INVEMAR - PROY PLANIFICACIÓN ECOREGIONAL ENERO 2007 FondMovGranoGruesoNOCarbo vector digital data withheld FondMovGranoFinoCarbonatados Describe la clasificación de fondos sedimentarios en el Caribe Colombiano. Escala 1:250.000 Espacialización de los objetos de conservación dentro del proyecto de Planificación ecoregional del caribe. Capa generada por el CIOH. Convenio INVEMAR - TNC en 2006 Junio 2006 Diciembre REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. ground condition Complete As needed -77.366572 -70.909271 12.580123 7.901604 -77.366572 -70.909271 7.901604 12.580123 Objetos Conservación Fondos Sedimentarios - Proyecto Planificacion Ecoregional Costas Caribe Colombiano Restricciones de uso bajo autorización INVEMAR - TNC Autorización INVEMAR TNC Instituto de Investigaciones Marinas Luisa Fernanda Pinzón Florez Investigador Asistente physical address
Cerro Punta Betin
Santa Marta Magdalena Colombia 057+3008163548 luisaf_pinzon@invemar.org.co / luisaf.pinzon@hotmail.com Restringida Restricted Previa autorización INVEMAR ESRI ArcCatalog 9.3.1.4000 Instituto de Investigaciones Marinas - INVEMAR Enero 2007 Proyecto Planificación Ecoregional del Caribe map File Geodatabase Feature Class Adaptado a partir del tema de Facies sedimentarias A partir de las 15 categroias de clasificación de fondos móviles se establecieron 4 categorias así: Clasificación Inicial Nueva Clasificación Facies sedimentarias Clasificación OdC (según taller de expertos mayo 2006) Lodos biolitoclásticos Fondos móviles de grano fino carbonatados del sublitoral Lodos arenosos biolitoclástico Fondos móviles de grano fino carbonatados del sublitoral Lodos arenosos bioclásticos Fondos móviles de grano fino carbonatados del sublitoral Lodos litoclásticos Fondos móviles de grano fino no carbonatados del sublitoral Lodos arenosos litobioclastico Fondos móviles de grano fino no carbonatados del sublitoral Lodos arenosos litoclasticos Fondos móviles de grano fino no carbonatados del sublitoral Lodos litobioclasticos Fondos móviles de grano fino no carbonatados del sublitoral Arenas lodosas biolitoclástica Fondos móviles de grano grueso carbonatados del sublitoral Arenas biolitoclásticas Fondos móviles de grano grueso carbonatados del sublitoral Arenas bioclásticas Fondos móviles de grano grueso carbonatados del sublitoral Arenas lodosas bioclásticas Fondos móviles de grano grueso carbonatados del sublitoral Arenas lodosas litobioclástica Fondos móviles de grano grueso no carbonatados del sublitoral Arenas litobioclasticas Fondos móviles de grano grueso no carbonatados del sublitoral Arenas lodosas litoclasticas Fondos móviles de grano grueso no carbonatados del sublitoral Arenas litoclásticas Fondos móviles de grano grueso no carbonatados del sublitoral INVEMAR 2003 - 2006 document paper INVEMAR Recopilación información secundaria Luisa Fernanda Ramirez INVEMAR Investigador Adjunto luisa_ramirez@invemar.org.co Generación de Bases de datos Espacialización del Objeto de Conservación Estructuración, ajuste y codificación de la información Metadata imported. withheld Dataset copied. withheld 20101004 16122300 Dataset copied. withheld 20101004 16135000 Dataset copied. withheld 20101004 16163700 Metadata imported. withheld 20110808 12492100 Dataset copied. withheld 20110808 20012000 Dataset copied. withheld 20110808 22582200 Dataset copied. withheld 20110826 17072300 Vector Simple FALSE 0 FALSE FALSE 0.000000 0.000000 Decimal degrees D_SIRGAS Geodetic Reference System 80 6378137.000000 298.257222 GCS_SIRGAS 0.000100 Explicit elevation coordinate included with horizontal coordinates FondMovGranoGruesoNOCarbo Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Shape Geometry 0 0 0 Eco Eco String 100 0 0 Ecosistema area_ha area_ha Double 19 0 0 Área en hectáreas SECTOR Sector String 50 0 0 Shape_Leng Shape_Leng Double 19 0 0 Shape_Area Shape_Area Double 19 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. INVEMAR Cap. Francisco Arias Solicitud Información 0,001 0.000 20110826 INVEMAR Luisa Fernanda Pinzón Florez REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. 057+3008163548 FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en 20220217 08425800 FALSE 20220216 15201100 20220216 15201100 FondMovGranoGruesoNOCarbo 002 -79.247125 -71.084354 1.408330 12.571822 1 0.000 Geographic GCS_MAGNA Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>GEOGCS[&quot;GCS_MAGNA&quot;,DATUM[&quot;D_MAGNA&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4686]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4686</WKID><LatestWKID>4686</LatestWKID></GeographicCoordinateSystem> 1.0 ISO 19139 Metadata Implementation Specification 150000000 5000 ISO19139 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.0.12790 CAPA VECTORIAL DE FONDOS MÓVILES DE GRANO GRUESO NO CARBONATADO EN AMBIENTE COSTERO Y MARINO SOMERO. COLOMBIA. ESCALA 1:250.000 2021-11-10T10:00:00 2021-11-30T10:00:00 Laboratorio de Sistemas de Información - Labsis Instituto de Investigaciones Marinas y Costeras "José Benito Vives de Andreis" - INVEMAR Programa de Investigación para la Gestión Marino y Costera - GEZ Calle 25 No. 2 -55, Playa Salguero Rodadero, Santa Marta D. T. C. H. Magdalena 470005 webmaster@invemar.org.co CO (0057) + (5) + 4328600 (0057) + (5) + 4328694 Lunes a Viernes; 7:00 a.m - 11:30 a.m y de 1:00 p.m. - 5:00 p.m. Establecer previo contacto telefónico y/o a través de correo electrónico, para realizar la solicitud o programar una cita en el horario de atención Laboratorio de Sistemas de Información - Labsis -81.735621 -71.542528 13.378825 8.219375 1 Este shape es a nivel nacional, ya que abarca la parte marina de Colombia, específicamente el Mar Caribe y se trabaja de manera sectorizada a partir de información disponible en INVEMAR. -77.366572 -70.909271 12.580123 7.901604 1 Esta capa se utilizó con el objetivo de calcular la representatividad ecosistémica de los FONDOS MÓVILES DE GRANO GRUESO NO CARBONATADO en el Caribe Colombiano en ambientes someros marinos y costeros para el “Proyecto Construcción de indicadores esenciales de biodiversidad para el seguimiento de los objetivos del SINAP en el Subsistema de Áreas Marinas Protegidas-SAMP, permitiendo interoperabilidad, articulando el cálculo de los indicadores para los atributos de ecológicamente representativo y bien conectado”, CONTRATO INVEMAR-WWF C368 DE 2021. Este Shapefile (Capa vectorial) tiene escala 1:250.000. <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="text-align:Justify;margin:667 0 667 0;"><SPAN>Este shapefile describe la clasificación de fondos móviles de grano grueso NO carbonatado en el Caribe colombiano. Información vectorial que proviene del proyecto SAMP del año 2015. La información original proviene de los objetos de conservación –ODC del proyecto de Planificación ecorregional para la conservación in situ de la biodiversidad marina y costera en el Caribe y Pacífico continental colombiano- PLANECO del año 2007. Convenio entre INVEMAR – TNC – CI – UAESPNN, a escala 1:250.000.