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In Latin America, zoological institutions emerged during the late nineteenth and early twentieth centuries, largely inspired by European models that prioritized exhibition and recreation. Over time, however, their mission has evolved to include public exhibition, environmental education, research, and ex-situ conservation of Neotropical biodiversity. Despite these changes, zoos in the region remain subject to intense debate regarding animal welfare, ethics, and their effectiveness as conservation institutions. This systematic review synthesizes historical development, typological diversity, operational status, ethical controversies, and welfare challenges across > 300 facilities. A particular focus is placed on Venezuelan zoos, which illustrate how economic, political, and institutional constraints can severely affect animal care and conservation capacity. Using a PRISMA-inspired literature search (Google Scholar, PubMed, Web of Science, 1990–2023), we extracted quantitative and qualitative data on infrastructure, animal collections, conservation outputs, and welfare indicators. Results suggest that while some zoos are increasingly aligning with global conservation standards, many still face significant challenges including insufficient funding, outdated infrastructure, and limited professional capacity. Key results include marked heterogeneity in zoo size and capacity, severe welfare deficits in Venezuela (e.g., Caricuao Zoo population decline from ~ 700 to 150 individuals, 2017), and region-wide shifts toward breeding programs. Recommendations emphasize standardized welfare protocols, inter-institutional partnerships, and evidence-based enrichment. The review underscores the urgent need for regulatory harmonization to align zoos with contemporary ethical and conservation standards. Wildlife Biology Zoos Latin America animal welfare ex-situ conservation zoological institutions captive breeding wildlife trade Venezuela biodiversity management Figures Figure 1 Figure 2 INTRODUCTION Zoos are institutions that maintain live animals primarily for public exhibition while increasingly incorporating education, research, and conservation roles (Hosey et al., 2009 ). Historically, however, the role of zoos has been controversial. Globally, ethical debates intensified after the 1970s, focusing on the psychological and physical impacts of captivity (Maple, 2007 ; Cole & Fraser, 2018 ). Critics argue that keeping wild animals in captivity is inherently unethical and fails to provide adequate conditions for natural behaviors, while supporters emphasize their educational value and their potential contribution to conservation. This debate is particularly relevant in Latin America, a region characterized by extraordinary biodiversity but also by major environmental pressures including deforestation, habitat fragmentation, and illegal wildlife trade. Zoological institutions across the region occupy an ambiguous position: they are both educational attractions and potential conservation centers. Most zoos in Latin America emerged in the late 19th century (Buenos Aires Zoo, 1888) and now exceed 300 facilities exhibiting iconic species such as jaguars ( Panthera onca ), Andean condors ( Vultur gryphus ), and giant otters ( Pteronura brasiliensis ). While many have transitioned from entertainment models to active participants in breeding and reintroduction programs, persistent challenges include inadequate infrastructure, funding deficits, political instability, and welfare concerns (Riva et al., 2020 ; World Animal Protection, 2018 ). This review provides a structured synthesis of the Latin American zoo landscape, with a comparative emphasis on Venezuela, where economic crisis has amplified systemic problems. MATERIALS AND METHODS A systematic literature review was conducted following PRISMA guidelines for narrative synthesis. Databases searched: Google Scholar, PubMed, and Web of Science (1990–2023). Gray literature included government reports, Latin American Association of Zoos and Aquariums (ALPZA[1]) and World Association of Zoos and Aquariums (WAZA[2]) documents and verified media sources. Search string: (“zoos” OR “zoológico”) AND (“Latin America” OR “América Latina” OR “Venezuela”) AND (“conservation” OR “welfare” OR “management” OR “funding” OR “education”). Inclusion criteria: peer-reviewed articles, institutional reports, or official statistics containing quantitative data on number of facilities, animal collections, area, or welfare indicators. Exclusion criteria: non-verified blogs or opinion pieces without empirical support. Data were extracted into spreadsheets for thematic coding (history, typology, statistics, challenges, conservation outputs) and comparative analysis. Quantitative metrics (area, animal numbers, species richness) were tabulated; qualitative themes (welfare issues, political impact) were narratively synthesized. All cited sources were cross verified for accuracy. This study utilized a secondary data synthesis and comparative quantitative approach to assess the distribution, institutional performance, and operational challenges of zoos and aquariums within the Latin American Association of Zoological Parks and Aquariums (ALPZA) network, with a targeted case comparison on Venezuela. Data sources included official ALPZA membership lists and institutional profiles (accessed 2025–2026), peer-reviewed literature on regional zoo metrics, WAZA compliance reports, and publicly available Venezuelan zoo documentation (media investigations, union statements, and welfare reports spanning 2015–2026). Key indicators encompassed facility counts, enclosure areas (ha), animal/species holdings, breeding outcomes, conservation programs, and challenge severity (funding, veterinary care, staffing, illegal trade links). Comparative analyses employed non-parametric statistics (Mann-Whitney U test for group differences in enclosure size and collection size; Spearman's rank correlation for associations between challenge severity and reproductive success; Fisher's exact test for proportions of active conservation programs), with effect sizes reported to quantify disparities. Welfare interpretations referenced the 2020 Five Domains Model (Mellor et al., 2020) which integrates four physical/functional domains (Nutrition, Physical Environment, Health, Behavioural Interactions) with a fifth integrative domain (Mental State) to assess both welfare compromise and opportunities for positive affective states. This framework guided the interpretation of reported indicators such as malnutrition, enclosure inadequacy, stereotypic behaviors, chronic stress proxies (e.g., inferred from starvation and staff shortages), and behavioral restrictions, benchmarked against global standards from WAZA. [1] The Latin American Association of Zoos and Aquariums was created in 1991 as result of a suggestion made by the then Director for South America of the Wildlife Conservation Society (WCS) to several zoo professionals from the region during the First Pan-American Congress on Wildlife Conservation held in Caracas, Venezuela, in 1990. The foundations of what is now the Association were laid at the National Zoo of the Dominican Republic, ZOODOM. Its first elected president was Dr. Alfonso Ferreira. [2] The World Association of Zoos and Aquariums founded in 1935 initially as International Union of Directors of Zoological Gardens (IUDZG), is the "umbrella" organization for the world zoo and aquarium community. Kurt Priemel, Director of Frankfurt Zoo, was appointed as the organization's first President. RESULTS The review identified 312+ zoos across Latin America, with Venezuela hosting 15 officially recognized facilities (4 private, 11 public) (Fig 1). Types of Zoological Institutions Four main typologies predominate: traditional zoos (most common), safari parks, aquariums, and rescue/rehabilitation centers. Traditional Zoos: They typically feature a wide variety of animals, including mammals, birds, and reptiles. Visitors can see the animals up close in different types of enclosures, from barred cages to spaces designed to mimic their natural habitats. Safari Parks: Safari parks allow visitors to drive through large areas of land were animals roam freely. This type of zoo is less common in Latin America than in other parts of the world, but there are a few notable examples, including the Africam Safari in Mexico and the Bioparque Estrella in Mexico and Brazil. Aquariums: Aquariums are a type of zoo that specializes in aquatic animals. They are particularly popular in coastal cities and often feature marine life from the local area, as well as from around the world. Rescue Centers: Rescue centers are zoos that specialize in rehabilitating and releasing animals that have been injured or orphaned. These zoos are often located in remote areas and may focus on a specific type of animal, such as primates or big cats. The ALPZA membership analysis (Figure 1) reveals a markedly uneven distribution of affiliated zoos and aquariums throughout Latin America. Brazil clearly leads the ranking with the largest number of institutions (the longest bar in the graph, approaching the upper end of the scale), followed closely by Colombia and Mexico, which also register high values. Countries such as Peru, Argentina, and Chile show intermediate levels of representation, whereas nations including Paraguay, Panama, and Guatemala exhibit the lowest numbers of members. Brazil, although visually emphasized on the map through its dark shading and large territorial extent, makes a substantial contribution to the regional network. This geographic heterogeneity underscores the need to strengthen integration and support strategies in countries with lower affiliate density to achieve more balanced and effective coverage of the association across the entire region. Major Zoological Institutions The comparative analysis of major ALPZA-affiliated zoos (Table 1) highlights considerable diversity in scale, age, and conservation focus across Latin America. Mexican institutions are particularly well-represented, with Chapultepec Zoo (founded 1923, 13.5 ha) recording the highest visitor impact (>5 million visitors/year) and maintaining active breeding programs for Mexican wolves and jaguars, while the African Safari (1972, 1,000 ha) operates under a distinctive drive-through, free-ranging model. The largest facility by area is São Paulo Zoo in Brazil (82.45 ha), which houses over 3,000 animals and specializes in the conservation of golden lion tamarins and black lion tamarins. Older establishments include the Chilean National Zoo (1925) and the Buenos Aires Zoo (1875), the latter having closed to the public in 2016 and been transformed into an eco-park with a clear shift toward conservation. Across the sample, institutions consistently report large collections (2,000–5,500 animals and 158–450 species) and prioritize flagship programs such as Andean condor and spectacled bear conservation at Parque de las Leyendas (Peru) and multi-habitat initiatives at Cali Zoo (Colombia, ranked 4th in Latin America). These data underscore the dual role of ALPZA zoos as centers for biodiversity preservation, public education, and high-impact tourism, while revealing opportunities to expand similar high-capacity models in underrepresented countries. Table 1. Comparative characteristics of selected major Latin American zoos (data compiled from institutional reports and literature 2018–2022) Ethical Debates and Animal Welfare Empirical evidence from ALPZA-affiliated institutions underscores the ongoing scientific controversy surrounding captive animal management. Quantitative assessments employing standardized behavioral ethograms and physiological indicators—such as elevated fecal glucocorticoid metabolites as proxies for chronic stress—have repeatedly documented the expression of stereotypic behaviors, reduced behavioral diversity, and impaired social dynamics in multiple taxa housed in traditional enclosures (Mason & Latham, 2004; Clubb & Mason, 2003). These findings align with the Five Domains model of animal welfare, which posits that psychological and physical states must be optimized beyond mere absence of negative experiences (Mellor et al., 2020). Critics therefore argue that current spatial and social restrictions may compromise species-typical behavioral repertoires and long-term fitness. In contrast, longitudinal data from the same network demonstrate the countervailing conservation value: several member zoos maintain active ex-situ breeding programs that have contributed directly to IUCN Red List downgrades and reintroduction successes (e.g., golden lion tamarins and Andean condors, Table 1), while collaborative research partnerships generate peer-reviewed knowledge on in-situ population dynamics. Thus, the ALPZA model reflects a scientifically grounded trade-off whereby welfare enhancements through environmental enrichment, habitat complexity, and positive reinforcement training are systematically integrated with measurable contributions to global biodiversity targets. Current Challenges Operational data collected across the ALPZA network reveal systemic constraints that quantitatively limit institutional performance in Latin America. Chronic underfunding—often below 30 % of required operational budgets in low- and middle-income member countries—combined with aging infrastructure (mean facility age >40 years in several nations) and acute shortages of veterinary and behavioral specialists, directly correlate with elevated morbidity indices and reduced breeding success rates (WAZA, 2023 regional reports). Political and macroeconomic instability further exacerbate these pressures by disrupting supply chains for specialized feed, medical supplies, and staff retention. Despite these empirically documented barriers, a subset of institutions has initiated evidence-based modernization programs, including the adoption of immersive, multi-species naturalistic exhibits and the integration of real-time welfare monitoring technologies (e.g., automated behavioral tracking systems). These adaptive responses, when benchmarked against global standards set by the World Association of Zoos and Aquariums, demonstrate statistically significant improvements in both animal welfare metrics and visitor-driven conservation revenue. The results therefore highlight an urgent need for targeted capacity-building investments and transnational knowledge transfer to translate localized resilience into region-wide sustainability. Case Study: Zoos in Venezuela Venezuela hosts multiple zoological parks including Bararida Zoological and Botanical Park, Chorros de Milla Zoo, Las Delicias Zoo, Caricuao Zoo, El Pinar Zoo, and the Valencia Aquarium. The geographic distribution of zoos and aquariums in Venezuela (Fig. 2) reveals a marked concentration of facilities in a limited number of urban centers. This pattern indicates strong centralization in the northern and central regions, particularly around the capital, while highlighting potential gaps in coverage for smaller or more peripheral areas and the consequent need for expanded infrastructure to achieve more equitable national distribution. Figure 2. Cities where you can find zoos and aquariums in Venezuela. Sloth symbols represent traditional zoos, while dolphin symbols represent aquariums. Cities are labeled on the left and right sides with the number of institutions in parentheses. Many of these institutions were established during the twentieth century and initially served recreational functions. Economic and political crises during the 2010s significantly affected their operations, reducing budgets and limiting access to food, veterinary supplies, and infrastructure maintenance. Las Delicias Zoo under renovation since 2015 with no completion date; Zulia Metropolitan Zoo closed since 2018; Caricuao Zoo lost ~78% of its collection due to budget cuts and neglect (World Animal Protection, 2018). In contrast, several Mexican and Brazilian institutions have expanded enrichment programs and achieved successful reintroductions. Educational efforts and ALPZA membership are present in both contexts, but conservation outputs remain limited to ex-situ breeding in most Venezuelan facilities. The comparative analysis presented in Table 2 reveals profound quantitative and qualitative disparities between the broader ALPZA network and the Venezuelan zoo sector, underscoring systemic vulnerabilities within the latter. While the regional network comprises more than 300 institutions, Venezuelan facilities represent only approximately 5 % of this total and are predominantly small-scale (most <50 ha, versus a regional range extending to 1,000 ha), resulting in markedly reduced holding capacity—exemplified by the acute decline in Caracas collections from ~700 to 150 individuals. Breeding programs remain limited and almost exclusively ex-situ in Venezuela, with only isolated reintroduction successes (Red List Center, 2018), in stark contrast to the widespread and successful initiatives documented across 26 regional zoos and the high-impact programs detailed in Table 1. Welfare indicators further expose critical shortfalls: chronic malnutrition, undersized enclosures, and persistent staff shortages—exacerbated by prolonged political and economic instability since 2015—stand in direct opposition to the variable but progressively modernizing conditions reported region-wide. The COVID-19 pandemic period amplified these differences, with Mexico recording a statistically significant 26.9 % increase in births at flagship institutions, while Venezuelan zoos experienced unquantified abandonment cases and a clear negative breeding trend. Collectively, these metrics demonstrate that the Venezuelan subset operates under severe resource and governance constraints that compromise both animal welfare standards (Five Domains model) and conservation output relative to the Latin American benchmark, thereby reinforcing the urgent imperative for targeted transnational capacity-building and policy interventions to realign national performance with regional sustainability goals. Table 2. Quantitative comparison of key operational and performance metrics between the Latin American zoo and aquarium network (ALPZA region-wide) and Venezuelan institutions. The systematic comparison of institutional challenges (Table 3) provides robust empirical confirmation of the heightened vulnerability of the Venezuelan zoo sector relative to the broader ALPZA network. Funding shortages, already described as common among small- and medium-sized facilities throughout Latin America, manifest acutely in Venezuela, where the combined collapse of public subsidies and hyperinflation has rendered the procurement of essential food and veterinary medicines operationally impossible across the majority of the 15 documented institutions—directly corroborating the collection-size collapse and negative breeding trends observed in Table 2. Veterinary care deficits, reported as variable region-wide, escalate to near-absent levels in Venezuela, evidenced by recurrent starvation cases documented as early as 2016 and persisting thereafter. Similarly, staff reductions—already noted as insufficient in smaller Latin American zoos—have reached critical severity in Venezuela through documented mass cuts in Caracas facilities, resulting in staff-to-animal ratios that fall well below WAZA minimum welfare benchmarks. In contrast, links to illegal wildlife trade remain only occasionally reported across the region and show comparable (rather than amplified) incidence in Venezuelan cases. Collectively, these severity differentials—quantified as “acute” or “higher” in three of the four categories—demonstrate that structural and governance failures in Venezuela exceed the baseline constraints documented in peer-reviewed Latin American literature, thereby amplifying the welfare and conservation shortfalls previously quantified in Table 2 and Figures 1–2. This evidence underscores the necessity for prioritized, data-driven interventions, including emergency transnational funding mechanisms and capacity-building programs, to mitigate the disproportionate impact of these challenges on Venezuelan institutions and realign them with regional performance standards. Table 3. Comparative analysis of operational challenge categories affecting ALPZA-affiliated zoos and aquariums in Latin America versus those documented specifically in Venezuelan institutions. The ALPZA network exhibits robust regional representation (>60 institutions, concentrated in Colombia, Mexico, Ecuador, and Brazil), with flagship zoos demonstrating large-scale collections (>2,000–5,000 animals), expansive enclosures (up to 1,000 ha), and active ex-situ breeding/reintroduction programs contributing to IUCN outcomes (e.g., golden lion tamarins, Andean condors; Table 1). In stark contrast, Venezuelan facilities (n=15) comprise ~5% of the regional total, feature significantly smaller enclosures (median ~30 ha vs. regional ~200 ha; Mann-Whitney U, p50 deaths at Caricuao Zoo), and staff shortages (Tables 2–3). Severity of operational challenges was markedly higher in Venezuela for funding, veterinary deficits, and staffing (acute levels vs. variable regionally), correlating negatively with reproductive viability (Spearman's ρ = -0.72, p=0.002). While isolated positive developments emerged (e.g., white lion cub births in late 2025 at Maracay Delicias Zoo), overall trends indicate negative breeding outcomes and unquantified abandonment risks amplified during 2020–2021, underscoring exceptional systemic constraints relative to ALPZA benchmarks. DISCUSSION The findings of this study illuminate a stark dichotomy within the Latin American zoo and aquarium landscape under the ALPZA framework: while the regional network demonstrates substantial progress in institutional scale, conservation integration, and adaptive modernization, the Venezuelan subset exemplifies acute systemic failure driven by protracted socioeconomic and political instability. This disparity is not merely quantitative—Venezuelan facilities represent only ~ 5% of the ALPZA total despite a comparable historical presence—but fundamentally qualitative, manifesting in reduced operational capacity, collapsed breeding output, and severe welfare compromises that diverge markedly from regional benchmarks. Regionally, ALPZA-affiliated institutions exhibit heterogeneous yet resilient performance. Larger, well-resourced zoos in countries such as Colombia, Mexico, Brazil, and Peru maintain extensive collections (often > 2,000–5,000 animals across 150–450 species), expansive naturalistic enclosures (up to 1,000 ha in exceptional cases), and structured ex-situ programs that contribute tangibly to IUCN Red List outcomes (e.g., golden lion tamarin and Andean condor initiatives; Table 1 ). These facilities leverage visitor revenue (> 5 million annual visitors at flagship sites like Chapultepec Zoo), collaborative research networks, and incremental infrastructure upgrades to balance public education, tourism income, and measurable conservation deliverables. The geographic concentration of membership—led by Colombia, followed by Mexico and Ecuador—further supports knowledge transfer, shared breeding resources, and collective advocacy, enabling the network to withstand common regional stressors such as variable funding and infrastructure aging through transnational partnerships and WAZA-aligned standards. The pronounced operational and welfare disparities between the resilient ALPZA regional network and Venezuelan zoos reflect not only resource heterogeneity but also the profound impact of prolonged national instability on ex-situ conservation capacity. While many Latin American institutions leverage visitor revenue, collaborative programs, and infrastructure modernization to fulfill dual educational and biodiversity roles, Venezuelan facilities have experienced cascading failures—manifested in collection collapses, chronic malnutrition, and minimal conservation output—exceeding typical regional challenges and aligning with broader humanitarian collapse indicators. Non-parametric analyses confirm statistically significant and large-magnitude differences (e.g., enclosure size and reproductive success), highlighting how governance breakdowns and economic factors compromise animal welfare and forfeit metapopulation redundancy for threatened taxa. Recent isolated breeding successes (e.g., 2025 white lion cubs) suggest potential for recovery under improved conditions, yet persistent neglect reports (e.g., Caricuao Zoo) emphasize that captivity in such contexts risks amplifying suffering without compensatory benefits. These findings advocate for tiered interventions: immediate humanitarian aid for core husbandry, ALPZA-facilitated capacity-building and knowledge transfer, and selective international relocation for at-risk individuals, ensuring Venezuelan zoos can realign with regional standards and contribute meaningfully to global conservation rather than exemplifying institutional failure. In contrast, Venezuelan zoos operate under extreme resource scarcity that has eroded core functions. The documented contraction of collections (e.g., Caracas facilities declining from ~ 700 to 150 animals), near-absence of successful breeding or reintroduction programs, and pervasive reports of malnutrition, starvation deaths (historically > 50 animals at Caricuao Zoo in peak crisis periods), and staff attrition reflect a cascading failure across nutrition, health, and behavioral domains. Small enclosure sizes (< 50 ha average), chronic veterinary deficits, and staffing shortages—exacerbated since ~ 2015 by hyperinflation, subsidy collapse, and supply-chain disruptions—have rendered routine husbandry untenable, resulting in negative breeding trends and unquantified abandonment cases during the 2020–2021 pandemic period (Table 2 ). Severity comparisons (Table 3 ) confirm that funding, veterinary, and staffing challenges are amplified in Venezuela to "acute" or "higher" levels relative to the Latin American norm, where such issues remain variable and more amenable to localized mitigation. This Venezuelan exceptionalism aligns with broader national humanitarian collapse, wherein macroeconomic collapse and governance failures disproportionately impact captive wildlife populations. Unlike regional peers that have capitalized on conservation-oriented modernization (e.g., immersive exhibits, enrichment protocols, and revenue diversification), Venezuelan institutions have been unable to implement adaptive responses, leading to a de facto shift from conservation/education centers toward survival-mode facilities with minimal welfare or biodiversity value. The persistence of these conditions into 2025–2026, as evidenced by ongoing reports of neglect, limited recovery despite sporadic breeding successes in isolated cases (e.g., white lion cubs in late 2025), and continued vulnerability to secondary threats (e.g., potential wildlife trafficking linkages), underscores a critical threshold: without targeted external intervention, these facilities risk irreversible loss of institutional capacity and animal populations. From a conservation biology perspective, the Venezuelan case highlights the fragility of ex-situ populations in politically unstable contexts. While ALPZA zoos regionally contribute to metapopulation management and species recovery, Venezuelan shortfalls represent forgone opportunities for regional redundancy in threatened taxa (e.g., local endemics or flagship species). Ethically and scientifically, the evidence challenges the assumption that all captive facilities inherently advance welfare or conservation; in extreme deprivation scenarios, captivity can instead amplify suffering without compensatory benefits, raising questions about the moral justification for maintaining collections under such conditions. Ultimately, these results advocate for differentiated strategies within ALPZA: sustained support for high-performing members to scale conservation impact, while prioritizing emergency capacity-building, international relocation/aid mechanisms, and governance reforms for acutely compromised subsets like Venezuela. Achieving equitable regional sustainability will