{"id":3339,"date":"2026-02-24T20:21:52","date_gmt":"2026-02-24T20:21:52","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/"},"modified":"2026-02-24T20:21:52","modified_gmt":"2026-02-24T20:21:52","slug":"mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","title":{"rendered":"Ma\u00eetriser l&#8217;alignement organisationnel : un guide complet du mod\u00e8le McKinsey 7S"},"content":{"rendered":"<p>Dans le monde complexe de la strat\u00e9gie d&#8217;entreprise, avoir un plan brillant n&#8217;est que la moiti\u00e9 de la bataille. Le v\u00e9ritable d\u00e9fi r\u00e9side souvent dans la mise en \u0153uvre et l&#8217;alignement. Les organisations sont des syst\u00e8mes vivants o\u00f9 un changement dans une zone se propage \u00e0 travers les autres. Pour naviguer cette complexit\u00e9, les dirigeants s&#8217;appuient sur des cadres solides pour s&#8217;assurer que chaque partie de leur entreprise \u00e9volue dans la m\u00eame direction. Parmi les outils les plus durables et les plus efficaces, on trouve le mod\u00e8le McKinsey 7S.<\/p>\n<p><img alt=\"McKinsey 7S Model layout\" decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\"\/><\/p>\n<p>Ce guide explore les profondeurs du cadre McKinsey 7S, un \u00e9l\u00e9ment central du <a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-visual-paradigm-model-canvas-tool\/\">Kit complet de canevas d&#8217;entreprise<\/a>. Nous analyserons ses concepts cl\u00e9s, fournirons des directives \u00e9tape par \u00e9tape pour sa mise en \u0153uvre, et d\u00e9montrerons comment l&#8217;intelligence artificielle (IA) peut r\u00e9volutionner la mani\u00e8re dont vous analysez et alignez votre organisation.<\/p>\n<h2>Concepts cl\u00e9s : D\u00e9coder le cadre 7S<\/h2>\n<p>Le mod\u00e8le McKinsey 7S est un outil strat\u00e9gique con\u00e7u pour \u00e9valuer l&#8217;efficacit\u00e9 organisationnelle. Contrairement aux cadres qui se concentrent uniquement sur des facteurs externes (comme PESTLE) ou la position concurrentielle (comme les Cinq Forces de Porter), le mod\u00e8le 7S se concentre sur l&#8217;alignement interne. La pr\u00e9misse est simple : pour qu&#8217;une organisation fonctionne bien, sept \u00e9l\u00e9ments sp\u00e9cifiques doivent \u00eatre align\u00e9s et renfor\u00e7ant mutuellement.<\/p>\n<p>Ces sept \u00e9l\u00e9ments sont cat\u00e9goris\u00e9s en \u00e9l\u00e9ments \u00ab durs \u00bb et \u00ab doux \u00bb. Comprendre cette distinction est essentiel pour une analyse efficace.<\/p>\n<h3>Les \u00e9l\u00e9ments durs<\/h3>\n<p>Ce sont des \u00e9l\u00e9ments tangibles, plus faciles \u00e0 identifier, et directement influenc\u00e9s par les d\u00e9cisions de gestion.<\/p>\n<ul>\n<li><strong>Strat\u00e9gie :<\/strong> Le plan con\u00e7u pour construire et maintenir un avantage concurrentiel sur la concurrence. Il pr\u00e9cise le chemin que l&#8217;organisation entend emprunter pour atteindre ses objectifs.<\/li>\n<li><strong>Structure :<\/strong> La mani\u00e8re dont l&#8217;organisation est structur\u00e9e et qui rapporte \u00e0 qui. Cela inclut le diagramme organisationnel et la hi\u00e9rarchie de pouvoir.<\/li>\n<li><strong>Syst\u00e8mes :<\/strong> Les activit\u00e9s quotidiennes et les proc\u00e9dures auxquelles les membres du personnel participent pour accomplir leur travail. Cela couvre tout, des syst\u00e8mes informatiques aux proc\u00e9dures financi\u00e8res et aux flux de travail RH.<\/li>\n<\/ul>\n<h3>Les \u00e9l\u00e9ments doux<\/h3>\n<p>Ce sont des \u00e9l\u00e9ments intangibles, plus difficiles \u00e0 d\u00e9crire, et influenc\u00e9s par la culture. Toutefois, ils sont souvent tout aussi importants que les \u00e9l\u00e9ments durs pour d\u00e9terminer le succ\u00e8s.<\/p>\n<ul>\n<li><strong>Valeurs partag\u00e9es :<\/strong> Le c\u0153ur du mod\u00e8le. Ce sont les valeurs fondamentales de l&#8217;entreprise qui se refl\u00e8tent dans la culture d&#8217;entreprise et l&#8217;\u00e9thique de travail g\u00e9n\u00e9rale. Elles relient tous les autres \u00e9l\u00e9ments.<\/li>\n<li><strong>Style :<\/strong> Le style de leadership adopt\u00e9. Cela englobe le style culturel de l&#8217;organisation et la mani\u00e8re dont les gestionnaires cl\u00e9s se comportent pour atteindre les objectifs de l&#8217;organisation.<\/li>\n<li><strong>Personnel :<\/strong> Les employ\u00e9s et leurs capacit\u00e9s g\u00e9n\u00e9rales. Il ne s&#8217;agit pas seulement du nombre de personnes, mais de la gestion des talents et de la mani\u00e8re dont la main-d&#8217;\u0153uvre est d\u00e9velopp\u00e9e.<\/li>\n<li><strong>Comp\u00e9tences :<\/strong> Les comp\u00e9tences et capacit\u00e9s r\u00e9elles des employ\u00e9s de l&#8217;entreprise. Elle aborde la question : \u00ab Qu&#8217;est-ce que nous faisons le mieux ? \u00bb<\/li>\n<\/ul>\n<h2>Guides : Mise en \u0153uvre de l&#8217;analyse McKinsey 7S<\/h2>\n<p>Utiliser le mod\u00e8le McKinsey 7S exige une approche structur\u00e9e. Que vous soyez un fondateur de startup utilisant le Kit complet de canevas d&#8217;entreprise ou un strat\u00e8ge corporatif, suivez ces directives pour assurer une analyse approfondie.<\/p>\n<h3>\u00c9tape 1 : \u00c9valuer l&#8217;\u00e9tat actuel<\/h3>\n<p>Commencez par cartographier la mani\u00e8re dont votre organisation fonctionne actuellement sur les sept dimensions. Soyez honn\u00eate et critique. Vos syst\u00e8mes sont-ils obsol\u00e8tes ? Votre structure entrave-t-elle votre strat\u00e9gie ?<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/circle.visual-paradigm.com\/docs\/impact-analysis\/analysis-diagram\/how-to-use-analysis-diagram-to-visualize-dependencies-between-elements\/\">Examiner les interd\u00e9pendances<\/a>:<\/strong> Recherchez les lacunes. Par exemple, votre <em>Structure<\/em> (hi\u00e9rarchique) entre en conflit avec votre <em>Strat\u00e9gie<\/em> (innovation agile) ?<\/li>\n<li><strong>Recueillir des donn\u00e9es :<\/strong> Utilisez des sondages, des entretiens et des observations pour \u00e9valuer les \u00e9l\u00e9ments \u00ab doux \u00bb tels que le style et les valeurs partag\u00e9es.<\/li>\n<\/ul>\n<h3>\u00c9tape 2 : D\u00e9finir l\u2019\u00e9tat futur<\/h3>\n<p>D\u00e9terminez o\u00f9 l\u2019organisation doit se trouver. Si vous lancez un nouveau produit ou p\u00e9n\u00e9trez un nouveau march\u00e9, comment les sept \u00e9l\u00e9ments doivent-ils \u00e9voluer pour soutenir cet objectif ?<\/p>\n<h3><a href=\"https:\/\/www.visual-paradigm.com\/guide\/bpmn\/business-procses-modeling-and-gap-analysis\/\">\u00c9tape 3 : Analyser les lacunes<\/a><\/h3>\n<p>Comparez votre \u00e9tat actuel \u00e0 votre \u00e9tat futur souhait\u00e9. Les \u00e9carts mettent en \u00e9vidence les domaines qui n\u00e9cessitent une intervention.<\/p>\n<h3>\u00c9tape 4 : \u00c9laborer un plan d&#8217;action<\/h3>\n<p>Cr\u00e9ez une feuille de route pour combler les lacunes. Souvenez-vous qu\u2019un changement dans un \u00e9l\u00e9ment entra\u00eenera <a href=\"https:\/\/www.visual-paradigm.com\/features\/impact-analysis-tools\/\">un impact sur les autres<\/a>. Si vous introduisez de nouveaux <em>Syst\u00e8mes<\/em> (par exemple, un nouveau CRM), vous devrez peut-\u00eatre am\u00e9liorer <em>Comp\u00e9tences<\/em> (formation) et ajuster <em>Structure<\/em> (r\u00f4les de support informatique).<\/p>\n<h2>VP IA : Comment l\u2019IA de Visual Paradigm am\u00e9liore l\u2019analyse strat\u00e9gique<\/h2>\n<p>L\u2019analyse strat\u00e9gique traditionnelle peut \u00eatre chronophage et sujette \u00e0 biais.<a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\">L\u2019outil Canvas aliment\u00e9 par l\u2019IA de Visual Paradigm<\/a> transforme le mod\u00e8le McKinsey 7S d\u2019un diagramme statique en un espace de travail dynamique et intelligent.<\/p>\n<p><img alt=\"\" decoding=\"async\" src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAABa4AAAK2CAIAAAApI5wkAAAQAElEQVR4Aez9D3xUxb3\/j082m7CL3XKDv8Q2rdFPYgk1saE1uSQavEhNKq1II15v6x+8fKhipdcv10u94cZ88knjXiKllA9fUanlUlCipQL+qWIJBa6kQkuoRBNlqclHo4aS\/GR\/dJWEZAm\/98ycc\/bs2XM2m5BsNrsvHrOzc+bMvOc9z5n3+8zMbhbbefwDARAAARAAARAAARAAARAAARAAARCIdwLon0bAxsbpn6YBEiAAAqNIYJwMenyaHUVuEAUCIKARGB97HqdWtV4jAQIgMIoExsmgx6fZUeQGUWNHAJInHIEo2PMoH4VoiDXVtRxDQiuABAiAwCgSMBiadqk1EZqj3YqRRKiGWo4hESMKQw0QiDMCBkPTLrVuhuZot2IkEaqhlmNIxIjCUAME4oyAwdC0S62boTnarRhJhGqo5RgSMaKwqRrIBIGJS8BgaNql1qPQHO1WhInROQqRelCTSUlJFFOQORRTGgEEQGDcCZAxyiA1SUripqrPkfnjGGvKJCVx3UgTmUMxpRFAAATGnQAZowxSk6Qkbqr6HJk\/jrGmTFIS1400kTkUUxoBBEBg3AmQMcogNUlK4qaqz5H5FxhfSHVNmaQkrhuJkjkUUxoBBEBg3AmQMcogNUlK4qaqz5H5kcQXehRCrVIzSUlGDSifAt2iGAEEQGDcCWjGSAkKUh9KJCUpxkvp8QqkDDWdlKRoIi8phxIUtASlEUAABMaRgGaMlKAgNaFEUpJivJQer0DKUNNJSYom8pJyKEFBS1AaAQTilcCE6JdmjJSgIHWmRFKSYryUHq9AylDTSUmKJvKScihBQUtQGgEEQGAcCWjGSAkKUhNKJCUpxkvpCMPIj0KoVWojKSmJEhQoTbE+UM7g4KA+B2kQAIHxIjA4OEgmaWhdyyFDlmmKoxlIH2qOWqcEBUpTrA+UQ5rrc5AGARAYLwJkjGSShta1HDJkmaY4moH0oeaodUpQoDTF+kA5pLk+B+l4IoC+TCwCZIxkkgadtRwyZJmmOJqB9KHmqHVKUKA0xfpAOaS5PgdpEACB8SJAxkgmaWhdyyFDlmmKhwwjPwoh0VIDmdB0ooTM1xJ0SWlDoEwEEACBUSdgMDS61JrQ0jJBlqslZBnKiX7QmqYE6UMKyATFFCiHYhkobQgyHzEIgMDoEjAYGl1q8rW0TJDBaglZhnKiH7SmKUH6kAIyQTEFyqFYBkobgsyfcDEUBoEYJ2AwNLrUFNbSMkEGqyVkGcqJftCapgTpQwrIBMUUKIdiGShtCDIfMQiAwOgSMBgaXWrytbRMkMFqCVmGciIJF3QUQg3IxiimtNSA0pQwBMo0BEMBXIIACIwKAYOh0WWoWMqkQPlktpSQgdLjFaQCFJMCpBUlKFDCECjTEAwFcAkCIDAqBAyGRpehYimTAuWT2VJCBkqPaQgjXCpAMZUhrShBgRKGQJmGYCiASxAAgVEhYDA0ugwVS5kUKJ\/MlhIyUHq8glSAYlKAtKIEBUoYAmUagqEALkEABEaFgMHQ6DJULGVSoHwyW0rIQOkIw\/COQqR0GVMDMkFtUyI0pkwKlI8AAiAw7gTIGGUgTSgRGlOmZtSUpkCXYxFIshZIvkyH6iNztLt0iQACiUkgdnot7ZFiUsk0pkzNqClNgS7HIpBkLZB8mQ6jFRWguwggAALjToCMUQbShBKhMWVqRk1pCnQ5FoEka4Hky3SoPjJHu0uXCCAAAuNLQNojxaSGaUyZmlFTmgJdmoZhHIUYpNClIWjaUEKGc+fOaQktLXMQgwAIjDUBMjoKshUtIS\/JeClBsSHo3QTd0l+OStogky4NQWpFsRY0zSlBQctHIr4JoHcxQoCMjoJURkvISzJeSlBsCHpfQbf0l6OSNsikS0OQWlGsBU1zSlDQ8pEAARCIAgEyOgqyIS0hL8l4KUGxIeh9Bd3SX45K2iCTLg1BakWxFjTNKUFBy0cCBEAgCgTI6CjIhrSEvCTjpQTFhqD3FXRLf6mlh3EUIn+DhGqSLEN7dKkFqRzFFGSmPkFpBBAAgegQMDVAyqTWKdYCWbQWKJPSZOYUNJOn9GgFTSa1ItuihAx0qQWpIcUUZKY+Qel4DegXCMQaAVMDpEzSk2ItSCuWMWVSQjoNzeTl5ajEmkxqRbZFCRnoUgtSQ4opyEx9gtIIIAAC0SFgaoCUSa1TrAVpxTKmTEpIj6GZvLwclViTSa3ItighA11qQWpIMQWZqU9QGgEEQCA6BEwNkDKpdYq1IK1YxpRJCekxNJOXl1o8jKMQTZZMUKwFakkGkpuSkjJp0qTJkydfdNFFnxP\/XPgHAiAwrgSEIX6OTHLy5MlknmSkZKrSZinWDJkSlC9jfYLSoxUMwuny\/PnzMiZNZKC2SEPSk7QlnaXy48oPjYMACLikJZJJkmGSeZKRkqlKm6VYWrGMKZ8SFFPQEpQeraDJlAmKtUCayEBtkYakJ2lLOkvlMYogAALjS0BaIpkkGSaZJxkpmaq0WYo1Q6YE5ctYn6D0aAWDcLrUAmkiA7VFGpKepC3pLJUfX4BoHQRAQFoimSQZJpknGSmZqrRZijVDpgTly1ifoLQ+RHQUQlIoyGoyQTEFak8LNpvN4XA4nc7U1FS73U6XVqcvUg5iEEhwAtHvPpkkGSaZJxkpmarD4aBLzYQpQUZNgRSTsUxoabq8kEByKEgJMkExBWpXC6QPaUW6kYakJ12SzrIKYhAAgVggQCZJhknmSUZKpkoGS5eaCVOCjJoCqSpjmdDSdHkhgeRQkBJkgmIK1K4WSB\/SinQjDUlPuiSdZRXEIAACsUCATJIMk8yTjJRMlQyWLjUTpgQZNQVSVcYyoaXp8kICyaEgJcgExRSoXS2QPqQV6UYakp50STrLKohBAARigQCZJBkmmScZKZkqGSxdaiZMCTJqCqSqjGVCS9OlDBEdhVBjsjTV14Jsg+Jz587ReQxpkJycLIshBgErAsiPHQJksGS2ZLxkwmTIZNoypoQMUlXN\/OXliGNNjhQuY9kixaQDaUL6kFYjbgIVQQAEokyADJbMloyXTJgMmexaxpSQQeqjmb+8HHGsyZHCZSxbpJh0IE1IH9JqxE2gIgiAQJQJkMGS2ZLxkgmTIZNdy5gSMkh9NPOXlyOONTlSuIxlixSTDqQJ6UNajbgJVAQBEIgyATJYMlsyXjJhMmSyaxlTQgapj2b+8pLioY9CqD6Vo0AJQ5Bt0EkMncdQAQQrAsgHgZglQMZLJkymLc2ZEvog1aYcmRhxrEmghCHIdkkH0mTE8lERBEBgHAmQ8ZIJk2lLc6aEPkjFKEcmRhxrEihhCLJd0oE0GbF8VAQBEBhHAmS8ZMJk2tKcKaEPUjHKkYkRx5oEShiCbJd0IE1GLB8VQQAExpEAGS+ZMJm2NGdK6INUjHJkQsZDH4XQ8YmsQ3FooAMYOoaRsgwxLkEABCYEATJhMuRQ66Yc0p9icgKUuJBAEkgOSaA4NFDrpAPdRQABEJigBMiEyZBDrZtyqEcUkxOgxIUEkkBySALFoYFaJx3oLgIIgMAEJUAmTIYcat2UQz2imJwAJS4kkASSQxIoDg3UOulAdxFAAARGSGC8q5EJkyGHWjflkGoUkxOghBaGOAqhCrKolqBLStNZC4WUlBRqj3IQQAAEJjQBMmQyZzJqCmTgWl+0tJbQbkWe0OpqCapLaWqLArVLrVMOAgiAwIQmQIZM5kxGTYEMXOuLltYS2q3IE1pdLUF1KU1tUaB2qXXKQQABEJjQBMiQyZzJqCmQgWt90dJaQrsVeUKrqyWoLqWpLQrULrVOOQggMGwCqBBLBMiQyZzJqCmQgWuqaWktQbeGOAqhErK0FlNCBmomNTWVCiCAAAjEAQEyZzJqad0ypk5RQospMeKgl0NpLVCL1O6IxaIiCIBATBEgcyaj1gycEqSePqbLEQe9HEprgVqkdkcsFhVBAARiigCZMxm1ZuCUIPX0MV2OOOjlUFoL1CK1O2KxCVoR3QaBWCVA5kxGrRk4JUhTfUyXMgxxFCK\/Q0I1KUEx1aFYBjpuoUsEEACBuCFARi2tm2LqFMWa4VOCckYWZF29NErLQC2OTCZqgQAIxCYBMmpp3RSThhSTB6CY0pSgeGRB1iU5lKCYhFAsA7VIlwggAAJxQ4CMWlo3xdQpijXDpwTljCzIunpplJaBWoxUJsqBAAhMBAJk1NK6KSZ9KSYPQDGlKUGxDEMchchCFMuaMqZLm81GZy2UQAABEIgbAmTUNpviE6Sxy3i0OiilyZhkUlvUIiUQQAAE4oYAGTWZtuyONHYZy5wLj6U0GZM0aotapAQCCIDAGBKIrmgyajJt2aY0dhnLnAuPpTQZkzRqi1qkBAIIgEDcECCjJtOW3ZHGLmOZo8XKtke71if0FShNge5SPDg4SNIpjQACIBBnBMi0ycDJzKlfFFOghAz6tMyJJNbXojQFqkUxtUJtURoBBEAgzgiQaZOBk5lTvyimQAkZ9GmZE0msr0VpClSLYmqF2qI0AgiMCQEIHT8CZNpk4GTmpALFFCghgz4tcyKJ9bUoTYFqUUytUFuURgABEIgzAmTaZOBk5tQviilQQgYtHe4ohIpq5eQ3SeiSAuVrpyyURgABEIgbAtK0ycwpUKek4VNCXlJiBEGrK6XRJQWSI9uiBAIIgEA8EZCmTWZOgfolDZ8S8pISIwhaXSmNLimQHNkWJRBGjQAEgUAMEJCmTWZOgdSRhk8JeUmJEQStrpRGlxRIjmyLEgggAALxRECaNpk5BeqXNHxKyEtKUAh3FCIrUGktUAUKdClFUxoBBEAgngiQaZOByx5RQguUIx0CJYYVZC1NDiVkdUpQWzKNGARAIJ4IkGmTgcseUUILlCMdAiWGFWQtTQ4lZHVKUFsyfaEx6oMACMQSATJtMnCpESW0QDnSIVBiWEHW0uRQQlanBLUl04hBAATiiQCZNhm47BEltEA50iFQItxRCN2WQStNlySFYn0OXSKAAAjEBwFp2tLMZY9kjkxfSKyXI+Xrcy5EMuqCAAiMkMDYVJOmLc1ctiBzZPpCYr0cKV+fcyGSURcEQCCmCEjTlmYuFZM5Mn0hsV6OlK\/PuRDJqAsCIBBTBKRpSzOXiskcmZbx0EchVEcvQlajTJlADAIgEE8EQk2bzD80c7hdJgkkx1CLMg05uASBaBBAG2NMINS0yfxDM4erBUkgOYZalGnIwSUIgEAcEAg1bTL\/0Mzh9pQkkBxDLco05OASBEAgDgiEmjaZvyEz3FEIlSYKMqYEBX2aLhFAAATilYDe2GVaxsPtr6wlY1lXn5Y5iKNBAG2AQNQJ6I1dpmU8XEVkLRnLuvq0zEEMAiAQlwT0xi7TMh5uZ2UtGcu6+rTMQQwCIBCXBPTGLtMyps6GOwqh26ZBq2x6F5kgAAITmkB0DDw6rbAJPRJQHgQmLIHoGHh0WpmwgwDFQWBiE4iOgUenlYk9EtAeBCYsbEchIAAAEABJREFUgSEN3PIoxFDTcDlhgUBxEEgAAqPXRYPhGy6HbMdQ3nA5ZHUUAAEQiAMCBsM3XA7ZQUN5w+WQ1VEABEAgDggYDN9wOWQHDeUNl0NWRwEQAIE4IGAwfHlpeRRi1WFZzeou8kFg3Aig4dEjMNZmPtbyR48EJIEACIyQwFib+VjLH2G3UQ0EQGD0CIy1mY+1\/NEjAUkgAAIjJBDezCM9CjH8xMgIdUG1UScAgSAwlgRG1\/BHV9pY9huyQQAERo3A6Br+6EobtU5CEAiAwFgSGF3DH11pY9lvyAYBEBg1AqaGH+lRiKaFqRTtbpQSaAYEQGAsCYy1mY+1\/LFkA9kgAAIRERhrMx9r+RF1EoVAwJTAoN932sfDZ37T+6Ob6feJtnzRaGt0NR9S2lib+VjLH7KDKAACIBAxgREWDG\/mwz4KGaEWqAYCIAACIAACIAACIAACcU6g9+jTbvdKt\/vRpw6etkehr91vPr2GmnM\/vOZ3XVFoDk2AAAhEkQCaGlsCOAoZW76QDgIgMDEJ+LvfPXjwjWPdcfgx28QcEGgNAjFGwNd5+OAbrV2fjb5aUnKnb\/QlQ2IUCPQeeua5d3upoZybf1ieSe9jHjKvWzT\/q05qpnvfM6\/gMIRAIFwIgX7+JaNe3eLH\/xnP8Q9eiNDh1h2b8v7uY28cPPguVnZjg3diSo2ho5DOpmee2UrhQOeYofRH5ZuKF6I+uZt48DUXggB1QSAGCPT+adOazS+++NKv1u04Ns7q9Ha1Nh8+HBLavTq9Bv2+cXFup1tf4U77mVfeHnLT1nlAlHymaewcvA4IkiAwHAKmawPf26+INckrrafNZHW+uO7x7S++9My6TQeGnP1m9a3zVMmPbx5tydZt8jsh+x+emTCvUVuCDh578dV2ju3L31lQzI8neFr\/8vfqN5n6OxeQds64bX5uKgk4dWDHgVP0jjAhCYy30oOnDm52P\/y\/+HeanmsTynzW\/uJjDz9cRzlP7O0WORM46j28ec2vXnrxxc3rnvdM4G5A9dElEM2jkKObKoP\/PVy76rHth3uUg8dT7a2tb1N4b9SduM+zd9PPHqa2H66j+OHan2\/a6xnlpcuFjspn7bufcj\/8H5Xkbnjsfmq3pmHPgcfd\/N\/jr1+YE2rbzqW43duld7tQjVEfBMaFgOZGHn7u3WAFBo89978q5b9NLcG3Qq\/+unuVKLrqd6pZdb0icyp\/9kqnnzmnuOQaNsWWElo7qjmnW199fvv2kPC6OFI41fzMmtqHK\/\/jYTc5t\/94eM3Ww6EfdnT\/TulZ5bq9Bu966vfrBIbKyp\/uVkEMp3O9XW3cabe2dfGPQMPWPPWeKNnablAhbCXcBIGxJBB+bUCzW6xJhprdF7qM6j7wpHg4P3lAsUHXVJeUKeOxJKDIFrudSrH\/qX344VVbD5+y+vh3KM+pCLywt6ObFbekvAWvFS9MtmVtwxK09XkxKO7trZY1zG\/0\/unA0X66ZZ\/xzVlT6V0L\/u7Dz69zi0Uo+Wyive55vbtWH22bjyo1Pju8ST7Rajcd5itWtYACpZKoBElwzvhmoYvX\/ej1MfxEkTcw6q+JKlCdqJvUMYuhjoSbwKoVq1OJv8u10Kl9z7z4btBPzhx7adPBj5Rt2si6F0aT0VycRLRXcrrUlV1K1LzryKihVhQJjOtc8Pee+ujw9p8\/fkD\/8eZod76rcc2jm3Z71AMXxvy9Jz27Nz26pjF2vkTYvfvJp\/a2+7Tvg\/h97Xs3rXlOnlme6\/3Ux\/99OuReIzw6\/9+4FJ\/vbxfk08K3gbsgEDUC\/qNvHNbbRG+zXICOSIHPjm56SnySZsuY8\/3vZNkZy\/3eg\/ffueDuB6puyRmRxDGvRA\/y3ref+X+fb+3uVU160N\/99vY1T4qOmLbfdTB4idx54E+x4wZNNUYmCIwVgQtdG2TN\/\/d\/++cFd9zz0L2zxAZ05Hr2+uQ\/1Z+lzbr\/X0dHcmQ69R5+7imx27E7LyLf5z\/19vZfNirHMkNICPWcQ1QY0W1lrbhudxTdlf8zOSjDXTH1Hn1bfCUkNX\/GV3Wd\/ezoMyvXbG\/uCuwy+31dzdvXrHzmqOkfWA127X5yu4cfqThzv\/u9IrMZRlS4hP+zu0s9t8qaVSL+HMfneTey4dMpiGScERjRBO71dEgby\/pOVf2iAkLS6ekQCwxX0T8\/8lD5Fyhn2CEiTS58cXIuor3S9FsfvP+OBf\/8QNWCrwy7I6gQrwTG4yjkK\/OrVlRVrXhg\/lfEx66DXW+Gfrk69CsMoTm+zoMvPbVGHNyveepF7dsl+qGircJTvxefktqn5n9rwYJbF8y\/PncqPeuZv\/v3TylnDVTB3330d8+se5TLWvXYM4bvjFA7L2rtvKQ\/xWfMd2zv1nWrqN6j67Y3n+p+XfkCx4EeEspatU8VqNhmrikX3q4ud3gR8fLsfV2Ut+cuqPrPRx76bi5XkPUePXSU0THnU6\/LT1FP\/eEJakd8p6N1O6UoPN\/q7zm8\/bFVIjOsMkTvBfF4Zqz9Bar5uNSQMITpOAlXOv7zTXvbe3XdObiJZFD4+Svik2nZi+2cg9u95rdKQyIXEQiMGYG\/HDwYOEX1Nf\/JbOKR9Q7lJRjrPdjwnIfbpTP3n9Q\/7e458PTTL+7esekXTXxN2TqkLX\/WZemOzN1L+ys\/IxOi8EzgRMd74CnKoLDpIP8UUJL7QvlD9YF\/\/1wg3EPqjMI8X\/N\/t3Kt2dSS+x+p\/8n9JReLCh8dbP6rSJhEvsN\/0P29j+eNw2bf\/CdmiuG71zxl8HiDvmO\/f0a4Sn7rlLoEDzRFlYcGHiiOFAiMC4FI1wZSuX7+eT5\/wNGD\/k9iRcHzW1\/8xfbdLz33xAvq9wbMLZ0X5S9z0+g+8OQTr0s\/5n2dP+OfJ2k6ye2v8KUDPVhf1R62pxQ3sfK5Vr5Vpke\/9Vpo8FSr9dqGa8Vfnta\/8Dfn3y+qqX6gPMtF\/wZ83O\/x3HAvM89J5S04tP92jdtN3s39TLPwW1SSqX1x610evyFeOfPFWvF712TxxeJg995G9dN3iyZELXaqbfczj\/Hhcj+67pnfH\/NJN0WrIN64W1kvUdHQHMoUgRz+i4IJrZhepFrqF3bMJYsqatTe\/n950p4\/Yzp\/ly\/6uOu5VnHk4by8ZP6ttBYtL8rkfWKftT63yeTwuvOlTXvFsjDj+nsWFYiSUhLFcgn9o++VCCqsZ+\/v3qZcEdKm56TxxKm\/aN8r5pd4RYMALddpqrjdj7\/e2S6fktr0056bWo5QiKaZqLG9Vd0juGmxHTR0\/u4\/vfjUz3mpNZv3tn8WWPwLAfTZrvnmhSSbTmCllvo2tfgesR2jHVnVD6\/PaH1+1Sti9jJb1951ZCnkneQ3kmiV1Lr90aE3DtQu19W9vdUvfObzrZQTiSbkxSJYnPgtaRD80L0SZQptHn+9m38BkD5372HdTU8\/\/dLu7Zt+caDn1MGN4rb7ceWMtbf1ObENdD828f8SSB1ivEdCYDyOQuxO1xSXa0pmSWGWVNGZKhb38kLGoV9hMOR07V7z6OMvvtHeLQ7uu9sPbv8ZOSB5nClFUHzq4D6xVbBlzLn\/oTuvLyoqLCr51qKH7pffWuw92ij+EFec1j+3r7XLy2Wd+qh19ya39ivc\/IOjx188qLXzxvY17scPyHbo85A1v9r9dtcpquftOvz8qif2dVHS5\/u09xy1ztSj0NbtVOxdrikX\/tSqZ97W1gG8GOv3i0NXkWb2qX9\/17\/zx39V1S357Fzvp9pPAPT3knDxCYXK4v\/uXvfz7Yc\/OsUzwytDNdSPjv1cjNDQrOPubccU5bq4cKXjJz27n6IDF2qfwt\/8rhn5X6CEz3fy6JvvS7XZsT+\/yTn4WM7XYvRTdEVRvMUPga6D2pccvIff\/CikY2ZeYlOLMsHV0v6u3z3xojhFCVp0ngv6hGEIW+5tfWb1uiB39HP1A0xLK8u56itMWFHrUVWlU39+s11kZeTNMPsUkLHPDh54m3sLV+E10229vWfVTtB7atZ37ucLmqoVP5z1\/6Fr8+B\/+4B28nLsz61cVnDBrt+Rhwv2eP97jbJQoPPZp9f8qlG6yu72N7aveurg3\/TVzYA\/\/rp0l\/pySIPA+BKIbG2g6Pi3g5v45\/n8AUcP+h1r3JuPCidCj1VhrvIZbWnpjDHGzExD+qJeX6\/yhdBB8XDm0nSSc3Iyz\/JWulve7JT6nG5T3UROTqq5ZNXounf\/fNUzQWubNbJRKUmNM78kTlF7Pa2dg7RYquL\/bs1X71q9W3hOaw58bcC74mt9UwJkzHtU6csX8s1cnt0p1oozbr5GWSx2d\/MTGusmSNfuxjWrnt7b+hEfLp+3q7XxV2ueFs2pUPl6icpRCM2hTBHI4QetmHx8wC0liypK9Ncu+R2NjC98Scmht3eVj7ucX\/3eQ\/fNLymkteicBQ88tEB+7PXR73bLrwBTSRF6WzZtOsQPw6n8D78lvuch8pVILqG\/PGP+tQqVnr9yKuJu5mWyePfHH4trRNEjoK4ZOl97\/Cn5lBTT79Ent2\/\/P48qz00lRzn8omkmDULbI\/hosa3fgPxu3ZodB9tP8lLd7+5+ajUdmvC08tNgZoYgNy8kOXQCm6Bw0l5MDam0ZwnyRWQp3DvJatw5KRsHUtCwY6qVJkYnM58J9Xztu\/+P8Jmf+SPVhOoOvTixpkHwuecUump7JcoU6ngPP7Nm027PSaG\/trI7N7XklutcXOHOvZtf7Bxknb978SjfBrL8m+ZkCEmIEoTAeByFdL0hfops07qXhPu\/KL\/EcOY9NPtTB3bs5R\/N2Fziux7l+VOoTm\/na88H\/a1Nr6ddLsK\/MqtcPh6oFIXMObPkbv2j92gHdOyVFwOn9d8qyhDn7937ntlNn6x6Dzy\/j7fDpuSX00H+t\/L5X\/D2dr6ygzuyYy89Lz5JZvaLc\/Kvys+52G7xW1i9vam5c26ePydX7m56W\/+7mT\/lSBMZrsjNEePg92x3\/+81mxrf7B4Up0UuO3Nm5n0lQx4U2dN5K1eII38m\/33S3S0\/7mBsCGXSrsjPkq0zV1Z+\/lV59IGE2nFn1jXzF9w6X37C4Pvzr1\/kw3Jq7\/N7pXBnZm7+VbmZF\/X28sWAbNhZdM0MoZXv8MFjPGvw6EGxQ2OZJbOUpzPPxgsExoqAMBlf8xvHhAl0HjjIbV1kqi2eUrwEs0+9qnz+9bnceFmvZ\/tzYl2slvrL80\/t4+tIe+4Ck0WnWkp9t7Dl44fFmasr\/7YHq\/5tQS75kMFu+QFmGCtTv8zM2v90UHzzq7v5z7wTLHXGrEISobape+\/8\/d523l9pZhnTvyKN+tTBx\/+3+7Htr3f6nPR57hSXUxinrp6aJD6D7QffEK31HpanKowy1fvM85ykwexTc6+fU5KjfIVu71bxSyLvvvj8u8IL2KfmXJWfT3eDXJ4KPLxb1tpCIs4JxHD3IlsbqB3w957lj8H83EynMJbedxfIoUcAABAASURBVF98VfnKgFqEHsHKQsL8eWrti5yZX83JoBMNkpSaIc2Kkrow\/ZpvCDM\/7TlGaxL6dPbdY8JNsNzCIicLa3R\/PXpUfLMg8\/oHqlbcMyudpPZ6dh\/g\/o6SgZAx42ti5X\/64C90f20RuG+asvCcYTweC7i8w\/ILfd1\/ahZ9sc+4hvpi2gzP9L\/\/gegHYxkZpGi4Jlj30aOif5lzHlhRdc91VJz1vrv7gEDHZUX2mpqTn8VXlVTalUW+7qu0YopMck+3cK+MPvCjyjJ0etr9PDW1sGyGzrM7i64vEkPr73xf6MzLMHb69ad+LZaWF8+65y59eXlbjQf9nSqV9C\/wbsobGRni90n6e\/vkNeLoExikByQts+kBydv2dx4+fJLRjMq\/Sst5\/cD7\/Jb66u0dmJpD00y5z7r\/+4UDp+mgcC9tQHgZm+p\/zuqW4QGfw5yXl8wP3rxMNZnAXJLh9bfWF8V2TPkPK6bmBPmiK9LIO6k7hylZYuNw6sAm+RVa2p0Uzbk+P\/MiLrK37fnn1E90+DU71a1YLO94iCmJIoaIXGv4xYk3LA1nuL2Sr6dbLFwMTTKWNuuem8Vu8PTBTRs3vfAnvjNzFd81\/\/KQksiIawI0+6Lev9OdrW+3tr7t4f8FnT1zzqLv5eseDhFpQ5+KiE+AXYUL5n9j+vSvFM0vy+eL\/8GuY+IJogg57ZNfO2U2ww8fOp1y5cH8A\/3HjopNDJtSsohO669f8MN77lxApx63Xp\/F\/L633xQH\/K6i784v+sr06d+YX\/5V3g77iNppbZab\/ykl9\/7bPXfecec9P35gjvhoRWk98JZZft+i8mtKyhfdoxTo+uCDwF3GnEWL7ivPEg6F9Xd79m1\/6tGHa588wJuekv+d7+R\/XhT+fP58aiXooMGWMeu+R+rr6xcVDKVM1qw7r1VOgzKvvfPOO76TP0XteM6c7\/1D\/vSv5M+5qVA8Tnvb3+1kPc1HxQqF5cx\/6IFFd96x6IHl38tVoAltvlo+R8jzv3uU9qK9zYc9fIdmz\/2HkqniPiIQGFsCX5kxgyZkf+tROrkbPPYGP120z7gqN9Co6iXYV+b\/yx1zSr616IeLF3DTvvnrU\/sDpU591CWekRnX3RRuLa5WsLBlxcP4Pmg5euxvObc+KL6dcQt9rBrWytLmlBfYueSu1qPkqjoPHv6EX029ds50U8esdJOxr5SUiCPRrJseuLNQnFaQs\/ro8O7N6x7+X6u2y9MKLsnwmjrjKm60XW1HabF+6o2D\/FQlc8YMIUoWPdYivaGr5AcPLfpW+fx7HrpTavjJ0cNdrLX5qFjQ87v33HHnnfc89MD1U2VFHqvAh3DLvGgcv9C1iUAgorVBoCM5N\/PH4J2LHnjoFvk5fu+xNuUrGmqhY8pCwvR5qpqGmS9y5d80P19siJkrfz6ZVanxw4Ssb8j7p461keH2HlV+imJGyVW0bW6T34YzN7pkZhf6ed85eLjLed29wi\/dK78VK26IqKtxzTpxHExX\/pN7H5enIe8fEHuk5\/bKXTzdCw4WnjMsBzZ1TtkMoVJX65+pL50HeczYxdfN0f+sRqAhz3P89xwrH35SHBbbMuZ8awZtAMOhpro2etE2svXgnz92zpLf\/w\/3RTlR2hhlld55DXeWlJ95DQ3KTWIIIpE8OEB1DOHUab7FoswUKYFSMjiccm06cFZ3cNElv1dizy\/\/VqahvKz1rqDyHw8\/\/gYxZCx9znf4bzrIe4jHn4C94M6H7qFl9j0P\/aOyIHH9\/aLgHN8HncqUEOoGHqn3XyceqYOdx97t7daW4Zr\/+Sfpf0QlptralJLQzYv5BJb1dLG\/p72Vb8doR8b\/w4qs0iBfNCuLvFPADvjGgSkOR2wNFpR\/684HflQuDMXv+XOrTjDLuO7+R\/6zvv7uGZFpMnXIxckQNKaE3Ss5cxf8O+2VTH7rxFl8p\/xyVm+7R+y5Su662eiB9f1COi4JmDraMe5pZhHfkNw6v+RyJ\/N37X3MHfjNjghb7lUOvH1\/+pV7pZuH55VvenvVRw6XNMWlLPKND6feXmUvZE9J7VPSmZfJ6e\/MzC8qLKIw\/Qt2rZ3Dm0UrK93b28RegHl9p\/0DfPPPGFVUKGbk5wkvxtvWv1xTFT3EJxp0Z3BASqGkDPasOfdXP1Lzo38uL8x02Xle7\/uvPLVVbkv4pfkrd853Lhel6UwnUmU0SWrH219ZJRk+rnxY5Dt9ip1jUsOpWTlOWcM5I\/9\/yJSMp5YUi8PU\/qMHmk8dbWnnuVOKvjnsL\/jweniBwLAJ2KbPyKfJ7z\/6xuFTzeIHU1PzZ1ypE6Na79QvXybn8NQcbtdFhTPUzyh4YVe68j2wvVsCPz7Hb5i\/LGz5qgXfy+ON+Dx7tz+1yr3y0XXbDnudpF5YK2Ns+rVFLt5Q18EDnZ1\/buWLI1vO9eKTTJ4d\/OqV3WS6T1BtrvxbH3rkJw\/dc+uc3HRqjjH\/qcNPP8G\/0RZcV15N\/cbX+apFtHZA\/GBq5owZep\/Vp3ynNvMy9VOR6V8RZi4+5FG+xk8uT72bcVWeqC7Eq8CHcMuiLCIQGE8CEa0NNAWnXkZrFXHl\/Ea+tAf+lBQ5ahTW0lXTCO+LVFEh71lfF997ZV3vtvkGPcfEH\/PbvzqDH5iqks2NLr38e9\/k3yrtPcnPSd3uR9f81+4PbNwxBdrofHHT7\/lXX51fXfDArflOG6PTkHU\/f+65l17he6RO5xX\/QziWQAUlZeE5w3Kgql+9pkh826LrTwc633+zlT76ZiznH2aJj2HotiHYnaqyzsvn\/POKB8u\/QAXCN5FR\/v05os\/dh3\/3q3XU57VP7e5kqhiqPuIwcslTpwg3z5iyaNRU6OuVBycpkxxaHrs4I8NGV\/7WF54+Kn5ehC6Cgo5K1jf\/uepfyy3oBVXCRdQIfH6q+lS85EsylXKRMgGYmtMX9PWOwAM3c4bySOV7mUFlGR7wP1cp\/kf0pa9XbmRoDyKu9ZsXkTF05MotF9sx+pToOrkDGqKO6nACWwP152nY\/9er+2pT7pxvZ9n5NB5CnnZ7yMUJG4KGJskkMbX4O0Vp5n6M0WfRt2p\/hOYsumV+1nDUNmkMWROQwHiM+ZQcOmgoKiyZf++3xZFp79E\/BZ0m6jH6tKMN+cTQ32NM\/5M\/8rd\/fni97qHgzM3hC3\/G\/nJA\/Vt3Ub9r7wGxc2dfyRcKiMx+1TP5e6lRHqSX4TenliwWH6fIn\/Dg8Q8Df0l2+pQ4madyvR+fUJN0FXlQWuz1Z0yfc+sDVSsWyO9f9Ha2q18xi1jWCJT5ivwVW10HdX8k\/Detc6yzK\/grps7CWfxjecbaD\/xK8sz8+6DvrESsNAqCwEgITC8W5wh\/2f3E77k985\/PMBMzoBycMtbv43Z92qfs90XhlPzv3SOdRs\/ep54O+tMZcT9MpL\/lnHFXzSPVD\/zzt0pyv+yyD\/p97bt\/sVUnzcrK1G+M+9qef\/7P\/CTEftUsi2+nnDp4iHeTTSm6Rv0E1e8TPep1XlZYvujfHnlA+UCp+4P3xTdd9ArK9JTCEv6r6b7DW58+TJsQW05JkVyqydta7DvlVdKdH3WJlN0ZWKsH7vZ+1BXq8oZwy0IcIhAYTwLDWhuwv2nmQI\/BUHsI6oiVpYtC4X2RKGIaZZV8Q9jpR8da\/\/Sm\/AJm\/jem64taGV1m2YPyqLQoJ8Nu89OZyDNP7tbtWJjv\/Q+432FTS75VlFl450N3zeB\/SNhzVHwt1J777XKrjcEQntOSQ9asvxfLstOtz28\/zJtOtfx7QDokmb\/8O\/LPh3t9A5+X35zVum3VRGb5gz955KF7Fswp5N\/29\/d2H94adDpMTwFFhtmqUrll+jaUZF5J3ev61RUlZWbl5tjpjZ1qbtQ9FFjv4X2CAHPlflW3cM2Y88N\/4n9kyXo9zz1pdkD\/lfkP3SRP5Ho\/Hfg8Hy8uXHl1yz\/QsaWIFpVMvMU2Ad0jtVN5pDqcTlVnnf\/5qEv6H\/WWeA+3eREFrKOUTOWj36LCHOFirIsG3\/mbtjXo\/aBLrhacAY2Dy0Z2Feni5G8Bb2xKI7LW9KWO7dqrUu1tPaS3UH0ppOOZwHgchSg7f1\/XoaPKd0yV0z4d6MwvySdD177nDn7k8\/Uce\/G\/PYHbX5ieO4VfnWp5\/dig0+X0Hty6bt1jFDYdDlqYTy25Pp+7k8HuvY+vembf4cPNhw\/+btOqx\/kvfTDmnFFKm47cfL43oA397mfe6PKdbn\/l\/9Tyr5msfPSVdpbxVfnzHqeOvnFs4CLeztO8lXXrnj58ypZzxZe5Dqxr96+2He063X3sd5teDfn7YVFiqOij3evk9zL+31c6\/czf3+eXZ8EOsftwipixU39p7TodtIvTyY1AGYfyuUjXO0e7T\/v8g1rHD77udbouGjj22ycEw3WvdDD2haysVC7e3\/Lrp\/a1d5\/uOvz00wdp78Tz1Jdt+jWF4qhb\/nEsbauuGZYvVeXgfSIRiCVds0qK+J+k0XEAaeXKnxH8qYbqJXx\/ev7Fd7t9PYc3SStbuUn3v7NQRXvmt344P4cSrPfd5574nfpM5BmRvuT\/jPDo2t95C+cv+tG\/zxcuxd\/d7WNhrYyLV79ddbq7m5+9uoquDdrh8CLy5dktf605M3Dg2Hv4OflttVVPN\/voM5O\/9SlLe+dF3O3JesGxs6gwl3L85AHoLWeG8I+UUkLuVwUI1nXg2d3HenxdLc89L\/56lqXmz\/gKy\/kfYg9DLu+\/njv6ka\/73d2bdonTGVlbBT6UW5alEYPAOBKIZG2gqec\/+vwmvg756PAzzyrO47LLL9Nui0RYS1dNw8IXOZU9hPdYK612tB\/\/E3JllPH3hcL22l95VVicq+gabsf0pJ4eZi3kOyT+q7ef\/qo1bc6Cex68t1g8rz\/5WO\/jXJNFJjvV+udO\/yBzfqW8\/Kuq93BO\/\/oValrqERSbes6wHET1qdeU5PCFp6+7hy90+BE2vxT3QqOLSub\/g1hXfHLg+Sa5vAvbhE\/893YrH\/1V29Q5t97z4A9KRPdOfXySsfCrypCmtRXTsZZun8\/PwkjW181ISxeXH3R+IN5F9NU514lcesSsevLFg820Ft27fd2q7R5OgH35OsOHSM6CRYvkYFkc0DuL58u\/tj7VFPwDeay7Sx50XZwhl9CieUQxTqBr769epAcuf6T+Thg4c112uSvj8iw7V9x\/dNtTe9u7feR\/tir+h2cHVhcmmxcqYJzAlBUaemn5pIb+0NshOaor87+9\/Zk\/dfl62vc27JYaZ341zxVSXGZEpAkbYnEyFA3GnJHslaRGuvj9F7f\/mX905BReuPfd558L\/P9WumJIxjWBMI+gMev3X150iz3Jupfa+QRkzvxvyKe6rsX0wiJ50NDb\/uJjbvfPfnUw6AsSWeXfVk7Ntz\/6cOX\/enxvp4\/++bPmlHxBJ4RM46o77\/km\/7Ik859q\/d327c9vf3Gf5xR\/+tgzvnnP93jEezWVAAAQAElEQVSzzqK5c8TXEXvbX1rnXvmU8r\/Mfvlb5fTRa1b5d8SyoPfd7asernz4SaWdy\/6hJIO5Zqm\/gNX95+fWrVzzq32dvSPDefms62Rnew48Tq3QIYz4a5eca8W3Rqdcdpk492HixOS5tqAOqhcRKJOVc5lQz9fy3JqVT+ztVjs+2H3gSWp11fa3TxFDn6NozlV2xqaX3yCWXqy3\/XdPrVm5bnubL+jnFUXD6kfa\/ML602x+d4K\/oH5sEsgo\/IacpYxlhv5eb5biJQa7D25e4\/7Zdvk7Qs5vlM9JM3THWXL794RDYd3\/\/VzQN8gMBS0uc76R7+S\/Q+55ceXDtXX\/e7s4EnVelpVBT3fpXsytjItzqt+u4hcmveDZjD4\/bDrKvWXQgaOz5Dr5o3q9nufdlf\/x8K\/kscWUkuvyZC2z+KqSGeKUk+n\/0EYt6Cz8zhy5ZO\/c+6ufudc9e7Sb+yJn7oL5023MVVou22M9R597zL1m895O\/X9hw1TgvZ7wblltDe8gMG4EnEOvDXS6febh65DHtss\/6OC\/zlBoOCMI\/zxVTcPcF7kuy3Lxxga7dtNq53mzL8mmzcgXrs7fz5cvrqu+rp77qpLNjI6KZfJvjnUffOp\/17prf\/EG\/xIG+\/IVal3eJssryhdd6X798Yf\/o7Ly4VXb27in4fd6W59b99wx07\/R4LfpFeo5w3OgKoyc4iy+xhBpM8ctb2hxRtnN0u107XnxMFcmbBOuGV\/\/sujzG7LPYutoy+R9Tg+\/qtQaVBKXKaddvqPPrnE\/ubc7jGSlhnizTZcfkvn\/4lE+6uPZGeX3fS9ffKul9\/2DLz5Pa9Hdh7sE54vyv7fI+OstVCPr5kWKK373xeeCfpCSblLIKJdUBrt+94L2f4IxdtpzTCyVXTnTcRRCmCZK8J88SA9c\/kgVk8L51e+Uk5Xmln9Lbg1623c\/tcZN\/kdYsNop1RBolR66eWHMOIHVavr3U4eecovtGMVPqD8YpC8QklYdzqCvdcc698+e2v0XoXH6nFuvnxpSWMmIRBNeNOzihA1Bg7GI9kq8ncBrsOuV3wgX4ZzxT1WLSqbQHb9nxzMHuZ+hNEKiELCNb0ftUzKLbv2XO68Sj+IgVabOWnTPnMuVfPvF+QvK+LmFVsRZsOjBRXNy5O9qUK7dlXP9PQ\/dla9UoBw1ZJY9+O+LynPT7WqG3XlJbvmif3+wTKwsKDez\/IH7vhMoYLNnXLXgofvlw8k5464H\/\/n6oHbm3POQonDu9x68oyhD3Ve4cr6zoNTSF1A71mHqrPsfWnBVhlPTMTUj\/9aH7imWvcmaf++C\/EsCN83lDKmMs+jOxXNypmhtMEYd\/9cF+RoZm+i4+nenU6+7\/\/4yteM2e+Y198zPDWk5raRIforMXJafZodUQgYIjBaBqYXixy9oLufNCLU97iXuKFF+fYealF7iNrOvXVw0Y9E9wuQHu\/c+tcn8L7RJglXILP+hNK5Bfy99qCtM6V9uFQ2FtTIuzzb9Gvk\/RDCWU1wS2gtexnvw4F\/4u93w5zO533voHr1RUw\/n3PNA2D92VX5jhbHU\/BmhFm3LLP9X7ou0v\/LlEsnXyt8Ask3\/3oN3Fqkeg2595xYBjavGXxx4ZG6Zl8YLBMaVwNBrA0W9qUU3z8kS+1jKcF4+5577yk1+zzKspXPTsPZFWTf9MGgBQM0Yw9QZeeqKhQV9A45LtjI6cms\/kosHfy\/\/RimZ7Jx7DBtvZ\/6dVEY1at4slbr+nx+6bxb\/iOj00V+FPw2hJgyeMywHLp8+aSkRf9tIF18pKUmjt7DBNn3+t8Q6o9\/z6ivHeNFwTThn3PUvEmagz4vvmcVbGWJVySXrXs6\/v\/Oe63NcygKPboSRTHe14Mr7qhgpX6v6vx+LWxfNuHPFgwsKA48jlurKLFzw4Io7Z6hTS5RTI3LF98m\/le71\/PoJkwP63Pnlgorf86r4X\/94xVPNb3bx96AZwjPwimkCueW35svfP2fMPvWqBf9ylzz9mzrrvvvL1WU4S80ouit4GU6GYLl5YSETeHQQkMPhqw5t82XjG4cH\/x8zl6g2GKkm4RcnbCgaLLK9kqoVvXe99swB\/lv19tzvzp9uz5r\/ffElssH2Fzcp\/4Emw7\/EIGCLYjdnLKo3\/ntkxQMLCpXF\/4y75d1FM6ROF+WU31cjsx758Z1F31RqL1J\/K9uVW35P1SP1j9RUVVNcdc+3cuTJgaytj125cxb92yP1vKiI\/3WR+v\/aKqXsWbN4gf98pKrqkfr\/fIQOOKZqYGyu6d8S7VRX1Yh2ynXtuK5a8OBP6h+prnqE6t4zq+jbDwmFHyoXX04x9oix0BxFA9vUojseJPn1P+Gt1P\/kwTtVLLzAxUV3\/iu\/ScJF91WSdyuoeBnGwitDZZw55feseISE1NcrGtrTi+4kMqQ8kTR0nNmzvik6Thr95yMP3JzJ5NfnUpUvoZFA1us59iF\/j+CjHVEMEQhcKIHgyT9l1gNiQj\/wTeFGCkK8xFXzH6C5HeolvlCu2Oq31A\/PMr8jc+prFvG1aXCBUMs15CjGZWZKYa2McHQf+4v4rCfV+m\/m0+bIbj7y\/elUQR+UdlXnVnVPeU7IwjrjW7JnitVPv004gZ98bzr3chnlPxYEf6z+9p7wRY\/8Z\/0jVWT5FN9TnusKtOjKX0Aeg3j+hN+aVahAe0jFaO2WgwcuIBEpEBg3AuHXBprhLLim\/P5q\/qCnx3DNfSYmJjsQ3tJdVr6IKgujI+HcFPlj3cRYpn5T+gAqUjWfPjGmWmqwNjrGlMXDIzUrSPwjpv6Bl5FGvaJKXU1Nn3r5dx78T2qrvn7F96Y71ZboPdgxUgYzeE7GwnOgKt0ej3B59hnXFOll0y0ZZgSvBp3F9whV6mvUg+xwTagwaWGm9lltJOyq0tAoY86cb91T9RPRsnSPYSRLvUU8Vf0LoIO\/Oyg+MRe5FNkzim7ljyN1mVf1wK1F4kvLdI9CyKBfVLRItv6fD5bz05UZyuONzxAq7yxRqXwvly4ZGzy2u0mchFxcVKL+srW4gWisCATNmVDTiCRHqDa18M6HHqFHKt9KPHRH0VSbyKXInjWHluG0rqBtzk8eXPDVkuA5QMt0681L6AQmgTKoionJrUTiIR6yHmCGWcfrO2krIZdVFIuNgzaNg4DwsvLlNJqSzGZM87Fy0zTE4mQoGtyV6fdKXwhZ5gW3mKls2R5ZJD\/suXx+lYTxozn8IFhVEu9xT0Aa3ETupt3pusgeWQeoaNiSNrtLO+kMkWi\/yOW0qE23tA9RQ+oNMyPVspUIBY1EGZOO+w48Jv4Xu\/\/11EEf\/\/0tn+fVA\/IvAi+9TPsj6VNvvO4R5yM5xRafZkeoNIqBwJgSINOP1EtcmB4mpqQKtLr17t7X+ecSbIi\/mVfFWLxTDy3ck0WFIbPtLmtfRK2lhhVABaIDPKwWuAkCkRGg+Tq0+dCzNbAG6Pf5ek4FbXS1lqwsXRagpsbINMJJtjunBHSXihhjqj7FZb6aGtk60YrD4LG9fzjFW9f9AjS\/HMHLqgkhKmi8RM5oRUNIdhYpv2\/Svtvsb1sYS7V2rRegYtdrL4m\/onTm3yj+tvoCRKHquBCwu1zmWwma5+GdBhWw3ryMVV\/IY0S\/UeoMdTY8DSqDEDEBFCQCI3vEUUWE+CbgKvwH8ddG\/e2vrHuYDkXcyi\/SOmdcV6J+wtJ54E\/iI4gwn2bHNyT0DgQulEDv4TeO8r\/+xxerLpQk6oNA9Ah073vC\/bPd8scgMv+H+EOF6DU+sVvqbT5wVHyCkvn3hl8Lndj90mufUXan+KWPXs8Lzw37zy31giJO97Zseup1fsDkvGrBApM\/OY9YEAqCQAIQQBdBQE8ARyF6GkgHCDivuvNfAn++KPLtU\/Nv\/Rflq5iM9f7pdwfF\/ylzYZ9mC8mIQCAxCXTu3i1+BIR9pWTov5lPTEToNQjELgG7K+c7t5bq\/oIsdlWNEc06d\/9efL\/UllMSx\/\/lnC2z\/P+pqVpRVbXs1pyUaJBPyb71QWpuRU3VHeJDrGi0iTYmGAGoCwIgYEoARyGmWJDJCYg\/X3ykhj9fq+ih\/shPHrqzUPwiA7\/JUvK+R5kUHvx28B8ui7uIQAAEhibwhTkPSPu6y\/xv5oeWgBIgAAJRJ5Bx\/Q\/p2VfzyCNV98wy+QnVqOszYRoczJxzP19OVK1YFOcuz+50TXHxEP5vCUdp5Owu0daQfwY1Ss1NIDGxrGr+rdIWvpcfy1pCNxCIdwI4Con3Eb7Q\/tmd8nE+xfhHjPaL5KN3TP7q9UK1Rn0QmBAEUhUjckVluTwhkEBJEJgABITlDvXzGxOgH9FW0WbnpwO0qBiXXxmIdm\/HrT00PCEIqKtoOJIJMVxQMm4J4CgkbocWHQMBEAABEAABEACBRCCAPoIACIAACIDAcAngKGS4xFAeBEAABEAABEAABMafADQAARAAARAAARAYMQEchYwYHSqCAAiAAAiAAAhEmwDaAwEQAAEQAAEQAIELJ4CjkAtnCAkgAAIgAAIgMLYEIB0EQAAEQAAEQAAEQGAUCeAoZBRhQhQIgAAIgMBoEoAsEAABEAABEAABEAABEBgLAjgKGQuqkAkCIAACIyeAmiAAAiAAAiAAAiAAAiAAAmNKAEchY4oXwkEABCIlgHIgAAIgAAIgAAIgAAIgAAIgEB0COAqJDme0AgLmBJALAiAAAiAAAiAAAiAAAiAAAiAQZQI4CokycDTHCeAFAiAAAiAAAiAAAiAAAiAAAiAAAuNFAEch0SOPlkAABEAABEAABEAABEAABEAABEAABMadwJgfhYx7D6EACIAACIAACIAACIAACIAACIAACIDAmBOYOA3gKGTijBU0BQEQAAEQAAEQAAEQAAEQAAEQiDUC0GcCEsBRyAQcNKgMAiAAAiAAAiAAAiAAAiAAAuNLAK2DwEQmgKOQiTx60B0EQAAEQAAEQAAEQAAEQCCaBNAWCIBAXBDAUUhcDCM6AQIgAAIgAAIgAAIgAAJjRwCSQQAEQCC+COAoJL7GE70BARAAARAAARAAARAYLQKQAwIgAAIgEKcEcBQSpwOLboEACIAACIAACIDAyAigFgiAAAiAAAjEOwEchcT7CKN\/IAACIAACIAACkRBAGRAAARAAARAAgYQhgKOQhBlqdBQEQAAEQAAEQgkgBwRAAARAAARAAAQSjwCOQhJvzNFjEAABEAABEAABEAABEAABEAABEEhgAjgKSeDBR9dBAAQSjQD6CwIgAAIgAAIgAAIgAAIgwBiOQjALQAAE4p0A+gcCIAACIAACIAACIAACIAACOgI4CtHBiHays+nZXW2nw7Xqa93V8IfOcCUiv3dy\/4b6jYdMm\/uwqeHVNl\/koqxK9rVtW7365ffEbW9Lw7q6mrWNPayv7TerV\/+2Q+SOSTSalMZEwXESmtDNelueXVtXu7bx5MSjMOR87vugcePqupqnW8azb6fbKehKaAAAEABJREFUdj3bNDq+KYxrGk4Ph+Q2HGEoCwKjTKDzDw27WkMes17tQTnKzUVBnHmPAg17Y8EJ9+zbUL\/pUAj3gJZRS1k7KKs1klV+1FRGQ6NEwNfZvHtnw7Mv7z\/W449ApL\/Hs\/+3DQ07Gps\/vICZ26dbkBsaNV\/zR8Vgw2hlUFK57LPYQVjlU7Uwt+hulIK1vVsqMJRHtaw44hsjUHI4bQ29yQ2WNm4DNw5HId5966uq6l\/+IJhA2KuWp6tW7+4JW8Ts5ltbqtbQVtzs1ujk9TSuqdry1ohleTta27r6DNWDZPZ1tbV1eA0lhrg82bi6aovZJulzzvSpaZPMans72o6FKGJW0CQvCLLdlZaR5uKlWn67zTOlbNmPytIZs1+k5vI7o\/8KohSp+CDOukpW+boiSMYAgSHcyFsvbzs+teyBH5VdEgO6DlOFoeZzz4Ht+73T766+o2CYgke1OGnZOlzfFFAg2KVbu6ZAjaFTpNGwveXQUlEirgl49\/PlyEujc6YXnhQ9ZkOf9\/oHZfjqMXjXtEcBPaPohIP9SfBDnLxLWlpKQK1xS4VxUIE1UvD6LZA\/blqj4QgIhHcjJxrXrtrc9Mnnsi93dL60duXWNuOqP7iFvre2rFy308Myp138adOv6tfuGf7eRxEYWJArGdobmW7omj9KBmutlaZecCJgBSeDdjeB\/ODydBXmFt2NPAQ7lsjr8ZJh7J3fNnvRsIQ+I8wKjlreCJQcou2gLaHXbJMbTsBoDVy4Nszu2cwyxzSvs+lwl8PR23zIY9mMv8932uc7oxye+s\/4einZ56PMPkoM+n2n+Tvl8zcppZ\/f9fXzC7\/Px\/NJyGcDbDBIFGP+vtO8pH+Ql9S\/SJoiX5ShAiRHClSK8XZ9lK9ckixqaJANfBYskNqlJlTltcJUXDTNVdNlGpPUaF+oTKGS7HVQBaGSz+dnlEsEqFHK8ZGbHeglHXwEi26oIX1Gxa1zcxzqpZRpKCNvkhCqLiDLDMZzuOY6SuIOdVYP2ZFz\/a0VxenMf6aj8yTLuiLXzkfOkTP7tooiOhIRVSgiVUk+aUtpXaC+0xDoCcublM\/blheqJvKK6yMGXVzKwQ2UFZlMKO8LokSDYTp2VvnUTTOFFfl4GwcCYd2Iv6\/j\/W725excWy+fTjTf+GSj6aGbG5RJYyomjzbBlOnE55g6YXjXqCLZuK4uz2RMSuCS5TUvxptTr5QpJy61JviVrCia5pf0ohwuhyQYW+Eq6S2RT9H2zk9cOVek9erKknyD7fCK1AT1xdTGqUXqPm+Umieh5Cd14ijjjE\/zwHQV8F1kC0aBpHaIY9T5Hq7JaeGThc8hRJTDHYPm0gOuSRUl1SP9hXZaRBWpm0JRtaR2L5Dgt0y8pWg9KJ9a0QhQJ31SSSHIpJtUgijpsYiSilgdARIbjIiPjtYXunvap2MrJhJXw0pt2QriMSHQ+YdDfDny5iFPyJIg0J4cMjGCNJRi+qk3dbfULPGuyzdWEfdlFPygpOemjy85gmxWNyu0OUkFhE\/QmYOQp2tUXCuRLMYlywwqxuebvGBB6mlNiJt0i8yNDFZc8YiLIg6kQPAMp3u8sD7T4ISpBAWSf9oXNPmF+fAmSCuSTGX0waQ83ZZMAhZHWun9CWmiX0SlF1TcVi4WPqS2KTcSyYMUK4aX2tX3hd9VXtQWMVEKnZY68IpKF06LEZRlSQhd6lDLbIp1QuiKgrpGIg2D1m9qPhWRIVQmVRGdkve5k1K04hkhDfFMvEadQHg30rZ3f9\/Vdyz7fllxSdnCu2c73zl0lBbppMSZjpYOmaJx6\/Qo6Z4Dez0Z31625KbZhf9QsWx+bk\/zIdOTWt3gqjPQYE0OZUFOTYnAi\/ksJjZVDVo1iQqkVuDRr8tRZnuwwXJ9RA4ZINkIL2NaxagVd0HB5fXPRDI1h7KDoKlubh2iX2RrMvAOqlVIAXIs3AZlGZJGWbpAMqkWr6I1GrhLPdI7FuWGVRV9vlI08EaitLWHSOsWG4FSgVQIQ+WWri7vkQZZl6+U5G9SpSD\/wLOVPRHHIi4tolAdeCs0xFKshGaoSw5KvyXU7tIoEGeqq+WIBBcYlG86cCGjJuqObhT1o5APW9p8uTffUeg81mK6+Oh7q6GubuXaJ9av\/Wld3S+a6DjU89r6xveZ982t659Yv+s4Yz37NqzaumNHfY27fts7tNH1NT9bX1O3mldZWbN2T3PjUyL\/+K71ezrZ6eatT6xf\/xo\/dunraNzgrlv52Pr1j62uqV2981jABzU+XlPz6FqS\/1N3XcNbzdtWbdjXw9pfXV2\/tVktxNjxHas37O8KAOs59OzW5tOsc8\/69U80HPqExqXPs4MkC+UfralZs9NzhjJ56Du2c3VNDW963cqaGl3T\/Kb+FSqTsc9aGupX\/vSJ9WvX1tW4G1pUmb4jDfW1NasfW79+XV3NusbmvRvqt7exTw41\/LrZyzobqdfPHiJ6Aemc27Y2ce3\/sHF9bc3KdevXr19ZV99AvRDZPPIeaVhdW0cw15Oq7g1NJ3imYL65YWv9yp+vJ3p1tURJgDFCbpPoPK8JMns3rBc6tG2v37Bf6DLobX52dY2bo177aA2Nb5dcgA52Na6rqVu7fv0Ta+toaI4L4aJlitpeqF\/7qvIs8P1hQ\/2qx\/Ypf\/XQs+\/J1bvepyLDpMTMOHMxofl9VmPKi+M1XgTCu5Hju7a+SUawb8MTDWSYPfs31D+7Y+eqmrpVYv4PWngMxvhEfbZhrXvl+ifWr11dU\/dkU9cnzVtU66vTLNp8GnsPbKzffFiZup6dK+tXNbQo07ulYdWW5s\/IWXU1\/aKuis\/\/tavrqrT5b9RQo3qi8bGV9Rv\/eMqu5fCp29jJfEe3K26NnWja4K7itkNuraZuw4EuWZb35dc7N7hr6p8iZybzRGyqvO\/QloBZUbHOXY\/Vb2vj5xl+zVc88dM68j+HtxkFsjZp9VRNhJ590gPThb\/T1LWauXQxNEJUw7Nr6x7lrmB1LfnzLhLDg4Uofkv\/svCW5h742M76dbsUz3K6aUN9\/WN7hZuih8zex1a\/1q4XHPpgorvmz5SOXau1oeeFmjevWr+fXJYpeWqL5ueWBlMnT7URxpJAZ8s7vtz5dxROamuhpUVoS9a+gg12mdoyC1MlRL7Jg1Jns5am17Nvw6rNusdx\/bZj3s5XVaupCzgBdqaj8Rd1dT+lBy45nJrVOzzcPUUy7U8Mz6vwz7Hr1+78v9xjKL0MdsKMWT1JufdoeGFDXa26SFDqs8gtLtifGB\/i3LvS0ojEGrmpyxja8H2orogsvRwV6jT1ZvTcIAeo81qcv\/cwf27Qemb1yjoFOylAYdB7aHNd3c\/Wy3VUkLumNVLI+o27ccqnilYAeaek8+SFpDLC4\/e1bFWGfiVNiT8onk0WQjyqBDrDupG+tK9X3PYP2UqL6WkZjD5o4Ve+d5te2vzkyx19zE8P3A3bDrSKP4ax58y6fd7XHbwEvdLT0+jTVkrog+XT0GBN\/FJMBhZwJuuNa35FsNFgmflDUz6jzQyWz9VXD71MK3naWaxbXUMreWWTxdXQ2Ti\/lFpZrV64zerWbFwyWYGldXh20X5HhLVr6+X6RKkS9vFqvodScPC3YMfCcyyrnGhcWyv2TbRNo4Ui97O8vPIKLOQisMoz7WYMw\/gfc5nmWznGAl34+cq6xxs\/CDme4DqH8f+6FTJtPJUdHK8jXsYtIc88sWetyYrO9NlE\/mu78iAwzAEuKOg1yheBnf0oC7YQ1\/lmW2\/+zILsgjxnyx9bQwt17dvddtnNtdWVldXVd+ef2tXYyvJuqbz5CpZWcl9lZWXFlbJKR6etorLOvfBrrGfPhp3vZc57SFZZXnpiV5P8g5IrKyrn57C0Ul7tljzW17Lt6UPOG5fXVlVWVtXW\/iC3fetGUbKv5dmN+\/uLl1RTm5XVVXen7d\/FD04Yy72m0PXeHw9Jaayv+WBLRlFplmyfx+ml995XmsZy5pNeS0rTmffAxi1tGYomNZXz0lu3\/Eq04G3auLU14+ZK3nR1beXNGa1bZdMs5J9RJi\/w8an0u7ly9Kr4smfb9haeebJxw472TCmzqnb5tSd2\/UEoml665AdcqZtJqXtJKV7W+Oprafiv\/QMzlR6vuCOtaY\/sMWMnGze+0J33A2qKBqC2stzZ+Mtt6olV56n0hdWCXuXNl3l+I06JDJDVlvJuUckE69CzZ+POk3mLpfiayrmTGjduF02\/uUcMASldveJGV\/OrB\/TP7YKCXF+HR+T0tR3vdk3xHT8uHhmnPcd9eQVXiFaHRYmlG8ZOiKDImG85plQWYfwIDOFGrqy4rySNXUFGwA2Tq9nRyb5b6XYvLKBHo5XH4OWYt9N\/\/b8JV1C9OP9vu9ava5m2lM\/X6uqlpbbmnXv5xtliGqfPyE\/reE\/unzuPtztdrnbPe0Loe572S\/LypjDP9o27zhQKw6uurVlSeGaXMv+plE5DuuLhTMuWX+5n1y75UXkmv1ReNEVv5n7tB5WVt+SxQc+2X+7qvVqIJLd2b2Hv7o3b1E2dt+NU3n217gfLdN\/IIodpZoNpxTOv8B45zHvH2\/mgpa23oPRqB7lNva+oXpi27zVhsLzQkK8+K9dq5tI1ad4PBq\/\/sRyB+wr9+7a8\/CHdshRF94KCqR+w8sD5BbmftSue5Zine4rL955HeBaf5z1f3lW5OskmDyaCY\/5MmV5c6PI0H1FWQ30tLR2XFJdeakFetmFQ+9e6I3hZAPFYEBDzfGZ+dkG+s+WweLAGt2K5umCWthymSrBsfhX6oAzYbF\/QYzrE9HSP42+nt2xdva3\/5hXCalb842Xdu3eJCdTXsn3zIefc5cKB1dYszn1\/y8YDXjbktB+uVznR+ORvPrjslmULv6bu36hzwU447JPU2+7ljmp5ud5RDcPigv1JusXDnXSioOOmLWOGQE21KPRZeTO6x5g34LUW53tfW7+2ddrSKhqP6tr7S+1v7mzkTkwUPL6vbdqP+Go1xF3z2+mW67ewAHlV4+vEvsZ3Lpsnh\/5uUqlRfgxmLIbrCycwhBtxZF5ZmJ2mNNPX+k77lJxcMdNdVy\/88YKMo5vXrl6zofniimV3FYo\/Lk\/LvjovU7WknrfbvNnTcpTa8m2IqWhiTX1BziRozS9FUhxssMzqoUklmanBihuHm\/w3rTDb6ZhVCetnWOiKyNI68ipo60Bh2bwcG8ssKhR0uT7Ky\/TxarWHUurwt2DHwmh\/ZL7tYqx5935\/yRIy+MrqFXMnN+9qEvsVLoMx\/UIuAqv0mjPsE\/7HZKPKTGVabeWCel29bOaJXX8UO0epqozDjotuhbyk0L9\/i\/optazKTLaEOt\/IV3QNjfSxEC2eTJ9NihT1LXQOqHdG\/T26RyGDnkNv9uYV0BIzq+BKl+eIeF4H9cnl+hz74K39HV4\/s2VXVLpvzw+6rV5kl96Y6+K69xxt9WaX3yZdCOcXCbEAABAASURBVLO5Cv+xLFt+EqsWVd6Pt3guKrzhauFqGLNfWlZ6eVdLK617PS3HnMUVc7PkB6\/2rLnzFWHs0tLiL3a1HRUT5XTzHzuyZ9L+ShEX+tbTfKTLqMnHzc09rOdIc9flZbepTbuuvq3s8q7mIzpTCRWmz7m8eNYXxTX17us5rKebava0tHizDTJFmUgiQjGp+JYb1R5fOvcWVTcu9orSuZdKFsxVNLswpa1FbudYdvF1ypbMVVSQM+j1no6kMX0ZPli5s1TU1B0S\/04L31pNcTlOe5re6vIPMkfJEveyoM0bX7p90tlOO4tBz\/GuvHnfzOk63kZXfcc8Xdm5uTbRxKhT4lItx5TfxGu8CAztRkI0yy6dO03aPp+ERjvVeQxXweyCyaK6PXvm19JYdkGxrGfLnFWSTVtlMmjyOabTOL2gIO1Dct70yPR4PldcMcPVcYwfLnQe63BNy0tjbUfeSglyNRXFKW8dUVaoAQ0Z\/zfY1fiLHV3TF96n2inPDH29c6QlpTjIlotSWg4rIl1fLytNV2xZrcq7b6a8o7CkoLe1hatL27w\/NfdOL+CWZe0rVIFh3q1da5hKzDXjugK5DrRfWlxwsc\/LHXDEokz9gJUHthUUTOvppA\/lqMvkWb59Q84Jj\/AsbZ4TObnT9Fq6TB5MBMf8mZJVWpTZ8dZR8lH0GUzzkY7MvII0ZkVetGJQ2+ulJ5O4gWgMCXgOKfM8qyDPdbw5ZDnCh8zCV1jZcpgqEXXEpdkszS6Lx7QQpHsczyzIHUzLm5ktTd3xtdkzLuo4zp\/aZDWuwhsKxUqJMXtW2bXZXW+3+Yac9sPyKmeObvnlIWf54oXqKkKoZ4jCP0lJyRBHxYZlcYbmwlzquBWpy5ghUEtpBNNiocjv67xW9syCNJbztWIF+xdnFV\/uUw5cGWMXl96sLiPtl86dm+\/X3DXdtA7hAZrVm+xy2T5oOcCX0oyW0nW355mVQt6FExjKjehaONOy7cX2nG+WaR+pOq4ozp\/i855Om3HdDGXC6IqzE41bD7DSGwvlA1G9M8RULLwhxJoimuGqePEedttiarCi2vSyimxFWdfV82Zdou10zKqE9TMssCISkoeO+tq272i7eO7ts9RjJ62K2eOVb3aGuYcKU2Wqy+E91tRyws+Yo\/g+97Ib1NMYw0JusmtoqzRnaD3ok12hMrmqZls5nj9kr8OOi26FnFWcnybXZxpps4TON\/IVnfcEPwqh7tCUCHk2GeoPew4Y6g\/j0jaMshde9HhLG8srmM4FZRVdndbR0ipWi\/xaeblKf7Bs7pS2betqaurWbtknVqnKLf1bilMxt+4eL9MueAlHZsYU\/m549XSfYqcPbazX\/q3d3+Oysz46WTjF7A5Fmqj0pS+qsziteGZ212H+vyR4\/9zSnV9qcEiitBZ193xi0MSZwnp6TrLukz0sVdWXF3c4U1nPyW6ejOQVVFepwLsdlO\/IvETu2JQCYd44ilSHU1ciU+0xF9uxS2NUX9\/QxpwpZN28cBBmnjHsFxff\/qpO\/LNtbJIQfwWdiM\/o27+xrqam\/vGdzZ8Ei7blXpndeZw+6z7u+eDy3LyvF+R2HvcMMs\/xzuzpdKwmCqfqCYscxnh7QfnDoCREWI6puItonAgM7UZCFAtMAz4pgqayI8hj2HWWkULe0Rb4uT0HGTQ\/NOESzKfxJXQw5\/GcZN53jrNpebkFBfb3PD2sx\/Mey\/1qOuvp6h60B7kah8M+2N1FR5ukb0BDumDseNN+34yKBbl6zyRuBEU9f+1mwbbsdNipISnSruuLWs1a+ekFeWebDx1jbNDT8o6z8BpuWWF8hSrQ+p1Xtgf1N+BarWsZvLEsGLkoA0ZRPYwHzp1OnsVDXfa8f1nulYUF06SfIc9yJT8JEtVFZPJg4kqZPlMYS\/tGQWbHkUNe+rT4SMsJeYZuTZ4aMFObshHGkADN82Ms7+t8nrNLi\/ly5G3DcoQPmbmvsLRl6yqR9cSu2iyfXcGmrT2mhSSdXsJH2clZiRuMOR2pjD5UYFyE99B\/BR64a\/fJRQ8LP+2H5VW8h\/d7Lr7+9lnKxySKCsa38E9Se5CXUOoOz+KUSkO\/6biphTmncKhFOV4oWM8gb6a\/lcLHQv\/ckMMhxLD0DHV5ya+nprnYoLLA4teWr\/AAzapNKV38wNypbdvW1tbUrduy32opbVYVecMgMLQbUYX5O3f9YscH2bfcdrVDyTrT8fIvNram37bsnzKP\/tdjuz7UzwR+ir7ll03sH26fKz8KVeowYdf6+caY5VRU6vDJO+QMV8oqb2EemowFt67U4G9pl+j9QFraFOGI+B2TKuH9DBvmM7GvdceOY5nz\/rk05CCEmYrinjqoCUfmUHuoMFWyv7tsYUHfvl\/WVdXWr9\/R7OULRd5t40IuAqtMM2XIhzCYoTboZjK5qmZbOZ4\/VK\/Dj4tdfUKJ7kUS2U3cO++O+bMpSGKQqkF3Rv3CNuoSwwhsOdzi72\/ZUiX+rdvvHez44+GQT7\/s6YW3LK2scVffX8qaNm49bFidGMRnpF\/MfJ\/QklPNP9PVZfZthfQvZLCLCu+u1P4tX\/bDpXeXpLP0zAxb8MFW54dyI0ESHVeXFvQ2Hzre2XTYJ\/cGlGkRQjThn+xlZl3KMi5JZ6fFR5tKTf59isws7VxYyR3WW4jMvq6PQkhaSOQofN5Tmq0y1vmx0mMuNqtsmQbpoeVLf7h0nji6shA2rGyOKKs8IL7ywaVLl86TH1a4ps1e+EB1bc2K27I\/2LnxZfnptCrdkX9lVrvH43nbk0lnH7bcaVmellaPpyMr7yr1oaIW1b\/z7gSRHwYlIYcrHDS71DEVdxGND4GI3IilaiFjauExLAUwLsFiGmcVTPcfP97Z9q6Pn33QyUh\/y9HjnuP9eQWXMhNXQ9MpNTNLvzTWWp1WNu\/Lrds2Hwo8U7VbukSoLZ\/y+uxfMhcp6oVRPrf4amdbi8ff+seWi4tLSWFSmdymha8Q0gIR33opV6SCSIV1raJExNGFiQrxA17vaSY9sOOqvKwOj+e9Fs+X+dmH8CwtHk971pX5Rs9iNz6YOHzTZwp1a0rhzCv4Nwp7DjerZ+hhyFMFhKgToHne72\/ZXCX+rd3\/Ces43Bz8EOVDFuT\/NV8ROiEVW7auMsz+8dkVmelZCuZKugrv1B7nlcsfWLr0zmLyN+GnfWjTp6y9SlrRvOL+xo0vhd9qh2AhXIyvjiyVpxvDsjgqP9IQ2l9tRRQQyWH69Ms4plsoBooNmfq4U7+26TrpNdsohEoZAuCAtpw77dPmMPGruL+ytrb6RyXswKatzeGX0qFtjkPOBGxyaDciOuVr27ZmY8uXbv\/xHQXak6WnpdFz8W0\/vqsg\/Wu3\/3hBRssrgV\/383+4f8PaXb2zlyy7IVPU10XDn4oRzXBdC5QM89Cku1bB+yH\/9rZ6l3+D3enUuqtmq++hWoXxM2oli\/dBz0s72zJvuqN4skWBkOyQDg69OwhXxebKvX7hsura2h\/flt25c8OrqpWHLOSGtEpzhmEHPVQmV9VsK8fzh9oTjea4hGBXMnh3zJ9NSoGov0XxKKSvufm4q\/g+t\/Zv+Q2ZXS1HdMcY1PuOnXVVGw9yZ25Py0y\/iDHVxfvP8EwqERzSZ5Vkd73e0PiBn+f7O\/dv2d+VypPKq\/9Tn5RwZWmx7dCO1zpFOeY70vDT1duO9lOpvNIiZ8tL21q84g45rN+29lK2DDaxPfjtNv5lFrE3kNn6uPcz+YQRmjTtONQj5PR37trceOrK2YVTWPo1xdknD+w4KG4M+jtf29zozZtd5NILMaRVmYbswKWQua9hT6fYgfg7923ef9IeuM16e9VfV9VlqklC4WzZ+Ru1x63bXnpb6TEX+37jtiMStb9z92P1G\/Z3qfUs3zXIliXkDY6oY\/c2Zb1JZ+SP16\/fx8X7\/rChatXODiJnd2SmT7XLIZOVROwoyMtq37OnPTOPn304ZuRnt7++p\/PLeTMs3SyvxrtzMgwlZsVZzecKdzWZjCmXjte4EIjIjYTRTIxpGI8Rpqpyi0swncZ0P6sgz9fycsvfxNkHyyq40n98d4vvyoIsuseEq3ntZflzFH5v85bftKRde734VJrfDnrZ0orvXlx8+uXHtrZI\/xJ0V7sQtrzrtx7h5fzew1u2taaVXmcuUlQKq\/y1xRmtTZsPezILrlY+WhHyTX2FkCajrOwveZv3NEsdevbtaeF+lW6J\/lq5Vsb\/vwwqFFkYQlR4IcIPHDD3wI4ZeV\/u2LO7I1OcfZCfye5o2vNBVl5gvSplmz2YCI75M4WqOApLCrrf3PHSUV+e\/N4BC0eeKiBEl0Bf8xGPq2SJthpxLy\/L\/NiwHOFDZrG6EBPSxJbDVBlm\/2h2WTymIxZESrJDO3epi57mhp\/Vb3ubnrKMhZ\/2oulIvcrknHn33jK1ZeOTu\/mj3EI3gaVpWE\/S4Vqc0Z+oD3ELjfTZor9DeTmCab1Q1EsLn\/6secdLirvuObjxpWNppdeFuuvQ9Zs1wPSsLIenabcY5EFf22tNyjC8t7OueuMhWsrZ7GlfTncOMjHw4ZXD3eESiMSN8J8sXbt6h7dkSeU\/Bn3NM71kyfK7lCeN42u3V96n\/Lqf70jDyl8eSvvHHy8x\/7LV8KdiRDM8qO\/hHppBBYMv3m\/cqux0fJ6Xtu735ZaG2ekIrSL1M4F2Qq2DebZva8mcd8fMsPuBgASeEh0MtzvghcRL23taV\/E1PVlV\/4LYwUzOTE+za\/tWZljIRWKV5gytB91MJlfVbCvH88PuiXiPRzguvKryGnpLSN2xeDYpIqL9Fr2jkL6Wlg5XXsGlgR7ybxGfaGsJOgvJnnvHbP\/e+qqamprqDS1T5s4t4pM7d2aho2UjfXqz5a1AdZlyzLxjcYn90C9r6G5V3bYu+oxCO2SYRtWObqyuqnq6hdmy5v3w9suObaypJtFVqxsHihcpJ4hZNy2puLRzx2ohYV1TRsVc\/W8UZdH24BOvK+gHU2XLFKfPmJntfa2uiuSdZI6Zdy8pZfsfE3LqNnouqfjR9\/O49pOL7753FvtvcaO6ZuOxjIr7bxc3SEJoCJIZelvJmVx8x6JS+x831FDvqNt\/vXreTLXbl8wozvbucldVrWlUvuyh1FHfCMXiiqyPlR6vfSPt5hvUHgtVBxpXC\/5C1cXzssLPET1ktQWrd4FoYA+Jr62pquWIltzEN4muktsqLm3fXEPNVtX99tSM75bxXL0UR17u57u6Pp8ruTmm52ac6HJOk1f6csHpMJSYFeegfKGw2ZgGt4OrqBGIzI2EUyecxwhXL3BPzAqTacxLXDYt+5Ou7pxpcgJnTc\/uPtGdPV1esayblt6e1d6wivuqmrV7BmYuvk\/7m1JeOfhlyyy797bL3t\/2063ylCH4rrwiWya31tFQX00ya9b+ntzafWWXyHvmcTjl04qvvryj4\/3smdryheRb+YqA+LSjUZGGAAAQAElEQVTSf5p32ccvCx3qNnvzCi9W7hlca9pNZaqjYWFculI5+M0gyuClg8uGXAm3ZuGBHXnTXF0nXLnTuatmjrzc9K6uyYqf0QkyezARHIJv9kzhFacXF\/Z3dLDCYvU3R8KR5xXwiiKBvqMt79FyRDFM3nDa1QVf4l\/k4Wn1ZfAV3tIK5ZeDmKUtG6oELUhUsRG90+wa2vSGkCQcjmdjbVUNPXBXc4ej7hYc4aY9NU0TO3KvMrlg4Q9mswMb1soNuZlSYvIz3epIXR2ZFRZ5w7O4YH8S9BAX0sJG1N8g1Bm33Kg5qkBFgwvSe7NAoSFT0+bO9e8Si82atbt9+d9fYnTXFus3S4C23JvvKE6hpaB4AjRl8p\/i41pcMfeOWf7GVbSmqql6siXtxrnFwsPxW3iNFoGI3EjPoV1H+pwp3j9sqVf\/bThgvjYXerXtaexMcbKOF9aqxet3viPuqJFhKg79NDTOcN2aX5VpfA\/30DSW1a7Trr0l772NdTQVq+sb3nGV\/c\/blZMerYQ+QVoNy89QXXPraPnj0T7W8TJvl5q22vhQdX2YHLyHIueu7aF0xYIci6FKYNvlKv3HiqyOzXx3WV33sndGxQ26J4t+IUdebSirTLt2bu47JgwNgx7wP6aWLobPZCtn2QVdn0cwLrraLLItofWzSS8reunw29zR1MMxc7H7oXm6CcLYlNKl7qWzlc8flbYc2WVLqtzuqhXVdbWVi0szhYKOaRXLavjnNwu\/xtglZcvdCwuU4vTmyC5fUl3nrq2pddcuv\/3qvLkPunkxfie3Ylktr3aXKO7K45e11dXVbhJdpv66D53bFX5\/OVWuraF2l8z+fJ+P6b7V9anPZ8u2+sHU9GsXV\/IWlovnmT3ren7JNamrXfb9wjShPCliv3S2uFFbW+euXXa7ulUoWEgfRYXsW\/Qy08uXu6XyJIXC1xa6H1R+UlQBVVNLmi\/\/fmHejVrJ9FLemFsrSfV40HO7uPD2B6ke16f63rLskoBYRVWCRPc1VfV1uSyd5g49ZC0\/vUwbBcYK7nIvL0\/n9ZiCqHpFtVuPyJYmh2DFv9e6a5ZVyG2JqKBGrtL73e77S5XzHj5z3EtnKVcjosT0nNVW+HtwvqJw6JjyonhFnYAjMjeinxL6tNDX0mMUBCYqL2isGLA+ZVYYpzGvlHtbjbv2H9UP+qbdRmZ0m7oZZjZX3i3LuBPgzqpycbnigwwNBS5pj1Htrr6jMPgH1TQr4+0x6dbqamuppcrFmlsz9EUUlVEY5R3Fi93uusWF+kWzla\/Q+4SLixeSHyQV6mqX3zK7QrN91a6lay3LLtY8noVLD+4a07mRYFFGLy16FuAmLllgvJji1riGeg\/My7lmLXW7l5ZO4WnGgv2MzBOx4m+DH0wK\/NBnCq+SNa\/SHfzIMycfRm0uBq+xIMBneuU83QczcuiXXp8W3FqQr6jIZz6f+gcNFrbMWFAV\/YKk4C7tOag1opvhQQ9KUSAS0+MFw1iN4nC4p6JFj+pwqNIQ0z4yrxJwMl8sW0YP9HLlt9hJPoXgia1M\/pAnqUF5qqeEYVlckD9hQQ\/3gBp6l8Ub0TUdhHp2Gq0BHU69F+TFg12Qzpvp5PByQWNKGRoloUlxLn8E1FZX1fKlTr6yhtHKkO769Zsu3wogTbh5S2ntSkvBuuols+aqPlaZh9X\/Xu2moZ8V8ncWpBnCBRKIyI2kl94b+CM1mVoyS66HTZvPU\/4\/FFlUxBXKf52plg+eirqnoWEq6i6DZniZfs2vCmVifoq9ksiyeGjqZIpiQZEto\/iuytq62mpaBVUunq38DwyGKrpLCz9j0KQgsDAL2t2o+SSQ7\/OUl9giqbeMndKvChQPQ4ZDW8db8nTOPdAng2MJqqLfdkm8NStWUMeXVeRO5hICvQgs5IawSq72jYXcAxgZMsNGtSywmjKXqQxfdXU1rQy1rRwjd1G2hLbYNXzBGLxz5DorL5fYLNfRgok7D6tVZaCDSjXxZr4lFLeCVnTmzyZOQOwWzYVLMWMQq5v1MRB9QSJTHfynp4Yjwp5qj6i4zW4PLuj5TU3N5uY+ZrencgF9xzxdU7KylJUx87zR3Jsf\/gdTeS39y1ITannUeafag3ujV2SodBh9wtwaSmok9y0Q2R2TR96bcO2m2i9QroXC4drEvRgncOFjOmIJI65oiTTErVmWVG8MT4dIHIJlGcW1qi2P5D28l45UoqWGkQpgpg+mYcIfHvmIVYvVghNYL9+B9VVrdnUNMmXIPjje4c\/KDvo8R70V0kulSkj+sDMufNIySyWHUGaYE3sIaeL2sLGMhsWJlsNEnm21NVuO8DWgWHb2tR3vcmVlKacUxnqj4M1oQEa81LEEmGo3XeTYx2hNZcSC6+gRGPnTcATOZARVbHaH2ExFSmQM\/MzQTZ9uWl+1etcJxlLt3HAGO4\/\/X3\/W5ZcNXZFKpNp5FUoYAp2Tm98wlGNDW6UlQ0v\/Yy7Tbhc+zaiA0uuQ7KCMqIyLpUMLUmXML2xj3kLMN5D7nVtyP9q5cs3GhmcbGjauXvnbnkLtDzT6mptanYXiP1OI+X5AQRAAARCITwLhvHQs9hg6xQMB17UVs+2H1q9cv4XWBpvX1\/3yaNqNNwd9Zyoeeok+5N5ckfvBCytXb2ygReDGNStf\/qQw6CvuIAQCsUQAT8NRGI0ppRXX2w89Xrd+M1n9lvUrNxz9\/Nybi4xfBRuFhiBiIhDAUQhjkwtuX1G75NsFmS5n+pXzllRXVkxT7aF3asE\/LSwL+hrtRBhV6AgCIAAC0SYwlu2F8dJj2SxkJzQBW2bZA9XLvz972sVO1+Wz73hwxZJrw3yzPaFRTejOO752e3X1knkzMl2T0vO+vaR2eUWuugac0P2C8vFJICafhlnXVsy9yjWBgGfesKz6wTtmT0t3urJmf3\/5CvVnaydQF6DqaBHAUYggabNnTi+cfVNFWUlupv6bXWnZhfmZeCYKRohAAARCCSAnWgSsvHS02kc7CUnAnpadV1xeMe8f8rLTIvv2c0JimvCdTs3MvXr2vFvKiqdn2rEunvDDGe8diL2nIe2W8r44wXZL3LmXlFXcNBvOPd4NZoj+weUPAQi3QQAEQgggAwRAAARAAARAAARAAARAAAQmMAEchUzgwYPq0SWA1kAABEAABEAABEAABEAABEAABOKBAI5C4mEUx7IPkA0CIAACIAACIAACIAACIAACIAACcUUARyGmw4lMEAABEAABEAABEAABEAABEAABEACB+CSgPwoZrx52Nj27q+00td7X9pvVq3\/bQalIw8n9G+o3HuJ1I60xjuV8rbsa\/tA5jgrom+7Zt6F+0yGfPmv80jFFZjwwaCYw7MYTHt2wiY2kQl\/bttWrX35vJFUDdcbGWXX+oWFXa4R2PPJpFujFOKfULozKiIyoLzHlOUfUA1QKR8Dao\/bx9ckLnnCVI7on5AxrnROR2NEo9GFTw6ttEXqTkbVnhjeGgYysk5HWUr1ZaPnTbbuebRrHxaLZMIVqiZxxJxCR7ZgsEsZmNTLuOIQC1mYlblNkAoRyLzB4WxrW1dWsbezhcvo692xcXVez5S1+EaOvvqBl7YiUHBr1iMSOQ6VYOArxdrS2dfXxztsvSstIG9b\/xvQ5Z\/rUtEm87gheLU9Xrd4t5u0IKg+\/Sl9XW1uHd\/j1xqYGkUtLSxkb2cOVGl0yPY1rqoblocZ+ngRMILbRDVe7uClvdw3XM4muB88cMrmROyshzyTydrQp3tPkpiHLq3law41oXL61pWqNXCVcSGtaF0Y4IqFtB49R6P2QHBrGmPGcIcoh40IJWD+MHGlfyMi4eFjrE1WZk42rq7a0qFfDX+eoNcf63dvRdkyuxXQtjY7lKgJN8cYuEEXrMXrzWjpkwtQ6notFal9drA57vTRGsOJH7AUa1PCdiddkkUCPsdFfjUQ+RsN+7EYumnlNzCoYmlcFMgypQxVt+e02z5SyZT8qS6eSJw9s2+fNXVi98Gt0EWGIvqFd+CLKa4I6wu7GWLHoH4X4+077fKd9\/sFQEo6c2bdVFPGJxPp9vjN+xmThPkrJ0n5fcN30GRW3zs1x0E1eksukiqd9vn7KCQr+M7yiEKSUpJxektun5Yvyg37SzXdaFBQZZpEigSupNWRVUebzvugk8Ux9E6pApQi\/JDV4d5Qc8cZrkbb6iiI\/KOJ1eUXiYNDNR71lXGehTHpBxW3lgpyobgQrMnlhginKywzLWOoW3ASvzutylUyQyiq8gKVUdQLoZwuXZt7B0FGTTQRrRT3tG2QDnxHJgFiaDAQ8dNqQZnTLZJ6EzEwqGQgEX98vP00yAZ\/rw4ePZFJzPBWoE5wiCUReG0HtpszXC9duESw+ycNJ1ZWd8EkaR2LIZ4LaFU6ViBFkOeIin2ee9gko6swR+URLOCLljk9WobpiFulqidKOnOtvrSgmz8QL8JlDTfOgGwhdFaUhygmaOQFnJWSSBgZvRjk0grILNPpSJaWseJOjTwWopE92SuSbR1wNUlKPyFCQNKQC+mnPc0i+7GZAASlKsNKLkMUEMSWb5\/BiXM5pnYZkAp8NsME+3pwKLXQEFSHKm65Rqh5QRtzWRkRcUaRrkVcUvVYTOm5UUh+oVtAYyXvUHPFX9ZR5WhzwnCSWl+Gt6P1bSL94Aa4Ph0NDLlyBFMdzFFz8TWaG+BYukAZFucsYrxWR79JqIGFJgAaRxlqPVy1Kc4Omq25cWMbVFRUzM9X74mFKdfkcCOTxlJSp5dN4+eijnoFeKsynsSNHrnOoGL\/kNeQraKCpFpXXG5coxMucDoy+yNNHfLIps5GmsZTPRfF+hPZI1BRVZElxHRSRkCDL5YX5ZCblA9B4prFRKYU3TQ6Tty4z9LHQh26pQOgeieXcdAIpUwtSmlRVKandowSvpehG6DT1qAt0ycVSGV0gCWHyRXWiTfopdYxy1OaU2yxQmCTz5qiArvYZ4iBdIuUHj6C+X6q04HdehWYj713wDX5l1hxffYX2LqQhPgSip1wOvRRRlFIC75RhvRQiRCmakG8aQAJlOkDGfJpFQQYlqZmMryLZQJsuTZ2JFEMxjSCNuxhTajow\/+iWGvh7YDXCm+bzSleRFyA9SQ6fxvyKv6iAuOSK6R\/u\/B5\/6fJVmTybXvxSD4dKmjx2qaASZHmhO6kh7V08Fk30VKowkqlvQs0W70ZoIpMiyqc+KvLpWg3UU8oXnVWzDO9Sw4AV+890dJ5kWVfk2qljJLaj0zslZ9rf9Yo+yLqyii5D36N+4T0MhibrBRdT8kSmWX91rWjoSJ+g5wgvw0k61GUtrSfJO9GcoZIBGryYWRNhUav6Tbj3qB6F9HU0bnDXrXxs\/frHVtfUrt55jNYHQcTattdv2M+\/ptGzf0P9loaG+pU\/fWL92rV1Nau2eT7p3LWubuX69evXra5ZuaHphKjYs2\/Dqm1tPNm2bdWGhmfX1j260yBI4QAAEABJREFUfv0Ta1fX1qzd08Wz6eXvbHy8pubRteufWP9Td13DW81Ucl8P87y2vvF95n1zK+XvOk7lmPdIw+raurVPUBMra9xqE\/yO4SXaemFDXa2irVVF35GG+tqa1Y+tX\/\/zlXWPN35AU01KCqgtr7lAUoku\/B\/uN0Vk1QRVCQ5cVINOt4AO6+pq1jU2791Qv50D44RFgg12Na6rqVu7nrjV0aAcF4My6G1+dnWNm0Nb+2hN3S+aukyOrpSWwzWhH0R3Q8uZkCoGMsp9\/maBwthBKzIWWvUcenZr82nWuYf623DoE8bOdDT+oq7up9TTtavralbv8Ij+cwXkK3Se9B3bubqmhk\/jdStrakymcYCtFPHOtvqnxPDycd\/csLV+5c\/XkwnU1dJsNLRG+5yupl\/UVXHypE9VgPygr21H2BE50fjYyvqNfzxll43GcXyiaYO7is9YciM1dRsOKJbOvcevd25w1yi0LQyfwPg\/bFxfW7NyHc2Bn9bRtDw85ADxWceH8JNDDeQfRFi7pl6aErNoyDhz+OhLZ8VYmC4827DWvZKc0lqaZOsaFbsb9DU\/W19Tt5q809qV5NyaG5+q3\/YOdcU8DOlpraY9Z6hToO7Jpq5PmreofrhuzU6PasLmdsf7aDbDj+9av6eTnW7eSuhe85j7HF1XLAcoUEYdEcqx4M8YL2P+UKBaIhjHiPV5yMpqV3LOj9bU6PorivNIs26e0Pu3VRYPKaHGy398eW0df7jwYdXEclxbd+yor3Ero2nqW9pfXV3\/6xbetnj1HdlMD54uenQP5btEcUQWBAa7zD0tFR\/0HtpcV\/czxUsHeRixPmFWz0dTL01O49fNXtbZSJP\/2UO0vuFWRnI6dq1e1dCiPVj7mjevWr\/\/JDVvsRQxfVLz4srL0mr4NDOzSloBf6h6wvUr6+ob6MmoyNLeDJYrJrN+gWHZKGO+1p3hFlS6B5YChDGjTZFzVh2OxQNdU5QSBnvnjwbvYe69aG2zemVd4OFuPXxWbrbvrYa6OuEWflpHD2UaROle+EOBWuahZ5\/qk3kvnt2xc1VNnVydWjooXu3TDjPPwO8oryGdubE5q96daFxby13QelpRkwsSSw+NvGyMi5LLQnnNQtZLZkKUsrH9NkbacYCvHnqZltC0nKC9CS2hjwmy1N4Js4WK0aCY1fhyybpnMa3e+WLAyplQc8NaJHCfIFcjbduCtk6WVsPnxm+aDpk5RqslEClluowPeexSQSVY+xODnrQKUhZ++tZXuusbjoT8hV8INN4YzWSThZZ3yI2P6Xh5XhPbir0b1pOHp+ZoteM7uu2J9XJrafpYlw5E9aUe48aEqyhfouO6PZ2pAlTUgK75oH5ZK8eaSlHgAoXj0hKMTzbd4tmqiaFRk\/iJGWg9FS3F+1q2PX3IeePy2qrKyqra2h\/ktm\/d2BTm70U+PpV+d3V1ZSW95l3csmXttr6bVtBlZfWK27K6d73WrPobTX\/vB4PX\/1iUqL6v0L9vy8sf0q2+lmc37u8vXkJSSFTV3Wn7d8k\/9s27pfLmK1hayX2VlZUVVzJ2snHjC915P5DlaivLnY2\/3ObRlikkKSh4271599W6l5enW1Y82bhhR3vmzZWiv9XLZp7Y9ccwvRXS+1oa\/mufs1xBVL0go3Xr5qbTF6SbTofa5dee2PWHEB3e3CP4EIbqFTe6ml89QI\/5nj0bd57MWyxh1FTOndS4cbvEJvTUR0HdDGlCN4gVX\/Zs+7UYtaAqFmSsUPCmhwtfr1V66b33laaxnPnU3yWl6X0t2zcfcs5dzntaXVuzOPf9LRsPBCEyzhNv08atrRlyWKtrK2+mMQo7jZnhX+ep9IXVwgQqb77M85utgkigjGf7xl1nCsV0JX2WFJ7ZJcn37NnQ8H6uOiJLiyn\/Bd2v6pxp2fLL\/ezaJT8q131oGZAaR6lBz7Zf7uq9WhAiN3JvYe\/ujdvEUSZ10ttxipvlg2XprM\/K8OlOw3\/tH5gpJJB3WZi2jzbnVFkJYQcovXQJTRwKi652DToKZhYwEhehh1Hk02lX2C50+q\/\/N+nFlhT69295lf\/BOI3+zvcy5z1USzeqq5eXntgVznMO7WnDTXtvQIHF+X\/btX5dy7Slwjyql5bamnfu5fpYOj3eRzOAV1ZUzs9haaXc296Sx8x8Dq8qX33kBsMMkCykxX2WA82LmD4U+A35Mli398DGLW0ZCueaynnprVt+FY400\/m3sA8pb\/NB\/80\/FsNnFNvRaauorHPzb9Ja+Jbcawpdx5tVR9F39K2OzKLSLJp4Q\/ku2UfEpgSsPC0vfHxf27Qf8dEK8TD8Lu3YLZ6PZKcmXpqcxg\/4M+dm8hv3lqZLERRPLy50eZqPKAuZvpaWjkuKSy+1ftxfkNWYWWVfkKGtuCOtaU\/IU95guaQ20z1\/gyVU630pPeWfbc9VF1RLi3p3\/XJn4IkV5oGlsymLNYP+gc4V0r28gUXg4nzva+vXtk5bWsW9Zu39pfY3dzZ+yMtaLW9o+CzcbNe+3W2X3cxnRHX13fmndjW2cjnhXh2d7LuVbvfCArJTiweEqB7GM4j7QztzUSzQHNP3rromsHhr3r3fX7KEWNASeu7k5l1NtNATdcNF6cHrJTYiIeEaiIN73sNN\/ptW8HW+fkFotVAxGFTY8dU9i5coi4H00iU\/MHMm3CltsJi9QzKOyGq4FHPH2Gf5CO4jD2OyozE8drlk+eLlwzz6dXpabfFW3J72h0ajFzODZmDbsIebg5XtSO14bDFeebeo24p7S9OpOXW1w7eWFo91Li3gS3MNhibualGQyzXfR4egM3HmmjyzRGDxbNFH41rXFLWZ5AmRF8WjkOMtnosKb7ha+VNb+6VlpZd3tbSGHOBp2C4vnvVFcWFzFc\/IZVPyZmbLD7wdBdfNcHUcbxc3dZFrxnUFDnFtv7S44GKfl29pPS3HnMUVc7NkVXvW3PmFigaipBb1tLR4ryide6ksx1xFswtT2losfyjRVXhDabooa1WR52eX3ab213X1bWWXa61ZJAjRpMLZRYqCjq\/d\/uPltxdexLioEes2pA5TXI7Tnqa3uvyDzFGyxL2MtpE9R1u9ubNUaDZXIcF4p8XoX0QnuG5hmtANYuHXc5jXS+M9RBUhllmgEDdHET5ND5JW6JJ2YM8quza76+1wvxvXc6S563LDsHY1H+FuVOg2ZJRdfJ1yWuEqKsgZ9HrpqCtQqe3IWylB07WiOOWtI22Mj0j2tWXKNLZllt1fuawsS6lHnxb+YkfX9IX33ajcV\/Lj8u2dIy0pxbeoPbVfOveWopSWw\/yLTtRd19fLFLNkNLIWhs+nVrAE1UhJAmPhB0gUYT2Nz+73fe2226bRpXVDdNM0hO9CweyCyaKaPas4P014MTH65bcpnovs8R\/Lsi1PaRm3nSE8LelsOe1dAQWyZ34tjWUXFEuHZMucVZLte89Dc52bsKVHigCgic9hgX9DDFCgoEhRXywGmt82fSjwG2avnuYjXdkGzh83N1OHzUrzPJ1\/C\/+Qyr2hIlsOKw3fTbMyA2KzS2\/Mlf7H0rdcWlp8SUdLi9gzn24+0pGZNyON8RluOYhcN7zCEbDytKLOxaU3lxBhniYPMzffr3kYniW8sdnzUdiplZcWNYOjrNKizI63jopx9YlxLaBWLY3rgqzGzCqPt3gmFQf50iBPGKxs4IpmneplrSXwXmSXlqkLqswbflT5wA1Z0muFf2DpbGp4awauIbd3ZRGYPZNo5nytWBoX++Ks4st97cJ7WSxvxPAZzF8qzFyuz7EP3trf4fUzW3ZFpfv2fN5YuFd26dxp0m+Gd1DM2jMI8UR4CGcuigWa470wm5xsqsvhPdbUcsLPmKP4PveyGwKHckJERNGoCImopQlUaHpZRbacdMx19bxZl4gFYdinfKBzYcdX9yzWFgOBqsEpPu7Gh5cye4MLmlxFYjWimrljtJ7h1DuzHY2QZRbx8mE8kk7P4W\/xDO0Z2HpPdtFpkoVn0FUlDSOxR10Ny8c6L6PzpfzS6qUrZqUA5Y\/EmQdadGmLZxJl3kfrgQ6ImagpuQWMhvY93afY6UMb67V\/a\/f3uOxMLANM2091Kt6F7qYwZrNTREkeHA77oJ88Ok8HXnZHoIKay1sNzv\/SF02fAN09XtaxS1Ouvr6hjTlTQtpQ5QZkWlXk+am6LjBH5iXy0ajKCHnnyqY6nIF8u2OKy2FnXNSIdRtShysqlt01o2\/\/xrqamvrHdzZ\/Qs3zBttf1cF4to1NMofBi4ZpIugWSeZhiCq8CLNCIW6OHnzejPfQfwV6unZf+EnJuk\/2sKBOOZyprOdkt1AskihFPyeMFXq6ugcDveN3+VTv7urhzIJqprpcZD28BG19m\/b7ZlQsyA2d\/vJ+PMU9f+1mQTbCnGQhPV1yu2rXrIePrD3IIaiGz+8ES8gMcglBmE3R9ezZur+\/+O4FufwuF2feEL9r9oq0C4G6IaPvyMyYErhtSHGNwntaXsJy2ts1hoyl2Mjx6vyuM4WJ1RVXyNIjDQ2QmficQCe4duEGKFCSp3hpu+lA87ss+JbIso66ez5hQdo7qMM9PSeta+hdAXGyfEilffESnZC0NBfzS5JM16C1b0m7uiCz4\/AhL2PeP7d0XTGzmO+Y6YFqOYi6xpA0I9Bj5WlF4fQM\/SJhKg3XoH4pwKe\/2fOR5wfNH72XFoINUdo3aFyPiHE90nIie6Y4f+FSTI0rrNVwOwhnNUF6STWGqiJLhcYBmwojgfdCbx02u2uKy24T0o6HfWDpa4niFBmlWa6mAroxlsKbI6uk+jzwJzV93sPEeiqi4Qu4WVfpD5bNndK2bV1NTd3aLfs6rJetvCX+0nrRQ3aq14ox9UnEi7EwnoHf57XDO3NeijGtOcvesezvLltY0Lfvl3VVtfXrdzR7hSeXtSOPR0VI5M1NiJJpl2Tq9ExLm8JomoV\/ymvlw4+vXfcs1qpYJLiJBBl5YPZa1Ahk23UP0BQLqxGlTR0j74NeQmCG8ztBTknZ0QhZJlFIeRa8NgtuRQrgdYLzg+xLFjKJ7SZsOUMzzxCozluLxB4DNcJvGew68ro6xmSgmJUCPD8ItQGdUWLotV0FwkWZ9pHfsAcpHBnq0LZiMMcWNZ3Sv5DBLiq8u1L7t3zZD5feXaJfcoyBLumZGTbxwaomu\/NDuWvSMmQi45J0llW2TNPuoeVLf7h03nR5M1xsVZHnnxZfTFFq93V95FOS4m1AexSd9skbHFF\/X6+4KyL+uzV9fsZFjVi3sDqIVphr2uyFD1TX1qy4LfuDnRtf7mQZ6RezrPIAjMoHly5dOi9Plg6OuW4RNKGvFEkVKxR6OZTmoszI8PxItOLTw1V4pzbqlcsfWLr0Tv77mCTcNIRI5l\/ryMxSv6Ch1Rkc0JK+03J4tQzrBNcneLp6vb7UzCx6Al3MBnp1C7B+3e8vTiub9+XWbZsPjWxxYwWCYykAABAASURBVK1NLN7hE8PnPaXZDmOnvD77l7KMfiSUpGr4oRI6PzZ1CRbd9zZt++++4n+alyV9p3VDFvVZqALmXQjU5\/bo+4Q2wmrWma6uoC8TqfnincsP72m5zsOb9kJwIOJWYGZ3gRJDpUJ8TqAC1z94iMMNEO+LT+9nmTrQAYmRpkI4k\/WxzKxLI61vXc7b+b7OeE92dzNn6JEopxrktbze09Q89y2uopnZJ9tavD3Nb3YXlBTyQ0\/e8QsaRGttJ8ydkSvK6QVPGxpr7mmFyI87xZ+BiTRjXSe9wQtAPk\/Mno8839JLK8KC36YUzryiq+2ot+dwc3d+qRjXcI\/7UbMaocXwDE1UMURhJPDJ3K97Yg3yH6SnLSKXMPwHFpcWZBrG1RQXG+mLD5PV8Fm6WXt64S1LK2vc1feXsqaNWw8r5qz0iDd9in\/llSeCX6EzLchBDeEZOOHwzjy4NRZm8WZz5V6\/cFl1be2Pb8vu3LnhVXWO69Yqp4Zcq1gJMaqRQNfeD9uV2cA7TR9bcefOB8439EKFFxve+PI2zF58VlvOXrMKI8kzdYzWM5z3zmxHY9U0Lx8MLdyjX0qxbl3eH07MGZp5hoAMruEwxyvEd3m1x3pAbsQpKwV4flh0oftNqza5KNM+jiZqq8bHLV8u56PS\/JWlxbZDO17r9IvWfEcafrp629F+cTGGUV5pkbPlpW0tXtGsr23bb1t7dc35zyjb1PRrirPfb9ym\/OKOv3P3Y\/yn6ajk6bZdz+7vsNbTqiLPP7mvYU+neFj6O\/dt3n\/STvJ4SM\/KcniadgsUg76215q6eC5jV15dMKAh8vcc2Lxy3cvtfsZFjVg3Kx1ki4z5\/rChatXODsJjd2SmT7XzTWb6rJLsjt3bmiUbf+eux+vX7xM6ftjU8ELQF8a5bkM1oTalvEdUxQKFIkJ946LMyPD8sFr1fiYfXjQ92KGdu8RIEIvmhp\/Vb3ubWKgNqO9B8+TkgR0He3ihQX\/na5sbvXna3zTJ4umXZznea9r1IS\/CfG27Dgp08t4QMenjbHntZY8g7\/c2b\/lNS9q11+ey9MKrMwMj4vPsfKx+o\/bTM7a04rsXF59++bGt8jv0Q7QxsW+TG3G27Pqtx8cnqt97eMu21rTS68QXNII6JkiaGr6QsPM3qkto3fbS23qXECQl5MLb9OwuX9Ht8y7T7lg3JIpoM0dciUgoEEEXRGEecXvser2h8QMxo\/yd+7fs70rlN8xfJH8IT0s6RzTtzeUza49kVUHm938qRs3U58gSIib9nS0RDxD1JZyHFxKHiNQxEpybdhwSxs36O3dtbjx15exC6y\/gDCFXd7tjz1ZFrM\/z8rP7fdNLQ8UKr3XA3Lc4Ckvzu5tfeOmIL69AOaCnjl\/QIOq0S8Ak0TP1tALFZ807XlI8TM\/BjS8dM3gYPk8C3jjwfAzrpVlv7xkhPChyFJYUdL+546WjvryvK06MTwOzh5rZk1ona3hWIypGXkW1XFFNF1lLSL+6MFPrxaDP89La+k2HvHK9OfwHFmcS9oGu02nIpOXw0bLHws127Kyr2niQP5XtaZnpFzHxla6s7C95m\/c0C5\/m79m3p8V8lShmmumTSGg6hGcgwkM4cyElEFn1ztf0ZFX9C2KhNzkzPc0uusCyLs\/0HqY+8Pr+nv173hKPGH4V9FLXS6ZC+jr2NbboDuqDaibCxfuNW5UFIc3zrft9uaVFLkYDF2ahohkUFRve+Eqgoc6Ej7vF7JVVRiM2d4zWMzzsMl597OoUIxrDePTLitaty\/uBOBRa4J5IcYZmjl3clBFpOMzxEr7L4rEuZepi1dB0WYaklQKUH4xux5vcX\/Ha6Vnm+01+z+xFosz7aI36TMf+3RPbB8hHkxmOUc+zZc374e2XHdtYU11TU1O1unGgeNEdxZNHvRmjwKybllRc2rljdU0V\/VvXlHZTWY5aJHdmoaNlI2VveYuxycV33ztroHF1FWlXXbPxWEbFYv7Bb9+xQ019n8sMs\/GwqEgC71hUav\/jhppqaqFu21+vnjfTpbRsy735juIUukV3atY2ZRYoiyBb7m33V2QoiGoe+wMr+8HtefQJoEUTkehmqYOiCnOV3FZxafvmGup3Vd1vT834Lv8JCsfMu5eUDuwhGLU1VbUbPZdULLmJfzjZ+WZTpz0jXa3L3ycXD9kEL6Z\/RVLFCoVeDqUtyISDz9JnzMz2vlZXRXPwJMu6aentWZ6NtVU11NPVewZmLr5jJhEn0YEQOk\/Yfz\/G55OcJ\/eLMQoUZ2zazXfMTDn0C16kal1T5teU4dUXsUoLfdobVtHMqKpZy\/W5T\/xNb9qsxYtnqiOyquGDyxfKfEWOLbPs3tsue3\/bT7fKlZmSHYdv0o10NNRXE6Katb8nN3Jfmf6vD9Q+Gww\/o2KuYvgkYXFF1seKS1j7RtrNNyh31KrW7yebD33MfH\/cQG3z8HQLFTU0ZOlhqKgMpAB5wgi6IItT7Jh5x+IS+6FfihlVt62raJ7y+x10LzRI+YoboVlOiIyeVkyzIaZ9qOBAjpXdBUqEpKaRtz26kUbt6RZTnxOoQPqHDFDgbkjKwD8w0CElTTP01i38HtsvjLuqjvu9H32fO2DTisPJTCutyDu+sY7PmfqGNlfZ4u8XGL0MiRNUrXxLbnGh\/70OdnWx5k0udBCpxQQOgl57qKflSKbNnevfJZYMNWt3+\/K\/v8TgYcQ8Ub1xLZ8n8vlo6aUvmVGc7d3lrqpa02j8Btr04sL+jg5WWMx\/eIg3Tg8v06XI6FoNbylCQ9NZLq+lf4WRkFa6eFGxsqCqqW94P2fhvWWBlcNwH1iTg5cZ3tIKbTWl1yeytNXwWbvZ7Ll3zPbvradFUk31hpYpc+cWkfmmlf7TvMs+flk8ieo2e\/MKLzZv3uCg9A8IxtJKb8xtC+MZiDA9LMI6c0OrFr1zlf5jRVbHZr78rq572Tuj4ga+oku79vZ5l3e9XM89U93T3ryr0wzSWNB6yUxIf2vT3v2H3lH3XSH14z4j7dpb8t4TQ1hd3\/COq+x\/3l7gYEwOnOlTXm9QsthwxpdZOBPr2Tt6IzBt7s22PaGO0XKGWy\/j9Y\/dgH5EYziPflnRsnV5W8YW0ORNLbawHe2+OqzDGq+wj3Wd6KCNiS4\/OEmITB0C5Qeju+VGdaVgs9hvBgsOXJEo0yYYs0Ltf7ep8cChNuuvKgeEx2oqikchhMCVV7Gs1l1bXV3trq1cXKb81FDBQvdyudQouEv8nyzkfcuXu+8qoBpK+NpCN\/9fIZQrdknZcv7T3CyQYAEholB62YNu\/pv8dGFLK\/z+cmq1tsbtrlpSll2sNeeYVrGMMt1KSfulsxdX1rpJOyq97Hb5YPMc71K+kEyilGBoi5lWpLKO7LIlVW53TS3JW\/79wrwbA51yZM9bSk3TrbrqJbPmaiqxiwtvJ0Q1K1ZUc0Sl8odjmXkTkehmpUO6Rljls+Lfa901yyqmkxcn3e1Z1wsYpEdd7bLvF6bZKLPH856r+Fr+BKULLQzdhCyqG0SrKrKgEpujGAX46dfyrrnlrLO58m5ZVlvnrqae0qQsVyalooN4M58ntbVUq1adJ6KgFjmyb1rK79bU0pQrvVGdvdq8VQpqfdES5GoVfWqpbpA+juxyrnb1j6vdNCK35MpxCozj5IKF1e7qOwqVX4lTmojHN5dwI3U0ANxGVDfCNO+h9Fmd2NLwZ3++z8e\/uCpu0tR6kIySj2D1vWXZJREPEB9Bd+Cf9FHBDZVZeRhed6Hi1CLrQmBwGY3+kuo6t5gVy2+\/Om+u6t+MvRb9Y1K+tadlFtPeIE2ngJCrM2Fzp6fvI6+hm9iOXO78iR1BU4kF+xxeQXlZDVDAz+skq9JCBlpXhsvVPRT4pfIKtm7F73HOZGWK31NKyjeNiZaQ+UwHh+cEo7BfXLyQHi411bV1ZNWzld83Di5DtRSqNLVprA2+5bJ5lW53pTiSppI8WAwiv4XXkARUenysaUxUzy+GtTiXPxRqq6vEMzFf\/QwjIFOZJ\/ypETRPyE5NvDStaEp5tlsuY4KtLIuP60Pz9I9VZRpUV1eTl9KmgTrPh201xmmmswtLQwt0lektN2CAagFrCfSU552uWiF6UZE7mVcReIUX1D2wNCCBu7ws09sUSVuiraZuyWM+X\/BfLVEFXb\/oihntXWuFsTDDZ+5mldapL9x+SzNtvAEmjZpba+3yW2ZXqD7Z2At14KSD0j0guMJzrxZTI4xncInnndGZCwVEZGzOqndypGpWrKhx1y5ThoPZ0orvIsdUS7rVPlgx+7vKGlUvM12\/XgoVklq4sM695NpQGxHKJUJky+AM62qrCWzl4tmXqt\/+lgMXslAJNihm8bA2rmd0I5IuZkyoMyHnYz57dTNfHY+AT+CTUO6\/xL0wVkP3nWJlG+IYLWc4s9rRBD92SbIa5ATjNuUOWpsZPY9OzzCtq1IZs4LGS+jYWnkGXkx5yWE12qNOHyoXvBhQ\/LnolG7LYCDPggyNhCjBWMxqwnDU+mXtRUp9enNkm+43A5KNM8S8j7Q9Md9N269e6K5bUjqFmpqoQXr06Gpvs9tVXxHFhu321MhaI+0CVDq6eguLlS8kD1U9qKKucKrdsrupdvNb9JA3vRHUxHB0S7WbytNpaXdMNiliT9Vl+tpPXDKzOE1XSZ9MteuK6m9Yp1PtQ1exQmGQarfzX3syZNJlqn3oJqgYY0E9FTlDRFYt6qoNW2YEde1mw6SrN+GTkXZgKDfi+U1NzebmPqYYft8xT9eUrCy9s45gBCNVhpdTGuLJCF9DdSFUzPBmVATyhyfQRCELuwstaZJj7nMCBSMboKEHOiAx0tSFYrFqJ9Vh7qYM5SPruFZprLTVGojrhDW9oean9VNjdLy0+TQYSivzWmGHcARVDPLCSIhwzhsEGi5PN62vWr3rBGOpdv5AH+w8\/n\/9WZcH\/kzRUDzCS6uht8pnpn0J0\/cgPcI+IEwl66tH4Mz1xSlt3gvzBVVY3UiWIZgLMRRKsEub3WG6xYhw4CIsFgFU83GPoGLERaxckPUsGu6EsY9gXWHdesQd0woOzXAE4zWSTmkahSSsFAjTSqqdO88QSZYZVk2oi2rLihPwhm0C6hxNlbPn3jtX\/3FNNNseqq2o6+YqXniH\/GW3oVTD\/WESQPFRJ5D7nVtyP9q5cs3GhmcbGjauXvnbnkLxx1+j3hAEji8BDPT48k+M1jubnt2w6zhLS0vgT7\/HcaSnlFZcbz\/0eN36zQ0Nz25Zv3LD0c\/PvZn\/lco46oSmQQAEQAAE4oEAjkLiYRQnaB+gNgiMIYHJBbevqF3y7YJMlzP9ynlLqisrpsk\/KhrDNiF6HAjE+kBnld4yN0\/\/daRxYIQmL5CAK3Pa1RX31y7G9vsCQY60euYNy6ofvGP2tHSnK2v295evuK808MsjI5WJeiBwgQSyrq2Ye1VCHI+6rppbEfLX8RdID9Vw0800AAAQAElEQVTHkMClpRU35iXE1BwNiDgKGQ2Kw5GBsiAAAlEiYLNnTi+cfVNFWUluuF8+jpI2aGbMCMT0QKdlX52XiVO4MRv8qAimQSzM\/eLwvl8cFcUSqBF7WnZeSVnFTbPzstMwEgk08DHc1bTswrwvJoRzd3wxrzA7LYaHAqoFE6CpeSXWHcFMrK+idBRirQDugAAIgAAIgAAIgAAIgAAIgAAIgAAIxAuBidAPHIVMhFGCjiAAAiAAAiAAAiAAAiAAAiAAArFMALpNKAI4CplQwwVlQQAEQAAEQAAEQAAEQAAEQCB2CEATEJiYBHAUMjHHDVqDAAiAAAiAAAiAAAiAAAiMFwG0CwIgMMEJ4Chkgg8g1AcBEAABEAABEAABEACB6BBAKyAAAiAQLwRwFGI+kr7WXQ1\/6DS\/h1wQAIGEIdD5h4ZdrT7q7lj5BG9Lw7q6mrWNPdQGAgiAAAiAQGwSgFYgAAIgAAJxRwBHIeZD2tfV1tbhNb8XmvvWlqo12MmEckEOCEx4At6OtrauPurG8HwCVYgstPx2m2dK2bIflaVHVh6lQAAEQCB6BNASCIAACIAACMQvgWgehfj7Tvv8g4z1+3ynfb5+I1T\/meB8KnbGrxXy+3x92pW\/z+fTLkQRpTBvwndaV9DHZfJGRSklGvRzBaQEpSJjPJNXJDX4m1KUv1FOkMwzXGZAf1LmswE22Mdl6hTmNenFxZISAW25NNF36hFVMerGdF0gyVJJkkNBitL1jvJ4sMrn9\/ACgfgkYDQfMmS9sTDGCwhD4\/0PtRGeww2d7JG\/8UJBromqB\/LlXbOYqktXQOWtzVn4PaU6N3Bu9aRwP\/Of6eg8ybKuyLX3BlyEiYekwty3UF2ulNIo74Let9Bdck28gNKUfNMXU+SInioCravA1UiAiBOQALoMAiAAAiAAAiCQAASieRTStm3VhoZn19Y9un79E2tX19as3dOlED7T0fiLurqfruX5dTWrd3j4h7DHdtav26X8jcrppg319Y\/tVb5C3rP3sdWvtSt1xVvP\/g31Wxoa6lf+9In1a9fW1aza5vmkc9e6upXr169ft7pm5YamE6IcY74jDfW1Nasfo\/y6mnWNzXs31G9v4\/d69m1YtXXHjvoad\/22d3iG8jrR+NjK+o1\/PGWna1M9j+9av6eTnW7e+sT69a95qFQgnGhcW1u3lvJJpTU7Ra9Y2\/b6Da8eenldTd060mF1Te3qncd4d6mW\/8PG9bU1Kyn\/iZ\/WuRtaDm+rf2qf7LOvdefqWiFq3coad6A73iMNpvkkDQEE4pPAiaYN7qq6tevXP7a6pqZuwwHhRjp2rV7V0EInrbLPfc2bV63ff5JfmNuIwd4Hfc3P1tfUrSZrXbuSXFNz41PBfoBLMnmFMee+jsYN7rqV5GpIz4CZCzf4woa62voN+3s8r21tPs06925Y\/+whbumDXU2\/qKtyS09YVfeLpi7RI+7fnt2xc1VN3apt5K14o882rHWvXP\/E+rWra+qebOr6pHmL6v3qyNWcUVS1cndcoN5hkrfRqsDVKPAS7w09BgEQAAEQAAEQAIFEIhDNoxDi6v1g8PofV1dWVlZX31fo37fl5Q8ps69l++ZDzrnLq+lGdW3N4tz3t2w84GX5BbmftXv4\/oD1HfN0T3H53vPwP9lnPs97vryrcqlmUPj4VPrdQkR15byLW7as3dZ30wqSWFm94ras7l2vNfPzhpONG3a0Z95cWVtVWVlVu\/zaE7v+oP8rmI5OW0VlnXvh11TBZ1q2\/HI\/u3bJj8ozGbPQ88qKyvk5LK30PurWLXlqTf7evHu\/v2SJ1GHu5OZdTaIzjHkPN\/lvWsF1qK6tvDmjdevGJtKir6Xhv\/YPzFzC+0B8Fqbt0w5WSO1n23N\/IO\/ULi3q3fXLnR3UwsnGjS9056n5leXOxl9u84i9E91EAIE4JDDo2fbLXb1XCzOpqq29t7B398ZtxxmbXlzo8jQf4VZOve5raem4pLj0UsbC2UjA3nv2bNj5Xua8h2rJWqurl5ee2MVNkgRFEKzMedvTh5w3LudmTnr+ILddmjkX6G335t1X615enp53y32laSxnfmXlvaXpjHm2b9x1plD0rbq2ZknhmV0bt6unqx2d7LuVbvfCAsb\/eTv91\/8bKUueYnH+33atX9cybSn3D9XVS0ttzTv3ijNk8hth3J3OYVZ82bPt16qHTDRXw3HiBQIgAAIgAAIgAAIgkHAEonwU4ppxXYFDQLZfWlxwsc9LRwDM03LMVXhDoUvqYs8quza76+02n62gYFpPZwff23iOd+V9+4acE542uupr85zIyZ0mpOijy4tnfVFc21zFM3LZlLyZ2fybHIw5Cq6b4eo43s5YT0uLN7vstqtdohxzXX1b2eUyKePs0htzFTUoY7Cr8Rc7uqYvvO\/GLDtdWunJb5m\/proc3mNNLSf8jDmK73Mvu4E2O6Lk9LKKbImBdJg365Ku5iM97HiLZ1LxLUpbzH7p3FtUPYXapWWX2kVllnnDjyofuCFrUHTnitK5ar6raHZhSlvLe7IUYhCIRwLvHGlJCTaTopSWw22MZZUWZXa8dZQ8BGO+5iMdmXkFadLkLW1Es\/eeo63e7PLbCqVjsLkK\/7EsO\/IjRStzvqjwBtWE7ZeWlV7e1dIqznIZubvSdMWa9WPUduStlOKKudLdMHvW3IrilLeOUN94oezSudOkfvzKVTC7YDJPMHv2zK+lseyCYnnTljmrJJtOjenYVfiNMnN3xxjTOczCr+cwr5eUE1XgaogOAgiAAAiAAAiAAAiAQJwTkMcPUeuk3aGcAOha7Ok+xbyH\/qte+7d2X4\/LzmhLkzs9u\/O4hw16PO9flntlYcG0zuP08e\/x453ZV+aGKp7qDMhOYcxmp0hpxuGwD\/rpQKK7x8v0xZgj8xK5gZAFU3QiGDvetN83o2JBriLWWk9ZOTTO\/u6yhQV9+35ZV1Vbv35Hs1fdXKVdkqkrnJY2hfnpXIMwpDqcuhuZX1SOToxq2+yuKS67jfH8jl0at\/r6hjbmTKF+6oQgCQLxRKDnr90s2EycDjvr6aKdf9o3CjI7jhyi01XvkZYT2TNL6CQk2Ea4qehtRLN3bknaBcflyMyYwt8jeVma8+lDG3mL8rV2v+LVSKTdxA1Sdk9X92DwLe64unnf6G5qkHOy61xFCjlDm87bOVOYcDW8V0G1HJl6dxd0ixrgwVgFroZTwQsEQAAEQAAEQAAEQCAOCdAierx7lZ6ZQR\/D3lmp\/Vv+wNKldxbTMYDjqrysDo\/nvRbPl\/nZR+60LE9Li8fTnnVlvnI8MUzdMy5JZ6fFN1GUin1dH9FHocqF8W1a2bwvt27bfEg5wrDW01hRu7a5cq9fuKy6tvbHt2V37tzwqvjWOmPeD9vpoEct1dPdw5xOR\/oXMpjPe0rsYeStzo9pf8eTXO3+3kAV8TuIdHrC87PKlmngHlq+9IdL503nVfACAYVAfL2Fmskpr8\/+pSxyF2xK4cwrutqOensON3fnlxYKHxGZjWSkX8x8n3gDqM50dZ0OXIVPWZrzRYV3a7ZZuXzZD5feXcLVtJTGPYxP756Y1+tLzRR9s6wU5gbve+TuTgjiVeBqBApEIAACIAACIAACIAAC8U0gBo5CWF5pETu0c1en\/DqDr7nhZ\/Xb3hYXjhl5X+7Ys7sjU5x9OArysjua9nyQlVcgdjnDH5n0a4qzT+5r2NNJ5wiM+Tv3bd5\/0uR76opgW1rx3YuLT7\/82NYWcQxhrSdV6P\/UpzvFoAzGfE1PVtW\/0EE9sU\/OTE+zy49q+a33G7ce7KF8NujzvLR1vy+3tMjFriwtdrbs\/E2Ll99gvtZtL73dywszln51Yeb7jduOiFMbXmVt\/aZDXhtLp+5o+dSd3Y\/Vb9jPf0Pyk+bGA51CZykg8WL0OF4JCDPZ9VuPMDe\/9\/CWba1ppdfJXw5yFJYUdL+546WjvryvyxxrGwnikz6rJLvr9YbGD4Tt+Tv3b9nflRpUItyFlTnbDu14TfVqRxp+unrbUe1\/tDEXRx7G2fLay\/Inkfze5i2\/aUm79nqlJ+ZVwuVy\/xC5uxOS4GoEBkQgAAIgAAIgAAIgAALxTyAWjkJY1k1Lb8\/ybKytqqmtqVq9Z2Dm4jtmOgR7R940V9cJV+50cenIy03v6pqcmyeuRIFhRpOL71hUav\/jhprqqqqqum1\/vXreTP0fyIRIs2WW3XvbZe9v++nWZtp6Weo5bWah4+hGkvl0i06Eq\/QfK7I6NtdU19RU173snVFxQ5a8m3btLXnvbawjFarrG95xlf3P2\/nZji1r3uKKrI93rK6hG1Vr30i7+YYcWZ6llS5eVDzQuLqqhv7VN7yfs\/DeMv758uTiu++dpeRX12w8llGxeF6WjXX9cf\/+\/Uf4mYhSH28gEC8EyEx+ePtlHQ31ZG5VNWt\/P1C86L6yS9TeTS8u7O\/oYIXF2m8JWdiIWkF5d8y8Y3GJ\/dAvhe3Vbesqmqf89IZyP9ybpTmTnsc2cvMnr9ZIet5RPDmcHLonPEx7wyruAWrW7iFPeN8N3NDp1kjC5GG6O2oDroYgIIAACIAACIAACIAACCQAgWgehRQsdC8PbFpYetmDbuX\/arG58m5ZVlvnrl5R7a6tXFyu\/qYoY65ZS93upaXK3+27Su93u+8vDTq9EIOUXr7cfVeBSIroawvdD4rDAnHFLilb7l4obzuyy5ZUud01tbXu2uXfL8y7Ua2oK0OVAgInFyysdlffUch\/TtVKT0duxbJaN\/3T60BSLi68\/cFad82KFTXu2mUVudpGyJZRfFdlbV1tNeVXLp6t\/u4pk+VrazmKe8uySwK9ILUXV9a6q1ZUk946UfZLZ\/P86mqRf3vhxdQqy\/z2cnd1RTZP4gUCcUfAlcfNrY7shHuLsoC3oJ5mzat0ux+apxw6UgZjpjai9wmilCO7fEl1nbu2hgxs+e1X581VvVPBXe7l5fw8IuATRIVAZGXOUs9aMk69ntZukCSqHkaoEfCEhqY1lagGBcNdpvN+5DeWmLm78FW4S4GrIbIIIAACIAACIAACIAACMUdg1BSyjZqk0RBkT7X+c5XRkB+QkWq\/kJaGp6fd4TBtzGZ3pAY0CqTsdrvVsKQ6zG+FqRKQixQIxBEBG0364XSHiluZlU7M8ExbV5HZLMx5uHoKmSNXQ1Q3Rql2Uw9kLKa\/hqvR00AaBEAABEAABEAABMaZAJoffQIRbA5Gv1FIBAEQAAEQAAEQAAEQAAEQAAEQAIEwBHALBMaQAI5CxhCuqeisayvmXhX6Jz6mZZEJAiAQ0wRgzjE9PFAOBCwIfNbb333q04+6\/\/bhydMIIAACY0fgr598+umZIX4z3MJMYz37U+FGxgwdXBMIgIBC4K+f+Hxnzo6RR8BRyBiBtRSbll2Y98UR\/+6rpVjcAAEQiD4BmHP0maNFELhAAnQO8lnfwIB\/8Pz58xcoCtVB5BWrqgAAEABJREFUAATCE\/CfGzzTNxDxaUh4YTF0l85BevsGBs4NxpBOUAUE4pSA\/9x5ciNjdBqCo5A4nTXoFgiAAAiAAAiAQAiBz3oH+A4G5yAhZJAxTgTiuVk6cOz3n\/usN96+GEI9OksHIYM4To3n2Yu+xQgBciMD5Eb6BsZCHxyFjAVVyAQBEAABEAABEIhFArQxG8Q5yPiPDDRIFAK0jSGji7Pe0saM+hVnnUJ3QCBmCdBDmz7DGAv1cBQyFlQhEwRAAARAAARAIBYJjOsGJhaBQCcQAIHhEqCN2XCroDwIgEAMEsBRSAwOClQCARAAARAAgbghgI6AAAiAQKIQSEpiSfgXWwQs514SBisp1v5ZDtYY3cBRyBiBhVgQAAEQAIFEJoC+gwAIgAAIJBaBFHvy5yZPmvp558VTJiOMO4GpUybTWFzkTLUnm2x4KXOyI5UKULFxVxUKEAEaCzIfMqJoeg2TmRHN5tEWCIAACIBAHBFAV0BgohJIttkck1I+\/znH37mcCRumfM4x2UELUfPFIX166Jhk\/\/xFk\/7OlXCUiIxzUkqyLcl0fttsSXSXyiQgmb8T9kJ95xtOu\/nMMYUWf5mpKclOR8okMqBkm82WhDDuBJJtScnJNkdqimNSSkrw5KRzEMckOwUqQMXGXVUoQARoLCal2MmIUlPsUfMPCe2zokYZDYEACMQ1AXQOBEBgYhOgRdik1GTazdI6LDUlOWHDpFTaG6RQTPsEw4gGEKXaaZ2aaIiICS3QKU5ONq6ck21JlE+TRzAhOIk4f4iAgyYPzYzgDadhFsX3JZ8AZDkW52Xx3fdY7h33XSnJKfZkvZJ0SbM12WY0Z30ZpKNPwGZLSrUnT0oNGqwxVQMzYEzxQjgIxDEBdA0EQAAE4oQALYtpL5dityWZf+ofJ92MpBu0leMoUowr0WQb\/3A1xZ6clJSgjOzJNk4m2bhyttuT6RTAzidPgpKR84oOiSalJNNhorxMtNhmS7ITAltCz4GYHXQ+MrYgy6WcZFtQTswqn2iK2bgp2ZJtURqdKDWTaKOI\/sYvAfQMBEAABEAg3gjQx7m0Mo63Xo20P\/ZkGwVDbZstKcWe6ItGwhI6T5JttAdOdDJythCchJ0k1HeyEckBcQwSMJxR0WWiHurG4OAYVUpKSrIl0