</SPAN></P></DIV></DIV></DIV> Ecosistemas fondos sedimentarios <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>La información no es de carácter oficial, solo puede ser utilizada para continuar con el proceso de construcción de indicadores para SIM SINAP</SPAN></P></DIV></DIV></DIV> Instituto de Investigaciones Marinas y Costeras "José Benito Vives de Andreis" - INVEMAR y World Wildlife Fund - WWF (CONTRATO C368 DE 2021) 50000 500 Laboratorio de Sistemas de Información - Labsis Instituto de Investigaciones Marinas y Costeras "José Benito Vives de Andreis" - INVEMAR Programa de Investigación para la Gestión Marino y Costera - GEZ Calle 25 No. 2 -55, Playa Salguero Rodadero, Santa Marta D. T. C. H. Magdalena 470005 webmaster@invemar.org.co CO (0057) + (5) + 4328600 (0057) + (5) + 4328694 Lunes a Viernes; 7:00 a.m - 11:30 a.m y de 1:00 p.m. - 5:00 p.m. Establecer previo contacto telefónico y/o a través de correo electrónico, para realizar la solicitud o programar una cita en el horario de atención Laboratorio de Sistemas de Información - Labsis Laboratorio de Sistemas de Información - Labsis 1 -79.247125 -71.084354 12.571822 1.408330 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Shapefile No definido 0.000 GCS_SIRGAS EPSG 7.6.4(9.2.0) 0 20220216 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCANIAqgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiuZ+IXxJ8NfCnw2+veK9Wh0fS1kSETSKzs8jH 5UREBZ2wCcKCQFYnhSR85fHH9uSx8O+MtD8I/Di98O6xf3VzDHfa/q07NpFoshAUeZE43Y3B3kBK oARhmLBOLEYyhhVerLXt118j6bJ+G81z2ajgqDcXf3mmoLlV5Xltpdab6pW1R9Z0V558Eo/Et94T j8Q+JPGMPixtejh1GzjsdOWzsrGCSMOsUIKiZ1+f78x3FVTKq27d4t8RP2K/FfjzWr6dvjn4nOl3 EkksdhqcTXIiaSJo5QNk0UYVlkmXakagJIUwRnKqYiqqcZ0qTk30ul+tjTB5TgJYyrhcwx0aMYfa 5Kkk31SSipK2zul5XPqyivzy1b9lH4rfsp67Z+O/htq//CZfZdkV1Z2llItxMjsQ8b2qs/nQnEeS r7wSGCr5fmDX8M/tfftA/FhZNS8EfD/TrrS9KjM940NlNLHO8cAEsXmNKu5i8glWGL97gIMuA2/z lm3s37PE0pRn2XvXXdNfifYz8P8A63T+t5Lj6VfDpazk/Zcsv5ZRk2039m+/l1+9qK8P/ZT+IvxM +IHhPUT8S/Ck3h+9sJIre2vri1ezkvx5f7xmt35VgQCXUKjGTCqNjV7hXsUa0a9NVIppPvoz84zP L6uU4ypgq0oylB2bi1KL0vo16+q2dmrBRRRW55YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAVkeLPFmkeBfDd/r+v38Ol6RYR+bcXUxO1FzgAAcsxJACgEsSAASQK168t/aU+HWhfE74VX+k+ JPFc3g7SI5EuJNSF1HBb+YMrEtxvwrxeY6Ns3KSyJhgcGsqznGnJ0leVtPU9DL6eFq4ulDHTcKTk uZpXajfVpa6220PmK1/4KEfZPj5re+8+2/Ch932bzdOxeR+VatjyNpU/v7gDHnZwrLnyvmx2nwj/ AG+rr4reMDo1v8MdR8qGyur+4k0u+N9OkcMLyALEIE3M7qkS5ZQXlQZyQDheD/2JfhL8I4fO+Lvi zT9QvbyS4jsoL7Uxpdq0Kuux1G9ZGlC4LYcovm7cNtDta0uPTtJ8O6h4D/Zs0W8v4n8r/hJ/GNlc xJdlMywqLaW5kjWR3aCb97F+6i3O0YLP8vzmEo5s5KVaooxbba3fp1su1np9x+z8QZl4f06NSll2 ElVrRhGEZXcIXSa9po4uUusnKFpNLvJvxvx98WNe/bK+NPgHwbqenaj4N8NzSW7SaOssk7MHUytd grb53NbsuxnRkQHeWVHdq8X+Jnwd1H4d/Ei+8Gp9o1HULO8WyeaSBIY2eV2NsVYSOoEsPlSfMVKl nUj5Cx+jfDOl2uvWen+KfBetah4dl1Ayf2hewu4vb+F7hJZ4pbgt5wcywgeYJCcbxllau1sdNjsZ LuUTXd1cXcomnuL67luppXCKgLSSszHCIijngKK9CjllKNT29Z89Tu/8tj4/MeOcfiMH/ZWXRWFw trckLt7tu83eTbb12urJ31vw3wf8Aa78P/Ds+m3euXlkGnMqx+H9Zv7VHYgAySBJUUuQFXhBwgyW zx6DaeMfiD4HguLrwz4sv9U2NJcroviNv7RguG8nYIxNIwnjBYIwxNtDZ+XBIp1FewfnB1nhn9rr xE3xUbTfFXglfD/gW+mZLLW2uPMewjRGPmXhj8xAHfy+cxrEGYlnClq+jPDXi7QvGljJe+H9a0/X bKOQwvcabdR3EayAAlCyEgNhlOOuCPWvkeuYl0l/h3KPFfgW2h0TxHpcUkscdhajy9QjwGe0niTH mpJtAH8SsFZSCKxpwlTupScru+ttPLQ9HG4qlinTlSoxp8sVF8vNaTX2nzN2bVr20bV7Jtn3rRWT 4T8WaR468OWGvaDfw6npF9H5tvdQk7XXOCCDyrAggqQCpBBAIIrWrY84KKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAoormfiT48tfhj4H1bxTfafqOqWWmRiae30qETXHl7gGcKWUbUBLsSQAqse1TK ShFylsjehRqYmrChRV5SaSXdt2S+86aivyg8Wfth/Frxl8QL/wAX6HrOo6FZWMe6PSrAmaxsrYt5 StNGymORi0qgyyLy7rt24RV+4Phpq3jn9o6Hw94y1hNR+GfhG0kivtP0XTb7ddazIrhhLcymNcWh T5VhCgyb2cnaIyfEwub0sZOVOlFtrbzXe/T5/LU/Ts88PMw4dw9LF5hWpxhJe9rdxna6hy7yb7xu lq5Wik37/Xzn+1v8JdL1/T7Txze3l7c3elyWGmw6TcCGfTzHPqEMczmKSNisjLJgujKcRoOg5+jK 8B/ao8ZrJH4e8BWLwvqGqXMWrX2drtbWNpMkobb5isrSTrDGp2sCBN3WvdPyo8b0rwnomhXDXGm6 Np+nzsuxpbW1SJipIO0lQDjIHHsKwPhn8XfE3gHw/r/hXRPC17Y+ONQ1NluPHV3ppuYdQi8yVPOY O8aweTEUMSAyxsVZdg8wmuzooAwPBvhmXwtp9zby3NvP51wZwlnbG2gjJRA4SLeyxhnDyFU2oGkY IiLhRv0UUAFFFFABRRRQB1/7O3jS58GePJvBF4fN0LxDLcajpExMztbXgUSXFqc7kVJAJbheUAZZ hg7hX0/XwP8AFH7ND4F1W+mlFrcafC17Y3aymKS3u0BMEkbggq4faAQcknHfFffFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRXJfFjx9/wq34c6/4r/sm71z+yrYz/AGGyHzycgZJwdqLnc74O1FZsHGD81fsk fET46fGrxl/wlfiXUfsnw3P2p44U061jhupQdiwRNgThELk+ZlwTAUZixbHDVxkKVaGHs3KXZbLu /I+qwHDmJx+WYjN/aQp0aOl5ys5Stfkgkm3Jra9lrvo7fYVfMXjb9urQtB+L1n4A8P8AhjUfFGof 2suj3k6zx2irOZEj2wCT/WsHLqd5iXKDDFW3D6dr410b/gmV4OgvtSfVvF+uXtlJJmxhs44beSCP LfLK7LIJWwUG5VjGVJxyAuGPeNtCODS31en69/RnrcJQ4Z5sRV4jnKyilTilJ3bvdvlafu6O3NFP XXSx5N8bf+Cg3jPWvFklv8PbuHw5oFlJNDHdLBHcyaiokISdhPF+6UoFIjCggs25m4C+H/C/RfHf xq+KQGmSXfibxJLbTT3UmpXk/wDpUCQFXhnnVw6pKmLfJdQfNVCyg5H6N+Df2I/hD4M1SbUF8Nf2 1ObmWeFNZna6ht0ddohWI/I6KCdpkV3BOSxIBHtOh6BpnhfS4NM0bTbTSdNg3eVZ2MCwwx7mLNtR QAMsSTgckk14X9j4zFVFUxtbS97LX7ui+4/U34jcO5Bg5YThnL7SceXnmlFvfWTV5Ts+jlHyskj5 q+CP7Avgr4ef2Zq/ir/ir/EKWzLc2t2qSaWsr9SkLJl9qkqDISDy+xTtCfTmn6fa6TY21jY20NnZ W0awwW9vGEjijUAKiqOFUAAADgAVYryX4j/tKeFvBMz6XpEi+M/FRaeJdD0W6hd4JIlO77U5bbbo H2oS3zZb5UYggfUYfC0cLHkoxsj8LzjPsyz6u8RmNZ1H0vsvJLZLXoepahqFrpNjc3t7cw2dlbRt NPcXDhI4o1BLOzHhVABJJ4AFfFkfiJ/H3ijxF40kuHuYtYu2TTiyTRqmnQs0dqEjkYlQ67pzgLlr hjgVJ491HxH8ZpZl8bXqRaGytHF4Z0W4nitAPO3q9xIGVrmQBYsEqiKVJVASTUtvbxWdvFb28SQQ RKEjijUKqKBgKAOAAO1dR4BJRRRQAUUUUAFFFV9Q1K00mzku766hsrWPG+e4kEaLkgDLE4GSQPxo AkuLmKzt5bi4lSCCJS8ksjBVRQMliTwAB3rl/A/jyD4vawvh7wIy33iKdZmjGoQTx2tskYb9/O6o 22MkKBjktLGp2liV1dNg8Y/ETVrXTPAGhR39tcQPOfFGqCWPRogjAFVmRT57kgptjJKsefuvt4rT P2l/iN+zU198J4fBuh6j44h1t5ZtQhR5hqRucSIfJh2NJK/mR7WyCECRmMMvHDisZSwcVKtez8rn 1OQcN5hxLVnRy9RcoK7vJR0va+r1S622uu51Hxw8Mar8HfFPg3wv4P0fUvHHxT1vbcWvivWrWKa3 tWRo96WFsw+zwuGgWR5GUtCj5Ltv3J9bfA3wn4n8D/C3RNE8Zaz/AMJB4ktfP+16j9qlufO3TyOn 7yUB2wjIvI424HAFd5RThh5Rryrym3fRLol/n5meKzilVyqjldDDRhyvmnPec5apXfSKi7KK0vd9 QooortPmgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKoWev6ZqGqahplrqNpc6lp3l/bbOGdXmtvMXdH5iA5TcoJG4DIGR SuluXGEpJuKulq/Lpr82l8yfUNPtdWsbmxvraG8srmNoZ7e4jDxyxsCGRlPDKQSCDwQag0PQNM8L 6XBpmjabaaTpsG7yrOxgWGGPcxZtqKABliScDkkmuD+POm/EvVvDOlWnwt1W00TXZNSX7VfXyxtD FaiCYtuDxyHmQQqNiFskdF3Eel1lGSlUa5duve/b9TuqUpUsJTmqyam37ibvFx0TkrWV7vl1bsnt pcrmfHHxM8KfDWxF34p8Q6doUTRyyxLeXCpJOsYBcRR53SsAV+VATlgAMkV8x/Eb9uPxD8I/jJrn hLxH4O0kaatzGlhcLrBDwW5JXz7oxJOfnXbKIxGsiIw+V9yk/IPg2w1z9pL4hXt/4z13VdS8m3aW a8ZtxXdISkMZIKQrud2CKu0BWCqOo8Ovm8edUMLHmqNtWelrdz9Uynw6rfVZ5tntX2ODhCM+aLU3 NSWijZtJp2Tv1atdan1l8Rv269R8ZJNonwW8P3mo6iJJobjXNUtVW3hj2sI5YVL4DMQWUzhQNgBj YsQs9l8cvjN4g8B6Xpt1LovhPXEgZL3XEhF7dTSLIuxlgwIIiyK285kB3/KsfRczRtGsvD2l22na dbJaWVumyKGPoB/MknJJPJJJPJq5Xp4ehWhL2leo5Sa2WkV6L9WfD5xmuX4iisFlmDjSpRldTl71 WW696WiSd78sVZNbvc56XwZa65ctqPiuRvGWuyrtn1LWlE5++77Yo2ykEYaR8RxgKAQOcZrZ0/Tb TSbOO0sbWGytY87ILeMRouSScKBgZJJ/GrFFd58kFFFFABRUdxcxWdvLcXEqQQRKXklkYKqKBksS