en Incorporated cities within Fort Bend County. The dataset is a graphical representation of the city boundaries for taxation purposes. City boundaries will be updated as annexations occur and or new cities are created, and adjusted as needed to the Fort Bend Central Appraisal District GIS Department 2010City dataset. This product is for informational purposes only and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and only represents the approximate relative location in relationship to the districts base mapping system. Data was created by the Fort Bend Central Appraisal District, 2801 B. F. Terry Blvd, Rosenberg, Texas 77471 Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850 SDE Feature Class Fort Bend Central Appraisal District, 2801 B. F. Terry Blvd, Rosenberg, Texas 77471 281-344-8623 281-344-8632 8:00am to 4:30pm Central Standard Time Monday through Friday mailing and physical address
2801 B F Terry Blvd
Rosenberg Texas 77471 USA Fort Bend Central Appraisal District 03/25/2009 3:00pm CSDST vector digital data Server=fbcadsde1; Service=fbcad_esri_sde_sde1; Database=sde1; User=creator; Version=sde.DEFAULT sde1.CREATOR.c2010City sde1.CREATOR.c2010City 09/24/2009 publication date Complete As needed Fort Bend County, Texas REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. City Unclassified The layer is created by the Fort Bend Central Appraisal District; the data appears to represent the city limit boundaries and was not produced using information from an on-the-ground survey conducted by or under the supervision of a registered professional land surveyor -96.033754 -95.417260 29.793116 29.370129 2912987.692127 3104848.605731 13699454.434967 13847949.479217 20230911 13195900 20220721 17262800 FALSE 20230911 13195900 1.0 file://\\ITSDZVXDS3\C$\Users\ashbujos\Documents\ArcGIS\Projects\FBC Parade Map\FBC Parade Map.gdb Local Area Network Cities 002 2912987.692127 3104848.605731 13699454.434967 13847947.751933 1 0.000 CalculateField sde.CREATOR.c2013City CALCULATEDACREAGE "[SHAPE.area] / 43560" VB # CalculateField sde.CREATOR.c2013City CALCULATEDSQMILES "[SHAPE.area] / 27878400" VB # CalculateField sde.CREATOR.c2013City CALCULATEDSQMILES "[SHAPE.area] / 27878400" VB # CalculateField sde.CREATOR.c2013City CALCULATEDACREAGE "[SHAPE.area] / 43560" VB # CalculateField sde.CREATOR.c2013City CALCULATEDACREAGE "[SHAPE.area] / 43560" VB # CalculateField sde.CREATOR.c2013City CALCULATEDSQMILES "[CALCULATEDACREAGE] / 640" VB # CalculateField sde.CREATOR.c2014City CALCULATEDACREAGE "[SHAPE.area] / 43560" VB # CalculateField sde.CREATOR.c2014City CALCULATEDACREAGE "[SHAPE.area] / 43560" VB # CalculateField sde.CREATOR.c2014City CALCULATEDACREAGE "[SHAPE.area] / 43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDSQMILES] /27878400" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDSQMILES] " VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDSQMILES] /27878400" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560 " VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDSQMILES] /640" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDSQMILES] /27878400" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDSQMILES] /27878400" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[SHAPE.len] /27878400" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[SHAPE.area] = [CALCULATEDSQMILES]" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[CALCULATEDACREAGE] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDACREAGE] /640" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "[CALCULATEDACREAGE] /640" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDACREAGE "[SHAPE.area] /43560" VB # CalculateField SDE.CREATOR.c2015City CALCULATEDSQMILES "2530.10583/640 " VB # CalculateField SDE.CREATOR.c2016City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2016City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2016City CALCULATEDSQMILES "[CALCULATEDSQMILES] /5280" VB # CalculateField SDE.CREATOR.c2016City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDSQMILES "[SHAPE.STArea()] /27878400 " VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDSQMILES "[SHAPE.STArea()] /27878400" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDSQMILES "[SHAPE.STArea()] /27878400" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560 " VB # CalculateField SDE.CREATOR.c2017City CALCULATEDSQMILES "[SHAPE.STArea()] /27878400 " VB # CalculateField SDE.CREATOR.c2017City CALCULATEDACREAGE "[SHAPE.STArea()] /43560" VB # CalculateGeometryAttributes Jurisdictions\SDE.CREATOR.c2021City "CALCULATEDSQMILES AREA" # "Square miles (United States)" # "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDACREAGE AREA" # Acres PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes SDE.CREATOR.c2022City "CALCULATEDSQMILES AREA" # "Square miles (United States)" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.0.0'><FeatureDataset>SDE.CREATOR.c2023Entities</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e68786639373648525831355879726a712f4a4b57732f5662554951526e424e5a736a7958477a594b4c3239453d2a00;ENCRYPTED_PASSWORD=00022e685a78307442724a70667132726a616d444e4b5952526d44426a704853626264544d7056576f504e686c6d733d2a00;SERVER=gisdb;INSTANCE=sde:sqlserver:gisdb;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gisdb;DATABASE=SDE;USER=creator;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>SDE.CREATOR.c2023City</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>RecordedAcres</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.0.0'><FeatureDataset>SDE.CREATOR.c2023Entities</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e683551697851696f2b4d573257755a642b6e36502b50396d6142592f63382b5a7532564a4b6974594d6f734d3d2a00;ENCRYPTED_PASSWORD=00022e685136575945677843615a2b4f57594c79733342584a69584343794f592b474b4e346e394b335a7752625a593d2a00;SERVER=gisdb;INSTANCE=sde:sqlserver:gisdb;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gisdb;DATABASE=SDE;USER=creator;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>SDE.CREATOR.c2023City</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>RecordedAcres2</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>4</field_scale><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.0.0'><FeatureDataset>SDE.CREATOR.c2023Entities</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6838674639665a2f7374452b4e444179533373557a52552f585a38374a4268337a34652f4c36537939704a343d2a00;ENCRYPTED_PASSWORD=00022e68505272426c504559513466435769532f395a4c35424841666a4a75335141764b61543350745733455049453d2a00;SERVER=gisdb;INSTANCE=sde:sqlserver:gisdb;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gisdb;DATABASE=SDE;USER=creator;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>SDE.CREATOR.c2023City</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>RecordedAcres</field_name></DeleteField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.0.0'><FeatureDataset>SDE.CREATOR.c2023Entities</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6838674639665a2f7374452b4e444179533373557a52552f585a38374a4268337a34652f4c36537939704a343d2a00;ENCRYPTED_PASSWORD=00022e68505272426c504559513466435769532f395a4c35424841666a4a75335141764b61543350745733455049453d2a00;SERVER=gisdb;INSTANCE=sde:sqlserver:gisdb;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gisdb;DATABASE=SDE;USER=creator;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>SDE.CREATOR.c2023City</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AlterField><field_name>RecordedAcres2</field_name><new_field_name>RecordedAcres</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "International Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA_GEODESIC" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDACREAGE AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes "FBCAD City Data" "CALCULATEDSQMILES AREA" # "Square US Survey Miles" PROJCS["NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-99.0],PARAMETER["Standard_Parallel_1",28.38333333333333],PARAMETER["Standard_Parallel_2",30.28333333333333],PARAMETER["Latitude_Of_Origin",27.83333333333333],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateGeometryAttributes Jurisdictions\SDE.CREATOR.c2023City "CALCULATEDSQMILES AREA" # # # "Same as input" CalculateGeometryAttributes Jurisdictions\SDE.CREATOR.c2023City "CALCULATEDSQMILES AREA" # # # "Same as input" CalculateGeometryAttributes Jurisdictions\SDE.CREATOR.c2023City "CALCULATEDSQMILES AREA" # "Square US Survey Miles" # "Same as input" ExportFeatures "FBCAD City Data" "Z:\2023\ArcPro Projects\GIS Certified Data - Parcels and Shapefiles\GIS Certified Data\2023 Certified Data\FBCAD 2023 Certified GIS Data - Parcels and Shapefiles\Entities\Entities.gdb\City" # NOT_USE_ALIAS "CityName "City Name" true true false 50 Text 0 0,First,#,FBCAD City Data,CITYNAME,0,50;EntityCode "Entity Code" true true false 50 Text 0 0,First,#,FBCAD City Data,ENTITYCODE,0,50;Contact "Contact" true true false 50 Text 0 0,First,#,FBCAD City Data,CONTACTTAXCOLLECTOR,0,50;ContactPhoneNumber "Contact Phone Number" true true false 50 Text 0 0,First,#,FBCAD City Data,CONTACTPHONENUMBER,0,50;MailingAddress1 "Mailing Address 1" true true false 50 Text 0 0,First,#,FBCAD City Data,CONTACTMAILINGADDRESS1,0,50;MailingAddress2 "Mailing Address 2" true true false 50 Text 0 0,First,#,FBCAD City Data,CONTACTMAILINGADDRESS2,0,50;MailingAddress3 "Mailing Address 3" true true false 50 Text 0 0,First,#,FBCAD City Data,CONTACTMAILINGADDRESS3,0,50;MailingAddress4 "Mailing Address 4" true true false 50 Text 0 0,First,#,FBCAD City Data,CONTACTMAILINGADDRESS4,0,50;StateCode "State Code" true true false 50 Text 0 0,First,#,FBCAD City Data,STATECODE,0,50" # CopyFeatures City "Z:\2023\ArcPro Projects\GIS Certified Data - Parcels and Shapefiles\GIS Certified Data\2023 Certified Data\FBCAD 2023 Certified GIS Data - Parcels and Shapefiles\Entities\City.shp" # # # # ExportFeatures City "C:\Users\ashbujos\Documents\ArcGIS\Projects\FBC Parade Map\FBC Parade Map.gdb\Cities" # NOT_USE_ALIAS "CityName "CityName" true true false 50 Text 0 0,First,#,City,CityName,0,50;EntityCode "EntityCode" true true false 50 Text 0 0,First,#,City,EntityCode,0,50;Contact "Contact" true true false 50 Text 0 0,First,#,City,Contact,0,50;ContactPho "ContactPho" true true false 50 Text 0 0,First,#,City,ContactPho,0,50;MailingAdd "MailingAdd" true true false 50 Text 0 0,First,#,City,MailingAdd,0,50;MailingA_1 "MailingA_1" true true false 50 Text 0 0,First,#,City,MailingA_1,0,50;MailingA_2 "MailingA_2" true true false 50 Text 0 0,First,#,City,MailingA_2,0,50;MailingA_3 "MailingA_3" true true false 50 Text 0 0,First,#,City,MailingA_3,0,50;StateCode "StateCode" true true false 50 Text 0 0,First,#,City,StateCode,0,50;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,City,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,City,Shape_Area,-1,-1" # Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet <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/3.1.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&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;,1968500.0],PARAMETER[&quot;False_Northing&quot;,13123333.33333333],PARAMETER[&quot;Central_Meridian&quot;,-99.0],PARAMETER[&quot;Standard_Parallel_1&quot;,28.38333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,30.28333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,27.83333333333333],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2278]]</WKT><XOrigin>-126725700</XOrigin><YOrigin>-77828800</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102740</WKID><LatestWKID>2278</LatestWKID></ProjectedCoordinateSystem> 150000000 5000 ItemDescription 20090924 Glen T Whitehead Fort Bend Central Appraisal District Chief Appraiser 281-344-8623 281-344-8632 8:00am to 4:30pm Monday through Friday Central Standard Time mailing and physical address
2801 B F Terry Blvd
Rosenberg Texas 77471 USA None The layer is created by the Fort Bend Central Appraisal District; the data appears to represent the boundaries of the cities and was not produced using information from an on-the-ground survey conducted by or under the supervision of a registered professional land surveyor http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 20230911 Complete paper Dataset copied. Server=FBCADSDE1; Service=fbcad_esri_sde_sde1; Database=sde1; User=creator; Version=sde.DEFAULT Metadata imported. \\fbcadtips\Company\Department\GIS\Metadata folder\Template.xml 20090325 14293600 Dataset copied. Server=fbcadsde1; Service=fbcad_esri_sde_sde1; Database=sde1; User=creator; Version=sde.DEFAULT 20090914 09065700 Dataset copied. Server=fbcadsde1; Service=fbcad_esri_sde_sde1; Database=sde1; User=creator; Version=sde.DEFAULT 20100817 08292900 Dataset copied. Server=fbcadsde1; Service=fbcad_esri_sde_sde1; Database=sde1; User=creator; Version=sde.DEFAULT 20110802 14111900 Vector Simple FALSE 0 TRUE FALSE Downloadable Data Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.3.41833 Cities 2912987.692127 3104848.605731 13847949.479217 13699454.434967 1 -96.033754 -95.41726 29.793116 29.370129 1 City Limits of Richmond and Rosenberg for use associated with planning around the Fort Bend County Fair Parade 2023. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Field Description</SPAN></P><P><SPAN>CITYNAME name of city in proper case</SPAN></P><P><SPAN>CITYNOTES specific information related to the city boundary</SPAN></P><P><SPAN>ENTITYCODE Orion code with alpha numeric combination (alpha is capitalized)</SPAN></P><P><SPAN>CONTACTTAXCOLLECTOR the tax collector name as identified on the Entity Mailing List (proper case)</SPAN></P><P><SPAN>CONTACTPHONENUMBER (area code)-first three digits-last four digits (numeric only) as identified in Orion</SPAN></P><P><SPAN>CONTACTMAILINGADDRESS1 the tax collector name as identified on the Entity Mailing List (proper case)</SPAN></P><P><SPAN>CONTACTMAILINGADDRESS2 the primary contact name as identified in Orion (proper case)</SPAN></P><P><SPAN>CONTACTMAILINGADDRESS3 the alpha numeric address as identified in the Entity Mailing List (proper case. No additional characters)</SPAN></P><P><SPAN>CONTACTMAILINGADDRESS4 the city, state and zip code as identified in the Entity Mailing List (proper case, comma acceptable, dash for additional zip code acceptable)</SPAN></P><P><SPAN>CONTACTACTUALADDRESS1 not required</SPAN></P><P><SPAN>CONTACTACTUALADDRESS2 not required</SPAN></P><P><SPAN>CONTACTACTUALADDRESS3 not required</SPAN></P><P><SPAN>STATECODE eight digit code (format xxx-xxx-xx) as provided by state comptroller https://comptroller.texas.gov/taxes/property-tax/county-directory/fortbend.php</SPAN></P><P><SPAN>EXCEPTIONENTITIES not required</SPAN></P><P><SPAN>EXCEPTIONENTITIESNOTES not required</SPAN></P><P><SPAN>ACCTDATEENTERED date of last update</SPAN></P><P><SPAN>ACCTDATEENTEREDNOTES latest documentation number affecting boundary (instrument number, ordinance