{"id":4667,"date":"2025-12-29T01:58:04","date_gmt":"2025-12-29T01:58:04","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/de\/mastering-pest-analysis-a-strategic-framework-for-business-environmental-scanning\/"},"modified":"2025-12-29T01:58:04","modified_gmt":"2025-12-29T01:58:04","slug":"mastering-pest-analysis-a-strategic-framework-for-business-environmental-scanning","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/de\/mastering-pest-analysis-a-strategic-framework-for-business-environmental-scanning\/","title":{"rendered":"Beherrschung der PEST-Analyse: Ein strategisches Framework zur Umweltanalyse im Gesch\u00e4ftsbereich"},"content":{"rendered":"<h2>Einf\u00fchrung in die strategische Umweltanalyse<\/h2>\n<p>In der dynamischen Welt des Gesch\u00e4fts operieren Organisationen nicht im Vakuum. Ob Sie Gr\u00fcnder eines Start-ups, Produktmanager oder sozialer Unternehmer sind \u2013 die F\u00e4higkeit, externe Kr\u00e4fte vorherzusehen und sich an sie anzupassen, ist oft der entscheidende Unterschied zwischen Erfolg und Obsoleszenz. W\u00e4hrend interne Bewertungen wie die <strong><a href=\"https:\/\/online.visual-paradigm.com\/knowledge\/business-model-canvas\/business-model-canvas-guide-with-examples\/\">Business-Modell-Canvas<\/a><\/strong> oder <strong>Lean-Canvas<\/strong> sich auf Ihr Wertversprechen und Ihre Operationen konzentrieren, erfordert das Verst\u00e4ndnis des breiteren Umfelds ein anderes Set an Werkzeugen.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/10\/PEST-1024x540.png\"\/><\/p>\n<p>Genau hier wird <strong><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/pest-analysis-tool\/\">PEST-Analyse<\/a><\/strong>zum Schl\u00fcssel. Als grundlegendes <a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">strategisches Framework<\/a>, erm\u00f6glicht die PEST-Analyse F\u00fchrungskr\u00e4ften, die makro\u00f6konomischen Faktoren \u2013 Politisch, Wirtschaftlich, Sozial und Technologisch \u2013 zu analysieren, die Branchen pr\u00e4gen. Durch die fr\u00fchzeitige Identifizierung dieser externen Einfl\u00fcsse k\u00f6nnen Unternehmen ihre Strategien anpassen, um Bedrohungen zu mindern und sich neue Chancen zu erschlie\u00dfen.<\/p>\n<h2>Wichtige Konzepte: Definition des PEST-Frameworks<\/h2>\n<p>Bevor man in die Anwendung einsteigt, ist es entscheidend, die vier S\u00e4ulen des PEST-Frameworks zu verstehen. Dieses Werkzeug ist darauf ausgelegt, nach au\u00dfen zu blicken und die \u201egro\u00dfen Bilder\u201c-Kr\u00e4fte zu analysieren, die weitgehend au\u00dferhalb der direkten Kontrolle einer Organisation liegen, aber deren Entwicklung stark beeinflussen.<\/p>\n<ul>\n<li><strong>Politisch (P):<\/strong> Dieser Faktor untersucht, wie staatliche Eingriffe die Wirtschaft oder bestimmte Branchen beeinflussen. Dazu geh\u00f6ren Steuerpolitik, Arbeitsgesetze, Handelsbeschr\u00e4nkungen, Z\u00f6lle und politische Stabilit\u00e4t.<\/li>\n<li><strong>Wirtschaftlich (E):<\/strong> Dies beinhaltet die Analyse wirtschaftlicher Leistungsindikatoren, die die Kapitalverf\u00fcgbarkeit und die Kaufkraft der Verbraucher beeinflussen. Zu den wichtigsten Kennzahlen geh\u00f6ren Inflationsraten, Zinss\u00e4tze, Wechselkurse und Wachstumsmuster der Wirtschaft.<\/li>\n<li><strong>Sozial (S):<\/strong> Dieser Aspekt betrachtet die demografischen und kulturellen Merkmale des Marktes. Dazu geh\u00f6ren Bev\u00f6lkerungswachstum, Altersverteilung, Berufsattit\u00fcden, Gesundheitsbewusstsein und Ver\u00e4nderungen im Lebensstil.<\/li>\n<li><strong>Technologisch (T):<\/strong> Dieser Faktor bewertet das Innovationsumfeld. Dazu geh\u00f6ren Forschungs- und Entwicklungsaktivit\u00e4ten, Automatisierung, Technologief\u00f6rderung und das Tempo der technologischen Ver\u00e4nderungen, die traditionelle Gesch\u00e4ftsmodelle st\u00f6ren k\u00f6nnten.<\/li>\n<\/ul>\n<h3>PEST im Vergleich zu SWOT und PESTLE<\/h3>\n<p>Es ist \u00fcblich, PEST mit anderen strategischen Werkzeugen zu verwechseln. Um Klarheit zu schaffen:<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/www.visual-paradigm.com\/guide\/strategic-analysis\/what-is-swot-analysis\/\">SWOT-Analyse<\/a>:<\/strong> konzentriert sich auf <em>interne<\/em>St\u00e4rken und Schw\u00e4chen, zusammen mit externen Chancen und Bedrohungen. PEST wird oft <em>vor<\/em> SWOT, um den Bereich \u201eChancen und Bedrohungen\u201c mit datengest\u00fctzten Erkenntnissen zu f\u00fcllen.<\/li>\n<li><strong><a href=\"https:\/\/board.visual-paradigm.com\/templates\/pestle-analysis\">PESTLE-Analyse<\/a>:<\/strong> Eine Erweiterung von PEST, die zwei zus\u00e4tzliche Kategorien hinzuf\u00fcgt: <strong>Rechtlich<\/strong> (Diskriminierungsbestimmungen, Verbraucherschutz) und <strong>Umwelt<\/strong> (Kohlenstofffu\u00dfabdruck, Nachhaltigkeitsziele).<\/li>\n<\/ul>\n<h2>Visual Paradigm AI: Automatisierung der strategischen Analyse<\/h2>\n<p>Traditionelle strategische Planung kann arbeitsintensiv sein und oft Tage der Recherche erfordern, um relevante externe Faktoren zu identifizieren.<strong>Visual Paradigm AI<\/strong> transformiert diesen Prozess, indem k\u00fcnstliche Intelligenz genutzt wird, um zu generieren, zu verfeinern und zu analysieren <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">strategische Leinw\u00e4nde<\/a> sofort.<\/p>\n<h3>Wie VP AI die PEST-Analyse verbessert<\/h3>\n<p>Visual Paradigms kI-gest\u00fctzte Tools l\u00f6sen die h\u00e4ufigen Probleme des leeren Blattes und der Daten\u00fcberlastung.<\/p>\n<ul>\n<li><strong>AI-Leinwandgenerierung:<\/strong> Anstatt von Grund auf zu beginnen, k\u00f6nnen Sie einen Prompt wie \u201e<a href=\"https:\/\/canvas.visual-paradigm.com\/pest-analysis-canvas\/\">PEST-Analyse<\/a> f\u00fcr Tesla Energy.\u201c eingeben. Die KI zeichnet sofort die wichtigsten politischen, wirtschaftlichen, sozialen und technologischen Faktoren f\u00fcr die Energiewirtschaft und die Automobilbranche auf.<\/li>\n<li><strong>KI-unterst\u00fctzte Ideenfindung:<\/strong> Wenn Sie an einer bestimmten Stelle steckenbleiben, beispielsweise bei den wirtschaftlichen Faktoren f\u00fcr eine Einzelhandelsmarke, kann die KI aktuelle Inflationsentwicklungen oder Handelsverschiebungen analysieren, um relevante externe Druckfaktoren vorzuschlagen.<\/li>\n<li><strong>Tiefgang und Organisation:<\/strong> Das Werkzeug erm\u00f6glicht es Ihnen, sich auf bestimmte Bereiche zu konzentrieren. Beispielsweise k\u00f6nnen Sie innerhalb des \u201eTechnologischen\u201c Quadranten die KI nutzen, um spezifische regulatorische Entwicklungen oder wettbewerbsbezogene Fortschritte aufzulisten, Anmerkungen hinzuzuf\u00fcgen und Datenquellen zu verkn\u00fcpfen.<\/li>\n<li><strong>Generierung strategischer Erkenntnisse:<\/strong> Abgesehen von der einfachen Auflistung hebt die KI hervor, wie sich sich ver\u00e4ndernde Politiken oder Marktbedingungen auf die langfristige Positionierung auswirken k\u00f6nnten, und schlie\u00dft so effektiv die L\u00fccke zwischen Beobachtung und Strategie.<\/li>\n<\/ul>\n<h2>Praxisbeispiele<\/h2>\n<p>Um die praktische Anwendung der PEST-Analyse zu verstehen, betrachten wir, wie sie sich auf unterschiedliche Branchenszenarien anwenden l\u00e4sst.<\/p>\n<h3>Szenario 1: Automobil- und Verkehrswesen (Hersteller von Elektrofahrzeugen)<\/h3>\n<p>Ein EV-Unternehmen muss sich einem komplexen Netzwerk von staatlichen Anreizen und Infrastrukturaufgaben stellen.<\/p>\n<table border=\"1\" cellpadding=\"10\" cellspacing=\"0\" style=\"width:100%; border-collapse:collapse;\">\n<thead>\n<tr style=\"background-color:#f2f2f2;\">\n<th>Faktor<\/th>\n<th>Analysepunkte<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Politisch<\/strong><\/td>\n<td>Regierungssubventionen f\u00fcr gr\u00fcne Fahrzeuge, Einfuhrz\u00f6lle auf Rohstoffe und CO2-Emissionsvorschriften.<\/td>\n<\/tr>\n<tr>\n<td><strong>Wirtschaftlich<\/strong><\/td>\n<td>Schwankende \u00d6lpreise, die die Attraktivit\u00e4t von Elektrofahrzeugen beeinflussen, die Kosten f\u00fcr die Batterieproduktion und das verf\u00fcgbare Einkommen der Verbraucher.<\/td>\n<\/tr>\n<tr>\n<td><strong>Sozial<\/strong><\/td>\n<td>Zunehmendes Umweltbewusstsein, Reichweitenangst bei Fahrern und Urbanisierungstrends, die den Fahrzeugbesitz verringern.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technologisch<\/strong><\/td>\n<td>Fortschritte bei Festk\u00f6rperbatterien, Ausbau von Schnellladenetzen und Integration von autonomem Fahrsystem-Software.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Szenario 2: Lebensmittel und Getr\u00e4nke (globale Fast-Food-Kette)<\/h3>\n<p>Eine globale Franchise steht unter Druck durch Gesundheitsaktivisten und Volatilit\u00e4t in der Lieferkette.<\/p>\n<table border=\"1\" cellpadding=\"10\" cellspacing=\"0\" style=\"width:100%; border-collapse:collapse;\">\n<thead>\n<tr style=\"background-color:#f2f2f2;\">\n<th>Faktor<\/th>\n<th>Analysepunkte<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Politisch<\/strong><\/td>\n<td>Gesundheitsvorschriften bez\u00fcglich Zuckergehalt\/Fettgehalt, Erh\u00f6hungen des Mindestlohns und Lebensmittelsicherheitsstandards.<\/td>\n<\/tr>\n<tr>\n<td><strong>Wirtschaftlich<\/strong><\/td>\n<td>Globale Lieferkettenkosten, Auswirkungen der Inflation auf die Menupreise und Engp\u00e4sse auf dem Arbeitsmarkt.<\/td>\n<\/tr>\n<tr>\n<td><strong>Sozial<\/strong><\/td>\n<td>Verschiebung hin zu pflanzlichen Ern\u00e4hrungsweisen, Nachfrage nach ethischem Beschaffungsverhalten und \u201eon-the-go\u201c-Lebensstilgewohnheiten.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technologisch<\/strong><\/td>\n<td>Einf\u00fchrung von Selbstbedienungskiosken, appbasierte Lieferplattformen und KI in der Bestandsverwaltung.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Durchf\u00fchrung der PEST-Analyse<\/h2>\n<p>Durchf\u00fchrung einer <a href=\"https:\/\/www.visual-paradigm.com\/guide\/strategic-analysis\/what-is-pest-analysis\/\">PEST-Analyse<\/a> ist kein einmaliger Vorgang, sondern ein kontinuierlicher \u00dcberwachungszyklus. Befolgen Sie diese Schritte, um die Wirksamkeit zu maximieren:<\/p>\n<ol>\n<li><strong>Definieren Sie den Umfang:<\/strong> Bestimmen Sie, ob Sie eine spezifische Produktneuheit analysieren, in ein neues Land eintreten oder die gesamte Unternehmensstrategie \u00fcberpr\u00fcfen.<\/li>\n<li><strong>Daten sammeln (manuell oder mit KI-Unterst\u00fctzung):<\/strong> Verwenden Sie Visual Paradigm AI, um die erste Liste von Faktoren zu generieren, um sicherzustellen, dass Sie offensichtliche Makrotrends nicht \u00fcbersehen haben.<\/li>\n<li><strong>Auswirkung bewerten:<\/strong> Nicht alle Faktoren sind gleich. Bewerten Sie jeden identifizierten Faktor nach seinem potenziellen Einfluss (Hoch\/Mittel\/Niedrig) und Dringlichkeit.<\/li>\n<li><strong>Strategische Ma\u00dfnahmen entwickeln:<\/strong> F\u00fcr jeden negativen Faktor erstellen Sie eine Minderungsstrategie. F\u00fcr positive Faktoren erstellen Sie eine Ausnutzungsstrategie.<\/li>\n<li><strong>Integration:<\/strong> Speisen Sie diese Erkenntnisse in Ihre <strong><a href=\"https:\/\/online.visual-paradigm.com\/infoart\/templates\/swot-analysis\/swot\/\">SWOT-Analyse-Raster<\/a><\/strong> oder <strong>Ziele und Schl\u00fcsselergebnisse (OKR)<\/strong> Rahmenwerk ein, um eine Ausrichtung \u00fcber die gesamte Organisation hinweg sicherzustellen.<\/li>\n<\/ol>\n<h2>Fazit<\/h2>\n<p>Unabh\u00e4ngig davon, ob Sie ein <strong>Mission-Modell-Raster<\/strong> f\u00fcr eine Non-Profit-Organisation oder ein <strong>Blue-Ocean-Strategie<\/strong> Layout f\u00fcr ein Startup verwenden, ist das Verst\u00e4ndnis der externen Umgebung die Grundlage f\u00fcr fundierte Entscheidungen. Die PEST-Analyse bietet die notwendige Perspektive, um diese externen Kr\u00e4fte klar zu erkennen.<br \/><img alt=\"\" decoding=\"async\" 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iNscKyACiMB0RAC0G4LIuVparJAirQG54iVPwAYJEhCgCAMigAjMPARAuyGApsPQIAExBDEBaQhRl5CjJ4itxISeVlgHEUAEpjUCor6LiVEOR6QjJkZJEJtPPwSQ4xsPAVHfxcQoMRDpiIlREsTmiAAiMPUREPVdTCjyLDwhIpbxfRFc8mYQQw7EECATAyKACMwkBECvIXAdh3FBGmIIkANx0mGUzZPuFxsiAojAVENgNNZgNG2nGg6J8YO1EQFEQI7AaKzBaNrKucArRAARmN4IqFmDyIEI7IXEAGOFBlGXkIkBEUAEZhICoOYwHFHToy4hH0pHHzhZTmesaHJqGCMCiMBUQECq11J918ubvnpSytIe9bXGWogAIjDVEZDqtVTfx5ZvKWVpj2PbC1JDBBCByUJAqtdSfdfgJ3IgIq0EhCBAjkiFX0IOBkQAEZgxCIh6zTUdLiGM6+h4R+PaBRJHBKY6AjOOv4nX64nvccZNGg4IEZhyCEy8Xk98j1MOdGQIEZhxCCSh1woHIlIq4707mnFTgANCBKYlAlJNl1qAMRmMlPiYEEQi0wwBZPdGQmD89H384Xwk9gAAEABJREFUKN9I84NjRQSmBwLjp+\/jR3l6IItcIgI3EgI69T1yICLdBUnTOgndSNjiWBGBGYWAVMelui9Nj9WApX2NFc0pRwcZQgRuMAQmXq8nvscbbEpxuIjAJCAw8Xo98T1OAqzYJSJwgyGQhF6nwJ5HbAbpGwwxHC4igAgoIyBaA7APYlq5KuYiAogAIoAIIAKIACKACCACiAAiMA0RiDwhIjIP+x8xzROQA4GnMZ4sBAba9lT\/n8rK53cc9g5PFg\/YL0VgBr1BryFEDSg2J6oCXt6ACKD9uQEnHYeMCCACiAAigAhMBgIDp16qroRNz98d7sFNz2RMwI3Wp8KByHhAMOzr6vB0RMJHvsDQcCjS07CvW1Iq1uy9Eqly7Urvh0Kdnt9J2g77usT6MYlef4SAPDUc6fFfJb3IK43uauD434EuQ9hx\/Pejo0RbD5w93T88QkjoSke7l2ZM2Bs7QgSmDALDcSwJia4g2ASJKRkJXekNm6OPfBJTcqVXqCzYmYi98nR0+WBBHg4bDXYlwWQ4iiuBjqRTSWWWHA6T6ugYL\/tDBv55B1gfCDv+eYB1OpoI7c9o0MO2UwwBf6+g3d1UsWXMjYh2oGfgWow9+bB3YCgQgoU40kasH6PvoWHfR4Ix6eq9Im8VaU9TIj+C6RBadcSQpJVvlPfZfWC8aNh39kYZMo5z2iKg6lfIRhS63BvesPT4PpfsgWS14EK0Kh1dvwPfA3IiYTjK31AwSpHKkpQWTUm10STHdNfz+7Onf0vHHrrccfr8aLjCtoiALgSUD0TG\/BZx4MO3Dv\/0cCTsf9H1g+rn\/3Ln4Q8DjM1A11uSUrFmWz8rDfX\/Yk\/1X+14+aBQ58e7qp+v2Xf6Misc6npLrB+T+BUnwCrKouGun4epHd73s7NS\/0ZWb+pcZOTek8G4Scu+K5MlMEIExh6BMdf9sWUxniUh0RUEmyBYglD\/O3tcz+94+VXBFu1\/sfovq\/e18yPR\/l8JlQU7I9RhmW9RSyWaqbe6hmTD0u5UVpVfoP3hOGCMCEwKAsYrZ48wNX\/lpx65LhPv8X1M5Q+3eIOpMfbk4Ms7f+B6\/i9dL\/+iP7ybEe2GYGTogEYCPf+8B2zLi\/tZLz89\/OrLO57\/yx2v\/stAuBWtFXn3\/0pqbSJpwQWKVMQUIoAITDUENP0KgdnQYMerf\/f883\/38qvcvPz0xy\/WPF\/90vEevgcSaoU\/+k\/9RKh2+NVDp6JuaET7GwpGKUxH+qlJU1pxqqQzcpekM17SsnNx08OQwGhcEUgh6uSlW6Nx+RGBawMdB1\/82W\/VOWAlw52v7G1hD0ewSyH63PuzXT\/pSfYgI9BxuldsO+Lt8NBjSIHyVP2wfH3bC1UOR5Xjya\/Mnao8Il\/TDAGpXkv1fZoNQ58lIcNnX\/nR8f7P5YMbGfa+\/v\/9ycQ+dIX2Rz4HeIUITCwCablLsnmPvvc7ZTuSnrNd\/Mxi7peXqzrhoUBvy5597Spuw4jv+P\/92x+fjHFaQle6juz82yZ8+psjjzEiMCMQ0OFXDHe+6vqHw12XuWmJjHr4t+\/8eOeeU75IDk\/1tHdErNLljtNqd3Z5bR5rGyVCkqHJKU9WnGIp\/t4LzuccTseTeebJYmJm94ujkyGg\/ISIrMqYXszNf9LxnMPx3NaH\/jSNEQ6cPtXFEjyau6rCHXltXAK53rNebkVM9u++AGVbV2Vwroe7zv4rIV8sfhYyafiOFWrTYP0OvaTvJ2z0OuZ9peOszAL1ftgldW0GfrXHxV57fuUb+JfDL\/4tu\/iHfe94IzaK0gwNdPz0xR3Vz1c+X71j1+GOywOnXmI1XXtODdJy6XvgFy\/yMlfDaQmV3p9x4q6dP++l1eEU+fCuHS6g+X+er\/7bFw9LbigBV39b9+KLdX+751fCebFGZUoL34jAzEUgniUhc1duoyZAeD9BTcn5973XGCKmPGpK\/mbrKn7\/gQx3dfYQsuQJofK2VfNYNRIxR89+nT+fxfNVY4VOFerGsT+k+7BgK37aFfC+s+8f2JXcGlCq42B\/SKDnnf07XTXPV4JRc+3c94ueQPjgGO0PxRzfMwSBtDy74C\/4PjgbWZFHes5+xN0Ni\/0rMpUXDc53vizk956KvnPLsfG9\/eo7lxiRlLTMrz785Pccji3fLb57roEVB37z2uEPpe4GyxWju0TnhRkj6gJJ\/Yrh3l\/s2yk6GCOBHrgEbQVv4R\/2vdM73PVTZitcrsPdjGJ3xJJc8RwWPBmwJB72TBw3IKwFdWAGGc+sHY3AFBx8cQcQZ6bg5Tc6hIdbrp19lTVx\/e3PmM9CyNDpl3mOa887wreD+3\/OrdaLxwVPC\/p64+Wd1LOpfL5mx4sH35HeGAfbwgmAbzPcSy0eJCgP8jfsKnfweq6dh7vVMZS3witEYHwRiONXEPJ5x08Od9EvvBNimJdbvHGr47ltT357eeatjK\/h\/p8fOi749CyDgBUSTmX5daDrrPKJiH6jFJemRAe1dj180wEbFNj0vPjTjiu\/PyVsll5SMIaj3vWA6fvbnbte3Pm3kS0VZ4AaEjB6YMokWyQOlmaMhYiAFgIpWoXjUZZmMs2BYFlemMtPRMjvfTJboNFpyizqUliKt9IjFThV+f5Dwk0ejTZKRf6zXXyVtlitc1iFfz17Vrq8Dn8WYC\/fyZd3Hunw+dnFJe\/xfTv3dYbrfX52H6zKHt+V4RAJDV\/5Xcfhv\/\/hOz5WM\/DZ8H8wspIo48u5Jl74rx0d4i+bfARplpuSfTeMxfsT198f7vjdlQDQHAkN+30dR3a6fgpbNUYozNVnnAXtyqwFRojAjEVgNJaEkFkphMD9h\/8JZoSG73\/zzokDKq79Cf07MwqBQPfhnfuOey+xK2YNXvxnbrnAxxoH++M\/9eIPfnz8o4EA\/W5zaDgw4G358d++dIptnghB+zNxIoI9jT8Cd99rBSMA\/fzu\/bPit2a8Z7v4makld0nUPcmwwVlSshzWamhHLn8a1kZ6JbyHO37exjUmzfrIs0+vyctON5n+ZNGqR599eiU\/SRnuOnma1xCaxPsYZgYgEPB3HNjxcot3gDsYI77j\/+D6MVyCtoK3AP7JyzsOdwtV\/50fboiW5Dev7vhp2JMBS\/LTHTvf6vj5\/915GBwY1uLK7zoO\/4N4ekGI7\/hOMAUf+q4AcfBvAgO9vz6807Xv7OeEpGZ\/aQ5r4+\/t5Td+\/rWnl2UEAv1d59nh0tAnvZdo1vAXMy0wOh\/smnYe\/nXvAPVsSOjzK74Pj\/\/4B66ffMRdmYht8Xe8uuPl42DxBCcH2orh89OvvtZ1hVINpNm\/83CO4D+K5ZhABCYdgVlgUmL8iv5fHBfuxKSvevp7j626y2Kak5Ftf+jpbd+xcike\/NU7H0l4D1shg9WaDQQJCXz4vvKJSByjlAjN4fi7nuHOfXyHAhuU0PAVn+fwjvrwpicQ1mVJn6Pf9YRNX3hLhbseCbyYHHMEmLaNOVUdBAf6PhUU6L+YTJH61z+N\/Lqq8MuFmX9Cl1SoEviXl5\/\/u33HPb3\/LlgBUxo9IIGSxMLAv3i4H2PJeejPc3jnvR2\/VnBRQsPDhvTs3LuzhZs7ZNj71nFumHre+Gn4z14MaWaLZX6aYWR4mPtSiuyYly\/\/U17g8\/yLcAR09l\/Ocr\/F8pUVmWT49K\/4sUxa9srHHnt0VTazlcOe46dEd40ToHFClWkDfCMCMxIBFUtCrkt+eCxsSr4UNiUdL\/\/ljn3\/3NH7eRo7nzWZbk3KlMQAqtBpTB399ocMD183Wax3Wy38VhIhA7\/8eQezm+Ngf0j\/L3\/lY8+DZHz54ccefYh\/fTfU\/8\/HFb5PhPYnZl4xY3ohkLJk+d1c6yPfmun5sEtYkZfkqX4x1Re+hTPvNsGeSAf+sbeXKRGZt\/ybNraEh0stRSvCD6V0dSus6azeUPjXXj0dveKNE1YC26KBQab87PLKyZ++w88jCDHcmmH5E5MhZXg4Us4qiRGwlApuU8RlGvjV4VODxMDzUli9kYF3jpyi5xkjPT95+Z0BaEJImiWveM0q6zwDrTHs\/ck+OB41Wf+UYzPw6Sc0u6dPeFIELnz\/j6X7P+EuVrZ1ESH9P9v\/837OmAHMWXZGKlQkZCRw9tBPuMfDrmkUGBzgFemF9A2nPy\/9jAObdtd3\/sfXFYCXVsf0DYnAJA06U9uvGOj5V6pVwJz1\/mIL1zW4gHDrkq8LZibU9WEPZPAQ3hcYcvO\/I3yzL9Dxa+mJCa8njbWNEiH6aaruekZ6fnY4sumZ+yeWDNiADcPZiJQPedqMux45IHg1tRGQaudEcHrl3R\/SZx5rnt\/5C75ikmzbEonXEPC2CD9Cdvinwi8Xzl357W9mClVCl73v\/PTlHX\/5\/M797\/TCzYpkWO4\/\/Rt+9mHJ\/fLczCW5\/ETE132W58pIZj\/k+N6Tjz365LPfKxZW4KHeHvBCRs6e\/pA7Tgbr2u87v7916\/9yOtYLp70yCpGLtLyvLmFuBbnyG\/aVwOGODr7TSMle\/lXwMEKhP\/DaaXMzLYvuLn7sycce\/vbDD397uYW5JrwsHCdUOdwIPxGBmYJAPEtCAt7j4m8Tsp9EJcS86tsPiKbkivfk4Zf\/9vnn\/54+aj5WqCh0Gk06EfszZ\/mm57Y+8egTWx3fXSLsInq9H8NeYjzsD7l6jW9GDKYv3rYoZ\/l3\/tuTzP48lGvi+dKRoP2RooHpaYnAoiW5fEX2fcC\/NSP+fkh2Xh73CyLjEgyOq\/r5BuHr\/ZZldv7IR6QSIcOfh5UlIyO6NOVLtwnfxQuqnlz4OkSrJfmN1nAPc3KLH31y23P\/Y1XGgOc3ggc196tP\/1XVtq1bHC9sCX+bOFw98jln+dN\/5XQ4HM6\/eiyXWxJCDNaHHSzvhU3LhdH+7mN6ntHtEc4psh96duvDq75a\/MT3nhDw+F2HZ5BkWK28vu93cHtooP8T5gulsN5+9wnN8nHeshctJMT76w5++pNm\/c5zjq1PPLntr7au4Dhc8\/5KwJK1hSjFlPv1x578nuN\/CE\/TQBYNn7796jvgd0EyfdWTj0s9Rsi6YQMOfGogEMevCA4HOZ9zb5vPE5HYcpvwrd1QuBIR9wWpuUusaXA7ltUOdZ2NnJiwHBrpNEoJ0SRqu54PT5\/ld3xTrQ9\/3\/nslq3bnI7v3CVszSg3Cm\/c9SiAgllTFgG+iE0ge9fYM1D0OUzo1DDX\/t3HviLTKMOtpvDrC2k3Qx36ZPuKpx3PPvlQHr0HwnJGQgMfHX+59lXZL3+wkvjRb98X\/iGCPxObeW8u\/9aMz+MRvv4aoTE3kz+lAVup3EV8CSch8h9wo3ZgkB9SpOYu\/wr3DUia7c+XCMkIBVnqrq\/m8b6Gut7\/LRnuPMvveBjuXpFHMTDl3GNh9a907N\/x\/P95fueRs\/5Zt9375bzsqGd3aaWEKtMG+EYEZhQC8SwJYXdEuTH5AtUvOnrLnz3t+P6TD9ktpvCuIFfwc6oAABAASURBVDToPf7yjlc\/DG9jaK1RvJU6lZFLxP4Qy5cyuYVOWbRIeEyfXAfLMzAe9ocssvGvMYZ633oR7E\/1j9\/xXZubvSQv1xKGLzIStD8RLDA1XRG4a4lwOsC\/NRN+Up1k5yrsubnBCQzTf89NSctc+eSTfwa3MaKHngZ3TXneyHX+KYmDWs+QSuqpJE3L1z+26u7sjDkmQ4rvU\/4ve8Sy\/GuZ\/FiHWFYs\/68qTUVLYsjNDVuS7C8zvwNa3BG+xQ1p8G6E4wxCLhzfSe9fuVw\/ePV94f7TAP2a0B3WbGY\/A4OfDg\/3fkI5MeV9hT3+EqB3jD7xsbtL874E\/tPAb4W\/4zHctXwJf9ItxfJny7irQ4QnSli\/EJm+8vhjK3Ppl4wYfchhwXvqV1cIIQSOVJ6S32NnxRghApOLgKZfYUwLCzNdu+WMxj5gEdkX3LVkUQpJu3sJ\/9ZMCM4jYOmXNyf6jFJCNNV2PQO\/50eSxJC7XDgeJWlLvhZn00Nw1xM1ZXg5hRHg7vbEMci+gZKbe3fucrgP8P2\/evbbi+S+9tw\/exJuY\/Dw9Arh8BTYM8zNXv4w3AN54YWta3NNnOvhrneibi9AxXih51+ENmm3hno9HR2eSwazgTW60vEvcG+DJfVHt6TNjlQ2GDilSE5UKnPFV7gfEOg4ffq0h96MIcSUd98iXm\/un211PFFsnc9cqpFQ4Hdd7xx68a\/+7zvCF2x4pXCcUOVwI\/xEBGYIAvEsCZl73\/\/gdgTip\/8sQxy2wZy9\/NtbHX\/tfmHrw8JhKBnu+qVHeKpVrJdUQq1TkdhUtj\/E+h3H9x7OE86dQ8OXek+\/8fKOHyifO6P9EecUE9MWgUVf\/TK\/iUG\/NdPTKXxfJlv21KowOJN1Bf8SGVxb\/vx\/Pv112OxDMibMmcspkv\/XG\/0veP6PP+FWJiU95umRMJ3Ij6q6Y34SflaaMVwt8plmSBUv0uJ5IGLNRBOGtFv52bLpj6iTEz6fvfDJJx\/3Uj8mxZL9tTuZczPwSW8PP1Ex\/emiiNklJC014isZUuV+X5idWUojDBcS8oXbMpTbRapgChGYFATU\/QqT6b9wjq70fsQOCvkViz\/5f+xbZ4TM\/SLTHhLwCPsCMndWoAN2KN3BNH4bdUTh3zD1GaXEaDK+tCKpIpNUwyytulCWibseQAHDtECAHy1MHKt\/lPvQY48+BuEhuA8gnERo9x7q\/cWrrx6k4ecfBkiKwfKVx77JbkVAs+Bwgvd1R8RnYsnwv77Dn0099Vv2wCchgW6VHy6CnqJChlk4qwl0vf\/bcJnv\/e7oL\/2Gi8Kfc7+6XDju\/ejn7\/yO5f5pcXEmS8AJyFCAfDHv2\/\/d8cLfvPDskw\/x3Vro0jvveFkFaZRQZWlDTCMCMwKBxC0JCf3rO9ySvPpmF2xMDJa8xx4ImxL1b9+PJVpT2f6Q0PBQYDh1UfHj2\/7qb15wbvnOcv7tos+Vzp3R\/oylWCAtQsjkgJD55fB3Zr0\/Pc3PQ1Kyl9ydFsvNLEvedx4Wvlri+8Xh08ITEzEV7wg\/c3rt7GuvdIh\/0kRC\/T\/\/R+EvVwx3L18yWs8rI0N4brS3K\/JD7x1d\/y+Gn8QzMuYJ3o3hrkfgNJmG576\/dctWFrY9lEMpWq3sOZNrvlP\/wnZ0\/3WR1ZzNH2X95MNT7NzHkH0X9WwyvihQC\/zrhz7hFvfw2Q\/pKQoQCu8DIakRMq38yfzBd15+Rfg2j0ZtLEIEJhKBeH5F2hIbUxZCfL\/48c+F56UogwHPvtc6+e4j\/J9W\/o73+b6AkAEP\/\/WAn3eFtxVR\/4YJJHQZpQRpAlnFIJqFwEfv9wuKTHxnu6PPeGIa464nBhLMmKIIjHZZHuthSX9UtaOjF3TNMOvzT7o+7IJw6sgrP+v0+Tp\/9uvwGUT6F6V3IHTwIj4Ta6A\/Jibc8jCZ2CMZhAx1\/Dr26EGRakpurvALqYHTP9rx8hvvvAO3UvecAnYVq0cy0\/JW8B9yuxZihtCw5Kt5gvOV8vHP\/97l+oHL5dp52Pvvf\/Rfc3MzTaxh5NuF7JJFCVVmLTBCBG4oBKS\/b9rhYabklsAnzJJ0tR1+5Y2zvt+d\/dm74YfCYr\/wrwWW1ExRymLd2E7FIpqYyvaHDHteYfbnB659vxqYZcldzvc3hCicO6P9odM5mje2nRoIiN+Z7fUK\/wRhzQsvyTEc3lH8zbsMNHek9\/jPe2hC4Z1Z\/GAuX9OHPzrs+qudL8PtnH0vuv5qzyn+yHmK5evfEJ4JVWitN8ty913cPSC9b+x48eDxd\/751RfBceBf8tdLRKVeTq5w26bztT1vdPR81PGzlwTL4Np\/+t9Zo7S7FrE72gO97Acj52ZmpxFL9n81QGGot5f+gkhK9iLuIy2815oK2YRcPrXn7\/cd\/\/U7h1\/c8TN+HpJiWf4VPS5c2r2PP7Gc3Scf\/ugnPxT\/aYtRxQgRmFwEDPH8irSvPLSKnwqODJza81euXfvgxszLf\/+8K\/zHDGlfLl7Fzjev\/Eb4A0wi+e4t3aDwjdq\/nvbwn+ORDjieUUqGppS+mA6bBTJ0eu\/fv\/yzk+\/87OUde\/h32cQ6ignc9SjCgplTDwGuZ1OHr4A38qOqhw+30e1K5p9\/U\/i10uH+04defPHQaeEXy9NXff3uxDgP\/9IysRRvo\/c9wu8nhN8BCXX9Rs3LieooLe+b4R8wC13p\/fXx47\/uvQInHDrgXHRf+Pt3QHJO3lfvgg8eFq1awZ0D\/hsirp98CLexCUnLzVvIK0jjhCpLG2IaEbghEAhIflT18E\/ZDxRmwn5G2Kr0\/\/onL+76iWBKUjJWFS1JBJSAxEwxyuHGgdhOw0XwObXtj8n+Nb6RE35DZOdJuq8hKRlLbNwuwQjEkKj9ERtiAhGYUghkLv+y9KdADEu+omEK0pas+Tr\/n4jh3xz+WfjGTNR40u5+7H9+Cw4IWPa1Abiv2+X1BcA9gAxDxvLyJ1ewzQ9cjSZkFj3E1ZWMDPs+fOf4yS7f54To8EDid5qW99gjVmYoh\/t\/ffjH+w9H7OS3VwlgzbEuEn5VDeiZrFZqIhZlCXfCIYv810VWzkzaku88zKkR+qP4bxzv8PEHew0ZK7+tF4qUzIc2Ch7XwMmX94kPxdCe8I0ITCoC8f2KjOKnnlzOz0RIKPA7L9zf7R3kFoGkWR\/6n9\/mJ6TiLyUbljxKf+44vEF59iFBsXzve2LvumobpeRoKuGZlvdQ+KeOQ5d7T\/\/z8dOw6eE6rlRdmoe7HikamJ6yCOgT58ll\/9YlT2x\/sviuDIPIrCEt4+6Ht\/1\/Evx5reHwv7oQy7024e4KH1nmEuG52dBHZ6O\/98trxMZfLN76vx7OnWcQSlIz8h79rq7VPXN5nmAZieUrKzKF9vQjo2jbs9\/Os5jCNAkxpOc+vOUxwe+hVSLvhCpHmmEKEbhxEUhbsvHZJ4usGfyOJcXBkDY\/9+H\/tbWY3e6kGWPzVqIy5e0PbOSefbLYmi6xP6bsVeX\/o\/iLCsNB+6MACmZNQwQyvmKPaH9q7pLwt+iUh2Je8S3h9kng9JvvDIQfHY+qPDf\/ScnP8bBCAzgtDz39\/W0PhY9KWO4oorTcx7Z9d9Ud7OACyBhM2UVPP6zNPFTTF9JsT2x7YlX2HNEUGGLsZMaiPw07USmWL3E\/5k\/5z4jQPizWiNsC1ACNXKlhmZO96onvbyuKAE\/baL8txd\/5Gj12IWTY+9oPfy756oF2OyxFBMYZgbT4fsWt2Q\/9L8d3wfcQHkenHBnmZC9fv83xxPK5KfSS9J\/uoL9PTEi0FRL\/a4Yo\/xumhlFKmibjKCrKKNq6bW3u3LBVMKTnPbZxhXBCGlU16hJ3PVGA4OWURIAr4rizlvH1Z93s9ezX+ZIW1WNG8f9mxVHRxvC9mluzV23c9sLfuF+ocjiqXnC\/4Nz2aF5GWC3DtJY8ITR\/ItwsXMI\/0\/Ke\/BteY+sK9vglz6Zx5kMOXvLX31mUQpS4FTl8VtweUHPwv19w\/zVj6a+3PXz3om8Ko+B1FJrQvj7nv8oON3P4v+3SPPE91\/7wVgcdoOM5Bx3v9x7LC9+HieVKo7JIEBOIwPgjMHE9xGpBVN9iBa7Q4Vi0CWnZf\/7Etr92gw1xPOd8AT7+12N5Ek+dUVPRXCLmh6nST0o5XqeMqm77Q2xhSyYaQEKWbKSdwVv8qcV49oeIXMmsrqb9SYN9yvdecP\/NC2B\/KDqOJ4vD+7dYanPVjRUbMEaIwHRAwLxqK+gVD8wBkDIdK\/aZ3xKcBfcW\/syCsuMB6kl\/Bp47LX9NDc62R5cL34KVdsDTSirPSwgRzQ73K8LZ8GlaVPyUE2yYg\/oMjif\/PDMvykookY21JGBdwhaHWjMgDMFkLX7yuRcoceqKvOCMsZMRHP7miSXckZyzQkRy65+Fj0uAFoFbO3mPSQ3Lc3DyGqkQCzJrFA2s5evb+Cy5\/2bbN8N\/rcNqYoQITC4CafH9ihTTIvA9nHx5hQ\/3C889+ZBNso+RbkPko0n7ypOC5G+lj2jF6ktEGbdwoxRuPwqaSpbHkPGVx54Fq+BwwABe+N7DudZvClu7\/13MtnYqxkrT65ir6kgoUFOvHB4yfiICySKQkmzDyWlH\/5T31uiDkMlhRew11WRKhKX+X7zTy24rGYR\/2xUJSRKGNNMcU+SJGEmJQjKhygrtMStRBLD+9EeAao3kZs30HdB42J8UA9gfvehQJHUbq+mLM3KOCCSFAHVaIo+kJUVCuxEooOSpUu26CZcCcf2uSFzqCRmWuNSwAiIw1RCg+hJv5aRaEK\/OVBuXnB8D\/V0TeZbmFe56NOHBwqmCwDQ7EJkqsCXNx0jPrz3sl0FI5N92kyY2UQ2xH0QAEZgRCKD9mRHTiINABBABRAARQASmAQLodUyDSUIWKQJ4IEJRkL\/H8erKyeNn+e\/AW5bLfj5kHPtE0ogAIoAIUATQ\/lAU8I0IIAKIACKACCAC448Aeh3jjzH2MDYIpBAyNoSQig4ErvQH5ubenQth1deX6\/otIh1EsQoigAggAjoQQPujAySsggggAogAIoAIIAJjgAB6HWMA4viRQMpSBPAJESka452eu+Rbjz32KA3F1rTx7gzpIwKIACIgQQDtjwQMTCICiAAigAggAojAOCIwtbyOcRwokp7+COCByPSfQxwBIoAIIAKIACKACCACiAAigAggAgwBjBABREA\/Anggoh8rrIkIIAKIACKACCACiAAigAggAlMLAeQGEUAEEIGkEcADkaShw4aIACKACCACiAAigAggAojARCOA\/SECiAAigAiMFQJ4IDJWSCIdRAARQAQQAUQAEUAEEIGxRwApIgKIACKACCAC44QAHoiME7BIFhFABBABRAARQAQQgWQQwDaIACKACCACiAAiMDEI4IHIxOCMvSACiAAigAggAoiAMgKYiwggAogAIoAIIAKIwKQggAcikwI7dooIIAKIACJw4yKAI0cEEAEL8wGAAAAQAElEQVREABFABBABRAARmAoI4IHIVJgF5AERQAQQgZmMAI4NEUAEEAFEABFABBABRAARmIII4IHIFJwUZAkRQASmNwLIPSKACCACiAAigAggAogAIoAITH0E8EBk6s8RcogITHUEkD9EABFABBABRAARQAQQAUQAEUAEph0CeCAy7aYMGZ58BJADRAARQAQQAUQAEUAEEAFEABFABBCB6Y4AHohM9xmcCP6xD0QAEUAEEAFEABFABBABRAARQAQQAURghiGAByIKE4pZiAAigAggAogAIoAIIAKIACKACCACiAAiMLMRoAciM3uEODpEABFABBABRAARQAQQAUQAEUAEEAFEABGgCOBbggAeiEjAwCQigAggAogAIoAIIAKIACKACCACiMBMQgDHggioI4AHIurYYAkigAggAogAIoAIIAKIACKACCAC0wsB5BYRQAR0I4AHIrqhwoqIACKACCACiAAigAggAogAIjDVEEB+EAFEABFIFgE8EEkWOWyHCCACiAAigAggAogAIoAITDwC2CMigAggAojAGCGAByJjBCSSQQQQAUQAEUAEEAFEABEYDwSQJiKACCACiAAiMD4I4IHI+OCKVBEBRAARQAQQAUQAEUgOAWyFCCACiAAigAggAhOCAB6ITAjM2AkigAggAogAIoAIqCGA+YgAIoAIIAKIACKACEwGAnggMhmoY5+IACKACCACNzICOHZEABFABBABRAARQAQQgSmAAB6ITIFJQBYQAUQAEZjZCODoEAFEABFABBABRAARQAQQgamHAB6ITL05QY4QAURguiOA\/CMCiAAigAggAogAIoAIIAKIwJRHAA9EEpuiUCix+lOwdsJDGAkFAtN\/2FNwJmYSSziWRBFIWA8T7WDc6ycxAmpKRsadMewAEbiBEEhCD6caOokPIXQ1EESvZKrNI\/IzrREIJa6HMF7cIAAIExySmyl1JpOaeHVy07Zkwg9ErgUCQ9N1Iet\/0+2srm8bmvTZHmzb664\/NZgEH\/0JDsF3qr7G6XS\/fDKZzpLgbwKanDvqdh\/tHmVHo2vefcTt3ts2cyAdHRpJtp7OloRcOOZ2OuvfDSQ59rFrNniqPjlRTNSSkItt9S6H010\/g0xJNzUl58ZuMpKgRK1ZPZqSJJCLNAkFA0OB0DQ9p7sw7S1JwsbwqvfoTqfT5W6aXNWLCNDoU4NJe3Sj71ugMNhWD47RzIFUGNbEfoSCQ4HAtYntc6x6C3oaqp0\/ONKXED3cIABcg8k6UdBWPah7F\/pniroHapudCP1+vbvCwck3U+p4jUnJBB+IBD0H3e4dPzhyPlHmOw84HAc+SLRVuP6lllpHbcul8GWynxl3F9jvtWWZkm0\/du2GPwsEhpMhl9gQRjpPHO\/PKK50bStKT6a3KdkGblIHJvmJl9DngcBnCvPX+YrD8UrnlERtqjGVtCUhowJ5jCwJSbcVLLVPDVOiLIpx5zsxS0JI54nm\/nmrK2u2F82PS3u6VJgKpiQAr+GYzfzg8VrHzhY8ctUjSf1v17l3uJM4nRwdyKNzacSBTX9LkqgxHGw75rm2ZEO1a8M9IgrTPpG0RzdmIx8ZBkui4BiN1ZI3ZoxOYUIXmut2uN0\/akv0RsfoLMnoXBoRTmO2fVmOfbFFzIifuFE3CNHzBaqj5M\/HB5BorALq3oX+mVKnQUikTL8vp2WmZoShmNgDkSHPex8bDKmh7ve92rICc6XzMZLQ1ZCUlP6GtBXcZJY3p5mEEBCWq4HYg17jlwpK1+ZbpJiNhHTdXIJ7UApLjdgbk03Fc2VKXycSEWqSFD2xlt77ih2CFmKDAwMj5qyFMSdAoaCMp4RHR7mSURA5HuV4afOAdLwiYZqIYptmJftWHTIdmjIDlDflQcdlIgTSqCKocdvOzArjYklks0MxV1RJRUA1JldRVIyZBWtL8xfIaIEmxtocWQ240OgISrnhUhEVoC8bIauvP4pqHmtJiLo5JWRwYJCYs6wmqfGEvkdCQSnIcUcHPru0PqHqpjIoWqSsidBv\/ECbq1AGlOUGMD419RqK4sGqa0hg1Fyw6voimCPNlUgflZlUy9t+JmBINfg6z\/i1hwXQqWhWdLuohUZ9iqMbwrWGCigWKVoSfeuFthRR8VMZLy2SqSHwnUiIQjJ2CFEV5LR9l\/zktiyrQZ4LSinnNtHRQX0V80tNwSgsCaFwyXmLsB5lACMFSaTU+VTHk\/KW3FQCTbQk8lnytnsCqQbDp\/FMiX6DECUe+htSxtTlQdGSELPtwbLVi4y0afhNxUNNdKHO4FhsECgzcqcdhqn2NQKQOg1+gCXtENuXpH7oquqCL6mlmVSnT5FMTtGoZQsEZKNWmSkt+lQY1Ian4MvRgahVZwjAROhRf5hKPdUYyakQMf90ohjx\/6bTZ7KXPZAV6un0xtzU4lwEe47WOh1Ot7sG4j3H+q4SQk+emuAExfuaA17sORF2rvY2ewb7JeERbP+ZRrFhzd6WvtMHHPypkA8OOF5s9RN\/64vQWnhOJNjX0uB2OqrdbhfEdY0SXwiK6KPdLre72uHc2eg511zrCD+cAqQcB4Q7+CN+z6FaZ5UTbi7RuKGFssrHII2v9rXsrXE4a9zQnbO28Ux3805H+CkAySjcvLujXhgvbx6hX+Osqqk\/3tf+iiP6pp+\/dbfD0dAR5C1oHPQ0VDmbemiSPsxW5azZ4absvdLu54BLhqAANW0Xfl9qqRVxYzcb2bHo0dYjtU5njfC0akKjY7Ppf++AG9rvgPl11h7pDnCuoE8gBVNC8YTxOusOeRjDgy07HbXHxTud3qZqGHB7EOrTQEt3n2R+bKi\/VWjOxiuZDgW2aVv6Dn5woMZR0\/Aeo0Az+LsTRIeJGb\/kEihIDhnxtUUm1H1AbEvnqw6gFgCXMEBoERcVGBqdSoWHQwgdC524niYQ07CEkEDX0TqQQ5DGGEENM3cjfiZpSRRAprDXvt7KnsFu6mZYqloA0B1RIxxheVCWW0YIiiKioqT74UfeRNtFbY4bRCcs4IyMEMVIkcQgSEfBbJqrvu2i0A4+RPpgVGW2EcqE4G\/d5XDs80g6Dnr2OZyvgd0lyoYC0BCNIXuIPWxOdx\/rk5Ch9IG9utbLxP\/LuohNdhxoZl\/H29XKtFtrdJ1UH7m1d7spRNqWhJJS0ET5k0GBtj0Oh\/tYP2WPvqGUD5aMBLqPCM0BLmddo+cyrQBvDUtCrnZSU7KvnVktqCsEICvqMssCKByCQVOzJITAfAlaD7ovlwcoki1znzOq8gg6rfuln1xuBbjFJSN0gRpIOkd0JXI3HI+eJDmNG+aqp7P7Wtbq9XbTxe5Ov8qolcQ7FmQF8VCzALC2OqJcGkKgsrCEwTLhDK+AjCUq0rIVRKL7TDvCliRiuzTXi2gpEp0lZiHD9lDBkkTog2RGeUeMU4i8rzkdOyKaBTn9b7odu8AHgzF6wdJSIaTsiYZCMgQlqIGCGAB2cZVkazRry41DXFcwZnRO94H2yyTYd2w3DIfZlpq9rf2hcG8UdsEUwMruBsPM3TMwfVUHOsOuS+AUeGHuY5+EW0FpdRP3b1WXb6gTZQDDrcHBaAG9rWOur5gJJ8rHo5\/5AihE2+IDWxrr7BEYmm5H97I4bEmvwGfMkoeWRAKQJDni7TwXyvpGmX2Or\/usiilRsvkwj9HmGmCPEg8wDsq+BF1QRI0Q5EFNboFZWqRmSSgpYW1iklPvcjg1PE8wYqJsJLFBkIyR7qGczt1v9gVH\/O2vuGF\/4N5R43TWHu2KPGoDlgesY9h01IW3bDKeCUlig8AovC7zAAEnHhQ3CArzRWt\/1g07oyq2H3TW1J\/y0Tz2Bs4FJMHISG0mABi7CrAmkcjHNrlsFpw7xe0h4\/n4IK+mSp8XEyIaB4rpEW+Uc0YIIWwuYja2sAzR3YpkrWEUr3YLNhwcCdHPBAqiMDiYb6wk6qz9lI4m8kDE39ntM+XarHfbskKdbWcU5oUEPQcPetIKK6pdLlflhiXB9v3HvGR+0XbXOish1kcgN\/KcpPfdNtOq8oonV6aD9n5wYNeRXtN9G7ZDy+qq8rv7D75FXXkCr3s2uLYWmom5cCs0Zw9sX2x5aV976MtllTUuV031Mw9k9L++q7GL8UOLWv13lD7jpEUVD5jaXmtTsm3BzoO7jl6wlDBOq7eX5QRaG34cU3PE17K3ofXfsku3AFuu6q0lplNNUZW8HV7bf2Ol2zfYUzwHBCKM\/semgsfZgJ4rt3168Fjs94zM+cvuJH0fnGWsw1BJoOO9PpM9fxEhF44deNtvXV8JY66uKErvO9YILjKtEn4rQh0upJ8Au4ib+JWZy55TA9a1T1euW0zoyp3A6EqzL7c37KltOG0upaBVb3\/cbni\/8cC7DF0GVPv1pWWUX1f10yUZF47uOtQdJOlLcs3+j72CXTwPzishvz3PvQ0y5D1\/2bxwsRm8hZZd9S2BnLJtDMktJZmXWxv2tvjCLguRsk3HRt9g7P7uNa\/pa+Xly4ACzdHz7n\/rQPO\/WRmf1RX3p\/e+0cgcPTZfFzJKtjIGtpctvd4ODDCLxYriTiVJL9rmWgcTt2gdTJnrcRswE+xqrDvUZSp+pgqoVm\/fsDyt98iuAx+Isw1VbsyQrCVRAhkQ9HecGli49pln1+XAxUUwDioWINaSqMqtLu2A3iCAHO56vd\/yINUKF5iSxYHWfQ1RVgIsHDU4mlLkP3PW8AAj4nymxDLQ\/CPBKaf01WwjdC8EMCVZ5OPOiCmhz+CY7F+1KttkoRX\/CHpeO+AxrqR911RusA23v\/KGoKG8nMJeUTiPmL9W4XIxC0zzvW2nTUVPVGwupPY77ugkdrJUy5IQpm5KmmizWUmfV1gVhjo7PyUk4PUK36P0evtI9l2wyAS7D9U1dptWPyXoXIGx9+ieA518IwRsK1kSehry901eU2H5xnyz7hVVxZIQOl+v92fwqQR5+HKofd9L\/PuetCj+VBLb466Kr5nJvEKA28VN96WWXXtbAovLtjvpuvbMg5mDpxpeOh5x2mBkN2bwdnaH7rQtWWjLmeNrf1c8H5OCoSzeCiBDI6l4MOPQqrj6w9oa5dKwykorIBBlIq2p+1CJBmq72kneBsGxKTbBetEU4zbElSI1S0IofRXbSLsX3tav2k1D3Z3iAQHxtp8JZC3LN4MpeU3bUChDLdBlHwC7uEqKX5nR6woyCpLRbc43eo811O46NLB0EyyxruotJZZLLfuPciPBYFeyJAScWNLr\/ZiRI4HOD0GPwJSw1R72ZN5ekmW1ppB4y7fUAHJSbNV4cXdrwLpuU0nW7HBm3E81Z4\/O1+gc3XtinGe0JGrTAd5pKMtms9oWm3wdbYqmRNHmg0hHm2vahTeyPjLjoGxJ6Noa5Teqyy1fHMfKkoARG+0Gwev52FZeBQ5v9fY12VdON+za2dA+p5Q6EuDuLjWAXyE4QqqSnMQGgap51AZB5gFS3x+XHAAAEABJREFU8Okb7KTiBkF5vi57zhrYdpDuKC0DbzcIhpdyrmIzAcCoVYB2K3tL3J4Nku2hpI4GfaGWBOTHYc91oOEU23MJpVEfTHg0JURiPyV+ZoyhUBT1qM6m4GXKxPF0oa39oinHlkmMdvtC0tfFTyDk\/f8hGBwxmNPN9HFIk3X1+rKSu01q+z\/Lqs1ly7PSTVB38NQJb+iedZuLrbSlwWhZXr4xzyQnHbnqPNE6eEfRxmL2\/HaKwZJXVpob6v6VB3bdtGh+0eZH7ZZUQlIM5kUlTz2QFWkppi6daumZZf92mT0deicGs7VkfandHPBF\/d5q14nWQUvRk2X2BazaPGvJptVR5CwFa\/N5KRBZZSWfeukJHqUfsv3F5qJFbECzLfkbN+YrDMhoX24z9J1pFyTcf6bTZ16Snwl8Dg8PE5M53QRJQ3rB2sdLl30JkpKQCNSRZqk2WKptt5mMMKDERmdfV5xF\/CFraQmfJMB2da7B92E3wE4oqayi7xZZKb\/EsMBetsYWOtfqGSLpd1lNn3rhaAR46O\/pS1tWlH9r2Bf5uM83z7ZkPiE9J9sA540l1nnAFmv+ZJFlsPVEFzRiQco2y7gOduSf4DTkmYpiC8vQG1FcZ5szboX6hvQVazeuXUbRpvM1K\/+RiDwUPbLCMth2EpxRWqRnKoFgVPC3t3aDVJcvt1C0QciKN6+7J+Q9kdSv6UbRntaXY21JDGA6HrRZ5lCY9VoADqC63DKRjqP7jAa1XbOWrivLC5uSNY+W3msOfErVglVgkQ4pMuSuLmHmgqRa8h\/INwf7zl+AtpQ+SFFc22hcWmBL7TtzOmxKftPpm7c0\/3ZC4huK68FhIljtFJP1G2VlD+aYtJ7eBK4gUHDys9JNYGl1jE5iJzUtCSWlookLF2eF+s6zfVqwx+vLKirK8p8\/z3C+2NcfstpyCQGdOwfaWp5\/mxFMCehc0aZ1thFvi\/izpTGWhFz3teylpyHPbC2yJLKcKlsSQudrVl5ZRB6K162YP9j2K9ik0SI9UwngRgVva9vg\/KKNa6xmQJsteZtXWYCceJc7qv6Nchn0tHWFsnJzjSQzf4k5cK5TaRuTiHhLxYMaB0uR5uofwZlWVl4BCRVpkMnN8ZwBQm3XbRLHZvmj61ZmhwajxgTTHsdZUrEkjP58Hd7R7QX5CwKedpBYNr4eOHOy2pcaCYmLZNwKjGBMlJArKBld5urSfNOQ33z\/o4IPtiB\/bYEleK6Tsk5hV7EkKVZqSnoYsMFu76dZRcVZ4ds2vr5PwJTA\/QwwJdrLN5WN\/CxmAIURBToPNtDTkO9tsOk\/DYG21JQoOHtUHkbp6AJxeUBLIsdDvAp6TneGsmzUlOQtNcOBIF18xVIhQScq1nsUCqM+JOJBjQO9tPOdgtI+ItI4Wm6tSfiiVHLiW5JIn5FUYgbQsuJb+XSrRQzmvHVFbH+wFhYpvvQ+uNpm8HWyh0QoPyqSPCYbBKkHyMeS8AYh1bb6QbazgeV1+Zr8ecE+Zh8o5\/N12Ezea0wscXusJeL2UFJNB30JyItKVi4kvvN0iymhIUlS4Ymz1kjsp9TPlBBhyUREnTWYGlEiHtzoOO7v7A5wD5sQW57NIL0bKVKeY79\/SVr3oRr3nsaWM33D6Tn2xRZYSMVyacI0zxy+9F28zO\/vhTMIybxDbaM7ODBIDIHuI4caG8OBPl5+sb+f0CLzwhyRLpAz3pEpvYQcGi5d9BNLlvRsY769dP3qnDm0UHwP\/n6AzJOTm50dRc4UGQUh8xeYiT8wRAiln21dJFKC05nMzAWSSzG5KN8u3tqiG0WLPQ\/uuBJyZ0HR7VdaX3TWNRxr7fGZ7rDbs+TjSARqsTdiMs8Ni0yiozNmWszEsgC2WGFyc80mEhyGAy9KKjXQfTQyI42n4a6Lr\/8CIbfbckx95+FkgQx6Px7OWlS4MJtwW+Pt6zUttMJoB\/v7Q1E4m3MWziMDvxdu2kjZZp1\/0vyjVpJX\/lSCpyHQ1lpQlOlvraupa3iz1XvRlLWU4Urni\/h+LeH\/bW+AhHz9gwlMJVCXhf7+i9FSbb0rm1y+CNDIKt5gF2NvScxzwxDqtgCsgYbc0qIomZwdrfuMBrVdclOSbl9btjqXHQ2yGjS6BAYnjkEA1aQ1+Xt+RgYJ+MGSEEqfPfvAC2isbBtTrPlLxVtb\/W0dPsu9dlAuEt9QmOyrbGnnGmvcuxuPe\/qGM3KW5qhabdo\/f5vMokHSMzqJndSwJEzdVDTRmJtzh3Aj13u+z7Jw6dKFFt95etYa+LjPn7UYbuqSC\/0+EoWz1ZpF\/JfCOgcohw0gH8YnbzW0kvzyTYmdhkBbZUvC5ov42sS1qfFQs\/cqCX0KpkT3VAJ1WRjs\/zQUta6ZFy80jwzAUiireINdBD\/s7CNWtlcn6Xl2C2xj2HmZHIZExFsiHrotAO2NVlZbAXVoByXBvZesbIm\/ZLTeX1Z2Hz2xZxV4FF+KYBC8Ko0jlkS\/bTTnL8sKdbV5YGkndKNIcpfZqNbERTJuBcpR7NsUMQ4Jju72BRZitmRGMDPPM5FrQco4hV3FkhBj7uKswMde6l6cP993m3XpEquF37YZ6usbylq8EHiMu3xLDCBUJyTw3sGm31pKnk7wNATaKjt7dL5G6+gCcVmY+pZExu7EXQS7qClZaqeSNN9uXxDofr8\/tncVmx9bEXIi4kGNgy5fAlrxvYOK3FKRjlrdFLcVVHLM8S0J6y4qAttBNZ3m6mA7MkZCjJm3mcmCBRFrlUL3B8NsfwDrlIokj80GAbimHEfeiW8QgER44ISkZ6STwBDcW2JIyreAyjvKSNeylMSySbaHkSp66EtBJpb5ZjIUYHeBIlQiKR0SAgON1I+sDpE8nkpE1HmLKRFH5nCc2emHoz6jmXxyxuOBEJhlJpG7kZKujda\/qKzevvH+O9P6T+2vra5p1P8FgesSMvGSaebshZKXbUVJ6SOF2bzVSCKEeBONeCSUNLnr4jc+NOiTzII8C7+11f9+d+DOZfl8m5FiKXiqqvrpsiXz\/d2v1zur61ouRlEZBdQipYRGl2KAdrPUJO6WubIpuaegZG1ZIT1yyrQtNvV6vcTffT6QY7uTWO\/OGaa+SP\/53rScuyP2E4gnFALqZkGLzoKCzY7qZx5ZknG5++hLTueL4hdzTBkSiVq4cOn9a0vX3Et3lEBN31RCRQxxERh\/S5KQBVCVW0IS0o6444YbrLoMghIhfTYo8758uieEU8hP4PQ6a9lybkriGwrjonWVzu0bixamXWjbv9NZc7CT7iiUGNHIS0BHtC0JUdNE45JcdiN3xOvts+Tkmky5OZbfnveOBLvP+7IWw709De40iz5PypSoWhJi+qLclPx5aemD7HAKuNA3lVARQzwEgmc\/6CPppuvvM5+k77rRKHmuQdI4efFOyAJoWJLR6L5kIJFk0lKkzzbSx80MfZ0fBknwbOfH7Jt3rO+4SMatwMjEi\/SPLmUW0DKo+SSqloQYbTlZl897h4j3o17LXTmmOTk5C+htm2CP13dHTvKmJKTwW\/7AoXpgJerO3sQ5uoyRGzYKdnb2jaSb\/sAsyZne67caA++3e2PXa3WbHwe6hCyJutxCLwmss1B7lCERtunWgOmjYp\/qkjzFNgix3OuzmbHt9OaMNf2xkZCkRV3vsMelnupSMMa99bR7AgZy6cyJlhM0\/MIbSCW+2F8x8\/d5zvQF5mTZi0vLK6o3L0vr1vUFAXrM2XtO5oXDQqUyhPTM2wyBkDF3qd0eDtlzCDHMMhBa5D\/XTQ\/+w439587DQV\/4KvxJH+Xw9fWFL+HzkufooWb29Q+4EEJ6ZqbB3919SbikH7CrD\/9EH71Ue9+eaSG956RfKqJOvHJt8\/JlWeDIdXW3vz9sW86OqAkJXuz2dPlCC6yFD254prKq9I7B1hOdsvb+5KCO0Eh+dBEaQoqS+vy68a7IjNjvmMunBGpkLsoivec7u7p97Ku5ZKE129959gM4I8mxse8B0eaXz3dL54nibMjMFM4jgIg8fGn1fy809TS99HZ\/SF7ArtLTzWTAF74nDFl+fwBiGoK+c57uiyHLosKSjRTXzEut9Is5dL4Chj+W8H+XJY3MMsAREC3SO5W0h8ibSfVH9OldMY9K9YLMTPH6BkyMryXRbQEY8lTwVOSWFunSfcuCecQnMyWDniONzefCEsc6IqOUIp22Ee7s3hnw\/Lq7u90znFsgmBJ\/XEPh7zvj6RsyZy0tolZ7U37auZZTUqPHh6ARJz+6GKKUlIomEmJcxG7kdnV2m9hdG3POQrO38\/2u87\/NyrHRe3scZ2+PhCwzvJY\/UdW5Lz1QXnhrd9PeZlVTckliSkauhE2JiiUhVOsDKRni2mRfmmu5hcyC1YkV6V7mJEPg61qUgYR1LVXdQEpbz9S0v\/1MHzEEvNQhoW7JmUFiCPXE\/ty7Pznx1m0BKL60sool4TKpwxmgtyX9fb2Ss8ig90RjE33WknYRflMBS16K9HhH0BN73Kzvvfa+02f6FuQX3A5ZEOIiGbcCENEOSY8uhqymJSHGHOttPm9PZ2ePaeFiODjmpsTTdb4vK3cJMyWMk0SWb9OyR9fdGWj90QH65e0YdtLnZZDLFz+J7LH9fvoAIK2n4uzRtWy0ji4lL31Tmn60JFJIaNrf3tFHUgPeX7DdTcuJM5eI4Vp353laJnmr2XxJFaUkNQ66fAnWWENuaZEeX1SnJWHdqUeJsa1Oh7D1S0WSabMJ3yDQTvW9mb7otJn6KMprjTV9vRIi50LhKklRV6A0sVkpE9Odt7M7dFtRRWXkVfXdfNNFj+eSvP8U35nXG\/Yf76d\/chby+y4HiDGNrS4GOMUP\/N4XGAoo\/ReQOb8wx9Dzxv7jXj9scEN+7\/H6pi5IhYmnEAMJDfoGoTlQthYWpP+2+aU3WeWRkO90w659zedDJgMhtMjf2nDQ47tGb\/D6OhrrWyUbYxJ+zV+xevF1z8GG9ou0F+jw2KGjHr\/JIn\/OnSxaWZDub93f6OHVLnoaXz7p0wM5DGixwfuz\/S09woBa9jZ10q7CDEg\/6W+yhDr\/qakzzU5\/TpUVGT8\/33yooamDNifXfBf9xGBkQLJSGqlCTQt1vZMeXSx1IDWvr\/lHx9iUkNDF9oY9Dc09Ifr7AlB5oS3nD93Np31Wmw2uCP0Gr\/\/M22cC2QuFbQo0T\/e1vCzFucWXXrByEa2u+J61oOipJ\/LJu\/W7FH5Z0JKzyOR\/t+kYB\/9yZ9MbIvbGYE9z4z82eRiuoU\/DuNL5ut7+6oF2PtF+77G9uxtPDaTBQRst0juVIORkaMA3FAjQP9mCljmGD5rqpVL9gSGnUHgGSHFcMz5z1JaEyEGOBiyOBUiRWRICgqcmt1CkS\/fTVxTnXO842HDaB6aJgCl54+DR9\/2mBXJTArKg3yAQ6QtaatpGaV1itC+1hrqamrrS6M+p8qL4hsLg6zja8EpzP9hMGOF6VzMAABAASURBVIAPtvxp3GpzAvFj4DHJ0cXQpqRUNBHqzrHZbutrfbvPlLuEnZWmWxeaen9xoneBNYdbR9rc0PlP9TLDm5JTKDwsAyRiwixL0abyfNJWv6sl8ivO4VqWHKvJ39b0BjNs1\/ydh492UpSgWMWSEOAA5GH\/gYg8vLT7tbYBI8gDLdJa5oCqGFIM5Bpd8QLsT++oVF9qqZeua+\/40u9badWzGIk0Z1bCf7bbl2orc0R8ksr\/vTrrWud7XVHjVBdvOchRzahx0LIAcpcGzIWCJWErIEy7Pu2wFRemf3rsJS5s1LE52HSyl8yL+u4wkNNvEGRjolKkxztijTLzlpovntzf6ssKP7RKiDqSrImOCkI99Y\/kRxdNEygtVrckxGS729L3y+Y+k43+ihls2u6ymvpOnOizWBeJpiTR5dtke3RLyZ98crTuQOfVaHZIzuKsFG\/z\/nbqmoaCfSebToWf+VVz9uh8jdLRBS5SZEsepYmWhMhf\/s7uiwbb+iq5KQl1dsjvQRI1m0\/IqCyJ3KXRkFtapMsX1WdJ5CDEXoFN0zKAsQ1Uc6jUqUgybTPRG4R480V5Et6Ucy2bKV8FhEYJfMSjnwApWlW3hNDKUe8UqaFQF3UypV8pE8HdCDgZoayldvDpIt19yZYzx3+mQ\/5FuzkFGx+1k\/fqnVUOh7O2+bK19JEC1iqnsDgr8O5u9w5307kIDTFlzC3bsjZ7+PSBWic0rDt6wbpxjVUsJekrVi81eo\/UuXfU0z\/pnV+0ZdNKU1cjrVzl3H08kL12Sxl\/zHE+7JML0y\/Qv2FzVDnrT6WVPFoA5\/8RUkLKmLN+S+mdgeY90B9w2thtKtq8KbZmOvjKhfP6j+1i1fa2pT1QFltJICn74PSH2w5SHp11R\/utG0sXympIL+hvsoRClrwC4YAAyu4sLf+Gxfcmbe6orj\/7hcKN35QAAhVUoYYynSHp0cXSTy\/asnnlrd1sShzOPc2BO0u3rBc2KXBOZVs0HBjKWiggwL7BOzScYxNHRJsXiTjvOTZwe2nFliK254ntS8gxZpU89RfWwC8b6k9Fn3llPrC5dHHI8wpFz7nr5Kw8uygDWd8qX23xHaMlDuePzpq+tnEN5Qrmq6LsrisSeSgs38QZgCIQlfBU7mzqU5\/KnFWrsz5r273D7T5M\/wEWpLpifW5Yqmsbf2PI31ghCKowiBvsYwwsCYkCORrB+XIL8K7cAkRZEpKuLrdy7XipVU33YZbBdgWO7+ZGr\/GcqWjT5hgrIZeieAZBOihOPyxFddG2UVoV0rnLbIZQaL54U5eQ+IbCVLBhg52011c7wPjWvjVgXVtWAEeBQE1vSH50MT0AKTVNhLqmnLssgSFipT89BJck8+6ctKFAxt02tspADmueE9bW2sYzs\/I3VJTlGKFIPczOKtm0zhpobdjbFn0mcnvJ5rU5oTNsYaqpO3lzvn2eQCdL2ZIQmK+KR3KvSOSh8ImniubTVlAEohKeytqm31o3Spc5WkV4p391td3obapzu1+mKx6hS16RuK7tfmsgc03Flvu1DaRAagI\/JrKrQc\/7PtO9+eISQvs2LrHdSbxnPJKHLCBbVbyjQYa6siC3ANGrf06hzKXRsCQgk\/pWkPnUdpnOsVWUOTa56yvW0eVJxpZciuIZBGlTRl+Uovoo2yitCen5dvuCUCjFVkB\/ThWuIagiCWUsxK3AamlGyY8umizArmFJCP3C3VCA3Bk2Jbfbcm4JBNJttrDpA04q1ie4fKeY8zeWF5q8TbuavFFnIkb7o08UZviYa+r8QVNfjl2cWTVnj2r9KB1dOOmJdZ7RkshkZbDD4zPZ88XpoIXGJfdkkfOeKFOiZvNHZ0miXBoNuYWisbQkdKBab20DqNUyukxDkmlV6wRvEOLNF+VJeMexmVGrgNAogY8o+qfk\/moChHhV3RLCq0tjuW+sJurSFlMwPSEHIim2DTWu8mVG+fgzS551VT4Y2cLzUuOi0gqny+WsrHS6qreVie6jZUV5Jf1nNP63u7YNLp7gjWhsXloGDasdldU11ZXlhZl5UEX8i0ejdW1FdY3LFf7TR8PthZRcdVWlo9rlrChbKm54iTGriBY5K6uqgYHSnDkGQszp3HW8B2huYE8pwBmh2b4eaFZXPUsr0h6hImVE\/p7NyAFLrKPSXOvqbS4X+1NVQmJGMb9oe5hDkhKmD8OGAa3MtD\/uEv5DEbZh21zbizlPtLsg3AdMyQp\/55\/mwJsjBoAAf1WbioR\/cZMMQQ1qaCsEKT+wMhZvDzMglJOERxdGjxFIlxI0ZApTAnjWVFest5slsml9BOa+PN\/ImhFiXFbuclXLXL2Y5ukGobKsF8iTInDPhipX1eYVUffQ+ORuh\/mv4rO2slQyL5YCKh9s3muqNhdnCUylmHKYjFVXVjIJDAMOPUqnEprIphKKJWEBow1yKkgIeF0SdagsL1oY3rhJGt1AybGwJEQGMv23Y6kqAZgyC1BRmrNw9faItYm2JCRG8CJyK9WO6u2luXNBJMOmRKb7ou0CVQVdL7wdKgIj8iCVIqgkk6LYUSjTZ5Ips43R2nENTAnJitzUpTwoGwqJHpHZ1tKKahdYOWqstkvNKW1P33IOpW1pKdc4Zk4phcpy2ehkY6HVqV1StyQamkiIeeUzLldlyZcoGfr+Ukmly\/XMColaxTTnf30FlaOxkhrw2TZqSp4qiP2jGZhcakocVQB+xdrCUtF0p6hYEhKj9WEbAzwAtfAy56raJJtKKI0EPiNgSbbxY1kSveTxfzWKNLjRUlQgK9dEuR9G+xMu1xPCd8UiiHAwY8Wb54dBjhEPork+Er5AQ+sN97CuNCyJVPfZCjILWswzMw9Aph2i7QL3CRyb0lyJYEOTcJBIEZgSqRRRWOT2UJk+tVRy2xgz\/EDgKjEtzZc9hcQRi0ZS0oVyhTDf7NMGjlB4fVRwokDHVV1BxdGJXiKjLjVNMaZAcKJYRWIupKYkIkKZ1JQ8zW\/g8Roxiiwu39JeaF0JYymWogqX69l11tm0QPqGyd3sAN+YWpLK8oLVG0VPUpClaGePxGi9hqMrW+Zk3cZxnm90S0Ko5FeWRJuSvHJXTXm0KUlRsflc7MEWcHMdLR5E25LIXRpYTBPwRWfBVAuWRCKEJLIP0rIkdCGOqA\/FgfMPNHmQukDOCtn2J2aMtHlEr6G9jJ\/o9UsiyVB1FBsEWS9AikgYM6ptEOTzRTmXD1xqo0Bt6Y6B7yjlNhO6i14FIEsIEqvIcyJoy3iW0d+mvmNlRCSsSuhLhizbeEavNbJ+GT0JESL3jdVEnTWbslHKFOUs1SR8XSJB\/gyzTfSReJ2tDEbTbIO0buj9Rrf7gAfO5lNNRlYS\/G2\/P8WcbpbWkqYNRvZvndIshXSKIaojhTrKWcAi40O5lOcGu7r6DLkF0caXFQIgfCDsSilKFuoIreRHF6ERTunDM1w75nOUzaPoGYxy8ZAUq3ZkMKlJoJ6plPQgTY5+jqTUbqh00tClChZAH1ox8nCtk5qSjiARteNqb7+fmOfNVSMYX1Vpy+SlCOjHtY30fzcMNslNXdql8I6LJIzUpGGsBDKaH8mPLpasQVUTY+sq5IyyeRRFw2w1MxwjOWJLdcD1TKVIRpYAgFVtmqwiXkQjkLR4Q8MEMI+VB1\/LLnfdW\/2EwOQx\/Rqh\/2BimpcRzaF4rS45YhVIJC9FqTps44XO7iFLfvR\/3EC3sGEzgGqylEqUEq+CSjtpdvKjk1JhacpNCkslF+mbDr20U41qZhyGrGxlQHDUJDBVx1QqcqZBU7E+ZkYQiNXxSJlWCvRCbR6VmhlAzWRyO16WRKlzSV6CbEtaxiRHK3XJIh\/DSMIZqckqmmZPie9YNcmRxCVEmx6ZPMDjMKZcLFMX5So3Uq7BttT6H96juxpbe3yBocG+0411b\/alr1iteNYwVYDxt7\/3ceSH3KcKV8gHInAjI5BqW7rwuveNusZfen1DgcG+9sZdx\/rmFa6OPEA+BdEBU9IXfVN3CrKJLCECNxACFvu9Zv+7++vf9PQNBgKfdh7bu7\/9D9bVq6LuSU8tRLy\/9kT+825qsYbcIAI3JgLT0pLcmFOlc9RjvWO90SUED0TkgpdiLf1+Remdfs8\/1bt31O1\/h33XujjmKxXyRpN7NXi2O5BVUCD8kPvk8oK937AI4MCjEbCufa5ijdXf0VS\/w133Sgv\/XZvYr1REN5vE60ud3Z9lFSje1J1ErrBrRODGRsB83+btG1ek9TXvf9Ht3vuGl\/6uzQZbzFcqphBI17o7PzHZ75vSN5KmEFzICiIwIQhMP0syIbBM407Gesd6g0sIHojE6IIh3b72me1V1S6Xq9pRUTblvyGZvvKZyvIC1e\/0xIwPM8YCAaSBCMRFwJCeVyqYEmdVxXq7+Ls2cVtOToX5hWhKJgd57BUR0ETAtLBww9Yq+jto1VXby4vE37XRbDR5hak5657dXir7mcnJYwZ7RgQQgTAC08yShNnGT1UEDGO8Y72RJQQPRFTFDAskCGASEUAEEAFEABFABBABRAARQAQQAUQAEZhRCOCBiOJ0YiYigAggAogAIoAIIAKIACKACCACiAAigAjMZAT4gchMHiGODRFABBABRAARQAQQAUQAEUAEEAFEABFABDgCGIsI4IGICAUmEAFEABFABBABRAARQAQQAUQAEUAEZhoCOB5EQA0BPBBRQwbzEQFEABFABBABRAARQAQQAUQAEZh+CCDHiAAioBMBPBDRCRRWi4NAKBAIjcSpMyOKQ6GQ2jg0itSaYD4iMJ0RCAUDV1X1YToPLIZ3DeXWKIohgxmIACIw2QhMtsaq+xCjQUaZqnLuaPqZ0m2ROUQAERh3BDQsqEbRuLM12g6m64HI4Kl69962wdEOf0zadx91u4+eGxNSU5qIKuYX2+pdDqe7\/uTUmA9NEEPBoUAgHIJ6t3LiFAc9+5zOHxztU+hDo0ihtnLWOSpK3cplmDs+CCDmcXAVhT+qXtB7pNbprHEfng4CCwc3Ya0PDOnWe1E2gp6GaucPjijrvWpRFGDql6qmVb0Jlkw9BNQ0ZeI5HWzb664\/NYr1eCQEq6SCnlA9UsiOGuE4yTPcdAGuhHAtqk\/9l2OxUvPergXgNhBPJhBfOOZ2OuvfDSTQRKiqIGBCCSH9b7qd1fVtQ5AxGJn95PsCOhgQgYQQkAheQu2w8vRCYJzdoUkEY7oeiJDhQOCz4VECN3i81rGzJXGvofOAw3HgA7FzukwH9G6txVajSiTL+ag6VcO880Rz\/7zVlTXbi+aPgv6lllpHbculUVDQ1bS7aYfbHQ41TmftIY8\/\/oMt4hQbs5fm5+QttrC+Ol9xOF7pZEmIZEVwnUwQ+0mmMbZJCoExwXyCpJfIRS6p8SbcSAWgS6eOnQkt2VjtetyWMElJgwka0bkmUevdO6jeN57xS7hQSYpDN2bbl+XYw3ovs\/+yIhU6cbN4UJ\/4AAAQAElEQVTHYjmL2wlWGGcERHEZTT9R3oVeUlF6NPxZIDAa\/yjF1\/pDd8OpaB3xHv6B+5X2+Fv5cZHnwZMvuyNaXO2o2dvSd1UvPpJ6spW6U7aIS2rpSA621rtfTvw2ULqtYKndlmViPSQ03VoClnF3gf1egWpk9qV9TdQixcaF0QQjkJAgjRlvUeoTEbwx6wEJjSUCY7NzlPk8csGTFY0l5xNDa6IPREJXA4EEj\/aTaBKLHawk8e9riM3g4D+p58Apq8oN6YMJOr5RorOayGhMQoPzkVBQjrw6tyQRuAYHBok5y2qSixIlLu9OyistVQZKWoulYUTqp02hq5JZhZtX6jUZLSGyPuLir+rtqzPOH204ITsT0+bNfE9J2TesRoGS7EOhCFhSux0NRfq4lfWBF2EE6DSpC1i4luwziSay9uwiMSIgvXrkXGc1xoBSpGU3ZDoCjUfovV9lW5SQTF666CeWrIUGIBkJlLhEJSMFLEVLdX6xjo5IlZDclOk2VtZ1XO1d1dsfyPAeaZAfv2r2SMy2B8tWL1LW+9giKiQq806LEpRbhh1G44ZAEtqXkKaoMK5HEiJNqe6oKkSkWmwKRqe20ECRipQSkmnLNfk62vqlBEe8nT2hrLx8syRTt\/ZJ2sQk9UNh\/lqFoMTOzUs+a91\/uDMopRYPpRAbr8JKLSUyujQAIndxYwyLMbNgbWn+As1u4gpYTAXjlwpK1+Zb5G4Y0dOXJiNYOBYIxMiAbqJcYmOrg5jpNAfRDoCG1lP1UVmgY+QtliVZDvSiaHYSpSMjKr8AUireNbUnTNPlDdiVGmOsUCWi06fsMhEigxdYUhy1jC6lpjF32jOrUao1arnLJGMn7oWCVCTmDhHAXHE6dMEVl7+xrBBlPseSdBQt\/5nGumqH0+V2Q+xuaOljC1lPk9Oxu1V6H+J8JCfY10K\/i8Gb7Gz0nGuudUgfzWA9xB57f0Bv4Ik37qHfWqfD6XbXONkthdNQSp9EgKPNul\/6yeXWOodDfE4EemxwOx3VbrcL4jqFu4i0uyYvId7XoJmEGR\/72giw6nI6dx71ijcuRvyeQ3XOKmfNDjfEdNxiEWNfiFSq+Y7XOaoPeHiTkf5jOxx1x32Jcc7QaD5VD3dFd7XCzn+wZaej9vXWozuddC5gmK76tosCF\/ChBhcUKQWgVtd6mfh\/CShSVKEOYKgxa5FS6Lo6jDAw+SJIgb\/1RUBVoBO60CrMBcyI091wnEsM9ACdikNoos\/rj\/ja9tY4nDVuVvPAe1J5gvqqwWDOt2UR\/8defssr0HVUEFEpb\/LW4RNWykNTDyE9TcAxf04kXMQaXO1r4SzB7egqZ530ORSxiHJb23imu3mng1NgLTGKgwCIqDBNUkvib93tcNIZEVsPtYk5EamDJmqWhMiPuoHOJdlTS6pElKQXKgvSqy5L0INKtWDnKzWOnc0+\/uzS1faGqpoDH\/wONJcOUCJyRMVuEELlM6zmTEeASccBbgfgLivYotojXmaCgQtCEpVJoPYatYJU+vlDUpSTWiBLn7+oqqk\/3tcOt17F5+8ipVIzSJmMGVGg+4hgMMFiO+saPZcZhxBBp+EhMFNGgj1Ha8O23bnnGL9d7Dt1oOEtydCgYXQwmJfZson\/\/Hmm9yPqPUYaUlZrjw8SKhJR9j9cxCrDhNa72DIXM++RIi0hZFRu1GiCxw0zoqCkmpZEp6bAGi036SpCEiUJCtLFdBO4rHIyzXLKlhIBL0o8Wo+g6Go3rPLUmYGFRr7KKw8cmkhC5n35lqHuzguSrK73OkNZNptwLAh2WNQ++rBG2LOSNCBMX4QFXchnWix1zxSMuVBV8yM1Mz\/XHOrzfsJrRSxMjTPa\/jDD\/jbz0F6iD3SEV+oY3Kg76j4mHfKFY+4oB5V3Fx1LunAzF3cPNUf+9w64ndT3A++r9kh3gNtzcaFRm+69ojOj5B78oZ86RmFvp+Fkf4gzIweW5xGxLyiVuVj+1l0Oxz5PZAkgQc8+h5Na9XBT\/NSFgCaS6ouLpomQiBOTWCkjCquegiBR2ZY5AISoaj3IRnhhTcQ3oF0kYHb0e+l0OKpGgynv0Vb+dV3qXdfUn\/KJ+MAY1dZflQ0FnT652Afa9oQVgVoVwRuhvg1sW\/leLNa\/0jM6dWFgg2r28g0I26s66452M\/cEhqZdChVUdy6Smd3VOggiF7XnhRzVdUrSNkYq6NTrdIdg7aJrUJQ7pAcuGNiEhwk6EAl+cGDX6\/0ZD1RUw\/F+9fayL4fa971Eb9AtyrfP8Xk6YKMuDN37fnfoNttSuAdxseWlfa3+O0qfcbpcNdUVD5jaXmvzC7X0ftB+j\/Sa7tuwHTquriq\/u\/\/gW+DH0+a2x10VXzOTeYX0jsO2onTIoz22h75cVllDe3zmgYz+13c1dgWhJBLmF213rbMSwp8y2HCPUOLt8Nr+G\/QBNx832FM8B37MWQ12Htx19EJGyVZeVLb0envD3tgv6ahWs9y\/rnCOt5ndBvEdb2pPLXy02JI4596206aiJyo2F9JRAsf+M2cNfC6cz5RYBpp\/1ORlS7UGXNBKKaQXbasonEfM9L4N+8oMxVB91mhpO8nbICBcbOo9sqvpPCH3bHBtLTQTc+FWkA9G51LLrr0tgcVl251sLh7MHDzV8NLxiOHzd5waWLj2mWfX5RDS\/9aB5n+zllVC2+qK+9N732iEwxUlbmPzgsNwt9ZkMsFq0dVYd6jLVPxMFcxV9fYNy9OAtwMfyGc\/QiC9aJtr3SJCFrG7zlHfGhjxtextaB\/J30BZclU\/vdr08dFdh5ngsaLWf8su3QLduKq3lphONXFZidDGlDoCVEQVLYk5f9mdoc6OTrGp\/zedvtQcG8zRxTGwJESDSKz00srxLAkwqlrNaHt4jfXztqYTIPBBzz81+xatXXfPn8SInKrdANoQpDoCl4R4PR\/byquommx\/3G54\/0ADfyR+xAfi2pqQTMKQH6FWkEo\/FX7GycemgseZoX2u3PbpwWOg16xX0C1mBi0lYfOfE2htoBYyVomC3YfqGrtNq58StLDA2Ht0z4FOwQsBchJTFvQcPOhJK2REKzcsCbbvPwYqFujr9vb19Id9CaL8Cg5fJ8Q0xwS8xetRTkDF\/guVLoKkKdk3KKZF0YYx0eUMyGAYMwTojCgpqYYlSUJTYtml\/apIQqx0sR7bry9lqxssJSUZF47uOtQtX5Zi9Yj2qrbKM1OmNHDaSPI223IWBLrf7w9nBT1nvIbcAjs7D6F2WMWzCteP\/0mJKBrz+E1pjWG4zXpLWhpNatsfWsP7bptpVXnFkysFH4jmxeBG3VHpkIm33RO4c5nskRjaUPktcQJLsy+3N+ypbThtLqX2qZrZ28YD78o1XmW6tU2x94393tsFqhvuM\/tO1O9\/Ty4OityBxZa5WCDlWeTjzrNi0yHPex+b7F8Fq67YHjPVENBAMu5ypkaT5itJLKxXSqterCBRAkTmAFCzo6H1SfgGMerDO1XZXIzCS2d0pdFlz1lDCVWsmupnHrAMvN1ANxFQgY1RYX8BRaobCjp9ITjqZTsgqEj8Zzo\/NeTcC4rArIr69k0Kr47RxRMGf1vjW8MFm6qpf7al1HrN0\/jDY\/0RrlRLg3F2LhGXSWHnSAes8VaRCrGFiuAJ5Ww6FDfUOuASaEzwR8qE9Dd46oR3Vl5ZWV46fcDaYLYWr1sxf7DtV+C\/ZtoWm\/xn24VVd6Tzva5QVp7dBCfbJ1oH5xdtftRuSSUkxWBeVPLUA1kJckv7Dd2zbnOx1QwdG4yW5eUb84C2MplO6PGOoo3F7NsfKQZLXllpbqj7V544vjUjZilYm78A+iAwuJJVVvKpl96jvHSqpWdW\/iNl9vC4ix5ZYRlsOxnZKrDGGtVSLEWPFKT1vHHkxLGm04bCR4okyzlry6J4nFuKnizLz0o3AZKsviF3dckiCglJteQ\/kG8O9p2nd0USg4tRio4oJ\/NVZ42W3iZBePmj61ZmhwaFyZfS8ra2wexvXGM1A89sLjavsgB\/nWEDYYBpfdBmmWME0IeHh8lsc8atQMCQvmLtxrXLMiGpHgJ9Hs8ZGloP7Wr+rdG+zEaIv721G0SlfLmFUoRZLN687p6Q90RSP0zXBZKUWbShyMpkzbAg\/9FHCoVx0iI6HXYuLfOsJZtWJyrW6iOb8SUgAmqWxJibm0XOe8L3vAY97\/tMS\/NhWaNSpy6TOiFLiAitrMOSaFWbbVv3gNV\/qunYiSPN\/dlrSnPYNkTOrIbdYBWlOsIyLCu+lU\/NKaHmdOVC4jtPrRQZvUxSTkK2v9hcxKyKYbYlf+PGfCb8tF9aOsv+7TLRDJasL7WbAz76+3+0PPIGLTwHdMrzbzOCXoMWFm1aZxvxtrSJJ+ZUdwRT9odgcMRgTmd2zGRdvb6s5G5TkJgKnnK5+AF3hC5PBfqY1nvOtDbuae6bbV+Wy\/Q+To+8ra6YTqiKfaNFoxZCXUxgJX0I0BlRVlJVSzIGmpKoY0N1M6vou+JSYi9bYwuda\/XE6k7MqFVWeaI+8CgS5vy8rMD77fxmCQme7fzYkGMDgwrVqB2G5VKnZwUNlAIlMkvZLVSqzvOC\/DfRB\/tONzZ2BCz3FdC1nloYsBuble0Pa2hZtblseVa6CewKu1aOMgvyLJEhj3g7z4WsS+0KtlepucQJtK8rziL+kLW0hLue4L6uzjX4PhRv+iq1hzw63Rbw1jTcA0Ou6NCCIw1eiqHvly0KLhRQ0wzGpQW21L4zp4UzGnr\/YN7S\/Ns122ChEgKqSMZfzpTIhfOUJVZ51Qu3kX9KHYB4Wj9mvoGa2UnUS5cPRX6Valv9IFMs2BosX5M\/Lwi3QKAGHaPK+quxoTDebcuCe0VnhKPBwQ6Pb449fyEh1Kpobd+k8MYfXVxhGLGsfLJMUPwF9rIniyxD7S1hrohqKdDV3rlQeyK4TIBRYkFFKvQRodOhvMKS+HDp62LMa03MgYjv4mVCfG2NhxrDodl7lYQ+7Qc\/V3gy8xM6tOAZj9dgK1gKCxD7ZYqFOWaaLbyNd2RKL4VcrQ\/ab\/ZdfAkX6mXewX8QU7iUfNAeDYHuIxEmG+l3SS7261lsTPMkrM1fYCb+ALgs9Gv2xPdrcdSNjW97AyTko+OW9KxdbcHqdctmdZ9sDy1fV7RA0iqSjMu5ySzhDtqZzHMhFsL8jAwS8AO3JCG4hNbyD8qJWXXWWGlWNsxuuJXRen9Z2X3UpQnn8M\/B\/k9DUXTMixeaRwYGQGJYFekQrAVFmf7Wupq6hjdbvRdNWUvtWfLxshaRaODDEydaILT1EmvJ1udKwfaR\/v6LJEpUrHdlk8sX4R59pKW+1ODvB8i8rOzZkdrGhUVl66nrxorkAM3OTlSsI3RvuBQVUTVLQv0SQ19nJ1vYLrSfuWzJp6LFpE4OeeKWJCEitLIh0B3PksSpZly6bvUdg+0nvV96YJ1NIkuROb90EZxZDfMi1RHWXl\/vMAAAEABJREFUSmYHLPPNZCgAp71jIJOUk2zrItYJj1IyM0VjRUstWdJjv\/