Blockchain-Enabled Battery Swapping in EVs: Multidimensional insights from Pareto, Affinity Diagram, QFD & Bibliometric analysis.

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Ajay Kapoor, Dr. Jagdeep Singla This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6498261/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 The transformation of energy replenishment by the rapid adoption of electric vehicles (EVs) as a sustainable alternative to traditional internal combustion engine vehicles has created new challenges. Conventional charging methods are often inefficient due to long charging times, range anxiety, and the uneven distribution of charging infrastructure. Battery swapping has emerged as a promising solution, offering reduced downtime, optimized battery lifecycle management, and enhanced energy efficiency. However, the successful implementation of battery swapping faces multiple challenges, including transaction security, battery ownership traceability, and interoperability among EV manufacturers. Blockchain technology has gained significant attention as a transformative tool to address these challenges by providing a decentralized, transparent, and tamper-proof framework for managing battery swaps. By leveraging smart contracts, blockchain can automate battery exchange transactions, ensure data integrity, enhance battery tracking, and establish trust among stakeholders in the EV ecosystem. Despite its potential, research on blockchain-enabled battery swapping remains fragmented, necessitating a comprehensive review of existing studies. This study conducts a multi-level literature review using Pareto, Affinity, QFD, and Bibliometric analysis to identify the most frequently used keywords, cross relationship, and QFD diagram to understand customer requirements and Critical to the Quality (CTQ) and lastly to examine the research trends, key contributions, and future directions in blockchain applications for battery swapping in EVs. The analysis identifies influential publications, emerging themes, and technological advancements, offering valuable insights for researchers, policymakers, and industry stakeholders. The findings highlight the potential of blockchain to revolutionize EV battery management and pave the way for more secure, efficient, and scalable battery-swapping networks. Blockchain Battery Swapping Electric Vehicles Smart Contracts Decarbonization Decentralized Digitalization Pareto analysis Affinity diagram Quality Function Deployment (QFD) Bibliometric Analysis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Figure 14 1. Introduction The global transition toward sustainable transportation has significantly accelerated the adoption of electric vehicles (EVs)(Hua et al., 2018). With growing concerns over climate change, depleting fossil fuel reserves, and increasing urban air pollution, EVs have emerged as a viable alternative to traditional internal combustion engine vehicles. Governments worldwide are implementing stringent emission regulations and offering financial incentives to promote EV adoption, leading to a surge in EV sales and infrastructure development(Bhattacharyya & Thakre, 2021). However, despite these advancements, the widespread deployment of EVs continues to face substantial challenges, particularly in energy replenishment. Globally, 25% of energy consumption is on transportation accounts, and 23% contributes to total carbon dioxide emissions (IEA, 2009; U.S. EIA 2017). Further Research reports stated that road transport plays a significant role in carbon dioxide emission, which is 75–95% of the transport sector (Bhat, F. A., & Verma, A. 2023) Additionally, the sector faces several challenges: limited fossil fuel availability and reserves, Volatile fuel prices, impact on the environment due to increased emissions, and climate change. Recognizing perceived risks, many countries globally, including India, have decided to explore alternate sources of energy, reduce their dependence on fossil fuels dependence, and cut greenhouse impact on the environment gas emissions (Ministry of Environment, Forest, and Climate Change, Government of India 2022; United Nations Climate Change 2016). The majority of Indian households own at least one two-wheeler as the primary mode of transportation. In contrast, only 7.5% of the population own a four-wheeler (International Institute for Population Sciences and ICF 2021). A similar trend was observed in other parts of developing Asian countries where at least one-wheeler (Jindel et al., 2022) is owned by 80% of households in Malaysia, Indonesia, Vietnam, and Thailand. India, China, and Indonesia have also shown trajectory growth due to increase per capita income (Sharma, 2021) and as households are looking for affordable personal transport (Kresnanto, 2019). In 1990, after the globalization of Indian policy and now India became one of the largest manufacturing hubs and markets for two-wheelers as well as wheelers, and more than 70% of vehicles registered in India in this category (TIFAC and NITI Aayog 2022). India has witnessed massive growth in sales of motorized vehicles in the past two decades (MoRTH 2020), increasing from 50 million to 300 million. In India, two-wheelers & four-wheeler vehicles contribute to more than 70% of motor vehicles on the road. About half of the Indian population own at least one two-wheeler, while only 13- 14 % own four-wheeler vehicles. These vehicles, including motorcycles, cars, scooters, mopeds, and auto three-wheelers, have most of the construction of the engine room on either internal combustion engines using petrol, diesel CNG, or electric motors. Additionally, due to a lack of a local mode of transportation or poor road connectivity, two-wheeler vehicles serve as a vital mode of transport. The current transportation sector mainly relies on fossil fuels; this rapid growth has hurt the country’s GDP as India is importing oil from other parts of the world, and vehicle emissions also hurt the environment. Due to the high consumption of oil use and depletion of oil wells, the automobile industry is moving towards electricity to minimize the economic impact and exploring eco-friendly alternate fuel options. Transitioning and exploring electric vehicles is considered a key game changer, and to support this revolution, various policies are refined, and long-term plans are created for the smooth execution of electric vehicle projects. The topic of research aligns with a new concept of smart energy, which is guided by decentralization, decarbonization, and digitalization. As Blockchain technology works on the distributed ledge, it can provide Immutable, transparent, and decentralized tracking of battery usage, swapping, and secure payment transactions, creating an efficient and trustworthy network amongst all stakeholders. This technology-based innovation helps an eco-friendlier environment and decentralized energy distribution systems with real-time data monitoring, visibility, and efficient balancing of power with the help of smarter energy management systems, which is an important element in the conceptualization of evolving policy for the EV sector. The concept of this transformation can be explained through three key pillars (Figure 1): Decentralization, decarbonization, and digitalization (Cali et al., 2021; Parsa et al., 2022). which is considered a revolution in the power distribution program(Table 1). It will also help in sustainable growth and reserve fossil fuel for future generations Table 1: Detail description of three key pillars D1 Decarbonization Reducing Emissions: The adoption of EVs will help decarbonize the transportation sector and produce zero emissions, minimizing CO2 and other harmful gases. Renewable Energy Integration: As major renewable sources of generating electricity grid are solar and wind, Electric vehicles can play a vital role in contributing to the overall decarbonization process by adopting eco-friendly energy for charging. Policy Support: Governments are conceptualizing policies for the adoption of EVs and expecting individual contributions to decarbonizing the transportation sector, which includes mandates, subsidies, and investments in infrastructure D2 Decentralization Distributed Generation: As part of the decentralized energy strategy, where EV charging stations are charged by solar panels on homes and businesses, it will help to reduce the reliance on centralized power grids and work as an independent source of energy for Electric charging station EVs as Distributed Resources: Electric charging stations have more flexibility and help to enhance grid stability. EV stations, if needed, act as distributed energy resources, contributing to grid balancing by charging and discharging electricity. Smart Charging: Technology-based smart charging will help optimize EV charging and create flexibility to toggle between grid power and renewable energy based on power availability, as well as provide support in grid stability and decentralization. D3 Digitalization Charging Infrastructure Digital technologies will help manage demand effectively and ensure efficient energy distribution. Data Analytics and Optimization Digitalization enables data-based decision, analysis, and simulation for EV charging patterns to optimize and predict grid demand based on sessional impact, help decision cost-based utilization of power-based power grid vs. renewal source, and enhance the efficiency of the system. Blockchain Technology Blockchain technology can be used to create transparent payment systems and secure and immutable energy trading systems, facilitating peer-to-peer energy sharing through the smart contract feature of Blockchain However, there are some constraints to adopting electric vehicles, which are primarily related to batteries. Buyers consider evaluating buying decisions based on three factors: first, charging time, and generally, an EV takes significantly longer charging time compared to refueling a gasoline vehicle. Second, the anxiety of driving or fear of driving as, over time, battery capacity declines, which has an additional financial impact on customers. Last, although most countries are working on it and creating more charging points, charging infrastructure is limited in terms of electric vehicle growth. As a result, many people are still hesitant to adopt electric vehicles and want to continue with gasoline-powered cars. One of the primary barriers to EV adoption is the inefficiency of conventional charging methods. Traditional charging infrastructure requires prolonged charging times, which can range from several hours with alternating current (AC) chargers to at least 30 minutes with direct current (DC) fast chargers. Additionally, range anxiety—the fear of running out of battery charge before reaching a charging station—remains a critical concern for EV users.(Jin et al., 2019) The uneven distribution of charging stations and grid dependency further exacerbate these challenges, creating energy supply and demand managementbottlenecks. In response to these limitations, battery-swapping technology has gained attention as an alternative solution for ensuring fast, reliable, and efficient energy replenishment for EVs. To address these challenges, the automobile industry has been working with an internal research development team or external experts for a long time to develop effective mechanisms for a higher adoption rate of electric vehicles, which will be more convenient, efficient, and customer friendly. With time, lots of innovation, and research on battery technology, the automobile industry has positioned electric vehicles (EVs) as a strong alternative to internal combustion engines running on traditional gasoline. Several benefits are attached to electric cars, which are aligned with the sustainable growth of an organization's economic, environmental, and social sectors, helping to reduce noise pollution, zero emissions, and no direct greenhouse gas output. Industry leaders have proposed an alternative solution, Battery swapping technology, to address the time-consuming battery charging process and fear of driving with minimum investment in infrastructure. Nevertheless, battery swapping is a cost-effective solution without any additional cost for purchasing a new battery, and it will also help users save time on charging the battery. Battery swapping is a process where a depleted EV battery is replaced with a fully charged one at specialized swapping stations. This approach eliminates waiting times associated with conventional charging, allowing vehicles to resume operation in just a few minutes (Chen et al., 2024). Moreover, battery swapping offers additional benefits such as optimized battery lifecycle management, reduced stress on the power grid, and the potential for battery standardization across different vehicle manufacturers (Cheng et al., 2021). However, despite its advantages, widespread implementation of battery-swapping systems is hindered by several technical, financial, and operational barriers. Key challenges include ensuring battery ownership traceability, standardizing battery designs, managing transaction security, and maintaining transparency in battery usage history (Al-Saif et al., 2021). To address these issues, blockchain technology has emerged as a revolutionary tool capable of enhancing the efficiency, security, and transparency of battery-swapping networks. Blockchain operates as a decentralized and immutable digital ledger, ensuring that all transactions related to battery swaps are recorded in a transparent and tamper-proof manner(Al-Saif et al., 2021). By integrating smart contracts—self-executing agreements programmed to trigger predefined actions—blockchain technology enables automated, trustless, and fraud-resistant battery exchange processes. This ensures that users are billed accurately based on battery usage, while also preventing data manipulation and unauthorized access. Furthermore, blockchain enhances battery lifecycle management by tracking real-time battery health, ownership records, and charging cycles, ensuring that consumers receive high-quality, reliable battery services (Mo et al., 2024). In Figure 2 depicts the process of the battery swapping system and (Table 2) explain full process: Table 2: Process of battery swapping S.no Process Description of process Responsibility 1 Arrival at the Swap Station When an electric vehicle owner reaches a battery station with a depleted battery, the driver requests an attendant or an automated system for battery swapping. Vehicle owner 2 Battery inspection A quick inspection of the vehicle's battery by the attendant or system is needed to ensure it is in good condition, or any damage, and the owner's past history. If all parameters are found satisfactory, give consent for swapping. If inspection parameters do not meet eligibility criteria, request to explore charging options. Inspection Attendant 3 Removal of battery Post-inspection of battery is complete; the depleted battery is removed by a specialized inspector or through an automated process from the vehicle. Inspector 4 Swapping/ Replacement of Battery A fully charged battery pack from the battery bank placed at the swapping station is swapped with the depleted one. The whole process is designed to be simplified and efficient. Additionally, the process is similar to the refueling of gasoline,and the process does not take much time to swap. Inspector 5 Payment and Departure The vehicle owner settles the bill for battery swapping service, and once the payment is processed, after the swap the battery driver can enjoy a ride without range anxiety. Vehicle owner Source: Author’s own Creation Blockchain technology can play a pivotal role in the efficient management of battery-swapping systems for electric vehicles. By leveraging the unique principles of blockchain, such as shared ledger, immutability consensus, and transparency, to address challenges in executing the battery-swapping process as shown in Figure 3 (Huang et al., 2021). Despite its potential, research on the integration of blockchain in battery swapping for EVs remains in its nascent stages. Existing studies have explored various applications of blockchain in energy trading, vehicle-to-grid (V2G) interactions, and decentralized power management, but a comprehensive understanding of its role in optimizing battery-swapping infrastructure is still developing. To bridge this knowledge gap, this study conducts a bibliometric analysis to examine the evolving research landscape on blockchain applications in EV battery swapping. By analyzing key trends, influential publications, emerging research themes, and technological advancements, this study aims to provide valuable insights into the current state of research and the future directions for blockchain-enabled battery-swapping systems. The findings of this study will help stakeholders including policymakers, researchers, EV manufacturers, and energy providers develop more effective strategies for integrating blockchain technology into EV infrastructure, ultimately fostering a more sustainable and efficient mobility ecosystem 2. Theoretical framework and Literature review Theories provide a structured foundation for understanding the adoption, implementation, and challenges associated with blockchain-enabled battery swapping in electric vehicles (EVs) . The theoretical framework for this study is based on three core concepts : Diffusion of Innovation (DOI) Theory , Transaction Cost Theory (TCT) , and Blockchain Trust Model . These theoretical perspectives help identify barriers, benefits, and strategic pathways for successful implementation (Huang et al., 2021). DOI theory explains how new technologies and ideas spread within societies and industries . It highlights the barriers and facilitators of blockchain adoption in battery swapping and emphasizes the need for industry-wide collaboration to drive large-scale implementation(Dadashzada et al., 2024). Transaction Cost Theory (Williamson, 1981) focuses on minimizing the costs associated with exchange, monitoring, and enforcement in economic transactions. In the context of battery swapping , blockchain technology reduces transaction costs by eliminating intermediaries, ensuring secure transactions, and automating smart contracts (Chen et al., 2024) . TCT underscores how blockchain enhances efficiency by lowering transaction costs in battery-swapping systems. Trust is a critical factor in blockchain adoption. The Blockchain Trust Model (Swan, 2015) emphasizes how decentralization, consensus mechanisms, and immutability enhance security and trust in digital transactions. The Blockchain Trust Model reinforces the reliability and security advantages of using blockchain for battery-swapping networks (Hua et al., 2018) . 3. Objectives RQ1-To analyze the existing literature on the application of blockchain technology in battery swapping for electric vehicles (EVs) through a Pareto analysis. RQ2-To identify common themes and synthesize, organize, cluster, and relationship insights from the literature through an Affinity diagram. RQ3-To create a Quality Function Deployment (QFD) house, understanding the Voice of customers (VOC) to the Voice of process(VOP) and the linkage between Blockchain technology and Industry Needs. RQ4-To identify key research trends, influential authors, and leading publications in the domain of blockchain-enabled battery swapping for EVs. RQ5-To explore the evolution of research themes and emerging areas within blockchain-based battery-swapping solutions. RQ6-To assess the impact of blockchain on efficiency, security, and scalability in battery swapping networks and challenges 4. Research Methodology The exploration began by identifying relevant academic papers using a keyword ELECTRIC VEHICLE, BATTERY, SWAPPING, CHARGING, EV, and BLOCKCHAIN in two major scientific databases: Web of Science (WOS) and Scopus to ensure broad coverage of the subject area. The preliminary search retrieved a total of 316 research papers , encompassing a wide range of studies related to blockchain, battery swapping, and EV charging infrastructure. To refine the dataset and ensure relevance, a multi-stage filtering process was applied, including the Elimination of duplicate papers from the two databases. We e xcluded outdated studies, only papers published from 2019 onward were considered. Removal of inaccessible papers , including those with limited access or without full-text availability. Screening for topic relevance to ensure alignment with the research focus on blockchain-driven battery swapping and charging solutions for EVs. After the refinement process, 32 high-quality papers were identified as the most relevant and up-to-date sources for this study, shown in figure 4. These selected papers provide critical insights into blockchain integration for battery swapping, key challenges, technological advancements, and research trends in the field . By leveraging a bibliometric analysis of these selected studies, this research aims to map the current knowledge landscape, highlight emerging themes, and identify research gaps in blockchain-enabled battery swapping and charging for EVs. This study aims to leverage blockchain technology for efficient management of battery swapping in electric vehicles (EVs), which has a multi-level analytical approach that is an integral part of technological innovation. A multi-level analysis is used to explore the key factors that influence the user in the adoption and effectiveness of the deployment of blockchain technology in the EV battery-swapping process. This research is based on the comprehensive literature review of 32 selected research papers funneling multiple papers from various databases. An analysis approach was used, such as Pareto analysis, Affinity diagram, Quality Function Deployment (QFD), and Bibliometric analysis. First, Pareto analysis was used to identify the most frequently used keywords, and the approach, based on the 80/20 rule , helps prioritize key research themes by recognizing that 80% of the focus areas stem from 20% of the keywords. Second, the Affinity Diagram was used to identify common themes and synthesize, organize, and cluster insights from the literature. Third, Quality Function Deployment (QFD) , Linking Blockchain to Industry Needs, understanding the Voice of customers(VOC) to the Voice of process( VOP), relative study with and without blockchain, and bridging the gap between industry challenges and blockchain solutions. Fourth and last, the Bibliometric analysis is used for thematic analysis, co-author collaboration, citation trends, and publication trends within the domain of blockchain in EV battery swapping. 5. Analysis I Pareto analysis Pareto analysis was conducted on 32 selected research papers to identify the most frequently used keywords. Based on the 80/20 rule, this approach helps prioritize key research themes by recognizing that 80% of the focus areas stem from 20% of the keywords. The analysis revealed that the dominant keywords—Blockchain, Battery, Electric Vehicle (EV), and Charging—account for 80% of the occurrences , highlighting their central role in the research domain. Additionally, keywords such as Security, Privacy, and Frameworks frequently appeared, emphasizing blockchain's technical and adoption-related aspects in battery-swapping systems . By ensuring that the selected papers align with these core themes, Pareto analysis( Figure 5 ) validates their relevance and comprehensiveness . The keyword distribution not only reflects the primary research Focus but also provides diverse perspectives for a deeper understanding of blockchain-based battery management in EVs . II Affinity diagram Additionally, an affinity diagram is used to find the relation and common theme used in this research domain. Affinity is a tool used to visualize & organize ideas, information, and data grouping based on their common thread of relationships (figure 6). It helps to structure their presentation by identifying patterns, themes, and trend information. Figure 6: Affinity diagram Data from various sources or research papers are used to organize common themes, key concepts, research findings, and established relationships. It will also help the researcher to group similar findings and establish relationships under a common theme for quick analysis of data. The affinity diagram helped organize research topics, key themes, and relationships from 32 papers on the use of blockchain technology in electric vehicles (EVs) and battery swapping. In the literature review, the common themes identified are efficiency, security, application scalability, and fairness in EV battery management and charging. Efficiency: The affinity diagram shows a strong relationship between “efficiency” across the 32 papers. In this context, “efficiency” emphasizes various aspects, such as efficient ways to reduce the battery swapping process, charging time, and optimizing energy consumption. The literature review presented vital insight into how blockchain technology can be leveraged to streamline these processes efficiently with more cost-effective battery-swapping operations. According to Florea, (2020) discovered that blockchain technology embedded with IoT would be an innovative & smart solution for efficient management of energy in EV battery management. Security: Security is another central theme emphasized in the affinity diagram. According to (Cheng et al., 2021) developed the concept a privacy-preserving authentication protocol for EV battery swapping based on intelligent blockchain technology for efficient swapping operations and secure system and discussed that blockchain technology has vital features in enhancing the security of effective battery management in EV and charging systems. This includes securing payment transactions, maintaining the confidentiality of user data, and ensuring trust in the charging infrastructure. Transparency: Transparency is also identified as an essential element in several papers; which revealed the use of blockchain technology based on the Ethereum application in IoT based solutions for battery refueling in electric vehicles and highlighted potential benefits to enhance secure transactions and transparency in the network (Chen et al., 2024). Focusing on the use of blockchain technology in electric vehicles for the management of batteries can effectively manage records of all transactions in the network during the operation of battery management; additionally, it will increase trust in stakeholders and amongst stakeholders for efficient management of the electric vehicle. Process improvement & operational efficiencies: Many papers highlighted that operational efficiency or process improvement can be achieved with the help of blockchain technology in EV battery swapping and charging stations. According to (Zhang et al., 2024) researched the leverage of blockchain technology to optimize EV charging scheduling, shared strategies to enhance charging efficiency and grid integration, and highlighted that can remove intermediates, reduce costs, streamline operations, and improve customer experience through traceability and transparency in the system, as blockchain works on a distributed ledger where nodes are well connected. Similarly, (Chen et al., 2024) focused on consumer willingness to use battery swap services for EVs, highlighting refueling convenience in battery swapping and minimizing range anxiety in electric mobility. Technology–Based Solutions: Another common theme that popped up to leverage blockchain technology in effectively managing battery swapping in Electric vehicles, and it is an organization strategy for intelligent charging system-based algorithms and technologies, leading to cost optimization, more efficiency, trust, and sustainable charging practices. Additionally, leveraging the technology will help scale charging infrastructure efficiently. Some papers specifically focus on privacy in the overall system for secure payment solutions for EV charging. According to (Ada et al., 2021) enlightened that blockchain technology has the potential for effective battery refueling of electric vehicles and emphasized its potential in ensuring transparent and secure transactions. It also discussed the key principle of blockchain technology ie cryptography, which can ensure privacy, confidentiality, and secure and intelligent digital payments shown in figure 7. IV Quality Function Deployment( QFD) Quality function deployment (QFD) is a structural approach to interpret the voice of the customer to the technical requirements for the conceptualization of product design or technical solution, or it is used to convert VOC(voice of the customer) to VOP(voice of process). The QFD framework helps address customer needs, beginning with the House of Quality matrix(Jaiswal, 2012. It will also help analyze how blockchain technology can effectively enhance battery swapping in EVs. Steps Data Collected (Voice of Customer - VOC) is collected from 25 experts through interviews and focus groups on a Likert scale, and secondary data is collected from various literature, digital platforms, and competitor benchmarking. After data mining, unstructured data is cleaned, and a Pareto analysis tool is used to prioritize key expectations or requirements of customers viewpoints. Listed all the customer requirements/objectives (Customer Requirements "Whats"). The making of the House of Quality kept customer requirements ("Whats") on the left side of the house. “WHAT” These are all critical requirements extracted from collected data that are important to the customer and prioritized based on importance to the customer, i.e., essential, fundamental, and latent needs. R1. Fear of driving related to distance – Addressing range anxiety by ensuring the availability of battery swap stations or called fear of driving. R2. Charging time – How much time will it take to charge an Electric vehicle? The objective is to reduce compared to traditional charging. R3. Charging infrastructure – Enhancing accessibility and efficiency of battery swapping stations, i.e., deployment of more & more charging stations. R4. Economical driving – Reducing cost per km by optimizing battery utilization and comparing to internal combustion-driven power run on petrol/ Diesel or CNG R5. Minimal refueling – Ensuring quick, hassle-free battery swaps with minimal disruption, i.e., time to swap the battery in an electric vehicle. “HOW” Below are identified Blockchain-enabled technical key features (“ How”) and mentioned on Top of House process parameters that impact customer requirement C1. Decentralized Battery Swap Ledger – Real-time tracking of battery availability and vital condition of battery C2. Smart Contracts for Swap Transactions – Automating payments and ensuring transparent billing i.e. it will create a secure network with the help of smart contract where stakeholders are well-connected C3. Battery Health & Usage Traceability – Ensuring transparency in battery degradation & ownership/ authentication of actual battery. C4. Interoperability Between Swap Networks – Enabling seamless cross-platform battery swaps, i.e., secure network for a hassle-free battery swapping process. C5. Predictive Maintenance Using AI & Blockchain – Reducing battery failures and enhancing reliability, i.e., all information related to the vital the batteries will be shared in the blockchain network for preventive action to enhance the driving experience of the customers. Draw a correlation matrix between customer requirement (“What”) in the vertical column and Blockchain-enabled technical key features (“ How”) in the horizontal Row Below are the scores used for the correlation The right side of the House is used for the relative study of processes, i.e., Traditional charging processes, Without Blockchain, and With Blockchain. Normally it is used to understand competitive space. On the left side and bottom of the House – Calculated Relative weight % On top of the house, created a relation matrix between technical requirements (“How”)ie Interlinkages between Blockchain-enabled technical key features. Considering Strong positive (++), Positive (++) Medium( r ), and low relationship (-) Interpretation Right Side of House The right-side calculations help us understand the most critical customer requirements based on their weighted scores. Reducing charging time (23.81%) is the most important element from the customer's point of view, where fear of driving, i.e., range anxiety (21.43%) are also the most critical pain points for customers using Electric vehicles where Blockchain technology can prioritize fast, making the system more efficient, and Secure swapping transactions. Charging infrastructure accessibility (19.05%) and seamless swap experience (19.05%) are also important for customers, highlighting the need for interoperability and transparent swap records. Economical driving (16.67%) is important but ranks the lowest, showing that cost/km is crucial as long as a long range of driving and speed is available. Bottom-Side of House The bottom-side calculations help recognize that the degree to which blockchain-based solutions contribute the most to fulfilling customer requirements. Predictive Maintenance (31.25%) and Battery Health Traceability (25.00%) are considered the two most important technical solutions. They help reduce range anxiety and, optimize battery life, manage the process in the most efficient and secure swaps. Smart Contracts (18.75%) and Interoperability (18.75%) are also considered as equally important. Interoperability helps in a seamless swap experience, while Smart Contracts enhance trust, automate & secure payments, and minimize