eAAO9eo/DP8AZ/03xT4bOseNLPVYtQvZ3ktbJNSu7BrS1GFiV0hlTLuFMx3qHXzvLb/V0AeRat4j 0nw/5X9qapZ6b52fL+13CRb8YzjcRnGR09RWj4X03xB48t7efwz4Y1TULS4WN0v72BtPtAkgzHLv uAjSRkfMWgSUgDO0kqG+qPDXwz8H+C76S98P+FND0K9kjML3Gm6dDbyNGSCULIoJXKqcdMgeldLQ B8+6D+zRq2p2xm8TeKZdIuD9yz8MrE6R8kHfPcwsZcgKRtii25YHfw1eg+CfgP4M8B6sms2elm+8 QrGsZ1rVJWuroYVwxjLnbBu8yTcsKxqd2NoAAHoNFABWQ/hPSJPFkPic6fCNfisn01b9QRIbZ5Ek MTY+8u9FYZztJbGNzZ16KTipbo0hUnTu4SauradnuvRhRRRTMwooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiuLvfjZ8PNNmWG78e+GLWVo 45ljm1i3RjHIgeNwC/3WRlYHoQwI4NX/AA18TfB/jS+ksvD/AIr0PXb2OMzPb6bqMNxIsYIBcqjE hcsoz0yR60AdLRXmnxL/AGkPh18H9dg0bxd4i/snUp7ZbuOH7FczbomZ0Dbo42A+ZHGM54+lX/8A hfnwx/6KN4S/8Hlr/wDHK5/rFHmcedXW+qPYWTZm6UK6w1TknrF8krS9Haz+R3lFeAfFr9tz4Z/D GxYWOrw+MtXkj3wWOgzJPHkh9pkuATGi7kAIBZwHU7CK8I8H/t6fEr4hQ/ZdJ8N+GNOuNJsrjUtc 1a+jvbi1jtldQsqwQFpkVd6q2PN+9vPlorEcNXNcJRn7Nzu/LU+qy/gHiDMMM8ZHD8lNdZvl76pP V62SsndtJX1t97V8e3H7NfhDwn+1/o+vf8LMu7DxDrepXOvWfhm3tD9pl4eWZWuEbCQswlGHQb4w 8YLEFq8H8C/tFeL/ANn34ja9ommw+HfiRrPiDW473VNR0dhcJqbyhHEVpJDGjBy0sq4YSIrthI1I fzPPP2vPFmkeN/2ivGOsaDfw6ppcslvFFd25JjkaK2iicqf4l3owDDhgMgkEE+Bjc1w9ajGo6d5Q ktG2rb7Nb7eib69f1vhngHOMvzKtg6eLcKGIoS/eRjGXMnypJxlflV53XwylGLScXfl/UjXPjV4B 8O+G4Nf1DxnocOkXMc0trdLfxut2sJxKIApJmZTwVjDHJAxkgV+ZnxL/AGnfih+0D4pm06y1K+0z S795be18O6ROYovJkUK0czLtM42rlml+UZcgIpKjzj4b/DLVfiVqjW9hshtIHQXd5IwxArbiDtyC xOxsAd8ZIHNfV3w9+E2g/DX7U+mJNPdXHyvd3jK8oTj5AQoAXIzwOTjOcDBGeNztR09nS62e/wDn +XrYK2H4a8L51lzLF45r3FKKtT7X35W0039ppacqkcB8P/2Y7LRriC/8S3SapcxOHWxgX/Rsgt98 sMyD7pxhRkEHcDXtWn6baaTZx2ljaw2VrHnZBbxiNFySThQMDJJP41Yor6jC4Ohg48tGNvz+8/CM 84kzXiOt7bMqzn2W0V6RWi9d31bCiiiu0+ZCiiigAooqtqV8NNsZbgwzXLqAI7e3XfLPISAkUa/x O7EKq9SzADrQBveCfAFx8UPF1hZBXPhzTLtJ9cfC+VMioXSyO5WDmRjEZIwP9Tu3FfMjD/XNcb8J PAZ+Hfgey0y4MMuryk3ep3EJ3LNdycyFWKhmReI49w3COONT92uyoAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKyPF1zrFn4T1q 48PWsN9r8VlPJp1rcECOa5EbGJGJZcKX2g/MvB6jrVjQP7U/sLTf7b+yf2z9mj+3f2fu+z+ftHme Vv8Am2bs7d3OMZ5qeb3uWxv7L917XmW9rX12ve3bz7l+iiiqMAr4j/aC8Rad8ePilq/h3Tf7YttC 0Oxn0PV9TjlCw3VyLq3mNvFFKrBfLe3BaVAGcqoJ2Khf7cr4c06A23i74hR+fJcxf8JXqbxzFpDE d0xZljDopAR2dGA3KZEkKswINAGFoPwd8HeG9QS+sNChS6TBSSaR5thBBDKHZgrAgYYcj1rpL/Rb bULyxvXNxb39i7Pa3tlcy2txAWUo+yWJldQykggHB79KvUUAKvjDWG8NzeF/HGg23xe8JloBA2qT xw6raLsMMrK/lhJpAhLrKXikyzgyEkEc+ngX4Fm+mR/gT4nWyEaGKZdbUyNIS+9WT+0MKoAjIYMS SzAhdoLb9Fc1TDUKz5qtNSfmkz2sFnma5bTdLBYqpSi9bQnKK+5NGdJF8L/BfhvWT4K+AEt/r9zG otl8VNZ3lqsgJAZjLdysqjcSVjCl9oBI4ZeV8T/tHftN+IriGCw0zTPDL26b5Dpdvbss4c4Xc1zJ KMrsbhCCN3zZytd3RXHUy+EtKU3TXaNl+lz6TBcYYiheeOw1PF1L3Uq/PUaukrWc+W1l2vezvojx z9mnWvil+zfqmrSWvga01zTdW8n7bbzajFDN+6WXy/LkEhCfNKSdyNkDA29a5df2ftf8feKLnXvE qaR4Wt7yQyvpWhW0cSwKGCiKONB5aLsHDbnPQtuYsa+i6K5Y5Lh1CNOcpSjHZNq2vok/xPdreJmb yxFbG4ajSo16ySlUhGXM1FWXxzlFeqjfRa6GV4Z8K6V4O0tdO0eySxsw7SbFJYsx6szMSWPQZJPA A6AVq0UV7sYxhFRirJH5XXr1cTVlWrzcpyd222233berYUUUVRgFFFFABRUdxcxWdvLcXEqQQRKX klkYKqKBksSeAAO9YvhvxhF45sxceE9I1zxSjXK2gbTNJuDEJSV+VpnRYo8B1Yl3UBTk0Ab1df8A BfwY3jjx1Hqc8ayaF4bnLSq5H77UfLR4U2EHckaSiYkgYk+zlGJRwvGa5o/jnQ3gt3+G3iOW+vAU s44RbzxPJuRQss0EsiwL84JeXau1XOTtxX1H8K/h3D8MPBtroq3r6re72uL7VJokjkvLhzl5GCjA AG1FXJ2xpGmSFBoA6+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAorx79qr44XXwB+FT+IdOtIbzV7m9hsLKO6jL24kbc7GUK6Nt8uKTG053FOMZr 4Y8a/ty/Fb4taFL4Rt7HSbL+2M2MkWi6fJJcXiSq0RtwJHk+/v8A4AHyBgjkHxsZm2HwU/Zzu5W2 R+l8N+H+b8TYdY3DcsaPM4uUna1rXdt2lf7z9DPCPx18BePvGV94W8N+JrTXNZsrb7XNHYh5YRFl AWWcL5T4MqAhWJBJHUHHeV+amj/sh/G/4d/DBvFnhTxHd6bf3lsl7e+HdGvLq0vmiCI0aMoC75k8 yYNEeV2YQuz7R9Hfsw+LvHPhH4G3lx8Xdai8MXEl7LDomqeNbrbcHchISeOUxuVV1dlDS73XcBsR UZs8Fj69aapYik4tq9+lv6/HodfE3CeVZdhZ4/J8whWpwkoOLa5+b7TSstL7JX93XmdmfQ/izxZp HgXw5f69r1/DpmkWMfm3F1MTtRc4AAHLMSQAoBLEgAEkCvkT4s+OdV/aM8F6Jo+ueDdN0LTfttvq krS6tcT3UQVGzEIhDCFdg5jJZmChnwpYKRjaRrOsfEzSdO8SeMLptT1G+K6mlmLiV7C0LEtAYLd2 McbpGVXeF3/eJZizM25Xun5STaL4z+IHgeS7k8PeK31OCVXYaZ4t83UoRKVQKyTmRZ0HyHILuv7x iEzXqGi/tbaNbwkeM/Dur+E3jjmllvIIjqdhiNwBiSBTIMoQ+ZIYwMMM8c+U0UAfQfwC+NMXx48G 3viW10r+ybBdSns7WOS8jnmkiQKVklVP9S53H90xJAAYFlZSaHxYl1zRfil8NfEf9rf2N4C0r+0/ +EkubjU0tLNfNgSO085XdRJ+9OF4bax7Zr5x1DwXomqXwv5tNgXUlkjmTUbceTdpJGVKOs6YkVlK rghgeKk13w3H4o0qfTNZ1bxDq2mz7fNs77xDfzQybWDLuRpiDhgCMjqAa5alKcqPJzXkrO+12ndX stm1r5HvYTHYejmP1h0lClLmi4q8uWE4uEnHmlrOMZNxbdudJ7aH0V8P/wBqP4e/Er/hKrjStX+z aN4c+y/ata1QCzs3+0bgmxpSrDDIUO9V+bGNwINfNfh7Wh408ReKvGdnp/8AYeh+Jb4X1jpLQqkk YEaxtcSFQBvnKCUgbgN2dzFiTU0T4W+F/DzW32LSwEtZGnt4rieWeOGVvL3SokjMqOfKjy4AbCKM 8V1daUVVUF7Zpy622OTMp4KeKm8uhKNHTlU2nLRJNtpJXbu7JWV7LYKKKK2PMCiiigAooooAKKKK ACiiigAooooAKKKo6nrEWm7IVhuL/UZldrXTLCIz3d2UG5lhiX5nIHJwMKOSQATQBoeFfD83j74p +G/D8WlxarptpL/aWuLqFkLmwWzMU0aJKrMqs8kuPLX5irReYVIjwfsyvKf2dvhhefD3wleX2u2s MHi3X7k3+prG8cpgAGyC1EqIu5Yogo/iG9pSCQ2a9WoAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiisjxd4mtfBfhPWvEN9HNLZaTZT388duAZ GjijZ2CgkAsQpxkgZ7ilJqKbZpTpzrTjTgrtuyXmz8zv29PjF/wsr4yS6FZybtG8KeZp8fy433RI +1PyisMMixYJZf3O5Th69K/YNvvh7qEc1vdeAbT+0tC01tY1fxvq5EkNtPHdOYFj8wMkGIWD+YrR kmB8qdm+um8B+Hbb44/sp6hqnxxvNR8MWdpr8muya7HCLS41GNrdfKnYvGwlUi4MMYjXBWKGNB8o B6Lw/wDEzwv8PfhPeeC/hz8ONUvLZ1ltY7jxNDbw2l+7nypLq8VpPPdWUFihhUsoVAqLjb8fg8DW rYv69NpxlrqtfS2trbX7H9GcR8VZblvDr4UoU5RrUXye5N8um83JcvNzNuXI1bmd3tY7DxR+1cNT 2wfDnQ/7eSWxa4Gta2txp1lHI3EKojQ+Zcd3bbsXbtAfLceStpt/q+sQa34n1y+8U69CpWO8vmCx W+5EST7PboBFCG8sZ2ruOTuZsmptF0qLQtHsNNt2d4LOCO3jaQgsVRQoJwAM4HpVyvsT+bwooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK9i/Zs+G+jR+A/D/AI31HQNJfxfr Mbav/aqwrNcRRTqfIjWZkDLttjFGwUAEhzyWZm8c0Twhb/Ej4jeGfCl/Z3V7o1wLy91aOC7a2VrS O3aPa7JIjsDPcW3yrnPOeAa+x9P0+10mxtrKytobOyto1hgt7eMJHFGoAVFUcKoAAAHAAoAsUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABX i37UX7Qnh74EeDYF1nRv+Emu9c8y1t9EfCw3UQCicyuyMoQLIBtKsWLgYxuZfaa8q/aSPhCz+GOs 33igW8F1JYXek6XeLZLdXyT3cDQ+XaISGaRwcbVZchTuIUFhjWjOcHGm7N9d/X8D08trYbD4qFbG U3UhG75U3G7s+VXWqXNa9rO17NOzPnnxBq3/AAtDxJFqs+k3eieFNLjtIvDnhu6HkR2ixQn/AEh7 aOZ4RLumdF+UMiRIMA5q7WX4TtJdP8LaPa3FqllPDZwxyW0bFlhYIAUBLMSARjOT06nrWpW2x5sp OTbbu2FFFFAgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqlq2tWmiwwPdyMDc Tx2sEUUTSyzzO21I440BZ3J6KoJ6+lXa1Pg/4XuPiR8VND1D+y5n8LeGZp7+W/vtPP2e5vk8y2ih gaQjc0bmaQyIrhWhjGQWFAHqf7Pfwd1HwWb/AMWeK1th4v1iCOA2cCo6aVaKzOtqsoG53LNulYHa zKoUYRWPs9FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUVQ1+8vtP0LUrrTNP/tbUoLaSW10/wA5YftMqqSkXmNwm5gF3HgZyaTdlcuEXOSi t33dvxei9WX6/L39pL4q3vi39o7W/EAtJoh4KP8AZ8UGmJI+Yre/ML/apTtESyGWT5lVlHmwxkEs zD6H8F/Fz49/ELW9W8Rat4fh+Hvg7wxHcahPpF/btp9xqsflSyQwG6vImjCq0KLJKvkhVlZuPl2/ O3hLxlrGtaRpvh/U/F+oy2Hi7W73V9Yh0KwkiS+upreIy289yjKCgR0LxRptTzW34ARl5sPiI4mP PBNLzVrntZxk9XJa6w1epCU7JtQlzct9k2la9tdG1ZrW+h7tRRRXUeEFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXuf7KGlS6R8APCsclu9tHcC5vreOQRBvs9xdTTwMRF8 ikxSRttXAXOMDGB4ZX0X+zvqFrqXwF+Hk1pcw3US6BYwtJC4dRJHAiSISP4ldWUjqCpB5FAHodFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA V5542+Gev+O77U4p/iHrnh7QZ44EtrDwzHDZ3ETIS0jyXTrJIzM23Hl+UAq7SGyxPmn7TP7Wt18E