW4DP2JgHeLW1Sf4iD5Q6hvuKftrVfC5eaAzqcmzJQ9Yxz/SRsgNvJOfgiSWPK9mTXAh4894RN5oCkEn2MvZooL/WCplSeymW0cf42f/JlX7rjzHkCUQmJY/yziGje1GPNWFudtJXCgiyMOsPQwB+QlYEpOw1g6mzIyAzmAdE3qBAUGBoFGARtCkA4YOtCWOgYS8gvV4e47BJEvzEA0uEDsJHfaPDBDE2eYYSbBiEDYqO/rSLBCYg30Ze+k3zrr0OxmK+/O3bpWPUQ2nrnFLWpkWJRNNbgAZhiYaN9lx6va/ctgiplDYlsLSyKAPCNq56fr/Vh942OPfdDuqncKLsMSfq9ZuvhCPPF09zzepI8+y+HuQxb2zI1kVJq6oqUciYc4RvdKIwk+6ZhBkWemtQXISZFHBeE19AVwoSykG8BM1m5kj5RTXmTFXNBJ4l3pXi0lomOLmvB0CmzL9yZcGnwWXF5dVR4stVOq05j4Cqeu7z6vUP5jfeSflZnuOqzxR2XOsJfIOpr1Vec5LwZv2VdEpE/E1/S1ynV9ZMCs129O60XuUoMQi75gJFgWfg8RTd0gUgl9KgyW+kDVfQNm9VBbjsJZ5rb2Fl8ZZWPEBcPVCoa3uJI8CzoAEzJc7+yLVe/yi8S/xouhobCmlztwRrSXsBdf2nVDAHKdRL26uqSoCptU2JjxdaZ9LxUnXYW9wPJZj/wKFxofQebF1zCJAZbLcjf1Bg7FCA1twGQGPcqtU2KRohAlg93UZIKLWhcKmkMQJqaM8IGzZhzBsTVgdrIaYNZNiY1AXcYPyDNfUq2ww2DP6wnkGzrz00QpijvMzVtDxFiGTRY01ibaT1pFGi/SdYy88qqI8lnVaJ0N4UduUdD8GGakNwNW6lzwQxPtvoI52VnEaZS6o8NGLcw2hrCZU07qy8JXC9ImBxRyXMmyfcQ2065pb6CFs2O/V1M7CUcD0GZJxrMWcEm7HnWBv6wv0G4NEmmmeWG+m0wLTpLMbuzQ9paCEvEGT+s4TTHANCBHTzUN8If8A3q4/y4zVYf84KAIh4B+sIawzQgDehCysJ3kIQorRAO5Z59LTmuTHTvJbyhEGuYQRM5Y0zwIAXWcNl/pWrfNzAWQuB8BJfrpQvBDLpVdU9IAPclmeUa1VVyVwBcAmJ2s8KhAfrn3krrgSuabwQihsd3mUdAXPiKAkcICcMKwPAmKPWMf5rznNFR1vpgwnWADchgqh9Ql3cydVXrwdv0B70r8dbH1wFtUO6ta/t8pkX1h7h3vpRjru+dluj1iRlgzq4XOEf8oxUwNso6njc6K/9x9V4aJM9Cq3KnkSJaHz0EejBL+xPAJH89id7rLWgb2gr2Mukj5YAjFiHZf66WkuUN/Z7xybQxW+AwlzB/7woisJQAGDk58Vj3M0FvBE/1U9KRkchePO4rwc0tC7Mv3q8Z6C5vYjVh/uh/aaeZyC/A8gMhEqRJygwghTAPAjv3ATrzSAseP0tn13M1RVQkMc9Ey03C4CA9cVGQtjgr0yjuPDCCycaTO6ABFGujhi6Q3jqEGzMBEOMz32nwcbsfBQwQoujLQIBsWjHCTJcQks/uUjSenId5Qppw7GhYqjaIZ2WqaRjihhiSZdnvARuV2hEwLRJ112rCPu0bl7swWrCddWGUcaZ1pFwwm1iIPSyKaEzv2bjxyWB68hAyg4mD8HBxmi+ODtovpRQgIk+cG/hbkuI5aoAhLPKeJa5zrWYe4h7GkeusDZhbhMADGHFupBOkOSGbC5JNx+dpQGgpY/XYIzNG2uYVhqfYaUjGOIl6CKeuxiXMECEgoE7ThFMzLMtt9wycW8xX42XN84pK1j/1nIRIsWNpYDXckHCp/DT+pkxwh+Bl2CoT856USRRMkgjZCojTf/FW7PWWZnzeDVhUZ6BBvyASzieoH2lLvuBtFKPs7V4LUGdNawuiBPirT/g3toCprTd+GuTNeUMcgF0gB9hWDljbE8xD/Cn8ryRulLUUGywIqC3M1z4HkFemwBxbedC5Z7iQx+Nq74AbIAyd3z7lr0V8PEWv0JbV+Or/FgKFAXGCUgjOwDW5oM9l8utfRWvxf/xRuOPXhQU+klZah7ZExyFEAcQ4Qt4By8AMkqZw+49x6vVKTzsSRQUhZ8oP9AQQGaglIp8QYERogBtCsZK00GLXJpRVVWy4dF40XQw59tgpDsDQOMpP6ZCKycAFM6l0ZBWVZUwDtpCmlKCBM2L56lDoHGyUdG8uu80eMuUzYOmUjtKoL1y6F+9Nj4Ckr64x9AIPuIdCLQZ20SkCdpp0yjphM56ujzjJdCksaygHc0poaTed4I4DSlNLK23cyEl3fkS1j4CWImrXwkxNuwS5/sChCBzRrwNjTa8pHfrSjACQGymXJbKnHE11p7Dzxo4oyEmKDsLaOMF/qWbt+Z8sRqY96xLhDIaQGcjCW42afkFrjGAoP558Yw56DnShPEYABn8hCUVzQgrhG/CT6EHjbS3WNG+m2cEHG5H1rE8zukZO6DT/GTlNR7SBOUIOrT57puB9pdCpxlf7s2RvtJLvm5caZfx0Xpd2q5/2k/A8yKMkg646TdwLs6aYk0Wb46z7hQ6mZ94Ot6tvhJYuAjTyg80sJJQULHSlnpcrXfruNQDXHohjH4BUgBrSSNgKqMOPBcf1nZWUuCMoEoBUPLLo53G25oE1NDKHCp5RvLqjB0eaO8BZFiaS3u8BMEcZ20Sp82EbfsPfkDpZ5z1lzslK1tznNCK8kX50RysFcDaHCnt5F5G0WP9slbh785uSbdWKR6MJ0US7w7jb2+Xjm9SQqKnuSLOuSM8FHhBJ2ug8FrjgJegKcDuDWjmjnKDDQFkBkuxyB8UGAEK0KoDHDRltMXD0QSbLu0b7SowM7ufSQBnSSL8zO5nRf3/o4BNhnsYbdz/YueMX8AZIcSrmeeMHs25vSBAc3XlQjin9RIIo1AiPI61vrHIA0NDtLqOiW5TtFGMsSqOiQaPokZyI2T1JysA48PZtAAyw0nteFZQYAgUoHX3WmvggmvMEKrqtyiXMr6rNCq090Vb2G/BIWSwYfI5L64oQ6gqig6CAvyduWjVNciDKD6qswL9tIysNqO6odG4BHSyCHs5wJxGDi42rKLOIYy1vrGIchcbDwomVgN7LLezsTZOI91eik/nxLzJb7jbMucCmeGmZDwvKDCbKVBVVfLKRP68fJVn5+OY1AEK7iOdmnsH2z4ghjZnsOUi/9AowHVgLApYA+m1V3F7M89wzeGBtCnytKYAQZ9LbOvUsR3LdYxSaCz2guvQnGglazUWXorCRapVWsT1TQHnaABeLsF95+x+agCZ7tM0agwKzDYKADB8c2eXYFYa7kwATfZwWGLKM+MaFAgKBAWCAkGBoEBQYDAUCCAzGGpF3qBAUCAoEBQICsxKgbgLCgQFggJBgRGiQACZESJ8PDYoEBQICgQFggJBgaDA+KRA9Doo0B0KjHog4y0SXnfnNXG+m9GdbkctQYGgQFAgKBAUCAoEBYICQYGgwFimQEdAxrv6vXu6qqpUVVXiR1+Cd4oDHd5gkLrwzzvZvZbVx3aGCmS60JyoIigQFAgKBAWCAkGBoEBQICgQFBgFFOgIyPiqp4+MecuID4/dfffdCeDwISBvffC1ZF9H/fe//z3kLnqLiQ/q+PCdD/IMucKoICgQFBgMBSJvUCAoEBQICgQFggJBgVFJgY6AjJ74im/zlZ1LLrlk2nvvvZNvEviiqw/kyBshKBAUCAoEBYIC44cC0dO6CLGgAAAQAElEQVSgQFAgKBAUGA4KdAxk2jWO1cQrYl1LnmeeeSadc8456V3velfyYbLzzz8/lQ/6/etf/0pXXnll+uhHP5omTpzYGzbaaKPkfMxNN92UnJG55pprcnU33nhj7/3FF1+cfCRwv/32S4899lhOb/7xnK9+9av5uSxFgNb06dPTNttsk5915JFH5iKTJ0/O95MmTcr3d9xxRzrssMPS4YcfntuuPffee2/ywSRxPpg0sdbeE088MemLDwkeddRRSfqmm26apk2blut74IEH0gknnJB22mmndNVVVyX1bbfddvmZE3vq8Vtb9XnffffN8WeeeWYuG3+CAoUC5p818PTTT5eo2XJ9/PHH0ze/+c1k7c6WB0SlQYGgQFAgKBAUqFMgfgcFOqBAV4CMsysCYf2LX/xi+ulPf5re9773pRe96EVZuOdm9vDDD6dLL700A4jdd989/eAHP8jN/fnPf5723HPPtPXWWycuZPPNN18+c3Pssceml770pel3v/td+ta3vpWUV6Dcn3rqqemvf/1rLnf22Wcn4Ih7mzz1cN1116Xvfve76Rvf+Eb65Cc/ma644orkw1QHHnhg4h4HnMj/mc98Jvk2x6233ppYkv773/+mL33pSxl0PPTQQ/lZhLopU6ak2267LZ111lnpiCOOSDfccENab7310s4775wAOODH9ze0yXM+/vGPp5/85CdZILzgggvSxRdfnO67777sigfUve1tb0tc87bYYov0whe+MPf5zW9+cwYym222maZFCApkCpjfJ510UlpggQXSi1/84hwHPAM25uD111+f4+p/HnzwwbT55pvntfj+978//epXv6on53m544475rNuVVWlRRZZJJmnXDrf/va3J6AcwJ6l0BBurKGLLrooLb/88v3Woj9VVSVKkRKqqkp4Q3r2n7X53ve+t7f9Pn5ofT6bHJdnKXDXXXflj6mi47rrrpsK33s2ueWFModLL17WMkNPpLOQu/fw889//vM9d7Pn/+23357wRPyZ0sd8x5/rT7vkkkt650BVVWn//fevJ8/ymxIAn+ZVsMIKK6Qf/vCHqV6f/Wu11VZLPuzmzOf9998/S/nxekOJYq+ef/75k4/l2q+btHjqqafyXrvooos2kzKvOf7445OPlJqHhx56aN5Xn5Px2Qjzrqqq3vVfVVUeY3t4qv0je1C62E/JDxSjteSu/aSIxBe505988slt6zWf7N0+EEjOaJcRLRZaaKGkvlNOOeU52Y477rgknRxB3nlOhkFEoJF1Yw9wbRadPn16Wm655TKt8WZyUzNPq/uf/exnWTnr22bvfve7e7OQo6xZ42wNPfHEE71pI/3DHDWP7aNrr712lgPbtYm8WeiiL0JVVVlOK2WuvfbavB7wi4985CNZvitpo/nKa+qDH/xgIiPU23neeeelpZZaKi2++OLJvMPjS/pf/vKXhNejg3nLSFBPL/maV3nI4Ouss07mq7fcckvOsttuu2W5W31CVc1c4yU9ZxrAnyEDGZpbm9073vGOZBAvvPDCbI0w+J5vArOmACUI50N7XNCAC0INpuPFAb4IatHuuuuumblJU945HIzTb8E9ZuV5H/vYx9IGG2yQn8eSQdCTpx4QEMDAhN/0pjelL3/5yxkwaMPcc8/dm5Vg6Pki5p133rTSSitlYGKy77XXXskLDrSRkGfyY2irr756tvSggXK392y4JgEgA6ARBB955JFEcHv961+fhcQFF1wwC5ZAnQW+ww47ZKEOqNJ+7X300UeT/qGVeiMEBcwL83DFFVfM86VQxLm073znO8ncK3HlSmDDsAlr5igBdvvtt0/KlDxAtHmmboF1k7AoHajhPmqTLetRfKeBsEigxiOagKpZp/5efvnlGUix5gpTp05NH/rQh9LKK6+cs9ucf/nLX2ZBQNuFT3/60wmNcob4kylAqGBpZuml/Nlwww3TJptsku65556c3urPb3/72wRIEhqNRas8+NXVV1+dlUMAdas8Q43TRkKjPaZsqn4/0GPhLnWzgptTxr8E4Lyk169A+UEHHZTXi7kPqB9wwAGJQCafF8sQTMx5PBr/ZrVXTvp4DtbjqquumqZNm5bWX3/9RPl3880395LEPLEerVUv5+lNePYHmtrn7I0ERGWn9CgG8alns/ReKBPxCvu1+gSCvXlr75bR+jdekyZNSsaI/IGv8PyQ3s1AAUnQIgdQulJcokf9GWQdc2mfffZJ5BSAWP/qecpvMgFgTqGr/eartVZPx5elm+/N9JJvoFd04QkCoDTPLhMa8QT8FY8mnAKFrfaU8rx//vOf6Stf+UpWDgMxZDwveZKOJ1DMAn7krte97nVZMTtjxgzJIxoI4mhpP6Sg+MQnPpHQn0Ks2TD8DW2AUvOvBHNQOfnJtLxxKE546pj/5Dp8VvpoDdYnvlrvt/7yArLOzMUf/ehHCV8999xzczfI2Oa2eQsM4o/SGCpyhjZ/rFFzGJDhkcQoAeSak+Rh863Q9uCDD05vfOMbs+KqTXUto4cMZAj0GkgLQaCiZTBhd9lll0QgN6AYlkVhsrtaJAAIguiQTcKGZRFxESNAARAtW/xsJOtFVVUZzQEhz0Y/57LmmmsmwhjtzzHHHJMWW2yxjDSfk7FNhLbUk2i+77zzzuz2ZjAxhde+9rU5i35iwK76ipERDNdaa62c7g9QVe8b7ZSFAgDZNE2wsvjljxAUQAGAH/i3btyXYG57+UZ9TpU069G6wlhZR2k/CJwYkHmLcdGq+v3//t//yxbGT33qUwkQV4eN24aMORNAxM0Mnf1VH003gE9Z0FcthKItt9wy7bHHHmnTTTfNYeLEiVkjSymgLMaKkS7Voz0iXLCQch8lAEiPkBKB4+tf/3pWzJg7+Ca6VlWVvvCFL7Ql0RJLLJHMCfyyXSYbEcvO0ksv3S7LkOLLfsAN2H7iypKiUnPS1dzFO/FdCqbPfe5zeR7TFkpvBjyZwAXwLNpjNQDutb8InJRmhDD7EmGd0AL4WzfNusbbPQHDXkUhyPOCcqOuzaWRttfhGdZ6nT5PPfVUOuOMM7IruD0P7SnxjAUeVc/rt/E03sa9rH8KDGXL2P7hD39ILB7GBjDAA9SrfLeD9UAIA+T23nvv7DUCCNefQ77goQF8UaiwWtXT67+b9Umr1yedwO15hEegrRWdlBtIMMdZY4qytl7GmiDnGF/xxnDBHoUrgdN9q3D66adnbb22GQOWcPnIcpQDNP0UvWQztCDbTJ06VZYRDYAhMEdg1mfgl2KclaHZMPzHnMNTyhzUL4DVvXkHkAMw5qq9k7II3YYyVs12dPve2gIezE80KPXrCysoAwFDBNmCZ5V9lUxKBuBdBPiRNyj27SnHHntsshZLPfUrsGjdkHutf0dIYAZ51EEhYN2ip8CKaUykDyYMGcjUH0YAIlQRnGjzaF6qqkoarrEmfAkIZXG+9a1vTWussUayIIAEwlrZZOp1d/qbJcgZG2dQgASCDg1lp/URrKBYG9yHP/zhrB228anPK6g9b/fdd88MVl9prUwY6a0CMMc1RlkMgNnX5ELLVvkjbvxRgMaSdsu6IiwMlAI2G2uvzD/CxYQJE7L2mWYKw6Wlo1ExhzGVJ598cpbqbXwYOlA0S8JsvsHkCmApj6IpJ0RZH+K4kInDaK1FmjHClbQIMylg7rCu1IEjDSr3EcongsfMnIP7a/4cffTR2YWYcDm40gPLXVVV1s4RJqpqpsuBzZVGHr9UC80qfn7ZZZdl7TDh2GZrzkqvB3EsL67WgTTriSKK9tH+gO+ijzQgiSKOywxFgLghhTFeuL4e8Q7jYP8eSLeAXoqH+jykgDD/ZsyYkcgC9XoI0oVvlXgKRIoQvEEcbbHxBHYKuBE/OwJAUeoltAG8rMMlzloiBHLj1cYS3+5az6M+Aj8hueRvpuuz88AlvZtXfTMGwKkxspYogAGaVs/Bdwn+hFyyCyG15CPkk4/0p8ThD+YO2YaCqsQP99V6BmKsce56nk+xg6eQO5t7n37hE/U5S3EDZPLYsZ9SdvAoUheeRAFi7votbjQGlm3AlptXvX1ABysohVCJxxvNTzwWGMVv9Vu6PvJ+ENcKuFnbQD0ARLYtNFdWMA7mht+CvQqYN6/cDyYMCcg0mY8H0wCyxND2Wnw2gKqqEmGpCBmIJQ+CIJ7JbSMRaNcQEpHUN9RA0KE1sjAJPN6oZkG1qtcibhVfj1MfTQlkL7D0EPbkAci4PLBK6ZM4i9rk97tdwIQJkkx9zuXYOLvV/3bPjPixQwGbjHnVbmNp1xMmfvMIQy55WCtYPa1FDNnLNAgImBrXDxZEDKjktyFhOCw3JW6krtaHtYFvaANtEAFp2rRp2WeZ0oB1WFqEmRQgcOHDrHB1fm1zxqNsUjNzDu4vzSMNJLeRwZUceO6qqvJZMG0tpWgNAVmAVhwNPBcX85l7B19/ijDuZtLrQX+5OVAeVVXVm2RNSLNPlEhCDTchlh8WLGVK2ni+4g32aK7P6M6PfiD0AFoIuUBmyW8dC2SB+tws6c0rty7Aqapmjh0NP9BJgWF8CMss181y3bqngaf4oVC6+OKLE2Gw1M21raqqxBuDcKZdtN4lvdVVfWQIlk9uaoTGer6S7sVArdLreYfy21oin7FScMsjnzlzTCBvVa/zwSxsZD0KaVp0a0Ve/bZezRH3JQAMlB80+yVuoNdu5cMTAHDtq9dJmUFhYV+sx7f6DbA612y+2VvRyO+Sl6xH8SKUuNF0Jb/qP8uI9tfbZh2SV8nsJV7fqqrKbsj6SkbWx2Y6GaXElStLNgsl2QJPttZZa4GVkqd+hQU8gzxcjx/I746ADCYPwSKKDYAwBIRA8ia0RU4gYnoi5NP0WrAWCe2Jg3mQLgEL8Wyy3E2YImlWd++xaKgPGGJ6hvjcywtRY4juHZrnw8g0qi00Bc1OQ5HOCdDeeGmAzcrik4+ViC8ggAOlQuw2Nc/QP30jJLEuYSrKAEHqA4y01wsEDjnkkETQdBaBMMXPEPPxm1Zc3zA4A0XrxwxuQ1BfCSw82kVQG+jmUMrGdc6mgHlPUCOQzo6eWounnXZaMo/N/dtvv32WxwA81s0skcN8Q6tjPdY1laUJXCKsYxpSQAYzLmnj/WqTdi4KH/biEYIefkvgZz02toOhER7JOsfNj+A4mLJDzWv8CcI0dtrerI81Bu+1gdpvmumDuUczewwXYYCN4DaY8nNqXmPPOkzBwQXE/jwQEELAJROQDbywxNkC503tz8AwIacvmtnn7c205/IRivEpc5CLJJmEdYAbkDkiT7cDAcz5Kns36wjhn3XPPZAF2Djja/7xxgAMyDrt6EOBpD7z2pwGzNRX2g1ESwcY9M3crqeXfN248oahoKUVN6bmvrXerFtbCKescWQWshcFE+uscSAks9agCVdmyjRyF7mJAkJo1jlW7gnxBHayX6s2A2nmHvm1VfpIx7HMWzOA9B6ZbgAAEABJREFUeCdtAXjJ5+Ra85rMDfACiGT9Zp32YXIxKxVrn+eTNVge0bKe37wGoIEYvKWeNpDfHQEZjbCoAQHAhFYUwzeIfKoxKgwFsgNWMDzaCUK6xQ4NFu0Ds5x0wWIuJjtmWswKMSwwHbSZMGGVe8IVcAAhC3WkWDqvPkwAU5B38uTJCbCQbkC4imGQZSEfdNBB+QwNTaU0/oLaUIAMrTjrCUamvbQvhCz9B7y4yLGqsCqx/vCnJYDSBDpQZ7NFP4KpNpTATxOAcSiqxMU1KIACtNDWgt+DCa2EPeXNNevS73rgy4rRWFf1eJtTU3tTTx+O37SA/JDbPYvlgXWUQAT4tcs3HuPxIlpr7mQ2C5sxXkoQGSw98FhgkfLKuRKBMEPZQytNyTTYOgeanxuRTQ4/pylsljP2tH+sBXhyq3RzuRlf7gnb5Tfhi2LOPgbc2z9K2ni+mjMEXeeuWGopCGmzB0ITgJBwa47YUwk2QEzT5aRVXbwcKAdLGuUmLT/higxhjwU+7dPkkHbgoZTv5MqNBmBxLo9liPIHgCLAqo+sAVhpi75SElAYEOqlNwOtPcCtPkpRSk/1lXyEQ89zELpVesk31KuxALycUdAWFhZKD0cDmnUbazTWT0olfSUjOWvGakS2IRux1pEFKZvJPuQdFvRmfcN5j2eQ9Vo9E+/Ql1ZpJY78aM5RCpW4ciX7cb/ipsfqUOJHyxUABTooELh74duAsz4521UUBRRfrdrMRV2/Wb3J/ORwZSkiKOCLPF8v6yyOue9sFjnZOveSBHOEZbOe1/ywN5GZW8km9bytfncEZDSakG/yN4N4oMCGUx5o8IEHGhloVcdLmsObJj5QUepCLCiuqqresybSlHMtwXMIN+Xe4iv1lqsFR0tCSwBUYEBlMmPEDqIJGComjeh8c9VV6gW8gDIIlGWFRYZrhXQTAjgBtKqqyq+5xXCls9YYfG1Rh/yCNpd4aYIJhikDeu4jBAUKBQBcgnq5H+iV/y4GgXEoY3NnWsdQgBlx9WCOs24QDOrxA/o9GzMRWgjKNtq+HoNZWrvcjfrKNx7T8D38z0FNgIBGlVA5WFpUVZWAXcKbTUywWdHKcc2wYQ62zoHkp9nj1uFFMdwP2pWx1xCgCFnNPPi++WE91LXN1oSNujnvzSdzzr5D+G7WN17v8SLzyf5Ggz/QMScoEnrtxbwXCOn2XHtvX7Q0x3hGGPuSz35LMDXvSpx2GUMCVInr9hUQBjBYWyiXCPbmDnmH8rP+PIoDQj8htx5f/13qYw1XF35dTzef8WTPa5Vez9vpb0oigMOY6hvQaA0BrM06gRwKMsq1ehrhXT/1V7y9h1KX8lY93O69KELaSAV7Hr5nvdfbAGjZY/vaN1gMvI5enrrCo9RDsFcPQGdMS/xoudr78U3jh09bU/ZVvJuXkHVkzMkGFAyl3dKMKZAuDp2cNyejmwfFqmieSq8Hz0IrdZR44B4fbs5zfASPt2ZK3sFcOwIyg3lAX3kRjEsI4R6ap/myWbFoIBjG1Ff54U5jdeEW5i0VTK/aS1tCq4IZQ/WDbZOBtTiAIy8iGGz5yD/nU8D8ADKaDLi/nnNLwLQwWXltNJgFgUB94uoBY7MZ28zq8bTw1mM9bjh/Ux7QtGOcfT2X1pwvPmbcV77xmmZDokXGt7ipEMAGSwuKIa64zlOVwNXCnMK3bYaDrbO//PYJwhYgZjPuKz+Ntn6yQjXzVVWVWO7xXO4x0gEUmkVKNoKxuHogFIunKazHd+v3WK6HIA9QDHafJvDRzps3wDTBpi86ADw8FQhGJR+tLeUgLThgKr4IR0BsVc08RyN+dgTzBtClDDU/KC657eCv5XkEOG0Bckpcu2upr92aLOme166OTuMJs/W9BRhk1TS+zTrJODxxCPX4bUl3r6/2qhJHOAXQ0IE7a39rt5SbXVdeBc4juZb1D5CZj6z54ts9G1jHJ1jGmvnsjyyTBHxgqV0dIxnP0sIaUni2q5dgsTKSZ403sAKQWm+lraztDA2UOSXOFfAFVCnxeVqJawagRP2+8VXSeEsAPQBfiXOlqKBk6lTOGFEgY0PhO8kSwfWBpgawYQ1BPItGJ0dLsNkxqXPNICTa0E1w7gcWfyftBF4wdWd00KOTOqLMnE0BGnChlamfWwAzLVchgBpTLtQArm32hECMlkkY0yFAyMOVzFkHfuusjfxYnXHDaKQLNjl1c6N0P5RAK2TDI0irl58t4FTqpL0DogCXEkdz7p5Ft8SVKyZJy6f/mC+GSSFQ0uM6kwKALL7FGo5O3D5oxGempsTHnQCFB5c4GjvnBM0vbmQ2rpI2XFdaUPPSYXvCgk2zBJp97fASCgKUPpkn7s3VAnrNDVZugqb8vAkIxdyfzRdXArJ5ZK7Z4K0JrwplBSSA2Y+UU368BgKIV+w6tEuJR6Fn7fJ2KEDEXuicqnEwdlzz8I5CM+ez7JkEYfQ2ZnWFCi0+gYqreikDlFJuehtYiStXFiFAk9u6NhkzXhpctkqeblyBCGdzCKrkE0pXV6+dLe3XFvRhzbDG9BPQYXHSBlfCoPmsPnOSYMla4dyR+rzZSX3Szbd6OtpJr/Nm9Q40UAbYH4yZNVF3Hza/CeAEW8/hckTQt+7UT+4BxsoBfnyae70+aju+AUyWNca1j8LE2Wh8BJ+nmVdXl0LH1bBusUrzpLHvoSn+Uc6N6Dsw5sxP/SH6h2Z1vmm+21eVxScLb3I1V+rlx8JvCgkyATcz7sP2BbIuLyvtt5bNV15U5oZApgCSpOPR9mmyO6WC81AUFbyNzAfrhgLNWaqmrGv+cxlWTydhRIGMBtN0QcM2TcyIVs+ClzYag4NKJru2YtSYso2w07ayRpk0fCuravZqkTptY5QbWQrYRGwKhDQHQ0trAAPMlYaIe2RVVbN87FI8JsRlAICgNQfAMSx1YLhewIEB0ZqZi02NOosOS46NWJmhBMINrRbNi83Rc1mBSp02BIKM83clzrO5JVgfJa5cbUJ4hfMQ+gqEEQRKelxnUgCdAVwKE8Ie61ZdSWRzt7ETTmeWSImm0ibG15+WrK5pLnnK1UsWCKHlvltXY8+dhnBqzpibJVAAeY657TeBiZsDi4u40j8KAAKaQ8fyCwQZAjkXOxYFAhkeTrPu8wEENeuK4sDc4yrMAqDseA2EOxYxAi9BFa3wFq46hSYEO6AZzfAS4JfwU9IpLZUnyNjn/S5proRj42XuuRfUyd2bnOC+HgiVNP7GhrcEAEoQ6zYP4AZOeKOsNCcoYZy1pXEu7eE254wYfgQEACI03UWAN6fMI+XVhwYsx+YgMIYvl/qkm5P1dOuTNbQ8b7BXQIZwyYW/qqpkfpc6rC1r31gaI2uO4qM8j3DKtQ2gVMa4OWdBKQa42p/IMNamdFp8YwisUgyUeqSNhmDtmyf2DSCmDlooxyjUvYii3lZKDue48YkSb24KDsDrez0AoSXfaL0ab2uu3ieWbPRgoSNrmJcsNfpgLTvHQklECYGvmvfSBPF4sb3Y3iHOngPw2+dZ8PBe+4W0emDpsp7rcYP5PeJAZjCNHbG88eCgwAhTAOCgaaZVK02pqioR2ggNJQACJd2VOZ82k5DPrF5AjDQMinkYYwci5BVfAqAEVGAwtI0lvtMrBmdDL23lZ1vf5Gx8hCCWpPIM2h4bZiuXCkKnuoA4/e5UW1meNadeacjQCe0JR81+ojmgWNeI2eCVKaEvoGJj6iu9+byB3hNQjX1pQ/1qvNUDZBFKpNkkCZLmmTSB5hu40Xf3AguC9loTzivSDlbVTCUSoY7lSn1eKsNbQH7lxnsg9KALYdicqgsxaIO3sJTJIwA6gIk0QRwNrvlWgKb4EvAnQjPQVOIIzZQogFOJK1d1GG/rX914pDaU9G5e8UfP4H1BcC0Apf4MgiwBVr5mHjyY204BK9LlK/URAut19ZdezzuQ3wRUzyuhWOVLWUIt65p0SjOgraShKwHfOipxxqWMNQsn61NJI8xaWxRnrfh2yTdSV2dYKKQBFn2otxHfM07S6+1DD4C6HmeuOUOHZs1AMK/nHY2/rU1rurmO7QWUFvigfb/wU/mtNXyR1bPJF9HRHmKOy1v6jKbqI2dY3/h6SStXc86cKveDvQaQGSzFIn9QYAQoQKCnpaNFonkejiawxtDAsNx0ouUcbBtpbgiSwNlgy0b+zinAXcBYEzw7r2V0lqTxFmzAo7OF0apCAW4nBMC6IqOkjfUrCxSg0zwbMBb65Q2yXPy4Eo2F9g6ljaxOrFUUfEOpZzyWZbXnagi0DIe8UKdxAJk6NeJ3UGAUU4BmhPbZG0YcpJydTWUKZo3h+z1clg6matqb2dmvqPu5FGD1qFssnptj7MbQHNK60sKOkV6M22ayCLCwzIkEcHaPJWos9o01CY8Yi20fbJu5sbIMDrZc5E+JVc9Ri6aFZzhoE0BmOKgczwgKdIkC/FltiPySu1Rly2oc/uZzPtyalZaNicigQFAgKBAUCAq0pUAkjGcKBJAZz6MffQ8KBAWCAkGBoEBQICgQFAgKjFEKBJDpcOCiWFAgKBAUCAoEBYICQYGgQFAgKDByFJjjgIzzA14POX369ORVkF6bN3LkjScHBYICNQrEz6BAUCAoEBQICgQFggJdo0BHQMZ7xr3JYsqUKald8M0L79juWksHUJH3u3u/uTdPnH766cmHnuof1xpAFZElKBAUCAoEBYICo4gC0ZSgQFAgKBAUaEeBjoDMX/7yl+TjNl6T6L3Q3moEQPgmhPullloq+YqnfO0ePDvifaTy/PPPT95+ctxxxyWvPKy/37yTZwJHPvr0pz/9qZPiUSYoEBQICgQFggJBgaBAUGA4KRDPGjcU6AjIeKe4jyD5GJD3onvFpe9c+P6De2leYdfqwzezk7KXXnpp0jZt8YEpH3BqfuRvsM///e9/ny666KJc72DLRv6gQFAgKBAUCAoEBYICQYGgQFBg9lCgIyDj69De9+7Luu2a5SuoXMt8vG/GjBn5vMqPf/zj9I9//CNxTbv99tvTNddck2666ab06KOPpv/+97/p73//e7r//vvTvffem/74xz8mZ12U8U2L8hzxt956a7rhhhvSz3/+8/TII48klh9WE2WfeeaZ5HzMAw88kHyZnEWF9ejaa69N8sjrWU8++WTShoceeijdd9996ZZbbknN8zS//e1vky+2aqd2PPHEE7kZ6vBs8doo/r///W9Oa/7RPs8HiDxffmALbZzh0VbPVof2Kq8d2qWP119/fdIXcdK0XZ033nhj7qc+o5s0z1GfoG71+d6Ie89W9j//+U+uT73Cww8/nMRpj3HSLx/Hu/nmm5N0ZQXtVl6+X/ziF/nZ6OO59fC73/0uW+v+8Ic/ZJqisbZ7hraqU7+U1b5StqRfd911eWx9lEq6oA/mkTjjr236bxz0XXvU69mlvrgGBYICQYGgQFAgKBAUCArM2RToCMgMhJ3oQmMAABAASURBVCQEXkLsZpttlr74xS8mZ1Z8WIkAe8YZZ6Tjjz8+XXXVVfmMzWGHHZaAFcL7F77wheQrzJdcckn65je/mXbfffd09NFHp+LadcQRR6RzzjknXXnllekzn/lMrwsb4ZYADshwMfvNb36TwdGpp56afG1U4HLmWUADwfcjH/lIOvHEE3PbpBGY630j2ANVhHICtnJeJnDKKaeks846KzmLc+SRRyZfgf31r39dL5p/A1Hf/e5381mdqVOnJl8u372nP0CNvmmTfhx88MHp85//fAZ5BHrt/+pXv5rBwte+9rX0qU99KoM2Qj2ggQZc91iK1HfmmWdmcIgG2267bdphhx0SsAd4PPXUUwlNzz333AxYxMt/9dVX5zFQHgDSppNPPjltscUW6Vvf+lbad9990+TJk9P++++fgNILL7ww0xMQPe+883Jas8/6yyo2adKk9I1vfCOP21577ZWAxgsuuCAdc8wxyVfEzQVfETf+CAXolHT0kG4OaCPQ58vcO+64YzrqqKPyeE/toaWP3GkvOigrv483epY659RgfgPeANzs7KO1AHAa79n5nJSi9qBAUCAoEBQICgQFggKdUWC2AZnnPe956c1vfnO6++67E1evXXbZJQOT+eabLxHUJ06cmEHM3nvvnTX3QMJiiy2WpBPSVlxxxfS5z30u7bbbblmgB1JSzz8AACAiaPtabk9UWnTRRRNB9w1veEPyIT8CuPoJYtOnT8+CPbCw3XbbZdDCAvLKV74yAShVVeWyAE/zI4PO+3CXW3755ROBfJlllkkXX3xxtiLt0AMWWGsI0KwVzuYQurWnBK51zg0R+F/96lenQw89NDlLBMwBFITx0q4f/OAHSQDogCT990z0AeLuuOOObGECeBZffPG03377JQBl/fXXz1dWCSAEuPPRxDe96U3JGPigITc/9NEeYAJtlAesgE3AcP7550/c8AA11rYTTjghockhhxyStN1HGEt9LHLA1TrrrJPq/+aee+7k3JT+TpgwIQFcgB7B23O14YADDkiHH354tn594hOfyACWtUj6TjvtlEo6WhovQGyFFVbofYwxOeigg9I73vGOXL8x0Za9e+YR0Mha1Zt5DvsBmAJtQAZa6x4QeNdddyXA0BwRVwLga/5bL8AoUAwIlXRXQAXtfdFY2GijjdK0adPSPPPMk8wdc0MeeYcagHQg+AMf+EAGxwBzsz31ZwwkvzVs7LVd2GabbbL1t17PePlN8YInUAa06nNJx2dapZc4So2PfvSjCT3rYdNNNy1Z8hUvrKdfdtllOb7bf7ywBb/dYIMNMn+g8Ko/o6Tjhfix9WCt1PM0f9tPKIsospppLL/4qL5ZDxRG1lkz34jej/DD8aCdd945ezXUm8LbwvzaeOON69G9v1nRv//97yd7Um9kHz/6y1/SjVMf1XQ1Cc/iPk/R1qpie6p9/X3ve1/Cc1vlMWfNr2agZCz5KYPJMPbBEtfplQfDJptskt797ndnGcQ+36ouvN4eTM5qlV7i7Mv2cfWRg5r1URR73oYbbpgoHtMo+meOUkYbHwpsSu++moffFH5AHm3mJ3uR5d773vdmZWuTFn3VPRJp9sz6vNOn0g5plP3St9xyy0SB34r3kc+sc4rwd77znYmcX+qoX8mR+LL66qHkt9eQi6V5OZd5Y9+v1zGQ37MVyCywwAKJwLXkkkumJZZYIgMbQrg3mmE8BHYMwaZD6AJigB5CtfzOubzlLW/JloTSuXf3LESCLOEYgVgg2nVU/Sw7L3vZy5IXEmAIJjFBm5BWVVV67Wtfm7TPOR9tbVdXiSeIeYHAa17zmlRVVQI4tINQxiJR8rmqT18AJP0RPIdVhTUBICAwogW3q5/+9KfZVU775OO6t/TSS2fLj0nFvQpoAlLmnXfeJHzoQx/KAITAKr/FCXBwpUPXYqHQT4IuwOUck+d6vudyXZNXfeikb8CMKzD6rne9K1ugTGigSv0rrbRS7r9+lgAo6S8gpa+CfECbtgEd8iy88MIJiOHWRujCrKUvu+yyqZlusZgH5gW6qxNYVYe+of9CCy2U1F1VVWK9SXPoP4KXcVp11VXzurJmbJosltKMTb3r1gggsvXWW+d5vv322ydAqJ7Hhsq9E90F69OcQ2+0NeY2Itd6uU5+s9axzppTADvm775dXdauF3bIj8HKDxjX81sTNmltFyhDzJF6nvHw28bA0m1TsJ6bfe4vvZ6foGmNW/cl4OXWWT0f0ITmJay99tr15K78JkToFz5nr2Dp9SIXyi4PADqAF/N19dVXz9Z6XgBcUKW3ChRJ+CBFGF5cz0OhxrKL17AYU+QQ2LgR1/ON99+UR9Zznc72P8I9Kz7w16RRPR0IbqY37wEG9VG6tcov3RhJxyua5WfXPcWPt7YCw/Vn4JG8CQBubs4EwkmTJtWz9P7Gs+2vZX252nvJQCUTd3Zr7Otf/3qJ6uiKP1JkUaqSRSiI8dJWlaEzId8aaZVe4qwxe8dpp52WCPaE+JJmPyffUEx68ROwYJ8v6SN59WyKLx4qJ510UrJfUNqIbxWMI1BOSW6OUfbKT/aQ3/6jrxQthHH7FblT2mgN2lt4tqt2ayulAAMBRdC6666bvYDI261kKrzT3CYvmPPkRXXUg32IvMoYYH4Lq622Wj4+Ir/nGQvHICjFyb+eBxjW6xnI79kGZNo9HJKjuWOh8RtDaJe3VTxBBgK0OCwUnW+VTxxCsVIAQQIhkLBnAKR3EqBtDEtQnvDPumPjr6pK1HNCVc0aT9Py4Q9/OLuDaZdAKNUfhTF8efwWpNGAebY+0JqIFwAygAQQcG8DNmEwP6CtWL+kYfwsJoQazywBMyKoyNMM6rdw0RmosHBt9vrczNvuXn+0vZ4+ocdiU1VV0u6Srp/p2X8lHV2fjRrXF1YrmjLukIUQVVUloBbIbQqZ8gCKNl1Am/AHKNY3FHOJBmSNNdZINIfSaKjNJ+WNDQaDsQBF4joN5uwVV1yRNTz6QQBZa621snW2KRB4hvzaA5DLT6BZc801M6inxZHH/CZg0igBbPIT5AkE0sdTsDEQLglHrfpd0gkWrdJLnLVI4LE5EXgE1j68tMw9fMNmSGnyla98JeHnaE/hUOrp1tUcZcl9z3vekwhP+D7gjZfhFzZB/TbPacG1y3xidW/XBkDXnAHUm3kIZ55pTZn/rMEAkmc2847He3s2IZBFHP3rNLDuPvjBDybCCNrV0/yWDpC2S5enHuw98tvPqmrWPVQ+6TT+7dLl6WYw7+2nhN+qem57CLDmH17qShlZVc/NZ/9kkbLvWl+COVxVVVpllVV6mzxx4sTEqkE52Bs5yB/kFLyWcpQCWBspf7l4N3k6AZaA3t86xmspTgFIewVQRqHGg0PzPNNzCMNTpkzJSkaKXmkjHXgbAOD/n707gftsqv8Afq7+ZalEkoSQJVKWECGNJfuahIQhoiSypYSxU9kTIYayq+x7DLKXEEpSKKEkhGjzn/eZzjN37vx+z77Pd15znvu7Z7vnfO453/PdzrmEGApsfKhxjIFvts37pkRBUykDCYEEFmsTAVN+tMJvniLqIjCihdKGY0AvKbTRS0pNbTWHtNV40H595vmDh8Qvwku6QHFBIYpvoPDiNcRjR1ozwNUYQZeNcQHN5SEiLz6UEt9aw6pHYQrr+vPk604YdEHGIkPDZVE0ON75znd2p50deTBVTNpMsICyP6UjsfHD4o0B9+JKEveK+n2J7+4VM+iF0xQqY9ISMkjsLDDiugqsCeqoawMtoCRfghFhizbGRFKXNG0mPJg4LBwWFGmuFg0MiivNJMJOg02zgmgajPKauBgSzJ/JKM7AtOirx32rgLhauAzEsoh5Tqu8reIQfu3Rh5LONK2vmKaSbq9OSYeBZ3iHJW5avWIu7Q8i/NY1dl3hYSGx2MvnfRuflADuBVYRiy6tMwuZ38aHtBIIxoRQC1+J683V8y3WpT0WZ4TfHBaadbbKb97Law7IjxZo82677ZaPXEdY6woAeSL0DAHMJq2ZaymJVlEosI6L475pEaR9RMMtRBggaf0dCB2YpVJvVVWJYKF9xgL6oL1on8B6h6YU2lnKdffKes/aYzE3P2hk1YVR6W4dozWfeUeggwsGe7T2s12/WB7wE9bXqppSQLF2caXmflmnsa3qonSyntbTuPBYB63R9fi+/rau47WKotKaWqwx3mepn1KIQmL5iUot/EmJb17Vhwcw7/Ac0nlImHMUVeaO02LFC57B+wPD6n4og3lMIWYNoqDQFrjoC+GsufbBBONfF+xYIDDjmHxrDb5PHepCj5prrPjhErTXOu494SVYTilI4aKN6Czaykrj3jvF+5V05Xl+2NtNCC8YytsqzDdRWc0TqKQZGyw0FBni0HZrSnkeLGGLp5bek9BnQUYnuSdhmDHf9YfTnOo8bQBmTJp7jDkmBFEkqStLwsO80LQRDAwi+Zk4EU4Mt3uaNOBzX0IQgCNeukVH/ZhmcSwJ6iRF25ticTIADVzMmUmGAJU6lGkGwgOhhSZGwPARhtTjWfpBAGH5wZg3y2vLc889l/TD86R7eRg5liGuNdrFJ9WgQcyYpkn5mFeMGqFtlllmyS5w3Cu4txFGTByDyuJLu11Vk4iretRBC19fcDClNFwYV5oSBAkuNA0YA0Im3LlraGcJ+kUr6nQ574emqaQ1r96V96kO7ZOOobbPSB3ePUxMBC4hBi/TpknjPRkr0k0YfqnS3SMyxpn6vFOCjt+sDq7a5urZrqMpwNIYg2Nv+gVTmhPWlfp4MAaNEWPAu6J5p6mCb3mOPBYq87TE9eaK2DcJn/e51FJLJfO4Waf8xkw9Xj/q+RFJFl0E2Tw0vuyTqpeJ331HwOJPa4dGqA0tooXlnoWmsILR8EkbqGBNQCcpfwhPaBLBxeKrPeW5FCTGU3OslfSurhhJGke+3Z7Dlc06YoHvquxoT7c+WHutIZjT0d7fZv/QQAIIZraZZj7gcaxLxguMHETTzNfuHg1GmwtT1y5fT+PNWW7X9XJ4EQI/RrLE40PEdba2y2stth41McDsGx/4MPkEaz0+g9sZfkTcUAY8BN5NW+vtwEviGyho6vHeBTrT5GutTfggWJT8yh977LF5CwMhocQPpytllHGJZ7QfheLPmm9d1U4CrP3mfgtoLt64CKb4YOurNZhAZC7wIjKe5O8qPPbYY3nvbVnXGTGsH6UcnhzvgU8pcd299lmQ0Rnmfg1g+i+Txmlf9keQriwKGHN5gEVDMG7cuISR5p5AQgYYJh0jRWCwcGK4aTdMCP7XBpoBY2IYjNycLDTMmtqBufdSvAyCAUsEv0b18+mjcaC9BajFCtEx+Pbcc8+2eKnXCyU8EEC48jChqku9mG97b7jvVNUkQaJURlAzgZVnTmPGk8Z8RouJcDC9EYqY5C3AJpXJb8Bh0DD03CrKy2eCgzOiR/pnnoMTAUjdAq10ddCYAAAQAElEQVQLLC3E9juIK4E1jEaG6Vv9/BdpNL0PghMipRwrTSnjSlLWDs9Wv7hm4BtrI7cBya/Ue5QHwaTx8D6MD4KWycBlSB+kGwsYU3mk2wciHXHUF3UT6kwq7dR+zDdNKU29dhGq9QOenjtaAgwQzvo77m7fMB7mkIXS3LIYl7LGrzEIO4uuMWU+cTEoeRA/mhWCVInrj6u5x/2AlcaC0bLOWqT8xlA9P1pi/JrL5r4FRj8J07Wi8bMPCFj8jSFzv1RDuDVHxZmT5ifrTH3clLz9dUV/0Fp0ghIE09is2/xnrUYjKKCa6d25NxbRR3TZgm8+oDOEpu6UH815rHnoBXo9mvvZqm/WYco2jH5VTbnOy2/NwZhxzeFuafxZlygBpHcW8DVcaNHpzvL1R5p1hDWVtwYhR51cebSXoqyrcc4iY54p1wwUtSUNP2etpyizHcDem2b+wb7XNu1v9VxzHK9aT4MPPpSSlFIV74kPoXS3LsKs5Pfu0QzvnnKtxA+nqzZbywkKFJtomz6hqa3ayRrlHRYljj0veHG8KGEdD0aBiOdrVb4Zpz68uXW6mebe+kEBhca470nosyDD59AANhBcCTAaAAADoMRjzjHAtP8EGwPdICfs0LIRhmj41KEM4QSjXe5dMXK0uBg7g9LkQFQtqkxWygnSCEvagfiQPD3PBkQCkPzql1e92iNvq4BwEZgcUMCtB+NNaMHoG/hFWGlV1gBQf3mOhb/km3/++RNLi4kFQy+wpGHQaHhYfGgDWFtKGiYCLlw59JMgVp9QJR+Bi29iuS9X2ksaVJoTg5KZXBoBQFu0VXxzMBnE3mdnxBZTWe8vS4u6BRocjKs2s6KwrJlY0gTpCEA9HVHVN6ZQ7VI3gs+f1W9x2mpfB+2IexMTY6XO0RII5zTNvekPIZVLHwJMEHfsOcyadVVVlU/VMz7KHC55yrgv9329Yo4JJeYdob6r+uQ3NrTdvGmV37ymsSfwUFS0yhNxPUeAosTiQ8HSqjSNJeWQBZLffKs8/RHnnaL9mEMLMEt6s16uP2gm2k8gaaZ3556yjbCvHvWxCFNUmT/dKT8c8gxEGwh1BFprHqWBACNrN+UX2jsQzx0OdWJcrUFojH4L+mtuYM7QZ/eUatZ86zelEbpJ+DOmOusHvoRmu7M8/ZHmfVEuUqria9SJeaTE4qWiXwJFpLHPja7Zdmu2dVnZZpCGPxKPLhCa1Iff0j9rtLShCtqtja2eX1VVthY00yjavUvvmsIMjaMoE1/Pi3fCU3Kho1jG49TTh9vvqpq0H4srJLfGZvvwUfheCmk8gXQ8CL6TVxJ6j8cn4LHUoA/ytAsUT4QeimpyQDOfsWEusWa1E3SaZer309Vv4ncg0ESAoESocu1sP1KzXNz3HwIWUAtDb2tU1gJLcFYHQuzaDAgWoZllsJnWX/cWRoK7vWY0Q13VW/JTSHSVn/URcdWPruqdVtOramptcjssKBUwqhRIFCjt8tFGep/cstrl6Y94Qi+LHOsM5rlep4UQs0kxQ/Cqp/Xkt8WWoEQZYrG274H1mJDck3pGW16KOwoQG8ZLwPCyRGCEMPKjrc+lP5h9XhWl364Uab6tRplKyEdj4VHKuNpvQgmDhrlvFbhy89Qw3lql92ccxhRDyUuk1MstiGJYn0owtyh/WaEwryWvq7WBoMaN330JrErchKSXOAwrTxqKU9jYalDShuJKsETLMOP156Mds802W+KmWo8vvx3MQNijiCUMooWUqSXdlZBEKY9HMh5gKH44B8oetJSypt5OSn8eTeL1qaRZV21j8C5LHLrPcmUMlbhWV/OAMoo1p5nueQwFnuWZzfTu3Icg0x2UpuE8fCKZEA14p0ZNw1AMWdedCsKS2U4A6W7DECK+7fa8tCrDmoGo0KDV0xHl+gJVT+vJb4s/rS4C2p2x1NP8CCXmc6AZ6p70eSTnpVFlieXm6Z216wsGBSNHI90uT3/Fa4e5UGc6PB9Tya3H++/Ls1iqzbPCmBtLtK9dLdR9eeZIKOtgDsJcPVCwcNnm6o2RGwn96E0baaW5gtf7TrNPQ+8EMDhwx2b5ro8Twg9LBwa63XOVQd8pYNrl6Y941kzP4j6GES91Ulxxx633jUKIVdPJVU26j2kldLFQoLfqYX1QP3cj81NcPXBhNmcpPOrxg/1b22w0R9cIdZ7P8sASwCOI4CWuVbAWEWYIrlzeWzHkyqlDX71T98M5sCI5yMU2htJO6z9FDo8cocS7UiQRXJyC517AM+hzM6+0erDu4z94UNXjCdaUIcrzHqmn9eR3CDI9Qas/846QumiLTHQfGjRgR0izR1UzMVPMrRaLVh2jHaPZs6DU01lhMCBMv/Jw53PAgr1I8jEr0zaVdO8YQa8vXogdDVZ/MKncwywC9ttYPO2rcBIeJlR77NFB0Iw39zRgJT+3spKfK4Z0GkDn0COmzPrcI91bsKRPawEDjpFy9d6a/ad5bJXOr5sWkRtMvQwtmrFRd3uVbhxxG6XNJUSw2MK+M4ZNuZ4GbkzcjwkSxoxF1lhhmaNYUR+3Hu5mxjeXMGNE4Nsu/YYbbkgWYMoY9yUQWLSfdlE/S7x6MV58yGmj5bGnwL6ZkmdavNLCY0LqATNvDho7BRPvCGYEwSY9kgfjQjhulc6ahqmi3ZdXkL/U5x2Lqwfppb5W6fW8vf1NUKn32291UQgJhDh7V805e8a0iTXD3HAIEJy4c5lHhAllS7jrrrsSl+xyX7+qD4YwNc7raT35bZ+OOQQfAov5YXM/qwKhBtOtTyVY5/WZ9YKrmL6J41bluY4m1xfWSu1Dw1ktrSfWCsISyylXdMIO1yzMsTGk/FAG2wKsZVzd0ELuzdYLm961Szu9U3TGvcDVGj2wlspHYBNvzRXn3eonoQhTzt2KS7w8wylwjyW4opOs7YQyQhc+QTvRO21nleaCiK4bK4R0gh8+xG/7q1horSfos/WANQV/AlvjQ3314HAACg9Yl3g0GD/CTRidLs9zCBYraMnXnWsIMt1BaRrOU1VV/tZLin9DhgBzLs0f4ooAlYZgBpiALRRcr+wVwpSWdEIJjQvig0hYuGjaSrp4xNgmahuoHWJRhJySB7GyOCHWJa43V8TR4s40z58W0yxYXIt2y4JqsUNw5demZn5Mjr5qAyHHHjLYYAgwEQQ+adNagCXfZZpdiwbs6hhIp0GWzspaT8e02LBpjNTLeDesMcZfPZ6GmgXGgkMgtXDR1NXz9MdvTJSFkYBkLBunGASn09EMY/CMJQyJhVcfS8C4aYOyvsdhjrgXjBkHXFiYMWIOD8F8SuOWRvuOOXcAC0aFgF+fN/JFSPkYbDgVLNAJTC8XNAwTBsc+i2a6/Ret0o0hVgw0SxmMofowiVyU1EdhIU0gsKMBBBnpmOd6ujwDFTyvbmHA/FLU6BuBzLhybzxpgz2gBGrj1L1gzJlHTQu4NAGTyApgv6u5RiAR35PAmo65JnCaK2V+qBdT36ou+2fqFk80