n20vWrc+bwqpL4Qr+PRNGxWrOI\/5KohZIhzLHfvySt+1CNe09jy5m+4XT6o6cS2yIhKyQHuqjWnzjxbi9ZWFLx\/VIrrH7xexQa6\/igE2pWtm+saLRCqIMFrKIXATojasu9iiUhY6AphPYbtbRpmCPaY2qg+6jEhTgNuuDrvxB\/nDL1j6zylAG1gUcRNdpsWaHuTnb\/JtBxps9kzxd0nNrhqOVS3bOKoipeUiJqxlysFJXwv39w9w\/ramvrGk4FctZUbF7BVnpqYaLshsT+MBImqYfGchQj8\/JlWaHONrYPCZ5p6yQ2emyqWDUmU9qFMdNiJpYFkvOFuWYTCQ6zxSmmZTiDTvc8uZmYHe0eRMFOvZQhPywEYRq6P1Os+UvFn4npb+vwWe61K95v003xRq2ohuToFheTosQmsupJLEBcrZcsrISMxjeQdEpIxOyQRL10LWGCPmDtFmqkZ6STwBBoAB2j2vqrtaEw2gtyDX0f8Iel+tvP+i151Fcn1Kpobd+AC4EFomN0cYUhSvHNOQvnEb8fHDTWiWpp3J2LbGYZLf2RrK0oFfra0+lQW2jGUhj0caOzVkSsdDZIuprpiwulr6V\/Xlr6ILO\/5vxldwY87V5Cgl1dfaZ786mfyrsZuc4\/RxUnQiPNnC1l0raipBTu7Y+qe1OGlOLCpfevLV1zb+y6o1XNkEpva4SuCd8VVWRnzDhPBC5FTsiYzJoyaZXcBQWbHdXPPLIk43L30ZeczhdbfCMqNVl29kOV7FVRvr6E37Vm2RMVjYRGj\/FE8ZpAPxNWVdWSpFAPr6+jHdbG\/s7uQNbSfOYtU8bGRCYTIaJTH7WrGQyg+KHrWnqvZTfowHW+x0Imr2sqnU5GEqlmtP5FZfX2jfffmdZ\/an9tdU2j6hfcONXsNUztK7eWl8HSA9Dy7AmLE5GfCWPqRu5IVfu0LMlYWO+EJOGWuTKn5J6CkrVlhdLjxcSnUHXgUaToVoGw7yH6z3T6TLk22b2LsVjGVI15FCfhS\/Pypyorq8rzTOQPpqy72ZO34aKxsT90yIa+rq4gCZ79oM+0VOKOhjvS9ZlC7cusJPzrpExxcmPPFH8m5hO6Xi5bLq6XuoaIlUQEJhDJRFc9kUeiV+sjLVgqKYFkLeVRgl66vPH4Xlm\/ajf1naGO44XO7qGspRFF0O1fjdPotFcK7dLxxUwXdVWRGye4dDGlVSkJg61FTqWMntYHUjLsS+3hkGu5hcyaRdcMQoz2pdZQT6fX73nvY1POvXzNTc+8zeA\/1x1+IIAS9p87D1sdmpK+080ZxH\/xd5Es\/+XwoRqh\/fae47eMhQrej3qFVPQH7TEQMuZGmLRnwz1Mg8BldHU917dnWkjA8MfiqO32uyxpZBbd5kiba1e72Nz4blrRg7br7zU1S379VEJgrDhPCC5J\/5Ek5UR91uhRrr+vV3KTJOg90dhEb3lFSLAUo3O+WzrddPZTMzNjj5JI0HfO030xZFlUWLLxmcqq0sxLrSe6GJkEIjb2j+BULtLGC6KyIJOLYyQ3nNL4TP9iBrnc13s1UiV4vqXxtXa4tZeemWnwd3dfihQRf\/f5y5JLTGohQKdJ3ZKQzLyl5ovdnX5v+5lA1j1L2PMCTJb0WBKSnm4mAz6YpTAHkfN5\/USgLa2sw5LEqRY803SsP6fkfkvf203CzyoDbWnQthvSmprp9NHLJOWk9xxsIsSORrzevvAFfWLO1ydeQvYlz9FDzQqPjzM63h6oEQ6MjuVPlLTQ3+c50xeYk2UvLi2vqN68LK07iS+4JdRjmCmVTw37Ruda3TCq0MPscUSAzoiGkipZEqJfU6gpuSQxJSNXwrf6aL\/6JYH2+Pl1410SF+KOuYSMximhDGgMPApyqy3HcN7j+cTjucgfuOPl1A7r8qziuWcaxpz3pBhnPlhqI91HjoXXa6bFqvZHkYR6Jt0dffxe+8ftZ\/qkQ1ZvMHYldLrjuQe9sV7KvAVfSkmKCX4z8tfd3e2e4Vzh12GSInTDN1JEkoml2nKmbiI0wfQnt+olpvUiB3oEUqysmUjES9cyGhqdxFt\/NTYUt+cvnefrPguOoydwp407joROn47tG+VIx+gotV41YaA0LkfxR\/cFGZbwFxpUS5kpjrUJ+nYuSQohZTfuW0PkdMAVl\/z4VEjOjibKizm\/MOd6x\/4Dp330v4tCfu8bL+1+rW3AaBII5S6zkc7m\/e2+BfkF4YcMrYUF6f7WhoMe3zVCRkK+jsb6VsleRWhJSEru4juJ962G9otwIzUU7GttahOr0X4NPW\/sP+7100K\/93h9Uxekwo1TDOTaoG8wEGB\/lUR7\/G3zS2+yytDj6YZd+5rPh2K\/dWowpJDA732BoUBQQixMVPIJ\/S++3v7qAcYbgXEf27u78dRAGpyzSGoRjWojvpbX2siKdYXL16xdPNx2qFl49iFJzqW9xqaBjxw1uGJrK+ZQDNVnzVZcmP7psZfeEBE+2HSyl8xjOp9CDCREJ2MoAEJC6VxqqZfO\/ju+9PtWRp4eIuLLGOxpbvzHJg+dYxL69KKfGIywFQ56Gt1u2XSLLRQSbOwfNNVLReUDQ05h5CGD2EYgBmRowDcUCET9p9Q9qwvT+4\/tPcbGSUIX2w++1tqbYqbjXLSSivX+Rg8VVyjyNL580herhYkxH8vaTM2h06RlSebb7Qt87fubu4mtgH7zjuJAZUldJmkN4W3JWWTyv9t0rIdKUuhyZ9MbnaJ+xyGSEiO9OiwJpalW7Wpn01u92Q+tyV+5rnCO99g\/CT+NIhM5AEOPeSHxXjplUoMM5cTg\/dn+Fg6d39uytymC3fwVqxdf9xzkJpqZwUNHPX6ThZn\/mBEZOv+pXkYnJacwcsdGwkSK78zrDfuP94O5AKI+OAc3poHe6\/iXGQkRxrneHoV2qvZfw77RudYjhBea69y7W6UHpkKn+DHGCNAZUdM+6ErJkhDdmmLJsZr8bU1vsBXgmr\/z8NFOcGOALCG0Xy1JkEsX9Divr\/lHkaWkYU9Dc0\/IlMpoSSKZHknyY5OUAY2BRzVYlA83T0+8dsa\/IMcWeYAA1EafqxDPPVMx5kHPQbf7tW7R\/EYxRVKsa4qzgmePNfNbRMDOYnX7E91Ydq2AG9sdnXzlpO\/OZeLy3\/92nXtPq\/T+nIxK8hcx0w1er6Z7EOqK9lKs969QuE8Uy1KKbJEi9MVuRnY1NXWlRX5OFU0QRSbRtxKSTCzVFhcNE6HVt8qqR4hckGJIJKb1YnOwP5oCqaA+YltZIhEvXctoyIhGXcRZf7U2FOn2ey2+jv3N54htefg3g+j06di+USZURkeLwm9KTdO3SfGdfLlRsi9o8aUX3p8bbq5aCnRzDPp3LimyPW+SQhhmin2qCp66yKnBFc\/ss\/7GNUoZV+oicWNuWcUjuVeO73ZWORzO2sZzpsInniqaHy5nT6gODvqzIgsQIfOLnnqiMP3Csd3VDkeVs\/7dtJJHCyIrcrgpfcDkkfLC+b5ju5xA+gdNvTl5kR8NgX63rM0ePn2glhbWHb1g3bgmUpr+1dV2o7epzu1+mf4ZG\/S4ZdNKU1djrdMBPe4+Hsheu6UsF3zsSGcslVNYnBV4d7d7h7vpHMtQjYw56yvK7rrSvAe6p+PuNhWWb4r9YVTVar4TTa3X8tfdD+udMad0tTXQxv54giTLuSqjvEAbLl4nTqw9a6zUdC6CcO76inX0JzwISV+xeqnRe6TOvaOeTsb8oi0AVHj2d781kLmmYgvFQaH\/rG+Vr7b4jtE5djh\/dNb0tY1rgOb5c91\/yLItNig0UMqCsVeszw2LSm3jbwz5GyuUZj\/SOGfV6qzP2nbvcLsPd0dyaSq9aFN5oambjdPh3NMcyCmreJgLHiua18\/E1eHc25b2QJmCWCfIPO3zxnjTadKwJHC4uCwrMDiYtlTyqDOTOh2WhGQ+sLl0ccjzCpUk566Ts\/LsEYOjTURBenVYEirkitWCnYff8FpWr7vHCIpR9EiB6Xxz0wf0ySq5yKnajQRlQZ9MahEFTraU3jncdpBBV3e037qxFHRQaMJLAxIzWLR5kyD1CiPKCdOpbTwzK39DRVkOwCCQknzMKdj4qJ28V8\/XlObL1lIAiuj7l5kIGeANOtDXo9Aqp1DN\/jMhMSnaN1YUVwgHP+oe\/EKOTVwZhR7xYxwQUNU+3hfc842xJES3ptxesnltTugMczxq6k7enG+fx8nGdWyipCu9aMvmlbdKlpI7S7esV1AIuR6F+1L8jDPwqDb0Z+\/h3o\/MNyME7LCGZyUhYbRrumfKbuGI91zPcJYtxyAhFJU0LltTmO5vO9rGHiMFLdawP1FNZZdKuNHdUSgk2RqRQe+5QdNdNvDDZI3H4CJmusFz0HQPrGs2Wi8crQOP0ll74F3qo26gy4QOVqIWKd4CbkYaQqH5+eKdSDRBHJiE4xgkCQGxVF9cNEyERt\/Kqx40iBIkyJGHxLRebCu3eC+1RvmrSuojtpUlshLw0rWMhoxo1MV8umdUW3+3aG4o6I8HUcfRHv6ZJCDNpi\/+9g1qEuXR0RLxzahp+DbmgrIH0tr2gmI7nLuO9v4XulW0iBt09VIwxfp3LtE7x+SEUBwTTagLnrrIKcOlw+zTDsfzLeA9nl0ItE25pRVOl8tZWel0VVeWF2UZhQL2kflgpcvlKs+TZRqzisorq6FJVbWruqI0Z+Hq7S7Xhntog\/Ti7ZG\/EpidVbSpylVTXcUoF3xjA9Sy0Vr0bV5aBv1WOyqra6Dbwsw8KN0unMXMtpbS\/26K\/CuB4fZC2mN1VaUD+q0oW2qmJGLelhW0FjDMmLEBRZYI16P\/RRTuIsWUs7aiugaGXMkYKMqaHa4m\/VSpZimucD1bkslnabZ9g9NVUUyfMyD6Ob+HcieiQcCl2+baXixd2WX8a8AlwzzCPP3zLSlBjVmDRmIpiIHLWVGay24TQwExWhlQLpcAXfRc5IlfGI7ukaRYCuiEVFc9W1VdU7W5mMqW19ur9AVg2WBpt5J3tIguFHmLtJKBsIB1C3LwOAVYVgQyCSyByIEA11RXrM0x8UmE7sQiB5Wx0lzr6m0uF6NAwpOlwjw0xkCip4nOdgQWY145TEjlg7IvWYhSF2tJRMwpiRSzff12MDZVfGpWlm4PSyOUahGJK70qliRayIVqRtvjVa7yfMEaLgC7V7WBe71ykSMqdkNBzcOiBQPhQVlc+cClMkkiws8bCnEUQQodGDownYBfZfnKTPvjEbtKxFLQULCF5YWZBoEMiTci\/ldNtHZUj4QYF0nWlG1lbM+p8i8zMW0pQf6OwVCpR5nNkdt\/WZEoJDH2jYhFsUIYnouA92P5XQHOIcbjg4CK9gmdKVoSomG95ZoCKyk1JQ5YksD+F5ZKll0NSYC+5dJFiCFTcEpAd2ApWW83p0CtmCDTI7iibjcAABAASURBVJlMsqoyLdYeOKsfiRR9MyiGAap5VmF5hlqEIrZJ1T1TNuYfw+Jtzxd+wJURoVHUoNKLKlyupwsEF020MLDggqMnsz+ysQMlGXsy3KCQhsDnATJHwsCQ9zzo5XKhK1qDvSV0orsg84u2uzbYWDUeqVWOnu64ApaXSeUBXAsHWNrtER81YuKkQEkZi3axKGPXAoEQkZx2oQmiqCTzjkaS0dBYXAgBDVIxEdJZY3QkkVFh1aPFckGSygAthbdBbXcTkRyoRYNEVpn+cleWyVtp7lwDcJ4e3kHI1Ce2U8lAEvDSWaeblI2GjDfKLLGBp8H9ZxJZZGPXX0PU8CMbCkbFaC+vcdHdFrsSopjpC2\/fYkaqNDqBiPgRQy3iadA6hrlsj8z2qq6qTVFbRa3SaCsq7lxiZjZ250iFsNpVHbtOxbSVIC8bvobgRWMu+LeEKMKlbPYpNBP2Vlxax7P3VFPs055x+ks10f9gjFMJIDYYY54jFRsZZpvow13itXbCYDTNNmhXSbTUYNLFgM5qqr2PEeeJwaXITarmrOkXgwRGZDDOESWl\/3xvBvuTEUXmNDP186ZJhhamGGDaaSL2DUWqMjYK5mM7mqk5SUxTqqZMRoAyGFWnhhC9RBg5ndKrsxojqRgZQM5Gb8u1ZFKx29hMGImG5ZRqaGxbWU4CI0pCEmRdCRcJ9Ci0UP\/QYClVXQiD3d5Bm\/hVL3XqWDKmCIDMaui7Yle6NcUwW1ySYghpSEJMXUIS0B2F1opZSQw8ho5eVyFFyz0Doyp1C\/t7+jLy2B89xHQXLwOGpGF\/4rUWyvs7zwWEf5pgOcEe70BuQfhJepY13lGKIY4LGreCPg6DH3b2GWwRm4MmSB9usbWikZTXMKgv0FomQk5EdqWxxMjqxVyAiug3d9c6G93uAx1BIsrb1d5+PzHPmxtDV2eG1I7Fc3S1jYZGhxrgGIwm\/cMPd6ExfeEq\/FM6Op6jEGtT07aoWqUao1bgQpaVpBDKaKhfqIqcDK5RmH31rhMsSUmwPlZHBKYFApkllc8URt\/RmRacA5PTmnngHwMigAgkjoAxv9y5TulnkhInhS0QgWmLQOaaymdWTt7i3dPuCWRJ\/3LFuKy8+hH+jddpi6ky4\/729+T\/pIMmSBmouLkxSMZtMWEVRtNRqm3pwuveN+oaf+n1DQUG+9obdx3rm1e4OvwDbaOhTQg6uqPDb2a1nmSzz8DEAxEGA0aIACKACCACiAAigAggAjcuAqHuTjgjmNjnQSYL7Uud3Z9lFdwn+3rpZPEyZv1OCqGZi6R17XMVa6z+jqb6He66V1oGbi+t2FIU+W2LSUF75nWaZjJ9IU11WNqlqs2wIGEE8EAkYciwASKACCACiAAigAggAojAzELAkPNI5fZvTZ\/nQUaD\/vzCZyrLw7\/CMhpCN3zbmYykIT2v9JntVdUul8tZVbHeLv6Y3w0\/62MGQPqKzZWbCsK\/yxJNVrs0ujZejwIBPBAZBXjYFBFABBABRAARQAQQAURgAhDALhABRAARQAQQgXFAAA9ExgFUJIkIIAKIACKACCACiMBoEMC2iAAigAggAogAIjD+COCByPhjjD0gAogAIoAIIAKIgDYCWIoIIAKIACKACCACiMCEI4AHIhMOOXaICCACiAAigAggAogAIoAIIAKIACKACCACk40AHohM9gxg\/4gAIoAI3AgI4BgRAUQAEUAEEAFEABFABBCBKYYAHoioT0gopF42sSVTh5OJHfdU7S2EEzJVp2Yq8SXyMnXEBSVXnBQdiakzbzqYxSqIgBYCYynME2xGRkKBwJRxxrQwxjJEYHogELoaCM5UlRorSzfBVm7KCw61wiOUy7ECmNKaYu+JOhC5FggMScOUV8YLx9xOZ\/27gSTnC5bwT72err7Bq6O2Oro5GTxV797bNpgkxwk1G2zb63Yf6Za3CQVlU8ymezR+zLmjbvfRqD7kPSZ+NQY0g559TucPjvYl3rmkRTcd2zlJxgxITswQ0JIkjXPQ01Dt\/MERHZKrqSbgS8mNOdX0EFspk2FNs69kCNI2Y6Bf\/W+6ndX1bUOUXLLvQbCT9afUTTII82gspH62xgVk\/d3P+Jp0omMWRMmoQ8HAYF93jy8wMdMt6Zkn+8dAmDklQvSbkXCL0Xz6TtXXOJ3ul0+qa9FoyGNbRGC8EJhAhzyRIVz1Ht3pdLrcTTPS\/7wwuo2bCOTEWjmx2zFJdB9x69sJDoJ\/orVsidxcbKt3OZzuerDC\/WO4lIj0p0xigg5EBlvr3bW1dT\/cvVsIzd4pA4EyI+m2gqV2W5ZJuVQzN9h3rK7a6f5R04mf7a9zOWv2t\/uT3i1AR\/o5GQ4EPhuGFhMQhj8LBD6POuvxNvPJ3VXr3uGu3bWbzvWh9uT9GDiQDIy1\/zgGNI3ZS\/Nz8hZbRoXyGPAxqv6nbWO0JMlPnTHbvizHvtgSn4KmeHrfZqr9w7raWre7ro6q+Q8b2y\/Hp6pcQ7Mv5Sbxc8eAaMbdBfZ7k1sBIvxRO6lukqkwT8xObwzwiAwKU7EI0ImOXhBZrZFA95E6Z3WNe8\/BY6831Lphc9\/QeiFq6WQ1xzMapTB3vuJwvNIpMKjfjAgNRvEx0nnieH9GcaVrW1H6KMhgU0RgEhCYQIdc\/+gG2455ri3ZUO3acE+8Rpdaah21LZfiVZtS5fq3SzFsT5qVi+FklBmhzwM6d4Kqy5acg84Tzf3zVlfWbC+aT0a5lMgJT7mrCToQoeM2FzxVKb5Kc2hW+A33T4ZUnhnRvIdG3bxrYSLyT3obU+3pjJEQ3OGU3dKMZcCYWbC2NH+BjKhGd5J6fc0H20N5m6udVZWO6uqn8tPOH2t8NyCpQIjGoHRzooKXrB\/FC4qMCmi0fiw4NJcQiIE3rQOKnFI+vf+9wEzMBf+dXWwqkPkxMHCVSaFcqRQRQp89URuvxqRo0oTxCEGjGi2Kwcp8T0nZN6xGoTX7SB401hyjhBBIzpJozBFI2NVAQE38QGjVxT5G\/GJkVdGSaHQXgUKHJdEYlEKR2fZg2epFMslVlPAIC0qpnLVMtSufonq+nBv1zTI9p12r6CvYEDVTr63m6ojRIajNnYR\/rWrAVcwUG79UULo23yJdIem4ArKFQ6RPi1SGLNZJKAFSpzYoJW5F2nSYMSZLLMVELAJxEKMzqzLpmhPBOgp2Hqxr7DatfrraBf5AZVV19fayxYGWvbtaLrJySRS6KpMfba7A7MhqS+jQJDAm1zIFYab1Yt7QMEYRYiopmBGigZK2dZVQp0OOkvnBgYERc9bCZO5LaXlZkk4VkqGgBrYhGYfU2isbBDX91QRKgRkxayQUlOq1Bh1apDyCOGIj9oWJZBBQFwY6I0naEKoU0nmXMqYmY5pa7LvkJ7dlWQ1SQmOZTsiOiR1rSabaMKFx7EiV3C3wLGT6ENsKSEUHJSsHnKibRzpTMuMQpgitFPPD5bJPbd40BIkWyUYpIyu90O5CgdvBgUFizrKamC+kuJSojh36VSAIubAqBMf8fjejO6qIDXFUFEbX+Gpfy94ah7PGvaPGWeWsO+QRH6YIXWhtcDsd1W43xE53w\/G+oNBV5wGH48Db\/Bket7va4dx51HtVKIOPQNfROsh0ud0uaF7XeMYPmTR8QNs18ycwd8CdGufuN\/uCI\/72VyDNGHDWHu0Kn1wQ1ssHtB28\/Wcaa50OJ\/AClN0NLSIvUBYVLvX2BklGZiY3OIbbSyoqKzcsTeO11AdFiCoUypzUOB01e1v6TsOg9B7iBvta6l0OJyADo9jZ6DnXXAtI8jFGgVPlrD3iDQMu4Y3ORW3jmYFE73BB18JsRk0KIVAkcBVTBKDRJ2arnDU73DVOKUsMkyRkAChKgqqoSLmKwWrweK1jZ4vw5MuI33OoFkTXDRJVBWLa0ieKojihAmjdzTsdkftsEjYwOQYIiGjHWBIS6qemBGYneo4GW3Y6al9v5U+QUnPhqm+7GOFFXVtjxG\/PMZh3\/3sHqCkRZLU7IDwXxipzLZPKlZK0R\/qGlKYlUR8UIaoyycZ7XJDciN7FSDh0nmSAWQA9p1BH23N1+0a78oFZVlBzxvDrqhOkob+UaPitVQ0Y5gtQrJIykyjcFleFVIo2DLmm\/nhfO9xOF+1DmAf9nzAvACFd+GIlRINbqWiN4YTq53sa1gSohaUnFjE2+xFvIakFMfhB05HzpsL\/Xp6\/gLsDhBjM1jVPrVsYaD3EVxCphDd1Mwy1uCJEdEViHQC2MB1tPVLrFByqmvpTPkaSEDYcJszUHDkkrwPcNKmKFuWwqYeQnibaiD4nQnNqw2ZE3RCxaurKKzDGPpQ1FG5Qv9jqJ\/7WFx2RBZfVB2acDvexC\/yCxReOuR27oTZcxLHbfLxQD8KlyD1wKXox3yagoAk+50snqQGlBqEO1n3wTCCmLmFk3adfSQjr7+5joq+ougwR2a1p4Iow6DjCbOK4HO5qpT2rm3fmp4HtUDK\/wZ6j3IMFsXHuoasV7QffY4SAuH5RYXilXdzFEPJZN+gjnRE3aGVEH6FfVY0TtNXDdkCCu+5ukD5WBiYC5jksY5I9zoivbS\/bT9HlzH3gvfDeB7pjASRN1GWq+BL5Z+VC19RQgOCJ2seeE2EKwq2WUBeohR1aJrGCsgt2DCyVsBED60o1JCg0k39ANVEyo3c07Ns94WGKqtQJe54DHcypA0PHRtpwsj+8JWGlTMcZw0e5PRQ0WhVzyr+IDBsUzRGtnLpJYdWEgbMtp9SHVOZfPn7xSpU3YVK4EeAbDdnujNoivgcRPBDVZ1Kju5Dt41SECgZY13qZ+H9Z52BiIFlKoEjLf1YhCC5THCkVIZn4RIrQ5aR8jPha9ja0j+RvqHTBq\/rp1aaPj+46zL5Mc6ll196WwOKy7U6Xq6b6mQczB081vHTcJ7Lp7fDa\/ls1bbV9gz3Fc+DHbVz1g12NdYe6TMXPVEFh9fYNy9N6j+w68EEw3NDr+dhWXsXarcm+crph186G9jmlFbzyUoPntQMCoXAD+Ax+cGDX6\/2WB2ktF7vD07qvIbYa1KRhfmZmKvnkTPtgiF7B22AymWYzf0hjUBpQAIlwoJwc6TXdt2E7Zbiq\/O7+g28xuMIVtD4vtry0r9V\/R+kzDNKKB0xtr0UNQgLO43bD+wcaTjFQGW+t\/5ZdugV6dVVvLTGdaopqqdUvlNGu20NfLqusYbP5QEb\/67sau9iksCKSt0EoKjbBfDWdhzY8qLDECpOVAdYY9g8aokK50saKE4EbgLuOXrCUhEUjJ9DawEVx9KDxHjDWgwBDW9mSgHO5q74lkFO2jUnvlpLMy60Ne1t8wmkFbDDOGh5g8+d8psQy0PyjJi8v0tBWxpJE\/EqzL7c37KltOG0WTAlVn8YD7zL1YZWFiMpVu7q0C7WEDw1LojUodZkU6LIPyokeCWeVdUZ8Fq4vLRPseUnGhaO7DnVTPedFiqaeEtdSc\/9yDVYGAAAQAElEQVQZ5QmKZ+opXXhrVWNc6bBsGpCyoo9NBY8zk\/xcue3Tg8ci5gv6TzDQeVExldrc0oZjPaEJ8j7NqsdHTEUstScigkLwbIc3tHBl0YJIFksZbffbzZc7PRfZFZxxdJwaWLj2mWfX0cdmNbmK7wBc9pw1sOUIvKYHLANvN0gWU96dbQO4PyxUrEwnKVkL76QeKnhiKoqQXrTNtW4RIYvW0UaP2ziVcDzYkpx1DbeHT1UNnV+0fWuhmZgLt7qivzKzKN8+J9D9fj8058Hb7gncuSzfTEg8u83rK8eXPacGrGufrly3WKHc+26baVV5xZOAGtP6CxklW9masr1s6fV2WFPYcUUQfEiPcSVdUWoqN9iG2195gy0ocYBS6C+S5W07bSp6omJzYTq4LZ0HtVyOdkXzG\/QcPOhJK6RMuSo3LAm27z+m228k+IqHwIVjB972W9fTZa+6oii971jjL8NLv5o+xrch3qMHvJnfolMG+5iC\/+Jr2bu\/nR+6XQRPXnmN6H\/rQPO\/Wdn6W11xf3rvG438iFAcgO3xiC7H+crMPRtcova56HclRCJqCb\/EjlFL9Xp\/BvesYNP05VD7vpdiv31Dq6nuaNRUifbvfWO\/9\/ZSAZ37zL4T9fvfo44GLZO+pRqthXm6lpWLZ1JUXBQt\/qU80rQWb7ScEJXFiDBbpMcD0eqCEFWhAmQqCucR89cqXEpioDJ2DYIkrpTyAU9KPIEHIv62l9zCq57\/zlzXidbBzKINRVYTHbthQf6jjxRmhwZhlfO2tg3OL9q4xmpOJSTFYMkr27zKMnjqRCffqxBiKVjL77rAHZeSVVbyqZc9z+Bvb+0O3bOufLnFCEcQUFa8ed09Ie8J3h\/0YlnxrXwL0CQGc966oiziD1nXQi+88oOrbQZfZ+QhEagPAbr1zlq6riwvHWpBO+uaR0vvNQc+DUCZUrCueTx\/bv+xOjgQfrHh2Ok+f\/hkRGtQ6lBIuqCcwOg2F1vNwIrBaFlevjHPJKmglewEsOcXbX7UToefYjAvKnnqgSx5Awk4i0pWLiS+8wxUypul6MkyO7vNZZhnLdm0OqqlnE70Fe36jqKNxeyZKzabpbmh7l95AEFadJukaPmj61ZyEeBEVFhihcnKAGtMtESFchUHK0bk0qmWnln2b5fZw6JRsr7Ubg74hggZNWisA4yUEEjEkpCek22DlqKNJdZ5oDPEsMBe9mSRZbD1RJdA2ZC7umQR1SeSasl\/IN8c7DvPbjxqaStrKhE\/+7riLGpKSku4ZoJyrc41+D7sBglndYWIypWWtAvVwh+qlkRrUBoyGaYLn5QTPRIOVfUHKvNZRd8V7bm9bI0tdK7VI6iDsqln5LXUXGWCtPSX0eSRZjXKsA7LpgEpLQrZ\/mJzERMhw2xL\/saN+XpNMudQFtN5UTGV2iaFNhzzCZWxNtMudCCmIpY6xYYEAkPEPF\/pJ3sWWDKIf5BtoAFWwz3rNj9os8wxgoXS5EqHA5BqW\/0gM0Kwzi5fkz8v2NcD\/hR0EhMutRz85WDWg4\/mzx7FapWsdZVwo6mhknryZGZBniXwfjs7a4ADHW\/nuZB1qd0I+4Z4rqOcjvwq1bZuU4ntNhOdCXkJXFlWbS5bnpVuMhCq9bPyH4ms+0WPrLAMtp2kJ6HXg8PEYE6nK0qKyfqNsrIHc0zXiJbFBtJxArVR+dAzOK6sa3WXQ8X8\/iEYHBGYIibr6vVlJXeblLaPcfjAYmUEhoeHicmcTu2+Ib1g7eOly74Urqimj\/FtiMH2cHhZMVuLNq2zGfpa36G6TE2EyhpBGZltzrgVejekr1i7ce2yTEhOVJDYMWqpZuWVRTZNxetWzB9s+1XUMRytpr6jUVElNhxD7rrwPshspbs8Q98vWyg6rDQSpUo0OoI5GFqifyMT1xVUcVG0+I9wyFPxeVNZjKhB0OeBaHahIVScQbVYZexEg+DkSqnaQHj+BB6I3Jq9ouj++1kouJPajsHfD5B5WdmwHnNeCDEuLCpbX5BJBvs\/DZkX5pjD+fBpXrzQPDIwEPYhTPMkhfMXmIkfnA9C+vsvkuy7rFBfDNa7ssnli+FnS0zmSDtj5m1msmBBxGSkzDWbyPBw1Erhu3iZWLKkJwDp9rVlq3PpEMRepAljVskzzuqqp8uKFqX1v9NQW1PHvjCsNSh1KKSEKSdRo8u8Q8nfkjYS0uxrYHJIjXdkRsCg1aTgEMt8MxkKwI6O8SZvOTs7qiVtrfqmXRsC3UcONTaGA\/1iwsX+fkKLzFnZ4MeEWxut95eV3SfOiTJLvLIpSRngrTVEhXElH3EMVozIpYv+KNGYby9dvzpnDhk1aIw+RooIJGBJwJT0h+bJ59Kcs3AeGfi9YEpM5rmRTuZnZJCAfwgytLQViiFIxc+YaTETy4LbIVsI1JQEo0wJk6ssDWkX2oofKpZEc1DqMimSJVzv5KgoS7ikTdwklfnUQPfRiJo3nga76+u\/wNVB0dRzqppqrjxBGvrLafJYqxplOEo2ZitZNg1IaVG2Fe6f894gTsnMXAAfyQUqISqmkmMon7MIt7Rh1Io5+glNbgzTpJUexJTFUq\/YaAAxcl1aKDFB2lzpcACAVsSnS89IJ4Gh8M1qaZdksOVQ6+AdJY8uo2tv0iMa7E\/OukpZ0dJQab2otHn5sqxQZ9sZ6q0Fz7R1EtuyXKgS325DJdUgQy+6lkn0N6jWE9+vJYbubW+AhHz9sKaY7Ktsaecaa9y7G497+oYzcpbmWIyaFju6n9hriRzSruXeqNTlUDG\/ZI79\/iVp3Ydq3HsaW870DafTn9amEx\/bFeYkgcCdBUW3X2l90VnXcKy1x2e6w27PCnvWMomK6KMOjYtaVqzWLHBNQJepiVBbI6wFRZn+1rqauoY3W70XTVlLOSNJDCmZJjDWcDNqqYivTXT4Gw81e6+S0KdUQ8J14JNWU9\/RmBRVCZpBiGpFd3lDfkAHimQBeArbQx2Yy5qGL+KbFOgkXJmQiA+pxX+kPkvp4E1iBEhkd0aoQYgSFWUPRLMLLaFiDKpGKmPXIji5Uqo6ElYQFhZ2Mb5R6oKcpXY7CzkLpoQ1ngWjT5k1PqM2GG+z5heXPfPcMwVzBlvf4d8OHouuZK5UggTlflgCjUdCo+kWOkozZy+UvGwrSkofKcyGgikbksZKHNGoQRMpYUKGwNSzJCTFABxSewIfYxzGzZKMXsJjR3rLXJme31NQsrasUHqYHNtkcnPGQkmvh59bHJOhaJlKbW7HY0LHZEhTlkjSiGlPhDBeuv\/xX+ilW3YhJ\/xxvq8XTtLF28jhbOFTm6tRrsSsj8ETB1svZ5Wsz4\/4YbpGxBpPkchoL8g19HV1BUnw7Ad9pqX5VnDnJo43U4bEn1m4cOn9a0vX3JsO\/RsXrat0bt9YtDDtQtv+nc6ag50KAgD1xiOoml+j9S8qq7dvvP\/OtP5T+2uraxoj3yIfDz4ml+aE955iKXiqqvrpsiXz\/d2v1zur+R3QeGwkoXFhy6C6Riwo2OyofuaRJRmXu4++5HS+GPlqcDxuxr7c9EW5hvx5aemDdqohUV2pG7REVSn+QpwE5lHcJnKZGP+j4C3+wDnbml2oChVvm3isSnAqSWnUsCZ0DYnqO\/2LGeRyX+\/VSHbwfEvja+0+kp55m8F\/vlt64Oc\/d96fmpmpoE+R5oTQs7Hej2TPZXk\/6iULMsVHDqS19aUtC+YRX1+fpPKg50hj87mAJEeSHGyrd7ubwg\/kkxSLBXi+NhzSHJQ6FBLKfHTnZOsrHZ20imqaQXquG25hiFUopOKFeiI9M9Pg7+6W\/vmWv\/t8Av+ySbsOhIy57CyMn4hlzyHEMMtAmMvY1yvxGILeE41N9MayOkNxSnTKgEY1yrBfD1b00SS5aFzyHD3U3B2AyR4laHEGicVSBDTUh0rv5ShTAtJriGdKmAxEtdNlgqR8RaUTlHZVS8KkS21Q6jIp4YaNTo+ES9rETVKoP79uvEs49aaafsdcQc9VTX1cqmoVNPRX2kSrGmVYj2XTgPT2TAvpPQebMrHPEa9XulaI+boSdF5UTCWbdFVuaUNdJksXGzdCpeQR0ys2hNj+LN\/U19IUtfkc8bW83RmCu7ewCEYjrc0VE+YkHQBJT9Ivy7Bs\/SNi1SMRbahmiCK1tFNsUEn5bNav2k0fv9f+cfuZPku+8FQpA1DVbqenm8mAzxdhyO9XceMiVRRSVOsDhj+WGLq7LGlkloGeivv7znj6hsxZS4tKyyuqN+WnnWs5dYkprzpQlK1LErZGrqiypWCLJC6Hivkl\/j7Pmb7AnCx7MWVq87K07si3yBXGh1kJIRC82O3p8oUWWAsf3PBMZVXpHYOtJzq1KVDFUTXmvGmvt4cnWMyWFfMCOEOlEq6yRgR95zzdF0OWRYUlGykjmZciXw1mVGKidHMG8V\/8XSTff1lVIdLnZZDLFz+JnP772bO0kbaSFFXqQEoG9QEEtz\/XcguZBS6\/pBKJs6PxK6oSJ6Cwy5u34EspvFA51oG5YkMKeFK7US3+o3pKljdCqC3S5YFodkHHqCJUUZzqvNQgmLiU6uxzLKppStBYdKBF457Vhen9x\/Ye87Kf2QhdbD\/4WmtvitlCiLWwIP1SS\/1Bj+8aISMhX0dj\/Tu+9PtWxrsJYM4vzDF80FR\/nJEM+b3H65s+MOQU0h\/b0uJEqyx9RXHO9Y6DDad99P\/VgOYbB4++7zctMJGgp9ENZx\/h3wjhRNKtWamBzhPhQX3SfPI8sdyZDWul1qDUoeBUWcxG1\/PGfunouuS9s3rkQnOde3er9AiDQ+pvbZBC2irxDHhDxXjRyoJ0f+v+Rs9F2lfooqfx5ZO+RASHDvy3zS+9ySYFZvN0w659zedDJsDEVlyY\/umxl94Qiw42newl80AEFFnRk8lQii8DWtUow3qwmr9i9eLrnoMN7RwZv\/fYoaMev8liIkQvaEHvkYYDHdJzKj1jxDpyBDTUh06Er+VlqfS2+NILVkq\/5iAnxq+oDCRjgnhr5Vhd2oOeg273a91UwcSm6paESZfKoDRkUqSs3xoomjgJHVkSoJ7X1\/yjsOm72N6wp6G5J2RKJURjgmQk9F9o6a+EimY1YFiPZdOAFMgvNnh\/tr+lh65hsDi07G3qlM2iwEv\/23XuPa1x9ZxKnYqpZJOuaodpQz0mK6EJFXifmR96EYsdvU6xgYZfKtnwNZP3n+oaT\/f5wZMhoeCnnUd31bcGrOukT2dAzXDQ5AqkLcegxwEIU1P6lH1ZRqgQb0QGWO6HBnxDgUDU\/0fShiqGSCAd94MNKv56LdKRJG7PXzrPd\/KVkz7+c6qshAKoarctOYtM\/nebjnFtvdzZ9IaisjJCGhGwvPh6+6sHIuv+3t2NpwbS5kAbg6\/jaMMrzf1suv0+ONlISzNyf0AVKEuO1eRva+Je0DV\/5+GjnbQ5UIsJGrYI5kLN\/Kb4zrzesP94P\/dgfbDpnsekKgAAEABJREFUNVKmYqhjRjIIGD8\/33yooamDLgHkmu+inxiMMOWapGCy4iw9oc7D9bJlJcVaVAA3VwmVcOU1whjsaW78xyYPYyT0qQ5GUnIX30m8b3EPNhTsa21qk2wKUoiBhAZ9g4GhAJWcnMVZKd7m\/e10UwZ1TzadCv8sNIl+gYbkXO\/YfyCyaXpp92ttA0bwjKVVaTV1g6aiSoxAqKspapdnvX8FRYeVKkfxMFezchRwVZOi3BXLVeFfcQmOxxsjqBQBhPo8kPj+g7JQKXWqI4+CpkwwcSnV0d1YVYGFbqxIxaNzubWO\/m8bfx9gJ6jpRZvKC03djbVOyHXuaQ7klFU8zH4BZH7Rlk1F6ReO7a52OKqcu98ayFxTseX+OAIPHBhzyyrW5w6fPkBJOmsbf2PI31hRlhvPPEFL9QA0t6zNDhzf7axyOIDmOVPRps0FZkLOn+v+Q5ZtMezrpY3Ti56SDOofO00rystXQG1C5msMSh0KCW3OSXh0dUcvWDeuYXBJ6kBy8KPuwS\/k2OZDUhLmFz31RKEIaf27aSWP0kFIaqglGW\/z+o\/tYtP0UmvaA2U6WwoU6cBXmrrYPFc5dx8PZK\/dIkwK48p0LlKUu75i3UKhXXIfgJIeGdCqxriKYHVKDStjzvotpXcGmvcwZGobu01FmzdxbOSg7W1TAc13rrvP2yNZhJIb8w3VKiFLQtKLtmwuEqV3z7GB20srthTFNyVUaJMxQVpTMZ\/qoIK0j3jP9Qxn2XLkpiRd1ZJoDUpDJiWsMU4iEq5mDZRNnISOLJkOUK+8VWLP7yzdsj6HGV+mDoqmXkYhgQst\/ZWQ0azGuBJlQ9WyaUDKi4bbDrIFp+5ov3VjqYL5GvSeGzTdZVOQOokw0\/9BnF+0ZZOKqYRJh+VSjdv5VLTGekIlOM68pE7EFAauU2xoS0txReXjS4d\/ub8WPBmHs+alI5+kl1Q8t8Em+ek0Wk98R3F1Srb0gDCDKxLXARCJKSV8F+FYru9YDbhcLFCpixKtmNUqZ9XqrM\/adu9wuw9Hffk3vSg56yrhDAalZ72WtBCT6fZ7LaEQsS2nP6cq5FINUrXbmQ9sLl0c8rzCtHXXyVl5duaZCU11f4DWV5TddUWy7heWg79K25sKNmywk\/Z6Nt21bw1Y15YV0IMSTaBuL9m8Nid0hnmtNXUnb863z6O0lN7QtbrLsWWzsvmdU7DxUTt5r557sM2XraWPFETtTZX6wjx9CNxZWv4Ni+9NKlSO6vqzXyjc+E0Ft1xOS25DYjSOEGvpBmv\/63XgWTprD7RdzS59Omw0qIQrrxFZ3ypfbfEdY4w4f3TW9LWNaxQWIykjRvsj5YXzfcy3d\/6gqTcnT8J5+orVS43eI3XuHfUnBwkx2h99ojDDxzZlULcvx65OnCr1I7lXJJumwieeKorakgDJ3DJ1g6amSpR\/65qN1gtHBXTepRuKDfcwR4MWqr3jYK5q5SjgqiZFrTNCVPhX9qni8KbeCzcIYQ9kZ1OfsgcCBORdRHk7dIzKQgUtkwnqBBOX0mT6T67NBB2IpBdvd8leG4R\/b5udVVReWV1TXVlZ7aqprlibYwpzZLi9EEpc1VWVjmqXs0L4vWI6Svq\/cbK\/jJpftN0V+V8oU25phdPlclZWOl3VleVFC8OW\/54NLle4X0qHUK4eFxjhGUXbXNuLudcq68W8tAxoVjsqq6opzcLbDVDf6+1V\/uYqHxSwDpwDB8VZoqaqD4oQ3koBCmVOKGjlhZl5MChh7HQ422CnF\/B+7M9apvBQjJGBDcjQUVSU5ixcDbMiIKkIDqUGA5XwRke0vTTXunqbyyWDjlXjkXw6eF70wJdG\/BCRK5gvmOhS8ddqtViSYUK7kHeqUwZUqxEickWx2laaM8dAiDmdiUYYZ9otSTHb11fAXFQ9SytWwoxARVYSmVAAzVkhB03kP6u0Sh1JTgdjCQIU\/AQtCTFkCqYE5qimumK9nf0pEBBNl+g7XEIQ5wXSJFpo+f9M0RJZNZpBxS\/GtgjqI6ssypVM2j8GU2LPj31ohdsEV3UViJDckqgPiqjLpGy8IidUcFWsgaqJo2OWUaMZ8I6B2hy25xF1iDL1Wmoe24UMTHX91Vkt1rLNBfUV9FzKmIaai0UwLpijlZn2x8V\/CQ3zP+Q9DyZ5ecToAVQQooSZm+JoqZOYygiGDliHwA5LuCVyk5XMhAJHkx4mlAE9KiAyRCdL0OhYsdFaEE0LqY\/jclVXg1tSI7U\/QDssIZAMBxlX8qUHqoiuCCw6dLlRcACglhBsIIp8mY4IM1UNqQXlUicTrejVipAFBdQZg2aUmpznGJXXaV0FFtmHqiJTuyq4N6xidBT4PEDmRFvOaA2K2G1uG7eD8lCLCsNcWSq6jungo4rzG90PBU0AihelmHLWwroP3mAlm4iiLPGEa7a1tIJ6s5XUIGwvE\/VXFShKEaaVsuWoAmoVawtLRUc0MnG0Gn2LBgeWM+hf6nLEdCGaX+MiiVe8rUz9wIX2gO9EEbCsoPrBNwhVmwRhiJWoiD5CB3xxB4ffQTc4cv8QisksvgNysk2HfMqiJVyUsRQLU9Rq6o7WVG2WbD0oRfaW8QA5wMamKth8VTmpMBV8AzYUoidjtDIhd4W3V2CaNjtgb0WltLK8YPVG0XeV2wQgC+cBURuxyDaIFYcjkHy+twLJjzJoRE2VoO0tzKnj6FVLtIxEVDUW\/6StnIHPhcJuNHbgEQYU+Vf1qWAiQIj4iMA0STdZMUZANjTRIIDBgUmXeSCAlCRIu6gG\/8Eq3cdFj1EUKjguF80REIswozl2EuM\/iwR1SCn0MykhZVJ6je40xWAyGaIz+bXBaJqtUsQrqMWpJvqotlppUvmG2dL\/Y+s\/35sR\/uaqIjmDUY1zjUFpQCHpBDihz3dJciLJYLd30Faw1BjJiUqlSkcRVaZ5CbypjUizXaRQY+DjMF9EJ82YaqH3G93uA56rBCgYmfQFf9vvTzGnmyNDkacMxjm8ojwbrkYPGhDBoBMBQFvNkhD1OdImriG02g01SuUi19\/Tl5FXoP47R+qWRGtQ+sarZQ3imji1Eap3nWJQNfVqxOLmy8FUrR5b7Von1fOOIAGuuGW72tvvJ+Z5c1WIqI+LgJQwS6HUMtjjHcgtkNzFFiupJ4AeZ0msopPbVA3znvSEikzMxIQWYprjTTEk4pwYDKma1FihzqVHywFgdJKMEhuRtBMN1ZBW00zHaqhmdUL6O88FLGqWM1aDItQ0LGqkkp6UAcyZohMNSCqvRFpAGWareBEKrGjQUS9KGGGFjjFLDQHQSv3zJxABOYmy80JB+CNV3Z6rSri6AISpRn+mGIw6rJPQKtWouvsQakg+9IkcQKdKEyBSViU430zIAoe5AoLamIcrRn+qAh5dUXYN3UX4j7cEQ+XkeCPAnKoHEs2PRhdARqNURkjfhSrBxKVUX4ejqaVoy0dD8MZpm1lS+Uyh6g558nAw5pc718X7sZXJY2869GywLbX+h\/forsbWHl9gaLDvdGPdm33pK1YntqWZDiNFHqcCAplrKp9ZOQVNyZibuKkAtoSHVNvShde9b9Q1\/tLrGwoM9rU37jrWN69wtcZpsqS1\/qRxWXn1I5JHkfW3lNYcA25n+oRK4ZqeaVx6Epi3nnZPIGvZ8iloORMYBFZFBBCBGwYBXIKn9FTjgciUnh5kbnIQSLGWfr+i9E6\/55\/q3Tvq9r\/DfsKmeDQ\/9To548BeJxUB7HyqI2Bd+1zFGqu\/o6l+h7vulRb++zKWqboqTi9up\/rcT03+cOnROy+h7s4+09IEH7zSSxzrIQKTh4DBBC99t\/snj8lJ6xnRmTToZ3zHU9X1m\/HA4wCnOAKGdPvaZ7ZXVbtcrmqH9Cdspjjfk8gedo0ITDsEDOl5pYKeO6sq1ou\/LzM1BzK9uJ2aGE55rgy49OiZI0POI5XbvzXqB6\/0dIV1EIGJRGBxaWVlac5E9jid+sqh6CyeThwjr9MFATwQmS4zhXxONQSQH0QAEUAEEAFEABFABBABRAARQAQQgWmMAB6ITOPJm1jWsTdEABFABBABRAARQAQQAUQAEUAEEAFEYOYggAcianOJ+YgAIoAIIAKIACKACCACiAAigAggAogAIjBjERAPRGbsCHFgiAAigAggAogAIoAIIAKIACKACCACiAAiICKACY4AHohwHDBGBBABRAARQAQQAUQAEUAEEAFEABGYmQjgqBABRQTwQEQRFsxEBBABRGAMEAiFxoAIkkAEEAFEYAwQCCkaJOVc2p16CS3FNyKACEwFBDT1NCEGQ1cDQXRaEoIMK88UBPBAZKbMJI4DEUAEEkJgsK3e7T56LqbNtUBgSBqSdw\/633Q7q+vbhmK6mFEZ3UcVYZxRY8TBIAIaCAy27XW7j3Rr1JioIspJ\/alB5e6CnoZq5w+O9NHSc1RrGcdBzz6n8wdHWS4tibyl9SO5mEIEpjQCNxxzY6WnV71HdzqdLndTrFMkw1TTyMhqjuHFpHQ6hvwjqWmAAB6ITINJQhYRAURg7BEYGQ7AK+ZmyGBrvbu2tu6Hu3cLodmbbN8ZdxfY77VlmZJtP3ntOl9xOF7p1Nd\/CFAMxMCory3WQgRmAgLDnwUCn08JHaCcDKtAasy2L8uxL7bQ4ojWGrOX5ufk8VwiU3xpfdoG31MRAeTpRkdgjPR0sO2Y59qSDdWuDffEQVTLyMRpmnyxtFOZmUqeJLZEBGQI4IGIDA68QAQQgWmBAPjzWk9uhIKBIeXy0NVA4Fq8IZoLnqoUX6U58urQdXwKrInxSwWla\/Mtcisbuipn7BqcJ6hupbT6ih2jOimtUcfSYcwrRCMhNVQVKmMWIjAdENBSDeCfynwgNAKpmACKo+8gkHZxVVnHaZGmOQILILcXETY0imglynlUU7PtwbLVi4y0VPI231NS9g1rdC6toFRfgSytSkgoOKQCFC8foxjJIAJTFgFQSblvQJUiSgkF5lX1iGpSQNOwxPSipKdABjwLRdui0rXvkp\/clmU1CAwm\/zESCsr6pSAomlAYiDI4SfU9ttSSYgEbTW8E5K769B4Lco8IIAIzHwH\/mcZap8Ppdtc4HTV7W\/pOH3A4alsu0YEPHq917DzaeqTW6axx76hxVtXUn\/LRAvYO9rXUuxxOl9td7XDubPRcVt6isLqxUSd0c+DtNkrBzSkc9V5l1XqanI7drX6W5tH5cM4HtBF70GKwZaej9vVW9khqUzerFrrQ2uB2OqqBHB1Pw\/G+IMsnRL0vQqLH6HQfeM9PrvYd2xMm5apvvRAZGsBVB+Plo3Y3tIQ7iaYTwYqy2tRDSE+TA178OZERv+dQrbPKKaB6vK\/9FYdjZ4vKo\/nCMPADEZjKCEQbhHPNtQ7HgQ8Yy0xzm0\/V1zhB5t0g+bVHvGH1JKBuLXtrHGBkQH+dtY1nBiL6xlqLUaQLF6hnXeOZiJmIFIF6gjmS9M50s51Xlr0AABAASURBVNnbdbSu2sENnbPuaHdApEpAqdVsIK00cqX7SJ2Tcg420Fl3pDsgHOhQ1a49Hq21rDvQZVoqV3yaE6l\/ta8FDJZgBJx1hzx+gSzxAVBVzpodFCj3K+1iPmUG34jADEegky7zUt9gz7G+q8T\/3gE3OCI7wFFx1kZ0kFkPFT2KMSzdzTsd4Uc1Y3rZGfZAiFRPNaoRor6Od77iEHWf2sBLLbVht0qYPWYSmTMjZER\/sArcZu5qZUaGdlcHxlOwDOB9cJeJkGDPUdGCORlclJquTulgRVY5OMrUKEV8IwIJIIAHIgmAhVURAURgchEIfnBg15Fe030btle7XNVV5Xf3H3xL\/o2Wy56zhpIKKK2pfuYBy8DbDU3nGcsXW17a1+q\/o\/QZp8tVU13xgKnttTY\/K9EfeTu8tv8GpF3V2zfYUzwHfswoLMq3z\/F5OpgHwGh53+8O3WZbamYXksjfcWpg4dpnnl1HHzm51LJrb0tgcdl2xs8zD2YOnmp46Xjk+Ea5L05NMsbNy43eN+pr9xwcuHdzdY3L5XymxDLQ8uMjXrZXoXC93p\/xAMUDmC77cqh930v88IhSktCRYJVetM21bhEhi9a54PW4DbyXzoO7jn5sKnicof5cue3Tg8c4qpQKvhGBMUNg4gjFNwhez8e28irQgertj9sN7x9oOMUMxoivZW9D679ll25hpmBrielUEzMEMbxfBJvTTvI2VIJigjkqNvUe2aXXHPnbGt8aLtjEuthSar3mafzhsX5RqTVtoP\/dxmPDBZuBc+h0jTX4fuPuN\/tjmIvNiFV8SR026vbrS8sqARBX9dMlGReO7jrUTQ+JLhw78Lbfup4WVFcUpfcda\/wlA0rSGpOIwMxGQLJel2Zfbm\/YU9tw2lxKF15uPRoPvMuUQkOPWJG2YZH0siHigcQgq1ItqLGO2x6PLPpxvzIT06GY4W07bSp6omJzYbrgNlzIKNnKjNj2sqXX2xv2wsErlHgOHvSkFVJ0XJUblgTb9x+Te3FE4xVjpoKjoabRERbdcAjggcgNN+U4YERg2iIweOqEN3TPus3FVrOBEIPRsrx8Y55JNpxU2+oHWWmKwbJ8Tf68YF8P3Qx0nmgdnF+0+VG7JZWQFIN5UclTD2TJGkov\/G0vuYVXveQXCi0Fa\/MXQMfEYLaWrLKST73srnGmbbHJf7addgNERjrf6wpl5dnlbEEBMQDnD9osc4xAwtvaBvxsXGM1M34seWWbV1lgeJ1szwO1VfqCEkIkY8z8xtp8U8BvLnp0ucWQAkWW\/G+tsAS7Oz+GmkDPOyuvrCwvHXokwHTxuhXzB9t+FXY+JHSkWEFLWbh0qqUnZPuLzUWLGOqzLfkbN+bHDk\/WBi90IYCVJgsBHQbBsuJb+dRcgOYsKlm5kPjOM3XvAlNiKXqyzM5NwTxryabViqaEdnFb0cZiqwkUk5qjR9etzA4NUjtBi7TN0YhlpdjFAnvZk0WWofaWM3D+QJU6jg2cv1I0dJY8algCHS0eaDoarOmos4q+W2Rlim8AltbYQudaPUOEDA8PE5M5nRYY0gvWPl667Euj6QnbIgLTDwHJem1fV5xF\/CFraQlzRKizsTrX4PuQPeOloUe0KI5hkfQi9UCi4VKuNhHrOOU\/PyvdBF4N7W5W\/iNl9rD3UfTICstg20m4lfKHYHDEYE6n7gQxWVevLyu525S8fRpbatFY4vUNhAAs1DfQaHGoiAAiMJ0R8F28TLLvskqHkHkH+41AMctknhuxaukZ6SQwBHdmBgcGiXlhjlmsRojxjkzppaSEkFuzVxTdfz8LBXdSR5+XmuZJWsxfYCb+wBAtybwv3zLU3fkJTQfPeLwGW8FSha\/kA2u0Bn0P9n8aiuLHvHiheWQA+KTlhKj1RUuBUGSMmQsWEPNtmZH+zGYTCQWpf0HhIr62xkON4dDsvUpCn\/YLT7PI6IhY0R5k70sX\/STbukiSl5KZuUByqTuJFRGBqYGAHoNgMpsjzFrmm8lQIEDI4O8HyDy5KZmdrWRKWBdZ2RHFJEbr\/WVl92UCDVDzKPWPNkdRXZhzFs4jfj\/0T5Va2wZGUWaGxe9nlioyngRTdNSpge6joiVpbDztI8TXf4GQOwuKbr\/S+qKzruFYa4\/PdIfdniUBLsGOsDoiMB0RMEl8A2OmxUwsC26PjGMurMnBYViTNfSIFkVp\/exow2KS9EIkHkikJ5ZSrjYR67jEZtLuiO\/XEovxtjdAQj7wPubY71+S1n2oxr2nseVM33A6\/aVniZ1kY9AfjS01\/f1izRmHQMStnnFDwwEhAojATETgerKDGtHdMnVBzlK7nYWcBTpWanP+sjsDnnYvIcGurj7TvflWZlmTZTSxdrOgr5RZam1MX1wofS3989LSB+3parXV86+PqJdhCSIwHRHQbxCiRjcS0m1KolpKLpPoXWySePeKP2oo4UZH8pa52VJTck9BydqywixCUiwFT1VVP122ZL6\/+\/V6Z3Vdy0Ud1LAKIjBTEUgxwMjougwfsUFNj6DmmBgWoKMeJnYdN2VILcbCpfevLV1zL3gfRutfVFZv33j\/nWn9p\/bXVtc0fgCHRepMxykZW2pxOsPiGYwAuNIzeHQ4NEQAEZg4BMa\/J\/pgQu+5Tuni6f2oV0e\/6Zm3GfznuoUnI1gD\/7nzfpYYi8hoX2oN9XR6\/Z73Pjbl3As3gbWpMn7Od0sZoPykZmaCt6DdNIFSClcgJYOf7LA413ILmTWLumsJkLk900J6z3VJUB\/xevsSIIBVEYEphgBTwKQMQnpmpsHf3c1+xVkYlL\/7\/GUhKfmgj1z5+3olahP0nmhsog9W6Oj9cpR1oF1kWCyEUKXWtoH+qKZg6FIyLPMlrCWepKP+\/LrxLuGYmBqTO+YSYgBbErzY7enyhRZYCx\/c8ExlVekdg60nOhPvAVsgAjMfAQ09okW6DEuyKCW0jqebM4j\/4u8iffkvByIXelK0u4DhjyUW4y5LGpllAO\/D3+c50xeYk2UvLi2vqN68LK37BPtmcnKdqlHTwyTWQQQkCKRI0phEBBCBBBDAqhOOgDm\/MMfQ88b+415\/iJCQ33u8vqkLUvEZsRYWpPtbGw56fNcIGQn5OhrrW33xm+mvkbvMRjqb97f7FuQXSJ6VVSNA+bnUUi\/l5x1f+n0rx\/TREgrX9Y79B0776P1hgOuNl3a\/1jZgjHwJSI09+nMkQwO+oUDgaogAmcUG78\/2t\/QIqLfsbepUQt136kDDW+x3FtToYj4iMDUQoAqYnEFYtJKakv2NnotUB0IXPY0vn\/QpeVK24sL0T4+99AYzVmBzTh9sOtlL5sGhBonfe4rv5MvSLlp86YX35wJ2oI3xbOClk9GGZcX9NiUOgVxUkCm+tAxGPa+v+UfH2GBI6GJ7w56G5p6QKZUYPz\/ffKihqYMaB3LNd9FPDEYjIUHvkYYDHdIjaCk5TCMCNyQC6npEoAh8FB2GJUngwHLoW8cp\/ZTcxXcS71sN7dTKhYJ9rU1tCfpLtLvr7a8eYBSos3Zs7+7GUwNpcwhJ8Z15vWH\/8X7ulvjgqMWYBiaD6O5UZqZUqKE3QucR34kgkJJIZax7QyOAg0cEJh0BY27ZlrXZw6cP1DodDmfd0QvWjWtkPymiyuH8oqeeKEy\/cGx3tcNR5aw\/lVbyaIHqN90vt9Y5xNcBXbc7U6z5S02Dg\/6sZfmqZKXMzS\/asqlI5Gf3WwOZayq23D+Wz4dAbwBXxSO5V47vdlYBXLWN50yFTzxVpONecc6q1Vmfte3e4XYf7ibEmLN+S+mdw20HBdT7rRtLFwL5qBDo6\/b29fQneCMpigheIgITgkCUQXhX0yDIOEov2lReOK\/\/2C6wQQ7nS61pD5QpmxLWhelcI1WbKufu44Hc9RXruOKwIlH962N7NxeUPZDWtpd1seto738pLN9UZGH+Gii1tg0031dWktZWX0MN3e43es0ryp8qpqcwskGoXMgVX1opvWjL5pW3drPBOJx7mgN3lm5Zn0O3MXeWln\/D4nuTjtJRXX\/2C4Ubvwk22Xeuu8\/bk+AmStohphGBGYiAuh4RuWHZ26ZqWJKERb6O72zqU17HOXWj\/ZHywvk+ZuWcP2jqzckDpeZFOmPorqLsrivNe5gRq23sNlEjRl2cOQUbH7WT9+q5W9J82Vr6SAG7S6O3U5mZUqaG3ojOacJqEQTYAhu5xFQEAUwhAojAFETAvLSswumqdlRW11RXlhdm5m1wubbzTX568XbXtiK64ob5tj3ucj1u41fGrKLyymqXs7Kq2lW9rTRn4ertLlfsP8xRIvSfJcX3BtbeBt3IKs8v2h7ul9PPfJD+8WR5Ht0j8BxyD23EmtP\/itteLGWNGG4vpPxUV1U6gKsK4b9gaEutvih7MWOUU5Y1N+WWAlww6koArbK8KEtgT5GOiBVZUEB5Aww4eilm+\/oKALwKAATUV2baAViBDbE7U8FTrij86WjwjQhMSQRkBqFCbhAimiuwLtOX2cyUgP0Bza3eXpprXb0tYmeEBuxD7AK0z+WsKM1lbr+8iJqjqN5pBcNcprnM0LmqNhVlzaa5\/K1uA5md+YY1Z21YW2uqNheHdR52XNtcgq2QDFA2NJniM2qi1TJkCgbr2SowBRXr7eaw\/2hZQa0FsApjCbOaVVqljAkfAsaIwExBQFwBwwOivgF3G4QcmYqp6xGRGhZqLqSGRbEX7vlI9VSjGiHSdRwsw8rMWcDgPDP3S6TOEmRTZjZVuWqqq5wuWPMLvqHlzND6EpNCL+GdYmKGCJpXgsWg3kfYiBkXSdySbWX2eVCbBUBAT6cyM0WUqKE3wvDEKBEEwgsaIYm0wrqIACKACEwmAobZJvrYZBIspJqMhiSajVsTg9E0e\/wZSjWZUkc\/BOB1\/FkdPZtIARHQj0DSBiHFoFdzNbQvXu8ahk6jiI1+nLTVYJyjbEGBH+UCxg1GiAAiIEFAVY+IfsMiIacj6WvZ5a57q5+QsGUY6e+\/SEzzMrTaphiMo\/YcDCYVb03NMCbXqRo1reFhGUMAI4ZACosxQgQQAUQAEUAEEAFEABFABBABRAARmGEIWOz3mv3v7q9\/09M3GAh82nls7\/72P1hXr4r7G\/AzDAdCcECIgBICeCCihArmIQKIACKACCACiAAiMPEIpJlMX0ib+G6xR0QAEZiBCISHZL5v8\/aNK9L6mve\/6HbvfcM7K39DxQZb+Gss4Vr4iQjcoAhM0IHIZ8PXfn85cOHSEAZEABEYEwRAof796h9uULuFw0YEEAFEYIYikL5ic+WmAv7F\/hk6RBwWIjBuCCBhdQRMCws3bK2qrnG5qqu2lxdZIz9qpN4GSxCBGwOBiTgQgdOQq8PXQv8xcmNAiqNEBCYCgdB\/\/CeoFZ6JTATW2AcigAggAogAIjAFEUCWEAFEABFABEaNwEQciHw+fO16aOQ\/\/3PUzCIBRAARCCPwn\/\/5n6H\/GPkiILRrAAAQAElEQVT86rVwBn4iAogAIoAIIAIzGgEcHCKACCACiAAiMNYITMSByLXr\/zGCxyFjPXNIDxEArYIzEcQBEUAEEAFEYGYigKNCBBABRAARQAQQgXFGYCIORMZ5CEgeEUAEEAFEABFABKY\/AjgCRAARQAQQAUQAEUAEJhaByTwQSbnppptvTjFgmGwEboaZuOmmWMGDPCjCCZp0BEBNYIpiJwhzEAFEYHojgNwjAogAIoAIIAKIACKACEwqApN5IHJLquGPbr3F\/Edpc+fMxjBZCAD+X5h9yyyDgiQYbr751rRUqDBZvGG\/gADgD2oCyjKphgI7RwTGAgGkgQggAogAIoAIIAKIACKACEwlBBS2wRPDXtots9KMswyGm2+6SeHZhInhAXsBBG666abUWQaYjtRZN8OlGOBytnEW7MOhgpiJiYlHAPAHNQFlmW1MRVWZePxH1SM2RgQQAUQAEUAEEAFEABFABBCBKYzA5ByI3HQTMd5iuDkFPqcwNjcMazANsww3pxpkByKQA\/vwm27CPfjkywHMwc03p4DK3JQCycnnR5UDLEAEEAFEABFABBABRAARQAQQAURg+iAwCQcisMWGs5CbU1Juugl3d1NFUmA2IEi5gUsI0hxMRyMwgdegKjAdN6eA1kxgr9gVIoAIIAKIACKACCACiAAigAggAjMXgUk4ECHkJtjWEdjhEXxNKQRkU3ITuemmKO7wcrIRSKH6itMy2dOA\/SMCiAAigAggAogAIoAIIAKIwIxAgG6wZsRAxmEQSBIRQAQQAUQAEUAEEAFEABFABBABRAARQARmKAKSA5EZOkIcFiKACCACiAAigAggAogAIoAIIAKIACKACEgQwCRFAA9EKAr4RgQQAUQAEUAEEAFEABFABBABRAARmLkI4MgQAQUE8EBEARTMQgQQAUQAEUAEEAFEABFABBABRGA6I4C8IwKIQHwE8EAkPkZYAxFABBABRAARQAQQAUQAEUAEpjYCyB0igAggAgkjgAciCUOGDRABRAARQAQQAUQAEUAEEIHJRgD7RwQQgf8\/e28DH1V17vvvmQwhA47c4J+osU37J63BEhqsoSUWWuUUPK1VjuJtLVIt10vbY71cS3ssnuhJqeYUOZZ6uWq1HP\/4gtZ6RIsetYYWqVChTaxQQyUew6mxjRqu5OIIE5LJ8P+t\/exZs2fPa5LJvP7yebLyrLXXXutZ37WfZ6+95iUkQAJjJcANkbES5PkkQAIkQAIkQAIkQAIkQAIkMP4E2AMJkECGCXBDJMNA2RwJkAAJkAAJkAAJkAAJkEAmCLANEiABEhhfAtwQGV++bJ0ESIAESIAESIAESIAE0iPAWiRAAiRAAlklwA2RrOJmZyRAAiRAAiRAAiRAAmEC\/EsCJEACJEACuSTADZFc0mffJEACJEACJEACpUSAYyUBEiABEiABEsgjAtwQyaPJoCkkQALJCRwNDL7zrv\/Nd45QSIAEMkXg7Xff9x87ntz1xnA0T099PzD4NoMJYykJZI4AHOo9RpLM8cxUhGc7JFBYBHISSbghkqdrNZpFAiTgIIAHGEhw+ISjnFkSyCcChWdLcHj42MBQST3JIJIcCwwGh0OFN1u0mATylUBw+ATcipEkX+eHdpFAYRDISSThhkhhXBy0kgRI4CgeYIKh0AluiOTVtUBjCp4AXGooOHz02GDBjyTtASCYDAUZS9LmxYokkAaBEydOBIdDjCRpoGIVEiCBhARyEkm4IZJwPniABEggrwgMDg2H8OiWY5vYPQkUIQE4Fp5kinBgCYbEYJIADItJYEwEGEnGhI8nkwAJmASyH0m4IWKCZ0ICJBCfAEtJgARIgARIgARIgARIgARIoDgJcEOkOOeVoxotAZ5HAiRAAiRQogTcLldZmdtDyTWBMsyEyxV7FaIMhzhBOScAN8EUxU4QS4QA4ABRzqeJBiBcuFyMJPl7U4ObwFnEa3KbckMkt\/xz3jsNIIFiIID7nSmuEvsxXHFu9FETigquUvyJghCbcbkUOlfJ\/ahRx9JgiSYwsdxz8uSJlSd7p06ZRMkVAfA\/adLECZ44C1RPWdlkbzkq5Mo29gsC4A83gbNox6HiIAA4QARQwEXJFQHwZyTJFfx0+sUEwU3gLA73yUk2zv0mJ3Zkq1P2QwIkUGwEJnjKcM+rPHnSKVNKS6aePMk3uWJCvMcGmeOKiROmnOQtNSwY73\/xeSdVlLtcLuHgSMvc7slePPSW1tUCLFignDy5Ik8WH45JyYesd+IEL\/zJU+Zyxb9y8sHIUrDB5XKVT\/BgOsonlNnHi+ykigm4gFHBXk49ywTA3+Mpg7OoMJvlvguhO1y6gANEAFUI9hatjeDPSJLPs4sJgpvAWbIQSVJy4IZISkSsQAIkkL8EPGVutUSegKDqdrtdJSVlZW48IWAzCBBiH+DUmmziBGyXlBQTGaynrMw70TPZiz0R56XrdrlOmlReUY4qpXfBuNUF452oHimdXEo+73IZFRM9Zbg+Sh5FPgDAdEzwlMFN7cagBIHe5YqNdvZa1LNBAHOAGxBcxuWGmo0eC6UPXJ7AwkiSJ\/OF6UDcKMFIkif8U5qB8JEnkYQbIiknixVIgATylwBeLcQSGY\/B+WvieFrmdrnwDAcIjlVpmduNNRkOuVy43YynBXnZNgaNW+zECWWesjLo2kaXyzVhQhmWR26A06WlpCgCHjf2g0pp0KnH6nIZnjJ3mRuXRSn6S2pAuaiB2YDYe0YWYi+hnkMCcBVMR5kbXpNDK\/Kra0aSXM1Hkn5xhULsFZCF2Euo55BAnkQSbojk8Bpg1yRAAmMigDBaPqHkX4nBQ76nzOUCDAsmVNzsy9ylvk4FAI\/H7TJcFhfDQAa7JC6XS5eUoOJyqU00V0kziJ12F64W25USW4ElOSEQdZm6DF62OZmFZJ261WOEK1mN0jqWpUhSWlAzMNqoS9TFSJIBpBluIueRREWyDI+JzZEACZBAdgi4DLfbXeJrZJeh7u1IjcgP1mSGEV1klORPGS4OGweXy1VWVuoXjLoQXDYoKs9fEiABEshfArSMBEiABMaVADdExhUvGycBEiABEiABEiABEiCBdAmwHgmQAAmQQDYJcEMkm7TZFwmQAAmQAAmQAAmQQIQANRIgARIgARLIIQFuiOQQPrsmARIgARIgARIoLQIcLQmQAAmQAAmQQP4Q4IZI\/swFLSEBEiABEiCBYiPA8ZAACZAACZAACZBA3hLghkjeTg0NIwESIAESKDwCtJgESIAESIAESIAESKBQCHBDpFBminaSAAmQQD4SoE0kQAIkQAIkQAIkQAIkUKAEuCFSoBNHs0mABHJDgL2SAAmQAAmQAAmQAAmQAAkUBwFuiBTHPHIUJDBeBNguCZAACZAACZAACZAACZAACRQlAW6IFOW0clCjJ8AzSYAESIAESIAESIAESIAESIAESoEAN0RKYZaTjZHHSIAESIAESIAESIAESIAESIAESKAECZTchkgJzjGHTAIkQAIkQAIkQAIkQAIkQAIkQAIlRyDVgLkhkooQj5MACZAACZAACZAACZAACZAACZBA\/hOghSMkwA2REQJjdRIgARIgARIgARIgARIgARIggXwgQBtIYGwEuCEyNn48mwRIgARIgARIgARIgARIgASyQ4C9kAAJZJQAN0QyipONkQAJkAAJkAAJkAAJkAAJZIoA2yEBEiCB8STADZHxpMu2SYAESIAESIAESIAESCB9AqxJAiRAAiSQRQLcEMkibHZFAiRAAiRAAiRAAiRgJ0CdBEiABEiABHJHgBsiuWPPnkmABEiABEiABEqNAMdLAiRAAiRAAiSQNwS4IZI3U0FDSIAESIAESKD4CHBEJEACJEACJEACJJCvBLghkq8zQ7tIgARIgAQKkQBtJgESIAESIAESIAESKBAC3BApkImimSRAAiSQnwRoFQmQAAmQAAmQAAmQAAkUJgFuiBTmvNFqEiCBXBFgvyRAAiRAAiRAAiRAAiRAAkVBgBsiRTGNHAQJjB8BtkwCJEACJEACJEACJEACJEACxUiAGyLFOKsc01gI8FwSIAESIAESIAESIAESIAESIIESIMANkRKY5ORD5FESIAESIAESIAESIAESIAESIAESKD0CpbchUnpzzBGTAAmQAAmQAAmQAAmQAAmQAAmQQOkRSDFiboikAMTDJEACJEACJEACJEACJEACJEACJFAIBGjjyAhwQ2RkvFibBEiABEiABEiABEiABEiABEggPwjQChIYEwFuiIwJH08mARIgARIgARIgARIgARIggWwRYD8kQAKZJMANkUzSZFskQAIkQAIkQAIkQAIkQAKZI8CWSIAESGAcCXBDZBzhsmkSIAESIAESIAESIAESGAkB1iUBEiABEsgeAW6IZI81eyIBEiABEiABEiABEogmwBwJkAAJkAAJ5IwAN0Ryhp4dkwAJkAAJkAAJlB4BjpgESIAESIAESCBfCHBDJF9mgnaQAAmQAAmQQDES4JhIgARIgARIgARIIE8JcEMkTyeGZpEACZAACRQmAVpNAiRAAiRAAiRAAiRQGAS4IVIY80QrSYAESCBfCdAuEiABEiABEiABEiABEihIAtwQKchpo9EkQAK5I8CeSYAESIAESIAESIAESIAEioEAN0SKYRY5BhIYTwJsmwRIgARIgARIgARIgARIgASKkAA3RIpwUjmksRHg2SRAAiRAAiRAAiRAAiRAAiRAAsVPgBsixT\/HqUbI4yRAAiRAAiRAAiRAAiRAAiRAAiRQcgRKcEOk5OaYAyYBEiABEiABEiABEiABEiABEiCBEiSQfMjcEEnOh0dJgARIgARIgARIgARIgARIgARIoDAI0MoREeCGyIhwsTIJkAAJkAAJkAAJkAAJkAAJkEC+EKAdJDAWAtwQGQs9nksCJEACJEACJEACJEACJEAC2SPAnkiABDJIgBsiGYTJpkiABEiABEiABEiABEiABDJJgG2RAAmQwPgR4IbI+LFlyyRAAiRAAiRAAiRAAiQwMgKsTQIkQAIkkDUC3BDJGmp2RAIkQAIkQAIkQAIk4CTAPAmQAAmQAAnkigA3RHJFnv2SAAmQAAmQAAmUIgGOmQRIgARIgARIIE8IcEMkTyaCZpAACZAACZBAcRLgqEiABEiABEiABEggPwlwQyQ\/54VWkQAJkAAJFCoB2k0CJEACJEACJEACJFAQBLghUhDTRCNJgARIIH8J0DISIAESIAESIAESIAESKEQC3BApxFmjzSRAArkkwL5JgARIgARIgARIgARIgASKgAA3RIpgEjkEEhhfAmydBEiABEiABEiABEiABEiABIqPADdEim9OOaKxEuD5JEACJEACJEACJEACJEACJEACRU+AGyJFP8WpB8gaJEACJEACJEACJEACJEACJEACJFBqBEpxQ6TU5pjjJQESIAESIAESIAESIAESIAESIIFSJJB0zNwQSYqHAKaxeAAAEABJREFUB0mABEiABEiABEiABEiABEiABEigUAjQzpEQ4IbISGixLgmQAAmQAAmQAAmQAAmQAAmQQP4QoCUkMAYC3BAZAzyeSgIkQAIkQAIkQAIkQAIkQALZJMC+SIAEMkeAGyKZY8mWSIAESIAESIAESIAESIAEMkuArZEACZDAuBHghsi4oWXDJEACJEACJEACJEACJDBSAqxPAiRAAiSQLQLcEMkWafZDAiRAAiRAAiRAAiQQS4AlJEACJEACJJAjAtwQyRF4dksCJEACJEACJFCaBDhqEiABEiABEiCB\/CDADZH8mAdaQQIkQAIkQALFSoDjIgESIAESIAESIIG8JMANkbycFhpFAiRAAiRQuARoOQmQAAmQAAmQAAmQQCEQyMmGyIlQ6IRxohDwlJaNUVOCGYrKlxaKPB1tKATDOC2AQMkzAjSHBEiABEiABEiABEiABAqQQA42RE6cMILDoWFsikArQGRFaTJmIxQ9HaoE+1ZFOdoCHBR2QTAjptcUoPXFZzJHRAIkQAIkQAIkQAIkQAIkUPgEcrAhAmh49B44jl0RPOUhR8kxAUzH0PDw4NCw3Y6h4HAwOIxD9kLquSKAHUS4zIlcbVHlatjslwRIgARIgARIgARIgARIgATGjUBuNkQwnIHjQ4GBITx1n+AzN3DkTsB\/cCiIuRiM3hBB9tjA0PHBIVTInXU56jmfugV\/uAnmInB8kDuI+TQztIUESIAESIAESIAESIAESKCwCeRsQwSPdscHg\/6jx\/v9gf73jlFyRsAfeP\/Y4FBQfTuF41oODg8fDQxygnI2NeIX\/gDcBM7CnUPH9cksCZAACZAACZAACZAACZAACYyFQM42RGB06MSJ4HAoGAzhaTyrwh5tBMDf\/GYK7FBhTqIET+DDoROowNnJIQHwh5uEMBlRk8MMCZAACZAACZAACZAACZAACZBASgLJKuRyQySZXTxGAiRAAiRAAiRAAiRAAiRAAiRAAiQwMgKsPQIC3BAZASxWJQESIAESIAESIAESIAESIAESyCcCtIUERk+AGyKjZ8czSYAESIAESIAESIAESIAESCC7BNgbCZBAxgjkeEPE5TJc\/Mk9gYTXk4sT5MqHn4QTxAMkQAIkQAIkQAIkUOwEOD4SIAESGC8CudwQmeApO2lSxdSTvadMmUTJFYGpU7wnTZqIuYi9xMrK3N6K8kpOUI6vT++Ukyoqyj2xE8QSEiABEiABEiCBYiTAMZEACZAACWSJQM42RPAEPsk7YWJ5WVmZ2+12UXJFoMztnlju8U70YEbsF12Z24WHcO\/ECZwgd46vTzemxlsxoWLiBPsEUScBEiABEiCBYiHAcZAACZAACZBAbgjkZkPE5TLwEK4etaHlZuDsNULA7XJNmFBWPqEsUmQYHo8qwbaIy15KPRcEXC6Xp6ysYqIHSi76Z58kQAIkQAKZJcDWSIAESIAESIAE8oKAO1dW4PHb5eazdq7wO\/stc7vLoqcDWbeLE+QElas8psJT5i4rc7k4J7maA\/ZLAiQwegI8kwRIgARIgARIgATykUCuNkSwGcInu3y7IKIetV0ul+HKNwtL3R7sUhmcFYM\/JJD\/BGghCZAACZAACZAACZBAARDI1YZIAaChiSRAAiRAAukRYC0SIAESIAESIAESIAESKDwC3BApvDmjxSRAArkmwP5JgARIgARIgARIgARIgAQKngA3RAp+CjkAEhh\/AuyBBEiABEiABEiABEiABEiABIqNADdEim1GOZ5MEGAbJEACJEACJEACJEACJEACJEACRU6AGyJFPsHpDY+1SIAESIAESIAESIAESIAESIAESKC0CJTmhkhpzTFHSwIkQAIkQAIkQAIkQAIkQAIkQAKlSSDJqLkhkgQOD5EACeQ3gRNGKBQ6cSK\/jRxn6zB6EEBq6+dEKGQY0UW2oyWkDkejOXHixPBwCGUlhCDuUIkgLhYWkgAJkAAJkECxEOA40ifADZH0WbEmCZBAfhHAI\/\/gEJ558Te\/DMuqNSdODAWH8aivO8XTLraJ1IN\/aYMBhGAwdMK2M4TM8ZK\/YHCpBNXFoa8XKiCAPUT7lYISSj4QiAphmKGofD4YWPI2qM13W4wteR6MJLm8BBL3HRU5GEkSg8rZkZxHEm6I5Gzu2TEJkMDYCRwfDGI7oGRf9JeHW0A4gWd9G83hUOj4YOmCwZbQ8HBocGg4OIytoggX4BoaGlZconFFahS7pggEQwODwWIf6MjGhwsGm0TD2EKDNrJTWXu8CGA2HIFdlZSq544X5TG0i0dMzIjpNWNopbhORfzIZiQpLnjjNRpcpYwk4wU3E+3mSSThhkgmJpNtkAAJ5IgAFh\/HBoawIzCMdVnohLrzlUw6HDpxfGj4\/WPHAQF3FMcMAEvgOB7\/h0uKiQx2eHh44Hjw\/cAglqcOLKETJ94\/NogLJggwodK6YEIhtUmEqwLDd2BhFpcKrplhPm\/nx6WA6RgaHh4cGrabg63MYHAYh+yF1HNFIDQcgsucyKLL5GqkI+oX1yewMJKMCNr4VcZ0MJKMH96MtJwnkYQbIhmZTTZCAiSQMwJYJWNT4PB7gXePHCspOXzkmP\/owFAwlAj9wPGhI\/6BkmIig+33Dxw7PngCS6F4aIZDofcDx\/tL74J590jgvaMD3A2Jd1GosoHjQ4GBIcSTEwmuHFWJv+NPAPwHh4KYi8HoDRFksc97fHAIFcbfitz3kLcWgD\/cBHMRQJjNWytzZxgjSe7YR\/WMC3WQkSQKSX5lMEH5E0m4IZJfFwetIQESGAUBPL8gsJakpKBVkkxk0MnI8IJJRqdUj50wDOwW+Y8e7\/cH+t87RskygUh3\/sD7x\/AgE2erNzg8fDQwyAmKsMrJheoPwE3gLAikpRotko2bkSTH16d2CkYSjSI\/lXyKJNwQSRbUeIwESIAESIAESKBECIROnAgOh4LB0ND4C7tIRAD8h0OhE\/GetlE2HDqBConOZXkWCIA\/3AQzVCJhYRTDBBwgAqgsTAe7SEQA\/IcZSYL5ezvDBMFN4CyjcLGMn8INkYwjZYMkQAIkQAIkQAJRBJghARIgARIgARIggTwkwA2RPJwUmkQCJEACJFDYBGg9CZAACZAACZAACZBA\/hPghkj+zxEtJAESIIF8J0D7SIAESIAESIAESIAESKDgCHBDpOCmjAaTAAk4Cbhchiu7P3nTmxOFI583dmbfEAeJqKyLF0wUD2YiBEr42nDl009kRhyaq3Sd15VPP45pYdZJwMUL1ZUPP8550XkXJ8iVDz96QnKscEMkxxPA7kmgIAjks5ETPGUnTZo49WTvKVMmlZRMnTLJN7ligidhGK+YOGGKr6KkmMhgK30V3onluNXHvW7L3O6TvBMrS++COWWK9+TJFRPLPXGxsBAEJqhgUlGCwUQcJ0\/SqVO8COmYC8yIQ8rK3N6K8pJ03ry6u3mnnFRRwUjiuDptWVy9J01iJMnxRctIckq+r4rzKJIkXEnb\/JoqCZQcAQ64UAh4ytyTKibgGQ8LZbfbVVJS5nZNnFCGJwdAcMVMGLB4J06YoLiUFhZcA2VlZd6JnpO82BNxcnG7XCdNKscFA2ioWWLiLp8AMspfnFyYNww8w0zyAg4uH3eJXRj5FSLK3G54KFwYM2K\/MMvcLjyEexH1UKPEor07v8brxtR4KyZUTJxgnyDqQgBwGEny4YotYyTJr7gRe6PJo0jiFu9lWuIEOHwSKFACWDdj8YGn3AK1f4xmu1wuPNgDgssdtSVirgNKF4zLZZSVqYd\/T1kZdCP843K5sEWkuETjCh8v\/r+KgMeNp8riH+oIR+hyGfAjtYEIbYTnsnrGCbhNVy2fUGZv2eMpQwm2RaKCnb0G9WwRcLlw6ymrmOiBkq0+C6MfFyNJPk0UI0k+zUYcW1x5E0nccawrgSIOkQRIoAgIYFmM9THiaRGMZfRDcLnwhG+H4HIZbrdLPTYAkFG6P4Dg8bhdhksjQAavLrtckRJ9qHQUlwtPMm5XSTOIP9sqmLjJJT6c7JeWud1l0dOBrJsXbvZnIkGPmApPmbuszOWi00QjYiSJ5pHjXJnbXeaOukaRdfOqzfG0RLrHVGQvkkS6dWrcEHESYZ4ESKBgCLjw5F\/q9zXc53E7QWpEflxuhPboosjBUtKwVrfthxgul6sMSyGScRFBrBu4EErIJZZLTkuiJsTlchmunJrDzmMIIKAanBXD\/sNIYqeRJ3pU4HC5XKVyzeYJ\/jTMyHkkwao5DTNZhQRIgARIgARIgARIgARIgARIgATykABNIoHREuCGyGjJ8TwSIAESIAESIAESIAESIAESyD4B9kgCJJAhAtwQyRBINkMCJEACJEACJEACJEACJDAeBNgmCZAACYwPAW6IjA9XtkoCJEACJEACJEACJEACoyPAs0iABEiABLJCgBsiWcHMTkiABEiABEiABEiABBIRYDkJkAAJkAAJ5IIAN0RyQZ19kgAJkAAJkAAJlDIBjp0ESIAESIAESCAPCHBDJA8mgSaQAAmQAAmQQHET4OhIgARIgARIgARIIP8IcEMk\/+aEFpEACZAACRQ6AdpPAiRAAiRAAiRAAiSQ9wS4IZL3U0QDSYAESCD\/CdBCEiABEiABEiABEiABEig0AtwQKbQZo70kQAL5QIA2kAAJkAAJkAAJkAAJkAAJFDgBbogU+ATSfBLIDgH2QgIkQAIkQAIkQAIkQAIkQALFRYAbIsU1nxxNpgiwHRIgARIgARIgARIgARIgARIggaImwA2Rop7e9AfHmiRAAiRAAiRAAiRAAiRAAiRAAiRQSgRKdUOklOaYYyUBEiABEiABEiABEiABEiABEiCBUiWQcNzcEEmIhgdIgARIgARIgARIgARIgARIgARIoNAI0N50CXBDJF1SrEcCJEACJEACJEACJEACJEACJJB\/BGgRCYySADdERgmOp5EACZAACZAACZAACZAACZBALgiwTxIggcwQ4IZIZjiyFRIgARIgARIgARIgARIggfEhwFZJgARIYFwIcENkXLCyURIgARIgARIgARIgARIYLQGeRwIkQAIkkA0C3BDJBmX2QQIkQAIkQAIkQAIkkJgAj5AACZAACZBADghwQyQH0NklCZAACZAACZBAaRPg6EmABEiABEiABHJPgBsiuZ8DWkACJEACJEACxU6A4yMBEiABEiABEiCBvCPADZG8mxIaRAIkQAIkUPgEOAISIAESIAESIAESIIF8J8ANkXyfIdpHAiRAAoVAgDaSAAmQAAmQAAmQAAmQQIER4IZIgU0YzSUBEsgPArSCBEiABEiABEiABEiABEigsAlwQ6Sw54\/Wk0C2CLAfEiABEiABEiABEiABEiABEigqAtwQKarp5GAyR4AtkQAJkAAJkAAJkAAJkAAJkAAJFDMBbogU8+yOZGysSwIkQAIkQAIkQAIkQAIkQAIkQAIlRKBkN0RKaI45VBIgARIgARIgAYAlKJcAABAASURBVBIgARIgARIgARIoWQKJBs4NkURkWE4CJEACJEACJEACJEACJEACJEAChUeAFqdJgBsiaYJiNRIgARIgARIgARIgARIgARIggXwkQJtIYHQEuCEyOm48iwRIgARIgARIgARIgARIgARyQ4C9kgAJZIQAN0QygpGNkAAJkAAJkAAJkAAJkAAJjBcBtksCJEAC40GAGyLjQZVtkgAJkAAJkAAJkAAJkMDoCfBMEiABEiCBLBDghkgWILMLEiABEiABEiABEiCBZAR4jARIgARIgASyT4AbItlnzh5JgARIgARIgARKnQDHTwIkQAIkQAIkkHMC3BDJ+RTQABIgARIgARIofgIcIQmQAAmQAAmQAAnkGwFuiOTbjNAeEiABEiCBYiDAMZAACZAACZAACZAACeQ5AW6I5PkE0TwSIAESKAwCtJIESIAESIAESIAESIAECosAN0QKa75oLQmQQL4QoB0kQAIkQAIkQAIkQAIkQAIFTYAbIgU9fTSeBLJHgD2RAAmQAAmQAAmQAAmQAAmQQDER4IZIMc0mx5JJAmyLBEiABEiABEiABEiABEiABEigiAlwQ6SIJ3dkQ2NtEiABEiABEiABEiABEiABEiABEigdAqW7IVI6c8yRkgAJkAAJkAAJkAAJkAAJkAAJkEDpEkgwcm6IJADDYhIgARIgARIgARIgARIgARIgARIoRAK0OT0C3BBJjxNrkQAJkAAJkAAJkAAJkAAJkAAJ5CcBWkUCoyLADZFRYeNJJEACJEACJEACJEACJEACJJArAuyXBEggEwS4IZIJimyDBEiABEiABEiABEiABEhg\/AiwZRIgARIYBwLcEBkHqGySBEiABEiABEiABEiABMZCgOeSAAmQAAmMPwFuiIw\/Y\/ZAAiRAAiRAAiRAAiSQnACPkgAJkAAJkEDWCXBDJOvI2SEJkAAJkAAJkAAJkAAJkAAJkAAJkECuCXBDJNczwP5JgARIgARIoBQIcIwkQAIkQAIkQAIkkGcEuCGSZxNCc0iABEiABIqDAEdBAiRAAiRAAiRAAiSQ3wS4IZLf80PrSIAESKBQCNBOEiABEiABEiABEiABEigoAtwQKajporEkQAL5Q4CWkAAJkAAJkAAJkAAJkAAJFDIBbogU8uzRdhLIJgH2RQIkQAIkQAIkQAIkQAIkQAJFRIAbIkU0mRxKZgmwNRIgARIgARIgARIgARIgARIggeIlwA2R4p3bkY6M9UmABEiABEiABEiABEiABEiABEigZAiU8IZIycwxB0oCJEACJEACJEACJEACJEACJEACJUwg\/tC5IRKfC0tJgARIgARIgARIgARIgARIgARIoDAJ0Oq0CHBDJC1MrEQCJEACJEACJEACJEACJEACJJCvBGgXCYyGADdERkON55AACZAACZAACZAACZAACZBA7giwZxIggQwQ4IZIBiCyCRIgARIgARIgARIgARIggfEkwLZJgARIIPMEuCGSeaZskQRIgARIgARIgARIgATGRoBnkwAJkAAJjDsBboiMO2J2QAIkQAIkQAIkQAIkkIoAj5MACZAACZBAtglwQyTbxNkfCZAACZAACZAACRgGGZAACZAACZAACeSYQM42RE4YJ3I8dHbvJBA1I1EZZ03mc0PghJoV9Zub7tkrCZAACYyJAE8mARIgARIgARIggfwikKsNkRPB4dAJ8\/Euv3iUqjWYC8dsnOD85NnFgDkyvSbPzKI5JEACCQnwAAmQAAmQAAmQAAmQQF4TyM2GCJ69B44HQyG+1p0vFweetAeDw3ZrhoLDwegS+1HqWSYAZxk4Pow9kSz3y+5IYCQEWJcESIAESIAESIAESIAEColAbjZEQGhwaPjowCBSbI4gS8kVATxjYxaODQwhtdswHAoFBoOB40MhzpCdSy50bFdhIgLHBzkVucCfpE8eIgESIAESIAESIAESIAESKGACOdsQkefwo4HB944OHHmfkjMC7x09jlkYGnK++wDP3sFgKDAw5D96nBOUWwLvHzs+gJ2p3L+jqoAjHU0nARIgARIgARIgARIgARIgAQeBnG2IwI5Q6MRQcPj4YJCSWwKYhbhvA8GmVXA4lFvbctp7vlyZg0PDw9wNQcigkAAJkAAJkAAJkAAJkAAJkEDmCGRjQ6R8Qpnb5cqczWxpnAiw2QIjAK\/ylGXDhQuMC80lARIgARIgARIgARIgARIggTQIZONparK3fIInD7dE0sDDKiSQrwRcLhd2QyZPKs9XA2kXCZAACZAACZAACZAACZAACeQLgbh2ZGND5CRv+SRvOR7e4lrAQhIggVEQ8JS54FYnT5o4inN5CgmQAAmQAAmQAAmQAAmQQHET4OjSIZCNDRHYgT2R007xffDUKRQSIIGMEIBDcTcEsYVCAiRAAiRAAiRAAiRAAoZhEAIJjIJAljZERmEZTyEBEiABEiABEiABEiABEiABEohLgIUkQAJjJ8ANkbEzZAskQAIkQAIkQAIkQAIkQALjS4CtkwAJkEDGCXBDJONI2SAJkAAJkAAJkAAJkAAJjJUAzycBEiABEhhvAtwQGW\/CbJ8ESIAESIAESIAESCA1AdYgARIgARIggSwT4IZIloGzOxIgARIgARIgARJQBPhLAiRAAiRAAiSQWwLcEMktf\/ZOAiRAAiRAAqVCgOMkARIgARIgARIggbwiwA2RvJoOGkMCJEACJFA8BDgSEiABEiABEiABEiCBfCbADZF8nh3aRgIkQAKFRIC2kgAJkAAJkAAJkAAJkEABEeCGSAFNFk0lARLILwK0hgRIgARIgARIgARIgARIoHAJcEOkcOeOlpNAtgmwPxIgARIgARIgARIgARIgARIoGgLcECmaqeRAMk+ALeY7gRNGKBQ6cSLfzRxX+zB6EEBq6+VEKGQY0UW2oyWkDkejOXHixPBwCGUlhCDuUIkgLhYWkgAJkAAJkAAJlB4BboiU3pwnHjGPkEBhEcAj\/+BQyT\/gnjgxFBzGo76eOzztYptoGL8ApEtLTwGAYDB0wrYzhMzxoShWpUfFwKUSHOauUAnOPIdMAiRAAiRAAiQQh0BJb4jE4cEiEiCBgiJwfDAYxOMdnnQLyuxMGYvnWoweEE5EExgOhQaOKzB4+s1UXwXUDraEhodD2PsIDmP7I2I4aAwNDWP\/KARwkeIS0hSBYGhgMFhCY057qPa9s7RPYsVxJRC1pxuVGddu2XjaBBBs+XZEBy1GEgeQPMhGBY+oTB4YRxNAIKuRBP3FSLINEZfLpetjFaV1KiRAAsVBwO7XLlfE3wtodNgOODYwdHxIPfzjKbekZHg4NDg0\/P6x44AQe4MPHB+CDAVDodCJUpPg8HDgePBoYNC8xUZdzqETJ94\/NogdgeHhUChUWmQwYlwwuCqwgxYFhRlF4ITyo9grRh3ibw4I4PbkmI0TIZTlwBJ2mYgA5sP0mkTHS7OckSS\/5h1XaalHkvyakDjWYI5yHknib4i4XAX5aBSHMYtIgARGQsDlKjzfHwqqTYH+9469e6S05PB7x\/xHB7DlkWiGB44PHXk\/UGpYMN7\/6w8cGxjELTYuGewLHA0cL8UL5six944OHOfbQ+JdFlgxDxzH9mHs1mK82iwbfwJYHw8Gh+39INRj59teQj2HBLChPHB8+AQ8J4dG5F\/X4DHASJLbeYnunZEkmkfe5fIkksTfEMk7WjSIBEiABBITwBLEFKzNSkoMjDoxFXUEFUqKSHiwauxJfk0soBeuXip\/MeQkVEr90ODQ8NGBQaS4PEqdRU7HD3fELBwbGEJqNwRbmYHBYOD4UIgzZOeSCx0PmZiIwHHsO+ei+\/zuE9dtViNJftPIoXWMJDmEn2bX+RNJ4myIuFzOl4hd5k+aY2M1EiCBQiFgenYcfy8U+2knCZAACWSKgKyejwYG3zs6cOR9Ss4IvHf0OGZhKOb7j7ENEgyGAgND\/qPHOUG5JfD+seMD2JmK\/u6qTHliinby\/jAjSW4vTt07I4lGkbdK\/kQSN\/wWD0USXqCLwpQESKDECehogPig9RJnwuGTAAkUN4FQ6MRQcPj4YJCSWwKYhbhvA8HNCK8o5ta2bPeel1fj4NDwMHdDEkdDRpI8cRNGkjyZiERm5E8kibxDBLcZ7dp2HY9DupwKCZBA8RGw+7jd9+16pkZt72ukbZZPKHO7nO9nGWkjrE8CJBBLAI7lKYusB2IrJC9xubLtmC7XmHpkMEk+obk8yr4LmQD8kpGkkCeQtpNAXhDIfiSJswCyPwW5XGNac+QFVBpBAiSQioDLFfF0ewRIdV5ax12uSONpnZCg0mRvucfj5p5IAjwsJoFREoCDTvCUTZ5UPsrzo09zuTLj79GtqpzLlbGWEUwmePIjlqiR8ZcEioGAy+XCbggjSTHMJcdAArkjkJNIEmdDBARgCgSKfjSSLEooJEACRUNA+7V4OrKQcR2ddDS6Lk7ylkM8ZRl7KBqdGTyLBIqMgKesbFLFhJMnTRz1uEbg16PuI\/rEMfaISDIJG6xjeFNMtDnMkQAJGLg7w60YSXgpkAAJjIVATiJJZEMED0JaMAysNhxZFFJIgASKiQDcHMPRnu7IohxHxy7SrLQzxjbxuu6pp\/g+eOoUCgkUBoFCuFZPO+Uk3xh2Q+Dadr+2+zsOZVDsLdt7HF0X2BM5jcGkEK5PenqhEIBDjWU3BI5s92u7v+NQBsXesr3H0XXBSFIo1yftLBQCOYkkkQ0RCQQ6TEiMQIoSpBCpwJQESKBoCMCvIeLjGBR0pBCUIB21jPH0UffLE3NPgBaQQDSBsUSDsZwbbQVzJEAChU1gLNFgLOcWNjVaTwIkEE0gUTRw60cgqa+zouA0KBA5ypQESKDICMC7IfB0jAsKUohWoEMcWZSkI\/osraRzVoHVobkkQALRBLS\/ayX6+Ihzuh2tjLgJnkACJFBoBLS\/a2WMI9DtaGWMDfJ0EiCB\/Ceg\/V0rcW223iESWyn5A1LctlhIAiRQWAS044siXm8fgpRHStLQ7Kc4dHs2jZZYhQRIoGAIwLsh2txEuq6QUknUAsohKU9nBRIggUIkAO+GaMsT6bpCSiVRCyiHpDydFUiABAqRALwboi1PpOsKakMElfAghFRKocQVOcqUBEqIQLEPNa6no1DGDcURGaQ8ZYoTUQfnQkRHVsSRlUKmJEACBU3A4dfIwvchGBR0pKMTORftQETX7TiyupwKCZBA4RJw+DWy8H0IRgQd6ehEzkU7ENF1O46sLqdCAiRQuAQcfo0sfB+CEUFHGitqQ8ReGltPSpCGQiF7TepFSIBDKiUC8Gj4NUYsKRQtsSX60IgU3Y5WcLqEJCgUEiCBIiBg92jt6VrJyAB1a1pBs\/Z+kaWQAAkUNAG7R2tP10pGhqZb0wqatfeLLIUESKCgCdg9Wnu6VhINTW2I4MzYeiiB4DSkECh4fEJaVMLBkEAJExCPhndDgAEpBIpdUIL4YC9JX8e5qKy3b4MnAAAQAElEQVRPlyxKpF8oFBIggSIgoD1a+7h4vc6OcYzSjrSJpiQLRfcLnUICJFDoBLRHax8Xr9fZMQ5Q2pE20ZRkoeh+oVNIgAQKnYD2aO3j4vU6axhxhqg2RHSxrioKUrdbVYACCQaDuiYVEiCBQicAj4ZfQzAQeLookqJEK9BHKgg9+nQoEGkBCkSHKilkSgIkUNAE4NHwa4iMAgpE64gGoo8ixbn2phw6+h1FmzyFBEggPwnAo+HjEDEPCkTriAaijyLFufamHDr6HUWbPIUECodAaVkKj4aPQ2TYUCBaRzQQ3ZFa+x0otdeGDkEhBIrI0NAQshQSIIHiIACPFtdGKiOCIqKzUFCCdIyiG4GCUDXG1ng6CZBA\/hCAR8OvxR6tSDbjqW4fCvrNePtskARIIFcE4NHwa+ldK5LNeKrbh4J+M94+G8wpAXZe0gTg0fBrQaAVySZJ1YYIDuMEbJkgFZES6FAgUCDHjx+HTiEBEigOAvBo+DVEhgMFAh2piMQElEBQgjRNQWWca6+MEi3Dw8P2Q9RJgAQKmgA8Wns3FPtYEAccJfajKXWcixbs1VCiBf3aD1EnARIoaALwaO3dUOxjQRxwlNiPptRxLlqwV0OJFvRrP1SAOk0mARKIEIBHa++GEjlgGIgDjhJ91NoQ0TWg4JjURmoXlA8MDCClkAAJFDoB8WW7g0PHoCTVcUAUlI9UpB1HKlm0GeTn70YKlPVJIC8JwJfh0TAN3g0RxZEiO2qJ26YUol\/0PuqWeSIJkED+EIAvw6NhD7wbIoojRdaU0SRx25RC9IveR9MozyEBEsgzAvBleDSMgndDRHGkyMaKtSGiD8jJyIqC1G1+jQhSSCAQwCEKCZBAoROAL8OjIRgIUng6FEntCvTRCeKRtCapbgRZyODgoC6hQgIkULgE4MvwaIh9CJJFijhgLx+FjhbQDk6UFIoIshD0LlmmJFC8BEpiZPBleDTEPlrJIkUcsJePQkcLaAcnSgpFBFkIepcsUxIggYImAF+GR0Pso5AsUsQBe7ldtzZEUAmCA0ghUCBQIFDkeQl6KBQ6duwYSigkQAKFSwBeDF+GR0Pg3RgIFAgUCBSIXYE+ComNO2hWBK0N8TuJQIFCAoVMQLxYnBqpYyixEcBRIc1sbDvoSwQtiA1QKMVCgOMoOQLixeLUSB3jj40AjgppZmPbQV8iaEFsgEIhARIoUALixeLUSB2jiI0A9gpufQLqaR2KXXCCzuJRCrsvKKGQAAkUIgH4L7xYezSGoHVRUAKBjpgABQId6YgEp0BwCtK4AjOC\/OAMAFFIoDAJwH\/hxXG9G4UYE1IIlLEIWoCgBaRxBTbAElQoWKHhJFDSBOC\/8OK43o1CoEEKgTIWQQsQtIA0rsAGWIIKFBIggUIkAP+FF8f1bhRiREghUOKK9Q4RHEMliF0RHS8gQ3AIIsr777+PXnGUQgIkUFgE4LnwX+3Loohfy0BQAoGOFAJl1IL9FN2CKDqFAjl+\/Pgwv2B11Hx5IgnkjgA8F\/4LLxaBIVB0KgoiAJQYGXEB2pHGcaYoOoUCgSWwB0cpJEAChUUAngv\/hReLwHgoOhUFEQDK2AXtSONoShSdQoHAEtiDoxQSIIHCIgDPhf\/Ci0VgPBSdioIIACWRqA0ROQc1UFXrUOyCRyYISpCi5nvvvYdtGCgUEiCBQiEAn4Xnwlp4sfiyKNC14CgEWUQDKBDoSEch+kRRkMbKwMAA9mhG0ThPIYECIVCEZsJn4bmx7owSjFZSuwJ9LOJoENlYgT2waiy98FwSIIEsE4DPwnNj3RklsERSuwJ9LOJoENlYgT2waiy98FwSIIEsE4DPwnNj3RklsERSuwI9VtSGiC7FORBk7alkUSIiT1B4WMKT1TF+nwjoUEigEAjAW+Gz8Fw4sngxFBExHzoUnYqCkrEIupPT0RoEOlIRbQP2dOVTfzhKKXwCHEGRE4C3wmcdXowsho0UAgWifR\/62EW3hvYhaBCpCCMJaFBIoOAIMJIU3JTRYBLIQwKZiiTWhggWFjJILDtE16lebaBEdKRlZWVIA4FAf38\/dmXkXKYkQAJ5SAAeCj+Ft8Jny8qU52pfhgJBOVJYrtMTJ04gC5ESKKMTnC6C00Wxp+hXBOEM5mGLF9UKTWgvCZQKAXgo\/BTeKm6L1O7OooOFKEihZ0rQmggaFMWewhIR2AYLYSeqUUiABPKTADwUfgpvFbdFandn0WG5KEihZ0rQmggaFMWewhIR2AYLYSeqUUiABPKTADwUfgpvFbdFandn0WG5KEihJxFrQ0TXwAkQZJE6RHpCCsEhpBA8OL3\/\/vv\/5\/\/8H7\/fj+euYDAYCoVwOoUESCBXBOCD8ET4I7wSvgkPhZ\/CWyHac0VB6hDYLCVQ4smIy9C1PkdajpuiGl52PnbsGFJEt+HhYZToE6mQAAlknwB8EJ4If4RXim+iJK7\/SqG2ENW0ninF3qZ0FzdFNW0tLIf9KMmUDWyHBEhgFATgg\/BE+KP2TZTE9V8p1F2gmtYzpdjblO7ipqimrYXlsB8lmbKB7ZAACYyCAHwQngh\/1L6Jkrj+K4W6C1TTeiIlsiGCk6USThMdKQSFSEXwQBVXcBTG4enr8OHDeAB755133jZ\/3nrrrd7e3rfeUmlv+Oev4Z9wAf+SQN4SyC\/Dwq7zV7tZb72l\/Outt94yfe7td955Bz4IT4Q\/wivhm3F9FoU4JKJ9XBREACgQHEU6RkEjukE0haxDYIkWHEKwGxwcxKbv0aNHMQS7vPfee5J9jz8kQAKZI6DdShSdwgfhifBHeCV8U\/spFGQdAu8Wgb\/jkOgZTNEmWtYNIusQWKUFh2AzLIf9GIUekSggpxXoFBIggYwQ0G4lik7hg\/BE+CO8Er6p\/RQKsg7RPg5\/xyGdzZSCNtGybg1Zh8AqLTgEm2E57Mco9IhEATStQKeQAAlkhIB2K1F0Ch+EJ8If4ZXwTe2nUJB1iPZx+DsO6WwiJbIhomvIaUhFUC6KPZW+kYqU2X7iltiOR1SpyTSfCNCWvCYQcR6bBottOfWJmLglKIQLSwrFLnYfFx1pBgV92VtDVgTGQERHqnUoIjIu0ZEiixQChUICJJApAvApCFpDKgIdIjpSuCdEK6Lbsw4Ht2czqKNfe2vIisASiOhItQ5FBGOBiI5U61AoJEACmSIA54KgNaQi0CGiI4V7QrQiuj3rcHB7NoM6+rW3hqwILIGIjlTrUEQwFojoSLUOhUICJJApAnAuCFpDKgIdIjpSuCdEK6Lbsw4Ht2cT6VEbImhR6tkVdIBClECBaMWu60KYK4KjIh6PR0okRaEo+ZHSChIoSAIOP4KXoUREj0ey2je1gnKtQ4F3SwkUiJTYFehjFzQL0e1Ah0gWCgQ22AWjsGepkwAJ5IRArCfCWyF25xUdKcohUMZP0D5Etw8dIlkoEAelWPsdFZglARLIAoFYT4S3QuzOKzpSlEOgjJ+gfYhuHzpEslAgDiax9jsqMEsCJJAFArGeCG+F2J1XdKQoh0CJldiSqA0RHNZn2hWM0J6FDkEhRCvQYaVkoYjo5zRkUQEChUICJDB2AvAmCNpBCoGvQRdBFp4IHYoIslqBDoGzQ6CgHCl0SKyCwnES9AWR3iWVrF1HCQQlFBIggWwSgN9B0CNSCBQIFIgokiI7TvEh\/WZhA0TskVSydh0lEJRQSIAEskkAfgdBj0ghUCBQIKJIimz6Lj9ONWEDROyRVLJ2HSUQlFBIoLAIFLq18DsIRoEUAgUCBSKKpMiOOj44N0TQkG7OrkAX0V1CEcFzF0TrothTPKohizrJBXUoJEACdgLJXQZHUVn8C4pd5BBKoECgiDi8WLLwegh0pBCtQM+sSMtIIWhZp1BEpBCmShaKSNysFDIlARIYIwHxMqTSDhQRnYUivglFRLKSokQUpNkR3aNW0C90LZLFKKQEikjcrBQyJQESGCMB8TKk0g4UEZ2FIr4JRUSykqJEFKTZEd2jVtAvdC2SxSikBIpI3KwUMs0HArShoAmIlyGVUUAR0Vko4ptQRCQrKUpEQZq+xNkQsZ8sjUoJdAh0pFpgInSkEK1Ah8hjGFKUI0VJckEdCgmQgJ1AcpfBUVTW\/gUdJVpQLrooSLVoL4YigkOijHeKjk6cOKF7QRaCrE6hiGjjkbXrOiuFTEmABMZIAD4lIu3E6lLi8FNkReDRqCB61lL0iH51d8hCkNUpFJEkg5JDTEmABDJCQDwOqbQGBWLXkYU4\/BRZEXi0HJVsdlL0iH51X8hCkNUpFBH7QOw6jko2hym7JoFiIgCfEpFBxepS4vBTZEXg0aggevpp\/A0Re0Oi6xTGQZcUCkR0pCKOpzIUSomkkoUOgU4hARJInwC8RkROgQ5FUiha7CXaQ6FAUEenCBPQdQoFIiVQxk90F1Ag6AgpRGyDAhEdh0RBCYUESCBrBOB38D50BwWpiNblEAqhQLQCPZui+4UCQddIIdpOreOQvRDlFBIggSwQgN\/B+9ARFKQiWpdDKIQC0Qr05JLZo7pfKBA0jhSi7dQ6DtkLUU4hARLIAgH4HbwPHUFBKqJ1OYRCKBCtQE9f4m+I4Hw0B4ECEUU6lixKIFJiV6BDUA6xK6LLcxp0EdShkAAJpE9AHAcpTrF7E7IQKRcFuojOagXl4sUoEQUpBOUQKNkR6Uvv40oWqUNgDOx0FDJLAiQwfgTgcfC72PalUFJ4rihIcyuwEwbAHlF0CsUuqINx2Uuok0ChEChQO+Fx8LtY46VQUniuKEhzK7ATBsAeUXQKxS6og3HZS6iTAAmMKwF4HPwutgsplBSeKwrS0UnCDRFpDt07FJglhUhFUEEUHBJB1qEgi0IIFAoJkMDYCcCbILodrWsFh6BDtIdqHYdQCJESuwI9m6INQCwTHSlEbIACgY6UQgIkkB0C2uOgQKRTUeCnUCAoRJo\/ou2BhaIjhYiFUCDQkVLynwAtLA4C2uOgQGRQosBPoUBQiDR\/RNsDC0VHChELoUCgI6WQAAlkh4D2OCgQ6VQU+CkUCAqRjkVSbIigaXsfWscDlehIRYcCQX0IFBH7IV2CQgoJkMAYCYhD6RStaR0+CNFZOSQl0KFAcBSpiF2XkiynMACCTpFKdIMigkK7SCFTEiCBjBOwOxp03T50eCWyUJBCoOSnwDYIbEMKm0WBDoFuF5Tkj9ASEigmAnZHg66HBh1eiSwUpBAo+SmwDQLbkMJmUaBDoNsFJRQSIIHxIGB3NOi6C+jwSmShIIVAGbuk3hBBH+gMAkVE63i4gg5BuehIRVAYV1BTJO5RFpIACSQnIO6DNFE1cUCkqIBU1xRdskhFUAciep6kDnuQ1QILEQQpJEAC40EA\/qV9DQqyWhxZXT46JTtnOWxGVgsMGA+AbJMESAAE4F\/a16Agq8WR1eX5rDhsRlYLzMZ4KSRAAuNBAP6lfQ0KslocWV0+FiWtDRHpAN1DREdq1+VZCyUQv4vxRQAAEABJREFUHIKgBLoI9FiRQ0xJgARGRCDWlVCiW4AO74NICRRdAh2FSEWgQ0QvlBQGU0ig4AgUkMGFEgrGaGcBzQhNJYFCJDBGDy2U0wtxamgzCRQQgWyGghFsiIhZwlF0pDoLBVkIHsAgUFCSpqAyhQRIIBGBNP0I1dACvA8CBSIlSCHIikCHiM6UBDJOgA2SAAmQAAmQAAmQAAmQQKEQGPGGiAwMD1QQ0XWKEohkoWiRkiQpnt8oJEACiQgk8R05pH0Nir1EdJ3iKERnqWSEABshARIgARIgARIgARIgARIoUAKj3BCR0eLhSouUxE11nURK3LNYSAIkIAQSOY4ul2pxU10HStwKIy1kfRIgARIgARIgARIgARIgARIoDgJj2hCxI8Djll3sh6iTQOESKDjL7W4IveDsp8EkQAIkQAIkQAIkQAIkQAIkkB0CGdsQcZiLJzFKIRKgzYVOwOGJzJIACZAACZAACZAACZAACZAACcQlMF4bInE7y8NCmkQCJEACJEACJEACJEACJEACJEACJFD8BGJGyA2RGCQsIAESIAESIAESIAESIAESIAESIIFCJ0D7UxHghkgqQjxOAiRAAiRAAiRAAiRAAiRAAiSQ\/wRoIQmMkAA3REYIjNVJgARIgARIgARIgARIgARIIB8I0AYSIIGxEeCGyNj48WwSIAESIAESIAESIAESIIHsEGAvJEACJJBRAtwQyShONkYCJEACJEACJEACJEACmSLAdkiABEiABMaTADdExpMu2yYBEiABEiABEiABEkifAGuSAAmQAAmQQBYJcEMki7DZFQmQAAmQAAmQAAnYCVAnARIgARIgARLIHQFuiOSOPXsmARIgARIggVIjwPGSAAmQAAmQAAmQQN4Q4IZI3kwFDSEBEiABEig+AhwRCZAACZAACZAACZBAvhLghki+zgztIgESIIFCJECbSYAESIAESIAESIAESKBACGRjQ+QEf0iABMaTQIFEm7GaOZ4Ix9A2TyWBYiEwVhctkPOLZbo4DhLIUwIFEgnGamae0qdZJFAsBMbqoiM5P2MbIoBv7xdZLSh38YcESGB8CMC\/tK9BQVaLI6vLx6SM88kOm5HVgp7HByFbJQEScMG\/tK9BQVaLI6vL81lx2IysFpjN+SYBEhgnAvAv7WtQkNXiyOryfFYcNiOrBWaPE0M2SwIkAP\/SvgYFWS2OrC4fizKmDREYBEH3SDFzokCHQLcLSigkUJAE8t5ou6NB1\/ZCh1ciCwUpBEp+CmyDwDaksFkU6BDodkEJhQRIYDwI2B0Nuu4COrwSWShIIVDyU2AbBLYhhc2iQIdAtwtKKCRAAuNBwO5o0HUX0OGVyEJBCoGSnwLbILANKWwWBToEul1QQiEBEhgPAnZHg667gA6vRBYKUgiUscsoN0R093FtwlEIjENKKTACNLdgCWiPgwKRcYgCP4UCQSHS\/BFtDywUHSlELIQCgY6UQgIkkB0C2uOgQKRTUeCnUCAoRJo\/ou2BhaIjhYiFUCDQkVJIgASyQ0B7HBSIdCoK\/BQKBIVI80e0PbBQdKQQsRAKBDpSCgmQQHYIaI+DApFORYGfQoGgEOlYZMQbItIlLBBFp1DsAptCoZC9JE91mkUCxUIgFArB72JHI4WSwnNFQZpbgZ0wAPaIolModkEdjMteQp0ESGBcCcDj4HexXUihpPBcUZDmVmAnDIA9ougUil1QB+Oyl1AnARIYVwLwOPhdbBdSKCk8VxSkuRXYCQNgjyg6hWIX1MG47CXUSYAExpUAPA5+F9uFFEoKzxUFaXrirDWCDRGYImdDgUBHCoGhSEVExyFRpJApCZBAdgjA7+B96AsKUhGtyyEUQoFoBXo2RfcLBYKukUK0nVrHIXshyikkQAJZIAC\/g\/ehIyhIRbQuh1AIBaIV6NkU3S8UCLpGCtF2ah2H7IUop5AACWSBAPwO3oeOoCAV0bocQiEUiFagZ1N0v1Ag6BopRNupdRyyF6KcQgIFQqCwzYTfwfswBihIRbQuh1AIBaIV6OlLuhsiaF12X6RpZCHQdQpFBPZBYnWUoJxCAiSQKQLwKRFpMFaXEoefIisCj0YF0bOWokf0q7tDFoKsTqGIJBmUHGJKAiSQEQLicUilNSgQu44sxOGnyIrAo+WoZLOTokf0q\/tCFoKsTqGI2Adi13FUskxJgAQyQgA+JSKtxepS4vBTZEXg0aggetZS9Ih+dXfIQpDVKRSRJIOSQ0zziQBtKWAC4nFIZQxQIHYdWYjDT5EVgUfLUcmmmaa1ISLtIoWgXZ1CEZFC2CpZKCJxs1LIlARIYIwExMuQSjtQRHQWivgmFBHJSooSUZBmR3SPWkG\/0LVIFqOQEigicbNSyJQESGCMBMTLkEo7UER0For4JhQRyUqKElGQZkd0j1pBv9C1SBajkBIoInGzUsiUBEhgjATEy5BKO1BEdBaK+CYUEclKihJRkGZHdI9aQb\/QtUgWo5ASKCJxs1KYo5TdkkDxEBAvQypDgiKis1DEN6GISFZSlIiCNH1Ja0PE3hy6gcAynYoiJaIjhaCEQgIkkE0C8DsIekQKgQKBAhFFUmTtTp0THTZAxB5JJWvXUQJBCYUESCCbBOB3EPSIFAIFAgUiiqTI5iR62DuFDRCxR1LJ2nWUQFBCIQESyCYB+B0EPSKFQIFAgYgiKbJ2p05Dz3wV2AAReySVrF1HCQQlFBIggWwSgN9B0CNSCBQIFIgokiI76tCQYkMETUN069AhkoUCgQV2GR4etmepkwAJ5IRArCfCWyF25xUdKcohUMZP0D5Etw8dIlkoEAelWPsdFZglARLIAoFYT4S3QuzOKzpSlEOgjJ+gfYhuHzpEslAgDiax9jsqMEsChUCg4G2M9UR4K8TuvKIjRTkEyvgJ2ofo9qFDJAsF4iAea7+jArMkQAJZIBDrifBWiN15RUeKcgiUdCTZhoijFWRFZMCiI0UWKQSKCMyFiI5U61AoJEACmSIA54KgNaQi0CGiI4VXQrQiuj1rjxE4as9mUHe0jKwILIGIjlTrUEQwFojoSLUOhUICJJApAnAuCFpDKgIdIjpSuCdEK6Lbs\/ZwgaP2bAZ1R8vIisASiOhItQ5FBGOBiI5U61AoeUmARhUkATgXBKYjFYEOER0p3BOiFdHtWXu4wFF7NoO6o2VkRWAJRHSkWocigrFAREeqdSgUEiCBTBGAc0HQGlIR6BDRkcI9IVoR3Z61hwsctWcT6Qk3RHC+y+XSpyHrEHSsBYfKysrKy8u9Xu\/kyZN90T8nn3yyFEChkAAJZIqAditRdAofhCfCH+GV8E3tp1CQdYj2cZfLhUM6mykFbaJl3RqyDoFVWnAINsNy2I9R6BGJAm5agU4hARLICAHtVqLoFD4IT4Q\/wivhm9pPoSDrEO3j8Hcc0tlMKWgTLevWkHUIrNKCQ7AZlsN+jEKPSBRA0wr0PBCaQALFQEC7lSg6hQ\/CE+GP8Er4pvZTKMg6RPs4\/B2HdDZTCtpEy7o1ZB0Cq7TgEGyG5bAfo9AjEgVzphXoFBIggYwQ0G4lik7hg\/BE+CO8Er6p\/RQKsg7RPg5\/xyGdTaQk3BDB+focNJRIUG3ixImTJk1COmHCBJiIEn0iFRIggewTgA\/CE+GP8ErxTZQkcmGUawtRTeuZUuxtoq9EgmraWlgO+1GSKRvYDgmQwCgIwAfhifBH7ZsoSeTCKNddoJrW4ymjKbO3ib4SCappa2E57EfJaPrjOSRAAhkiAB+EJ8IftW+iJJELo1x3i2paz5RibxN9JRJU09bCctiPkkzZwHZIgARGQQA+CE+EP2rfREkiF0a57gLVtJ5Iib8hglZEcJoo9hQ7MSKwCVs1Ho8H1SgkQAL5SQAeCj+Ft4rbIrW7s+iwXBSk0DMlaE0EDYpiT2GJCGyDhbAT1SgkUHQEimRA8FD4KbxV3Bap3Z1Fx1BFQQo9U4LWRNCgKPYUlojANlgIO1GNQgIkkJ8E4KHwU3iruC1SuzuLDstFQQo9U4LWRNCgKPYUlojANlgIO1GNQgIkkJ8E4KHwU3iruC1SuzuLDstFQQo9icTfENFbKTgfgvORiuj+sD0DI3CIQgIkkP8E4K3wWYcXIwvLkUKgQLTvQx+76NbQPgQNIhVhJAGNIhUOq5gJMJIU8+xybCSQLQKMJNkizX5IoJgJZCqSxNkQweOKkBMFaaxUVFRgY0aqMSUBEigIAvBZeG6sO6ME9ktqV6CPRRwNIhsrsAdWjaWXPDiXJpBAaRGAz8JzY90ZJQAhqV2BPhZxNIhsrMAeWDWWXnguCZBAlgnAZ+G5se6MElgiqV2BPhZxNIhsrMAeWDWWXnguCZBAlgnAZ+G5se6MElgiqV2BHitxNkTwoq7jZMkiFcHrzGVlZbFtsYQESCDPCcBz4b\/iyEhhrT2VLCIAlMSS7hG0I43jBFF0CgUCS2APjlJIgAQKiwA8F\/4LLxaB8VB0KgoiAJSxC9qRxtGUKDqFAoElsAdHKSRAAoVFAJ4L\/4UXi8B4KDoVBREAytgF7UjjaEoUnUKBwBLYg6MUEiCBwiIAz4X\/wotFYDwUnYqCCAAlkTg3RHA+BLWRxpXy8nLsxKAChQRKg0CxjRL+Cy+O690oxGiRQqCMRdACBC0gjSuwAZagAoUESKAQCcB\/4cVxvRuFGBFSCJSxCFqAoAWkcQU2wBJUoJAACRQiAfgvvDiud6MQI0IKgTIWQQsQtIA0rsAGWIIKFBIggUIkAP+FF8f1bhRiREghUOKKc0MElWJ3UHC+CI5OmDABKaV4CXBkxU9AvFicGqljwLERwFEhzWxsO+hLBC2IDVAoJEACBUpAvFicGqljFLERwFEhzWxsO+hLBC2IDVAoJEACBUpAvFicGqljFLERwFEhzWxsO+hLBC2IDVAoJEACBUpAvFicGqljFLERwF7BuSGC2tKEpLoqshBsveiSYlE4DhIoRQLwZXg0xD54ySJFHLCXj0JHC2gHJ0oKRQRZCHqXLFMSIIGCJgBfhkdD7KOQLFLEAXv5KHS0gHZwoqRQRJCFoHfJMiUBEihoAvBleDTEPgrJIkUcsJePQkcLaAcnSgpFBFkIepcsUxIggYImAF+GR0Pso5AsUsQBXe5QnBsiqI0ajlSyaMXj8eAohQRIoNAJwJfh0RgFvBsiiiNFdtQSt00pRL\/ofdQt80QSIIH8IQBfhkfDHng3RBRHiuyoJW6bUoh+0fuoW+aJJEAC+UMAvgyPhj3wbogojhTZUUvcNqUQ\/aL3UbfME0mgIAiUiJHwZXg0BgvvhojiSJGNlagNEZwpreh6KNFSxi9S1VyokEDhE4BHa++GYh8Q4oCjxH40pY5z0YK9Gkq0oF\/7IeokQAIFTQAerb0bin0siAOOEvvRlDrORQv2aijRgn7th6iTAAkUNAF4tPZuKPaxIA44SuxHU+o4Fy3Yq6FEC\/q1H6JeHAQ4ipIlAI\/W3g3FzgFxwMRPPxUAABAASURBVFGij0ZtiOhSrejToLjdKSrrs6iQAAnkPwF4NPxa7NSKZDOe6vahoN+Mt88GSYAEckUAHg2\/lt61ItmMp7p9KOg34+2zQRIggVwRgEfDr6V3rUg246luHwr6zXj72W+QPZIACQgBeDT8WnStSDZJGrXHYd84QRMQORMKBB1IlikJkEAREIBHw68hMhYoEK0jGog+ihTn2pty6Oh3FG3yFBIggfwkAI+Gj0PEPCgQrSMaiD6KFOfam3Lo6HcUbfIUEiCB\/CQAj4aPQ8Q8KBCtIxqILumIUpxrb8qho98RtcbKJEAC+UwAHg0fh4iRUCBaRzQQ3ZFGbYjIMTlNnyBZHEIHSCkkQALFQUB7tPZx8XqdHeMwpR1pE01JForuFzqFBEig0Aloj9Y+Ll6vs2McoLQjbaIpyULR\/UKnkEBxEyiF0WmP1j4uXq+zY4Qg7UibaEqyUHS\/0CkkQAKFTkB7tPZx8XqdjTvAOBsiqKfP0QoKpTkoFBIggSIgYPdo7elaycgAdWtaQbP2fpGlkAAJFDQBu0drT9dKRoamW9MKmrX3iyylmAhwLCVIwO7R2tO1khEgujWtoFl7v8hSSIAECpqA3aO1p2sl0dCiNkSkNhqCiK5Pc2R1ORUSIIHCJeDwa2Th+xCMCDrS0Ymci3Ygout2HFldToUESKBwCTj8Gln4PgQjgo50dCLnoh2I6LodR1aXF6hCs0mABEDA4dfIwvchsYdQkr6gHVRGOxDRkRVxZKWQKQmQQEETcPg1svB9CAYFHWmsRDZE7DUcuj0b2wRLSIAECpcAvBui7U+k6woplUQtoByS8nRWIAESKEQC8G6ItjyRLhXSSRO1gHJIOi2wDgmQQMERgHdDtNmJdF0hpZKoBZRDUp7OCiRAAoVIAN4N0ZYn0nWFyIaILtLnaEUfokICJFCsBLS\/a2WMI9XtaGWMDfJ0EihQAiVltvZ3rYxx+LodrYyxQZ5OAiSQ\/wS0v2tljDbrdrQyxgZ5OgmQQP4T0P6ulbg2R22IyJtJ4tZjIQmQQEkRGEs0GMu5JQW5WAfLcZGAJjCWaDCWc7UBVEiABIqAwFiiwVjOLQJ0HAIJkIAmkCgaRG2I6Nqi2M9Jvq0i9ZmSAAkUFgG7X9v9PbOjsLds7zGzveSwNXZNAiVOwO7Xdn\/PLBZ7y\/YeM9sLWyMBEsgVAbtf2\/09s\/bYW7b3mNle2BoJkECuCNj92u7vSexJtiFiPy3N5uynUCcBEshzAqPz67EMKvs9jsVanksCJJAOgez7dfZ7TIcD65AACYyFQPb9Ovs9joUPzyUBEkiHwCj8OtmGiH1\/JZ3uWYcEipJAiQxq\/Px9\/FoukanhMEmggAiMn7+PX8sFhJemkkCJEBg\/fx+\/lktkajhMEiggAmn6e7INEfto02zOfgr1AiVAs0uHQPb9Ovs9ls5scqQkkCsC2ffr7PeYK7bslwRKh0D2\/Tr7PZbObHKkJJArAqPw63Q3RHI1pCz0yy5IgARIgARIgARIgARIIP8IBPbev2a1+bP+ud4smxd4ZbPV9w8fOXA0y52zOxIgARIYNwLRDXNDJJoHcyRAAiRAAiRAAiRAAiSQBwR6n\/vJI68GYIj3rMv\/\/oJqKNkU76xlK86vUj0e2Xvfw7uVHSrDXxIggUIjQHuTEuCGSFI8PEgCJFDyBPp23bXmH1evvnHdli6uBkv+aiAAEoghkJUQ0bfzbvVS\/Y3\/suUA41DMFBRtwdttm5\/vU6Pz1i\/50myv0rL9W33B1y78gNlp99bNe3jxmShKOPH37N66acO61tYt+y0KwUN72x7buL619a4XzGvVKs71nwz3zwicYaD51lyWNkQCvZ3tHe12OfAXv\/9o0IZj7ybzDYGrV2\/aaysdBzUY+MsBy5JXug8PjkMP49FkKHi4O8zw1d6AnZxhBI\/6\/UeUOMpHaUgoKK35\/dHdjLI5nkYCGSNgiyTdh2NbPdrbGY4z3f2xh2NLAr37JS519kaWeYHeV6Swfe+f\/YbRt3d3TyAENzvcvqcrtonclnQ+1hr\/5+6d4YVJehGvv9uKih12FOHBhQ53h8HGOxyulvLvvnCYvz+9MD\/S+ikNYAUSiCEQfLc7HDcO9EYtS1TVvufWydpk3XNhl1LF9t\/Mh4g49\/S39+7+swpSwXfbd79m7z17ehBR4rktmx\/avPX5zh6ExmQ9pxNak50\/8mO6Ryt6d3b3ZX0NE7OOHVQLM7WgGuVSM9D+9Ha509VesKQ+djskGOh9tV1Cd2f34SDuU1HgdNy23S5twfzA21jjpcNt6vyLm3xmy93Pt\/WYCpMwgXiQw8ey+je9zuLElqgT9XCs68q6usIrpN7n1rfetXV3V+9hv\/89XD6GEdi3qfVHj2zvUP72vgpRUc2NJBMMmA8y\/iPxH2UCkQdJ2\/WsOxjx8s88M\/3nnTyIwKbFTMaLQJY2RPyvPLPlsS12ue+O1tabb1xz9\/Ye06PGa3zR7fq72u5Cp3fcZ1ny0MZ1\/3Tjuofa+7JoQ7RFaeWCPdvvar1x3cbNltn3b1jzT2s27ZG7pGpBPRT9sLX1h62PhPdrVemof\/u2\/8RsrfXu7YkWgKNumyeSwFgI+CORZFPbq86WDu95bHM4zryQ1qrN3\/mMxKVnOo9YrR1+YeOGh8zCx\/cGpmERWFX\/cfMNw4a39qwaq1Le\/FGLG3\/cH3Nh4u\/c8i\/fXxMd8dY\/2W0eix5DzwtWeAHCFyOxxarU1bYpDPaZV1I8CVmn8A8J5D2B4KH2zf9y443\/sjEcN+7bgBXC3W0HRnaNR0JE3ey6jAw6zj29qn72NLNtb219LuJQ77b1379145bn2ztf6dz93Oa7frhm8744gcQ0EUk6oRXVMii6RzN6P7Zls3rF+sYbWzdmdZUZPaC+53+ChRnkJ\/Iuj+ijqXOBvXv\/w6xVPnv+J6O3Q0L+A8\/dhaXghvv1eNfd+E\/rNv\/evp7tecGK25H74YHH\/vdGKdzWO6nKYxjpcauZ3yQf1jnS\/mLMndc0MetJvnQYB3K+mBbPjjixJaqaHo51XcnCwLrvB9qf\/o31WODx+k7G5WP0tD0Tfutsufek6Is0quHUmc5H5NHjh490xquc6eWf2Uf6zzu5jsCmuUzGkUCWNkQSjSDw57afPrQ3yU010YmjKMft\/NZN23ucXwoVPPzKlvX\/8kj+fllUYO+D\/9rmNDsU6PrF\/34k716uHsW08BQSGB2B4N4X26NDR8\/O34\/5C+d62+77Za9pkLfuy8uaJiu1+oJVt9zU3HxT84pPTlX5fPr1TPZF\/XjVCkUZ6PV6jb62uze3v+vY7g32vbhx4wsxWx7qHOu39\/c7o3eTAu0v7nW0YlXlHxIoWAKBfZtbf7yl0+kgRuDP2+9bf9dOCQPpjU6FiObm5h+0LG8Y0wNBst7c1Yu+c0vLDc0tzSvmVCarOC7HerZu+rX5pO32Vn9gqooyoUDnlq0HnG9JSNx5vNCauHbGjgT93W13b9rtXPhlrP1xbSiwr7Pb7MBTP3uGfbUe6m37X7fe97z51kWzgpUED3c+vv7WRxN+pgov5v\/8D+Zt01214KrFNfY2rSasPzHcpjZ9stY8Fux85YCpMCk9Aj3db4jLn7JgZUvzkpmGceSNN+TFJHfd5d9vueYz8urReJMZn+VfcqtzG4GT28ajmSCQOBxmovXYNqaev2otfn7QvHKh7DYbwe4Db8TWO7TzrlbzJ\/LGb6PvBaus9bHI7iFe4dmK1wHW3Lj6H29cc+uGzb8+4Bd3dbTZ+\/RmuZ0bhvfDTUtWrGq+YeXXLqg3b+xw6b0\/f7zTvEuYp\/kPbH9ow7qbb1y9+sY1res3Pul4C0mw7\/dbN\/64FX2u\/qc16+7YvL0r+uWkkP\/Arzetx+kw6cebtncH1I6sORr5xJ0eyF0v9Pb9fsuGW81jqOlox7TFeO3lLnmzpW\/O125Zu\/afVy6YJgcCnftwW+rbeXfrVnkNwTC6f6GaMnvp3KJU\/G7pDB1uf2zDutYtFrVgn8rC+hth\/Jb2d1ULqNfaetfOQ4axf0urflrqf+EnOKCnQI1r84Zb19z4j8Jla\/uhqKckzMWWO9ZJwxseaz\/8tn0S+7bfgbaUbHzRhus\/tq5TZa2tP3pabvwyNqYkkJrAf+zebf9czKsvtsuN2XlmMIXD6vqBzs0bt\/eZAaTq\/BXLw882cNhbb9+w4fZbrc\/Hwkfkon2s09+1fdOPzcytG7ZEvTRniDuoMIE4EHPUSBRkBs0XSVST67Rfw0D\/ixtVGX437bb5j1F\/WbP956tnW89jtZ9s9L29d++7OBVSc2Ezwm7L5WdZR3v\/uN\/eCGpEieM1wP7du8MRJqoaMolGgUOmmHzMiHHz+k2\/jvfOFEOB2ppODDcbZEICmSFwtP2RLZ3qo3CG4TmlftFVK5tvWLXisqYacw\/UCPQ8\/bM265XQSH8D5v0a17NabNj9XYWIDRs2\/EurFSJwSqrbpZGwgroja9+33dNRfuv6OzasvxV36uDehxALlNjvp4d3haPEzzqte3NyD1U2bFqPICX39Pu3J3xrTP9hiRhTP\/v3K6+9\/utfqK+fVV9f5wtKKcabXBKEVnWSsiHeusIY9ZphatPVzc03NDdfe7n1nppQ985d4clM2J2yBb+J47ZtTYV6IvpeoJdJUm6mWPj95LfW1vPh36rFVPjywC1pCxZ+WCyZa8gtjqWUebZKuv\/DWhbV1s1Q+fBv7y83b3\/HnGG3t+bcJSu+g8F+bdEsaz3r\/8PPt7wSWc+GTzKMt9t+8nN5MR\/b\/X+\/yFqD6+NJuWHlfNYMOSP4n90j2S3U7ZeIYrtO3m3Hklh5aes6tSRWSwtr6lWhY1WgryW1rmjbqFba6gFkk+OhJph0AS+ME17kiCFxnxfkNEdadzlWDWG5\/oIq9XTwSDiwHNmNWLNl9867Nuj\/e9S99Ye2AJgs8igzFIFWhLJANx6XoHTheWGrdbkb3VvV4fAzi8Muyaa5\/AslfRwD87jPOyhXBrSqh02ZRPXUCbN1BDaCr25ZL3Vu3bxX9ltDB7bI01zr+q3\/YbqnmMq0QAi4c2Nnua965gzrxdaJ3kmxRgwH3rfeBm4L67os\/CnfgPro2pbd3X3+QNAIBQP9vZ3b7mv9cVuvijv2RgPtz+6U+5L3rMuv\/+biObVVvinVM85fdv01C6pMBoH9262Hq9629T+8r+2V3sOql2DA39f94pb1Pwxf8UZg7\/2t6x\/f3f2O6tMYDBz+S2fbptbI\/0LDzv2PW+\/b1tWH02HSO11tG9dt2W8N5j3xkfBAep\/fuP7x9t5+8yhqblq\/Kdl7UI0JMBWblP\/DvNnf0Py9Cz+CQQb8foweCgTmoi2zl+B70JR0t\/143ZaO3sPycb+je2GsyuKcIIxv3\/Kjn2zvVfX8\/vcDw3g6eS\/y3S6wXx0xp8AaV2dvfyAYMtBRX\/fuLT9q1QbLXLT\/5bA03NuxZd094YYFaUEtAAAQAElEQVT9aKFq9lk+1Zjf393RLnMBgw9AN0uNj86SVx9QSCGB9Aj0dvw+vMw1Er2LIa7D3rp+W+yKLrD30S2yLYooEfVl\/mGHtT4fq31r\/5b1m9q63jGv4P7e9sfXR9YGXY+0\/mgL3EE5J\/zIPNr62AFrXHGDTOsmdVstr5\/9Yfg02jzc3hGub0DvRhGkauZsn9VKzJ\/QgRc7zAeU8tnzG629D6nkceOvd\/YV16vnBDwqXGV9IByl8SS49\/eR7\/jo2bk7FhbOCrz6SGtsqMTKJlxbfdhY8TEjxtG+rm0b1\/0i+q0n1seP04nh6JBCAhkj0PPrti55pWHagmu+s2zBWdW+KVW1jYuvWXV5nbjOoRe2R3804L09m8z7Na7nIBYbUf7uCBGh3ja1DOhMdLs0QjEVundv+XGrfAgF\/o\/bqAwVt1p4vXlPN1AO3bxTe+o+WmXq\/u4\/7DV9HtX9+\/daUaL6Y\/UeFPTGW8xInMFR4zAeQdRaBUFK7umvtt2H3Rb7LrOqZv5WeFWDhnG4cy\/WVzWfWbbsCsiF9VPMoymSxKE1LgdrXVE16jWD1+fzTfH5PjB78aetZcXht82olKw7cwzJ4raO+zIbZn1dphY5ZoktCR71B+QaQ+FgAPMld5ADj2INqRZ+apYHzWXYj1u3xHnDb1+vdX+r\/siH0URYAu1P75I1FPY1rr\/m4jm10zDYGQuuuP4a+XcwRqDz+d1SI3yOoS65h+Js90cqGEZCblJpyoc+JPee\/j7LLilnGkVAXxPtm2UNgIn3H1ZL4h8\/3f7MBjOGqCK\/uSqIrBn0eWpdsb1brbTh\/bhv3rf+wfD76FMu4GFJ3Is8VWzBeakFFqpL1qwI0\/z+9wYD7+NJxyxQj2AqNqlMyrWBcgY\/fvrbH1i3cVtXH54+hhBDo1uXZxbVXtzfNJZ\/ForEj2MYUbT9fnFklMM6yH+2rZdJNKuFzVbPSp6zvrDgA0FU8fd3bn1MTVDftifbzae5YM2iRR\/1xDWahflMwJ1l44bCX4rT9rQVr6s+2TTKz8P279xo7XZ7pp61YPEFc6rltZ1D2zfqBw9reN1d1sbj1KYLZstqxzpSvWj+R0Xt7XzFb4QOPLLRumcYk6vr6qp9clUf7XzMvOIPv7DxEfP\/nxmeqXXnL17UWO01EfY9v1E+wHL4+ce2H5IGDc\/kquoP+DzuQAAbAlZZ1J9gIOCZVls\/q9ba2DcCXc\/EfGFVzYdkV97wt2\/8p3WbnmvvPupVN3vc7ycr43AP86q\/qmUPMj75XJ\/Kmr+H+8L2IHvgycfkBQLD8Hgrq6tP9XpCgcg9GzU8J\/vMZqEabmlPATvw2Mbt0s7k6jkXLF5wlpgc6Pr5xp1YP4UObNX\/gcPjnfqB6irYFAjI\/o9qyjCmnttU6zbV3o6Ot00ltHf3K1Klumn+KK8CsyEmJUrg8B92W0\/Y\/bvjvosh4rCGZ2ptfe00cZVg3683t8lFGCb31\/C\/NjSmNC3\/anSUCNdx\/g0EhnzVdbPqrMhjGH2\/edr8GE9g9wvqBmkY3trz8diwoNarTg10tO08goVpJMh4q+csunhB3Ske83DXI5vUvu2MT8+RZWfwld17Q+qI8XZHh7meN2J2OszDVhLo2LnXXH\/7Gs+dAV+rqqkpl0M9W1vXbHhs+4G+CVbosOKaHI2XdrWbA1HWviibLI5agfbND+613o5XXlWrQyVeWn\/IfGm9f\/tj+mPz5d6qD1T7yo2AIxSOIIY7ume2wAnk2Py+A\/9hbSPUfW5RNZxF2zN59gVz5MUa50cDcL82PNaVLNX7nt+01QpAUmClKW6XhhGp4PZG1hnqQyiPIHDgNu41QwKak3uw+Vl95CLinTXbup\/+5YBs4xpH9r78F7OCu+7sWcpz9WImbpwx\/rzzBak\/bfaSK5Yt\/oT5Xvdgz3PbDpitRCd1ixbIQgTrqwdhY\/TRpLkkoTXCId66Yuxrht7wjsLU05T1ybvD9myyuJ10jHEPeib7vFYENoxyr8\/nOwk3gsDunfKhFW\/tAmwqnW\/eHEKB9m07rSsy0tZAYEAyPp994+n1rm65L5zSdGH4bYxSr3rhfOs7bHo79+NeI6UqDbz8YHgJV7s4artfHXX+OriFD1dOtcw41Bd99wxX4F8HAdN9tTMf2rnlhT7EEJ8vcmH0Pf+YWhXYz8Nt0u3xySraLMf+wubfq6eI1Av4TMQWs08k6sVL+UbV9o5utb+GpwM9FnNkJ5d7T4p+XjCv8FRrA7Rtib\/vkBqXypV5T\/JFt+54lFGVon5TL\/9SPo5hRNH2Y2ai+ni3r098LapUMt7Zly2W3fPAq489su3pR36jIBne+iWX1cPRpRLTAiJgXwhkw2x\/V5t8Q8\/2\/4AbeGu\/uHLlQvM2PPLO+zra8UoFzvPN\/fr1Vy1qOn\/JylWL5ak6sLfD+ngIDkMCfnlnrGFMqzoN+Sj5ULWsfowBLNb3d1i3+ilN1zSvXL58ZfN\/n1+F6AUv+Utn16Dq0zzZ1\/Tfr19+QdOCy1Ze\/8Vwn79Hn30df5AHFzz\/X\/P9m1atvLb5lmsXVCXCXLu4+Tsrll2x4vrvhN+9eKT7gOw7mN2opHLBZV+osbwreLjr+S0bb73xxh9t2m69\/bxq\/jebF1t7Okbt36m3z6vP9akzrV9vTdNi9X7gy+sjGxCeuku\/1\/K9lSu\/3dL8FfFoq7Ixc0nzis9YRCo\/8\/do75vzq4xOi4u7dvGqlUvOb1p01fXLP2k+tYV62zv6DDy5mU9iRnndku+1XH\/tylUtzfr9+VbT3jnzZ8kq73D779UqMtDR3iWx5qNNTdn\/ULRlFv8UJIGptbXq+gt\/uKPv9+aOgbu2ttY+HO2wyjWuX7FsxXeal5xl+rNv6MArlquaJxzuelVe9JradMXiJJ+sNiuHkylNX79h5fIrECa+NlsWvqHurtdxNBg8jhTinVpTPWPWomUrli25bMmSy5qqccHrIFO7+PqVSxacu2j5d5ZbWyB\/ae+A+9fMt76+LtTV3oE4afT83npTlbXTgYbjSE\/br2XfN7y96J6x+CuzfRJ8QoHejrb7Ntx4Y+uGLR3mbTtOC2aRIAx175avVrVc21f7USsqmJWwPbu7G2NBZtqCld9ftQIMblhSJxDefWF7l2HNCCqc0nTNP7WsunZl8\/f1x\/1QqkRNj9lI6hiuqhfyL23PLwL6UXPqGac6Las+w\/pUajD8PGrVwJX8fceV7O\/8g7qXWRWsP6lul\/p+aviavt6i1hk3fH3+qT71M7G389WpKe\/pqh9v\/Wwr1nV3vqKiRODVAxLRPLOaZsPrU8aZ41jxqJY8J59xRl1905e+tkLFqCWLZ56smlNH9G\/gwKM\/aZPWsW3w6iPr7m83N0MD4f\/Stbcn6vFbnwglSWhNBWqUawZsg5vvZb\/5xo2\/98MCw13d9EmsM1N1ZySN26qhkf3WX9b895+2wubUT6vF1DWfqTIGgxbeSVNrPjCj\/oJlK76KW8OSJXOrh5zNH7Y+p+SbarViVggctRowqqowKrMsnLg\/dMYpoqv1rGhm2tNlvZJXu2Rpk7WeNA\/YkkTcdBVcoVqnkpIAvPuWFiyhW76\/zFr6Yl+sbskNUnZNk7W71Pv6n6Obwir6hluar41aRXfv2xtIZwGfkdhimdPbLl++q1LzS3nxdPB3VtAxProYI1vSNP+a6OcFXOH+9hRrA6t5+TOlftEVK1bd8PcL6uZf07w43DoejVTz9VInJk13+ZfycQwjira\/WT3v2Pvz1py7+GvXNjdfFs+WybMvv1T2PoJdv95pPpB66y9dIkX2VqgXBAHcNrNrZ7naJsf2gvlkHOh+ZuMjST8kksQ4vYcd2Pegefdrbb09fMsO9fa+bTvVq\/cdjSFz\/W07hn2QyG2or9e65\/vOOtt6KPrwhavgmEqWzS7v\/SseV9TJAf0J3sh779\/GixG9f7U+tF\/d9Nkac4yGUT2\/6f9V58T+Tq0xXxzAgcr6GdZtLGgMIx8l1Z+5pvl7KxY3qpdY5UDwkPokzmZzGSQlidPaRcsXN6n3A3s9fX2HZPjl9U2ynWEY3oa\/SfwW\/HCrb\/earo7sG223W7A3h9+o24eZeNvi4qlvsh7tDO\/szzob1i99+195uccI7N3XjRYNwzP73DkJ7tDmcSYkEEugZrb5bu2g+dWqPbv\/YD7k182xNias+tpha+utV9K8c65Szoxf\/TVGVl23\/D3c1WkFAcknS6s\/ZEUJ94wZ4Tu5GWF8Mz+uXpA0jMPt96+78R9vXP\/43v4JZ5z9iTm1lQb8xWrzzTbrM6g\/3PyyfAbV6Pur6nxq01yrObUMMnpefsVc1hvhnQ7r\/Og\/+itUPhrZXvSedTm2IS4\/v069Y8usHvRjlbNu\/TbZ\/TGLHEl5\/Wxzg7VXfbVqoL2jSx0\/Zc6cD6i\/+rf7P5WhyFbPaaoWdJPnNJnv0zeMYM+f+3rfNmcE8e9TC6xQ6K6eH34HO06EIHIghaSO4ahEIYGMEajwyuadEWdJEP3WxkiXVbOb9JW86LN1csDf\/44okTTV7dLQFXz1Z8tHIdw1F34bMUnJsk94Ik0l07xzGi0bul+FkwY691v30\/rZM3Be6jjz0dmycA92P73hn1bfuOa+7b3BqbVnz5lZ7bgd9z33v+\/7gxmCptTVmZtFgVe3rH+w\/XB326YHzX9Fscd\/kvV0h55jROKDERNaNQcj\/roCDY1uzRA8qt7Jbn34d3LNgqtXzMcrLqm7Sxa3YUxmZMrMsyWWvtt+3603rv6n9Y\/h5lB99pzGWvuuR1RfxwPHbHmvXs+GImvX8PGBqDf8hkvVX5mF4BudsjOiipy\/8bk5azGfJoHqD4l3G576euuGbsC\/5J3sbv3e75jWPjonsope2GhdFYcP9\/elsYDXF\/mYYouYZL4JBJtgSmLfoyZ14qQp1wa2c3xNX1m2YFZt1RSfR65P27FkaprLv5E8jsXvDs9PFzfN+IAv8sb56HreWcu+\/IlIvPTOXLJkViQbXZe5fCcwomswA4OZam6TNze33HKT+XJiKND5883We7Mz0Lx24JO8Zfbmpk71Sba7GysHUa308Os95p3eMKadVmWVGcaE8jQXJYah+\/TZ3cDrCa+3DMPr8eiGR6l4KmubLlvZ\/IO1t6xcYj4Hop1A5286LNORSyger90uqTbR\/r0tntGZ55mowqT6nRwZnrd8kvSg0nLPBPXH9qtf+va3v\/ji7nZZv02Zc+5ZtjpUSSAtAh+a\/0lz0+E\/du\/c9aL5daqe2Z+c7bzkrKY8nomWluDP1PmXLpB3cuFlMv3NOAkqxxTHFEz9zMrm5YvqTjWXrqGg\/y+d23+24fv\/a3uCfQiPd7LyJPyebDqTt3H+bAkg3e27X3yxXfzcttMR02Gg\/UX5RzAx24vl1bMvWL6q5ZZbvve1BeG3mvXt3H4gpolwgXfOubOVFUfaX9y1Uz6IVP2JRpN1uIrtr7dc1ZWCSeWxNkxlKAAAEABJREFUscawV\/B6IpXllJjUI1vmPt9J0TE8piILSGD0BHy+\/yInH+5+1dq5kzzSN\/7T+p53+ZwFSkR8Pp8oKtWBJhh+wV+VJvyNe7s0PKn9IWGLODCrKRwlDhwIdnXK\/RQbmgnvp9Fxxj3j8uZVS8IvtAQDfd0vbt34L60xL7Qc2P5bE5G7dvHK5cu\/vXLBqcqLsSey7l75gmfv7IXzrcc2WOWUkYVWJ6jRrBl8dZ+ZLcHcMKoXXXvNoto4cUnMdHQ3wrgtbYw0nYqXwr+2MLxJPejvfWX7Ixu+v\/7XsTeHqirs46D5wcAAUi1TwuvZ\/+x2\/pef\/tffkJuFe1r0u0fqFn9Z3gsc7Ho88mYf3aSppOTW1\/d\/zIqGx4haYEsh08wQ8PlOjjTknmDpwaB8vFxlJ6axgB9jbFHdyNs01C5tc\/OSeG+QUJWS\/Npv\/XHXBoYxwVuRpIEkh0a0\/BvD41h5nOenJGb5TqtKGGuSnMZD+UHAnTMzJp9RJRulof7+hG+2NAz\/4cPypgaoR6O2w6umWbfgqnnqvYjKa7+3auW1K5Ws\/Pp883WM8Ohqzp7lM\/Xg3kc3WU8XKh\/seeY+610l5bObZhlVp1inHX79gLkEMIz+vVsf2rxZyfbuwSrr\/mRU4Zamemxu\/t51Zo\/o97\/NrzKqwhW6O\/U7X462d\/6n6mx0v8H\/2G72vnnzv3fiTuepnrPsC9brQjGfyMerXUk7qaq0hufvfFm\/Sa\/35f39Cc4KDVkhWJ\/oqf\/yDTLu5u+ttAa+6u\/qNTf\/qy\/3hOerd+9+i2Gkef3Sd7Dzl9vlJebav1lUE6lArRAI5IeNUz9RX60s6d3+jLkXEOdJIOKPeie05wVx581bOqIWoBM+sGhZ+Bvpun6eaMmo+kv9Gwr6j\/iN0+Zc9t+bb\/nnW65fsVg2MYPvbN\/eFQkynrO+bPnSDd9TUQsx5NpVi2eazbtnnNsoIat3+y\/le919TQvnJLzX9u+WnQvDvr14qH2LClwY784ew\/BUzlh0aZMVNB0rbLPPSFI3u15txwT3PiNOWn12+GUqXaf6NKulN161vsHACPW8\/CpClKqCzWUdn7tfsT6GaBiB9lfkoU3Vwa+uk0YMR3UKCWSKgHd2g\/Wabe+v73u6x7rRoXV\/x6af75NsdaP6nAXKLIm6kv9gXcmeKZVOr0x1uzR0hf7uA9bN9\/DeJ+GnSrY7\/j1B1KrHssT6454x+yy1N2EMdu799wPyETbfJ85V7w8xUscZ9XaAo94ZC5ev+qe1t9y08vJzze3SUOwLLeE3HUyuOmOyYbirF\/3Pay406xpyr69dtDi8JLEMi\/6TMLRqDgnWFWYzo1gzTDjjE5dfZr0Htrftsd3WJ0xSdpc0bpvGSOI\/bM2aEfn0ihxJkg7LRWUYg36\/3zij8bIVN9yy9gfXr7i43ufGacG+38RuUvtOBnAcNPrt3wRnfPhsuaEYg3t\/\/qB8dklVMoI9T\/9\/1nrW+tiUWSyJt+HyJTPNSzXUt32j+QXeciCSJuAWqXD4sLVWr6yylpKRY9QyRcBvX0X\/Ya+1ip4ytVJfwEkW8LrOGGPLGAaTcm2QTtvmO22TVRzR8i+txzH9vJOs25hjf966Rb4SyDzS9\/xmywPNLJPCIqAicTYtHgp\/qer2hzZb\/9Ul7mbzaeGvAxzcu\/lHm7d3tG9\/bP1m+Tho2Nzq+jrrieHXP9n8\/IEDr27f\/C9rWn\/YCrn1318P17L+1ixcLO8ONQJdW3544\/qNWHls2tD6\/fB\/QTOqP7dIfQ3hzPpaQdLb9pNNbbtfbNt09yO7X+nshPRPqCyvnnWW1Wfb3Zu3v3rgwPOb1X9ZUp3eav7bWF3B6H5y3YaH2rY\/t3nD+i3Wt9lbtozsj2ei\/w30Dtm15cEn9\/b+Ze\/W3+Lpxmwk\/AlS\/VzRte0u7J6opx\/zuDNx19ebb4bH5tLuf1238cnt25\/cuO4u9T2OUTUjIbXjkU3mRow+ETfgu7e2v3qg\/cm71Cdn1MDN\/wKquR3Z\/dMfbdz6\/PataPgFK5LbG\/eGX\/oODprrg3Lnv8OwV84XnXbkJ4HKpjnyUBNS9qnv11B\/7b\/aH7ETun7L8yqMbHrGdOdXuod8kXeEyTlVC\/\/e+uIbtWR85IDZrBwaWep+\/ekfqUDU2grnf+\/k\/7e+vkbihvmlBGFnCe77+V1Pth94tX3r3WZleNP9u98L96RfGbU8JenHZQ5s2ynbi9WfnF8TbsE4yTi8Xwb79IMP7u7+S\/fube2WT55yhrmXpKtGK9iO+YRpsBD4aFNjzPvhqxpmy45IsGvLug1btiNU\/uinu2W57FWbyzo+G91b123Y3PZ82+YN67Z0mV4f7k3X6U0jhodP4l8SyAAB7ycXL