disputes. Decentralized Ledger (6.25%) is shown as the least impactful, but it creates secure network traceability, auditability, and financial security. Left-Side of House Details mentioned on the left side of the house are used to present a competitive analysis, whereas, in this research paper, this analysis compared traditional charging, non-blockchain battery swap, and blockchain-enabled battery swap against key customer needs. As per customer expectations, traditional charging has significant drawbacks, such as poor accessibility, slow charging time, and limited cost benefits, which have a negative impact on Net Promoter Score (NPS). Technology-based (Non-blockchain ) battery swapping improved the battery swapping process, but there are limitations related to transparency and security. Additional range anxiety or interoperability issues are still unaddressed. A blockchain-enabled battery swap is much better than both alternative solutions. Smart contracts and distributed ledgers used in Blockchain help to provide a more secure, efficient, cost-effective, and robust swapping process. It creates more trust, digitalizes battery ownership records, makes more transparent and Immutable transactions, and creates interoperability across networks. The Top Roof The Top of House of Quality (HOQ) represents interlinkages or correlation relationships between the technical Blockchain-enabled feature requirements (How), and the relationship denoted by Strong positive (++), Positive(++), Medium( r ), and Low relationship (-) between different technical aspects. From the top house, Predictive Maintenance Using AI and blockchain has been highlighted as having the strongest relationship with most other technical factors. Smart contracts are the key principle of Blockchain; deployment of smart contracts for payment transactions for swapping and interoperability within swapping networks have expressed a very strong correlation, and they need to be deployed together for an efficient battery swapping process. All Blockchain-enabled features/technical factors positively influence each other; this represents that all technical requirements are an integral part of the swapping approach, which will help maximize efficiency. Interpretation of the QFD diagram(Figure 8 ) demonstrated that in the battery swapping process in electric vehicles, the key features of blockchain smart contracts used for interoperability, decentralized ledgers, and AI-based predictive maintenance are correlated with each other. It also observed that highly interdependent factors will create an ecosystem for efficient management of battery swapping. The strong relationships represent that these elements denote an integrated approach, which creates more trust in the battery-swapping network and makes the system more robust and efficient. IV Bibliometric Analysis Bibliometric studies focus on and analyze hundreds or thousands of research papers and create keyword clouds, trends in the topic, citations, co-author collaboration, and the number of publications. a) Keyword Cloud & Tree Map analysis : In an analysis of 32 research papers and various articles with the help of the keyword cloud and tree map analysis, it appeared that word Electric vehicle were found in 10% and Charging(batteries) 8% where Blockchain 9%, Battery swapping 6 %, Battery 9 % and IOT 3% which keywords are very close to research subject topic and consider as a trending area for research(Figure 9). b) Most Relevant Sources : In the field of research, publishing plays a pivotal role, and they collaborate with various sources and create the right platform for researchers to publish papers on trending topics successfully. On bibliometric analysis of selected documents from Scopus data, it was observed that the most productive journals and authors mentioned in Figure 10 were the top ten journals that published the most trending studies. It is depicted that “IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS” is in the first position and has published three papers since 2018 and second “IEEE INTERNET OF THINGS JOURNAL” published two and “IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, “CASES ON CIRCULAR ECONOMY IN PRACTICE,” DIANLI ZIDONGHUA SHEBEI/ELECTRIC POWER AUTOMATION EQUIPMENT” and other rest published one paper each. The maximum number of documents published on battery swapping in electric vehicles using blockchain was observed in keyword analysis. c) Most productive countries: Six countries have taken the lead in bibliometric analysis and contributed significantly to blockchain battery swapping. Figure 11 represents scientific production on the subject topic according to the countries. The corresponding authors from the rest of the countries, CHINA has the highest, i.e., 169 articles. This can be explained by CHINA being considered a hub of batteries, working on alternative energy sources, and researching new developments in electric vehicles. CHINA is followed by INDIA, USA, ROMANIA, DENMARK, and UNITED KINGDOM, with 13, 12, 12, 8, and 7 articles in the top six. This shows that CHINA and INDIA countries have published research articles on battery swapping using blockchain and a lot on technology-enabled automobile. d) Co-Occurrence Analysis: Keyword Co-Occurrence Analysis is a visual graphical tool representing the association or relationship between keywords of one source of the document to another. In Bibliometric analysis, Rstudio extracts keywords from abstracts, titles, or articles from the corpus of documents and populates keywords in different colors and links amongst each other. It also formed a cluster based on the frequency of occurrence of keywords. These clusters are called word co-occurrence network maps or semantic networks as they create different cluster colors and represent the relationship between one document and another. The colors of clusters provide insight into trending topics, themes, and interlinkages within a specific field of study. A “Total Link Strength” evaluates the strength of relationships between keywords, and higher total link strength shows stronger associations or co-occurrences within a network of keywords and gives insight into the intensity of connection & keywords are more closely related to others within the dataset. A total of 83 keywords popped up during the bibliometric analysis. Eighteen unique keywords were repeated at least three times. The co-occurrence analysis is shown in Figure 10. There are ten items in the first cluster (red). Blockchain, block-chain, electric vehicle charging, authentication, centralized systems, data privacy, internet of things (IOT), Privacy, reliability, IoT, smart contract. The second cluster (Blue) has twenty-two items. These are electric vehicles, charging (batteries),battery swapping, secondary batteries, internet of things, battery, battery management systems, electric vehicle batteries, vehicle-to-grid, automotive batteries, electric power transmission networks, optimizations, charging infrastructures, charging station, decision making, electric vehicles (EVs), energy, fossil fuels, quality of service, scheduling sustainable development, vehicle technology. The keyword “electric vehicles” has been repeated 15 times and has 193 links Strength (Table 3). The highest total link strength after the “Electric Vehicle” is “charging (batteries).” “Charging Station” has been repeated 11 times and has 108 link strengths. The third place is the “battery swapping” keyword. “battery swapping” has been repeated nine times and has 22 link strengths. Table 3: Occurrence Analysis On Co-Occurrence Analysis, Blockchain, block-chain, electric vehicle charging, authentication, internet of things (IoT), Privacy, charging (batteries), battery swapping, secondary batteries, internet of things, battery, battery management systems, electric vehicle batteries are among the most preferred keywords. It is established from co-occurrence analysis based on three dimensions of quantitative analysis, i.e., Occurrence, Cluster, and Total linkage strength, that Blockchain can manage battery swapping in electric vehicles as it works the principle of distributed. e) Thematic map: Figure-13 shows that the number of words, 34, played a critical role in generating the thematic map with different colors & sizes of clusters, and on analysis, it was found that the minimum cluster frequency per thousand documents was observed as 15, and number of labels for each cluster as 4, on authors’ keywords identified from the extracted database. In the thematic map, there are four quadrants based on development degree(Y-axis) and relevance degree(X-axis): i) Emerging or declining themes, ii) Basic themes, iii) Motor themes, and iv) Niche themes. The blue cluster in Figure-13 shows that it has very high relevance and medium development, which includes keywords such as “charging (batteries),” “battery swapping,” “secondary batteries,” and “battery” that fall into Basic themes. Second, cluster red , which includes keywords such as "Automotive batteries," "Centralized systems," and "Electric vehicles (EVs)," falls into Niche themes and has high relevancy and low development. This means these topics have declining trends within the dataset regarding the importance or fall under niche themes, leading to specific research interests, etc. Next, clusters green and Beige which include keywords such as “Blockchain,” “Authentication,” and “Internet of Things” that fall into Motor themes with a high of a high degree of development and a higher degree of relevance, and last clusters Purple and orange, which include keywords such as “electric power transmission networks,” “electric vehicle charging,” “ charging station” that fall into Declining/ Emerging themes with a low of a degree of development and low degree of relevance. From the above observation, the clusters green and beige fall under the Motor theme, which means much research has already happened, and a corpus of research papers or journals is available in various data sources. Secondly, cluster blue falls under the top quadrant of the Basic theme, has the highest relevance, and is moving towards high development, which indicates that much research is happening in this domain and showing a trend that it will move from a Basic theme to a Motor them much time and the cluster is well connected with subject research area. The cluster red falls under niche themes and has high relevance, but development is low, and more focus is required in research on this cluster, which shows a promising trend that it will move from niche to motor theme. f) Authors collaboration network: Authors collaboration is another graphical representation that depicts the collaboration of an author with one or multiple authors and provides insight into the structure and dynamics of collaborations among researchers. Forty-eight authors collaborated, which is represented by the node. There are 10 clusters in the collaboration network, and Cluster 10 has the minimum number of two nodes, whereas Cluster 2 has the maximum number of nodes, i.e., 8. Another essential element is “Betweenness Centrality,” which measures how often one author plays the role of a bridge between other authors. In the author’s collaboration network, Authors "Li x"(19) in Cluster 1 and "Wu y"(28) in Cluster 2 have higher betweenness scores and play a significant role in connecting different parts of the collaboration network. The second element in the author’s collaboration network is “Closeness Centrality,” which measures the frequency of the interaction between one author and all other authors. Authors "Hua s"(11) in Cluster 4 and "Abouyoussef m"(1) in Cluster 10 have higher closeness scores, are located centrally within their respective clusters, and, due to closeness scores, help in efficient communication with other authors. The last leg is “PageRank centrality,” which represents the quality and number of collaborations based on the author. In this network, "Wu y"(28) in Cluster 2 and "Hua s"(11) in Cluster 4 Authors have higher PageRank scores, are considered more influential, and significantly impact the collaboration of their clusters. Interpretation of the Multi-Level Analysis The interpretation of multi-level analysis emphasizes that each approach played a vital role. The constructive outcome was observed by combining Pareto Analysis, Affinity Diagram, Bibliometric Analysis, and Quality Function Deployment (QFD) in the role of blockchain technology in EV battery swapping. Additionally, it was observed that all approaches complimented each other and formed a unique integrated framework. Pareto Analysis served as the foundation based on the 80/20 rule for prioritizing important elements. It also helps spotlight key research themes by recognizing that 80% of the focus areas stem from 20% of the keywords and identifying the key features of blockchain technology and their applications for efficient management in EV battery swapping. Later, categorizing and organizing key themes with the help of the Affinity Diagram helped to establish relationships, logical connections, and structure for further analysis in the affiliation of blockchain. QFD (House of Quality) translated the Voice of the Customer to Voice of the Process ie, insights into practical, relative comparison, ie industry-relevant solutions and at top correlation with technical requirements, which are important for the customer point of Bibliometric Analysis supported these themes in different aspects like analyzing research impact, global trends, author co-collaborations, and publication trends, and comprehensive thematic analysis to understand i) Emerging or declining themes, ii) Basic themes, iii) Motor themes, and iv) Niche themes. Ensuring that the prioritization themes are aligned with global research patterns. Combining the outcome of all four approaches, a comprehensive, holistic view represents that blockchain technology can efficiently manage the battery-swapping process in the digital era. A data-driven approach embraces researchers, policymakers, and the implementation of organizational strategies in a competitive environment. Table 4: Combined analysis Tool Function How It Supports Others Common Outcome Pareto Analysis Using the 80/20 rule. It helps to identify the most frequently used keywords and key research themes Worked as a foundation and played a critical role in the identification of priority focus for Affinity Diagram, Bibliometric, and QFD analysis. Emphasizes critical factors related to blockchain for efficient management EV battery-swapping process Affinity Diagram Maps and develop correlations with research themes, papers, and keywords. Provided data organized for Bibliometric and QFD analysis. Identifies features of blockchain used in the battery-swapping process. QFD (House of Quality) Converts Voice of Customer (VOC) to Voice of process(VOP) and actionable technical solutions. Uses insights from Pareto, Affinity, and Bibliometric analysis. Prioritizes critical aspects of blockchain features for EV battery swapping. Bibliometric Analysis Analyzes thematic analysis based on emerging themes, Co-author collaborations, global trends, and research impact Helps to identify Critical To Quality(CTQ) from a customer point of view and prioritization for QFD diagram. Identifies global trends and gaps in Electric vehicles and blockchain research. 6. Challenges in Battery swapping process In the literature review, the author (Zhang et al., 2024)discussed the concept, architectures, and implementations of an EV battery-swapping system, highlighting the potential benefits and also highlighted challenges associated with battery-swapping in electric vehicles (EVs) and for successful deployment and adoption of the same. Much collaboration is required among stakeholders, technology partners, and regulators for standardized protocols, confidentiality, robust security measures, and simplified solutions. Some of the challenges are explicated below (Table 5). Table 5: Challenges in Battery Swapping Process S.no Challenges Detail 1 Interoperability A standard protocol and interface should be required for seamless battery swapping for different EV models and battery types. Blockchain works on the principle of the distributed ledger and can help to manage interoperability through close collaboration between industry, owners, and standard protocol. 2 Scalability As more and more owners are adopting electric vehicles and generating confidence that battery-swapping solutions are cost-effective, as volumes are increasing, the blockchain architecture should be scalable to manage the capacity of transactions with an effective consensus mechanism. 3 Security In a blockchain network, security is critical in managing sensitive information of owners, battery vitals, payment records, and payment instrument details to avoid any cyberattack and fraud in the battery swapping process. Confidentiality and security measures are essential to create trust in the network, and transactions are encrypted and authenticated with the help of blockchain principles. 4 Data Privacy In the battery swapping process, data privacy of EV owners, Geo-location, and usage patterns of battery is fundamentally essential. A thorough due diligence is required while designing a blockchain network to encrypt decentralized data used in the network. 5 Regulatory Compliance To comply with regulatory requirements for the effective implementation of the battery-swapping process, such as the Digital Personal Data Protection Act, and comply with guidelines, the owner’s financial credentials are essential. To ensure transparency, traceability, accountability, and compliance with these regulations, the design of blockchain solutions must be robust. 6 Cost Blockchain is a nasty technology, and battery swapping is a trending topic for research, which may involve substantial initial setup costs and high operating costs for the maintenance and management of a complete network. A full cost-benefit analysis is required for a long-term strategy to understand efficiency, productivity, and transparency and to outweigh these costs. 7 User Acceptance For the effective adoption of the battery-swapping process in electric vehicles, it is a challenge for owners and other stakeholders to understand the benefits of blockchain-based processes. More collaboration is required with all stakeholders to understand the benefits of technology (blockchain), which has the potential to secure security, interoperability, traceability, and transparency in the battery-swapping process. Source- Author’s own creation 7. Conclusion In conclusion, blockchain technology plays a significant role in effectively managing battery swapping in electric vehicles and can enhance trust among stakeholders’ efficiency, traceability, transparency, and security(Florea, 2020). This detailed sketch of the literature review gives insight into leveraging blockchain for effective battery swapping, key trending topics, thematic analysis, future direction, and limitations in existing research. Additionally, a multi-level analytical approach helps the researcher understand key features of blockchain technology in enhancing the efficiency of the battery-swapping process for electric vehicles (EVs). A comprehensive insight into Pareto Analysis, Affinity Diagram, Bibliometric Analysis, and Quality Function Deployment (QFD) established a structured framework to understand research trends and unsurfaced key challenges and helped prioritize blockchain applications. A small set of key research themes based on keywords such as security, traceability, and transaction efficiency were revealed by Pareto Analysis , which led the converse on blockchain-enabled battery swapping. The Affinity Diagram further emphasizes relationships and established clusters of these themes, suggesting insight into industry expectations and common concerns related to the deployment of technology QFD analysis further drew these insights into customer expectations and practical approaches and established a structural relationship between customer requirement(What) and key feature technology-driven solutions(CTQ), also helping to bridge the gap between theoretical research and the real-world EV battery-swapping process. Finally, The bibliometric analysis on battery swapping in electric vehicles using blockchain emphasized numerical analysis and graphical representation of the outcome of data by combining all research papers on the relevant subject area to establish a relationship among data. The analysis covers a range of key aspects of research, keyword analysis, citation analysis, co-authorship analysis, and global publication collaboration analysis, as well as four quadrants of thematic analysis about the transformation of basic or niche themes to motor themes. The analysis also highlighted the collaborative approach amongst authors and the interdisciplinary nature of research on trending topics. The Citation analysis highlighted that few papers have a high number of citations, positive impact, and influence on the academic community(Afjal, 2023). These papers play a critical role in building a robust foundation and deep understanding of battery swapping in electric vehicles using blockchain, shaping the future direction of research. The keyword analysis in Pareto analysis and bibliometric analysis reveals the common themes with the occurrence of keywords in various papers and trending topics in research on Battery Swapping in electric vehicles using blockchain. The key themes identified in the keywords analysis are Electric vehicles, Charging(batteries), Blockchain, Battery swapping, Battery, IOT, and others are efficiency, security, transparency, scalability, and emphasizing leverage of blockchain technology for effective management battery swapping process(Al-Saif et al., 2021). However, in the literature review, a few authors highlighted some of the challenges ie user acceptability, interoperability, scalability, privacy, confidentiality, and regulatory frameworks, that need to be addressed to understand the complete perspective of blockchain on the subject topic(Chen et al., 2024). It will also help the wider adoption of electric vehicles and give owners confidence about the anxiety of range, charging infrastructure, and charging waiting time. The comprehensive approach emphasized that blockchain technology has shown promising outcomes in enhancing transparency, operational efficiency, data security, and secure payment transactions in EV battery swapping. This integrated approach strengthens the comprehensive literature review process, and this also helps future research and provides a strategic direction in the adoption of blockchain technology for the evolving EV ecosystem and a viable solution. 8. Limitations and Future Directions Although there are some challenges and uncertainties, the literature emphasizes that blockchain technology can potentially transform the battery-swapping process in the electric vehicles industry. Researchers have highlighted that interdisciplinary collaborations amongst stakeholders will be able to address regulatory requirements with robust technical aspects, as well as more trust and secure peer-to-peer transactions in the network. Future research directions blockchain technology can be used for peer-to-peer energy trading and effective management of energy to minimize the leakage in the system, and also embedding emerging technologies like the Internet of Things (IoT), Machine learning(ML) and artificial intelligence (AI) can enhance the effectiveness of battery swapping services. Declarations Competing interests The authors declare that they have no competing interests. Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Author Contribution A.K. is a research scholar conducting a study on leveraging blockchain technology in the automobile supply chain management (SCM) domain. During an extensive literature review on blockchain in SCM, A.K. observed a sudden surge in electric vehicle (EV) adoption in India and identified three inherent challenges: range anxiety, long charging time, and inadequate charging infrastructure.Dr. J.S. guided the research around the innovative idea of battery swapping in EVs using blockchain technology. Given their background as mechanical engineers with experience in factory environments, A.K. and Dr. J.S. collaboratively approached the study systematically, including Pareto analysis, affinity diagrams, and by capturing the Voice of the Customer (VoC).Dr. J.S. provided strategic direction in the data collection process and the development of the Quality Function Deployment (QFD) diagram. A.K. further conducted a bibliometric analysis using the R software and the Bibliometrix package. The final manuscript was critically reviewed and approved by Dr. J.S. References Ada, N., Ethirajan, M., Kumar, A., KEk, V., Nadeem, S. P., Kazancoglu, Y., & Kandasamy, J. (2021). Blockchain technology for enhancing traceability and efficiency in automobile supply chain—A case study. Sustainability , 13 (24), 13667. Afjal, M. (2023). Bridging the financial divide: A bibliometric analysis on the role of digital financial services within FinTech in enhancing financial inclusion and economic development. 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Blockchain-enabled electric vehicle orderly charging optimization. Journal of the Operational Research Society , 75 (12), 2404–2420. https://doi.org/10.1080/01605682.2024.2320867 Additional Declarations No competing interests reported. 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-6498261","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":453671433,"identity":"01b984a7-4453-4b5e-a657-18f95b7cf5fb","order_by":0,"name":"Ajay 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5","display":"","copyAsset":false,"role":"figure","size":63270,"visible":true,"origin":"","legend":"\u003cp\u003ePareto analysis\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSource: Author’s own creation\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/04666d3e39813b059caa660c.png"},{"id":82353386,"identity":"ee9308d3-a6ea-4e7f-81a4-7b21835591e1","added_by":"auto","created_at":"2025-05-09 11:08:04","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":639349,"visible":true,"origin":"","legend":"\u003cp\u003eAffinity diagram\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/d478659e7aaec2a7fe173f8f.png"},{"id":82353394,"identity":"fb59c7d3-9191-49be-a55c-183f76c0cdec","added_by":"auto","created_at":"2025-05-09 11:08:04","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":186894,"visible":true,"origin":"","legend":"\u003cp\u003eThe blockchain-based solution for the proposed battery swapping and charging Source: Author’s own creation\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/a1c029ebe3a2f6b774252b5f.png"},{"id":82353420,"identity":"2e1993dc-4609-4739-82c0-df2ffaafd3ed","added_by":"auto","created_at":"2025-05-09 11:08:05","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":279326,"visible":true,"origin":"","legend":"\u003cp\u003eQuality Function House (QFD)\u003c/p\u003e\n\u003cp\u003eSource: Author’s own creation\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/f025f0a96ec8b853a7dbafb6.png"},{"id":82358372,"identity":"fe612f19-e4a8-4209-baf7-7a0bb364d3e3","added_by":"auto","created_at":"2025-05-09 11:24:04","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":352128,"visible":true,"origin":"","legend":"\u003cp\u003eKeyword analysis\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/e809f54a2267c4f1d0f8cf57.png"},{"id":82355884,"identity":"73738e7d-4624-4301-a54f-08280b9f3dcc","added_by":"auto","created_at":"2025-05-09 11:16:04","extension":"png","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":132082,"visible":true,"origin":"","legend":"\u003cp\u003eMost Relevant Sources\u003c/p\u003e","description":"","filename":"10.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/b2a606c312ab422204d034ff.png"},{"id":82355892,"identity":"9a0a6eeb-9324-40b1-a7ad-8eee7d487bcd","added_by":"auto","created_at":"2025-05-09 11:16:04","extension":"png","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":217509,"visible":true,"origin":"","legend":"\u003cp\u003eMost productive countries\u003c/p\u003e","description":"","filename":"11.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/7e17d3946d69af1c0227f8ed.png"},{"id":82355902,"identity":"538e557b-81a2-4eb8-9ee9-5cdef120c5b1","added_by":"auto","created_at":"2025-05-09 11:16:05","extension":"png","order_by":12,"title":"Figure 12","display":"","copyAsset":false,"role":"figure","size":359671,"visible":true,"origin":"","legend":"\u003cp\u003eCo-occurrence Network\u003c/p\u003e","description":"","filename":"12.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/c7155c8582add260354b7009.png"},{"id":82355887,"identity":"e3ac2711-4321-4168-9223-5a33764add63","added_by":"auto","created_at":"2025-05-09 11:16:04","extension":"png","order_by":13,"title":"Figure 13","display":"","copyAsset":false,"role":"figure","size":234240,"visible":true,"origin":"","legend":"\u003cp\u003eThematic map\u003c/p\u003e","description":"","filename":"13.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/dc5bc3cce19e4e41d7b67729.png"},{"id":82353409,"identity":"1f8f5758-baeb-44b9-9e73-bbd5511864ad","added_by":"auto","created_at":"2025-05-09 11:08:04","extension":"png","order_by":14,"title":"Figure 14","display":"","copyAsset":false,"role":"figure","size":166461,"visible":true,"origin":"","legend":"\u003cp\u003eAuthor’s collaboration\u003c/p\u003e","description":"","filename":"14.png","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/a6aa5103b53e64cc159cbb7a.png"},{"id":84774668,"identity":"7a2cc88a-baf6-4e1f-892a-39ca0a57909a","added_by":"auto","created_at":"2025-06-17 08:48:07","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5145492,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6498261/v1/43acbd4f-0c9f-4b13-aef4-6b8ebe30a8a0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Blockchain-Enabled Battery Swapping in EVs: Multidimensional insights from Pareto, Affinity Diagram, QFD \u0026 Bibliometric analysis.","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eThe global transition toward sustainable transportation has significantly accelerated the adoption of electric vehicles (EVs)(Hua et al., 2018). With growing concerns over climate change, depleting fossil fuel reserves, and increasing urban air pollution, EVs have emerged as a viable alternative to traditional internal combustion engine vehicles. Governments worldwide are implementing stringent emission regulations and offering financial incentives to promote EV adoption, leading to a surge in EV sales and infrastructure development(Bhattacharyya \u0026amp; Thakre, 2021). However, despite these advancements, the widespread deployment of EVs continues to face substantial challenges, particularly in energy replenishment.\u003c/p\u003e\n\u003cp\u003eGlobally, 25% of energy consumption is on transportation accounts, and 23% contributes to total carbon dioxide emissions (IEA, 2009; U.S. EIA 2017). Further Research reports stated that road transport plays a significant role in carbon dioxide emission, which is \u0026nbsp; 75\u0026ndash;95% of the transport sector (Bhat, F. A., \u0026amp; Verma, A. 2023) Additionally, the sector faces several challenges: limited fossil fuel availability and reserves, Volatile fuel prices, impact on the environment due to increased emissions, and climate change. Recognizing perceived risks, many countries globally, including India, have decided to explore alternate sources of energy, reduce their dependence on fossil fuels dependence, and cut greenhouse impact on the environment gas emissions (Ministry of Environment, Forest, and Climate Change, Government of India 2022; United Nations Climate Change 2016).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe majority of Indian households own at least one two-wheeler as the primary mode of transportation. In contrast, only 7.5% of the population own a four-wheeler (International Institute for Population Sciences and ICF 2021). A similar trend was observed in other parts of developing Asian countries where at least one-wheeler (Jindel et al., 2022) is owned by 80% of households in Malaysia, Indonesia, Vietnam, and Thailand. \u0026nbsp;India, China, and Indonesia have also shown trajectory growth due to increase per capita income (Sharma, 2021) and as households are looking for affordable personal transport (Kresnanto, 2019).\u003c/p\u003e\n\u003cp\u003eIn 1990, after the globalization of Indian policy and now India became one of the largest manufacturing hubs and markets for two-wheelers as well as wheelers, and more than 70% of vehicles registered in India in this category (TIFAC and NITI Aayog 2022). India has witnessed massive growth in sales of motorized vehicles in the past two decades (MoRTH 2020), increasing from 50 million to 300 million.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn India, two-wheelers \u0026amp; four-wheeler vehicles contribute to more than 70% of motor vehicles on the road. About half of the Indian population own at least one two-wheeler, while only 13- 14 % own four-wheeler vehicles.\u003c/p\u003e\n\u003cp\u003eThese vehicles, including motorcycles, cars, scooters, mopeds, and auto three-wheelers, have most of the construction of the engine room on either internal combustion engines using petrol, diesel CNG, or electric motors. \u0026nbsp; Additionally, due to a lack of a local mode of transportation or poor road connectivity, two-wheeler vehicles serve as a vital mode of transport.