Factors Influencing the Prevention of Malaria in Pregnancy in Zambia; a Case of Shiwang'andu District.

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Edward Sikazwe This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7283905/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Background: Malaria remains endemic in Zambia, carrying about 2% of the global malaria burden (MIS, 2019). Malaria is preventable, treated and can be eliminated. Zambia launched a National Malaria Elimination Strategic Plan 2017-2021, with the aim of eliminating malaria completely. However, a lot of factors have influenced this strategy, and this study wishes to explore such factors in Shiwang’andu district of Muchinga province. Therefore, the aim of this study was to determine the effectiveness of the measures put in place to prevent malaria in pregnancy in Shiwang'andu District. Methodology : a cross-sectional study was done using convergent mixed method at 5 randomly selected health facilities in Shiwang’andu district. 323 pregnant women were selected using systematic random sampling together with 10 health workers selected from the health facilities. Quantitative data was collected from the pregnant women using a pre-designed self-administered questionnaire and a semi structured interview guide during focused group discussions. Qualitative data was collected from healthcare workers using semi structured interview guide during in-depth interview. Quantitative data collected was entered and analyzed using STATA whereas qualitative data was analyzed using thematic code analysis. Results: There were fluctuations in the prevalence trends of malaria in pregnancy from 2017-2024 in Shiwang’andu district with the highest being 14% in 2017 and 2020 and the lowest being 9% in 2022. However, the results show an upward trend in the last 3 years from 9% in 2022 to 14% in 2024. The pregnant women had high knowledge about malaria in pregnancy (61.3%). However, gaps in knowledge still exist on the complications and the misconceptions on the cause. Qualitative data showed that health care workers demonstrated a solid understanding of malaria in pregnancy and recognized serious complications. Most facilities reported having preventive strategies in place, including the administration of Fansidar (IPTp), distribution of insecticide-treated nets (ITNs), and periodic indoor residual spraying (IRS) when supported by the district. Challenges included lack of clean drinking water or cups, stock-outs of Fansidar, ITNs were not always available, IRS was irregular. Quantitative data further showed that majority (55.7%) of the respondents received more than 3 doses of Fansidar. Majority (57.3%) of the women agreed that the Fansidar was given under observation (DOT). Only a few (31.6%) received insecticide treated mosquito nets despite majority (58.8%) of the respondents sleeping under a mosquito net. Further, few houses (28.9%) had been sprayed. There was a relationship between receiving more than 3 doses of IPTp and knowledge, and between IPTp and not having malaria. Conclusion: Pregnant women and healthcare workers demonstrated good knowledge about malaria despite having gaps in knowledge and some misconceptions. Systematic challenges hindered the effective implementation of the preventive measures. There is need for strengthened health system support, improved community education, and consistent implementation of malaria prevention strategies in pregnancy. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 CHAPTER ONE: INTRODUCTION 1.1 BACKGROUND Malaria remains one of the most formidable public health challenges globally, particularly in sub-Saharan Africa, where it significantly burdens health systems, impedes socioeconomic development, and threatens the health of vulnerable populations, especially pregnant women and children (World Health Organization, 2021 ). Despite various global initiatives aimed at combatting malaria, such as the malaria eradication efforts under the Global Technical Strategy for Malaria 2016–2030, progress has been inconsistent (United Nations, 2015 ). Funding disparities, inadequate healthcare infrastructure, and resistance to treatment have compounded the challenges of securing the objectives set out in Sustainable Development Goal 3 (SDG 3), which aims to ensure healthy lives and promote well-being for all ages (Chanda et al., 2019 ). Moreover, community misconceptions about malaria transmission and prevention methods hinder the successful implementation of interventions like insecticide-treated nets (ITNs) and intermittent preventive treatment (IPTp), leading to persistent transmission rates (Kibusi et al., 2021 ). These global challenges underscore the urgent need for comprehensive strategies that align with local contexts and cultural practices to combat malaria effectively. Regionally, in Southern Africa, the challenges of malaria prevention in pregnancy mirror those seen globally, yet they are further intensified by specific local factors, including climatic variations and the socio-economic context (Eisen & Moore, 2019). In Zambia, for instance, the rise in malaria cases can be attributed to fluctuating rainfall patterns that influence mosquito breeding, while inequitable healthcare access poses additional barriers to timely interventions for pregnant women (Malaria Consortium, 2018 ). Even with regional partnerships aiming to increase IPTp uptake among pregnant women, socioeconomic factors, such as poverty and education levels, heavily influence health-seeking behaviors and access to prevention measures (Hamer et al., 2020 ). This intersection of complex factors challenges the effective localization of SDG 3 initiatives in the region and highlights the persistent gap in understanding how these local practices can be harmonized with global strategies. Consequently, addressing these challenges requires tailored interventions that consider local cultural beliefs and improve healthcare delivery systems to enhance the effectiveness of malaria prevention efforts among pregnant women. Despite the implementation of Zambia’s National Malaria Elimination Strategic Plan and the availability of proven interventions such as IPTp and insecticide-treated nets, malaria in pregnancy continues to pose a significant health challenge in districts like Shiwang’andu. This persistent burden suggests that contextual factors may be undermining the effectiveness of existing strategies. Therefore, this study seeks to examine the prevalence and underlying factors influencing malaria prevention in pregnancy in Shiwang’andu District. The findings will provide valuable insights to inform more targeted, culturally appropriate, and evidence-based interventions to support malaria elimination efforts and improve maternal and fetal health outcomes. 1.2 PROBLEM STATEMENT/RESEARCH GAP Malaria remains a major public health concern in Zambia, accounting for nearly 30% of outpatient visits and 17% of hospital admissions annually (Zambia MoH, 2019). Among pregnant women, the risk is even more severe due to pregnancy-induced immunosuppression, leading to increased susceptibility to maternal anemia, low birth weight, stillbirths, and maternal deaths. According to the 2019 Malaria Indicator Survey, malaria in pregnancy contributes significantly to poor maternal and neonatal outcomes, particularly in rural and underserved districts such as Shiwang’andu in Muchinga Province. However, no published data quantify malaria prevalence in pregnancy or IPTp uptake trends in Shiwang’andu district. Despite the rollout of Zambia’s National Malaria Elimination Strategic Plan (2017–2021), which prioritized interventions like IPTp with Fansidar and the distribution of insecticide-treated nets (ITNs), malaria in pregnancy persists as a challenge. National data suggest only 40–60% of eligible pregnant women receive the recommended three or more doses of IPTp, with rural areas often falling below this average. However, no published data quantify malaria prevalence in pregnancy or IPTp uptake trends in Shiwang’andu district ((NMCC), 2012). Further, little is known about how well these interventions are being implemented and received at the local level, particularly in Shiwang’andu district. Existing studies provide national or provincial overviews but fail to explore localized social, cultural, and health system factors influencing uptake. This lack of context-specific evidence limits the effectiveness of tailored interventions, creating a pressing need to understand both the prevalence and local barriers to malaria prevention in pregnancy in this district. 1.3 JUSTIFICATION OF THE STUDY This study is justified by the need to generate local evidence that reflects both the prevalence trends of malaria in pregnancy and the challenges affecting prevention efforts. By triangulating facility and district-based data with insights from pregnant women and healthcare providers, this research will provide a significant understanding of the factors influencing malaria prevention in this context. While national-level data on malaria prevention in pregnancy exist, there remains a lack of localized research exploring the effectiveness and uptake of these interventions in rural districts such as Shiwang’andu. Most existing studies generalize findings at provincial or national levels, overlooking the sociocultural and health system dynamics that may influence intervention outcomes at the district level. This study is therefore justified by the need to fill this gap by generating district-specific evidence on the prevalence of malaria in pregnancy and the contextual factors influencing prevention. The research will contribute to the academic understanding of localized implementation challenges in malaria control and add to the growing body of literature on maternal health. 1.4 OBJECTIVES 1.4.1 General objective To determine the effectiveness of the measures put in place to prevent malaria in pregnancy in Shiwang'andu District. 1.4.2 Specific objectives To determine the trends in prevalence of malaria in pregnancy in Shiwang'andu district from 2017 to 2024. To assess the levels of knowledge among women on the dangers of malaria in pregnancy. To assess the level of knowledge among health care workers on the prevention of malaria in pregnancy To determine the current practices on case management of malaria in pregnancy 1.5 RESEARCH QUESTIONS What have been the trends in the prevalence of malaria in pregnancy in Shiwang'andu District from 2017 to 2024? What is the level of knowledge among health care staffs on the prevention of malaria in pregnancy? What is the level of knowledge among pregnant women on dangers of malaria in pregnancy? What are the current practices in case management of malaria in pregnancy in Shiwang'andu district? 1.6 STUDY SIGNIFICANCE As far as my knowledge, there is little or no research done on such topics in this part of the country. There is a data gap to assess the effectiveness of the measures put in place to eliminate malaria in Zambia. Hence, this study will contribute and help to narrow the information gap that exists. It will also help inform policy makers on the effectiveness of the malaria elimination strategic plan 1.7 CONCEPTUAL FRAMEWORK The conceptual framework below illustrates the hypothesized relationship between individual, health system, and sociocultural factors and the prevalence and burden of malaria in pregnancy in Shiwang’andu District. Individual factors such as knowledge levels, preventive behaviors, and sociodemographic characteristics may influence a pregnant woman’s likelihood of experiencing malaria. Health system factors, including drug availability, health worker training, and service delivery practices, further affect the success of preventive interventions. Additionally, cultural beliefs and practices shape perceptions and behaviors related to malaria prevention. Together, these factors impact both the observed prevalence of malaria and the perceived burden of the disease, including health outcomes and social consequences. CHAPTER TWO: LITERATURE REVIEW 2.1 GLOBAL PERSPECTIVE OF THE CONCEPTUAL FRAMEWORK Globally, malaria remains a major public health challenge, particularly in sub-Saharan Africa, where the burden of the disease heavily affects pregnant women and their unborn children. The World Health Organization (WHO, 2021) emphasizes that malaria in pregnancy leads to severe health consequences, including maternal anemia, low birth weight, and heightened infant mortality rates. Initiatives like the Global Malaria Strategy (WHO, 2015) and the Roll Back Malaria partnership (RBM Partnership to End Malaria, 2018) demonstrate a commitment to combatting the disease through effective prevention measures, which include insecticide-treated nets (ITNs), intermittent preventive treatment (IPTp), and health education. These interventions form part of a broader global framework aimed at reducing malaria morbidity and mortality, ultimately striving to achieve Sustainable Development Goal 3, which focuses on ensuring healthy lives and promoting well-being for all at all ages (United Nations, 2015). Despite the advances in malaria control strategies, the global response remains inconsistent due to various factors, including funding variability and local health system capacities (Chanda et al., 2019). In regions such as Zambia, the implementation of these global strategies often confronts challenges such as inadequate health infrastructure, supply chain issues, and cultural misconceptions surrounding malaria prevention methods (Hamer et al., 2020). Thus, while there is a global commitment to reducing the incidence of malaria, the effectiveness of these strategies is contingent on adaptation to local contexts. Tackling such multifaceted issues necessitates collaborative efforts between international organizations and local health agencies to create interventions that are culturally appropriate and feasible within the constraints of Zambia’s healthcare system. 2.2 REGIONAL PERSPECTIVE AND ISSUES WITHIN THE THEMATIC AREA In the Southern African region, malaria prevention in pregnancy is particularly pertinent given the varying prevalence of the disease across nations and its implications for maternal and child health. Zambia faces significant challenges, including rising rates of malaria transmission in certain districts due to climate variability and increased vector density (Eisen & Moore, 2019). The introduction of IPTp for pregnant women has been promoted regionally, but uptake remains inconsistent due to both systemic health barriers and sociocultural factors (Malaria Consortium, 2018). Regional health partnerships have sought to enhance access to these treatments, yet issues such as inadequate healthcare facilities and a shortage of trained healthcare personnel continue to persist (WHO, 2018). The regional framework addressing malaria highlights the importance of tailored strategies that can be adjusted to the unique needs of different populations, particularly vulnerable groups like pregnant women (Azizi, 2018). Another regional dimension is the need for effective communication strategies to raise awareness about malaria prevention in pregnancy. Educational campaigns that address cultural beliefs and practices play a crucial role in enhancing community participation and buy-in for preventive measures such as the use of ITNs and IPTp (Kibusi et al., 2021). Despite existing frameworks that encourage such approaches, misconceptions about malaria transmission and prevention methods often inhibit community acceptance (Chanda et al., 2019). A more coordinated regional approach, incorporating local insights and traditions, can significantly improve the effectiveness of malaria prevention efforts in Zambia. By fostering collaboration between regional health organizations and local communities, interventions can be better aligned with the socio-cultural realities of the populations they aim to serve. 2.3 LOCAL PERSPECTIVE ON REPORTED ISSUES At the local level in Zambia, the realities of malaria prevention in pregnancy manifest in unique challenges for pregnant women. Many expectant mothers may lack access to timely healthcare services, limiting their ability to receive crucial interventions such as IPTp and the use of ITNs (Hamer et al., 2020). For instance, transportation barriers to health facilities and a lack of awareness about the importance of these preventive measures often result in low coverage rates. Additionally, socioeconomic factors, including poverty and education levels, heavily influence the ability of pregnant women to access and utilize malaria prevention strategies effectively (Zambia Ministry of Health, 2019). Addressing these barriers requires a comprehensive understanding of local contexts and active engagement with community leaders to foster a culture that prioritizes maternal health. Further complicating the local perspective is the prevalence of cultural beliefs and practices that may conflict with modern malaria prevention strategies(Freddie Masaninga, 2016). Some communities still hold misconceptions about the disease and its transmission, leading to resistance against using ITNs or receiving preventive treatments (Kibusi et al., 2021). Furthermore, local health campaigns sometimes fail to engage effectively with these beliefs, resulting in a gap between recommended practices and community behavior. To address these local challenges, tailored awareness programs that integrate traditional practices and local knowledge can enhance acceptability and accessibility to malaria prevention measures. By empowering community members and fostering a collaborative environment between healthcare providers and local populations, Zambia can improve its malaria prevention efforts among pregnant women, ultimately reducing maternal and infant morbidity and mortality rates. Table 2.1 Summary and Critique of Scholarly Work Section Summary Critique 2.1 Global Perspective Discusses the global challenges of malaria in pregnancy, highlighting international strategies like IPTp and ITNs that aim to reduce incidence. While acknowledging global strategies, it underplays the bureaucratic and funding challenges that impact local implementation. 2.2 Regional Perspective Focuses on the unique challenges of malaria prevention in Zambia, emphasizing inconsistent treatment uptake and the need for culturally appropriate strategies. Critiques include a lack of deeper analysis into regional collaboration and shared resources that could enhance effectiveness. 2.3 Local Perspective Explores barriers faced by pregnant women in accessing malaria prevention, focusing on cultural beliefs, socioeconomic status, and healthcare access. It could further elaborate on successful local initiatives and how they have effectively integrated traditional practices with modern medicine. CHAPTER THREE: METHODOLOGY 3.1 RESEARCH DESIGN This study employed a convergent mixed-methods cross-sectional design, integrating both quantitative and qualitative approaches to comprehensively explore factors influencing malaria prevention in pregnancy in Shiwang’andu District. A convergent mixed-methods approach was chosen because it allowed for the simultaneous collection and independent analysis of both quantitative and qualitative data. This was essential for merging statistical trends with lived experiences and contextual realities. The quantitative component involved the collection and analysis of retrospective facility-based data and structured survey responses from pregnant women to estimate the prevalence of malaria in pregnancy from 2017 to 2024, and to assess knowledge and prevention practices. The qualitative component consisted of in-depth interviews with healthcare workers and focus group discussions with pregnant women to explore perceptions, experiences, and sociocultural factors that influenced the uptake of malaria prevention interventions. This design enabled data triangulation, enhancing the validity and depth of the findings by capturing both measurable trends and contextual insights. 3.2 STUDY SITE This This study was conducted in Shiwang’andu District, located in Muchinga Province in the northeastern part of Zambia. The district is predominantly rural, with scattered settlements and limited access to health facilities. It had a population that relied heavily on subsistence farming and was served by a limited number of health centers, including both government and mission-run facilities. Shiwang’andu was classified as a high malaria transmission zone, with seasonal peaks during the rainy season. Despite national malaria control efforts, including the roll-out of the National Malaria Elimination Strategic Plan (2017-2021), malaria remained a leading cause of morbidity in the district (Annual Statistical Health Report, 2024). Data were collected from selected sites including the Shiwang’andu District Health Office, Matumbo Health Post, Kalalantekwe Rural Health Center, Mulanga Rural Health Center, Lwanya Rural Health Post, and Ilondola Rural Health Center, which were purposively chosen based on malaria case load, accessibility, and representativeness of the district’s population. These sites provided both facility- and district-based records, and access to pregnant women and healthcare providers for interviews and surveys. 3.3 TARGET POPULATION The target population for this study consisted of two main groups: Pregnant women residing in Shiwang’andu District who were attending antenatal care (ANC) services at selected health facilities. Healthcare workers involved in the provision of maternal and malaria-related services in the same facilities. These groups were selected because they were directly involved in the prevention and management of malaria in pregnancy. Pregnant women provided critical information on their knowledge, experiences, and use of malaria prevention interventions such as intermittent preventive treatment in pregnancy (IPTp) and insecticide-treated nets (ITNs). Healthcare workers, on the other hand, offered valuable insights into the availability of malaria control commodities, service delivery practices, and systemic barriers to effective prevention. 3.4 SAMPLE SIZE SAMPLE SIZE CALCULATION FOR QUANTITATIVE SURVEY The following is the formula used to calculate the sample size of the pregnant women that participated in the study n= Where, n = required sample size Z = Z-score for desired confidence level (1.96 for 95% CI) p = estimated prevalence of malaria in pregnancy: 30% (0.3) based on studies in rural Zambia like Nchelenge District and similar settings (Chaponda et al., 2015) d = margin of error 5% (0.05) Therefore, n = n= 3.8416 * 0.30 * 0.70 0.0025 n= 0.8067 0.0025 n = 323 pregnant women The total sample size of 323 pregnant women was distributed proportionally across the five selected health facilities based on each facility’s average annual ANC attendance. SAMPLE SIZE FOR QUALITATIVE SURVEY For the qualitative component, a purposive sample of participants was selected to ensure representation of diverse experiences and perspectives. A total of four (4) focus group discussions (FGDs) were conducted with pregnant women attending ANC services across different health facility catchment areas. Each FGD consisted of 6-8 participants, selected to reflect variation in age, parity, and health-seeking behavior. In addition, 8 to 10 in-depth interviews (IDIs) were conducted with healthcare workers directly involved in maternal and malaria-related services. These included nurses and midwives. The sample size was guided by the principle of data saturation, where interviews continued until no new themes emerge. This approach is sufficient to capture a wide range of views on the barriers to malaria prevention in pregnancy. 3.5 SAMPLING TECHNIQUES QUANTITATIVE COMPONENT The study employed a systematic random sampling technique to recruit pregnant women attending antenatal care (ANC) at the five purposively pre-selected rural health facilities: Matumbo Health Post, Kalalantekwe Rural Health Center, Mulanga Rural Health Center, Lwanya Rural Health Post, and Ilondola Rural Health Center. These facilities were selected based on their geographic distribution and ANC caseloads. The Shiwang’andu District Health Office was used to collect district-level data on the prevalence of malaria in pregnancy. At each facility, the required number of participants (based on proportional allocation) was drawn from the ANC attendance register. Eligible pregnant women were approached consecutively using a sampling interval (k) determined by dividing the expected ANC attendance during the data collection period by the number of participants needed at that facility. The process continued until the facility-specific sample quota was achieved. QUALITATIVE COMPONENT A purposive sampling technique was used to select participants for the qualitative component. Healthcare workers were selected from the five participating facilities based on their direct involvement in maternal and malaria-related services. This included midwives and nurses. Pregnant women were recruited for focus group discussions (FGDs) to ensure diversity in age, gravidity, education, and exposure to malaria prevention interventions. Selection was supported by ANC staff who were familiar with the clients’ backgrounds. 3.6 INCLUSION AND EXCLUSION CRITERIA PREGNANT WOMEN (QUANTITATIVE AND QUALITATIVE) Inclusion Criteria: Pregnant women attending antenatal care (ANC) services at any of the five selected rural health facilities. Residing in Shiwang’andu District for at least six months prior to the study. Aged 18 years or older Willing and able to provide informed consent. Exclusion Criteria: Pregnant women who are too ill to participate at the time of data collection. Women who have already participated in the survey or focus group (to avoid duplication). Non-residents or women visiting from outside the district. Not willing to give consent. HEALTHCARE WORKERS (QUALITATIVE COMPONENT ONLY) Inclusion Criteria: Healthcare workers (e.g., nurses and midwives,) involved in maternal health and/or malaria prevention services at any of the five selected health facilities. Having worked in the current facility for at least six months. Willing and able to provide informed consent. Exclusion Criteria: Administrative or support staff not directly involved in maternal or malaria services (e.g., cleaners, security guards etc). Staff on leave or secondment during the data collection period. 3.7 DATA COLLECTION PROCEDURE QUANTITATIVE COMPONENT Data for the quantitative component were collected using a structured, pre-tested questionnaire administered to pregnant women attending antenatal care (ANC) services at the five selected rural health facilities. The questionnaire covered socio-demographic characteristics, knowledge about malaria in pregnancy, use of preventive measures such as intermittent preventive treatment in pregnancy (IPTp) and insecticide-treated nets (ITNs), as well as reported data on malaria during the current or previous pregnancies. In addition to the survey, retrospective facility records (ANC and HMIS malaria registers) were reviewed to extract data on the number of malaria cases in pregnancy and total ANC visits from 2017 to 2024. These data were used to calculate annual prevalence trends of malaria in pregnancy for each facility and for the district overall, with district-level data collected from the Shiwang’andu District Health Office. Trained research assistants administered the questionnaires through face-to-face interviews conducted in private spaces at the health facilities. Data were collected in either English or the local language, depending on the participant’s preference. QUALITATIVE COMPONENT Qualitative data were collected through in-depth interviews (IDIs) with healthcare workers and focus group discussions (FGDs) with pregnant women. IDIs with healthcare workers explored their experiences, knowledge, and perceptions regarding the implementation of malaria prevention interventions, including IPTp administration, availability of malaria commodities, patient adherence, and systemic challenges. FGDs with pregnant women explored sociocultural beliefs, the perceived burden of malaria in pregnancy, barriers to accessing services, and perceptions about preventive measures. An interview guide and FGD guide, developed based on the study objectives and literature review, were used to facilitate discussions. All interviews and FGDs were audio-recorded (with participant consent), and notes were taken by the research team. Discussions were conducted in local languages and later transcribed and translated into English for analysis. 3.8 DATA ANALYSIS QUANTITATIVE DATA ANALYSIS Quantitative data from structured questionnaires was be entered into excel and exported to STATA version 14 for analysis. Descriptive statistics such as frequencies, percentages, means, and standard deviations was used to summarize participants’ demographic characteristics, knowledge levels, and prevention practices. To estimate prevalence trends, retrospective ANC and malaria case data from 2017 to 2024 was used to compute annual prevalence rates of malaria in pregnancy for each facility and the district as a whole. Where appropriate, chi-square tests was used to assess statistically significant differences between categories and test for associations. QUALITATIVE DATA ANALYSIS Qualitative data from in-depth interviews and focus group discussions was transcribed, translated into English (if needed), and analyzed using thematic content analysis. The analysis followed familiarization, coding, theme development, and interpretation. TRIANGULATION OF FINDINGS Findings from the quantitative and qualitative analyses was integrated at the interpretation stage to allow for convergence and comparison. Quantitative trends was interpreted alongside qualitative themes to provide a comprehensive understanding of the factors influencing malaria prevention. 3.9 VALIDITY AND RELIABILITY To ensure validity, the study used pre-tested, structured questionnaires developed based on existing literature and aligned with the study objectives. Content validity was enhanced by expert review, while triangulation of data sources, quantitative surveys, facility records, and qualitative interviews, strengthened internal validity. Reliability was maintained through standardized data collection procedures, training of research assistants, and daily review of completed tools to ensure consistency and completeness. In the qualitative component, reliability was supported by using an interview guide, consistent probing, and transcription of interviews to ensure accurate representation of participant responses. 3.10 LIMITATIONS This study has several limitations. Its cross-sectional design limits causal inference, allowing only for associations rather than temporal relationships. Self-reported data from pregnant women may be affected by recall or social desirability bias, while retrospective facility records may contain incomplete or inaccurate information. The study is also limited in generalizability, as it focuses on five rural health facilities in Shiwang’andu District, and findings may not reflect other settings. Additionally, qualitative data may lose true meaning during translation from local languages, and the small number of healthcare workers interviewed may restrict the breadth of perspectives captured. 3.10 ETHICAL CONSIDERATION Ethical approval was sought from the ethics review committee of the Tropical Diseases Research Center (TDRC) and registered with National Health Research Authority (NHRA). Permission to collect data from the participants was obtained from Muchinga Provincial Health Office and Shiwangandu District Health Office and ensured compliance with the Zambian Code of Ethics (ZCE). The study adhered to the four core principles of research ethics: autonomy, beneficence, non-maleficence, and justice. CHAPTER FOUR: RESULTS 4.1 INTRODUCTION This chapter presents the findings of this study that responds to the objectives of the study. The findings highlight the social demographic characteristics of both the pregnant women and the healthcare workers, prevalence trends of malaria in pregnancy in Shiwang’andu district from 2017-2023, the knowledge levels of malaria in pregnancy among women attending antenatal care, the knowledge levels among health care workers on the prevention of malaria in pregnancy, and the practices on case management of malaria in pregnancy. 4.2 SOCIAL DEMOGRAPHIC CHARACTERISTICS Table 4.1 below shows the social demographic characteristics of the pregnant women that participated in the survey. Results show that the mean age of the pregnant women was 23years (Std dev 13.14) with minimum age of 16years and maximum age of 38years. Majority (37.5%) of the women had a secondary education, most of them were single (74.3%), majority (46.1%) were farmers, and all of them were Christians. Majority of the women had a gravidity of the range 3-4 pregnancies (47.9%), and the highest parity was 0-2 children (52.6%), most of the women also were in there 2 nd trimester, and the highest number of ANC visits attended by the majority was 5-6 visits (38.6%). Table 4.1 Social demographic characteristics of pregnant women Variable Frequency n=323 (%) Age Mean age Std deviation Minimum and maximum age 23years 13.14 (2d.p) 16years, max 38 years Education Primary Secondary Tertiary No education 81(25.1%) 121(37.5%) 101(31.3%) 20(6.1%) Marital Status Single Married Divorced 83(25.7%) 240(74.3%) 0(0.0%) Occupation Business woman Formal Farmer Housewife (full-time) 85(26.3) 20(6.2%) 149(46.1%) 69(21.4) Religion Christian Muslim 323(100.0%) 0(0.0%) Health facility Matumbo Health Post Kalalantekwe RHC Mulanga RHC Lwanya RHC Ilondola RHC 67(20.7%) 75(23.2%) 62(19.2%) 58(17.9%) 61(19.0%) Gravidity 1-2 3-4 5-6 120(37.2%) 155(47.9%) 48(14.9%) Parity 0-2 3-5 >6 170(52.6%) 138(42.7%) 15(4.7%) Gestational Age 1 st trimester 2 nd trimester 3 rd trimester 68(21.1%) 142(43.9%) 113(35.0%) Number of ANC visits 1-2 vistis 3-4 visits 5-6 vistis 7-8 vistis 72(22.3%) 110(34.1%) 125(38.6%) 16(5.0%) Table 4.2 below shows the social demographic characteristics of the healthcare workers that participated in the in-depth interviews of the qualitative component. 2 healthcare workers were interviewed from each health facility. Most of the healthcare workers were registered nurse-midwives (40%), and majority of the healthcare workers had 3-4 years of experience (40%). This shows that the respondents had the relevant knowledge and experience necessary for this study. Table 4.2 Social demographic characteristics of healthcare workers Variable Frequency n=10 (%) Health facility Matumbo Health Post Kalalantekwe RHC Mulanga RHC Lwanya RHC Ilondola RHC 2(20%) 2(20%) 2(20%) 2(20%) 2(20%) Profession Registered nurse midwife Registered Midwife Registered Nurse Clinic officer 4(40%) 1(10%) 2(20%) 3(30%) Years of experience in maternal health 1-2 years 3-4 years 5-6 years >6 years 3(30%) 4(40%) 2(20%) 1(10%) 4.3 PREVALENCE TRENDS OF MALARIA IN PREGNANCY Figure 4.1 shows a line graph of the prevalence trends of malaria in pregnancy from 2017-2024 in Shiwan’gandu district and the trends in the 5 health facilities assessed. The graph shows that there have been fluctuations in the prevalence with a general downward trend from 2017 to 2024. Kalalantekwe RHC had the highest prevalence (17%) in 2017 and Lwanya RHC had the lowest (13%). All health facilities had lower trends in 2022 with Ilondola RHC an Lwanya recording the lowest prevalence (8%). However, despite the lower trends recorded in 2022, the preceding years show an upward trend as seen by the graph below. Figure 4.2 shows the district trend of malaria in pregnancy. Results show that there have been fluctuations in the prevalence since from 2017 to 2024 with the highest being 14% in 2017 and 2020 and the lowest being 9% in 2022. However, the results show an upward trend in the last 3 years from 9% in 2022 to 14% in 2024. 4.4 KNOWLEDGE OF MALARIA IN PREGNANCY 4.4.1 PREGNANT WOMEN KNOWLEDGE QUANTITATIVE FINDINGS Table 4.3 below shows the knowledge levels of pregnant women on malaria in pregnancy. All (100%) the pregnant women knew correctly that malaria is caused by a mosquito bite. Most of the women knew that malaria can affect pregnant women more than others. These findings show that the women had good knowledge about malaria in pregnancy. Table 4.3 Knowledge of malaria in pregnancy among pregnant women Figure 4.3 below shows the known complications of malaria in pregnacy among the pregnant women. The most commonly known complication was miscarriage (40%), followed by maternal death (37%), anemia (20%), preterm labour (16%), and low birth weight (15%). A significant (32%) proportion of women were not sure of the complications of malaria in pregnancy. Figure 4.4 below shows the known preventative measures of malaria in pregnancy. The most commonly known preventive measure was sleeping under a mosquito net (60%), followed by indoor residual spraying (IRS) (55%), taking Fansider (43%), avoiding stagnant water (34%), and early ANC visits (20%). QUALITATIVE FINDINGS OF KNOWLEDGE AMONG PREGNANT WOMEN Theme 1: Knowledge Of Malaria In Pregnancy Participants demonstrated a general understanding of malaria transmission and prevention, with several correctly identifying mosquito bites as the primary cause and acknowledging the importance of taking Fansidar (IPTp) at appropriate times during pregnancy. However, the discussions also revealed gaps in knowledge, particularly regarding the potential complications of malaria in pregnancy. “Malaria in pregnancy happens when an infected mosquito bites a pregnant woman”. - Participant 3, FGD Matumbo Health Post “I was told that Fansidar should be started after the first 3 months and should be at the clinic”- Participant 1, FGD Ilondola Rural Health Centre “I thought malaria only gives fever and body pains. I didn’t know it could cause the baby to be born too early or too small.” Participant 6, FGD Mulanga Rural Health Centre Theme 2: Community misconceptions of malaria in pregnancy Focus group discussions revealed persistent cultural and traditional beliefs that hinder effective prevention. Some participants reported that malaria in pregnancy is believed to result from non-biomedical causes such as getting soaked in the rain. Others highlighted misconceptions about the safety of preventive measures. Additionally, there were concerns about insecticide-treated nets (ITNs), with some advising against their use due to fears that they are satanic. These misconceptions contribute to poor uptake of proven malaria prevention strategies in the community. “Some people in our village say malaria in pregnancy can also be caused by getting soaked in the rains” . Participant 2, FGD Kalalantekwe Rural Health Centre “There are women who believe that taking Fansidar will harm the baby or cause miscarriage, so they refuse it even when the nurse offers it.”. Participant 5, FGD Ilondola Health Post “Our friends tell us not to use mosquito nets because they are satanic and can bring problems to the baby.” - Participant 4, FGD Lwanya Rural Health Post 4.4.2 HEALTHCARE WORKERS KNOWLEDGE ON MALARIA IN PREGNANCY Theme 3: Perceived knowledge of health care workers Health care workers demonstrated a solid understanding of malaria in pregnancy, identifying mosquito-transmitted parasites as the primary cause. Respondents recognized serious complications such as maternal anemia, miscarriage, and low birth weight in newborns as common outcomes of malaria during pregnancy. Most facilities reported having preventive strategies in place, including the administration of Fansidar (IPTp), distribution of insecticide-treated nets (ITNs), and periodic indoor residual spraying (IRS) when supported by the district. While many health workers confirmed adherence to the directly observed therapy (DOT) strategy for IPTp, challenges such as lack of clean drinking water or cups sometimes hinder full implementation, leading to missed opportunities for effective malaria prevention. “Malaria in pregnancy is caused by a mosquito bites. It becomes more dangerous during pregnancy because of the lowered immunity.” - Clinic officer, Mulanga Rural Health Centre “If a pregnant woman gets malaria, she can lose the baby, or the baby may be born with low weight.” - Midwife, Matumbo Health Post “We have Fansidar, mosquito nets, and sometimes do IRS campaigns when supported by the district. But the main prevention we rely on is giving IPTp during ANC.” - Nurse, Lwanya Rural Health Post “Yes, we follow DOT. We make sure the woman swallows the Fansidar right here at the clinic. But when we don’t have clean cups or water, some women go without” - Nurse-midwife, Ilondola Health Centre Theme 4: Experiences on system and supply factors affecting prevention of malaria Health workers reported frequent stock-outs of Fansidar, which disrupted IPTp delivery. DOT implementation was also inconsistent due to lack of clean water and cups. ITNs were not always available, meaning some pregnant women missed out. Additionally, IRS was irregular, with some areas going over a year without spraying. These system and supply gaps hinder effective malaria prevention in pregnancy. “Yes, we face challenges with IPTp. Sometimes there are stock-outs of Fansidar, and when we don’t have cups or clean water, we can’t practice DOT properly.”- Midwife, Ilondola Rural Health Centre “ITNs are not always available. We only give them when we receive supplies, so not every pregnant woman goes home with a net.” - Nurse, Kalalantekwe Rural Health Centre “IRS is not done regularly. The last time our catchment area was sprayed was over a year ago. It depends on whether the district receives funding or not.” - Registered Nurse mid-wife, Mulanga RHC Theme 5: Perceptions and cultural beliefs Health care workers noted mixed attitudes among pregnant women toward malaria in pregnancy. While some women, especially those with prior complications, viewed malaria as a serious health threat, others perceived it as a minor illness that would resolve on its own. Misconceptions about the importance and safety of taking Fansidar during pregnancy were also reported. In response, health workers emphasized the role of antenatal care (ANC) education in addressing these beliefs, using simple explanations. “Some pregnant women take malaria seriously, especially those who have experienced complications before. But others think it’s just a normal illness that will go away.”- Midwife, Ilondola Health Centre “There are still women who believe that taking Fansidar is not very important for the pregnancy.” - Nurse, Matumbo Health Post “During ANC sessions, we explain that malaria is caused by mosquito bites and that SP is safe.”- Nurse midwife, Kalalantekwe Rural Health Centre 4.5 PREVENTION AND CASE MANAGEMENT PRACTICES 4.5.1 AMONG PREGNANT WOMEN Table 4.4 shows the prevention and practices among pregnant women. Majority (55.7%) of the respondents received more than 3 doses of Fansider. Among women that had ever missed a dose, the common (13.3%) reason was due to drug being out of stock. Majority (57.3%) of the women agreed that the Fansider was given under observation (DOT). However, 27.9% of the women denied receiving the drug under observation, and 14.9% were not sure. Only a few (31.6%) received insecticide treated mosquito nets despite majority (58.8%) of the respondents sleeping under a mosquito net. Further, few houses (28.9%) had been sprayed. Majority of the women (19.8%) had never suffered from malaria in their current pregnancies. Table 4.4 Prevention and practices among pregnant women Table 4.4 below shows a cross tabulation of women that received IPTp and the knowledge levels on malaria. Majority of the women that received IPTp more than 3 times also had high knowledge compared to the women received less than 3 doses. This was statistically significant (p=0.02). Table 4.5 Cross tabulation of IPTp uptake and knowledge about malaria Knowledge Level IPTp <3 doses IPTp ≥3 doses Total p-value High 76(53.1%) 122(67.8%) 198(61.3%) 0.02 Low 67(46.9%) 58(32.2%) 125(38.7%) Total 143(100%) 180(100%) 323(100%) Table 4.6 below shows a cross tabulation of women that received IPTp and having malaria. Majority of the women that received more than 3 doses of IPTp did not have malaria (86.1%). This findinding is statistically significant (p=0.04) Table 4.6 Cross tabulation of IPTp uptake and having malaria in pregnancy Cross tabulation IPTp ≥3 doses IPTp <3 doses Total p-value Had malalria in current pregnancy Yes 25(39.9%) 39(27.3%) 64(19.8%) 0.04 No 155(86.1%) 104(72.7%) 259(80.2%) Total 180(100%) 143(100%) 323(100%) Table 4.7 below shows a cross tabulation of women that sleep under a mosquito net and having malaria. Majority of women that sleep under a mosquito net did not have malaria (80.5%). However, these findings were not statistically significant (p=0.07). Table 4.7 Cross tabulation of sleep under mosquito net and having malaria Cross tabulation Sleep under mosquito net Total p-value Yes No Had malalria in current pregnancy Yes 37(19.5%) 27(20.3%) 64(19.8%) 0.07 No 153(80.5%) 106(79.7%) 259(80.2%) Total 190(100%) 133(100%) 323(100%) 4.5.1 AMONG HEALTH CARE WORKERS/FACILITIES Qualitative analysis Participants described their efforts to implement national guidelines for malaria prevention in pregnancy, particularly through the administration of Fansidar (IPTp). Health workers reported starting IPTp at 13 weeks of gestation, but noted that late ANC attendance or missed visits often hindering full dose completion. Additionally, some women declined to take Fansidar when not sick. To address these challenges, facilities engaged community health volunteers to support health education and outreach. Theme: Prevention practices among health care workers “We follow the guidelines by giving Fansidar at each ANC visit starting from 13 weeks, but if the woman comes late or misses visits, it becomes difficult to complete all doses.” - Nurse, Mulanga Rural Health Centre “Sometimes women refuse to take Fansidar when they are not feeling sick. We have to keep reminding them that it's for prevention, not treatment.”