mWJAPfJXVZW4nnn32kX4R3OkoRWEN+8dXbAmeS/1/cHyDWXAiGsPGsA6g7Gvqkkut/qE4XYokjaib/bIsSbos76hS9LQFlZgDDkc7F2m4BmuSg/jDz0lvGlvVVVJf4xBfAWXb5Y2c6iME1f9LGs0PgAm5h3+gYVrxx13BEeCC4HW/CX45Mj//TFXpf3vNnmeuSCvseI5JRCuyhpf8nd1DUGmK4QiPRAYBgggOBYJpzKV5lRVlTBYNlQKNGaY1ZKuDIuaD5k6Oabpf2rBlW6BQ5ho4EpZV4ISLQuiYjEV19tgsdPGZqAB436hXm3EpGJW2+W3mJb8NPHqsxDp97QqxMCOIAKLEuAovoTO0lnCMIwOgyj5XZn6Yex3PbCIEIZo0RwoQjtLK13P01+/LX6Edf3ywTQMFSFG/RZgzK20ZiDUyUPbyPe/vi+AWyPGq5TR91KnMjTT9gRKd6ITwc0iLW2EhgFpNr92gm6pHH2ipYebIN37q6ezBEgTmunKYrAI1sqwDNfzm+d1pp/wQGOsLoHlrJ6ujoEKmLCmIEBJQBmkLSyU6Fh5vnYSxgnPJc6YM07NnxJXvzpNVV0lOEG1nt6d35RD9kaWOsrVWoHpblUH4YN1paQR5p3IhSaXOO/ISbTWFhaZOu2lWPIcafpdL1fKD+WVFUqb0S9jrv5OKC/QAzRCG70zfSGksDqIqweMPFpICGD1pTSpWx3qeYf6N2GWgKat1l0b6wkp2sVqiLYSlvW3Hgg+8pRgLbEfEd/gGGd0WBq3XuuBeUH4FVcC7wpjptx7Hm+QVs8jKJV83b2GINNdpCJfIDCECNBS0CrbWEsDORhNoWli9qW5oqka6GdiRDynnavFQD9/Wq2fmwANGjP/aMOAS47+EXhGW99GW38wRpQUTjYabX0jjGNwMbojrW+YTe59FGMjre09bS/rAPc/Lsop9bT0tJ2/WMYpV5uCzEAjE4LMQCMc9QcC/YQA7ZqNloQLQkY/VduyGm5FFjBmcibpqppkem+ZuZ8iEUDfAKEx66cqo5puIMDaRhNZ3GC6UWTEZHFcN00jbeGIafQ02lAaYlbBouEdTTCwehJi6paLkdI/lhuumixgI6XNvW0nix5a2PRO6G1901I5Fh/YtbJcDTQOIcgMNMI9qD+yBgJdIUDTwYe3bqbtqkxv0vl0W3xZSHpTvjdlqqpKVVX1pmiU6QMCVVWNWtyravT2rQ+vfFgWrapqWLarPxpVVdWInWNVNXLb3tN3V1XTTl97ik138ldV1Z1s/Z4nBJl+hzQqDAQCgUFEIB4VCAQCgUAgEAgEAtMoAiHITKMvProdCAQCgUAgMK0iEP0OBAKBQGB0IBCCzOh4j9GLQCAQCAQCgUAgEAgEAoGBQiDqHZYI9EqQcdb7z3/+8+QEpWa4884700BvRB4OSDor/9Zbb22JgbO4fcxqOLRzuLbBRwzh51Sh4drGaFcgEAgEAoFAIBAIBAKBwPBFoFeCDEHllltuSb6O6pQhx/Kdf/75yfnPTrjYbbfdkiPshm+3+94yXx71DQ79Fw499NDkbG0fB3L6ijPFfcyvj09KL7/8cnr44YfTSBeMHBns41wFjx/96EfJ9yj22muv5MNgJT6ugUAgEAgEAoFAIBAIBAKBQHcQ6JUg44NhhBVH1XmI41n32GOP5MM5CyywQPLROh+GGs0Mqi+6+tCa/gs+EuTeB4ccj+sDSvWPF8rTm+CjYb40PZIFmb/85S/JB7V8XLFg4DSsqqqS76PEx+YKKnHtHwSilkAgEAgEAoFAIBCYFhDolSDTDhhHw5avuHKveu2119plHbXx73vf+5Lz1rnfsdr0paM//vGP07bbbpueffbZvlQzpGXh4CvH55xzTnr99dc72rLxxhtnS8zpp5+efCisIyF+BAKBQCAQCAw+AvHEQCAQCARGIAL9Ksg899xziTXiDW94Q1pkkUXSm970KwmrFwAAEABJREFUpsRS4VpVVbInYrvttks+eHfBBRckH9378pe/nFhxfJTNx7DsvSk4YoKPO+645ONECy+8cJp77rnTI488kpOlnXHGGcn3NBZbbLG09957J/su/vvf/6brrrsurbDCCjmwDAkKPfXUU8kzll122cT1i2uc+P4M9s4QPLQLBv/+97/T7bffnp/7kY98JC255JJphx12SE8//XRm7F988cX0+c9/Pn3gAx9I3KxOOeWUdM8996Rzzz03x+vPlVdemVZfffVUt2jU28yFbcKECWmmmWZK3NxYyL7xjW+k559/Pnkn+vnmN785n2PP9Q0GLCKsJPKUun7xi18k7wGea665ZiKIsQSdeOKJaZZZZsnlt99++6Tut7/97ckHDMuzWahWWmml5INfG220Ue6feo888sj0/e9/P/d11113TVtttVU6++yz8/ggwChz8cUXp3nnnTfXr52HHXZYHhvw8kG78847T1XJ2CjtW2uttdJvfvObHB9/AoFAIBAIBAKBQCAQGGwE4nlDj8B0/dGExx57LLuVfelLX8rMpT0zmGeMNXczTLDnXH755Vmw8bE97kaEGMLIgQcemK6++uosiGy44YYd+2sIMfvss0/64he/mDDTL730UsIYq0s5z9hmm22yUGLPBQZZHvt1qqrKe1bcP/nkk4ok9dmncfTRRyeMuN85oR/+aD8GXHsJMH4TGAhrO++8c8LwX3vttYmgwtKy//775ziCH6GOEKMvd9xxR24NwYUw5sYHEK+//vq04IILup0qOGCBcPSud70r2bt08MEHJ8+Hq35uO9GqQ1BQkDCorjFjxiRucAQ68SxohJFXX301wZIAtvXWWyf3W265ZVpqqaVky++GxWnppZfOQtITTzyRuBmyxhGmll9++XTJJZdkYZIFZt11100EI4XhT6hRn75V1aSPJxF8tJkArJ4VV1wxGSMw8r4333zz9NBDDyU4/Oc//0nws3fIOCPQqjtCIBAIBAKBQCAQCAQCgcC0hUC/CDK08BjdsWPHZuHhqKOOSosuuuhUSNLgY2wvvPDCxAXrJz/5SZphhhkSCwLmeLbZZkt//etf02WXXZZYCuwNkT7//PMnzC0G2V4cVgaCAybbhnHPZ+U57bTT0nTTTZfrtD9lgw02SKwvmHyNsR+DtYQApN5DDjlEdL8EbVxuueUSIYkg9dnPfja7TGkHSwfhxl4QjLrAymAPkXZgzjHyZ555ZhYuFlpooSRPVU1i9Kds4JR3LCY333xz+v3vf58tUFIJNCxCLFH6K64EbYSX9wOrK664IifB/M9//nOy/8m7mXHGGZO2//KXv8zp5Q/LGKsKocThDuIJLIRF1iMYi1OXeG1x31XYbLPNstVKPQ5N4JbIHY1gqyyrjb4QyLRB++6+++5sAZQeIRAIBAKBQCAQCAQCgUBg2kKgXwQZWn+CBisCwYJA0gpGzDk3syWWWCJr+jHhVVVlhr/kJ5yw8DzzzDOJNaXEs+6oGwPu1DRuZNI23XTT7A51//33JwIDgYYL04c+9KGEwefadumll8qavvrVr6ZNNtkkWxU+8YlPZM1+Tqj9wSzLw+2pBM8gYNWyTfUT87/aaqtlF7DFF1+8o0/FHUy/q2qyYMKSoJ9czQ444IDEJY0A+PGPfzxbaqZ6wMQI+UubypUAxE2NMEQompit4z9B6Y9//GPHff3H9NNPn2+5thEMuewRRAiI6ubOJoN2uZZAQJL+/ve/Pwur3AK5wrGQee+sJSVvT67a472xBBFQWI1YYMSrhxsZwci79Hzp4uP4ZihE6BKByBAIBAKBQCAQCAQCow6BfhFkeoPKXHPN1cHs18tjxmnd3/nOdyb7JQg2mFWMesmHkWXdcP/Nb34zYX4x4awS8mGoixAjD0sHFy5uUH6zJBC+uF4VVy75BJYhJ4URskpgQVKn9J4G1qZWZfRtvvnmy8cqs3CwONgnw8VL+5SBhWsJJX9pl+t+++2X5phjjmyJKvnKVXk4l/v6laube/2Fhfa4Z1kjZMGTkEMQFN8uvPLKK4mLIIvTDTfckFjc6nlZfcq7qse3+s0qYz8UQYZVhgWv5CvtY1Ei4GofYZawU/LENRAIBAKBQKD/EIiaAoFAIBAY7ggMmSDDPWiVVVZJXIhYDVg8WAYw1Zhhmn+WEYIMKwFhBpgnn3xyZty5jBFoaOht4leHTf72TrAO3HbbbXmvBksRZlqwH8T+D3tuMOhVVaXuMtme3ZugnSw0hCwCF4uPvmLauUc9/vjjefO8Tfrf+ta38ob30qbilkXouOuuu7LA1mwDDGyYJ+Tcd999OZlbF9c8ByuwguXI//2xYR7mLEWEgY022iinwENd9vQQSETau6O9frcLhA4ugCxSBNBmfnUWdzMC0r333ptPK2tXn/028hFkq2qyBUs7vUP7muzFUZ4LHyz9jhAIBAKBQCAQCAQCgcAQIxCPH2QEeiXI2HiNSS7uPZhTVoWf/vSnUzV/9913z5v4JXz6059ONvn7TcN+zDHHJHFcvuxnIYRgnrmeyWPjvDTM9xZbbJHWWGONRCjgbqReLl9OBHOUr/0uRTtPCMLkOtmKAGG/ij0s6vQM9Wi7776wgojvaXCIgfpLOVaU+n2JZxGRRiDTR6eGETxYg7ibEVpYPnbZZZfEukLwGTt2bC4uL0FEW6+55ppE8MgJjT9O9yKksTrp27hx4/KxzZ7RyJr30qy99tqJsGK/kY338miTo5AJQYQJ9cwzzzz5NDFYFiHJnhr3yggETwIM1zR7j5zAJt6hBsqwZKnLKWm+rcMF0Ol1LGFcxYwlz1VGINyOGTMmOTWN4CJOWHnlldP48eMTodWhEur0Trm2SY8QCAQCgUAgEAgEAoFAIDBtIdArQcY+FYwqawJrgf0sGGMnUTXhw/RyBZLP5n6uTCWPE7SOP/74ZEP5hAkTMpPNglLSMfEEFIw+gQUTXZ7hVCsf3qS9d1IXwYLQYCP72LFjE+HBKWkYZ0cGc7NykhehRj32fnzta1/LBwOU5/XkimG3QV6/BM8p+0rq9RBUWFu0nzDihDGuavpeVVViSXEiG5c3guBNN92Uj5lWB6sVCwkrBBwIPuKbYfrpp89CHlcrfXvggQcS604d61LG3iDtsK/GiWAEDWnqJiwSuAhE6rFfh0UFft6xfjqSmQCpjOC7QfrOEuMAAwKtfNpg/w+hk+BBgLWXxkljq666alJGPvFOa1OX4HhlgpsT39yXoB5Cl/apW/vsSSrpcQ0EAoFAIBAIBAKBQCAQmLYQ6JUgU1WTXLIwufVQ16AXGDHy9TxVNdldSB5lSrq84uqhni5fPc1xveKEelll6mlVNemZ4qqqyntzlJGvXl9PfqtLHc3Qqo6qqrILW8mrbMlXVVVyr/3S/U61f+3ia1k6fipfQru+iW+Xp6qqDmzkqarJuLkvQR3loVVVdfRNW6uq6qijqiaVl79etn4vvt7nqqoyHlU1qWyq/auqyXUrV1VT56llj5+BQKcIRGIgEAgEAoFAIBAIjGwEeiXIjOwuT1ut50rHYsViouf2CHEF9DtCIBAIBAKBQCDQAwQiayAQCAQCwwqBEGSG1evo/8awXHDl8rFQH+R0yACXvf5/UtQYCAQCgUAgEAgEAoFAIDAlAnE3kAiEIDOQ6A6Duu19sVfFfhfBZnp7iYZB06IJgUAgEAgEAoFAIBAIBAKBQK8RCEGm19AN74LRukAgEAgEAoFAIBAIBAKBQGA0IxCCzGh+u9G3QCAQ6AkCkTcQCAQCgUAgEAgERhACXQoyvucRYc38XZPAIXCIMRBjIMZAjIEYA/UxEL9jPMQYiDEwOGPAp0OaMlaXgoxvpUS4LAUGgUGMgRgDMQZiDMQYiDEQYyDGQJ/HwGWBYW8wnGOOOZpyTOpSkLFZPMKbUmAQGMQYiDEQYyDGQIyBGAMxBmIMxBgYmjFQVVN/P7BLQWYq0SciRioC0e5AIBAIBAKBQCAQCAQCgUBg1CAQgsyoeZXRkUAgEOh/BKLGQCAQCAQCgUAgEBiuCIQgM1zfTLQrEAgEAoFAIBAYiQhEmwOBQCAQGCQE+k2Qufbaa9Oss86a/va3v/W66Y8//nhH2b///e9pzjnnTPPOO2967LHHOuI7+zFu3Lg088wzp+9+97sd2V5//fX0/PPPp3/84x85Tr077rhjmm222bpdby4YfwKBQCAQCAQCgUAgEAgEAoEBQCCq7B0C/SLIvPzyy+mSSy5JL730Ujr99NN71ZLbb789HXjggR1lCUT/+c9/0r///e/0wgsvdMR39uPJJ59M//rXv9Jf//rXjmx/+ctf0lFHHZWKkFTqe+211/okdHU8IH4EAoFAIBAIBAKBQCAQCAQCgcCgI9AvgswjjzySbr311ix0nHXWWYlA0ZOe3H333Wn33XfvEDaUfc973pMuvPDCdN5556VFF11UVJdh//33T1deeWXabrvtOvJ+4hOfSNdff33HPYvNQQcdlK644or0gQ98oCN+2vwRvQ4EAoFAIBAIBAKBQCAQCARGJgLT9Uezf/vb36aZZpopzTDDDFkYuemmm1pWe/nll+c88q2zzjrZ0qLsiiuumO688840YcKE9Pa3vz0LNausskr+COVWW22Vzj777PThD3+4o+zKK6+cfv3rX6dtttkmx2266aZp7NixaZFFFkkbbLBBdi17+OGHs2saAeuuu+5KSyyxRLb4bLvttmnxxRfPdd93330d7TzjjDPSLLPMkt7xjnekk08+uSP+iSeeSEsuuWR+DkvP4Ycf3pEWPwKBQGAaRCC6HAgEAoFAIBAIBALDAoHp+toK+0/+9Kc/pb333jsLAdzAWEW4bpW6uYhxOdtiiy3SF7/4xXTBBRekn/3sZ+mb3/xm3rty4IEHJntZCCjPPfdcOvroo7MwM/3006d//vOf2XIizodw3vjGN6bNNtssLbTQQumUU05JO+ywQzr11FPT+PHj8/4Yz+U+Rlg64YQTchMIQYSWAw44IB166KFpgQUWSPJ5praxIu21115p3Lhx6aKLLsp5WGyky//ud787/e53v0uf+cxnsqCWK40/gUAgEAgEAoFAINAtBCJTIBAIBAIDgUCfBRkMvr0xa6+9dlp33XVzGx944IH0q1/9Kv/259lnn03nn39+3kMzZsyYtOyyy6b99tsvEVxYUeTpKqy00kpp++23z3UQMp555pl01VVXpY033jhbUprlHRLwf//3f83oqe4JYhdffHHeV6P9c801V3r11VezOxohyl6de+65Jx1xxBGJ1Wattdaaqo6ICAQCgUAgEAgEAoFAIBAIBPoRgaiqGwj0WZBxWtkaa6yRWE9YRzyTWxeLC2uHe4IMS4vfgtPIdtlll6Sc++4Gp43Je++992ZBiTvaCiusIKrX4ZVXXsnWFhWo3/6aF198MXF5c3DAl7/85TT77LMn1h37bWaccUZZIwQCgUAgEAgEAoFAIBeE8o8AABAASURBVBAIBAKBwBAi0GdB5utf/3qyx4UrVxEqWDS4jznqWN+kCX4/9dRTLr0K73znO7NbmTrGjx+fVltttbx3pVeV/a8Q9zECi9tDDjkkW2IIMj/60Y/SW97ylrT88svngwFYj5ysRgBjhZJ/VIboVCAQCAQCgUAgEAgEAoFAIDACEOi1IMOdbN99900//OEP834Twot9J/ab2Mdy3XXXJZYTGLDA2NPyhje8IR/PzJ3Ld11+85vfJHltsJdPeUIFC477VoEgwSpiA/9SSy3VKktHnOe6YRlyRLTN+u7r4W1ve1s+SEDcpZdemi1LrEcOJtAnglpVVckBBtzOuJux4sgfIRAIBAIBCEQIBAKBQCAQCAQCgcFHoFeCjBPDMPjHHntscvSy45M1naXkwQcfTG9605vc5mOQv/3tb2dBZ+edd05OKrv//vvzRv7jjz8+3XLLLTkfIWf++edP6uXCZY/NHXfckcsRmCZMmJBYSWReeOGF00c/+tG0+eabp7e+9a2icnDEMgHjv//9bz5I4NFHH0026dvo7+SxM888M7uQ3XjjjakISuKmm266xKXMXp0jjzwyOZXsnHPOSR/84AeztcdzHVQgvqqq9KlPfSq9973vzc+MP4FAIBAIBAKBQCDQKwSiUCAQCAQCfUagV4LMrLPOmtZff/3E/WrJJZdMXL60xBHMq6yySrbSXH311emkk07KAoH9M0svvXQ68cQTcxmnjhFGtt56a8XSRz7ykXyS2bnnnputI4SPDTfcMH9k07dk1FmEI892gtlOO+3UITCpZO65587fnXEQwJ577plPMJtnnnkSCxGBheCjrYI47dMHFiHuY75XI+5DH/pQdlnzHRv17rrrrvm0MvGnnXZaIsDpp7QIgUAgEAgEAoFAIBAIBAKBwOAgEE9pItArQcYxyPanrLnmmmn11VdPTghTMTctcfXwsY99LH9jRjrBoqTZT0OIEE/QWWaZZfK3XZxORlAgzJS80soeGyeRLbbYYvkbMcqWwKLi8ABltM0GfWnve9/7cr3leeUbMvIJpV7fmXEvEHaK4LTgggvm45rFCzPPPLNqIwQCgUAgEAgEAoFAIBAIBAKBwBAi0CtBZgjbG48eAgTikYFAIBAIBAKBQCAQCAQCgcBwQyAEmeH2RqI9gUAgMBoQiD4EAoFAIBAIBAKBwAAjEILMAAMc1QcCgUAgEAgEAoFAdxCIPIFAIBAI9AyBEGR6hlfkDgQCgUAgEAgEAoFAIBAIBIYHAtN4K0KQmcYHQHQ/EAgEAoFAIBAIBAKBQCAQGIkIhCAzEt/a0Lc5WhAIBAKBQCAQCAQCgUAgEAgMKQIhyAwp/PHwQCAQmHYQiJ4GAoFAIBAIBAKBQH8iEIJMf6IZdQUCgUAgEAgEAoFA/yEQNQUCgUAg0AkCIch0Ak4kBQKBQCAQCAQCgUAgEAgEAiMJgWmprSNekHnuuefSOeeck4455ph0ww03TEvvrm1f//jHP6bf/OY36fXXX2+bpz8Sbr311vTSSy9NUdWf/vSndOGFF6bHH398ivi+3jz77LPprrvu6nY1999/f4JDs8DPfvazdO2116YXX3wxJ919991pwoQJ6d///ne+784ffXvssce6kzXyBAKBQCAQCAQCgUAgEAgMEAK9EmSef/75tN9++6V11lmnZRg3blx64YUXBqjJU1b7rW99K/3jH/9If/3rX9Pee++d/vKXv0yZYRq7e/jhh9OJJ56YmfUNN9wwbbHFFonAUYfhpz/9aY73/rbeeuuE6a+nd/f397///fR///d//8s+6XLooYemnXfeOWnHpJj++TvDDDOkiy66KB111FHptddea1vpf/7zn3TZZZelH/3oR2mmmWaaIt9DDz2Udtxxx4yPMSzxlltuSVdeeWX617/+5bZbQd5DDjkk3XTTTd3KH5kCgUAgEAgEAoFAIBAIBPofgV4JMn/729/SdNNNlwgRZ599dnr/+9+fllhiiWwZOfzww9PLL7+cCqPY/02eXOOvfvWrdPHFF6dtt902HXjggQmD/o53vGNyhh78Yln4zGc+04MSwzMryxQBZaeddkrf+MY30n333ZeFzt/97ncdDf7IRz6SjjjiiGw1+eY3v5k+8IEPdKR19weLxFJLLZUIGPUye+yxRx4P//3vf+vRff79lre8JRGSHn300XTddde1rU86wc2YePvb3z5FvkUWWSR9/etfz+OzJHzpS1/K9c4444wlquWVBWeDDTbIaQsssEDSTxjXcc2J8ScQ6AkCkTcQCAQCgUAgEAgEeo1ArwQZTCqm7n3ve1/CAL7xjW/Mmnm/CTUbb7xxkqfXrepmwRtvvDG7TxGq3vCGN2SmuqqqbpaenI1b0TXXXDNoVqTJT+7fX6wQrAUf/ehH8/vAuO+zzz5ZmCHosVp5IqzmnXfetPDCC6c55pgjC6XiexKuv/76tNZaa01VxBhoWkKmytTLCOOM8ECQeeaZZ1rWwrqy4IILJv1rZjBOmoIui5J6m3nr9zC95JJL0j//+c8cXVVVWnTRRdPxxx+fhcUSnxPjTyAQCAQCgcCAIhCVBwKBQCBQEOiVIEMjvfTSSycMcamoXDGFyy23XBYwxo8fn7jznHnmmemee+5Jr7zySnb7OfLII9O3v/3t9Nvf/jbne/rpp9MPf/jDxMKCST3uuOMSlx9uQgKrAnepe++9N9nj4Fnch+x1wJyrjxZe3gceeCCdfPLJec8MC419Ik899VR2S/r1r3+drUaEFsypepTxrIMOOihJ1y7WBszp7bffno499tjcVvsz5FWmHlie1HfHHXdkd6azzjqrw9XN3h0WDy5Y9mtoi7KsP1dddVWS9t3vfjc9+OCDSd2vvvpquu2227Jb2M9//vPsRnX++ednt7kJEybk/BdccEGuXz31wArG3enTn/50PTrNPvvs6fOf/3zeX3LAAQcke4qmyPC/G/2Fl/7CGs6lvf/L0nHxHgl/7373u3OcewIEC9DNN9+c48qfP//5z0n/vSN9dQ/nE044IYn7wQ9+kLOKg8fpp5+evC+Ckvq4vT322GM5jz9zzjlndi0zJtzXg3ehHSxO9fgnnngiqde4qrseckn07u2tKu5qxmJ5b7C2N8f7Pfjgg9Pvf//7pA9PPvlkrv7jH/94dqH75S9/me/jTyAQCAQCgUAgEAgEAsMQgVHbpF4JMl2hgfEkGOy2226ZKSfE3HTTTYlAg0mef/75E8b8y1/+ct4sjqnl4oPRpCHnuoZxtM/Gb3sjZpllloSp/OpXv5of/573vCfNNddcafrpp0+LL754tixgbllp5ptvvrznwV4NTCrNufrPO++8XAcGFfOtoqqqsvZ+1llnTW9+85uzWxQ3JhvWCRGeQ0j4yle+kppMuvKY9C9+8YvplFNOyRp7z+JuxMVO2xdaaKFcTl89k7CizJ133pmfhSmWhhm+/PLL0xe+8IVEmGBx8GzCCYZeG975zncmuBCaPLse7EkRll122Xp0qqoqsdAcdthhGX/tKkx7PSPmXZ89E+577rlnFqrqecpvQsd73/veLMiqS3+uvvrqtNhiiyXt9v5LXngQAr1zbm9HH310tuJp69e+9rX8W95ZZpklC4ywJ7ASqri86StLkzzCzDPPnIRWghZM//73vydtk1dw+IBnEuDmmWeepD7xArdEeBsX3os4gtVb3/rWPLaMR8E7ZGUSz8rld/rfP3hp7/9uB/3C5c2BBYTjvjycQgDOxmhf6omygUAgEAgEAoFAIBAIDBYCAyLIYFo32mij3AdChg3au+yyS2ItwWhvuummaauttspWF4zrJz7xiWw5oOEeM2ZMUpbmHHOJUcaMfuhDH0qrrrpqKtp2e3IwzsqvvfbaiTvR/vvvn/cuqM9v2nzMuXsuRfIQbk466aTMDGsgdyOMLxcreyo8AzN36qmnps033zxxk8PUcyXC9CpTD5/85CcT5vZd73pXzssyxArFAmMjvb7svvvueT8KAUo8qwHXvHXXXTftuuuuWQgjSLgndBCoPvzhDyd1r7LKKgkO+qg+VpBHHnmk3oT8+/HHH8/ufJj8HFH786Y3vSljSthiUSA4FouUbI899li2NGy33Xa5D4Q2mGy//faSpwqEL5Ye2HkuoVRe7V9vvfU6sE0TS6obpt65+gmD3L4IZN6J8hOzJX2yt0c+zLk+r7nmmvmda4s8AsH1bW97W1Jv02JkfBGEubfJK1x66aX5RDJWKe/Svh7xgmcZTwULlheC8qc+9an02c9+Ngs9V1xxRT40gKCrvR/72MeS38oL9gjBw+/BDqx43ifBypjxfH0h2Ky11lq5/eLqgRWKUK+MQLhjDTX2WVIJ0fLUy/TXb++LpVHbCIUO5yB4tquf1Y8QygpnfrKWNvPD3hzTF4GlmOKkXZ3TcjyL9w477JCt0l3hYJ6ia5QnFC1N3JVH58wTCh/3QxXQ+RVXXDGhC2g2S39XbaE0Ml5KOPDAAzuKOPERLZJGUWG9MK86MvTwBys0BZ61rbOiaJ51y3ObgSJGWdZlB7hY99THa0D8cAuUeNpnHNXbRoGF5pb+rbHGGomlu56n1W9KFofXzDbbbFk5Ko8xad+ktVd9vBHKeiJ9sANFq3222iJws+dh0a4d3jfPjOWXX75lFmsXZZ66dtttt46TNltm7mMknoSnjXXA/s8y3rqqlgIWD4MvwdPIb5+qNjeD9yd9qANFLSUqHgZvwiOmqzahCfi/0047baqs6sM3qG+11VbLnkVTZRphETx0KHjxYOgqxXHpAp7a2oAv4+mCRy9pzSt+d9ttt808FFkA3bWu1/PJUx8r5IB6end+T9edTD3Ng8HFUCqHsfZbcDiAwY5Z4lZEi1xVVd7PoQxXtaqqshVBWQGDhnnFrNgfgQkCsrRmwCT95Cc/yS5siATGiZsZdzf1a4tnYOyrqmoW77innTaRMdxVVWXLAwbWIpIa//RLndrpqq3ck/yWJjsCgdgisoQkdVuIpLFEIFYsGdqoXFVVGYOqqvL+FfFCVU2K16/U+CdOaER33FZVlU8qQxDPPffcvGG+7GMiNJqM8020ZFVVlftrgiNIqfGPkFFVVdIfSRYs/S39IUQghtIEFhm4O+UOQ1DaSBjgSsZK5zmsI4ShqqoSC4iJQ1Bl7SFEYtrVV0Kpp9y7topjpdMe76eqqjT33HPLmoP3A+98M/GPvE41Y/3CzHsmphizPzG57f9Wz22buZ8SzAEHF9jnBKeqqpJ2EAgt+qxT5f3WH4mR0K/Pfe5zSSDUEJ6rqkoEBsSJcKT/9XL98ZtCglLAYm8umQ/GI7xb1f+9730vmdOYFfOegD1u3LgsmMqvvxYhhFZfBIw6PKSP1DAQ7Sb4s04bG2hQZ8/4xS9+kU/ks5A5FARDZUzUy5T6zNuu6quX6+/fxhCaT1mmvZhi60xnbbLuoIHGSwkEMm0zRo1JSg518CSwcFNoSO9pQFd9/qlWAAAQAElEQVTRMkI4OttZeQIPgUn74S0QIjfZZJPseYD2snybP1ywLf7chc2lzuod7DR9xiii62hNeT4GhnXeeldwN1/b0Vfz+w9/+ENWKpn3hEvKKsKPOh005B7d9q4oqQiC1lfpgx0wu1VVZbqqf/pGAduuHWgX5WYri/6Pf/zjROHIG8X7xexZHwlL7errbbyxbczZT6vdlKr4tM4YVOP0jDPOSJSTeB7jEp3wjglnhCHjtwSKht4wqL3tU7tyxgllNkyNnS233DJREONh2pWRt9ABtKOez9pFSer9qI8iRZ2d1VcvPxx/Uw4SPvBraA3F0DLLLJO3P/BY4SFkHSGUGCsUoa36gd6hy5RB6B8Dh/q485f8xst3vvOdjjlj/KFpJb271wERZNo9nJsO96Ill1wyccfCXLbLW+IJHTQtNGaYN5OZJrCk168YGsyPRRYBJcx0phGpl63/JvgIFvQSjymknSz3nV1NbATYIJcPQXalTcI40yQRXEq8NMx+VVV+9ipY1KqqyvtHOqvAIk1rbaGBj7wwxtRjGt0L+ksL7nc9EFy0n3VCPAELcSh1iasH7w0DxRqCgNTTWJw8w2D3blnZpBNyuMAZI6wLGNnm4qS/8tYDLb92I7IlXt8wAJ0R5ZLXO0CwTDTtEU/bW96j+2aA2wwzzNCMHvB7e4gQEAx+eVhVVdldkfXOXCjx5WpOOLQAJog3hcJee+2Vyrj2LlllLLCIcinXX1fKC1itv/762apFkOVCCPPmM4wxCwiNj8XSgkiZgSmkaJDfnigL/Qc/+MF85Lf+UHaYf9IjTEZgvolKCotsXZCfnDrlL2PHuECnLco06AT6ei71sVxy763HD/ZvihPWfVptDK61gjBf5m+zPeYAgaeqqvzpAIumcVNwwZCgFauvvnouavGlfbSY54ge/oElBrzQts6KG7doHs2vPumLdqHX0tAafWT59k7QcPsJy3zorO7BSrMWYG7Q9uYzCZnmOqaIlwLcCYz61czrXr+sHwQjTBMlE2WLNIEAQMtLE55SSrThFDCd0WvlBiJ4LqUcpZt26hshFL1r9zzv1Thr8kGYZQomwoSxZ61FK9E+a2m7+noTb902tuFL8OIpYfxRhOGj2tVJwUjQolzi/u49yGveeQ/qMYYFaz+hVl/lGcpg3WQlxFPgPVg30RCK1nbtwojL10rgplCo14demqvoSrv6hnO8OYpPQwPt9/b+yvxCa7x3cayNAtoGSzxWs19oKVoFW2u4MUzJaPtHyWuc8WJiveWhYd6stNJKJbnb1z4LMiQqBMcArjPmzXstwowYFAiZTmI4acBIr+pBDOTzWzChMStcF4Bmchgk4uQj8clXQGTitEhtttlmiYsTQkBj5znyKdMuWLBMai8L4URkEFETEBNtAiBMzfIYZ32tx3Of0xfuadpGQMAkeqmYRlp0AwJuBB6ExCQnPGmDtlpw1enZ6hfnXn0Gmd/1oE5CUpP4EJjqWhxCggFjQSjvi8WINsvCaH+P/CYoc6lnYDZp0rUD5giAtkpDZAkVtJbei/0z2mBAwl28ujE8zNDq0Gf4KLfNNtsk2icMtParE9NEw0N6L5MKLtIslDSXCHxVTSn4cceTrv3yCuJMFFpb/eUGRxB2WIR79WonvJm+jTkEHbPtfXmHFlr4wt54Ul7dAsEOfn4PVsDk03BgFsyH7j7X2KYt0yfEiNZM++vlvU9Y0NLV4/v6G3NBm4OQYe7U51naT2HgHYgrwfjijipdHIYA41xVVbZWijNOvFeE1EKjX8aVtAi9R4BVDt5qgCcaB1/3wy2gp8aRdhm35j9a2mQOpQtog8WTRtE8t2ZQVqAF0tHFqqrykfXWKFp2tNt6In0gA7qKTpZnmDPWCFp9NAi9JECWdGuDtHpcSRuKK/ytk7DHmDTbgBHnvrvvvvsmc9m63motK+UoXVhwvCN8Q4kvV0KD94ime38YylVWWaVDMVPyDcaVUIVBo60mgHIlNBZ782wacWOveDmowzumqLOGwllcfwRrrrltbKkP3aUI89u4d20GfcUbUKLhsSjGSh71eC/l3pUykiDPtd/9UAU8FCUlhTJvG+3QXrwEfqC5FkrvLKjPmMPol/FZ6iMY4oc6Kz880ia3Ai/ECmOeMjoUjEoOfCr3ZB4cJY73DP4dj1viylUavg7tEmddEVfGlbUFb+l5rFqEHQd49WZ891mQsZAwMbK0GCAaTJtL+4rhwgATBsQTBDC4pFYT00vHfChPCzx27NiEgbLAYBYNfsAxRasPE6TsyiuvnOTFwKibmxPNLLOUTe2YcUwOJtaiRhJUDy2jSagtzYBp9UzCC+2C562wwgpJwIhrC01LsxwffuBzYUPIpNNk0lZgxi1MzN1wmG+iVtSiy9rgJRKeLJDayBfRIGJRYqKl3SGQ0W7Z2wI3WFuE9cNE8awS1EUTgvCXOAsjTAgE2mmAVFWV9xMZqNLlRTC9PwImzSZBTL+9B+kGKssWhsYVPuIFfSJgem/6SuPGhEz7i0gSDrhtqN9eJUIIYacwSqRvixqMq6pSZeJvi+hx56OZ8q5pJiUaU4Shen7xAtxNFGPCvUAgofXTBpp7k4k2k6kbpphrwi9XE0wM3BFz75SmhnYKM01ogD0Boj7BWQ3qeHjmQAeCojEOu548y/ux6FtYvGtufzRHxmKpx2KJMJtPJa4/roggQRCTU+qrqirB2vhqMjTGh3ld8roa2+a+9rkfM2ZM3ndn7FlM0RfuJtIi9B0BCgd0y1xEW/pe48DVgGmgGSaUoBfGVaunoaGYTAIN6zTGmkuNsSk/OoNeY2yMLz7xrCQ+NSB9MIM2mhtoWv25lC3cMfSX8olyqp4+VL+NF7QXc4v2N9uBDhMMrWneF6uMNbKZr9zjC7gFWxPRJTSfoFTSMeDouXopZmjMrXfodckzWFe8hrFHsYIPMraMnd48v9C9wk+UOvSLYIvhLHF9vZon5kS9HjwSnsS8r8eX32isdhAevRPtNRZLevMqP0+awtA20wfr3hwnIFrX68+01phT5lo9vqvfpT58bD1vb+ur1zEUv/EVBD18BT7YWk1owa9pD0Uo/MS7F6y7BJOSR1wJ+Erzttzj/WCG5xXnPaABlONoMgEereX+Lr0noc+CDK0DbSrmkgbJwwkemD6ML8apaKwxpSYhRh3zilBjpDCSmGzMDIGCEOIeg2UBJUCYDECwsAJu/Pjx+ZQwz9AGjCbiWYBhiTC5MD38UNUHIMyuNjaDF4a4EkiAb3HAfKuHFl7bEZJmOQIPyRwRx8BLr6oqEQgw9RhvxNfg0O6qqvIeEBYZaYQ+AovBj2mGpfoIKzRWfovTbwNBP+BUBoPnCVVVJf2FLU2dOG2XV4ALfMQLLAwGj9+CBQOT7hnMiyRkRE4abAkw2ggHwph4oaqqpG+YTO+fLzMhCTOhv4QzFi44EWoKTlU1SWhxrz6CmPoEgoZFiu+zhZGGqKom5SdscgGjRZG3Hqqqypo+k9E4kyYvC5RJCGuCMJcs4wDjC1sYs/zIj1EmVCPSmPmiXfJuYU8oNpH95lcsHpbKDlZAcGFdLBvdfW5VVflbS/pEYGPy5aoA53odBDVjvh7X19/wbFdHZ2mljHGALnAdq6pJY8F4RgwJ3QRP70K/EMRSLq69R8DeDNZMTLNTKM2T3tc2sCUxsiy7mD/zHS1v9cSqqpLFF/NB04/ZNN8xoPJXVZVYOVgN5GHBtKG+0BN5BiuYl9YvCpb6M9F5yi3j3JpBSVdPH4rf1moKBQzwLLPM0rIJGFnzlXuc9QIdsvaX9apeyJpO4YK2YqowUNZo7xajLa81i7KNEEEgmjBhQqJY6g49Ub4/A1pkfeTJwZJEaccttjd0FF0352iqrZt4KfwPZpGwZv3pz7bX67L+W+spYqtqEp2tp1svadG1g8uYvNpIOWs9xI/V8xujAr6uHj9Uv/tzbHRVV1fpQ4VBu+eaY4QZ9A+9xy9TduPb8N76I7Qq3y6+5DUu0Flz2Lwv8XhMdNZ8oeAwp63hJb271+m6mzHyDX8EWByY1mnaSbldtRiT31WegUi3SCHMzPC0bSxABnNXz7KwYSxo4Notlqw46mdh6WpydfW8dumECJucTUwahHb5BirewkCD1Nf6CaWEFot/vS4LsoW5HtfX3529XwszJqfdMwjkXB2NF9a6Vvlofyyo3jmhtVWeERw3JE13VDnLLyGBWzClw5A0pBsPZUEhzGJ0KZAoLboqRtFCUeZgE0KD/BZslgDjjAKq+ICz3EgfzEAwsPA3n+kABgIbRRvXbAw8xUoz32DeUyxqL/psngoUdZRxhBbzst4eaw9LGDrWyqXHnCf0cE1BozD3lE0EJgy++jD43FKNTUo4OHhuq/rqzx7o3+gZaz+a1ts5Q5E4bty4fFKZsUm5CDOeIQPVfusaxYX9k+2sMd4ppTXvGAKk98I93LpLgGsqECgVKSYHqs09qdf7wDi3KoMWUGC3SmsX11l9VVWlntbX7jmDFW9uGQMEF1Y21mlGBPMJ/aMAElq1hxWyVXyJMw/wGQQW86PE168EHLwdy2Y9vju/Q5DpDkojKA//XG4QiB8peDg2nXaT1I3YM00jgl21k2bLEZG0QMq0y8+6w4xtgSRotMvXl3iLp4WWG2NXE7gvz2lXloa2HTFoV6ZVPOaf9oXLWav0/ozjQ8yFgRBW6jU+WWUxKq2snfIRSlmNMDQEdXHtAlxYfz2nXZ6I7z4CFnd4YiAJot5V90sPfk7vn8XVfsruKHK0UL+MfxZa9+imRZt1zzjCbHP7pRiRPlgBvaOBxyy2eiaPAVZ5+xQwGhj7VvkGK46mHvOjzSWI0w9a/lbtIyyyuGCGm+3ERGEUCZYlDWOIVmC41McqhblHW7gys1Sx3NIsTyozdH+NRW5v+tjbVvBa4T7PgsVyaEy2Emx7W3+9HDyta+Z8Z4KHd0WJ2FQW8UAhTBNySr3ek70TLOYlbiiv1kzjh/Bfb4cx6n0Zv/X4rn5bP429+pqmjPq8957Wp+xQBu+WRaRO5+FlbSbg6I95WZ9f5rZ53pl7PV7MwQH4PPW166P5zjPHWGqXp118CDLtkBmh8YgMVzWWGURpOHbDIkyDatHBJNG8ddVOpmz+4AZ5Z9aCqqqSycLlAkPTVb29SUfoaSoQv96U72sZz0WUmwS5p/UiWHydm4KhU588o6f1dZaflYeLCCantNvGVYKgvQhVNbUbA0GHRg/xLIxmZ8/gYoMQGiud5Yu0niGAIbFoE2p6VnLwc1tUaV2b+0ratYRbE5e5wiBywyUEGXvKoFVcZwnU7gcrEJxoL+He7pkYRwyofYqd0cR25fszHh1nGakH2DlQhFWr1VrEjYWLMBrQbIt3iJHnTlq0/OUdoFfqQ7tYCEpZ8WhFnZkuaYN9RdswuehRX55NYWat4WLIdYsw15f62pXVXvsYCccY13b5jDMWGxZPbt4lH9oLLcwfJwAAEABJREFUf65IJQ6D7z0SVkvcUF613cmXVVUl1jxtIZDZb2ptwkiL625QnzlqDrI6Kmdtw9fYMtHT+pQfymAuEkguu+yyjmYYf/gzQog0e2tZvksGwq/5rWyJq18JQE6lNYbbWflKfrRXfZTVJa671xBkuovUCMqHyJtkw7XJVVXl7yKYIN1tpz4hilU1NcPbqp/qVaZVWl/j1C30tZ7else4YNYtJs067J/B/Fv8udjUtSeICTca/uTchhzSUPYClHowrcrS9Ja4/rpyUaLV4TvODcUenaJB9wyLjMWQ6wgGxeLiWzn2uHGDc4qZzbzKys8UbVHlDmGPAzcWrkVV1b0xoo5pJWDOYWQ8WCy4qpS+2xeImcSEYhbh7JAMygY+8FxGuKvS1pUyNHHcm9SH2cSUlrTBuhJAtJ3Shqsq7S+XT4qcwjxxDyOA2cCvXcaSfQz2KLK+OFXRQlz6Zvyx/Nk/Ay+uUnDAqCvf0wBPTA53CWO6vt+GuwW3WvsJ5St1W9Dtz7NHqcS5mtcsk96Fd+i9oAUsRlU1tGMePUSf66GqqvxNskKH7Z2FKzxYveCPJlTVpLazOAhlbNoPxyLDbQ3jiW4QOL2jNPEf3Lwf1n11eqfoS1cM08Si/f6fqxW3GKdYmRfGJfpVVZP6RijD7JlP5eEEB3QYs2d/F8GspOmP+eiQGkKMsWiOlvT+uvKOgCsBxvxxSIH5L7BweY41guLMmHRvXNo3y5WXtVw7MfAUjVU1qb/yeY/KsWy6Hw4BI27NQQ+MQYcgGZcsetpnrBHG7BFyL1D4wZ9rFIGPoCJeMH+b9VG6oUHSR1LwntA5Y9hc8m652RrHBHLWTwpidAjdtC2A0pOyoqqq5CAPe4y5pqFnxrf1mZCL1zCmBFgbG+Y0JRF3UPve0GYeItb1nuI2XU8LRP5AoJ8RiOp6iEAhKBaWuvaRZghhsfgTWhyyUBd2xDmtDQFBSBAXbjX1x2NQ1Wnhrcf3x29WGdoZWmZtIHTU9xhZTBE2mj6LukWW4MX9pwRuk8VP3MELLEcENpp4/ZGvP9o62urwvjEq3C7hb3EpfbSQO07V4gQ/C7PFGNOF2aR1xGCW/K7qI8DYbK1MvT7pgxFoPLWL6w1BwQKMUcFQFl9uAr/Fk/CuTayp+mdeYCIxxlxfCrONWbRxmZWQ5tG+PIu75yjf00ApQNAmGDrABGYEGvV4D5hxQibhRZyACcDgsyy7L4GAxXWYphsThvEg2GtzyTOcrvZ5sEqUNtFSowH2shB4HLbivqRjjs1nwrE445L7LuWKY5a9O+8ScywdpsYtxtIBLp7lkBxeCdIHM2CIuZIZgwQTzFlpp3ZQDNnwTgB1Lxiz5g7hzlgk2IoX9Ic2XBqhiNuP+P4OxiLXRGNTW0rQdqfPeR4vCAol88G9cUt4MUeMQ3PHoQ31tcRaxCJnD1r9HSs/1EFf0C3jkNdGXWjBRFuXKEZKOylp0EJCJdd161NJcyUUSVOfMWu/lviRGChFuPwTQoxl9IbgWvrCMmNvHvqJVyDsWiukG6NoK2s2K5d06zU6VsaVq3FDMKJsghurOKGJwolSCW1QX09CCDI9QSvyBgLDBAETHpOPAJQmVVWVMGY0ZYJNwRbQkk7bgdnHUFi4iha6pFt8uH4h7szIJb4/r4garZ9TUTCHdTcGXxNGKBE0mmZ9aAbaH+4j2kTwkU4TqJ+IpPhpI/Ssl/ZawKoE46fUQHiEu0VMHMbFOMHQY0aNB8yKtBJYBkpdrk4WLGmDeTVWMLPagDHW9vqYspAaG5he7SLYOMFRfoK9vhGIpJVAA05AkAeTQvhncSjpPbnyldcudQmEIvWrA6PHjUL7iuBV4jGwftcDBl28euzdIcAN5zFvXno/pQ8ETG3HKKJdTQYX04TxpRFXxphj6Sjv1zukxJEmeM9OSUNL1Ev4g6m0wQ7mjjZgktElgkC9Db6RQVvNKlPiKQiUKaEwhNLFGXtoJMFB3EAEYxFN9bx6sHaUNQDuhEgCf2mDNqHXyhAKCKAlzbWqqkSpYD66H07BuCM0o2/6QCFQ2oeusfASOkucfuhnCfAoaa7qM7bVRzEBU/EjNVgrWGEcNmF+1WmTPpV085JSsdBG85bQQ+Fi/TZeKCIKbuXK0qoecxX+xhqaLL85La2nIQSZniIW+QOBYYAA4slnmkmW8NEfTaJBURcmrrkQ90f9XdVBk0XQsWh2lTfS+w8BJ8LR8mO4+6/W4VETVxBzZDj2jdWRRpswMxTzbXi8ocmt8E0vrjrd3d80uWQPfg1RVlpuDC4meYia0OvHctllFSMo9rqSEVKQdZ8FBpM+Qpo8bJrJ9c6BTIQSgu5gNiwEmcFEO54VCPQjArQXtBsYIi4Cfamaewumj+vRQG0o7ap9tM0YGZrYrvJGev8hQOtrf1LTMtF/Txi6mmgH+WQP9sLanR5zCaORLBbG7pQZzXmK9a+qJu+zGC39ZYWmcR6JtM1+DxbXonkfLe+kVT9YplnKRiMtbNXf7sZ1Jx/XTntiuN91J39/5glBpj/RjLoCgUFGgLsJ15e+Ch+0hczIoRke5BcYjwsEAoFAIBAIBAKBXiMQgkyvoYuCA4dA1BwIBAKBQCAQCAQCgUAgEAh0jkAIMp3jE6mBQCAQCIwMBKKVgUAgEAgEAoHANIbAiBVkbCx6+OGHu3xdjoJzvNuDDz6YfHdAAVfHy9ng6n6ggg1yjqErx0n213Mc1encdud291edUU8gEAgEAoFAIDCtIRD9DQQCgZGNQJ8EGZuMne/uew7O3fZtAcG55AMNixOO6t+gaPc838Rwxrnj9Ag08tkY7fjKU0891e2ABSdA2czpxJL+egjBjGDkmEdn6vdXvVFPIBAIBAKBQCAQCAQCgUAg0AUCwyq514KMU46+9KUvJR8B8iEom4TPOOOM9IUvfCE9++yzA95JH9I59NBDu3yOj+vYEO0jY76ToYCN0c64d269+84CwYE1pzfWGx/9eemll5KP9XX2jJ6kVVWV3vWudyWnn5T+9KR85A0EAoFAIBAIBAKBQCAQCARGAwK9FmRYYnyl1rcsHFe34YYbpn333TcREgYDGB8682Gerp7lyEBfHHUteR2t5+OAvixa4tpdWZd8FZpA0i5Pu3gC1AwzzNAuuVfxVVUlQqMjOwkzvapkJBaKNgcCgUAgEAgEAoFAIBAIBAI1BHotyLAGcNV64IEHssWhqqrkuxY+PIZ559L11FNPJfs47BXhZuXDZM8880zt8Sk9//zzyfcr7rnnnvSHP/wh/ec//+lIf/nll9MjjzySfvazn+V61CnRHhHuVdLcCywuDz30UM6rPm3TRmn1IE699q5oX0nTjvvvvz8RzrT1hRdeSC+++GI6/fTT01lnnZX0076Ukr9+ffXVV5P6fv7zn+d8ytXT/X5+Yj/vu+++xLqjreIE+3Uef/zxpP/aTXASL0jTT7gpW0+rqsln7YuXDifthI/y9WBPUD1dGc/UZ652yujfo48+muDzq1/9Knkuy1u9nvg9vBAwRozV+rzpTQtZDc3NvtbTm2dHmYFDIGoOBAKBQCAQCARGMwLT9bZz66yzTmLV2HLLLdOJJ56YMMDcsD7ykY+keeaZJ2HAjznmmPTJT34yXXHFFenggw9Oa621VrKvA1PtuTbsn3DCCcmXY48++ui03XbbZVc1aX/+85/TkUcemS688MIsTOy88875ShBRN+uPOHkx3qeccko65JBD0g9+8IO09957pyOOOCIRMKTXA0YN0+/jW8pIw9R/5zvfSfbMKO/jVb7wirHjOsdVzhdLCQny14NnX3DBBYlbnX7stdde6dhjj03qLPnUw6oDJx+XOvfcc7PwJ/36669PZ555Zm73Hnvskfbff/+k79K05eSTT07y+9Ks9JImvQSCF+z222+/jLU2lbRyvfnmm9PYsWPz+yCwwBBe9g4RcLwLePt67yWXXJLGjRuXfFfEM+17KvXEdfggYC54r8YlId89xcFpp52Wjj/++HTrrbcm8fUWE3yuu+66xJIqGJMOzSBcE8RvueWWjkMx6uX66/fTTz+dzBfz/cYbb5yqfc3nsISy/mqrMH78+KQO+dAbc/mkk07K/bEXzr49aRGmRICSCH0zLn7yk58kiospc0x5J/2GG25Ixx13XH5fFDFT5khZ6eOdlOBdNPMMxj1aa53QDnScggadb/dsNPT73/9+sj6hda36pqz5RLlkvhD0xU3rwbigMDTnmliYj4899lhW/B111FHpjjvu6FjnmnnRqR/+8Id5fFECNtPLPYUkRaJ3K1hjKW6keyfeNRom7c4772z7PPl7EFpmRTu11djR12YmSlBtMcfuuuuuLudYqU//mnW57ypdnv4OFJd4EnuQL7roorbV4/fwJugDOtHktfB40uFx2223ta1nKBKM4ZtuuimvkXgr/F1n7bCtAO1ELy677LIpeLt6OTTnpz/9abIm1+OH22/9R9fw5U1ekVIbr2v+2vdu3UAHm33QV3TAfIRLWZOb+dyr0/wswTotvh5KfdK6qq9ervyervzo6dVXPAkhm266afre976Xtthii7wwYDzUNcccc6S3v/3tycSYeeaZ0wEHHJAZ/GuvvTYRIBAhzPJcc82VmXfMv7IHHnhgtoQgFiYLYUXHuIFh+NVtj4i86nBvIbMgEZq8AG1B4Lww6fXAHeud73xnYiUCnjRM/d13350ICwQge2e0faGFFkqbb755mnfeebNwtMYaa8g+RbB4e7Z8BIHPfOYzCSGoW3s8c7nllsvC1aqrrprTtd+C6qAEwqDnEvYQtYsvvjhbbmzo1yfx9iN5yQhpvQEYUBONJQyuX/nKVzLu9Tx+E3Q+9alP+ZnDBz/4wSxU5puJf2A666yzZiEKPp7pnVx++eVZyEJUJ2aL/8MIgauuuipbKpdYYok044wzJgKqOYJwINT2kVlk6k021o0xBFwwVgk73C9XWWWVbFEkdJe5US/b19+eY1zde++9yXgz5lk8O6uXkGUx1FaBoFXcRFkNCf5cRRdZZJHMWBf60Vmd01oa5hLOaB4L7O67754IM53hgBkjFKCDEyZMyPSvmZ8ixDspwXto5hnoe2P98MMPT5hYY2CGGWbICi10udWzrUcWXwwyumn8UBiVtaReRh7jyVpk7NbTpsXfMLBOwsQYamJgzTMm4Prud7872cNq/ajnUwcaZZ00rtCdt7zlLfUsU/zGGGIiyxjDgFXVJG8EacaodUvwbGvnQK1VvCmsibvttltqCjKUQJSrlILmGqWhfk7RmcYNBRTeRn2NpHwrncKnXXrO1I9/YOsAJfwcDCmkW1VPcfq5z30uzznCKKWwd13ySv/ud7+beSzrkHT8WEkf6is+Ca7GDLqxzz77tG0SRh5PRRhDM41777lVAcIbng0/2Cp9OMTxFvJOKL3NHfSztIswSmlIyYCvJMx+4xvfyPx4yVOu5iSjBHrgS5QP3KcAABAASURBVP7obkoldcorxWWZv66thB7jRX3mUVf1TVn7pLvpJl1693eBBRbIQghiteCCCyYvETOEkNnHgUi50uwTRFgjWGUwJyYNRszEmW222ZKN8UCx6JrAtGD23qiDy5oJbyBV1aQ9IuJKqwlDpEj7dBAPxIZmtpUkSajQJocAlPImrPs999wzeT7BYoUVVijJnV5//OMfpznnnDO9//3vT1VVZcHnmmuuSRbVUtCL0T9MASsWJhEhlA8xx4jCYLXVVsuDBoOGIC+66KJJ2pve9KZEiLIIL7vssqXafLWI+0F40w+/2wUCZT2tPvjsbYK1yU3Y8r4IdB/72McSwlQf8PU64vfQIIBpIJgKhRG4/fbbE4GW0HvOOedkawcLRmmh+YBIbbTRRgkTIBCOP/CBD+QshCHvG6FrRWxypj78QdAIMTvuuGNWfGA8EFPEq1W1mEtjj4JAWwWa4Nlnnz1n10cHjRDY1ltvvWTBoSWyoOQM8ScjwNrqEBZKIYoTChqLeU5s8cf7QEONJQwnuo5WYXBKdrR7/fXX7xhH3g0aWNIH68q92BjRVmNg7ESrMyWbNalVG6wL1iPrDqHaGmMOUCw182PS0GqhmTYt3luHll9++WRtwOg2MTAfrRPbb799Xge33nrrhBkqFn1lCIXjJlr7MUiUjvJQnDXrck+QpKQkGBhfAoVoWce8P/TK2ud00LXWWisrSSlrlO/vgE4219/yjIMOOih7jGDIKGsJbCzjvDFKnuaVMnGZZZZpRnfcd5XekbEffuAtzB0CKMURppLytVXV3od1RV/xKcaDd4l3kh9/591YhyhEqqrK40DaUAcKDm0ikKBthBjCjHWoVdvQPXRTXzHh6IW+W2fq+SnNKQ2tWXi7etpw+o3Pw9+h1dpcbxvFujFH8HQYFu8i/G3TYnXYYYdlvt+64Dcc7Qev11V+K8tSae6WgPaWdFdCsPFCuOqqPvlbhV4LMhYEhIkWbr755kuIGM0WKwphojysqqp8wlaa+K+qqmzdmPgzm10tEF4+4ieoD6NFMDEYSIXyCogoRgyBcF8P4hCPjTfeOGsBTEIWoXqezn57CcygDg9gWdltt92Syeh5nZWTpg8Gr7a7py2uqmoK95yqmqRBkl5Vk3+TjhHH559/Pum/xVQ9Xqwrsx8clCsCmDj3gvI0HTTsFovSXkzGkksumV38CDeYGM9QpqtQVVXH+/JM5dMw/TetNsvYwNxjJAnHBQfWO0KzMWheOhACwSrp5hPhARGniX788cfzu66qyWPSQoYRYKkp5frjap4gUphoFs6qqrLwj5haSMrYrT8LLaH9Yk20uCKK+lbyzDTTTInQr73micWYME4pUPLENaWVV145Ef5gZyHDCC6++OItofEeLF7Gz4orrpiVM8YEpQrhx9hD+40/C92uu+6a99KhFVU1eRy1rHwAIimgMLzoII0iq5MxVVck1R8rXl9gQRlmrFDCWV9KPmMVA8PCiTku8XFNybiAXRML44Kgaz0z1qpq0vwmRFtL5Scgcy8hyBiTMDdupLUK8pv/FIvWOGtYeTY+gcLC+lRVVaZjK620Ul63y/NSP//zbP2vqinHObqE2X3Xu96V9IlgRlDDF+BN2jWjXX0lf0kv9wN1xUdssMEGSfsxk9YUz271vJIX7voqL/dz79/cU4ZCeYaJllF1SKcg60xgU2YwAtqGN/JeCMBVNekEWDSBwC2+3g70ZKmllkrGtL6incYi3hKvVvKiFxQnxnI7QbfkHeprVVVt5zAFEEU7uujdUZBaJ7w/7bbG4vO5E44fPz4xWsClqqacD/IK8rN+kwdsYeCqiH9Vt3S4kRnUZ2vGmDFjEnpeVa3rU6ZdmK5dQlfxtKusKvV8m2yySWaeEa8Sr7GY9HJP02uiY2YwIhbNeroFBAAWW8TLIqUsgiAvZsx9PXCXQBwxaQiK+uvpXf0miarfosy05rcX5dpVWYu8RZQVyUQxoUn9rFJdlWXRwhTwqYST/PBBwEu9XGnEC4g307XfAowweAYac7+FVzyiYWLCTyDIwFpaPbTqn8lcn6SYQxO3Vfl6XfF78BDwnikA1lxzzZYP9c74txofXABKJnPHHFWO+9jaa6+d+PwasyWPMuYPbXSJ64+r+WD8mvelPoQfseQuadEo8eWqXTvttFMilLMQ0N6aGyWd0kGfKB7skbj00ksT5rr+jJI3rikrSy6++OJ8KAsrVitM0GKMYBNDTA43C5ZAdIO11qLOwkYDb8FqVd9Ax6GhhA1jgLUJ/WY1IOR39mzjbcKECZnxJSjX6RvPANZNFr7O6oi0yQjQxhsbxkmJxeRgWggc1nSCMEWDeW0+0+xTwJX8zStaZP6zutIQU1CyvsmnPkwRJYZ7AQNmLWQFsRaLG4xAecRjov4sdGm+iQreWWaZpR49LH+bu/b0EATNHxYL+ytbNdY7ka+eZi7NP//8ybpRj7cO4T9o+ceOHVtPGpLf3ok1CG9VbwD+Bm2zRtXjCWNLL730FCfxon3GOKa/5KX0o1AbDn0sberrFQ+Lx2DtpJhQn3lF8EBzq6rK+1LdFx5dnnrAS7LWmbc8fQjJtm/gt+Ur9VFums+UHPiWdvUp0y70WpBBRLhi2TBk8x1p3O/nn38+YZTKA0nwNvXqlCvtq0XQYGLCYrKzOV8HmJcw9CYFlxlMCyacSQ+jrrMIgwHpeYDQDuZnz7UAESq8AMyR30AjLJhsRcDym9YO8dVOA5jPJHOhQapt6kcM3SPQJjpBSv56wAxqs0WPi4L+EEy8OAKB9sHHVTl1eVEYBhpP2kDMF8JOYuU6w1UNhjQFtOf2ItF2Md9i6tSlrdqNiMKPIGVB1m8DD7EhMQtFo+DIas/mokdghC8cTG7t0T7aJUTMYsO9zwSl6bdISI8w9Ah478aAedJsDSsG061xw+JiXJQ8xgVhnQYEATK+jLs6M0EjwpKDkSvl+uNq3LWrx3w0h5rpxi3Tv/FPY4Np0XbzSV79Z1nCKHFjgAlXTGkRpkaAxZoLlvlNAJk6R8oHpKB9rdLQX2noEwEZPeI+gyZx+cEMtCo3kHEEEMorgguLn/ZYPDEhnT0XrdQHgry9D9Yn+fWBKwT3R0yxuAhdI4BpbZfLem0ttXfAeopxtMZioI0b9KxVWa5N3Fco68aPH58tf1zTjEHMFCZTHQRv6xeaZf2iHKmqnmt1W7Vhclz3f+lv2UNAi9/9kkOTkwIIZgQvawTFMEUHBr2rFuEfCD+UyKybJT+GH9/AokbhjRcraUN11VbvptXzjU/jqlVaicMTcbumwDGOxeOP8GLW1dHCIxFkKQ0pGtDCggs+gSsvRTnLJKUEfhWvAYtmgMfHP/7xhC7LZy7jjdFcefGq1m714TsIyeY6C5/0noReCzIkUgwGwu+kMhPAPhYCCTNlvREYdMQLw22hYdaTrsGkMNphggCmnFlSGs0xooU4EZikOVgAqFyvmPJoZz760Y8m5j9CAcmPryOzNVAAhYGyYGF+PBfjRip0ogoBSRnPYwlRh0XawmZxtBjSJpAYvVy/5a0HrjvAV/+2226bN18Xn0EuDCYxTGgMtR/hnjBRE0jSraoq6SMBgxDHHE3LjEgz3dr3g1mjjSIEYuoMDnXQmJtA+s/3kIBE8LC3B9NXb2P5TWtE8DLwlIGb+r07mrOSzwAWR4ImmNFwlrS4Dj0CiAnhHTFptsb7NB4tpBj/cePGpSajgEHD8HOnpACgfanXwx2gMHb1+KH6jWDa12Asaivipy2EH7/10bzh7kSwIRhJjzAlAmgGrThN+Q477JC8+ylz9OwOzeB6gHZhXNDxntXQP7nNB20hoGFUMGHGRWe1mx+EeUIY+mqtwOhYb7hXWAc6Kx9pPUPAmoqmWH+ceGq/LAbHmPHeMJLtasQg2/+EKaYItVZjfDBHmEsu4ZSiBBpjuzCZ7eob6Hj8jjE4ZsyYgX5Un+unDLY+4OEoj/FueCjzGT3Fb3X2EHwERhS/Vs/nPcAB36R+PBFhs55npP1GU/QL76btlPQYc/tmRoLAqs3dCZQ41gprqjXXHFUOj4mnkG49NsatIwRhAp48U4X/RbDWEQAp6HlzieZZYmyYu+pj2VcfgwFc5elu6LUgY9Bj4pl+MdSsDyR4lgCLSmkAywTzIoGCxUQ6lxLpGDGNJ+kBSIdKWVd+dbTKOkuTiAETCDKIIg0hSR/TbVGyiBGUCENcsIBC64yxkVc6gYLlBAFUB2EMQ6+NFnbtBDThQhsRRftvtJ31RFw9VFWVEAEE1nNojMsiSMjDbHmOhZP7i8XSsy2YtCAEFn6Hns3qQwtdVVWHb7oBhQDoHybVQQWEP3Wom8RMG4C466MrgarexvIbpvwVTUDMxyqrrJJPHjERaTbl03ZaLowyYY9WrLwv6RGGHgGLeLt3Ip7QT/vO6mZcGYetWm0vmgMm1FdPr6qqftsvv2lgLQLmSKkQ82LBZAEyr0t8q2tVVQnDYj6X9hK40R7j17yjDEGDzIlWdUzrcQRCjCTrc1VV+RtdTUzQJDS7/p7kwdCgPd6V+3rg+oOZKTSknjbQvwkxXMooyQgg6L/2Y8Y6e7a+UNA4OY8Fh1IM7SfcY8r0U6A8srDKQ1PdWZ3TchpXROu5+VxwsD4Jxod0tMmcd62qSfsTKFTQJ/GlXKtrVVXJ/gNroHVMHgo/ex4oEb03vABlnXclfbCD9dcaTtnoMwb6Odht6Onz0ATzFj8B16qq8j4fXjNw5c3Srk7Wf/wGy0urvuLLCKx4LExw8YhpV99Ax+snJR0erP4stE0a5Xw9vv4bFng89JNgLY0nC6UxBThaIfCcQYOsU2iTfCMtGL94XV5QLN08d/SBccB4MVerqsr70sxJ2KGfqYt/1njCPaOGrOoSmvXJ15361FHCdOXHQFyZeTHxrgNRf9TZvwhwDzDJLej9W/Og1TZNPMgCzsWS8qCzDhPG5WunLULACRe00vV6vH8MbT2ur79pZAhXXN1Ku2kDtcHzLaJdPcOiarHRf3m5srKa+i1gZvXZ4uo+QmsEYGhMGBvNHBYliw2324IjRQpLGAWR9GYZ6YRLWrVm2kDfaye6VVWThG+MMbcI2vnuPBtTYmxicASnQLKSl8AFjaIKcwK37tQ5LeahqMDQYUCKEEwBiY5gijAslHS02iUd42/cUOZV1aT31xl2FHC8HAojVPJiMrk2oQ+0xRQ5JW0wr6x6mHUKwqrquj+D2bZ2z0I/KSvR5TqfRunrnbaiEepCuwmOFBjmjbh2gWDpOWhOuzyDEa8NPFjQNYKVZ1qLeM1QXlBuiGsGSl3KbP0wlks6Tx1KoUIrXAnSrA4s35TgJe9IvBJc9EHQfopPCgkCnXsBf28OW3fddxYoNWz1IPjKR/Az9ynM3Qvqw5PA2n13w4AJMl4wjakBz2oT2qzuvpKhycdCYyLSstiXRNswNC2Jp3aFAAKAQcAU1PNyGeRuYUGQZBVdAAAQAElEQVQijNCEccmgEZWP6yJrpnSLPm005lN90gWaOQyIBcp9fwZHlHq2PVoImnvMDyut52AiWV493z13BBoviyomgcvcNttsk8qCQ1vEpM1aiimiOSKIl/6qY1oPmEbuHegxhh/Txy2XxphPPHyuvvrqxMJeFiiLOms71xKLOGuwxYXFS37uBtyx1MfiJ53w0GQw5R3oQENPG2ytsUfK+LL/hzDm2dYdLhDcdC2krCs0jQQg1gNuvtzjMNk0kZg6jGgJFlQLOXfldkyd50wrAWbeOy0qGlLvt7mLKWQRte5j5nhV0E7LxxuCpwTGRXnWFFp77tBVVeUjXQkkaJf8hEjH+5rTBCSu04Rp70m6eIfhcAP3Ho1z70/aQATjR589V//qz9AO9Eu63zwpeHlwCZeP1dC6ysPEvVDqgynmWlw9dJVez9uX3/gzTKt5bQ6hA94NXK0zXOM32mij5N16jvnlXXINIgDpKzcy/AOlBtd97x7tQOd5uIgjGCk/lIFbI8UZGoB28ZKx5nFJ1i77q7mO+W6Me+sOF3t8kf7qq+BdE86N3UIrXDHmAnox1IKb9rcL6J9xbH0oecxbdN37t566mqcwk4cQZ3sEpQ7+0FrCu4mC0ryDDwu2vZPy85awLQSWxrJ5YawTJqWX+owV1iv12e5h/VGfPN0NAybImLQWEQPZRr3FFlusu22KfEOAgAFn4NFUMI8WrfcQNCUe2QUC3P8wCLRE9axcaviR01piAggI3itTrXw0z9wSueA4YAIzy7Wsbg1B3AkS/FmV6c9AwCA8EaZozglQiJ7F0nMwI5hs7mHuacstsjb1oiEWT0ynNAHzzAUCccVkWpwsSK32ssk/LQZMH40ZBpEGEVYYCtYr8TDBJKLVFjH3sLRAEQosNhZ3C0wRVGhgLT60cA6WIASUxU75wQzolH2P2kjgIIBrMyZMOyyuBFzzwDg31rjXarM9kxhPafokf4T2CFjLKRe4SWNMWKrqvuyUEsYD12ZzlisobGnC1Uqp4r2wmmACjTtzlqZXOkYH8485do/B5KfPBZAfPtdz71aawPJijyvGFM3AVHrH0gYi6ItAi2/sX3jhhfkxhDMuR8YVN2+0U0DnSnsINOg1+pYLTfxjj7B5qD79IgxMjO74TzFFeUC4MHeb6R0Z+/jDs+HHLc4csueQAsnaoGrzB30gKGI4vV/Cibbpp0DBhJ6YX1VVJe8FRt61eQY3rofqG8pg3FF6YKitRwRl/I41VbsoB1mfCeXGOwGM2yJM9LMEdFX+kRYIZnhx9N32BtYR671+UFZRMnjvFDjGqzHqd0k3vtEAiiLrLN7CmuuKdyD8UKaa2+JcWanQCvvklC20FoZwhqkxYm03fuwBV9YzuxsGTJBBvEikgsaVCd3dhkW+wUXAwPGuBBrveF+Di39PnlZVVcLUW/C5MpSyNEe0mTSmCDRiU188xo4dm2jJlEHMaUpps0t5VxpDC1vRmojrr1BVVT573oJJYGYFxIyU+m0qRASNQXH2vdAaORmG9QYDXlWTXTYQQoSVdonbicXYfrdmn9Q1rYaqqhIG0Liw0Fic7Cky3wsmxpIFqDCU4jE0NKwYfVpLi594gTBEyFEna4yxUh9n8gxWqKoqWQD1izbYWLD4omHa4Ghmm8kxu+6domMxxzxayAnKFADSWgWMGI10qa9VnmkljiIEA4sJpKmllaV5Lv3HCGGMMC/2vHoPhOKSbr4aO9z+zFdWQlbBqpo0p1lcnGxUxiahhsaYphjD7/lVNSmvOr1v1gFMMh6jqianSe/v4DAj7dF340dfPIPw7J7gJb0E/Sz4sAjqD0ZaGYEALm+pD3biS0D/Srq+NtNLvr5eq6pK3CadKuc5rDGEx0JHvSf0Af4EKu+DIKttJRC2CJ1VVeVTqtBtggAL6JgxY/K3S/razv4qTyFj/UO/9NmaUep2MBRmnlVFf+0Xbr5XfSZkljL1q3dqnNTjhtNvwhuBgguXfhHCC91H4ymEjGUCHeHNuKiqyfOKsEoZQUGEjyB0lDnOim9fLuUiWsBaTnBXnzVfOUJMHQ/1UX6oD+9BKKrPkXrezn4PmCDT2UMjLRAIBPqGAJcMjKajDDGbfattUmmLEfcBzB8iPil28P4idpgk2pvBe2o8CfPPRY9AM9rQINTT9FtER1vfRlt/MMsEaMzyaOsb91eMM83zSOsbRZLTyWjTR1rbe9pezDkrI2tTT8tO6/kpJ4xzgiGBaTDxCEFmMNGOZw0BAqP3kRh+gfBB69GXnhKGaKKcQsJFpGjj+lJnT8uyznh2MfP3tHzk7x0CNvBzA+Jy2Lsahm8pVgAuEObJ8G1ltAwCLK7cw4qGV9xoCTTRaBtN/0jrk/0z2s5leaS1vaftRQu5RVoHe1p2Ws/PusKCY+/qYGMRgsxgIx7PCwT6CYGqqvI3lOyF6avri4WWtpB5eKjcCu136I1ZuZ/gnGarYX2jCZ8CgFFygwnjOjEUgvkogXDQusEVhYvYoD1wEB+EtnXmwjiITenxo8wfNKLHBUdgAcq0UKT17sVxCSWoD4WbcQgyvXtnUSoQGBYIVFWV/Y+rarIfa28aVlX9U09vnh1lAoFAIBAYDQhEHwKBQGDwEQhBZvAxjycGAoFAIBAIBAKBQCAQCAQC0zoCfe5/CDJ9hjAqCAQCgUAgEAgEAoFAIBAIBAKBwUZgUAQZp5E4otPpFzroaEbnx5fjBB355yNDNvo5TlEewVGZjmbzO0Ig0G8IREWBQCAQCAQCgUAgEAgEAiMegV4JMs7fX3311ZPNPc6L9nExJz04h9o3Cnwh1hniBR3fhXAcm7y+GOoMa2f7OylJHnGOAPUhIueTixN852Ja2WSmvxECgUAgEBiuCES7AoFAIBAIBAKB4YZArwQZR1n64J6PJhE0fPTI1199TMfJR4cffnjylVvfhNBhJyG5d3KH02OcTqKcNMFJRb4C2zzt4IQTTkg+kCNPhEAgEAgEAoFAIBAIBEYQAtHUQCAQGGAEeiXIaJNjEh215ncJc8wxR/LRJOeNs64UQaakxzUQCAQCgUAgEAgEAoFAIBAIBAKB1gj0LLbXgky7x7z++uvptddeS9zIqqpKr776ajrnnHOSPTJPPfVUu2JTxd91113p85//fCp7ZMr9F77whXT99dfn72f40NkjjzzSUfb5559PO+ywQ/JNBFaeEsS9/PLLHfniRyAQCAQCgUAgEAgEAoFAIBAIjGwE+izIsLo89NBD6Z577klXXnll2nvvvdOf/vSntNlmm+U9NFVVpb/97W/p17/+darvf+kMNnX6eJQDAP7xj3+kcn/RRRel3/zmN+nZZ59N3M4IS5/73OdyVfKwBj333HP5WZdeemnyYb9ddtklnXrqqamvHwzMD4k/oxaBkdgxSgPzimDvwAx9IMw/+OCDeT7+4Q9/SPajiS/BPLEf7d57702PPvpoVjpI+8tf/pLOOOOMHGfPmriBCK+88kqifPjFL36RHPrRGU3Qv2eeeSax7j7wwAOp7Kkr7eoqveTryfWll17K7aOAaVdOH5544oncrt///vftsnXEt8vvXSjvXbh2hkVHZX34oU+PP/54QiM7q0a74I2m14O4ZjnvwHtE85tpg32vLcaId9NuDP/73/9Ov/3tb/P8qPfNb+3tKl2eCF0jgA7B2dh+4YUXcgHv58UXX8zrM7yffvrp1O49KSDNXtv7778/v69W+c0Z41keZYZDQIvNZ3SrM+UtjOq0Wl/q7S99Vw862Eyv5+3rb+/ol7/8ZYJjZ22uP8ec9x4F9ByfV0/3G/9mHdIH40HcUAc4Pvnkk8nYxE9qY1dtQjvRFbxnu7zGN0zU3S7PcI8357x/79R40F/9atVuayUeosljtMqrDvMU3saKNVE+aw1+RNzDDz+c1Cm+p6HPgoxBcMkll6Szzz47XXDBBUljbOyvqioTqemnnz7ZG0Po6G7j5F1ooYXSG9/4xlykfs99bfPNN08rrbRS2mSTTRLiJhNGrJyONssssyR7dRZccMGEAEiPEAiMNgQsDtdee21imXSgBkJx0EEHpb322ittscUW6dOf/nQ677zzEuZM3xGTyy67LB166KF5D9u+++6bfvCDH2RhZvbZZ8/zyd43RAVBU6Y/g3acfPLJ6Rvf+EY67bTT0u67756tq+2eYeFzcMi3vvWttM0226TddtttivlMIKqnf/nLX54ivV297eIRcHhsuOGGWaBr5oMfBkX77d07/vjj0y233NLM1nFf8h955JF5r18z//e///108MEHZ0XLV77ylfyuOgr38w9jg6LJuKDk6ax6+x1ZseFdAsUUpVCjXCIYsZyfeOKJzaRBv2d1h6d3UxbKZiO8P1h/6UtfyuNJ/7baaqs8X+TtKl2eCO0RMMd/+tOfJnPxkEMOSeZnYeyMweOOOy4de+yxef5/9atfTXfffXfbyihIv/nNbyYKlu985zvpa1/7WrrjjjsyX6EQBkoe73zFFVcUNaQBzSTsjxs3LjmV9dvf/nZWdrRqFH7liCOOSKecckrGaNddd01XXHFFB602DvUXjXSA0vbbb5/sQW5VV1/j0D3KXu+GB4y5/9hjj3VaLWHAPMKDCZ/61KeygqBeiACDdn/9619P6h6o9tef2Z3f11xzTdpnn33yGDR2jK3OyhHQrLNbbrllOv/889tmJcTsNnGNMr7bZhrGCd7pzTff3LE+e2fGsXW42WxzD8+/3XbbJQJ3M715T9lqvts/b8wTkAgxxsT3vve9hFZY49ELMkWzfFf3fRZkuG9p4FFHHZWtJCwlLCEImYHcVQN6mu6ktFKGwFJ+v+Md78iL0dVXX51MTMSTdm7MmDElS1wDgVGDAKbgs5/9bFpzzTUT4V7Hxo8fn5ZZZplkLiIyGGnzsSxKNOdHH310WmuttRIGYc8998wL6W233aZ4Igx9+MMfThQT5k6O7Mc/N954Y3IwCCuqdqy33noJYSOQtHoMxYQj2uW14Fx44YXpqquu6sjK3XTTTTdNJZ0ipZ7ekbGbP9CWmWeeOVssMCXNYpQiLM40czvuuGOySG+99dbNbB33lCzyw72Zn7BAoMQAeF/bbrttIljqU0cF/fiDMmjuuefOiw5ms13VFhFjS99OP/30VIITKVm86+VoKS188LAI1tOG4rfF0lji2tzq+dpoATX+Sr9czYexY8dmJrJVujkmvVWdETcZAfhed911WZFivGB0jW2H/chFiUJJgjnH7NlL62qeSG8GCgOHAh122GGJEmDOOefMDLF5KK+Dg6z7BNh2gqt8gxVYVyiRqqrKgpy+G1tTPz/luc4KglHEMK6xxhpZwcTCLj/6vPHGGycKgpNOOin97Gc/S8ccc0xixZHen4FCbJVVVkkEK5hjXCmcOnsGYdVJtbYNCBRASy21VEcRzD/aRwNPMEJPzLuODEP043e/+11WHo0ZMyavgfjUs846Kxmb7ZpEbEoLpwAAEABJREFUoT7vvPNmJRkGvlU+8RMmTEjW2s7oa6uywyXu8YnWemPRZ0/MS8IFPoAirtlG47S7a+25556b8BpogjXOOH7Pe96TPavMYePCGCewU3Baf5rP6+q+z4JM/QEYIYN5/fXXT74Zw0xZTx/I3yw/JH/Soe/RrLzyypmY0CQO5HOj7kBgKBAw8S3iCy+8cMfjMRKbT7RWYhAINDSCFkvESCaaEMIN7aUTApdYYomkDtomzF9VVcnpgayqjlhXpj/DAQcckN797ncnC6D5aqHG5DuKvdVzMPmYINaiwhBQkpS80vW1XXrJ190rxQgCq22tytCKWqAReCc3cn9tla/EyY/xIIQ18xO+vAMMzAwzzJAFUn0jjJXy/Xl1OAvLeFcutqUtaCiLtgAXzA5LVb1NmCua5SWXXLIePSS/jVkabWtPuwbAl6BuoTZv9I0SAHOz7rrrJu+jXTqhu129ET8JAUzcPhM13TT0LAzm5kwzzTQpceJfShXMDG8LgrWxT6D37iYmT/EfU0VIRscoGNSjXnQJbyGz90m4Iey4H+rAmoG+YdbQVkqRVm0iuLEy8Soxt8w5tIKAxlogffnll0/rrLNOpsfGK4WPdG5rrersS9xqq62WabK1YLnllkuzzTZbngvt6uQeaK8yJcC9996bfH5DOfOnlCH4U3AQQq03b3/720vSkF7RCONU+4wr/Cqaj6a3a1ihna7t8sABHYFDuzzDPd68MsZ4eJif9pqvvfbaWflIcCntx1PgtSm2YFjiW10plwgxrPk777xzQnONd3nVb+w5NMwc/tCHPpQ6XVMVahN6LciQOptaEIwU8xqtogmqgRgneWk4afC0w72AeVJGHDOTvOLcS3cvXllBfLn3m/ZQfCmDeNL2AE+grTXx5ZE/QiAwGhBAbOwf22CDDVJVVR1dog2k4SgRc801V94bVhZUZfxGQOSpqir5jQBbnMRJt6D96Ec/cttvAcOLLiyyyCKptNHCx6KLSBbaUH8gYooGaBt3KIsErU3JU09nRbL419NLvv64ctFjBt9oo43ynj9KGu+hXd20UDR0rfITbrjUEOgKFq4WVIuJ9Hb1DnR8VVWZiamqyeOKZYxLmnFRnq+dZ555Zj6QBUNZ4ofiimGiTS7CYWdt0FZYlzy0zxix+eabL0e1Srewl/ScKf60RIB7kjlNsGWdMEbMXZnxBbCm2a6qSWOLcOJdEGSaazTli/W9Phfkxzhh9NEF9Q6XQLGkf6uuumre+4c+6EOr9mEE8T2UriUdbpg53iSYfpbeqpqEU1VVibIGrYRBKdNfVxYHdcGbUsnzrSXiWgWCgHfsHey3336JQsr7LnmtMwQG1nT8l70W+lXSh+pqjeH6N//88+f909pRVVUyJo1VXjziehqMXxZDvCf60dPywyU/fp5i0TgobTImzVGKBXH2sKC1vAkIvOLaBZYVFkWyAGHcnICV96CMegte5gJlGeWksS69J6FXgoxO0a4wL+rY+PHjs9mTCYpfp8bqKO0LQsSvEEFjXkTQfvKTn+RNZRgY/omk2YsvvjifcMZfzmTiGqNuPrEmBkai3GOyxLlikBBQoCEOQMY8CPz39thjj2yW7QkokTcQSCkNWxAwbuYTjWdnjTQvafVoQeRDrF2bwWLDNC5+honWAVpOc9R9f4XOFgnzmuKi1bO4CtHocM2iwURP6vlK+k477ZT3zTXT63n78pv7BCaiqqq8H5DShEkcrWtVL/olvzS/5dcH+TE4FDLSmoFSphD6ZtpQ3BsXBDgLUXm+xY7liBaz9LGkDfYV3b/88ssTSwCPgJ48H/Ns8STwt+qHdGsThRwGuid1T4t5jQmMDzpjTWZl4F7FiolnaIcJxh5TXE9fZKLCAx3ybjHB5oSNxWhVM2+93FD9Zv3GsOkrAd9c51qHVjfbhHFm+eNmy/VK39AFY1nfhHoZtAItx890xTzWy/Xkt7HOYq7d+tGZkmbxxRfPNBCfxgUJE0rb7j16pkOZzBeKJnST+5a2288kfagCRr20sdkG/bemNuO7usfP4kW55HVl7e6qrqFOt7edsGzvJiy4bJpz1gDrs7WJgEpYp/zpqr3KGt/WbW5ohL2xY8dmd8l6WR4hrJncynhDeBf19O787pUgY5By+bAxx6Q1KYFAcLEhigvLtttumzTKYCaZG9DMVOIsDEylzKtcWWiBleMDT6PKvMT8DFDCD03lfPPNl9zzHXWPyPHBVIeJRYjhOkGYUrdNzxgNRIPfbnfAiDyBwEhAgEYMoTGX2rWXkgAhYdItGrd2eZvxmBH1N+OH4h5t4CaKhvCtRQwt7KUtmNeSTiNPwVJPL/n6ciV4YDS4IXBVHTduXOJDzqrCpxihr9cvPwJez09jyyLVbH+93HD8TWixiBWhmdDJ2k0Lyy1r6jYPXgzcWYusFUVY78nT9QWjaS2jEW+WlW6fp763Sm/mn5bvCSoYWkyLtd9cxcBiwLmDNZnzrrAiWFr70Tq8gd+Umt45/qGqJlkruqpnMNJZiNAHfJC2cqfCG9mvS4mLN6m3g7II34J2wYoAQSiAH36lSdfNN7yVOVevpz9/V1WVll122WxdobjgOobx7+wZaDNLLX5L+9E3ghzax2JDu+7gDbSSwgCz39+0ubP2DXQafOz7tIcOPzrQzxvo+o0xPLVxy0XdWnXTTTclAg2rtHdoLeAq2J22UF6in8aBjfyEfS685jIrXamDBYZsgI6bO+hFSevutVeCDEbHy+Mz3Qz8XhF+k1UjSKn1PDQKFo4SJz8hqNSno9L5aJc8XErq9whG/R4jA3zEkgaaP3MpSytECNKWCIHAaEAAYbGgt+sLbRotEWaizmy2mwfmM+VEqQ/TVlX9yyjU3ZLKc8rV8wu9KHHlyvUNc6AvToTBzBAUSroFpJ6OCNbTS76+XDEWzOAULPpBOUMBw2cfA9N8nvxVVSUuGiU/DTMlDQHTYgDjVm3C3NCKtUobijgLjvZgWjyf8GbPj++C0dwKLE40s/adcK+RbzCCjflcW+BqXdEWp5EZ+6wsrCmdtYMGnFul9adVPu/V6VHt0luVmVbjrPPcRMxlewnMEa6esKOJx6y0w8a7Mr+a6TS/XEpZLrjtmGvWfgrLZt6hvC+00xhEI/SdchVfwjpFIG62D4/EckFTjdn/xS9+keDgtNV6XuVZpOy7gXE9rT9/V1WVKIsIVZTA9icRIrt6hneOCbUn6Pnnn8/fD/Qu4eCdwwKDijH2/njQdFXnQKWjy+0w1A/7m3rybK5SsFpllVUS2iNQWAmEbQJdT+ob6rzWYCedEs64Rlvf0EjeTdYybmKMA3DSV/sReW4Yyzypmu337mFOODdHYI83l8867SpQ+BF01E+YIriL70nolSDTkwcMVl6aANoPEiVtB+uNAJy6W8RgtSeeEwgMFAIYRgtFK2GG6dyGUcQH8ai3weY884SWXTwTrsUFY4DIiBO4OvTUiqNcZ8GJWRQSfJRLuy3wtJCEgnaMvTqrqsoLpD5ZcCyU4kuoqknplBfqaaaXfL29YswsxoQQ2JR6aI0JHhaAEufaWX4CgUUOk0eDWepztTBiCJrvTZ1DEbgSYEK1SV+1wbuigaWtY40SMJeYTgIOZk6+wQgELAweTZ92CBgmCyPtLyG4s3bA37swNlvlK+kYzFbpETcZAQI7vGlgiwXCPDRu0Co0xhwi6JZ0giKh3p6FqppacaI8umQ+EGZY35zUONzeh3FoXrCA1y0O+i6tHS3VL3kc4W7jvNO9zLWCKoWUwxDwL+3qKHn741pVVf7khQ3YsEdLu1Mveq4vlMveF+souoGmlfLi0UX5StxgX7UBbaC8oAz0fG2n8NB270pcd4Nxy72WFwDaIxBECbC2OAwmLexum7vKZ331ngghtnuYzzwQCCTcwmwF0U+BOyFehDBnPWvWTZCl2Kjvn1KvcSW+nt94Q4cJMuZEPa2z3yVtuvJjpF/5djpGD3i0iHzngUVj5zrS+xftDwQKAqwQiLKFs8S5Wvi4dWJAEWqnSjlaGYOMYCM8mO5iLuZCgKkgACAw6iDcIPRMye77M3ALZW7GkHBd40fvpBIaLc/hD88FlbBFyOGeYSHXH5o8AprTy2iHSroPd0knEPG1Lenq62lg0eUuoD7118vbp6PNiDtmhbaNVonZnHaKBpPShM+0chQqhEqHEJT8+l3yY8A9T589y/Gl6JTFQvmBCPom2MzpPZdnoJfa7r2XOFft4jZTZ65o4/SBBq0EDCoNNLc7TKuygxEseNxtSjtcMSSsAKx0hbGmLeQW0WyT7+qw4Dfjyz1tOW1zuY9r5wjYB8ZiZzwZ2+YuOsUVBaNiTqBFlCfmBsuZ+Yp5UbM9r+YL2uWekGOeEZoJz6wFRaMrXZDHvPTbeHUdisBdhnvdhAkT8jHeMEDreJgYp8YaN3xWxNI+bo14FvuJ0QPuXCUNRugjxhJtQ8u5b1GmlDz9cSVssAzRwsMdljTiDkriwu8Z6BzGtSjACJXoYMnvvZn7RcDkzozG2CqAlhJerTXmJNqtzqEK6AVBC0OOFmqXfVe2JGgTCxiLCv7RfQlw0l9Xa6Z43g5wQndK4E1kPOvrSBRkvDcYGM/oH4UQIZ0gbZ0u/XQ1dymCYKDPLHL2ySkHH5Ya9JNhwToCb2OL0EPgY+029qw71iNj2xxeffXVFe9RGDWCDImRuwNiyVeelMhdbSg1AD16E5F5BCAwPJpowcCw0eSVFjEB01bSBHHDsrkSU4y5wDxgJBBem6KdmY8ZdYAGtwYEp9RjISMQcTMocf11pbnnE24DsFN5aHsc44iB9wyLC60+QcsCzrytD4I0ftdM24hqSUdQ1WnxkU6rKV19PQ3w0B5YOiTExsZSh+OTEXeLM1cmNEYfWInkYQ2GPSuwe/kJbgh7PT+hUTrMLZ6eadEjcGLY2rn/KdOXYJ8gnGDOZx0DVerDfGkr7EucK0EZQ1oYGnEjLdAMmw82XtfbDgeMpDFTjy+/pQvt0ku+uE5GAE1hmTOHMIyEex9LxTjKxY18zJgxyXfnzOmqqhLmnZVSOsvauHHj8qcb3Js33pv3YMz6cGlRuEg3T2nEMdUYIc+qa3/lGazAimHDMjql3ZQw6DGeRBu0n8BC2eIePg4oIew5IYyihJJJGuGN9Zy7pjKwEuAGC3n6K6Cj5r+2ciuyR4HghdaV9hBc0CpKMs+lFNB29A/dpcFHl6UJ9trAgVDKPQkz7N1heKUPZbB26iMFGOELvYY/RYx2ERb1nQLcvUDYQaPRi/Hjx+dva4kfbYG3BIMAoRofYOwRVlhQutNXwor3Djvj1LjAf5j/+BHrD2EYb07hRag35411448AZExRbnbnefU8o0aQqXcqfgcCoxkBizmBBJNMm6SvrAL2KmA+McVOFBRoQBBsC1ZVVfl7JTTU8iI6hP06488fm5tIZ5pqz+tNQBARLEw07SQG03ciSl36I47mixbW1hwAABAASURBVAKCIEFYwwRYbGg39VP+errFtJkuT08D5gKjQQNKg1rXDMEIg6LdrCeEMYTZou85BAG4sya5b5UfM1Lyy2ORtzDCg0Wk/jzp/RlowGi/LDYWa2Oi1I8JoUHW7xLnakEhnBlv7tsFixEGtF16GsQEC6HxzRLgsRhrGmW/64Flyf4L46geX35Lx4i1Sy/54joZAXTDPjZWVeMaw2LcmfdymbsOAMA8SieEEOilCd4HwYYW3715IWCEHSJgTokvQX3mPUWNeWcO0R6X9MG8miOUKvqmzRh/9IKCVTsoZbiPFXpNSy0OHbHXQHn5BG54FA8sGWh4Cay3tOLy9FeAKcYdY6/dmFACKaVXecaBBx6YMLkER3FOpqU91x/WF2tFvf3q9GmAQispfSiYypxUx1AGwiUa4V0ROB1YUNqDfnA1QydLnLFHUWVttEcT413SmleWQ4JSM34k3NvHiZZ7b4QYyrj6e232AY7WFB4i0ljmjVGukGWcs9jAw1gnCKMJniO/9UV+ay2Ln7lPQWv8SO9JCEGmJ2hF3kBgmCDAPxfBodFn7mZx4eNrca8HcXXCIJ8FRR5MtfvSJe5ntG1MvwhQie/PK6bGvhLtovGrqsm+8bRACCDLjWeWdsrbbGt30uXpSdAeuJRQmJBSB6xomaRrG+GwpHkHFrlioRHfWf56uv5hmKtqMhbS+zNYkLS7BM8r9XN9YwXjeljiXL2rej5xrYJ3A7tWaYMdp5/aU1WTsOR6hElz6Eu9Ld6dd1mPq//uKr2eN35PRgCtYWExzowdc2Byasp7MKQb8+ZXVU16T/KwBCuHkXfvN1ohn/tmULd5KJ+gXmO2mW+w7o0Z7dUW7dK+8mzKGYww5k+cPDAwb6pqMgbS1CO9GQaqf9rgWdqj3U0M0Tabuovywxwr+c017dXueqiqKn/DTD7zrFWeev7B/F1VVdJubdPfetvQQoIjgbu0qfRXfsG4LmnNqzShGT8S7r13Y8wY1ueqmnJcNvsgv3dbxjmXO5YYHhZc7Ep+dRlbgrFWVZPqhbvyMPXcelop293rdN3NGPkCgUBgeCHA/cs+ABqkosXsbQv5ptJs8uulSURkeltXb8vxCydE0ez0to6hKsen2l4S7R+qNvT2uXz5nSxDs9rbOoZrOZp6C3NdwByubZ3W22V/GQsOmjbasGDR4HJVZ/BGSh/tYfDdkCKEjZR296adhE3uZ8UFuDd1TKtl8BCUkVw8BxuDmiAz2I+O5wUCgUBfEKiqSa5irDNFK9Lb+mhXMBBcF2hVe1tPX8p59kBZgvrSru6UdSKbE1y6k3e45WHqH4jDHYZDP7mIcWEwvodDe6IN7RHAKNPmts8xclO4OA7U/reBRmXppZdOdRfAgX7eUNZPiVb2ywxlO0bisx3kYB1kWRns9ocgM9iIx/NGFwJD3BtmW/7MfRU+EB+aqGD4hviFxuMDgUAgEAgEAoFAoNsIhCDTbagiYyAQCAQCgUB/IBB1BAKBQCAQCAQC/YFACDL9gWLUEQgEAoFAIBAIBAKBwMAhEDUHAoFACwRCkGkBSkQFAoFAIBAIBAKBQCAQCAQCgcDwRqBzQaZN2x9//PHkmw4293QWyukFzuuW76677mpTY0QPFAI+QOSjRo5WdbTgQD0n6g0EAoFAIBAIBAKBQCAQCAQGE4FeCTLOi3a2u482+UiSj8E55lLwQTlxPmKlI6+88kpyjr+0G2+8UVSEAUTgV7/6VfJ9Ebh7zF//+tfkXHQfRvRNBXERBhaBqD0QCAQCgUAgEAgEAoFAYOAR6JUg48M2X//611NnR3Zuvvnmae21184fHvIhpV133TX5YuzAd2nafYIvAe+9997p5ptv7gDhPe95T/IF5QMOOCARPjsS4kcgEAgEAsMHgWhJIBAIBAKBQCDQYwR6Jcj4aJ6z+R392u6Jvti5wQYbpMsvvzyxzjzxxBPp17/+dWKtIdT46J7wy1/+MrkK55xzTmJBKOn77bffVNUfc8wxOb8vr/oAz1QZahFHH310zqvuCy64IBWLBGsF5l68cMopp3SUuummmzrKnHfeeelrX/tavj/ooIOSL9yWjKeeemryQUL1+NjV73//+3TFFVfkvOo844wzsiXEb8G957NKuRdOPPHEdPrpp3eUefnll9MNN9zQcf+LX/wiP07cFltskeO33377dNhhh+Xf6sgZJv655ppr0jbbbJPx9hVegiQXwM9+9rNZsGEVY0mbmDV5DsFGeYEFR7zAyiZOuPDCC9M+++yTn3XooYd24CdfhEAgEAgEAoFAIBAYSgTi2YFAIDDdQEOw7LLLJgz0j3/844TZn2WWWdLHPvaxdPvttydxW221Vfrc5z6X7r///oTpXnnlldOYMWPSn/70p3TEEUckrmqljTvssEPixkZAeuSRRxLmvqQ1r/tMZMBZjTbccMPko2hjx45N9913X/rHP/6RBQGCyZFHHplYML70pS/lev/1r3+lxRZbLFuRtG3bbbdNPtI100wzZasGIcdzbr311nTUUUcl+04+8IEP5HY///zzafXVV08+KqgsAW3JJZfsuCfs/Pe//01LLbVU8tEvefbYY4/02muvpQUXXDBjMffcc6eLL744rbbaaolgAhvPW2mlldKMM86YLrnkknTVVVflOsQRnMZMxEqeOeecM7GU+a3NJ598clIfYcuzCFDeQxFiCEPHH3982mWXXdJOO+2U/NY+VjbfElGGYKQu9wceeGAWzNQfYWgQmH322RPXQU//9re/new7q4evfOUrknI44YQTpko3J3LixD/mQym7wAILJON1YnT+711Ls6fNWD/44INTV0qDXLCLP6+//noq++XUX8Z3Z8WMd3mF+eabb6qs2rjEEkvkvhqvU2WIiEAgEAgEAoFAIBAYtQj0WJDpKRKsNvWP9U033XSZKa+qKld12WWXJUz4zDPPnC0erDcf+chHknsWjEcffTTnw4izEBAqCCeYf0yO/R85Q+3P3XffndRLaMHcrLPOOolQwbWKMPWd73wnLb744lmgmHfeedNyyy2XCDWsQdqqzaoj5KywwgrJPSHntttuE51soH/mmWfS+eefnxZaaKHEWkHQUP8MM8yQ8/ijnDi/S1B/idtyyy2TAxF8iFD6rLPOmgUKgheL1oMPPpg8Vz2CPD5+yGVvvfXWy+0i0LGi6E95tryzTBQY3/CGNyT1KFfCww8/nL73ve8lFrV3vOMdCRNLuMKsvvjii7lO5eVnjfIu3GsHplZ8hMFDwBzwfpdZZpl09tlnp0UXXTQL+QReboP1YAxrGSUAQbSe5jfFwAsvvJDMiTPPPDML74899lhaddVVE2GAMC6Yc/a0seItvfTSWRFBuFav+nsbzO0vfvGL6bjjjsuWQ1bSj3/8422FpPHjx6evfvWrSdsJ4Y//75ARwr82aOcaa6yRlREsvVdeeWXaeuuts7JCeoRAIBAIBAKBQCAQGN0IDLgg01f4CAzqeOihh5JTt/7+97+ns846K917772JhvfnP/+55ClCETRKJEGGEMJ6gvHHpHGPI1SVPISY3/zmN+W20yvmjkWEe1lhxFg/Oi3Uy8TS/2Zxgl5VVVn4+/Of/9xMbnuv/5hVQkxVTRImZX722WdTd/svf4QeIdDrzNwLWRZZBzHtKjKWvX9x0u688848H6QJBE6CbKv0J598ssP6QohXz8ILL5z3T7GSvvnNb86KBULwmmuumQjHBHrWEBYU5T2jp+Evf/lLFpwI6wR1CoLll18+HwTC/bRZHwuQcW2eC6y18rAoEsb83nfffTuUEe5ZaidMmJBdKd1HCAQCgUAgEAgEAoHRjcCwF2QK/AQYrk9VVSVMmn00F110UcJslTzlSkCpqklMOga9xLti0FxbBeVaxTfjWIO+9a1vJa48Tz31VNpxxx0Trbn2NfMOxn13260tneXtDBtlIwwuAsaTPVSYdxYRTyeEXn311enSSy9Nu+22W3YL5Cb2u9/9TnKSzi2RG2I9nSVSBtY1Vk2/99xzz8TSSVgmqLBMshiywhE05p9/ftmyqyVB4qabbkqnnXZajuvpHwIQZUG9HAGKJYWwVt9/Jo+xSIDyW9+41LF6co/jmqkuVlf9IWzJJ7AaqY8ly32EkYxAtD0QCAQCgUAgEOgcgREjyCyyyCLZ7QmDYx/HxhtvnLjbcCNrdnGeeebJWmXx3E1cS8A8scaU+3LFHHlGue/sSuPNveXAAw9M3GNojjFaGM/OyvVnGoaVRapo1NXNBce1s/C+970v7ydo5uGyJq0ZH/dDh4DxxA2QO1kZs1zBnErH1UrLMPRcHFkd3RNYpCvrvqRzR3T/3ve+N33mM5/Jrpv2jK2//vr5EA6CkX0o8nBTtLfK7xLe//73ZxczAjthocR398oCKC93z2JRcS8Q1JqCB6FFGvdRro/2ysnDOiOe1dWhHX7XA1yefvrpvPesHh+/A4FAIBCYJhCITgYC0xgCfRZknESGqSi4OQLYCWWFkeLGVRgXWlkaWFYMTIkyXJ0IAhgc93/4wx+SfCww7jFifm+00UbJwQGYqMMPPzwfDsCHnruLfPVg/8daa62VNclcbzB2TgjDrGH2aXq50XBL45bjoIFx48ZlS499ItqsPppqjGO5107tf/7555M22EPAwsFdhlBlUzyXM+45LEE2UP/gBz9QVeJaox5Y6JNIdemP4J7rHEYUI1bw8XxpJWgT4QmDZ98KLTpXN+nc22jU4cdiRNgq5eHrN2uSE99gQnPNTcm+Gft8aOq1TzvV51naU+61q/yWHmFgEeAm5R0bX2VfFWHbuCXESiPkvPWtb03eoZPx3Jd07999SR8/fnwyXs0ZJwISaggRDo2wCd/40yPxDsDwuwRji/XDmGAhKfHdvSrvpDzj0F63O+64I59gqD0OMVB3q7oIYIQnViL9dciB9hb60qoMbFrFR1wgEAgEAoFAIBAIjC4E+izInHfeeZkhwfgIBATH/2I6QEWooc2Vxu+d4IMZcuKYuOuvvz4RXvj/u5efpvjDH/5wco8Jw5irS73i+NjTVBNuxLcKNhbbwM5y88Mf/jA5TQxTNMMMM+R6nX5mQzTXGid2bbfddokgglkn7HgO5lF6ucds2UfCcsEt50c/+lH2x1d+zP9OD+MCRCjAfNrL42hndbnHABL6aNfFqRdDx63G/SabbJK4DRFwaM3FETTq/SNsEKQIJVzaHBFd0rXJ5mjts3lbf2yIVo+9PI5xVt5paQSxc889N58eR8jD3GIq9Z+wo4x7Ak/9nqBanhfXgUXAPGk+wfg1J8R7v8bP7rvvnsQRTOvpxms9neBNUPe+uawRho0549xc8a7V2y4QRgi6FBHt8nQWT6lg3rF+2l9m/vjtIA5tbVcWLTDOCe1ogTloHLfLry5jt116xAcCgUAgEAgEAoHA6ECgz4IMS4ZTiOph2223zZuHQYTBr6fxvcdslzjHABMiOrvVs7DXAAAQAElEQVSnhVaXUPK5cjET1y5g8OQTMGysFfJi9ggB4gVMPGZOGquPuBLsMyi/XW1QxtizgjglShyhA/OkvCOQ7d8RLxCkXAVaZUyZ3yX4Xkv57eoUM5uY/RZYj9RbAobVcdXShBJfrtzdxDvZjRue3yU4Llo+bjvl9ChpvjlT2q+N4kpgvSm/XeGjjgh9RaB/ynMtdAqZjfusL81aSzqhWToh4KSTTkr2v3CzJNAay8pRFLgOVCB4lXlH4K+qKqEHjlzv6pmEKPPK/CL86I9rs5x5bL+PazMt7gOBQCAQCAQCgUBgdCHQZ0FmdMERvQkEhg8CLI/N1hBEHJfM4ljSCCsEGRvypa+yyiqJa2E9HXMvnWsXix5hXrq9K9L8Zil0bRdYAQnBhIl2eboTb5O+TfusKtrJWqkcoZ810SlmLDD677c0wR4ebm/2zGiHj8PqD9dT6YJ0bp5hkYHGKAzRpUAgEAgEAoFAoIZACDI1MIbrTydQ2eTs+GibmVlW7NcZru2NdvUPAj5GSkixvwrDrlZ7WrhiOjHv05/+dN4rhun3zR9WNencF/faa69U0rkQlnRWGRY4h2BwLXMSGXdPVhGuiZ7RKviGi30pBAVui63ydBZH2ODa5hABH2FlZeVqyjKknD0+2kQQ01595MLGguOkNPvYHGrANY2rqjL6RPhyEIB0rqL6zAVNeoRAIBAIBAKBlAKDQGA0IxCCzAh4u9zE7HWwd0iwx6GVW80I6Eo0sQcIcA20V8mJeOWACNaIY445Ju/zskneXjHMvAMuVN0qndWlpPttD9f++++f92PZA+bDrParKN8uGHdcw9Zdd93khLt2+drF29viI5wsLgRzwkc9r3iCyaabbpr3+7Ae6TvBx6EZ+qnNXNJKOYdqOKSAgCWddcc+nJIe10AgEAgEAoFAIBAY3QgMkCAzukGL3gUCg4FAVVXJ/i1Ca93Far311kv2K5Ww2Wab5Q9XljZ1lc5Fq75PzV4ywlAp37yynDi0wmEZY8eObSZ3654FRnsJUe0sOtpE4HLwB0uU/PVQXODqDyQAlb1q9trV0+J3IBAIBAKBQCAQCIxuBEKQGd3vN3o3khBo0VYHS7A0OAHv4osvbpFjYKO4tLFyOE6cCxuLzkA9ccyYMfmIdd+2Yf0ZqOdEvYFAIBAIBAKBQCAwOhAIQWZ0vMfoxShFwKZ1J9098MAD6aCDDkqDffz1Qw89lOyLKUd3DyTMjhrnOlZOFxzIZ0XdoweB6EkgEAgEAoHAtItACDLT7ruPno8wBGyWZ6EZzGY7mtleFSeMDeZz41mBQCAQCAQCA4ZAVBwIjBoEQpAZNa8yOhIIBAKBQCAQCAQCgUAgEAhMOwgMniAz7WAaPQ0EAoFAIBAIBAKBQCAQCAQCgQFGIASZAQY4qg8E+oJAlA0EAoFAIBAIBAKBQCAQaI1ArwSZF198MfnuxAknnJA6C9ddd13rp/Yh1gfzyjN9W6VVVa+88kpywpPvVrRK7yrORwV9XK88x0cDS5mf/vSn6Zxzzkk+Ulji4hoIBAKBQCAwbBCIhgQCgUAgEAhMIwj0SpBxFOuxxx6bCDTvfve7069//ev8gT6bgh3XKu7uu+9O559/frdgVL4npzH5oJ5nXXHFFS3