Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM.(ed.) 1997 Peligros Geomorfológicos Escala 1:1,000,000 vector digital data México D.F. INE INE.peligeom http://infoteca.semarnat.gob.mx/Metadata/browse_graphics/peligeom.jpg El mapa muestra los peligros geomorfológicos divididos en cuatro grandes grupos, corrimientos de tierras, abarrancamientos, acumulaciones eólicas e inundaciones. La información es a nivel nacional escala 1 a 1,000,000. Identificar los terrenos con probabilidades de que ocurra un peligro geomorfológico dentro del territorio nacional. Esta cobertura forma parte del Mapa de la Zonificación de Peligros Geomorfológicos de México escala 1 a 1,000,000. Este proyecto fue realizado para el Instituto Nacional de Ecología por medio del Programa Universitario del Medio Ambiente (PUMA). La elaboración corrió a cargo del Dr. Mario Arturo Ortiz Pérez del Instituto de Geografía UNAM. es 19960000 De acuerdo a las condiciones del terreno Complete None planned -117.248 -086.709 +32.720 +14.537 1058637.730000 4083321.420000 319848.600000 2349799.630000 Peligros geomorfológicos Abarrancamientos Deslizamientos Desprendimientos Flujo de detritos Inundaciones Mapa Environment Peligros Geomorfología Acumulación Eolica Corrimiento de tierras Inundación en llanura de desborde Inundación de cuencas Abarrancamiento Inundación en llanuras lacustres México República Mexicana Ninguno El INE autoriza la utilización de la cobertura siempre que se cite la fuente bibliográfica original mailing and physical address
Av. Periférico Sur # 5000, Piso 2, Col. Insurgentes Cuicuilco.
México D.F. Coyoacán 04530 México 01 (55) 54-24-64-26 9:00 a 18:00 Días Hábiles Instituto Nacional de Ecología, SEMARNAT 01 (55) 56-28-08-53 Instituto de Geografía UNAM Dr. Mario Arturo Ortiz. ArcInfo 8.1 y ArcView SDE Feature Class http://infoteca.semarnat.gob.mx/Metadata/browse_graphics/peligeom.jpg JPEG Para la clasificación del tipo de peligros se tomo en cuenta su origen, así como la estructura y morfología refiriéndose estas a los patrones y geoformas donde se generan o desencadenan. Otros aspectos que se analizan son los factores y mecanismos que condicionan los procesos, estos se dividen en estáticos y dinámicos, los primeros representan las características de orden indirecto como el rasgo litológico, la magnitud de las pendientes, los tipos de suelos y el grado de cobertura vegetal. los factores dinámicos representan a los factores del clima. Dirección General de Geografía - INEGI(ed.) 19830000 Unknown Mapa Topográfico Escala 1:1,000,000 map Aguascalientes, Ags., México Instituto Nacional de Geografía Estadística e Informática http://www.inegi.gob.mx 1000000 Papel 19820000 De acuerdo a las condiciones del terreno INEGI Sirvieron de base para el trazado de los peligros geomorfológicos 1) El proceso inicia con la clasificación y ubicación de los diversos peligros 2) Se traza el mapa con los polígonos correspondientes a sobre la Carta Topográfica escala 1,000,000 de INEGI 4) El INE digitalizo las cartas originales y transformo a formato e00 del software ArcInfo. 5) De la cobertura digitalizada se preseleccionaron los siguientes elementos, CLV DESCRIPCION 1010 corrimiento de tierras. desprendimientos 1011 corrimientos de tierras. deslizamientos 1012 corrimiento de tierras. flujo de detritos 1013 abarrancamientos. formación de barrancos 1014 acumulación eólica. formación de dunas 2030 inundaciones en cuencas. régimen pluviometrico de verano 2031 inundaciones en cuencas. régimen intermedio cualquiera de los dos anteriores 2040 inundaciones en llanuras lacustres y.. régimen invernal 2041 inundaciones en llanuras lacustres y.. régimen invernal 2042 inundaciones en llanuras lacustres y.. régimen de verano 2043 inundaciones en llanuras lacustres y.. régimen intermedio 2050 inundaciones en llanuras de desborde. régimen intermedio 2051 inundaciones en llanuras de desborde. régimen de verano cualquiera de los dos anteriores 6) Con estas entidades geográficas se dio origen a la cobertura de de Peligros Geomorfológicos PELIGEOM 7) Se realizaron las siguientes modificaciones a la base de datos original PAIS-ID (MODIFICADO) LIMITE_NUM (CREADO) LIMITE_LEY (CREADO) GPOFEN_NUM (CREADO) GPOFEN_LEY (CREADO) CLV TIPFEN_NUM DESCRIPCION TIPFEN_LEY 8) Se editó la cartografía resultante en Arcview y Arcinfo. 19960000 Dr. Mario Arturo Ortíz Pérez Instituto de Geografía, UNAM Investigador. Titular A, T. C. mailing and physical address
Universidad Nacional Autónoma de México, Circuito de la Investigación Científica, Ciudad Universitaria.
Distrito Federal Coyoacán 04510 México 56-22-43-41 9:00 a 18:00 hrs Días Hábiles Vector Simple FALSE 0 TRUE FALSE coordinate pair 1 1 Meters ITRF92 Geodetic Reference System 80 6378137 298.257222 ITRF92 Conica Conforme de Lambert Explicit elevation coordinate included with horizontal coordinates 1.000000 OBJECTID OBJECTID OID 4 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. PELIGEOM_ PELIGEOM_ Double 8 0 0 Identificador interno Arcinfo Valor numérico PELIGEOM_ID PELIGEOM_ID Double 8 0 0 Identificador interno Arcinfo Valor numérico LIMITE_NUM LIMITE_NUM SmallInteger 2 0 0 Número que identifica las islas Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM 99 Isla LIMITE_LEY LIMITE_LEY String 15 0 0 Polígonos de Islas Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM Isla GPOFEN_NUM GPOFEN_NUM Integer 4 0 0 1 Corrimiento de tierras 2 Abarrantamiento Campo numérico que identifica el grupo del fenómeno al cual pertenecen los peligros geomorfológicos Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM 3 Acumulación eólica GPOFEN_LEY GPOFEN_LEY String 33 0 0 Corrimiento de tierras Abarrancamiento Acumulación eólica Inundación en cuenca Inundación en llanura de desborde Inundación en llanura lacustre Inundación en llanura costera Sin fenómeno Identifica el grupo del fenómeno al cual pertenecen los peligros geomorfológicos Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM TIPFEN_NUM TIPFEN_NUM Double 8 0 0 1 Desprendimiento 2 Deslizamiento 3 Flujo de detritos 4 Formación de barrancos 5 Formación de dunas 6 Régimen intermedio 7 Régimen de verano 8 Régimen mixto 9 Régimen invernal 10 Sin información Campo numérico que identifica al tipo del fenómeno al cual pertenecen los peligros geomorfológicos Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM TIPFEN_LEY TIPFEN_LEY String 22 0 0 Regimen intermedio Flujo de dentritos Formación de dunas Desprendiemiento Tipo de fenómeno INE Desplazamiento SHAPE Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. PELIGEOM Peligros geomorfológicos Instituto Nacional de Ecología, SEMARNAT - Instituto de Geografía, UNAM Feature Class 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. ESRI Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. Instituto Nacional de Ecología, SEMARNAT mailing and physical address
Av. Periférico Sur # 5000, Piso 2, Col. Insurgentes Cuicuilco.
México D.F. Coyoacán 04530 México 01 (55) 54-24-64-26 9:00 a 18:00 Días Hábiles El INE tiene esta información en formatos e00 (ArcInfo) y shp (ArcView). Downloadable Data 20030803 SEMARNAT mailing and physical address
Blvd. Adolfo Ruiz Cortines #4209, Jardines en la Montaña.