5hmthPq23nX91vv2IRb58Yf3dj6WJc8P3s\/sWiBvD5v1lIJruQfb257cfuWyJXsqZ8l+w\/quPWb8napKxi9bXdvantxd9umnzzyoumq+w9P+H\/UHkea9\/QZn5BPqQX37jE3hQ1f\/SfCASBVnAm8tAmLJSWbdvZNqK5v+og13EBACFjDMcJvsPXvVmHkkL\/vP\/96WJZJZg3vULBfAoWZjZvED63u8IIk0brCbGt0a4aaCy60vtKou22rvC84ZXfJ47ZR+xH5qAtm7Y67tr7Yvvu5Tev\/PbwYM02NTfRrRYfbH9n00OanX\/Eb\/\/n0rQj1kP+15cDRk2tn1X9Idj3ibFL7plWpi8Ew+t7ots9JzaIvhtezr25p\/f76jdj4NtezOw+ZJrirL\/jbmMvS8NZfscK65gPWF3ibtaOSONz08bd7euSr4qYlvX3o+lRGR+DI7rtuvWvr87vb7l93V3gVXX3WTJ++gA1\/wgV8pM5YYwseE7o72sNfqtre2Wu\/ApMNLOXaIPHJ+hWsrraf4hkt4aOMamEEy7+kj2Oxzzuq9fR+Q71P\/5u8S85XW2euJ7F0\/Fns\/zlNrzXWyjUB220tK6boL1Vte+WwLI29Zy2IfjeH2DFjwXzz8jKM4LudbY9taevoCziMrVm8XF7RDfk7n7vvvvvbOq3leN1lF8fcDLz1y65dbL1xMhTs68bio6vXLyZ4qs5dseIz5vLeO2eZ9cZCw9+1feuT27ukTXfVgkvVm0JrvrjcuqMc6Wy7\/777nus0v1rM8J512WLzfaqRnZdQoPeV7W3Pd\/YexYsqMqhRpTWLLjzL3Nc3Aj0vPrLhjkd295iBCSYtnC0t6ucK40gP9m5eD798IUdtqXfOhdbnAozg4e4X29pe7FbT4AAbCamBvq7OzlcRCL1zLr+8zrQi0LN7y\/33bXlRjDCqzr9MrRq9cxbLXKj56t79XNtuNOxoVuzAs5b10rfKq4fYuNXUQf6SQHICXv0yr2FMnfPJmtjaEYcN9LU\/t0WFEbOS96zFi+O8qumd\/dUvz\/aaNQJ48U2\/tcEsGUGiw9dh8ztEWh\/BOhine+vnnGkYkSAT6Hlxy333b4l49GULzDCEqoZR2dRkbV+qbO3c8Js7VC76N9C+Uyx11zadG2kAHV34WSuK+vdv3XjHxq375R0c3rpF4fAa3ZLO1Xyi3twRUQV1jfHemXKafkONEehtb0OofDeoaru99X+3WG0u1yxaPFNQokLn9ue2qxWVw9lHFMNV6\/wlgUwRqFr0zRVNsidiBP1\/6cKts\/uQeQ3DR+sW\/4\/LYlYRbiPwTuf2J9vacUs0rdD3fTOnk1S3S3hm+H5qHOna\/uTW7V3imEbVZy9T33ZhGOne0+vOnePT\/RrGlPqzdRRMFWd8cxbIU7X1HSI\/kreDGVWzZ1tRw2q4ZtHCWo+pqzDyo9b1G7fs\/nPALFBJoOfpu\/5XymeAuKE1JSjVvjG6NYN39uLPya5vYO\/jW3vUlk3K7pLGbcPX+FkBZhhHe3Y\/uWXr8+FpM82Mn4S3pQwspl7p3I8rp27BZ+Sqe9f8DpHWR9Rbfw3DO3NOXUwTM+pky9\/o7pJNHauGd9ay\/\/F3tVZ4HezrfqWz07aebZLvTLHq2v64qxf9twurJQj\/5en7npNddFsFqHG4oVTJ4f0HZD\/dVzsj+gpRR\/mbMQKYoCM9u5\/buv1VtTxXzU5bcNn5uLN701jARy7yscYWo9f2papbnpE1jLIm1W\/KtUHCBvQrWIb\/z3hGe12utwTVvamXfwvDL4QneRyL87yToMOY4t5fbt5pfk2J9xNLVlx1ufVseGj75l\/G86yY01mQbwTgeTkzyeOdWnv+11Yl+A+XeElhxfm11n+HdHuqZi1ZNg8RIcra6gtWrrq0vsrrsUrdHl\/tgq+tWj57slUQ9eeUphXNkU\/Mmoc83lPrF1\/zvVUXh28thuFtWL5q+YJwx6il6iz5zqpFcm\/FHeV\/rloyK9KnUe6LGgV2XlZ9bcGHrVuVAYsWXrMk9kaHhtMV7+yrrl+xsK5KvYldzjFN+vZKyySU1SxeeUVT9RQP1BRy2qKV315Sf0q4ZnnVnCu+Jisw24neOVddc+FZtjHi2OTZyzEucAlfMh5vVf2lq1ZeIFyMqoVqLqaGG\/ZMm7PsKrWFhFMdUtM0J3w3rW6yvZ7tqMYsCaQk4G2cUycXZHVj42nxqocd1iPVUEU57Irrr7L2PVAQJe4Zl6+wNg0Drz7yk7hLxqgT4meqFq66\/rI51Vb8UnU80+qXXLtMFtRWkIk4rAeBaIndo9UZ3jmflJd\/DaN89vzGcEhRh6J+D7+4u1st9w3PrPmOrYvqC2LMmFK7YPmq5Q0JW7OarmmaI1\/zXK7e7mEVRv9B483LY0Llt5uXWY3jBclVXzu\/xmuRRyhcdM3fOUPhyGJ4tAHMkcCYCEyuXfzt5si3OZhteabUNn1lVfPypqnWdWuWmsnUecuWzArf4txqTfI\/vpogjKS6XRq6gtkyEg\/up5ddvyp8PzXSvafrjwOjDWPqJ5pq1F\/rN0WcwVrluysWnVUViY3w0fNX\/H3MP\/7zfnLFquhoZsDcWYtXNjcvMV+tCb6zPfWeSNzQqjmEaaNh+7pCRoJoNIo1w9R5f9ckb207svsXz5sfkEzVXYq4jW2Iy+rDKzHAWrDii86AJgZHUu+c5d+8sO5Ub3hlhCNVi759vfrqFl3kNq+lK+TmgAo2mXW2dYPram+P7EGpClPnrmj+zpI5H7B9GyXYzVp8zfdWhV\/6U9Wcv5XzV3xZXtsy+p7fGPfbsuJwU6307Py9POb56vW7kFQ5fzNNoG7xiqj75oIV31xkbWOdlsYCXl\/kYbtwXdSPJraEzx\/53+oLEEKTrA0StljzxZXLzo38+4iE9cwDqZd\/CHF4bEnxOBbvecdsP0XS2\/bILnPHxl276MIZBpaaV1hLx8MvbNrSbe2tp2iEh3NMIKr78F0oqjDzmaoLrl8b83NLy\/UrLpjhs0yYvdyqsNx624Phrb1gRfMta2\/5wS1r\/\/mWVVfMqf9CuJGrwlUMT9Unl61quWXtD5qbb2i55Z9vaV6xaIb9BRPHUACTtcIAABAASURBVDxVc8yvJl2r\/hnWLWvx59vLmmqcJ\/jqFpkdtzTf0Iw2W769zHo2kNbQyBWqz1uam5tvUl3bRmHW8M1Y9M0WtN2srG9e8Tc1c64Kj61BVdA0rr8gfJc3qhb9g9S5ftFpqk70r7f2b5av+oGyVw0TTcOkafp2qur6sDq5ASNSjSxXvcTyVNXwq7Yq\/kGZbRqPzZ0ZF8Z27amZf5Uao2ruHxZZVmJc4PLPt7Tc0Nz8Axixatknq2xGqLm4\/pa1CguOfmdJ5CVm9GqTQPcb5trEMJJ9SaTtBKokECbg9B337OX\/rC7StSut91bMjvY1dZ7psLf8s3llWg6rN0Dj+V31olXS5tq18nzi7LQhHKsigciI7Xdq45KVKgJIGFl7y3eiwogKMnBYBCIdZKI9Gpb3dL8hN9Xkb6Sa+jcrTQRrb\/lKzGvahmGZgdioOlp7yw0rFtU5Ix76MpyDCpP5weXq7R6G4YSgzjHUKCJjvEWFSvso3L4ZF1zTYkaMllsQnBfUfDIWnYobq1rMiBQbw51Wmb0yIYFMEcAlinsrLj\/lIPijHGRxg\/2+Zrvyv1A\/54rrsSRQd2FzTRK7aRKxyzdDLSP+OdHt0jCkAm6k+n4a\/U09Mff0sEuujVok1FzcLO6P1LaisAxRHnoD7soShWI8dHLtgqtWRWIjfPQCHRutFuTPVIlmaqGFdY9qcBVeg\/H55lzVgn4ht3w78gKNeUo8a6udoVXVFA5JQBlGemuGmB7dNYtvgGlKVv6NtYqxsCfuzhqpFZmdcXtq4zK1EvvBLUCA1WbtueGAZi2T4qy7sJha\/u2WW5QVa60Jck9VC1E0cZMJM8m15J7dJHtuoe7nX7DWTQqa+Yu13JJrsUZdewva+YFaH2JSotezcezxNiy35mxti7kznha3wL5ftx8xe63my1gmh0jigOzImvXi3chi1wxmVSTe2vB9U0WbFYtqJ6PQEkz6sn8wb5dqMZNgAS8+NYLYYjVu\/tH2m5dsOLEu3diBnLbIejCzXMBsA+Et9jEqsjaIueSskwzD7au\/eCWeL8xu9cOgddi5CEln+QcUSR\/HVNNwUcfzTuwwVb1os6vD0eyfVzTJBJ0WLlnbvMR6U506LZ9+aUsyAtZuRLIquT7mKbc9dCcyptznm+JNo174fI\/XZ3vxNlwa\/Rd1pth236MPIufxJfxXTDiKl1BSd6HqjeRXmTSSYSZpG8QmjwCYrSWPd4rPV24rgBrYvXG1+fOPG9sNORrs3mN9HZTnQzXhxQiq9rQ9L19HF\/PvMHCQQgLjRiCFw45Tv8pnE4eRJEcD7c9Z35qUiRWo2+NLGs3GNPoko1DtqoiROmwhIo0ohquW+UsCGSKgHCT1Rao6i1fz8GHry38qnP+UQF38ztulakX\/pqyga45BSeGhRrqxUTkp1j0JVg5jWk4m4TAea4Yk3ZmckxMr9yRAYJ6bduKZnBhmuJEZFy6qNcEe\/s0jOxN8Glq141iShU\/PzN9QT9sz8v1P3tkXWK89ZKZltpKQgLpEI+\/eclSDJ6ZewKsWkgYfR6PjkE3uR+PQYXST4RzMSPnEF67LvyVLwAy0JTt6DjxTBLyzZ8v3HYS6t\/7wxjWtra1rvr\/Repzz1jfYXrh+9UXrdYYpc849K1Pdsx0SKDYC+oMwfCNVsU0tx1NMBA7tvOvmG++z\/jGNp+rUeG+\/KqbxZn8sJb5mmNy07GLzm0RCveqfyJifjszuJAT2PrhJvjDbO3NJvO\/eyq457C0hAR4gARIYPQFuiIyeHc+0EfDOufxrs+XzuqFgwO\/3B+TN\/p6qv1lxeeRjtoe3b5Mvwzei\/h2GrSGqJEACRuhA22\/kA9t8IxUvBxLIYwLDgfePys3OMKZ9ZkHkZpfHNheSaVwzGN65y6\/54pz6WfX1p\/Xpf22evTn8y94DnlrVe+PiFXG\/6CR7pjh6YpYESIAEMkaAGyIZQ1nqDU2ecfn3mq+5uKnuA1N95k9VbZP6gq+F1REy7\/b4T6lXd9ZZCxbZ\/x1GpAY1EiABI\/ifvUad6SmNixfwjVS8Ikggbwl4q2fiSXVWfdPF1zR\/O\/x9W3lrbcEZxjWDmjJPzbwly65YtuyKZRfOzPpbkD7QdPkVqutllzVV84lBTcf4\/FZ+xFwb19fXTh2fDtgqCZBAMgIMb8no8NjICLh9NecuXn7t9c3mz6oVi51fWHvK7MVyZ71i0QzvyNpmbRIoHQKe2gXhNaj+l0ylM3qOlAQKh8CU+gvNm9ric2vC3xBfOMbntaWmcVwzmBiYFD+BmvnY8FIyr6b4B8sRkkD+EeCGSP7NCS0iARIgARIgARIoIQIcKgmQAAmQAAmQQG4IcEMkN9zZKwmQAAmQAAmUKgGOmwRIgARIgARIgATyggA3RPJiGmgECZAACZBA8RLgyEiABEiABEiABEiABPKRADdE8nFWaBMJkAAJFDIB2k4CJEACJEACJEACJEACBUCAGyIFMEk0kQRIIL8J0DoSIAESIAESIAESIAESIIHCI8ANkcKbM1pMArkmwP5JgARIgARIgARIgARIgARIoOAJcEOk4KeQAxh\/AuyBBEiABEiABEiABEiABEiABEig2AhwQ6TYZjQT42EbJEACJEACJEACJEACJEACJEACJFDkBLghYhhGkc8xh0cCJEACJEACJEACJEACJEACJEACJGAYhh0CN0TsNKiTAAmQAAmQAAmQAAmQAAmQAAmQQPEQ4EiSEOCGSBI4PEQCJEACJEACJEACJEACJEACJFBIBGgrCaRPgBsi6bNiTRIgARIgARIgARIgARIgARLILwK0hgRIYNQEuCEyanQ8kQRIgARIgARIgARIgARIINsE2B8JkAAJZIoAN0QyRZLtkAAJkAAJkAAJkAAJkEDmCbBFEiABEiCBcSLADZFxAstmSYAESIAESIAESIAERkOA55AACZAACZBAdghwQyQ7nNkLCZAACZAACZAACcQnwFISIAESIAESIIGcEOCGSE6ws1MSIAESIAESKF0CHDkJkAAJkAAJkAAJ5AMBbojkwyzQBhIgARIggWImwLGRAAmQAAmQAAmQAAnkIQFuiOThpNAkEiABEihsArSeBEiABEiABEiABEiABPKfADdE8n+OaCEJkEC+E6B9JEACJEACJEACJEACJEACBUeAGyIFN2U0mARyT4AWkAAJkAAJkAAJkAAJkAAJkEChE+CGSKHPIO3PBgH2QQIkQAIkQAIkQAIkQAIkQAIkUGQEuCFSZBOameGwFRIgARIgARIgARIgARIgARIgARIobgLcEFHzy18SIAESIAESIAESIAESIAESIAESIIHiJ2AbITdEbDCoagLBYFDrWVBiugv6\/cGQ6ji7dqge+VtMBILH\/ANZvZTzA15IOVB+mDK+VjA+jC9ftp4jAgxcOQIf223M6iS2Sn6WJAmOSQ7l51hoVWYJjPqiDg74j2VzRTVKQ5Nc4EkOKcYpDqsqhf1L6xMTyPqGyKDff6QUn1AST0GCI396Yu3aJ\/YnOBgpTrNa5IQ0tIGOe9e0\/PDxg\/GrHtp1Dyz7U\/yDoyl1dPfWrntam1vW3vP8IaPn39e2rLln15HRtDryc\/Yr4hkc18gt4BkjIJAykhzremJ9S0vr2keLaE4P7bxn7U93HUqKqXfnPTe3tKzdCAdKWi+7B9OxfKQWZTw+jIeRIx0U62ebAJb4R6z996x2nejeXYSB69Cun669Z2fyuGXkZeAa6NjU0vLDJxIshrJ6vcR0lpTqm0+tbWm557f+mLMMI8mhOLVZlD6B4MARv38waX1\/147H77197drb7np425\/6k1aNHAwe6njq\/jtvW7v29nuf2vPXgciB0WmOJbejkYQr\/IGux29rabl57ZbUzyWOJkebHaX39dgfHKL7TnJIVcxL1ziUxqpPGR\/zO+oTY1oaXcEhhP21j2ftahmdkVFnZXlDZKDjobVr1\/3w8deijEgjs++B5uYH\/phGxbhV3tl2W\/Nt296JeyzjhWMzVZuDl3j9\/tid2ENttzWv3xZZWSSopptJoux7sLn5wX1xKlTUNn5qZuPHquMcQlEo4MdPrGU4lLZEdR3d3b5fPdtzyudX3\/zdhacaVbPmNZ7dMN2Xdrtjqjh6lM5JsZuR1WvP3nFx66kjyaFdT3UMzr5yTeuVHy8iFHC+9wPJxhPa96u2nqpFq1tXLZyWrF7Wj6W0PA2LHI6W+fiQCSPTGAer5BGBnl\/evnbd2viPjuNqZoIbTlEGrsD7fn\/SuGXkLHA5F2zRQaai9py5M+ckWgyN6\/WRuvFkVKc1zDunMbx4ih5j1KHUvbBGugTefPb2dWvX\/uuueLtQZhvH9j1w+wM7+6rmLvzcvI8EX\/rZbXfuTGNP5K1td2x4Yr9n5nkLPze7snvbXf\/yaJIHKLOfFEn0kttZOdEK\/52dT70UnH3VmtavNjhPGa\/8KL0vamEQvQKPOhRrduZdI9r1YntMp2TUy5JRn5iOVWnUUQHqaDCNivlSJbsbIkc6fve6x1Me3P9yV3IAWCqk+TaSYPTbt9I\/URmAF5mjT1eF5m\/wmD\/FRq9ZbSSJ2jxONCjVXQJL0u4icft4BSzO1kqShisbvrj08zMq7DWUhUl2vhOTNEJB\/xG\/fP7F3qBNt3d3qO+QUTm9zmdemBUfmnfJpXOrTT1cXw0zfmtJbAifnOZfNdi406HGkmgO02w7XA3WjmxSwifyLwikEUl63+k3zphe50HtKAkei5rBFBEDvuN4R1viiVOXTRIfibIiTkadHveqM+s6Ap1ZFi851NcXqpx+ZswmYmKz0UrixhO7G05LICmQJjjLUZxOI\/Hig5EEYzptWmYoT08QtZKStE5P609itugi8ZUQv21lcNSFba+GgWf6dmZvvqD1rj0v+T3lnt59L6V8NAHGhIiNpBfesREsJxIHrqiV5UiNQf0E10Di6zC9iU3icbj7D6QZEhMErtE1jsHGn6mRe1blxy9a+rd1UYshzDVeE0owroRdO2AmdVjURTvR86WmKf6gUDu2tYqaeZdeMvd0HIuReIeScY5pQBfAyIQm6UrjquRT4117OvzlHs9fE4aSnu3Pdk2ce9XXL5p7TuPcRVdePb+y97e7emQIod6ug5G3fgTf7Ok1PzNuGAMdv9xx6MMXXXfFeY3nNJ536XUXzxjYt3NPpKqcHk7VPCa4MlWVUND0R\/uSWxXjN8WJqPHOW\/1G9fQzHSuqFJel2R1OjidYXCVeA8uaJI73qUs9wa0Zjmmu7uIuDMSCJIdUhXiuYcBOxyJQVTV\/cSjxEMwaCZJkJyqk8Z9x4jSWbuUkrjqaQ2oWErh+sqHFGUBeFUU9a463Zf1\/2Nfra1z6henBA\/u6LG939jlw4InbWppb1q69GeldTx08Zhhqh+9R7KB0\/bwZP+b7RMxdt1+an62423pneP9LD+sTb\/7ptoO7H2iWd4X88YHmDTv6jf4dG3C29T6Et88zAAAQAElEQVSRgYPb7l3b0rxm7dpWpLc\/bFsL4ZD6yEbr2rVrmlvWP9zxp2dvazbfnNK\/487m5nvbbYFooOPem1oePWAbwjvbbmt2mGoYIf\/+x29vuanl5nXmoG5\/uOPdyCn+ziduR0foLsaSSKWwtu\/B5tt\/02+8u+N2DMX2PhH1XlOr\/ZbbHu+KmHjs4Laf3tzccvNaDLbltodf2v\/s+mbzXSGHtq1vVpYfeBQtmSXhPtRfdfS2NuttKE4g70Yty3A0Pklgb37gWXn3\/rq1GH7YMNV4dNeqxOwOyu073jX6f4PxmTNlNmK9iSXU3\/EzCyNaW3vvNnVtKGsNw3yPcXg273zKdl8xj6PZZrN9M2d0PboGE7knTEkdvfP5fjlm9JoXlTkdLeuf6MLlJwdU77epftfd3HLTzfe0HdzzYLO8VSfRpKjzYH\/MtRd8c4dFTE3K2nvbnOaqE\/mblEDKSIJJ0deYGTHULN\/2ix3mh2ge3W82njBiGIb5IuETO+QNopjxlrUP\/K7fOHbwqbsQLtYqb2q9Z8ebQbMZlaApy4vhy2txaQ6oUsz+TQ\/sCwc6\/07Ej7VPvaGOqF8cXfOohMHEQWAfotgD0YFOnWv+9rbd3nzT7VFXO+KPvt7C8SHx9ZascUNd8PHc7cCjLc13Ip6aJpjJa5EScIgfhM2KVgIjm03vtvKGARTND1hubhiJGsGcOqNf5ET7\/JpRvfWeXW\/pDhK2GakR0d7fj3m\/qWUtolbLzffs7NVHEpA0uw5HSyN5eAm3pSO2CikP7ukPXyTxw2k\/bj3RN5oju+5sDpcgyCOgKIMRmlpu\/1lHuDXb\/OKaxZVpD2hhS0r974F9+wenf\/4rjb639u8L3wRimSS6JqVmYv81MKH3tDa34Iai+NuWE3JmTIqLPDpw2SYx5VLHMC\/FX0iUU16AuLXnXdjw1J3o3bwGbv7pjh4dtxL5ONxqjIELLYTv\/nfsOBQ1ylDvNtzeEbf0vRWHERNiAldCqkkax+Nj7AIS7aM87pIP\/TZHLdjA3xFkzHuBvCfXNhcmzKgVQuLAZfZvSxT2+GsJw4jpwlwD9\/\/ugbUt5gKyBQu8\/f5wuFCNhg6r5WUL4pXp\/o\/ro2ZTf0y8fsYhdb6RkLOCkzBQx1mom62VbhLq2ven4PS\/Xdo4pXf\/3gShpLJm5qcbasJPXdNOqzL8\/VK1v\/3ZRzfd\/ugBtXIYOPjUHT+959HfiOMMeU+dOe9TM\/WWXPWplcYRvz8GdLJQ43QZM1C0SfuID9uiYlT0Ct\/qBy38XD2EqQcGeV95yK8uPOu5o7nF\/lyDyoncX67w9h61CLYeTNbe+7yOSeZFa1vw2LwPux3mWTfhUlcPFGqdZcUQczhW3DNXd6YBakUBRQcWWXWgRBYbSlFPP+HfB1R9Mc90DbPrJyKLQCz7bYsBrAYTPFtZwNQf5UFR4UUV4n4d\/6FMHezFE5OJ1LEwUMfMX\/uqL2Vl84zgYXnGlGfq25\/Yb7t0ktzXEjo47I+\/3sCDmON5s0\/fakxLCiAJu2Y2TO3ft7\/XV99QN6thenDfrpcG4vQ50PHQQx3e865b09rauvrK2QN77n+qyzh14Xdbv1RnGHVfRmnkDfBdv93lW3D1dSvOn4a73R8fuOPxbt+nr\/wuzlxz09Wzeh56Bt5rqJ+PX9m68rxKo\/K8lThdfRDDeGvb3Zv2BD+xdPXNra03r\/nWF6p6fnHHw52mPerQjv4PX\/KtFnXoui\/4dv18lwQso3Lupz5iHPzjXrOeatjf\/ruDvsa5M5Ru\/cYxdWD\/z25\/eL\/v89+8SZn23SvnVXQ\/cdcD+0xPHuh8+PafdfoWfcs61uTtfvyOB\/6oe7Ba1X8avtp63WcrjVPOuw5Dibwlvqvj9Yarb0LRmu9+tdHz8gP3ytvwsPL46b07\/m\/tJdei59Y1Ky\/y7Xw0PJhpC1e1fgmWz\/gSTkv2FrgkQGCWOpqAJI4acQ1L0jUOXXfeKUblZzE+c6ZUI\/I7sO+hO554s+qileZYvrv0nKE99\/5UlikDHT9\/oKPifHXR3Lz6yobAngeflOdMOdMwps2ur+x\/vcuKA69hBWwYf37NqnOk67V3K8\/8WKVU7mrvavhv0sWVje6OB+4TYGbvr\/vmfdW8vm64uuGvDz0Vftdigkkx24u99t7ZdsdPt\/k\/tvS75gX2rS\/WHNp5791tkYcu8zQmyQmkjiSYFH1564\/M9Lfv7Dvz0m9d\/6WZySOGdP5ux17PReZFteYbTRVdT95z210P9Z39jTUIGi3fuqi6b9t9j8slNIDg84ueqi+ouq1rvrv0E8E9m+5WH9BDrDO6u16X5vz7XsEs+7u6rFVIV1e3Mb2uzm2kDAL2QCdtIcV98c7f+Ov+6zcvmq5XSoYKlTrWSXxIdb3FbRx4ErrbjLlY8HW0W6OAJV0v7w+e0XBOpaE4JArCqJeeJGkEcxov+kXa7X9pr0dmwZygZ\/\/V2m9K0mbkZK3Z5v1bX6ju++W91vuTE5IcQXixOnnzqQd+2V\/3ldWIvWuuWzjt4FMPY5sbxxKFU3XrCe5r34cqImpDsHxmAwK4GeT3DJ2zVDXWuuaai6refOKOn+3Xt5AEAU2aYWp07dsf\/EjD7DMbZk7p3fPbnrhEkl8\/yfxXTWiC5UTcngwDF3ls4LI7aXJj0KrNC74xt6LrqXtvu+Nnfed83bypXXtR9Tvb7n9ClkbmTS3uLbW+oS4Dgatr127fwuXXfeM8LNBglym4XDfcucNf96WvXzR9klkiCRZO0YHLoppwaRSvcTQVdwGJcjUR8RYq6Dd6bQn+yYNMIodKOS+wwhQTe4K1hFnBsHVxSe27e+6967Z7d1deom4vssB7+IHfWmtS1O\/\/7cNPBeZ9A8s\/LGUvrht4+eE7\/z36Mo4ZI87SkoqzrhitJOIcXau0cq8hlExvaKhr+Jivt31X9BxYJGo+vXTpp2usjGH0\/LnXOGP6dDNf+amrr15U2fXQ7Q+3PYrHE+PT37hWPdngmG\/mF5Z+vt4HzZSB7jf7PR+ssTmVWayu8OShpiuOP+LU1CeikmFgKftl9RCmHhjUR2aSPdeYJyToTo49eX\/XB60r+spPV\/b+6p77f6dvWYY93JnVJTm07Y57tvlnLl1lhbKad3fgESD8PhrDvrqTE1QKs3VgaY1+psAh3ICVXKdC1PQzMTx1iv030WIAcSzhs5Xt\/FjXS35iooVBuMmoVV+qytZJ\/bsefiYwz4r\/l9QNdjz8k6d6zB3VZCFrIN6TOFo07Y+\/3jAP7Yj\/vIkzC0Pc2TPzzV173vLNbKgxKhobzzQOdsoORHT\/xwcGQp7KaZXqXVm+us9\/ZelFs3wRR4muW73gG0ubpk\/zoe6hnb\/qCn78S99YVKfO9FRUN1191RwdQaJPwyb8r3Yc+vDCqxbVqc9luD3Vc5ZeUh\/c\/0IHHpj3\/WrHoVMXfuOKxupyw3B7Kmdc9M0vSLxCIxWNTQ2egy\/tsW5G\/S\/t662cPTcS3lAlVvr37PhTsOG\/Xj33jAoY6qmsW\/j1LzWEurapL0bEsf0w++qmauvYom986ePBrl\/tPBTbTrKS6vl\/N1cZbCiDzz\/T6H3NfJNIJwZTvXDF0sbT0bPhOaXuoq9\/Xg8mWXu2Y0mBGOpoApJmGwkMM4+NLHln57YDE+Z+eWnjNHMswPjl+dWHdj2vdiWGBgIY+TQ19W5f3d8uXfrFmb7oNw1OO6vO99cueUroOXDQ+6mFcyeHn1RfP9h7SsPsUy1zquddOldwVdZdtKDO+GuXQql6xyR+Y+EM1YlnUvXcq66a67NOGdGfrh27cIFddXFdpXmB4dr7xoJqXL76fQQjaq1EK6cTSeKh8SBEfLGhekqFxwDyVBGjvOHzXzTjidtT87eXzvX5+ysXXtFU7UHILK+e+3fzqwf271ObHaqpCXOWLp0TvjQXfWn+qYd2vdBluOs+Nj148IC5NBrY3\/XX6QsXTQ9vzPUefCNY19CAlxX37EgRBGyBzhqV\/48P3IvdkC\/\/w5Uft+2GWAej\/qS83mIbV+erC35CAnerwYKvf+8ec1SGEdr3u87g9DmNvnSQqqaT\/yqYCIlpRnJHW576z19keqiBCfrC3MqBg6+9iSojbNM279VNF889ZUBmMAnJ9MMLrFESCAQMX+U0FUE80+Zd+tVLPvUhVZw4nFbU1083XuvosO6Fhzpe7vWdM1ct4FSQn77wawvrVGOG5\/TGpRc3BP+0o+OIahC\/8QMaDlBAYKBjF67e+voKo2bu7Er\/n\/ZZVzUORST59ZPsJq4mNOFyItJBREug2Zw0uTHqfJsX1Hz+krm+I\/2Vn7vCuqmdPvfSedUDf9qndkSS+HhmAlc11h5zp0\/z4U6n7MKvf99D96rdkO9c2WDfDcERpySjataNbdwsTrCAVBORbKFinpteksChUs+L1bzCnmItYeui8UuLphv9wbpLLjJvRWqB9\/l6T+8rtld5Tz1fr1er5yzFcsLfvi0cKKw+E\/9JyTnBqQk4J6hdCsUDHbv3Bac3qFAy55zKI\/v3qVtP0oEf27Ot3T\/9HNw6rWrV87\/xpbOH9v9mn7\/+ymv\/tkatdK0jtj9vbNuBl2E\/qWK\/rdRcip+a6MlFKsZ3GeUaKU6U06NTXDgJn2ukZvzu5JinXj+sVdappx7Pwd9s07HXFu6kupkeeH7XoeqFV11Ud4oCo+50KxZWH9rxq07zqGHYVndWSZp\/Dv3qoR3vTr\/oK3PjrKUSLAYMddtVA2yUh4X0n62Sn5hgYSADca76klaWU1Qaqj5fPwNieQBoR\/ZsU29HSBqyEjm4sj\/BekMdGhUTZWW+\/LqzZkjPvv3+U86Z+0HVYcOcBs\/r+yLvtVBl5u+Uxs\/N9u7\/2c1r73p420sHA9PUV3vGuUzNur5TKs2\/SHrfeteoPSsqRtR8uBoH4smhvkOGx7\/\/8Z89\/HBY1Jur3+rpMdShyjNn6nZxesWHayLZGerVUet1JPVUVt04x7lRi1Oi5M2eXqO2Di\/l6VJ3XR3uce\/g5eKenrecZtedVWu8+xaO6eppKL7KiImGfkPdobf7jFOiBzOp1jaYNBpOAUThSkBSGo9vmBwbWfrOW9iG6n0xMmUP\/7LLbwR7e7B35Gtc0OD908M3r73z4baOg4GqmefMrHZcNB9smOk7+JraPTnU9Xpg+ozzzqw1rOecg92+M+v0LPoiFxVebz+90uj349FC9e6YxJqa00c2ArP2oZ6\/Bh0XWOXHzqwM9eGaNCswSU0grUgSrxlf5dRwcRoRA7Uj0bHm9NONyjNqIpdVZaXPCA6oB1TVlNG7SweTh3\/2bNcxI\/hXXJoV9R+b7n\/dfE\/Ia68dPKPunNl11bIxd+TgwSPTP3YmzEkdBKKuSZzh3\/PQv71RffG1KXdDDCP19eZsHO1D1AVvJHA3o+bTc6ux4HsD9YyBlzq6PA3zzgEYxSHtIKzOjfc7pkYwY5E2T61Sb0eG8xojqCU8IAAAEABJREFUbBOtROZ9WtU0w38EsScpybTDi2XeR+Yt\/ODhHRtabr\/3qR0Hen0fbmycXonJQhBIFE4rzpmHzfh9+9QFZ7y556V3q+earzSqIF\/u3\/+ELTDuxt2jt+dNq6uo+T01HNCsg7n+k+v+B17Zd9Coa1RXrzFtTqO+qqPtSn79JPFfdX90RPuo5UR0N0lytklMboxqA9ev+iO\/Hzy92qistsetU3zGoBm3kvl4RgJX1N0f5vh\/99Cjf66+6JqUuyGom4QqjkKcjaNISfwFpJqIRJ6lzhrJr20ubCuE9IOMwp5iLWHvoqKmutKoPt1cNouZU3HnGQiYgUAVOC4wcznR36\/injqa6jcl5wQNxOecoHIpFA90qlByTiNuhMapjY2n+\/e\/rB\/w441fvZz+VO+ZX7riU+oMqTFw8KlnXx7wnT7N6HzicfOzM1IeSY\/te+CBPRWfvfIicwM9Up5ioS4V47qMcg3HJZRWjHqzJ\/FzTZLu5FC8p54j1keHUMN+\/SMrcqinJ+h4nKmceeYpRt\/beARQVaLinipI7\/edbQ\/95tD0L14xN+4WLRqNsxgw1G3XYcyktJ6tUpwYf2FgDiR21ZeksnmGlTjsNKH19+PV\/6S3kgQOruxPsN5Qhxx9pcfEsjM\/\/kRme5zt6dnX6a+oNN54qaMD4p9QaRx8aTcWmo5uK+r+6+o1373qcx\/x9uy8\/7Y1Nz\/8Rx35HTVjskMxJYkLvJW1Z9p+GuZfdMmXz6uV+qEkDdXMm1MtryP1vLzf\/5FPzcU6Vs7KzzQUTDKYdE1OBsRIRjLdDtKs56uyTdmZZ57zuUsvufhstZVRMeNLq1u+e9XCM71v7rp\/fcvND8lzg71Z9bJ2d1eX0b\/\/Nf\/Mho8YdbNmBtSTas9r3d6Zs1K8y0caGjLfZiY609wRSDOSpGHgSHxjAiKle0KiRn2nRV+af3PJJV9sxKVZ0TBz+ruvdR0xul7trj5rpm\/KzJmnq425gQNdvR+eiVeTEjWYqjzoT\/E\/G1I1kPp4QnczPzzo79iDl5kHOjsP+s6eWwc40uBIkMoZcdKMNOJodzzajHSRXnjR9d3V875505prls4+tX\/\/L+5pWXP7tresYwnDqbtu7jm+g+3q7Yk9eGlh+jmRW8\/EqVE3s4\/Pu+jSpeeN9K2AVv8l9Wdg7x8PGtN8Qy+ba5KDQxUVclXHgzDq6yfp3TNeT2mUpW+MGbLUm9rit5rQx8crcCFuRb95M75doy9NuIBM6Fmj7yvmzLTnZQRrCbd6PVzdfWJ6S1KQ9jcyJmkj+aGEnJOfVqxHB\/btOxia5jtuRpKXuocmV\/hf3iOfqI0z5GDPsxvu3GGcd\/UVDXo7BLsh8kmZ7157nXx2Rr5PJHK6v+OBHz36xoe\/9M1FCV7rHXWoGfWJEeMyoI3AKTLQmzRxaNvPdhz68EX2bSk5kDod9bNVkhMTLwxMexA9A6ZiJikqm3USJXrGE4asxA6eZL2RZGiJLMmzcr2SHWe7Duzp8HuMd1761bZfKfl1l7\/c6N0f8y1m\/Qc7XjronzK9cdElV1+35huf8u5P6\/Mj6uX67j9FPQbjCSTBkKbVnOHxByvqz2lsDEvtFMPwTPAY6lD\/n\/ZbW47m+f1\/es2+bVPZ9KnpWDV17t\/zcqChydwPNqslTD5YU210dx2wHQ91dR00qj+Ah3DT7FfxXBE5qsw+vQbHIkWj1abV1Hj69+9\/x3Y+tgNs3+dqO5BITQ5EHU1AMlGDoy1XGP2e\/ycyZY1nVXuNCR61Wug\/+FLHwSOV089ZqC6ar8\/1\/mnbTvuozT5rZkw3ul\/b17m\/1\/ziBuPMutr+fXv\/iD2SmQ3O7XbzBHuieu\/+k\/0zXuYk2qukpyti\/a\/tt19R6gIrr6nB03N6TZR6rTQjSQpMpuulGzGSt6Wa8rurdDBpPKe+eqIxAeEE51XMrDujt+vAvn0HfGd+DLun2J+v7NrX0fnawen1s83FkDq9e0RBwDf3iv9a63\/+3gde8qOHpDLa601d8IncDR1WNJ5TFzywr6u\/43ev+2aeLeHKHIgdqWGoaIbqDplWWWX0v\/WXSGn\/u3ogaTcSOTullpE2U5AcUXgZeGt\/R2dv8PS687545bdW33TJhw\/t+NU+w7z7JAmnNXPOqVRf\/Nm15yX\/9I\/LxYNzajxHhyrOsgXGD0+Vm1lKLqVeoX\/PSwcNj79LLUjUsuSlQ4ZHXdXOje\/k1495NL7\/mtdM0uXEyKfA7C4dL0vZdHIfH4fA5fvUFV\/6iH\/Hvz6gPpycwjxzmPGpJj2zP+4CUk1EEs9K2mKaB02D05kXhT0jawnLsDjLCXdV9anW0VR\/TLMTcU4SqONzTtVb0R7v39N+0Cj3d\/3afLrZ9quX3jE8g\/v3qbckx4zZ3\/Hwrfd0VHz+WysXVrsjRyu8lR9a8A35pEz1\/G9cvaiueoq5QDCrBN\/cdvttT\/TOuPIfvhrZQzGPSKKu8ORPLlIvJh3tieZlnOC5JqaTmII4C55TTv+QjUbMGead7l3H0nn\/a+96xrJ0TvZhmVgLbCWjfrZKfmKChYHZccyqL1ll8wwriQPNqKrGnlpNzelGwqfmBA6u7E+w3lCHxvq8aZmcwz9Jr8HM2aW+uuyMhdetjvzc9LW5vrc6Ot6J7sPd+9Iv7r2\/rUftcAf7e7FQrvCaUcGDVzn8b\/f6j\/jj\/aufyrnnzfQcePL+tq7+oGEE+7va7nm0E1q4cbfhMYKHeg\/hdLRcd968aX9+9u5\/NyuHgr27771j07OvBX14uFaH+nfc+1BHL17HwKH2h+\/Z0WvYf9QXoAT3\/duj+7yNc2fYD2g92lSY9jHPvn+7Z9sBy7RtP310n3vmeU3q6UiZ\/cdH77Gb\/UfPzPMiL\/7pRiOK22MMqqH4U\/63pxnnz5vWv+P+hzveUiiCb3U8vPH5XtuEA6lxpK\/3iN+f+F88JgeijiYgGTE4npZO11HnKYxDezY\/sEfG0t\/11E\/vfHhnnxc7WYant\/2Jex98tgdThrnv7fcbXrloolo4s2Hm8f3P7u6ta2hQ5epj0v0v\/fIlf+2Z8jynChP9qt49XVvvj5pEBTV8QpJJccdce+9su8d+gW3vnfbp8yOvsRv8SUYg3UiSrA0cw4wmjRiokq6opoba739gdy9iCy7ArifvvvPnu\/oqzC91MHwNs6oP\/ubZg74G+Z4a9X0TB3\/1q4PVdTPMwGao0z0jDAK+j1957cXVbzx+e5IvYBbzlYeO4nqDUR9L5G5mw\/WfajD2PXv\/nt7T586z3s6Nc9JD6q7\/2EeMrmfu3aN8OThwcMeju3SMTdVIEkcz7YqXpGoz3jmxZSlIjiS8VBx97dmf3ftou7ojGIO9b\/Ubngp1MagukoTTUxsbT+\/dc\/+z+40G8zNKpo0I8qccfPZfnzJvZkbwrT333nXvsweCvsgXN5jVmMQQ6N+7v7e8YWlzZE2y+h8+P31w3+86HVWTXz\/m0QT+qyY0+XLC0VXqrNldkqVO6hbCNdBSMh8fj8Dla7ji2os+8MYTtz8gXyofNiX2L4ybOdKoqFpJsIBUE5HQs6IXbGhlXIMMRvaxpGsJGDAieed553Ji\/ucabMs8s7GYMZqlRvK7T5JAnYCz1Wqp\/enft\/8tT8NXbooOJVFfgy1IBg4+hX2Nng9fcvVXGnx+P55HINYTzenzLjm\/Bs8gUrN6\/iXzwh\/K7v\/dAz\/86a4JTVd\/Y1H10BHrLLXYkKpmqq7wUYWaUZ5oXsYJnmtMg5Imwc5HHU89dZ+bn+I1QdzppvVu22h\/nNnWO23e+fGfwmzdu6NW4Ib+Sf5hGV0trqKMSfZsZTsp2vWSnphoYSCtOVZ9ySvLKSp19z7vhHbe5+pxBFOYeMGWyMFhf6L1Bg4lfd5El\/kvzsA5LhbLF+\/Zvj1I9fKhhplT+l9qj\/6g3ZR5V13RaPzunpabmptbbnv23bpLvjzPfLCYed6i6f7f3rl23dpH\/6TOdvxW1C+99tLawO4HbmvBibc\/8WbdVRfbvlJk2vzPn1PR9fjta9fdo\/5J76kLr\/36+b7Oh1Xlm1rubPPXXnrtUnn\/+qkLv7n8vGlvqn9T13xTyz07vRddMQ9bF\/bu1BegBIPVc+YleJB2mFox8yvXLZ0Z2PWQ6k3969sJc69EQYVqEmZf95X6sNm3PfwHz9yrrrMsUcfj\/E479\/ONFV2P3r527UY1lDg1IkXTFn796vNO6XnqDkBpbvnpLu8XltoHM3PB56e\/v+vOdWvXbpH\/Qxo5M6IlB5KEZKSJOFpaXUedZ2I86\/Czd5ljue3h\/b7zrv76QjOG+uZdeWWjseeeNc2Y+9ue6au7dOk8tVESdb5h1DXMCPiPTD9TfXEDDpkfkz4SmNlgu05QHF\/Q+7WXfCQ8ibc\/0VN31SVWO+qEZJMS59pbqC+wO5\/pq7n4ums\/Z45DtVQ4vzmxNP1Ikso8uF6yiJHqdPtxNHXdl+sPt90pUevhP\/nOW\/7NheHX6Hz1M6uP+I2PhL+n5oMNMyf6\/dMaGsKXqDr9KyMLAui98lNXX\/1ZX9e\/Wf+oDyXxRXnoKK43XPDXLY3vbmY\/5ic4Dh3qn2771CAGkh7SisYvX33eqb1mXGr54aPdM+dEfDB5I8kczbQrbhLd5m2P\/rku6u4Q95zYwhQkRxJePnLJ1X9b3fvv6o7QvOaevSedd9WFJgHVRYIbk7Kncu6npvsPHfKeM9e2fzpt4bXfOH\/yfvNm1txy17P+j1xy7VdmmrcXdQ5\/ExAwv5j27Lkm93CVitkN2Kp7qcPxMd3k1w+OJryJnxq9nPhtnOVEuO90\/6K79LwsZYMpfHxcApe7cu5VV5\/n63r0jke7jiWzEMNMSDXJeVMSLCCTedbM86LXluMcZIA92VoiyeDiHqr89NKLvLvuubkZ69U7n+yunH91vI9UOMeom0rKOXGgTsRZt1tKyqH2jl5f41zbgtAwKmZ\/3P412ILjUMev9g94fcabv3rgJ3feGZZn476RRM5Q6f4dz\/dOmOz17330nvApd\/7k4T3vqmORX0eoiffkEqls10Z5Ii5jPMaEl8S3PfyS7bnG3nxcve7iq+refOJ2rOVbbnvgt+r5K40vRJuGO91C\/Thz11N9H7zkumvlESBuJ+FCxwo8XGy889ahkHHwSXgOHhwgD+zTh1Ir0c9Wd+9wPFvZGnC4XvSJjoeyRAuDcHNRq75Ula2TKuct\/YJ310\/Burnljie6\/4t6bpK3JsH3E95KEjq4moUE643ooSVjYpmWh3+ysiHibrjy5tarbd8eZIKouej61tVfdO4qVMy45LqW1taW1atbWtesWtp4ilnXMKrnX71a\/bsl+be7DVe2imIdxZ\/Kc5bixDXNq9fcvGb11efVzEEV\/W+WKuouvU79v8zwP17yfPA81dyam1Y3r2ltuW7pOZFNj4rpC9WhltU3rYEBl8yc4jGMymm2J9YBvz\/onv6ppsgp6N0u0aYahiPStRMAABAASURBVNs30+x9zerVpm3WfwSQU3z1tvGuvnrhmT4pNz4O+68038xgFVh\/JtVdov4BW2vrKjMWxFSbtui71iGcMMkcDIA0q2FeUl\/3+VWtrV8Nt3r6PDXSVlsJTlEybeGq1u8ussbsBHLm579rg5+QZHLDorq2d2fXjSgIMRgj\/7dPmGCYuETWfNc+m2o04d+6L+MCunpuhZWv+NTVra1rvhS5jcVcVOqfZoUvIXdl41dwCeGKwWWx+urzaxq\/Gp4CtCcGgKRMCkoikuramzMNV1ikOrUkBEYSSRowQfpSN6KvK7OLJBEjyonMymhNe4QUKP\/8uKkahtOLp4cvMhyvPO9bra2rL9aBruai1a2t18g+Lw4rcZ6ug4DhvCbthlUvuq715tVfst5potpRv\/aLVuUNp4dGrjdn42b1cJLE3cwqNV\/EMFqvnmMbqWGkixRx6es3td685iYE+dVXz\/tbxTIclZI1YjgcLRJkYuc3anQ2w1pv+vp5NRMxhqpKK8JBt8SOV4ow7zpgehx3jQhJVTdVeFF19K\/cI3C3wl3mpq8v1KHM2YXtxoRzK+YgZMXcND011s3s+ptwf7nuK42V1l09isD\/z977wDZ1pnv+rx0nOHQ8XJcNXNxtpgoVpoQh7cWo6W3QDbMNGroNumF\/l4pUhZ3Nb0g1rUZRhWZzFUVWFEUT9cevikbQbZjJdkmXoGY0pFuqpiLVbeaSblM13Gm6hMGoRDPh1gxE1JdxB1xwwz7ve2yfPz7n+E+cxM75RsfHx+d93+d9ns\/7Ps\/7x45NxVlS3+A3LfrgHUbhlRIFp+9HXV0\/0vlPWPP+Y+y\/TDV6tjRUKkdPufdKtcfOyi7HkiIAZVIoo5nqcKOSwlR8CKOSdCgrNffx+QQuZS1UqTL82j11LV1dP9vrXckT5EdS5zSkqhUuy6ArowmkiWdJzkij934pnq9UTbEUMSGFQynaxSzIMLO5hG4VqnmgQh\/R3D\/0iumlmJl0tjfvTIw9KlFqG1VJhpyJpnGgNuJMhax28BZprU8M8JL5PFZ3NqlDSVnNQcWHSOKXDZukEkbnyoZ4TsVzc03S4KUKNS+rVy5alxE9J70ZvqyWRkhS9JB+6Yzn1+Tkt9SPFWLMohk7LUxUM3ZVz6QynG1iUp000sWnzipzqJRq4cDUM\/CEbvyCnD5xSF4mK6CqmgtlqshMrkHLp7gJDZvvd9D8R7lQFEXopHY9xpQF\/S2aRZmUWTMxUGqinPXpZqYaE4couMsr1pgkk5bAyskGZVOELM1QwgwdPKkV4vMNtWkdhzSmUXX5f8SmTnmnaIkruw\/9Ola6+L9jpGmPw+laSd1Yzh393UB3d\/8EvXdR4nKKlMgfZkJ2d5k7kYd\/j6Bjc4060iVSzS4cLmPdsrXXrL5Emt2hMTORksFFSQyIfpEkkvrZcnHXYYSRzHSJNstFLQYyyM4cVUGS1H3PoEbcXlgCmUUMc13m6cXzLG6uW7b9zdDdjKtLF6nd4SwxlJKuEAMBytvBD452\/2J4Zo4lZM78IchWuddkN\/plS1KpknRN+kijjPRSPmdThcO5Sl+YLBZXWRFIt\/+Y+G+J6eiZlVbUeTKY6phW4TAaUk1LyYkmhsuZsr3KTrhRqWw8Ky3N0+0ksjBSJUdzCS5z3tKMiJFwk0BtUooK4lgsAmmsXFKpUpJljHJkHT1oxp7NHDgPRro7k3yh+GmEJUy4dXkmxNyr709FOZ6eKBi\/oXym2J7+WJ5mZspmNF6YJDFDBzduBVPTlGbm4XV2U8I8NCQ3Kjmqtnq\/DQwdGRi9GAzfnJ3+eKDn3emy7bvk7Y\/Q+CdfuHx\/q\/qkbW7qhhQQAAEQyIoACpkQ8Gytct8YO37s9MT0bPhmcPLd3uOf3PX+sE7znp6JBCRZmQD6j5VbP03b0UnSBIVsC0Eg9cplIWq1rMySqq0b7gbe6Rn4bSB4Mzw7PT5w5PT06tpdW52WRbI8DMeGiLod7d6G\/9rS8HBo4te93a\/0HP8n8RUPip+5mv1sKlxRUxP7HkF1WbwCARBYFAKoBAQyIOCuaT60f\/t9l4ff5F8j9c5FR\/WBlv1bMHfJAKGls6L\/WLr50zMenSQ9Tsi1IARSrVwWpNJshDpc9JfDj0Zlo0MOynj3\/GPLbm\/o08HeV7p73hyRvtBE+m6OHEiHiCUigA2RJPCOMt+eFw+1d3R1dXW0tTSq\/1G8bMeLrU018j\/QJJXGDRDIOQEIBAEQmBcBl7f2+ZZ2Pw\/q7YcUX9U0L6EobBkC6D+WaersDUUnyZ4dSs6bgOnKZd7ScyWAfyVKqq9NyVVdCyrHUbatIbZQ9Le37PPFv9BkQSuF8IUlgA2RheUL6VkQQBEQAAEQAAEQAAEQAAEQAAEQAAEQWGgC2BBZaMKp5SMHCIAACIAACIAACIAACIAACIAACIDAIhNYgg2RRbYQ1YEACIAACIAACIAACIAACIAACIAACCwBgfyuEhsi+d0+0A4EQAAEQAAEQAAEQAAEQAAEQKBQCEDPgiKADZGCai4oCwIgAAIgAAIgAAIgAAIgAAL5QwCagEAhE8izDZFoNDuY2ZbLrjYLloqCsAVbHSYbEMipO8C1DCgv7O2ctuHCqgrp+UYg5z6bc4H5Rizn+sB\/c44UAjMlkIf5C9Uv5qn3PIvnYUMWlEpz0XBYsXiPRsK3FC8Lx5Sl3xCZPdvbfWxslpBdOd3t9\/d+FKbLjI6Zd7v9Hb1jNzMqlF+Zp051xyDkl16SNpGJN\/z+nw9NS6\/y7Tw71tvdPXQh39SCPsuVQE7dIduglzbc2bFj3b1neXxNt8iFIfKnqXRzF1K+2cRYE5no6\/D\/\/FSehrRCYro8dZ3iPmA0ptwc6+3w93yQiU+ZU7qS5czHXOpCpfL40CtmbAtVg0our25IG47gvypG8ovZRIiT7yWuMh8LEkWlC5wXj4BpCDJSo