rf/jhh9MBBxyQvvCFL6Tf/e53LfN0FulDhL6rcfzxx+d+XXjhhR3Z99prr/T5z38+/exnP+uIG6gfvRXE+tqe+++/Pz3xxBN9rSbKBwKBQCAQCAQCgcCIQCAaGQiMTAR6Jcjoqo/P7bLLLmmTTTZJPmInTlh11VVznA/fzTrrrKI6DYQiQgdhptOM/0ucc8450/zzz/+/u9YXHxD00T/CyHve857WmTqJnWGGGdLKK6+cWrXfKU5zzTVXmn322Tupoe9J3/zmN9MFF1zQ94p6WMMzzzyTj/l17G4Pi0b2QCAQCAQCgUAgEAgEAoFAYNAQ6JUg47sSvvDt69vtWjrPPPMkzPi///3vbBX55S9/mYTnnnuuo8ijjz6attlmm8Sy8vvf/z6xpJTEP/zhDzm/MtL+9a9/laROr5732muvJdYU9b7++uvJM9UjsDQ8/vjjue7680qlLDjyef5///vfEp2vrEY77rhjuuiii9L73ve+HCev8Ktf/Sr95z//SfpEKOPeJsPf/va3/Cx5WKvElcCiJV547LHHkue9+uqr6bjjjktHHHFE+utf/5oIFNpfyjSvnqW8oGxJh8GDDz6Yn62Ol156qSTldsJUGYLL3//+9wTfxyfisvvuu6cf/vCHHe9MIWVhJb9+abf4CIFAIBAIBAKBQCAQCAQCgcBQIdArQaYnjT377LOzsHLkkUdmN61dd9013XfffQlT/4Mf/CBdeeWVmYm+5ppr0rnnnpsIIrfeemv6yle+kk488cREYFprrbXST37yk8zod/Vs9X77299Oyy+/fFp88cXT008/ne699960wQYb5PvNNtssnXTSSfl+hRVWyIJCqfPqq69O6623XuI+dvrpp0+1D8a+G3Uqp43KHX744bleligWlL333juVdELNl7/85bTDDjvk4IOGhALlCEzybrnllonwsOGGG6bbb789ET5gRnh58skn0xlnnJEISco0wymnnJLWXnvt5Mvrq6++ejrwwANzFsLTySefnHwp3XWnnXZKX/3qV7NgJMO9E/GAw3e+852MBTzs+eHKdumll8qSYHHqqacmwpE2fPGLX0zf/e53s3BK0MmZ4s9QIBDPDAQCgUAgEAgEAoFAIBCYiMCACjL2yey5555pxhlnzBYGVgbCCksNa4O0iW1IXLk+97nPpXHjxuV9N0cddVSyqf7ggw9On/zkJ5MN/jbfY6rl7yy89a1vTauttlqqW4uWWWaZtNhii+Vi3M0++9nPpve///3ZUnPWWWfleELDbrvtlp5//vnM9BM+tDsn/u9Pae//bvOFgOCHcn/+85/z/pl55503TTfddPn35ZdfngUV+2rsKyIMsWrA4LTTTkueqQ5Wkeuvvz6xZK255pqqzFYf+VZcccV8X/9z7bXX5rLc7AgYSyyxRMZYHkIILAlUDixg9dLPww47LAuN0llp9JHgpoyw8847p1lmmcXPxPLEquU9EW7e+MY3pqOPPjq3j7CYM8WfQGAUIUCRYE5QLnz/+99PRenQ7CJrJ9p01VVXNZOmuGfFRDM23XTTZO436+NWe8wxx6QtttiiZfoUlXXzhiLIXEdn60UoTkpb7B2866676sktf6MT2l4CmlMyUtLU60PrS1pvrrBwiMr3vve9qYo/NtFaTbG1+eabZ0XKU089NUWertInZZ781zrisJqtt946UTQ98MADieV+co6UlVgUbePHj69H9+r3Cy+8kBV2X/va1zotzypOiVXwrl+tDwpTOH3rW99Kn/rUp5L6jDHxvQ3Woptvvjkr2npSh4N2rCfmStkv+s9//jOZE9ZXbafwMldKvdIpLtull3zlqm1nnnlm8gwKzRtvvDHV69Nuz2kGirpSR0+u8L/nnnsSBSPvimZZY5w7vedRImpfPY++b7vttgkvU58r9Tz138btIYcckoxrSsNmfRMmTMh1ed4+++zTp32rPDDUoS48RRlPpT1dpZd85eqd66f+ttoLDSvp3h1FaJP2lXqG4sqLBa/zmc98JlH0duVhAhvKbdjtNFEpfNttt03RbIrmUh9ebDD7ij/D42kbZfOdd96ZjQFTNLB2U89vLLfKT0lvjbAWOrDLvChVKI8vRH/wrRTvPIlKevPq3curffXAu0le9fFAksbIYdy0mnvydhYGVJDBxFug7DV529veluxv0UiEhqXkzW9+81Rt+7//+7+8N8ViAyBCjkwmnnu/+xK0YY455uioguXDjTYRZqaffvpkD4wDC+rCkDydBXk//elPp1VWWSXddNNNua8GiT5yxdN/wg23tD/96U8JwYSF59iP8/Of/zxbgoog0dmzpBEuEHWC27ve9a7s7maRc+Ka5xKs7F3yTHXqlwEPX/t7LNysSA4yMIDUQchTdz3A/x3veEcyoLXVHiH7o+p54ncgMNIRwJhhbM0BFk1E3oEirfqFQUN8CzFulUfaJz7xifTRj3402S+IJqi/vshRFhAwWFRvueWWhCloVVdP4tARCiP0rJRDb1h8ucOyvq677rqZeeqKCcaoWmhKYI1WJzq5/vrrp0UWWSRbdNdZZ53MWFM4Se9pUB9MWaabTIK2Y2aXW265xMKMgWSptz54jrLNdJZmtFF6q4DZIEB63qKLLpowAGUdkP+Pf/xjpqcENeNCXG+DejHvaCya3Vk9cMasW38o2gRrZ1EcGTuYRmuJvamXXXZZPtSGAq2zetulwdC43H///bPlv12+erwyxrN3jgHcY489skeCPBh5gqh5g8mh+MIoFkYIDhgbWJR076Kkq6MeCHUCZZ1xgfG0XpU8sLAXFk4CJSCMrG0lT0+uhPtvfOMb+STWJq+BYSP0brzxxlnhaswReMq74TEimGd4Hu8Hs9/Z8+Ek3R5hHiD77bef2xw8b7eJilVKDnMW30KY6827xohT7uIHeJDwiNE+PJWHSefRYW2XjnZQIOd0GRoBs2kOogEzzTRTQitvuOGGjlzSMa/GrjrMM0JNR4Yh/IFGGXMUuOgXGnfeeee1bRE+VV/wcN6D94//IbwohIaqD01FX82NzupTpr8CXo9CDb+30EILJWuI8ef9tnqG/LyCSn6KAPltGSj50R9CjPFh7JX80pU3TvG6BA+CtrGL15TeDLZnMEjYp25+Cu+ayKtSGM4333xJfWiPNWuBBRZIxpAxRcnerKur+wEVZOxHKQ2oqqr8TAa3TnRE1H4AifYSyFtttVVCWGrJA/aTlo9gUVVVqqqqx88hMLBaOPFMHzBDiKGF2EtHpEwG6fpfCCANKuHCpEcUuvtgE0z9ZRHwTAKH+zKwtKlenzSEEFHZdtttk+fCF4Nlwa3nLb8xdjR/CJ08hB+aU+0ueeIaCIxkBMx7GnqMByEAU21hEmeRL33DINHem18E/BLfvKrP4o15sFAsvPDCWZhBqFlk5cegWXjkYy3GGGCEmpYUebsbMMIWKYedaGspJ47CwwKMRuibxQWNLXnqV3Rl/PjxSdstyrTL2m4Rkk99mGk0RH2YAkyk/kjvacC4E+owAs2yBBIMHKFw++23z5biCRM11UV7TctfT0fb6unN+jCI6Bd6vOSSS2ZtP8XOuHHjOrLOPffc2ZqOOeiI7OUPjDaGAJNYfyetqsOEGw/WvwMPPDAzzAThlVZaKVFEGVes8zSlXIMJY5iW+jrbqt52ccYw1+RVJirfqqrrNc+a5ZmUccaDuYI5ftOb3pS8B0whBph3gHhaauOHUC8dkyydQCwdw2S8S2+2UX5CPuGP1QJzbC0yRwhQBFiCDSYSVgLtP4bI+2vW15172G600UaJ8rGe31pHSUl4s/6Zr9zX7cEtc8h6z1KmvDYZn9zljEyeXAAAEABJREFU6/XUf5vv1nDWKcI0AQ1t4JUhnzEKo4997GPJHCP0WL9hIr27wZjBLFICYMgXXHDB5N5chb10c0E6PkU65lS/vLtWz8G/EEgxnd45WsJ6Ka/6nCpLGLKdgLs95h9NZcWVZyiDMaz/xj0h3LYFY6xdmyiczRN0xXvgLWOMYfiVUR/aYWxQfHz84x9P+i9toAOhDH0gXHgPaDYlfbvny288lfzeobXCuNNW/J1xbQxbu4x1/SWwG3ssy7Zo4BeNlX333TeZl9ZD5ZvBHGZJNy/MT8GWD3MJ70kYhBflB1qiXeZ4aU+zvs7uB1SQWWqppVo+G3j/z95dwGtSlX8AP8MfEZCWEkGWkhBwQUCaJUS6OxfpEJAucUlBuqVTujulkU4RFGlQSkpBmv9+B851dvZ9733v3Vu7PPvZc2fm9PzmzDnP73meM68OS7TAOuZgYDBd0cB5yU2GOa0njxYcgr9F3OI5om1Z6IuiKF21PEisV6CJsnBK1wahwDEHffDi5OtmR9oEg8EixhKT83GHIxjk6+rRBG+gY8oGlQnXwKLZ88LKO8444zi0BROyiZ3gRUNkcJqcEL+2THESCIzECNAyU5rkd9I7ZOFyS4QYR8FEzjLJZZPiQVyj4AMaBOYBQ7VOOZ02yjWttPZM3gjONF9/gRFJIBAgDd6xXK7VozmLSxlBpE4IzLcUKt5bQghhyDvt3W9UPwFLXbRxgwcPLn83y73nvLk+whfhm4Bi3phnnnlylm47woerrgqLokiURVyF8xxZTZenni4uB0SC9s+CPXDgwDIaDp5Dvpcyso/+eHbGSW7e3Mv9aNZZZy3v2/isrqnmf2SLtj6X6ckj6w2BlQURWam29cwzzySWLMJejoexsSRNQD7yui+Pe8nprqvBOOUSnZ+ze3dNULZGW+Pmm2++apFEyWCsWMuHSRjBC+ul91mbuSp9N0+wFOkPgpbTrOGIJ2KU46pH7zf3Lmt4fnbWZvXRVptzjAVrMosgIdJxwND5xP1V6+ronHWIhpvwnfMa78YZgRH+jdKRK+n6ksvlIwE3n7tXRJZyRJx5iKuc5+Xa86NAcd6oLvG9GYzbPHcXxVfzCeG+WR+MZ8pfpA+B9j56ttYAZYzxCSaYwGmpAIcFxUAZ0cN/eMiQk7WpKc+UwsR4cV0P8pujc36EvJqfdYmMisTksuoU7yc5lLe2eObmUu+id7Auw+eyxpyxlq+NDcpC5Eic90l/zNmuKTjg6f1w3ZnQo0TGy+2FMBAI2xYRg8CLwDqhowYV8iIQlr14mKJBg21WNaLy91QwmGkVtUvLxY/S4q892olHHnnEacvBRLTkkksmbJXmJmtL4YBMGOweIK2vwWMRYB2xOFlcNUQgUs7k5roaaChh6cWivZFmckQwsFz40hoY1AQX90UjJh9NERcNGldaLQPRhCMtv5T6nZ8DLRxhhauAwclylF8GZSL0GgLRUA8g4H2bbbbZhqmZ0GXRM9nmBH7s8gk5rtHRe8nySutZTSdgea+8S95b80013VxozqmShmp6e+eIBzJkzqnno9llzaDtpzWksaNNa3Yf8KDo4ErhXmhsaZBzveqjZOJqoz4aTXma1ZfLjciRBd88Z65kCSL0VeuTTtggzCJfeT6r5rFA0v6bvzyfnMaa7bl4JjmuPxwRLmMBkSmK/1lMrJUIsefDLS4Lwz3dZ+MfVgRfwiorQV4XEVnkA2HJ/bC+GT+EZZhbg+Cf06110q1zyECOd0R4CPrOc8hYaCvHVY/cWAYNGpSqz7aa3tXzPNYIYdU6rJvkFYoJ8QQ745MHA6tGMyKDGFFAkgOUywFG5ADP1/pOdqLI5a6EyLAkdPZZW6fhwYKW23EkoMNT3xulU7ZK98zkbxR85ZTVhTzHOiOPezBenedAJiGgIms5rq+P3ncykHtnMW3WH3MaImbuFOzVNu+5n2oZFjmKYXh7N6ppPXVu/FQxpfgg7zVTUDXKb05ERvTR2lMfl9YCxAWRkScHlkNbR1hnrGs5vr2j8QJvmMpnLCNHzgVzOLKbSaK4VsMIExmaCZr63CAh2qKpUzpJ24+9YX5u2uTHFGfAK2PfBvCZyz0UE2WeANwwQRsLJPCz1BDCaYWUJVjnc9cC0sQ85uh6pZVWSgYsTapr9TAnehD5mnbUxIkweHC0sSwnJkxtIwTYq3tTxsvNL9TLYH+LOO0hL84FCyk/WpoKBA0zZfpThwneZEdYQJgQNuY2+CiLYBiMTG8mNIKD+GrwIhkYcNZXE482YKg+iz6zn8ECb/eYXzB5TJY0wCZcHyLIgyeTHZvaDHxteh7yacPLYuMbray0CIHAqIaAMU4oZknN8xThH9GwaJuM27tnEztBnxsMczmB1LxlMTC/WOzqgluujzAk5OtWjuYtcyjXEcJhvQxBjHuABds8YC9De+8vbao5RH79p5Bi+ueaoG6Y2DhsPvHBEh8FyHOF9J4IFlvuZ6xKAgGs2o75snn6VzlhXi/3VcpXf2kMvzrrH3+RAkKEebraI/O1Z21M+igFolBN76lz5Mmabk3j7kUg556jn/rI7cQaZ6+JMU+BRyGAYLMkEHalW5fq6e6zvX4TFFkouNQ1GuMEMKHRWtleva2kGdtkHHizUui7o/fBnOD9Uo/78t54Z5BM5EN8PZhf6nH52ntsnHoHWUQpFrkNUejCMedr9ag8azNlLGWEviM1CKh+s/KQO6TbW1ZPV75RWwRgMgjlaZ5TGuUjZ7B22lNo7muUpy/iKGS5PZHNkJNmfYAR4kJ5YuxS2pAV6/nJfuZE8mh79dXLded1fg/Ja63Ua/x6/ln280ybzYGeY67Tu0AupTyj7EZ4c1p7R5Yd8qix3SgfeZeF2VzfKL29uBEmMl4ImhhkRTDhWNzyoDVg+Cx7QeRjdTA4cqdMfsohB6wibhIBEMcawXJB2LcAEf4tqkCVTohHdHJdjhZoCzVhQB5WIFpDD8i1OpmD8zWNCqFDWS+tyVk/DUbtCgYu4QMZUoeJxqCR3/2K05661JMDDEx42tKuyS1PwogOAqIcQmQiyRMVdwnCCXbKnE9rlevMRxO/fmnbxMjSgwCpn6DF5Og+9AlO/IelKY/ImSQxcOmITk6j0VKnsvw+9YnAYhHThsFvoBXF/zSE6owQCIwKCBAkuHcNHjw4zT333OUtmWAJ64Rl2mhaf/MRTSMBw3taZvz6T1EU5efjueDY7EzwpKn1TlH8eNeKovH7470Wvq6qw4M+6BstqH7qm7nWe23uMvfoqwWbBchcrB+Eyo4sEEVRlB9eobggzBGAdEh9FmzCqTgLGeG2o/qU7WpAAvndE8pg6l6rdcFXuvXAPOveq+nOi6JoV1tvjk/96J9xSCipjwcClXmYcslaZ12yJvVk1+EJH24hyAKBg4BtHbSeaptikdsfQmkTMusC5Zc1xD2w7CtLUYgI5XRjS/lmwfpFCGdFNOYa5WMtIktY+xqlj0hcURSJUoNrm36TJ4z1oigS5WFRfPUumx+QKYI7odC66l2rt+39r8fla2mwUo4SmIzgK67eX7h5t3PeVo5FUZSb8fWf4EnJzLJkfjC/wYtSllxG7homfej8py+N2jEW8txjXlGOjFPNa140P9hPAZtqWl+fk2WMW/IlS5d7adQn8yfFCQuW/OQ1e354uVTzq8/XvgYNtQia93tLuZD7YA42RyIY+prjmx3lN2fa1E+OlM+zFpzXQ1UGtYePV4HxTcmP4Nfz16+tGdpD+Kp15XzkaGsr+Z5cneNbPY4wkWm1ocgXCAQCgUB/RgCBN9larGwGzX01wRLYCGg5UAKw2hAyKCJy3uqRFYR2mkWYQoV1l1KAcMdqY/Gr5icI0FhJq8a3d24B5gpL4Ml949LGAsQVQrrFhvBLs2jjOMs2ZRLNcXt15zSCKIs0bbw4won6aOZYpNVHMSNOek8FQiNSxVJPkKy3Ix3mzdJZwrkKUvxUBX+LOqWTRbZeZ19dE1i5SvEhb9QHz8JmecorVo/q/TTKP6JxLC6EXgJJrovAYVwQirVPiYhwUG7SdhuHPgRh3CsjndZfuufk/hDqnC5PPVBacmGh5KRAq6e7pgTlgUDx5rqnAnKGBLBCUFB6Nj6CU22PRwkvEF4h3mcCWjXduWdHYVtPQ154S7B4whF55CqKaMANeTWfqKOzwZfi7MdFVsxlNPFcpnI93uV6OitETm909M4jAkiQd6gqvJtLzZveNYrTRuX7Mo7ATqmExJhvebc06o8xyupg3vG8WZbk50ZWza8+JF19nm2j+amavzvPkS0fU6Bc4PnUUd05v/lSn3N+65K5vjou7YG0HrK+5XyO3mXj0vvL0iKuvaAeSj97bur59IfhgCtlvZ163mbX/YnINOtjxAcCgUAg0OMI8N+3yBPOCRO5Qe5ktPwE/xwIxKycBDILV85bP9ImW/Roy2ik7V3jssqdwwZihEgZRxpqwhitrLhWgn0EyFTulyOhj/CAYCBGFlUCRa6PJtYCVNcq5vT6kUBGi0bbKM2CRMB0LljgCayt1qdMVwMCBm/31agOwpV0wmI9nSDOUo20EBKlEx4txCw96hbXHwIXFoJ7s/vUR+OEUEWoIEiJ685Aow4fdXofjCtjllAijvVSuwQiR3ECN2t7d5RBtjwP8TlIt/fDc2CtrKfnfAQc7lnuj2Uqx9ePCJPnypOhntbd1wR27tfeVRrpRuNMm/rsvuyjcV0N4uFD0EcCpRGk4UnRYJxyU0MOpQlcCW2G9i667kpAQlllYIooEXyr9UhHdKQjTvX0at7qOfc6c1rW7EszRxgr5tJGGMjTH4J+61+z94yFLb8D+ov8mDutFa7rQV1Cs3FRzz+i194RXxHk+dToHdF373FuxzNmMZQ/u5TlNETCvlBeQDmOYs89S8tx+WhNEFp571jLYV23qOqPz6gbayNitQsik59KHAOBkRKB6HR3IMDKgFxwLTWx0qgiHtxlLNQmWprjHEzgXGJoqmn6CTVISlVjyqefIMcthFUGIcp9JcBZPAkMSAyNnwWDa0DO08qRsGhRyv1ypCknVLAw6CcB1IZqGmXEilsWQdm+PG0QbixGXNRcc+GlVSasEbTsY0TYaJulIzQsPdxs1EcgU589NdK7EgiIsCckq1MdFmAkUL2EIouedizAhDrp3Mzq6RZ0rnbqIOTSOtKqunbOPYr7B6HQnkn3yV1Ieg6sbOIJArk/Oa2zR/eETBJUWVpyec+dRl9fCCQ53pF7tvHoPAdugQiqsUrIZWlDINyPY87XmSNM3af6PNNqWZp27lSei3gWPdY/+0vl516I0MO7KIqE3HIz4WYIW+nGo7JCTkfW4WB/TzWdCxJCaazKDwMuY5QA3hPvpH0IhCLpORgTiFG+7urReIKBfiIW9Xq4f+ufI5c+5Eke/aVQ4HJj3Hi/zBu0895FeVhL4STNtWduPBAq4c/64T0l+Eu3RxXO7k2/nCMHxgk3KoYAABAASURBVK/0zgYup6wuFDIUH8ZMtQ7prDbeJ+ksQTndhn6COdcp92duYAF238aGZ+Q9NR8qQxC2l4ml0P15bpQqCKD0vgqeq357FggKy4NPTLs2j+sXNzJzPSuga8/MPXuW3mNWMS5/3gvKIZZH5eGgPlZ6JJW7nfI9GVgi9YslzXvp2cGapYRyxpzqmRuz+uFafiS5UX7WGPfFsm6cet7cW61N1hnzjmdvnWClkYaciFM/RRaSZ21zXQ3KmLu4JOZ4uHIXtU6y0ub+ww/OOV8rxyAyraAUeQKBQGCURYC/r8Wa0GoSN6EKCEgzUzfyQBueQSmKIiEOyojj8sNvnEBt4bMgFsVXvvTSTegWS9ppvv0EIeZ1pEj6iAQEKQsV6mHOJ3gRAAlfBBY+8wRK6UVRJP3MggbCpV8WJV9M4hOOZMkrcCfiumYBUh8BlxBXdceTr9VAMFTWYomw2PtBaGBx0C6hmGCEsCBTFmra/EbptN05XftFUSQEkzuQa9pu9a+44oqJWwwB0bMmqEkXEAaCnjYs+PYTEoKkdTYQCBAS9+OZ6xuBNNdDc2//YZUsITiECi5yOZ8joZ+21wdz4IUcEcy6KjQhEwic/Zg0riyMhCJtCdyPsquTa2PYRx+QCkQSeTI+8nvA0keo1T+4IjlF8b8xLx05Mf4apROKaLpZywhRhG4kRp2ekUB4ru4BcA/Gjbr1cUSCe7NxHaknnHk/c3001YQuAr53ibBbFF/dm3fNO+zevFPq4ILkM7ZF8VWeoiiS5+++1UnBYK4h9FNemC+UMaal+yiQd4oyxRykTjh4TtI7E4w/7w5hHdF0D55driOn05Y3Si+KInne+oCYId/mNITV8+eihoQWRZGMSXOL98X9eWaCsl0lYbmfI3pkcWXlZGXQdwIzVyx7pIviq+ekDfMlxZRz1kaYUNawGFBMmT88b+OOUsUYzfUZh/Aoiv/Vp57uDhQJ5mD74xAMijI4CwiCucJaYm5wP4iH/Mafj9BU8yM48hdFkcyzFFTuAQa+Rul567/x4V2n1DK2zWMUC8a/dO6E3k0WPXiJywGxgk2+1h/znr7rU7U/1mG457ytHEdrJVPkCQQCgUBgVEUAKTHJ00pWA394Qn2j++YjT/DLaRY3wjIBR5zFj6BPm0WAEFcPhGcTuHYsGIT0ep6uXFuAfE2qWhb54Eft/mjSLEQ5ncaO1SULGhYuG1tpyQhShLiq4KOc+lgz1Ac7pEB8VwIttPbUJRCECLXq4ramv+IRPQstAUKagEi1l85Vh5ay+hyVt3+IAMIqgCxV74/FiUCvTQHJJQRpr7OB4JlxUheiS1BWj+dPWOc2ROgQJ4jnLuK8GhBUGm71wJwgRrCs5unMOaEENuoTCBXwzHWw2NGks+6JQwJhk/EmxCBi0gR1EP6NJ3nFVYN0AnCzdFjQ5ronpEn+emBZQ65yve7BGEUSclxXj6wk1fa4S+a6EFrWPZhnPHKaI+uVssax8UuAFJ8DAVP91b57h1gEWHGRuzzmcxlkitVNvfLluSWnt3pkcSW8s7Sa6+rlOkonuCJVxrKyMNAn85b7yvOGNOTXM5ZeDfCjHJCnLwMC4hnBw7uoT9Wx4100F/poRe6n+/Y+uh9CN8tCTkNAKQLMJepDEqvvcs7X3UfzFfJojdGvajCnac88Zy2wtngf3Vuj/J6//Dn4AIB7QpIoTDK5Nna4LrtXyh7jAHHJ5aTDDqnzXuZ4R2OiGqc/5hdrTLXvzrk3KtOZEESmM2hF3kAgEAgEGiBACOQiYnFpkNyvo1hqCBosK/26o13oHBchpIQlpAvFe7QIzSOBgDBF6OjRxkaCypEzVs2uCuz9+Ra5iNFYI4L9uZ+N+obAcfXxRcBG6aNSHEGacI2kj0r31Rv34uM1rOss+SzKvdFmbqOfE5nczTgGAoFAINB/EeBiwB0km9n7b0+H7xnXA1rGZpaj4UuMPDHcm9xbZ10VeuMOua4hMSxeNJS90WZ/boM2m0VoVCR1rJz2wNhv15+fQaO+sYp6h1gEG6WPSnFcrNwry9KodF+9cS8sLizfxktvtFdtI4hMFY04DwRGBQTiHnodAV/Lqroo9HoHRqBB/eazPwJV9Nui3CLcW1H0rM96VwDgHmLcOHal/KhWhvveqErokLPecDnqiTHh/TFH9ETd/a1Oz8j99rd+jQz98e6az4qi9+faIDIjwwiJPgYCgUAgEAj0KAJReSAQCAQCgcDIh0AQmZHvmUWPA4FAIBAIBAKBQCAQ6GsEov1AoM8RCCLT548gOhAIBAKBQCAQCAQCgUAgEAgEAp1FoEtExjfCfe/dt6LrwfeifTO/sx1pOX9kDAQCgUAgEAgEAoFAIBAIBAKBbzwCXSIyfv3WN7P9UJpvofvaiB9T8+NafmDIp+t8rq+/o+tb2f29j9G/QKA7EIg6AoFAIBAIBAKBQCAQGNUQ6BKRmXbaaZMfgPOpRID4tOV+++2X/LKtT3ged9xxyQ8lsdxI74/B7z74oaD+2LfoUyAQCAQCgUCfIxAdCAQCgUAgEOjnCHSJyDS7pymmmCL5Jr50Pyz08ccfO+13gSXGj78999xz/a5v0aFAIBAIBAKBQCAQCARGTgSi14FA7yLQrUTm3//+d3rmmWeS7+JPM800yTe5P/vss3TxxReXBGf66adPq622Wnr77bfLu1x00UVTURRp/PHHT6eddlraaKONku+t/+53v0usOcqNM844aeqpp06zzjpreuqpp8pyH330Ubr00kuTH2iaYYYZ0rrrrpvef//9Mm2hhRYq65x44onT0UcfnbRZFEU68cQT0xdffJGeffbZNHjw4PT444+nV155JQ0cODAde+yxCemyv8cPqE033XTJ97D32WefpC0Vv/POO4kFR7wfTfJjZkVRlPUff/zxsqTnn38+sVKxSvmhM22VCfEnEAgERgkEPvzww/Tiiy+W80UrN5Tzf/LJJ8NlN2dxwRXeeuut4dK7M0I/zM3m0FdffTV9+umn7VbfUf7PP/88vfbaa+npp58u8Wh0f+020AOJ5nc4mnft3WzWRM5nvpf3gw8+aJY1vfvuu4krtTJNM7WT8OWXX5Z1eMbaU5+4ZkWkydMsv/X0H//4R7kWwv71119PnkWz+noz/r333ktwr4e8Z7aj9EZ9dW/KwaMr6Y3K9FScfnrH3D9ZgEzRrC1yhXz18Oabbw5XxPgkq3jejdKHKzACEca5tv71r391WMsbb7zR9rzNK+azaiEy3EsvvVTKctX4vj43prw38HzhhRdamsvNb947cmC1/97HRvvFvevVfP3p3P2bY6wD+l/vm+doHHvn3K85qZqno/RqXuf5vVCfduv1dZSujo5CtxAZgJxzzjlpl112SU8++WRaZZVV0tZbb50I+6wf2267bRo0aFC6/fbb06233prspzHIneugQXLDDTekVVddNSEgiM7ZZ5+dNtxww7T++uun888/PwH84IMPLsmIvNttt11abrnl0i233JIefPDBhExYnE8++WRVli8P0nHVVVeV1yeddFJJdpCmTTbZpIxDWh599NG0zTbbpHvuuSfNPffcJdG64oorkr0/Q4YMSXfccUfSP+RK+4jS/fffnxZeeOGyjs022yxttdVWycS1xBJLlCTtmmuuKcmUvudJvMwcfwKBQGCkRcDiZ2/gsssuWypEOroRgr55cZlllkl1669FkXKFS655bvPNNy8VKx3V2ZV0Qsmhhx5aznNrrrlmWmONNdKZZ57ZtCr5DznkkHIOl18466yzhsl/3XXXpV133TUddthhaffdd0+nnnrqMOm9fUFovPDCC8s1yLx9zDHHNO3Cfffdl/bYY4+y7/IeddRRCXGrFzB37zNUmbXnnnuW60nqwj9EyXoHf8f999+/JH7NqiIUyVfNTxiUnwBivePW7f6OPPLItPfeeyf3UxcO5O/twLV8rbXWStZXYYMNNkjelQceeKDsirW5Ubr1u8xQ+2PNJxDCbK655qqlplImIIx6h+zNHS5DL0Z4Zyg6yQhc640r7vWNxpVuXXbZZaWsAacczBNkHekCUoHo7LvvvskYNC4yltJ7IsBz9dVXT6effnq71RuLO++8c1pqqaXK4Dnray6EcLmX5ZdfPj3xxBM5ul8cvUP6bu6Cq3m4vY4Rvm+66aa0zjrrpHPPPXeYrI899lipgM/P0NE9U64Pk7GfXCDQnoc5hNxL8VPt2ssvv5yMXfOPsWz+y/OPfNKVzenGpjhpjYKy9foQ5ZxXerU+7VXTc76Ojt1CZFheJpxwwrToUAuLwWuSnX322cu2LS40Wq65nrGwIAIW8jLD0D9FUSQvsWDhR2gQEJOACWq22WYriQrCkAmQm1188cWTX2GdfPLJ07XXXjvMYjTuuOOWhGpo9eV/ZMvEiCghWGVk5Y+F0GKA2KjTPUnWjodvwCJKrDXIkPuQfvvttzukq6++OmljyimnTPorHYkzaMoM8ScQ6F8IRG86iYA5gXLEIk3I6Kj4GGOMUVp2LRb1/IQ3yh2LKQHl3nvvTWeccUZHVXYp/cYbb0zmXm1R6Ew66aSlddnc1qhCiiJKnsMPP7y0ZJsz99prrzaiRdh2rf9IAKWVvBb7RvX1dJz5+aCDDkrIlzWB4EuYbNQuMnrEEUckHgOOBJnbbrstXXTRRcNlJ/AQ7KwNwyW2EGH9QgARogMPPDBZ/J0jfZRj9Spyfhp4Y8L98HLI+WkuL7nkkrTgggsmayyPA/tVL7/88lLZVq+vN6+9E2QABJl3heA5LLLIIqVHBe39RBNNVBJoaYJ0Y4gHQ6O+FkVRemvQCsOknqcoijTBBBOUFi/Y1dN785r3CKGMwtPYI5xdcMEFiRa63g/3g/gYG3DIYeDAgalK2CiFCdzkDopbz5uMVK+vu64pkO+8886297y9esk25BzymuBeyGq5zOijj57IQMZFfe7Lefri+MJQC8w+Q5UTCyywQDJ3bb/99qUShvzYrD//93//V3r/kO88i5zPvGBuV19+ho4U4ryLcr7+dCyKInlPzUPmlmrfzKMnnHBCooDL84/3zrwln3QGA3NoTmedMU9Jr4ec37uf85vDcn7p3hVjRLp3B2nM6fX62rserb3EVtMsjBg5Td+KK66YEItc1l4Z5zvssEMZbzB4ib3M4gUCAnC5pLF0fPe73y0nJ2mCF2KxxRZL88wzT2kGzAvwFltsUbqceaksrtVBplxnggWQ1tTi5l4efvjhtuJIkQkEwUHCPEgvvQwbb7yxQzlhIUosO5NNNllJbCQ0msjERwgEAoGRCwGCGAF4zDHHbKnj8g8YMKBUttQLcD214Jk7zXnjjTdeacWt5xvRawuRftCycs/l+mouJlxYsOr1y2/+zfnnnXfeJD8NbM5PmKacWm+99UpX4Pnmmy+Z87uyANXb78o1TT+SZpFde+21S8HZWtKoLvM3rba+U2hxE55ppplKElTNzxJblwimAAAQAElEQVTA6mTer8an1PqVBZwLNAUfMijAitAL53pN1hX5rXWeQc6PZBHUrW/qtA65P0TZulkURY+MnXr/2rs2xmA6xxxzJHgK1kNrN1Lsfurp7ienN6qbAKns5EMVlV1Jb1Smp+LIJATbscYaq2wCwfTOeE5lROUPRSjNPdICJ0E5MgVykLMiL+4d2Z5zzjlLUpfTuvtIiYvEkHUoY9urnwBMecE6gejrG3JNjsvljMtpppmmVOTkuP5w5C3De+YXv/hFOXchX1NNNVVi1WvWP5j4oJVjNY/3z7steIaC+RwBtYWimre/nJs7bNWg2Kr3ifX45ptvLg0A3mfB2sQ4YXyTsaUzNEgTKCpyer0+7mn1/OozbtSX02GlLnOE+ng94An1+tq77hYi014DHrZ0pnydN3kxhVdfWOnVYFE3wYmrmitdF0WRsH3ntB7YHO2WfMAQ31EwQdYnGAvL4MGDE7OgvpqQcz1FUZRuGbSOWKSBayFH0rjRyZfv054dpjb5LD4euvQIgUAgEAhkBCwozs0TlB/2+/3yl78U1a2BsI40EZ5UXBRFqZEzxxI2xFVDo/zmVYu4/CzirNYW7Sy4mEtZqi3gmexU6+zJc4IUjTDiReijOLIIImr1dgnW8rt3ezGlF0WRCMsWadpacdYpLhM0hHleF9/Z8OKLL5buzISbXBaWtI6IUo7LR+3TlOb8RVEk+Sn93BfrA2Jp3aPtZ+23DtH+jkg/c/sjcrSm1vvAi2HppZcuiXyjdPtUuSbld2FE2u/rskiafSLcLY0xWnoeJDxR6n3zvoxZU4YQBrkjZbmHuxNBz09bUPx6/sZNva7uuibLkMvIM55Ve/USeMk5xqr7JeM0Gs/D1NEPLsy1xhzlUnXucm3uqnoJtdLdoiiSMV8URVv2Rx55pJQhKbPbIkeSExZFz7Yqm+e5yNholJ7vU3r9Ns1/jAPVd8AcLR+FkvkOqaymt1efcs3CaM0SuiuehkxdtFsGPuHep49pH8Q3CjRRrC8GCe2VF9oCShPoRTeZW4i4rSEyzHuYn4HaqL56nDqUp1nQH4uYiUMdFuuZZ545SauWe+ihh0pfcMJGDvbPCPKZkE1O+uL+xPGD9TCdRwgEAoFAoIqAuWfIkCHlngKWAQJLNb0nzmmJzVkEf+Sjozbk5z671lprJfnNi0KjcsgDV4NGaT0VRwCxWPqoC02e/Tr2JuY5uNouJZr1ohpXPYc/0mCPpL0nCE81vbPnFFrNylgn6mkd5Sfw0ySz2NibyS3GOklbXK+rr6+NkbvvvjvReDfqi3QEvll6ozL9Oc77a08BjT8yQNmaZZ+O+m0e4JKEtOS83MgoHygGnCNKFKxIes7TXUcCJZdAllcyTEf1coEjl3GPpdzVJxaa3n73O+pnPR3OXJvq8a7NXc3SpLcSKErMrdzWWsnf3/Igys3kctZi6ebHRv2WXo/vKH976SzP9frau+4SkaEd8PliD03lFhPCPZbluhqYjWxktRja1GrjP5ZHA7nllluWWZEUbglVkJTZcccdkxfZpkFuZDJj0jafCsgFLQZhwELGPMsXOaWUDEovfv1aHSZPZMXC5T6YhJnbTD60cfwl5XF93nnnlZvVEDFEiZalGtwP1zYfAfBSWyj5ta41dOFHlnw0QJsRAoFAIBCoIkAzO8sss5T7A7kP+ViKOaaap7vPKVYolAjCrdQtP2v1pptu2kr2Xs1DcKCEQjgoknbaaafEx5tWz3qk353pEKJDs4gYWE86U7a38iKW+sdv3XO04Z9AyTWot/rQSjvXX399ItxnDWy9jPXUfTRLr+cfGa6t994T77T9bpSjvEU66jv5gYWDK5a8hEIeJlxPkXJyBbdJ+4bNE8aAfN0RCJNXXnll+cEiCuTO1Om9I5sdcMAB5YecGsl/nalvZM9LVvVOhszX+0+yS0TGC2ezp0nfw2Ou88WS/Bsy1dtg/bDvRD6+zLQWfEPl4ZconiYKw6eBEC/w4WNCl2Yzo4l75ZVXllRuvLLZEenwdTNuAPy/i6JIXnp10jIgMbntfK0CE6wNsPJ5CZEa5lFmLiZSmgkLIk0Dfz75ER7uFcpXA20gEzpNhv0yzJMsOzaS+apaNW+cBwL9G4HoXW8iYM4gqJinfPHIpnPzXU/1AUkyZxP6KW46aoeCSX7uQTk/ZZHQqCzFT28KpkVRlK4d3OH4ubPga597sLWBJb/aT/2rrjHVNOfqseZQQnE3Uxdyad+KPQ/WOflaDe0Jhuqr19NRfkKSjzUgWdYaWnSWDWsvZVy9vr68tl7bL9usDx2lNyvXX+N9GALJYCVDYig2bWTmatRRn8kYnmfOx/LmfJJJJildC41rilX7qyiNO0vQ1dUsIJRcKOeff/5kvAsICZnKPEGeaVZWPDc0cg73oKoiWlp/C3BFNhv1y31QrjdKazWO7GiO4dXTapn+lM/810jG1UdzDlm+vXT5qkF+oRqXz3N9zdJZ/3PeVo6jtZKpnodVxMYcmq9qMFDqeV1b+HI+k7VBI955jnekoRSfg/rEC17qajrQWXak8SM2gJSr1ulckEdwLk9RFIm/cY5Tr3vK9VnsAOxau+pGbph+ab5yYKq04OWXw32pMwfltBchEAgEAoFGCBRFUW6IJXwXRVH+BlfqgX80w3fddVfZFqGjKP7n192oOYIx1yBzN5/povgqv4WMawmNMWKkLEsG6zgFFS2tuN4I5lsbkwnzQm5Tn4V6X8zxFF4EruwGQ7ttT4N7RC5Y0wl2FFwCYRxeCI71ILcxzLHJBQWYtcE+lrxmIFjWK4q6ejH7jsYcc8zyd2uq+a1bhCzuaNyxrE/uXX5eBxRunkG9vr66NjY8j0GDBjXsAmEcKWuW3rBQP49kGSPAen5kB65iLE68V9rrun0HLDBZSSsv2YSgR0man2tRFMm7J3SnXIEg+WKUsZ4DpQVZhxeMe9Gn9oJ3yPvG5b+9fH2dRmY0d9kHQkmjP6y6FNFcNOEuritBPfasUYp7P7tSR1+XsVeIZbBKvlm8EWnzpnTjsvohLOM7z6v1/jN4NMqf62uWTu7XXr2+9q67RGTaq3BUTCMEWOi40rHU5OBLOXzNR+TLNqMiXnFPgcCoiADhkvLCfFDXinIP8ZlcVt58783yIwAs0MpYULnBshCvsMIKiWCey3fXkb8xrT2yYfGwWV+gRdYGwVM6q7XrnN+CZfGSV8j5ufMSrAlr8PDZZcTHBmflezP4Cpu5WV8Ix0gKwmZ/AmJCyPcxAMKzftE8E7j8Tgbs3aP7JsQRdLhC047nwN/dYswtmrZaHa0G+fXDs+XCw9rmmXM/IiDqr3GAMBIGYcoa5PPXxgQhN+fXN6QIOfOpbmUJue7X54sRm1b71dP5/BQBD4Zm7TRLF89CYEzlsgRE9+q6/s6Jk440OW+ULr43AmuJd4SQbL+FZ+eZZfLLS8OG/voeBNaPRoSOZwkPEV8SMzaMX4SYddQ46K57QrZYhfN4d6SI9Y6stNJKyXjzlT9uctk64zlxv/ecYM9jhkcLq2i1X9LNC82eSzVvb50jjLT9+Td+WMG9a5QX+kAwN5cgka5zMGfn+/E8cnw+uk9lEKIc15+PxqF3xxyS+0nxQpZlWZTueZtLbaWgeJHui7453dxq7vJ7NNLhaCwY6+qkaFGfD5OoT371cfs11yF91XRKHvXZriFdHa2GIDItIEXL4mEde+yxpamXRk3A7plgacxaqCayBAKBwEiMAKGTsG5vHZcj+wDy7RCWhwwZkri65jgTvvnBJE7TT0CVVhRFsqF8o402Kn9MjUKEwECYpo2Sp7sCQdf+Q65r9vsNHjw4Df460O5rB0Hxmx7a11eLus3uXF5yXkdCtfwDBgwoP1ds3yMhyELFYsFyIb03A4u4z9NaBP1gHQGaZtzXlPSDAEjj7Hm5ZmH3LJAKhIwLMCHMZ0Gld2egpYaPtYKAqE80npRftOqw9mx8oICwJz/CRDNsU/9uu+2WCJo5v3oIFQRmm7/tT0DElLFGdWffu1oXSxfNNIGnUR3SuehxR6qnE949S1//kob8cUUnHCEHBCCkW5pgbEv3LuX0XFZ6bwZ7zuxp8clkZNT7wKqBOOsHV3jvFFLrWiAc6y85wnU1+NKgOskc6kMkPG8ua9V8vXFuHjO32RqgPeTL56ONaa6ONOw2+0vLwYeObD9gRYSFjyDktL48IlvmOi6z3k2/f8PbJn+llrJauvky99M8Z662X1B+IaflI9JJMYIk5bj+eKRoI8t6Z8yN7tV6pq/WHlY48ztlCzdJZMRcVE1nsZNurrUfDDbSEW2WSfOZ+Vh99sFTtOT8LC05f073TKR7DtKtNerrTPgGEZnOwNI4Lw2Fjwzk0GgyblwyYgOBQGBkR4A21H4JQrAvJlaFX8Iy7Z6FO98nbZMFXX7CfhZCTOA271ogfZHIBE5YpQnNZbvryM2BcEgARKSqweZ47RBIWGto4AjRzfL7+Ir8AiGNEMM6jQwQtsT3dmCJoAUlKBK07L1wXzSE+uJ3CQgntI+uBS5w8us7/H1YphkRIDx6Vl3VgrOAIb80wNpEonLfkDAWCO49WcsrP/JbzZ+1k8iP+5FGsIW7vO6fe7R76+vA0kT4zn2u90c6PFmr6mm+SkqgIeBLQ+4JyIROAhiCzTomTTC26+l9JUhSZhIKWfo8Z8oJgjJXMH21n8kzo7V2LZgHCIOeqetqQA4IkCyl8LSf2BzRbJxWy47oed78n+sh1HM3YqkVR1B1bfx5XuQg/ZWWg/kBAWKZ8lwXXXTRnNTnR33Jc5f3n1Igd4pygwWKIJ7jvF+eA8utryGy2ua0fGSt8Mw90xzXH48UOUip+d4nt+3PNOfnvpqTjGNzo/eU8qX6Lkun8MrpFEQ53btpvfNVRQoLdfIw0EY1f/Xd7yhdHa2EIDKtoBR5AoFvKgJx320IEMKQjRyqwi2NsMXBnopcoL38BBz1cD2xkPAzzuW680jAVb+26oEFQFv6ztpCGyc/i0Y9r+ucX5miKMof6Mv9RyjE90UoiiJlrAmUdWGP5hFZy30riv/lZ+VoD3v3TGAuiq/2COU6Wj0WRVH+8B6cct+K4n91IbnckvJYKor283s+BHzPQ53GkbhW+9PT+fSlPbzaS2eBsfeWS6B+ylsdu/CrCswdpaujN4NxR1D0bIwrxDO3j6j6oilXxRxXFF+Nw2bjT7x61AfT3nrHtJnHo76aHygD1lhjDZfJO6FPxp+xWL3PMsPQP9zq5MmhWt/Q5D79XxRF6TKn/8ZXtf/ulcWJNSJ3Mt9vvhfvXE7LR88KFvm6vx6NIe9Rvhfvm7hqf90vbOQzpqtpzpulc6VGdr0DLDXyCs3ySxM6SpenoxBEpiOEIj0QCAQCgQ4QYPHgWpVdSTrI3q+SuUzQjPngQL/qWDd0hvBooeQb3w3VtVxFKxm5otj/wY2ov2tyW7mfEc1D483KmTW8I1pffypP42YO2QAAEABJREFUycH1jOtMf+pXK33xNS6fFG5kOWql/MiUhyWGxaA/zhf9HUdWGG5qrKS93dcOiYzNihHWToFBYBBjIMZAszHAnYQLUbP0/hzPlcBeg/7cx672jSuXvRdcxLpaR0+V45bDbYglrKfaGJnq5e7D1Wpk6nOrfeVy5gtzrebvT/n8hIU5ohf61OdyFrcrLozfhHvt7nu098Y6yCWyu+uu1sfqUydKHRIZgzjCESkwCAxiDMQYiDEQYyDGQIyBGAMxBmIM9M0Y4A7XaSLDzDbKhsknT3FvgUGMgRgDMQZiDMQYiDEQYyDGQIyB/j0G6nt6kJoOLTIyRQgEAoFAICMQx0AgEAgEAoFAIBAIBPoDAkFk+sNTiD4EAoFAIBAIjMoIxL0FAoFAIBAI9AACQWR6ANSoMhAIBAKBQCAQCAQCgUBgRBCIsoFAxwgEkekYo8gRCAQCgUAgEAgEAoFAIBAIBAL9DIEgMrUHEpeBQCAQCAQCgUAgEAgEAoFAIND/EQgi0/+fUfQwEOjvCET/AoFAIBAIBAKBQCAQ6HUEepzIfPbZZ+nEE09MBx10UPr44497/QajwRFD4JNPPkmHHXZYOvroo9Pnn38+YpU1KG18nH/++enxxx9vkNpxlPL3339/WmONNdK99947XIF///vf6ayzzkp+pOmLL74YLr0rEXfddVe64447ulI0ygQCgUAg8DUCcQgEAoFAIBAYUQS6RGQIcvPNN1/61re+lSaeeOI000wzpRlmmCEttthiafPNN0+33377MKTl29/+dhJSN/975ZVXurnGxtV9+umn6d13301ffvll4wyjWOz777+f/vvf/7bdlWcnFEXRFtcdJ4jRGWeckf785z+nqaaaKi299NJpmmmmKceTHz0aZ5xxyvPpppsuGW9IS73df/3rX+n3v/99uvrqq4cZcznfs88+m/bYY4/0xBNP5KiWj2+//Xbabrvtyj6tvvrqybXCxvsJJ5yQjj322GRsiIsQCAQCgUAgEAgEAj2MQFRfIkAx+9hjj6UNNtggTTLJJOmHP/xhOu644xLlbZmhwZ8PPvigzDP//POnueeeO/3ud78rZdtqVvIY2SuHFVdcsS1ZeXJPLn/IIYek9957ry29ekJe/utf/5q23HLLkh/8+Mc/Ls9feumlarZSNsttOa600krDpLdy0SUis+CCC6ZrrrkmTTbZZGmXXXZJTz/9dHr44YdLzf1HH31UdvbKK68sNfijjz56Gjx4cPrVr37VrWSGoL3yyiu3co8jnMfDOO2005J7G+HK+nkFmVz86U9/Kns6xhhjpG222aYkqKON1qXhUtbT6A9Lyn333Zd23nnnNOGEEyZt3XnnneV4QoiNM2PrwQcfTLPOOmujKsoxuOmmm6bvf//7DdMHDhxY9r1hYjuRH374YUmOjO+77747/ec//ymtioog7yxU4m+44QZREQKBQCAQCAQCgUAgEOgVBP75z3+myy67LC200ELpzDPPTD//+c/TkCFDUjOZhNL19NNPT5dffnk699xz08UXX5zIX6ecckpbf8m4f/jDH9KBBx7YFvbdd98yXflTTz01XXHFFWX5iy66KN1zzz1JXJmh9odCnCfWtNNOmxAuBpBxxx235Ak5q/bOPvvstra0m9vLeVo5dlkynWiiiZJf2JxgggnKdnRwjjnmSIceemgiPHJHevfdd8u07v4D0PPOOy899dRT3V31cPV9+OGH5WB55plnhksbFSPcpwGKKPbk/amfpWTddddN448/ftnU3nvvnaaccsryvPoHydl+++3L8VaN78nzoihKCxGCNMUUU5REaeqpp25rkgbES3r88ccnVqG2hDgJBAKBQCAQCAQCgUCgBxEgXy+66KKl2/wyyyyTdttttzTXXHMlit9Gzb788svpkksuSWuuuWYaMGBAIs/87Gc/S2SYt956qyxy6623pmuvvTbxfuEhs+222yaWFIksKcqvtdZaZXl1KM9Ck8vLlwPlL7I1yyyzpLHHHjvhCDPOOGN65513cpb0xz/+MV133XWl0cM9aG/22WdvS2/1pMtEplkDtNXLLbdcSTLse2CKOuKII0qm6MaefPLJtPHGG5fuQDruXF033XRTWnzxxUtw3czrr78uOnlYrDlc15ZYYon097//Pcn7m9/8Jql7+umnb8gIuZ3tsMMOpWC80korlf1RIRKExXrgBFTCNLClaYsZjIscxoqtXnjhhem3v/1tyXgxy0YuSuIMDkK4vRivvfaa6spw5JFHltYEgwEOIpn+zjnnnJLwPfDAA2nJJZcsB0smZgYcXAwAlpGbb765ZLE/+MEPyrzq2GijjVLuP+aL1RoAMMfQsXP3ZeD96Ec/Ktk69mvPC8ZuALKiLbLIIumnP/1pybKZKvVfm8yV7gkmBx98cNp///3Lwa1tz9BgJuQvv/zySX7xBvpOO+2UPBsmS3ioRx3Sq0Hb2DyrS47/yU9+kk+HO7oH9cDFfSPNud2c2f0uu+yyaeaZZ04nn3xyYtrMadXj888/X1pp1GPMsQxV052PNdZYpbnWs2J98QJusskmktqCiYDF8aGHHmqLi5OMQBwDgUAgEAgEAoFAoCcQIJNw8WJQUD95BrmwDcB1PZB7eLjMO++8bUnyk8vJuuTpRx99NHHH33PPPRP5nJxKZlbgueeeS7yTuPm7FqaZZppE/mwkQzF2cHcjz/NeIRc/8sgjaeutt1a0lN/Jgeolh2uPgQKJKjN04k+3E5miKFLe30DwtCmadQYABMvDDz88MV0R1rks5TyEWoL+SSedVJq7mMBo7bkdfe973ytNWFyP1llnnRJgYHhgiA3htnrPb775Zunyhgj85S9/KQXSo446qtz3cfvttydCPzKDuXoAu+66a8kSxX3nO99Jlw81vSEY+mYT+RZbbJFWXXXVBPDZZpstVf+9+OKLpZ/heuutV/r6eVDuAykg0CM5TGpYLxz222+/kjHT5iMdL7zwQjJYCOoIg7rt92DVUhYuBuCOO+5Y+kBm5osFE9gNIm2qj28jsmLzPDcwJAILRlwMVvdN2NcHzFv90tZee+3Svcv9nnHGGQk5tEH+ggsuSEgUMubePT/95RepbmRxgQUWSPrGdKhPfDRhusIKK5Sb7wn5WLf7qgb4IoyIQDW+vXMvl/vzTPl3IlPV/F4K/ZYP9tqupjt/4403kpeFtgEGXmSmzH/84x+ShwssjO4Xpvpcz8C9Un/q8XEdCAQCgUCnEYgCgUAgEAi0gADZyT71nJVMTfFKcZ/jqkeyIzKhXI4nJzonx5J9d99999KN/sYbb0wU97xkstxDrmZgqJcviiKRC9VTDZTBCIp6GCG23377ZL8NI4J82ttrr71KQnP99deXVh6yG7lcemfCaJ3J3GpeWn/BjSw61PRFyM9lCdEEZRu4CZMERII+wkPYRyZo27nu/O1vfytNT/ZAuGYZaWVfDAF9ggkmKE1oNg8hOqwemCtBd5555ik3l2OwBxxwQGJh0JZBQSBnWgM4tpn73exIeFbOg+ICRehl4SAwI08Efn0h8CNlSMtMM81UfmXLgLCJfNJJJy03tRtk2tFPDPbSSy9NLCfZUpFdsOQxCNTrnFVFPcq5N5YSR9fum2UEuVQ/KwILF7aMnI055phJWfgy8amvGpZaaqm0yiqrtEW5Xy+LwVgURbnRTD8QLmQKAWN9co/atYkfQWqr4OsTLwVi9PVlSwdtIl1eGmMLkaoWZI1xn8gnSw9SXE137oXl4ykgnJ6dPiOe0uvBi+ylZhE0jhHHah4TQbPNbtV8cR4IBAKBQCAQCAQC3Y/AN71Ge5spsnnjsNSMKB7q8UEjdVGAd7U+8jfjA1mTxxElMsJVr48MS/7HDcjo9fSOrkfrKENn05mhdJiQqlPNyrOmFEVRuisRBJEaGn1foBKQD59rRoiQAvUQkDFG5+0FlhzEhImKoMmURhhn0SHME15z+cknn7zcaK4tZIRQy3Ji01QjwHO5fCTUE9RZPMSpQ1v8AGGgTfECQmLA6Z/rZoGlAglgKUB+uGy5l2b5RzQeBshIXUhvVK/9IAgYXKUbqMgKs6TrngywZVG75ZZb2v1aGMxZ8Vhv6v0Rx4piU5lxJnCbg3c9r2tkkOWL9RAJQsDERwgEAoFAIBAIBAKBQKCvEeCZxKuEot9+lEb9obSmAG6URl6qx/NWQUDIn9LaK88oIE81kLWyiz+lMnmWlwyFdzVfPme50R45K8e1eux2IgNQ7kmDBw8u96d01BFC8XjjjVd+JMCXzuQnLNKYF0WRmLK49xCgpXF1YjVx3iwQZPVjyJAhpf+efL7MQFBnNeGK5Vw84qUPBHkWia222ipxqQKqvRHyDB/+F2NgEKxZlpANhIaZDFkpiqLcyJRzuwcEjvUjxzU6IlssD+rlHmfzPcLE/axR/hGNe/XVV8tPCyN8HdXFkoOoemnkdc9IDCtQUbT+eWZWKARQHa0G1iEvjC+aLbzwwqkoGreHGBsjCGG9bi8j1zfs3+eU9d8X+PiF1vNWr40p1iyhGq8+Y6caF+eBQCAQCAQCgUAgEAj0NAJkWfIMLyJyVbP2yE7kl6qsQ/ajxGckqJejrCar2kcsjYxnnzbZ2rXAK0Z5+7NdVwNC4stovJGQK3vnf/3rX5dbN6r58nm9vRzfyrFLRManabk+Edbt82D98GOE2Bf3Hq5h3JcIeUC2LwM5IcgDjgDrmnWCdcR+CiYsm8vdDDce/nxzzjln8lUrJAGgLAc+9SZdGnC4pdnnUb1Z+yeYxpAX7lg08MDXlt8FIYjbg2PjE1cvAjytO4EcayQIY6MsDdpAJlhYuE9xgau25SEp7zO96veZYJjYS8MVzoNERAjP+sO1riiKBAfuTMyB8MB6xXn4XN18To+gDRfkQd1c3QwaVglEz4C86qqryh8cVVZ9yuqrexPHDYtlSZy6s3XLPWDJ8sMAMdB3Qrn7tS+Hm5y+KYNQ6o/7hZW9MHCEPXLIlSs/ZyQHhr6AlvsAW23mwP3OxjL3k+McEQv3BRdl9cM4k6Yv9uqIQ0ZZvBAWaZ4XVzz+nO6LZY1bHwKonjz2bD4zzuzV4oaGRHNndN/qycF9GXPMnNzpWAs9E6Q353HUF3g5j9ABApEcCAQCgUAgEAgEAiOMAHmPfEdOI2/zHiGjUYTzZJJu/648GqMI58JFZiR3kePJS1zmKe7JWeRQMpP86iLL2oTvmkxLTqyWJ9eSs5RnFCBral9+yl8cgIxGrhNHhieTO8/tUf6T5cho2kN4pHcmdInIAIYgzYyl81yxEAOCLGbIXQd70xHCs5uxJ4bgettttyVkB5PLwi2A1OErY74aRkhmYvJgbID3BSwb7rlZ2deAXNgvwXqCQNkPoq0cCKUeLtJAe28z//bbb59YT5CcY445Jumruuzl8KUtRMGD1obN/kVRlF9aU6eHh7EC2rm4HDwYm+FtWtpss83KMo7qc3TS2CUAABAASURBVC/clvQRmdEHbmdIlU343OcI0cxt7tUXKAjOLA8wQtqQCH3iwmXvh0HD4sMUqB33Qjg3OHxVS9/VBwP1+f0bZI+wrQ1Wntx3DJ2AzkrkRdBn5dZff/3k+ay22mrJs0akuF6p1/0yDWrTfcvnuSF97gV7h7N46fqABKknt+uIaHipWNhc52BQs5C4P2WREnVJZ+nzQiDRNvq7f0TZVzTk0zdkAznB/JFiL5WXxF4jRAdOxoO9Ucrvs88+yWcLkRpt5IAoGzu+jAZvY0R/c7ojwuVobDhGCAQCgUCguxGI+gKBQCAQqCJApiFPk/nIQz64ZC+5QC5mCCBLcaEn7yhLbiZHMyKQt8nVCI0PZ0lnkNhwww3LD2XxSuIhRQbLW0SUVzd5TnmyOXmM273ylMxIkUBxTibkWUSO5VWFF5CD7TuWn7KdPMsI4OvACBIZCymS3pnQJSJDKAbCiSeeWFoD8lEHCeGE9NwJxCGn+5oCody1GyNw5nyICWCQGFYYArU0pjKEAEHysAir4gnXSAIBk0VAXDXIR8AGnqNr6YR1D4cwrh8EYiRBmg8TuDfCLUHYp6TFE9oJvoiE62ogLLNQ+NqC+rjU5b7Lh7h46IgVIV8cId79y68d8c4F18x/Pp+sDEyZ85Szwd+gZOlB3gwq1iz9zvXph70k6hJYmAwm54JzdQmYrw1dVVyxaAQVPixALC3KCZmZi1dGnOfpWn1eCHECUuhZOhdcy5MDcgtT5IcWIMfDzuf6lBHcKwucdB8u0F8vI6ufc5Y3afpg/xRihoBkYqKsegTWOHkROKRSnP7nF1VaDqwxxpc2fHmjbjqlTVAWGTJGc7k4BgKBQCAQCAQCgUCfIjDKN05+RlyQGYr/HMjLZBzEgyxFRs5gkD3J7mRaMhT5cqaZZiqTyUFkX8p6MjEFsfOqF8rAgQMTuVR5yl7lnauAjO1a2wwFylGKk/PIsOQk11mOVk57ZDicgVxO3lROfZ0JXSIynWkg8vY/BGzCYknjqtWXvfMiGLwsZyxPfdmXzrRNo2Fy8IEKxL0zZSNvIBAIBAKBQCAQCAQCXUWgKIryZzK4yfsqWDXwPlEvQkDhzZjgOgfeUbxt7KmhNKeMl0ZRjrhQdvMIsq2B4l9aNTQrz9uFUp83FpKiDG8fRgr983Vc57lO7bHAaI+SXJmcpmxnQhCZzqDVXt6RJI2rn8/pYccsQX3ZbS8Q06IXij9mX/alM23bV6TPtCEmi86UjbyBQCAQCAQCgUAgEAiMSgjYi8wVn1dQb8tFHRIZew8inJRGFQxsYufuxjVM6Ov7sofHxwF8RKGv+9Jq+3xJ7flpNX/ka/7+BDaBTYyBGAMxBmIMxBgYuceAvc32kZ977rk9Ki/njxFUSWCHRIavXIRxUmAQGMQYiDEQYyDGQD8YA7EejRPjMMZhjIFv4hgoiuF/dqNDIsO3LcI6KTAIDGIMxBiIMRBjIMZAjIEYAyPjGIg+jwrjFnmrWmOcd0hkZIoQCAQCgUAgEAgEAoFAIBAIBAKBQH9CIIhMDz6NqDoQCAQCgUAgEAgEAoFAIBAIBHoGgSAyPYNr1BoIBAJdQyBKBQKBQCAQCAQCgUAg0BICQWRagikyBQKBQCAQCAQC/RWB6FcgEAgEAt9MBILIfDOfe9x1IBAIBAKBQCAQCAQC31wE4s5HCQRGKiLz8ccfp7/85S/plltuSe+++263PIB//vOf6dprr01+F6RbKuygki+++CI9//zz6eabb06ffvppmdvvqFxyySWp0fexywzxJxAIBAKBQCAQCAQCgUAgEAgEhkGgS0TmvffeS7/73e/Seuut1zQce+yx6aOPPhqmsRG98GM7F110UTrwwAMTAjKi9Sn/wAMPpF/96lfpwQcfdNnToSRMRx11VNpnn30SYqbB5557Lu2///7prbfechkhEAgEAoFAIBAIBAKBQCAQCAQ6QKBLRAZB+eSTT9JWW22VDj744LT00kuXFobtttuuvN50003To48+mj744IMOmk+JhQKJ+Nvf/tZh3skmmywNGDCgpXqbVfb555+n+++/Pz377LNllllmmSUVRVH2o4zo4T9TTTVVmmeeedJYY43V1pLrG264If3gBz9oi+vOE8/riiuuaLMAdWfdHdV19tlnd5Ql0gOBDhCI5EAgEAgEAoFAIBAYEQQYAMjp5NBll1023XPPPYlMnOt8++2301577ZWmnHLKNOOMM6Y99tgjvf/++zm5NCBsu+22Sfnlllsu/elPf2pXdt57771LuVZ91fDoo4+21ekEn+CVtOqqq5Yy/mOPPSa65dAlIvPll1+WPxA577zzpu9///tp4oknTv/3f/+XJp988vJ6kUUWSeuuu24ac8wxO+zI66+/nq688sr02WefdZhXG9/61rc6zNdeBg/ymmuuaRPqxxhjjLLv7ZXpzjT9H3vssdNoo/0Pen2YdNJJe6QfnpXB9sQTTyTn3Xkv7dWFoF5++eXpoYceai9bpAUCgUAgEAj0BAJRZyAQCAQCXyOAkFxwwQVpscUWS+edd14Z++tf/7rNE+i///1v6Skk35NPPlmSlDfeeCMdcsghZV6eWOeff35aYokl0rnnnlsSGOV5SpUZan9sofjPf/6Tdthhh/Sb3/ymDL/4xS/SuOOOmwYOHNiWG3nabLPNSk8rRpH77rsv/fjHP25Lb+Xkf9J0K7m/zoOwTDvttMMI418ntR0WXXTR9J3vfCcRnl999dV02WWXpVNPPTVdd9116c033yzz2RvCTeycc85J2BjLDHb49NNPl0Cdcsop6frrr0/vvPNOmb+VP9p75ZVX2tpTPrtsae+3v/1t+sMf/pAuvvji4YRs+29YEOxfqVqTtM9iov9IF/KlLx7yrbfeWj5wAvtpp52WXnvtNUnDBPekbu2eeeaZ6c9//nM5CGRC4P7617+mSy+9NGGl1Wt7Zq666qp00003JYOMK9pdd92VzjjjjHThhRcmuKpDsN9GvQboWWedlR5//PESe8z3oIMOKnE//fTT0zPPPCP7cEG/teUeYGYw50z64T7dv3ZZz/RTuj4bePp0+VDiYv+Sga0uFjsvhJfHMzBg4Qfjq6++OnWWdWsvQiAQCAQCgUAgEAgEAj2BwKhaJ5mNxWP55ZdPCy64YGJZISsjG+6ZnEs+lD7++OOniSaaKC288MKJvCdd+dVXXz2xxCy00ELpl7/8ZXr55Zebekh9+9vfLknM9ttvn3hpCawya621lurKoP3NN988kRltG9lkk00Sz6sysRN/ukRkOlF/eumll0qm9fe//720uiAnWJx4VgnEw5FVgrUCi5P+4osvlgDtuuuuJfFotU2b9pEV+04Af/LJJyfmLYBrR3tFUSQgjz766G3VPvzww4lAjgDsvPPOpascqwKBHgut1oehAl5f1a29u+++O+27777DEQV13H777SXTRXyUu/HGGxN2q3HkhIXIoPrwww/LfTOuDRLE4I9//GNCTPQD6UNM1ImwbLTRRgk5UA+GLB9CgyDY98MKk++ZNYuFzFH+akCkDjvssJJgckM7+uijk+eEgGn3hBNOSPoBMxhtvfXWyf3CEvmEsbye2QEHHFAOyvHGG69k+tpTriiKtPvuuyd7kuTVV6S22o84DwQCgUAgEAgEAoFAIBDoXgQQEy5hWSZEYBAV8VpiKeFhdfjhhycK6HfffTeRDVdbbTXJ6bvf/W7pcpbLU3DzvppgggnK9PqfKaaYosyf4xkHyKTLLLNMGUXWPO6440r3NjIn40iZ0IU/o3WhTKeK2END4CWoY2RMTPZrENYnmWSSkhkCCAtkTmJlAOAqq6ySttlmm4T5sTS02qiPEABaWe3tueeepXWG0Ky9BRZYIDnm9nK9U089dVpjjTUSEmPfjDYJ3AR1JGf99dcvWaV6CeEIxRxzzFH6FxoAa6+9dkmE7HfJdTpiuSeddFLywBEABGXllVcurSXSxx577NKHEAHJ1wYbEjbDDDOk/fbbL3nIiBRrx8Ybb5wGDx5cfqAAmWDNst9HG/roAwzMdIgS8jjddNOlH/7wh8lRH+uDhUWFxQSJ5A640VBy5L4eeeSR8t60wRqjXoGZEEnxMQd9ZGmy30falltumTbccMOElC461CKHxMw000xppZVWKl8CZOtnP/tZ2mCDDcr7qhLJFP8CgUAgEAgEAoFAIBAIBHoUAYpwsiNXr0xExhlnnLTjjjuWVpalllqqVMyTl8nK9c6Q5Sj4lWe9qac3uqb410aWQRkdKPnnn3/+dOSRR5b7brRFnm1Uvr240dpL7I40LlMEaVp5BGPAgAEJSHfccUfpLlVvA0PkZsYVibWDOxYiVM/X7JoLW7U9oBGeAYYBNiuHTHGFAzTTFquHvLfddlti8iLc2/yEyHhwiAeB3T0pixwp5z6Vy4EbHVaLpMmPMEwzzTSl2U6eoihSVaAviv9dIwH6M+GEE6Y777wzYbOzzz57uQkLocF4ESUWGGQKWdEf/UTAkEFttBdYdHz8wGDSd6SEVYX7l/7CTfv28KgHY1988cUT1zEYeF7MkaxUSCjTo2csbz34MhtrG/cy/WU1queJ60CgJQQiUyAQCAQCgUAgEAh0CgHKfYFsy0uGd5QKiqJI008/ffJVXTIpuZfCnteQ9ByU8UEACm7n3MNyWrMjGd6Wke9973vlHhn5tPvCCy8ksjXPK5yA8QCZsZVCnlZDjxMZ1hUmqNwhwjGhGFA5rnrE2uzpYH1guWBVqaZ3dM4S0ay9oig6Kj5cOosFS81TTz1Vuo0R2pEElqLhMjeIUB6ZycSoQZaWopCGWWedta0P+iEgNCrgslZ/+LCU1kpAHA22nNeeGdfc3RBA7ec0pC2bIw18bFo6q5tn54MKOW/16GsZvoLBGofEIKzV9DgPBAKBQCAQ6DkEouZAIBD4ZiNAUc3jhqcPEsJDCiJkOL+p6EtmvJB439g2wP1Leg62UiiP8CAjuXxOb3Qkm/JyYmTAAeTh2kZWX3PNNROlPAU/Q4E96PZpy9Nq6HEiM9dccyU3TVDWKe5IbmC22WYr96mIqwYWHO5K3KOUraa1cj7nnHOW7RHs5c/tsWRkAMW3Grh3sVjYzE+wR0iQGtaHVurIbTKXKdtKmUZ5EAaWHdaMnG4Q6hdLEALHVJjT5GXBydfNjiwwWDJTIeuOfPbFsADBjpudfUP2GEkTkFPPBhm1EYyFCkPn1ofkKStfPSAuP//5z9Ohhx6aWICYMet54joQCAQCgUAgEAgEAoF+gsAo1w3uZBT0vhLmI1hu0PH4449PLCK8cMjglNM+ACW9GnJ53lWtyMIIC+sLeTLXow7tZFldPA8qnkHkWdethhEmMoRdG4OwKF/XqjdMA2+fhX0lrBPMUW7cvgluVvamYHXKYn82BBHC5bPhHDMEALMTxuicOxRhut6W69122610wyLUy8+yY5P9CiusULpw+a0WdWjPvhJTYz3+AAAQAElEQVTCO6uDPjFrMaPJb0+Ke/OpOZ9LHjx4cPmjlYRwZZEHfSD0IxSsLtqvB0zT97pt1HcP2sJMbXq3gV5ZfdBX960P6nUtf65PP7BZg8s+Gxuydtlll7TkkksmJG3QoEGJ29YWW2yREArtcfsyKFhQcnu+1pbrdLTfZcUVVywtPTZh2fuCiXs2iAri4R64jrlHJFO/7aWRB8nD8OHADc6zUU7dyCpi40VAeOyhYY1B6DB05eWLEAgEAoFAIBAIBAKBQCDQOwgURVFu75h55pnLBsmc5G/yqAhbLXyqmazmuh5sYyDPVslJPU++ZuUhR/pqWY6zdUJZMmGOI2NSrtubk+NaOY4wkbFx21etmIWYnOyfqDZM0PbZX5aEH/3oR+Vnhn0AgFAun5sh6CMH8q6zzjpJXcxW2BnXMl/b4o5mU7q6WEa066bVUQ0YIgJE+w8kn/nl7sSyIp8+yOPLYdioLzIQvDFRQjxh25e5fOYYaUC01PfTn/40IUfctcSzQuivh8zy4Z64YGmjGhAFG/Z99g7J4ApmT40jgsE6hXSIs2Hel8oOPPDAcnM8iwULlfqk+2CBDft8GxETZMZDt9/kiCOOSPwMpbGgKKuPyILP5flktg1eiIn6ciiKovyc3u9///sy6owzzkhIkXxFUZTPAuHzDAwuJMozUmdRFAmr5vvoc37IqQ8awFVl++yzT/l7PZ6TvTU/+clPkjHigwgwQ4jkixAIBAKBQCAQCAQCgUAg0DMIMA74CBNZj4eQ/eRkbIpsLVLy+yiVfS+U6PbH+LkQcqt0RgHlTzzxxKQ82ZRczUgg3VYHynOyLqOFuBy4rFGUIz85DrEhb5N5uadRepM1fRBMvTlfK8cRJjJcktxADm622jCS4AZuu+22UuuPiNiMnvMwLSEKCAfS4Abc9L333lv+cA//OTeJ8BD0czuOiECuJx+z4O5ByOO3TzJpksfeDhYCm9V9HUyeHOzh8CWGfG3DuzIIEQGfxQRpY40RzxqR87LUEPbF1wMSRoAn8CMTHh6ryXzzzZfcV67D0SBwzKG6YR8xQViQAPVMPvnkbU1hzzZwaQPhYqUpiqJMRyD8No5BifSUkbU/iAvMDSY4I0g5iz66f1YVz5fpEc7SDWJ1c7fj5ubLabksQoMUIlj6h4ghiO7NRxyafRRAvRECgc4iEPkDgUAgEAgEAoFAYHgEyHGMBuQ0+15461A8TzDBBGVm2yB4NFFW86DiIWWrxk477VSmk4PJ8mRE5cl5ypNLZSDjkQ25kflirrgcyMw+eJWv8xGJOuaYY8qfOyFvk/ervzOT83V0HGEi01EDkR4IBAKBQCAQCAQC/RKB6FQgEAh8AxCwFxopQVB48/CgySQk377tAX6Gg3EBWakqtZX38yS5PBJSLc/CwtNo7rnnTjxwcp2OvljbTInOioPM8MLi6YNQKdOZEESmM2hF3kAgEAgEAoFAIBAIBAKBbzACcet1BOz3vuGGGxKPoyrBqefriesgMj2BatQZCAQCgUAgEAgEAoFAIBAIfAMQsJHfHm7H3r7dDomMPSYRTk19jUG0H88gxkCMgRgDMQZiDMQYiDEQY+CbOgbswakTpQ6JDH+1CGOkwCAwiDEw0o2BeG/HiGcW722MgRgDMQZiDIwaY6AovvqIVZXMdEhkfIUqwvopMAgMYgzEGIgxEGNg1B8D8YzjGccYiDHQP8eADxJUSYzzDomMTBECgUAgEAgEAoFAIBAIBAKBQKABAhHVZwgEkekz6KPhQCAQCAQCgUAgEAgEAoFAIBDoKgJBZLqKXN+Xix4EAoFAIBAIBAKBQCAQCAQC31gEgsh8Yx993Hgg8E1EIO45EAgEAoFAIBAIBEYVBILIjCpPMu4jEAgEAoFAIBDoCQSizkAgEAgE+ikCQWT66YOJbgUCgUAgEAgEAoFAIBAIjJwIRK97B4EgMr2Dc7QSCAQCgUAgEAgEAoFAIBAIBALdiECXiMxLL72UVl999TT11FO3G371q18N19V6ubnmmis99thjbfnee++9tMUWW7Rbr3a33Xbb9OGHH7aVyyd33nln2nTTTdPbb7+do8rjs88+m2afffbh6t1tt93K9M78uffee9NCCy3UVteSSy6ZnnzyyfTII4+kP/zhD+mII45oS9NXwX2+//77nWmmzPuXv/xlmLoGDRqU4H/OOeekv//972nIkCGV9GGfx4ILLljWEX8Cgf6AwJdffpnOP//8tvG62Wabdditm266qS3/rLPOOlz+hx56KM0///xlHvPGcBm+jvB+eg+FTTbZJP3rX//6OiUOgUAgEAgEAoHAyI3AP/7xj7Teeuulyy67rKUbefzxx9PPfvazcu0866yz2srssssuZZy18sADD0wfffRRW5oTMqg0QfnXX39ddNOw0047tdV30EEHpY8//niYvNX0gw8+eLj0YTI3uegSkfnss8/Sf//733TxxRenF198Me29996lcE3AvuSSS8q43Xffvcyj3U8//TRdc801acIJJ0z33HNPOvroo8s8ygJ/4MCB6Zhjjkmff/55GRCUI488ssxz2mmntdV9wQUXlHFHHXWUatMXX3xRHqt/PJDbb789/e1vf6tGp+mmmy55cAiQfgLz4YcfToAdJmM7Fx988EFyX4ssskj6z3/+U9b34tD7P+mkk9Iee+yRkJVPPvkkIXDXX399evfdd8u+r7TSSunBBx9M44033jC1r7baaslAGSby64t33nknLb300gk2P/nJT5J70taZZ55ZDtaNN9446c+QoUQGRqONNlrZFmFOPn144okn0ne/+910+umnJ8/g66rjEAj0CQLeaeRl3333TYi4cbnUUku1zRP1Tp133nmlUmP00UdPb731VqksWG655drGsvd4scUWS1tttVU5LyBJG220UcOJ8Ec/+lHbPPXmm28OO3fUG47rQCAQCAQCgUBgJEGAfHfqqaeWinRyYXvdtv6RPRdYYIFEbqSY32CDDUrCst1225VyvXj59txzz7JO9b366qvJen37UPn6lFNOKWV5+eacc86Gay6O8Mtf/jJdeumlZTvqIz+fe+65qivX/W222WaY9N2GGhas+2WGTvwZrRN527KOO+64pVDw4x//uC2ufrLuuuumxRdfvIy+//77S+GeYL/99tunFVdcsYz3B8GZfPLJ01577ZVYU7797W+nzTffPC2xxBKSG4ZFF100rbHGGulb3/rWMOkEeAA/88wz6a677koI1zAZRuDCQ0HYEB9E5oorrkjjjz9+WeOAAQPS2WefnQYNGlRej+gfQtsOO+yQaKMx3hNPPDFpQ71YMLJmEBZFIaphgLNByTKlz/fdd1+iEW+YOSIDgR5GwDj87W9/myaaaKI05ZRTlhbNn/70pyXBv/rqq4drnTLjr3/9a2JJFRB3mf7973+3WVNMspNNNlnbu7HqqqumW2+9Nd1xxx2yRggEAoEeRCCqDgQCgf6BwM0335wOPfTQDjvz3HPPpXXWWSdde+21Zf4bbrghfe973yvL8fBZZZVVEvn5z3/+c3IuwbUj4wDPBuczzjhj+v73v5/Io4wR0sRXg/p4YCnPiEChLz3nFU+Od+SVlXlBTpe31TBaqxmr+SaZZJI0zzzzpDHGGKMaPcw5suMmmKWQFZ2V4Re/+IVDW/jBD35QWjK4XdHUfuc730mEdOXbMtVOEAhuU0hPNen3v/99mnfeecsoLl6sJuVFN/zBQllexhxzzIRI6Xe1WtYW5KMa19XzG2+8MV1++eWldQohhHe1LqQGwaGprsbXz7FhcQbGlVdeWdbnOkIg0NsIsJ7QyFTbnXnmmUtSwjJqnqimOWdtdKSgUN67x9JI8cFi6R0xB4mXT6A14uLZkRLD+7DhhhsmZu2nnnpK0bZAKSFNsDhQYkh89NFHkzjh+OOPTy+88MIw1/KYsFlF5fH+ycNaq9/STdjSXavXvCI+QiAQCAQCgcAoj0C336A1xVpYl0nrDVEC8oai6Ft//fVLg0E1z0wzzVS6af/f//1fQk6QGUp7a5l81tmxxhrLaekFYZ21FWS++eZL0047bRlf/WN9l5brQ4LIzoMHDy6zNUvP7ZWZWvzTJSLTYt1lNmSCW1V5MfQPV6ehh7b/BBFaVREsMv/85z+ddjqwYtDc7rrrrmVZblWsEOVFN/xBLggeCMvAgQMb1siKhLw1TGwxkiaa3z/rlSIGgmM9MMnNMMMM9ehhrhGgzLYJa1z3hskQF4FALyHAEqMp7xClhfMcTLB14jH22GOXyTRN3gHKEOPXOy7h5ZdfLt07nVeDekzCXDyr8dVzls433ngjzTLLLImbKuKiX1xVnW+99daJyxqSY+JnLdZH7qneKRZRi8Gkk06aJp544pSvteGd1Hfmca5zZ5xxRvrjH/+Yjj322MTCtN9++yVKGpoo8witlXIRAoFAIBAIBAKBziDA04HCzxo1xRRTtFuUNea2225L1kbuZAMGDEjcwigJFaQY5+VEhl544YXLvetkUTK6dFscuHbLc91116Wf//znaZxxxknWOgYIeaoh17fzzjunQYMGlVsxHnjggZQNEOoRrLMIDpldOsJUraeV8x4nMtyZCCA6wxTlWA/87MQRQgTnnQ326xAObPxlrdDmySef3NlqmuYnOKmzKIrS3y81+OcBebANksooZjzMNQf7aGh887UjlouUlQWG/sFmhx6G+08YMgiGS6hFDBgwoIwh3BHUyov4Ewj0MgK0RSZIig3aI9oZ5KAoinIfV54s692iHLDvbrbZZiv3xthn473xLtbz5mtzjpCv60fzgw3/lCrmG33RL4EbJiKCPE0//fTJBHz44YeX5nYT7AQTTNBWnfevei2BxoqyoyiKZCJffvnlExc4bSJB3GxZbdTFKuQ9Vi5CIBAIBAKBQCDQKgIIib3liEJ9HWpUBxmWItDaw7XssMMOS6wu1jp7xnMZG+4p56xX1kSkRro1mtcUJbo0Hhb2Z9999925aMPjIYcckij0lFEfjyv15cxkYEq/nE6Gr6bnfO0de5zIuHmuIDrB7cOxGggcudNIQCNmV83f6JyGl6BuT44HSptKyCAAvfLKK42KNI1jpmuUSKOMcOlrR19paFReHAaLFedg4xQ2mq8dfVmtikEjzNTVasgbv3xooSiKVotFvkCg2xHYf//9k4CcmxB9vMPkxTJhnmjWoIkW+ZljjjmS95l10WTcLL9337vaLL1ZPHc1Xwn0rtf7U7UqNytfj6fYoMVCZiwcCNJaa62VTPw0YepElOrl4joQCAQCgUAgEGiGALmZpf/pp59OXJ59PCfLirwFrJH1smRBRMJHqRgVuJLZ5052/tOf/jRMdoq3iy66KFFASicXU7DzKODRYD1DcBSy/SFbdVw3CmRf6/1UU01Vuq1R5lXzkYVZduyf1V49vZq30XmPExmLt/00WfDgM17tCJeO7F5hwSdEVNNbOXfT3Mj4zH8sgQAAB5dJREFUpPsqEpA9aGWxPcdWA+1ro7w+seweDAZ7Thrl6Y44JIbwQ6urPvfm2JVg4GVsM7nrSj1RJhDoDgRYKOwNocWxMb8oioSk+JR5R/WbUO1B815w57LJEAmql0MepDnW0/r62vyx4447piFDhpRfcLRf0KfazYF93bdoPxDoBgSiikAgEOgFBHjXkO18qZMrtC938izQNE8kJMd5NVh/eAzknx7gDUDxL4+9Lo7V4GM8WdHGW4g7mn3i9s1QxB1wwAFte2MatVety3l1rZ9mmmlEDRNYarIs0Ch9mMy1ix4nMrSjvlYAFG1buB1zQAr4xWGHzT5FnPM2OtokTNj32zGA3WeffdIJJ5yQMlvkW2+zcKOy9TifNiZs1eNd8w1k8fGZOxpV1hPx1aD/Xd3jk+uhSdYW7bM4n9SjKXZeDVxsOhKAmB3tuUEkfRGCJrxaR5wHAn2BAP9aG+BNqly5EBP9oNlB4rmOsab+8Ic/TM6lCYiLCdW7QUEyePDg8hOOtEzSBX6/NE7eI9edCayW9s00KqPORvGdiaME8VU1n4DnZso1wNzHotyZeiJvIBAIBAKBwKiCQOfvgyxnUzzDgIDEZBJAxvY5ZW5kK6+8crmBXwv2eFrffHgrW2/EC/Z2kilZYrIMm4kP2dEabZ169913k7VXGVYdCkbnFIzqldcabG1jFGAAyB5MuT58QH6ubdLtV1VHNV174loNI0xk+N3R/OcGmYV0DGPMcTSkfOAIKRdeeGEC2PPPP58ElgIgEroBkMs4Mle99tprTssAYK4l5cXQPwR85q/LL788YXDMUtoCLoAAg7XyUVePB25z1NCi5Re81K8PAhaL1fKLl14PNLx82n1/26YkQpTBoyw/wzXXXLP8rRpudPploGQMsF1t5etct83CvsCWr/PRxw/s+bEvQP/9yJG9M9pydO13MQiC2LV74+uvvLblQ+ZsZIY5cie/9AiBQF8ggHRTWnCt8u4Y+wR7Cgz94dJlbvAFMxvumcxNjBQUvkBoTItHfPIPY/7mN79JLJi33XZbOZeYC7yfND/qrAYTa56nkHuTa/XaBM211Xfuvbvq1F9HliBzFKUMU7z3Tt9t3r/qqqvKZlybW9yn951F2D4e7eT33jtKg+a7+iZqixGy5n0vK4k/gUAgEAgEAoFACwiwqJB3BS5b1iXFrC3SKPgpDSnLfKzKuunTy0gEBbnfdCSXcvdGcqxV1jtKO+stFzV1+hqweinEl1lmmYSgSOeORv635vpUM9lUewwHtkyoj+KO9UZ+X+i0xvo5kbw2SqeYlK5t/Wb10V5nwggTGcKyBX2jjTZKAlJBm0pwqHYE0eATTqgGMF87Yfvtt09MVjb1VvM7R3huueWWsl51Exp89lSaIA0QCMxxxx3X9hUjX1rQp7XXXrssy9+dMOR3LJAhdXFjQ570QfBQkBGfdVZ3s0BY4uuH8GCUyiINv/71r5PyHpAH5kd/fMFMW7TDHj7rUbVe98IsWI3L5wYjnPg+EnRyXwlziBnmLC/NLhxca4twpk8Gr3ww538obw5xDAR6GwHaISTEWOb6aRKt9oGmiNvZsssuW2p8tthii/LdNa6Nb2Pa3MHXNpdDYvjV2nQo3fttUs7p1SOyb07wjpj0KSUQlXztPfGeUhJ4L03i5jbvp3fbBKs+5m9tsQ75EpmPBqjDtS+sUTyY+9SzwgorlF90sa9OWcoQrq+5vxQnMJEWIRAIBAKBQCAQ6AoClGyU99YipEQdforE2uX3BKWJo5Qjt1LqIzd+gFKctYmFh7eANdYaZ92VRjmvLJnXmmcLh3TrnTX7jDPOkJzmnnvu5MMDNuvzbKKwrNZHVkdwKDERpHo6uVm6tbSssBN/RpjI2IPC570attxyy8Qa0qgfFvJqXl80yEJCPT/hv5rXOfetnA8TFJdDtm4MGjQo5bh85JuOCebrZsdsnsttNDpyMauWR6KwXXk9QKazarpzpCyb5ORrNWDAyucAE9/fzuUx7JxWPxpUOV8cA4G+RMD7YXwiB6yEjfrCNXTRRRdNJl3vsvzVkCfoalmWRu+ffEhHNa16zkorTw5c2/K5I6VHzs/FTZzgS2tf+xGXyfbwmUuk0VRV5zNfTWRFzf2Rh6LGpK2wOdH7bCGQ5tPOtGPSIgQCgUAgEAgEAl1BwNqS16XskeCnNyizyejVOhEI64+A+OT1iXcEkiNeoDik9KuWZZDguiZdsOZSKMojbeONNy69ozbffPNETq3WN2TIkMToIK9AeVlN52FRTZen1TDCRKbVhiJfIBAIBALtIbD00ksnxIS1lEKgvbyRFggEAiMDAtHHQCAQ+CYg4MtmlHvcs2ecccZeveUOiQwTVIQX0gsvvBAhMIgx0INj4JRTTkm0QtzAXujBdqLuF2Icx/iKMRBjIMZAfx0DI2G/eFFwl2aheaEH+2+vaZ0ldUhkmJci7JMCg8AgxkCMgRgDMQZiDMQYiDEQYyDGQN+MAR+06jSR8bWxCKenURyDuL/T4xnHGI8xEGMgxkCMgRgDMQZiDPTXMdDoYwAdWmTqzCeuA4FAIBAIBCAQIRAIBAKBQCAQCAT6EoH/BwAA//97QZuFAAAABklEQVQDAOsbv7V/ORSyAAAAAElFTkSuQmCC\" width=\"643\" height=\"565\"\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records.\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;The initials for indirect costs correspond to: (FC) billing, (SS) systems and software, (ME) medical equipment maintenance, (C) cafeteria, (DPP) depreciation of property, plant and equipment, (SA) auxiliary services, (IE) business informatics, (AM) medical audit.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 4 integrates the practical capacity cost rate per hour of consumption of the indirect costs and relates to each of the activities identified in the arthroscopy surgical procedure. The usage time factor for each resource during the patient care cycle is applied to obtain the total cost. Approximately 78% of the indirect costs incurred by an arthroscopic surgical procedure for severe knee pain are related to depreciation of property, plant, and equipment, followed by 8.76% for auxiliary services, 6.71% for systems, software, and business IT, and 6.04% for medical equipment maintenance.\u003c/p\u003e\n\u003cp\u003eFollowing the same analysis regarding the consumption of indirect costs as a function of time. We observe that of the 9.30 hours, the 2.05 hours devoted to non-surgical activities (pre-operative and post-operative) consume 23% of indirect costs, and the 7.25 hours related to surgical intervention activities absorb 77% of this cost group, as determined under the TDABC system.\u003c/p\u003e\n\u003cp\u003eThe indirect costs are added to the direct costs and other direct costs generated by supplies and medication during surgery, routine tests for surgery, and room and board services, to obtain the total cost of this surgical procedure under TDABC. For the surgical procedure on the patient with severe knee pain, the total cost was $4,638.33. When comparing this cost with the cost obtained under the hospital\u0026apos;s costing system, the former reflects a value 101% higher than the latter. This difference is due to the higher burden represented by the indirect costs calculated with TDABC, since they have been tracked using the time cost driver during the patient\u0026apos;s surgical intervention process. These results confirm the assertion made by Berthelot et al. (2021) that a patient would not bear the total burden of indirect costs incurred during their surgical procedure. Indirect costs calculated using TDABC, as they are estimated under the cost driver \u0026lsquo;time\u0026rsquo;, reflect a more realistic consumption of the different resources and facilities used by a patient during a surgical procedure.\u003c/p\u003e\n\u003cp\u003e4.2.8 Phase 7b) Determination of costs under TDABC assigned to each arthroscopic surgery medical record\u003c/p\u003e\n\u003cp\u003eOnce the cost for the patient under study had been defined, both direct and indirect costs were estimated and assigned to the 60 medical records that make up the research, following the same procedure used in phases 4 to 7. The subsequent analysis shows the costs determined under the TDABC system and the cost management system implemented in the hospital. In any surgical procedure, there are general activities that consume the same amount of time regardless of the health procedure, as is the case in this research.\u003c/p\u003e\n\u003cp\u003eThe time spent using resources for each arthroscopy patient was generalised for the 60 medical records, with regard to the following activities: \u0026lsquo;opening medical records\u0026rsquo;, \u0026lsquo;performing routine pre-surgery examinations\u0026rsquo;, \u0026lsquo;recording the surgical procedure, admitting to room\u0026rsquo;, \u0026lsquo;specialist check-up\u0026rsquo; and \u0026lsquo;billing\u0026rsquo;; because these times were not monitored for each patient in their medical records. However, when designing the process map, the time for these activities (Fig. 6) was validated by staff in each area, and these times were estimated as the average for the patients.\u003c/p\u003e\n\u003cp\u003eFor the activities \u0026lsquo;enter the operating theatre for preparation\u0026rsquo;, \u0026lsquo;administer anaesthesia\u0026rsquo;, \u0026lsquo;begin surgery\u0026rsquo;, and \u0026lsquo;transfer to recovery room\u0026rsquo;, calculations were made based on the time recorded in each of the 60 medical records of arthroscopy patients, as shown in Table 5.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5. Determination of costs under TDABC for each arthroscopic surgery medical record\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"954\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHC\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"10\" valign=\"bottom\" style=\"width: 347px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eArthroscopy surgical procedure\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width: 264px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTDABC Costs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 201px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHospital System Costs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDifference\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCE\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePC\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePA\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIC\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHP\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFC\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCE\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOCD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eN\u0026deg;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT/h\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e$\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.764,78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.688,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e677,90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.131,07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.646,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e570,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.216,97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.914,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e131,45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.133,59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.443,78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e209,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.786,97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e739,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e407,70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.147,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.639,69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e142,92\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.270,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.720,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e239,71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.230,82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e872,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.285,99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.944,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e151,23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.204,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.592,53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e261,99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.058,64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e952,09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e578,29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.530,38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.528,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e99,86\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.218,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.611,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e296,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.126,49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e671,09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.084,69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.041,80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e188,24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.411,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.001,71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e337,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.750,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.174,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e476,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.650,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.100,14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e127,23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.312,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.814,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e358,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.484,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e705,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.119,34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.365,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e211,30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.198,27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.567,85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e212,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.978,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.999,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e476,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.475,98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e502,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e20,29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.368,24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.901,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.157,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.427,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.180,34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e360,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.540,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.886,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e53,28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.179,01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.530,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e290,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.999,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e226,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e461,63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e688,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.311,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e335,98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.440,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.697,88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e293,89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.431,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e843,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e334,80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.177,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.253,88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e191,35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.441,36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.068,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e470,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.979,80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.592,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.005,68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.974,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e98,43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.394,04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.976,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e218,96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.589,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e838,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.251,90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.337,84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e186,74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.291,53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.755,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.216,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.263,95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.223,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e482,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.706,07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.557,88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e57,57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.218,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.615,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e560,49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.394,77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.179,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.593,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.801,34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e113,05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.167,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.514,01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e363,70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.045,62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.097,34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.510,94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.534,68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e101,57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e4,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.486,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.157,77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.159,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.803,98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.961,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e470,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.432,21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.371,77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e97,52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.389,32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.958,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e550,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.898,68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.343,93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e479,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.823,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.075,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e113,85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.309,24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.794,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e453,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.557,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.010,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e470,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.480,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.077,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e140,28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.429,36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.040,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e500,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.970,29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.037,62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.451,22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.519,07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e173,58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e4,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.660,62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.516,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e211,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.388,44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.034,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.448,32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.940,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e203,00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.050,85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.203,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e383,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.638,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.722,54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e576,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.299,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.339,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e101,75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.958,59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.285,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e4.243,04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e10.487,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.235,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e813,90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e6.049,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e4.438,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e73,36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.463,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.107,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e321,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.891,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e872,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e476,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.348,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.543,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e188,58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e7,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.801,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.805,44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e520,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.127,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.422,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e346,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.769,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e3.358,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e189,83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e7,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.010,14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.860,06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.557,97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e6.428,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.435,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e688,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.123,71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e3.304,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e105,79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.249,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.685,68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e513,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.448,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.346,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e401,80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.748,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.700,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e97,25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.438,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.701,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e409,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.549,32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e927,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e419,84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.347,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.201,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e163,38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.446,90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.045,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.124,07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.616,09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.340,85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e579,73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.920,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.695,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e58,05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.303,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.783,22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.274,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.360,97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.069,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.483,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.877,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e75,60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e6,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.658,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.512,82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e730,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.902,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.849,16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e643,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.492,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.410,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e96,70\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.118,34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.412,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e435,82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.966,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.882,77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e200,16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.082,93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e883,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e42,43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.008,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.107,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e3.759,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e7.874,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e6.951,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e880,16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e7.831,73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e42,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e0,55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.804,38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.411,38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.190,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.406,18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.430,90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e570,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.001,82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.404,36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e80,10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.341,61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.502,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e299,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.143,29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.871,06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e150,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.021,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.121,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e55,50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.034,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.260,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e358,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.653,66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.583,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e411,77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.995,14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e658,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e33,01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.285,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.736,89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e332,78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.355,14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e966,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e512,36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.479,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.876,06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e126,84\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.317,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.818,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e365,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.501,97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e889,82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.303,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.198,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e168,68\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.169,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.521,81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e271,93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.962,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e749,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.163,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.799,73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e154,75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.293,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.740,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e308,87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.342,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.538,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e464,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.003,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.339,21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e66,85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.229,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.634,96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e320,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.185,34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e871,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e502,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.374,18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.811,16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e131,80\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.569,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.286,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e3.682,29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e7.538,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.752,11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e565,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.317,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.221,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e41,78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.436,87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.709,09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e673,54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.819,49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e617,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e116,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e734,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e3.085,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e420,35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.806,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.754,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.320,63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e6.882,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.461,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e990,96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.452,71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.429,29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e54,56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.259,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.701,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.088,73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.049,44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.307,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e472,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.780,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.269,21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e45,65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.179,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.537,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e254,87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.971,64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.676,59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e92,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.768,99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.202,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e67,98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.464,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.087,54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e907,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.459,06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.371,47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e313,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.685,07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.773,99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e66,07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e3,18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.223,66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.551,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e2.098,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e6.873,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.146,76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e662,38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.809,14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e3.064,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e80,44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.288,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.759,81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e302,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.350,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e989,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.403,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.947,16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e138,76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.276,74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.375,89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.070,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.723,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.634,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.204,63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.838,94