Tlalpan México, D.F. 14210 México 01 (55) 56-28-06-00 ext 12378 01 (55) 56-28-08-53 9:00 a 18:00 Días Hábiles FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 es local time 20241101 09421600 FALSE 20130910 17203800 20130910 17203800 CopyFeatures "Database Connections\Connection to oracle.sde\INE.INE\INE.peligeom" "Database Connections\Connection to oracle.sde\INE.INE_1\INE.INE_peligeom" INE 100000 0 0 FeatureClassToFeatureClass "Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom" C:\Semarnatg\FILEGDB\capas.gdb\INE peligeom # "PELIGEOM_ "PELIGEOM_" true true false 8 Double 8 38 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,PELIGEOM_,-1,-1;PELIGEOM_ID "PELIGEOM_ID" true true false 8 Double 8 38 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,PELIGEOM_ID,-1,-1;LIMITE_NUM "LIMITE_NUM" true true false 2 Short 0 4 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,LIMITE_NUM,-1,-1;LIMITE_LEY "LIMITE_LEY" true true false 15 Text 0 0 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,LIMITE_LEY,-1,-1;GPOFEN_NUM "GPOFEN_NUM" true true false 4 Long 0 10 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,GPOFEN_NUM,-1,-1;GPOFEN_LEY "GPOFEN_LEY" true true false 33 Text 0 0 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,GPOFEN_LEY,-1,-1;TIPFEN_NUM "TIPFEN_NUM" true true false 8 Double 8 38 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,TIPFEN_NUM,-1,-1;TIPFEN_LEY "TIPFEN_LEY" true true false 22 Text 0 0 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,TIPFEN_LEY,-1,-1;SHAPE_AREA "SHAPE.AREA" false false true 0 Double 0 0 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,SHAPE.AREA,-1,-1;SHAPE_LEN "SHAPE.LEN" false false true 0 Double 0 0 ,First,#,Conexiones de base de datos\GISSERVER.sde\INE.INE\INE.peligeom,SHAPE.LEN,-1,-1" # CopyFeatures C:\Semarnatg\FILEGDB\capas.gdb\INE\peligeom C:\Semarnatg\FILEGDB_rmayo2011_nuevo\capas.gdb\INE\peligeom # 0 0 0 FeatureClassToFeatureClass G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom C:\Semarnatg\INE\DATOS_INE.gdb peligeom # "PELIGEOM_ "PELIGEOM_" true true false 8 Double 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,PELIGEOM_,-1,-1;PELIGEOM_ID "PELIGEOM_ID" true true false 8 Double 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,PELIGEOM_ID,-1,-1;LIMITE_NUM "LIMITE_NUM" true true false 2 Short 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,LIMITE_NUM,-1,-1;LIMITE_LEY "LIMITE_LEY" true true false 15 Text 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,LIMITE_LEY,-1,-1;GPOFEN_NUM "GPOFEN_NUM" true true false 4 Long 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,GPOFEN_NUM,-1,-1;GPOFEN_LEY "GPOFEN_LEY" true true false 33 Text 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,GPOFEN_LEY,-1,-1;TIPFEN_NUM "TIPFEN_NUM" true true false 8 Double 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,TIPFEN_NUM,-1,-1;TIPFEN_LEY "TIPFEN_LEY" true true false 22 Text 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,TIPFEN_LEY,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,G:\respaldo_Semarnatg\FILEGDB\capas.gdb\INE\peligeom,Shape_Area,-1,-1" # CopyMultiple "C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\vp1mn2 FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\AGRO6_IND FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\apm4mg FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Arroyo FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Canal FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Cenote FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\cuencas_hidrograficas FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Cuerpos_de_agua FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\degradacion_nal_GEN FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\edafologia_SII FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\edafSII_Disolve FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\EMS2015_Rios_Principales FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Estanque FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Estero FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\hundim FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\irdef_20181 RasterDataset;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\manglares_gen2 FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Marina FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Marisma FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\mex_RE_2015_17_clases RasterDataset;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Pantano FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\peligeom FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Posible_deforestacion FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Precipitación_media_anual FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\rhp4mg FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Río FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\rtp1mg FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\spm1mgw FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\spt1mgw FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\T2016_Cuencas_Hidrológicas FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Temperatura_media_anual FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Unidades_climaticas FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\USO_CAP_PRESAS_PRINC FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\USVS6_IND FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Vaso_de_la_presa FeatureClass;C:\Users\edgar.mejia\Documents\ArcGIS\Packages\Peninsula_Informacion_ambiental_1a7308\p20\geomatica.gdb\Vaso_del_bordo FeatureClass" "C:\Users\edgar.mejia\Documents\ArcGIS\Projects\Península de Yucatán\Informacion_ambiental.gdb" vp1mn2;AGRO6_IND;apm4mg;Arroyo;Canal;Cenote;cuencas_hidrograficas;Cuerpos_de_agua;degradacion_nal_GEN;edafologia_SII;edafSII_Disolve;EMS2015_Rios_Principales;Estanque;Estero;hundim;irdef_20181;manglares_gen2;Marina;Marisma;mex_RE_2015_17_clases;Pantano;peligeom;Posible_deforestacion;Precipitación_media_anual;rhp4mg;Río;rtp1mg;spm1mgw;spt1mgw;T2016_Cuencas_Hidrológicas;Temperatura_media_anual;Unidades_climaticas;USO_CAP_PRESAS_PRINC;USVS6_IND;Vaso_de_la_presa;Vaso_del_bordo "vp1mn2 FeatureClass vp1mn2 #;AGRO6_IND FeatureClass AGRO6_IND #;apm4mg FeatureClass apm4mg #;Arroyo FeatureClass Arroyo #;Canal FeatureClass Canal #;Cenote FeatureClass Cenote #;cuencas_hidrograficas FeatureClass cuencas_hidrograficas #;Cuerpos_de_agua FeatureClass Cuerpos_de_agua #;degradacion_nal_GEN FeatureClass degradacion_nal_GEN #;edafologia_SII FeatureClass edafologia_SII #;edafSII_Disolve FeatureClass edafSII_Disolve #;EMS2015_Rios_Principales FeatureClass EMS2015_Rios_Principales #;Estanque FeatureClass Estanque #;Estero FeatureClass Estero #;hundim FeatureClass hundim #;irdef_20181 RasterDataset irdef_20181 #;manglares_gen2 FeatureClass manglares_gen2 #;Marina FeatureClass Marina #;Marisma FeatureClass Marisma #;mex_RE_2015_17_clases RasterDataset mex_RE_2015_17_clases #;Pantano FeatureClass Pantano #;peligeom FeatureClass peligeom #;Posible_deforestacion FeatureClass Posible_deforestacion #;Precipitación_media_anual FeatureClass Precipitación_media_anual #;rhp4mg FeatureClass rhp4mg #;Río FeatureClass Río #;rtp1mg FeatureClass rtp1mg #;spm1mgw FeatureClass spm1mgw #;spt1mgw FeatureClass spt1mgw #;T2016_Cuencas_Hidrológicas FeatureClass T2016_Cuencas_Hidrológicas #;Temperatura_media_anual FeatureClass Temperatura_media_anual #;Unidades_climaticas FeatureClass Unidades_climaticas #;USO_CAP_PRESAS_PRINC FeatureClass USO_CAP_PRESAS_PRINC #;USVS6_IND FeatureClass USVS6_IND #;Vaso_de_la_presa FeatureClass Vaso_de_la_presa #;Vaso_del_bordo FeatureClass Vaso_del_bordo #" CopyMultiple "C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\degradacion_nal_GEN FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\Disponibilidad_cuencas_2023 FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\edafologia_SII FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\edafSII_Disolve FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\hundim FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\irdef_20181 RasterDataset;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\manglares_2020 FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\peligeom FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\Posible_deforestacion FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\Temperatura_media_anual FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\Precipitación_media_anual FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\Unidades_climaticas FeatureClass;C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental.gdb\vp1mn2 FeatureClass" C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb degradacion_nal_GEN;Disponibilidad_cuencas_2023;edafologia_SII;edafSII_Disolve;hundim;irdef_20181;manglares_2020;peligeom;Posible_deforestacion;Temperatura_media_anual;Precipitación_media_anual;Unidades_climaticas;vp1mn2 "degradacion_nal_GEN FeatureClass degradacion_nal_GEN #;Disponibilidad_cuencas_2023 FeatureClass Disponibilidad_cuencas_2023 #;edafologia_SII FeatureClass edafologia_SII #;edafSII_Disolve FeatureClass edafSII_Disolve #;hundim FeatureClass hundim #;irdef_20181 RasterDataset irdef_20181 #;manglares_2020 FeatureClass manglares_2020 #;peligeom FeatureClass peligeom #;Posible_deforestacion FeatureClass Posible_deforestacion #;Temperatura_media_anual FeatureClass Temperatura_media_anual #;Precipitación_media_anual FeatureClass Precipitación_media_anual #;Unidades_climaticas FeatureClass Unidades_climaticas #;vp1mn2 FeatureClass vp1mn2 #" UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>peligeom</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>LIMITE_LEY</field_name><field_alias>Límite</field_alias><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>GPOFEN_LEY</field_name><field_alias>Fenomeno</field_alias><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>TIPFEN_LEY</field_name><field_alias>Tipo</field_alias><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> peligeom 002 file://\\410-M-D3-73QJX\Nueva_base\Paquetes\0\commondata\rio_tula.gdb Local Area Network Projected ITRF92 Conica Conforme de Lambert <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/10.1'><WKT>PROJCS[&quot;Conica Conforme de Lambert&quot;,GEOGCS[&quot;ITRF92&quot;,DATUM[&quot;D_GRS_1980&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,2500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-102.0],PARAMETER[&quot;Standard_Parallel_1&quot;,17.5],PARAMETER[&quot;Standard_Parallel_2&quot;,29.5],PARAMETER[&quot;Scale_Factor&quot;,1.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,12.0],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-37031599.990000002</XOrigin><YOrigin>-25743799.990000002</YOrigin><XYScale>6400</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.02</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> Linear Unit: Meter (1.000000) Published 1.0 20130910 Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.3143 Peligros geomorfológicos 1058637.73 4083321.42 2349799.63 319848.6 1 -117.261777 -85.248128 33.210283 14.139756 1 002 Geomorfología ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset 002 Server=bdg; Service=esri_sde; Database=sde; User=INE; Version=SDE.DEFAULT ArcSDE Connection SDE Feature Class File Geodatabase Feature Class Conica Conforme de Lambert 0 iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvQd4HOZ55/mb3isGHYPeQTQC7A3sEimRVKckS5ZrYjubbMp5 L5fL3bPry+1d6p2y3thxHFsuki2rUpTEKvbeSRAASfTeMYPpfZ/vG0Er525t50lsUzFePfMMBM4M pnzvvO3//7/qVCqV4mdYMjmPUqkB1ITDCXR6PbEoqFWQUoIyBQolhMLzGPRmEnElKiVEouK2KaLR JGq1GqVS+bHHTCL+rPidQqH4WX9+0Rbt12rqn3cDpdL80c86nRIFSRSqOKiEh6TwByJYLDoMeh2Q IBaPotLrUarixOIJtFrjR/dPJBLyIpxCoxFOt2iL9gl3EBEmgsEoShXo9eLmCTQqEXSioEhK5xAW T6RQqxSkiBGLKVCpFSgVWuLxuHQIES1UKpW8LNqi/dtxEBk5tKjELVOQSorAoUQpUqNUgngqRjQC KqUWtUGFQW8SSRTxaIp4QklSEZXR4v8vlYpGo2i12l/G61q0RfvVOIhwAOkZpA+yQqFEERe5l/AD JWqdqEc06ZukIB6PodaAWqMjpQCFRv9TtYe4iJpE2KJzLNon3kFUSgWIC3G8Xg82mx1E+SBqe1l3 +/B5wWx0opCOEcMzN4rdXohCqcfr9WIymT5yikVbtE+S/dxTGwqJVCnM2Ggf588eYsWKJYSD02g1 SUJhH/NhuHJhAIe1mJKyXOyuKKPjPcTCJiZHYcOm7WRlZeF0OmUd8vFulqhPFh1n0T7RDqLTazAo NExpIBydxV2oQ6kxYNCKgx5nymMnHoHhAR9nzl6leXkua9e3YNDk8fqPz+ByuXA4HD9Vdyy0fRed Y9E++SlW0g8KM2WFDXQXDnLwyBke3b2CmZluMjKKyLRDKj7FxOQMmzY+xujkAAGPi47Ba5RVaJma fZ+ZWRsaVS6lpctQK7UkErJ8IZEMoUa0jlXSYRYiipiRiKLe7/djNlv/h89NtIz/eV2xJCkS/HS7 QNz/v0e1j1skEkKnM/wzHn/R/q3ZL1YYpJDDQREN5npTBIIRMjLKifimSSggP99NKJzFvn37MFjU NDeX4HDYUCtTlFY4CQSVXLt8jZGRIWy2QhoaW4nHQKsxyLlKOByWjhEMBjGZLIRCIcxms3QOUdQL Ew6zMNMUP4vLL+IcsVhM3m4htRPOKB5HOJd4bIUyhlqtkb8TtxXXonmgVCjR6Rbrpt90+/knQHSo kqDRQUvrcoZHrjA4MEdVWQ46S7a8icMxTyIxQm1tDePTw1y/fp3BwQ727NqJSn5fe9Hp5+Q3+JzH y9++uJ+HdzxNcXGVfAZ6fbrTZbXa5bVwDtFO9vmCWG3/fdC44CQLEeYXMY0mHSGEQ6Sn9yK9E503 VTp4KGIfPbZOqyVFCoV8zj8TYLBovyH2cx0kHIqiUqrQaMVNlaQwE/Jr+PY/vsq2zWspKs0kmYBT p05hMmVSVJZHQUEB1dWF+H0hzp3rY9WqFZSXJfD6/PT1DFNcrOXll/+arZt3obflUVhYiM3qkClW OBxFrdLKoaTVapQH++OQlIXoseAoHy/6f5alnSrtrh8/+9FoeoipVKYj1QLwJplUygijS89BF+03 1H6ug+j1FpGXEIlFmZ2dJivTTd2SUsSXvsmsk2mR0WiltrYalcrC6nUreP217/LMM4/zg5e+R2FB Ncl4D5XVeZQVF5OXl8fJY6f5X/633+bcmbO8f+AyqaSCmpo6HnxwB2azkWg0jt8fxmzWy8O7AFFZ KOwXnOQXiSLxuMB9pWsVpWxXp50gFhPDHNCK9rOYeaaUElOWvoFob4vrxan/b7r9XAcRJUA8ISbe CnKys3DYrVy6cAyTIcH3X/4+y5dXsmbtHrKyndy82cu5c+KbWEVJ8RKaGlZSVbWR02eP4g+OsnKV gxOnzuHOzweCuIsyyOlPYTZZGRnt46/+6s/Jycln546HyczMlodbrU47hbgspEn/HICjuJ+ITOn6 RTy3JOLuWu1CqPjwKiU6B2mnSSUFzkwto410lEX7jbWfD1ZUQCwRJxKJoNMa0IjROUpq6qppaP4t JibuMjY6yNj4MGVlxZhtNpQkuXn9NvVLlpNXUk1lbQ1vvPVjXnzxVR58YD3jY0NcV/Rz9PD7LF2x h9GRMVkLVFaVMDg4wtf/64sU5BexY8dDWCwWdDqdLJwXivKFwv0XSq9SaScR94nFIwSDPoKhedQa hXxsZcqKQhlHoxaPmXaQuJiNYkCpSL/WRfvNtV9gUAhGk5GYPDxJlCota9et4/Ll12lozCAnJxul ys3evcW8/MP3mJyZYX5ujkRUwWdf+C0SagFvhD179vLonqfw+z04bP3k5TkZ7J/l7t0OEokUs7Me WX/Eokny83OZmp7g777xt6xetV6mZcXFxdhsNvmc/jkRRPiSSJ2ELymUKuZ9s9y5287E5CiJRIzZ mQDODAv5BRnyWjx2NCKAl2ZMRjtV5cv+Ze/wov3bdhCDwB6KXD1lJZEUyXlEftvHlHrU2gqUdBMN j3G7w0OGq4obnddoWlaC3ZwJKpsYVqSLaZGrKBSYTBkYTFHOXehiZtaMLh6nrLyQbvVtGhpr6Onr ZqC/i8aGpfT2DOGbTNA5fY1jR35MU1MrK1q3YzCZiIZiaM1JYgmNTMPEbEWYCDLC0fR6gR0T0HyI x5SoBMBSo2V69C6FeQGa6xx456fRO9y4HCa0SiPe6WFsrjJI6Dlw4AKhiJqKkmXSuWIx8RqSqFQK goF5jKaF+chiFf8b7SAitVKrtRKTlf5PTTiWIBZV0t51j4bqCFq9inhyjkDIT2N9JbHICF2Dk6xq DGGx//SgTXxDi4iQm5sr5w6XL35AZ2cHM7M+Ojr68fuD5LtLmZ6dJZqIMDj9Nksa3DzwWCt2Yxb7 9v8VtTUteDzTRGKz9HQnqK2txWhMt4NFKiVqDgHPF4NGhdJMXnYp83NhHHY1CmVUplcZWRlkZIkJ vxOPdwytTYPNVUFwfpbLlztYvWY9wYiSi1eOUV21BL3WiEZjkjWL0WgnFgqi0akWMzB+06EmOoFM FG0eGQDkXfQaB0ub1jE6NoDP14HF4sDj6WfZigeJx4Xj9JOTlc27777Po0889P9hDopaQvy/qCuG RP2h1KDROhkfD6LV6Ugl1QRDs6xd18ryFjtDE7exG8XZHKV2iQPP3G1aW1by3uGLaDVqXBn5FBdl EYsHuXz5KnNzczQ3N9NQV0QKG//p//grIoEkf/gHX6GppY5wpF+mWlaLnR/+4A02rF/DpfPnqKkq k100o9nMxUunaG5pIaXw8tL3D/CZ538Pvd4kB5yieaA3GkmJQeMv+QNatPvcQdJdo3QuHwiEsVj0 AsOO2ZDF3HQ3laVVwDSrVrfS3zPD1St3qKwuoPP2CHmumvQf+SdIXhE5REdKmEKtobd/REap4sIi 7nV3kJllY/WaZQwNd5Mih5lxJWa9Gr8vSmnhMqYMc9y5M0TbmqdQqibQ60QeOIlaHaa4RC+bBVmZ Rvz+HnwRHVXVDhQJAx0dZ1m9pg69Tkdn5z2am9YQj+oI+AS5y0EgpKbzbidbt23lg2P7GRzukvXL Fz6/h3/45t/w5ONfIie3lGg0XfwrfsEZzKL9m27zJj+cIaQn3qJb6veFUamU9PWOY9RBfaMTl1PN hdPX0Sjg+tWbjI8EcZoiP8X5WICKCALVAuVWTLYzMjKIxiL4gzOoVBEM+iTz3jGCvkneePV9Nm3a xpVz1zlz5gz/+9e+xsvf/6Z0qF0PP0JRmagBBHRkXjpeptOJWuMgEQtx7Mgx8koKyMzQUlJUxdBg L2+89UPq6kspKipiZnaMutpaZmY92O057Nt3iNZljYyOjVBXX0umy0o8EUOrSvLQQ6s5cvR1dj38 HFZ7jnzugUBEzoIW7TcZrCigJsIU4mCnf5RRBKhf0khgfgAwkUj62L5tDVp9If/4rb/lyX/3NEcP 3/0I97QQMUQ0WWjXin9rbVnG3a5OVq5sQKUKcnj8AqUlLWRl2gj5RmhsqidFmKzsDJavaOT1177B