- Midwife, Ilondola Health Centre “We also involve community health volunteers to educate women during outreach sessions”- Malaria Focal Point Person, Shiwang’andu District Health Office 4.6 TRIANGULATION OF FINDINGS The integration of quantitative and qualitative findings revealed consistency and complementing results across the study objectives. Quantitative data showed fluctuating trends in malaria prevalence among pregnant women between 2017 and 2024. These fluctuations were explained by health workers during interviews, who cited factors such as Fansidar stock-outs, and gaps in service delivery. Regarding knowledge among pregnant women, survey results revealed high awareness of mosquito transmission, but limited understanding of complications and IPTp timing. This was supported by focus group discussions, where the pregnant women expressed misconceptions such as believing malaria could be caused by rain or fearing that Fansidar could harm the baby. Health care workers demonstrated good technical knowledge of IPTp administration and malaria risks. However, they also reported challenges such as lack of water for DOT, stock-outs, and patient refusals, which affected practice. Prevention practices were generally aligned between both data qualitative and quantitative data. Quantitative results showed that over 50% of the women received at least three IPTp doses, and that uptake was associated with ANC attendance and ITN use. Qualitative findings supported this, but also highlighted barriers like late ANC attendance and irregular ITN supply. CHAPTER FIVE: DISCUSSION 5.1 INTRODUCTION This chapter discusses the key findings of the study in relation to the research objectives and existing literature. The aim of the study was to assess the prevalence of malaria in pregnancy and to explore the knowledge, perceptions, and prevention practices among pregnant women and health care workers in Shiwang’andu District. The discussion integrates both quantitative and qualitative findings, highlighting areas of similarities and differences, and interpreting their significance within the broader context of malaria control efforts. 5.2 PREVALENCE OF MALARIA IN PREGNANCY The analysis of facility data in Shiwang’andu District revealed fluctuating malaria prevalence among pregnant women from 2017 to 2024, with peaks at 14% in 2017 and 2020 and a drop of 9% in 2022 followed by an upward trend back to 14% by 2024. Similar patterns were observed at individual health facilities with Kalalantekwe RHC showing the highest prevalence at 17% in 2017, while Ilondola and Lwanya RHCs dropped to 8% in 2022 before rising again. These district-level fluctuating trends are similar to regional patterns documented in Sub‑Saharan African settings. For example, a pooled analysis of malaria indicator surveys (2011–2022) revealed an average prevalence of 28% with substantial regional variations and intermittent declines attributed to intensified malaria control interventions (Mungusho et al., 2023). (Zageye et al., 2025). Our findings however show a lower prevalence of malaria in pregnancy compared to another study conducted locally in Nchelenge district which showed a prevalence of 30% (Chaponda et al., 2015). Nevertheless, other regional studies show similar results with our study such as Uganda where surveillance data from 2015 to 2023 demonstrated year‑on‑year fluctuations in malaria prevalence among pregnant women, ranging from 8.9% to over 20% and in Ghana where test the prevalence fell to as low as 5.6% in Greater Accra by 2020 depending on transmission intensity and seasonality (Osarfo et al., 2022; Uanda National Institute of Public Health, 2024). The observed findings in Shiwang’andu District during 2022-2024 may partly reflect challenges in malaria control such as resource constraints and post‑COVID recovery setbacks. WHO reports document a rising burden of malaria in recent years, especially in Africa, where disrupted services, funding shortfalls, and vector resistance contributed to stalled progress as of 2022 (World Malaria Report, 2022). 5.3 KNOWLEDGE OF MALARIA IN PREGNANCY 5.3.1 Among Pregnant Women The findings show that 61.3% of the pregnant women had high knowledge on malaria in pregnancy. All the women knew that malaria is caused by a mosquito bite and majority (38.7%) also knew that malaria can affect pregnant women more than others despite others not knowing and some not being sure. However, knowledge gaps remain. Women expressed misconceptions such as believing malaria could be caused by rain or fearing that Fansidar could harm the baby. Further, there was limited understanding among the pregnant women of the complications of malaria. Nevertheless, some women correctly knew of some complications which included miscarriage (40%), maternal death (37%), anemia (20%), preterm labour (16%), and low birth weight (15%). Further, the pregnant women knew of malaria preventive measures which included sleeping under a mosquito net (60%), indoor residual spraying (IRS) (55%), taking Fansider (43%), avoiding stagnant water (34%), and early ANC visits (20%). These findings resonate with studies across sub‑Saharan Africa. Research from Nigeria found high general awareness of IPTp and ITNs, yet actual use remained low due to misconceptions and limited autonomy in health decisions (Ameh et al., 2016). Similarly, in Ghana, pregnant women exhibited strong awareness of IPTp‑SP, but with knowledge gaps as only about one‐third could identify correct dosage or timing (Pell et al., 2013). In contrast to our findings, a study in South‑West Nigeria revealed poor overall knowledge, with only half of respondents having heard about IPTp and few recognizing SP as the recommended drug (Akinleye et al., 2009). This led to minimal uptake and poor practice despite awareness of malaria risks. 5.3.2 Among Healthcare Workers Health care workers demonstrated good technical knowledge of IPTp administration and malaria risks. However, they also reported challenges such as lack of water for DOT, stock-outs, and patient refusals, which affected practice. Similarly, studies in sub-Saharan Africa highlight stock-outs and shortages of SP as key barriers to IPTp delivery, with up to 9% of pregnant women missing doses due to procurement challenges and in another study in Uganda were there was lack of portable water and cups (Rassi et al., 2016). Additionally, DOT is often not practiced due to lack of clean water or cups especially in rural health facilities in Tanzania (Thiam et al., 2013). Further, in Nigeria (Bello & Oni et al., 2020) health workers were aware of the current WHO use of IPTp but had gaps in knowledge in the correct dosages. These findings and studies above show that health care workers generally possess technical knowledge of malaria risks and IPTp protocols, yet systemic barriers such as drug stock-outs, poor infrastructure for DOT, and inconsistent training emerge repeatedly. Adherence and prescribing practices suffer when protocols are unclear or support supervision is lacking. This study findings re-echo these broader patterns where providers know what to do but often can't due to resource constraints. 5.4 PREVENTION PRACTICES OF MALARIA IN PREGNANCY The findings of this study revealed that just over half of the respondents (approximately 55%) received at least three doses of IPTp, with stock-outs of Fansidar identified as the major reason for missed doses. Uptake of IPTp was associated with antenatal care (ANC) attendance and use of insecticide-treated nets (ITNs). While 57.3% of women reported receiving Fansidar under DOT, a substantial proportion (27.9%) denied receiving the drug under observation. Additionally, ITN distribution was inconsistent with only 31.6% reported receiving a mosquito net from the health facility in spite majority (58.8%) reported sleeping under a mosquito net. Indoor residual spraying (IRS) coverage was also low, with only 28.9% of respondents reporting their homes had been sprayed. These findings are consistent with studies conducted in Tanzania, Kenya, and Ghana, where IPTp uptake remains sub optimal despite reasonable ANC attendance. In Tanzania, Sanga et al. (2014) found that although ANC coverage was high, less than half of the women received IPTp doses, mainly due to stock-outs and inconsistent implementation of DOT. Similarly, a study in Kenya highlighted that health system challenges such as Fansidar shortages, lack of clean water for DOT, and delayed ANC initiation limited IPTp coverage even in facilities with high ANC attendance (Chukwu et al., 2021). In Ghana, a mixed-methods study by Owusu-Boateng et al. (2022) reported that while health workers understood IPTp protocols, delivery was hindered by irregular supply of Fansidar and inconsistent monitoring of DOT. The study also revealed that despite net distribution efforts, many women did not receive ITNs due to logistical barriers and delays at the district level. These findings closely align the findings in Shiwang’andu, where only a minority of respondents received nets from health facilities. Contrary findings have been reported in some parts of Ghana, where IPTp uptake of three or more doses exceeded 80% (Ampofo et al., 2021) compared to our findings where uptake was (55%). The high performance in such areas was attributed to early ANC attendance, better supply chain management, and greater exposure to malaria education campaigns (Ampofo et al., 2021). The observed gap between ITN distribution (31.6%) and usage (58.8%) also reflects findings from other countries, where mosquito net ownership is low but behavioral adherence among those with access is relatively good. A multi-country analysis by Koenker et al. (2013) found that while ITN use is often promoted, supply limitations and misconceptions about discomfort or safety reduce actual ownership and consistent use. CHAPTER SIX: CONCLUSION AND RECOMMENDATIONS 6.1 CONCLUSION This study assessed the prevalence, knowledge, and prevention practices related to malaria in pregnancy in Shiwang’andu District using both quantitative and qualitative approaches. The findings show that while general awareness of malaria transmission and its risks during pregnancy is high among pregnant women and health care providers, significant knowledge gaps and misconceptions exist, particularly regarding the complications of malaria and the safety of IPTp. Health care workers demonstrated good technical knowledge of IPTp, but systemic challenges such as drug stock-outs, limited resources for DOT, and inconsistent supply of ITNs and IRS interventions hindered service delivery. Prevention practices such as IPTp uptake and ITN use were moderately high, yet hindered by supply chain challenges and delayed ANC attendance. These findings align with trends observed across sub-Saharan Africa, highlighting the need for strengthened health system support, improved community education, and consistent implementation of malaria prevention strategies in pregnancy. 6.2 RECOMMENDATIONS Based on the findings and discussion above, the following recommendations have been made: Studies on health system preparedness for DOT implementation: Given the reported challenges with DOT, more research is needed to assess health facility preparedness, such as availability of clean water, cups, and staff training to support effective implementation of DOT for IPTp. Longitudinal studies on IPTp uptake and pregnancy outcomes: There is need for longitudinal or cohort studies that follow pregnant women throughout gestation to assess how IPTp uptake affects maternal and neonatal health outcomes prospectively, especially in rural or resource limited settings. Comparative studies across districts or regions: Comparative research involving different districts or provinces in Zambia could identify best practices and contextual barriers influencing knowledge and prevention practices, contributing to more targeted future investigations. Mixed-methods research on ANC service quality and malaria prevention: Given the association between ANC attendance and IPTp uptake, further mixed-methods research should examine the quality of ANC services and how they affect malaria prevention behaviors and adherence among pregnant women. Operational research on integration of malaria prevention into routine ANC services: There is a need for operational research to assess how malaria prevention services can be better integrated into routine antenatal care. Abbreviations ANC: Ante-Natal Clinic MIP: Malaria in pregnancy IPTp: intermittent presumptive therapy in pregnancy SP: sulphadoxime-pyrimethimine IRS: Indoor Residual Spraying ITN: insecticide treated nets NME: National malaria elimination MoH: Ministry of Health CBU: Copperbelt University SoM: School of Medicine UNZA: University of Zambia WHO: World Health Organization Declarations Consent to Participate: All participants involved in this study provided informed consent prior to their inclusion. A statement confirming this consent is available and has been obtained in accordance with ethical standards. Autonomy: The study ensured participant autonomy through informed consent. All participants received clear explanations of the study's purpose, methods, risks, and benefits. Participation is this study remained voluntary, with guaranteed rights to withdraw without penalty. No incentives or coercion was used to influence participation, ensuring that decisions are made freely. Beneficence: There were no any immediate benefits to participants for accepting to participate in this study. However, many people may benefit in future if the study responds to the questions this research is asking. Non-maleficence: There was no anticipated harm for participating in this study. Confidentiality was strictly maintained to minimize discomfort with the participant’s information. There were no any personally identifiable information collected nor published, Justice: The study was fair in the selection of participants and ensured equal opportunity to participate regardless of gender, ethnicity, or academic performance while maintain the inclusion and exclusion criteria of the study. 3.11 FUNDING DECLARATION: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Author Contribution greetings, all the sections in this manusript have been written by the author, Sikazwe Edward Acknowledgement i acknoledge my wife, Jane Mwanza, for the support she rendered throughout the entire study period I dedicate this work to my wife, Jane Mwanza, for the encouragements and support she rendered to me during the period of study. To my children, I say keep the spirit of hard work. God richly bless you. References Akinleye, A. A., Olarenwaju, O. A., & Oluremi, A. O. (2009). Knowledge, attitude and practice of malaria prevention among pregnant women in South West Nigeria. African Journal of Medicine and Medical Sciences , 38(3), 219–224. Ampofo, E., Owusu-Boateng, G., & Ankomah, A. (2021). Factors influencing the uptake of intermittent preventive treatment of malaria in pregnancy in Ghana: A mixed-methods study. BMC Pregnancy and Childbirth , 21, 820. Azizi, S. C. (2018). Uptake of intermittent preventive treatment for malaria during pregnancy with Sulphadoxine-Pyrimethamine (IPTp-SP) among postpartum women in Zomba District, Malawi: A cross-sectional study. BMC Pregnancy and Childbirth , 18, 5. Chanda, E., Mulenga, C., & Kasonde, B. (2019). Socio-cultural factors influencing malaria prevention in Zambia: A qualitative study. Malaria Journal , 18, 312. Chukwu, O. E., Nwaka, C. M., & Obasi, N. (2021). Barriers to malaria preventive measures among pregnant women: A cross-sectional study in Kenya. African Health Sciences , 21(2), 529–538. De-Gaulle, V. K. (2022). A qualitative assessment of the health systems factors influencing the prevention of malaria in pregnancy using intermittent preventive treatment and insecticide-treated nets in Ghana. Malaria Journal , 21, 233. Freddie Masaninga, M., & Mufunda, J. (2016). Increased uptake of intermittent preventive treatment for malaria in pregnant women in Zambia (2006–2012): Potential determinants and lessons learned. Asian Pacific Journal of Tropical Biomedicine , 6(8), 620–624. Hamer, D. H., Kachur, P. S., & McKenzie, F. E. (2020). Malaria and pregnancy: A review of strategies and challenges. The Lancet Infectious Diseases , 20(7), e170–e178. Kibusi, S. F., Chizuni, N., & Chizuni, N. (2021). Community misconceptions and malaria prevention practices in Zambia: A systematic review. BMC Public Health , 21, 345. Koenker, H., Kanyangarara, M., & Penney, C. (2013). Ownership and use of insecticide-treated nets in sub-Saharan Africa: A review of recent evidence. Tropical Medicine & International Health , 18(12), 1464–1474. Malaria Consortium. (2018). Country brief: Zambia . Mungusho, D., Zageye, A. F., & Mekonen, E. G. (2023). Spatial variation and multilevel determinants of malaria infection among pregnant women in sub-Saharan Africa: Using malaria indicator surveys. BMC Infectious Diseases , 25, 654. National Malaria Control Centre (NMCC). (2012). Malaria control in Zambia. Lusaka: Ministry of Health. Owusu-Boateng, G., Amoah, S., & Kpodo, R. (2022). Barriers to malaria prevention among pregnant women: A mixed-methods study in Ghana. Malaria Journal , 22, 84. Pell, C., Mativo, T., & Sasi, P. (2013). Knowledge of malaria prevention among pregnant women in Ghana. Tropical Medicine & International Health , 18(4), 443–451. Rassi, S. A., Kabu, A. O., & Folayan, M. O. (2016). Stock-outs of sulfadoxine-pyrimethamine and their effect on malaria prevention in Uganda. Malaria Journal , 15, 290. United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development . World Health Organization. (2015). Global technical strategy for malaria 2016–2030 . Geneva: WHO. World Health Organization. (2018). World malaria report 2018 . Geneva: WHO. World Health Organization. (2021). World malaria report 2021 . Geneva: WHO. World Health Organization. (2022). Malaria factsheet. Zambia Ministry of Health. (2019). National malaria strategic plan 2017–2021 . Lusaka: Ministry of Health. Zegeye, A. F., Mekonen, E. G., Gebrehana, D. A., et al. (2025). Spatial variation and multilevel determinants of malaria infection among pregnant women in sub-Saharan Africa: Using malaria indicator surveys. BMC Infectious Diseases , 25, 654. Additional Declarations No competing interests reported. Supplementary Files APPENDICES.docx Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 16 Aug, 2025 Editor assigned by journal 11 Aug, 2025 Submission checks completed at journal 11 Aug, 2025 First submitted to journal 03 Aug, 2025 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. 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4","display":"","copyAsset":false,"role":"figure","size":66296,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 4.3 Known complications of malaria in pregnancy\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7283905/v1/3d4dc50c3283a326651ea4e8.jpg"},{"id":89981172,"identity":"6d37900a-e363-4fac-941b-2219fe2ef9cc","added_by":"auto","created_at":"2025-08-27 06:24:59","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":63274,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 4.4 Known preventive measures of malaria in pregnancy\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7283905/v1/da5b32d3670a204b33408b9a.jpg"},{"id":89983226,"identity":"17e02a0c-e4d4-42a0-8e97-da7b32270a00","added_by":"auto","created_at":"2025-08-27 06:33:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2061310,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7283905/v1/dbf33792-7c7a-4fba-867d-30d659ed387c.pdf"},{"id":89978900,"identity":"770adbd7-1cd5-41f9-9cb2-6a20e9395714","added_by":"auto","created_at":"2025-08-27 06:16:59","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":25853,"visible":true,"origin":"","legend":"","description":"","filename":"APPENDICES.docx","url":"https://assets-eu.researchsquare.com/files/rs-7283905/v1/2d2645a08949f365c3796969.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eFactors Influencing the Prevention of Malaria in Pregnancy in Zambia; a Case of Shiwang'andu District.\u003c/p\u003e","fulltext":[{"header":"CHAPTER ONE: INTRODUCTION","content":"\u003cdiv id=\"Sec2\" class=\"Section2\"\u003e\u003ch2\u003e1.1 BACKGROUND\u003c/h2\u003e\u003cp\u003eMalaria remains one of the most formidable public health challenges globally, particularly in sub-Saharan Africa, where it significantly burdens health systems, impedes socioeconomic development, and threatens the health of vulnerable populations, especially pregnant women and children (World Health Organization, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Despite various global initiatives aimed at combatting malaria, such as the malaria eradication efforts under the Global Technical Strategy for Malaria 2016\u0026ndash;2030, progress has been inconsistent (United Nations, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Funding disparities, inadequate healthcare infrastructure, and resistance to treatment have compounded the challenges of securing the objectives set out in Sustainable Development Goal 3 (SDG 3), which aims to ensure healthy lives and promote well-being for all ages (Chanda et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Moreover, community misconceptions about malaria transmission and prevention methods hinder the successful implementation of interventions like insecticide-treated nets (ITNs) and intermittent preventive treatment (IPTp), leading to persistent transmission rates (Kibusi et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). These global challenges underscore the urgent need for comprehensive strategies that align with local contexts and cultural practices to combat malaria effectively.\u003c/p\u003e\u003cp\u003eRegionally, in Southern Africa, the challenges of malaria prevention in pregnancy mirror those seen globally, yet they are further intensified by specific local factors, including climatic variations and the socio-economic context (Eisen \u0026amp; Moore, 2019). In Zambia, for instance, the rise in malaria cases can be attributed to fluctuating rainfall patterns that influence mosquito breeding, while inequitable healthcare access poses additional barriers to timely interventions for pregnant women (Malaria Consortium, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Even with regional partnerships aiming to increase IPTp uptake among pregnant women, socioeconomic factors, such as poverty and education levels, heavily influence health-seeking behaviors and access to prevention measures (Hamer et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). This intersection of complex factors challenges the effective localization of SDG 3 initiatives in the region and highlights the persistent gap in understanding how these local practices can be harmonized with global strategies. Consequently, addressing these challenges requires tailored interventions that consider local cultural beliefs and improve healthcare delivery systems to enhance the effectiveness of malaria prevention efforts among pregnant women.\u003c/p\u003e\u003cp\u003eDespite the implementation of Zambia\u0026rsquo;s National Malaria Elimination Strategic Plan and the availability of proven interventions such as IPTp and insecticide-treated nets, malaria in pregnancy continues to pose a significant health challenge in districts like Shiwang\u0026rsquo;andu. This persistent burden suggests that contextual factors may be undermining the effectiveness of existing strategies. Therefore, this study seeks to examine the prevalence and underlying factors influencing malaria prevention in pregnancy in Shiwang\u0026rsquo;andu District. The findings will provide valuable insights to inform more targeted, culturally appropriate, and evidence-based interventions to support malaria elimination efforts and improve maternal and fetal health outcomes.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e1.2 PROBLEM STATEMENT/RESEARCH GAP\u003c/h2\u003e\u003cp\u003eMalaria remains a major public health concern in Zambia, accounting for nearly 30% of outpatient visits and 17% of hospital admissions annually (Zambia MoH, 2019). Among pregnant women, the risk is even more severe due to pregnancy-induced immunosuppression, leading to increased susceptibility to maternal anemia, low birth weight, stillbirths, and maternal deaths. According to the 2019 Malaria Indicator Survey, malaria in pregnancy contributes significantly to poor maternal and neonatal outcomes, particularly in rural and underserved districts such as Shiwang\u0026rsquo;andu in Muchinga Province. However, no published data quantify malaria prevalence in pregnancy or IPTp uptake trends in Shiwang\u0026rsquo;andu district.\u003c/p\u003e\u003cp\u003eDespite the rollout of Zambia\u0026rsquo;s National Malaria Elimination Strategic Plan (2017\u0026ndash;2021), which prioritized interventions like IPTp with Fansidar and the distribution of insecticide-treated nets (ITNs), malaria in pregnancy persists as a challenge. National data suggest only 40\u0026ndash;60% of eligible pregnant women receive the recommended three or more doses of IPTp, with rural areas often falling below this average. However, no published data quantify malaria prevalence in pregnancy or IPTp uptake trends in Shiwang\u0026rsquo;andu district ((NMCC), 2012).\u003c/p\u003e\u003cp\u003eFurther, little is known about how well these interventions are being implemented and received at the local level, particularly in Shiwang\u0026rsquo;andu district. Existing studies provide national or provincial overviews but fail to explore localized social, cultural, and health system factors influencing uptake. This lack of context-specific evidence limits the effectiveness of tailored interventions, creating a pressing need to understand both the prevalence and local barriers to malaria prevention in pregnancy in this district.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e1.3 JUSTIFICATION OF THE STUDY\u003c/h2\u003e\u003cp\u003eThis study is justified by the need to generate local evidence that reflects both the prevalence trends of malaria in pregnancy and the challenges affecting prevention efforts. By triangulating facility and district-based data with insights from pregnant women and healthcare providers, this research will provide a significant understanding of the factors influencing malaria prevention in this context.\u003c/p\u003e\u003cp\u003eWhile national-level data on malaria prevention in pregnancy exist, there remains a lack of localized research exploring the effectiveness and uptake of these interventions in rural districts such as Shiwang\u0026rsquo;andu. Most existing studies generalize findings at provincial or national levels, overlooking the sociocultural and health system dynamics that may influence intervention outcomes at the district level. This study is therefore justified by the need to fill this gap by generating district-specific evidence on the prevalence of malaria in pregnancy and the contextual factors influencing prevention. The research will contribute to the academic understanding of localized implementation challenges in malaria control and add to the growing body of literature on maternal health.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e1.4 OBJECTIVES\u003c/h2\u003e\u003cdiv id=\"Sec6\" class=\"Section3\"\u003e\u003ch2\u003e1.4.1 General objective\u003c/h2\u003e\u003cp\u003eTo determine the effectiveness of the measures put in place to prevent malaria in pregnancy in Shiwang'andu District.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section3\"\u003e\u003ch2\u003e1.4.2 Specific objectives\u003c/h2\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo determine the trends in prevalence of malaria in pregnancy in Shiwang'andu district from 2017 to 2024.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo assess the levels of knowledge among women on the dangers of malaria in pregnancy.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo assess the level of knowledge among health care workers on the prevention of malaria in pregnancy\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo determine the current practices on case management of malaria in pregnancy\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003e1.5 RESEARCH QUESTIONS\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eWhat have been the trends in the prevalence of malaria in pregnancy in Shiwang'andu District from 2017 to 2024?\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eWhat is the level of knowledge among health care staffs on the prevention of malaria in pregnancy?\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eWhat is the level of knowledge among pregnant women on dangers of malaria in pregnancy?\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eWhat are the current practices in case management of malaria in pregnancy in Shiwang'andu district?\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e1.6 STUDY SIGNIFICANCE\u003c/h2\u003e\u003cp\u003eAs far as my knowledge, there is little or no research done on such topics in this part of the country. There is a data gap to assess the effectiveness of the measures put in place to eliminate malaria in Zambia. Hence, this study will contribute and help to narrow the information gap that exists. It will also help inform policy makers on the effectiveness of the malaria elimination strategic plan\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e1.7 CONCEPTUAL FRAMEWORK\u003c/h2\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cp\u003eThe conceptual framework below illustrates the hypothesized relationship between individual, health system, and sociocultural factors and the prevalence and burden of malaria in pregnancy in Shiwang\u0026rsquo;andu District. Individual factors such as knowledge levels, preventive behaviors, and sociodemographic characteristics may influence a pregnant woman\u0026rsquo;s likelihood of experiencing malaria. Health system factors, including drug availability, health worker training, and service delivery practices, further affect the success of preventive interventions. Additionally, cultural beliefs and practices shape perceptions and behaviors related to malaria prevention. Together, these factors impact both the observed prevalence of malaria and the perceived burden of the disease, including health outcomes and social consequences.\u003c/p\u003e"},{"header":"CHAPTER TWO: LITERATURE REVIEW","content":"\u003ch2\u003e2.1 GLOBAL PERSPECTIVE OF THE CONCEPTUAL FRAMEWORK\u003c/h2\u003e\n\u003cp\u003eGlobally, malaria remains a major public health challenge, particularly in sub-Saharan Africa, where the burden of the disease heavily affects pregnant women and their unborn children. The World Health Organization (WHO, 2021) emphasizes that malaria in pregnancy leads to severe health consequences, including maternal anemia, low birth weight, and heightened infant mortality rates. Initiatives like the Global Malaria Strategy (WHO, 2015) and the Roll Back Malaria partnership (RBM Partnership to End Malaria, 2018) demonstrate a commitment to combatting the disease through effective prevention measures, which include insecticide-treated nets (ITNs), intermittent preventive treatment (IPTp), and health education. These interventions form part of a broader global framework aimed at reducing malaria morbidity and mortality, ultimately striving to achieve Sustainable Development Goal 3, which focuses on ensuring healthy lives and promoting well-being for all at all ages (United Nations, 2015).\u003c/p\u003e\n\u003cp\u003eDespite the advances in malaria control strategies, the global response remains inconsistent due to various factors, including funding variability and local health system capacities (Chanda et al., 2019). In regions such as Zambia, the implementation of these global strategies often confronts challenges such as inadequate health infrastructure, supply chain issues, and cultural misconceptions surrounding malaria prevention methods (Hamer et al., 2020). Thus, while there is a global commitment to reducing the incidence of malaria, the effectiveness of these strategies is contingent on adaptation to local contexts. Tackling such multifaceted issues necessitates collaborative efforts between international organizations and local health agencies to create interventions that are culturally appropriate and feasible within the constraints of Zambia’s healthcare system.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292363\"\u003e2.2 REGIONAL PERSPECTIVE AND ISSUES WITHIN THE THEMATIC AREA\u003c/h2\u003e\n\u003cp\u003eIn the Southern African region, malaria prevention in pregnancy is particularly pertinent given the varying prevalence of the disease across nations and its implications for maternal and child health. Zambia faces significant challenges, including rising rates of malaria transmission in certain districts due to climate variability and increased vector density (Eisen \u0026amp; Moore, 2019). The introduction of IPTp for pregnant women has been promoted regionally, but uptake remains inconsistent due to both systemic health barriers and sociocultural factors (Malaria Consortium, 2018). Regional health partnerships have sought to enhance access to these treatments, yet issues such as inadequate healthcare facilities and a shortage of trained healthcare personnel continue to persist (WHO, 2018). The regional framework addressing malaria highlights the importance of tailored strategies that can be adjusted to the unique needs of different populations, particularly vulnerable groups like pregnant women (Azizi, 2018).\u003c/p\u003e\n\u003cp\u003eAnother regional dimension is the need for effective communication strategies to raise awareness about malaria prevention in pregnancy. Educational campaigns that address cultural beliefs and practices play a crucial role in enhancing community participation and buy-in for preventive measures such as the use of ITNs and IPTp (Kibusi et al., 2021). Despite existing frameworks that encourage such approaches, misconceptions about malaria transmission and prevention methods often inhibit community acceptance (Chanda et al., 2019). A more coordinated regional approach, incorporating local insights and traditions, can significantly improve the effectiveness of malaria prevention efforts in Zambia. By fostering collaboration between regional health organizations and local communities, interventions can be better aligned with the socio-cultural realities of the populations they aim to serve.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292364\"\u003e2.3 LOCAL PERSPECTIVE ON REPORTED ISSUES\u003c/h2\u003e\n\u003cp\u003eAt the local level in Zambia, the realities of malaria prevention in pregnancy manifest in unique challenges for pregnant women. Many expectant mothers may lack access to timely healthcare services, limiting their ability to receive crucial interventions such as IPTp and the use of ITNs (Hamer et al., 2020). For instance, transportation barriers to health facilities and a lack of awareness about the importance of these preventive measures often result in low coverage rates. Additionally, socioeconomic factors, including poverty and education levels, heavily influence the ability of pregnant women to access and utilize malaria prevention strategies effectively (Zambia Ministry of Health, 2019). Addressing these barriers requires a comprehensive understanding of local contexts and active engagement with community leaders to foster a culture that prioritizes maternal health.\u003c/p\u003e\n\u003cp\u003eFurther complicating the local perspective is the prevalence of cultural beliefs and practices that may conflict with modern malaria prevention strategies(Freddie Masaninga, 2016). Some communities still hold misconceptions about the disease and its transmission, leading to resistance against using ITNs or receiving preventive treatments (Kibusi et al., 2021). Furthermore, local health campaigns sometimes fail to engage effectively with these beliefs, resulting in a gap between recommended practices and community behavior. To address these local challenges, tailored awareness programs that integrate traditional practices and local knowledge can enhance acceptability and accessibility to malaria prevention measures. By empowering community members and fostering a collaborative environment between healthcare providers and local populations, Zambia can improve its malaria prevention efforts among pregnant women, ultimately reducing maternal and infant morbidity and mortality rates.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.1 Summary and Critique of Scholarly Work\u003c/strong\u003e\u003c/p\u003e\n\u003ctable\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSummary\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eCritique\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003e2.1 Global Perspective\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eDiscusses the global challenges of malaria in pregnancy, highlighting international strategies like IPTp and ITNs that aim to reduce incidence.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eWhile acknowledging global strategies, it underplays the bureaucratic and funding challenges that impact local implementation.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003e2.2 Regional Perspective\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eFocuses on the unique challenges of malaria prevention in Zambia, emphasizing inconsistent treatment uptake and the need for culturally appropriate strategies.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eCritiques include a lack of deeper analysis into regional collaboration and shared resources that could enhance effectiveness.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003e2.3 Local Perspective\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eExplores barriers faced by pregnant women in accessing malaria prevention, focusing on cultural beliefs, socioeconomic status, and healthcare access.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eIt could further elaborate on successful local initiatives and how they have effectively integrated traditional practices with modern medicine.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"CHAPTER THREE: METHODOLOGY","content":"\u003ch2\u003e3.1 RESEARCH DESIGN\u003c/h2\u003e\n\u003cp\u003eThis study employed a convergent mixed-methods cross-sectional design, integrating both quantitative and qualitative approaches to comprehensively explore factors influencing malaria prevention in pregnancy in Shiwang’andu District. A convergent mixed-methods approach was chosen because it allowed for the simultaneous collection and independent analysis of both quantitative and qualitative data. This was essential for merging statistical trends with lived experiences and contextual realities.\u003cbr\u003e\u0026nbsp;The quantitative component involved the collection and analysis of retrospective facility-based data and structured survey responses from pregnant women to estimate the prevalence of malaria in pregnancy from 2017 to 2024, and to assess knowledge and prevention practices. The qualitative component consisted of in-depth interviews with healthcare workers and focus group discussions with pregnant women to explore perceptions, experiences, and sociocultural factors that influenced the uptake of malaria prevention interventions. This design enabled data triangulation, enhancing the validity and depth of the findings by capturing both measurable trends and contextual insights.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292367\"\u003e3.2 STUDY SITE\u003c/h2\u003e\n\u003cp\u003eThis This study was conducted in Shiwang’andu District, located in Muchinga Province in the northeastern part of Zambia. The district is predominantly rural, with scattered settlements and limited access to health facilities. It had a population that relied heavily on subsistence farming and was served by a limited number of health centers, including both government and mission-run facilities.\u003cbr\u003e\u0026nbsp;Shiwang’andu was classified as a high malaria transmission zone, with seasonal peaks during the rainy season. Despite national malaria control efforts, including the roll-out of the National Malaria Elimination Strategic Plan (2017-2021), malaria remained a leading cause of morbidity in the district (Annual Statistical Health Report, 2024).\u003cbr\u003e\u0026nbsp;Data were collected from selected sites including the Shiwang’andu District Health Office, Matumbo Health Post, Kalalantekwe Rural Health Center, Mulanga Rural Health Center, Lwanya Rural Health Post, and Ilondola Rural Health Center, which were purposively chosen based on malaria case load, accessibility, and representativeness of the district’s population. These sites provided both facility- and district-based records, and access to pregnant women and healthcare providers for interviews and surveys.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292368\"\u003e3.3 TARGET POPULATION\u003c/h2\u003e\n\u003cp\u003eThe target population for this study consisted of two main groups:\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003ePregnant women residing in Shiwang’andu District who were attending antenatal care (ANC) services at selected health facilities.\u003c/li\u003e\n \u003cli\u003eHealthcare workers involved in the provision of maternal and malaria-related services in the same facilities.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eThese groups were selected because they were directly involved in the prevention and management of malaria in pregnancy. Pregnant women provided critical information on their knowledge, experiences, and use of malaria prevention interventions such as intermittent preventive treatment in pregnancy (IPTp) and insecticide-treated nets (ITNs). Healthcare workers, on the other hand, offered valuable insights into the availability of malaria control commodities, service delivery practices, and systemic barriers to effective prevention.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292369\"\u003e3.4 SAMPLE SIZE\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eSAMPLE SIZE CALCULATION FOR QUANTITATIVE SURVEY\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following is the formula used to calculate the sample size of the pregnant women that participated in the study\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;n=\u0026nbsp;\u003cimg width=\"42\" height=\"33\" src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003eWhere,\u0026nbsp;\u003c/p\u003e\n\u003cp\u003en = required sample size\u003c/p\u003e\n\u003cp\u003eZ = Z-score for desired confidence level (1.96 for 95% CI)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ep = estimated prevalence of malaria in pregnancy: 30% (0.3) based on studies in rural Zambia like Nchelenge District and similar settings (Chaponda et al., 2015)\u003c/p\u003e\n\u003cp\u003ed = margin of error 5% (0.05)\u003c/p\u003e\n\u003cp\u003eTherefore,\u0026nbsp;\u003c/p\u003e\n\u003cp\u003en =\u0026nbsp;\u003cimg width=\"78\" height=\"33\" src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003en= \u003cu\u003e3.8416 * 0.30 * 0.70\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;0.0025\u003c/p\u003e\n\u003cp\u003en=\u003cu\u003e\u0026nbsp;0.8067\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;0.0025\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003en = 323 pregnant women\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe total sample size of 323 pregnant women was distributed proportionally across the five selected health facilities based on each facility’s average annual ANC attendance.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSAMPLE SIZE FOR QUALITATIVE SURVEY\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor the qualitative component, a purposive sample of participants was selected to ensure representation of diverse experiences and perspectives. A total of four (4) focus group discussions (FGDs) were conducted with pregnant women attending ANC services across different health facility catchment areas. Each FGD consisted of 6-8 participants, selected to reflect variation in age, parity, and health-seeking behavior.\u003c/p\u003e\n\u003cp\u003eIn addition, 8 to 10 in-depth interviews (IDIs) were conducted with healthcare workers directly involved in maternal and malaria-related services. These included nurses and midwives. The sample size was guided by the principle of data saturation, where interviews continued until no new themes emerge. This approach is sufficient to capture a wide range of views on the barriers to malaria prevention in pregnancy.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292370\"\u003e3.5 SAMPLING TECHNIQUES\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eQUANTITATIVE COMPONENT\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study employed a systematic random sampling technique to recruit pregnant women attending antenatal care (ANC) at the five purposively pre-selected rural health facilities: Matumbo Health Post, Kalalantekwe Rural Health Center, Mulanga Rural Health Center, Lwanya Rural Health Post, and Ilondola Rural Health Center. These facilities were selected based on their geographic distribution and ANC caseloads. The Shiwang’andu District Health Office was used to collect district-level data on the prevalence of malaria in pregnancy.\u003c/p\u003e\n\u003cp\u003eAt each facility, the required number of participants (based on proportional allocation) was drawn from the ANC attendance register. Eligible pregnant women were approached consecutively using a sampling interval (k) determined by dividing the expected ANC attendance during the data collection period by the number of participants needed at that facility. The process continued until the facility-specific sample quota was achieved.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQUALITATIVE COMPONENT\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA purposive sampling technique was used to select participants for the qualitative component.\u003cbr\u003e\u0026nbsp;Healthcare workers were selected from the five participating facilities based on their direct involvement in maternal and malaria-related services. This included midwives and nurses.\u003cbr\u003e\u0026nbsp;Pregnant women were recruited for focus group discussions (FGDs) to ensure diversity in age, gravidity, education, and exposure to malaria prevention interventions. Selection was supported by ANC staff who were familiar with the clients’ backgrounds.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292371\"\u003e3.6 INCLUSION AND EXCLUSION CRITERIA\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePREGNANT WOMEN (QUANTITATIVE AND QUALITATIVE)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInclusion Criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003ePregnant women attending antenatal care (ANC) services at any of the five selected rural health facilities.\u003c/li\u003e\n \u003cli\u003eResiding in Shiwang’andu District for at least six months prior to the study.\u003c/li\u003e\n \u003cli\u003eAged 18 years or older\u003c/li\u003e\n \u003cli\u003eWilling and able to provide informed consent.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eExclusion Criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003ePregnant women who are too ill to participate at the time of data collection.\u003c/li\u003e\n \u003cli\u003eWomen who have already participated in the survey or focus group (to avoid duplication).\u003c/li\u003e\n \u003cli\u003eNon-residents or women visiting from outside the district.\u003c/li\u003e\n \u003cli\u003eNot willing to give consent.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eHEALTHCARE WORKERS (QUALITATIVE COMPONENT ONLY)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInclusion Criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003eHealthcare workers (e.g., nurses and midwives,) involved in maternal health and/or malaria prevention services at any of the five selected health facilities.\u003c/li\u003e\n \u003cli\u003eHaving worked in the current facility for at least six months.\u003c/li\u003e\n \u003cli\u003eWilling and able to provide informed consent.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eExclusion Criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003eAdministrative or support staff not directly involved in maternal or malaria services (e.g., cleaners, security guards etc).\u003c/li\u003e\n \u003cli\u003eStaff on leave or secondment during the data collection period.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"_Toc205292372\"\u003e3.7 DATA COLLECTION PROCEDURE\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eQUANTITATIVE COMPONENT\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData for the quantitative component were collected using a structured, pre-tested questionnaire administered to pregnant women attending antenatal care (ANC) services at the five selected rural health facilities. The questionnaire covered socio-demographic characteristics, knowledge about malaria in pregnancy, use of preventive measures such as intermittent preventive treatment in pregnancy (IPTp) and insecticide-treated nets (ITNs), as well as reported data on malaria during the current or previous pregnancies.\u003c/p\u003e\n\u003cp\u003eIn addition to the survey, retrospective facility records (ANC and HMIS malaria registers) were reviewed to extract data on the number of malaria cases in pregnancy and total ANC visits from 2017 to 2024. These data were used to calculate annual prevalence trends of malaria in pregnancy for each facility and for the district overall, with district-level data collected from the Shiwang’andu District Health Office.\u003c/p\u003e\n\u003cp\u003eTrained research assistants administered the questionnaires through face-to-face interviews conducted in private spaces at the health facilities. Data were collected in either English or the local language, depending on the participant’s preference.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQUALITATIVE COMPONENT\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQualitative data were collected through in-depth interviews (IDIs) with healthcare workers and focus group discussions (FGDs) with pregnant women.\u003cbr\u003e\u0026nbsp;IDIs with healthcare workers explored their experiences, knowledge, and perceptions regarding the implementation of malaria prevention interventions, including IPTp administration, availability of malaria commodities, patient adherence, and systemic challenges.\u003cbr\u003e\u0026nbsp;FGDs with pregnant women explored sociocultural beliefs, the perceived burden of malaria in pregnancy, barriers to accessing services, and perceptions about preventive measures.\u003c/p\u003e\n\u003cp\u003eAn interview guide and FGD guide, developed based on the study objectives and literature review, were used to facilitate discussions. All interviews and FGDs were audio-recorded (with participant consent), and notes were taken by the research team. Discussions were conducted in local languages and later transcribed and translated into English for analysis.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292373\"\u003e3.8 DATA ANALYSIS\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eQUANTITATIVE DATA ANALYSIS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQuantitative data from structured questionnaires was be entered into excel and exported to STATA version 14 for analysis. Descriptive statistics such as frequencies, percentages, means, and standard deviations was used to summarize participants’ demographic characteristics, knowledge levels, and prevention practices.\u003c/p\u003e\n\u003cp\u003eTo estimate prevalence trends, retrospective ANC and malaria case data from 2017 to 2024 was used to compute annual prevalence rates of malaria in pregnancy for each facility and the district as a whole. Where appropriate, chi-square tests was used to assess statistically significant differences between categories and test for associations.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQUALITATIVE DATA ANALYSIS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQualitative data from in-depth interviews and focus group discussions was transcribed, translated into English (if needed), and analyzed using thematic content analysis. The analysis followed familiarization, coding, theme development, and interpretation.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTRIANGULATION OF FINDINGS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFindings from the quantitative and qualitative analyses was integrated at the interpretation stage to allow for convergence and comparison. Quantitative trends was interpreted alongside qualitative themes to provide a comprehensive understanding of the factors influencing malaria prevention.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292374\"\u003e3.9 VALIDITY AND RELIABILITY\u003c/h2\u003e\n\u003cp\u003eTo ensure validity, the study used pre-tested, structured questionnaires developed based on existing literature and aligned with the study objectives. Content validity was enhanced by expert review, while triangulation of data sources, quantitative surveys, facility records, and qualitative interviews, strengthened internal validity. Reliability was maintained through standardized data collection procedures, training of research assistants, and daily review of completed tools to ensure consistency and completeness. In the qualitative component, reliability was supported by using an interview guide, consistent probing, and transcription of interviews to ensure accurate representation of participant responses.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.10 LIMITATIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study has several limitations. Its cross-sectional design limits causal inference, allowing only for associations rather than temporal relationships. Self-reported data from pregnant women may be affected by recall or social desirability bias, while retrospective facility records may contain incomplete or inaccurate information. The study is also limited in generalizability, as it focuses on five rural health facilities in Shiwang’andu District, and findings may not reflect other settings. Additionally, qualitative data may lose true meaning during translation from local languages, and the small number of healthcare workers interviewed may restrict the breadth of perspectives captured.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292375\"\u003e3.10 ETHICAL CONSIDERATION\u003c/h2\u003e\n\u003cp\u003eEthical approval was sought from the ethics review committee of the Tropical Diseases Research Center (TDRC) and registered with National Health Research Authority (NHRA). Permission to collect data from the participants was obtained from Muchinga Provincial Health Office and Shiwangandu District Health Office and ensured compliance with the Zambian Code of Ethics (ZCE). The study adhered to the four core principles of research ethics: autonomy, beneficence, non-maleficence, and justice.\u0026nbsp;\u003c/p\u003e"},{"header":"CHAPTER FOUR: RESULTS ","content":"\u003ch2\u003e4.1 INTRODUCTION\u003c/h2\u003e\n\u003cp\u003eThis chapter presents the findings of this study that responds to the objectives of the study. The findings highlight the social demographic characteristics of both the pregnant women and the healthcare workers, prevalence trends of malaria in pregnancy in Shiwang\u0026rsquo;andu district from 2017-2023, the knowledge levels of malaria in pregnancy among women attending antenatal care, the knowledge levels among health care workers on the prevention of malaria in pregnancy, and the practices on case management of malaria in pregnancy.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292379\"\u003e4.2 SOCIAL DEMOGRAPHIC CHARACTERISTICS\u003c/h2\u003e\n\u003cp\u003eTable 4.1 below shows the social demographic characteristics of the pregnant women that participated in the survey. Results show that the mean age of the pregnant women was 23years (Std dev 13.14) with minimum age of 16years and maximum age of 38years. Majority (37.5%) of the women had a secondary education, most of them were single (74.3%), majority (46.1%) were farmers, and all of them were Christians. Majority of the women had a gravidity of the range 3-4 pregnancies (47.9%), and the highest parity was 0-2 children (52.6%), most of the women also were in there 2\u003csup\u003end\u003c/sup\u003e trimester, and the highest number of ANC visits attended by the majority was 5-6 visits (38.6%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.1 Social demographic characteristics of pregnant women\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency n=323 (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMean age\u003c/p\u003e\n \u003cp\u003eStd deviation\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eMinimum and maximum age\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e23years\u003c/p\u003e\n \u003cp\u003e13.14 (2d.p)\u003c/p\u003e\n \u003cp\u003e16years, max 38 years\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eEducation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePrimary\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eSecondary\u003c/p\u003e\n \u003cp\u003eTertiary\u003c/p\u003e\n \u003cp\u003eNo education\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e81(25.1%)\u003c/p\u003e\n \u003cp\u003e121(37.5%)\u003c/p\u003e\n \u003cp\u003e101(31.3%)\u003c/p\u003e\n \u003cp\u003e20(6.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMarital Status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003cp\u003eDivorced\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e83(25.7%)\u003c/p\u003e\n \u003cp\u003e240(74.3%)\u003c/p\u003e\n \u003cp\u003e0(0.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eOccupation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBusiness woman\u003c/p\u003e\n \u003cp\u003eFormal\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eFarmer\u003c/p\u003e\n \u003cp\u003eHousewife (full-time)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e85(26.3)\u003c/p\u003e\n \u003cp\u003e20(6.2%)\u003c/p\u003e\n \u003cp\u003e149(46.1%)\u003c/p\u003e\n \u003cp\u003e69(21.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eReligion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eChristian\u003c/p\u003e\n \u003cp\u003eMuslim\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e323(100.0%)\u003c/p\u003e\n \u003cp\u003e0(0.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHealth facility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMatumbo Health Post\u003c/p\u003e\n \u003cp\u003eKalalantekwe RHC\u003c/p\u003e\n \u003cp\u003eMulanga RHC\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eLwanya RHC\u003c/p\u003e\n \u003cp\u003eIlondola RHC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e67(20.7%)\u003c/p\u003e\n \u003cp\u003e75(23.2%)\u003c/p\u003e\n \u003cp\u003e62(19.2%)\u003c/p\u003e\n \u003cp\u003e58(17.9%)\u003c/p\u003e\n \u003cp\u003e61(19.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eGravidity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1-2\u003c/p\u003e\n \u003cp\u003e3-4\u003c/p\u003e\n \u003cp\u003e5-6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;120(37.2%)\u003c/p\u003e\n \u003cp\u003e155(47.9%)\u003c/p\u003e\n \u003cp\u003e48(14.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eParity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e0-2\u003c/p\u003e\n \u003cp\u003e3-5\u003c/p\u003e\n \u003cp\u003e\u0026gt;6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e170(52.6%)\u003c/p\u003e\n \u003cp\u003e138(42.7%)\u003c/p\u003e\n \u003cp\u003e15(4.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eGestational Age\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1\u003csup\u003est\u003c/sup\u003e trimester\u003c/p\u003e\n \u003cp\u003e2\u003csup\u003end\u003c/sup\u003e trimester\u003c/p\u003e\n \u003cp\u003e3\u003csup\u003erd\u003c/sup\u003e trimester\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026nbsp;68(21.1%)\u003c/p\u003e\n \u003cp\u003e142(43.9%)\u003c/p\u003e\n \u003cp\u003e113(35.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNumber of ANC visits\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1-2 vistis\u003c/p\u003e\n \u003cp\u003e3-4 visits\u003c/p\u003e\n \u003cp\u003e5-6 vistis\u003c/p\u003e\n \u003cp\u003e7-8 vistis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e72(22.3%)\u003c/p\u003e\n \u003cp\u003e110(34.1%)\u003c/p\u003e\n \u003cp\u003e125(38.6%)\u003c/p\u003e\n \u003cp\u003e16(5.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 4.2 below shows the social demographic characteristics of the healthcare workers that participated in the in-depth interviews of the qualitative component. 2 healthcare workers were interviewed from each health facility. Most of the healthcare workers were registered nurse-midwives (40%), and majority of the healthcare workers had 3-4 years of experience (40%). This shows that the respondents had the relevant knowledge and experience necessary for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.2 Social demographic characteristics of healthcare workers\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eVariable\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eFrequency n=10 (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHealth facility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMatumbo Health Post\u003c/p\u003e\n \u003cp\u003eKalalantekwe RHC\u003c/p\u003e\n \u003cp\u003eMulanga RHC\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eLwanya RHC\u003c/p\u003e\n \u003cp\u003eIlondola RHC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eProfession\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRegistered nurse midwife\u003c/p\u003e\n \u003cp\u003eRegistered Midwife\u003c/p\u003e\n \u003cp\u003eRegistered Nurse\u003c/p\u003e\n \u003cp\u003eClinic officer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e4(40%)\u003c/p\u003e\n \u003cp\u003e1(10%)\u003c/p\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003cp\u003e3(30%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eYears of experience in maternal health\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e1-2 years\u003c/p\u003e\n \u003cp\u003e3-4 years\u003c/p\u003e\n \u003cp\u003e5-6 years\u003c/p\u003e\n \u003cp\u003e\u0026gt;6 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e3(30%)\u003c/p\u003e\n \u003cp\u003e4(40%)\u003c/p\u003e\n \u003cp\u003e2(20%)\u003c/p\u003e\n \u003cp\u003e1(10%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2 id=\"_Toc205292380\"\u003e4.3 PREVALENCE TRENDS OF MALARIA IN PREGNANCY\u003c/h2\u003e\n\u003cp\u003eFigure 4.1 shows a line graph of the prevalence trends of malaria in pregnancy from 2017-2024 in Shiwan\u0026rsquo;gandu district and the trends in the 5 health facilities assessed. The graph shows that there have been fluctuations in the prevalence with a general downward trend from 2017 to 2024. Kalalantekwe RHC had the highest prevalence (17%) in 2017 and Lwanya RHC had the lowest (13%). All health facilities had lower trends in 2022 with Ilondola RHC an Lwanya recording the lowest prevalence (8%). However, despite the lower trends recorded in 2022, the preceding years show an upward trend as seen by the graph below.\u003c/p\u003e\n\u003cp\u003eFigure 4.2 shows the district trend of malaria in pregnancy. Results show that there have been fluctuations in the prevalence since from 2017 to 2024 with the highest being 14% in 2017 and 2020 and the lowest being 9% in 2022. However, the results show an upward trend in the last 3 years from 9% in 2022 to 14% in 2024.\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003e4.4 KNOWLEDGE OF MALARIA IN PREGNANCY\u003c/h2\u003e\n\u003ch3 id=\"_Toc205292382\"\u003e4.4.1 PREGNANT WOMEN KNOWLEDGE\u003c/h3\u003e\n\u003cp\u003eQUANTITATIVE FINDINGS\u003c/p\u003e\n\u003cp\u003eTable 4.3 below shows the knowledge levels of pregnant women on malaria in pregnancy. All (100%) the pregnant women knew correctly that malaria is caused by a mosquito bite. Most of the women knew that malaria can affect pregnant women more than others. These findings show that the women had good knowledge about malaria in pregnancy.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.3 Knowledge of malaria in pregnancy among pregnant women\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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cnLS+b/b+ldTq9VgGAZ0Xcf8/LynbYaGhlAul2EYBpaWljxtmsvlEI/HXTX9Z5pgMLhqW9q2jb1792JlZcV3new2vWzDEh+ZJiIiIiKirqVSKWia5vxfr9cRjUY9ZdbblStXEI/HnQBveHgYZ86ccfJ1XXeVBq5evYrp6WkIIWBZFtLptCd/amrK83+39a8mFouhXq/jD3/4gycotW0b5XIZAHyD1Q8++EBNQiaTgWmangC+lWAwiOvXr2/KOtnpGBATEREREVHX7rnnHnzyySeetHK53PSe7HryCx6/+eYb5+/Lly87f1erVZw/fx4nTpwAGtOOjY0hkUg4ZVTd1L+aTCbj3AEeHh725H311Vee/1Xff/+95/9qtYrx8XFMTk4iFAp58loZHh6Grusol8t8p7gNBsRERERERNSTwcFB5HI5T9rU1FTbDqhKpVJTR1urffwCulKphGQy6dzlLRaLGBkZcfIHBwd9Hzt+8MEHnb8jkYgnz221+tuxbRtvvfUWAODQoUNqNu677z41yeNnP/uZ87dt2/jNb36DWCzmuzztxGIxAMBbb721amdd/YoBMRERERER9SwejyOVSnnSRkdHUSqVPGnrKZPJYP/+/Z5Hnvfv3982EPdz5MgRNQlYh/pv3rzpvHf885//XM1GKBRyHr/2C1R/9atfOX///ve/x8rKCq5cueIp04n/7//7/4DG4+wfffSRmk0MiImIiIiIaK0uXLjQdLf12WefRa1W86Sh8SivEKKrz9jYmKeOsbExzM3NOXdApU4CcfkItGEYLe+4rqV+APjrX//q/H333Xd78iT5+HW5XEa1WsWHH34IKPNVKBRw8eJF/O///q/zOLd7CKlwOIxsNuuq1cv93X7vJRMDYiIiIiIiWgd/+tOfYBiG83+9XkcsFsOPP/7oKbdeRkZGkM/nmx7ZvnHjhud/N9u2nbu8165dU7M9eqlfunXrlvN3q8ejR0ZGMDc3B8Mw8Oijj2JqagqpVMrpQdq2bfy///f/kEqlnHeQJyYmMD4+Dk3TYFkWAODFF1/0faQcAB5++GHn78XFRU8e/YQBMRERERERrVkwGMS1a9c8PU+Xy2W89tprnnLr9Q6xFI/HPb1H+92VlmZmZlCv15HL5TA4OKhm++qmfsk9TFO7TrBGRkawtLQEIQRWVlZw4cIF507wyZMnMTAwgN/97ndA43svXrwINN5LDgaDzh3s8fFx3/lydxLmnif6DwbERERERES0LgYHB/G///u/njQ5vNBGOnr0qJrURPbUPD093fJR6VY6qX89ZbNZzM7O4i9/+YsT1Pq9A3zPPfc4f7vvSlPnGBATEREREdG6GR4exvT0tJrsWI93iFXuO6GPP/64Jw+Nx48PHDiARCLhDMPUjdXqX0+1Wg2vvvoq0um05y72Dz/84Cmn+vbbb9Uk6gADYiIiIiIiWlcnTpxoO95vL0qlEgYGBhCNRpseD3b31PyLX/zCkwcA0WgU8Xgck5OTnnQ5tJL8u9f6Ve7Hxv16kW4nFotB1/WmiwDuu8F+/Hqzdi+He57oPxgQExERERFRVzrpKGtyctLTydZaffbZZ6jX61hYWIBhGMhms7BtG7Zt49y5cwDg6YBKSiaTKJfLmJqaano3ef/+/c5d2F7r93Pw4EHn76+++sqT104mk4FpmpidnVWz8PTTT6tJnrvGe/fu9eQBwL/+9S/n7z179njy6CcMiImIiIiIqGO1Wg2vvfYarl69uuoQRPPz8+t2Z9J9h7Rer+PFF1/Evffei3vvvRdTU1NIJBK4cOGCZ5pMJuMZS9jPE088AfRYfyvucYQ7uXgA1zvOb775pm9HXKFQyBnv+f3334dt207gPD097XmsW3J/969//WtPHv2EATEREREREXUkk8lA13WUy2WYpon9+/cjGo2qxRzBYBCffPIJfvazn6lZXTtx4gTS6bTnrrOu60gkEigWi02PQ+fzeYyPj3vSVJqmOXeIu62/naefftq5EPD3v/9dzW5i2zZ+85vfIBaLtX3H+cKFC0in06jX67j33nsBAHNzcy2n+fLLL4HGcj733HNqNgEICCGEmtiJQCCAHiclItqWuF8jIqJ+xOPfxshkMhgfH4eu61heXlazN8XQ0BDK5TLS6XTTO8m7yVq2YQbEREQN3K8REVE/4vFv48iAtFgsdvTu8XoqlUrYv38/DMPA0tKSmr2rrGUbZkBMRNTA/RoREfUjHv82jm3beOihhzAwMIDPP//c9z3fjWDbNvbu3YuVlRWUy2Xfd5J3k7Vsw3yHmIiIiIiIaAMEg0GUy2VomoZoNIpqtaoWWXfVahXRaBSapvVFMLxWvENMRNTA/RoREfUjHv82RyaTwTfffNNV51y9SCaTePDBB3f1O8OqtWzDDIiJiBq4XyMion7E4x/tdGvZhvnINBEREREREfUlBsRERERERETUlxgQExERERERUV9iQExERERERER9iQExERERERER9SUGxERERERERNSXGBATERERERFRX2JATERERERERH2JATERERERERH1JQbERERERERE1JcYEBMREREREVFfYkBMREREREREfYkBMREREREREfUlBsRERERERETUlxgQExERERERUV9iQExERERERER9iQExERERERER9SUGxERERERERNSXGBATERERERFRX2JATERERERERH2JATERERERERH1JQbERERERERE1JcYEBMREREREVFfYkBMREREREREfYkBMREREREREfUlBsRERERERETUlxgQExERERERUV9iQExERERERER9iQExERERERER9aWAEEKoiZ0IBAJqEhEREREREdGm6zGsXVtA3OOkRETbEvdrRETUj3j8o51uLdswH5kmIiIiIiKivsSAmIiIiIiIiPoSA2IiIiIiIiLqSwyIiYiIiIiIqC8xIN4AtVoNExMTGBgYULP6XqFQQDQaRTQaVbNoHWxG+9ZqNYTDYYTDYdi2rWYTEREREe0YmxIQZzIZBAIB30+pVHLKqXnys5En9+stn88jFovh4sWLqNfranZfy2azeO2117CwsKBm0TrYae1bKpUQj8ed3/nAwACSySSD7F0gGo1iYGDAs3/vlm3byGazCIfDyGQyaravnXSxJp/PIxqNNi1boVDAwMAA4vG4J52IaLfJZrNrOk6sl1Kp1LQvpv6yKQHx2NgYLMtCLBZz0orFIoQQGB4edtKEEKhUKtB1HQCg6zpM08T8/LxTZruLx+NYWlpSkwnAiRMn8Ic//EFN3jG2y467lc1q31AohOXlZSwvLyMYDKrZHSkUCnj22Wdx6tQpCCFgWRbi8Timpqawd+/ebR/M7ETqhUa/TzQaRTKZRKFQUCffVLVaDTdv3sSrr74K0zTV7B2tVqshmUwimUzumItXRESt2LaNZDKJgYEBBAIBxONx1Go1tZiHbduIRqN44oknPHGAzOu0vnw+j3A47By/Vjt3qNVqGBoaaio3PDyMffv2dVQH7U6bEhADQDAYxKlTp5z/1R+ANDg4iHA4DAA4fvw4QqGQWoRoS7z99ttqEvXotddew8GDB539QDAYxOTkJAzDgGmauHnzpjoJrZEQAsVi0fk/kUjAsiwIIZyLkU899RTy+TyeeeYZDA0NoVqteuro1Pz8PFZWVlru51cTCoVw4sQJnDlzRs1qaz0u1my0UCiEycnJlss2MjKClZUV5PN5Nasju+3OcrVa5Z0bom3Ktm3s3bsXS0tLKJfLsCwLAwMDMAyj5fFDBsNnz57F4OBgU16n9RUKBYyOjuL8+fOwLAvLy8s4fPiwp4wqFovhD3/4g+/xYXh4GEeOHGFQ3Kc2LSAm2smy2eyuu1O1lUzTxOLiYtNV30OHDgEA/vrXv3rSaX0MDw8jEokAAB588EHPScHg4CDGxsZQLpdhGAbK5TIOHDjQtI5o+8rn8/j+++/V5B0tm82qSUS0TRw+fBimaWJ2dhahUAjBYBBvvPEGAODYsWNqcQDAyZMnMTQ05HvBtJv6XnvtNei6jng8jmAwiFdeeQULCwstn+SbmJjAoUOHfL9Xisfj0HUdJ0+eVLNol2NATLSKarWKV199VU2mNZB3x/7973+rWQCAxx9/XE2iTRIKhTA/Pw9N01Cv15FMJtUitA3Zto2zZ8+qyTtatVrF1NSUmkxE20CpVMLCwgJisZjnac5gMIh4PI5yudz0pEuhUMDs7CxOnDjhSUcP9ZXLZeeJUgB45JFHAACfffaZkyaVSiXcvn0bY2NjalaTU6dOYXZ2dstfHaLNtSMD4mq1ing87rxfIDtdcT/i4NeRV6t09+NY7vRWV5lUmUzGeYdhYGBg1ce7MpkMhoaGnO+Jx+Mdf5dt28jn8xgaGnKWOZlMOnW16pTItu2O57OT9pXl5HseaOzoZP3hcLinnYlcttWWpxV1Of0+7rZWy6vtUigUcODAAaeDtP379yPQQUdvpVLJWS9otFU0Gm1qG7n+ZFu3Wt5sNutpl6Ghoa7bt1QqOfMg50PdBmq1mqcjo2q1inA4jIGBAef71GVTp3dvO606yhobG8PKykrT41Iff/wxAODo0aOedNpcwWDQuWjR7oo7bR/nzp3bVU+x2LbddEeIiLaPGzduAAAee+wxNQtPPvkkAOCDDz7wpJ8+fRq6rjcd+9Flfd0ck2zbxpEjRzA5Oalm+RoeHoamaTh9+rSaRbuZ6FEvkxaLRQFg1WkjkYgAINLptJolcrmcACCmp6eFZVnCsiyRSqUEAGEYhrAsyymbTqed73OnyzoAiGKx6KQLIYRlWU79nUgkEkLTNKeeYrEoDMPwXU7LsoRhGMIwDFGpVJzyuq4LACKXy3nKq0zTFNPT00796XTaqc/9nYZheKaT35tIJJw2SyQSAoBIJBKesp2279zcnJMOQMzNzQlN00QkEhGapnnS3eQ2EIlEPOmi0ZaGYQjTNIUQQkxPTzd972oMw/CsD/e6Vtu3m3aR26S6vfjJ5XJOPfJ7DcMQ6XRaxGIxJ71SqYhIJCISiYRIpVJOu6VSKU99cjuW82+aprPNqPPTqn1lulwuy7KceZG/M8uyRDqdduYjkUiIRCLhLHsikWhaNjfLsoSmaZ71JeddnR8/ch79fvebRV2mThWLRaedAAhd17d0Odppt391k/tCdbvJ5XIiEomISCQiLMtqqs80TWd7dm+fcv8l20buWzRNE5qmNW33wrX9uOfVvV9Xt8Nisehsn26VSsUzT6ZpOtu/rutN+wapWCx6frPqp5PtWjS+311PJBJp+v1J7vaVVmt397bn/ly5cqUpzV2v/M3Jj7o/kdRysqxfurt+93y5l9N9HENjH+8+Vrj3cerHTV0/kUjEObaKDtqNiP5D/X2tRv5G1fM84dpnaJrWlKaeX0nd1CePT377M/W3HYvFfOtsR+5X3PsT2v663Ybdep6yly/1O3i2+6gbtWmaQtM03x+T3HjVPPkDk0GWJA+K6gmAaZqeH1g78sRMrcO9nG4ygFTnpVKpOOXVPD/ye3Vd93x3q+BPBjVuMnhxz38v7Su/L5VKOUGQ1Qg05Ty6ybZR5yeXywlN05w6pG5OXuTyqyfW8gRZ/c5O20W02V7a8VsXwlVXJBLxrG/ZNmqbyflx8wsURJv2levPPf+tysq63RdWisWiZ93IZXOTFzDUefIr6yfSuDiwlTqZT5Vsx3YXG7aTbn5Tcv8ptxF3ICPXl/x9yf2RO2CV25ulXGxJpVIiEomIVCrluRik/lZabee6rotIJOI5yWl1sUYGwzJdLkM6nfaUV/e9c3NzAo31ajUumLXar7VTqVSc/aqsx91G7mVLu4Jb9+9ytXYXbX7P8ncpl10lTyzVtlfJ+qGcsMrlU5dFcl90FF1e4Gu1/oXrmCGnKRaLzsUVeRLbSbsR0U/Q5fFP7g/U361ocR4s98N+v2fRQ326rnt+x3Jf594/TU9P93ReIfc96vkkbW/dbsNuPU/Zy5f6bdB+Wp2wyR+T35WeVkFlqwOqDJ5isZgnPZVKrXpiIGma1vKgqi6nPOlwBxlurQJOP62WSfgEf+1OdmQ7yx98L+2rLqdkmqaT5965tTppkydNKrmsrdrNrVUQIk9s3d/ZTbu40/x21K20apt2689vGqPxBIBbqzpata8MOvwCcLVsq7rd/OZTtrO6/fiVVRUbT1ZstdXm0083Fxu2g1b7Vz+yrLtd5LK5t6dKpeLZtlr9XuQ+xlCe+mi1P/bbFhONJypaUedXkoGRup+R+0w1WJRBmns+W+3XWpEX2Py2g1brodW2s1q7t5pOuNrdr93m5uY6/u3JtlL3m37rSVLXdTcX+Fqly/WgrgNZ3t0Gq7UbEf1E/V2upt2+UP7u4LrLKvd56jmC1G198pwjl8sJy7KEruuefVmlUvHsfyzXU4B6myeDhCu49tuf0vbV7TbstqPeIV5cXAQA3H333WoWBgcHoWkaAODWrVtO+nPPPQcAuHr1qpOGxnsIkUgEs7OzTi+qtm1jdna2o2ErSqUS6vW654X+dj7//HOg8W6enwMHDgCuZezVL3/5S6Dx3h8AfPXVVwCA0dHRpndpZZnbt28DPbZvK6FQCIZhAC06OFCVy2VMTU01zeP4+LiTvxr5LrPKb3m6aZettrS05IxtLd/bfuutt9RibV24cAErKysIhUKo1WrIZDI4cuSIWmxNRkZGIITAyMiI5133Tty4cWNHjTfupus6NE3Dfffdp2btanv27HE6PhkcHOxoiLx77rkHaPQm7t4X3n///QDQtodkuzFUx5NPPokLFy6o2auS3/f888970h988EEAwA8//OCkVatV531c93y692uduHnzJur1uu9v7amnnlKTOtJLu//ud7+DpmmYmppqep//8uXLeOmllzxprci2u379uiddHmfV/VKhUMDQ0JCnDXVd76oN/czMzEDX9abeYvft2wc0jn/qcvbSbkS0dnfddRfgOi/1OyfrhqxvZGQEuVwOZ8+exb333gvDMJzzCNkHwbVr15z9z+HDh7G4uAjLsnD+/HmMjo627ItFdtDFseL7x44KiFcLivbs2QMA+Pbbb520UCiEWCwG0zQ9nQI99thjzknKzMwMAOCjjz5CLBZzpm2nkyDP7csvv1STPOSPb62dorTa0czNzaHxREDTR+5AemnfdloF/62kUqmmeXN/ViM7XZAdM0nfffcdAODXv/61Jx0dtst2UCqVMDQ0hPHxcTz55JNIJBJqkVXJDq8OHjyIe+65B+fPn1eLrJlt25iYmMDevXvxz3/+E9euXVOL+NI0revtZbvYjIsNW2V5eRkAnKGatsoXX3yBhx56CKFQqKMLlmslT7j8dLOdyuHDZMC/VWQnafV63TneobFPuHXrVsdtOjw8DF3XsbCw4BmO6+bNm4jFYqjX655eYC9fvtzUm+x6XOC7ffs2TNNsupi5f/9+p4y86ElEW2u9Lz6564vH41heXoYQAvl83tk/nzt3DseOHXM676pWq1hYWMDx48edXqt1XWfHWeTYUQGxrusAgDt37qhZHvIqsXTq1CkAwHvvvQcAOH/+PI4ePYqnn37ac9X80qVLG9a77QMPPAB0cHd1vU481Svwf//73z3/++m1fVfz85//XE3ytda74/F4HIlEAgsLC87YlbVaDWfPnoVhGE0nZuiwXbZaMpnE/v378frrr2N+fh7xeNy509apfD4PXdeh6zqWl5dx4sSJdT9Jr1areOihh3D79m18/vnnuHDhgm9PkqparYb//u//VpN3lM242LDZbNt2LtBt9TBY8umPqamppmE8NkIoFHL2h2pvpsvLy9A0renupJ/tdHfh6NGj0DQN4+PjTjD7zjvvdH1x7ZVXXgFcF5Jt28YXX3yBixcvAgAuXboENH4Ttm377gPW4wKfYRhNFzHdn07WDxH1Tj412E4nZaROynZSplAoYGVlxXPOJ/fF7vPXcDgM0zSbniah/rSjAuKDBw8CAD755BM1C3CdqDz88MOedHlVe3Z2Fvl8HqHGYN/yKlG9Xsfvf/976Lre8ZUs96NZ7ivlrci7q/V6HdVqVc127mL2+hid9OOPPwKutpKPcU5NTfl+r90YdghraN9W5E5m7969alYTXdebxphzm5iYUJN8vfHGGzAMA9euXUMgEIBhGDh48GDT3d5u2mUryXE4E4kERkZG1OyOJZNJ6Lre06OmnXrzzTdRr9cxOTnZ1V20zbrrt1E242LDVnDfSfztb3/rydtsDz74oLNfGh0d9f3Nrre//OUv0DQN//M//+Ps4zOZDEzTxB//+Ee1+LbnHkrrnXfecV5r6PYi8HPPPedcSEZjO3nhhRcQCoUQiURQLpdRKpUwMzPj+yj2elzgQ+OJJp7IEm0dec7odxNFpskynViP+mq1Gk6fPo0rV66oWS3xaRLCZgfEMljr1csvvwwAmJ2dbbpqX6vVYJomzpw543syLq9qJ5NJpx4AzhWkixcv4oUXXnDSVyODbDQe9W1FHrBDoZBzFVy+F+v26aefQtO0rk5OvvnmGzXJuQsu65EnKfV6HQcOHEA+n3fmSY6NK4P7tbSvelGgWq2iXC4jkUj4llcdP34caJzsZjIZp75arYZkMtnRCZPdeMfw2rVrWFpaghACKysrvgFaN+3iR22fjfKPf/wD8Glfdd23OzGsVquo1+tYWVnxlJMXYaR2dXRC3uH/17/+5aSp8+33HYVCwXec651iMy42bLZareY8xhqLxXzv8m22wcFB5HI5oNHnwkYHxYODg3jzzTeBxt3IQCCA999/H3Nzcx1fnJJP/MjxNbeavEs8NTWF3//+9zh48GDHF4El94XkbDaL999/32kP+arAjRs3fPvjWK8LfHKez507p2YBjXHb1X0PEa0vec7sdxNF7p/d59Vyf6iee0jd1ucnmUzi+vXrTed87fjd5JHxyno9tUk7gNrLVqe6ndRyDUUCnx49JfcQDrquN/UEKXsjdQ+3YJqmb0+8brJXYbWHUdHoBbNVb9HtuOc10hgCZG5uzrOcsVjM6cnOcg3b4R6Gwq+r+HZkT5rudrRcQ3moPeeZjeGU5DTuj9oe3bavrMdwjR9cbPQYrPYuKly9neq63pQn20b9+NXjR7ZjLBYT6XTa+czNzYliY+xRt27aRa5TwzBEKpVq6vVUJXs/hDKOnft3EIvFPMvl7kVRtr27d2+5XIZhOHXoui4SiYSzbK3aVy6n0RhuJtIYgkTWnUqlxNzcnLBc43RGGuN2qvx6exSuNtI0TaQbQ9rEYjHnuxOJRFO7uXvtbbVP2Ezocr8m14+mDBkmf0eyh0p3L5dym9wqrXo3luTvXW4v6jYg13+73jdb9TLdqtfgVnX6lZdpfvMmXPskVbfzlMvlmnq97pbcDuAznqX8XrXn51Zt0SpdUvMty2r6TqEcP9S26JR7u1ePN/L3ri6XaNNzq9wXyXUg16u6biqVirAsy7MPisViznJaliWmp6c99avtQkT+4LPfXE0kEmk6/lmN3vXVc0Z5fqLua926qU+VTqd99zvCtR9wf7c6bJNbq/0zbW+9bMNSz1N286XuA7D6cR+Q1Tz5UQ9kxWLRE3QahtHRyXQikfA9Acjlcm1/oO1UKhXPvMhAV/6tfp88IZZDemiN8Sn9Tlxake0pAw53O6jfJ1mN7ublyYqu6y3brJv2lWWmp6c9y5RyjUssyRNS90dtd7Vt/OppxX2BotVH/b5O26VSqTjztdoO0m85I5GI5yTO/SkWi77TyHnNNcbbROPkzzRNJ5jXdd3ZdtrV4Z5/93ZiGIZzUttu/totm/skVua727HdkC/CNQ/d/AY2CrrYr0ly3ax2sUEo+8Kt4F7H7otyorGNpF1jBasXbCS5PjVlGC9JnrxAuchhuS4IqoGmDJTcdbq3J7W8e1t2bzfu5XOnt7vwIvd1EeUCkNYY0zbturg2PT0tisViy/2sH7ktyLqKjbGa3fu5dDrtLLfcRtSLWqu1uwxS4Rrn2W/9yfXT6kSwU0aLC8lyPlebx04u8Lm3i3Q67dkO5PeoH3Vfslq7EdFP0MNxSZ53yeOJaZpOUKse0+XvX92fu3VTn1uxg6EbI5GIs1+VFyvV44Ek99vd7Otp6/WyDUs9T7mWL6W1kSdMMhDZSvIkZDuwGndf5QmrvNAhP3IHx5MiaqWXbbmTiw1SsVgUmqa1PSHYKO6godUnEomIVCrV8sRDLY8Wd2/VOt2BqvvTKt19QUEt3+o7Wl2s8Ssv61LTZLpwnRC1+ug+TzC14g6AdV0Xc3NzTtr09LQTuKrfIedHTUOL/b8M/twXyvzEYrGWJ4KdanUhWZ7AttLpBT6hXBTxC/DlGMqyTWR9ktpmrdqNiHo7/onGb15e1HIHs370NndlpW7qE66Lravtjy3XOMSaprXdB3Yyn7T99LoNCyFEQPxUQdcCgQB6nJTWKJPJYHx8HOl0GmNjY2r2pgoEAsBPW6Catemi0ShOnz7d9t20aDSKycnJrt+bo/7A/RpJ+Xwe3377rdOXgDrU3tWrV3Hw4EFMTk560rc727bx0EMP4euvv+7qPTsi2t024/hXKBTwzDPPoFKpbIu+KfxUq1U8+uijXfUXQdvDWrbhTe1Ui2ijZLNZLCws4P/+7//ULEe1WsXPfvYzBsNE1FapVMKlS5cwNjaG4eFhDA8PY2xszPO5fv26OtmOMDMzg3g8zmCYiDbdyMgIYrGY02HhdpTNZhGLxRgM9xneId5hbNvGyZMnMTs7i1gshitXrmzZiU2pVML+/fsBAMVicUvHfZRXHdHoEfbQoUOe/C+++ALff/89/vSnP21Ze9H2x/0aoTHu8cDAAD7//POW+4tkMonnn39+S/d7najVavjoo4/w9NNP49///jcOHDiAcrnMC4NE5LFZxz85Isjrr7++7YLOarWKY8eOYX5+vuW+n7avtWzDDIh3EHcA6rYVwWg0GnUGOpcikUjTeL+bqVar4Z133sHi4iJM0wQag7gfPHgQv/rVr5qGACFScb9GADA0NIRyuQxN0xCPx/Hggw86eT/88AMWFxfx0ksv7Yh9irqv3g6v2hDR9rOZxz95c+fVV1/dNo9OV6tVjI+P88bJDraWbZgBMRFRA/drJOXzeVy/ft0TTBqGgYMHD+Lo0aM75g5rPp/H6OgodF3HK6+8ghMnTqhFiIi25PiXzWbxyCOPbPpNHVWpVMKdO3e4f9zh1rINMyAmImrgfo2IiPoRj3+0061lG2anWkRERERERNSXGBATERERERFRX2JATERERERERH2JATERERERERH1JQbERERrUCgUEI1GEY1G1SzaxgqFAgYGBjZ96KRarYZMJoOBgQGUSiU121etVkM4HEY4HIZt22o2ERH5yGazHe9nd7JSqYRMJqMmUxcYEBMR9SiTyeC1115rGpN7O8pkMohGowgEAggEAkgmk2qRlvL5vDOd/PTDScZ6K5VKmJmZwfj4OOr1uppNRLTjZDIZhMNhBAIBDAwMYGJiouWFO9u2kUwmMTAw4JRPJpMty6PL+iXbthGNRvHEE0/4Dulk2zay2SzC4bCa1USd53g8jlqtphZzdFM+n887yxaNRlddrlqthqGhoaZyw8PD2LdvX0d1UAuiR2uYlIhoW+plv1YsFgUAEYlE1KxtCYDzMU1Tzfal67ozTTqdVrN3pVgspiatm0gkIgCIYrGoZvVkenp63eoiov7Uy/EvEomISCQi0um0SCQSQtM0AcB3/2lZltA0TWiaJiKRiDAMwzmu6LouLMtSJ+mqfsmyLGEYhu8+0bIsMT097fnudizLErquC8MwhGmawrIsZz4qlYpavKvyc3NzAoDI5XLOdKudR7RaLimXywnDMHzbsh+stj7b6XnKtXwpEdF21Mt+bacFxDIYAyBSqZSa3UQun/x0GkTvZLlcbkPX53oHxLqur1tdRNSfuj3+5XI5kcvlPGmVSqXlsSKRSIh0Ou0J1orFohPkJhIJT/lu65disVhTXSrLspx62pH7avd3ycDeMAxPWdFlecMwhK7rzv/T09NtjwupVKqjC9KxWKztBYPdbLX12Q4fmSYi6jOJRAIAMDU1terjVefPn3fKA0AoFPLk7za2bePs2bNq8raVzWZhmqaaTES0oR5++OGmPhgGBwcRiUQAAP/+9789eQAwNjaGYDDo/D88PIzJyUmgcTxy66X+QqGA2dlZnDhxQs3yCAaD0HVdTfYolUpYWFhALBbzHPeCwSDi8TjK5TLy+XzP5cvlsueR7UceeQQA8NlnnzlpUqlUwu3btzE2NqZmNTl16hRmZ2dRKBTULGqDATERUZ95/vnnoes66vU6ZmZm1GxHtVrFrVu38Pzzz6tZu9a5c+d2TIBZrVbx6quvqslERBtucHBQTQIaFxUNw2jKl4GvSg16JXV6qVX9AHD69Gnouu6bp1rt/eEbN24AAB577DE1C08++SQA4IMPPnDSuinfTR8ctm3jyJEjLdtPNTw8DE3TcPr0aTWL2mBATES0TmzbxsTEREedaWy148ePAwDeeustNcuRzWZx5swZNdlXJpPB0NCQ0+lWPB73PeirHY4MDQ0hmUz69pBZq9U8ZcPhMDKZjKe8u6OwQCDgTFsqlTzpav35fL6pd/BoNOrcpVhYWHCmdS+HnH93Jy/JZLLn9VwqlZx2C4fDyGazahGUSiUkk0nP8hUKBRw4cMDpnGv//v0INDpmkWzbbuqQRm0HNALreDzuLG80Gm25/oiIWsnn8zBNE9euXVOzVmUYhprUpF39pVIJpmni4MGDalZPFhcXAQA///nP1Szcf//9gKuM++9Oyj/88MNKidZOnjyJy5cvd/V01sGDB2GaJqrVqppFLTAgJiJaJ9FoFIuLi9izZw8AYHZ2FoZh9BwsbaSjR49C0zTU63XPY1xSrVZDPp/H0aNH1SwP27YxNDSE999/H9euXYMQAsViEeVyGfv372+q+/Dhw1hZWcHXX38NIQReeumlpjJoBGmGYUDTNKfs+fPn8dZbb3kerZufn0elUvFMi8ZVcsuynMfr3DKZDK5fv97UO/j8/DyKxSIAIBKJoNHPhtNLabVaxUMPPQQ0TmyEEHjzzTeRz+dhGEbXJx8ffvghnn32WefxPdM08eKLL2JiYsIpk8/ncePGjabHCUdGRrCysuIsX7FYhBAC8/PzgKuX1W+++Qaff/45LMtCPB7H+Pi4p4dx27Zx4MABPPbYYxBCwLIsPPXUU5idnXXKEBG1U61WkUwmMTo6ijfffLOjO7SSPD4eOnRIzXJ0Uv+HH34IAHjwwQfVrJ7IJ4XuvvtuNcvhHi2gm/Jyn7+8vOzk3blzB1AC6mw2i4GBAYyMjDhpnZB3qf/85z+rWdSK+lJxp9YwKRHRttTLfk12OqVpmqczjEql0rKzkK0UiUSc+UylUgKNHj5VqVTKmW93x1oqWYfawUmrzk8AiLm5OU/ZdDrt6SxEdkLi127y+9TORVrNXzqd9i3fqjO0VunCpxMUSXaG4pfnR3a8kkgkPB3MJBIJ3zYTbZavVQddiUSiaRlku7rLy+VVeyV1bydEtPv57V864T4+yI/fvruVdDrdspdp0UX9cl+oHl9akeVbkd/ltx90z5PsPbrb8n69TLs73qpUKp4eo2WP1Wgca9QOx9zkMUk9Bux27dbnaniHmIhoHezZs8cz3uHg4CD++Mc/Aj6dhWwX8u6vaZqeu7S2bWNqagovv/yyq3Qz27Zx8eJFGIbR9DjX4OAgYrEYAOCdd97x5L322muezryee+45T/7MzAzq9bpvxyj33HOPmrQpCoUCyuWys0xuJ06cgKZpTe24mueff97Twczk5KTz2ODNmzddJbsj19+RI0c86cFg0Hl6Qd5Nkc6dO+f5X52WiMjP8PAwhBCYm5tznliZmpryfT1DZds23nrrLVy/ft2zL3TrtH75xE+7O7Qb4a677lKT2pLlR0ZGkMvlcPbsWdx7770wDMPzhM+xY8dw7do1p10OHz6MxcVFWJaF8+fPY3R0tGXHWbKDLvUpKGqNATER0QZxP+bU7eO0myEUCjk9SF+/ft1Jn5mZQTwebwpyVZ9//jnQCLT8HDhwAFDes0qlUiiXy3jooYeQyWRQq9UQCoU8vWe+//77QJtOVbbC3//+d6BNQC7fW/v000/VrK7Ixwa/+OILNatjX331FQBgdHTU8x51IBBwTpBu374NNE42DcPA1NQUwuEw8vk8bNtGPB73XOAhImpnZGQE8/PzzjHl6tWrapEmJ0+exJkzZzra1/RS/2ZY7TipcpePx+NYXl6GEAL5fN45lp47dw7Hjh1zjoHVahULCws4fvy402u1ruvsOGsdMSAmItpA8o6f3xAR24G8C7ywsOB0onT16tWOepb+8ssv1SQPeZXa3WvzhQsXUCwWMTAwgPHxcei6jomJCc8d43K57Py9XcgAshX5ztZa3xeX7499//33albX5ubmIBrvQasfeScCAJaWljA9PY2VlRWMjo7ioYce8u3ci4hoNW+88YbzxEw78v3YToYScuu0/rXSNE1NauIu0235VgqFAlZWVjxPSMkLmfv27XPSwuEwTNP0HDupdwyIiYg2kDxod3IFfCuEQiHnMbTz588jn88jHA53NL8PPPAAAODWrVtqlofasdXw8DCWl5eRy+Wg6zouXryIw4cPe8pgHYLL9SSv6q925/app55Sk7ryf//3f8A61APXXe1OnDhxAl9//TXS6TQA4MUXX2x6JJGIaDXy1Yx2wV8+n0e1Wu14KCG3TupfD/KpH9nZlZtMc/do3W15P7VaDadPn8aVK1fUrJbkE0G0NgyIiYg2iG3bqNfrvu+dbidnz54FGlehz5492/FjWPJ91Hq97vtI+HfffQcowZ27B+V4PI7PP/8chmFgYWHBqUMG0Gt5j3a9yXEk3Y9/u33zzTeAcgW/F99++y3gcxGhG/fddx/QeM/Ob73I4ZjQGKpEvocWDAYxNjaGTz75BJqmtR2Si4ionVbjC+fzeXzwwQc9BcNuav1ynymPO2v1wgsvAAA++eQTNcvZr8oy7r87Le8nmUy2fZ/aj98QTj/++COwxuNIv2FATES0QWZmZgAAr776qic9m81u2SOp7mEeJPkeqdRuiAf3XVv3O8jj4+OuUj/59NNPoWmaZ+imqakpzyNewWCwabiNX//610CjTrWzL/l+sUoe+N1j51arVXz88ceuUt2zbdsZp1fXddTrdd87p4uLi4hEIh3dWW9FdoYVi8V6fn+6VCo5d/3r9ToOHDjgvBeMRptEo1FP4H758mVXDT+9uy0vdhARdaNareLWrVu+nSLm83lcunTJ9w6o3RjjfTWt6n/88ccB10XF1fgdC91GRkYQiUSwuLjoOWbZtu0Mtec+VnZbXpXJZPD444/7HkPk/vqzzz5z0paXl6Hrum/wLF9nkm1CHVC7ne7UGiYlItqWetmvuYdXSqfTzhAJ09PTQtO0pqER3MMv+A3PsJHkd6dSKTVL5HI5ZwgIlRzqSC6jm2VZwjAMAWUYITnsgzoEBgBhGIaz7KZpCl3Xm4aHkHWiMcREJBIRkUik5bBLcnglTdNEOp0WiURCpFKppnQ5fzJdHe7DPVxUKpUSkUjEyXev6+npaSFcQ2FomtY0VFIrcugMtR0Mw/B8n+Q3ZIcUi8WcuuTyikZ9cl7Vj3vIEll3LBZz5l+mqW1MRLsXujz+aZrm7Ffd+45WQwLJY4zcz6kf935V9FC/3HfHYjE1q4l7P+9XlyT3+fLYZpqmiEQiQtO0pn1xL+WlYrHoGXLJTyQScY5Xsi3d7eUmjzGbfY6x1brdht16nnItX0pEtB31ul8zTVOkUimh67pAI/hKJBK+AZIcb1ANxDaaPPi7P2rAowalMmj0+7gPtJZlOWNJupff7wRAjrUo69E0TaRSqaa2cAeacAXbcp7UeZflZZ0yP51OC8MwnLEeRYu2cC+Pe3xmdRlM0/TMl67rvvO/mlwu5wSzaJwk+p2YyRNF98e97JVKxWl39UKH2oa6rjedQMkTMVlHq3JEtLuhy+NfKpXyXHSTF+X8jntyzN3VPu79aDf1S/LY2o76nfLTimmazr7aHey20m15q3FRud1yCZ9jXLt9dCftsBu1W4+rCYifKuhaIBBAj5MSEW1L3K9tf5lMBuPj40in0133TkpERP52w/GvUCjgmWeeQaVS6fm1k52uWq3i0UcfxdzcXNtHtHejtWzDfIeYiIiIiIh2tJGREcRiMbz55ptqVt/IZrOIxWJ9FwyvFQNiIiIiIiLa8a5cuQLTNJ3e8/tJtVrF0tKSb6dl1B4DYiIi2jHkOMAff/yxpydPIiKiYDCI+fl5vPfee77Dzu1W1WoV4+PjmJ+f9+15mtrjO8RERA3cr21fpVIJ+/fvV5NRLBZ9h6kgIqLO7cbjXzabxSOPPLLrjxGlUgl37txpGoqq36xlG2ZATETUwP0aERH1Ix7/aKdbyzbMR6aJiIiIiIioLzEgJiIiIiIior7EgJiIiIiIiIj6EgNiIiIiIiIi6ksMiImIiIiIiKgvMSAmIqKWarUaMpkMBgYGUCqV1OxtIRqNbuv561W3y1Wr1TAxMdHVNLQ75PN5RKNRRKNRNWtDbdX30u6QzWa3xb6qVCohk8moydRHGBATEfUR27aRTCYRDocRCAQwMDCAeDyOUqkE27Y9JwXVahUzMzMYHx9HvV731EPbS6lUwszMDC5evMh11WcymQwuXbqEhYUFNWtDbdX30vYijykDAwMIBAKIx+Oo1WpqMQ/bthGNRvHEE080jRHcTX35fN45lkWjUdi2rRbxqNVqGBoaaio3PDyMffv2dVQH7U4MiImI+oRt23jooYewtLSEv/zlLxBC4Ouvv8avfvUrHDlyBPfee6+n/ODgIC5cuIBIJOJJ327m5+exsrLSdGK107Vbrmq16rl4MTw8jAsXLsAwDE852v3Gxsbw+uuvq8kbbqu+l7YP27axd+9eLC0toVwuw7IsDAwMwDAMVKtVtTjgCobPnj2LwcHBprxO6ysUChgdHcX58+dhWRaWl5dx+PBhTxlVLBbDH/7wBwSDQTULw8PDOHLkCIPiPsWAmIioT5w7dw71eh3z8/POiUgwGEQ8Hsfnn38OXdfVSWibymazahLQWJ/Uf+6++241aVNs1ffS9nD48GGYponZ2VmEQiEEg0G88cYbAIBjx46pxQEAJ0+exNDQkO+Fvm7qe+2116DrOuLxOILBIF555RUsLCy0fAR7YmIChw4d8v1eKR6PQ9d1nDx5Us2iXY4BMRFRn5iamoKu675BUzAYxOXLl9Vk2oaq1SqmpqbUZCKiTVMqlbCwsIBYLIZQKOSky4us5XIZ+XzeM02hUMDs7CxOnDjhSUcP9ZXLZYTDYef/Rx55BADw2WefOWlSqVTC7du3MTY2pmY1OXXqFGZnZ1EoFNQs2sUYEBMR9RHTNJtOUqSRkRE1ibYZ27ab7pQQEW22GzduAAAee+wxNQtPPvkkAOCDDz7wpJ8+fRq6rjc9Ko0u62t1F9iPbds4cuQIJicn1Sxfw8PD0DQNp0+fVrNoF2NATES0DvL5PIaGhhAIBBAIBDA0NLTtrjAnEgkAwOjoaMseNTu5gu5Wq9U8HaCEw+GWy10qlRCPx502ikajnvfCbNt22jGTyTidq8jyyWSy6d2uVj0r12o1ZLNZhMNhpy5ZbmBgABMTE556JHV5/D6tlEqlprKlUsk33d0rbzQaddLlevFbrlqthr1796JcLgMAxsfH285TtVp12jscDre8EOKnUCg427PseG1oaEgt5qwjdydtyWSyqRMc27Y96wONTplkO7vXrfu717I9uWUyGc/vU3Yk5ya3P3evyXKe5TTq9ieny2QynjZo9fty89suet1eVO75aTXf6LBdutHJ92az2Y72le7tV7bBWueP1s/i4iIA4Oc//7mahfvvvx9wlUFjezdNEwcPHnSV/I9u6nv44YeVEq2dPHkSly9f9tx1Xs3BgwdhmmbL/QntQqJHa5iUiGhb6nW/lkgkhGEYolgsCiGEqFQqQtM0AUDMzc2pxbeMZVnCMAwBQAAQuq6LXC6nFmsSiUQEAGf5JLmc09PTQgghTNN06lfrzeVyQtM0p45isSg0TROapolKpSJM0xTT09PO9Ol0WhiG4XzkPBuG4dRZLBZFOp128mTdlmWJdDrtrINUKiUikYhIpVIilUo56eo8mqYpNE0ThmEI0zSFaKxbWb9Ma6dYLDrl3evevU2k02nPNEIIYRiGSCQSwrKslsslyTy/euS6km2ZTqd7Xgb5vaZpilgsJqD8PuQyJRIJp97p6WnPepXTp9Npoeu6Z30kEgnPekokEiKXyznzLZdF07Sm+V5te5LkNm8YhpNeLBadeXFvA+7tT86fnEdZPpFIOOWFq3657izLctpbLetnPbYX4aqn2/nupF3a6fZ75bYr6zdN0ynr3s4tyxKapjnLLn/TajlaP+jy+Ce3W7/14d6upVQq1XJ7Fj3Up+u60HXd+X96elpA+R1NT083bYOdkNtaKpVSs2gb63Ybdut5yrV8KRHRdtTLfi2Xy/kexOXBv9MTy81iWZYT3MhPJBJpmn+3VgGxrutNJzfyxEXTNOdk3TRN3+nlSUckEmlK03XdU162s1+btpo/uQ4Mw3DmRbjqisVinvIykFEvYsgTdnVZW5H1qPMpl82vHnUeRZvlalePnEY9CWw1T37SjYsRbjJAcTMMw3NCKskTUzVPzre6rO5tRl5ckeTyuOe7m+1JbgNqQF2pVAR8LhLMzc058+IOrOV3qm2QSCQ83ydcbeU3j35arZt267ldG/rNt7ouum2XVrr9Xtkubn7LKev1+0100qbUPXW9rEZuJ37rQ64/AM52IX/L6v5V6rY++VvN5XLCsiyh67pnv1WpVDy/E/fFKn2Vi8FyH6b+tml763YbduMj00REa3D27FkYhtHUc+WFCxcghEA8Hvekb7VgMIh8Po9isegM0bOwsID9+/e3fMTRT6FQgGmaeO655zzpsh3q9To+//xzAMDMzAx0XW9qo3379gGN71e/9/jx457y8XjceeT7+vXrrpKt3XPPPQCAQ4cOeToSk4/fff/9904aGo+9w6fn3Fgs5vl/Nc8//zzgM5+yrd566y1PunxE2K+zs17JeZAefPBBAMC3337rSW9F7cBGdmwjFQoFlMtl37Y5ceIENE1r+b66uj7c24za2c5TTz0FKPPd6fZk2zYuXrwIwzCaHpccHBx05v2dd95x0uW637Nnj+c9Rzm9e4xn27YxNTWFI0eOOGlotNWePXsAAB9++KEnz896bi+t5ts0TSetl3ZZTSffCwC6rnc1NNi5c+c8/6ttTdvfXXfdBTR+l/DZv3ZL1jcyMoJcLoezZ8/i3nvvhWEYmJ+fB1x9LVy7ds35nRw+fBiLi4uwLAvnz5/H6Oio76P6cHXQxTG2+wcDYiKiHtm2DdM0fU9Mt7vh4WEsLS0hl8s5wy3Nzs563lVs58svvwQaJ7jq+45qmdu3b8M0zaZy+/fvd8p+9dVXzt+t/PKXvwQ28CRlYGBATQJcgXWnhoeHoes6FhYWPO/S3rx5E7FYDPV63RMoXr58uSkQ3ErPPfccNE3D6OgootGoc9Lo7pTm73//O9CmbeR7gp9++qmatWadbk/ygkyr3+eBAwcA5T3HbshtdnR0tGle5DZ6+/ZtZapmm729bHS7tLO0tISlpSWg8Y5wMplsCvjRaBPDMDA1NeW8/27bNuLxeNOFENre1Isua+WuLx6PY3l5GUII5PN5Z5s+d+4cjh075lykqVarWFhYwPHjx52Le7qus+MscjAgJiLqUSdB3HYXb4xBLO++qncGV2NZFhqv3zR93B10GYbRlO/+dHKSu9Y7C6uRQZw6bMc333wDAIhEIp70dl555RWgcTcTjYsnX3zxBS5evAgAuHTpEtDoKMu2bd9eV7dKKBTC119/jVQqhYWFBTzzzDMIh8OezoxWC/RkT7Fq51rrpZPtSV6QaUXeBVLvYnZrbm6u6fvlR96xWs1mbi+b1S6tlEolDA0NYXx8HE8++aSz71EtLS1henoaKysrGB0dxUMPPdRy/G3afJqmqUlNOikjdVK2kzKFQgErKyuei0byApV8igQAwuEwTNNsejqJ+hMDYiKiHt13331Ai0d+t6NWJ5PBYBCTk5POo4ydPlYL192m1ZTL5XVro24euezGG2+8AcMw8NZbbznBX6lUwtTUFFKpVFdBiLzLKscLnpmZwQsvvIBQKIRIJIJyuYxSqYSZmRm89NJL6uRbLhgM4sKFCzBNE4lEAqZpYv/+/U67yLs0X3zxhTKll3zkeb11sj098MADAIBbt26pWR7dXOjwI++Wr8Vmbi+b1S5+kskk9u/fj9dffx3z8/OIx+MtnzJA4/H7r7/+Gul0GgDw4osvtuxZmzaXvIB4584dNctJa9WjtJ/1qK9Wq+H06dO4cuWKmtXSbriwTWvHgJiIqEehUMi5Yn3z5k01G2gMQ7Jd/PWvf20bRBw6dEhNakmeVL/22mu+dVarVedOswye1PcBpWw229GdxB9//BHo4KSoV8FgENeuXcPAwACOHDmCQCCAI0eOIJ1O48KFC2rxtuRjefV6HdlsFu+//74zzrN8D/LGjRuYnZ3ddu+Zy2Gq0Fh3k5OTyOVyAIB3330XcI0L2uqxWnlX3X1HZr10uj3J93jr9brv8CnfffcdsIagXV4Qm5qa8q3fbgzH1InN3F42ul1aqVarmJqaQiKRWHXM81Kp5DyqHwwGMTY2hk8++QSapvk+Yk2b74UXXgAAfPLJJ2qWs13JMnBdYJHbl6rb+vwkk0lcv3695esAfvyGcJLHmo24KETbEwNiIqI1OHPmDADg1Vdf9TxSajfGZ5WBo0zLZDItO/LYDK2CCAD4+OOPAVdnPu08/fTT0DQN5XLZ854pGo+s/eY3v8HTTz8NuDoNmpqaQjwed05u7MbYtH/961+b3jOTAZXbe++9BwA4evSomrUuqtUqjh07hs8//9x5L215ebnrsZkl+cjeq6++6rmrF4/HnbuBfp1SdatarfpelFgL+eiupAZh8h28er3uG/QtLi4iEol09Ch8tzrdnkKhkPM47vj4uKcONN5v1jSt5+1J3r2t1+s4cOCA854rGuskGo12dUFgs7aXjW6XVv7xj38APo/Rq7912YaXL1/2pA8ODjrBPG29kZERRCIRLC4uevY/dmM8b8MwPBc+Hn/8caDNE0jd1qfKZDJ4/PHHffc58nfofh1meXkZuq77Bs/ytQI5z9QH1G6nO7WGSYmItqVe9mtyPE85JIRhGCISiQitMT6rmxxepJfvWQ9y2ItIJOIZ+sI9zqw6FIXZGJsXjbFt3eSwF34ftR45zIv6UYdrcbeR/D73GKRqve4hbtzz514v6vBKckgNTRnfVrZBKpUS6XTa+RSLRVEsFpuGgOlEq6GJWg17I7VaLqHMfzqddpav3bqSyxaJRFZdDvcwOLKsTHMPieIeK9e9rhKJRFPbWpblbH/q+nAPqeKu33INERaLxTzz3en25N4OEq5xe/3GLBWuIZB0Xfd8n3s4IvW3I9tA/ai//070ur3I/E7nu9t2aaWb73WnxWIxkW4M7yXXsa7rItEY01puE7FYzFlmmeY3DBWtHXo4Lsl9gNyGTNN0jn/u36EsK9dpK93U51YsFpuGilNFIhFnO5VD76n7SUnuB9z7I9r+etmGpZ6nXMuXEhFtR73u16xGwCZPjP3G5xWNg7amaW1PCDaSnKe5uTknaHGfoKoHf3eg4v64VSoVz7jGhmE01SPNzc15Lh64T3YlGXglEolV63UHz/IjxylV09E4uVHT4DrBdo917PfRNK3jQEHK5XK+24I80fPTarkkd3ApA1y/adBmmdtJp9POSags79f+orEc7m1J13WRSqU8wVGreSgWi85yuD/t1qFbJ9uTcP0+5XjS8oRbPcFWvwuNbaPVPLrrV9ug1Yn2anrZXtR5azff7ro7bZdW1Lo7+d5cLue0k1xf8qKCruvOd8sAR84b1tiutDqssl9oxXRdUHUHs350Xfe94OPWTX3CdXHH77fvJn+nst5221In80nbT6/bsBBCBMRPFXQtEAigx0mJiLYl7te2XiaTwfj4ONLpdM+PKveqWq0im806j+TeuXMHP/zwg5P/8ccfY3l5GcvLy66piIh2vs04/hUKBTzzzDOoVCpddVK4marVKh599FHMzc21fUSbtp+1bMMMiImIGrhf23pbFRDbto2HHnoIX3/9te87ZVI4HGZATES7zmYd/2R/BN0M77eZkskkVlZWtu38UWtr2YbZqRYREfW9kydPol6vt+wBFY0TuOPHj6vJRETUoStXrsA0zS3tXLKVarWKpaWlroZtot2BATEREW0Ltm0749p+8cUX695zcju6rgMAHn30UcTjcWQyGc9naGgI//znPzf1rjUR0W4TDAYxPz+P9957z3fYr61SrVYxPj6O+fn5tk8J0e7ER6aJiBq4X9s6pVIJ+/fvV5NRLBZ9h9HYCKVSCe+++y4WFxdRr9eBRqB88OBBPP/885s2H0REm20rjn/ZbBaPPPLIlu9bS6US7ty54wx9RjvTWrZhBsRERA3crxERUT/i8Y92urVsw3xkmoiIiIiIiPoSA2IiIiIiIiLqSwyIiYiIiIiIqC8xICYiIiIiIqK+xICYiIg2TK1WQyaTwcDAAEqlkpq9bgqFAgYGBhCPx9UsIiLahrLZ7IYeFzpVKpWQyWTUZOojDIiJiGhDVKtVzMzMYHx83BnGiIiIdg/btpFMJjEwMIBAIIB4PI5araYW87BtG9FoFE888UTTkEvd1JfP5xEOhxEIBBCNRlcdu75Wq2FoaKip3PDwMPbt29dRHbQ7MSAmIqINMTg4iAsXLiASiahZ625kZAQrKyvI5/NqFhERbQDbtrF3714sLS2hXC7DsiwMDAzAMAxUq1W1OOAKhs+ePYvBwcGmvE7rKxQKGB0dxfnz52FZFpaXl3H48GFPGVUsFsMf/vAHBINBNQvDw8M4cuQIg+I+xXGIiYgauF/bGNFoFAsLCygWi013A4iIaOv1cvyT+3bTNBEKhYBGUPvQQw9B13UsLS2pkyAej2NgYACTk5NqVlf1DQ0NoV6vY3l5GWg8fv3iiy+2PM5MTEzgnnvuwdjYmJrlIV+74cXVnaeXbVjiHWIiIiIiIupYqVTCwsICYrGYE7wCQDAYRDweR7lcbgoqC4UCZmdnceLECU86eqivXC4jHA47/z/yyCMAgM8++8xJk0qlEm7fvr1qMAwAp06dwuzsLAqFgppFuxgDYiIiIiIi6tiNGzcAAI899piahSeffBIA8MEHH3jST58+DV3Xmx6VRpf1ddMRl23bOHLkiO8daT/Dw8PQNA2nT59Ws2gXY0BMRNQHbNtGNptFOBx2etOUvT8HAgEkk0nnvalCoYChoSEEAgGEw2HfK+W1Ws159C0QCGBgYMBTRyds28bExITTKYrsQEV9V6xarWJiYsLpqTqfz2NgYADhcNjpbCWfzyMajSIajXqmReNROrk8gUAAQ0NDvstERESdWVxcBAD8/Oc/V7Nw//33A64yaASxpmni4MGDrpL/0U19Dz/8sFKitZMnT+Ly5cueu86rOXjwIEzTbDoW0e7FgJiIaJer1WqYmZnB22+/DdM08cMPPyAajeKbb77BmTNnoGkapqamcO7cOeTzebz22ms4dOgQIpEITNPE//t//8/Ty6dt2zAMA6Zp4uuvv4YQAmfOnMHU1NSqnZq4HT58GFNTU/jLX/4CIQSKxSJmZ2dx4MABJ7CuVqv485//jIsXL6Jer+PDDz/EP//5TwwMDMA0Tdy6dQuZTAbXr1/HwsKC+hXIZDJ48cUX8dJLL0EIAdM0Ua/X8cwzz3R1l4GIiP7DNE0AwN13361mOdyjC3z44YcAgAcffNBV4j+6qS8YDELXdef9YQC4c+cOoATU2WwWAwMDGBkZcdI6Ie9S//nPf1azaLcSPVrDpERE29Ju36+l02kBQBiGISzLctKLxaIAIDRNE9PT055pIpGIACByuZyTNj09LQCIdDrtKQvAtw1lHcVi0UmrVCoCgIhEIquWdaenUikhhBCWZXnKyGVQ69M0rWmeZDuo809E1K/U/eRq5P5e3VcL1/4YgKhUKkK49uFzc3NqcSF6qG9ubk6gcWyyLEvoui4Mw3CmqVQqnmOdZVkikUgIAELXdc8xTSWPcerxhLa3brdhN94hJiLqM4cOHfIMOyF75KzX602dnTz11FMAgG+//dZJ+6//+i+gxaNtnbrrrrugaRoef/xxNautX/ziF0DjDoFfT6IqXddhGIaaTEREm+Cuu+4CAOcJnnZ3gDsh6xsZGUEul8PZs2dx7733wjAMzM/PA42nmI4dO4Zr1645x7rDhw9jcXERlmXh/PnzGB0dbfnqjOygy++pI9qdGBATEVFXRkZGIITAyMgIbNtGPp/H0NCQWqytUCiElZUVXLhwAWi8txyPx9f9BGRpackZqqNarSKZTOKtt95SixER0Qbo5t3dTrjri8fjWF5ehhAC+XzeCX7PnTuHY8eOOZ13VatVLCws4Pjx406v1bqus+MscjAgJiKirskOsfbu3Yt//vOfuHbtmlqkI7Kjr7/97W944YUXEIlE1CJrViqVMDQ0hPHxcTz55JNIJBJqESIi6oKmaWpSk07KSJ2U7aRMoVDAysqK52kneaF13759Tlo4HIZpml11BEm7FwNiIiLqSrVaxUMPPYTbt2/j888/x4ULF3yH0WjHtm0MDQ3h7bffxl/+8hdMTk523fFJJ5LJJPbv34/XX38d8/PziMfjuOeee9RiRETUBdlbtOzMyk2mtepR2s961Fer1XD69GlcuXJFzWrpq6++UpOoDzEgJiKirrz55puo1+uYnJz0vIvcjZs3b6JcLuP8+fNdB9OdqlarmJqaQiKR2JBgm4ioX73wwgsAgE8++UTNcoYrkmUAOE//fPfdd06aW7f1+Ukmk7h+/XpXxyW/IZx+/PFHwDXPtPsxICYioq7IsSD/9a9/OWnuYZnQuAPcjjzpcXfWZdu2Z7rV6ljNP/7xD8Bn3r755hvP/2v9HiKifjMyMoJIJILFxcWm/XY+n4dhGJ4LkbIDRfc+363b+lSZTAaPP/64b2eL8lHpzz77zElbXl6Gruu+wfOXX34JuOaZdj8GxEREfcC2bXz88ccAgC+++MKT5x6P1/23bdtO2S+++MI5SZGPrT377LPIZDJIJpNIpVLO+13JZBIzMzNAIxi9desWoDwKd+DAAQDA+Pg4JiYmMDEx4RnD+Pz58zh37hyg1CHHslTJE53l5WVnPp944gmg8f5YPB5HJpPB0NAQVlZWAABXr15FMpnEDz/84KqJiIg6kU6ngUYnVrZto1arOftxtV+J3/72t4DP8cetm/rcSqUS3n//faeTRtXw8DAikQiuXr3qBNimaeKVV15RiwKui6ZyVAPqA+o4TJ1aw6RERNvSbt2vucdwdH+KxaIzNqT7E4lEWk4jGuM5yul0XXfGLk6lUgKusYLb1eEur2maSKVSwrIsZ2zJSCQiLMtyxgxWP25qHlxjWeZyOWcs4lgsJkzTFKZpCk3ThK7rzpiWRET9TN2vdso0TRGLxZx9eSKR8Ixz76brutB1XU326KY+0TgeGYYhTNNUszzc4xBrmuYct/x0Mp+0/fS6DQshRED8VEHXAoEAepyUiGhb4n6NiIj60WYc/wqFAp555hlUKpUN6ztirarVKh599FHMzc21fUSbtp+1bMMMiImIGrhfIyKifrRZx794PA4AyOfzata2kEwmsbKysm3nj1pbyzbMd4iJiIiIiGjDXblyBaZpolAoqFlbrlqtYmlpqathm2h3YEBMREREREQbLhgMYn5+Hu+9954znNJ2UK1WMT4+jvn5ed+ep2l34yPTREQN3K8REVE/2orjXzabxSOPPOI7VNJmKpVKuHPnDk6cOKFm0Q6ylm2YATERUQP3a0RE1I94/KOdbi3bMB+ZJiIiIiIior7EgJiIiIiIiIj6EgNiIiIiIiIi6ksMiImIiIiIiKgvMSAmIiIiIiKivsSAmIhoA9i2jWw2i3A4jFKppGbvOoVCAQMDA4jH42rWmtVqNUxMTGBgYGDHtGWpVEI8HkcgEEAgEEAymYRt22oxIqK+lc1mt8U+vVQqIZPJqMnURxgQExGts1KphJMnT+LFF1+EaZpq9qYrlUpOYOb+RKNRAEA0Gm3KCwQCTScIfuU2WqlUwszMDC5evIh6va5mb0uFQgFHjhzBxYsXYVkWDMPA1NSU095ERLuFbdtIJpMYGBhAIBBAPB5HrVZTi3nYto1oNIonnniiaQziburL5/MIh8PO8Wy1i461Wg1DQ0NN5YaHh7Fv376O6qBdSvRoDZMSEW1L671fi0QiAoAoFotq1qazLEvEYjEBQAAQuVzOk18sFoWmaQKA0DRNmKbpyZeKxaIAIBKJhLAsS81uKRaLqUldMQxj27TlajRNE6lUyvnfsixhGIaIRCKiUqmIdDrtKU9EtNV6Of5ZliV0XReGYQjTNIVlWSKRSAhN00SlUlGLC+HaH/rty7upb25uzjmWyekikYinjKrV90q5XE4YhtHVsY22j162YYl3iImI+kAwGMTFixed/++++25P/vDwMM6cOeP8HwqFPPnSfffdB03T8MYbbyAYDKrZvvL5PL7//ns1uSudftdWK5VKqNfruOeee5y0YDCIpaUlzM/PI5vNesoTEe1Uhw8fhmmamJ2dRSgUQjAYxBtvvAEAOHbsmFocAHDy5EkMDQ013RlGl/W99tpr0HUd8XgcwWAQr7zyChYWFlo+gj0xMYFDhw75fq8Uj8eh6zpOnjypZtEux4CYiKhPhEIhGIYBAPjb3/6mZuPo0aPQNA31eh3ValXNBgDcunXLOQHphG3bOHv2rJq8a3322WdqkqNarWJqakpNJiLacUqlEhYWFhCLxTwXUIPBIOLxOMrlMvL5vGeaQqGA2dlZnDhxwpOOHuorl8sIh8PO/4888gjQYh9cKpVw+/ZtjI2NqVlNTp06hdnZWRQKBTWLdjEGxEREfeSll14CGndtVcFgEAcPHgQanZ34uXTpEp5//nk1uaVz585ti/eot5pt2013OIiIdqobN24AAB577DE1C08++SQA4IMPPvCknz59GrquY3Bw0JOOLutrdRfYj23bOHLkCCYnJ9UsX8PDw9A0DadPn1azaBdjQExEtA4KhQKGhoaczqa2a6/CTz/9NACgXq/7BsXlchloBMzq/NdqNdTrdd9HzvL5PKLRqKfjqGg06twRXVhYcNrGfTJTq9U8HagMDAys2nbVatXpwTkcDvsuB3x6eg6Hw56Owmzb9sy37OhF7VAsm8161u3Q0FDT3YNMJoNAIIDx8XEAwPj4uFM+n89j7969Ttu684iIdqLFxUUAwM9//nM1C/fffz/gKoPG/tg0Teeiq6qb+h5++GGlRGsnT57E5cuXW74G5OfgwYMwTbPlk1K0+zAgJiJao3w+j2eeeQbHjh2DEAKmaWJlZcUJgLaTYDCIRCIB+Fy9LxQK0DQNuq6jXq/jo48+8uTPzMwgFot50tAIBq9fv46FhQVP+vz8PIrFIgAgEolACAEhhBNQV6tVGIaBBx98EF9//TWEEIjH4217ZL5z5w6OHTuGxx57DIlEAqZpYnR0tKkX0nw+j2effRa/+tWvIISAZVnQNA3j4+OYmJgAANy8eROXLl1y5vvcuXPOSdPVq1eBxrK9+OKLeOmll5x1W6/X8cwzz3gC+7GxMQghkE6nAQDpdNpZ3ng8juXlZd88IqKdSD75o/ZH4eYeGeDDDz8EADz44IOuEv/RTX3BYBC6rmN5ednJu3PnDqAE1NlsFgMDAxgZGXHSOiHvUv/5z39Ws2iXYkBMRLQGpVIJo6OjSKfTzntRoVAIV65cgaZpavFt4Ze//CUAYHZ21hNI/u1vf8OxY8dw/PhxAMD169edPDTKHz161JOGRjDYy3