number)</SPAN></P><P><SPAN>ACCTDATEENTEREDUSER individual updating record</SPAN></P><P><SPAN>ACCTDATEVERIFIED date of review and approval</SPAN></P><P><SPAN>ACCTDATEVERIFIEDNOTES specific notes related to the approval of the record</SPAN></P><P><SPAN>ACCTDATEVERIFIEDUSER individual reviewing and approving data</SPAN></P><P><SPAN>CALCULATEDACREAGE GIS calculated acreage</SPAN></P><P><SPAN>CALCULATEDSQMILES GIS calculated square miles</SPAN></P><P><SPAN>IMAGES not required</SPAN></P><P><SPAN>RECORDEDACRES acreage as recorded by document for the full boundary of entity</SPAN></P><P><SPAN /></P></DIV></DIV></DIV> Richmond Rosenberg Fort Bend County Fair Fort Bend County Fair Parade Parade Route HSEM 1 -96.033754 -95.417260 29.793112 29.370129 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset 002 Server=fbcadsde1; Service=fbcad_esri_sde_sde1; Database=sde1; User=creator; Version=sde.DEFAULT ArcSDE Connection SDE Feature Class File Geodatabase Feature Class 0.000 GCS_North_American_1983 NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet coordinate pair survey feet 0.000109 0.000109 North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Explicit elevation coordinate included with horizontal coordinates 1.000000 NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet EPSG 6.11(9.0.0) 0 Cities Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. CITYNAME CityName String 50 0 0 ENTITYCODE EntityCode String 50 0 0 Contact Contact String 50 0 0 STATECODE StateCode String 50 0 0 ContactPho ContactPho String 50 0 0 MailingAdd MailingAdd String 50 0 0 MailingA_1 MailingA_1 String 50 0 0 MailingA_2 MailingA_2 String 50 0 0 MailingA_3 MailingA_3 String 50 0 0 SHAPE Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. Shape_Leng Shape_Leng Double 8 0 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. /9j/4AAQSkZJRgABAQEAkACQAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCARfBaMDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAoorI1TxJZaTIIHdp7sjK2luu+U++B0HucD3oA1vwo+orkbq61jVz t8waPbZ5WMh5z90/e6Lzkd6WHUNT0Jv3vmaxYgdQB9oj/lvH6/WsvaRva5j7aF7XOuoqjpuqWusW ouLWZZUPBxwVPoR1B9jV6tTYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigBKCaK5688Y2iSvBYo+p3S9Y7bBUcgEFz8oPPrS23E2lqzoO1Ym oeKrWzuGtoFkv74dbe2wxX/fPRPxNZM0Wp6zzqNz9lt+9nYsVz7PJ94/RcD618xf8FIPGeufCf8A ZZu9V8Gatd+F9Rj1WziW70uUwSBWYhhuXnnHPrWDqq/LE5nWV+WJ9PSrq+qsGu7z7BBz/otifmwQ fvSnknnsAOKsWGn22mxlLaBYgxyxHLMfUk8k+5r8wvEX7UXxK+PWj/BL4J/CPxLfr41vdF0/UPFX iuC5bzYHNujOJJRyAgYySHOSxRB825T9j+M/2gPC/wCy3Y+F/Autt4z8deIW0z7QstlYy6pfXSI2 155mzwS+eM4HQYAFYT53uzmqe0lu/kfQFFfNGm/tz+APiF8I/H3ibwVNq97rHhezZ7rRP7Mb+0bd 2JSN/IPDqr8sQSFCnOOh8H/ZD/4KMatr/wALdav/AIn6L4q8T6nZ3l5cNrPh/wAPp9ggsobVJSkk iFEV12ytg84ZOeRWfs5WuZezlZux9+3WjpJdC8tZXsL4cfaIf4h6OvRh9fSrdn4qktHSDWoRbOzb FvIzmBz2yeqE+h4968Lj/bU+G0v7OcnxqFxqH/CJRz/ZWt/s6/bRN54h8vyt+N2SG+99w5r1T4d+ N9P+Knw/0PxVYWd3baVrdml7bwalCqTGFxlC6AsBuUhhyeCKuM5099jWFSdPfY9E3BgCDkHkGncN XGQ2t5obNJpLq0Octp8xPln12N/AfzHtW3o/ia11WRrf5rW+UZe1m+Vx7j+8PcV2RqRlsd0KkZrQ 2aKKK0NQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI2kWNC zEKqjJJOAB61zs/jKGV2j0u3fVZFOC0Z2RDrz5h4I47Z/pT/ABB4QHiKeN5tRuooUwRbLsMRI7lS pB/HNV5vC9/DC5i16dFRflU20PGB0+6KmXN9kiXN0K81jeaxzq11vhP/AC5WpKQ/Rj95/wAcD2rQ hhjt4ljijWKNRhUQAAfQCqujXbX2kWVy5BklhR2IGBuIGf1q7XmSlKT948mcpSfvMK+Nf+CsvP7I N+P+oxY/+htX2VVe6srfUITDdQRXMWc+XMgdc/Q0ovlaYoy5ZJn42W/gPxB+wzZfA/8AaG8FC61D wz4i0WzTxDYyPkebNEsk0LHHEcq/NGTna8XP8IPuX7UH7Ymv6z8aPhxp+i/ES5+GHwW8TaPHqR8Y 6bpouJ5yRKWQttZlZHVYii4KM5ZwRgD9H5NNtJrMWklrC9qoAEDRgoAOg24xxTP7H0/7Klt9htvs yNuSHyV2Kc5yBjANbe0Td2jf2ybvJan5U/sJ2i+IP2mf2h7XRtY1LxTHqHhrUEtNV1eNorvUDJNG ElkVlUhnLZ5APzV2/wDwSp+LHgjQPhvr/wAGvFN79h8a6t4jvCmgXtpKGuIms4UdCdu0EeRMGViC Me4r9Io9OtLa6kuYrWGK4l/1kyRgO/1IGTSjT7Vbs3YtoRdkYM/ljfj03YzSdTmurEyq811Y/EJv hj4vt/jZc/siLLL/AMI1N48TVA+T5gthAf33uDaFZMeqV+3mm6fbaRp9rYWUCW1naxLBDDGMLGig KqgegAAr5u+E/wCx9e+Df2qPG/xs8TeJ4PEmqa2ksOnWcdm0QsImZFUbi7bisMaRAgDgt619N0qk ua1gqz5rWCqmoabb6lGqzpll5SRTtdD6qw5Bq3RWV7ao502tUUbbVtS0Pal7u1Sy6faIk/fx+m5R 94e459jXRafqVtqdqtxazLNC3AZT39D6H2rLrNuNIK3DXdhO+n3pOTJHykns6dG/n711Qr9JHdTx HSZ2VFZGg6yNT0i2up2jhmkX50DYAYEg9ee1a9dp3hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRSUALTeKoajrVlo8e+8uo4fRWOWbPTCjkn6CsS/8AGLSWVwtnp2oi6aJvJd7bCh9p2k5Pripb S3E5JbnWUmBXDaXeXugajcfaItR1VbiKHEisrBXUMH4ZgFzleldDoWvLrjXSfZprSW3dUeObbnlQ w6E9jRGSlsTGcZbM2aKKKosKY6iRSpGVYYNPooA4rT9D8Q6dp9vaRJprrCgQO80mWA6HGzirR0zx CVGDpqN3+aQj+QrqiaAay9lDsY+xhvY5SbTfEMcZZG02VwM+XiRc+wOa83+OH7RHhr4AfC3V/Gni VZ40091thpkePtE90+fLhXJx82Cd3TaGbtXuVfm9/wAFePDmq+KPgTB4gsYpJtO0nxNAl15YyEiE E0QlbHGPNk2Z9XAqJU4aGcqMNOhn6P8A8FAP2iNd8Nnx9p/7PH274d4M6zQTTm4eAE5dXxllAB+c QleCeldz8cv+Cg2t+HfFngbwL8LPAX/CY+PPE2k22rtZXMx2Wizw+ckOFwXcRguzFlVVAPOTt7/4 N/tkfBKz/Z58K6zL480HRLbTdGtoLjSZrtFvLWSKFUaEWwPmMQVIAVTuAyuRzXyi/j3QfDH/AAVf 0fxtrt7DoXhbxJoVrfaZfaoy28UcM2kLHEWZjtTLoydcbjisUk2/d2MFFNu8dj6c/ZC/bal+P+re MPCPjXw2vgbx14TVpb+zaUmFokfZK/z8xmN8KwYkfMpBOSB5i3/BQj4p/GbxRrFt8APg43jHw5pM /wBnk1zVJGjSc9iBujWPI5Cly2CCQM4rwv4ctN8Vv2tf2uNd8ES/2lp9x4L1+2tLyxO+O4mkWKOH Yy8NveNmUjrtyK8F+H/g7wtP+yH4g8aR/GG/8N+OdA1Qmy8Hx6isSTM5hAkihDCQu6k/vFyB5WDw vF+zje/oaKnG97dj9z/Buoarq3g/Qr3XbBdK1y5sIJr+wRty21w0amWIHJyFYsucnpWySFBJOBXh P7DvjrxF8Q/2Ufh/4i8X3E1zrlxZzLPd3R/eTRx3EscUrk9S0SIxY9c5717JZ2sniyQSPui0RDwO Qbs//G/5/SsFTcpWRzRpuUnFBYa/aajdNDEzhsFo2dCqzKDgshP3gD6Vp1c1TQ7XVdPW1dPKWPBh ki+VomHQr6YrBiurjT75dP1MqJmH7i4UbUuB3wOzeq/lxV1KPLrE0qUOXWOxpUUUVzHIZreG9KZn Y6basznLEwqT/Kk8KNP/AGpcJZSvJosI2Hzn3jzfSI9do75OM9KRLW68SXd1bRzLb6ZDKIZWjB82 T5QWVW6AZIB78GustbWGyt44II1ihjXaiKMACu+jCS1bPSoQkvekyxRRRXSdYUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFJQBlap4jsNIZY55/wB+/wB2CNS8jHjgKOc8isibUNX1fiMf2NaHucPcsP1VP/Hj 9Kp+F7OO3sZJNi/aHuJ/MkxyxErDr+A/KtmuKpWd2kefUryu4xKFjotrYyeaqNLc4INxOxeQ5JP3 jz3q/RRXK23qzjbb1YVQ0fULfT/EGsJc3EVurpBIvmyBd3Dg4yf9kVfrP1qxgutPuzJFG0nkOodk BI4NaU5ckrmtKXLK51ysGUEHIPINOrO8Pt5mhac2d262jO7Oc/KK0a9M9cKKKKACiisXxZqM2l6F Nc2zBJleNQxAON0iqeD7E0AXdW1AaXpl3eMMiCJpMHvgZxXIf8I3Zat4TbRdasoNTsry3aK9tLyI SxzhwTIrq2QwJJyDU9xpuoX0IhvdWe6t96u8ZgRd4Vg20kAccVqVwVqilZRPNrVVKyifMkf/AATZ /Z2h17+1R8PkLh/MFq2pXbW27Of9UZduP9n7vtXoHxe/ZR+FXx00nSNP8YeELW9i0eEW+nSWryWk lrEAAI0aJlOwADCHKj0r1yiseaXc5+eW9zzz4M/AHwD+z7oVzpPgLw5BoNrdOJbl1keaa4YAgGSW RmdsZOATgZOAMmvNPEX/AATz+AHirxhL4kv/AIf2/wBvmmNxNDb3lzBbSyE5LGBJAgyeoAAPcGvo 6srZL4mupLO1kaKwhO26uk4LnvEh9fU9s4q4c0paM0p885e6ytpGi2mpQQaVp1tHY+G9OVbcQ2yK kThAAsKAcLGoABwMcYFdzGixqFVQqqMBQMAD0ptraw2NvHBbxrFDGu1EUYAFTV3xioqyPThFQVkL VLVNLt9Xs3trpN8TfgVPZgexHrV2irLOMjmudHuksNSbfvbbbXmMLN/st6P/AD7UTST6xeNptg7R 7f8Aj6vE/wCWI/ur/tn9OtdPfWMGpWz291Es0L9Vb9D7Gm6bpttpdqkFpF5ES5O0EkknqSTyT7ms PZR5uY5vYR5uYdpunwaXZxWtumyCPhV/Uk+pJyc+9XKKK3OkKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooA4+38PazY/aY7e4sfJeaSVGlRy3zMW5AI6ZqZdH8QMpDXunR+hS3kP83rqM+9LWfs43vY ydKDd2jlj4d1pkH/ABObdG77bHP85Kf/AMI1qjbc65jHXZZqM/mTXT0Uezh2D2UOxzI8L37Plteu Nv8AdW3iH81NI3g+SZXWXW9QdHBBVREvX/gFdLxRxT5I9h+zh2ILGzTT7G3tIs+VBGsSbjk4UADP 5VZooqzQKKKKACsDxwQvhi8ZhkKY2/KRTW/WB46YL4T1NiN22Pdj6EGgBKKKyf7eEksyQ6dqFyIp DG0kMG5dw64Oa8lRctjxYxcnojWorDmt5PEmpaZDNpl7BaRyvJLJMpi2/u2C4IOc7iKuTaDrcP8A odveRz20nyi8m4nhXvkAYc+h4561sqMmrmyw82rkc0k+sXrabp8jRbf+Pq7Uf6lf7q/7Z/TrXV2N jDptnFbW8axQRLtVVHQVFpel2+kWaW1qmyJfxLHuxPcn1q9XZCCgrI76dNU1ZBRRRWhqFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVi+Mg W8J6vgZ/0WQ/+OmtqsvxQpk8N6sq8s1pMB/3waAKETGSJGPVgDWbpl5qWifbok0trxJbp5kf7QiD a2Ox96u6fltPtiTkmJf5CrFeXGbpvQ8eFR022ifQdeXW45w8S21zBIY5IPNDsvAOeO3P6VsdM1ym