PFml+DtB8JTeJfE2rWX2i2LSkRpJJI0UCrGis8zF0bKAocbQGJb5ff8AQP7U/sLTf7b+yf2z9mj+ 3f2fu+z+ftHmeVv+bZuzt3c4xnmuaniadWpKlB3cdz3MZkuNwGCoY/ExUYV78mqu0t3ZO6Xra/Q+ a7r4N/Er4weMpPDHjq7u9J+Dmg+RBBZNfx3F94l8glY5rmeP5x5hUSSBtmP3YVd4Mq+efFLWtH+K 3jvS/C3hfSrjwp4P+HGq3K3FrBElvbXuorMQBFDHmMKhR23n5yLhhtXcWPt37Zei/EPWvhPbf8K2 k1aPWbTUlu7r+xbw21w1qsE+8Da6tJ8xj/drlmOMKSK+S/2Y9PutJ8F6zY31tNZ3ttrM0M9vcRlJ IpFjiDIynlWBBBB5BFc0sXJYxYXk0avf/I9qnw7Snw7Uzz6wnKM1H2atdXe8tbpdtNT16iiivSPi QooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAy/Fmqy6F4W1jUrdUeezs5r iNZASpZELAHBBxketfXvwz0e18O/DfwppNlqUOs2VjpNpawalb48u7jSFFWVcMw2uAGGGIwep618 n+F/Ddn8QvjZ4S8MalY/21ocdtdatqen/aUjjAiMYt5LiMgtNF5rbfKBAZiGbcsbKftWgAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPJYf hv8ADf4u/E/TPipa6laeLb/RbYaba/Y72G6sbeVHaVZMJn98vnEjcxC7lYKGCsPWq8A0nwH4S/Y9 0XW7zwd4W8T+JL3Xr2KZ9P062uL+RYElVTEjJGURYkmldBKwaQgqZDjK+76fcyXljbXE1rNYyyxq 72twUMkLEAlGKMylh0O1mGRwSOa5cPBxhzTioyert3PdzjE062IVLDVp1aNNKNNzVmo72sm0rNvZ 679SDX9dsfC+halrOpz/AGbTdOtpLu6m2M/lxRqXdtqgk4UE4AJOOK+F/h3Y366Tf6zq8S2+teIt QuNdvreNWWOCa4beY1VvmUKNoKsSQc8mvev22L6zvfgje+ERewxa94lurW10y0bczzNHdQyyvhQS EjjVmZ8YUYBOWUHy6o/iYl/3F+Mt/uSX3nS74TJY2euIm7q32KSXK13UpTkn50/JhRRRXafMhRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB237IEGm/8ACXfFm489h4hfULGO 6tFYtElotqPssgJRfnctcbhk42AejN9MV8k/s8+FdQ8TfGK+8U6LONL8P6NIbHV5oLt/+Jzdi3YJ btCj7CsC3AYySKWDBUUcMR9bUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAVgw+C9Pt9L0zT1uNWMGnXIuoXfWbx5ncMzASymUvMmWP7uR mQgAFcKAN6igD4w+NPwl+M8PxJ1r4hHTdK8d6TFNMNN0Oxv7g3OnWgiK74IpRsWR1ii8wRB2dyQi 4Y4z/DuvWnijQ7HVrF99rdxLKmSCVz1VsEgMpyCM8EEV9v18LaTD4etPG3xItfC2mf2Po1r4muLV LIKFWOWOGFJyigkKhlWRlUYAUqAFA2jzadP6tWUYyup3dn33utPlq+1j7bF41Z5l0qtako1MOoRU oppOF+Xlkuayab5k4xV/e5ruzNuiiivSPiQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigArJ8U3lxb6PJb6fMket6gRYaUjMoM17L8kEa7vlyXK9eAAScAE1pXFzFZ28txcSpBBEpeS WRgqooGSxJ4AA712v7NHhU+LvHF349u9Lvo9KsNPitfD9zqFmIUne4BkubmFZFEuPLFuiyfKpDyg bsk0Ae/+BPBemfDnwbo/hnRovK03S7ZLaLKqGfA+aR9qqC7tlmYAZZmPet6iigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACq+oaha6TY3N9fXMNnZW0bTT3Fw 4SOKNQSzsx4VQASSeABVivnj9vLxRqnhn9nLWU0y1u5P7UuYNPuru0kZPskDNud3Kg5R9ggIJAPn gEnO1ubE1lh6M6r+ymz2cly2WcZlh8vi7e1nGN+13Zv5LW3XZanvGh6/pnijS4NT0bUbTVtNn3eV eWM6zQybWKttdSQcMCDg8EEVfr8e/gX8QfGvwvvIPGmkWl3rXhTwtqUdxqGmtcuLOOW6hltxIyA4 R2jEiLNtIVtgOdwVv1B8TWd18dPgtC3hnxBqPgyXxDZWd/Z6tCpF1axsY5wCI5FwxTKHD4+Y8kdf Oy3Mo5hB3jyyXTuu6+d0fZca8FVeEa8VGqqtKTaUtE4y35JK715XGV9Lp6HodZPizxZpHgXw5f69 r1/DpmkWMfm3F1MTtRc4AAHLMSQAoBLEgAEkCuX+IXxQ8PfBTQdHhvzfX91dOllpul20hur+8KgB mBlcFgi/M8sjgDqzbmAPgXxe+JutfG/R7vws3h6Hw94NuJYTdtqkom1C8WOWCYKiwSeXApZJFLGS RiMEKle0fmh7lpX7SHwx1ZJyfGuk6ZLBJ5UltrUv9mzq21WB8q5Eb7SGGG24PODwa7Pw14u0LxpY yXvh/WtP12yjkML3Gm3UdxGsgAJQshIDYZTjrgj1r4u8UeENJ8YafJaapZQ3G6KSKOd4kaWDeMFo 2YHa3AOR3A9K5Hwj8B/D3hX7bHI9zrFpPPHOlnfvuhVkjdFZ4xhJHHmy4Zl+UPgYOSwB9u/GX4qW Pwb8A33iS7tX1KdGS3sdMgkVZr65kbbHDHnkknLHaGIVXYK23FfK3huxvrDSIxql39v1aeSW7v7o BQJbmaRpZmUKqgKZHfACjAxUGl+C9E0W486x02C2ZZGmiRB+7gkZFR3iT7sTOqIGKAFgq7s4FbVZ cn7z2jfS3+f6fcd/1q2E+qxitZczfV2VorySvJ6b82uyCiiitTgCiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKxfGGvN4d0G4nt1E+pSj7Pp9oI2ke6u3BEMKIvzOzNgbV5xnpjNAGv4L 8Kn4o/GbSfDF/oq6h4W0uBdd1aS4eT7PP/ro4LZ0VdrkzBJdjttZYXyG2kH7RriPhL8JdE+EPha1 0zTLW3fUmhjGp6usO241Ocbi80zkszEu8jAMzbd5UcV29ABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWD4+8L/8ACceBfEfhz7T9i/tjTbnT/tPl+Z5P mxNHv25G7G7OMjOOorerB8feF/8AhOPAviPw59p+xf2xptzp/wBp8vzPJ82Jo9+3I3Y3ZxkZx1FR UV4NWv5HXhJ+zxFOfPyWknzWvbXe3W29up+fX7Mf7LvxJ1bV7EahJp1p8Mr69tdT1Rob+z1G11cW crFLYiCR/MUu0gIY7BgkhmRFP6G+LvEtr4L8J614gvY5pbLSbKa/njtwDI0cUbOwUEgFsKcZIGe4 rzv9mn4C/wDDO/gW/wDDn9uf8JB9q1KTUPtP2T7Nt3RRR7Nu9848rOc/xdOOX/tK+M9J0D4X6v4f u7n/AInPiqyudG0uyjUvJNLLEyGQqORFGHDyP0VR3YqreXlmDWDoKLTUnvd3t5aaW/zPueOOJJ8R 5rOpGcZUoNqLjBwUlp7zUm5czSSbb2irJI8O8VfEHWPi94q03xBeaMnhzR7CzubbT7GeQyX0onlj Yy3GAFiOy3hxEu8qWfLngCGiivXPzsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigArp/2adDh+Jfi6Dx4kF4PDuixyw6RdTK8UV/dyr5csyIWUlYYxJFl1Ks08gXBiJP MVQ0/S5tJsbaystf8T2dlbRrDBb2/iTUEjijUAKiqJ8KoAAAHAAoA+w/GHjDSfAfh+41vW7h7XTb d40kkjgknbdJIsaKEjVmYl3UYAPWvmr4jfGLxT8TL5dO0j+1PA/heNYJbhyY4tTvJQ8peJZ4Lh/K hwICSoDt8y7gpOeOt/Dem214t2tqsl0sjzCeZmlfzpBiWbcxJ82QAB5PvybV3FtoxpUAe5fs3/EM eLvCE2jX9/eXniPQ5pYrtb6CVZBbtdXCWbea6gTboYR+8DMSVJYliSfXK+Vvg38SPDPw38ZeIx4m vG0y71azjks7l2T7PNb2uMQImfNe7Mt3MRGisHQRhfmDA7dx+1hrcMA1JPh40+jkrL5ceqkamLck En7MbcL5wQ5MXm/eBUOeCQD6OorC8E+MtP8AH3hiz13TBMtrcGRDHcJtkikjkaOWNgCRuSRHUlSV JXKlgQTu0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVfUNQtdJsbm+vrmGzsraNp p7i4cJHFGoJZ2Y8KoAJJPAAo2HFOTSSu2WKKKKBBRRRQAUUVzfxE8dWfw38JXXiC+tLu+t4JbeH7 NYhDNI80yQoF3ui/fkXOWHGaAJrzUtT0nXb671B9JtfBtvpona+muWjuIJ0ZzKZAy+X5PlbDv3qV KNkMGBX46tdSTxx4m1vxvNdXOqT6rd3Edhd3aMhj0xJ5BaRwoyqY4zGEkxgFmcs2Sa2fiX4w1j45 apYLrujW2j+EdMmkuLbRLgx3c93P+9iSe5baUQLE+VijLYZyWdtqgR0AFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAezfsu6vu8L+INAdo lOkavM8EecTNBcgXPmsM8qZ5bpFYADEJXlkYn2ivmP4C6v8A2L8Xp7Nmijg17SGRnmOC09rJvhij OQCzR3N25XkkQ5GAjZ+nKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiq+oaha6TY3N7e3MN nZW0bTT3Fw4SOKNQSzsx4VQASSeABXl3wp/af8B/Gjxlq/hzwte3d3dafbLdi4mtHihuYiVDtGWw w2M6KQ6oSWyu4AkAHzx/wUQ+IXxD8A674Uj0HxXd6H4b1K2kZbfS5zb3BuoGPmO8iAPsKXEQC7yp KElQQCea/Y38bR/HrV7vwh8VPFuo+JFsI459F8P6nev5GoMJTNM0+MG7aMxRFY5mcBDJhCqnaft2 eOPCnxihv4dH16G01f4c3r2V1YagFhbU2uHSOT7Hlt8jQPBhwUAwxYMQBun/AGF/2VYdY+1eNviD 4U+06bNbRPoMGpiOS3uVk8wSTPbnJOFEewuApEm9Q3ysvwcnWrZs1SfPB9G242trf5p287H9Y0YZ dl/h7GeYR9hiY6KUYRjV53Lmg435W26couTi78jlqmnb7+oorktc+LvgXwvqk+maz418O6TqUG3z bO+1WCGaPcoZdyM4IypBGRyCDX3Mpxgrydj+VqGHrYmXJQg5PeyTf5HW1X1DULXSbG5vr65hs7K2 jaae4uHCRxRqCWdmPCqACSTwAK8t8UftY/CHwf8AZvt/j7SZ/tG7Z/ZbtqGNuM7/ALOsmz7wxuxn nGcHHzn+0h8c7n9obww3g3wNofiaLS7xs3Gq6jDDZadcxLPC8Uw8yN5ZEOwsoRoXAIJWTlRw18dS pxl7N801slq79Ntj6zK+FcfjK9J4yDoUG/eqTXLFRXxNOVlJqzsk9Xoes/ET9uH4f6Np2p2Hg6/m 8ZeLl8+2srDTNPmniM6o5WRn+RZIQyDLROxKnK5HI8r1HS7vxZ4gOv8Ai7UG8S6ys8k1sZ1ZbSwD FMJa25ZlhAEUfzDLsVJZiTU+k6Lp2g27W+mWFrp0DP5jRWkKxKWIA3EKAM4A59hVyumjGsrutJN+ Stb8Xc8TMquW1HGOW0pwSvdzkpOXyUYqKXbXzbCiiiug8YKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAS01f8A4RnxR4W1/dFGNL1e3eWS 4OIYoJiba4lkORhUguJn3EgKUDNlQQfs+viXWtKi13R7/TbhnSC8gkt5GjIDBXUqSMgjOD6V9ZfC 7xZL46+HPhvXrr7Ot9fWEMt5Fa58uG52gTxYJJUpIHQqSSpUg8g0AdRRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFAHl/wC0V8Q5vh78OZvsfh6HxRqetSNpNnpd3s+yyyPDK7faN5AMQjikJXq3C8bt w+TLbwTq+i+E9Di0rXBD4u8PgNpOvCARNCynAQqCco0eImVtwYcsrdK+tPjV8FE+LE3hrULXUYdH 1zQbmaW2vbi1e6QxTRGOWIxrLGPmPltuzkeXgcMa+cNHuNRDahp2tWyWmu6TdyaffwwrIIvNQjEk fmKrGORGSRDj7si8mgC9r37Ivg79pbwZd/ELw7DqPgjxhq5uZJtPursXNl/aKXMq3BlOGYq0iyKG jZVC7GEecoffv2b/AAR45+HXw2g8PePNY07Wb2wkW306TTB+7hsUhiSKIkxRkspR+SCSCMse3ivw 7+Juo/BGbUlGnap4o8K3073j6faTo1xpcpWR5Xt45MeakrlCYvMXY25kDFyB9GeB/i94M+JDNF4c 8RWOo3iLI8mn7zFeQqknluZLdwssYDYHzKOq+ozwU8DQo1nXpqze9tn8j6zF8UZpmGXRyvG1PaU4 