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e884,08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e31,14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.162,78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.131,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e3.092,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e5.387,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e6.926,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.271,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e8.197,85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e-2.810,70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e-34,29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.450,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.075,84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e332,59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.859,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e984,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e470,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.454,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.404,14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e165,25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.212,56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.599,84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e321,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.133,65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e953,93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.367,53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.766,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e129,15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.219,39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.619,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e347,12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.185,86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.109,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e344,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.453,36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.732,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e119,21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.502,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.181,18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e354,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e4.037,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e913,78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e467,40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.381,18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.656,23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e192,32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.271,02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.732,21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e144,22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.147,45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e827,57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e285,62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.113,19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e2.034,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e182,74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.290,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.398,52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e986,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.675,22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.086,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e362,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.449,43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e225,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e6,55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.292,64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.763,71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e453,44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e3.509,79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.886,91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e494,03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.380,94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.128,85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e47,41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.077,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.331,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e415,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.824,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e751,98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e79,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e831,26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.992,94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e239,75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e1,05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e2,37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 35px;\"\u003e\n \u003cp\u003e0,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.153,59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.487,48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e167,41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e2.808,48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e678,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e413,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e1.091,75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\n \u003cp\u003e1.716,73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\n \u003cp\u003e157,25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"11\" valign=\"bottom\" style=\"width: 381px;\"\u003e\n \u003cp\u003eTotal costs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e85.409,72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e113.190,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e48.776,54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e105.366,01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e28.604,50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"11\" valign=\"bottom\" style=\"width: 381px;\"\u003e\n \u003cp\u003eTotal costs determined by TDABC and hospital costing system\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u0026nbsp;34,53%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026nbsp;45,76%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u0026nbsp;19,72%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e247.376,80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026nbsp;78,65%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 63px;\"\u003e\n \u003cp\u003e21,35%\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 69px;\"\u003e\n \u003cp\u003e133.970,51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 61px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eSource: Own elaboration, based on information obtained from medical records\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 5 includes two groups of data in its columns. On the one hand, the time spent using resources for the arthroscopic surgical procedure for each of the activities of (CE) outpatient consultations, (IR) performing imaging tests, (PC) preparing for surgery, (PA) preparing for anaesthesia, (IC) starting surgery, (SR) moving to the recovery room, (HP) transfer to hospitalisation, (TH) transfer to room, (CE) specialist check-up and (FC) billing. On the other hand, it includes the costs (direct, other direct, and indirect costs) determined under TDABC, as well as the costs (direct and indirect) assigned under the system implemented in the hospital. The first column lists the 60 medical records studied. Medical record No. 22 corresponds to the patient whose case study was developed to determine the time spent (Fig. 6) and the estimated costs (Table 4), which is why it stands out from the rest of the data.\u003c/p\u003e"},{"header":"5.\tDiscussion of results","content":"\u003cp\u003eAs mentioned, TDABC does not seek to standardise a patient\u0026apos;s medical care times with respect to the different activities they undergo during a surgical procedure. However, obtaining detailed times is an operational efficiency for the hospital because it has a policy in place to record times during operating theatre use (preparation for surgery, administration of anaesthesia, surgery, and transfer to the recovery room). It is observed that determining the time is essential due to the operating theatre rental service provided by the hospital to external doctors who need to use the facilities for other surgical procedures. This facilitated the estimation of costs based on the time spent using the resources.\u003c/p\u003e\n\u003cp\u003eIn the 60 arthroscopy procedures collected during one semester of 2022, it was observed that direct costs, including other direct costs such as pharmacy supplies, medication administration, routine pre-surgery laboratory tests, and room and board services consumed by the patient during surgery, represent 54.25%, while indirect costs comprise the remaining 45.76%. On the other hand, when compared to the costs determined under the hospital costing system, it can be seen that direct costs represent 78.65% and indirect costs 21.35%. The estimation of costs under TDABC determined by the time factor is accurate, as it tracks the costs actually incurred by a patient throughout the entire healthcare cycle. So it is understandable that the weight of indirect costs under TDABC is greater.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt is worthwhile analysing the costs from the accounting items included in Table 1. It was estimated that surgical procedures for 2022 had consumed $1,339,988.99 in direct costs and $474,605.11 in indirect costs. If these values were divided by two semesters, we obtained that half-year direct costs were $669,994.49 and $237,392.56 indirect costs. A very important data for managers, as it allows us to determine that the 60 arthroscopic surgical procedures have consumed a total of 20% in direct and other direct costs, while spending 48% on indirect costs, with costs determined under TDABC. When the same analysis is performed for costs under the hospital costing system, it is found that this surgical procedure consumed 15.72% of direct costs and only 12.05% of indirect costs.\u003c/p\u003e\n\u003cp\u003eThe indirect costs estimated under the hospital costing system are extremely low, considering the investment required by hospital structural costs and their use in arthroscopic surgical procedures. From this analysis, it can be seen that the indirect costs estimated by the hospital costing system are 295.71% lower than indirect costs using TDABC. It was the indirect costs that significantly marked the difference between the costs determined under the two systems, thus reflecting an increase in total cost of over 100% of 33 medical records and between 50% and 100% of 17 medical records.\u003c/p\u003e\n\u003cp\u003eWith these results, administrative and medical management should analyse the actual flow of indirect costs of the hospital system for the surgical procedures and health services it provides. In line with the economic reality of businesses, they face prices that are already determined by the market, and it is their responsibility to manage and control indirect costs in order to generate a competitive advantage. According to this costing system, the burden of indirect costs can be quantified more accurately, which influences the profitability that the hospital receives for the services it provides to each patient. In turn, this information should serve as support for analysing the significance of the reimbursement rates agreed with insurers and their compensation for the actual consumption of hospital resources.\u003c/p\u003e\n\u003cp\u003eErhun et al. (2020) state that, in the TDABC costing method, for designing process maps and determining practical capacity, different techniques must be combined to collect information using prospective or retrospective approaches. In this regard, the techniques used have been explained throughout the implementation described.\u003c/p\u003e"},{"header":"6.\tConclusions","content":"\u003cp\u003eThe objective of this research was to develop a pilot study to implement the TDABC costing system in the hospital sector, in a private hospital in Ecuador, through a case study of arthroscopic surgical procedures. To this end, the seven phases of cost determination under TDABC proposed by Kaplan \u0026amp; Porter (2011) were followed. In applying each phase, the prospective and/or retrospective approach used to obtain the necessary information and evidence was identified.\u003c/p\u003e\n\u003cp\u003eThe TDABC cost management system has been widely applied in hospitals in countries such as the United States, the United Kingdom, other European countries, and Brazil, a Latin American country that has applied this methodology in surgical procedures. Having developed a case study of cost determination under TDABC in Ecuador, it was observed that the feasibility of implementing this costing system is directly influenced by the company\u0026apos;s capacity for organisation, management, planning, and control in the performance of its functions.\u003c/p\u003e\n\u003cp\u003eDeveloping a case study on the TDABC costing system has been extremely useful, as it was carried out using real company data and following the corresponding process, making it an ideal tool for senior management to analyse the advantages of managing and controlling costs with TDABC. However, senior management will have transparent information that supports decision-making and control of the resources and inputs consumed during a complete patient care cycle. Furthermore, the case study allows for the comparison of TDABC with traditional costing systems, specifically with the accounting system implemented by the hospital, which, by its nature, is based on areas of responsibility.\u003c/p\u003e\n\u003cp\u003eThe case study of a TDABC implementation has provided an opportunity to understand the contribution that a modern cost management and control methodology can make to a company, where the use of technology to control the allocation of resources and labour is almost commonplace in all economic activities. Specifically, for healthcare service providers, monitoring the implementation of TDABC and the phases followed for its application is extremely useful because it allows them, on the one hand, to understand that mapping processes is a strategy for continuous improvement, standardisation and process management, and that, for cost calculation purposes, they focus specifically on the amount of resources and the time used for each resource in each activity and, on the other hand, to track the different consumable resources, supplies and medicines (Kaplan \u0026amp; Witkowski, 2014).\u003c/p\u003e\n\u003cp\u003eThis paper makes two main contributions. Generally speaking, there is research on cost management in manufacturing industries. However, the development of TDABC for a healthcare company in this article represents an important first contribution, since, on the one hand, this business area requires significant investment in physical infrastructure, modern technological equipment, and highly trained personnel in order to provide services that meet quality standards and remain sustainable in a highly competitive environment. On the other hand, it has been observed that healthcare expenditure as a percentage of GDP tends to be high in different countries. Therefore, this research may be of great interest to accounting academics and cost analysts, as it provides a key guide for implementing TDABC in arthroscopy or in other surgical procedures.\u003c/p\u003e\n\u003cp\u003eThe second contribution of this article relates to the total number of 60 medical records analysed, for which costs have been determined individually according to TDABC, with a detailed description of all calculations performed, allowing for traceability and reproduction. The development of the pilot study on cost management under TDABC completely changes the traditional cost study scheme. When beginning the cost determination process, the researcher focused on the cost object, which in the case of this study was \u0026lsquo;arthroscopic surgical procedures\u0026rsquo; and proceeded to investigate all the areas the patient went through to undergo this type of procedure, bearing in mind that it is a costing system that does not seek to generalise the bases for cost allocation, but rather treats costs according to the needs of each patient.\u003c/p\u003e\n\u003cp\u003eTherefore, understanding the value chain and the design process maps are two key tools for the success of this methodology. It was found that of the total of 60 medical records, practically 50 of them reflected that determining costs under TDABC generates total costs that are more than 50% higher than the hospital\u0026apos;s traditional costing system. It cannot be said that this is negative or positive. However, if the installed capacity of this type of business is taken into account, it could be considered a fairer cost measure for the company to be sustainable over time.\u003c/p\u003e\n\u003cp\u003eFinally, we believe it may be of interest to learn more about the different characteristics of the medical records that show a minimal difference between the costs determined by the two systems, since the operating theatre usage time is clearly identified in the medical records. Therefore, we consider it is important to increase the time control in preoperative and postoperative processes.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eContributions\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe development of this case study contributes to the accounting profession, both in the healthcare sector and in other sectors, by determining the TDABC methodology following the seven-phase process proposed by Kaplan \u0026amp; Porter (2011). Its application not only facilitates practical implementation but also promotes interaction with those responsible for each area, favouring more efficient information management and a more precise distinction between direct and indirect costs, taking time as the sole cost driver.\u003c/p\u003e\n\u003cp\u003eLikewise, this work can be considered a methodological guide to TDABC for the academic teaching of this costing methodology, since the preparation of each table includes detailed information on the procedure followed to determine both direct and indirect costs.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eLimitations\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eOne main limitation of this research is that it is a pilot study designed for a specific area. As such, the results cannot be generalized, even though they are based on the analysis of 60 medical records from various arthroscopy procedures, which contain important information about operating theatre usage time.\u003c/p\u003e\n\u003cp\u003eAlthough the pilot study showed that TDABC provides a more realistic estimate of hospital resource use per patient when estimating the capacity cost rate of both direct and indirect costs, this result could not be linked to savings, actual reductions, or excessive increases in costs. TDABC has not yet been fully implemented in the hospital. However, information from this pilot study allowed administrative and accounting management to recognise that TDABC tracks resource consumption more accurately as a modern cost management tool. There is concern about the burden it would place on each patient, which could significantly decrease facility use.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePossibilities for future research.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eIt would be interesting to evaluate the same type of implementation in arthroscopy procedures in a public hospital, to compare the behaviour of costs determined under TDABC with respect to indirect costs and cost reduction, and to check whether there are differences in relation to a private hospital.\u003c/p\u003e\n\u003cp\u003eFurther research on TDABC methodology could be worthwhile in other surgical procedures in public hospitals, given that this study was conducted in a private hospital, and there may be differences to be explored\u003c/p\u003e\n\u003cp\u003eIf the hospital considers other income, such as the rental of operating theatre facilities for other surgical specialities, it would be important to develop TDABC to see whether the charge for the use of the facilities is in line with the time taken to consume the resources.\u003c/p\u003e\n\u003cp\u003eRequest authorisation from the hospital to develop a case study for the entire surgical procedures area and compare it with the surgical results of arthroscopy. This is because the hospital has a policy of determining the time of use of the operating theatre. This facilitates the tracking of resources consumed by a patient undergoing surgery.\u003c/p\u003e"},{"header":"List of abbreviations","content":"\u003cp\u003e(AA) Activity Analysis\u003c/p\u003e\n\u003cp\u003e(ABC) Activity-Based Costing\u003c/p\u003e\n\u003cp\u003e(ACA) Activity Cost Analysis\u003c/p\u003e\n\u003cp\u003e(AM) medical audit.\u003c/p\u003e\n\u003cp\u003e(C) cafeteria\u003c/p\u003e\n\u003cp\u003e(CE) specialist check-up\u003c/p\u003e\n\u003cp\u003e(CE) outpatient consultation\u003c/p\u003e\n\u003cp\u003e(DPP) depreciation of property, plant, and equipment\u003c/p\u003e\n\u003cp\u003e(DS) medical waste.\u003c/p\u003e\n\u003cp\u003e(ES) sterilisation\u003c/p\u003e\n\u003cp\u003e(FC) billing\u003c/p\u003e\n\u003cp\u003e(FM) pharmacy\u003c/p\u003e\n\u003cp\u003e(GDP) Gross Domestic Product\u003c/p\u003e\n\u003cp\u003e(HP) hospitalization\u003c/p\u003e\n\u003cp\u003e(IC) begin surgery\u003c/p\u003e\n\u003cp\u003e(IE) business informatics\u003c/p\u003e\n\u003cp\u003e(IESS) Ecuadorian Social Security Institute\u003c/p\u003e\n\u003cp\u003e(IR) imaging and radiology\u003c/p\u003e\n\u003cp\u003e(IR) perform imaging tests\u003c/p\u003e\n\u003cp\u003e(ISSFA) Social Security for the Armed Forces\u003c/p\u003e\n\u003cp\u003e(ISSPOL) National Police Social Security Institute\u003c/p\u003e\n\u003cp\u003e(ME) medical equipment maintenance\u003c/p\u003e\n\u003cp\u003e(PA) prepare for anaesthesia\u003c/p\u003e\n\u003cp\u003e(PC) prepare for surgery\u003c/p\u003e\n\u003cp\u003e(QR) operating theatre\u003c/p\u003e\n\u003cp\u003e(RCC) Cost-to-Charge Ratio\u003c/p\u003e\n\u003cp\u003e(RVU) Relative Value Unit\u003c/p\u003e\n\u003cp\u003e(SA) auxiliary services\u003c/p\u003e\n\u003cp\u003e(SR) transfer to recovery room\u003c/p\u003e\n\u003cp\u003e(SS) systems and software\u003c/p\u003e\n\u003cp\u003e(TH) transfer to room\u003c/p\u003e\n\u003cp\u003e(TDABC) Time-Driven Activity-Based Costing\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eEthics approval\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors freely and voluntarily decided to participate in the development of the article, therefore, we are responsible for its content.