h263Hiy+ukVQtvbrAzKvLOxDHJ74Cp+Yrq69GL5ops9WEnKKbFoooqywooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqlq1u91pd7BG MySwuijOOSpAq7RQBxGn/wBt29nbwSaHIGjjVS32qLBIAH96rCwa/eMYxZQaaO9xNMJsD2RcZP1I Fdd0o61j7KG9jD2ML3sZ2i6Omi2hhSWSd3bzJZpTlnfABJ/AD8q0qKK2NwooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooqNpo4+HkVT1wxAoAkoqtJf21uwEk8UZYbgGcDI9aih1iwupFihvbeaVuiRyq xPfoDQBeooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKAMDxVdP9lt7CBnS4vplhDRthkj6yMPooI+pFVY21Xw/tCltX05eCrf8 fMY9j0kA98H603RZjreqXesE7rfJtrL08sH5nH+8w/ICt2vKrYmUZ2jsgE0vWLXV4DLazrKFO116 MjejKeVPsavda57UtDivphdQSyWN+o+W6g4bjoGHRl9jTIvEU+lMINai8pf4dQhUmBv97uh+vHvX VTxEKmmzA6Wio1kWRQykMrDIYHII9akrrAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigBvtXnt5p8d94i1n7T5r7ZlVV85gApjQ4wDjvXofvXDTxlfFGuE/xPCR/36Uf 0reik5pMyqNqOhTk8N6ZIAHtEfHTcSf60q+G9LXGLC349Ywa0qK9Pkj2OPmfcx7Hw3FDIGujHeeW nlQK8QxHHvZgOc8/MfwwKmks7W11TR3jhjhP21BmNAM5DDHA960qp6g/l3GlNjP+nwD83A/rWU4R jBpIuMm5K539FFFeUdwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRXJ+MfENxpd5p8NrwFdbi5PrCJFQqPqX/Sn33idr5Wg0h43Byr6hKSsEXb 5TjDt6AHHqahyUVdsDTt/EVhc6tNpsdwpu4+q9iR1APcjIyOozVPxdeSNZx6battvNQbyQV6xx/8 tH/AcfUioI9D0660eGzgk3pA2UuIZB5iSDkuG/vZ5P1qzp+jrY3Et1JcTXt3Iqo09wVLBR0VcAAD JJ+prhli48rstRl23t47W3jhhQRxRqFVF6ADoKlooryBBTWUSKVYBlYYIIyCKdRQBiro9zo7CXRp RHH/ABWM7Ewt/u9Sh+nHtV/TPEdvfTfZZ0awvx1tZiMn3Q9GHuKt1U1LS7XVrfybqFZVByp6Mh9V PUH3Fd1LFSjpLVAbNFctHc6toLES79Y0/syr/pMX1HSQD2+b61uabqlpqtsJ7S4WeI91PI9iOoPs ea9WFSNRXiwLtFFFagFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWXqviCw0Yot5ceU7gsqK rMxA6nCgmtJq5LxVuXxJphx8rW065+jRn/CqhHmkkTKXKrlz/hPtH25SW4k5x8tpL/8AE0jeOrDI C22oSA/xLZvj9RVCiu76qu5z+2fYtyeOYlRzFpmoysvRfJCg/iTWTbrcTX15f3SxxS3RT9zGxYIF XAG4gZP4VborSnRjTdzOVRyVgooorpMgqjqzeX9hfGdt7bt/5FWr1VdTgluLTbAFMqyRyKHOASrq 2CffFZzV4tIqOkkd5to+lce3iPXmbiz05V95pCf/AEEUQ+JtWTUrKK4gsvs9xMIT5RfeuQTnnjtX lunNK7R3c8Xpc7GiiisiwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAwfFOh/21Zq0aI95bndEsh+RwSN0bezAY/I9qwoba31DVhf6pZ/Y9JhtlXydTwk UcpP8Cn5TxkEn1GK7rrXKeML60hv9HgvpI4bXzHuJGmICnYuFX3OXBwPQ1jNL4uqAb4d+zyatrE2 nvH/AGczxpGsBHlFwg3suOO6jj+7XQVW0+a1uLOKaz2G2kG5DGuAffFWa8KrPmm5WAKKKKyAKKKK ACiiigArKvtBS4uPtdrNJp9+Bjz4MYf2dTw4+v51q0VUZSg7xYGVD4jl09o4dah+zMx2LeR827nt k9UJ9Dx710KsGUEHIPINUJIkmjaORFkRhgqwyCPcVjLpV5oe99FkTySdx0+4JMR9djdUPtyPYV6t LFJ6T0A6qisfSvEdtqU/2Vw9pfqu5rS4G1wPUdmHuK2K7731QBRRRVAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAi9K5Lxev8AxPtDfjAS4X8wh/oa60dK5Xxlt/tXQyfveZMo/wC/ef6VpT+NET+FleiiivZP PCiiigAooooAKKKKACql98t5pLbtuL+HvjqSMfrVuqOqbVbTnY4CX1u3/kRayq/Ay4fEj0GiiivH PQCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqFoI 5GR3jVnTlWZQSv09KmooA5CN5/Cam1ngmu9PyxtpreMyOo5Yo6j05w3QjritmxvItRs4LqEkxTIH UkYOCK1GAYEEZB4IrnU8E2kMaRx3upQxINqRx3jqqjsAAa4KuFU3zR0YGtRWc3g2xkOXn1Bj6tfS n/2aiTwRpEhy8Vwx9WvZz/7PWH1J/wAwGjRWH4ZRIP7Ut493lQXrxqrMWwNqnAJJOOa3K4Jx5JOP YAoooqACiiigAooooAqajpltqkapcxb9p3I6kqyH1VhyD9Kz47vVPD0ZEqyaxYKf9cuPtMa/7Q6O B6jn2NbdFdFOtOntsAtjqlrqluJrWdLhOhKHofQjsfY1crnLzQUluGvLSZ9O1AjBuIQMP6B1PDj6 8+4ot/EkunyRwa1D9mdjtW8j5t3PbJ/gJ9G/OvWpYiNTTZgdJRRRXUAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRUU0yQxl5HVEHVmOAPxpVkWRQy kMrDIYHII9aAJKKKKACiiigAooooAKK5vxrcSw2NmsNxLbGW7jjZ4W2tghuM/lWE2ls+4PqOpSBu oa9kx+QNawpSqK6IlNR3PQK5Pxlj+0tCO5c+dL8ueT+6bn/PqKyP7BsyWJEzbuu65kOfzapbXR7K yuDPBbrHMRtLjrj/ACK6IYeUZJtmMqqaaRcooor0DlCiiigAooooAKKKKACs/WmVLOORhkJcwNx/ 11WtCs7XmCaXIzDIV42/J1NZ1PhZcfiR6JRRRXjHoBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVK51iws932i9t4NpwfNlVcH8TQBdorCfxtoilguoRzFe ot1aX/0EGoz4vifcbfTtSuQOhS1KBvcF9tQ5JbsDoaK5yTxBqe0uuiGJBzuuruNAOnXbux/9as64 8VX8KkzX2hWffa07Stjjt8uT9Kn2se4HZ0fjXAt4kuLhcJr7Su2Nq6fpbOSfQE7gaGt5L5QHtPEG pHrtmlFuhPHUbkx19Kn2i6JsDa0cGPVNfjKgAXgfj3hjNa9c9p9hq1mJVs9IsbMOdxNxeM7MegJI Q9u2e1XPJ8Rsq5XS42zz80jDH5CvOqYedSbkluBq0VlCy8RszA3emRr2K28jEf8Aj4qnfXGp6BcW M1/fRXNlLIYpVhs2XZ8jEHO5j1AHTvWbwtRK4HQ0VjL4mhm/497HUbpezR2bhT+LAUq6rqdxzBoN yF9bmaOP9NxP6VkqFR/ZA2KKyVHiOY5Frp1qvpJO8jD8lA/WnDSNclO6XV7eD/Yt7PP6sx/lWqwt QDUorMHhaZ/muNa1GVu4jZIl/JVH86I/BenZDTG7u2/6eLuR/wBN2DWqwcurAl1DWLLS4y1zcRxk dEzl2J6AL1JPoKoppd34k+fU0kstNypSwbbvlxzmUjOB/sg9ua19P8PaZpLbrOwt7d/76Rjd+fWt Kuulho03d6sBFUKAAMAcAU6iiuwAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAo6hq1lpSo15dw2oY4XzXC5+mazn8caCrbf7Vtyf9ls/yrD+Il0tjqWh3DRr Mu6WLyycE7jGMjjqPSrFdNKj7RXuYzqcj2Mnxd4i0rUtWsB5xvbRY5BJGkbsu7KFSRjB6H8qt+BP EdrHcTaXvdIWfdaeajKOesYLemMge5q3UN5ZxX0JimXch564II6EHsa3eH93luZe11udxn2o69q4 3TPEk+iyJbatL51oQFjvyOV46S//ABX51pTeNtLjuJIVeeeSNtp8i3eRc+xAwa4XGUXZo6VJNXR0 G2jbXNjx1Zbtv2TUT7/Y3A/Wj/hOLbdtGn6k3v8AZ8D9TRyy7BzLudLRXLt46TcVXSNSc9j5cYB/ N6im8eG3t5J5dGvEijBZmLxcAe2+jkl2DmRP46QtY6eR/DfRE/qP61Sq947YrpdmR/z/AEA/8fqj XdhfhZzVt0FFFFdpzhRRRQAUUUUAFFFFABRRRQAVl+JpfJ0K7fIBC5Ge5yKvXmTZzhfvbGx+VXfD fhTRrjw/pk0umWsksltFI7NECSxUEk/jXLWqcitbc2pw5tTrKKKK8w7QooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigArL1jXE0byA1vcXUk7lI47dAzEgFj1IHQHv2rUrO1bRbXXIYo 7tGdY38xdrshBwR1BB6E0vQDNk8Ralsd49EeNF5DXV1HGMe+N2Kzbrxfex+Z5l5oViRyEkuWmbHu Btz+FbEfgvRFcM2nQzNjG6fMh/HcTmtG30uzs9v2e0gh29PLjVcfkKy5Z/zfgBxp8RXV0rFNdaVm 5VNN0tn/AABO4HqOtBW9u1bA8SXTtyMtHarn/wAdI6131JS9m+smBwTeG7m6Vg2grIz8l9S1N5Of Ugbv09Kt2/hO+jUiO30Ow3DBaG0aVvzJXPfrXZYoxR7OPXX5gc6vhzUmXZLrsyJ3W1t44/yJDEd/ zp//AAh8EgxcahqV0vQrJdsoPTqE2+ldBRVqnGOyAw4/BeiowY6fFMR3nzL6f3ifStC30mys8fZ7 O3gx08uJV/kKuUVoAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUANAzS8UVwH2 GLWNU1d7tp5DDeNEm24kUKoRCAAGA71UYuTsi4xcnZHf8GlrzTxJolra6HdzwpIJoYyyP5zsV9+T XpXUUSi4uzHODg7MWiiipMwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOT8Ybf7U0Ni ed8yj8Y8/wBKgqx4yUC+0KQnGLiRfzib/Cq9ejhvgfqcdb4gor4J/bp+Pvxj8E/tJfDb4c/C7xfb +Gv+EptLeFVurC2nh+0zXbwq7vJBI6rjbnaDwOhNehfDC6+PPwCm8Q+Nf2kfin4a1n4c2GmEFdHs S0tvdPcQrHKVhsYnZdpkXALcuDt4yNvaK7VtieV2ufWbKGUqwBBGCD3qvp+m2+lwtFbR+VGzFyuS eTXl3iD9qz4WeFfhPonxL1TxT9l8Ea1OttYap/Z90/nSESEL5SxGRf8AUycsoHy+4z8y/tPfFnxH a/tvfs76d4c8WaxY+FdejsZ7jT7K+nt7W9jkumwZYQQGymBh1zjg05SS1Eot6H3pRXifxG/bU+Cn wn8UTeHfFHj6ysNahbZPaQQT3TQN/dkMMbhG9mIIr5j/AGwP2grqy/aO/Zr1Twt8QL3T/AGtXlrd X01hqsltp95a/boQ7TgMqMmzcG3jAGQe9EqkYoFFs/QiqesWr32l3dvFjzJI2VcnAyRXmvwp/an+ FXxv8RahoXgjxlZ69q9jGZZrWOKWJvLDBS6eYiiRQSMsmQMj1FYnjr9tz4HfDbxVP4b8QfELT7TW beTyZ7eCCe5EMgOCkjxRsqMDwQxBHfFDlFrV6CSd9j2fWNW1HW7SCBtMS3KzxSmRrgNt2sCeAPb1 71arzH4gftM/DD4W+EdG8U+JPGNjZeH9aGdNv4Vkuo7sbQ2Y/JVywwQc4qP4P/tQfC74+XV1aeA/ GNnrt7bR+dLZ+XLb3Cx5AL+VMiOVBIBYDAJHqKmCjT0THJylq0epVU0uz1rWNPgvIDp8ccoJCuzs RyR2HtXhlr+3p8BbqO6ZPiHaq1vepp7wyWN3HM07EgKkbRB3GRyygquRkjIz9IeA2DeF7TAwFaVQ PpK4/pWNao1blZpThe/MjC1K31XRmsXumtJYZ5xAywq+5SVYg5J6ZHp3q3V3xx/yD7Bt23bfQ/jk kY/WqOKvDycou4qkVF6C0UUV1GAUUVQjur67uLmOx0uS8S3fy3kE0aDdgHGGI7EVEpKKvIpRcti/ RVRbi6i1A2l5ZG1cxeah81XDDOD06VbojJSV0DTi7MRlDKVPIIwaypo9S0fRZEtNYulitYWMUeyM 9ASATtyela1VtTUvpt2o6mJx/wCOmpnCMlqhxk4vQ7LT5GnsbaR/md4lZj6kgZq1Wd4fbzNC05s7 t1tGd2c5+UVo1456AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAN7CuOt ty63ritx/pSsB9Yo/wD61dj2FceihfE+u85LPC2PT90o/pW1H4zej8ZB4o/5F3Uf+uD/AMq7WNxI qsOhGRXF+JFLeH9SA/593P5KTXZWv/HvD/uL/Krr7l4jdE1FFFcxyhRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAVDcMVt5SDghCQR9KmooA8x8Pabatp9jeGLdctGrmRmLHcVwTyepyfzrbrM8M7 v7AsQ3DCMDn24rTr2YJKKsedK9z8wf8AgpF4JsfiV+2t8EvCWpy3EGna5bWWm3MtoyrMkcuoSIxQ srAMAxwSCM9jXcfGb9hHwd+zT+yx8Z7/AMEX/iTV73VNHgS4j1aeCZUhhuopmZRFBGRhVYkkkYFf cWufDbwj4n8Rabr+seFdE1bXdMKmx1S+06Ga6tSrb1MUrKWTDfMNpGDz1roZoUuInilRZI3UqyOM hgeCCO4rP2abbfUv2j0SPxQ+Lf7Q/gnxh/wT6+GHwz03UJ5fGWh6us+oWLWkqpDGovAG80rsbd5y EBWJ65AxXv3x7/5PI/ZC/wCwVpH/AKPNfe7/AAB+GD6PNpTfDjwi2lzXC3cti2hWpgeZQyrKyeXt