tOLkk5RsrWjJ6pW6XOwr86PH0fhT4q/tYeNdVuRZQvplz/ZSaRdLul1CaCIwyTujsyso8tgojx8q IzKpyX/ResnxL4R0LxpYx2XiDRdP12yjkEyW+pWsdxGsgBAcK4IDYZhnrgn1reth6eI5VUV7O/zP Ly3NsZlDqywU+R1IODa35W03bte2/wB2tmfGWk+E9D0G4a40zRtP06dk8tpbS1SJipIO0lQDjIHH sK1ad418Kp8JfidceFv7Su7rR9TthqWiHUg7yL88guLRbhifO8rEbjcfMVJgDuC7qbW0YxgrRVke dWr1cRLnrTcn3bbf4hRRRVGAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFanw18WT/C3xRb3hu9UuvCjLdC60eKZ5Ut5LiWOV7uO PlnKtGcxL2llaNd5ZJcuigD7G0/ULXVrG2vbK5hvLK5jWaC4t3DxyxsAVdWHDKQQQRwQasV8sfDf 4kXXwvvnjkSa88K3MjSXVnEpeSykY5a4gUcsCSWkhHLEl0Hmblm+n9P1C11axtr2yuYbyyuY1mgu Ldw8csbAFXVhwykEEEcEGgCxRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfKnx40+PRvj8J4bOGJdd8 PxTSzxwujPNazuhZ22BJGKXES8OXURKGUKYyfquuB+LfwZ0b4xWOmQ6ld32lXemzSTWupaUYku4h JE8UiLI8b7VZWBO0A5RDnKigD5vrntS1C88BeOPD3xDsZbpINCEi6xa6c8cc97p7YaRNzgq6oV3+ W2M87Xjfaws+Hbu+ha+0LXGRfE+hzGx1SJQy7pFJCzqGRD5cygSo20Aq/HQ1sUAfY2n6ha6tY217 ZXMN5ZXMazQXFu4eOWNgCrqw4ZSCCCOCDVivz18dWvinRfhXNpGh+Kf7D0bw/e3XiHTPsFq0F7aM YZ/Mt454pUAiJnnx8hYB9u4qMV7r+yj4g0n4n+DfBk8PxI8ReI/EnhG2kl1m3aW4ihuJb0SFYrsS qftHk7WWNlfAMe7gECuR1pKt7Ll6X3XdJ6b6XPoY5XRllqzD2z+Jxa5JWT5ZSiub4W5cq0vdXu1Z M7n9qbT7W8+Eck1xbQzy2msaTNbySRhmhkOoW6F0J+62x3XI5w7DoTXhteufth2dvF8K7DxDdzQx 2vhvXLLUpUntzMro7m1bAByrILoyKwDfNGOOcjyOus+eCiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACu5+BPjC48N+ PbXwy9xs0HW47mS3t3BYR6guJdsWPuCSJbqRwfkLRAja8jeZw1dF8ItTtdC+M2j3moTraWl1pd3p cU0nCG6mntGijJ/hLiFwpOAW2rnc6BgD6sooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD5c/aE8 GzeF/itpfiuO71S9s/E6Ppl1FcTxPbWc0EQktUhQgOiMiXrNgsu9snG4Vyleo/tUfDLXPE8vhHxn oVq+r3HhF7x59Ft1/wBIu4LiNEkaE9GkjCbhH/HkgEMAG8a8NeKNK8YaWuo6PeJe2hdk3qCpVh1V lIBU9DggcEHoRQBqV8t/DX/hY3wO1PxPquibfDc1pBJBP4huLZXVol3sIYVnwjpNKkI3BGcFY8FQ zK/1JXhmrabrHxk+JGr/AA3jlW217VbtYdKjm1WaG2sYLaBrh3uIkhdJluFbcuD5kbwgEheG8bMa FGbp1q0muV6W3bfReb8vvW5+lcG5pmeGp43Lsvowmq8Lzc1eFONO7dSV9OWKb0kmm7Llk2ov6e1D xx468ZfsS+MNeuL3w94r1K5025ghv9IinghuLFQIbqaRJ1iImVVu3wqqpKptU52niNH1iy8QaXba jp1yl3ZXC74po+hH8wQcgg8ggg8iva/DPgTxL8Mv2R9R8L61qGnap4i0zQNShW5uJlms8bZjAjNd KqeUiGNCJAECrg/KK+fvh3awW3grSWt3MkV1D9t3fZ47cbpiZmxFGAka5kOEXhRgDOM16tN80E7N add/n5nwGLh7PEVIc0ZWk1ePwvXeOi917rRadEdFRRRWhyBRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFO0zT5Nb8aeDNKg ZUuLrXrOZGkJCBbWT7bICRk5MdrIF45YqDgEkNrc+EOjar4t+IXgzxFpGmTX3hfT764ln1yOWEWp zZXMO2PLh5fnlRSyKyg7gW3IwAB9ZUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXlXx5+LWo/De10HT fD9vaXPiTW7llh/tCKWS3t7aIBridxHjdjdHGql0y0ynOARXqtfEWvePl+LnxMXxhZ6JLYWP9mTa O01xJbTjNvfS+W0M8Mz7lkWRy4C7QYk2vIMNQB0XiD4pfFjXbixaDxnpnh6CFyZ00fQU3XCkrwWu ZZwpABwVA+8chuMcH8O/h7Y/DrQxYWr/AGmZsGa6eGNHkPoSqglQSxAYsRuIzjFdTRQAV5rYfDPV /A3xOuviD4Nv9Ni1zzfPtbXVLeV4Y3cqJyXWTJ8xDMpypwszbdrBHT0qiuWvhqWJSVRbO67p9z3c pzvHZLOpLBzsqkeWaaTjKN7uMk09Hs9nZtXs2Y2u+IPin8SvBuq+HvGfijToLXUL5pmOgwTwTRWz ABrZJFljVoipkTbNHNkNlixC7dmiirpUY0lpdvu3dnNjsxrZhJOooxim2oxioxV7Xskutl+fVhRR RW55YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFAFHXLOW+02WO3S3mnUrLHBeAtbTsjBxFOo5aFyuyRf4kZh3r7G8I+JbXxp 4T0XxBZRzRWWrWUN/BHcACRY5Y1dQwBIDYYZwSM9zXx1qlub9bDThNNbJqmo2WlyXFu+yWKO5uYo HeNv4XVZCVOCAwBIPSvszQdDsfC+hado2mQfZtN062jtLWHez+XFGoRF3MSThQBkkn1oAv0UUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAVQ17Vv7B0LUdT+x3eo/YraS5+x2EXm3E+xS3lxJkbnbGFXPJIFX6r6hp9rq1jc 2V7bQ3llcxtDPb3EYeOWNgQyMp4ZSCQQeCDQB8i+Av2ofHXh7SbfxL4wjtvFfhnULeTU7mLSrRLW 80pGiWVEiDShJ4Uwy4YiX5g258ba+wq+E9F0V/Dq6v4D1gQ3N74ck/sq4RkTbc22wG3mMYd8LLAy MVY/e3rj5TXpXhD9ofT/AIb/AAFj0C4vbGf4h+H7CPS9P0V4zAb1jK1tYSKskiiVGVYpJfKkOwb8 7SNtAHVftHfFTU9PaXwF4bi1Cx1u/t7a4utet5ooU0+ylllVzGx3OZ2FvIi7UG0yB94KivIdN0+3 0nT7WxtI/KtbWJYYo8k7UUAKMnk4AHWqWl2urza1rms+Ibuz1PW9TmgM2oWtqLdp0itYYVLpkhWz G7EKduXJAXO0atABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADtMtY9S8aeDLGe4Wyt5tes5Hv JMbI2hk+0RqckDMskEcC8j5p1xuOFb7Mr4d8TWtxqGlfYbGX7Nqd9cW9jYXO4p9nu5pkit5tw+ZN krxvuXLLtyoJAFfcVABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXyd4i+LXxGuPilr2oeH/FltaeFrLUJtPt9A1L Rop0ZoAbeZnkR0lwZ45XXEnTZnGSg+ote1yx8L6FqOs6nP8AZtN062ku7qbYz+XFGpd22qCThQTg An0r4r8J2t5aeGdLj1LcdUNuj3ryPvd7hhumd2ydztIWZmydxJOTnNADtH0eWxnvtQ1C+m1nX9Sk E+patcgCW6kxgcDhEUfKka/KigAdybc2m2lzeW13Nawy3Vru8id4wXi3DDbWIyuRwcdasUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFbUNPh1S3EMxmVVkjmR7eZ4ZEkjdXR1dCGVlZVI IIORXu3w1/aC8MTeCdMTxl4y0HSfE9uHtb6HUtSt7WeV4pGjFwYiV8sTKgmCgYCyjBIwT4lRQB9Q yfFzwLD9o8zxp4eT7PbRXk27VYB5UEnl+XK3z8I/mxbWPB8xMH5hnpdP1C11axtr2yuYbyyuY1mg uLdw8csbAFXVhwykEEEcEGvjFdNtI/K22sK+VK88eIwNkjbtzjjhjvfJ6nc3qa9K/Z38SXWl+O73 woHaTSb/AE+bVoIS2EtJopo1nKjB4mN0jEAhQ0TNgtK5oA+jKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyP9rDxF/wi37P /iu/Yv8AZSLa2vEjUM0lrNdQw3EYz0LRSSLnII3ZBBAI8B0fWLLxBpdtqOnXKXdlcLvimj6EfzBB yCDyCCDyK+0r3T7XUoVhu7aG6iWSOZY5ow6iSN1eNwD/ABK6qwPUFQRyK8A+Mn7Obrq15428ApeR 69cXMUmo+HIJIlstTDuFuJgkjIsdxtIfzN4DGLBUmRmOaUudtvSy089b/p9x1ynReHhCMLVFKTcr 7xajyq3SzUnfrzLsecUVW02+GpWMVwIZrZ2BElvcLslgkBIeKRf4XRgVZeoZSD0qzWhyBRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFTaN4q/4V34r0rxaW22mn74NT4znT5SvnnoT+ 7KRT/KC7fZ9gxvNQ0UAfZ1FeIfs0+LttjqHgq7k/e6X/AKVpe9uXsXY/u1yefIkJj2qoWOJ7Vepr 2+gAoqhrmv6Z4X0ufU9Z1G00nTYNvm3l9OsMMe5gq7nYgDLEAZPUgVg+Dfi14L+IVxNbeGvFOk63 dQ+aXtrO7R5lWOTy2fy87tm7GHxtYMpBIZSQDraK5LQ/i54F8UapBpmjeNPD2ralPu8qzsdVgmmk 2qWbaiuScKCTgdATXW0AFFFFABRRRQAUVQ1zX9M8L6XPqes6jaaTpsG3zby+nWGGPcwVdzsQBliA MnqQK87uP2nvhrHeXNvb+IZNW+zuEkuNG0y71C33FVbaJoInjY4ZcgMcZwcHigD1OivDZP2prdmj MPgTxJ5YbM3ny2KPswceWFuWDPu28MUG3edxYKj7K/tTfDhrh7ddT1YzxqrvEPDmpblViQrEfZ8g Eq2D32n0oA9Zoqvp+oWurWNte2VzDeWVzGs0FxbuHjljYAq6sOGUgggjgg0UAWKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAK80+N/iTXPA9n4Z8TabrVppmjWOt2dtr0Go7BbzWFz Mlu8hcruR4mkR1YOigBy+8ALXpdeLftkaBqnij9m/wAX6Zo2m3eralP9j8qzsYGmmk23kDNtRQSc KCTgcAE1yYtyjh5yjuk2vVan0HD9OlWzbC0K9uSc4xldJpRk+VvXTRNtPo9ehyH7U3hfQvDOu6F4 0sb2x0vxLqF5Bp19p8l4sL61asywh1iKkyzQPLC24YIj3qzY2gcTXz98MPiZLNp9tq/jKxv9QudF 0e2gsNTaxt0isdHin+yRtGfldwJ53jZkDscYOdrY910bWbLxDpdtqOnXKXdlcJvimj6EfzBByCDy CCDyKqjiIVoRknZySdutmY5nlOIyzEV6M4txpVJU3NJ8rlFtWvtdpXtvYuUUUV0nihRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAVLjTUm1LTdUhlmsdX0yRprHUbV9k1s5UqSp6MpBw yMGRhwysOK3f+E8+IP8A0UXWf/ADTP8A5ErNooAk1LVNd8RTW0niHxHf+IvsjM9ql5HbxJA7KVZw sEUalypKhmBKhmCkB3DZWueHdO8SWkltqNsLiCSNoZE3su+NiCUbaRldyo2DwGjjYfMikaNFAGJH 4N0m3k0ua1glsLzS4lgsr6xuZbe7gjCMgRZ42WTbtdgRuwdxzmtPbrELxS2njHxbZ3MMiSxzf8JB dzgMrBsGOaR43U4wVdGBBIIqxRQBneG9P1HwPfXd34X8T67oEt7JLPerHefbI7qaQoXmkjulmUyn YP3gAcgkEkGtqPxH4vhv5NRi8deIE1SZdkty00UkbrxwLV4zbRn5V+aOJW4PPzPurUUAQeItW8ba tA95D488QHxBbqGsbr7YLaBXQ70WS3gRIJELcNviYsrEEkBQPWrX9qG+js5UvvAl1/abZ8j+ztTh msuny+bLIIpU+bO7ZDJhcEbjlR5ZRQBX1S41vxpfQ6n4w1abWrxRHLHpxKjTrGZSzbreEKBuUuyr LJul2gAv1zYoooAKKKKAH+A/EPiv4UwXun+E9V0+HQLiTz4tJ1awkuorKQljJ9nKTxGNHJDGM5UN krt3EEplFAH2dRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWR4u8M2vjTwnrXh 6+kmistWsp7CeS3IEixyxsjFSQQGAY4yCM9jWvRSklJNM0p1J0ZxqQdmndPzR+fX7RniKD4V/BG5 +GHirwzqNx4t+xQ6RonjSTTrSOPUdMtryGVULxys0aoE2+USzECKRwrSkL4H+zX4outB8Z3FoIJp