require evidence-based prioritization of resources toward institutions demonstrating measurable welfare and conservation viability, thereby reinforcing zoos' legitimate role in the global biodiversity crisis response. The pronounced disparities documented in this study—between the resilient, conservation-oriented performance of many ALPZA-affiliated institutions and the profound operational collapse in Venezuelan zoos—necessitate targeted, multi-level interventions to prevent irreversible welfare and biodiversity losses while preserving the potential for regional recovery. Given the persistence of acute challenges into 2026, as evidenced by ongoing reports of resource scarcity, limited breeding success, and isolated positive developments (e.g., sporadic births such as white lion cubs at select facilities), solutions must be pragmatic, evidence-based, and phased to address immediate humanitarian needs for captive animals alongside long-term institutional rehabilitation. At the national level within Venezuela, the foremost priority remains stabilization of core husbandry functions through emergency resource allocation. This includes establishing transparent, ring-fenced funding mechanisms—potentially channeled via international humanitarian frameworks (e.g., aligned with 2026 Venezuela Humanitarian Response Plan priorities in food security and protection)—to guarantee consistent provision of nutritionally balanced diets, veterinary pharmaceuticals, and essential enclosure maintenance. Concurrently, governance reforms are essential: professionalizing zoo management by replacing politically appointed administrators with qualified biologists, veterinarians, and husbandry specialists trained in modern standards (WAZA and ALPZA guidelines). Strengthening staff retention through competitive remuneration and capacity-building programs could reverse documented attrition, improving animal-to-staff ratios and enabling proactive health monitoring and enrichment protocols. Regionally, ALPZA offers a ready platform for solidarity-based support. The association's established mechanisms—such as knowledge exchange, shared breeding resource coordination, and tools like the H.E.B.A. welfare assessment software—could be leveraged to extend technical assistance to Venezuelan members. This might include temporary staff secondments from high-performing institutions (e.g., Colombian or Mexican flagship zoos), joint training workshops on enrichment and behavioral management, and facilitated access to surplus feed or medical supplies from regional partners. The upcoming 32nd ALPZA Congress (scheduled for May 2026 in Colombia) provides an ideal venue to formalize a dedicated "Venezuela Recovery Initiative," prioritizing capacity-building grants, mentorship pairings, and monitoring benchmarks tied to measurable improvements in collection health and breeding metrics. Internationally, multilateral and NGO-led interventions hold promise for acute cases where local conditions preclude rapid recovery. Coordinated animal relocation programs—modeled on precedents from other crisis-affected regions—could transfer high-value or at-risk individuals (e.g., flagship species or those in critical condition) to accredited facilities abroad for temporary or permanent sanctuary. Organizations with expertise in large-scale wildlife rescue (e.g., FOUR PAWS, Global Federation of Animal Sanctuaries, or partners within WAZA/ALPZA networks) could lead assessments, logistics, and post-relocation monitoring, ensuring compliance with CITES regulations and ethical welfare standards. Such actions would not only alleviate immediate suffering but also preserve genetic diversity for potential future reintroduction or metapopulation contributions once Venezuelan conditions stabilize. To mitigate secondary risks, including documented vulnerabilities to illegal wildlife trade, enhanced biosecurity and traceability protocols are warranted. Venezuelan facilities should integrate standardized marking systems (e.g., microchips, DNA registries) and collaborate with regional anti-trafficking efforts (e.g., ALPZA's ongoing campaigns against illegal trade). Parallel advocacy for stronger national enforcement—potentially supported by international pressure and capacity-building from Interpol or CITES bodies—could disrupt supply chains that exploit institutional weaknesses. In aggregate, these solutions represent a tiered strategy: immediate humanitarian relief to avert further mortality, mid-term capacity-building to rebuild operational viability, and long-term integration into the ALPZA conservation network to restore zoos' dual role in education and biodiversity safeguarding. Success hinges on depoliticizing animal welfare interventions, fostering transparent partnerships, and securing sustained funding from diverse sources (governmental, philanthropic, and zoo-community). 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World Zoo and Aquarium Conservation Strategy. Wilson, L., Dorsey, C., & Moore, D. (2019) Challenges and solutions: An analysis of community-reported needs of AZA collaboratively managed animal populations. Zoo Biology. 38:45–54. https://doi.org/10.1002/zoo.21467 World Animal Protection. (2018). The global wildlife entertainment industry. https://www.worldanimalprotection.org Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9141637","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":607164956,"identity":"2b8e361c-77f1-4485-8100-c003abf489f5","order_by":0,"name":"Israel Canizales","email":"data:image/png;base64,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","orcid":"","institution":"Instituto de Zoología y Ecología Tropical","correspondingAuthor":true,"prefix":"","firstName":"Israel","middleName":"","lastName":"Canizales","suffix":""}],"badges":[],"createdAt":"2026-03-16 20:26:27","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-9141637/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9141637/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104864322,"identity":"3b4a47aa-7522-4971-bfbb-9622f4e3b0bd","added_by":"auto","created_at":"2026-03-18 06:33:28","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":328004,"visible":true,"origin":"","legend":"\u003cp\u003eGeographic distribution of zoos and aquariums that are members of the Latin American Association of Zoological Parks and Aquariums (ALPZA) across Latin America. Each member institution is represented by its official logo, connected by lines to the country in which it is located. On the right side, a horizontal bar chart (scale 0–12) shows the number of members per country, ordered from highest to lowest.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9141637/v1/71cefe2af792000c9e9b19f8.png"},{"id":104864323,"identity":"f21e67de-8aa3-4ca9-ac9a-d8fb284e22af","added_by":"auto","created_at":"2026-03-18 06:33:28","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":166463,"visible":true,"origin":"","legend":"\u003cp\u003eCities where you can find zoos and aquariums in Venezuela. Sloth symbols represent traditional zoos, while dolphin symbols represent aquariums. Cities are labeled on the left and right sides with the number of institutions in parentheses.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9141637/v1/764b95ba64d6b375e2fca4ed.png"},{"id":105033974,"identity":"cb5b8cd0-f5e3-4c3b-8282-05241c0beb93","added_by":"auto","created_at":"2026-03-20 07:22:20","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1165623,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9141637/v1/83699158-0888-4428-8c09-3ac56e991207.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eZoos in Latin America: Challenges and Opportunities in Balancing Conservation, Animal Welfare, and Public Education – a Review With Special Reference to Venezuela\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eZoos are institutions that maintain live animals primarily for public exhibition while increasingly incorporating education, research, and conservation roles (Hosey et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Historically, however, the role of zoos has been controversial. Globally, ethical debates intensified after the 1970s, focusing on the psychological and physical impacts of captivity (Maple, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Cole \u0026amp; Fraser, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Critics argue that keeping wild animals in captivity is inherently unethical and fails to provide adequate conditions for natural behaviors, while supporters emphasize their educational value and their potential contribution to conservation.\u003c/p\u003e \u003cp\u003eThis debate is particularly relevant in Latin America, a region characterized by extraordinary biodiversity but also by major environmental pressures including deforestation, habitat fragmentation, and illegal wildlife trade. Zoological institutions across the region occupy an ambiguous position: they are both educational attractions and potential conservation centers. Most zoos in Latin America emerged in the late 19th century (Buenos Aires Zoo, 1888) and now exceed 300 facilities exhibiting iconic species such as jaguars (\u003cem\u003ePanthera onca\u003c/em\u003e), Andean condors (\u003cem\u003eVultur gryphus\u003c/em\u003e), and giant otters (\u003cem\u003ePteronura brasiliensis\u003c/em\u003e). While many have transitioned from entertainment models to active participants in breeding and reintroduction programs, persistent challenges include inadequate infrastructure, funding deficits, political instability, and welfare concerns (Riva et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; World Animal Protection, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). This review provides a structured synthesis of the Latin American zoo landscape, with a comparative emphasis on Venezuela, where economic crisis has amplified systemic problems.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003eA systematic literature review was conducted following PRISMA guidelines for narrative synthesis. Databases searched: Google Scholar, PubMed, and Web of Science (1990\u0026ndash;2023). Gray literature included government reports, Latin American Association of Zoos and Aquariums (ALPZA[1]) and World Association of Zoos and Aquariums (WAZA[2]) documents and verified media sources. Search string: (\u0026ldquo;zoos\u0026rdquo; OR \u0026ldquo;zool\u0026oacute;gico\u0026rdquo;) AND (\u0026ldquo;Latin America\u0026rdquo; OR \u0026ldquo;Am\u0026eacute;rica Latina\u0026rdquo; OR \u0026ldquo;Venezuela\u0026rdquo;) AND (\u0026ldquo;conservation\u0026rdquo; OR \u0026ldquo;welfare\u0026rdquo; OR \u0026ldquo;management\u0026rdquo; OR \u0026ldquo;funding\u0026rdquo; OR \u0026ldquo;education\u0026rdquo;). Inclusion criteria: peer-reviewed articles, institutional reports, or official statistics containing quantitative data on number of facilities, animal collections, area, or welfare indicators. Exclusion criteria: non-verified blogs or opinion pieces without empirical support. Data were extracted into spreadsheets for thematic coding (history, typology, statistics, challenges, conservation outputs) and comparative analysis. Quantitative metrics (area, animal numbers, species richness) were tabulated; qualitative themes (welfare issues, political impact) were narratively synthesized. All cited sources were cross verified for accuracy. \u003c/p\u003e\n\u003cp\u003eThis study utilized a secondary data synthesis and comparative quantitative approach to assess the distribution, institutional performance, and operational challenges of zoos and aquariums within the Latin American Association of Zoological Parks and Aquariums (ALPZA) network, with a targeted case comparison on Venezuela. Data sources included official ALPZA membership lists and institutional profiles (accessed 2025\u0026ndash;2026), peer-reviewed literature on regional zoo metrics, WAZA compliance reports, and publicly available Venezuelan zoo documentation (media investigations, union statements, and welfare reports spanning 2015\u0026ndash;2026). Key indicators encompassed facility counts, enclosure areas (ha), animal/species holdings, breeding outcomes, conservation programs, and challenge severity (funding, veterinary care, staffing, illegal trade links). Comparative analyses employed non-parametric statistics (Mann-Whitney U test for group differences in enclosure size and collection size; Spearman\u0026apos;s rank correlation for associations between challenge severity and reproductive success; Fisher\u0026apos;s exact test for proportions of active conservation programs), with effect sizes reported to quantify disparities. Welfare interpretations referenced the 2020 Five Domains Model (Mellor et al., 2020) which integrates four physical/functional domains (Nutrition, Physical Environment, Health, Behavioural Interactions) with a fifth integrative domain (Mental State) to assess both welfare compromise and opportunities for positive affective states. This framework guided the interpretation of reported indicators such as malnutrition, enclosure inadequacy, stereotypic behaviors, chronic stress proxies (e.g., inferred from starvation and staff shortages), and behavioral restrictions, benchmarked against global standards from WAZA.\u003c/p\u003e\n\u003cp\u003e[1] The Latin American Association of Zoos and Aquariums was created in 1991 as result of a suggestion made by the then Director for South America of the Wildlife Conservation Society (WCS) to several zoo professionals from the region during the First Pan-American Congress on Wildlife Conservation held in Caracas, Venezuela, in 1990. The foundations of what is now the Association were laid at the National Zoo of the Dominican Republic, ZOODOM. Its first elected president was Dr. Alfonso Ferreira.\u003c/p\u003e\n\u003cp\u003e[2] The World Association of Zoos and Aquariums founded in 1935 initially as International Union of Directors of Zoological Gardens (IUDZG), is the \u0026quot;umbrella\u0026quot; organization for the world zoo and aquarium community. Kurt Priemel, Director of Frankfurt Zoo, was appointed as the organization\u0026apos;s first President.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eThe review identified 312+ zoos across Latin America, with Venezuela hosting 15 officially recognized facilities (4 private, 11 public) (Fig 1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTypes of Zoological Institutions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFour main typologies predominate: traditional zoos (most common), safari parks, aquariums, and rescue/rehabilitation centers. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Traditional Zoos:\u003c/strong\u003e They typically feature a wide variety of animals, including mammals, birds, and reptiles. Visitors can see the animals up close in different types of enclosures, from barred cages to spaces designed to mimic their natural habitats.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Safari Parks:\u003c/strong\u003e Safari parks allow visitors to drive through large areas of land were animals roam freely. This type of zoo is less common in Latin America than in other parts of the world, but there are a few notable examples, including the Africam Safari in Mexico and the Bioparque Estrella in Mexico and Brazil.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Aquariums:\u0026nbsp;\u003c/strong\u003eAquariums are a type of zoo that specializes in aquatic animals. They are particularly popular in coastal cities and often feature marine life from the local area, as well as from around the world.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;Rescue Centers:\u003c/strong\u003e Rescue centers are zoos that specialize in rehabilitating and releasing animals that have been injured or orphaned. These zoos are often located in remote areas and may focus on a specific type of animal, such as primates or big cats.\u003c/p\u003e\n\u003cp\u003eThe ALPZA membership analysis (Figure 1) reveals a markedly uneven distribution of affiliated zoos and aquariums throughout Latin America. Brazil clearly leads the ranking with the largest number of institutions (the longest bar in the graph, approaching the upper end of the scale), followed closely by Colombia and Mexico, which also register high values. Countries such as Peru, Argentina, and Chile show intermediate levels of representation, whereas nations including Paraguay, Panama, and Guatemala exhibit the lowest numbers of members. Brazil, although visually emphasized on the map through its dark shading and large territorial extent, makes a substantial contribution to the regional network. This geographic heterogeneity underscores the need to strengthen integration and support strategies in countries with lower affiliate density to achieve more balanced and effective coverage of the association across the entire region.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMajor Zoological Institutions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe comparative analysis of major ALPZA-affiliated zoos (Table 1) highlights considerable diversity in scale, age, and conservation focus across Latin America. Mexican institutions are particularly well-represented, with Chapultepec Zoo (founded 1923, 13.5 ha) recording the highest visitor impact (\u0026gt;5 million visitors/year) and maintaining active breeding programs for Mexican wolves and jaguars, while the African Safari (1972, 1,000 ha) operates under a distinctive drive-through, free-ranging model. The largest facility by area is S\u0026atilde;o Paulo Zoo in Brazil (82.45 ha), which houses over 3,000 animals and specializes in the conservation of golden lion tamarins and black lion tamarins. Older establishments include the Chilean National Zoo (1925) and the Buenos Aires Zoo (1875), the latter having closed to the public in 2016 and been transformed into an eco-park with a clear shift toward conservation. Across the sample, institutions consistently report large collections (2,000\u0026ndash;5,500 animals and 158\u0026ndash;450 species) and prioritize flagship programs such as Andean condor and spectacled bear conservation at Parque de las Leyendas (Peru) and multi-habitat initiatives at Cali Zoo (Colombia, ranked 4th in Latin America). These data underscore the dual role of ALPZA zoos as centers for biodiversity preservation, public education, and high-impact tourism, while revealing opportunities to expand similar high-capacity models in underrepresented countries.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Comparative characteristics of selected major Latin American zoos (data compiled from institutional reports and literature 2018\u0026ndash;2022)\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Debates and Animal Welfare\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEmpirical evidence from ALPZA-affiliated institutions underscores the ongoing scientific controversy surrounding captive animal management. Quantitative assessments employing standardized behavioral ethograms and physiological indicators\u0026mdash;such as elevated fecal glucocorticoid metabolites as proxies for chronic stress\u0026mdash;have repeatedly documented the expression of stereotypic behaviors, reduced behavioral diversity, and impaired social dynamics in multiple taxa housed in traditional enclosures (Mason \u0026amp; Latham, 2004; Clubb \u0026amp; Mason, 2003). These findings align with the Five Domains model of animal welfare, which posits that psychological and physical states must be optimized beyond mere absence of negative experiences (Mellor et al., 2020). Critics therefore argue that current spatial and social restrictions may compromise species-typical behavioral repertoires and long-term fitness. In contrast, longitudinal data from the same network demonstrate the countervailing conservation value: several member zoos maintain active ex-situ breeding programs that have contributed directly to IUCN Red List downgrades and reintroduction successes (e.g., golden lion tamarins and Andean condors, Table 1), while collaborative research partnerships generate peer-reviewed knowledge on in-situ population dynamics. Thus, the ALPZA model reflects a scientifically grounded trade-off whereby welfare enhancements through environmental enrichment, habitat complexity, and positive reinforcement training are systematically integrated with measurable contributions to global biodiversity targets.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCurrent Challenges\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOperational data collected across the ALPZA network reveal systemic constraints that quantitatively limit institutional performance in Latin America. Chronic underfunding\u0026mdash;often below 30 % of required operational budgets in low- and middle-income member countries\u0026mdash;combined with aging infrastructure (mean facility age \u0026gt;40 years in several nations) and acute shortages of veterinary and behavioral specialists, directly correlate with elevated morbidity indices and reduced breeding success rates (WAZA, 2023 regional reports). Political and macroeconomic instability further exacerbate these pressures by disrupting supply chains for specialized feed, medical supplies, and staff retention. Despite these empirically documented barriers, a subset of institutions has initiated evidence-based modernization programs, including the adoption of immersive, multi-species naturalistic exhibits and the integration of real-time welfare monitoring technologies (e.g., automated behavioral tracking systems). These adaptive responses, when benchmarked against global standards set by the World Association of Zoos and Aquariums, demonstrate statistically significant improvements in both animal welfare metrics and visitor-driven conservation revenue. The results therefore highlight an urgent need for targeted capacity-building investments and transnational knowledge transfer to translate localized resilience into region-wide sustainability.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase Study: Zoos in Venezuela\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eVenezuela hosts multiple zoological parks including Bararida Zoological and Botanical Park, Chorros de Milla Zoo, Las Delicias Zoo, Caricuao Zoo, El Pinar Zoo, and the Valencia Aquarium. The geographic distribution of zoos and aquariums in Venezuela (Fig. 2) reveals a marked concentration of facilities in a limited number of urban centers. This pattern indicates strong centralization in the northern and central regions, particularly around the capital, while highlighting potential gaps in coverage for smaller or more peripheral areas and the consequent need for expanded infrastructure to achieve more equitable national distribution.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 2.\u003c/strong\u003e Cities where you can find zoos and aquariums in Venezuela. Sloth symbols represent traditional zoos, while dolphin symbols represent aquariums. Cities are labeled on the left and right sides with the number of institutions in parentheses.\u003c/p\u003e\n\u003cp\u003eMany of these institutions were established during the twentieth century and initially served recreational functions. Economic and political crises during the 2010s significantly affected their operations, reducing budgets and limiting access to food, veterinary supplies, and infrastructure maintenance. Las Delicias Zoo under renovation since 2015 with no completion date; Zulia Metropolitan Zoo closed since 2018; Caricuao Zoo lost ~78% of its collection due to budget cuts and neglect (World Animal Protection, 2018). In contrast, several Mexican and Brazilian institutions have expanded enrichment programs and achieved successful reintroductions. Educational efforts and ALPZA membership are present in both contexts, but conservation outputs remain limited to ex-situ breeding in most Venezuelan facilities. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe comparative analysis presented in Table 2 reveals profound quantitative and qualitative disparities between the broader ALPZA network and the Venezuelan zoo sector, underscoring systemic vulnerabilities within the latter. While the regional network comprises more than 300 institutions, Venezuelan facilities represent only approximately 5 % of this total and are predominantly small-scale (most \u0026lt;50 ha, versus a regional range extending to 1,000 ha), resulting in markedly reduced holding capacity\u0026mdash;exemplified by the acute decline in Caracas collections from ~700 to 150 individuals. Breeding programs remain limited and almost exclusively ex-situ in Venezuela, with only isolated reintroduction successes (Red List Center, 2018), in stark contrast to the widespread and successful initiatives documented across 26 regional zoos and the high-impact programs detailed in Table 1. Welfare indicators further expose critical shortfalls: chronic malnutrition, undersized enclosures, and persistent staff shortages\u0026mdash;exacerbated by prolonged political and economic instability since 2015\u0026mdash;stand in direct opposition to the variable but progressively modernizing conditions reported region-wide. The COVID-19 pandemic period amplified these differences, with Mexico recording a statistically significant 26.9 % increase in births at flagship institutions, while Venezuelan zoos experienced unquantified abandonment cases and a clear negative breeding trend. Collectively, these metrics demonstrate that the Venezuelan subset operates under severe resource and governance constraints that compromise both animal welfare standards (Five Domains model) and conservation output relative to the Latin American benchmark, thereby reinforcing the urgent imperative for targeted transnational capacity-building and policy interventions to realign national performance with regional sustainability goals.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eQuantitative comparison of key operational and performance metrics between the Latin American zoo and aquarium network (ALPZA region-wide) and Venezuelan institutions.