vCv/nNb7Bnzx6MjY057yS//PLLznvMfqrVKpaWljA2NobJyUknuL9165ZTplarYXR0FGfOnHHGRQ4Gg3j99dcB10nViRMn8Ic//MGZ/uWXX8bk5CQqlYpzJ+Ktt94CGp2toLFuZfv4vatGRET/Ie+y3r59G2hxB7gbsr7Lly/DNE3naaa3334bhmE4wW+1WsW1a9ecTrnkcE6rPVkEwOkUUc4z7X4MiImI1uDdd98FADz33HOe9GAwiD179njStouRkRHoug4AnrvA+Xwezz33nLMsCwsLTsBcKpWgaVpXj521k8/nYZpm03taoVAIKysrniv/bur7y/Juw7fffuukvfPOO0CjkzC3kZERCCF83yXbs2ePs2yDg4PO37quOx2RERFRd+666y6gcTzBKneAOyHrGxkZQS6Xw9mzZ3HvvffCMAzMz88Drj4brl275lxsPXz4MBYXF2FZFs6fP4/R0dGmV18k2UGX+tQT7V4MiImI1mB2dhZoM0zRdiXvcr799ttA43HpgwcPIhgMenqjvnnzJtDo8GQ9O4X65z//CazDyZGfpaUlYJ2GalpaWnLqq1arSCaTzl1jIiJqb72Pje765OsoQgjk83lnn3/u3DkcO3bM6byrWq1iYWEBx48fd3qt1nW96YIs9S8GxEREPeqmp8vtRt4Flh2HvPfee/jVr37l5MveqK9evep0PqXeBV+LjXwUbb3f3S6VShgaGsL4+DiefPJJ5zFtIqJ+1ckrQZ2UkTop20mZQqGAlZUVz9BO8k7vvn37nLRwOAzTNNt24Ej9gwExEVEfCoVCiEQiAIA333wTi4uLznuycPVGbZomzp0759w9Xi/yKr/saGU9ycfBWz0O141kMon9+/fj9ddfx/z8POLxuPN+GRFRv5K9RcvOrNxkWqsepf2sR321Wg2nT5/GlStX1KyWvvrqKzWJ+hADYiKiHrmHH2rXQcd2deTIEaDx2Lc7GEbjcWPZo/TU1BReeOEFT/5ayUfZZmdnfa/Ql0qlnu/Ay8e933vvPTULaPQc3YlqtYqpqSkkEomueyklItrN5DHhk08+UbOcjq/cxw15Afa7775z0ty6rc9PMpnE9evXu7p46zeE048//gi45pl2PwbERERrIB+fPXv2rG9gB9fBVcpms8hms560rfD00087j6DJnqfd5MmHpmnrFhDato1qtYrnnnsOmqY5d6DdbVcqlfA///M/vuMdd+LUqVNAI9hW2zmbzeKbb77xpLXyj3/8A2jcdXBTp2+13ldTrVZ7npaIaCuNjIwgEolgcXHRsx+Tr9i4e3wGgMcffxxQOkB067Y+VSaTweOPP+573JCPSrtHBlheXoau677B85dffgm45pn6gOjRGiYlItqWetmvWZYlDMMQAISu6yKXy4lisSgSiYTQNE0AEIZhiHQ6LYQQolgsCgACgCgWi2p1my6RSAhd19Vkh6ZpIpFIqMlN0um00waWZTnplUrFWd5UKiUikYiTn8vlnDxN00QkEhGGYQhN00SlUnHqME3Tacvp6WknXQghYrGYAOCpVzSWS9at67qIRCJC13VhGIanXCqVcr7fNE0nXSjzHovFRDqdFoZhON+p67pIJBLOdO5tQf0eIYSYnp52viudTotYLObJJyLaKujh+FepVJxjhGVZwjRNEYlEmvbhsqzcl7bSTX1uxWJRGIahJnvIY4BlWc6xRz2eSPL4sR2O0dS5XrZhqecp1/KlRETbUa/7NcuyPAFwJBIRlUpFRCIREYlERC6X85TVdb0pcNwqxWJRpFIpNdmRSCTanoiIRrupH/eJhAw6dV1vqqtYLIpIJOJMF4vFPGVkoK1+3BcW3B+3XC4ndF0XaASh8iRLUqcF4Fy4cNch12ssFhOmaToBunt5Ws2ne54sy3KWVQ3giYi2krr/7JRpms5FQr/9rJs89rXTTX3CdSFSvaCpksdpWW+rYFh0OJ+0/fS6DQshRED8VEHXAoEAepyUiGhb4n6NiIj60WYc/wqFAp555hlUKhWnH4ntplqt4tFHH8Xc3FzbR7Rp+1nLNsyAmIiogfs1IiLqR5t1/JMdOG7XjiiTySRWVla27fxRa2vZhtmpFhERERERbbgrV67ANM11GRZvvVWrVSwtLXU1bBPtDgyIiYiIiIhowwWDQczPz+O9995zhlPaDqrVKsbHxzE/P+/b8zTtbnxkmoiogfs1IiLqR1tx/Mtms3jkkUd8h0raTKVSCXfu3MGJEyfULNpB1rINMyAmImrgfo2IiPoRj3+0061lG+Yj00RERERERNSXGBATERERERFRX2JATERERERERH2JATERERERERH1JQbERERERERE1JcYEBMRUU9KpRKSySSi0aiataPUajVMTExgYGAApVJJzSYiIqJdjAExEVEfCAQCLT+9mJiYwJEjRzA1NaVmbTjbthGNRhEIBDAxMaFmd6VarWJmZgYXL15EvV5Xs4mIiGiXY0BMRNQHhBAwTRO6rgMAdF2HaZo9j9l34cIFXL9+XU3eFF999RUWFhYAABcvXkS1WlWLoFqtIpPJqMlNBgcHceHCBUQiETWLiIiI+gADYiKiPhEKhRAOhwEA4XAYoVBILbIjDA8PY3p6Gul0Grqu49///rdaBNlsVk0iIiIiasKAmIiIdpwTJ05gbGwMmqbhvvvu8+RVq9UteZSbiIiIdh4GxEREtCPl83kcPHjQc6fbtm0cO3bMU46IiIioFQbERETrIJ/PY2hoyOmoKplMwrZttdiOZds2kskkBgYGEAgEEA6H8eGHH6rFHLJ8OBxGIBDAwMAAkskkarWap1ytVkM2m0U4HEYmk4Ft206PzwMDAy07zcpms/jhhx9w4cIFJ61Wq2Hv3r0ol8sAgPHx8TV1HCY77pIf2Zt2tVr19Epdq9UQj8eddsnn82pVQGO6eDzuaUO5zFImk/Ht9Mwv3f2OtDudPWUTERF1jgExEdEaJZNJXLp0CbOzsxBCYHp6GlNTU4hGo7siKJa9Oi8tLaFcLkMIgfPnz7d8LLlareKhhx4CACwuLkIIgTfffBP5fB6GYTidYNm2jZs3b+LVV1+FaZr44YcfcPjwYQBAIpEAGp1m+QWYJ06cwIkTJzxpoVAIy8vLSKfTAIB0Og0hRM8dh01OTgKNealUKpifn0e1WsWf//xnp1fqO3fuIBaL4bHHHkMikYBpmhgdHW0K/PP5PB599FEcOHAAX3/9NSzLQiwWw/j4uGc7GRsbc+YfACzLctJzuZyTXiwWMTY21lRuenoaw8PDTjoRERGtQvRoDZMSEW1LvezXcrmc0DRNWJblSY9EIgKASKfTnvStJucrEomoWS1FIhHfZUyn0751GYYhdF33pAkhxPT0tADQlJdKpQQAYRiG5ztyuZwAIGKxmKf8auR8ddP2sl2KxaIQQgjLskQkEhG5XE4tKkRjGQGIRCLhSU8kEgKAmJ6edtJM0xSapjWVFUKIWCzmW4+u6wKAME3Tk67Op2SaZtN6ICLqVC/HP6LtZC3bMO8QExGtwaVLlxCPxxEMBj3pTz31FADg/fff96TvNNVqFQsLC77LuG/fPs//AFAoFFAulxGLxdQsnDhxApqmwTRNz13fe+65BwBw6NAhz3fcf//9AIDvv//eSdsM1WoV0WgU6XQa8XhczQYAZz6ff/55T/qDDz4IAPjhhx+ctJmZGdTrdfzyl790lfzJq6++CgCYmpry3FU+fvw4AODmzZtOGgAcOXIEAPDuu+960mdmZpw8IiIi6hwDYiKiNSiXy5iammp6v3N8fNzJ38nkeL8y0FvN3//+d8AV5KoOHjwIAPj000/VrG3hxo0bePTRR/HSSy9hcHBQze7J4uIiAODuu+9WszA4OAhN0wAAt27dctKfe+45AMDVq1edNAD44IMPEIlEMDs76wTQtm1jdna2ZfBORERErTEgJiJao1Qq5byr6vfZyT7++GM1qa3bt2+rSR6PPfYY0OgAazuSwWkymXTedV6r1S6K7NmzBwDw7bffOmmhUAixWAymaaJQKAAASqUSHnvsMedO8MzMDADgo48+8r0jT0RERKtjQExEtEbyDiD9FMgBwBdffKFmechHyrebX/ziF5ienka9XsdvfvObdekUTdd1AMCdO3fULA/1EfRTp04BAN577z0AwPnz53H06FE8/fTT0DQNU1NTsG0bly5dwtGjRz3TEhERUWcYEBMRrYGu6yiXy749IQNoOWzQTiEDV/XR3VaefPJJoM1Fgm+++QbwCf62kxMnTjg9Rq9HT+HyMfFPPvlEzQIALC8vQ9M0PPzww5704eFh6LqO2dlZ5PN5hEIhBINBBINBxONx1Ot1/P73v4eu656xmImIiKhzDIiJiNZAdn40OjqKTCbjPApcq9WQTCY979Lato1MJuM8ArsTyHdZTdNENptVs4HGcknxeBy6rqNer3vGyZUWFxcRiUQ2dWigarXadVA7OTmJSCSCcrmMc+fOqdldefnllwEAs7OzTWME12o1mKaJM2fONHVaBgCvvPIK0HiEW9aDRtCOxrBUL7zwgpNOREREXVK7ne7UGiYlItqWet2vySF41I86jJAcDqjX71kr0zSd4Xx0XW8a0qcVOfwRGsMDFYtFkcvlPMudSqWcoYAqlYrQNE3ANfyQZVkikUgITdM832tZllOPOrySHKZJnWY17unS6XRTvSo5LJJ7fmW6XL5YLOasS3e6u7xwDaMUiUR8h5DSNM1pJ9M0hWEYwjAMVw1elmU57a5qNbwVEVG3sEXHJaL1spZtuOcp1/KlRETb0Vr2a+l02gk2NU0TqVSqadzeYrEoNE1bNUDbCDKA8/t0Ym5uzglcZaAplyeVSjUFrKZpOgEwGgG42ibFYrFpXtAYY1dNQxfjCssxhOETmKrcFyncH+Ea87eTT6t5do8XXCwWnYAZjQsmakDtR16EUOVyuY7bhIioHXR4LCDartayDQdEj12gBgKBHd97KhGRG/drRETUj3j8o51uLdsw3yEmIiIiIiKivsSAmIiIiIiIiPoSA2IiIiIiIiLqS2t6h5iIiIiIiIhoq/UY1q4tIO5xUiKibYn7NSIi6kc8/tFOt5ZtmI9MExERERERUV9iQExERERERER9iQExERERERER9SUGxERERERERNSXGBATERERERFRX2JAvM3Yto18Po9wOIxMJqNmr5tCoYCBgQHE43E1a8vk83kMDQ0hEAhgYGCgaflXyyciIiIiAoBsNotSqaQm941SqcRz5Q5tWUBcKpWQTCYRDocRCAQQCAQwNDSEiYkJ1Go1VKvVvluJtm1jZmYGyWQSpmmq2bvaxMQEPvjgA8zPz6NSqQAAxsfHMTEx0VE+0U6VyWScfaD6UQ/kpVKpqYxfOSIios1i2zay2SzC4bCa5WHbNpLJJAYGBpybG8lkErZtq0U9Wh0nq9WqWhRofE80GsUTTzyB4eFhT14mk3Fij4GBAUxMTLT9fvfNmEAjVsnn82qxttzT+33UdpM3xgKBAKLRaNv5A4BarYahoaGmcsPDw9i3b19HdfQ90aNeJ7UsS0QiEQFAJBIJUSwWnTzTNEU6nRaapgkAIp1Oe6btF+l0uq+Wv1KpCABibm7Ok6Zpmkin06vmb4RKpbJhddN/bLd27nW/tlbFYlEYhiEACAAiFosJy7LUYkI09pO6rgsAIpVKtSxHRETUqV6Of5Zlienpac/xqxXLsoSmaULTNBGJRDzT6Lre8lgmp5Nl5ScSiahFhWiUNwzDE19IkUhERCIRkU6nRSKRcOqNxWJqUSGEEKlUSmiaJnK5nJOWy+WEpmkilUp5yrZimmbTvKsfd11zc3MCgMjlcsKyLKHrestllVotr5TL5YRhGC3beLdAm+1vNT1P2cuXyo1UruhW5AlfIpFQs/pCvwXEcnlb/ZhXy98IiUSib9p/K223du5lv7Ze5EUeNC4WtmMYxrZqNyIi2tnWcvyzLMsJ7lqRx3t3UFYsFlc97qXT6a6Od7FYzLeuXC7XFHvIGy4AhGmanjwZyPp9dyqV8p3GTyqValpuSX5HpVJx0gzDELquO/9PT0+3PQeW9a8mFou1DPx3i3bb32o29ZHpw4cPo1wuI5FItH13NRQK4fr166jVamoW7UIff/yxmuSxWv56q1armJqaUpNpnbGdvQYHB/Hmm28CAKamplo+Bl0oFBAMBjE2NqZmERERbbpgMAhd19XkJmNjYwgGg87/w8PDmJycBBrHPZVt27h69SqOHj2qZvkqFAqYnZ3FiRMn1Cw8/PDDTbHH4OAgIpEIAODf//63J+9f//oXAOCBBx7wpAPAPffcA7jKtPPAAw80Lbf00UcfQdd1DA4OOmnlctnzCPUjjzwCAPjss8+cNKlUKuH27dsdnQ+cOnUKs7OzKBQKahZt5jvEpVIJCwsLAICXX35ZzW4yPDyMp556Sk0m2lC2bePYsWNqMq0ztrO/EydOIBaLAQCOHDnS9M6Pbds4ffq0cwJBRES0HajvwapaHbfUINXt3LlzME0Te/fudfoYauf06dNNAabkl4bGcdUwjJb5ly5dUpPwww8/QNM0PPzww2pWE7/gXLp27ZpzzEcjVuqUbds4cuRIy3ZVDQ8PQ9M0nD59Ws0irOHecreTxmIxgcZ7Ar0qFovO+8eyLvUxAcuyRC6Xc94TEI3HDeQ7d+3ezVOp9czNzTn1RCIR5xGHSqXiLF+r91pN0xSxWMx5NETTNJFIJHznpd0j0+q7GoZheN6tFY35ke89FItF530HXdedxzvUZXPrpJ3bsSxLpFIpp61ku7sfCRGNdzlkvvrpJF8qFotO+0NZNyr5HoUs624/97uZ6qedSqXivIsilO1E1/We1o/oYrksyxLpdLrlvKPxqE2vv41OtjnTNJ265KNBchnVd216befNsNo8rPW30Qn3+1LqY1+xWExMT0970lTq9tBqnzQ3N+esV03TRCwWE4ZhqMWIiKgPrHb8W408NvZCnlu4tXr3tlXfGcVi0fe42Y48//I7txKNx5fROP+S3ylfb1LPg7rl97i0fPTcfW4ul0s9jsdisa7nQZ5Ttlrena7X7U9s5jvEckPu9fl1dUO3LMtZse6NxH3yHolERCKRcN5bkCeInfxY0um08+OW9cRiMZFOp536dV0XlUpFGIYhUqmUSCQSznK6N1J5gmu4XmiXQa9fQNoqIJbp8h0Id2BRbLxbIIMtOR+pVMoTnOZyuaZlc+u0nduJRCKeHYysU9M0352YnBe5DKp2+XJnJvOKjfdR/HZwiURCGK6OB+ROTV1frdrfz9zcnKe95+bmhNboMELW7a6/k/UjulwuwzA8ZXO5nFO/+32ZXn4bnWxzMgCTy5tKpUQkEnGWTaa758VddyftvFnQZr+2Hr+NTsnvgmvbmZ6ebvq9qqxGPw3yYptlWc5+yb1uZf1yHcoLdu2Wn4iIdq+17v97DYjbvasrGudN8mK+PC6qwbNwvdfbqh43eSMDQNuLzO7zRE3TnPMo9TysF/ImgkrXdU+6fIfYfZ46PT3ddL7WCXne5b5JsZv0sv1JPU/Z7ZfKjbiTDdWPPFmTJ3DCdVKnniTONXpoU4MH+aPTGnfyViPrV+tx38FRr1TJjc29ocqNWV122SaqVoGC/E63VmXljkNu9JZlddR23bSzn0qjgwK1bLugtl2eaJMv16eaLtvEPQ8ySFTLyh2oO1hr1abtwOfKpQxO4PNkRLv108tyqTs3uaNX10O3v41utjnZlu4LP8I1j+rFsFb1bCV1Wd3W+tvolmxPua505QkCP4lEomle3PsrOe/pxoU9v3JERNR/2h3/OtFrQJxuXJT3u2GikjcL/M4d5PevdtdUHrfdn3bBpWmazrkcVgmguyFvpqnkeVrO1cu0+3gtb8S5zzXlOZ+u6003H9xkPKKeJ+wWvWx/0qa9Q7xWuq5D0zTcd999alaTu+++GwCwZ88ezzsBoVAIAFCv1520Tqj1BINB7NmzBwDwi1/8wvOi/L59+4DGmGDSf/3XfwEAfv7znztpvdB1HYZhqMlt/eIXvwAa86yOxeanm3b2c9ddd0HTNDz++ONq1rqbmZmBrutNyyXXwcLCgvMO5tmzZ2EYRlPZCxcuQAjR9h2Wbly4cMHZHoLBIGZnZwEApmn6vhvit366Wa4PPvgAcHXwIP3yl7/0/C91+9voZpuT83Do0CHPb+L+++8HAHz//fdO2k601t9Gt373u9/BMAzU63U8+uijOH/+vLOe/Ni2jampKRw5csST7t5fffjhh056uVz2jKUYDAbX7XdARES0Gtu28dZbb+H69eu+nU6p4vE4/vjHPwIA3nrrLU+e7KdInue0Mjw8DCEE5ubmnA61pqamkMlk1KJAo7MtXdedd31ffPFFJJNJtVhXarUayuUyfvvb36pZGBkZQS6Xw9mzZ3HvvffCMAzMz88Drv5Xrl275rTX4cOHsbi4CMuycP78eYyOjrbsOEt20CXbiv5j0wPiH374QU3qyIULF7CysoJQKIRarYZMJtN04rddjYyMQAiBkZER2LbtDPLdraWlJSwtLQGNHnqTyWTTDmGt1trOoVAIKysruHDhAtDo8S8ej2/Ij+/27dswTbNpgPP9+/c7Zb766ivYtg3TNDva2a63UCjkBJR+PQT66XS5AGBgYMA15X+sdkDo1GZsczvFWn8b3QoGg3j99ded/1cLVuU2MTo62rTtyN/f7du3AQDPPfccNE3D6OgootGoc/DstHMOIiKitTp58iTOnDnTdAOgnZGREUQiEdTr9VU72WpnZGQE8/PzSCQSAICrV6+qRVAqlfCb3/wGFy9eRD6fRy6XAxoB9FqCYr/epd3i8TiWl5chhEA+n3fOX8+dO4djx44501WrVSwsLOD48ePORW1d19lxVg82LSCWQYE8IetFrVZDPB7HwYMHcc899+D8+fNqkW3Ltm1MTExg7969+Oc//4lr166pRTpSKpUwNDSE8fFxPPnkk84PeT2tRztns1mEw2H87W9/wwsvvOBchVtvhmGg8ei/72d4eNgJFLZKL4F4J8sFAE8++STgMzTVd999BwD49a9/7UnvxWZsczvFevw2utHLhY25ubmm7UV+5FXmUCiEr7/+GqlUCgsLC3jmmWcQDod9n2IgIiJab9lsFgMDAx0NGaSS5zbqUEm9eOONN6BpGkzT9KTbto1nn30WsVjMeTorHo97guJej5lq79KdKBQKWFlZ8fRaLS92yycI0ejt2zTNplEqqL1NC4gPHToEKI97diOfz0PXdei6juXlZZw4ccJ5FHO7q1areOihh3D79m18/vnnuHDhQsurQu0kk0ns378fr7/+Oubn5xGPx5selV2rtbazbdsYGhrC22+/jb/85S+YnJzEyMiIWmzdlMvlVbcn+Yhrr9veeunmkflOlguNnXMikcDCwgKy2SzQCNrkI+LtuvvvxGZsczvFWn8bm+Xvf/+7muQrGAziwoULME0TiUQCpmli//79PR/giYiIOpHP51GtVnt+Kumee+6Bpmk9nUur5GtFmqZ50m/evIl6ve682ibF43FMT08DXTz559bucelWarUaTp8+jStXrqhZLW31zaCdZtMC4qNHjzob2+9//3s129fExITzdzKZhK7rzqO4O8mbb76Jer2OycnJnu4WohFUT01NIZFIbGiAudZ2vnnzJsrlMs6fP78uO6p25BW7c+fOqVlA4+pjrVZDKBRytr2bN2+qxQCg5bsj60EGtnv37lWzfHW6XNIbb7wBwzBw7do1BAIBGIaBgwcPOncDe7VZ29xOsdbfxkaTF36mpqZQrVbVbNi27WznmUzG2S5DoRAmJyedq97vvvuuZzoiIqL1ks/n8cEHH/QcDAPAp59+2vS0mnwSUT4h1y31taR2r3iu5WbDRx991HbcYz/JZLLj96wlvzGSf/zxR8DVVvQfmxYQB4NB/O///i8AOM/it5NMJp2rMtVqFfV6HSsrK567ZupG38kdta2wuLgIAPjXv/7lpKnvPaw27//4xz8An+m++eYbz/+r1dPOerTzJ598AgD49ttvnTTbtj3TtJu+G88//zzQCADi8bgTBNi2jWw2i7/+9a9OcHnmzBkAwKuvvuq5A2bbNpLJJB544AEnTVWtVjueZ3X9VKtVlMtlJBKJjndk3SyXbduIRqO4du0alpaWIITAysrKmi6+SJuxzbl1086brdvfht0IPlt1bLERQqGQ817VgQMHkM/nnfmpVquIRqOex6pmZmZcUzefDBAREXVqeXlZTWqSz+dx6dIl3zud8nxMKpVKvrFCtVrF4uIifve733nSZWeu7vPPTlSrVdy6daspyJXHyxs3bnjS0ZgGQNO5YzabdZ7Wa+XatWs4duyYmtxSJpPB448/7vuetZxH953q5eVl6Lruew745ZdfAq62Ihe12+lO9TppsTGequz2e25uztN1+NzcnO9g03IawzBEujGOruxmHI1hZ+Q07u7H3d24yyGB0EG37MI17Ilaj3ssVrXbdzmUjHuIFDlci6ZpIp1Oi0RjTGO5THIsWNFoA9l1vHuYGve8u8dDlnXrui4SiYQwTVOYpukZFsqPez7dy9ZNO/uRXbrLsqnGmLTq+LeSe4w3v27vV8uX60j9qMMKuYdAkssXaYwVrNYrl0GuL3W4ID/ueuV6LxaLwjCMpmGIOlk/nS6XnFe5TcjP3NycKBaLTcP0dPPb6Gabc7ev2l7u9nTPTy/tvNHQZr/WzW9D/r7a1bcayzXOsXu9tOPettSPezuX85dOp53tQKapw30REdHut5bjlft8odWwP3IIRnn+pX6gDGkk0wzDELlcThSLRZFKpYTRYhxgOQ+tziU0TXPON9znae2GKpLHePexUp7bqeeORddwTq2Oo3KIS/XcrBX5Xe1EIhHnnE62cauhoeTytJq/nW4t23DPU67lSy3LEtPT087GLj/yRNN9oi7JcThlObkyDcMQmqY5G7O7PvmRJ69qeqTNOFxqWVmP+0TX/Wk1TbFY9AS5uq47G6oMetxBkTq9rEMo46/FYjFP8KvruqhUKm3nr5Pv6LSd23GPn5pqjMsrx1WLRCLO+vVbJ7JMJ/nS3NycE4zB1TYqy7JEOp122lDXdZH2GQPXvb7c89uO/G450DqU5Zc6WT9SJ8vlvmDQ6iOXUU2XeX7tLNu4k23OfRBwf1qly/nppZ03GlqsC9Hlb6PYuPDX6sC8mlbbiWzXdqzGmITu7Vw9OMr17t523MtERET9pd3xrx31GCU/bvIccLWP+zyg0hhvV+ZFIpFVz0F1XRe6rqvJQjTOTdVjXiqVajqvUuVyOc98GI0AXWU1xgxWbzi4yYC+E1bjRsNq8yeP+Wicd6rHe7d27bMboMdtWAghAuKnCroWCATQ46REu04gEAB++iWqWRvKtm2cPHkSp06dAhqP8LofF/rmm28wNTUF0zTbjmFLP+F+jYiI+tFuOP4VCgU888wzqFQqXb2j2w+q1SoeffRRzM3N7dp+YdayDTMgJloHWxUQR6NRnD59uu3OLRqNYnJykgFxB7hfIyKifrRbjn+yPwy/94/7WTKZxMrKyq5ul7Vsw5vWqRYRra9sNouFhQX83//9n5rlqFar+NnPfsZgmIiIiHa9K1euwDTNTe3UcrurVqtYWlry7cyMfsI7xERrVCqVsH//fgBAsVj07QlwI8hHgwDAMAxnrG/piy++wPfff48//elPvr0NUjPu14iIqB/tpuOffJ3s1Vdf7ftHp6vVKsbHx/viXHAt2zADYqI1iEajWFhY8KRFIpE1jwHcqVqthnfeeQeLi4swTRMAoGkaDh48iF/96lccSqdL3K8REVE/2o3Hv2w2i0ceeWTTblRsN6VSCXfu3GkaUmq3Wss2zICYiKiB+zUiIupHPP7RTreWbZjvEBMREREREVFfYkBMREREREREfYkBMREREREREfUlBsRERERERETUlxgQ07aTz+cRjUYRjUbVrF2nVCohmUwiEAioWbTNFAqFvtkuiYiItptsNotSqaQm941SqYRMJqMm0zpgQEzbSiaTwaVLl5qGMtqN8vk83n33XUxNTalZ20qpVEI8HkcgEEAgEMDAwACSySRs21aL7lqZTAavvfbahm2XmUzGaV/ZxtVqVS3miEajnvKBQICBOhERbbpCoYChoSHnWBSPx9sevzKZDMLhsHOsm5iYWPV8wrZtRKNRPPHEE54hlGzbRjKZxMDAQMfnJ/l83jO/Q0NDyOfzarFVdVNPPp93ljkajbadPzSG1BwaGmoqNzw8jH379nVUB3VJ9GgNkxI5YrGYmiTm5uYEABGJRNSsHW16eloUi0VPmmVZAsC2/T3Nzc0JTdOc+bYsSyQSCQFA6LouLMtSJ9nR2q2HYrG4odulaZoinU4728Nq7WuaptB1XRiG0bYcERHRatod/1pJpVJC0zSRy+WEaByXDMMQmqaJSqWiFheRSEREIhGRTqdFIpEQmqYJAL7ngpJlWcIwDN/zJ03ThKZpIhKJCMMwVj1+qvMrhBC5XE5omiZSqZSnbDvd1CPPaXO5nLAsS+i6vup5hN/yuuVyOR77ffSyDUs9T7mWLyUSjR2n33a00YHHVtF13XcHt50DYsMwfA9U8sAzPT2tZu1o7dbDZm2XqVTK2SYMw1CzPdLptEin02oyERFRV9od//zIY6I7KBSucztN0zwBWy6XaypbqVSc451pmp48KRaLiUQioSaLRCIh0um05zuKxaITZKvTyPnyO2bK426reXDrth7DMISu687/09PTAoDv+aBo1OFXtyoWi/men/WzbrdhNz4yTVsmlUqpSbtWNpuFaZpq8rZnmiYWFxdRq9U86YcOHQIA/PWvf/Wk09rdc889MAwDAFAul5FMJtUiREREW+rdd98FAOzZs8eTHgqFkEgkUK/XcfPmTSf94YcfRjwe95QdHBxEJBIBAPz73//25KHxOPbs7CxOnDihZgEAxsbGEAwGnf+Hh4cxOTkJAE2vo/3rX/8CADzwwAOedDSOu3CVaafbesrlMsLhsPP/I488AgD47LPPnDSpVCrh9u3bGBsbU7OanDp1CrOzsygUCmoW9YABMW2JfD6P2dlZNXlXqlarePXVV9XkHeHMmTNAiwMVADz++ONqEq2DQ4cOYXp6Gmgc1Fu9l0RERLQV5DlcKBRSs/Dkk08CykXzwcFBV4n/sG0bhmH45p8+fRq6rvvmycBXpQbdqkuXLqlJ+OGHH6BpGh5++GE1q6VO6ummAzDbtnHkyJGWy6UaHh6Gpmk4ffq0mkU92JSAWO0ARnb+oqYHAgFn4ymVSp50t2q1ing87rxEHw6Hkclkml4wr9VqmJiYwMDAAEqlkvPyfaDx4r27pzb3S/7RaLRlhwDqS/Tqy/u2bTf1kpzNZp264/F403y2otZTKBR851G2h99yuXXabtVq1dNu+XweAwMDCIfDnjuFamdL7drNLZPJYHR01PlfTt9qvt3rplX7ZbPZps4N1Ktm6nLVajVn/sPhcNdBRyftWSgUcODAAdTrdQDA/v37nbby4+6cYmhoqGV7rrYd1mo1Z7vLZDKoVqsIh8MYGBhw2sW93ch5isfjnh342NgYVlZWmg5GH3/8MQDg6NGjnvR+Ydu2sy3J7VK9i75WJ06cQCKRAACMjo623BZakb1iu38T3W7jRERE7fidk91///0AsGpHlPl8HqZp4tq1a2oWSqUSTNPEwYMH1ayOyCetpOHhYRiGgXK57OmUqlqtYmpqCn/84x89d5tb6aaebgLskydP4vLly74XGFo5ePAgTNPs+vyAfKjPUHeqm0ktyxKxWMz3nTh3Bz3qs/tqhz6i8Q4CGu8uWpYlLMtyntl3v2BeLBY9HdRMT08LwzBEKpXyvKOXy+VEIpEQsVhMpNNpoeu673yKxrwahuHMp3wPwP298nvQeNcwkUg47znIutX3Gvyk02kRiUQ89ch5lPXrui4qlYqzXLItAYi5uTlPfZ22W6VS8bSPbC857/L9D9l5gFw38r2NVh0p+JHfoXK/q9lJ+8n17O7UQZaV86cul1xPsmMHma5ug6102p6SXJd+74zI787lck5nE7K8+70TabXt0LIskU6nPe/RJBIJp85EIiGsRmcU8j0VOU2reXST66eTd1x2Gvhsj5J7uzQMQxiG4bQpGu9Ldbr9tJNW3guWv3f1fSy/slKi0VmJ3A+YpulZ/0RERG7tjn9+5LFPPd8UruNlqzorlYpz7tWqLxJ5TuV3jGun3Tu+lUrFOTfSNM05F+z0vFXqph5d133fIXa32/T0dE/HZnnepnbk1a9abW+d6HnKbr9UbqDqCb48Mfc72cvlcp4N2jRNoWma70YjA241r9VJoNyI1I6O5PxACY5kAKjOo6zfPZ+yRzk1OJRtoGmak9aO3KGo9bjnMZVKeeZJLpd7edfSbvJHZlmW005yOdTASX53p50OocXOstVyt9qGZFu4yXlRd4gyuFCXd7Uds9ta2lNtM6EExG4yqO91O5RtYLgu7hSLRWddAvCtx28e3eSFit1I3Y7c3Nulu43cB8b1aBc1yHX/3tWLLWpZofRo6WY1erf0yyMiov7W7vjnR543+Z3zyZsGfue77mBZfvyOnfK8xi/gbifduIGint9IZqMnbPndnZz3+em0Hr9ept3nZfLGlpxfSxnNo93xWgbXfuugH3W7Dbv1PGUvX9oqKGgVjLjvggnX1SK/H0ernupafaf8QfptRH7TGIbh+4NtFXS0qlvOYyfa1eM3j6LFNOvZbqJRnxqUCmUn12pH5NaqLfyWQfKbRt6tc2sVELdarlbl/ax3e/otk2gxTTfbYbtlkm2s1pXL5XznUSoWi01tvZv4rQep3XYpD3jtpu+UX5DbKuj2KysP0H6/QXnw9Pv9EhFR/+r2+CVvDsB1c8ayLJHL5ZyLr37HS2lubs45z/E7V5Hp7c5JVPICcrtpKpWK00Oz/A71XKgT3dTjbpNYLOYJfg3lznIkEnECenlhwe98U3RwJ77frKUdNuUdYunIkSMAgBs3bjhptm1jZWUFmqbh7bffdtJLpRJ0Xfc8S7+4uAgAuPvuu500aXBwEJqmAQBu3bqlZq9ZuVzG1NSU8z6e/IyPjzv529V6t9vt27dhmmZTW+zfv98p89VXX3mm2UhLS0tYWloCGu9wJJNJvPXWW2qxdbPe7dmN9doO5TswU1NTzvvTtm0jHo97Br1X3bhxA/Pz82py3xsZGXH+3oh3eQYHBz09Z2azWbUI0Nifym3A712oJ554Amj0Hr7e7zwTEVH/CIVCKJfLiMViuHjxIu69916cPHnSc27061//2jON28jICObn552+Mq5evaoW6drJkydx5syZlucxpVIJv/nNb3Dx4kXk83nkcjmgcVztZkSHbuuJx+NYXl6GEAL5fN45Pp87dw7Hjh1z+mmpVqtYWFjA8ePHEQwGEY/Hoes6O87aBJsaEMfjcWiahqmpKecl9JmZGZw6dQrxeBymaTod/ty4cQMvvPCCZ/rVTvZl1+/ffvutmrUuUqkUGnfVfT/b1Ua0m2EYTcvv/rTaGW2UUqmEoaEhjI+P48knn3R2sBthI9qzG+u1HS4tLWF6ehorKysYHR3FQw891DLQkjRN8w206D8deLTqkXut4vE40uk0AODFF1/07b1ytQtR7s7ROhlegoiIqJVQKIR8Pu+cf+Tzedx9990wTROapuG5555TJ2nyxhtvQNO0NQ9Nmc1mMTAw0HLIItu28eyzzyIWizk32+LxuCeY9TuuqtarnkKhgJWVFc+QUrITsn379jlp4XAYpmn6dl5G62dTA2K4hnG5efMmbNvGxx9/jOHhYTz//PMAgMuXL8O2bSwuLnruugCArusAgDt37njSVe4NaT3JO4M7zUa0W7lc3jY/zmQyif379+P111/H/Pw84vG4MxbcRtiI9uzGem6HJ06cwNdff+0JtFr19l2r1fDf//3fajI1yIP5Rl4MGhsbcy72PPvss/jmm288+ffdd5/z92p3qjdyPomIqD/9z//8DwDgzTff7OgCejAYxJ49e5yn63qRz+dRrVbbDll08+ZN1Ot1/OIXv/Ckx+NxZ5hDv7GBVetRT61Ww+nTp3HlyhU1q6XVLnjT2mx6QCyvFr399tuYmZlxHqMeHh6GrutYWFjA73//e7zyyivKlD91Lw4An3zyiZoFAFheXu56HLFO6bqOcrncctiSiYkJNWnbWO92k1fEzp07p2YBjat0m/U4puzmPpFINF1A2Sjr3Z7dWK/tsFQqOU9jBINBjI2N4ZNPPoGmaS0fNw+FQoivMr5fv7JtG/V6HbFYTM1ad2+88QYMw0C9XsfU1JQnLxQKORds/vGPf3jy0DgIA0AkElGziIiI1iSZTDqPUbvvfHZCPb+Qx6nvvvvOk67K5/P44IMP2gbDaIwR3Eo387oe9SSTSVy/fr2jCwaS3znljz/+CPCYvi42PSAOhUKIxWIwTRPvv/++5wcgg+CLFy/6Pmbx8ssvA43BwNXHEWq1GkzTxJkzZ7rawDp1/PhxoDEeaCaTcU4sa7Uaksnkht6RXKv1bjd5N39qagrxeNy5E2XbNrLZLP761792NY6apM5bJ+RJvxqAq3fO1vNu9nq0pzpdp9ZzO7x8+bLn/8HBQedxbz+FQqFpnGX6yczMDADg1Vdf9aRns9lVH0P3o26/bsFgEPPz8y2vpp8/fx5ozIu6ruR77WfPnvWkExERrUUymcTU1BRisVhXdz6r1Spu3brVFEw+/vjjwCqvn+XzeVy6dMn3+2zb9rzPK5/ac/djJMnz2AceeMCT7ncM76Uet0wmg8cff9z3KS1Zt/sO8/LyMnRd9z2n/PLLLwFXW9EaqL1sdWoNk7YdFqRdL21C6cpd9iInuz5Xe79194Cn9mAte+DVlfGPTdcYtmqPd+7u1d0fd3fpQhlb2Z3u7oG4VY9xbrI3Y7WedvPYarl6bbdWY5u5x/R1f9ShktqR3yF76ZPz1Wq5/drPneYep1n2+qfrukgkEsI0TWE2hm2Cz/Ygy0ciEd/eeVXdtKdw1W80xoyW683dO7E6tJZcx+o66GQ7tCzL6b3Rb5lkz4SxWMzZTmSauk0J15BXfm23m6DNfs3d03M6nXbadHp6Wmia1rQ/c/f+2K7HSze53tTfrx85P37rS+6DDFdP/cXGWOHq9kRERNTu+NeKaZqeHpT9jkeS1hhiNZ1Oe45LeouhheT5XSwWU7OEcJ2HGYYhIpFI08fvfEUeG93H8GJj9Aw19mh3DO+mHjdZph2/XqbV5ZDkfKjz16962Yalnqdcy5eKxkm9epIuGit3tRVbLBY93ZwbhtG0scjAUP2Ixryrn3Rj+BI1Xe0yPt0Y3wyNYEgdB1idXtbt7lq+Vd1uallZj988os1yudtyre2mmpub8wRn7uCqE7nGmLruYEL9XrRpP7njlfW450EG9bqui0ql0nK53Ds8NX01nbSnVKlUmgJcv2WKRCK+86puK+22w06WSe6UZR1oXDxoNf+i8Zvt5oLHToQW27pkmqYz7Jhse3nBRSUvaqgXdlpptT20k1PGanfL5XJNv89OLsQREVH/We34p5LHLHmh3+846JZKpZxztU6nk8dQlftmQruP37FXPTYahuEbkK92DO+0HslqDLHUbnmFMg6xpmltz8tatU+/QpfbsFtA/FRB1wKBQFc92hIRbXfcrxERUT/ajse/QqGAZ555BpVKxTNKAv30ePajjz6Kubm5TetDZ7tbyzbMgJiIqIH7NSIi6kfb9fgn+xpq1Zlov0omk1hZWWG7uKxlG970TrWIiIiIiIhWc+XKFZim6YyMQT/dHV5aWvLtTIx6w4CYiIiIiIi2HTmywnvvvef04tzPqtUqxsfHMT8/79vzNPWGj0wTETVwv0ZERP1oJxz/stksHnnkEd8hi/pBqVTCnTt3moaoop+sZRtmQExE1MD9GhER9SMe/2inW8s2zEemiYiIiIiIqC8xICYiIiIiIqK+xICYiIiIiIiI+hIDYiIiIiIiIupLDIiJiIiIiIioLzEgJiIiIiKiXSWbzaJUKqnJfaNUKiGTyajJ5IMBMRHRFiqVSggEAr6faDSqFiciItpWbNtGNptFOBxWs5rYto1kMvn/b+9uXts43jiAf/UPNKzUUyklaJ1DSCGhkZISkkJyyAobCoUWyRRKwSGtlOJDD7Ur16eSBAncQmn8ElIIPUTrNodc5Fo+tBCpASc2aGlDD/GaUkpP2hjaP2B+h+wsu6NdvdjJzy/6fkAQz+zbbMTOPqvZZxCPxxGLxZDL5bC5uakuFlAul9v6x1gsBsuy1EUBdx+ZTAZvvvlm25zF5XIZQ0NDiMViiMfjmJqaguM4gWUk9Vjj8TgKhULk8t302g7TNL1jzGQyXfe3ubmJdDrdttzZs2dx5syZnrYx8MQ27WBVIqI9aTeva/V6XQAQAEQ2mxWtVktdhFzZbFYtIiKiHdhO/9dqtcT8/LxIpVJe/9VJq9USuq6LVColbNsWrVZL5PN5oWmaaDab6uJCuOtomuZtX34Mw1AXFcJdPpVKiXq9rlYJwzCEYRiiVCp5+5V9rkruV9M0YRhGoI26rvfdR/fajmq1KgCISqXinS91GVVUe6VKpSJSqVTfx7zfdPv+dRIT25zBOLaDyY+JiPai3b6uxWIxAECpVMJnn32mVpP75Pz27dtYXl5Wq4iIaJt20v85joOXX34ZeBaRqNWeTCaDWq0G27aRTCYBd90jR45A13U8evRIXcUb8ttrn5jL5RCPxzE7OxsoN03Tq5csy8KJEycAIHBMAFAoFHD48GGMjY0hkUgA7oiut99+G1tbW8jn82376KTXdqTTaWxtbWFjYwNwh31//PHHqNfrbb92A8DU1BQOHTrUdbuy3fI8HEQ7+Q5zyDQREe0LjuPgiy++UIuJiGgXJRIJ6LquFgc0Gg3UajVks9lA4JlIJJDL5bC2ttYWrDmOg5s3b2JsbCxQHmVpaQmLi4v46KOP1CocPXo0EAwDwPHjx2EYBgDgv//+C9TBDV5lMAx3CLIMgufm5nxLdtZPO9bW1gJDz48dOwYAePDggW+pZxqNBtbX17sGwwDwySefYHFxEUtLS2oVMSAmIqL9Ynp6GrZtq8VERLTLur0/fOfOHQDAG2+8oVbhrbfeAgDcu3cvUC6v+adPn8bU1FTXd43Hx8eh6zqOHz+uVoWWwQ1WU6lUW33Ur79qUN2LXtvRTwIwx3Hw4YcfRh6n6uzZs9A0DePj42oVMSAmIuqPaZpIp9NeMox0Or2rT1w3Nze9IWKdkn40Gg0UCgVvWLZlWchkMojFYhgaGvLaoCYRCdtWGMdxYJomMpmMlwxMJlmJuYlTorZTLpcD5zSXy7XdGGQyGe+JfK1W85ZVl1MtLS15247H48jlckin00BIQjN/Nk55buRHUtvpuMlb1PUdx2lL3sJsn0Q0qFZWVgAAr7/+ulqFV199FfAtA7dvk9d827Zx7do16LoemQSr0WjAtm1cvHhRrYpkmiZs28atW7fUqq5SqZRaFKqfdhw9ejTwdydXrlzBN998E/i1vZuLFy/Ctu22JF7EgJiIqGeFQgEzMzP4+uuvIYRAs9mEbdsYGRnZlaBYPtm2bRtPnjyBEAKTk5OYm5vD+++/7y1nmibu3LnjdcqmaeLSpUu4cOECstms1wbLsrz18vk8NE3D3NwcvvrqK29bUe7evYuZmRnUajXAPVeWZeHy5cvQdR2Li4uYnp4OrOM4DtLpNH788UfcunULQgjU63Wsra3h3LlzgeFzy8vLqNfrAADDMCCEgBAi9J0qqdFoYGRkxPv/WltbA9whaXCfmAshkM1mlTWf7a9ararFbe2cnp72bkhu3rwJ+DKc/vnnn1hdXUWr1UIul8PExAQKhUJge0REg0CO7nnppZfUKs/W1pb372Qy6fWzlUrFG9p87dq10BkYfvrpJwDA4cOH1ao2lmWhUChgdHQU169fb/t1uBP56+57772nVoXqpx1y6Ll8fxgAHj9+DCgPEhYWFhCPxzE8POyV9UL+Ov/DDz+oVaRm2erVDlYlItqTOl3XKpWKANCWybFYLHoZIXdKZp0slUpqVaj5+fnQ5eV2VLJcPVbDMITMdmnbtlcuM1/ruh5YPorMjqlmDLVt2yv3k+fOv08hhGg2m96xhh1Pt4ybUqlUEqlUKlAmM336lUql0PMoIs6lPA5N07zjazab3r/z+XzbMfozjKrfISKi3aZe5/ol+5Eo8loadv3zz7IQlW1auP2wvI6q12u5/2q1GihX+fclP/l8Xl0sUqlU2laWab9O7QjLMu3vx5rNZiBjtMzUDbevVvt3P3nPoPZPB0Wn7183215zJzslItqLOl3X1E7pRZCds9pBRpEdp3oDILejiirvNyCM0ilgVbfTarUEgMhzms1mBZQblU7bDyPbpd4gqDc//ba/03HIdqn7FL4btmKxqFYREe0q9TrXr+cVEKsPSFX+B69+nbYfplqtesccdf1XyQebve6jk6h2CDdg1nVdQJmGUU4p5X9oYBiGF6DLB/fqPYHkP88H0U7axSHTRERdOI4D27YD2Sb3guHhYQghMDw87L3bKt+P3etWV1cBd4hYmPPnzwPKO2X9evfdd6FpGkZHR5HJZLxh7b0mIdmOP/74AwAwOjoaeAc5Fot5w6zX19eVtYiICO4Q406Gh4dhGAa2trYik1P1Ynh4GMvLy8jn84DvlZdOrly5gsnJyY6v6vSqUztyuRw2NjYghIBpml4/OT09jUuXLnlDvC3LQq1Ww+XLl71s3bquM3HWNjAgJiLqQgY5e5HjOJiamsLp06fx22+/bSs5yG74/fff1aIAOdXETrJKJ5NJPHnyBMViEbVaDSMjIxgaGuqaiOt5qFarcEdhtX04hzIRDRpN09SiNr0sAwDvvPMOEDFVUr++/PJLaJrWta+R7+32MsVRr/ppx9LSEp4+fRqYUko+ZD1z5oxXNjQ0BNu22xJ2UWcMiImIunjllVcAt/PZS52MZVk4cuQI1tfXsbq6iqtXr/aVHGQ3vfbaawCAhw8fqlUBMgHJdiUSCVy9ehW2bSOfz8O2bZw7d+6FB8W//vqrWkRENLBk9meZJMpPlvWaIfrQoUPQNO259HeJRAKnTp3qGIybpgnLsp776KJe27G5uYnx8XHcuHFDrYq0lx/k70UMiImIukgmk15neffuXbUacKcO+n+7fv06tra2MDs7Gzn0eK86deoU4GYVDZsC4u+//wYAXLhwQa3qWblc9h5gJJNJzM7OolKpAAC+/fZbZennQz48mZubC22XnI6JiGiQfPDBBwCAX375Ra3yrpVymW7u37/vDXWW5MNT2Xf0K2p+YdM0ce/eveceDCOiHWEKhQJu377dVz8fNoXTv//+CzyHB80HEQNiIqIeTE5OAgA+//zzwK+Ljjtvr/zFU5aVy+UXPhWTfL/2n3/+8crUd5H20i/afslk0rsRmJiYUKtx//59aJqGsbExtcrjOE5o0On33XffBf4Ou+mRw81+/vnnQPnCwkLg714kk0nvvbDz58/DNE3v/0DO/ewf3kZEdBD4pwoKI9+ZXVlZCfRLMv9FKpUKTCPUaDQCU+9JlmVhZWUFn376aaD85MmTAIC//vorUN6NZVl4+PBhYCiyZJomZmZmQn+ZlX2/38LCQlu/0W87VOVyGSdPngx9b1n2JQ8ePPDKNjY2oOt6aPAsX1WS54p81CxbvdrBqkREe1Kn65rM7igzNKZSKWEYhtA0LTJrcaftqfzZH/1ZJTuRmZg1TROlUknk83mRzWa96Rzy+byXOVNmtIQyrUWr1fK2o+7Xf0y9ZNX0T/3g345/GiV/9kv/Oc3n8946cmoINVOmfzvFYlEYhtHxPPmzR8vlZJm/PTJzqDwHpVJJGIYR2F82m/WOR04X5Z92yc+2bW976kf9rhAR7QXoo79S+a+VYRn2pWaz6fWZrVZL2Lbt9aPqdEsyA3QqlRKVSkXU63VRLBbbsixL8hiy2axaJYQQQtM0r6+U1+16vR45VZHM2Cz7evUDQMzPz3vLR/WX/bbDr16vR87EIIVlmfYfl5/so3vpz/ejnXyHt73mTnZKRLQXdbuutVotUSqVvGBH1/XQqRrq9brQNC2yY/bzd6LqxwiZ1sev1Wp5na2u614nKAM2Ob2Pf2oJ/7aj9l2v10PXCWurpC4rlw/bjr9d8pzKKSbkzVLUjYJsm67rkctIcv/+4DSVSoXeDFSrVe8YDDcYFu5NlP941LbIdqpa7tyQ/u9K1E0KEdFuQ5f+L4p6PZSfKLZtBx7m+h+G+sn5duX2DMMIDVz9dF0Xuq6rxUK4fYfaFxSLxdCHmv4HyJ0+/uNuuXMGhz0Q7rcdwvfAOOz4/GRfI89np36m0/k5CNDhe9dNTDzbQN9isRi2uSoR0Z7E6xoREQ2ig9D/LS0tYWRkBM1ms2uiqkFjWRZOnDiBarUaGJp+kOzkO8yAmIjIxesaERENooPS/8k8EWHv7Q6yQqGAp0+fHujzspPvMJNqERERERHRvnfjxg3Ytv3Ck1ruJ5Zl4dGjR6HJwegZBsRERERERLTvJRIJLC8v4/vvv+86C8EgsCwLExMTWF5eDs08Tc9wyDQRkYvXNSIiGkQHsf9bWFjAsWPHQqcsGgSNRgOPHz8OnVLqINrJd5gBMRGRi9c1IiIaROz/aL/byXeYQ6aJiIiIiIhoIDEgJiIiIiIiooHEgJiIiIiIiIgGEgNiIiIiIiIiGkgMiImIiIiIiGggMSAmIiIiIiKigcSAmIiIiIiIiAYSA2IiIiIiIiIaSAyIiYiIiIiIaCAxICYiIiIiIqKBxICYiIiIiIiIBhIDYiIiIiIiIhpIDIiJiIiIiIhoIDEgJiIiIiIiooHEgJiIiIiIiIgGEgNiIiIiIiIiGkgMiImIiIiIiGggMSAmIiIiIiKigcSAmIiIiIiIiAZSTAgh1MJexGIxtYiIiIiIiIjo/26bYS3+B1mHgxNIHqS2AAAAAElFTkSuQmCC\" width=\"641\" height=\"385\"\u003e\u003c/p\u003e\n\u003cp\u003eFigure 4.3 below shows the known complications of malaria in pregnacy among the pregnant women. The most commonly known complication was miscarriage (40%), followed by maternal death (37%), anemia (20%), preterm labour (16%), and low birth weight (15%). A significant (32%) proportion of women were not sure of the complications of malaria in pregnancy.\u003c/p\u003e\n\u003cp\u003eFigure 4.4 below shows the known preventative measures of malaria in pregnancy. The most commonly known preventive measure was sleeping under a mosquito net (60%), followed by indoor residual spraying (IRS) (55%), taking Fansider (43%), avoiding stagnant water (34%), and early ANC visits (20%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eQUALITATIVE FINDINGS OF KNOWLEDGE AMONG PREGNANT WOMEN\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 1: Knowledge Of Malaria In Pregnancy\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eParticipants demonstrated a general understanding of malaria transmission and prevention, with several correctly identifying mosquito bites as the primary cause and acknowledging the importance of taking Fansidar (IPTp) at appropriate times during pregnancy. However, the discussions also revealed gaps in knowledge, particularly regarding the potential complications of malaria in pregnancy.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Malaria in pregnancy happens when an infected mosquito bites a pregnant woman\u0026rdquo;.\u003c/em\u003e - Participant 3, FGD Matumbo Health Post\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I was told that Fansidar should be started after the first 3 months and should be at the clinic\u0026rdquo;-\u003c/em\u003e Participant 1, FGD Ilondola Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I thought malaria only gives fever and body pains. I didn\u0026rsquo;t know it could cause the baby to be born too early or too small.\u0026rdquo;\u003c/em\u003e Participant 6, FGD Mulanga Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 2: Community misconceptions of malaria in pregnancy\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFocus group discussions revealed persistent cultural and traditional beliefs that hinder effective prevention. Some participants reported that malaria in pregnancy is believed to result from non-biomedical causes such as getting soaked in the rain. Others highlighted misconceptions about the safety of preventive measures. Additionally, there were concerns about insecticide-treated nets (ITNs), with some advising against their use due to fears that they are satanic. These misconceptions contribute to poor uptake of proven malaria prevention strategies in the community.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Some people in our village say malaria in pregnancy can also be caused by getting soaked in the rains\u0026rdquo;\u003c/em\u003e. Participant 2, FGD Kalalantekwe Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;There are women who believe that taking Fansidar will harm the baby or cause miscarriage, so they refuse it even when the nurse offers it.\u0026rdquo;.\u0026nbsp;\u003c/em\u003eParticipant 5, FGD Ilondola Health Post\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Our friends tell us not to use mosquito nets because they are satanic and can bring problems to the baby.\u0026rdquo;\u003c/em\u003e- Participant 4, FGD Lwanya Rural Health Post\u003c/p\u003e\n\u003ch3 id=\"_Toc205292383\"\u003e4.4.2 HEALTHCARE WORKERS KNOWLEDGE ON MALARIA IN PREGNANCY\u003c/h3\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 3: Perceived knowledge of health care workers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHealth care workers demonstrated a solid understanding of malaria in pregnancy, identifying mosquito-transmitted parasites as the primary cause. Respondents recognized serious complications such as maternal anemia, miscarriage, and low birth weight in newborns as common outcomes of malaria during pregnancy. Most facilities reported having preventive strategies in place, including the administration of Fansidar (IPTp), distribution of insecticide-treated nets (ITNs), and periodic indoor residual spraying (IRS) when supported by the district. While many health workers confirmed adherence to the directly observed therapy (DOT) strategy for IPTp, challenges such as lack of clean drinking water or cups sometimes hinder full implementation, leading to missed opportunities for effective malaria prevention.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Malaria in pregnancy is caused by a mosquito bites. It becomes more dangerous during pregnancy because of the lowered immunity.\u0026rdquo;\u003c/em\u003e- Clinic officer, Mulanga Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;If a pregnant woman gets malaria, she can lose the baby, or the baby may be born with low weight.\u0026rdquo;\u003c/em\u003e- Midwife, Matumbo Health Post\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;We have Fansidar, mosquito nets, and sometimes do IRS campaigns when supported by the district. But the main prevention we rely on is giving IPTp during ANC.\u0026rdquo;\u003c/em\u003e- Nurse, Lwanya Rural Health Post\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Yes, we follow DOT. We make sure the woman swallows the Fansidar right here at the clinic. But when we don\u0026rsquo;t have clean cups or water, some women go without\u0026rdquo;\u003c/em\u003e- Nurse-midwife, Ilondola Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 4: Experiences on system and supply factors affecting prevention of malaria\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHealth workers reported frequent stock-outs of Fansidar, which disrupted IPTp delivery. DOT implementation was also inconsistent due to lack of clean water and cups. ITNs were not always available, meaning some pregnant women missed out. Additionally, IRS was irregular, with some areas going over a year without spraying. These system and supply gaps hinder effective malaria prevention in pregnancy.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Yes, we face challenges with IPTp. Sometimes there are stock-outs of Fansidar, and when we don\u0026rsquo;t have cups or clean water, we can\u0026rsquo;t practice DOT properly.\u0026rdquo;-\u0026nbsp;\u003c/em\u003eMidwife, Ilondola Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;ITNs are not always available. We only give them when we receive supplies, so not every pregnant woman goes home with a net.\u0026rdquo;\u003c/em\u003e- Nurse, Kalalantekwe Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;IRS is not done regularly. The last time our catchment area was sprayed was over a year ago. It depends on whether the district receives funding or not.\u0026rdquo;\u003c/em\u003e- Registered Nurse mid-wife, Mulanga RHC\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 5: Perceptions and cultural beliefs\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHealth care workers noted mixed attitudes among pregnant women toward malaria in pregnancy. While some women, especially those with prior complications, viewed malaria as a serious health threat, others perceived it as a minor illness that would resolve on its own. Misconceptions about the importance and safety of taking Fansidar during pregnancy were also reported. In response, health workers emphasized the role of antenatal care (ANC) education in addressing these beliefs, using simple explanations.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Some pregnant women take malaria seriously, especially those who have experienced complications before. But others think it\u0026rsquo;s just a normal illness that will go away.\u0026rdquo;-\u003c/em\u003e Midwife, Ilondola Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;There are still women who believe that taking Fansidar is not very important for the pregnancy.\u0026rdquo;\u003c/em\u003e- Nurse, Matumbo Health Post\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;During ANC sessions, we explain that malaria is caused by mosquito bites and that SP is safe.\u0026rdquo;-\u0026nbsp;\u003c/em\u003eNurse midwife, Kalalantekwe Rural Health Centre\u003c/p\u003e\n\u003ch2 id=\"_Toc205292384\"\u003e4.5 PREVENTION AND CASE MANAGEMENT PRACTICES\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003e4.5.1 AMONG PREGNANT WOMEN\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTable 4.4 shows the prevention and practices among pregnant women. Majority (55.7%) of the respondents received more than 3 doses of Fansider. Among women that had ever missed a dose, the common (13.3%) reason was due to drug being out of stock. Majority (57.3%) of the women agreed that the Fansider was given under observation (DOT). However, 27.9% of the women denied receiving the drug under observation, and 14.9% were not sure. Only a few (31.6%) received insecticide treated mosquito nets despite majority (58.8%) of the respondents sleeping under a mosquito net. Further, few houses (28.9%) had been sprayed. Majority of the women (19.8%) had never suffered from malaria in their current pregnancies.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.4 Prevention and practices among pregnant women\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg 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SQSCqNpI7qnk+Iz8/NGiDFEPzpeojDq3IveRAu0bSJyt4FOjYcGR8lyn3+BsnBX9w98EYlEaHAtvtDcTtwuDu+iJ98G97mR2dzRNzaf1nNyrNrIrDUZojDfG6xIOazThMuRfo8gJo6THDupukHt5eFSDUPuVSapMO+TeQFhttdVKkSM3sJlyz1mICQu4cRyo+3jvnRzLOTW7TJZqkBFIcj/IrZt1SwT+F4FukHupNUhWHIkY2I5G7pE0BIxyHwQ67kMKKbORgoLUcQ5GU+7leMt1p6w7+EIaS135jpx75C727NWVf+8m+FF82yX39XP/EU0bPSMLQTmQ7cg5F8lXJpEJ5fLuVhtYA4d2yH0cDdluf5ZKLJUnxFL3wcS+AaRXHepOCSJtv0M4QZR+/MX+QREE9ZSaHPX0e1hQ0KX4NEsbqiv3/j2W0yAVClfDAWODMuw5VtT9Orn3f5u2HeUZpk4iBTInZF4o+zDZhJB7mz4QaGEwG1acXtPso1IaUihLvhb1nSIfnlh9s009515YRl5c3eTVmWB4c3L3OAZCQRGaoq4bdHL5dHAhp9hg0phzb+ALQcbJPwamDSZy8urn3HNYeLr1lCGTHu9fZwS0TSI88LREYKoikOR+qrZMlisR6B4C4yX3yDcFNk6Ma1aiOrmPtJq4jhJLyRfRJ/QhbXKvEXsRceRMuoUUGGozch9fgo+c7zo5d5qMHHXKcZB7z6c8N+bciwTgIk7FkcrLufABJoTRxk0bZinZNmtS3JVH2o80YmS2HmmInHv1wlE4GcioXH8nwagbo5ojz5wg6TW4z1gWOfeUe2lMIg54k/0I8EeMOyH3Nry6D4/xcSfRBs+OD1ZJe0HUGRUfIZbKI+MCZ4O7CIB2gIE9itpPve2/0E72FsBEHr93NNtQKxpjr6TIh3Yj5I5m+B/eRESt5/BzIgjB3kU89X/lQ+brx3Dqe5HKzfloljo1Vlv08+8nhNwDyABxUo3BrPM2swg9+Z0wl6MzY9OtziK1R+PxQm3AkatnN7cBUDcDWM49oi4vzfXytSIfS2flNTqbNTbm+L9BUyf3nmkSMPkg6EJg9Y8i1D/eEB+CMMnoUBwQZpDrWNKQDKa0RGAqI5Dkfiq3TpYtEegOAp2Qexsw60cPxuEWrVJMrbPIobx062WQ8yg5xRURZ3Kq5dIj3JRh/7YGE9EQYyIcAolUOl6a1ck9wkiNRp49K+olMkBARAylZigr7uEUHuZ9PqrpXkST0ixjAJH2fqfpIaxy0kX4Ke82dfqKKiP6iTB4j3cizngFlV7Of53cUsCl7sQG4rFaMA7ggAWslUkKi8iCckqFCudhrGf5PSIcR2EiuHGveiLI8FR2mRUyG+pHVMbz3actZS8QNgmn6khVd0oO/Kn8RNBWJJqDxInisMnmaPYl3Hgfhws/wwGJpnXjIPkZ58A+Rk5aMx6oHsRfnFHbDptNGLk3cBFtgz5OwGkEWwPEMZY20krdMbDkvRkg/hjMOr8JJzbjaFydKo6yRPxt2Ijfe6YBTLGXz8/bow7o3DZncCR46CYhnVZYjILAG9TxOQauk3ITeWKxwTZ2YHuWcjrWi7crRMSLN2A8K0/JGbah1Z/1TXLfn+2WpU4EOkGgHXJPPLNWUrBjzbamWt/cb61sNAQYiUbwEGqkDxFuTN1BWm1O9TskzXpZV2c9mzKMnFvvPTPW2sa0GkKaa2PTK9U+CCqFm+KNkCqPuiDgBEBKMz7gGnVF+OsbXRF8h3DIBFBvZBthivP4cRmHcuAtohWcj1DA67iEIxBHgo/WTlKMcBmchENBlaa6qyNMCYUcH0JnJyajAN72SSD3OBMnJPZDiDrgLwh3s/0D2t/hI+7lZHgW58fP8Tr9pP7NgVZlw7MInZwEUZNWxgnQZnHmf+N1HA28SlQCR7Sfoe5s1s+5H9YPjE4Yue+kI7a6th82o/ZDGbvRFvmMwUQgyf1gtmvWKhGoI9AOuR8Lsca1rpdrH4ciUnnr5L6X7xyr/u3yFEeGEv/iuMh27xvv+3t534zizTmRYiRLAjGPU4fqZZ7Rd3iWiIrISkSPmqWB9xKnqfDsviL3UwGwLEMiMMgIJLkf5NbNuiUC/4tAN8j9RGKJFEqjYUiyIyWnsplHqeHSilZfffWivLfKWJjK9ehF2ZB6qTKyIUQLemEyM6RQ2fwbG6l78Z6p/Mwk91O5dbJsicAEI5DkfoIBz9clApOAQL+Q+1BxpdHEgRjSSaTpdEPh7QX0DgNxSIdDRKSOcEpa7TPsxfv74Zk2L0vlsXnXfopubna1n8OxmD/84Q+n2+/RD9h0q4xJ7ruFZD4nERgABJLcD0AjZhUSgTEQ6BdyrxpOd5GrHcq3/HibZOXjT1WTk045tv9P2eXzp02LgHbkqNlcO9rpS53g5sQc/cJG6NHO/+/kmf16bZL7fm25LHci0AMEktz3ANR8ZCIwxRDoF3I/mjo/VZX7qVquKdYFszg9RiDJfY8BzscnAv2EQJL7fmqtLGsiMD4E+oXcj692eVcikAgkuc8+kAgkAiMIJLnPzpAIDD4CSe4Hv42zhsONQJL74W7/rH0iMA0CSe6zQyQCg49AkvvBb+Os4XAjkOR+uNs/a58IJLnPPpAIDBkCSe6HrMGzukOHQJL7oWvyrHAi0BqBVO6zdyQCg49AkvvBb+Os4XAjkOR+uNs/a58IpHKffSARGDIEktwPWYNndYcOgST3Q9fkWeFEIJX77AOJwDAjkOR+mFs/6z4MCCS5H4ZWzjomAm0ikGk5bQKVlyUCfYxAkvs+brwseiLQBgJJ7tsAKS9JBIYFgST3w9LSWc9hRiDJ/TC3ftZ9GBBIcj8MrZx1TATaRCDJfZtA5WWJQB8jkOS+jxsvi54ItIFAkvs2QMpLEoFhQSDJ/bC0dNZzmBFIcj/MrZ91HwYEktwPQytnHROBNhFIct8mUHlZItDHCCS57+PGy6InAm0g0DG5/+AHP1hdeumlbTw6L0kEEoF+Q+Doo4+u1llnnWqNNdbot6JneROBRKBNBJLctwlUXpYI9CkC559/fvW3v/2twtkbbabnn3/++foPH3nkkWr++eevXvKSl1QNv+rT6mexE4FEoI7Av/71r+oFL3hB+ZOWCCQCg4fATDPNVD3xxBO5jg9e02aNEoERBJ588snq3HPPrd71rneNTe7/9Kc/VTvuuGP13e9+NyFMBBKBAUTgyCOPrNZaa63qTW960wDWLquUCCQCEEjlPvtBIjDYCHzta1+riHU777xze+T+fe97X3XllVcONipZu0RgSBHInPshbfis9lAhkOR+qJo7KzuECHScc5/kfgh7SVZ5aBBIcj80TZ0VHWIEktwPceNn1YcCgST3Q9HMWclEoD0Ekty3h1NelQj0MwJJ7vu59bLsicDYCCS5Hxujvrriv//9b8mzmnXWWQduU+Szzz5bPfPMM2Uz92yzzVbqONXt3//+d/X0009XL3rRi0ZtD9c999xzpU4zzzzzpFVr0Mm9/gPrOeaYY9IwzhcnApONQD+Re/Oi8k7mvNit9rI+q88LX/jCbj0yn5MINEWg6+T+H//4R3XttdcWQuPEDZ3Zz2zQW2ihharf//731XXXXVfNPvvsZcBGR99ggw2qWWaZJZtpBhD4wx/+UF1yySXVwQcfXJ111lnVZpttNgNPm1q3/u53v6tOP/306uabb66uuuqqaosttqhOOumk6hWveEUp6OOPP15dccUVpV/pdxyc//znP5WTITgDFoYXv/jF1Rvf+MZq3nnnnbDKXXDBBdV2221XXXbZZdUmm2wy3XuVUd1OPvnk6vLLL69OOOGEar311puw8jW+qB1yr58Z4+FAIsscryWWWKJ6/etfP2llH+vF119/fWXD8L333lvdc889Zf6ZDDM33nTTTdWjjz5azTPPPKVP6ptpicBEITAecm+c//znP6+WXXbZtpzjG2+8sXrZy15W5oW6OZjjtttuKxzB/P26172u5dpvbvzxj39c5pXll19+Onj++te/VjfccEO16aabjgrdnXfeWTk9pJ0jfv/4xz+W8llDlG/FFVecTpj585//XN5LZDJftxKabr/99uqVr3xlNffcc5fyue/CCy8sY36VVVaZqObO9wwhAl0n9wbQxRdfXH3uc5+r7r777mrBBRcs52y+973vLYPconr22WcXEuMMzmWWWabaa6+9qve///19ocRO5T7y29/+tvryl79cHXXUUeVEo4033ngqF7ftsiHAb3jDG6q99967sufjoosuqt7+9rdXxx57bPlZTJpf+tKXSv2Rz5122qksBpxLZN+ixOGxUDjHfaKMM/uDH/yg4ryGI1J/twXzrrvuqj71qU+V70d8//vfr1ZfffWJKt5072mH3N9///3FWTnmmGOqhx56qCxexu+6665bvfnNb560sje+mMP3q1/9agRP2HJ84+eTQe4RhwMPPLD65z//Wf3iF7+ofv3rX1dbb711ObIs1bwp03UGviCdkHvRLnPY17/+9crZ2b/85S+rpZdeelSMjDtr+6c//enqgAMOGLmWKPDFL36xEHtCzd///vdq//33rw499NDpnmdsmNM/8pGPVIsvvvh0vyfa7LffftXnP//5UY/mNt5f+9rXVossskjFwR/NfvrTnxZuEg44YVL5P/GJT4zc9pe//KXafPPNq9VWW604Adamz372s9M99oEHHqh8N+Swww4rPCjM2DcHcFisZ2mJQC8Q6Dq5j0JS59dcc83qne98Z5kUGm3bbbctZAZRa6Zo9qKyw/BMk/Bb3vKWgSL3P/zhDwtpRIItGAyppHo2plccccQRFYKKyMEhDIk+5ZRTqle/+tXVhhtuOOW6wvHHH18m/H4g9wGeaMMee+xRfec736ne9ra3TTlMYWmOQSaY6MIuu+xSog6TodxzUs8888xCjKiV/v+Zz3ymEIBvfvOb1ZZbbjnlMMwCDSYCnZB7JBoJR+yNH6LdaOReNJ6wIkJ23HHHFfGOUdlFMtdff/1qgQUWKM8kwoi4UvN9Q6du22+/feVPK1XeqX0iuJGq2aqlzE2iogQWUd9WhrQr31vf+tZSFuUjWnzve98rivt8881XblXmH/3oRxWRgzOw0UYbVbfccsvI2uQamBESCGxrr732dK/kcOBAhLhVV111MDtZ1mpSEegZuefRWsAMznPOOWe6Svq5BQ0xmEpq36S2RhdejtCYxAZJuad8HH744WMuKuCj9HzoQx8qx7WapOtGhfnZz35WFOapZgjoQQcd1FfkXiTkAx/4wIRHQ9ppOxEbyhgiIcLAkIBdd9110sg9xQ5hqJMYKqiURSQfcUpLBCYCgU7IfZSH0i6VZCxyj+xS1I29OrnX9znYL33pS0eqyNn17RxK/2te85qRnzujWzRTdKtZyotnvfvd7y7iDvGw1Uc1Ke7IsxTVsch9s/KJBMs84KgQhpgIABwIkxwC5SYoffSjHx0pv/RYUQKRi2ZmfjLmb7311pLJIL0nLRHoJgJTktzziE0gFmMDiZMgZE3pkqtqQEU+PwIn1cK1zHXy6gx6SoNBs9RSSxWlQf51o3kX1UCUQcgc+ZtzzjmrlVdeuTyDxy6lg8m9oziEeae8Ql/u9R65iK961atGfq+cJgXv9yyD3eSGdFjg/ZsqTelgJigTkGfJ51Mu9TE5tcoTdw+CoB4mQV8elALVSO5NXOqmPhRvmDYqJcpKHZefHvVYbrnlRupDbaBQ+HvRRRctGNU3OY11f7OOq44mcMSbMgLjueaaq1wq5/Gaa66pTjvttKKofOELXyjhTWk19XaoP7cVuf/Nb34zUieY6QvSmORiPvXUU+W5wqty9hki5vfKoEwwlmIDF+0c9TZJ6x9CsNrYwqW9fcWZPfbYY+VeYWH5p2Ha3GL54IMPlj4u4kLBpRJFWo7QsP5F8bIhV1sstthiI8/Q7yjQ2lK7wn+llVYqe1vGa+2k5cSzOyX3kbMLR/WRd/ryl798pKj6gvHtOvVEQGAfpu9pE/0DZsbpwgt5ICn/AAAgAElEQVQvPF1V4cIhFFnYaqutqh122KFgt+SSS5YPelDuhfz1df1Cuxhj9fkh8oKNJ22qb0SbGrciR/6YazzDfKVPKm8n6TXyb5EYimK9f4y3/fK+RKAdBMZD7u+4446ydpnPIoLa+K4zzjij5LZLlzSe6uS+Wbk+/vGPF2KPDNfNXMoRl3rZaOZvDsFuu+1WCLYU4Gbk3lwiRdi8qixjkftm5dtnn33K+P7Wt75Vfm3tQ+ap8d5tbjbf18m99exjH/tYEWpGs8huqEek22m7vCYRaAeBnpN7YS3eeaP5OfLdqNy71qAQ1kNIKbCIOYJn0eRJ77nnnoUA2FDJq7ZJTjoGk97g2RZ+15144oll4hDaayT3IgpSNQxQg5gXjYAjfD7ZK2Rm8kHAEAKTg8kiNr8JqyFpFAphP5t/lIky7BlyAREgkw8icN9995UQJEfCYq4OQnznnXdecVZMZP6PYCLn8hDV2SQyGpmFIfVPrjkyjATVyb3JRsqHHEGOg99xTJCKiJqYaA455JCicJickUxElqrATHAUcSFOeHzlK18pyglVFK7woZLU77fH4qtf/WrLfsgpgxGSx7S1SR1Bdy+CrY9QZpRHW3By3vGOd0xDcusvCHKvHdWXcXzkNNfzJjlPcjml6MAYEYSFAeG93ilasMIKKxQCx/GDm8nd3xwMxP7UU08t5N6Ej2BTnGAmJcjP9Vdl0u71dKD3vOc9pQ0Qc8+WPqK/a0vk3rO32Wab0i/0JznuCKdy+r3ImH7lfRYvz6D+77777uV947VeknvKlr6tDfV5TqZxrZ/pU5xSqh8nXt9A0sOxVjd9LNrCOBT2NtYbDXHXl4x/bRqhcc6o8WU8aPuf/OQnJaz+8MMPl3kgnsVJ8m/v4nAawxwm41BfMZ/AyTgxZrSF8nK0YI90jGXGPsLAYTXuc3PdWIjl77uJwHjJPfFAf29G7m0e1Z/ln1sjrTWtyD2n2dgnalgjIuVFHY0v6TbmCHN9oxnX1gfpPsaxHPlGcm9utT6ZIzjcnZJ75TO3S78xn9cdb3UnSpg/iA2EA+uGFGRzljKZp81vo5k11WZcgkN9bepmO+ezhheBnpN7anJjXrSBRql1Oo6BHASTMoAcIvjIKkN2kGhevImCWaApBBTXUFqRToTOgIlBhWAjV3FfYzNT1hE4hPzb3/52Id3KJGXIe91n46aBLITGgbDAm3iQC6egIGXIAzJGzeVsmLQovgikwYtwSbmg/CGrBrPfUQttKpZrS8FvnKCQOgs/1bCZITAf/vCHq2984xtFsUUYED7vCnKPMHJKODcmOtgjJSY8ZUZubIg0iXpGbH5yP1Lj2cpF2TbJeRaDBexMzJRRWCinzVHRbn6nvs0MSUackSNty5AqpBl5pWiGOv7JT36yODrIE5VkNAtyb3GJ05e8i5KLkIUh4/oPp4tx5PwxmSNa+iel13PUg7OJvIsU2SOCbLpGX7TIrLXWWgV/4WgkHkm1wOgv8OGccAIZEkut0QeQd6afILKcRPW3sNls5f/Gh2dZLClC2pgD4nrv5bh5L+dUX4XreK1X5J4DjhToT4wjTJ2nwJmEOOEcIE4M45AZ09qcUfotpuEI6mcW2WbkPuqur8OGE8tgaI+AuYOA4FmiI8YZsqNNGKfK+I7xqN9rMz8TCfBzTpk6mF/CITHGzHeuC5W/VTs4PcPY9CzzgH6Xofnx9tq8r1MEekHurWsEIOtIzFfNyD2RCyEWATNGrY/W4IioUv0RdvNZ41xm/qD0I8PubUXupbiZP2IfSyfknjigfIQ796lTOBD+b072bOOfCESgIrwwIqE5wpxiPSPiWOOd9GaurhtBxlpibiNcpCUC3USg5+Re526m3vKqEZ+6ci9/1wKLtMbiaIBZNCndsemGSoYoUQkMPOY5HAODMH5mkrD4W4ibGTKGzCKgJoxwQigPyEM9XBZ7CLyTAknpNnFQyZFjZuDXIxUUQWkDHAe76xmlQtk5BbGR2MKONCOMyAdD/JR/tN39nBGKh70LYVdffXV5Fjw4HdRBk41UCKkMYSZJhF49Kb8iFerkvdJ1TP6cAYSXOoyEUykQEoTUxGuyij0VVAv3Km/c7x6krpkhkepL7YlyUWyRcPcgrpGSwYnw87FyPb0nyD1MI7def1E3RC8MAafGxH4QEQgOBBIOV+b9ygYrEzCnSJvD3H0INkePw2GC5whoX1EWqTvRL/XfIPfIKgeG04b0h+m3+mJsqFVm2AotU431VcSRIxHOqmeJatXrOqOTQ6/IvbFhDAtnG9McN04UB1NdLZIWbAReCpP+x6kLRYsTr19rC+o5p8zzOAetzDthGnmvkXOvjxrvEcnT3vpHkHnzB6FBuZiyaYu6kmjsEg/00xATEAqpbxb/uhLZWL4gMd7JWVMeuKh7WiIwEQh0m9ybz4zLWHsRd/+P9bJZnUR/ze1SGuun6shtt15xAuprlp+ZZ81RkaZqLRatrwtj+IbxWz/BphNyH2UlMhKxrHvEPZHj+vrJKbG+EyilqeIzHAPXEffMY+onyiAKKGJY5yLWD+smLtBqz8BE9IV8x2Ai0HNy38mGWoSe+muw1NV+hAYRtLBT8RlCZcCGskf9paRS/Kjg1FqENRboZs0X5N6ibbGPdBtkFxE0QUTOuYFJkVAOakEY8uV33uk5zch9/SSMOM2m8dxzkQrOBAIrxxf5NDFEaklj+UMZoZZQBcIaN9QiyggSbOqYSkWi8nI6KI0iHhRLE5noA5zj3UHEYYGAMwRf7jP1M4i/I/2oGe6n5I92CoBnOecbxvWQZzgd9WMux0PuGzfUmnjVjyGU8Y0FThCCJlLAGfP/Orl3fKV8f+QSuUfmkXcODwxgp3/CRbhYfw9nrxm510f0S05YfSN5qw21iB/HUrsqYzNyr09162z8XpB7fct4Ff3gJMVCRr22SFuE9SVOkLrCmKNfrxOc991339J20l4sio7HC6LcbHy3IveNp+XUyX39eUg659O77X2ok3vKHXLPyY0Ngvq9/49F7utlNY71A0RfSL++B2Ewl5ys1VRAoJvknrhAxEOGkVpjyNpqPbA+WWM4r82iWcaQ/q88lGwmqmodQpRjLjW/Wmes60Q88wCxQ8TPWmrMScU1p3hv5Oori3XdO4g11nbzULNjiZu1i/EvxVIU2PrQykR1lc/zzQfmDI4OfsBBIcKoF6EvLMn9VBgJg1uGKUXuLcY8XAOgTvgMVAt7PW851DQTi3xdg9UEgSRbiIXLhdIbQ2H1ppwRck/BRuYYIitdwwQwXnJvkjPpcCqUG0lEFFoZlVz6BrVQbmArci9FhypS3+0f18Jb2SN1RpoKRRrRpKaIHFDuqebUEZtDR7PG+4UoWyn3oUYjNdJfwijc0hw4LKHKdoPcN5bbgkBV8i5kEqmHVaNyPxa591wqsoVNmfULzoAFAb6eW1fuoy9TaetHpDWSezmf+hf1S2oYoittox/Jvb5EveIAj3ZSkQWcIyxEb1xbHEUpIr3K4iqlhoqm/+hb+m8rGw+59yzzB4fY+BKpISBwyHpB7r1PvzGO4VTfMD24y07WbLIR6Ca5F+E1/0lxq5s5jDNvneVQR0pdY90JSeZJZJfZg2OsE+piw7xon8gdso3YM+PbPRxkjoM9NQQcUVhrVYgIruMUEGP8m7JPHGjXOAuihASyVmYNIYzER/zMH6Lm1jdOh/lbeg4cIv0uyX27LZDXjQeBnpF7g1C+XCfKvTQShJZKKaQVJp/YgG1Un6mpUlykQJhgTCLUZoQ+NkCOBsqMkHskXAqIBTlChK3SctpR7pVTjrWwvsEvHDjW2eERaqRKm0BYKPeUDMSVwkxVsQ+AshhmsgvVFL7IZRzlZbKMkwi0B2VYZMSmw8iP9xyhV7/znsb7XafeJrNmXxZUFmFZTloo6p5JnTbZC8nGlw07Ifdx9nqzozCj7voRRUgZEEVGARJO7YTcew4iKMpiIRE2loNv0hYxQkobyX18gIuzGkc0en8juecY2QQsohSKl/buJ3JvMeNUyo2nnlngRCzqG9v1D6o+pUt7IB36n74GI32IUse5FDGDs/Q84z5OKmqVqz4ecq9PExiUCf4sUtt6Re5FKtWd+peWCEwEAuMl981OyzHOEfv6uDaGzbFS66wlFPVWX6C3Vrg/0netV8aa08QiNdO4R9it2fEewoe0NkJekHk/IzLVTVSQk0FYMB+ru/+3a6IP3msPWjOTSkvcq3+nohm5hwmyH0YIimi3eTItEegmAj0j95Q3i3mrj1jJ97aoUenjPHJEUloOskmVE3aLsDUC1fgVO+TItQY3ldcEgKxRYKmnFM+xyD1CFzn3QZAp3Z7hyK/Y0BNliw1CiCdlAhmXb4fYUd2o7kg/xyN+FhvxlAW5QUzqefhRxsihRiyk+ow1AXmXzX7UdgqmPGaknlKMOJskhfrlB0s9QeijjupMGTWpIPnuEVaMVBx7CThJkfNNXTdpmrRMZtqF4oh4IpzeoX0iFcfETJkWYagfZxh1jbQgaoy2MvmHs+XUHxN9bDaliHB2OIzNHIV4JrLnWn1ntHP+EW/KeoSS3a8O6mPyt4BZEDiYFqhIy7GIIZr2FCB+JmdhWH0vzmjWJzlU6m8xk08pLE35UVd147TpW/Voivvgj8xycinTFjHOg39LbZGLiuBaMJVPGpf0pvpm3RmdHDpJyzF5WPgo8rEBPt5PhdcXmb6lf8JR3Y1RKTXGvw3dxov66++Rs+s+9ecMWQD1D6Q+xoRNxfYpcH5iU31j3d0fG5BFSqTfSPexwMI+vlCLzEt/Mn8Yg0L4xqB6MWOes2WscTwRCPORd9fTcmARaTmNx8x6judz/IxTc5v3w8n8Z2O8vTFpicBEIDAecm+MGCtjzcPK32xDrb6OxOv75kbj06EWImSi8hHBNQ+HOEQRH81abahtNhc0HoVJmLPOiJBaA5uVz/qpfHF6XONzrRdOqGs8z57oheP42zpiDrcOEC3C8APziHWS+JaWCHQTga6TewSQGieVIzZXIsoWRSeuCLdZ9KnEFjpkEmG0wFn0LPRUeAslcmmxlLKCGDR+Lt7gQBYQqPg8tYUbQfD3WOSYJ44oIU6UQQQVgbCQI1VIG3IgJGgjj4lAmdyHPLrOxjnkRd38Xp1s4kNyqbFINGKDEMunRRQ4I8iQesYJKhqVaiitB7GASf0M+WaNLmcdrhwpqr+wJ+UeviZhhBUZ1R4mQc/XFnBEjhDTeD8ChWhxdmCpLnIH4xhTGFNS5UGGcdw4Fp6HmJjkbNDl5LhfapU0ilamnMgWou1+Eymnx0THYbJAwFmZKPkmRxOx8Gtj/ibHhcKqToibzZru42A2fiNAXqhNrQi4/uNZnDV9wUTrPv2U4qQu6sRRRDQ5kxYleeLanYNFwae86m/aFlETjUDgndRiH4EIlmgP5wTRlIah/7rPosZZ4FDB1NhRF++Cg7Ehzz/aws85wdJX3KeNtU03Ps7VDrkXFeP0qY89IlJW1Bcu/sT3CURhhNap9saFCI++GGF1m8sQZosfPL1bPbQd4s8BpOBR5hEC2BlHyLz+q33qkaTGfia87xlwsfiaj2DLwdJO+oC5xTP0PWPcmPcOESWLuqgg7KWnceCMS2UxprW3MjscAB7mNP3GNfpA47n10rfMC4iNsqsnB4Kjpk3TEoGJQqBTcm/9jRPUrBXWmzgkolmZg9wbp9ZQFue6G3eIrzx0z7Xu1r9CywGwP8z6aE4ezWxqRZjH2pBqXvLe2INnDrIWK1us0eZlc4U/yme8+x0Ho1kUHW9QPtwhRLMoq/KYyzn55j/zuTU0otGu4yQRHIh/dR4wUX0g3zPYCHSd3FOzdVaExyLIG/YzgwWJoTbq6AhVhOAtkkhtfIlOp+fxxmeskZtGYq9Z/N7iTL2MkB8SwSM3cYxFji3YFEEKMVXWAItcP4TCJINQmKiQSz8LhyT2Brieuo/0m7wMeIPaRIjYICIcHp67jTWRg4doK7PJKcx7pKAguq3yExu7o3AkQq8ciIgJCX4wQW5ig6CQv6iBDa/UaOokhySMg0CJRtZMfIgXBZnFM+xtQEZgBd/6hOR+P6dmNt4/2hCCl/LrI8pLyYiJEm7In3aGFXz0A8SqURnllHEkECXXwpdZiJptnnI9R0Kfs7hwANyv3kiZ31lgRBOUzWLGYQmnQv+m/OtrHB4KlLKZrCN6AW8RE/XRl6SnxFn3HBBk07O1hT5obNSdESo+Im0jN6Jp8dHO+pcxFB/O0if1r2ZnQnc6fbVD7o0F7zceYK1u8SG2eJ/6aM+68uYaDp06wFG9ox05QvqmOnkep4bDEHOCRTZSn+Ls/1ZHxEYZ4Km/wk40RkTHyTbaSftZ7L03Tu/xfO9UL9grB8dTxEQkTL/wTn3Dtf5oP+F4eziMdc/2M32j8QNb3kM0sGnYsz3POI+TlTptq7w+ERgvAp2Se6KJcWGt5rxb14lbrczv7Wmilkf023xuTrRZ1lgwxq2jzT66R5jiMNfTWJq9i1hApHH9aEYI8b66ExEnbllvzQvmBLyjXj7zeX2drL/D+m7uracQ139vPSUImQ+sQ/WDFlxHGLMHy9rZ6ByMt13zvkQgEOg6uU9ox48A0mTCpGZ08pXL8b8x70wEpkWgHXKfmCUCiUB/I9ApuZ/o2hKKiEtS+EY7FGOiy9Wt93F+CAAcizgBsFvPzuckAhBIcj/J/YDSTZ2gxkpFogKOdgLIJBc3Xz/gCCS5H/AGzuolAv//RwinOrnXSFR0EUKpjXFM9aA0nvQgUWnpgWmJQC8QSHLfC1TbfKaUD/m5Qp7MR41sxkxLBCYLgST3k4V8vjcRmDgE+oHcQ0O6mzQg6XHxsbiJQ6n7b1IXh3BI7at/ZKv7b8onDjsCSe4nuQfIOXeSivzkODVokouUrx9iBJLcD3HjZ9WHBoF+IfcaxP4k+5/a/fDUVG5EH0KU01//Uu1ULm+WrX8RSHLfv22XJU8Euo5AkvuuQ5oPTASmHAL9RO6nHHhZoESgDxBIct8HjZRFTAQmCoEk9xOFdL4nEZg8BJLcTx72+eZEYCIQ6Dm5j2MUJ6Iy+Y5EIBGYMQSS3M8Yfnl3ItAPCCS574dWyjImAuNHoCfk3nmxPohkt7uPWKRNXQS01amnnlpyGn1Yp9fG2XNeu/PFfVirHQsH0RnozsS3N8GZxTNqnquP+iaBjc2NH8aa0ed3cr/z7K+88spyBKqPQrUyH2DycTTHxDV+FbaT97W6Nsl9N1DMZyQCUxuBJPdTu32ydInAjCLQdXKPpJx44omFMDJfiEybugj4MqePCfl6rg/+9NJsJvL1T5/s9uEPDmC75uuhvkTowyDIuI8Szaj52JYvlx5yyCHla7E+MjYZ5mMtJ598cvlQkq8rn3DCCS2LwSnyISXHw/mSbrctyX23Ec3nJQJTD4Ek91OvTbJEiUA3Eeg6uY/C+fqiL0n6EmhaIhAI+KLf2muvXSIFFPxO7Bvf+Eb58McNN9xQvtraz8YB9vXDqIcj0nz98aMf/Wj5suNkWZL7yUI+35sITBwCSe4nDut8UyIwGQj0jNxTgmeeeeYk95PRqlP4nb48KJ3ER0k6Jffnnntu9YEPfKDvyb10IOPjmmuuqZZeeumR1pppppmS3E/hvptFSwQGBYEk94PSklmPRKA5AlOW3DfbiOtnDAmaCBvPZuDx3DMRdWnnHRNRdp/dXmWVVcal3J9//vnVe9/73ur6669vKy1nIuozGq6t3n/AAQeUz6pLYVtggQXGTe57Ub9U7tsZKXlNItDfCCS57+/2y9InAmMh0FNyLy0HgZEbLKVi/fXXL/nE0g/CLr744urggw+u/vKXvxTSd+SRR44QN+ru/PPPXy6V3vPUU0+Vf++4447V1VdfXTYfqoA0D3bssceWfP9nn322Ouigg0p+dzMC9KMf/aj64Ac/WO7xTJsTv/SlL1WIp02lNlnK7ZYjzqRMHHrooaUOnve+972v2n///QtBlTdOTfbzBRdcsKix6rzGGmuUn8ktlyve6gMc7j/88MNLvW0Y9W+bkDfddNPixMBHTjh81PuII44o9Q5