tLvokS7kjjLLbt5ipDI5CkhTJKsXJAzMuT0r9Y/Hi+Hv+EN1ibxZaWl74btbZ7u/hvrUXMPlRDzS zRFW3bdm4AAnKjHOK+BtSvfCvg34B+Oja2l9oviT4mapP4g0DStKs2N5Z6RaTtc2kk0AdUt4V8qY iSMt8kgdfMWMhfkMRhHQx1KtKraMV80l0873tff1Z/RWTZ/DNeFswyyjl7lWrSu7P3ZVJpNyS+xy KHtHFXinFfDF2XpNFT/s1/DDwt+0N8IYvFGq6vrS+LRqs3n3VhfSwppc0bDZDBCwMBQ27JkskhPn yAtnheX+HutXHiLwPompXcsM91cWqNLJA4dWfGGJwAA2QdygfK2V5xmvrKdSNWKnB3TP58xWFr4G vPDYmDhODs090zoaKKK0OQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooA+zqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKAKGv6HY+KNC1LRtTg+06bqNtJaXUO9k8yKRSjruUgjKkjIIIzxX5qfF74K+If2Z/ilHc 3eq/bfAviK2k8PR+KNTszfPYWc0H2Z43UYZZoYM7PLK70jwvy+ZEv6dVkeLPCekeOvDd/oGv6fDq mkX8flXFrMDtdc5BBHKsCAQwIKkAgggGvKx+AjjIJrScdn+j8j77hLiytw1iJxkufD1VacdL2/mj fRSXS+jtZ9Gsn4W/C3w98HfBtn4a8NWf2Wwg+eSRyGmuZSAGmlbA3O2BzgAABVAVVA+evjt4I8Ne AfiTaaloviB7XXfFWqCfUfDAntxCYvsdxuukgCCRS0sCFpN2GYtnJxjzP9mn4+f8KQ+MmufBzU72 0TwFZ63qlva6vrV75Utj5RfYDIxEWxjCfkCpmScsD/Cer+IXiXSviF+0Vrmt6XeWOoWWl6DZaZaX ul6lDeQ3Ucks00jt5efLdXBTYTnCbujri8BiaeIo/u1y8ujXZrocvFmS43JsxaxtR1Par2kZvecZ N+81d2fdNu3pZktFFFekfFhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFAH2dRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAflQviKLwD+1l478Z6loX/AAkfhvSPEmqQaxYo0bMba6luLZmMTffQebg5Gws0 aMymVc+4aFfeFNU1jxRd+BJIW8Gz6n5umx24dI4la3haZVifDQr55nIjKqAGyo2lc8j4h+F1ta/H 740aeboHUl1K31Sw1eOIxz2E1yHu0eJlbcrRtIgyrDd5YzjOB2XhXQ5PDmhwWM+oXOrXStJLcX12 xaW4mkdpJJGJJJJd2PJJ55JPJ8bLcLLDRk+bSTbt2d7PXtp/wT9K42z2lnVejH2VpUoRippu0qfK pRTi1pJOTd01dOzjoatFFFeyfmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB9nUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFAHwx+3xDqvwx+IXhD4haHbWwhvILixvNunBEknCrtNzcJhpS8e3ZG5wv2U lerYk8P+J7HxJDL9mdoru3by7vT7lfLurOQMytHNEfmRwysMH+6cZHNfZnizwnpHjrw3f6Br+nw6 ppF/H5VxazA7XXOQQRyrAgEMCCpAIIIBr5p/aO+FEPhH4pWXxUsZWEWtNb6Fq9qtpLKFZlYRXRkD kRgvFaQY2BcsCTlq5adOpTqzk5Xi7WXZ9fv0Z72Ox2ExWBwtKFHlr0+ZTmtpx09npsnFc0XpqrNt vbnqKKK6jwQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigD7OooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACvnn9u3xrY+Ef2f8AULXUNF/tq3165TSlT7U1v9mlMck0VxlVJfZJAjbOA3QnGQfoavzF/wCC inh2bSfjxHqM+u/2j/aumwzQ6a6ybtOiTMQUE5Qo7pK42nO5pNyjhn8jNcXUweGdWmtbpen+Z+i8 A8P4XiXO4YHGTtDlcrJP3rdLr4d73emltW0j1Pwb4ot/GfhfTdatl2R3cQcx5J8twSrpkgZ2sGXO OcZHFbNeAfsmw6muna9Ky50aSVFjZpvuzqMuFjx3Vky2R91R83O33+ujAYiWKw0K01Ztf1954/Fm T0chzvE5dh588IS0fWzV7Pzjez2u1eyTCiiiu8+SCiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+zqKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACvHv2k/wBpTSP2cvDen3d3p82s6vqcjR2GmxuYVkVCvmu8u1giqHXs SSygDG5l9hrkvGieC/CXm+P/ABNaaTZXGjWxH9v3dqjXFtEdw2JJtL/MZGUIvLGQgAlsHCvGrKm4 0Zcsn13t8j1crq4Ghi4VcxpOrSjduCfLzaaJy3ir2u0r2vbXVfGdv+2V41+Knwj1K3e/0HwZq0l4 8FxqWnTf6cbUiBVh0+x8555buRpZMSHy4lCf6xWy8eP8SfCPww+IXh3yNLl1/WfipquoJZ3V94su W/tHSbW1iiVppo7cCCVGijiRHYkyNc7vMLKwXX8F3AvmTUdbh0228Z6otzql1bwJsniiubqScoFf 94qK8mMEkBhjJPNdZXHTwNNxSxD9o132+7br6+Z9HiuKcVCrKWUQ+p05NtKm2pWbWjqaSa91KytH T4U7mN4R8I6Z4H0ODStKg8q2j5Zm5eVz1dz3Y4/QAAAADZoor0YxjCKjFWSPjq9erias69aTlOTb be7bd235thRRRVGAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFAH2dRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVQ 1zQdM8UaXPpms6daatps+3zbO+gWaGTawZdyMCDhgCMjqAav15L8bvjp/wAKp8TfDrw7bad9t1Lx hrcOnpNKcQ28AnhSdzg5L7ZlCDpklifl2vlVqwowc5uy/wA9D0MBgMRmeIjhcLHmm7v5RTk38km/ keX/ALXHwZ8C+AfgX4l8V+HPCek6J4h06+sdRtL6xtViaGYXEEPygDATYTmPGwsS5Xed1ea/DW51 q88D6XceIZUn1aVXeWWNomV1LsY2Bi+Qgps5WvrH9ofwnH44+BvjnR30+bVJZdJuJba0tw5kkuYk MsAUJ8zN5qRkKPvEYIIOD8FfsueKZtW8J3mjSBAmkuoi2xEErK0j5Zt53HduGAq4AHLZ48qU1SzJ J/bj8rp63Xe2z6bH31LDzx/BNSpBJvDV022ryUKkVGKjK/ux57uUbWk2pJppp+1UUUV7R+YhRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFAH2dRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8xeILLWNd/b38KS6 w02iaHougXMuhC4mEkGsTNGUuBCuQI5VFx86gM+y1ViNrKV+na+RP+Chvw98V694b8J+M/DKTMvh GS5ubuSykZbq1VzCyXCbedsZhJZgcrkNjaGZfKzK8aHtUm+RqVl1s/03+R97wSoVs1eBqTjT+sU6 lLnl9lzg0mtUryfua9JO1nZr6G+NXiyTwL8IfGev29/Dpd7YaTcy2l1MU2pc+WwgAD/KzGQoApB3 EgYOcV8AfsvahaXngu5ghsbK2urWXyp7iJwbi4yzurSKFBCgPtUlmztfpivq344f2p8YP2I9Q1Nv sltqWo+G7LXrhRuSFfLEN5MqD5iPlRwoJPJUE9TXx7+yXb3S6N4huHiQWUlxFHFKFTc0iqxdSR8x ADR4B4G445LVxVK0pZnRS+Fxf4/lsvyPqcHl9GjwNmcqjXtoV4Jq9vhsl25l707J3StzW0uve6KK K+iPxkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooA+zqKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvPP2hP BOsfEX4K+LvDugXk1nq99ZMLcwsFaZlYObcsWUBZQpiJJwBIc5GQfQ6KzqU1VhKnLZq33nZg8VUw OJpYulbmpyUldXV4u6uuquj5i+Hv7T/wd8P/AAE8B6T4l8VadKs2gQabd6a1rLdsGigSGeKeFI2K qTuA3gBxkruXmvm79n23PhVvE/hB5rXVZtNvzO+q6TdxXVhKjoixmOVWy24Izfd+XGG2t8tcPqq/ CHx78D9f1vTdD/4QHx74f+yqmnQ6y09vrPnSRo8kcdwzS/uwszbEPyBlLO+fl5z9m7xBcaP8RIrY XMMFhfRNDcLcTiMMf+WewFhuk37VAAJw7YHUj4ajmE5YvDqdmrWTjfZ6O9/NdlZX9T+qcz4PwtHh 7N6mFdSM3LmlCry/FB88eRwbTvCbStKXNJx2acT67ooor70/koKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+zqKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDwf4vfsY/Df4paFHa2ejWng3UrbzGttQ0C zht/mZcATRqoEqBgrYOG+XCuu5s/l9a/D3W5/HN34Qa2jh1+1muLWW1klUgTQBy8e8EqTmNlBztz jnHNfqh+118aL74HfBu71nSBt12+uY9N0+ZoVlSCVwzmRlJA+WOOQrww37MqVzX5UeBfCc3jnxZp +hwTpavduwM0gJCKql2OB1O1TgcZOOR1r4HOVRhjKUKEPfur20vtZdr/ANan9b+GtTMsTw5mFfNM R/svLJRc+aXLZNzlo1LlV07J3bT5XFq7+6tNnuLrT7Wa7tvsV1JErzW3mCTynIBZNw4bByMjrirF FFferRWP5LnJSk5JWT6Lp5a3f3thRRRTICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooA+zqKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigD49/4KZa7Y2/wn8LaNJPt1K71sXcMOxjvihglSRt2MDDTxDBOTu4zg4+ I/gX4ZufEnxG01rdbVxpzrfyrdM6gokiAldnJcFgQDxkc5HB2v2ofi3ffGj4uXuv3Nhd6VYC2gh0 uxvo1SaOz2eZEzYAz5nmNMOWwJQAzKFNbv7KOhXEniHV9ZDw/ZYbX7GyeYDLvd0cHZ1C4Q8nGTwM 4bH5tKpHMs2Tivdv+C6n9rUsJV4L8PakKs7VXBt9lKp9lW7J2vf4tU9j6Zooor9JP4pCiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP s6iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr4m/bc+Ouu+IrHV/AXw3T UdUstMjkPjLUdJs5Jo7SPBxbPOmQi4SUy8AYXYW4lSvtmvyZ8beOvsv7JPwy8OaDe/ZbS91LV/8A hIra2i8r7VdQywSQec20GTbFPERyV4jzzGu353OsQ6VB007Jpvz0cVZevNr5Jn7N4Y5RTx+Zxxco Kcqc4RSfwrmjVm5y3vyqk1FaXnKLclbXy7wz8NvEnizVFsbHSboEXDW01xNC6Q27ry4kfGFKjqvX oACSAfuW2torO3it7eJIIIkEccUahVRQMBQBwAB2rzv4L+O18WaO0Fz4hfxDq6qtxcEac1stqGVR 5JYKEYhg+DnLc4GBXpFVk+Co4Wk6lKXNzenTpo2vxOfxG4nzHPcdDCY2iqSoXsrTV+a3vP2kYStZ K14Lr3CiiivoD8hCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKAPs6iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAr8oP2kvgrrHwt+Jmo+AtFmh1Dw7dR3HivTbEY3WVssc7SrvlJZWWO3cNtc+aIYSwLKip+r9fm 5/wUG1C61n4zak2j3MwstH0Cx0zXGVzDGJJLmS4it23YEzMGilCLuOI2bH7pyvzOf04SwynLdP8A 4dfh+Fz9y8IsXiaWdzw1JrknC7urpNNKEn5pystVdy5bq5498IPjNqPg+3tdBSxtZdPa9W4nuhAz SRW+CZ2Ij5cqi7gxyVCEHIwF+nf+Ey0T/hF/+Ej/ALSh/sXyvO+2ZO3bnGMdd2fl243buMZ4r4Nt rmazuIri3leCeJw8csbFWRgchgRyCD3r1HVvjFr/AMRPBdn4RmX7XrN9frG9wqxxiePcpijI6BjI eWG0AIvXLGvCyvOHRpSp1ZXaXuq276K6/wAvnpY/U+OvDmnmmYUMXl9JQhOa9tJSS5Y/anyyVtEu klr9luTkt3T/ANqbVV8WSXN1YI3h+Z4wbEENNbqFwxjkAXcS3zYcHpgFetfSum3n9pafa3fkTWvn xLL5FymyWPcAdrr2YZwR2Ir5z+G/7PPijRfFmk6vqEun2cFncRzPGxE8jAKGIVdpXOSU3ZBUqWXO