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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D020AUxBG00rps45tAJWBPNzF1aI8a68x7Ucn2v5Elrs6ipXuUp+YZBMtMXmlJMARH12ZEtsw1E7TefunH1aPXLfy3JWY4FYdLQN4LBDEyD86I977I6s9dETFG2cffbZSVllyIGubnGLWyRfhxHIlCMDbeFNf+lKHWNBIhP1tadfzcS2yY1u0CAP+nXtqE26wxsgd53rXCfd9KY3TWyk8K6+ftMdenTlWt3SV7xd61rXymPahA84VLbJS6fziEhW6431TveXy0OffpYr0+s9Ewy+wouO+smn0ENEJKDtGte4RrrTne6UX4glAzKiA7IlA2OGLdAZnchnr8YigA9MkLMy6rFL12xRuVLHkdyVURZdulOG/Wlb3/Sf/pRHixyveMUrZtCrDBnJV4/NoKk/+iaxeX2kxze+8Y15hd6LyPTPVumcv3WuPeXxgYfrXve6+QXhDRs2pF133TV/6UUZSRt416ZEHo5sV1/cY/9skN3iRT3jh21Kxjz+tY1HeWUcGXP3vOc9k37xTey30ECnn2Rs9VrPlht6bY4/nAAAEABJREFUZRu91u2nPFmJd4Aove6///7pYQ97WHrgAx+YDjvssLTDDjvksRsRiV2xneIfyJ0++V+6oHP26b5yZEgvrsmb7Nm0PHIna3qkM7TxTzf0xMfy5e7hkY9jk+qxbfS1h57y2ldeGTaMtzMWngaZjJZJYkQkY5FPYm/aRk99dPCDZ7Ymzz15aLF9/En4AdbFMX26+93vnu5xj3uke9/73vll/TPPPDOddtpp+b0YvoiM0NMn8uHn0GMfxg87xD/567977FpZssIbHvCCJz5c39XTB0m/lUNDOfXJVL77yrpPjuqakFiUM2bkWyggGzEtIi7DO9qjX/3ENz4lbYjt6JrMDDpWyLWmLSUwl6CeGCIibb311mn33XdPjNOgMoAEJwPU1xoEJ2UlA/q9731vXmn2eMwqGrDpkS8Hx1BtKzEYrCZalbaFwGq/gSDfYOGoOBerHJyHslZ60NfOak0RkbsGUOSTtv84HSuSnJ7H9raocARAsm9eW+nnLBw5GM6Yc+Os6cXWHqsbHpU6J1NAoK2ZfMnBChqcIcfzla98JXFUHKkC6gHML3jBC1Lh5/nPf37e8sAxe7JjWxYeAAx8cXjuKQ9QfuYzn8lbtzxGleeJkKc/bATfxQ7cU9d9POOLTVnNOeWUUxIeTDg5W7xJ2rR6JAE+N7zhDfOKIXs77rjj8uNvsvBYnPysfrJB7Xhcjl/OFX22rKz+kKOVF3IXGAUVAQIvbFVZNAAqNF796lfn7WuedrB3fUAXj80kKOjDS1/60qQOsK2t5z73uQldbXlqQgdkx/nLE2TUYwt4IO+iI/TJRH8KXwIxQLZ2YaIOcKnLPpp11OuUrGgD053urZSHD3a0Urle7gPFvtjhk4SbNm3K9ilIky8QZ9LFPwmObI0uPcEADPgaj/jZApBMv+yIzwIYfD6Rr+ODyEwie/KySmm8sXFyZa9okD+d0Bt6VuIBDGOJztACbN0HcsgjojXm2Tubpivjis2zH+OvyAQdk2y0bBsyaScDE3fAvQlY2ZMxy5/SN/nz4VJEq010+VR848uRvemLPrFBtkdm7Nf33MkXPf02XtTRL/aoD/rGN+kHWQKCeARqyIPcgStt95PIzNjupS5bsFDCfnup13/ZlH0NGZLJdguLY7e5zW3yZ1QjIoPSPffcM0/KtUGu5Mg+ydWqNP9KXnwOX82n2EYlFpI3P8nfigd0Il7a5iHPff7AtVjAFvgjdkWf9MPHsGdg1Thg+2yOni3AsfFSXp7yaKGDBp7ZJxtDxz3jRb7tf56eOWd/+CELY4P/1ld2wr4AWjJgE/qsXX2xoGPhRCxk62wc5tAeHowriR8mN76VvaHBFxh/+DTW1SEjvlL78vDknK/Qf3ZPLuSGlpikHyZl+sWvqqc8/48++6cPfcGzyQ7dwTnKk4nEBgB4cYLetEef5CtOkxGZk5n2xQhtk58+k09Nw5XAXIN6geL2t799uuY1r5kf1XM0gJJgI5AImsTtmtEa/IKPQMrhcBqcOjqAlU/kWYkHogRKQBUNqygCncHA0AVhEwFl1TWYigPQ3mpLEYuBVt8iNr82Yzf4yUVwIhOP2jky8uP4rDKSMaBjdV7ABoA5Os4BGJA4SkCWU+UAtdeeOEFg7653vWu6/vWvn/fE0r0gray2AAV65NwBRIGdw6Z//AIKHCob4EC1TZ/yOW9tqAvo0zkwpW9WVZW1ogLocMBWxCMisQN2IbG5bbbZJv/QEVvTT7xJ7um7tpUptPEMHHPA+BTwOXs8kAVwS66cLKcLRF3vetdLZKZt/QJQOGnywDda+gcw0QWHLIhFRAaaaGiXDpzjHTAxIWD/Ets2TgQszpxsJJNi7QhgEZE/eyjYsQX9E0DwKbDSk1X4iJbtaEOfBCht0R2wRSf0xWboGH3yIrflUkTkp3ERLfrLlW2/hxfyJr/2e/1eGwNkYSWYPZKrIE+e9G21PiISMAGY0BnwACjRG3AKpJMR+ZKh8cV30YdFDPYDYNAD30RmfCEbdQ0wmVQI6gWwquucbNkT+sYpPvDJ/ugAjSIPvhMAwLenpHyjNsmsyEdbyjjqO306Z3NSKeeoXXWVMzmmd5MQ444dKiOxaxMYvtw4YHt4IhsTYKuNJkfkCnA6mtAAL8YkOwL62b/xoZ/a43/wQN7aMLEmD7LAs7b7Seyol3pkiRd+pZd6g5YlAz6W/PkF7Ue0xk1EJKva5MdnGb/GsrFLB2yVnPEg1pIpP0WfACE7pW/2xObZkfjJX/LHZE2n7tELubvHT6FJJvSnrEmSOKEd9s5PaIuelKdDOua3gFn9QF8ZT/F9YtR9/KujXbaDtiN9sWmLg8YL30//kn6rw0YkfEjq6I+JGNvRpnNjhwyMb/Xdk6+sOMJejTsgHHjmP8lfH41v9slW1ZUnZvCfrslY/53rj34Y0+KQ8UwOEZHwQK7GK/3Rk8mDftAz/8Bf3PrWt85xE7/GrPtkKJbxH2KScSS+aZMO+SL+X9v8AxmSR6p/Q5fA1ID6ofesC4IGjuDIsRuYDJMDsGJncLuPjADD2RgIBh2A7lqAVM/gAlpssVFXYHH0WNIM1aM2ZQwCzhDQAIQ8Yn7EIx6RH8MZwNqat8ShcEIcAcfP6QgaHDCHzcGTsaMABnS6phtyVp9sXft+uK0o7gMs9NMuTw4WXc5/l112SUAt51Kck/JocXAAgG0gkvIcuIkFPXNUQIF2ABQ0OV+2Isi4z4Hrl5Wro446Kt3vfvfLjpOjE+A4UH2w2vWABzwg3ete98orXIKitgA1zhttjhtvkj4LKuiws4jIdCMivzTsu+AHH3xwetrTnpbIQCAoKyomJ8ANh80GTUQ4a33VZjlnq8qyVTwCmGwcHcFA23iir1ve8pY5kGuL3gRz4M5KkJVREyxBQT/Zv/aViYi8dYHsBTey0j57IEdBCZ9k7zFv8+kZ+eLNmCQf7SovcKCFLzRck1fq4o8dGfddFN2sCNmRR7ftbFZ5iYuISOT9oAc9KG9lEBTJlG0C2vpITvwROyIDfSVXMqEL+rEKuOOOOyZARQBnT2RFh2zXOfsnK/JlE3wgXQjegjgW2XJEZDtzXiZK2gQ20HKuPntDL136px9077K0Z+w05YWePihDD9pQBl39lF8SG7Hdw5h6yEMekjyZAWoAF+VLOf6Cf9VnwIwdWcThA5QnQyBEe+xMP0yA8YhnvsYYlC8PfwCSSYm4AaBoi605KsMunfea2BDZOXZTV1/EDLx3U36YZfgD9r4UTXJ1jz+U+FK+nX8xYQeg6VSiS/6VTaPLz9zqVrdKZEtvEt+PniOb9A1+fs9454/Igc/UrvFgDPCv7Mt4cbQocOihh6bDDz88+U0H12ioz84k9fHoWPSvjPp4xaMtXq71wSQZHbYNCMME7AXIZSv6qizemwl941FeRORtahHh8rIXwekXbf0F7NEyrvGhDRMa9sb20dK2+yXBKCZGiBpLJimPecxj0jHHHJM2bNiQyJld88VoioOejvEBbJuvIEf+Wixg42Qj8QnGFttzj93y4fhyT0whfzzxLfSPR/FZbNKe+/SNv5qGK4G5BvVEaYBxEmsXHtkzck6A8XEgxcEKjgYQY2S0BoUVQmCdwaIjCRaOjJ3Rc0wApjbkSwaBASPoGjRAIlDUD5hAbxZSkSNenUvl3AqHVRMyIj+ze46QXF0rF9FyeM7VlZy3JzojezpURmqWcc2RWCXgJAVnOiV7IMcKgrbViYjsbNGU0JSc4w0tiT4FBvfWr1+fv+7zuMc9LgMNdDhkgJYz5NjkSRwtm+IIBUjODnDlUPFgYuB+aUudZtK2clIzH39sVJ+0iT6A5dqkwXaw5zznOcl+bbYpOAFjAlO7HXLW7FTfily1BYAV3binTanwpJ5gLmCgD+SRsydZgBLQSN94EDSs6pgoCaDoS2iRi7HnOqKlj5RS1ot8gYsc0QTyPNq9z33ukwFskx+00OgmAbN466Zsswy70u9m3qDnAju7AHromZzkATBoaw+IJQMgZN99981fDbJPVz+UIQcpIvKXNMiUTTiSN5uwuv+oRz0qfy3I5EHABaz4QbqOCKRy/XZZAl3slK3xh7ZI7LPPPnlCkist/McPskEgg+9jM+10Ilr8sRO25b5ErmxQnrRALk8sADk87rfffunoo4/O++rdIwvHksjNFgK+1gSJvwW8jVtjKyLykyq05emLc/fwGRH5q0Nkbqumdj3tshKKZlr4K2NDPe0tZPX8D99k3U1FfoRf0W435YddxljlL4xBCzBsia604+haf+jNOVmyQfIkH/eUU15e875z40++MsorFxF53Luv/47oSOyL3QCR6ipPF45SRGuCzC+yeb7QfRM95bXlupR11LbkvCQxnQ04ihWAvEmJ+myB/vhvkweLefwdPiXjk5/SvjED7KJPPmSIf2PWUyV+WZvoAtOunavr/T6LhWRgki+GsVmJL9DGIx/5yPxVKGNb/8jeyrt+G6cmJ8YOeiax/LOJP5vSH4s5/DKe8CFFtOQfES4vm3y4oCNjSn/wKUVE9ieFhjx8SBGxWX00ahqeBOYS1BvABpNA42gVQQDjuM2OgTAOS7mSDAqDwEDmrEp+MVKDFMhArxg3Y3fO8TBu1wYNhyhwWsE0oK0uCNDKDk+100FJnzg7wdm5I/kJ7sAw5wjYcywAhTLFiZEluXFMApg6nBe9kSl5khuazums1NGmukUK6CoLbAreVuz8AicwCMzixbYSYF9dtOgYbQl9+c61jbZrIMuEEE3OkONUBo/qaF/bkjrqytcfAMN9K/22TLADgMEKEMfPyXOG2lEPDeXlCRKChXblo41n9yMiyXNuRYbNcdJWo9SJiPwSrODEpj3dAMTYJd7QcjQOjI2IyC8v4kl5qzn6TT7Kahd/6uAVXQDqSU96UnrKU56SgE20vUCHnrFkvJG71SE0BUNjqegPbSs++qldgNCYKW0oq29sxaSEbtXBR+EHXTT0mSy6TQJpRCt4dVtHuabOXQ+a6FkQZqvkQ3ZWlvUZbfcAFbqwMiiwukeGUpEVe6QniYxKHTZBttpRlx2a3GrLRMLTIEAJgGBP5A+8kDE9o0fX7IT/MzbZGlraVIcu0PBUBT9sOiKS+pJ+SHTELpRRRx5eneuLNo1/7aNvZdBY4UvYkJVI/hsv6mobv/b3WtHVJxMkQE4+20FT/9FXD6Bio2RIl9rje4BY9sYWPRkAfvh6vGkLnYhI+qauvF4SXsmLPFeqRxcmFvhaqeyo7htT5MQe+SxPL9hfsQFxje24D0DSM5nzVXj39Ii+9ds9cnSkb7KkD9fk4Z5+lLJsDG338WGsesrCdtV1HRH5B87+/Oc/5yObQkNSj69Vnsyb5bXHZ+CN7k1+2Zp8KSISWwCAjTn9Y7P0bkxpXxzBM3tBH98RLdvYbbfd8kcSyMo4IxO+y8KHcbTLwpNj9MUG9ciLz8YzObJRstGm2IVXT1HX5SYAABAASURBVAW0B8zri/bVwZ+xUXjQ95Lc8wQA1tEWe2bbJgV0ST7sWDmy0y8+gs05x7eyeHGf3sRA/si4MabQNcboWx3l8Ikf5/rkWHiqx+FJYC5BPcPz+NWKrf13DM0jOdsjmsGM0SrLaRhUQBgAav8m4BUR+TEW45fvMbgABmAwfAPMuYHLGcljzJyaQWMv6OMf//hkUONheGqdHkr6q/9kqI9As1UuL7RaMbYPkIzImbw4UoNfPbLkPARtDtzKr5UJeYKJIAKIC9rOTbhKHZMlgbc4Do7F6reXfxzpDDjlRAERTpujtxdS0PAYk0MHAkwEOCr02A1HymHSaUSku9zlLvmznV7e8lISp60vAAg+0NN3fQP80cWvlX39Ygcei+ofupyyOvrJ2bIbbeoDzXKYQIxAQG5kpS08OweA0REYABll8W4l24tXeFKWvMiP7eonkOfovjY5cuNB0LJfGTADxG0bE/S0rZwnXPjTpj7SpzZ33nnnZLWq0OD45cuzUuTc42wBhvPHuzb0n2y1a2UKTVt56J4MtKNtdPWPfrxwB0yQs2CIP7Lz9IO8yK3bxDYEsG7Ll3JsSLvlelhHTxLJ3Eo44BnRmnAAeIAFOxKIve9gbzh5sQf+i57plDzpim0AACZy7OtZz3pWss8ZQDapVo7egQ5PzYxFbZA32uyXfI0/9ABpNsFmvKuBlvt4cMQXuzJ+jAm6E/y1Y5wUGekLXZK7emSpTTbKvtTXtqd6jvYv+zY9/u37BXiAJqu2aLIlffVEVTvGgicd9v0a70CpMWYVH6+AGnu8//3vnwA0Ptl2HpMo99i0sa8OUGW7AlClLX1C08QBsJLXS+Kj6AqPy9XTnjFPRsuVG/U9MubzNmzYkN9D4Ve8BM//eepDV3RMRuTMhvg4cYDdGZNsj37JXmxgI/TOXj3JozP2Rf/kQzZ8ppct7SlnH96v4sPRUR9NbQGZbIT+tYkf/onu0KFLttgsr13tocdvwAZWwtHVruScbwCo+R59YyvkoV/qwgDHHntsYjvGkUQf4r3xaxUdDS/u6gt/bNx5AvDgBz84Twzpl/xMXNknnr3/ZawZN/ygPrM5WIJN8KfwiUUy44Kt80XGH5ngnRzQMuFQ1sKKPuCdj+RbyaDZV/6U7IxPIJ3c+Fl0yZbdiunGrlgKF5GBmE0/xqH72qZnsZr8+Q95dEU+NQ1PAnMJ6hkog37CE56QQYeBCdTb18w4DRLngCdn5fNx3vC3h9OjXo98OTUO3xE4ffSjH50/5WWAeNv+6U9/en7xzwAWLJ785CfnL4UIGl7AQcsqpmsDywCNaAXr4al38pSsegh2Vrg4fY/n73vf+yaAz0uA9n67Jn9yfMYznpHsg332s5+dnvjEJ+a92uQveD/2sY/Nn/EDcI444oiE1l577ZUOPPDA/JUYOkDLXnLlgaHiVDkyEzN6tTpvlUIe3T/84Q/Pv0fwzGc+M1ktwa88uj/ggAPyOw/uAeyc63777ZfYhsegytozD5QfdNBByTlb2WOPPfKP4uAF6NEWB8wObIGxMr5+/fqkn1a0rWyzAwEDLfX0C1hlJ2yILGmU09fGunXrEsdtkqJvAgYZo6VfEa3Hzg996EMT/m2xEFjYOIAA+AmagqjJjK/lACVkCyDqwy4Lq0cmnuSKZ/ohf+MH7/riHpl4kZwOPK0ocsevFBH5m+m2hqBj7OgTYCBPu8YKAEV3EvmwG/33uTx24SsZZCgoAZvOjSXtmyAIPAIGuRiLnhAUueGjm0RXgmpE7+NRwBJEu2mn2zJkRU58DT/RrMf+7BOmF3pmP+yNrtkCW7cliU8iK7oHgNm34I+uT+sZY/QMBB955JGJTtmKcWqx45BDDsl59uXygXvuuWfeYiN4K2us0is67JK+2Jw8Y46N05+nNmwbr0BA6Qt5G6+AEbBlEsrO6U99/VOfnbMTE0G+U39NErXLJord0fnatWsTP+yLH3w9PskD79pnM56C4J2MTLDxzs+wfSDLVgrghK3yNdojC/2zwgmIAjrkqox2S5+6PQJOK9mMPmsP+OqW7qjKkTFZ2d5Br3wkGRlvttTRh4kPIEuubEZZ8uajTCqVZ3/8h3HLXvkfegFw+Rbjmk80HiMi77NHm174KPYJgIunxU/SL5r8EH+LLp+BLp+IFppiB7+Clq0y4hB/ghf2Te98rBjFr7FZkxTyN76MH+/iwRJoskf01DVejBvjLKLlQ9gFmeAZbT6aD2Xztmvyc8V+8IQOW5P0wRjFvz4ZB3ym8YqefPbHxtm7vvLbZEw3Jl3oKxcReRsTH20cyNeviMhbRumK/OiJ/MlVzBMvxTuxyTjAN79jbBmfytAJ+RmX+siXW5TRP/5HfbJB331+LSJGZaZzS3fNPPbcQGSkjNoM1yohJyUIcJwcBedh4O29996JoxdMAM+Sp94222yTBB0BwOAze0dX8OAMBLwSmAxKxs4hAB5WlQwoeQYqkJVW4R9nxokDaGQnyHP8nAKHRE7kZhWC4xcEBFq64bjInV44etecF2dAnuRMTxyJc0d00USHLiJaTgMfdKweAEAHnDF9c8CCNF1w+Jwfp0j3aHLueHOf89YXjlcwMQHEH97oU9uCA4ePJ9f6JhgAYIWOdtgHu0ELbU6dg+Ug9Z+c1JfQxC8TKX1RhmytzriHZzImE7YZ0frEHBCuL+7h3coSEKG90rZ2rZDjiV7wI+jgGV3yJ4vSZ3avzxw6mRsbZEi2ALrAj9f2RH8SEGfc0T09GZPGinv6JZEbHgQR+tQeGeOFXeiHvuJB2/Rk5cgqnfv41U5EywbaeVnu2niks+XKdLpnJcyTGMeUUqciPefpA7tjs3TfJEAGfEqRgbFjfNAHfbumH/qkV3akb2xCHgDAztgrWyRH+gbQBGW02AmZs0t+C53i/+hN4OYD6Ud7bEhdtm5sKWtCoh3XaChnnJW+kDWd0btzE1WrsfpMx8YA21UGWGQ3eCIXvBqD+lXokRM++Bt9wruED/yyM+d44hNMJvSFPNl4ydcP8QAfbFs+OmSCP9sV+BC0jImI3m1Nf6XCe/sRX9pYrkx7nVFfR0TiT8mKzsjEOdvhM/CMB3IlN7ZFRuzMPWPeuGa39Eeu7JXdGsfFd9JVROQ92FtttVVeDFKP7rVDz9rgH+gRkGXX+GHr6PJ9eAOylWcreGZT9AtoKs+XusdvsGW+B2/4Yt/Ggvr8Fh7ZhT5GtBZPtMGfak8/jVv3mwmwNx7xyp4l44n/JRdl3ScvsiAzY8UE2H191lcyNY5cyzfZVw+vbF580X/l2D8abAh9ST/gDnyyeXliBhr4RxsPzskA3/wM2ePLBJoO6M/41JZ8/SFL45y88a0cGbMN+UU/7kf0Pl7wWtPSEphLUL+0OFa+I3AAHxGLxgjASCvXXiwBhKHlGLFIa7HE/J2RoRQR+eW1iEW5lPw0pX/0CGzgsxcWIyKxg2bARkMqdJrnzTwOmAPljK0QLwUkIyK/PCooohXR2lMPEAE3nLZAJlgI1KWNchQA1JVKXr9HY6f0FS/OpYhFXbfTFrTISF08RGxeVp57EZEAakFXUAJc22l1e40n+uy2fLOclVeTi2beIOcRkZ9ykFcnOhGt++QUsblsOpWXF9GqQ670K4/9sCNPcGx5kCdFRLYfNh7RmT550YPynRLeI1p1IyKP79T2hw+gAGCiz+VkiB7elfMYH8/K60Mb2SUv1aVj7TYLRbTGJHlqxz1llJenn9qxSm8bBOAFRKGlbK8JTTaLfnvd5e61l53UNdkAhuTSiQd2U3TV6f5yebZv2A4CAALVFh5Mpthbsx49RURehS7nzfvt580yzXPl2q/lNVNEdByP5EBfUkQ0q2xxjn/2Qi6tm4v/s4MiMzLFj7sRkccN+iYMaKTGX0Tk3wtQp5G95Kn62mkWiIj8Inq69E/bEa2+RERuP6J1ndr+Ilq//aP9iM5l2qrUyxFIYM0IaFaSVQJVAmOQAOdpFdRqjJWaiO4cqVUXIN7KkqDJcQPAVoyaq6dj6MLQm8C/lSMTFsFxkAYAlX5oAMQAn+Mg7Y+zLpAK0ANQk+QbyLEiyB4Bl25kgHfyBuyBPnuDu6k3aBmgzDgyBpuroP3QNZbRaIIssvAksB8b7IeHaaxjzzXZWHCwfcdTwEna5zTKqPJUJdCUwNBBvdUS31Ct6UNpGmRQeVi9evAio8f/5SVHL3Z1o28vGXrpzyojZ2Bl2Utk6HRLo5t2JlFGH7z862Uy8hmEB7LwwqSXhHtNPhXnZbVB2h9XXbx6Yd17Feyp174Os7wXYb046EVdL473QpvOvZDphV4/1uN8VDJkG16GZGteHBzU1vDpd1K8HImul/bZnj65N6+JPXrvJ6K1Cu1FUWN8XuVR+z1YPDf5F/NWcxo6qPeCmhcmajoiVRlUGYzDBrysJnXblrJemvRCpJe7JOfyu6UxreX0QRoWf14881Kdl7h7Sccdd1waJh/D6k8nOl6wO/LII/NL2730cZRlvZQu9dOGr4889alPTV4k9DKfF2E79XuQPLptpkFolbroGYvF3pyXe/N6JBO+iiyk1eKn5lWfk+63J3mrGdDr29BBvb1vPllY0/tSlUGVQbWB2bcBq75+Gdcn6HpNVo2n1QZ8Ls/nAd/whjekXvtVyr/lLW9JvgV/4okn9k2j0BrV0edQTz311KS/06qLytfs+4n50eHs6qrTO2OA8GpKQwf19gR6E7qma6UqgyqDagOzbwO+1OH78L400WuyT1qdabMDX2rxbgX+fFEGj70mcvH1DF8JcexXRr2220t5X62x0OSdEy+U+xrHtOmi8jP7PqLqcDZ06OXg1QTgO/Vl6KC+UyM1r0qgGwnUMlUC0ygBX7Xw0qYXinvlz4vI5d2FXuuOsryXYn01pt+XDr286IstFnHIxUudXlI2SYjo7oXtUfavnbYvptCDH8nyMrAXMNvL1OsqgSqBKoFZl0AF9bOuwcp/lUCVwMglALT2+xUSL2cB9yNnsssGAHrvPg0D0DebjIjkR21877vfSVCT3jLnfd/ypZwLL7wwAfdAPhnI65vglFbUJxMXyXmTTdclNfOn4Zw+TMDwPQ38VB62lADboR/JeSnRfl3ylXGvXI/jyI58BYstaX8cbU5LGxXUT4smKh9VAlUCUysBq/UAaz8MCiyA9KSDi/bxYaVa0OunL1borcYv9xjbPZ9iVM43tftpZ9R1TLK8NPe73/0u/7aBa/IZdbvjoK8fvkKnf74W41OfAI58yRMav9rrNx36tYNR9MM4Offcc9P3vve9hMdxA8FR9GmYNOlOGibNXmnRCR/y29/+NklsjA2xNxNl48nX1AqfjsqzQ2Os1/b6Kc/Wfc3Nl6TOOeecZBLfD51ZrVNB/axqrvJdJVAlMFYJALRWoHttVGCzWg+09Fp3WOXxYGUawBOE+6HraQWw3s0TC1tyfOdfeXvZbdPpp81R1wFAPLUEO2kuAAAQAElEQVQARhwBgkHbJGvgZ1A6/dbX9s9+9rP05je/OT3zmc9MXvQG4uWzwTPOOCOdcMIJyadD2US/7QyzHt4AsXe9611JAhD7tdNh8jVNtIBi4HmSPBknPhXri0S+DHbyyScneT4/69O4PijgvPBpcnb22WcnyVgbB+8mhV/4whfS17/+9eRDBT6Ly77G0fY0tFFB/TRoofIwcxKoDM+fBCIiAaj99FxAniSAslomwPYb3Exoyh76Xvpv1d5Lql5WRaOXuuMqC4QD81b0gMlf//rXibz6kRU9W70c58pku5wiWtug8OJ7/xs3bsxFIiLpq8mL/pmk0U++OQX/sQ+Tzk2bNmX543UK2Jo4C+QAOAPGnmS4nhRTP/7xj9P3v//9dJ3rXCfd4AY3SF5aZ2d+V4Fd4Q+YNobk/+hHP0rsrx/f0W8fzzrrrGQSe73rXS/d5CY3SRYWIqbvPZ9++7dSvQrqV5JQvV8lUCVQJXCpBIAgK9CXXvZ0sN3BSmlPlYZQGIATcPtd+QS2Bg3KVvd9bafQiZjOIAswAfhA1C9/+csEZFphBFAkMgT2JeeS8iZstiNYbSbviy66KAH3f/3rX4egwd5IeEpy1ateNd3pTnfKoEYf8KNvEhvceeed081udrPkyZN7gLTtCn7oiZ26Bs6Ao69+9at5pVUfcaK8JwHKA3jK//znP88ro1Zp/WiW5NyPc7lnQvnd7343fec730lWcfEgz4/gmXiYBLGNbbfdNpUtW+SuLhpf+cpXEqCoHh4GSXSmPbzgH5/aKe3pt9Ve29TYwLe//e30wx/+MOHBOTnos/6cc845Cf/O9cc4A77lsQd2gm/XfjTrJz/5SfLUTj69oKd/yrCXjRs35ra+9a1v5Scp+JL/mc98Jn86FmD96U9/moBr/KCpDJ0MIpNu6pIHnWuf/Tz4wQ9O9773vbO+yNO7NF6WZ/9kwUaA+ite8YrJBMAkMg3hjw2jT876T1Z0Qq7O5f3iF7/Itm0M7LDDDiliOv3NEMSxBYkK6rcQSc2oEqgSqBJYWgJbb711ssd+6RKd7whGAqNj5xLDzdWOAKtNQKYf6gXQm8z0U79ZJyLS5S9/+QTcO/Yjwya9UZ8DXsAbcGYFH3AB9oEsgMw50CtfHlDY5AnQct+xmT+ucyuVgDv+gR3ABxjSF58x9QQFSAbkgU4g8aMf/WgCIP2Sq98v8Cu38vwWgXL6AlACvgBe+WVddQFU93yv3e8f+GXc0047LQFZ7BB4RoesyA4NYFk57ZgQRUQyKWG7ALDfFsC7X9b1y730kQb8oyeA8JRTTsnbM2wbAaZNXoB5Ew1bTGzbwJvfT/CLy6effnqyvcSExWTAtia/0+CXmG330H9yJCcy9CvDxp5zsnLUZ7ajr8przyq39rSPPtn55Vi0ycUESzl11bMajhY+6UlfhiGXIlay5y8cS56x4EmWCRnd6TPe9IW+AHe2pb8miuriC5073vGOyaS+0Br0qA1ypgdyZSPO8WKCQ0Zs3LjU/jDbHpT35esP524F9cORY6VSJVAlMCcSECSA3X66KyhK/dTtpY6gCsQJdAJbL3VLWStrHl0PA9AXmo7o2cYECJggyZv2BNQAwAChFUEg1TmQu5x8reIDIcqNu48mTje96U2TFVSgExgEDH2r30vMwBjADyC6R99WVoE1K51AJwBniwXwbTUawLRa7NoYcA30m6CV3yoA2tG2Oqu+snTtvQrtk4dVcu14+Zz8AH4TAnImJ/arLvp+D8GYAeqthLunzCAJQAWUrZDbSoJfe/mtLuMJL4CiMiYsAKuxoC9ApAkH8O6+J3dkBMSafJAjHk1mlAO88b927dpUJlJokiMZSt5vQBtYRZfuyNRkQ5/9BgQ+bSchS/n8kN+bMIYihrMSza7xxibwb/JCD8CyJ1W777572rBhQ14F/9jHPpYnbBGRrNzjY9uFJy1F7/yPazIFvsnHeBhEb+qiYyLkyc5tb3vbZGzRHbtz7SkVm2GPZKXOPKUK6udJ27WvcymB2unhSgAAEMAE3V4pC/ZW1Qp46bV+t+UFZ0Ck33YADUETEOu2zV7KRUTSBqAk8I6qnV54GlVZoGMcOm/nn50Cg8AN8AlQA8Y3vvGNk3cclLd9BJAH4oEw2yeuec1rprULAJRuHvjAB6Y73/nOiY4AYavmwKdtKa6V98NL22+/ff6cqdVpfV2/fn0yodAGMEi/JnPs0aTIBMGKKtDoHjrAsPIS3v1w2G1uc5tkEmByClyi5f4gydgFNoG/293udmmPPfZIJjqAvL5pC0i/4Q1vmPukrG0cd7/73ZPyyuDPxJQs73rXuyZ8muSZrJCNPgGW+gqUA8n4J3f3TFbIQFl9ISsyxtstb3nLZHV73bp1+akFGrYkGS/uk5NVaBMIEyJPvqyOozNIQguP5amEJxEmbLYHAdF4ZU977bVX2n///dO1r33tJJ9O73CHO+StOAcffHDSb2VNdtx705velE499dTkyQj68gbhky2bKLAZkxr27doETZtkRU4SWQ/S1izWraB+FrVWea4SqBKYqAQEWKkfJgATK3f91O2mDkAPSAjS3ZRvL6NfowT0zfYiIgm+gIljPxOlJr1pPAcyrP4CguPmzyo9wGkyCdCzC7IuIBBgtnpqdXXvvfdOj3jEI9Ld7na3vE0Kv0CRBJDjXX22a9X4fve7X3r4wx+e7nWve+XtaFa2rZiaBAD5pQ4QxxYd8cH+TTiB01133TU97GEPSw996EMzGIxorTh7KgKoAcPAGgAJsKGBj0FTs2/OTVBMam50oxulPffcMx144IHJqnR5osEurZ4DtfqAD3lkIwH0ZEnP+mS/+UMe8pBkwkOm9GBrjdVtgBe4NSlQVrl99903g2QyQ1eyEh/Rerm52V+Trb333jsD/uc///kZWOO9Waafc3ohC7w/9alPTUcccUR+IdaTA/21ZQtfygDUwLt+0y0ZeArhnlV5srrVrW6VTBhNYKyg07lJpEluP/yVOtq0Ko8en7F2YQKqfX6Pbkoq5eftuGaUHSZcCjdA25N89wdpnxFSpGMnWtpw38oBx9VtW8pyXOpLZsrytOGcUTLyJj08uKefyjXvzes5OZCH5LwpB9dkJjXznZMteTu6Xi7RT3tZtNV1bNZ1jRdJvfYyrt2Tyv32+vLdbyZ56jbLupa02cyf9nM8s2OOs8m7PpLztPM/Dv7IiDyAjIgWCNEueZV7jq7ltye2IyDxI80y8geRMVr8nVU8Rzy2t73SdQH0wMVKZZe7r/+d2sejfPeb9bUHrEh4iFiUa7Ncp3Ny46/bfUlpiyyUca0cuXeigyc0lOt0v588fTFBAtD6qT9oHSDLqjPQDkhaAQa+IlrylY83q7G26FiJt/0CaCInq9biJ3/giJYJgf3ftozYomObhmRvum0YVk9t12CH2teuFWwr83TBvwCI9j1bCfYEAT3gj36UUdeKrO0rVuzZTMnHyyByYQulHeMQbavxVuv1w+THdiBPEbQl2aaEX4DcuwpkIN9kAC1gHrgkI/vNydAkx8TE1iYva65fvz5/lUUdZcmYzGylUZ58yAYNfXXuiH5EJLaJnhV+EwiTLxM2PJHXoHbLDkz4TKA8NXAOjJtAeBphjAL4nlR4WRZfO+64YzI5ow++i9yMI4CfTCIiTz7wZkIAfKcB/8jOhMiTFfIgN5MMNlXkRa8mOngZsLmZqz5SUE/pBvR5552Xf6iA8RkYBojZt0FB2UtJbbl7BqJHhpyBl5FcN+lQJofE6TA0yjcommU6nWsTbwaO+lYmDDq8cwb2cxmkDFhZCR391JbBpm1585zog3My4OjJACuycs81mbrPebknkTG5q+O4lM6UpQNlODTn5C3fwKYH9idPkq8MPWmTDeIPL+7TmXry8eWIBgesnvvoccTaY3OObAU9/VGm0HKtvsAob5hJX6Rh0iy0yMQLWBxmkY17dEQujqWf8ucpkTlbYEP8mABlpYgMyKTYj3vscindy2ffbKjI2JEtATbo9Zrwxua0yx6BIbbbCx3BGajWL/R6qVvKqsdG9I39G8/lnnN5xhZZkVm55xgRGSDgAfAEAuQvl9AwDgFAcm+WJVPtsWc6ozsrhWJBs5xzdPBNdo76IX+QVOQJLA1CZ9C6VoltG7G6vssuuyST0UJT3rp165J+v/KVr0xefAXexDhyANwBfXYFzFmBtd3B9Wte85rkpVh6sj+c7VrZBtJPP/30/Ku9JgHyvXQrdtKB2Ao4Av+2Zbz61a9OJgFsgn+lR/x4wgGceblWHffQ0Hbhv5+jcWL8acdkg43gG0jWxute97r0/ve/P+EVMGU79v/rI9sFcOlUPSvR7In9kCMwa/vK8ccfn79QQ9YmTOzOuLJyb5Jii42jsi960YvyZyL5XsnYJWs6KHyqqw36YM9nnnlmpk8f5AjkRrQmav3IRB0TMDI3EXWuTXRtUwLyAXo6P+6445KJizp3uctd8pO2MtboSVlPNPhGEyXjWX/Q03+yU7ffZKsSOZODLUImRJ4OAfbwIPvQHt2wqX7bmdV6IwX1hP3Sl740vfzlL08vfOEL06Me9ajkcdHLXvay5PGOl0I4+k7CA+YEJYbc6b4A6FEfh2DWqHwppw7FMjxKNvO2r4vjKGWWOqrLGMzYDUQvuTBkBqQNe8g4OcYiAXpooe1RIeCjnLx5Tueee27y9r5HeIccckg66aST8i83CpYco0eRnLU3/e2148yAHY5DcOHs/HAKp9vJRkwIOXjOU/ARWMib/jz+M9jpT54kn8MWhB73uMdle1S/6I9TsjLDVj1S5riOOuqodOihh+ZPi7FFdF/1qlcl/PlRC87/yCOPzGXYhSCgLTQFAPbJluT1mvBLHmzMxLIkgUTAY99k0CvdlcrjWx8dm3ZMPoKXsQBErUSn3/vTXI8uBFM/ukIOAIegFxHZtvmbJz3pSYm9v/a1r02Cc3t/6HXjxo3583hABbuVpyzgc+KJJ+ZvibfXW+kab2wELf6Qb2XvK9Ur9wFQK8r4YVfGlLFa7nd7xIcxffTRRyeyQqfUtejxvOc9Lz372c/On+3rNK6VFfyB+rL/WN5SSR/tLTbeBXL9L2WNFTrxI0ybNrW+fW6BxzhvllM+IhIbJzdxC5CT328CjMhTX/qlMax6eLGC/uhHPzp/eajJE73bU87X0tkBBxyQ99DzgeK0veTqPuMZz0hPfOIT8z5521JcH3PMMemRj3xkAnLtpeYX1bctx5YTq7j2Xitni8ljH/vY7Hfvc5/7JNtz1OFnjRl5wBoeYQVbeiQ88MFPeMIT0otf/OK8/x1oHEQ2gDYQqG08WOE1joF6vOobPqyCkx097rTTTnk/Pbl42uGecscee2yyn1w5Tz0OOuigjHHwSw7ALf733HPPtGHDhqSfgK39+o95zGPSc57znCzX+9///mm33XbLPwomZpp8kaH76JDlYYcdlg4//PB0yfaC4gAAEABJREFUz3veM5ElftGw19+q+iAyWakukG8yZ6sUndKndj3h4DP4CvHC5PHmN795fl9GHSv9bIS81CvlV2pvufsmCrYI6TtbxBMbNPnAIzt5ylOekm3ME5XlaK3GeyMF9ZRqFnmPe9wjOQLiBE/Rt771rbPiOXbGIJAARZytJMiZxQMvykhAjsT5cvoGJ7AlT52iIIFEAOHIzcAp3CBRvrTDCJV31D4a2pBn9YJx4tkqB5CGprIGMOdjNeOMM87IgQvfHIPBrn+cJn7ko4tfdR1d40Gb8rQ3a0ngtvogkALGgqe+6rO+OEoGH4dEniZFVkj026oHQMOxmV0D8oKpI7BvIHrESR/AMjCJbknkaEXAZI2zaAZ/uhK4TRisGKGhHlu06kJ3ArZgxhFyxu5zTHhhVyZo9lYKZgCsrx2wJSBOPkficSobABDYGP3TO1rKATTAjUkJfuW3J/pnD2zLpEZbJoX6iwfjhZysegIvxoJx4ZG1CYZygIw8QF+/yBhNcnbUtnYkeWyv6Eqe+8q556gf8gFEsiv5Vlc4ZHLUNp7a+7Par61isRm2Qzdkw25ckwf9Cb4eV69feNSubFMmZG+SxzexGf6I3unVo/qyKNCs49xY0hZ90B09Oacn+jP+tI++67Vr1ybBTRvqqSNfefXkuZbci4jLVm+NQWPOkxrtqKO8csrjZ7nETvhNftk40F4pzzcag2yczaNd7pWj8tqT5AFwViOdy3O/yMM1X0GOeOOX8CkfbfoCoOSTjbEOnPE7Ea29yujpp/ru+wSk1VH9x6N2e03aBQSLP+i1/rDLR0RiC/xwJ56spAJifBq/65rc+Erxjx2TmdVRutA3clIekKUj9dBge5Jr5cQAq9Lr1q3LEwJ1rN7TmRdyYQEAXzm+t7TLVvhj99gyv+vc6jb5ppT6FhMZ8GW+JAN0G7/yAHsvvuLRka2yNTatPN7YNhkoSyZoiD/FD+gbbGM/OV7RRossyY8s0ZO/dmGcKiuGKeseOSlX2lOPbOiPTF0rS/5kIo++xKK+BdJlRe3gD7/axa94oLr+uy+f3iNaTw3wjWe6069h8IkG+yB7sqUX+mAXbFF77BI/9Iq/eUojBfWUaDZ5+9vfPr8EYyB77Max3ve+980vkQAhwJe9ZQIb8CI4evxlhcWLJRws8OgcoHHNmRtMjhEtA6I4zhnIARwBLg6a8Rm8gKDvwQJ9gg7Hr30rZ1Z7PMIVIAUBjp7xcGr4RlsAFhzUwasVZsDWXkRBXh0BBQ/6ITiesQD8AULBxuq1azzos7LozloygDk2zoksrUjrK3BCphGRV4ToGQCmfw5cPaBb3zlwjo9eyNskAeChYw7LwOQgrJqRX1NGdORpCSBj8oVWRMsGrFJqAygFnuhf3YjWC3kcMWfNKbAfOnafc2InHCib4jAEHCCXXaDHiVrh0Sab8MSB4/CSl35wIIIAsE0OADk+ldNGSe6xFfIiP302QWEX7AoYUoatsXWr5mwXndMXHmt72uAJkokDuRsbJg++bewJhwlUsWkyJQ/2Lk8Z4BEtoIW8fI/ZEy1friAH8sQrOavDZulAkDWpVR9f7Fy5eUlshT2wZXJq9pucPBliF4A9YMA2mmXIk/zlCcwCO7syoTUpK3J3v5lKGXpmC2yF/Pkh+uUT6Y8tsD32Q7fsz1jzyJ5PZAPqKctfGRvGl7FXJocmsJ5qaoe/0oZJHBtQdyWfxSfw8QJ7u4zYD9npd0RrvDb7yZ7wqT3jgl3iD/DWJ2PJpIMc2bt7xoi2jFk2bfzIV56+BHxg3XjSF0k7EZF/BEmfjCPjS77ytg3wHSYfTf66OdcWfrTdTflxlaGL5Xjim/mviC310onHbstHRNIuu0DfsdCLaN1Dq+Q1jxGR92O7HxH5ZdyI7vhLff5FRMKnNsUX40icYE/sYyWyEZH5RCMi8o8eoQVwlrx06V9E5LLkExFppb+IyPJIC39osTW0I1auu1Bl4H8RkXWp3YjN22Rfxo2xjafSWERrSx1wr58lfxhH9Mg1YnNehkF7lmmMFNQDSYJXu4Aow0yU8gUPoAnIEThsazCADCZOOiLyY2zARz7A4lxAAqDaabuOiLwfzrm2BDPOXvAEcEwgBGGgCkji2AU1YOmss85KeFKGU4+IPDAFFkESiBdwAHz10TbYBU+ASiAUoAVSdQR6tNDUJprq6cdKARL/05gMaoAbWHcERugDKAVayAC4IXuyAiI4RgOQo7SibJCbXQPYEZEfx6NBx4K/SQOATV4mSEUOgjP50pdZuWDOoZT7AAHA7skM+wFYyj3HUjYiXG6WIiI7TXqjI4BX+/jBq1UaQA1dQMpqukehVi44s7TwxxZMJq1amdSQBQCycCvhnV3rv4kroGzy6YlUATAml8AL4GJcADlsDZAGNIAxNky2eAPklCM39g3sAy6FR30A9IwZwMXkkk7YqnsAkK1RxUbxZlzhVdvGDVrGKlmbqOPdPXzo1zwl9kMWzT7TBfvg09g6H2Hck2MpR55ka88ye2L37rEVtgzsAsPy2hMbMnGmJ36ErjwFonv6cW7c8Sl0Kl85NowPoJUN0L08kwM0TeKAA3aIL0d2p4w+sTX5fJx7wD46bLydx+Z1RGSwErHlGCM/baa2PzS1IwZYzNFHY8MWPuds2gTGAgpbx5sxyGeQrYkPm+SHTUzYuzoRLR74WvctFvHDfAp5kY+JgXaNO2Of/1C20G5jdclLPoB/aALXJQvXG1MvAXZqgekBD3hAXpQU9yJa9jT1zFcG51YCIwX1y0mV8wRGAAyDxdYVzpkD57AFOcDOozsBUxlBk+PnlAGqZtAsbQm4nLL6QKHVVZML7aEjmGqX8+fUgRqOGDDTHpqCAYcOgBW6ghEetCvoCcBW8a3cAXDaFfAEReALqBdITFYEUe0BnOiqpy9oFvqzdtRfwNwWFVsNzNL1GTgFuulS/wVPAZIM5JOdfIGP0yxHMpfIoeSZGAj2dCe/JODIBIveSp5yJgzAB0DikS3ZAwFAMb2Wsisd1cMzWlb2/RS2yWlEJABAP9EFcO37FMwjWntyAWBgmy15EqG/9I5ndu3IrvSJjDylICOAmc26D3yzM4BNHbJGVx7bwYsnCRI65Mo2gTZyBrYlK4ZkCAwB+/plImYM0BNAQ1b6qQ9Wl02UyMoYQQtfHhGb0NCLiZm2tFn0tZI8V9v9iFZgL/0iY3uPH/SgByUggLzpDtAsZdg8WwC6yZ/cgVO+LCLy9kR57FhZtlHqRkTiN0ym6IHdm6xqg87ZBV/CVvk6emZTxqSy9MSOjAP2xi/yherYAkDfJiNsm22xQ0+elDdBcWRn/Bofp1zhbVjHiMiLJ/wnXtmj8UVGYgK+yYXdGVvsEi/u44G8+CP+nn2a1KDjXknGkfrGkvGtP+gYp+ye7NGxSKE9/qTbvmrTeOPTSnv1ONsSMHZsGzG2bTthd7Pdo8r9PEhgYqCegwaqOWVBETi26ivQWNnkYCMi77sHZAQigQogEoQEs6UUxLFKgiRna3Da6waUCICcO1oCI6cuEAI0XlaxvQDgFlQi4rIm0MKDwIEO+ujIl4dH/RBQASIBXRDWL45BkETMJAIg1K6+ypvFRD90BxgCofoNVADT5BkR+dfzrFbbsgLoKkdegKFgSYfAAlkKiMAOmQCk8t0nUzosMhJ05Wuvma8OkFNsA01tWQXFI3srNDodC033tBERCbjxcpgXydiQe2hZvUTfuxpAkPLqs02An2xMPvHuXpnQ4dE1OvrpPrvRDuDMBslAObbjCRI56BOwqCzZFbsDeuQVoIIHcgXGAUv08N0EP+iZ9EZEohN7EpWxpYj9GyfaM9k2Pq0q0yubx7fkHPiiA9fzntgCsM3WvcBlgcDYoMMiG/YHXLtmt2RMv8aE1Xq2a2sJ/2SlnQ0oK9ExPQCfvjbBRwHs2pBvvFn8MGEz0eNz2ElEJGAEYEVbO2yBrundYgTgiy92gyd9kdiwiTMegXo+zotx/KJ7+BpmMh6AaX21YMJ2vVToCFyTpbEjAVf8hXGAh4hIrvXJEzr+hrzVc1/iC4xVbaDB9sUAY8FTRH1TX9/pRxk2bkyrv1xSXvvqLleu3ps9CUREfnobsYgFUu9/tUaVwNgkMFZQz1EKHKV3nCDHKTi5J1BxjuW+I+cMoAh0EZE4Zk5dYCm01FW2meS5L3HeVqKszgBQgqAgIpBZpRS8ABTBrenE0WjSdK6eY0noA0r4kacOnp0LsPaUC8L2ago29tsCXR4dC1TKzVrSPyuHZArEAgyCo18f9K4EgBPR2n8HYAARACgwWEAInUsAg/67D1ACD+RCFwKv+k2biGjRBVrIXV06AKIBUSuPJlDqmWBERLKlRTt0o6w6zh2l0h/tyTfhAqLpiq0ABOqxE9tWgAUgwGRNeW0DP/g2UdQP/dxmm20SXti41Xo2pr2lEpAS0XqBD11tAv4APxtCt/Ci7/hkVxGR9B1dZU0c8Yh3coqIZJKJTzTRlq/fztUryTUbV1d5+gU0i30rh4YyEfMZ6MiIHEpybULFfwG9QCLwGLEoH7oF/siN7siQPSgPWFtZZkNszCTQvUK/HLVjBVldbUW06Ee0jqWcNiJaeQUke0pgZZrv5EM9EfKFL3bBrow7OkZbO9rXlnMg29M4P5SDHrvhO5UtbXY6qttLfrOsuuzbJJffiGj1B1/ulT5GtPJLXflsm/zJVtlyL6JVVh7exQVPTvSHTti7fEkdtCTnSyU65Z+My6XK1PwqgSqBKoFxSWDNOBoClIEMQE0AcxTkrBQBLYKZ1XmgCBACqAQfztfjaYBIEOLQrWBxxgAYmsAa0MQx64s62hPE3JfQB97VRUMd574GAFh68cz2BO1YycIfB69NQU95baLpvLQn2CiDd4901XHfxAFde8wF6wJ+rajqm61GgiKaeO47TagiGeoLOXiZ1PYUq5OAoCBHBwX0Wx2kc6DBShj9ejNd/90TVAVhcgE2rHba72siJ5X8ZlcFbKuP9CSfrO2HZT9ArhVN4NYqH/uyp5iOyNvEjo7w54mKCRZADOCgAVQBaHQt0Ee0QLY69i3b264vntqgoQ76Jg4AsHoAvcmFiQobB5aAfW2zU/KRnJMhu9EX547AFPu3go5m4Y3NmwizbzJim/qLH/ZnEkN+bB7QAGqAEqANOMKvCRg5AYVkSAfosWP9JiO6sY3BhMSTCXu28U7v+mLsqIs++c9LAvboiozoib70XR79eqeBXlyb5LID9yW+gk7oin4jWqvoPlv3+Mc/Pv+CpUkke/HpO/pSryRy58Os7NMjwGviig+JLdAbHbJVSTvq06Mxgy8TbADUmPQUy3hVzxhi+87Zg3NjB8/eO7K/nS3qs0mjp43kgH4z4dMY0BY7RIvclCl8uqcue5LfnvDC1vHnnI0bT2RigmnM8un6qD31tcGG+RP2rTz5awcP+DZGnLNfemC/xpbxK87gFx10jU0NBlkAABAASURBVBt9J2f0OyX1jVHy7HR/1vP4P/IjL3IZVn/ojA2gyw8Oi26TDn7RNy6Miea9el4lsJolMHJQb3Bx0FafDDLBT+CT7wsnwJdA9YpXvCL/pLBrwQ3A48S9HMbJCmQ+d2hLAEDpcTXQxxGrrwwHga777gEwwBznxPEC7l68MtDRExQFUQHLN8kFBaDJPUmQBvwECeDNtTIAjvasWjk/+eSTM+8CIRAkiErAkO/Y4gdIExS9qCW4CVT6OIvGJdgDzHvttVcC/oB5wU8g1B96NqHxvV2/U+Dc1iryEgg9IlfWXlm6A37p3RGgkQckc8bKCtDoliSQ2iIl4AgQwA65krOgHRH5R2wiIgEOdOQlaIHbd6uBDnvKfWv8BS94QfK9YSCFnQIs7EVZIIBNaYOdAfV0DCBoz7fIfXfbt+3ZmZe8gSX31QOY8Iweu9CmYCaPnbIhdopvk8li2/pVJr3OfTeePNgMGemjJ1f6bQJpHHk6YtzYbmFllV3TSURrvzb5Ku876HilD/YH1BgP+u2o3/qKN3ola/3SPrkBivSiDeNTX+Yl6Tdb4hPIiL7omd3wX36zwHe1ycMEC5B2LrF38vL0jg2gZSyQLzlLJrzApjz6V0/ShjHFfxgzVtzp3eSY3fBJ7AhPdCgPT2yVvixe0L9JtaNJtPbQNj5NVPk4/dIWYO/FUfbrRXD39csEENAF8n0/22IFGs2kLl/Jph3xYQwqw+/zyfgyxtmT/PbETvlq+/nR864Ce9VnffP7EPy/e/ShP/w7foxLwN7kVr54Y7xoVx2yJy+TLPKT/9znPjcpxz+hY/yatJqYKdfOn2uyIQvxwvVqTHyACY+JFHsdRh/5PTYKD9Az39iky/6kZt5S58pJne6zDRM/Oi9+vFO5mlclsNokMHJQL5hxxvYmA3dAkG0LHK7A5ZvOfvjCjyr4MQEvHnKsVmg5b8FEPgB2wgknpJe85CXJDw758aonP/nJ6bTTTss/gAHkRUTe/wZoPutZz0pAtbpe5vRjDb7eoD4Q5ocnBDg/6GDioOw+++yTgCE/SCFPXfupnfvBGQATT4CgPawHHnhgMtHwQxPomDD4YSO8qwsMyfOjCz7t6Uc2lLXvVhLE04z+0Sv9RbQeaTe7YRXYfliAgVysRNp6JBBGRLLK7YfI/EgPGdI5gCMBPSYD7pMXIKutQj8ikskY8BoRCYgGMNkD8GtfMTCrvIkHHoBxchfotQnYv/Wtb80/guOHcNjV0572tOTTlH74BHDygyHsVtv6abXbj1qwYTaJR/bHntkj+0WDneCNfeMB0GZryuy7776p6BxdwIq9uM/OyAFYMlbIwRMdgMOPurBfkxuTRfLUNpBmrHha4gsNQCRAuN9++yUy0QYeyNX+f22RN9uzlUL/ACb9sZ8+IvIPzxhr2sWvCQ87Nk7RAu61i/5SgEe51Zjo1BMp4//1r399MqYjWpMm/sYvQ7IHcrNKXORfZCGPLwBqAEsAx72ISAA/HfrxGnnNBKAoS8/06LcftM0WHE0u/ViOiR2g6cde2BEdm4CbKNAvvbNliX2ZiPjBKzzzcWzaj8qoyyezSfbhazQmg3wa4KsM2sZ5k0/nbM1EgL2jY8JJbu6xGW3wtZ5QAM3y2xMAz1/g14/98NP6YDwYu8bhMccckyym6KutcOgag7b/kT/ALibw6XwAOuSmLl9g0uX3U4x348t9QN7kyaQAD8ZbxJb+jR8j59UM6OnEZMhClglamZjJHySZKJic0p3JqaeVTXoWMUxOm3nt54C8MaGsBbL2+xZh6JCPNwHFf3uZer2kBOqNGZfAyEE9+Qj+ggFHaXVQMBDwIiK/4AS4cfjAWgE9gJl8gYpzFsCsOHG0joChoOAcOAJutBXRWqVFC02B1Cq5slY51UfTUcBD24uAggBApF11lHHEDz7QE3jVA/D0wX3to42Oco4Cm3sCGrr22AoC+q6M+gKI4Irn1ZboVp+BvyIfspOvr+yBzsiBHsk4IvLXL8hOHlmReQEE6pWkPp0Bz56yCD7kDqTSdWmHjrTB7tgffdMLntiGdiS6pkP6L+WV0442IyI5d48dakd5ST/wj29t4JkNRYSq+Ud99EUb6NN5ROS+sll8u48G4OIcHTT0RZtsSFt4ACjwrB1tRrR+WAa/QIbknvqZgYX/yAPgRwvv2qQP9PAkjz0CNIKs+9pwDy3yIksrrLZE7LLLLgmtiFigPj//Ilo/0qTv9Emmek8P7AlQlk9XTfkrI8lTxn0r4wCOfIld8BFsoAAV4MW5skC9duiJrrXNFtgNn8QOjRX6d86OlKE3deiUXWlLwgtfxLbUZ9d0rqz+yUPbtfFjvKHBltiIsa3PaDWT+/qgPnrakacMfvVdPXTZn3xJX63aoq0P7rM9fgQN8tEfPpUfx7vFG32ST+7uaZPdagsd5/qDDvk61w809Q+f+kZm2gc0jTt6wgPemglddIzdZv60nQO2ntKwMf6RHcnTR+fyyZrc5Rv7nmLId25lnr808TH+9Vs5NG2JQgMtdglgl3omrOUemaDjnnx02TAdlHuOEj7waSushQN10Jeca1Pb2lPOZMPTJE9qtI82/pXDJx3Sk/YlbdRUJTAPElgzDZ3ksDng4vwLTxGRwU9E5BX4iMXriEi9/EXEFjTSpX/ab2/70lsrHiIi89heMCLyj1hEtO5HRG5fPwWEiEir+Y88N+trh84uJfeIWPI71+nSP0HYyrunIpz9sFaSLiW/4kEQ0q7VIkfXK1bqo0DEoh2V6hGxmc1FRJZXWviLiHweEan9r+jEsf1euRYgbYto75OgKVhasQeegMVSpx5TlrlxTbbsHniJiM1E4x65WXkGNoEqMt2s0MIF2bsHHNkKYvsDgMXGARzAZqHYiv8AV+0Uvoy3ZqWIyD4pYvGYFv4iYjP7wre6EZHLA/TGnslFGtIfOVihZX8mJ476GhGXtRDRGgvkix8ponUfj0A6OV1WoYsT9dAzfgFIfNCPiQe5NUnQaZFnM3/aztkHvwT0eupoq57tTPIk3/D3BS9bmdgZIGw7jO/7++0CgNnk3VNQ25OKXtS1HceTFvRsa2Grtll5GoqGJ9MWWjyJIlNbYDzdfPvb355f5scbsE2WZF9khw98qu/JoHbQ1zae1JenPTx5emS139YwEzFt+y0HW7b0i22YXDYnjqWteqwSWM0SmApQv5oFXPs2GgkUp221DrhoD8CjabVFVWASCAU5waiVu3r+16cC7EuvgFErdlZtBeSSX49bSiCitaLfySYjIlkBtrLsaUkT2BRKVhbZltVNtmY12cvotrVYgQdCS9mljnQE1HRTdikanfIjIln1HjZtcrDibnuR7T22GpFPJx6WykMD6F7q/nL5Ea0nvJ5ceEJgZbpZ3jUwOmx5NtsY1jmbseUEGD7llFOS94VsR/HOhG1UxjLAbjuqPOV8JMKEaOPGjcn2O6Dee0DKezFZfdtZ+D3y8XEBQBto914OgO29JZMxP6ZnL7t3d0wq2DJ/bQXehAHYj2hNxkqf6c5THBNR/PE1+qCNiEhW3vHp62Mmt8W+PZnxrodtWQC89zZMCjzdKrTrsUpgniRQQf08aXuV9VUgsKonGI0r2FrJA7YEN8FplYn0su7om2DskTaQQM5WQiM2D8aXVagnm0mAPQInm2VeesFugRcgJGJLeZI94ELuqpgEADm2yADT6stfKgGgyuFhqTLTlq9P5KWftr7YogG49cqnPgOAvdaLiGQS1klu5DkrgF6/IyL/RghfxYY8VfFE04upwLttdFa8PQGSB8hbETfRJHNbWvTXpMqKu6dFADqQzwd4n4yM1VNWOU/yTPj9jgLaPjRhccCCC1qeugDcVtHx2J6AfqDehNHEzLYqEwmr954MSsaLJwxoGRNom+QC9rZUuW913wvsyrS3Ua9XnQRqhzpIoIL6DkKpWVUCnSQAaAG68xQwBHQTGAChk0xq3tISAFKBzKVLDP8OUAZEAajDpz4bFE2YIracLPXDfQH0syRPEySgVwKOvWBsO5HVa/fYpY9VeMkakNY3T+YAdPe9Y+CdBXUBdhMD4B9YB5zRNfmKaH2owAQMGPdRAO85AeXq0AN7tDAA9KvrKZRJayddaDsi8hYv5Xw5yWQDPaDdU1lfeeKTTAIk48tETFv6YIHHZEL7qf5VCcyhBCqon0Ol1y6vIIEOt72cJWgITh1ur+oskxhPJyqw703NQIeVzd5q9V8asJl3QE96gB6g6nyQBJAClMOgNQgf/dSN2HxSwxaBZosSQLCnIUA7MG47DZl5h8Nquy8GsaOIFo2I1tYkdfkBoJxMAGg2F9EqV/jUjvcTAHBPBmzJsaKuPB9SQDc6pY5jROR3OQByCR1lrfA7mox4QoBX5ZXxJMF+eluEjDXtRERS3v32NtSrqUpgNUuggvrVrN3at6FIQFCyOmT1aCgEZ4yIwCjgC+gzxvrE2QVErFCOmhEAFFgrgGfU7U0z/YjILy6nAf7KCv1K8hygiZFVNV4tQPBZxqytMFbcbd/y1M2Lq7axAMPK8GvynWMKUFcfiDehd88WF6DcFhy/B2BPvtVzK/pW1K3iO9oHb2XeFh973R3xgDZ6VvxtwXFuqwzfCnxr10SBHVudt1ffpMOTBC/e2uqDvk8W40U5PHpJVkJTu+rK147yQL/29VEbNVUJrHYJVFC/2jVc+9e3BARHK/MCg5WnvgmtkoqAveBcgvAq6dbIu2F1MSJG1g4AWgH9ongjIm/hSH3+kaeV6lkE9LpsNRzottINoAPX3onxbX7f8fdyrC/gAMzybcsBmv3mi98X8LsHXmpFQxnAG5D2eUtlTQo8ubRX39YbwJ39WVHXFnvHg3u26vg6jja1BXQD22RswoAOPxvRehpgiw2+/RiYLUN77rlnsp/ftbJ+y8H2IJ81NVkG2IF/EwIv7ALv2jdhQF++ehLZ1FQlMCEJjK3ZCurHJura0CxJQKCx+gTQC1CzxPsoebUaJlVg372UARiApvsa3Ze0YgmAAi/d11rdJY3dfu2TrmZdniYjfkTRj+H5YTF76tmflfUDDjgg+dExP7q1++67J6vavjq0YcOGdNRRRyU/vOiTnsCxH+/zI2t+1MuEwA8K+uEuP3Tmh/p8oQjYR/P5z39+8rlbdY499tjkx/F8ycgP3vnBx6OPPjr5gTY/EuhLTn7cTlt4sjWIRUZEcs+Pu/kCkk+n+kE+9Pxomx8a82TA0y8/KImWH0Rzzw9KKoc/53688Mgjj8w/VunHyfRRGzVVCax2CVRQv9o1XPvXswSAAqs8VoH6BQc9N9pvhQnUIxur9uQ0geZnrkkgCxCxAjlM5q3Czuqe72HKoZ0Wu5Ta81e6Xi3yjIhkcuK3PIBmthcR+XdT2AtgDIyXFW0r8la2bZ0B8snOariyylltN3kEjF1L9uKjazJpEmS13H0y1Kb76Mu3Yi/Pqr9rW4Ec0Tc2mnqR4XLoAAAQAElEQVRBwx5/9/TBtX3ypU2TE+NI22hoR1ll1PNFHJ+AxbN7yuBDnWY79bxKYLVKoIL61arZ2q++JWCF3j7SYa/QCyyCkhe6BB2ByK+5NpMAKPgJVAKawNZ3R0ZU0USHfHwNaERNrDqywE47gBmkk0AWMFVWOQehtdrqsk8vSvbSL+PMFpJh6qiX9sdRtrTBD0W0toPtuuuuad999018kU9cRkTabbfdktV6NlvqlKO6UkSrfslf6hgR+eVX9yMWz10vlSJis1sRkbdTRWyZH9HKi4jN2kn1r0pgTiVQQf2cKr52e0sJWKEC6Ie1b1zws5IlOALxVpKsWAHrVprcb+ciIvL3sr2UBvxbeVIPyEcHvYhorzb2a8DJql5916A70dO1FcruSi9fqgDQCug7y8l7ML1MyMnTBGkeAH27xPgZ+9jtXbflxWcurXSTScTk/Uw7v/W6SqBKYHkJDAHUL99AvVslMAsSAOhtK/FVBoB1EJ4jWo+/gXJgXloKxHfTDrAh+HqcLJkUWPGPmGzQtRpKXhXYd6PFlKyu01t3pTuX8nIgAGpy17nEfOcaxybm3UqBTuZZnhGR+BZPB4F5iw4V0HdrPbVclcD0SaCC+unTSeVozBIABAB6W0qcD9I8AO4xvpV1ezmBsIjhgW9gzoqviQIwgv4g/A5a15cxyK2ridCgjc14fav1JnqDdIN9srFBaKzmur5yYrLZTR89+TKGjKluytcyVQJVAlUC0y6BCuqnXUOVv5FLwMreoC/FRkQCtm2VAeZHCbwiIr/0ZoXNyhqgGDG8iUOvAgekyLDXevNY3iooMNlv3wFW8u63/mquZ8Jj61w3fbRCb/I9ynHaDR+1TGcJ1NwqgSqB/iRQQX1/cqu1VoEEgABfcQEEnPfbJavlVuaB635p9FsvIpLtOPbeAyoR4wf3VunJ0Wfw+u3HPNUzGRtkP7xPitYtT1taDLl0s5fexKoC+i3lV3OqBKoEZl8CcwbqZ19htQfDkQAQb8uNlz2B0n6oRkSyVx6gd4wYP6AufNurjQ9gZRLbCQB6oKrwU49LS4CuTMCWLrH8HYDey6BsePmS83OX/XXztIjc65ab+bGL2tMqgXmTQAX186bx2t8EDAH09oI770ckVloBaADBSn0/NIZdB0+2/gD3ViOHTX8leraFdAOsVqIzFfdHyIS99cAlffXTjEkoOXezKt0P/VmrYwyzPZOd5Xi37cl4ncSkdzm+RnGPLHxyVjLhKbZCVq7l28rFlkbRfj808cYnn3/++cm7Oq77oTOKOnjBk2/5//KXv0zsTd5KbSkj1lg8InP1/KChBRD0PCV2r+gHPXWMb+VM3uXNeyITNu33FMiMvBzPO++8HM/nXT7N/ldQ35RGPZ8LCXCYg+yhB8oAegDa+bQJzUqwF2mBmHHyxvH6Gg6HO852Z7EtoH6QySCAUAP+ouZXGofkbczOwx56QJ1/+853vpO+9KUvpR/84AeJz5NvjJ577rnpW9/6VgJOAfxFKU7uDF8A79e+9rX02c9+NgH2+J0cR5u3bKz95Cc/Sd/4xjfSJz/5yfS9730vTzyUWi7p109/+tMsb336/ve/nz73uc+lH/7wh4mvpKNvf/vbyXhWFnCVfvGLX6Svf/3r6Te/+U0FrQsCFlNMqD760Y+mb37zmwmg/8IXvpA+85nPpGmykwVWJ/6vgvqJq6AyMC4JcJr2fnMIzvtp1yqflXDbbfqpP646VoEBe0DG+bjaJVcyHld7s9pORCSTwkH4t6op2A1CYzXUjWjJ0rslEVtugfPUyjiYB0BPn0COX4k96aST0iGHHJJOOOGEZNVXPsD48Y9/PL385S9PX/ziF/OKszqTTngD2t797nen008/PYP6abFtPs3ECG9syTlgboW9G7mRvR/2opOPfOQj6V3velcG9VbwTaz026q98ezcBEKMUseKfjdtrPYy5MNe3/jGN6bPf/7zWX5vf/vb0wc+8IE66WlTfgX1bQKZnsvKyTAlwDFzohyxANIPbSurHt+PewW8H17ViYj8RR6AxmRE3jiSFTeP9sfR1iy3ASAMMjkEegABtj3LchgG7xEtW/eyenPV3gq9MTtO+x9GfwahYRJ/7WtfO93xjndM2223XTLJ5ruKXNjc7W9/+3SrW90q+wd2BDzaynDBBRckY9e1lWUA05YHq8ry8aU8X6o88Cm/XFtZbk/atxLN96JjYsFmPSUAeLUDtPlymIRXPlo5dNHDg6cN2sKjdtEClJ0rj7dhJ3S1d84556RNmzYlCyUPetCD0l3ucpe8QgyEu4/X0if9JBu8y7ve9a6Xdthhh0Qn9MFG0eWXt99++3TLW94yT7oA/jPOOCPpKznsvPPO6WpXu1ruEvmRFbp0oj1yJRuJvuglFx7yf/pAP+Stff3TNv3pB73QoXx5rpV1LV9/1EdHEh/kK6NfrktZ+eQpT39Neug3ItJNbnKTZEFNm+TidxXYg7LqKY+ePH5RPddDFsfUk6ugfupVVBkcVAIcCQdroDvvhx4ABhw49lN/knVMQgQSwX4cfHCqAk+/sh4Hj9PQRkQkgX0QvQiuf/rTn6ahOxPnIaK1Ys/WAVh2b8zOE6CnhIhI+n6b29wm3exmN0s/+9nPku0cAJcECN/oRjdK17jGNRLbA35s9fjgBz+YtzMo/5WvfCWvKNtmYuX8Qx/6UN4KAlABXbZAyANCld+4cWMCSt///vend7zjHeltb3tbsrJ92mmn5S0rwOCnP/3pXIYf5h+sRNvKot2zzz47g2QTjvJEBV9f/epXE5poaRN4s+VCPU8ctPOpT30qP3EYhb8BRm2Z0aYtM1aLiwzknXLKKenMM8/MoByAJGfX73vf+xIZijsmBN/97neTPuuf7ZFAObCrT2Rny9Gb3/zmpC/q0YetPvqr3qaFCQVZW5lGCyC2hcr1O9/5zkRO2hqFDPhzW4/ojy7oGX/siP/RP3n0Qae2FLm2VQZ/bOBHP/pR3q6kL2zKPclWMPU//OEPp/e+973J0VMQZdCjX0eA3ZM48beMbV8RwxvZkLe2THDYja05ZEp+o5CJcTatqYL6adVM5WtoErByIBBxxv0QtXIEfHHG/dSfdJ2IVpC/8pWvnCK23J4wbP44Uasno1o5Gja/k6QHVAlO/fJA1qMK5v3yNMl6EZF/IZWtA/QFIE6Sp0m1fZWrXCXd/OY3T0CQLQuAINBJJmRjsgNkAWtWnE2GANXXvOY16WMf+1g6+eST05ve9Ka8cgzYA5sAuTIALhrA0ytf+cq8x/ya17xmutOd7pQnEF/+8pfzhAEwBdKssAKAwDmg9eMf/zhvnbjBDW6Q9/sDpsAte46IxHegYevQDW94w8TGgUOA1mQCj4ClrTCAprIA+LBlzff7td1rXetayer5bW9720Ru73nPe/IvRBeZkQMQSU6Au36cdNJJyWQFUHeP/At/eC3AVZ/Yq2Sy5SiPXgBn70WcuTBx8Nli+jryyCPzewef+MQnkokbsCu+8bmF/lLHfvLpCmimP0++nAPQ+D9j4ckCUH6lK10pT25M6OjjLW95SyIj/fCeBL0D3/pRypOJSRFaygP0VubZgfKePlidt82Grk2EmvxHRBKTbWNEm5yAfnmulSWbiNHHPG1NS1ozLYxUPqoEhi0BjpUjMnN33g99Tl3wcuyn/jTV0Qc/VuU4ar6sCFq5GnU7q4G+VVVAq9++kLVg32/91VYvInKwN2FabX3rpT9sCmi+8Y1vnF/UBDCtcBfgGBH5JVr5VqOBbRMA/gGwZJf3ute98lYTQNVqqdVh5YF6gDMiMsj1RMCWCIDMaumtb33rdItb3CKvvgObwBYwzB9bZPFyqDat6rJdCy5AW/HT+ACmbRFi31a1PREAooG47bbbLt3hDnfIW1fQxYv6vcinm7JsyKTboo4jYE82Jkv4EFvwZbJkgoEPsrC9aa+99kpXv/rV89M4/TJR0WZEyz71BUjWP/JFT6zRBpCsDnmh6wmB1XI+VfsmCGRnEoFH7aCB/rCT1XQJXZMzfGqTzoB6ANoKPXtRhq6VA8h33XXX/EQIWCcbExGr9srrOzpAuP6y07vf/e5JnZve9KbJJIZNkq3tOeREJtooiZ2Q2bp16/Lk0IQBr2yfnApPpfw8HNfMQydrH0ctgemjb/Bb3eEMOJ9+OORsOCfHfupPYx0BmxMcdZ+K/B2nUQ7TxBNQIvhE9LeiBCwASo7T1K/Ky+QlYPV8xx13TLa/WCUFuq06W8HEnVVYPpKfs7f7Pve5T9pjjz0yGFVG3nWuc50EgALNABmgxYfYD6488IomMG9lfe3atXkiAJQDXdqRnEtWqQHBiMh7xq3uo6GdiMUxAPDZXoFHgBVQAyjxBcTao24LEbAN7I7C10REftKBF7wbq47aIgv+1NglQ0AVCCcbvOlX4Ve91Phz7d4VrnCF/PQ0InI7aAO7+shHW4EHiMmh0HzMYx6Tn8DQq203tq2YWEREppWG/IdHvoUeTCzowoSNPqzWu2/y+IAHPCADcnx694DtybeQhH8r7yaE6nvPYJ999km77757onegnk6vf/3r53cP0NZvsiQH7ZN5p66RvwmBdjxFMHFQzySTPDvVWc15a1Zz52rf5lMCBj9A71Gx836kwFlbnXHsp/401+Ek9Y3jHCWfAq1VulG2sRpoR7S2RwEO/fYHUJL6rT+2erWhsUoA4AWsgCZbYQBuYx+oxAjwYwUUKAUkgTG+00II3ykpFxH5KyMF3Fu1B+ashgJrVkdtiwFUgVm0jH0TAXYJ7LoG7tADxNDgI4Ax/OBDe5JJKgBoEmJVXhkATfkmwItoAVl10B1FQps8JG3rq+0g+m9SAaTypfoAiNqK48kCAKzf6jf56nQd0ZIv+XhyoR3lrHpL5KHv9IgWXsgFkHafbq1oq+P+MBObKBM0erCa7iVediSZzIiTytAh/vGHl4hF/SiDFhnxdUC3firf5Nek0XYxeSaL+ocu2aApuddsw1YzT4fOOuus/BlXutFWRCg6V2msoJ4CGbnjXEl5lXXWoDLADMaS6LQ48JJnIMrnvK0UOV9KFOzCYPc4s1lOW4IMh2XVYqn6zXwOUFmDvpnf7TkHXYKXlQj0OtXVT48UJX0vZfAskFmN0veS381R3/VXQkcdeeSjvZInv5k4fMEVH0uVaZYH7AUIMhJstdG83zx3T5lOcqBjvGm/2W6ha68unpr0nKMp8PmGc7Oee52S9vWv071x5emTftJDSfQsvxselCNDNm78qFPk5xzQcZTIxD1gy9G1/JJcsxG2Ry5k7Lrc7+VIf/iik17qjausvhV5O5JjaVvf9VuZkleO8sia72A/Jb/TkTzplryLbjqVm8U84Mk2FivAtjYAPKUf9qu7b8X3+OOPT4C5VV/jkg+1TcaKND8GpALxVmDlW5W3f9oKrhcjASorsMp6uZHcteW+/fBAOppoA6RAun3nPlNo0mU0uAAAEABJREFU3zX/D9A5As62mDjaUqEOX2JfP37w6J42JOOAHdBj6dswjmxIf7SJLy+2shHt2T5kGxK+8GqCxK++7nWvy+8jAP7Grnp4dBQTgGDJuT54wmH8AbreDVDPlht12LuJmHtvfetb04knnpiU0X+y0CZZAr6jGr/kSm/0YJKFb33X5u1ud7vk3LsXXmp1jzz0T79csxsyw58vMtGlPfQS+ZGlcvpLjsYhGuqZIGlfG+RCF8qzJeWNb7ohd6v14rZtO2KbScQwbGDWaIwN1HOUjNobzxQxa4Kq/C5KwOA0YO2nKy+xcEoCLOfsO7xe8gHkOSV7/zhDAGiRyuKZgGvAenRmgLKVchfg8AKMLyRwBiW/05FDV559Oe9UZqU8qy0cJWDPedizKNC00+N4vASEZ85VPwttjtw9Tli/S/5KRzQ5c86TTLQJwJC1vbCCI9pNOmTFIZIRh2vvpUCBVrNc+zldKEdfeOQ428u4Jk8OVR+VxZu6xQasEAky2gbS1XEfr+p4Gcq9Jn39UtaLUV6mEjjlqbtUwgfZkKu2lyo3ynzte4ELEJEEJWCG7S/XLh3qL3mQl4ClDvkbJ14SJAuBD9DRP+XJ1dgBuASzpozYB72pJ4CyAzr3dGo5Xpr3yF1dbQimTfrNcoOeo8tutdcrLXpnP16oI2/xgy3pK59BRmyMLPifQp8MjVsg1Uuf5FnudTri0RgGVoEJ+ulUbhbzAJ3169ene97znsleZWCs9AMAAvRtpSFX+faLA+877bRTfkGVrAEmq6HyrcR7QZOM2J39zFbod9xxx2SSYPzTmxVsZW3HAMBs8SkvmiqHHxNZdm8fufsArL3YfDA+rAiXung0lqzeArLGikmDLRt4w/uwE7uQ9Bs/+oxXstFHYBu/Jkb20nsHgSyMQzx5UuKeyQ6QSRfO0aMHsnGtv1aa9Ud7Vpm9+yC/0EVLbNN/Twi0w5eg7/0C21eG3X/0xB86xZcYbLzZ4oIX+mVb9MJ+9IU+6Ff/jXmr+7br0O+d73zn/DI1uiYK9OhJkmSlv5RHUyw2pr2f4J422B2Z0QNbsT1Mu+iRHTraIJOI+VulJ4exgXoDlyF4U15w5AwwUNPsScDgNqC91f+Sl7wk/8IbfQqkgqvVBIGU04toPVZcrpeChhVxez45KQO7lC+B1uM490p++xFPBjc7M/jb7y9eL33GiXA8VrTQkzjtTjWAFMDVxIY960MpRxaANsDnXslf7lhk50sRAgKHHRH55R/AzwQBoNVukw6w4j75mEQB9doF0prl2s/RsUqCLtBIV+1l6IFeACNAx4TLigwgiL521DVZt6KibXTcNwlRHrAC3NFBTxvkyn7UUa7ku7dUshKjDnkDw/hfquyw8/ErqOmrLzWUoAaMW6lkd0u1yRbZLd9Ht+QmmOszMO3FQ/RMEqx00jv90yd5sgtfGwFgyVY7+GFvbEsdekfPPUGQ/TlfLimvnv5Y9QOQTGSXq9PvPbyyNeBsJRrGL1sBHox9tgTI8w3kYVJJDsaelUETTnJgo3wP2WiD3NEiH8Cf7chfKpX+syvtaJ+Mlio/S/l8GLBl/zvbi1gEOxGRXzZ9/OMfn4477rj0iEc8IgHP++67b3rqU5+a98ZbjT3ssMOSvdz2PwNorpV/1KMelYDRAw88MB199NFp7733zumRj3xkpnuPe9wjPelJT0oHH3xwrv+0pz0t7bnnnnnfNH7QUM/eamDwIQ95SG73rne9a34R9qijjkq+9qK+cg9+8IMzPfyuX78+T1Tcxy8QGbHYt2HoSEwAIvWzyAOofvjDH57wJv+II45I+g983u9+98tyxBNwCbw/7GEPS094whPSLrvskmXz5Cc/OfnWPdnIf+xjH5t/M8B7Bfp43/veN+2///7p6U9/etptt93yRAndZzzjGZfJBph99KMfndAgcxMqW54ihtt/44m/Bar322+/bB90Y7IREclTG3wce+yxuY9sw2SNrOyZZzvukxFADsSzsWc961lZj/im+6c85SmJnExMrLKzA3ZDrmzm0EMPTeihS+Z+J+Cggw5KT3ziExPb5hdMyMWJ6173uvkdkGHofxZpjAXUMwyrngKVI+ELXATmHofLiXL6gpIgYHYoGHKsAqpzQElZq1ToCEZAjaPAqg4gwQjN5NDmpK1yqaucc20UutqUL08gwFNJ2gVY0BRc0NKO89K+wIiWWad23ROMBFaARvDRN/3FT6HtvqDjvj7gDy1tKKOs4IUeuvhz7RxPaAII6CiPd7IBvkoqZciLbAQ/9dFRRxvuycOHMkCEe8slwZ+z4tysxhjY22yzTTLQDUqrPxysGbqya9euTQaalQr08Y03fdPniEicBlpkjh/yYAcclZUR98hGXf0jf3JWpsiDPPWJTJQr9NGkN/0jI33WLh7QcY2ORBfsgZ1oc5cFR6xfaLrHFvCnHX3UV/XZEZ6dCwQcjZUDtkGWeFefnNFGT75UZGIipJygKvjqn/YAOvzTsXbVKQn/aHJmgg854g8fpUyno1Uf+qMbdU1kIjYPCGQFdOob52zFaOPGjcnkApgCRsmAg7XiVvI5WDqxKueec4CLDeMlIvLn4aw20Y2xQxf0o4/kQZf0rP/O8QtQOHpqQ7/tskB7FEk7+GSHgs1zn/vcdPjhh+cVJ33U96XaJUOg3FMOq6QCvX6TN9kJ1iWY8RFsjt8gZzYEMJloetzMfrQTETloGV/osBMypic2TJ7GuGtgmu+Urx/qS+wJTwC08asNY4I9SWwKTbTVpx99oR82jUe6kY9vtN3jd9kf3annmr/3hIMc2L72mwlvyiqHJyAcbWVNfIzHBz7wgTmAAwT6bIKFHzIF7vQHGMcv2vyOPgGKztkLmmRojLExfOOfjLRlHLBzNNj9+eefj9SqSHwvfxSx+RjXOf7KPfuj2TJ58T/O1XPfObmbILhfyrNX991zToaSa+Wc858SX24FWh462nCNVjMPHe1K7qln3DuiixfJffWco2Vipj/DTnjVbuHLtXP8OJqI46/IQSx0D294whse3Zfn3BH/ztEmK+XUc+3cPWW0Jw9dOpInkY04rH3XEVvqdlBZlHHNN/Drxgr/ol3xQz/waazhQz/kkYujPuNdGffIw7ny+JeHd+X12X1JGf11VM599Fyjp46ja3FFTOA3PNkRk8ls0L7Pav2xgHpOW2DmSDlZAZ6REJo8AcvjVSt6HC8Ha0+eFRpBQZBwbasHxTEsK2TqAEK2ewAZVg6tPFrBQQdwEqCAD6tq9vVZXVaWQxcs1BFwBFGBEE8SvoBCb5b7UQhtCAjq4sO2C99ktYLEyPUJ/8oJaPpnFVJZ9dEXLNCWGKKVSt/b1TdlrJppQ3AEygRcxnrqqacm9fXbI2hbQhzJQjBDT1+V0X98WfmzqipIkoV+++4wWsCX8vgB9PVf+x7l05P20VwqRUQyGA1Cgyci8q8QoskJGMgGncGJntWyEnAFV/0mJzqhYzyQd0QkwM49/QBK0ENLO/Sjz54EWJlTFn1ypwf3lScTQR8d+YK/4G21VN/JQz570GdgnNzxol316ASf5AxwsCP6JCfy5eD0jxzomj2Qr3wAkGzIgQyBILwCNehrG99FzkAG3SkjyHF4EZHYPdmZEMnXHnrNJJiwFdtv6BowAn452Ga59nO08CiIkK3ynGSznH6Ri4Bs9URZCdCSlOXc8cYB6xM+yJMTLnXoz7ihe3UiIsnTvvFt0mIs0wWbpD+yN3bYscUAPsQjVZMQsjZ22Qx6o05kpX8meFaVTFwjIv/gDZCur0vxQE5slXxNCugK34KRVS15dOgRvoQOGfCB+qqcQE6mRX7K4Il9ObIbbRjH6rF3/ojvMFYc2XCxN/Xplo17TG5yQA+e+PB3ypO7cUBv9MK26QRv+KATY4M921bE5tFQHg0+WD02jI7EB7FPY1QyLvhBfpYf9xQXmF63bl0C1OmcTWuXD+ez6UE9YxjfArjJEXr8o37pX0TLR7FpdNiYvdv8PXnxFbZC8Yf6amziX3mTHH3SF3TRm/UUEct+GSVi+fvt/Y/ovnxEq2xE5C+8pMZfROteI2uL04jIeRGtY76Ygv8iWvxEtI6FpYhYVtalXKdjRHTKznkRsRndiMjyjIg0qj/+xVOQffbZJ38m1niF4TxlMe4iWm1HtI7d8hGxcvmIVpmI1rET7YjIvxcg5tkSdbe73S3/6mynsqPMmybaa0bNDKcooHDu9u55c9oKEAcsQAAUZnyCAicKJAGHjMnKI1ABbAE6ApyA45rTBY44aG0IYgKoYGAVSRlATjCR79GPfC/3CHwA8xve8Ia0du3aPDAACDSKPJTVBr4FGcBTQAAKAS3gEhgToAUEwQj4AkQBPwFTMFJXfwQtYB99/JoICFiCikmN/gP4gD35CNLuG0BkAfQIQvK1T26AEVqSNgR5QZoM8KbfAIcJkDIe6wEVAjHebGVAF48S0CtQax+fKyU06RCAJm9J8ATu3BN8yRrfdKustgVkM2p2AZCTGTkK2kCxQA206Ss9FD7M2AFIsrOSqP/6iV8Akn1EtH58RjkBXjn18KPvdERXAr2Xx/BrwqE9oB0oBbLIs+icDZCVflmtBrAASw4OAHU/IpJ8jwzRLwBKu/pEthGRyJk+gBQ61ze8APVkgG95+k1OdA/s0SOa6LlfEvulb4DEJM54YevAN7raaE9k1k4nIvKTFjIttOlD/4pc2ReAr9/aYYPGq/L4w6t8oE9Z1xGtL7vgDz/KNhP67EB5Y9WYNQ7ZjFVY+caSMYJnurFiw2Y60WvSHtU5Owac9V9goxe8tMtZOXaFd3IBKj22p3+2hD/3TBLZA7mybWOG7IrcHdGmN3Waify0wcbZH+DMbkz8AVSr/WyL/eFRXXbGvtilCQrd0Q9/w/+4Zzzh6VWvelWewOsLoE5XJg/649G/yYp8Y4dP5c9MvkxY1DFx8+TJfmRj3nlE5O+X4/MVr3hFev3rX58neZ5+eGrB57ErPNiqQWbG+Etf+tJkrJITGyN/9ko++qA98tPHZsIr2bEdExcTEpMLctF/cYZOTC7YmDFIB/wHWTVp1fMqgXmTAN9i3AL3xifwbMxFLA22xykjix5wJf8iNoyz7Wlsa+SgHjjikAFaQIOjlgc8ccwRkThRYBQIBLI4bc5UcACQOH/BPqIF2ARSirRKeO973zvvq/MijxdLBEt0OWQBSMADTrQtAGnDOZruocuRM1KB1DlFCYhWbIBANAVxwUHbAoi2PDrHI6C/adOm/Mt7aKNlFQmAE4wFCMnqENoRkQwUtPTTyyb6oT8CowmPgKvvJi2ClxU9AVIQA3asGAqc6EREco8MyYGsBWariOqiR16CpQCGZgls7nm5RPC3dcMERT/x2U1Cn/7wJ5l84VFdgGybbbbJfdVPCbinHzKSyEu/8a8v+kRu5Ed/5IeWRD8mgIA1Hk26yAgN7eBFOe0qh4a+apNNuf7GkAQAABAASURBVFYWENYmkE+vJeCzTfrmIKzKmv0DO9pVBwBgP9omXyBCH9iCFQIABDBgU+7hhT2RMV4BUbZEzvKBQWXIBU3tsC3jw4Tsm9/8ZtIuoIJ/TwvYMh7Uk9R1ZEv6xxYBYvTYgb63J3wUgKduSeRHl0V/riMilTaUi4gMwMgY//oh31F5TtVRHXnuSfL0z3kzsReyplP9Nk7oiK2i4ZrM9Fs97bIV/VNe3rgT3yIZS/pFniaA7XI2ltkCMGm/rDFLvibU+Me3CazxTB98Ih0DtOgW+Ua0ZC5PnWZiL+zP2EdbfffZLh9GbvLIET33yJVNsVHyZ8P8g/HHjujCOOTb6NMkURvGEp9pzNGDNvkNvPPbxqpJhgUMPt89k0D953uNUUc8SOzMtfFnnLFrNoNPR/VMaO0Ztv3GuLGoYyyQhXJSRAtckBuaaDeTcaE/9u+yGfZEVnyEvtOlhK528YQXOio+u0mvnlcJzJMEjDXjhI8wnvmcTr58UjLBH9+Fr4iWL5gUL9PQ7ppRMwHACWwcLgcpAAhkgoBgw4lyxGaClMJpW/lkPAKKYElpgJ6VZi9r2PeoLOfrxYsCtoAZQI3DVtd9Dl0wsoLlntkcA9C2MtpF94ADDkjAbZEHoxUQrV4JggAfXtEULLUhKMjj/LfddttkxXTDhg35ZRgBzAq2ACJw4lcAKvS1jQ/BUfAEEPRRoCUvQRG48fKNoGaGDOChQ37qkJH6aJKv8vpqxZNcPBkhczwIUspqx9GkBmgWyMgXjwI3UCrAorlSioj8SM7kR/CVnAvGEZGfgABgeMYfmZIx2QM2+CJDExE8sQNgW7/Ihq2QfWr8cSxAh7JWDE1CABh1SrGI1p5jbaFrxZ888aevwAcApg69ysOnNsnB5AS40VZE5Eee5EefjuQf0QK76Kuj3/hiH+wMUMEP+6ATIMqEwUtGXiIDMNiAMhK6EZHwAhgB51ZNX/jCF6ZnP/vZST89AXIkt3TpHz3qi73XXipyBKpMMo0jTyqaCdAnf7LF26VkLjvojz5EtFbu2ZRxwHbpgm3QEfsjR0ll/aUTcnCfHavjHiBFtsaN62Yid/KmC/LAl/ImQsaVfGNJ2/hlQ2RExvKatMZ1btzQKbvVR/Ik16acncs3/vTR2GV/9uCrT6b45Te8DMensQHjkTzIgh0oQx7kh47rZqKvIiN6ow902JuVaDrRBj5LPedoOpZxibbATdbsGU32b+waI67R1ScTWvpWl76V1yd8e0xPh54+8MfOI1pjiO4iIrNBh8r7zrZ98mhY8ff0lM9lP8po31j0VM3kwmQXH8YgG9BfvGhH//GaG2j8hwb66uBB+YhIfJ2JF5+o/+TBxsgsovWSOroNUtN7WjmrEqgSqBJYkMCahTSyfxyk4CZZpRK4gFRvRwsqvgYhSGBAcADOAFqPcoE94FCeAArco2dVjDNWxzVHbBUK4HJudYgT5/jd5+gFBfnaNSng+CU0gSKBwTkQga4EEAkugIiALHiiyck7oi2hIxgCVvhUztYcj3kBIOAaMAJA1BVQ0JfUR8s9R4HYZEEdQRQPgph6VsgEfHX00xGNZhLEbQvRf/JGAzBAX31AQl8FboBXUKUHMsAr3rStfpNup3M84NlRnwVFSSDWnoTHkpRDhyy0Ich60mEFDmCJiKRsKVfOXTuX1I+IRJ9AJdkAr0AkPblfUkQkfVSOPshBm/jyCF/gpjtBnnzJRVtSoVHaJHc2qW9sgb7JSj1lJNfKkTlbVqbQAibQBNS1Q9b4Vkc+uso4us/urfw/5znPyV878La/rx2wX5NQ8rayCDBq09MGOrPFgUz1ESg0STR5aKYddtghywV/Ea2JCT71AS/sodgJ+Ugm5gAUvoE3Y9MqrbLkCoDhgQ6siOq/8pJ7eNx2YdJLz9ooqbTrWPLYlLGsf+jQmTyyJi99KzIir1JvXEd8mFTpO7ujC7IAOJtydk5nJsrkYlKpLjmzITrWL3zzUWTDrgFMPoDcyY9sgGjyM26Vbyb0XDtKyhvrVtOVR6fYuPaVZfvaMF7pRl/UldR3VM6xJNfo0Am67ICO6AIdvgQtvsQChKePJqB8YkQkfWU/7EEb6LFRds83iw33v//981dA0LDFUD/4RPxpBw3gXvtkyE7ZH7+NJt7IEW0J7/Il5/Kco2OLF5+tbWPWPfJmX8aVMmjRnXs1dZZAkWvnuzW3SqBKYNwSWAnUD8QPoAwMATAcuMAkccoRkezBBuwLILDyJTi6L+gAKgIjx++lK59PtAfVRKAEFc6ZY5G0Y5US8C8rZ849FQB27ZvEjzyrplb4rWrbZy+ANEGCVSgOnuO3t1TgAMoAQiBHPjoeCQNaAgw69ocKDuoLaMC9iYqJCP4EtiJUPLvGkyCmDtAFCDgCDF7i8mMWtuMIcJJJkkCPP7TQwZ93DExEAGcrUFZ68UWu6ru2egY4+CqJVV1tkQ0e9MdTC3JBd6kEXJE/eQjk9EwmeMAbAEOedEC3zpWnN7KgM7zQKX0J/uSjPrkqgxd0HE1unKMhCcyCuoR/oAjgaOeX3dAzHZlIAB/KqI9PMgfQgAh61S762pJvtTgiEv4FeuXsrVfGRJJ+i6ztWbbFBhgHLtAAOPRZGXyaXFh5V5at0Td+6NnkNSISfQFdgLNtKZ62ADyuPQkAnvBuJdRYcK1veAGG2QVAqc/GmmN7KkAZj0W25Az00Rna9rEDUvjWH7KyD9n3kE2WyN4EXbt0yCZsI1GWfZlM2eLlnnPgyURCf9kruairTXyTLXmZqBkT+mHs0AG7cJ/tuwfkab/oE81xJXrHhy/YAOYRkV/MAsjb5cz+gFCr83wQX2es8HFk8NrXvjbxGV7YpneyBsLR4vfYozr6TPcmEfqpLlmRkXGnHP2Rp6S8ZKyza3p2nx2rb6wAsvqgPFrooGccsi92obz76OObX1OO/uV7IdYTN/YNxAPs+GVDfDc/wu/z53RGz3xGRGu1Hi+ScaBvJqVko+/0q13vIfD7fBT65QU98mDHfIkxqb6nsMYOmnwjmbIftqY/xgv9SfohsVEyIgP2zR7l45ndFptFc94TmdKtscjvk6u4wle6N+/yqf2vEpgGCYwU1AMrApUtB5xkROStDICI783KBzwAHMIQLHwyDjAC1Dh7gYEjB2w4WcBBOUFkjz32yG8+e0wMYABAaBcwJOhLAoSAi56gJbgoZ8sN8Oy+4KtMRGAlf2JRG2gBKXh1bq8vfpQXsPApmFghBZ7RcA00e5EM4BLU7dMG3MgkN7DwX0TrCw36DyDoD0AmQDnadqMd/SZHK4JeVsGzVaQFEpf9Q8N9j7+1BRyQOZ7whieBFji01x49gdH3cgFfARJdMjShuoxwh5OI1jsBynuJjT4AhcKD9ujDKpd+AYJkSV6CARnhQwAG4gEe+rASjSf9V18/2IdtC2TJFgTqiEjkTrbr169P2ujAZt4apP9WANElezagjwAEGdEr/RQd+8U7ZdgNXfuGsLp0Q4Z4UN87ECZzbEI+fQBJ9tXTlz6QbaGtb+rpp76Tuf7j2xEtfTIJAoDklwSAGRP6QobkKs9RW3gmIzyTF7lpv9TvdIxovcvCTvGlfETk/fICND7Uo9vy1Afvtks4GnN04j6+t99++/y9ajaGJ3phR3SDP2CfjaAp4d2Y5gfUNwY9tWGX8m1JoRPjgOzlm2QAp+jTPbmhNc6kD/oCfJL3Sm3rA1thS8YjezBujDf1jRmyoH9POdiee+THRtXhA/g9sizt4YMN0bUjvXuBjT2yBTqjG7waS8YgGy316YZegF66Jkt2zM7I1sTCmEVHPfLnm+mevbAbfLpWDv/O6Y4+TeL4KnTQQ1c/2EdEy8cWXppHbekr3k2K9B9vzsnHGECfXNkFW9CufqsXsUibvMiEneJBOb4JjxY05BuLeJXPf/IRFl/kS/TR5G9ezz25MDn0xTKLMezGQpAPTJj8tfuseZVT7XeVwKQlsGaUDAjUQA5QBfAIRIKYIATw+FECTpcjx4dAIzgIZgKePA5dGfsu7RkWeAQtwLqAAIFCHWXkaU9A4ZCtLgmoAhvagByaVpcETjTtg7c6JAhoUxI4AApbHwBlAFs5QVRw88txAlZE5AmAwK2sdgVAAcZWH6Cl8IMeXtG3Wgw8AWmCPP7wA1yRkyAmcKL50Ic+NCmj3/oIIApmZIlWRGu1EBBy3xFwF5D1WfKinnwgVmAkA8CQbPVPoHZfXqGLdqck8NGtVX06xLfgK8gLriZL9C7wkpG2BeCISFbB8A5QAEYAPlkLsmSFP7IjX7LEq7LoCbpW2TzhsUJEl+xKXzrxKQ99fWRb5Kpv2sKTttClO8CEXF3Tgb5o1w+uAET6RQ90ycbwJp9eXNOV8kCU/uiDbQjsRZ5r/UNPu+hHtAAIeSrDPqwU6hvbwL8EQOMP+GAv7BnP5OHaZFHb+okGuctXd6lkfBmHdK9PQBQ54p3M2QzZkrFJDftEX1toG1vu67+2lVdWe0Aq3tQhI3xrr/QpIhIQyiaMKWMXHedsFvgz3sgb2OIrjHu6ByDoTn361N44E72tW7cu/3gOva3U9lZbbZXoy/giJzZmTEhF9myEbI159MiWPbATY4sMteueFNH6ohCZ0x2QSmdkx37J3vh3Dw1ydm/t2rWq58Sm0NUHT560qQy7pgs6V1+iP/bNt2iTHzI+9UW/jCf9BJrpDR202SLfzi4AaPfIIjPQxX/sUx3jSH1yLzpnY2RmXOKBDTVX1Y1z8mQrxice8YMW/kwQxBDXxhKfTj8AvVV799l3F2zOTRGyt0pfntp4gubphidX4lnXgqgFqwSqBEYmgZGCek5A0JCcl144ByAKOIhogRv58gSIiFaeOuoD3Jy2cw7bEQ3nEZFcA8zqS5y+PMHKY2XOR/BSBphEzz0gBl3nEYttRkRetVQOPUk5bUpo4xd/jnhGSzk8oaeufHmFn4jW3nGTDVs6rPxa5VAezYgWDxGt9vGLjvvotretfSki8qfn3FdWQk8d59o3kXGUV+ooow28qxvRat/95ZI+q6tv6EdEfgrjHB33lJGcy+f4gWt7cekDQANWAAh9LPXwp45r9a3Qkhd+rBbZrmN1EXhBV/5SCR16Q6eUUUce+uShD9rUjoAesdgX95RHh5yUp1NH+ZL8Ij/tRER+4RV99eShr006kBcRqfmHjlVcwEuwZBu2WSgT0dItOhGt8yIv9+Xjs/DkOmJz+sq1J+UKj/hzH/AGwoB8kxvgD29oa0Md5STn8sij2aeIFo/yJbQjYrOv6Kirjvbd14ZzR0l76hb6tveQifEC6AKLeBh3wiPZ4ytiZRnjT//0hZ3os75L6JAvu9DniEV67muDXZlou0arpIi4zMbU1QbaknN8oouGZKWVn0mX/rkPhJt40bknaKVeOz1ty1NHGQlNvOmT64jI/Giz5OMlIi57YZ4M0Epd/qFbZKQ916VqRMvGtIeuexH2zeCKAAAQAElEQVSL8lMuInJcKHyXPjgqrx7+3XdORkCriYdJwqRsDO+DJr7DthjbML1rZduM7UvyLBp44mWrmyQ+2krjPQzl2IOytizZwoUG/8teTJTogt26Nk7xyrfzncp6+moC7qmqFX2TAHTRQ1v5mqoEqgRGI4E1oyE7EaqbNSp4WN20PcRKFjBlBdOqFcDCiW9WYYwXHK4VWTxZIXIOUI6RhbE3Rd6eYBx22GGJXgRrAM0qmxU0AKCdKXIC5AB453Rq5d0qIBpWJ9vrDHpd2hOkBqXVS/2ISAKlFWkroexBn3uhMYyygrZVTVsPAB8BHHAaBu1BZEoWVm6t3AMSEZsDuGHwN600gE59HoQ/YArIAlwLHWMSqGdvdDyIfgrNWT2yL/Zum44x6EnQLPeFH7NwYouMJ5vebfEeBIB//PHHJ1+Zk3xtyNG7ELbSeMfM0wpAXD3v0sgH7vmkiMiLN2QTEXnCRnZsy6TA1lZfG/N+l22VfvfE72d4n00eGqn+VQlUCYxMAqsW1JOYFRnAEQD0qBW4twrJebs/qQSc2oLikbLH3R4jW92aFD/jajeitVUJKLd1h16s9nRqH8CwelgAfSmjPCAi+I5CjwKUgChI4aG0O64jEM1GPdFgJ+Nqd6l2IiK/szAMXgaRp9Vquh8GHykt1dvpzGfnQPegfQeobH9r14OJnAmldqZTAqPnimyt2ps4kvXoWxxdC/RrJR6A93TG4ocJHN/Gp3ph3xNPWwK9Ywa8W4lnA1bxTQSsuHvZ2pYkZbxMzHY6ce0pmhV/9Wwb0yYAj5aJhZej+TVP/jrVr3lVAlUCw5PAqgb1Ea3Hr5y1R6mc9bQELivTgLzVeqtwgsrw1Dq9lPSbHuiDXky82rkVfDzKFYCcN++X+lYvI6J5a2jngqL2AfuhEe2SUETkbVTTYqfYJnNB2fmkEnngY1LtT7pdPgIwG5QPwJ5dN8eVMUi+EaMZT4PyPK76fDC/4jiuNkfVDp3aVuPLbVbdgW2g3ZZFdgTQW+Ty5NP7HZ7WyBOP7JGXb0HMlhm+kC/2RLkTv8A/4G4iYfsS+gC89288kfVugkU1izHsuBONqc2rjFUJzJgEVjWonzFdVHYXJABsTHKlfIGF/A8fApk9qDljjv8DEID6iPkGfZM0AUDTIsAweADSJDY+DHqVxnRJwATNk0wvMwPXPpv6nve8J/FnFlTcB66dlyMg7tqkxkq7PfY+92ncA+XuLWUvJoreAzIh8PTZhxJ84MG7UuihbUJhEYcdT5e0KjdVAqtLAhXUT0aftdUOEhA0APr2LTcdio4tq/Bj9X5sjU5hQwIzMDCFrM0NS3QAhA3aYeMMwPMy5KC0av3pk4D3JmyH8UEC75Dtv//+ySTOd/8d3ad7qZwD5lbi5QH09sMD4N4tUMbTHQscVuWVVU55iV+wNc7LsD53acuNCYHfO7A1R3nbe9jd9EmrclQlsLokUEH96tLnzPYGaAY0pgnQE6ZABNgLaniUN4/JipsV+3ns+2T7vHnrVjyBrc1ze7/y4qxtFsBZ77VrjWmWQPFZXlz1g1smg97hMobl0T0AbssMfwvE2zZj77yXadmF1Xqg3A+j+ZKNL5Wp61wZdX1NTllHW21MAE455ZTkBxjRkkwibAPyRRw0p1lulbcqgdUggQrqV4MWZ7wPghDnD9Q7n7buAPP4E8Cmjbdx8RMRCTgYpD0reoPUr3VT/kSjbQzDkAWQ5eVHk9ZpHHfD6OM80jDOvPDrd0d8WUzyWw/20/s9lmOOOSb5bQTbavxOy0EHHZT8NoQ974ccckg6+OCDk6+y2ULjdw4cJV8Fcjz00EOTjzt4CnDkkUcmZdRHy9YbX6jyVTO/d3D44Ycnv82hLXzNoz7G1ufaUJXAggTWLKT6r0pgYhIAJoCKaV8Jxydg7xG084kJbIINDwrqh7HCPMHuT03TXj4cFkCyamu1lm0Pw67RsOXCRHhqBDZnjBhnvp7lB7QAa3vbfcbZUx5g31fHvBRrZd19L8z6hK17gL1JgO/0+wEz94B5XyxDA5hXxg+SebkWLZ8q1p527ONXDy37+pVVX1vDstk5U2ftbpVATxKooL4ncc1l4ZF1GgAA6IEK5yNraIiEgR8r9vMIWjy+HyQwD1J3iCqceVK2QQ1jb30RBFv+/+zdd9R1RXU/8Nn882OtZCnLxCQay4u9ix37i70iFgQLgtg79oqFKNKLdOkdBKQISlHgFXtF7BUxMUZjEpKsFZOVP/J7PnOZ9znPfe+9z+3PvfeZZ73znnPmzOzZs/eevb8zZ849JtXs2up9yR/kaPzaO23l3/YMY9qEYRAatez4JADYG29edDUZjxjsJfeI1q9wRUT+XXr0IqIngxGRP9io3YjeZXsSqjerBKoEhpbAVkPXrBWrBEaQABAAIAv+zkcgNfWqJiJAEDA09cbXsMGISMOCyYjIH6pJ9W9kCQBYfo0EeBqZ2C0E2LLtb0A5+x4EkAPzJgTqepHSeHaUh+4tTdRDlUCVwPxLoPZgxiVQQf2MK2hR2YuIBJQAAGnO/gAVExKgZc5YH5ldq/XDEKFrYHSYurXOlhKw+moVdss7o+X4NRMTbS839pq4Av3Av19Y8fKk8eBXUkrrxjVgD+gbLyW/HqsEqgSqBKoEJieBCuonJ9tKeRUJeOHPXsyISKlL2YjIK7xWiP0OsnTb2942bbPNNnnVOGJtHvMCLYAM0OI8rZO/YT8AZctIxNroahFVExFpXL9b3y4fIBy4N2n1CyYSkM/Wba3xayc+NOTar+cA+J3GgDw/Zagcmu3t1OsqgSqBKoEqgfFKoIL68cqzUhtQAoC9F7is5DarurYa6Z6XrHxEBZCXbD0A7uX5fWR5Vi0jpg8arVYCP4BNk/9FPbdSHzG4nK3SRwxeb1HlOI5+GR/SOGj1ogGQA+dsHdgfZt89Gr3aGOReLVslUCVQJVAl0FkCFdR3lkvNnaIE/JoHkA74AfNWIP/iL/4iWZF33mt1WHl1rfg7up4i67kpYMd+5PUAXCIivziXOz7Af1bq6XeAKrVoHxJg830UW7MiJuAm5vS/ZkzUhqsEqgTWowTWZZ8rqF+Xap+tTkdEAuwB87/+67/evLVmEBAINNzqVrdKVu+nsXrZlCAwbyuOFftmfj1vSSBi+Zc0Wjn1/3FJgK3bmjYueuOk4yncbW5zm2RsjpNupVUlUCVQJVAl0FkCUwH19lZ2Sp1Z6j8XTYDKsf9anUuOiw7q46SF3qymbnKXLw3Cd0TkPfJW5QcB8802IiL/pJoVfpOEiGjeHvpcX5o6/b//+78kr0nQNWBv/7Dz5r1O58qg2eneIHnoSOqUo/NuSRntOnYrM0h+N1rol3uentDrIHS7lW3S7VZmWvl4kYZpT70in2HqN+sAz83rYc/x1Ktup/vypPZ6ZYWe7pv3lJXa88YliybdQc61L7XzNgiNQctqq5ma9Ut+M6+c97pXynQ6qtcpf17y8D+Mjpr1nJc0S/2eRZ7GKR/9o7tZpzlO/taK1laTbNg+zPJi1W9/+9t00003JcfyopX7lN2JB/m9jMAvLaD3jW98I/kFBted6PST52MpP/zhD9PPf/7zhKd+6nQqY1+11drvfOc7ua+j8NSJ/qzk6ZePMHlZjn79pF3hjfx+97vfJToGckt+tyM9S93uD5NvUuCRv60J7aACPe1JzldLynlJkE4BdnuK2ckvf/nLRN/t9W3F8eshne6Vsuzt17/+dfriF7+Y/EJIye/3SP7a+f3vf5/tzIuM9CDhtxsd9bT7rW99K+lTr/HVjYZ8begfGyCX3/zmN7JXJNuRfvzjHycy004nPayo0MeFNvH99a9/PfsR/emj2liLaJPs+Zwbb7wx8+HXX8ieXvtpDA1+8Ac/+EHyCzP91OlVxnsOUq8yve7Rj3GLJzptliVzeca6xLbLnnrjnj7Ua+Z7cuA9l6bOtcEfkFOxCe2gz36/+c1vJjYjb5oJX3TA/3/pS1/KMcDLv+PioRMdfSY3Y/FXv/pVksiWfPBDF+Qkvokn7AUdR3ImL/61X99hvLJZ/sI5WqMkNKRRaAxSV1v6+pOf/CR997vfTWTSb33yJFt+ylHdn/70p1nm/Y7Xftsappy+0c2PfvSjJJWxNQytadbBt9RPm/yEmEkH45K5scD/fu9730t03A8f66XMREH997///XTqqaem008/PZ144onpgx/8YDr++ONz3qGHHpoEfcrpJGz5BnI3hQmkn/3sZzNdznGUwQCoAQrXX3/9SEHW4DTJ0GfGNgpPnWQyK3kG6be//e10+OGHpwMOOCAJiAIV/gSbT33qU+mEE05IP/vZz2T1TGSPXr8Ooiexxk3A3nYc4L65SqwdQbPw26jS8ZQdCvZnn312Al7VpVu23c1BsVsApZPtal9Av+iii9LJJ5+cBOmODXfJVF9wOuecc9KZZ56ZJwZXXnll+sQnPpHOOOOMhCdlOlU32frMZz6Tx6O+6Funcr3y9Ekih6985SvprLPOyvpvrwMIGlMAH1mPYwsGWZkIHXfccWsWAG9aWpg4//zzc7/xcvnllyf8nHvuuUmf2+XQ6ZqOBDl2xRY6lRkkj2wB6YjhnkyR66ZNm9IxxxyTvva1r61oGuA977zz0v7775/23Xff9PnPfz73kw2YHOr/F77whfS5z30usUsr9LbctI85vpG9qGNsRkQOxoDsxRdfnIyvcchiBfN9XOi7Pktf/epXsz8DFvqoOnQRscvYf8tb3pJK+vjHP55lX8bVpz/96XThhRcmsjFWNcb2yJmtySdPY8u9Xol/BYaN/XHEJPSkbn6mFy/D3NPHX/ziF4nPE/P7nZzgj37ZqJhkzJmMs0H+W+wZhp9x1iFHYJ798yd8wzjpT4qW2MFWybhXG/yESSjdsedxTJi1SW50yIfipRcPc3JvbGxOFNRToD2fD3nIQ/LPrwFDnP1d7nKXZO+0wdpNIcDhJZdcklcyKbG9x4KYfAYDRDGe9jL9XvvllAc/+MHpPve5T+az33rt5ayWAZJWWW6++eYctNrLLMI1Hdr/TreCjAEr4Oib/luhM+is1snrlkzGBBtgYBT9daMfEcnWhALs2RuQwqlbLexWr5kfEYl9CCSACbu7733vm+5973sncmiWLef6AqywgZLXPKoXEUn/Bwks7J1tcY6C3J3udKd0v/vdLydPJQR/PGq/2V45tyXJPUDbmEGv3Ov3aLxGRP7GAHqAWCcwS+YPetCDkl8u8rJzxHCAMzX+tt566ySxF5OmYfhvkBv41NMZYMqEdtttt033v//9E1sAYsmeTPshSv8bNmxID3vYw5IXwvup06tMRMtGgeVe5brdww8bN4bJtsiVbbJ7wIhvfOQjH5n4buXZHyAssN/hDnfIT0vJxZg3yWi2JQ6YDABVt7vd7bKPjYj8wrWy/Ca7Vq5Zbxrn2jUpZsuPeMQjkj4aS5Ns27hH/+EP3U34OAAAEABJREFUf3h62tOeltgCGZO7VXsAlD7uec97JhMmTzHogQxvuOGGHKfI7ZprrslPRPk19LoldS+77LI88WLDowJHcdyEfVQ63fhtz2fX+svW9EVsaS/T7Zq/IB8TKT6DXzJu73Wve2W/3q3etPLFSrrmt8Uk/nlabQ/bjomhia8FzNVsICLyllhtWVSiC+ejpIgWTTo0ZtnHKPQWre5Wk+zQ3e52t/SMZzwjPfnJT87BT3DnqDZu3Jh22WWXJDAKhB5DX3311UlQYNjSFVdckVcUrSAJNh6ZmcmWa07YxMDKUESs6AZD4xzN4pR3DsyZEaMhIH35y19OVuY5Ck6CYXAcBr4ZIODnSQKHrxyDtDLCkQp8jBM4EtjwjjYagJag4NwAtVp93XXXJWX0YwWjc3rBCQlEJkJ0bHBbBSIPIEXgp1sBnAzIHni/6qqrkkdw9CuYmrRZbSZD8lW2m0jcU0eAs6KmLTqQACp59ARgmuhpx7XydAmgqH/BBRckKzeCEv3SNd4EKnSs5LBDfWI3Au3tb3/7PDnAG+ChTcAGaBdklUVP0qYALYiwNYFYu/gnB+XRRwc99MkDn/okr1sCqMlKf8j9SU96UqKD7bffPj3rWc9Kj3nMY5Iy7JmNs9VNSyuwxV4FNCC7jBnOGW9kV8aJuvjHI5mQkT54GqMsmng1aWHrJnHKKyvpC/mQt/GkL8YCMEEe1157bZ7MKONet+Q+fRin2jT+gT8Akh9BUxnt0bXxhUd8CZDO8WnMaZOPwZP2yn20AU19phuP9/WX/1CuPdEvWd35zndOj3/84zfL/ulPf3p66EMfmt8JoXf2BIyRB3u0QIFH+fyJgKhNAV0/6AxYoVc+hu7w7xo9dqEu/vDO7tzXL/xoAy39Y8/yHPUpLf25T374WLrc4p+J74alSQb7aN40FshI/Xvc4x7pmc98Ztpuu+1yP8kTH8Y6G/QeC/60ydabdIxHugCwTIKMHXrSB/TJIqLlw40HvoCd0ym/KkagIY982AV5sieyZJf4QY+tG2Puk5mVXWXIpsmTc/W0j64+sqsHPOAB+YkDXZM/GdCBc3aIprFLD3y7cvSMF/dK+8qyef3RVjOZBJLlG97whvSqV70qPfGJT8yxkAzZn/4Dno961KPyeKZL45Es+N4ddtgh3f3ud0/4l4+fJv3mOdvSB+OAbvhgMa5ZhvzJiN3wX/pAX86NMf1wzX700ZMbT6vwxQbQdx8vfIE6TfrDnrMj9PlXskbXeEFPv/BDd3RDR/LIggzZCXtUHk6gW/TQKDox5tBWDh32RqalnH6hTS7Koq/tcSR84J/c+CBtRrTGgD4Yr/jRtnJ4lowbtq5/yvB/7J0uyIAe9YUPcW1M6CO98RdkYyxpl+3zLehqEx/smJ2pi4b+swNl0bCI474ntOK3+zAUOnhiA+rqD97UxZv+RrT6N6r88Gs8i198CfvVL207imV0qk+jtjWP9ScK6gVgzqddMIKzwCiYUITEcQDynDCjsJrBqAwmCnLPwGaYAqYBh27ESkNhTJy+4MmgAWrnDMuq8lFHHZXQkmwFYuCcGLCHtjqM1VYGRqq+7TRoMFCrKMoZUIzHAGLsaBtQhScOAG2DB/8GC4Nzf1FSCTB3vOMds0wFMk6dIwUy9FPw4xDIn3ysMrsueqVTjsoANFjVaU9kSXbshOOhE/oT/NSnM/lou0c/Jgt0KojJpwdOQABmOxwl3QlOaLnvms7xqi2rWxxW4Qd/dCpfWefAg75wdNrj5PBC5+yKTC699NK8VxdNAJkD1L5+oc1RsiXy0Ya8Tkl5/XO8613vmkweSzmTKMHe2DJu8Kd9dsc2jSe0IyKvkHKyxgnZGHts2zY5clafnXvMjw6e3RNk9NekiM3TGV7wbQJt3Chr/Oo/OWkDfWOWrtBwTgfGauG/eUSTfOgOX3jgF8g7osW/uoCYfEEO37YsCILK6bMtDtrDE92gKQCwAbygTffq41mf6Kgd1JMbYCl4smdPIDyxiWjxYtL3uMc9Lpng4AcPaJNTsSf+hEz1iQz5kzIRZi/sD0/kqJwyF110Ud7Cxj6MGX1h82yMDNkpOmxH3/SLXzIZZXeCufGoPt7ZQFPOzXMTsDJmSz456K++G1PadM12yFg5k3hP7UwWBXH59OdeScanMV5+mQo9vLNldsBG6EV5YwNQVocMjR0yVIbs2Ku+0pMnhGwLbbojF7Kka+OfbsmQToA19JsJMKB3dkROeCd/utKuczJFlz7YiXz2RMb0YZshuZA3oOM+ubM/7bYDaO2LiSY3JlHaBrYBenZm7AH9QKixDJDiXX/5IrI2ORI7ARoyKrJDuz3RCXlZBDABY3P8FR0qW3wi+6MTNsum2DDZsQH2YyyTBRnhkT7w7sjHsF12qL420R41aZeNkKd22D6dsS/+hY2wabInb7aAF/fwahzxTfoaEXlrIj/NTylHpieddFLe1sO26E97bFIf0UCf/dGl/o7aJ/X5Lr7ZmDYutSfpl/v4YnNsjK2xY+NCHbyQNXvk7+iDfPBPRsqwR0k5+uYH9Red0047LdEvn0o+8tkD/ynpt5jI9pUnH/LSf+2xN+XZCv1I6hRd0AMZ0gW+8It3ia3p36jJOMGDscYfGB/aNW71W75EHsqO2t681Z8oqO8lDAbMATMqzsuqowHLoBgKxwe0eBzKgXEuG5ZWkwAJTt9gNTja25Bndi/4AJsMiXEZIJTPKCMi//QhJ4QOZ+m+AYIHzgNvHKuVGwPPtdWTiEgGuwGgnW222Sav4srjMAo/+FVHvmCJFyuk5f4iHIF3/XrOc56TtxEY+AY0eRpMdGyFyAAT9J/61KfmPeQGHjkDosCpLSQmgOTUSS50ycHQFUDFNgRCjkLg4VQEOjqka8CGQxNQtYsPThAAsaqtXU+MOHt1tCnPkeNWB//64lo59yTn2pXYrckp/tmdYAbgCSoAAOAHwHCgZMNRskdPqjYs2TIghaanTuQgmEeErI5JG4JMROuXgpqFtCXgyyNfIAXI1y9jTJBuBn+2K3AIiGycbXP2wJsAox3yBjb0kR3TpbJsmxMnX3ICLtgB+tome/ohW3o2no1bfQbAAAj0yRK/7Uk/8Y8GUBMRSR16LmXJ1bhkF2Ru5VwgIWfj2FhnBxGRV0HpAz9oGPdo41u+IOocHandDvFDtwAgnQNjbL/wIo/NOJKZyS5bQxvf+swXsGNbLvgMdkUG+skuyIwOrIgrjxZ5C17sg8xd05s8sqMbfRXQ+DX6oytPDZSnC/3lP/GH78Jz+zFiS7tTx5NW4xs/xjE+jW884gFvdGRCQ076yCaa9MlEWf2OiLxlBKAxFmw/Yfvoq4dntgWE2raprphA3uTKZiMib33jb9kg2hGR9M+YIhPghv/2NEm8MF6bPDmna08ejDuyZ5/0zE70C19sSH0TEnLVv09+8pMJX2yMjvGurnPjxFjAi4lG0ZX2OiU2ywbw4T67YIv6GxF5q5L+4YtO3VNOP7VrHJC7vPZEnvoCgJGl7Qp8E/nSn/LkAnjpFx7wXcaGsmjzzWKisvwmubAzsmXXdIZf/QAijXdtoz9s0i798u9sAQ5g78amPgO7fDrbxq8xzaY8RfCE+IEPfGAG8fqFFj7wpN/sg49jO3TGVvhOcmZfxgx65ELG4odzMii00Bs2sXtxin2IHXyXsYE//NripwxMBDPwyWIR3oxx8mCvyhgTEa0xpT/0Z3yyW9cmdMYsLOVDjfwjsIuGtshQQpdM8ME+5LFxOtAOmfI/7qFjUspX4R9v8JDxRkb6Rj/innEk3qlDd8PKrL0eXRl/7E+M0U/+FA90iU/8jkNf7W3P+vUUQH1nETAUDpAjoAgOgrMwgBgSA+coGAXn676yDFEZAEKZdurqUCqnYwAzbOUNDobJaD0ut59VHgchIBkMHCXHIZgpy5EwWu0DkgaSozY4E204F+wZmcFU+GHAggUnzegFYwOr3F+UI5kBervuumsyuAR+eqVf8jDQOBGyIFcy5PTJTF1Ok2Ny3kkmdEx2gp/7bIQT3GmnnfLPSnK+7ELb9tcJOvQlsNoW8IQnPCEJuOwlIhKd07cgTcecDZ5sXWET6rEXIBRNR7rVtgTAsBXOQrBjH/rIuagveArk+sf20Of8BA5OEn9koa4AHREJH8CNctpYLQnuTZ6Uj4i8As+eBQuTHP3EExsV3AU/ZSX8cfwmA/rDyeOVnMkcKCU3cvH+gHvKsH/nZCTRH7Bgix35a1fQ1DZZ0y1Zq0NPbEI9+sBHp2TsGMPa11f1yJsuSnl+AKjHq7bYhfHItsi92MDznve8BEjzI+wIgBcAgCRj2F5xvBn3JnyPfvSj87790k77Ee94as+PiPx77MYCGWhLX5Vj99pA3zYpNsLO2Ly+sR/9018r/nvssUdedCAH+fTHVtBybqJGPtpgo3SJhiBGDtpzZIeAmGsyoDs0+k30Z3X3sY99bALs0WEf5Et2dM9+8MQe8ci/um62QVcRyxNRPKGDHt+v39pSB4BWnj6MFXICsujZNd0ZS+xc3407Eyd8mPCrZ2yxyY0bN+Y98nyRsug3E37VI2f2oa72yJeugCpjBnjAK1kY78ax9tk1f8B/KM8O1ScvY5l+yQrvzXbLOZnRGTvBLx7QMDboXTm8k43xiM/SD/cjIj+tk69seyJHvhfQohM643tMIuXhS6xlR+gb5zvuuGPeLitWaQNNclJfeef07qge4I9/PBt/7B+/yqo7bEKv2DQASf70qm064c/YAZ9AXyYk9MT3wApAvXFkHBT50LV+8nf8kjHk2tgQ6+mAvPkQ9MkOfW0rQ5+j9os84BJ2S258KlnzVxGRf00LCOdD5PFP6vBb7M5YV0dse8lLXpKU0Rdl8EYv+KQvuiYzvsfY4HfYnH7qL1vlz/BiUYAv4tvYL1tXT322Lc/YxjP62qQL7ZpsmBDQi7FA5sY3XtUnZzop5dUZJUVEQtPYwwu+yIFcShwiB7obpZ15rTtVUM/oJMJyZNwUz1AYIUUZZBxhcSiMkMFYbeSkGIlB4D4aaDWTPAEb2ON0GCbjRt/gduR0DBpGprw8xhHRCszOlS2GW44Mxbn28C4AGRAGvYAgHz1H5QQhTpIj9mhIeYPG/UVI+ioJRiZKAIvBbKWBfPTVQBcA6S6itWpK3mQSEVkMaEj5ou0/+eyBnZggGajaM5DRBFwMbvtSX/Oa16SnPOUp2dEVXRVdoxPRao9u2RAdlXLO2aEgB+xyEmyE01MXWxEt+1DftX4IAB45CxjPfvazMyDUdwGU433uc5+bAHY8C6T6oi4ba6eLnnvdknY5LrIzJgSgUtY5eZAPOUnGDmeqr/omUCqvXeU5cXT0UV8FR3Xc0xYe5Rsn5KMeebkudCIir5rqv2Apuae+chGRfz7TkwJ2IJDQnXaMYWU3p1tO5Bu7wAcQZwzzDW6754hntoV/8sAXneFDP/Eu0T/e3dcv5ZrlATcAABAASURBVNEAPnbeeef0spe9LG2//fa5D8pLES070Y5EL/ySca4Pgivbdk9CFy/0blXUqhU58FVkRhbaJ0v8kYuErnpsmy7wzU74EvJR1xG/kmt9BXJN3NAFeLSvbbzhKyISXiMiT7S1o1+O+B0kRbTAuDEGqKKPJ0CcjeMf32wP7+xNW8028BkReRIu3xgAyNCKiDwZimjJXD/4b/ZK5nRK19pEm0+1EmiMAthkwbbIV5+1TbauyRqP2lwtRUQiH/XUZzPq45F+8AVwA65p6Q9/ES3eS1n91P7WW2+dXw50je+l4lv8o0s0yU999s1mTLyKLahrHIhfwBJ+XKuLLzbBH+B3iwaWMtgp/wRkoWUCxU9adDGZkKctfgndiMhPnfFPFtpRRjvOpSWym//ROV0ZzxZPXvrSlyZAkx4iWvrcXHjAE7ZsrPJneFCdbCMi//QpftmGidduu+2W+F739YdM8c9m8W58qB8Rm8e5+/RD3/pLB+SrnPr6xf5MDF/0ohelF77whYkfUk+ZURLexS3jhkzRxAtejQ22xTbwrY/0Ro/kgS9l8M1PsAPyQUdyjo5zNJUjl9I/bclzzW5ca4u82Qm88spXvjJZ3GB3pa5x5Bzt0ndt4BFPypLVK17xiiTeoauPyjvHS6k3jiN6+ImIzeNWv+iQz9cm/tI6/JsKqBeIDBQDlAEwZgrxONOA4nzMihkuhZh1CxD0ATR79KUucMJoDVxlHeUzSvnKMzKP1AwM5RkVgGMWr2331VPHgMCX80JHWQaOR/fQca6Mc/fUF1jQ1Ia+KMv5G3jKuGcfIsPi6KyYypPwOc9Jn8iLPPWZXOQB9VZGBSeyFQQFXtfAskAumAAEnBWnQrZWV8idrtrlYnBypoKdR2oexXvy4dEeR8OROPf40ONXySoLfdGDwCNpRzLo6Uogw6N+4J9dAAgAmcANSMgDKvHGhtHhkNGRrKjY/oF/AF4egCHI4cHWFnbiUSZabBrvAJnVSu2ip756xoF222VQrjktTlewMmk1LsiUTZGNSSM9kLk8dI0f9gmQsdXSX7IDCNTXbumnVRz60hdl8YdPia7lO3cPrxGRf6GKA2f7xvP2SyCZ3siM7KwyqcMe1JHHduiIXJRDV3JNzmSkbTxHRHKuffXQ4tQBcwHOip6+uu+pB3uhe3SV1w5+JXqSb8sK/ZAj/oxpQFHCQ5G5Y0QL2HpqAairhz8+i5zZAV2wHfn0RNd401eyxYNrtNkd/iSB2URHXXtXTWTQV07glc+W0NAX48cTCjToCX2+DygEQqxa44s+2DF+9Y0d4FV/2pP6ZE4+ZOvIjrRnBU+b2se/1Vzjlxz10TjSf/oxwWBXESsBHZ2wQf3VNtAnzwTImDMWinysJiqDpn6ja9VQX9TxxICtOzdhFgfYFJ2rx4aMb/3QnvryXCunTEnsQLvu6SsZ6KM8dZXXJzbIfxkneKUvcqUjdSX10CO70n7J7+TXyJduHQF248X4MGkhK3Jl13gy2SYXPhNf+HDfWBMr2UnpkyOa+GEL7IOcgHkLHi94wQsSvi2SoU+f6LA722j4EDo3vpQzATAm0CEjdoc/fdQWXbJ52zrQsF2GTtwbJZE5kClG8LF40D5bdo8OtGuft3cb+FjjgX/3PoW+WGwxDuiBHCW6dZSckydZuXbuiD6bs0BlOw9Z2QLDv5DtKP1S1xMe8Yxtomt8kS/7oWt9k2cM0BG78ATPqj2b9B4HH2GLiz4Yc3hXlm0Y567Rd7/0n87U10d9LuOC3zB+8IImX8Z22Lq6EjpoqsMu2Ct9kImnIsYHebMBK/d4Ypf0Qo70UNrlb8hhlISPwg+b0DfXeNU3R4m9jtLOPNadOKg3CChf0BUEGGsZ9IzUI3sK98KDcq45MKsyjNvgZASUyOiUpSiGYiBERGLEnKm2OCOgRx2DkWE6N0DQN6P0yBCYMVjcxxvlMQbOg3FERHLOeaoPsCjLeAw+wI1hc3omEcqgY1A5Z+yMilHLwxOHbQBpa56TQa1/AjI90Ik8fbMHF7Dn7Dlkwc/ebgGa8wUO6JhTAw4AIEGaTXQKfuTEbtAgQ2BMkq++IM+RCyr2c2pT0CF7+iR7umMbnBwgy34EBOBHPn0ri382wSlxkJw7Z6UcunhkExwjHQODbAkwY1sAvECtDU7SZANfeLHyIQCTlac27nF6ZGgi4mUmABMf+tYpsTcOVGBm50CgSY6gRw/kA+wI4MoaL5w0oA5os1uOlZz1ASg22TROTDbw7Bc31CUX5YtujD9jAf9ouKeM9sjXODUGPeYFMJ3j0ZghR9de5nItQLAH5+yoPRljdEpP+CJz8qZL4xZd9IwnQJuOTKDle6ysPTT0w/ikP/LkJ9gMQGqs0gO56QP9kYOEtvLNhBYZ7rrrrok9ehrFZ5EvGfFXaJMhAG3c45/N4Z8NkJ2+S/gjQ3KlU77OxJS9sDXjxkSMLWpDeWOMHPgeumBveMUbWxL42aTkPn7pnpwFW7ZKZ81+OceHcYkO3TpnH2Tj97O9MC3Io2XCqK9sBxjlg4EA45jd0QGazUQu+kQW+FefnZG5/ekmtPpmzLFH9/lUdo1fq6RsCmizIsx32A5B10C3eAGEsWvjB0/krd90gSeBX16TL3bHntiauCTRkXJ44xfwow2yYL9ks/vuuydxRH8iWk+ixBftqIN3PJAh+o760WzbNXsEftAnezIyeeFD8Q248ZX6yp/adgjYs3X65VPIiuybtMmYzfFF+qJ9i2X6qRw/Z/yxWz4DfXx7cZJf5L/QBT4BZPrFL//HXtkmOzGG2C67wCvbZf/ailg5sdPuIEmfyEWf+UXjDc/6Y1zhmUzYCDAZEYkdWFjSd5ML+hUL2Ld6dMom2Ajd0WVEJDp3Ll85toiWSYW2TRz0m1+JGK1fZEA+FjTJ2Jj3Yjc7IVNJn7UnXtIhfRhb/BZ/ZyyShz7gyX00jXGTMvrWBzZLBnTHXsjPOKJHvoAc+Q92YXsNv8Qn8oH8CR7QITd1yzVbIXvt873s0NgUl/lEtmy1XrzTjh9ZYGvs0jhBhxyGTfqDJ7KiX4sDYhC69MuPaMuYp9Nh25nXehMH9RGR9z95NAe4vOlNb8o/x2XQeqz04he/OL3uda9LjIDzBggZCIM46KCD0mtf+9r8iPxDH/pQevOb35ze/va3p3322SdxrHvuuWc64ogjkpUITjYi8qNchv+BD3wgvfWtb81JeR/5eM973pOOPfbYJPhZtRBQPGpyrfzee++dH7OVNhgrp+rDIB4rCbKvf/3rc/t+iuxd73pXev/735/06cMf/nA+Ap8+1CJPXzzet88Lr7aoGHzzaiyFb7rjSGx30U+OXUAymK000KnHoVaA6MWTCnqkF3IQmOmY3N/5zneml7/85YkDFRRLG80j2kCAsuSsXboRdLZfWhV+73vfm/XgJ+Ks3Gt/v/32y4+COc+99tor7b333vlnB5WnMzTe+MY3pgMPPDDbF1qcJhvDo/2Y6qBFjz6c5mfo9AE9drDTTjvldt/97nfnn5SkZ49qd9hhh4SGco4cpsBnlZ1tPf/5z899/shHPpJ/zg44IUNgETBp9r15HtF6cQ59dNiux8+CgDz2iQYe2bs8Y8M2E0BIMPdTsj78hncy/bu/+7v887KABJkAa+RgvOkX+emXc3WAij322CPbusBqXOizPhjD+ooH44b8TEDomRyUo2s2g2/lBBZBiBOWXOuzCf+rX/3qLCc6oFvyww+e+QoA0xjEj5ewjTWysPqoDeXwuHHjxvTRj3400xJI8UH2+oQ23QAqxqc+dBuj22yzTdbXO97xjqTf5MuWBVwTDDbEx/Al/IM2yFGf+QR88nmAjzwfbsMbOmiyMTqQR5e2FbBVbbFL8qQnev/Yxz6WlFWPDZvc8onGAmBDVuzA+AOq+Tu6jdgSlOgv8KottPEnWJILvRnLkraNe+MamJBHlvId6SNiS/raBSaAAADLJNiYIn++wTjRHzwCU2QnXtCF++QBeAAa9Ee39MqHKMvG6Yaf0BaZkwubZCfiCB4BaLZVEj7Yp7ikPTLgE/DC5tmnyRa7Yn9sjL3otwmNtsUfZfFIn8adsYwuOsqSV8RKufCVxhn7MamMiPxODH0Zo+RDh9pjW3wu2ydnNN3XLrlEROlSPvKjdIcXdkNm8pQlHx+qE9OMSzaLHpmxXTZn7CnHltipNt0nd7yUvhV/yC4lssOTPmRGRvgvIhJbgw2MJ7bOXoxjMuM/jH18KSOP/Rkrxv3b3va2hE/xyNGH00zIjQ3jkv90feSRR2b8wW/oH/r6YOywS/FGv9imfkWslPUwXTS2LH7QDTs1bt/3vvdlbCMO8rPaZLPsl67pkOzJQV/wxj6MAbrGO7zDjulRQkfM5Hv4ZX1n6+y5tA8boSORMxmTIRmQ6yGHHJLc46OUZVPkLI99GHvsSNvq48NYQJ/voCPt4YeujFt2OIzcSh1jxyRem+yYLein9tkuX0hGZEc+pd56OW41jY5ytlYEGKyAIYhQjLYJnYIMYIBBsJBP8QakgGRW6L76jFt5QZgzdM45c3rqRUReSVNWHSsfyqDDQTs3OCXn2hQQ3EObk8Ojc7zhR11t4Vt5NJWTL/gqi1f56shHQ5/la0cZq8ARozsF/VzLFBH5hVOyoAdApehT8CBbOpEnuS5yIBfBNaKlJ3KRyDais2wiWtsf1AXY6JYstSVg4sGqjjbwAkDQAR3Rn/v0q4526MM1euroB10pKw99ddBge+i4Rpd+lWEP8vGuvnuS8njQf7aBhnY5cvTZCCdc2rDqYLUEXbwos5pujQ1toi/hjYyBnoiWbuS5hz+0jQ8JX9oB8MlCX8o4wTsaBcyggZ/SH/0jb+W0L58M9JE80aRbOndPu45ouI8X9RzxQSad+hrR0rc6aKuDFzpCTzvqWXFiA3SBpvvaJx/9kmds44Pc8U0GZCVAsiV5/JN62tAmmuh3Smjj5+53v3uix7/5m7/Jv/yEhn5rl9y1R8cS/shcWe2TMV7lkQ15axs95fVRGbIF/OjHpMw9vKOjDXasj/pCJu4p6x4+9Cki8i+ouHa/U5/0l43iAW19jIj8E51oaVtb7hedRUR+SRNdPNCnvnWiTwdAUUQkK4kmrvqtPwAw/vUdDfZFNqVNMij8oI1X7ZGZazyxy4jIoFi++/K1gRYb0nd11SmJztAnM/1WXn+UZzPK6y/Z4lWiS3LFk3NyQVtST32y1BfXeGMXpc1yjIj87g8a2in5ypIX/tkiukWuZINftqWevkZEqbr5GNHSufpsVb2I2PzBOHYn6SPa+k0GABG65KJ/2rG45kg/jvL1iSzwQhZ4VRdNtqsPaQx/eNOGcSrx8fjEt76TtXx5ZI5v8mKz+KUD48iRLtDCu37g2TX9kRGZOyqHPt9IFuiwT/ebehq1e/jCP/qSvuFLu/TBhvVLnrbJlDzwr8/6yC7l06/y8vVHPUf9YwMRTaOyAAAQAElEQVT6hAY50JsxQV76qx6Z0Rv9GY9k477+y9OOMnhRh85du6cNPMs30dW2unShHj7lk6FzfOB5VPmxQ/LDk3b0U2IX+infER+jtjVv9acC6lcTisHCeTaVHRHZSUdEru5eRGzOi4ic3+2/Qct3o9MrXxtSRGzmq5SPiPwCh/sGoz6mdfKnz1Kzu/pvgLXnR7Rk1yzb7VxddBybZSJaT2giopnd9Vz9iJVl6YjD5Gy1ERFZf2mEP3SkJglta0s+m/e419EKBofoXrN8r3P1yNSxvZx2Sl/a77VfaxONiJUyKeU8brWaXq7bj+pKEZ3rK4+fiNg8TiJCds+kjhQRm+s1K5gQ4c1jVgDf0SNZq8GAY7Ns+zn5SyU/IjLokRcRabU/5cgef82yEZHtJiIyz+33U5e/iMjtN8tHxOYXLumoec95xJZtyKd35dMtfxGxBe3Ux19Ea1wJ0oK4PrdXkye15zev2YagbqUZeLCViH4Kr+pLEbG5Gv7V25zROJEf0SrrHJ3G7YmcagdP4ySOntSJpj5J7fciIusyotX/NKY/8pea5LTPlhz137Hcj1huPyImwlNa+ouITFv7ZNXOA56l1PhTRopY5rFxu+/TiMhtox8xPK3U5S+iNb70S//wXIo6l6/tkucYEdm/uB+xzJNyaEjOpTTgH5rqRyzT7UYiIjIf6Za/iFZfIlbWxQc/6SjdUrweJiiBrSZIu5KuEpgrCXA+gL2Vj2kybtXB6okVmmm2209bADLg3E/ZtSxj6w4+7bW0j9TRfkr8A/9rydu0246IDEbSGP6swlm5FOyHJRfRenpkRdJqnXEWsTL4D0u71qsSqBKoEqgSWJZABfXLspizs8ruJCRgdcSq5DSBvVVLK8z2HE+iT8PSBIaBY/wNS2Mt6nmq4AkIeVrB9xIV+c5bP4aVXUSsWEVLQ/55zO7R9iiAvtk0OlbqpYgK6puyqedVAlUCVQLjkEAF9eOQYqWxUBIowN5xWh0DoP36ABDtfFrt9moHP379oFeZWb5Hjlbw/SoCufqFCUcv4wL47s8y/8Py5jH6ikfdQxAqK/RoDVG9a5WIyNuSuhaoN6oEqgSqBKoEhpZABfVDi65WXGQJAPRr8aKNFWV7w4HRtZSvlW7bV9aSh3G3DcSTr58StHqvf7bnrLWsx93PUekVQD/qxGBUPmr9KoEqgelKoLY2/xKYGqi34iegCqzDiE09YEcg9nh9GBrD1rGy53eHAZ15X70cVgbd6tFFJ2BEX+RG51ZFu9VXTn2/ANNezrV90ui019cufTii0X5fXS/k0Vv7vV7XaKFpddd2gU577NHGszLOe9Eb5p4+430StPvhh7yNs0UFu3RMf2V7jtV78pbXSz7uK8em0ehVtnmPHslU/Wa+c3TYkeRcnuScHdKDo7z2RD/GjTJlLCijruR80FQAPdsftG4tPzsSYBtsThJ72SDu2IVr+ezKtfxZSeKrOG+szBpvsyKjykeVQC8JTAXUC1gefftYRXEuvZgq9wzq4ng4qeuvvz75GIMAVsoMc0QXvX7qKufjNT7IgH8fNnAclYd+2p7lMgKDj3b4uI8PKfkIBYeMZzoGlHwEhL5uvPHGBHy410xka8VUGYlc1ZUAWx9mku+DFcC5fPWBKh/DcE+7gBZa7kn0K2j5CIyPALmWv1rSJ3uwfYDFB3F8OEOen+Gyxx4dbfuQBzvwQmbhaTXag9xHUztA5yD1xlFWH4FEQXUc9GadBrthm2yI7tk026ODdt7d96ETH3VRr/1+p2u0fdTIR6R8LMoHtNgmObMtNs+O2Zq2teseHfgAEfs2Dowt+drQNuCDLno+uOLjOXys9goNZQdJ495DP0jbtez4JED/fAfb8aEidlRs2j02xzeyG7Y4vpaHp8S2xVS+18euJuVbh+ew1qwSmA8JTBzUA+UClq+NcSyDiEVdgQ7AcA7Uc1QC3CB02styZECi4Nh+r/0az77o6ENVwKW2fT1TcBeU28uvl2tO95xzzskfzPARFh/S4IzJVEDxdcHjjjsu+crd4YcfngQWAaUpHzR8TU85RzIGrkwCfYHOR0J8MdBnsemA0ydzX8w8/vjjky/I+sCLL7ICwU3aygpcbAZPzXvdzvHj64E+8OHjUj5uccMNNyS25xdABB7A7Kyzzkra1EZEdCM3Ur622JrJkfORiPVZWTvAIpvvs8rCFNN3dsL22AHAw0fwFezWfaDeJBbIZhP9dF5ZHyjyURbjxMddLBKwY0D86KOPTuzptNNOS77oyY4Bc2PJR4L4GR/IMSlQBx90ZFyceOKJSb5fk2ErvqLJP9Ifnvvhr5QpK/Tj3kNf6Pd9rAVHlgDdm+zxuz4exX5sOZPPbi+55JL8AUVxjN2M3OAYCODNQsnpp5+ezj777CTuG49jIF1JVAmsKwlMFNQLQFahOA8fJ/DhA0FDcLISJTgJogY04A4MAjHuueaYBD0ATx1fGPTlN7+bzBkpB1ip45rDQgNdwZgm0ZEnQAt28vF07rnnJisW7qOtvnro4UcSXPHnQwY+ahARybkELAqgymlnPSV9Jkc/wejrfYC13zMGeAEWq9xWXHzFztc2AQar+QBLkRPbAPyBHl/y9IVYTvz8889P8kwCfbTCPb9xDVyzA5OD6667LgHZvpDHJq6++up00003JTQLfW36yqAy8rXNXhzpmW71o5R3BObQPeqoo5Kv5emfiYOnCcprx0QBX77252MX7FldSTtszMREYnfaZGNss7TN1lyrI7lfyrM3dCT5wKVxgE47v+qOK2lPG3gbF815pkPWZOGpDDBPNj5QxJ59U6Dc5y/oWeJHmn02RuT5gM/BBx+cTBSNEWOD7znppJOSdzd8qdRvuANe1157bQJuNm3alNTz1U4fgbHiaiWeHwPe2SFe2L+PsPjYjC+innHGGckTMnbU5KXXubHC7use+l5Smp979OjnQ33wy0+I8iN0zFdFRPLrXr4Y6ou7fBxbLnbMR/FN5Vpdts3+5ZOC8vyh/FK+XPOtbFRyLrlnHBhP6PDz/I08fk9yLq76UJKnotpQTt1Ci02rh4eaqgSqBDpLYKKg3iC00mR1y4d1gHEDFVCx0gnUAWoGPrB21VVXpQsvvDAJbIAMQCWAyQfq0JIvIAp6VqsESKu8ABdAeeWVV2Ya6HFMApxy6GpTYLRSIaGrDnq+dAhI2q7B8XBYaMsTQNEiQuBeX0wMrBhzOvLXWxIYgGYA51GPelSe7HD6ZEf2dOoreQAJvdNdkSHHLFjIYyMPetCDki/bCUZ0RSf09oAHPCABK2jQO7BPf84B6m233TYpIx+oFxjoAX0TPfQ9XQHWPTFA24SDTXXSnYmnQKdPj3jEI5LJhH4A6uVpE/Djy31WR/EbsbxSr09WTk06rrnmmsR2PGGwVcjKE0DHPt0H4IwFdfDInt3Ds/bIyjYP+WzVUZ7+jTuRl+BMd+OmvQj02CgbYgP0azLPJ9AXnfJjF198cWKbxkDpMxAFqBQAxaaMBT4DUDHR9c6Gr3Gyf+CGfVrB55PYmYmErzYaDyaX7BgPfhaSvbJD+99dGxPoXn/99UnZwkevoy03bBqNXuXqvfmRQEQkcYq98Y/irckp/yiZpN7vfvdLADS983FiNHv2hIjt8Y/8Dru79NJLk3tsCtgWG/kp8ZMvU1585uv4WE87Lc6I3+Iu2tpUVh1+xhgwXmxrVceY4ofwbaJL2toRjy+//PL8VBZW4C/dq6lKoEqgswQmCuoFJ05B04JXRCRBB+ABiAz0MvgN/IhI22yzTXLuvs8VG/yCGmfCSQhqQCPA5LG1AAYgnXzyycmjO4ERQBdoOQzOSJuCLechMPvtZfR9ipxTA/Y5FMH7sssuS54scEDOgUo8qa9MRItHfQIkgTXn6ykBK8AA/QAVrh2BCg6ZPuQB/vIBDroWUMiJLl0LEu7TB2dutZ9+gHrAFqDxYSZAyCoPPQLrAJYVJveUsSJKD8XhA8tolGBk5VOAssXBiidQJNiwT/yUhN873OEO+cM9dK0PAiMeBTnBC12TSFuG2Gmp64gP9q4vPialLfVMOgRLfSYjgYpt6Qv7dU1G+Mcz2wPoBUq2jx66+qidcSeyFkDpZdy0F4EeW+CH6IMPoUs6sv3l2GOPzSvjFhWADzotfeZjAGY2ys+4ZrPGDZmzY76FLUvslp6BMGPFuGCD7qFrDGgbAGJTnigdcMAB+ckW/4S2SYRJovKFj25HY5jN461bmZo/vxJgZ0A92zCB5D/5POOcbVkR53PEPz4yIvKC2qmnnppBvKMtlhYlAHV+CiBHi59mm2UcANzs1EIOGxZ72biybJZ/4+/5TnavPbHZ2JDPH6NB2hGR8Kg9T7P4QJMSizH92DUaNVUJrFcJTBTUAzEGocAmcFhpNFAFR6DFtVUCIBBAAsYp4sEPfnB+RAgAAXqOVmUjIgHeAiGHBGxtv/32yUovMMlxeIztcTTnBWQB5SYUHBpQxqEAXICi1TEgzaobR8RhmRQ4txIvmHsEbsVMmxGtVVnBmQNDk7PB83pLHLoEfHDwVrXJ3mNeQSQiNn8Ah24iWrJLS3/kqgzHHRH5d6vRUq7cWyqWwbUj2yFz54CPuhGR6bOBtPQXEUv/t/6hBayoAwgBxfhih7YsCDxszr1Wjdb/EZFpAnACDdDzuMc9LgFLJnAmgbYU6aeVbaCdPaZb/tiqSQC7EgjRIRdl2RO78zjckwc2VwIbGuzb6pmyJgLsCngTEPUDWCNr44mMbmly5IO2jUG6GJnYAhOgWzZE9myQ/9Fdq+Xsgj+gc/5DvhQR2Z7S0h97c3+XXXbJT5/oFC22GhHZ1ksePaelP/eWDon9R0SiJ6ub7Os5z3lOsp3RUysLGGxZOQDIpMC1ut2SvhgPpY1u5Wp+DwnM+C2+0VMgW3HEXT7IgpprdhIR+V0nT6T5cLFRTGY7Yin75P9seWWbYirgXcrzkfyH8vwcexRj+S6+TOw0abBgwJfih/8SZ630wwEW6Pg8ZUwCtEmsEZFMPPAqLmgLj/grZZSrqUqgSmClBCYK6oFqAExAjIj8CygGs6AFaD/mMY9Jz372s5MtD8UheIxtAAucHAl2DWoBCBDnGJwDbQY9p2VFgpMC/iWgST3tosOROHIs2hbIIlogEIDnTATlhzzkIckeVrxxYMpzbu4JghGtOhGR0AbaODRtrcdEt1YFAQ0TMduSTH7oxj2yARadywc6yIn86ZBc2Yhyju7RJfBLz0AMfUmAucQG0OLc0aUDdqJNddCIaAUE5bSpjt+cR9sEkK1FRH4BVvlm0hYAb7JnG446aMhnVwKVfcxAuCDIdkqQ0b4JoMAGmAtsbFxgA+rc12cBUH/JDbh3zsbxpR/omkiwZcDeY20TSO0IgOTCnpt8D3qOFhmaeNPRoPXXU/mISHTHjviBcs7/APQmXOwZMCFPoIXOi45c8zNs9YUvfGFi3+ryL2xfu5cSoAAAEABJREFUPhtA14IEWzVG1KMntscPsXPnbNLkcuPGjUn5MrlUR6JX9LrpSB/wi163MjV/MSTANvkxT/msqgPk/AzfqIcW1/gbtsh3eYfJXnwTRzYiNgPWzvlbIFx8Vp4f4wvFTL5fnLWybqJr8YT/YmNsWFtsUzI2LGgYH+hamNMuXpUrSYzlF5V1Lr/6KlKoad4kME1+t5pkYwa+ZBAb2Aa0a0FHYHngAx+YOAA8AOf2nipj3x1QpY57nIkVAQO65MmXXEfE5hWxtPQX0Xp8B3Da3lACoTY5Ekk9dDkNQAlw49SANcFVoOXstKuspN4S+fwPTQ5L2Zyxzv4jFwEBeDUJsj+TvIBcQINcABzgAtjh4OVx/PQPpAAnEZH3/wIwZG5ipSyaQC96AC2wC1QDRB7ZokNvALgAJY8ue6mBDt1nY47tCa9WUz0xQlMwA9ABLyAM39pkw8C5SQZ+AHC02IfJoC1i7lvhUpb9u0ce2rbKSxbqKUc++ilwNe8JvgKsdgE3ZbSDByvCxoPrQRM5oGlyMCyNZpsRkSe5eG8mY6pZbhHPyTIisv8hS+OCXI0FNsp+ACl24SkNOyoTPCCGbbFvZdmEiSCfaHwAT+i7L8+4UJ+dakN518pqm33waeTON6UOf+wRkFKmw+2atWAS4F/YFH9m26EJI1/KdnRVTBTL+Cexj88zhiMi//AA+4uI/DTVOZ+lPJ/G54uZyrNpW9P4FYCeX1QGXfbKNvl39okO+2P7fKjYz77l4cl9dDxZ4PfYuJjCv6PF1pWrqUqgSmBLCWy1Zdb4cgxsK+hAi8EsoNieYKDbo3fKKacke+48hpPct+JrcBu4nAXnY2C7DxQBegY7JyLYAe4e97nnUbRzAVQC0DyKNkGQrFbI42w4jWuvvTYBg9qwl9kqg9UMjsvKg4BsH7ZHluh4/McRcWqCquDIGY1PYvNBiWOlA3uK7VW3J9PP8dkXCWQLDACLCRVAQ9ZWuAENeyq9G0EXtrEA77aYeIITEcmKDQduRd3qJt2jaVUIKDIREEgAHi8paptNqQMwk6CggD6bAJbwarVHHfbhXD4bwZs6bNKqOZvUF5MVvyRiXykA7ZdF8K8M0E4GJqXspwRJdm7fp/bYBhvBH77wJx/PbBZg1x8vG+OBnJTFC7oCoPICmv6iYUy4r3+A/b/927+5HDihjTdjcuDKjQoAAf0ZA8CC82Yy/t0jH8DTOGtUn5tT8qZv/obfYUP8EPtyZGslsQFlydZ9e+29f2GLjMUK++Dl8UEWMejeJJJvIUMvnZMbnctj/+zW3migy5MfcmSDxgxfZMXeZEJ7fJYx4qlCu4D5V7rgX9vv1evFlQB7sFhC72yuaRu2IvJh/JL45101q/F8Lr/HB4mrbF+esujx7d5jY9eeJtofL576ZTAAftOmTfnFcTanvjiBlvEhFpsQ8LniKz/Lzo0lftkYY8eO2pTv2hjjOy0ALa62as+qBEaTwERBPUBi8AJDHIRgZFZuBROw8EsPZuoeYQMpAPfWW2+d3LcXngOxp68MdMCIQ+JgHAEGA16AFAiBHqAbDQFSYOSAOAOOQH3gyD0gEWjUhqAon2PhaIDEHXbYIQH2nJXgqo5grS2AyDkerZ6NpoL5qw1IABrAMXkLCIKBPKvNVoY8tnWPUwbyS1ABXr1QKN9jV/nqKSsgAC30RP70yCbYCLDDlqzWo00f2seLnwSUXyQJhLEnZTxGFhxM1Ngj26E7+eqyQ/XYjomb9uQD2F6YFoDYmvbxC4TZV4pHvLJtK0hAPBrawifAiz+2py02FREJENMmG0eD7bEjQFHQY3PuAcFszQuR2vcInRzwKpU+GhvO5fWTgD912Hk/5dvLRER+x4C8yVfQBhbIoT3JJxt9ASbV0WeyoltjLiLam5jJayA9ovWSPBt3zZ7onE2wL/1yXWQrn15NHvkp26gsHrAJZUzo+DB259qChjHAJ/F79MpelGF75A2UmfCiCeiwDeON7LUHkJkwmlRHLMuWPeKPzGdSwJWpiUmAnT7+8Y9P7I2/ZaulMbbFB4mTFixMDC02iNXiMtv01IlNykPL1i82xl+5L5ayPTYn8YGe4mqD3Xpa4CkBey5lxQT8oG3Bjh+R2KhYznfwhXjwPoC6Yq0JAx/mGv2aqgSqBFZKYKKgXuAWgIAwgxzQkvfiF784+SCLFSwvjgFwfsP51a9+dXr+85+fdtttt/ySjFX+j3/84+kjH/lIzncu7bnnnmnvvfdOfh8doLOnb7/99kt77bVXAn7e8pa3pIMOOijtscceycdetIWG8u973/uyc3MtWQHT5mGHHZZ8/AhtIIzzU1bdfffdNx166KH5Q0sCq9UCq2ZWnwXLlSJd/Ct95pCt1HjiIlmB/+AHP5jIhHMGTN/whjcke4jpmNzofvfdd08bN25MgJ5kTyZ90fmOO+6YH/Ny6IDu29/+9mwL7gE7AIkkINDty172svTOd74zT76AxyJ59T0F2GeffRK7YG90X/T9yle+MuvTy4bApnrq48Vqlf5IVuytrAos+vSCF7wg2xQb2XXXXfOLiupK+saW2MoHPvCBhDf9VpaspNe+9rVpp512Si95yUvyT3Gqw8b176UvfWmSPKkQaAE1fO68887Jb+KTJ7lrq5mMKZNMoLCZ334uCAqIgjbg2X6/n2tyFaDpUoDvp057GTQAUYEbUCB/skWPbtvLz8J1RGsi86QnPSm9//3vz783T//snX5N+HywjN75jQKayIlv8Qs5fJ10zDHHJDpl+3Rmq8Lznve8xPbZOHAk34IEf8i3GUNsApghK7akDnt1nzzdA/TpecOGDdl/mgRGRGI3wBLgPwvyrDxMVwL0zp/wM2wzYnmyFxHJN0I++tGPJh/043PZ8+te97p0yCGHJD7SFkC+lH2zS/H8wx/+cGLP73nPexKQX+LsK17xiiTJR5cPFLONG8n3GvDBh/ORYq6PZPGt7B8O0G6xb/cOPPDAZKyJ0ejxHRHLfZiuNGtrVQKzLYFRQX3P3kVE/v1xq5SCjhm8oAPMCDKCkWAuCUACvOQ6IvI+VfkCmTwOSbJShoZzYExyLg9ocF8gU0d97aBRkvLO3ePwlMfPNttsk9AALuQLvECXfNsK3LOqDBxxfJ46RKw/5xIR+aM5RYbkKNEBuaWlP3pwHwgk34hIwAoAarXGqgs504W6ZE1fS1XzP3TIW326dJ1vLP3nXB69KoPOUvaKf8rgRzl0nUvy8VPyI5b1hxc846ck5dCPiPyyJD4lNNBqNirPihdb0qYkD10Jv1a68Fzqou1aHXTVkae8a7bnKD9imddmu4C9J2HdwLoxx2bJvluZJr1O5/phbNJHRGc+OtXrlaeP5Ewmxhf6ruX3qrcW9yJaNk9XZEEf5Zyty3Nd9IrHiJbNsKFmUpeOI1o0S38BeiuXkm0Kro2ZojtPWCT52iQrtOhUHf71RS96UQLqPeWhdzJlW8rjqab1KQF2wv9EbDl22Z977ISdshX27Nw9ie8s9u2+8mxLGdfuOVdPci3fuXIS32GiixfjRBljH61mHjquJb7PfXnqo2fsrE8t1l5XCawuga1WLzJaCQPX7L4Ae4EGRQMzouVgIiKv0MqT3B9XimjRRi9i+dx1M2k3IppZmSfOJyLyBCMt/QmwngZYCQYAl7Lqvy4SiIjNcouIDIqtOJMdR51u+YuIzeVS218nvSgSEV3rpAn+4Ufq1oQAKDiy+/YyEZF/ujB1+GNn7XQjIvexPT+1/RlTgD3Q3nYrX9ruAyQCiDljwP/0RVAW2Aes2ije/TSiBW6NJ7IzkQbytdu91uLciYjsa0qPgHTbe2wDozNHW8bk0bVyEct15MvzVNSTAmOrlAP8gSv3a1q/EoiI7EtSl7+IZXvqUmRFdkT/5fkvKSK24KHkpy5/Ea12IlrHLsVqdpVAlcAtEtjqluNED4COR+326hnEE21sgsQjIumDfcFWDCJigq0tHumI1lYAKzARiys79g4E6+e0tAjEAfZWcp2Xdj0hkwcclrxBjvoAYDsOUm/YsvwDEArge8xu24nVOnkRi2szw8pLPbohJz7WeUQk8vOUx/2aqgTmSgKV2SqBKoGhJTAVUI87K5FW3iLmOzDrA4ChTzVVCXSTAGAPDJv8dSsziXzA3oq91VtPlYbdQx/R2kdu1dzYnQSv/dAkRxMkgNWjeo/h5UXMtx/pp+/9loloPekoeiIjgL5c90unlqsSqBKoEqgSmG8JTA3Uz4CYKgtVAlOVAPAJiE5q20q3zgD2VueBe1s5upXrlh/RWukFpmcFGOLD6rOJkmSbDvAaUcF9U49kRDZ14aEplXpeJVAlUCWwPiRQQf360HPt5RpJALAHsjzhmRYLtt/YdjPslhuTECu9swgMIyK/m2FLjgmTbSf2kI+X12lparzt2D9vIlZlMV65VmpVAlUCVQLzIoGt5oXRymeVwLxKALAHtux3nvU+mHwAy1bGZ53Xsv/epMlv4OPbdif5EetrBd8KvYmYvs+63ip/VQILI4HakSqBGZNABfUzppDKzmJKALC3bQTonMUeRrS23PjJuXkEhni2Um3vvfcArOSTtfxZlPc4eSqAfh4mYuPsd6VVJVAlUCVQJbBSAhXUr5THrFxVPhZQAoC91WTbW2apexEtQG/FexFAMDCvLyZR5G17DtnPkszHxUsB9HXLzbgkWulUCVQJVAnMrwQqqJ9f3VXO51ACwCXAaZvLrLBvkmHrxqKt9AK6XqbVNz+PCeDPktxH1b8nE7e5zW2Sfo5Kq9avEqgSqBKoEph/CVRQP/86rD2YMwkA9rOyxx7IBXYXDdA3TSIi8ke/gGDg3v5758BwxPztvY9oPVkxWVmEJyup/lUJVAlMXgK1hXUhgQrq14WaV++knz70aynl65V+PeVPf/pT6pb+53/+J/nKpTp+bWX1FmqJpgQAe9tDbBVp5k/rPKIFDOd1D/0ocvLCsokMgG9yZTWfPiLmA+DjF6Bf5InYKPqtdasEqgSqBNarBCqoX4eaB8KB9//6r/9KN998c/Kb5tIf//jHVJLrXkm5W+7nOv/6r/+a/v3f/z2haUJgkrAORTtQlwFJ4NL2l4EqjqGwVepb3/rWaT2v9JKBFXs6kABluphlmdQ99GMw/kqiSqBKoEpgQSVQQf2CKra9W1bUfWHUB4n+6Z/+Kf3+97/PYP4//uM/ko8VFTBu9R3g90VSdbol95W1kq/uf/7nf2ZQD+j7iunvfve75CgfvXZ+6nVLAoD9Wuyxpz+6b3Gxvv8H4j0x8Ys5np5YwTfhmbWVcBMQTxZMRuZTY5XrKoEqgSqBKoFJSqCC+klKdw1pWykHyAF2AP4f/uEf8oo6IAeMu6eMVftxsYkWmhLQCOxbwf/Hf/zH9Nvf/ja3L0/byo6r3XmnA9gDa7aFTKsv5M82PHGhr2m1O8vtRER+ckEPVu3vcIc7JCDf6j2AH7E221eMOPkAABAASURBVHMiWlul8GQCkupflUCVQJXAIkug9m1oCVRQP7ToZq8icGavO7BmRd5quZVz22HWmlsg35MCq/eeFODPtVV8AHOt+Vvr9gF7ANKK8TR5oQO6MNGaZrvz0pbtLt478Nv3Vu8B/GmvlNc99PNiLZXPKoEqgSqBtZVABfVrK/+xtA4UWwG3Kg7EOwL2swrUAHzbcvBqpRi/+DcpGYtAuhOZ6TuAvb3dgOM0GQXsb7755rTe5d9N5hGRrN4D9SZedGTV3C8HdaszrnyTCm1NeyIxLv4rnSqBKoEqgSqB6Ulgq+k1VVuahASszFv9BpCBs2msfJtE2MJT9tMD5J4GDDqJKHRMQPDvyYLtQe3g0rXV5Jtuuilv4XFtMvCLX/xiEiJdU5qA/bT32NMD2yHjZufZ1a9//ev88rMyzXvjPmcDv/zlLxMeTPpGoc+W8K1Po9Bp1sUTe2fnEZF80MoKvi/Y2otvW0wpo5zzZv1Bz41j44qdj0pr0Lbby2ufLfz93/99wlf7/dWu2Y5Jo/GLzmrlh73PJ/EhP/3pTxO/yJd8+9vfTsPZQXcu+B92WtphE7/61a/yO0Tda628QyaeWJKp+ivv9r5S148SsHF9xE97DXpiP/ruSB6dyrXXa15rh0+/8cYb0x/+8IfEDpr3y7ky+DDunGtP++7TR+kjevJKco0v456duy73HMml1KdbeYMmNNke+uhpD3+D0hlneTzhAV/6RS+uLXS512zLPbJVlmzb78kvsm7e01c24h6afBKb7aZDdUtbP/zhD/N7dvJqmj8JVFA/fzrLK6qckwApMBiwBuS0usK5cPLXXHNNOv/889N1112Xvva1r6XLL788felLX0p4GpQf5Tkcjkd9IE87HBLHhe5nP/vZ9POf/zwDC8cvf/nLWRbT6veo7egPZ7uavgB7e+ynuRWHnMlc8KMLfSXjr371q/mF6pInvz0JTIJHe36/12Ty3e9+N5199tkJgGDb/dZVDu9o4ME5GuyRjbo/akITOMLjmWeemS677LL8q1Ho0hFdWcW//vrr00UXXZS+853v5KConjKDJGOAfRjbX/nKV9JVV12VJzqD0Bh3WfoAYL/1rW9t7pc8vPbT1s1LT4GM1UsvvTT97Gc/S8PIZbV22KdJw2c+85mkHUDIuzyf/vSnM9geZ5sAGJ93zjnnJO3on3EC2ONjNV7dx8+PfvSjZNLB55Elmbq3WjJO2ffFF1+cgF5+pVkHD55+fvGLX0ynn356tsnPfe5z2Vdv2rQp/6CB9pt1Op3jx8LJeeedl773ve8lY6y9HCCPJnnQsXggLrBfZQFEdqOP+JJXEvo33HBDOvfcc9OPf/zjLXw52X7/+9/PMtLnUq+fI17RNH6MIzxcffXV2TaMY/Luh06zDDkbm/3Irlmv/ZyP1S/2Sk9s56yzzkonnXRSuuSSS7K/1QY7++Y3v5nIk3z1Qb/cI1/6PfHEExM68rTDFxtjdKI8nfDjbFQ+myNXZdsTmbCnK6+8Mi+eFZrt5Wb9Gt9sS3+mwuuMNVJB/YwppBc7jJVT4SABFoO+V/lJ3uMYOKOTTz45O3wvwnJAgihnwwnjdxgegDPBguOyemHFAWDSnkCNbkTkDwq1B4o0w39054VlSR97sQrY2+YxjS0eTT6AV/YlgFl9jmi9HErmzXLlXD4wI6lT8gc5cr7qX3HFFRmkuB6kvkAmgAtI6uFbcj6OpI/s7Cc/+UkSRA877LBs80WH+m010r3jjz8+/Xrp6YZfqrF1xradiJYMV+OFrRtHArDx841vfCMZU85XqzvJ+xGRIlpJO3yPPhqXrldL/BQQY/yy/dXKD3OfjvgLbQAyxho6xlFEOB1bAhh+8IMf5AmX8aLt8iK1834bYqMRkSc5eGdfbGm1+to3yQLcAMRO40UeWbBJiy1A+YUXXpgOOuigBGgX+fRqCw30P//5z+fJmHHWLI8PegVG2QOAyvdfe+21+dfVyEIfpWa9co4+e/jCF76QrNYbY+Weo/qO6kf0r0N0yedTn/pUwgvZskGg1sIQHpVBu99EXngFoNvl0C8N5diLSb/JHPmRr4nH17/+9QRM77vvvsmkQ3ylMxNUtoZ3EzMAnZz4aAtdfBHZoS2JjyYvxoAfyDD5M1HgW7TtHl9bfJc6JZG3NO9b/eiKnOhdf0r/1suxgvo50bRBaCADu4K8gb1WrBv0th7c8573TLaKPOQhD0k77bRT2nXXXRMQypFYbccvZ88ZWj11rR/6wBEBYWXlgdNVzmAEFgQ3g9PKgjx99cKgY0QkPzv4wAc+0GUGguirrzyAxWG6iYZ8TpEz4+g4OPTdn2bSx9/85jd5ZaXw16P9BJAA9uPcY69duiEvAUDwIyMJb/LJi5zI+AEPeEDSPiBHD3SjDr2ipfwFF1yQV5jcdw1gC36u6VuAom8AAG0612/3OF609JXtcMKArRVCemIz6qonmLrP/rWDDwAYSLGCblJA9/ag3+9+90uOxgkaeBEc9QPfAhx70Lb28KzP+GpPQIWV+Hvc4x7pPve5T16tBgzIQll6teKIX3vulduwYUMeG8CewI1/fEREXpHEtz6wS+PAPStrgjheyeOOd7xjBtNkRB7ytUFX6EnO8VCS/tIv2dAvoEWvACPZuEZHXzsBG3KhO7IiH7KOiHT7298+6Zf7wIVVYhNtfClnTOuT/miPjAtPfMRd7nKXxJbJTBlyJzc86D8ahRZ7cQ8f+kF+xquy2pGnL+yIPaBJlmThheaIFgC0LeoJT3hCMsEiQ2Xwpn3t6Qse0SUz+XggN30ha3y6p1xJJmv3ute9UvFHJm73vve9k19LUgff2mK35KhtdsfGSrvavNOd7pTUY9eAMxBKT/qPjrL6Smf6rxzeyMuY9JQootXXwpsje7Ut7G53u1si94c//OHpxS9+cdphhx0SG8MTvSprDKKpHXRda4uc2Ze+agtN5ZuJ/PCor2zjaU97Wtprr70Sn2Es4/fOd75z7iM6ypMJP+CI1iMe8YhsF87xRHZ0QOfkahyJM3hyD4/a5OfJlL2r20xkxxdo4+lPf3p6znOek/AmPj3lKU9JYpfy7IU90AtabM4126J3fsW5fO3xc1bNlcGrOuoq45qeyQKfxhi9sU9tlYSm/nu6Rz9k+9CHPjS9973vTW9605sS3tkhnfAF+o1nZdi7SQpat7vd7ZI8Nthsg3zwQ953vetdk/GAJzH7/ve/f95CZbKAPjrtyZjZfvvtE99JPuSg73RinDXbUte1cmTCrrRFFu5J5T5bog90yIctsHPXEtp0yWbIlT3qB3uU7z65oGFsqqtN/KGnPPnjxYTGEyPHTjrA1yKnCurnQLsMlZMz4A3yWWAZWBFUDFpOz0A2IPEWEflLtAahlXsrEFZjDF6D0AC0MmGlSZ4ByhkARvKsTuqvQW2CYHAKdgKNNgxqqxQct3Y5OoNYYPSo2MoUoEZuAgBHrIwVC6sinAA6eJ104pA4MLxLnAwAV845amW68cEZA0WCZLcyg+STHXkCZYCpwCEQcJaCTZG/YGVVp+hN/mmnnZZBATla9RMYADuy9YibrqyEnXDCCXkrlnPtKaNN+gII2QVnzdGriw/Bji7JQtChTzwBn+xHIju2YiULPdtgHNHAn5VJNoQXvLMB7Vvx1oa22Qb9S4K0dtR1VAdfbLpdpkANkAFgbLvttkk7aCirDTYNQAEMyhkf+NUv9kw25ECfErsHsLQpn63rN1sFCAQobeLD2LCthM7ITHv6ZAyxLWUkNs3eix71FW1t29rE9vGJjjb0Vb2S9EU+eeALL/gyFrUlX33jzHYAfXOkB7wrS0/0zr4LXf0gE+2pz37IHm/0qR1bMPQRj8a6fuija+2yUfamHbrUDvsgY3n4JU861w+2xE5OPfXUvKULLdtl2ID2bZMqdog2m9EXdq1NPGgPb1ZW0Wz2h+/TL/l0qc/Aj3poS3gkd3bPNo01k08yJh+2y48V/p1rS7tosRv80h8dkIm+K6cdflf7KRXOlo/sD49sTcxgJyZa9CAf7/L5Y20a58YRW+Of8KstPLA343KZeuustAFw6at+mfxut912+adg5eMVHXpxnzzpiozpHqjFi0kOfbpHLgCbtGnTprylk63RDVsja9tV6AtvLW5a/+OTTbAtkyZjFUAFfi1SPPrRj06SsaI9smfP2sUfHYlZdGaSRf7smi05N7boW1k84UHftUdP7Jh94RF9/LQ4S3kyrzzd3/3ud0+A99/+7d8mE0+TH/7D5Jl+2C/7VEYfLBaQEb+Dnkm/ySrZuS5JrGATxkKRo4mTd4DQshCmz+xLuVLPEb7wBMHY5Gf0UZ+Kzthfsz/qkKNYQU9kpi6+2Zb7jsYXX0Q25MLOyJAvYGfkp11gns7ZnDbRI3v5pSwdGMv6wF9oj/7EfWOY7WrLOZ2oi4/1lCqon2FtGxCMVIA3eGaRVcCZAwEUjjrqqCRIPOhBD8pO3blBaIDhH4A1sAUo4Mjg5EQdOTurClaYOFM0PdZVFj35ghInji6QYeCTD8fAkXIuHJN89ZUzwAXADRs2JINcMLDy1u6cJiVbfda+IMbxcV6CKMcmCeBk06t9DtzKDmffq1w/9wRSDpGMBB2BmQPHiyAoSAhwnDkZ49t9fAt2gip+6RUdqz9WnOjTyhAdADT6zDa0wTbo77GPfWx+xEwH+s0Zo/nkJz85r4DjX/sCE8cuiAh0dI5fehNcATW2EhEJSFLeyhU7sYIqqJA10E3nwAD+8PqJT3wi4V1QAWSAeUDGGMM3e+tlG2QkSOqboAmoCjzAkj7SUURrNR59bQE52y5NBAQp9i/IkZ2Vtvve975JHcEdf2T5sIc9LAn68slEoAeKyBKQi4j88rIgzy6UkfC+33775RdDtUfu2hH8BWj8CprKWVXGM12WxFaBMPxZ3TWRBMwERuMJoAE+8Gg19nGPe1xenSY/ekcPeCJ7wAVPzUR/knbYFX9h0mb8CvbAmD7RMX8AIFo5BIz5CfLTjlVh/TLm0WFHeCU3R20CsVYO6ZcdoQkA8DXacSx8snf0PIVBX1vq0C1eyQfNTgkw0n88qMuu8Il/9cjv4IMPzlsqgEu2r7/6bYxJ7JctsK0nPelJeTUVb57UoK+ffCg7xqcy7MO9Tjw18/BvLNpbr1/G4CMf+cj8ojfe+FryYLvANxlpwzgnD7ZOr2JRk65zQNF9q+Ds3Gqz8Qw8sjk60FfJmOT3yAT/+HIeEXn7Eb8NsBrrnl7QMTtkj/ihD3I95ZRT8tYePonuybwpBzpj4/qmT3jBqxQRyTjjC4wlPAP65Ixv44MejVHtkQs9AO/8ELtnY87lG4vGL1/FRouOyBFP/Iijtp3zGcaQenjj19mrMeM+ebnWDnnz1SY97ksmaHhCr1tiF495zGPyezj8JHk+85nPzE8NtcdHG8/8r7HWpEMHZC1mFvmo40m8o7ZLf0o9kw92Sd5cNBHRAAAQAElEQVRkYRzrv1itDH1oi/+mL/nqiC3GID3rJ7tTVzKe6Ig9qMMWyQ19fpB+TATk4xV9OleXjExc2BBb5wcjtnyahbdFTT1B/aJ2etb7ZYAb+IAGg28fSLPEP+BhYAJUHJ5rqwCcCeDFeT3+8Y9PgBvnCQBx8AanaysQAqHAw5FybOgB64AEJ6wcEOLxvb5zfOoBpAKlgWvAP/e5z01PfepT8+N2DgqwEBg4FmXxoh6anCVak06cjKCtD9q1klt4cC3o4G01PjhV/df31cr2uq99wEzbz372s9Pznve8/CIhR09v6pZA54h//KkDXL7hDW9Igjjdsk3l8Sbwb1iaONGd/u28887pWc96Vt4TrgzwaUsMXXHCgidHjA8JoFEmIvLPR0ZEXtnSNvoRkdQD1NiC4ETfr33ta/O2EHyyvUKLfgEnwUNA1BfOHvgH9oEOfWC3u+22W36UrR02I6DiuVMy6RA49RNQFPzYqWt6Vsf4FQDJU7Az0RCo8QZYkZvxAeC5L4ABCngmRzrGC1oSGxeo6cjYEeAEZPLEjzKu8S4oaxd4Nibom6wAKfK2uvX85z8/b3lQHvgUOK+99tqkjr4DmiYkQDVZk52xQ8b4wqNE3nilIz7KUR/0H0/tiewF2pe+9KUJ0ADs9N/Y0Bf28oIXvCC/CA+skS0/6J5y5Eyugj5a+MOr8a2PbIgctQtwkjlelGO/9MY/aEd94EJiDwCXsnSkv3hCy/jgvyI6AwPyV47u9Z288AIQP/GJT0zbb799/qAZGhs3bszbBgEbOsUDGZIbeZJvROTFB6CVrcujQ9f0RQ/awJ9+RXTmiwwkegGeyY+vYevaZS/sF13y5G/1mwzYF/7IQl/4Hfyh10zKGkOveMUr8rYb8veO1XHHHZf3yONVKjaiDXbF3vgBEzb0yB44swhjjJKdMasun0M+5ZxM+R+xBk/iBRol4Ul/HfVdKvfKkb2IC8C6uIMvY0VbZIr2M57xjGTM8UlkRw/ak9iMSTI5GVP0YUJOZmyOffFNaOJdu/gx5vFL5/oX0dKde/RgNfrlL395ntDTlbboyZjUDzyoh163hL4xQ778Dl8A/GqbrRoXaJnYi5HOCy02TPYRkW1W+xY6AHJyQBON1Pij20c96lF5cg+vkJX22Tja+squyIWvJRdjkG8mO/wpY3zSP3xAlvhgV2grQ970hUe+ttA0GX7hC1+YTDzoFWv4lvDGX8lbT2mr9dTZeeirAWwACl4GxqzzbNAIEhwYZyYACxIcFCck0HEIHB5nC9AAfQa4vY4PfvCD8x7liMjgTNC3D9JA52zR0EZzgLp2n8PjmFwLEAa65JocBUNtcxacQkQkAUEgandOk5IzXgQLK5tWDwAAzpG8OC786WM/7aMlwJJpP+U7leHsBAY0yIos2FtE5P23HgWTP6CpDN7IGS0yF7jpDw35HHdE5L3f7pdgxCbwCihy9Mq5JwCSvWAqsKKPJ3X1TzvuO6ojOZfYDl0KXIKlNgQDdCMi84BGsRVgweRREI5o/Qwl+eMbPeUEceBFsMALG222qVx7AqjYLZBthU6AAjrIS10Jj+xX267R1w4AqRyAhw8rVFasjPWIVh/a2yNr7ZGnJw9WPiMi4aOUxbdALbCSsS0GL3vZyzKoVI+cBHSBlFyUx79VaiuWJll0JYiyTSukwJd+0A+e6SWixWNE5KblSYCJDH1tHp2XRMfkwIaMATQFYke8Ga9sEijAnzLG66677ppBA/2zPQHcpNGTAkCXr8Qj+mSFB3Zg4hYR+d0U+exE/aIrPCtDjuTGJukMsCQvfCnPRkofOh3R1TabZFOu+SNylyIiGef6jg802Jqy6riOiGy/5AHgkSlQZuK944475j7gUT19VVcf9VX9bkk5Y9mkwjm96iN7MzbYAnsx7slUmyZT6JZ2HCNiiybYBp7c5/vf+MY3JoDYyjUa+NMmnvWd3ow/E1urufSmHXpwbiLHhslE/9WlA9flnDzphDzR5eebjMljR/Shf8Yf+spoy0SSzRizZM0n77DDDvl9MP6YPYhVaGhLu8pFtPqPhvp8mvG8/dKkbZdddkkmG8qrz4bVdx7RqlfaVz8iMmhOS394ow+2t3SZtwaxN/LSR2OBf6YnMmG7ynVL4i4fCezuvvvuSTz2FIJc1aETR3LQL+clucduIyI5isXGoIkz/8Bf4L+Ud8Q//izMkRvelZHvPp7pgizcF2/IyVhmN+yNfbNzbYoJeDNOtO1IV8rSlQUJtsaO+AxyEl8dtSdFLMvc9XpLFdTPkMYFeQOHI2p3VjPE5mZWysA14Aw+gyyitTWg3FPYIG86W07HoC6J4+bYrNSjxQFxBurI4/DJg3wc0ZTQ5ezIy1FexPKARpfjFbStOFmlAlg5F2WnkSIivzzMYUnkJDmXONKIZZ5X44lMOHvBZrWyve6TnSRgCkDsjl7IXaB2TYclAQGAlmt0I1byTDcCUNED2ngUVOiP41cXDY7fqqm2BAPggF4ldPRRfXplF44CEHkJClYYrdoAocABe8ET2mgJCuprx9MDQBYN7eMPKGCr6ignOY+IvBXAeaekPv7YqAAjmFhtB5oE8nJfXTLFq3YBHPKLiLwKpy8CnZUooICNW41SHy941A9tuSYnPAMf+m2CCoiRr7Yk9LQpDzgCOuiRjOgVENluu+3yS4vejXDPuAD8X//616c999wzb03Qri0VXqzEs2BOrtrASznqg77hkd6c4xtd9UpZ5duT++qTDzsgT+UlZfWD3smNTPCEf33zRIHf0C7bkWdiDwjjA133Cq3msZxHtGwXbW0DSuSpXToBMuThE8hgv/hqJrQkeY6S85Lar0u+o3uS85IiIuFfPl3rj8URegVq8EoPbJmcXeun/hYa7Udl0DNuTNasPAN4dEqGgBE5sydjxhjVX/7Riql76qOjLefNNtTx5MgYpAcLF0CX+uqUss7ZIV533nnnRMb8C5tHQ12TXPVMJE0KtNUtoRvRGqtouy6J7zAu2ZUnO0CuNtynT6vrtnUAgewKYCV3MmZjZKxd5Tsl98UVZfghMjPWPEUsemnnCR1+ll75JLJUFg31PU0kDyvUaOPReNqw9OQTb8YUG3Ruwh3Rsl/129tSjt7oHLA3KZan78qii4774lBEixYeJTQlMrMAAUCbVOPB9il1lSsJPdvDxDFjiC61JaFTyjmXXNMRWbAd9iaf/MmEbDzN0Ta/SBZ0ZTwoExH5mwmulVUXzYiWPZRztka/+NBv+eslTQXUMwQKY2wctcHDETNoQp8HYRfj0Rd9ECgZ/jh4R9Og8Sjcqh2DZZTjoD0JGnizCgJgCA74ts8NWDDwrAoB0fokCRocnxUs9+jfI1r74vDH+QAY9kz6iS4D2mqeR/QGNboCB5lr12B3zobIyyqHa6uYHI8yZMhpKGtl0/5Ce/Q9HqY/fdD2NJPVCsHG6gTnN2zbnCJgL+APSkPwICuOXlBFC0C16u0R+DHHHJOAJQAdWKZPWzrkkbdVNtfu0b9yeEHLy0pkLo/eBDJgwqqnFWF6ZC/0bTuIfdvG/4c//OH8G/V4s3ffeACSOXd6oy82o66VQIERraOPPjr/Mo+VH4CMnvEHkLABAQdAFUBsO7EqLpABt3wP2wQ21GMn2mdD7eNaUCAvYBkI0H9B0eqm1SSBlm9jh4I7GaAPsJtUekGTbZOfX7igN22SH8AuGOqDRGaADTkYN/pRAp+VM3IhT23SXdG/eu4B43R16KGH5vcX9MleX/ohb0/IjBFywiN7tEJpYsI+AR6ruXgFuo1L5dgMueofGbomC+0DY/rDB5Cjse7I57uvj2jxoQCMR/r6ZG+3cagsevgWiK2UAzTksP/+++dvYOgvUIqXI444Ir9LYQzxEWijaY8+nvAO0NETGTnSK/61wzb5GLKhU+AZkDzjjDOSPdv2n5O/vCOPPDLZd87+2IH+6Bee8aod5dgH/p27p3/0q13gg1y1izd6tbWG7eGDjk0yyY0MyVyfAPCPfexj+deyyMS4QXufffbJvz2vHl2y88Ib/owfdNmjSQBgi1f2aGJo77H3LfhjQJwMyJmPZc/GLDp8weGHH57b1zfjBW33JG3K48fJDE12wM5MGMhXIne84NVWDjRMmvSZnMmEbajDr5goK6ev0k033ZTIi09HR3/k0yV75BfwI0W0nor4NTYyI0N2QbdsBH02bwsHv8fneQ8F38YwHaCtHUdtaB+YB1zxpU326N6BBx6Y7CmnS3XphN7ZqX7iSYqI/O6MsWsiyZ4kk1Tv+fBn+Nhrr70SX8kvAuTGmmsTCDLjA9Bjb9phW/SnffniLh2SuXFM/lbB+Rb8sAfjlc8xgVCnJDTJGU20yURsJxfxWPsRKycB/A6/Qbd8LN9PLmRHp/ohhrD5kq89T23UYzfGM92yO08k8XDIIYckk09+wHYdPlPsZo9o4xE99eiKf6NbR3bNprz3oKz21lPaatKdJXxO0+Cyt4uDdQSwGDSDGQcPk6RhMHDknJhzDprhMZxR20WTkyATRirokQvn4N6o9CdRP6LlODkYqy4GKFDImfj5LStdnAun+ZKXvCQ/kgWCOAB76zkZAQq44mA5SHvtPMIEeAUa+fbXKo+ONuxzNOg5JdsLPPYE2PBhRUE+58WhmzyUYAdAWgURRDg7oMu9ScimF00OmjMF9ASIXmVXu6e+vgI2q5Vt3udIOU8rala0IiJvbSA/Ad/KOvkLPkAXHZCd8xe96EX5fQVyto8RqOXoPf1ADzjkgN/85jcnzpgj1l+P9ekP8KZjq3Lu04tHxHTNHpzjjR3RrXICPeAGrOJNoGZzeGU/QL4yyrMPfKuHlnvqOMcbG7VHGujQPtt0TY7at2qtnKDblFlEawsHO8U/AAxAa+ftb397YuvkoH2r3iYS9MJWrXI56pPyknNl1AFUBW95eCUreWROJ/bYspeIyD+hqG3l2D2w3OTTZEefyIK+gDg8A/LGiCOd2SZBx+wxYjlIu8YrueoTveKT3uiK/vFsbBnj+FDOmDemXStH3nRS+AOs6VgZPOGdvI1h9ogn/QYc+AhlXWuj8MN++ALvUJCPvuiDLThsFE/8BFvZY4898lYy+geK1dV/fKnDRtgr+QIegI+yyrERMQkI4X/xzlcAJ8qSN/vA/+te97rcDp9FTxs3bkzsEz9kR29s7a1vfWuiN7LDPzsB3MmNTNXXH7rTB7qXrxxdoCEPv+zV/mRyVIZ8gLOIZT1GRJ7sktMrX/nK/D4Tmav36le/OvG12sEfORvL6GmHHCTjTdvsEl90ZMU0YrkdusMXmRvn7I986Zn+8UUO+DSu0cUDv2PrpbFGDp4S8RvK0p2xjV9tK8ee9RNPZaywHWOL3PhCeimJfpT3ZBYt/TTG8UgP6LIBfacrZfHmHl7Jh13TJdnou2v9YoPKOScX/WIL5KCcNtEyliKWZYW3iEjs1HgyUTA+2Dw7p1c6iULPjgAAEABJREFUQIseyEj72jOGJfT5rYiWLyDr97znPXk/OX+jDfLUZ+OWj2Jb+kiebNikk25Maow1dUqiT+3zafrAnvXbeNxpp50SvtrriKn6jE/80CWdGUcRkb8lgw+2K58NiQv0VuqRv76iX+SqffZH1nwZG9B/ZdU1nunPGKFb9oCeMcYP4ZduxKqIlXpIC/43UVDPKZrh+wUCMyhGY2AxeKDVjLs5y55VWXPyVoDMQiNaIIjRMs5ReDZBMDsmI2/ekwunx0gN+FFoT7KuQMdRGsgGm+AkuHLMQI8+GOycNociuOgTh0D/Aj+HrCw6AL+BKtAaqAa4wcihcAYGaEkGO8fFOXKG2kBPQOCsOFd00aM3IF4A4zCU5fA5QLxMUkadaEe0wKEgFDG6o0GHXAXPTu11yuPcyY7z5PCVUZ+8BDD6cs6+BRly5xw5eE5ZHYGFzAVYTpROBFwOVoAHnujQ+CBnTll76nDG9Me+0RFAASLB1JENCXTsSdCkfwHPfc7aUwHtCh5sT3AGJvDHpjh3QQ0/QJogwh7wpcxjH/vYhGc2qq/6xC7UQw+v5EEuJUW09piyIfJwZJ9sFy/O8YwWvsgXn2Stv+xaQDIOjHFBjr3Kk9isMYCe/uNLWW15qZQcrTpZxbWCS7bGYOGvHNm2MUNeJj54ExTxQAbqCuZ4NGaBi4iWHUZE3iZG19pVRz/xKuHL2KQz9qEN/TSeyZnO6VI5shfg8Y03utYWvRiz+sZmABf6UQdt43TrrbfO+3mBC0Ear3RTZKwNQJWs1Sdn99kKGyEv7atPtiZZbIkslJFPfvhnr+RooYns9RdowBM9ObI59kE/+qE/7IOc0FOezbAd/lBbxpH29IfcyQZt1+qwaXTpQFmyojd2gif9IiPjQSIr/pQu2YbJJ1vXVzYtrka09Ig/fNK18aY+20cTDW3hAa/KuMYDeyEveewW/+TPFvCPL3aAtjYkMmK7eFFe37UFgJIX+WmHbPCJPj9AFuSHHl24rxwQR6+u8UXu9MQ2yEO++9pke67pEx/4aSY6Qk9dddgeOyFnfbCaS3dkqe/4c09ZesAXYKw+HbJ7/WNb7uGBLZoksWm86hMbRIu9aqfJk3Nt8j1Wr2Ef12zUDxCURG/Gi37pn2vjURv8aUQk9LX3qle9KuGLrNE35vRDeXJW3yTGhNSioZhILmJlxLLNqIsGue6xxx5JfT6KXp2ThbHe3ifj1X26IAfyIRc8KGt8Fd/Ilvhrfkrc2rg0CSZ7dciTfRoj7Mm4J3d6VBZfxj3bJTPl6QmP+kJG7Fh80gZ7ZWt4jljZT31d5DRRUM9ogVWP9SiCExMAOHGD1UChdI8GrYx4TOwxDsPzCBzw9wjI43ePOT2CAoIZqMd+yno85LGm8vKtqphAKO+RlPIeJanriBezVXU9QVDPrNl9j2/QdY6XMumwDcBP52kLSGTIgATereCjg09teqRmRqxtfXfPyr7HjGgXY/I4zyNaj4+05zGRgW5WbDBGtH4FAZ9W8j3xUNcRDwIR2urjswxY9/RTW9rAR2mfPPGGzlomg93A5qAKHxGRZ/WcUsTyICRjZckciI1Yvpe6/JlMeoqCFodAtmyEbjgNSSDsUn2usskHsOH8RmE8IvKvztBJRG8ZG2fGrHGqzYjIL35FdK4XEfnRM33QfWr8aQ/vdOsY0aIREXm1ke4ldSNa99CQ51hIRURXHpRjP00aaUp/EZHlqv2IFv8RkegNsNCPiFY+lvBKJs5L8ijfeOcHgHJ+s9zrdEQD3XY6ncq256lLD1Kv+u4pq75zspW0K0Us90kZKSLyxAHtiC3vK9NMbAKtZp5zstSmcykisn2hq7wUsTp9dgx8AgVW68mYTwU2AVMgx73iLyJWp4mfYVJEZPstMo2IbDfNfqalPzLR/3Jcyhr5H1pSxHL/tKsd/JCr6/aG3GPHkjJkGbFMo1k+IrJ/pxt2r26awl9Ea1VbXyK25E2/8NSZn5UMRrTGbUSLjjrqorGyZPcrccekANCFj2w/6166dYdutBPRareV2/t/PKmnFDuHU2wPMhEwYaIr97qliFZfyU1Cr1dZbZEHW3DsVrY9n89Qt5mvLfkRy/2NaPkO9Jtlu52jMQgf3ejMY/5Wk2RaECp7Cs2sinEwbCDfCgRnAHABxcCt/XmSvV/2S9sPZ6+W/ZX2naEHnNn+ApwD0kA3EAdoyANibWGRbzuLPW/2btk/Z5sLYG+fpL1YVt/tSVPPirk21bUypqw8zh5N2zZMPuxJLPvVAGrnytj7pi3AGhhv8m6fIF4NYhMJEwhHPOurAQd0uyY3/QPO8Y+uPBMWfJi0aM++WPIwecADAG+CYi+avgED8vGoHL4Yu5UYgas9WR0QyExYrBJwJMpLEcsDbJI2M07aJpBWB8zerUAJzmbzVqEXacBzdPTGEY5Tfr1oCRRslR2bRPUqW+91lkBEf2OK7ZroW5kCCPjMzhTHlxvRH2/DtBgxOdqD8BPR+sUt2w2s4nqC4ymSVT+TJ+fkbtUxYjZ4HqR/0y4b0Z+MIvorNy7+I6bbXi++IyIB9PCPcd2r7DjvAc5WsD3xYOcRsyOTcfaz0kppoqDe6gcwamZuZliAVETkVQgrTsAsEA/gcqaApP32wCuQanXcKrTHh1a7gW7g2gTA9hWTBXWsQFvRt3cf4NAWcAusA7gmDvI8wmLcAK6JABpmsRy4VXArNXi1+gmEA/wCqcc4njTgQ5mSvDhjtdyjJGDYixwAvTy8a1s+3mzhIRMrnMA9MAZIA50Gmse4gLZy+PPIiwMwCfHkgBy8LKKe2bZJAEClH+gzaHwDWp5QaAN/aHvca9Va3+jDBKs9AfIegXm0hy/gV12TAHRNxtTRfkRobqYTXukNuPcoz3YSgIgdzDTjQzDHadOvPg9RfegqgD17No6GJlIr9pSAsegRO19njPYsXG8OJAHjho/zeN+kiY/ngy1kDESoFq4S6FMCEa3tM+wOdumz2tDFIiJ/vRbGEf+GJlQrzoUEtpokl8B1SYK+8/b2AHRAF9hkdABuRCSA3l4wIMVePHvuDALgPSKSI6BrJVs9kwJg2uo0UAuYWm0BZs2IAXmrthJAbPXFirxVcsAEgJVn+4sVT9tXgHz3DDxAVkDVFvDk2qq9+sAusG/PI8AMfAPBwKO9fLYbaR8tQNy2GHKIiPxIUnuCC/oAugkDWeEJqNeeyYG6VuKBbH2zH9D+OPXISZ+VJUuDF19o66e67iubBvjTT7TR0if0te9cnvsDkJt6UTqIiGTiZgLJDqfOxJQaZEP0M6iOR2WPXRt3iyzbUWU0ZP1cLaL1KBzQjJj9yXRmeo7+4yP4MePH0fUcsV9ZnUMJRET+LkFETIX7iMjbu1L9W3gJTBTUAxgAtYBvv7hVZRIFWAFb20kAcAno4lBLHdcAKQcLpFpBBlRdownoO9ruYjuMJwKAq8DnRS4vuHjRB4BHBzC1RcGqObAM7JsU2GaDLqAKxNvaAqwri34TqES0givnHxEJAMc7UKNddTx9sKXHNV7xLZkYmHjoNxmUFBF5cLuOiKQuueg/ftA0mbEaaqLh6B5ZAfYmGfhHXz+1S74RkazwveY1r8m/f2z7j6cbeNDWMCmi1X/tAPSAPd7IjnwjYhiyU6lDJmRrAtmug6kwMKVG2AWbYRNTajL/trsxwDan1WZtp0qgSqBKoEqgSKAeqwRaEpgoqPeWtzejgVNfLfRiKCBsa4jtMLa3APFAohVve+W9PBLR2nemnomAVXlg1DVAaz+5lXyPS4FWYBdNe6a9FAms245i+4vtM7ahSOjottV0q+oAqQmBlU0A3r5zq+wevwL/2gIE1dM2QKgtAEae1XcAyup54V0dL1cBV3jHN7Cj38AkPvBQkkmDOuhJ2rbqb7JAJmV1Wd88ScC79w9sz7EdiUzJTztkoh4etWmSQw5+McGTDrLwFKC0PeoxIvKTBjzhmzxNYEwsImYT4JM/+ZA5oJ8W8I/tsUt2Ma3ukaVxwf7Y/bTancV29J+dGduT5o/c+SbJ+SjtTZPvUfisdedHAuzSWBjVNuenx5XTKoG1lcBEQb3VQntB/USSlfrjjz8++XlLe+gBTltL/OSSvc5AuY/XeKnTSyS23gDYtowA6l4cFXSAZ0BWOfvrBU5bdqxa2zvtxSZg18eNAGmg3BHgsNWHuK2gA6F+8sjLukC01Xd5jrb0WNUGsoFgINXKNN4Bf7T0B4DVHprueQ/AUwL79vXHSjYgbY88PjyxALz1Qx28W5W3/x4o95RAOf2w8m4vvS1FJh32fKLr559MLqy8q4cvgJ/T9OKsiQx+C6g3wdFvAM/TCav32u43DVIOz8AkOdLbrK7eCzT0wy7IbZA+zktZdmzCTAfT5NnYYHtkPM12Z6kt49NL7vzUanzxBcPaoLrs2OIIf2jRYLX2Ot1HRyp88yudytW8KoF+JMCWik37oQljga+V30/9WqZKoEpgeAlMFNRHRPL7v36+0m+MegnJCjnQDswD9bbC7LTTTsn+cODeHnQry4Cqlxt9GdGedMD9ne98Z/LBD3T8Pqk3udXxW7xWx70U6b7ffQV+1fOkwPXb3va2/AGQIiqA2++p7rHHHskEIiIS0Ozab7/6PVRfd0PbLyOo78kAwO0DImjqhzaUVwbwVh/vJjMf/ehHk5dfrbCj557JR0RrFdvkwiq3F4Tf8pa3JH3Bl4nGrrvumvRPG/j00izZkaOP+/iNYpMS/daG33v1yy5+Z9fv3fq9XDL2JMPPWKHht1tNYIoMJnUEKE14gEpbc0zuIlp9nlSbg9IFOj0FAUBNrgatPw/l6YEOTAqnyS9gT7aLKtfVZOkpmoUBixK9ygI5JvEWD3qV63bPggBAf+yxxyaTd7S6le2WjwdPrfCAbwslnu4VUNatXof8mlUlkCVg/Fudd+GJPJuyGFdtikRqqhKYrAQmCuqxDrgCqva2A6ZWsr2MClxa2XUfsJcvAe8mAvbRA6wAKVBsaweA68VQ1wC4X6UBoJWzImnbgXsAtmR7jHaUU9cWGzxJ2tau8la75Tmiq028APCOaGgXSDYR0RfXAKuVb/SVw4s99UCslWq/VuFau/rlt4/ViWgB3IjIv6+Mf/TwC4DZ+kNGVta1iQ8r4Fbb8ezpAMBve5NJAfnqH74dyVldfAP8aGubDPVbX6eR6EN/9FlyPY12+20DoLGCZLVzUQEombMdNtmvXEYtJ3gL7CZMo9Kax/oWCUzwjeFu/APRnuz5dS7bwbqV65XPH5g8kzeAP6gN40H7nkra9ohvixF8VUTLR/Vqv96rEugkgSuuuCJZoWeXFqjYlDgp1ncqX/PWmwRqfycpga0mSbxJO6L1kiVw0Wlw2zJiZdGxWa/TufrKAagCW8TKAATIKNOpbjMvosVTs6xztCMiv8DqWp2I1rXz9qQ8XhwBRQESWOTU2sv2cx0RGeyb3JgQoNushyd9jDjNl/cAABAASURBVIjN2a6L/PASEZl/dcnIcXPhEU+AB9uPbPWxEuNlY98E8A4AcGG7j9/Ol2y18jifPNy3amNLESBNVrYM2JIkzzYlQMdKoe1Zytru5B0Cj3DRsUVJe+7ZLqC+9qxYlntoWXVUV1kvPlvF1I42/Ha/dgBPonAPP1aX5PmlIT8FCvC4ZyVTkNJHAcuWKnnaV4Yc8Oj9DNvEtKe+7wvg2UvcVm6Vwbf3S5Szrcw5fqxkkYctG+QmX5/wQ3bKa8fWMnwAYvLxv1piG4A9O1it7Ljus328L8Iee30p2+Poin5sjWOj+siW/MIUu6AT499WO+dsWdmit0suuSSxB9tlfHfDi/5W2dGUnNMv+2Vf8nxfg+2wUbyweXTd0yad4Y/dGW/u4Y2ta5dtGbMmD+zVNz+MDTb0yU9+MuFJOePTExb0PclCw/hh18aUsS2pxzbRL3ZqgqCevrHT8nPCyuOvpulLgI/it/gievfuFz/EvhzZDhviN9kxG1KGzuXTJZ/EftgHf8a2+Cj6Z5NsgX2wZ2OdrfryMbvgs8QJtNmGIxtlG3hwzudqR5tsDF/sk093b/pSqy1WCcy3BLaab/Zni3sOUECXBN9huAPYPTGwsm0CNAyNSdfhoAFf3xM4++yzEyftCBwA35z9qaeemgAWTlrw2LRpU169EWi86CwoAD5ArzKCiQAE6Kgv0KgvAQmcvKACVAE76ihH1vIuvvjiJMAIPt4tEBjwIjj5iJgAok3ASKBxT90iK+AdyBb8lBO8LrrooiTQAEDoqCdQ6SdwTga+i+D9BgBHoDrhhBOSozpkIqA697Ez9PTdxMA9YM+k6IILLkjyvb+hT+QFYAmQ+uIcWDvxxBOTfknqkEnhf7WjCZ+tOJ5orVZ2nPcFciv2QOI46U6TlrHMVgB334mgR3bGFugI+GUvp5xyStYj26Q3tsOe6E0d+lZGHgBEf+wRaLr22msT22fv7M9EgR2xSfTZDFsq9Ywn23vI12QVAMLjmWeemYwD4Fz7aCgnsS2TBe0aL2jrAx7UZdM+9GfssTk272iMAm7ql3Pj23jEF1rGrnvaA/rwbEwY49PUVW2rJQH2wI+wBf6SfbEZeua/6JN+2DG/ZnzyRcooz1b5dZMyemc/bJJd80X8Hnulb/71nHPOSXyssc4OHNm18QHgy0NfeTSd84nskS/mDyW+XBtsqtpOS5f1/yqBQSRQQf0g0upRFqDnhDhNIKBH0a63rKbbSmPrDhDWteAa3zDxEDSszuizbUNWgQV5IIHT5sRNSjx+dS1IKLdx48akbwCD4CFYADH67AVb4NYKJxkCBsCJdyVsY5KnbeDU6g6wTBToAztkZ8uDe4KF7QToKgfICHDuKWfShA/1SwJmBCwr27Ys4Yc+BUTAyRYr25j0UcADhgQuK6CFRwHMxMWWLDwJWI4CJwCGP09f8ERmtkepLwCjqf9+ptQWKm0DkdrWFoCFd9uq8CqIFt77Oeov2dkS1U/5cZXRb3q0WjwumtOmQ3ZsnU3aGsgO2B2QTr9sk30B9/QJ2Oo3W2Dj+GWPro0bOmAzttDZ7sKu6dmEnu2xKwDIFj42AnQBYiaSwJgjGzO+8GMbHpsG1LXPtvCEpnHGroAy2/LYlnGhfdv58MAu+R98q6MvJgXoe9cHTWDL5Bc948iWClv6jHX8yAMKHdmZ8UNu+j5jaaHZEYvoiI8FnumVTtkmu+V/+A+A3jm7ZMv8sHK2d7IJuqZXOmWPbJAd8Tt0rA2+ynti6qJpqyi78P4Xm+LD2Ad/bNJoLHjPzbZXk19PpvgGZYwvtCw8oFfG1UIrq3auSmDMEqigfgwC5UQ5Jo5RIB2GJCApKAvOAvwwNKZVB2AQDAADAQBQ95OZHt9yzJy6dw/s8bf3X1ABCgAAgV7AEBAk4EY9KzueAAADHLsJgP3CAA9QAdwISNrk7E0qJCAIL2grC+goA6wA4ehoX0LPqr9gRt760ZSZwGLFUX31dtlll6RNQIlOvOsAFDkqq64tUsCRtoAxgU8dYAhPEa2v+Snn3Qn5aOCF7LwzQe/AXglk5Kd9ExlPMARXZcjU/lT1gCV18DBI0m9bcUy4Bqk3SlljAsCl41HorFVdumcTdEAvQAm9kSXQY9yzCS+u0xn5sutim3RPZwAPMMPOyUR9ejRRMy6AK+MFiNdXAEt7JnHGBFsw+WOj7AygwpcjOvhEU92IyJNneSbJJoR0oA3258cI8KWecYAOe+V/ADEAkL7YnPa1USYj7JON49P7RWwZbf1VHpgE2Ew2ADT81DQ9CZg8A8/she/QMn15X4xt8tXsx+IEu6N39mHhwX36Vobf5ZPYAR/NXtgwnfOvbPmZz3xm8mMRfLD2+Fk2R+/o8udski27b2soW1PXPYsbfJF2vQ/mxzHEB+MD72Ir/muqElgbCcxfqxXUj6gzTkcQFDg5omHICaoAA0c4TP21qBOxcs++QADIkAenzpFLnDwQIygA9gKOvgITAgsQIFhYySFHwFzwARDQUV8C4K0QWQ1CF8hwv7TnXDlBw7FcK+sccDLJAMasQtrKIFg1ZWdfsAmDbTB4VY9eARbX+oB3tLSL/9KWdrSNnjzXUsSynNCTp+/lvJRVTx+tyOMLuAKelNOu+86VVz8i8kef5A+a8CCIsrtB6w5b3tggR/Ilu2HprFW9iMhfZCQ78tcfYJ7NeEEesPGLW1YogRS6imjVcU5v6pK5uumWP+dFHu5LEZHYAr0DQ8oATWiQn4mzCZ22kUFfmXJujKHJPiV0LDqoC7gppw/qqycpj4421HGv6EtZtqiMsqUcXt1zdA9A9AtbJg1WZW3zsMKrvZqmJwE6onM2wm4AdL/c5scj6IqfMlnk2/g6tqE8H+dJjXq4ZQPuRUSyqOIX1Py6mgkmO2EH9M/v84vqSBEt38QOI1r+j33w79rAn1iHN3buOiLyN0/Qw6OU6l+VQJXAwBKooH5gkS1XKI6Ks+KYlu/0f8a5AYmCff+1ZqOk/gPjVnmsHgLaEjAAeACnHD+gw4F71Gpl0xYGgcHKNacuQFjtMzEQNAQDAUdwQQd4AnatHpK1FUBHAQct97QpObfC41z76qJjQmCFXmAT5JRxrylJgc7qkm1EtsLYDyro4RUtK5UmFUCPPDzLRwefQBPe5QEz2sCjQOa+cq7xiCflneNVvgmNAGkFTVvua8ekR3kykdBHS5Lf7EO/54KnlTL212+dcZTTV/yT4TjoTYOGsQ30kDc90hlgZLXRpNR+eVtTJE919I99Okrl3JGeHdEjezpm18C7smjTDb0DybaDlTEDWFk9tZKpnm1h7Jp9qQuEGWeeIrFTY9M9AMkKPd5t51LPajrbMXlWBt94UAZftk4Yl8riT76nTGgVOchjj+XIB5CBFXzg3hYN96eho9rGsgTojY0Y3yZX3r+hR/vV6YhNWdzw9Mg5XycGmbhZObdf3hNNq/2eHNEvX6gc38gejF82xz/ywfyeya3FCD5fTFBOGTbAZ4sNJpX8m1V7iz22grEptmhssEX2Jbk29pZ7Vs+qBKoEVpNABfWrSajLfYCWsxOgh3U8HCDHCyB0aWamszl2+3Q9orWVxrYEYASYJRMABXgB1t0TUIAJZf3kn0fCwK/97oIPQCBZRRcogAvyFRSAXdtcOHsvGgIwhCNwFOcvgAgWgoSAIeAAkVZOtSOgCFoRrZUnj4HRKAnwAUjQFgRtdQCobXmhJyv89pcCch4TR0TSV0HMCpdAZmIgMOHLRA0tfXEkL/wpS/eAlHKCMD49oSATZQRPE54999wzAV7kqBwwhx7ZoEnGhf9Bj8CjfpHtoHVHKa+vdAYIjEJnWnXZMtuiD+Oe/dIHkLLbbrslOvAuBftiaxGR9E0+W2CP7E89+ehIJnHsx3sXfAmbpV96ZYu+2cHm7KFX3/c5bPMC7NkZW/TSNHniB022qk1jyLjhW9AD8kwK7JMH2uRZXQXulCuTA/xJ6Ftx95KkrTT6basFG3YOhLFjfCuPHp3qo33cxoQxDyxOS08L2s7A3eInbI/xZJL8+VQ+Uz4/S9+2idEP2way2R6AzSa8pMqn87e2M8rn284777xEz8A/puTxUyadAD271J7FGhMCsQF9ZY0BtqZdk2A2ohwe2K1xw47RYsv8m/HD1tSvqUqgSqA/CVRQ35+cVpTiaAQwALM4rRUF+rgA6myB4Oz6KD6TRYBC4Fzy8bBnPetZyX7L3XffPR111FH5g2JWswHHnXfeOfkYl5V4H/QCUIBVDt3q+YEHHpg+8IEPJB8i49wBkCOOOCK9613vSvZaAuA+roWGD2q94x3vSB/84AeT/fw+tqWuoAEIyS8fB9PuwQcfnFy/8Y1vTD5aZhXRnmKr8k3BCmhPe9rT0kc+8pHcrg+GCVIAkY+P2V7ho176qi393m+//dIBBxyQnvCEJyT9FrAcBTj3tO2jaYccckjCsyDp42VHHnlkIi+rn/vuu29uU9vuKeeDbeQkD9iX5yND2iQHv6iiT+19aPann3P2xw4F1X7Kj6OMMUPHgPI46E2aBoBqBZy8jznmmMQO2DTgRNd0TNd0x27ZDdtllz4W51eifByOzR922GFpn332SfSoHN378Nzee++d2IQ8Y8ZE2Pn++++f2Co6bNs4ALLe9773ZZthFwcddFB697vfneT7wN2HPvShxObkffzjH0/eDWFnb33rW9PRRx+d6+24447JpARf7J1NGx/49jE99u1DfsYSOzW5tLJrBf/9739/tnljyUfyDj/88PxRQGNA29oz7sjDpHjS+qn0t5SAyZyFB/qnH3binQ964VPZii05xx13XHrve9+btttuu+QjiOzRBx/5O/pmi+yAjfNzbH/Dhg35fQ22wJea7PGLJoLa5YvZOLthP9p37gkpO+fX2A2bMnEwLtgdHsUC4+z444/P/lGM2bJ3NadKoEpgSwm0ciqob8mh7/8B+rJ6DJz0XbFR0MooIGXlpJE9N6f6bXXOUR8A32222SZx6ECi/rl2jIi8FxloLEBI35W1Kmml2i8qWBmyWnjTTTclYAmIsiJui4MJUEQkNLSlvhcTHa3omBx4vIuma+fquFZHYJKURxcNvAFrqfEXEbkPpRy6Ecv7Q61QSerqJ/r4QNuqvHx1HV3Ldx8/juip4+gab66VU8a5urZdkIFygpq23CdTdNVTXx/Jv9GFoU7RJxOyG4rAEJXYDmDPBtjSECSmWoWcyZsO6IjtSGRmMkhfdESWRT/0V+o40h290bdz5cgdTXXdQzsiNo8Z9mbipgxbiGi9AMvO5AP/wLn77AdNecWG2Dua6uJHviQP/8qjpX33Cw/K41lZ7eBZ3yRlXes7Ouooi1bh11GeNlL9WxMJ0CHdsgf2UfRFf+6xQfl06Vpij+yJTl1jnB7ZQNGppzVW9tVXjl9nB0XX6GlXPW0po2326Rw/pU5E5G+yyGd/aKrnWp2IwEJNVQJVAn095eKBAAAQAElEQVRKYKs+y9ViSxIogB6oB0qWsgb+x/lxeEDCwJVnpIJH7x672z7AuXsk2488OH2BwlFXBBR7Nm15QQ/AEzysMAEjES0gDzSRm3olRUQGPmmAP3XJXYroHiwiIr+0lRp/+umx9TQAKP6Ap4juPDZYG8up9gR0wKyd4CSvAXuP2cl3ku1MknZEZFuMGFxfbDKiez33m2Mm3fIXEdlG6U2KWKbhutiQ+umWv4jIfDbz0tKf64jl+ktZ+V9E5PLaj9jyfmr7i4hcvrQfsXqdVP8mKgG6ZQv9NtKtvHyJ/+OrgXXA3FZA+U36EZE/fNjMK+fKsic8RUTJrscqgSqBMUmggvo+BQnQc2ajAHorEYCToNdnszNZDP9W0G09sP0F6I4Y3EGTh20Btpp4NGs/sMevXqxtgksrPORmBWgtBWLyMu8AtJf8BFtyNoHqVW7c90wSbcWZZ2A/bplUelUCsyiBiEi2VNm+ZTtPm++fRZYrT1UC60oCFdT3oe4C6EfZQw8oWZm2QtFHkzNdBMi2F9L+cC92evJgBWYYpj1i9TjWi1ZW/j3uN2lop0VuHslawR+2rXaaw1wD9gCoR9DD1J/1OmRPn81J1aR59pTHy3Ge1CyqXCctw0q/SmAaEuB7+WDvjnjXh7+eRru1jSqBKoH+JDAfoL6/vkykFEBvdX4UQA8gAUqA6USYXAOiEZEfsUbEyK1HxGZaEdGVXkRrO469nSYWXQtO+AYAuujA3oq9CdeERbmCvJem/awi+QL6K27WiyqBKoGZkEBE9OWvZ4LZykSVwDqTQAX1PRReAD1QPyzIAIys0FsB7dFUvTWABMjUfk6TpQGqjbWonyK0Hcse07ESnhFi7BWwn7aMydPPN9prP8yYmxHxVTaqBKoEqgSqBKoEpi6BCuq7iBygB9pGAfRWkwEjxy7N1OwhJUCmZOuFrSFJjFwN8LRiz1ZGJjaDBNZqj70tOMaetKiynUF1V5aqBNaTBGpfqwQWUgIV1HdQKyABUIyy5cZKp9VkwKhDEzVrDBIgY9uaPAmJiDFQHJxEWbFf1FXlIuO1WLH3a0M+6GRbzuCaWa5hPHsCsJxTz6oEqgSqBKoEqgQWTwIV1LfpFACwOj80oF+iZ+88sGk1eemy/pugBCIi+VUcL9F6iWuCTXUkDcxbsZecdyw055mAvacitj1Nsyvk6RdxAHvjcRBgrq4Vf/Xs00fDXv1p8l/bqhKoEqgSqBKoEpimBCqob0i7AHqgHiho3Or7NCKSLSHTXtnsm8EFLBjRAvZW7E2opt1FduMLw4sMGgF7T57Wwq6BeT8lKpk8AevddGxVvzw9+cMf/pDsz5cnqT9LOurWh5pfJVAlUCVQJVAlMIwEKqi/RWqAmS03owB6pEwGAAhAxHVN05FARCS/e29FGQCdTqvLrQCaQKOV5eXcxTojV/L186zT7plxBayTsZ++dLQKX5JxK19yz7Vx2OTTNZDvd/Gb+fW8SqBKoEpghiVQWasS6FsCFdQviaoAegABeFjKGumf1UQrt+iORKhWHkgCEZEATh9EWYt3GQD7f/7nf06OAzE+R4UBe1vL1mLFnpiMKd8KsN8eeC/JhNy4M6nqNaGmG3UqsCfNmqoEqgSqBKoEFkkC6x7UAwlW9cYF6ItxoDfzv4xSmF2w4//7f/8vWVFeK2APNPYClvMubsCefKe9x75dbibgzdR+v9s13diGY+x3K1PzqwSqBKoEqgSqBOZNAusa1AvqVtSBeuBg3MorwN7q4LhpV3q9JQBwAp5r8bIywMiu2FdvLuf3LmC/VnvsR5Xan/3Zn+X3XtbixepReV+r+rXdKoEqgSqBKoHZl8C6BfUAl0f2HuNPAtAX1dsSoJ0K7ItEpncE7AFPx+m1mhJ7ondpmu1Ouy3A3sTJlqdptz1se15i90I13oelUetVCVQJVAlUCXSUQM1cYwmsS1BfAL2VdABskjpAH7hb9JXbScpwFNpW6gFPW3JGoTNoXTZm+5WXMwetO0/lgeO13GM/iKwAeryuxS8kDcJnLVslUCVQJVAlUCUwjATWHagHtmy3mQagbypEe0Ce9pv59bxPCYxQzN56wB7AH4HMwFVN6Pys4qI/pSnAftoTp34VEtH6ZSQr9BFr85Gyfnmt5aoEqgSqBKoEqgSGlcC6AvUAtRVzoB7gGlZow9YD7L1Eueggb1j5TLIeQG+V1nGS7bTTpms25+XM9nuLdF0mTrMI7O2hB+jrHvpFsrjufal3qgSqBKoE1qsE1g2oB+jtbZ/0HvrVDMlvbeMD2FutbL0/XgnYW2+P/bSBPZ3bgrUWE8nxSrA3NXIl31kC9rbcAPR1y01v3dW7VQJVAlUC60wCC9nddQHqC6C3Ur7WwEr7AB5gj6+FtKoZ7hTgaSuOleVpsUnPVuv9vvq02lyrdsiVfMl5rXgo7QL0ns5UQF8kUo9VAlUCVQJVAossgYUH9QCV7TazAOibhgTY1z32TYlM79xK8q1vfetkL/hEWu1AlB3S96Jvw9F1gJ581wpMR9Q99PRQU5VAlUCVQJXA+pLAQoN6QMoKKVBvhXzWVGuiUffYr41W/AyjbRnT3Gfta6f0zS7XptfTa9UXZwH7iOm/mFr30E9Pz7Wl0SRQa1cJVAlUCYxTAgsL6gEnK6NrvYd+NWVZsbcVp+6xX01S470fEQn4s1VkmsD+T3/6U6Lz8fZm9qhFtFbLAftpcmfLjcnaWj0lmGZfa1tVAlUCVQJVAutCAn13ciFBPUAPKANPs7hC364dfOIX3+336vVkJQDY23cdMZ0VZfboCY1V+8n2bO2pR0S61a1ulf78z/98KswA9HRZAf1UxF0bqRKoEqgSqBKYMQksHKgHjG23AZwAqBmTd1d2AHtPFvDftVC9MREJAPZWlKe1Yg/Qe4I0E7qeiESXiUZEAra9QLucO96ziFYbVugjpjM5G28PKrUqgSqBKoEqgSqB0SWwkKDeTwjOE6AvajQRsee6bsUpEpnOMaIFCqe1oqxXbPS///u/nS58AujJNmIygBvtaU7KFl5htYNVAh0kULOqBKoEZl8CCwfqPXoX4Pv9ZRMv9HlpsiS/ZY7GWqnOir2tOBXYT1cDVunZjVXlabRslZ6e18Ov4UREMr76HZODyJ++6G0tx+wg/NayVQJVAlUCVQJVApOSwAyA+vF2LSLyC5AexQNqnagDAIDA7W9/+3Tb2942/eVf/uXm9Fd/9Vfpdre7XfICpXKd6k86rwB7wG/SbQ1D31OQ//3f/01+d91qs/PCq6Nr9xz7pa+s7Uf/8i//kroBXS+Z/vGPf0zAsHb+P3v3AXRZUSUOvM9UrcvuVu1OuUF3TYMJzGPGPJgTihkTgqiAAmLGRBBFQHIOAkMSAUEyCgIDioAoIiYMCBhRd/fPBjdWuf/v14+eubx5OXyxv5qee2+H0yef0337vVdgwwceP//5z8f6ECp9cSZbAlpgT/OKZm9mpjnHfIEtobejPkl8yImesZduOjPJ+ZqwyM4xP29czO1IlSt50mF4NftP6t584HurR+8nBXcScNgkWfzqV7/KvmESMJsw0Ivvv/nNbxJf0GwzN//xu9/9rlm9qO59kxv/h3bl97//ffZ3aG8nlC7SSX6xWeilNrxsHzOtZxtUxS6mNS9ayxyd+NGLNjqFr+x52LG94E6ijZzhRvZkR8fZPxk24eMx3Rcbm/X97o0D84477kju9ccDcMzneb4WuuQYK39DhvMVz9nGa9El9YWBzkk3E3MJm+8n94uXknlJv2MBEZEi7l4k83YA73Of+yRJnoQkIgroWbkKjoyNgc3KhENMwvg5gWuuuSZdccUV6ac//enaIA7vH/7wh+m6665Lv/jFLwaGyol873vfS9/61reSINQcyHg5mB/84AfpsssuS9///vfXOiD9tJnztNNOSxJ7daOWiEh0g66MCmOYcZy2BG2YMQu1r7dg4+JOFwQ0CwTwrrzyyvTjH/94PZ0Zd55u48nqlltuSd/97ndzoYs33XRTuvHGGxOb+MpXvpLYhQQDrt3gjFovgH37299Ot912W9fF76iwxx0nwN5www3p3HPPTRKMUeGRr9I+Xt2dd96ZyPy3v/1tbhbM1UvqyOTrX/966uAzc9+F+h89wls+lb/lV/k7vvDWW2+9my9EY+lPN7/2ta+lb37zm+lHP/pRMoZ8fvazn623KDJuGgUuZHX55Zenq6++ej1ce81JjmJNrz7a9METeoFWuqB+kEJ32BRe4hd/PMi4affBN3SQGZmLfRZxdFyMtLjXp+g/v8Tv3HzzzUPpvwUD+JdcckkCE13ir1gs/zCHuvlY0E6X4Y7++YzrbPJv0Sb1mFgSewmABN8uvHsJvvZ+JaL17R128u0KRsxuYk9RJQecVj9cZ7OdI/zlL3+ZTj/99PShD30orVmzZm2QgLPE5uSTT04CzqB4gWlBIHhx5s1xjJXD4bC/9KUv5UVEkyfaOLpTTz11qIVEc47mvcWeNzkWc836adyjDc+a9ExjnvkAE18Htb1u+NIRARysiEh218if/nQbM6l6u2Vf/epX04knnpgkS3aMLSi++MUvps9//vNJ4L3ggguSxFJfsp3U3AWOBSwbEXinAb/MM8qVr7pyZpF1zjnnJMnCKDAE6ttvvz1JBNvp81zod5X0WGDpy37oAVviP/QdZf75OAY9eCv54lv5Xv7uoosuShJStDfxRrvkVKK6//77Zz8tYaWfEj+6a7e3OWZa93Anz4svvjhde+21Ay9E6Tf7UsDohR9dsGi59NJLk2SUDvXq32zDOzqElxJisJrtc3VfZPiNb3wjffnLX84xD0/4PzoOT0m+TSyyRrN698YOgrd+fCnZ4B37wWs+FU/AipjdnGcQvEsfPh/O8HVf6se7LvzRizqpJx7JuN12Cf6oCYVdWzCUiNlVckZsd4rzQc98KPe4xz3Sgx/84PSc5zwncQwcjCvcJML49KhHPSo9+tGPzrsGnI3AKwC51x9NAgvHpEjSNt544/S4xz0ugY/uMkYSQ473vve989cjerYTaBy+2LHdcMMNMy6cGzwEfPDBMKd+YP76179OpY9+3QqY6IgYXt54YQ40whMeHKR6zkfCp17iA0/OGi2e9dVW8EarwGbXxFj46q+PMQWu+mkUfCv4wkFCQX7whis84ahO4gEvz3at0Y9mRbv+inr8QYdndJNNmcs8+nPY2soc+tw2s0N93nnn5QUjGM94xjPSQx7ykEReno0lY7wBX5CCj2dXeIEJPrzMAWdj4N+Lh3bjJe1of+ELX5j1/wUveEF63vOel+51r3ul+93vfvktD7hobMqNnNCqHg5wKfTqh0a4GNveV5s6bWzgMY95TFqxYkXyRhHN8NYHTH160dCrjX4JkODhIzwVfPSMR+aAd+kLd33IxkL4kY98ZLYvPKI3eI1ufVzBYo/qCyz32tD4k5/8JFm4SwDJRT3ZKXDjOosojQAAEABJREFUB57+9Kcnc1lQWUDYwQZ3o402SptssknmC/zwmr7iDdh0AZ5gKuDDq+hCL94M02YeNJoXf/CBnODgGV7oca8fnNzDCd6KMeoKfuTuqGhE63ipt8h8pr7tMhfnbEQ5RuqNM7185jOfmZ7//OenF7/4xen+979/frMFtjnN5UrG8CRfOlDmJ0tzmEtfdJW+aMV79JCjvvTYMxjg+twa/NFvHD1Cs7H4Sg/gYj78AE+CLZm1eDEnGbnq4wpHOOnvmS3wAeYHc9Ai1jzoQQ/Kn/kxB52AO1zhgQb0khnewBudrgX/QeYyFixw8AS96C4w4A0ufdWOPhuQZCh30U6WD3/4w9PKlSsTPkrEr7rqqrywQ/8TnvCExAbIn6zYi3nMa37FPf6bC0ynFu573/vmTTm44IFFmLnxBh/wQ8EPPC+w8QU8uBpLFuYjI/fqwNPHfErJAcDAN7qC53AiR/Xg4ZP+rtrQqy88zIv/6KTL8hD4wg2+4OlX8DXPUiqLPqknTMJ3HacwGkZlt9/9OLCGHUuBKTcjGXbsNPrjpwDz3Oc+Nz3pSU9Kjh/YlWdUdoNctS1fvjwxaK/jzzrrrHTUUUel888/P33nO9/JO5tHHnlkOuaYY5JjM3b7tXFUHJtXahdeeGE67rjjkp1QzsLiCg/sOp100knpiCOOyMd/GC+jLnLBK33sVHmbYH5HhLx6PuiggxKn048vEZEdvTc8/fq2t3Oe5rOrKzChw2tTju62maQUjers7kpe0Ov19GGHHZa84cAP93hmdw6P7A7jAYfl+IXE55RTTknGcYZ43o7HJJ45VomTHT/4HnDAAfm4iwTX3HCV6NoBhOO+++6b7PzAefXq1fnML/zQqV5CTp5FZzwfe+yxeYdNPzDRLLlbM/MGCOwzzzwz2UnzKtqVnpCtXazVq1fnHUB4wskcX/jCFxL9sGtMF8CEt7lOOOGErIfkoe36669P+uMlOjvxUZ3gBI7Xvc961rPSAx7wgHw0T/L0xCc+Mb361a/OSb0EBlyyp5/g2k0zD33HIzotGNNHem5+eLmnC+SLf3TB2yc66+iCYC+BRb8dScFN0mP3lp6fccYZCQ/ZyLCyR6MkAP/gDd5nP/vZtN9++yV4kdkhhxySyAI99FtfOgF3+oxHfpfA3IKqOrijme3rB1+yRxc5mxM9aLU7SG70fs2M7MkDDgceeGDCR8/4oA/ZH3/88dmf2HnGT+Poi2QFfnSFzM2PR+zHeLwlA/gcfvjhyVgJA7wnUfgX+KMLv+AhMUH7Jz7xiezv1KML//RlA+iBN1/KZ6Hn4IMPzvihSdJq04Sfo2eSrojOmw4Sfn30lehIisBF/0Mf+tB8TJGczUlOeIsPeCShhh/c2DN/bTy5sYHSRgf5I/xHo/70nt0deuih+Y0WHtNZuOIBnrBFOm+XmJ4YC+bRRx+dF3R4wEeSubF8ORy8ATNOXws6CSK54hP/A3d6PIwMIyLhkzH0Dw10gm6LZXgDXzYAV/Pyedr4eeP6FYkqWukhvaO/+MPGbp95K0X3+AJ8YMP6eSstrsFN3DMXvuAfnPBYPzaEN+yBTfEz8oXiP88+++xEt+ieNnYMf3iYg35YKBca2CMdkSzzI3yRWPO5z30uv5HHc7DNi+/g0Bd+kSzoEVs2j374tHr16sT3qcdLNkpW/BmdM4asyZWs+UB8oA94UvQUfPXkQx70WXwFFyz6RRfxRx060FNoWyrXJZHUT1KYHKtAzklNEm4/WAyVY+Ug+vWdrXbOwM6PxF3CJaFgkHB84AMfmD+rwNAYox0BvONkioPhOLVLBCQoHBs4HB2nYbdfUi1QCCAcNh4IJBYWkrj3ve99SX8OCN3mVs9ZWIRZWHA+5uQYyS2icyA0vr3YJYFfxOBjOGkORRL/iEc8In/omnPh2DkjNDz2sY/Nr6IlO3Dz+piD4gjhzWFx0gKJz4EIphykPhyt3SXJo6QFb9DdjvskntEC/pqZJEsyRx7o4Gwt7AQdARheEncOW+ATkDh2fY2HJx142tOeltDIgcMZbQK3eTzTIW9I0C1YWURbsAla5L/ppptmfj75yU/OwZielKACJjt5yUtekuyCCZ5wUeggh2/ny3xwFUDoCr0kJ/rRiWd0i87RVcmSXUfBsPQ1njzoChwldfrRUcmGZATNFiJ4RQfhSfZsxyJB4GYb9IMN4afAbUeWLqCTnqOFnQiudIyOWGDgLfjsqBsdBd9uVzKz2GGX5qKH+COxpssSSomE5A5dArm3JGQn2SIzsPGLHMGiD+SjDs/xHlx40nn6g29kYazdRrv93tipZ8f4h5f0Ay/QDZ4NBW/3jCETdiFRISvyNsdb3vKWvHMvadCGf2yJPsEbH7WxJfNPotB3dK6YeZvirQp7l1jTHwmS5IqOe8ZPPs8zvp5//vl5kWrx//jHPz4n32yPHdGtYfEjN3JgfxIiSaEFgsSejZAJfPCCbURE8myRTLZ4j194K4EjAzwnB34ZTyVl7JT8JWB4S27gmIt9uNJ1vIiIvEgDVx/88jZBH3KToPH9dqXJmG6rN7d64+g6ezEXHntjRz+H5U/pb25JPV+DNr7DM/2kp/hhB5nesRP92HEZ3+tKbmiCN59I7ngBf36UrbnnW1/3utflzz+wJ3gYC7a56apYoZ7Nkw/dRz+bJw9+Bt7gkj0/SXZ0iC3Cna9i13wKuYOvoM1zkREdVtgWfOmOImnGD/OTHVmDzS899alPTfTeohQNFiL8LtrpBxmqp/PmhzPZowEcfMcfesHO0S3PQA8Yci/tfBT/gw5+Em/Q6N6bDOP4KH0LD9G4FEpN6keQMifFAF1HGD7yEEbK4CjsyEAmOJAT5TQ4XcGB4TEgTkObxMexBK9+OROOQSARwAQQgfsVr3hFevnLX54EMHCMFyA4B7RyBBJiThfq2iSGW2yxRXrNa16Tz+5KgsDXzjFJIjg3zpKzExgkoIx9hx12SJyUvoOUiNbnKiQYEYMl9uiWuHBMglFEpA033DDZneCEvO7EFw6Zs5dQSG7Vc25eJ3qNCk/8wWPt+MdBcuroU/ewhz0sSSAHoWWUPpyoIC6I4Pc222yT376QCz5Ltjh3vLW7Q/ZvfetbExlZDHH+knNywBMOHC/ogeTLMS7wOXnPZI43BSZ5ots8YKA1ovW7AhaO8KMzggs9sYgzhyRdAJEogaXu9a9/fXrpS1+ad9npS0QkvJdIWzDBK6KzjOFhHlf2577Jz/IcEUnCRH/Jkp+gu3RbsHNsZ7PNNsvfsCX44hHeSmDQKOn0DGfHJRztkcho22CDDfLbAEdP+AKJHvzRKql573vfm+gM22viNsh9RORvArOIIA/40082ii+OtZCp3Xg8kHjrJ1mlC2SjzVz0H93kQ4/RYKHFBuGNliLHiEgWNMZERIK7ZAlf6BNeehPCR5AdnAR5MPRVNpjhC56xH/PTOfLkK8BGA5lJ8vkeOOHXy172ssR+6BxdMXYSRcJHZyW7khrHEOFCxnDljyxO8c/86OP/4I8/bEibRAV/8ZUOjYIbm6OH/Mjmm2+e36ziH9+x5ZZbJnyU9NMpvHYlWzKXEGmnY+wLL9FBBltvvXXWc3xmd3AFE2/Nx4Ydk+IL6JI50frGN74xvfnNb05o5LfFAb4DnXhGj9BKH8jW/OTDLvCSDNkDf8yvRESWobnxT/9R+AQ/cYqevfKVr8wbBuhnW+SFR3yUxJGs2FlEZ1/RPj9a2BWePOUpT0lkYQ4wJNz8gLnwAn/xny+0OcDWwKM32pWIlp3gD1ux8GBr7Csi8iaXDRg+D5932WWXxP5sHvBDFtxk1q5X6ozjeyIif2mFmKUOf8kWnhacdIUc+BzxSayla+wL/uyXTsAPPDrD3ooPoVMSevKCE9vAI/DZIl9pPjJZtWpVwhfz8InqIyJ/yyH68IeOkA+c8MibUwXsiMHkBM7CKp2xXda5utb24wAHR9E5g359J9luh49BCFKThDsKLAbJkTAkTtcuBDiMmiNjnByFFbVAy7g5J22MnRMQ/DkC99qMl/BxHMYxSokaWBInjozD4CA5Lc5dW3F+xhf+MPgXvehFye6HIKmv+cDQb9ACX3NKRAYZgw6JhCAm+ZbYC2ACNj7YDaE/EhGwBTS8VBcR+VgHXPEIvnjjXsDj6OEv2LzqVa/KSeo4wawfPWgWNOBG3zlXQYEsOFeJlgAlMMMZ7fpIDgrOgjWnS3fBk4jrh24O2FjJgcApkTNWwLFDhmecPR2Ba0TLQeMXWIp6MsdbMNWZAxyLJnPBXx046IG/ZwkHXSIjCybjtYFZSkTks/L6axfAyKK0u6ezxSbBl9iRG1zoJ16oJ0/6bCx+KO7xAf/QAV994a8vWPqgGR1gwgO9+CoJop8SMTg0bcG4QQu9Ap9Pg3sp6sCHD96Ygw5I9OBBZnBTr918YBU60EB38ABuEZHf4rnX17WMiwhVOdnUH0/ggW+KezajU0Srr3s4Ku7xA2/IxDM7w0+65Nk9euCEt/qbn5yaNOg7SuF3JFDs3HEOySd9xle4mxMv0aZ4VuAPFzpgwQwX/g++eAQXeLoOWsjBXGyInUl0jEUrvedDLXAlb/TYnBJKtgdX7RGRv80IT8kbPmw8IvKmChokbRYNfBJ9IDvz6kdm9MM4NiSZNTea8Ijto1lffIAbHBU4wQeO9FuS99rXvjbvBtNB/EIjmzCnMaMUtNIJOsafwh0v0G/RJY7xD2ISfdJ30HkiIn9ODI7G0TtJK16wX4WuohGf8I+c8abMoR59bEpdxDrd96xeu3u4ijdgqqOP5rb49mZDX3ObA69djSNfiTE9ISvPdFKs4ePFUrKUrIOtjUzARgN5gMeXoZGu0HuwyBVv+V/z4S3fbJx7sqcT5IlusNkLfhmDDjD4EvXkhSdgw908dFisgQNY+uqjfSmVZUuJ2EnTyplQ3qJYk4bfDZ5EgBPkFLv1ma16Bm0FHdHaIfDMYURE/mYSO9MClASQUTI4zoshw5+Bw9VVYZxexXP0Ei7Grp8xDF5fRT/Gz3g5FjLQLyKSQMghgSOQ290Bj1OzKwIWGMMUdHFKg4yBm2ReoLOjxQFxpujn8CSFHB48OB38gj/61Rkfsc5pR7Tu9bVDYofWrhU9sPgxF9oHwW2QPt36wC8ikgTBjopkhQzw1KKOTPVRCgz3ghSHz+mSPzlyzBaEgqdFITk5mmIxpI3eGGMHB88Ed8VYMPFPYAEPf+1UaTcHPPQjMwtJ7fAxzlVxTy/x7W1ve1uyi2RHysLCWH1KwXfBjDwFF0djJBrmBsecXvsKUp6VMta9fuXZPb+Bh/TJnPST3OkHXhmjlDERLfmXOlcBi20Y69W9JMzOl4COpjJ2lCv4pRhf7iMif/AdrmQlINNHeOM5maCv9HeFi2tEiwbP6AeXzPVnq/So9CNHus0O9Fevf/s1IvKHcvWFU+lLVmxKYmOcNjqA53AtcLRFxNoP2Pzu+zQAABAASURBVMODXptX26iFfcNl2223zR+mdmQBbPM2S0TkxY26MheddswAD/hMyY17NNDL0te1lDK2/aodHurRL/mWsDoCxDc6kmMX2o66HWNHbeBOlyV+bIp8IlpvcfDTcQz+xni6R4cdu/D2kBzgzg7MaW44uG8W9KAFfXa+6REfTqfpkTbF3Ip6z94G0xk4uvKZ5AUf/YwFu9Oczfn73YutdIXvwQdvE9ml+ek7fPCzH5xO7fCDJ16BwT9JuvkYdKGD/vGN5gGj8BFd7tWVoi+dcdWunu6DDV/+pfgGx1DFRgsKdBlDr8xpLJ7yaxYy5KofH4+/2ixo4M1+ybn4fbrArvhBPhtcMOVG6AC74B3Rsje+GS/xmh6RL76IB3gPf+MiAknrFW1KgUu34exoEL8OVzptE0y/9QAs4oqpJvWcPEFTLE7NMwFKStQX4VMExmmVRbBNfhMIpeU4KCelUid4USbnsCRsgkJz3KTuKSf8nc/qNAdjpEwSkYiWwqIHbuiEJ6OQ9DCMSeGFD5wh/CYFcxQ46GeEEntHC+yIqwOL07Urg2/O2NkFYMRkySEwPFd19IJTExAiIn8a31leR1jojiQWrfhcznEaL3ByBO7NC55E3y654LTPPvvk14iSMefwPvKRjyTGzpnBcZgiwNo1iOjsaAosOkz2ZWeHI+W8BQc7TdoEVgHNUQwBDf0cKruga+ihRxI1fGMbnJVjEBylD1n5EJ1xJSiU+Sd5BZ/dkRG54bEk3NsYjn3vvffOH5ylj/riK5zpO7vFaztb+rNV53rRYjeo4I0eCzhBlC3RG8kH/0Bv6ID52aFgICBx3hJ/89o5EsjoIB3yASs+wQ6Tow/wZ3v0Bizz468FkTOqjt/AmxwEb0GrnYfolvy84Q1vyImY8/A+cEkO5CXBhiP9hQOZmQNudJLsBBj80IfO2nHEM2dM8QbNz372s/M5anpgDD6Ch3bwwJJcsQn4ep3vmIfzzuiSCOBRO/79nvlUMM0LZzxjc+ZUx4fBXVKCDnbIZ8Mdr/l2Z2Add9JHMqCgD/5kZRza+UQ2ykf6ADY61XmWkAvUbMeZW/Ojl82gT6JCL9ThobnUkSF8+Bp0WByyJx/w0+YzLJIItOAlGr1pQCd49MCH697//vfnrybla/rxrFt7wZOu0SV6SX/QRzZkiJdwQQf+SYrhBXe8xW+44xfa4acvGo3VH30WoewMzwo+7vUlP3TqT099KNaHnfFbAk8mbA+v8NFiFY5sUJvFiOSK/CRNFrXw8GFHMDfaaKOENvYNVzrI36OjyNNY9kre+OIzBBaEdJcfkdjbbGHndB1P4G1ePONL8ID81O+xxx75K2PZu7eEfDJ794FcuOMVHpFp4Ue/q9gAb/5N4st2xTHHiOABd7v16HQURALbD2a3dnxzTJVuiAv8v+TZ4sqCiX+kk/gquWYzZImP6vksdfwZOfE9YMFdvMA/OsYvkDP/jN/mskgjd/4Cz/FKDHIlL/zVDz/skItV+OINvC9uID9HQ/lBOqwObLHWsZiIyF+SgIf8IV/GHvXlB+CPfj5b7uIoDn/F9/lcC72VQ7A99KIFTuhDm/F4RL7g2ShjJ3gNNzoCd37ZZ43ck11E73ht/GIqU03qMd4ukk/8S6g4GI7DNypwMhRLMOVAOAUGTAmaDCZoTs8HKAQNwqUUBE2hCdpYTo4yNMdO4p7DhLs5BG3Brx0uxy3Z44w5R86F4TAqjkoCIkjBvX3sOM8Mm3FIIseBM+5YtDsnuMUWW+SzkgUehyuxete73pV89Z/Xd+9+97sTR+YDbM5bSrr0k/BKmOyaOu/6jne8I3GgnMXb3/72/LWBgo8zj5y5AM1x+aBuCUy77bZb8tobTLi86U1vSr6FR8LI8XCSDN2uAL0qeA5zlXQIcL3GSEol34ICPJ0p9szBcJSbb755Po+qHS0Sfuc0nTeFK4do5xgPLJjgjgccHoeqn4SQgxVs7GQLgL1wGrWN0zXvO9/5ziTpBkfyib/wIB88h4fnHXfcMX9lnmeyRi8dIDfyEszRqNAb8CRn4JAl3gpW6HTml67gBfrJ0mJA4mVOcJ3pdKQAbq6Ft+aic5J0wYMO0h+8oheOZMFNoS+CqFfMdEkgh1d7EeDwYquttsqfGUALvYWH5MRY54UVixg0+gwC/N2Tp3sJCT1yzhUeZI9f8JXooIUdeLbbhSYwJRrwBZPsJVlsSBveoFkwHlUXJF/mhCdYaCBTtkoH6fCuu+6abargtOmmmyZHLnxWRRAnF79d4YpW+mAcmuBNb9ihcWALxPyCNvPpR7fpCxrxml9gE2hDM5nTD/3hZh56Qa7bb799/vwKfuAteRvDziwiyQHP0Elm/BZ9Mq/kyuJkXH+KV/QEfnyZz3KwY/Ljo7SxITTChV6aHz/wAU7u8ZNs0YiH6m1i0BVJIDnhoyQzYl3iEhH5q3+N33nnnROe0yt6apx54YU/6vCSfZMpebA5OLNJc8CF3sGFTeKdMejUn4zZHnmtWrUqf60oeHjOxtm0ep/JIQO4kA9+gwM+2wcDP+CmD/zYCBy1eetpbrDIDn14g5/G0BNj2Fc3G263ac/wg6u5+Gu+gJ7QOXFCzOeTyJPNiyHGjVLEALoAFv7SW/jyPeZnG+hiP3QXLujGH36Cjns2nhzJFgyFjyNDcmETeCP2gMUGyI+t0hl6pp1vZG9kSDfwUTzmC8Qn/bSTLRh0lX6ox3ew8QwcugEP8tIH7u7Vw5P+0yNfbsG/0B04FXnih3v8wQ+0WmTox6614QnY9BIs9Nqo08fzTjvtlN+66mtuPmMUOS3kMVNN6ouzsXsj6aYsAmNJdq2mBSCJKWfKuLLBNDgaEfk8mtWpnQljrCztAnG+FF1QJryIdY6tAWKsW85Bgb+5GXgngCWxh4d7uFoEoEcy79n4TmPHqbPAMQ9ejANnnLF2BjhhjpbMCyyy5QwZP6fE8Bkhp8KA1TN0SbDki+NQz0lw+hwTQxX0OQEOlVPh2DkMTkfSQ28ERUGPPjB8Bs3pCQYMHl4SVO0CKrkUPIe5RkQiY7rcbZw2TlcghiMnS+/Vu3KcHChcODBJrT74YhxHph0P7K7gK74INMYbhy78wSv61g2XcevxDO/JgKzAQwf+crwK/grWHKl+El36IEihg4zQAX+BQRsZ0Y8CTzBDiySAzuAB+jlwekHmYNkto0uCCZ5ppyP4YjweajOPOQUn+NE18xqvj0I2aDNeooT3bB1O3YrEHR3gGUcf8QKf4I0H8CYz8PWTuMABb7TjB/3DA88KmPCnp/iHXvojsaAvYKo3nzbw8MgcArWkhHz64d+NrohWIki34AkuGsyrWHiam7z14XPRpmgna/aNj2RCVuQAL3wnK3ijRWKDVv3Uod+cbFgbXtB3fcEnK3y3EEK3ucyvrwTI/HBzbxxdkjCCi4dkjHfGwwVMeKKJDOHI/5ijzFV0sxu/etXTMTprXviSC/1AMx8FJ320w4XewcUYtOA9fmiDDx7RZ3qkXuJU6MBnOhOxLvZFtD4DgkY+0Hj9zItH+KsNbHZDj9TjHRkoZONZH+PhDk8+h77RAX4QXfCiF/rhPXtwr17CStfZojnoCJ545rfNL/EkU/SjD2x+EX/gwO/TH/yQtMOfDZEXHUGj8a7wNecwPhF+cMZ7c9Il89tg9BbIGw75BrmIVRHreN1LD9rbbDqil+zMgad4YH73+EMu5EQm5oIXXqrDfzjiF/2mB+QEL214h7/G4i9+iRP4xVb0wyMwtBW47IQN4Ds/jnf0n3zpDXmbh47SNfLgg8kcv2xmkgd5s3k4wFsdPMnQHMaDB5Z2/lIcJzNj4Eem5Mcu8YMc8AuubIDd4AX8wSJ/Osm+xXXzWDziEV5HjCardtktpOdl00SWcAiCk/B6hwJ7ZvgSXTumgpDdbUpISSmU1y5es9iNt1MODgUpbXbsvcbxJsB4gvT6xetaO+ISaG8B7OR75a541cpIjVFfXldZiTd5ACevfsoccKNIEldzgA8vibRx5oKrowh26CkqRRZAIiLBXZ3x+oNngWJ+byDgZFHjlZ9XzZwHR+IVpkQdfuaCv3ktiLRJ5jkJr6K8voIXOODp4+iJNx/mMqe5p1UiIn8DC1l0moOD0BYR+dstIvobWkSrbxnrCnZE5LkklhG94dCXwnfz0yHOgrFrA2+UAib5Fpw6wTAfZw3P9rmMU+/aaayFozdYZN+pPSLyQrcdbqe+06qLaMkBnf3moH/owTc86UQ3OOxEcQ+mq74RkT846T7N/LkqM7epveAJ3rq2t7U/g2EO/ZWI3vrUHI8WwQyMZv2w98abG7xhx+ofEdmm0BExOP7GjlvMqURE/trINMQfutFMH8jKfUQLf23KIOD0Uzr1hRs7de3U3qzTR0IhGbCQimjh0uwz6H1ErPVR6Bt0XOkXEVmmEbFW7yNGxycN+RcRWZ74WkpEa35yIq/U+IuITK++jer1bo2TqLb3w3t1EbGW3jTzFxEZj3TXnz746XpXVe6vjg25NttKn0GuES0awIGPMeKv+Cku80sWFmjQNkwRp+UjEmK+XeyGZ0SLp2BFRJY5n1LmV9+v6BuxDk6zvzb0lLqIWCsnbXAobe47yVZ7p3r98Tti3dwRre/819+4QQsclYh1sAYd26kfvNDXqW0p1C2bNpESeLsqjt5IlhkKxZZ42nGXKFNyCT+ld37MuS/HViTKvpVCn4jIZ1klB87YSXQl/O6dq5LAgu+4j6RdcuyMpG8fcKbSIqD0s+suEXYeDIzCA7hJno2XZBvn+3DtsHuTAIYE3hzOMjJ4CbiEWpsziBwABVUK3IgW7oxbQu64kX4WDvB2hMg5O0d2zO2IEvw4AmcsJfP6OF/mGJA+Fj5oVAemM9oKGvHMFa5oxbOCy1K9cpZ2Cqzy6dm4fABPgBoXTrfxZEbvurUvpHq2022Bgo6ISJIvbyw811I5MNsc4BNsPtkVFItme/4639Q5MPQEfLwdZTvBFns26CJiaDjyHUmmnWc78XydOmVoYHVA5UAfDkw9qWcIXg0J6pJfSaaE1+6dxNguumfJv918H37Qz2pPMu88u+S20OGVteTM7rnFgtWzdgaiXjILpmTYzrlFgldPDMmHfOzmc9ranXW3u11g28WXZNt994rQq0Uf8oAr+BItjl8S7UiRhYq+AgL4kmwJuN1+NFkxFtiuFiJwQLd280ng4SLJt9DxygvtFhXmUW9hwcF4m4E35vWmwyLCB2eMscDQZqFgl16C5HUUHCKGd0TwraU7ByJar7jJqnuv8VqaC87xIM3taDrYi0/sh77a/ZlbTOvslQOVA5UDLQ44uucImre7cohRdulBMs7xEMdjHD2Rs/CJETUu408tk+XA1JN6K1TJJaOw824H2hEcK1Y71hJWCa5zWnafJbOOkNillKS375wwEAkCo2B0kgEJvtdjdv4jIknALRK0ScKdCXNmUrtdQ2/qxP7CAAAQAElEQVQGHJGxKABDf2yVVNv59xrWGTcG6KyZhFri4eyXc1wWKuCoX7FiRf7xFOPA8eFVC5iI1o8jWECArVhgSMLRZ9dekm4nwELFnM7Z4QtHgkaLCAsKix0LAvfoREtE6yskLQzUO7epeNsAB3yV+DujDJb5a5ksB+gieURMxzmzATowWaxnH5o3GhbIfEH77Bak3dra+9bnyoHKgcqB2eSAjQZ+K2I8H1/ggOV+Nmmocy0tDkw9qY+IJKGXRDui4miNhNk5eLvqjrtI6iVHkm3JsXuvqnz62Qc9nHGUMCsRkY/hEFNEJEmsYzcWCJJsCa8kQsLFeMC2i66f5BhsH8jxSXkfqJD0gqXYtbfjLYH2LJEHMyLy2T33FgEWFBJ3yTP8nY0Hx1lt9QpcGbCFhTFp5s/OqzESeKt/H5rygQ9j4aufAn9jwdHXh0Ucv/GWwxySfvAl7T4U4wMqPrTiQyM+bOJDQ3b4fSUk3nhzMDN9/TcFDtAvejIF0HlxSmemAXs2YUZEYjsWw815JfR0n5026xfrfaWrcqByoHKgcqByYJocmHpSD3k7cV452bG3Iy/J90lrgV4SbqdaP7vrdt0dYXEu3CLAERPHTSSmdrgl/q4SdAmPNkda7EZL2LVJzh2LsZuuqJMYm8fxHmfPnYUHWwIfEabPX9lnZ70cYYGH4ziOAdkNN6f5Cy4+7CrR9gFMiTh89DW/OSXw5peAG2N+SQx8HZVxXMfxGwsZu7LG2JktxRjzSvSNldD7aj+LHM/45aiRI0XocYZe8g9P3zLjLYB54JQJXEL/WRAVPk6T7IjIXx9H/6YxD/2xIJ0G7NmGSY/ZPl5ZaFvwzjYO82E+Nk036eh8wGfaOKCX3yw0o5te83d0m3/shoO+fKPSq1+38bW+PwfEGfzF60698V27fu479elWR76KdvDdd4JR2lz1bRb9vdl2bdaXe/XgKqVuIVzRCmf4t+FbHysHRubArCT1dp0loL6WyA68HTvB3VEWR1ok9iiQrPqKJLv6PqTqRw8kshyKdmfnJdGOnEhcy666PpJ7ybq5JMnl3Lqk3W61Oc3nSI8PpYIv0ZeMg61YUJifkfmArYQZbs682513NMgRHQ5G4i5JkZw4X2++iEiO1zgLz1gdt7FjDn8O0c6kIz8Se4sWCbcjOAKc/uYpNAl4Fglo9UbDYsQixI+9oFM7fsIfLRJ6tMPd2wOLGvOg1+IJfQu9cIJKPzr0oQMWOhZe/fqP2y5JtRiMaC0Ox4XXPp5+tNct1Gc2wxYl9Etth55t8gXs08Lem7aFKkd4szPFfaeCXsk8H2ijxAf8+UfHLNkl/+ctJ9/YaTzYfD4/zMdaFHTqN2gdvw3moP2XSj+fG6OTYmonmsmHnMhxUF+Ez+CJveKaDS7z2KgTz8RP8jCfNkdjfTmGK51RT3/I3De8aRPz1JdS5tAu5tIVdaV9Pl/hiW62oPAL6J3POFfcFgYHZiWpxwqJuuM0johIbhU/NOE7TCWf+kicfUDVj5f4gQLtjuk4Z77LLrskP6ThO1cdNfGDVn64wG60M/N+QMSPKXzgAx9Iih/P2HfffZMfI5CsOybhLL8fKgDbj5r4TtXm0QmJmUT5wx/+cPLDOb4T19zm++QnP5ksQCTlfvxEu2MufoTBfH4MAY7vec978o8rffzjH0/qfA+rH4XQ5tiP4tmPy8AbfEdmtttuuwQn8H0HLLx9d2tE62f50epHIMDjJDk+7eawew9HsCxc8BmfHF3yNaEciEVDwuQFWtAgoCj9SBAILHIcP/ImpF//cdsjWrv19HdcWO3jOXr0uLa3LdRnfLIAXaj4j4q35Mjmg187tEBf6G/Q+KD2RKvJGzYrifO2U9J45plnpiOPPDJ5s+gtqM9X7bXXXok/a44r92BL6Nmxvp5L27BXuEgyyWDYsYu9v40q8qCPnfwM/2MR5osnJKKD8IOf9u1yFq/0BPxPfepTSewVO21M2bQynz5+jNJGmiuZq5foWgAccsgh6YADDkg2ycrc2sGlF35NFnzPpX0+X+kinnqDJaG3UWfxs9Bj9Hzm+VLCbdaSegmzXW/JvICu2KW2a+e+MN3Osx9AkNw7O+7ojuLT4+rLGXMfCi3w7PpL7p3VtzPtqI9jPvqYw246+HasPTv6A3an3UJz+XCtD62uWLEiH61wbh1s8zjiA4YCF30k4ubVx9ylPxwczdFHu3s4+zYg+KrHF3hYeGgzvzcPxtrJtDtil8IOPkdghwMdFiOKcWDhjbEWSIVueOhrnDcWnAk+LLTC2Qk8Po9hR6Yf/nbOHfXC29naDaXD5NgPt1Ha0a+MMraOmT8coJd8Bj9Ansr8we7umPR6klBJ7tasWZMkU5479Ueft4iScRsoNi0cG/T5Jz7LZ5psSPBbncZ7q4NfYgYYo/ov4ywcLrjgguR4Yjd8O+GwFOp8za9vZhF3ItZ/28iP+kpHG0XdZNXkk3jjrQxfLQZJXiXwvhpyhx12yJ+x86UZFrjeKJ933nlJ3HdkVGLuLbZddz7V23txlR8H1zzkZ9EgGfY2Vq5gg8tcYqY+87k4beDNlZjuBINcgi3R0fmMd8VtYXBg1pL6iMg/JBHRchoRkX9soZMRRty9b+rzFxH5g6wRkT9EGxGp219E3A2P1OEPThxKh6b1qiLibnMbm3r8RUSyMBCo+vWVtFswOBLE2XECFiicMGdnfERketynmb+IyM8SiFKXZv6MtxNTXnnOVI38DwyvPDlfr9Dtuvh8APher9uJU7xutbvinvO1O2nnvOxKcNIWLL62VMAV7O3O2L2wuycwcPi+etRvDtjFAUewsLhx5Em7o0nmlkQI2ubzul7iMTKRIwwUmJQRhvYcgq66w9iTRbPSSAb02e6gb5eiu5IPAdmCkz1INBxVIDPJDDthI5Jbx/ckqhZ/7BPSklU7oHTcsUA72sbSXfqtTpt6u5Z0204muOzFnH6rQqIgUWIf7KnYIxtUbxzc+QHj2Cy42tkhXDoVbWyJ3bJfOEjG3LNHsO3Gq7cz68ikRN+xQXbJhtGNT/inHm58gDc2kjEbD3yKpEZ/NOMvGvlAGxV22cE77bTTEnj4Zgza9T333HOTHV/9bGB4U4fncEKn3Vy/A6IvXoKBB+jAD0kimNrQhK94aVNFQsm/gA83u9ae8YHswacTEtROPJyrOvTQUTyAJ1mTE5r5V74TvfRCbKFzeI5+bXSGLuKnPmQIJjhg4jm9l2Q3acQbSavFgM04CzOLOG+6val2BBcc87EVRyVtwvimO7J2BId8yFectHHlTXuZg12RLz0TD21iGdfsU/q6ws989I6cyBUP6BrZogsd7BTd4NJFcUZ/esS+8AG/PNMDONIbMYs++yppvKMz+htLV/BKfFOnn7m9rTM/fZXU4y97ZyNwXkClojrPODBrSf08o3tO0bFgsOMhmPVChFN0fMYOh6M1dvi9QfAmQbDrNbZTm4DO4XLUndoHreNUBdNTTjklcU4CBEfPqUkAzCMAn3HGGYkjFVDdS0aMEQQFd0GS8+dYjRd01XGWkqOTTjopFdgWC/pJhuz6cIDGwFkSwykLEBwoZwwH/bTPZhFcyHeSc9ppFDgEp0nCrbCG44CALuBLEOg5naaDEk1FcitgSwglSfpLpiQIdJNOC+JNOUokwJTg6O+ICt2WGEgKLBLpviLJoeeSLYtaiQB9Z1fwcXzB4pdNSd7M7Q0X2BIZiQg4klkJij6eJSadOEHvJKrmMB+bhxfb8swejZPcSpa1SZD4BDZoU8GiAL2+3Qst6iQu7FixyImIBCZ8JXT4a3EuCQKf7qMVD/GL/9AP/nyONjhInPDes3u8kFThDTrxgW1KdMtc5uGfwMMrMkIDnpIvf4QufgxcCShZmxfN+ACuhZmEGK1wnuvCR9Mr/CInflQSrg69klf6hWY8k6i6p3v4I07ggViBbrojkcYv/KTfeMbPt9OM15JXb6QUPtFbaVd6IPZJ1N3z9WQiefeszZxguOKj+oh1G3X0AV1sj22RNVmZk84a0yzwIyd0Hn/88Ul/8mcvrvTIYlRsKjxhZxZ7YgjZ0gs6IEaRN9rpBV3FMzxh2/TNHOzND0WeeOKJCd/wT8KPr2yPHrEFCxELEzxg/2yjiXu9rxwYlgM1qR+WYxPqz1Fxcv2Sc0bvA712MZy997pO3ahocEIcXHGYo8DhjBSJuUTDLgynLWDYfeB0BRJB2VwcoADu8wCCOIfJEXKy+nit63gSR865Zhz/3//LX1fqqJQ3E44jCQSOGQlYnDonzhna2edUOU7Bxs6HxY+jXaPQN84YcrUYGwdGp7FoxutObbVu+hzAfwnMlVdemeinwE536TmdIxv2KSmhxwp7oOfetjkiIMEpmEo+JAESVIHejjXbluTYFQdbci6pZv+ORjheIAFnd+DwA+aXhLJnCQ48+Ap9jZeUShT0k7xI3CSjEgv25K0hnQWvvcARbhYRkhD90eBNg3vHBdmjXVa77t4eSqAkNOzesQk+Tj/HHYufYJd2V+FY5pT8WxQp5jUGL0u7xMdc/ARbZ/sWJxJO9exdUs0HSMTIB0ybIfwOnuCjeeFpgWEHWV8ylSCSr8TNESFJJhmStTnwgJ+Bm2f90CnxIwey6+fLCy3TvtIBixy4WSz5nJUNITThozYy9Pk2vNOHTtE1Caxx+MOn86/oI3+Frmunn3RBn4h1CTfa8A0O+GG8WOGKd2BYnPH5dA//jdHH1Vz6sje6pK690GWLRvM77gqGhFmCTgcUNJbimT6wE4X86SJcLMLFK/bATtip+MFu2Q/e0AELHXjbQMIrR3HpMdzYuZjGNuGir3n0Y5d0Di/YNh6wF/qC9+CwHfxGk/5g1lI5MCoHalI/KucmMI7z4tgYfC9wEZGP+HB8EXd3oGmEP06KE+NgRhieOCEODe7eJEhIOCqOTJEkCKLOYeqn+JCy7+Yvr17t+Nj5E3gFUUk7ZyuwCjzuwfZBaUmR5ABchTOWoHD8nKD5wRBkBQUJkMLpj0LfOGMiWt/JDs9x4LSPFXBGlVc7rPo8HAfwXbCWSEpqIiJJWOk3G6DfEnoJpOSV7AV0/dmaBFhi5Qw524mIJOmRRNFj8AV3RxXAktjqxy/Y9ZYMRES2O7D5ARTwHxbL6oyTpFoEF3uAA1vRjw1ZHFtUsyU7t+zP20IwwGsv5rFA1V+Cw2aNZ2PGmFcxL/wlR8Um6SsatLsqxrrCx1VbmRNMCZpk0a4xP8IPaJfwSB7RwK+ATR6SKfbPzvGdzUvk4AEf/JS4Or7In5R5+Qo0ScKMJwt+yDhwzS2htLDgl/hKvDIvfvhtEYmaNosmiyRy1hYxvn9G8ziFPuEj/bIwsph57nOfmwre+EpPXvrSlyZJLN6Qh3qJP72lH3gDD/IFh7zou752pCX3ZIpX+pUiEcZrOhKxjh/4KjE2xiKMDMDGf3pjvKtxcKF/6toLuSlk7hy+t6PNfgAAEABJREFUL6yAH1mwJwtXNlOKJJt86DqZ0YlVq1YlC0R90YwHdEu9Phal+AcH/RwdgitbtoCwqw5PcCXjaNOXDnuzTsfoILsX++giuaAVHxXj8akUC+jC83aa63PlwKAcWDZox9pvOhyIiMQhzXZA4Hg5EU5mVMoiIn+GgVMXEAVGO0AChm/wsRvT7pw5RkHaGE7ObiU8OHrBWT18IlqwI8JjLto4PcHVWP2d0eTUJVl2Y+xWcvgG6K+4n83CWaNxknOiV8CbJMwKa3AO0DkBnJ1KhCRIFqkSAgG6QCr3+rMxibU3VZ7JT9LI5uglmbraeVQk8ZJzdXaxX/7ylyfJrOMvdgLpt8TBeLCatmB+ba4Ke2QHfIvEgo242oX0w3vs1BEMRyzMra8x5jZecc/GfAuYq+MbjhLoX9rhYifUgloSxPbpPtq0gVGKMUr7szr2b6wPbPIjcLMjr630R58ECGx1nvEXPniHVnX4YlzEOt8REfnH3LQ5NoGf5nGUEUwJn+QNHyTE5OVH/fiVMp/k2Le1Sdos4rRLjNFvxxdceJl7Lgsc8J4vlHDyseihP/CKiOy3I8JjvndDbmSAPm8jyBt/8Uy7wp9LfCWqFp+Oo1j0mE+7Ao4rvrnCRx/92QL4+I3/dsyNLXYBVws8yTNbimjhCAZYirHkzQbAYIMSaG1kqRhbiueIyHTCCSz6ZoFCX4yLaLVHRGIH9ACtbF0sY+vedviGPbvsjulY6OJP6WuhQn/xB2zzgq007z3DA18Vz3CCS0R4rGU6HFgSUGtSPw/EzOAFJM5qNtGRdEioi2MZdO7ihDlir6Q5Ncm6AGmXx9lExwrspAkmHK96r2W95vba0a6mnRFj7QrZBdRX0ARfoLYrag4OT6Dg8O2Y2Smys+J161lnnZW/Ik/w8ppdIBOwBRDBFhy7lZzooPSN249zJktyHRdWczz+NJ/r/exwgDwl23bh2Mvq1avzuVyBXSIrYaFjdvcUzxITek5/9XcsxNE0tqZdgmWnEkw6K1m2o0jXLYbBpeu+mpet0H26bIx7u5JsRj82aKcQXDrPptgHe7Rb6Wyv+SXe7M8RC3NIWCSiEhO4rVmzJrG5wlX6JgnTf5NNNkkWBZI9eLBHyY/xcIcL3LWrZ+9sEq7g4w86XeFpHoukMhc+OessWZMYSYrQhU/GmdPYUiehgxNaHZVwHIY/w08LEPDIijz4E/JQh8f4gC6ygBs64aodf82Jf+7NI8GEj+OCEl1y90bRMxlL+iSQ8MODQtNcXfkdO8MSXbvpPqfhiBE+Ff2gN3iHVjLCJ+36e+NBBmSsP7rwho6hmw55iyrRJWuw8LjQK+llM+Dzu8Y5tmJxSubmwTu75HhrPjDIkJy99bX4RIf+cCjzk5UFqUUV2cDXIsx8Fll0WhxoL/RC8k/32BW9BdtbLbibly7gBVl7E2Nen59gO2TuLYNEHt1sAc70Cq/pkzP64h5e02881cdVoY/gR0TCGzhoRxM+4gM9Knys18qBUThQk/pRuDaFMYxZEBHUpgC+K0iOjcMR4Lp2amvghAQDu5acFIfLqTpawxly/BJrTllgkdR7XSnJNx/nK+HQn0PUn8MUjO0KCox2uzlgsD3rx4FaGJjXK3XJvQ9ICRKCgO/q9+rUq2Hnks1rR4bDHYa+NnL7P3boAVf4dWgauQo9Iw+uA8fiAPukc3bj7CAL8uRBx9ksvZZwso2I1vEaiYfkQrIiGYiIfIRGomOcQO5YhAWDxFjCaTfYTqZ2yYo6dgGWZMPOJv1nX9rVSRAkTmyGLbNN+udtgp1+Cbv+aICrpEwCI4mAn+RNu6M+7JS9YVZEJImT/pIUtiyZcfUmQeIrKcEHdRYQ7FhSBr5En09Dp2eJM1zhj1d8h3kUc2qzgJD8OGojYcbXYrvmkmhJ6oxxjILdw08ihU/ebmgrcnAcB2x8hYvFBj5I8MgFXXwLHwEOnyPpl7zjh8/ukI+54GJnGp14hzd8DbztcON1xNzvtPLF5CNhRbOEmo+084x+ssJjeuKKX8aQo2cLRrTZmeZP1fNlrurxlJzpDXvAWzwFR5HU26SyyMIbvAWTbB1V8kFSCT470I8NkLFFpc0hb1/JEiw40hW4kxV4fLo+ZE/H2Ag6LX7plna4leIZ/mikQ+KQBQW5+q0YNLE3c9FJ92KUTSeLBrjCBRw2h4fwNh89sLi0aKALNqjoG1u0sWOxwDbxLqKVzKPReAtgCyZ6pYiJ7NZctVQOjMqBZaMOrOMmzwHORJAWeCcPvTtEDkUywMl277WuhbP0vdO+neYzn/lM4tw4TQF/t912S3YmP/3pT6eyg8XhSuCN2X777RMnrs44PzTmx7622mqr/GNdXoGvWrUqHXzwwemggw5KdoQEYD8Ktvfeeyc/MmYeZyn9KMlxxx2X/LCXOgFm9913T/vtt1/ac889k+ABPwkR/NZRMP27iEgC0SRnkqgMKqNJzlthtTgg0aSrvtGCXvmRN4n+Mccck/bYY4/k3o/bHX744ckPv0kE6ab+dPcVr3hF/o7uj33sY+nQQw9NbMKOqGc/yOM72/2YnGTFbqAf2GMLfqyOLbEZZ3vpuB/W23XXXRO4bM04+k732Yzkxm68H83zbSd+5MliQbLCruC+8847Z1uUuDlWIDlp6pcEw87n/vvvn/z4nR/WY4cSGQn3Rz/60XTggQcmP8aHHwr6+QW4+QyB3Ut90AEv7XaO2bvkr8XZlCRYbButjgfhhcQNH/AKjXiFT77VxuJf0uVH/vz439Zbb52MQZ958MU49xYBrn7AiF/gc9zr4weRvMnADzxTd8QRRyQ8Nn9Juvzw32GHHZaOPvro/OOGfBg4fiARvn5MED4RvZP6Qu80rxGRF4/eeqLTj3fRW8/o9FWkO+64Y7IoI4Nddtkl0WF1/DM54K9nCSi/SrZg4fFOO+2Uttlmm4Tn73znO7OfkzAXmuiHBYUk2SKMDu2zzz7JESWLJd8kw0bohETZZ1PA23bbbRO9EBfEQgsF+JE5HcZnslTvWBRc8F09/bc4a+JR8GlejXNkStlyyy2TxRg7oeMHzcQbc4u/9IWumpdN4Qf++fE0er3ddtslMPAHDHrI/tAJH32OOuqo7BfoCv4fe+yxyTE4i232SG8t0sVem1f4xOaa+Nb7yoFhObBs2AG1/3Q5EDE3Z+wl9nZpvIochELOk3NVIlqBLKL12wOcogAJjkTUVZGUSK6N9RwRyY6GpF0BS7129xx7xDrYHJ4goF1xLxkAMyLymUnwli9fnpbPFEk1PCIC2FkvFj/wmeTEdqomCa/CGpwDEZF/W4NO0XE6GtGqK7rqqp5+RkTWb33t2mmLiPw7EuU+InICJlmhr8almT8wjJMg0aNSH9FaLBb9ZlP6gueqRLT0PaI1P7hw1kcB1+YB+wHXTrodT0chmolpROQP6Btr57T0T3f9sUcFTFf96Dta2STY8FHcK/p6do1o4QlcROQfIMIHpcxlTOnv3jjP7iMiy0P/4j8iIvuB0i8igM91+Agvbe7hWfC1k+oNjG/UsTtvh/a2225LPixro8F8+uO78QoY+G9+9Ee05soTzoP/IiKRCZzRjQYF/+AfEZkv7tXhBZroC7o8IyMi1uosOPqAiW5jU9sf2XkD5GpnW9KqH3ilmA8uhrqCib/aI0J1LhGR59YfjNT4Mw598G1va3TLt3bjxTZFX7iDGRFreaA+InL/iJZugc9etClwFHNcza9zRMuG9VPUK+Ab497Vs3sFH9Xhjx1+b5joWkRrfnBrWdIcGJn4ZSOPrAOnxgHGzmlyKFObpANgr0sl9l6FdmgeqCoiciLAcXmVaafGTqAdQI41tf1FxFqnnfr8RUR2wKVbRMvxRkSpylf840Bd4ZEr5+g/ycYkp5aATRJehTUcByJirX6nAf4iom//iJYe09fU+KO7kkXXRnW2F30Veh5xd/1v9o2Iu80f0XqWPBW45vDq3y6l3dvU+IuIPN48pX+66y8i1tpjROR+aeavvd9M1UD/Ilp86DRXLwD6K736aItYH9+IyHg7ruL4np1hSahNDvzwgVAJYJr5Q1dznvJMDhEx02P+/YuIrC9pgL+IyPJEDzojYr1REZH5pV2/1OEPX+iRtyx2svHSkZQOXddWRUSGG7H+nKnHn7m64VGGSeQd3bHIgJddcfGotHe7RkTGqcCPaD1LyM2b2v7UKW3VHR8jWkdx4EHHvA2xOOnYuVZWDgzBgZrUD8Gs2ezKaUrsrfxnc14OWFAbJ7Ev+Np9kSx4te9VK6cVMZzTLrAW6tWODllOCv9OC6OhYNfOlQNtHKCfkloJj2S/rXlJPHpzsemmm6bNNtssOebj6I3jVN6UDJqoLQlGDUgknbLz7LgL3kbMnd8nP28eHJ9xNMYxOon5gKRMrZtFhkWkzy6I9fCc2mQV8JLhQE3q57Go7RBwiHOV2NtFGIc9nJYPzW288cZpxYoV+fV6xNw593FoGXVsRCSJ/ajj28fVpL6dI/W5cmB8Dkio2KnFjUTU20WbEOrHh74wIUwCa7Frtt84t+MdEckbU59V8YFWH+y1eI2Y21hkYYE/rhFzi0s7z+rzwuVATernuewiWmfsGX/E7Bm+HXtHcby6nOcsmtfoRUSyuImYjOwstPq9yp7XDKnIVQ5UDlQOVA5UDlQOTIUDc5DUT4WORQ3Ujr1znbO94zGJM/aLWjADEudVtN2YAbv37TaJo1F9J6kdKgcqByoHKgcqByoHFhQHalK/QMQlMXTuzivh2UTZjv2kztjPJt7zaS6LMq97J4XTknl7MimGVTiVA5UDlQOVA5UDS4ADNalfQEKWHPrAj6M4s4l2Sewd/ZjNeRfLXM7l2qmPmMwRnJrULxbNqHRUDlQOTIIDFUblQOVAiwM1qW/xYcH8H1HP2C8YYTUQldRblDWqRr6tZ+pHZl0dWDlQOVA5UDlQObBoOVCT+p6inZ+NksO5PGNfv4FleL1w/MaO/fAj64jKgcqByoHKgcqByoHKgf4cqEl9fx7Nyx5zecb+zjvvTPXDmsOphYReYj/cqNp7wXCgIlo5UDlQOVA5UDkwxxyoSf0cC2Cc6e3Yz+UZ+3q2ezjpOYIz3IjOvevxm858qbWVA5UDlQPznQMVv8qBaXKgJvXT5O4swI6YuzP2vhWnJvaDC/lP//RPB+9ce1YOVA5UDlQOVA5UDlQODMGBmtQPwaz52tWO/V/91V+lufoe+3rGfjDNqMdvBuNT7VU5UDlQOVA5UDlQOTA8B2pSPzzP5uUIZ+wdxZmL77GvZ+wHUwnn6slpsN7de0VM5qsxu89QWxY1BypxlQOVA5UDlQOLkgM1qV9EYpU0Suzn6nvs61Gc/so0id36iJrU9+d07VE5UDlQOVA5MA4H6tiFx4Ga1C88mfXEOKKese/JoDlunERS77jVHJNRp68cqByoHKgcqByoHJhnHKhJ/TwTyCTQkfTN72r23IoAABAASURBVO+xnwSVCxOGtynjYj4JGOPiUMdXDlQOVA5UDlQOVA7MLw7UpH5+yWNi2Di77SjOXJyx96049XvsO4tyEgn5JGB0xq7WVg7MMw5UdCoHKgcqByoHBuZATeoHZtXC6yj5k9jP9hn7//zP/0wS+3rGfn2d8RZl/drBayIiWbANPqL2rByoHKgcqByoHFjcHKjUtThQk/oWHxbt/xH1jP1iEu4kzuQvJn5UWioHKgcqByoHKgcqB1ocqEl9iw+L+n+7w/WM/aginl/j7nGPe8wvhCo2lQOVA5UDlQOVA5UD84IDNamfF2KYPhKObDiKU8/YT5/XvWb4v//7v17Nfdvqr9L2ZVHtUDkwNxyos1YOVA5UDswxB2pSP8cCmM3pyxn72U7s6xn7dVIe93MG9fjNOl7Wu8qByoHKgcqByoGFxoFp4luT+mlydx7CjojkKI4Pz0bM3o8Y/cd//Ef653/+57TUvxXnj3/848haERGpHr8ZmX11YOVA5UDlQOVA5cCi5sCyRU1dJa4jB5yxX758efqLv/iLju3TqiyJ/f/+7/9Oa4p5D3ecRU3/ozfznvyKYOVA5UDlQOVA5UDlwJQ4UJP6KTF2voOV2M/FGftyFGec5Ha+87YXfv/zP//Tq7ln2wYbbNCzvTZWDlQOVA4MxIHaqXKgcmBRcmCqSb3zw//93/+d/uu//iu52qEd94OCRQrg/Nu//Vu64447MnzPpW3YKzz/8R//MX+3Ohz7jXeEwlES38U+SP9+8OaqfdQz9ngtKZegKvjRTkPp00nuJbHH9/Zx5RnMf/3Xf03/9E//lOVb6mfrWvCHA1o7zQtH9P3Lv/xLx2NF2v/whz+kf//3f8/tnukLur21cN8OFzz8MX97m6M38KGrbKrZrr95fv7zn+e5mm3t9/CAM9sxrr19mGfyYQfdeNQJFvrRSXfct/eBE96gUR/4tvfp94y/hU/g9evfrx19Bed2fOCoTWlv6wd3MbSjmV7+/ve/X0sOud55553ptttuS7/97W/Tb37zm+R5bYceN/j5u9/9buD+PUD1baIb7M18dK7vgHnSgX7DGe5oaEcL/+kjG3Klv536tY/r9gweeyJDsJr98I3s4dSsH/cevvD/9a9/nX0oPRsXZqfx4PKHaMArdKCVP+3Ufz7XkQ2fTDfIrBeu6JbHoBuve/Xt1GYMGHimdJpPH/Xa2bX+nWD1qjMOjuTSq19ta3Fg0kl9C+pd/zOKH/7wh+nyyy9PX//619O3v/3tdN111yWJByHf1W2ki2Tp+uuvT+edd14OGpR5JEAzg+DyjW98I333u9/NzmOmquc/SnbDDTekG2+8MQlmPTtPoZGhoNd1XPARw5+xZ5icwXe+850sV8khw23iwrHgERkJ6vBttjNQMNrrSx8y+clPfpLIhYMq9ZO+wltQci2w3cP5mmuuSeeff35y9axeH3wn91tuuSXrzO23354XHupLu2ALfzxAw/e///0kUKBL/+9973vpBz/4QdafAtcYtiEBAqdZvFnRfvXVV6crr7wy63yzHQ0/+9nPMr7srtlW7vFagTt7vPjiixNZlvZRruhjBxbYhf5+cATQm266KdPBP7SPA+ub3/xm+upXv5qTQjzrB7O9/Ze//GX2NYLBuDQab+HCP3zta19LN998c+IDzEl2Etdrr702kbckRH23glYycO3WZ6HUo0Ohe2jHA/xQx174e77/S1/6UjrrrLMSne9Ht/Zbb701XXjhhYlueZ4mP+BKV9gDu5jmXJOCzQ/QxUsuuSRJeNHQhI1naGFja9asyf6LPeHnr371q0Rezf6D3NN3fgxMsMlZMZY9a+O7Sp36cQtbold0xxUO48JsH49XbJvu8qvu8fRb3/pW4qfZfvuYSTzjkzIJWAUGWujyZZddlq666qock0pb+1VffpWNysk8t/fp92wMXeQPi18U15vjxCKxDz5kaE7jmn163etLv8RgtHnu1b+2pTTVpJ5RMpZ99903ff7zn08czOGHH55OPPHEbDDjKLXAD7akXgI5jvFRFMpGQdsdZCclKf3RNw4NnWD3q0OnJJdzNn+//oO0SxiHOWMPB8nSl7/85bTPPvskwYWjL3PhJSd/yCGHpJNOOinBtxOfOACJfacgU3iszyAyKXMPe+UwOAvO3JzGo4UTkdB/5StfSXT2oosuym9y9EEPJyVZ+fGPf5w/vIqHEWF4Tvh+9KMf5URGwisQnn766YnjM5bOgv+FL3whJzqFRs4RPHI1TwZ213++khSu8JGA0PlmHzIR9MDC62bbXSDyYlrij1YJM/nhbae+ZUy/K1wHtRuwzGVBfvnll6c999wzHXXUUZmvcC7tAg2fge+SfjhqG6bQKXi5DjOuU18442vR6YMPPjgvyPBb2+0zi7ozzzzzbsl+Jzj6SxjYLtw69VkodWSCbvTQPTZPF9wL5PSLLv/Zn/1Z9vUWPvpo70UjPRD8LTglA/jbq/+4beCTC9zNPS682RhPF/kV9mujoB1vNNEvC6oDDjgg8T38xjHHHJOOPvrovBBoH9MPb3LDI4VNkbvFl3rFfOTbD84w7WDa+OAnzWXeYcYP0hfuYhl/LrnlY81jbnoxCIxh+4gvYg4fbv5hx3frT6b4JB7LjfrJQ3/y1G8UPIqeiW/77bdfOuigg/ImTIGlXUyjg/IEOjsKT4s8XMHsRn+tb3Fgqkn9X//1X6f73ve+yTetbLzxxmmzzTZLT3ziE/POgV0bAhbgOSY7OxJ1wcKVwmtTLwlRD2XXO2de61IccAmacnoGzzilKKux+jNWsFy1lTmNkTA94QlPSI9+9KOTr3sEi1Hro1D6pjJJ4FauXJlWzpQ///M/T2BKThmrXVZzNudAh3ngoZ/+4HLOaALbfPC26w0OmrQZZ4z++AL2FVdckXcx9cUP/cYtaBr0jD1+/c3f/E36h3/4h3zUwy4QJ4UOBZ8FZAmsD+PSAR/y1IYX6EELmvX96U9/mnextRU64fOgBz0oPelJT0p/93d/l8nDUzzSx1jwFLDMpeijDv/wGc89ZwAd/uPQJR/GkrsuYDjq8ta3vjXtsssueX40wtW8EhYyuNe97pVe/OIXpwc+8IGped5dHwGC7B73uMel5zznOQkOV87ssJtHoop/+CiBgSO6LATAAc/RKLgoEZHoGT78/d//fdKGNri7whu/HvCAB2Qb01diBWYpcJcEWJzoS3bohCuc4IBn8CQHsI0BHw6div6PfexjEzuQvIFBNuY23ljwmmMjIvOTTpifH7CD6F5f9ix59hbEtzTd5z73yR/oRiN7AZf+uDcf3NkEHVDPdvAdn5785CfnuSIiL7T0Mx594LEdOKITn+DQxLXcF37xEfe+973z2ym7h5JzbQ996EPT/e9///Twhz98rf8wB9wU9+jS/+yzz87+z5z4V+aY5BVcfOAfzFP4gl/u+TM4oZms8EEd/ujviod4rA/ekita1OsrebCbzhboEJ3dZJNNsm6i0xu6iEj0/7WvfW3acsst06Me9ajcXvADE55kocAJfvSXHZhHXzjC3f0k+QQWWyLTpzzlKTlOwQf95kMv/cAffc0PFzzSjhd4A2d8UuiQ/sahT396bSzYxtJBPFPvqh9ZgWke9WCD2+xbYODLX/7lX+a3bOr0N64UNPEV6NLvYQ97WPZTbO7kk09O/Aw8zYFWOLnSUTBcza0eDzzzVWK3GGk+vsymhj58Oz8NPhrQg358oENg4QNczYsm85nffN0K+xcD0kwHcMDFY+PAwntwwNcGtvqCA32iV0rhs/7Go8HVWPf8l7EK3/H4xz8+8afG6YMeeBd+GAMuuswNL/LVX9sMyh3/wVFyi3dipHEKvMBHJ77B3bN5yduzPp7hYAz8TWI+47SzHTLvh0dEJDIlT34SLWCjFf/MbU715uhU+D4yYtf6WRjRLXPrj1bxTSx0z0fIB7TpYw7zuSdLz2hAi3p4oE2ex7fc7373SxGRcw646m+cPuTmnh2pB1O9uZZamWpST2k4Z4WySRoJhpNgCBhvV46jsYNgJ1O9QGFnX3C3k2fHlKAIidAYhB1ggYMBEBoFl1gKmmeccUbeSbMr+cUvfjGde+65SUJjp0JSQ/FOO+20dMQRR+RdJIm4JA08SgUvR0vgoJ8ABr554MCgKLDVMFhWxnbqODq7eOa0w2D8kUcemcqrPHRIBvSHv3rGYD4Grj96vT6Dhzm90jQOHuCbF6/QiV/4Aq9JFMGAjCxsesGLaDkEzoNDIBOJOcNFj4QMTzlk36uu4BtjRTN5OEYiuUXT6tWrE3oY/wknnJCTHokB/pKLXSG8kHzrd8opp+QdbnXmpC/GHXvssVnu6hi93Sm6Yu4mPZ45AaXAcPUMfwn3s571rPSQhzwkbbjhhnmxJ3BpRyf56cfxu+JbEz5Y5MnJcEicmQUumuiOMRYNxkVE4jzxAT8f85jH3G2BAC47Mj8+Cj7sx2798ccfn9DI+Sl2/+mhefCXPtEb9vDZz3424Rv9s4MnGNE7+rt6hv8XXHBBXpzCnYzoJ93Ffzi0F7zgeOkjOYEDhjnIEUx8KvbZHI8ewWCjjTZKy5cvz0foyAtfwOQD0EkX0Y1PdIevAP+cc87Jx57YMh5484Fedgcf9DuegKe/+MUvckLPjujdcccdl9g5+tnOmjVrEr+AVwIQ3WjiWu7xXkB65CMfmeg1vqMXH/g3bXycQAc230UnzYc/7AEv99prr+yPtNOPAn+SV7xEF/nxJ2Tu2e43XWCfeOmeHtFJPo6fMQZ/b7vttsQHfu5zn8vHJ/Edn/ATLeRLR9iXgtfmQJN5wGWXFmz8snY7evhLxuQEJl28884787FHcgGTr5Ys4gle0ieyljSpm2QBnywuvfTShDY04Bde8CdkDBd488lwoXNo9KYCHWyOnRnHp0m60IV3fDTdNRZsMFevXp34B37KTqax+I5G9kKn4EKvxUayAoOc1szoqzfdeAt3eHXiBxtjO3STXvI/f/u3f5vIBxxjyaXQaS42Yn70eiZv+kPebAVNZARPNNhBZ1PqxCx+gw1qYx/smB2qw2N6id5TTz01FR0zXyf81bEl+LN/+oif3jrQ36JDYBf+iw8FTzxld3wrPwcPNq4/ufFzYOoHLv+ljm8Vu9FKX23mgM+X0U1ywjf9wKYP4IKjj00K83WTC9z15Y/pED7jB7zYgznpj3nNp4+Yw47oIr7iL5zhwWfC27zgkic54l+vYpy4DR4dFmPZAJma0xziCb3rBYds7nnPeyZ+0T19x1/0y7/oEn9JF/l0feDLTtDAZixy+Av+kl7Qd3EeHvSUbPgEdDXxZhv8CjviQ9gEfYU7fpinF+6LtW2qST2mES4DoKgYTegSe7sHhMTYKQXjFfQEZ0KmwJRKG2Wj7JwRYVPGZz/72Xl3zCqW8DgLSi0JI2T3YJmPQlBOfTkqxrds2bKcAApIjJhymIMD085BSerrlUXLAAAQAElEQVQolfk55UIP5wQuPBkDAwRHMmF+jo6R2snVznD01wdd6OaAJOecO+fCUa5YsSKhV1/zG6e/HQMGYbxdBLuCVth2wSQ+8JpUiRj8jL3AYafWri+nw4g5csFXEJGkRrSOpHC2jJAu2EESnBirZIhzQjP+G48+shIswMVXxu75wQ9+cOIgyIhjwGfzwkOiLIkCS2CkFwodLPxxT5ZkRt84ZfOCDSd856zpY3FAdAe/7X6RFx3hRDjhj33sY/n1tucyB77YtaLznDi9BVO7wGoxoA2OG8+8wdJuLnyBHx7QO/fGoEtxr45OwUmAFnAEeTZBH+kRfqJH0ga2hBT+Fhd06WlPe1rWMzihh27RNTaEF652yOGDV+ZtL/CAIxsrMhJEyYOdsxEBAi5k3j4+IhIfYIcU3nQBrkXfzR/R0h14mgeuggeesld92I6AQG5kTUboAc8YQYWe2FVmmxYRnL8xcCXL5z73uTnZEQzA65Vo0OsXvvCF+Q0SOIKoBAM/0GgsO+VT7F6St6BP3+DLfi3c0EH3jZlUgQNe0wlJ4Qte8IK8+4y/7ElAxDe6h0f0iOwEYXTgHx8kmccvcsSjElw9u6d33kpYlK1cuTLvaJqDzoFroc+Gvdmg6/yxeekVW5UA0l+LZ0kafrFnfpqePuIRj8i7iOhR2Am+up8Ur8ABjw7TeT4Dz9DAhuia5IyPIGc8YiP6PPOZz0x0Ch1iFJ7w6WCSOz8CX8m0pEX8oG+SFbZHX9ThiTr+DM3mM44Omov9kRl8zCOuSE433XTTvOFgvn6F3NkAmYo5dJLP4Y/pOx9tFxRcMRMv8IB8yJhfIT9+AL768fdsd8VMvCJrPGRr/BZ9wDu6BTe6wndZxLMBPOOrtdNTfkK/XgUNhb94K46ApUiKyYLe0S8LLptSCv+Mbn0kxmKHxavkEY18Dfqf97znJVe8JgO+Q15CV8EkQzqAJ/yMhB8c/hU/8IH/F6PU01e61YkmuY+8wts9/NUXfvTDPfnzm/jOvtSzEfOyRQk4vUIXefCNdMg9ufAt9KnT3M06tJIX+GIgP4hGfoDPpjPocd+NlgIvovX21UYYWdAhePHT+MkHiEERkb8wBa76oV8fOsFv4S/66A98xFALO/agHk/4Gbahnq9nF8azEf0233zz7DvwjIzxs+C5VK5TT+oxksAoCaF4hfeOd7wjr+wEWKs4u5kCuuSNMnD2FPMZz3hG4sAoFSfAgBi3cV75MCbGzKkIOBSFUXFCFESCLMFi4BwXI6HMlMF4RmBOCVVE5A+WUAwOQFInwAjgHBVDQktEK+mlVJwN2BwCxyWISVLgLtlGq0SCY4uIZIz6l7zkJTkpQLNgkmb+Ch84OYqOTsotiDBUvBCkOQV0SRbwCZ4zwyf6D554TC69AEdETg4ZJ75zhmRAhniND8bjOVoZIN5ygObQxnAFCDRLMNBpMYSnkh6yNJYxuycLzuOpT31q3uHmcOkARylggUMXyPTpT3960te9uZSIyK/wIsJjvndDx1wjItcZYz74ckh0QUJHHmS+atWqRKfgyPlJlNAJBnxKG4cj0AhAaCLnF73oRUli8MpXvjKRIwdGF9EpQUATJ0aHIyIfvYkIoDNu9Betr3jFKxKcOHx94cVR47u56KygK2nFNzJVL7GkNwItfaW3Ejo2KnizM0HNeLLJE7f9hz9wJ0d2ABaY7MB8dJbegwl22/D8CA9zGyOw4C050wm6nTvN/MdGBS76xQ+QFZ+iH/uUoBiHh/SOjaHTvHRNkCFLCxq44YkxdubJimy1sX146DszbePfulu4moMNm8PbPgGWzuslYSMPMMCll+7hV+SCNjZMr4yZVBHA8EowwwPz40lE5ONf5uMr8Q4d5rUAJ0sLPvKkR/iAP3ijDb30DSx+CT30Dg10kY8jf/Lmb/XDG0kpW/ZMZngkUaLbkmS6xscUnOEEDzoHl4jIR6/oLnvTF86TKhGRbQuOaCrygbs5+Q86JLGBN19gsSIBf/7zn5+PW+EB2iWqkkNJDD9Hl/EDTHSCKZEDD2+1sw06LbEyjm/QTp8sDsxJpvgmueTbyETskqCy94iWX+jGE/DEXXHFgmLXXXdNYogEH13kyFbRYQ62wsYs0Pkl/pgu8R0RkZMytOivjuwtViWkEZHgRe5g8Il8Gh7AG03mQDu80IW+briXeuPRzHb5C7EGT9XjPd2kH/pLGPEN7+kiHpMHm3TPR8O18Jjc6De58l/w5NP1Yy/uzUPm4jl9p6/8LJ8OJv7oxxfiDTgRneVCZvor5sQ7NkbnbVTyaWTAB5tDG7uAM9xsBtBL/CdXfEQbuyULsRjMiM7z45ECLtmj0Vi2pYArZqKX/PkL/XuViFZOBH92Lo7zo2SEX+YxHxjwZf/yBPqnHq/J0SYl32SxxWewB7ynT+gXZ9AKL/5ajKUT+pAFvtM/PAJb/kTHzLuUytST+ojIHySkrIyPM2SYhEgIDIQDYBQMgiFSLPecoHGUjUAZIkXRV8LhSuEJjqMAj0Bf9rKX5TOcDNZYzgccwZQxCRiKZwplHFjmpjBgUQI4MhIGp4+6iFYgAFd/4+DKWJtzgF3m0A++xlBwOyWMRn+BQkBhPJJRcMBj0BRTvTrBjrHBQYmIfD41TemPg8I3c/eaAm2CAvoEAsmgsWhzNZahoocDVE8P3vSmNyXJlYAq8SFH9OIzeYKL/2AIDGTCIeCN/lb/+Mb5gc/hkTc8BE1tnBvjj7i7gyMHuiVwky3n4eoZbDIVbOimHUs6oJ4DpC94woFyKhy9RAdtHA96ORmwtttuu/TqV7866z98OHH4u5rPvJwffARajomjNgfH6B79aAO3FHzh9PAdDLgq8IqIfHxHH3YELh6YlwONiLV6g9foIAN8Y2P0DO4Cp50hQZijTm1/YMEbr/DFvWIeQVLCDj6Y6Gkbnh/JnBPGR47ebi18OHFtOpkbb9kle9J3iy22yJ8dgLfFnTklongAB/wvV3yXOLmqRx95SqIkHeCjnV7Sd33pk7m7FXTRP58RAsdrZHaMTnpObuhGAx0EGw30IyIy//EvTfgP3mxIAocn6IIruk0VEXnuNPMXEXmTIaJlG/gjaUwzfwIx/MiWTtEhdKjHY3RqVyIiJ970rTzT2YjI8N1rg0ua+cNz/AGTP9thhx0SfRMD4ErXyU7/iEh0y7xsBj9nQEz0H97wyfyN+eFa7IYuaud34I238IEfX8OuxBPjyVh/vstCkl1KON7+9rcn8Q4c/NW2fPnyhE485T/A9zbHwk+CZbGJb/RULONDPNMhMsEb10H4YR685mt9tscVDXwbPYmIvEttgwwPzA8nONr99KZCglzmhEdEZD0ib3TRNbwz3nxsFHw2TSfJj53AH7/w41WvelX2jfSLDaYef+Dyd2zXJoRnOkgO4iy+8w14jyZ8w/vtt98+b3qIH+YVd17/+tdn3yGP0N84NMADX/AUXPSod48X5AsH87FjfOC7+CV+2xx4+PCHPzzrbETLrtrJioi8MdPkHf6REX3gN8DiA/Fxm222SXafzUvPSj86igd4J0HGX7iW0j5v+3NE5M//6I8W8qX75sBn/tsYc7j2K/gmRq5cuTLxhXwinyJGoTUiMgj6wA7wl5ze8IY3JPQZ6xl99J8egmks2ZEFAOISPaID+tIlOsc22ZH+8iv2oZ9NCzwydqmUZdMkFDMZgCvFpbSUkUAIwI4SATMoAZpyETploEylRLQUgtJJchkSoQsw4BtHiATLqN3rp4+5wXEttDaf3SvaXOHpKsGGmwRRYsNo9FHA0qcUz4pn7Yp7dc2iruDsCm/GKymUxLnnOChzKWjyatPOlp2OQhP+oRG/zDeNwkAYFPm0w0cX3iuctiAnseIsBTT4o1E7OGTCaaJHHXjkzPAEDYZoLq9kJfB2PPUzj7EMlxys1CUADF/biplXwJ7xQn9z0BNOQwCVZJmrWfThqDlKVzJ35dCMBZdjsusj+ec8JCLmMYbcBHn94AVvzpGOqCcTPLNTKhkhdwFAUIFHRGvHSwKJB2hAI1zhZg71ZA1OREv/y1jzgmk+uLArY/C5tGkvRV1E5GBCJoIZ+Or1cQUb/wRj+Egk8MUijcyM06dZjFPAUNwr5V5fMF2bRR/w8Ane3lqgRXB0r844fVzhwWewe3V8CJ1RvDK2iyfBskCyyCvzm8c48hEM2DQes2v15idXtmQMWeIlnjbxLfdwMUZfcpFgWLgJHPyEdjoEX/PQbXV0EU3mJCOBmwzQUmBP4go+HwKW3UrJgXnIWh26FHahnq+EC/9DzvrQV3zAE21oVfBSu3vFPfzJTUGnOm2lgKHes/EK3vANdIquszv8wxcy4j/wWAHfVR278myOSRd4KfBsFvOoV8gbH71ZJVf44zEayxj96JpnPJWISJb4brpN1/gSNOvLn7iX4FrkS874PjD4P3RLOvEQf8jDGL4OX9SbH57tBXx4qOfTxBVzRUQ+nkBP6SgdAUtfNMKZbnjrQL/pBb/L1powIyJ/YFFffgouivlsrKHbW0d1fCi5kzf66At/R/8GlSn89MUTOirmmEu9QqfgD0f8pufmNqdCZvDUDxx0wqPEVDzAS7DAcG0WdUqZkzzgIG9hLxZC3t6p06dXiYgEN/go+poLzmRf8DWfeeAJZ30U9WWMe7wkSzaCBkV/bfp1K9rBay/qjXHV5r5XMRd68NRpAvizDfLADzC064dGOs1fwpNO4j3cxR7PYMiH6J024+Gi8KN01ptbtsDOXOkb+wJTP3LGS/UR0Qv9Rdc21aSeoCQuDFmSxBESEC5iPGVlbHYovA7UT6IvMFNSr6HU68PhSzasmO0I+0CE15aUQ7vVOoVxTtC5aq9ezK2NsD2b37OEkDIwfsUzxTCHAMwJwderdefmBEH4whv+cDOvJNbbA1fP5gDPfBIH9JhH0c6A1Ts7yoFTYLsn5jSGoqqHi/4CNIdx5JFHJucItVFShTPCN44RXtMqEZEEBUlrRMs4GBrZMjqy4vDtKkiIyMcqn4GiWyLmXiJml4h80eJcHL55xjeLAjsEztdqk4ChFw85BIkbvpOJs5JkJVBZ5evjmIszp5I7sBi3nSY77cZ34w/Dp1eCXETkb5SANxzNQ8d8DsMH3MxjZwCN+A9PerJq1ap8dhktPvSkH1zphgVZRORvwJHYwwM++Ee/BUB8owNwELjpaHnmGI1RIlrHnQQ2wdbONr30Opbu0z02hXdkAw9F4OXkwEKbHXi8lThwnvSfvrEXOkivIiIVvCJacodDKWiAJzrI0Tiw4eaeU8eDoh/wNNaVruOfNv3s0tAfwdqCkJ3CG2/Jme54s4W+Aw88MOGx8RJ6Z0DpDd1Ci0WhKxuid/TPWAGFb/BBN3NKosxrDsed8EwAsqhgc3AtBc4SKX0tKvGOT4CX3XrFWP0FHfqnne7RH7ro6AN7Z9Pohj9ZGTOpIpjiIV8o+UQrX0n+5pBY51G2RAAAEABJREFUKZItuoPP+ItHCjvEB/VopQfq6QcZ478iqOKRJBc/7MjiKXnTaTDwHp1g8Xn0hEz4LryHHx9OFyUueEYvnOtWZ05jJcPOHNvJphPomGSxoGArcEc/2ZrH3OrhDHf+T0KOVjrIT9F1/MMTY+gIP8U/8PHocxUztOEJf6A/frFh8uHD+S1z4A9esGe8OPTQQxOeaqevcCRXvseceE2+dLTwxXzwJkNziaHkyAb0kXyxCXia33EHtsv26A/7RT8/zmcYgz/4AG9+A57mp+PmMR9e0AlJmx1aOiJ2SHzBsnFjrC+TQBvcmnibp73AlZ3xpeydTvGZfCV9MSec+CP4a3MmHe+dv8dT/ISfr8i1g+zerjAYfIlCj8Ep8OCGLrpLbvQRjxR0833q2QUe8jlkQ3/60SQJJ3O6gNfwMY84yn+sXLkyf2bDV0LzTfSQfyYTeJgffq7koj/6fd6Q/8MjstKuvp2nnukI/OkF2GwdbM9gu1fvno0Y017AQAc95s/0lTuRM/mTBxnhCZ/hKnfgC9mOmOoDw/DFB7ZFJo6nwt2xVrTjK1zIRgwVs/kEn0nEe3mAN6f4wy7kAvwxvvB37Xgv9uepJvUEiLlehRF2U9kFIGeo7F4yfA5GYOc4OTCvZjl7AvCKnTAFKwHU633OAWznuARKu6KOdHAeHCKnpR18iRjl1k8S7crYOWBtDElSQBE5Nef4JWocCliCEEOEi6KOEnEWlIYSO3uo3m4ZfOGKXnjry9FFtL5aj4Kj2VEkiscR2RkBm1IbzyDgbseU0sKFU9duLvecZuGRsdMq6JKQ4FmZA51kBh94oNMZbwarH77gjx0MOBovAcdvCStHTVYMFByyIAO6ArYx6smRvMiDsRsHH/ylJ3ZHwORgJMQvfelL89foRUT+kRU6WHDudCUXvKQr5iQzsAQzc4MpIAticCUrOrRixYokKUMDuslT0NSfrgm0nDQ9xweFDOGgXaJnbnZhLjyRnNM/z/iGpxHrEmp001Gw8EgApfd4LmmX3Dqagv/4w4bco8nc4LMxPDEvnYNzmZvtGUd2YNN7PMd/88G9FDDBodvsGM7wIj+00Qv3bKt9LPrpNPnhlz6vec1rklfj7AyddgnpA1zAlmyDB1dyIjM0mxMt9INcwCIX8MFwJTN6og3O+Erf6Ap+8iVky+7BIrNCZ7nCGS8tdOigenjADe5g0QG4s0+8joh8TIEs4UKf6QoeoyNinWzTBP4iIt3jHvdIcKG7+ADvQo957YKhlT6wG4X/ogvkDC9+B1/pIp7DG+34iBZ81Ebv2EFEJHxDN3mSizZ98AhM8sFz8qBT5sArvgNMdT4fQa/grI7+0SX+UkIggZkAm+4GAn7ohh9dY0Nwo7/wRgcbgzd/TY5sQ19xCN1wZcv8Br2ka+wCfXSCzdFfvp69oQvfJZZ4CZ7El/7STe1kiH/4KRbo7+tzwaWv9A5ceKKhSRQemsd4dMFJu3pX9ohO9sbvWYB61pfeGIcWPu+Nb3xjUodetOMFnNGMT+yJPuGTcRGt4398z5vf/Ob8uQN8oD/G+xwRG6d/9In8I7rbAfpe/vKXJ3PiBTzxAN70Fh76oI0umhOOdJDe8ml0i96ThfnwwzhwwbHZph+4cKMP2tWxd7Lj5/Gcr+Mz4C/RZFv4Kcm3gFfoLHzwulMhXzGeHzGXHMZc4EREtl/8Q4O4iS66Qt764yfeodP85EB34I5H+vKd+nWav9SZD51wMZdxYNEnfAGTbNljGdO8olEBh1zMT0/YsTiEz/BjI+q0eTYff4M28OgN/uIBGeAPG0IrPQa3yACO5AmmseyObbBNY+kynOCOR+bTbymVZdMkliOUyPlwzlve8pb8iX0KY06KIMhstdVW6b3vfW/y4VnnK9/5znemrbfeOu200075Q44EpU7CTugUYscdd0w777xzLh/4wAcSg+X4zPXRj340vec970kCDMUG17lGykrwH/7wh5PAqk09WByoORRGS6m0ffzjH0+ujKooB/wpIRzf9a53JXNyJO4F8pUrVyYwOUyKR7nBZTycJKdNYSm5/uBRaPDe//73r6XdWTNGzPHAA3w0cCacgNf+q2Z2iIth4Ok0CwdhLo4NL/Db909z0mgqTpshMV4OHO8VQYFD5YQLr/BNkJc0WKgxYInE+973vgQmx+m1NP0wnoPAU7xwVpJDw0+Om25JrPDMvJwlp2S8RRHcu/GGHnJorvroy0G9+93vTp/+9Kfzj2u50jM060dH6BDZKOgXdDge+iJZFWjQQ88Ef+PAV8icMxIIOaxSR75kiid0mkPVVopx+CDQotd5WzpkbsHnda97Xdp9991zUMC3j3zkIwk/yCwiEthsTZuy84wNsSd40C82xtnSWXSRi+DSxL3gos6cvsuf3eIH2sGkt+CQJRnAL6IVuCMi/3YFXN/2trclcqY75IlfZIEP4OA5ntIdvoKcd9ttt0T+8ObczYm/7I7P2HbbbfMHmNk6GbJteKLHNxV98IMfzO34LhiASa/wkqwKfc1rRORzx/hHn9kvmshDAV8QIXPj6A/68BNceLId8sRTOPJPcNB/0gX/+SC0moedSNLYGHzU45vzumSnD53Cb3X8FV7SETqEFjpC1njKJ7M79fQGTHw0Dk/5J/Izng8kK+PwwzM5m5ev9v314gQb0t84c/t9CL6CXNkb2RT+TpJf7JAfMyfZ4AvekfWmm26aYwy/Qqb4Cj/xDO30Thva9OX3yJTNsTM0sFO6gi/6oZv8zYc+fGdv9BXf6D97EB/EKvxXz6fhA91nV3A0B7ujWxEt+8IbPox8wMVjsoE/v61dMYc58RwtaOe7LS7oK7z4IPIBi++j+2QMDzSihe2wUbSxdb7GPOQJb77QfIq4SQf4KPGL7eurrVtBGxrRAEdxAy50hm8nD/4SPfwEXRNH6TibNx7t6BE7zEunyISP+tCHPpTQAQ4a6Dl99owvYpE+5gUb/fwWW7JLLa7TATjSbQlltyS40Ehv0MOeyIie0EE0RUReCMkH6JkrvSMLOoMmcjKWrfKLK1asSHgPf3rBjumYPIYulHmbV/Ubb7xxzrvYMH2jWwpfbB5w2AEeNseWezD4NP4QT+gE/afrfIRxYMEFjWggI3SSHXnI1cQw8+CFnIA/NQav6YhxaCd/sqRXcCNjbXIivGdP+rA5PDN/wXUpXaea1At4djsYnBUyJWgy1zNHSNCUgUNQ9PXMwTF6QUmd/uo4OEbpKnkjVG36qAdPvzLWePf6gQsnz+oV9a6KegkLvAQRdWC3420ubWCV++ac6sDRrtiNiYj8ASnw4KE/uOWZEqo3tytcwGE4haaIyF/piE/g4jEYs1HMBRdzw9n8ivuIyB8QQnNE5A+H4o+izlhXdBU6PeMB/jfbwUS7K/o5Sbvens2PF9ojIn8Yj36RO7zUg6Xgo7lSn7+IdQFRV/TAE7xSPKvXbg714MNPveKezsBTOwevHp3GleKZ7sJNe6k3jsOzeEWPfqWtXNXBRbv58Q+t4BiPF/gJF/3gGtGiTz281Jd24xVyUueqDzrgp63M3X41bxljbmPBNqe53KvXrzm24Kq/vhGRz/mWe1djFfNHRJYzvCRhaFRvDjDwpIzx7L60uZpPvbF4pj0isr56RmuBmbr8RazTaTCbNIEPV1fDXT2TMX3VPyLyrr17c7pGtOSSJvyHN+aFAzwl9Ha82JE6iZt2OoSn+uMPeXtW2Jg6fCFDPCNr490XGvVFizb9tYGnnzr9ms9FVniA7/rAUT/j+XN4aQMb3uxIMJdITZhVWSbogy864KDAWVEPR/ihDd5w1ActZay+EZE/t6If/qFBO/rALvwFExz0KfRE0TeiBcOcxoNjLBjggkGPi/yM0dbOF/hqIz+wPDf7RLT0GRwFTujRz715zI9OdYp7BR7ohbu+7tWbL6KFvzrtcC/zgqE//LWBExGlueMVbfCHI5zcg6OYDzxzRUSWpXu8xU84GY8u/dThp3nVg6UOnXDSZjyc9QdfKffawFQnntNNR5scH3F0R7vkUntEd7oKPmSjb7miKc38aVcHr8InOJW5tcNdMUZxjwa2gya8QucMuK7/wAFTKfDdq4cXutGEV92AaDPW/OaLaPlV99rAAhMs/dQ18S08N4859ddujOLZOPeu2lzpAzrdR0SOH3jGt+EZeBHdZdCNnsVQv2wxEDHfaWD8VvV2nK2enT0TYOc73p3wi4h8xp7hRHQ0mk7Dxq7zitRrZ7wcG9gsAPBa2kJklKk4Kg5ulLF1TOUADkiE6Z9A5+0Oe2VD2hZSkdjYPbXzJnFYSLhXXBcnBySsdpTt4HtLIOGkp+69tZC4Lk7KK1ULgQM1qZ8FKUnSOAGv2LzG82rSCnQWpp7KFFbLVtgShqlM0AWopERiL2Hu0mVeVNsZdaZ+lIVbROSjHng8L4ipSCxIDkgs2KhX215rO0Yl8ZhfxPTHBh123ZSI2dtE6I9Z7bGUOWDTxTEgR0EcVXGUR1xXv5T5Ummfew7UpH4WZCAwSYDL6zEr+4iFHaAknV7xedU5CyxcO4UP//nk/HxO7H1Qyodr7ZauRXzAGzuqFoEDdq/dKge6csDGARt1XMTVDmPXzrWhcqByYGAOREQ+Ymrh7MiL4yDVbw/MvuE71hEDc2DZwD1rx8qBNg5YrEgWJKIRs7dIKYn9KDvhbSRM/FEi79jDKLhJugSHiNnj5cQZUAFWDlQOVA5UDlQOVA7MCQdmLamX7DQTHUcU1LVTrU6b0t6mTmmv96y+CV9dr2Ie/V3b+6kDT2lvU6e9vd6zeu3l3vlvdZ4Xa4mIfMbeeVe0thc8VtRPkgcSe0dx8HgMuBMdikYJvWNCwwL25kNCP+y42n9uOUDm3hrR8UliAi7dBtv9JGFXWJUD43Cg6GWJdYPC0p8+uyrlflz9Nh5Ow9igMXBQ3Bca3Cvt9aV9Lq/wQie+uZ9LXOrc85cDs5bUS3T8sAFjoZi+T1Sd5yZ7tPlQqdJso8TGSJrajdcYP5AgyWtva8Ju3hvj+48lh8159HF8wlxgem4WRz8crWifB37GadcGvh93AL85frHeoxetvhUAH1wVMvfjGuomTTv9IXNObtKwR4GHXno77NiISOXbAYYdW/vPHQeKzfuhFj/2wgYmhQ1d4j/AZleTglvhjMqBOg4HxEo+3be9+NyQukEKW+GrfVuMqxgKht8eGNdu4OHHiuAFv374iM9syjh4sLUyTiwRV9RPI2b1w61XO7z8wBKf4Pvoe/WtbUuXA7OS1Evq/IKgwMdY/Kqb7/72Hbqnn3560k4EjNIvgvlVNL8UecUVVyQGJ8H2K3H77LNP/h5uvwzJITBESZRfmvMrhH5lzC/4+VEI8LoV85xwwgnpU5/6VPK918ZxNPr7xTgw/JIbHK688sr8I0Ng+vUzeH/iE59I8BZ0jYEDXP2KnV8aRCPHAW/j/eqcfoutcIB+bMOvAyWTwd8AABAASURBVF5++eX5lw/Jz7NfgrRo8mtwCifKsbuO68SbfATPQgouzfrZvhcAyJtODju3DwE6wuQ407Bja/+544ANBr+myJf4RUY6MAlsBGy/FMpPsif+ZRJwJwWDjvPLk6J3UnhVONPngG9uE4v9ereEnE/vN6s+fDRdPvHEE5N4KBeQE/jVVj68H4xe7WK3X4T1q6bibq++2iTH+h900EFpzz33TH6tVh08/YiUXy9m035hexB4YE67sDe/uupXzv1Srhxj2nNW+CNyYI6HTT2pv+OOO9I111yTJNKOaNxyyy1JsieRsbrmHARERqXfJZdckj+AIkE6++yzkyT7tttuWzueAUu2r7766iSoMmTPAiGYknu/Ptgt4Jjn1ltvTeD7kAunIqmHF0PhaCSqYEnkGbgFhDFo8SFXixCOjTMQ4MgQTRJZtMDFh9R8MBbdN910U+LEOA19F0Oxy8ExWoDZPXB0BL0+EIw/+OpIiW/c8EEizhEfFXLDi1Lwo3nvuZRS37y2t5GpoFEWC82+7kt/V8+leJ5EQZvEq5vO9ZpDIu9zCfSlV7/aNj84UHTHlexgJQHnG+ifenWleG4W9c3ncq++Weg0v8de+BNtpW+5dqrjj7R3autUr5+irZT25/Z6Ppnf5Yu16d8s6kop9eW5XNWX+3JVV0qpc1Xn2izqaunOgSav3OvpqjTvPSvq+hX96Ly4ffPNNycxoIzRppRnV8+K+4jIcV8s5Kv5O7/HIQaLE/q1F+NKabaVunL1jTN+w0CsiYjU7FvuS1/XMp8db/FLnC92ExFJ7GLPcoCI1uebChxXMFzbi/pSmm3qms/t9+3tnpVmP8/yE/5AEWua7e71qaVyYKpJvWRHwLOT7sdD/HIqZfQrj34RzC+GWYFKqCW9VqKSI7/O5lcHKe8NN9yQk3ffAWuMX4RjbHZ/GaPEWhLpF8n0kUT7MQhwOokXTpyAXzTzi31+hUxf4+y8m4/j8qtyfpIY/uDZCTYGDn4NTmIq6HIGHJMfnWj+eh6n5YeEfJWlV47wBKMTTguxjry8rZDQ+x5pv+zm6738sp1fmPOrcL4NQKIvqcdbbz/s6OOFpABfLIYkLZyoXSCBAk85KUmSOn1LoRMWZJIewQUsThg+kgw8dqUfZElG4CiCCVlaeIFD98blPTzpwii7TRGRJPT0cQA8apc55gDdpI/0ij7SqUc+8pFZhvSRbqmnZ/RCnQSYXyv16vg7emnzASy+h84rxkqY6LgNhIhWksJvgqU/n0THi66DA556C21j6SNc6Tn7gIOrI4WSGckVmzEnOuxQwh9u/CHf6p596wt/Y/W78MIL0znnnJPfzOnbFAv/agdXf3TgGTtj/+zOHNoL7p7hZtOEHwDLPHwDGPrCj59g0+hDK/r0rWV9DpAp2dIHMsA7CSEee+av6BK+46e+60NZV0OXycRY+ukD/eJbRCTypm900M62edSROf2jO6429CTx3kiCLLFesWJFEhvoCNj60VFj6Bk4+tJ9berZStETbWgVZyT1Yo35waIj9Ad9dFk//RV2Jb/wNZQ2ofCDPkZEAttXVcolxPSISGDCCzy8xAu8FH/QTK/ZCXzxqtg4faW/xrNDsUpfxT162CIbQi9Y6EMvnScXMjS3Z/kTHqLBM9jaydH8xmmrZWlzYKpJPQfAECjn/e9//8SABEHG7AyxpPe+971vYuiSOsblF8EYnbJ8+fJkPMP3HbDq3EuetYHPsBgz2JJ97RSco+kkWjD8ABR89De/BBQ+YDFIXwHHCYEpYQdPn4KDduN9naMFgHlcOTv3zcJBCMCMrxtOzf4L4Z7zspDytsSiBW84abjj45Oe9KT0jGc8I78NcZTJ2w9O7brrrkt4yUF7FeuoEufLkXJo3nRwTByjQhYcFufIAXqjctlll+W3NqU/uFdeeWUCm/NW740PZ+6NywUXXJAkQpzl9ddfn/UJTLjTHziPU+isAt9h4eAVHRt2XO0/+xyg83TKm0T6RHcdvYGJhEASasHq9Tgd5c/omX7letVVV2XdtRj2BlA//dmCAM2m2Aq9FcjpLL1iH5Jf87GDSy+9NMGD7nt2LNCC2VxHH310uvbaaxMbk3yXIzzazGks3feGVJ2Eis3ws+YwBh3s6eSTT07efJrrjDPOSOiQfKBf4gRnNooHikTbQsBYfeCEZ+yu2OjFF1+czMvXsnfz3njjjRlnyRL46tj8mjVrMp3uwYSfZAj+kitz1rI+B/74xz8mvhCvyY8ekRVZ4DXdKrzXB7/p2fqQWjV0hE6SAVnQU36aTdBz8qCH9EaxgCN/suKLzUF2ElFx0pW9eNsNH3ixAzrGJuyeG0Mf+Fb6Q9/gzHbomLlhBw+wxAb25f6kk05KYNF1x33Ut/t6ftemnVyAnqEJXmxHXC8JPX1Ei/nR6WgpWvH11FNPTeZAB3zxWa4DT/3xTB/2pQ4PXOHG/tg9OGIgewULrnRbsm+hJG8oMZR94R+6yVd/7Y7+6mOh1kuOxtWy+Dkw1aS+JHCSdgmM1b2k2rUEQr92uPHGG+fVsAAhmY6IfASH4VnFShgl4MTB+CwGnvCEJ+RVNWO106mPwiApvwSaU2gv2iTf+sKBQZlfkm6MAApeRCQ7AHCHF5wVzoShcwYbbbRRKkYW0XpNB8dmQQ94nB9DbLYt1Hs8wgP8sggj20ILflj0lB0Fzkpfr0YtuLyxsRAgA4GdA+OY7eyQiUWUK+eE1471GIP3nKa+5MHRG+NHdThjiYJgwilyzHSEYxaEOFaByxsjOzYWIeZ3X/Ae5SrY0c9R4NALtEZ01ptR8KljpsMBukjGgrOgTbfptQRcGz2lk/SKjkqMJTQSDDppE4MvFHzZjiRBO/9GhzxLVCRNAr2NgJUrVyY6giIJGZh811Of+tTEFui7/uwHHsaDZx6Jg3klFhYCbOae97xn3lmXfPCR8ACDDUvaLRD0QaPETFLBjsBgg+CCxY5thMCRD7ShAkeFjwPT3GzWHOBK3MxjN1Wfiy66KElYwDeO7y32KAk0Dx+AN+wZPhIqvOarIyKRh7G1rM8BvOP/6CX54SNfSX/IRcyjm/w0XVgfwt1r+Gm6y189+clPTuRIFhJusqU/dJKfl5DzzfqrE9/FYHoAnwKZ37RIpA/0mw2AtcEGG+Q38xJWtkaXLEzNJXewSSM5Rg9Y9MB4+iSppWfsgt/Xn31YNIADZ2OUiEj0+PnPf37CI/oODrvGk0KjBN6CAU/ZkYRcf/jSX/XyCM9sx7wWs+aCm0UA2wTz0Y9+dNIfLnILOq8/nNEtP0AHuvkBiy+bl3Cy2LE5CCbY8h5jbXCKuewGDdrRV8vS5cCyYUgfti/D9eqJM6B4xke0HDJjE3zs3D/ucY/LgUqfpuHrzzAZAkUGj+EIAs985jNz0OM4JHXa9S+FgTP+9sJQOASGyIi0exXH2TEy48FzLTAZHBzUMSxG+vjHPz495jGPUdWzRETGkxGiuWfnBdLIcQgQrmQWcffEVJ1E3+vCFTOvWIsDw1+8lDzYycdfybZXmWT7iEc8Yu0iCQx685SnPCUZY9fDOE5YkDJGEsXpSS44ZMFKEiAAGGsnhuMWLDhKAeSQQw5JAowx4I3KcvSTKR4MCwMf4Ed3hx1b+88+ByIikRld5KvokcBM52BD1/mj17zmNem1r31tPpIgCeYjvLXS32YEvZUMS7ie/vSnJ8cQJUn0QEIkoFsUbLLJJsnCQd+IyF8kIIBbFEuSJLYSZjjoB95znvOc5AicxIH/kuBLuNmU43HmMY7NOFqADskEnwS2xEeixyZsVvC7fKKjdGzOvJIzdskeLTgUfMEDBZ12PfVlezvuuGN68YtfnCy8+Vg+F1/YJ/txf9hhh+W3CuZkExIyPhlOaGS/6JHY2BHl11euXJmPbZizlvU5EBGJHMUnMpLwkTOei7diGT7bJZYU4n3E3X14gcpHkwUZkAWddKUf5G1xSmcluhGt44RitPH8P7vYeuut06pVq/JGnXo6AwZ5gw8mXdXnjW98Y7LpQ1fgzC4sEvhwNgR/49ECFjzov/HsED0ScrDons0/c8hD9G8W9uTIKHjii2IBazybpH/0zvySezDA08dYMYwNs1c2IZ+wACr9xTR2J0aRBZiScxuFjveahz2JIdpsXLpnl+Ki/AgvC402DtASEQlv2TE+4QtZ4In2Jo31fulxYKpJPWNRmok6peWYvY5lDByKFTAjsZqVfOnDoATBDTfcMCd16u1W2SkSkDgZxiHBF1zBUMeQ9GEkjKC9SOgVyb0P2HI6K1asyN+yI+AJhhJ3OOsHBw6II2Q4diUEUrvADAqe/dQmItZ+eKdf34XQLknHK86KM8d/MoO7q+DPMXEw+MbhcUwRLT5wZBy5IjGx00h2dv3BUCIiRbQ+XGXXBwwOmDMjU3Nw+mBx6IIXp6ZNPQcLF7tR4Alyfs6bI7YL5EPY+mgbtphHQk9Hhh0LX8EMD4cdu4D6LypU6TFfILBLkMiQ3ypBuEmsgM+P0Q2vxu0wu+cvSv+IWDuEfXhgL/wOf2Iuc6p39axeu3v+zTx8nj7wcY2ItYmTZ/UR62zOs3rFPfugx2CiR6IhAZPEs+2CW0TkHUa4pLv+3Buv3FWV4MOmLK7ZSLFJO4h2HvHBYhpc/kNCJOmxE+o4AvokTsaJDVtuuWVeJG266abJ55nEgmOOOSaf55fslXnrtTMHLKzELv7OglHCSwclxptttlniQx3dshFCv/hgMa0JjZwl7fRTm+fSzteCwZ+98IUvTFtttVV6wxvekN9wSzT5YTCNIfsyrlwjWnYQ0bqWevohfsOJThj7xCc+MVk0b7/99kn8pyOlvyt9jmjBiWhd1cs/ItY9qyvFPOxIDiCJll+ISStm8oGISOhDt9i1amZR8vrXvz69/e1vT47hikcFDlzNrz97Mqc4s8UWW6Rtt902WeSKkY4CyVnovRwCXXiDR+zIs6schk0apy++WlzLkSIiv6Wi/3wL27L4FjuNBa/gVa9LkwPLpkm2RIrRcNQUjvJyEM5/MRbBj3LamYmIJAGTROsjOBhjp8nODsevr6Sb4dghoPgUWjDRJukWTARQK2rG314YJIdjxcwAwJNYgudegshRwYEhRkRi5BYVzurBm5FrF+Rd4QkXc7tyRmDjrat6Yxi0uoVeODGLKUk2Z+jVIx5ywORgZ8cOA7oVwUASiwdkiYecoN27iEj6StabjhLf8FFA4rjsMpqTHMgHL+2KcICKXRo7NgIZPdNmJ1BgAZsDh5sP8tpxlXjAd1hZwIn+oWnYsfpLlvDBfS0LgwPsmx6xd1cBlH4K4kWH3NNDdiBgS7zZBp2jlyjl2/gofdmFQp8U9sH38B8WDnwUeHwnWAK6N4TeULEf+g+uscaA5erZvTnKvWf3pd1VHbokZGBZnEv82IXdSfPqB45rGU/vIyJ/8wlbRBPaFLotEXEsoexW2jyxaMc387CmEb8gAAAQAElEQVR7sNTzr6985SsTe7TRw64tLvgIvMZL/pU/MZ6/seCAq7HmrKU7B+gHv0mWdFEco7d4zydKwPlNOiXe8pfe1vCf+oEcEQkcesAP86v00jM/xhbAIxO6bSEr5pMhPXbEhvz0MYbs6QydErf/8Ic/5OM29EodXPXRFhHJbjYcxWe6aR6ylwDDjw4bS5/BV4x3BU/xrOhrTLOI+RJ2eglndkZP9XHFJ7g4Elbmp4vgK+YF2zziIhs21i47vrIpui3nce9NmhwEr/kGfdkbPUcXGzAvu9Qf74xX8Mac+EcW2vDHAgeO5AIfMGtZuhyYalJP4Ri9wEfpXI8//vh05JFHpgMOOCD59hsrX4kbw+XcOR7f984heG0raddujKMT73vf+5Jvn/GhL4boVR1DsdOjzg6PRJ4xCobthfH5UM4RRxyRDjzwwLyS3mmnnfKHwCwynFllJMcdd1z+/lo7GoKVRQUcfLftu9/97mRHy649R8EQOUOLE06HAyvGxeFwFhyj3anFoGoRrfOIdiG8CvdNGL6/34f0nCHkrPDf1WtTvJEIS3Y4OwGfAyI7CzCO1A6eHY7CH3ISIJwBljwIGHbXnakkH+M4NfN562OBQFfojGDjHK6zmBIDr2EjIjlTbzeGU7Trx6GX+Qa5ct6CH5kO0r+9D/0yZ0TnnaP2/vV5fnCAnyE3QZtfsuNGN+m1YE8f6aAPllrgSkwdu9lggw2SYy18iSRVYuVMrrHsgr+gw+rpt4SYn/B7HHwTfdUukDvKI7Hx/dn8Ib/K78FBsm9ecPV39cwXmcM4de71d2WHEgmJA9tjJx//+MeT3wCRuEkwLLYd0wBTgadkxAIEPBsjxhUp2RW2syj52XvvvZNddTovDpjTpoh52TM7lOgoYoNdZHZrV54/0Bc++CfJsTBQ+Fu7qerKvPXamQN25SX1eMr3ioWSdUmkzzWQr7hLPnRcDD388MPz1y/jM6gRkfhW4+neBz/4wfzhUEkln+5YCRkffPDBab/99stv1emqxJWv1p/cIiIfs3L00TP9d28B6E2spJWOeGtARyXE5hBHLOQc6/rIRz6StNugoSvwE2dvv/32/HkRes4+jbOYAI/eKuCJw+g3rhQ8Yq82AVfN7MabD3zt2tiYImfwuzbsmG2wETZmTrZgDjQY7+2Tzxb4Dnx0skM0smPjxCzn7sURc3lbwqfIG8ASG/GVnfhNHHHVvXrz6Oee/ZIXO+QDzAV+O41oqWXpcGCqSb1AyCAEDcomyEmSJYD7779/orB+/MlXWApSkjyvuPTZfPPNk9fBdvudHdtrr71yEs5QjPNVlAKBQPK6170uOVqhv51YDoiT6iRGuwj6f+Yzn0nKHnvskfwIFsfB6VkQaIcDvAQp8DxbVMC74GCXiUPkYCwGdtlll/Sxj30soZdDYFwMGh+8cbA46ITTQqxDH/6/9a1vTc7O4pPXmGQlocEXCT/evv/970/4YyHk2atawUQwt7OBX3YmmjKT4INvAfXe974364Izw+TkVawreOZ40YtelOzi4a9k3blm+iOY0Ql96InFIPy8yqRnEqhBeS+h58zLDtGg40o/9Ap+ETWhLzxZKNeIyN/cZWfzk5/8ZNpmm20SnabLzqvbnHjb296WJAWOCNicENzd81v602F+i+5JDtgMvdxqq62S5FW9c/bqfW3uO97xjuQrd42xUaF95513zufw6TbfxG7ouITKURV2xwcpFrLvec97Mmx2Y7ELHrz5oje96U3Zn7JLNvKhD30oSZrQwZbAN7d+Eh4bH8ZLgPhCOPJ/6CxyZMN8AB8omUO3/vgAJzSZn//fYYcdkqMU7JH96uNNrYU5nogL6EU3HMHSj92TA59c5q3X7hywScbX4SP5WJiumkleHQ2hV2Tiqx3FWfXkwI82fbHNKDIhDz6XbOk+3ZPw0xvP7MBnOyxOzUmv9aVLdI7eip/kRyfp17ve9a4k3rIruIAntovN9FAccc7eHDb03FvUoQPVFpj0ns7RUfpkcWHDid7CyVi4itMR6/tfOYHjXXgkBwC3FHPBiz6KRfhDH9kLGzC3ut133z2xB8k4Xd11110TfqENTvRfroHv7IfN4ct2222X0CWO6o9n8Kbn5sBXNuk4D9tig3DBS1d2BAbYfICYFrE+jYWeel38HJhqUs/wGLMgZzXt9RGlF3AotCIZl8zb7ZL0CAIMRT/OhNEKXhJB/Uuh+HZrjGN4nu0QOKJh8dBNdJIr/SShBRZj5ojMxaE5wiFxtCDhVMwDR8ZYxriq4ygkuJwnwxM8jYmI/GMbVt52Szgr/brhtRDryRff0C0gkAGecCxoFfDxgxMUhPGVc3Vvh8MHtSTL5KF/kwdgS/jpDn2gA3TJFX8l6erpiTnNZQx9wG/ykzTZ0RfMyF29uYxRT3bNObvde2vgLZPX0t369KqHExzsyvTqV9vmhAMDTUp2dI8fout0XtJhEUnPPNsQoFs2KCxK6Zj+dF67QO08s8RHQsW/GQOevvSan+CbJFrGSgjYC78m6WcPdFjyy1/yffoZZxEs8CtwZXcFtn5wUMdWzGsO+PNd6iUa5vDMD8MbbWzNvMbbRbcLy6610evCQPanXT8+FSw4whWv4AI3NFkM6VdsmB/ht9kKOxcjJPFsFj/NbweUT9aXPZd567U7B2wo4Rf500l67J7+0Rk+m3zxHt/JhV+MWJcYiov0iTzIjr7RZXAsBsiQvMmX7zeejuhHjvyzfmRJ58xb9Ase9Iiu8dn0XDsbAR9edNQzu6C3dKpQTOfYB32kI+zIHHBS76oNjPYYU2Coh4+53Zd6V3qGdrSgGY/wy1x4xVbYNPzFN4sCsPQ1Bu3ooPfsgX9AHz3GI7aMLjjiHzjg8w3mYJPa0KKwGbDQqd7iiO3iD1gWKPCuZelyYKpJPbYyZsrG2O10ltd62joVOwQMlfPp1N6pLiLyB7mMiVjnjNKIfwUH1xFBJK/WvKpmiIIR+iPGx21UfKY5Dp84cs4/ojeNZGSH3qtDCT3+cLjqh8XRGPOavzk2IvIHBgWxiBY+EZE/yOfoTUSs/Zad1OcPjl4zw7lP147NggRHC5eOHWrlguFARKz1M3SO/qWZv4jWt+PQf/UzVflfRHTsn3r8RayDBV5ES38NAVvdNHQJbHALTebrVfSPWIdbs29Ey/70KfXFp6szR0TkbzyTtLER9aWvK1yMcR/R6ot2JaLzvPrWcncORMRaHYxo8Q2v8dYCyjXd9eeeLO56vNslIvIHYPUhG6V0iIj87VDgttfpX+rGuYJtzogWDePAah8bsT7+7X3o7J/8yZ+0V3d9HrS/fkUO7bqNZvzTp9NEpT0isow9p/q35DmwbNociIhkx9VqXIIfMXmjnDYNo8BnYHb9JfQS14ilQfcgvKIPdhm8hrXb0e7MBoExap+y627R1Q+G85rO0I+a0HPIdi4Fo35z1fbKgcqByoHKgcqByoHKgXE4MPWkHnIRkX811mslya66xV7seHg151VhP5oXOy+a9EVEwhOvfb2KtODxHDF7ix6Jvd33XsdpJPS+5eD/s3cmO83zUBg+lkCIC+CeYYXYIOZ5nmfEPM9ThWAFF8Ga1a/HqJ/68fcraUncJH0XVpPU8Tl+fOy+dR231jX0zK5I0Je2vI5FQAREQAREQASSJBBE1CdZAZWdbQLOfYl81n46F07YI9r/JexZosMa+t8Iepbc8MUu260j70VABCISUDYREAERqDsBifq6N4EcYFabB+4Q9iFpsMUYs/HFpTjsVsT2pB8fH1ZpFr+Sj845Y9kVa/2dC/clpZJPek8EREAEREAERCANBJL1QaI+Wb4qPSIBhD1imKU4EW+JJRtLcZiV54FYXn8j6HGI50bYMcE5CXp4KImACIiACIiACIQhIFEfhrOsRCDAswdFYe9cOFGMsOePsthyldn6CK7+L4tzzhD0/NrgXDjfSx3RsQiIgAiIgAiIQOMSkKhv3LZPZc2dq88a+1rFPBCLX0YQ9JwriYAIiECKCcg1ERCBnBKQqM9pw2a5WizFYY09f/qV9no4V58vIWnnIv9EQAREQAREQATCEohX1If1XdZyTKAo7NM++82XD54DYLY+x82hqomACIiACIiACKScgER9yhuokd1DKLNOPY0Pnjr3tcsNot45raGvNk6VXwREQAREQAREIF4CEvXx8lRpMRNwzhl7vqdpi0i+bDA7n4XlQTE3h4oTAREQgZAEZEsERKAKArGLenYQ6e7uNiUxiCsGent7bXJy0qfx8XGrd5qenraJiQnr6elRnKuvKwYUA4oBxYBiIAMxwP/QVKGPM5k1dlH/+flphUIh/Uk+1txGT09Pdnd3Z9fX1z7d3t7a4+OjL+/h4cE45z3yFCJy5p6joyPb3983yvh+3+vrq728vNjFxYVdXV35Y66RuI79vb09u7+/N64lld7f3+3t7c2en599fb/7qfNCMC7Eyfb2tp2enpaNmULE2KslH/GK3cvLS2/75ubGvx4cHBiJc/pJLWVXuof4p/yzszNLovxKtn96jz4Ij83NTT8u/JS/2vepL2MKbc4YUHo/thk/dnZ2gsVfqf2kj6n7ycmJMcZRdzhzfH5+/mfsLfpAXvoGMcg4/D0xRpKnmD/pV+wdHh76sT0pu/RHbNA3iIWodcIfYgqW8IVb1HtD5KOd+Uw8Pj72fYo6cg7TUvuc7+7uGvlKr/90TH3pN/QpyiA/1yiH+IEP19KYaGfG4I2NDa9HovjI/9FkUqlX4XTsop410H19faaUXwb9/f02PDxsY2NjPo2MjNjAwIBv88HBQeOc98gTNQ64Z35+3paWlowyyt3HbP3a2pq309HRYe3t7T5x3NnZ6X3p6ury14rvxfWKDWbm8ZP6l/NP18LGPHGyvr5uMzMz/4yZONqkXBnEAXb5xQY/RkdHvQ+Li4tG4jyJOKEPUD6/FiVRfrm6Rr3GGAAPRD39P+p9UfNRX8YU2pxf60rvwzbjx+rqqh8fSt/LwzF1n52dteXlZf9LJZw5npqa+jP2FutJ3mJM0g7f09DQkJGnmD/pV+wtLCz4sT0pu/RHbNA3iIWodcIfYgqW8IVb1HtD5KOd+Uycm5vzn2/UkXOYltrnfGVlxchXev2nY+pLv6FPUQb5uUY5SY1h2Igj0c6MwVtbW16PRCmzra2tCnmczayxi/psYpDXWSHQ3Nxs/EEVu+OE8pk19DwQqzX0oYjLjgiIgAhkjoAcFoG6E5Cor3sTyIFqCbS2thpbXTqX/K4zzn3tQ4+gR9xX66vyi4AIiIAIiIAIiEAIAhL1ISj/1obu/4sA4hpRz6z9X28kcMIMPTvdYDOB4lWkCIiACIiACIiACMRCQKI+FowqJDSBpqYm4/kN55KZrXfO+WU+iHrnkrERmpns5Z+AaigCIiACItC4BCTqG7ftM1/zlpYWY1lM3BVhVh4xn0TZcfuq8kRABERABESgDjukaAAAAFFJREFUSgLKnlMCEvU5bdhGqRbCO86HZp3TGvpGiR3VUwREQAREQATyRECiPk+tmYa6BPYBQc+/zcZllp11tIY+LpoqRwREQAREQAREIBSB/wAAAP//md0MLAAAAAZJREFUAwDgUO9nBpEfPgAAAABJRU5ErkJggg==\"\u003e\u003c/p\u003e\n\u003cp\u003eThe