xAZ88fiGr57LKjGn0z0CARAAARAAATilkCyzWZLitLCa0JATGJJBj3pOimJIkN2Yl0mJZkSSKJ\/iQUiXG9NEYWrgHsgAAIgMF4EcBQShjxugQAIgAAIgAAIgAAIgAAIgAAIgAAIxBuB0KOQeOsh+gMCIAACIAACIAACIAACIAACIAACIBBKIGFzcBSSsEOPjoMACIAACIAACIAACIAACIBAIhJAn0EARyGYAyAAAiAAAiAAAiAAAiAAAiAQ\/wTQQxAAAY0AjkI0FEiAAAiAAAiAAAiAAAiAAAjEGwH0BwRAAARCCeAoJJQJckAABEAABEAABEAABEBgYhOA9iAAAiAAAmEI4CgkDBzcAgEQAAEQAAEQAAEQmEgEoCsIgAAIgAAIREIARyGRUEIZEAABEAABEAABEIhdAtAMBEAABEAABEBgWASiehTyaW9\/96lPPzx5GgEEQGBMCfz1E5\/vzNlh+YKJUvgz4UY+6v7bmAKEcBAAgb9+8umnZ\/pj3DNAPRAAARAAARAAARAYGYHoHYXQBuZMX\/\/AucGRKYpaIAACkRPwnzt\/pm8g\/k5DyI181jcw4B88f\/585DRQEgTijEB0uuM\/N0huBKch0aGNVkAABEAABEAABKJMIHpHIZ\/2nqUNzOAgNjBRHmI0l4gE6KSAzO2z3oE46\/xnvf0DdJ6Kc5A4G9fIuoNSUSZAbqTff+7TXnwxJMrg0RwIgAAIgAAIgEA0CETvKKR\/YHAQ5yDRGFO0AQKcAG1jBvzneCqOXv1+8iKJdZwaR6OHrkw8AnHpRibeMEBjEAABEAABEACBMSAQvaOQMVAeIkEABOKTgFWvaGNmdQv5IAACIAACIAACIAACIAACIBAhgZg4CklKSrIhxBIBGhGrCZSUxDBYY0RgZGKTkpIY\/oEACIAACIAACIAACIAACIAACERMYPyPQlJTkl2TU9OmOKdOmYwQCwRoLC5yptqTTeYGZV7kGOXBioUuT1wdaLDIfMiIIjZ5FAQBEAABEAABEAABEAABEACBRCdgst2NJhLawjkmpaTyfbfNZktKnBDLPU222RypdueklBR7sn4y0DmIY5LdMSmFCtgwWLFBINlmI\/OhwZqUatcPVqKlk5NtBGHK5xx\/53ImcHBYHWLSfEhKSnJMsn8+QRE5Jju44yIOocFmS3I6UhJ78vCZk2If5\/VA6NAgBwRAAARAAARAAATGjkBUlz6h3UhNsfNjkCR8wz+UzXjm0N4gNSXZsDJOsSfTeNGt8dQMbYcQsCUlpaTQ0ASdW4WUiueMZFsSnQTRbjaV\/IlAQbM3IYOdDjEp0KmlYbzJbDmiSSl0kpmgZKjv9LBJNj7yktWT34TEwv2G6LidjskcqSnk5A0zB5cgAAIgAAIgAAIgMHICsV3TuC6MprY2WxIt2SmOZqNoK0IC9DG7zRY0PSgn2RaUE6EoFBtrAnQaQqaUbEvQ0aH9G+3wiUBSwp+pkpGmptpTU4znYsliw0+gkpISlJE92eZITU5JNtqI3W6jQyK6m5SUoGSkd6IZkprKT0bkJWIQAAEQAAEQAIGRE0DNCULAuC6Mptq0arfZEnr1GU3aI2jLMDZ0mdibhREgjF6VpKQkWzINUfRajJ2WUlKSk0O2uLGjXpQ1sSfbQmnYbEkpCf\/nD4SFgmE4km38RN6QmZiXyTYbJkliDj16DQIgAAKjQwBSQGCiERjPo5CJxgr6ggAIxCIB2sLZkhL0GMh0PJJYkiGfrpOSKDJkJ9ZlUpIpgST6l1ggwvXWFFG4CrgHAiAAAolOAP0HARCYsARwFDJhhw6KgwAIgAAIgAAIgAAIgED0CaBFEAABEJj4BHAUMvHHED0AARAAARAAARAAARAYawKQDwIgAAIgEEcEcBQSR4OJroAACIAACIAACIDA6BKANBAAARAAARCIRwI4ConHUUWfQAAEQAAEQAAELoQA6oIACIAACIAACMQ1ARyFxPXwonMgAAIgAAIgEDkBlAQBEAABEAABEACBxCCAo5DEGGf0EgRAAARAwIoA8kEABEAABEAABEAABBKMAI5CEmzA0V0QAAEQkAQQgwAIgAAIgAAIgAAIgECiEsBRSKKOPPoNAolJAL0GARAAARAAARAAARAAARBIeAI4Ckn4KQAAiUAAfQQBEAABEAABEAABEAABEAABEFAJ4ChEJYH3+COAHoEACIAACIAACIAACIAACIAACIBACAEchYQgmegZ0B8EQAAEQAAEQAAEQAAEQAAEQAAEQMCaQLwchVj3EHdAAARAAARAAARAAARAAARAAARAAATihcAo9ANHIaMAESJAAARAAARAAARAAARAAARAAARAYCwJQPZoEsBRyGjShCwQAAEQAAEQAAEQAAEQAAEQAIHRIwBJIDAmBHAUMiZYIRQEQAAEQAAEQAAEQAAEQAAERkoA9UAABMaWAI5CxpYvpIMACIAACIAACIAACIAACERGAKVAAARAIEoEcBQSJdBoBgRAAARAAARAAARAAATMCCAPBEAABEAg2gRwFBJt4mgPBEAABEAABEAABECAMTAAARAAARAAgXEjgKOQcUOPhkEABEAABEAABBKPAHoMAiAAAiAAAiAw\/gRwFDL+YwANQAAEQAAEQCDeCaB\/IAACIAACIAACIBBDBHAUEkODAVVAAARAAATiiwB6AwIgAAIgAAIgAAIgEIsEcBQSi6MCnUAABEBgIhOA7iAAAiAAAiAAAiAAAiAQ0wRwFBLTwwPlQAAEJg4BaAoCIAACIAACIAACIAACIDAxCOAoZGKME7QEgVglAL1AAARAAARAAARAAARAAARAYIIRwFHIBBswqBsbBKAFCIAACIAACIAACIAACIAACIDARCWAo5CJOnLjoTfaBAEQAAEQAAEQAAEQAAEQAAEQAIEJTwBHIUMOIQqAAAiAAAiAAAiAAAiAAAiAAAiAAAjEDwGro5D46SF6AgIgAAIgAAIgAAIgAAIgAAIgAAIgYEUgAfNxFJKAg44ugwAIgAAIgAAIgAAIgAAIgECiE0D\/E5kAjkISefTRdxAAARAAARAAARAAARAAgcQigN6CAAgQARyFEAQEEAABEAABEAABEAABEACBeCaAvoEACICAngCOQvQ0kAYBEAABEAABEAABEACB+CGAnoAACIAACJgSwFGIKRZkggAIgAAIgAAIgAAITFQC0BsEQAAEQAAEwhPAUUh4PrgLAiAAAiAAAiAAAhODALQEARAAARAAARCIkACOQiIEhWIgAAIgAAIgAAKxSODCdRocHDx\/\/vyFy4kjCUYadA1EFuNLbCzuJGI2aCTiqKPPIDBBCeAoZIIOHNQGARAAARBIaALo\/CgS6Pef858bHEWBE1rUuXODoTToHCQ0c0J3cwTKE4Fzg8Z5QsdolD8CafFXheAARfwNK3oEAnFMAEchcTy46BoIgAAIxBsB9AcExoLAwMC5\/oFzdASAr4acGzxPKAb8xg0\/wenr9\/vpdqIyOjc4eJYIhJAZOMfzic9YzMwJJHNw8DzZ0dn+cxNIZ6gKAiCQ4ARwFJLgEwDdBwEQmAAEoCIIgMCYEjg3eJ72+b1n+Vaf9rQJG\/znzp3tH+jtHxjwGze0hOjsWX\/vWbrFvzNy7txgQgW\/\/1zfWT9NEjoMMkxF4tB3lqD5B\/znziUYFq2\/\/nP8PIgsiCAY+OASBEAABGKWAI5CYnZooBgIJDoB9B8EQAAEokaANnVn+vq9fzvzyenEDadO9356pt8f8sUHOQqD58\/39g38\/3y9pxIP0am\/9X7W20+TRKIwxHROdKaXJk9vwk4emhK+M2dxDmKYGLgEARCIcQI4ConxAYJ6CUcAHQYBEAABEAABEAABEAABEAABEBhTAjgKGVO8EB4pAZQDARAAARAAARAAARAAARAAARAAgegQwFFIdDibt4JcEAABEAABEAABEAABEAABEAABEACBKBMYh6OQKPcQzYEACIAACIAACIAACIAACIAACIAACIwDgVhtEkchsToy0AsEQAAEQAAEQAAEQAAEQAAEQGAiEoDOMU8ARyExP0RQEARAAARAAARAAARAAARAAARinwA0BIGJQwBHIRNnrKApCIAACIAACIDA2BBITrY5HSlTXM60zydwcDkvcqbak80Xh7akJOeklCmfcyQgor9zOSc7UpJt5mSSbUl09+9ciUhGmQwu5+ecqSn25LGxzokgFTqCAAhMQALmPn0CdgQqgwAIgAAIgAAIgMBICNBW1pFqp30+HQPQdi5xQ0oycXBMstvtxvWhzZY0iRA5UlJTkhOQD\/XaMSnFMclOR2aGGUY5RMYxKdPelFwAABAASURBVCXFbk84MnZ1MqQkT5pkd0ziBAx8cAkCIAACMUvA+KiLWUWhGAiAAAiAAAiAAAiMBYGUlOTUlGQ7nYgkjYX4iSSTNvapKfbUkI\/3k2022ugKRAnKiPo+KcWekmxjwePJ81PtFCclKBgFB80QMiIKyjXeQAAEQCDmCeAoJOaHCAqCAAiAAAiAAAiMJYEUe3JyMlZECmJ7si2Uhs2WRPlKiUR9S7abkEkGGXU+JNtsKSHfJ1Jv4h0EQAAEYo4AHvwxNyRQCARAAARAAARAIJoEaAtnM\/1MP5pKxFJbSSzJoA5dJyVRZMhOrEuL\/ifRv8QCEa63FpDCVcE9EAABEBgfAjgKGR\/uaBUEQAAEQAAEYpQA1AIBEAABEAABEACBeCeAo5B4H2H0DwRAAARAIBICKAMCIAACIAACIAACIJAwBHAUkjBDjY6CAAiAQCgB5IAACIAACIAACIAACIBA4hHAUUjijTl6DAIgAAIgAAIgAAIgAAIgAAIgAAIJTABHIQk8+Oh6ohGI0\/6eOzc4OHg+Tjs37G6dp3\/MSIOuefawhcVVBQsClE144qqnI+7M+ZCZM2JRqAgCIAACIAACIAACMU4ARyExPkBQ74IJQEC8Ezg74PefG4z3XkbaP0Lh9xtpDA4O9g+ci1REnJYb8A8SHEPnKIfyDZmJeclRJPwkScyhR69BAARAAARAIDEJ4CgkTscd3QKBhCFAW7iz\/X7a6p9P7E\/3z58\/P+A\/J1EYBv\/cufN9ZzmiwYRkJMn09fuJj4EMTZ6+swP9A+eojOFWQl0SB5o5Z3EUklCjjs6CAAiAAAiAQGITiK+jkMQeS\/QeBBKTwODg+bMD\/t6zA2fODvT2JXCg7p8dONt\/7txgyLdCzp\/v958709efoHzODpzpo\/MOP00Vg41QDpGhycNDok4egkMT4yyBwLerDPMDlyAAAiAAAiAAAjFN4IKUw1HIBeFDZRAAgVggQBta2sh9duasL4HDp2f6+87Sp\/vGcxA5QOfpNGTg3Ge9\/QmIiMjQ9KBJIlEYYsqnu1QmAcnILn965iydBNHUMZDBJQiAAAiAAAiAQEwSgFKjQwBHIaPDEVJAAARAAARAAARAAARAAARAAATGhgCkgsAoE8BRyCgDhTgQAAEQAAEQAAEQAAEQAAEQGA0CkAECIDBWBHAUMlZkIRcEQAAEQAAEQAAEQAAEQGD4BFADBEAABMacAI5CxhwxGgABEAABEAABEAABEACBoQjgPgiAAAiAQPQI4CgkeqzREgiAAAiAAAiAAAiAQDABXIEACIAACIDAOBDAUcg4QEeTIAACo0sgKSkp2WZLsScneEhOthEKK7Z0M2H5CDLmYJKSGN1NWDKy43ayHwLB8C+aBNAWCIAACIAACIDAeBLAUch40kfbIAACo0KANnKTnSlTXI60zzsTNvydy\/E5Z2qK3ZZkxpS2uk5H6pTPTUpAPkRmsiPFnpxsBoYRGbpLZRKQjOwy9f2iyakpKclROQwxHQRkggAIgAAIgAAIgEC0CeAoJNrE0R4IgMDoErAn25yOFEdqii2xd3JJSUmpKXbnpJSUFOOeP1kgck6y22yJ6POJDE0PJ5GxG8nQAYmcPFRmdKdlsLSYvqK+p9r5zElNsce0olAOBEAABEAABEAABEaPQCIui0ePHiSBAAiMP4HU1OSUZFuS6Xchxl+7qGpAEFLsyal244af8ExKoc\/8o8woqn0P3xiRSU1JTrEbH3n2ZJsgE752\/N8lPnY7RxH\/XUUPQQAEQAAEQAAEQEAQMK4LRSYiEAABEJgwBFKSk2222NnkjzM3QkHBoERSUhJBMmQm2iVhIQ6GXiclMZsNz0FG\/2xJSTYb7IhIIIAACIAACIAACCQEASwBE2KY0UkQGGMC4yk+SfwbTw1irm3jhtZ4HXMKj6NCYKOHDxp6GkiDAAiAAAiAAAjEMwEchcTz6KJvY0wA4kEABEAABEAABEAABBKdwOC5wcHB84lOIYb7bxgbujxPrxhWOJFVO3\/+fNSsCUchiTzTRtZ31AIBEAABEAABEAABEAABEFAInBs8f+7c4CBOQxQesfXGR2ZwUK8T5VDQ5yAdIwQGz5Mp4SgkRkYjoAZSIAACIAACIAACIAACIAACIGBCoH\/g3ID\/3Hl82cCEzXhmDZ4\/L4Ym6CjE7z83MHCObo2nZmg7hACZz4B\/8OyAnxIhN8ckI\/y3QsakSQgFARAAARAAARAAARAAARAAgbghQPu33rMD\/QPnoraLixt0Y9cRGouz\/X4aFzql0rcy4B+kzL6zA1RAn480Y2y8INBYkPn09vXTkEVNBxyFRA01GgIBEAABEAABEAABEAABEIhPArTf9p05e+pvvZ+cPoMQCwRoLD7r7T93LugrIXLynRscPNM3QAWknojHnQCNBZkPGZEcoOjEOAqJDme0AgIgAAIgAAIgAAIgAAIgELcEzp9ng4PnaeM9UUIi6EkjQuMSOucok24lAoEJ1EcaERqX0MEauxwchYwdW0gGARAAARAAARAAARAAARCIIQJQBQRAAAQkARyFSA6IQQAEQAAEQAAEQAAEQCA+CaBXIAACIAACBgI4CjEAwSUIgAAIgAAIgAAIgEA8EEAfQAAEQAAEQMCKAI5CrMggHwRAAARAAARAAAQmHgFoDAIgAAIgAAIgMCQBHIUMiQgFQAAEQAAEQAAEYp0A9AMBEACB8SWQnGyb7Ej5O5dz6pTJCLFAIO3zzoucqfZkkw2vzZbkmITBiqGJSoP1ucmpKfbkaFqxycyIZvNoCwRAAARAAARAYMQEUBEEQAAEQCAWCNA5iCPVTrtr2svR3hshFgjQWPBBSbWTMvpJQucgk1LtdG6VYk+mWwixQIDGwpGa4pyUkpoSvdMQHIXo7QJpEAABEACBCUAAKoIACIAACIBATBGg\/Rvtru3JtqSkmNIr0ZWhI6rUVHtK8HcNaJhSxSEIBium5gcdUZEdpabYo6YVjkKihhoNgQAIgMAFEUBlEAABEAABEACB2CRAm206BolN3RJcKzr4oAMRPYRkm82Qo7+L9DgSsNmSUuw2iqOjA45CosMZrYAACIyQAKqBAAiAAAiAAAiAQIwTsCXxfzGuZMKqZ\/imTlISo5CwNGK840lJSVE7qMJRSIxPBqiXoATQbRAAARAAARAAARAAARAAARAAgTEigKOQMQILsSMhgDogAAIgAAIgAAIgAAIgAAIgAAIgMNYEcBQy1oSHlo8SIAACIAACIAACIAACIAACIAACIAACUSMwbkchUeshGgIBEAABEAABEAABEAABEAABEAABEBg3ArHX8LgehZw\/zyjEHhRoBAITj8B5xihMPL2hMQiAAAiAAAiAAAiAAAjEKQF0K4YJjOdRyIB\/cBBHIbE6Oc7Tv+C9NQ0WhVjVN9H1GmTn\/ecGE50C+g8CIAACIAACIAACIDDuBKAACEwEAuN5FEJ8+gfOYf9GHGIw0Lj4\/UFb69CcGFQ7MVU6d25wYOAcP7xKzP6j1yAAAiAAAiAAAiAw7gSgAAiAwIQiMM5HIWcHzp3t99Mee0JBi3NlaUc94D\/Xd9ZPsb6rdHm2fwBbbj2TWEiT+fT1+8mOYkEZ6AACIAACIAACIJBYBNBbEAABEJiYBMb5KIQ+zaYtXG\/fwJm+AYoRYoLAWT4W\/XTyMRj04xODg+fPDpw7Q3cpYLxig4A0HDIiOhCZmC4IWoMACIAACIDABCQAlUEABEAABCY4gXE+CiF6tIXrPTvw6ZmzPoTYIPDpmf6+fhqWoHMQGikK\/DSk308FMFgxQoAMh8yHRotGBwEEQAAEQAAExpYApIMACIAACIBAvBAY\/6OQeCGJfoAACIAACIAACMQjAfQJBEAABEAABEAg7gjgKCTuhhQdAgEQAAEQAIELJwAJIAACIAACIAACIBC\/BHAUEr9ji56BAAiAAAgMlwDKgwAIgAAIgAAIgAAIJAABHIUkwCCjiyAAAiAQngDuggAIgAAIgAAIgAAIgEAiERj\/oxBbUlKKPdkxKcWJEDMEUlOSbbakUENISkqyJ9swWDE1V2mwks0GK3T4kGMkgGsQAAEQAAEQAAEQAAEQAIGEJDDORyG0tU5JSXY6Uj43OdV10SSEWCBAY0EjQudTtqSg0xC6onMQukUFYkFP6EAEaCwucqampthNj67MfRpyQQAEQAAEQAAEQAAEQAAEQCCxCYzzUQjt4OgDdkeq3bDrTuxBGefeJyUlTUqx07ikpCTrVUm22RyTeL4tKeiIRF8mdtNxqllSUlKKPZnOpyal2uO0i+gWCIAACIAACIAACIAACIAACIwygXE+CqEttz15nHUYZaIxJe4ClEmx21KCh8Zut2GwLoDoGFalcSFTomORMWwDokHg\/8\/e+8BHVZ17vyvDEBPslDd4E9u0Rt9gCTWxocfwEmroQY9QaQUb9HgqWj1eqlj19fJ6qCfeNG\/eNM1LipRy+YiW2hwLSrS0QNW2WMIBTsGCJVaiSUuocCXWWJIrOXSExGQS7m\/ttWfPnj17z59kksxMfnzWrHnW2ms961nftZ61114zGUiABEiABEiABEiABEiABFKFwDgfQ7gmpblc\/IpBIs4mPFcjmC1zpaUhmHMoJw6BtDQxaRJdScT\/HzWSAAmQAAmQAAmQAAmQAAmkHIFxPgpJE2kphzSlO8ThStThTdP+xc06KiIBEiCBiURgcGho6MKFidTjCH29IKw0kL4w4REBgh04gHG4Ylc61fOIItVHmP0jgRQiMM5HISlEkl1JfgLsAQmQAAmQwIQkMOAbHBwcmpBdt+m0b3AolAbOipBvU3oiZQ36bMgMDl0gGTULBoeGBnz0IwWDMQmQQBIQ4FFIEgzS6JpI7SRAAiRAAiQwsQkMDAz2DwzigXbCf+9B4BCkf8DX7xu0zAg85fZ95NMQTdCP\/dH3jwZ8AyFHZjK\/X5GxMJtYScyQfs2PJla32VsSIIFkJjBRj0KSecxoOwmQAAmQAAmQQBwJDA5d6Ov39X400O8bHJjIYWAQHOSRR8hn+0NDFz4Cor6B\/oGJiAi97vtoAGRwVGSZeMgBGVwd8PkGJuzkGRj86CMf+AyEHKJZcDFJAiRAAuNEwKZZHoXYQGEWCZAACZAACZDAhCKAB9revoGz3t6ev03g4O0914vjIPu\/cRi6cAGnRWc\/7JuAiP7T23u+b2BwyJ7M4NAFXP1P70Qko08Gb++Hvf08B5lQayY7myQEaGY4AjwKCUeH10iABEiABEiABEiABEiABEiABJKHAC0lgagI8CgkKkwsRAIkQAIkQAIkQAIkQAIkQAKJSoB2kQAJxEaARyGx8WJpEiABEiABEiABEiABEiCBxCBAK0iABEhgmAR4FDJMcKxGAiRAAiRAAiRAAiRAAuNBgG2SAAmQAAmMlACPQkZKkPVJgARIgARIgARIgARGnwBbIAESIAESIIG4EeBRSNxQUhEJkAAJkAAJkAAFnUJ3AAAQAElEQVQJxJsA9ZEACZAACZAACcSfAI9C4s+UGkmABEiABEiABEZGYKxrT5rkmpKRnvXxKZdMnbhh2tTMj01Jd7u5ORzr6cf2SIAESIAExp4A73Zjz5wtkgAJkAAJkIAtAWaOD4FJrrSMdHfmRW73JBfORCZscE+adFH65Mz0yZPdk8ZnJNgqCZAACZAACYwVAR6FjBVptkMCJEACJGBPgLkkMM4EJk+elD550iSciKSNsyXj3jwYAMVkfjFk3EeCBpAACZAACYwyAR6FjDJgqicBEiABewLMJQESSBQC6e5J7kncEenDgSMh0tBZ8I0ESIAESCB1CfDGn7pjy56RQCISoE0kQAIkkHAEXC5XWtqE\/0JI0LCQRhAOJkiABEiABFKPAI9CUm9M2aMEJECTSIAESIAESIAESIAESIAESIAEEoUAj0ISZSRS0Q72iQRIgARIgARIgARIgARIgARIgAQSjgCPQuI+JFRIAiRAAiRAAiRAAiRAAiRAAiRAAiSQuATidRSSuD2kZSRAAqlN4IL2L7X7GGPvLljKW9OWyxM6STbm4ScNMw3KJEACJEACJEACjgRS4AKPQlJgENkFEpjQBAYGB4eG+AinzwGgQNAT\/jccFoGRPzVB34EFHCydv3BBDA0NWTInZnLowoUh+tHEHHv2mgRIgARIIGoCLJhKBHgUkkqjyb6QwEQk0N8\/ODCI57iJ2HdLn\/FgP+Ab7PcNWvKB56P+wQu4bLkwYZLoev\/A4IDPeurhGxz6aABkJgwIh46Cj88nUThcZzYJkAAJkMCEJsDOk0BKEuBRSEoOKztFAhOIAJ5me\/sG+voHJvhxCE46+gd8vR8NDAyEHIUMDgFR70e+oQn5DQiQwfSQZEIOiXByBDK4ijITyGeCu4q+9\/vkzOkf8AVfYYoESIAEJjQBdp4ESCC1CfAoJLXHl70jgQlBAKch53sHznr7ev7WO2HDf3r7PuzFw6z9HzkMDuE0pP\/shx9NQD4gc74Phx7WEyLlGyCDyYMyE5CM6jL6fu58P07QLvDvzNScYEwCE5sAe08CJEACE4QAj0ImyECzmySQygQuXLiAB1o87E7wMDg4BBROI42LE5aPRsYeDJ7\/B4eGJiwZ1XEcJmLq2ANiLglMDALsJQmQAAmQwEQjwKOQiTbi7C8JkAAJkAAJkAAJSAJ8kQAJkAAJkMCEJcCjkAk79Ow4CZAACZAACUxEAuwzCZAACZAACZAACfAohHOABEiABEiABFKfAHtIAiRAAiRAAiRAAiRgEOBRiIGCAgmQAAmQQKoRYH9IgARIgARIgARIgARIIJQAj0JCmTCHBEiABJKbAK0nARIgARIgARIgARIgARIIQ4BHIWHg8BIJkEByEHC50i5Kd1885SLPBA4fm5KecZF7kourenJMWlpJAiRAAiRAAiRAAiQwjgS4aR5H+GyaBOJAgCpcOAeZ7M68aPKUiyZnZkzggO5fNPmi9EmTXFzY6RYkQAIkQAIkQAIkQAIkEI4Ad8zh6PBawhKgYSRgEHBPcl2U7k6fPCktzcibiEJaWtpk9ySFYiL2n30mARIgARIgARIgARIggagJ8CgkalQJUJAmkAAJhBK4aLLbPYlLmQ4GKNxu0tBp8I0ESIAESIAESIAESIAEbAkkwY7Z1m5mkgAJkIAiIP8gxDWxvxCiQGhxGv4J0tBYMCIBEiABEiABEiABEkg6AmNlMI9Cxoo02yEBEiABEiABEiABEiABEiABEiCBUALMGXMCPAoZc+RskARIgARIgARIgARIgARIgARIgARIYPwI8Chk\/NizZRIgARIgARIgARIgARIggYlGgP0lARJIAAI8CkmAQaAJJEACJEACJEACJEACJJDaBNg7EiABEkgkAjwKSaTRoC0kQAIkQAIkQAIkQAKpRIB9IQESIAESSEgCPApJyGGhUSRAAiRAAiRAAiSQvARoOQmQAAmQAAkkNgEehST2+NA6EiABEiABEiCBZCFAO0mABEiABEiABJKEAI9CkmSgaCYJkAAJkAAJJCYBWkUCJEACJEACJEACyUaARyHJNmK0lwRIgARIIBEI0AYSIAESIAESIAESIIGkJcCjkKQdOhpOAiRAAmNPgC2SAAmQAAmQAAmQAAmQQPIT4FFI8o8he0ACJDDaBKifBEiABEiABEiABEiABEgghQjwKCSFBpNdIYH4EqA2EiABEiABEiABEiABEiABEkhFAjwKScVRZZ9GQoB1SYAESIAESIAESIAESIAESIAEUpoAj0JSenij7xxLkgAJkAAJkAAJkAAJkAAJkAAJkMDEIDCxj0ImxhizlyRAAiRAAiRAAiRAAiRAAiRAAiQwsQkE9Z5HIUE4mCABEiABEiABEiABEiABEiABEiCBVCHAftgT4FGIPRfmkgAJkAAJkAAJkAAJkAAJkAAJJCcBWk0CEQjwKCQCIF4mARIgARIgARIgARIgARIggWQgQBtJgASiJcCjkGhJsRwJkAAJkAAJkAAJkAAJkEDiEaBFJEACJBAzAR6FxIyMFUiABEiABEiABEiABEhgvAmwfRIgARIggeET4FHI8NmxJgmQAAmQAAmQAAmQwNgSYGskQAIkQAIkEAcCPAqJA0SqIAESIAESIAESIIHRJEDdJEACJEACJEAC8STAo5B40qQuEiABEiABEiCB+BGgJhIgARIgARIgARIYFQI8ChkVrFRKAiRAAiRAAsMlwHokQAIkQAIkQAIkQAKjS4BHIaPLl9pJgARIgASiI8BSJEACJEACJEACJEACJDBGBHgUMkag2QwJkAAJ2BFgHgmQAAmQAAmQAAmQAAmQwFgT4FHIWBNneyRAAkKQAQmQAAmQAAmQAAmQAAmQAAmMGwEehYwbejY88QiwxyRAAiRAAiRAAiRAAiRAAiRAAuNPgEch4z8GqW4B+0cCJEACJEACJEACJEACJEACJEACCUSARyGjNBhUSwIkQAIkQAIkQAIkQAIkQAIkQAIkkIgE4nsUkog9pE0kQAIkQAIkQAIkQAIkQAIkQAIkQALxJZDU2ngUktTDR+NJgARIgARIgARIgARIgARIgATGjgBbSg0CPApJjXFkL0iABEiABEiABEiABEiABEhgtAhQLwmkGAEehaTYgLI7JEACJEACJEACJEACJEAC8SFALSRAAqlKgEchqTqy7BcJkAAJkAAJkAAJkAAJDIcA65AACZBAyhPgUUjKDzE7SAIkQAIkQAIkEI7A4NDQ0IUL4UpMsGsXxASlMcHGmd0lARIggQlNgEchE3r42XkSIAESIAESIIH+gcHBwaEJy8HScd\/gEIIlk0kSIAESIAESSDECPApJsQFld0iABEiABEiABCITMJcY8A1+1O8b8PGrIQKHIBLFwKCZD2USIIGIBC7IfxFLscD4ELB8zw1JfhFwfEYiilbhSUNDGKIoio64CI9CRoyQCkiABEiABEggSQjQTFsC2HV91D\/Y+9HARwO+\/oHBCRs+6vf1AUK\/DwcitqCYSQIk4EQAXjN0gV8uc8IznvlY4S8EP1ojB2E8bWLbDgRwDjIIRwoeL4eyccjmUUgcIFIFCZAACZBAIhOgbSQQkcDg0BBOAf72Yd9\/ensnbDj7Yd\/5vgE80UXExQIkQAIWAjhCHZDfLBujT7MtrTPpRACP1v2+wYHBoG+6+QYHceKLS061mD8uBC5cEAO+IbjSmA0Nj0LGZaDZKAmQAAmMOgE2QAIkQAIkQAIkMDYEcIjY2zfQ+5E8DhmbFtlKRAJ4ov6o34dxwdO1ufDg4IXefh9OfgfH6tsH5tYp2xLAYPUP+OTXMz8asC0wGpk8ChkNqtRJAiQwbgTYMAmQAAmQAAmQAAmMPQHf4CCeus96+3r+1suQCAT+09t3zuGbbkNDQ3jqPvshBytR5ioG68Pe\/v6BwbH8YhWPQsZ+nWSLJBB\/AtRIAiRAAiQQDYG0tLRoirEMCZAACTgRcFpFLlwQg0NDA75BhsQhMDg4dAEDEzKWyBsauuDjYCUSAafBChm9uGXwKCRuKKlo7AmwRRIgARIgARKIiUC6e5LL6TkmJkUsTAIkEAWBtLQ0OF0UBZOpyGT3JPQrmSymrSSQzATS0sTkyZNGowc8ChkNqqOrk9pJgARIgARIgASGR+DizMnYUbmwsRpefdYiARKImkBamjwHuTgzPeoayVEQPbpo8iSXi18xS47xopVJTQDLCA4fL86YPBq9SJqjkNHoPHWSAAmQAAmQAAlMKAJ4hsGOarLbhd3VhOo4O0sCY0\/APck1JWPyx6ak2lHIxzLTMzPkmerYI2WLJDCBCGhddU9KwzLimXKRlopzxKOQOAOlOhIgARIgARIggUQmgNOQnGkf+3TOxy+7dCoDCZDA6BH4xCUfS71zELW44TQEy8jooaPmiUuAN6ZgAp+4xDNK5yDwZR6FAAIDCZAACZAACZAACZAACZAACZDAeBBgmyQwHgR4FDIe1NkmCZAACZAACZAACZAACZDARCbAvpMACYwrAR6FjCt+Nk4CJEACJEACJEACJEACE4cAe0oCJEACiUGARyGJMQ60ggRIgARIgARIgARIIFUJsF8kQAIkQAIJRoBHIQk2IDSHBEiABEiABEiABFKDAHtBAiRAAiRAAolKgEchiToytIsESIAESIAESCAZCdBmEiABEiABEiCBhCfAo5CEHyIaSAIkQAIkQAKJT4AWkgAJkAAJkAAJkEDyEOBRSPKMFS0lARKwIzA4NDR04YLdlQmad0GQxhgOPZsiARIgARIgARIgARJIQgI8CknCQaPJJEACJgIDA4ODg0OmjAkt+gaHxoLGhGbMzpMACZAACZAACZAACSQ9gXE+Crkg\/yU9xFTtgOWTZZmUr1TtbnL3C540NDRBh2fAN\/jRwCCOAEb9qyEJP0dwCNLf7+sfGEx4S2kgCZAACZAACZAACZAACYwngXE+CsHTy9AFfpw7njPAqW08V+Pp2nwVOYMT9WHbzCEBZYwUhgYDNCq2JbxS9P2jfl9v30D\/gDwF6B8YnKjB19cvA9bVhB80GkgCJEACJEACJEACJEAC40lgnI9C8MQy4BviZ7njOQXs2saI4JN2BPNFPF\/5Bgfx1G3OTFk5eTqGwcLQwJUm8tAMDg71fjRw9sO+\/\/T2TuDQd663H5MheSYvLSUBEiABEiABEiABEiCB8SEwzkcheNjGZ7l9\/QM8Dhmf8be0qiXxRI3P2M\/3DeDpWsvQIzxt9n3kQz4+hNez+DbeBDBY\/T45KB\/1D4y3LWyfBEiABEiABEiABEiABEiABJKDwDgfhQASPsM83ztw1tvX87fe8QlsN5jAf3r7zvX1Y1wwOpYwOCQ\/e\/\/bhxysRJmrcrDO9w8MDF6YoL8TYpmhTJIACZAACZAACZAACZAACZBAGAL6pfE\/CsHH2njAHvANMiQOgcHBIYyLPkdMb3jeHhq6kDh20hIQwKEVRss0SqkspqWlpXL3j3aWaQAAEABJREFU2DcSIAESIAESIAESIAESGBUCVGolMHZHIemTXS4XH2OsA8A0CYwSgbS0tMnuSaOkfLzUpruxinAZGS\/8bHfCEUjJZWTCjSI7TAIkQAITmgA7TwKOBGI+CrH9soCjetOFj2VeNBmPMTwNMTGhSAKjREB7gHFdnDl5ePqH7eZRNjds\/Rdnpk+ePMmVxtOQKEmzGAkMn0BaWlq6e9LHMtOHp2LYbh5lc6OtP0ozWIwESGD0CIy2m4+2\/tEjE4VmFiEBEpAEwrt5tEch4bXIdiK98AwzJSMdTzGRCvI6CZDASAm4J6VNyZjsmXLRCBWN3PHNBoxcG5aRizMm41AVD2lmzZRJgATiTsA9yYVl5GNThnkUYtgzcsc3VEGIrzYoZCABEkh8AlE7flRdia+2qJpkIRIggfEmYOv40R6FGMaP5AkEHy7lTPvYZZdOZSABEhhVAp+4xDOSc5CRuLmxVoQRRqIfpyFYRj6d8\/FRBUjlJEACn7jkYyM5BxmJm4dZPYxLo63faIgCCSQ8gZQ1cLTdfLT1p+zAsGMkkDwEwru541GIpZolmTzdp6UkQALDJ2BxfEsyol5LeUsyYnUWIAESSAECFse3JCN20FLekoxYnQVSlwB7NoEIWBzfkowIwlLekoxYnQVIgARSgIDF8VXS8SgkTIdVzTAFeIkESCB5CYyNg49NK8k7CrScBJKawNg4+Ni0kmADQXNIYKIQGBsHH5tWJsqYsZ8kkGAEIjp4uKMQVVnFql9mWeUwJgESSEkCZmdXsopj7ayqpWJV1yyrHMYkQAIpScDs7EpWcaydTUuTv5RsrmuWY9XG8iRAAklEwOzsSlZxrF1QtVSs6ppllcOYBEggJQmYnV3JKkZnwx2F4DLChQsXjNJIqoBMJTAmARJIJQKhrg33D82MtcvQAD2WWsi05DBJAiRgIpCsYqhrw\/1DM2PtHjRAj6UWMi05TJIACaQAgVDXhvuHZsbaU2iAHkstZFpymCQBEkgBAqGuDfe3ZEY+CgEIcx2osOQgyUACJJAaBJSzKzdXPVI5Sh5JbNaj9JtzRqKZdVOLAHuT9ASUays3V51ROUoeSWzWo\/Sbc0aimXVJgAQSioBybeXmyjCVo+SRxGY9Sr85ZySaWZcESCChCCjXVm6uDFM5SlZxuKMQVRr1jaDqIDk0NKRkxiRAAqlEAK4NB1c9gmAE5KgFAUJMQdUy9EBQ1SGgLSUzFoIMSCB1CMC14eCqPxCMgBy1IECIKahahh4IqjoEtKVkxiRAAqlEAK4NB1c9gmAE5KgFAUJMQdUy9EBQ1SGgLSUzJgESSCUCcG04uOoRBCMgRy0IEMIdheAy6iBGUBWQREASqhEzkAAJpBgB5dpwcwR0TTk+BJWEMIxg1FXakESAnqEhnqgCAwMJpBoBLiOpNqLsDwmMOQEuI2OOnA2SQKoRiGYZCXcUoh5XFBXICJARu1yuwcFByAwkQAKxE0joGnBtODjcHFYiRoCggllWOdHE5lqQEVALMVpBW5AZSIAEUowAXBsODjdHvxAjQFDBLKucaGJzLcgIqIUYraAtyAwkQAIpRgCuDQeHm6NfiBEgqGCWVU40sbkWZATUQoxW0BZkBhIggRQjANeGg8PN0S\/ECBBUMORwRyGqqIpVBRUjB6cs0A6BgQSiI8BSSUAATg3XVoYqZ1exyhl5rLSpGNrQFlqEwEACJJAyBODUcG3VHeXsKlY5I4+VNhVDG9pCixAYSIAEUoYAnBqurbqjnF3FKmfksdKmYmhDW2gRAgMJkEDKEIBTw7VVd5Szq1jlGHGEoxDjC+0QVH3EKgwMDBhaKDgQYDYJJBMBOLXybsSwG7Hh+BCQM7yg6pq1QVYBLQ5PJ2uRAAkkJgE4tfJuxLAQMVYAxJAhIB5eUHWhBwJiKEGsAlpEkoEESCBlCMCplXcjRqcQG44PATnDC6quWRtkFdDi8HSyFgmQQGISgFMr70YMCxFjBUAMGQJiFSIchaCQqmPEEFTAWUt\/fz8KhARmkAAJJB8BuDOcWnm3itEHCEYMYdjBrAeyEdAi2h22WlYkARJIKAJwZzi14eAQYJ45RnLYwawHshHQItodtlpWJAESSCgCcGc4teHgEGCeOUZy2MGsB7IR0CLaHbZaViQBEkgoAnBnOLXh4BBgnjlGUoUIRyGqDooagpJd2j8ct6AZ5DCQAAkkNQE4MtxZc2uXxdlVv8yZKif62KhrCKgLWTWHdtE6chhIgASSmgAcGe6s\/BoObvTFkA3BuBS9YNQ1BNSFrJpDu2gdOQwkQAJJTQCODHdWfg0HN\/piyIZgXIpeMOoaAupCVs2hXbSOHAYSiJ4ASyYgATgy3Fn5NRzcsNCQDQGXIhyFoMSFCxdUBcShoa+vD+2hGAMJkECSEoALw5FDvRs56BFiLAIQRhKgAXqgAXFoQOuwAVcZSIAEkpQAXBiOHOrdyEGPEGMRgDCSAA3QAw2IQwNahw24ykACJJCkBODCcORQ70YOeoQYiwCEkQRogB5oQBwa0DpswFWG8AR4lQQSlgBcGI4c6t3Igc2IsQhAMELkoxDUUaUhWAKOW5DT29vbz7+UUYwYk0CyEYDzwoXhyMqdIZiD6g1ylDDs2NAAwRJUu7ABlgxbPyuSAAmMIwE4L1wYrq3cGYI5KMOQo4Rhx4YGCJag2oUNsGTY+lmRBEhgHAnAeeHCcG3lzhDMQRmGHCUMOzY0QLAE1S5sgCW2+plJAiSQ4ATgvHBhuLZyZwjmoIxHjhJUHPkoBOWM4xNUNoJqA\/GkSZMGBgZwAINjGBRmIAESSAoCcFi4LZwXLgxHhmurGIIKqheG+6vksGNDj1KuYtUiYtgAS2APrBp2E6xIAiQwxgTgsHBbOC9cGI4Mv1YxBBWUPYb7q+SwY0OPUq5i1SJi2ABLYA+sGnYTrEgCJGAmMAYyHBZuC+eFC8OR4dcqhqCCssFwf5UcdmzoUcpVrFpEDBtgCeyBVcNughVJgATGmAAcFm4L54ULw5Hh1yqGoIKyx3B\/lUQc1VGIWQVkVEOMgDaMMDQ0BAtwEoPzGJ\/Ph2RoY6jIQAIkMF4E4JJwTLgnnBSuCodF0nBhCHBqBJinYiUYMpIjCdCDoDQoATEC2jUC7IFVsA0Wwk4kYbOqwpgESCARCMAl4ZhwTzgpXBUOi6ThwhDg1AgwVcVKMGQkRxKgB0FpUAJiBLRrBNgDq2AbLISdSMJmVYUxCURJgMVGlQBcEo4J94STwlXhsEgaLgwBTo0AG1SsBENGciQBehCUBiUgRkC7RoA9sAq2wULYiSRsVlUYkwAJJAIBuCQcE+4JJ4WrwmGRNFwYApwaAaaqWAmGjKQKUR2FqKJGZSUgNgLaUwElcR7z0UcfnT9\/\/ty5cx9q\/7z8RwIkMK4ENEf88Ny5c3BMuCecFK6qfBax4cgQkK9iswA5XsGiHEkjwBIV0BYshJ2wFjYr48eVHxsnARLwKk+ES8Ix4Z5wUriq8lnEhiNDQL6KzQLkeAWLciSNAEtUQFuwEHbCWtisjOcohifAqyQw2gSUJ8Il4ZhwTzgpXFX5LGLDkSEgX8VmAXK8gkU5kkaAJSqgLVgIO2EtbFbGjzYi6icBEghPQHkiXBKOCfeEk8JVlc8iNhwZAvJVbBYgm0MMRyE4fVE1odTSEpJGUN9LQYygMs0CZAYSIIGxIWDrgMhE64iNAI82AjIhK083XF4l4xIbOtGKaguCCkgaQVmIGEFlmgXIDCRAAmNDwNYBkYnWERtBebGKkQlBrRiGy6tkXGJDJ1pRbUFQAUkjKAsRI6hMswBZBcYkQAKjTcDWAZGJdhEbQXmxipEJQa0YhsurZFxiQydaUW1BUAFJIygLESOoTLMAmYEESGBsCNg6IDLROmIjKC9WMTIhqBXDcHmVNOIYjkIMXaoykpag2kNsBMM4CAhGPgUSIIExIACnQ1ANGYJKwnkhILYE5d0qxiUlxDG26ETSEpRViI1gWA4BwcinQAIkMGwC0VeE0yGo8oagknBeCIgtwbxi4JI5GRfZohNJS1BWITaCYTkEBCOfAgmQwBgQgNMhqIYMQSXhvBAQW4J5rcAlczIuskUnkpagrEJsBMNyCAhGPgUSIIExIACnQ1ANGYJKwnkhILYE81qBS+akIcdwFII60GIEI6naDo1VSeQzkAAJjDsB5Y+IYYltjEzDqSEjIDkaAZqNAP1KDmMVCuAqAwmMnAA1jJAAnFEF6IEQGiPTcGrICEiORoBmI0C\/kkPtUTnGVSQZSIAExpeA8kfEMMM2Rqbh1JARkByNAM1GgH4lh7EKBXCVgQRIYNwJwBlVgCUQQmNkGk4NGQFJ2xDbUUioCqhWAZeUHUhCsARkWoKlAJMkQAJxIWBxNCRD1SITAflwWwgqQB6voAxADANgFQQECJaATEuwFGDSlgAzSSBWAhZHQzJUAzIRkA+3haAC5PEKygDEMABWQUCAYAnItARLASZJgATiQsDiaEiGqkUmAvLhthBUgDxeQRmAGAbAKggIECwBmZZgKcAkCZBAXAhYHA3JULXIREA+3BaCCpCjDCM6CjEag2BYAAFJBENQMpLmgEwGEiCBuBMwe5mSjSaQVLISsEYYgspHztgHo2kIsAcGKAExAnIQqwDZElS+bcxMEiCBYROwOBqShipDVgIc1hBUGeSMfTCahgB7YIASECMgB7EKkC1B5TMmARKILwGLoyFp6DdkJcBhDUGVQc7YB6NpCLAHBigBMQJyEKsA2RJUPmMSIIH4ErA4GpKGfkNWAhzWEFQZ5EQThn8UgmbQwIULFyAgQEZsDshRNpkzKZMACYwegTCa4YxwSUsBIweOrGTEYxlgD5pD6xAQICM2B+TAcnMOZRIggfEiAGeES1paN3LgyEpGPJYB9qA5tA4BATJic0AOLDfnUCYBEhgvAnBGuKSldSMHjqxkxGMZYA+aQ+sQECAjNgfkwHJzDmUSIIHxIgBnhEtaWjdy4MhKRhwxDP8oRKmGERCMJlUSORAQDAEyAwmMEgGqjYaA4YwQEFQVCIbzQh6vAGPQtGGJSiIHAoIhQGYgARIYRwKGM0JAUJZAMJwX8ngFGIOmDUtUEjkQEAwBMgMJkMA4EjCcEQKCsgSC4byQxyvAGDRtWKKSyIGAYAiQGUiABMaRgOGMEBCUJRAM54UcZRjpUYhqxmIBMlUOYsgMo0GAOkkgJgJwRhVULWOxQKbKGfcYliDADGUbBCRVgMxAAiQw7gSUPyJWlihXRRJB5Yx7DEsQYIayDQKSKkBmIAESGHcCyh8RK0uUqyKJoHLGPYYlCDBD2QYBSRUgM5AACYw7AeWPiJUlylWRRFA50cfxOQox2oMFKoTmqHwjNgrEJLAwCZBAeAKGi1kEo5aRb+QkmhBqoZFjERLNctpDAqlBwOJoRtLoXWiOcSlBhFALjRyLkCAG0wwSSDECFkczkkY3Q3OMSwkihFpo5FiEBDGYZn\/Y5pwAABAASURBVJBAihHQHS3kzeimccXIiVWI81FI9M0bplMgARKII4HofTAFSsaRG1WRAAkYBFJgcYi+C0avKZAACcSRQPQ+mAIl48iNqkhAJ8C3tLQxWBzG7ShkDPrGJkiABEiABEiABEiABEiABEiABJKAAE0kgbElwKOQseXN1kiABEiABEiABEiABEiABEhAEWBMAiQwTgR4FDJO4NksCZAACZAACZAACZAACUxMAuw1CZAACYw3AR6FjPcIsH0SIAESIAESIAESIIGJQIB9JAESIAESSBgCPApJmKGgISRAAiRAAiRAAiSQegTYIxIgARIgARJIPAI8Ckm8MaFFJEACJEACJEACyU6A9pMACZAACZAACSQwAR6FJPDg0DQSIAESIAESSC4CtJYESIAESIAESIAEkoEAj0KSYZRoIwmQAAmQQCIToG0kQAIkQAIkQAIkQAJJRYBHIUk1XDSWBEiABBKHAC0hARIgARIgARIgARIggeQkwKOQ5Bw3Wk0CJDBeBNguCZAACZAACZAACZAACZBAkhPgUUiSDyDNJ4GxIcBWSIAESIAESIAESIAESIAESCBVCPAoJFVGkv0YDQLUSQIkQAIkQAIkQAIkQAIkQAIkkHIEeBSSckM68g5RAwmQAAmQAAmQAAmQAAmQAAmQAAmkLgEehfjHlu8kQAIkQAIkQAIkQAIkQAIkQAIkQAKpT0CM21HIBf4jARIYBQITYNUKdHEU+FElCZDAhYCPTQCJ400CJDAaBCbA4hHo4mgApE4SGDUCSaM44GOjJsX5KMRAaxhs5FgEowAFEiCBOBKwOJqRNJoIzTEuJYgQaqGRYxESxGCaQQIpRsDiaEbS6GZojnEpQYRQC40ci5AgBtMMEkgxAhZHM5JGN0NzjEsJIoRaaORYhAQxmGaEJcCLyUfA4mhG0uhJaI5xKUohPkchyg40mZaWhhhB5SCGzEACJDDuBOCMKihL0tKkq5pzVP44xoYxaWnSNliichBDZiABEhh3AnBGFZQlaWnSVc05Kn8cY8OYtDRpGyxROYghM5AACYw7ATijCsqStDTpquYclT+OsWFMWpq0DZaoHMSQky3QXhJIQQJwRhVU39LSpKuac1R+NPFIj0LQKppJS7NagHwEXELMQAIkMO4EDGeEgKDsgZCWpjsv5PEKMAZNp6XplqgkciAgGAJkBhIggXEkYDgjBARlCYS0NN15IY9XgDFoOi1Nt0QlkQMBwRAgM5AACYwjAcMZISAoSyCkpenOC3nEYZgKYAxqpqXplqgkciAgGAJkBhIggXEkYDgjBARlCYS0NN15IUcZhn8UglbRRlpaGgQEyIjNATlDQ0PmHMokQALjRWBoaAguaWndyIEjKxnxWAbYg+bQOgQEyIjNATmw3JxDmQRIYLwIwBnhkpbWjRw4spIRj2WAPWgOrUNAgIzYHJADy805lEkgFQkkR5\/gjHBJi61GDhxZyYjHMsAeNIfWISBARmwOyIHl5hzKJEAC40UAzgiXtLRu5MCRlYw4Yhj+UQhUKwuUYNgEQeUbApKQLQGZDCRAAnEnYHE0JI0mDFkJ8FxDUGWQM\/bBaBoC7IEBSkCMgBzEKkC2BJXPmARIIL4ELI6GpKHfkJUAhzUEVQY5Yx+MpiHAHhigBMQIyEGsAmRLUPmMk5YADU9QAhZHQ9Iw1JCVAIc1BFUGOWMfjKYhwB4YoATECMhBrAJkS1D5jEmABOJLwOJoSBr6DVkJcFhDUGWQE00Y0VEIGlCNIYasLIAMwRKQaQmWAkySAAnEhYDF0ZAMVYtMBOTDbSGoAHm8gjIAMQyAVRAQIFgCMi3BUoBJEiCBuBCwOBqSoWqRiYB8uC0EFSCPV1AGIIYBsAoCAgRLQKYlWAokSZJmkkCiE7A4GpKhFiMTAflwWwgqQB6voAxADANgFQQECJaATEuwFGCSBEggLgQsjoZkqFpkIiAfbgtBBchRhtiOQpR2FaMBJaBtCKExMhGQz0ACJDDuBOCMKsASCKExMg2nhoyA5GgEaDYC9Cs51B6VY1xFkoEESGB8CSh\/RAwzbGNkGk4NGQHJ+IWAJmg2AnKVHMYqFMBVBhIggXEnAGdUAZZACI2RaTg1ZAQkRyNAsxGgX8mh9qgc4yqSDCRAAuNLQPkjYphhGyPTcGrICEjahhiOQixakLQEwxoIKgwODhqCIascxiRAAqNNAE6HoFoxBJWE80JAbAnmZQKXzMm4yBadSFqCsgqxEQzLISAY+RRIYGIQGOdewukQlBGGoJJwXgiILcG8VuCSORkX2aITSUtQViE2gmE5BAQjnwIJkMAYEIDTIaiGDEEl4bwQEFuCea3AJXMyLrJFJ5KWoKxCbATDcggIRj4FEiCBMSAAp0NQDRmCSsJ5ISC2BPNagUvmpCHHcBSifoMENaHL0h6SRlDGIUZQmWYBMgMJkMDYELB1QGSidcRGgEcbAZmQ4eYIhstDjlcwdKIV1RYEFZA0grIQMYLKNAuQGVKdAPuXKARsHRCZsA+xEZQXqxiZENSiYbi8SsYlNnSiFdUWBBWQNIKyEDGCyjQLkBlIgATGhoCtAyITrSM2gvJiFSMTgloxDJdXybjEhk60otqCoAKSRlAWIkZQmWYBMgMJkMDYELB1QGSidcRGUF6sYmRCUCuG4fIqacQxHIUYupSA2AhoSQXonTx58kUXXTRlypSLL774Y9o\/D\/+RAAmMKwHNET8Gl5wyZQrcE04KV1U+i9hwZAjIV7FZgByvYFGOpBFgiQpoCxbCTlgLm5Xx48pvzBpnQySQuASUJ8Il4ZhwTzgpXFX5LGLDkSEgX8VmAXK8gkU5kkaAJSqgLVgIO2EtbFbGJy5cWkYCE4OA8kS4JBwT7gknhasqn0VsODIE5KvYLECOV7AoR9IIsEQFtAULYSeshc3K+IkxUOwlCSQuAeWJcEk4JtwTTgpXVT6L2HBkCMhXsVmAbA5RHYVAC4KqpgTECGjPCC6XKyMjIzMzMz093e12I+l0+qL0MCYBEhhjAnBJOCbcE04KV83IyEDScGEIcGoEWKViJRgykiMJ0IOgNCgBMcLQEFrWA+yBVbANFsJOJGGzqsKYBEggEQjAJeGYcE84KVwVDouk7sDaG5waAaaqWAmGjORIAvQgKA1KQIygtaxHsAdWwTZYCDuRhM2qCmMSIIFEIACXhGPCPeGkcFU4LJK6A2tvcGoEmKpiJRgykiMJ0IOgNCgBMYLWsh7BHlgF22Ah7EQSNqsqjEmABBKBAFwSjgn3hJPCVeGwSOoOrL3BqRFgqoqVYMhIqhDVUQgaU6VR3whoBTLiwcFBnMfAgkmTJqlijEmABCIRGP\/rcFi4LZwXLgxHVu6M2AjKRMP9VXLYsaHH0A\/BaBc2wBLYA6uG3QQrkgAJjDEBOCzcFs4LFzbcGa5tBGWP4f4qOezY0GPoh2C0CxtgCeyBVcNughVJgATGmAAcFm4L54ULG+4M1zaCssdwf5UcdmzoMfRDMNqFDbAE9sCqYTfBiiRAAmNMAA4Lt4XzwoUNd4ZrG0HZY7i\/SiKOfBQCFSiHAMESVEs4icF5DAowkEAkAryecATgvHBhuLZyZwjmoMxFjhKGHRsaIFiCahc2wJJh62dFEiCBcSQA54ULw7WVO0MwB2UYcpQw7NjQAMESVLuwAZYMWz8rkgAJjCMBOC9cGK6t3BmCOSjDkKOEYceGBgiWoNqFDbBk2PpZkQRIYBwJwHnhwnBt5c4QzEEZhhwlqDjyUQiOT1QdxKEBBzA4hlG6GDsQYDYJJDQBuDAcOdS7kQO7EWMRgDCSAA3QAw2IQwNahw24ykACJJCkBODCcORQ70YOeoQYiwCEkQRogB5oQBwa0DpswFUGEiCBJCUAF4Yjh3o3ctAjxFgEIIwkQAP0QAPi0IDWYQOuMpAACSQpAbgwHDnUu5GDHiHGIgDBCBGOQlBBFTUEJCHjrAVh8uTJaA85doF5JEACSUMAjgx3hlMjwMENuw3ZEIxL0QtGXUNAXchoCwHtonXkMJAACSQ1ATgy3BlOjQAHN\/piyIZgXIpeMOoaAupCRlsIaBetI4eBBEggqQnAkeHOcGoEOLjRF0M2BONS9IJR1xBQFzLaQkC7aB05DCRAAsMmkAgV4chwZzg1AhzcMMmQDQGXIhyFoIQqbcQQVEAz6enpKMBAAiSQAgTgznBq5d0qRqcgGDGEYQezHshGQItod9hqWZEESCChCMCd4dSGg0OAeeYYyWEHsx7IRkCLaHfYalmRBEggoQjAneHUhoNDgHnmGMlhB7MeyEZAi2h32GpZcYITYPcTjQDcGU5tODgEWGiOkVQhwlGI+g4JakJAjDqIVcBxC5IMJEACKUMATq28GzE6hdhwfAjIGV5Qdc3aIKuAFoenk7VIgAQSkwCcWnk3YliIGCsAYsgQEA8vqLrQAwExlCBWAS0iyUACJJAyBODUyrsRo1OIDceHgJzhBVXXrA2yCmhxeDonci32nQQSmQCcWnk3YtiJGCsAYsgQEKsQ4ShEFUKsaqoYSZfLhbMWCAwkQAIpQwBO7XLpa4JydhXHq4NKm4qhE22hRQgMJEACKUMATg3XVt1Rzq5ilTPyWGlTMbShLbQIgYEESCBlCMCp4dqqO8rZVaxyRh4rbSqGNrSFFiFEE1iGBEggKQjAqeHaylTl7CpWOUasP\/YYabNgrgAZAVcRDw0NQTtkBhIggRQjANeGg8PN0S\/ECBBUMMsqJ5rYXAsyAmohRitoCzIDCZBAihGAa8PB4eboF2IECCqYZZUTTWyuBRkBtRCjFbQFmYEESGBUCYy9crg2HBxujqYRI0BQwSyrnGhicy3ICKiFGK2gLcgMJEACKUYArg0Hh5ujX4gRIKhgyOGOQlDUKKe+SYIkAvKNUxbIDCRAAilDQLk23BwBnVKOD0ElIQwjGHWVNiQRoEe1BYGBBEgglQgo14abI6BfyvEhqCSEYQSjrtKGJAL0qLYgMJBA3AlQ4TgSUK4NN0eAGcrxIagkhGEEo67ShiQC9Ki2IDCQAAmkEgHl2nBzBPRLOT4ElYSAEO4oRFVAaSOgAgKSSjVkBhIggVQiANeGg6seQTACctSCACGmoGoZeiCo6hDQlpIZkwAJpBIBuDYcXPUIghGQoxYECDEFVcvQA0FVh4C2lMw4XgSohwQSgQBcGw6uLIFgBOSoBQFCTEHVMvRAUNUhoC0lMyYBEkglAnBtOLjqEQQjIEctCBDCHYXgsgpGaSShBbE5B0kGEiCB1CCgXFu5ueqRylHySGKzHqXfnDMSzaxLAiSQUASUays3V4apHCWPJDbrUfrNOSPRzLokQAIJRUC5tnJzZZjKUfJIYrMepd+cMxLNrEsCJJBQBJRrKzdXhqkcJas48lEI6phVqGrIVAJjEiCBVCIQ6tpw\/9DMWLsMDdBjqYVMSw6TJEACY0lglNoKdW24f2hmrK1DA\/RYaiHTksMkCZBAChAIdW2jnp+QAAAQAElEQVS4f2hmrD2FBuix1EKmJYdJEiCBFCAQ6tpwf0tmuKMQlAYFFUNAMMtIMpAACaQqAbOzK1nFsfZX1VKxqmuWVQ5jEhhLAmxrzAiYnV3JKo7VAFVLxaquWVY5jEmABFKSgNnZlaziWDuraqlY1TXLKocxCZBAShIwO7uSVYzOhjsKwWXbYFS2vcpMEiCBpCYwNg4+Nq0k9UDE13hqI4GxJDA2Dj42rYwlN7ZFAiRgEBgbBx+bVoxOUSABEhhLAhEd3PEoxFLTkhzLPrAtEiCB8SJgcXxLMqJVlvKWZMTqIy9ADSRAAuNOwOL4lmRE8yzlLcmI1VmABEggBQhYHN+SjNhBS3lLMmJ1FiABEkgBAhbHV0nHoxCnDqtqTleZTwIkMO4ERm7AaLv5aOsfOQFqIAESGCGB0Xbz0dY\/wu6zOgmQwMgJjLabj7b+kROgBhIggRESCO\/m0R6FWH5iZIQ2sToJxJ0AFY4Ggfg6fny1jUZ\/qZMESCDuBOLr+PHVFvfOUiEJkMBoEIiv48dX22j0lzpJgATiTsDW8aM9CjGssdViXKUwxgTYHAmMBoHRdvPR1j8aTKiTBEggJgKj7eajrT+mzrIwCZDAaBAYbTcfbf2jwYQ6SYAEYiIQ3s1jPgqJqe1RKky1JEACJEACJEACJEACJEACJEACJEACqU9gdHqYGEchvq5jvzt06E9dvtHpJLXaE\/B2HPndodYOr\/1V5pIACYw9AS6GY8+cLZLAmBPwnfN6z3p9Q0bDvt6zXq93vDdB3BUYA0KBBEiABBKBAG0YZQKJcBTSe2Tzup+89OKLmzf8vH3Uunu29Vdbn3tu63O\/eotP\/gpyx4tPPLn9pRefe\/KZA2dVDmMSIIHxJTAmi+H4dpGtk8AEJ3DuxItPfPvbtXV1q5\/a2yVZ9J54ccP\/\/HbN6rq6H6oMmTkeL+4KxoM62yQBEgglwBwSGCsCY3kUcvSZipB\/m48KkenxZGr9nTx59Mzp7Wx7q7X1rda2zl6trYSLun6zRqezYe+ZYOvO\/PsG\/dLju7WNU\/Dl0FTb9jrt3\/a20GtGzsemeTTZ5dbeGJFAUhCwLiPfrl33zL8f8wY+XI2xF90HntSc5cnfRuVbtto7f62cd8PeHtvroZnWXmgOvmb3X0dhMfzrbmWc1oQRPYOVN9Ss8c8ZOtP60tN1\/9Nv5\/+s2\/DzI\/y64PiPS+pacOz5b+uzbYP1zjtKnT720jOH\/mL69sfQsRc3H+rst2nt6GbdtG8\/f8xyOWC23ERZLtoluSuwo8I8EhgJAb+Hxu9+Gr01\/jv7mt8Eti5mezp\/s04tHzXbjNWja\/fjKm\/NrzptWjrT9uLTq\/3r4f\/97bonth\/pNq1UNjWYRQKpQGD0zh5ioDPz1kceuOOWf3648pbPxFArZYt2HjrQYe5cx4Hf2y1a5iIW2fc3r\/bvb+EWsWnz7n\/kn2+9895v3TdvqqU+kySQNAR857ram36y7tmjwzzjHOz9UHOWD4dZX4J677R2evmZuXOzZHIkrwm9GJ479sL31jz3uxNe47Gw39vZvH3d6ueOnhsJVNYlAQcCQ8eO\/smnX+tsbv6rLo7mW0f7Sa1Fz+x\/\/u6jCz8hREf7CW3Ce0r++bvfWphj17bvrQNHzAtU75EDb2lK7Arb53FXYM+FuQlAgCaMAoHcBV+7Plvq7f3DT1\/QvnHfe\/jFvR\/IHE\/p176SKwXTq\/fYtro1zx46cda\/sAz5vH85sv0Hdc+1mJceUw2KJJAqBMbjKOQzN1c+VqmHW4tAsuvgs8++tHv7Mz860I2UEPhg8DfPbfie\/Kx2zRPP7W03\/0mLr6tl93NPrJHXvrfhOdOnwa0\/l3l1ddtbvcf2bl6HhKx7ItSH+7p+\/+LTP8D1dU+\/dOSM+cNkX9fR39i029m0AaXr6p4+pP6Q5M8vrtHSdT9v1cz1HmrQ0luPakuIz8nCrt\/qHz8f+Kv32L8\/s+6HBwJnuZoif+Q98uoxvyxE+++OqHYDWUAEDcrUNfjU9MxfTZ9st22v+8UJVfbEL2DYk5Jqd6CAt33vMz+Qma2\/eHr7b1584ckXW8UZvQt1T+5Wpy69rS9o\/OueGN\/v66p+MCaBEAJqGfmXf56rbvZ\/2n3A\/xjj7Tj04tNyBairkz4e+E5BqBe0H3jy6d9qxxjizKtPwVv8X6Ry9OLAOuPrOvLzDWvkItDRKb3GPesLs9XX28KuYMEdUb3Q18NvXp8jTIuh99AzsAjhucBTUPt2tfhs+He1eDjaGdyMTE0rvVdfdWVzX5MrL7J99osertj1FNnCES8u4tpLBvoXgz5QCreqoyZC76HGnxzV1jr3JUULb73lliXXF1yifWftXOsLjYf0pXzIeekTIrDGdmqjA3g\/ePrFZjXCUfAMqxwmnmnbbXv3wSWGpCTw1qGj2jGEZvyZI783fQoRWC46u36\/XduQrLPsGcLMB7iC3SrUdeCHzxxRO5re1u3fe\/JA+4EnN\/sz2rZ\/z2lXMHTi0O\/UNJaWeo8cOmHeusi8mHcFAWcxbUgCu4L+Ey9+H\/5TV\/c9\/0HkX\/eqHUzd863aVke1yni4BFgvlQn4nB4E0Glf9xF9cfjBM3tP9AZutbgmWrdrbofnC22vjsSaDVv3nhjGhwGu3IW3X58jH\/J6j77wwrFzR1\/4tfZokDnrliV5sinTq\/fwcz\/5g7YwuacVfemWW269+frPTpN336He1p8+d0hv3ed\/eqpbtxkmBUyVmsIumN7Dz9Rp\/55r1u\/kYujY9qCnjLDKhej9i8O+TrbNFwmMiID0khEpGEZld6ZnqkcPF0tfE8bnsoNQ17X7B2ue29fa2SM\/qz3zl9bdz6x7Rj+V7D36bN265\/e2\/uWMvNbT2dr0k7rvwcNRS8gfIZO5rdvX\/WT3n7ogyrpPr3nuLb\/jyVLib4efWbfj0InTuN514nfb1\/xgt3qkEOeOPlO37oV95nbrap6VHzXn5uX0orj3xAltm9T553atea+3XWW8d+qUvDz5\/8h1i3AW+rvZc2Trup80tXd5gwzTrNMj80dAx\/4Quu1AK9CgTD2DT03XbNrbKU3wyk+28eFPr75R8Um7P+wF1UEdcc+R59Y9s7v9tMz0E\/ubT0ybu\/SLnnNQ0bF384sdQ6LjNy8elfxF0U14OtOt4hsJJBABtYxkz1w4V93Uz7x3WlrX+Zt1dU++eOiEXAG8Xunj6\/7XOv2AL9QLBno\/PKc7i+iX3gJnwD03inXmxO7\/Z9325s4zqH4WC4AQU2d\/4bPSADyPO69gqoApVr3wr4durMe6p8JDPUXTPfBJr7f1qH8RO9byhrb4iMs\/gw+PsQ44roemNvxipn\/Vlc1lypXXedFDHf\/6YOqpEJ1N675nwVv3zNFzKI5ru+W13xnoD23\/ft2Tv5WnRFEx+euBA9o+TWRf\/8C\/3Hl9yezZX1h4z7\/cN+9Sj\/zXdeyo3Kehy85LH6zQ6XXufVobHeA7feLQz9esa8IyHw3PcMq7mtateXav+e4z\/O8iwVSG8SfQe6RZ+7TUU1DwaWmNt+0N7SYvZeFfLjr3Pb1uxxFtQyLXE2PPEGY+hFmFer3m2\/OHvViCzBnOu4LO3xvfFj1z5KhyK81OPQrrGra7At1ZeswbEr\/X\/82XPv3mm6b74EE96iCy99DLuzuQPJdz\/ZIiuXro7cb4xuIkkPoE4IzOt+bO3Rt+sF3fopxu3\/30mu1t8CsEbfch4KuQvd627dpeHfKZzrd2P732uVbHJwZnoLkLv\/b32CrITc1zq3\/eLo99M4uW3jwTO42gSl363deVc\/0Dj9553ezZJXMX3v3ofWU58uZ7cdcx7TcWO3+zwf\/05O36E0zCB88wz+vFLgjawi6Yns9eqe9mWvz9+PPRN+RThlfkXQkTwyvvfeu5NU8E7+v+n92docfBMIOBBGInYHWI2DXEXqPzd89pv2D63NZftWqfAQap+OvRo90yI\/e6hysfu3ee\/Mi3t3239gWK9hdfbJOLQWbe3JtvveXmL+TJz2DPHv3pr47JCvqrtze94PolN19foH4Jo7f1P5rlFlq\/Kny9Iqdk4S1fmp0jKwvR\/du9ci905sAzL7RL3SIzd\/b11xXlXiwr9Lb9\/IWWXvGZmdM1Tp3vYv\/hPXHS\/+GM99Qp2N\/dof2VLzZTOSIqC71d3VpLsgW7F9oa8n8EZHwPFplG2T+9+PM\/aRrc06ZfXVQ0fZq717+ZQpmsK4vyVN+FJ6+o6OrCXNVTXBLC292l1dQS5ihr3r1LpsuMs4eeaXjmF7+XzDylX7\/5CpnHFwkkKAHfmaPt8EpYN+1TlwrR\/sLT+\/DQK4R7WsF118+Fa+CKr2vvVv+JJ5JmL8jILfxMjtrWu7OnF11ddGUWlESzzpzp0pYpqc8z957HKisf\/oo6khFhVjBZOvgVWAwPBJ7B\/EU8s2drPilO\/EkuUvKb9H\/2yYuXzJbnP+3R2CmLq9ffWl\/UF95ftkr3FmEXPVVHxqae9hz4+T7tSzbygyP\/Gtvb\/vOf48j4zIEde+U1l0f7TGlhkfyzu96OV35+oEdEw6T3nVNqYS34+4W5LtmwfLnyvvI\/KrV\/98zFqvansEufrKBecpmf\/aVbFpboy3zXgb24SUTgGUF519Gj2tTKvf7hxyrv\/SI2b6LX9F0k1TDjZCLQ23pUO33zFP7DrZ\/Tvi9+tvWNd6w9kJPJZs\/gPB9CVyGo1FehzNzP+m\/PU\/OKcHf+L7mF\/gx5v\/6s+XaNav4Ajzh75Hd\/0pIdBw5hzUOOltKj8LM33K7AeUNS8LV7SuF1Qpx48elnntutsZq+5M652u5Ib5dvJEACFgLtYW7NZ\/b+fG+X9gyfmVtQdHVB7sW9vbab8t5ed8H1Ny+5vkDeSXGW0bpX\/\/aYpbEISePPZHw+uXlwF3z5lqtNjwSqdu+JU9ofzojPzFuoLYQqO++mR7Sbb6VcB3r24u4v813S8KKC3MyP7A23XzCnlvh3M63tWvc7\/nRCGiSmzf5veSKS8vY\/aAconqKv\/UvlI0sLZAe69\/7mLWkOXyQwcgKW2+nIFUah4WxH61vyF0xb37L7DdNJQj2Z9Pzx0JHOzC\/ep\/0pzX3zpglxrEVzBjH9+n+6vugzM4v+\/qYSeVAiev\/cbnqKyF14\/z0LvzB34T33Xn+JZkznqVPau4rcxf\/0yK3Xz77ulke+WqDl+Do7usTZtjf+oqWm3\/zow7cs\/NKdDz+kFgQfPFC4Cmb+V3n1zOn3xNCJt7ELETgqRU7n238W4tR7coOcPr3giigtFJmfveXR79bX2\/9V8LRZV8ulqLPtKB4MzvxO+x5s7qxZeEJDg1pobVZ\/ieOZ+41H773jzjvvffTh64BHu4Yob96d10oNEHOvvfPOO76iPZMgpYXMglv+FW1rf6KsZRhRZumdtxS4kew90S5PW6fO\/XrIl+hwlYEEEoLAn16QP\/\/17TUvtmv300\/PLfmE4YDSNe75DdDziQAAEABJREFU0sKb7330zmI5pcUHR49It\/UbbnjBlUVf+UrRx7XsjxfdfOcdd87LM5SEX2dEzhcf+O7\/rq+\/e5ZwueV33NQX3KDKeQXDRWsILIZvw9+tVzNnzVI\/n3Ti2DHsHt55Q51h5P5dCR7Eo1sPAyp93Sda1cL7p0659Qq\/6AXqBXrqfesNuTIIMX3Jf7\/zOqyx37z31ltuwan01dN8fm2ekltu\/ruZMz8z++YF2kfHQ53HcMYcBRPvWRyZoNVpOfrqBdkaIix9geLuWbc9cst1s6+\/9ZGb1Vd1+js7cHSVGY5nZOUurYGe1kN\/eC9znvpro2\/O+z+0TEahBBI+x\/9nJp6iWXn+YzLk4dAsyHT7PQOKOMwHv2ParkKeopu+oE\/w3C\/Iu\/Oni75ivl\/fVKSdPUC7ORTMuhrrmK\/1qLTt2Kvykch99awCU5EIszfsriDMhiRvyT3ztH1UZ\/sJuWhMv\/nOUvkYYmqZIgmQQBAB\/wpgt4Xobta\/0SWfNe658457Hl71tYL0oOp6InfhN+9ZOPcLC++553q1v+8MepTRS0V+c+Vef4N2L5ZFc790q\/\/PeGXS\/zrr1e++l37Kn2V97zIMX\/Low\/fceec9Dz\/6T9oDg7WgcFgwM2cVT5dlh04ck5\/sdLzRpn0ik1uCnVtE5fILs6h87tQbfzjmnX7rI\/jw6bHKW9XNHfkMJDAyAupmPjIdsdbOnY3dsxa+HPSUrvRkL\/zaP8jPaXtPH9m9eUNd3ffW\/dvuU65MbAT69K8+nPjV43V1qxHkD17ISt4zpqcIz7QsmSdETg4eFyAODWiPSpBk+Pg0taoIcemnlOTDM0Zvb5+8KKblTdfv81kzpys9\/19Pl8jECai83tnZ0XFKPgxcMvuLn4FF4sTJY53q0+HpM2cKEZ2F0+Z+abb2R3hSZehr2t99Xm6VOg8d6NB\/MDV31ixlqiosDZZS7uX+r2zkXF1oLiAvOrymlX5ldpa03O565uxbvySbltcyZy+9Oc8lJb5IIKEJuDNzrr7l0QfkaanfAQOuMfMz2t1XnFFuqjoS1gui9OKC67+cp9+elVIjdl7BjCIBQX4yXFR0NcKVdi6cWXS1Zn9\/69E\/i672drV3KPo7Wdbf2fDrYaAp9bUX2dZntU+eIyx6RsVAT40al2tfyBNi2vSS2bMR\/i7P47\/m\/f1PtMW5ru7n+l\/29Zz1iiiYeKaqBfdMl\/nQyrBCE6Je+j7uvwuI3E9IVkL4xCBUhOMZSXnOwtuvz8Ha2dt15Dc\/kXem9U\/v7hDyzgTFRqCQNATOHFEPJZ6iz+NOmjmrSHM135+OymNHUy\/s9wzCcT74HTPCKmRqIbI48+\/kw4z8y9ke9YOp7qK\/w44jUDHS7A2UDJHCbkhcuV9ZYjw75X7la3MzQ+ozgwRIwEzAvwLY3ZoHcSuSZQPPGlh5tI9aZa75NXWaunWJT+Ron\/kKMWR+lDEXDcgDeJwJpDRpqPM3u\/V7sRCde3fJ41Ttgima6tHvvvi415QdJOqtT7v8Cn0NyLxaLZlBpZBwWDBF5tWztO\/X+1rfOib+ekzfzRRqTzeRlBct\/VrRxSDgbd+3\/Wk8AH5\/wwvNPZm2R0iwgIEEYiQwHg+7U6fL3TM20CVF2pbcanLugke++51H7731+tnTc9wuH85Envuh+fvt02\/WTgRtfgLQqinm9N+MQ5XeU53qmDQzE37vmTFTrkreU2+8eQpPI57PzJyXL\/dNvlPtR947g2amF5g\/oRmZhVNL5sqPgr1Htj4rfzDVNX3ubNk4WgkO3jPKQiF6\/9IpjQi+PIzUsV17O\/Vqva2Hj8pPgfQk30ggwQh89mv16t93qx+5Y\/a0oJUs4Bodf1Ez2p2ZEav9w\/fiSCuYyRL5yfCdd96BMC\/PlG2ImSWzC2TXfCf+dOjom5qXf\/rzs9W2RS8UrZ3qay+yreBPnp0WPV29zduAfnKMAwav13vW6z2rn1KjbPCPs8rv9H3zOnkmHZFJ5hWXq2Wu\/T9MfwM81Ln7Se3H1uqeOYSVFw3IEBjfWJe+KHg6K89d+Mh3vvvovbdcXzI9J134cCay9and\/h\/rlXbxlUQEeo62qrXBe+jJCvyreVH7AxDRf\/RQlN+7jjAfAhNpBKuQH2jBF2ZPxZPAid0\/3H0CTztTZ3\/BvOPwlxIi0GisrhHQESSdOdBk\/Gpz55HfKWRBJZggARKwIxDu1hy47YqOzpHdRAbOGbdG9QvuQlzyKf+HmqKz6YUD8o9f3PJJBg8L\/v9NJsjgzOmXa1\/+En8+oP+wmna5s8l\/9z1sNPE347lD\/EX7vXitZFRR5uzZ2qrl+3P7oRb5tXchcj9fom77SoGz8otn3Vn13eqH\/nnhFwpyPW7R7z3R9KNnW\/iMorgxHikBucseqY5Y6\/t6td2ztodWP7dj0uA9rP3O8OM\/ac26\/pZ7H7lP\/anqB+\/hDlzwWXn6IMSJQ6\/2ZHoyB9pffOqJDRsQ1K8im5TELH5ipvp7PN9b25\/7fae3+8TeRvWHsSL3s4UeqEMB+dZ56DAMEbn\/NU985kq51nxw5Mi7uJw787OZeIuThZmzS+SC4TvrlYfA02cVSd1Qr4fp\/1W2jPPd3f\/2wtG\/yJ8vemaX2sTpBUSG\/lFl5x+PdkEJdk7+K+He33lx+x\/kyqId\/ojeP\/38BeOnnsNV4zUSSBQCfgfsPPD87mPd3s6WF36u\/eqNSC+a9RkHIzP1Q5Izf27tPCt\/0tCvJNI646AvzArmUCNstmvWXPndeOH9w69+Kzc0YnpJiVyKhBihnQJrGh6ucJzhtOiF2JXzWfULTN5D218E3q7fa2v16rq6zYf+5td2puW3x4awPPcc2qotzk88c+SMiIrJJ+bNUwt8994nv\/\/c3uYjR5r3Pvf9J\/fKn2r0enNmzvKIyEtfiM3WDGeeEZR7tf\/PZ\/X3ftI27fpb733kG3O1UTijfqzX2grTCU+g6\/fN8l5uZ2d7s\/Hwb3dZ5TnPB79jxrIKKZ3h4ry52nfBsHdCKU\/h5\/PwZgoRZi9KDmtX0Ht4+6\/k3w7rz1Fd+577lRM1NMFAAiQQ\/tb8iby8dMnI1\/LTp\/ed6DrbeeTZZ\/X\/m1Jmx\/L6xHT1JXZv83NPvnToSPOhF3+of2CQ+V+ny88foOyvu1\/4D\/kX\/OLTX\/rmvab\/Tcb6UJCj332HuvY+uea5fbj5Htm7dc2T\/67dfc\/lzLzak3NFnhsKhe\/otqf3nujy\/uXIc1sPGQck8koUr1n\/bZZU4j3yq1e1z3Wmzy7RNiGRlJ\/41ffr5J8I\/HvP7Jvuefhfb9Z2Cr7uv8bafhQmssiEJDAeRyF\/flH\/BjX20PK\/ogwC77n687nyV8u7Dj39v2rqan70O22uf\/pK3PgzS76i\/pfsrt8++e3\/+9trdrTK\/0zhXObs64qkdwWpiTWRt\/DL2i\/xDHlbd2yo+\/7Tu\/8sDwVE9vW3XqfOLPOmwwJolSvI9JkzhJh6+eVyL+zz9QtxyUx1kpIZLwuvnjtLWy6FcAf+h060rgVP2cJZmZrUffSFJ+R\/atXxkZY0orzpl7tkwtvywrrVT0X13+EOdf7qZ9q6ljnrnyrvmSuXJ1\/7DuP\/0JLa+CIBkdgIDAfs7dj7k+\/XbXj+qPb7ZJkFt4T+ZLq\/J3BkOduF+MvuDavrXmgThpLhrTNhVjB\/k7G9z5xVJNe3fu1Hz1zTZxUr5x+pnUJEXPRC7Mxb+BXtzFd0HwLedTvatVUyc9aXrp9maOtt3\/69b1f8T\/0Iw5d3\/dxPiOiYZM5d9s+zpspGfR+07v759u0\/3936gTwNFhcXfW3ZXHQ78tIna0d4OfGMoNwz6\/Of1u5Mv1N3Jm21dOXKO1OEBnk5AQl0HPqDthf3zH1AfblMxtVqiy1OHFU\/SxbObuf5kOnfBsSwCoVrSb+W899K1GcgQuTODfkOWYTZCx3D2BWcO\/KC+pzp01\/676tu1r7cfuaA9n\/MQR8DCZCAn0C79tNlFfi35jddxgpgt4WYufAG5ce9J37z9LrVG7a3eYW2Xferiv59+pe\/qh5bejt+9+L2n7946B11Qy64eZF2ViDOHPj5Xm0LNG3e0nk5pv9N5qc\/t\/6ZTGbpnf\/8dx7Ztu9M629w892++60z8u7ryiz6J+2XkgsWfunT8rroPbH76XV1T2xXv1ymZUUdFcwqko822nOTENOL9UcZEUH59M8XZXrx708v1v2vmprvbNc++83Mu0I\/8Im6eRYkAXsCw3RBe2Vxyb141j0P3VJ0aaZb+LT\/ds7tmX79vffIHwIQrtyF\/9cjt1ydY\/yJvju76JZ\/eWThJ+LQcGbxPY\/ee\/10j3zokOpc7pyrb3nk\/1qY6yc0Xf\/RASEuuVw7i82bnicL4uX5zEzdI+NloUvfrstPs+UXRNCIKbhmfu2RO2dn66YC0FeWanyMIpmz71x+\/fSpegEjO4zQ+cpz6kt0BV+9eaY77+bbtc88h068+IxaScWE\/sfOJwsBOOD\/eDRoicDycc8j9\/iPD+z6kXfzfWrB8V+EkpGsM2FWMH8Lsb3ruwetkvk7YiO0U4iIi57WpDnKnPX1R+78gvyCqsrF4nP9vY9+rUCmoO2Re0xLKK5dd++jX9e+0xYlk4tnfu1fH73zC9M9crckdYp0T27JLY88duesi7VkxKVPKxUhcuQZfl3NnPX1\/46plWm+My2\/d15WhNZ4OREJnDii\/vc6z9Xmr1dkzlI\/zTN04tDvtIOScKY7zwc4ZsyrULiW9GtZsz+vHkVyi8w\/o65fjegaMe8Keo9se1H73zenXX\/rvGkXz71zifZ8dfbQMz89Jp+R9Ib5RgIkEEwAK4DzFmLaFx94YMF0\/VHD5c4p+eebC4KrR52y3nOh7bML7111j7pd+r\/SJTL\/bslXtOMX43+T6f3DT1\/4k8WJM2feVvno1+cGHhxcbs+nZ9\/yPyrv1LdP0+bd\/8BCv+EiPWf212M3HI82n3Xr\/cPnOoH\/yyaC8twvffPe67SNQX9vLz5+Ts8puvW\/q42Hro1vJDACAv4H\/RGoiLrqrHvkBy\/Br7tnoXrOlx7Vcv3\/rckls+\/8H9Xfrf9u9WMyrrx34XS1D0ZRd87sOx757v+u\/25lpYz\/5c7ZlyBXhll3azrq75EaZYYIyvnEQr2NL+mnFiIkJ3P6wnsrZbPQXf+\/v\/vIHbPlj+RpqhBllt6rGjD+55eir+sZlV\/1H4qgnLOF1m6isClYrs687btS+3e+NlMOUc7Cb8mU0bTw4AxIM\/U7QHHvvJKvWHon+\/LYd7U6GtWQzqJlM5\/cLysF39UfGq+4uVKrXP+Q+k4dijOQQCIQ8C8j2tJhY5BrmrFE6MuH+qsOFLXzAmQLfcGRM\/6eYpkhnL3Y7DVaUbtIV2i3gunFHXthWQdkcTzkfEfaJl\/LZ2fKLP\/L2U5\/CRG60AUuCSEXCodFz76nLk\/RkodljapKHa92MKx0egr8S2jVd+XC9CXTtdgEQFsAABAASURBVMhMNB2uaUVL7q38juyrfH2n8uFbg9bh8EtfKL3QHBGGZ\/h1VZtastd2fdesZ5QkBKbfUimnV33lEtO9G+7gv8s\/\/A\/TbBzHsoCEmQ\/aJblFqfS7ibEKiRDfL9Z3RvriY0IY7IOeeQ9pRj98vfZV1RA94WcveocdjmlXYOMaQphazJx9j2kLgep+ONW3z3SbjKRIAhOWgN9fNMfUokfVI0a4W7M77x+0Rw2sDXjQuHXm3KCHlxC\/Dl0xTLj1ey4el3DPhba7rzcel4xnlurb\/D+x7Mpd+C+alfXVXzOOJEzaphXefK++RNTjIajyoVuMz1xlKXfe9TD8f3+3Em1955FbPjtXX7nUZuwTkR+yoGTm7WpVgf57g3Yz4ZVjq\/IlbWPwnUq5PfjOI3cG\/cgIFDOQwPAJyOfs4dce3ZruzKmZTndct8djfDcknlZAlzvTox\/YIjH8MIoWGkbBVOPjUyOTAgmQgBBwQMflI2o+UDKCdSbcCha1CVEVHJmdgJXpiXHRc1\/sccSLdelix5U7zKoeVVdVITQxektfJOXh+q7MYzyRCISZD3BMRzcZJUSRZu8oNUu1JEACoQSwAjhtIdzOt9BQPZFy3JmO99xIVWO97nJ7Rq+tiMrTPYEvjcZqOcuTgAMBl8zniwRIgARIgARIgARIgARIgARIgARIIPUJsIeSAI9CJAW+SIAESIAESIAESIAESIAESIAEUpcAe0YCQQR4FBKEgwkSIAESIAESIAESIAESIAESSBUC7AcJkIA9AR6F2HNhLgmQAAmQAAmQAAmQAAmQQHISoNUkQAIkEIEAj0IiAOJlEiABEiABEiABEiABEkgGArSRBEiABEggWgI8ComWFMuRAAmQAAmQAAmQAAkkHgFaRAIkQAIkQAIxE+BRSMzIWIEESIAESIAESIAExpsA2ycBEiABEiABEhg+AR6FDJ8da5IACZAACZAACYwtAbZGAiRAAiRAAiRAAnEgwKOQOECkChIgARIgARIYTQLUTQIkQAIkQAIkQAIkEE8CPAqJJ03qIgESIAESiB8BaiIBEiABEiABEiABEiCBUSHAo5BRwUqlJEACJDBcAqxHAiRAAiRAAiRAAiRAAiQwugR4FDK6fKmdBEggOgIsRQIkQAIkQAIkQAIkQAIkQAJjRIBHIWMEms2QgB0B5pEACZAACZAACZAACZAACZAACYw1AR6FjDVxticEGZAACZAACZAACZAACZAACZAACZDAuBHgUciYoWdDJEACJEACJEACJEACJEACJEACJEAC409gtI9Cxr+HtIAESIAESIAESIAESIAESIAESIAESGC0CSSRfh6FJNFg0VQSIAESIAESIAESIAESIAESIIHEIkBrkpEAj0KScdRoMwmQAAmQAAmQAAmQAAmQAAmMJwG2TQJJTYBHIUk9fDSeBEiABEiABEiABEiABEhg7AiwJRIggdQgwKOQ1BhH9oIESIAESIAESIAESIAERosA9ZIACZBAihHgUUiKDSi7QwIkQAIkQAIkQAIkEB8C1EICJEACJJCqBHgUkqojy36RAAmQAAmQAAmQwHAIsA4JkAAJkAAJpDwBHoWk\/BCzgyRAAiRAAiRAApEJsAQJkAAJkAAJkMDEIcCjkIkz1uwpCZAACZAACVgJME0CJEACJEACJEACE5AAj0Im4KCzyyRAAiQw0Qmw\/yRAAiRAAiRAAiRAAhOZAI9CJvLos+8kQAITiwB7SwIkQAIkQAIkQAIkQAIkAAIpdRTibd3V+GoHejWy0Nf2s7Vrf3kyBiWn92+qbzh81lqje9+m+mcOe63ZMaVjN8ZefV\/Hnoa1tdVb3rS\/nNC5Z9t2PX8w3Lj2tDRuqK1e39Sd0N0wGecwYWSJvrZta9e+\/LYU+RoBgZ6W59fX1qxvOi11JNcr4jrWd6pJOvOzLePer4imWi0cnekdsxkmszpebdzVOrJF2qRNRFyszIWFSJyhDLaLqQQjMDqO49DJjoPP72oL2c8kzlyN2d\/HlJ4DVH92jMbbj4Vf2TDf47E1HWbTE7Ja6m6\/Y7zfjWD0g3Z0EdaiIZ\/3rNfbP5zWYnRPNGH20CAjcS00xK4\/VIeRY27ayAwnxHm3E66pJLs2DkchPfs2VlbWv3zKgdSbWyrXDfOZtq+zre1kj4PeGLLdF2flZHliqCA+lpk9Lesi1OhuWlcZOG5AdlbWZGTHFE43ra3cYjzlxG6MXWOnD2zb11NwV9Vdn7O7muB5GNfWcOPa8stt7VMXrHxoQXaCdyRgHmaGmjCBLL\/k9sQ6+\/w1Le+pnYy0jLy87fi0BQ8\/tODS5MOA+R52Hes+sH1\/z8y7q+4oHve+RTI11MB4Te+glTZ2MwKG9Zxsa+vsC6RHKMGUsItVsPoEGspgwyZMqme\/3I68FO6k3cpieFuU4Nu6VWfkdEyOE+QdkXVbS\/ScbA31iQSaq3CysCuktT9CxEQvtHo8c2I03nYsRmwPNiDD2JqOuNmUVRB+GUnh7Tdmcwz3O4fxj2ZtfNO8o3Nei86fbGqor66qrl9TX19TWb1uy8F3fQ6tGtlBqyU6FOPaYvLQICMN\/aLl2cq1u\/UPamPXDz1BFiLtD6am\/Vnh33tGvtuJZrDCG5GQV11jblXHwSOdGRm9zYfbbZr29XnPDYihPnmkd96Ywb4+nPCd7ZNpFPDKd1XX5\/WipG9IpYJi33lc0qoY2fKkUMuBEigM6Bei3+uVSTSEAhnT599WPtv0WB1a3q8KraCCyJ5Vfuui6RkC9vQNiYFzaNoLq7KLy29biGyBYrDTCLikGyX1oA9aj5QNyPFiXz7Qe1blx2YMmpD26Nr9b9B5sqNn6vQZ\/6VXXkVSgwmrZFKVkpmqRYOGIQALehQoi26ioUAvzBo0zSoDxQJ1pP5ACk0HjmxD8QrZotQPJpaTXa1wQJEA25Mdp0XelQXuXolRNS0HFADNdaEqMMR6KdObbNFrMh6XdCNheWDKmYrBkkC+ECiGFlWO3pYjQGPC6HaiohZkvzKmX3dreak2+wIG4KrSDLOMgFaQr\/UxCLVRIJWFCMvIyXe6xKfzC1y9+iwKHXo7eg7ATYNuRqo0SM0qVxaTzflTXtOQBQ2QqqgNnCorp4HUAw1yCuiZ2ps0yTItvSc6PvBMvzJLc2atELwAvntWrjl6GjnntU9FMC1NZhhXZYshk0e2BatQBZdCa5nz0QVpsKEPlnuDTId3wGwUgyp\/kAUC01tWkbhUGbRrKFOCKT+InnZV5phWWi0PkdRp8WLk6r4Je2Qi0ku1a\/ROdcRUSVIyriomUWqWqrzajUZX57MbSv0a38aEQMerh+V25I3D7Xa7CGmCGmLDHTCIQVsUOeX0aWzMYXMVTCfMFuQE3dalYrzkXDqr+SkSpqDypb8Yt8KA4+jlVJnAbVTPlm\/23gHL0RaMkUXML9kFG68xF8F6YjdX0ZBlJyCtAgfZX9Pt2FCFfNigYCoyuKQLDmbYVkEtGWQVjZJMyJfsY58PCtGKP8gCJnoBC1FAWSJr+l+qLroguxy8pvmL6OuJqovyCqkuSJNsYKpeqJKGnoAga8lZpIopzYGrZkmW1PWjs3pJmSmrwwZ0SjNe1XHqrLE11foiCcmSZ0P7KzWHNKd0Mw4QCLeMYEwjbr9NAwefkuMB3ciUE8Y0BMjUpqXF6WQ2WsHQB+5EspacEvIa6vR59aki04EmkMIsQkXZEBJakKqkCZgS8k3L0yOtsDVTXdMume5u0oCgkrJAUIaqZxujafQxsLj5+sw7Osf7Zl9b4\/cbXs+44aGaOvmvtmLZjDNNP3qi6X1TI9IMr8lO61Obv6i0X5\/5\/iztXeUH7bW0fAnZbKSeiezzXvloghE4a\/YvpScUiCkfpmqjJsfLZrdjtKA9aJx1vI8EMJpqyB2gNugKtdUONA2FWgFzJblcjPBGpgGRJslphm2rcZswddxo0lrGuBB\/YcyPQt5tafMWLLmjJPNYi83m4\/iujXs6xNnmrU9t3PiKPCvxvdu0saZ69YaNG596vLauseXItvqn98njtaHOpg3VteuRv762Zu3O4zg+MNF5v+mJ1fUNr51xm\/JE975Na7YdfG1Lbd3jG59av3Z1de2PDnZqG6Du\/Zvqn9+xc0117ZptbUK0ba\/ftF82IkRf+4611TWr1z+1cf33qqvX7Ww\/r2mUqrbu2FFfXVe\/7Y9CaW4T3Yef39p8VnTsgVWNhz8QUu126BPtryBHC0+srV+zSeuA8L7eWF9TvfaJjRs31FZvaGreu6kehT843PjT5h7R0QQCzx+GEdEYs2nN5sat9at\/sHHjE2tra2ob3wymAZ2g6j267amNu44ra03GCwdLUBBYtjQ21q9+\/KmN69fXVq\/Z1v5Bx64Ntas3wua11as3HfQvMT2vN66tqQWljRtWV9fp+W2\/qF\/\/a\/3TNu+rm+rXPLFP\/2uF7n0\/XLvrHZDss8cr2rat2dT4i021NcZAoDCOGzqbnqitf+bwGdO0bX9FY75308bnJS4x1HnwR7WVdevlENdWOg2xpk6P+o7tXFtdvfoJdGp1dfXancd0epL8T3duqqtWU85xKkYPEBM4MH\/kTOt+rXEjBlqG9WvXaHNJ67uaIdKA5xvX161GmfUwcUOTmq5iyNv8fH117VoAX7+6ev2e5qanVV29R6n\/FmkZ2foGfGjfpqf8bmjy7jD0LMBrf3iw84PmLf75X2u4\/1BP8\/Nrq+Uc27j+e8Yy0nOgoX7zEX3ytO9cXb+msUVbXsRQS+OaLc3n5ASObXLarGNYZJo6hPfodn2FFO8f3FRXKVfCJzBFajcd6FSjL\/timr0qU8bOk0dWsZ1vzjNcKpQv7+Fn69e\/ojs7MiSLHa1\/DTe9NR9\/fn3t9zZKV63BNO5ERRmcLZRX5QsQNK\/3r7Qy71xLYKUyHE0I26VJlg992Q6r9\/CWwMKFOh27nqjf1ibv3zFotr+PoBfBQwn1DGNKoKPlj96Cm+8ouaitBXfG0Kbfb1qv7mu4\/cH94dzWLYo2jU23qihv6wKfXv6otvZxdZ+qXrujHbpl+76Opierq7+H\/I2P1+FW3oxboXY7kA1pAvaSHftt68r6eGFeWbyjz+E+K5zufdASHKAzeK7Guuw4ryFym2TeZpic1x5mwDJv7MuOtruzXeUiLzuyYSeTourFD1bXPtl0ynRUITXKlxzcl197eX2t3ETJez0mm9oqyKv6y\/euw2ZY2zM0Pm+zljot6dJa7DahuHuf0+7RuTlUYzATCLuMhN9+O886OUZmv1gT0\/a7J\/JuRDgsC3JKBD0g6F3FM1fI9ltd6nkt9KnK3jfljVPVcYptF8bju0w7upC1yK+qY8\/LbbmLV95Rkq0e\/FyegpvuX\/b3OT3HT2rt2vYX2iyrpRAOe4m+k02b6mrlkwL2Wnjq9D8p6O0HGann4Q1Pf03viJ43tmIbL5+\