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eConsent for publication\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDue to the impact of the journal and the scope of the article, we opted to submit the article to the \u003cem\u003eReview of Accounting Studies\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eAvailability of data and materials\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOur research is a case study of cost determination under the Time-driven Activity-based Costing system applied to a private university hospital in Ecuador. For its development, we worked with real information from the hospital under a pilot study. It was empirical data research with a mixed approach, since through the theoretical support each of the cost determination phases proposed by Kaplan and Porter (2011) was developed and through the development of semi-structured interviews and direct observation, information from the hospital was collected for cost determination under TDABC.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll data collected to support the findings of this research are included in the results through the design of tables (quantitative data) and graphs (for characterizing the study population and process maps). The information collected and presented in the results is the product of fieldwork conducted at the hospital under study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eCompeting interests\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflicts of interest in the development of this research, with respect to any part of this document. We take responsibility for its content.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eFunding\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo external sources of funding were required for this research.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eAcknowledgements\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOur special thanks go to all the staff at the private university hospital in Loja city, who kindly assisted in obtaining the information on which our findings are based. The findings were shared, subject to the condition that neither the name of the company nor its staff be mentioned in any section of the article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eAuthor contribution\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe development of this case study contributes to the accounting profession, both in the healthcare sector and in other sectors, by determining the TDABC methodology following the seven-phase process proposed by Kaplan \u0026amp; Porter (2011). Its application not only facilitates practical implementation but also promotes interaction with those responsible for each area, favoring more efficient information management and a more precise delineation between direct and indirect costs, considering time as the only cost driver.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFurthermore, this work can be considered a TDABC methodological guide for the academic teaching of this costing methodology, since the value chain and the respective process flowcharts were designed through fieldwork and interaction with each of the officials involved in each area to be intervened, and the information contained in each of the tables includes real data from the hospital according to the procedure followed to determine both direct and indirect costs and thus be able to estimate the total cost of the arthroscopy service provided.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAkhavan, S., Ward, L., \u0026amp; Bozic, K. J. Time-driven activity-based costing more accurately reflects costs in arthroplasty surgery. Clinical Orthopaedics and Related Research. 2016;474(1):8-15.\u003c/li\u003e\n\u003cli\u003eAl Amiri, N., \u0026amp; El Khmidi, S. Implementing time-driven activity-based costing (TDABC) in out-patient nursing department: A case from UAE. Management Science Letters. 2019;9(3):365\u0026ndash;380. https://doi.org/10.5267/j.msl.2018.12.012\u003c/li\u003e\n\u003cli\u003eAlcaraz, A., Rojas-Roque, C., Prina, D., Gonz\u0026aacute;lez, J. M., Pichon-Riviere, A., Augustovski, F., \u0026amp; Palacios, A. Improving the monitoring of chronic heart failure in Argentina: is the implantable pulmonary artery pressure with CardioMEMS Heart Failure System cost-effective?. Cost Effectiveness and Resource Allocation. 2021; 19(1): 40.\u003c/li\u003e\n\u003cli\u003eAllin, O., Urman, R. D., Edwards, A. F., Blitz, J. D., Pfeifer, K. J., Feeley, T. W., \u0026amp; Bader, A. M. Using Time-Driven Activity-Based Costing to Demonstrate Value in Perioperative Care: Recommendations and Review from the Society for Perioperative Assessment and Quality Improvement (SPAQI). In Journal of Medical Systems. 2020; 44(1):8-25. Springer. https://doi.org/10.1007/s10916-019-1503-2\u003c/li\u003e\n\u003cli\u003eAnderson, S. A framework for assessing Costo Management System Changes: The case of Activity based costing implementation at General Motors, 1986 - 1993. Journal of Mangement Acconting. 1995;7: 1\u0026ndash;51.\u003c/li\u003e\n\u003cli\u003eAnzai, Y., Heilbrun, M. E., Haas, D., Boi, L., Moshre, K., Minoshima, S., Kaplan, R., \u0026amp; Lee, V. S. Dissecting Costs of CT Study: Application of TDABC (Time-driven Activity-based Costing) in a Tertiary Academic Center. Academic Radiology. 2017;24(2):200\u0026ndash;208. https://doi.org/10.1016/j.acra.2016.11.001\u003c/li\u003e\n\u003cli\u003eBalakrishnan, R., Pugely, A. J., \u0026amp; Shah, A. S. Modeling resource use with time equations: Empirical evidence. Journal of Management Accounting Research. 2017;29(1):1\u0026ndash;12. https://doi.org/10.2308/jmar-51444\u003c/li\u003e\n\u003cli\u003eBecker, C., Leidl, R., Schildmann, E., Hodiamont, F., \u0026amp; Bausewein, C. A pilot study on patient-related costs and factors associated with the cost of specialist palliative care in the hospital: first steps towards a patient classification system in Germany. Cost Effectiveness and Resource Allocation. 2018;16(1):35.\u003c/li\u003e\n\u003cli\u003eBerthelot, S., Breton, M., Robert Guertin, J., Michel Archambault, P., Berger Pelletier, E., Blouin, D., Borgundvaag, B., Duhoux, A., Harvey Labb\u0026eacute;, L., Laberge, M., Lachapelle, P., Lapointe-Shaw, L., Layani, G., Lefebvre, G., Mallet, M., Matthews, D., McBrien, K., McLeod, S., Mercier, E., \u0026hellip; Vaillancourt, S. A value-based comparison of the management of ambulatory respiratory diseases in walk-in clinics, primary care practices, and emergency departments: Protocol for a multicenter prospective cohort study. JMIR Research Protocols. 2021;10(2):e25619. https://doi.org/10.2196/25619\u003c/li\u003e\n\u003cli\u003eBlumenthal, K. G., Li, Y., Banerji, A., Yun, B. J., Long, A. A., \u0026amp; Walensky, R. P. (2018). The Cost of Penicillin Allergy Evaluation. \u003cem\u003eJournal of Allergy and Clinical Immunology: \u003c/em\u003eIn Practice. 2018;6(3): 1019-1027.e2. https://doi.org/10.1016/j.jaip.2017.08.006\u003c/li\u003e\n\u003cli\u003eCampanale, C., Cinquini, L., \u0026amp; Tenucci, A. Time-Driven Activity-Based Costing to improve transparency and decision making in healthcare A case study. Qualitative Research in Accounting and Management. 2014;11(2):165\u0026ndash;186. https://doi.org/10.1108/QRAM-04-2014-0036\u003c/li\u003e\n\u003cli\u003eCardinaels, E., \u0026amp; Labro, E. On the determinants of measurement error in time-driven costing. Accounting Review. 2008;83(3):735\u0026ndash;756. https://doi.org/10.2308/accr.2008.83.3.735\u003c/li\u003e\n\u003cli\u003eChoudhery, S., Stellmaker, J. A., Hanson, A. L., Ness, J., Chida, L., Johnson, B., \u0026amp; Conners, A. L. Utilizing Time-Driven Activity-Based Costing to Increase Efficiency in Ultrasound-Guided Breast Biopsy Practice. Journal of the American College of Radiology. 2020;17(1):131\u0026ndash;136. https://doi.org/10.1016/j.jacr.2019.06.016\u003c/li\u003e\n\u003cli\u003eCongreso Nacional del Ecuador: C\u0026oacute;digo de Trabajo. \u003cem\u003eSeg\u0026uacute;n registro oficial\u003c/em\u003e N\u0026deg;167. https://www.gob.ec/sites/default/files/regulations/2018-10/C%C3%B3digo-del-Trabajo.pdf (2005). Accessed (12 de septiembre de 2014).\u003c/li\u003e\n\u003cli\u003eCooper, R, y Kaplan, R. S. How cost accounting distorts product costs. Strategic Finance. 1988;69(10):20.\u003c/li\u003e\n\u003cli\u003eCrott, R., Lawson, G., Nollevaux, M. C., Castiaux, A., \u0026amp; Krug, B. Comprehensive cost analysis of sentinel node biopsy in solid head and neck tumors using a time-driven activity-based costing approach. European Archives of Oto-Rhino-Laryngology. 2016;273(9):2621\u0026ndash;2628. https://doi.org/10.1007/s00405-016-4089-z\u003c/li\u003e\n\u003cli\u003eDefourny, N., Perrier, L., Borras, J. M., Coffey, M., Corral, J., Hooz\u0026eacute;e, S., Loon, J. van, Grau, C., \u0026amp; Lievens, Y. National costs and resource requirements of external beam radiotherapy: A time-driven activity-based costing model from the ESTRO-HERO project. Radiotherapy and Oncology. 2019;138:187\u0026ndash;194. https://doi.org/10.1016/j.radonc.2019.06.015\u003c/li\u003e\n\u003cli\u003eDubron, K., Verschaeve, M., \u0026amp; Roodhooft, F. A Time-Driven Activity-Based Costing approach for identifying variability in costs of childbirth between and within types of delivery. BMC Pregnancy and Childbirth. 2021;21(705):1-9. https://doi.org/10.1186/s12884-021-04134-4\u003c/li\u003e\n\u003cli\u003eDutta, S. W., Bauer-Nilsen, K., Sanders, J. C., Trifiletti, D. M., Libby, B., Lash, D. H., Lain, M., Christodoulou, D., Hodge, C., \u0026amp; Showalter, T. N. Time-driven activity-based cost comparison of prostate cancer brachytherapy and intensity-modulated radiation therapy. Brachytherapy. 2018;17(3):556\u0026ndash;563. https://doi.org/10.1016/j.brachy.2018.01.013\u003c/li\u003e\n\u003cli\u003eEl Alaoui, S., Hedman-Lagerl\u0026ouml;f, E., Lj\u0026oacute;tsson, B., \u0026amp; Lindefors, N. Does internet-based cognitive behaviour therapy reduce healthcare costs and resource use in treatment of social anxiety disorder? A cost-minimisation analysis conducted alongside a randomised controlled trial. BMJ Open. 2017;7(9):e017053. https://doi.org/10.1136/bmjopen-2017-017053\u003c/li\u003e\n\u003cli\u003eErfani, P., Gaga, E., Hakizimana, E., Kayitare, E., Mugunga, J. C., Shyirambere, C., Milner, D. A., Shulman, L. N., Ruhangaza, D., \u0026amp; Fadelu, T. Breast cancer molecular diagnostics in Rwanda: a cost-minimization study of immunohistochemistry versus a novel GeneXpert\u0026reg; mRNA expression assay. Bulletin of the World Health Organization. 2023;101(1):10\u0026ndash;19. https://doi.org/10.2471/BLT.22.288800\u003c/li\u003e\n\u003cli\u003eErhun, F., Kaplan, R. S., Narayanan, V. G., Brayton, K., Kalani, M., Mazza, M. C., Nguyen, C., Platchek, T., Mistry, B., Mann, R., Kazi, D., Pinnock, C., Schulman, K. A., Xue, J., Ballard, D., Mack, M., James, B., Poulsen, G., Punnen, J., \u0026hellip; Milstein, A. Are cost advantages from a modern Indian hospital transferable to the United States?. American Heart Journal. 2020;224:148\u0026ndash;155.\u003c/li\u003e\n\u003cli\u003eFrench, K. E., Guzman, A. B., Rubio, A. C., Frenzel, J. C., \u0026amp; Feeley, T. W. Value based care and bundled payments: Anesthesia care costs for outpatient oncology surgery using time-driven activity-based costing. Healthcare. 2016;4(3):173\u0026ndash;180. https://doi.org/10.1016/j.hjdsi.2015.08.007\u003c/li\u003e\n\u003cli\u003eGhasemi Rad, M., Wynne, D., Ghasemi, M., Lincoln, C., \u0026amp; Whigham, C. Time-Driven, Activity-Based Costing to Reduce Interventional Radiology Suite Idle Time. Cureus. 2022;14(11):e31862. https://doi.org/10.7759/cureus.31862\u003c/li\u003e\n\u003cli\u003eGoense, L., van der Sluis, P. C., van der Horst, S., Tagkalos, E., Grimminger, P. P., van Dijk, W., Ruurda, J. P., \u0026amp; van Hillegersberg, R. Cost analysis of robot-assisted versus open transthoracic esophagectomy for resectable esophageal cancer. Results of the ROBOT randomized clinical trial. European Journal of Surgical Oncology. 2023;49(10):e106968. https://doi.org/10.1016/j.ejso.2023.06.020\u003c/li\u003e\n\u003cli\u003eGoh, O. Q. M., Xin, X., Lim, W. T., Tan, M. W. J., Kan, J. Y. L., Osman, H. B., Kee, W., Teo, T. Y., Tan, W. B., Kang, M. L., \u0026amp; Graves, N. Economic Evaluation of Novel Models of Care for Patients with Acute Medical Problems. JAMA Network Open. 2023;6(9):E2334936. https://doi.org/10.1001/jamanetworkopen.2023.34936\u003c/li\u003e\n\u003cli\u003eGosselin, M. The effect of strategy and organizational structure on the adoption and implementation of activity-based costing. Accounting, organizations and society. 1997;22(2):105-122.\u003c/li\u003e\n\u003cli\u003eHayatghaibi, S. E., Sammer, M. B. K., Varghese, V., Seghers, V. J., \u0026amp; Sher, A. C. Prospective cost implications with a clinical decision support system for pediatric emergency head computed tomography. Pediatric Radiology. 2021;51(13):2561\u0026ndash;2567. https://doi.org/10.1007/s00247-021-05159-9/Published\u003c/li\u003e\n\u003cli\u003eHeaton, H. A., Nestler, D. M., Barry, W. J., Helmers, R. A., Sir, M. Y., Goyal, D. G., Haas, D. A., Kaplan, R. S., \u0026amp; Sadosty, A. T. A Time-Driven Activity-Based Costing Analysis of Emergency Department Scribes. Mayo Clinic Proceedings: Innovations, Quality \u0026amp; Outcomes. 2019;3(1):30\u0026ndash;34. https://doi.org/10.1016/j.mayocpiqo.2018.11.004\u003c/li\u003e\n\u003cli\u003eHernandez, A., Kaplan, R. S., Witkowski, M. L., Forrest Faison, C., \u0026amp; Porter, M. E. Navy medicine introduces value-based health care. Health Affairs. 2019;38(8):1393\u0026ndash;1400. https://doi.org/10.1377/hlthaff.2019.00280\u003c/li\u003e\n\u003cli\u003eInverso, G., Lappi, M. D., Flath-Sporn, S. J., Heald, R., Kim, D. C., \u0026amp; Meara, J. G. Increasing value in plagiocephaly care: A time-driven activity-based costing pilot study. Annals of Plastic Surgery. 2015;74(6):672\u0026ndash;676. https://doi.org/10.1097/SAP.0000000000000002\u003c/li\u003e\n\u003cli\u003eKaplan, R. S., \u0026amp; Anderson, S. R. Time-Driven Activity-Based Costing. Harvard Business Review. 2004;82(11):131\u0026ndash;138. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=485443\u003c/li\u003e\n\u003cli\u003eKaplan, R. S., \u0026amp; Haas, D. Defining, measuring, and improving value in spine care. In \u003cem\u003eSeminars in \u003c/em\u003eSpine Surgery. 2018;30(2):80-83.\u003c/li\u003e\n\u003cli\u003eKaplan, R. \u0026amp; Porter, M. How to solve the cost crisis in health care. Harvard Business Review. 2011;89(9):46\u0026ndash;52.\u003c/li\u003e\n\u003cli\u003eKaplan, R. S., \u0026amp; Witkowski, M. L. Better accounting transforms health care delivery. Accounting Horizons. 2014;28(2):365-383. American Accounting Association. https://doi.org/10.2308/acch-50658\u003c/li\u003e\n\u003cli\u003eKoolmees, D., Ramkumar, P. N., Hessburg, L., Guo, E., Bernstein, D. N., \u0026amp; Makhni, E. C. Time-Driven Activity-based Costing for Anterior Cruciate Ligament Reconstruction: A Comparison to Traditional Accounting Methods. Arthroscopy,\u003cem\u003e \u003c/em\u003eSports Medicine, and Rehabilitation. 2021;3(1):e39\u0026ndash;e45. https://doi.org/10.1016/j.asmr.2020.08.006\u003c/li\u003e\n\u003cli\u003eKrumwiede, K. The Implementation Stages of Activity-Based Costing and the Impact of Cantextual and Organizational Factors. Journal of Management Accounting Research. 1998;10(1):240\u0026ndash;277.\u003c/li\u003e\n\u003cli\u003eMalmi, T. Towards explaining activity-based costing failure: accounting and control in a decentralized organization. Management Accounting Research. 1997;8:459-480.\u003c/li\u003e\n\u003cli\u003eMcBain, R. K., Jerome, G., Warsh, J., Browning, M., Mistry, B., Faure, P. A. I., Pierre, C., Fang, A. P., Mugunga, J. C., Rhatigan, J., Leandre, F., \u0026amp; Kaplan, R. Rethinking the cost of healthcare in low-resource settings: The value of time-driven activity-based costing. BMJ Global Health. 2016;1(3):e000134. https://doi.org/10.1136/bmjgh-2016-000134\u003c/li\u003e\n\u003cli\u003eMcCreary, D. L., White, M., Vang, S., Plowman, B., \u0026amp; Cunningham, B. P. Time-driven activity-based costing in fracture care: Is this a more accurate way to prepare for alternative payment models? Journal of Orthopaedic Trauma. 2018;32(7):344\u0026ndash;348. https://doi.org/10.1097/BOT.0000000000001185\u003c/li\u003e\n\u003cli\u003eMcGowan, A. S., \u0026amp; Klammer, T. P. Satisfaction with activity-based cost management implementation. Journal of management accounting research. 1997;9:217.\u003c/li\u003e\n\u003cli\u003eMcLaughlin, N., Upadhyaya, P., Buxey, F., \u0026amp; Martin, N. A. Value-based neurosurgery: Measuring and reducing the cost of microvascular decompression surgery. Journal of Neurosurgery. 2014;121(3):700\u0026ndash;708. https://doi.org/10.3171/2014.5.JNS131996\u003c/li\u003e\n\u003cli\u003eMohammadpour, F., Basakha, M., Kamal, S. H. M., \u0026amp; Azari, N. Costing the outpatient rehabilitation services: time-driven activity-based costing approach. Cost Effectiveness and Resource Allocation. 2022;20(1):31.\u003c/li\u003e\n\u003cli\u003eMonazzam, A., \u0026amp; Crawford, J. The role of enterprise risk management in enabling organisational resilience: a case study of the Swedish mining industry. Journal of Management Control. 2024;35(1):59\u0026ndash;108. https://doi.org/10.1007/s00187-024-00370-9\u003c/li\u003e\n\u003cli\u003eMoscoso, J. N., \u0026amp; Palacios, L. Abductive reasoning: A contribution to knowledge creation in education. Cadernos de Pesquisa. 2019;49(171):308\u0026ndash;329. https://doi.org/10.1590/198053145255\u003c/li\u003e\n\u003cli\u003eNabelsi, V., \u0026amp; Plouffe, V. Breast cancer treatment pathway improvement using time-driven activity-based costing. International Journal of Health Planning and Management. 2019;34(4):e1736\u0026ndash;e1746. https://doi.org/10.1002/hpm.2887\u003c/li\u003e\n\u003cli\u003eOklu, R., Haas, D., Kaplan, R. S., Brinegar, K. N., Bassoff, N., Harvey, H. B., Brink, J. A., \u0026amp; Prabhakar, A. M. Time-driven activity-based costing in IR. Journal of Vascular and Interventional Radiology. 2015;26(12):1827\u0026ndash;1831. https://doi.org/10.1016/j.jvir.2015.07.007\u003c/li\u003e\n\u003cli\u003eOrganizaci\u0026oacute;n Mundial de la salud [PAHO/OPS]: Salud en las Am\u0026eacute;ricas. (19 septiembre, 2024). https://hia.paho.org/es/perfiles-de-pais/ecuador\u003c/li\u003e\n\u003cli\u003eRezaei, S., \u0026amp; Babaei, M. A systematic literature review on direct and indirect costs of triple-negative breast cancer. Cost Effectiveness and Resource Allocation. 2023;21(1):92.\u003c/li\u003e\n\u003cli\u003eS\u0026aacute;ez-Bond\u0026iacute;a, M. J., \u0026amp; Cort\u0026eacute;s Gracia, A. L. Action research in education: a set of case studies?. Educational Action Research. 2022;30(5):850\u0026ndash;864. https://doi.org/10.1080/09650792.2020.1866631\u003c/li\u003e\n\u003cli\u003eShields, M. D. An empirical analysis of firms\u0026rsquo; implementation experiences with Activity-Based Costing. Journal of Management Accounting Review. 1995;7:149-165. https://www.researchgate.net/publication/245322459\u003c/li\u003e\n\u003cli\u003eSisaye, S. Process Innovation and Adaptive Institutional Change Strategies in Management Control Systems: Activity Based Costing as administrative innovation. Advances in Management Accounting. 2003;11:251-285. https://doi.org/10.1016/S1474-7871(02)11011-2\u003c/li\u003e\n\u003cli\u003eThaker, N. G., Ali, T. N., Porter, M. E., Feeley, T. W., Kaplan, R. S., \u0026amp; Frank, S. J. Communicating value in health care using radar charts: A case study of prostate cancer. Journal of Oncology Practice. 2016;12(9):813\u0026ndash;820. https://doi.org/10.1200/JOP.2016.011320\u003c/li\u003e\n\u003cli\u003eThaker, N. G., Kudchadker, R. J., Incalcaterra, J. R., Bathala, T. K., Kaplan, R. S., Agarwal, A., Kuban, D. A., Frank, B. D., Das, P., Feeley, T. W., \u0026amp; Frank, S. J. Improving efficiency and reducing costs of MRI-Guided prostate brachytherapy using Time-Driven Activity-Based costing. Brachytherapy. 2022;21(1):49\u0026ndash;54. https://doi.org/10.1016/j.brachy.2021.05.012\u003c/li\u003e\n\u003cli\u003eValdivieso, H., Agreda, V: Cuentas Sat\u0026eacute;lite de Salud. Bolet\u0026iacute;n T\u0026eacute;cnico N\u0026deg;-01-2023-CSS. Raz\u0026oacute;n P\u0026uacute;blica. (2023, noviembre). https://www.ecuadorencifras.gob.ec/documentos/web-inec/Estadisticas_Economicas/Cuentas_Satelite/Salud/2022/3_Boletin_tecnico_CSS_2022.pdf\u003c/li\u003e\n\u003cli\u003eYin, R. Investigaci\u0026oacute;n sobre estudio de casos. Dise\u0026ntilde;o y m\u0026eacute;todos. Applied social research methods series. 1994;5(2):1-35. \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Universidad Técnica Particular de Loja","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Time-Driven Activity-Based Costing, TDABC, Case study, Healthcare sector ,arthroscopic surgery","lastPublishedDoi":"10.21203/rs.3.rs-7852347/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7852347/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e: Based on extensive literature on case studies using the Time-Driven Activity-Based Costing (TDABC) system. The TDABC is accuracy in cost calculation is achieved through the availability of records on resource use, the estimation of a patient's resource consumption time, and the estimation of the time spent on activities by the healthcare professionals involved from the beginning to the end of each episode of patient care. A case study was conducted at a private university hospital in Ecuador. In this study, TDABC was applied to arthroscopic surgical procedures.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e: The research used both qualitative and quantitative methods. The study examined economic information from 60 medical records of patients who had arthroscopic surgery at the hospital in the second half of 2022. Furthermore, the approach was prospective and retrospective in the information gathering process. Seven phases of cost determination in the healthcare sector were developed. The design of the process maps made it possible to identify in detail the time of resource consumption of the activities carried out during the complete care cycle of each patient undergoing this surgery.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e Cost estimation was performed separately between direct and indirect costs, and it was found that treating costs using TDABC can reflect the real cost absorption of the arthroscopy service and that, despite having been a pilot study, it generates important information for managerial decision-making.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e: It has been verified that determining costs under TDABC generates total costs higher than 50% for the arthroscopic surgery operations studied compared to the hospital's traditional costing system, which seems to indicate that it has considered all the costs related to them.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eJEL Classifications:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eM Business administration and Business Economics, Marleting, Accounting, Personal Economics. M4 Accounting and Auditing M41 Accounting.\u003c/p\u003e","manuscriptTitle":"Implementation and results of TDABC in arthroscopic surgery: case study in an Ecuadorian hospital","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-15 09:06:27","doi":"10.21203/rs.3.rs-7852347/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9d4ca24c-e3f2-40d6-a3b3-a2951ebcb414","owner":[],"postedDate":"October 15th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":56237265,"name":"Health Economics and Outcomes Research"}],"tags":[],"updatedAt":"2025-10-15T09:06:27+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-15 09:06:27","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7852347","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7852347","identity":"rs-7852347","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}