TRvhdcMEF1ayzzlrtuuuu1cc+9rFqttlmG7nGV2+POuqoUh/k2DNcyx577LHquOOOK+92HWxg4Ou58FhttdUKxrPPPnu1wQYbVLfddlu15JJLFvy9wzMPPPDA6qKLLiobUk866aTSznW78MILK6TR/ovNN9+88ultpHYs5d71u+++e9kL4CNfG264YWnjW265pbr22mtLPbWBZ++8884lb/41r3lN6TP6xDnnnFP6gusPO+ywgo0NxPLstbe9Bpdeemkpv2vU5+mnn64uv/zygpdy+8iYVBlpZtJlVlxxxWnqpt424yrrnHPOWT7rDlPv9+n0uulH2tL+AQYvZdXGyy67bGnv/fbbr9p3331LG8B67733LhiIgrH77ruvtPe6665b+jdTJ2XQTksttVS16qqrlnb2d6eW5L5TxPL6RKD/EEhy339tliVOBDpBoKfk/rnnnivECzH1Vbavf/3r06QdnHfeeYVw3XzzzdUSSyxRbbHFFtWdd95Zfe973ysE0r99dhpBc0pInbCut956hVQjMUjoOuusU0glcozUvfvd7y5EqdknnpFu1/mDRPsUtMmOPfHEE4XsI3LI0YMPPljSSPbcc89Csu6+++5q6623LkTM5kYOCEKIrCJ3Dz30UHkOcqxMnmcD6GKLLTZdu1CglcEpKXvttVc1yyyzVKeddlr1/ve/v5BYJB/5R0C91ybSTTbZpJBwDhJCuc0221TvfOc7S9kQc7ggvQgs4+Q8/vjj1emnn1794he/KGVyPRKObPq9jZy+mBcbXM8666zSLognwhzGEUIod9lll5IvbjPu29/+9lJ2mNjkiXhecsklBVfmvdrgiiuuKG1qwyhirRxIfit79NFHi7OnHWGEcG+55ZYFbyfmyFX/1a9+VS2zzDKlrhxIbQgn/eDVr351wcNmVUT55z//eTmdR84/Mq3cCDJnUDuoG/y9R1urtz7gdxy0T37yk9VLX/rS4gSFYxRtpL96Hwzvueee6sYbbyxlb2Xqw9ngOCy++OIjl+lTm222WUnZ8U7OAYw4MpxF/Q2W0pOUh6PAtAWnicOpnpwwUQ5jp1NLct8pYnl9ItB/CCS57782yxInAp0g0FNyj+AiYKG+O76Qsui0FAQJ+UDMr7rqqvJ/JMkxh0jmWmutVeqBaCLxv/71rws5ZIgfchanu1DVOQ9f/epXR+qOXFE+ESJqbjN729veVkic9y+00ELlEsTRH8qt01SQRoQNQQ+77LLLCgnbfvvtiyPB5p133qJuB7n3M+kXlF31akbuXXPdddcVQo5kI1YiBggsksapkKMehmxScpUPdkiriEYoxJwg5NqpLx/+8Ier22+/vVyDIAYhRQ6RQEQfGdVGiKNoQP30GuQcseVgReoIHJyChNQyijblHKlnnoWUIqfK+Lvf/a6c7MI5QaSZqIZ66ROjKfccGcq2KEqY9yC1MEPuORfLLbdctc8++5Q6WbCo2BwHjlY4D56hX+20006l/PqP38Pky1/+coniIPfaj2kLDgNHKyI83iuVRsSC0/fMM88UZ5Ozw1Fi+htMlTPK06zf6a+eZ2zU+yZyz8GN9lROEQMn6XC2/P7+++8vZJ6TRK0XJRBN+OY3v1mwZkcffXRxLkQmOrUk950iltcnAv2HQJL7/muzLHEi0AkCPSX3jRtqV1999XKCDnU0NlQihEiIdBbpCog2MoxwMqQd+aXQBsGWVoIgInEIrfs5Ccg/VR5p40Agf5RZRKiZIavI6BlnnFHtsMMO5RkInBSJrbbaqijeK6ywQknDobZGaoRnIaeUb0oxx2CeeeYpRLdO7inoogKjkXtkkdJMvUdAw5BKCjO12nsQO0ovwo08chxM0M48b3VePHUY8ZTOwjzjrrvuqm699daSBsQR4DzATySgTu45RUijlJUg77BBbON8dUo3ovnKV76yOEIiNeohVYdCjpQef/zxhWTHufScF/ePdloOxwa5R8RFCcIi5z5Oy+HYIPdwDjLt3RyJueeee4Tc6wucMY5Y4xny8OEI1ck93LS3FBgRJaYfcfS0pTpzNjmqohbSmpjy2CDrumifTsk95y2cJ9Eq/VPd1FF733HHHaW9RBeQe6bfcOT832lC+jH8w2HtZEJIct8JWnltItCfCCS57892y1InAu0iMKHkHjGkECPpyD2jwlJeKZaIPsWc0hrk3jUUYiRRigx1FcmUkkB9DbIofYPajNgwk5c/lM9WHyfiGFBeqesUZYRImg81l1qNXMmV50xQc+vkHulG9BBHZHVGyb3niCSESbfhXJx99tmljkHO1YljwemhEiPQrT4+hShS3qXBwDaegeRLMfGnFbl3rTaBOcLOYeLw1JV0z+EYyS+P58NIGyC52jDOpY8z5Ns5LYfyzKmQLqQ9whpPy+mU3Hse8lu3ZuQewdXmdWVd/0PYRSSib6r/dtttV9Jk1PvPf/5z6TciO9KnWtloyn39KMyHH364kHtYIPfe14zcw5hDwCmZb775Sjqa68ez4TbJfbtTZ16XCPQvAknu+7ftsuSJQDsITCq5P+aYY4paj+DLPZZasO2225Z0jTq5pzZLM6C+ykdHeqTqIDvSMCiZVGZpFHVDbijKdVLeCAq1WooL9ZXSKdUHkWOUf2SNqg+oSG3xO6QO0aP+S0PpNrl/xzveUYi0/QqNdVJvZUPy5c/by1A35FqdOU2w5UxJGwqr4zIauZfrLT1Kmog8chEU+dxhysEZ4/jUDdEXoXnjG99Y9iN4P3WftUPupawgwDC3iXiqkntODyeMM8jxQcw5XTbihvPabBB2k9zX29K40OY2fnN+4dipJbnvFLG8PhHoPwSS3Pdfm2WJE4FOEOgZuaFQH0kAACAASURBVKcgmkDqH7Fy8grlXlqOfGUEVMoBpZZJu6DAI5Urr7zyyCZXv0OekExKu1QIGxjDEGGExh+KunQRpN7GTv8eTUVFhOXvS4+RboHYx7Mp+Ui8NBAKeOwd8F4pQBwS6j1zmov0GWo/Q3Cl1kij8exWp+VwJjgXCPBGG200UifOBqKGbFFhgyy6DobuoYYj0ZyiOMVFesmZZ55ZcrSRfilFIh3KwgFhcFFvmFJ9kXYRkcYceM+i3kt1kbbT+HupUnLPpbtwvrQnZ8veACo3x83f2hWOLD5ipf21czOzwVqUR0qUvQFh2pej5WQbUQuOjzxzdQwii+By9uAdUQb9TR8QBXF/3UQ1pG1xQmLDdmx45bhJvWFOedJXtaX0MiaqYQBJYZKOJT2GoyPlaDSTPiMtSv68fhPOEGepnuajLy2//PIlfUpf8Hv9UP2kYvm5a2JcxDulHtmsHkfHdjIhJLnvBK28NhHoTwSS3Pdnu2WpE4F2EegZuZfygexRmMMQJSTVKSZIN0KJlNq8KL9ZGoQ0CQRDHnpsqnW/dAQpCtI0pFfUDdmj9Mv5pqQ6khLxQm4Q3zgJpxUoCDZihgA2Hl+I0CK/fi8HHslFZqXCiChEuonUCU6KE27kgVNwkVdHVMpZt5mzWXqQlCDOBfIo9ztSKZBuzpB3IPL2ASCzHAh59pRwZUXQkWDpJsip8iKwTk+xIROOyCfF3TOkHyHryhVpTciq9yKOjRYbTp12E7n7cQ3lmkMCbxipn2eoDycM0Zb/jtBzmlyDcCOwUo6kr2h/qVON5mhLnRPx5txwGqSdxNGTCCxirD94ps3UsEGyvQtW2ss7pQ5xbjgACHHd4oQfKTUcUgZLJxL97Gc/GzmWlRJuM7L3iyAxDo0+al8Agq4/y/XX90ezUO69Wzvqd5wkUSL9SqoV01YcSI6aNmf2S0gD49DoMzbUagP3RZTD/zkCnJpOLcl9p4jl9YlA/yGQ5L7/2ixLnAh0gkDXyT2Vm5IeRyg6DQRRQ0TiZ8ioNA/qovQaZEiKDoLueuSK+ltPJVEphMafZqeAIJXUzFBrEWXkCYFtx6TWUOEbzzF3L5JOabUxFJFFmOU1x+k9rqGgIpzINQeDk0Ix53goByWaQ1O32LgZP/Num0nDkGPXINgMYZdbHZs8OTNOopEOgtQiu64X/YgPfTmxRtnjGZR42Dq9xz3hnHg+JV7562Sbk8JxibPuG7FEIKnKHDMRBQ4OIh3qtXZB0GHHufAszhxHDZHk8DVLm0J24SftR3QC3solFx75RWC9Q9twJkSIbGRFtPUfz/de0YuIDCm739moy0njNEV/8X+bZjmeFH4mDcvzYAjnsNikzXGBl+vUQTn90Uc4PgsvvHDTrmczLqcAMfdc0Qn15MAw5F2d7JnQxowTx0GMI0b9zDOU114Nzq9IC+dZvfSTsZyMZoVLct/ObJHXJAL9jUCS+/5uvyx9IjAWAl0n92O9cCr+3hGGSKdNrWmJQLsIGDwcjHCKpIIh+tKQKO7So/rNktz3W4tleROBzhFIct85ZnlHItBPCAwtuZdjTR2WSiKdQbShMe2knxoyyzqxCMjVl6IjB7/ROIs21Yoy9Jv1gtyP59SeicZNCpvIon014zlCdKLLm+9LBGYEgX4i96KyosKxZ2xG6j3Z9+Id0i1F2dMSgV4iMLTk3ikz8r4pr9Jl5NFLqUhLBNpBAAl0lCoybFOvvuP/NslKu5EiJj2n36wdcm9xcgqTlCBpQ9KfpEGNZlKjpK7ZfyG9SqraWHtheoVdOBvxt70V0pikUkkFk/40WWYfilQ32NjbUf/2xWSVKd87eAiMh9wjpvYiSRFstk8KSg49sD/LgQ2OSJYGiZg3mj1fDoeQumgPVqsUQmmTyL0UyPqhFNI8pfWKlEpBFTWV2lhPw5XmiOCYk11jrpKyqPyt5h6n59mnF0dqR7nd79srcTSzNEgCjz1W9nG1Oh1NPe2di/RXe+mMb3vCWn1/Z/B6W9ZoMhAYWnJvkMqttpnRII2jGiejEfKd/YcAomrjrgH017/+tSwecuCdCiRfPr7q2281a4fci3hZOHffffeyMVvUy96G2OfRWOf4WJzF1bizGDqRqtX1E4GZk48QecbhEIWJOcGelckw2NuLJKWL2ICA2Itkz1JaItBNBDoh98YHIm2vkT1hPtzoOyZ14ygTNOwTM74RevvOzI3SE+vk1z470U17p5Bpc6gIaKMYYv+e+cVhBo2qPWfAnqUwxy7fdNNN05TJUdX1o5v9knPSeGJa/SZHbTce2BG/j2/KOPzD/kB4cGRE/XysstHspTrrrLPKQQ51pwNWxrXy23+Wlgj0AoGhJfe9ADOfmQj0OwLtkPuooxOKbHBnNme3Ou7VRmfKuAUeSagf+ToZePnWAsWtflSoI2st2Bz+ySD3vj6N0MdXhyl8VE1lgpnypiUC3UKgE3If7xRVEk1qRu4dnKCvIuT2IMWcQPAgnsUHGk855ZQiClDj42hpx147kIBjG+bkM8daI/b1U/P83vMo9Q7NaGWEBIdLbL/99uX0unbs3nvvLY6I59bnMkKG9F2Oir9h4JAFDoqT6Jya5mAFh2aEEUDMew6XcJxxoymfwxFELTbeeON2ipfXJAIdIZDkviO48uJEYLAR6ITcU7udPHTNNdeUj881U7yQVkeZOiqUSnfVVVeVj5tNpllwnR41lcg9NdDpW/X9CUiQFC9Hus4111yTCVm+e8AQGA+5dwyvFETHMweBD1iktDktjpPsxDsmfc9RxEh2pMEixlT4+uljp59+ejmVTJpOEF0nvOn33lm3J554opSBAm+8OOWumTlFTSSBY7zoootO8wHKVk3pOGSkvDGKL0KrLNIQmQiDb+LYV0W1d+IbJ8TpZmGUeUdTt3JAjHNOivJJ0xnto4cD1vWyOhOEQJL7CQI6X5MI9AMCnZB7pwL5noSFz6JO+ap/XE59fRvAYmkxtuAKY9cVLtc4pcoCJ6fXookI+GYAo3BRx+TBWqyF72+//faiiiEJ8bE633ywQAq5x0fGGvF2VKhNzqIInA259Rb+fffdt7yD8mjBtn9AeamHUnXqyhvV/9xzzy31dXwqddFG/EgxciQsXEQ01MERwN4l3B+kp51+QLmXZ+wUL45TWiLQTQTGQ+7lmcs7N1Yayb0jk6WTSdHzXRF9X1qMDwIisJRwaSrGvu981L834nmOgfY9D8q+cUohdw3HoG7GqvHL5LJT5jkG9bx+c4Y9AcaqOYKD4bjoddZZZ1wQmtMcHy2F1xzlGGn7CcwV1HzjWsSNCs+Mf4KHsT+a+Vgj1d/fohdpiUA3EUhy300081mJQJ8j0Am5t2hbQClUyCtiHd8IAIOFz0LumfLGLXh1cm8DMsJuMUa05aBaJG1OppLZLEfN840DCrYvHvsWhWdIYbGwU7elryDZFlvOhL+bhbptkqP8+U4FouF0HMQbKYm0HAQDUY+cYWRE3i+1Tl3lC0snsBlOJAJpQGbUXf2QEQ6IXFtlRAyE+uXccoTUaTTjrPioHhJjM636pCUC3UZgvOR+pZVWKukojeSeEk1tN94p6sYqB1lOeXyXRb/2jRpjI9L51IsogCDLjxfZM4dwqkUGt95662mqTl23AV7uP/Ls/0i7DbYR9TLOOdmuESGwydc3c+yzIQp0Yp6jXMZumMgB/JByv4eJd4hK+L+Nvcb8WAd0SO0xF3EaOA9piUA3EUhy300081mJQJ8j0Cm5R+CFnqnY1DYLeGy2c9IFJS4WvkZyL4eX2uW6CIVT+3yszcZkJIAddNBBhSRIpeEEWLQtqBZ/i6jIAdKMuDsJw6LJGWj2cTTPEx1w2k+ztBx18TVgi7doglxhqQHeF1/JlleM9HNG5M0i8MrKKUBonBDC6RB2Z/7mDKivhXw0QwyE+L3f89Sbc5OWCHQTgW6Te2UznvRfJF96C0cceQ0zzp1WY6+OMRJmw705IzbFUuKNaxG6xo27dQw42+YDzrwvw0v/a2bmHXOKyJ4o4Vgne9WfIdJnf0CMZb8jDFDcORQiihwI+xBsPObsm9Pk+YtU2r8jZ9/mW1GNunFMOASwEr1ISwS6iUCS+26i2cVnSQmwScnEgrhIH5Dbl5YI9BKBTsm9I9323HPPoqJR4Q844ICREyCC5Ep3sYg1knuKGNVfGDvScNRNWg0CHZt0PdPJNg888EAJiYch1vPNN19R8Kn/VHjlQCqQ+/oXpOuYjUbunfojLYgFmbdIq4OTQBBt+bRO63A6h4iE31HvkXEOh9OSwgHwHASAAinS0bjAN2tLdfE8Kih8KYTUwrREoFsI9ILcc6pFq0S9OPX2kcinR8CNjbHIvXFpjnAGvLHm/voX1JvV3TrJKZAWJJWtlVH7pb4cd9xxI+kzY2GJdJu3iAu+Gl435ZQyJ2roFB3CxmmnnVYu4ZzIxfdFdgQL0VcnYkH9MAEpPuaaSy65ZBqhYaxy5e8TgXYQSHLfDkoTfI1JitJnUjABCP87q9eGHcpAWiLQKwTGS+4RUguYHFeLuKNCpbhId2HNyL0FH9mleiP5YRZHpIAit8022xSHAblvzOmXpyuXlzMgFO958RyLZqvjbUcj9/XTciIXmMpfz+OnKtpU6H1USOq+idT/lVmOPFUvcnyD8HNiRCTatTjKDxZ5HGa7qOV17SDQbXJvnZIaJz3Pxlob6Tm5omyIsDEXaTmNx1Ei8aJf9q5IuZOig6xz0Ns5opoqbl3kCEu/aWaiCp4vnUjOfquoXv1earx1mFNORBjNRB+k1vjDuRFlFMFwApA0PpE/f6tfGKXfPEX5r0cR22m/vCYRGAuBJPdjITQJvxcKpBY6gSDMRibKiJ+PFqqchOLmKwcIgfGSexBY2Digznz2kSqhchvPWpF7C6wcXGk79XOsbaRzv/D36173upbknjLGaYjz6ttthvGSex+942xQ0S36cmoReWQE4e82uZfyRDEUGeEopSUC3UKg2+Seg27dEs2KD1whvKJrUmLk4MvVtwmWEi71LEykzf4SP3MmvBx9UTuCFmV8LONIe89oyj3nX9qOvTPt5t07/cuzRSFG2ytD2BA9sNcmPsZlHuXUEwacdGVzvDQiR2bGmfdJ7sdq2fz9jCCQ5H5G0OvRvdIZbOIzwcVEGecDSzsY7XzfHhUpHzskCMwIuRdKl4suVC595pZbbhlBrZlyLz+es2rBqzus1HwLfnykJpT7xlQbpIG6TuGWghMn1kitkRMbG/kam65O7mMTXrNz7huVe6q+ULxrpQsIvcuhV/bRyL09AZyCTpX7Rx55pKQcIUacnLREoFsIjIfcy4GnQPu7cUOtXHtkmFJdd9R32223sn9Ezrrcc84wkmvch1G4naojDVXq6R577FFSXBBj47huNpw3fl2WGCCtL07gMab9qV8nxcYRuBzlOIrXNZ7XTMWX4keoiNO7RsPdfGWOgk0YR8d4VwffqBDFMz9xFsKefPLJEu3glNTnym61cT5nuBHoCbk3kKjMBoiFT2jOgOY1U7liEbZ4C78hAo6/Ep4zuOMDEjacCH8jC0L+jUfJGZzUAadeMN61wcojNinwoqUHWCSpbXa8ewdPWki/PqiVxU53m/L83vF38uiYeiiL98jbkwcvRcAkRj2spxS4Xp2USz3V2URI5TPxqaefqxNV0yYfCoV7TEbqjzRQMUxw8aXTo48+uuTgCnE2TnjD3YWz9t1EoBNybzEVBneyS4wTOekU/Hpait9Rrqh6FL7IO4882B133LF87XeOOeYo84ZxITcWIWYW5Pg6pnEbFhteqXvUQOPMM73HwtrKgtxzRqQPUBM5CE7YQdKlFjALLiIQGwPV1wZXObLKIbJg85w5wPiUQoDIOwmkvpmQs4Gkm2zVtZkhTCIDUvHMW9RA6ThSA0RAGueYbrZ5Pmv4EOiE3IcDbEyLJHFujZn6Nxk4wgiscRt93HrrdCmbSmNMSUvZYostyhjlsFpLRaUp75GzHqlt9f0vWsi5+eYBm3QRaeuoze7Gh42ywSso5vapIPPWX2u7ucJYimM0PU8ZzFWIeOP+HHxFVFHKTOOXc+u9xZjmtDSmyyqXPUXea71G8IlynKAwa766IPj28aQlAt1EoOvkHjF1DrRBY6ESbqM86cjULkfFGfzIsZ9bTIXJEGjhdfl67hfi8oEcZNqCjRhTzerhaYutAWqxFvKzcY3SbSG1uY9T4R0IO8/aJjf5wBZ0m2Aij9UkZNMPB0JunbQCz6GeC6E5nku5ORoUdN64/EEE3lF1cZqFyc6GIpMgB4VTYaIRDnRNnPqhAakTnukjHMqlLshCTAb1RuawKJsv9clXTEsEeoVAO+TeuLIYWYSNE/noyDRn2fhCSi3MTGqZScZYYgiw8WmRsxgjw1Q7z7HA6uvmDaoZR1ikSpkcm8nhthBT/Jk5w/xB+QsH35nWxvZoZ8oru/HoGvOU+siRNS8YZ56HSKgDgu+oTOUQCTCfmS/UAfE31p2xf9JJJxUH3ph2L+IisuBvR/Bx4Dnq6orwzDLLLNM0oTkQSXGSB0dIDjJlz6k7Eb3rVZvnc4cPgU7IPXREk20wt0YRoPTRIOOBnv0n/hDFIvXEGLFm14U0Y8U6R0TTx1dYYYUiXDlxK4xQx6m3fodxxuub1Y116zXOECKYa0XYOBPGGOJsPjHvOF4zHABrNX5hfDU7xcp4xyfMZ60M9xCtUMZmzre5wNpu7iIEmhfrewLMO+ZOkcsU7IZvDPa6xl0n9xZcJNgJEgYeT5mXz7O3U5ySH94wckxRR3QNbt6uzm+gIuwGVpwQYzOMwURhc49BQ+FzqoSJR06dhdfkwzGgrFlkLawGO5LteuVzcoV3R9ifR23CiU0tsQEuNv64B7H2bMqB+02OJhrPoEaoK/UN8UAKTGrUeRvoRAs4KCYWRIVDoGz1CYlyYdEPtbLe8I7mMxnCrZEU9LqD5POHC4F2yD1VC5m2YBszFi8kVv+mOOv3sbjLGxc902/93jj1b+TV/91PEBAZ82/jf6GFFiqgu9Z7bNYz3oxDRLc+btxjLCmTa6hs8e5WLSey6LmuR9wJD96hPt5BOXcNRQ5h9zOb4TjilEblpcSJGKifOUD0Mf7tnqinsvi9Z/sZQuO+IBlRRu9SD+91reebU8Y6K3u4emfWtlsIdEruiWf6ZfRj467+cbcoV4wPv0fyjeXGNBrXSjkVqTI+iH6NqTHINYfbmlsn5MaecWYsIczGZeO9fscBJw6Ya4zbeqpQlNXvOQxOoqt/BMvv1cN7Pb+VSacx37XaxGteFIn0t3fUv0IbzgVhgMBRPy2sW22czxluBLpO7sFpkULKec31j9rwlOXgRbjNgm6hpuohymH77LNP2fnuXgODFx9nRSMfPGJqAJXAR2548Mz/KfA8YR6xRZna731SbmJweRcCH2Seoo6gx6euPZPqpryex6QSUPA5BbFznvpncArBW9wRexOZZ7cyRN9Zv9QGoXyGXHBePLvREANlEM2oKxvD3W2z9r1CoB1y36t353MTgURgYhDolNxPTKn+31us3fbp2LhO+Bo0I4D48J36Sf9JSwS6jUBPyb3cunoaSXyiGuEWXueFI/dOy6h/Yh1JllvO64/NMcJevFs5ar5iKfdVKouQmqPoGCdBvqujI6n7Qe4RY+Q+FL06ua/nDboPwZdiIK8wPppTJ/fy9kI5lG4jhSfIPXVAnePjO60aS54uNV4aAOWQk2AjYt3BiXtFLzglGbbrdtfP5zVDIMl99otEYPARmOrkXguI9iMoxLd6tK7fWwcvwYtENNUtLRHoBQITSu6p8VRvuaWhzjcj9zx2ITEb11qZgWFzj/QbzgGT9sMBQM6F49oh9+6zS19akNCZaAO1HNFuptyPRu6V2f2U+2ahyKiLyIa0BISd8u9dytwYOuR4RP6+69MSgV4jkOS+1wjn8xOByUegH8g9lKS6xhGarU6/mnw02y8BbmFNl87TyTcv2n9DXpkI/C8CPSX3FHipMmG+MGnDmp3t1PZIy2lU7uMjNnHOddxvsx2lPDbU8ewdRSdfTp6d9Bz57HLsWDvk3jXUdqZcTF4/R6FTck9953RQ2+tk3KZCZauflcuZsIHYRyykMNnw2+xILvWKT9Fnp00Eeo1AkvteI5zPTwQmH4F+IfeQsumWWDcIeenSjO2vaZWnP/k9I0swKAj0jNzbOOuPU27CnBRBqZa7joBTsKXeNH6W3Uk01Htk3m50jgDV3wcueLvy022GQZjlytcHSj3NBnFHmiPnPtJybFq1icW1Nrwg8jb/xNc0pdU40SfIvYnQe6Xf1JV7RwBGWo70GnXjeDj6y6k6Uonk0duEa0d9PWfexjnlkXKD/MfZu/WOZZOfDcNSjDgOjZvwBqUTZj2mDgJJ7qdOW2RJEoFeIdBP5L5XGORzE4FBRqBn5N6Z0yYQ5786pcbxkUi2PHabXaXCIMCIL/Iuf94JO2Fy0RBb6j5zaoTNJ46uY/FhGGfJSvXhCHhnfDBCuo4cfATcznnvla/vSDrPkYNP5aecO/rOsV5O9XEsF4VAuRxnKb/fbn4OBWU9juv0HJt6kX0qvBN3OAj+duQVx4EiL6oA5Gbk3UlCjtvioDjju9GcCAQrjgas8qScQR6KU6NuSe6nRjtkKRKBXiKQ5L6X6OazE4HJR6Bn5B6xRbwRYJtjHS9H1ZbXzhBvR2ZSr6nwcu99dIKF+u5DFJR/oSz56Y6jDLPb3M8QcufYO7qKUu8DVv7vC3gIOsKNlAvtIejOlhUWkyJDGXd8piO9nE/vaC5l9oEMzkBs4JUP732Uc88WVaDiI9ue7T4bedWZk+G0HaQfYff8xg9kRB28wxF+9h80M+/UQOrN6UjlfvIHzKCXIMn9oLdw1i8RqIrwZq1KSwQSgcFEoKfkvvG0nG5C6CM3lHg590g6Iswo5X4nb186y1Q2G4R8JKfZGbxTudxZtsFFIMn94LZt1iwRCASS3GdfSAQGG4GekHubSn390VnxFPFuG1XeF/Kcg++8+LoC4cMScvsdtVn/aES3yzCe54lQiAKIYDirX1RBWdMSgamCQJL7qdISWY5EoHcIJLnvHbb55ERgKiDQdXLv63G+9oq8+uSzzanyxpt9nnm8ANiI6wMQctLl2du4K2VF6s8jjzxSOX9+Kqr2seFWve0JkCKUlghMJQSS3E+l1siyJAK9QSDJfW9wzacmAlMFga6Te2fSUqep0o5xlHeOiPfi6Cd573fccUdFrec8yJ1fc801y6baqWjy/kUbYONs+246PFOxvlmm/kMgyX3/tVmWOBHoFIEk950iltcnAv2FQNfJfX9VP0ubCCQCdQSS3Gd/SAQGH4Ek94PfxlnD4UYgyf1wt3/WPhGYBoEk99khEoHBRyDJ/eC3cdZwuBFIcj/c7Z+1TwSS3GcfSASGDIEk90PW4FndoUMgyf3QNXlWOBFojUAq99k7EoHBRyDJ/eC3cdZwuBFIcj/c7Z+1TwRSuc8+kAgMGQJJ7oeswbO6Q4dAkvuha/KscCKQyn32gURgmBFIcj/MrZ91HwYEktwPQytnHROBNhHItJw2gcrLEoE+RiDJfR83XhY9EWgDgST3bYCUlyQCw4JAkvthaems5zAjkOR+mFs/6z4MCCS5H4ZWzjomAm0ikOS+TaDyskSgjxFIct/HjZdFTwTaQCDJfRsg5SWJwLAgkOR+WFo66znMCCS5H+bWz7oPAwJJ7oehlbOOiUCbCCS5bxOovCwR6GMEktz3ceNl0ROBNhBIct8GSHlJIjAsCCS5H5aWznoOMwJJ7oe59bPuw4BAkvthaOWsYyLQJgJJ7tsEKi9LBPoYgST3fdx4WfREoA0Ekty3AVJekggMCwJJ7oelpbOew4xAkvthbv2s+zAg0DG5/8AHPlBdfvnlw4BN1jERGDoEPvnJT1Zrrrlm9eY3v3no6p4VTgSGBYEk98PS0lnPYUXgq1/9avXss89WO++883QQzPT8888/X//pI488Ui2zzDLVDjvsUD333HPDilnWOxEYSAQs+DfddFM1//zzV4sssshA1jErlQgMOwIvfOELqy9+8YvVXnvtVf3rX/8adjiy/onAwCEw00wzVb/4xS+q3XffvXrPe94zNrn/85//XG266abVWWedVT399NMDB0hWKBEYZgRe8IIXVF/60peqFVZYoVp99dWrBt9+mKHJuicCA4PAXHPNVS299NLVPffcUz355JMDU6+sSCKQCPwvAoS6iy++uHrVq15V7bjjjmOT+z/96U/V+973vurKK69MDBOBRGAAEcic+wFs1KxSItCAQKblZJdIBAYbgY5z7pPcD3aHyNoNNwJJ7oe7/bP2w4FAkvvhaOes5fAikOR+eNs+a54ITIdAkvvsFInA4COQ5H7w2zhrONwIJLkf7vbP2k9xBOS92xwzUZbkfqKQzvckApOHQJL7ycM+35wITAQCPSH3//3vf6crO4JSJyk28nz2s5+tTjzxxHLyzumnn15O4Rlm22effcp+hu9973vVQgstNOFQaLdf/vKX1S677FIdeeSR1YYbbjjhZWj1wscff7yc8GAT2Je//OVqjjnmmDJl63ZB1NG4uOSSS6rf/e533X78qM/rN3LfbK6pV7Bx3plQMPv4ZT/5yU+qT3ziE5W/N9544+orX/lK9fKXv3xK1MipbZ///OfLkcw/+tGPqnnnnXdKlKufCjEj5J7g4I9nNFp9PI419n7/+99X1157bbXVVltVs80228ijRnu+i+L3cUOzcrRqi3bKF9eMVf668OKeiy66qFpsscWqN77xjf3UFbKsA4pA18m9AbvHHnuUReHvf/97gc2icMABB1TIa9hSSy1Vfe5zn6u22GKL6l3veld13nnnlXvWXnvtAYV67Godf/zx1Y033lhI7Mte9rKxb+jyFRbKww8/vCyYWaC2pgAAIABJREFUFs6NNtqoy28Y3+P0qZNPPrk6+uijq0022aT6xje+Uc0+++zje9gUv+vBBx+szj333DJeXvOa11S/+tWvZrjEnrnwwgu3FQHoJ3J/7733VmussUb16KOPFow4fJxii72557WvfW214IILVr7Nsdpqq1WzzjrrDGM5FR/AAVx00UW7VrQLL7yw0g/uvPPO6oorrqi23Xbb6hWveEXHffGZZ54p7dDNueyJJ54oc9P73//+chLEddddV80zzzxdq/uwPGhGyP1uu+1WnXrqqdOdpnXVVVcVwe6nP/1pOV/7wAMPrPbff/9q7rnnng7Wq6++uogXnDSndDEn8N1///3llI8vfOEL1WOPPTbdfdrf+vi1r32tuu+++yo84oQTTqje+ta3jtl0+jLOcc0115TyHXzwwdV+++03TfkuvfTS6lOf+lTlZMBVV1211NPpQo2GyP/gBz+oTjrppJFf/fvf/y7j5vWvf321zTbbjFmevCAR6CUCXSf3UVgEcb311iuL7/e///3qRS960Ug9vv71r1fbb7/9yORgATBIdtpppymjDvUS9Kn8bBPzuuuuW333u9+dMuQ+8Fp55ZVL/zCxDiq5j7oaL6985StLpGJGDMEyrs4888xqlllmGfNR/UTuozLbbbdddcEFF5Qjem34D6JgEVef66+/vkJIOIiDZs4pV2fiSLfSt5ZYYonqgx/8YHEw2WWXXVY99dRT1Tve8Y6O4HPfH//4x/Ksbtvb3va26te//nX5LkOS+87RHS+518/0N32tfkb+LbfcUp199tnVlltuWTlH3xov+uhoXWdt1010mlCD4NdV97/85S9FWPL8//znP5W5q27I/ymnnFJUfsT7gQceqD7+8Y9XIjlO8hstmnvzzTdX55xzTikfJ9+/lQ15F6lmHIs3velNZa5cf/31q1VWWaV6+9vfXhyA+tj6+c9/XvnYnzln5plnnqaMMHFcuPnGvWmJwGQh0DNyf/vtt5fzst/ylrdU3/72t6cZeAavr2flOdqT1eyt3ysliAoylZT7KO1KK61ULbDAAknuO+g2FjHqmIjQoJJ7CiGygHg0ElDpfxZsH/SgKlqoB8mkqCE8yFU3zLzNuUfsEafxGmImPcFzCDndNnMUcpfkfnzIjofciyLqb+YUaZJ1cs+RRoYjOvbPf/6zWnzxxUvUhwof6rzxuPzyy5dnrLPOOk0Lr/+Zrxo/sOWdiLyIZpho90c/+tHqrrvuKh/YbGWN5fvHP/5RyqdvRvSAEi9FiKAy33zzVUcccURR+b/5zW9Wc845Z3k0J1emAUemWUTCNT/+8Y9LRoLIouekJQKTgUDPyP1tt91Wve51ryufsUfuX/ziF4/UL5Q25F6u2nhz5jww7m2VJ1fPz2vMoWt2Tz0nr5NyReXCYfGueHf9vc1+1uzeemeo3+PndRWhsX7Nfu9nkR/YTN2r5zgKrcq1Hy+5Hw3vTjt4/VnaohW5H+ud0Sb1HMlGHMZ6Rqdld32z/M7GHHH1avZuyr1UCwvqWH2m3ufq9RJa5lwjWlIsLLBj9elOlPvG3NexclTHg2E79yCQn/nMZ4pa+M53vnO6W771rW+VMDk8kUFpIo3CQvSNRizH6heNGMTLx8J5tOc29vsYv1G2eLZ0Kwqj/2vf+nzYCrex6sNJ8MxIqaiPmWbPrM+h9bmHchlEsNHhGqsM9fmwVd9uJPftPrOd/jQM13RK7inphxxySPnaJcJO5R7t67bSXqTMcLrrY5LijexHKl0zrPUd6nmjct/sWmk29ush0p2YsnMSjjnmmFIf/Zjz73nGElL+6U9/uuyBE4GK1BxRCPXhgIxm+A6ec8YZZ3RSrLw2EegaAhNK7v/6178Wr533y3M2+HnEp512WslTG8t47fPPP//IZWuttVbJ72Nyann71CKethxR/z/uuOMKQRIe5mzIAUR47r777vK3nyOzCIDJRE63TT6xoI5Vpvi9+rjPfgODWtj42GOPLc8VQuTgCB0edthh5WdUA4sf58fEKX/QxHLDDTeUXET5pDYai3C4DnbyidWLorDkkksWhUF9TGzIoLxqKuXee+9divW3v/2t3Pud73ynPB/5gnU9PxHZsXnWs0xw2kRKznjIvXLIY6SiSLUyIZrIkYVOTR+R/68cci+1tfxabRg59xb0H/7wh0VFkXrhHuqN+3xhlcGWuqNPwB9GciNFKISPmXvlcOpLDz30UAndaouXvvSlnRZ7muu1SSyA8kK33nrr0n5h+p+UNaHozTffvIwJBBUZcu8iiyxS2uJjH/tY6T8rrrhiUadDuVIfiyUMvEeI2CbId7/73YXwUY88WzgbsdV/9L3R0hjaJffeZzGUIqWtLea+hHfooYeOqHQzBF4HN49F7j1KyB4+FEPj0cSHQOy8885FAaZ+cx4RZmNNPfQjzq4xjczYLOfaMFgK68t5N4/IB2aIAULQamPdH/7wh5LXSyU3LvWzXXfdtfzRVsiDdqeC2oekvMqpn8PZPCPdUfjf77WFsvkjVaCZoug+vzOfqKO5Qf9D2F796leXcus75gf1t0nV+JVaoI817leIcXX++eeXuuuTMPZ86Rjmnd/85jcl0qYvymU2x//2t78tczInAg7u+fCHP1xSx+qRJf3K3hNziX5ufpdrbX5ijeQe6TSGpeuZA815aa0R6JTcS2HR982L5lj/bkXu9R9quHGhDcOo9uYka7h+08raIff686233lrWP+vsG97whrabW/mQ+ocffriMqfp4fu973zuiuFtnrQnGOZ5iLrjjjjuqvfbaa0yRxHP0ccp/bvhuu2nywi4iMKHkPsqNfFhkG9WzduqFrCBJNssJf9WVHQuJhU/OKCJoAUCGLILChBYRC7r7IiRokbQYm2yC7DkdwuabTspn0+fPfvazUjZEzQIjTGkyQA6E+2wWVm5k1eC3GFu8LOhOqaGWWSipBciYyUfZEQWkEPGnJiDMnAMLr3p85CMfKQRLGN3PI5yOLCCJrmcIgskWIZC/rmwWRWFNG9Q8Q1ktkuMh98stt1wpN2LCqBsmdES6k5M2TNzCpdrM5io5logJp2mzzTYrbWoRR8qleCHvNv96F4JpEtb+sBZqPeqoowqGsECm/V/7am9txhky2WsvEzLSo+ycrBkxpEQ/8Kl3CwQT0fJ8fUHdQhm1kCBTFg6mrC95yUvKIonkU7r0oQ996EOFPDG5ouopn9T1Nqw71UQ/CcKmz+tP8pPbsXbJPbwsrJxkhAs5pmpxojhHE2ntkHvOobkBsYQjUm4s6T9O6VJuY8J8oB8Yi/6EcQz0J+k9jCPr/9oHxogMh9IGXvNLPVJZx0I0Rdsbd8g0UxaERvt5HlMnPzd2lIvps+YmooUyMv1de5tHRjP9y9xn7OtPrpdegKSbU2PTq3pxJly/5557tnyk++2p4igg/kQC/dH48ix5ycg8Um8OY0gVR9/c59nIPMKuz6uv9gg8vN/4tu9EfZF7Y9y8xILcG6+cGXMcZwmm5tW00RHohNxrQ3OuNZu1IvfEKE6AvS3EIv35oIMOGhFJ9C193xzGeW5lY5F7ufmcQXO7vkZksDaMFWVSPnOnuUpZ9t1331K+IN8cbeupvTv6FyFJxE9ZvZPIwim3FlsbrDP6drODJ0QsOMXG7DAfEpLjcPIQmBRyT5mkvnZCnusQyZvlrVtY4shIRMkpD6EUIDcWWotZmIXVgmzxQhYp1QavxUl5gtz7WRCvTpqGcofIWTSRCIZwInPeRWkIMykgZiaZWFjVi0JrQUeSOQz+RkAtlPAyyVJwTbD+Rh6DvMMDBsgqEul39RMHIvJBqaewK6cFFxkP1cy/RS/GQ+6pG4hOLNLIERzVxyLdrlFTEACEqX4fbEU01BG5145+ry3DOEkmWwo90otUc1gQhThRBJGgylrg/A554giFhXOHuHrneE17eY8FAdGPRcRCZMHUHpHLueyyy05D0CISUyflyuKPPsDh0U5w4JiqC1wQVYRHP+ckaQ8b10Svuplzz6H0Pkqs8YPsce4QSI7iRFo75J7DDXMLNPURGY3TMJBS0RxpS/qPaJrrRiP37jFnILNBvhFSRMN4recF17EwNqQQGXeRh+z3SK9244gpF+cJOdB28XyOhehCkPvYLK2fj7bx2jhSHu+OqJ53xqEHnOMg8spuvkJ6Rsu5R6zMYea0GCOIOnGD80DxRJT0Tf2dcVbitBJCTBhHhTMgHUIUw14t5IgDFGY+M1aIFwz5Ui9YKKexIFraTh+fyL45Vd/VLrkXsRJtRohjw2orcm+Ns2aZ761/5k8nVYlautdaTDSpb3xvhs9Y5F7EwFgwD3IkOKjWAE77aKZ8+kyUz5zISdD/44AG6576iipZB4xDoou+ZS4XjSMO4RkccdcaK+aXuiH/ohQiWN6RlghMNAJ9Se6p28g7hZDKzKT7WLxN/ggRr5uyLUwcRiGndFlwbM6xuLqmW+SeuoqkmZx4+9Q+arjF0qIT6T7KY8FDDEyAkWpESVCHIPfuVUcLqechFPW0Dvl8Jg4k3mKIFIQ5fQixa2bC/tI/pOk4yUIoPqwbG2pFHEyKFgQLv4nOgt+utYqcRM49h8FETR1FzuvHkZn4KYrUTM6WiR9xQh6kICClEUWQmqAdEKq6xX4JfadOMNotf/26iCBZ4Cx0EbLWXhYJC4O2UNb6qRLNTstBeqiS+m/99CnPVFakUX2l6fSa3EcdpRJxoBBRRB+Bm4rkHrm1sFtsRQ45e1R6jqT/hyENxutY5B4ZNvdQ7yL9xjiiViK8kT5S7wsiUSIFiCpiUd8fIW/Y+Oaoi6QhwZzwOrn3XOkHnZJ7Dpd5jzMivzhMe4lomDspjKxdcu9aDjRFk1NjHqofedlI7jm63i3tTRStfq1okWdQVc1hymTO0z6tDLnXVpwEDgWSldY+Au2Qe84jZ1DfibQXfbZO7lup5eYh6a76r/Qs67I2NbbGmlfHIvf1WloviVTmRZHodo0zrw+ZKxtFpMZnEMKkwZq/rcnqor9ZX/1tbm/cQxB715qdFtRuGfO6RGBGEOhLcq/C1BoLIDXAQKWYRcgWaaYqUXPkboa5DkmmYFG0kfqpTO6j3BQDpMTCSAVGUENFQR4RCgu+tACEH6FGeE08Ft9mFqFuhAIhC5sRco+wmOioHiY+Ey/ibKJrl9xzujbYYINCMhojO0HuRTdM5BacxvKrRzgH9UkbsUegPB+eyBtnz7UWsFbHlo0V6h1r8Lmfc0FZ1X6IvCgMIq8OokkcOOk00nDC2iH3nFwOlAUKIbTASHHQtr0m9xY5YXr14SBxti3mU1G558RJ3ZB+Z46A/4ySe6k3+g5Sqi9pZ46yaAxVr1laTqRWIdUUzrrFeOQk6avdJPcigpztRkeGU6jvcToiqtgJuVd+0Q1zjnpT7qVcEDWakXuRHbgg9/VTRDjroqXGpWgkxXOsyCFiRhjhyKsX5TaPHhxrNvp/v2+H3MOXYq2/tjKpntaaZt+QCKXeusC57gW5Vy7iFjFntA2+zcpv3hSlIwYi781Mma03+jYz7s3nomX6ajjl5vF6nw5yDxsCVFoiMNEI9C25t3lSSg4iKJdOrmWEr5FL6RsUWqkqYa5D5CzsFh8LslCecK8FOdJyKExSDjpNG+q2cm+ysnGJUkINp2xRfONUEJt1qFxUEuk0FlYkC6FGvCguJqbIeQ0cTNrC3yIG6iq8GSdwBLmn5HXyhVpkz+KN6CESTCTCxjbPbJfcu2/NNdcsKUvwrG9GQu6lWnHYlFdqihQcC3udTFnwEWeODYKP2CHOMJTO5Q/yIERM9eP0qS9SEmRe/6I4IckzavqWdBkkRHoOhwSZUk5tZuHzd/2EldHIfew5kMsJH23MKMkIppSTXpN7arcxRIWGr5QSCvZUJPchBCDjsR+kFbnXLhZvERWkPUyUj8IdOfd+zrESLfFcc4sUBsq7CEszo4QiQ9qJuFDf2GyMeI7xYtwRIAgWyIV+z/Rp7dqpci/SI1onoqJ9whAS5MYcKErA2iX3xpXxZw5B/tQbAYrjSJul5YhaqHtsTo5ySNOgiqoXZdicLqWncc+L8St9Am6RliO1iNILNxGkxrluRsfuoN7fDrmXUgrf+qk15tlwYuGt/TnLzU6Hss5wuIw5KZEIOAFqLDUbGUZM2jktR/u4XlqgsnZixpMUYeulKFSjEU8IZMZGRHs5LKIPjeRevr69fmGR3mod7sVRsJ3UM68dTgR6Ru4jB9dCiXzUPzoUX6TtlDw3NhGyKzzuHVTi+ieskQ+kysIWoWgLMEJFraJ2I3UUTx58fAlUeoTBa5HvtHzuRcQtNtQ3ZFHagvLFyRdRBxiYVOo59zYomjAjR91iRslDIhiFzbOQAM6MeglxRooG9ddERF3wbiFrEw6HIFQthIFTBB+b1JAV9Y/TZeIjVvAU+WhXuQ4CUZ/MEAp5tMojLSnyy8caaqITQqEmxdjE5R7Om3A+5Q/ZEsEQKVBmTg6zICFXJmWEwUZJzk/U3++RUI6PXG3XUQxhSS21CCFe1EP36lP6CEerXpax6tD4e3mbUqoonfYTMM4Q502kqTEFoX4UZjyLUiQkLL2C8kttilNdXCPPVb+QN67tYc5pgL9+xmGhYnOQWlk7G2phyDnkhHk24yxR+ZA7WFrsqbkcDQSylx8dU2f9vp7fHfXThhwrThDyGGlt4YyYI4zFsDiZRXpInOjhWv+X6hcKt/6g/5l/4ghQz65HX5phzBFFKKSxUP3CtKP+hRCZKwJPJMF4Z/qp/mrjKEdDGTzHGDbOONiiUc3O1kaIOWEEgSAy+p45wDsi7YKzxunVD2Jzd7N6IDn6rcgFM0/ojwi8uoRqa+6Xj2x+5Wwj7e6JzcTuNRcpv9Q5czJnRn/VNvGlT+qqNjbHsfiIlXvMBca0fslJlxqZNjoC7ZD7Vk9ozLlvtUaYC6xx8uLNo5w6629dAGr2DuuzdmxXiZcCJ7JdPzdfnzYOrBmtyme8Wfuo6yHs1cvDcedM62thnFr1N3bNK67R3xsdkYi8UfDr6bLZLxOBiUKgZ+Q+ToBAYEzw4dXyhk32Fsz6wjWeCkuxkIKCMCFg9RxWi5zF2N+UbuQPUUZaDbhYhE0KlAhlskBYXJAAkwuVjfrc7qZKajPCY4FTfxOGdAwkGTFHuigA/o3MmeyUR1iReT8VTPniWD4bRjkxHAblMjEKY9uE5g/CHBssYzNbnK0bOfl1bE2AlG8kGZFQXk6PTUUWfYqhCQ9BRl7a3Qxk8TXJyn10DwJO1Yk25lS0i6PyIhgIAuKFQCFacpphivRTCpEZzo50F2WmgFNbkRaRF+TW+z3D9cg+54mCSbWJnOHI363jFAq0+zkp3hUbkcfTV/U9ipVIUmyk1K4WGO+oq7gcY0SeE4bIaWPEheOhzFRK/9bf3advIDkIt+fpIwiTk4U4sUg/x1FEq74HpVk92iH37uM8GH8WOP3Zu9XPYio6po04Fn6mHXt1YoQyeDZyyClUT8QFSdX/qckcVypwPc87HAIEVqSp/qVJyjHiapM1x1AdOfxUS883J8CRYuh+YxqBMGa9w5zXjCwE3vohtZrT7XkRwkfSzVmMgwlTY8p8AkPv43Qaw7GJVNuba8yByHPdYai3b3x3xHjhHKoXJ9OYsTEwlFfzgD6jLpTWxi9wxjNDBDB/cpT9HwlSTvfG5l9kDhb6JQfXsznkBAv4msvMs5ymOOXG3iTztTJxYvR/c5VxYU7hoJoXPQ95RLYop6KW1hnzW+A4nrE6DPd0k9zDy9ggPJhnOfPmY9Ev83YcZGCdMReLGMUR1o1Ym2e1OZ4QH56KawgJcdSztUlfsHaLHOhXYdZca42fi3xxaqWxcj7NhfqkvQDmAOVrdtiD8Y83IEiNpr+K/Onr1nbzhfn9/2PvPqBkK6p+gZ9vqZ/6ISYEJCiCCohEkSAgBpAsCpIEREWCZFEBiYtgAgQUEBRYIIgKRjIoSBQRQYKIIChZUATDZ/bx+d761Xt73rmH7pnume6e7pm917rr3jtzTp2qXVW7/vu/d1XVxRpjTGtDnJE/G8ZVtnF4NNBzcI9RNOEALhMeWLbomIx+zgBL0QBwABYGAWjrJm0j1AdUmKAmUqv0CcBeCkYwcNIhLCj1ExWUAdAC2Rgy/+aJY05N4k6PcMQyYes9z4uXz4qtsthoGyBmQbUoAwYYQgsnlg6gAkrVi9GlQ4tVnB1Of1hQ5dQ3zsqlxSREfro897qRoydGFOhRBsPICNU3Y1o0MYIcD4wJoGvxx5gBAp0y975Fh/rDYhubjAAIbGOwj90M/bgTACOKXcGGADv6MKI0IiMcB4wo/XHygKcAK5hjQB8Tqq8BCIDPAhKiv4wT7cbwYvQZbCI1KHIm6Q0om4yI6viuvg7RJ+pW30hrMTIWzA/jBeNtQaRP88kCCVhzngBa4M7PLaoWUX2IOY/TfziQdGIe0tFE0ZNOwb26x3Gl+lx6lPQO8xszq3+CtVP3yczvifQcR+txeMwl890f4v+AMAen6Vhwfox7utUv6m3eBzkgYsZB4WgD79ppXgDZIkDAqnkHPFi4jR/f1V+iI3HOej2S2GwLAApIc7joju2o3+HheU6fuUl3+lffA0zGZ4BXQEb/aq/xG3txWulOnc0pgMNY8R79hIiWKYPDqC1smLHY6khM4J0tUiZbZl6an/WUJONA5IQTi0QI8Y24yIjTxGlungVu3Hpf+gNnhh7oh7MbpxuxTfoK6aFdbJg+NDaNSfY7pbUGpgLuzR/j1jgKsYYDE5xSazo7xK41LwuMTedAfPN3yDHrDnuvfvpRv5p3hFNgbeZ0mnMIMt9odZ+E75sjxg3hTCJs1E/Krt+zna0udTTPkCPjncXPXijTWsNmNstBHpo3TdCf4zE1MCgN9BzcD6rivoN9tTBgrqdTugHA01nP/PbkNYAtxxxyqKYiwz5WOgX3U9HBdL47Gf23ekd6CAAsqsMBBEQs8EAJsgHr102kajp1MlO/PZm+nqm6aLZrsuC+rtP4dzd6dsqZSJpoT/344X7qvZv69aIeooScYuRLHs3aC41mGZPRwMiBe5scMbCYV2FgEYFWl0hMRhn5TmqglQakAWARRUBanQoxk7Q208F9L/pKNEhoX5SlVT4tNi/yjHvxvSwjNdBrDUwW3PeiHiLT0llE9uKeml6UOwxlcF5E7qTKiWCnpAamSwMjBe6BeiHyOB1E6Kx+ffR0KTG/O3M1ID1KOgvGvn7p0ExtcYL7iXtWxFDIn6OHuZdjb1GXmiMPVzQxNqhPXFo+kRoYvAamE9xrrVQuKSvSW2ZKTrr5L72Oc19P+xx87+YXUwNVSZMTtWqVnvgf/7txXIwJKf+teenPoBRpARXulqvqcqF2lzQNqj75ndTATNNAgvvOehTRIOfcxjybeuXYyl+3mbzVaTWdlZpPpQYGo4HpBvdaKSLKGba/abwN6IPRyNS+ApuwBVLx+rG/aGq1y7dnowZGCtzPxg7KNqcGBqmBBPeD1HZ+KzUwPRoYBnA/PS3Pr6YGZocGEtzPjn7OVqYGOtJAgvuO1JQPpQZGWgMJ7ke6+7LyqYEJNZDgfkIV5QOpgdmjgQT3s6evs6WzVwMJ7mdv32fLZ4cGEtzPjn7OVqYGOtJAgvuO1JQPpQZGWgPDAO4dJWu/ijsO4l6SYVSquyucy+9+kZTUwKhoIMH9qPRU1jM1MAANdAruXR7kKEgnxbjMKWVwGnCjrRuJXQoYlz+5jMvP/d/lc53IP/7xj3ITL2DlWOF24lIfl0e5LMoZ/vVL8Dr5zkTPuLXZ2eAua2teZjXRu+1+74Illx2pb/1m4smWN9Pemwy4d3GUS8lc6NaqnwBgB17oT7fCeq5+qVldh87qcAmUm7hdQhWX9nnfBXMuUrNB3Q3KE4lbjt3A3LxIyjdcVuUbxCVZnnXR3nhn7Ltoy8EhscnXbbkuaHQBojalpAZGQQOzHtwP+oKLURgUWcfZq4FOwL3Tso455phyBbubRp0QMx2y0UYbVffee2+5adbRlK1uDwYgnGrj5mi3GTuizhn0nQK+YbQPQP1pp51WbsAGfhzNqR/cwLnffvuV+xgmEgCMbtzu7BZpC0ErcYu4W5TdiguwOeO/VwDc0YFf+cpXqs985jPlRm637brRuxfiSMJPfOITxSnJYwmfrtFuwL1+Mgac3X799dcX8N28oA277WcAtpNjOP8vf/nLy83aG2+88dMq4BZtN8S6oThk0003LYBaWcA0x8CYnog8cCOu26Sb4gQrzohz59kqRwI6ptattUC6sd8UwN6Y/8hHPjJHNMHP3HrsPXYnJTUw7BqYleDeRVgWeGDAzZIpqYHUwP/VQCfg3nNYUWe5W3yxo9Mh//rXv8ocBjyF9w888MCyeDfl/vvvL6DRYu7myG7lwx/+cAGgw5w6oE2A1SGHHFLASyfC9rlMaJlllmkL7qMcFwVypG666aaegfso+0Mf+lA53vhXv/pVBail9F8D3YD7qM15551XbbLJJi3BPaD+xje+sdz78IxnPKMcCymChDUXUeJch+y9997FAfjc5z439rOvfvWr1QILLFAuhyOiRKuuumqZ0y4QbDf3OAE333xzpUxgPsTtsJyF2267rUSaOP/+nHXWWeWenHe9610Vu1A/ttL45sBwDOtlRZm33357Af0c0vnnn7//nZRfSA1MQQOzAtxj7DBwc889dyXE5uIrDJfb8TAMKU/XAON7zjnnVIzuPffcU/S0xhprlEtHJmJSUp+jq4FOwX0svtMJ7utgAQsthxfYd9FdU7CHxx57bPWqV72qq84BZg844IByt0eC+wT3XQ2eIX54MuD+Jz/5SfX617+++vnPf/6021ePPPLIsqbWRXSPM11n+m+55ZZCCjz44INz5LAj3BZbbLE53jdXMfwiMO3mHmAPtD/rWc/5fBWFAAAgAElEQVSa411OwZNPPlmiU4Tje+ihhxbyAohffPHFK87KO97xjvL7p556qhADWH5/WolnPC8VsRXrP8TdnVWbhRqYFeAe6+YqaCxVyDzzzFNCgI8++ugs7PaJm3zppZeWcD1Q7yZOxvetb31rNddcc5U8XSxLyszTwCiCe8yvlJETTzyxjFVAvJnru/766xdw382V8AgBeeBSOzCBk5Fu0nq6ebZVXSbL3EtbOf3008dtXj+Ze2zocccdV1JzmgBvqjqZTJ/NhncmA+6lfyF2MNj1eRR91Owr+x6w+fo10q2klCEG5MiPJ1LOrNdy5IH3bkXqGDsgnx+hh8hrgnsMfqQMnXrqqeXWXKk340k4LFKHpAOmpAaGVQMzHtzbaPamN72peOU26CS472wobr/99tVFF11UWBeOEDFY5C1edtll1brrrttZQfnUSGmgW3B/9tlnVwsttFAJnYv27L///gMfG7vssku5sVqaiQ10Sy21VNlwCuiHtAL3wIg0FgyeTaN77LFH2T/wnOc8p7wmv/byyy8vrKD8YX+AjVYhe1GDo48+ukS72BypSljL5z3veWW++DfH2K2cUhuwkZ7zTaDJjbciZEQ+vfQAeb6rrbZa2TMQJ3X4jvIix37hhRcea2MrcC89wrceeuihkhMN4GBfSaTlAE/ANScJs4otxcLW2dJ24P7qq68ufY8EYBNE9rRzPPEsQC8PGktqI6Y+UEf6lacNnG2zzTbVnnvuWV1yySWlbiKv+lfd9K22cehOOumk8p6ILCJHhPHiiy8umzulWGg3/SIs/FwKEILCs9Ir/N8Yrsu5555bnMHf//73xXGkC//eYostig7rY2ukJvj/q+xkwf0KK6xQgHknTjId0tV1111X9rgA2cbIyiuvXMZ4KzEPv/71rxeQDUibK92K7+kn3wsxdpBVn//856trrrmmjDtROXPBRltpusbPROIQAbZESpFUpJTUwLBqYEaDewshAy4nV25efSNMMvfjD8mrrrqqpDdYQIElArhgMm2qAjpSZp4GugX3NsTJd5dTiykjFufNNtvsaadX9Etbu+66a7XlllsWJx4o4Mi70l6ub0gT3APWQAYgC5zaQ+DEmNVXX72AQoDOaTJO1QBCObkAUfNEjigfyygKCChgADGVygI0iI16ypLrK3UI6CeArlC/uSUNgf4BH7nCvodZBCqlQtjYCOjKL37kkUfmYESV1QT3gLd6cVCkQmBNv/WtbxVQ41vAPcLDKSB0tcoqq5Tvqj/G0+bZkFbgHhg688wzy2ZLKRBYWmBJTjIw1UpEAH1HH9GHtgL6AH7k3GujenOIOEwE++uUE06TRQtQlwpCv/TBIeNY7LTTTiVXW/mhL3nfwJvn6UguOIdNHwDwxob1IYSjqHwpHxzANddcs/Qtu6fsmSD9BvfWXkSQqJD+JSJg+l6f7rbbbk9To/7i0NkESzhenLZu1xpzZsUVVyxzKcS4N06MaWsYJ0JkgR0w//T/85///DIP1Zsjb2ybB3Xh/Ipg+6NuKamBYdVAz8G9yWPBePzxx4shxeyZ6BYWR2kRgNsmNWCAYSUWB2EujJQJhuGyuL7//e8vOa/YIIYW6MRkMfYABYbH7y0sTWEkMGMMs2ct2JhFZQa4V1+T3gIllw4wCTCrPIuHvD2hRIvh7rvvXpgjhqAp2ql+8vEAHqwSkGFRYkhsNGIQ5LELbWofVg1Lztgybhabb3zjG2PtZ2h8L9qPcVK+hVCbHBmGHYlFBwhQXws7UIDZ0z5gy/exY35vIdQ2DCdwQ990jwVtJwCURZiOApwM68DOek1OA92Ce8xqbIwzR2yIk1qB3RtUjnod3MuLxfaJOpn7WFnSBPdYPDnE9XQbrBxnxTvmuQ27wCJwL02gXXt++9vfFmadbYmTajDMyje/4mQeoFE5mPeIhgEd7CJHms0AaoFRbDQBhPbdd98SFQnHgr0zf+vpDp5tgnvtZ998j53wbYyrnwEt7Blg42+gBSC3P0nEQpvraQtNcM9eAG6eC9abbeO8NImUGIlsB4KFrQK0QzhV6hjg3sknNtbWwb1n1Z3zIIUCmDfGRB0sYmwoe+fn1hGRiCOOOKIc1xpHIRqnIgDWnTjSkG1k96wthHNjLZGzjRQiQB6nwrPs80yQfoN7zrL5wGmMfPjYZMsp3HbbbduqUT6+cY9l13ec005PtzLGAHPrYDN11P4g6605LjJmfnM81IXTYc20xlmb/TEn2bT6Ph04RcqfOeP9lNTAsGqg5+BeQzFDWCveLaNNgF7/t2gKuxIG1SS2ucViCNRaALFfcvss0BwFf1v0hKlNPkYDS2e3u8kJYLTbBIN9wdAxLLET37ctrhZMANzCzCjYXY85iPAcA2VhZQgsLNEGYNgCCyzXBRtggeO4yOcHuoWD6UMZduprC6VbbC3gGAyOhUURYygtwHcZkDidgIHkJFi8sA4BwCzuFsB99tmn6BubR18cAuXSLyaTQcOmMVaOmwOGLHpO1WC4/Nlrr72KQZMaUA/1R/u0wcJsYYzFclgHddZr8hroFtw3F+oAnsZiM9Vh8rUa/806uPekuWw+YArNOTalDu4t0MCCsDpGN8TPpQ0A2Tbdmc+dgHvPSSFgw6SAsDXIjLCFAeTDfnCORQyAA0SFE0bYQOWwgcgA4Nuck1Zi/tfBvTnvexOBe0yzyIAUBcCeDQJkIx0BQAGs2Vq/C+H0Y6u9J7WCNME9gM3usufsjD+cHHam7lTVew7gQqBce+21c5Ax2gM0B7j3N5tUB/fKd+wnx8C32dc4sanVcZf0igQJcO99tp499HyckgLEc8gC3HO2rDHqo30kNmCy6/Q+E6Sf4B44pzv6rp9GE85zzMmJ9BjHmdJ/pxvhzR9z2rcmEhEi66G1T//rX/MFISntar755itpezEOlGfOWP8w/vLuU1IDw6qBvoB7jRX6lEvKUEcOpgXCpDCpMO4WYeAZk+8ZjBmjCpBbfDFamJhYDIFb4TaslQWRyKHEOFmMWglvnFOBhWrm3GMUhKBDAGpsOOYJ+wNQ8+pdaBFi8Reit1C1Yq+BecyAv4FlgtEnmAT5fpGvaDEXevS8aIWFl2HCFgAEWDRti139oiEcFQsMZ4D4nTKE3S1UnClgIAAFnSkfaAde6BOjxWhZxOWnEqwWpsq7raIgci0x/hiOlJmrgW7BffO0HGAfK45t6/QypalqswnulWeRNmbZGPNVRCo21HKwhe6xuHUmNtJwgA8RAH86AfdRf5tS2Rl2DtsL7LJlMRex3RwA30FgAC0MsBQSl/iEmIMAJ+CN+WcbJgPulQfUc/6x7PYKmON1cN/qKEz2Sn2AftEH0gT3wDNmFRjmpABHACPCAyhqboxVRjDgogT6JqR5FGa34J6OmoRDK3CPVALu2WWpSCSc0QD3ogEcQ9Ef44BEhEDEFbkyE6Rf4F6U3Ng1zpokUTD3wDMSbSIxTji5xjCHtxNBYFnvEVzjiXVfWhhn1DpursMUcIdxYr5x1BFabEREHwLcJ3PfSW/kM9Opgb6B+8ibDIMI7EoNwV5htzFp8ho5ABafugD1FjgGAoiuM13YHJMPgGCoJ/LoxwP3zdNyGBIT3eLP2WiXX6uuQDP2vSnABFBjccSchQj31he0+nuRxsCh8E3tB9K1n2GL8LifCw1zAISJMRv1S1+UQx/Skeqb2hhS/RCAC5igOykJkYJkoRYFofemo8SBclYwo5kyszUwVXBvHEVKS/N4un5prhW49y0g1ph1UgYwx3nmWGN8ATh/sMgh5hcwD3hj9Dpl7gFDzrX5y9mWsgeYs13AcYB73zF31ZdjLf3EvApH3ffYNyCInUQ0hCM+GXAvEgg4IyvYNmBJWstE4D7SjOppKE1wL60GGcN56fTkrIhUDjO410eiyVIh2UvECHvOriNdZor0A9wjj5BGIuutor+Rc++ZSHkaT5+cNv3AGeAwTiQAO1DPBi2yyCLjPm48ey7WT+A+bkiGL8xp0TT2AGkWIq2V04sAi70BE9Urf58amA4N9A3ca4x0FxekMJImCK9aCAzTzGMW9rXgWnyJMJcwMMYEQ45p936A+1AQBghAFZbGrMuvbJeTN1VwX8/P7KSD2oF7hsrGIAt6uwswMPVYOuwncEAHHIJ67qs6YAil2ticJqqAyQcgOAZySaX51De0YbEY3HC0ugX3AAkj10xD6kQf+cxoaaBTcB8pEeYiRzsEsBcl4rgbLwCzed2rW01baVMKGoDcyvm0UEfYPcL7mGm2SRQLYAv7Y+7KQccCm1ORc6+twD6ADQQ0T0phn6RyRC67OpqH9GDe10kAjB87gERo3qqLseZsSy2II/qkzknvAzZ8HyhDhoh2er7OkJv/+s/zRN465jHSIONuAuBaG5944oliZ/xbqksIx0LUUj59bChExmgPMK89Qd6oC/Y7ThBSNkKi1V0DwYBLWbLBOEQ6hHWAPeOExdGF+lVqB5GSqZ7SMdWV40jfIomY+ObRp5wPaTkcJe/RHzBnHaoz9820HN+SUsbJMh60xdiaaeeaTwbcR7pWfZxHH0pl40gav+ZCOKN0KOLLsdOvQLXoe/PoVfOEcwyUm5fes25xlI2x2O9irlnTzU+OcV30tbXTt8Y7ppJz4Tv1m7WND+ucsWX8m/vGojVTtC3Et7XB/GPrUlIDw6qBvoJ7E0043EdsKLXImHhyMi+44IIxIB/KwVJ5FptmU0zkxtaZe4CeATH5efQMCkMsD74V+JwquMeQSz2oSxwF1oqZbAfuLYxyRrFCzVsylWdxsjBrk/bLV8ZEYMUC3Avncw6EC4X4OUEWRourBV0ZnsG+R9hZvQF7hlJaDzawW3BvgWteNz6sAzrrNTUNdArugTzADwADzESqRLxEhMxxTLYFHogzfyyS9SjT1Go559vC6WyCRbuVYP+As3ruLvtj0ZaPL98coJBiov0ii1g7Czwgylnm5JsHcuVtzK9LMNI2ddKHiJjvmW/skohlnb0XIRPqByTq6QPSh7QDIDefsYT0J4pHtwC0aAOH3tyvR97CVmBEpS0SDgQ7gGEXOZWHjAjRX/oCUAbi2SzsPkcBsNVGv2MzQtgW5AMQpv10w5kSneTIYDLZJJEKIIn+muI7SAIEBjtI92w8G44Aks7BUWT7OFzsKxDou97VNsSIdYJTog85Y0HA1M9ZB7ysP+x/REzZSgCfLQ5mN/YviFZgh/3N+UKeGMMcQe21trQ6ArWX43iQZXUL7kVxzHnrOH3GsafqDLQbM8YCUokDTDibxp0TkQJI2+diHMaxr9Fma6OfSRMTOQbcHTAh3z2OphXZ4jSaj5zt+hjTT5x448Z62E7YIWOUc9A8l5/jDZuIemsTDOK5ehTcnJXO49n6nB5k3+W3UgOdaKCv4N7iFrmQWCAG1QJmAltE/KmH20xom16xQiQWOwsPY8LIM7oWhkiZsZjK87NgSLNpCuOuTKfMCLHa7KMeJiajUb+h1mYtE9lCqi7CdMqV/mJBZtwZBuFuC0yTOfBtLKXvqIv8+rrYXGTPAa8faGBgsXQYKwDEOxgyoX0ijGlRBdYtttgrxqa+6FossSbqyegBOnF6RHxbfTgJHAeC1YqUH0aVADgWWexH/egxzCvGRrpP3WHoZHDlM6OngU7BPSdS9A34MofMJ/NMCpg5b37WN3Q3N3/2QjPAgD0jFlpiP4rFt8ni+p15BXCLBIZwmtkSIJodMsewjsoJiU3tWHCAOvao1OsPdACl5qDfAxc2+7NNQLq5HQDFe2wAWwCw1gVgZt84BICL/UgYSIAGKDJnOU+x4V8Z9M+OqDcmPtrKhrItoqP6BvAB5EUE9I/3pE4AZACvv9k+uvMOB0OEgs1x0EBsUMSkSluyMZb95kjEyT4iEbEvp11KI/CMLWej1B+45rzoAzaWzaUrfcPxoSvkRByawKEUzTBOjT+6Zzc5Cvre83QRx6BqA5uvX0Q6CDuu39l53yEiv77Dnkpd4ghyjrRDHyhH3rd6A32jLt2Ce2sZB94f4N3cjrlgXZZ2yhnj0NcF6JbGEky69dP68vDDD8+x9rMhxpM5YF3lxNU340aZnglcUT+9Sn30mX4cL0poXiq7HbNv/Ein0077VJrPieKwBdbwlNTAMGugr+A+LoYBBDBQEc4G1IV2LYZ1iUtjGFgGnlFmfOU88uYxLxYVbA3mi4HA4FgEMeytxEJkoWIobJJiWLDQymFEGHxsgzp6JkLOcQ408As8x2JlsvP+I2ze/CY2zfcwaQxW3dBYQMMghnEFmC0y6gOEW0RFOxgX7cdOBTNmgQNOMIEWJ4ZK+zGWQBWmA6tg8Q82y4LHEYkNwIwgffoOhjIuCeFsWPAZLSxNSAAEKVLqkjKzNdApuA8txEkp/m+ONEFd/L5fx2I2wUS777S76XSi+mtXfGO8NkQ5dR1EakIroBspNs3RVK9PfK9eTv33oXN/x4bQZj9E3aNe8Vy9ThPpYDwdT/Ruq9nSfCeeaTd2WtW9lR7i/Vb1bf4snq3rLfRtTwQnA9AUrQknDFHE6RL56Nd4HpR16Rbc97JeSCR71mLDci/L7mdZxgIHFGiKS+X6+b0sOzUwFQ30FdyrmDCe0FycK+xnNqJgP+Te1cWEB9Ix8QyAfHqMFQOMWWZksehCw4AvcI7lwjS1EywDNkxqD8YIu4QJC2aRw+E7GCcMkOelrsSmWnXClok88PgBaeHaVgLQC6tzEhhPZQHX9YtPGAjlYRkwA4A3JoBg3rQfuwVgqyfQjRHBjmEVgC/sBwZD+6XYxIY8ZXCoMPTYed/HumG6PCuqIOzI4fF/YXT5g0LjUoO0X3vlOFrgtIHzow4cq/olYFMZdPnu8GqgW3A/vC3JmqUGutcA+y61o9XtowgSEQEkS4L77nVbf8OahcQblZvOrZ3WYNGbeg7+1LSQb6cG+qeBvoP7/lU9S04NpAZ6rYEE973WaJY3KhpAbACbUhExtNJJECRYf2ll8rxFTeuXHI5K25r1nE7mXl0QdiLFItbSoOpHwQ6bTuXfS00VtU+Ca9h6J+vTTgMJ7nNspAZSA2MaSHCfg2G2agCIdzSzfQTSGqU5ipqKvAL9IsSt8sBHUV/TDe7pTD4+h8qekGGOhNhTgLlvd8rdKPZ/1nnmayDB/czv42xhaqBjDSS471hV+eAM1UAzn18zW+0nGeXmDwO4H2X9Zd1TA8OugQT3w95DWb/UwAA1kOB+gMrOT6UGpkkDCe6nSfH52dTAgDSQ4H5Ais7PpAZGQQMJ7kehl7KOqYGpaSDB/dT0l2+nBoZdAwnuh72Hsn6pgQFqIMH9AJWdn0oNTJMGEtxPk+Lzs6mBAWkgwf2AFJ2fSQ2MggYS3I9CL2UdUwNT00C/wb2jpV0K95rXvGZqFe3j246CdhGaOw1m0u3DfVRZFj1CGkhwP0KdlVVNDfRbAzMB3LuczU3Lbl5tirPK3WbqVBSXFLmczQLvIru6vPe9762+9a1vlVMy/C6ei2fcinvxxReXOzvcEeHkD2dgu6X3jW98Y7mXw2V3KamBYdRAt+De/SkuP7z22mvHmuOm4xtvvHHsckq/cEeLO2rcsxI3+Zof7k6JW4NXWWWV6sQTTyxHYHYjN910U7k92hyuOw3m2nHHHVfubfFtd7K0OlrTM25Y/sAHPjD2WTcwu8fF7cQrrLBCN9XJZ1MDQ62BBPdD3T1ZudTAYDUwE8C9G6zdpmyxb4L20KaL4LbaaqtyfrlLiT73uc+Vs7fjcjt/u8DNZW7Ag5uk4/fOOwf+3Wp9wgknVKuvvvrYpXXnnXdetd9++5Wbrm+++ebBdl5+LTXQoQa6BfduNHcZpBveObLmB7DPmQ0BlHfbbbcyn4Bwcs8995Qb111YyRngVLsF3eWRHAPn3HcinGzHkbrlXZkcacJhcPa8SyE5IOrjwsrmRZNxIzunoikun9xwww3LPO/W4eik7vlMamA6NJDgfjq0nt9MDQypBkYd3P/oRz+qNt544wqz7pbRk08+ua2msXxunQQKPvvZz1Z77bXXHM+6Mfr4448v4GSBBRYov3v44YfLrc8APlDgYpum/PrXv66WWGKJyvnYKamBYdRAt+CeA+u2eaC+lXB8peK4/fy0004rt52TU045pVpppZXmYMX9bOeddy43q3/zm98cVz3hUHv2pS99aZmvdXDvJvfLLrusuuuuu0qUTYTN90QOQszjbbbZptw6796CVvKlL32p1P+qq64qt7enpAZGXQMJ7ke9B7P+qYEeamCUwT0ggGmX62sxx7YL5b/4xS9uqaHDDz+8mm+++aqjjjqquv/++wsriJkMefzxxwujj41ccMEFy48/+clPVgceeGD15S9/udp2223bat5FSEL9KamBYdRAN+D+6KOPrvbdd99qjTXWKGN/nXXWedqlUxxkl1FxkrfffvuxJgc4b+qAk/DWt761pM9NJGeccUZ13333Veuvv36JkgW4/9vf/lZtueWW1UMPPVTdfvvtlf9zvF/1qleVtJ8QYF+KXaQJtfqed+eaa66Sorf11ltPVKX8fWpg6DWQ4H7ouygrmBoYnAZGGdwD6ECIa+2x8ECBRR44byXaiumTJ4wZfN7znldSaTgFpAnuMYCbbLJJYTAfeeSRaqGFFmpZbjO9Z3C9l19KDXSmgU7B/VNPPVWtt9561YMPPlj94Q9/qJ588skCyo855piSZhMCPG+33XaV9Bc59RMJcH/AAQeUVJ/x5LbbbivPXXjhhdXVV19dUoHqzP1OO+1U5qM8fMy9lLxll122OvbYY0uxGPyll166pN2MJ/bf2CuzzDLLlOiAtKGU1MAoayDB/Sj3XtY9NdBjDYwyuAfm77zzzpLTK30GUweYnHvuuWUjXVMOPfTQkqOL6cc4CvH7t1SBl7zkJU8D99hDucT//ve/q9///vc91nwWlxoYnAY6BfdRIylm8tox24D9vPPOW/LnRb6IKNZ1111XAPiiiy46bkOw7Kuuump1xx13FJa9nfzxj38szroNsksuuWR1xRVXVG9729vmAPc2tG+xxRbF+fj73/9emH1RNc9JEbL35rDDDivpOOecc0519913V5tvvnkB8XXhxNhoe8MNN5QInvalpAZGWQMJ7ke597LuqYEea2CUwf1SSy1VyZ2NzXyxsRazZ9FvBe6xkGuuuWb5lbZL1ZEPLP+2ydw/8MADpWyAxgkgAFJKamAUNdAtuK+38eyzzy4nTjllRv48sffEJtdrrrlmwmMlpfd416b08UTUjZNt4zuRwtNk7v2cYy5aZ4P7+973vnIyDyYeWJdGt9hii1W777572SDPERAtkH/PYQjhsH/84x8vNoATP5GDMop9nnWeXRpIcD+7+jtbmxoYVwOjCu4dfwkMSAsIwSQC7jvssEMBIc3NgJj7Orh3uo7UgvPPP7+cnAFUCOtHzr20H4zjM57xjJKWk+A+J9OoamAq4F6b3/zmN1d//vOfy54WZZlb0nQw9y94wQvaqoXzLYXGPpfxxGlWUmtECkJsdjVfgXSAPUQaHHBOoi42wUu522CDDapHH320pNCZ1zbbK0N6kQhCHdyL+Dnpyglar3zlK0e1a7PeqYGigQT3ORBSA6mBMQ2MKrh3mo0Ncdi7ECAcAJEr7E/zopomuPeedB6M/6233lp97WtfK6dwYPJtqAUI5OZjJ8c7ZjOHU2pg2DUwVXDvRBznxsuJl/LSCbiXMnfWWWdVhxxySJmr4wlgjl1vShxV6+ciaYssssjTnnG/hPlrIzCRridSYOOteQz4q780njgPn3OQ4H7YR23WrxsNJLjvRlv5bGpghmtgFME9ds9ijdlrCoYQGycs70z6ugD3a621VtlIVxesoZ/boCeML8fYMXwYQqF74EToX9ntTgNxVKaUAieIpKQGhk0DUwX3gLNIls2nhHNtrJuDrfLVbYKVOrPHHnu03Yhe19F3v/vd6rHHHpsjOobxF0kz74B0LHzzHgtH4bq8Tt59iGiB6J28fAy+I3IBH2l37qMgwP2nP/3pchpQO6dh2Pow65MaGE8DCe5zfKQGUgNjGhg1cG9Rlg7g4pp6Dm00SIjd5jpAAXMXGwD9Hrh3socj9poiTx/ol4bjYqr555+/PIKx9zObC4X5hf2bYqOhjXwf+9jHMnUn59ZQaqBTcC9axVGtHxH7z3/+s5xIY+MpB5Zgxi+55JKSFueOh7oA9h/96EfLfpj6sbScA/Myynbjs7nc7hQqKT82wLfLiRedO+KII4oDUc+ZB/hdahV7b0TmnIrlPooQG2qdvCPNyHfSKR/KYZuV6kIDCe67UFY+mhqY6RoYJXDvpkyb42yCxbYvt9xyT+seYNxmWoDb7ZNutMTWSdcBFJzZbdNdKxERcIkVoB7g3nNAhI19t9xySwE1Ttl5zWteUzbxye2X2qNMaUEpqYFh1ECn4F5KC6bbRnLOMDDu7gfAAcAPAaDNM4y7uREiP94GWidXcaxFugin3Mk1LqBafPHFxzbL2t8i177VUZTtNtQqT7miCNJ9bKptir036iDy5qQcbaifx++cfrn4NuWL8OVRmMM4arNO3WggwX032spnUwMzXAOjBO4dcemWWezhn/70p7IZ1uIdYtPrO9/5znJTrLxg4HvFFVcsIMMG3MjRd6494NDcICt/33NSdOrgPsrH3J955pkF5AMHztPec889JzxTe4YPoWzeCGigU3CPpXfOPFYd4AWIzbmmAOvYckdXxr0S5p354HjJAOD197DpnAfiaNmNNtqolC0VrpVwIJxXb741c+3dVWHuN1Pvohz59ep16aWXluecpFNPqWM/pPo4LlO+f0pqYNQ1kOB+1Hsw658a6KEGRgnct2p2uxz4Hqooi0oNjLwGOgX3nTbUvPvGN75R2czqj6MxR0lE3JyZz4nJU7BGqeeyru00kOA+x0ZqIDUwpoFRB/fZlQnOUSIAACAASURBVKmB1MDEGug1uPdFLD92HAMvYjYqYuO8/TVuwW2X7z8qbcl6pgZCAwnucyykBlIDCe5zDKQGZpEG+gHuqc8+GDn6bpW1D2XYxS24cvSlB8XJOcNe56xfaqATDSS470RL+UxqYJZoIJn7WdLR2cxZrYF+gftQqs3oNuG6tXZYxaZ6G4A33XTTTMUZ1k7Kek1aAwnuJ626fDE1MPM0kOB+5vVptig10NRAv8F9ajw1kBqYXg0kuJ9e/efXUwNDpYEE90PVHVmZ1EBfNJDgvi9qzUJTA0OjgQT3Q9MVWZHUwPRrIMH99PdB1iA10G8NJLjvt4az/NTA9Gogwf306j+/nhoYKg3MZHDvLHq3YjoXv35TZrMD3FbpZk5ndy+wwAID6R/fcvmV87af97znlQt3nvnMZ5ZvP/HEE5VzvP/jP/6jnMX9whe+cCB1aveRv/3tb+USsPrZ/+rvBmCXhjXrP62VzY+31MAogXtzwj0Vo3a8ZivFu2tDe+add94cmamBvmogwX1f1ZuFpwZGSwOjCu6vueaacnU80PnKV76yXHbz/Oc/v1wx75Iq8stf/rJs8PvUpz5V7bfffgUsN8XFV6effno589qNt1/60pcG0oGHHHJIATBXXXVVaccuu+xSbrm9+uqrqx/+8IcF4KvL8ssvX27BXXLJJXtSr8ncC/DFL36xOD7qGHLwwQeXS45cBua2YEciuiwoHJSeVDYL6ZkGugX3xuXNN99cNp66xXX99dcfty4cZO+4cGruueeudt1117Hn77333nJTNEfQiTrKevazn92yPGPprrvuqlZbbbVqscUWK8/87ne/q84777ziqDvhZoMNNqhe+9rXznEpVRTmNmmXzbW6tbYTZXJYv/71r1cf/ehH53j8vvvuq1yip20uxHruc5/bsrgrrrii3IgbjnDUhwO82WabdVKFfCY1MCkNJLiflNrypdTAzNTAKIL7j3zkI5VF1E2aWG0Lr9M6AIbDDz+8Wn311UtnuXH21ltvLbdbYsBbCefgyiuvLOd0u13TNfX9FqAdEOZ8AM2AEADN0dh6660LyNcGYGm99dYrlwVtvPHGU67WySefPAdA77RAN/ZedNFFY4CGM8RhAtochQj0n3rqqRWA94xnPKPTYvO5AWqgG3D/3ve+t/Q3IP2rX/2q9Pu73vWu6stf/nLLGruRdocddijOtTPvnSG/5pprlmeV8/nPf7566UtfWrlx9p577ilHZ/pZU2677bbqrLPOKo54gOM777yzev/7319ukVWuuX788cdXBx54YLX55puPFeHGW++6UIuzzIntVoxfY/m0006b432A/y1veUu5Tffaa68tEQU3VTfl5z//eXXSSScVG1SPFCr3iCOOKO9pW0pqoB8aSHDfD61mmamBEdXAqIH76667rnrrW99aPfDAA3NcQIPdW3XVVQvI93c3oiws4e67716AQ79lpZVWKsAJm0kAfCD5jjvuKKD+pz/96diRglKLAOap3qL54IMPVm9729sKuOpG7r777hLZOOqoo8ZeE00A1i677LI56i8SkTKcGugU3H/rW98q4Ni59VJJHnvssWrttdcu4+YLX/hCAfF1MQYcLQmAf+Yzn5mD0X788cerCy64oPyeE+7SK44DZ5UjW79ACgD2HABtfse8ePe7312AMsc05IQTTqj22Wefypn1z3nOc+aoz/bbb1/OsO8W3Hv+29/+duV75lz9fU4E4M7REM3gZIiurbDCCmPfVn/AnXO+4oorPm0Q/P3vfy8OOkKCo5CSGui1BhLc91qjWV5qYIQ1MGrgHgMmpUWIX4i8LsAyEAOMdCOA76KLLjoQcC//1uL/qle9agwcR12BJ+kAQL769FIACmBIJKMbEVFQl3XWWae8pgygRnrFJZdc0k1R+ew0aqBTcC+l5c1vfnP1ghe8YKy20mSk5kiVuf7668d+fuONN5YUma222qolE+8mWE4rRj9E1IojICIQaTd+B7CL/mDvw5G11+Md73hHmS+f/vSnx8o4++yzS9oNRr0ZkeOEAtndgvtHH320OBacBRGK+vu+oe3f/OY3S7rcEkssUR100EHV3nvvPVYnwIozs//++7fsZeV99rOfLXNeCuBM2E8wjcM5P91CAwnuc1ikBlIDYxroFtzLCf/BD35QFm2LLtAn93pQgkWW8ypNQApNnf2ThgOoW3yJUL2ccHn32Oa6yNkXYsc2Ay7ScprMPSCOyVTmwgsvXFg9ubPjiUWcjvyZa665CvhZeumlyyvyiQEH6QOYeyBH/THqUgGwghyUnXfeubCVW2yxRcktjne1Bfsp5eFNb3rTHDnH+gNo+NnPflbYU2AEwwhwACKAE5AiJcLeAiwi8IVFlepgnwK9AfIBmGwGPPTQQwuQWnzxxUv9ACspCfPMM0/5uWeBO2CF/i+++OJSB+BQH73sZS8bUxf20u8xoADcuuuuW4lixF4IaUr6RbuBPN9TT3sqUqamgU7BffMrsUdDH5kjxhjRl6usskoZ49JyOhUpaMaJeRyCKTevOLaf+MQnxn4e+zw4BJwOKWrEeJOC1yo1BsARXegG3BvnypQOZ3/LcccdN/Z+7Okx5+rg3p4TzgBxMZY5LWo4nnCGRBWNbXMwJTXQSw0kuO+lNrOs1MCIa6AbcH/YYYcVoGtjmM1tmCuA2ILcboNZr9VjsQUaL7/88gLKd9xxx7FFtv4tCyjgasG2WO+1115jIPLoo48uC7G2K+/EE08sqQh77LHHWFqONB9gBhgBXKUp2NTqvXYn7wApwu6AikVcvrHNeeoBHNjsyzGiN6fyHHvssaVswFk+MuALhMtHBvoBAOkv9I6lBHo5DYCEnOPYtAiccLJELIB6v1cWsGR/gkjA6173uuLkcCIAc06DFAbfwdRydM4555zifLhplPim9tKLNkmlUH+gBmiPNIxIT+D8vOENbyhOAp1j+TkDWH6y5ZZblg232223XXF07DuQo8xJ8P0jjzyyRAP0GV3Rg/r7TsrUNDBZcO+rgLL3jc1Iy8FA2xgrPUbKjbFjTGDNI9++XmOnP2Hfpfd87Wtfm4PNt1EVuDZPmptO7eswpjgEvm3uAfbsDseiKeq40047dQXufdPc8ke5xl3dOTAPzVNODAfUhlnzQhoRO2guAlYT2UDpf/avSPOpRyKm1rP5dmrg/2ogwX2OhNRAamBMA52Ce8yZxRUrG5vdLIbC2RdeeGFhogcl2Ov3vOc9BQwQEQRhfSAgxOJs4cXYS+WxWRb76NQNebEW6WCoAXDgos7ccxw+9rGPFSBKgE9sOcbOhrlWQkfABbACeHAQMM8cCADb952ega3GRmP86iIFBpiVOgOIExuHfc+m3ziJBniSHiG1AeMOnADSniUiDiINUnHkPBPffv3rX1+cmBBHhMrvpwcsqbY5dYiDQLyrvzksIaIh9M3RufTSS8d+znniZERuNDDHMeFAaBe2Xl8AgUC+73EC9BmdiaAAT2ussUbF+eIAeYcjUo/ODGqMzbTvTAXcA+OiP+ZMRFkAVEy2KJNUGGPOXImolbkSAtBHNM3PvGvOhXBSjYHbb7+9OOxNMZY4rsYiQM15bQXsvdctuOfsimAZv6QVuDcuzQlzWL1FDJAcxju7wpngPJu3xraUQUDLXKrLb37zm7LhmIhKpaQGeqmBBPe91GaWlRoYcQ10Cu4BQOkjrULh06UCKRzAMJZeWsq2225bQH6cC28BXnbZZQs4tghbjKXCAML1fHHnzTtRJ8D9j3/845JygF3GEgKiUo8AWmwlsFPPSY72Y/rl0osm+BYmn2PBocCCYzbHA/eRc18H98BTgA5/YxCVqR+kJfkmJtE3Wm3Uq6dVNME9oEZ/2FYg+he/+EVxRIK5x0g6paS+QbkVuNdO+gHc6dvmQmV7l/4APs9ss802hamnRxs1bR4WNQDIPBdpC0BUpDJN19iaad+dLLgHfI0Hjl49PYoz5v+cznCSzTcg2NywAbUpyhCFclym3HQRGqIcUSHOQz2NK97nWHMkjE0pOuYmx7IVodANuOd0SMMRQYqNuewEG9JM65EuJ4LlPgon8thszMlgS7zDueGYeNf4FhlTb6lxIVKZkAj00E3a0Ewbi9me/mggwX1/9JqlpgZGUgOdgHtMFMBsEbMpbJgEkGTU1MvJLuoo3cUJM01wjznDeltwvRMsZPO0HEACuyhSofwQYIITgI1ubub1DGCLUbTIcwiUD4xbyKWyYOO7AfdSEXwLCAHgibJ8AxjGjkqXkZLj9A6gp520Yu6lFohOKMPGRfn4cUfAX/7yl5ITX99AqexW4F7qhNQi6VKAnbYTGyn9X5+IEhCgTLQAG4vRp2d/18E956a5R2KYxtwo1mUy4J7DzDE2rvVtXYwnbDXHLeaCuSLFyrhqB17NSU6dsW1zKsHqm4PGEfBcF9Ew4Bt7LnIldcuY5XA6Oat5r0Kn4F5dRQzsSREtUl9lmfvm0jHHHFMAvOhkqzP51ddxsJ4zf6SfcVg4qJwdOuOoSI8LsUEYuBfpTHA/irNouOuc4H64+ydrlxoYqAY6AfcA3XzzzVcYPAvfdAoAACg2WTuLLbbXoorFVt8muPeM/Fm54VjyicA98IHR7lTklivbaT7tpFtwL9UByGh1LrhvyOuXqgBkYBa7AfeexZiKRGDpMaiYTM4PUGWjbf1EkHbgPi4Lk2YUp+o064G1lEoF8LvwykkpQJ4UH6kRCe47HWWTe24y4B5gBYIdX9m8AI4DC6C6i0H6VQgnVkRpPPAqwmZ8YeKJsWCPhTQz6WQhWPE4jYeDGGKPjzQhG8zj2Mz4XafgXmSNQ+skoGibv8159eLksicclfppP76jbRwCDD5nn5jzjtJkHz0vIoUU4YBEClGC+8mN3XyrMw0kuO9MT/lUamBWaKATcE8RADVmSxi+nheLUcNUxSLXb6VJRwEG6uHu+KbcVyk1NvsBHE1wz0mRxiItQLpBSDD3wDFgYoG2eAOj9TQkgED7pbcEE11vL6ZbWQBP/Yi+uP1WvbsB9xhwoAawl28cJ+f4JuCAZRSJ8Ad72DzDXloAkIINbcXcO9M/QJM0GY4PwAMgiQLQY9OJasXcA0MAjT6RvlA/exxzKa/eqUNy+kUCOBEAkvQFDmOC+37PmqpsiI2ISidfs29EDnykzjTfsWEaoOXQxR4NzzjJyl4JG8TbiWeMkXBYpbE5mx7rXT8jHuC3ARWQ5xDUxXiW3iL1qy7GkvI6YcY5LvXnpBph8+0b8XO/b3XjMrsgyhWX5fk+O2qMB7gXVaNv4D7EnN1kk02KA0G3KamBXmogwX0vtZllpQZGXAOdgnsslZxpAFbaCzAnfcIivu+++5b0CwubTa7+7zSYfgjQIa/VqS42WsYxnFJugEgb2uIkCkCbIyKs77QbIpRug6g6AicYY5vbABRAwQJtQRcBkPstbUROOvbN8X3aieVuJZHOI0UFKML8ASzAfRwhKA1ASoGQvT0DdaFXZatPAHlgWWqAnF7G27vailGX4sKJ8Ht655z4uTbZXKt87xBgSJv0l021HAKgX4qMlCtgJi4Mkl4gvQIz2hTpNAA5R4UTExKXB8n71wZ9A3w9+eSTJZXC2JGOoJ4cB1EBrKx6+J4Td9QX48lh7PYisn6MtZlUZjfgHtDm+BlD0meI8eGkJOPfvhOsujEqUgMMA+tYcPMPs24uYao52CJPImDGoNQ5G8A5jsHSY8eB9+ZpObFHxjzmRMQxtMawYzGNkziJKfqKA2m+2+PRBOYcZHU13uoRgno/t9pQW/+9fSXGbn2Tud+rizabr9KVOP+ibuZ0SFwkp+6DuCxvJo3fbMvEGkhwP7GO8onUwKzRQKfgHgsF5MqPxtQCp3JlpbfERjuA2Ukn/QRn0lAAZQu378oLBiBtqvV/jGIcW8cJkHIC4Ku7xRZYsbhbXOWxY6qBCA4BYIolxLo5BQjD6MjNEIyg8tud1KEc6TEW9MgnxoZj//2tjjbDCt8TrDlmkmNhoykmE/gHegFov8ecO6pTfaUkEYDez7CAxKk8u+yyS9GLfrKpF8DQ9rgQSMQiLigCvnwT2IpNrfTCmVEHTox0h+ZlYCIesUG4Xn+ngmg7fXFwACviZBDtMlZEVIBCgA8AVEeODzDkLH3PaJOfqZvUHacapfRGA52Ae/2mDzjCHD5jKZhtfzvqUXQoNqwbDxxKe0ncjwDci2pxMO15iY3pIjScAPsobLQ1FuustznMIbW5myNYF0DaSTaceEDemFUHG+Pj3HvPY9nl4ht/QDSgbfzIcQ/nRNvMKfNEHVqJMWz8t2L+OcLKsL+n1SVU6sn5VUcOOEKkTnJg641tjorIYEpqoJcaSHDfS21mWamBEddAp+BeMy3CmDcLl4UeuK/npFvYLMYW8YnOfJ6s2jDY2EN/Y/SAcCBEWpD6CK0Tx2ACG+oBtAAkcQqMozSlDkROPfAhCgFw1vOHbSr1nL+9D6C3CtPX26IudEQXnlU25pI4lQdACN0A1BhELLjwvboDRepL15yMABHykeXHE0CqufFQTru6SpvBGooa1C8X83Pgwl4Ezg4AItLiO5w14Iqz4/eeA6Sal5M58YcD0Ky/bwGP6u33WF0OkDLq+cr0QgdYfXWIPGssvW+qo29yFIwrQDGlNxroBNwDyMan1LEAxPWv65O40yB+Lp3LuNP3HDRsfuSwm2fAvHlmnHnfHGt1yg2Hk9PrhKqmmH9Yd068sWdONW+mVT7H37gzh4wh34k5r0zjSzlSf9o56BwHdqXV3hGOt3Lbsf7moPpzYH2jbhs5C5wGJ+w4qavd93vT21nKbNRAgvvZ2OvZ5tRAGw10A+5TiamB1MBoaqATcD+dLeMIiFhh3x25O9OE8yOSIOKgnSmpgV5rIMF9rzWa5aUGRlgDCe5HuPOy6qmBDjUw7OBeM6RkOaFHmlY3p1R1qIJpewxr7wQv6You/EpJDfRDAwnu+6HVLDM1MKIaSHA/oh2X1U4NdKGBUQD3miNVTPqXk5dmws3ETsjRJvtlxjuqtouuzEdTAy01kOA+B0ZqIDUwpoEE9zkYUgMzXwOjAu71hD099oC0ys0ftZ6Sf2+vQKubd0etLVnf4dZAgvvh7p+sXWpgoBpIcD9QdefHUgPTooFRAvfToqD8aGpgxDWQ4H7EOzCrnxropQYS3PdSm1lWamA4NZDgfjj7JWuVGuiVBhLc90qTWU5qYAZoIMH9DOjEbEJqYAINJLjPIZIamNkaSHA/s/s3W5ca6EoDCe67Ulc+PI4GnAoSZ5ynooZLAwnuh6s/sjapgV5rIMF9rzWa5aUGRlgDUwH3LiFyLrXbFnfaaacEdgMeBy4Me/Ob31zpQzdrToc4n/zLX/5yqYPxkDKcGkhwP5z9krVKDfRKAwnue6XJLCc1MAM0MFlwf/PNN1cf//jHq/PPP7867rjjyhXx/WZtAdlrrrmmaN3pE26DjNtfoytOOOGEar/99qvcFqk+Low544wznvbcDOi6cmTglltuWXS/1VZbDbxJjvk78sgjq6OPPrrcUIq5TxlODSS4H85+yVqlBnqlgQT3vdJklpMamAEamCy413TXubtO/qCDDqr23nvvvoN733SdvVsef/zjH1frrrtu9Y1vfKOae+65n9YTiy66aPX5z38+b4McwBhdeeWVK87ev//97wF8LT8xGQ0kuJ+M1vKd1MDoaCDB/ej0VdY0NdB3DUwF3D/88MPVMsssUx1yyCEDA/cU8tGPfrT6+te/Xvn+7rvvXh177LHVs571rDl0teGGG5aIwuKLL953Hc72D6y44orVrbfemuB+iAdCgvsh7pysWmqgBxpIcN8DJWYRqYGZooGpgPtHH320WmqppQYO7nfddddq8803LxEDtz+ec845JT2lLuuvv34B/a95zWtmSlcNbTte//rXV7fcckuC+6HtoapKcD/EnZNVSw30QAMJ7nugxCwiNTBTNNANuH/ssccKkL/kkkuqv/zlLxV2/Lzzzqs+8YlPVB/60IcGkpZD78C9HPOXv/zl1ZprrlkY/Ntvv71adtllx7qlFbi/+uqrq5NOOqm69tprq7/+9a9lE6gowCOPPFKclD//+c/l/VVWWaU4DU899VTJ3//sZz9bPfe5zy0pQa94xSvKt5RDD26f3G233apDDz20mmuuuUpdTj755OpTn/pUddVVVxUH48ILL6xuu+22arnllptj2PzpT38qaUW77LJLdfHFF1fPeMYzqj333LN8x1X1n/vc56rLLrus1POmm26qNt544/LdhRZaqOwpsP/ARmZt8B65//77Sw78N7/5zeo///M/K+lJO+ywQ/Xe9763+te//lV96Utfqo4//vjqt7/9bXF8RDbsnXjpS19a3tc2i8TXvva1kke//fbblz5/4QtfWH4vr/6YY44p5RgPb3zjG0uKlFtFMy1neK1Cgvvh7ZusWWqgFxpIcN8LLWYZqYEZooFOwf0f/vCHAqhf/epXVyeeeGIBck7KASQHtaE2VA7cY+rf9KY3VRdddFG16aabVvPNN18Bu6985SvLY01wf8UVV1QHHHBA9ZWvfKW04dxzzy3tUX/gGEhfZ511qv/5n/+pfvCDH1TPe97zxnr4bW97W3X22WdX888/f9nE6/vavNpqq1VXXnllee8973lP2bgLxH/wgx+sbrzxxuqTn/xk2chr07EoA6ehLnfccUfZF/DFL36x/N43V1999aJf9fvIRz5SLbjggpW0l+9973ulvMMOO6yA7Xvuuae6/PLLS1qSMtRJn7zvfe8rTo42Aef+D4Crk7p5Xn3mmWee4pideeaZ5fv0x6lQzhFHHFHe4eCstdZa1c4771wcHOUdfvjhFSeJ80Af/uZg/PGPf0xwP8Q2IcH9EHdOVi010AMNJLjvgRKziNTATNFAp+Dec0Ck4xef//znl+Y/8MAD1ZJLLllY6kEz9wHu1ePUU08tAPMNb3hDYbrVrwnugWRsMyAesthiixVQi1kHwv2NHce4O5mHXHDBBYWhBnCDyQ4wH+UA+TfccENhzTH7nB6nyGDbpaz84x//qJ7znOe0HDLf/va3q3e9611zpBYB2UsvvXRh2zkMIQsvvHCpFyP+7Gc/u3rwwQfLngf6Fz3A5r/73e8uzL6+IhwVLL1v/OhHPyqbkO+8885KWdpz+umnVxtttFF5x6ZogF39QzgtHBuRDhEO3+NErbrqqmPPrLDCCoXxT+Z+eK1Cgvvh7ZusWWqgFxpIcN8LLWYZqYEZooFOwb20FCkegGfIdG2orTP3UZcdd9yxOu200wrIx0TXwT0QDMg3BRh90YteVBhqTsrvfve7kmr0kpe8pKTJSEH5zGc+UwCxlBrs/mabbVaYa2CJOG4T208i93+fffYp7/3yl78ciyS0Gy7ScrbYYouSKoQtJ5wEEQhHXIoQhEijWX755Qvg5yz86le/Kv/nSNAJ0XZpPtKMTjnllDEQrr72SKy33nrVvffeW97hPLzgBS8o7dQOjL9oQrRNeQHYr7vuuuoXv/hFqRMgHxESz+SG2uE3Bgnuh7+PsoapgaloIMH9VLSX76YGZpgGOgH3QCTwKz8b6zts4D7AKRAufUWqCKAfG2qBZeCeYzLRBlssuPQdwFwOPGYbk/1f//VfBdxL0fn0pz89RwSgOSSmE9yri9QhufI//elPSyqQS6akIhFsPUfAaUMiCpyBbbbZppw2hIGXu++o0VbCGRDdcOxl3VlKcD/8RiHB/fD3UdYwNTAVDSS4n4r28t3UwAzTQCfg/m9/+1vZLAogYm/jsqpg7pUx6LQc6SfBdEeXYN4x9hyQRRZZpOSWL7HEEmWz5wILLFCAq02qdXGrqjSeOCufIyPvXdoJkCuXHKgl9h284x3vKJtPgeO60JH0HYz2dIF7wF1bXfBFvvOd75S8fW3DtkutsYlXipJ+lFtvD4I0GxuTRSfUn3NUZ++lX9lQy/E56qijyrGXIgYhCe6H3ygkuB/+PsoapgamooEE91PRXr6bGphhGugE3Gsy0CyfXUqITZoEkw3wH3jggQVEEqkfP/vZz8ZltqeqQqkha6+9dvX2t7/9aUXZNGoTqAu2pJ+4ZIvIYcfGa6+6OknGs06FwcxLzwnZdtttq69+9auFpcdUe5ZIv/nwhz9cTpuxQdXmVjn7QD9ng244Efvvv39h96UDOdFnPImc++uvv75s0CVunpW771vSe0Je+9rXFlAtmiDnXkQi0nLUh4OhbpwSufPkrLPOKs6J6Ib26sPIqX/iiSfKPoV99923ktZ08MEHl5NzOEE27dp0y2GhL5EQjL1NzPLwlRuSl1hNdUT3//0E9/3XcX4hNTCdGkhwP53az2+nBoZMA52Ce6y4nGxMNgYXu+1IRKe6yMWX6w40SvlwFKS8dECwH6JcG0Kxzq3Et9/ylrfMAe6dLoPFJ/YPEHnrTotpOgnxbJxCU/+GaIWIAeDufaAJqGZYpcIQzoVTdKTDcBTGE/p3Ak39fScAqZM/NvQSTpOUIuy6n2HSbZANcC6HXpqNOohGcE5skt16663L+/5vgy8HgkNj74DTdjhq3//+90valQ2zG2ywQcm71zYRGpt06Wi77bar/vnPfxbgL5d/k002KREKdVB/44LTpf/z4rB+jPqplZngfmr6y7dTA8OugQT3w95DWb/UwAA10Cm4VyWnrgBwwLM0Dsc3Op4Rqx+pKxhdxyYCjHU2vBdNuuuuu4qDAbRiouXBA/ive93rnla8egGwdaCp/sApBhoz7nz++qkv9UK8C5yHI1D/nfPwpbQAyZh735LvL1qANXehE2ZdCowTaOTwtxKMOOAMqAPRogu+G5EEYF3OvNNs/MxRmQA2kO9UH/r3ffXhcNicawMu5yA2xoooiCKoD6cFwy8yAIxzdjD90mpC1BmD7wx/6Tx0BPCHOCuf06OPQ//qT8QpswAAIABJREFUwdnjAERKUC/6O8vonQYS3PdOl1lSamAYNZDgfhh7JeuUGpgmDXQD7qepil1/NjbYdv3i/3thqu9P9rv5XmqgXxpIcN8vzWa5qYHh0ECC++Hoh6xFamAoNDATwf1QKDYrkRoYIg0kuB+izsiqpAb6oIEE931QahaZGhhVDSS4H9Wey3qnBjrXQIL7znWVT6YGRlEDXYF7Oao2Tjn2TU5oSmogNTBzNOAcdznazjdvHis5c1qZLUkNzG4NOOrVKU7Wc3stUlIDqYGZpQGHHzjcwjyPgx3qLfyP/y3ZtCaPP/54OffY2c5PPfXUzNJGtiY1MMs1gM1z0ZEbWZ3dnpIaSA3MPA04ytXm8DjxaOa1MFuUGpjdGgDuXdL40Y9+tBxV3JSngXsXovACnJyQkhpIDcw8DTjXfI011qje/OY3z7zGZYtSA6mBooFMy8mBkBqY2RrgwDtNbYcddugM3Dvi7rvf/e7M1kq2LjUwSzWQOfeztOOz2bNKAwnuZ1V3Z2NnoQa6yrnH3Ce4n4WjJJs8azSQ4H7WdHU2dBZrIMH9LO78bPqs0ECC+1nRzdnI1EBnGkhw35me8qnUwChrIMH9KPde1j01MLEGph3cj8IFMb/4xS/KKSLvfOc7q/XWW29irU7xCVfLn3766eWmSLd9jrrI+/rQhz5UbtQ8+uijR705Hdf/b3/7W3XKKadUiy22WPX2t7+9ssll2CXB/bD3UNYvNTB1DUwnuO92zb/yyiureeedt1pmmWVKwyd6f6Lfj6e9qbzbSa889thj1VVXXVVtvfXWnTyez6QGJq2BnoP76667rtp0003LUZnAzF/+8pdyNfuGG25YroV3RTnD4rSdF7/4xdWvf/3rUnmndCy33HLl90DRgQceWNncN53yP//zP9X1119f7bvvvtWNN95YnXbaadUHPvCBvlXJ9y699NJq//33r372s59VOqfVMUZ9q0CfCv7rX/9aLb/88qW/6XE2iHYefPDB1eWXX14cmg9/+MNl3A+79BPc77HHHtWJJ55YzTXXXMU2/OMf/6g222yz4sg+97nPLZt/9tprrzLun/Oc5xQbssUWW5T/+31KaiA10BsNTAbcP/TQQ9Wee+5ZHXPMMeXUvKb8+c9/Luu2+fq//tf/KnPbs47ja4qfW1et98QxvL/85S/LSV11YTtf85rXVBtssMEc9vMzn/lMtd9++429/8xnPrO8P88885TX3/CGN1S33XZb5echgLv/wxovf/nL2yrynHPOqdhB7fXdz33uc9XCCy88x/OOA99ll13KmmYPIgKnKf/+97/LaSXve9/7qmWXXXbs17fcckvBRN/5znd605lZSmqghQZ6Du59w6K9+OKLVxjoQw45pPwhJv9WW21VTtvZZ599qqOOOmoOL/wPf/hDte6665Yjunbfffdp67C99967OuywwyrnAROAe6ONNqpOPfXUgYDta665plprrbXK997//vdPmx7yw1PTgDOkX/WqV5VFjJGf7eCeNr/whS+URfm///u/yxwL21DXNBthzp1xxhmFKEhJDaQGequBbsA9su2rX/1qISnuueee6q677qqWXHLJOSpkzRfVBsRPPvnk8rtPfepT1de+9rXqsssuqxZccMGx5819zsHcc89d1n9En8jmSSedNEeZX/nKV6p777232Ii67fQ+MG19jvc33njj6vOf/3x5HyhfYoklynG+SIQ40Zs9XmmllapvfOMb1Qte8IKWChWhR1Aq78c//nH1xS9+sXrta19bHIIQYF5bfYdegCjR/WZk9qKLLqpuv/326mMf+1hxXupy3nnnleNI6cfRpCmpgV5roC/gXiWx3DvuuGOFrTv++OPH6v3973+/AHgAupmigeUH6o899tjiEU+HPPHEE4VlNpmjDthX6TFSLAbBpDMeGAM6THA/HaOgN9/k3C699NLFuCe4//86FcWwiJpLDFBTsPW77rprHsfZm2GYpaQGnqaBbsB9vPyDH/ygXG7XCtwDwtZ1EeeFFlqovPK73/2uWmWVVQrI33LLLcfqgP3fdtttq5VXXnmOetVTYh5++OGSBgv8IgrrAlM4u7vd+0ceeWT1pje9qVp11VXneE/UUJ2QCq3EpV533HFHtfbaa4/9mu1WHicDUUM4CCKJ1157bfXAAw8Uhwbb7/6fEGUddNBB5d12WObd7353OXZ4t912yxGaGui5BvoG7oXYeeavf/3rKx5sDHAAHnD9yU9+UmHq616rXDQerTDYdMknP/nJElqs398FbEsragXu+5GjRw9ve9vbesbcT7WOU3lfaLLOujT/P14/d/vdTp/v9Llm3bp9z/jGUM1UcN+tPkKf//rXv6o111yzuvnmm6uzzjprjvzTM888s3JZnsheJzJRHSb6fSffyGdSAzNNA5MB95E663IcgLYu2HkEGAdg9dVXL79yup55fsIJJxTgT6TKrLPOOtW73vWuMu/b3YSNGceEi+DV5dZbby3vS/nZZpttCjhuilTfcDDid6ID6iDltQ7e6+/GxZz1VB5RCPabTXr2s59d0ozZdN/91re+VSEDOR/SeKQUhviGzASpyO1EBAGZSZ+RTjTTxlm2Z/o00Ddwr0mYOaH1733vewWsEp4zoHzTTTeVhb1+exaP3ISXL1cX4NoEwwowFt4zeQFFkQBAANvPi/7IRz5SwnO8YiK0Z0JjUbHgnot0m6bapQuYkMQEtwH04osvLrnA6g/cY/W1i2duQn/wgx+co5grrrii5FdjN1ZbbbXy/Wa+XvO7QCCHgiF5xSteUb3lLW8pepOLXGfu6YwB8feiiy5avs/A1Q2YXMZPfOIT1bOe9ayiZyFF7QrRF3R09913FwN19tlnjxlCxq35PuZZWkk78Y66HnrooUUncqUtHMK08hrlQT744IPFUZGnKKzLYAeTI+Srr7TVO/pfHQHAcLAYa201WJWJgRHGJYyuNmBJlKV/Dz/88GqppZaqvv3tb7e9adUY8A35oOeff37JiQxGWbk2cekHbVK+/Hnl04/y6YVxr9/kKs/U+PHHIoCh+tKXvlTGX525t0DpR+Ff+0yMEf1kz4V8TM9b3DBT2CttsyF5EGk97XLuhZex6T/84Q/LeNEedZqs0Cvd2SQnTc8csdmMnum3HsaPbzzyyCPFDtD7C1/4wjJf6CeEHvWhPR7AA3BA/ympgdTAnBqYDLi3/q6wwgolqt0E9/bHmLMvetGLyj4jAJi9ZsvZdvtsrNfyz6WjEHUA1EWo62D8vvvuK+9bx9mcEO9L2TXP432A3drSBPPN/pY2Y81ge9WlE2HDpefsvPPOc0QefEtUgB2CZ6QA1cE9u/jWt761vDue0COs881vfnNGHJzRiU7zmcFpoK/gXogLaAJcgT+AGeA699xzqwsvvLB69atfXXLSyJ/+9KcCbAHd+mSW84YVYBAs1kJfQnbCgL/61a8KkMX2C23NP//8ZTG3sAsFytUzqU0e7wBkQmrq0A7ge3bzzTcveYCRJ8dAAcrAmn0DohHYCEAV2HGqDeF0qC/jxnABz/IDAf52G3jC2cF2SFXgoGijiV8H9wwgQKjdgGCkPWm3SIe66kxAFPMP4DCEwod+RugmDK7/+ybAqr4ve9nLSpnCoBymeJ8h1K5WQkf6lrG1gZTRY6yVp+/pG7CnU2CQQ8Jwk2B6sD36LyI4+l/IlsG2WNx5551jmyoZ1E9/+tMF/Bo/ALA6A4QYFO2jN5u0PGchoq+mBJsrZGpc3nDDDcVpIxYUbIo+d0trlP/kk08WJ0a76NS7WJnYIAyYa6OIFMeAo8Jx1bb6hlqOhLFpDGqfttKPcjlGHDF94OccD0yYcY3lqTNK/TIRrcC9RR0IB6Y5s6Ej+fMWvsnKBRdcUMa6ecUp43QK44djXi/XvDAHP/vZzxZH24Y081vOq+eNWX9z9giiwBgTTk9JDaQG5tRAr8E9m2o+I2esKezq/fff39K5ZqvZSXPZHJX/juVn/whbgLDj9AfjX699vG+9RPx5H1mAWW8nCAM2xJo6kbDlNrtK35lvvvnGyMR4T9SAkwB/IGjU8eqrry5kDOLK+qcNyB7t4pSw4dG+KAdpZQ2znkvrSUkN9FIDfQX3AKKwG9YcqAPgIh/OZANc/AGS/BzgtgM9BJNnQx0POZg8i7iQF3ANhAFX2HwTEasHVJlEygUcgLIQjXUVrzQhQKGVALIu6vr9739fWAgC6NlQi7EHaAjQCIjECTpAKfBqwkeIDTuO4WDEgI0m88qIqLMTeTgJIVITMBwB7gEUBgC4rDP1wCQmmfNgA65vMChRR0wnI+OP9sgZxKRHihTgDIBjwjkJ3gfYY0MUh0jdfaOVMKjKBEixy8RmYP3DOEtxCpGi5SQEBj/Atfc4BvqKY0eAXiyQdoqYOJ0I4xJMPzYF26FfjSvCQDLyyo5y5FyKnuiDdjmPQDQ9G0MB7vU1Y12PNoXDYnFYZJFFyjeNOY6jbyhfnxlbngkWyb+NCUw+4GqMaIdFKY51A+o5WcYqB9Y8UXeMvnFqjIgwDOq0mFbgPhwqC5VFysY0falvOLOTFf1rvhvX5oE+FR1rJfrcvKxHysxP/QYgOD1Dnxl/IfrNz1JSA6mBOTXQa3AfpbNtyCakjtPuEFIi4O0knHqOOUedWJsBZLa71Sk09bLifU5FMPqtvgWkA+yRMjTeeAC61ZstBuLZcHYkcu45F1h5YF4d/dwaav1hK2Eb3/Nv7yHerEvWVRH1EGvyJptsUggsZaakBnqpgb6Cex4rcAjYACrSHEya8Lh5wFI+AHvMMWBcz8GPXemYcqwl5t6EAKoA6x/96EdlMVcuJrcO2AEP4M27AK93gVETFtMLxDR3sFNsO3BvnwBlARhExAGw0D5tCkBe38QDlEmzMIHVpcksAEmeF2lgEOqRAt+L03IwvQcccMAYGx4DAOiX74fJFsEQEWEkpfLYsAxAAsAcIwCKc1KvH3DFePm+d6XNMJKeE1qsv99q0AH/IhL6L9JOGDuOBj21A/dRlmc5F4ygdAqOhRMThDRFfLCwoh/6Pk43AHalJZEA8wHu6/sktAmrgnVmaFuJiIZxUgf32CLjqBW4r5fP6eSUAefKB/rV0xgO4ZxqHyeGfow90SoRBWPBmBQJUkeifP+mP2NKnw9aWoF7Y4gTo17mnkiEuSBkHidUTLaeFjb6BgbYi1Z3ARgHnArjEVAI51DERZTGXPSMhduiy7E0buh7InAw2Xrne6mBUdZAP8A9J9uctCGeHffHOgDUjkdOIG+AecQcAZatLYgouGAiQbwhuOL95vNwgm+IkncjbAr7Zm0WYbY2hPidckW2ET1AO3tt7UJuieojJKT1yhawfvl93aZHSqqIR31t6aaO+WxqoJ0G+grufdSmOeALg29gm/CAJpE3C8QJ7QNY9VN1/B5jj5E3QTxb3xwHCFvYA9xLd4g8bO8yMMAzkCY1hgRw4EC0C+GNB+7rG2ptDALSsBTSChgw7cNu1vPFfRPoa2XcMARyjRkP7wa4b56WI69Y+5obmXj7GH3GBWvBYItsAPeMj7QSgB2zzEhJYwDU2tUPuGYkgXvvc5qA/nbMN0fLvgJpSfSm/sKtgJXwpO+H1Jn7+Blj7EQlRhLI8026CPaWLtVBlIYzFwYw+pFh1eZW4J5DBXwr1wUorWQq4F6fqLc+4SRhZgB8Rj2keVoOZwxANibr+zCiPXQU4F5UihM6aGmXc29hFOUQFeNAikBEis5U6miOGr+cpHYLnAgIkC7CY85x1mM+0x074G+OquiJvzkCCIXxzrOeSr3z3dTAKGug1+CefbAOSC+xJrCJsf8NseV423YiWisVFvkmIiiH3ZxnLzuZv3CC9T7eb34HiYgEq5NN3fQdW4IokInQTjg2Ts+Jb4haiESIyMMu8I/1UfpOCHBPL4jJBPfd9Eg+24kG+g7uAThACGAFuKRvxA5yjCbQKbxugvNw6wLQAhRyyCNtIn4vR5833A7cS+uwuAPA9VAYAOtPM/8typ0suAdIsd0AX/3CCuWaxMB9k5UMcA/Y15n7JrjHwosQSNuQix2ibQwhplIERMpKnP0rlUa5Ihf0x6FibDlR2OS6qB+AhEWOs4fjfX0SzlWrAYXNYFj1I1CvHRhYkYx6GlIrcK88hg3bygnhhHEkjBPCWNsYy2A2c7sZWn3IYE4F3AOD+izGF6dE1GQi5r4O7o0nDJM/2KaQJrj3O/1lzAK0dQFyLQLDCO5jf4S8fwuldC/OjD6ZKnPfCbjH4nGcRIiap+iwL+a38RD7aMwTc4Zwwifa0N6JocxnUgMzSQO9BveieVJUkXlsPTEn2VJn4o+Xvme9k54X+7GsnyKE/kSa5Xi6Z5+kldajpnUAzS6zA51EAVp9B4mB9Krb9vpzCB0gXZQ+xJ4De6mAe3ZJqqX1jQNQ14/34JQE9zNpdg1HW/oO7jVTGg7wKT1E+D0kcr6BTTnsTXY7ctblI8utixA7dhoIihNHMMRAIkMSUt9wirGO1Iy4wMKmvFYpAJFeE4CcgQKIY1c/Z4PEsWCRrx5MvjqoKxBHAGuXXXA2mhsiOShCeNJLpD0Ew2xDpu9FWo5QJzakGRrEbjCcjBsdANY77bTT2AkuWALtZHABbk6VECbgHmcH0yUnw+bb5vvqLv/c92PTcHPY6ge5jBwLoE8okjFstpVB074w4FEO/QplAvIcEQYxhLMhvUbaBcBGVxYlerORVzqPNA06B8qbaTmY3vGOGYv8emMvHEs6p8M6AI8c/GZaDsNtDNtjgd2xuKh/jEM55PTMiTX+gX259FJzOIPhZGGoRH6MG/WN9LVhScsRNdG3cZu0dhrfsZmbXvzRDgto3DrZiYnTx5xC82m8Bc7mYilZ5mcckyftCVMoUiW6Y6GkWxL7HURn6vtUOqlTPpMamOkamAy4jzUPmI15FnoSkbd+iNzWT64RBWb7RbiRIKKzzZOwsPbSd6xNhG3nyFsH6yRIu/cRDtbleL/ed9YmNgC73xTRBXhEGtB4J5FZW62Pre64AdjZH/a8fpwlXMCeI45gD+un9c9aHYKck21AP7k3aKbPuMG3byDgHnDDnmGf6xc2ANCRoyb9ppkDL/yODWc4gFjsnQlpQjmFBJCI020APSAqUnekngBJABgmQHjPhkbMMBah1ZXY1B/MvRx29TGpTUi52YxXbBwFfNVdLnVcxiUHGUhzjJf6YhW1EWCUPtMUdVV/zLewnW+qnw2Y6gFw0hlgL0VDqE8d/Juhwx7HZk6OCgDJ8AJAohraqSzgnIEBuv2sXj+bVzlCNv5iRQG0eN/GXBsV6bBV3jrWFdCiZ86IOmCfGbHm0WRSaIRc685d6IMhtJk3Tj6p60k+onYC8cA/tl4d1RUIp0MOBQesDg7lXwPK2t68TTHKB1aNIW3QdxYv+tAPogn6FvC0cUqef718fcL5VD6gKxVEPYwr6WXGHF1bpKSSSLOxAPm/zaPGsgVSmZhp/Q1EY3YsUv7EBrNBmoVWaTnaZZEyRy3MGCzt4JzYD8LpsoiKDNGZ/ROdCrbLAsfx4bS1O8VK9IhO/N5CiQjwjjGA9eOwSk0T7dOnFkv9agy06/9O65jPpQZmmga6AfexpsbpVlI1rVn1NNm4sMqaKJon7VUevbWK420tYy+dIIbgYO+tF0AxmwnQhyCjPN88javV+2ystaYdEeJ79vQ004LUnc1lq9gNtgJBZw1lpzkcIoIYePbZut68SRZh5nn2CzNfF8SDdjrBzVrAJvl37NnzLJLEe+xmRBpn2jjL9kyfBgYC7jUPgwwA1HfOmxzSRYTe5CK3EiCdsTDJgHpetEkPUNlICtSHmEBY8hDPS+kAvn3LRAcC2uVge8/7NksCenIFscaO3Qth1LCN9cs1/F5dOCMmsAnvGQDQ/5ssR7OdognewTZyJgB97QXkGSVMKGMkdcXPGTmGg+MTkQRlcm44PSIB2stwMH6xyx9wpW/PYdoBV/+P3zffp+twBlr1DceF0xPHeFkwGOwA+ZgX7AR9cgQIgG4c1FMl1JXzhR1uJYA7AAdAh3MG8GPGAeJwGDgQwJ5FJTapKq+eYlMv39jiWGi3DZvaYR+B8eJ7nBbANso3dpUvjIyxD4nTitSPPvztXQuWxUPkCaAPRjvuXrBoMPycV86In9fTrswLTgWnaFDSCtwbl8aSuSFaxuHTj3RlHnBcbV6O+xnqd1eMV28LPP3XxYZuzmYzimf804U9GuYmZ5PjG8dmsgP6TwTMPKRXxq1dxGlQ+szvpAaGUQPdgHv1b0a52VprSF3YMzYPYSXKJoKJKJFaSawX1knkh+8DuoAtYqnJnLsDw/v1oyu9z45yFuJ9ZALnvRXzbh20frILTrxpirVSCii7wp4hLfzf2gHYwyzsuYh5qz1zsgXYInVqEpPsleiv961rshfqZ/ariz1hnKFO04+GcRxlnYZXAwMB94O8JXKQ3xrebh1MzUQmpMsAoRwrhk6aDcMI7GFghGk7ley7TjXVv+fabajt3xez5NRAamDQGugG3Lezy/201yLjCBaR0TiSetA66uf3EFoi8bIakBT1fYH9/G6WPXs0MBBwP3vUObtaioHBTrTKZ8TqiCrUc+hnl3ZGs7UJ7kez37LWqYFuNNANuO+m3F4+K1VFVLmeytvL8qezLBFtkQtrqDTZlNRArzWQ4L7XGp1F5QlXSlERGpXCE6FbG1ntCRBybXfG/CxS00g1NcH9SHVXVjY1MCkNjAK4l/YnBdChCjMpvc7eP+ma0hLj5MBJdWK+lBoYRwMJ7nN4TFoD9jTIyXcSgs2pwL0cdcdL2psgLzNltDSQ4H60+itrmxqYjAZGAdxHu6R+2rdWv4BxMm0ehnfsX3JAhxN22t21Mwz1zDqMvgYS3I9+H2YLUgM900CC+56pMgtKDQytBkYJ3A+tErNiqYEh1kCC+yHunKxaamDQGkhwP2iN5/dSA4PXQIL7wes8v5gaGKQGEtwPUtv5rdTAkGsgwf2Qd1BWLzXQAw0kuO+BErOI1MAQayDB/RB3TlYtNTBoDSS4H7TG83upgcFrIMH94HWeX0wNDFIDAwH3LrRwwYVjn1wQ4XhEN026lMLNcG41dZHTKG0w0Sa3wbpUyqU5Lrwapfp3MshsmHWRhwum3JY66LN4XXx10UUXlUu94iQei5LzlZ0TTPzbrbX+2MA7UR1dLuaPPlOmd4y/5iUkLsiqX9ISl3P5XtxU62euDnc7o4u5HNlWv6StlY7V++qrry6XvSy22GLl4qphkia4V19nTqvv4osvXm51nKwoi67cj6Af3fjo8rCmOE3C2Iu+fuYzn/m0K+snW4d8LzWQGqjK3Aob2ok+3Azv+EZ2k810mWDTZirH3GY7nZbmfPp2N06zoXfccUe5wMkNr+y3d7zrckFlu2W9eSgDm2xdqN8W7rtssUsC1Ws88S7bQtj9Zv2s69qpHePV33PsVFwwSJcuxVJnl/m1ulSrEz3nM6mBXmlgIOD+8ccfL+DH7ZZ2vANsQJBJ7HZOt7+5yc0iPghhVNyKN5XvMQAXX3xxuSXWLXPA76iDe9dhO7oSYA1D7QZRRs6Z9a2Meb/6Cwj81Kc+Vbmx1O2BbiJ1SdbPf/7zAgrdmMrwcxD1429+85vSD+rpxtSmGGtu+HWroIXKYsCAa9MKK6xQ7b777nMAzbi1V1kcBt++9957y7jxJ25M9ZwbcX3fTYWOBV1++eXbqsVtt6eeemq5uXHnnXcuty0PkzTBvdMd1NdNz25YdFv0ZMXCrBz3InCMjSu3B+vfupx99tnlZufvf//75XI0N/w6kSkXzMlqPt9LDcypgW7APZvFFjsRDQC3nm+55ZblVvW6sNlIAM8Bv4C2s+pXWmmlp6nfzbOeO+igg4otVq7ykGRsKXEEppunwxb7GfvqlvlW4mhJBGI7gTvYFXUD8q0jLpKK+rHpbsc+99xzy7qgXp53W25TXDylDOReiPcd3QkH7LnnnjnkUgPTqoGBgPtooWMSAaVLLrlkQoazn1rZcMMNKwBiqjffAYzvfOc7i5FgEEYV3MdNg677drQlQDWdoj4A8rHHHluttdZaBUgztMD1sssuW+k/QD3AnsXGmNppp52qeeedt0SGjLUQrIrFyPn7Brwz+bE85M477yzvuVkX8+K2XbLMMsuU5zEx5OSTTy7glrF3+QgRhRJxsuBwiNzGy9gDw60WhKiPxYuOObTDDu7V+bHHHiv15YxMBdxH+zFndG7O0PMVV1zR8j4Ejtrmm29e+jslNZAa6J0GOgX31jj2crXVVisA3/otkodIOfjgg6vDDz98rFKccLba2ooRP/roo4st/PGPf1xY8hDRPzb6ggsuGPsZwI642WabbQppA4gD3ptsskl15plnFvv66KOPFvu63HLLFXsU64I6shN33XVXteSSS7ZUkt9tvPHG1QknnFCyBUQgnDWPlLv11ltLdNr3rTfWgZVXXrlErbXbN+vEgrtd2H2OQFPUSZ2Vw9lISQ1MlwYGCu5XWWWVAoCnE9zfcsstBfgBLBOF8CbqFIAQuyCkOMrgXjtFVpy9K0zaKlViIl308vf77bdfdfvtt5fzgOviqm7gXtjT2cfNFJzrrruuWnPNNcszgHZEZj74wQ8WpwVA9++mYJEx9G4KZOhFko444oiyeIVghESeTjnllGrHHXcsP/773/9ebug1rjmKIgJ+J33lgAMOaMs0P/TQQ+VbowLuMXfq2ytwT3cWcwutsi2G3/72t5/WLxZVfS1Kk5IaSA30TgOdgnvrwqabblrdd9991aKLLjpWASD8+uuvL0Dfz/3bPAXYkUSEXfUzjDwGn7DhSy21VHHoRUxD3I1SB8sAO/CNTFCOc+5FEa3bdeLG+9YJKZEiz+1EBNjaduONN46tCwC/+mHZRRBEYDfbbLPynAi26KrooTZF+o5Uoc2pAAAgAElEQVS0IeSOCHCkija/edttt5U1QTlBFvWu57Kk1EBnGugruK/n35ksJhIgHOAeo4rF8zdwZLIImUVO9DzzzFOMAYcgfi985+Y6ZQN3nsGc10WZQmYk8vAYM2UBdzxz4FGZmF51aify6qQT8MhNcH/Ciw9wDwwKJ3oO4MM8RH2j3D/96U+lrZEbqO6R/uIZwFC7GDV1lssXxgPLEO8qW0oQnUhJibzkyF+mS0w2PXkfgyzEqG7q4Ofqy7EJ8MvIYSj8n6FcaKGFCsDXZu8QzEvdmPm5MvVXXcee9Z7+UWd6iPxEdfX/8SIcFpHVV1+9sPZSceoyEbinj+22266kffhjUcLGYH4tDM08zXrZFiQpItLEsMpNaQXuW40ZzD4nyRhul3/fBPeYfP0S40u5kZsec0J/GKfGlwWmPrY7m+qdPdVqQ20T3Leqb2el//+nhK+NZc62Rd3/3Whcl1bgXh+a2/Qbex7qrGC39cjnUwOzUQOdgnuEBtvXtJ3nnHNOsc8YeATXVlttVSKdALK0RWKe+p011Dwn+++/f4l+AukhwcDH3/FzxImoQYD7dv0kiiBvPxyIVs+xFZh4Nj5E/awR9gOKCksBEm0QzYVX/N96KIrANlvH4AckRzOVsPlN6+s666xT0VNKamA6NNA3cG9CC0vF5hpA9oc//GGZ+CYLMXkPOeSQAiQZCeDS31g9k1H+3vbbb19AAAAKpMoB5xEzDvKgedFY0kiz4GkLmQGCACiwiIV9z3veUzYDAo2A/frrr18mrG9IDWglJiaQyBACOIAzLx8L4GcB7n1b3p7vYn4xGVhfII/w5I888sgC3BkIdePoMB7kkUceqY477rhiDLUNeNImbQf4GUMMBnZ53XXXLfnhwohADR0Ay4ywbwB/wplym4FadWK4lAccAtx0wjDTi//LZwaw6JQxleOoDGyMdmiPyEQ4UZdeemkJvdKHtgCidIJxpxftlZN4/vnnlzppj42jjLR6YXLa5e8Lk2KFGNyFF154jm6ZCNx7WJrLLrvsMsYGY/gBfjfmakM7MTaMJek76tDM7+4U3P/oRz8qIVn6bDon8e0A9xZEYWRRBe3l1Ah920BsEYzxgeniPIpIWCSlB2GgzAWMVS9lPHCvX4wN0Qtjdo011ih1VO9uBZjnWFuU6cuYMaZ8I6QJ7jlA5gI7Yl5wYgECex2kBKSkBlIDnWmgW3CPHFlkkUXGCg/gDQxLS0RkOCDAYQEREbcWWXetoeapOWu+Y7M7OUgAOy66aY1rl+aI6FpiiSUKaz+ekw9PILCuvfbasbVH/dgb0Qn18z02+f777y/kmrXvpptuKlFF7fO3Ncj6MpEgiEQ1RJPHS9GcqJz8fWpgshroC7g3aYBQkx3IAdrl3QlV8bKFuRgXHjIvGIgDvLDZQIsQHcAIXAOQJrcQHUNy9913F3YVUMXAC+kDG94xKTfaaKPiHADv2GP5dXL1gG5Ogu+YwOo4HmPPAfEcI7biiisWYC5MJ8fQRlpML3APNMq95sgAZeoAfHNqgnFQR+2OHLzIU+TYKEO+IFAZudzaIs9Q6BJwAqYxDEsvvXTJYcRGY/qVq73ywuUBBvPBqfE8R4eoK4DvD1EPwJDDwkkgvu959eeIYcFtPJZmwngyxsA9Y6c8wJ2xJIA81mSfffapjjrqqNJ3+ss7fr7tttuWOmo3ZofRk7rSFI4PZyuclGb/dALuGWhtMeY4LgDiYYcdVpxIf7cTrJP+49xwMEWE6tIpuOecYYgwO61STZQJ3APJQDtg6t8AKwdNyNliY3ExjjlMV155ZUlPCbHoiL5w2Hot7cC9OnKC1UeKDn3pW+NTOzFd3QhwDwRwYNkBZRt39lKwHaQJ7tkN4XOOmD0Z5o6xzClQH3myKamB1MDEGugU3FtbrdGiauZsiPURUGcXzUHg2ZwE7mOfkjWW7WcfkAHmK/tmnWD3xhNrGVtj3fXddodfnHHGGaV8dn888V3rsfXnda97XXkUPhBZkEngewgWaZ3WMOk57Jy13Fqm/uoNe4g+S/FEArFfQeLVv28NY7+s3daUlNTAoDXQF3Bvwhn0dsMvuOCCY20CeLDckZZj8ptEWFyLOjAn1cPiLhWFQ0BMPKwdo4G5jE0zJicHQu6eyW2SxSk28VHf8C7PmwEKhhb4Hi/nHlhhBOp538rWBt8E8DkejAPDgyEHuAiwYTMg1gEry8EAeOWBE/9mNAFZRhLQrn8HyOacYCOVS49yDn0LE10/ijFAJ8Af4VAAaO211y5GRds5Fn6nLoThYVyBKgCT6AeGWTkB1PSFDcMYEYaMiFxwEhitejqUfvYtIBUQ1CaMjucCmCpDH91www1jBrY+4KVacHQ4cP5MBtzTI3AP2NOTKAGnkGNRz6FvTrSbb765RF84LJimJtvSKbgXfaFvzmS7NKBg7jlz9TxTi4oFTT+I7BijxgHgy6mzIGuX8cTxi2hVL43GeMx9jOf4HtZehAGw7pa9r4N75RkTdG+zHPtgPDXBvcXWuI5x7D2ONXvBNhi7KamB1MDEGugU3CN5kFu//OUvCzGGNGKfpKdg80UUkUwTgXtEkufZNcSVaOp4wvZZv9i58faAWRP9ETkeT6y91m6pMtZQa4s1yrpgvWJHCPIKM4/Y4tD4vfWdfbOui2I7IU96D8whOssBaLbHuocEE0nmHKWkBgatgb6AewYgQl31BjU31DIcQKXJE+AewLNYA0YW/BBgCdgOkO7nDApAbcIBGFhoBmG8kF8n4B7oZQiARGkAIZwJTLZJDsSpd6sNtZwAdQJQMLkMlMmvvQARwBzgUQdg6uv598oF3Bg1Rgm4Z4BEEjhOdWE0pTVI2cGmA+QArTSfem47fTKu9AyoimZMBO71BcMd4F79gas4n72+oZWB47AwnPTGcGI6GEGMOLEQcHragXvA1XjgPEjDmgy4jzQcYwjQBwQtRIz/eONC5ANoNnY91/x2p+Be1AS454ROBO6bG2qlSwGwNppKtzG+45SeOAlCH/u3Pu7H0ZCd5NzH+NNPIjDYLDput8GslVFrgnvPREqVBRMAECmLDbUcYk4n5yfSlbyDBGBX2IeJHPZBG9f8XmpgWDXQKbhXf+se9tqcFD3mdFsHrVHWNuvuROCeLRSBtFZZg6XrjCeILZFMtrSdYNMj3baTE94QOIC7dc97Ig1SHNkTdqWdAPOcEmshG2NtF61GYEozlcJqbayLdc8axDZ2ksYzrOMk6zW6Gug5uAduhOvkmjXBzVTAfexABygilaSpdgYG2JZW0U46AfeMEK8bkI39AcrDTGN/GYPxwL1nMYlAMNBBPI+pB3ABeWUAMcAnVpbhaSfjgXvvYAYAa+BQCpM+EA4N8OdnwCkD5Fntw0h0C+6Vy8HCJEuJqjP32sGI0a9vTxbcA9dSg9StW3AvrQfota8iwsVYJkaZIyJHu51I2bFoNY93i+cHAe4x+vJajQfA33gGaoWKLaTGiMWIjqT+9EO6Aff6yRjncIpCTBXci4RZZAF/KUecU4uqP8G8WfAtrHWhH/YmwX0/RkSWORM10A24b7Y/0mFFZkVFCVLCfGVvI/KLHEL02Ick315E2pqKgLFGtBLppua/8pBZ44kIn8inNWeiywNblQPgI0uw9PX9BPVnRStEkdlFIk1XGzD8nAO2Wn59PcXVc9J/RAn6sS9qJo7HbFPvNdBzcK+KNnKaeIB4/QIK4D5Oy4kLiDpl7rHOPGbpJDYd1sWEAwBMNuwvI1I/totxAUqB0U7APebdiTE2/GEHQuT/yS8UwsNYRFpO8yhMG1MZC4YPGFE/7DWDylBIbQFGbDSlJ6yyZ4CUpmFhHCcC90C9tB2sCMYj0nCUpS0YBN8PUER/wFMrcO9nEQZtMvfarz5YibgIKgBdbOJlKBnmyYB7DBHnw+JBN5HmFDqZKOfeeBNCBuRFTOStqydHjUNjHBiDrUSdOT8AtL5vSqfg3iImeuS76tBK2h2FSfeYMUA28kK9z1kRIpaDz8lVl36dENMNuLcx3Zzzt82+3YgFXP+I5NTF/HUetflABzaSu/jO2AMeEAfSu+qLuSgbxzP2lHRTj3w2NTAbNTBZcG+OWacQbDanRnRYpBh5xc6ar8TayRYiV6yFALF9MUG8NPUuCuc5Njz23bTrG2svQgaJJqrQqcS+tIjo+lsUohUxgbzQLkRY2Fttts42wb221teN2JMgrRbGSUkNDFoDfQH3vGkgDeA22UNsamFUgEPgXj68HGs59zxkINmmGx4vcVpLXTDGgLXNkXFxEMYaoML4WfQxAvWbNAFtwFM+s28GuJe+4v/AdquLL6SZABY8c2kzBPhjrPyfQfB/hsupO3GrXYAxAJpD4hueEZ5bYIEFSjmRAuL3dCAdBIDHaNAHAbKAbM6ENmBIOQE6rJWEQ4VFqOckcyIYSnn4sQETUAQYtR2ojfQigIpB8z0/VzcsMQNKt0Bz6C9OSYi6MMjekfZDpFjYcBmbgv3MBmkMr03T7W5xDceDbpvgHottDMQ59/VNVk5nMt6MDznzUp/CYAPTwCcwqc3NzVkcRvsQbNgEHluJ/pMqY2xj1duJlBnGXwRJek0rCXCvr+qXQhnToizqUY9aiEhwNC1+xnE/w7ztwL3xp/31GyD1LwfGhjb15QyKTBkzcS17Oz1ZNI2vVpuC/Rz7p0x7W2KjbJwgZIGNVC9OoL6VPhfnaw/aiOb3UgOjpoHJgHtzje21psk3j/Us1kb7uqSwxJGU2Gv2lE1G8lnv4thKJ7Q1hW3jtFu/62LtsobXhS0MZrzVjeTWUgd11A8iiPcRT9ZVdt+Jca0264bz4P36hlhrowMmEC0wQGALpERd/NwaSwfWxpTUwKA10BdwrxGOmOK12iRnsgPq8od5+tJR5KqZ7ICQNBWeLuMA+MdmXCylDZ+R2x3nsccZ9r7j90JrjAfmF7Mcl06YhAAhgC6URiKkCAgCLCZhfdNvdIDJ7ag/O+gBEf8GbKTZAI/SJLCzAIef8+5tFtVOKTdSFeKITUwkRlv7MbPYfAxCnKYCKAO1AGoIR8jmVKlAwLp3GCvAxt/NfOv/w959QMlWVHsDP65nBFEJIoIkRVHEgCLBiAIKSBAEQQEzShBEkgLqEgwgKEpQEVxEBVRQxCwiIKAPUUBFkgQDggLm8J7vM3zrV9/b85177ume7pnume6eXWvdNXOnT9ep2lW193//964qjIq6KZN6BIDTgDnAWosYkJE+2fAD9HNUfE4pU7ixEdf/4+QXJ8cAWaID2gPcAvkALxDrKnEyjlQaDLuNoIAqWXivlAl9BHgpccA2TlWoT3p9ZgDky9eVqj0CHAdzCftOQTMuZMaBpKQ5A6ITwGWz+D5jwBGTukPhUtRka754X5sSNsZCrtJggHKOGkfAfGtjezhI5KpNcZpQsy3B7jOW5haZ6xvHgZybR4D6vvnEKcOS95JfOlNF0gbutdecspa015rlqAHU1m0wVrGR3jPma5t8zD/pUZxwDpwUOv1tGlhzNJy4uLTGuif/uBnYkXrWHf1Qd2hn2vf8XkpgoUigV3DP0abX6WUpi/R62wWC7Bl7z5YBvv6PDEDm0Fveh6SQCmNzbhyWEfKOzflxfrzvI/0w5Bj65mEI7BkbwsY0i1Nx2H5OP3KLzmeT2G6kE3KNrq0fu9usA1lnb1gzBdBziETODSIDwJc+1Iwe+Jt+stfDOPhgoczT7OfMJTA0cK9JjD+wKaQlZIf9BaQdHymMZRMehs5CtvgsGOybZygDQMD36iF/IA1IBrSAcxGC+skmwCc23+IHHoX966BNZMD3KSyeOyXQqWAHbJ4FhBUgGLNeBy3abgF7Th+wjJiH+kk8gDBGPDZZAnOeAWgiTEiRUI5AMFAIdFNu5Md5UB/lCGiTSdvRg0An4NoEVfoaG2yxvkKqFC6QHFEJwIkCxZYCeACYZ+MyK8CufqIPJwkgBX6BMJEOBWATWQGc9Q8wDMZbfyg6qUIcvLYTDnwfeGRE1BOF3MmKIyhFQ+SFA+ZvnELOlwhItwuy1GWOabf+cgYcJWpcOylgaToMlpQu7ddfoJyBaF6epn7pJjbkGutuOejmFmALHJuT5n3b5VnRf7msHCOO5TBLG7j3Pu01Pzkfxkh746beaA8niJEG7DtdA29dYrQCzJMpR7/NYQEAMHlxopP3ABucCOuC/G1UF7XKkhJICfQugV7Bvcgre8lOSvnslNYYb0ZusVf0MNvSlmrKJkujC/0JBDt8gb2mZ+oFBgCwm/qBTaVfO23MVR8yKnSqCCECDHHE9sAkzUuz4r0whGhBfeN+U7I2FyM4EElNPehZ9sSBAN0u1up9tPLJlED/EhgquO+/OfmNUZZAJ2U46DYzENjv2LQ8V++dbT84HMAmZc85GWQRleEMdALNg3pXJ3A/qPqznpRASmD+JdAruB9GS+l2oB9JNS66vR85iGxwcEQdsqQE5ksCCe7nS/L53q4SEPVxnKqUq3EpWC6RAVGSQRxTGReF2XQtXa2XWx1nK6sE97OVYH4/JTD6EphPcC8/3Z4ZZAV2fZKKqKb0TxHWbufzT1Kfsy+jKYEE96M5LtmqqiqblDE70x2JNt/C0kZpOMLX9UupZtOuOFlCHULcUoGGdUJOvZ0J7mczavndlMB4SGA+wT0JiXJKA5UaOykg2P4vKYZSVDsdrTkesyNbOQkSSHA/CaM4wX2Qd23DZdum51Hpts2fNnvHKU+DaJd9BfI+5X/K2xzmJtoE94MYsawjJTA+EphvcE9S9s/Y0ySPv23/0vhIsyr7v9gqJ8Y52SxLSmC+JZDgfr5HIN+fEhghCSRzP0KDkU1JCQxJAqMA7ofUtaw2JZASqKpybLqsgjg0pS6U+/y7ccWs1ABHWzkpJEtKICUweRJIcD95Y5o9Sgk0JZDgPudESmCyJZDgfrLHN3uXEuhLAgnu+xJXPpwSGEsJJLgfy2HLRqcEepZAgvueRZUPpgQmXwIJ7id/jLOHKYEE9zkHUgKTLYGRAPdx1u3ll19eUn5cbuRiomEWGyDdaum21bhJtu19Lr5wG6p0pKc97WnDbNJA6naRln45D91lYVlSAv1IIMF9P9LKZ1MC4ymBmYL7+rn0sz2j3oZal9o961nPat1QO9v653JkbKiFX1ys2XbD+Fy2Jd+VEiCBkQD3GuJWWSDaySNu7bTgh1EsQrds7r333uX2VGeJu2G1rTi33O14nnd+udtMR7lwWNyQesopp5STVt797ncPpbluaVX3Rz/60cqZxeTn0o5hO2RD6UxWuogEhgnu3SrJSV566aXLPQDmkd859OaOs/zdXun2ZNe5d7vhN4ctJZASmLkEZgruvZHeP/zww8vxvPXipm3HWwIVbpp1q/hRRx3VetSlG2qdAubz5ZZbbpF66AF6yK3t0xU22nscQzldcduteh1ZzHHwOxxQv9X8Zz/7WfXa1762uvLKK6eO6myr13OHHXZYuS07itvlycUN3UB+lpTAfEpgZMA9IbjOeZdddqm+/e1vV8985jOHKhcAePfddy/Aog7ugX3XYG+00Ubl/RdddFG1ySabjAW4197bb7+9et7znldAEkUz6EJBul3QDmxXe3OQ3DjoSLPrr78+Af6gBT7H9Q0T3EdXRMCuueaa6l3velcxsFEYe04iBxw4uO997zvHvZ/Z64AB9xsM4uKymbUgv5US6E8CMwX3CCQXUDmnni2IwlHfYostCqg9+eSTy5/f8573lIuqvva1r1UrrLDC1LOAOJvL9tbPuBclR04h+hyNqc5u5Z577qle+tKXVpdddlkB692Ky6W22mqr6nGPe1wB93feeWfBGJtttlkh8B74wAdWwPmmm25abhh307gLtnzWFgFfd911K5cLLr/88ou8lv3lbMARK620Un+Dkk+nBAYogZEC924ktTDmAtyfeOKJ1T777LMIuMcmYBYxhxSYcskll1QveMELqgsuuGDkmXvtvemmm6qNN964sA/DAPff+c53ikL88Y9/PHVRB5YD4PdeCi/L+EpgLsA959Ma/8xnPlPWe5Q//OEP1U9+8pOSlnfrrbeOBbi/6667qjXXXLPS9gT34zvvF1rLZwLuETn0A2Lsn//85yLg3qV77vm47rrrpkAt8L3eeutV73//+xcByOypdb/HHnu0in2dddapbrzxxnIOfreCOedI/OpXv5oW3MsK+OAHP1j0yxJLLFGqDeIO7njJS15SdNKLX/zionucVX/AAQcUsszN4A960IOmmvLGN76x6Ch6rK2IbABWP/jBDxbatMr+jpAERhLcX3rppUNLywnZt4H7I444otwwB6yutdZa5dGLL764gNZhgPtOOYWzyTWkFEUauoH72dSPXcF4cBxCOd99993VaqutVq299trlIo8s4yuBuQD3HEFs21lnnVW9/OUvX0RY5u/pp59evfe97+0JLM9mLs/mu9Hot771rSW1YDrmsNcZMYg29fqufG7hSmAm4B5ApueBXmkpdeYeOw8YX3HFFdUGG2xQBCttx1o/9thjq80337z8zZpnm6Rzdrq4CmvudvJuzD17zKFQj2jfdOtvmWWWqZ761KdW3/rWt6YG3f400QZRBam3H/nIR0oqjgg0Rp5T4u/+ieYrmPz/+I//KOk83YqUQnrhwAMPXLiTLHs+rxIYGrgHAi0A+XPCU/LQKIVuhQe9/fbbV9dee235x8BbJKeddlq5xa5e/E3eN+ZMCgpvOYqQvmutgQTeP8Vik+myyy479UwT3O+6667VJz/5yfK++93vfpUbQoUgsQ88dIz0Ix/5yJLKc8cdd1THHHPMIqxjvW0XXnhh8ewVIcivfvWrRRm6lvohD3lIYfnkxANS8pClt1BOUhXCqdB2SpEchDA5HlgQRf9EFIQX9U2uI7AtnClc+OxnP3sK3GPyteW2224ryvg1r3nNlKxijNQlBHn22WcXgK5gL7AiFKA++56Q63nnnVeULsUslKlwgLAx559/frXNNtvM64TOl89OAt3AvdQT88yaE9li7GO+9vPWTuBeqBwruOeee1aMsWIdCu2/853vrOTX2pPD+AMn1od9MNbXoYceWuaq54AHa7itABzmuZQBYXgG2D9sobTAuo7ATjLmjLw0hG233bb8HhvmrGeAQLEWAILPfe5z1dOf/vTFXk0PCfdbP1IDgArrmV7gINALGEE6jx6UnqgPnJ8PfehDpX7ry+f0lHr83ZjEmqPT6ERyOOiggwpRkSUl0CaBfsE9IG3uW4v2x2C06+Be2guQ7B+bzwlgo+2f8/PBD35wsRs77bRTscmcgU6FvZHL3gnc//znPy+2F5G07777Fj0wHbhn16XaslVRtNn64ij4Pobemmb3A9yz+/oA3AP9noEtllpqqa4TS3SbnUdidNJFOTNTAsOUwFDAPSDpGmaA1EJgsJ1KwxhZjJ0Ko2axUQA22ay66qrFWAHVGAEKgsFlJBk7gP5HP/pRyflmnCMlhOEEAqSO3HvvvYVptsCE5KK0Mfc8dOE54bQnP/nJU8BV/YwqpcX5YNDVDeTUcwnr/cI86AenAYBXAHaOCCXJ+EaR57fjjjuWPHb5xlKDAG9KhRz0lxEHPjxHYQhJCiv6v7QAzotcZrIG8OvMPeeBkwG4BXgXnQAKhCKBja233rqAJKcXrLzyyqWt2ugkIX2gADk1lLL31Ytw7JJLLllASZbxlkAncA9sciIBY8yV9f3nP/+5OJ/WaT+lG3NfrwcI4CjTGcDE0UcfXRxgjoW5aSMc/SIVYMMNNyxhd+sGEGkD2NpvHemjFDzKz3cZfrqJE21NKf/4xz+Kw8qhBU6kJMjZ5fQCCLF53DuRFtOBCzrIOrHPwDtF1zgOdISNgw4QkCbobwrHw9rnmNMf2oVQkKfM+bFG/d/a1AbP0XHWrf4jQ7TXmsx0oX5m58J4th9wD6Ri4+2rYoPbwL35z7E1Dznk7CUwbO7G/LOGrSk21nqbCbhXN/KKc2sNWDPHH3/8tOuPznKCXJCN3t0E92yiKP3VV19d1j2dB8Sz9+wyvcHBJwsRAw6/z9uAPvLA+vQ+9jhLSmCuJTAUcI9RZoCwUgy/RbDiiisWlhno7Qbut9tuu8JM7bzzzuUxDQR6GTtsnlNrMNR+RmHoGX6G7ylPeUoB+jbnRUhMXcKBdQPcBu6xEoytI60itMiQA/dO7zjyyCPLK70bMJYzDOw3S4TWAYyHPexhBRgDv5gOikkbgXEbBkUGbCLiCFGC+qBusqs7Dk984hOrW265peTUY0X8pKzsD/B9yobDQ4FSUGQGSBgLDhFGIor2OaVE38hKwZL4vv7oF8ADIFCmGFOMpvSb5gYi7QUoMC31UwfmeiLn+wYjgTZwb2ytZwA3ck85wuY1J7OTg9upRb2C+/i+NokY1NN4rFXsXf1UKOtDBAqA59x2Om0HkLZ3BAO4yiqrlNdg0bH6yAJr1loHmq0ngEbxvPXi+6F/sOOiBtZYNxCtLTbZcaIVLDyGHVuv3tVXX30RcO8Zjrh/nAtrM9Y8wATUAyfyh+lIqQk//OEPp0S+1157FTkYI/orS0qgLoFewT27gJg7+OCDKzZIaQP3UTdAC7gjgtglqZuR445pZ1PMS3V2Kp2YewAbaLZWMeNKr+Aeu48ksK5FythAOgDxpa2cfRFxaxlpZ90h0+g+6Tz64v2whu8hFciQXdfnJuFlzYp2wzt5JHWuvfmQwFDAvfA6L58h+8UvflEMjwWPlQfcOxWefzDTAa4ZdOAcA8/oMvIYe8w6g8kjF0aLcD2gCXDylgHYz372s2UhAsszBfexUTQUCjaRo8JBAKI7FSBZf8gC0GeM/R+o1mbMgzCffpANgKCtZARU1DfxYPQ4LMH6YzAx9WRR35gEAIgEYAYxn5wJhr5e7GnwOQY0AIk0G8w9Fh9LKPVA/ZFqEAq6Xg9nhRKTtnzFFeUAACAASURBVJTHYM7H8h38O9vAfcwT82YQpV9wb02Y9yKCQLASQKFOBNA1HGd9kAY4Hbiv6wPpPYC9dcWRpWsAf3+LAugA43QMR8BJH72Ce9FE657+AmwQFfqDIbTWRULqzH2AKP0JcI9RpEdCn0S7rD/6jbNPh9CJ9i6QhxziYWysH8Q8yDrmTwK9gHvrg90G6usOIuDLka6n5egJEkhUGTOP7Q5iDrPOOY0NrOGc9gPutUW+vKiXtR0liL3pImdsr5Q9a8m6RqCxab4vUu7vij7Rc9Y3J36NNdYoAB3hpx+xLqX4IM6sZdFCEfB6IQt2WOpi0/7O36jnmxeSBIYC7glQCDw2zlg8fg9WvpOA207LYbyxVMC9vDdsvEgAg8WIKYy4f5jjCJFZVMC35ykTimE24L6+oVaojbEWQdCvTgUrz+uPFBkKQsjc98gCMMAIUAKMOJnx8oUz67v61c+gP+MZzyh1GbQA9xROnZUPcC8FwHOcEAyEnN4oQLz2Yw7rSt7vogme9TtwLzXAuGAomgWTK00n9hcspIUzqX1tgnuMlpQXzp55P4gyU3B/8803F2Zekcoi1QXQloOvYMA5/XQDoNwPuLcZUKqdf6JgomNS0qQd1QvmEGC2TwWo7hXcc7RF60TatMv3IjWvX3AvfSD232ibPtMhInVxwkjoRACmzTEfxDhmHeMrgV7APdDKjrC9kTduXtEJnEgRLc6uqLO/sU9nnnlmIZTMQ0w5WxenYrHBiLKZgHusuvXGftbTYID2uC+DDRUdq9u6+ghJtbO2/YQVAHptlPLb6ehtJ/Eg1dhQMpO2qh0cAAQkjIFc09/Yg+addCWHqEm+je+MyZaPmwSGAu6FrXi9FrZ8cSCSB8xb7sbc9wLuDznkkOIlY8+buW4WutAZhh3r7RlF+F4Yf67BPQWILcDOA+xYe+F8YMTfsPdCehgASpOSAtSFLQFnkYco9gGIRgAIQondwH2k5WAjKVypCwBJnE4gsgH0U0AY/HqRhsNp8m86cE9RAlkZ9h+3Zd+5vU1wb80A9wAlVqueeuUz86XfdKxRBvdSW4AWgBjA51THSRmkFuA+dEmv4J7jzkHm8Etxoo/CUcfg048YyXousmhYG3PfBPfWOHCB1ayXuC+g3/GZnNmcPekkgV7AvWi4+U3Ph6PMhsh3R7DJSbeWsddS2Nh76yXssj05SCTMPxDMIbavBahG+HUqbWk5ALkIHrAdpJ6f1gJCCwEoEg4ftBFRzXdxWKQMI9m0ux4lj2fZY/hFSlJEphF09g2we6JovsvBYZ/rN9izsXBI2OuciSmBuZbAUMC9dByLAEBV5LQJGcvntrAZnbb8VOy4xSa0B1AokZZjQ6hQeYT6AFYsmL8pHAPPCHNTIJjvOMnDJhg5rgxyvNtJMMJlHIA4r5bBxULHwsVGMPbqA8opKiXScrSlm5LyrL5QBlKL/ATsKTkAHFtIMdZPmJHjx+hLZaoft4WhxBBIEwAE/GT4m8wAtsV71IvJi1xDEQLyUiht6TdSAThboguK0L4x0FapCUCDn2TbpvwoeA6VZ0LhzvUEzvcNVgJtaTlAp/kov56zGiWYfOyedYWBtremba7UWxnn3McG8el6IA8WyJAKYM4qkZaDKQQyYl5j223C5yR3Yu4xi9i6ZloO1h5Tz6mmq6x5eiOO8dNHebT2//hM/TYO0kVRF0DTtsHO5tb6PiFgROhen5AAHAib7ePGS2kB2HngKTYl0kXWajMtx34gTgHHw1hxTrRVhM5P786SEqhLoBdw30liwLqN5fW0HJFyaxTIdQBGFHbIfGSHpIpJ8WPHuqWKsZHY/mbaT1t7bGbnWDTTcqSk0UPOq28WnyG+yICjEjql+Zw22EyMTItiDVqXDu9gw0XORQmbe25gAzpIZLvTefg5I1MCw5TA0MA9Q2YBA5EYJRtZ5Mta5BZH/ci52IDqGV5yhLx1PMJewVbZ1MkjxlwLpQETnAgMopw+ea0+t/DiJA3eM8UCCGiDqAKgC7AArha6IqQnXxA4AOwBGUDeLXj1UCInAAtvY850x81pF4UmrChnNgomwGeUZL1gSWzq5fmHQ2EPA5ZAihFDrsRpPORVb0NcJsJJMriKtuqbfsUm4wAlFLHwonQcjoH6YgOQMaL4hCDbABtQpw8iDRyOLOMvgTZwL/JmI6mNZpxZObfC0464tZEdm2dvC0NrXTF23YpNdcD5dKdnRR0cbqf0WPPhiMaGWvok3icSJkVFO6QKtJ0Z72/q4BzXAQGdJK2HnsHY0zP+Zl1Yi9YB/cLh5mhzfJVg7oEbBh6x4fvNEifyxGlh0mg4xHEkoA15WH17a+gAYJ8zpU5RNw6/PUl0UaQ5RP88r33YSLqNTvQ7JwOZUo8Ajv8MzR4MQgKzAfdtG2rpCOsFAcauSuNhi9kT6xxZZ54isqTNsEedCgddCl7M4W79bdtQy16y/9a50+PCdgHqCAXrCeAWNY8N9c13cLqRY2xbPd3Gc+y56IC1y3GmI5onxXGy2W/kXt5UO4gZm3X0K4GhgHuescVlgWC6GGBAkPHF9tXzRaPBQmoY/iiMJmMaR9P5O1YLu2WRAtZCYgrj7x3ywyN8x5sHQhhd9WL3AFphuwAL8S5/Vx9Az+gC4Qy69B+fRaEILNpgwP1d2C7a0Un4gIYoQp2h5ywAS97bLCIQGAGbkjCBFBFQgUEEEoBvYCqKvpENhVk/vQfIwMwDZOFEAPOO2KT4sJLyCY0X+XN+vCuO/PTuKH6PU0Pib4CGMaXE69eI9zsJ8/nRkUCnozBFdRg7wJZhw77Z5BoRuAi5xxpt65H5Ffnx9TVlrYnsta0Da7V+JrYz6b2rfhMyA89pN5ejABlO9KkX8xwTDsQrNrVi5awDzn8UjgsHRAoAfYHdA7LpMs+Hg+F58x85YC0D37HpvtkXJwpZP+Qo5YccgPcgOUQSsPmiH/SFviAvbNzznGiaqFoU76xHAuhEciBjRWoDZ55OzJISaEpgNuBeOou11GTLzV1RLPNUxCiOfhVhjuJz9pLz3CyhQ+p/ZwOlsXUqUmLUV2+LdBr2yFqPNSN11Bpj39Xns07paog40T16oR6FiDZwOug/BAOb7v3NU+Q42wgAzkSWlMB8SGAo4L7fjszlrYxz+a5+5dDL8+Pe/l76mM/MnwTm4obauerdqKyVYbVjWPXO1fjke+ZPAjMF9/U5N5P5JzqF6OKcR/Rr2FKYSTtn0yZRBxFEkXCkWZaUwHxIYCTA/Xx0PN+ZEkgJLC6BSQL3Ob4pgZRAuwRmCu4HIU8ppRh5TP0kXrAm2igyIHqWJSUwXxJIcD9fks/3pgRGUAIJ7kdwULJJKYEBS2A+wb2u2EMjbddm+UkC+JwW+w3qm3AHPHRZXUqgJwkkuO9JTPlQSmBhSCDB/cIY5+zlwpbAfIN7qTKOsHT6jLz15qbVcRsdewzsZZN7b79Op5O6xq1f2d7xlUCC+/Edu2x5SmDgEkhwP3CRZoUpgZGTwHyD+5ETSDYoJTBhEkhwP2EDmt1JCcxGAgnuZyO9/G5KYDwkkOB+PMYpW5kSmKkEEtzPVHL5vZTABEogwf0EDmp2KSXQkECC+5wSKYHJlkCC+8ke3+xdSqAvCSS470tc+XBKYCwlkOB+LIctG50S6FkCCe57FlU+mBKYfAkkuJ/8Mc4epgQS3OccSAlMtgQS3E/2+GbvUgJ9SSDBfV/iyodTAmMpgQT3Yzls2eiUQM8SSHDfs6jywZTA5Esgwf3kj3H2MCWQ4D7nQEpgsiWQ4H6yxzd7lxLoSwIJ7vsSVz6cEhhLCSS4H8thy0anBHqWQIL7nkWVD6YEJl8CCe4nf4yzhymBBPc5B1ICky2BBPeTPb7Zu5RAXxJIcN+XuPLhlMBYSiDB/VgOWzY6JdCzBBLc9yyqfDAlMPkSSHA/+WOcPUwJJLjPOZASmGwJJLif7PHN3qUE+pJAgvu+xJUPpwTGUgIJ7sdy2LLRKYGeJZDgvmdR5YMpgcmXQIL7yR/j7GFKIMF9zoGUwGRLIMH9ZI9v9i4l0JcEEtz3Ja58OCUwlhJIcD+Ww5aNTgn0LIG+wf0b3vCG6oILLuj5BflgSiAlMD4SOPLII6vnPve51TOf+czxaXS2NCWQEuhLAgnu+xJXPpwSGDsJfOYzn6n++Mc/Vrvttttibb/Pv//973/X/3r33XdXj3jEI6oHP/jBVeOjset4NjglkBJYXAL/8z//U/3Hf/xH+ZclJZASmDwJ3Oc+96n+8pe/pB2fvKHNHqUEpiTw17/+tTrrrLOql7/85dOD+1//+tfV6173uurLX/5yijAlkBKYQAm8973vrZ797GdXz3ve8yawd9mllEBKgASSuc95kBKYbAl86lOfqv7rv/6rev3rX98buH/Vq15Vff3rX59sqWTvUgILVAKZc79ABz67vaAkkOB+QQ13dnYBSqDvnPsE9wtwlmSXF4wEEtwvmKHOji5gCSS4X8CDn11fEBJIcL8ghjk7mRLoTQIJ7nuTUz6VEhhnCSS4H+fRy7anBKaXQIL76WW04J6w2eof//hH9bCHPWxO+u5dNn/YqJ0bOedE5B1fkuB+fuWfb08JzIUExgnc2+Svvfe9733nQjRDfce//vWv6u9//3v1oAc9aKjvycpTAgMH93/+85+riy++uCTyW4wms79tuumm1corr1zdfvvt1aWXXlotueSSZcH+n//zf6oHPOAB1ZZbblnd7373yxGZZwkYD2Nx4YUXVv/93/9d3f/+9x9ai8yNm266qTrzzDOrD3zgA9UPfvCD6klPetLQ3pcVTy+BYYL7733ve9VPf/rT6oEPfGBpCKO90korVc961rOKU2c+eOZnP/tZ0QWMIJ3hWM50+qYfu3wiJdCrBGYC7tmG73//+0VHI2LaihP1vvOd75TTeJ7xjGdUa6655mKP3XLLLdV1111XCCSn72244YYdgfttt91WXX755dW6665brbXWWqWuX/3qV9XVV19d/e1vf6tWWWWV8lkn7KAd3/3udwv+mEnRn5/85CfVnXfeWa299trVU57ylFLNXXfdVV122WUFpL/whS8sGKatXHPNNdVqq61WLb300uVj9Z133nnVk5/85KL3sqQEhiWBgYP7P/3pT9WXvvSlynnZP/7xj6tHPepR1Z577lmO4zHJLexzzjmnOuaYY6rf//73RVHsv//+5fNhAslhCXDS6nXEKWX6m9/8ptpuu+2KAzas8s9//rOivN/61rdWn//856sbbrihevzjHz+s12W9PUhgmOD+oosuqt7xjncUY6swbv6/ySabTIH7b33rW9Uee+xR9MTmm29e7bPPPsUwJ7jvYfDykZRAjxLoB9xzspE9Tt8499xzi11v09O33nprOZlj/fXXrx760IdWV1xxRfWa17ymeulLXzrVKnVY8+oEmLVjp512KnU3C+LnxBNPrPbdd99q1VVXLR8jBo877rgpIuB3v/tddeCBB1aHH374Il//wx/+UJ1//vmVs76/+tWv9nV0NxvouNCTTjqp+uhHP1o98YlPLCTDDjvsUD396U8vAP3FL35x9YIXvKAC3oF+eKZZyOPoo4+u3vWud1UrrLDC1MeIz0MPPbQ4K20nmfQ4hPlYSqCrBAYO7uNt//mf/1k8cgv37LPPXqwRL3vZy8plWJ/73OeqLbbYIodpAUvg3e9+d/XOd76zuv7666snPOEJC1gS89/1YYJ7vWMYrXdRGgbxLW95y2Kdtml/ueWWK4ZxmM7l/Es7W5ASmB8J9APugV1pk5/97Ger1772ta0kjGee9rSnFWAPfCPqPvnJTxZgjvnG0AfY3XXXXQuwRQTutdde5Wht4Bzoj6I+2IEuCHxwzz33FNZ7s802qx7+8IeX6ADnAXh3TLd3RBEFxOy7wAeZ2Ou9PAHsDzrooALujz/++GrbbbetllhiiSld9OpXv7o4LqKQfmLuRRw5AfX3A/Ci4G0MPedj++23r9g+OClLSmDQEhgauP/Rj35UQliveMUrWr1yf8fWWtg84CwLVwIUO1CZ4H7+58Cwwb0eYu6teaFqRlF0LwrG/u1vf3sxyFlSAimB4UigH3AfLbjqqquq9dZbrxXcs+PbbLNNYfif//znl69Ir3PbNQB+2GGHle9JZ6nb+1/+8pfVBhtsUCLF0nSinH766dVRRx1VXXvttVMpN9J7pQYts8wyU8+dcsop5e4dLP/jHve4xYR1xBFHVIccckjP4F4Fb3vb2wqx4AKgHXfccbE6sfjkwNG49957y3uRUxyZKLCNFCb3hrQVzof+0X+iFpmDP5x5vpBrHTlw/9vf/rYYf57tQx7ykJK398hHPrKMkfP1Xacrv85C33rrrcumT8yAfxSWEFmEDH/xi19UFBIP3t/XWWedjmMt3Oj7PHeMws4771zYB2zDlVdeWT6T27fGGmuUOtTNgdFe4EQ7tZfykVqgnRYsrxwLKT+PItN2nvyKK67Y2hYhu5tvvrm0wXf1GSOBFdEGDIr2UJLAkQuHvLdeKFHhQqHF1VdfvbS7vhlJHfIisR3a5sIizIRC6fz85z8vOY3Cqfrx7W9/u/SLbDxHYdszgX2lVH1GXvEOYxFKWRjzMY95zCLtE5LFeNxxxx1FdgwDFnc6cC8E63vSuZZddtkik5gb6lSfUC/2SLqPdmB4GI9M+epNzXUC99YQ2ZOvkLuc0Uc/+tG9VdryFHbvzW9+c/XKV76yOvnkk8v4mEcYM/POvG4Wxj9y8q0t62j55ZefekwurnntOXMu1uyMG5lfTAlMqARmAu7lydO5P/zhDxeLsGLTb7zxxuqb3/zmlI1ko6WycNj961TYa7pdVC8KOyOd116sbmW//fYrToQMgLYC4Eh96ZW5B9gx6vSgdJpmgUuA+ec85zmLgHvP02cKUI+g+NrXvta17XCO/UTsVOwnmNDplt2aBwkMHdwLYZ166qmLdc3fP/3pTy/C3POCGXaMv8nuc3nZvs9Yy3/jVVMavHG5+rx4SsdiokCEAp/61KdWX/ziFyudExaz2Pzf85RBW1EfLx9AlfPLc7dJxgZgYUTMgvAfcM8r/8hHPlLy7gAS4Upgw7t59Z5THyVI2W288caF0dB+eYAciXoeYrTHBtZjjz22PGejkJx37QCwKT4AFvjRBu0844wzipw8Tw4U2Mc//vECuskQEBNalLesPb7jb8KFwBkgbzOr+jAlHA9KUt/k3auPrLEP73//+4uzcMIJJ5RQKXAv/5E8AWzf833fpWwBP8oLIFQ3sOb7NlEKlSpAOMVGCQLj3cA9R4ShMLY2aek7A+AnmUv9EuLULmPO6QL0OCnmgfmWKR7Ta5g2cM8ZJHuONEfQWAPS5k43h3m6twH26lCf0Lf1Lp9XJKc5VuaiEL55ztn1PWPNMTB/OaTWqTVDZ3zjG98oa4aTmyUlkBJYVAIzBffWO1KrmT5J97NFl1xyydTmUUSVNQkwdwPXCB7rXwqMwkaGPpC+21YQPOweO8XuInvaCv3whje8oSdwr71Sgdgj+wbZbDZJpIHNWmqppcor9BMphvSCD6TjwChYfnYKg88OI0G6FTZPlEOqE72bJSUwSAkMHdwDlG0hJwsJeJZ3H2E6XvqHP/zhwnzzjrHmDDflwGgrFjKF0fR2bcr72Mc+Vj32sY8tuXA8a8AuGHKAD3vO6AOVbQWQBp6BUmxvFIDmQx/6UGEtOBD+bzHLtVMsUuwDBwRrrlBUBxxwQGHeN9poo/I3igDo5Ry85CUvWawJFCDQ5DMsCCXqb8AyB2HvvfcuijM2DwHOQDPWm0LRX8rwC1/4QolUkPEuu+xS5IHxBK4957Pdd9+9bFLUFkyFECHnx/uwMORUV8iUG6eE4xCMLeBvzIRdbZYWUVCH8QLAOGtCtXIjvd/7hC8BLmAcWOQcbbXVVkVO3cA9YCd8adydsEKxGodPfOITJSyrrwA8w+A5Y+NvPuOYkVWy99OrjjZwb+5z4jirnEJzk4HjNFqvMy0iLS960YvK+rFuGEfzoO0IViyaKFHs3xEF4wAzjJSYSIANu+a+Ys0EmzjT9uX3UgKTKoFBg3u2BfEC3AeoDfvDeReNZpubhS0QgRdhj02nGHAkkc/aTk9jz9hb5JTyxje+sWy8bSv9gHt6jc7AziPFbOSX9kMnsu3aQ25sI73FntNHdCBQz16yr2wwu0xfST8WhWen2Kt6EX2HS+AgRFSWlMAgJTB0cI+dw9w2C4AOLNZz7uXZWqQMNFbO4gHy7XjHHIbRtrAwB4CcYhG9733vm3oP0IG5tbCx4Y7es1ht3rNpp7mzPtpmEQK+QIbTfoBRgEabABz1ALPyBy1mbYzinZiE0047rQBqjoaFXgf3wAyWuRO4VxfAzNnhEAGwUQBkzAEAjbnGTgplUiLaTOEAyY4ow4C2FcqE7MgijiijKMmWE8aZUtSDuaiDe6Dae5xMwBFQRETkJcZJARh9zoexIHfpEUAZWahb+hBQSLYcAgZBec973lPGpRu4/+AHP1jysDle2ipqwGkyNpS7wigAeGTBqeM4GANzzBzpdFzZIBfUuNfVBu5Fpji9nE1z0DgB+eTOCM+mYOA5mtJ+zCdpXG3FXMGoCWMbV2vT7wy8dWJuiN4hBkStzBGRuIMPPng2zcvvpgQmUgJzDe5FjCOFMgTKvrADAC6CKQpCj/OOSGMvOxW6gy1mW0SXRaebpR9wT3cg0USA6ZIobIiIev3vCCx6S/vgFT/pSZgFqcexYS+1S38Qisi3eqSTznNKIIKz17ShiZyM2amhSGDo4H4mG2q/8pWvlIUNGPu9Du5JwdGJAGaw99JMAHKAQ8EWW0i8bYvGP2DZP95z2wkdvuc5DGCk1FiUFjXAjCGUFiN/TyjQu+vgHvBwdB+GWerKbMA9BYNl9p4ogI+8/nr+OMADbGGygVztFFbEErQVqQsYdoomgC6QpA59ixzBNnCvPk6AXHpKkDKjxLDllJgissHhkOcfrAoZkSsA712Um/dwMqJMt6E2TjDwvPQqDAsA7z4F4LIO7oVSfSbUm+C+f53RBPd12ZM39oqDxTGXEztbcC/lTJRNOk4nA4fZx/oB/lKx4jkMIWeSATWHhfJFlqTLmZcRWetfCvmNlMBkS2CuwH23tBykC11C59TPqUc8ibwhnkTnuhURPySP/iCvZgPu4Q3MPaKgvpHW/jpHcUqhYfvaineLSktflToI/Iu0I+PYSmQkHQbIRwHu2Ws2LcH9ZK+3+ejdSIF7RpyXjN0VqgNagdEmuAdSAXcgXm6bBcWrjstxMAGYbbnvbaUOWJqfW8jAhogBoCjyIM9fm3jj/i9iIHRXB/fy/oUQOQbAxqDBPdCCqRRJ6HQWPLAP4JBX221+5EbBYLEB8GYJuXQC99pgcy7lx0HAlEcaRIB7jon0prYiggN0kas0ql7BveeEdb0PK0vxigyQR5O5T3A/OzXSxtyLUnFabU62cVp+66CYe+vIBu1u4B4bZr2LysRJHG29tOZFnDjX9rpw+uJYvtlJJb+dEpgsCQwa3CN27M1BAEQqbBz3iKgD1utFGg47KiLYzE2X9ik9FSNfP0mr0wggnZCA3j8bcC81xib9uk2J+thWEXU6qK0gFEQKg2AUidY/dSIeOCCi8gi7SFNOcD9Za2rUejM0cM9Ym+j9MPcWqTxtoBxQtyFO7nYT3BMi1hBYxKTLjQPoozDqUk/keWO7o2ByLbhI8ek0GEJyALrFiqEX/lOw0ZwIqSaALoUWBajk9WMj/AQwMNv+zllQoj/TpeW0MfeR0iMUyHGoF/KR5+d0Hc4JBVs/FgxboE3OCaYs21KTAHIpN0oncB/KSD1OKZGqVD8xhYIDwqXM1E8D0h7sBechjg0DImPTZDD33S6xEh2Ii1G0UWQGk5vgfrAqpQ3cW8PGlMFVhMw5h4NIy+kF3EuXM/YMJONa32xrHw1WTEjcxjnRIeuc048osNbM5ywpgZTA/5fATMF9p9NyHGxgfxOnOnLL4yhMB1TU0+Ow2SLi9kZFamZ9bBBoctnZ71427NsPJgW07eAOUWyf98KM028iygik5qVa2snut218pQfpmDoGaYJ7pIToeD23Hti3l5A+FY3OkhIYpASGBu4jf63bJVbCUcB2pGhgm7GxQlrys22CBHQtNIujnrNnMTDqQB+vvZ6bx+ADmph2G2IC2Mr1lheuzm6FgyE06PvARP2SCU6Luu2WBzCjCMHJ/cWsK8HkiyoAzRY2AC10R3E5LaftymxABkPgs7jJM95BBjYsAfiAizZQkn56P9ZSxAOzLV0CQyA/mtKTs47ZxJxLqbBBktLDwqqDvLEoCiXFSWlTiJHDSIYUeb3EKQeiHDYZOQuYE6R+Dgh5UoLGlXzIGBgLZ0rfmpuO1O9kBM4C9pbMGSagjUODmWUMgD8OH0eCQxVpOfZC6AunIyI7g1xAk1ZXE9wbM2wW+Qk9S4sxfuYiY26eMXzWjE3k9fS4XmTje0A7J7qbAaZH7CWxljndInqcVkBBG+yFkcpmvKNolzkpwpclJZASmB24j6Mb7b1pbnRFfNlQC6zSIday9UonW9tB9mDs2S86mj6OaDGAy+6LfAMlbJONuPWDJwB4gJhdk1ZqfdNJIn9SatqO5pWTD5S36RaRAXvkRITZUCX2f9XPzXeIR9yaXb8oy/MwjAs7m+fZs2VIRPgByQm76EudmEPESR1k85ARWVICg5TAwMG9jZ8AFobbQhbKB26xf9JsTGhG2d+kVmDWefXSSeI4SqkfWFnfBRikklASNt/UixQBqTFY+maxqdOC8T4FKAFotauXIhVHykmcflP/jsVOaWCh5RRi5P0NkAglRtnpB2cA4JYP7yQZrACwAZzHKTpRNyAFuADiWHJAmkIIxaMvFAZGIwogbhAx6Y6ZtB9B1IAixK6SoXoiXEjRUlQcoCgiHxQrbGv1LAAAIABJREFUcAT4A/k2QJG9DT/1Y8b0lQPG4WqeOoQxpdhtLJZLrTgBAasjDYcyBsYwrNoh1QNgFxmhTPVF+8moWYBGDoJ++NzeA9/n4BmLuO2Q3DkLDAgHQB+8i9K20TmuMe9lDizEZ9qYe8bRujGWjBEjTsZkbY2ZI9agNWotW3u9FPrB981fBdvlNko6gdNXL9YDx1AEgZOq0BFxHCwnWjuBe3/n8PuOuZUbqXsZjXxmIUmgX+aefbNXit63DunS5jGV1iY9a++Z+kXTAOeIlHMO2D62id2OfVnWusg0wg7hAxf4nC5RX5Q4HY79sQEXicRGs6+c/nqhIxB7bCFnBLsOL0QU3bsRUGxyMzOAY0E3velNbyrOBCcFMdi01/YEsNfIqzgmM9rAmSAjpJO+cD60tZ4OCxsgTtip6QjHhTQ3s6+DkcDAwT1Qh0GW/4Z9toj8DUjlWQNxDK9JH+ee8+ABBIUnDKhhfZ0fa3OkOpqL17PCaBRB85KkYAMsHgsb6AQK62k004kPALaY226o8137A4TYbCDVL0xmPQffMxQWz13/tN9P/XPCTRz7VW8HxwjYsUmQbLRblIBTFEUaA1YAmw248/rrioWsKFl5yhgO72qeOIAtpSi1HROhn5wfzgVF5r2iKJSw9zcv3OK8+U5bSJXsKXFML6VNeTUZFbID8o1znH6iLUC7PrUVjgsHxHhT0DY7Y3bMI2BONCRAnPnG8OgL2egL2XJiOu1XmG4+LJTP28C9MWWYnEBljDitUufMF1E38974Mf7Gu1cHyjy2Rn3fXKIzjCtHsG3PiHkpWmQPgEgTxi7mi0gQ9s++ElEyc56zmMefLpSZm/3sRwL9gnsAln5lw6wvtgG50izYcGvU+rU+4/hLOsShECK5cEGdSfe7ukVgo0hpZaPq0Wv6QXTcOqcL4qbYNluqfdJGHavrfRx9dqweCUBgsWVsXP34Xd9FfonC0zP0UdvGXjaWDux0ARXHABZij+ii5v4BxIPIsyyHpnPQz1jmsymBNgkMHNxPgpgBZ7l+zU1Ak9C37ENKoJsEOt1Qm1JLCaQEJkcC/YL7ue45MgYhJgrISZi0IrKA2ReBaLvQctL6m/2ZewkkuP9fmWOz5d8JOVIoGEmpRFlSAgtJAgnuF9JoZ18XqgRGHdwbF5E90dk46naSxgpbL7KcufaTNKqj1ZcE9/87HnIJedKKvEBKpX4qx2gNW7YmJTAcCSS4H45cs9aUwChJYBzAPXlJ/5OOI+21vvdrlGTZT1uk8UhPksLY3ITbTz35bEpgOgkkuP9fCcnJswGIApFPbgNslpTAQpNAgvuFNuLZ34UogXEB98bGOfn25TRvuB3HcbPPzMEYcfHjOPYh2zweEkhwPx7jlK1MCcyJBBLcz4mY8yUpgXmVwDiB+3kVVL48JTCmEkhwP6YDl81OCQxDAgnuhyHVrDMlMFoSSHA/WuORrUkJDFoCCe4HLdGsLyUwxhJIcD/Gg5dNTwn0KIEE9z0KKh9LCYypBIYG7p217uxxFyK13Rw3ivKSc+9cfBdb1M+97dZWR3bFbbD12zHbvuNMXee/uyV3od+W6gxhl5mRmbPqF0KxadsZ/y52cX7yKJY2cO8kKRe9yHs1d4dZ4o6KYb4j604JLHQJjBO4d9b9MsssUy64mq4MS38Mql6XQLrR1sVbWVICw5TA0MC9m0EBt8svv7xcbDMOxaUcLuuhTJoXP3Vq/z333FNu7QRQHd3VVlys44Y7wn7BC15QLmNqXng1DvIZRBtddmRuuB3QJVvXXnttuV13IZTXvva1ZT24iKXt4pVRkEET3Ltk6p3vfGe5eM4N0SeeeOKMm+kCNs6B/ru0xYVYTqVyyUy9uGnWHHGxmo3uLqmzJpu31s64IfnFlMACl0C/4N6N1G6pBXIBU/q7uR4RF251RdzQ6XEzfZuonRpzzDHHlBtbux05jThz+ZNbb9supHNh1sc+9rFie5FybrmP4u9urkZOuOzRze/9XmKIkHMLvQsp68XlVPCCAziQVM0LquJZcttpp50W2UBLl+kXeWZJCQxLAkMD98Nq8KDqtbjcguuq+7kq3gfUUAaDAPfOyrX7vn7r3jD74pZY0Q0ye9zjHjerV7lBluL8yU9+smDAfZvAGJ7TTz+9sPltt7LOSsgz+HIbc3/XXXcVZ9cV7tbNbIrbHx1v5+ZnBl5kj+PbvO2Y0+zmYTdVThcRm0178rspgYUogV7BPTDvZnfr0W3ibpgF4ldbbbUShQ7H3G2tIvRuRHfSHLDtNvGjjz66gO5Y326WZf+OOOKIUhcnge5rKxx/zxx22GGL6UYRc6A7jpRkA+sZArvvvvvUkZPLLbdcOVN+v/32q84999xqww037GnI3cjtkil9qd+oi5zgLNx4443VOeecU+pEgjTLhRdeWMicd7zjHYu13/cQiaK5eeR2T8ORD/UpgQUJ7i1Ux2pZfE960pP6FNnMH1933XULwz8IcK8PjuzEqm688cYzb1Qf33RjL2bmhBNOKMp9NsWtfJTkQgf3lDsDQKajwEy3gXuRJ+z5IMB9zBksGuCunHXWWdXLX/7yxaYT0P+c5zxnbCJ/s1kP+d2UwFxKoFdwf8oppxTw+epXv3qqeTvvvHNZs5j5o446qvzd+n3rW99aPfWpTy3/B/bZJyAck99ktv/+97+X1NRO4P43v/lNiRB4/xOf+MRFRINsAObV8fnPf76w//Xy61//uth3DPkGG2xQgDnnwndWXHHFEhXsRde6zPLYY4+tpNLUwT0nR31XXHFFdeutt5b2aYfoQhSOgSgCx6RTlJbj4Duve93r5nLo810LRAILEtwL+1t0zpvtNf2ml/kwXV4exluu9SDAvT64BOOqq66aUqi9tLHfZ+p9otSvueaa6sorrywRiOn62+1dFJt9GZME7vuVx+9///tytTpmDHuv9FtHv+M53fNzCe4xf6I31qF53HS0zXGX12DJsqQEUgKDk0Cv4P6nP/1pIXLqqXMYeSmVGPDvfOc7pVF+Ar31gp0G+m+44YbF0mEw+CuttFL1tre9rTDqzbLDDjtUUjgvuuiiRT7yN7fIA/9IkTbgfN111xVdcvLJJ1evf/3rp/SqOvWFQzIdWy4iwD6JjH/0ox+dAvf6vuqqq5YIhfRakVd7AbDz++6771RbkVcijt10Fwfp4IMPLqmpSy+99OAGN2tKCVRVSQOHJ2IN1IVyn3/X3dWqqnjEcma//vWvdxWer1kcQnJANPbNopC3K8/sPe95T/HsebZSEU466aQSgo8izCVXzcLZYostykLde++9pzahutSCQhAuW2uttYp372e9WDjeAzhYYPL7HvvYxxamO26GEz4UsvM+7zjjjDNKuz27yiqrTFXnPYceemgJvanjAx/4QAEdCmXj/zx4ob96Uddb3vKW0lc/v/zlL5cUFOG4SMv54x//WBgP6S6AP0VSZwCagpbWINePzLAH6sGOyE2miLVFfymgPffcswLIKR7KjAKWBnH11VcXVkSKRf3WP58LkV5//fVFnr7nOXWLDtgIhPHwTqyJMVWM0+GHH14mExYFG7PJJpss0nQKbI899ijOgTYZQ0qfIu6Uc095G0OyxxxjODgD3oVJouCFX7XbZ56tK22hZLIyfpwRc0Yb4pl//etf1Re/+MUSNvbstttuW1K1zPEYH6kjmB65mwyc9/gb54Rx0l/tJ3Pjr08MGuYGSyQFxWYw3zn11FOryy67rLBBjNv6669f/epXvyq5pIzlGmusUULJyp133lmMhdQrY4Tl3m233YautKYD99r0hje8ocx3URzsXTOlppdGmqfWHuNMlvQAWdTT1drAPWP77ne/u/rEJz5RZEYmdEUzb7+XNuQzKYGFKoFewX0n+Vjz9hDR+Z0KvctOsn/NSC/9x5ay6/Rvvfzyl78s9reN1We/rX96MWxw2/vZPzqXTvYcvYy5h0HYkm5Ffj1wjvmn7+j/OhQSFbCPEG5oA/dwDfsZN953ehebyEFig5r2cqHOy+z34CQwcHAP8AE0DDNmDqC1iZQXD1Qz4AAjIGsB+puFL0UD2OY4CIcBu0CTxS8MxykQxhMKA0DPPPPM6glPeEIBYk7ysFB40BYhg2/zXoQUvR8zKLz28Ic/vIB3CgUYBqgAbOkR2uKUHG3WJnUREFYVMPMscGhTIRDm/Tzv0047rWyY0bYo+msDopxBCx3IBNxf9KIXTW2oBSgpEf3xE+ABliiN7bbbritowkqQDQUq9Cj/T2oHwO67wqPaTUlyJigQIEiI9J///OcU268fQBaATGHpO4cqHAjjQX6KttlIhNEIQC7/EpPivcKwnDljb6NTpAsBtD6jWPVfPzE2xiI2XzWntDAnZsS4cDIoc3nanDZOhvkCzGNQtJHs1RuGghPBqQQCbWgyn175yldWW265ZXHiAEP1mCv6Y+5xIrTn/PPPL5s5zQtgHkg/7rjjijPBCyYDKV0UMhDuPeSMhVbMG//nPDh9iSE1X80vDoGx8JODtNlmm5Xf65urIqfTOvK5+aDvZOfd07FOs1EP3cC98bSuRLu+8Y1vVH/+85+LPGxc63e/gLHi9AAIHBdrkoNt3KJ/TXDPUbd5XXoQZ9naMvc4WGTftuFuNrLI76YEJlUCswH3iAs2A3lFJ7UVOpCNoq9Fqpung3UD93QtUE3XsUVRAGm2DVAHuOkduhJA5gggZqLQu/5Px9JpbIR/051SxjYiXehcGACBwbbVwb02cVi0QxSb80AfskX0kO/6Dv2PGPNd9qapIzkR9DtbnZtrJ3WlzV+/Bg7uoysAFGBUB4cAm8UJdAJaigYACBYuhhIjDQQCdlhi0QLPYF0tFqyocFd4ujfddFNZjECbBQKcYnMt7gh1OZJTfcAvphALC1xi4uvXQAN3PH3A1MK2+DCylAhQoagX6MAe+y5lANxFDp5ngA759RY6UBsFmPF3csBQ6oefNhdFUScFBMx2Oy6To0AmlIrUDuWvf/1r2ejq//qsbZQLthMgw/oHcAIcKSlMCEAOZGkXAIXlxqxjVihaToQCUPmedwKvNthydjgFvq9INaHkRBPkapOhtBOh0Hre5pOf/OQClo1BJ+be58YLKI5TEDhpm266aVHo2hJgmhw5UcF8A3zaAVRH8bt5Z4xt6DWv/K4/CjkBncCmMeBUYG/MhyghtwD3AK73GNsA957FRos86B8nRuF4hJEB6DkPHF3Og7lrvpOfvpnnjFIU+eccSXOY4zWs0gncc2yF3TlCIStOpfElo2Ze7HTtq4N7z26zzTYFBADuDDcmvgnufeZ9noucWZvuOMaiX2SUJSWQEpheArMB96K/7AQCq1MB3jnebHHbgQ/dwL0IKjsOPNdZ9iBs2Dj2j/4R+WX7kYZ0bf00HMQXfS8SQHfS6/R0pwKEI4zYqxe/+MXlsTZwj2yEPzDz7M0DHvCA4sRoQ6T8YveRgAhG9SLI6Kc6McNJIhtRUCRRlpTAICUwNHAPpAMhdXCPEZX3hsm1MBUg1FFYWGxsAIDEm2WwgVdgmJcMnFoMQBEGEQBVgKsAZxaR72CxAVWLrq10AveYad8LcA84AOBYYVGGtuL9FjqvPJj7YPcbWU3FCcEQR849ACMP32Yjjgvwrf9AJoa02/nvbeCegySagPWgzEKRfOhDHypAkbLFZHBEpBNFaFN/KUZKhvPFgcGEiEgAk9J7lCa49z6OBPAaAFYfOGeUN2UnImDMI2oSMvQ3yrdbzn2cwGB8AXrF2FKU2iQSEYVcOQkiCfrjee2vn8uuDU5U4KiJ9nDCzEPzDzjkcFCy5qHxVCdlX88J1TeKP8A9gM6545jWwT2lLTJQB/cMhT5bE53APTZMWla9z/oYG9C8m0MyiNOW2uZzN+aezDl7USLCEM5SP4qpCe71j8z0P5z/Org3nzDzHCTfjUInkL8onGeypARSAtNLYKbg/nvf+14BsPQn/dipWKP0P9vTVrqBe0QCQI5gqu+JY6/YfqCZox9FdBfQlu4ZDLjvI81EbUVKtQeuALYB77ZCf8sAYOei0Deiik1bzrkRWRDph1VgDSSZ9GLOBtsFu4ia+xuiEe6onwwkbUj74IFm/dOPYD6REugugTkF94AzUIf9i7PvY2EGuAdygS4LBnOLLRTes+B5zNhZLDxmNjYfhqKyaGOhcRpmC+4BvgD79Rz8ukib4B5TTolwYJoLtnlaDpANgAKrAUyiL0Co3MI4D947KVPPA6SdwD35AJGiEMFuUjrSUmxOwu4r3u1dwoXArN8x7aItogfqidNROoF74yMyoZ0UWPTXe/0ObDME9l5g8uuAtJfTcgLcR3qKdmNzyEvb1B1F3Vh+Dor2iEhQ9BR+FEAcgNRP9QCLAKr0KX0xPtKvyJ6SX2eddUpaT/00g2GD+7gfoi2nlONmvBgVbP8wynQ59/WjMJ2eRFbGlwPUT+59E9zrC4OJwSd7DibDCLiLnonYCLOLuNUjXb5Hl3AipQGKNmVJCaQEuktgJuAe4UQ/IO26HYWM+GDX2apOpRu4l15Lt3DY63ZXvYgZddfPxg/iA/CPKCs9EHus2CI6g01Eeom6N1NkRKF93360iPjTZyKpbCYyBvmDyAhisd43pI1oA12oYOn1X1RTfXQUPEKvR4EVwvlIcJ8rdtASGDlwL5WE4rGwpPZgoaWn2OQpnx+Ax3xGmkwIJBhpisfix8A2b5mlULDlvTL3gAygDBRH3nm8L+pqgnsgFvMqJaMXcA+g1tMv1B91A5qiB+GkAHYcDuC7H3BvDwPFRknJJa8XTDtFFycbUFLAlBCo8CQZdAL3mHCAk0KLtJy6fPSfMsV8UJL18RgmuCc3qV7GzubVKCIi0mAoauywORYOEBDPGGCKGBFgX/+b4zNscM8hcX6zoyKbp0jISefkclyHdcNxP+BeFMX4c2SlJvVT2sC978th5YABEvZDIAMAfOk4xgZDR2nV8+u9W9QsDWQ/I5DPLmQJ9AvugV8sPGKp2wkw0lQi4ttNvt3APWIJScNZr0fMpeBIWeTgs2f1QpfL/xf5YzPpDWQBXR+FPUAaYPKbUXHtoW/pmbAJfiIatSVO2kEaNSMWsIboPYwShd2Qe490kOJJZuwPYjPy/oF7e6mQNam7FvJqHE7fhwbugSWgEBCPXe3CT9I+sKVxbJZcNeyqNBEernQEhjty1aU2WNAWLcUiB8/ix+bHddRAJsAOEAUgB+rql99gfy0moDLyl+XrYyAoLu8EnCkG4E7OfbCFgCJGNQCV0CTmV8oHMB9pOQC9glWWltTc7R+XWPHw1QWsATGcEfIAsjkLUh8oGmC+U9FPIUOhRHLRB20hGznyctQjLYfykJJDQflepNBQRsZCXiQ2Avset+yG3D/+8Y+X01EUjpbxwT4A6pwFdQqfUmSYb+8UbgQS5azHhUVCnUB+lEjLARDrJ/bU+4thNw71jVuRlqPNFG0UChdzry3CwXIv/R/7E8UcA9i1CxtPLr4Xc43id2tqOI8MBvbenIjTHmK+RloOucdZyhwihaI2J8wRMg6nxnw0XurHvIskGBfsFFDPedV+jisnlmGpF3NGFMY8HVbpBO4x9BznelqO0Ly2mPeMqKgbQ0fu022wBRTMb+PYLMLuUtsYQXKOjXKYM2vY/AtGj8w4u6JlUsiypARSAtNLoB9wT58jiOyrwTRHof/ZnEc84hHlT/SffU3Invo58vQgEqBekErSUQH1+hGSnqFT2HK2qE4aAMfAMP1OV0eRHsqmIah8Lv1X3r7DEeiMKOwuBh9BQ7cA9EgcuqtT1JEdpqs6gW+kov1R7Go93cd3/I0dFRmnw9iBSCHWJimFyKYmoz/96OUTKYHpJTA0cA9cWuTSWuSgKcJhwEOww/4GpAOPPH7gUk4cBcH757ULs2HrMHMAhkUD1AJvgBom3kKnfBh4njcPHqiSbiEchlmkzDgcftrcSYEAeerhPEjzAfwxh/7FaSYAvFCcdAEbUIEvnjzwDpRScIC5RQ54KvK+AUaL12Zc7QJIKDFKD+vAAQCsRQSkr8hdxyZwOGz25Bh1u2gD6AaMyJnSAOilNpEZxtPnkbbkJyUCzAKvQDiQhNkgC+0HtLD6wBvAJCXGRlZtAbT0x4YkAErdWBX56EC9Z2xUkucOLMszJ0sbr8jA5/pPsZKnPHtAF/A2H/SDAowS7Y6j1KQU2aAaBgRwVifZRtF2chTOVSK9BVvjd8X7pXpQ7toLqKuDUTDexp2czDmOV1y0RF6cUkpY283RAPfqNc/MV7IDOs0J9VLsHEnzm/NkHZiXnEZzB7hnhDgxZCokTGbmOKNiTANM+zvnmAHt5vRNv+S7P9EG7hlThtipDhwTcubg2iBtLkfqE7npK7lh37ul6XAUOLKic23FejZeomYB7ukADJi1aOyMh/lIh3iuPodmK4f8fkpgkiXQK7hnJ+g3No0dYOcUjjz9RnezsWwwOw2MA9Shw9lKdUQ6X/ydraJH2JRIZQl5W+fqaaZE+jx0AKeA/UGu0M1wgHRd/dJGOoM+8Df2kY6lcxAnbALdxK6ohz6vH3xRH/e2DbV1O4Vggh/qp/r4nG2FZ+gpelNf2YQ6mRE4QbuGSdhM8jzOvnWWwMDBPU+esQdEoghFAZwAYRSgEngDtBSLzcTHZFImDD+mEmMqxGUjYSgkKRVArZN0hOoBIMAp2EKLhiPhOYueUsJ4BoNqoQMJfmIfhf1tdrUgo0QaCVYAAx9n4wNj2h57AOq5z5wPOXaxsRPQATowiyIJNtOINmgbJkOfgV5/F3LUXxEIkYJm+kxzCEUr4rQSCowsyI/SVQCfOIfe/wFOQMgmVKyJ/lI2mGnFWADn2qR9ZEb22gv8RiSD3LAkQDKlRVnrAyXIudEHfQXiI52IIsfci1AA0cCrZzgvxpZibQJBpxzUT7oxvhyeuhIlQ2CUsweAKsZSe7HHwq/qZ2A4PRwOdcTpPNJbOBkYHO+Xp6m+OCmBzIw9mflcm9UDXNbBvXkN6Bp7zBGg7l0cHd/FbNk4jSWKYmzMTU4iWWs3JxL7Q6aiBcAtR0l0KTaYT3eU22yVXRu4V6fwMtBuLRs348H54CzG2PnMWGLOyKitYM84tjFe1hGnM6Jw8R3zWP/N0/oZ0GTMEHJyrGeAgm6pXz0/Wxnk91MCky6BXsA9W06vsS9tRZQY2RERz04yax4OAHizdyICUZrMOPIFoUM/NgunAqlAJ9Gt7B49XreZbI69VwA8Pc5WcSToLX33Pp/R1+oB0NuKCG+ceNP8HHbRFgC/GalUP12HpLFXUHs5EvVCl7GnZJh7hSZ9xc19/wYO7ue+C/nGlMDcSYDCZiDq4H7u3j78N3UC98N/c74hJZASmCsJ9ALuh9GWYO6nq1s6J0JIRL/bqTzT1TOqnyMvkISi10i2vKNjVEdqfNuV4H58xy5bPg8SiHPu2zZZz0NzBv7KBPcDF2lWmBIYOQnMF7jvRxAi3yJ39dPK+vn+KD8rM0B0WqReBCRLSmDQEkhwP2iJZn0TLYG4iC3yJ3tlosZFKAnux2Wksp0pgZlLYBzAvVRThzAAwfXLJmfe69H4ppRjaTr2JTVP4RuNFmYrJkECCe4nYRSzD3MiAcd61m9BtdHW5thJKgnuJ2k0sy8pgXYJjAO413KbY+1Fsr/KvqVxL/b1Of0NsO90M/u49zHbPxoSSHA/GuOQrRhTCSRzP6YDl81OCSxgCYwLuF/AQ5RdTwnMSgIJ7mclvvxySmCyJJDM/WSNZ/YmJdAmgQT3OS9SApMtgQT3kz2+2buUQF8SSHDfl7jy4ZTAWEogwf1YDls2OiXQswQS3PcsqnwwJTD5EkhwP/ljnD1MCSS4zzmQEphsCUw0uHdZ0z//+c9yWRBlNojiRjx1DvOW0F7aqQ0uX3KhkP51Kp5zYZLLpbrdeNvLO/OZyZdAgvvJH+PsYUogwX3OgZTAZEtgIsE90HvLLbeUm1Cvv/76csOcWz5nW+zcd7um3e7qn6/LNX77299WJ554YmXwnAXcvPmu3k+3tG699daVIxzt0M8yPxJwSoKbCN3KuPTSS5ebgePG5PlpUftbE9yP0mhkW1ICw5FAgvvhyDVrTQmMigTGAty7vvq5z31uYZ97KUD49773vQpQ+eUvf1n5/uqrr97LV7s+gwV33fSvfvWrarvttlvsyulZv6BLBZ/61KeqnXfeuTzxs5/9rDrzzDPLtdcnnHBCtddee3X8pv5//etfr174whdWq6yyyjCbmHV3kMA555xTffvb3y4OJsfs1FNPLb+ffPLJ1WMe85iRkluC+5EajmxMSmAoEkhwPxSxZqUpgZGRwMiD+9/97nfVvvvuW0DsQx7ykL4E99a3vrU677zzqgsvvHAg4L6vlw/4YX3/05/+NFXrNddcUz3taU+rjj/++OpNb3rTgN+W1Q1KAm4i3GCDDaqPf/zj1UYbbVSqveSSS8rlJZtuumlxvEapJLgfpdHItqQEhiOBBPfDkWvWmhIYFQmMPLjHbrqiGZhdaqml+pLbgQceWNJRxh3cH3300dVBBx1UOVM9SoL7vqbCvD186623Vs9//vNLpOfDH/7wVDvs2Vh22WXLvH74wx8+b+1rvjjB/cgMRTYkJTA0CSS4H5pos+KUwEhIYCjgXl7xnXfeWf385z8vDKVcY7+vsMIKJdf4Pve5z1Tn//Wvf1U/+tGPyuf3v//9K7d+Btj56le/Wr3uda8rG0ePO+646qEPfWipr1N6zl//+tfqBz/4QXXvvfeWFJQzzjij+spXvlJdfPHF1W9+85uSTmPz6dOf/vTqEY94RGmjNBv1Pfaxjy3/tOfuu+8uufrrrbdedccdd5R/2Fc59rfffnv5XDttULVpVz2e32yzzUo/brjhhhJl8P373ve+iww0sHfjjTeW73kvwP63v/2t3MDnX71IA/ryl78exYTzAAAgAElEQVRc8uq1H8ur/c9+9rOr6667rjD3H/vYx6pdd921+v73v19u83vSk55UPfKRj5yq5g9/+EN59vGPf3y13HLLlb/bFOx5/VhmmWWqBzzgAVP9aZuVrsvWp5VWWqnkiUt58i7tXXXVVctXyE0bpQGttdZa1U9/+tNK1IWcjJty8803l3+KdsZ3451//OMfq2uvvbZ8j2wYIG31+yabbFL95S9/Kd/Xj0c96lGlD571vmZd5txtt91W5OvZ+rwjb2NmPjzvec8r888Y69+Tn/zkReanMfjhD39Y+mUspdOYJxh5qTZAujaSi3ExV6+44ooiH+1/znOeU33wgx8sz+23335T4iVzNy5efvnlI6EIohEJ7kdqOLIxKYGhSCDB/VDEmpWmBEZGAgMH94AgUG3DJxALXPs/YAr4+PuOO+5YBAB4ve997ytACfD/whe+UP72iU98ooDR0047rfy7+uqrq/33378AqNe//vXVkksuuZgAAayddtqpsPvy64FswJijgLkH+uU+n3XWWeWnNtx0001lM+r5559f6v/ABz5Qffe7363e/e53VxwL7bAhVbtcgc0pkQZjcyTADHT67rHHHltAmnf4/Tvf+U55/9vf/vaSFx9FHR/96EcLoJRi41mgjwPzspe9rADBetEnbReBAK6POeaYApT1U9uB+wMOOKDUAaBqp82zJ510UnFe/E1+N8ZYP7bccsviVOgrcAnYc1ZOP/306p577lksMgKwe4/P9dtY6eOXvvSlMmbeT2aYae0EYjk5u+++e3XllVdWF1xwQXn3m9/85vJdAPrRj350mQscAalW9lIogPZrXvOaAsTXWGON8jxnjaxe+9rXlp/mwnvf+95KuhX5yV/XZwy49+mzoq3aTKZAuTnIQfI9DoQN1mR01113VZ/85CfLfDDeDJ7Pttpqq1IPWWkHJ2jllVcuIJ+jaA6vv/76ZR/Dj3/84+opT3lKGYdddtmlgPpzzz23/L7HHnuU/nNaY76bQ+aBMeTI+O4olQT3ozQa2ZaUwHAkkOB+OHLNWlMCoyKBgYN7TCeAv9pqqxWgDmBjaYEawA2ABciwoGeffXYBV5/97GerJZZYooDmpz71qdU222xTABRQdPDBB5fNo5hgz3Qqz3zmMwv4B+QUwDiAk78B/IAeRh/4eulLX1qe44BsvPHG1atf/eoCHAG6d7zjHdWRRx5ZHXHEEdVuu+1WAJ2IAecE+AFufY+TgU3WXs8A+sCqv+sHVhl4Br6BSowzYK1u5ZBDDinvcPrOi170oo59c8pNOD7xUKTl7LDDDgVU6zuAymm59NJLSztEUMjfM2Sw+eabF7D+qle9qvrmN79ZIhHAKNlpf3NPg/EznuQlOiB64V02gQLEcv232GKL8rvxBaj9Dbh++ctfXl122WUlSnLVVVcVJ+Bb3/pWcYiAdkw758JnHBbMPKBsDnA8OHS+C6DbTByOhkjAs571rLIZdfnlly99NZYiO04y8n2OwLbbblucIYXzIc89+mMsVlxxxdJfDogIhH5i7snafDM/OXccU/OT4/DrX/+6RGP0mZPmXaI15hnAHsU80x+ybhbHkmL4zeuYg6OiDLQjwf0ojUa2JSUwHAkkuB+OXLPWlMCoSGDg4D46hjGXtgIQRQEOAXZAE7AEquSSA47AuHQJIBvQlDYBJAPAwB0w3SnnXnoEAOdUHEA9CqYWMAVkgXtMLVBXB/ecBt/RBuBeAb6BL6kdUj6iAP7qBOS0J47ClE8tt7+eEw9kaw/GXVSCE+MdQOjee+9dqlT/2muvXZwCDkKn4jMgtC3n/iMf+Ui15557lq9ixjHMng32Wd9t3AxwL63Fxk79A8QjGsGJ6ZTuxGnA+mPO9SEKAM/pALClmHDWjJ/oB1Y/is9EXDDzZMhJA74x+OS24YYbFvAsnUgqTRQsvwiO8fIdbP8Tn/jEwpKbNwwU+XK8APt3vetdJSVL/4xlyFT/yaEuP3PLXDD+UaTu+Fs4m46sFHl5y1ve0nFsODL77LNPOcEoUoOMLwAfEar6lzlCoiQh+1FRBNGOBPejNiLZnpTA4CWQ4H7wMs0aUwKjJIE5BfdSGbCyAe4ByzXXXLOAdsDL/wFmIF+aB0DXC7gHuI866qjFwHhzQ22/4F7qDTA5E3CPcdYHTgDgisXGpnMctFeRuiPCATxjgGcC7uun5URkohu4947DDz+8OBmYb3ng2trtJKIA9yYL8B4lHJZ4H3AvKgDcY90VOf+cJ9EcDL1x9s/7AGygnCPiM2AaSI7CsTI/PvOZz5S9BgHutVk6FQMlDUj9UoEA0yicQ06HVBoMvBSeJrjnTLivIIpoC/b+c5/7XIm6APr6LC2oUzGnjCvHQDu9B/vP4azvLfF981p6FFZfKtEolgT3ozgq2aaUwGAlkOB+sPLM2lICoyaBeQf3AGKc394UDpa3F3AvzxxokgZRv6xqlMC9lB4gVv420A/cYZ+x+/7f7cSUbsz9TMA9OYsaSH2Sk4/tJz+57m2lE7gHZrHTF110UWHP28C9FBjMvLx7QL5Tsf/AeGG2RUKk63AGRTWMr9ILuAfg5fJLdRJtkPoi/52MewX3oglAP8dOihZnqFuRl3/ooYeWsQT2RVDC+ah/D2PP4dh+++1HTQ9MtSfB/cgOTTYsJTAwCSS4H5gos6KUwEhKYF7BPWZevjdgKS89CuZUfji2thdwL3XCJlg30joTP0qAeykZGHJsLma2flurnHgpPRyMZlrOIJl7bZIyAqhqhw