1D9Iv05lS6W9IsbgSvI+2kuG01jQg4MD57t7fT7u3\/5oRgRI4FTh\/3+zu7faGN2DmpaeBFLvyHCbofDX9\/mlpZV1Wz1VVW4+HUmjzXfr\/E9lkU5dR3XRg63HR65pr65WK+if4lDWKwaM6nHuX5rdeW2TZ5Myixe3jnqQKrdycWrmrHJN9va3pzMtMbZM4fbXh0R4SPTosi\/5ATm6Q6T\/W1t\/Z\/Hrcg26MXLp36+\/XU4LOJr6qxSDtrrDyt3+6W7S3JWs5q\/ChQqpLHGud73eKUvpyEtu1Awf5sgYQEImPqAq6LqMV91ZVn29WomGwsfBLJXNbmkYHN7TpuwUIOaqE77buMC+K\/WHsZYId5KhDg95TMeC\/SE4N6CENDEBKbb71PVvAh+odUzlUoG6epwkf6cShdL+sUNtMnx7VzPWwzUM1o2aqcipjHBQHbat+cmPzgzs2Zna9fLdXxEvHb29Lnoowc6up6vSltELKO6S8RuLvLTYm+IRG+Fw3cMbHSW1+xpqF6nTp2Lhm+Go8rRNxoJ34woB0jn92oa9lR71Kbwigw+tMOTjHRQV85f3Qln9uGfuWhEJTwa0ejPhYoHN01liLib1olHBVUtiVLG1SWyqC+it1Q66MJxb6lv\/KHXqShICqiKJZIyxKVbXUIYS2rrRFKKgol8jPGcBj2B5KusMGkR0iSDRWLGrSDpa6aqlAPnOAFzVlFli5s0K0kzT9XrP8nuQGKSD66hvpMq8uoFPV5Qqb8iO12S6+mH0FSGUFmdIy2HNevPydoaaijBNGJCLqYO7DrailskX+W24qbmxLUyqohndVc907hrozKkiUBhUoTjVY9EXE7KB0eXUtuUUpBhAQmQC5jEduqWmlS7pzppomLS33iSsTtzu\/SCAL+v+yBtdaUl65lcnPdh484ouaeucEoKh81KJteVuBONqAqa60mpaQUBHf+lCikyzD82JgkxcWGepJqdkhLSYYbauJRU1uCsGtTSaBEyREVeV6yZnroFcNOYAIdpOEakjgMGgo0LJnckA78wcGpeIdfZqJtw+UZpvKzyYRSXRB7qivqOKVLppDOnMlOMSqgOneLkILe0azczNUyqo6CkGQKUlVNqWiFLWYaUi5i\/62Soqome6hp0XvGyBv3TtPlkUcnZZq9fn3NXbIh\/juHa1RDzVGxwyEXElXEfZky7ZBYFluik3kVYSCVC5wZ6Otr8Xd3ddO7uG5mOJNWm2Ff7nL+NOix9FOeVbr\/ff\/Td6chcaPxNuu7sfqXT7z88dD7+zzUis3ibfnbk1bbDb48OvernFXX527p6x67K9USmR3q72ngS6fDqwMSF4cPSu7Uk4RejIRYa\/UVbW\/xzIpS5r9vf1tHdTXI6egbOhWRByVckoa1fUvjIqHjvfy40cbLH3+7vJP3b\/dziW\/FiPOkwJXFD2jt7z0zL7+BeS\/qgipAsrOPFCeNhf5u\/Owkjl2lQHS+neShBDUqfbSJ79eEwpty6i1wckhToJDVeOz0dN4qKZ4CLMcpvWt3QqPTJK2prQnQ2mDBAW\/CGcnMskYtfyDnVLSjMickflD4XfWt6hLSnZuLV+XtOToQSe3CUdKyzzd\/ZTZ3Bf3jg3NTwq23iUyGc4eBFxi4OUqcRd8i3jRuda8QftH3b89sQuzHaQ8XinxMJnx+KeYdaVV4ADzUBY1YigLw\/xvvV6+Lze9wpVI42\/mab\/Nkcs1TeuEaRRPQf\/gEffkGNmDjirSl3PE2c4d49GGAs8BYvIz4nInT+PGZhWqZJvv\/qUCDueszMkJjk5CdSkrp8ivjGJetGFS0ff3f\/+A1y6tNHyWShYeex0RmFa1LgivVwnkGO\/5zhqzFnjMVDydl1WDGj4KO0juziHUAaaJRBXpmJCf3PzEr3zIqI8CsF9m4RyQ+fCkSkYvKZS0sKBeGpUzF0PFT2DEzckAvgaukJ0KT0ymjMBXhs7+47o56UfDPDk2ORv7vvw0R3nuSzk7jPGnVsMlDuV8qoTj1KO9mIC7w46G87ShMRKhs7Lsl3SFpMW6U0yjcXHJNHqO7+T0J0T3twRzaKhLz3GsU6kkMGJkb8zmMj03+he9ojeVBT+rU8yMp6KkdSIS0xziYPwSKdTpHP+zvbOvu4gULnmP9O8uaQwr6IPP5sYmOSEDG3CX3Sz2ecr3TzGeepqXBiVsB5xrybT+QonqUXjYM0p03MCd8cl6YZghUfUMhG6SCesRkFUygmDWqMaVvkYwKg\/HRz9CtpOtFNarf5e4am4jNlSXjsTMCpP+nOeWI58JQ2gaiIFRxmt7o\/iI76tuGSJFaBTkwQKUExmaGxrMuf1Kt1u5+oLtkv4j1HCKWTyPZ+gI9Qfr8Ydv09qu5tMHjp6WkYl5RdV+2Y1L01c2CVC3DnMgpWpLzOoSguTFMAN52ZiMwmHMhHMg1ZevMWlcZmMhXOribGJSRhkZeNPFl6cIu0UxGe8vUUraek\/unv7JWmWPw+zdn40ifFPFCs1yhaaLORsYmxjGa\/1D3e4tNbviJDjfQVAAAQAElEQVSKf3DecE5LmRVL5uQuIbRb7NMibYjQSHbk7Zk1T7d0dHV1dRxq\/Jvo+Buvp\/r\/lMDEF1VN7aLA7vVffdx35NW+8VUNXETHof1bHRNv9Y\/pDf2hc585pIr8L9Z7rg\/\/ajAgDWNXR15\/YzT0UMOL\/q6uzo6Wp11jb8UFbNnf9dNaN3PX\/pSqO1S3ljGeeTz6N42tnTzzi0+vmXn7yMD5pJmwqr0CYx+76n7U0lxbRv1n8sSRoStr6n8as3jr3fG+Y9KYF+FJX7hqnj9EaR3\/2FT15YnTl1SCjF5IGD3PcAYc46bw6Bt9wgYhU786I2Es9OnZ6xv2vPizvZWUhdtrAIdSE0dk4sSJidJaoUDr\/kcj48dPkwNkjitldTcmPnPU82o6O1582nP9\/b5BCVHKgiz+x3OOs237Yy2403X51JGYEMpyY+Lsde+en7Tu3US7GMGRY33jd7c2tlLrd3X8pH7NlaEjJ6d4Y8\/xpNF\/W9\/wUgeldfy03nV2UAAnEWV1L3ft3cjYxr2UJD4hllYrVD3f1fJ3bra6toWKiY+ZRc4P9Jw879r5YjtVQn37iVJStf9zXj9Vg0NJICWrwEdjrh80tfx4RxkTzWHoaOapvE7DSMIT+aNs5yFqQ360N1Y6methL3m+CB0GrrS27lDXXi9j3md5of1buJDEI7Vpnwaq\/gt1EXL9\/T77RP\/\/kHpiakMSVcgXVykYpoxvQrJxVFHwaa52Bk73HT5y8vrWg0LDl+o910aOD4ngQNHw836z+K\/r7MmsjIKPbJUUiAzgK7MprzkK8yKKkeh5n+N3\/X1nNQOPTiiYOtkzMOXa9ULMp2ucl4de659MrJqUCizONWrRELg2cuTYSHhT4yG\/GOKfKZ892\/f6GXnnPfDO8cCD8fnGk+7gB73HP9HGZGlE1p\/Y8H6lNwAlTzYSim2s9q0KTnwa26ej24HfTUUfqNrqljq2vsPOvNc\/\/G9eMXh1tDxVdvmdAdWWCklJEQl5DoUvq2ZN3MBTl11P7heTlfam78+ceC\/m1LxY\/JE8qPGUpEF2VH8kjQ\/Bc9X7Y0PwLtcXQ0d+o6qINPn\/3gq4\/q6p6XHCwcUrH4FcxEaFkIb1N8b7Xjvc97G7gc9COg5xxx\/o\/0hyfJPAKJKMBp0rp\/vfD3n3cSM7WurKpk8P0FsjSjMMrhWDGiMOR8xbJDQ28N7tmlgcbvDemRj4b6dnpDlwQr6Y2OjPeRJ5cJEugdmRI70j4crGl2NjX\/mNUZrtB+PMjZxLFm8QExQdcr92xDcel2Wx9NaLPB1S3ubXoY8GTt+uaaYVFs2xd3sjvxs4+u4MT2ARw8ErWU8R5UwWSrom6IcLUTdNFrJeH8UE8B3DxBowxcyEihhyED6ScchKnrdQHYnDXKbIpkssbSzJUxEhVHeKRSmpmo+y8MMoGxmbWDjTWoa6x7N8estXROJfZlLNaeUls2mX4CoszsO+KNXMnv0gULytsXFbGf8kjcPt3bl3+9rZsX9WDXhJmni2\/321p4RuO9zb9tZVsFDUu2e3100iSMIzu6ocwcnEh0QoV\/xwbN5Vv5HnYiWe6qer3ZHpS1d42uQHo7Nr65qf83GZdod7Y\/0LT1fwBL0Hz\/xQ3YGdXhcRsjs82xobNken\/nlCd6s9LsBT9+PG6ooyF+l87ezIxeLqZxt9cYvrnt3umR37kFb1PCla9Q\/NdUJJx0pP9YED1a64DLNngXHrXhnj7ucaHnOHvwwzLtOgOmOBji17m5+p8qxyElFu79o04HwTicw53GUCr8u7a19j\/fddNEnkxTPBxfObV1dStesZ0dYE\/4nd1asj0xd5sE5dMG4vz\/mAogWfeG7vjvXRWS6EZymp2nuwvuoBFzf+PPWMirr\/XOcVreBY52vcXRW9MDpxkzGexJvVt44gMcdqb\/3BXYadJqtWoOg9PjoV3bK36QkPV8ZB3tG8d0s08EFG34TJbbLAI5SSlecHzY1PVJS5HMIpjB2NN5ZxqkBpFElEovIUmfrNqakV1Y3PlNNd3vHWpuFKlFV1pGFazZ5qqR+6vfU\/8LIvA\/yzCmkYoqpHvOBKpnRYLtksqij4lO9qqHbdDLmfei6m4brqPTWeyIVJEeJF4DKJ\/wbOLjRVnAyCjyIH43ZJ8CkIpwryUsE0iihGoo31Ozaw4CUOXiquf6bGvEC9q6n6gZhP1x3cWzUXGFm876LU1wt3EwQCo2Oza+sO0IxCdBUa4pt\/4KGeOhlfxjg2723eKcagWEx2TP92JD5+SGIou+HEhvcrkwFIEqA9l1dtcoU+G4\/VMjf5yfloxTYfjUtcmoHD3r59m610r7mPZDnKtu85sOdxHoboVeLgjky9sdlkyqHwZeWsiRtIY1Ocg9PzRNOBbaROQrTphXaQNR5J+ThbXrc\/MQRXP\/dsrWK0ZndpRv5r2g15sWWn\/leZeXIRGxVCfHt3VvAZZ0N9rAdsrN+12RH8P+LDFpynQWDkScaoeVO53GUcoKOsZs\/zDY9\/zxRgPFEe1FgaLTLn2fHjRp80UtBk5sd1npvjI+domhYXR88cuMGch1JxZETg4odjs566A\/Xe1WKWKDGfHf3gfEyKgXPFUk2eFB1SM+IbdL8kWYqek5S2dkdiNSRFv\/CnIxPUTTIZvEziklSfvglSmu7Z3IN0iyTdVAAvN52ZiJJGHLiPZB+yhOikk7lMkV2f2DyxGEyxUjaf0IilmU3KrDhTTzJf2nC8sSWzotgSXtJyfxFqD169wVhwbODkQPwYDtxi0S9n5LdCdLRwud2Ju87yB9xs3Tp5pLff73ax27fJfRN5Yhcu9\/2xK3pau2YNC4doZctmr88y94ZKWSRjzofKlS8pe\/zgmR3hqVOywgP8X2+uzsRmKvF86meFwvw\/qVjwfyfsHRh4PxBm0SBZzJPWezcqitrLy9cpXhpecoyeCuV6vMy3p3HXZhfjMg2qM5TGFKC4vWnBWeV76tHSqZOd3a8NjJybvl3Gv5jQKdhmgiuN6kg5uW+WrSlj4Zv05kwaBWP2ipwV6xVfEuD0PtXY+GS8Bynkz\/7pOisJTw0pGutjep8wOHOF8aTV6k6zcr1Rp8muFRibmbnK1j9CG6sx1enJ+8h6duMqKUHXOBQEUrNyrY779LWrIWbsaOapokrqI+JZnORIIl4qTpHzp05doAlKfTnvsaLjqbuMcZxRSEmjG8imUbm169wsFKbIJhmSWTzhSqZ2WC7ZLKqo+Dy4zsPcnnLZ4dyrXexORARoHrjM4j8J4ujIKjoSzk7X6kM\/+CjzcLvSimNyoXSKKAI7Y561bnYzbLozztiVmaC273m9FSx0DT4to1\/Sq9mZL6OaruLetME9d53mCZJiOjH5ZogGISlVnE06tuhXJgOQKJ98Kn+y2nNzavKPPCVybiLgqKrZSj7FpRk5rLemrjw02tPZ0\/fuaOCqq2KrryIeArkUenBHNo6ElIEpJwOMybGOG6jhUP6Q\/paEEKM+KfzafCQVqRXrV8rFnRvqGvfVxEfrPw7\/apRta3rBYDeEiuUkNiqFOMs9buZZ9yDJjh18xhkRM07O0yAw8iRj1A\/X1D341egv\/D19p0cvBl0P+ZKaKlaX5kmhWBotopmxuCs3rGahkCpiceAGcx5N1XiZksDszExUj\/n1P8XWN+QHshDZueR7RleKdievVI74Bt0vSZBKgjpVL\/qFQjSjyGDwMotLUm0qBRKTFilN92zuQbpFkm6qgJvNTHhJIw7cRzTNulKe\/ItUk5DFJSc\/RCn17FAhU8rvSsxg6XWC2DyxEBGdKVbq5iMVWMbrO1GIn1JO11UzK15iqR8ypIXWxPXXG5R\/W\/9DQ8MzPv4J8\/QqLiZN7cXp5TXONXfXOE2bUuper1S4ant9A71roc1l8tq1Rll+w9an9jTsfixm8d05k4LZJZlVl5bEtOA4vf\/Q2nHowFMPl86cPX64o3Mg\/p8dGeNKqzo9xbMuqCcsdm\/F\/arG3lJTv6exVtp6motm0GnYvFshphCeTAmknWjuaOapaVUSmTo1NFX8eGO98r2+heiiptpkYUh6Dpt2fxbB2UFR2kDPecZ\/IdUw+IjU+CkL+FkUideGZ0sRSHa0XHRsBUJ39eMPhyfGA4xFzp+fdj1W7Y37lKHDrqtpbut48dlH19yYGnrd7\/\/FSOKz+gq5LFlzZarZdSbjn5mczEZSraRwqk1IbYH46ywNtztIAJ920pPOYRYYDWu0e2peaO\/4SeOja0NTb\/f6O3pGruqITn0rixZJDnEmc57UGiDH0hIw637z0Uz\/G4JNJRrGJdNS5omGHmReTDc11cxEt1CMw\/xClq5kNg+ZucQSVy7N5kszW1xqoT7HB9uF1Z9\/AiJsX+Pb6osfmz0rWHExH3IWtmZZeln5A47QhanYnq24H7pwSf2Gj7jLTzxzOOrcLCvsW7+KMUfaGj9Y7mFhx79L2OvzPeIpZcUOspgnXb6g\/DqSuUBgmtfKH2XuNSx09V\/5pfQI3Uhs7XvWrWbB6URWSp+dODUwfCHMuEyD6ihX6oPbmxac0PTEuenwqgrfzoamlo7mx0un+H928OKZ4OL506pOq3n6Bfn7zKHpy+INaklKJPDBwCD\/6If0Uj6XlZc7\/nLX+YiisR66X2psnhSamromZ2ahqUs3FC+Vl1m2AveOy7+nGbAsK\/D7y2xdefz9McbkFItfZcKKN4exo5mnpotZ9c8yolD6XVRkl0+ZmCaXYsL3jc1U5pSvuZKpHZYjmk9USdTHTctB\/NcPPola6ILblWFgyaIIVZTq4OguBy4qsokg7\/n38GkFk6W8FO1+aUo5AeDzgZLy8th7FkwnJq9e9z27UmmTjp3BAKSUyJjTt9UbvTgZCE188oWr8jGpw3BtDRw2ErwwMXU16tlYW3\/gxdb2hvJr8mf1Y5JFbzSccsQy6T5xAy9fmFQMo4yPTbp5TW+aj6Rlf72G3Zi+fEsWEbk0MvDWePzzVN\/b9f\/Wui4Ovv7+jOJrmuXMhlfZG24okidwsQaBkScZRuPI1amJ88HoOm\/tM\/t5Uz00O\/rBJAksW03mX\/2j\/CaZeKOeEnSONFrkhqZb8xnLGo\/qcz28OQzmPDp14pYpAQ5Th7lDDiWmxTNO5H3MoPtlIiuk6Sa0GrKv8axl0owivcHLJC5loooyL7fO0IOUGXN1bcSBN6vx5D9VyNLXzlymfhnp7oJgSbP50swmKao8i2BVUEsb1fCuNCWn1+7q2sq7nx7v\/zjIN96iocA7rx99a+y605XTWlII89bWlIVG+05MBO8w2qULfjrQOxofcKmonTlYdDY4K\/3KL8\/8h+HX3w2EaASeiwY\/7jvyxvClqMvBGLsy3NN9dFS5SKabmoMs3nR3\/H\/2j1+l8owsPn3s6MDZ66W0q8KTHIH\/dXzkIpdNSSPHBid5LiHCvnnTwyzwXp8oGI1Mjw6OJZQs276z8u6nJ\/pkjCeGfhdyrXMxR7mQNQAAEABJREFULtOgOhaZONHd\/dZUogZRjfbE7TWBk8huD557u+\/4mRmpHYO0WeMsdTLGixvgmnm\/p\/u1UeU+FAnj+U2qoxwGR\/oFq3bWln15+vV3Ei14YvDDy2y1aloQq2TjjprV08O\/Oi2ysujV8b7X+oYvRvl3wVASdZrjAxNSO16dGPjlh0GF0\/C3xG9eD94Mh29FTVshVlXsye5gd3hfC\/Nf86LGq3R8Pth7RtRPHeJM7+Dnjsraas0Hn2NlLf2UCSvKu8nY0cxT04Os\/meZWJlUXdRBfSb8pyDFGfUP2pFCWXUDKmdiZkwp7RNX0sBh5axc8l39ICZnSueKBFHgyiL+q1kZBB+lBtyuDANLFkWUNSauqVmZKhQ4Jn\/dqwry9sraJ+DTCWBLfMHb\/dpIr3I+8E\/Bsid3JD6RET2vjcnep7bHd0sk5c06ttkAZFdNNpjmb\/PjVWxy+Ph4cF11TfxfNri2+g7rjFwcHvjvgxN8NsGiX14NMYeThmSlTFIz8xAhBFDJSsfFd44rx6bzUZGUdFINakmp5iPpll21ZTOnj8lD8Im3Ri\/b3YnRunhd3Qs\/qmYf9R5RfOttUh1JN0j9LA1PEqW8wcUaBEaeZDjoOP9yafhk3+CnoqnuBOWmqtxUYQ\/wFqepKU36Phw8a\/jJEaogVYvYgx\/+UjljGQmW1T61WWkAY9QcRnMedUa8Sk2AYJYFR7TMa3Yo\/481pRS7aUxgij\/qApsMup8iV+rLax9qo9\/2p6pocsvlGw9edpWexnGJpfgzCheidsP1UQqhWSUbceDNGho1mvybhSz1vEWplLlMZU7NdSZYVFMRjRz1yzSbL81satn0ipTOZE5r1CVI0mId1P0Xoyrn5saWZzd\/deaov72tzX944IKr9kcv1NFm5GJUHq9jLY2ptWVX+A9DtrX7ez8qrX+uRp6flm3ftdUZONXT\/Uov\/8XOtXUvHdzhOj9w2N9GmY+eCa\/f81LjZj7RmP391Ox3KqtSKO+s3NfS+MhXw69ReW7xlKu26WCdmE5R0ksND98eO8Fl+18dnPYeaNgQV5LeIHq2qXZt8PQRKuj\/+eDlym3yt0sQxpf2rA8rMNYdbBY2kEyD6uYCFy7erqiq5Fs5iUqSL8zhJPKvqjnwnI990iu14\/ANb8OzNXxbyxDXbODCrOuRKmF4QgpjaVanKBG71BQ8q27EWCbxJHK6LsgtuHlfy16Zs8gTO5XVvdS8474pkbXN\/9pw+OGGl\/ZV8sZmZXUHm2pXz4jmaPMfGyt9ulEAj5Ws\/MGuiq\/Hjr7S3f2bKcaMWyGWPfZU9re7fM7AYE939y95X6Nmbdm3+fbH\/aJDHB74F0f1gRaps8UK4ClOIBNW1Bxmjla5T5HaMzSjcsN4fabP4WAwwsLjx9pif6+O8I2\/taZxhlXW7qwIf3S0+5XuwQsq6ZmYpiyoNjNNQwwdViPZIKooc6VxzU17Nov4r2a1yiD4KBVIAV+ZNX6tKWISUuIldJ91QkFlPMgfHjhXXL2\/hf8UkW5Z3FwCAtwF6hLzgaPvXS\/f3fLSU\/JI5d19wHtlqIePw4f7P+ITgP1bnBo9zTq26Ff6A5BmsqERavdWb3XNzoYqHlfsiXNt9SckFX\/ftMsTPM0Hjzb\/rz5z\/d2B3dphLqsQIbQiA2nKkRibBv\/gPbBbnpCILLGTZlCL3ZWfzEdSkepSDMGVjS3\/SVWRs6L+hX\/whn\/b13s28RaRLN3gSm34q4PTmQd5Pckk1igwUpLxsPJwQ9MPPcF3RVN19H72ndoD\/1HY6PQ996PaNUExNaVJ33SlT9uCshbqFukZupLUIu6axqdLx45Rx23zHxm6\/Fd85unRzvTLjOc8cl24So8Ah1mXmCW+dvr6gw0tL0mz\/fQEUC7zmEAZ5IP6mFH3kzOlvHI\/2VhfOtbb2cYXOO9cdm9PfEePkG80eGn0NI5L5goYhwuq3diDzIVmlWrMQQSlRLNqJ\/8iVT9kVRrN8ViqBYWxBWospqFMPRUxFkkpaTZfmtlIoPqgYJX+0sa4S6iFLuQrbZhcuLpcmxta\/F1d\/tZWf1dHa1NdhVOqq2znoa6XpdhRtb+ra\/8WcXsLv6wSl9KJZ3tedaPu5a5DO8X0Rc7Mf3ModlMqxhQyacFaUdfU2kE6tHd0dbQ0VG7YdShRI3N697R0dHZ1dR2SdmocD9byzB3trW1UpKWR\/\/YdCQ0HvlDPVOgeHbIO9EIcdlelENjR2trRKSxeKe7Tye727aO6SHRHV2d7845y3\/NdcQiMrayoO9je1dnRLkDV\/FCFwr21kTB2tLVyE1qbah90kDx+GFX3ReCyy1et3atOBsWcxnA4\/FgbMedGRTu+3OhbzSunh0MX183AJaL1hLzvRDmlI83qpMxVxCfe+qqCL2saUcoeOydytvKO19KwmW\/dUJrSHHrJD0d5rLF\/1k6N1bLP5054BjUH9QNqwTbeDRo2e3e93NUVV4atq6FE6jSxO0atwOtQPFZ6G\/iP+cmNrvWODTFVFWVwGSNgzErl7Dx3kqMV093VbhE1GFOmkoOq3DDZQWThif7DL3jbxx8JHzF2Jarfsz3WZUSsk8VSUgamra07FI9UGRpC9fBD32EpRRnKDPuzLp9Y5CQZ\/FDKYUxrmk7854XooXR2NSvD4EOlEkfC63mEVAd53l6xNlLprypCIWUVBVV3mdRL1FZQLQoh9EpxpAoF0o9YKQrgcokJaF1gm\/hNOK6U8MptYlCQIn\/HofgEgCcrH0Ydm\/Ik+pVmAGJMM9kQ1UkzHyrGWPkzrRRTmrbF5kjiHtNqG5uQUBzziEGoo50PXu3NO+OuJRWTztnGOiqdmHLQ7Kj9YG35NpqQqD2dMtGhHtR03MR8JE2k0gyts6NlTyX\/gT8Sq3BA55b97V3tzds9jNYViemfeo5HJZhRbBRzLdUQwHNLD20TCCH7q6REcVZZZBgYqTkUszvtsMKkgCbN39oP1lWsFKKpQ1TUNbfR9JhPP1qbanYdSMwxkhRjTNEiVIGqRYSSu7xisk21iCZL1KIKesxkzhNTCk9pE0iCGQ8lauZcnk6D8tupYoLokHG\/M+x+yuqMKhK10cl+v1ihxJchyriRJF8xeGlil3FcMnfMlao5sOi30jLQ3IP0jVIUVxIgI+mgInFu9IoORUihV8yEQyIo6U7+E6makMVibk4xXMzxeCXyI1FKRyapGl8CSwVMQ5lq2Sjll87qqYgCjpTMlFMsw2Elljf2ZJhNqSHl1bBNnvhtcFEufiTlZOouwfMs+iOx7Fusmktc\/D8RFqs2\/XpKXPy3EPXTku46nK6VDvluZCowW1XDv\/hdvmd+5XC5+EeYdDKRaIVkTQa7w1miuSW\/dKw0NEFT3czF6TXbEt\/WLkswvCoxlKwqYtSOZJMCV+Ri4PrmGp9TVVT1Is3qVGXEi\/QLGqkqxKhPDucqg65hd6i6gbpY8iuHYaMn51XcyUBVRSlrXqZmFRw50t3z3gxj1CmFo83xb712rV6jBhZPVd\/NwauS9FwpuabUpiWXoTtZGUKFFA5LUnQPR3b9OVlWlqapBaUjpCRd+NHfDXR390\/cYixeJPKHmZDdXeZWV5rtK0eu0GWrAMqlIGDuAvb0Ir9JnzRJSqGZXrKhtsaDlyyGCotIKN9J94qmHAbTmHQlxPKZ86RU8X\/JsczzfUpzCMi+GmPvNkNNMPXnGSXO9CGTEPPMKTMIs9PpNiIjTqkJLDZM4+6XWtd4DtOOmv7gRWLSmEjEK03nmSRmGazSkZ6Ux7g6CkomplGqWchKqke6QaVMZEp59M\/GeurnT+8uSU1HnzSzJdeZ20EwWX6O7thzJMcyYpzVTf69iX8zzn+zy3e3vrgjR1P7zK11Pt7U8az4UGjmZVECBOZHwON7zB366HjvuxPTs+Hwl5Onjx0f\/8a76wfS9xTOTzZKLxcCjqqt3m8DQ0cGRi8Gwzdnpz8e6Hl3umz7LrNt3OViO+zIlEDk6tTEmYk\/Mpd7VaZFkX\/xCWAIWHzmqNHKBGA7CBQwAWyIFHDjQXUQAAETAu4nmw8d2F46PXz8F93dx94J8O9x2F8V\/5SySUEkWYiA3dvwX1saHg5N\/Lq3+5We4\/8kvktip8dCBGBq2gTCX4x98C\/h7z21t075M9tpF0fGRSaAIWCRgVusukI1t\/Q7LldpoSqfQ73BIYcwl4EobIgsg0aECSAAAvoEXBtq9\/+0vaOzq6uj\/VBTneJfYfXz464VCTjKfHtePNTe0UXdpK2lUf4uCSvCgM0mBMq2N7e2tuzfofc9HSbFkLR0BDAE5I49JC0PAmU1B1ubt0vfkrU8LMrOCnDIjtuyLYUNkWXbtDAMBEAABEAABEAABEAgcwIoAQIgAAIgYBUC2BCxSkvDThAAARAAARAAARDQI4B7IAACIAACIGBRAtgQsWjDw2wQAAEQAAEQsCoB2A0CIAACIAACIAACnAA2RDgFPEAABEAABEBg+RKAZSAAAiAAAiAAAiAAAjoEsCGiAwW3QAAEQAAECpkAdAcBEAABEAABEAABEACB1ASwIZKaEXKAAAjkDYFoNJo3uuSRIvmqSjQSvoUGy9fWgV4gAAIgAAKFQAAzn0JoJehYwATyfENkaqi7e+jCfPjOX8J8al+cslawcXFIopY8JxCZeMPv\/\/nQNMtzPfNWPUWsuMCD69QCahoJnDrs93d2\/2YhK1lA\/SEaBLImMDt2rLv37GzW5VEQBEAABBIEZt7t9nf0jt1M3Mj2Ynasd76rqmyrRjkQyG8Ceb4hEg3T37zeX5y\/hPxuQK5dFjZO9re19X\/OC+NRCASgo0TAuX5rdeW2TR7pFc4ZE1DECsVlxmLSKXDt7Olz0UcPdHQ9X5VOduQBgeVE4PbX4fBtySCMthIHnEEABLIksOb7Nb7HqipcWRaXi83dpkVVeF6rKlkYrkBgORHIpw2RuWj4Zjg6lwrvHXJnA2+ORsI3IwZpqcQyFr0VNvx0N1Waqw9+J5tprDZX6Y6x5tFIOtamEKIvPhq5adgWtJIyqtckiSUbLletqU5OwBUIKAm4t9Q3\/tDrVN7S81zqh2Ejx+H90Kj\/UhBQxQ\/uO5k6vql8WXGezdDF5GyaK5NANBeNKE3m8g3N1EjVf2kiwSSJN4dgeO1qiHkqNjjUwrmnG6qlMYGL0sZkw5Y1VYl0MCxItdCQokRHuWMH1zb1kBTLjKfCJKDtdYaNTl3IsOtmbnpupWVeP0qAAAjkmEBUPVvg8wf9kYVl6v7O79U07Kn2qFds0VvqgGQ8PTDRJMcIIA4ECpaA2r0WzIzJN9va3pxUiJ8debXt8BnxgdLP+YcVhs\/2dvr93a90+9v9h08FIoqsicvoldG+bn9bR3c3nf3dfWem5Wy3pkeOdbb5O7tf6SQJPScnQskbK7cm+zvbOt8YVycJTd4eHXrV7+\/q7u7yt3X1jl1N1Mki0yOxSimpo2fgXIinXRs53HkHbbkAABAASURBVHZ45Bq\/5I9Lg\/62tr5P4urw1KOjIiNPlR4aM\/3+o+9OR+ZC4292+\/1Cbf\/hofNhKS+dqd7erjauUkeb\/9WBiQvDh9tin+mYPXO47dWhUfFx9EHN\/xOpbQydG+ih4mQXnbv7RiRgXL3BAGOBt9roL\/lzIkFqi3Z\/p2iL7jdjuESlw4HzQ1xgd3env83fMzQl68uorsN0UyR1HhuZ\/piaNY5oLjRx8jC1i9S+XJFbZKI4eFIPJcWqIx0TSSIdJxBQEhD9cEQEDq3n+rv7x2+Qw54+ynt7d3dHW+ex0RmxNmdMZH4\/MHWqx++nOCOixKmpcCxKTFJn7X9\/jHvc6x\/OivrCUlcn31E6PguNHmnzv0XeIzLxU3jstfgdikIULNrj8nWjEBWJzvBAxrPxcCe7w0UKI+q4wQNL7A4FBJLNo59KH8YUgeXIqNCd+5TkbmRmZ++Z6XEKv69K0Kh688McFGOGNqoZklacUmCQQowU+efCHL4ILCJ6DEzciGtCmdv6pSFAmCB0eFuOyaYty5iZvQqtaNygjvHqUEARYRJRi3oLDSmxCEl6cZmISwRi+R7aXid1JP1Gj1wcSoxu\/tdOT0tdiI+k8TFO4iRkKic6jOfRjrb60iQJOIMACBQYAcUoE58\/0MjCp8o0f6BBh4\/xkYRNlJQIJuqpspDzeSIjE9EjHmHk2KIcHwel\/0c1nB4wmhGN9CqXEjdiUyJFNbgEARDgBBZpQ4RXJT+SrwITX1Q1tXd1dXUcet7n+F1\/39mQNtO1kSPHRsKbGg\/5u7o6O158pnz2bN\/rZ4I821xw5Fjf+Fz1\/laS0NXxk12uL4aO\/Ea5aKF5\/GT\/\/z8YcNU2Hah2JxkdOveZ4+mWDirtf7Hec334V4MBaaV0deT1N8ajf9PY2ikqfXrNzNtHBs5H2NpHq1aHLl0KM\/EXmJyiGDN9KVZj+NKl0OoNlW6RpjopzNy9\/quP+4682je+qoFX3HFo\/1bHxFv9Y5LdvN7R0EMNLwpjW552jb0VS4nJuzFx9rp3z09a926K3eBPtBuisDHyef+Rt2fWSHZ1HGr8m+j4G6\/zTZy1dYe69noZ8z5LBnft38KLyo8rp\/vfD3n3cZQdLXVl06cHfivpxFhobOC92zUHOaeOlxq8dyYG\/tvpGQGK13XqsuvJ\/YcosaO96fszJ96L0aCAPHniyNAVTz23kxq4sTI82vc\/JHMiImlN\/U+pGE\/aene871iaKzdZZVxZloDCc5urnYHTfYePnLy+NdZF6z3XRo4PJfohC300cPp2TTPFGQogu72R3w0cfXcmgS7w0ZjrB00tP95RRl32\/EDPyfOunS+2U8ck33yi9PKpI\/2f05zGXf14RfT8J5Oi2\/OyoXOTXzoqH\/MyKQrd3drIXYeiUP2aK0NHTk5RGZ5NfsyOHOkdCVc2vkyiuzpeqi+\/MUp9PkgCN1b7VgUnPhWbGiJ\/4HdT0QeqtroZ4wFBLxCJbLS3Ofaxq+5HLc21XHfuU1+4ap4XvviPTVVfnjh9KZYvzafQRwagUtkoM9yyv+tZHmP2Uozh\/zITmTrZMzDl2vVCjGiN8\/LQa\/2T0sKSqxVQmMBfh+SYbN6yIoaY2hv4NFD1XwTtQ\/t99on+WPBhPGq9PeN5Jh6YNoVH3+gTgUnIvIK4xBtiWT+Uvc640SMTJ05MlNaKftK6\/9HI+PHTclRh5n\/Jo+18pJnXhVQQAIElIiCPfTR\/MJp7S0mGU+UMVA99evb6hj0v\/mxvJRUymR7wJNOlBBXHAQKLSCCfq0raG1gaZT3b\/77aU0J1O9wb63dsYMFL2g+JBEbHZtfWHdjtdVM2u8OzrbH5B57Zsx\/wlcn5D0Zny+v213ldJIE51lU\/92zt+uisvNa5Gxw5xndDXvxpnUfPYsfmXfUb3fyz3SWe6qer3ZHpS1e4qEkS\/FDdgZ1eF5USlTZsjk7980SYlXk3uIKXpNXOzKXLpdU7q13TAWmWFJgOujc\/SksTLkL1UJi5bW9dBQtFvXvIIqrY4fY+s6vKEZwUHxLh9a6ta37Ox5nYOZMXnq5QSSqp2nuwvuoBl5PKSglaG4lNoHhbY+O2Mp6F5O\/cu33t7Ng\/SzpKZfTOt2\/fZi53GUfpKKvZ83zD49+LZ5vz7Phxo2+dkLfO1\/jjOs\/N8ZFztOLjdUW37G3e6eUQHU7PE00HtnEJvOS1syMXi33\/T6Mvrkj9vgafOxy8SfvfPKn6WTmp7tntntmxDzNcv\/Fa8LAkAYXnlu9qqHbdDLmfeq56ndRFq\/fUeCIXJuUev3ZHwqc82xopgIQ\/HZmg\/ivQeX7Q3PhERZmLyobGR6eoPzc94eH+xX2nee+WaOAD\/h2Jzu9XVbDABO\/2vNjspxPBVb7qDYzxKFRR958TUcjXuLsqemF0gvo5zxh\/XPxwbNZTd6Deu5oqomDl4340O\/rBecpQXrXJFfpsPBa45iY\/OR+t2OYjR+IBQT8QUSk6PHU\/bqwm3Sk2cneLVv1Dc50IaI6VnuoDB6pJBOVK\/zAClcpGBUN1ZUT0AmnVVP1AjGjdwb1Vc4GRscTuj8IEUTTdlk3DXk\/NnliXcHvrf+BlXwbE6MKjVvHWvXKE3P1cw2Pu8JdhxmUWIy6JdljeJ0WvM2n0byKROYe7jA9uzOXdta+x\/vuueNjInE9upWVeP0qAAAjknIBi7BMji\/7cmyfR1EJ\/qpyJTg6abz9T5VnFx1OT6QFPWmu6lMikUuTNggCKFBABWujng7YuN70LGlfEs9bNboZjn76I3Zyd+TLqVn\/qwr1pg3vu+vVZNvun62x1xfqVsaz05NxQ17ivppyuxPHH9\/pGWXXTQf3dEMrict9P59ixds0aFg7xZcwsCXeEp06dHBiIH\/y\/aa7O0Iql\/PuVrj9c4h8kuRYIfFOx4e82VLDpS38kGYHpP7i8j+jth9BGg2yms\/wBN1u3LqEks9\/vdrHbt2mixevVGOt8qFwuSpWQxuqmS7IxePUGY8GxhOYDJ4cDt1j0y5nEEoTE6BwP19Q9+NXoL\/w9fadHLwZdD\/l8FfGaNR97cVduWM1CIWooXtf6R+gNYVle+UPxL76UvkpAuZ+z1tewb1flKtoQuRoiHf+3jHfg\/UCYRYOpdJSrwZW1CZAfyAAeXOdhbk+5\/AUj7tUudidCHiXl0fiUCCAh4ek83bU63s\/ZzMxVpunP3kfWsxtX+QfSnL6azY7pzz8TYmfGPwt5tvFQw6NQSXhqSNGZP6bswZkrXHjiMTszE9Xzo+t\/4n5Z\/mS15+bUJA8jLHJuIuCoqtlK5vCAYBSIhGRF\/LxGPrXeu1Hclk728vJ10lW6ZyNQKW1UMFTXdWUmyDRaeb0VLHSNEEk5FSaIG+m2bBr2qrRau87NQmEe3nnU8lQoA1OZb0\/jrs0uxmWyIOKSaIhlfVL0OpNGX+V76tHSqZOd3a8NjJybvl1W6dvkIbfMkkxupWWpBIqBAAjkkoBilOEji8HcmydpphbyVDkTdRTjo8n0gCdpRnPtUiKTStPJizwgULgE1KvqwrUjpeZ\/0eywpCwQy1DqXr9B8Ve1vb7h2dr1lPi9qsr7Lge+YKELl8Ibq7zMW7XxdiAwy\/54aXpFZdWDlCPFUUzs7cWGmebuGiYZJSTZ6PprheobNmz9Dw0Nz\/h0t2pkkXZPzQvtHT9pfHRtaOrtXn9Hz8hVOVHnKqFn5voKaa41ah2f2tOw+7EUOoqCOIGAmoDwJge5lfq2+assvjLT+7c+1\/S5cdrMuzI5dbNi6xPxnZQV96uCxZaa+j2NtcoVt7kqlOqufvzh8MR4gLHI+fPTrseqvXFzDAMRlUo67s4l3Zr3jRio+duYhSapWnYB7EVcyqKdCr2IUaM7vf\/Q2nHowFMPl86cPX64o3OA\/\/dc1sbmVlrWaqAgCIDAfAkYlTebe2c5VTaqit83mx4kpug8Ix4gAAKGBOLTbcMMuUkoK3Oza8HEu4Fs7qtQOCPJZeUPOEKXpmgNkihGOxGhkvLyMlb212vYjenLtxIpLHJpZOCt8UR133u6qfa+qcFjwzNROU8aV7zScNS5eavPFz\/Wr2LMUcw\/7M7KN6xn0xcnp34flHZ86T3k0PnPJgMBtqlK\/txHGtUkZeH1hi5M8beM42nc2Pi17nOSjfxt4bB9TUJz39bNnhWsWNJdV4S4Gbk6NXE+GF3nrX1m\/4ut7Q0PzY5+EP+SuBuaBpi6dIOt8XgY43VdvjAp3jMXUhgL\/P5y7Iq\/JRucno694k\/XJoZODvMvZH2w3MPCjn8n4\/U94illxQ7Bl+fEAwRyR0AngNjXeNYmVyD68+9pV0JO4v15XXnMrx+s3ro6OPVZKDA+EX646lHxZnFZebnjL3edjyg680P3J4JFQhDPpuNHDh7IeCanb6s3enEyEJr45AtX5WNShTwgGAciXkx+cJ+6fOG8whfnAgGl98lZDa+MQHHl07BRR67QKnBRkSK08vx7yUDF\/UwvheSs7PWsW83UgWl24tTA8IUw4zIRlzJtiQLPb9LooemJc9PhVRW+nQ1NLR3Nj5dOif+eY2XuNSx09V9lw0M30pjWGEmTxeAKBPKUANRKgwCfPxjMvXmS4VSZ8XXSdcU6SfoAdqoaTaYHPCnTpUSq6pAOAsuWgH1xLPNUel2hscF3AiHakrgTmvzN0KTBj1EZ6eOtrSm7NtJ7YiJIBeeiwU8Hev8pWPbkDv4O6pZdtWUzp4+dFtJZ9Or4ibdGL9vdtFKPSSv21B1sqmZjvUdG+JcXxu6mfuKV\/mH49XeFYKr0474jbwxfivKvGaDC3qrK2xeHx656qzbTK8Y2bKoInRv+LFyxcb6zfF5vaLRPaexoUNRhfNLa6K6urbz76fH+j4P8rd1oKPDO60ffGrvulL5OwEFvpIf\/FAzfDKt\/tos5\/3Jp+GTf4Ke8odid4NUQczjFgo9qtgc\/\/OXAxFVqQoI8MfDLkWBZ7VPcdl6X4+I7x88IUFTXmd7B8zwbFWJrt+\/adHfiRN+4VDAUOH1yaCLk8pAiVG7T3fH\/2S8nHTs6cPZ66SrGbgWG+vonEr\/jwwXhAQLzI3DtQ20A2f5UlU4IpH5Z6fh8sFfZnz93VNZWxz8KUuZ7zBP89PjwBVb1hC\/mHht31KyeHv6VHIX6Xusbvhh1lah1pmxlwRGtH9XsSPyTy+bHq9jk8PHx4LrqmvgHzXhAMA5EqgpI902OwP86PnKRuzD54sixwcm4L6pymrwwAkXKp2NjsmSh1eSve1Va2Strn4gTTS6S5h0hOSt7y7bvrLz76Yk+OUKeGPpdyLXOxbhMg7jEIoFTff2KL75NU01ky3cCJo1uD557u+\/4mRlpJA3SroezlHu9ffOmh1ngPWloi0amRwfHdIdp9WhrIC14tr\/vvYBiIzPfgVlBP9gIApkToFBCI4vu3JsnGU6Vmadyoyv00eBpaey+MTn4TlpDt8n0gCcZLyUQczJvXJQ7g9dNAAAQAElEQVRYzgR0VgMLYu6D9c17KqPn+g\/729o6ez4sqvatzrCetXUvHawru8J\/U7Ot3X\/0vevlu1teekr634oy2u+odU0NcOlt\/teGw5WNLf9J9ZUWbGVF\/cG93vBo37GxDPZEeKU7XOeFYKr0THj9npcaN\/O5ENf+YdoRCYcf2sA3Zei1c3PlQ+Hw7cqqDfRifsfauhd+VJswtvej0vrnalIvHdQ2Ojc3tjy7+aszR\/3tbW3+wwMXXLU\/eqEu9n54Ze3OivBHR7tf6R7U\/HDvww1NP\/QE3xUoO3o\/+07tgf8YJ+muaXy6dOwYNWGb\/8jQ5b+qTXwtC9X10p71tz8W7evvGbriPbA7Xoo5K\/e91PBwePg1UfDwwJSrrvmgZA4ltTQ+8pUiicvkjRq8cH46cAEbIvPrRyitJOB+srG+dKy3s40HkHcuu7c3vbBT3jVV5qT+3LJvc7w\/Hx74F0f1gRbZ8RlzP\/F4RXh2ttRXvTFRrqzupeYd9ymi0MMNL+2rdCbSYxc8W93qmdNHhDu8dvr6gw0tL9XxPi9lsHurt7pmZ0MVjyf2XxgzD0RSwdiZfIrc7fbYCe7C\/p6hGe+BhgwjkjEornwaNsZUUTyRVi2NlXGtDg+cK67eTzeS6CiKpHlJkrO0l1qZolZYESHrDjaLwEQyDeISC16Ymg5c1F33pqkwsuUnAeNGX1Vz4Dkf+6RXGkmHb3gbnq2h\/XzGnL5nm2rXBoUv+38+eLlyW2LUU9pYWascbfWlhaenAtMXZ9L4hIlSco6vIQ4EQGD+BGhkMZp7UxINOvGpRc\/QlYrnnpaDRvnTzQ2bohNvirH7yIfF23ypp\/2krsn0YK16KXFWuZRAzCF2OEBAJrBYGyKMubc2Huro6mhr7+jsaNlT2\/By16GdYhWwZX9X1\/4qWSVWtvNQ18vSCqGKp8V\/F9bxYG1TK4lob23r6PK3xH4dQCq4sqKO0jo7WikDl1\/JfxeGJykkrKza397V\/kKN+odmyuoSmvD89FAUYUxbKf8NTMojDrt3r7+rq6naKV7R9Ki6qavLz3\/RNnZD+aRrJv9BykQmlSZOYVCXv7WdLG5pqNyw6xBhEigUfKSyCoXVNro2N7SQhv7WVn9XR2tTXUVcU8Y824lXF\/1pf3Y3ntTRxqtuP1hXIX9breN+IZCSOjq71Em8fakukURV1ZZvo6Y7FNt\/sbt9+1qo3dt\/xq1pbaotd0iaM2Z3Ve6hJFKvlTJwHaXqHm5oj9sbz4pnEFAGB5W\/CDTkCPEuJ14zjdPZ7xedraOdR4n25p0Jf6CCXRpH0PrOBpckMnZ2+po6u7p+Vq\/6MJijPBahqJ9TFNrnc9tj2VVPSdnKEu4g8pU\/w3+5t2mb7K102zAQaWykrAl3IzPJF3eU+57v0omoyQWprHQYgmIsSfm4jUkMNfKTPF36UTBeoSYny7Bl07SX18S3lg51yZ2ERiUpasUC04PxlkjSNh4GK3hgUsVtSS7OhUZgy34aYaqUWhs2OnNuVIykLzf6Em\/n0MTjYHtXZ0e7n4awppof0qgnTWZUfVgz2upJc9W8kHBSpU64BgEQyHMCSWMfY9r5Q2KuwTRT5bqK+xTW8bGMr5Pa2zpojdOwo0EereRRUhVbpMIOzeJIsU5RLSVeVi4lEHMkeDiDQIyAPfa8WE+OlfxnouZVm8PpWhmftmoE2R0ul0GSJmemL00qzVRURvlLFD+sm1FBZeYSl\/Zz+8pUg2vHSsOqKclh0HFMkhhzOMWPhOlW6KCWs+um4CYI5JYAOXPaUSIb3zHr5wpL0symKEGXpLtR9KNU1UFZ0zZTVTDxwkRCVsoLwQvm6SbaioqNTxS1jIalBdPWWJsFS4HgNAkYNrpRNLA7nCVpylZkM5KmyIJLEACBAiZg7OM06BjNohlNldMd5dVsaAw0KlhiOJ9Xi8ArELAuAbt1TYflIAACIAACy5QAzAIBEAABEAABEAABEACBlASwIZISETIIAqUu13dKxRVOIFB4BEq\/43It6\/6bqyYBqFyRhBwQAAEQAAEQMCPgcNFfKZZiZoyQBgKLQQBeuBiUl0EdZdubWw\/WiC99WQbWwISCJ5ChAWU1B1ubt6P\/psQGUCkRIQMIgAAIgAAI5ILApobW1mbMrXOBEjJAYF4EsCEyL3woDAKLQwC1gAAIgAAIgAAIgAAIgAAIgAAI5JYANkRyyxPSckMAUkAABEAABEAABEAABEAABEAABEBgQQlgQ2RB8aYrHPlAAARAAARAAARAAARAAARAAARAAAQWk8DSbIgspoWoCwRAAARAAARAAARAAARAAARAAARAYGkI5HGt2BDJ48aBaiAAAiAAAiAAAiAAAiAAAiAAAoVFANoWDgFsiBROW0FTEAABEAABEAABEAABEAABEMg3AtAHBAqWADZECrbpoDgIgAAIgAAIgAAIgAAIgMDiE0CNIAACy4UANkSWS0vCDhAAARAAARAAARAAARBYCAKQCQIgAALLlAA2RJZpw8IsEAABEAABEAABEACB7AigFAiAAAiAgDUIYEPEGu0MK0EABEAABEAABEDAiADugwAIgAAIgIAlCWBDxJLNDqNBAARAAARAwMoEYDsIgAAIgAAIgAAIMIYNEfQCEAABEAABEFjuBGAfCIAACIAACIAACIBAEgFsiCQhwQ0QAAEQAIFCJwD9QQAEQAAEQAAEQAAEQCAVAWyIpCKEdBAAARDIfwLQEARAAARAAARAAARAAARAIEMC2BDJEBiygwAI5AMB6AACIAACIAACIAACIAACIAAC8yOADZH58UNpEFgcAqgFBEAABEAABEAABEAABEAABEAgpwSwIZJTnBCWKwKQAwIgAAIgAAIgAAIgAAIgAAIgAAILSQAbIgtJN33ZyAkCIAACIAACIAACIAACIAACIAACILCIBJZoQ2QRLURVIAACIAACIAACIAACIAACIAACIAACS0Qgf6vFhkj+tg00AwEQAAEQAAEQAAEQAAEQAAEQKDQC0LdgCGBDpGCaCoqCAAiAAAiAAAiAAAiAAAiAQP4RgEYgUKgEFmlD5Ovbd\/50I3zl2k0cIAACOSFADvXnW98UauDJVm+KJNe++vpfEUlAAARyR+BPN77++tadbJ2yUMshmORkJIIQEEgQoGlJ2FqRhEc\/iiRkeAICLkAABOZJgBzqz4u+wFmMDREKFrdu34l+O8cjBx4gAAK5IBD99h651eKHjFzonqUMiiR\/uX3nbnTuXpYCUAwEQECHQPTbub9E7oSttJJBMNHpB7gFAikIpEimSHLLepGEZmJkeAo0SAYBEEibQHQpFjiLsSESW8NgEZN2V0BGEEhJ4N69e1FaxlhpDROPJAglKXsHMoBABgQomNA+I\/lXBmUKPCsZSyaT4QVuB9RfUAIQnhmBe\/cYuRU5V2bFCjk3GUsmk+GFbAR0B4H8IkBD8+IvcBZjQ+TO3W\/nEC3yq7NBm+VAgLyKQsZysCQ9G+7e\/ZaiZHp5kQsEQCADAuRZd6PfZlCgwLMimOg1IO6BwHwJWC2SYIEz3x6D8iCgR2DxFziLsSGiZynugQAIgEBmBPDJkMx4ITcIgIABARFMDNJwGwRAAARAAARAwEoElnJDxG