\u003c/p\u003e\n\u003cp\u003eThe current transportation sector mainly relies on fossil fuels; this rapid growth has hurt the country\u0026rsquo;s GDP as India is importing oil from other parts of the world, and vehicle emissions also hurt the environment. Due to the high consumption of oil use and depletion of oil wells, the automobile industry is moving towards electricity to minimize the economic impact and exploring eco-friendly alternate fuel options.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTransitioning and exploring electric vehicles is considered a key game changer, and to support this revolution, various policies are refined, and long-term plans are created for the smooth execution of electric vehicle projects.\u003c/p\u003e\n\u003cp\u003eThe topic of research aligns with a new concept of smart energy, which is guided by decentralization, decarbonization, and digitalization. As Blockchain technology works on the distributed ledge, it can provide Immutable, transparent, and decentralized tracking of battery usage, swapping, and secure payment transactions, creating an efficient and trustworthy network amongst all stakeholders. This technology-based innovation helps an eco-friendlier environment and decentralized energy distribution systems with real-time data monitoring, visibility, and efficient balancing of power with the help of smarter energy management systems, which is an important element in the conceptualization of evolving policy for the EV sector.\u003c/p\u003e\n\u003cp\u003eThe concept of this transformation can be explained through three key pillars (Figure 1): Decentralization, decarbonization, and digitalization (Cali et al., 2021; Parsa et al., 2022). which is considered a revolution in the power distribution program(Table 1). It will also help in sustainable growth and reserve fossil fuel for future generations\u003c/p\u003e\n\u003cp\u003eTable 1: Detail description of three key pillars\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 42px;\"\u003e\n \u003cp\u003eD1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 127px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDecarbonization\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 454px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eReducing Emissions:\u0026nbsp;\u003c/strong\u003eThe adoption of EVs will help decarbonize the transportation sector and produce zero emissions, minimizing CO2 and other harmful gases.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 454px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRenewable Energy Integration:\u0026nbsp;\u003c/strong\u003eAs major renewable sources of generating electricity grid are solar and wind, Electric vehicles can play a vital role in contributing to the overall decarbonization process by adopting eco-friendly energy for charging.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 454px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePolicy Support:\u0026nbsp;\u003c/strong\u003eGovernments are conceptualizing policies for the adoption of EVs and expecting individual contributions to decarbonizing the transportation sector, which includes mandates, subsidies, and investments in infrastructure\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 42px;\"\u003e\n \u003cp\u003eD2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDecentralization\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 456px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDistributed Generation:\u0026nbsp;\u003c/strong\u003eAs part of the decentralized energy strategy, where EV charging stations are charged by solar panels on homes and businesses, it will help to reduce the reliance on centralized power grids and work as an independent source of energy for Electric charging station\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 456px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEVs as Distributed Resources:\u0026nbsp;\u003c/strong\u003eElectric charging stations have more flexibility and help to enhance grid stability. EV stations, if needed, act as distributed energy resources, contributing to grid balancing by charging and discharging electricity.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 456px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmart Charging:\u0026nbsp;\u003c/strong\u003eTechnology-based smart charging will help optimize EV charging and create flexibility to toggle between grid power and renewable energy based on power availability, as well as provide support in grid stability and decentralization.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eD3\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 109px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;Digitalization\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 456px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharging Infrastructure\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eDigital technologies will help manage demand effectively and ensure efficient energy distribution.\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 456px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eData Analytics and Optimization\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eDigitalization enables data-based decision, analysis, and simulation for EV charging patterns to optimize and predict grid demand based on sessional impact, help decision cost-based utilization of power-based power grid vs. renewal source, and enhance the efficiency of the system.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 456px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBlockchain Technology\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eBlockchain technology can be used to create transparent payment systems and secure and immutable energy trading systems, facilitating peer-to-peer energy sharing through the smart contract feature of Blockchain\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eHowever, there are some constraints to adopting electric vehicles, which are primarily related to batteries. Buyers consider evaluating buying decisions based on three factors: first, charging time, and generally, an EV takes significantly longer charging time compared to refueling a gasoline vehicle. Second, the anxiety of driving or fear of driving as, over time, battery capacity declines, which has an additional financial impact on customers. Last, although most countries are working on it and creating more charging points, charging infrastructure is limited in terms of electric vehicle growth. As a result, many people are still hesitant to adopt electric vehicles and want to continue with gasoline-powered cars.\u003c/p\u003e\n\u003cp\u003eOne of the primary barriers to EV adoption is the inefficiency of conventional charging methods. Traditional charging infrastructure requires prolonged charging times, which can range from several hours with alternating current (AC) chargers to at least 30 minutes with direct current (DC) fast chargers. Additionally, range anxiety\u0026mdash;the fear of running out of battery charge before reaching a charging station\u0026mdash;remains a critical concern for EV users.(Jin et al., 2019) The uneven distribution of charging stations and grid dependency further exacerbate these challenges, creating energy supply and demand managementbottlenecks. In response to these limitations, battery-swapping technology has gained attention as an alternative solution for ensuring fast, reliable, and efficient energy replenishment for EVs.\u003c/p\u003e\n\u003cp\u003eTo address these challenges, the automobile industry has been working with an internal research development team or external experts for a long time to develop effective mechanisms for a higher adoption rate of electric vehicles, which will be more convenient, efficient, and customer friendly.\u003c/p\u003e\n\u003cp\u003eWith time, lots of innovation, and research on battery technology, the automobile industry has positioned electric vehicles (EVs) as a strong alternative to internal combustion engines running on traditional gasoline. Several benefits are attached to electric cars, which are aligned with the sustainable growth of an organization\u0026apos;s economic, environmental, and social sectors, helping to reduce noise pollution, zero emissions, and no direct greenhouse gas output.\u003c/p\u003e\n\u003cp\u003eIndustry leaders have proposed an alternative solution, Battery swapping technology, to address the time-consuming battery charging process and fear of driving with minimum investment in infrastructure. Nevertheless, battery swapping is a cost-effective solution without any additional cost for purchasing a new battery, and it will also help users save time on charging the battery.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBattery swapping is a process where a depleted EV battery is replaced with a fully charged one at specialized swapping stations. This approach eliminates waiting times associated with conventional charging, allowing vehicles to resume operation in just a few minutes (Chen et al., 2024). Moreover, battery swapping offers additional benefits such as optimized battery lifecycle management, reduced stress on the power grid, and the potential for battery standardization across different vehicle manufacturers\u0026nbsp;(Cheng et al., 2021). However, despite its advantages, widespread implementation of battery-swapping systems is hindered by several technical, financial, and operational barriers. Key challenges include ensuring battery ownership traceability, standardizing battery designs, managing transaction security, and maintaining transparency in battery usage history (Al-Saif et al., 2021).\u003c/p\u003e\n\u003cp\u003eTo address these issues, blockchain technology has emerged as a revolutionary tool capable of enhancing the efficiency, security, and transparency of battery-swapping networks. Blockchain operates as a decentralized and immutable digital ledger, ensuring that all transactions related to battery swaps are recorded in a transparent and tamper-proof manner(Al-Saif et al., 2021). By integrating smart contracts\u0026mdash;self-executing agreements programmed to trigger predefined actions\u0026mdash;blockchain technology enables automated, trustless, and fraud-resistant battery exchange processes. This ensures that users are billed accurately based on battery usage, while also preventing data manipulation and unauthorized access. Furthermore, blockchain enhances battery lifecycle management by tracking real-time battery health, ownership records, and charging cycles, ensuring that consumers receive high-quality, reliable battery services (Mo et al., 2024). In Figure 2 depicts the process of the battery swapping system and (Table 2) explain full process:\u003c/p\u003e\n\u003cp\u003eTable 2: \u0026nbsp; Process of battery swapping\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"672\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eS.no\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProcess\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 399px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDescription of process\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eResponsibility\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eArrival at the Swap Station\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 399px;\"\u003e\n \u003cp\u003eWhen an electric vehicle owner reaches a battery station with a depleted battery, the driver requests an attendant or an automated system for battery swapping.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eVehicle owner\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eBattery inspection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 399px;\"\u003e\n \u003cp\u003e\u0026nbsp;A quick inspection of the vehicle\u0026apos;s battery by the attendant or system is needed to ensure it is in good condition, or any damage, and the owner\u0026apos;s past history. If all parameters are found satisfactory, give consent for swapping.\u003c/p\u003e\n \u003cp\u003eIf inspection parameters do not meet eligibility criteria, request to explore charging options.\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eInspection Attendant\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eRemoval of battery\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 399px;\"\u003e\n \u003cp\u003ePost-inspection of battery is complete; the depleted battery is removed by a specialized inspector or through an automated process from the vehicle.\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eInspector\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eSwapping/ Replacement of \u0026nbsp;Battery\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 399px;\"\u003e\n \u003cp\u003eA fully charged battery pack from the battery bank placed at the swapping station is swapped with the depleted one. The whole process is designed to be simplified and efficient. Additionally, the process is similar to the refueling of gasoline,and the process does not take much time to swap.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eInspector\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003ePayment and Departure\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 399px;\"\u003e\n \u003cp\u003eThe vehicle owner settles the bill for battery swapping service, and once the payment is processed, after the swap the battery driver can enjoy a ride without range anxiety.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 135px;\"\u003e\n \u003cp\u003eVehicle owner\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eSource: Author\u0026rsquo;s own Creation\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBlockchain technology can play a pivotal role in the efficient management of battery-swapping systems for electric vehicles. By leveraging the unique principles of blockchain, such as shared ledger, immutability consensus, and transparency, to address challenges in executing the battery-swapping process as shown in Figure 3\u0026nbsp;(Huang et al., 2021).\u003c/p\u003e\n\u003cp\u003eDespite its potential, research on the integration of blockchain in battery swapping for EVs remains in its nascent stages. Existing studies have explored various applications of blockchain in energy trading, vehicle-to-grid (V2G) interactions, and decentralized power management, but a comprehensive understanding of its role in optimizing battery-swapping infrastructure is still developing. To bridge this knowledge gap, this study conducts a bibliometric analysis to examine the evolving research landscape on blockchain applications in EV battery swapping. By analyzing key trends, influential publications, emerging research themes, and technological advancements, this study aims to provide valuable insights into the current state of research and the future directions for blockchain-enabled battery-swapping systems. The findings of this study will help stakeholders including policymakers, researchers, EV manufacturers, and energy providers develop more effective strategies for integrating blockchain technology into EV infrastructure, ultimately fostering a more sustainable and efficient mobility ecosystem\u003c/p\u003e"},{"header":"2. Theoretical framework and Literature review","content":"\u003cp\u003eTheories provide a structured foundation for understanding the adoption, implementation, and challenges associated with \u003cstrong\u003eblockchain-enabled battery swapping in electric vehicles (EVs)\u003c/strong\u003e. The theoretical framework for this study is based on \u003cstrong\u003ethree core concepts\u003c/strong\u003e\u003cstrong\u003e: \u003cstrong\u003eDiffusion of Innovation (DOI) Theory\u003c/strong\u003e, \u003cstrong\u003eTransaction Cost Theory (TCT)\u003c/strong\u003e,\u003c/strong\u003e and \u003cstrong\u003eBlockchain Trust Model\u003c/strong\u003e. These theoretical perspectives help identify \u003cstrong\u003ebarriers, benefits, and strategic pathways\u003c/strong\u003e for successful implementation (Huang et al., 2021).\u003c/p\u003e\n\u003cp\u003eDOI theory explains how \u003cstrong\u003enew technologies and ideas spread within societies and industries\u003c/strong\u003e. It highlights the \u003cstrong\u003ebarriers and facilitators\u003c/strong\u003e of blockchain adoption in battery swapping and emphasizes the need for \u003cstrong\u003eindustry-wide collaboration\u003c/strong\u003e to drive large-scale implementation(Dadashzada et al., 2024).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTransaction Cost Theory (Williamson, 1981)\u003c/strong\u003e focuses on minimizing the costs associated with \u003cstrong\u003eexchange, monitoring, and enforcement\u003c/strong\u003e in economic transactions. In the context of \u003cstrong\u003ebattery swapping\u003c/strong\u003e\u003cstrong\u003e, \u003cstrong\u003eblockchain technology reduces transaction costs\u003c/strong\u003e\u003c/strong\u003e by \u003cstrong\u003eeliminating intermediaries, ensuring secure transactions, and automating smart contracts\u003c/strong\u003e(Chen et al., 2024)\u003cstrong\u003e.\u0026nbsp;\u003c/strong\u003eTCT underscores \u003cstrong\u003ehow blockchain enhances efficiency by lowering transaction costs\u003c/strong\u003e in battery-swapping systems.\u003c/p\u003e\n\u003cp\u003eTrust is a \u003cstrong\u003ecritical factor\u003c/strong\u003e in blockchain adoption. The \u003cstrong\u003eBlockchain Trust Model\u003c/strong\u003e (Swan, 2015) emphasizes how \u003cstrong\u003edecentralization, consensus mechanisms, and immutability\u003c/strong\u003e enhance \u003cstrong\u003esecurity and trust\u003c/strong\u003e in digital transactions. The \u003cstrong\u003eBlockchain Trust Model\u003c/strong\u003e reinforces the \u003cstrong\u003ereliability and security advantages\u003c/strong\u003e of using blockchain for \u003cstrong\u003ebattery-swapping networks\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e(Hua et al., 2018)\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e"},{"header":"3. Objectives","content":"\u003cp\u003eRQ1-To analyze the existing literature on the application of blockchain technology in battery swapping for electric vehicles (EVs) through a Pareto analysis.\u003c/p\u003e \u003cp\u003eRQ2-To identify common themes and synthesize, organize, cluster, and relationship insights from the literature through an Affinity diagram.\u003c/p\u003e \u003cp\u003eRQ3-To create a Quality Function Deployment (QFD) house, understanding the Voice of customers (VOC) to the Voice of process(VOP) and the linkage between Blockchain technology and Industry Needs.\u003c/p\u003e \u003cp\u003eRQ4-To identify key research trends, influential authors, and leading publications in the domain of blockchain-enabled battery swapping for EVs.\u003c/p\u003e \u003cp\u003eRQ5-To explore the evolution of research themes and emerging areas within blockchain-based battery-swapping solutions.\u003c/p\u003e \u003cp\u003eRQ6-To assess the impact of blockchain on efficiency, security, and scalability in battery swapping networks and challenges\u003c/p\u003e"},{"header":"4. Research Methodology","content":"\u003cp\u003eThe exploration began by identifying relevant academic papers using a keyword \u003cem\u003eELECTRIC VEHICLE, BATTERY, SWAPPING, CHARGING, EV,\u003c/em\u003e and \u003cem\u003eBLOCKCHAIN\u003c/em\u003e\u0026nbsp; \u0026nbsp;in two major scientific databases: \u003cstrong\u003eWeb of Science (WOS) and Scopus\u003c/strong\u003e to ensure broad coverage of the subject area. The preliminary search retrieved a total of\u003cstrong\u003e\u0026nbsp;\u003cstrong\u003e316 research papers\u003c/strong\u003e\u003c/strong\u003e, encompassing a wide range of studies related to blockchain, battery swapping, and EV charging infrastructure. To refine the dataset and ensure relevance, a multi-stage filtering process was applied, including the \u003cstrong\u003eElimination of duplicate papers\u003c/strong\u003e from the two databases. We e\u003cstrong\u003excluded outdated studies,\u003c/strong\u003e only papers published from \u003cstrong\u003e2019 onward\u003c/strong\u003e were considered. \u003cstrong\u003eRemoval of inaccessible papers\u003c/strong\u003e, including those with limited access or without full-text availability. \u003cstrong\u003eScreening for topic relevance\u003c/strong\u003e to ensure alignment with the research focus on blockchain-driven battery swapping and charging solutions for EVs. After the refinement process, \u003cstrong\u003e32 high-quality papers\u003c/strong\u003e were identified as the most relevant and up-to-date sources for this study, shown in figure 4. These selected papers provide \u003cstrong\u003ecritical insights into blockchain integration for battery swapping, key challenges, technological advancements, and research trends in the field\u003c/strong\u003e\u003cstrong\u003e.\u0026nbsp;\u003c/strong\u003eBy leveraging a bibliometric analysis of these selected studies, this research aims to map the current knowledge landscape, highlight emerging themes, and identify research gaps in blockchain-enabled battery swapping and charging for EVs.\u003c/p\u003e\n\u003cp\u003eThis study aims to leverage blockchain technology for efficient management of battery swapping in electric vehicles (EVs), which has a multi-level analytical approach that is an integral part of technological innovation. A multi-level analysis is used to explore the key factors that influence the user in the adoption and effectiveness of the deployment of blockchain technology in the EV battery-swapping process. This research is based on the comprehensive literature review of 32 selected research papers funneling multiple papers from various databases. An analysis approach was used, such as Pareto analysis, Affinity diagram, Quality Function Deployment (QFD), and Bibliometric analysis. First, Pareto analysis was used to identify the most frequently used keywords, and the approach, based on the \u003cstrong\u003e80/20 rule\u003c/strong\u003e, helps prioritize key research themes by recognizing that 80% of the focus areas stem from 20% of the keywords. Second, the Affinity Diagram was used to identify common themes and synthesize, organize, and cluster insights from the literature. Third, Quality Function Deployment (QFD) , Linking Blockchain to Industry Needs, understanding the Voice of customers(VOC) to the Voice of process( VOP), relative study with and without blockchain, and bridging the gap between industry challenges and blockchain solutions. Fourth and last, the Bibliometric analysis is used for thematic analysis, co-author collaboration, citation trends, and publication trends within the domain of blockchain in EV battery swapping.\u003c/p\u003e"},{"header":"5. Analysis","content":"\u003cp\u003e\u003cstrong\u003eI Pareto analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePareto analysis was conducted on 32 selected research papers to identify the most frequently used keywords. Based on the 80/20 rule, this approach helps prioritize key research themes by recognizing that 80% of the focus areas stem from 20% of the keywords.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe analysis revealed that the \u003cstrong\u003edominant keywords\u0026mdash;Blockchain, Battery, Electric Vehicle (EV), and Charging\u0026mdash;account for 80% of the occurrences\u003c/strong\u003e, highlighting their central role in the research domain. Additionally, keywords such as \u003cstrong\u003eSecurity, Privacy, and Frameworks\u003c/strong\u003e frequently appeared, emphasizing blockchain\u0026apos;s technical and adoption-related aspects \u003cstrong\u003ein battery-swapping systems\u003c/strong\u003e\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBy ensuring that the selected papers align with these core themes, \u003cstrong\u003ePareto analysis(\u003c/strong\u003eFigure 5 )\u003cstrong\u003e\u0026nbsp;validates their relevance and comprehensiveness\u003c/strong\u003e. The keyword distribution not only reflects the primary research\u003c/p\u003e\n\u003cp\u003eFocus but also provides \u003cstrong\u003ediverse perspectives for a deeper understanding of blockchain-based battery management in EVs\u003c/strong\u003e\u003cstrong\u003e.\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eII Affinity diagram\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAdditionally, an affinity diagram is used to find the relation and common theme used in this research domain. Affinity is a tool used to visualize \u0026amp; organize ideas, information, and data grouping based on their common thread of relationships (figure 6). It helps to structure their presentation by identifying patterns, themes, and trend information. \u0026nbsp;Figure 6: Affinity diagram\u003c/p\u003e\n\u003cp\u003eData from various sources or research papers are used to organize common themes, key concepts, research findings, and established relationships. It will also help the researcher to group similar findings and establish relationships under a common theme for quick analysis of data.\u0026nbsp;The affinity diagram helped organize research topics, key themes, and relationships from 32 papers on the use of blockchain technology in electric vehicles (EVs) and battery swapping. In the literature review, the common themes identified are efficiency, security, application scalability, and fairness in EV battery management and charging.\u003c/p\u003e\n\u003col style=\"list-style-type: upper-roman;\"\u003e\n \u003cli\u003e\u003cstrong\u003eEfficiency:\u003c/strong\u003e The affinity diagram shows a strong relationship between \u0026ldquo;efficiency\u0026rdquo; across the 32 papers. In this context, \u0026ldquo;efficiency\u0026rdquo; emphasizes various aspects, such as efficient ways to reduce the battery swapping process, charging time, and optimizing energy consumption. The literature review presented vital insight into how blockchain technology can be leveraged to streamline these processes efficiently with more cost-effective battery-swapping operations. According to Florea, (2020) discovered that blockchain technology embedded with IoT would be an innovative \u0026amp; smart solution for efficient management of energy in EV battery management.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eSecurity:\u003c/strong\u003e Security is another central theme emphasized in the affinity diagram. According to (Cheng et al., 2021) developed the concept a privacy-preserving authentication protocol for EV battery swapping based on intelligent blockchain technology for efficient swapping operations and secure system \u0026nbsp; and discussed that blockchain technology has vital features in enhancing the security of effective battery management in EV and charging systems. This includes securing payment transactions, maintaining the confidentiality of user data, and ensuring trust in the charging infrastructure.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eTransparency:\u003c/strong\u003e Transparency is also identified as an essential element in several papers; which revealed the use of blockchain technology based on the Ethereum application in IoT based solutions for battery refueling in electric vehicles and highlighted potential benefits to enhance secure transactions and transparency in the network (Chen et al., 2024). Focusing on the use of blockchain technology in electric vehicles for the management of batteries can effectively manage records of all transactions in the network during the operation of battery management; additionally, it will increase trust in stakeholders and amongst stakeholders for efficient management of the electric vehicle.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eProcess improvement \u0026amp; operational efficiencies:\u0026nbsp;\u003c/strong\u003eMany papers highlighted that operational efficiency or process improvement can be achieved with the help of blockchain technology in EV battery swapping and charging stations. According to\u0026nbsp;(Zhang et al., 2024)\u0026nbsp;researched the leverage of blockchain technology to optimize EV charging scheduling, shared strategies to enhance charging efficiency and grid integration, and highlighted that can remove intermediates, reduce costs, streamline operations, and improve customer experience through traceability and transparency in the system, as blockchain works on a distributed ledger where nodes are well connected. Similarly,\u0026nbsp;(Chen et al., 2024)\u0026nbsp;focused on consumer willingness to use battery swap services for EVs, highlighting refueling convenience in battery swapping and minimizing range anxiety in electric mobility.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eTechnology\u0026ndash;Based Solutions:\u003c/strong\u003e\u0026nbsp; Another common theme that popped up to leverage blockchain technology in effectively managing battery swapping in Electric vehicles, and it is an organization strategy for intelligent charging system-based algorithms and technologies, leading to cost optimization, more efficiency, trust, and sustainable charging practices. Additionally, leveraging the technology will help scale charging infrastructure efficiently. Some papers specifically focus on privacy in the overall system for secure payment solutions for EV charging. According to (Ada et al., 2021) enlightened that blockchain technology has the potential for effective battery refueling of electric vehicles and emphasized its potential in ensuring transparent and secure transactions. It also discussed the key principle of blockchain technology ie cryptography, which can ensure privacy, confidentiality, and secure and intelligent digital payments shown in figure 7.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eIV Quality Function Deployment( QFD)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQuality function deployment (QFD) is a structural approach to interpret the voice of the customer to the technical requirements for the conceptualization of product design or technical solution, or it is used to convert VOC(voice of the customer) to VOP(voice of process). The QFD framework helps address customer needs, beginning with the House of Quality matrix(Jaiswal, 2012. It will also help analyze how blockchain technology can effectively enhance battery swapping in EVs.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSteps\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData Collected (Voice of Customer - VOC) is collected from 25 experts through interviews and focus groups on a Likert scale, and secondary data is collected from various literature, digital platforms, and competitor benchmarking. After data mining, unstructured data is cleaned, and a Pareto analysis tool is used to prioritize key expectations or requirements of customers viewpoints. Listed all the customer requirements/objectives (Customer Requirements \u0026quot;Whats\u0026quot;). The making of the House of Quality kept customer requirements (\u0026quot;Whats\u0026quot;) on the left side of the house.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;WHAT\u0026rdquo;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThese are all critical requirements extracted from collected data that are important to the customer and prioritized based on importance to the customer, i.e., essential, fundamental, and latent needs.\u003c/p\u003e\n\u003cp\u003eR1. Fear of driving related to distance \u0026ndash; Addressing range anxiety by ensuring the availability of battery swap stations or called fear of driving.\u003c/p\u003e\n\u003cp\u003eR2. Charging time \u0026ndash; How much time will it take to charge an Electric vehicle? The objective is to reduce compared to traditional charging.\u003c/p\u003e\n\u003cp\u003eR3. Charging infrastructure \u0026ndash; Enhancing accessibility and efficiency of battery swapping stations, i.e., deployment of more \u0026amp; more charging stations.\u003c/p\u003e\n\u003cp\u003eR4. Economical driving \u0026ndash; Reducing cost per km by optimizing battery utilization and comparing to internal combustion-driven power run on petrol/ Diesel or CNG\u003c/p\u003e\n\u003cp\u003eR5. Minimal refueling \u0026ndash; Ensuring quick, hassle-free battery swaps with minimal disruption, i.e., time to swap the battery in an electric vehicle.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;HOW\u0026rdquo;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBelow are identified Blockchain-enabled technical key features (\u0026ldquo; How\u0026rdquo;) and mentioned on Top of House process parameters that impact customer requirement\u003c/p\u003e\n\u003cp\u003eC1. Decentralized Battery Swap Ledger \u0026ndash; Real-time tracking of battery availability and vital condition of battery\u003c/p\u003e\n\u003cp\u003eC2. Smart Contracts for Swap Transactions \u0026ndash; Automating payments and ensuring transparent billing i.e. it will create a secure network with the help of smart contract where stakeholders are well-connected\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eC3. Battery Health \u0026amp; Usage Traceability \u0026ndash; Ensuring transparency in battery degradation \u0026amp; ownership/ authentication of actual battery.\u003c/p\u003e\n\u003cp\u003eC4. Interoperability Between Swap Networks \u0026ndash; Enabling seamless cross-platform battery swaps, i.e., secure network for a hassle-free battery swapping process.\u003c/p\u003e\n\u003cp\u003eC5. Predictive Maintenance Using AI \u0026amp; Blockchain \u0026ndash; Reducing battery failures and enhancing reliability, i.e., all information related to the vital the batteries will be shared in the blockchain network for preventive action to enhance the driving experience of the customers.