2pL37xiwt4bJ6S05wpgwT3+kSxY8XlmcvdlyKDfZb+1A3ccwRe+cpXTj0ix56DgqXGsLeBe06NfRYYeSkw9dQq8vB+aTOKutQhLx2rbkOyqEKUXsC90484GqJDca68qIgUoF7BvTQg8xHzLipgPtYjGxwOjkOchKS9ojP2VBhfm2U5Jm2Fw9o8QWmUNEOC+1EajWxLSmA4EkhwPxy5Zq0pgVGRwFDBPQUCkEWxGVFaDiZY+g0ggRUFiPwuv1qKB9YW0AaCMKI2NUq/sHkVIAXU6wULLcdZwd5LN1Gkb2CXATtgVoqIHHdM7mGHHVbAHkArR1retPP0FZtcORVSOhyNGAUwA0Dl3HtP5NwDxwBfHTzaxMqp0O44mhIwlttePxUn0pG6TYj6hlqpPFJYHKlpc2k9hz/SfOo5/Bhrp7rYWGsjqBN09JlDFKcOAdd+971O4F7UQZ4+JyoKmdskDZADwuqVV++0IG2LIhUJUOdYOa1IPr50JXnngDNgrA57LZxiUy91+WDFsek2JWtLPS2HXM0lp904fShShWwq1j/HU6pLJIH89LeZlmNjrDZGjr+xdseA+SDyoI/2GHDOzBd7SqKIgjgdx1zQx7b9C+YCR1b74ljSUVEE0Y4E96M2ItmelMDgJZDgfvAyzRpTAqMkgYGDewAao4tBB84BHfnITkLBwgJVgCVgR8FgpaUzAM6KtBqnlXAEnJDiVBT51Jh8aSPAbFuRzuGd6rR5U/62XGsbNG049T7ADZuvDoAZuANCpYRgX23IlKLiWcDehtE6s64vgB7222kpGFqOgw2XNg4DpgCv1Buf+ZvNnxwFoNKmXrLQxzh/nSMi17vbaTlxqg6ZvOIVryin1jh9BggF3AFQG5L9n4OCqY6TYvzfePgeR0k0BNjVDv2TI05OWPm6I1OXMWeMvMjPfgEpRMaMU8UhkGLk/xwmwN6xk2TCWYsifUeqTNyya3zIK1JUPOs4TI4etp/j5Dx58pFaY16ZrO95z3vKaTjANSfJWPob2UrHsXlZ3r8xAvgBeWPJyeHEqd9c5PiZi+aafjsznzz0BcA1Z4wfh0zakfbov/f4Ths45+hwYszXtsLhM0aOTXXizyiWBPejOCrZppTAYCWQ4H6w8szaUgKjJoGBg3vHA2Jjg9UE0DG1ziHH2gO1ACWQKC0HkAOQpW1I2ZAGASRFsRETW+r4RJs51dEswe46PtF7AHVgVOoLllV6RrDs8p6lbADbALUTTrzfcZ3ei/HFgHsP1hfojJNngH9HTnJagE3AT13e52+eBxRtbNVeCtR7gDppK+rBUpOJ/opC6L8TX6QKRRpJs3/qiNN4AFAsvHQi7LBNmqIR3ofNJ0My42RwmGxulVISF2V5h0uoRB7IRx1STOp7FZrvj5x7x2AC297jSFGAPRhqzob+Og0JgAe8m+f2A8kYe89IAyKTGDvRGfsvOHDkL0rjM/nr0pekTTlKE1h3fKf+kgXG35iQpfcD1oA9J4MDAcyTHydE+pVnRXOMV7zb/AS4zceYn5w6z+iL+WEeGTvOlCM824pUHA6M97YVzD3Z21PQbQPzfCqJBPfzKf18d0pgbiSQ4H5u5JxvSQnMlwQGDu7nqyOj/l7HK9qkKZ0EOPUPkMSkA6h+F3EYxRLgXsoLVnzQxck0IgscJSCdbPyUBiMKYi+Fy6DIalSLlCQOghuDx7kkuB/n0cu2pwR6k0CC+97klE+lBMZVAgnu52Dk4gZeudbSeSIFyaux+HFuez1iMQfN6vkVQLeog/QdOfWDLphsG2FFE4I99w7g3r4FG2+x9AzSKBUsvAiMFCcnAvk9IkSj1M5+2pLgvh9p5bMpgfGUQIL78Ry3bHVKoFcJ9A3unfkdt8D2+pJ8riqgWFqJdAypO4CrNI9I75FHPopFCo5NtNJmpMfIb4+bfwfVXqw3dl46k9OT5MJLv5G+IwfeXoHmmfGDevds6pFCZkydrCPVR3rTuBdjLaVLClOWlEBKYDIlkOB+Msc1e5USCAnYGygLoi0j5D7/rh//UlUlRUJOtA2OdfY5xdldAoCp/G37AeRdRwFg5Wm7LGkU5Sk1Bnitn3gkNQbTPqgUGVMM2+2YTHny9i9EcTKOy7Di4qtRmmfG1EZdpw/Zr2CDrE3No+iE9Co3bb/22mvLhmlzMktKICUweRJAmkixRNTRWVlSAimByZOAA08cbLLrrrsu1rnFwD2QZ6OqHHGbR7P0JwFsCQAVABBolZbT8KH6q3TIT2tzPR1GW4H+QRcyCfmoOwA9+YxqCdlo4yi3s1f5cUDtbXB6Uxwt2+t387mUQEpgPCQgeuxUOKeTiRxnSQmkBCZLAvCUbAKp3pz4ZlkM3Dsa0IZKp4dkSQmkBCZPAplzP3ljmj1KCTQlkGk5OSdSApMtgb5z7hPcT/aEyN4tbAkkuF/Y45+9XxgSSHC/MMY5e7lwJZDgfuGOffY8JbCYBBLc56RICUy+BBLcT/4YZw8XtgQS3C/s8c/epwQWkUCC+5wQKYHJl0CC+8kf4+zhwpbAwMG9jZB24HfaJBqbEN1gO84ni8xk2jiJxM28zkR3A2rc4juTusbhO+aBG1tt6JiEM+DHQeazbeOgwL3Tn5onQFnvTuqIdR83NEebm5/Pti/5/ZRASqBdAjMB92y6G9WdlNbJdtfXvQ36/rUV9cRFhXWd0Pasm8sf85jHFLsZpU2/uFW+3q76M/rbrd319zocwXf9jJPumrY6dNd0Oks9dazj9vVzzjmnOvDAA0fu3pZcK5MlgYGD+zvuuKPaZ599qi9+8YtTxv1JT3pSmeAWtDPBV1pppXJm+rbbblstt9xykyXRDr25/fbbK0rqne98Z3XYYYeVs9snHdzbre1c/B//+MfVn//857G/4GkhTNRBgXtz/U1velP1xz/+sYiNcd10002LYXvYwx5W/nb++edXL3vZy4peeOADH1i56+HTn/50ueMgS0ogJTA8CfQD7gFZd5B8+9vfLvYLYfP4xz9+sca5iPDYY4+tbr755uovf/lLxe4ffvjh1VprrbXIsy7/o2fuvPPOsu4d1ffGN75xseOV6Y73vve91fbbb1+tt956i9RBb7j1PYr+eD4uEXQ/C9tz3XXXFbIRzlAPookT0Kn87W9/q4477rjKrexOEvLsuuuuW7397W+fOh5YfcD5RRddVHn+/e9/f7XDDjssVqXLK/fff//qoIMOWkRe+r3XXnuVvjVlM7wRz5oXmgQGDu5DgIz0TjvtVIy336PccMMN1YknnlgWEGN/8sknV6uuuuqCkDuF99jHPrYosoXA3BvU0047rVzgleB+PKb4oMC93mKpdtttt+rCCy+s9thjj3I7c7OceuqpRRd8/OMfX8yAj4fEspUpgfGTQD/gnvMt6nzSSSeVW8rZ8Ca4F5ndbLPNCgjeZZddCqB2I/vll19e/iH0lGuuuaYcs3v00UdXe+65Z4UMdKnjm9/85gL46+Xggw8ujH3zEp4f/OAHhRzbeuutCzHA+XjCE55Qbb755uXr/q9O///ABz5Q/ub2c/fzeA+d1Kmwy+524Ti46wN7rz+33HJLxSlRjjjiiOrII48szsS5555bveENbygycSllvXB0ll9++XK7erO47wYJCoAtFPwzfqtkvFs8NHDPY+a5v+IVr6jcQNosGAC3YQL/btISmpv08tvf/rYoIUptoYB7oG333XdPcD8mk3uQ4F6XXdy21VZblcvJbrvttkUidQzzu971ruLkb7TRRmMioWxmSmD8JdAPuI/efve73y03iLeBe4SVSwgB77DlLtEB5IF07LX1/upXv7qw6S4AjCJV9fjjjy8OhAsBlcsuu6yAZnUuvfTSiwicvjjvvPPKbe9tBRBHonEk3NkRgB/ZKGqIZGi7hNHdPXQVpwDjHgU+cUrgL37xi3JuuDb696UvfalyPDhHh7NSdxr0he372Mc+1tpGToN+kwkHpFP60vjPtOzBfElgaODezZ1PecpTOoJ7k3qppZYqYS+L5DnPec6UDHjeka9LCZn4nXL8Ig8wcvw9F7l19Zy7ej5ep/pjv0A0JMJ39T0E6q5f6tQcuGbdkbPnuU7g3nu1NXIQ295RzwOUzlOXSXzm79pGtur0TKfUH5+7mjguj/LOTv1Xf7RNner3t2hHXQbRF597FtvDmWky93U5NeuJzxgJv/vXLS+zXld9/OdrUY3ze4F7ua0bb7zx1Ji3jXM/fWS8GPfnP//5JZQdRZgfQ4bhaltTsSY835zLMefNN9/1cyEQBP3IPZ9NCXSSwEzAPVC+zjrrlFu5kVT1Qu9a31jvKNJSsOUuvwT03ULOifc30bq6HpCS9773va84AgrW/EUvelElslcvQL00nhVWWKHab7/9qle+8pWLgXxpQWuuuWaxOx/5yEfK19lwN6trYx241+sG7nfcccfioLjgK4qL/T74wQ+W1KR77rmncnO6G8k///nPl/97l1Tbvffeu3xFPbCPdNRuKUBkRc+KcK6yyio5WVMCA5XAvIF7vRBas6DlrB1wwAHFSPN4hf543b/73e+qJZdcsqSx8PjbvG3etNz9q6++ugjGDboWNOVwzDHHlHoZfvlzcnnVq37vUb8cPfXzzC1KuXPf+MY3Sl2+J6eOkjj99NPL33yGOWgrcumAI3UDH5iFtddeu7ASShu4947Pfe5z1Te/+c2S06idGAaMJudHoSSxDVdccUVRkksssUTx9u1buPfee6svf/nLRSm+7W1vKyAIkPrrX/9aoiIYhTbFgX3ZYostykZXPykq36F4L7744qn+/+lPfyoA7EMf+lBhQyhUeZTa63vkUt83IacaY6HNxksf1FcH94yEaI4cTYpY6FWqlvxDuZLkBfDplwlKPpdccknJyW4WexmEgn1P2hOGmCykAnVzwga6iiaoMuuRETMuDJdxMz7WzGqrrTbjnm6yySYF2Btn6828tab9HxvWLAyfPRvWkrZg08wJc83akq/qGWtYONxzd99994zbl19MCSwkCQwD3G+wwQaFaQ8iji4GxKWusHPSc5B4UnHrqTZAPybcGv/KV75S6gCezzjjjPL9KNa9PPoLLrigpMRg6OkOtkk+fb0A6fQHW8hmIRDpC3rMvr9ORVvZX84Lxh6RxRlgh9g/5dGPfnQB9PLy2XzPAv/6FGk87HdEITq9S6qQyAad2y1VaCHNy+zr4CQwr+D+rLPOqnbeeeeyKAByxhlglZ8rlUM56qijCmgFAoTp2gowAvgBon6vL17gHhjHAvhsyy23LJtZoi6OBTAIkMYC22abbYoCqZ/4A7R71maiTikE2gp8hyMAjADklEwncA+4nnLKKQW8A+GUEIaBQpHbR0FiJ57+9KeXMJ5CcdmMKHRJ0WDHOUq+R8GuscYapf3y3aVF+dnmGOkflpaCNBbBfJIX8O5zStRnHJxnPOMZpQ2UHEcEUyH3MNqlLxgMstQOjASQXQf3ciz9Tb6hECgnwNh5j1Ctn/Iiv/CFL5S0LZuZbM42NhFijTkg8mCucNi+//3vl0iC8aZoOWXdlPjgltBk1cQhNvesR2POgArFY5jOPvvsGXeWk4D1s0Y5deaONWitNYvwv/XPuMqd5Yhy/ML4X3rppcVxxQgqUn/Mt04ndM240fnFlMCESmDQ4N46tR7tr/G7gi1HloUtDaa6CdqBXKkt9Ax7KWWV7eMMWNfNIqKHWf/6179e7A2ATf+zkVGQZG95y1uK7WM3kAuIrl4KB4BNo7Pk9bNnyy677NRX2Rf2li6zn5CuknKIZPAOBAQbh8zjeLBF9N3qq6++yOu1G0Hme/qSJSUwSAnMK7gH4DDtDLxwm0XNcwcsgw22gGzUYcDru+GbQrA4PGcxY+EVbC6gyBu3Kx+IB87VH4tV/S984QuLclC/SAH2GlCtgwULHCD1nk7g3udYaew+Bh3zScCcE6XJ3APuwLeFT/lEwVpgL7zf+yiTiCZ4hpLkrGAYACCfURKcCyyFQgEC6dqjv8KEzYLpFvUQYQDcAtwD3ZyM6D9Fir31bB3gYWiwsBwvhUyxsdob5YQTTij9C+YeeMTU1HMRsTHGXgjW94F6ezJCYcfxa832Rxh15ZVXLmw/gxUbeEUhRDiy9CeBAPdCyqJOZP+0pz2tevjDH75IyL2/Wv/f0ww/5924WBOxLpp1MfKAv7kQBbAH+kVwrGukgDYGm2bN0iFZUgIpgeklMGhwD5Rjodly4J0tYTPpdZtKkQTTgfv111+/OP5IABtOReym22xqkyvbiRhj6+oFs84m0hk+R1gg96YrHAPkgawAjgcngV5kD9k8P0WvkWp0GWKOrUV4wS9sl3QcuAJWkEKEyWfPHvnIR069nv31Hu1MYmK6UcnP+5XAvIJ7gAwgxoqb/FhoixlTG0da6RBmX0MtnNgR39ZRoIDSslikg1h08rEjF47n7J/6gfgojscCLH2Pg9AG7oHRfffdtyu4p2goKEDY4rdLvr5XoAnuKRHAiRKJ5/yMY0MxlurkrNTriX0ITiAAdDgsQBPGAWMQRZ/0DXMCsDdLr+Ae2y4aAFAZhyjaBIRR4ldddVU57YScIuriufqGWgrPEWIiGvX+xL4AbfU82ZkTbRu3Ok1wUR8pQdI1/J7gvl9V8P+eJ/fnPve5xShJdeOoYade8IIXLJIvP5PaObPmhshWnP/crEckx/tFwOqFsxyGlEGkJ6wna1vonfORJSWQEuhNAoMG994K3DohB5CXToOkst4BfDp9OnAvOoiIkvIiXRQJ1Esuuki8VB/kXERr2fI40jIcD+QT0o5+6VTYOsSZtsII0n0QbI71jfTatu/SbYhEkWOEg6gD4tJPUQn9kO8fUX11YPQRdPBIgvve5m0+1bsE5hXcB0MMlEk1AfikaGD062ddB5soPaTtWKnobuzmd8a25wAAm39it31s+pFfXq9f/jrQiZW22GYK7rUDy83T54gAs/LVASOlCe4BGWFH+eecgrYCLGPnMfmdSidw792AUCenaJDgPsYocqqjrU1wT0mKFHQLkfYD7hkBMpKaw9HgKEkrSXDfuxKoP8k5Mi8wVhxsqTkcRntY6pthZ1K7MD0wjvHye1uqmDWBuWNI2xzS+nutW/+kA0TUatLvjpiJ3PM7KYGmBIYB7pvvQNwh2LDw8s+x8tJA2YR6iq10TKkzHAKsP3BMj3MSRGWnKxwCpB9wjwBA7kh18XcOgyKF1e/ShIAekfxmQThIbQXG6ROFPpKaA6RHNLOtPaLN8IYUWkXaDlINJqFHAXtgngyC2EpwP93I5uezkcC8gXuLjQdt57lwvXCV/Gob7fw/wu06F8dmWrTdGDo52FJHGHuLGNCue9ty8mzAUz8mOooNmUCNNBrpQG0591hxQEcKTKe0HLnAsekTky0NCPsgLChi0AT3lBEgg3VvngEOrIpk8OopvWZOobZjFLAMAe7l7kdKks85TXLVKaa2tBypMvpKphyiAFvN/vfC3NsDQPZyFeXhN8E9wMjZ8bl3UZTCtfUiN58S7BXcaz92BCui75RmOBMJ7memFjD12Cdz2fokRxEZoeXZgnvrk8HvBu4ZPNEsLBvGrV7MIXmqsW6w+Y6i02YgnxPsTOosKYGUQHcJzBTcW5vAePO0nHhbpK5IkcN61w/LsHalqsjJR9RFobsx/mydtBnRc8x5t/fUe4cNF11EYikcBFHgu+66axG8gN0HeNjNtovy2Dm2XZsRfFHoG0dosnFte4QQWnLuwyHwPZgCSYmUk0XArtFf/h921v/hFICfE5ElJTBICQwN3McmGakcwFy9SCXBZvPO66fPyPPG1gmnRSqN71nswIV86ukKBYF9V2ygXWaZZaa+4jNeuDxwobwoFI4Ulzh2SxhRHjjggAGQ2y01yOKmdDqx7Lx3bbXxVLGhVIqOxctxsYDjnHuePaYAk81x0F/fp3QoNfnIQotOAcFKYDqBF7n1CjADzGKpgXtKkVKqH/NFQXGWyLjtSC51ej9HSwqM4nljA3xHqJCzhJXgZFCQUbxf2DXy5xkMDglnJk5AiRx4jo2xsP9BVIXzJlLC6XDCAEOg7UK5HC3KkWNUd8KaY0++TnCJzZ8+51hwqrTduOWm2ulWzKKfRxRLmNmcMW6RasYoxt85jhzTtpsqO73RfBe65sh2C0Nj9cwzc91PUQNz0AbELeoAACAASURBVFyV0mUNSrerO7KAvrS5uLSmv17n0ymBhSWBmYB7aXoIMow6u9apAO7WJsBuQ2ldBwPAbKuU1DjNDKC2vsMGieqyf8A68ioKosExlc20Gg6HaHzk53uGveVgYOKjADv0lmex6UH0IYjoOvvv6BxRBg5HFHZERABJxj7VCxKOPkMq1U9n825kINuP2GPHtDMO11AHZ4dtp0PrF30urJmYvR2WBIYC7jF0JrYFEhdOCIPxpC0uAIyhFzarXysNbEppsVgsDkAfOPQ8wFvPw+8kEApA+E3eXj2/zfPqBy542nLvAGKAHiiWvhN5+BhKHjqgDWhgiIFVbbO4gUnsQ/PsfYwnxWGhWsg2twLJnArKAejlwQPJ+qg/QpYYb5uH6kU4L04KAHQpPO2P4oIwyhaoAe4pKEqUQwAwUzbyp0UQuh3JFUy36AGFiFXAoJOBvlOyxsmpNNojr5ISi0vKOALGFPvvOePtfRQ4AOaYLzLQPo4AZU3hCln6PArnCZADHslDn6T6kHmnItJCnvKz7dnAvNx4441FCUslMVYMTJbeJRDpVTbTcg7NS/LkKFsnHDMOJyeZo2r+9lKMtTUsTYxzL2VM/W33V5gDwAPjVy8xH6wxc4jyAiLoCiSCtjZPpOilbflMSmChSaBfcM+m089IKJFVBEr94iW2iQ21RpE2dcKlLlv2WWqOCDcbgRhi39mpiNYj1UTy6yexqUP9vscusyvsNaLOnpvm8dRsDbvLNnkfe8aOIg79H6GECIhIMv2hIBgRTQgmdSA32BK2kf6rF84AwkE7ERD1Qh4cIZ9zOmAZ9r/uHLBVHBXZBdKSs6QEBimBgYN7IIACsECBTZMcOFYoA8ATcAYO2s4ht+iwu5QEhQKAY7nbcuQ6CUKoC7AFUJoFyFA/RqFb/RwDwFcdLrGQymNxYgc77eDnzAi7AT8ACoXjSC9tt5CBVhEIn1EaAegxCJSJzbOUhDQk6UpKhDmx75QrQOt0AAotTrcJ5t734ppszgWlUT/Cq01e0iAoOXWIOqgDUBaGdFqJ9AxKUT1OTsHMA14Up9x5rAZgT6bYD6kU2BlRGY6UNCdMK/DuOMMoZIXFMN4iLcKowpT6hXnhDFGenAKRlE6FzLSXU3LIIYeUtnFKyIiDGfIb5KKZ5LoYKgw959sGdQaNI8ppNJetB3NQupexqZ9o000uQuW+b67QA8bW3GB8zbW2wvgzyuYZIxkGPJxPc9M6MifN9QT2kzwzs2+DlEC/4J7uBqalmADo9AM9HQWJgsRhr4FiKZeddK+/symcdOfeI66at80ijbyPnYnCdtufhvBjK+AIaX5xH0w8F+9FIAD/9BViCiao224OBdvhmbruYJc5MPrHyUDS6VezP/SPuptn7Ec7kE3aJz0Ynmmy/hwJtorcprPTgxz7rGthSGDg4H6+xca7xwYA5N1uh5vvdtaB+2zbEjn3ohCxoWe2dY7S9xOgz91ocO44Rp1OlGiORY7N3I1NviklMCgJ9APuu4H0OBqy0w3yM22vgxIQgAigflL/Zvq+uf4emSKfZBggwQYtv7nuT75v9CQwEeA+8vUAEuFC0QHnxy+UIqoQZ/zXb/RbKP3Pfg5OAtgtjH0913VwtWdNKYGUwChIoB9wP1/tFT2Xhy+qPWmnYInkS3kVuewnK2G+xiLfO34SmAhwLywWF9gAJfLpF8oFRkKV0mCkLgmH2nDYdsTg+E3NbPF8SCDB/XxIPd+ZEphbCYwDuCcROfL2cCGvJqXYcyS9t55yNCl9y36MjgQmAtzLhXfSjFNqgJOFckKKvEfpR07Rkbcs/90mHvl9C0UGo7OUJqMlCe4nYxyzFymBbhIYF3CvD/abObWu7TjncRtl+fcOy+iUpz9u/cn2jq4EJgLcj654s2UpgfGSQIL78RqvbG1KYCYSGCdwP5P+5XdSAgtdAgnuF/oMyP6nBGoSSHCf0yElMPkSSHA/+WOcPVzYEkhwv7DHP3ufElhEAgnuc0KkBCZfAgnuJ3+Ms4cLWwIJ7nsYfzfLurTJpT3O5s4yHhKw2dgFV04jcEFKP8eNuUHRnQ3OH25eUDIevZ9ZK53vLL/ViTkuSsuSEkgJTJ4Exgnc33333eVYa5dXjXuxL05/Ot2VM+79y/aPjgQS3PcwFl/4whfKhT0uz6hfed/DV+f8kTx3/P+LHEB3G6HTFpymVL9RsdvAuCvBJWcuGXGBlotIOpVO8j7//PPLRjAXpblQzBGlzYta5nxy9PBCF5o5eUmbbfyaTXENvUuobPZ2IY0z9Jtj4Pp2SojxtkHckXcHHnhguTwmS0ogJTAcCcwE3Lt80dGNblttu3QJmeKuFZcyLbPMMmXTaFzGWO8Fosylh0izddZZp9zO2ukACDeiuwzKZVcrr7zyYsJwaaPLJl2E1VZcMuUCvf33379nQV522WXV/2XvPoBkq6r3YR/LLKKgBBVFsooEAyIiOQcFAcmoCEjOipiwCIpIEBARRIokiICKIjkYQQmKBAEBJQgoCKJiRAxfPfv/W/c799A90z3Tc6fDWlVTM9N9wt7vTu8Ke+2LL764HMApD701v3lmjpO5TzrppKJwmK+cNt9KHNQl0YcT7onD+y666KJysKcDrFISgalCIMl9B8g6De/+++8vk0udoDnd9ZxzzinHU/eTmOxMSKOeP9fpt07KdZIvstip5V67SqeKkJvAncY6lkjXtssuu8xIQeo+CsVmm21WPAcOKSH+7neCL9OShdAJkYj5ZMSYoRhTFowhOMKzLhY5i70DaxxWo+86ZbjfD6CbDC55byIw3Qh0Q+5Zm61zTqp2qqvc860OlnKKK0WeEsCYwtMtVz1yG+LUWGPcd4wHToF18KLrmuL0ce81f1AWmoJ8m1OQd0aWujz22GPlRHffySnf/L4d/nLqSy3Nsn7vvfeWeUv5r7322gpmRCpLp80eddRRxYDjmkjFXX/uzTffXDmJXSa/+ryvLE7+dp9TuFMSgalAIMn9JFB1bDVN/GMf+9gkntLbW1lPWENYH4bBjdlbdDp/2k9/+tMyqY9H7u+5555yPLmTFCkR7lt//fWLMhjKle+23HLLktvYgtDP0ktyH/VkwbeAU67Uv5UnxHvnnHPOvlOU+7mtsmyJwEQR6IbcxzvkZaeEtyL3Z511VjF+xcnWN954Y0nL7FBJBNb7HDbJIs5S7xwaaxUjlHuFQIZ12/t4PHnL3d/qtGwEGfE3rzz11FNtyTvrOJLfCblnfDHfM27MP//8pQyUB6mmzVnOkCEbbrhhIf48vDfddFO13HLLVTwMyy677IzmcO/+++9fbbfddtVSSy3VUjGhDHlXHhg40V6c942FQJL7CfaPu+++u5BoGvhuu+02waf0/jZE0uTJepLWz4njy0Jlsh6P3DtlkOv1zjvvLC/78Y9/XKzeFpQ4Lfjhhx8ulqCFFlqoLIz9LFNB7rngLZCsXxa9Sy+9tCyIdREOxDpnMUxJBBKBqUVgIuQ+CLuQFJb3utx3333VAgssMNNn9jkJzWEN9z4eUd7UegiLUFdjHlmux6F/5jOfKQYTYXutxPsQf0oC63g78m5eETbTCblnkWess66HCB2y9+i3v/1tKTvhBWa5N6/94Q9/KF7aT3ziE9U+++wz4z7nzzBmhNe2WQflYRxk8Rf+2S6sZ2p7QT59mBGYEnLP3XTdddcV6/GBBx5YFnPuK+52ISwGpM+4/W1Qpb2/7GUvmwlnE4lObxAbXFtsscXT4nBZBH/wgx+UZ7z1rW+t5p577hJjHcIagFQg4gbgeuutV8I0xAyyohqsYgeViaZuoCkni6vTXmMC8xzuxBVWWKEQPuX2vXi/iOmmgccGxO9+97vFQvG3v/2tWmaZZUp4xuyzz962H3F7qi+8WAhYfxFGk+NWW21VXJ11ueyyyyox3SzFm266aSkXgYcJxoYdmLLcUzzUvZWweIihREiVb9ttt60WX3zxEjMZcdDKxvIAI9effPLJBU9t7BqCsMFHvW0+9ZxFFlmkfEfJ4HpVXnGRxx9/fMFdbDX8nKYrLhJ+4jOFaJjwXfOGN7yhWGaawuUKLzjxmpx99tnFXSxOHF7hPlX2Sy65pFiINtlkkxmfe54yWTxM3lymyvPnP/+5tOGuu+5avme559ZlOTrzzDNLe+qHYYnxbouHeFGLmH74oQ99qNI+DlyJ/sC6Y8FwbTexn9Mx8TTJvfa2mBtflMaJiH5JwYHn6quvXi244IJlfqj363bk/nvf+17pO/qRsTZWfO5Eypb3JAKjiMBEyL252Rwr3KRJ7psYsoKz8gvLW2KJJdpCvP322xc+cNxxx824xrxtTja/HnTQQU+711xgPkeOrSe8ge3Iu/mL9b0Tct+ukNYyawgFhIJi/rIHALm3FonLtzcLpyA+xxFOOOGEMbtWGJCsY7wcKYlALxHoObn/3e9+VwiRDYnIkEXbQm5gOEkW2TRYdGiDWGwzMnjiiSfOsDSLYRaDd+ihh5aNeAa4iYVCEKfU0cZp01xfYupoyBSJnXbaqeCD/CFi7kVuDTgTASKMxFMalNEGIAqC7CA27oi3M9FccMEFRQkQF3jYYYeV/8OKS1tHZJF25WChZXWgfdPghWpwB6qf7CNIscEu7KApEa/34Q9/uGzg8RtWXJjeCS+TGDHBmEQQX3VDXLk8YYVcIlDiIsX4URRMkKzFrawCJjvhI6uuumr5UW/txEXKKiEloueYdJBtxNs9LCnbbLNNKQcijRBTMHzmGhYLChI3pXfDDM6sIp6jwykbpUvdWEpMzjvssEMpr4lbfT1Hu1AI60Jx4R4Vt8kyoozIs3bSD9wn/t1JgCZ2ZJVS532xmVOfdJ33IOYUIXizAK2xxhrFvRxhOdrRfX5gS1mjFLhGn9S/KEeUMX3VRN/cNAonC6IFr98lyP26665bNrhSvOALJ25kde9WkHtKNS+HtqYAUZBgEtKK3FN03cdCp93dRwmnkLba0NdtufL6RGBUEZgouWekEI7Sjtxbw4x364P50hraSqy11mtrlvAac2cIQ4o11ZqNxDfFfL7HHntU5ihzhPW6HXnnQTWHT4bcyx7GmBeKBgXHHG9PAI8tI5Q6UGb8b03CKxiuxhKhm9YbGJl3UxKBXiLQc3IfhZtnnnmKRRfxiR3zCDRCpOMbtEiqSQCJf/zxxwv59T1L6ZVXXlmsBAQB5PJD5hB64SYmgyuuuKKQcmIiMYARRhMH7ZoywFIYQqlADsQOuh/JZwm8+uqrZ4QJUECEVSDWyAzxHhMJohphA2GNRTQjhthzxFaz3LKAE6RznXXWKUTapNdODHL3I9cxoVEeEFb1YBFnxbS5iKKAbFGeXGOydZ06aVBEGekea/MmKwPMKWIEqWZBWWuttQounoW0m4Ds7ucVifqY1OBsgQjXqEwo2sfkJoZwvvnmq6655ppyj7rzZLBUUM5cw5rje8qWOiPAIcoPezGX7UT5/MAsPBMswdoO+ePVoDiZcJXdO0zIvDD6F4wRSgIzC4C2tRiQIPc+o0i4F/6er9z6nYWMUql91Mk7m6Kf7L777gVTi0S/S5B7nhwKsjGjnxjD8NSH2y3Y7epWJ/f1/qANLOCkSe4prhRYyiQlsd4mFGrhcJ1ukO53zLN8icCsRmAqyD1jFlJurjM2hdn5e+WVV56penfddVcxgrjGmm2utyaHmItxhFZKhLkYb2DAIVNN7vEB5TEPhQJiXuTBx23Uj2fR/K/+yuOH19bav/XWW5fMOKz4DHB1odiYSxn/rBMpiUAvEZgyco9QCXXQgUMQUxouqzeSTRAxhJiFkDXOoo3sI/F1izOLuM9Z3w1sZMMgFw6C3CFaCAFCKvSBpZa1ry5CCxBY4T7tyD0CRyGok3uWaNaC8cg9Msqqj8jWw3Dcq2y8Be3y21IyKDQmvrBKIjEmDp+7T91MyiYPZJwlHxlFkFhBWUM7IfcssqwKFBNk2/+IqdAbBE77UE78hgWMTUzwZoU3sXFLIn2UHiQsPCrclkKDhNyEghHkvmk9ofzx2sDFJEppY3HnRoX/WKkr9Q2hXN4TwstAqTThamdKoc1PPgtyTzFSHv3JD+EpsdgIAWLtrxNJ1vzIhsQjw5OgP6y55prjknvtgyxTUutKZi8HcK+fFeSekkdJDaE8stYZexTpbqRJ7uHCO8RT5Fme2ST3lAp9tL5HQd/SFrwH+mnd2tdNefLaRGDUEZgKch+YMq7xjPoxZ1hHwjhUx53RLLzM1oywXlPmrQPm9nr6S+GBjFG81bE2uM97psJyb33i1RUNwLtdF55pXnabgK3BDJPWDmspK7+10RrqO7/NZ+ZT82oIZcDaaa2bjGdh1Pty1r81ArOU3AuhQRSR1bDGIV1COpB7hA3Zs/FO3HedIAvRWGWVVcrijnDR6rnJWJURLdZRFmMkn3WVYuGeuiClCMFUkXsTpsEr1Ai5DDEJiDfnbqTJtxIWeLggM2HhpaSwaJgEkXsxy8rP8mwSYfmIjCwUJBNIJ+Se9Vo8PysLgoxsEfh7vrLYNIRM8TrAUtmQZZujWOl5BYSysGCzvpvkIud7kC4k3aTejtx7pwmP8sNSg1wjeywZ3K4RO98KL2WFk3CfEC5j5abstCP3QmNYklj09SOC3CPtlEehI6RVthyLDdw6JffiMbWdthkUGWtDrb6mLfXjdnmpW9WzSe5dow8aKxQ7YVoWS54XnhILIwWX9cs4r4u+hxCE92RQcM1yJgL9hMBUkvuop5BU4Z0MVubNViKM1+Z61m3jnjC0mBfs7QojoPXO3CBMT2iktQbBN7+yqsfZGAwF9RTQkwnLEe5qTxZj2lhrkTIrq5BDiob3W1vwEwYMa6zQHWsTI1+I9RW5t8Ynue+n0TEcZek7cs8FxureDCsRrmOxN2EI5SEGB9eXVISIl98GFKsgy7+QkrpMNbk3qBFMm4hYi0PEs1NslLWZJSSu6YTcswD7Cetyqy7YKblHZsXA18NhWj0vNiQhu8gq60lkBeAZ4UHxHKSvnYxF7ikWlDPYmOjFYSLDvCxjyUTJvWd6ByIvpEefsIGWh4S1KEI9ekHuKayI68Ybbzwws8VY5N4Cx4o13kaxZmVbkXvXUOAp5JRHixwLF+Xd4WNc+pRV/a3uwYnsF67JVK8D062yoH2GwKwg90i3+dXajbC3E9Zx8681n4TlnuEm0mMy+PAeUxRijlYHa0ZYyeXeZySqh6NOlNwj4cJIRRuYn8YSiod6MlSFh4JSw4MsdEd5GJQYxxgxwmiZ5L7PBsWQFaevyD1rnbAPFmuW4nooAwu9sBeaOgu+kIr6ARBIglhwBJR1XPiPOLYIF9FuLN9IYVjuWdiRagQssuxwIYp/n0hYDoJigCt7ffc7awJ3osmrXahJJ+Q+yspyHJlY1IsyYfI0uTXJfasTVLkbZXYRx49UxwEhwm7Unys0JmOTJzwoKywQJs+wjLBq8JKw4sY+gBgfYiNZx1krxiL3rhezLu6SB0e4Eaxaxa/Xx95kyD1M9CEEkWU4PAd1hawX5H4QTwtuR+5hxfUsJEZ4GNFfLLTjxb63I/eeob/yuml314WXA9EPz0eMYe+jwAt74+Eab9Edsrk6q5MI9AyBWUXu7ckyn9fn1mYleOutQRGWY71Eyq1N9QOwWlXenicJOCYalmNOaVrlzS8ysDEy1qXVtb637vMc1Nd8RkZzJXLPCBG5+pH7EHxgo402KrxAdraURKCXCEwZuUceLb5CN0K4txBRRDBSJSKL3G1xiIUQCXHSyISNK55j4CIU4mwRQcKFL06bu4sIFxHS4TnIOyKMICLwtH+f28BHw1YGoSPIA02bm19KLv8b1HLsikdn1fZ+RN8gtCuflZcghUgHLwKLgjIKBRH/b7DL/mNQ23OAHFNYxjrJVogCQslSGWlBvYsFAV6sGRGa5HvhCd4v1t4+ARORmPUg97CjSGiD2Nxb7zgsEqzXLO/+5v6k5HCHmizr5NrmWdgKWYFNSMSUCztSFhO5jbTKy8Ii5IqoG6VsLNcjjwYXJqVM240n2k9Yjjj4EPWksHBzUjhYRiiIFhZtTig2Qo2kWUPww73LMqTOQVRjv0HEhLsXofQOViZ9NDbUCgOiWOpj2j/aT3+hHGn7QcnuEuReewqPo8jBRh/QpnCxGBqLFlZeF/19LDHG9eN2mXZs7jbe6uReX6Bw83pwj2tvnjhjUsjWeO8cr//k94nAKCMwEXKPmLJAmxd4VuvGC2FyDC7CbyIk0ppsfTX/mVeRWOumEFMGJJ9Z83gDGe9i3hS6aw2wH2+89Lvjbag1z1uzxLc3T2z3bvMOIh5hwtYJhkNlCIGVuV/ojYxddeG15jlgdKiLZ1tnzHsUFHyF0lJfP81n1idrSb8fbjjKY2VQ695zcs+VZrCE1qtDi732Ip9xTdmMifwiYTT0OM5Z+IoYbiSWVR7ZRvoQNVZiVv3IjY2wmUwMHCTawEMSDBQifAcxo1x4BuIp7h3ZNZEgC8hfWNWRfkSCImBws0gjL0I1hKHYDY8AS4vJuihGUOwfwqN+nq0c6uR+kxrrNwIcz2zVSYS2iNOLQc8DgWxLrQgbJEpMu1AIGWYQJcoIJYiYZNUzMguZZFnKEXvlNum0io9WLpjYJBzuUJ4Rk13EOUZ5YWDys1m4mVZTeyKE2sbfxHOU3WRqclV2rkuWfIqAsKmmKLfvkeGxrPYmWQpVHPdtcrep1/9CiCwYMhAI3/BuxBsWvDkmYsoWZUPYFkWEIN5cpTIywZaCp01sIlVvfVH/87lQHpmYKEC8DaxS3MrCsSxSkYrVcymw+gmi2jzgpV8nDP3QvgT9mjvZYq0dLXDwDCUlMl4Erq08UjCzQZ7CRmmkQBsrrUKuYKhfCMsLcR8FlBIHc+PL+43zPKCtX3tQlmsQEOiW3MtgxpCEtDJwWB/ruel5koXf2HjKSm2djjC+GKus09ZMxN46b81lxLNexPoV2FkDzO2R0awdpuYT837TcMQgYQ8XQ5PwSGsog0AcOOl6HIQBzZptLjffuEa5beaPZ/qfZ9HaVD+PR9iO9dj611QclNc6xchm7Ys4/LqRR9gSHBgpxwtDHYQ+lWXsLwR6Tu6RUWS97qo3mG2EIT5n8WThNFgQbMTAYEQqWcqJQY9UGlQWdd/VSZ8Ye4MPofRM4R9+QpBXu/YjflcZmjH3rkVsXUfEoXO9IdzKgcgqAwXBYPdMk1YQNeV3rbLVc9ibTNwXh2T5vl3ogvrBKza1Bg4R/x14IVlwUGfElLXAdwhq/d2ewyIgTSZiOlZGEeVzLQIKW0pIu5PykLl2h2GZvLSvtvcclhkKhc8RZGUyQfqtvK0yJwjjiZj7sYaI9qbYBJ5+ayukPcI0WOdlafDu6DP6nIWFUNp8D0uWf31E+ZBaChSFSL/0PHUwIbvfu/UDbRT9zbuUB5aUuXqoiDb0PTwGJYRErKgFh4sZpsqvfzXroL7whX07lzvMKMX19jcWWnkx9B3XR4hY9AFlMP60g4UV7uNtbuuvKTZLkwj0HwLdknukPjzBxrO5s36SqzFqLTQ3IvPGePNgSt/xbppHzR+MB65pteYwriDOQmvHCvuzFnp3vSzQ9nxlVhZ1NX+EZyFaw7pn3bLuI9/Wn1hHmsqC+bt5GBfuoE7BWZqtbD7DU/y2Ftf3Ang+w1qk0qwn4Oi/3pIlGkQEek7u+xmEVuS+n8s77GWru3URft6X5mm8vcaAu5VCg8A3SSIy7mAr1vux0nD2ukz99Lwg9zxIKYlAIjCcCHRL7mc1Csg4azrrvT1RwyaMJkIMRQ4I201JBHqNwEiRe3HEtHcbUjNHdq+7UnfPYxm3b4A1nVuSRVfYx1QK67C9E6w6wqgifWd4gITcsDhFaNdUlqVfn53kvl9bJsuVCPQOgX4n92rKai+lpDDVQTgAsNPW4fmwv4jH1xqYkghMBQIjQe6FD4glF2NHxGhHLvSpADWfOT4CQpFiUzXCLZ59quOoTao2ONnoJVzE5lsi5EnYiXjRUSb2sEhyP37fzSsSgUFHYBDIPYzF+QuXtLnevptBF/uQbExmaGp35s2g1zHL3x8IjAS5F+Mn9i3insW5iyke1dCLfuh6rOXi+FnR7WHo5lCkyZbffgXxobwHFjleHHHjmTc9yf1k+1benwgMAgKDQu5hiRDb69RuP9gg4B1lFI4j1r9dnP4g1SXL2t8IjAS57+8myNIlAv2DQFru+6ctsiSJwFQhMEjkfqowyOcmAsOMQJL7YW7drFsi0CUCSe67BCwvTwQGEIEk9wPYaFnkRKALBJLcdwFWXpoIDDsCSe6HvYWzfolAVcIRhUSmJAKJwHAikOR+ONs1a5UITAiBJPcTgi1vSgQGCoEk9wPVXFnYRKBrBJLcdw1Z3pAIDC8CSe6Ht22zZolAIJDkPvtCIjDcCCS5H+72zdolAl0hkOS+K7jy4kRgIBFIcj+QzZaFTgQ6RiDJfcdQ5YWJwPAjkOR++Ns4a5gIJLnPPpAIDDcCSe6Hu32zdolAVwgkue8Krrw4ERhIBJLcD2SzZaETgY4RSHLfMVR5YSIw/AgkuR/+Ns4aJgJJ7rMPJALDjUCS++Fu36xdItAVAknuu4IrL04EBhKBJPcD2WxZ6ESgYwSS3HcMVV6YCAw/Aknuh7+Ns4aJQJL77AOJwHAjkOR+uNs3a5cIdIVAkvuu4MqLE4GBRCDJ/UA2WxY6EegYgST3HUOVFyYCw49Akvvhb+OsYSKQ5D77QCIw3AgkuR/u9s3aJQJdIZDkviu48uJEYCARSHI/kM2WhU4EOkaga3L/gQ98oPrOd77T8QvywkQgERgcBD7zmc9UK620UvX2t799cAqdJU0EEoGuEEhy3xVceXEiMHAIfO1rX6v+8pe/VDh7U57xv//973/1D3//+99X8847b7XgggtWja8GruJZ4EQgEZgZgWc8w1OAbwAAIABJREFU4xnVH//4x+q5z31u9fznPz/hSQQSgSFEALG/5557qoUWWqj673//O4Q1zColAokAvv7lL3+52mqrrcYn9w8//HD1vve9r7rssssSuUQgERhCBA488MBq+eWXr9Zaa60hrF1WKRFIBCCQlvvsB4nAcCNwyimnFOV9hx12SHI/3E2dtUsExkcgY+7HxyivSAQGHYEk94Pegln+RGBsBLqOuU/LfXapRGB4EUhyP7xtmzVLBAKBJPfZFxKB4UYgyf1wt2/WLhHoCoEk913BlRcnAgOJQJL7gWy2LHQi0DECSe47hiovTASGH4Ek98PfxlnDRCDJffaBRGC4Eeg5uf/nP/9Z3XHHHdW//vWv6pnPfGYJ6PfZEkssUb3kJS+pHn300eqXv/xlychhgvn3v/9dPfvZz67e8IY3lOtHSR5//PHqm9/8ZrXbbrtV5557brXhhhsOXPWfeuqp6sYbb6w++9nPVpdffnn117/+deDqMMgFNr7+8Ic/VF/60pdKXzrqqKOqVVdddcJVmkpyL0OHTfnGu8w8xv6cc85ZLbroojM2+N17771ljnjWs55V6VvmjPh+wpXKGxOBRGAmBLol97/5zW+qRx55pIzbl770pSVjXlNk0Lv77rtnZNxaYIEFqjnmmKMl8vfff3/129/+tmTlet3rXlf4QCsxt1144YXVUkstVb3xjW+sZAB54IEHWmbrM1fIAFQX3ONXv/pV4R+dino++OCDhbu86EUvqhZZZJGncZM//elP1V133VXmMs/2u5Wo51xzzVXNNtts5Wt1Puecc6p3vvOd5bkpicBUIdBzcm8wnnTSSdUJJ5xQBqHBvdFGG1X77rtvGQQ///nPq2OPPbaSg/PJJ5+sXvnKV5Y8nB/+8Ier5z3veVNVz758rslBAxx++OHVRRddVK233np9Wc6xCkVBQe5lV3n1q19dIWcpsw4BBPi6666rPv3pT1c/+tGPqiuvvLJabrnlJlyAqST3xvwBBxxQFlvy2te+tvrIRz5SUnVZHP/zn/+UhW/vvfcuBP9Nb3pTtccee1Rbb71128VzwhXNGxOBEUagG3Jvvf7CF75QFHPGm1e84hXVBz/4wbKm1+VTn/pUdc011xSC/+tf/7raZJNNqiOPPLJC8uty2mmnlRR9DHrGOQX/6KOPrl7wghfMdB2F4phjjql22mmn6jWveU35bq+99qo+//nPt2y5/fbbr6ylRH7v73//+8Xg4X2dpu62Dn/iE5+o7rvvvgqBp3zsvvvuM57r2T7fYostipKjnhtssEH1sY997GlloiAcdNBBZc6bf/75Z3z/5z//ufrQhz5UveMd7xhIg94ID5uBqnrPyX3U/nvf+1612mqrVZtvvnkh8k0x8GnkvkP+R1W++93vVquvvvrAkvtoNxYOk12S++npyccdd1whysj92972tgkXYirJvUJZNC1qt912W1m4LdZNsWmf5d4iHhavCVcob0wEEoGnIdApub/qqquqM888s6TADuMNZdx5GF//+teLBZpYy3/3u9+V/1n3L7300mrbbbetDj300DIv+YxccsklxYhl3eNh/Nvf/la9/vWvLwfnnXHGGTOVc7vttqvWX3/9oiQQxkLPW3PNNUtZEHb1+Mc//lGtsMIKhWiH5Z7RgwV+l112KWXrhNxbuzxf+XgKGK4oMFdffXVlfkXyid8XXHBBRfmAz7ve9a5itGxa4qUVdhig8jaFosRowdNKyUlJBHqNwJSR+1tuuaVaeumli1XurLPOelq5fX7++ecXUksJGFUxOayxxhoDT+5nn3324n5Mcj89PRlR/vjHP9735B46+vzaa69dvepVr6puuOGG0m9CWLsQfmFqoxamNz09J986igh0Su6/8pWvFOMTa33ID37wg2qVVVYp5BxJJzfffHNZ70OQa9Z2ZB+Bpawj4ZtttlmxfPMyhjgVm7X82muvrd7ylreUj1nczWe8wnGgnhAXkQE8enXBIz760Y+WcN+m8CawnHdC7nEWCoq5KcQzV1555eKxoIgQioUyeC/Pg3qy0PMyhpjjLr744lL3ViLkR9l4OU4++eS2YUmj2Dezzr1BoO/IvUHEbf/3v/+9DGqxffW4PZMGDZ3lgFXvxS9+8UwxbXVYaNYGq4nFHoCFF164mmeeecrkIiSGNYFLMDTuiM/j0vNug9j3xPUmFoRjscUWK2Xyv8EvpGC++eYrPyYRzzcRGfSPPfZY+RFX2CrsKMi9icAkeuedd5ZYYxaIZrziWOVzH0tDu/IJf4oJ2vNNKsqJlCu/OpnwQ0xa6iAu+uUvf3nBYiypk3tYPfHEEwU79QirTdz/0EMPFauHsnLZapO6qKc25r70XGWLmEwLBAuOz52WrB76jDLWF6BWZXWvsrmel0H/8YznPOc55TPxnPqTdvJcEzDc6uXT5nAxuVNkYBhtG33XIvDCF76wYKYNhZ9Z/NRX6In3xULoGfqHd/ksFjL4iM/UJjCsE2B10y7GiXvVgRVNaM4VV1wxJZZ7dfC+cFU3cel2OmLVsiDuvPPOxSpmjMLGIi3Ei8LbFN8HXvqsWHweoxBzgjK6Tpvpd61ig7sta16fCAwbAp2S+3b1NrbWWWedYolvJeYlRF2Ibliu7cVjYXeojj1aIcIKhRIKbTGHEeOat8DcMJ6wjr/nPe8pc0lTEBzv64Tct3sPfmBuMff7Md+rBwUkyL35bM899yyPsHaxylNWxhIegRVXXLGs+da4lESglwhMObnnmjv11FOfVmYDl3WubrlHHAxECzeiJmaOdU+8HzKB0JgsTAY2zxhoJozPfe5zZZA0Razd+9///vJxxMW99a1vLcRN+MHZZ59dnifmH+EUs4eQmrhuuummUg4EJFyGX/3qV8vpvOKCWSBcY0CzQohBFF/4s5/9rGKJ+MY3vlHcjH5/+9vfLuQr3Iv1ciL3yIxn//jHP65uv/32Yn1F9L0rrJcsmvYl1MuHJCqfuqurZyB33rnxxhsXV6HymUQiHhHxMRHBTv1MwiwQXJgIM/nOd75TJm0TLGsGMnvYYYfNcMG26oDu9cMaAQftMvfcc1eHHHJIaVP1MMEqI4zIrbfeWhQS8ZdhjVEe+KmbCVV4F3w8k9J1/PHHl/hH1l19AGbf+ta3yn4OG3pf9rKXtRwf6m3y17aIpPdSzGCMjLNQOdHtve99b/lO31QWIS76iOebrFlitKU2UhbYaV8LzI477lgwRSy1q5hyG10R9nXXXbf0Exix8Bx88MEzsN50002rN7/5zcXSo05iXIWvwICVzEJsDEXcqRvFpSO6lBrlv/7668tCYzz1OiwHsd91112L8mOhE1ernvocgj1R4f7Wz7jwWcu4z3/4wx8W17g2aoq+rm2Ie5ZccskSumOu4OaGP0WI8kqJM5/wDKQkAonAzAj0gtybk617TTHmzG/moXosurHNCm6ejXXZvdZj5NYcYFz7MV9an8W2jyXGvXnAXMig0hRri3lhMuSe0U54kHWAmId9xmvBCLP44otXJ554YrXNNtuUOcceAUpJ02jVLBtDBA+INdranpII9BKBKSf3BhzCxTIZYmIxKA04sWsRlmNAIIdIPe0Y+RP7RkMWl4/sCedBNFk5/W8SQdxbZQhB6JAi5B2JYGkIUXHkl+JAaOKsyOILiUGKsCEZyK4NMUiua6I8rkPGEfHtt9++lJ3HwYSGoCEpyosImqxaWZaRQBOH61gtEWKkkZsScQ2itvzyyxdiFXGJ6u4zVmYYUoJkI+Gd8H/EQoptVj4THKxMpKwKlABWatZmz6EAIPNIOSKnDCYtxA5uyKN721nHkVZYwVWbIYLu08YmdZkO4I3YqgMSxquC4NlIpc1da5JDWMU6IpCupQgiyeqgLfwPC+5MkywFAEFG/j75yU+2HB+/+MUvipIW5BB+3k0x0EdN1PoRK5P2gycSHxs+Tz/99OKNoEiyLqkn6zLyrZ4UEgsJvPUVRF27Kj+rEsXE870X9tqZIOb6BoXMZ9rOsy0WcLBoGR8UBH2NaB/tFW2mn+u/lBXv7TW5tzneOynVyy67bFFqtadNYUccccSE5yP9Vd2MGWOdQnreeee17GM23MGa0kXpgYVYXZmmjGFlpGQhBkQZKeBIfkoikAjMjMBkyL35a8sttyzrTd1zxuOKqJorecrNt+boMADE/rKYE6NELNcMIQxvDCgMUcY7JcE8M5aYJ62v5upWMllyH+unuS+8195lvWEQY6yy7uAzvMvWL3OaNQFfQPStG4wQyyyzzExFtP5ZI6w/1siURKCXCEw5uW8Xc29yQKzqlnuWQKTYJMBCbfBQDCzoBhNihNSz2u6zzz7FoskaigS2yxCCVLH8stgiyyGei/AJd2B9RSzqZNp1rLoGKfKA3BiMyGSd3CMPSB6LL3JPED0E0fMRkLGkVcy99yKeJkYWDsTv3e9+d/WTn/xkpnoGgURsTCKs+4hlndybOJF7m5OQewSQIhQWdWVD0JBuigKFxKSE3If1NOIWTVD1uMJ6vVrF3IuXZJH2TIoLcq5dwyXLwmoi1+be6X3SgbKim+wJZQP5NQHC0/8mT/XlgSDCdJB9bWAybyU//elPi5tYn4uUo/aCUGyEbsT3oUR4BtJJMTSBR5iYvgCD+D/eBVvXIan6o4UJEVYengsSnyGhiD5BZtVJfCk81EF/jXtco/2MCXjCD3mn4FJyQqYy5l57qLM2ohD6TYnUBvrJZIQ1DCGgRCLvCEEr4fmhANY9dCx2xOfmDuPOIqxsxBjU91ISgURgZgQmQ+7NzQg8Mt5KEHTzmTmLscT6LTxxPHJvXrMGs4zzXDIm1bPMNN/FYGjdZjG3PraSyZJ7kQfqwCBWF/ONOZGxy3qrzAxPjArWOlEGvNE8GwyCvBIUhbr31RrCM+G+yXgWsm8nAq0QmDZyP9aGWhZeoRvcdwhtkHsDBpkQksCqjuAj1gjHWBLhOUF6/WbJR4oJcsFrYPCxVocIy2BNRYxd6//pIPesk1/84hcLCQzSq4ys4+KtEUHfsx6MR+7dh1CrD+8IyzTrAWKPXLLGUio8l5h0WNZZJXgDWClaSStyL/SHtYJVGUE02bH2iHePycyzWZ69U+iViVAdIhzJb89mFWKtnSi5V2blpzgJj+Jp4SKO/MRB7iNMK+ooDAcmkaq0FblXl9hX4Dn6rPrqx3AOom4ytxBpN9YvyozJX0Yp/Zm3SNmEQkWIlGezjlmMEVUkmBcrsk1EOaeK3NfrBn8Lt/EIx/DwTGZqpbAj9BS3dgucPsNtbyGth+vAyPjUd/ytn9mnYEGmlHWT23oydch7E4FBQ2Ci5N58yHPWzshTx4Ghwjwo/ITCHRn0fGYeDGEgQ3qRaKGVnZJ7RgZjnbfdutxrcs8jYJ5j3GqXhz/eySO8//77F6MZw6H1Am9gbLCm8V7waDPUhSS5H7RRM1jl7Styb2EWC09YNlm9TQpB7gNaAwZpkkYTGefmG28h9z3yJMxB6iqhFZGCilbO6soLgCDUB6wByXrvfWKap4PcI38wEIaBBIYgz8ontWDkIe6E3LufFZnr02TDG8KCrG4mbUSVstBK6mSv/n0rco+48RLwqnCfsuLzSJgAW4mNSNrEZC8kpZVMhtx7Hsu9spi0LTAw4L1pR+7hQLmibFJO2lnuxV7yJFBGtBdliZW5brn3flYafZvCyQNBcVAeFnn9U1+L3O6t6s/LwvXLjVu3Yk8VuVcG7ahulFtlpxTCoheWe3VG7nk82pF7Y9Y8wKo3Vg5/yimDADxZ0IRo+cmsO4O1KGVppx6BiZB7xJvhgXGt1Z6YZqmFcrLu8xYj7DHH8tTG5lP3xIZaaSvNt8Y6L7T1gMGnnTDSURR4EZo58uOeiVruGRtwAlECYegaq1WEXjLiMBgRYbU8tOYsa6N1UBSB/ylHJMn91PfzUX7DlJH7iJfvJhUmTZd1kFXTgAjLeZB7gwHBFbYgps87WDFZnoWMtDslTgPTpJFgcbiIo9CQ0MbdaxBTLCLUwz3IMy2ct4AlkPJhsqmHVSAeNsUY3FMVloOAikFvxpRTNtRFKAnshKeIC6wfiGWCVD7hPUJHkOPIqMMTAk9kFIaIEXcqbBDs5ml/wlia7skYPK3IvfYT8oLIskizzAhtEn7Beh9icrf5SPuJdUdgkd66IGw2xE6U3OsrlBZKnn7Ec8OVq83UORaeJhm3aYynw94E2XXakXukE56eQyIkqfk8BFR78BJRcmTwic1U3hGxrO7XP0OZEqJmkdQnYSm9W2zK9T7k3oIyFYdYCacSumbBVSa/WaNmFbmnAFB+KIb6dl0oqciAz41BIssSPLStTbr11HajPNln3ROBQKBbcs9TaM7kPRxrna0jbI5DeMWoMxxZD4xhZJmRI8T6Knd8GNesR0JfGVQYr1oJby/F3foX+edbXTeRbDkUGPO+coUHNZ7dyrhl/maIrIdJtiL35vp6Bh1k31xurRWGlJII9BKBKSP3MmqwgndD7pFOxIdGjkgZCOLwTA6x6dZA4hoUqoBM+V+mG9b78VxnrAisCdx4dZIq1AG5pFHT2ENTVwdkCxlFUrneWC2RzNi4yWogPAEZnSpyLyRF+AHrBJIau/BZb7k+lQ+pj5SbLL8mFxORDcUsz1yGyKCJi5UeOQwLAvJjwkaEWGeQXvGMJljx3iy3FCNENeKcm52wFbmX7QAmCKdJ2P/6g1h0JFkMvNAVChUvDOJrYrcpkiKDPMoeo721tToFudcG4eXpJOZeuyN8rDEhrM/6m02yQe4Rbu8hyLa9HkJCXKN/tiL3CLfFywQfmYBiH4eQEXVmyY/QHQubWFGKIxIfm2u9M8KAeDAobbCySNonYBGgYFKSEH39PjY4q5tYz8meG9E8xMqCxFvEtY40qwMsjUttYAHUNhYq/YOy3U0GnU4s93ChfNpjoj0of/o7JZsHRptoHx4YbvoQZdXX28Xj9nIizWclAoOEQDfkHrG3f0W4YT2tMSu0OcGeqKZYexhkzFOR59415ghWe6GJQZxtmrW2WW8J6z3CbnxHYojm863ZQnLNr/U49uZ1Y+W5Z6SQ+Y7hLjYGMy4K2bQO1om9kFcco5nVpl0++/AMW6NxBkYr8zYDWoh1y9qLl7TKKDhI/SnL2n8I9JzcG3QIGDJpgFiEacEGok01CDLSjlxb2FnhhciIzeaWMyEglKxxJiBuN9ZWBIl1GoFCfFhTWTNZmRHBVhNME24DzXuR4aZVmhufVcF7Pc/khCyZZBBoEtkATFCshCYkIS1CdtTFRKJsLJ2s0cgPEt0uwwxt3cZIJA6RpSQgiQgW0oR4mryUCQlEcBBNZJjlwoTL4xCKCiKG2GtUZZZhRXmQH+TLu5Bz9RQKwaoCQ/U1ccVuftiabJDWEO8MMt2qG9sYZHIW8kQhYqF3D0UqcrrrG8oX2RQ8RxkRbuTVwqFvaGd9KEQ4j0kUiZQG0w/SyyOA/Jug4QBnxFkdm9al2Mzq/cqHKKs3wmgfQ5B7fyP3CCpPBWWK4kGhcg0rv36tbspp0ibaKjaEUmT0WW2vv3oP0ls/R8B71Kt5wJvsOQgqK1kcmkKpoPBE7ndljiwMYvaRWv1ELn34ey/Mm+cLdDL9tDqh1mKsD+l7FHZ9FMFWLi52Y8EY0Ab1I+DHex+vl35mDPPERU5soWV1rDxHxgnekXq/MIa1vX6rPOrtWcKV9DF4wKqdy3688uX3icCwItApuY+0lObDSGcME8YfRh9jzLwb56WYH81TEjnwuFsr46wY95nDKduuR6KFSdoQb04No5W1CtluetLrbWE9YFBjHGolymc+ZoTjnTYHWydjs73vKR3IuvXHmsCwR5lgZFK+CBNUb6RfXeueBMaVyIzXPJPG863X5iZrFOMDwl/f08doYz61BliTUxKBXiLQc3LPemyRptGzpCOhPkOSkS4EyUuFZZhgEGZWesoAQXSRSmSddRDpNFAQHteKEUcKaP4sz0hlM8VUO4AQeCE4de25fi1C6vkGMqWEy0wWlrorjuWUBdrExoroe54FZJN1nzJilz9LLXLGKlHfPFR/n4nNJiMTg1AR9RGzh5CY3NQXOafYEO9WPgSnXr76M+vlE4KEACkfYoRQCuVBwlnw/Q17z2+6P0243KTqbgLiOWkXbx/vR6CRUjiyyrPCe35dPAMBZ+GO7DjNd7OosNqwlsAUziZb9yCDJksTsPtlu/FOGFo4LCQsMc3J1kTsmfqN/mghiSPVlS/IPYLo+cKZkFnENZ6FQLofWbQAafPIw0yxQnT9ZpVHrv2PeGuHprLBWqOvtDq8BEa8KCxlsgR5XmykjjbQly0WEaZjAVIH146XX3msCaQVuTf+kHftSimkkBtDPBswtKHdd5QtygVLVSfCqq6PuZ8iYs7Q342XVq5/48FCbPzDVV1DudKnEQpjw1iCKwWo1cFxnZQtr0kEhhmBTsi98cY4Y7yZd5p7YhB+Bg5ivWDhN4Z5Is2N5ol2gtCy/DOCeEbT6+4zczCC3kqsIeqAQLcS6wPjmrJ4trnKWsiLHcIbGZZ711FkKA2ur6fudr0539pQF8qAdaBd6mEcIfiMNak513s3bzocxksKMsx9Mes2NQj0nNxPTTF781Sau9jzVqdf9uYN+ZRBRaBdzP1U1MdkLnYVge83aUXu+62MWZ5EIBGYHAKdkPvJvWFyd/PwM/DJYkdRGDYJg6VQndgrNGx1zPpMLwJDTe5p76ybrJ5i/7johLekJAJNBNply+kVUrLpsGxZsOxfEDZSd9H26j2TfU6S+8kimPcnAv2PQL+TewjyYFu/hZMK3xwmEbZLcYlDM4epblmX/kBgqMm9sI5IqSjMhdveJsaURKCOgL0P4i/FlQv1cBgSl/NEYtbbISs0RxgKsZejXw9XSnKfYyMRGH4EBoHcawX7nYTWsXA3QzwHsZWEjordF64jfDklEZgqBIaa3NukJ65ZjLUNpu1yp08VuPncwUAAqRdXKq5SbKa4b67S5qbOydRGfKfBZn+IuPR+zb2e5H4yrZz3JgKDgcCgkHto2l8kJt3+q0EXe6QYGe0VS0kEphKBoSb3UwlcPjsRGEYEktwPY6tmnRKBmREYJHKfbZcIJALdI5DkvnvM8o5EYGgRSHI/tE2bFUsEZiCQ5D47QyIw3AgkuR/u9s3aJQJdIZDkviu48uJEYCARSHI/kM2WhU4EOkagr8i9nPjyvot/lj87TlBtVRvZR6QUlO+9XZ7Zdii4T15s75hMTvCOUe7BhU6LlUtcmeU+70TsOZDj3vUytIwVQy5bjDzycoNPVLTfFVdcUclT71wCeeh7LQ7C0kfELtZPGe71e/r1eeOdNTDZcrci93JXO2VYxoqpPmxlqus3WXzy/kRgGBBIcj8MrZh1SATaI9BX5B4ZdciE/N9OEI3jn2PBj98OvpEey4mzyIiT6roRJ5A6FVdaTIdM9ZO0Izdy80ufZTNOuxNvm/VwwIZDsRz0I1NLK2VJRqFDDjmkHPBEEPOJikNPHNbhQBPt1+v0ZTa7am9pJB05HseVT7S803XfRAgshUYbOpq9lfjcwTAULKfl6t8T2bTbJPdSyDp52YFrDjubTIYHSoJTbK+//vqyQU4qUCdYNpVOmYtMTMa/g+CcWGtO6OUG5+lq+3xvItAPCCS574dWyDIkAlOHQF+Re9WMk/CaCzmLNVIXgtgjrkcffXS19957d4VQu3d09ZApvNhR2fvtt1/J3hIy0TI7LENKx/HSOkoV6mRWaSEnIxMtZ7t3OolQ+lIn3hInxDot1wnH7U4vnEz5Z9W9Bt6b3/zmkpmnnWg7x6tTvpBbpyEj201xSiNFx6m3Tk10SvECCyxQTnjslhC3stzrE97Nq3P88cdPCiIKGkUyshEdeOCBFWW7Kbx36vPBD36wHBE/Xv+dVKHy5kRgxBBIcj9iDZ7VHTkE+o7ct2qByFdfP/76lltuqZZeeukJkft+buVIxShMZo455phlRe0Vue9lgVmht99++2rDDTesNtpoo/LoJ554oih1yjvI5J7CwsPhgLVORH2lcuW5qctFF11U3XbbbYUEh6V+m222KVb8Pffcszr22GM7efyMa1qR+/vvv79aeOGFe0Lu40WHH354tf/++5d/1aFVuI/zBlZcccVqhRVW6KoOeXEikAiMjUCS++whicBwIzAQ5F6ox8knn1ys+iEOgmD1/NznPlfts88+Q9NKJ554YrXLLrtUYXGfioq1CgsRJjHnnHOOa7mfSEhJ1KHTe+M6eyPe/va3FxK/0korlccI7UDulbdfyf149WSJd1ryQw891HGIlfqzyMuXXxdkf955551JEfz73/9e2pIy0K0nZlaRe+PWHg8Kzj/+8Y8SqsM7UBdW/VVXXbW0d0oikAj0DoEk973DMp+UCPQjAj0n9yzOyLaT2Mjuu+9eiOrnP//56tnPfnYhZ9z7e+yxR3XVVVdVu+66a/XUU0+V+HeE5IwzzqjE1B9zzDHFEul+hSSsnAiAOF3hGSz3J5xwQiF+SAkLP2ugzaPtBPFCKD772c+WEAMWSWW69NJLq3POOae8y9/IB+VBiEw9xt1x0WKClW3dddctB2tst912M15no+/BBx9cNvt6tmsXW2yxGd/D5bTTTiv1E2qwzjrrlLAEZJWl8mMf+1i5Vj19JsZZPW2MVT51F5ISoqxioh999NGysdjpp+LRgwg7Cc8m1I985CMF/yCejvZmPbVJVxy0fQs2F9fJoHhnZRJvzYvgPeK5x5JTTz211N3BUM997nOLpd27hE/ZM/DVr3619AVt6fjt2FfRfCbLM1ztw3jlK19ZngVLeAnXCHIPO0eU+xxprgsviJNgL7jggtK3xKGHktCqDrfffntpd3jAym9Eed99953hOYj7PPfcc88t/Vw/8Oz6ngahJ0cccUQ5FIvngRcCfki9a40JoTMIOMw2/mTAAAAgAElEQVSizdph6+CrW2+9tYTadCLwQoz1j25kLHK/8847l37ES6Cfax+K90TkyCOPrOaaa66y2XvLLbes5ptvvuruu+8uuIe0IvcUAW1kHNrTIVyPhyLDdibSCnnPqCKQ5H5UWz7rPSoI9JzcI4+InDhZR0ZfcsklBUukAKFGBpBqizjihigIOUB4EAvHTSOjiEwQv0033bSQW89GikxMYblHDOL0Ou9FsLj5l1hiiae1ISUC0USgETnxyQsttFB19tlnFyUCIbKh909/+lN5B/K58cYbl42M/lcGBFPmkMcff7x6//vfX6ymiCixiVRIBPLh/er6k5/8pLr88svL5kH18nzHaXsOorbccsuV0APZcLxfg+ywww4lGwxC7TeCtuOOOxY84OKdRPkQzG984xvlmZQR9Ye5TDUUH5hssMEG5aTeIJ+UC/sUrr766rLZFon1vb+D3CO1rOa+gzGlwaZNWEWITBNgRNv3BLYIlzLY/EwZg5O6wNL7kE9YthJtDZ9FF120tCfy7j7KAoKOGFIQtD2MbTjVh0I5opgI50DM9R/9j6JDQYJHU7SR9qU8CWXxrNe//vUFI/3m/PPPLyfLEsojckuR1ebIPQWOskooExRc1mgYIMXaMb6PDd364Ote97qO5hoKAkw7Ifc2NiPN2ll/7EbGIvdrrbVWUaBhLysS0T/0925j+5F7ezwoCJR9SizllGLYjtw/8sgjlTJsscUWZX5hBNh8881Lv9evkuB309J57SgjkOR+lFs/6z4KCPSc3AdoiCISYENgyNxzz10svwiphZgVDkGVhYN1liA+p5xySoktDnK/2WabFYLdKiyH5Q6JITYbIks2H9pk2E4QXqQPUQ4lAGFDNFmpEUmCeAQ5Vx+KCEHMiVhk1mIhQ0RGm/e+973lh7CKs/ojesgMAo9k3nDDDcWSzJrLuqsc6ozc+y3OnIKBuIZI+4i033HHHYXcu2eppZYqSkoQRIoLBYolmNLCqvzOd76zbMxFupF7hBQ5Rlrf9KY3lccj8qz22ivIPcylGVW+kNlmm61sAkVe2+0HgJG20n6RLQf5Rb6EYcQ7ETkhJsgxLFqJTZXqod7RJsi9DbVILvwphkQdeTi0F0Ho3QuPEOWhTGnjOrbxvUxB2lmfQvIpoPrEu9/97tJWsg95r7JrR32IRP2if2pvBJtiQ/74xz8Wkk1JIaz3+o3+Op7FPsrWDbmnPBtjEwlbakfueZK0PfKNGDz22GOl/+ljNrd3uncg6lMn9z6D6bXXXlsw5VHiGWta7nmX7LUxvkNRpTDClieFApqSCCQC4yOQ5H58jPKKRGCQEZgycm+xRRSQgch0wvIpqwfChIghpmLMhWkQROHjH/94cbkjPp2Qe8oBqzthHUZ8kUuErJ0gfMhZndyzTiOgQgOQXMI6iJCzUgq/UVYhAEJVkF9EUDgRwhrEkBUSWUX0EDxWYNZnpJwlXKhOWPpbla8duUdWWX6D3FOIWKspEO1ESAgrOwIc5F7dlZ8VlDIRUo+5Z/WGPdKkjogtoqudeE4oBtqvKSzcyL2QFO0X5J6iRfGoK2fqIzzKZtB2Zw20I/eUE1bf7373uzOKwFJNeXSPeis/JYvSqPw8GdHP9MlWnh3KhrZSrnqcN+swsqwfUE6FVG2yySalTyC2PDSUlKhfEE5kk4KIGKt/bBqdSnJP4eHloeB1mjK13o5jWe6F0AWG7jGOeed4jni4upEmuadgrr766oXgG3P6bZ3cRxsi/6Fcx5jXVtrdeEtJBBKB8RFIcj8+RnlFIjDICEwZuUf0WNcQDeEQQh4iBhrpYqE/4IADCjmIOOiJkPt6KsywlHsX8tUNuefqR+6RUplMCEshKy8SIz4a6UW+lZsVmzUV0VNPHopll122EHcKRmyIRYqFzLB68lawyoelfzLk3juQc+EhnZJ7bcIDcNNNNxXFqp5qs54t54EHHihKCAswi2zsn1BP9RFi1OogrW7IvfZBjCdK7psbarWHdmNZh4nys5yzjDfLL9zG9U0Jci9ER78M0d7i5bW9UCyinRFoSqRwJYpikHs4sC7bGI1wIvXCTgKzqSL33mu/B8+GkKeJSDcbanl5KDiIOtLdTVhMk9wrK28PDxoFhRJLIRVaRaEyvijRFCaGg7osv/zyxWNDMW9uyp0IBnlPIjDsCCS5H/YWzvqNOgJTRu4BK1e7UAQWT3HHcpazhlu0WbyREKQopN/JfZRTmAWyJ9ZYSAYFAFlGPtTXZ62ERV98cLuwEPd0arl3+BYSC0fhM62kabm3xwEZRaKUt37IVJ3c80IIaVG/8Ip0MlD6hdxTTpSf14S1uVNpR+4RXqRZDD3c11577aK8scbDkCJAAax7JrxT2JmNxe61mAq1QoCnitzzLGlHXp2JSjfknreC8sSDNN5G62Z5WpF713hWeN0oUhRoe1IQfgp2PWQqnkkB4BFs4j9RDPK+RGDYEUhyP+wtnPUbdQSmlNyzygp/YI1jxWTBtHgj9RZtm0vrFtJ25L7VhtpWee4jH/54YQKRY9sGRVZcIixHbHekFgzlJCz3CDRCL8tPxGvzELCEC/NgMRSHzmLqsC3hLEQWG5s4kUzX2phJyanXGwFk0UcUg9yL72bpZfll+RcGhEDyLAhjsXFUeI0wGwpTCKuzDCxLLrlk8ZQIl0D4ZKkRx4xo+uGlQFJDXEP5QKIQV1ZwoSwy0XgWEToh5GaZZZYp4StNqZN7OCo3aRWWE5Z7SoZwmlYSYTnKYCMlsqyP8PRoA+EzIXXLvRAOng14qme0Mc+L8ou7R/6bEuS+HuPvGhucbfSGJ4u8fQw8BPEMey2ETAW51C76SVjq7VHQ34X26MvhCQhLs/KOd5oshdH1zVSYyue9wmW0Tz3uHFb6Ubs9Da0wHy9bjr4aoh9T2vV/40M5KDD60nj1oTjCh2evKTYzRwYp/ZlHjMDbPdpHdh1ik7oQMdfItJWSCCQC4yOQ5H58jPKKRGCQEZhSco+YIjXyc9tMKawDwUJskSNx3yGRopESwLLvnggbCXKPQCEPsp0gughPfSPdPffcU8IxhAG1Ig3xrsjcwxIb+wGkV2SJRDaRY4JwIxJIpGwoCDWyxOooJAZxFGIkxaPwBPsFlIcFH3FGLhEfcdfqQCFhuVdG2WoQUBtcERYpPIW8BLlHBE3AiLV3I7SUET9iqeHAaopwInQ21ao/a75yqgOSrn7i0yO7iTIoGwuyjDXKg4gjqMi8eGfKl3KIJUfyWYLtQ+BlQeKQr2Z2lGg/1lZkVtt6HmHVtbmzbln1Pl4H/QJ2rSTIPWVEKBCFyW/KBcVBeFEIck9JiA3BwmDsf4AVxU36UHWHfVjS25F71xsY2s/+AjH3FELKWcTTI7X6KrINbxgKM1JG4Uzaxz2IdSi0oUyG5d51SKr6BFltN5loB+WBSV0oBogwLwKlIuLOta9QFSErkeWnk4mqFbmP/SQs5DxTyLtxou9rb0o60df1a0qwMT5WmI69GTZH27jcSuxtsVHeOA9yj+jru9rVXhvjxf4c/dF142HYSf3zmkRgFBBIcj8KrZx1HGUEppTcA1Z8OUJfz0XNcsnSzcVeF5sfHexDkBlkiYWYtdQGOwQN6WVNR+BZKhEI5BZRYF2VxYO0OtyK5VeoEFJFEGBhJ8g5Qkq8gxVUSAfyTxBHxALxZQGnpCBayDmihgwT5RHnLTc+JYB1WbYZBAjRRW5tAmXVFVOMJCGJyh/ZZ3g7eDjsHxBmwROAPEVKUVZo9eQRQRbtC2DZZimlQCB4wheQLwSLkkTmn3/+YpUnCKt3+o04ucdmRvdrJ5Ztz4M1pSPuQyIpRq3i1T0XkY4NvtoSXkiclIWEMqLNhVBE5piwxLY6hdT5A5RDigFMbfAVFqOtCYWM4sFTQlEgvAQ6Ne8GnJQ39iVoK/Wp7zWo97+w3CP36gE7ihH8fQYT76Y48sZ4P4WO0gAbZfQOf/PQ2ODtfgQf6bWvg1CSbALVR1ib4R6KUHMyooBRHhBs4nn6gnZjtfadvt5KtJMQsnru+JYX1j5sRe4pEKz0+jaMtJn3C5+hpIWVngLJwwIbnqZWQkE3BiOLliw56kjpqguvgz6KzHsHMX70G2WUWtRYhaN+EVmYxqtffp8IJAJVMc4w/qQkAonAcCIw5eQ+rLV1K16rz8AbGx8DaqTBfZHf3uc+MynVJyYTlWvqlmGftcq9jag0r2t1b/Mz743P6uVvhh9EWcOSrQxNC2aUweftvlfX+K5e5uY9gYXP47sgQu6rS51A1u9TB9fW74/7xitrk5DV/4+2Gg/vaOdWQyzKGdfU+0jUud5WPqu3STflD3JPWaLstGvDOnbRxyK0xvt9P1aZ1DPaplX713Fo9vUYA9GnWn0f9zex6GQKa0Xu4756vVqNr+j7Y9XJNfV+2W4MRB/2uzl+6nVuN847qWtekwiMKgJJ7ke15bPeo4LAlJP7UQEy6zn4CERYFwt0WIsHv1bd1WAsct/dk/LqRCAR6FcE+oHcU9J5Z3m4uz0Erx9xFYrJo19PMd2P5cwyjQYCSe5Ho52zlmMgEBZ68f/i3yOVanw+SuAluR+l1s66jioCnZL7mAOFywpztJdKaKR9PPVsa3BE1iWzsP8IYXfwYKvEC+GVQz6kWhbeKHTQ/jFzr3BIIatCUiMZQr2dhDsK+bT/SMijhB3CVDuZr+3NEe5LhHB6d12E1qqnZwuPFTbYSlwnRFBIZdTHHif7wLbddtu2oZ+j2t+y3rMegST3sx7zfGMfImCvgfh3lqTITiSWf9Qkyf2otXjWdxQR6JTcw8Z+M6du258mY5UN8/adCV+sh3raZyOEzl4i+4IoAQiG302xV8r+q8jYZl+e5BEyrgm9lPnOu2TnqqeWticNeaZc2G8jMYc9R/YeSXwwltjDQ/GwZ8oeJnvN7JGKvX/2MMlqZ/6XwMJ3Eigw+ISEAiHbm+fUM865BuG3jth3lJIITCcCSe6nE/18d98g0NyLMZF49b6pzCQKkuR+EuDlrYnAgCDQKbm3cV0mNiQ7NsnbpG9jP4u5jfZEhjsZ1SLFs8xZTmSXcKCZnUwSCFm96ml1ZR6TyEHiglAcWP4d/igrnWfzDPjeu23uD/EciRvCMNOqCSSyQOIlkYi0vciPjHCSMVBAJNDwTv9LCBHpqSMzVzzXwZnWC/VoJZQgyTs8PyURmC4EktxPF/L53kSgDxFIct+HjZJFSgR6jECn5F6qWhZqWehkpwqR8UqqWtmvllpqqZJFq3k6tJAcWe5YyCPJwc0331wybQl7kV0tRDpbikBd4jwaZ7vItCYURvY0mbGc7xIiHS5rvqxo9WfWnyUlMKF0hLhe6A9CL4OeUB9pq+MsGe+nvEgzHGfbIP5HHXVUsei3CwOK83ZkeeMBSEkEpgOBJPfTgXq+MxHoUwSS3Pdpw2SxEoEeItApud9rr71Kauh6xjPFQHqdN3PqqacWYt0UB+4JWRFDX09TS1FAsKVxDgmS3CTLUigjx3FgIMs9Cz+lQqphMfFEOI74f5+3E55YSRLivBfXCR/ijWDN97d6Smcs9EcqZQqEMBs/yD2PhfAf6ZSlmx5L7CXgIRC6lJIITAcCSe6nA/V8ZyLQpwgkue/ThsliJQI9RKBTcm8vkrAU51I48DDEwY6s3qzY++6774zPxcvbVOssG9b42HDqAmeHsJKLYe8kZEXcuvnIuSjhNeAhsMmVFV/YjM+dW+Isknbnl3g3cu9AR+E5cXK40Jk4NZ5igfgLNWLRdyCiejkU0dk2ng0HZ+M432M84dkQquR9DqFMSQRmNQJJ7mc14vm+RKCPEUhy38eNk0VLBHqEQKfk3uGOLONIOWt5iFCY97znPdUXv/jFYk0nyLID5YS3ECEyLPeRccbhfbLTCHcRlz6WiGkXD+9E8mZsu2w5rPCeJ+zHIXjtDlaMdzhNm7KgPrEJliUeUUfAkXsx+zbv2izretZ39VN/J8nbuIvo/+tf/yrlF7LEs3HYYYeVTbh1ce2HP/zhYvVvbrrtURPmYxKBMREYKXJvAJsYnJrrFFFpq5ZeeukJdxF5baUIs8OfW5BWL4VXSiIwqAgkuR/UlstyJwKdI9ApufdEBBhJRWRtaH3ggQeqHXbYoWyKPe+882Zsoo23i6dHeE866aSyUVW2HRtixecj5cg4JWAsueGGGwqpZ023wbYuvAYUDakzTznllBLDLy6+vieg+WzZcXgMWORl+3FiOyXE36usskr1ve99r9zCu4C4ez/PAwVGak7hO9JoIvGs+/YgXHvttSVsaMUVVyzX1iXqarMvr0JKIjCrERgJcn/dddeVScamHrF+3G20dZq//LgTkVtuuaXE6LEYPP7442VHv0F+xBFHVAsvvPBEHpn3JALTjkCS+2lvgixAIjDlCHRD7hUmQkzmm2++kh9eVhwx5TaNzjHHHC3LKz7dZtq77rqr5Lu35jr5W6pIpLmdIOJSUgqD8Y66IPWeKW5fGk7rLQs5j4DY+XpqzubzEXeGPaE2Mvkwyu28884VL4TwnFbCg2BPgTh7XEFYkJSdlBok/5hjjilpQpt7Eig0LPZ1z8aUN2q+IBGoITD05P6JJ54oFodjjz12hlWdVUHO28mQe5kBpN8KlyS3nZg+6bZsMhLjl5IIDBoCSe4HrcWyvIlA9wh0S+7rb5D//ZBDDilx87LLtBNx+lJZ3nHHHSXbTVizxyLTCPihhx5a1tbmplWecptoeQ/22GOPGa91vUw7nr/aaqt1DEbsIWCR51loJTz8DINCdYhNvhQUVnsbhXkndtppp4qxD+kP4XFYa621ioIyXghSxwXOCxOBLhAYenJvIjERId+zzz57gcYu+I985CMTJvdi9eTB5WL89re/PQNubj8bfRzg0bQ4dNEmeWkiMG0IJLmfNujzxYnALENgouSeh3rjjTcuh0iJPx9LpL0UWmMNnnfeeQsBZmE/8MADiyW8KTzgFAffvepVr3ra90JgEWtEvmn5Z0wTT//Od76zIwwRch4E90Ru/uaNOMOFF15YDIHPfe5zy9e8AxQIp9FSXILcy7YTG3VdZ1OxcCbhQvVDuDoqXF6UCPQAgSkh93bMI8AGK41dnPujjz5adpwbtFxnPhO35thpnzU3pNjc4qhrZFkcu8059WucaOeADQNKaIw4QBtdXBduQpYDA8wzxNd5juOsg9wL0XEKHjedMiHs9SO1xfTZOa8+jrkmMelwBXond2UIzV3cPdfheBt8etB2+YhEoOcIJLnvOaT5wESg7xDoltwjr6zWYu2RYbHukbte5W6//fayPsc6bX0WMmNdFZ7jfWLXbczl4W5my7HeC2+xgZZlXtpLhN0aLPxVeIv1nadAakxhL2GsE6IjVAjhtglWiIz1WSiQ1Jsh1nGefAqHNZpVvV3sv/oqt/Agh3iF+ByH4KFnNFRmaUGF69TFvTz4vAnqlJIIzGoEek7udX7avVPcuK78nHjiicXCbcAbpEJaxL7Rgm2+MQnsvffeM+LlnBQnxZbNLwi8vLNcaPGZHLoOnTj33HPLRhcx7p5vIJkYbGJxip3NMmLjDDwkH+n3LnFyrAO0amW1mUaIjoHsuYQL0MQgv63YPAdTmFS8u56PN/5mlbA5V3aAcOHN6sbM9yUCk0Ugyf1kEcz7E4H+R6BTci/pxOmnn17WQ+E1sshYJ5tiTbc+suqvvPLKZS23diPSdYMZi7kNsXfeeeeMRzDibbHFFuVzazQSTpB7fEJWGkoFwRdwBeVnOPTbe6XFFAZDKBH2BginQfwpHZQRf99///3FyGieq+ffb9bHO3yvvk3BKRgIHYxl4y1PRDMjjjShuIE6pSQC04FAz8m9HfRIPIs4kX5KnleDXYdnRTcYTACs9jRcBz0YdIg01xu3F/JtI4vBi+xz562wwgrFekCbR+wNaO5Bz+P2o0Ej5J4XA51Lze58k4L3kbDcc+8ZvBQB+Xy/9a1vFUViwQUXLC47SoJ3E+RfuXggWglib1MOi0FKIjCoCCS5H9SWy3InAp0j0Cm5tx4j9Ui3UFMGt1Zi/fbz5JNPFvLMgm8dbYr11DruufEs1nSfW58R4vrmVBtapdKse8LxC+u06ADEHb/gMa+L5/HUs+QTJNx7lIsxsJmBp34vr8HPfvaz4mFoJ4x8lAr7AuIdcS2Oo7wMh5kGs/M+mVf2FoGek/sonoFrAqGVhzjYQSyazSaRUSby5cbx1ieccELR9g3++i58OW9ZEFzPWi+ejzVfPlmuMWIzTuTWZT1nAUDuxQY6UroZc+8Zjs4m3ktbpxhIjcXDoLxCe+IQCpt4uPKaQqlg/VeWlERgkBFIcj/IrZdlTwQ6Q6BTct/Z07q7yjrKIj/WibLdPbG/rj744IML3xhvT0J/lTpLM2wITCm5F5MnnCWENZ5Ly+70sOyfddZZJe6NRRz5trOcxiuGL8i4+2182XDDDcsueTF4Qe6F/yDlEyH39Ww5Qodk1QlyT8uXP5eS8f73v79kxanH3tU7ghy3lAgTZkoiMMgIJLkf5NbLsicCnSEwneReCTfYYIPiLZeUYpgEqccF7PHLjHnD1LKDV5e+IvdcWXbByzZDKaiTe2TfRhYTgrSWU03uNSX3oN3wrPhi6oXxCAGq59K1GVdMv5Cj+gajwesKWeJEoCqxqGJJ052cvSERGF4Eppvcx9oqLl5s+1j56QehFdSHsVDef+HEde4yCOXPMg4fAn1F7mWk4dLy08xBb9AIl6ERO3J6qsm9mP5NN920aN82EwnHkaYr3h9dwQ5+10Q8//B1kazRKCGQ5H6UWjvrOqoITDe5h7t4eh77eeaZZ+C93si9uojzb2b+G9U+lvWeXgRmKbmXWz7CcmKzjbg0G1HtrLex1UYW6bKEwPzwhz+cgc4BBxxQYu6lpiTIv3j5elgOa7+NNeL67dqPmHvpKm2AsRHHhGKDrXh6qTB5A8iXvvSl4hWQYstmX6E/dvmL9Q9B4lny65/ZVCPrjpPukuBPb2fOt08egST3k8cwn5AI9DsC/UDu+x2jLF8iMMgI9Jzcy5YjJaUNrcJU/O3YZrFoUmjZ5S4dpfAbG2DFq8tMc+SRR5Z0VzLmSFV50EEHlbg82WeE5IiHl1bK5labb8XZi9dnXXc90i4uX8y+dJhIilRZyP++++5bPkO+PVeOWoqDk2r9baJD2N0vtl7Yj/Rb4vvdL/MOhcD311xzzYyTbmUGkNqL0sGzsNJKKw1yX8iyJwIZlpN9IBEYAQSS3I9AI2cVRxqBnpP7u+66q6SQjPhzpBuRR4BNKD5Hzlnx5aaXPkt8mrRW0lKymhNZauSMl7NWmslIWek7uehZ3aXckhbTxlfpp4TqyLBjJ760XdJsOkiLVd5nFAXZdigY7vWZg6eQdKkynUInBIfi4Dvv8EzvcCCGrDz1U+i44uTqp8D4jmKSkggMMgJpuR/k1suyJwKdIZDkvjOc8qpEYFAR6Dm5H1QgstyJQCKQG2qzDyQCo4BAkvtRaOWs4ygjkOR+lFs/654INBBIy312iURg+BFIcj/8bZw1HG0EktyPdvtn7ROBmRBIcp8dIhEYfgSS3A9/G2cNRxuBJPej3f5Z+0QgyX32gURgxBBIcj9iDZ7VHTkEktyPXJNnhROB9gik5T57RyIw/AgkuR/+Ns4ajjYCSe5Hu/2z9olAWu6zDyQCI4ZAkvsRa/Cs7sghkOR+5Jo8K5wIpOU++0AiMMoIJLkf5dbPuo8CAknuR6GVs46JQIcIZFhOh0DlZYnAACOQ5H6AGy+Lngh0gECS+w5AyksSgVFBIMn9qLR01nOUEUhyP8qtn3UfBQSS3I9CK2cdE4EOEUhy3yFQeVkiMMAIJLkf4MbLoicCHSDQFbl/5JFHqg033LA6++yzq3/84x8dPD4vSQQSgUFB4FnPelZ1zDHHVG984xurt7/97YNS7CxnIpAIdIHAi170omr++eevHnzwwepPf/pTF3fmpYlAIjAICDzjGc+ozjvvvOqVr3xltd122z2tyM/43//+97/6p7///e+rRRddtNpkk02qf//734NQxyxjIpAIdIiACeGmm26q5p577uoVr3hFh3flZYlAIjBICDznOc+pWPV22GGH6sknnxykomdZE4FEoEMEbrvttmrvvfeu3vOe94xP7h9++OGiBVx88cUdPj4vSwQSgUFC4JBDDqlWWGGFatVVVx2kYmdZE4FEoAsEMiynC7Dy0kRgABH4yle+UpR3SnxTnma5R+7f9773VZdddtkAVjWLnAgkAuMhkDH34yGU3ycCg49AkvvBb8OsQSIwFgJdxdwnuc/OlAgMNwJJ7oe7fbN2iQAEktxnP0gEhhuBJPfD3b5Zu0SgKwSS3HcFV16cCAwkAknuB7LZstCJQMcIJLnvGKrBvPA3v/lNdeihh5aNkm9729uqgw46qJItgZx00kmVuKwXv/jFlVhrWVJmpVx55ZXV9ddfX22//fbVvPPO2/bV9nXb7HnhhRdWxx57bNnMvfvuu5eN3fHdrCz3ML8ryf0wt27WLRH4fwj0A7n/29/+Vl1zzTXVyiuvXD33uc99WtMM0tz+3//+t/re975XLbLIItWrX/3q7GaJwLQj0HNy/+tf/7qky7zrrrsqqfV0ekH9F1xwQfXOd76z+upXv1ptvfXW1fOe97xC2P71r39VCy64YPWzn/1sBumcdlSGpACPPvpowfpLX/pS9dOf/rTabLPNqnXXXbdsiF5zzTWrTTfdtFp//fXL33fccUch2m95y1umvPbSr1EmTjzxxOq1r31t9a1vfat61ateNeZ7Dz/88Oree++tPvWpT1Xvfve7q+9///vVCSecUO28885TXt5ResEgkftTTz21bPCPueSpp56q3vrWt1bf+MY3ZiiLn/3sZ6uPfOQj1fOf//wy1yy33HIzfT9KbZt1TQQCgYmSe+QxCnQAACAASURBVGs50nDaaadVt99+e0mLbV1vinV/7bXXLuvNvvvu+7Tv//CHP5TPGWvmmGOOGd8j9BdddFH1iU98ohikWsnPf/7z6gMf+EDhDEsvvXR1/PHHd5S6989//nP10Y9+tDJvMBBZ/4488siZMoP96le/qrbddtvquuuuK2UwH7YS1zGUMY6FWNcOOOCAao899qgWW2yx7GyJwLQi0HNyH7XRyRGx9dZbrwzWpsij/ZOf/KQsvCzLKb1HYM8996x++9vfVl//+tfLw03ENkObjBHkyHR63333lYkY6V944YV7X5A2T/zwhz9cfec736kuv/zyMcn9Qw89VPK13nLLLdWSSy5ZlMVVVlmlcv9GG200y8o7Ci8aJHKvPa644orq/e9/f6WPvOMd7yj9qSmf+9znqo9//ONlsfY7JREYdQQmQu5vvPHGavPNN6+e+cxnVowtMmrNPvvsLaH8whe+UEiuczP22muvma5xXo715qqrrqpe+tKXzvgOYUb23StdZ6s0ndawD37wg9U555xTrbjiioXY8+Ja19Zaa622zfr3v/+9vPMNb3hDddxxx5Xr8A7PufTSS6uXv/zlFWPY6quvXlk3t9lmm2KFZxxgIKsLxWD55Zcv973kJS+Z6bsHHnigrElyjDNapiQC04XAlJH7O++8s1hlDZK6dhsV9fk3v/nNQuyk3kvpPQJzzjlntfHGGxdLS1122WWXYjVvHGPQ+wKM80Q5WE3K45H7L3/5y9WOO+5Y/fKXv6xe85rXzPTUQXLdznKAJ/DCQSP3qnj66acXaxur/Q9+8IOnufiRAZ4h/S0lEUgEug/LMa622mqrYhhC2HnL2gnv/Lnnnlt9+9vfro4++uinjTuk3HgVjtlK3vzmNxevQPOgTEoBo87HPvaxmXJ3MyBaRxiy2oV3MiQq+6233lqIPHFuz7LLLlsdccQRxYr/wx/+sHiyRR8464Px6O677y7RBi94wQtmFJW30HrEC9hKTj755KKk8DxQhFISgelAYMrIPSsrl5kJ4ayzznpa3Xx+/vnnF6v+aqutNm7d25G4Vp93S/i6uT4IsZCiTqWb53f6zHbX1d+ljLvttluxhNSFZUEozHSTe27ZSy65ZFxyH6EVv/vd76qXvexlk4Uo7x8DgW7I/azs1+M1GusdK96BBx44kytdHKw5xgLeyZjtpzqNV+f8PhGYKALdWO5/8YtfFCs9Yv21r31tTMKKDAtXQW7nmmuup5F7ijjj0hNPPFHCdlsJ4s9C37TcI9/i85Xn9a9//YxbKRHvete7yjtZ3VsJrzTPnhh/e88IZWCllVYqYass9p///OfL/EGxmGeeeYrV3n32etmXRnzGaIbcjyXmGpEL6SmcaA/N+yaLQF+RewsrssfSJmaftY3rjCJAhPKIhbP5hpuNFr7EEkuUhdugNGEZUOEGFFsnPIjLXiL/L37xi9Wzn/3slpgZzH/961/LdywGjz/+eBnEZ5xxRsntb7DSyOMoX3+bDJSBi+6www4rbsK//OUvRftXTrGEQmJ8vsUWWxRrhjrG/oN2jXfKKaeUEAJlYJUQimLCVAYTIo+I54trhE2EPZn0Xve615WJTniC793jnSYxnhITbnwGL25RE9gyyyxTiVn2HvWCBeyFTREYmtiFQZjgWF1Mvt7tKHNWEGSdm1O9xWTCoS6sJ7vuumuxaKyzzjqlHblitXmrmHuWGtbY+++/vzwmFiQbcV1PafnjH/9Y4u65TsU5moi5dO+5557iFnat8nzoQx8qFqRof/XRZmI/taV660dct/oNJcLErM9wr/qMsjrs0o7ci3PVdtdee22xfMGzVSztdOGjj+v72lUfZVVDIFj59A/zRFNsNt9///3LuNBHeLPqYV6slYiI/Sj6Mq/RfvvtlwrmdDVyvrdnCHRD7mPdNVcvsMACbctg3TTHWiMlZzC/1y33//znP0tYj3VmrIMwjVfzbZPcC+NZY401nrY3jEfX2BeW0+4MHnxhvvnmK2u6+UH4KVJPYeAZZpmnUJjjjHd8wPpgbbLGSULBYGk9N2fMNttsY7aF+UKYz49+9KOWm4V71pD5oESgDQJTTu5pyyxqdRebgWEAf/e73y1kLCz3CKtF2ecsBTa7WEzjfxtWEG3kOKy4YWmzQdNkgNwT15lMkE1ET6wdUtxusImV826b7n784x9Xiy666AzI9tlnn0IKxRmKtxNShEQoh8mCtUAcH1Iu/pdQUBBDkwOLB3G9zcY8Fgh4K/Ed0soa8cIXvrA8h4UBWTZZOkoY6TChhavQZ2eeeWbluOHFF198xmOReJMV/OsiVMd76pZ79TIhsYwgREixjbbqhsxzTcKBMiBe3+YkE6kJUmyiBQD5V1cE8eCDDy5linhFE7PsNmIRPde1W265ZVkE1HWsDbVhuX/wwQfLBG3S9GzkcqmlliptDWdt4reQMMoDq636mMz1Qy5YfQmp85v1xffIKlew/kIZ3GmnnYqCAG99FekXW6mPDLu0IvfhhdPWMNOveYT6bUMzixuLHkVWqJdF2zzx6U9/+mnNxvW+wQYblHFr/jFvaHteRgozxdIcQBFdaKGFSugPZe/mm2+eKU542PtD1m84EeiU3Bv7xocwFYYe48VGViTbeljPsMYQZo60flhHhe7Uyb112LOsA0cddVRbYNuRe0kU8ALj2TtCkHHrnnXFuG8l1jrrjLWS4cpYt64y7IRIOqF8DBgUeQkokHzGLusjg5s1iyHMGsT4Zj1kMGuKMuIv1kjrTkoiMKsRmHJyT9NnuTY4QhBlBNUAYWEOcm9ASM+I5LOcmiAQLESQxk9kdGEpV3Ckjhi4SBotnNDATTysjSEss6z7JiADvJV4NoLv/ngfS7zJiJKAyCOPrHs2odZDRExyyLUfpEA9WI4N7iD3CIN7xiL3Jk+WApYNEzCLuAkIyRe/x2rAA4DABrkP8tuK3PNYIDl1EXtIqaqT+09+8pMFr/qGRBggwdrK5CnTAGKnfShK2s+krz0Qn7ql3kYr1g4TOgzFQmoT9Qih4HDj2pg0FrmPtjOJe29IZPZB3lleTbYw8znrkfKGIKIUnc985jMzvBGu08fUz/3woLgJWULiKC3EYoPYhnIxqwfprHxfK3LPggVLh9hpR0q2BY33Bi79ItqPImaMCNNRXkppK2+dBZeiUj+amwLHCGAM3HDDDWW/inEeqWPD+2Nzd0oiMMgIdErurUcMPNYCG9Nf8YpXFPLLw4n4Wh/M3dYesfiIsMxUDG1Nch/GO2t3eMBbYdiO3D/22GPFKEbh9iyKPO+cdyLrntncX9Z8PsLN2GVcM0AxWDGiERyFkdA6Q6GnTHie97jW+m9NZ6jyPvVnEPLMpmcwPP64BK99SiIwqxGYcnKPSOvoTfE5F1c95p6VjTbNiso6ICyEyxyZteGFIGOssCYYg52F1XMQjlioWYuRagNUaIqJDDHz/HZ7AOLZyJ2BL4QEmUaykX5aO2G9YDVm+au75iI7QFgVkMnYMBrkXhlMhGORe0ST1RlhRrRYIRF8ZOo///lP2eSjvnVy753KNxlyT+kQ8sMy7j2s/kKjTJ4RRmQiRMTrG2C5ak30JnQ/CBaFjPeDaEcWEdbwyHYTfaHTmPt25J5CZbGBh3cT5ZN+zW/lCtEPtCfXrespH4gcosab4H7uYm2mzdU9SGG798/qwTor3teK3Bs38KBA8xhRJnmSWnmFZkUZx3qH3NnGjr5mDLfa9BZKNle+MRzeP/2UwkzJNR6MOdew6lOIeavMN9HXpruu+f5EYKIIdEruKbSs7NYla1EIIm89YMSylrNoS5wRRNl11hDfS1tJIqxmLAOb69qRe98xulg3rP9CNnnKGZys0Yg0a3s7obRbj5Bt6zWS/973vrcYKGKDMH5hHhCuKQxTyCmvnZBXhgNzBau+cFkYWNfMF95fFwYna413mCdTEoFZjcCUk/tuN9QaKFz+XF8WVAOkTu4BhIyxJBh0JhY/NtNEWirkH4lmdTBY64LAWqDbiUGJXAPGc1ma/e8HcTB5GOiIdH0ikyaMUsKbgPhMlNwrFyKl7n6/6U1vKvVkGUA+p4rcIzVIDHLLGlEXZB0xNpnHBliTHkH2ZDuyUclndW+AyR0RCk+BsAlkKaTTbDljkXshNch6eDEiZEQ7ch3XJWLmKZRIPXJPmdGf3K+vKJM6qlccrBJhRq2y9czqATvV72sXc48Q2+gGJ8ozZdsi3Az5murydfL86I+8QuF9qd9HebePAkGgINa9ivqsdkd+KDUMBpQ9ZJ9Sb+NdSiIw6Ah0Su7N+UgsS3k9vCQMVYixcEiW7WYGHeuI9db44gkT985AMBlyD3froB914BW2RnoXT3I74cVTfnM9pcBcT0kwf9UjA5r32+9lzeW5J4xWjHVXX311eZ76mwfVra70M4AxLlmP7NtJSQRmNQJ9Re4NIK5+Gr4BaLByfTXJPZCCSLIWcKNZhMPSKibcZNQqRtpk0C43r+dyJ4rFRVaRAxOAAcol5zubdQ1oZavH2rEIUEjCUuEeE6NBbkIjvBLI5FiWe+9ApE2KDuPxPvsVlEV4AEsKb0Y95p6HQ1jMZCz3wlKUX6x9XZQH4aEQtSL3PAjiIHkOmhYKE6j7IsafRYQCNJXk3uRNAWvGZXonBclGKv0JgUty//TpphW5R26FXOmP2tLCLtyO1WoQyb09F06RFCZmT09djDXzCEKCPOi/9m4ITeCl6jS716yeyPN9iUA3CHRK7mNvVH3/VKyTyLyQT94va3Y9GxVPqT1oPGcs3dYHBFuIbn1vWqsyj2W5b15v3bP+GZes6e2Et5GRjIU9jHKMdby8wm4Y45piLjDHCcGJPXhIvTBiXkFrmfXeNYx79f0HIgcYBOuei27aJ69NBCaLwJSRe+4z5KldnvsIy0F+Dfgg7O4RBkJozUiEGGgbUesSMW2IpYFbP1k1NuKKuxVnHwdlCNVggYxY/XbgxcZXpJz2XY/dtuFOnbyTRh9idz+PA+u0MrMmI5mexZNAYsAjSyaVVqKuFIlQCFg8TJBwYjVkxfZuIUlhrY4NvUKFhCJFmIHJVlxxMy4alspVt7LzhCC9PCAULBO2yQ3Owhxk7KFYmERZxSPumLJksqN8ULSQQAuHMCmbqbhkuXRhZu9CHKil7p4n9l9s41gpLmOzY9MSa3J1Xz0sh1UWdhYeClB9wUHUYEdJIe5n+a+H5fhO+1BammE5PCn1jdaTHXz9eH8rcs9CxTrnh+hnFmzji1VPP/IDM6S5nhN6OupoPrEI2+/R7iAZ7S78zLhFCvQTyjfXPg8F75z2jpACY0GfN57s20hJBAYZgU7JvfXS+LemmcdDGM+svbxfkhq0EmOqbrk2PxibyLDY9nZirTCnNz3IzesRZ2uwOdu8VU9jSxFH4mNdYYRg8GFgEsoZgofYN2Y/QVOs9Yxb9f0BsuMxggnxEVUg3p8BLjLTxTMoPdZla349nGmQ+0yWfbAQmDJyH5s8ubBYvpqCWFEADPIgzwgDAmHxNPkI0VHAOKCGRh/CsoZIcLsjm/VQGy47VlqLM1JqgCObSAerd/NUuVZNZkDS8lkp