LgO4DEZAY+prW1D4X+DdW1jR9XvfCWhXmraMiR6Zf3GmwvPYqhyiwyFd0YU8gKRip9m+/b8C/aLo flD4u1ZPgj4o+J/xO+EXxj8JXEGqajcLrPgnxTax/wBrSMbl99ssMiP5yh3Y70ZQV6k4qz8UJrP4 oeLP2Lv7Y8IWfh/TdbkghuvDsUbC08iTVURgiOSRFKh3quSAsgAOBX6j6l8Efh1rGvf25f8AgHwv fa1v8z+0rnRraS53Zzu8woWz75rT174b+EvFWtaVrOteF9F1fV9JdZNO1C/0+Ge4s2Vg6tDIyloy GAYFSMEA0vZPuHtEfnUPAun/AA9/4Krf2F4E0yy8NQ3GgXDW1np8KwW8czaVKQQigKo3qrHAxnmv FP2YtBe/8AfErwD4r+POkfBi4ur2a313w74m8NWdxNfKY1Vn+1XDpJvDBx5aHcjDeuC+a/YBvhz4 Tk8ZJ4ubwvozeLETyl146fCb5U2lNon27wNpK4z0JHSqPir4OeAfHWoLqHiXwP4b8Q36gBbrVdIt 7qUAdAGkQnin7IXtD805vjjL+zz8Hfgt4O+HOv6N4g0zUdY1OCx+JPijQ/Ji05PtoikaCN3k8tAX Z2YnJTHyjNO/Z0vJbj/gp5ZyyeP9J+JFzcafcG78RaDZQ2lpcv8AYWJVVhJRtpCguCdxXJ5r9NNa +GPg7xJ4dt9A1bwnoeqaFbEGDS73TYZrWIjOCsTKVXqeg71W0X4O+AfDeuWmtaR4H8N6VrFpD9nt 9QstJt4biGLaV8tJFQMq7SRtBxg4o9m7rXYPaKz0Pz2/4Je/CbwX8QNa+L+o+J/Cmi+JL3T9YgWz m1axjujb7mnJKCRSFOVU5HPAr9SPAbH+wnjJyYrq4T/yKx/rXG+Efh14T+H5vj4X8L6N4bN+4lu/ 7I0+G1+0OM4aTy1G8jc3Jz1PrW1o2uN4dkvbZ7G6uo3nM0TW8Y/j5bJZgOtY1abUUkXCacm2a3jo D+xoZGz+7vLduP8AroB/WqNVfEXiiW80eeOfQ5zbttJH2pUfIZSuNu45zj8qpaLDq8NmYxo95I/m MyrI4AVSxIXc7AnA9qKMvZ3U9B1I8+sTXopi6br8zYTTraAf3p7rP6KpqUeGtclbD31jbL6xwvIf 1YV0PEU11MvZSG0eGdUtNPvNcW6uYLVftEbBppFQHMS+v0qdPBd1Jj7RrdwRjpbwxx8+xIY0H4b6 RNN5t19pvZCu1mmnI3fXbiuWtWjUVkbU6bi7szNU1qy1LxPDLa3cU8Mdm6u8bgqG3qQCfpn9abNr mnW+fMvrdT6eYCfyrpIfBOhW5UjS7eQqMDzl8z/0LNaVrptpY7fs9pDBtGB5UYXA9OBUQruEbJDl T5nds4f+3LZ+II7q5bstvbSOT+QqRodV1KGWODRriMMhXfdOkQ5Hpkn9K7+ih4ibBUoooaLZvpuj WFpKVMlvbxxMU6EqoBx7cVfoornNgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAz9U1qx0aNXvrqK1VjhfMbBb6DvXK2N9bal4g1a5s5fOgkWHEq/dJCsCB9MVq+NEH2XT5lI WeO9iEZ6H5jtYZ91LflSV00Y3fMdVCN3zFDxB/yAdS/69pf/AEA11WmsW021Y8lokJ/75Fc1qylt KvVHJMLgf98mug0NzJotg56tbxk/98inX3Q8RujQoorD8SXGuW8cH9iWttcuSfN+0NjaOMY5Hv8A lXKcht9KhmuYbdQZpUiB4BdgufzrirPXPE811cWl0unWVzEiSYWJpMqxbBz5n+yfzqte+H7rWNWt 77UZrOZol2Mi2mRIuc4O5jjHYgZ5rSNOUtUaxpylqjvobqG4UmKVJQOCUYNj8qmzXESeG9MYgpZx wOOj248ph+K4q3pN9f6fqltYz3X261uN+xplHmxlVzgsPvDg8kZqpUnFXKlRlFXOtooorEwCiiig AooooAKKKKACiiigAooooA8w07U4rCzjs5lf7fG5j+xqp81iWOMKevHfpWhHeXC3UUF3YT2LTI0k XmlTuCkA9CcH5h1ruWhjaQSNGpdeFYqMj6GuY8XKf7d0RwcAJcKfxCH+lddOtJtR6HPKmkmyGiq8 2oWtrnzrmGLBwd8gGPzqtHrltOypaCe+djgC1hZx+eMfrXe5RjuzmUW9kaNFVZLXX5oPNt9LjQDB EdxOokcZ6ADgHHqaa0l9aajFa39tHA00bSReVLvwFIBDcDnkHj1rNVoSdkynTkldouU1ZEk3BXVi pwdpzg+lEkYljdCSAwIyOvNZuh6KNFjmHmLIXKgFIwnyqMDOOp7k9ya0u7pWJ0sfF/7VH7XvxI/4 X7p3wJ+BthZv4xkVGv8AVbyNJBbs0XnbUD5RVSLDs7BuuAMjm/4I8cftQfAjxFcXnxsuNG8afD+D R7/U7zWtFt0D2jW9s86xkpHDtLlNoLRlSSAGyRXiPxm8RTfse/8ABSKT4oeKdLvLjwR4mg+TULeL eVV7ZIpdvYvHIgJTOdjAjqK9w+IH7ZHgL9qTRfEnwe+F7X/ijWvEnhrVVW9+yyWsEDrZyNGhEqhm ZnCpwAo3Z3Hoebm1d3rfY3torLQ+eY/2uP2rvFHwr13486XqPh+w+HWlamLV9A+xROSpdEyMoZWQ NIis3mq2SSBgHH3Fp/7XPhW3/ZX0r4169/xL9NvNPWY2MbBpJLzJQ2sWfvsZUdQfQFjgA4/NLwj+ 054S8Mf8E8/GXwf1B7q28ez6m0EGmvayANE1xFK8jPjau3ZIpUkNkDjByPcdM/Yr+Nnjb4Ffs+N4 V17QfD0nhawm1Q6b4mMhEV7cXUlzHIYDbTIzLHIg/eDKkEYHNTGUumun4jlFddDpv2Sf2qPjX8Sv 2xNW8F/ES7XSdJ/subU08LrY26fYQ6QywIZRGJSVjlXIds5JyMjA/Q2vx9+EfhP46x/8FFtW0248 aaG/xKtlil8QawsKfZbuyEds0sUS/ZsBjCY1BEacqfmHU/sFW1Jtp37mVRJNWMzxIwXQ7pmzhQGO PZga9GrzvxEnmaDqA4/1Dnn2Ga721lE1rDJnO5FbPrkVy4n4kbUdmT0UUVyHQFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZHiPVZNJ03zbdEkuZJEhiWQ/ KWZgOfbGTx6UAav4UfhXNweNIY4gNRtbqzmXh9sDyx59Qyg5FNm8YfalEelWk11I3/La4iaKFPcl gCfoB+VVyu9rFcrvawvjCRJ7jSbMHMpuRcFR1VEVssfbJUfjS9682+NXi7UfhL8GvHnjaxt11nxD pek3F+nmqdjPHGWUFQciNepAPQHnvX5kfAvxf45/aWtp9d1j9sa48AeNJrp44fC9zNJawtyNm0Ca KLDdlRGx9eK6Y/u1Z7s64fulZ7s/Xy6UNbSqeQUIP5Vo+EZPM8K6QcY/0SIfkoFfCHxK8TRfDXxz +z/4Q+J/xE+JU3xCv2trMSeB9Sit9F1SY3iIrX8b7GdGLIrbVyU3Dk9e117/AIKffB/4T+INa8Fe I7TxNaat4as41lkjsYZIbyULEPKgKzbixEm7MiouEbLA4Bzqyu0Z1pXaPtOiviq+/wCCuHwCs/Be m6+t3r11dXkzxNoMOnqb+224y8oMgiC/MMESHPOMlWA9V8Vftw/CLwf8E9F+KV94l8zw7rSj+zbe 3hL3t1Jlg0Sw5yGUqytuIVSvJ5GcDmPUdQIXxnOAOXsImJ+kkgqzXzf8MP26Ph78Yvi/b+Ff7M8S +CfEl5YA2eneL9MFjLdgMzjysO4OV3EZIztOM1zHjr/gp18Ifhv448YeFNetPE1tqvhud7WTZYxS Jeyq4UpARNn1bMgQYB5zgHtpySgrnfSklFXZ9b1RlX/ipNAckACaVefeF8V8dfGL9vfTvE37HviD 4k/CQa/Hq0d9HpQmOlwzS6LOSJDLdoxeNYSg2CT5xulQdc4d+y/+203in4VeG9c+J2keLNJbR7Gb U9W8eatoaWmiXgV3jC28sWBJIQ6gIkYLbHwCRyVJpxaCpNSi0j73or5A0b/gp98JtQvNHfUtI8a+ GPDes3Bt9O8W65oZg0i6cNtOycSMSAep24X+LGDWt8ZP+CjHwo+A/wAW9S8A+LY9ft7+yskvW1C2 s4prOQPEJY40Ky+YXbIUfIFyeSBlq4jgPqmivA/2Yf20/hz+1lDq6+DZdSstQ0sp9o0zWoEguNjZ 2yKEd1ZSVI4bIxyBkZ98oAKKKKACiisHxjJNDohMEskJaeFGeJirBWkVTgjkde1AG1JIsKF3ZURe SzHAFZl14p0i0yJdTtVbONolUt+QOazv+ER0jcrSWS3DKchrhmlP/jxNaFrY21kuLe3igGMYiQLx +FacpyPELoit/wAJnZSPtt4L687Ew2kmAfQkgCmt4k1Kb/j20Cfb2a6nji/QFj+ladJ+NPlRm8RL oiPQtUm1S3ma4gWCeGZoXWN965AByDgetP1TQrHWvK+2263AiJKbs8ZGDWf4TXZNrqkgn+0Gbj0M cZFdDWR2xd0mZlr4b0qxXEGm2sfGCVhXJ+pxk1cubiKxtZZ5DsihQuxx0UDJ/QVYqC5t1ureWB/u SIUbHoRg0FHGya3qutxoyBNKtGw/7ti87DrjOAFz361mXlvdWd9bTRXU1/czOLaKO8kyq7iCecZ/ g960v7K1jSVMAsf7RhjGI54ZEVmUdNysRz9KzdWu54VhuJbS+042solEz2wkVTyvOCR/F/Ku1ezU fd3OZ87fvbF3SbyW9tWeeNY5UleNlQ5GVYjr+FXKrafamztVjaVpmLM7SMoUsWYsTgdOTU6yKzFQ wLDqAea7I3sr7nO7X0M7xF4X0bxhpcmm69pFjrenSEF7PUbZLiFiOhKOCD+VZ3g/4a+EPh5HNH4V 8K6J4Zjm/wBauj6dDaB/94RqM/jXSUVduojj7z4O+AdQ8TDxHdeB/Ddz4hDiUatNpNu93vHRvNKb 8++a7CiimBzlr8OPCdj4wufFlt4X0W38U3SeXPrkWnwrfSrtVdrThd7DCqME9FHpXR0UUAVtTQSa bdoejROP/HTXU+H5hdaFp8gO7dbxkn6oD/WuTuLid7oWdrafa5TE0rq0ioqoCByT9f0Nafg+zXQr O9FwLewjmnEkcCzKwX5FB56ckGvOxFnaz1R1UbpHWUVFDMk0YeN1dD0ZTkH8alrjOgKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAorH1/WjoraZtjEgu72O0OT90MDz+grYoAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig Djb/AMUahZ69doscb6dZyxpMiRlpdrRhi4OexbpjoK6q1uob63jngkWWGRdyOpyCK5Zsr4p1lSQQ VgYD0+Qj+lQDSZLVnbT9QutP3Et5cbB4gxOSdjAjr6Yrf2TlFOJ0eycoqUTs5JFijZnO1FBYk9gK 477YfEmpx3+JF063B+yK6lfNYjmUg9scLnsSe9ElpqF+u3UNVlljxtMVqvkKw/2iDuOfYgc1ajjt 9OtkjXZBAg2qCcAe1XTptO8jSnSad5E1FZr+ItLRgn26B3PAWNw5/IZoj1xbjJtbHULpccNHauFP tlgBmujmiup0ucVuzlfjp4s1zwN8IvFGveHNB/4SnWbC0M0GjeS832zDAPHsT5jlS3QH6HpX49fH Hxd8APi5oF1Z+Bvgn4v8GfF66kQR6fpeHsRKXG9DCHJIxuAVIYznHTpX7aA61N/qdFMYzgNdXKJ+ OF3VN/Y2vzABrjT7UHrsR5SPcZ2/yrCcoy6nPUnCXX8D8jPGHg3xX4D+In7DWgeOPO/4SOzvLRZ4 bh98kMbaxG0MLHPVImjQjttx2r1T9mvw1a3X/BUT44WE7SSww6HdKrMRux51gmCcf3WI47Gv0lHh O7mUC51u59xaxRxfzDH9aki8EaaBmdrq7b/pvdSMPyBA/SsXKNzFyjc/Gr9k3Q9IuP2I/wBp+W6t rd7mGHEDSY3DbEzLj6MAR71jz+C9Uuv2Tf2afHum6Rca/o/hDWdUm1yzsoDLIkbamJFdlA5UrCyk ngZX1r9ubPwvo9j/AKnTLVD/AHvJUt+ZGa01VY1AUBV9AMVHNpsZ82lrH5RfETx9p/7aH7bXwS1v 4V2upahoXhW4tZ9W8QTWEttDEEuvPaEs6jnahUA9TIQMjJrov2Q9PtNQ/wCCkP7Rq3VtDcr5d8oE 0YcYa8iDDkdwSD6iv0d8ZZ+y6ewxhb6LOffI/rUddNP3veZ00/f959z8av2W/CHiDxd+xT+0ro3h 63a9b7RayfYIIzJNII2EhCKOp2xngcnGK6vw1q9v+0N/wT7f4SeDdW1DVviR4Xs/7UvPCS6dMjGC C++cJJs2SNtlVlQNvJ425r9aqZJPHAAZJFjB6bmAqvZ+ZfsfM/IL4vfFrSfjv+yL8Jvgj4L0zxDr fxP02axtbzw81jMgsWt7d4XkJKhPmZsg5O1WYuVxXf8Aw/8AAieGf+Co3g/w3q0cOpXGl+E7W3uH lXzVkni0cK0g3d9ykg1+nJ1K0UEm6hA/66D/ABp8d1BM22OaN29FYE0KmhKkr7n5ufsQtH4Z/b6/ aNmtbNjYWd9qBa3tQqhE+2ydFyBgZ6Cv1KjcSIGA4YZFcPeLqOuLqun2NpEyInkPPNMU5dM8AKc4 DDvXZ2cBtbSCItkxoqE+uBiuaaSejOaoknoyzRRRWZkcnoXxS8GeJ/FWo+GdG8YaDq/iPTQ5vtHs dTgmvLXY4R/NhVi6bXZVO4DBIB5NYGtfFLwZ4pm1nwvovjDQNX8S6bIjXui2WqQTXlqI7iNJDLCr l02sQp3AYJAPJr4K8Xanafswf8FbrnxBfOLLw34w0CfULiToAhtHL/Um4sc/8Cr5R/ZR8ea94N/a f8MfE3xK32LSPiJdaskt4zHEzM7NJz7XHlUAfttovxO8HeJvFGo+G9J8WaHqviLTQ5vtHstShmvL UKwR/NhVi6YZlU7gMEgd66ivyc/Yd+LVj8Kfhz+0R+094ospb99Q1hbS0to2CyT3EspmeIMc4DPc wZbB2hCcHGK7K8/4KffEDwZpPhXxp4kt/hXrXhHW54xN4c8La80/iLTYnUuGuIzIVVgoORs4bCts JFa8x5sqTvofpjRXwZ8Wv+Cgfin/AIaMvPhR8OYvAehfYbaOeTxF8R7+a1s7pnhjlVIvLZSCVlUL kkscnAFeA/8ABSLxt8WPH37O3gHUfHvh/wAO+HbSPxBNbzQ6bPLO9zcrFKYbi3kyY2tXhJOdxbdj nqA+YUaTuk+p+r3httus+IYwMKLiJvxMKZ/lXRN0r4I8e/tcfEn9kX4SXmsfE7SPCGv+MdYurSz8 