\u003c/p\u003e\n\u003cp\u003eDraw a correlation matrix between customer requirement (\u0026ldquo;What\u0026rdquo;) in the vertical column and Blockchain-enabled technical key features (\u0026ldquo; How\u0026rdquo;) in the horizontal Row\u003c/p\u003e\n\u003cp\u003eBelow are the scores used for the correlation\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"576\" height=\"41\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThe right side of the House is used for the relative study of processes, i.e., Traditional charging processes, Without Blockchain, and With Blockchain. Normally it is used to understand competitive space.\u003c/p\u003e\n\u003cp\u003eOn the left side and bottom of the House \u0026ndash; Calculated Relative weight %\u003c/p\u003e\n\u003cp\u003eOn top of the house, created a relation matrix between technical requirements (\u0026ldquo;How\u0026rdquo;)ie Interlinkages between Blockchain-enabled technical key features. Considering Strong positive (++), Positive (++) Medium(\u003cstrong\u003er\u003c/strong\u003e), and low relationship (-)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRight Side of House\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe right-side calculations help us understand the most critical customer requirements based on their weighted scores.\u0026nbsp;\u003c/p\u003e\n\u003col start=\"1\" type=\"i\" style=\"list-style-type: lower-roman;\"\u003e\n \u003cli\u003eReducing charging time (23.81%) is the most important element from the customer\u0026apos;s point of view, where fear of driving, i.e., range anxiety (21.43%) are also the most critical pain points for customers using Electric vehicles where Blockchain technology can prioritize fast, making the system more efficient, and Secure swapping transactions.\u003c/li\u003e\n \u003cli\u003eCharging infrastructure accessibility (19.05%) and seamless swap experience (19.05%) are also important for customers, highlighting the need for interoperability and transparent swap records.\u003c/li\u003e\n \u003cli\u003eEconomical driving (16.67%) is important but ranks the lowest, showing that cost/km is crucial as long as a long range of driving and speed is available.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eBottom-Side of House\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe bottom-side calculations help recognize that the degree to which blockchain-based solutions contribute the most to fulfilling customer requirements.\u003c/p\u003e\n\u003col start=\"1\" type=\"i\" style=\"list-style-type: lower-roman;\"\u003e\n \u003cli\u003ePredictive Maintenance (31.25%) and Battery Health Traceability (25.00%) are considered the two most important technical solutions. They help reduce range anxiety and, optimize battery life, manage the process in the most efficient and secure swaps.\u003c/li\u003e\n \u003cli\u003eSmart Contracts (18.75%) and Interoperability (18.75%) are also considered as equally important. Interoperability helps in a seamless swap experience, while Smart Contracts enhance trust, automate \u0026amp; secure payments, and minimize disputes.\u003c/li\u003e\n \u003cli\u003eDecentralized Ledger (6.25%) is shown as the least impactful, but it creates secure network traceability, auditability, and financial security.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eLeft-Side of House\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDetails mentioned on the left side of the house are used to present a competitive analysis, whereas, in this research paper, this analysis compared traditional charging, non-blockchain battery swap, and blockchain-enabled battery swap against key customer needs.\u003c/p\u003e\n\u003col start=\"1\" type=\"i\" style=\"list-style-type: lower-roman;\"\u003e\n \u003cli\u003eAs per customer expectations, traditional charging has significant drawbacks, such as poor accessibility, slow charging time, and limited cost benefits, which have a negative impact on Net Promoter Score (NPS).\u003c/li\u003e\n \u003cli\u003eTechnology-based (Non-blockchain ) battery swapping improved the battery swapping process, but there are limitations related to transparency and security. Additional range anxiety or interoperability issues are still unaddressed.\u003c/li\u003e\n \u003cli\u003eA blockchain-enabled battery swap is much better than both alternative solutions. Smart contracts and distributed ledgers used in Blockchain help to provide a more secure, efficient, cost-effective, and robust swapping process. It creates more trust, digitalizes battery ownership records, makes more transparent and Immutable transactions, and creates interoperability across networks.\u0026nbsp;\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eThe Top Roof\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Top of House of Quality (HOQ) represents interlinkages or correlation relationships between the technical Blockchain-enabled feature requirements (How), and the relationship denoted by Strong positive (++), Positive(++), Medium(\u003cstrong\u003er\u003c/strong\u003e), and Low relationship (-) between different technical aspects.\u003c/p\u003e\n\u003col start=\"1\" type=\"i\" style=\"list-style-type: lower-roman;\"\u003e\n \u003cli\u003eFrom the top house, Predictive Maintenance Using AI and blockchain has been highlighted as having the strongest relationship with most other technical factors.\u003c/li\u003e\n \u003cli\u003eSmart contracts are the key principle of Blockchain; deployment of smart contracts for payment transactions for swapping and interoperability within swapping networks have expressed a very strong correlation, and they need to be deployed together for an efficient battery swapping process.\u003c/li\u003e\n \u003cli\u003eAll Blockchain-enabled features/technical factors positively influence each other; this represents that all technical requirements are an integral part of the swapping approach, which will help maximize efficiency.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eInterpretation of the QFD diagram(Figure 8 ) demonstrated that in the battery swapping process in electric vehicles, the key features of blockchain smart contracts used for interoperability, decentralized ledgers, and AI-based predictive maintenance are correlated with each other. It also observed that highly interdependent factors will create an ecosystem for efficient management of battery swapping. The strong relationships represent that these elements denote an integrated approach, which creates more trust in the battery-swapping network and makes the system more robust and efficient.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIV Bibliometric Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBibliometric studies focus on and analyze hundreds or thousands of research papers and create keyword clouds, trends in the topic, citations, co-author collaboration, and the number of publications.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ea) Keyword Cloud \u0026amp; Tree Map analysis :\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eIn an analysis of 32\u0026nbsp;research papers and various articles with the help of the keyword cloud and tree map analysis, it appeared that word Electric vehicle were found in 10% and Charging(batteries) 8% where Blockchain 9%, Battery swapping 6 %, Battery 9 % and IOT 3% which keywords are very close to research subject topic and consider as a trending area for research(Figure 9).\u003c/p\u003e\n\u003cp\u003eb) \u003cstrong\u003eMost Relevant Sources\u003c/strong\u003e\u003cstrong\u003e:\u0026nbsp;\u003c/strong\u003eIn the field of research, publishing plays a pivotal role, and they collaborate with various sources and create the right platform for researchers to publish papers on trending topics successfully. On bibliometric analysis of selected documents from Scopus data, it was observed that the most productive journals and authors mentioned in Figure 10 were the top ten journals that published the most trending studies.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt is depicted that \u0026ldquo;IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS\u0026rdquo; is in the first position and has published three papers since 2018 and second \u0026nbsp;\u0026ldquo;IEEE INTERNET OF THINGS JOURNAL\u0026rdquo; published two and \u0026ldquo;IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, \u0026ldquo;CASES ON CIRCULAR ECONOMY IN PRACTICE,\u0026rdquo; DIANLI ZIDONGHUA SHEBEI/ELECTRIC POWER AUTOMATION EQUIPMENT\u0026rdquo; and other rest published one paper each. The maximum number of documents published on battery swapping in electric vehicles using blockchain was observed in keyword analysis. \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ec) Most productive countries:\u0026nbsp;\u003c/strong\u003eSix countries have taken the lead in bibliometric analysis and contributed significantly to blockchain battery swapping. Figure 11 represents scientific production on the subject topic according to the countries. The corresponding authors from the rest of the countries, CHINA has the highest, i.e., 169 articles. This can be explained by CHINA being considered a hub of batteries, working on alternative energy sources, and researching new developments in electric vehicles. CHINA is followed by INDIA, USA, ROMANIA, DENMARK, and UNITED KINGDOM, with 13, 12, 12, 8, and 7 articles in the top six. This shows that CHINA and INDIA countries have published research articles on battery swapping using blockchain and a lot on technology-enabled automobile.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ed) Co-Occurrence Analysis:\u003c/strong\u003e Keyword Co-Occurrence Analysis is a visual graphical tool representing the association or relationship between keywords of one source of the document to another. In Bibliometric analysis, Rstudio extracts keywords from abstracts, titles, or articles from the corpus of documents and populates keywords in different colors and links amongst each other. It also formed a cluster based on the frequency of occurrence of keywords. These clusters are called word co-occurrence network maps or semantic networks as they create different cluster colors and represent the relationship between one document and another. The colors of clusters provide insight into trending topics, themes, and interlinkages within a specific field of study. A \u0026ldquo;Total Link Strength\u0026rdquo; evaluates the strength of relationships between keywords, and higher total link strength shows stronger associations or co-occurrences within a network of keywords and gives insight into the intensity of connection \u0026amp; \u0026nbsp; keywords are more closely related to others within the dataset.\u003c/p\u003e\n\u003cp\u003eA total of 83 keywords popped up during the bibliometric analysis. Eighteen unique keywords were repeated at least three times. The co-occurrence analysis is shown in Figure 10. There are ten items in the first cluster (red). Blockchain, block-chain, electric vehicle charging, authentication, centralized systems, data privacy, internet of things (IOT), Privacy, reliability, IoT, smart contract. The second cluster (Blue) has twenty-two items. These are electric vehicles, charging (batteries),battery swapping, secondary batteries, internet of things, battery, battery management systems, electric vehicle batteries, vehicle-to-grid, automotive batteries, electric power transmission networks, optimizations, charging infrastructures, charging station, decision making, electric vehicles (EVs), energy, fossil fuels, quality of service, scheduling sustainable development, vehicle technology.\u003c/p\u003e\n\u003cp\u003eThe keyword \u0026ldquo;electric vehicles\u0026rdquo; has been repeated 15 times and has 193 links Strength (Table 3). The highest total link strength after the \u0026ldquo;Electric Vehicle\u0026rdquo; is \u0026ldquo;charging (batteries).\u0026rdquo; \u0026ldquo;Charging Station\u0026rdquo; has been repeated 11 times and has 108 link strengths. The third place is the \u0026ldquo;battery swapping\u0026rdquo; keyword. \u0026ldquo;battery swapping\u0026rdquo; has been repeated nine times and has 22 link strengths.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 3: Occurrence Analysis\u003c/p\u003e\n\u003cp\u003e\u003cimg 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yyQj/Zyw6xRSktOotehwdnHFQXfRXg0UpMZyRujMM+cSOH8+VZyfHPFS/JZITKxCoKvzOLR9Pas3nKJU2J23RxB+Hu5YVQXsXr+a1IJQWnT0ReNURtLxGFLTszCrvHB1dhSauv5n/iB5eXn2+yyfeuopu27/H0V2kb9dIYUzCCdptZfbxD8VauHAMVUI4bOblUs2sEeIpTIlsxVezc3dn3adhjPu/lvoHOEthNAels6ez8miQIL8xMnNNWMw2vANiKR731GMu/smIrx/dogqjQalnz/x4Hp+mLmETE0Ig266jUaRLetWkDRI1Go1FQUXOLKpkKLdy9l2tITIoeO4TxHw7cMuyZBtWKxFxBzYwKYVWzhwJp0i0SYU596o42BuGD6KwT3bE6Q3kJ9ykPmTV5Df8iHuv2sUY6NdsBjLiF0/lck7S0SotokE0YLJJYJbHn2a8b0iKBIOdu3CJWyN09C05100iRpJSM1Zti2dxeZEPX3ueYR2TV2IO7KZTUs2sv90Ejk1RjRaRzSBrRh6w1BGDuxBdLgvtRWF7F48kbVxPjgbK6g1FFHm2Yy2Q8Q2IrWc2bWOecu3cCI+HZWDcG4+TWhaWEW5UUfwJSJJIvlvsFqqiD+4m7SMSoK792fonWPoFHxJ8FY54B/RnRuGlRK3fQmT9p7mRFoZ/XqApymX+CN7Wb1xLbtPZVFWYUDj60dU9z7cPvZO+jUTSbVWRW1eCqcPbGPt1u0ciM3DaLKiDQ6my8AbGXfjaLqGuWMszWLbyhls2a+m9eC7aNo+xJ4kVCfvZtnMVSS5D+LWByIZ7pLE6rnfin1wwWasFVo6hxoXfzqMeAbf9OnEnBdCq1yFoyWHQrUzjYe9y+sBavSZ+1i3aC07jqciJDQWi5Wwtn0ZOGIMw/p2ppGH2M+CZDYtm8m+U8WYNE7oNLmUim3pdE407zKSsbeMYkjncDBXk3/uMJu2rGfrobOk5FQKoeaMZ6tobr31foZ1aoW/q0hNbJXkpZ9kx/x5wlclk1pWK7YrEhf/RvS44Q5uGTOQKD/hEzBRmnaGrQvnsvLUWbILDJjM4BwYRqt+N3D/LeOJDnS+JpNB/C2orRV6QVSowGa1YDSIz+L95Sl5pUgyD7J95Xp2bD/OBatYV9Erfs3p1ncw40cOpkOInvN75rPtyBkuVFqxGRLZt2IBrZoFEO5cwdGdG1m+bgdnkrPsekcZhuHj1ZT+o+5k2OjBRP3esS7/D4qz4tk053PWnvPm3i+/YoBLBoe3Lmb+xrPg4IdalUN5pUX8daRx614MGXs34wdF1H9bIGKiEt8MVdnsWjiDhYeS0bUazh3jQ2gjmvqvEDFM7RWKv6OVXGs5edmZ5Jf44ukhBLNon+4RHRlztysdBxSDzg19fhLzhd3Fl1QIuzcTs3s3syz+BHa4mQMrp3HglIkakUzrzDmU6NyJvPFfBAWK+J24k3VCF+4WSX2xEHYWIR7DOwxksPAXN/TuSIirlerceNYuns6R2CosyhVqdT5l5Woc9M606jGGW265kX7tQsSJrKXk9EHWbVzDliPnyMivErHYCa3OH40qn+qqNoy5cwg9u1czd9EWckRCbSxJYfOi9TirnLlpfN0UKTp9Dke3LCLlsJn8rApcPf3o0Ote7rqzPy3DPa/JEN4/3+SFyLLUVlOSXUlOTg55uTnk5xVw/tRBtq3fxqokUdkOHvh7e+DupqVUNMCtC79n6oK1HI07T2ZuLtnpyZw+tJuFC4RD2xtDiTCmyoIMYo7sYefuzazfdooEkVUmnjnNjo3rWLJ6DXtjL6AMs6obYiDEmrmW4vyzrFz8Axt2HaRYF0xAeHP8r5zMShoCwv+pRbqbdGQHixcsYPnOBCyu7Rh51wSGdorE/ZIODWWYyoW4DcyZO52Zq7ayP0Fk+lmZpKecY4twVNNnLhRBNQmzMHy12kZ6/BE2rdrGsbMZ9u+bqjPZt3od2w9noNNWoa9OYufWnew9nYZZZIeF6TEcO7iTXduFKNm+jYxyKyVnD3Bg93b2xqRRWFFOTckOZk36nGkLV7HrRALpGRdITT7H8c1LmfbtlyzbcohMoUGsphpSz+zmwL4NrNt/hMOxyWQXlZBvtJAtjmH+5B9YuXI7ZxPTST8fT9y+tWyJrSG/SiODuuQPY7UUEncyiaJyb9r0bEW3ble+WOwdEMmgHm1wUReQLAR/cbGFvPjDzJn0HT8sWMfh0/GkZ54n7tBO1s6dz48rdlNcowinSs7s28iMyVOYtWwLp+NSyMxI4uS2DSydvYgVW49RI2zKUltOSuxR9u85xtk4IfTrfhZz8XnOHt0ngn0CGaUima4q4tzJg2I9kTgcOcjxhFSyRdxQ7CU59jhH9gm7PbCHfTHJZGVnk69y4nz8TpaKYD9p8XoRK1JJz8oiMz2OHSvmMWvGXNYeTLT7F0t1EYkxx8W2N7Jrz04OHU8i47zY1/27mT93GetEAlMq9slYksrymVOZKvzIxj0nSElLIy3hFDsXzWP6/I2cSyuw73tpbixr53zFl3NXsulIDEnCB2SK+HZi/xZmfvEl8/eJ7SsHWpzMyU1zee+HxWzfHy+2d4HsjDRi9m9l6bRJfLRQiMbyizUiuRaU5+1n1eLJfK+c02PKOcgiIzWBUztWsWDGNGav2EJ6qZHa8gKRrFZjtAihKZKBipJCyqqrKD88l7kzfmD2ml2cS80k+0IW6cmx7N6xklmzlrBpVzxVIt5cbRlfW1FEihCoe/edIKPCTG11GVmJZ9m7Z7vQS1tEG04UcSOFc8cPsGKJ2JclO0SCosIqtJJy/UG538xYlkvC/mV8MWcpu+IL8PD2pUmwT/0v/AKNJ7rw7vRuHYQ6aTOThP2/PWUp+46eISMjh9yiYhz9o2jftTvtOzTDw1ZFYWExNWazSKDMVJWVk59bQrWxipSzhzm0dy3bD+7l4DnFXnMoEKl7UswWFoo4PWXpJvbH1dtraizblsxm5swFbDx6XtirClNlPvGnj7FvtxD7e3dzRPixjNRETuzbyZzZS9hwKEZ4HzCUp7Np1g/MmLWYLftOinObIc5NDCcPrGff3p0cOHiaxJR8Kk21FBSWYhT6wWYRwr+glILiSsz23mEbWm0qMSePc0wk7qlJ8RwSsf/HefPYl5BGaV2OeNX500O8zsmVooT9LHhuACNHjmTEjSMZfuNwbrn3Ed6btoiMSjVhjQbQOboZwSINzs44xa4N+ymsasVdHy9kyY7trJ70Jo/3CaO4KIGDpxOEwYjkTyuyLK2yfUec2o5n4uSZvHPzTUTbasjKEk5WOGbFxSnjljQOTlRlneb4/NeYsTkGXf9/MuGJB7inVyjaq58IS/5E1BothQn7SE6NIduiTGWaj1rvKv5engMrQwT2zfme7TsPUOzdhzEvzmHVtvUs/v5JunmYOLV5M5t2HyDXqsU/pDWNI0JwzDjMhYQ4coSxmnLPsCPGiNo/kqGjRjCiVwc8hHiIEQLELLLFC5kpQsQUodYZsVafpaC0jON7z3Ih30hARHPC3W0c/fYF1m47SbyxGf0e+ITZqzYx/7tXGBSgpSzuOJu37+VIbCEa4dg1yo2qGgPm8GHc9uYcNq+fy4fjm3Nk7mci2TiKIWQI9782k2ULv+OtQaEiSVFjUK5nyfYs+UMo0+0ZqaoyYHILIMjbjbD6Jb9Eo9fjFd4ML+GHL2QXciE9lZSEk+w4dpjCah0jHvuUhYu+4537+ovgnsaerXtJramltiSb06cOs/fkaUxOwdz96g+sWfIx9/WIovhEDHt2HyHDZLKLCsXP6xwUX3/JNJb2m8qEfei0ws7FZ2VcqrAXta2akE6DePzTRaxfu4S3xzbGz90Ri9mEa+N2DH1mMms3rWP6Ex0pOLCaNau3UuDUnCFPTWPJpi2smDGBG5vriROJ+Io1O8gV4dJq37YQWmoL3k1acfMzn7H6x8+5uUkw2gunOZOQzOFiGwXnz7JdJBDxmcW0HHAPn0z7kUVfP0RTQw1HN+3hbGYuNZRz/thBlizbQVKRkW53vsi3S7azZvFUXrwlCmv2Mb77fDmHYtPIykxk16rdnC+H1iPf4rs5m9i85AfevKc/jrmJbP1qMWcKyn5KbCRXnxPCt25btYbTpQEEDnqVKYs2s3z2W9za2p/amEPs3CTOSVoN7e76hCduHUpLHy0B0T24662Pub+3F7sXLeTA/vP4dbqD5yetZvumFcx+71FahLqRnnqAuIQTFJbVjeW9mm7brnkUu1HsQ7xXPiudXcrLySeAGx77iOVzvuWfI3rhVpDE+ZP7OJQrhK1FrCcMSmOpJvXcYSZP+4GY7HJ63/Ycd40bQ3Twb82bqcPRsy2PvfUiPZv5UHF2G0u+e4+nHrqLMWNGMea5F5iyYg9pOUpr1eHVtDPvf/AifUL8cHIKZfD99/PtpKdoYwO9WklqTHhEdGH0C9NZt2kN3z3Qgsydy1m3YRelHtGM+udMlm/ZzLJpTzK4iYozm7eyYu1uROTEplJ8g9Zur35RHbjtuS9YM/MTRgb7QcZJTiWmcVTYVJ44f0v27yEup4L2wx/m8+mLWfbNS4xpYsXdURmwIs6Iiz9tewzniw+eooXYplNgF576YAIfvjaWEOEfFSzmctxaDOCJ1ycy670X6WUxUpl6gsNJuSLJ/p33eP4/+dNFvDJExqyM0Yo/xokTJzh1+px97HpKSjZFteE0HfIe3/wwgYHtQ+zrR3S9je+2niJ+9zfc2kxLya41zJ+/lh8PpgmHrVz2EiJJiCaVyoZZtAk3z1Y8+dZbDB4yhDvv7kSvvr6UlxVxIacQi1KHKh16xwwSzm1lyuTTqFqNZuIz4xnVOfyqGo7kf4Uw+apyHNTFOLvWUFSYy/pF00nNVfrHLqIMgDnKkQ1ZpDgM5MHnn2b6K4PoENGaHmPeZepHd9K3sYGzp2I5lifalG8gkYFheGrPcy7lNLsPxVMce5RTNSp8gxsRHN2fyNZtaeVdQ0puHhrdUeH08riQKkS0xkqlMpb3zD62H84iu0pHWFMnfB0rWT8jh7yqYG5/8gGee2IkAzq2oPvA25jy/m2EBjlwRthFUmqGcEB1LdNsNNNt5GiGiOS3qbcLfm5x7FudR2Z1a25+8GaefuwGunQbzB0ffckTHTwJURsxXhu/Ifm7ofQ8KbNU6DS/OVe0/aYuZeYv0VzNZgslBcq48ziyC1xwjH6Se+4cQrfeI7nn5e/YfeYA22a9TntfN8pzYklNTCa/pikB3Z/i8fv707rrrbwxdRmHT25l3oePEK6rm3HqCqMwfxNluEmL6HYMvGEgEY0aEeThIESMsH4RJ5q0aMHwW26hdZNGhLqd5PyRJOIM3ejx0CssePdGujWPovOwt3jr1UcY21FL8onj7BK+wKTEGpvYsCaQltEDuffBO2ndezSjb2lJE38R1/LyOZdYS7YQ8VkZ5ZhDbmHgqNu5ZeQgugx7npWHj3B86/fcO6Adlvws0hOU3kkbujGf8+wzTzC2RwTtuo/koWff56YBTbEKARQXn0xKsYWq0iosJgMZMXs5mnyKLN/GjHjpaw6fjuHYzlfpH/57b9iX/P9QnOg5Dq1L42xiEH1vvp1p3z/M4M6RtO/3EF+8cQd3DPQlMSWB3ccycPQKto8kULSfzskZL79gfD1CGPz+GrYePczyTx+np0seCVsWMnXOdhGbyrEKoWq2GMTrz1EhSo+31sGDRlEDuPeOUbTvfwu9hnalfZSZirJk4tOEDYvD1mocqKlKIC5mDXuPltLkiQW89MAo+kT8+yELap0bET3v5Iu561i7YQ5fvHIzvQP1JJ+L4ejyJXzw9D/4x8dTWHq+Bo2jK37BAbjolKveOhFvfQgLq7ufRqkNk7DXiDatGTp2NC3DQ2jkdYqkQ+dJpC/9H3uVma/fQOeoZnQd+T5vvfwAw1taSBT2uqdQnDnhMFQ2C2qHUNp2HMy9D9xBS7u9NqORTzHZOQWcS6gWfuosacJebb2eYew9D3HX8J5ED7qVR996jBYebvZEQpmFxgkPQkQCoIx6UjuIGBzsT3CgJw6KCBVrGQ2hDBs9nrH33kavwX25575GOGjyOC+2XXQtplsU/Oki3lRbiWdUN8Z9tIbFi3/k67dG0aKRI1VWDVFdOzDhhZvp0yoY94tTGhlryU/czXdT3+PTd9/go29+YPnek+SUG+wZ5c9N3irEvDLFYBM6dglG+Gs8I8MJCQ8QAcUkHLpwvPYIoIy1N1FTXWp3suUlRnRuynR89o1IGjg2iwnXNgO5+aUpTPzoXR5pV8S5zStYuuccaRUXJYABW24SqeXCqIpT2bX4a5587GHuv/8BHnjwEV6buYtz6alUluXZb9LTuAXTr3sk/v46CtKSObPrIIeOxVKpc6JFx3aENmqPrxD6Yd7V1JyK4+ThsyKjF23LqraLBnNNDQUJsZzILxHfEesFhRHkq6G0QLhuF2+aRTUhKsTLbowO7gEEjBxCD2931PkFXCgqEaV1rdxi9aFpZDBh9nGINdjyU0koMeMQ3pIOrSKIdBb2oBFBo1FnOrbU4+lqtV8VkEiuBuqSMsqqDCgt8krYhI81FOZTajHj6+eHq5MDtdVCeKoc0bXqLBJhL5EA6HH3C6N56xY0bxqMk2j0FlMNBmEjFhdfnFt1opmnkxAPrviHNaVl6+Y0DfXF8d9MDaIkD5cEAoFi51bxvx8+fqEEBytlIglQ1lFZsVgc8PIOo4l92K8oLE8gp8yAoSSL+I0/8MSjDwlfcD8PPvwYr09ey+GkVAyVGZxNVWxQ+T0hCtQBeHtF0dRfSVyciWjeGE8vR5EgmKg1CLs2VIuXWK9xSwKbNMZN/L7OxY+mLVvSSlnXUY2pskwkOvmUi0zbfHIpX77xBI8+/CAPPnA//3jja/bE5lBdfpScnEocvJrSuY/YYYtR+JJdLPn+c96e8AKvvPAvfpi7nkoXM05aZfiD5OqjtKcqKkuNVDv4EBrRhF6h7jg5KFdlnPAaOoD2HVrgWVpCbOoF0UBEuf1G2Pp/GiW10uHuZhPJ1gImffoS73/wPh/+sIJdZ5OoqDXaO2qUjsg/C5sQthq1Cx4ezWncqG6stn9IEIFBHljMtRgMyjqiUGgsi1XEtZoSSoVWyk1T7u34D6mikvBbbWj0bgSEhNGt2xDG3PYEE97/gjnz5zHjrUfpGFLFoSXTmfftPBJqxfY0GnusVOzRPl20+FBn0oq9OuHjE0bjJvYCyI8nt0IkPcUiqVozScTun+31nembOHk+ldqKTM6JRETshkDYoSZIbCOSxj5KYuVOU2GD7u46TCLTr6o0UpKbTbmw19Dm7WnatO6HHD2CiGw3UNSPkxDvir5U9k7Zt4tXAZUrFWK/7Z/rzp3FEkV4I6E79eDi7UubdpGiLVjt91tYlIziGvCn27zSk+Di34ROY0cxfvx9PPXsSzw2biDdIp2oKs8gJekY6dVGe+6rGE920kHmffMp3y9czpm4fNSBLejYsxN9WvuJShWNxb6egvJOJ9qcC86O9eUOzkKcO9sblTIWvq7mlQYmFjm64enpiCnzJMt3nCEht1pZKGnIiJOuXCpv0nkIN9zyGPc9+KgIiCMIKEtl1YylbD2WKFyxggjwVVXUCGerqc7l3KGdzFuwkKVLFovEciErD2VSqdLj5+WMTbnip3WjU9e2BPoFUJJ0gt3rlzBv13m0Dm5ER7cQ66nw8vInIioILpxg0jcr2ZtUSVibVnTvFIWxopyYAwdIyc8DnwiRWLYkwEMYvnBW6LT2OXgvM0RHP/yVy58mIQiEKKhr26Lx2kTgcFTVJ5xmrFXVVItinYcrrpfNiuIgnKc3Ts560dalipf8EZROD0/CmgbiqsohKfECMXXDuX9FTUURsadPUW52pXG4N/7eeruPVtq5yt35N3uJf+qMcdCicnW+8s1f9hUuIj4I271YpCTu9gh7GYrNeAvzchJRoe6zXZTY/7oL8eWM3m5H4nsVlfabGNXKbBdn9jB/4WKWLl3CogXzWL8/kXyjjgA/4Qtq7V+3/6dSOQkR9PMx6R3FfmvreoIUs1bEjz2wuziiETZ+JWwWixARSqyzYUk7wI71K1iwcBGLlixl1aZd5FRq8PIRaY9Kg3tIWwbd8wgvPzqOvpFumLKSObVjG2sWzuHbryfy8QcfsflMHmWKu5BcAxSRLVqcXmcfnnFZG9V44+zmgYtIYitEMqr43Lq2VtdcVEobs5Rwat7XTPn+axat3UVynhltRDsG9m0v4ocLKiFKbLbLGvk1R7k3UBHyGiEyFZT2q7PPzazYvL1IHIBy860DjkL4OussFB+YxfYj8WQrtvAbVBUkcXDOx3zy0Tes2K/M8KTDwz+CVt37MubWW7n/mae5fWQP/GuTOb1jAwfOC+sT2bFSvXbEb9aJbwVFyymzJTrV2asi3iorqVX2sTqPjJO7ROxeJGJ3nb1uPJxCsdUBf18huy+1VyHDNRqnOnsV29frXezPUqn7UatIvg32qS1dnfQ4CGFuR5wPnd4HF3eN+N6l/uPiztW9VxKWn/G0z+9ftwU1zs6e4jeEr1L8wTU6vX+6iFd6TazC6daWK1Ug8OjCfXfdz90DIyk6s4uP35nIkiPJFCjiiVwuCBG/bU8SzlEDuP+xf/LWW2/z7P2j6NvM1X43stLgfkb5LDI3cZ7t2xbGZFVO+mW1Z8VscsY3rDV9RvWmicMFNixey+6T6fUCT9KQsYpzHhrSiEBlxjW1H83GvMTwTsHk7FnNkuWb2ZVeIRY4CFHhg6dOOE5nP/uDMB54+Akee/IJnnj0Ee6+dSQjhg+jV+doovyUtmNDG9WR5n5+6PLjOXx4G1vOluDoGkWzRgEo96W7+gTTvEMXXDVpLF20nphsM237D2DsjT1xqSnlxJFD5GUX4dmkGWHNm+MlHKfOwYLKUENxaTnl1fV3vdiEM8lKIb2mFouzM27K87ov+giV0hsgnIY9w3VA7eaNt1AopqICLuQXczENtdYWUlrhiNF8yfR0Esl/iVrrS/veXQgJMRC/7wg7VyZQWiPaYv1yBUttEXExh1l7KEXYVCStw10JFPHLqoQzm0g487Ipq61v42YDNeWllJdXoDwTyibWUXq0VIZqzAU5IgmoW80qPleVlQqNXUONuT54KrZgM4kYYhRBt+59xoULVIiEVpmZ6nKEPFbEUf2nn1EEU13Pmj1+uPvhqhOB1smb4Lb97cn/Y48/wZOPP8I9t41hpPAFfbp3o7W/EDpidXsMt4uun+ugTrhd/CVFBInjFivbigvtc4bbEYZrqBS2XlpmP26rVi8SbWd0ahWa8G4MvfkeHn/iSZ54/FEevPcORg0fwpDBNxLd2BtHZzW+LYfyyoTHePCe+3jggXt44MHbGTGsMy7qHJZ8/x2L9qaQKeKq5GqjOFGtEO/if2OV/fzl1Q2BrqMgVfj2PKr0jvh6utsFm2itYoGS7Ck9taKV1Ii4MGM+pzIstOgzjn889xqvvf5PHr2lL8Hezva49V8jNJViP/9f7HuotOH6ZquI0V/uh73H3sGX4EZt6d4hFNfi3Wxct5uT8b+RyQsMRec5sfAdXnvtVb5euJlTqfn1S+px8iUkqBHB/nrMthJy84Tyumg6AqX+lIEYP4euOju275oS0Nz8cFHUuLMvYR0Gcf9Dj/PYE3X2evc4Ya/DhL1260wLP+G7FHu1b6POXi/+jP047f5EJCmi7pyUqSbFyqVFeSJ21tur1UBFcbbwP2bha64gwkWBWnxHuW/gZyyiPuvOvv2TfQz3teVPF/FXQt9sGN1vuJ0b27jhWHCGZbPWEKvcwWMuEA0inQKzNy7NhzPuwdEM7NwIdVkR59Mz7Sf7srP/uxCOtMaLiA6jeHrim4zoEI7m1Co27D7Mgew/YEiSvwRKm7CYhdHZT6VGZNytGH2vCIRtajmwdikLZm7gfLUwPL82NA/Wo3f3ILLLjTz+/Ad8NvFzPv/oLR69cyQ3Dh/JwJ5d6RCqOEfRzlxaMCjCg07KDfkaHU5Ozjg3vZHwIHf7tJUaD3/8IqMJd9Xi5qxH4++Jd9MoWjSOoIOrCUNtNTW1zjRRhs40C8FR7UpopA5HQwEnjp7lSKzylEsLZdnJ7Ju/liOF5eiDgmjkLzzRL9u4/aMLWr9mRDfSo86LYfvuo2w5lUtZZRk5cftYuiOZrMJalKfXSiR/BCVIhXccQnTzZtSc3s6mGd+xck8sGeU1GE0mqgoyOLZjCfMXzmVjqhf+7XrSvYkX4R7OOLh54qSpwRSzi1NJWZRUlZOXcIy9a5ayYvV2zuUbsek9cfP0QG/Io/L0Lo6lFFBVUUja8V1sXbGUtdsOklKu9FeLQCrEsUpdQmVZGqmZRRRfOMPKHcdJzTHZn8L9/0fYh1s0YQFuuHm4EtC6Hw89+y8++vxzJn7yLk8/ME6I6eEM7DeAbuFWtJpLewmvhCIKtDi7e+Hi4gBpx0g9d5a0smqq84W42bKCFcvWcCAul2qRNAQEh+ElBLomqC0j732Gdz+ZyOeffcRb/3yUMSMGMWzEnXRrE46uKIndG9aycM95XLrexdNvvc/nE9/iCRETW4q6dnF1paSshNpae++X5Kqi6Awf/EJd8FLnk3zmLKv2JZFfIdp+aTpHlm1i/6EkjH7+dGzeyB6D6vI55a9VJLhVmEuySCjUUakLo22//tx8xzB6NfanKCuNapGA/n9VzGVYzBiV8S8Ck7DHn1912bBiN/8tVqsRnXMEHXuO59mnbiZcJCkJezdy4vRZ8uuT7V+iDJfrMqIXTX00ZBzfw66dx4hJqaC2xozJWExR4iGOn40hrcAq2m0gQb6OdVWsICpOid8GoyKG68suYv8s1LtftIiLLrh4uBPSbjCPPvceHyv2+vE7/OO+m0XsvpEBffrRJVQZ9qYk//ZvXxHl/Oj0TviHhOPj6kBuzG77M1eKhG+ryEnh1N4tpOfWUKt0NFxSjfZNikTAZDRhNCp9+P87/iIRXkXzVu0ZNHAoOpEx5exZyf7jsRTVutp7OD005RQcW8+PP87g288/4ts5a1lzxmjPgqqUHsv/Z7ajZJdWmwOu7o0ZOLQvQQFmcbI2cmjvMftlVcl1QL1VKQ/06Dh0HMM6NiOg9gwHd61k6ZZEsTiSnqM6E6nNYPuCWbz83udMmj6Fad99xQdvvMiLr3/Ej2v3U2S8aLludOsXSbO2PsIpm9DqdUTe0IcgN1f7UrUQIn4BUQSHuyodI3g4u+Pl35LgxlF0iDQLByCcE+E0Cgki1B2cfJpywzMDaexVzuH1S5j67SS+nzKVKVMm8a/p27lQBu2iW9G6WZNf9Y7UocHBMYp+93SlsW8hu5bPZ+KHXzJp8lQmfzmZtclVFAuH99NzLCSS/xLl8e6ekQMZO3IQnaKtxMYs58uPP+TbaT/ww4yZou1+zqefT2PB2nh8/Ftw+71jaRHoi6tXME1aRNMyQEtVylrmTp3GlO9EO//8A95583Ve+3oBqUWVuIW0pHXLlkS4VZBzaimTvp7ED8IOvvn4LV5981989uMGRD4qEnInnBw9cNDncz5uHT989CWTv/mYhYdLuFAtbP2/0fD2ENiUdj070NKrkNi1P/Kq8AXfT5nCzEnf8NE7r/DSG+/x7eJdlJrUwm/8e0FktVqEz3EgpGUH2gqR5lhyhO0rZ/HNl98zbdJXfPLWy0z41yS2HU9C5x1Kk5btaRPojOnYPGaJ5R9/OYWpk77lq0/e49UXJvDK5M0cS6+kMjeeXQs+5Z8vvMxb70/ky29+ZM7cTezcn0B2sSImwunQKgx/37ohPZKridJGGtFjXA+i26hJ3reOz9//gklTpotzOpF/TV3PzkQTEc1aMrRzuL0XWdEkyuwvpRdSObF9C8fTVAS523Cqyebo7k3MmPINk6d8z6QFO8gsqhJ6RGUfWqUkxb+Xi52YNamHWb9sPrNm/MD06dN/ek3+fgmHUospd1AeGlj3nf8Gq9mCg3sgzXqOYGQLB1SlZzksRHxc2pUv+2h9wmk54lkGd2iEKW4zs6d8y3ufTWLGDLFfM6by9TdfsGrTXnI1ETTpciN9o5zFwdgwizqw1RSRePw4a5YfJK9SZa+Xy3ddORfN6NCrHc2cL3Bq1Qxhr18weapir1/z4VsvCXv9kMkr9lNhqe+A+zdYxXlycHYgrE0nosN80MZtZO3sSXz29fdMF+dnytQlJOSL83OpiLdfvVBhKc1g/5b9bNpyjjLTlYfM/Rn8qSHeajJQU1VBZVUNhl/oEpfQVnTtP4gbmpspTT/LnBXrOZxiJqJdf4YNaIb6wmF+/PJTPvjsR7afK0TlE4S2rNT+JL7qWgM2s5HqymoqKoWor9+mchnXVFuNpaKSaoMwDiHszIYaqiqUfTCgUXkQPXAAHf09qD62jZ0b1rMvUZk1VNLQUB7QYaipoqLKJM612X5Xuh3ljvKgloy7ZRAdQ1xI37uBxXOmsybOQusRD3P36EE0s6RwYO7nfPTu+/xr4mTWp5Ti3aU3A/p3p7lH/XYE3r1uonWnLvgLq9GqG4nlTfB0r1cOGgfcPbzxc3WlSrRBJ48QIWiaEhocQOvWQaKsSij7KAIC/QhV1nfxp/mIZ7j/juF0dS0gdsMMvvj4fb6etpS4Ymc6DLmVcUI0dYxwtt+YXVst2rahklqTSEDtPyj2Qe9Gx5ue4I6bBtBel8W5VVP44qvvmLYrAzdVuTDuKiqrDT/XhUTyX6FC4+JHj2G38cTjD3Jbv8ZYk7ex8PNP+Oi99/hk+gL2pVfTpOeNPDThScYNao+/m7ALlSctOvThzltvokOwjSMb5/DFxIlMXnaEDGszBg4bSYcAJ9xcg+jabxjjRTtu4ljApoWT+GTiN8zelobJtxNDhgwk2kfYsXcj+vTvTft2ARTlHGXl/B/4ZuZhlBtDFCusEHHFqAy7sZhFnBHC1yzsRfiCn0KNCL6GamETpgoRM4w/lws6DB3PbWNG0Mm5kOOLv2Xi++/z1kdfs/J0Fk5tunLD8AG0cLWitiqTIgg/I2JNjUjmL5qWEtuqldgmyoXWx7tRW24bP04ImWCK43cw/ZvP+GzyEvZmuNKh3430adWIIAc9Ia17cvfD9zOisY4Lu5Yx7dN/8e6HnzNtzV4K/Vsy9o6RdG/VhKZNW9J36AgGh+tJO7aAKd98xNvvfMSM+dvIt0Yx+PanGNoxnIDLn04k+b0oPcDiHFYo2qC6FpPl56EXF2k26B5uHXczA8PMFO6Zx6QvPuCTr+ZwJM1MZI/hIsaMpk8TTxELHIWfD8XFxY38pCNsWTSbtfFqhj90Az2j3EjbtY7vPv2Ez79fzKliHdpaK7UlpVwoKKa0vBKrsVq0o7o2av7Nyz5CSCrTF4p2nndiAz9O/oK33vkXH3zwQf3rfd5+43vWi2SxUKfGVF0pjq3KPne9kmgahS6qVHRRjWjD9T+hbK9WWU/EKoMQUfZhz0pbF3VSZdDgJBL08U+PpIW+nEML17Jy42H7MxF+hcoVl7C+3PfYw9w6uC1ehSfYMXciH3z0vtivr5m8KJ5K766MeehhHrxziLB58R3nJrRu7IenNZcjG9YwdeoiTpdZqRC/XyXsWLG1n+1VQ5cRd3L7TUNpq8kW+yKS4/eEvX78jYjr+Xh06MGwYX1o5mJBJY6hWhxTZUU1tbU/95hbTbUiJos6ED7DLJyHX5P23HXbOPq39ib71CYmf/0pn01bzq5kFRX2jjzhV0S9WdGicYskurEr1sJYVs2ey+zFW0ipVdu1ba2tWvgg5aqh8hVxjkw1ov6qqRL7f60mmdC8I1DeKI9vHTp0KMXFxXh4KDcSXP3MwlJbicnBi8ZtetK7Rxeai/b+E2oHnF1c8HGx4RbSmrDmrenathUtwkNw9/TAzSuARuGNaRrVhk69+tCnTw86REQS1ak7Q7q1xkVdi9XBg8gO/RggGo6vMl7JIk6USRhJYHP69ulNl5ah9kd3O3pH0lZso2eXCALd3dCLLMo3KJTI6Ha0aBFFmPdvzX/63xEbG0tKSgqjRo2qL5FcbawmEwYRwH3DIunRfygdm4Xic/GZNCoHfHxcUeu88PYJpHmrZkS06UJ0ZCjBfj74eYtXYCChEVFENmtBu74DGTNmLEO7tyfQpe62ODsuZpKPHGbHvnSszYbx+oRRhDuKdmZfqEKleEOVDh+xD70GDqdvt3ZE+OnRi2Bt8YykmSgbPaC9KFN677XonIII9PclwMuHgOAQgps2pUXLaHr2GcqNY0fTv1s0wW564UzNIkGpxKdRN3oPHkCbcB/chV9R7i9x9gwiwNOHQB9fgsQ2wlq0omXnPozo0ZwWzTvTRbT7Tm0j8XOoTzYkV520tDSWLl3KhAkTUB4Lf72i9xAJaEgoTUKD8PcVbTYojHDRZiNataFbn0GMHHUTI4b2olmQh32aScUmnJ3d8AsIxEvYmU9AKOFNmtKybQ/6Dx3F+FuG0ibU3T5+3M3DC9+AALz9/IQvDqNpRDNaCV8+/KYxjBneiya+zsplNby83HD39sU/OIyoiFY0a9mFG/p2o010c9r36Ev3jtE09bRQa1YT1rgzfQb2Jrp5MMotMkoQrq6pxjewjUga+tO5fQRe9d1YLp6++Pn4EejrK/ZT8QWRYh+iaNt7ADeKfRjZtytBblp7Z1GNiPrBjdvTvU9XOrYNtj/V01xbgdHBl8j2venVtR2R3s74+/njKezbJyCY4LDGRLVsS+deI7j99tH0im6Ek16DTtRPYGgogR7ueAeEECRiXJMo5di7MGDULdx14wBahrigd3a3118jPy88gvwJFdtrHB5By9Yd6TlgOGNvHkGX5j641E3xcd1hMBiIiYmx21d0dHR96VVEEbZCZZkd/enSrTc9u7Uh2NvFnhxexMHJH1/R9oKErw0MCCIkMoLIqFZ07z1YtJFRDO7fWbRTF9HsxXnValA7izYd2Ii20W1o060XA/tE4eUWKNq48NNNm9CsRTTd+g2iV9uWtO7Qns7du9OheTgeOiGm3ZrTpXdfurQKx88+APyXWLAYrVRbfGglvh8VFUGTpmJ/IiKIqH81adyKHoO6ExXigZPJhk/TzsLu+tLETcQpqxr3oGZ069Gbbl3DcVWrsRiqsWicCWrWiT59+9PcvQaTypGQiPb06NWdjq3DCAr1Rm10x8u3CS3at6KVKFNs65eotU74B4rYFBhAkF8AwaKNh4l9jIwQcalNbwaPvInRIwfQs00ITkola51xUllwDw4loEkL2rRpSec+nfCklqAQUU/9+4k41hiP+ubt6u0v4rY4D8IPKfYVGqnYq/ABwg/dNHo0I3p3xt9FLXSBsFerTiwXdtK3C+1aBdqnyDXVlItz7UfzTv3o1aU1Tbw8aRzRlKCwAHz9A8VvNiGqRWtaN4+gtuA8RYZGdBrcj2F9muKodbHvs0ejpjRq0oz2ndoS3aEZSn9eWNNeDLihE5FB7mhtZpEYGql2CqVrn8F0bxkizuUf7zfPy8tj2bJlPPXUU3bdLnRHXR72wgsvMHHiRJKSkggLC8PR8eoKWQVTdSklpeUYRMNwEyfB85fxzmrGVJ5LbrkQLWIdX28vPF0cRIVXUFhYhsmqXMaom4tYK7JLZYYRg86FIH9vYeVllJSUY8IVv1Afu2NVWartN6EUV1lwdhMG5elCTanymGwTaicPfPzdxQkVhlBQQEmVkgQ4iWDiaf/Nq4lS4UplT5s2rb5EcrWxGGspKy2mssaI3t0XDzdX+zy9P2OioqiE0tIKrDqHurl83TSijdRSWVJKWWVt/VPXRLsRbd9TiAo3R4fLL8ZdWMSXb3/OhyuribjvTbZNHCec389uXsnuK0pLKKs2oHMRwVYEZmet8gTJUnKKqoTT8BCC2w0XEbx/wmaiqriEcuXqlDBFZZ4anYOLECpeYr06g1dm3CkvzKZcZPsuQmi4uzrWi6R6zCLbLykT26jFpIwZFmLHTVVDtUGF1sUdT2/3fztFn+SPsXPnTsaNG0dqaipubm71pdcxRuVprGV1V7zER5uwG2XYmruHB276KwgOm5FKYZullUbMyiwUauWeEiFKfd3qp5Wrw2aqobxM2GhV/YxMKr2oTw8h3J0vsUMTleVinfIqLPbL5TpchTHUmgzYHFxxVexWU0NxUZHYP2EvniKGCL+v7JUyi01pcR6VVVZ0rp54+bijv9QshC+oKRNxpFwRL2KBsEfFF7i5i31wrusRsBirRZwpobpWhaOriCE+dUJP6RwqEr7FpHEVtutjn+JYOQZDZd2+1hgt9qRboxPxyddLJPaX26O5NJ8S4YOUG3itYpEyFEPv4U2AsHUlGbqItbKYvIpKjEKU2bsmNTr0Tm54+7hd7hOuM8rEeVm4cCHu7u7ceeed9aVXEauJ2qoK8ksqRZW6CJ/pgbNoy7+qUuVKTHkZpWXiHNiX2tCJ9d1E23cVuuHi+jYRC4pFXKmorhXn0gFnd2983bVUCT1SJtqD0SralhDOWr0TWtF2jULbaEVC5+nmjKa2iLwys2ijHuKziGNXGhMpBKJZCNHcgoqfRx78AptVi7tInp1EW6wtLqRc2INnYCAuaiNVwobKhS7SiZjk4+eKTrR3RWeVl5VSJZJUN59gEUMqxXGWUm3U4OzigbdITIXUp0yISEVD6cQxe/t72udz/y2sBrFNYRdKXLbUx1dhVLh6Cp3lpr/M/s0VxZSItl1pEHXq4Ii7rzem0jyqaqzohX7z8v5FGxdxr1qx14r62K3Yq5MTHsJePZQJIcS5URKTYmGvNcox1PsSxV6NlUXCXiux6j1xcXHCUpTC+fM5FJXr8AoLJqSRF+rKbE7vXMTHH05ij2E4T732T759tJP9pw0l+RQJexUuEEcXF1zcnKgtKRC/4yQSd0/cnB1QK3pW+IWc4hp0bj54ubsITXLpAfx3nD59mttvv524uDi7bv9TRfzfFSniGzI2zIYqyjPziV3xBJ/P2clh3Uie+uRTXh4cgUaK4789fzsRL5H8yVxzES/522Isu8Ch1d/x2vsLyTL14Y4JD3LfPW1xyD/C4knvMGneabI7vci7Lz3BG0PsD534n/JLEf/H+/YlkusYq7GSzJPLefi2/tz6rx2sygmjadtW3Ng6GPuzByQSiUQikTRItA5O+AWEotVVUl60nO/eHEuPiEg6db+DT36MI6/Ei9tH92Zon/+9gL8SUsRLJP8GZaYZJxc17l7KPMEaIeDb03fEIJqGOCM1vEQikUgkDRe1kzdNe47n269eYvgNjfH0VOagUtmHvnkED+ShD7/lnyO70uUvOjhFiniJ5N+g0jjh1bg/z/5rCtPnLmLah6/xwKBO1E0sKZFIJBKJpCGjd/Mjuu89vPL690yfPo85c+cyZ/YMfpj0Ns89MJy2jbx+fX/EXwQp4iWSf4dKKww8jA49hzJs5BgG9ehElK/7X9agJRKJRCKR/D/RBxHdfgA3DB3FyJE3MmLEDQwd2IFmgS5/6eetSBEvkUgkEolEIpE0MKSIl0gkEolEIpFIGhhSxEskEolEIpFIJA0MKeIlEolEIpFIJJIGhhTxEolEIpFIJBJJA0OKeIlEIpFIJBKJpIEhRbxEIpFIJBKJRNLAkCJeIpFIJBKJRCJpYEgRL5FIJBKJRCKRNDCkiJdIJBKJRCKRSBoYvxLxKpUKvV5f/0lyNXBwcECr1dZ/kkgk1xOKv1T8pqOjY32JRCK5mii2pdPp7LFUIvk7o8Qbtfpn6a6yCZQ3L7zwAhMnTuTcuXN2Q1FWql8k+QO4uLiwfPly9u3bxyeffILZbJb1KpFcJ7i6urJ9+3aeeuopdu3ahaenJyaTqX6pRCL5oygJcnl5OevWrbPb27hx46itra1fKpH8fXB2dubEiRNMmDCB5ORku27/lYjfvXs3q1at4sKFC/bMV/LHUOowJSWFnJwcevTogdVqrV8ikUgaOop9Z2VlsXfvXsaMGWPvAJE2LpFcXYxGI+np6XZ7i4iIwGKx1C+RSP4+KCM6CgsL7Z3CZWVlVxbxp06doqioyG40SgYs+WMomdOWLVs4fvw4zz//vN35yJ54ieT6QLHvQ4cO8f777zN79mzc3d1lT7xEcpW4qEEqKyvtV7qUK9s33HADBoPBXi6R/J1wcnIiNjaWDz/8kMzMzCuL+ISEBPz8/OzjbqTY/OMol//mzZtnv+Q+ZcoUOZxGIrmOUOx7w4YN3HPPPfahiN7e3vYOEIlEcvVQeh2XLVuGm5sb9957rxxOI/lboiSxSqfR/fffb9fqVxTxSUlJNG7cWA6luYqsXLmSzZs320W8RCK5vtizZw8333yzvWdE6SmRSCRXF6UnfsGCBXh4eHDbbbfVl0okfz9iYmIYP368vUde0e1XnGJSjje7uij1KcfJSiTXJxf9pXKVTSKRXH0uxlCpTSR/dxQbuHQ0h5wnXiKRSCQSiUQiaWBIES+RSCQSiUQikTQwpIiXSCQSiUQikUgaGFLESyQSiUQikUgkDQwp4iUSiUQikUgkkgaGFPESiUQikUgkEkkDQ4p4iUQikUgkEomkgSFFvEQikUgkEolE0sCQIl4ikUgkEolEImlgSBEvkUgkEolEIpE0MKSIl0gkEolEIpFIGhhSxEskEolEIpFIJA0MKeIlEolEIpFIJJIGhhTxEolEIpFIJBJJA0OK+IaCzVb/5m/If3Po/9/v/J3rVyK5XpFmLZH8Ry4Pf9JoGhINV8RbzRjKMzgXm05llaG+8DrCZqWq4DwHDp0hPqMQq0pVv+Bq81sGa8FYU8Dxg0dIyy2k9n9p1yorBbEHOXnkKOeyKq64x1ZTFQXnT7NlXzxZJdXiO/ULfhMbxoocjh89RXxaNuZrVr8SieR/hjBrQ2kO5w8fJL4QjNb6cgWLgerceLZs3sTadetYv34968XfDZs2s/dkIuXVpvoVJZLrG5WqltzUBJJjzlNj/WUstFFelsW+nZvZsH4dm3efJDO/on7ZpVjIyUpg19YNwpY2smPPGXLKqkWp5FrSYEW8oTqDw1t+5Mfl+8kpqKwvvX6w2cwUxe/kuylLWX8wgasbTmyUJadRlJlDtfnSqHYJNhOVxQn88NX37D6VQNlvrPbnYCJuzffMmzqDVUeyryjiTVUFxG+fz8ufrubIeRGt/wM2m43KnFPMnrGQ9XtPU1tfLpFIricqSDq+njkTP2V9so0qc32xwGYoI/fYUl5/5QWeeuppnnnmGfH3H0x4/iU++XE9WUXV9WtKJNczVqrLdrNm4SxWr91H6S9Ud0V+HNsXz+Dt154XNvI0/3zlQ6at3ENiUU39GgoWCjMPs3zO17zywjM8/cyzvPT6RGZtPkZm2aXrSa42DVTEF5KauJ4vP/mWY3kl1PznbteGhxCZZkMlBQUllFVdZYlpqmLL1EUsXL2H04bf6GJX2cQuWKiprMJoNl9ROP952DCUFVBSWERZ9SVR+FJEfVmM1ZRX1or9/X0Zh9VcS3FRifhOjXBjEonkeiP3/EHWb1rAwpMxlAtfd6kfMxtqyMuI50JOPkXFpZSVl1FWVkZ5WTmVNQascoid5LpHUexJzHzrHWat3Ei8SUTCy5p9OnsXTObLpz/hWGIOpWUV5MVv5rPJ0/l66b76dZQvxLN4yvvMmPIjsRmlwoaKSTu3lne+nsv2I8l1q0muCQ1OxNuq81n33RSeGvMv9qTaUNqc+rodCaFCpap7XVUsRlIKYsmqzMWq0dYX/hInvIN78t3CmdwztCf+mvri/xVKHdTXw5Vqw8GzEb0e+phjK19kbKdG9aX/Gftmlb91HyUSyXVCybnNTHvva776ciflVp297FI7NxnKyc8zUtv0Cb5dtZfE9BSSEpOIOXWUlROfpkWIR/2aEsn1iJXSC+f56rE3+G5pPAlFKhy0Qm/UL1XI3vwD6zasITFiAI99vJmTZ+M5u2chT7cuI377KqbFK2vZqNyxiM17MnDt8QSztp4m9txp1n77DN1KT7D3eCxHjfbNSa4BDUrEWw3pLPzma75duJ/cRt0ZNrQjDg5arNYG2mNiM1FTWU5JSQnFxeVU15p+s0f45yMUiUttpch0le8ovUfVmK94+Baqy0soLSmmrKwag7F+JaV3vaKYKrGNykql16lCLDNjqqmirFp8p6aa6gqlR6pKJEga9Ho9Wo36EsO2UltZSmlpsXhVUmP47RFvNptVbKuUaoORyzvHxe+UlVFVVWNPwuqKjFSUl9nrorSsklqxT5diF9oqZT+sGK219vXKymsw129YcT1qrQNOjjo0l2V1FqrKS8X6xZSL9Y2munr4eY26d5dWodlQRUVZ6U/1a7L8soKtoi1WU1laUrcfog5rDb9xhUAikfypWM3lnFw4i+df/5KtGUZCu/fBx9vFvuzSznVjbRX52TXYItvQLKo53s4e+Pj54evri5e7i/B7l/oRieR6wkxO3F6+e+YNZp+pot/IfrSPbiK0wKUDdys5tzeF7PIoutzyME/e0ZmwIF+Coocwbkhnwl2qWb03VaxXRdyJZDSB/eh343hGdA7BPyCE9l170tSnhvLSMi4U121RcvXRvCNQ3mzZsoWhQ4cK4VKMh4cHWu1v9dD+7zDXJLF38xlM3i0Zevtg2mvPE1PTlMFdWxLo5Vy/1l+P2NhYUlJSGDVqVH2JkJbluSQd3cXyJXOZv2w9G9cfIq3UiN7bmwAvF9RCbJemHWfdoWLCWrWkX4cmaMzVlCSdYP3KRSxcupwVq3dx9HQmZk8fgnzd0QuxbaemhMxT+5gz4zuWrF7Pnv0ZlFS74Bfuj7O2kJ3ff8TKHYc4k5JBdnE1pVpf3FM2MPlULeePbuDIuo1sOlZKSKQTa2YvpcbVE+9AX/SWGgqST7J85pfMX7GebTtiySnW4BIQio/bpUK/DmN1Obvmfcr+Qhc8vHzxcVF6w4xYa+KZ/fEMUg2ueIcG4mrM48T2Ncyau4BVa9ex+0As2dVqXEOC8HVU2qGZ89sXc65Yh8HVB13SOibNXs7+49mg9yAgxBedsYjEfav4ckU6niH+hCrtoapQHM8OZs6YzLLV6zh8LI8qkzt+YX6iHmzUFCaweVcy3k0i6dmlpTi+WioyYtixbjELlixj6crtHDqWQpWTG37+3jjrNOIYrVTkJnBi/QLmzFzCqk0b2b33FHklVjyCGuHhrLmOrwxJrkRaWhpLly5lwoQJ9qRX8r9FEfFn1mzhZJUbXYf2o1OEO6lJaTQd9DDdQ1U42UObhfLsJHZv3k5ui9EMbuqIn7qCooparGoHHIWtS/46GAwGYmJi7PYVHR1dXyr57xEJbOoZdi09Q/j423m0pwPZueVU6sMZ2r8Trhol2y3l+OLVnCoNIHzEeO7s6FX3VTQ4ViQSE5fJsQJ/7h4RhUrlQuP2/enZqRmBrhayMjKIP3uAgweLCOvWn959mhMsTeqqkJeXx7Jly3jqqafsur1hDafRetF92Gie/MeDPHhDJ0K1RnEAl49zbBDYyoWA387SOdOZuXg5q9asYe3alSxYsIB12/aTUmIWRnGJErT3QAuzyzknRPU0fpy/kMUrV4vvrGbFyuXMX7qGc5klGOyd0hVknjvA0hlTmbVoBStXr2b5wlksWLSMrUeSqRZCPOXITjJzs0mKO8vRvfs5nJxHxtGNzFqygNkLFrNy1XZ2HomnpCqLdctXC7GfRbXVRkVWAjuWz2XavGWsWLWaVcvn8ePMeSxceYhCcRJ+eR7MxlpSj6xjwaYjJGeX1RVaqqhO2cHcuSs4fr6Y2uo8Mk+u5cdp01m4YiWr16xlzfIlzFm8gsU7T9Ufkwq1RouxMp+k03tZvXw5a0WdzZs5nekrd3M0rRy1WRz3iW1MXXyA+Fzlzvka0k/tZN6kScxdvFLU8SqWLPiRRcvWsC8m2z4S8KcqFvWrGIKhKI0dS2czS9TvwhWrWLN2DStXLmPBwiUcjs+uuylOJAtJJ/cyf/Y81qxbx9p161m9YiHz5y9g6YaDFNQo/fQSieR/g02YsyOhnXvx4D+e4ak7RtGzqRdam/Cp9WvUYaa2qoqc6gpCrXns37CK77/9jqkz57Jm1wlS85UrcPWrSiTXHSo8giIZ/vDDPPfweNo1csddZeTni86KtTjg5KJBo66kqrxIWMzPlFfXUJlXAum5lOBI4x6jGDawA238q0k8sIkZM2bw/exV5Grb0q5VFNEO9V+UXHUalIjXOUXSZWBv2rb2R1dda58urMEJeIG1MJmtG9aw/EAyHt1u5R/PPcdrb95DW68izu4RAvpkpn2g/0WRqVJphDAsI/XUNr6evZ4i/w7c9MAzvPnWk9wxujmFh9ez6XAqRdWiNkrSOLB1NT+sPIh/30d4fMIL3D02EK3xCLv3HKfK6kXH0ffROqIZXXoPYPRdtzEq2hedoytuqdswOwTT9uZHePLxQYR7qnFzdUbvoEdlKiHh1G4WL99CZYt7uO/JF3jigc7C8GPZJoR3ZpXSt3U5Dno9bXv1oVK5Obe41F5mrSgla99+SkM70rpzW7wqTrJ7zSzWxlbR+5b7eOaFl/jH3X3xrk1k7fwlHM22fw2NVktFTirpGXkYm95on0liSCsbh04fZ+PxNPFjOrR6Z9xdnHB01GIojmH3uiVMXnuKZkMf4annX2D0IE8MlUc5cCIJs1WlhHv7tlVqpX5N5CQdYca8VZx3bM6gO5/kjbef4f7bO2KL286G3afJKzNjKc7g9LETbE13pfdDj/KPf77I4/cOwMcxm00bNpJVbqahju6SSBo+yrA6N9qMGMrAbk3x9tBhqjb+ZOs/YTVTXV1Ffmkx5ec2snLBTL4VIv67775h8rRZrNwdQ3HldTh1sURixxXfsPbc8NBwGrtphT3YREwUgesyM3ElsIkPrpZM0g/v4lhaEWUVVVQUJHD0TBIxcYWolaGkYs2Lsd9clEXK8U0sWrSYzQezqPJ1Re8k9EP9csnVp2H1xF9CQ9ZJGTHHOZVvw7PHbbz39uu8+PLL/PO5N3j9yfE099dy9PhpsdbPp0ajtlFamMmJI2fJjhzOw08/z9uvv8pzE17j5Wcf595+oew6FkdBWTkVWWnEpZdi6HArL73wAq+89CKvvPoGE568l2E9m+Kk8qDLLQ/SJqoF3foN4ub772RMWx/U4ucMmR50HHw7T731CPeN6oKLMt5cqWiRRBgqcsjMzSFP35p/Pv88r7z8Ei++9Dqvvfo4D97dBS9hxapfnBSN1oHgyHZ4FORQWF5iz+SrynI5sDMRx6a9iAq0kbhvDzsOl9DmtqfF9l7m1Rdf4OW33+afYzsRXX2MWQcuoMwdoxEbt1r1NIrqwoOirl548XkeulUkGjpRN7kFGJUDqEejM3MhLo4ziWVoBj0s1lXq4SVeFXX21EPj6RsdiKhScWx1O6wW362uLST+9EkSPDty/+PP8M6br/H8sy/zyvPP8vgt3UiOE0G9uASLqZZKZR56ayjh7QYw5tb7ePbZl3jlxWe45+be+Dr8Si5IJJL/Fb+VUZvr7keqqCgh22Sm+8238vJH7/LM7f0JvLCXmcvWkZFff/VQIvlboqPd4O60bKIidfMcJn70MZ9++gkfvv8lCzcfIrms9hf3y4mQ6hxA855jePPNN3nt8VHoMzYzd/Um1iRef9OA/1VosCK+IVNaVEhFcSE5cadZO+VzPnzrLd559z2mL9/BgbNpZGVkUylMwy4HVSrUKgs11ZXkZOdjKs1l/7LZfPvBO+I77/DJlzPZdjqdhLOJFFZWCCFfTJXNhZAuN9IryhNHjQOeYd3p2e8mhvduh5tOiFyNVmxTLf5qUG59sOtfZYpG/040btKUJvZLXz+bpkqsYKoooqrWhGPjroxs54uHXoujd0t69B/D+NE3EOYqtvsL9aoMgQkMicRffZ6k7FKShIqvLUhnW1IpEd26EeZlpfBCCXFJFeSc3cePn3/Mu0LAv/PRtyzdepS0ggpSYhOpspqxWC24+YfTvF1n2kU4if3WEx4ZRoCzOICaaqp+vmyB2lxLSVER5XjStPctdAj3RKfSEygSh779hjOwYwRau4qvQ61WYTTUUJR7garCIo6tWcjUj//F2++8wwefTWX14SQS41LJq6xC6+VPoL8bpuKDzP32Sz754G3e/GABe88YaNGpC8Heul/Vg0Qi+YuhdiSweRcefu5fvP7sP3jy4Qe4/76HePSJR7nrjiHoE8+QUFRM6W/kABLJ3wGHqKEMv/kehouYf0Doju+/+Zptx0sJDW1E5+a+Ihe2XDZ8VOseRON2/Rkz9mYeevRh7uvjS9Gh42xccxp5XevaIEX8/wCLaPXqilwyjm9j5tTJTPr+e7795ntmLFrDnh0nSI/LJEWIaIsQg3UnSJmzHcy1tVjTj7J24Wzxne/Ed75l6oy5rNlxnLx9Z0krqyTPbBJCVoOPfwiuDvVqUgQsJ2c33JwdhWBVtmUVL5t9HmSr0tle3yNt8/LD2cUJu4avL7MjhLG5thqrSYh4Dx+8nC42GyHkndzwcHfjiveBCRHvHNiUnpFaMnLz2HkgkezUdGJtbRjcM4wQLzUGk4oKIbgT96y018V334nj+m4qC9ft5Fh8DrlH4yk2mTGJOtC7euLh6497/eYdnZ1xEsmEmssdicpioVrUlUmjIyAwrP5GNqVa6urBxVFJYi6NziJhUurXIOo3+yzrl8xjsqjf7779lslTZ7Fkwz4yDsaSUFpOpWsTOg0cyX0PDsCn/BQbVs1nyqwZ/DBzNkuWb+BURikmOZ5GIvlro3UkKLIDN9/1IDf3bE/LYD/cHN0IjGxH2+79aUwxRcZaKi91LBLJ3w1tMB2H3sZTL/+T5yfUPRDt0Sfv5cYebWjk54bZ0xVlSpGL4V+l1qLTO+Pq5o5XcCv6dArDy1BOXkousi/+2iBF/P8Aq9mIzjuMFj2GMu7WsYwZPZrRo0cxdtzdPPLAndw7sht6RZYKZXlRDtqsZlRaB/zaDmLYqNHcOnYMo28azZibb+H2ex7kH/cPoVmgJxp70FFTUfNbz3itE/ZKL79y86zSC//TzLA65cMVupHFTqgddMKgdZiMJjSXDF3594j1XIPo37UplowL7Fm7nTMXcjFHDKJnE1e0Ghu1BiNOnn50GCTqYcwY8RJ1IY5rnAiuDz76CPcPjsTNQWOfRlSl0YiX9uLeil1VC6ch9v6X08GI/XPQCqFuU1FWa/yN2WIuL1QSG2Xbns16cMPIUdx689i6+h17M+Nuv5cnHx5NC1G/KpG4NO06hCeffYZ/PHIfd996C2MGtSNAlcHB9YvZdjydWqO8I04i+StjqS0iPfEkW3akoLd3BFxECBD/AFycNOhF4e/1dBLJ9UhF+mGOHTpFgUNbHn7pBV548SUeuXMAXi5ailQO+HdogSflxG3dwKZtp4nLufzprBqbDk2VCUtNDXKq+GuD9FH/A3RCLOsDWtJ55D+Y+O0PzJg5k5kzZzHlq494+63Huf22/rSwWoQB2HW8XXAr47Zd3D3x7nAb/3z7a6b8MIOZs2Yy44epfPTGBJ58+Ta6NQogVO8ivldLRuxBcoXx2DFVkX8hk6SUTKoMFvs2VZgwmy3Yp4W9qGeVBVdCCFwHN28cHPVUZ8WTUlRdl1zYjBTnZJIYm0BuufE3hp/qadWlA8FFaaRs2ciRvHIiuncj2D51pAM6rZXg0HD63/U2X06ZwYwZSl1M5+uP3+W5x+9h3N29CFIJR2C22q8cKFcNfv6Zus+XIT5bdXq8PD1xNleSfHIPBdV19WCtLScnK4OktLzL5n5XtqgWyYujqwderYbx9KufM2Xa9Lr6nfEDn7/3Ak+/dDf9mwThLLaReyGbYpoy5tF3+Or7Gcz//n2eG9uRgJpUEtNFkvI7nxgrkUj+N5irczm1cwmvvfgvNsbmCBlSX16aSlrMIfIc/Qh0dMJNRkjJ35iyUwuZ/eX7vD9tJ8V6J9zd3aDgPHsPxZFS60yXwZ1ws5VxbOb7vPPOV8zefJrq+u/aapI5cug8BSYHvIL9cKovl1xdpIv6HxDaog3epUkcmzedTxcnkpCbR1F5JQdXfsULLzzD45+tEWdGU98pLkQpWjwCgogK9yN37kdMmbeHHedyKaosJ/HUAaa+eS+Dn5/FseRiAsMbEazLx7r9A6bsOkNybgmZJzby7Xuv8+BTHxOXW43FpsJBX0lBbg5JicWU1SiDVa6owO3YbBa0Tn746qzo0pbzzrqjxGTkU5h0jJnvv8Zdo+9n9uFcan9DvKpbdqGlfybWjF3EpVjp0S1ciHfl4IJo3z6Kls55rPvqG1YfTSY9t5iirJOs+O5tHhx7G08sTKBS1EDd+v+JumOwWnR4BgeJROEC1ateYdHBWNIKyojdvYIP33yTh16fTlltXW+5UsdWqxVnT28aNW6Ccdt0vp25mzXHs8mvrCAt7gSLv3yMEY9/xvGkImpSDzDls9cYNuEHDh/JJqeolCqVBkcHV7w0DjjrHa54MUMikfxvudTD6V1DCAttRKh6B/96dw1bjqRTWpzCsaXT+eH1d7jg24wQDy/cpC1L/sYEhrfG1a2G2HOrWLg1juz8QtYtXMiGrak4ODdiaFflIWqh9BgVgWf1dg6uX8LaQ5nkZWdwasmPLNx+AFuPDvQdNxjPuk1KrjINWMQrvbAWLFblb31RA8G3dXeGDOxGE9UpZrw6hMFdu9C+dUvueGkuGaYwRg3rLtZSxq1bsVismIwW3B0b023YSG5oZWP/rH9wz/CutG/ZikGj7mHWQbh1VC9C/DxRh7ak37Cb6OTlzKwnRjOgS1u6jHmapScK6TRgMI0C3dA5OBIU7kvK1h94+7EH+OeSJIxmpYe+bpz8z4jPFlHHZjN6tyDadBrIwM4tOPjuXQzv1ZF2A8fx1bpYAruOZHDnRjhof6M5aVvSvpkvAe5qMspc6dZYGUNfFx1bDB/L2EdvwiFlMa/dMYjeXdvTsddoXpm8G2Nobx4f2x5nkcSYTCaxL3W98Rex768Q4EobUCK0TXkv9tdoUOHfojs33HIL0SojEx+4kT6d2jD4vjfYk2Zk4ND+uDoqD56y2dc3i2074UXrHgO5sbsfsWtf5vEx3eko6rfv0Fv4eHkhvfv3IijAC9ewFnRr24SQpO+4+9budOvSjpY9b+SBqds436gPQ7q2xElf94h3iUTyv6fOj9ZdgfwJBw+atOnK2O59qDn2CU/f3Ivotv25+c157HfozJibbiQsUMoOyd8EYSNKfFX0xqVmom0/lP69e9M6/RDfPDiU7p078vDH08hq3FHE11EMVLrXVSoi73yBsd26YNyzgGfG9aJL916Mfm02x7T9GTd6AHd2kE96ulY0qCe2XoqltpLiC4lkapvTu30Ufu6O9Uv+evzqia0qV4KDAwgNdMVUU0RpjRqdVkNzIQbH3nYXY/tG4+5gpaogjZgsKxGtmtOpZSiu7n60jgoU+r6CymoTRquaoEaRDLrjH9x3Y0+a+DmhVTnh6xdApBDpBdlJ1FiE8QREM2DkbTx610jCfRxQK092tRaQX1BEpdmLMOVmLs9SEqpC6Nm9Je3CleBlxVhTQsyZLCI6daZpk1D8PX0ICfSlKjuGcoMGs0c4vUaO54knHqBTuDMX76P9NVr0tZmU2jSowrtz+5CueOjrrzTo/PDyCyLYU01ucan4VTXO3sF0Hjyaux96iOHtfHBUWck/d4R8AvBv04PuzbztI4BqitKIy7Lg1ziCnu0DKU9LIqbUn/59W9EsIABf/yCiGnuTk52GwaLGpWkXhowezwNjB+LvqsZYmcO5pHJCoqJEEtUUVxcvoiKC0KvKRf0aqDWJhCu4ET3HPswDtw6lRYg7OkdnPL088HMU+5RWgFUr6tPXj1YDhnPH/Y8wsn0jnPW/fnqt5PpFPrH1L4zNQNGFDJJzKmje91baBapwtOsJ8dfZlZCQQJHAF1FSacBocScoqjf9bn2EB27pSqino5xp6i+CfGLrNaYsmdgLBjR+zenTpRXOP2luEeuUJ6cHuVGQn4/ZpsO3U0/G33k74wd2xVuZHc6OH6FRITg4qyguKhRx3Y2giD7c+dh93DK4I0HO8mlPV4tfPrFVZasfVPzCCy8wceJEkpKSCAsLw9HxryuKFSy1FRRmnCPZEEDrpiF4uvx1G4lS4UplT5s2zf5ZqXBlAklzWTbx8fGk5lfZe7t9wlsSERFJsIdOrGQRIj6Vk8mVeAcH07yxf/0d4JWknxPHnVVIWZUBF3dvGrfpQmSAiz3g1G1bUFvA8cOHyC0zU6P3JyKqOe2b+v4kLqtKz5MQn0JOmRbvoKY00udzJs+VqGZhRIrkQnl8g7G6mNMnkvFtGklgkB9OypeN5cQd30takYkqlRvhUUovezD/qe/ZXJhIcmauEOJBdIuORH/p8BhxrDWFaRw7m0xpZa1wAM4ENW4m9iUcD/tBW4SIP0RmuQ59aAtah7nbj6OmMJWz58vRefqL5MaL0vNxHM/S0yY6nFBvl7pjrc7l8OFjFJQbsbmH0jSymfi+kqTY7HPfn43Nw8XPn0jRhuqOoYacpHMkpOdTXF6Lk6s7Ic070SLMC4eLFxpstZTlZHD2RAKlyn0Fjnr8wiNp2SwK35+cn+Tvws6dOxk3bhypqam4ubnVl0r+EggRX5iZSuz5bPzaDCDCW/WzHStYqshJjiFWJORlVSqcPUOEGGkpfIR8QM1fibKyMhYuXIi7uzt33nlnfankqlGWxLnzxVQ7+BPdsgmOl11Ut1FelsXpYzGUVhnRBoTSKiqKcO+L88RdxEx2VjLxMUlUGlU4iXjbumNzAt2d5Ljtq8jp06e5/fbbiYuLs+v2BiviGxK/FPH/Fcpp+sODrX+S+P+e3/it3/72f9ru7/zdq8m/ra8r7M9VqV/J3xEp4v+6/A88j+QaIEX8teVyO5FW81fmlyJeJkgNhasiMH/nNn7jt3772/9pu1dj3/+f/Nv6usIyKeAlkusOadUSyX/mcjuRVtOQkCJeIpFIJBKJRCJpYEgRL5FIJBKJRCKRNDCkiJdIJBKJRCKRSBoYUsRLJBKJRCKRSCQNDCniJRKJRCKRSCSSBoYU8RKJRCKRSCQSSQNDiniJRCKRSCQSiaSBIUW8RCKRSCQSiUTSwJAiXiKRSCQSiUQiaWBIES+RSCQSiUQikTQwpIiXSCQSiUQikUgaGFLESyQSiUQikUgkDQwp4iUSiUQikUgkkgbGFUW8RqOpfye5Gij1qVKp6j9JJJLriYv+UqvV2v9KJJKri2Jbip1JbSL5u/NLPamyCZQ3L7zwAhMnTiQ+Ph4fHx8cHByoXyT5A7i6urJgwQK2b9/OpEmTMJvNsl4lkusENzc3NmzYwP3338/p06fx9vbGaDTWL5VIJFeD8vJyli9fbre3u+++m9ra2volEsnfBxcXFw4fPsyDDz5IYmKiXbf/SsQfP36cnJwcampqUKvlaJs/ipOTEzt37uTUqVM89dRTWCwWKeIlkusEZ2dnjhw5wueff87kyZPtSbuSqEskkquD0utYVVXFvn377PF00KBBMlGW/C1xdHS0d7R/+eWXZGVlXVnE7969m5UrV9pXUHrjJX8M5TJgamqqPTHq3r07Vqu1folEImno6HQ6u69UBMZNN92EXq+XNi6RXGVMJhPp6en2eBoREWHvDJNI/m4o7b+goIADBw5QVlZ2ZRGvqHwvLy8ZjK4SF4fTKL3x3333nRxOI5FcRyiX9zdu3MgDDzzAyZMn5XAaieQqcnHsryJYVqxY8dNwGmWkgETyd0MZTqNc+X3ooYd+ezhNcnIyTZo0kTeQXEVWrVrFpk2bmDJlSn2JRCK5XlB64ceMGcOFCxfsnR8SieTqooj2+fPn4+7uzvjx4+tLJZK/H7Gxsdx66632v4pu/9Wgd0XTK5euJFcPpfddXtWQSK5PLvpL2QMvkVwbFNtS4qi830Tyd0eJN5eO5pB3rkokEolEIpFIJA0MKeIlEolEIpFIJJIGhhTxEolEIpFIJBJJA0OKeIlEIpFIJBKJpIEhRbxEIpFIJBKJRNLAkCJeIpFIJBKJRCJpYEgRL5FIJBKJRCKRNDCkiJdIJBKJRCKRSBoYUsRLJBKJRCKRSCQNDCniJRKJRCKRSCSSBoYU8RKJRCKRSCQSSQNDiniJRCKRSCQSiaSBIUW8RCKRSCQSiUTSwJAiXiKRSCQSiUQiaWBIES+RSCQSiUQikTQwGpyIt9RWkZeZTszZGM6diychtZBaa/3C6wYbVks1WampFJZWYPyfHJ8Vs7GSjNQ0isoqMdnqi685BkoLiygpqsRoMlCUHkdWfhm1pqtVCVfazh89OBvV5YVcSE2hsMKAxXb1KstUWUhJZiwF1X98LyWSvyPmmnIK01LJqxLv/40R1ZbkU5B1gYKa+gKJ5G+DmYpi0f6zC68Y602GCnJSEomNiSEuIUNoguorRFIbtaX5ZMafIybmHInJ2VTUmmTcusY0LBFvrSDxyG4WTp/KJ598wqeffcXXU5ex8Ug8uQZT/UrXAxZhNPlsXraU43GplP15CvoSzNSUp7FyvtiHxHQq/6RdMBQc5MTRw8SeL6OmooST66ay7UgCBRXG+jX+O2y1FRQmpFGQViBqVykQwjs7h+KcQmqq/9i2lfN1IfEomxbM4UhqMSbL1assU8l5Mk+sYPuxLCoM1122KpFcY6qFqNjH+nlz2Z8pRIbd+K9ECef2r2X9qg0cL5AJs+TvhIiFpcfYtWkNu/edoeIXNmKqyibh0GrmTvmOzz77lC++nsbCLUdJLBRZ8SVU5sZwaN0CZnz1mVhvIl9PmsPKA+fIrTDUryG5FjQgEW+l8vxeNq1cyKLFy9m2fQfbtm5i3eJZfDdjAVtOJlFWv2bDx4rZVMju9Rs4k5xJxf9CxNusIpEo4cyxE2QVFGP4M3bBauT01kUcOnmGHKMDlqpiYrbNZ++p8xRV/7EkrSZNOKmVu9i9PxXFpdisVpJ2bebQsViySmrrVvqvsVKWl0HssSOkF1VhsV69ytKpDdSUpLJz0y5yS2queB1BIpFcmcILZ9i+dh6z5y/kWI4Nw5VEvNVEZuIBVi+ZwYLVm4kptuf4EsnfAAu1FSnsWPkj84SN7D6ZSM0vgkxmzD7WLpjMguXr2LptO5tXL2XGwmWsFwL9Z8o4sWU5C3+cxWJhQ9u2bWX98oVMmbueYwnZ9etIrgUNSMSXsX/+VHadSabJwLF8+c03fP7BKzze25HEjbNZsXoXccL5Xh+oxD81Dno9Oq0Glaq++M9EpcPFsxkPPv0YvaOb4XGt90EIeLIOMm1uEqWOYbTu4oeDkKxavTMOOg3qP/j7xXEb2LhtDztiizGLz4qIP7VzCfti4siq+s3uud+Jlsbt+nP7U/9kQHN/HLRXz6x0IV1o1OMenHM3kppTQOX1dMFJIrmGVGSeYt3s+cyat5kEo00kxCLg/cKPWC0mChP2M++bmSzbcpwLFjWOGsUDSyTXOzbKC3LYPHcO3327lgPJhZjdnBDN/2fKzrJ30xoWHyyk2U2P8/HEr3jj8cF45O1nw+q1bLfrc5Hx5h5k+aqt7C8OoPcjH/DFZ58wYXQ0pbu3skOI/TT7xiTXggYi4hXZlcm+9bE4+HVl+F0PMW7saEbfMp6H35jAaF8N1sQUErIuv7zzV+b3dvQoPUIaJfr86WjQuwTQa1B/moUF4HSNd8FmMpBzZh3HPPoS1KwDLR3EWf+pR1ukNFp9/fv/DpWlhBqbEbPOCRfxWa3TYTIXY9Gq0Ds62tf57zvf1PiGNqfLoCG0CHYXYuFqSgBHHN0b0cLbwLHkbArK5aVJieTfodxPlLh5JW+88hbTN5+i1LUx7u6K1QsuMXJjeT7Hl83jmeffYO25coweobgJEfMHHIFE0kCwUXD+BHPe+hf/+nE/Hi1aExrRCLNJ0Vo/U35mA3GxqTiEDefBxx9izOibuOdhob+6NsWYncrsffn29SxJR7lQ4Upkz5t46LG7GTNmNPc+cDe9Io3EpqSxO86+muQaoHlHoLzZsmULQ4cOpbi4GA8PD7RarX2Fvw4aXH0i6TRwMJ3aNsPDSYtOLwSZr56U+cvJVgUR1LsfXUOFE/6LERsbS0pKCqNGjbJ/VmKECivFCbuZ8fX7zFmxmcOHDDj5hRDgrxdHasFoyGfT0p00FSJae+E4OyZ/wcyNCRRpmtO6kTPqelFtNFVxfMe3TJq+iKXL1rDn8HlKrc40bhqAAyay9ixi6uFKDsbEU7x7Ft/OScKvZTQhXlqyT65n8cyvmbp4CxuPJIn109m77QAJaZUENQ3FVpHE3GlLqHTxxt3VRMKxQyxZfYA2bapYNWMy039YzZEkK04BzcT26vZHoTz9JFtWzOLLaYvYsPsIxdX5HFq5klNnMlCFtyXI9dci11CSxrrZM7gQcR/D+3YgykdNdWk+Z7ctoCRiGM2rYji4fhFfz1lHQlIhQe3a4qWr/7KgujKXXRu+Zsr0pSxbup5DZy5Q6+hF4xAP8mO2MX3WYrYfSyC9qoyM8hyMu+cye8thTiec52QeVLk2oXOYs1AAhRzfOJ8fZ89l1rxNHDqehT40nAAfZxSLMBQmc+jIEebsTqNpwXImfreV89VayvOSObJ2BbluEQR7uaAVQr5GuZS/Zh6ffj+PjRv3kVKmwyvEHx+niztuw1KWwp55s5kzczaL1m/l5KnzeES0J8Bd83NvoKWW8qwTLDipoluLRoT6udUvkPwVSEtLY+nSpUyYMAG9/o8lm5I/jsVUxN5pCzlQ6kanwX3pHOFKRmoWEYMfoVuoChE67JTnprD7x5Uc1TZl7M398VGVUmbQ07z/WLoFCB8tu+P/MhgMBmJiYuz2FR0dXV8q+e8pJSt2H8u/2Ef43XfycDcd+fmV1Do3YUi/TrjWd8cn75jLrphaNK1v5rHbO4mYK3SXmzfkxhCfXMB5orhzYBg1Z1ey/HANge37MX5EK9x0DjiJvPnYnrXEWxoREtWZ3uGXBGzJf01eXh7Lli3jqaeesuv2BiLiFW/qTHDzVjQOD8Rdf0m3sC2DeVPnkuHWgs5DRtAh8K/XUH4p4lVCXF84to2533/DtzMXsWXvUU6dPk9xrSveIY1pGuiM2ZjL5pXbsJpyObR5BbN/XMPW43Fk5uTh1qQVYaGeONakE7t5Mm9PnMTilTs4ePAoJ0/GkFmlQhvZiY6BGjK2z2Xy3ni279hC8rqVLIl1ZfyDQ9HnHmHpD+L3p81n856jHDsTx4W0GPYeTcbqEkLX7tFoKmKZ9PkCXFu0F2LYkZT9m5g+aRbJ548zR4jidduOcCYxi2qriojWrfEVlq8qj2fjwhl8+cVUlm/Zw7ETpzmflsiBHbsotLgR0UsIcp9fREdbLSXp5/hx1iaCht9P33a+BAgtVFNWyNmtc0k1OHJm51oWL13Bhl2H7HfH55a4ENayKQFuDliKhLBe+w3vffkDy1fv4sjRYyJhiCXHqEMT0RaPpNVMXbCT2PPpZNdWkJaRTUD8WlYlGUhPPU9SuRuqpl24o62Z3TOn8f206cxbsZEDRw5z/EwyWQYLkc1bCnHujLUoiX37t/HDmh1U7VjEl6tT8OnYBg9LFkdXrsLYeigdmvpiEYnXmvnT+fq7mazYvJNjx04Sk5BIsVMQfo2jCHVRYRP1dmDJu0z+fgbz1uxkn9jvM2cTycg2E9C6JQHeTiitWW0zY6q4wLIlZ2nWow0twwMa0ji46x4p4v9KKF0kNkwGFeHd+jK8b2vcajLZeziWJr8Q8TarWRiXM836DmFMz3DyE46TmG8hqt/NUsT/xZAi/mpjwSrij7N7YwbfMYquTgkcPH2BYn1Tbuh/UcRXcmrFUg5lu+PdZzS3d/C3f1MZPqouOUes0CyxOf7ccnt7vAwi7m84K1KDQFr37EaIM5gyj7FwwQZqQrvSe1Bv2vnUf13yh/iliG9AWkCF6pfDFIzl5G/dwW6DN7rI5rQJ+ev1wl+RyiQ2Lp3LnNVHsDa7gRtvHEp0RDpH9y5n887jVInTIiQeWksxe1Zt4kSWlsA+w+nbxoPY7d8xe2ccqRVQHbuDndMmczAxkK49hzHqppF0a6oj7+w+Zi07Q7XNhk0jZGDaDorSk4Qx9WfUuF408S1n3+ofWbU3gYrQntwwcjhDowOI23OKcyk5VGvVPzUMq1VsQxnTo1KjNZdSmnGSzxZcQNu4PzcMEsZrPsn65VPYnlCGWexz0u7FrF6/jURjAINGjmRYn/bUpqZzXiQfRSIqXjEummopLywkrdiV4CA1nvUdzUoQtVprSdyzix25Fpzb9Wbk0J4EOeYz89P3WXc4BeU2iLzYvWybtZDkokj6DhjB6JuG0c6/lpR9W/hhVSpa/0jaRfni7x1AWFgb+vfvLcTwUJoHuNAkKooOXdrRI0xNWfIRJn03jT25DoR3HcqYscPp3dmT1O2LWLf7LHmVoNM5oK7OoyZlH5vyoug4aDD9ejTGV+yz2Wy1D3/SCgd4ds8Klm3cToI5kGFjRotz04cm5ji2r1zOym2n7MdnteaybsEaUqwetBw8ktEjhxDdzINNc79n9bE0survt9Xo9PgGNMavLJWU0nLS64olEsmvUIbeudNuzChGD+1Ik0Y+wm8pnukXiAJn7xC6jhvDzf1a4SUSdI3F8uv1JJLrEJvNFf/GnRkzYTztQjxEMqsS8ciqmM8lVIu4bKTG4oSjj3t9WR3O7o64qE1YsguE1Bcxr81gurT0oDJhN3OmLGHblk3MnruE+LIgOka3oldU3fckV5+G26FnqaYg/QRfTVmJKeQWRoy4iS5+9cv+4mSdOcbxpDTU7Ybx2g+bWLduHYsnP8/YYQE4O1ZQrdxnKdSgqiyLFIdeDHl6Jlu3bGDB52/QJiiQiuJiag0XyMitJLOwAw8+9imz5i1jyYI5fPbCQ/QLciL35GkKxTasQlGaU4uJaD2MN1YuZcWXDxJam8i+A2cwN+3JhKkL2LB2HWsXz+TpwR1p7Kqrm12l3pjVivCu75JSMncHzyZET5jEj5vXs27VV7x4ex90JhslJUWorOfZtGwz56u9GP/hV6xeu5aN61bw/oNjaR3kjcVsuaKIV24uq6quxGDxJNhXw0+DRVSiImw1XCgOYexzH7Jk0xbWrlvE5FfvpnlQHsePx5JVnE5RuXA2xt48/dK3zFsk6mHeVN5//HY6O9nIOhmLZ8/xPHdPR7q1HcSw4c8y+6N3uPuLFTzQqxG3PPI8k95/kVcHeXL2+HHiLXr6P/UW3y9bx8oV61iz8Gue7+3HgYPHuJBXjMZBh63SgK7Khc6fLmPNmm+4o0dvfLBitdeVEN2WCk4cO06Zezh3fzKJFStXsWb1GpZ8+Qr99Mmk7F3L2TKlLo6RlhFM95Ev8OXMBaxavYz50z9hzJgWwn/WUF1WLylEAuXk7IqLZxWFBWZKGs6tHxLJ/xZFwF9Jmf/SEdUn4BLJ34H6kP4zV2z7atQakRSrbNgsl09ZY+/cU4xIo3Q4ClRtGDq6B5Eup/nxzdsZMXI0T360gqrmI+jTqT0R9m9JrgUNU8RbashPPMSqhdPZkeLC7Y+M4MZ+jeoX/vWpLMqnwrc70YPu4pF2SomOoM7/5P0PJvHGI2Pw0yg9RyrM+HLjLYMZ3jsMJw24RIUywluPU3ER+Xl6Wox6lNeXT2RoRwNb1y3kg+df4tWvprMkPhOVg0OdoSo3czp0J7RRDzr4is9WMzXJB0nXt6Rvv9E80TXc3ggcAlvx6ruj6dc9HGP1lR7QYBFxzh1370588GQHwpVL0q4taN4imt62WipLyrBkHOV0kZ7gtsO5tW8/+w2kOHhxqzg/nds1wfYbD36wmkW2X1tOjbcPfmpt3fcENqVjQONKjzvGcEunaEKVQl0QLUbczrOdXVFlJZN6Xkf0jQ/z+pzXiQ7IZuXiObz+z1d5Y/pC1ueUoHfQ2rdjNFmwWMyYTQaUZ7kov2kUgdtkFH9NJoxFhaQkJlEQcAMD/fVozx/n8JGjnIgtxqNjN6ryMqmsKhdC3YpF5Y2TRy/GD/TE0e7BLh6XqEnxY5rcVZzMEsLbpSUdnMycOXyYQ4eOc8G/JcFhgXgaCkQCViwOzhs/1wq2r1zM159OZMGCtcRd8OKl96bx1l1dxPHUe1q1Roh4F/GqoKTUSFl5XbFEIpFIJNcMEdiuqO/rqY9QGCqOs2PPCeLKnIno2Y9+/frQs3M45pQ9HD13jrQ/OgGc5DdpcCLeaqgkZe8S5n73Cd/uqGHok09zR89IIhzqV2gAVJaXo3NwxNfv50sHKrUOBwdlSknFLJSsV4XVxZ+IRr4EetWNs9U6uAsRqLEP11BpbViKz3F08Tf8681XmTpnKYfO5wmB6Y6X3kN8u970rFZs/n44+vviqXwWItOYl42juwfegQG4XNoCGoXh6+6Gu/Kd+qKfEGVWkRhofbwJd9JRt0ceuHm6ExgklimX4gpyKBO/7OwfQIjvJSckwI8gZ2d8lW3UF12O8mvipRJZvTj8i44Bm9Kz7YCXEPeuzj+PNXZ0DqSrSD6wVVFrrqYk6wy7Zn/O+++9w4xFqzmVLvZCLepB5/zTcfzqeH5RoCRNNmM1qth1vP/ys9xz9z3ce889PPDIP3j149mcOpTI+SojJWoVar0ejai7IJ3aPmb9V9gs6KoLOLJ+AW8++zD33Xsv9913P/fc+wyTFu/lzIUqCkoMYh/bMuTOfrQMLOLQ+tm8+PKrPD3hn3wyaQFbjqeSX/PzTAHKQCSVyoZykUT2GEokEonk2qLBwUmNVmXG/IuHaZpNFsw2DWo3J7RUc3rut2w5WYB//3v5ZPJUpk6dzLefv8HwxgUc2LSLJVvkXPHXigYm4m3E71vBXCHUNqS70XPwOMbd1IdI/4t9tw0DtTL+TPz9xRWqS6iT4DatA3qdEO0/nSUNOkch5jQaHK0FnNy9lXnzt6NrHE2X/kMZd9/D3HvzTfSODEVlqU99FdHnoEWtzLVuLxASWXzfogj1n6ZwvIhySdnKbybNyj0Jyv789ERStTgWYeT1+lqlFtmFWFQ3jr6urA6RcIjX5ZNX/RqbMhyl/v3P1G3r0nKV2oaxxigWadGbs4g9vIMV647jEdWeHgNHcMdDj3D3jTfQOdAb86WVbM8Q6n6jbvcUYawUif/sP6LG1TeYRo3DaSJe4SKpCW/clOatOzOydwd8vdwwmEXtKFMD6bVofktNizpUax3x8gskvEkTwsPFtsIbERoaQZee/ejWtSOBLjrxu64MuOsJHn3kTm4a3JNmEeH4O1aSuG8hs+es52hs3s9Jj70C6n5PiniJRCKRXFvc8A5yxFlVQlVWNpc+17ykoIICoxZtY388KCFhbxzFTu1o1/cmhrVtRtOmUUT3GMrwLqGY4+I5vku56VVyLWhQIr4iYye7tm/mbIk70SMe56VHbyU6yK2hZSK4uHtgq8wjLyOOn54VaqkiPSmRhORMqkSWq+hKRQxeJojFG7vwFiLSoSKX2Jhz7MyC7ndO4MknHuXB8UPp1DIQJwchmevFqh3le8pLeS/KHYIaoy7PJf280rtsX0OsY6TgQCxpOSUYhFD/6bu/RGzn0txD2Tf7PontWgOECNWYKctMIjbr5+fnVp9LIb2wlArtxUTiclRCPKvVQhQbDBjEBn9KIpSxeLYaMtKSyS29OD+6jfILcWw9fgGLkw8+5iIykmI5XunJkPuf5R9PPMI9Y/vRJsIHB40iuOuPxF4HSm+C1X5sdfVrUobC2hMRvYMGvbMrTv5tGD7uH/zztXd594P3eev1V3j0rmH07BVNY3dnXISIt1+nuFifV8Dm6ImDkxtRrXtxywMv8vp7/+Ldd9/lzZceZvzIvrRv1pggdy3UZJFe5ECTjjfxyNOv8v47r/Py4+Pp7p5H0sGDxKfkUl23RSwiKbOYhNPUqtDKmbokEolEck3R0jgyEHdtMWlnT5B4MaRb8oiPTSK9WkVg25Z4iDhaK3SEzapB+XcpGq3WPly1tlYZxCq5FjQc/Wut4eiyyew4kYY+rB0jerbAzZZPVmYmGRnpZOcUUlZp+E1h9VfCKzgMb2MWF46tZdnRZDLEMSQc2srsH35kyZq95Fbbbxn5bSGtYDILAWqhSqejxqZHZxKZceJB9h7cxaG4VKxCnSo93zaxkcu2IwSzY3hnGuuKiTu2nblb9pKQnUnskV18/8M2TsTnodJr//1v/wpFxKuFiI+mQxNXqtOPsGbDOs5mXyAl9gQLFmzlVFI2FgfdFber1uhw1Luiry6lWCQwdcJVEdrKNIwmUs/uZe+h45xJyyMz/gB7161iwQkbHk0jCfFyBqORSuXhTTYdOmMJmWd2s/voAY5n5aFRxsKLbWk0DmJbReTnp5FSKRIRkXhodRaKc7NISr1AkVlPcFgjnCuLqTC64+zfhKiWLWgcGoiuOlN8x4BeVKjy5NrfbmNKPYhkxrMVjQLccRLrVlk9CWnejMioZoT7WinNzeCCSJR0jhqspXHMm/I963YnYXQIpE2bljRrFkUTT2eUqeR/SpdEMldbU02NyQNfLwe85DTxEolEIrnGBLfqSlignry4zazddICUtCxid29m05FYSh08GdCtpZD6LjSODkKVuZfDG1aw9WSq0GVpJBzZwdrdsRT6BxHeuUXdcF7JVaeBiHgjFB1mxfKTHDuWyJEtC/j4+fu57Y67ufe++7j7rtt55pUvWb4jmYbwVHr/Fh3o1rIJmqT9vP/0g9wnjuHhCW+weMspSox6XJSnBv47rEKgBwQS2agx0QXpLP/wER66507ufOwlvl+2h9Sscmw5+RQJTfmr+WCUnniftvTtHo0+9yTT35jAI/fcx2MTXmfW/gRyqi3oLz5J6v+FCrO6MYNHDyXKo5rNX73H43ffy0OPP83ny7aTVlghhOnlWfpFVFo9rm4euGmFAM83U/ZTV79y57sjAZoC1s76kH88cAf3PvIcb09eT55tAAP6taVJu2iCA4MJP3+KGW88zP133ckDT7/NjxuPkF1QjS0j2749D/9GOGnz2L5tIZ98s5hygxXfIF/S9y7mna9m8vWRWtr36EVrXSorpr4qfus2xo+9mbvufZg3v1hOWqkJi+Y/PTtBkfcqLLpm9OrVDqeaU0x5+1Huv2Uct40fx92PvsnUpYfIKLXg5ClcmltLHHK3s/T7F3nkgdu55Y57eOiVD5l9ogRVdE+aRoTjqmzWYqayopQKlya0DHOjSQOZSVUi+Svx28n3r/n/rCuRXLdE3Uyv3t3poNrLD+8/x0MP3MtjL3zI0lRnIroO4InOQl+oPOl7z1iivQycWvQtL/3jAaFpHuCRZ99hwY5cIjp3ZOjQFvUblFxtGoaINwsRn3GGvZklpBcVcv7cSfbu2c3evXvrXvsOcfiYMhSk4rKhHn9ZnJoy9oEnePaRkbik72Xf3j3sy3Km9x0P8uA9owhUm7HaLNRUV2M0Ke/rvqaMVzfWVFJdUyNEaAC9R9/FK+/fh0v2QY7s2cmeIiON+vRg2MBIDPmnSMuzUVtTS43yMlycA1kYndqNoXc8wd03diGs8gR7dx3gQIaFgc/dS7durXGuMYjftGGzWqhW9sEsvit+22w0iM+1dcNJ7Niwmg3UVlVSa7Qos7nRuPc9QrCOoWdoLQd2inN0Jp2wEcNo1yIKX4PxyuPtdXo8/Hxp6lXFsdN5ZObWFVstFkziO416jWFQe3/IO82uI4mYG3dn6pp3GNkhVDTgUDoOupWnJwzHmLKfA7t3cNzsRvTAbtzUw4P8zBNkF1nw7DOcju28cc49waG9J8kwW4kaNgBPp3LS9+zl8JFc9M378ObHL3NzZ0dKzx9j5/YdnIxPJXDQozx3z41EBrvYHzpiFK9KpR4uifRm0UZrq6rqZrwxqel4w108/MBoejeuZd+OHezZvYtEUzhDHnqORx+6lUZ6cSacA7nz2efoHuJCwcl9bN8t9iO7CK97/sVn/7yVEdF1Nz6bjLUU5Cah9m9FEw8vPOylEonkP2PDbDJSJXyUcIH/RpwL32qoEf6tBmODCCISyVXEIuK40BU1tcZfaCgNHYffyv2P3UcL4zkO7dvNqQyhH0bexiN3DanrZEKHXoj9F1/7J3cPb0Z+wiF27dnPyfMl9HrwBSbcOZwhAfYVJdcAlc3+JB944YUXmDhxIklJSYSFheHo6Ghf4S+BTajD0gx2nzxPebUBjVolROXP7lgRm45uwYQ1iSAq3Osvl5koT9dSnqw1bdq0+hIFE+U56ZyLjaW4VoPZ0YeWLVvQJNhTmIQNi7mcmGNxuIU1JTDQH2eNsDNjBdlnjpKta0J4k1AC3aEqL4NTMXGU1Yp6cPMi2N8dvRD+eYUmmnfvhFNBPHE5Nhx9g+kQ4X1Zv3xNYSoJ8fFcqNCgdvaic5MkPv1kG5X69rz07jOE6Yo4c+o8PqJeA7z1lOXmikSpmladWuNaPz9seU4yWWlZENpeiFxPHJTO9toiksV2Ey5UoNY70zyihqkvfkxSVWPu/nI6N7f4dY+8oTST7d88xmuJN/Hs42N4oHcgpuoKLsQdptK7Bc7mYgrF7+dVgHdQGO3bt8Tl4sEoM9SIujwTn0KlwYbGJ5AQbwd0willFulo16sj/o61ZCWfJel8MTb3RnTs1BwHwwUSziVyocz5/9i7D8AoyryP499t6b1ASAgl9F6liaCCoCIqKgjYe0VREU9s2BuiYgUsdJAqvfcOUkILECCVkN7b9veZzaKAeO+dIsfK/3PukZ19dnZmdp+Z3zPzzAwRsQ3p0CQCvaWI1ONHSVJhurDUgo+fP9XjmtMgthr+XjrsFQVknFTLIV8F9fYN8VO/Re005YLMFLUcThFQrxWx4f4Y9Q4qCk6RkpxEYnqhq2u+d1gMdePqUVP7jtw/UltlPimHE0k7lUexahWY/AOIjGtGs+gwfN1nNJfnZbD+x5FMs/Ri6KBraVc3zDVcXBrWrl1L//79SUpKIjBQ+jpdUpxm8k+mcljVzfAmVxEXqsN0vg2EvZyUxCOcKoXqDdtQ9+x724j/saKiIqZPn05QUBCDBw92DxUXTNEJElLyqfCKpFnD2r9un6pYKMlL5/ihRDKKrRi8I6jdII5asZGu7d+vKgtITUnmeOopyixOjN7+xNZvRp3oCNe2U1wY8fHxDBw4kISEBFdu94wQ/9/Q5uYS+72cP8T/d7RvyXUy5l/hWjZOFY6PsnT+LvSRTeh4TRsiXZm6lH3TX+DjOTmEtx3IiBcHUO3/OYHy99OUzYbpS8jWRdH4mmtpXr3qMpOntnzJ8BEzKIy6hpe/eJsu57spl7WMwg0fctWIdG576hGG3dv5t5s+XTLO/+O6IN/Nv1FwKplJHzyL7dpXuL1ba+qEetD1VC8DEuIvXeevsb93drn/9F3iYpEQ//eS37/nODfEX2o7rf+6f+hv74KERG0cKnE6zJms+GksYz58j9FjJjFtykQmfz2G10bPI9kaSr2WLQj/D66AcvY0aRW/kj2Lvmfch2/y4SdfMnXKZCZ/9yXvfjKJHWWRRLfrStM/uquu0YuQZjfSLSqVsswjHMlxD7+knP9L+DsDPM4SSrIPcaw8lPb1o4kMkgAvxH/qP62aZ5f7Oyu0EJce+f17rn9eiBf/nk6Pd8AV9Lq+LQHF2xk/4nEefvwpHn/9U/YZmtGm1810aVvvnAtF/Se0il+Lawf2pElsAWvGv83Djz7O48NeZd5RG3V730rvG7r88RnqOtVqiOrEs/fVoYYhk6MH0twvXN7s2fvIT1iEPex6YqpFuLpVCSGEEEJIiL8cmXy55vZHeeyJYTx21yAG3XUXgx96kCHvjGbI4OtpF/3n9/Y26fUI9zz1BkMfvo/Bdw1m8L338siIt/noyb7c1vz/72pQv8+zdGjelpqUnnVzictVWalDLYdQeg7qTXSIt+wjEUIIIYSLhPjLko7AiAZc1e9unhn5Jm++/jojn3uO+65sTlyo+/arf5LRuwYtrrqJB194iTffeIOR//oXT950DU1rhLpL/Ht678a069KFdu3rIPc0Av+abWjW+yl6Ng3B1yQRXgghhBBVJMRfrnRG/ILDqF6zJjVjYoiJiiLc1/QnutGcS4e3XyDhUTWoqcYdEx1NtUA/jP9xx3ETfoEBrmvlS2R1YvBWyyI0miCvM+7AK4QQQojLnoR4IS5ZEtuFEEIIcX4S4oUQQgghhPAwEuKFEEIIIYTwMBLihRBCCCGE8DAS4oUQQgghhPAwEuKFEEIIIYTwMBLihRBCCCGE8DAS4oUQQgghhPAwEuKFEEIIIYTwMBLihRBCCCGE8DC/C/F6vR4fHx/3M3Eh+Pv74+Xl5X4mhPgnCQwMRKfTuf4VQlx4wcHB+Pn5ubalQlzOgoKCMBgM7megcyraH8OGDWPUqFH88ssvJCUlUVZW5gr04q/RGkQbN25k//79PPLII9jtdvcrQghP5+vry+7du/nyyy/55JNPCAgIwGazuV8VQlwI5eXlbNu2zVXfunXrhtVqdb8ixOXD29ubxMREvv76azIyMly5/XchfsWKFa6N0eHDh2WP/AWgNYSKiopcK6GoqCjci1sI8Q+g1e/S0lLXCjUuLs61h0TquBAXlsPhoLi42FXfQkJCXM+FuNxov/+KigpOnTqF2Ww+f4jXUn6tWrVciV9cGHPnzmXZsmWMGzfOPUQI8U+xfv16br/9dlJSUuRwvxB/g5KSEqZNm+bqSjBo0CD3UCEuP1qvjgEDBpCQkODK7eftL6P17xQXlixTIf7ZpI4L8ffR6pfUMSHO3tacN8TLoaoLS1uecohdiH+m0+tLOd9FiL+HVsdOP4S4nJ2bJ+XMVSGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyE+P81p9P9hxBCCCGEEP8ZjwvxZXnHWDr3e4Y9/xwvDn+Dz39YxtGCUhzu1z2BJTeBhZN+4rtJKzml07mH/klaI8BqrXqcbhDYbFBcVPW3+K85zSdZNncWs35eSZbdPVAI4fHy03cxYewnDH3mWf71xsf8sGIfdtmPIoSbjfL0BKZ+8gkvD3+RZ595nfe/XMzaQ0WcXU0qORm/lfHvvsuwYcN4bug7fDppK3vSKtyvi4vFo0K8057KplUz+GbMJ3zy6ed8/tlnfPbpp4yes4092WZ3qUufNS+RlbPmM3XWRrLV87+yDakoKOTQijUcSsuhXAuc1hJSd+5hxdSNZDmcSAb97zktOWxds5rV67aRLwtQCM/nVOGkYC8LJozn81Gj+fyLMYz5/HO++GYsXy09QFaJzV1QiMuVnaIT8SydMo7PPv9CPT5nzBef8sknYxg3dS5bTuZide0otJC5dwNzfvyGUSqHaeU+//wzV7lJC1ayv6C4anTiovCgEO8k59A85sxdREpxILfddS8Db+9FPVMCY7/8idkrE9zlLn06gwm/QH8CA3wwaM+rBv8phVmZLBw7lqWJWRQ51ZiKUti2aDFvf7SK4+p1yaB/gimUlld0pGO7FgRLhzMhPJ7NXMSRteP5/sc1OAIac+vg+7nj+nZUz97Isx98z6r4kx51NFeIC858iu1r5vPthLnYm7Xj1gEDefCu3rSNSObQiq/5bslOKq2qlpSlsGDGZGau3k5Q52u4a9Ag7ht0JXXM61m/8Ed+WnfQPUJxMXhQRDFzaN4Siiy1uPGp9xg/ZQITv/uGt5+6lcY5GzixbxeHLO6iHuav7Im32ivIqkzFqquK605zPoXWLHJ9dOgcsln6M/Q+tbn9vgd44J5biTa6BwohPFZFcTorv51JeZ0uDHz5E7798UcmTRzP568+yjUnf2D77v3sz3cXFuIyVJxxgkPHkiiq1pLho8fx46RJfD/xOz77131cW8ubhE0HsakQn5dygH0pOQS1vp53x05ioir34/ff8P5TfahvqCBxx1HZeXgRGUYq2h8rVqygV69e5OfnExwcjNF4qaWXMlIOpxLW7GquvLo7DUO90XlB6cGNzFhylMhWXbi2d1si/2IX87/DoUOHOH78OH379nU9t+YfY/3aw+Tpguhye0tSli1jy/adpGWVYfQOJCTI57e986p1fPjQdtZv3sSe3Qkc2J+O1TeAoHA/bDnH2bF4Nks37qDIGIDF4EdO4h72btjELyklhNQOJiwwjLAAP4z2MjKT9rN63UZ2qw3W8bRi8PVT37Wf62iA1sctaeMiEjPySDyZweFfdrBvXyG5J/dzMM+hlnUAYf7ab0JrGGSzZeVO8sud+IeG4G04e6E7ynM5eXA3m1etZ+eBgyQeTQe/cEJCfNXXmM2xravYftJAQEgAgd5GLCV5pKh53JxiIyosCG+TQRU7xpFd29ihykXHhOJtSeXwgS2s3bSVvXsSOHjoFPgHERDkj5feTmHmSXZs2IazVnXyj8aza+MGtscfo7DQSViNSDWNasKcVtKPHlXL8BDOmhHk/LKRTVu2En8onQqLifAaIWhz6LQVsH/PAVKzigiICFHfVzLrtyQSEFhGXsZBNqzcxN6EbOx+0UQEGdG7m8L2yhJSD2xmlZqOnfsSySnMJS8zlYSd+7GG1STI14RB9uz/4yQnJzNr1iyGDh2Kt7e3e6i4dFRQmr+Xnz5YRa07nuC2mzrTKExtPIz+BFaLQLfjB1L82xId15QGEWq4uOSYzWYOHDjgql8tWrRwDxUXkrW8gEJ7AKENr+bBXi3x0bZVeh+VNUwUWcr5ZZ+ZQbd1w2hVuUBXk2Ztu9O/Q52qN5sCCY+Co+nF5OX70K9vJ3euEBdaVlYWs2fP5umnn3bldg8K8QYCq8fRoHlLavmXkXN0Cz8tWM2aDUfRR3Wl9y296NS4Oj7u0peS84X4TRtTScnNIzgknonvf8+chcvZGX+CUqc/kXXiqBagln9FHttWz+CHieOZNG0eK1duZv2GvaRX2qlRL4aKQ2tZ+sW7LDheRmrCfg5UepO0fw/pv6znaEE+R46lE9uoA81r+5B7YC0/fPkt30+bxfKVa9iqguVxsz9+MXHUD9U2XKVs++Z1Fm/bz9JN21izYBmbjgcSXLGFBUkGgsKiaVEzUNvVD3nr+eSLRVT61aBB4zhc2f5XVtUSX8qs779g3A9zVANjA5u37CEt24FvZG3CA8tJWvwN366vVNNWl3rVAihKP8SSyR8xLiGA3u0aEBLgTebeFayaOpt1jjZcHWfhl9XTGP/990z5aQGrVm1mw6b9qinhRXRsNDXDfDl5eD9Tvp5MRWQmq6ZPZ8qPM1m0dhtHk3IwhdWmRo1w/Lxs7F23gYVz51ASnMH8L79jykw1vk27SM+uwCeyLjWj1G/fmsa8aQs4kFpEXNsm2FK28s1X00hO2sHa5QuZNGk+a7YdJrvETrXYWCIj/DHaikndu5rvv/hCLeP5LFu7mYNHDnJg7y62b4kntE0v4qr5VzUmxD+KhPhLnZnyosMs+GIt1W7sT+f29YnwrWpNG1VSyVz2NXsrm1CzUQtaxKp1nLjkSIj/+xm8VfaoUYemjesTHvBbY1ZXcZJjh/ex7pgPd/e7iuDQCKJrxdGkXi38fU3uUirvFx9i067jKp9EMOCmjhLi/ybnhngP2i9oIjxWhdvwIEwFCexZ+AXfjJ/IxFUHKAttQO3atQlxl7z06TF6FZOZfJA1s3fjjIyhUYs49PlHWL1yGT/vSFRl7OQd3cTUH1aw64CF6PrtaNWyCW0a6ji+dgU7th2kUBdMtVr1CPXzJqJmHeJq1qBOjQiCgkMxmUKoXa8uEeFh2NM2snX5JOZvScAUXYeGTRoRG1DG3o1LmDl/NQWuY192itOOsGvbFo6l5xNWqyENmsaoxoSNE78kkHgiQysEFjNFO+dzJDVPNTi88D6n1WQvSWXntl/YnpBLdJs2NG3ajLgoO5tXzmLq7KWklhiI8C5j/54tJGUUop1OVlGSyaFtm9mpgnlqhdYnykpWSiq7EzIxhQeSuWsFP45dw45DTmo3bu9aDi1rV3Jw3Vr2xh+nyOrAWlHIiYQtzPl2KvuSywip25B61U0UHFjFhHnLOH6qwNVvqaLkFAd2rGLOuJkkl/kS07AhMT7FHNu+lEkL1pBVbMFhryQrI52TJ7OpdKhxl+WTum81Py4+xK7cEOrUq0mE7TgLF01nw8E0itXyK00/wPr5U1i09ySBqhHWpGEtbFkZbFu1jh2Hj5JbasXxV/pNCSH+JB8MhnAiqxeTdvwwmQXl7uGq3qbsZ2OSnezscuwqKApxuTJ4BxIRWY1a1QJcz6s2V3aSD+wnflca0Y3rYTTq0XsHEV09gmqhvmd0BS5n9/pfSD9ZRo36dSXAX0QeeXC/Uq1s7XY74WHVqBlu5+ixX9h1OJFC9+uXPlURdDmUV5ZhNl7Lw/96jQ9Hv89Tg7riW3aSdet+QducFBcVYHPGcWXPRxn28nsMf/Zx7u/fDL+8VI4fSMOrXjd6PjScLnUi6fXwM7x4750MGdCD9u07ExbcgSdHDKVnuxqkbV7C+i378G5zI8Pf+YjRn33GB288ydWR+aRsmM/SY1VTZfLyxu7wp3H73jz3xuu8MqQn13RtR2TBCTLTUjilytjNhexctA5TRANq1q1FcNVbf2UuPUHisUwKdE25+Zl/8fobb/Hua0/T/YoYnJYCFc/9qNuuDcGVqeTnFFKq3mOtzCKvwEBYdjYnKh1YyOHUqTLSdTW5sks0FYXF2I1N6X7DUwx/+W2GPf0og2+Jg1MppCSrz7I41MrFqaa/mOQTwbS6+l5eeucD3nt9CHdcWZMj2zeoRkcmZVbw8tLCdLkK6DXoOfgZRn7wAW+/eC9X1vMiftNaTqhpsqhQ7u3lpRpCRnQ6HTq9AW/1eyuv3pErBg3nnfdf58UHu6A7eZhE9fklFUWkHt7B6tV7CWzflxfefIePP3yLJ27vTbOoIMxqXAb9JdjPS4jLghFv31jadgnk+I6VrFi2jG1HDhO/bSVLZsxmSZKFPJXr9U7HXzo/SYh/Em2LZU5dz5L5a9l+BK7p0UltF8/uoVG1VbNQdGgxM2bvINccxpVd23pmsPRQHrms/eO60WPIj0z8/lumvXsXNXIXMHfOTJbs8ZQY78RSqVct27YMGvE8vTtcQaO67egzaCA9mtXBeWAvu1Vbtnq7W3j9kxe5Z2BnjCVZHNi5i+kLV7GvpJxitbXxDgynWp2GhPt5U71OfRrUjiQuthqhoeEqrIYS17g+EaZk1qxSG6zMWK7scydX1a9NdLXqxHXoQZ/2cTR0prPil+Ounu5Op43wyCa0aNOdDs3rUL9mGDENmhHtf4KMtBMcKtD6zR1n+aIC/Go3JSYmsmp2zqRqtZetguzkdJavP0RRUSVBMd0Z/vpHvDfsflrV8sfQ/Aqa6ioozc4hL30vpVnHyHTWoql/GafynJxIOknGKRXwddVpVCuApjfez/ufD+P+O9tjyz3Jvs1bmLJ0HYeKSihTv2Cn04lTBW+9MZgeL7zFoLvvoEuLZrS+5hb6PfMUneynSM7JIbvSombASWC1+vQZ8aFqCFxLm8bN6dj/Qfrd1Z/mqgFyILuAcptdNbJOh25ts65Twb4hDzzQl4fvaEfjFh3p0u9mupsMOIvKqMw6QHJyEsesDbjnnofo0boNzZq0ZuA9N/PAnVfitMppPkL8L/n4R9Ktf39CSo4w+d3h3NOvH4PuH8ZbP/xCYJQd/0C9Wo9IQ1uIKmq7V5LAxDHfMWtlEgFNruL6Lo3wMp4TGZ0WKjJ28/k737LumI46bbvSvV2M+0VxMXhkiNd7+eMXUp2o6Bga9rmfIZ3DqJeVwKHdx1Wb0BPYsdsjCA6pQ+M4Pad7lQVWq0fduGoE+hRy5BT4eZexetxbDLmjN3fceQcvvfsR85akkKtdEF47Q1ILr46qvUfav66L0TjUMO1arurh0PpvOM3YdD6k7tnC98/fSrtWLV19Cps27ci9b01k8ZEyytPTKVVjsav3BFSLIKRa+K/TRI26dA0Pxn7yFDt2HMaWfISfSq3UadKYmhG+7kK/8QttQb0mMfjrt/Pzp6oBcvdtdOx0C8NHzyc+z4pR54vepzOd2qug7FVKyu7tnDx8DEudq2lTO4/CPBuJB9NItav5ad6G9mqcAf55zHr/eR7s1Y077xnMiNFjWLYqi4JyNX8GnYrYahk4jSp416BJqygiwk9PfQBB1VrSqqkv+YUVFBZrxzf88PGLplnravj7nt6roBpDNRvTtKGJtMwKzBaHaw+8i7Zw1d/2GjE0igwm1jXQB1NAbRo01Lm6EzkzT1JemE9l9Ria14/7rd979Uhq1KlJffXFaGPTRiWEuPi0LgC1rnqeYY/dTd1QL44lHMXhHcnAZ19laDtfYnysWGxSQ4XQOK1l/PDOc3y4IpGIvo/w5pvP0Djg94GxODOZr157is/3Qe+hrzD00X7EXmqnU/7DeVCIV6FOBTstn2pc3Rx02uRXo1F9XyKCLZgrrB50rV89er0J7TS4X/f/GEyYjEaVz51Umh3sX7OApWs2cMoUQLvb7uOJf33OD5NGc1N0dYK1LkXqLedudn57fjo2aiFfhVCHajEX55OdleU6MSIzM5tCtbzM5TZsaZmubi3astMbDBh+vYSKNo5Yru/XmoZBZg4uW8u2o4kU2XrRpHE4kf5Vpc7iHUWPu57ijfde4a5OERQVFpCbf5TVMz/li48/Zfq2UziMfrRvdYUK9N6cOHyQ7JIiorv1oueVYezYF88vew4QEhJEuw5t0DmL2TNtOsu27CA/IoouAx7juRFf8cP379GjZnX8zRZXv/qqaTXg5a2W368LVA0xeuOlMr3WQLG7OqXr1HI3qPCtLeeqMhqDSVv2YNN+Y+r5GaOoYjRgUm+oyufab8+IeouW79XIbarBZMdpMOLldUal0hsxGk2uK978bnxCiItI1XvfcLoMfISx02exZfNmZs/4ioduq09ZpqqdvsH4BftJPRWXvZLM3Xz/cC9GLcznmsFPMvzJfjSv/vttWNqO2Xzx2AC+3RHE48Nf5P5+Hah9bv9a8bfzkBCvxcuTzH/3NcaNn8PO1JKqwS5ZHD1USk6eCS9fk4fMkNYnvoiy8kzOnBV78SlOncqn3BxAzTArR3dvoaB2d/o+/jofjnieJx+6jT69GlPdX82n3ekO7NqedxU8dQYtZ7pCpfYcnQOddu1DnUm1qsuJjmvNgOdH8/W4cYwfP57xY7/i81Ef8/rwxxl0U3OCtCqq7cXXxlo14l/FXHUl9WMsFOxcxKptWRg79aFR9SCqTn85m8Nmxi8khit63MXzr33C2C++5Nv3htK3MRQd2sj2XYmYHToi42pjL00kftNBjh3xpkGzxjRsUIvCI0dUiE/F6u1Ph1bVcZYWsXXbNqytbmfACx/z3vAhPHb/LfS6Oo4I93JwrV50NjXf+aSkFFP26/lpNioLkziWbCbQz4sAP20PvRmzOZ+k5FKtZ42bmaKcNJLTrUSGeqswr1OL4pyFoC0WNaxq6G/LybXsQ8Lx9g/AmJ9Nsvr+7KfXdiXF5GflkKG+FO19564EhRAXh6U0n60TXmLGxkR867aic5dONG/SiOD8fUyPt6KrXpuaNcLdpYW4PBWl7WLllLFM+yWTNrc+yaOD+9Op1rmXDHGSeWAZP0+fzLIUJz3vH86jt/Wi0XmOzIu/n4eEeC3+OEnfNYe5Uyfz8/ItJOflk30yiUOrZzBnSxH53rWpVz/qt24glzQ9RlM5uacOsW7JRo6mZpFfdIqdG9ay62gGjur1aBnkwFxWRHlofaLrt6JZdBCm0mOsnz+Hg4VFlOj06FQy1Kn/01FBdnoGGblWKq06FeatWK1ZpCbnUmkPJLZmMPViI6lesy3X3nwHd/QfQP9+vWnfsC7Vw8Oo3jzOFcj17pCqPc4S1Y7YGG+MuTvZtqeQZrdcSUzQ+SK82ljmHWXTmhUs25xMYNw13H7HHQzs14fuTWpSzWSmsqIcu1OHX2wdDPnxHNmVTnJWNM0ahBMeE0dg6kGOnMiiwBhIy1g/HFYrRRVlWKo3JaZBGxpX98ZZfJhV8+ZyNK+ActdF2nWqUaR1J8pm0+Ll7PjlKNkFhZw6tpMdy+exuyCImpEhRGiXzdJbKC1KYd2CJew5lE5OQS7p+1axff1aEsojaFQjCF+T4T+/kozDjj2sLtWiY6lhTmbZimUcSFHjzctm/7rtrF0fr+bF8PtlKoS4aOzWcjJ2z2Hc91OYu2obGcVFpMRvYsHUeawvrKXWLfWpXd0zth5C/B2c5hzi1y9hztyVFLe+i343X01NXxuFeTlkZ+eQk1uEWW3IrKVpbPh5Osu2J2O66gEG9rkCv8oC8nOzycrKJb+gFIts8C4aDwrxtej96PVE+2Wxde4Uxv84iSkTJzFu9BS266Koc313ul4R4yF7O53oDX6U5p1i98pvmTJ1GpMnf8+PkxZypBgaXtOJWg4dNaJrU3Z0E4unf8tnY7U96D/w2ei5HFQNmCKHDbPZhslLj2+AlfiVC5m7dh/HCnSEhBqxm/ezaMYifkk10r5HV5rXqGTV2A/56LMxjPniS778cjTvvfkun345g00p5e6QqUL8edNrLDVjYggPdJBcYKPfVSpsB5z/IlKOslNsX7uAb7/4jLFffsuX48fz3c/L+EV9hjGkFrVqReFj0BEU3YrgikJyy/XkhTWiWT0/fOs0pFb+HspK87H6RlDXX7uhlze1VEDO272YeT+MZsw4Nb7vvmPMmMUczcxVy8HuuhW0XoV5p1omJ7bOYv6syUyYMpkfx3/PtMlLsTS+gsax0YR7G3HqDVjK80lYO5kZ06cxaeokxo8Zy6JV8ZhaXUXzqDB8jVr3I63rlrYs1DJR/zq0Pe5nLhr1t7astM+0esUS17glHRvq2TBvAhOnTmHCxB8YM+Fnft6YSIB2iEQI8T/j5etP0x59MeQmsGr+dL774QfGT5jKNwt2U6d9Pzo1j6O6XOJfXMaKUg6yc9tmNiWXE6W2uclbFzB76g/8oHLWpInT+WnWWpIsNk4d2cb6bbs5XGQiIjSUA8snM3XyRCZMmsTEH39iwYodnPz1qLX4u3lIiK9Sv9fT3Nznanyyd/L5yFd488MvWZTqR6f+T3LnTdfQ0K+q3KXPjs1eQwXj5nRqA3O++4jXXnqH5ccdtLr2Ru7v3Vq1W4w06dSbXjWKSVs6jldeeo2Ppi0hr9HNtKvlg4+lgNyicgKCg6jXIo4Tqyfy9cRlbM8xUbdlHDX9M5j7zRhWbD5GcMfbueXeO2gRnMzsL97jrTde463PpnNMX4+eg+5ncMdw97EOrb/4+ZtB0TVjqd2sJYQ05Np6Tv4gw+NXuzO9ru5Am8BkJo4awcg33uAl9T0tr4ym1g2DuOnKxnirX513QHW1AgjBWrseFbUbUFt7c7WGXBFVRuNgPwL9olz9y3V+IXS5+kauDU7jxPxPGDHiLT6euQZ7uwGqYaIKVBaSXaqdzmxSDaMY+vZrQ9HxFXz15gg++H4pCSHteOyufjSrWx2dzoHV6kNoaF1u6NOIQ6t+4KNXX2PM0gQqGnTnicE3ERvp774cpNbv/bd/9dqRjzMXjfpbp8ppw6xmPdUbd+aGQffQTp/GtI/f57WRn7A+LZOgJvUJc5/YKoT43zB4B1C7+93c1bUOWZvm8f4rr/DVrMUU1W/LI8MepEvjGvx2exshLj8FWalkZWaRnVvEhrHDVE54lVdfH8nIka/z2qvv8N6HU9lXbiU97Sj5RZWkHz3Ass+HMOK1N3j9japyI15+ny9/WMIxh3a5CXEx6JxVuxsZNmwYo0aNIjExkdjYWHx8LsV7nzrIP5nA9u2/sOtAsloz+xFZqykdunWgYa1I/C/RpKTdXUu7s9a4ceNczy15iWxYd5Qsq5FmV0WyZ8E6TmYXEVm/De07daRlvRoqkqqWrAqo+7euZEd8IqnFDvwiqlG3/dWEnlhFRVAD4lpdSYvqDo7uX8OKNfspDe5Azx6tqOuXwfpFKziUF8AV115Ppxa18as4xYFdO1m/5wilFVYM/qHUb67CduvW1KvmrUJmOQfmfMdRZz1i2nalY9zZZ6gU7Z/LlJlzmXqqI8u/foLAc64X+xsnZQWpHN71C9s3HyBfr8fm60PNFp24omVrWkQFqkCsFavkyOblrE/R4VunLfdcWVMNLGXPTxM4VB6qpuEquraqhVE7Mbc0j50blrDrUBKZFSZ8q1Wj0RVXoz+wBkOtljRs3gxnwibeHP4R14z7iMhTqWTGJ5CnC6ZOy8707NqKSD8v9I5Slnz/IzMXrKLHmPcI2LmFpGMZWAJjadauI906NCXIqCbOksWGNbsoNwTTrlt7TDmHWbjqBG2u7UyTWlGuE1UtFZls+2k6JXWvoUXL5tQKVVNans3u9UtZG59Oic2XBk1DKU7ez6yvVjNANSgGdY4mVPb2/eOsXbuW/v37k5SURGCg3PHzUuVU65yMo3tZv3k3iWnZeIVFEtuqIze2b02Yn1xS41JWVFTE9OnTCQoKYvDgwe6h4kLKO7GL7du2sDOxEKOh6jwu7aHFcbvNC9/AOtz45O0EHFvPtm37OZxR6joPz7VHy8WB1exLVP0WXHdPb+LUht6j9hJ7iPj4eAYOHEhCQoIrt3tYiFecVkpLSykuLle/HQNevgGEhAa4gtWl6twQ77RVqumvwKYzEhDiS1leHpVmG17+ga4Q4H3G5VUsZYWUlJWjcjcGLy/8gsMwlediwQuTbyD+3jos5lIKC0qx6/0ICg7Ax2ijtKCAMqsev8BgAvx8MOq1u5qWqhZ0mauriM5gwt/1mre7ojkoz8+mEh/XdAT8ep3EKkkLRzNt6TZOtXqSTx/qhunc68WexY65vIzighKs2kmdKsj7BIYQ5O9zxjkLTsylRRRbVUX39ifctRFV01CQQ4XdiJefmgYVvE8vicqSPLUcKl0nxWrLwT84HF1prutKNz5qGRzfuoZ3/vUpvaZO4Noo9VklJZQ7jWrFE0Kov3sfm72ExSrEz1q0kZsnTaC7mltHRSU2oy8BgUEE+rh/RQ6r+n7KcKjfl3+gPzr1fRUWmdWyD8DXy+SaJqcqU6q+N7t3CMFBFaQciGfHulSiunenRe1w/L0M5CetY97kCYyfmc2Lc+ZxU7MQAiUr/ONIiPccTrtZ1eViyiss6E1ear0UTKiv7IO/1EmI//vZKkspUdmqzHzmfVI0WpdSPXqDNyHVQtFXFqsMpmUSx+/LOfSYfFQOiQhWSUL8Hc4N8Z7XUNKZVOAKJTomhujoKCIu8QB/PjqjD8FhoYSHqsCugnxYRHXX/ESEBJ0V4DVe/iGEV4umZkw0NSIjCPZSwTykGiEhISrAa0Fbj5d3ENWi1OvVtGFGDAY1/ogaRNeoTkiAFuC1ManK5RtE9Sg1PDqGGtWrEfRrgNeo8YZFERYW8muAdzotZB3ZxdqZ4/l2+koScvW0bdHI1Y3k3zPg7RdEpOs7iiYmKorwswK8Rod3QAiRocHuAK9R0xBanfCIcNfVZM78FJ/AcCKjYqipxlcjIoIgk47A0EiCVcj29tKuJqOVcmJXKxZ/1QAIqR5NdFS13wK8xr3CcfVxt+kIDlHjrKGWRWTYbwFeozcRpJZvSHAgJtUAMXr5EREZip87wGt0qkxgZBQhQT5qmB+5yftYNe1jxk+ezaLFS1i+ZCEzJ//Eoo3HKGnUg6Y1/Pj1svRCiP8JnQoioWGRxKh1U41qkRLghXAz+gQQGhHlOv9N227/9ohR9aUGNbTzxdS239tPbbOrad2Bz1OuZg2qSYC/qDwvxIuLRttrlbp9Ph++8w7jVx/DEtWO9vWqn9P6vgQ4tGCu9Xe3ui4N+cf3R1Xh3W7HZrWptzi5cPd28SaieqxqNBWzYdJHDH36Ce579Anemric476N6DHwNhqFVV0vXgghhBDiQpAQL/6QdkOjoPAQvP1NNO94Azffeh8tq2vXuHcXuFSo6TGavFx7z30Mhn/zo9bh5at1OQrCWzVELuRs1Gl/LXePGMXtreII8fMFHx9ir+vPY6+/xrf3NMVH62svhBBCCHGBSIgXf0hn8KFBr6eYtnIPS6Z/yJ3dIt2vXGJ0PjTq1JMv5s/gznox/OEtW/T+9Bj8AKN//JYbw3xVkHcPvxB0QcS1vpV3565kz8FDJB1KYMPXH/Jk50buAkIIIYQQF46EePFv6NCbvPEPCCTA39d1J9NLk5pOoxE/f3+89Pp/s4ddh9HLC18/P0wXvEuQmgaDCV//ANfJV8HqEeinGgoGqWJCCCGEuPAkYQghhBBCCOFhJMQLIYQQQgjhYSTECyGEEEII4WEkxAshhBBCCOFhJMQLIYQQQgjhYSTECyGEEEII4WEkxAshhBBCCOFhJMQLIYQQQgjhYSTECyGEEEII4WEkxAshhBBCCOFhfhfidTod3t7e7mfiQtCWp8FgcD8TQvyTaPVbW2/6+vq6hwghLiStbnl5ebkeQlzOfHx80Ot/i+46p6L9MWzYMEaNGsWePXvIy8vDYrG4Nkzir9FWPitXrmT37t08//zz2O123ItcCOHh/Pz82LZtG++++y4TJkwgMDAQm83mflUIcSGUlZWxfv16V33r3bs3ZrPZ/YoQlw8twB86dIgPPviAtLQ0V27/XYjfsmWL65Gbm4vRaHS9Ufx52l66+Ph4Tpw4Qd++fXE4HBLihfiH0Or30aNHmTNnDk8//bQrZEiIF+LCOL0jsbKykoMHD7rqW+vWrbFara7hQlxOtCNR6enpzJ0715XRzxvitT3GmZmZVFRUnLXLXvw52p74NWvWuI5wPPPMM7InXoh/EK1+79y5k48//phvv/1W9sQL8TcoLy9n48aNrkZyjx49XD0FhLjcaHviDx8+zCeffOIK8+cN8YmJicTGxroKiwtj9uzZLF++nPHjx7uHCCH+KdauXUv//v1JSkpyhXghxIVVVFTE9OnTCQoKYvDgwe6hQlx+tJ4dAwcOJCEhwZXbz7urXfrCX1ja8pRlKsQ/0+m6LUcuhfh7nN6GynZUXO7OrQPn3epId48LS5anEP9cp+u3dr6LEOLC0+rY6YcQl7Nz64DsOhJCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsPonIr2x7Bhwxg1ahSJiYnExsbi4+PjKnApc1YUsHHVQopietKiQTR1At0vXGJmz57NihUrGDdunHvIP4u5OIfDuzayrqgWt1zZhDqR/u5X/n6lyZvZvTeNdJpx060t0H4CuqqX/hyHRTVtTeqPM8ZiqwSjt/rjr4zZQtK6eezNDyG0UVuubhbpHi483dq1a+nfvz9JSUkEBl6iKyHhUpZ/jLXrt3HoSAY+ITWo274bfdvXdr2mbQl1f2nlIf4uRUVFTJ8+naCgIAYPHuweKi64ihzSDu1g5rrD6onOVR+cdhumwHBim3ehT6cmWHIPsmXjLxw6kYXdZDxjq+jAZvGhWt2mdO9/LXX0f3FbLM4rPj6egQMHkpCQ4Mrtnrsn3lZOTuIGpo4by+JdGWRUuIeLi85Sls+RbcuZsHI/J/PL3UMvjor0XexYsYgFK49Q5h72pzhslGeks+nH1ZzILcGsDSvNJ2vXdtbN20tBhRVXa/dPs5C8/ifmzVvOhkO57mFCiIvDrgJGEssmfce3n3zCZ5+NZvQno/jkszF8sTadgkqnBHhx2bMVZ3J8+2zGf/sVn306mk9Hj+aTUR8z5tsf+HlTAha72ixmHWTV7Il8/uHHjP70Uz5Vj9Gq3Odffs2Yzycw8+eNJDucKtKLi8FjQ3xFcQbb5k9g1fodHM8qwyy/mP8Zp81Cce4pTpwqpFyr5ReRrSKfvMyTpJ8qxuYe9qdYy1SjcC+TvlvKvryqEG/NPsKhlZOZPP8A2Wb7XwzxegKj6xEXF0t0qK97mBDiYrBbKjixZQITJy3meK4XcS3a0zwuHE5s4P2vJ7LlcLa7pBCXr8qSXNKPHyOtJIDajZvRsk1rWrVqTYumjakbFYpeJUaTbyg16zWiZWv1WsuWtFSP1m07UD9MNYRtBRRaIVC1iKVNfHF4aIgvJ+vEdubNWEWRU4/Ryyid+/+HdKrCGoxGvEwG9Be55ur0BoxGEyaj3rXS+LMf77BVUFiUxN5TJym22zCoYZXFKaQmrSGhxIJVO9ReVfRP8qPtg+/x6mtDuP/a2n+xQSCE+G9UlmSxbtxXHDBH0fOJD/j+p0XMmz6O9x+8Fp8NH7Nm+0GOlboLC3GZKisqIDvPj8irhvLl5J+Yv3A+CxYu4qcJ3/DK3d3wNUJY/Wt54s3PmblU1aG5c5mrHgvn/8QbD/Sgzw2tuaLHVbRVG1DJZBeHRy5nc+I69i+ayk5DNxo3r0dggDcOD9sT73TYsVktmCsrqVQPs9mC3X7OTDidOFSgtFjMrjKVZjMWm/33h6mcDuzauMzauFQZi+33y0MNcNisWNQ4qsalgqk2rl/TpFONw4zVYlXDrWraqsqZXeM6d7ocqpzF9Vnaa1ab4zyhVJt2q3uazpguNU9aWafTjtVqU59jdX2u9rr2t1krZz1nutT0aNNhO3f5nEU7fOekUi0ri/o8ixq347eRuGifqc3X6WnSlvnpcTrU92FVy9Cpd7qWkbYnXhuHVXvdaXMtr9Of7hqPTZv/qvkyq2VmU8vht09zqte1ZajGrx5aOdc8ad+BNv/qcbpBoP0Oqpbl2cvoLGp529R8/fpbUeVdv5VzigkhzqecyvIDbFkdSO+Bj3D/7VfQKAxMYfVpN/gRXmproiTjGMdOSZ9McTmzqxBfQla2E69G9anm74cRAyZvb7y8vDAZDa4uZ9qOM5PJC281vOphQpe/nJnLk8hyNObGnp0kwF9EnresS48x5+fljNli496XX6ZZdT981I/P7lGBxsKpnfP4cegAbmilWq7t23PD9Q/x/ZztnDzdsVsFN2fxSbbPGsWTg66nSdO2XHnV7Tw/aia/ZBZX9dnWOGxUZB1h8tv3ccPV7Wnb9joefnoMK+JLsbqLaIpO7mf5t6/yyLVd6NS+HZ173cLwz2azM/l0qSKWj+jH68Ne4I333+aNx6+l3RVXcvPdH7BiazLm071kbOWUHFjJ6w/fR9e2Lbnq5kcYOTmebHeQP30QrSLnEBtnPsett3SgQ4fWtGx1PfcP/ZyVRzKxqnkrz9zO26O/5Pv3nmHqKwPo1OUOxn70EX16XMewT2ewN8c1GhzWAjZ9O4LbX5nM+I0ZVQPPoj7RoMdcfIq9c7X3d6Ntm0488uz7LN+eelawTt49nVGv9aPLla244ooOXN37Cb6Yt40seylpRzbyxTsfklywiTfuHcwj997D0+9P5uNF6RzZ/im3PvER2w6dVOOxk3VwPRPefpTOHTvQssWV3Pbg63y/Ip6qSdY+MY8JX33EF689waiXH+CKTr14+eMFzHj5foYPf58vlhx3lcRewfF1Uxj+yB10bt+aTl3VMnpuDGtS8qj8NciXk3N8BV8+0IfenTrQumVLBtz9LFMW7KZEfSce9bMX4n9C23HgUDXXREh4OAF+v120wehVnbpxBhwluRQXyq54cTmrpLikmHyHnaa1ozGXlFKSn0t+YTEV1j/egea05rHyy3EcyY2mQYfr6NjAz/2KuBg8LsSnbt/AjiQzhtb9GdylOoFe6kd07p7LS1x5+l4WL1nO9PX7VdxzYLaYyUzdwqQJPzBjwRYVp7VsbmPXsh/4dtoCNuxPVRsgC8UFSWyb/SVfz1jDvrSqDU55wUnWzf6WCYv3kqqdG1CRytY1c/jknW+JL3VUBfmSnWxdNJ5Px85nT3YxZZWVlGQksOjHKXw7bh4JrjHZKc04xqYls/hp7jLWHyygorSAg5smMXrueta7jjVXkJOwhndefptF2/aQVW4hN2Uf25ZNYunWVCpVRTd6mdTnHWPtrCm8/MFykk9WquFOdJZUDu5axdxZq8gu0fZSaycmr2f+wrXMWZuO3ceId8NowrMTyT6SSGp+pWuqbKXF/LLrF2xqvAGhYa5hZ9Lp1E/YVsbJE/vUdC8iu6CIivI8tiyfy9gJ01mYqZWyU7BlEuO/mMLEnw9TUubEYrVQmLaFOfOWs21vEjqjHqvVikM7yqDtideOemhHClTjxOHQjihYVRkfKlN+YfFP4xn38zYKysqx2ktI3rGA2VMmMmHlMWxOrRGjPi9lN6uXr2HJusPY1HdsCDFRnnuC5KQ0ThVpLSILFUen89ln37FqRwIFlVbKC09yYNsC3vzqZw6nl2gTTtHRTawZ+w7Td6WRXV6pps9Gwu4NTJsxlZ/25GA/52iDEOJc2h5EH3x9KsjLzqS44rfdG7bikxxJd5KXUYy5XPbEi8uYw0yx2qZllRfinbKVj155ifvvuZshL7/DDwu3kZKvbR/dZU+zlZN/eBuTVh/Hu+UVdOjWlhD3S+Li8KwQX5rMuk3xlHnX4Nb+fanpV4FO/ag8LcfkJx1gx75MsgLa0v+54fzr5dd44ckbiAqqJONkGiobq1yayaoVK0jVx3DtPc/wwegPGPnKY9zWOpBjG5ez98AJ14mcRXlHWbFwNeU1e3D/kJdVmUfodVUUpZnxnCys6rqSt30Jm1esJsXUgFuGvMiI117n5ccH0jQgm12r5rJw80nXuEy+/iqsOvCJasq1977IKy89w7WNVGNifwLxyTkqw2ewZ90SpmxOJvbqPjz96psMe6w/V8UZyU7PxWJ3qKCrPjPvJKlJhZQau3L3Q//iuSEv8Pi9XakfUkzClt2cKrPg0BvxK84ix1iLwB6P8fqIJ+nWsxd3XlOLEEceJ9Nd6ZuK4hyOZOrp1KImbc7XwtcZsFsLVcMkD2t4R54Y+iKvv/oMVzcL4viuDUxeclQ1PSo4eeQwGdmhNGh7N88+/wpDHn2Ym7uEkXP4IPsPZRNQuyk9+9xAhH99bnnoEe576hkG39iZ3q3CiKp7HU/feyONYn3Zv2sLG3cfxrd1H4a/+RYfjHqDZwZ3pUbFcTYtXkxKobbHwoCvpZRCZzihV9zGyNde4PbejYkMD8TL5IWPlx5zaSrb533P5gwnbW++l1fe+YC3X3uOu3vXJ2f9TFbvzaBAjSn3SDyb5vxCca0eDHr8GV4f+S739u9FZGAFR9MLVQPWtRSEEH/IBy+1zWjaysSxXevZtHmLaiSncezQLjYuWcjSRAu5RTZ0dpsc2RKXr8oKiosLOJWTQcr+Nezev5cDavu4fc1i5k2fzpxNh7Baz75whbW8iMRdm9lV0Yi23a+gc/Mg9yviYvGcEO80q/A6n/j0Smo1acWAK6JwONTk69RMGAyo/zyGthfYbjbi6xtDrcZtuKrrtdx44+30v+NGOrdtgJ+9AkvePnYcKSG2aQf63HoLN93Ul5tvvplb+91A9aKDpJ84TkZlAWUlSSSk+9C7/708OeRR7nn4WZ577lEeffQaonV6vDDzy+pfOJaigvCAR3j66Ud54L77eOi553jszlbU9TrBmp93U6TSoN1hIzi6Od1VqBz65AM89Pij3NGzI+G2SiqK8sjLOsmeXUeoaHsrgx9+kucevpdHnn6OR+8bTIe4IIwGHXa1ISSgGnEtr2Rwv5vp3q0rbZo2JSYqBC+DzbW3q8imbSyd2Iq9qNnuavq98Cj9b7qOhqExdL6+OSZjERnHU6jQ9gzkJXLSXIMG1QKoc76jdNp04yAkqiZ9Bz/PEw8/xH2PPMMT911P81ArW2etIVuteAyx7eh2bR9u69Objle0p0nt2oSG+uAsL6Go2I5PaD2uvLY7Yb516DlgILep6b756jZ0axJCZGxX7ul3NeG+eSSoxkBaWQjX9LmZG2+6SX0vN3P7gNvp3DAcx9H1HMzQjlg4sFcYiKjXhuvue5g7b+9Hx3rRBHoZVINTh1E1KgozEvl59m68G3ag+419ueXmm+h766307X01XfX7Wb/7GIcLinHYHJQWhxEQFE3j5q25sut13NxvAP369qRdjP9FP5FYCE/k61+bq/p1goy9LJzyPZ9//gXjxk5k1rxtZOpt2FXdlKokLmtqu6wzehEaHo5PRAh97rmXF159ibt7NseYvpPZC9dSYD6zky5UlJVwcP8h/Jr04MoWccQY3S+Ii8ZDQrwKhoUHmT1xOoW+KtC1aE+Y3UKpCoTaiYk2cyXqP+WP+21dSiJq1KF2tJ78xGWMfuN1Ro58g7fHbKRMV5OWrZoR7F2GvSCek7mQe2A3K374krdeGsHId8fww7oETuWWkleowmdOGvbyPCxhTbmuVSx+rm8zgPote6ug/iBXxGibpWQOHiuh1NSY9l27Uv30N66vTscObbimQQClSUfIrXS6TpqNiqlHg9jaaB1XnGrZ1q4bR7hqDDjKSymoKKew0kD1LnfTOS5WNRA0JqKbtqNHl6YEmAzYLXp0EXE0aVEdQ/46vv/ifT54/10++GouS3anU+bj5bryi+vkWN9YGteJpu0Z9z2q0ek6/H19KMlIIT+vgMJj26moUZfqAaFqzn7P6bRh9IqghgrpXTtEu/ekeavPb0XXhmE4juwmpSSAJle3p3ZUIfFrJ/Dxe2/x0cefMH6BatwUmnF6a1OkGhiVZld3FXN5uYrZagWlVlhmqwrk6rdWVqF+g+YEivNzOJlSQvLaeYx5cySv/esNPp60hPVHsqkoN3MqJ1c1KtT/TKHUrlmDxtGnp1praqipU8tS7yhRjaJMdh/zojzzJBt+msAnb7zGa2+P4tvZ68ip1JF+7DiZmWaq1atPm85BpO6YzRcfvceIl0cwae42ynUxdG0RqUYn0UOI/4/Rx5/GPYfQr1tLihK2Mfmbb5i7YgclEe24rbmRGgFObA6pS+Ly5fAKokGbq3lkyHD+NfxfPD90CI8+8DTPPf84t3RvQeWBvRzTLj7hLq8pKy0j8UQ+Ha5pTM3qwe6h4mLyjBBvUeHx4CqW7c9mx9aNzPvuQ4Y+9zwvvf0pmw9lEz9vNJO//IJ5qw9wcW819OcE1bmCvvffy313dSC0YC/z5//EjxO+4v0PPmLctCUkZFag1+kwlmayafnP/PDdWMaOG+e64+vYb6ewNT6N5OxSigsK0avA6fD2Qu8+c/x3rJWU2KzYA3wICzu7t1pwaAgR1QKwWkvUw7VTG4OvFyYVtKsY8PL1ViFZBXPtl6JeNxr0VAsJRK9dMNbNYFKt95AQfFQhk8mBI303iyeM4+sfJ7Avt4SguE70G3APN3ftTIRFhWbtTer/nH7aGe4mztrBHn0VdULD8XcUsP9UDok7tlK9di0Cw/5oBaFd6UVNozEQ0xnz7xsQSEiYHw5dgQriheyYOo0JX3zB3A1byPeJonnX2xjUty9NI8Px0q5k437fv6U3YrKXk5O8h1lTvmf8+PHqoebzq/HMXbCehJOlZOYVqnGpsan5MqmHt1pe56NTy0+nyqVuX8SsSd/x9bdjGTd2HN//OJ0Vh7LIOphMwaky/FteS59hI7i/X2Ny1ecuWjCF78Z/wvsffc7b364lz3724U0hxHnovfCP7czAp57j3VEf8/nnY/joo5G88PRN1MOEr48PRrXukxgvLld6n1AatruW/nfeTc/61X7daRYc08R1FDjGlscpFRJ+C/FFlFYkcTQrmKsaRFMj5NK/y/8/kUeEeO22v+WZSSRlZXHgl/Us+mmiCjsTmTJroQpOxSRvX8j6pQvYvC8Vi/s9lzTfcNp2vZ7Hn3yOl0e+y6iRbzDy6Vto7JXOoe3r2XEkS30xDrximnPv08P5+JNP+eSjj9RGZxSjRn/JxEnf8Pw9vWlSJxyrfyC6Cis67cQAVzo+h8mPYLUB0xdUkJOj9bL+TUFuHtmphXgbQ/BW9U+nnWCgNmNnbsi0a8BXDdAujeig0mwjraDc1cg4TbtMYl5BLuWqghvsZo7u283BXButH/uMV559mqceu4+HH72ZazrWJ0C9/1eucZ97U4hoGtQMwt87i817D7Bjcxm1a9chLPh8++E1ejVlZuz2Ys6Ms+XFReRnlWGwhuBvOcnCNeupqNeDu178mBFPP8j9Dw5mwC2dqBuuGiTWM2/kZHDd0MI9yy7aybOuPd62ShxqRdek88288eFoRqnv5OOPPuSjUZ/xjWpgfTn6dW5pF6sigR671iKqerf73zOo17TLfdqcerrd+zKvv/8pn3+ifb8f88mnYxg3cSpfjRzIVY0iMBJKve6DeWbIc7zz/kd8+sZInhugGjr6FDbO/Zm9OXaqTgEWQvwRc2kBWya8zKpD+cS26sbAwQPp26MjLYOymHNIrT8ialKj+u9PnBficlF6ah9LZ/3EZ+M34jScsd3SLjEZ5IvO18d10uqvPWaKM6g88QvZobWIjQgl0OQeLi4qjwjxGH0JaNyHF0a8ziuvjmDYC8/xwnNDeeaRu2hdV7Uer7mbPqr12KtjPbzdb7mUnYxfw/QF69lwqga9br2fx58dyktD7uW6+ipQ5qSQXmRDH1FfVRgzXoHNaXf9vTz6xBM88cTD3NUrBkv+SQrzinH6RKpFE4ZP/m42Hj2Bxf1t5hzZxYwvv2DixhQ1hpq0bBZEkOMg29evo+p0UcV5is3bdrP8RCWBDRsT4aVzdXPR+qqf1RbQnmihU+dNYGgkcdEmctd/w+ojSe4Gk5WUPZtYvOYApVrfc6edgrxskspUkK5/HTf0vJqOretgSYknfu8u8rxUg+LMQwZq3Gd9ngq9tetGobNlsX7VUpIKvYmrU5fggPO38nU6I1ZLJicztrNlT4H7B23mYPwu1h7Nwdm0HXVVwE/JziItoB61u9zINR1a0aK+kcT47aQWFmA1aVfD1SZFhXlnPhU2X9d4TAanahxo14Avw6RXJXzj8PMLJNjoTWjc9dypvpPHn3iSJ+6+mhbRdk4eT8Hq1FZx/+Zudaoh5DD64R0URoOQSpy2cJp168c9j2rf7yMMvqkD3pnHOFGhLfMiUnatYNzoH9hV2Ywbb7uHh194kafu7cfVtX0pO36ItBInlrMXoBDiHE5rBdl7F/H9/NUcKtPh7+uLyWlm3eyFrD/qT0TtutSsIXdSFpcvnaWM5P1rmTX1a6Zty/91h2j+zhVsXr6E3PDa1DEaOb0ltuVnU3A8QWWVWAL9tGvKi/8FjwjxOpMvQc1v4pnnX+Kdt9/izTffZORbb/Pm8Kfo2DCc5n2f4s5H7qNXlyZ4wmq4NG0P83+awEeffcus2atZtno1a7fv40SuFaNfEJER1TFGtqNNjIO9G1cybfos5qsAvmzRfOb+9D3jJ8xj15F0KnXVCA6sTeMaxSyaO41Jk2exatFPfP3ZF3z0/lg2pJZRbPelY6+21I+rZMecHxj/wywWLFnE7G++4oe52zlkrU7r69qpBoMOvUO7ydLZidAV6rX+6w4jYdG16dihIaG7pzLxh3F8NWsxc6Z8z1Q1ffEp5a7LMWI0EBgYhL6sgN3LpzFr8RLW/DyBL0aNZ+6irWQ7nJTZtT3f2njPDfBVatSug5+jkhPbt5Hj34DadSLVRtf94jlcYVlNd276CRbO+IYZcxeqf8fy3dR1HCgP4ZpHelAj0J+avn7kHP6FFfOms3ylKjNhLN9OWMDBY+mUOBwq9hvx0u78a0hnw/wFrDtWSp7FCz8fA1lpW5mzbDuFzpo0qBdHqDWZmZNnMG/xUvXdrVPLfiqTJ07gp583kmt2x3e1zH536VNtfrWbO+n8CanZiNv6tSBj8yJ+njmTWUtWs2qp+n5nTuPrT8axJjGPUr03xYmbWfLNy7z/xSR+mrWEVWvWsmFPgusqOLqYusT66VDtLyHEv2H08iKmaUPSflnD7Ik/MG3pEn74djyfT1yOo34f2jVvQE1/d2EhLkP+1WpSOzoQ71Ob+fKTsfw4ayGrFkxk7FfjWbJ+P9VadyDKSzvOXKWkqIBTKckEh9TAx8f4xzuuxN/KI0L8+Wl3wHSi16vgpUVBD9obWbfNVXSv66R8wwfcPfA6+vTpw7V3P8e4o3ZC2naje5M6mLxq03fQDYRWrmfC6/dx69XX0OfWgTzxwQacMe1p1aYp1UwQWq05N93ZD8umGbxw/51cd8tg3p+8BkOjHtzVqymBBlU5r7yNrr36EnhyC+89OZh+fW9h4AtfsDHRiy4detK/W7WqfcdqWRoMhrOueKJ1JdGG6Rw2vKhGoy59uLF5E9LmfMNLg25i0GMvM21HFk06tCTIxwuHlze16zXnyuqqUi/5Fw/d3JceAx7j+205WPxiCbEUkqFdYlK7Sot2VSH1YedWfv+omtRUDYHAMivF0ddRs4b32f3mz+DUOfDzq0uodx1y93zOQ3ffxs13PcfktQW07HADb93eAMJjubZFW5pkrmPxm4O54fp+9Hv+Ew6VhxNgtVNZUkSWav6FVatOdA0zs98byudfTSahIpy6DRtRcmIJr7z5Fdv3FdOu+3V06x7DieVv8dgtfbnxumu49eGPmLvHQeMrr6N5Xe2Ao6pWOrUcteVWNZku2p3uDAb1a7Xp8QtsyM0vv0jz0BQWfvoc9/S9jt59B/D4q99zwrctt/RoSf2oCBq278zdNwWr5f0vHrnnZnr16smdz7/P1FQj9W6/hx5Rhl/3jAghzs/oF0jDmx/khmoVbB7zGnf1uYnHXnmXHWZver7wEt1b1fnDdYwQlwXfWNp2uo6+LRuSue5dhgy6VeWJh3l97lEq6vdm8E1X4eP92/720pJCsrJzCQ+vjq+Pdixb/C8YRiraHytWrFABoRf5+fkEBwdjNF7qB0ec2MuL2Be/B329a2hRL4rYP+o2/T926NAhjh8/Tt++fV3PDUHViYtTQTXAj4rsCoJiYwlv3ZK7nnmRxwfdTtNwVSH0emrENaNJzQAVVHWU2LyJa9CIjrc9zvBhT3Nt62h8VFY0+PhTK64J4YYsSu0mdKFxXHP7vYx45zW6xxiqTvbUVSemVgOa1gsis9BMcGh1YpvdwuNP/4sXn7idBq5Lu5pJ3baG/IAm1G7ZnhbawnTaKck4wt50FRibNuSKpuozg2O56YY2eBusrps7xba9hRvveJyutQtI08dxfbsmxDVuTEx1P5wFxzD71iRcPb/x6Ve58eq21Dek4d2oJ81CyjmSkElYrThaqpXGWRtQbwc5h/dx8HAmQf2f4r52aiVhOn97szLrIEkZZoi5kgce7EbOqRKCI2ox8KkHGTJkIE38tQ5WfsR1aIG/oYjKsiJMUQ2o3bULDw0ZQn2/EiJr1qZWGxWaw4048k+QXe5HTL12dL6mHfVbRJJ76AhW7wZ07nkFLRo2pUHdOtSO0JFWpNoH4WE06XoTAx8bytMP9aGWn9aarOTw7n3og6Np2LoN0QFaXbKRuW8raY5oYpq0pFPDSNVaaUJn9T1qJ9XaMFE9tj7te/Rl+Pvvc4saHqTeZgyrRYxq2EXZzJhtJgJDQql7tVqhPvEYn97XAx+1XM5tBImLKzk5mVmzZjF06FDXbcjFJUhnxCegLo1a1KDMZqPCbiCu45X0fmI4n9/Zhur+EkIuZdrN9w4cOOCqXy1atHAPFRdaQEQUTVrGEWIqo9jhS2BgQzpcdx+DH32E/lfG4H1GV9i8lAMc3ncK/8630rlpDfz/YBstLqysrCxmz57N008/7crtOqf7mP+wYcMYNWoUiYmJxKpQ6eNz6e/fc9otFOTlYvcJJ0CFNd9LdD2sLXBtYWtXlznNaTdTXlJCUWEpNlUxHCYjgcFhBPn7qjh3mhNbRQkFxaWUVVhce3a9/IIJCQ7C58w2ltNBWVEORaUq6Nl1+PoHEhoWgveZdcphx1xeTK76PLtdfeVGP4KDggkKUMHfVS/VOHJOUaHdGCVADffVPsDpuplDbokDHz8/QgJ9qgKjU7t7bAHFZZWu8fj6BeLlLKbA6kNksD++Xgbs5jIK83Mps6ox6w34qXnz0o6eVJSiC4wkyGSlsKAMg7daUQT5V1128rSyRGZ++SWfLz3BXZ/N54EW+j/8bu0VhZSo+a50+hIUiPo9FKH16glQDdHgoCCMv65zHJQX5VGklqXZaUDv5eV63VpajM7kh19IEL5YKS3Mo6DUitEniJBQf7UMzeRl5lJu9yEsMoxAH/XtaJecLCkir7hCLXqHmgc//NWyDFa/wapFbqcoLx+73oSfGu7jOknIQUVBDiVWIybt+/GvugKQ01pOQWExpRXaVXv0mHzUcg4Lx++M71e7jGapalwXl1e6Lqmq9/F1fV7YGbePF/87a9eupX///iQlJamNnvoRikuWXdW3/PwitT41q3WA2mYEhRL5B+fbiEtHUVER06dPJ0itswcPHuweKv4WtkqKiwooLLOorKDHyzeQQLV9DNL2Gp7BorJBaVExzoBqhAR4YTjzXDfxt4mPj2fgwIEkJCS4crtHh3hPcb4Q75G0X8p/UE//w2Ln0N5VRtq+E6T+soip6w6yT9+aCWNfJM77YvT7+nNTLYSEeCH+XhLiLzGyufyfOTfEy/EP8Z/7Dyvtn6vb2lqhkJ1Tv+Kbb6awJ9vAFV2vpt5FCfAaWSMJIYQQ/y/ZXF4yJMSLS0rJqSOcKjNQu2krbr+6kawrhBBCCCHOQ0K8uERoP8Vq9Br2Du9++zWvPTGATnGuM26FEEIIIcQ5JMSLS4gX1Zt1on3nzjSOi8Eov04hhBBCiPOSmCQuKXqDEaN2B1WD/DSFEEIIIf6IJCUhhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITyMhHghhBBCCCE8jIR4IYQQQgghPIyEeCGEEEIIITzMeUO8Tqdz/yUuBFmeQvxzna7fUs+F+Htodev0Q4jL2bl1QOdUtD+GDRvGqFGjOHr0KDVr1sTPzw+Hw+EqJP48vV7PrFmzWL58Od999x3a4nYvciGEh9Pq95o1a+jfvz8nTpwgODhY1ptCXEBaaCksLGTGjBkEBQVx1113SR0TlyVte7Nnzx4GDx5MQkKCK7f/LsRv3brV9cjLy8NoNLreKP48Ly8v9u7dy/Hjx7nllltk5SPEP4i3tzdHjhxh5syZPPvss66dH3a73f2qEOJCMJvNHDhwwFXfWrdujc1mc78ixOXDZDKRnp7O7Nmzyc3NPX+I37hxI4sXLyYjI8P1BvHXaMswMTHRteC7desmIV6IfxCtfqemprr2xg8YMMAVMqSOC3FhWa1W144wbadYgwYNpKEsLkva9iYrK4u1a9e6jk6dN8QfO3aM+vXru94gLoxFixaxZMkSvv76a/cQIcQ/xbZt2+jbt69r5aod7hRCXFhaiJ8yZYqrO83tt9/uHirE5Ufr8t6vXz8OHjzoyu2/2+Jomb6ystL9TFwI2vKUw39C/DNp9Vtbb5aVlbmHCCEupPLycleXGu0hxOWsoqLirKO9sttICCH+AvfBTCGEEOKikhAvhBBCCCGEh5EQL4QQQgghhIeREC+EEEIIIYSHkRAvhBBCCCGEh5EQL4QQQgghhIeREC+EEEIIIYSHkRAvhBBCCCGEh5EQL4QQQgghhIeREC+EEEIIIYSHkRAvhBBCCCGEh5EQL4QQQgghhIeREC+EEEIIIYSHkRAvhBBCCCGEh5EQL4QQQgghhIfxvBDvdKr/zv/wJP/ZNJ+eN/fTC+hCLLMLMQ5t5v6ueRRCiHOdXm9dkPWXEP9E59SRs2vJOa+d5yEuHs8K8U4HhbkZnEg8xIGDBznofhzYv4/UzDzK7e5ylziHuYTM1JOkpOVQ4R72O2peLaV5JKdkkFVQisM9+EJw2Ms5lZ5OVm4Blj9Z32wVhaSnZXAyp4g/v9idVBSeIjPpGOm5Zdil7gsh/kaOyiJyU05wdP8BDh0+RlpmIVb3a0IIjYWSvJMcP5zAwf37OZacRn5ppfs1sJYXkpF8nEOqDp3OYL9lscOq/ClKtDDvLi/+Xh4W4q1sX/w977zwAPfe+wAPPPggD6rH4IEDGDN1GcfL3OUucZbs/cweN4HPv11Mhnp+vh+702kn59AqRn02lZ83HsLmHv7XOXBUpDDju+/5edkGsv9kAi9J3cEP46cyZeE2fqve/y0dKeumMvW9l/ly0RHKHVLthRB/D7u9mIS1P/HN68/z5L338/DjQxk5+gcWHs2jxEN2AAnxt7IWcvLAWqZ+9R7DHnuE++++m6dffosfF28hs6JqV2LBiY1M+PhVHr3r7l8zmPZ4+NGHeeC+53nz4xnsV0Uv5I5H8cc8K8Tby1Tr8BBHjydTrvLebxOvU//zHPaKfJISjnIwIZU/bHc4HVQUnGTfgWMkZxZeuAqhlpvDXqqW4xGS0zKp/JO52VqazZHDiSSmZP21BobOk745IYRHcpgpTd3J9J/ms3pvCgUOPbaiTOKXz+OLH1ZzKL3YXVCIy5WDzGO7WTT9B777eQvpxVb0Ohun4jezfOY0Fu84hkUFEZ07eJ3Za0Zn8MKce5xjh/dxKCVXG1L1gvjbeVSId9hyyK/0Ja71DTz7rxGMGFH1eOPNt7ijV0difNwFL3E6vQEvH298fLwwaM+rBv+O3mDCV5XzMhkuaJXQqVqofb6Xl/FP/wB0atp81Di8vUx/6UdUo+0N3PDgEAZcVRsfvVR8IcSF57BUkBe/gnWHy4nocjtPvPIGw5+8i2tqwsafZrLjUDol7rJCXJYseRz+ZQeLl+2lrE5nBj49jNdfe4V7r2uGd1Y8Py/ZToXZSlBMa2686xFeGvn6bxnslefo170VV3RoTKuObainQoFHhUsP5lHL2V6ZSp4K8dENu3HXnf245dZbuVU97ug/gE4tGxDm5S7oMZyuPexlJUUUFRRQXFKGxfr/HNd12rGUl1JSVEhBfgFFRcVUWOxntYpdHFbKigspLMhXZcqorFRl3C+dxZWbnVjVOAvySymvtP1Wzm6hVI2jQBtHsRqH+dzjATrVIHC6+sSXFRWockWUVdiwn1nM6cBcWUqxej1fTW9hUYn6DOuvRxYCoxvQoG0HmtcOwahTZcuKKS8vp6KygvJS7bMLKS41Y5cO80KIP8luMZN9eC++cR248fZBPHjnTfS/+y4eG9SD8PwtHDiWyknZGS8uY5V5KRw7mkGOviVPvvI8Dz0wgJvuuItHHr+PPr3aUnkqA7vNhndwLdpc2YNb7ridfu4MdmOPegR6BRNdvxU9enWhusoVskvu4vCoEG/LTXOdhGTwDcRDdrr/MZ1BLfxK8vP28u3I53nkgXt4/e1vWL896Y+7p6gAT8FhVk38iDefeYyH1EZoyIsjmLEhkYLyM5Kz00x50nbGvPYwjz50F888+xWzFp6gUCtyVs3SoTeqvF+RxdaJn/DE/WOYvfRY1cm29gqKE9cz+rWnePi+gQx/+SsWrkil9MyArs2D3kxGxlZGDX2AB+8dztiZ8aTkugO3CvDW0jQWzX6fF194mLvvfoinnhnJ2J+3c8pSNZfJaycy6a3hjFl4WH1uMRu/GcGk8eOYPnsKEz9+kgcfeppXPlpAYkq+q7wQQvy3HE4nFRVmwqtFUiPcx3UEFC9vFTqi0HuVU1paTqXZVVSIy1JhRhI5FgfVOt7A3e0bEOqqJBDc+Bpue2gYbz/bjwBfU9XAs5QSP/kr1u3VE1j3Krp3jHEPFxeDZ4X4jHRMJivpR/by5UuvuPbAPzriY1YdKXZf5cVz9taavAPJS97PwjGP8vmPP/HzwmX8+N1XjPlxCovjc9Dp9Wd0FzegVZ3KjF18PPQV3v30O36c/TMLli5l1tSZfPrmJyw/mkqRayd+Jem/rODt515l/LRFzF+4gp9++oyvx3/JjAVH1avqK1cj1kat03vhMBeRvG8pY0bPx9CxDbXbNMBPLc3chGW8/Ngr/DBlHguWrGTyxG/55oexLNl10rXnXafG4eXvJGX7fCb/63G+/mkRi1bO4usvRzJ90TIyKrUjJxWsm/wWX3z2I1OmzWfZskXMmT2Br0e/zner09FiuTUniRPxu0hI165yYyEvcTeLJ4zhg3c/5qNv5rJ48Tx++n4kr0zZwLok2coKIf57Ri8TNZo0IG3PfnYfzKs6F8lazNZtWyktCCE6KpLQEFdRIS5LRTmZmFUyCGtQD1v8AkYNv4+B/W7g8ddUQE810qRZQ0wGo7u0m8NCedIvjJu7hvw6rWl5VVdiZRf8ReVRIb4gI42MQ1tZtmgan337lQqEs5iswumIJ19h2uIDFHnMARyjaowkkZZ0iM0banHvm+8zbvInPNA9mrT9W5i+bu+vQVujVxXHRgnJe1cxa/VKKmrfyIOvjuHH6eN4+6UBhGdv5tOZm0jLLVfN6WNsWjaLBVv2EnPrW3z8zVeMfKIRQbaNLF69hjwVrqsuAqPDN1BPTtI+Fn39A4XNr2PQTa3pUMeAOW0Pa36ayML4Y7Qd9Cqfjvua5+9viKFsAws3HMCmUrxOb8K7+BD796WypeganvtgLB/f1xNHcTLbDiaSU15GRek2pn6yFr/oO3j5ve+YN/s7vnzlHq7IO8aGlXtIKShV82XHqsK+2d2NyGEuIymzCGfdztz35heMee9ftInMY8P+BPamFrrKCCHEf8PgHUhM5/vpEVfO9hnv8ND9j/Pwwy/y4U+pdHzmM268sjWx59vJKMRlQusGay84wbG1E3ni2df4dOwUfvp5GT9+/Q3fff0jGxJyfnc5aVtlEcd+2cym9IZ06dGZ6zpHul8RF4tHhfhTJ1PILy4gIC6OrgMH8sRjD3F7u+ocXDOVGfOXsyfHXfCSp8NhK8Q7JJLmvV7k2SFDuH/wswx9ahCtq3uTtH0X2eqrsatyWpDXG6C0NIsjexJI8WnJzQ88wfMvPcY9Ax/huWcepf91cRxduoXErFwy1TI6fCKH4kY38Mxzz/PMw48z7MVhPPbgHVzdriZeWncYFeL1Ri+KkrawbclM1hzSc+MTD3Ftkyh81csZiUfZo3Xr6TCAx4Y8x9MPPsGLw4fy8D230KFeBAY1UU7VyHAU5OMVEkeLgS/xwjMPMfRf99AxKhhHTh55xSWYfPxp2fMu7rrvEQbdeSfdu3QgLjpENQAcZKecpKS8EofBoOZPj9592EHr2x8a3Zyr+97Ds088wuNDn+COrs0w5OWTdUo7610IIf5LehOmyFpEBFeo0LGQnyaO5ftpM9lwIJPgBm2oUS3QszaGQlxgWiYozz7B4Z2r2GKJoWv/hxny6KP0bladjL3L+WH+OsrMZ99VwVxazMF9e6isfTVdWjeirsedl+j5PGq9pQ+P44redzDs3Y/4cey3fP3td3w3aoQKeYHkp+xn1y8p7pKXOjvminDiWnbloZc7crrtWrtjT65u24TIzONsMetc/f+1cKtd5qmsKI/UjAr8Wz1Kv56NqeH+5nQ+tbju1j40y08iKb+Aw/lFmNWwGtcNoX/TqkNfxhp9uO3uEQy7/yYi/RxqfGDSWTi8eg5L5y8irdqVXNOmHl5eWpCupLSokCJnDeL6Pk/XuKqzD4JrXc+d9wxnyK3tMKrPdtitVOpiadPlSh4eVAOTdqpq3Sa0rRZAtKVENba88A7sxBPvP0hMYApLZ3/Pq6++zxujf2BRQRkOkxGT1mXINfbfaHv5G9RrzhX1GxCqnjt1Rpo1bEJ1tfIwFxVfwOvlCyEuF3a1TjqxYzab0ioJb9WNm26/g9tu7k33Vj4cnfc12/cdo9BzemMKccHp1Da80uGFT622PPvx13z/3VjGjB3LV++/SI+2EexZt5aMCvOvF6XQlJeWcvTEKZpe3ZSYyGD3UHExeVCId3LFA9/y3juf82SP9r+e2OrT/Cbu6RJDS0cOOcmZf+HGQxeTQ81NECZDMAHq2elth84URFBYAD7BVrIztaCsDVT/aXdvraykwmEjtl0jgs/ol6Z1tQkJqUZAuArfxRZyctQS0NmJVuOx/9HNk3R6jCXHSCs2crw0HH32LnbuT6HMtfBUg6GigjK9g1pqHFqoPh9tmuxhsYTXiKJe1RD1CCO4mhf+oXoMBgfWsuPMevc5XhgyhA/HjGVrQhr4RRFr1E4s053/DAb1izQG+uDl5+166nQa8Q/xweRn1M6jlb1lQoj/WnlhKks/epscv4Y8/O6XzJ09izmzJjHmX/cScOQrlixez74kz9h6CPG3UPkioG47OvV7hpeurOPKJprYjl3od10vmualss/uoNQ93HVn19I8jqd60adzHWKrn36HuJg8JBNpbb8CDqxey549x8guPXN/rJHAQD2+QSoWepmqrjpwydMCr0WFbDPaqZq/7o22WzBXWLGZ9fj5qeHaCyrpOlUJg8GAQQ0oycrH7DijLey0U1lZjqXCgMlLLQffqiVQWmlxlf+9qpFW2oJpf8sgHhlyN1eQxdzV2ykuLVevGTEZ1UP9VVJhUdNw/obA6aHnXtpSu9myU2/EYMuhIm0ls5cdp363G3lw+JuM/Ogz3hvxHH2qh6ImFfvvrov5mz9+RQgh/htq/WhO4uCBMDp0upkOcXVd6ze8qhF3zU3c3dgPS+JhklMzXaWFuBz5BYUQGhxKwLm5weCtsoWfemg7H8/YMpvTKc/ZSaqpLvXVe0PknJL/CQ8J8dqPqoIdU9/nu3E/smr/yarBijltB5vjM8nRhVEtplrVyvmSp1dBOY+c7AQ278z79WSRguR9HExMpcBUjebhTle3FacKuk6dAd/AYKqF+JCzcwE7j2SqzVIVp7WA/Tt3kqaLokZYIHHVAjFYismIX8WJMneFc5Zy4uBe1qzfRW6pGYdqBDh8Q6gW1ZTuV3bj6uubcHzTAnalarc78SEkKJBA9Z7k3SvIrnBPnbmIo/v3sHzzQWwOrVnxm9+qtfsvvWpQlRSqDeMBDnnH0OmW+3jk7tu4qVNtQn1KyLZW4nB1EzpfI+M8JNELIf40tSLV6dE5y8lKy6CwzOIe7sSSd4qkYhsVJhVUTOdceUOIy0hgeBTeukq13V/JzsSyXze75SfiObh3BxmGYKrr9Zzu9u7Iy6L46H7s1WMJDgzA9B9uzsWF5UEhPogadQ2k7FvHz5MmMXPFKpYvmMWUcV8yZY8RR3RL2jaLqiruAQxqo1GSncTWn79gxtylrFq7kEkT5vBLciHVWrWmkd6JQVUjbZ+7w6EjILQa9RvF4nV8JXOnTWfyzCWs3bCMmTN/YuaiLeibNqdORDgNasYQG2GicvssJkyfxcLlq1kyfSITJ05l7oqdFKntl6tyGrW7xZqoVqMura65ijplB5m96ih7CyCmUT2aNAgmf9VEZvw0k8Wr1jF7shrHpBnM33IEm9357wO49gEGg2oPeONQYf74oYPs2rKRFfNmMnvufDbnlKg2QQV2ux27VHwhxN/KG2+fGrTtHMnRTQuZM20KC9asUduPGUz7cSoLD6utS/36xMZGuMsLcfkJjKpLregAdGkr+HzsFKYtXMbaZXOZ/MNklm/Yi1ej1tRVDd2qjq5QVpBHTvIxAsKj8fHz8pQw+Y/jQcs9kM6D76NDoxBS1s3kg5Ejeeu90Xz50w6KY6+lw9XdaRPrIXtSnDas1mAMTi90ZZv57osPGfnam0xYEo8uuiHXX98RXy2+O+xYrFYsFhve+kjqt+nM9a3CSdk8h29HvcOrr7zDp98s4GBBBD1v7EzdsGBMkXVp1+EKukRUsmD8x7z31uu8Pvo7lu48jt4vFB8vo2oSObFaLJjNFeh8Q4iu34HrGvmwZv5slm08jKNGMzr36s4VPtn8/P2nvPPGCD74ehJr9qXhFxyqArwep9Ou5sGK7ZxO83ZtmKUSm18Y3g2uoGNQORumfcHbr77Em5/9wPwdxzH4WSk7lU5RaSWVdgd2NS02121ener9Ftd4z+zP73TY1HKwqc+SXfJCiP+WDp+AWlw98GZiDRmsmj6Wt197jbfeH813P2/DXvNqOnduS/1oj7+FoBB/miE4hpbt29G9RSAHl33HV++9zesj3+Kb2VvJMMbR86arifJRmcVdvqggl5SkkwQGR6pc4Rkdmf+JPKrxFFKvLwMG3sFVbaPITj1BakYRtugbGDr8Ce7u04Ygd7lLnc7ojV9ANZq368aNd96Bny2f1GMpBDXrzG133ckdneuqAO/E4BVAZHgIgb5GFW/1RDbszkuvvkifK6qjKz3J4YQsSix16TH4RYb0akdMkGrE6KvR5to7GKaWSX1TNtkpiSSWBdPgqr48cv+tRPlrd1k1ERwWSlCAr/pbR0BEHD16X0lUyQaOHtjL8cpoWlw7mBH/epgYYzGnThwm1xBBi2tu5rHbuqIdddYZfQkNCyEkyO+MrjV6/EMiCAn2x+Qdjn/MtTz60A3U9KkgM+koWbpA6lxzA0/e2oyYkEoslVYwqXFEVic0wFuNR49fmPo7NAR/90pBu8imyS+YahEhBPvL9auEEP89o3cYjXo+ylMP96VBpIm0Y4mkZxdjqtuRoW+/ye1XNiVKetOIy5ov9dr04r7Hh/JgKx902ekcP5aKvnYHrr//eR69qTVept/CeqXVQYUtklp1ovCVEP8/o3Nqna6VYcOGMWrUKBITE4mNjcXH51LcK+HEVlFKYXGRay+udhKmFnTDI4Px9zFdsi2S2bNns2LFCsaNG+d67rCUkZ9fhsWpJzDMh+LsXCrNVrz8gwkO0UK71tp1YCkvIrvAim9gAGFaWNb6x1srKCgsoLisEqtNh9HkR1BIKMEBXhiN7jjtdGCrLCU7J4dKi/rb4KNayyFEhARiUgvJ6agkN7sQvbcvQaHBmFR5c2kup3JKMAWGE6ZCtK9Bva+8hOy8PCosdnQmXwKCQgkL8Uf7GLu5hJyCCvRePkSEBbmXvZ2ibO2ub174BocR4KXDXFJAbmGxmg6b6/N8fNW0ONX8V3gTWi0Mk6WEspIybH6RRIZ6UZaZTqXODx/1WUGq8aKWFpXF+WSXqFVMgGrUBMveMnFpWbt2Lf379ycpKYnAwED3UHHJcdoxlxWTX6jWOdpJ+wY9Jp8AQkLD1fZDu3CAu5y45BQVFTF9+nSCgoIYPHiwe6i48Jw4bBWU5uZSWG7FYrdj8g0iMCSckICzM5alrJCSgkLsAdVVPvHBqF27Wvzt4uPjGThwIAkJCa7c7mEh/jfuyVbNkN/ubHqpOjfEa6qmX027NvFaONcG/m5e1HBXsd/P46/zf3oc53N6vOcp43r/OeM97zL9L8dxurzujMK/n9Yz5+uceTzP+88uL8SlRUK85znvuk5csiTEX2zuba7mD+tIVZmzt9Xi73ZuiPeo7jRn0n44rof7uaepmv5fn/zBvPzxPP46//9uAfybMucb76/jdD93OT3sPxzH6fJn+nW8vw52P//d34q77NnOKSOEEH9B1fpI1ilCnJ+7fvzbOlL1uvjf8tgQL4QQQgghxOVKQrwQQgghhBAeRkK8EEIIIYQQHkZCvBBCCCGEEB5GQrwQQgghhBAeRkK8EEIIIYQQHkZCvBBCCCGEEB5GQrwQQgghhBAeRkK8EEIIIYQQHkZCvBBCCCGEEB5GQrwQQgghhBAeRkK8EEIIIYQQHkZCvBBCCCGEEB5GQrwQQvwFOp3O/ZcQQghx8fwuxGsbJB8fH/czcSFoy9NoNLqfCSH+Sby9vV3rTX9/f/cQIcSF5Ofn56pn2kOIy5mvry96/W/RXedUtD+GDRvGqFGj2LhxI0uWLOHUqVOYTCZXIfHnacvw6NGjpKen0717dxwOh/sVIYSn0+p3SkoKq1evZuDAga6QIXVciAvLYrFw/PhxV31r1KgRdrvd/YoQlw9tZ3BWVhZr166loKDAldt/F+K3bt3Ktm3byMvLw2AwuN4o/jxto753717XCuiWW25xbeDdi1wI4eG0+n3kyBFmzpzJ0KFDXXtJJGAIcWGc7qpWWVnJ/v37XUe127Rpg9VqdQ0X4nLi5eVFWloas2fPJjc39/whXttrHBMT4zp8JXuU/jqtIaRt4FesWMF3330nIV6IfxCtfmt74QcMGOBqqIeEhEiIF+IC0oJ8YWEhM2bMICgoiLvvvlvqmLgsadubPXv2MGjQIA4fPnz+EJ+YmEitWrWk79kFNGfOHJYvX864cePcQ4QQ/xTr1q3jjjvuIDk5mYCAAPdQIcSFUlxczPTp010hXgswQlyu9u3bx5133klCQoIrt5/36jSyp/jCkuUpxD/X6fot9VyIv4dWt04/hLicnVsH5BKTQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GA8M8U6cTgcOux27ejgcDjXE06h5UNPtcPw/U+50Vs2f+vfC+rvGq8bsmi9t3O4Bf8p/uHyEEOK/ULVeqdp2nPn4O9aFQng6rb441Xb4vLXDnU+q6pCqV+q51KKLz+NCvLX0OMvGvcPdnTvS6cqu3PjAS2w7mel+1TNUpGzis5fe5JmXxpOonp/vh+90WEjbNpXHnv6Ar+Ztx+we/tc51DI8xMevvsZXE+aSZnMP/su0uShk9ntD+OidUaw8UlA1+E8oPLqGrz76gHtfnkqOei4rBiHEX+PEVpzFxHcfpd91XWh3RUc6d+6sHp1o374tn83fS3qlu6gQQilj7XvP88W741h20j3oDJlJ6xj93K106tSZtq1u4dWpmzgqdeii86wQ7zjF/O+/ZMyYr1m0aw97dv3CxoWTeWLYFGZsz3AXuvQ5LCVkpKaRlJLNH/7mVavWUprL8aR0MvNLL1yQVSNy2ivU56eSmZ2H5YImZDu56UmcTM+gsMLuHvbfs1cUclJN35ETWVywNoYQ4vKl1qdWSwUnEnYQv1s99uxlz5497N69h71793EyrxSz7C0Qws1O8v6ZTFoxn1WJaZSftSFWr22Yzfg3PmDM9NWuerT/4Bq+++g1vvx2BgezrO5y4mLwqBCfuXkGC5asJ92/GYNeepf3XnuJh66M5vjSicyZv5KDpe6ClzidToder0dvUA/tedXg39HKGbRy6t8/KvNnVH2+wTUNF9rp8er+wrj9arTgxttu59l7uhOknl/IeRdCXI7sWK255JSFcWXfexjx3vu89+67vOt6vMON7esQZnIXFeIyZi4t5MjWxYz7fCqrDiSTr/KC8YzNubMilQ3L5rNw43GcDe7khVff5cNPhnFjbCVJm1exdPthd0lxMXhOiHcWs/vn2WTZIrjqnuG8+96/GP76O7z9yhP0r1dMRdoR9qdcuE4nfzdXkFbpVNv5U1FaQklREaVlFdhsjqoCLiq8q3Jnp1gH1spyyoqLKSospLikFPNZ73Fz2tV4iyguKqSkpAKz5Zwy2ji1UbvHbVPjLCwopaLS9u/3+jsdmMuKXeMtLi6j0mz/XXmdapxgt+KoLKGoqJjScvX3OR/vtFdSrsZTpMZTVFxCWZkZu7tfqm+1hlzV8zruvrk9/mrsdkuFWjZm9VkWbNZySoq1+SrDYpVdZ0KI/4DTptabqWTb6tDzjid59+UXeXH4cF566SVGjHiFa1vFEmqU9Ym4vFXkZbJ/9SqmTJrKpn2lVNp98fVSrdszqkZh0kH2pBbgqNeVJ4e/yciRw3nx+Td59/l7aRIBCXt3I/viLx4PCfE2KD/Oxt2F1Gp8DX2ubk+ECrNmi5ngTrcyuP/99GnbhEhfD/rp6PQqyFooLk9n6+qlzP95LqvWbOVocg4Wd5Hfcdiw5Z/k8M4NrF6ygJ/nzmXx8pXsPnqK4sozwrStktJTx9m8agHz56syi7cQfyCLEm3EZzUItEaCqp+WQk78sonlS/eozy/64y4s6vMr8tLZtX4BixbMY+HCtezck0xumft1jRqhTmenNCeJfavmqc9fxKpNhziZ89thEofNzKmknWxYt9g1fQvmL2H1hj2kqkaE1gnHUpDK7m3bWLz+EOVqSGHqftZt2seOvfEcObCeJQvmM3/Beg4kZlNSeZ4GjBBCnMGp1l3WojQqjD7ozFbMdicWiwWL1cZv58+ftXIU4jLjJP/4QdZPm8uSYw563dufVq0b4WVQr5wR4suKTpJjq0XrLjfy8i2x+LqHx3TqRf2m9TEUplCoNuTSJL44PCPEq7BLxn72FOrxi4rGp+IkG37+gYmTpjB1/m4i73yGu5+8hx51/d1vuPQZ1MakPD+F7T9/zMiXh/HskCG8OHwk46YuYV96ucr4Z25Q9Kh6hLUwmTXTvuOzt0fw0vNDeebpp3nu+X/xwZgZ/JKaR4Urz9pU6D3AovFfMPKloQx9RpV57lVGfz2HTQdyVQOharza/+t0BrVxqyDrxBZ+ePtDxs3fS0KW+Q83ZRV5aWxfNIX3X3ueoc8+zbPPDufNdycwd8VxSqvGiMGgx1yYys5lk3n3xadVuef514h3mbh0LydKVBFnJSXH1vHjN+/y8r+e45lnhvDMs8/x8siP+XHVAdXQcGLN2s+iObMYPWk9WpMifed8Ph31OW++8x6ffPgqzz/7DM8OHcEn388n/liWrCyEEP+W02bDnJ6GKcBAZlIiK+bMYeKUaSxYs43UIic2WYmIy54DU3AEzXvcxMuvjuSZmzvRMNJXZYRzj7arbb2XHp3hnKSgM2Isq8SSX0iKyiJSpS4OzwjxTtWsKy4i324n8cBm5nz/KW+89hpvvPEGb2nB7rPl/HK0UEul7jdc6gyYvPJJP7aPlXOSqN/zZu577G5aRpazfcMypq3dr+ZFVRL37Oj0RlUhKjl5YA1ffzeRfeWxtLp+MI8OeYi+1zQjb+tcvlmyg4xCM5Snsn3FTNUYmI+5UT8G3PcAN3axkZM8n1kL11Jk1alxVQVuLz8jhScPs3bqJOIddbjjvh5c2TYaY9XHns1RzLG9a5kxbSb7g3rTd9CDDOobS1nGCiZ89wNHXTva1Th1Fo7H72fX4SICuz3IXbf0wqd4NzPX72T18TIoPMa6bz5n+sJKajXty8NPPcfDd/WhQ/VCVs7dSHphGTb1q7RZLFSarWpana7LidoyN6nAnsFJv24MuHsQfRoXsHn7CnYkHOcvnEMrhLgMOGx2itKSKUw/wM8zvuft11/j9ZFv8vb7oxj96Qz2phRJFwBxmdMTVqchXe7oQ+8ODQny9z5vFvDxjyDYprbFR/ew+sRvG9+8ozs5umMfqZlWClXEkBB/cXhIiFcPFeSs1nL2xO/ieJGFet360qdnDxoHWVn78ySmLlrDgfKq4pc+FaQdRRj8A4htN5j7Hn6MIc88y8P33EAtHwsHNu4kV301DlVOi9sqw1NuziJxdzy78iLpcqsK8M8MUe8ZymMP3UXPVkHsW7yFxNx8CrJTOHA4leNB7bj/4ScZMuQZnnzqEe687RpaN4jA6O59ojP5Upmxm31r57Im3krnQYO44coGxAZWvf475hxOpCWRUBDC4Psf5+mntfE+zgP39uGaTrXxc4/XaVUtcfyIanwl9zw+hKeG3E/PBuGUpJ3kyIkMHN4BBMZ1of89j3Pfg49yW+8bad+gFl5G1Xo/mkJepQWbweA6oVd7aMtKp3U9KvenVsMu9H3wcfW5T/DE4z0ILS8gJyNHNUyqPlsIIc7HZjWTfOgX0vOyMdaqTdte19Hnmg7U059iztRxLNiawEmP2X4I8XfQYfT2JTAsmEDfqn7w57t/Qkh0PeIi9OQfXM2Y0Z8ydtJEJk39ms+/msW6nSco0xlUdhEXi2eEeDebw4FXWAxte9zKY8+PYMRLw3n20YE08z/K0e1r2b7XU64X78RmMRIR25iedw3gqpYtqBvbhGtvuJFOjWIgPZH9Zp2rb7rrCjVaH/OCXJKSczC1uJWbbrqWa1s3oFZMPdp3uJIbbuiCT1ICSdn5HMnIJq/ci7AuAxjQsy1N6zeiXfc7uWPAvdzeszUB7pO3vCgjYeMS5s1cwP7KCLpe04WYIO3yDBZy04+xef1qVqxYwfLly9hw4BTHklMpLa/AGdOJh/p0oE2TBjRpfwMD7n6QR++7kZo+2ljVfNn1RNZuQMerunFNm3o0bteOq5rXJsJeSUlOMTq/aNr0uY7msQbyUw+xbf0a1m3YwvbEU5SazVjUSuPsFYCrBYfZpwkt2l3NrV0b0aBhSzrccBONQ3zRW8ops/9+RSOEEKfpjN4E1u9Mz+v7MOjBB3hq2DC1/XiBx+/qRY3SPezdtodj6Vp/PyFE1Xb3/NtVY3gduna7ilbRJnbNHssHb7/DqI9+ZHeaDlNYDUL9tRs/uQuLv51nhHitX4nRiMnoS9cet3DHzf25ol4d4po249o77+Xha8KILkni+MH0Pz4p9JKi3eEslODQWjSpXXWZSY13RG1qxUYSaCzieLYqpdKsNus61xVhyiissFDjiquoXy3Y/Q7F4E+d+o2p7ldAXkE56dnlOI1e1KzXjEi/02WCCYuoSUy1UEwGp2vPtrE8lePJp9h1vIyK0lwK8kuxaunZXsSBjfN5/cUnefiRR3jkwfsZ+s1S1san4+W0ExBVh9jg01PsQ0h4TerUqkmAV1Wltxl8iIqJoV6d6lVFMFG9uh9BKuQ7XB1PLTjy9jLjq7dVxf+A8T/NZfOBZIpKfdWM/taF6CzaXRarxRIRVY1o1wA7uqCGVAv1wtvLrqZb1hhCiD/mFRBGl4e+4P3XX+OhPj1oUauW2n504Oo77uaB9l7o0k5w8mSeu7QQ4g/pgunY504eeuh+ejSLxd/bh/CwhvQdNJDevTsR5W09f5dc8bfwjBBvMEC1KBqoH0uD8AhCzsiwEEL9+r5UC3NgUynUc+KcWvTOqsT66zSrP7Q977rTZ4OfMTOuGxqrtxi1C7aec4hLp15wnWTiek/Va9qJsPbzhVvXICfmUj2t+w9k0JN3UfdIPAvW7qCgVDWBDHpsFrPrMo5FhUUUapexLDNjUQFcm1qVs/m3O7616derhsmvJ+Zq86P+1hsweZvJydzDV898zs6sAiK79ua+YZ/yyQff8tajtxOtXTdfTfN5R6/Nt/rvV2rZadPiergHCSHE+WjrVZNfGKGBQfhol8B1M/jE0KShgQBfO3a1jvt3qzYhRBWndyRtb7mXcYuXsHPnDpYvn8T9fesSHGjB5hVKTbVRlu3yxXFmLLp06VS7LromMQ4HOanppOec2Qm6jPRkM/m52g2M3IMuedoNkXIpK88gtei3H7ul5CQZ6bkqQPtTt1ZV28XpUA81Y77+/gSbvDm2djNpJb9d09FureBkaiI5udredl9iYwK0k8w5npri6lN/msNhx2qz49BCvhqpLTiaWjGduf263tx+fwOWrttMfoGaGMLpesdTzF/zCwcO7OdgwlE2fvYQd3aLo1zvQ2lm1q/Xc9doZ65bLVbVYDi7E8zvqHkwlhaTn3ScFaUV3PzOEr5470OG39+dzp1rEBmhbWjdZYUQ4oKpoCBjJcPaXckrYxZzMKvCPVytv2zZJCXaISCMgBB/CR5C/D/Mmbv4+LlXeGHkdyT6+ODr64uXl4GSfetIPZVKWVRD6qrI5jFxzMN5yHI2qSltRpfufqQdWMS8uQs5nJNHdsoRtk14n6+XpXI8sC51m8Xi7X7HpU2nfvSVpJ/YwYzxM9h3IouC4jTW/zyHNftOYG3Ugo4qgms91LVjC3aHkYDQatSrHwpHJjB1xmo2Hj5FUVkWRw9tYfZPiznVoAn1wyNootJwmGogFK/6jKlbE0jLKSDjwDomfvEJL781juO5lVXddAwm9DovImvWp0W3q6iVtIAf12dxROV4H/9gaqhGU2xsLLG1alEjxIuIiBoEGZ04kxby2cp4jmXkkpscz8wvPub5x4czb1++mlonhn+XxLXwr0J/hQr9B9PUPJeV4yhKJWHrEiZOX0C22YZVe/9/syWVXWdCiH/LF6Mxipjo46z5eQbLN+4krbCQU4e2sfyrD/hqjxPv2g2oWzPcXV4I8Ue8TCplVSayfv0y3p8eT3JONqn71vLV1wvZc6Scxk0beUgO+2fwoMZSIJ3u6kfd6hXs+Xks72uXmHzrXT76dg77SxvSpHN3OrWt4S57iXPasTlCcFRYKTg6nc8/fofXXn2NLyavJd+7Gt16d1Jzq5K2doMSq3pY7Ph6V6dh2/Z0VvO/c/6PjOup7BQAAI61SURBVH7nDV4ZMZIPP5nMugQL7a/rTN2wUIKi4mjdqgmNLYlM+Pw93nz9NV5771OmLNxIWr4FnVE1kXVObFYLFnM5ev8wajbpTM9aVubPWcyaXWnnv9mTTzXq12tMqxp25o39iHdGqvFq15afvpR9ScXofLRqq8Nus2I7vcffzWm3uvbWmw0+BEbF0iWmGicWjWb0W8N54ZWRjP5xNtuP5lORm0l2pc11oqp2XWeLGo/GYVd/W9UyO7Mfjxq/TZWxqxbJ/3MMQAhxmfMNqkOvx+4kqiKRxd9/rta3rzLy3VF8NX0jmTE30qFjKxpEaZ0QhRAurm2s2nafdUM0tZUPi6bdFU2pY8pl7Vfv8dYbI3njg4+ZtS+XwDotubptI3dJcTF41BGPmh3u49ZbrqeRdx7b58xi7pLV7LPE0uOOB7jnpu608JB7PemMXgSGqEDcqgvdO4UTv3Exs6Yt5LitGl1692Fw96YquTox+ARRvXoYwX5G9UV5E920O/cOGkyToFwObF7ItMkLWbcjlxodbuOx3u2oEayCtG8s7Xv2Y1C/PjgOrWHp3OnM3nQMQ81W3HnnzdQM9cag9yY0IoLgQD9MKtSHRTemx/U98M/aTuqJI2Se7+xgfSD1WnbjlttuJzpzK2sWzmL6su2UhTei30OP0L1BkCpkwD+0GmHhofhpt3lz0eEdFEFUZAjBoSGE1WrGwJtvpJXzCPtWzmPygjXEFxppc20fWkfpqbQ4MONHaHgYNSIC1Rh1eAWEEl09lLCAM9r3OhNhkZEEBwVgkmPgQoh/w+jjR6MeT3Bbj5Y4MvazaMZPLFh/gLSgDgx65El6tY8jRNYjQvxG5YSwyBpUjwhBRZDf6EJpc1UfBvS8ghaWXSyZM5dFOxIJ63Q1Nw7oQ4cGYe6C4mIwjFS0P7TLCfbq1Yv8/HyCg4MxantsLzmB1IqpTf069YiLa0TrrlfRXQXWhx67nra1Q/+rXhgX06FDhzh+/Dh9+/atGuB0YNf5ENeqNVffdCv1w6vTrGVbblABuU/vbjQM90M7xcrpcGDwr06TJnWJjQrB6BtGozbNqBVbk7hGzWnd7ip6XHczt915O92aROLrpY1cj29YFM1bNiYiIoymrTtyxTU3cfMtfbm+Sxw+Oq1JrT7f6UPtevXV8ozC1+hNSIgf/r56YtVyjYmqSajrkpFnM/mHqPfUIzoyiAYtOtL2yl70u+N2brupHWEGbbxO7DaIqN2QuvXqEhmgdQjS9qo78a5Wl8YN69M0NppaLRoSHhZKw+btaNftWnr37cMt1/ekYUwADZq1prqfN34+AUTF1qFFo2hMdgdeobG0aFaHuKgg9/esPsvuRe2GjYiNqY7fuXePE+IiSU5OZtasWQwdOhRvbzmQfGnSYzCGU6dBLarXqU+jpq258qrr6Hn9bTwyuD3RPrIX/lJmNps5cOCAq361aNHCPVT8fbTtqRMbXtRq0IKm9WsT8Wsm0OEbUZPaTetRNyaGuk3b0bHHNdx6x0Cubd+cSFkF/q2ysrKYPXs2Tz/9tCu365zuq/kPGzaMUaNGkZiY6OoL7eNznhR3KVCTq52kqXWj0CZcpzOolbOBXy+GcgnSFri2sMeNG1c1QAvxrunXoTfocdi0w1VO9Ho1H9oVWtz9yrWTRl3919XMVd34yDVUvdeuloF6v3aFFlVW77o50jkLQDt51TVe9bdOu1qMHuOvV2XQwra9arga5qqu6rNsarza8tTG94fLU02n3W7Vrvronn712e5xaLR50YbrzhiHUyV7u3YlHvV5RtdVdLRxqGnTrkSjpt81D2r6nNrnG4zqfdp3rB5q2o3qu9X60dvU52llfpvP38+DEP8La9eupX///iQlJREY+Ed3SxOXAqdr3autP10rRrX6MLiu+CXrj0tbUVER06dPJygoiMGDB7uHir+Vezutksl5M4FWl7S7qbuugvdrDpG69HeLj49n4MCBJCQkuHK7R3WncXH9WIyYvLzwUg+T6d8EzkuVCp4Go9EVULXAbjSZXPNy+vlpVRuYqorxGxXotfk3afNvUv8afx/gNVpgdpVRD1XmtwCvUeNQn39m+NY+Sxtn1TS4B56Pmj6DUS131/I3ucZ7ZnG9Nt5zxqEFc228rgDvGqCNQ027a9rUv9p7tEaG+lubF+069ga1QjCp92jvcE2bazmc+Um/nwchhPh3XPfIUOse13pRW39KgBfi/Nzb6T/KBK7t9Om6pLbdRgnw/xOeF+KFEEIIIYS4zEmIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw0iIF0IIIYQQwsNIiBdCCCGEEMLDSIgXQgghhBDCw5w3xOt0Ovdf4kKQ5SnEP9fp+q3Xyz4RIf4OWh07/RDicnZuHTjvVsfpdLr/EheCtjxlmQrxz3S6bjscDte/QogL6/Q2VLaj4nJ3bh3QqQGuIcOGDWPUqFHs2bOHzMxMKisrZc/SBeDr68vq1atdy/XZZ5/FbrfLikiIfwg/Pz+2b9/ORx99xLhx4wgMDMRms7lfFUJcCOXl5WzYsMFV33r27InFYnG/IsTlw8fHh4SEBFdWT09Pd+X234X4LVu2sHXrVnJycjAaja43ij/P29ub+Ph4jh8/zs033+zaWychXoh/Bq1+Hz16lDlz5vD000+7Gu1aQ10I8ded7jqg7VQ8ePCgq761bt0aq9XqGi7E5cTLy8sV3ufOnUtubu75Q7y2xzgvLw+z2Sz9zy4Abc/BypUr2bVrF88//7zsiRfiH0Sr39u2beO9997jxx9/JCgoSAKGEBeQlkPKyspYt26dq7717t3blU+EuNxoO4kOHTrEBx98QFpa2vlD/LFjx6hfv77rDeLCWLhwIUuWLOGbb75xDxFC/FNoRy9vueUWTp06JUcvhfgbaN1npkyZ4mok33HHHe6hQlx+jhw5wm233eY6MqXl9t91etcyvXboSlw42l4DOcQuxD+TVr+19WZFRYV7iBDiQtLqlhbkpS+8uNxp+fzMiyjImatCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYCfFCCCGEEEJ4GAnxQgghhBBCeBgJ8UIIIYQQQngYDwrxdipLiikuLKSwqIiiMx6FalhxSRmVFru77KXNYbdQXl5BWYUFp3uY57tQc2LHXFmmvucC9Z2WUGn7ozH/NtRuNVNRqspa7X9Y1qbGWVZWQYWH/EaEEBeY04G5opSSYm2bcfb2o8Jiw/HPWRkLceE41fbTUklJUbG7zlRlLakulwYPCfEO9chg48QfGP/JaD79/HM+P+Px2aej+G7SQrbuy0Blvkte+amDrFy2ivlr91PpHvb/sqvwWV5e9e//sXcXgFGc+f/H3ytx9xAhhAQI7sXbooW2VKFC3d1pr726G3WghSqU4rS4u7smIRAhJCHunqz9n9ksLaX0/ve7cgdbvq9ejt1nZ2dnnrHPM/vM7PlEbeCYTGra6poe/2U57Ngwm4kfv8tX309ndz6YtcV/KqsqKC1zvGAlP3Una2f/yNYjxTT8YWCNiZztC5j782rWHCyQnY8QFxwbloYqdq6cxXdffcYnn3766/Hjk08+ZmPiCcqd4eAhxP+YpaaEtF0b+HbiRLW9fMrnX85j9c50iurlhNj5wIlCfAGbvv+aSe9/yLhPPlE7XsffZ+OZOHECU2csY/vBPJxhtarJS2bl0tXMX5tIo6PsX7NSeCSd9dNXcKiqjobzKIXW52VyZOVSlq87StVZOMudvf5rZk16l/fen8i3U5aR3qCdmz9FfRWFe7fx3XvLOVJYpQr0FGccYPOCOezOKKHRcqbKMZG19Rfm/bySNQcKHWVCiAuJqbaSbcunqjDyER991HT8+Pjjjxn34Qf2EF8hIV6I0xRxcO0cPnrlTT5SjV175vr4fd4YN4Gf1u2kzDGUOHecJMRrkxnOgLvu44HnnmXsU0/x1NPP8NSTT/LUzf1xayzH5ulOWHwcrk1vOK95NWvHsMuHcM2gDrg5yv41E7mZR1m1ZiXpdSb17PxRcSKR/et/ZENKEbWWM50F/7+oI3nlBvKLvOl++V3c/8AYugSBUed4WTHXFHJ831KmLE4ks7KpCWRprKOmspzaRvOfnGV3IbrPtYy6bhiDO4c6yoQQFwybBVNjCVl50KbPCO5Tx49nnn6Kp9Xf2LHPckmHSPyMjmGFEHbFOxezeN5MDpQ2cPldD/Ok2m7uv7wNbsfXsmjeQpYfdwwozhmnCvH9br2Tu596gscffZTHH3uURx64g0vbR2CIu5QO/QcyuFsQp+S985ZXZGeuvPpybrisK+6Osn/NhQZzHblFOVg8vfBwzOQ5PSHv+HCbqZzygoMUmYx4ejiaUP/HCTt18IqcMnybdefaex7liftH0dbv9yFeRwN1lcdIKW7E5tpUe3q9HoPBiEFvwMXNYC/7PRdaXHwjY26+nBHdmp3ddeScLgQhxL/FZsZsylP7qWb0GTSKx598gscee4xHH32Mx594kv7qOCIhXohTVXNo+Wp2Jlfi1e8Gnnj8Ufv28uTT93F1lzAaMjNYtjPXMaw4V5wkxGtUSPT3JyAoiKDAQPzVY29DNVs3phJ48a0MHjmUGG/HoOc5c20Z2Vk5ZOaWog4tVBUcY19yLrn5OeRnJ7Fr+3Z27kqhqLzpnHtt/lEyUw6QV1lK0sb17M4soaZRC7RWzNVFHE3ay44d29m2/SDpWdoZ8ZPJ0kpNQQZJmYUkHjtB9mE13PYjFJdXkJ6WSX5eFuWlmSTv3cb27fs4klVN3Wn9exor8klJ3M+2rdvYufsgqceLmroAqSRsqa1U40kjOb+GwuOHWLf/OJVal5ozpWRbIzVFWRzdv0tNw3Z27NpN+gk1H2oWtcEt9eWkpWwnWYXz8voaCkoLSS+qw/V347JRmJtNcmYeVt0J9u7dTx4VNFp16PRqQJ2JwuQ9HNqzg13708gtrPv1fdWqjjOO5ZBbVqcO5tUUpOwh5Vg+uTmpHEnaxbYde0k+mk+j6dRUbsNSU8yR/dvUNG9j6/6jJB9J41h6GinZZU2XAKiPNVcWkJeynz1bt6p63MGBA6mUVjZIvhfiPGFTIb6xOptKvR+hIdHEBvji5x9AoDqWBKljiqebC4Yz7beEuGCZ0XlG067/DVx5w220iwwmKMCf8E6DubT3RTR3d+FIZoFjWHHO2ByeeeYZ+79Hjx611dXV2R+fz8x1xbbElRNsl8SNsH2145CtyFF+PpozZ47tvvvuczyz2fK2f2+759YHbFc/+b2t0FZq2zT+AVuLvmNtY19+wvbqYz1t/kZXm7fvpbb3pxywlVtrbJsnPW67Kgybwc3D5uZitPV4ZoZtwzG1jGoybXtmvm0b0SPa5ulutOmNbW3XPPyJbXVavuOT6mz7vnzA1vfBcbautz1ne/ySGJu7zyjbzHVrbHffdLft1Rfus33z5d22vpHYXIwxtsH3zratP1jheK/V1liZa9v24yu2S7vFannU5hvSznbFfeNsm4qqbBY1xNF579juGxBjQ+di8/T2sTH8fduapIKmt5+mIXO7bdG799uGtQywebq42Nz9gm3XPPWFbVVSiXq10VaWvNJ2w6VtbIH+vjY3vcq/zfvYuj+/oOnNDvWFibbZHz1ka+2nt/l6u9uI6mt7Z9YC26pZn9qevayb7YXv59k+uTrO1trHYPOLvco29oM1asyaatu61660DRn+gO3xH/bZSgq328ZfFma75OaXbM8+fpXtsp5+Nlwjbb0ve9W2LanI1mC2v8lmqzphO/TzONvAOL2aZjVN8cNtvYZcabvphuttw15cZGs0abVQYzs8913bCxfH2cJVHbm6utnatL7S9uXsXbb8838zEmfB2rVrbSoI2iorKx0l4nxjqS+zZa180XbFjY/Zvpu70VZWUW0rLi62lZZX2uoaLTaL1TGgOC+Vl5fbvvzyS9tPP/3kKBHnTq1t64TnbTeMvM024NMDjjLxv7J//35bQkKC/bGW253oTPzvVRZksmXuD9T07Udn/yCCHeXOQKd1+3BxwdXFgA49eqMr/kWz+GbyXKaurCIsJoIQ72TGf/MB6/amYnYPJTDED293d0Kim9Ms2J9A6xFWf/sxd977LgdK3Yho3pJWMXVsWT+PL9V48mqaPkvv6o1XwVKy9ixjW24wcZd0Iq6lO81c05n13Wxe/GAzpT6tiIkwsWPGXXwxfSab8tQbTcVkbfqE5976kYwiK3Gt2xDuU0Pyhu+59h/zSC6qwjMglADVMvf3MuDlH0JEqC8ermfozlK5mU9ef52n35nDYVsQUbGxNA/1ZOM33/Dt7EXsMYGbqyehzSII9DTi5e1DQEgYkUGejhE00RndUY0FgvxVuc6XgPAw/H29cDHqqSnOYePU8Xyb6ooutAVelZuYPfdT7p9TgFXlbxcXV1XfRlwMqr71RlXnLqSt/ZofFyRyrKoZLZvpyD48lUe/WU1OqXbPoALWzZrM44+/T7JZ1XmL1sTbjpK1dwOr92aBu6uqXB0V+xYwYfYKfkytxS8hgRYtYrA07GTChM+ZvnA7jsUghDiHbGYLdTnHwVLMkm++4KZLB9Cua0+uvPsfzNiYTaFsqEL8e6pOsC8rl0KVW3olxDgKxbnipCG+jJLcfazY2MDAgf2IDAlwlDuL07631emw1pgI7zOaez6czqyfJjLuvnaYy4rIyaml9ZAxXHvfWPondOCRST/w9t0DCCg4wJpdByhu2ZvHPvmGmfMXsnjxj7x2Q3uMOfuZtLnI3p1DbzRgTj9OeEQX7vp8CrM+uYfWfu7oautobNaD7ve9yw9zZjDlg3uI94FstXEWlddTX5jJ6rlzaGjdh0c//pK5y5eycNY3vHvvQPw3fcDSbcexdbuLm28Zzb39g+l37bP88NxIOrU4fVnYyN64ku2Hj+PWZQTPfjSVGXNmM+P7T7h3eBCHNm9h4rRkPOK68ezbb3NX9xAGDrqaJ55+jo/v6uMYRxPXgDh6DhjGvdf2xs1jGC++8g9GD++Nn76Bmuo6cuujuOWfXzFl2lSev+sq/K217Ek6Zr8QWKfXq2rWutw0jcte556RDLz7BT6dNp/vP3uDq7p4k56eRbWpgdqje9m4dQfpnjGMee0z1diYy/SJb3D7kG74YbHfL0mnayQ3LZW0vEBaXvIwn0ybwawZs/nxswfp3s6PupoKGpp6RAkhziGLuZHstCQyknZy8EQG5apBH6b2g5XJ63jr8aeZsymRArljnhD/H3XsXTqL9YcbaZbQlwcG+znKxbninCG+MoOilF0csTWnW/s4/Hz+vctDz0/2nio0GjtxyeAR3DSyK517XcqgUVfT2mijvroBl5BoouLaEOLrR6vuF9Ex1IMirS96gQ6PhD50igjE280VV88gWoQH4mKtYeX2ZBq1Tts6C+bG5kS3HMCI4e1pHx+Bt0FHozmQrhf155YxI+nVoTt9r7qSQZHB+NXWUlueRXHeYdVIKicoOoHokBB8XFxw8wshPDaOrqSReDiDUqOemNjmtAxxIzgqgYsSIvFSZb9XQeLOI5S4tafLFbdw87V96NapM936XcHN1/Ulsq6YpFV7KMCD5rGdaBngRmhoJK3btCUuyMsxjt8EhoTTMioQvSGcdu3bEowXBpsFFw9fWl90KVdddjG9evdlYJ8udAjwoCY7lxpVD6feN8dms6oArie8xQCGDR3GiO5tGNC/HwN6dMKztJSaxlrS0o5yvNaD8GH38dB1I7ikS0d6DruBkVcOpW+HMGyOO/HoDS4YGqsozT3B0fR86urBK6Q3115zDYP7tFP1YR9MCHEO2XQGLJ4htO7cjSvvuItn3niT915/QW3bvbBlrWPz1n2k5zY4hhZCnM5WW8DRbTP5Ye4WGvxaMWTwAOLl+HbOOWWIr85IJ2PvUXRtehIX5Y+ns69IKmSa/duR0CKCWHuBHtfYXsSoDKvHRG1DPSb1Z7ZYaKitwUwlhSW1VJXXUpOTwuJJn/L+m2/w2hsfM2P5DpLS8sjZl0ipahxYtc4k/q3xD48jwv5ZVixWKybXIBJaRtKzuYv9E/GIoWO4K8EGM6baEmqrC0g/YaA4ZT8Lvp3Ie6+8yhsffM53CzdTVK8jJyObkmLVyFDT1Ghu+kW3mvrT73qvgq6pgqycCoyR3Wnbrdcp3Z7caNupE20C9Zjz0siyXwVaa7/Pu8lsor7+5EWpv2dWrzWYLGo+zNRriVmx2Ax4+gbRuXsHonyaTqf5+nsRrRoEVNbYf1DLqtP99v2H1rZRz4NUw6N5YNPV0CYMhEW1wM+k6trUSF5xMRbvZnQYcDWtfB11hAvNW7emXaswjCrE29Tnhse1p1P7AKyF25j66fu88947fDBpE7ml4O3jpZ3wF0KcY0Y3H1oNvof7H3yUh++5k9GXXcbl193KLXfexjVdoSpD7YNyShxDCyFO1VCRw/41P/PJ5F84Yo5kwLBBDO4Z53hVnEtOGOItHEtLZ29yFS27DyImyJO/RWMw0BODweBYIOr/Le64eusw/Dpzv6VBm9aT3sUVj4YiqlM2Mn/JUpYtX86yJYtZsyOR3PxaIkwNlKqwatZ+S9zPHYO3q4qgv7F5uKjP06sw6ihQr3oG6HDx0B4bmm7XqOJv1qEtrFu1nMXLlrFs8VJWrtpKur4Z7mYrBouJxlN6qJyRGq7BZsHdzxMv79/3cXdz98DVQ4dNpzVSHIX/rlM+1KbTo3d1w+eU8Rtdjbh6GlRVOsL7H35NVpV7u6HX7mqjPVPza1B1anDX+sxrDQkzbq4GQnxP+zbApupeb1Q1pD024NeuP1ffcQOjr+pMkPkEu3duYNn8aYz/fAIzl24is+z0ho0Q4n/LpvaXqpHe7kqG9b+YeNXAb6LDt2U3Brd2x9dURW1Nvda+F0KcwlSbT/K2pUydMpMFB/wYOOYObry6LzG+TnkO+G/H+ZaCLY/UYznsq/KgS/+u+Kjg+7dg1bpnnHIIUaHz97nz94cXq6kOt+bd6H3Pe0wcP57xX3zBF+rv88/V37iXeOnRwYRpAdY+Hsef47129uenlmnD/PpQ/U8Feu9ArrjvJd7+6Au+nDDePv4vvvicj8d9yJO3D6RtpCu2Rssp4zidCshubgR5elKVdYKcY9mO8iaFebmUllhxcQnB39Ej6s/HdZrfDahNsA3rKfPYNM+OJ3/mlOFPjsP+j2oU+Hp7U1tdy6EjqY7XmzTU11JVU43W5tA+A5dAuvcbwQOPPs9rb4/j87ff4r3nrqa56Sj7t21lf3Zl0xuFEOdII9VlB/jhmX8wZcEOjpX9dsbAYqqlssaKwdcHdy/3pga/EMLBRvrWhcz6dgpbGxJ4+/VnuHPERUT7OMPPal4YnC/ElxdTUNJApTGMhJZeGC6IxqB2aGnEYq2kvMYDI35EN/PHo66S4rRS/DpcwRWjRjFK/XUN15OespO5GdX4q3dpZ99/C6r/BtWYsLipcQdGkuBXRWmBkYguA7niuuvV+EfQN8GVAz/PZEt6Idpt7N11VsyWBupN9bgbTz3Xr1HTrQ8moX0IroWr2LtuAbsKHS+Rx4Z1m9lZY8CjS1faOEr/vxOrhWyrCSu5mMxNDTj9WV4HrAZXwiOjCarN4Miij/kppQj7L7LXZrJz3XrWbMlEZ9Sjt9VzaPFkXhw/nzmHfek78CpG33kn9952HQOivDFUl1NcLVe2CnFuudm/2azNnsmM6TPZofZddnX5JM2awLc7yrCExhAR7kz3OBPiv6/q0FQWz5/JAXNLHn/xTW4f2YVwbwnw5xOni8DmyhLKS23odJFER539APe/8cekqpWcKb9qZ3v1GHD3MGKqzWLGS4/x9oID6Nv0VIHal4JlX/HBq08z9kn1N/ZJnn/tc5ZuS8M3Jkq9S4Vo+9nlM4z5DB/YNKgFs82b4OYdGXVbbzI3TePzV8by1NjneObJZ3j+1c/5ccEhrN6+eHqDp4cX7pjYvvQbHvlyFakFp9+rzZVOgwcQ591I0tyveOmJB3nsicd59IEneO/rNdjCmzPkqj5N3VMU+7nxM02vg4vRDR9PL+pq9/HZp+NZkZxEtUm784x68fT50f47pcz+0PF/J//7leOhVt9mi56WXbrRrU0ktp1L+Pj5p3nosSd5+KGn+GL6Ug4X1qLXWo86F7wNVaRvmM6Xbz3OI089y9PPjGXs6xOYk1yBISiChDCfphELIc4Zd+8w+o4ZTv3BVUz655M8+NTTPPrwE7w0fiZr6obQ7aKudIyRcCLEb8rZvGwLq9cmcjDpEPO/fltlgCd58oknePyxh3n00dd595O1aD/3dOqNI8T/ltNF4MqyIkrqrNh8I4gwOuEMKDarBZPJhMmsdUWxYdUu1mw0Y/n1l1btpZgaGzFrwxhdCYoMoXmMO7t//paZC3dR4NWekTddz62DQzi6/ke++uJTPvroMzam19Ci60BG94yyn7+3OMbdaNbult5EuzuLdvGmyWJB6zLfxIbF1GAvb2gEN984+t/0AJd3c+PwhnlM+OhDPp04heX7y+h0/b0M7NKSEPUur+iWNO/ZheqUFcz8aS3JueVNozuFS5shjLnlRoa282Tfsu8Z//l4vvxhO/WBF3PTVVdyQ8/fblNl0abLdGpd/J7BL4iIrl1p45/J1vnz2LAzmaJ6E1b1PrPjjjEarY7NjU0XwTbVcSON6rnJfkGqFUtjg3qu5t9RAdowFovZXlfaeIyqfodedQP3XNWT4vXT+H78Z3ypGk/ZhmDi2sdi1OpTZyS62wCG92hGYMEWfhg/jk8+/5yP5q+lscMlDLp8ON2jnORnhIX4G3PxCKDLFQ9z/SWx5B9YzaRPP2HijyvYXhbHTY8/xuV92xDklCeEhPhvUMfFqix2JGaxP6OE3PRE5k8Zz+fq+Pa51q12/JdMmDCF6XP2UtY0tDhHDK8p2oOVK1cybNgwSktL8fPzw2g8Py8XrS3JIafaiGfLDlzVN177ovS8l5ycTHp6OiNHjrQ/N1UXkVeuIyAyln49WtBYoOapsRl9erWlbZTWCUaFTkstx1MLaNGlJ/FxUQR62TC4mKlq8Ca+TS+6d+tKh06d6Ne9BQ0NJjwDI4lpGc+Im+/m9ttvoV+kdlbJSnVhFidMwcS3a8uADmH2M9Y2Sw3Hj5cSHtuKtu1b42M/eJkoPpqMObwz8R07kxDhi3twG7q0CqDeZsTdO4A2Hbtx8ZU38szLj9EnysN+9lzv5YVLiA81+dX4hnZi4KBOtAj2Pq1vqS8tOrejbWwwJpWz/cNiadVuOHc+9AS3XNGD5vacq+0GTBQdTUHXrJN9GuLDfn8hrJ3BHY9wH3RF2eh84+navxeRfq4YGqyEdRtIh+YBuGq30KwspLhSBe2Qdoy8JAZT7jHKjM2J79SBLtGulGUex9SiP726xNLM1w2buZ6qyjLy6/y49JJOhPl64qeWT5cOzakrL8Q3XDVW+l7Hxb1a0TLck3J9S264OB4X3yhat2xGmIcntgYXIlU9N+/Th/sefoxRA7sReHoPI/G3k5mZyZw5c3jyySdxc3OGPdIFSGdQQV7bVv1pNLigdw8koUM/+l9+L+++OJyWXmpD1XZBv99xifNEQ0MDiYmJ9u2rY8eOjlLxX1VbRlJWAQ0u3sTGxhMXH0/8r38tiG3ZiS7dejH4snbqCC+bzv9KQUEBc+fO5dFHH7Xndp3NfnUejB07lnHjxpGamkp0dDTu7s587/Xzi1bhWmVPnjzZUSLOdw0VheQWllONF63jI3Fz7KEOL/+aaYs3kd78Tn585lL7L8CKC9u6desYPXo0x44dw8dHuk8JcbZVVFQwY8YMfH19GTNmjKNUiAvPgQMHuOmmmzh8+LA9t0sCEeIMig6tZvJ7L3LLY68xc8k2Nm7Zzt5V05k2ZylbU6vpc1EcerkJvBBCCCHOEQnxQpxBQHQMbeIDcTuxkQ+fvpeH7ruHW8a+wc9ptbToPZQhCSES4oUQQghxzkiIF+IMvCLbcfGIa7h79HDaNQ8nslk4IS3bcvHlVzH62stpHeIhv8YqhBBCiHNGQrwQZ2IMILbDxdxw50M8888X+eeLL/Lyc8/x+K3XM7BLDC4GSfBCCCGEOHckxAvxJ3RGL4KaJ9Br0CAuVX9D+/ShfWQ4Ho7XhRBCCCHOFQnxQgghhBBCOBkJ8UIIIYQQQjgZCfFCCCGEEEI4GQnxQgghhBBCOBkJ8UIIIYQQQjgZCfFCCCGEEEI4GQnxQgghhBBCOBkJ8UIIIYQQQjgZCfFCCCGEEEI4GQnxQgghhBBCOJkzhni9XrL92aTVp06nczwTQvydnNxfGgwG+79CiLNL28ZO/glxITs9T55xi7DZbI5H4myROhXi7022cSH+e7TtS7YxIX5/rNGpJ/ZnY8eOZdy4caxcudL+b0pKCu7u7vaBxH9OazVVVlZSW1tLWFiY7ISE+BvRtu+amhpyc3OJjY21n42XbVyIs0vbprTjqLa9+fn5YbVaHa8IceHQ1v+6ujry8/NpaGiw5/Y/hPjdu3dz7Ngxqqur7W8Qf42HhwebNm3i0KFD3HfffVgsFjnIC/E3oW3f+/btY/z48fb9p7e3N2az2fGqEOKv0roOaCfBtm/fbt/eLr74YhobGx2vCnHh0E6sp6amMnHiRPuJozOG+PT0dOLi4uxvEGfH8uXLWbx4sf1AL4T4e9FOfIwYMYKioiJHiRDibJs6dar9LPzVV1/tKBHiwqOdZB85ciSJiYn23P6HU+3a11T19fWOZ+Js0L7VkDMHQvw9VVVV2b9d0/4VQpx9FRUV9rPxWtc1IS5kWrcyrUfHSdJfRgghhBBCCCcjIV4IIYQQQggnIyFeCCGEEEIIJyMhXgghhBBCCCcjIV4IIYQQQggnIyFeCCGEEEIIJyMhXgghhBBCCCcjIV4IIYQQQggnIyFeCCGEEEIIJyMhXgghhBBCCCcjIV4IIYQQQggnIyFeCCGEEEIIJyMhXgghhBBCCCcjIV4IIYQQQggnIyFeCCGEEEIIJyMhXgghhBBCCCfjdCHeVFtOYeZRkvbsZu/eAxxOzaa0pgGL43VnYKmvIDsjk9SMPOocZf8xmw1rYyNWi6oBm6PIbMZSW3fyqRBCiN+xUl9VQsbRJDLLLDQ40wFEiP8hm9VETXkBGcmHVObaw/6DR8gqKKPObHUMIc4lJwvxDWTtWcK3Lz7IzZdeyqChV3L7I28wdfsRTjQ4BnECDTnb+PKVd3nulSlkqOd/JWybVFgvSUmlqLgCk1VtVDYTFVk5ZGxJpFoL+I7hhBBCODSWc3TzXJ59YAzvrK0ip8ZRLoT4nfqKdLYv+oKxt4xi6OBBjLjqXl6bvJA9ueWOIcS55FQh3lK4m1kzf2b+vgK8OvelV5dW6DLW88FHc5i/Id0xlBOwWTGbzDSaLH85ZJfn57Jw4lcsO5JLmUUtzvLjbF+wiLfeWUaa1eZU31AIIcT/QnHmfjYumsbOxDzqTVZ0OscLQohTNLJv1Tx++P4HjuhC6dazDwlhVaxfOpsps1dTLmcJzzmnCvFlB9dwOLcB/4tu4InX3uXNV1/gsZE90SWuZce2XWQ4y9l4dcTQG/QY9Hr7Avgrxw+LzcIxdUAqtepwcVUF1goKizLZl1OBTX2GsWmws0K65wghnJ7tBEd2bmDVusNY3T3Q6yXBC3FGmavYuWkrByrjuOqBZ3ntjbd4dezd9A+q4PD2TczYL6ngXHOqEF+SnozOJ5xulwzn2iHduejiodx8w1BiXHPIyTxKRpFjQKeggrzehhkLGUn72LV9G4nJGZSW1zted7BWUZh7mD17t7J9+071l0h2URUm9ZKltoRj+7eQVl5ExsFd7EjK4lDiEY7nZlBpyWPfrv1klddg1rYzm5nq4iz271XDbd/BvkPpFJbX2j+iiYni1H1kZqRzNOMYifv2smdnOkcSD3LwWD6FVSZHY0MbWRXpySlk5xRRbx+5EEI4AwvHNi5k254UKgO70jzSD4MK8bIXE+KPCpM2k5FThVfrKxg9eiT9evfg0muv5+qLWuJRlcfiHenSZfccc6oQbzUY8XB3x8fN4DjDbMUY5IHeTYVhs0n92Qudgk7vgrmujMzDi/n20w948/XX+OTzb1mx8SBFJ7O11UTekU38Mms87737Cq+//iZvvPEZPy3eREZFOdmJG9k8YwK7s8tYN20y42fN5+sFmzi4fzcVlfv47tNJbD6YTW2jmZqcJNbMm8qH772txvEm7380iZlr9nK0+mSHmzqSfvmSX2ZM5eupU/li3Md8/OVqVv3yE18v3sGuY5WO4VTzofEQc6bNZONOdSA0yVksIYQzUFG94CCz5m/kUGUAF193I7FB7mgn4m2S4oU4jWrwpuZSaQ4krvNFtA10HOuNkbTv0JYW3jpyDyRxMhmIc8OpQnx4+85YKko4tHM/u7MaqC89wfq1mymtDiI6qiVR4Y4BnYCLqwslx5NY/s1bzF6xjq07drBo7jS+nT6Hpfuy1BA2GnMP8OM3U/j6m19Yt2EPO3dsZcf2xXz39des3Z5EVtYJCo4eoKCqnpyUQ+w/kkZi2gmKigpoaCwkac9BckvrsVYeZNfKH/jwg69ZtWEL23dsY/3SaXzy7Sy+XX64aYJUOC9M2saaRbP4ed481m7dx4GSWmx1uWzZfZjkTMfXHKYGOLBCNQ6SyKkyYdS68AghxHmvnuS1S1hbFIF/tyu5pX8ErnLVkBB/opKinFqqrIH4NI/Cw1GqCQr3JczVhCkthzL1XM7GnztOFeL9u4xhWM9IGvZ9zUOjh3L5NWN4Ytwmmo16iVE330gHd8eA5z0jRpc0crJS2XdgAC99/xPLN87l5THdqD6+j9nr9qlhzKTvXcXSX4qJ6fQYPyzeoRosS9gw6zF61OSRtu0wrl2u5ZZ3vuOq9lHc/vZ4vn31Wb54VtXRsJGEh4zg45++5OYRXajbPZe1K+ZS0rIXL0+dw+IVy5j96VNcxAE2TJ/EmjxtmnT2r5VLK8206Xcdn/04i58+uIHB/doTkJpO/rHj9ha3tb6efavnoHeLJiwyGh+D9l4hhDif2WisqWLBoj207dGBa6/vi7euQbrRCPGnLJjqrVhtBgxuLo6yJkajyjA6K7a6BpVUmjrZinPDqUK8zsOLKlM1aUcPsm/nJtZt2szB9EQKC2rVi2fzEs7/PlO9jWZtO3Pji88ysl8/enQYyLV3jOHS1hHUbd/BYVxo1udmJs6bzBuv30vrADcKjqYyc+kSdpaUUFhvwdU3jGatOhLq7U5Eq7Z0iI8moUUzgoJDcHMNJqFjO6LcTrB04W52FbTm6odf47HLLqVPj4u4eMyTPH51N7obMliwO19NkbYZWggMaE2nLpfSv38HOrUKp12bjvi7JnE8O52jqrltNmeybmYBxqgEIqJD1FQKIcT5zVJfQ8YvL7OlMYD2CZ25JDwQFUHQaf/p9PYuNUKI39O6mdm3ktO3D/XcXqQGkAB/bjlViD+y9BO2JqcTcslo/vHeB7z/7uv8446h2A7PYM2KJSRXOQY871kwmwIIiWjLgIHNCHTXvkIwENW2Ox1bR+PVkMuhavAPCYWyQ6ya/TnvvvUqn3z5DdPnH+R4jQmz0XF3G4NRHYB0GNS/RoMai8GAXpWjDkwGF9WwsRWTV2giIyWXA8um8fYbr/P666/z9vvvM3PVbo6eqCDrSAbaT0NZrFb8Q6NoFt0cXzVFOoMaT4tWdAuB2twT7N1bQmPuEX7JMNOsTVuiQv3tcyOEEOevBqqytzF12gYiug2iS0JrFUDMNJq1GK/+s1rQfmJDCHGqU+K5NHLPW04U4otY980UCqp9ueyeZ3nvH8/y3POv8Parz9LXYz8paxeyYVehY9jznTpw2Dwx6r3wcpTYGTzx8nHHzctKWQnkH97Adx+9x/iJX7Ph0BFq3ILo3W8orTy98VQHHovWClZHH21Ts2k/7KQORNq/WutZK9Re0xoHbp4e1BamsP6nT3jjrbd5++23ef3lN/l6yR6Sy1zwrihDtRnU+MDo5Y6Lx8mO7mrLNUYxrEdbwsyV7F+3XjUGUtnrGkdCQhThAY7BhBDifFWXS2HSCmZsq1b7wWy2r1nIzCnfM2/ZBjLzKkhbP43lKzaTll0iPeSF+JUbnr5GXHX1NFb8/tfQ6msbqLUa0Af62vvKS8Y/d5wkxGs3VMzgaJovzWMGclGbNk3FiiG2L1d1bU5EdQGZRzJwjlvF69Dp62hsrKRMC9uOUltdBRWVtZgsbvh6mNi/dglJNV50uPpO/vnuON4bN54vPn2SAWEBeDaYTrmYRDufpMZ68isu+7OmL4u1M/JYzfgFRdFt4HXcePPN3Kz93XQD1151OZf26ETrYI9fN0KbzaoaAyenSONJz2v60D7KzIn1K1hzIAv3yOtpG+ODZHghxPnOVl1LWU4u1W4NzP/mLf75+L3c/dATvPbx9+xNLWDHN0/z+effsHp/tr1/rxBC40tknB9+xhJKUtMocZRq32zlZhWR1+iCV4d4AlWJE50N/ttxkrrXJtMTP18LxSfSyMg8ubM1UV+YwsHcKkpdffAJ8nWSPtoGjGrDKC46zNbNOVRrbRTlxNG9JB7Jpsolgs5BZkry1Xx2uJJhYx7j3sv60TNWR27KVnLqa6nTG+zBW6eFdVsjdfVmLFqqt3deM6myaurqtLH64OduoWV8W4bd/gofT/qO73+Ywg/ffM4bYx/jthuuYNCV3QlWY9LbT+GfQas+REeCJXM1G3aUEnHNYFr4+f4a/IUQ4nylc/cjqFVvrhp5FaNG38ANN93MLTfdwJWD+xId6kuLfqMYOLA/CdEBEkaEOEVMfAz+ruUcO7iZ/ceq7ScObaXp7D1wmGM1elp0TPh9bwLxP+ck+yztFigR9B7SiqpjW5j15Rd8NW0606ZOYfInnzF1YzG14W1o3znWSWbIhsHFm4r8TDbOfJNvvpvK9NnfMnHCdHZkVRHV7yLaqITs7+tLccoOVv0ynRnzZjL1m695/7VJbMspoUxtTRazFYMRjPpq9i5fxM8bU0kvteHtaaW65hCLZi3iYJ4rFw2+iITgSpZP+oxvps1gxsxZzJz+PZ+9+yHjJ81hj3aPKOVPQ7m+DdERofjrSzmcVceIoQlq2uTekkIIJ+AVTkz/2+zdCN97913eeec9Pnz3dZ554EY6tgyh25jXuPeeMVzcIeKs/sK1EM7Ot9MVtG/bHDIXMPmLiUyZ+hOTJkzgp+1ZGCNaceeAZo4hxbniRCce/Olx7a0M7hNL1eHVfPzm67ytQuikxXvw6XA5w0cMo3vsqXcyPX/ZrI3U1njg7h5MZEQF877/lLdeeYuF+4qI6taPUZd1x6AzkNB9IF09ckhcMIGXXn6dD6f+QpKxI1F+tZiqCygsq8XTx4uo1iEkLv2eiVNWsLvISHRCOIEkM3PCRFbszCGk11WMuGogYXV7+eHTd3nz9Vd5+9Mf2JEHkR0uontzb22qaKzTzt7XY1KNg98zEtU8hug2rahzb8aIdp74SIYXQjgDvREXrwDCw8Ob/sJC8A9rTrNgf/TWBowB0YSEeqrBXOTbRSFOFdiZ3kMvY0QPH1KXTuKDd97k0ykbqArswtARQxmo8r04t5woxBsI6jCUq268iWtHXEzbuFhaxrWmY99h3PngvVw3sDvRThIsjd7htO/eh2uuvZaRw6+ia/tWxLZoRZ/LRnL9dZdzadtwtFtmNu8yiNEjh3BZ707ExsTSuktPLr/1Ye65/Vou7RKLn5pfd79Aeg4fxaA+XUkI9cLbP5TYbv254foR9GwVpYYx4BHZ1T7MLTdfRre28cS1jCUuoSvDRt3MzbdcTa9Q7ZsON6J7jaBX7+7Eh3s2Tegp/PzVQTCuJQEtE+jgq1NDCyGEszLh4htGj/5D6RpqQ85JCHEmOuK6DuT6m27n8v6daaUyQLvuAxl1/ShGXtpNcsB5QGfTbmeijB07lnHjxpGamkp0dDTu9tsenodMtZSWlVFcXqOmXoeLuzdBoeH4uGl3/D0/zZ07l5UrVzJ58mT7c2tjNSXF1TTqXPAP86b8RC61tY24+wcRGBiIl8tvbau68nxKyquobrRhdPfAJzgCt6psGvDA3TcIPw8ddTWlFBSUY9L7EhwagLdrA2X5BZTXG/ALCiHA1xtXvYX66jLyitRwZit6Fzd8A9Vrfp6O6wgsVOYepxovPPwDCfD8/dUF+Zu+Z+biNWzzHcWPz12F6ynTKMSFbN26dYwePZpjx47h4+PjKBXnNyumumqKS0rR+UYT6G1Q+0jHS+K8U1FRwYwZM/D19WXMmDGOUvG/YcPUUEVZQSGV9VZ0Rm8CQwLw8/GQa0jOgQMHDnDTTTdx+PBhe253vmXg4klgaCStW7emdatWxEY3w/c8DvBnonf1JiQinMhmQXjp3YiMjqVVmzZEhwX/LsBrPPzDiWrRigQ1v/HNownzNKjg34KwsDAV4LUenAY8vEJo0bIVrVqEqfDtiovRh9CoeFrHxxIWoAK8dqJdZ8DdJ5jYlqpcG1dsDKG/BniNAd+IlkREaOP4rdSq3aayLJU9m3aQkVlLv94d0RvkS2chhDPT4+LhS7OoFoT7SoAX4s/pcHHzJbR5PPEqO8S1jCBAAvx5Q5aD+FNWcxW7fnyD6y6/ltvGzSdRF0H7FtH2H5cSQgghhBDnjoR48ed0etzd9VRWlRIS34ehl99B31hX+YlyIYQQQohzTEK8+FM6vRsxvUby+Mtv884rzzB6aFc8ZI0RQgghhDjnJJKJP6XTGfFv0ZWrbryL66/sT3wzo/23YIUQQgghxLklIV78n0hPGiGEEEKIc09CvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTuYPIV6n0+Hi4uJ4Js4Go9GIXi/tJSH+jk7uL11dXe3/CiHOLm0b046j2p8QFzJtW9By+kk6m6I9GDt2LOPGjSMlJYXAwED7AcnxkvgLvL29mT59OmvXrmXChAmYTCbHK0IIZ+fj48PSpUu566672L9/PwEBAbKNC3GWVVZWMm/ePPv2duutt1JfX+94RYgLh6enJzt37uSee+7h6NGj9tz+hxC/ceNG5s+fT05OjpxZOgu0MwcZGRnk5eXRp08frFar4xUhhLPTzopo+0ptv3nNNdfg5uYm27gQZ5nWMM7MzLRvb3FxcVgsFscrQlw4tDxZVFTE5s2bqaioOHOI37Nnjz1w1tXVSReQs8DDw8N+Fl47S/foo4/KzkeIvxFt+961axcfffQREydOtJ8pNJvNjleFEGdDbW2tPbho29vgwYNpbGx0vCLEhcPd3d3eW+aTTz6xnzw6Y4g/2Z1GziidHdpB/aeffvq1O412gHdUuRDCyWnb97Jly7jzzjvtDXVt3ykBQ4iz42TfX+2so9adxtfX196dRjvJKMSFxsvLy96d5u677/7z7jSpqam0aNHi14u1xF/3yy+/sHz5ciZNmuQoEUL8XWhdaa677jqys7PtZwqFEGdXTU2N/doyLcTfeOONjlIhLjyJiYnccMMNJCcn23P7GfvLSJePs0urTzn7LsTf08n9pXSjEeK/Q9u2tO1Msom40J2eJ6XTuxBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkL8uWZz/CuEEEIIIcS/yelCvNVcQ15OOrt37WLPngMczi7BYm1Kws6Sh6315WSnHeNoWi61OkfhX2XT5v6UGrBZHA/EBeW8We5Wx79CnJ9MtRVkpiZxrNRCvewuhfgTNhpqyzl++BB7du9m34FU8kurMTteFeeWk4V4CyeObOX78W9z1x13cPe9D/PPz2eyKzXfHl/PVh7+b2vIP8CM8V8zbvwCctTzv9L4sJpM1OcVUF9Vg9XRmGksLaMyJROTCvZ/ZdzCedgsJhqKS6jJKTrn8dlSW0v10eM0msyy/onzk7WGnEPr+PStfzB5Rw0FdY5yIcTvWBoKOLxtHp8+/xT33H0nDz72Ol/P30x6uWw05wOnCvGWum389PGnfP/pDFKPHSP1yD7Wfv0yw1//hR92ljiGOv/ZzLWUFRVTUFhOo6PsP1WefYKf3/mc2fsyKTapxVmVxdZpP/Psg9M5qEK9yTGc+Hur27+cFePH89HXuylXz89ZeG6oIHPLJl69bzIbSqqpchQLcT6pyz/CrtXTWbx8L/mVZuREvBBnlrFlPtM/eIzv1uzgaFo6ibvm8fbEH5g8f7djCHEuOVWI3/n1GyzddRT/y55mwi/b2bF1FTNeGUPQrs9ZsXA+KTWOAZ2A1WrFau8C89e+QahrrCIxfROFJjMYVUFtHpn5SexUDQSLXi8XPVwgynK3ciR9Hal15/YbKZupiuKSo+w8kUWNakrI+ifOR0f3bWLh1J8pbDTbv7lylm9xhfifKt7MyqXLmZXVmhtf+poNW3ay4Mt/MszjIFuXzmHWMcdw4pxxkmOstps9xpYFGXhH9OH6u27hpuGd6dilH5ff9SB3JzRiyDvEzgzn6aWl0+nQqz9NfW0N1VWV1NY1YPlDXwgrZlMd1dWVVFZWUVVVS6P5t4Fqq8ooryunprqCihqLfTxVtWVUWeuoqqiiXmsoOE7L2iyNajhtHFXU1NZjdnS/aWLFVFdNfX099Q0N1FZXq3HVUVtTTU29CZPl98PW19bS0NCoGiKOopNsVhobG2hobLR/bGN9rfq8auoaLL+eHbaY6tW41XTU1Kvxnj7DZhobatR71Hyo91WrYU5+tM1mwaTGW1unfX9hpkFNb5Wqk9o606/DnGS1mqhXrzfVWTW1DU0H69+zqHGoz6qsVPVbo6axkXo1v9qwp1SxYrEvI/s0VddS3/j783ZWs5rf+jrVoLJgtZjUuNRnVqt5M/02UfbP0ZZxfSPm06ZVjcD+eqWajqqqGhpMp364Tc2LmTpV3xabGVNDrVrm2nTUq/XAMYhSWVVCWU0p1apuKxtMv9b1H6h1oLFWq7em+q1Ty/Ykbf1orFfroppGm6OBqbGaG2nQhjU55ls9b1T1dHIc9aq+TjI11qlpKaXSopZ7RQW1WuGvo7Ko+VDvs09/nZrP0+pRTbt9/bPXY6Markot/wbMv1aY7dfloC2j3y9zm1p/a6lRr1Wq99Wq9fuPy1sItS2mLWDv1m0cNsXRIjYUg0HfdEmREOJ3qg6tIS0jH//4Edxy6/X07NqRITfcxLW9EzCU5jJnc55jSHGuGF5TtAcrV65k2LBhlJaW4ufnh9GondY9X2gh4Qiz3lmGZ/crGT56KK39HNPnEYpbymwyKt0xR/bk4tb+TeXnkeTkZNLT0xk5cqT9uak0jY3rUykwGeh4iT/bp81i2ap1JKXlY9Z5ERgSiJtBDagCcXnufjZuWMKCJcvYuHEn27alUK5zxS/Mj4bje9k4/WsW7zxCfkW1fXxZibtJ3LyBgznlNBrNBAZEEh7og60si32bVzN3wRLWb9zC/qRsKnTu+IQG42PUGhN1JC/8nt0pmexKSmHn2rVs36+CZe5OtuRY0Hv4EeHvpoZTy8KSxvxZ6yhtcCEgPBR3bVpPaqxg7+79al6O4u5Xx4rZc1iyfDtp+RbcfXzxoojtq+czZ8Fytu7NoN7Fi6CIEDy0STDXkZ2ylhUrl7B4+Rq2bNnD/sQTWP38CQrwx6WhmMMH9rB87V683LJZvXgRS5dtJelYlVoPgggL8kQdj7HUFZN8YD1Lly5g2YrNqs72kZZbgc43AP8AL1y16bTVk3NwG0sXL2Tp8lXsOphMWk4uKZvXcsTcTA2nhnXXYakvJ2v/VhYuXsLK1apOdh0mu6QRt7AQQjztY6Ly6Fr7BT9bM1VDqHA7M2ctZMuuYzTqvAkM9KA6dx8/z/2Z5SvXknKiHp1XcNO0qvda68rIOLiV5cuWMn/JWnbvTSK7vBHX4GB8vVwxqnBaVXac1bPnUqym5dCWlaxevppN+7IprfcgKtKPqoxdLFu0kGU7jpFbo6fSI4Be8RG4uZy6YGzYzOVkbFmh6m0ZS1etZ+uuvaRnlOMZHIavvwe6sjSS9m5myf4K2sVF4GrU3l+r5n8TK+espCSkLRE+lRzbtpJVC5ewZM0GVR+7yclvwCsghCA/N04c3caiaTPYlppHlbkag5uaVzUv3tYyUndvYsGixaxau44du4+QW2XFU9VjoHvTtlyWvIQd+5LZna0akSe28pOqx537crC5+RPoZ6A0czfz5vzMitXrSSu0YPQJJDRATbfVol7byYYFalmuWM36rbtIOZqNxT1Urf9qeRv+u+dZMzMzmTNnDk8++SRubto2Is5b1dn8/MMkth1T+8aOg/FpPI5nt1vp39KdQFl0562GhgYSExPt21fHjh0dpeK/LXnFD2w6bMKv+2geuDoB+ybiEoC+5CjJR4s4Uh/J7cPjcbEPLf4XCgoKmDt3Lo8++qg9tztJiNdOk5Sw8YdfqApPIL5HN1oHuze9hIkja75jf64bHs37MqBz2Hn39cKZQvyWLamk5+Xj6nKY2V/8yOLVa9i3P51Kqzchca1pEeSuhstizfwpfD9tCrMXrWTrpj3s3H6AE9UWohJaYD6qwtXE91hywkru4YMctvmSm5JIkQqFGdUVpKTmEt/1Ujo0M5G9axGTJn7LlF+WsGnTNvYfOEpWoyse4c3pooKgiqKsee0upq8/yLJdh9i9dgO7MvzxrVjBlAM2AsJi6Ns6UEud2LJn8/xrCzD5t6RztzaqEWCfrSa1Bfwyd4EK2mrlcsvn+y9+4JcFGziQVobOqJZMrQo8P3zFlNmLWLNxH0UuoTRr25XW/hYqUnfw05SJfD9jLktWbWL71j0c2J9GuWqotU+IJ4hc1i2cxYefT6fGdpwFs+axaP5a1ejIo8Y1kPYdWhHkaSBnzzJmz/iab9V4Vq7azq6de0g6nEFjUAuatWxFhEcDdSpYz578JZOnzmDRynXsPpDIgeQkNs+byZHgIXRR44r1q6ZE1fFPX07m29m/sHzNejWuRI7mV9MQ2IyL4qPsAbFw03jmzPuFqXtsmLOX8PX381i3IZFagxcenlayt8xh/DfTWKiC9o6j5ej8m9O5Uzy+qt7yE1czb8YUvp42h1+Wr2f/3kQycgqoD4omKrwZwZ56ik/s5LMnnmZnfiHb1y5hxeLlrNpymGPFZqI6dcKWNJ9ZizaxYu9xyquKSaxrxj3Du+Pj0dTI0NisJsoytjJ9wgSm/fQLS9dvZvvuPRxNyVLLsTktYuPwrU1k3fJ5fLrgBNeO7I+f/f3ZbPxxMh+8Nwe/EbfQomoDC779mu9+VPWhGoPaONLTi9CFxRPfxpeCA2uZ8sVkjtbUkqIaRu5R3enYOgTXnM18N+ErvlXrxipt3dqVRHpJA9YQrR4j0HJ27qp3mDZ/HfP211N7TK2v3/7Mpi0pmDwCVUOxmrQNs/ni259YsmSxWjfrVPu9hTqgx+BurmLTjHFM+Xo6c5etY+OOXSQlppFf5UZk+7Yq6Lv9Vw8yEuKdhZkCtS2+tygVXatLuPOKbhzZuhx91zvoFych/nwmIf5cqCJxwS/syFc5oO+VjOoa4ijXYSs5wOGDx0gtDue6m7riYy8V/wunh3gn6U6jnREMIaq5jtITh0lOOqoip/Y1fy3l6VtZs7+clEwztro6J7lAyYCLayW5GUlsWJJGm8tv4KGnHqZPrIF921cxbfV+NYyV4qMbmDZtNwXVHRh92z947JG7eei2dlTuWsP2dQdoCO1Cr2tup3OzAHpdfQO3Xj6EG4b0JKFtR3y923H9nTfRo30MlrRFrFjwAytSzQwaczcPP/4IY4bG2gPXj1Pnk16tTZMON29fyoqKcPUMYfgt93Hv48MZPvQiAsuKKM3La6rb+jqyVyzBokJmWMtYAk62pU7SG/FybaAoPYVF8w7Sos9o7r7rSpo17GL+5PeZOHMn1YH9uPueexjY0ZWDKgTOXZmK2VLO4aU/8vXMQowhw7nvoWd5+L6bGdnbhV0qmKUey6PR6I6nQTUiyo8wabWR2Evu5KG7h6kGQAar1Hu3ZVSo5l4J2+b/rOqxktgut/HkEw+p8VxN6/pkNi3dzPr9ReqIkEfSoq/45pcduLUZwO1PPMft144gxlJBgVmbBT1uWn4tS+bQysl8tXA/zXqP4K6Hn1L1P4QY9xzmfTeVHdlNF8S5enhhq6+gJPMwx2uiufPehxl1SQT5R5bz2fjvVLDMpvPgm7n3jqsIJpPdW1Zx+ISaD6uZbYu+Zv6uTLw7DOap55/m/ruuoJ01iV+mz2H9rjStQnFRW6mbWuOXb8lV4WMEo++/nyt7+XFs5xQmr8/GGtWHQT1i6NU6lLj2g7jrqovwPiXAayyNVaSuXcSPe80Yeozk3uee5f67b6ZnQiWLly3lwJFj6JolEBHfleYN+ZxoMDVdFH38KMeyVb00v4jeHbw4PG8aCw41Yux5HQ89+wz33Xsn0T7HWbJ5OwfTK4hpmUDvAQMI9GzB5bffztBLuhFYsZ+tS1TwX3mU+IHXcu+jT/HAmAEENB5lzvcz2J2rre1aPfpgrS6m4Fgq+eZ47n/wUUaq+Uzbt5BPPlcN3Q0l9BpxG/feOhz3qkR2bdtEWn4NpsZMFs9eR22Lnlxx72M8+cidXNorknVzvmLJwXwK7H16xIXNhqm2hKWLtuDe+mKGjRxBB+8Ke9c26UkjxJk0UFVqot7qhpu/l6OsibuXGx46E+aCMnuXSem6eO44SYjX2niRXHxNVwyVB/ll0ie898GHfPjhR7z9xiRWZxZS5uqCvVeIU9BhMZfiFhhKpxGv8Nw/nuefL/6TZ5+8hW6hbmRs3UmO1nDxj2Xkzffz+Njnufeuu7h84MXExbqjt9RTVFiJV2xP+t3wAN2jgxhw413cf/1I7hzZn06duuHv24XbHrmHS9oY2LV0HTuOQv97n+P1117n9ddf46333+aJS0MJzlnPjL3aPURs6GwWFeBjuEgFzieef4KHr+tGt44dCapOJjsznSNqKJMKeGt+OYh7cGuiosI5PcOj9fOvLqRR54PHgBd47rnneeWVsdzQK44AUyMEtOPBf7zA8/98ngdvGEqMq5Xc9GPUGtzxiL2Uh1WgflYFzFtH38ig7p0IDbFRW1xCSV09dWpXYTW54u7ZhmufGcvT/3yJV157hBuHdCOgpJLisnK126knqvsVjFLz+tSTT3DDqFEqfKrGhq87lYUlVBRkU5iXxs/TN2HtNIJbHhvLyy+9yD+ffZrH7riaqBBvDHo9Rho5sW8PS1XwDLniAZ598RXeevMN3nz3HV6490ouMSTyzeYsCtUsuRr0mBsa8PIM4Io7XmDsP17i6QdvorXBRlluA60eeoWxz73AK68+xciL4vGpL6dENYxspbtZuauQln2v4ZlX3uStV17j9Tde5Y03xtLTlkzukQMca9A2Up2qVn+6jLiJ+596jtdefU41Jq6ik6crxZm5eKpQMrBPPJe0a0abzpfzyA39/xDirdZ6CnPKqKv2JSKuN8Ovv0M1cF7g1Vde5L7RA2kZ6oWLIZBgvzDCXU+w8bgZrW1XmJpGRqEBr45DaRtcTm5aNVXVgbRo25eRo+9S43hVzdc/uPWybkT4BhAUlcCAoUMI9orn+oce4tp+LShP3MXyTSeIvvZRXnj5Vd58/XXefO8dnr/lErqaDjJpcw5V6ihg1OswqUaif2AkV9/zEs89/0+evG8UkTXatQ2udHjsdf6htpWXXnmCyzpG4lZTRkm1qkdrBieOueIa2IVLh1/LIw8/zgsvvMw/X7iHnhFeeEpKu+BZG+s4sWU6a7Is9Ozalsu6RFJ/2jUZQog/kjPs5zcnCfEaPa0G3cmQfj0hay9fjRvHV1//xNG6aPq28aZNiJVGk7PcF92KudGbkKh2DBrVj7jQEDxdAulw0QC6tYnCrTSTQ6p5G9yiFc0D6snYvYTvJ37Cl5O+4RsVPlMq6qhTgcfgqoKvjx9uRgMe3r74+ejx8nLHzc1dBVE3fPxUIKWYjGOVHDlaRt7hnfz83dd8NeFLJv+0kF1J6RQWlXLkSKYKv1rQs+IfFkPzuASivFxUKHXHK7417byrKcs6zv6jNViLUvk5sZLguHZEhgU3zc7v2NS8uRMU2oKLr+hJXIQPviGxxDTzpWV0CPEdOtOlVTB+fqEkNG9GmArXpgazmk5f2vXrgG9DKtsWTWHS+E+Y9P2PzF19mIJ61eJX82uzWbEYvXAPa8foQe1oHeSOa2gX2iS0oY13vf3CYLM5nITOzTFY0lk2/SsmThjPpB9mq1CaT6nJirG+ikoV5Ldk19Lx0uvo07kLoSrwBjZvTvd+F5EQourTYEBvrlANpWKSUiqpyktn7dwZfDtxAhO+mcaStbs5oert0L4UyurAorPh4uJHWLMEunVtToC3G9HNQ/EPjSI8pg2Xj+hCizBvfMM70iYihGZuFkymWmyVSWRmV3MiOZHNC2cxSY3/q8lTmbX+AMdzCshXjY6SyipseiM6z2D69uxEu+hmuLhGEBvfiu4RHljU62aDDnc1Dx6uRlzcvPB3c/nDhm3QuxMVE4ZLQxrbV83ju68m8s13PzFvRQkt23ageWSQ2luregj0IzrYyPJtmdSWl5OReZwCnScdBw0lRO9FQvtQdHWpbF0+m28nfcW333/Phn1mWrduSXSErxqHWhc9PdGrcXn7B+Cjml5F+aUcPlJBRc4RVs38ka+/nMDEb2ewavN+ctU8Htp3hCrVGLKqenR1DSIysi3dujTDz9uD5mqafUKiaN66LSOGtaN5iA8BUZ1JCPcn1LWRRrMrekMU0ZENHN65gpk/fKO2k6n8vOwAPrG96ammN+j3J5HEBcdEbcF+5v60lOAeIxjYtx/BBqPaZjxwUftOV09ftd90DCrn5YVwUHlK+60Zm4rx6vh7Ku3GHPYSq/wWzbnmRCEe3KMHcfWYe7jv3lu5/sqR9j7m195yNf2jAwlzVaucu6u94835z4rV4oO3TxgtVA4+Oc0u/irUhgXgaazhRBlU5GewY83PLF65gM0p6ZRbA4hrdxHh7h64q0BrU6HbYjbbb1VptZhVgFV1YFHjVuX2wKvd+cVWS53ZSHFODnuW/MTnH37Ae++9x7sfjmfWqp0cSi+mIDGNSrUpaveP8dAuPvU5eURTm6dnSwb1iiKgsZx963eSdTyF/aVxtGzXnPDQM7XR1bTYVPj3DiA2xuCYN50Knnr8/L0JUsH/5NjdjEbcXIzojSqgU0vu/l2sWvwjSzau4VBuJTqv5rRu1RF/owsG+1121HwZXTH6BxMf4Np0gaqKiV6+/oT4anc0sapx1ZCxayNrFs1h+fZtJBdY8QlLIMY3CB8XFzA30FhdyQmLnrhW7Qj5tUO/XoXFYJqphotRrzYLm2o4mG1UlteQu1M1oiZ8yvvvvcO7733EpJ8WsOVwHrnbD1FSY6ZBhWij0RNv71ACHDOnU6PQq+nyCwsjTk1o04amGl2uLqrBpupNzQumChorKzm4YQXTVCPtvbff4b0PPubTSTPZcuA46TkqxJerelCNCp2bJxFBPnjqm3aZLh5ehAWpcK8Wulr0mLVblmo7VKvFfhn46TtWvYs3sX1GcOOYvkR7nGD9z9/xyfjP+HzST8xZsI7krAL7+4LCwumcEEvaqj2qIZFJUk6NWgf8uHRwhJoHP9pfPpprr+9JqOE4S2d9zWfjP+Kr76Yz4+eNHDlRDmo5Wy3aGU7VUNVWSLS76OioLC3n+NYFTP7sY95/911Vjx/z7ZxlbFf1mL8jkRIV4htVtbgYvdV2EYy/oxO7XtWtwS+QwLBQYn/dW3ngqRosHgZtHXfD1b0Vw++6nu4xJg5sXMBHn33BhEmT+Xn+YlZsTSW/Wn4t4YJWX0hh0jp+3pjCsbQkVv8yg7nTvmPKvOWkZqsG5tKv+OWXraSfKFH7wDPt04S4EKljlY8LrgYTpup6R1mTxnoTDerobgjwsX8bL1vNueNUIb44bTc1bkEMHvMwH37yEW++8TJ3XtmCklIbpVY/giNDnOQqabXK61TotDr6HZ9kVUHcpKK01aCCpJmkTUvYnl6GR4vOXDnqJm5/4FFeevlB+oSooN/4+x8osbeMf7cl6e1l2mdpwc7TN4AWbTrSvn079deedglt6dZvMJdceil9Y3zt79BuF6lTLW7tr4n2ry/9h/UkPrCejLXL2bI/i7JmQ2jXMpCQP1t7bCp0qhSrvdwUJrVgr/606VF/JwOmVqa18g2qLuqqs1g4bTZHTAG07DuM68fcxf2PPM7j91xNrIcbRhUM7e/TxqFdIGtWgd4+lqZxGlR41MZsrN7BssVrSC3S033YSK675W6eeOYJRnVsQzMV/LT61hlU40G9uaau/ve39FRBuFFrKDieag0ho6sb4XHtaNuuPR20emvbjk7dLqLvoMu4okMYPm4GzBab+mzt839rQtq0QK19e+Coy6ZxqqCt1cPJD1DvMLp7EdGiJQnttWXTnvbt2qnP6KRC8zC6tY8nyF3fdCtFgzb+k+PRZll9mtYY0MZ/8gXtX1Wu/XM6ncEN//ZDeGzs4zzx4Bguv7Q3HVtFEeZZwIoZP7BsywEya7WbPTWjY9e2eB9ay77Eg+wqcMfXP4IhzbWxuODfYxQPPKWN4yaG9O9Fp5YReJuPMn/KNJZtO0yBzc1+kao2MU23UG1a/1zdVSMkvgPttHns4KjHHn3pP3AII9oFo92gxqI11P5Qj2p52OvRUWDnqEftkfo/ndGfIXc+xWMP38F1Vwymq1rW0T61HF0/hclfL2ZfWvGv9SYuQNVlFKXuY29OEWvnTubD15/j0Wee572J0zmYXsieH19k0uQf2XDwhL0hK4TQ+KpM5Y6XroSqrBOc+vusJYUVFDYYMaj9v3Y/QKcKkn8zTlX3u795kHEff8GyxHL8/fzw8/GAlA38uLecbM/mtG0T5RjyfKdXmayUyqpsjuba86hdVWEGx7OKqGn0p2WYmeNHD2HofSt3jP2Q1++7mVGXtadFhBW9QQsxTe+xpzcVNrUg+VuZNkKTvQydCzpzHXFdBvDQB7NZtGw5K1asYPmyxfw8ayaTv3iTpx++mBAtdGmBSfvvtMTj3rUfsVGN1CYtZc0W1agYMZRWqgX+p/cv0mnTpI3pdPaxOx47qKCnNzXSUFzA1uwcWt/9Gc+99DaP3zyUgX2bE+TXaB/f76ZJG73joZ39s1RgVPWg37eNFJMHra59kLdeepbHbxjARV2D8fRsCpMWVw88A4Jo6wZ79uwku0i7RFox1VORl0d6dS0Nqh50etUQsZkJCI1g2BOT+WneYpareluxfCkLf57H1G/G8/EnN9MlSAXxBpOqcW2KTps3+0SfqR40anqNalrCW3P7k+8wZd4yVqxcyfLly1iycDbTf/qKlx66jh7RQZjNqrmmRuIYnZ32+NR7uWu0Roc2j6e2S07Syuur1by6xTJ8zPNM/O5nVk7/ga9fu43unnkcyzxBZrGqaxd/QlvF081jC7s3bWJ/pTeBka1opY1ENTJrKsox+iRwzZ0v8/20+Sz94Ts+fvJq2uqOczTjBIfL1I5dWxQqDpm1b4W0QG5tJLh5a0Y++x1z5i+xr38rli9hwbw5TPnmU95/fxRtPFU7xfHDO3+ssabnp5dqdagtI+12oTX1bnQYeDcfTpjGusU/88PbT3FtewOVR3aTdaLE3r9fXKB0RrWpBRAZHUmAnxeeHu54eHji4eaKwWDA6OaBm3psdDSUhRAaPRGxwfjo8slL2k1GVVOywJLPkZQsdazUE9A2Hu3eduLccaoQHxPXkiNpSSzespGkyloKjqXw7rs/kp7lT6v49rSOcQx43tPj5l5DhmqAfPXhRFJyq2i05bNpznSW7jlMbaeuXKwCmafByJ5DSexKO0YN9RQc2sJbdz7B4uw8il3VAUilGp3OosJbGdnHSyir1MK9Hr2+BpM5jcxjtar13JJ+PaIIKj3E7PE/sjmrksraeuqKD/Ljqw8w+soxPLvguD0gGX49A38a985ENlNBuO4I+9OzuHbwAAJ8Veo6i7Qzy9pBdNUWFR4z8rCZisnYvJDXn32XA5VV1BlVqHYM+6/ojEb7jwQlqwZBUl41NaUFbJryJd/v2ceRimoMrv74RrViaEd3Mha8x+z160ipNpF7NJUfJ/9EUloRjdq3HB5htGjdkq4hVawc9xELdx0nt6IRU00eOxdN4uGRwxjxyQ6OqXTo4frbmeN/iwrUNlcfdDGX0kZ/jBWzVzF3bQqFWKitLCFr++fcfeVInn//Jw5VmO0Xzv7/6PVGLOYayiuyKVbvOT3IN5YfZ9Zrd9HjoYl8Mj+V6jo9Zn8/QkPCCTS44q6Wvd6+FrjiFhLPZd082bdpDQ2NDcQn2CM81opkPr37CoY+/DkfLclE+82thuAgwlSjyM/VDTc1DoP2TYDOpIL1cTLSK9Q8BdKmfSwJ7nksHfcJi/bnUlipdWnKYcP0j7j3qiu5euJ+tPaDm3Ybnv8LvQsulmJqkr7h6svH8P43m0jJqdMWCJ4hYUTpXXFV64NeTZeEswtYYBu63jmBpKQkFT5SSDlylGMp+1k57SOG94rl6k/38sP3n3H7sHaOLnpCCE1kl0uIjPAlcd9iZi3YTrnKXRmblrJ4wwYqjR5ce3Fbx5DiXHGqEN/88pvpG+lKxndvMvrS/gy//ha+2nCQiNEPMfzyocQ5y5Hapl2QF4e/SzCBVV9z53WD6dNzGE9+sR5rs47cenV/tWQMxLXvRkLpJua/eCv9e/ZnxO1PMWO/GXNtLTWV5ZRV1ePppV1E6sqKDx/m9td+ZGGqlZjYQBord/DyvXfyw8pUWl97K1eO6kLemo955NrBDLp4AJdccScfzE1CF9mFKwbE20OO2aT1A7fYuyr8ngcxzaOJbhFNSUMUQ/u54vOnGd5m7xNtPtn9xcGmntv77//2dQFaVwntMxtUAHULjeCS2Hj8VYD98K5h9Ow7jNFjP2JXkRe2oiIKquso0e4HpwKwNo2/G7dq8FgaG+39WS1dB9AvzIOKn8fz6FUDuHjo5TzyyQKyyrSLcgspzSxGH5TA9WMfppOxikVvjuX6i3txxS13M3n9QRrUiLUu8Sq7Etx9AFc/MIrgohV8/PhoLh/Uj74Dr+TBl78lqS6aG4d3IsgbTI0m+7yZf+3io6g6tGj18PufflWTr/VhV9Nq1a4FiOXKm4bjWb2eiWNHM7RHLy4dPJzRT0whzRRBXNu2NPfzdIzHpJbLKeNSj63qM01q/Bb1FxrTGj9vK5sWT+Dm574mv7zGMWATo2cQ3Xq1IyZnHt++OIpLB/ZiwOARDH/8Qza4J9CtY2s6hjTdKNvFPYQBw7qiqwJfLx8itAs3FJ13S4YOaUnw8ZlMHnstAy7pw6VDh3PDaz+wJ7gbvTu3ZkCoEa+AALzcTzD+kZt5e+JS6ltdyqh7rsDz+C+8/cA1XDawP/0GXc0T780hS9eSm0d0xFulJ21d0OpRu5bjZD1qy1Zb3vbrO05hr0dTPWaXUFyiRnBJ8yyWT3qEG64cwEX9B3H5vc8xIQVCB4+kY+so1GISFyrt2z6jaqi6a2fgPXDX7h/r7oOXhxs6tX7p1WNVrDjV4VCI/77oqxh82RBGhiby4+t3M2TgAK594C0Wl8bRY9g1PNDJMZw4Z5xqr+UVOZDrb76BoQMSMFdpP+luoNUVN/HUvcMY2inQMdT5T+fqRWBoc3r0Hcjl119PiIeFqtJKIroNUPN3PVf1bKGdUqZNn5GMGtKRhGAdJaUVNPiG0POO57n9yi60DXO1h0dPFZi6DhlKTIABU3ExdS4BtOjRg2G9W+BWV0lFeRWGqP4Muv4O7hx9EV7UUaUaALU2X7qPvIm7H7qLQRHaVBnwjYgnMrIZgV5/vLIgOLQZUR064RPbmt4Bul8vTv0DFcgDQsPUeML5Leer4UOiCI+OIdjnt3Ndrt5B9ttURof6q4NoFJffeifX9wwhXF9JUXUD+ug2Kow9yVX9I/AxQH2jG/5BIbSICcNNO+PrGI+7TxBhLWIJ9vXA4t6VkaOvZVj/1rjVllJVb8Kv22BuGz2Ewd1D8DLUY1JTH9zvdp587HZ6xQVhKS9W7/Oi9cUD6RQVjKteh8rZKs3GkzDwFjXc1cSHutBQXU5FjYWQhIu46bEnualTANrVBDqvEEKiWhAd4fdrFyO9mw9h4WreIgJP6eGtxy8kgvCoSHzdtCHd6HH5Ldwy+lI6xnhSXlRMVW0Dbs0HMObhh7j80q72ryr1Ri8iYmMJ9PawXw6gMbh5ExAVR8sIf1wx49KuLx0GXUY31chtKC6l8rTQa1DT03rQKB694WJ6R3tSV1pMWU0dtcHNueaeexjcu6NaD5uG1bt4EtuzO8HBocSEBRMR3PQryDoXb7pe/wB3XXcpfaJcqSktoaqmFlp24fZ7b2ZQt3g1lBvBrdsx5NIOBOjrqSkpw+TTmi7Db+OJB6+gub+OuipVj+pt0V0vVvP5CKPbedovjtL7NCO8eXMiw3x+rTOjux8Ral2KUOvIbzsrPf5h0YQ3C8NbBTNXv1huuOde+iVE4N5YSXF5JQ0+IbS9+Umevm0gnaPlC19xOrPaD3vSLDqWME8LjuvFhRCnadf/cm6+/VZ6RRqoVbnL6tWay68azU1X9pdvrs4DOpujY+3YsWMZN24cqampREdH289anI/M9cUkHjrIvkMZ6FTwCu5wEUPax+Bu0H6gXouL5x/t17W0X9aaPHmy/bm5Ios9uzOp0HvRrl8Mh1es5URBOSFtutK5cyeifE/+dKCV3OQtHEjOIKvCgqcKxy17DCQgbTmlhnBC47rQOkxPfvYBtmxOpsatDT36tKW5bzmHNm4mpdid1t170bFVc3z1dRQeS2TDrsNU15kweAXRunMPOrSJwtteafWkr11Ali1STUcXOkT9/txlya4Z/DR/BatsQ/n5tZtw+bMuJKZqkvclUVhjpvXAfjRTRTosZO1ZT1ZxI55t+tKlhZ89kFUd38+Oo1XUeUUzom8LFYBrSdq4jOTMYkpVE8AvMpK2CR2o2Lce11Z9aR7mTUNuOoeON3LxZb3xs3eTsFKUmUhqUhpu7bQwHIhLXR4HD+znYEoWZhU8/RM60tU9j7QslcyD4ujeNR5zbiG1jUWkZWRSWFKN0dtdbQxVLHz3Y+puHM/jN17CgKimtclSmsb6bfvJKarAoncnvEVrOvfoSaSjlVKdtYOUo/kUu3bk4otb2hsvDWXH2Z98ggrVWBrQvwNN+dhE+t5t5JWZCenQmzZhTSOozU9h94FkDqv5dnP3wC+mAxf16EqkfRFYqKnMZ/eG3QR17ktss2C8XHTUl2WTvmcHR42d6NejJaHeNgpzD7Bt/UHKXFsz7IqLCPdw/UMrva7oKAd2J6m6KKLBwx2X8Gb07z2AGF/33xob1hos2z/m2rf30fmKu3nknisJP+XXLCtzD5O0/zCpOSVY3NzwaBHPxd27EqEaGRqTqtejezazJ7WaYBXwO3VsT5SfnobCI6zbvp8CVd9WoyeR8e3o3LUzYY5dTWX6RpLSq6jx7cCA3jH2n/iuL0ln16F8LKqh1KenapjZh2wgZdsmShrVsmjfg7hgdyymUpI37+RIVh6lVhseQWG06K6WYVMl/lf3DevWrWP06NEcO3YMHx8fR6k4v1moKjjO7r370CeMpItq/PpJIjlvVVRUMGPGDHx9fRkzZoyjVPxvmKkqPUbilu0cLVbZwTOaTj060SYuzLE/Fv9LBw4c4KabbuLw4cP23O50Id4ZnR7inYeNxrpazFVFbJ09kTX7M3Ed9gIvXd8Fl6ZbkPx7/osJSlt7df/HcdcUJrH+6+kkhfVk4MW9aB8ThqX8GAfXzubFt3+m+z8nce/IbrT9t/LY/2Hm/oN6ONP8/btl/1faTUbN9TWUpquQ/uPzfJjdjWtuv5d7Lmv75xcxnzX/RuX8B/X3vyAhXoj/LgnxQjQ5PcQ7VXca8b9ls9aTvXsF3372AZ/NXE9qbQA92sfZLxT8P/kvBq//JLha6qvJ2zuN7778iDdefYV/vvAPXnjpdT74diFJft24tEMz4v/tLPZ/mID/YFrPNH//btn/lXYxcerepUx49wM++PkA3rE9aBOvfUPyv/BvzMBZmEchhBDi70JCvPhT2kWF1ScOseCXeRws8SKu1zX0aelz+o+3OR2v0HgGPfkUw1roOLL2F7754jOmLllDekBrnn7qTnrFBjrJ7w2cXTpbA/mZh1ixbBlHA67lmkHd6dbc0VFeCCGEEOcVCfHiT+n0rkR1H85DL7zFW68/x81X9CLYw/lv12dw9ye6x2jueeIfvP7uu7w/7kPee+stXnn0QW4Z3Ilg7wuzp5/OEEir7lfyzHsf8ebLjzC4azS+F2JrRgghhHACEuLFn9LpXAiM687IG27jxmuG0inOee4A9K8ZcPGIpFP/y7j+ltu45/77ufuWMVzTvxfNA7yc/puG/5jBm8j4nlxz+12MHt6V8AA5Cy+EEEKcryTEi39Jpzfi6uaOq6vxbxduT86bu/3e0W7/1o8q/d3pDY7lbZQO6EIIIcT5TFKLEEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBORkK8EEIIIYQQTkZCvBBCCCGEEE5GQrwQQgghhBBO5owh3mAwOB6Js0GrT51OfgFTiL+jk/tLo9Fo/1cIcXZp25her5dsIi54p+dJnU3RHowdO5Zx48Zx5MgRQkJCcHd3x2q12gcS/zlvb2+mTZvGmjVr+OqrrzCbzTiqXAjh5LTte9myZdx6660kJSURGBhIY2Oj41UhxF9xMqxUVFQwZ84cfH19uf3226mrq7OXC3Eh0Y4327dv54477rBndS23/yHE79+/n7KyMvuBSM4e/3Wenp6sWLGCPXv22OvYYrFIiBfib0Lbvrdt28Zbb73F1KlT7SHDZDI5XhVC/FVaDqmurmbdunV4eXkxfPhwGhoaHK8KceHw8PCwnyx65513yMrKOnOI37BhA/PnzycnJwcXFxf7G8V/TqvDjIwM8vLy6N27tz3AS4gX4u9B2761feXmzZu5+uqrcXV1lW8whTjLtIbx8ePH7dtby5Yt7SfDhLjQaF02i4uL2bJli/3bqTOGeC3laxuK1v9M/HXamYN58+axadMm3n//fTkTL8TfiPb15urVq3nsscdYv349/v7+ciZeiLOsqqqKxYsX27e30aNHU19f73hFiAuH9s3v3r17efLJJ0lLSztziNdeiIuLk640Z9HChQvt/Wa//PJLR4kQ4u9i69at9rPw2rdtcnGrEGef1n1Gu7bMz8+PUaNGOUqFuPCkpKRw/fXX20+4a7n9D6fbtUwv/c3OLu36Avn6T4i/J21/qe035WI7If47tDPv2jdcctG4uNBpx5tTu2xKnxkhhBBCCCGcjIR4IYQQQgghnIyEeCGEEEIIIZyMhHghhBBCCCGcjIR4IYQQQgghnIyEeCGEEEIIIZyMhHghhBBCCCGcjIR4IYQQQgghnIyEeCGEEEIIIZyMhHghhBBCCCGcjIR4IYQQQgghnIyEeCGEEEIIIZyMhHghhBBCCCGcjIR4IYQQQgghnIyEeCGEEEIIIZyMc4R4m4mqvBOUVJlpsDjKTmFtrKI0L5tjqekcy8yjrNaE1fGa87Jhqi3nRG4RJZW16tn/mg2LuY78E3lU1NRi/t9PwCls1JbkUpCXT3FV4xnrwmYxUVdeSGZOCVX1Jkfpv2ZprCY/v5CSiuq/tL6Ya4opyc8ht7Aas6PsrznTHJ6NNdpKTVGOfZ5LaxodZUJcmCyNdRTlZ1NYbcXk/AcMIf4HzFQUFlJVUcMZopg4B5wgxFuoKklj09yf2Hy0gtLTsofNVMSRPeuZ/9P3fPnZBL76ejpLN+4lq7zuLAWqc8NmtVCRfZCFizeyMznnLG8wNuoKi6kuLVeNoj87epmpr8pm2S8LOZieQ805DfFmsrctZO3S5Ww9UnLGiGtpqCBr3xq+mb2NlLxKR+m/YLNRX5rBquXr2JmYwV+JtFXHt7Fzxc8sWZtGrXr+n1eVajjV1VJ6NJu6+sam2K4aJ40VZZRnF2P+02X172okY91Mli9Zzc60ckeZEBcgqwrwGftZNGc6a9MaqJA2rRD/H43UlO9l3bIVHErOpl4avueF8z7EN9TkcnDHAiZN/JQVyeWUNDheUGyWRoqS1zJtyjd8PnES3333Pd99M5kJX37Fit1pFNc4cVvRpkL88T3MnreazYeOn90GibmR5NVb2LU7iRN/dgrKpkK8qvu1S1Zy+Hgetec0xFs4vnGOvUGxIbnEUfZ7loZKcpM2M23RbtIKqxylf86mInJdSSpLFq5k6/6jfynEV6dvYOvC6cxbmWIP8f8xUz3lGUdYOHkVKUWV9mmylOaQvWU5y5cnUlZv+gsNBE0jxzfPZ+2qjezN/DcaOkL8TZnKstm/diYTPx/P0pQ6yiXEC/EvmKmpSGP1nIl8++MMdiRnUe94RZxb53eIr8lnz7Kf+eKDH9hRUKVWIxvGX6fYhqUyj+U/z2Xm9iKC+t3CG59+xCsPDcOYtpiFC5eTnFHkGNY56fQGXFyMGAx6dI6yv86m8nkt2zasZtOBRPKsf7IK6Fzw8m/FHY/cR7+OrfA7x2uKzuiC0ajqQn/mmjB6BtP6kht588kr6N4iyFH6r6jx6PRqnAY1zr9Yv3o1Xdr0/cXlZG2oIO/oVn74eSspZU1fV9bnHeLgqq+YvyOHssa/eurDnQ6jn+b2u2/msk4hjjIhLjyZydtZOWcOmaWN6NRGq3YBQog/UZZ7jCXffsOHHy/iUEkNZg9XDI7XxLl1nu66rBQd2sWX77/Lm1/O4nB9MK4+PmpHq9d6QTgGMVFZnMuO7Wm0GjKaWx56hNtuupGbbr2Nx2/pQ0HaETIzz3Y3lLPn3J3Y1qFz96DOVIVJb8Xd889WASPu3pEMuXI47VtE4Pkv0+mZ5uaPZX9lnk9+vE4F5jNNscHNl8iOF3Pb1T1pHebjKP3/U7XhePTX6VSjQNux/fkY/3UN2IOEro7ierNqlHjipZ666usx1x2nWueGl5d707j/1Wj+5Ue40mLAdQwZdgndY/0cZUJcYIo3kbh5HRvTjQRHBNuPK39p5yTE35aFYztWM+mNcXw8by8RnTrh4euD5S937RRni+E1RXuwcuVKhg0bRmlpKX5+fvaznudOHQfn/cKynZmYY9px2SXtyT2SSGT/2+nZOoAQdzWIuY7CrEPMXHCIAbfdzpUDOxDm7oqXvx/BfiZWrUwmuk0CCR3i8Th7Oe0/kpycTHp6OiNHjrQ/144XOtVQachPZu2SucxeuIo1qw9RbnPHLywYHxftoGKhPHMPi7eXEtU2gQFdW6pYrViL2bNmIfMXLmbxsh0cTivDNyYKP08Xe4BsGrdSeYxffpzEwuWr2LO3CrM+hIhID/SWErZN/Zy5y9ZyMCuHoiob9Xpf3DLWMjXFnZL0raSsX8WKrUX4NfNg45KV1Lt54R3oj5s24pp81s/9knlLVrNlaza1Vj/CYwJUPDydjobaKjbM/ILkGh+8/ALxddOm0KLm/ATLPpvG4TIbbqGR+LtbqcjYycxZc1m2YjU7D56gweBFRERA0zxjJn31TA5X+uAa2Yro2u18O30xew7XEOAfRHCgB5b6MrL2rWfqmly8gv0J8dUCr6qNsqPMnPoNi5avJDGlHp0xjPBwN9UQsFJbfIQV69MIjI2nT8+2uGkfZaskZcsSVb+qjhdv5WByAW7NIgjyc//TMw+VqavZn5RLnqEd/dtWM23qbNas2UJpnQH/sCi87SPW6KgvO8yOTT8zY95SNm7Yyv7kMtyD1Tz4u5F3dDtzv/ueDYezKbdUUlVVxL5Na1m0bjdHi82csHrSOqYZgWqE1soTHFLT+cOsxWrd2cmxEgtuQcGEeGtLQs23tYR163aQn7qPoow9fDd7A+UNXlTuWcDe1EKKdEE0D/awT5WpIJElixcyb/4Stu1KIbfSSEx8eNMydaxQ5vp8ds2cws9LV7Nq3UayCmrw9FXT4vfHJX+hyczMZM6cOTz55JO4uf26sMX5yFbG0m8/ZuXBUlxaDcTPnIXPRbfTv6U7gbLozlsNDQ0kJibat6+OHTs6SsV/XxF7Fi5h5fwUml15GXd2M7L3WD0xCd3p1TkO93OcrS5EBQUFzJ07l0cffdSe28/TEG+m/EQhbtEduWTEIC6JM7JWhdHAXrfRo1UAoSrEW0xV5GfuYs6WWm4YNYyeEY4uFDoDRrWhb1fB2LN1G1q0b0/QuZwV5fQQr1NBtvTwdhZN+5ovvprE1LnLWKsC19GSGjxCwmgdF6kaHlbKju12hPi2XNo1Fl1lNjtUkJrw1Zd8N30uS1dsZPfBLKp8A+kQH4O/h4satwqnOYmsmDKZ9z4epxo5a9i0NYOyek9C28QS7l/Kz88/yOKDmRw4nEZ6dhlVoZ2Iz5jJG1vLOLLqRzbMW8maTDcGXhbO1A++xq1lG+ITWuBZmcuupTN4/73X+UENs3bjIbLywCUwnjbxvrjY5+43DdXlrJgwlgWFkbSMbUlssKcqrcWat57nn/iUyvCudOnaHNcT2/juo0/55OspKjgvZ8u2Q2RUG3CJaUXncG/1HjPH1s0hMb+enKoajq38ig+/nc/2PZk0eoUR0yaeEL0KvIu+47mfCul4UTs6RflTc3wPv3w5gfc//5w5i9ayY9cJqm2+NGsTRzN/F+pViF+uhfiWrejfoy0utYUkLpnN5EnjmTx1lgr+69mxJ51SozstW8URpBoGZwryVWlr2X8gg4N57pjz5vP+J9+zfOV6UjPLsXmG06pzc/tZdcrTWDrvKz4dP4EfVCNk7brN9vFXBUQR29Kb+tTNjP/gSzLryzl4KIXijESSD6ez5kCB/eLurQV+XHFxd+L9a9m+eDoTv/iCCVN+ZvWaTRxIyaTKxYeQ1u2I0LK5NZdp309hh2ok7li/hs9nb8U3vhumtR+z5nCtWuZduTghEGt5MnMnTeDjCV/z09yFbNqym8NZZVRHdaBDhD8eRh3mKjVvK75g3Jtqun9ZxrLVazmUnEOdIZCYTu0IUDle65JwoZIQ7yxsNBxczGs/blfrf09uvbof2XvXYOx6O/3iJMSfzyTEnyu1VBTW4hnYhpF3jaSf4QDzdpYQ3qoHvbtIiD8XTg/xf9aX4hzzoOM113ObWmmGdW+Jp6npsk7bKSuMzWqiob6UGld/An8XrdQs6UPxp55aSz0VVu1U4nnGnM3yOVP5aMJsDtQE0k7tlHp0DyUvaRUL5/zC9iOV9rOfJ2dX60JioJH8w6v55z/eZ+XhSnyj26n3xBHoW8D8H75h04FsqrQ7K6rwtmvVbF55TYVBfStadehKeMAR9u6cyvQ5W6hSdRvcoo16nx9BIaG0UOG0eaD21YaSOkuFxizKvRPoenECEcGq7mxW1SzQY7A1knFgI19PnMTm8hiat+lCqxa1HNgyWwXPHzmu3n561yWjiwutO7YlIzOfoiLH3VBqKqncsZkUj2CiO3QgWp/OjsXjeXfyCqz+UbTv0pX40Dr2bl3CuEmLqbTfLVJn73NelXuEfbu2sD5TR7v27fCu38UPS5czY2smOlcDNjWt9q/59Nr6kMm2JVN57o3JlLi1om2nLngbkti+bTrz1ydisq9MjhrW6e0bQtnx3Yx7+wPm7i7EENqGHj0SiAytYO2Mr1i88TDFFWe+daV27YK5toyMlH3M2ZhITMvWdGwXReae1Uya+BVz07S6sVGw6nOmfq3C+0EP2iR0o0O7tgSRzIL5q1m3MxuvwCCaRYTiavAjqmUcLVsnEBMRQqS/ES//SFq0aEaAjytZu9fw09TvmXegmvh2HejesxWuRVtZNfNbvl90CJNFW3n0uNYcY+e+NDamGunWqzNtOofirva6FotaUmqdglJyd3zJh1/N53iVK227dqNtrJ9q/KzlxQ9msi+91D5/BfvWsuSjD1lZ4UOYaiR07daRBtWomD9/JjOTKrH82sdNiPOX1VzB6kUrKQjuz0WXXceQqHqsat2VtVeIM7PZQul6xXXc9dItdIsK1Ars24w4f5ynIf4UVrMKkWfe0ep0OnT2kHkam9ZlQ+vtfDZ7PJ89ZYcPsT8tDXPHvjw1ZTHr9+xh1+5tzHz+KqLqs1iwYb89hJ2ceL1BT1VdHoe2byHVM4iRr33BrI071Xv2s27ux9wdU86MdSlklzdQm5rEtm07KIruwCPjV7B173bWz3mVO6+KxGLKo7Ehkts+/5mrB17G3U8+z+ezvuWj6+LsF8/WH8ykxw3/4Ot1C5n93m0EN1rsK4jeYKS2PJuU5J0cLNAz9OWfWbtjNztWfMnzj3QgMDCdwhy1qE5bEFqIj27fFffKSuqrmu6GUltZwpZNm/D2v5RWsSHk7FrK+lUbCbvmDj5dtJrtu3ezZ+NCPro+Fp893/HxVpP9Li0uBh0VJVV4hnTjyS+3smfXTsY9MoYINxv5hUX2+tL6pOvVn4u7ley9O9V4t1LT/mJe+n4N2/duY/G0Z7huYCi1VSVYzPbONnZ6FcLrbBWkH9xDYp2V/k+/w/drtrFr1z42L/uGF/r6sHHTDrLzz3xnHJ2qpbo6NU43A5c9/CMbt+1l3/q5vPvUMDwajjNl2kYaOMHWbeV4eA3nhdemsWrLTtYuW8rk50bRur6YE1kNhPYYwdh/PEqo1yDe+mYKX3/zA5+/eCevXulP92EvseLLp7kozo+9e/dyrM7AlW98yZJdu9m9czcbp33ALa3h8MopJBVZVLBW9VFchi7uEq78eC5bV8zl8cs627vbaO0co6rPqoJsln77PdZO/Xh2yiw2aHW/bS2z3r6Xrskf8suWdNUUaqDkRA7Jh6K5/IGP+WXFWnbv3sVP37zG4D6hZB7JU8tdduri/KbdyawsI5El24sYdklrbhwRT3n1v/d7EkJcqH73DavZie/29zd2/of4f6EpOpwpqJ8sOz/DRfaRQ6TVBRPQ8hKG+dSQeegQSYezMIbH4xUWROGxo/ZGiDYf2lZk0JkoL8rlYHIetW1G0T/MG5fcoyQfTuGEyq+xXTty7GgK5RVlVJWXUqaPJGDoMzxySRjeOlfCOt/HI2O/4IOnbibcUwutTeO2N4LsFaXqSbWuzcYhtG/bgXbBWtlvtHBsri2mwuyCe8K1jLsuhjB3A+6Rw7j/mfFMnfguF4WrYHja2qQ3uBAe3Y5mpamkFaugqsrqS4+zcUsNfv36EOdXwpFdaWxODSW+U38CS0+QmpRESomNwPAoOgTZ2LJrvwrYJjV5FvxCY+l2UR+GXBSATo27bed4WrjosBSXUnHy9hJqfvQq9leoYF+iiyH82le5oUcw7uq/Vn0e5qmxH/DKHQNxN6gk6zijoDWStMZF6pEjFIRexmXNgwgoPaaWSTLHcs0069WXyoLjVFef+baMVtXQdPMJI6HbIMaM7