/kOWg32fv4HYWQok\/vL\/HxvEd7y8i4vC\/AAAQAElEQVT+WnJ2\/ezg4c21td\/fqB4bja1j35uNtbXaM+\/jtbU\/OoiHUH8lITCZfxr0fOrYkOONzLoC1zpts0NvvgE74i+Zninjr9xGY8cbbb1Fc4rziwszW15rDSlwVXnFzdNFVtn9FRUVSwtFX0vjv+0fmLOiqgrpqqq7sva9Is9HZLU39uzvL12h5T92o6f51wcCA3a+ZcuP94trVzy0MFeWDHq172ud8ZBUV1VTvaLk\/K6G7X6FJzvEVyvq6u4yf+m850DDlracxY\/WoJ2q6orF2a1bfnLQ\/xc4Jztc5RW1daY\/Ockuu+\/+siwx\/WZYu6JM+2BfaP8KlyIHYeXiK9ziU6UllwpxumnTjhO5SypqKisqKmtWXfv+rlc1xdllK74hdSxB8fvMOkRYYzrOZN9VpamqWHJ5+8+2NusbK6156PRTLb9KyxEm450sUQXfO5N9t8arqmLxJS1b1m\/ru+kx0Kioeuy2vK5dr2jtnG5q+EVX4TdksYqqmoqFmU0\/3oZzruLiAu\/Jdm1c+tqOd3mmeo8f1\/4m\/2z7cW9h8ZXhe9Rzoqfw\/pq6VQsNjn0tWxv2i7IVDy3INU3bwqV+5hqu9u0Nu86XaDOmKpohFj0HG7a25qiBgPFLclq3Nhhj3HPyjDTikQXZYaZi1ADLP92+7acaMcVWiOx5KzDOCMtLPL6M4jlF\/gv+954O33X\/ovGuWlHi279FO1rq3rNp59u5+rSsWlX2\/i7DYH+9FH+PuIzcPzdLXAkf8ruhybvD0zMBX170t10bN7TMeFBO7KqqB8tczTv3yqf97j0NO08XLpfZFVgWFl3UpC0j2bOKsk6+fUJD33H8RKbHc6L9bS31dvuJSwsLp4rYJqf9OpZddt8SuUR+Q1shh9q3\/XhX7zXafK+sqbmvpHd3wzb\/Q11g9mpWqCjq7gfmm+NipTTKOKt0Tr73deOj9Y6DR7qK55Z8OsL07jk1dN231Oy+v8S3b8vL70pd4S2UJQQg+L2+wj\/EppVKOtr2FlnSYWmSl0Je9sOKnl3Z8\/oROe6yxqmWtt7ismsywMR20ZNlQl4OSzd6YRrKkFrMGHUC2mjOKcovLspsOaJNmOAmm3fv983VdxmLpjTvwrbQskWR5U23Kqd7Qbbltt7Xsn3z4cxFq+QagvvU8oJ3tjQcwAagr+X5hv1yY6N5ReXdWft3+TcosiXtJcvsu8hf97GlOW1bNr+q3Vi1y7irWPYhDtMPx4Th7n26Mv0te4TLDvzFfsOj9FucV90lnWCqKjKGcw5j2RGmRT6wykWx7Dhv26QxQkTuRdXKOe\/veg0DrSqY457mQ74l37LdamrF+pw3w\/K6\/VqKK7adRb4p2O0eIzRnqk0x\/DKSXbbCefsdYdaZZlSM2+\/IuxHHZUEOqOkBQSbxst9+44IQtk9V9r6ZoVVwjhwWxqvKTTu67KC1KKCrG88VBbNKg5vIKLhh2W1\/n4+zEYf+Qlt0e4m+lm3PHs68cZV6ZKv5RsGJrYEnBWlFkJEyQ73w9LfkSpE1Vz7U6s9fpmEN7FUcPc7OQqVaxhbHb2ySnzc7YJTlTa\/j+9pmPCRXnKCtY+e+3W2XL5HZVVV3F53Z1WR+Ts+Oz43MtCg5brNtbr4m20W8ZdMzZbxV2+gbaj\/8Rm9hcYEQecVXedpfD3ostCl\/vKX9otKlN+ZhHuOq+7JFS6\/x\/4THVE\/G2faDb3b6hkTG3BV1K\/2\/E4GTyx\/t6Jx51\/3+WqhoClllN5VmqU678xbdWOx783X5tQ2UyC9bNMOvHEkZuptf78xfeFuJynZ5Sv5xQf57zc3aw70Q+WU3FniUKlk48quvdceOY9MW3Y6TDtHd0tKTv+A2f3c819y24IrwGiIYU\/pF\/dzHM7t4+lBPT8hvngVrDxgfwZIrSud9Uqvq8pTOKhBTC+fIVQU5GcVfnOU5eRxPflLDlWWLLlOjJDyz55dMbmvBQ2BRccEHHSdwKDPUfryzcPE\/TO883oZU37H2zvyCAlf4HnlKbijL1lWiOdG5+4c73i+4675F+myQeaGvttffnFxa7i+DIS4vnRxuiEX3682dV1gGorP5dX2MPZ9foBvhPBVl98MMpQlgyeeni54e86ZV78Dppq3\/4S3+p9sKQqaTp3h+8RStlDuvtCjL24NdVPfR1h7rtFTfPtAKpn4U6zICIvmGd0egZwKeP+dzWSK\/uFR3\/9x5c\/O9b+NoT2oomOefY1gWMN\/\/2IInluzi4qx3ceiCHXN7+8dKy+Efx+QjdMexk54ZhVkilskZYR0T+r8\/vt4yOXiFnD255Yi+pAVmr14ab9L4MJPH1H1jvkW1WGVcU1Ys\/B+tHz\/cLEpKZ6I5LZx2mt6eWV8sVhsX92WlxZdos1tEsFDTaBdZHK27Cz4sfdN2abJRINu1G9aMkrnFva0tciCx6ft9c+\/MYvhpTJrD3kdsTGHW2BBoP6yPZl5xoed4c+h2ZJono+fYwZb38ZliRun9dStvMM7lzQYGblVyVoS5FwQqtbccQ60Sff\/gzltwbX7nW21egfzMoPvXzSVq+QlU1cqUzPfXnVK87F8qln0+01TAIjreZ8Pf+yxagpIxLzsiAhmL82p3yQhVNIOGtewIu1VOun+YhVFrbbR6oZQX3FCer+71Lk\/JTfNyA1tN7brzDkS7bLuWyit2nZX5ple+ze4xQnOm2hNejLiMhBDKL9OfHSLNOpNfxLr9jrQbcVwWNGsNC7WUCL\/9tn+qCuebutbQNyyAtgtjaMnQnM73PxBC\/2nG7oM\/qjf929kmwvc3WJsJu9y0a3sJAY+4uOQG\/yOb+7IFZVd0trTabOeDddmlnPQ7Pe0aOmwEi+P3vC+PQqLDeEnZkrlZSiUerhcV+Vrk1tHj+Zg49eb+kz0+4covr6hbVqSK2MZODSE\/3I3MtCg5bbNFdDdfW6uGk+kaTqVh1zne0iYKi7Utct7sa7JOtrTiydhZW3fXGZGeYb7J537Svxe5snzl12f17W+ora6uf3Jn8wd+LccP7vfOKr+lQO2w\/bnGe07OpYYsRFaWZ8iHbY7MSs\/MkG\/mV1f3B2KyOTsjc7Lo7pZTDcWCriAdIfS17djZlnvTcnkQIkRXd48IajEj99KQPU+QxrgaY+pWBEvMRmKVcbkR6XZlZLg1elLDyV2mdaexTWROBlZXwVX5HcfxGfXx9lNXFBR+vrig43j7kGg\/3pE\/E8dh4Xvkzggaj\/aD\/+Gd9dXbCtReQbcg5K27s2souKI0sqsTT0Uom24eS6Rl6DrdbRmIzHTRfbpLXhPC7Z99Yaai7H6Q5uChDLqktFri7qbn9\/fNvvu2GZZ8mTQMkAn9JRsMmnwZuTlT9WsT4i3GZUQyCYxCBHpm4JNdQrhM8x3eL4+cpIYTvzbN9+fbxEVyvotLccDX3n5a9PzxuJhRWFBc7NaOTtrfFgWfzRYxTc4I65jsE17df+0SwStkZoYbDan5bu4LCmtBGh9m8thViW6xchWUXpPZcqgZK3r7G205s8vytPaECDO93cE+ripEsFAVsokDQxy4KHXZLk2BIoYky9oP68ziwo+aDx8TYqi95Y+ZJV\/A2qUxiV5zuPuIYQCFsSWA0TwmCj8vR1NcViq3I29h8gbZkP\/VlXcV9+37cW1lTf3GHc090v2DCmiJwDSWcyhoHmbY39bl7aTn8L\/VG\/\/W7+v2uEWfzA9ok8o\/Zex4ZEq+Qsq4p3g8U0wfGshC5pfjfTb8vc+swiLHvuxo\/hKGTNAlvbWoYA5n2Qnc1vWW5JtsLczCKIuIUeuF1J71ScvWVPiEab7JYQ9e6gObYVk9eNrIHP3l9u9h9LTNW1C\/1fVIzalSjIW8KURaRkIwGcAjzTqzX2AnEtP2O\/xuBHM53F3JsFDZHn77nWP\/VOXom0qnXSynXcjCiIXRrmxInnSIgV61hmeX3Veh\/1ua33uuV\/puuP4GKzNj91+Rpp093GAs2fXr92trtv96LO9O+sM5uJN+t80mStoaBcbsHP\/jtFQ+LcsjhvDY5in7xspFU9u2baiurl2\/Zd9JBVSWCH114xHdriGZH2xY8I3MbVqUHLbZIrqbb6hNw8zBZn+YNYdRreVIi6+\/ZUul9m\/D\/p6hk68dCXeolv2JHOHtOWO6H3S8pzb5snHPjPl3PVxVU\/3Ybfmndja8rD61EzMWLP5067bNhx12LZ0d5v+55vT7Pek2E0lql6+c7EuE94MeKaqX\/LAiN+8ylYgtbn95R1vu4jvm6M\/3OZdmi7PyI36\/lr7Ov4RDIUQ8jfE3Kt9jt0TWMr+khrwFK\/WFp6Li0VUPfvPBxfLAK6PoqrwT7e3tb7Xn4uzDVTAjr72ltb39ZF7h1eAQU48KFizJbf1pw2HjzMtsgSFn5+a4vGas8lsY6bl5Zo83CmuCND5oIOQXanLz\/M9xWhlEYaZiiIaIQwl9gdBzYNv+\/tJlN1lbDJSwSiHcznd2RvgSkFVFUqdjXUaCOztyelJD3sLAfK945MEHH1xcKJvJK57pO368o+1PXnn2gb1If8vR4+3H+wuLsWhkxzI5Z4Rfx2RjeIVOyzM9Xvenws1365oWxeSJcobnXVua+\/ZrzaebD\/4xb47\/04bxnd7ScvulCfAsIcywylOetpZ2X+trLZeUlmEosRxjAY9Fc7zuIxajmRw+AYxmv69ls7YbqVy\/\/wNx8kiz9R7s8hRcd9fKqpqab92W37Fzk\/b3iWFalPMt6G7icC+QS4Gn5E7jllmx6uEHH7yzNFvmB9+\/Ot4N7HhUw7KMr8+0P\/Wd95p\/BVCVMsVyYttOvxBre3rOitB7n0mVLsa+7IiQthzI6C3ItyirjOWyE6VJ0nr\/K+oqPR3vmAb1dFeXyMzELsmvJ5S5eTPsLxW39zFuLm52j72iaJYRR6tCfPO8fy\/nWMV6QU4w+ztR2N1IbA8UBWG3345PVba+6e9Az8nX2zotP4gjFze7hdFfJ+x79qyrsk6+uk\/\/QT2h\/vW1vNaGz6Wmx9ZfVTcolh5xccndpjV75TcfvHuu86NFUO3ICanf6\/i0G7m+uUSUGN\/r0J+atbqdp3vc6mnYnV2y9MGK6rqqB8rEwYatR0zrklYyEDk1JPO9QQ9ioTeygBYHKcabr4OWaLPH8Cikr7n5uKf0\/jrj36obcjtbXjedNPiN7v\/Qq44\/riorzWzZ+bOWHp+85G3d9tJbON7T5Fc3Va7ZeRL57ozc7GluVR5XXFmldy8vPfvyE1tb7AbQ2\/ziy+3afsfXfbjhxfasuddpnwqhZmjInjc3v\/PgjsPdaEaI\/o5dm5vOXDW\/JNIn8L3nQlo+vm3bm7mLby81bm3ZXyjNP72vcU+HT1ru69i3ef9p8wc7vb2WNUIM05jQXllyIlliKW6TlBreadr2uoZV+Dp2P1G\/aX+nVjCjuDDvxJ49J3IL5dlHxqyi\/BO\/3dPx6cJZEkRsPcqas3z5HO\/LT25psZLRWtKjwrLZRH9fwwAAEABJREFUmS2v+Ie4p3nLz1qyrg0zxEIaf\/rAjkPaGA\/5Ol7Z3NRTOH92yDd0nKeipiHMUOqW2b\/1HGzc7S39p8V5MTiixu23jU2ntGnp69i\/ZX9nur36FMyNfhmx7\/zI6UkNJ3dv0x+bfB27nqzfuE\/Nd5FXXOhtebnlb9rZB1JX+Y7vbvFeVZwnjYllckZYx6Q6+dKm5a5ftmsLpq\/nyJZtrVllX3Re0tQyEuPkiXaGZ5XOubLz8Nb9J68oLpIOLn+MYFSnt81KK6EEXtJyh6UpUEiXwg7rtaU5rQc3H2nPLb5GfaM0Vs3DuI\/odvFtVAj0Nb\/e7pm7wtiN1K1akPueZTviPfjDyvpfaLuMKbnZWe7Ap\/TGFiXYNjkrorqtYykQh3fu6tCWcOFtbvx+\/ba3kEB+ZstL2\/w7nrZtv2zVdzyBhgqv+dyAUdfXfXDz4+tfljYGSijJ7x1yYttOP83aKO59Sp05jnnZUffZ2O6SmnlRVBnDZSdak0ysoq9ycs9WfavpbX\/5+f3emWVBW02Nue1m2NRa\/MQxbk4ZnnxxNMtImF5pvhnj7diiTk4wh3tc2N2I1vTBaJ9uwm6\/nZ+qQn0zYL3vxH80Nv5Wbpy8He979c+ksQDaLoyBamGk7BuWzXcdbPhRU7t6Yuzvaf\/lD3e8M33pLcUZaufj3F\/\/aumsHh7hOrzjFf+a\/Xrj42u3He13Lh98xXdePR8F55pT0O\/wtKtKRbZQlZNxdBjPNe94Sd86dh9qeOmY2jqe3Flb2XBIWuvOys2+WATuelKzehnPp04NIT\/ijUypcoqdb75ONUaW7xpZ9Rhq97W0nPQUFmsfqalqWX9XnPt+W4vlLGTGnJKMow1VlZXPtghX3uLl5Xnv7VhbXYl\/63+XteSG6aquZ+5t5Zed2FxdWV1dWfvLM7O+ukB72NAuunIX3Hfb5e9se3xrs\/aEoGXqUcGim8SedVBWWb1hl7dw2Qr7v\/7VS2fMuXtFmdj\/hNZ8bUP7peUP3V6oNvl6Cetb9qw5+T2v1FZWrm06HbjW8lpL39DJl+tku\/qlKaV33FPmfm1TdRUya7f99ZrFc\/yP35fOKs3v2YXC65rMnwjFbkzAgHBSGEvCVTNdm1J6933zBprWYjCqq6objuWUL\/c\/22cUFny8s\/PjBYpaxsyCnPc7M2eolIi1R7kL77\/tilPbftCoP4WaTDDEvJseXJZ3onENqFZWr98zMGf5\/WGHWGjGi\/\/QxrhKM\/6BZbp9hlII1qmYs\/RGfSpCg+NQomLY0H3kcOeQ9\/CPpLV4bXkzbGn\/xYw5dyyf6z78YzUtt\/WUleu\/Z+EvkMLv0S4jzggs9DpnL46VnjZvB\/ZgvtdUV9bIZWHFTf7l5\/IZ+R90dk2fodJ5M\/O73u\/Kn6lSIrbJGW4d83cP0\/Kbyy4\/2Vgvl5Hq9f8+UHrP\/QvMX7T2FzTeh9P9aJeIjJK5xd4PvMVzS9QiOZrT236lNbqpC5p32y9NeonAW7hhzSq95oqTJ9\/Jn2McksasOab7SMAqSqNCoO9oy9vYjuiOKZvIuqb4U51tR83bEU\/ZP5bnndyMm1p1Ve3LPbPKb9DKm7cosqbpFcZTgm\/r2lLQ3lBTWY01ZO0e3KfUN0bzblpRflmHvuPZcDCnfJH\/NhNopeCWh8ov1etWP3FQXL98mX70aJQJ8g5tYttNP20OR773GVoNIfZlZzh3yTAwDUukMIbLTrQmSbP0V8QqermssvLC4w212AZU1je2eRYsvx3Pb\/o1+QbmDptheTXuL2tzpg1P3NtKXoVRLSPhujec27FFn+bF9ve4sLsRx2XBot+fdN5+Fyxa6Nu1Ts7ckKcqq2\/6leE9e8Ht8zNf24hq9b\/smvVPS9QHOE4LIypEDtgyPaT9ccd6tTdev\/N04bKVd6mf23Pub9Bq6dgKPAJ7rWMN8nZQjQc87LXuKA3\/B\/t+XQV4qG1pQE\/D7fCh39HBo7PQ3xzeo8I4Y9ES1x7t4bp6\/W5v0e0rtK1j\/qI75vv21mtPc5tapi5aNFvt5qBVC8O6kWXdtCD0Rqapc4ocbr5OxUecP3ZHIRlzltc9uljbSvitnlr2YN2D89WnbP48kVFQvrJGflbz9WKZd0nJskdq6mpqamrrqu5bkD\/3rrpHtF9IdWWV3L4KFx7715q66pXlM+VoZS9cVadqTSm+q6qu6o4S\/WfJpCL9lZm\/+MHquprKqprampVLC1WBQEWtVPHX6\/z\/cYk777rlFWimuqYO5W8vyVLALl2wqs70f82YktnXyvJ1+IzpUmGohULZI\/21SptwIiN\/wYrKurrqGqhfdXtJ4Y1+40V2mdKh9RR1YzNGFN+lta51xR997i6dGzJM1iKF4GSJYT\/KyGBWgrRJj\/uy+dLkqqoqdGblspJLcFkFT9kDdXUPlOnHPHLE6x6cp6eEcMBr6UKgoYzir1fVVS4L\/im57AWP1AX+Hx+Xp3DpSsyWGgxZTcXyhflyZojAWCizzLFuvDbHakzGF3\/dmAZa8aCpOD+rzysyMpXymAH6eyQJ67NCvmm9CAyfxQBZWE1vkZG\/cEVVbZ3Wx1XlRcLr1b\/aphmaylFGdMuIiVXo0AfRW3ZN4SL\/\/HEGriENzH993lY9VhW0LMhSBbdheflHdVsXYsZtcIjAr8BENzkDxtuvY4EZIhv0FMoFsxbTtw7zfYE+34WlL7Kk\/hpO96Oc4X1er29q4AdTZUfkvNZfwdM7uBfC7MVBFjpN72y7lVbvYmCkhO7dNkuTXtYEKsywZpQur6urXa6f8WhV7TX7XVsrYkS6Zumw5vuIZaEzilMYbQJyPCsWX2ZuRt6qHrwuy5wl1Jpf\/dhjcOqV5QVTtItBWxTLNMbSvGBFFLd14V8KqrCGwG\/99ynh39jUVNfVVa6Y\/3HcZjK124ypIVkG97iax75VJX1+Xq5mVlBk9g7n+6zfO7B44G4SuPeZ2gpoDc70xLrsBJMxbXjkKqHf17TGTM47CsuOdWE0tR7VshOlSSKKXmi9DUTuS0rvwl6zugpb04rl8\/0\/D2\/CrmajNlhBm2HrMhJYS02Lm2zI6KwhCOt65dTcfPOGR+riCwSiXEZMkyEEeNCsM+9GAmOEhhDMSpA0DZz9nQhlRNjdiNP226RZ6ggk7bbf2tXSmeUrsUJWVmHqGk9Vsq4Qli2BytTjTy7As5jcHNSsUk9wMt9hYQymYZqlso7p5c4uuX0lHkOk2losrAsKjKcNp\/4KYV4tgxsSZkcWatGrwWZCrrv+vVbAGGtdv10ZMyQfmIQtkLWMeVgdHTzIQr9WvAeaRgL9CDwKOWAMXhAy8296EENWVak9RBfppPQlrvKxKgmwLNel6Q5EQc+nUd7IFuSXGo+lwTaE7M8NIIpGdfDNN2BGnCVrL+OsPl7q3G63vaXujCnmvyuJtj33lIyYqrnTYyoerRmyXLo7VtWjZUy6O1ZLpP3ml9tpmMyFbOTR6FHMOiMY376tpnrL631CL9bXdrzTk5enLx6qT+nukQJUeiLF3gMbK9ft6hwSeh9PHT\/py8sPOmWMpILXhZ\/eCFDo\/GPXMOyKjk25MC8dL9peGI4N6e6wM7zn8Gsnc2eXjXAmjsr0Bh6XLQabzNjIjJ5mG9OYNR4EcM4cdt7b2JTutqlhU866CrX\/rLp6c7O8zWh\/8yj\/t7WpeXn2f5Mb8+bHcWLHMoeDOhH7siPS3VGSCTSU7g5bZTyWnXR3WJMCtgekdHdUVdIzHPa6fk3DHiy\/gujeo9jwRKeIpaIh4Oib0VRWZYY7MeLQtGaA3VPV8H0zXlZppgVFI9U8jEUvqP1IieGOo63eKDrrcB+JuBAFt+fQkNut3ciCy8aSGsbNNxb1Rtmot4dGDQokMBEJFCwpLzj1i9VrGxobn29sWLf65Q9K9O9LjzkNz7Xl892HN67euOX5xsbNG2t\/fDTrxiXmz6vH3CI2SAJCvHvw8Ol84wdTh02E03vY6BKxIm2KhUDBV5YW\/GXn6nUNuMs0Nqxd\/cvuEvMf\/8aiaqKU5bIzKiOdQBueUekflY4BgTj55hhYyiYmOIGJdBQytXDR0pF+YjnBp8tE7n7G55ZVVa1YPCvXc1F24ZdX1KwqL1B\/HjP2UFy5Cx6uWnX7\/BmXZHqumH\/HI4+tuDZuP2Q99r1hi6lBoM+df8PdS+NwJJcC0zs1RpS9GHsCU4qXPVaz4svFuZ7M7KsWr6iqKJ8xXreZse\/8cFpMiWUnr2zpokL77\/4Mh0lc6iTQhicu\/aGSMScQN98cc8tTvkHP1YvKrx3h93dTCtJEOgrJyC28Jj\/4T4FTaizZmVEnkJ5bcM38xUsXlM7MjfAt1lE3xZ2VX1i6sHzx3xfmZ0X1xdtRt4gNTGwCGZ8sLLkyXusrp\/fEnkwTufcud+7Mkvk3lS+YW5A7wm8XTwCMGamw7GTlX1OYm4BHXgm04ZkAUznluhhX30w5OuPaITk0fBo2DcFEOgoxdZsiCZAACcSBAFWQAAmQAAmQAAmQAAmQAAkkIQEehSThoNFkEhhfAmydBEiABEiABEiABEiABEiABJKZAI9Cknn0aPtYEmBbJEACJEACJEACJEACJEACJEACKUGARyEpMYyj1wlqJgESIAESIAESIAESIAESIAESIIHUIsCjELvxZB4JkAAJkAAJkAAJkAAJkAAJkAAJkECKEjAdhSR2DztebdzV6o3JxmFUiUl\/6hR+92Djr9uC4fa1\/Wzt2l+eTJ0+sickMLoEnFzGKT++1ji10nHw+V1tZ23a6t63qf6Zw8Feb1MsDll9bdvWrn357Zg0edt+3Xjw3ZiqJERhb+uuxlc7gk1xHILgYpFSw8EYSSevjxUBu4kxVm0Po504TLa+jj0Na2urt7w5jOajq3K2bdfzBy3OFl3NoFJjtxIGNctEShKIYrXvaWncUFu9vqlbiLjMvTitLX3Jtud3Rh2nlWFsJmg8hs9AEWYQw++phtfXMW5ueEZGVWtMj0Janq1cuxvuH5VllkI9J9vaOvssmeGTw6gSXmHKXgWpY1a47ouzcrI8Y9vl7qZ1laO4cxrbzrC11Cdwumlt5ZYWfz8DLuOU7y85Gu+B1t\/cUrlObrO0VnpOtjosnB\/LzM7KmqwVGuXI7Yl5LenrPNZ2sid2u4L6Hnv1Edfo62wLsdt5CGJrbhgYY2uApeNKIOh2ZjcxomptmLum4CUoqpaCCo14sp0+sG1fT8FdVXd9LkhvPBNg2jqcRcJqw9ithNaWmU45ApFX+5ZfbmufumDlQwuy0fl4zD34QchNB6pjDoEtRMxVx6WCM2oQiWplGBezrY3C2BEPXwCF8yBGtaeK9XYzwuasLMYvPXZHIb7z3l6fEH1e71lvHwTV5yEfkl6vlu73es9rAi6Z85EMDj4v\/ukloRYaAgqDS6qULH\/W6xtSKSGT\/bos37S2jKv+HLNKX59e3S\/A1IAGmek9q5X3oXu6YX496K92SR3mj8kAABAASURBVKaFkG3JpJPZKt\/rVx7Z1IBaPxPYpjDqgsk8VViPtXxFXs8xv2VMn39b+Wy5VkuTYI+03N+ELKhVV72WyUDXBCCc9QaGUl1FHJovdeo08IbO9g2JgXMgFhgsgV6c9SogsoBG18EktKEFVUVB0DL0yClfv8y3JCKgpp9pnvhtxyTBgmB2Z4fZojRg3vlr+mej4wS2zB+U9+JwdqAX81P6kd9lnPL97ZintJ6HKporSVPPmpZH\/bKQJskm9LQsBpdUKb2uv3V42bkBMdQHCEE+qIw3agmRXVx+28LpGVCCS9JZQoDgUnCQ7ermycIKssyEWmmGeX0w1cyYft2t5aVyLRERCsMSXX+gul7FyEAZaa2WtjRq7bvfSFTpj2LZ11RqS7S\/I6io2tIFqVBf6lVhFSszVEmVYxurYqZxlOOq31n0Cpi9gRmJ7mBqGWpjxBg0+lBv07ps3zpPUHIiBTm79CknB1eb0n4Bg46JrdOQmeahDxopydY0buflDUsWCL2dwZMxppqz64otb8GDDvOCdk3+hpAfaE9mBs9Y5AQtTXobqCWHO9CpoHxNoeymhGCabKqQfd1ga1VJGcOAkx09U6fP+C+9mlqZJ2dbSN+lWtiD8kF+ocoL81IpeWp3f\/8103uoGRg7w3FQEAVM+qEKHGQ3ccm8EsIMbWikVfqs0Er4I5WvdiP+PNktaLO4mypp6nugOKXUI6CG25hRpg5Kh8L0MC75zp\/sOC3yrixwS8eO\/i5s1WNqIiAqM8yzTubAv4wi0i\/8XiRnu3\/dkAUypvv3\/NLvpPuoRs36ZDn9Fql5ipbWI9lWiNdYfE0vKt+kconFakbgUQIKA23DhbF6SKtk5aBXqIagy0jItsyjIJ32rLZ7BBCoNRDZtmKbCa1GMClBf3WbkSmtVU3reUYNnaEsEMgzJCgJWmS0DkpWWglgQV80jVK5ka9dNA2ilpZDGTIo6kqoHuTIWYmnWHMVrXXzvU9V1+KYmwvql6YCjdp2x5SvlRvlaOyOQtpf2dj0juh5Y+vGpzbuOi675X29sb6meu0TGzduqK3e0NS8d1P99jZ54f2m9TW165\/auHF9bfW6ne143JC5+qvvzS2r69fv\/H\/hz30tW2trH1+\/8an1q2trN71q932T8yde3lBduwFNrK2uWbvzmNR14tdr67c2S0mpPL5j7ab9nWYS3fs2rdmmmaJKtG1bs2mfVC+Fxl9sqq2p37Rfpn3vNm2sqV4N\/U89XlvX2HJkW\/3TWkEhel5vXFuj9WLD6uq6TQff11RJzZsbt9av\/sHGjU+sra2pbXzTb4ivY\/+PalV31tZWr90h+x3ZVCGcMHbv31S\/pbGxfvXjT21cD5Iw77xmA5YBw+yNq2vrG5vtvj\/ftl3voxSeb1xftxoDt35tde0PD3Z+0LzFr7YWA6TUyq5tO\/jaltq6xzEia1dX1\/7oYKd+\/NTXvgP8V2NM13+vWo5poMrWHTvqq+vqt\/2x+\/DzW2FJx56NG59qPPwBFkRv8\/P11bVrZa3V1ev3NDc9jWKyCxaTMHn0hoa8bWioDlNiIxoKGDDU0\/z82urQfKmMryQj4Ht3\/6a62tVPbIQHGU4t+\/D+wU11lbXrtfzq2k0HOmWmEJbZUjuMCWw7fz443PjT5h7R0fTUxo3PH8ZyIBvCsuCUD2uGOg\/+qLZSzsP1a2srA\/NT+s5m+2UBtRA+OLCpfvNhfalo3\/F4ff1PW5AtQ2sjVrNe1U20fnzXxj0d4mzzVlj1SrssIMT7e9bXfm+j9Moa+JGORa4P2norBYeFQlWXsa+j6cnq6u9Jz3q8DqtWs39JtOINOKOspl5y2VTLokRkWkwChYcCzv746tqNu0\/pfTX6pTQJIa3VzBahtwlr32W7xnI9SmtpYPn9weraJ5tOGZsqv8Hq\/cOTL6+vlbeD9WtNC6CQFioyWrHuff4lru\/NxtpabcF8vLb2Rwcxu0AiMnPbiQrVoazwqYRNEyg6YYLjlJaDYkwb4Og7thODJhcc3Mqr9V1E2y\/q1\/9a\/+MM76ub6tc8se80yiJ07\/vh2l3vhNzOcOVci+3tGFdUCB10666pGzsT444pKwWmn3kTFbIEifMnm0J2F7J+WAj6zHSoG2qtVKheMACrkPfotqf0zZ4tQ5SVC8JPd26qqzY2TsiUwbQgrA+++8urpleP3ZYjsEqokn\/0b8yGOpuwIcQ94qn1tdgQHpfLTKCwxOuwDscAoS\/yvlRZxXjsCIxaSyYPWl1X3\/h64E9O+042hW5U2l\/Rdrl7N6k9gzH3pOBwF7bVY+3PUM\/hzbW135ebHzxWBG1+sCvwl5atON09cYPZru\/5ZTEHY+yfa4TdnLfzNb8heJfL7Muv2d0WpRuaV7k++8cH6BDC4caqXdMiB3qy9cbnjX2R3C72HNmCxxq5TVpdq56\/oCDcKofLzstUGIaBRdthzyD3KsYGD3fq1zdjYOQjqmmyPR68DYMtKsgVVY24yTbLnko46LHebpweY1VLWhxVcw6Lp5MZ6PHYL6HmAwCtZ6MWFS6tWHKlyJp7f0VFRflVQpxu2rTjRO6SiprKiorKmlXXvr\/rVf370M279\/vmrqhCuarHFk1p3qX2gcqw95t++LNTly9dedfnMsT7+5r+ePniKhSsqrm7qOeVJtPhhSoteo4c9N30mGyiqqZiSU7r1oaDPaLgCyWet187rLfW13yoJWd2WZ5eI+Jbz4mewvtr6lYtzIb7N\/7b\/oE5K6QJFVVVd2Xte0V\/9kDvGn7RVfgNdaWmYmFm04+3tevnAh1nsu+q0npdseTy9p+pU5m+lucb9l20aJWsUVXz2NKcti2bX\/VGNtUZo+zJe2ey79Y0VlWUf7p920+1A6C+FrPZj92RdXCP32xZx+bV0+G77l\/AGZ1cXvS3XRs3tMx4UKl9sMzVvHOvviMUon1f64yHtCs11StKzu9q2C419xxo2NKWs\/jRGqioqq5YnN265ScYB9XQyQ5XeUVt3V2fyy677\/6yLDH9Zgz8irJs0b1n0863c\/VaVavK3t9l1BFw0YBJK0p8+7dou1JUaXynYLk0oKKq+sFSGPAL+XMn3Xsadp4u9OdXLLqoSRkGPQxJRkDO3n2ZC1dJp66sqbolp3Xr5oM4yxtq3\/bjXb3XaM5YWVNzX0nv7oZt2pErOjjCCWw\/f7LLVnxDTtglmLD3YcKiHS045cM9tjfsOl+imVhldhCtmu2yoF1BdOms4ktOnlQ\/t3Hq+MlMj+dku3Qt6Gw\/kfvZwsBfsl1VXnHzdJFVJtfZpYVC\/us5NXTdt+B7cN\/7S3z7Gpv0ZzZ5TX\/ZLhT6Nbz1YXXa31+qWV5RVXl31v5dqnVcQzDhDTgj8m2DbWF4bsDZK1fOOb3rsL4+2+qQmTa3Cbu+n+jRl+tRWUuDlt+qlXPe3\/Ward09zYd8S75luwDKvoS8Ovftbrt8iVa+6u6iM7uaWq1FHDDaL3Q2rETkJqxNplQ6\/JQ23eV7DjZsbc1RG5WqwC6iuLjAe7JdO6Lqazve5ZnqPX5cewo6237cW1h8ZbbldibhWbxsu\/80U17Dy2ZErLsmlBLGHdN5E5VtWZr6WrZvPpzp311ULy94Z0vDAUzU8BBkY3JXal\/XxlpVQcYwwL8Kyc2eA0NZErfyk2ekiz6i\/b2AysKJZ9i7v78U3u23HLhgH97Ys1+uY1iyqx670dP86wPaCJrL2q7DTgDtIESxLzW3N5oydY82gWAPemxZ1qtN+p2xr2Xbs4czb9Q3KjXfKDihPX0ULvXvcs17BmWmZX3wb9dt9agagfj4vrYZD8kbRsjmJ1DGJNndEUyXIdoac7rJ\/rnGds5H9rUwt8XAKhf28SGMBvRBrl7O9Ez7ouV4fty4vnXGg5XYJ1XVPFDmfmNn07vQYOfgyPaHoH1LyEOKcGBoevK13zPIvcrxZu1pDS31HX3zZK58RA2ebCHbMBQ1hyDbgvZUjnqstxun4TY345fDNWd\/B3E0I5pHe3+zcXsfu6MQi8ndLS09+Qtuu0bfw3uuuW3BFXqRaZ6MnmMHW973CZFRen\/dyhu0r1bj4vmjW358OHPh8rtUrSkej+tUy4GTPSiYX15Ru0xt\/FEwEGYuKM\/PUEnPNYvnXdrZ\/Hq3uKys9JOdbUexFRD4+PS1k\/lz5mapMlHEnpIbyrLdWsHjLe0XlS69MU+l3JctWqoMw40cvbuybNFl6orwzJ5fMrmtRT3JiPzSL+Zq9ZFfPH2opwcPcqK95VhmyfwSjxqQKcXL\/qVi2eczI5oaBqNs4orSeZ+U78LlKfn8dNHTIzdrzmZrRW0iT\/H84ilavjt\/zueyRH5xqRo3V+68ufnet9WOUAiRVXZTaZbqgjtv0Y3FvjdfbxPdza935i+8rUSv4in5xwX57zU363uQ\/LIbC\/ReQ0EgdB9t7bHW0s+SZCGTSXmlRVneHoymVuXaBfp4uHIXPFCxcgHOuGR+wbxF\/nwPOE\/+Y4t+x5LK+EoeAnL2lsyfrSaTyPjcsm+tWlZysRB\/fL1lcmmQM86e3HJEPx01zZbhTGBMxXjMn7bX35xcWu6fh3CQ8tLJ0kEUfNtlQV1CnD2rKKvjpDxz7G5v98wuv8Zz8vgp5HccP+GZcVX45csz64vFGSgrhPuy0uJLet4PPQqxXSi0KlokV6cgy2\/WvVm7Kkx4DWdUV2xiu8LSQ8M4u40WIRxvE0GlTct1pGV\/GGtphComSwpuKM9XS6jLU3LTvNzAAmgqFBA9no+JU2\/ul\/c2V355Rd2yosA1JTlhtJ2odqwiN6EaStE4\/JQOTJvu15s7r1hwm\/\/Orm1UtF1EUXHBBx0n+oQYaj\/eWbj4H6Z3Hm9Dqu9Ye2d+QYHLDpvFy7q79HugXjbKEQncMaOefugselSi32fdeQuuze98q82r7TrC+LVml1PdKK2VOhwZyovC8\/kF\/h2VlpZR9AtC6JbjdX3Rl3pCXlM9GWfbD77Z6RsSGXNX1K0MOn\/RStuuw7FAmOKJvC\/VWmKU\/AQwMTLtPQgblYtLbvCvG+7LFpRd0dnSKjfgjr22rA\/Gdj0aPZeULZmrbwPwJLKoyGdsfmybs7sjBBe0M0YuOLbPNVM8NnM+sq8J59uiscqFf3wIo0HrTrhRMO2L8ucUZ4npnyvVV8hPziu9wntCPtZ4wt6IIy1TTgwdnnyF8Q97lUtPtrTgfiIfUV8\/mVs4C4PrPNmMigEhjG3R6nEc7kArhhS+uRjvPlM8NtPJaGp0BNs79ug0Fay1q7tHpGeqDbp2JSP3Uv3xJv+rK+8q7tv349rKmvqNO5p7\/A\/APUf2t19y3bJ5uVp5IaaWLX940bS2betrqms3bNl\/Ups3+jX9LetSf2GZkZU1VeAWKERW6Zz8ziPyt8d7\/tDSVVRWkiEvR\/dyZ\/gLd3edEekZmaZquZ\/UT21k707uqg\/8a2wTmZNxZCMLTzZ3W2bgJXUFNCPDPcXjmYIN\/u0pAAAQAElEQVSTlAimyobSzfoCGKFEBF2SGXjJphzMxlXb4Db1cjKmjCvwY4sZmZOFf4CEyMm51KQgK8sz5POJru4PRFCfZZ3ubv15LOiKqbLsWdC1jNycqYHrZpP8uSFV0j0eDxjK\/BO\/DgxG\/fNt4iL\/aPgr8z0pCITMXnfGVE+GW3T\/tUsEz+pMmdupHjbMs2U4E7hHxGH+dHd2DbmN1UPSzshwD3XpJga7iLwa\/Mr+bIGQZ449bcfFjKsKZhW523GrPt3e7iooMDtdcC0tFdyolmWN7BaKQBkJPVjJp\/wrnVbIbVoftIxwkV1h6aFhnN1WXb7DbSK4sNsEPKs07LIvjQjikJHrvyVJnUGXZAZeEaqghB6yPmkeIyyMwmdaNvVCpjdP2TdWLpratm1DdXXt+i37bO5tbhvm0hzbiWrHKnITJntSTuzGzdttmhtCBE3pwKWu090iaOgzMtNF9+ku4Sq4Kr\/j+HEhjrefuqKg8PPFBR3H24dE+\/GO\/JkF9ryC9IQWiXJEAo4ix1vXqbQFz1iVh1h2tufwvwXugOv3dePG2CfzAz1FwWAIMkPIMnZ1RZTWSiWODOVF4XaYyYF+olhG0N0fGf6QY7fl8F8Mfb+yfOXXZ\/Xtb6itrq5\/cmfzB6ElgprVL8cEIYp9qa6Wb8lOQE4Mt+0yIq+cPdxg8rn9ms+F63GQL+sFo9WTnaM\/e2j1pmV5xJD+vKFlWCO7O0JwGTtj5IJj+1xjO+cj+1qY26LhhuEfH8JokN0JS888cJPdeK4xP9akq0fF8Kuc5GEYKtuzLFNODIPyM4K2GVILXlnXFOeePHK4Rwg8onZeOacUJyGyM2abLfcs1DIHZ9ui1iNV2A63uR1dlmXtUcjm7O4gMt+hO7bTSW9otN4w\/qOlOrzenEuzxVn5Ub6\/WF\/nX\/wnpi5PwXV3rayqqfnWbfkdOzdpf\/uAYlmzF5f2NzW8FNgXurNLyh+oqKmpemiuOPDM1uaQw5Ced+XHNqirBfkpTKZ2bpBxTVlxb\/Ph4x0Hj3hLvmC\/cRkwnvDPev2WaWr8UfYncoS354xRTIiO97rVRdm7vAUrK\/z\/Hl314DcfXDxTXbSLs3NzXL4+k\/3yN2POy7UsvKmyISeMdu0gL4zZuDqy0NkhP6n26zj9fk86bhM52ZcI7wdwan++PO3OzbvMn7R\/D6l1vrNTfn3GvrSWK6sM9Jog9qsfhZL5eQsDo1HxyIMPPrjY5jtEmhZGiUxAzt7+vt6AifKHo\/p8QuYHO+OZHq\/7U3nm\/UGgkqPkOIHjMH+kj3vNS578llZ6brQmXlZc2H+8\/d22tvPy7CO7oMDXerT9+HHfzOI8x+7E6UKo5R3v6itdfFqQHhq0RFicfWjAaOfMWf9i7HCbMEqGCnFfS6Nefns63jGtS6e7uoS6EUkbtdN5KQiBOasEIdzZJUsfrKiuq3qgTBxs2HrEVN1fJORdYrSfqLashtNESJvjmTGCtqOe0iFD3NNzVuTmwecyiq7KO9He3v5Wey7OPlwFM\/LaW1rb20\/mFV7t\/7QkVgNjHJEQ20ybKHPTsrOekjv9u5GKilUPP\/jgnaXZMj94RQr1a1nGri70R21tiJ0GQ2ixDXImh1sQApVsV2ztsmnR8BqLhhCeGfPveriqpvqx2\/JP7Wx4WX7RTiseLooRAsCE35eGa4vXkoiAnBj2HiQ3JBeX3G3yuZXffPDuuTHuR4S2sYlGz3sd5pncebon8JRpcoSR3D0xLNKRHZ5rbOd8JF8Ld1tEc1oIWQqCHh8iaIjDKKBjjjfiENss+xatA5ZIMozikc0ze07+6baWnu7mN7qK55bIO4rzZLM0oSWdbYtajzTVYbi1JsxR+Obs7iBhzQD1MV5CXebejIHsO69vZLO\/UJp\/el\/jng5tI+jr2Ld5\/2l8gA8TvAd\/WFn\/i5M+IdxTcrOz3IFPz6ZMX3zf0mktDT\/c3Yly4u2dtVUNh6HP5c76dHbmED5ok9lBr3eath7qhiox5G1\/aet+b0HZbI8s4CoovSaz7Zfb2kRhcegzeXZeXkb7wd0dqmLbKwe19mS9oNdVZaWZLTt\/1iL\/QkcIb+u2l97Sn9Gy0bt3mrbpP6Hk69j9hPzZm6DKlkThNZ8bOLxzl9ak8HUf3Pz4+pclA4FPn0qdTZUN2WO06Dclnc02FRqe6G1+8eV2jIhAFw43vNieNfe6ApE9b25+58Edh7VxEP0duzY3nblqfonpKx7mxnrPqU2\/Vuu3jU2n5CAIX8f+Lfs7080FQ+XskmtyT+7e1qwZILztO5+ob5B\/ui9VBfJ9HbuerN+4Tw5pz+tNB0+p5kK1MSchCVx1TfHA4R2v+B3lwObVG14+gTmizepdv2z3yqNJX8+RLdtas8q+aH\/K6dwxxwlsO380Pb2957V3axSaX1g2O7PlFb+D9DRv+VlL1rVwEGtNh3Re8VXelhdbvOrs43J5MrKnxVtYjKeykBr9H2ocQvKHmaFZ\/tI2\/0rXtu2XrfpKN0yFlmrSQzsdnD3vityeI3uUU\/u69+95E4ON6s63iTB9D7vsD2Mtjb7KyT1b9QXQ2\/7y8\/u9M8u0BTAv\/1M9zeicNmm79+1p6UfXEE7urK1sOCQXMndWbvbFInATFLjqFCRGu4lqy2p4TTg1nXT50U5pbYgP7NB3Eb6OVzY39RSqP9DLKC7MO7Fnz4ncQnn2kTGrKP\/Eb\/d0fLpwlty36kD8tzM9GfbNcUSMXZOlumab7SZKFTSWIHRWHPbvLoS3ufH79dvegh8hP7Mlgl+jjG1dR2tV2+ZYs9OeobmYSZYz2WlBMBWDaLtii+wr8jLePrjrXfQRO7O2XYfk7V6WfnVT5ZqdcmPlzsjNnuaWfofsiCEWCLb70g+amw50cKsREXSyFcDEcPAgbEhcxkZFeF9vfHzttqP68h5LL6PUc655x0v65qf7UMNLx\/TNT8x3z7CmSUe2fa6xm\/PeKHzN4bZoNkJbCg46Pj5E0BAlPXODQXL4VU6zzWHfEqTGlJAMo3lkyygpK+pq\/sVLr2OLp3+I7jzZTPr9YhjbIugxbjfSVNvh9rdheg\/fnO0dxNkMu+lkamtURNeoaHVQWjCnJKOlobKycsubQkwpveOeMvdrm6qrkFG77a\/XLJ6jHVIIT9k\/lued3FxdVV1dVftyz6zyG\/IC+qYU3\/WN+eLApvU4p7hy0R3zfE1rKqurqyt\/2JJ146JS0xZEVcm6dlHBHxtq0UJVfeMfPQv+z2X6H80LkXdtac4HPR75azSqrCl2FSy5o3QybEPF6vUHc4vtn6hceYuXl+e9t2NtNcpVrv9dztIbp+tappTefd+8gaa10riq6oZjOeXLF+eFhV1wy0Pll7Y31FRW11RXP3FQXL98WZHen3CmOmLUDbF5s5qdteQGv9k2pWPKKlh0k9izTtKo3rDLW7hsxQ3yFDxjzt0rysT+JzRMtQ3tl5Y\/dHuh3rcg9dmz5uT3vFJbWbm26bTImHPH8rnuwz9WtbZ1zl6s\/0BJUJWgRNa85cvnDOxZKxlWrmk8dcVd9wcM8OfXSANW3IRJ1Xl43\/59r+ubpCBFTCQsAVfBbQ+U5xxrkOsDHOVVseAby+Rkwqz+5rLLTzbWy\/Wkev2\/D5Tec\/8C818lRNWjMBM4dP4Icems0vyeXXWVleuagr4l4ZCfd9ODy\/JONK7RHGT9noE5y9X8jMo0LFkz87ve78qfiamLGnkzpnd1fpA\/43LIwWEG1tmjDeDwbEvwheGn8m5aUX5Zh77SbTiYddOCeC0ZyqYwzp517bLFV3S+XC+h1T7bU3hNllbF4TYRqe9xXkujXX6zym4saNNuRJX1jW2eBctvL9YWwKyyf1p8+Xsva5O2dnNPYcklWudE\/qI75vv21mu3j00tUxctmq0VVxedY22lDZ2otqyG2YRz40l2xTKlc8oX2U9p7VYu\/kO7e6lb+QPagoPuZhQWfLyz8+MFcv0RImNmQc77nZkzVAqXg25nSEcK9iNSAG82dk0WFWGmX\/ASpK08+u6icq1cee6YI2dUNBAc6tpbazFQT4ZhqJewvoVZEIKLFixa6Nu1Ti4O1aYth5ix5I45kw\/\/SNs8bDiY+zl9B+eZe1v5ZSc2V8OxKmt\/eWbWVxeoxTRYp00qBgh2+9LO1\/bv38+thg3YZM+yeFDgzqg2JPpGBTtabEjuKJ0Se3ej1DNj0SLfLu1JpHr9bm\/R7SvU5ie2u2dE6zRHtnmusZvzUfhaVll54XGb22KQHdpNzenxwenG6tcQJT1\/8ZD3CKtc1MuUSXGYRdtUCmJBaYnv7ZPimlJ98cIOMJZtWBjbHCetEEG3G6fhhnEhIWxz2PdGvvsEfMduOoU0GOeMsE\/ncW5LZMwoX1ldh393fU6qzshfsKKyrq66pqauZtXtJYU3rqr7erG8cEnJskdq6qofe6y6rmZleYG2fBR\/vU7+py24\/MkFK2trVi7Mc4uM\/IUrqmrrqv61qq6mYrnxGyJC\/yer3FhStryipramCqoqls+\/zK1fw9uHXq8r3+kHUzPyFz9YrdlWW7Vi3qK76lZpK0uxX0B9LShTa2pqYMZ987P6vCIjU24xhHBfNh8t11VVVaF7K5fpe9xLF6yqu0vrpFZdmBS6skpuXwlTH\/tWlbU7EUxdYIsxe6Gfp2rqc3fVGT\/SHmT2gvy5pkuqsBCS3kJ5kGEI6ko4tUJkatxqKqvQkZVLC\/VfIRLuvOskjJrqmjqM3e0l+k+rWmmI7GtlsTqdtj6+slbNqmXXFC56pE7NHGeTUEVqqAJDNLS0QI0FRkMZUPVYlcmA3EWr6qqW5qt+MU4aApi9K7X1QXOUsk\/6DfcUliO\/Ft4oHWiB\/\/eSnWeLVtHsF5EmcPD8QfVsubxgRdM8y9SQQ77LU7gUPl6nTemK5Qv9JlodQS0L0B8cZtyGteS2GXpmwT8Cwm3GbTLQekaB5ACr5HJqUZW9wO9EhiMbgq43GIieKVenVWi9prqurnLFgvxSYyUMtKsVtWqTmQEbnAvDc+VirpEJcnbhyir9eoVquuaR8vlf9S9rmAYhtwkRru\/SFBHvtdTxLqa1pkWy+4uu0WZKtVwYcSPC3Uu7JMQlpXdpncOCuWrp\/HL\/6OhqKx+rqsW9rSzXheJSj3YbCizOyEUwMddXWutEtWNl1wSUTZgQPKXnfxw370zt5h3grFjot3KsK7V1NcatXF7zlD1QV\/dAmfoMR0wte7Cu7sF5egrXs023M9MY4YoQdl5mOyJBuybrQoE9kP3dX4igJUj4Vx45MTChjJUnGggOdW2t1fqmRcEddGJY\/HX\/vk6rZIqcFwSjkEajdGY5dpUhW46M\/JsexK5MrieVK8puvEvf\/Pj7+9i\/YvFcWT5TbhACQ6MpdNieeQq1pdsC0A6Cbrl5X5r7ZWw1yrnVMIYudQT\/jAq9Mwq1IanBM4B5QxK4BQOCMfcMAZkymN3HXo8spV5a3dIC+JjoLQAAEABJREFUOT9rqiq1iV3kX4ViuXsazqgpNPmByRjdkdEn3JIDi6HNnMeNu+R2uWcw+5oy2Ijd6vZnuS1a3VC\/qUlfxq7eeHzQnp7sb6xmDfb0LIt80KDAPAOFnYPjuhH0jkvbgh9SwjDUdVbXAGHQk6+hVQmXL66oq6u4yXRa6zjZAt0xLBe4OSx03FOpoQmdtEG3G+HwGKvM0+LomrNfPI0ZEmKGTtW8hGqtjWLkGkXdUapOd7ttS7ozMuwvWEu7p0Qq53JnhPxtRfvvmnuLIv1garo7rOr2bTXVW17vE263\/NEd0dd2vNOTl+dfhDQ79UuaHFXkzgjpTjxMtWs7ZtvslNjluafYD507PSxOO1XIG0YtpykxDFUwgGEMCUTdlNP64HKHd9poGojvBA5tMWnnodsdspCG9m4kOc5kHJp2mgYORozWWprujmppS8\/Q7hQhxmHO2t6KncqHKLBk2GO0ZTXcJiwtJl2y\/WfV1Zub5c1bm9Lyf36Zmpc31bkfTmPkXGOYV4YxIunuqKafEJaJERMES129dzFZGztD+0b1tgNvMa7YNrusgK6wkr09dhCcNiFh1fNikhJwuD2hN\/HYkECNiEqP08R2MM\/2jiAbi\/RycGS7Oe9kkqkJO\/cxXdZFe9dTFyNqiIqe0mUXR9IfzjY7fTIv3R3loi0LB70cRjOoTCDhbFvUehyGO9CGSXJuznr38VdyNMNuOvkrxfvdFW+FSaKvr\/lga2aJww+mRt2HgiXlBad+sXptQ2Pj840N61a\/\/EFJ0J\/zRK0oXMH4mBquBV4bbwJsnwRIYPQJcC0dfcbJ0kLBV5YW\/GXn6nUNuHc3Nqxd\/cvukqj\/XCJZ+hjRTkKIiIgFSIAESIAEUpvARD0K6Z1W\/E93LbhspIOb8bllVVUrFs\/K9VyUXfjlFTWryo0\/yRipaqN+nEw19I2WMLVw0dIy03e5IrbDAiSQSAQ4gRNpNEbFlmRZS0el81QaTGBK8bLHalZ8uTjXk5l91eIVVRXlM+SfSwQXSvUUIaT6CLN\/JJCQBPLKli4qDPMtvIQ0mkalKoGJehSSlV9SlBufjU96bsE18xcvXVA6M9f+y89Bcyf2RBxNjb3xGGpk5BZek58VQwUWJYFEIsAJnEijMSq2JMtaOiqdp9IQAi537syS+TeVL5hbkKv9mUxIiQmQQQgTYJDZRRJIMAJZ+dcUxukZLMF6RnOSkMDYHIUkIRiaTAIkQAIkQAIkQAIkQAIkQAIkQAIkECOBpCjOo5CkGCYaSQIkQAIkQAIkQAIkQAIkQAIkkLgEaFlyEeBRSHKNF60lARIgARIgARIgARIgARIggUQhQDtIIEkJ8CgkSQeOZpMACZAACZAACZAACZAACYwPAbZKAiSQ7AR4FJLsI0j7SYAESIAESIAESIAESGAsCLANOwIdB5\/f1XbW7sqo5XlbdzW+2jFq6oMVn96\/qb7h8Nh2MNgCpkhgVAjwKGRUsFIpCZDAGBLoblpXueXN2Bt8c0vluqbu2OuxBgmQAAmQwIQiwM6SgJVA0Bai52RrW2eftciopvs629pO9kRoIsjICGUtl1uerVy729gifSwze1rWRZYiTJJA0hPgUUjSDyE7QAITjYDvvNd71tvn0\/vt83r7hsTAOZnpGxKi3+s9j2u+vrNGES3zrNfbL6vI8tp177kBMdQHVVp5eUkI1PLrURl6rPI1hb4+r1erfzZggyyFfHOLMosvEiABEkhiAjSdBEjAngDu+DZbiKDNhqoodyzYewxh64Gdg8qzKebfuvgLQL\/cafiTqI49jMrRNzn+S\/q+RdufGHlKgBIbI9V+xiv3S6qYilEYTcjtk0zD7F7Yi\/2O2upkzyq\/ddH0DFyS1WVdmIHy6BryTAEVsa3SrPGXNF2lSAKJRoBHIYk2IrSHBEggDIG+lq21tY+v3\/jU+tW1tZtexecV3Yef39p8VnTs2bjxqcbDH4ju\/Zvqn9+xc0117ZptbdA05G1+vr66du36pzauX129fk9z09P12\/4oxPFdG\/d0iLPNW5\/auPGVdhTsO9m0qa529RMbNz6xtrpm7c5j+uc7vnebNtZUr96wceNTj9fWNbYc2Vb\/9L5u4T38bP36VwLfTe050FC\/oxU7B6hiIAESSF4CtJwESIAEIhAI2UKg\/Pt71td+D1uF9WtrsNnoRA5C2\/b6TT\/duamuWts5CDHUefBHtZV1chuztray9kcHO\/ERjtC2LtvlngVVZPij2mlI0ft6Y31N9donNm7cUFu9oal576Z6o+S5lsb61Y8\/tXH9+tpq7E\/Oy\/KBV4iRTvucvjcba2tXy23S47UwCVur9lc2Nr0jet7YuvGpjbuOw759m9SeSrRtW7Op8XmbngpfR9OT1dXfQ9c2Pl5X2\/hmM0pitxSwhxIJJB4BHoUk3pjQIhIgAScC7+9r+uPli6uqKiqqau4u6nmlqU1kl913f1mWmH5zRUXFirJsIf+d7BBfrairu6sYt+89m3a+nbv40RpZp2pV2fu7Dqrvk15VXnHzdJFVdj\/qLS0UfS3bnj2ceeOqmsqKisqamm8UnNjaIEv2tTT+2\/6BOStkmxVVVXdl7dPOTYTIKp2T7339cLu2iRGi4+CRruK5JRmyeb5IIPkI0GISIAESIIFoCVi2ELJaz6mh676FrQa2CveX+PY1Np2WuXj1nDxTeH9N3SMLsENp396w63yJtqWoqqleUXJ+V8N2+WEMitmH002bdpzIXVKhNierrn1\/16tqE6MVf+9M9t1ye4JX+afbt21v0XL9kcXIPod9jujct7vt8iVqm3R30ZldTa2icGnFkitF1ly5RSq\/yq9Qf7f0dMvL7+JCX8vzDfv7S7WuVVRV3p21f1fYjqEKAwmMPwEehYz\/GNACEiCBaAlM8Xhcp1oOnOzxCZFfXlG7rNC2Zn7Zohke7Ur30dae\/IW3laiUy1Pyjwvy9cML7boRHW9pv7jkhmtUOeG+bEHZFZ0trV6B\/ItKl96Y59ZKui9btNRfJuOasmLR1oJPS3Dp+OFmUVI6ExJDMhGgrSRAAiRAAiQQDwKeWV8sVh+HuC8rLb6k533\/UYjn8wvKstUmou31NyeXli\/ybynyFpWXTn7zddO3QayGdLe09OQvuM2\/8fBcc9uCK0xlriid90kt6fKUfH666O7q1lL2EfYztvsc4fF8TJx6c7\/cWrmwtapbVmSvwJ9r6am3Rx7OtLccywzq2s0l+o7KX43vJJCABHgUkoCDQpNIgAQcCEwtW\/7womlt29bXVNdu2LL\/pP43LNbS6ZlqOyJEV3ePmGykUC4jN2cq3qyhu+uMOHu4od74t35\/t8ct+mR+ekamqXjuJ\/G5jpZ2FZRek9lyqBlGtL\/RljO7LE\/LTvyIFpIACZAACZAACcSVgDvDv\/OwqHUbm4juzq4hd1CxjAz3UFen8wGG3MQEtjRQnJF7qemEIegSroYLcj9jt88RwlP2jZWLprZt21BdXbt+yz6nrZWhPLgLKrsbu6jg\/E8ZuyVVgjEJJCIBHoUk4qjQJhIgAScC7uyS8gcqamqqHporDjyzVZ5DOBWV+TnZlwjvB\/IDC5nC63xnp93\/Bpf9iRxxccndFca\/VSu\/+eDdc7NlvrfnjOmLJB3vBfYsedeW5r79WvPp5oN\/zJszNwvqGUiABEiABEiABEjAhkB2bo7Lq32Hwn+xp8ebnpunPmEZGvDnCu9Zr5JzLs0WZ801+jr\/ol9SBaKP5X7Gbp8jNbizS5Y+WFFdV\/VAmTjYsPUIPuKR2TG8QrvW8W5gtxSDIhYlgTElwKOQMcXNxkhgjAmkWnNv76ytajiMbYDLnfXp7Mwh4fP3sPec7Z07e97c\/M7fNjad0gr6OvZv2d+Z7q+D9\/4PveqY46qyUtfhHa90aOWE9\/XGx9duO9ovBPIzW3b+rEX+SY4Q3tZtL73Vi3p6yCqdc2Xn4a37T15RXKQ+Djp\/cv\/uFtPRi16QbyRAAiRAAiRAAilFwNhCRNurwrLZmS2vvNyObYwQvp7mLT9rybr2ugIhsq\/Iy3j74K53tT2It23XoU6lMvsLpfmn9zXu6ZD\/aYvwdezbvP+0+lsbdT2K2DAS+xnbfY44ubO2suGQtMmdlZt9sRBqXwQLz8vMKNpAEa1rL23z75batv2yVd8tcV8EPAyJSoBHIYk6MrRrBARYNWUJXLnojnm+pjWV1dXVlT9sybpxUak8gMieNSe\/55Xaysq1xq+UGQQy5tyxfK778I+rK\/Gvdlvn7MWlxndLZ8wpyTjaUFVZ+WyLcOUt\/uayy481VFdJ3WubBkrvuaN0ipD5y8vz3tuxVlOw\/nc5S2+cbigXIqNkbrH3A6\/xg6m+Px1sOnC4ze6LJ6ZaFEmABEiABEiABJKZgHkLEXU\/8m56cFneicY12JFUVq\/fMzBn+f03ZMvaM5bcMWfy4R9pW40NB3M\/h+MRmS2mlN5xT5n7tU3V2KtU1m7rKSufY2xitALhI7ORTvsckb\/ojvm+vfVya1W1qWXqokWz5daqAFuklgYYuuXN8G3oV\/NuWlF+WYe+W9pwMKd8kdotcV+kA+JbQhLgUUhCDsuwjGIlEpgABDLyF66oqq2r+tequpqK5fNyVZezr11eUVNXV7dqwaUie+Gquq8Xq3wt1qvUVNfU1axadk3hokfq7vqculJQvlJW08t7CmWypqpK070gX24FZLlLSpY9gro1NWj3vvlZfV6REfj1kT6v1zc18IOp7mvuqqtdUWb3cyRSFV8kQAIkQAIkQAIpQCDDvIUovkvbgfi7lb3Av9Mo\/nrdqoXaYYe65vIULl2J7YS2J6lYvtDYamTk3\/Sgnl+5ouzGu9T\/OINKGfkLVlTW1VXXYCOyammh8HrVb3JYdzufC1RBLT0EGSmEx36fozdR+VhVLbZWZbna02HGjPKV1dhZaVumSxesqpP\/K58Qjj0VrqyS21fByBrUqlwx\/+PYLWVit8R9kT4WfEtIAtpkT0jLojSKxUiABCYgAfcUd6y9dqdHV8XldgcVbN9WU73l9T6BbLle9rUd7\/Tk5fk\/lOk5\/NrJXP5gaqyDwfIkQAIkQAIkMIEJOO1JrPlnD26sXLvrfSHS3XJvMtRx\/P\/15V1x+YjIWfc5fmXpGW65z\/EnY3xv\/1l19eZmuVtKlzX7jrV3Ts3L4ydDEgZf8SYQP30jmPLxM4KaSIAESCBRCRQsKS849YvVaxsaG59vbFi3+uUPSspv8P9fMe8ePHw6nz+YmqhjR7tIgARIgARIIJkJTC0rv859+MnajZuxCdmycfWmox9ftET7A5ZE61XBV5YW\/GXn6nUN2Cw1Nqxd\/cvukq8u8O+WEs3Y5LSHVo8CgTE9Cvmwt7\/rzIfvnj7LQAIkMKoE\/vqB13v+o1FYMSaiyozPLauqWrF4Vq7nouzCL6+oWVVe4P\/TmT53\/g13Ly3xJyciHfaZBJKQAHcjo3oDonISMAhwNzLyBfTkO1oAABAASURBVDL3hpVVj9wxf0Z2pidv\/u2rHru\/zPT3NiNXHz8NU4qXPVaz4svFuZ7M7KsWr6iqKJ8Rj+1R\/AykJhIIJTB2RyHYefT2DQwM+n+VONQW5pAACcSJgG\/wwvm+AZ6GxAmnEOm5BdfMX7x0QenMXPPXRzM+WVhyZVbcWqEiEiCB0SfA3cjoM2YLJKAT4G5EBxHrW3B5d1Z+4dwF5TfNL8zPkn8mE3w1gVIud+7Mkvk3lS+YW5Cr\/ZlMAtlGU0jAjsDYHYWc6+3\/CAchQxfszGAeCZBAPAlcuHBhwDd4rm8gnkqpiwRIgASSnwB3I8k\/huxB0hCIbTeSNN2ioSRAAilCYOyOQvBghgUxRbCxGySQ8AQuXBADA4MJbyYNJAESIIExJcDdyJjiZmMRCaR6Ae5GUn2E2T8SSGICY3cUgqUwiTnRdBIgARIgARIggeQnwN1IQowhjSABEiABEiCB8SYwdkchYXqalibS+C+xCDgOVxoHKy3R\/jkOFi+QAAmQAAlETyBttG9wafwXKwHH0UvjYKUl2j\/HweIFEiABEkhMAuN\/FDLZPeljUy6a9vHMS6ZOYRh3AtOmTsFYXJyZ7p5kMzeQOSUjHQVQbNxNpQEggLGA+8CJEnN9oVUkQAIkIJIEARZSLKdYVLG0Mow7AWwzMBbcjYz7QERpAAYL7gMnShJ3p5kkQAIkIAnYPO7K7LF6pU+elJkx+SKsnZNcLlcaw7gTmORKmzTJlZE+OeOiyZPdQdMD5yAZF7kRUADFxt1UGgACGIuLJrvhROmTE\/o3xcdqRWE7JJAwBGhIUhFI527ElVh7MGwzcIPjbgQ3+qQIGCzuRpJqzaOxJEACkkDQs67MGNsXNh\/y6weutLFtlq1FIID77kWTJ012TzKXQxLP25Nc4zxnzCZRBgGXKw1OdFF60GAhn4EExoEAmySB5CTA3UhijhtucNyNJObQhFqFweJuJBQLc0iABBKZwHg+1mLRdOMYmecgCTlB5Mi4gqYHcia5gnIS0vCJaJTLleae5Jrk4uiM0+izWRIggWQm4JJL6CQXdyMJOYjYe7hcQXc35ExyBeUkpOET0SiXdCXuRibi0LPPJJCkBMbzXoKbGRbNJAU3Ecy2fFcHyTS8JkLPk7CPaWlprkljOzxJSIkmkwAJkEAogUmT8KzN9TMUTKLkWMYGyTS8EsU62hFEII27kSAeTJAACSQ0gfE8CkloMDSOBGwJMJMESIAESIAESIAESIAESIAESCDJCfAoJMkHcGzMZyskQAIkQAIkQAIkQAIkQAIk8P+zc69djaNHAoDRFcN0T8\/k\/\/+7\/bK75ySbSfcAvslbwIS4hQFjW5dXejgKY+ta71OSVSrTIUBgKgJaIVPJpHEQIECAAAECBAgQINCFgH0SIDA5Aa2QyaXUgAgQIECAAAECBAicL2APBAgQmK6AVsh0c2tkBAgQIECAAAECnxWwPgECBAjMQEArZAZJNkQCBAgQIECAwPsClhIgQIAAgTkJaIXMKdvGSoAAAQIECOwLeE2AAAECBAjMUkArZJZpN2gCBAgQmLOAsRMgQIAAAQIE5i2gFTLv\/Bs9AQIE5iNgpAQIECBAgAABAgSeBLRCnhj8IkAgEYEf96v\/\/ceP\/\/qfP0zHCrAicJLAf\/\/9+\/e7ZSIfDMIkQIBArwKqEUUIgX4EOq1GtEJ6\/dx0MAIEzhH4835197Bab5uPd2INAgTOE9hsd3cPa92Q8xRtTYDABAVUIxNMqiGNVaDTakQrZKxpFxeBEwSmvsmP++V60zTNbuoDNT4Cwwvsdru43P68Xw8figgIECAwJoEfqpExpUMs0xbotBrRCpn2yTOP0RnlbARW66bRB5lNug10cIGn+mM7eBgCIECAwKgEVCOjSodgJi\/QXTWiFZLsySNwAgQIECBAgAABAgQIECBA4PMCqbVCPj9CWxAgMAeBLLvKs8xEgMAJAlmWXfkhQIAAAQIECIxOoMOAtEI6xLVrAgT6ESiK7GZR\/\/brzd++3ZoIEPiUwO\/fbr7e1nVV9HO1OgoBAgQIECDwkYDlfQhohfSh7BgECHQnkOfZoq5urquiyPM8MxEg8CmBIs\/rulxcV7oh3X1M2TMBAnMQiDokqpFvXxa\/fb2Z8bT45aYui8PPmFmWLa7LX98kmrbb4nZRxT334LWQ59nNopr3yfN45lTl4TPnINr5M3s92Pnh2gMBAgRaAnG\/jUe4Is+y1gJvCRA4TiCunqfrqDxudWsRIECAQFsg6pDruoyn2boqoyz5zFRMa+VyUT9Or7sh8bT\/SHRdxbdX0xrykRksFzH2uN0W7QfwIs8DLfpos2R50QufclFXVdnfn6m2M9G+rL0nQIDAuAXiXpvn2iDjTpLoRi8QF1FZuI5GnycBEpiOwNRGEs9v8YQfNYlvZooir+vHflArx8XTA39AZdlMbzdxeizqonrVCinLPJpEsTTLZirzfKrEGVLXRV1phTx7+E2AAIEPBbIsu8o+XMsKBAh8JOA6+kjIcgLnCth+sgJVVRSvHnEnO9qPBlYW+WuNPM+qfv\/5w0dhDrA8WGJqHbjIsxBrzZzn2yLP+zxJ\/FXIPE8zoyZAgAABAgQI9CPgKASmLxCPcHl8NTP9gR47wuwqa60a77MsfrVmz+ttlh0UyOJnXhDvjfYg0XsbnLxMK+RkOhsSIECAAAECBN4SMJ8AAQIECBAYr4BWyHhzIzICBAgQIJCagHgJECBAgAABAgkIaIUkkCQhEiBAgMC4BURHgAABAgQIECCQkoBWSErZEisBAgTGJCAWAgQIECBAgAABAkkKaIUkmTZBEyAwnIAjEyBAgAABAgQIECCQtoBWSNr5Ez2BvgQchwABAgQIECBAgAABAhMR0AqZSCINoxsBeyVAgAABAgQIECBAgACBqQlohUwto5cYj30QIECAAAECBAgQIECAAIHJCmiFvKTWCwIECBAgQIAAAQIECBAgQGD6Aloh08+xERIgQIAAAQIECBAgQIAAAQIvAlohLxReECBAgAABAgQIECBAgMDUBIyHwGsBrZDXJuYQIECAAAECBAgQIEAgbQHREyDwjoBWyDs4FhEgQIAAAQIECBAgkJKAWAkQIHCMgFbIMUrWIUCAAAECBAgQIDBeAZERIECAwKcEtEI+xWVlAgQIECBAgACBsQiIgwABAgQInCagFXKam60IECBAgAABAsMIOCoBAgQIECBwpoBWyJmANidAgAABAgT6EHAMAgQIECBAgMClBLRCLiVpPwQIECBA4PIC9kiAAAECBAgQIHBxAa2Qi5PaIQECBAicK2B7AgQIECBAgAABAt0JaIV0Z2vPBAgQ+JyAtQkQIECAAAECBAgQ6EFAK6QHZIcgQOA9AcsIECBAgAABAgQIECDQp4BWSJ\/ajkXgPwJeESBAgAABAgQIECBAgMAgAlohg7DP96BGToAAAQIECBAgQIAAAQIEhhXQCunD3zEIECBAgAABAgQIECBAgACBkQh02AoZyQiFQYAAAQIECBAgQIAAAQIECHQokNqutUJSy5h4CRAgQIAAAQIECBAgQGAMAmJIVkArJNnUCZwAAQIECBAgQIAAAQL9CzgigfQFtELSz6ERECBAgAABAgQIECDQtYD9EyAwIQGtkAkl01AIECBAgAABAgQIXFbA3ggQIDBFAa2QKWbVmAgQIECAAAECBM4RsC0BAgQITFpAK2TS6TU4AgQIECBAgMDxAtYkQIAAAQLzENAKmUeejZIAAQIECBB4S8B8AgQIECBAYGYCWiEzS7jhEiBAgACBZwG\/CRAgQIAAAQJzFdAKmWvmjZsAAQLzFDBqAgQIECBAgACB2Qtohcz+FABAgMAcBIyRAAECBAgQIECAAIF\/C2iF\/FvCfwkQmJ6AEREgQIAAAQIECBAgQOCVgFbIKxIzCKQuIH4CBAgQIECAAAECBAgQeFtAK+RtG0vSEhAtAQIECBAgQIAAAQIECBA4QkAr5AikMa8iNgIECBAgQIAAAQIECBAgQOAzAmm2Qj4zQusSIECAAAECBAgQIECAAAECaQp0ErVWSCesdkqAAAECBAgQIECAAAECBE4VsF23Aloh3fraOwECBAgQIECAAAECBAgcJ2AtAj0JaIX0BO0wBAgQIECAAAECBAgQOCRgHgECfQtohfQt7ngECBAgQIAAAQIECFxdMSBAgMBgAlohg9E7MAECBAgQIECAwPwEjJgAAQIEhhfQChk+ByIgQIAAAQIECExdwPgIECBAgMCIBLRCRpQMoRAgQIAAAQLTEjAaAgQIECBAYIwCWiFjzIqYCBAgQIBAygJiJ0CAAAECBAiMWkArZNTpERwBAgQIpCMgUgIECBAgQIAAgTQEtELSyJMoCRAgMFYBcREgQIAAAQIECBBITEArJLGECZcAgXEIiIIAAQIECBAgQIAAgVQFtEJSzZy4CQwh4JgECBAgQIAAAQIECBBIXkArJPkUGkD3Ao5AgAABAgQIECBAgAABAtMR0AqZTi4vPRL7I0CAAAECBAgQIECAAAECExTQCmkl1VsCBAgQIECAAAECBAh8QmC7bZpm94kNJr3qLn6uaByf4\/DC9RfXrscz57kV8teB\/YcAAQLJCTzdPdw\/ksubgEco4DoaYVKERIBAGgLL9WazbdKItfsog2KzoXEsdHCte+c6Nrh+13ukWG97O6ZWSG\/UDkSAQCcC6812u\/UI14mtnc5HIL7OVIfNJ91GSoDAxQU222a52qzW2928S5L4gioKs2eKiyOfv8Nx7iFOnoflevV48sz67AmHOHOWWiHjPE1FRYDACAXia4fVehNPcTMvPkaYGiGlIhB9kNVqu+qx+EhFRpwECBA4UqBpdsv15n65vluu7x\/GNfUaTwx\/uV6utnFnOZLOanHyrDbbOHkep7mePHdPA18GRI9\/XeWvQlx9BAikLdDsdg+rx+JjtX78Nma1fnyi85sAgaMFNg\/LzcNqvd709yepaX\/oiJ4AgRQE+o8xHmjjQe7Pu+X3GU8\/7lZxT9EH+ezp93zyhN5sT54fd8voBG167INEjrRCAsFEgEDaAnH\/eFiu\/\/jx8M\/v9yYCBD4p8PDn\/WrtXymn\/SkoegJ\/CfgPAQIECBwpoBVyJJTVCBAgQIAAAQIExiggJgIECBAg8FkBrZDPilmfAAECBAgQIDC8gAgIECBAgACBkwW0Qk6msyEBAgQIECDQt4DjESBAgAABAgTOF9AKOd\/QHggQIECAQLcC9k6AAAECBAgQIHBBAa2QC2LaFQECwwhkWVbkeVUWM5+KIg+Kt3IQC5PzuVTATzKHYbLsKpZe6kCJ7qeM6ycgrvwQIECAwOkCmWrkqRKLu2pQnO44yy2zTDVS9F+NaIVc+SFAIHWB+Oi8vam+fV38\/uvNBKbThvDb18WXm7oq8+xQOuNR92ZRf\/tyfdrOk94qZG4XVVkUh2CuQiaWxjpJj\/Gc4GPsv9zWVVVEHXbrmsatAAAM3klEQVSQyEwCBAgQOEagLHLVSNxT3qlGjmGc5zqqkThz+q9GtELmebkZNYHRCZwcUFQeN4tqUVf5vJ\/ksiyrq\/Lmuqqq9jN\/fD8TRDfXZZ7P8TM\/ZOL0uAmZsi0TDZKQiaWxzslnYOobxtjr8vHMqasy9bGInwABAkMJlEX+fEPJs4NfSQwVV9\/HzbI3q5G+Q0nneFVZPJ88oZdO1BeONMZe916NzLEsvnDe7I7AGQI2PV+grouqyLNZFx5\/KQZCVRZ12X7gD57rKr7zn69RyNRVUZXtW15Z5E8yfwHO9j\/hU5aPFLMVMHACBAicKaAaeQGMe0pVHqhGXlbwoiWgGnkGiTOn52qkXRc+x+E3gU4F7JzABQWqosjz+T7ktySDIqbWzCzLAqk1c25vgyUcWqPOsqs8dx+8ip88y\/LcdRQSJgIECJwioBrZV4sbSkz7c7x+R0A18oKT91uNKAFf5Dt\/4QAECHQhkD39dLHnZPfZfqBtv092YB0EzmYflca+htcECBD4hMBTMeJTdF+Mxr7G+69Z7fv0p9F5K2R\/WK3XzbZpml1rprfjEWjlJt7u4n\/jiU8kewK73c7VtOfhJQECBI4VUI0cKzXQeq3SI96qRgZKxceH3e1UIx8rWYPAxAXSGd6QrZBts9tum0Y3ZJSny2NmmmY\/tJgT0\/4cr0ci0OziUlJ8jCQbwiBAIDGBrWpkxBnbNo8\/+wHGnJj253g9EoFmpxoZSSqEMYSAYyYoMGQrJLhW6+16s91p74fFmKZmt3tKzU+tkM1mu15vY9GYIhXLVVw+602zXG\/iBQ4CBAgQOEHg6Za39Sl6Al2nm0TJ8ZQa1UinzJfZeVw+a9XIZSyT2otgCaQsMHArJJ7f7pfr1Vr9MaKTKG5my9Um8hJdqv2w4g4XMx+W61hhf77XAwpELuLyuX9YRcoGDMOhCRAgkLSAamSE6YsbXNzaovBQjYwwO62QIlnzqkZa4\/eWAIE0BQZuhQRa3OG+3y3\/8a\/7v\/9xZxqDQOTiz\/vVdvvTlzCRqZi2TXP3sI4VxhCnGEIgchGXT1xEkR0TAQIECJwsEB+k8XEaH6rx0Woag0DkQjUyhkT8J4a3C\/VIVlw+cRGdfAHakAABAv0LDN8K2e2ummYXD96m8QhERiIvr0\/HmBmLxhOnSEIgMhJ5eZ0scwgQIEDgeIH4II2P0\/hQNY1HIDISeXmdxJgZi3qKc9s40DECkZHIy+tkmUOAAIHRCgzfChktjcAIECBAgAABAnMUMGYCBAgQIDB1Aa2QqWfY+AgQIECAAIFjBKxDgAABAgQIzEZAK2Q2qTZQAgQIECDwWsAcAgQIECBAgMD8BLRC5pdzIyZAgAABAgQIECBAgAABAjMWGL4VUhT57aL67evN377dmsYg8PuvN7\/c1GVx4NzI82xxLVkjOlEjWV9u66osZvwhZuifEbAuAQJvCKhGxlCB7McQNzjVyD7ImF9HslQjb3y0mE2AwHgFDjzu9hlsVB6Luoyn63iWi2dv0xgEIhePSanLCGb\/ZIg+yHVdRt+qKotYZBqDQORiUVc311Vd6Ybsn60\/v\/aOAAEC7wqoRsoiH9v0dIMrF7VqZHSpeX2qVGWxUI28+yFjIQECIxQYuBUSz2\/xdB0fqVk2Qpz5hhRFYV2X1c9\/axBpqp+aIJI1qjMjWlRxHdVV2Y7KewIECBA4TiA+RVUjx1H1upZqpFfu8w6mGjnPz9YECAwgMHArJB62i1wXZIDEf3jIaHxECbK\/WpHnrTn7S8fyepZx5HlWlXn8nuXoDZoAAQLnClRl3N9UI+cydrF9WbRrjyJvz+niuPZ5gkCuGjlBzSYECAwnMHArJM8ef4Yb\/lSO3M04WlVhll3F1M2h7PVcgSzLopA\/dy+2J0CAwCwFVCNjTnv2c3BZdhXTz\/O8G4tAlqlGxpILcRAg8KHAwK2QD+N7bwXLCBAgQIAAAQIECBAgQIAAgekLXHiEWiEXBrU7AgQIECBAgAABAgQIECBwCQH76EpAK6QrWfslQIAAAQIECBAgQIAAgc8L2IJA5wJaIZ0TOwABAgQIECBAgAABAgQ+ErCcAIH+BLRC+rN2JAIECBAgQIAAAQIEfhbwjgABAgMIaIUMgO6QBAgQIECAAAEC8xYwegIECBAYUkArZEh9xyZAgAABAgQIzEnAWAkQIECAwCgEtEJGkQZBECBAgAABAtMVMDICBAgQIEBgXAJaIePKh2gIECBAgMBUBIyDAAECBAgQIDBSAa2QkSZGWAQIECCQpoCoCRAgQIAAAQIExi6gFTL2DImPAAECKQiIkQABAgQIECBAgEAyAlohyaRKoAQIjE9ARAQIECBAgAABAgQIpCegFZJezkRMYGgBxydAgAABAgQIECBAgEDCAlohCSdP6P0KOBoBAgQIECBAgAABAgQITEFAK2QKWexyDPZNgAABAgQIECBAgAABAgQmJaAVcjCdZhIgQIAAAQIECBAgQIAAAQLTFNhvhUxzhEZFgAABAgQIECBAgAABAgQI7AvM\/LVWyMxPAMMnQIAAAQIECBAgQIDAXASMk8CzgFbIs4PfBAgQIECAAAECBAgQmKaAUREg0BLQCmmBeEuAAAECBAgQIECAwBQEjIEAAQJvCWiFvCVjPgECBAgQIECAAIH0BERMgAABAh8KaIV8SGQFAgQIECBAgACBsQuIjwABAgQIHC+gFXK8lTUJECBAgAABAuMSEA0BAgQIECBwgoBWyAloNiFAgAABAgSGFHBsAgQIECBAgMA5Aloh5+jZlgABAgQI9CfgSAQIECBAgAABAhcR0Aq5CKOdECBAgEBXAvZLgAABAgQIECBA4LICWiGX9bQ3AgQIXEbAXggQIECAAAECBAgQ6EhAK6QjWLslQOAUAdsQIECAAAECBAgQIECgawGtkK6F7Z\/AxwLWIECAAAECBAgQIECAAIHeBLRCeqN2oLaA9wQIECBAgAABAgQIECBAoH8BrZC+zR2PAAECBAgQIECAAAECBAgQGFCgp1bIgCN0aAIECBAgQIAAAQIECBAgQKAngRQOoxWSQpbESIAAAQIECBAgQIAAAQJjFhBbUgJaIUmlS7AECBAgQIAAAQIECBAYj4BICKQpoBWSZt5ETYAAAQIECBAgQIDAUAKOS4BA4gJaIYknUPgECBAgQIAAAQIE+hFwFAIECExFQCtkKpk0DgIECBAgQIAAgS4E7JMAAQIEJiegFTK5lBoQAQIECBAgQOB8AXsgQIAAAQLTFdAKmW5ujYzAPAR2Tz\/zGOuRo9y11mu\/by2e9Vs2++mn8aThFwECBD4v8FSM+BTdh2trtN\/vrzv312z2z4D+NLRC9t29JkAgPYH1dts0\/X1ojhwoKGJqBRn1WRi1Zs7tbbCEQ2vUu91V0zStmfN82+x2jetonrk3agIELiGgGtlXjBtKTPtz4vVut1ONBEs4hMb+pBp50Wh2vVYjWiEv8l4QIJCkwGq1XW\/jkzPJ4C8bdNxK15vtarNt7TZ4lqvtLha3FszmbQx9td6uN+2ux2bbLNchMxuINwYaPpvNI8Uby80mQIAAgQ8EVCMvQHFPUY28aOy\/CBnVyD5I63X49FyNaIW0UuAtAQKJCWy2zf3D+mG1nnk7JDodq\/Xmfrler1+1Qp6I7peb5vkvIBLL8LnhhkycHo8yr5pEUas9nzyxzrmHSXb7GPtq83jmrNabZAchcAIECAwsoBp5TsDjPUU18mzx8++QUY38TPLTu\/DpvxrRCvkpB94QIJCiQNQfd\/frP74\/\/N+\/7t+cpr7on98fftzHw+zhf+SwbaJhtPrjx3KGPiFz9xBNj3aH6PlUD5k4eWKdGco8DznG\/ufdKjpo8W3Ms4nfBAgQIHCCgGokbitxT1GNhMPrKWRUI69ZXuaET\/\/ViFbICR90NiGQjsA8It3tHv\/1aTzsznzabpugeCvnsXC2Pk8yh2Hi+X\/bNLOVeR54lO9x6hwGMpcAAQIEjhOIW7AbStxWnu65b\/6fuG2bXawzz+lJ5vDJpBqJU6L\/akQr5PDpaG7aAqInQIAAAQIECBAgQIAAAQJvCGiFvAGT4mwxEyBAgAABAgQIECBAgAABAh8JpN8K+WiElhMgQIAAAQIECBAgQIAAAQLpC1xsBFohF6O0IwIECBAgQIAAAQIECBAgcGkB+7u8gFbI5U3tkQCBngXyPFtcV9++LH77emMiQOCTAotfbuqqVA\/0\/LnlcAQIECDwoYAVCHQooPTpENeuCRDoQSDPskVd3lxXdVXWVWEiQOCTAuXiulzUVVUWPVywDkGAAIGpCsQXM9d1+cvt9ddzp4T38OW2jntKkR9+xsyyrK6K6L\/PkChk4vTI8+zg+R\/zY2msM0OZ5yF\/ub2OYr4sDp85B9HOn\/n\/AAAA\/\/+TLomhAAAABklEQVQDALkbj94bG124AAAAAElFTkSuQmCC\"\/><\/p>\n<h3>G\u00e9n\u00e9ration automatique du canevas<\/h3>\n<p>Commencer \u00e0 partir d\u2019une page blanche est souvent la partie la plus difficile de la planification strat\u00e9gique. Avec Visual Paradigm IA, vous pouvez g\u00e9n\u00e9rer un canevas complet 7S \u00e0 partir d\u2019un seul prompt. Par exemple, en saisissant \u00ab Analyse McKinsey 7S pour le divertissement en direct moderne \u00bb, l\u2019IA cartographie instantan\u00e9ment les sept \u00e9l\u00e9ments selon les normes du secteur, \u00e9conomisant des heures de r\u00e9daction initiale.<\/p>\n<h3>Id\u00e9ation et insights assist\u00e9s par l\u2019IA<\/h3>\n<p>Les blocages cr\u00e9atifs peuvent freiner l&#8217;analyse. Si vous \u00eates incertain sur la mani\u00e8re de d\u00e9finir \u00ab Les valeurs partag\u00e9es \u00bb ou d&#8217;identifier les \u00ab Comp\u00e9tences \u00bb critiques dans un secteur sp\u00e9cialis\u00e9, les fonctionnalit\u00e9s d&#8217;IA peuvent vous aider. En examinant le contexte organisationnel et les tendances du secteur, l&#8217;IA fournit des suggestions concr\u00e8tes sur les sept dimensions, garantissant que votre mod\u00e8le est complet.<\/p>\n<h3>Analyse strat\u00e9gique approfondie et recommandations<\/h3>\n<p><a href=\"https:\/\/www.visual-paradigm.com\/features\/visual-modeling-tool\/\">Les outils de Visual Paradigm<\/a> aller au-del\u00e0 du simple cartographiage. Le syst\u00e8me peut effectuer une analyse approfondie pour identifier les \u00e9ventuelles incoh\u00e9rences et proposer des recommandations. Il pourrait souligner que votre situation actuelle<em>Personnel<\/em> est insuffisant pour votre strat\u00e9gie ambitieuse<em>Strat\u00e9gie<\/em>, vous permettant d&#8217;aborder les risques de mani\u00e8re proactive.<\/p>\n<h3>Rapport professionnel<\/h3>\n<p>Une fois l&#8217;analyse termin\u00e9e, l&#8217;outil facilite la communication. Vous pouvez exporter votre canevas et les insights g\u00e9n\u00e9r\u00e9s par l&#8217;IA dans des formats professionnels tels que PDF ou Word. Cela est essentiel pour l&#8217;alignement des parties prenantes, garantissant que les insights obtenus sont clairement communiqu\u00e9s aux dirigeants.<\/p>\n<h2>Conseils et astuces pour r\u00e9ussir<\/h2>\n<p>Pour tirer le meilleur parti du mod\u00e8le McKinsey 7S et du<a href=\"https:\/\/online.visual-paradigm.com\/knowledge\/business-model-canvas\/business-model-canvas-guide-with-examples\/\">kit de canevas d&#8217;entreprise<\/a>, consid\u00e9rez ces conseils pratiques :<\/p>\n<ul>\n<li><strong>Commencez par les valeurs partag\u00e9es :<\/strong> Car elles occupent le centre du mod\u00e8le, les valeurs partag\u00e9es influencent tous les autres \u00e9l\u00e9ments. Si elles sont floues, le reste du mod\u00e8le aura du mal \u00e0 s&#8217;aligner.<\/li>\n<li><strong>Ne sous-estimez pas les S doux :<\/strong> Il est facile de se concentrer sur la strat\u00e9gie et la structure car elles sont tangibles. Toutefois, la plupart des initiatives de gestion du changement \u00e9chouent en raison du style, du personnel, des comp\u00e9tences ou des valeurs.<\/li>\n<li><strong>Utilisez plusieurs vues :<\/strong> Lorsque vous utilisez des outils num\u00e9riques, passez d&#8217;une vue globale du canevas pour voir le tableau d&#8217;ensemble \u00e0 une vue cibl\u00e9e pour approfondir des sections sp\u00e9cifiques (comme les syst\u00e8mes) sans distractions.<\/li>\n<li><strong>It\u00e9rez r\u00e9guli\u00e8rement :<\/strong> Le mod\u00e8le 7S repr\u00e9sente un instantan\u00e9 dans le temps. \u00c0 mesure que le march\u00e9 \u00e9volue (facteurs externes), votre alignement interne doit \u00e9voluer. Consid\u00e9rez-le comme un document vivant, et non comme une simple t\u00e2che ponctuelle.<\/li>\n<li><strong>Exploitez l&#8217;int\u00e9gralit\u00e9 de l&#8217;outil :<\/strong> Le McKinsey 7S est puissant, mais il fonctionne mieux lorsqu&#8217;il est combin\u00e9 \u00e0 d&#8217;autres outils. Utilisez un<em>canevas d&#8217;analyse SWOT<\/em> pour comprendre l&#8217;environnement externe avant d&#8217;utiliser le 7S pour aligner vos ressources internes afin de relever ces d\u00e9fis.<\/li>\n<\/ul>\n<div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Ressource<\/h2>\n<\/div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<ul style=\"margin-top: 1.2em; margin-bottom: 1.2em; margin-left: 0px;\">\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Qu&#8217;est-ce que le canevas de mod\u00e8le d&#8217;entreprise ? Pourquoi utiliser les paradigmes visuels et les outils d&#8217;IA<\/a> : Ce guide complet explique le canevas de mod\u00e8le d&#8217;entreprise, ses composants essentiels, et comment les paradigmes visuels et les outils aliment\u00e9s par l&#8217;IA am\u00e9liorent la planification strat\u00e9gique et l&#8217;innovation commerciale.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/business-model-canvas-builder\/editor\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Construire un canevas de mod\u00e8le d&#8217;entreprise aliment\u00e9 par l&#8217;IA \u2013 Conception strat\u00e9gique instantan\u00e9e<\/a>: Un outil aliment\u00e9 par l&#8217;IA qui automatise la cr\u00e9ation de tableaux de mod\u00e8les d&#8217;affaires, offrant des suggestions intelligentes et des aper\u00e7us en temps r\u00e9el pour acc\u00e9l\u00e9rer la planification commerciale.