O6b4Rku0tnT7OS0lw04LfKAvCdSwHGdwvXf7Znxj+Anxa+Hvhj4/eEfCVponjhxDZap4RnuC1hLv jRknWZmDlGli37MAB8qWxisnuejH4UfdVFfnTq37ePx/1r9ob4r/AAy+Hnwx8O+NZ/C81wtiUaS3 khiilVfNuC9wFl4O3ZHsJZgR0wfcv2Av2vNS/a7+GWsarr+j2ejeItF1AWV3Hpu8W0qsgdJEV2Zl /iUqWb7uc84CKPqSq19Y22pW7W9zCs8LYyjjI45FWaKAMBfA2gIwI0q3z7rkfrWLrmh2Gk63pD2d rDaF1mVvLULu4UjP05/M13Ncf46mjs7zR7udvLgjkkRpCDtBZOMnt0rSm7TREvhYyimxyLKgdGDo 3IZTkGnV7J54UUVRk13TY8hr+2BU4I81c/lmk2luMvUUyGaO4iWWJ1kjYZVlOQafTEVbzS7TUGVr m2jnKjALqDiol8P6YgwNPtfxiU/0q/RUcq3sO7LXgJFh0+/hQKqR3siqiAAKMKcY/GuorgIbS8sJ LhtP1OW1WeTzXjaJJF3EAZ5GRwB37V0fhPULnUtPmN24lnguHhMgTZuAxg4+hry6lOUXdndCSkrG 7RRRWJoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHL+Oty2elTLC05h1GCXZGBuOCeBkjnt+NVbhrnxJ q0Ae11PT7COFxIHl8nc+V28I/PGetafjJf8AiV20uM+Te20mM/8ATVR/WtGvPxVaVP3Y9QMSFtU8 PAbWfV7AH/Vt/wAfMS+x/jA9Dz7mtnS9XtNWhMltKJNp2upBVkPoynkH615v8bP2i/h7+zrpem6j 8QvEP/CP2epTNb2sn2K4ufMkVdxGIY3I47kAVJqnxI8DT/C3/hag8QpZ+FBpg1VfENusg/0UruDG PbuY4OPLKls/Lt3cVnSxEklzq67geqUV4r8D/wBqbwT8ctIvtR8Ma0uvaVY3AtJ9Wgsrm2iWUqGC uk8aMp2kHIBXnrXsscizRq6Mrow3KynIIPQg16aaewEtFFFMAorw79ov9rXwh+zHqvgnTfFOm65f z+LruSzsW0iCGRY3RoVJl8yVMDM6fdDdDx0z7jQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAYeq+GodQuPtUM0lnfbQvnwnhgOgZTww5+vvWNdX F7ogJ1S3D2w/5frXJQe7r1X9R712nBpjxrIpVlDKwwQRkEelaRnKOxpGpKOxxkM134gmaHTGWO2R tsuoNyAe6xj+I+/Qe9bFr4N0q3ZXmtft845M94fNYn8eB+AArZhhjt4hHFGsUa9ERQAPoBUh7UpT cnqEpuW5Hb2sFqm2CGOFf7sahR+lTUUVBmFFFFABRRRQB8F/8FFP2pPiD4J8deA/gn8JrkaX428Y eU8mqKF8yKOacwQxxswITc6yFpMZUIMYySG+Bf2T/wBqD4Q+OPBfiCD9oDUviFpx1ezHiXQdWmla MWLTILnyDcSSK+2MueBG2B8vzYB5X/gph8J/HXhn42fDL9ojwRoVx4lTwotvDqNjbRtI0Qt7l543 dVBby3EsiMwHy4Getdb8P/8AgqNF8bvGvgzwn8PPhZ4mudV1LVbO11u51CEPbaVavMguJQYWYttj LkM4jAxuIIG0gHk3/BVD4tftHeCdQmWzT/hDvhHFrFrDo/iPQdQFvqF9cm0MhSUx3BlCq63GB5aL +7UnJ2k/Sv7QXibxp8Nf2H77xx4Q1DVdT8W2+hWFwJpmE7QiTyRPcFduXKI7vls427jkA5+Uv+Cv v7UXhXxhp7fBOz0/WIvFXhnxBaaneXk8MQsZI2sJSBG4lLlv9Kj4KAcNzwM+j+Kf2ltc/aa/YH8S xfAuw8UWXiDwxFp2l6qohSO8mgEa+f8AZfJldiMLzjaxXcAOad2thptbHyHa/Fj4qQeCfAnjPwd+ 0ZrnxD8e67qgs7r4cb7mae1fDsMwvIyyodoUlY1HzjaTgkftlofhPT30u0m1DRLOLUpYI2uYSomV JCo3KC2cgHIz3xX4T+ItZ8B/ET4e/DPwt8JPhP4s0H4+aM9tb6jqml7wLp44yHlARy/mNLtk3FEK DI3EAV+7vw/t9btfAfhuHxLKs/iOPTbZNTljIKvdCJRMwxxgvuPFFwu+pfj8N6RF9zS7JM9dtug/ pWDr2l2tnrmiSW1tDb5Myt5UYUn5OOg9q6/0rmvFit/amgsOnnSg/wDfpj/Sqh8SKh8SDwnJnUte TH3biM5+sKf4V0p71zHhdj/bWuKRgboXH4oR/SunPelP4mEviY6iiipIPgH/AIKk/sh+PP2iH8Ba 58NdCOt65pYu7G/jW+t7Vvs0gRkO6aRAQGEgwCT+86Yrgf2lv2DfGl/+xL8EfDvhTQ1vPHXgndNq Nml7bwmH7UjT3hEryKjFLhYx8rHPUZr9PK4D4ofEzwb4RtG0PX/FeiaLrOrW8iadpuo6lDb3N45+ VVhjdg0hLkKAoOSQKAPknwV+wpqesf8ABO+3+DesGHw740umfVpZXkWaKG/+0GSNXaIsGXywkZZS 2BkjOMV5r4V+APxh8M/DWy8DN+yd8JtS8SWdsthF8QtQbS5oXVRtW4lt2jMskmACWY/M3JU5Ir9J tPYyWNs56tEpP5CrNbWPM9o1e5+dn7SX7OHxJ+IniDxFZaj+z14T+JkMsC2/h/xbpuvQ6JeadGIV VFnQGMzrE+dq4xtAGSK5jxh/wTp+Kcn7CWg/DuDUbHXPGul+Jn8QrpYu9sEUEkLRG1hlk2ruBPmH O1dzyAE8E/eV7+0N8PtP+NFh8JrjxB5fxAv4Dc22j/Yrg74xE8pbzhH5Q+SJzguD8uOpAr0fnNFk P2kopKx+ePxx/Zz+MH7Y3wpij13wbZfDX4keEJ7S40yxn1uG+t9Tj8pkmIeIFYSWRCoYt93BODuG h46+APx5/bM+MPws1H4q+BtJ+GHhLwPMbu6+z61DqE2pSs8Ly+UsROwP5EagOfkBY7nOBX3Xp+1P GV8vO6Sxhf24eQf4V0lZPc7qbvFM+Iv2Yf2c/iF8O/26Pjh8QfEHh7+z/CHiNbkaVqX223l+0b7q ORf3aSGRMqpPzqOnrR/wTD/Zz+If7O/hz4i2vxA8P/2BPq2qw3Nkn223ufNjVHBbMMjheSOGwa+3 aKRoFFFFABTWUMCCMg8EU6msoYEEZB4IoA88sY4JNZ1K6s4I4LBisUQiXashXO98Dr8xIB9BWlRN 4Ru9JBOky/aLUdLG5blB6JJ/Rs/WoI4NaZsHQ5E92uYv6NXo06sIxSuck4Scrk9X/AtnEvhPTd0M e8xfMdoyTk1lfZdc3Y/sYAZ6m7Sui8M2M+l6DZ2t0FWeNSGCnIHJPX6VjiJxlblZpSi43ucf4XUr oFkrAhlTBB6ggnIrUq3deDi2oTXFlftYRTHfJAsSspfuwz0zxmsrX9GvdDs0vBq0lwonjQwvAgUh nCnkDPetYYiNkmZypO7ZaooortOcKueB2Pk6sjMCVvmwPQGND/U1Tqz4Nyt9riYAXz42H4xKD/Ku PE/Ajej8R1VFFFecdgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAYPjZQ3hu7JBIVo5Dj/ZkVv6VoV5tq nivVL7T72wvYllS6SUfLG0RgKgnGWG1hwDnJ4NdZN410WGBpP7Rt3IGQiyAknHTivMxcXJxsgPz8 /wCC1iiT4Z/DND0bW5wf+/Ir51kuviHJpVx+xFJ9oEem+K7i4uNY6f8AEliU3WNv90kG4Ge5Ra+0 P29/2e/Gv7XXg3wbYeGzoulSaTqD30janeyqHjeMKAuyFufrivoPWNB0i+1bVvEEHgTSYvFt9YSW Da8IoBetGybQjT7PMKcL8uccDjiumFCtCnFct9/+ATzLufmf+xD+0Q/7MP7D3xX8Z2tjDqWrf8JL b2GnWt1nyWuJbdAGkwQSqqrsQCM7cZGciK1/4KL+NvhUnhPxRp/xi0X4kjUJlm8QfD+LwpLpsWmq yhnSG5aJd5HK7lbAYA7XXNey/Bb9gHWNF/Zd8f8Awo+IU1t9q17VodV07VPD8v2gWcsUaqjssoj3 chgV7qxwwOCOo0XwL+1voPw3sfhvH478JaV4asbRdPi8VWdlcvrcVqi7FCjIjDBAFDAhxgHfn5q1 9lUi3Lle/wCH3D5l3Lv7TH7Rfifwn8RtdiP7TXhz4P2Mdvby6Z4Zbwymt3bZgRma4dY3aIO5YrgM dpU47V5X4Z/4KmeO7f8AYz17xdqtjpt98QbbxBD4dsL9YNlu4lgaf7RJCCBuRYpBhcKS0fGAwPf6 n+yT8TvDf7U3i74s/Dy58M3ul+LFbzh4y0a5u7jTxKyM728cQw7KU+Ul0G07SOM15f4Y/wCCb/ia H9nnxf8AD7xR4o0u08Q3muW+vaVJZ211LAJI4ZIv32+BHUMskg+UMOQeduKqMrrYZyX7Zmg/F7T5 v2aNU+Lfj2y8Z3+r6k15BaW2jRWR0xmexaSEyRYEwwyDJRSCrdc19ReOP2ivi38cv2zNe+BPwn8U af8ADnTPC9g15qfiO40mLUriZ1EO8LFL8m0PPGgHB4Ztx4WvKfG37M3x8/aG/wCFSw+NfGfw9jbw LdBIUiF7btcwg2+ZWmMTLJMwhwV2xgYBGdx2+8/Ez9j34h+Hv2nL746/A3xN4b0/xBrVmbPV9F8X QztYzgrGpdXgBfDeVE23A+ZM7iGKiwPELf8AbI+Od74A/aB8A3WuWcHxY+FyvqVt4l0zToCmoWVv dLHd+ZBIjRg+Wd6lVHBAIBUk8x8av+CifxTk/Z7+B994A17yvHGq6Pfap4ouo9OtZmMdo5gaRo3j ZI1d4p5DtVcbQBwcV9Vfst/sR3fwt1L4l+LPiVrln4w8c/EITw6u2nxNHZw28zM0sUe4BmDs3JKg AKoA4JPj37Jv/BMHxF8Ide8fy/EHXND1zS9Z8M3nhnS002aeZ4Iblz5jsskSBDt6BS3Mj/UgGwv7 X3j74vftmfDPwn8Pdaa18CzeErXxNr+l29nbTPOXt3uvKMkkbOm5XtYvlZSC5PBrwvwJ+338Vvi/ qniS6vvjr4W+Duv2t40Wl+B9b8NK1lcKP4Zr+RCYSG+Q7jnIJwor6B/YQ/4J++M/2atS8fa14y8R aNd+INZ0iPRdKvtDuLidrOLB3ljLFEQQUt9oXtH1HFct8UP2BPjl8d9N0/w74+174UzW1vcxyTeO rDRJl8S3UagriQhFRsgjI3DJAyTQB+g3he7vr7w3pNxqaxJqU1pDJdLAwaMSlAXCkEgruzggkY7m tisDwL4TtfAPgnw94YsZZp7PRdOt9NgluG3SPHDEsasx7sQoyfWt+gAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igArK1vQYtcjgV5p7Z4ZPNSS3YBgdpXuCOhrVooAyNF8PxaHJO6XNxdSTld8lwyk/KCABgD1Na9F FABRRRQAV+Xv/BTxfM/bL/ZtXON13ajP/cRir9Qq/Pf/AIKLfs4/GP4qfG74V+Nvhb4Qh8UHwrGL h/tN/a28QuI7lZo0dZZo2ZTtGdp6dwaAPsXxRqniHTfhXdX/AIS0621rxLFpgk06xvZhDDPNsG1X ckbV9TkV8MfED/gob8U/2fvE3h8/EOL4S+K9C1C48m8tPh/rE02o6eoxuMiySNyATj5NpK43DINP 1jSv2x/2kvg14r8A+LPBHhbwRo19oiHT9T0u+RZbqaKeBhbOVvZiqyxLMpJQDOASASD4N4//AGFf jV4q+CPg7wvo37PXh/wzruhzkajrlr4gsJdR1glGHmuxcBI89UMjHcRhQBxrd9DijGKb5mj0v9on 4maF8HP+Cr/h3xn4nuvsWh6P4bmnnkUZZv8AiW3qoiju7uyoo7swFe0fCH9tr4g6l8BfHHx3+Jnh vRtA+G9iGHh3S9NgnGpaizTCOMvK8pTZvZY9wjG47mwqrhua/aA/Yn8R/Hv9vLTfEmv+Fze/CS50 OTT7/VVv7dGhl+xXKRssXmebuSZ4SCEIyATwDWB8I/2P/jNdfAX4nfs5ePrEW/gySRrrwl4wW9t5 Yo5o7lZVjaBZTMsUrKHwUyu6XPJWjUHyuKv5HOz/APBT74geE4dA+IWr6d8L9U8NauY4ZvDGg660 3iGytyzsDMvmFVbAPGzjcoYJnj1j4yf8FEfEMP7QNr8LPhrD4J0U/wBn29/J4m+JF9LaafJ59tHc xonlspBKSoASSWYkYAGT5X4H/Z5+L/gbwzY+BZ/2WfhT4m8RWthJZ23jTUn02S3lUOu25mgdPNlk UEDJwWzkjrnuf2hP2cfiV421rUNO1f8AZ48H/FjT1021s9C8Q6ZrsOg3ml7bWNGjk2+X5sSTCRkj AACtjocDNnXG3LofX37OPjzx38QPAVxffELw/pug6/bX8lqp0W5NxYX0ASN47q3kJO6Nw5A+Y4Kk HBBA9Yr5g/4J7/s4eLf2X/gO3hfxlqcN9q15qcupCztZjLDYI6Rr5KsQMnKM7bfl3OcZ5Y/T9IoK KKKACiiigAooooAKSiuS1rxFLqDTWGlHGGMc96w+WPsVT+83X2FVGLk7ITairssXXjSOLUJrW1sb i/8AJIDywtHsyVDYBLDsRWX4g1u51rTxZpo88W6WJzJJLFhQsisTgMewNFlZQ6fapBAmyNBge/uf ep6744eK3epyus+gUUUV2HOFTeD2H9ta2mT0gc+nKsP/AGWoal8IqP7c1tt3JS3G304fn9f0rlxP wG9H4jrqKKK8w7AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKAEpa89bXtaurm9WPUY4EhupYVVbYHAVyByT6Ch9R1x2G NakQei20X9VNbxoTkrpEOSR6D0pa43wtqOoSa9NbXd893E1t5o8xEXawYDjaB2NdlWMouL5WUncy ta0G016KNLtXPlklTHIUPIww4PQgkH2NWLu1RNLuYYkVFMTKABgfdxUs19b27bZZ4om9HcD+dVbr WtOWN0k1G1j3KeWmUYHr1oGcForb9HsjnP7hP/QRVyqGg/8AIFsv+uS/yq/XvR+FHG9wr5z8Tf8A BQL4BeHtW1TQ9Q8fC21Oymls7iE6PqDCOZGKOu4W5U4YEZBI96+jK/FXwL8Wvhb8K/j18cm+J3gH /hPYtS1S+g020Fjbz+VMLuYsd8rBocggb4wW46cVjWqONkupcVc/VrxJ+2/8LPh3+z7p3xKj1eTx doEf2ezkj8N+VPcrMwClWSR49hU4yGIIBHHIrsvCfju0+K+k6L410u0vLLR9a0e0u7WO/REm2SqZ l3KrMAQsgBwSM5wTX466T8K/FfgX9gP4ka54g0660bTPEPiHSZNLsbxGRykTSB5grchW8xFBP3vL z0wT9s67461vwL+y58Ap9O+MPh/4QabL4VsRfX2qaemoXVyRZW3lrbW7A79vz7iCMbl65ripQ5Zc z7GsndWR9eaDGtxb6jHKqyR/bJgVYAgjNaFo2oaLtGmXhSEH/j0ucyRfRf4l/A49q/OL9nL9vbxD pnxK+Ifh7xN4psfij4T0nRr7XrTxHY6X/Zk9w1vEsrKItqhQw3LgrwwBDEdew+Cfjf8Aai/ag+Hu pfE3w74+8PeELJrmaLSPCjaJFPBdiI4IkuHzJGC2V3AnJBOFGK6FKFSKi1dmy2P0MsPG1s7LDqUZ 02c8BpDmFz7P0/A4rpAVYAg5B6V+Vfxz/bo8SxfG6f4bSeOtL+DWl6JYRDV/EU2gNrctxqBijaSC OBVkUIGcqCeP3bHecqp9L/4J5/tZ+LvjNfeOPDOra1Z67c+G5kkstYt7Nre31O1Z5EDmAhTEfkVh hV4fBUFTnilTXNywYvQ/QyiuY0/xtbuyw6lGdNnPAaQ5hY+z9PwOK6VWDAEHIPQ1i04uzEOooopA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHJeHWWw0+4sZXVDp8zxMx+XCZ3IxHYb SPasPR/jn8NvEWuDRNK+IPhXU9ZL7Bp1nrVtLcFv7vlq5bPtiviL/gsN4+8R+GNC8E+C9C1CTTrD x1cSrqPluUEy2xiVY2I/gY3KFh38sZyOK7O+/wCCRvwXm+HUGjWb6vpvi2GFceKlvJJJHnAHztbl vK2Fv4VCnHG4HmtU2cNSnGLvJ7n1x4y+K3gr4dtGvirxjoHhhpBlF1nU4LQsPUeYwzWx4f8AEmk+ LNJh1TQ9Us9Z0ycZivdPuEnhkx/ddCQfwNfPn7QX7HPwP+I/iLXvid8U7a4n+z6asdxdXGqS2ttZ QQqx8xREVOeSfmLZOMDtX55/s02fj7wx+xX+1D4h8Ey6tD4WuXtYNGkbcJHjW4K3syAdGW0dQ7L6 f7HDuZxpqSumfq9Y/GDwFrHxQ07QdN8beHdQ19YbiB9LtdWt5blGBQ7TEr7geG4x2r1Ov53fElx8 ENP/AGZfBGo+EdS1Oy+OtnqBm1VibpflEjFGRseSoUCMqUIfjnnp+9HwJ8U33jr4H/DzxJqnOp6x 4d07Ubo4xmaW2jkfj/eY1k9Wd0Fyqx3dFFFI0CiiigAooooAKb9BTJpkt4ZJZG2xxqWZvQAZJrlZ /HUkitJY6ZNPbqu7zriQQKwxnIGCx/If4ii5bITaW519ee6Pu8m6VuCt3cDB7fvWrttLvhqWm2l4 F2C4hSUKTnbuUHH61xemsWm1Mf3dQuB/5EaurD/EY1vhLtFFFemcZFd3K2drNcOCUiRpGC9cAZ4q GNtVuIlkg0O4dG5UtNEuR6/fpNU23Gk3iqQ4aF14P+ya7HRZPM0exbH3reM4/wCAiuOtUlBrlOin BSTucqtnrj4/4lAQYz890n5cZq/4V0nULTUdQur23jthcJEoRJfMOV3c5wP736V055pQK4pVJzVm zojBR1QtFFFZlhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAebRr5eoasu3bi+lPX1O7P61NTJF8vXNaTdk/ay35ohp9 e5R/hxOR/Eyfw38vjJSSBusJAP8Av5HXd/zrzW4sY7maOVjIkkYIVopGQ4OMjKkegqH+xrUqQRMw PUNPIf5tXLVw8pzckzSM0lYkvtPtbjxBrXnW8c7i5+9KgY4MaHGT2605dPtV5W2hB9ox/hTrWzhs 1ZYUCBjk9SScY6/hU1dVOnyxSZnKV3cRVCqABgDgAUtFFbkhXyT+y3+yZ4y+B/xP+MPxC1fWNHm0 rxFfySWdtpcsks6g3byYmEkSqvyyD7rNyD25r62qj/p66df6bGtvHa3UzSNMxZnwcZAXgZ47muSv GUrOG5pBrW54z+2d8Cte/aK+Bl94L8OXenWOqT3ttcLNqkskcAWN9zAlEds46fLXifxf/YW8a+Lt J+BWqeHda8Nt4r+Hei6fpdzp+vLNLpV09usZ3ArGWKl0YEFAWUr90ivo/wCJX7T/AMK/g/qo0rxh 440vRtTKhjYvIZZ0BGQXjjDMoI5BYDNbvhr40+AvF/g278W6N4w0a/8ADdmrNd6nHeJ5NtgZPmkn 92QMHDYPIq5RhJu71Em0fJngT9ifx9r/AO0n4t8efEvVPCuo6Nr2iT6Lqdn4f+0W7L51nHCVhjdC AirwGMm44DYBOBd+HH7LP7RvwD8K6r4B+HXxD8GP4MuriWW11LWrO4GqaeJPvGFEVo93f5iRnJGM 17x8Lv2o/hT8UPGmo6H4Y8daTqmrzOrQ2ayNHJPtjG7yw4HmYwT8ueAT0rpfil+0B8Ovgo1svjfx fpvh+e4XfDbXEhaeRc43CJAXK543Yxms4whbmudkfhR8++LP2OviF4O+NkPxb+EXjLR7fxZeabFp +t2PiiGZ7TUGWONHkLx7nG8xRuV67lzu5xXsXwO8I/GHTfEXiHXvix4r0PVJL6GC3sND8MwzJYWA QuXdTLhmZ9wyWBPyjnGAOw+G/wAYvBPxc0WbVfBvifTfEFjA4SaSzmBMLHosinDIT2DAZrsq2jCN 7osR41kUo6h1PBVhkGoLP7Xo3OmXPlR9TazZeE/QdV/D8qsUU5QjNWkgNfT/ABtbyMsOpRnTZzwG kOYXPs/T8DiukUqwBByD0NcG8ayKUdQ6ngqwyDWfHc3mi3ltbaPcMskrZ+wyHdDsHVjnlB/u9+1e bWw/IuZPQnlfQ9OIormLbxrHC4h1a3bSpScLKzb4H+kmOP8AgQFdIsiyKGUhlYZDA5BHrXGS01uS UUUUCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooA+T/+CiH7J7ftS/CG1/sy7h0/xV4amkvdNmuA 3lSI6gTQuQCVDBUbcAcGMdiSPBtNsf8AgoB4q8K2vgW5t/Dnhy08pbZ/HDXsBvXiwBu3xSyMGK/x rCr98g81+kV1brdWs0DfdlRkP0IxXP8AhOb7R4Z0t85P2dFJ+gx/Sric1aXKlofn/wD8FCPhL+09 8eviEPD3hDwnHrXwl0829xDZpq1paR6lMFVpPtIa5jlYK+5QBtAAyOfmr0z9nHVf2oNE8N+IPDXi f4N+B/BOg6P4Yuf+EXstHmjMM2pLt+z20oW/l/dvlyzHbk8lwTz9lCitLdTk9p7vLY/KrUP2Ofjv +0x400PQfH/gDwB8FPCTXRv9TbwfZ2kU98E4LHyZZmkfDkLvcKC5bBIr9VtF0e08O6NYaVp8C21h Y28drbwr0jjRQqKPYAAVl2qiXxlIwGfJ08KT/vyE4/8AHK6SsXuehTd4phRRRSNAooooAKKKp6hq dtpVq093KsESkAs3qegHqaAG60nmaPfrnG63kGf+AmuLsCJNBtz1VrZf/QBW3deNtIuLeeGN7idm Vk2x2kp6g/7NYuiIy6LZJLGUdYEVkcYIwoHIrsw99Tmq9DqfCMnmeF9IOMf6JEPyUCuZsdq3Wqqv a/mz9S2f61NoPin+yNFsLKbStQeaCFY3MUaFcgY4JYVW0tnka/naGSAXF08ypMAGAOOoBNKhGSnq iqjTjoXqo64Sui6gRwfs8n/oJq9Wd4iYroOoEf8APBx+ld8tmcsd0bDeBdPl06NbQtp1wYgplt+A /H8Snhv5+9dDptkum6ba2asXW3iSIMepCgDP6VLa/wDHtD/uL/Kpq8Y9EKKKKQBRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA Um6svXddh8P2sU80M0/mSiJUgUFtxBPcgY4PesT/AITm5b7miyAf9NLhFP6ZqowlL4UK6W519FcY vjjUy2DokI9zff8A2um/8JjrLKdunWaN2LXDEfolX7Gp2FzIpX6lfFGtDaApkiYY94lz+ooqtD9q n1C+vbtYUluWQ7IWJUbUC9SB6VZr2KKcaaTOaWrCiiitiQooooAKKKKACsjxhrEvh3wjreqwRCae xsZ7qOM/xskbMB+JFa9NkjSaNo5FV42BVlYZBB6gikB+YP8AwTb+Avg79oSz8f8AxF+JVhD421+T Vvs/l6qTIisyCWSZkzhmdpMAkHGw4xk1q/8ABQz4N+G/2bf2dbnS/ANvcaNo/jDxZazahp6zF4E8 q2mYImeQhdEfaSQCnGBgDpl/YX+Nf7P3xC1zWP2eviBpeleHtYfdLpOtA5iXJKoVaGVJAm4hX+Vw DjnJJ7HUP2HfHvxU+A/i7w98VviHB4i8d6xqkGs2WoxRu9rp80MbRpGown7tleRSERAu8kAnrwKL 5eW2vc3vre58sfth/Crw1+zvpvwG8T+BdPTRdbjit5pLq0YiS7ljjt5VmY55feWOf9vHQADrP2xv BKab+3wmoaVoMfxyuZtMjutR8DATS3FlHHbKhVyiFVyuJUHzHL8pyhbufBH7BXxi+JfxK8DWvxm8 baLqfhHwJHCLW004tJLNChTbFkwx8MIkVncltq9zzXpPxu/Yt+Lmn/tKan8aPgd410nR9Z1aIJe2 WtA/LmNI3VcxSLIjeWrYYAqRweBjzqjtJrY7adNyhex5Z/wS88M+DvFHxL+L+q287eGdWuZXS38B r5ofS7PzyVdncASFGKxdMrzkDeAP0hHh26IIfWLg/wC7FGP/AGWvlz9jn9jfxf8AB/4n+Lvit8Tv FFl4j8feJIZLeVNKUi3RZJUlkdmKJli0cYCqiqoU4znj6/qFOUfhZ1U6a5feRgyaHqFvza6iJ/WO 8jBB9fmXBH5VBJeXViCb6xkiQdZoD5sY9zj5h+VdLRWsMRUh1uVKjF7aHMzatF5EbWpW6mmby4Y1 YfM3fPoB39K1NH0n+zY3klfzrybBml9T6D0UdqsR6daQ3j3aW8aXLjDShfmNWutFWtKra+wU6XK7 sRlDKVYBlIwQehrNXSZtNbzNIu3085ybf79u3rlO31XFadFcxpKKkrNDLPxg9sRHrNqbE9PtUZL2 7e+7qv8AwIfjXSQzJcRrJG6ujDKspyCPY1zxAYEEZFZy6W+nyNLpVw2nyE5aJRuhc+6dPxGDV8xy TofynbUdK5m28XG1xHrFv9jPT7VHl4D9T1X/AIFx710UUyXEayRurowyrKcgj2NUcjTi7MlooooE FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAN/irmPCP/It2OBgbDgYxgbjjiun/AIq5jwiVOgxbRgebN+fmvn9a uO5y4j4TZooorU84x7fMPjbCllS4sGZxk4ZkkUL+QZunrXT9Frmrs7vFGiKo+cLO7cchNgB/8eK/ lXSt0rGW56tJ3ghaKKKk2CiiigArL1/SBrelzWvmNFIfnikBI2SDlW9wDjitSigDzDT/ABVDdX32 CeGS1vEXEokwqq4xlRzk85rUm1C1t1zLcwxD1eQD+tddeaTZakuLu0guB/01jDfzHsPyqG18O6VY 82+nWsLf3khUH88V1xxDS1Rzuir6HGL4m0tm2rexs3ouTVyzvoL6NngkEiq20nBGD1xz9RXcniuQ ufDmp/2jfzWb2fk3MvnDzi4YHYqnIA9Vq44i797YUqWmgys/xCpbQdQA/wCeDn8gTWivh/XyDum0 1T2wsh/wqO48Ja3e2s1vNe6ekcsbITHA5PIx3atJV4NNEKnK519mwa1gIOQUUg/hU9Q2sItraKEH cI0CAnvgYqavNOwKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKrX99b6bayXN1KsMEYyzt0FWPWvO9fkj8Qa7P5qCS1sG8iNGHBk4L tj8h+B9a0pwdSXKiZPlVzpk8c6FIvGoxgf7SsP5iprXxZpN7cJbwX8ck0hwi8gk+nNcrVe8W58y1 mtfL863nWULKSFbGcjj612SwlldO5mqmp0njxT/ZtkwONt7ET+OR/WsOo9X1HVdcjggnSzhgjmSZ jGXLHac4GeKkrfDQlCLUkRUab0CiiiuwzCiiigAooooAKKKKACiiigAooooAKKKKAK+i/wDI1Xv/ AF6p/wChGulrmdL/AORul/68R/6MNdNXz2I/iyPew38JBRRRWB1BRXxJ8Qf+Cj2ot8Utd8DfCL4S a18VLvQZXh1K+s5HSJHRij7FjikJQMCodioJBwCME7lj/wAFCk0P4O+IfHHxA+F/iPwRfaLqdvpk vh+4YG5lMq5WRPOSElR34/Oixl7SPc+v6K5f4b/EPSvib4H0HxNpkgS21bTbbU1tpJEMsCTRLIqy BSQGAbB56g10NrfW18rG2uIrgKdrGJw2D6HFBpcnor4r+JX7W3xK8U/tXaj8F/hMPB2mLotgt3qO u+KzNJFIxSNysflMMAedGmMElg3IArP1f9rT4u/ED9pTVPhB8OH8B6bN4b0yO41bXPEIuHt7q4Cw iUQBHBC+ZMFVSCSFYlh0osZ+0R9yUVSjvPsNjanU7i3huWVVkYNsRpMchdxzjOcDrU95fW2nw+bd XEVtFnG+Zwi59Mmg0uSnBBBGRWemlvYSNNpdw2nyE5aJRuhc+6dPxGDVtLuCZlRJo3dkEiqrAkqe jD296+XP+CgX7Tvib9mj4U6J4i8FHS7rUbrXU0y4XUIjOiIbeaQjCupDZjXqemeKaM58vLeR9UW/ i42uI9Yt/sZ6fao8vAfqeq/8C4966C3uIryFJYJEmiYZWSNgykexFcjoN4+qaDp13OF8y4to5XCj jLICcD05qNdFFjO0+l3MmmTNyyxYMTn/AGozwfwwfeq5jllQ6xO5orlLfxdc2LbNXsjHH/z+WYMk X/Al+8v6j3ro7W8gvoFmt5knibo8bBgfxFUcri4uzLFFFFBIUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAJXLeFNselywDOYL u4jbPqJXP8iK6quUZbzw/eXrfY5L2xuJ2nD2vzSRlgMgp1IyDyuevSqi7MwrRco2Rt0VjJ4u0rds nufsUveO8RoWH/fQFadvdQ3Sb4Jo5k/vRsGH6Vsec4uO6KOlr9s8VX1wP9XaQLajn+Njvbj6bK6S ua8PzJJ4g11Y2V4/3EhZW3DcUKkexwi/nXS1g9z1KfwIKKKKRoFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAmKw9U8XabpdwbcyPdXS9be1XzGX/e7L+JFc9rupXmq6vfWX2iS3sbZljMULbWlJUMSz