FJ+iNV1rT9Bt1uNSv7XToGfy1lupliUsQSFBYgZwDx7GvpMreM5Zyxjtrpf+r28j8V48jw46+Go8 NwUrQXM4tttrRJq3LzWV5SWrd2+7uUVn6R4j0nxB5v8AZeqWepeTjzPsdwkuzOcZ2k4zg9fQ1oV7 yaex+TyhKDtJWej+/VfetUFFFFMgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKAPs6iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAr8c/wBpD4ta78W/irr19qx1Gzsra9mhsdFvzIh0+Ndsewws7CKUiJDIF4LhvbH6zfEn4haR 8KfA+reK9eeZNL02MSSi3jMkjszBERV/vM7KoyQAWySBkj8XvF3ia68aeLNa8Q30cMV7q17Pfzx2 4IjWSWRnYKCSQoLHGSTjua+K4lrWhToqW+rX5H9O+CWWueIxeYzpXUUoRm+jeskvO1r9UrdzIor7 v/4J7fCf/hJvhz8Rf+Eq0D7X4Q8S/ZLSH7WuEu/JM/mFOQw2M6YkXGHU7W3Idvlv7U37Gt18F5rL UfCH9ueJ9AuI7ia53WBlbTI4UiJeeeMbdrFpGBKIAEP3sE18zLK66wscXFXT3XVa2+ae/wDVz9wo cdZXUz+vw9Vly1INKMr3jP3FJq6+GUXeLT6rfmfKc94H/aM0bwb4Ds9Ji8P3X22zUIkaXAMMxJBe RnPzIWZnbaFYDgZx05TXviNrHxw8S6XoN7c2ui6Tc3qLDEsRkEbksqMzY3M+H2/wqTgkLyR5dXt/ 7NHlXPxK1JbjydUmt7Bvs+oPvZkVGjiHl7sYUo2OVDBQANo3A9mHxmIx8qeDqTtG6VkrXXbS33LQ +czbhvJuE6WM4jwuHc66jKSlKTk4zbXvLn5le7u5SvLTRO7PXvg38Kn+F+nXqT3kN7dX3lPK0UTL sKg5TJYhlBY4O1Tyc54C+h0UV+k0aUKFNU6askfxNmOYYjNcVUxuLlzVJu7dkvLp/T3eoUUUVsec FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH2d RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXJfFjwD/wtL4c6/wCFP7Wu9D/t W2MH26yPzx8g4IyNyNja6ZG5GZcjORE3KMW4q77HRh4U6laEK0+SDaTla9lfV2WrstbLc+av+CjX jzRtP8A6f4Tn1jVodZ1D/S4dM02SAW0qpLGA16D+92Y80xhflaRCWyYwV/PLX9DvvC+u6lo2pwfZ tS065ktLqHer+XLGxR13KSDhgRkEg44rpvi18IPEvwT8WN4e8U2sNvetH9ogkt51ljuIPMdFlUg5 CsY2wHCtjqorrPAfir4V+B/h/YapqPhibxt8Qxe3JWx1F3g021jCwm3klVWP2lQ6H938gYSTq4ws TN+VY6tLHYmUqy9m136W+V2z+++F8vo8K5HQoZdJ4uM23eCXvOWqd+bljFJWbbettej+0fhp8SPE Gufse+Ho/gj4fh1DxNYxxaFdwzeTarp9ysIa4ugshEczMzK45OTOGcEq6V1vij4p6P8ACX4G6PpP x21qbUtf8QaTdJfWtvZFZLximZrVTbfu1ZFmSEPvQMRuyMkjyX9jvw54r8F/D/xB8VvHV9rlv4Zs 7K51PR/Dlndtb2rQ7ZZridbFSkKq2f3S/KnzM20Dy3r5I1fw3b6t4W0nVbaUeJfFYludZ8S3F1eA pslUSwW5fz8zS+XBcTSFAHXzyjHfGwX6R4uvToQnGN5OOz2sra8vVv12V9tD8Vjw9lWNzbE4evVU aFOum6kFeo6k1N8jrN2jCDSTfKlzyUW+a0zkNetrPxH441dPCGl3g0u5vbiTS9O2NLPHbb2aNCAW JZY8Z5boeT1r6p+Evwt1T4dRkXviF9Tga3CLYgSCG2ctuby8ybSCc8lAT1+XLA0v2edM0y4+Geh3 f9nwm+tpbnF1Ja7XDtIwZkcrzlAillJ+7tJ+XA9VrryjLKdKCxUndys10Suu3z/4Y+e8RON8XjsR UyOlBQp0XKnJySlOXLK1+Zq6TUVLSzd2m5LVlFFFfUn4OFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB9nUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAV8Tft9/tLax4NvtP8AAPg7WptK1Boxeave6fKEuIlJBhgWRH3RMQC7 jAJVosNtZgfof49fH7w18E/CepzX2t6db+JmspZNK0q43SyXE/lyGHdFH84iZ4ypc7VzxuBr8e9Q 1C61a+ub6+uZry9uZGmnuLhy8ksjElnZjyzEkkk8kmvkc+zH2NP6vSfvS3s9l/wfyP6I8KODf7Sx TznMKf7qn8ClHScnfXXRqPz963Y7T4vfEzxD8QtdjtdY8X3fjLTdD8yw0rULmIw+dbq2FmMZ5DyK qMzPmQ4UMx2ivf8A9ln9hq6+JljpvjHxxJNpfhmSRZrXSFQrcanBgnez5BhiY7cEAs67iuwFHPzF 4D8Fap8RvGWj+GdGi83UtUuUtosqzKmT80j7VYhEXLMwBwqse1fpl+1z8TPEv7P/AMBNCl8KT6dp uqNe2mkm4tNPVIIIxBI7fZ4HLrGuYQoVt4VGIHIDD5/LaFPEOpjMWnKMPnd9tXrbt95+u8a5pi8p hguG+H5wpVsQ2r2UeSPWXuxtHmd25KN1Z8qvqvWvjB4s8GeEvh/qsnj6/hsPDN/E2m3IkMm6dZlK GJBH+8Zipb7nIAZuApI/NLw38IYviF8QNe1i6hh8OaRfKNWtNL0+OKVEtb0TGOJGZQqeVjb/AKvq mV2/K1et6FBrvxN1eTxt441+DxNcX0MqWulW7LNpumpJhJY4BuZfuxqjFeuH3GQndXYf2baf2h9v +yw/b/K8j7V5Y83y87tm7GduecdM199isHSxbg6kb8rv+en6n8lZHxLj+HoYmngqrj7WLjpqk+aL 5knpdxTje10nfdK0ltbRWdvFb28SQQRII44o1CqigYCgDgADtUlFFehsfISk5Ntu7YUUUUCCiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+z qKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivD/2wPjNJ8G/g7fXek67Do3i69kii0dWiSaS VlmjMxWN1ZSoi35ZhgFlGQzLnCvWjh6Uqs9oq56mV5dXzfHUcvwy9+pJRW9lfq7Juy3bs7JNm9+0 H+0HoX7PPhO31bVrebUr2+ke3sdNtZI1kmkEbNubccrECEVnVWKmRPlOQK+H1/4KC/Fq68Wa7rem 2WnT6AkZkXRLixM1vp0JkjRJGmj2SFtzIpZ22FpeFGUC9L8C/wBkHXP2kP7R+I/xY1jVrWPWv39n 5DJHeXmcYnO9GWOHaAsaBRlcFdqKm/tP2kvCtqvw/wDC/wCzj8JotR1jX7ORdRvrCC5BWO0VZJGN 5KzKitJNLHKEOFzswF3RBvksTWx+Jh9Zi3Th9lL4pPp9+9tfR7n9D5Ll3CmS4lZNVpxxmJvatUlp SpQWs2m7pcmkeb3W29ZR+E+EfFnizWPHXiS/1/X7+bVNXv5PNuLqYjc7YwAAOFUAABQAFAAAAAFH hPwnrHjrxJYaBoGnzapq9/J5VvawgbnbGSSTwqgAksSAoBJIAJr3DVv2NtcX4N2fjTwzrdp481X7 SkGo6H4XCX/2HcCSPOikbzXXdCGREOPMJBKLuP0r/wAE9fgf4h+Hel+J/EvinQv7Hu9W8m1sI76E x30cUbSGYsrLujR2MeFJBbygxGAhPzmGyyviMTGnWTSlq3vp693t67n7NnXHGU5PktbGZdOE5Un7 OMPh95NK3LZPlive0VnFe67ak/7JP7GOu/A/4gX3inxXf6HqMqWTWunw6eskzRSOw3zb5I08tgil BtBLCVwSAMN5h+2H8NrH4gftPLZ2HiG4vL8aNHd6jY3EymKxVCEjghcbjGZNwkZGT5fNMg8zzNg+ qP2mPi5qPw18I2+m+Gg7eNdeY2+lN9kaeG1UPGs11LgYVI1lXBIb5nTKsu7Hzh4J8E23gyxnAnm1 LVb2Q3Oo6rdsXuL2cklndiSepbAyepJJJJP3n9n06cYYenD3E+Ztvqun9aW8z+T5cYYzFVcVnOMx H+01KboxjGNrRktZN2tFLXls3Jzd9IrXnvhT4V8V6DrHi6/8VX0N7c6vfC9Mlu/ySzPueaUIFUJu ZwOAPudMBSfRKKK9s/LgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooA+zqKKKACiiigAooooAKKKKACiiigAooooAKKK4r4nfG bwZ8G7Gyu/GOuw6NFeyNFbK0Uk0krKMsVjjVmKgYy2MAsoJBYZic404uc3ZLqzpw2Fr4yrHD4am5 zltGKbb9EtWWPil8UvD3wd8G3niXxLefZbCD5I40Aaa5lIJWGJcjc7YPGQAAWYhVYj83LzxP4t/a h+Ly+PrzSNDmhspY7PRfD+q6hb2kF9IkgMNjGZsfa2DzrJMvBZHKhojJCtetft9Xlr8XPh/4Q8ee FtY0PVvCOlSSWz3EOoj7U1xcrG/lGBlGGRIkJTcZR5hJjVUZqvfsH/s5awZtI+J3iuTUbNbCNo/D NlJONrW0qTiV3jZSViYzl49rLkl3IKspb5HFVauOx8MNFXpqz8n5vy6JdWf0TkGX5fwvwliM8rVO TGVFOnr8UHqlCK6TekpSesYvbRp/QH7O3g//AIUb8JdGsfGmoWlh4r17UpLnUJrzUfMa91K4clI9 7th5jGkalUzuZGI3ZLHiv2nv2Pbr41eLLPxD4a16Hw3e3scWna/HIhEd5aLIHWUiMAyyoUj+SQ7W EcXzJ5YzY/a4+A/i/wCNvjL4Xf8ACL3H9kQaTc3kt7ronCNp2427RyIoYO75ibaE/iC5ZB8w+la9 6pTWNdShXh7itZ99Lu3psfk2Dxk+GKeDzbKsUniKinzwsnyJS5YqSd0+a3Mk9VZO2zfJfC34W+Hv g74Ns/DXhqz+y2EHzySOQ01zKQA00rYG52wOcAAAKoCqoGt4u8TWvgvwnrXiG+jmlstJsp7+eO3A MjRxRs7BQSAWIU4yQM9xWvXlvx3/AGivCnwF8OXF3q13Dea4Yw1loEM6i6umYsEYryUiyjZlIwNp A3NhT1zdPDUt1GKX3f12Pn8PTxmdZgrxlWq1JXeusrvW76ecnot3ofDXxB+Pmm/tJa8+r2XhnxN4 b8Y2kFrAkmg6gLpZdNiknkuYycQ+W5MyMpIl3NFGgCbiW9h02z/s7T7W08+a68iJYvPuX3yybQBu du7HGSe5NfPPwRtdW1n4neINQt3t9BtvOa71G10OSCTT2Erh4baFAXCKv735lZiqjYChyT9HVw5X Xq4jDKVbWV3rtfXt5beqPqeO8qwGUZ1Ohlto0nGLUE5S5LxWjk735vjTTfuyW2wUUUV6x+ehRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQB9nUUUUAFFFFABRRRQAUUUUAFYPjrx1ofw18K3viPxHe/wBnaNZbPPufKeXZvdY1+VFZ jlnUcDv6VvVyXxY+HVj8Wvhzr/hHUH8qDVLYxLNhm8mUEPFLtVlLbJFR9uQG24PBNZ1edQk6fxWd r7X6HbgY4aWKpRxrapOUedx+JRuuZrfW17aPU8I1jwXfftEXnh/43+GNN1bwlrug21w2h2OoFY59 fiWESWglxMFt4WnedGGSZYXJ3qrqV8H+Dv7XnjX4Ta74osviFp+ravrt5cw3F2fFGtPYRaZEzKB5 Vmbd3XJuN7JCpJjVSsYWMk+peKv2yPHPwK8cS/D7xp4V07xVq8ckKWXiCG+/se3v7d1URzSCWNo1 Ytv8x1ZYlYOowELHmv8AgpN8XtMvLfRvhrax/adStbmLWb25SZStv+7ljjgKjJ3sshkO7bhTGRu3 /L8diqtOEJYmhVcakH7ytvJ6bbX06X0+8/pDI8Di8ViKOSZpgIVcJiY/upKpdwpQfPdSTU3G8lpN Qbk0rWSgu0/Zp/bZsPiJ8QNf8L+Jrya2bU9Wmm8M3V7HFCv2Z2xDYuIxhZQANrFm3liu7cED3/2q v2MdY+PPix/FWk+LobbUIrKGyttJ1O1At1VZGLYnjG5Vw7thkkO4kbgpAT86/Aeh+IfEnjLR9O8J wXc/iSa5Q2C2LlJllU7g6uCNm3buLkgKFLEgAmv1I/a5/aGh+B3w5u10jUbRfG195cOn2jGOWWBX LZuWhLA7FWOQK21l8zYCCMipwWKjj8FVWP1jDW+199PNr/I24myOtwnxNgp8JtQrYhcrhZSUbOKc mrNxhLq0tLSaa2Xy34t+Edx+xH8LR4jk1y0v/iZr1yum28UPkzWdnBHPFdefHDPCWmdGtYhvIUI0 64G5VZvNdO/bc+L1v4q0jW7/AMS/2x/ZvnbNOuIFgs5/MQofOjt/K83bwy7idrDI6nPi2ua/qfij VJ9T1nUrvV9Sn2+beX07zTSbVCrudiScKABk8AAVQr5erjpxklhm4QVrK/zu+7P3TAcL4epQlPPI wxOIm5c03TSsmuXlje7jFLRWav8AFuz6z/4b7+NXj7/iQ+HNF0mPWbv/AFDaFpU1zeDb87eXG8kq