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai-toolbox.visual-paradigm.com\/app\/canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Outil AI Canvas \u2013 Conception intelligente pour les cadres commerciaux<\/a>: Une application de tableau aliment\u00e9e par l&#8217;IA qui aide les utilisateurs \u00e0 g\u00e9n\u00e9rer et \u00e0 affiner des mod\u00e8les d&#8217;affaires, des propositions de valeur et des cadres strat\u00e9giques gr\u00e2ce \u00e0 des suggestions intelligentes et \u00e0 l&#8217;automatisation.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Outil de tableau de mod\u00e8le d&#8217;affaires IA \u2013 D\u00e9veloppement strat\u00e9gique intelligent<\/a>: Une solution compl\u00e8te am\u00e9lior\u00e9e par l&#8217;IA pour concevoir et affiner des mod\u00e8les d&#8217;affaires gr\u00e2ce \u00e0 des insights intelligents, des retours en temps r\u00e9el et des fonctionnalit\u00e9s collaboratives.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-canvas-editor\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Mise \u00e0 jour de la version de l&#8217;\u00e9diteur AI Canvas<\/a>: Pr\u00e9sente un \u00e9diteur de tableau aliment\u00e9 par l&#8217;IA qui am\u00e9liore la cr\u00e9ation de diagrammes gr\u00e2ce \u00e0 des suggestions intelligentes et \u00e0 une optimisation automatique du layout.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Guide de l&#8217;outil de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA<\/a>: Un guide \u00e9tape par \u00e9tape sur l&#8217;utilisation d&#8217;un outil am\u00e9lior\u00e9 par l&#8217;IA pour g\u00e9n\u00e9rer et affiner des tableaux de mod\u00e8les d&#8217;affaires avec des entr\u00e9es intelligentes et des recommandations en temps r\u00e9el.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/mission-model-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau du mod\u00e8le de mission | Outil strat\u00e9gique aliment\u00e9 par l&#8217;IA par VP<\/a>: 28 octobre 2025 \u2013 Coordonnez des sessions en direct avec votre \u00e9quipe \u00e0 l&#8217;aide du minuteur int\u00e9gr\u00e9 et exportez votre tableau final ou vos rapports dans des formats professionnels tels que Word, Markdown ou CSV. \u2026 Le tableau du mod\u00e8le de mission est sp\u00e9cifiquement con\u00e7u pour les ONG, les organismes gouvernementaux, les entreprises sociales et toutes organisations dont l&#8217;objectif principal est la r\u00e9alisation de la mission plut\u00f4t que le profit.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.cybermedian.com\/comprehensive-tutorial-ai-powered-business-canvas-toolkit-with-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tutoriel complet : Kit d&#8217;outils de tableau commercial aliment\u00e9 par l&#8217;IA avec Visual Paradigm<\/a>: Cette page fournit un guide d\u00e9taill\u00e9 sur l&#8217;utilisation d&#8217;un kit d&#8217;outils de tableau de mod\u00e8le d&#8217;affaires am\u00e9lior\u00e9 par l&#8217;IA int\u00e9gr\u00e9 \u00e0 Visual Paradigm pour le d\u00e9veloppement automatis\u00e9 de strat\u00e9gies commerciales.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Outil AI Canvas \u2013 Visual Paradigm<\/a>: Un outil aliment\u00e9 par l&#8217;IA au sein de Visual Paradigm qui permet aux utilisateurs de g\u00e9n\u00e9rer et d&#8217;affiner des tableaux commerciaux gr\u00e2ce \u00e0 une automatisation intelligente et \u00e0 l&#8217;entr\u00e9e par langage naturel.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-the-business-model-canvas-with-ai-a-step-by-step-guide-using-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Ma\u00eetriser le tableau de mod\u00e8le d&#8217;affaires avec l&#8217;IA : Guide \u00e9tape par \u00e9tape avec Visual Paradigm<\/a>: Ce billet de blog propose une pr\u00e9sentation structur\u00e9e de l&#8217;utilisation des capacit\u00e9s d&#8217;IA dans Visual Paradigm pour cr\u00e9er, personnaliser et optimiser efficacement les tableaux de mod\u00e8le d&#8217;affaires.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/business-model-canvas-builder\/how-it-works\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Comment fonctionne le constructeur de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA \u2013 Visual Paradigm<\/a>: Cette page explique la fonctionnalit\u00e9 du constructeur de tableau de mod\u00e8le d&#8217;affaires aliment\u00e9 par l&#8217;IA, mettant en \u00e9vidence la mani\u00e8re dont l&#8217;intelligence artificielle automatise la cr\u00e9ation de tableaux et la g\u00e9n\u00e9ration d&#8217;insights strat\u00e9giques.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/analysis-canvas\/strategy-tools\/deep-learning-ai-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau IA d&#8217;apprentissage profond | Mod\u00e8le de tableau d&#8217;analyse d&#8217;outils strat\u00e9giques<\/a>: \u00c9diter la version localis\u00e9e : \u6df1\u5ea6\u5b78\u7fd2 AI \u756b\u5e03(TW) | \u6df1\u5ea6\u5b66\u4e60 AI \u753b\u5e03(CN) Afficher cette page en : EN TW CN \u00b7 Visual Paradigm Online (VP Online) est un logiciel de diagrammes en ligne qui prend en charge les tableaux d&#8217;analyse, divers graphiques, UML, diagrammes de flux, sch\u00e9mas de rack, organigrammes, arbre g\u00e9n\u00e9alogique, MCD, plans de plancher, etc.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/product-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau produit | Outil strat\u00e9gique aliment\u00e9 par l&#8217;IA par VP<\/a>: Cr\u00e9ez des produits que les gens aiment. R\u00e9unissez strat\u00e9gie, conception et retours dans un espace visuel unique avec notre tableau produit aliment\u00e9 par l&#8217;IA pour lancer vos id\u00e9es sur le march\u00e9 plus rapidement.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-ux-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tableau Lean UX | Outil strat\u00e9gique aliment\u00e9 par l&#8217;IA par VP<\/a>: 28 octobre 2025 \u2013 Cr\u00e9ez un cadre strat\u00e9gique complet en un instant. D\u00e9crivez simplement votre vision, et le g\u00e9n\u00e9rateur de tableau IA la transforme en un tableau structur\u00e9 et riche en insights qui vous aide \u00e0 visualiser, planifier et affiner votre prochaine grande id\u00e9e.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Lean Canvas \u2013 Visual Paradigm<\/a>: 28 octobre 2025 \u2013 Notre application est con\u00e7ue pour \u00eatre votre partenaire strat\u00e9gique, en fournissant des outils intelligents pour am\u00e9liorer chaque \u00e9tape de votre processus de planification pour le tableau de mod\u00e8le d&#8217;affaires. \u2026 Avez-vous une id\u00e9e de startup ? Entrez simplement \u00ab une application mobile pour la livraison de repas maison locaux \u00bb et laissez notre IA g\u00e9n\u00e9rer un Lean Canvas complet, d\u00e9taillant le probl\u00e8me, la solution et les indicateurs cl\u00e9s.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Dans le monde complexe de la strat\u00e9gie d&#8217;entreprise, avoir un plan brillant n&#8217;est que la moiti\u00e9 de la bataille. Le v\u00e9ritable d\u00e9fi r\u00e9side souvent dans la mise en \u0153uvre et l&#8217;alignement. Les organisations sont des syst\u00e8mes vivants o\u00f9 un changement dans une zone se propage \u00e0 travers les autres. Pour naviguer cette complexit\u00e9, les dirigeants s&#8217;appuient sur des cadres solides pour s&#8217;assurer que chaque partie de leur entreprise \u00e9volue dans la m\u00eame direction. Parmi les outils les plus durables et les plus efficaces, on trouve le mod\u00e8le McKinsey 7S. Ce guide explore les profondeurs du cadre McKinsey 7S, un \u00e9l\u00e9ment central du Kit complet de canevas d&#8217;entreprise. Nous analyserons ses concepts cl\u00e9s, fournirons des directives \u00e9tape par \u00e9tape pour sa mise en \u0153uvre, et d\u00e9montrerons comment l&#8217;intelligence artificielle (IA) peut r\u00e9volutionner la mani\u00e8re dont vous analysez et alignez votre organisation. Concepts cl\u00e9s : D\u00e9coder le cadre 7S Le mod\u00e8le McKinsey 7S est un outil strat\u00e9gique con\u00e7u pour \u00e9valuer l&#8217;efficacit\u00e9 organisationnelle. Contrairement aux cadres qui se concentrent uniquement sur des facteurs externes (comme PESTLE) ou la position concurrentielle (comme les Cinq Forces de Porter), le mod\u00e8le 7S se concentre sur l&#8217;alignement interne. La pr\u00e9misse est simple : pour qu&#8217;une organisation fonctionne bien, sept \u00e9l\u00e9ments sp\u00e9cifiques doivent \u00eatre align\u00e9s et renfor\u00e7ant mutuellement. Ces sept \u00e9l\u00e9ments sont cat\u00e9goris\u00e9s en \u00e9l\u00e9ments \u00ab durs \u00bb et \u00ab doux \u00bb. Comprendre cette distinction est essentiel pour une analyse efficace. Les \u00e9l\u00e9ments durs Ce sont des \u00e9l\u00e9ments tangibles, plus faciles \u00e0 identifier, et directement influenc\u00e9s par les d\u00e9cisions de gestion. Strat\u00e9gie : Le plan con\u00e7u pour construire et maintenir un avantage concurrentiel sur la concurrence. Il pr\u00e9cise le chemin que l&#8217;organisation entend emprunter pour atteindre ses objectifs. Structure : La mani\u00e8re dont l&#8217;organisation est structur\u00e9e et qui rapporte \u00e0 qui. Cela inclut le diagramme organisationnel et la hi\u00e9rarchie de pouvoir. Syst\u00e8mes : Les activit\u00e9s quotidiennes et les proc\u00e9dures auxquelles les membres du personnel participent pour accomplir leur travail. Cela couvre tout, des syst\u00e8mes informatiques aux proc\u00e9dures financi\u00e8res et aux flux de travail RH. Les \u00e9l\u00e9ments doux Ce sont des \u00e9l\u00e9ments intangibles, plus difficiles \u00e0 d\u00e9crire, et influenc\u00e9s par la culture. Toutefois, ils sont souvent tout aussi importants que les \u00e9l\u00e9ments durs pour d\u00e9terminer le succ\u00e8s. Valeurs partag\u00e9es : Le c\u0153ur du mod\u00e8le. Ce sont les valeurs fondamentales de l&#8217;entreprise qui se refl\u00e8tent dans la culture d&#8217;entreprise et l&#8217;\u00e9thique de travail g\u00e9n\u00e9rale. Elles relient tous les autres \u00e9l\u00e9ments. Style : Le style de leadership adopt\u00e9. Cela englobe le style culturel de l&#8217;organisation et la mani\u00e8re dont les gestionnaires cl\u00e9s se comportent pour atteindre les objectifs de l&#8217;organisation. Personnel : Les employ\u00e9s et leurs capacit\u00e9s g\u00e9n\u00e9rales. Il ne s&#8217;agit pas seulement du nombre de personnes, mais de la gestion des talents et de la mani\u00e8re dont la main-d&#8217;\u0153uvre est d\u00e9velopp\u00e9e. Comp\u00e9tences : Les comp\u00e9tences et capacit\u00e9s r\u00e9elles des employ\u00e9s de l&#8217;entreprise. Elle aborde la question : \u00ab Qu&#8217;est-ce que nous faisons le mieux ? \u00bb Guides : Mise en \u0153uvre de l&#8217;analyse McKinsey 7S Utiliser le mod\u00e8le McKinsey 7S exige une approche structur\u00e9e. Que vous soyez un fondateur de startup utilisant le Kit complet de canevas d&#8217;entreprise ou un strat\u00e8ge corporatif, suivez ces directives pour assurer une analyse approfondie. \u00c9tape 1 : \u00c9valuer l&#8217;\u00e9tat actuel Commencez par cartographier la mani\u00e8re dont votre organisation fonctionne actuellement sur les sept dimensions. Soyez honn\u00eate et critique. Vos syst\u00e8mes sont-ils obsol\u00e8tes ? Votre structure entrave-t-elle votre strat\u00e9gie ? Examiner les interd\u00e9pendances: Recherchez les lacunes. Par exemple, votre Structure (hi\u00e9rarchique) entre en conflit avec votre Strat\u00e9gie (innovation agile) ? Recueillir des donn\u00e9es : Utilisez des sondages, des entretiens et des observations pour \u00e9valuer les \u00e9l\u00e9ments \u00ab doux \u00bb tels que le style et les valeurs partag\u00e9es. \u00c9tape 2 : D\u00e9finir l\u2019\u00e9tat futur D\u00e9terminez o\u00f9 l\u2019organisation doit se trouver. Si vous lancez un nouveau produit ou p\u00e9n\u00e9trez un nouveau march\u00e9, comment les sept \u00e9l\u00e9ments doivent-ils \u00e9voluer pour soutenir cet objectif ? \u00c9tape 3 : Analyser les lacunes Comparez votre \u00e9tat actuel \u00e0 votre \u00e9tat futur souhait\u00e9. Les \u00e9carts mettent en \u00e9vidence les domaines qui n\u00e9cessitent une intervention. \u00c9tape 4 : \u00c9laborer un plan d&#8217;action Cr\u00e9ez une feuille de route pour combler les lacunes. Souvenez-vous qu\u2019un changement dans un \u00e9l\u00e9ment entra\u00eenera un impact sur les autres. Si vous introduisez de nouveaux Syst\u00e8mes (par exemple, un nouveau CRM), vous devrez peut-\u00eatre am\u00e9liorer Comp\u00e9tences (formation) et ajuster Structure (r\u00f4les de support informatique). VP IA : Comment l\u2019IA de Visual Paradigm am\u00e9liore l\u2019analyse strat\u00e9gique L\u2019analyse strat\u00e9gique traditionnelle peut \u00eatre chronophage et sujette \u00e0 biais.L\u2019outil Canvas aliment\u00e9 par l\u2019IA de Visual Paradigm transforme le mod\u00e8le McKinsey 7S d\u2019un diagramme statique en un espace de travail dynamique et intelligent. G\u00e9n\u00e9ration automatique du canevas Commencer \u00e0 partir d\u2019une page blanche est souvent la partie la plus difficile de la planification strat\u00e9gique. Avec Visual Paradigm IA, vous pouvez g\u00e9n\u00e9rer un canevas complet 7S \u00e0 partir d\u2019un seul prompt. Par exemple, en saisissant \u00ab Analyse McKinsey 7S pour le divertissement en direct moderne \u00bb, l\u2019IA cartographie instantan\u00e9ment les sept \u00e9l\u00e9ments selon les normes du secteur, \u00e9conomisant des heures de r\u00e9daction initiale. Id\u00e9ation et insights assist\u00e9s par l\u2019IA Les blocages cr\u00e9atifs peuvent freiner l&#8217;analyse. Si vous \u00eates incertain sur la mani\u00e8re de d\u00e9finir \u00ab Les valeurs partag\u00e9es \u00bb ou d&#8217;identifier les \u00ab Comp\u00e9tences \u00bb critiques dans un secteur sp\u00e9cialis\u00e9, les fonctionnalit\u00e9s d&#8217;IA peuvent vous aider. En examinant le contexte organisationnel et les tendances du secteur, l&#8217;IA fournit des suggestions concr\u00e8tes sur les sept dimensions, garantissant que votre mod\u00e8le est complet. Analyse strat\u00e9gique approfondie et recommandations Les outils de Visual Paradigm aller au-del\u00e0 du simple cartographiage. Le syst\u00e8me peut effectuer une analyse approfondie pour identifier les \u00e9ventuelles incoh\u00e9rences et proposer des recommandations. Il pourrait souligner que votre situation actuellePersonnel est insuffisant pour votre strat\u00e9gie ambitieuseStrat\u00e9gie, vous permettant d&#8217;aborder les risques de mani\u00e8re proactive. Rapport professionnel Une fois l&#8217;analyse termin\u00e9e, l&#8217;outil facilite la communication. Vous pouvez exporter votre canevas et les insights g\u00e9n\u00e9r\u00e9s par l&#8217;IA dans des formats professionnels tels que PDF ou Word. Cela est essentiel pour l&#8217;alignement des parties prenantes, garantissant que les insights<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Le guide ultime de l'analyse du mod\u00e8le McKinsey 7S | Visual Paradigm","_yoast_wpseo_metadesc":"Ma\u00eetrisez l'alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l'IA de Visual Paradigm pour une analyse strat\u00e9gique.","fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-3339","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Le guide ultime de l&#039;analyse du mod\u00e8le McKinsey 7S | Visual Paradigm<\/title>\n<meta name=\"description\" content=\"Ma\u00eetrisez l&#039;alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l&#039;IA de Visual Paradigm pour une analyse strat\u00e9gique.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Le guide ultime de l&#039;analyse du mod\u00e8le McKinsey 7S | Visual Paradigm\" \/>\n<meta property=\"og:description\" content=\"Ma\u00eetrisez l&#039;alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l&#039;IA de Visual Paradigm pour une analyse strat\u00e9gique.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/\" \/>\n<meta property=\"og:site_name\" content=\"Diagrams AI French\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-24T20:21:52+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\" \/>\n<meta name=\"author\" content=\"vpadmin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"vpadmin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/\",\"url\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/\",\"name\":\"Le guide ultime de l'analyse du mod\u00e8le McKinsey 7S | Visual Paradigm\",\"isPartOf\":{\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\",\"datePublished\":\"2026-02-24T20:21:52+00:00\",\"author\":{\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/#\/schema\/person\/ecc36153eaeb4aeaf895589c93d5de12\"},\"description\":\"Ma\u00eetrisez l'alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l'IA de Visual Paradigm pour une analyse strat\u00e9gique.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#primaryimage\",\"url\":\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\",\"contentUrl\":\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.diagrams-ai.com\/fr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Ma\u00eetriser l&#8217;alignement organisationnel : un guide complet du mod\u00e8le McKinsey 7S\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/#website\",\"url\":\"https:\/\/www.diagrams-ai.com\/fr\/\",\"name\":\"Diagrams AI French\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.diagrams-ai.com\/fr\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/#\/schema\/person\/ecc36153eaeb4aeaf895589c93d5de12\",\"name\":\"vpadmin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.diagrams-ai.com\/fr\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g\",\"caption\":\"vpadmin\"},\"sameAs\":[\"https:\/\/www.diagrams-ai.com\"],\"url\":\"https:\/\/www.diagrams-ai.com\/fr\/author\/vpadmin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Le guide ultime de l'analyse du mod\u00e8le McKinsey 7S | Visual Paradigm","description":"Ma\u00eetrisez l'alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l'IA de Visual Paradigm pour une analyse strat\u00e9gique.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","og_locale":"fr_FR","og_type":"article","og_title":"Le guide ultime de l'analyse du mod\u00e8le McKinsey 7S | Visual Paradigm","og_description":"Ma\u00eetrisez l'alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l'IA de Visual Paradigm pour une analyse strat\u00e9gique.","og_url":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","og_site_name":"Diagrams AI French","article_published_time":"2026-02-24T20:21:52+00:00","og_image":[{"url":"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png","type":"","width":"","height":""}],"author":"vpadmin","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"vpadmin","Dur\u00e9e de lecture estim\u00e9e":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","url":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","name":"Le guide ultime de l'analyse du mod\u00e8le McKinsey 7S | Visual Paradigm","isPartOf":{"@id":"https:\/\/www.diagrams-ai.com\/fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#primaryimage"},"image":{"@id":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#primaryimage"},"thumbnailUrl":"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png","datePublished":"2026-02-24T20:21:52+00:00","author":{"@id":"https:\/\/www.diagrams-ai.com\/fr\/#\/schema\/person\/ecc36153eaeb4aeaf895589c93d5de12"},"description":"Ma\u00eetrisez l'alignement organisationnel avec le mod\u00e8le McKinsey 7S. Apprenez les concepts cl\u00e9s, les guides \u00e9tape par \u00e9tape et comment utiliser l'IA de Visual Paradigm pour une analyse strat\u00e9gique.","breadcrumb":{"@id":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#primaryimage","url":"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png","contentUrl":"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png"},{"@type":"BreadcrumbList","@id":"https:\/\/www.diagrams-ai.com\/fr\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.diagrams-ai.com\/fr\/"},{"@type":"ListItem","position":2,"name":"Ma\u00eetriser l&#8217;alignement organisationnel : un guide complet du mod\u00e8le McKinsey 7S"}]},{"@type":"WebSite","@id":"https:\/\/www.diagrams-ai.com\/fr\/#website","url":"https:\/\/www.diagrams-ai.com\/fr\/","name":"Diagrams AI French","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.diagrams-ai.com\/fr\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Person","@id":"https:\/\/www.diagrams-ai.com\/fr\/#\/schema\/person\/ecc36153eaeb4aeaf895589c93d5de12","name":"vpadmin","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.diagrams-ai.com\/fr\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g","caption":"vpadmin"},"sameAs":["https:\/\/www.diagrams-ai.com"],"url":"https:\/\/www.diagrams-ai.com\/fr\/author\/vpadmin\/"}]}},"_links":{"self":[{"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/posts\/3339","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/comments?post=3339"}],"version-history":[{"count":0,"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/posts\/3339\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/media?parent=3339"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/categories?post=3339"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.diagrams-ai.com\/fr\/wp-json\/wp\/v2\/tags?post=3339"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}