b33lccZGx8nIUspumUorqLw2WUALKnDA55FT/Yd37iWunkGtsDMz46N4/UqUypWMTnRhdzhQYkVd BQcPHSMQTFJUWs2sN8zg0BRlZZko0RMOzhJKhiguycZduJ4f/+gfaFq6kSV1qxYJX78B9vMZhXEx WFMQDgdlBBFwdYMhXXjXLaliqE/H0eOvsHxlJkRCaJQK2jbVU1Bsw2gNpP/Ih4O+f2rCaYoLS1i9 uhWFYganI8Fzz22mqrKE0LyH2soiDh18ly0bH2V8ZJK+3l5e+NzD6A1h8guskpMSCYsHChEK+3E6 BJbLjEKpkBASrc5ENDDKyHQfRcX1kk8/Pz+QhttjYs4zjcORQ1aOkVVrdvA3f/Mt/uiPvsr3Xvo7 SEYwG/SEAzGGh3tZ2urCFxpk2epC+vrauXrtJs9/6ku/jM9k0T5ZjMI0BEN0iRSK1Iff0klCoYh0 lLGJGRqbGjDrJ1AI/EnCQ2mZC5jAZAt9VJyLaLEg97OAxJUDvGiM2upyJmf8LKnNJZEYI+DrxWTN J1+nZe8TX+TwgYsk4yYKcmsxmgqAGZKJAB+cOCcL802b10vOic/vwWLWYjTZ6Wy/x6GDx/m933+S u53XceeWcvP2TQymJFVVtXj905jNDqZn79A30EHbhj24iwr56n/4E1a01hMMJDAYHRiMFqLRCH2D 1ykpLMFU5sLrH2dwYJq33trHnj27fhWf06Ldrw6ygE9KH3TReUqnVwtRpDDXin/Kg8teStDXjtHi JBwFvbaAi5fvEph/k0ce3S1nFQITJSOJENRKQSQQRmXW4nDl4/OM4Z8LYXbYMFk+dMJYBL35Lg/u LgKFk8HBdmCUcNxPJGpGq3GTn1nIqy+/y97n1mE2ixxQOGEAjcHDV/5wC6Ggkq0PNjLnu4VW7cJu KCMeidJ5q5+i/EwOHr5EXcUuUokZnn2yBWPcxN07lyl9sIihvgncJREKClbwn7/2//KFLxejUs9x 50oHZdmNZGcbpYpFMBjAaLQQiUbk1F+wToS+SygWQqcUaaqJgD+OyaQmpRAT+wTBYAK9UY8imSTg 82OxWn8KRBkJxtAZNGnE8aL92uxfTHjIKSzh5e+9Rb57JUZLBaHQKAaDi+nZQR7d08bpU/2yGLaa xMxBiVqlJBQMk0rEMFpMxKSzqOntH8bjDVBVZcJs05KMz2OQZKmQ/DupuE8W8ymi6NVW5uMBQhEP jswcKmty0Ki1JESrLSng+TrGR8KUl7lRG234QsM4LC4U+XZOnzzG9p0trFy1mtd/fJitW7fSfn2S y5cHWLaiFkeGjp01W1jSnEXAJ06smampfj7/5W145gfJzWyipnwLHxx/lx2PVHLmpJplK1bJ5yic Qz5XGSXT4hRBefhNsh0tzO/zYbYYMRr1H3bCwGIzk0ym5ZHEJZlIoDMLzxDOtNgp+0Q7SCKpYPfj z3P2/AEaG/KwO8uZmRmUs4lI2Evr8jJee+07bN28h8qKJfJQGEQqptLKibTOZJfiDjqdjbm5aXS6 PFloJxIRlPLZaUChI5mMYjKZudV5mZqaGuwOE80tFWRkJFGLlrPHg0GXyfDAHPOeCDOTCWYmQ5iM BrTaDHnYzLY4WXlKfP5JrFYrGm1cdtHqG8vpGTzNjZtXCYQTLMlrZmZugN7uCWpqSzGZrUxMThEM huVMR29MUVufx5L6Qt56bUrObhJCS08tajZIKhIo1QpUCiUWq02+ZtHg8HqD2OwmUsQlgjkcUhCO zWO32wmEgphNRslHCcdDGFRpZ1MsTup/rfYvp8wJMTiNlQ1tT/L2m99h1aoasnIqCYb6cTk13Grv ZOWKCt564wd89T/8X8TDcO3mNRqbqyVcQ/S2UihpaFxFb28CjV60UMfR6FKQnAelaBPHUQiNU9RM jHkoLUlh0uvJyjQTjo5I7sadjmFKihx4ZkMMDQ3hLsplamqGc3fbeeiRNbImSuCldUU5AX+I+fl5 lq9cwp2OXlavacXsrJXswtJiCxark3AkgsPpI5zsxqhYzntvdbD3U5sxmBPobUPU2LLx+UOEI0HC YZ88yCq1FplBCnkX4oRjQUwaUcOk0GoU2CT5K4SCKLFImiZgVKT5+iZjmlosKMHxpOBZpnOrxQzr 12v/KpxStdYg0+eNW/YS8A1x8sRpVq0qR6ONsLGtkTdeP0hGhpFvf+uv2b37WWZmJ7lyJUDr8qXy QMUSYHdkkZlZTE9fH0VFWtRKFYlECJXSSCjgQ6PRo0SDw5YHCXHQUozP3CMnw01YFUGjCtPXO0JR kZtoYpZIbAaLys7E5BCRUBSdwYxKPS9bxhaBE8NAODLB+nWbCUYHsFgE/ddOPOmTUkZqpQWn047T ksHEaFAqs4gpe4p5SssKJSReofLTuryIef8kWZlF6TdDck0SaDRpmL5UFNMqZGRRKiNcuHAIjSZG b28f9TXNWKwleP0BGdH0BhMOpwuTwUIshsSRLcLtP+EOInlFKfAFo5gsTvRGLePTo3R1TVHfUEU8 3sOG9c309k6xZtVOXnzxRfLc1fQPzOMuLCW/QC8PU0JQbAMKTp85z6df2IJaEUelEehdJWpx2LQm Ce0I+JT0dk+Rka1jYnqEmbEgybgejdpAZ+dV1rQ1UFCylNOnj1BVvUGyHcUAUWdQIf5ToGVuJoTR qCClCnPrZhd5JRHpQMGggJ+IJoSeRFSL0yF+1pGZmeCxvctQqrz0dE8T8DhoaC2TUSmemqZvYDyN NE6JWsMg0ckajQK1QksylSQaiWPQa7l0+RTuQguZmTqam/NQoOHEsVMMDY1gtWVid+RQXdNMdq5b ioJ/yO9atE90BImHUKp1KFUKIjGRSphpamjjzNn3GRwKk5+rwJSfjTPDSko1TVNrEdnZ5bz91kkG +sYpKBCFt45ECtpv32VqOijGKYgUXC1ovqkYGtk5SxEMxBkd9hANazHbdOTlFpLpcKHASCyiJKmc JhYfR6NWMzPt5fL5m7SuzGPeEyUSVqOTCF87fT2DBII9rGnLZf87h/j3f7wZtcpKIi4wJEkCfj8/ +eEFHFlBsjPLqK9vxGQTb5WYrSi5fq+HSDTI6PRpZrw69IYMvF4fVRUrKSqs/FDDWETGCDqVhkg0 gEGfor/vNuWVtWh0HpRoiSeCbNxSxNCglpGROXy+AXr74kRjAXJzy1DJVG3RPtkOIqRJUxpMeg0h 0USSR0xDTe0qzpz6AKctjNmqQaWJoVREsDs13O68yu///u/z3junSaQi6fxdBe0ddykoyGPeLw4W KJM+FBotClWKoH+GWNSGWmUky+XGbNJhdwoBbb+MCgpVgpbWZvyhAZQqK9u27OLCmX4CkVGmptWU lQtcWIRQyE80rEGnNQsFYdav3yDRvRDG4cgnlurGZC6grKQeR7aPkbE7nDujkKjm7btKcbuNuPcu 49LZESzaVh58rpJE0sirrxyBlAW9zoYzI1umjgKFECeJzWohlvBT31DJna6rNDTl4fdPk+UsIhXv TzMrcwwEQ3pGR0QNdVu20Z0ZOaiUi1CWT7SDKNRWycUQHRzjRx1JJUa9mW3bdnPive+yfU81GtUE 0cQ40VCYwb5Z/vGlV/nsFz4luz/JRIwrV87gzsnEO+Hj+gUfO/fUkqKfUDJC2KfjTucsiuQcK9a7 cTqjGA0Cei8OT5BozPdhp0pD0KfGbLCiNQZoXePg0om7VFTlkYxPS11hvUbD8pWikxQjFQ0zMtPL ndvZFLj9OBxRNAoLqdQsSd0o+97r4tMvbODihRsS6q5WlTEy0sPJE0fk0LKjY5JND2zkzbd+SHaG lm1bKvjxT75F+61xvvpHfyHrHIMFwokw3/n2N2jb2MzK5Q/yox/9Vx5/4kH59ivUmQQCUxj0amx2 oZYvxC3UXL3yHhvaHieODdWHusihcACjfuFNNqQJkIvKRL9U+xe/vfFEmjcuSErCBBRFFLMGIfYA VNeuprurj/IaA1qVhenJPox6DeOjfYwOjRMNh6moKEx3ngqKqCw107Ksir998T/x6FOrKcjO5Nrt 8xQVllOQJ1rAAluSHrb5fROodEkMWjdT414uXrzMxs0rZe9HQGPMZjuty+tQacIo1RoScR8qQRmO izasjrnZCfzeCfT6XByOXOKhEdQGHcl4hA0bVlNVVUFOTiakOlGkjJw6cZbqmnKqq2vJzCik/dZd 3tv/Pdatb8HlysHr7+Ghh9dQWDjEiy/+MctXbKauvojhkV42ttVw/bqIMiXs3fsInvlR7FYLQZ8T k8kFyiDxmBe1phijTsvylTm89Mr/yWc/9efM++axWqwY9SYiUT86rSatjK9aVMa/7x3E45mVHRjx gYmLK8NJKBTDYFDK9mZRxVJOnOgit9iEUhHCZrOiUkyjwMP01A3qalfR13eHtrY2crLcBHwJTBYV mzc9xp3btynIzmVsZJSmpmo8871YrSbi0TBarVMO3ASpSjhER/sA507fpramgZIKmxy8ReMe9AYz s55ZDCZVeoUDSqamJmRNJBDFW7e24M7PJh7yoTbk4J3qx5aZRTw2SE6OBZ9vlge37eQv//ybGI0m hgYGsTv1NDbU4vX1UlTYjEEnvhx8xKKT2MwWCvKETNI45aUqAvPXcdrilJeXk5vXiN0ioPkxbFax mEiJzhQnFrWjUWajVgracT96gwtl3EqmtQKPd0p27kSzQQwVRRQUJmA/izPET4CDCJG3QCDApUuX yMrKkQ6iSp9EaaLN2Ts4yoaN5TIdWr2mBZ26ixX6Svyhu1y4EKahvhm7LYt5T1BqYfnnwxQXNjA0 NCpk6di961E0mjjoVfh8U1gs2Xhmx7A7s1CrUiRiCbKzCli5YgO327spKLJhMTvTIgxqO1nZ4vmk dzYE5ue5dfMuLpeTxpZWzJY40YBPygyFJmbIzxdRKo5aoyaRGsViKWZyYoLiklzsdgdOl4GGplKU 6jD/8598Ed/cCCaTjlR8HqfNRjIxg9vt5Ktf/TK+uVksNieC3hgND2G3iFlHkNHxEfJyKmSa95NX LvPUM6uIJ3tIxZUM9qQYGhzAG5xl+Zpazp06xo6dTxEOpolmOoNoccekIJ4Q11vcYHe/p1jxKLFY hP7+fvktOTs3K5XcBepDFL9Cg9fr8xKMB9EqA4yPDNGyslEWzNGEiXf3jeJ0boGUqCdE0Q1mq16i dNet3c2R91/GYo9SXZ+B2PJmsZQSCfqxO93ysCkxcvXGDfp7/Oh1FgwmHRqtkXhyjJu3rpAIZLFs deOHaZkFtSqGUe+gp3uYutpGJqbayckuwmA0cetWNyMjM1TVFGBzWghLvkcQgzHKrj3r6Ozooq6+ ALMZAqE+EokkVkcRnplRhgb7qW9ukUuF7nZ0UFldi8VhJ+ydQm/QoJUppxiLGsjLqZLCFp0d3ex4 soDvvPRdPvvCV4FZ8t39FJXaOHM6wZs/uENJhZXJ8W6ysquJBsVrUEhIjRDzCwtktezMLdp9HEGs cv/HY489IlMenVYn25QCexQIBhge9jIzM4VBbeBrX/uPfOmLv8dAbzdKrQAB2nE5HQwPDFHgrsZq 08qo4S7KQaPTotXp2bLtGa7dPIh3Lk7KZkSVstLdM05dvZNQZBa1OkaBO5u62lamp2axObQEg+MY jVqWNq7lv/z1y9TUlqFQhTGZRUpjZdmyZVy4GGfOM4PFZkGls6JRKcktLON2exdFpSb0ITUmcyVz ng4cdhH9oKExH4NJHPI4JoOYgBuJRHxYbBmUV9m429HD7MwMxcWFCJxMPDDDvF+F3iYaCEGCgWn5 hWK1mbE6cmlYYuH06ds0LRWszDuy0xELOTlzrIe+wT6+8OXHpU7x5Qsn2PpAGVqDhkg4LkGMElew uHPll27/Kj2QuTmvBOSdOPEBGq2CublZ6htq6O3t5viROxQVFXL44Ek2t+2m6/YoBqONQ8ffZdej m/F4IOiPpNG9wRTuoiwJxwhF4xj1NkiayXBVcuDwyyxvWc6B/T9h3bo1HD16kc2blxBLzGOx6tAZ khgtUcxWkYKopAKLmMI/8+xTmO0OUslpgoKxqAihM2bLNMli1+P1Bentv0MwquPq1W6s5kyOnbxF SUE+yXiMVRvK8M1PSfiJwWTG6x3AoLfz+qtHeXT3C+isMcYmJ8nJyqe4rCydhmWI5x1FbdLy6ncP 8Owze9Dp4xhN6dcWmB/GZM3EYFJSXJFLRUEjf/F//xlf+uKnsGdrqaiLsG334xIxIHBfWdk6AiKV cxSjkxKwQuMr9qFG2aLd1w4iZEJFSiW+VRsal3Dw0H5WrmyVkjqzcxNYdDZmJifIzHCwcf0mDh88 z7EPzrH3018gGJumr/sGTUs2kwyDzijmEQn8oRlMhgyZFAnBw4wMNytWbOXU8QsYTUXcvDHAXOA2 ZbVWinOzUenF/QI4nEbmA31YTVkyBRE74JzZNuLRKdnJSkv1CPTwBCaLgAV6sFnyMFsU3OwcwGix MjUzT6Y9n9sd44wOjFBWBVk5xRJdHInNY7MJwW4zSxvb+M633uHJL9VisOi53XmTcDAmefXiAAuB OlEfjU958IYj5FhFKhQiEp/DZDVAwicBmxdPTRJv6uGxx3dx/cYlGhurKSmtlOlWSjVMOJiisaWB Q/s/oK56A/mlZUQiMQmpF6XeIlbrPncQIV+bEtyNcAyzIZfnn/0dDh15hdpGO2XVubwxO8zISIKR Ifj+904wOd1HbpEBlXaSwlwtn/3Coxw5cgBX9pMoYwaSMZG+ZBMTElxyxyEo4gYa6jZRkr9O7mx/ 7bXvk1CWce2ij3itmbt3u9ix8wESyQm58EdYIioOjwa006jVWSQiAdCOy2WjKFxy5YLRJAhbIVRa GzXF+SjCCW7ODhKLBCgqr2ZiJswHR2+x86F8zJYs3t13hfz8KlTKGNOeaZ76/AMk/B4uX7lBWVkV vQP06yd1AAAgAElEQVSdXL14gM994RmMOiPh6AS1BSvBn0KbHZXIXb1GkMlMpFTzxJNeGmttdNy4 QUFeGV2dXiy2WcqrXOgNAg2sJ6JJkOI2mx7Ss+/Nb7Aj54/Q67IJicaZbnEQct87iFqlJpmKSzqu MqUgEk6wYd02rrbvp6k5j89+sZE//8u/xuZy0lBfhd5Qz8BgFwcPnuTxJx7m0MGfUF7aQG/fLaJR Jc0tKyS6V8AsPJ4AGl0Sk0F8+8aw2jWSyZiZbaTR3cS58+8yPRIkEo0y3B+goDhH7hsJBMcxGUVU CxKLREhGNehkByndYhX4KqUiRSThJxpQcvn4GTZu20NTcyOnTl0iu9qNShXF6xsnP78Mi83FgQNv oNWncBdmcf7cFda2reG1116nIEcoMFpxu93yMjY+SCwWJhDyYrUYyHGDw5Wiu7eD4mIRXXSyThHI AZs9h7qGuHxMgSdTaauJx0N4PUFiUb1siesVdi6fP015aSGPPvICxw8fYUl9G66cfIJh0XBYnBT+ Mu1f5d2Vm2sl7FRwwRNYrA4C8yqmx+OY7Xdp29zAuTM3OXpsFIPezO49D3Px0nmSMQs6Q5SzF95j 