IuXq5qIwI4MGTSAK2PdKV+zlYzaUIa/9g7/VI2jrjEVLP7pez575WVenrqY3QVlWFyNTeus/f+0Om9ah5v+VY+0f9U8U76JtBOFVBq6cFWcP0VJiSQmHaY0pDXBHToRXHuCPFUfFjVNJls47RMSuLR3VNNIlabPMGI051OWs5e5G1yJbt2XcDV8vprf5Mwi6oPiGNLCnayMVI4XVOLt54uHWxXbFsxg2g8/snDRdvQBvXnowWd554Z43E5f8EKcZxrKjrP+uzcpa9mDrm27E6O2AZ3RoBr9qgluv/OVY0AhhHAiTnv01cKNXu+KwabCiu7UsK6dtW/ErGbNoPWPP5mKziONFiuG0gxSlk/hucce5qEHHuC+e+7n2bcmMHfBVrLS88lS0621e+1BTs2RxWqjoaYK6+GlfPHmCzx8//3ce8+9PPr0S3wxcy2p25M5UVVNfl0tVnWAioxNIMCjafHqjN74+gUT5O+NQa/qx2pR+VX7WsxqP3uuPdbYIlvgH+iP/d4u6rVfqRBvqqnE3NCAZ1g0EX6O3u86d3zUeMNCVEhWB8HTa1oLnQHNWpIQUUnGiRJ2p5ep4Hic7TV+9OvTlogAV+obbBTlnGDPnE957vFHeOC++7jv/sd4c+Is1iQVUXjoKOVmiwqkVjwDwwmPjSPU8fG+gX74ernY14Hf7qOv1gtTI5XV1TQYPWgZ3x4/R8c9g6sPfv4qoPu4q4P3b+uMFpK1rwhNtap+0zfx5buv8OgDajruuY+HH3+OdyfN5+D2oxyraeCUnyn4ldbAMLr4qnHH0Czgt65d0TEtSIgLoLHyGOV1VkyFKayf+xVffPIeU35ezM7UXBpNXmo9dbUvY/u6az+rrZaNWjDaErD/q6ZN6ypkP+NtrUenGlTHdq/n01ef5bEHH+D+e+/ngUdf5PPvl5KUVUVOeaW9y4zN04eAAF+aeZ+8WuG3b7R0qsZslnrKK80kLp3Chy8+pcZzL/c98DBPvzSOhcmlHEs5Tkm+jfBOvRlx5wACLMnM/mEC/3zhCV56U83DvM0kZZfS4Fh/hDgvmYspPrKGH5emYnD3ojxPNdD3bGHngRSKymspTN7KoUOZlFXW/PFbXSGEOI85b4jXu+Dm5o9XfQEFjZZTwpUVXeMJii1uuBnc8fuzW4qcY24uBlyNehXiGjCbTJga67EYvGkeEUPnlhHUnRK4TtLOoPt6uGC1mNX7tPc0YLHp8AyK4eI2UXh7uVFvT+VNwfTMmsptjiFUW8g+vJ23G4Y/PavqGEi94d/ObKoRpfePYkC3MCqz89i4dBtHs9WyadabS9sF4uupGgdqcrWuHdrZXJNJNcjUfDXUNWD0a0ZMh570jvC09ywyqwBrcHXHxd3z1ysgDEYjeqNBfcyfzauizeAZp/eP79Eahl5uqn61s9iNTfVrsthw8QylV0JLvHw8//wHLs7wGfaz6GqZaV2+dA15LJ8+k7Vbk6j2CKVNl14Mvvombrx8EPFB/hjM2q8gnKR1DWp6ZC/TxqNNr1amCowGg717kcWiplFbD8wN1NVaVIOqGW07dsbPU9WLNtsuqiGr3Qf/TPPvKNO+wNDGZVUNO22damwwqQajK2FdLqFrTCj+eiOeUT0Z+qAK+bcOoW18NN5GM6XH97B64WwmfruCLPXZEn7Eeau6mKIj21h3pJh96xcxZeI4Xn7jHSZM+YXDx0s4+PMHTPtpHtsP5//huh4hhDifOW2I1xvc8PIOI9CSw46jx0mpdrzQWEl20gayzOp1dz+CTr9lynlA+8Eio39zEvpdx+PPvsbLr7/OG2+9xfNPP8SdY0bQr0drglTK0mtJqynF2UOZm4cXXvGDufm+sbz4atN7Xn7xeR6643ouH9GDFoE++Lu4Y7A2UHA8mbLGk+nNREVJIdk5BdSpBo8WwrUzsSqfop3c/TUEqwbAGQO6KjR6+mB0MVJXeJy8mpPnvW3UlBWRnXmc4upG+7j+wOhP714qWBYfZ++KRezOKSWs8xDahWjfX6uQrw6bgcFhdL3sHp564WVee+MN3njtRZ566G6uH34JvXrGqoaYCupqGrSz0TZtGu0j1iZLKzv9Q1WZwQVvT09czTXkpB2g8uTkWhooLVL1kFdqbxScpDWXtBpwcVf1G9OLUXc8yfOvvMHrqn5fe/lFHr//JkZe2Yd4Vb+OS4B/x97dyFxFRUUWBeVN49LkZB/nyPEKXFRDJtCUw7J1uygJ68HIx17hH089zAO3X0ev9s3w81B14ZiepqZbg3qq5lk9sodx7Sy8+k/76h+jO3qPAGLa9WbMfc/zz9fUevCmms6XnuaRe0YxpF9XWgZ6Y1DDamfu7XVkH/Pv2VQ41xnd8HHX067/9dz92Au89uabvPH6K/zz2Ue4+crhDOjdhgh/C7V1tZTr4hl87X08/dyLvPHSSzw6+mJiyWL9nKWklp3aiBbi/GKzqkaxwZfYdi2xVJ4g82gySYdTOZadR1VdI5W5qWpbzaW0qv6M24oQQpyvnDbEY3DFzz+MmFATK+YvZsnKfZRV1lFwZDezp86mWgX4wOBQvE4mqvNIYHgzfFUg1tUZ8IjuQ99Bgxl62XA6N/ei0VRCdp2FUDWctnC0g4rVpsfDx4+IZsHYCssw+Lel7UWDGDL8MhX4VUA253HUosPFZiQqJBR/QwVlW6eyIlEL1w2Up+9lyZzpTPj2F3LKVdhW8dBorKOyrJS83Drq/z+/BKp1F3HxDsHX3Yj1+Dpm7U7lRHkttQVprJn7E5++N571aRX2s9Zn4t+pO/HGLCr3r+FAdgPd+rTBy34HmUCio4JopQJ9Q7UbMZ37cfGgoQy5tAfNfWwUHksnx8MfD1UTLn8SRv9ADWTRuxIQHkawoYT81ZPYnJJFmTpYn0jazs8zZ/DljNXUnpxnLSSrsOuqGkgh4RG4VlVi9WxNXLdLGTxcBdk+3YlwLyGjuh53s7XpXvKn0euMNDao5Za5mw3bDlJUXkN13gHWrtvOumONhPXtTbRqWNXpLJR7huARGE2UvwrZJftYvnoVqfmFNBqMatK1C3PVDOgKyM8tRbs3jFam3Ta0piqPwuIqNW3NCQwIIsComj9ebek2cCCDhg3nku6RqgFXyvGsAlyNrvZvAf6U1igweKvpiKJbnDuWWleCYzvTa9BlDBnYl65tgihNTCTXrN2utZGsTfOY8PqbLE7SEd++j6qXEQzpfxGdo/xxs1ZS0/jHOxMJcb7QeTcj5uI7efedd/n440/45LPPmfj5h7z8+O10jQ+j510f8MgjdzGoc5TjdymEEMI5OG+I17ngERzL1UPaYz2ymq9eeYTbbr2RO594lW/XnCC2+wBaxzc/L2cwpmtvurbwoXLXNF58fAy33zCaUdddy50Pv8ZPy/ZRa2j6EZ4mNvtF4QGBMVw0oA/huWv49p1HuffW0YxW7xlzx328/ul8ikzaOW0XvFol0K1LWwIzdvDe0w9w+5gbueXex/hsymKOlVpx9XTDoHfBL9CVI2tn8Olrr/HJulzVUFBx8U+Cn9aH3sMnkvi4drTyqeTrlx7nrltu4uY77+eVcVPYklyGT5C/44LZMwjqQqcWerwb8zma60qfdkGoNoziTq/LL2PYiFYcmv4mY++/jZtuGMXom+7ksec/5ed1qfhGhGrR1j6af4+qr0YD0Z270KdPO9x3L+P1x+/n1pvUuvHQM3wzby3Fja4YDKoRoc2vysxWiwUvtxDa9ehNK3MyMz4fy4O3j+ZGVb833XIX/3h7GkeL6jGrsH4mNhW83QxeNBSV8/PER7nnjptV3TzCO5N3U+PZiQef6od3VATdvP0xbZrFxGdvYvToMYx56B/8uPwQ+RnFVNfUUoUr3l7euLgc54f31Xo8exs5Dd6E+PlwZOdMnvzwJxLzfejZrTPhrul8+cb93Hvjjdxw/XXccPsTvD1+AYk5tbh4eti78dhn7kxUiDdZPQiM6sCtj19B8Y5pvP/UXYwZdR2jb7yFex55mfEzdqj10A330Eh8XBoxZv7A568+wJ233cCoW2/lodc+Y3piFZaLRnBRsAHtbv5CnJdcvfGP6cLQoUPtv4UyVP0NHjqY/j07ERboRUTnQXTv3oFmIb5OfEAUQlyInGCfZcNmbqSqspzaBu3WeY5ixejpR4/rH+SZMS2IN+1l9aJlbNhdQburnuL2UZfSJvo8/Wl573iuHnMbT94/mNCavaxYupQF8+eTY2xO/ytVuBvU0d61xdJYT1VVDbV1WmcFb2K6Xc6H7z9Iz/AKkrevZMEvC9h2MJXooXfzwIieRPm7gSGKvpeP4c2X7sLt2FrWLVnA0r2luLUbxH13jyLcU4/O3YO2PeNwo4hdq1axaXsa5bXVlFXXUW86eU5Vu7jSRHVVFfUNDZj0HrTpNogHHr6XVlVb2LpyEQvXJaNPuIRHXn6enmEuf7g7zW9C6NgujJZt/Kh39addkLcatinwG6P7c/Goh3jqts7kJ29hxeIFLFm/D1tMT8Y8/Q+ub+VhPztWX1NJTXU1tY2/nfO1mhvs4bemrtHe5cRcX0N5VR0N9SZVD625+Jq7GffqbdQfXcOqhfNZnWEitOtQ7rp+kArdag6191dr9atdgWAgvHU//vnqIwxp3cDxfWtU/c5n486DeHa7kftGDyO2WYDjk3/PUl+F2apdxNuOizqFsmH9ahavP0izvn15/KW7GRGmIq5LLHeOfZwRXb0o37WcBctWszy3lO7XXE9CRAPluRkct3kR1rEdvVs1kLFjPRs37KYsSK3bV48kqOYgu5duYH9ODS0GjODOu25gYPMy1q9YxsL5v7D1uI2Ifmo6H7iF5j5N3ZRq7fNWf8o2Y8NUU6HmWdWjqiODMYJWw57gqXsG4FGbYa+jxas2kVrjy02vv8+N/dsQrt4V3mMI1z75Aj1d8ti9djnzFyxgU4mNuKtu4oeXriXC6zy98EQIO+3aFIP9Bwztf9q+x+CqthGr2kYqqVPbrv2LQXsHNiHEmakDiblWZZJq6hpM2jNxHtDZHJ2Kx44dy7hx40hNVaEwOhp39zP1/j0HbCZqC4+zasMW/DpfQ6cWfqf9sp52kd1mDuw5SkqmCb1vOO379KZTm2b4/nmq/J/Sfl1L+2WtyZMnO0oUWz2VOans2rOXlBPVmE2NhLXqRsfOXWkb5YveZqEi5xDr9pUTHhdHz/bRKmaqRVWTy56dO0lMz6e0qgGfgGDaXDSY7vHheGq3NrQz01h4jNWrV5FV2kiNRyTtO3fjku5xeNgHsVGae4Bdu/ZzrMSNZq260sHjOBuO+9G1exu6ttDCqpn66nzWr95PZKcutIyNwkunQmB5LtvWLuJIfgOV+gBad+xO/17tCfj/fA9dn7WTfUcyydbFccXFXdW0at1EHEy1FGYcZN3OREoqVKB29aZ560506dqNaD9tKAtZWxdxtNQN9/iL6JcQZH9vdW4imw+W4BocTd9uYRQf3MnKNA/69W9Hm3BfNZuN1OWnsWLNevLKGrD6t7TXQ79O0fbuOfVlGWzYcRz/qBi6dozDVavfumKS9m1n/9ETFJbV4+XrT2zXS+jZtgV+qvJ+neZTVB/bQvLRfE7YWtImpoYtmxOpN7vQtlt3unbrRJCLYz00qcbXrk3sPXSUEosnLqHBdEuIpzglA7dmLWnXpwvNLIXs27iKvWk1BMf3oFevePzJZuUv68kyxzJoWB86RAbQWJrF4YO72ZqcZ7+41TMsjjYdu9E1IRJvLZDYytm+bhcWzyBad+1KiJs25Y0cWz+fo7VBBLTpzkVx/tqAVGWretx9kIycYtXY8CAgoiU9+lxCy2DVMLPPsJUGtd4d2LCdxOOFVJvMuDdrTptOXbm4TcwFH33WrVvH6NGjOXbsGD4+9ns7ifOehcq8Y2zftQtDu+vo3twNf1fHS+K8U1FRwYwZM/D19WXMmDGOUvE/ZTVB3k4WqkwS1rIjXdo2x35YEf9TBw4c4KabbuLw4cP23H7eh3ht4n6/nmh9o88cps5XZwzx/1faYvpX/ZzPprP9WX91fKevBH9cKf7o//qZ/+k0ntW6+ndm7Cz6H3/c35WEeOdzplVfNofzl4T485FsMefC6SH+vO9O88dVxLkC/FlzNkP1/8/Z/qy/Or7T3/7vjO7/+pn/6TSe1bo6m+P6N/yPP06I88WZVn3ZHIT4v5At5nzgBH3ihRBCCCGEEKeSEC+EEEIIIYSTkRAvhBBCCCGEk5EQL4QQQgghhJOREC+EEEIIIYSTkRAvhBBCCCGEk5EQL4QQQgghhJOREC+EEEIIIYSTkRAvhBBCCCGEk5EQL4QQQgghhJOREC+EEEIIIYSTkRAvhBBCCCGEk5EQL4QQQgghhJOREC+EEEIIIYST+UOI1+v1uLu7O56Js8Fqtdr/hBB/PzqdjtraWnx8fBwlQoizScslNpsNV1dXR4kQFyaj0Wg/3pykUxuGTXswduxYxo0bx6FDh2hoaMBisdgPTuI/p9Vh+/bt2bRpE0uWLOGee+6xlwkhnJ+2LUdF/b/27BAFQiAKA/APIoLYrOscxWAzeAHBQwgGgwcQDOIpbEZNBs8x3SiIUcMyg5t201qW9f/qvBeH+d+bB6SUKIoCZVnCcRwcx3FWENFVKqIIITAMA7Ztg+/72Pf9PCW6B7UIdl0X8zyjaRp0Xadz+1uI7/seeZ7rMG9Zlm6m76hhqK5rBEGAtm1RVRUMw+BwRPQH1P0OwxBpmsK2bURRhHVdYZrmWUFEV7x+sadpwrIsOryM48hsQrej3hu1FE6SBHEcw/O8zyGeiIiIiIh+V5ZleAJNk+Ej3jR4WAAAAABJRU5ErkJggg==\" style=\"width: 753px;\" width=\"753\" height=\"602\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eOn Co-Occurrence Analysis, \u0026nbsp;Blockchain, block-chain, electric vehicle charging, authentication, internet of things (IoT), Privacy, charging (batteries), battery swapping, secondary batteries, internet of things, battery, battery management systems, electric vehicle batteries are among the most preferred keywords. It is established from co-occurrence analysis based on three dimensions of quantitative analysis, i.e., Occurrence, Cluster, and Total linkage strength, that Blockchain can manage battery swapping in electric vehicles as it works the principle of distributed.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ee) Thematic map:\u0026nbsp;\u003c/strong\u003eFigure-13 shows that the number of words, 34, played a critical role in generating the thematic map with different colors \u0026amp; sizes of clusters, and on analysis, it was found that the minimum cluster frequency per thousand documents was observed as 15, and number of labels for each cluster as 4, on authors\u0026rsquo; keywords identified from the extracted database. In the thematic map, there are four quadrants based on development degree(Y-axis) and relevance degree(X-axis): i) Emerging or declining themes, ii) Basic themes, iii) Motor themes, and iv) Niche themes. The \u003cstrong\u003eblue cluster\u003c/strong\u003e in Figure-13 shows that it has very high relevance and medium development, which includes keywords such as \u0026ldquo;charging (batteries),\u0026rdquo; \u0026ldquo;battery swapping,\u0026rdquo; \u0026ldquo;secondary batteries,\u0026rdquo; and \u0026ldquo;battery\u0026rdquo; that fall into Basic themes. Second, \u003cstrong\u003ecluster red\u003c/strong\u003e, which includes keywords such as \u0026quot;Automotive batteries,\u0026quot; \u0026quot;Centralized systems,\u0026quot; and \u0026quot;Electric vehicles (EVs),\u0026quot; falls into Niche themes and has high relevancy and low development. This means these topics have declining trends within the dataset regarding the importance or fall under niche themes, leading to specific research interests, etc. Next, \u003cstrong\u003eclusters green and Beige\u0026nbsp;\u003c/strong\u003ewhich include keywords such as \u0026ldquo;Blockchain,\u0026rdquo; \u0026ldquo;Authentication,\u0026rdquo; and \u0026ldquo;Internet of Things\u0026rdquo; that fall into Motor themes with a high of a high degree of development and a higher degree of relevance, and last \u003cstrong\u003eclusters Purple and orange,\u0026nbsp;\u003c/strong\u003ewhich include keywords such as \u0026ldquo;electric power transmission networks,\u0026rdquo; \u0026ldquo;electric vehicle charging,\u0026rdquo; \u0026ldquo; charging station\u0026rdquo; that fall into Declining/ Emerging themes with a low of a degree of development and low degree of relevance.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFrom the above observation, the clusters green and beige fall under the Motor theme, which means much research has already happened, and a corpus of research papers or journals is available in various data sources. Secondly, cluster blue falls under the top quadrant of the Basic theme, has the highest relevance, and is moving towards high development, which indicates that much research is happening in this domain and showing a trend that it will move from a Basic theme to a Motor them much time and the cluster is well connected with subject research area. The cluster red falls under niche themes and has high relevance, but development is low, and more focus is required in research on this cluster, which shows a promising trend that it will move from niche to motor theme.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ef) Authors collaboration network:\u0026nbsp;\u003c/strong\u003eAuthors collaboration is another graphical representation that depicts the collaboration of an author with one or multiple authors and provides insight into the structure and dynamics of collaborations among researchers. Forty-eight authors collaborated, which is represented by the node. There are 10 clusters in the collaboration network, and Cluster 10 has the minimum number of two nodes, whereas Cluster 2 has the maximum number of nodes, i.e., 8.\u003c/p\u003e\n\u003cp\u003eAnother essential element is \u0026ldquo;Betweenness Centrality,\u0026rdquo; which measures how often one author plays the role of a bridge between other authors. In the author\u0026rsquo;s collaboration network, Authors \u0026quot;Li x\u0026quot;(19) in Cluster 1 and \u0026quot;Wu y\u0026quot;(28) in Cluster 2 have higher betweenness scores and play a significant role in connecting different parts of the collaboration network. The second element in the author\u0026rsquo;s collaboration network is \u0026ldquo;Closeness Centrality,\u0026rdquo; which measures the frequency of the interaction between one author and all other authors. Authors \u0026quot;Hua s\u0026quot;(11) in Cluster 4 and \u0026quot;Abouyoussef m\u0026quot;(1) in Cluster 10 have higher closeness scores, are located centrally within their respective clusters, and, due to closeness scores, help in efficient communication with other authors. The last leg is \u0026ldquo;PageRank centrality,\u0026rdquo; which represents the quality and number of collaborations based on the author. In this network, \u0026quot;Wu y\u0026quot;(28) in Cluster 2 and \u0026quot;Hua s\u0026quot;(11) in Cluster 4 Authors have higher PageRank scores, are considered more influential, and significantly impact the collaboration of their clusters.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation of the Multi-Level Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe interpretation of multi-level analysis emphasizes that each approach played a vital role. The constructive outcome was observed by combining Pareto Analysis, Affinity Diagram, Bibliometric Analysis, and Quality Function Deployment (QFD) in the role of blockchain technology in EV battery swapping. Additionally, it was observed that all approaches complimented each other and formed a unique integrated framework.\u003c/p\u003e\n\u003cp\u003ePareto Analysis served as the foundation based on the 80/20 rule for prioritizing important elements. It also helps spotlight key research themes by recognizing that 80% of the focus areas stem from 20% of the keywords and identifying the key features of blockchain technology and their applications for efficient management in EV battery swapping.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLater, categorizing and organizing key themes with the help of the Affinity Diagram helped to establish relationships, logical connections, and structure for further analysis in the affiliation of blockchain.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eQFD (House of Quality) translated the Voice of the Customer to Voice of the Process ie, insights into practical, relative comparison, ie industry-relevant solutions and at top correlation with technical requirements, which are important for the customer point of\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBibliometric Analysis supported these themes in different aspects like analyzing research impact, global trends, author co-collaborations, and publication trends, and comprehensive thematic analysis to understand i) Emerging or declining themes, ii) Basic themes, iii) Motor themes, and iv) Niche themes. Ensuring that the prioritization themes are aligned with global research patterns.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCombining the outcome of all four approaches, a comprehensive, holistic view represents that blockchain technology can efficiently manage the battery-swapping process in the digital era. A data-driven approach embraces researchers, policymakers, and the implementation of organizational strategies in a competitive environment.\u003c/p\u003e\n\u003cp\u003eTable 4: Combined analysis\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 114px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTool\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 180px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFunction\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 174px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHow It Supports Others\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 156px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCommon Outcome\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 114px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePareto Analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 180px;\"\u003e\n \u003cp\u003eUsing the 80/20 rule. It helps to identify the most frequently used keywords and key research themes\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 174px;\"\u003e\n \u003cp\u003eWorked as a foundation and played a critical role in the identification of priority focus for Affinity Diagram, Bibliometric, and QFD analysis.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 156px;\"\u003e\n \u003cp\u003eEmphasizes critical factors related to blockchain for efficient management EV battery-swapping process\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 114px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAffinity Diagram\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 180px;\"\u003e\n \u003cp\u003eMaps and develop correlations with research themes, papers, and keywords.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 174px;\"\u003e\n \u003cp\u003eProvided data organized for Bibliometric and QFD analysis.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 156px;\"\u003e\n \u003cp\u003eIdentifies features of blockchain used in the battery-swapping process.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 114px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eQFD (House of Quality)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 180px;\"\u003e\n \u003cp\u003eConverts Voice of Customer (VOC) to Voice of process(VOP) and actionable technical solutions.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 174px;\"\u003e\n \u003cp\u003eUses insights from Pareto, Affinity, and Bibliometric analysis.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 156px;\"\u003e\n \u003cp\u003ePrioritizes critical aspects of blockchain features for EV battery swapping.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 114px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBibliometric Analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 180px;\"\u003e\n \u003cp\u003eAnalyzes thematic analysis based on emerging themes, Co-author collaborations, global trends, and research impact\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 174px;\"\u003e\n \u003cp\u003eHelps to identify Critical To Quality(CTQ) from a customer point of view and prioritization for QFD diagram.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 156px;\"\u003e\n \u003cp\u003eIdentifies global trends and gaps in Electric vehicles and blockchain research.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"6. Challenges in Battery swapping process","content":"\u003cp\u003eIn the literature review, the author\u0026nbsp;(Zhang et al., 2024)discussed the concept, architectures, and implementations of an EV battery-swapping system, highlighting the potential benefits and also highlighted challenges associated with battery-swapping in electric vehicles (EVs) and for successful deployment and adoption of the same. Much collaboration is required among stakeholders, technology partners, and regulators for standardized protocols, confidentiality, robust security measures, and simplified solutions.\u003c/p\u003e\n\u003cp\u003eSome of the challenges are explicated below (Table 5). \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 5: Challenges in Battery Swapping Process \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eS.no\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eChallenges\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDetail\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eInteroperability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 468px;\"\u003e\n \u003cp\u003eA standard protocol and interface should be required for seamless battery swapping for different EV models and battery types. Blockchain works on the principle of the distributed ledger and can help to manage interoperability through close collaboration between industry, owners, and standard protocol.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eScalability\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003eAs more and more owners are adopting electric vehicles and generating confidence that battery-swapping solutions are cost-effective, as volumes are increasing, the blockchain architecture should be scalable to manage the capacity of transactions with an effective consensus mechanism.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eSecurity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003eIn a blockchain network, security is critical in managing sensitive information of owners, battery vitals, payment records, and payment instrument details to avoid any cyberattack and fraud in the battery swapping process. Confidentiality and security measures are essential to create trust in the network, and transactions are encrypted and authenticated with the help of blockchain principles.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eData Privacy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003eIn the battery swapping process, data privacy of EV owners, Geo-location, and usage patterns of battery is fundamentally essential. A thorough due diligence is required while designing a blockchain network to encrypt decentralized data used in the network.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eRegulatory Compliance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003eTo comply with regulatory requirements for the effective implementation of the battery-swapping process, such as the Digital Personal Data Protection Act, and comply with guidelines, the owner\u0026rsquo;s financial credentials are essential. To ensure transparency, traceability, accountability,\u0026nbsp;and\u0026nbsp;compliance with these regulations, the design of blockchain solutions must be robust.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eCost\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003eBlockchain is a nasty technology, and battery swapping is a trending topic for research, which may involve substantial initial setup costs and high operating costs for the maintenance and management of a complete network. A full cost-benefit analysis is required for a long-term strategy to understand efficiency, productivity, and transparency and to outweigh these costs.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eUser Acceptance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 468px;\"\u003e\n \u003cp\u003eFor the effective adoption of the battery-swapping process in electric vehicles, it is a challenge for owners and other stakeholders to understand the benefits of blockchain-based processes. More collaboration is required with all stakeholders to understand the benefits of technology (blockchain), which has the potential to secure security, interoperability, traceability, and transparency in the battery-swapping process.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eSource- Author\u0026rsquo;s own creation\u003c/p\u003e"},{"header":"7. Conclusion","content":"\u003cp\u003eIn conclusion, blockchain technology plays a significant role in effectively managing battery swapping in electric vehicles and can enhance trust among stakeholders\u0026rsquo; efficiency, traceability, transparency, and security(Florea, 2020). This detailed sketch of the literature review gives insight into leveraging blockchain for effective battery swapping, key trending topics, thematic analysis, future direction, and limitations in existing research.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAdditionally, a multi-level analytical approach helps the researcher understand key features of blockchain technology in enhancing the efficiency of the battery-swapping process for electric vehicles (EVs). A comprehensive insight into Pareto Analysis, Affinity Diagram, Bibliometric Analysis, and Quality Function Deployment (QFD) established a structured framework to understand research trends and unsurfaced key challenges and helped prioritize blockchain applications.\u003c/p\u003e\n\u003cp\u003eA small set of key research themes based on keywords such as security, traceability, and transaction efficiency were revealed by \u003cstrong\u003ePareto Analysis\u003c/strong\u003e, which led the converse on blockchain-enabled battery swapping.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe \u003cstrong\u003eAffinity Diagram\u003c/strong\u003e further emphasizes relationships and established clusters of these themes, suggesting insight into industry expectations and common concerns related to the deployment of technology\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQFD analysis\u003c/strong\u003e further drew these insights into customer expectations and practical approaches and established a structural relationship between customer requirement(What) and key feature technology-driven solutions(CTQ), also helping to bridge the gap between theoretical research and the real-world EV battery-swapping process.\u003c/p\u003e\n\u003cp\u003eFinally, The bibliometric analysis on battery swapping in electric vehicles using blockchain\u0026nbsp;emphasized numerical analysis and graphical representation of the outcome of data by combining all research papers on the relevant subject area to establish a relationship among data.\u0026nbsp;The analysis covers a range of key aspects of research, keyword analysis, citation analysis, co-authorship analysis, and global publication collaboration analysis, as well as four quadrants of thematic analysis about the transformation of basic or niche themes to motor themes. The analysis also highlighted the collaborative approach amongst authors and the interdisciplinary nature of research on trending topics.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe Citation analysis highlighted that few papers have a high number of citations, positive impact, and influence on the\u0026nbsp;academic community(Afjal, 2023). These papers play a critical role in building a robust foundation and deep understanding of battery swapping in electric vehicles using\u0026nbsp;blockchain, shaping the future direction of research. The keyword analysis in Pareto analysis and bibliometric analysis reveals the common themes with the occurrence of keywords in various papers and trending topics in research on Battery Swapping in electric vehicles using blockchain. The key themes identified in the keywords analysis are\u0026nbsp;Electric vehicles, Charging(batteries), Blockchain, Battery swapping, Battery, IOT, and others are efficiency, security, transparency, scalability, and emphasizing leverage of blockchain technology for effective management battery swapping process(Al-Saif et al., 2021). However, in the literature review, a few authors highlighted some of the challenges ie user acceptability, interoperability, scalability, privacy, confidentiality, and regulatory frameworks, that need to be addressed to understand the complete perspective of blockchain on the subject topic(Chen et al., 2024). It will also help the wider adoption of electric vehicles and give owners confidence about the anxiety of range, charging infrastructure, and charging waiting time.\u003c/p\u003e\n\u003cp\u003eThe comprehensive approach emphasized that blockchain technology has shown promising outcomes in enhancing transparency, operational efficiency, data security, and secure payment transactions in EV battery swapping. This integrated approach strengthens the comprehensive literature review process, and this also helps future research and provides a strategic direction in the adoption of blockchain technology for the evolving EV ecosystem and a viable solution.\u003c/p\u003e"},{"header":"8. Limitations and Future Directions","content":"\u003cp\u003eAlthough there are some challenges and uncertainties, the literature emphasizes that blockchain technology can potentially transform the battery-swapping process in the electric vehicles industry. Researchers have highlighted that interdisciplinary collaborations amongst stakeholders will be able to address regulatory requirements with robust technical aspects, as well as more trust and secure peer-to-peer transactions in the network. Future research directions blockchain technology can be used for peer-to-peer energy trading and effective management of energy to minimize the leakage in the system, and also embedding emerging technologies like the Internet of Things (IoT), Machine learning(ML) and artificial intelligence (AI) can enhance the effectiveness of battery swapping services.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eCompeting interests\u003c/h2\u003e \u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.K. is a research scholar conducting a study on leveraging blockchain technology in the automobile supply chain management (SCM) domain. During an extensive literature review on blockchain in SCM, A.K. observed a sudden surge in electric vehicle (EV) adoption in India and identified three inherent challenges: range anxiety, long charging time, and inadequate charging infrastructure.Dr. J.S. guided the research around the innovative idea of battery swapping in EVs using blockchain technology. Given their background as mechanical engineers with experience in factory environments, A.K. and Dr. J.S. collaboratively approached the study systematically, including Pareto analysis, affinity diagrams, and by capturing the Voice of the Customer (VoC).Dr. J.S. provided strategic direction in the data collection process and the development of the Quality Function Deployment (QFD) diagram. A.K. further conducted a bibliometric analysis using the R software and the Bibliometrix package. The final manuscript was critically reviewed and approved by Dr. J.S.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAda, N., Ethirajan, M., Kumar, A., KEk, V., Nadeem, S. P., Kazancoglu, Y., \u0026amp; Kandasamy, J. (2021). Blockchain technology for enhancing traceability and efficiency in automobile supply chain\u0026mdash;A case study. \u003cem\u003eSustainability\u003c/em\u003e, \u003cem\u003e13\u003c/em\u003e(24), 13667.\u003c/li\u003e\n \u003cli\u003eAfjal, M. (2023). Bridging the financial divide: A bibliometric analysis on the role of digital financial services within FinTech in enhancing financial inclusion and economic development. \u003cem\u003eHumanities and Social Sciences Communications\u003c/em\u003e, \u003cem\u003e10\u003c/em\u003e(1). Scopus. https://doi.org/10.1057/s41599-023-02086-y\u003c/li\u003e\n \u003cli\u003eAl-Saif, N., Ahmad, R. W., Salah, K., Yaqoob, I., Jayaraman, R., \u0026amp; Omar, M. (2021). 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Global energy outlook 2019: the next generation of energy.\u0026nbsp;Resources for the Future,\u0026nbsp;1(8), 1-37.\u003c/li\u003e\n \u003cli\u003eSharma, A.: Scooter Story: Asia\u0026rsquo;s Two-Wheel EV Transition\u003c/li\u003e\n \u003cli\u003eZhang, N., Zhi, T., \u0026amp; Zhang, Y. (2024). Blockchain-enabled electric vehicle orderly charging optimization. \u003cem\u003eJournal of the Operational Research Society\u003c/em\u003e, \u003cem\u003e75\u003c/em\u003e(12), 2404\u0026ndash;2420. https://doi.org/10.1080/01605682.2024.2320867\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","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":"Blockchain, Battery Swapping, Electric Vehicles, Smart Contracts, Decarbonization Decentralized, Digitalization, Pareto analysis, Affinity diagram, Quality Function Deployment (QFD), Bibliometric Analysis","lastPublishedDoi":"10.21203/rs.3.rs-6498261/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6498261/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe transformation of energy replenishment by the rapid adoption of electric vehicles (EVs) as a sustainable alternative to traditional internal combustion engine vehicles has created new challenges. Conventional charging methods are often inefficient due to long charging times, range anxiety, and the uneven distribution of charging infrastructure. Battery swapping has emerged as a promising solution, offering reduced downtime, optimized battery lifecycle management, and enhanced energy efficiency. However, the successful implementation of battery swapping faces multiple challenges, including transaction security, battery ownership traceability, and interoperability among EV manufacturers.\u003c/p\u003e \u003cp\u003eBlockchain technology has gained significant attention as a transformative tool to address these challenges by providing a decentralized, transparent, and tamper-proof framework for managing battery swaps. By leveraging smart contracts, blockchain can automate battery exchange transactions, ensure data integrity, enhance battery tracking, and establish trust among stakeholders in the EV ecosystem. Despite its potential, research on blockchain-enabled battery swapping remains fragmented, necessitating a comprehensive review of existing studies.\u003c/p\u003e \u003cp\u003eThis study conducts a multi-level literature review using Pareto, Affinity, QFD, and Bibliometric analysis to identify the most frequently used keywords, cross relationship, and QFD diagram to understand customer requirements and Critical to the Quality (CTQ) and lastly to examine the research trends, key contributions, and future directions in blockchain applications for battery swapping in EVs. The analysis identifies influential publications, emerging themes, and technological advancements, offering valuable insights for researchers, policymakers, and industry stakeholders. The findings highlight the potential of blockchain to revolutionize EV battery management and pave the way for more secure, efficient, and scalable battery-swapping networks.\u003c/p\u003e","manuscriptTitle":"Blockchain-Enabled Battery Swapping in EVs: Multidimensional insights from Pareto, Affinity Diagram, QFD \u0026amp; Bibliometric analysis.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-09 11:07:58","doi":"10.21203/rs.3.rs-6498261/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":"4d213890-b8f3-44d9-964e-6153209fd4ab","owner":[],"postedDate":"May 9th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-06-17T08:39:50+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-09 11:07:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6498261","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6498261","identity":"rs-6498261","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}