t8qtnKHC7jwRkfR37IeofHDSLGLRfiZ4c1G80O5jN1Y6/qF/A97alhv8m5RpfOZTnjcu+NjtYbce X+cfgXx5rfw/1C5utD1W+0iS8hFpdTabP9nuHg82ORkSUAmMlok+ZfQg5BIPv2m+OvFH7UGoahYe LfGGsSWFpbJb3Fpo7tbafdKhj8mUxbNhdnWaRvMAbJj2AKhVPuctwtapGGLrV5NtbdLdn3/D8D+V +Ns8yzBVsVw/l2V0qcIys5tPn5ltKLTXLbom5Jq917zR9zftHfHG3+BvgGTULdLe/wDFF+4tdE0e UsWvJyygkKgLMqBtzdM/Km5Wda/LOwXVfjD8TYL3xZqN/dX2uTieW78kvNcrv2HywBtVFCsM8JGk TAA7Ah+gvEXw/wDF/iS/8L6brOsaZ4q8H6BbGwsLLVLYQTWds4SN1QwKvmSCKJAsjt94ZwDzXR3H w7huPHmi+I2vX2aTZNawWxjDSOzBlLyTsS7jax+U9/mzy2dcxy+rjKsJN3gmtPnq38v8rd+Lgzi/ A8NYHE0lT5cRUjP95u7qP7uMdHZOW6aSXxOT0UdXw34N0Twj9s/sbTYdP+2S+dN5QPzN2HPRRk4U YUZOAMmtmiivfjFRXLFWR+RVa1SvUdWtJyk9W27t+rYUUUVRkFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH2dRRRQAUUUUAF FFFABRRRQAUUUUAcH8S/gV4C+MHkN4u8M2mrTwbRHdZeG4VV34Tzo2VymXc7N23JzjODXwxe/wDB OP4salMs134m8MXUqxxwrJNf3bsI40VI0BNv91UVVA6AKAOBX378TvE114L+G3izxDYxwy3uk6Td 38EdwCY2kihd1DAEEqSozgg47ivyo8TftffGLxZYx2l7481GCJJBKG0xIrCTcARgyW6IxXDH5ScZ wcZAx8jnTwFOUfrEG5PtZfe/y3P6I8MocV4yhW/sjEwjSg0mqnNK279yNmlf7Wsb6b2PqHS9V+GP 7A9nd6PZ3CePPitfPFHcbiLLy4JG3IjytvS1jChWKlmd2aNmATaY/mvxp4Z8YfF++8d+OvFSW1nq +yHUlljhP2aeEQtiO3kRyhRYkjAPzsSqZYEsSfA74a2PxSutZ8QeKJrzVJBdZbzJZM3MrhmkeWTG XbLK3yvuzksMMM/S1to1la6NFpKWyNpsduLVbaT94piC7dh3Z3DbxznPes8NgpZhRTmlGlryxT9V d9353+Wp153xNS4OzOpTw05V8e3D29aas9HGThTV7Rg0rcqhs1aXuo+ALi2mtZAk8TwuUWQLIpUl WUMrc9ipBB7gg1FX1v42/Zz0LxJZWcWlzvok9u/MzBroyJsVAjF33YURoFG7CjcAOeNHwj8B/DXh 210d7u2TUdY01/MTUV3wF2ErSIzIr4JXIGWzkKB0wB5H+ruKdVw0Ue9/6d/kkfo3/EYsghgIYhqc qr0cFGzWj967fLytpbSlJX2dmeYfBH4N6tcQ65eavaf2XHdWFzpkK3ts63EUkioPOVGUfLtZ1yGB PzDpmvcvA/w/0rwLZbLCBFu5YIIbu4jBQXDRJtD7MkKTlicdSxJJPNdLRX6BhqKw1GNFO/KrH8g5 1mks6zGvmM4KDqy5mlsrhRRRXSeIFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfZ1FFFABRRRQAUUUUAFFcH8a PjR4e+BPg0eJPEgu5LR7mO0ht7GESTTSsGYKoJVRhUdiWYDCkckgH5Ftv2rvip+0BNdQfDe7h8Oa /DIBY+FdP05L6eeAIpmuby9uVWCGJCNqbQGZ5QhX7rnzcTmFDDTVN6zfRb/15bvofbZLwfmeeYeW NppU8PF2dSbagn52UnZdZW5Y/aaR97UUUV6R8SFfmX+254V+H1n8YNK8MeA/Dkmna/CpfXodFsm8 vDxxNCsMAYJvWJXdhGqqfMGWLbtv6aV+ZuraLongH9rj4gp4lvVXW5tZabSUtxK8bfbS0oBwnDhJ o1O75QWbrgMPn84pqtCnRlZKUrNvp1083a34dT9e8OcVUy3EY3MqPPKdGk5Rpwv77bUE5LrCDlzP R2+L7Nn6f4V8M2Xg7w/ZaPpyutnaoVTzG3MxJLMxPqWJPGBzwAOK1aKK96MYwioxVkj8or16uJqz r1pOU5Ntt7tt3bfm2FFFFUYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfZ1FFFABRRRQAUUUUA eH/theCPEvxE+EJ0Hwt4U07xZqF1eoHhv5FiazjEcv8ApMLtLHtlV9gHJBDsCrKWFa37M3wR0z4I /DDS7CHTPsXiG+tobnW5pXWWaS6KAtGXXgpGzMqKvygZPJZmb1qiuP6rT+sfWXrK1umnofSPP8Z/ Y6ySNo0edzdua8n/AHtbNLorLWzd7IKKKK7D5sr6hqFrpNjc319cw2dlbRtNPcXDhI4o1BLOzHhV ABJJ4AFfGv7aHwps/iavhz4t+HLrS/FujWUMelXlmmonyr1HvBFCLeSIY3iW4lDM0gA2LwcMD5N+ 3R+0h4h8YeMtV+HNta3fh/w3o9z5V1bzqY5tSlUhllcf88fuvGvRgVkOSUCeP/s3adqHi74raD4M SGbVNB1+9hj1jRTfS21vd20W6R3k8uSPc0SCSVMk/MowGztPxmMzWhiMR9ScOaN0r9b36K2v6n9L cOcA5pk2UviWniVSrqEpKL+F03Bu0pqScW1qmn7umqfw/VPhrxRpXjDS11HR7xL20Lsm9QVKsOqs pAKnocEDgg9CK1Kr/Gux8K/Cv43xW1sH0Wwg8IaZAIoY5Hg8tLma2Sa5kCnlAttCJZW4DhcnIxYr 7M/mkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+zqKKKACiiigAooooAKKKKACvD/ANqD 9qDSP2e/DYiiEOqeMb+MnTtKZjtVckfaJ8HKxAg4HBcgquMOyH7UH7UGkfs9+GxFEIdU8Y38ZOna UzHaq5I+0T4OViBBwOC5BVcYdk+LPg34V1X4geJtT+I/jk3Op6zdTrLazX6lS7FQfOCFQuwKUWPb 8qhTgDauPFxWMnKr9Twr997vpFd/Xsj9OyHh3D4fAviPPYv6rF+5BaSrS6RXaF/il6pa7ecePr74 weOtPurvxdc+JtU04FtVkgv5Zfs0J3shdYSdkZG5sKqjahJACc1w3g3xJrvhLXk1Xw3dXNjq8MFw sdzZj97FG8LpKynGVIjZ/nGCv3gQQCPvWuI8IfB/w/4Pv31GIXWo6s1w1z/aOoTeZOGZGVhuAAII dycjknJztXHiYjh+Uq0J0qj8291bsfp2U+L1Cll2IoY/BQvtCEFaEk73Uk7pJKyb1utOU5H9nTUv EHhf9nn9oLSX8y0uBaafbRabqUU5VZLwzQOEhQFhNKhjVTjBYRbzsGR7Db262tvFChdkjUIpkdnY gDHLMSWPuSSe9crr3ww0fxH410zxPetdPe6eiLDCsgWElHZ0ZhjcSGbP3scDIIznrq+nwWH+qUI0 L3tf82fhnE+c/wCsGbVcz5FF1FG6WyahFP8AFMKKKK7j5YKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigD7OooooAKKKKACiiigAoor5x/aI0X47a38VfClr8MNfh0bQJLKWeeWeNPs9vcxb1ZrhjC+5Z EuI1SP58tGz7F8veOfEVvYQ51Fy20W+p7OU5as1xP1aVeFHST5ptqPupu10m7u2mn46HyZ/wUA8J +K7X47av4g1PT9Rbwzcx2kGl6hIGe1CiAboUflUbzEuG8vg8s+MNky/Cn9onT9c8rSfEKw6NcRxY ivZLhjBLtzwzSEsrbQOWZtxB5BIB/R7x9p/9seBfEdh/ZH/CQfatNuYP7J+0/Zvtu6Jl8jzc/u9+ du/+HdntX4j6hp91pN9c2N9bTWd7bSNDPb3EZSSKRSQyMp5VgQQQeQRXxePlVyfFe3oyuqjbaa/C /wA9Ox/TXCdLL/EjIP7JzGlyTwkYxhOMtdrc3Lff3feumpX0aa939BLa5ivLeK4t5UnglQSRyxsG V1IyGBHBBHepK8e+C3xiXxlJp/hy20NLA2NkTM4uWMaRRrGieWCpYks2NrNwBncx4r2GvscLiaeK pKpTd189/mfzZnmS4vIMbLBYyHLJapNxb5buzfK2le39KwUUUV1nz4UUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQB9nUUUUAFFFFABRRRQAUUUUAFcz4m+GPg7xpfR33iHwnoeu3scYhS41PTYb iRYwSQgZ1JCgsxx0yx9a6aiplGM1aSub0a9XDz56M3F902n+B4v8bf2VPBXxf8L6lZ2+kaT4b8Q3 dyt2viG00xPtCy790jPsKGXepcEOxGWDclRXgV5oOofBXWNM8D+KbmwGLNBo+qQGSOLUY1kaIJh1 CrOqiEtErv8A65SDivuWsHx34L0z4jeDdY8M6zF5um6pbPbS4VSyZHyyJuVgHRsMrEHDKp7UowjC /KrDrYitiHF1puVlZXbdl2V9lq9D5Poqp/whfxU8Hedp3iHwTdeIprS0a4GseGZYp4LxYwpkIjdo 3WT51Aj27pGEhjUhaTR9YsvEGl22o6dcpd2Vwu+KaPoR/MEHIIPIIIPIqznLlFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAfZ1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfPPxg/ZP0jV9J8Sa3 4Kk1XRvFlyt9qAtbXVZ1tdRvplJ3SIZVCvu+4VZEViC6yIuwlFAGb4N/ZX1HxV4c07UPiJr+qaVr 7QSh9J8L3v2W1tvMQhd7jc0syEhs7/L3KFCuu4yeU+ENakvI9Q0jULu2uPEWg3cul6qLdyV8+GRo zIMqvySFCw+UDkjqpwUUAdBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/Z Laboratorio de Sistemas de Información - Labsis Instituto de Investigaciones Marinas y Costeras "José Benito Vives de Andreis" - INVEMAR Programa de Investigación para la Gestión Marino y Costera - GEZ Calle 25 No. 2 -55, Playa Salguero Rodadero, Santa Marta D. T. C. H. Magdalena 470005 webmaster@invemar.org.co CO (0057) + (5) + 4328600 (0057) + (5) + 4328694 Lunes a Viernes; 7:00 a.m - 11:30 a.m y de 1:00 p.m. - 5:00 p.m. Establecer previo contacto telefónico y/o a través de correo electrónico, para realizar la solicitud o programar una cita en el horario de atención Laboratorio de Sistemas de Información - Labsis Laboratorio de Sistemas de Información - Labsis Laboratorio de Sistemas de Información - Labsis Instituto de Investigaciones Marinas y Costeras "José Benito Vives de Andreis" - INVEMAR Programa de Investigación para la Gestión Marino y Costera - GEZ Calle 25 No. 2 -55, Playa Salguero Rodadero, Santa Marta D. T. C. H. Magdalena 470005 webmaster@invemar.org.co CO (0057) + (5) + 4328600 (0057) + (5) + 4328694 Lunes a Viernes; 7:00 a.m - 11:30 a.m y de 1:00 p.m. - 5:00 p.m. Establecer previo contacto telefónico y/o a través de correo electrónico, para realizar la solicitud o programar una cita en el horario de atención Laboratorio de Sistemas de Información - Labsis Laboratorio de Sistemas de Información - Labsis Fondo Somero Para la elaboración de la capa de FondMovGranoFinoCarbo se realizó lo siguiente: 1. Revisión de información existente. 2. Selección de información relevante para el caso de estudio. 3. Alistamiento y simplificación de atributos de la información "Capa vectorial del proyecto PLANECO 2007 realizado por el CIOH" 100000