167nGOwYBlp5992DFBZWUVcv4CExFESIJWNolXqJxo3GvLiySvnUc09w76ZX8tGv3biO15dFXX0F BoNc/EE8MYdGZyUcTcumJlNBiRzWqUUDQAuqODqrmpZlrfT3dVBYVMpnP/804xM+2tu7+fRzu6ip ziUUmJCFtJhFhMMzkqhlMhkwGsysXLkSR0a+hNwIZ8zPz5Z1kVBhFG9vTYMVm8PAwaPXKC2plk56 8cIJHtixg9HRTvLy7BjMAsOWSWtmq+zkjY12Ewom0WvV7H//DOOj40R9NszLfSi109zofJc1zsfQ S/TAot3/cHcZRZKyjy844UFflLrqVbKgHZkYpKS4lls3J8hw5nGnq4cfv/oO+QXl9PSO8cjuh0mk QqgUdu7c6eS/fP1v+J2v/KlECAcDKfQmFdFYEp1GRBGlPJRKpZYf/+h19u59gJYVIlI4OXthkLvd t6Scj9mcJ8laOoHzYBSUInII7SstOrWO9ptdtN+6B5o59j7xiBwY2h1Wzp07gc8fZtu2h7h96zIj o+1k2hX0Dd7AXeJkzjtDYWGtlErdt+8tKioq8Hg8UgRbIIbPnTvDhra1DA30U1lRwYxniNzcUjze cZ58/POyeTA9OSpTO8G81OpSXLxyGpImykvhwoULbN3WRm6ei5kZDy+99G2y8xppW7eeUDDI+EQf rSsKuXZT8O33s3PbpxeVT+93BwlH4hh1Qhs3RiKeQK3SEYsqyM0pw6DTUO1cyje++S08c5DpcDI1 cZMdO7fKYl7MTpa37pDo22BskO3b2rh35y1OnzzD2nVrMJoUhCIKDDqRHiUlYtZmtbF+7QPMz3u4 fXOEO/f6WNpST+uKOs6fucGZc6epra5Db4iRaRD3U0kVxGjETyjmx2Y2Mz0zj8tVQNuWHfR236S0 ohYCUyxb1szNmzeJRObYtWsHZ8+e5Oy5U9idarIzq8jJLGJsclq+1gJ3DsUlBbz9+ks8/fTTUrNr zdpVvPfefrZtbyORjJNhzyfgD9N9Z5LysgysNguurCzWZ60Wu7YwGDJwZWynt2cYZ4ab8rI51God scQMdoeBz3xuL6fOX0FjnGVkfIDq+hq0+igrlzfyw5faZZq2aPe5g4jDLfG7UkonhdC3ttk1sm1r d+QRCsJvf/F/4sCBoyQSccrK6jh37hq1dU2SRqtWGQhH5zBo1Xjmh1i/bhV+v5K5OR9mqwqd1vgR 5ksnOSHgsLt47lNflriuK1cuceLIEHt2tbGkQcHJD86Rm29FrQ6SpIdo3IBeLfa0R7DpRJvVSMft u1htuUzNeOWcIRb2yuemVitobRX8chW9vTdZvXqNJLuICBCNJ1ESIxRIsbR5GZOzE4yO97J5y0b0 Bi0lpYVotRqJ0xodmaZEKk4mOXPquEQJvPTdH/Hsc4/hyjITjIzR19eHO78UqyWH0rIsokGhAKPh 7t1OKisF10Qlabtr1ywlGo5gNLqwWEQaa2Tel8Tv9zE948GVnV5bt2j3qYOIbzEJWFSlQYteTwCb 1UQwEMVoVKIT6FMFbN22iTfeeIMvfekr/Omf/gljIx6JJ0pE1Oj1Ipf2Sqbha6+fJdPZyPkLp/md f/8ZUBiJxsJoNSo0Bo2EXCRiKUxWJTZrFtu37OXA4R/j8QcxGgTUPB+1WjAGJ4kkDBjUDqKRIKNj ExQUG1ERRaXV0draitlswFZegkZvQSOK3VSCVEJoeSnJy8pkeqwfR5YTu92FP+Dlvf2HycwswTOT 4PKNU+x99iGsepHiJSQ4Ugw2CwuLmBifoqvjHl6vV6Zc01M+fvd3/x0KTZwUE3J+MdDjI9PqwqCb Y242yOFDJ2lpacZscTA+Oo/XE+benWGWrqgnJ9eBxWQmEp5Ho3YSD2loa1uF2jgu+S2Ldl/zQRZ+ SC+1EaIEAlFhNGvFSUap8ssDJ3BETzyxW+bqX/van/Hmm2/T3zfImVOXWbu5jlgiKCfQjY0BOm55 yHNnc/3aRVpat4q+lISy+8XaAX0GSr2C2RkvTpdR/i2NLk7nneto1Sp6u6cZ7T1BIDTLxi3NuEuC 9PTOMD4+Tl5RrWwdL+xpP3DgAA9ua2Zw6A6F7nJQhOVKOZ83wPSUhyXNIpr4OHvuKIXuGpbUtdDV OUooOMXDD+/EqjcQjXqkAJ5IFwWqwOnIlFExGAigSOnRGbScv3CMtWvbiCU8kg9jNjpZvWIn+9+8 QkbhXR7c/ik2b1kvNYYHBga4d7efZUu3MD87xamjd9iwpZKcbCTf/vvf+Qdal20nq8DJvve+zfNP CVj9ot2/EUQhooj6px9qITdWi5mE5qNOlzhIC5q8mzdvZGxsjDf2vU3feDtPP7UUFQEee7yOSOgd +oZGqUoUMDLcS05WEQr0mE3CCUMkUgmcLptkHoo15ps3PUtHR4+ULs3IOsuKFRVcvHyG85fOoFAu Y3paLA8dZ+PGxwl6/WxetYXbN7oxK0o5cew6m7aIJTk+AuE5TJZsTJYMudrB7R3i4oUQrauXc/Sd ITT6APGIAp2hBKNxGshGqU1w8uAEVmsZGq2DMyen2bClAlveLCZVOlUqrnWRmatBiUi7EsyHOzDa 7VTWWbjbo5PDVodLx93uG+QUZjE2FWU20E79Mjv3eqYIR/2klJlk5zaRTHRw6tQ9MvL02LIMXL14 jqampaDUyfT2w6XEePzT2Mwmua5C1EyaDyVkRVSz21zyi00MYRWLXeKfab/0t0c4xcf3lC+YwG8J IYRHHnmCfW/9nUwrioozmBjp45nnXuD4ySuysPb7gmgL9ISCgooq4PJih7lCftA2i41kKkQ8pqGm poxkIo67yMXZMwfJctQR8gxz44qAtuhlyuKZG+TypdMYDSqceQlWrd3I+Eg2c7PzxAVZyZQraxK1 SsP6dZtQqVOMDXnovjPF8EgfX/mDbYyN9hPxJ7GZi7l+aZimZW4qqlJy1YMQ6i4ozKKz8xbLlpWS IESUac4c76WxYjev7/97GpbUc+7ECIW5ToxmJytadnLsyBW271hOfW0TvoCXB7Y/y+nj15ieiDI5 65fdvOlpDw6LGXdhDsOjAR577AlOnH2L6ZmxtPCLgJ9EEnhnQzidVuxmMZAUdZMSpaT9RlCiwGS0 fRT4hSjEot0nDiJMiKIt/L+4CLlQvcnBV//oP7J/39cpKi4iO19sxfVRWJjF628epK5aT0V5g+R5 KxRiLbRQm/9wt7oCCYzUa53pzbRqNX13xrlwroPmJrGOwUs03s3nPv881bUZUrGxsMROZYVAAovZ yAQKrPj9Aa7duMbGjRswGnLp6uyUR6i6ppbCSh/jEyECXh1f/5t3+MrvPkLcFWF2voNw3MvNm15K Sgskqvba5U62bDfhnxFppZPBoVMoE8txGtfydy++wwu/9TgWS5KqyjrmZidJKef4x6+f4/GntnPr 5j3U2ih3unrZuK6Q9msT9PfMs3RNIRfOXWf3I6v57kvf5PrVYVpaH+Dll3+A3aUn36Xk4vnjNLes JBiIkeF0MTsn2JFpvkkiJlJK0Gt0UlllAd/o881L8Tqhkr9ov0YH+XjkWNDnFY6y8Ps0n8HAtq3P cOTgq6zfUC9XvL352vcoLqljYLCb48ePsHXzdvQ6FZFYkkQyhlotpuoxUlL6Q0kkkkSrUTI61o9G m5QdsNx8G8WVZWTlJVDiIJYMUlnRwNhIPxnObDQaHdk5FrJVBnLy9Wi0KoKhKaprBBZKgdfXz/K1 BbRfCaDTzrBmxSbu3R2ktEqLU5/FylXFDA0GsZjVPP3M4/zklaPkuY2UlDbj80Rxu/P5yavvUFRr ZE9DM5fOX8RqU9CytACHqO2pY/kaP0pVRELwz5y+RGVFIy/+P98hFlGzZv1q/LEpNrSt49r1C2zc vJzPf/HLhEJ6Dhw+Td9AP4EcP5cvn+TA4UM8/9znZDrlcuXKoaaYJckPWGgFJCEUiEhgZyyewGIx pUlXi/brdZCF6CFsQbRaymt+vCZJgVafQ35erVRqTBHkK1/5DHpDDl3dIS5d6KSjs4fcHDcOp5ZI VEgCqTBIErxDpl8Gg5qeni4isTki8QkmZtqZ8Y7RVrhRbqwVESMaVqAx6qQ6SpZLJ/n0qWSIYHAa pUos7kyhMVjw+SekxKnNomN8ysbBd0+Tm5WNUj9MRm6AlMrL2JiDXFct7kIPHv9N7CY7ZrNaDiiT MQWHD5zg8b2t7Nn9GGfOvycn42Jh6MaNDxKM35DTfOLzrG7Lxu+N8N1vHaa6Yg2jgxGKCkt47oWH +eDE2zj0BSSSYTZv2kw8ISJTBM/8LGfPHWNpy0ru3euRwuJFRcXyd/e67lFcXMZDO/dIqda0YIBe plnCOSKRuGwfi88gFA1i0Kap0Yv2a3IQ8UEsLM5Z0J796d/HGBnzyLaqWu2gv6+TmjqBmBVovDC3 Os5QVFJFbV0ZofQ2BakwIlY6m012mTYI5xAWCgWJxQN85nNPYzRpmBgb5+A73ZSUBvH7JygqtVNa FqO4NBOV2oPP188HR+6x8+E21GoTM3NjZDhcWMw5zPsHZYNhanqY1atXEwpOcvlCFy2tezh+5vu0 rfkcocAYBo0WqzEDFBHqG3JxZbilOHdBvoNIEL7x9fchlkvPlVmqGgtlkW5UN8nX7Y93YlYbOH/x DM9/+hn6u0Oc77mIK1tNQjFGY2smvfcSHDxwiIC/FYvZQFl5FvPzAYqLy7nd3kM0rKbQnSdrsm1b NhAMTrBl61Judx7jblcXJoMRo8EhUcgZrkK8/oiE1qg1OlRpbddF+xn2K3mHPu4kHzcRTVL4yMvL RIieJ1NC/VxEhSTTk8PYTVF27lpD561pbt66RFfHMA888ABWm+j9i2HZvEyL1Kr0Kl6B9B0dmcPv VdDfOyoVFcWUfWJymInJEeoa8uU+xQXhB4slhU6TwfGjV6mqKaagoJSJsVlGR0dpbmkiyRQphZ+Z WS/bt6/g5OEx/uC3/5Hde8sZHZggr8gr9XqNxnRN4y4R+l1mouFZmlqK8cwmefy5Gl774VXKq5cT iYxx6/oQnmklnbfvyNvUNpt5YOtzBP1REopRLE4/Tz77rJwLnTt7lYYlD5ObU8r4cJKrw/c4eayH 6TkfruxSUnHRLMhgaGCCfLeN7p5OcnPNRKJDtCzLo7LKSE52Hn5vjKNHrtA/1E8opKK+cQl6w8LO +0X7WfYr+wpZiByJhbXQSqW8+CNzmHV2ohHwByPEEz68vhiurHyIiyalgsHhO7TUV/PEE4/ImkXc P5VKSj68JFeFhDCbibzcYlYs28T+t9+XnIncLDdNT0WoaiggHs0mGBIpSpzgfAKj2cH5M13k51RT XJot9yEe7bjI1KSHeCJKc4vYXzhPcLaIa5eP0rRMi1IfobYhh/KySr7zjUM8+Xw9FVUmIn6hxh5C p4sSC4a5evU6jS1ujHo3507dpKTCRFI9SCJsYnJynLJaqGlxkYqaeef1W1hsd6hd4sYf7qOkUk8o PIhe52Dtyt0cOnIRdcpKJGDEM60lloiSU1CN1xPDYsyXajJanUUW2/FEmMnpATLnwJGRJCPLAAoP ZpsZz/wIAZ8Oq90tVSDjokhRKhdVg36O/cpj7MdrEmFGXQnBYAyTUcHIyEUe3l2NgjCxQACNMZ94 xMP6pa0c/eAYGQ+5UWsM6PSijhGTbxF1DFJBRfI7zGJCvhanM4+jR48yNDpKe0dEwtgFoLevd4p3 95/ghec/IzfrijmN3tWHxZlBuE/ICFnkEtJnntshCVie8B1Wrq7FbGmhsrSSOzePYzbkcebMOf74 z7bxnb+9i8bsozjfzrVbHTTXr0dj1FBZu5Luu9N0d1+gqqaOro4R2juHKSlNsX1HAyq1D79vHLND zdNPbyLoT9F9rx+72U1uvknuYDl+9DJDfRG8YQ16Q5LR0RusXLWcgf4xxqYm8XqimE0OdIkof/xn u4mmOgl4zAz3K7GLddeqCLNTOrKzDcz4wngDCgxmJ3UN9TI9VSsNUvPvwzHVov0P7NeehArqqNGY LtQ7OnvZtXsVkXAPOpMRIl7UWiWR6DzTMyOyo5WZlY9LlykjiW/ej9maTq/SC0bTaVxpaalcKSCc 5sSJV9AqZwkF59i0aTtajQlf0COkDygudeKZjcnbxeLTqPUedj/WTCIpJEwtZFlruXO3B3/Aj2cu l/oly3nzjf3sfLQcJUFa11qJh9UkkgbGhgPMe46zZs0ajp98l4KCAlasKZVrpteu3IzXo2TV2lqU qrS8qSBg+TxeLPYZ9HYVDcsF3CafZDJIZ2cfy5dvof3au0QUEWZnZ3E4suho7yEnRyCie3E6XGg0 If7gf21kPnoUqzaHmaCCof4gz7+wiXhyhKmxcS5c7GV4yEfIZ4GEhprqhg/xc4INKlDSi/tH7msH 0agFhyRJz70eFEkLUxNhQuEInrl7NDQ1y6LW6dJTsySfweFObty8zcMPPyLF6SxWM9FY9KNlmkKX a2H/epoGDE89+odcu36RN987RtCvQKMPkZcfITfHhckCJw5fprpmCStWLGFsoheb1UU4lJCEqmQy QVXlKrq6D/O9l17hsV2/x/Of2Yna3CcPeWFFiLNHgxTm1qNTOem520XAN09dXRFVFVXMeEdYvbqe JfUFNDbnycaBP9SL2SBqKA0Wu4vZmXvYbU7u9vYgEP0lxcXU1bkZGL7I6s0WJibctLd3MTPjlcW/ yeQjN8+OyZKkojIXj/8eLqtYGeFm32unWVK5k+98822eeGaVRCIP9mRhNGSxZsVGMrIyMRisBENe md4KxfxFca373EH8fi9WcwZvv/0OuZmlDA+FJa/i4T0riMb9aFQK9AY7bW0tvPHWeQaHfHLRTHpH ouqnNs2KDU/xeFzivQTeSlxr1VpqapazbvU4H3ywD2eGUF0M09QU5/LVMzz15KckP3xgoIvConwJ zTAaxBQ6RDQ8h0Jpobo8n8kmHa++8j6//yc7GBpvl6mWyazH5TJw8ND7cgD3mc98Tu4xCUfH8YWE 0IOBNavLCIY9GPVpvrw/4JHoAEXKQiwyz6ULA+ze3Ygy5ZPyo4LgEYj46B3sluLcwWCK4qIMJsY9 RCNJXBkGntz7KP7QsBwshudyOX11jK72cxDPZGbaw/jMLONjc6xatYq6ynKiUcHRCVNYWEg0ksBo MMnI/dEG40W7fx3EarYRi0b53d/9Hd595z16e2YIhkzMzCSwZyhQ6xREk3PoNAZQhtm6dbO8n0Ev nMGPWm2W8BAxT/mn23SF84id7maLngcf2sndex0kkkGMukKGBuIM9Se4cu19iouLJZlLocjBPxeQ XBK1MYxWL0Srw8wGxlnftpX9r/09QwNDski+fmmUlmUNNC6dI+C3ybph39uvsXv3w+i12ahiajQK I5HoHEa9gnB8BKvJiNWUzcjYBPm5hXzwwQlqlxQSikyTVESxWIq4dX2SQ4cvyqHfKy+/ij2rV8Ll q6vzOX78BJkBMBiXoDUqOPLBQSZ67Dz79OfxzH5ARqZONhtq8lwMD02xYmUzf/HKN3E6SiBhZcsO