6xZ62n5sukQKeQlYAmntSGi44MTsuc9zhHrI0oOkI9E8Az4zOTYFETcx2AgotSMrv2fCAiGJnL5iDT3n3nvvLek4kRSf8TSoe6QHa3Vqp8w23IuIMAwJTwTywtpOUaJgiPU3GYu5RHQpJMqhPevhNaEMIdTupRh4P/InrMnEp6wUA4Q+4u9Zc0z42h+JirI0MYlsQHXrkYmct8EGW8pB3SUaih/lKtypFBaKkvLzjLhf7mLl5a0IJUC4CUWKYhnHosehX6xTnZzJMFhTwMylbUXuKXcsVTZd8zxZOMWf2mRtrFrkWPX1PZZwbTxdQtnUpvpVc99FvUxCr5D62Huh77Is6rMIvPFBCaZsGy/mJXON/qQvpyQCg4xAp+ReHWMfE6OZ+dyaw+jFSNYuj3urDbXGpmQUxhqjTjthSTfHGI/WoaYwoJmnrEPKJEywvmmex966JVzHmmHdt76JBjB/UzjwBXMA458UuHWru/dZv3ATIbbNDfmxBthMbE3kUY91Jspq463nW/fj0KxB7i9Z9sFDoOfknlXPjnaWr7rEpkyWschbH99bNJEuJJl1GhFHJFjCEQcD0WQQWSviPpZiGz5d1xSEMtJRIqzCdmT9qB93PVZzeTbSx5XXFATfBIH0sqArs422TbKOqCOGrIeARtbFfdvMY5JrFfvPDWrCRC4RTtezjiIY/ldf33uGyYuyIpuOsCDkSpx5HFJVL7fJUFmaFnJKlmdErnoKFIVCWJCJD1kzMSLRcQ5ATPj1DavckiwYLKaUJ67XurdFe/ietUVIDGXEtdqdt4ASZsGpSzPPve/spVBGE2/dsqNN6hZjhF+dZVBidRIyhHTCkGVeeEk9jzIrbvM0QdYefQAeRHtp93YnKw7e8H96iVuRe+OSkqpPUkr1e9YrCqwFDMkPd7V2p/xOh+hTzSwc4u9ZAZsnV1LujBnzAiODBdg4iw156kOpNBf54REzf8TG/umoX74zEegVAt2Qe+80HljIWb6FNpoDmt70etmC3IdCEN+ZX8yr1s2mIMvNPS0s44gyibSc1nBrnM8ZG5rCuOdzBJ/RIYShTgpNHmrrkb1gjBPW5bq433prbmvFF2yst54wwPFGM8Y1lRBrjrmHcpGSCEwHAj0n99NRial4ZxDnsQ7tmIr3TvaZecLmZBEc7fu7OaF2tJHK2icCg4tAt+S+VzWVrphlnsKNQA+j2PsmlEkYaT0EaBjrmnXqXwSS3P9f2yDF3I0sdEJfWAG55FMSgVFCIMn9KLV21nVUEZgucg9v66uwXTH87U6MH+R24d3jFZBmMyURmC4Ektz/H/IsCTbncM8LQxFniOinJAKjhECS+1Fq7azrqCIwneQe5sJ07YES+tkMhxzkNrExV4a/6QpNHGTssuy9RSDJ/f/hGRtQbRS1wUa8Xj3TSm9hz6clAv2JQJL7/myXLFUi0EsEppvcq4v9eQi+PXrNHPm9rOuseJYYfhl0JKWop3ueFe/OdyQCrRBIcp/9IhFIBGYgkOQ+O0MiMPwI9AO5H36Us4aJwPQhkOR++rDPNycCfYdAkvu+a5IsUCLQcwSS3Pcc0nxgItBXCCS576vmyMIkAtOLQJL76cU/354IzAoEktzPCpTzHYnA9CGQ5H76sM83JwJ9h0CS+75rkixQItBzBJLc9xzSfGAi0FcIDBy5l7LSqW9ONXVsdK/SVa6//vrlVEqHb7U6GGMiraasDsCRGcABIE7UcyhVL8SufId0OTnUybfTIU4cVDcnzjqhD4Ypg41Ak9w73MvhMg5Oc4K0w936RZxE6YA6RMXBaK1ySv/xj38sh205lM2mNweRyYg1TBk6+qU9shyDg0CS+8FpqyxpIjARBAaO3EtT6URWJ81JN9UrsuGUufvuu6+kw3zxi188ESyfds+///3v6pprrimn11577bVFcXCARy9EjmDpO526+upXv7oXjxz3GZQVp5XOMcccBSMnBjqx1Um8TvNbZ511xn3GKF7w0EMPFQI6CMeQN8m9U2lNEk4Ediqj0yX7RZzITLmUdcPp1ZRnh8/VxfdOnvWdA+m23Xbbcspur8Z4v2CR5UgEukEgyX03aOW1icDgITBw5B7ECP6CCy5YjqDuFbmfyqY74ogjitLQS3I/leVt9+y//e1v5bhuBGmRRRYpl11xxRXVWmutleR+jAbZa6+9yqEma6yxxnQ0W1fvbBWW89vf/raaf/75i4emn8i9ijkK3mExSPxSSy1VDshpdar0MsssUznKfvnll+8Kj7w4ERhGBJLcD2OrZp0Sgf8fgYEk98jGYostNjDkHiHmaRh0co/I77bbbtWVV15ZyB65/PLLq7XXXjvJfZtZhafjbW97W3X66acPLLlnvV944YX7ktyDnfdK3+RJovCfccYZ1Qtf+MKZWmTdddethLI5xyIlERh1BJLcj3oPyPoPOwJTQu7F6YrH9vOqV72qxJ37ERfr9DbxrmJhWd0cPy12XixsiDhacbJ///vfy7UvfelLq9lnn33G9+3I/ZNPPln9/ve/L3G4nveSl7ykmm222cp9Qko8T5l87t3/+Mc/qnnnnbeU64knnig/9XhcYTWe5zrlmHPOOTty56u/+7yP+/8LX/hCddBBB1W33XZb8Tgov+chIHPNNVe57pFHHimHZj3/+c8vGPnbe+HmveoGM9e7zz2+UxcHgHgny7rP4fnXv/61XF/HvN6Zfed+uJjovU99hTe4vykO+VphhRXKd0KYXvaylxXrfZB7J/qyTP/ud78rsc3K+YIXvGCmx/zzn/+sHnvssVIXdfAs7x5LPMs96qOMQoLgof187n4YwPmpp56qEFHYwlEZ1c/79CfXeJ66w1jf8xziO+3iPv3Nc+vtD0d9JY5L953+And19Xx9C37Ko6yPP/54tf/++5cwMoRz5ZVXLuV3Tb9KK8t9k9wLM4K1uviZbtlll12q7bffvjr88MOr8847r/xG+OuH0LUj97yA+pZ+ol+pTx5eN90tmu+fagSS3E81wvn8RGB6Eeg5uUcwWXaPPvroSlz4zTffXB177LElPhwhOumkkwopFKt91VVXVYiC78Xz2vSG0B522GHlPv/fc889ZdE95ZRTZsSWtyL3FmgbTMXNI46seG95y1sKsUa2fvazn1XHHXdcib0VIoOMXnjhhSUed7XVVqv222+/6oc//GH1q1/9asbGvE984hNl864Ntrfeemsho54xVtw88njUUUeV9yC36qOO6nP77bcXwifm96c//Wn17ne/u5AR333yk58soQVvf/vbixUSWRRGoPyf/vSnC2kW3rPzzjuX+73ja1/7WvXNb36zkGr3HHnkkeU6scieee655xYie/bZZ1cbbLDBDNIidAH+cKJU2BdANtxwwwoJEn5RF+T4gAMOKHjZxLjSSiuVtvEc5F6svfa96aabSpvamKxu3h9EibKDOJK77rqr/NgUrd3bCSyRYljCkRVc/9KH1OvQQw8tZfdc+CH76623XmnrN77xjdWNN95Y+oM28+M6fUfdbRC1uVm9tOc73vGOUhYhHeqAsDsaXTvASD/Yfffdy30IvdMIKWz6xtZbb13u0ZYUAJu83/CGN5TPDj744NKvYOb0wu22265affXVp3fUj/H2scj9VlttVS200EIlBv/BBx8sIS7GqtOcp1O02+abb14tueSSpf9ef/31ZYP3ZpttVki7Ptgk9z5XD+OGMqif6G/mEH03Cf50tmi+e6oRSHI/1Qjn8xOB6UWg5+QeCUNgub8tkGeddVZx6SODSCiCjyAhsazrCB7yc++99xbrKdJtIWblXnzxxQtBW2WVVUpYi42ppBW5R6KQsTvuuKNk9UBExTkjgh/4wAcKGTn11FMLCXStBdwmUCTQD3Lnne5n8aWgrLnmmoWwuVadWHTH2lSIHNhcetppp1Vnnnlmteiii5b7hAqoY4TlIMjCihAS14b4zOZYJJ8V+Lrrriuk3Dv32GOP8gzkEakS6oOkIteII+sq6yVi86lPfaqUHdasmkR9WPgpL/CESZBtOMELifZdO6EAuU45wrrv/e4Xh+9H+SlrrKcUmDiK20bHHXfcsSgnRJ1YtBFhhLyVnH/++YU8BpbacIkllqg22WSTQswoDPqWvsFCbsHijYCP8lEu4Qgn/cx9cLvsssuKgonAKzPr/Te+8Y2iOGh/mInjZmFXF+SPcglfSquyw1vdkHskX0y3fklBQuCV232xJwFm002CO5lq2pF7eMGewovgU6r0SVhrJ56Q6ZIg9zwjFMxVV121KGAUTvtBSJPcU4z33HPP0kfMVeYtdRO6c/XVV5f5KSURGFYEktwPa8tmvRKB/4dAz8l9ABshF6yeIVzlSBTCExsybYhFpFhdkWfk8X3ve1/JgMFFjkQhnFtuuWWx1LYj97J5sHKz7gqhQNIoB8gYSzfxbtY8RMvijYxTQPxsscUWRbEQfoLcI7os+nffffeMsrpO2eqEvN6REMtll122EFipL8P6x/KOOAS5Z8lH/JWl/iwEUZ1ZxIUTIbPCmljnKQisjcRzEVYW+iD3Pvc/izJ8WaCFTsAc+VIvngTKlixDF198cSE8BNFhlUVgkd12ok4UIu9sxtx7LwWJeDbCT5nStnAPr0o8m2eF5RwR1glbibrDkjJI1D9CpLTxww8/XAinZwe5FypD2aEoIm7koosuKuWhTHhftDvij4zrdzCggBIKEAXRsyKsK3CX7pMnRJiY8iP3FEDXURIoY1Iy6tee591w0SaDuqE2wnJ22GGH6sQTT5zRVBQ4uE83Ga6Te4WTupN3hBLy/e9/v4yhJrkXfvWud72rtGUI6739EZQ2/Tmt922ngvxiwBFIcj/gDZjFTwTGQWBKyT3LJQIWggggQqzIFl4SZFPsK0tqCKus9JEIO2L0/7V39652VF0YwG8Q/CptFK3sxEIQi0Qbe8ugViYqYvRP8KNV1FIUtA2oYFQEESyslIBIkOBHExCxUrSziAEt8vIbWPedjOfce3Lv7DNz7nkWhCTnnNl7z7Pn41lrP2ttkddl5L6W3h1rBcDLXVUPBJJUpU/uRctJLLzE+zYk9/Wd8V+4cKGL4JJZ7EXuSYhEkkWjkcayYULt9ZJ7ZB9p7Nsyco9Mwgv5Ru5F2zkHRe4R/ZMnT3YORLWJjBdphcMy24vc90thFrnnLMDLiopINueiHBTXhv8jvOZ4qM8nuyGnshIi4r/IzA1JDQemyD2CLYK7iNxLaj116tRuU8i7eRJ1dh0WubdyIsqPwNd4HSSST/oh50BuBnKPOJIfGb++tcc5tNpw1Mj9sFoOx9dqk2uREzYVGR6Se3NVDrXrWsCgT+6tKHHCrTy4r8tcDxxftqc3RQAAGi9JREFUxF7kf798kLxdgsCmIhByv6kzl3EHgdUQmB25F00VHSQvkcBJuyyavF/knnNAh45gI2b0zY4fRu5XJfeSP2neSWNEgkkykL29yH05KsihSPEcyb2VDQRUxBnBR7LJExByztCQZPcvo4OSe1IoUXxypFWtIvskRhW5Hx7bitwjdxyfPrFfNO5tJ/ccaU661ScrNHMh9+XsK0HqHnYNyQPh6JPgIPvm12oVJ6xMIr5qUFZ4Qu5XvVPzu01EIOR+E2ctYw4CqyMwK3JPHoHYewmLvtNvIxA0tF7Ee8lykGkJq+Q4tPwkMKKsByX3HAVSGom0JSHaT5bjt2pti9SLJBfZqch95REg2GQfEjERiTLRRA4E56Avyxkzcq8v46D/lmvAiUHoJRbvt8HWQcm9th1r1YAUoow8hvNEBtGvluT7quKjzKbjyCjKSC04bqRc99xzT6e5F733wqKbd25wHMpyVo3cO44kyxzWNVd9m2NRe6tM207uJW1zvv3tup/KRO45/8OcBoEC9xgybxXIbs7kcJLOSac8HziRZSpNWdnxN2d3KmdlKhzT7/YgEHK/PXOdM91OBJqRe1IHD5C+LEdCbMlylIRkNK+Iu8RTBE6U3ktYNRW6akSUzEKSI119lbMkfyEvUU2F1p0jIBqN4LMq0UjyQTIgQo0k0rnTCB8/fvyaGUcOSEsuXbrUJa1qn8yC/poOvkpSlka8LwWqhvxGlF++gD/kGay0yf0EU+RT1BMxYhIU6eolniL3yK4ETefU17NXX5wgciMSnCI1JDiO7ctyVAYiy3FeEmqRefIKVWJISkQolXesEo973Qb6gyty7VyRXCsspDWSVCt5Ue4COYSILrLEQSPfUJ2Ho2M+REnJOUo6tKhf45QQ/c477+wm4pJ0SbKWX4DIc+pIkCoCa2yPPfZYR9w4iMy8Gg8dPLJXVpp78+1410g5FnJGXGukG6478+F4Ei3RYGauzA9ZjmvX9cJ5gYvfaq8Su43LtVHSrbk+bpYl1LpWRbXr3I1fZNz94fpyr8LT6pWVs0XlVFudszlyD7i3h+b5wxF0P/bzZ6zEcfbkWkiYZ1b/PGtco31ZXatxp90gMBUCIfdTIZ9+g8B6EBid3CNryDMyRXPs34gdgueFKvKpLKEXsTKDiBMNM428pX06baThxIkT3YtWBB5hRxyQPWSVQ4BoWGJHKkXhJMhyCiTSIRYSSr2kRepUx1HVQ+KlCho04AiBaF7VMkfUaG4/+OCDjqCJ2tPtIolWDpDiiiBzQESLEZqhIb/OAzF84403OlJI10vz7ny0W86K89Y2MshRUerS70Qi/TE5SDjckC5kXLQbqfV7OQDG6LyQLNFm4+TwINo+850xcRBggxj7DgETfUbu4UijDgNztSxiWTvt0uU7L6Sb5MYqhyg38s8Rgq9zR7zNp36cq+i9sZeZM+ewCEe/cc2opAMT564dLyVkEqE3dyrVkF3QSusbCVUGUdUUOn/HWwnSP8JGw4/Mcy707TjEnNOpdGrp7i9evNgRxv54XUsSrTmuSL7xW/2Agyg+R828wE97HEhyEJ9ZieFAui/mXIllEbnneLtOJce7Blxnzo9DxJl0/zHO3NNPP92tlrmHW0e+PWs4S54l7nkOr+tiuArEsbU6ZE7NIVPeFemX22G85o8T7hngWll2Ta7nsZxegkBbBELu2+Kb1oPA1AiMTu4RcS9JJEl0GxlVdhGp8rL3uWRZpF7E08tZoiKiL6KLOIi2I0/KOSLKpCsIHtKoggyCUZsuqYGPaIuEI86ipwgbAo14InyivLTyxiN6rS/k1oqBJXrSCyTOA89vEFUk13noV2Tab5FG5Fhy716b94jQcxKcJyKszSKqJfFBIpARKxN+I+HPeZHGIKQIs6i4fvzWSgISq1oMZ0VSLgKCeMEX0SpCgoQh186D1MnnzlmddonE+hN5rw2iEF1mrwAXBAK6yPQFEw4Bx0mfEnjNAfzIezgOiB9nwVgR5Kqbz7ETLRUhRXCXJcr2+ya9Eb0XdbXaw9ERLS9zXq4tOJojMh6OIqeMzIkzZyXB9WE8quuQ8KgAw9lACs0Pkue667dt5QTRM3fmjfNi9cH8chhctwimeS7Hh+NQ7RkH4uv65eQivq7LOdsicm+8zpNTZRWE42pvA6tYfZNTAQeON9lZayNvcw1xjl3LVkrcm0Xg+/2r2CRg0J9fjrBrmJNn5YqTUBWfWo897QeBKREIuZ8S/fQdBNojMDq5bz/k9HAYBERakVGJxRwkJB9Z928E2eoEMh3bTgSWkfvtRCNnHQSOJgKbQu4XyV+P5ozkrILAuAiE3I+L56xbE3kXzSaZIEsaGp24yDTtf2w7EQi53855z1lvFwKbQu7NihV+cjsrb5tuVoytIlITxIJASwRC7luiO7O2yW7IWjwsyWVozEVGSGjkLpBZ2Kgotr0IhNxv79znzLcHgesh9wgpSaL9WxhpISnkIumd/C6SvX4Z4X6VNPI5+V9ypUhelawmnyWpHO4rIS+GBJU8t3ZO166kfTtJK7pBdkpyS4La33BQPySjctb8jtSUlLRksctmmszTMaSUpIiqsTlXxRD6Jp/LGMiMJeUPv/db8kVlpgXTyETLJPcLrgmmGX8sCLRAIOS+Baozb5MG3YOPnl0OgmRC0XoVh7IMOvPJazy8kPvGAKf5IDADBFYl9/JaVBiTx2IHdXlTZJvyqySo98myHBYkW06V7xFsxQfsUyLnicklQ87lpCHOtYO3XC7V3vrmM8nxtQml7yS/y4OS/+N4DoA8GSRbPlCZohsq7Glffpf8J3l+qtLJX1tk8vWQcUEwBQTk9ykI4XwcpygHc/7yiuTCIfbyfDgQcrD65lhFHxblltmgUw4hgr/OymIzuPQyhDUhEHK/JqDTTRDYBARC7jdhljLGIHA4BFYl94i0Ig9FbPVa+5bI20JuyxBW1cGWSU44ClaMFSNQrrhMQQhEWM4Xws5UO+NUSHavktKIvApsClyomldWm0cqMqGAgeIIqqtZhTZW5ljRcxF8TsOi0s+KZXBYrG6X2WPGOLSLwDN4aF+QTJ/GXNX+6ji/VVxAJbWqwNafMUE0DoIKcJ65VYb5cLOao4PA/xEIuc/VEASCwC4CIfe5GILA0UdgVXJPmoKcDsva+j95jv07mCi9XZ9FuJFq5HsYkVZGWDU8G00WiXesvUtIb0hwSGKY722Q13ceyFw4BYiz6mllIumi/iLvzOqA/4vu16aJikaojiaSzwlZFC33G6R7SMZF+lVOU23Nave9997bldHVvqg+eRKZUT+PzfhhsZfshnPAWeH0qPgVCwJjIhByPyaaaSsIbDgCIfcbPoEZfhBYAYFVyf2yppB7BFoUnCHc5J0KMoicI8rKMSu/TKLDbCpor5Wvv/76mt2kEXWlp8tZED2354povvLBffOZSL+Szsg1wi0ab28XxzDtIPAkRNot54NG3php3u2HsqqRq4rW27Wa2UPHjtwqz9kkzz4xymmTATE5AIg+GdNepmw4yZDNHO2BEgsCYyIQcj8mmmkrCGw4AiH3Gz6BGX4QWAGBw5B7kXdRdTIWpLdvZCpIPMJaunL7z5Cd+D9Sjvj2d7pGcrVjjxSFHWjj6dFF+oeJqiLrovu09yLsnAWkHeEuE2k3Dk4D+UyRexF9Kwr2j1FMYhWzZ4y9Uawg6ItpQ8Kt6nOSjCUDcyT0S8ZEi2/zSBtvcgAqL0D+Qd+sBtjfRiUgScaxIDAmAiH3Y6KZtoLAhiMQcr/hE5jhB4EVEDgMuSehsdu3qPwyE9GmKUdubQKoKo5EVRsoksb4nCRF0iqybndru7LTrnMAvvvuu241oE/aqy+Ju0ix7+3TQhJjY8IqBiFaT+qyjNx//vnnSzdqHJ4Px0RSrOo4Zci6xFvOjX+T+1hhMGYJsuRFVjBOnTrVVaKzySOnhfyov/klJ+DRRx/tPidrigWBMREIuR8TzRHbEs144YUXOo/eA8KD4s033/xPubARu0xTQaBL7pI8Z6ffWBAIAkcTgYOSe1Vovvnmm2si78sQQn7tq0JbLgmWKTWpog7iIVFWlJ6kRiIu0u+5Q8P+66+/duRcVLtvJD9KbdaeLHaatyKgnCaSz1T2sVv2MnJ/6dKlXbnOXrPrHUx2JAFY4mvf5CLIAYCjEpwcCyUvSYbIk+xibpxWHyTy0tSfPHmyc17KHM/Z8Y7vlw49mldczmrdCITcrxvxFfq7cOFCt0T5ww8/dMuKtIUeAh56qggks34FEPOTAyEQcn8g2HJQENgoBA5C7n/++eedd999t4u0CzjtZ5JPkXW/r8TW4TG///57R4Zvu+22ru49E3lXW39I7hHgJ554ouub7Ic5XpKuY0XyEXvJrt6hPrv77ru734mMywF46aWXupWERSsC/bGR1IjWKxG9n3beceQ4ViZE8ZmIv0o7nBZlQJXWFOX3/5D7/a6cfD8GAiH3Y6A4chui9B5sIhJlzz33XJdg9PHHH3dLorEg0AKBkPsWqKbNIDAvBK6X3CPbNnNSCWfVZFR6dRsjcghK+95HAeH2vXfa+fPnOx0/Uy7z22+/7UpjIutldPSIvGj/448/vvs5CY6kV0EwZFx/klu1K7LPJPhKWnUeVhJIZZaZ1QFlLAXYavOsvWaPxEjd/n5lHw4NPX6Re+1wGJznLbfc0jV3+fLlrvoPWc4///wzrwsko9l4BGZJ7te9kdI6+lvWx6LP33777S7pyNKkhxZD7D1YLUequxsLAi0QCLlvgWraDALzQuB6yD1CrMqMhNQ+SaeXFzmXnCoazipS7t9Ir3KQr7zyysK68urhe6+pBd+vFvPqq692Mhu73VYSq/bo60ldSH36Cbm+U72HBAaJppEX/ecknD17thsXnT4ZEOkO+QxDtiXXqq5T5S/14Xt/qvpOzdxHH310TX1+n6u8I/lXgu1NN920O8ne02S1AnQwU1HHynvt8uuH8hJU+vF9//N5XSkZzaYi0ITcu+BtHkFT5oHAe7ZMZtMLme21Wx2NXZWnsuRnKcvSmSg1c4P4jGfOE3/rrbeukaTUVtHvvfded0O7uUQDJKpo+8SJE93Dg6fuQeF4Dw41aHn1/ex1N5dEGGW4RAvo2yXtMLVsaQ0tvWnHsTxzN78oQZXb8lveuAePfhD3Rx55pPs/zZ2HDR2iXfc8REQm1Mx1zkpp2VjDGCQWqdkLp9qSWzTfw9LDtEqLbepFl3HPF4GQ+/nOTUYWBMZCYFVyT7uO/HpXkrJU4qe/f/rpp51PP/20I6409XTmElvtGCuK7v2mBn2/1rsINcL7/PPPd/p7710JtH3jKFgdwA1K5lLfi46rTqNdwS4EnWOAuCPYZYi+ZFV6disC/u09blMsO8kaP46iqo13O9mrtvzNmVG9p3Tw3ss4hN+J5pdxGCQNI/H9FQbfk+jQ2nNsfHf8+PGujX4uk9V5nOC11177T8nPseY57WwvAqOTezcGPZxEFOT49ttv78g2cu9BwVMtj16E+ty5c93N+sADD3Qk2I3uJpKY4mZ087sJEGklqdTIrd3l3NAePB9++OFumS03kWUu2eoIunFIeBEB8JDh4dPSuclkzTNk3fJYlciSCc8RMGZ9elBZPrz55ps7J4PmXZv0e2527RiTh8NTTz3VbcmNsPPMPSQQ+C+//LKLxMNExMN3xlORe84APb3owNBoB+EDFxuFxIJAKwRC7lshm3aDwHwQWIXce5+dOXOmi4h7bw6TPtVo/+STT7qTkqQqAOVdJbKO5Iuy9w3ZF+zy3rb67F26aKdYx9Dhi3TjB0NTlUb7nIS77rqri/KfPn16911av/f+9t7+888/u8o+tUFW3wHgZOAY+vLOxg2824fVawTa+htnaeOLL77oOA2uMtzkqzCRIyA4iWhxevqGE+AdsMOTYkFgTARGJ/cGR7PGy1f31Q3gwhVZ56W6MZFv9Wt5t24aN5XasTxhN7ubDckQGShzA9PaidJ7MHAEePXakqzCXnzxxS6z3cNIUg2TmY/gV7KNzyT3SHaph5X2aObq/6oBGB/no1YRHCNq74b0UGMeDHbo87msflF82fD0gqLr2hNp0LexidhzbGjm1QKucWtL9ENbi25yDoPxeFCtQ0I05gWWtjYLgZD7zZqvjDYIHASBVcj9Qdod6xiOAF29jaNKmjpW21O10393+zcHRXIwdUKt0E81tvR79BBoQu5JR0hVJLcoc1UmuQQxRuZd2CLzvPh+4ovfigAg7eQzPGiRckt1It+W4BBxmnTLcIg1p4GJsFt+E91H7jkUSDWCLaLAI2d+I+JQZN6DxBIhAs35sJTGwdD+M8880x1juU6tWkS9tq6mQ/Q7hJ8zc//993dR+vfff3/plSJjXp1glQSU2mKWDj3EaA+HRsbDWajd747eJZgzmhMCIfdzmo2MJQi0QWDu5N5Z26jKqr/A3qLIeBtk1tMqhQNJD+nxXsm96xlNejmKCDQl9yLUIu1lpCi05y+//HKXhIJQI/eW3ixPldncwu9o7iqLvG5u0W8kndZP3VgSoCK+svktq4mA8/aL3HMGkPvS+g/JvX4tuYngW1KUFGQlga6vyL18AY6E3fmMmXFQrAAUuTdGm1nQ+e9lHAJ5CFYUaP5IiST+cGaGxiGyClCVBI7iRZhzmg8CIffzmYuMJAi0QmATyL33t5V478f+KncrTNbVrqo/5E7kxOTDsSDQAoFJyL3d6J588skdpbIWkXtEX7SaVm1oknQroZTnK5ruJvGwokcXTaeZZ6uSexIf2fGV4GrVgF6Qs3A95J5DIoIvEt/f9OLKlSudXr8ffZBsQ3tvtcEqgsTjfra98SvfZSVBNr22Y0GgNQIh960RTvtBYHoENoHcF0rekXa4FXjbdBOxJ8kVBIwFgZYINCX3MuhF2MuQZkklNO0kLKQpJC5DWY6INq28qLYofy1b0dKT5tSNIfmUbMWKACIvMbcq3BS5p2ezeiByX15yP3Jfcpz77ruvS1hlKu1wFDghJEJMVJ90RvJLVdkR3ReFd14095J2aO4r+95xpD+y4eUHVH1bn5MOSQaWyGPZ0dgXGYmTFYd4+C1vg7RdCITc51oIAkcfgU0h98kxO/rXYs6wDQLNyL0EUVr5KklJ9kJuQ0pD0+7hogYubbyotZq3dSNLrEW2HWN3OF67JF1GwoNcI9SSXJ2AyDZyT04jqt8vvVXJq1YJKuJvHCrc0PxLaFGJhqZfBF+0/Kuvvup08wi+hFoOA8mMNn788cduPIz+X2ktToeqOL/88kvXFiPjMS4Z+yr1KG853FlW5QDOAk9+UdLQ999/31UXsnog079q8ba5FNJqENjpEtkfeuiha0q2BZcgEASOFgKbQu6PFuo5myCwPgSakXsRaYQXaRW9F6EXoaY1Y0pXSSYpk8yKVJdJPKVpp6mXVOv3EnFL7y4SL3m1HAIPK+QZySf5oXsfJuFwIkTjEXRGKiNpByGX5Kr0l5KU+uJc3HnnnV3/iHkd4zifORcrD2Wi+pwAZN05iszbUltuAQdBrsDQHCPhuL+zXf83v/32W+dIiPyTGyWjfn03xrb2FHK/rTOf894mBELut2m2c67biEAzcq9ajsh6n8AXwGMstSG+VgA4AKQrqthwAv79999uFzpyGYk4czakXx3cqvYz57FmbNuBQMj9dsxzznK7EQi53+75z9kffQSakHvyFRs5DUthjgWnCLstr1WYWUTg6fTVhFdnf27GKbEiYMMsdfLlDMSCwFwQCLmfy0xkHEGgHQIh9+2wTctBYA4INCH3pCl2lFXTXvnIse3ixYtd+/7Qo5MAkeOoSnP+/Pluu2dbUw817mOP43rbU6KTZMf4bNVNa0+6FAsCc0Eg5H4uM5FxBIF2CITct8M2LQeBOSAwOrlXltKGT2XqsytlJdl1TFO2UoReYu3ly5e7ZFm145F9+v05bnpBtw8P5TKtOtQuumPikraCwGEQCLk/DHo5NghsBgIh95sxTxllEDgoAqOT+4MOJMcFgSAwPQIh99PPQUYQBFojEHLfGuG0HwSmRSDkflr803sQmBUCIfezmo4MJgg0QSDkvgmsaTQIzAaBkPvZTEUGEgSmRyDkfvo5yAiCQGsEQu5bI5z2g8C0CITcT4t/eg8Cs0Ig5H5W05HBBIEmCITcN4E1jQaB2SAQcj+bqchAgsD0CITcTz8HGUEQaI1AyH1rhNN+EJgWgZD7afFP70FgVgiE3M9qOjKYINAEgZD7JrCm0SAwGwRC7mczFRlIEJgegZD76ecgIwgCrREIuW+NcNoPAtMiEHI/Lf7pPQjMCoGQ+1lNRwYTBJogEHLfBNY0GgRmg0DI/WymIgMJAtMjEHI//RxkBEGgNQIh960RTvtBYFoEQu6nxT+9B4FZIRByP6vpyGCCQBMEQu6bwJpGg8BsEAi5n81UZCBBYHoEQu6nn4OMIAi0RiDkvjXCaT8ITItAyP20+Kf3IDArBELuZzUdGUwQaIJAyH0TWNNoEJgNAiH3s5mKDCQITI9AyP30c5ARBIHWCITct0Y47QeBaREIuZ8W//QeBGaFQMj9rKYjgwkCTRAIuW8CaxoNArNB4LrJ/ZkzZ3Y+++yz2ZxABhIEgsB4CLz++us7Dz/88M6DDz44XqNpKQgEgVkhEHI/q+nIYILA6AicO3du56+//tp59tln/9P2satXr17tf/rHH3/s3HHHHTu33nrrzuCr0QeWBoNAEFg/AleuXNm54YYbdm688cb1d54eg0AQaI7AsWPHdv7++++8x5sjnQ6CwHQIeJefPXt25/Tp0/uT++mGmZ6DQBAIAkEgCASBIBAEgkAQOAwC/4ncH6axHBsEgkAQCAJBIAgEgSAQBILAdAiE3E+HfXoOAkEgCASBIBAEgkAQCAKjIhByPyqcaSwIBIEgEASCQBAIAkEgCEyHwP8AeTIpL0t0OtoAAAAASUVORK5CYII=\" width=\"641\" height=\"610\"\u003e\u003c/strong\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTable 4.4 below shows a cross tabulation of women that received IPTp and the knowledge levels on malaria. Majority of the women that received IPTp more than 3 times also had high knowledge compared to the women received less than 3 doses. This was statistically significant (p=0.02).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.5 Cross tabulation of IPTp uptake and knowledge about malaria\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"638\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKnowledge Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIPTp \u0026lt;3 doses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eIPTp \u0026ge;3 doses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e76(53.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e122(67.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e198(61.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e67(46.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e58(32.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e125(38.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e143(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e180(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e323(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 4.6 below shows a cross tabulation of women that received IPTp and having malaria. Majority of the women that received more than 3 doses of IPTp did not have malaria (86.1%). This findinding is statistically significant (p=0.04)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.6 Cross tabulation of IPTp uptake and having malaria in pregnancy\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eCross tabulation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIPTp \u0026ge;3 doses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eIPTp \u0026lt;3 doses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ep-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003eHad malalria in current pregnancy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eYes\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e25(39.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e39(27.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e64(19.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e155(86.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e104(72.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e259(80.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e180(100%)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e143(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e323(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 4.7 below shows a cross tabulation of women that sleep under a mosquito net and having malaria. Majority of women that sleep under a mosquito net did not have malaria (80.5%). However, these findings were not statistically significant (p=0.07).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.7 Cross tabulation of sleep under mosquito net and having malaria\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eCross tabulation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eSleep under mosquito net\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003ep-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003eHad malalria in current pregnancy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e37(19.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e27(20.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e64(19.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e153(80.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e106(79.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e259(80.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e190(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e133(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e323(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e4.5.1 AMONG HEALTH CARE WORKERS/FACILITIES\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQualitative analysis\u003c/p\u003e\n\u003cp\u003eParticipants described their efforts to implement national guidelines for malaria prevention in pregnancy, particularly through the administration of Fansidar (IPTp). Health workers reported starting IPTp at 13 weeks of gestation, but noted that late ANC attendance or missed visits often hindering full dose completion. Additionally, some women declined to take Fansidar when not sick. To address these challenges, facilities engaged community health volunteers to support health education and outreach.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme: Prevention practices among health care workers\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;We follow the guidelines by giving Fansidar at each ANC visit starting from 13 weeks, but if the woman comes late or misses visits, it becomes difficult to complete all doses.\u0026rdquo;\u003c/em\u003e- Nurse, Mulanga Rural Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Sometimes women refuse to take Fansidar when they are not feeling sick. We have to keep reminding them that it\u0026apos;s for prevention, not treatment.\u0026rdquo;-\u0026nbsp;\u003c/em\u003eMidwife, Ilondola Health Centre\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;We also involve community health volunteers to educate women during outreach sessions\u0026rdquo;-\u003c/em\u003eMalaria Focal Point Person, Shiwang\u0026rsquo;andu District Health Office\u003c/p\u003e\n\u003ch2 id=\"_Toc205292385\"\u003e4.6 TRIANGULATION OF FINDINGS\u003c/h2\u003e\n\u003cp\u003eThe integration of quantitative and qualitative findings revealed consistency and complementing results across the study objectives. Quantitative data showed fluctuating trends in malaria prevalence among pregnant women between 2017 and 2024. These fluctuations were explained by health workers during interviews, who cited factors such as Fansidar stock-outs, and gaps in service delivery.\u003c/p\u003e\n\u003cp\u003eRegarding knowledge among pregnant women, survey results revealed high awareness of mosquito transmission, but limited understanding of complications and IPTp timing. This was supported by focus group discussions, where the pregnant women expressed misconceptions such as believing malaria could be caused by rain or fearing that Fansidar could harm the baby.\u003c/p\u003e\n\u003cp\u003eHealth care workers demonstrated good technical knowledge of IPTp administration and malaria risks. However, they also reported challenges such as lack of water for DOT, stock-outs, and patient refusals, which affected practice.\u003c/p\u003e\n\u003cp\u003ePrevention practices were generally aligned between both data qualitative and quantitative data. Quantitative results showed that over 50% of the women received at least three IPTp doses, and that uptake was associated with ANC attendance and ITN use. Qualitative findings supported this, but also highlighted barriers like late ANC attendance and irregular ITN supply.\u003c/p\u003e"},{"header":"CHAPTER FIVE: DISCUSSION","content":"\u003ch2\u003e5.1 INTRODUCTION\u003c/h2\u003e\n\u003cp\u003eThis chapter discusses the key findings of the study in relation to the research objectives and existing literature. The aim of the study was to assess the prevalence of malaria in pregnancy and to explore the knowledge, perceptions, and prevention practices among pregnant women and health care workers in Shiwang\u0026rsquo;andu District. The discussion integrates both quantitative and qualitative findings, highlighting areas of similarities and differences, and interpreting their significance within the broader context of malaria control efforts.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292388\"\u003e5.2 PREVALENCE OF MALARIA IN PREGNANCY\u003c/h2\u003e\n\u003cp\u003eThe analysis of facility data in Shiwang\u0026rsquo;andu District revealed fluctuating malaria prevalence among pregnant women from 2017 to 2024, with peaks at 14% in 2017 and 2020 and a drop of 9% in 2022 followed by an upward trend back to 14% by 2024. Similar patterns were observed at individual health facilities with Kalalantekwe RHC showing the highest prevalence at 17% in 2017, while Ilondola and Lwanya RHCs dropped to 8% in 2022 before rising again.\u003c/p\u003e\n\u003cp\u003eThese district-level fluctuating trends are similar to regional patterns documented in Sub‑Saharan African settings. For example, a pooled analysis of malaria indicator surveys (2011\u0026ndash;2022) revealed an average prevalence of 28% with substantial regional variations and intermittent declines attributed to intensified malaria control interventions (Mungusho et al., 2023). (Zageye et al., 2025). Our findings however show a lower prevalence of malaria in pregnancy compared to another study conducted locally in Nchelenge district which showed a prevalence of 30% (Chaponda et al., 2015). Nevertheless, other regional studies show similar results with our study such as Uganda where surveillance data from 2015 to 2023 demonstrated year‑on‑year fluctuations in malaria prevalence among pregnant women, ranging from 8.9% to over 20% and in Ghana where test the prevalence fell to as low as 5.6% in Greater Accra by 2020 depending on transmission intensity and seasonality (Osarfo et al., 2022; Uanda National Institute of Public Health, 2024).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe observed findings in Shiwang\u0026rsquo;andu District during 2022-2024 may partly reflect challenges in malaria control such as resource constraints and post‑COVID recovery setbacks. WHO reports document a rising burden of malaria in recent years, especially in Africa, where disrupted services, funding shortfalls, and vector resistance contributed to stalled progress as of 2022 (World Malaria Report, 2022).\u003c/p\u003e\n\u003ch2 id=\"_Toc205292389\"\u003e5.3 KNOWLEDGE OF MALARIA IN PREGNANCY\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003e5.3.1 Among Pregnant Women\u003c/p\u003e\n\u003cp\u003eThe findings show that 61.3% of the pregnant women had high knowledge on malaria in pregnancy. All the women knew that malaria is caused by a mosquito bite and majority (38.7%) also knew that malaria can affect pregnant women more than others despite others not knowing and some not being sure. \u0026nbsp;However, knowledge gaps remain. Women expressed misconceptions such as believing malaria could be caused by rain or fearing that Fansidar could harm the baby. Further, there was limited understanding among the pregnant women of the complications of malaria. Nevertheless, some women correctly knew of some complications which included miscarriage (40%), maternal death (37%), anemia (20%), preterm labour (16%), and low birth weight (15%). Further, the pregnant women knew of malaria preventive measures which included sleeping under a mosquito net (60%), indoor residual spraying (IRS) (55%), taking Fansider (43%), avoiding stagnant water (34%), and early ANC visits (20%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThese findings resonate with studies across sub‑Saharan Africa. Research from Nigeria found high general awareness of IPTp and ITNs, yet actual use remained low due to misconceptions and limited autonomy in health decisions (Ameh et al., 2016). Similarly, in Ghana, pregnant women exhibited strong awareness of IPTp‑SP, but with knowledge gaps as only about one‐third could identify correct dosage or timing (Pell et al., 2013).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn contrast to our findings, a study in South‑West Nigeria revealed poor overall knowledge, with only half of respondents having heard about IPTp and few recognizing SP as the recommended drug (Akinleye et al., 2009). This led to minimal uptake and poor practice despite awareness of malaria risks.\u003c/p\u003e\n\u003cp\u003e5.3.2 Among Healthcare Workers\u003c/p\u003e\n\u003cp\u003eHealth care workers demonstrated good technical knowledge of IPTp administration and malaria risks. However, they also reported challenges such as lack of water for DOT, stock-outs, and patient refusals, which affected practice. Similarly, studies in sub-Saharan Africa highlight stock-outs and shortages of SP as key barriers to IPTp delivery, with up to 9% of pregnant women missing doses due to procurement challenges and in another study in Uganda were there was lack of portable water and cups (Rassi et al., 2016). Additionally, DOT is often not practiced due to lack of clean water or cups especially in rural health facilities in Tanzania (Thiam et al., 2013). Further, in Nigeria (Bello \u0026amp; Oni et al., 2020) health workers were aware of the current WHO use of IPTp but had gaps in knowledge in the correct dosages.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThese findings and studies above show that health care workers generally possess technical knowledge of malaria risks and IPTp protocols, yet systemic barriers such as drug stock-outs, poor infrastructure for DOT, and inconsistent training emerge repeatedly. Adherence and prescribing practices suffer when protocols are unclear or support supervision is lacking. This study findings re-echo these broader patterns where providers know what to do but often can\u0026apos;t due to resource constraints.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292390\"\u003e5.4 PREVENTION PRACTICES OF MALARIA IN PREGNANCY\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eThe findings of this study revealed that just over half of the respondents (approximately 55%) received at least three doses of IPTp, with stock-outs of Fansidar identified as the major reason for missed doses. Uptake of IPTp was associated with antenatal care (ANC) attendance and use of insecticide-treated nets (ITNs). While 57.3% of women reported receiving Fansidar under DOT, a substantial proportion (27.9%) denied receiving the drug under observation. Additionally, ITN distribution was inconsistent with only 31.6% reported receiving a mosquito net from the health facility in spite majority (58.8%) reported sleeping under a mosquito net. Indoor residual spraying (IRS) coverage was also low, with only 28.9% of respondents reporting their homes had been sprayed.\u003c/p\u003e\n\u003cp\u003eThese findings are consistent with studies conducted in Tanzania, Kenya, and Ghana, where IPTp uptake remains sub optimal despite reasonable ANC attendance. In Tanzania, Sanga et al. (2014) found that although ANC coverage was high, less than half of the women received IPTp doses, mainly due to stock-outs and inconsistent implementation of DOT. Similarly, a study in Kenya highlighted that health system challenges such as Fansidar shortages, lack of clean water for DOT, and delayed ANC initiation limited IPTp coverage even in facilities with high ANC attendance (Chukwu et al., 2021).\u003c/p\u003e\n\u003cp\u003eIn Ghana, a mixed-methods study by Owusu-Boateng et al. (2022) reported that while health workers understood IPTp protocols, delivery was hindered by irregular supply of Fansidar and inconsistent monitoring of DOT. The study also revealed that despite net distribution efforts, many women did not receive ITNs due to logistical barriers and delays at the district level. These findings closely align the findings in Shiwang\u0026rsquo;andu, where only a minority of respondents received nets from health facilities.\u003c/p\u003e\n\u003cp\u003eContrary findings have been reported in some parts of Ghana, where IPTp uptake of three or more doses exceeded 80% (Ampofo et al., 2021) compared to our findings where uptake was (55%). The high performance in such areas was attributed to early ANC attendance, better supply chain management, and greater exposure to malaria education campaigns \u0026nbsp;(Ampofo et al., 2021).\u003c/p\u003e\n\u003cp\u003eThe observed gap between ITN distribution (31.6%) and usage (58.8%) also reflects findings from other countries, where mosquito net ownership is low but behavioral adherence among those with access is relatively good. A multi-country analysis by Koenker et al. (2013) found that while ITN use is often promoted, supply limitations and misconceptions about discomfort or safety reduce actual ownership and consistent use.\u003c/p\u003e"},{"header":"CHAPTER SIX: CONCLUSION AND RECOMMENDATIONS","content":"\u003ch2\u003e6.1 CONCLUSION\u003c/h2\u003e\n\u003cp\u003eThis study assessed the prevalence, knowledge, and prevention practices related to malaria in pregnancy in Shiwang\u0026rsquo;andu District using both quantitative and qualitative approaches. The findings show that while general awareness of malaria transmission and its risks during pregnancy is high among pregnant women and health care providers, significant knowledge gaps and misconceptions exist, particularly regarding the complications of malaria and the safety of IPTp. Health care workers demonstrated good technical knowledge of IPTp, but systemic challenges such as drug stock-outs, limited resources for DOT, and inconsistent supply of ITNs and IRS interventions hindered service delivery. Prevention practices such as IPTp uptake and ITN use were moderately high, yet hindered by supply chain challenges and delayed ANC attendance. These findings align with trends observed across sub-Saharan Africa, highlighting the need for strengthened health system support, improved community education, and consistent implementation of malaria prevention strategies in pregnancy.\u003c/p\u003e\n\u003ch2 id=\"_Toc205292393\"\u003e6.2 RECOMMENDATIONS\u003c/h2\u003e\n\u003cp\u003eBased on the findings and discussion above, the following recommendations have been made:\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003eStudies on health system preparedness for DOT implementation: Given the reported challenges with DOT, more research is needed to assess health facility preparedness, such as availability of clean water, cups, and staff training to support effective implementation of DOT for IPTp.\u003c/li\u003e\n \u003cli\u003eLongitudinal studies on IPTp uptake and pregnancy outcomes: There is need for longitudinal or cohort studies that follow pregnant women throughout gestation to assess how IPTp uptake affects maternal and neonatal health outcomes prospectively, especially in rural or resource limited settings.\u003c/li\u003e\n \u003cli\u003eComparative studies across districts or regions: Comparative research involving different districts or provinces in Zambia could identify best practices and contextual barriers influencing knowledge and prevention practices, contributing to more targeted future investigations.\u003c/li\u003e\n \u003cli\u003eMixed-methods research on ANC service quality and malaria prevention: Given the association between ANC attendance and IPTp uptake, further mixed-methods research should examine the quality of ANC services and how they affect malaria prevention behaviors and adherence among pregnant women.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eOperational research on integration of malaria prevention into routine ANC services: There is a need for operational research to assess how malaria prevention services can be better integrated into routine antenatal care.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eANC: Ante-Natal Clinic\u003c/p\u003e\n\u003cp\u003eMIP: Malaria in pregnancy\u003c/p\u003e\n\u003cp\u003eIPTp: intermittent presumptive therapy in pregnancy\u003c/p\u003e\n\u003cp\u003eSP: sulphadoxime-pyrimethimine\u003c/p\u003e\n\u003cp\u003eIRS: Indoor Residual Spraying\u003c/p\u003e\n\u003cp\u003eITN: insecticide treated nets\u003c/p\u003e\n\u003cp\u003eNME: National malaria elimination\u003c/p\u003e\n\u003cp\u003eMoH: Ministry of Health\u003c/p\u003e\n\u003cp\u003eCBU: Copperbelt University\u003c/p\u003e\n\u003cp\u003eSoM: School of Medicine\u003c/p\u003e\n\u003cp\u003eUNZA: University of Zambia\u003c/p\u003e\n\u003cp\u003eWHO: World Health Organization\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eConsent to Participate:\u003c/strong\u003e\u003cbr\u003e\u0026nbsp;All participants involved in this study provided informed consent prior to their inclusion. A statement confirming this consent is available and has been obtained in accordance with ethical standards.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAutonomy:\u003c/strong\u003e The study ensured participant autonomy through informed consent. All participants received clear explanations of the study\u0026apos;s purpose, methods, risks, and benefits. Participation is this study remained voluntary, with guaranteed rights to withdraw without penalty. No incentives or coercion was used to influence participation, ensuring that decisions are made freely.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBeneficence:\u003c/strong\u003e There were no any immediate benefits to participants for accepting to participate in this study. However, many people may benefit in future if the study responds to the questions this research is asking.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNon-maleficence:\u003c/strong\u003e There was no anticipated harm for participating in this study. Confidentiality was strictly maintained to minimize discomfort with the participant\u0026rsquo;s information. There were no any personally identifiable information collected nor published,\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eJustice:\u0026nbsp;\u003c/strong\u003eThe study was fair in the selection of participants and ensured equal opportunity to participate regardless of gender, ethnicity, or academic performance while maintain the inclusion and exclusion criteria of the study.\u003c/p\u003e\n\u003cp id=\"_Toc205292376\"\u003e3.11 FUNDING DECLARATION:\u003cbr\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003egreetings, all the sections in this manusript have been written by the author, Sikazwe Edward\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003ei acknoledge my wife, Jane Mwanza, for the support she rendered throughout the entire study period\u003c/p\u003e\u003cp\u003eI dedicate this work to my wife, Jane Mwanza, for the encouragements and support she rendered to me during the period of study. To my children, I say keep the spirit of hard work. God richly bless you.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAkinleye, A. A., Olarenwaju, O. A., \u0026amp; Oluremi, A. O. (2009). Knowledge, attitude and practice of malaria prevention among pregnant women in South West Nigeria. \u003cem\u003eAfrican Journal of Medicine and Medical Sciences\u003c/em\u003e, 38(3), 219\u0026ndash;224.\u003c/li\u003e\n\u003cli\u003eAmpofo, E., Owusu-Boateng, G., \u0026amp; Ankomah, A. (2021). Factors influencing the uptake of intermittent preventive treatment of malaria in pregnancy in Ghana: A mixed-methods study. \u003cem\u003eBMC Pregnancy and Childbirth\u003c/em\u003e, 21, 820. \u003c/li\u003e\n\u003cli\u003eAzizi, S. C. (2018). 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A qualitative assessment of the health systems factors influencing the prevention of malaria in pregnancy using intermittent preventive treatment and insecticide-treated nets in Ghana. \u003cem\u003eMalaria Journal\u003c/em\u003e, 21, 233. \u003c/li\u003e\n\u003cli\u003eFreddie Masaninga, M., \u0026amp; Mufunda, J. (2016). Increased uptake of intermittent preventive treatment for malaria in pregnant women in Zambia (2006\u0026ndash;2012): Potential determinants and lessons learned. \u003cem\u003eAsian Pacific Journal of Tropical Biomedicine\u003c/em\u003e, 6(8), 620\u0026ndash;624. \u003c/li\u003e\n\u003cli\u003eHamer, D. H., Kachur, P. S., \u0026amp; McKenzie, F. E. (2020). Malaria and pregnancy: A review of strategies and challenges. \u003cem\u003eThe Lancet Infectious Diseases\u003c/em\u003e, 20(7), e170\u0026ndash;e178. \u003c/li\u003e\n\u003cli\u003eKibusi, S. F., Chizuni, N., \u0026amp; Chizuni, N. (2021). Community misconceptions and malaria prevention practices in Zambia: A systematic review. \u003cem\u003eBMC Public Health\u003c/em\u003e, 21, 345. \u003c/li\u003e\n\u003cli\u003eKoenker, H., Kanyangarara, M., \u0026amp; Penney, C. (2013). Ownership and use of insecticide-treated nets in sub-Saharan Africa: A review of recent evidence. \u003cem\u003eTropical Medicine \u0026amp; International Health\u003c/em\u003e, 18(12), 1464\u0026ndash;1474. \u003c/li\u003e\n\u003cli\u003eMalaria Consortium. (2018). \u003cem\u003eCountry brief: Zambia\u003c/em\u003e. \u003c/li\u003e\n\u003cli\u003eMungusho, D., Zageye, A. F., \u0026amp; Mekonen, E. G. (2023). Spatial variation and multilevel determinants of malaria infection among pregnant women in sub-Saharan Africa: Using malaria indicator surveys. \u003cem\u003eBMC Infectious Diseases\u003c/em\u003e, 25, 654. \u003c/li\u003e\n\u003cli\u003eNational Malaria Control Centre (NMCC). (2012). Malaria control in Zambia. Lusaka: Ministry of Health.\u003c/li\u003e\n\u003cli\u003eOwusu-Boateng, G., Amoah, S., \u0026amp; Kpodo, R. (2022). Barriers to malaria prevention among pregnant women: A mixed-methods study in Ghana. \u003cem\u003eMalaria Journal\u003c/em\u003e, 22, 84. \u003c/li\u003e\n\u003cli\u003ePell, C., Mativo, T., \u0026amp; Sasi, P. (2013). Knowledge of malaria prevention among pregnant women in Ghana. \u003cem\u003eTropical Medicine \u0026amp; International Health\u003c/em\u003e, 18(4), 443\u0026ndash;451. \u003c/li\u003e\n\u003cli\u003eRassi, S. A., Kabu, A. O., \u0026amp; Folayan, M. O. (2016). Stock-outs of sulfadoxine-pyrimethamine and their effect on malaria prevention in Uganda. \u003cem\u003eMalaria Journal\u003c/em\u003e, 15, 290. \u003c/li\u003e\n\u003cli\u003eUnited Nations. (2015). \u003cem\u003eTransforming our world: The 2030 agenda for sustainable development\u003c/em\u003e. \u003c/li\u003e\n\u003cli\u003eWorld Health Organization. (2015). \u003cem\u003eGlobal technical strategy for malaria 2016\u0026ndash;2030\u003c/em\u003e. Geneva: WHO.\u003c/li\u003e\n\u003cli\u003eWorld Health Organization. (2018). \u003cem\u003eWorld malaria report 2018\u003c/em\u003e. Geneva: WHO.\u003c/li\u003e\n\u003cli\u003eWorld Health Organization. (2021). \u003cem\u003eWorld malaria report 2021\u003c/em\u003e. Geneva: WHO.\u003c/li\u003e\n\u003cli\u003eWorld Health Organization. (2022). Malaria factsheet. \u003c/li\u003e\n\u003cli\u003eZambia Ministry of Health. (2019). \u003cem\u003eNational malaria strategic plan 2017\u0026ndash;2021\u003c/em\u003e. Lusaka: Ministry of Health.\u003c/li\u003e\n\u003cli\u003eZegeye, A. F., Mekonen, E. G., Gebrehana, D. A., et al. (2025). Spatial variation and multilevel determinants of malaria infection among pregnant women in sub-Saharan Africa: Using malaria indicator surveys. \u003cem\u003eBMC Infectious Diseases\u003c/em\u003e, 25, 654. \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"malaria-journal","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"malj","sideBox":"Learn more about [Malaria Journal](http://malariajournal.biomedcentral.com/)","snPcode":"12936","submissionUrl":"https://submission.nature.com/new-submission/12936/3","title":"Malaria Journal","twitterHandle":"@malariajournal","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7283905/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7283905/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003eMalaria remains endemic in Zambia, carrying about 2% of the global malaria burden (MIS, 2019). Malaria is preventable, treated and can be eliminated. Zambia launched a National Malaria Elimination Strategic Plan 2017-2021, with the aim of eliminating malaria completely. However, a lot of factors have influenced this strategy, and this study wishes to explore such factors in Shiwang’andu district of Muchinga province. Therefore, the aim of this study was to determine the effectiveness of the measures put in place to prevent malaria in pregnancy in Shiwang'andu District.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethodology\u003c/strong\u003e: a cross-sectional study was done using convergent mixed method at 5 randomly selected health facilities in Shiwang’andu district. 323 pregnant women were selected using systematic random sampling together with 10 health workers selected from the health facilities. Quantitative data was collected from the pregnant women using a pre-designed self-administered questionnaire and a semi structured interview guide during focused group discussions. Qualitative data was collected from healthcare workers using semi structured interview guide during in-depth interview. Quantitative data collected was entered and analyzed using STATA whereas qualitative data was analyzed using thematic code analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eThere were fluctuations in the prevalence trends of malaria in pregnancy from 2017-2024 in Shiwang’andu district with the highest being 14% in 2017 and 2020 and the lowest being 9% in 2022. However, the results show an upward trend in the last 3 years from 9% in 2022 to 14% in 2024. The pregnant women had high knowledge about malaria in pregnancy (61.3%). However, gaps in knowledge still exist on the complications and the misconceptions on the cause.\u003c/p\u003e\n\u003cp\u003eQualitative data showed that health care workers demonstrated a solid understanding of malaria in pregnancy and recognized serious complications. Most facilities reported having preventive strategies in place, including the administration of Fansidar (IPTp), distribution of insecticide-treated nets (ITNs), and periodic indoor residual spraying (IRS) when supported by the district. Challenges included lack of clean drinking water or cups, stock-outs of Fansidar, ITNs were not always available, IRS was irregular.\u003c/p\u003e\n\u003cp\u003eQuantitative data further showed that majority (55.7%) of the respondents received more than 3 doses of Fansidar. Majority (57.3%) of the women agreed that the Fansidar was given under observation (DOT). Only a few (31.6%) received insecticide treated mosquito nets despite majority (58.8%) of the respondents sleeping under a mosquito net. Further, few houses (28.9%) had been sprayed. There was a relationship between receiving more than 3 doses of IPTp and knowledge, and between IPTp and not having malaria.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003ePregnant women and healthcare workers demonstrated good knowledge about malaria despite having gaps in knowledge and some misconceptions. Systematic challenges hindered the effective implementation of the preventive measures. There is need for strengthened health system support, improved community education, and consistent implementation of malaria prevention strategies in pregnancy.\u003c/p\u003e","manuscriptTitle":"Factors Influencing the Prevention of Malaria in Pregnancy in Zambia; a Case of Shiwang'andu District.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-27 06:16:54","doi":"10.21203/rs.3.rs-7283905/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewersInvited","content":"","date":"2025-08-16T19:55:29+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-11T07:16:28+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-08-11T07:14:13+00:00","index":"","fulltext":""},{"type":"submitted","content":"Malaria Journal","date":"2025-08-03T14:20:50+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"malaria-journal","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"malj","sideBox":"Learn more about [Malaria Journal](http://malariajournal.biomedcentral.com/)","snPcode":"12936","submissionUrl":"https://submission.nature.com/new-submission/12936/3","title":"Malaria Journal","twitterHandle":"@malariajournal","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9d773575-175f-4ff9-8c71-70875f520e11","owner":[],"postedDate":"August 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-08-27T06:16:54+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-27 06:16:54","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7283905","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7283905","identity":"rs-7283905","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}