6zFRXZHTiWmkARtYTNltzt6R4loYGWnAC5CTVRcgPhDgiAAAikTQAZQQAEQAAEFoMAzdlo5rbks0coQKsYmw0LnPxda5ObkLMshk+mqmMpN0RWlDi+e98K93dL71+1EsdSESD+31m5otih0xMcRUX3lZZQhqXSDfUSAeJPbkLOksqXLZ1uszFx2Kz3Jww3bXyb5eBwJoyZQbEeE5v4S03GjJo10myW8xdb\/C9197BZCw4HYjPt9hYDYov\/cTKmYKyeSHM2mrnR\/I1mcTiWigDxxwJnqeCnUy81ELkJOUs+xAudZfDiqFW6orjUWexwFFF4XZwaUYsuAeJfUuyg5igpLlJmoJcrncXUTSmD8j6uF5kA8Sc3IWdZ6Swxn5ktsmL5U12xo4jGPPd3V65eZcHjPhpRSp0ldrt+7yBHdq1cQSOTdeCQsd+9z0mxS7eLEqbSFcV\/5eIb8dZhIllqTkYXl9VuWjmYUPdY9R2ns8Rh1OjWc5w0out9TuIm+Zd1zmSySYw16j\/WuU+eUooFTh60N82fscDJg3YwVIEaKH8WOEuzIWKzMecKB\/8gkyElJCweAWoOmgWWOIqUVdId6qY2Gy0flLdxvQQEqA2KiuzkMjY7XS6BAnlZZUwpiiMraeeumHqr3W63WfAoKiqiuRfNwIrs2nhOuyF0v6SEIFkITpHdLhmevCdit9mc0l58kb2IkFisw5DJRmRi7mTtJ\/ITKwcT6h407lMwoT0RzUhDjkORhJIIEWWzW8ZxpOjqJLexa5AwukdM6Fxk1UjCnaXEcPvMsrGEZs3OFeQo9GxZBnlkODUDhTWaBCl1ojs0ZbTZtE6tzIPrxSFAbVCUHwsc7QR6EeynHkihgoYQm404LEKFqCI1AbuY3yjzJd9RpuJ6kQnYGKMWKbLb4TQa8rTopYGNwGjuW+clhdEiu404FBXRpcruFcUOGvgt2GlsNluxw+4scdjUSKif0FSVBiCbTZ2gwracX9jiZJazkVnZZrMxcqJi6hx2i\/YNwmaz2QgA+YjmPyJsdtpJ5IGWMlA26xzUFSi6EhCasmusjvUWG2XRpFjipU3qKkkx1hLGGxtpszHyoCK73WazaMcwZrNkKdQadCirp5d0KO\/gegkJkKtQcxTZyWuWUAtmX4rKbWQ1IwBLUTfqNCagahIbW9pwbqymhVPs3F9tFgagNZ1Y0Bt0SxxEtUotzWuahCVzoEm83U6Qlkalpa3VRvP15K9GErPVpVVsyWvnZGiRZ9F+YYafggnBMcthgTQi4EjaW6XO4ijiw48FAOiYSLYTFk0C3bRsdJVQEBMHj7HUO6QbOBMBLHAIQh4eql5qwwIn\/5rIzkcY2xLqxetfwupRdZwAnkEABDInYGN2u922lCGU4S9vCdiYjfGDJf74a3QXwgEIBEF72IrsCCYCCvmJeJZPNmaz2eSX1ruytPHGzW1jNuNEpIAACIBAwRBYqg2RggEERUEABEAABEAABEAABEAABEAABEAABLImkLcFsSGSt00DxUAABEAABEAABEAABEAABEAABAqPADQuFALYECmUloKeIAACIAACIAACIAACIAACIJCPBKATCBQoAWyIFGjDQW0QAAEQAAEQAAEQAAEQAIGlIYBaQQAElgcBbIgsj3aEFSAAAiAAAiAAAiAAAiCwUAQgFwRAAASWJQFsiCzLZoVRIAACIAACIAACIAAC2RNASRAAARAAASsQwIaIFVoZNoIACIAACIAACICAGQGkgQAIgAAIgIAFCWBDxIKNDpNBAARAAARAwOoEYD8IgAAIgAAIgAAIYEMEfQAEQAAEQAAElj8BWAgCIAACIAACIAACIKAhgA0RDRC8BAEQtIlptwAADGZJREFUAAEQWA4EYAMIgAAIgAAIgAAIgAAImBPAhog5H6SCAAiAQGEQgJYgAAIgAAIgAAIgAAIgAAIZEcCGSEa4kBkEQCBfCEAPEAABEAABEAABEAABEAABEJgPAWyIzIceyoLA4hFATSAAAiAAAiAAAiAAAiAAAiAAAjkkgA2RHMKEqFwSgCwQAAEQAAEQAAEQAAEQAAEQAAEQWDgC2BBZOLaZSUZuEAABEAABEAABEAABEAABEAABEACBRSOwZBsii2YhKgIBEAABEAABEAABEAABEAABEAABEFgyAvlaMTZE8rVloBcIgAAIgAAIgAAIgAAIgAAIgEAhEoDOBUIAGyIF0lBQEwRAAARAAARAAARAAARAAATykwC0AoHCJIANkcJsN2gNAiAAAiAAAiAAAiAAAiCwVARQLwiAwLIggA2RZdGMMAIEQAAEQAAEQAAEQAAEFo4AJIMACIDAciSADZHl2KqwCQRAAARAAARAAARAYD4EUBYEQAAEQMACBLAhYoFGhokgAAIgAAIgAAIgYE4AqSAAAiAAAiBgPQLYELFem8NiEAABEAABEAABEAABEAABEAABELA8AWyIWL4LAAAIgAAIgIAVCMBGEAABEAABEAABEAABNQFsiKh54BUIgAAIgMDyIAArQAAEQAAEQAAEQAAEQMCUADZETPEgEQRAAAQKhQD0BAEQAAEQAAEQAAEQAAEQyIQANkQyoYW8IAAC+UMAmoAACIAACIAACIAACIAACIDAPAhgQ2Qe8FAUBBaTAOoCARAAARAAARAAARAAARAAARDIHQFsiOSOJSTllgCkgQAIgAAIgAAIgAAIgAAIgAAIgMCCEcCGyIKhzVQw8oMACIAACIAACIAACIAACIAACIAACCwWgaXbEFksC1EPCIAACIAACIAACIAACIAACIAACIDA0hHI05qxIZKnDQO1QAAEQAAEQAAEQAAEQAAEQAAECpMAtC4MAtgQKYx2gpYgAAIgAAIgAAIgAAIgAAIgkK8EoBcIFCQBbIgUZLNBaRAAARAAARAAARAAARAAgaUjgJpBAASWAwFsiCyHVoQNIAACIAACIAACIAACILCQBCAbBEAABJYhAWyILMNGhUkgAAIgAAIgAAIgAALzI4DSIAACIAACy58ANkSWfxvDQhAAARAAARAAARBIRQDpIAACIAACIGA5AtgQsVyTw2AQAAEQAAEQAAHGwAAEQAAEQAAEQMDqBLAhYvUeAPtBAARAAASsQQBWggAIgAAIgAAIgAAIqAhgQ0SFAy9AAARAAASWCwHYAQIgAAIgAAIgAAIgAAJmBLAhYkYHaSAAAiBQOASgKQiAAAiAAAiAAAiAAAiAQAYEsCGSASxkBQEQyCcC0AUEQAAEQAAEQAAEQAAEQAAEsieADZHs2aEkCCwuAdQGAiAAAiAAAiAAAiAAAiAAAiCQMwLYEMkZSgjKNQHIAwEQAAEQAAEQAAEQAAEQAAEQAIGFIoANkYUim7lclAABEAABEAABEAABEAABEAABEAABEFgkAku4IbJIFqIaEAABEAABEAABEAABEAABEAABEACBJSSQn1VjQyQ\/2wVagQAIgAAIgAAIgAAIgAAIgAAIFCoB6F0QBLAhUhDNBCVBAARAAARAAARAAARAAARAIH8JQDMQKEQC2BApxFaDziAAAiAAAiAAAiAAAiAAAktJAHWDAAgsAwLYEFkGjQgTQAAEQAAEQAAEQAAEQGBhCUA6CIAACCw\/AtgQWX5tCotAAARAAARAAARAAATmSwDlQQAEQAAElj0BbIgs+yaGgSAAAiAAAiAAAiCQmgBygAAIgAAIgIDVCGBDxGotDntBYBkRuMfm5ubu3VtGFsGU3BG4x6hn0CFLpBf30F2IByAQBHEoTvfm5hBMBA\/yE\/Esn8iXrN1nkpHIcCx8Rf3CwtbDdBAAgeVDABsiy6ctYQkIWI0ATVLv3P0WS1xq9+i3Oou5b+nmHEGidMsd1CuIidbse0znpjbTcn5NtklkrL28JQw6x50oggkT3eNbTdSgl9Fv53SQWeMW2U5YNLbSTYvvnxETGmIY33fWsMFLEAABECgwAtgQKbAGg7ogAAJKAt\/cid6lmam1l3e0F0IcvtWuYtg3dy0Kh2bq1Cm++Saq6RcEKvJNlJIog7IXWeeaDL8bnYvciVrH5DQtpa5CfcPiwYS6B3kHcdCscu\/N3aOblEQZ0uS5bLJR0NCNrnfufEu9xYJApJYlw6k\/UK8gx5Hu4AwCIAAChUsAGyKF23bQHARAgL\/hfytyV0xY5+bm7lnwoFnp7W\/u0vHt3JymQ9y5+y3dp\/Mc\/7MOnDlaqNyO3E1e9s\/do3XdXUoiaHNz1gGSsHTuTpR3CfIXTVfBSyJAvUIEk2+\/tWLf4J0k4TiaVe7cvXsUSSzoONQluOHf3P12TvsBmW\/uRgnIHZ4yNzfH6VnqnOgq5Dg4QAAEQKDQCWBDpNBbEPqDgHUJSJbTzOzrW9989efbN27esuAR+vPtW5E7NBeXaGjONF8P\/yVy46al4Ny++fU3ybshEpl7jEXu3P23MDGxYG+5\/eevI9\/g4yFSV9A7i2AS+cqSkeTGzVvkOCbdI\/KN5RwnZXT9s+WiayxsUlcxirF6joV7IAACIJDXBLAhktfNA+VAQEkA10YE6P3Me5b+MwLD71sTDrfc4GFNIHH\/MICC23EC1u4eZH0cRNIzbSbGe5GlnpNAKG4QL0uxUBqrwIBLEAABEChsAtgQKez2W97awzoQAAEQAAEQAAEQAAEQAAEQAAEQWCAC2BBZILDZiEUZEAABEAABEAABEAABEAABEAABEACBxSGwlBsii2MhagEBEAABEAABEAABEAABEAABEAABEFhKAnlZNzZE8rJZoBQIgAAIgAAIgAAIgAAIgAAIgEDhEoDmhUAAGyKF0ErQEQRAwJSAzcZsVv4DHG3rmxGxMeotdGjLWOM1w585AZvNsn3DZrOZsaFEymCz2p8ZEuoqdFiNiGSvKRckWpkAbAeBAiSADZECbDSoDAIgoCBQ7Cj6zsoV7u+Wrl610oIHGb6ytMRup9WKAkr8sqS4yLVyxf2rLASHjP3ufc4VJY44A9UzYXKuKP4rl4WArI77xf2rSk3IqDBZ9YWVgwl1j1XfcToNHId6hAUdh6JrqdM0ut7nJG6r4y5mkYv7KZKYdhXqLRY6YCoIgEDhE8CGSOG3ISwAAQsTcBTZVzqLafVLF7QpYMGDDKeFSumK4iK7Np7TbgjdLymhLHa73WaRo8huJ8OlXqHxDLvNxlk5adlrISD2eNMXCTLUJchfNGTwkgiQn0jdhi7scWjWuSiy28kxSp3FtCdC+4YEJHGQ41C3oSSrkSkqspPVZDvBSdCQLlYUOyiJ4i4l2S3VW+y2IookjiIyn7qKRANnEAABEChoAtoJdEEbA+VBAASsRoCWdjSJp\/m61QxX2ltktxGHoiLNKobRlN2acGw2G63caLJuUyOx22lDxEFJNps6QUlzWV\/bbLZih53ILGsrszHOZmOEpVh0jmzKL4syNptwnBUOZlM5iM2qjkMUiuw23ehaUlJUTDHXRlmWRdtnaIRNdJUVKxw2iwLIkBeygwAI5DcBbIjkd\/tAOxAAAWMCNBMrKS6y2ejZOJM1UhxF9uRdIXp7k+5aA4DWSpvN5nAkDXA2RqC0WS32mpOhLTQ4TVK7FxcXEZyk29a6YbPRnkiRpnfQS0dRkjdZBgzZntwx6KZlo6vU8sSEIDBGvYPhDwRAAAQKmoB1R7iCbjYoDwIgwAnYmJ3mpJiPMfzpELDxmbpNmUAvaBKvvGPRaxuRsKjpWrPl17Yie\/Kmopxsoavk3mFjNpvNQgSSTLW08Uk0EjdszJa4xgUIgAAIFC4BbIgUbttBcxAAARAAARDIhADyggAIgAAIgAAIgAAIKAhgQ0QBA5cgAAIgAALLiQBsAQEQAAEQAAEQAAEQAAFjAtgQMWaDFBAAARAoLALQFgRAAARAAARAAARAAARAIG0C2BBJGxUyggAI5BsB6AMCIAACIAACIAACIAACIAAC2RLAhki25FAOBBafAGoEARAAARAAARAAARAAARAAARDIEQFsiOQIJMQsBAHIBAEQAAEQAAEQAAEQAAEQAAEQAIGFIYANkYXhmp1UlAIBEAABEAABEAABEAABEAABEAABEFgUAku6IbIoFqISEAABEAABEAABEAABEAABEAABEACBJSWQj5X\/XwAAAP\/\/j5wudQAAAAZJREFUAwDdKFahGTJ03gAAAABJRU5ErkJggg==\"\/><\/p>\n<p>Durch die Kombination dieses klassischen Rahmens mit modernen Werkzeugen wie <strong>Visual Paradigm AI<\/strong>, k\u00f6nnen Teams von der passiven Beobachtung zur aktiven <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">strategischen Planung<\/a>, was sicherstellt, dass sie widerstandsf\u00e4hig gegen\u00fcber politischen, wirtschaftlichen, sozialen und technologischen Ver\u00e4nderungen bleiben.<\/p>\n<p>Ressourcen<\/p>\n<p><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style='background-color: transparent; font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; color: rgb(12, 147, 228);'>Was ist das Gesch\u00e4ftsmodell-Raster? Warum Visual Paradigmen und KI-Tools nutzen?<\/a><span style='background-color: rgb(243, 243, 243); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures;'>: Dieser umfassende Leitfaden erkl\u00e4rt das Gesch\u00e4ftsmodell-Raster, seine zentralen Komponenten und wie visuelle Paradigmen und KI-gest\u00fctzte Werkzeuge die strategische Planung und Unternehmensinnovation verbessern.<\/span><\/p>\n<ul style='margin-bottom: 1.2em; margin-left: 0px; 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<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);\">KI-gest\u00fctzter Builder f\u00fcr das Gesch\u00e4ftsmodell-Raster \u2013 Sofortige Strategiegestaltung<\/a>: Ein k\u00fcnstlich-intelligente gest\u00fctztes Werkzeug, das die Erstellung von Gesch\u00e4ftsmodell-Rastern automatisiert und intelligente Vorschl\u00e4ge sowie Echtzeit-Erkenntnisse bietet, um die Gesch\u00e4ftsplanung zu beschleunigen.<\/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);\">KI-Raster-Tool \u2013 Intelligente Gestaltung f\u00fcr Gesch\u00e4ftsrahmen<\/a>: Eine KI-gest\u00fctzte Raster-Anwendung, die Nutzern hilft, Gesch\u00e4ftsmodelle, Wertversprechen und Strategierahmen mit intelligenten Vorschl\u00e4gen und Automatisierung zu erstellen und zu verfeinern.<\/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);\">KI-Gesch\u00e4ftsmodell-Raster-Tool \u2013 Intelligente Strategieentwicklung<\/a>: Eine umfassende, durch KI verbesserte L\u00f6sung zur Erstellung und Verfeinerung von Gesch\u00e4ftsmodellen mit intelligenten Erkenntnissen, Echtzeit-Feedback und kooperativen Funktionen.<\/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);\">AI-Canvas-Editor-Release-Update<\/a>: Einf\u00fchrung eines k\u00fcnstlich-intelligenten Canvas-Editors, der die Diagrammerstellung durch intelligente Vorschl\u00e4ge und automatisierte Layout-Optimierung verbessert.<\/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);\">Leitfaden zum k\u00fcnstlich-intelligenten Business-Model-Canvas-Tool<\/a>: Ein Schritt-f\u00fcr-Schritt-Leitfaden zur Verwendung eines k\u00fcnstlich-intelligenten Tools zur Erstellung und Verbesserung von Business-Model-Canvases mit intelligentem Eingabeverfahren und Echtzeit-Empfehlungen.<\/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);\">Mission-Modell-Canvas | KI-gest\u00fctztes Strategietool von VP<\/a>: 28. Oktober 2025 \u2013 Koordinieren Sie Live-Sitzungen mit Ihrem Team mithilfe des integrierten Timers und exportieren Sie Ihren endg\u00fcltigen Canvas oder Berichte in professionelle Formate wie Word, Markdown oder CSV. \u2026 Der Mission-Modell-Canvas ist speziell f\u00fcr Nicht-Profits, Regierungsbeh\u00f6rden, soziale Unternehmen und alle Organisationen konzipiert, deren prim\u00e4res Ziel die Erreichung der Mission statt Gewinnmaximierung ist.<\/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);\">Umfassender Leitfaden: KI-gest\u00fctztes Business-Canvas-Toolkit mit Visual Paradigm<\/a>: Diese Seite bietet einen detaillierten Leitfaden zur Verwendung eines k\u00fcnstlich-intelligenten Business-Model-Canvas-Tools, das mit Visual Paradigm integriert ist, um die automatisierte Entwicklung von Gesch\u00e4ftsstrategien zu erm\u00f6glichen.<\/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);\">KI-Canvas-Tool \u2013 Visual Paradigm<\/a>: Ein k\u00fcnstlich-intelligentes Tool innerhalb von Visual Paradigm, das Benutzern erm\u00f6glicht, Business-Canvases durch intelligente Automatisierung und Eingabe \u00fcber nat\u00fcrliche Sprache zu erstellen und zu verfeinern.<\/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);\">Beherrschen des Business-Model-Canvas mit KI: Schritt-f\u00fcr-Schritt-Anleitung mit Visual Paradigm<\/a>: Dieser Blogbeitrag bietet eine strukturierte Anleitung zur Nutzung der KI-Funktionen in Visual Paradigm, um Business-Model-Canvases effizient zu erstellen, anzupassen und zu optimieren.<\/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);\">So funktioniert der KI-gest\u00fctzte Business-Model-Canvas-Baukasten \u2013 Visual Paradigm<\/a>: Diese Seite erkl\u00e4rt die Funktionalit\u00e4t des k\u00fcnstlich-intelligenten Business-Model-Canvas-Baukastens und zeigt auf, wie maschinelles Lernen die Erstellung von Canvases und die Generierung strategischer Erkenntnisse automatisiert.<\/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);\">Deep-Learning-KI-Canvas | Vorlage f\u00fcr Strategietools-Analyse-Canvas<\/a>: Bearbeiten Sie die lokalisierte Version: Tiefes Lernen KI-Canvas (TW) | Tiefes Lernen KI-Canvas (CN) Diese Seite anzeigen in: EN TW CN \u00b7 Visual Paradigm Online (VP Online) ist eine Online-Diagramm-Software, die Analyse-Canvases, verschiedene Diagramme, UML, Flussdiagramme, Rack-Diagramme, Organigramme, Familienb\u00e4ume, ERD, Grundrisse usw. unterst\u00fctzt.<\/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);\">Produkt-Canvas | KI-gest\u00fctztes Strategietool von VP<\/a>: Erstellen Sie Produkte, die Menschen lieben. Kombinieren Sie Strategie, Design und Feedback in einem visuellen Raum mit unserem k\u00fcnstlich-intelligenten Produkt-Canvas, um Ideen schneller auf den Markt zu bringen.<\/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);\">Lean-UX-Canvas | KI-gest\u00fctztes Strategietool von VP<\/a>: 28. Oktober 2025 \u2013 Erstellen Sie innerhalb von Momenten ein vollst\u00e4ndiges Strategie-Rahmenwerk. Beschreiben Sie einfach Ihre Vision, und der KI-Canvas-Generator verwandelt sie in einen strukturierten, erkenntnisreichen Canvas, der Ihnen hilft, Ihre n\u00e4chste gro\u00dfe Idee zu visualisieren, zu planen und zu verfeinern.<\/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. Oktober 2025 \u2013 Unsere Anwendung ist als Ihr strategischer Partner konzipiert und bietet intelligente Werkzeuge, um jeden Schritt Ihres Planungsprozesses f\u00fcr den Business-Model-Canvas zu verbessern. \u2026 Haben Sie eine Startup-Idee? Geben Sie einfach \u201eeine Mobile-App f\u00fcr die Lieferung von hausgemachten Mahlzeiten vor Ort\u201c ein und lassen Sie unsere KI einen vollst\u00e4ndigen Lean-Canvas erstellen, der das Problem, die L\u00f6sung und die wichtigsten Kennzahlen darstellt.<\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Einf\u00fchrung in die strategische Umweltanalyse In der dynamischen Welt des Gesch\u00e4fts operieren Organisationen nicht im Vakuum. Ob Sie Gr\u00fcnder eines Start-ups, Produktmanager oder sozialer Unternehmer sind \u2013 die F\u00e4higkeit, externe Kr\u00e4fte vorherzusehen und sich an sie anzupassen, ist oft der entscheidende Unterschied zwischen Erfolg und Obsoleszenz. W\u00e4hrend interne Bewertungen wie die Business-Modell-Canvas oder Lean-Canvas sich auf Ihr Wertversprechen und Ihre Operationen konzentrieren, erfordert das Verst\u00e4ndnis des breiteren Umfelds ein anderes Set an Werkzeugen. Genau hier wird PEST-Analysezum Schl\u00fcssel. Als grundlegendes strategisches Framework, erm\u00f6glicht die PEST-Analyse F\u00fchrungskr\u00e4ften, die makro\u00f6konomischen Faktoren \u2013 Politisch, Wirtschaftlich, Sozial und Technologisch \u2013 zu analysieren, die Branchen pr\u00e4gen. Durch die fr\u00fchzeitige Identifizierung dieser externen Einfl\u00fcsse k\u00f6nnen Unternehmen ihre Strategien anpassen, um Bedrohungen zu mindern und sich neue Chancen zu erschlie\u00dfen. Wichtige Konzepte: Definition des PEST-Frameworks Bevor man in die Anwendung einsteigt, ist es entscheidend, die vier S\u00e4ulen des PEST-Frameworks zu verstehen. Dieses Werkzeug ist darauf ausgelegt, nach au\u00dfen zu blicken und die \u201egro\u00dfen Bilder\u201c-Kr\u00e4fte zu analysieren, die weitgehend au\u00dferhalb der direkten Kontrolle einer Organisation liegen, aber deren Entwicklung stark beeinflussen. Politisch (P): Dieser Faktor untersucht, wie staatliche Eingriffe die Wirtschaft oder bestimmte Branchen beeinflussen. Dazu geh\u00f6ren Steuerpolitik, Arbeitsgesetze, Handelsbeschr\u00e4nkungen, Z\u00f6lle und politische Stabilit\u00e4t. Wirtschaftlich (E): Dies beinhaltet die Analyse wirtschaftlicher Leistungsindikatoren, die die Kapitalverf\u00fcgbarkeit und die Kaufkraft der Verbraucher beeinflussen. Zu den wichtigsten Kennzahlen geh\u00f6ren Inflationsraten, Zinss\u00e4tze, Wechselkurse und Wachstumsmuster der Wirtschaft. Sozial (S): Dieser Aspekt betrachtet die demografischen und kulturellen Merkmale des Marktes. Dazu geh\u00f6ren Bev\u00f6lkerungswachstum, Altersverteilung, Berufsattit\u00fcden, Gesundheitsbewusstsein und Ver\u00e4nderungen im Lebensstil. Technologisch (T): Dieser Faktor bewertet das Innovationsumfeld. Dazu geh\u00f6ren Forschungs- und Entwicklungsaktivit\u00e4ten, Automatisierung, Technologief\u00f6rderung und das Tempo der technologischen Ver\u00e4nderungen, die traditionelle Gesch\u00e4ftsmodelle st\u00f6ren k\u00f6nnten. PEST im Vergleich zu SWOT und PESTLE Es ist \u00fcblich, PEST mit anderen strategischen Werkzeugen zu verwechseln. Um Klarheit zu schaffen: SWOT-Analyse: konzentriert sich auf interneSt\u00e4rken und Schw\u00e4chen, zusammen mit externen Chancen und Bedrohungen. PEST wird oft vor SWOT, um den Bereich \u201eChancen und Bedrohungen\u201c mit datengest\u00fctzten Erkenntnissen zu f\u00fcllen. PESTLE-Analyse: Eine Erweiterung von PEST, die zwei zus\u00e4tzliche Kategorien hinzuf\u00fcgt: Rechtlich (Diskriminierungsbestimmungen, Verbraucherschutz) und Umwelt (Kohlenstofffu\u00dfabdruck, Nachhaltigkeitsziele). Visual Paradigm AI: Automatisierung der strategischen Analyse Traditionelle strategische Planung kann arbeitsintensiv sein und oft Tage der Recherche erfordern, um relevante externe Faktoren zu identifizieren.Visual Paradigm AI transformiert diesen Prozess, indem k\u00fcnstliche Intelligenz genutzt wird, um zu generieren, zu verfeinern und zu analysieren strategische Leinw\u00e4nde sofort. Wie VP AI die PEST-Analyse verbessert Visual Paradigms kI-gest\u00fctzte Tools l\u00f6sen die h\u00e4ufigen Probleme des leeren Blattes und der Daten\u00fcberlastung. AI-Leinwandgenerierung: Anstatt von Grund auf zu beginnen, k\u00f6nnen Sie einen Prompt wie \u201ePEST-Analyse f\u00fcr Tesla Energy.\u201c eingeben. Die KI zeichnet sofort die wichtigsten politischen, wirtschaftlichen, sozialen und technologischen Faktoren f\u00fcr die Energiewirtschaft und die Automobilbranche auf. KI-unterst\u00fctzte Ideenfindung: Wenn Sie an einer bestimmten Stelle steckenbleiben, beispielsweise bei den wirtschaftlichen Faktoren f\u00fcr eine Einzelhandelsmarke, kann die KI aktuelle Inflationsentwicklungen oder Handelsverschiebungen analysieren, um relevante externe Druckfaktoren vorzuschlagen. Tiefgang und Organisation: Das Werkzeug erm\u00f6glicht es Ihnen, sich auf bestimmte Bereiche zu konzentrieren. Beispielsweise k\u00f6nnen Sie innerhalb des \u201eTechnologischen\u201c Quadranten die KI nutzen, um spezifische regulatorische Entwicklungen oder wettbewerbsbezogene Fortschritte aufzulisten, Anmerkungen hinzuzuf\u00fcgen und Datenquellen zu verkn\u00fcpfen. Generierung strategischer Erkenntnisse: Abgesehen von der einfachen Auflistung hebt die KI hervor, wie sich sich ver\u00e4ndernde Politiken oder Marktbedingungen auf die langfristige Positionierung auswirken k\u00f6nnten, und schlie\u00dft so effektiv die L\u00fccke zwischen Beobachtung und Strategie. Praxisbeispiele Um die praktische Anwendung der PEST-Analyse zu verstehen, betrachten wir, wie sie sich auf unterschiedliche Branchenszenarien anwenden l\u00e4sst. Szenario 1: Automobil- und Verkehrswesen (Hersteller von Elektrofahrzeugen) Ein EV-Unternehmen muss sich einem komplexen Netzwerk von staatlichen Anreizen und Infrastrukturaufgaben stellen. Faktor Analysepunkte Politisch Regierungssubventionen f\u00fcr gr\u00fcne Fahrzeuge, Einfuhrz\u00f6lle auf Rohstoffe und CO2-Emissionsvorschriften. Wirtschaftlich Schwankende \u00d6lpreise, die die Attraktivit\u00e4t von Elektrofahrzeugen beeinflussen, die Kosten f\u00fcr die Batterieproduktion und das verf\u00fcgbare Einkommen der Verbraucher. Sozial Zunehmendes Umweltbewusstsein, Reichweitenangst bei Fahrern und Urbanisierungstrends, die den Fahrzeugbesitz verringern. Technologisch Fortschritte bei Festk\u00f6rperbatterien, Ausbau von Schnellladenetzen und Integration von autonomem Fahrsystem-Software. Szenario 2: Lebensmittel und Getr\u00e4nke (globale Fast-Food-Kette) Eine globale Franchise steht unter Druck durch Gesundheitsaktivisten und Volatilit\u00e4t in der Lieferkette. Faktor Analysepunkte Politisch Gesundheitsvorschriften bez\u00fcglich Zuckergehalt\/Fettgehalt, Erh\u00f6hungen des Mindestlohns und Lebensmittelsicherheitsstandards. Wirtschaftlich Globale Lieferkettenkosten, Auswirkungen der Inflation auf die Menupreise und Engp\u00e4sse auf dem Arbeitsmarkt. Sozial Verschiebung hin zu pflanzlichen Ern\u00e4hrungsweisen, Nachfrage nach ethischem Beschaffungsverhalten und \u201eon-the-go\u201c-Lebensstilgewohnheiten. Technologisch Einf\u00fchrung von Selbstbedienungskiosken, appbasierte Lieferplattformen und KI in der Bestandsverwaltung. Durchf\u00fchrung der PEST-Analyse Durchf\u00fchrung einer PEST-Analyse ist kein einmaliger Vorgang, sondern ein kontinuierlicher \u00dcberwachungszyklus. Befolgen Sie diese Schritte, um die Wirksamkeit zu maximieren: Definieren Sie den Umfang: Bestimmen Sie, ob Sie eine spezifische Produktneuheit analysieren, in ein neues Land eintreten oder die gesamte Unternehmensstrategie \u00fcberpr\u00fcfen. Daten sammeln (manuell oder mit KI-Unterst\u00fctzung): Verwenden Sie Visual Paradigm AI, um die erste Liste von Faktoren zu generieren, um sicherzustellen, dass Sie offensichtliche Makrotrends nicht \u00fcbersehen haben. Auswirkung bewerten: Nicht alle Faktoren sind gleich. Bewerten Sie jeden identifizierten Faktor nach seinem potenziellen Einfluss (Hoch\/Mittel\/Niedrig) und Dringlichkeit. Strategische Ma\u00dfnahmen entwickeln: F\u00fcr jeden negativen Faktor erstellen Sie eine Minderungsstrategie. F\u00fcr positive Faktoren erstellen Sie eine Ausnutzungsstrategie. Integration: Speisen Sie diese Erkenntnisse in Ihre SWOT-Analyse-Raster oder Ziele und Schl\u00fcsselergebnisse (OKR) Rahmenwerk ein, um eine Ausrichtung \u00fcber die gesamte Organisation hinweg sicherzustellen. Fazit Unabh\u00e4ngig davon, ob Sie ein Mission-Modell-Raster f\u00fcr eine Non-Profit-Organisation oder ein Blue-Ocean-Strategie Layout f\u00fcr ein Startup verwenden, ist das Verst\u00e4ndnis der externen Umgebung die Grundlage f\u00fcr fundierte Entscheidungen. Die PEST-Analyse bietet die notwendige Perspektive, um diese externen Kr\u00e4fte klar zu erkennen. Durch die Kombination dieses klassischen Rahmens mit modernen Werkzeugen wie Visual Paradigm AI, k\u00f6nnen Teams von der passiven Beobachtung zur aktiven strategischen Planung, was sicherstellt, dass sie widerstandsf\u00e4hig gegen\u00fcber politischen, wirtschaftlichen, sozialen und technologischen Ver\u00e4nderungen bleiben. Ressourcen Was ist das Gesch\u00e4ftsmodell-Raster? Warum Visual Paradigmen und KI-Tools nutzen?: Dieser umfassende Leitfaden erkl\u00e4rt das Gesch\u00e4ftsmodell-Raster, seine zentralen Komponenten und wie visuelle Paradigmen und KI-gest\u00fctzte Werkzeuge die strategische Planung und Unternehmensinnovation verbessern. KI-gest\u00fctzter Builder f\u00fcr das Gesch\u00e4ftsmodell-Raster \u2013 Sofortige Strategiegestaltung: Ein k\u00fcnstlich-intelligente gest\u00fctztes Werkzeug, das die Erstellung von Gesch\u00e4ftsmodell-Rastern automatisiert und intelligente Vorschl\u00e4ge sowie Echtzeit-Erkenntnisse bietet, um die Gesch\u00e4ftsplanung zu beschleunigen. KI-Raster-Tool \u2013 Intelligente Gestaltung f\u00fcr Gesch\u00e4ftsrahmen: Eine KI-gest\u00fctzte Raster-Anwendung, die Nutzern hilft, Gesch\u00e4ftsmodelle, Wertversprechen und Strategierahmen mit<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4667","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PEST-Analyse-Leitfaden: Beispiele, Definition &amp; KI-Tools<\/title>\n<meta name=\"description\" content=\"Entdecken Sie externe Bedrohungen und Chancen mit unserem umfassenden Leitfaden zur PEST-Analyse. 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