sUhI1IBxuS4iEk6m0daLdv86iEhnotGg7KysWbuSC2fPYza5MRoLsBjFPGQOrWqeueAoSlWcpc1L OX3yCmvXt6BQxj+qPxbSK9EEEJ2yhWm92ZKetag0SrlLsKujXULGR4eGaahbT3aBl4zsQua9Pn74 /TeprmrEaFbgcCVQaufIdObRN+zHWeajbUsTN2/cwV20Ed98P+dPDrN8bVx21AxGJ/m5Lvp7eyku LycwH5L8DaGjK6byoj6Kp5REQgnyc9MrqUsqsulpT5CX6+DEB+/i8ZyjoWE9GpWNd987QEl5PoUl JXK/iEhDm1tqmJoeYWJijML8bNas3ox1WxQSd3noUQGEHGMVlYQjQmSvkr/8z3/NI49tJRTUY9Ln C/ULohExaPSSlZmHTrvoHPe9g4hIoNYI/GmEfLcLg8mE21jL0cNXiSfrKckHg8WCSjWLK9MhxejG x6fo7LxDTU12GrRos6W3ywo8xYedMuEkwqKJGFqVwHGpWLt2gyx4r1+/ychoN2vWLicZyyIUSsgF Nm1blhOPajh86LiU1BFyoyhO0dQkQIQT1DSY2ffWBUbHciivsvODb11m5fpGuQAoFJiksqqUy5ev UlyWjz1DsBlFm0j82wxqrV5qgk1PJigtB70pTL7bwcVj47z+k/00tyzFF4hw8fxZGpubGR7twpmb TzRQQFfXPQkhWb6ihRPjY7Rf68OgcZKZJWq08xw+dpqiojLKKkTrQYhY6Nn3xks8sXcbI2M+rl29 zaYNFYTlZl0DWZnp+YegF1us6a3Fi3afOsi8NyHVSjy+USxGBw/u2MrMdIAHHmzjdtdpbrffoGVV FUadXqqGCL5ES0sLJ069T03NTg4fPsaWLVs+6loJR1lwEPGtrREpWDiOQiqvqNm2bRtnz6awOVME wzOcOenHlhFh5boScvP1DI94eXDnDpIxKyPD05hs04T8BrLdEfKLYPsDmyTs3WRWUVlZztTULJmZ 5XL3iUatZNPWraKyks6RSM2jiAnBOdGh0lJSlIHLruXYySNs37UULSmeer6G/tEkxXnZ3OjoY+Om dahVmUTCKbnHZGxohokxPxvaVuCwZ1FT3cTZMxdIxR1cOP8qe59votK9l5PHzlFW0ohaPYnJYGfV mibchTa678WJhU3U1DRJcGd6HZ1CFuoW6yLM5L53EKs9PRexWwQMI20ZWenWbcOSLXjnV/LOey+x a0cTOTY/+4+8w/BQlLrGOo4d38/0dAS9Pk3LFYLOKpVADKeLdGEKgcT6UL9WRBij2cSGjQ9z5Uoe Z8+epbpBL4Wu3377Ao8/sYWMTD0mLYSDAfm484FSfOFZEqMhMnPEjEOLkgwSMSN6yykyM1rxewOY bVkoUiH8Hh+vvPIj6YhFxcWk1LPSOUTubzKBIuXnoR0tGCQvRkdv3ySlJSslJyTgUeB0KBgdbaeq olDWVse62snNdxBVhVFZYlQ2FXL+2iUu37pB0/LVkjg2Gj5KXYvzw4jg4u+//SLbH2iTq+RKK/yc PTOVfv1K0BpixBNGDHK9nVDGX5ym39cO8vPMoDOxa8enuHj+DRobSmlaXo7KcIe2rRX85I1X0Wqr ZQ0josMCQlhcL6wJSO8sT4MjF+YkoqCvr6+XaxuOnXydgL+fTz//NNeunKWgwIi7wCw1ud595wSO jBr6Bm6yvq0Kd14d4fg0SkUQrUaPxaqmt6ePiYkJmpsbJXzDbHfywIObcThEihVN/31xnUgQCsZk iphKJeTqa7NGwb2edgaHulm6tFXivlwuO+UVJRw5fJTKymqefGoLhw69z8hQipGhbum05aXFFBZU ceXyLVYsX8Z/a+89o+s8rzvf3+m9ofdeiEqwd0kkJVISJVmyZFmSS2zHKXaSmWRlZk25H+6Xe+fL 3Flz514nubHj2LmusSzZ6l2iSLGIFEUSBMEGECTR6zk4vb3nzNrPi0PCSixqkiimLOy1sEAAxMF5 3/fZz7PLf///IyNXOXToXUpLy9V48Df/4D8xNTPE9FyE2roaioom1Sy/hJsi5S6biEB7dCDjb/Tx 3vJ2yzuIKMROTSTZuPFRDh96ki3b66ltFiTuFIESM6mYCy2nN9/kwRfAjJJzFEZr/zGTga3Ozk7V 0Hvl5ec5dOAsqUyE2elrNNU3MzFxic1b1nCmP0NX51qGLl5UrO9eZ4BQdBqzy8KOOzYyMnSeWCzC wsIcTpcdf1E5tfXlqnydymSx2eQW51X512TOKY1DSZWMRnHaLLt2bcRi9LIQmmHnzk2K+fHJJ3+B z+dn+w6ZdDQxMGijsaGSs2fPk0nlqK2tp7unUSlTDV06z9DQMC6HnfeOHWdmapq5+Wn1d3buuotM dhan07E0VqDnaNft19ybFfsEOYhUXirKywnNZrDb6jlx6hz1jU5K/cXUVqzizGCIq9cuYTK14VVA RKlqOa+fHDpuS8d+icm/pT8iPxMHEuWme+/5LG/vf5Hhyyf48lfuVPlDR1edygMmJ0zMzl/FHyjH YvaQzESw22WqUV4tSmNLm5KLFvJugyFHNhPCbDFhd4iDCg9w4TpkVNeuhERzSwUEeU8CyS8NQJFf wrmY4g8WQjxRvk0mFzDbE2ze0kZDTS92q5V8zqwccujSSfrW1OH329i2o09xfgn8Zn5+nvrGCt55 54A6wa5cuayYL4WSWARFs/kEWlpI+CwYlTbjin2iHWRq6goVZS2K7KCvaCdGyyreevun7Ni+jhef +QXz8QijoyNs3LCD1b0b8PuE0UR3Dn3H1MMrPezS4fYSYhUGt4LBIAF/QImHev1bKBeQJFPYHI35 zB8AACAASURBVCLTlmNw8ALx5Bw7dtyLw+omGo/idgaYC15ThQEzFnxFBXi+QbG7aFpK8VtpWhyj QfTXRelGStJCNmzEaJa4RmeiLA3UXBf3kbJrNLqAx12uOurJZIg8UepqJMnPUF1VQk4zMjef5sLF AcorhGnSitnsJJePcejQcVqaV1FR2UBxsZ1nfvlj2jublMCPbvo1KzycctyVE+QT7yAVFZUk45KI 21SYMDtrZMeWL3Lm5Ps0N7aTnz5HJLxALB5Wp4PeAzGRFUCeWdhULGpBFBxC7PoikXGrgJP5uSnF knhpeJ5MJk0sGcHv8WGzGFReIKGWQOA9/gqy2TxmS1zxdZkNXtLJGFZ7jmg4iNsrClOarovu9JBO h3E4pOCQRsum1PuT92MQoKQsTg2FFnjnnXfYtftubJYANotA8SMshkL4/MLjlSaHRi4fxGrVCAbD 1NaWYLG2YLUIi7EIGMWwWEqJReaoqBRnjbLjttsUGlkz5pidFNiMIFVymGQQ3WzUxwsyGYxLJBor 9gl1EPKSY4TIGy3I4GxJSbmaH3V7HDS3u2lZu1M176qqKihSc6z6JZlEaH1ZzC0niMBQ9J/dmGqU 8KO4pExgwbQ29/HukRfZflsvc3PDKpTafddmpqbHFWnCqs5ajr17UsksbN60lWRqAbtdknHp1jvJ 59IYjcLzJU5hwaEgK7IA8wrbhTGHwWgkl82RTGRIJrIUlVWza/fnSCcWsNokObEpcVJxjtnZEUpL KzGIcxvzCH4zK5xgLoNik9dPHuHKshKLLrD3ngdUzjIxOqJCPo/PhxkTxcWSi4FmEMkHTc6xpXu7 EmJ94h0kHQOXW2SbpbfgJJ01KwRqND7NmnVVXLgiXFZRFheDat7DapGmonmJKdGo8o0C1dBy8ojC Z9ntzUtwCyNuujo28PZbb5HPx7lj1142brLygx+epqmhRvVZWlraaG1t5+zZI3R1ibRbmFAwiD9Q g4E4eRkZzstCFmZ60S7MqE67OIZBNEtkz08nWFiQ34vQ339Wkc7dfd9DpOLT2Jx2hQyIx2coLa1V MzEGs7zfDAZTFn9RMdlUFJNRIyciQTbRh7DjcgfIplJo2Rivvfo2Dz4kzuIgrc1jMPhVdCcMJ5lc FgXgFX9dOT0++Q5ilZkoLBiwYBQW+aWIwOHo4Sc/OUlbWxv37/0jKioqrifiim1+qQ8iXe6CFRxj +ddOh1ktUJvFic3pI2fsoqQygdkeFE55HM5z/MHv/S4XL7xCWZmXkXNDvHLhKGcHZmnpCmPDij9Q SzIW5/nnX+KRz39egCUYzRqZdBCLwPUTaewq1JKLySnwpSTz7e3tdPfJ+0yRy84u4aLiavhJd2ZJ rgv5illvZKBhXqJjNV3PI+RUimK2mTl56ghf+OL9mIW9Pj+P2VTN8ZMvU1/Xh9NVgiVXrNRy88a8 IroQcphPsmnL/q3CSGG3uV66zpHLJrGIBHhO31D0KUrZpG6gwD/RDlKgCSowohScQARDhVW9pKRE dc8LtjzXKFSyPvT1cyadQiivtwWsNjOtLe3MLgwxMHAFmyFEd1eEtlVlhGZm2LRjB8nMZXrXrhL2 XBXSxCOiwxhUkJdIaEGVc4VTy6bCrzx2h0fNoxgNmgqRkkk53Szqdyqq3IrNUR6YNDqF51foi/Q+ jmz7yx6R2vl/dXQ5nohjNCax2wRCr6l+iknB2E2kEnNgFQRwBU6PyMJBPJ7C5ZUCgqZCyE+65XMZ TCqnkzstTqCpwFrWifSbLGa7KvvLGtGyUkgRCYukeuYSct9M5/GWd5Ab9EB6BargJHJh1dVScbph csGFalXhd25mWsYqSmhqLWaycuMkanfhddUyEpnjzLlLBHxjVNeE8Zc1Mn7lAtUNSeyuFOMTObxW KQBIMaFKvR+jRZdpTiWle51WSbuEXQ6nn/6T/fSu2cq5wcM0N7coTFhJ2Rr1AOUjlzMrBzWpLKHw 3sUhljmFPnOsf6gTUPIu2ToThIKL6sQRh/F6/dicRVy4NLYkA6a/XmHXLODWPulmMObIoRdADEYD VnXiigkntDoqFRWsmCCuJeRWG6ISQb15Fe+Wd5Dli7xwkshi0gd+9HLt8tPlgzxcN3MSwU/pJuGG aWkxmrBby+jpuJ2FyQQ/+uEB/uTfrcZhTuL1G0jmwpiM9bidaSavTaobLiR42WwSQy6pTg9pBGaz ccwmL6gHJKq+NZBLKSxZNqspZkl5v7Jo9UEv81JodcMp8lr2V7nECg6ibo6RxeAkPsGhJRKqSSlE FnJiLS6m8fnKyGkxfEpl10g2IzzGhfL3b4eDZFMyByR5mHyVU3NCmYweSsn3lbaMzUgsmlLlbvm5 rBs5ReR+/7pG8ifGQQoOsDzBlgVV2AELF/jBWfdCg/BmDiI/VoiLpTshdR6RkbNZ7Yql/q67P8OR d85x6VyG5uZpPH7JIxo5cnSUzTvLcDiEGCGnTg6rQiUbSacWsSpNE4mQDUTDM7i9AU6fPs3GjZvV ieNx+/D7Peo65IFJCCANRqTaJWJEKrE3YZCKW8EhCs3OpWuXK/MFpBRswO7U8V5ZLc/FS1c4P3iV dDbP+rU7Cfh18dIb0ZlIgC6P3j+5ZrOIHo1Mk6YUekDK6g45IJYOWbM0Qw2o0FW4i71eldQqk4rj zeyWdxBxAImXl8eLy/sYH7QCId2HwUx+5f8rylK5mRK+yWtLmXapA54Hu9PM6jW3EwoNMj45pUZ1 Pa4Wjh19mS07i5RzSAUtlw3p+bTBwsz0HBZLBI/Hi9Ptxe0tIa8lWL9hDclUlOLSetKJENX10uPR x1/VtSmyXEEhFxavuIBZkdrpq1s/XfL57NKmkSeXiROOLuILBAhHg/h95Vwbk1n3coYujfL6qwcp K2umo3UHhaJVLq99pHvzibC8RAFSjLGpZmwmHSOTyWIyOrBZpdiRVXma5HyCBJf8MhKJqfz1o9gt 7yBihUafOEnBOQpNQfn38v7GBwnqbmYGoyxGXdOQvEXfpBWzMySSMQxCH2+dpbWzQjGptzVvJpOd 4p57N2M2OWls8RMNexXMRH4xk0rjcnnJZow4XQJbn9bDQcVgmKO4tIq8FlKJfDwaVCfHBwsQUhLW TwnJLTJqyEkhAGx64n6DY8yI0eLG7cxiwIHPLVunVQEhHU4b2dwsYyOjamBKEANFgmmR95mXKt9v B0oxEo3j8cl1J4jEZhkcPKNUAwShXV1di8PlZHBwUGHcJMyShm9RoEyBVVXY5bZ9sh2kcHJ8ML8o YKnECn2O5T9bjrf6MDMYsooQW5xD6ZAqKiFZezLzLoVWI1gmiGs5SgINzE9HKS5P07uumlOnT1Ne 4qK0tHiJKV2qQxEC/mIGzw4zM7VIR08pRpObTHpRjf5KAh+LR3B7inDK1odd5SX6gJcOjSlAQCTB T8STqsJVYMgvbA76ZqADIeXreGKByek5BgavYjIWUVLWRm/vWhoqm8lm7VitSwuhgE0zGD5SFedW N4/XSv+pw/QPHKWswsXGTWvYtKGD4ZHL9J8+RH1TF8OXz6ueU1trF/v3v8XnHnlM/e5vRZn3n/IA C3irj2KppSRPEn+TWSd9kL8ZjWZ0YjoNulr38r3/8be0tttYu0kqZxaCwQv0re4km59Hy2Yw5EyY jCYlFZ1KBulc1UZoLo3RJAs/hcVaaDikcavjXaYNxQvMjFweoaKiTM2I5LIpjOa8eh8WqwOX24zL UMPU2Dhev7CXhJTQj5wy4hzJ1CJ2exnXhsZ4/rkzrF2zhf6Bc3S3l/De5WN0tNXS1evnW//3/84f /9F/BUsWU95JJAiuwARQxW/S0qm8QmzLpiSXJAjnAmezkP+ZbTnC0ZTiPhaTSq2WTzI0fJLZuWuQ uEppuZd79wohuB2DaRIYp7nRRHPjKpKEef9wmuxigm2bXKxfX8lrrwpG7b+Qtxo++Q7yr+WAEuoc P35cETjInIg4hziN1Wahu6eVg2/XsXVLJ+HFOYr9eQKBavKZJGaLHy0fV/0NjZCCi0g3XPXlA/La N0uGU/j9bhxuvfknC8SIbcnBBYOVxmiIUl4hSf8i+Zz8TcnLkioHsdsEuRynuaWNr361lnPnrjA6 dpmGxjq+891vcfuObjK5NFXVxbz84svs2LkOk7kU8dH8LcAaZzIvRbfC9CidJaOZbFYvdqjwkwwe B8wvjHPixBEWw1N0dtZSWuFUHMuGlF81WM12OfYFx5Yip+khqNGYw25wUddYRE9PK1YHOC211NV4 1Bmd1lKgIEm/3j71DlKI56VZJw/k8uXLrF69+kaopsWxmNw88vDjPPPst9l1Zy1mUwqfx00mmyOV 0ohG01RWNCqCCR3VG1eL2azKKR9uot3u9RceUnqpuiTlXIHFJ1Ximc0uYDYXkU6JA+o4L0k+VVkz HcJsdDE9eQ6fr4oj777Jo5/bx7kLx/jq1x7jtTee5YknHqaqJsD8zAI//OH/zx98489JJyW5/c07 iFFdh4SNhVzwRnUpk9EIzU+oa0okp1jVWcXePd3q9E1kZpUWvc1Rv4RJSyx9XnIOYd40GMmSondt JT6PF4fdyfDlKJs330tKrt8u/3/FQT78AS3lNRKPdnd3q1KsEEGI40gJV3YwcYKyMj/33vMQ7xz+ Hp9/TKiHZLFaeOu182jpPCV3tTI9E6GyxqES7Hxe6u0foVNtEH4qWRBpyEt/h+vwd0ElG4wB8vmw +rnw8BryTiYnJ5SWeiodXQrXLNTU1vHUz5/iT//0Txg8169ynprqRlZ1iOPmlPLW8ePvUl66Sr9e SX0koec3aznVCb9RYNG0/PUG3vDwJd5/9znWrmtjVXen2nQ0RsllM9gkLzX40TKzahORhqF+76Tq J1VIg+ohCQdxRamUduOkMTMzrVHi95BKJ7DZl8LcD7FP/QmiCLSj0SUibNSU4ejoqK6tIVWSeASP 00UklKK6rop9gXuIRMexmDSlX2I2FHH+okDu32Bu/ir77ttMQ1PF9R6IPvf9600Y6RWWShMZaAMm 2dWFNFc5hzxoOS1c6nsuRxHxqJn+kxPU1XZi8ch7TnHt6iXq6rsoK/cSDl+ls6Od7/7t/4fDZVSS 1clUiuqqGnpWT9HWtJ1UWkZvpRpmvdGw/w1ZLp/FJFg7hZLQizIyEiDl8MFzp2lfFaCxWTaBIMnk lOp1WMw6SlqL5TE500vXYPyVD9mkxNnsVglNF0iTpf/0KGZTJ4ePHOH2nRtJJNOoaPhD7FPvIGIF LFcB5FhfX68+S7LocupTirl8imw2zKXh0/T0lmM2FrM4F6S+qZbgYpRwMEwsniKRFMfQubD0MvSH PwAtK6O40sjTG4NSplWDVgoaD+mEhtVpIU8Ck9XL1MQ8p04MKRlrbyCH05Ohrn6VUt7dvHEdFps4 TYSvfPUJTAabmpMxUUxwcZKunibeeuUwjz7eRjg6gcf9m03QleWXMGdKQVFv8MoJKvc7tCgEe3Hi SQ85Qx6HXRJ1q45KzFowuYR4QqSw5Z4LpEcQBwLByWEwCcREusA5ElqGi8NzGPNdZPNOMtpVjOYU JsR5Ptw+9Q5SqJiEw2GVnMdiMTWvfh0kuRQX+wI2fvHMj9l9V4PMG6kHKprtJmuEdRublWpVPFpN WbmPbD4qNVoVIt3MRq/O0NAcwChwFCVJoH9fdxZxDkneg2BIKMSuQEnErl4dIT82S3dXC26fA4dT HrZhqYvvJxqZVzzDdpuHQ28PYrDNMzkzzfxcI+Pjo1RXO39Fs/A3ZRazgAZRYZa0rvSQV4CeUFLm wmpPEgjIEJhGaHFC0T9Z7W7lJ+n4GFalMiaQHMljjCoD0Ru2hWeUIp42M3nVxM7b9zB0+SrdVYJe yGDS9M3vw+xT7yCFHEScQ2h2xDkEp1Oobilcj8XAkz//EQ8+vJt4ckD1LlKJEMGFGEnbNK3NveQ1 K2ZjALsto2ZX8iaZ9rt5t/rKyIRSixLEpKbFlDvq78m6lOxnSKSmsNlEOq2INet6KCuto7q5lHTq ooK0ZOMRBXWXiszw8DAdnT34vAElIzc5GeXggWM88sQ2Kqor0Fo3cOzYMe5/aPNNT7d/HTOTSiWw Wsyq06/nIkl1H6prSnE6ZaIyTSIu7JvFGDARiYxhtRqxyaaQMyuPkBNjSYEG8mnyOT1htzuLmF2I UVHajdyittZ6UsY4JjlpPgIc7VPvIMs77gpXtURlWjCTZRxDvobOhvs5deAsG25vJZY8x+y0hXPn E2Ryc/R1SL4SIZvRmBiNkkzkOXnqPe67fy82R4z54DTFgWpSmUWFHdKERMGQw4SVeMrAc7+8RG2j lb61Tex//SJ37F6rQoejh6fo6szh8TeSy83rv29zUN2kkUxcxO4QR8qStwe4NBLmyZ+9QGlJNZXV Jfh9IbKMUF3TSdc6F03NdURjGq8c+ykV5W1oSYMihMjiUKwwwiVms1hJJZPq5JPyMQK9+bgRKTJc lk1iNGWwSMijCXZKeJiNjF6aoqNrScramMSg8jkrdqsFi1lOVqv6f0LMLYJIeS2OwZxSp0cul1K5 29CQiR//5CR/8s3/Ta32ZDSCy9OiIoOc9easR596B7n58ytnauYqOesw02MnOPCWgarqUkZHpyir 8lBW3sbi4mVMljQ2q4uSMievvLwfX8CCxSZl2wzFgRqlZ15SLDG/AZNBqicmEskQne1bqGso4/y5 y5w7E+L8RX2kt66uieHhA6zpqyGbCSvRG4ejlGh4DpfTi91RopxGOLcsRjd1taVUVHhw2HPqQx6t CSeLoRjtLT2qs3+6/yLbt+5lajLO9//2Jzzy8BfwlzswG3Xwp3BniVJXVpMq3L+CcyyZzNHoO780 btOYMwasrpwaP4iELSRiORwuIbeIEQlPYhdUgEn0TtJgCiuYeyYpzmMhn8kQic1QXKLPxzz//PMY jSauXLmCw9mjIgRFoqFgKgn8bn1T/HW24iA3MYNmYfDCYTp6MtQ3V3P8nTFefnaA3/3DRzl45Gla 24XBMLfUAzHSf+4k93/mXk6ePKQSbVHkFQJrr6cYLSs7oYm5uaAaVspjxu2Pg7mf02cPY8gF+Po3 d/L0k2+qhPTOu3tUlz+jiXNIJceE1eJQkG2ngq3IIs6TiE+ohuXXvvooz7/wSwXvlrKwQfPgcnkY OPMW69dtodhfyulTZyny19HR0cN3v/s9HvvyE9TW1GJWil1C2Qpmk5nF8CI+ryzcj9fEGSWazYlH ahpOobXM50gl5pUg69yMnb8/8yLrN3TQ2V2vhFv11E4jk0mSy+SIROKcOnWYPXffTzaTpLikHi2d Y+xqSPW31q/fqaqUapzBAIuREF6PX4mi3sxWHOQmFo8LPaqDyoCLLIusXtNOZ/tWvvWtb/Hn/+HL xOMRRcyWzEifIk5PjzQZc6xZs4WstqhKlul0BKu1iF889Swet59QaIHqmirWru3j7777S27b2c3M mJ1HPvt5zFkXEyMnOH/iKPfev4XSTQI50XfYeDSE013L9MiQqv07nCbQogqabzQ7iUavct++HWiZ SRaDEYrK6rGY0jz44N3ML0S4cvUS7a1rmJ69gs9TRm2tnzdff4Gdd9xFfUMrWvZGWC47bU5KsOI4 H6OZTEKkl1VCSHZ9vlotYkEDtK9qwGywcuXqMLF4QuHrJMSUHCWVmlcIbLujmaKSIJu3yYaxgMmS VLi0XKqK2amMavrOzc1xbeQtysqr8Pmdigvto9qKg9zEnB5wO4sZujZKS10FJWVGXn35Jf79f/xz Dux/k9vu2EIiPofDWYvdkiURE711E7/45dM88rkHMJri5FVn2EpRoFTxbhUXi+S13r1//CsbScXc fOPf3o/VkiAehk1bWymvdPP+sXN0r2nCbs4Ri4ZV9zcWmSAUjGK1GXC6vGB0Y8RJJpFmYnyGRGqQ 1b3rKRIGd00CvKBSDi4vd/J7v/d5pQj8wx/+nPrGAHOhccLBHCdO7Fc8wnLCWW0mItEUbreNZDaG 42MucxXmv+xStspDPJbC6TYqmYfVaxp472g/vX0drN3QQTI5h8UmoZQwVopDOEhpV7GYfQQXjNgs ZRx997CSwTt4+DihhRSfefhL/PKZt/C6ivD5dDiPWDKVVJvKzQoVKw5yU0uxqmU9x95dZMGZw18c Zc/d69G0WXKame99+yc88ug9ZMwa42NTJBMG1dBraeplMZjF7RfWdw/nB0/T3d2rtAUNFn1efOTK RdzOJg68Nsbk3Otsv201Lzw9RHNrJadODqAl6tTU2/zcnCpDNzZ289Jz+6mqqsbjFui6lUwySDKe Jx638NRT+/lP//mPWYwMI3UAf6ARi0ApTHli8UVsVjepTJLKWjubNq6istrM1eEoCwtxXn3pKfbc /ZgKscQ55CSxmq3/ioUSgypyyPVKeJhIhbhyNcbUnIif1mAxOTC7PEoBTESJ5NQUKEqKK1w8b2Ry xM+Pvr1f5YclPjlpNTKGcZ599lmOHz/PvrsfV39L5C/8RR7lkB9lpnLFQW5iwlwoi2bjpr288vxf s/c+wQIluHzlLF29tczPzikOLovVxuzsAK+/epjf+/ofMXBmkOnpCfbc10E6HaK/v5/ysgWFMxIi urwhjt2pYXMmKKmdpqathtVr6ymv9HDwnbdx2OPc8+gdGJcWqZRtMbhUgi5SbDIAJBaLmdj/5mlM xipqqtezGE0pOh8tnyEVD6KxiNPpx+VwkxRCO7uTDet7VcLrCxhZ3VfH/GyKn/70bfbc/QiLwSSB EjeJVELN53/cpk+G3pi5l6nKWCSk5mvGJ6/Q1NiCwaARTSTIpDMIz8T8fI6A18nRI+/RvrqYqooG hgeHMVnzjE0N0Ri04PK6WLtmF/0n45SWll5HRoh2ZV5BeSAYiijYyYfZioPcxAx5g2Jlt1tT9K3e wJuvvo3Lm2HT5nXkSLL7ztt57bWXuGffLsWZ+3u//zX6T51i2/YtuD02FcPLPrf37ruYngoSiUSw 2CwYNI2G+ipy6XbKqy4xOZohEXVRVhXiS196nFzWTc58RfVBZPrNaisiHl6gr28tx469pwagis0O JqdCTE0LHaqJy1eCJBImPAE7HrvgjTLYkAXgVaO8qWRI8Rbb7QmmZkeoKJXKkBWrxUlZqYczp0/Q 07uJdEaqWQ7Vf/i4TZ9tKZTL8gqJ+9xzz1JVn6emupaxEVEgTipywMGBM0rOoqujj5ptmxm++CpH DwXpWyPl3jhbd/nYsn07C3MJRkeSvPl8EJs3rXpcTtVw1U1Ui90uL4GbOIfYioPcxKKpEG6PCyMm TM4SGts2UhRYIp8mj9N9jc98dhenT46STBfz/EtHqasNUFnrxOkUCMsCVquFVDzD6ZPH+dzjX4B8 BLOaE8mgaWO4LAH83lkS8RECJfVEF6dx+zRSsSx5k0PvHEtx0hDCW1JG1+oSzBaN+bkojfVVvJ44 wdqNNRR5g1SUmgkGp3EF6hXm0eQsZXFuDl9JAwPvnyGZusj2HeuoKPWCgCANWVJanr41nUrDURxE emyCszQqWIdil8JolKZlDi1nRcual0IhxWeq36hfwXQtI4XIiZiqPhejz/0b1cy/QRjFrMK2oike gCxZ5iNhBk6dpqLSyW2bi8E0hsfewaVLlxjov0BTU6/K38SefPLv2bZrO5OTZ+juDnDh4hSbtu5g dGyWV18+SCZrprtrLdPTUdKZJPWN5QwNn6e4qJRAoFgdWumEFDo+4bQ/v2lz2f0kkgmcdjslxfW4 HU5OnnobI4u0d9QpRsVoJMLqNWuxXRzm4tBJdu3+DFp+kqz0KXJGjAaj2sE+9+jDkIuqzq8wOmq5 pFLqrakromVVq74AM0GkUJNOTeOQJBwDCwtDuJwe3IrbKo3XU4qWMTN4ZpDtd/ipqPRx4dL7qv6f z7bpC0AReOeJLo5xZmAQm/UiwcU5RU1kcwtkPqbgNJFkCL+7lStXTnPivQkqK1exfsNm4nJqOsxo GaMOSReWloyQc9tRsouSnaUT5HMWhYTW2e6l6ZdTVSmB70huEVPoBL2cmkjE1DUqvmLVIFR03+Q1 IwNnLvD+yaMEF0d44L61iv0tFs3hKpqiosbG/Fwt5/pDpDNTzC6cZ8vtdXR1mRkeynPp4pgq5f7o B08TCFQyM5WgsambcAh12t5xxx1kshotzS28/vqb3HnnHhYXhe1FF2r6MFtxkJuYPHcJN2RDDEdE QrmMLVseZmZqmPeOHsftDdK7eo3aL8+eP03LqmpS+RmsBsFiWeg/NULv6m5MsltKc2pxVi08gbhb bZXE46M4nWWMXH6fxqYeNeNgUlUvJ+HwGDaHkaIiKfNK1caiFIGnJucZGZ5SC1boSHfdtZGrl4No OSEu0HURs9kIVkcpVoeN1vYaNblX31ClAzO1RSLRkJKplqZbVpMRYDvFJV7efOMFBf3YufsO1fG3 CkPjEnmEVbAgORSLiOCdbOoUsaowKZEQ4jsLZoVdX9KtTwmPsE2VZ4VySCfyFuFWgadrOl1P3sjT T77GzOws0eQsO3a30NZSxOzcKKUlvfzgR0/j8fho7+igqiZGaVkAh3M9bq+FV986SEf7Ng4ceodE wsLEeIxUPI7XI+XhIsymYnbtvFNxlsnsy8GDh1QZXiYVxTnC4TjeZZWtFQf5J5joiVsVI7vgtWxL +aSJstJWNm8pJ5+dZfDMOQ4df4q16zuUpJziZjKk1Wlzpv8SXV3dCmM0M32BsvJa8rkY6bRQk8Zw OosV1KOxaS2x2KIifBAJBLfbhcniwqZYEvNEwotk0iGKShppbg+opNMfKCOTGaK4vIbi4oDa5TEK q0dCqeKazUJcF6e8QpqUeUwiu5aLk0iESSQjeHwB5SDCArL37juZGPsF937pcf7yr77H1h0b9dHj 2BzupYaakBzYLF7FIiIwM5HIluuS/+dw6IjoTDpPOp1Z4i0zKySB0L/Kv6U8LaMF8rfn0Hl09QAA GVRJREFUF6aYX5hmfjLCnXc8QnGxh+//5L+QSl4VTWJKSso4eWyI8uIe2trr2X/gBT7/+AOcGXif lkALoYUYa1bvwOeup/zSMFrOiNPhY/3GbbgcJXR0dvLe8XMcOnqKhoZmdb+bmpoUf5mEvGIfZSx7 5QS5idnMWVXRMRpMCkoiFUnRXrdaTLh9AbSEj7XrGulcvY2/+uv/yqOP7sWQM6hFNTV+kYceehCT zUM4eFXJHHz2s59RHLE2+9K8STSGASuZdJJkwsTloWuqVClNQJdDkmgLU+OXqahuUk1BaZLltST+ EtGAv6Q3C1kUfS2MRn3nFsobp0NI5ebx+aT6BelMBIdKLDKK6UPiciG6VjIRFi+Dg+/R3duoOtJO h4Ef/uC7asfv6V1FJCp5lJn2tj7MVpF8EISAsIk4icdlzFU0SvS/bbEasPwKGUKG6ekpTpw4wdmz Z5mbn1UUq+LQgSIfGzZsIVBs5C/+6v+ipd3KbZtXk2YaA34uXDxLSZWRs4Nhejvv4m//8gh2pwGP I8f+Q0/zja9/gf6BswyPDBFciPPo53+HTNpIRXUpsUSSdRs7uDh0gpbmNuXRwnISDkdVSBiL3Qj9 Vhzkn2mOpXmRWCKE1WLD5dG/jsZjuO0uImENj6+EP/+z/5MXXvwpseg1Hn30PrIpI84KA/HIJN5A Bfff91kw+DCZs2iZuCpxnj55GbdLFGtP0tjQQigUZGxskjt2bcRsSfHe4eNqQVVUt7OwMIE/4CSZ CuN02VTxQCpUWnYRk9moFrwQTwiLipxyPp8wDnrIC47LWQT5mKoIWSwB1SmX8MZmLyKViNHaUs8r Lx9mcjKi9OcbG6o4efos83PX+J2vfg63x8Rrrz1NPutl+9a7lViolkridOqE3Gr8NxlTJ0QkElb5 hoRWLltOnRalpXke/fwW0ukk165NqPCrpLicF1/+O9at3khZeYQ9e3Yqh8pnfTz74quqKnd1TKOu tgEjE8RTM1TW1nLu/ADf+Pp/5PX9z3D+7IIK7+7Zdz+XLg2zYeM2JWyk5nFyKZ544ovXn6M4sxDH iWCqAFNloKog2/frbOUEuYnF4jlcTn2gyeXQWcLD8ai6wQ6ni1Q6hsfvIhbXw4ptW/bw7rvPkksn WViYoabJTS4v89JGxQMcWpjD4bASjsxRVduIx1PMqZODPPzw4zz11C/o7lnFO4dfpbWznJbGGrbc