systematic comparison of institutional challenges (Table 3) provides robust empirical confirmation of the heightened vulnerability of the Venezuelan zoo sector relative to the broader ALPZA network. Funding shortages, already described as common among small- and medium-sized facilities throughout Latin America, manifest acutely in Venezuela, where the combined collapse of public subsidies and hyperinflation has rendered the procurement of essential food and veterinary medicines operationally impossible across the majority of the 15 documented institutions\u0026mdash;directly corroborating the collection-size collapse and negative breeding trends observed in Table 2. Veterinary care deficits, reported as variable region-wide, escalate to near-absent levels in Venezuela, evidenced by recurrent starvation cases documented as early as 2016 and persisting thereafter. Similarly, staff reductions\u0026mdash;already noted as insufficient in smaller Latin American zoos\u0026mdash;have reached critical severity in Venezuela through documented mass cuts in Caracas facilities, resulting in staff-to-animal ratios that fall well below WAZA minimum welfare benchmarks. In contrast, links to illegal wildlife trade remain only occasionally reported across the region and show comparable (rather than amplified) incidence in Venezuelan cases. Collectively, these severity differentials\u0026mdash;quantified as \u0026ldquo;acute\u0026rdquo; or \u0026ldquo;higher\u0026rdquo; in three of the four categories\u0026mdash;demonstrate that structural and governance failures in Venezuela exceed the baseline constraints documented in peer-reviewed Latin American literature, thereby amplifying the welfare and conservation shortfalls previously quantified in Table 2 and Figures 1\u0026ndash;2. This evidence underscores the necessity for prioritized, data-driven interventions, including emergency transnational funding mechanisms and capacity-building programs, to mitigate the disproportionate impact of these challenges on Venezuelan institutions and realign them with regional performance standards.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u003c/strong\u003e Comparative analysis of operational challenge categories affecting ALPZA-affiliated zoos and aquariums in Latin America versus those documented specifically in Venezuelan institutions.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eThe ALPZA network exhibits robust regional representation (\u0026gt;60 institutions, concentrated in Colombia, Mexico, Ecuador, and Brazil), with flagship zoos demonstrating large-scale collections (\u0026gt;2,000\u0026ndash;5,000 animals), expansive enclosures (up to 1,000 ha), and active ex-situ breeding/reintroduction programs contributing to IUCN outcomes (e.g., golden lion tamarins, Andean condors; Table 1). In stark contrast, Venezuelan facilities (n=15) comprise ~5% of the regional total, feature significantly smaller enclosures (median ~30 ha vs. regional ~200 ha; Mann-Whitney U, p50 deaths at Caricuao Zoo), and staff shortages (Tables 2\u0026ndash;3). Severity of operational challenges was markedly higher in Venezuela for funding, veterinary deficits, and staffing (acute levels vs. variable regionally), correlating negatively with reproductive viability (Spearman\u0026apos;s \u0026rho; = -0.72, p=0.002). While isolated positive developments emerged (e.g., white lion cub births in late 2025 at Maracay Delicias Zoo), overall trends indicate negative breeding outcomes and unquantified abandonment risks amplified during 2020\u0026ndash;2021, underscoring exceptional systemic constraints relative to ALPZA benchmarks.\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe findings of this study illuminate a stark dichotomy within the Latin American zoo and aquarium landscape under the ALPZA framework: while the regional network demonstrates substantial progress in institutional scale, conservation integration, and adaptive modernization, the Venezuelan subset exemplifies acute systemic failure driven by protracted socioeconomic and political instability. This disparity is not merely quantitative\u0026mdash;Venezuelan facilities represent only\u0026thinsp;~\u0026thinsp;5% of the ALPZA total despite a comparable historical presence\u0026mdash;but fundamentally qualitative, manifesting in reduced operational capacity, collapsed breeding output, and severe welfare compromises that diverge markedly from regional benchmarks.\u003c/p\u003e \u003cp\u003eRegionally, ALPZA-affiliated institutions exhibit heterogeneous yet resilient performance. Larger, well-resourced zoos in countries such as Colombia, Mexico, Brazil, and Peru maintain extensive collections (often\u0026thinsp;\u0026gt;\u0026thinsp;2,000\u0026ndash;5,000 animals across 150\u0026ndash;450 species), expansive naturalistic enclosures (up to 1,000 ha in exceptional cases), and structured ex-situ programs that contribute tangibly to IUCN Red List outcomes (e.g., golden lion tamarin and Andean condor initiatives; Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). These facilities leverage visitor revenue (\u0026gt;\u0026thinsp;5\u0026nbsp;million annual visitors at flagship sites like Chapultepec Zoo), collaborative research networks, and incremental infrastructure upgrades to balance public education, tourism income, and measurable conservation deliverables. The geographic concentration of membership\u0026mdash;led by Colombia, followed by Mexico and Ecuador\u0026mdash;further supports knowledge transfer, shared breeding resources, and collective advocacy, enabling the network to withstand common regional stressors such as variable funding and infrastructure aging through transnational partnerships and WAZA-aligned standards.\u003c/p\u003e \u003cp\u003eThe pronounced operational and welfare disparities between the resilient ALPZA regional network and Venezuelan zoos reflect not only resource heterogeneity but also the profound impact of prolonged national instability on ex-situ conservation capacity. While many Latin American institutions leverage visitor revenue, collaborative programs, and infrastructure modernization to fulfill dual educational and biodiversity roles, Venezuelan facilities have experienced cascading failures\u0026mdash;manifested in collection collapses, chronic malnutrition, and minimal conservation output\u0026mdash;exceeding typical regional challenges and aligning with broader humanitarian collapse indicators. Non-parametric analyses confirm statistically significant and large-magnitude differences (e.g., enclosure size and reproductive success), highlighting how governance breakdowns and economic factors compromise animal welfare and forfeit metapopulation redundancy for threatened taxa. Recent isolated breeding successes (e.g., 2025 white lion cubs) suggest potential for recovery under improved conditions, yet persistent neglect reports (e.g., Caricuao Zoo) emphasize that captivity in such contexts risks amplifying suffering without compensatory benefits. These findings advocate for tiered interventions: immediate humanitarian aid for core husbandry, ALPZA-facilitated capacity-building and knowledge transfer, and selective international relocation for at-risk individuals, ensuring Venezuelan zoos can realign with regional standards and contribute meaningfully to global conservation rather than exemplifying institutional failure.\u003c/p\u003e \u003cp\u003eIn contrast, Venezuelan zoos operate under extreme resource scarcity that has eroded core functions. The documented contraction of collections (e.g., Caracas facilities declining from ~\u0026thinsp;700 to 150 animals), near-absence of successful breeding or reintroduction programs, and pervasive reports of malnutrition, starvation deaths (historically\u0026thinsp;\u0026gt;\u0026thinsp;50 animals at Caricuao Zoo in peak crisis periods), and staff attrition reflect a cascading failure across nutrition, health, and behavioral domains. Small enclosure sizes (\u0026lt;\u0026thinsp;50 ha average), chronic veterinary deficits, and staffing shortages\u0026mdash;exacerbated since ~\u0026thinsp;2015 by hyperinflation, subsidy collapse, and supply-chain disruptions\u0026mdash;have rendered routine husbandry untenable, resulting in negative breeding trends and unquantified abandonment cases during the 2020\u0026ndash;2021 pandemic period (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Severity comparisons (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e) confirm that funding, veterinary, and staffing challenges are amplified in Venezuela to \"acute\" or \"higher\" levels relative to the Latin American norm, where such issues remain variable and more amenable to localized mitigation.\u003c/p\u003e \u003cp\u003eThis Venezuelan exceptionalism aligns with broader national humanitarian collapse, wherein macroeconomic collapse and governance failures disproportionately impact captive wildlife populations. Unlike regional peers that have capitalized on conservation-oriented modernization (e.g., immersive exhibits, enrichment protocols, and revenue diversification), Venezuelan institutions have been unable to implement adaptive responses, leading to a de facto shift from conservation/education centers toward survival-mode facilities with minimal welfare or biodiversity value. The persistence of these conditions into 2025\u0026ndash;2026, as evidenced by ongoing reports of neglect, limited recovery despite sporadic breeding successes in isolated cases (e.g., white lion cubs in late 2025), and continued vulnerability to secondary threats (e.g., potential wildlife trafficking linkages), underscores a critical threshold: without targeted external intervention, these facilities risk irreversible loss of institutional capacity and animal populations.\u003c/p\u003e \u003cp\u003eFrom a conservation biology perspective, the Venezuelan case highlights the fragility of ex-situ populations in politically unstable contexts. While ALPZA zoos regionally contribute to metapopulation management and species recovery, Venezuelan shortfalls represent forgone opportunities for regional redundancy in threatened taxa (e.g., local endemics or flagship species). Ethically and scientifically, the evidence challenges the assumption that all captive facilities inherently advance welfare or conservation; in extreme deprivation scenarios, captivity can instead amplify suffering without compensatory benefits, raising questions about the moral justification for maintaining collections under such conditions.\u003c/p\u003e \u003cp\u003eUltimately, these results advocate for differentiated strategies within ALPZA: sustained support for high-performing members to scale conservation impact, while prioritizing emergency capacity-building, international relocation/aid mechanisms, and governance reforms for acutely compromised subsets like Venezuela. Achieving equitable regional sustainability will require evidence-based prioritization of resources toward institutions demonstrating measurable welfare and conservation viability, thereby reinforcing zoos' legitimate role in the global biodiversity crisis response.\u003c/p\u003e \u003cp\u003eThe pronounced disparities documented in this study\u0026mdash;between the resilient, conservation-oriented performance of many ALPZA-affiliated institutions and the profound operational collapse in Venezuelan zoos\u0026mdash;necessitate targeted, multi-level interventions to prevent irreversible welfare and biodiversity losses while preserving the potential for regional recovery. Given the persistence of acute challenges into 2026, as evidenced by ongoing reports of resource scarcity, limited breeding success, and isolated positive developments (e.g., sporadic births such as white lion cubs at select facilities), solutions must be pragmatic, evidence-based, and phased to address immediate humanitarian needs for captive animals alongside long-term institutional rehabilitation.\u003c/p\u003e \u003cp\u003eAt the national level within Venezuela, the foremost priority remains stabilization of core husbandry functions through emergency resource allocation. This includes establishing transparent, ring-fenced funding mechanisms\u0026mdash;potentially channeled via international humanitarian frameworks (e.g., aligned with 2026 Venezuela Humanitarian Response Plan priorities in food security and protection)\u0026mdash;to guarantee consistent provision of nutritionally balanced diets, veterinary pharmaceuticals, and essential enclosure maintenance. Concurrently, governance reforms are essential: professionalizing zoo management by replacing politically appointed administrators with qualified biologists, veterinarians, and husbandry specialists trained in modern standards (WAZA and ALPZA guidelines). Strengthening staff retention through competitive remuneration and capacity-building programs could reverse documented attrition, improving animal-to-staff ratios and enabling proactive health monitoring and enrichment protocols.\u003c/p\u003e \u003cp\u003eRegionally, ALPZA offers a ready platform for solidarity-based support. The association's established mechanisms\u0026mdash;such as knowledge exchange, shared breeding resource coordination, and tools like the H.E.B.A. welfare assessment software\u0026mdash;could be leveraged to extend technical assistance to Venezuelan members. This might include temporary staff secondments from high-performing institutions (e.g., Colombian or Mexican flagship zoos), joint training workshops on enrichment and behavioral management, and facilitated access to surplus feed or medical supplies from regional partners. The upcoming 32nd ALPZA Congress (scheduled for May 2026 in Colombia) provides an ideal venue to formalize a dedicated \"Venezuela Recovery Initiative,\" prioritizing capacity-building grants, mentorship pairings, and monitoring benchmarks tied to measurable improvements in collection health and breeding metrics.\u003c/p\u003e \u003cp\u003eInternationally, multilateral and NGO-led interventions hold promise for acute cases where local conditions preclude rapid recovery. Coordinated animal relocation programs\u0026mdash;modeled on precedents from other crisis-affected regions\u0026mdash;could transfer high-value or at-risk individuals (e.g., flagship species or those in critical condition) to accredited facilities abroad for temporary or permanent sanctuary. Organizations with expertise in large-scale wildlife rescue (e.g., FOUR PAWS, Global Federation of Animal Sanctuaries, or partners within WAZA/ALPZA networks) could lead assessments, logistics, and post-relocation monitoring, ensuring compliance with CITES regulations and ethical welfare standards. Such actions would not only alleviate immediate suffering but also preserve genetic diversity for potential future reintroduction or metapopulation contributions once Venezuelan conditions stabilize.\u003c/p\u003e \u003cp\u003eTo mitigate secondary risks, including documented vulnerabilities to illegal wildlife trade, enhanced biosecurity and traceability protocols are warranted. Venezuelan facilities should integrate standardized marking systems (e.g., microchips, DNA registries) and collaborate with regional anti-trafficking efforts (e.g., ALPZA's ongoing campaigns against illegal trade). Parallel advocacy for stronger national enforcement\u0026mdash;potentially supported by international pressure and capacity-building from Interpol or CITES bodies\u0026mdash;could disrupt supply chains that exploit institutional weaknesses.\u003c/p\u003e \u003cp\u003eIn aggregate, these solutions represent a tiered strategy: immediate humanitarian relief to avert further mortality, mid-term capacity-building to rebuild operational viability, and long-term integration into the ALPZA conservation network to restore zoos' dual role in education and biodiversity safeguarding. Success hinges on depoliticizing animal welfare interventions, fostering transparent partnerships, and securing sustained funding from diverse sources (governmental, philanthropic, and zoo-community). By addressing Venezuela's exceptional vulnerabilities through evidence-driven, collaborative action, the broader Latin American zoo sector can reinforce its collective resilience, ensuring that even the most compromised institutions contribute meaningfully to global conservation imperatives rather than exemplifying systemic failure.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eALPZA official membership and reports (www.alpza.com, accessed 2025\u0026ndash;2026).\u003c/li\u003e\n\u003cli\u003eCole, J., \u0026amp; Fraser, D. (2018). Zoo Animal Welfare: The Human Dimension. Journal of Applied Animal Welfare Science, 21(sup1), 49\u0026ndash;58. https://doi.org/10.1080/10888705.2018.1513839 \u003c/li\u003e\n\u003cli\u003eConway W. 2011. Buying time for wild animals with zoos. Zoo Biology.\u003c/li\u003e\n\u003cli\u003eDuarte, R.H. (2019) El zool\u0026oacute;gico del porvenir\u0026rsquo; narrativas y memorias de naci\u0026oacute;n sobre el Zool\u0026oacute;gico de Chapultepec, Ciudad de M\u0026eacute;xico, siglo XX. Historia Cr\u0026iacute;tica 72: 93-113, doi: https://doi.org/10.7440/histcrit72.2019.05\u003c/li\u003e\n\u003cli\u003eFa JE, Funk SM, O\u0026rsquo;Connell D. 2011. Zoo Conservation Biology. Cambridge University Press.\u003c/li\u003e\n\u003cli\u003eGodinez, A.M., \u0026amp; Fernandez, E.J. (2019) What Is the Zoo Experience? How Zoos Impact a Visitor\u0026rsquo;s Behaviors, Perceptions, and Conservation Efforts. Front. Psychol. 10:1746. doi: 10.3389/fpsyg.2019.01746\u003c/li\u003e\n\u003cli\u003eGusset M, Dick G. 2011. The global reach of zoos and aquariums in visitor numbers and conservation expenditures. Zoo Biology.\u003c/li\u003e\n\u003cli\u003eHosey, G., Melfi, V., \u0026amp; Pankhurst, S. (2009) Zoo Animals Behaviour, Management, and Welfare. Oxford university press, United States, New York\u003c/li\u003e\n\u003cli\u003eHutchins M, Conway W. 1995. Beyond Noah\u0026apos;s Ark: The evolving role of modern zoos. International Zoo Yearbook.\u003c/li\u003e\n\u003cli\u003eIUCN Red List of Threatened Species. Available at https://www.iucnredlist.org/\u003c/li\u003e\n\u003cli\u003eJim\u0026eacute;nez, S., Monsalve, H., Moreno, M.A. \u0026amp; Jim\u0026eacute;nez, C. (2020). Demographic analysis for the reproductive management of captive jaguars (Panthera onca) in Colombian zoos. Biota Colombiana, 21(1), 86-103. DOI: 10.21068/c2020. v21n01a06.\u003c/li\u003e\n\u003cli\u003eKleiman, D.G., Allen, M.E., Thompson, K.V., \u0026amp; Lumpkin, S. (ed.), 1996, Wild Mammals in Captivity: Principles and Techniques, Chicago, IL/London:University of Chicago Press.\u003c/li\u003e\n\u003cli\u003eMaple, T. L. (2007). Toward a Science of Welfare for Animals in the Zoo. Journal of Applied Animal Welfare Science, 10(1), 63\u0026ndash;70. https://doi.org/10.1080/10888700701277659 \u003c/li\u003e\n\u003cli\u003eMellor, D. J., Beausoleil, N. J., Littlewood, K. E., McLean, A. N., McGreevy, P. D., Jones, B., \u0026amp; Wilkins, C. (2020). The 2020 Five Domains Model: Including human\u0026ndash;animal interactions in assessments of animal welfare. Animals, 10(10), 1870. https://doi.org/10.3390/ani10101870\u003c/li\u003e\n\u003cli\u003eMikota, S.K., \u0026amp; Maslow, J.N. (2016). Zoo animal welfare. John Wiley \u0026amp; Sons.\u003c/li\u003e\n\u003cli\u003eMinisterio del Poder Popular para el Ecosocialismo. (2018). Plan Nacional de Bienestar y Protecci\u0026oacute;n Animal en Venezuela.\u003c/li\u003e\n\u003cli\u003eOlney, P.J.S., Mace, G.M., \u0026amp; Feistner, A.T.C. (eds) (1994) Creative Conservation: Interactive Management of Wild and Captive Animals, London: Chapman \u0026amp; Hall.\u003c/li\u003e\n\u003cli\u003ePatrick P et al. 2007. Conservation and education in zoo mission statements. Journal of Environmental Education.\u003c/li\u003e\n\u003cli\u003ePereira, C. M., \u0026amp; Cavalcante, M. A. (2017). Animal welfare in South America: a review. Animal Welfare, 26(3), 321-332.\u003c/li\u003e\n\u003cli\u003eRiva, H. G., Zordan, M. A., \u0026amp; S\u0026aacute;nchez, C. R. (2020). The current state of zoological medicine in Latin America. International Zoo Yearbook, 54, 202\u0026ndash;218. https://doi.org/10.1111/izy.12251 \u003c/li\u003e\n\u003cli\u003eRodr\u0026iacute;guez-Morales, O., \u0026amp; Rivera-Taborda, J. A. (2018). Legal and illegal wildlife trade in Venezuela. Biodiversity and Conservation, 27(7), 1669-1686.\u003c/li\u003e\n\u003cli\u003eSmith, R. J. (2018). The role of zoos in contemporary society. International Zoo Yearbook, 52(1), 1-10.\u003c/li\u003e\n\u003cli\u003eThe Association of Zoos and Aquariums (2021). AZA-accredited institutions. Available at https://www.aza.org/current-accreditation-list\u003c/li\u003e\n\u003cli\u003eVenezuelan Ministry of Tourism. (2019). Zoos and aquariums in Venezuela. Retrieved from https://www.minitur.gob.ve/zoologicos-y-acuarios-en-venezuela/\u003c/li\u003e\n\u003cli\u003eWAZA Annual Reports and regional compliance updates (www.waza.org, 2023\u0026ndash;2025 editions).\u003c/li\u003e\n\u003cli\u003eWAZA. 2020. World Zoo and Aquarium Conservation Strategy.\u003c/li\u003e\n\u003cli\u003eWilson, L., Dorsey, C., \u0026amp; Moore, D. (2019) Challenges and solutions: An analysis of community-reported needs of AZA collaboratively managed animal populations. Zoo Biology. 38:45\u0026ndash;54. https://doi.org/10.1002/zoo.21467\u003c/li\u003e\n\u003cli\u003eWorld Animal Protection. (2018). The global wildlife entertainment industry. https://www.worldanimalprotection.org\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Zoos, Latin America, animal welfare, ex-situ conservation, zoological institutions, captive breeding, wildlife trade, Venezuela, biodiversity management","lastPublishedDoi":"10.21203/rs.3.rs-9141637/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9141637/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eZoos have historically played a complex role in the relationship between human societies and wildlife. In Latin America, zoological institutions emerged during the late nineteenth and early twentieth centuries, largely inspired by European models that prioritized exhibition and recreation. Over time, however, their mission has evolved to include public exhibition, environmental education, research, and ex-situ conservation of Neotropical biodiversity. Despite these changes, zoos in the region remain subject to intense debate regarding animal welfare, ethics, and their effectiveness as conservation institutions. This systematic review synthesizes historical development, typological diversity, operational status, ethical controversies, and welfare challenges across \u0026gt;\u0026thinsp;300 facilities. A particular focus is placed on Venezuelan zoos, which illustrate how economic, political, and institutional constraints can severely affect animal care and conservation capacity. Using a PRISMA-inspired literature search (Google Scholar, PubMed, Web of Science, 1990\u0026ndash;2023), we extracted quantitative and qualitative data on infrastructure, animal collections, conservation outputs, and welfare indicators. Results suggest that while some zoos are increasingly aligning with global conservation standards, many still face significant challenges including insufficient funding, outdated infrastructure, and limited professional capacity. Key results include marked heterogeneity in zoo size and capacity, severe welfare deficits in Venezuela (e.g., Caricuao Zoo population decline from ~\u0026thinsp;700 to 150 individuals, 2017), and region-wide shifts toward breeding programs. Recommendations emphasize standardized welfare protocols, inter-institutional partnerships, and evidence-based enrichment. The review underscores the urgent need for regulatory harmonization to align zoos with contemporary ethical and conservation standards.\u003c/p\u003e","manuscriptTitle":"Zoos in Latin America: Challenges and Opportunities in Balancing Conservation, Animal Welfare, and Public Education – a Review With Special Reference to Venezuela","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-18 06:33:18","doi":"10.21203/rs.3.rs-9141637/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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