tlnn+o3PqF5KT08HxWUlJBML2B1eMkKEbdGZExXaUDMJBJn5mSmKyyo4sr8foznDpu3ryaSjqvRr seSWfsdJMjaB3VVOIhFVzbnaugqK4mYuXjxHbVUlC8FpslpMIWpLKjWmJyYYOHeYhto+pWQlTiAW iQYZGRni3PkzjI2Nks7ElWOXu71s3NzBqq5KjJaoOuVaW/qIhjJcODfGY1+8C6/byi5Ps7rHU2PT TM2kmJtLc98D93D4wBnVELQ5Y/z7//A4+w+9qAoUwVCYfLqMZCpCWVmV6uU0NfVgV7AcE3OhBTwe F4tzi/j9OqbM6bSrWSs5DXXyuJUk/Z9tckLoo6BGJb0gY7BuNeEHSdkhrSkRO1CNOylbOuxF7L37 Xk6//xyr18kcdQiX20o+G+OtNw/TsapL8cZeuXKNsvIAdoeNxqZ6Tp46wY4d2wgUuckZ1lNR6SdL FDNhopEEbk+N0mWfnp6nuKwGu02kqNP0n7pARZUPi1VyDoGzyI5u49y5C2wJeJiaXFRJ+Kbtdiw2 15J8hIlsOq4cyu4qZm56hJLyBh568D7MllLOnBlmZqafq9dGFP3qoUNv0tDioLe7EXN3Ce8dH2dk eIiKigZ1HSdPnlBz8HKd3T3tdHQ2MTE5ysWL57FbzKJKgtks1bsYOaIszI4yfCHCpfOz9Gy5Hat0 XLKXsJoCVJQ28vSTT9HRu5aJ6THuuq9G6dVXVzbxne/8nPXr1xJPznLu0kG61pUzNl7LQw9+jsmp eVqaO9T1yfMq8stYLhQX62GUoh3Lo044OUWWjzR8mK2cIDexvEEnWZOwWgaq5OSQJt3PfvYzvvKV r0hvVtV4RA5NP6zNJBIBXN7dHDo8TSx4TY139vY1sW5LN3ZnHq/LTJezGbPVRnu7mwsX+2lv3sp7 x07g8eepqLThtntVsi1P3KE62iGqalsoLwnIdDV54wTG/EbWbW4mqwmGSSpFBqLxJFouSCYfJW9O YrVVMDQ4zo++/xRPPHEvBiUqIiz46SWtxAjF5TrQz5yXybspDr/9LlnNj8nqweOxkU8X8eoLR+lp F8KHoKLZOXRgP6cH3uaBz/Xi9g1ic5zjq7/7NYr8XtIZA8MXZxTlznw6zvGBS8zGS6mtLaWpfjUv vvgjerrXU99SSmTCiL8ii9WsO/bFsVFmFuP4pkNKjFRUhu32GoZH0tTUbSAUFqLwGvUcFudy3Hln KWaLk46OsutyGYro+/popv6pwL1c4OaV023FQf6FrEAmVxiokkrIbbfdpkqmSsZtiX29wMwh/0/4 taqqqsgm6+g/c5zxySSBYjeBYtnZTExOzDNrjlJaHWPv/eu4cnGW3r41BNwNvP32C6xZIwnvkry1 xUwyNcNLL+ynxLuObbsrRZmQ/+e//Zjf/8aj9PcP4nGV4PH41fsoKy+ns8ONIe8jzxDVtc1YbWne fe8s69a1k4iF8HrLuDzUj8tVS2lxBQarjPtmqKwvYc36OUrK2zh2YhCvw8nOvdVUnK3l+MlhVrX3 0NbhJpfr4ez7cUYvJ2ms20Br0yYGz1whmxNJbJGTC9C7up3F6Cxz81Nq5mPk8lU1zegPuJibu6rY HkUEafXqPianp8jkNbx+H/c98CBr19yOEQfZXELB76WZKBuUXJ/s/gaVY8jgmPYrXfJ/aVs5QW5i BSnpghVm1js6Oq5/r6B5uJxRXhxKje3anfSt9SqGxIXQOGcHrjA5Nc701CzV1XXk83aam2w0ttkZ vjDNseMTzM5kuXY5idM/T2VFgOB8mkBxFb29cGEgzan3J2jvqMaYq+TVVwe5MjKO0TBPLCrz2zJq myUYmqa0zI/HWUssAZlwgrlQkKnpGeLJIE88/oSK9aPzUdra3TS0SrVrgfnZy6zb1M7pgWFKSmF9 Xz0Os4bLYcLnrMOUc/PGK88yOHCViuL1XBvOUVPjZmDgDM2tZazbuIFcLs0Pf/AUa3rWc/HKLFu2 biSX1bh6ZUq9zh2378Dr87IYnqSpsY0Dbw0xNWnlvs/sYTF5GauM2Qp7ZN6BeYnYTQ4Cp8Oj39+l Y0EasC7XPwyVPiov80exFQf5CLacSX658Iw4i+xeywV75OeFxFWnQLXidPvUE/b56vH561jdK6+n S6vFgjEOHvwxW3b4aG8XLcZ5DGYzv3j6dbZu3UxlhZ9UIsPY6Dz+gDS+VnPm3HFOnBimq2cNCS1I cDFBcZGHZDrOxaGrFBUF6Opej81uZmw0yMTkPCUlbtrbOjnTf4xIZJ501sKqzo18/y8OcOHCBcqr DTz6+H0Ul9pIpsM47Rba1q/C6YoyMLDI0SPTfOahTgbPv8v7x8YVQPNLX9+uSCfeeH0/xaV+pQ0v XXQpJkgTUN0fu4OxqxP4fWW0NHRRUVnEOwePUlvnI5kK4i3yUdOUYXLuKoePPUNJlZ8aZzWh2DQB l4VsyqY2GrmXOn/xDeEb0Vi5zli/dJIvF1BacZB/BSto2emCK1YFHCycEmqoqKDVsfRQxJkKBNPq 5FFcNtKHSCsNC7eroE9hVDV5n9tNZ8s+Tp84QGllhrb2WlKpIaZnDThsJURDVl745Xuk8uP0rqvl 4BuvUFRSRk9fIxcvncFZbGDrjrWEQmHCsTm2r1vHzMwMF4bOsGrVKuYXZtV7N5mLFUSlo3MtA2eO c+bMJRrqa/izf/cN/tt//z/wB5r4629/h3337aGmqp5rl/uZn0ri8ZlJRUvoWbUdr6ucbHqcLZvX ESi2ks1fIZYe4rZdjZSX1TE+Pq6ak5LYl5WUU1/bwEvffYEnnvgywvL5vWde5k//7I+wmLL84pkf 8G//9A/RDBFq69PcfnsfpwYmePfwNH5nMcUdLaS0eeyKxmjpjl1Xjyp8bbzuGAVC7/9VAaWb2coJ chMr3PACT1bhoRScofD1cmmGgvyCfMj8hZiwdghqVnKKWDymnM3rlfAght3pZ0PfYzz/3FOct0+y ZcdqBLa0epOXv/3Oj8llm+nsWsf2re1MTxpJJ23Mz8eYlf6C3cHMjMyhO2lrq8HrEXRumRInHRu9 qphNamrLCC7M8sorL3Hfvrvoz2ocOvgO42PVhGbfoKN7Fd5AEdmRq7zx5ilWdyfYse02HDYLBw4M MT59lNKScg68taC6/lUNaXq7uwSpRmurn8WIhsulqSrbmYH3qKyqZmx0lu99/zvUVFXy+qsvqG79 +o2ruHZtkOJSN/ffuw+T2YsJP8nIEMML/WSTHr74uT/AmPNhkHFzyhUW8oNrvKBAV3g+/5jkXiFZ X3GQj9kK9D/yWXbiguzbcr1EXTBS1/j44IOxmWVSTnRDMliEd0acRUoqmi42mckm8Pj8LMyGue/+ hwmHohx84xfse2AvQyOH6eiu5lK/gYXQLIlcQKFsJ8cE4lGM2eijvrpBDWGdO3eO6ekZphyLSgRo Xs29Oykpd9Hd0c6RI0dJJYU+J0zA56KqphibzcRIeIaUBiNXF+jt20UuF6Wzu510YhwsDm7bvZ7x iTTl5aWYTdLZh0R6UM3EJBOi3FREkUfwWCYW5idpa21WZdadOzeRv83OheELtLQ2cPXKJVqa68hq Aj93UlHdyusvP8Odd9+h5vW9nkrCvgQXLr6I09ZEc/M6LHYzWi5z/SQoOIPc2hu+8A+dQJ7BclWy f9bz/2e/wqfACom52AflgwsEc4WPD5qWzGGyChbJKnRN6gSxCs24gopraDmpaqUoKo0Qjy3i9dey Zd3DvPP264xOD9Pcamfvvru4MnaMcHSaO+/cxfe+fYR33u6nsrqJ0yeG8HgEmmGixN/A8PBliosq KfE3ElxYJBGfV/RAPq+Ddbu2ElqYpa62ir37dhMNz3Nu8BXu3HU/Tz/zKq+9epRMep5Ucoy9d60m lTiPxXGV6qpq1ZXO8J7CmXkdfer9m+0TxGI2XC4fJ46dVEpYYxOX2LV7Bw6nqDsZaGwsxec10Nvb TDw1idflVdOYUqG6866dkBsCYymkzXj9VrrWJYnHznN68CJ+Zy8t3V262JeErEp960YeqDYnIfle 9vVyYaV/CVtxkI9gBef4x5pLN3sQJqV9rptB+VXha4kdzOiS51Kpqca51NgtqnayvfoB4AFGR4Z4 ++AB5hcWaGq6n7HIFFb3KLfvLeHa6GlaqmppbmpkbHyesWvzfOXLDzFyeZTBc+epqS3mka+UsLBw hV37GpiamqRhVRNvvPwaF85dxmzIMT2V5PjJV3j4kfU88/P9bNu2k5714sBRDJY6DCIlYBKCaQcm asEkDUbh/hJF4GLMrrOqI7++7zbefO04yUiAl186yL0P7MRmSlFUlCSHDWM+gNPmI5sbx6wY3VP6 LIlBJ9PO5KJC2gN5Kz6vnfUbqzh+9BhjE05qquoILYZx2H3YbVaFxnU4bwANPyis9FGEcT6qrTjI LW6BklIe+8KXSKWiDJw9wfkLA3h9FXR2dbDv/kewm0QEJ6dGT1966TXKaueJZqb44rZuRQYXm/fi dxTz3Av72b59D4ffOcLU9DzvnTrMHbdvxB/w4vN5eP/kccUWf230Mms2deuDYjYdLJnNCgI3qLrU DptfjfHanS5FmmdJbWEhfJai0mm27DHjMN3DX//V0yTDZURys/hKjJw4doqF6RQ+v4sdt3UvbQg2 JeWVzkxgMNqw2OV7OWyqeekgnQkRDM9y4Gc/ZNPGrWzfumuJ81jflARHJafFR5Fy/ufYioPc4uZ2 +xTS12Zzs27tDtau2cSRo+/w9JNvqLFek+sCRT4/XS3d3LNvj4BI8PirlTxAcHGCgKebjDDCnxjG 4xxlftqo5tfTSQfz8xp2YxvvvjNIR2czVoMTr72RK0M5Skvr+B//7zPcta+dzo5OFsOz1FQ1EE1O qnlxly1JzpAFa5pQGFzeAA6bm0R6ks8+vpXjx95nZjLNw1/oYNvm3eQ1M0fffYf5uRgmY0r1dbSs hlWdyhJEya6fJJpKKHj8xUvTDA+PsPvOx9j/1kEaGprw+0pxOX2K4V23j5+afsVBbnETaTLBesnu qec/LrZu2UtDQxdVlVWE4nNqVvunTw7gsGm4HXlW9zViKw0QUProw1i8Aeoa7Fy8dJps1q3EeGam 0xw9NEpptQ/DYgSLa4yaZhsZ4wUsLg9eXwMVtQYFhwlH45SVNTA+MY/LFVBqsat7WyEbAUuSkStB ThwTYVIjdU121q/ro6cvz2uzx3n3SL/ShbeaLSSSC+TyJZSosVkhcZMKn5lQJIHPYyGezGGgBJux FK/HRnevh+rqSoqK/EoH0maRGFT0J/UkXB/7/XhtxUFucRMxn0BAR6PmNCOhYFxJtlVV1JGIZ3HZ KljXV8GWDXeRjEv3eZH3399PNuWioqaMePysmjqU7ng84WV8PKoW1+Xhy3R19XH2VByXvwi7pZL+ M5d54rGHONv/KqW+Dj57378hlDnDwUPHGRmeZse2PQyemWV8LMrPfvx92traCAYzPPTIDl4e+Rlb N+/gJz98jly2jFW9HnbtK+X5nw3Q1FxDfW0Nu3ZtWdJCiZJKLShGei3vIzSvEV80EkuY1RSjyRhm bFzmVXzMTM+zZcsObBYHGdFtXGJzEeeQ8d6VEOtTbv6ATwm9CBuK2kUdblJpqYQZlYa7yPlp+ZzO RCK0nbhpae/i2rXzTMzMsTADNXVO/IFWXn79p2zZtp59d91OMtPKxfOnCS1aKK8VhvQh/vjP92I2 BSlrrGf02lGa6+6ilCZaW8yUFWm8d+wK3Z2baLt9N/fscTM7O6u4q55+6ghpzUbOlOfr33yQv//Z T7A49rKmdzdf/cp27A6pMk0TTsxiwo7L4cehiLfzTE0KK0QlNmsNRX4/diXLnKepSUJB4eeKQF64 sHIszIeprHRcBxrqsm0rOcin2uKJOE6HUPXoE4gC0JOhJwm1wpEwbo8Fh81MTDQWrTKfkqesvBm3 r0wRTUyPZvjl808SS8wo7fDV3R2kU2FS0RTN1a0ceGOSmdlROntqGDg1SWRxAW9RmvmZBGePHWEh ESKdMlJaXM/vfv3PVLqQTAgf7iLda9roWJthX34N8Rgce+9Vzi0cprWtgZMnLjI6ZGFk5H02b29m 06YWvI4iJTA0MTqPx+PA7hQNeL9SyzKZAnoqsqRRrxRvRfnWoJNp2yxmKit0sodYLKVm9wtjvh+n rYRYt7jZHU69oailVL3farHicMrOmsXtcRZkL3E7fAgELK+5SWdFNcuhQIplVfC7v/+H9A8cxunS OHn8FB3NrVw5P4vFYGN6ZowHH93Mur5VTE7PElrI09pRzPCFcbKJChrM6+jpXkdOWyqrirSAIU5p hZ1kZgajRTQSrMJ4zc4de0Dbw4EDxyB9mKLqSZz2zUxPDTM1M0VRiQuHvYyL0wMYDTY1jTg1NUdj XWHWX9cQkhaqhE4pIbqzmXU2laWDIhJNKwi+yEfok4wrJ8in2gpdFgEHfqiYhUFmHPSPghVGrmUX 7OvZrHKPVS071Pcq6qNqruXeeidmm53hMSGDzhNN2zl6NEVl+SZa21apRpz+92+8rj5mC3aL4zqa QEC1aizAambH7g1cuODl1KlT9G25THiumKf//qqiHGrrNNK9fi1nTo9w4uQs++7/2q9chq4wqC96 fQ5GNokb1SqPt9DjKOgRfry2coJ8Sk3pZBgM1NbeQzA8TzyxqOZY6qv9mIxO8podQ15GKD/8dQqj AMtHAuR129vb1Wz44YNpmtr8fPNPtvI3f/cXRE4Ws/+tk4qIW2ZqbnVbcZBPiX1wrqWARpbQJiDU nHYBUFoUtadaFnoOfVMrIAkK+LPlkPOKigr27f4yF0ZO88vnXuTLv/Mo0WiGv/mrZ7CZ6miqk6rW rW0rDvIpscICljCoALAUExI4wWPqPQbhukopUKPIC9is/2shjN7h1hSoU15fIB82L/T2rSZvNPGX 3/oun31sLV/6/d088/fnefrpN/naHzzIrWwrDvJbbstnIgpOIYu4sNNbrALwk+qYoF/zCuErw05q xsIgs3sfHmMtn8UQK3y+flqZQ5D309TQjc3+VX7582+z6871VFQ7MGSFivTWthUH+S23Agy/sHD/ 4fyEQPflk6jz3lCK1cusaUUy/WG2HOpfcMBfBXDaWIxO4AsEWBXoxmD4M/pPHWHPvrs5duJFbnVb cZDfcpNFK2HVcgj48vkJEQcVGiKTUcpfxuvjwjL/YhSp5I9ghddbPjQmpv9Nm0LhZjUDC3Mh2tua qays4nt/89/ZukOAi7e2rTjIp8AK89yF02P5/IQ4R6FcKrxzBSiH/g3DTatYBcdbPk25/O+mMmFs Jr+SYigrsZPSQnh9Of7km/+ZhWlueVtxkE+BfXCYa/n8xPJewj9F9tm07HU/ONknf8dmFBrQJbCu BFziLPIzE5SIKvYtbisOsmIr9iG24iArtmIfYisOsmIr9iG24iArtmL8evufx/hg5NtCS3AAAAAA SUVORK5CYII= {E3E56ABC-9F32-426D-AA5B-22EE7B57EA72}