DnHOMAiq1vbRWsQjhjWKMdFUYFddLDuouZuyM5T5dC9ceKdWvOILe306PjLSHzpPyGFHp371n2tv 9lh2FzIxZnd2ABZmJJPHuamor0qdGFP4TByctwooorYkKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigCrpv8AyOH1sDn/AL+Cunrl7rTYbyZZXMiSKpUNFIyHBOccGo/7Ftd24+czerXEhz/4 9Xl1cLOpNyTPQo4qNOCjY6yiuX0OCLTfEDQQhkinti23cSNysPX2b9K6ivOqQdOTiz06dT2keZH5 Y65+zXeyfELxf8Tf2Zvj3o2kG+u7ifUdEvdSNjPayeYzSQSZBDKH3FRMigDHJHzHyX4lfHzX/wBq X9jrxZffESytdU8W+Adb0+3sPENugi8yK8Miyqyx4iLf6MuWUYIZcAdT94+OP+CXfwJ8c+JrrW30 3WNIuLqZri4g03U2WGSRiWZsSByuSScKQOeAK9Ps/wBjv4T6b8FdR+FVp4Wjt/CGoMJbqFJn+0Sz AqyztMTvMgKLg5wAMY28UrmHs5arY+SvFng34B/s/wD7Cvg7xF4h8FXl6PG2maE+oWej30sMur3a 2wuQJJC58uPPmsxTB5wO1eGQaZq/we/a8+Aur6D8Lrj4FWfifU7G3bSofEjan/aNrLdRRyGUE5jy ku0xt7HAIJr7xs/+Cdvwri+Hmo+CdQu/FGveH7p4Jba31XWXl/s2SLzAj2oChYjiVweCCDgg1Bo/ /BOf4WaP4s8G+JTqfi7UNa8LXkF7Y3WpaybksYZUkijcOhAjUoAFTbwT9aLg4SdrI+Ufh/8As7/D rxR/wU++JXgnVfC9veeFrPT21C305ppQkdwY7OQyBg4bO6WQ4Jx83TpSfAD9nf4deIv+Ckfxa8H6 j4Zt7rw3oNhNqGm6e00oW3uEuLLa4IcMSPNk4JI+avvfw9+y/wCDvDP7QWvfGWzl1M+Ldatfsl1H JcKbUJsiX5U2ZBxAn8R70eCf2X/B3gP47eKvi5pkupt4p8SWz2l6k9wrWwRnhc7ECAg5gTqx7+tK 41T8up8Ofs5/DLQP21v2lPj/AHnxnS61y40C7+waXpc19LAunxNPcRny1Rl2+WII19MuSwJOa+dZ viB4h8R/sE+NvDOqancazonhrxrp0GkXlw5k2xvFc7okY/wDy1YL28w9sV+oXxR/YR+FvxS8bah4 unj1rwzr+qRmHUrrw1qb2X29CAGEygFW3ADdgDd1OTzVnxB+w18Kda+B9t8J7bS7zQ/CcN+mpsNN udtzNcqpXzJJXVy5IODnsFAwABTuJ05fn8z5I+I3wch/Zb/Yr1P4reDfEfia58b+LvD2kadf6pqF +JTa285gZxDtRTGAMRLySqsMHIBrxT9pb9nfwJ8Nf2D/AIO+ONCsXfxX4lurOfVNWa7lczGaznma MoW8sbGAUYUEbTzy2f1u1T4Q+F9e+E6/DfV7D+1vCn9mRaS9rdOSzwxoqoSy4IcbFYMMEMARgivn O8/4JbfB3UPDcOhXGoeMJtPtrjz7SOTWy62gIbckSFCiqxbJO3cSo+brkTG6b6dj6l8M3MVn4L0e aeRYoksYCzscAfu1rYhmS4iSWJ1kjcblZTkEetY9rp0Ml5p+jR5ay02GOSQOclto2xqfXoWP0FWb rSp9EmkutMi861Y7prFeCDjlo/Q/7PeqUG1cmWIjCfIzSrPk0tLeZ7qynbTbj7zSQ4CN/vqflb+f vVixvoNStUnt5BJG3cdvYjsfaqO0+Jrp7dMjSoWxPKrY89h/yzH+z6n8PWlFNuyNK04RhzSLej+N J3t/N1C0f7JuKrqFshMbgfxFPvKPfkV1NreQX0CzW0yTxN0kjYMD+IqgqiNQqgKqjAAGAKzZtBjW ZrmxlfTbtuTJb42v/voflb+fvW7h2PGVXXVHT8Zp1c1H4iu9L+XVrXMY/wCXyzUsn1ZPvL+o963b W8gvoFmt5kuIm6PGwYH8RWdrGyaexYooopDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAGMqyKVZQy+hGaybjwfol026XSrUt6rEFP 6Vs0UAVrOxttOgENrBHbRDkJEgUfXAqzRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAN+9S8VBdXcNlbvPcSpDCoy0kjAKPxridVvo/FOpOsUzS6TbKFHlOQsspB3H I6gAgfUmmld2NIQc3ZHe0tc14E3Lo80R4WK7mRBnOF3kgfrXSN0pENWdhaKKKBBRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAedXm1fE+uKBg+bG35wpTqNSVV8V6zg8sYWP/fsD+lFe3Q/h o5JfEwoooroJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCrITHrWkyL1 MjxH02shJH5qPyrp65XUpvsj2V0UZ47ecPJt6hSrLn8NwrZj8QadNZzXa3Sm3hIWRyCNpOMcYz3F eJil+8uevhJLks2aOBRWM3izSk5Nw+MZyIJCP0WtWGRLmGOaJt8cih1b1BGQa5LNbncpRlszM8Xe LNI8C+F9V8Ra9fR6bo2mW73V3dzZ2xRqMk8ck+gHJOAOTXwv/wAPWLjxFd6le+CfgV4s8XeEdPcr ca5DKy+Uo5LOkcEipxzhpBwRnFeuf8FMbHUtQ/Yx8dLpwkby2sprlI85MC3cRc/QYDH2U1X/AOCd 3jrwU/7HvhFdL1TTbP8AsiCVNZjedI2trjzXaR5sn5d2QwZuqsKXQxk3zWTsani39vr4aeC/gT4Y +Jeq/wBoWcfiizubjRdFltma4upYTteIvGHjj+YqNzMBhs88iuo/ZD/aWX9qr4Tz+Nf+Ec/4RYRa lNp5svt32vPlpG2/zPLj6+Z028Y681mfGTw98MPi5+zD4o8QaboPhvxNo1noOsXWi3zaZDLHbzeX L5k1uWT5CZYy29MbiA2Twa8c/wCCStkmpfsi6xZylhFceIL6JypwcNBADg+vNHQOZ86V9DO8Yf8A BV7TLTxDrw8F/CzXvHPg/QZRHqPii1nMMES7iokwIXARiDtMjpu9BX1/8Gfi94e+O3w10Xxt4Ymk k0nVIyyxzqFlhdWKvFIoJwyspBwSDjIJBBr8udR+E/7QH7D/AMLviv4X+z+Drn4Y6/a3EVxrurXc e6ZXhaILbxCVZfPkRgoQxuobHOMsfrf/AIJR6DqGi/si6dPfK6Ralq95eWgcY/c7ljyPYvE5/HNN kwnJysz7GoooqTrKGo6cbto54ZPs99DzFMB+asO6nuKt6RrgvpGtblPsuoR/fgJyGH95D3X+XepO tY2pxtq2pW1naqRc27rNJdYP+jr6Z7lhxt9OTWtOTvY8/FUoSjzPRl7UvC6Xl081vdSWQnIFykQ4 mX/2Vu24dq17a2is7eOCCNYooxtVFGABUlFdVkeM5NqzYUUUUyQrMm0GNZmubGV9Nu25Mlvja/8A voflb+fvWnRStcabWxm/8JNe6SwXVrLfAOt9Zguo92j+8v4ZrdstQttSt1ntJ47iFujxsCPp9aqV lTeHbc3TXdnJJpt43Wa1O3d/vL91vxFZOHY3jV7nVZzQa4+48XXXhsxjWrYS2rHaNQtQce2+M8qf oSPSuqtbqK+tYriBxJDKodHHQgjINZm6aexPRRRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFRyyLDGXbOFGTgE/oKkooA4/XtW0bxBY/ZpBqEyiQMDa2ku4MOm CUx3/Wsr7PZquEs/FE5HU7GU/wDj2K9D2+9LzQNSa2ZzngizmsdMuUlhuIFa6kkiW6wZNhxjdgnn rXSUUUCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOA1hdvi7U/lxuigbPrww/ pUdWPEYMfjCXAOJLKNs9sh3FV69rD/wkcs/iCiiiukgKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACszVtHN8yyQyeTKSok9JFBBwfcEcVp0VMoqSsxptaoR13qy9MjFWfC8n meHdOPP+pUc+wxVeneE7qEaHZQ+YiyKpXyyw3cEjpXm437J6GDfvM0dU0yz1vTbvTtQtYb2wu4mg uLa4QPHLGwKsjKeCpBIIPUGvjbXv+CSfwK1nxFJqcDeJtHtnk3nSrDUo/so5ztHmRPIB/wADr7To ryz03GMt0fNPxb/4J+/DD4u/D/wP4MuJtd8PeH/ByXCaZb6NeRhsTFC/mNPHKW5TPUcsfbGT8Bf+ Cb/wz/Z1+JmneOfDmueLL3V7GOaKKHVbu2kgIljaNtypbo2cMcYYc+tfVlFAvZxvex8fat/wS1+D HiL4kav4x1qfxNq1xquozandabPqMaWjSSyNI6jy4lkC5Y8eZnHevrPQ9F0/w3o9lpOk2UGnaZYw pb21pbIEihjUAKiqOAAABir1FBSio7IKKKKCyG8877HP9nOJ/LbyzjPzY44+tHhaG3TQ7WW33MLh RM7ucu7sBuLH1z/KpqqeFX8mG9sSSWtblgM/3H+df/QsfhW1Lc8vGp8qZt0UUV1HkBRRRQAUUUUA FFFFAGP4uXf4fuFJAVnjDZ6bfMXI/LNdUiLGoVVCqowABgAelc34ktJb7RLqCCPzpmUFE3BckEHq fpUv/CQ6q23GhMuevmXcYx+Waxmm2dFOSS1Kmk+KdSaxiu76yW5t5MnzrAEtHyRhoySe3UE/Suh0 /UrXVbcTWtwlxH0JQ9D6Edj7GsPwXn/hF7AkYLKzY9MsTj9asX2g291cfaYjJZ3va6tjsc/73Zh7 EGvI+tcsnGaOg6GiuaXVtT0fjUIP7Qth/wAvdmnzgerx/wBVz9K1tM1az1eEyWVzHcIpw2w8qfQj qD9a7ozjNXiwL9FFFaAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVk 694gt/D9uk9ykzI7bB5MZbnsD6ZrWrlPiF4mi8O6QFkto7x7glFhmGUIGM5/OgDS0TxHBrklxHDH PDJbhS6TptOGzg9T6GtjFeZ/CnUo77U9XMVvDaq8cREcKsAMFh3J/vV6ZmgbFooooEFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBw/ixdviq1O371kw3fSQcfrVSr3jRQviDSGJ5aGdQPoY z/WqNexhf4ZzVPiCiiiuszCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKseGfDFhrXhi0leFbW8E0jfareNFmysrgfMVPpVet3wF/yANm7dsuZ1+n7xv8/jXnYzZG1L cpS6JrGlXcv2Tdq9rIqkfarhY3jYZ3DhMEHj8qbcT6lYXVol7ZQRQXEnkq8NwZCG2swyCo4wprtK 5vxooaPSGJwF1CM/X5HH9a8yyO+FSd0riUUEhQSTgVmx6lPqknkaRD9qYHDXTjEEfOCc5G4+y5/C szvlJRV2aXPpRWLp+j6pc6pq8H9tN9ptJIwMwqYmVkDYKdR1IyDn61anvbrSvl1SyeNB/wAvVspl hPucDK/iPxp8rMo1oy02NCio7e5iu4VlgkWWNujIcg1JSOgKzrdvsPizniO+t9ufWSMk4/75Y/l+ WjVLUtOXUI48SNBPC2+GaP7yNgjPuOeneqi+V3MK1P2kHFG7RXOR+LGs4mt9Qt2GprhY4YeRc5OA yE9vXPStTSdYh1aJtoaG4jO2W3k+/G3v7eh6GuxST2PAlCUd0X6w5PGFlHdujCQWit5ZvsZhD/3S f69M1X1DVH16aXTrBmS3RzHd3akcDHKJ33HoTjA571eWxt1s/sohT7Nt2eVj5dvpispVLOyOujhX UXNLQ1gQwBByDRXLwXEnhZgjlpdGJwGOS1rnsfVP5fSunVg6hlIZWGQRyDWsZKS0OWpTlSlyyFoo oqjIKKKKAMbwrarpt5q9lGZPIilRolkcthWQE4z0G7dXQ1haYoTxVq4zy8FuwGPTzBW7Xy+KXLVk jujsgrJ1Dw3aahP9qXzLO+HS7tW2SfiR94exzWtRXNGTi7plGLDqes6Odt9b/wBrWo/5erNQsw/3 ou//AAH8q2NN1mx1mNjZ3KT7eGUcMvsVPI/EU6szUvD1nqkgnZGt7xfuXdu3lyr/AMCHX6HIr0Ke Me00B0NFcvDfa3ozBbmL+2bQf8t7cBJ1H+0nRv8AgJz7VsaXrNnq8Za2nWRk4eM5V0PoynkfjXow qRqK8WBoUUUVqAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFctpfxM8Ia74v1Dwpp3irRdQ8T6chlvNEtd RhlvbZAVBaSBWLoAXQZYDl19RQB1NFFFABRRRQAUVy1n8SvCGoeNLvwha+K9FufFlnH5tzoMOowv fwphW3PAG8xRh0OSOjL6iupoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACsjXPDOneI44l1C388RZKfOylc9eQR6D8q16KAPNPA8djYeLHXT7a5 t7W5tpQPtDqdzJIB8uD2GevNelVwCWVvovjuwit4b5UaSZWkmH+jguhfbGcc8jn0rv6B6dBaKKKB BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcf44XGo6K/wAv3pk568qDx/3zWZWp47UL Noshzxcuv5xN/hWXXrYT4H6nPU3Ciiqt1qltaOY3k3S43eVGCz/kOa621FXZluWqKytL14atdSRx W0iQoP8AXMRgnOMcZB79D2rVojJSV0DVtwoooqgCiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACtrwBj+yrxRn5b2bOfcg/1rFqXwv4itdHXU7W5ExlF2ZAsFu8nysikElQR1zXBi/h RrT3O97VzvjaOZtOtXgtpLp47uGTy4V3NgNyR+FPbx1oyNhp7hT6NZzD/wBkpy+NNHk2Yu2XcwUb 4JF5JwOq8c15Z0J2dyhZ+G7nViJtYPlwc7dPiYgdeDIwPzH2HH1rqIokt41jjRY0UYVVGAB7CpMi mSSLChd2VEXksxwBQVKTk7swNDUL4u8Sc5LG2YjHT92R/Sujrh4PE+l6b4w1hpryIRzQwYaPL5ZQ wI+XPTI/Stj/AITzQ/8An/H/AH6f/wCJoJKut+HZ7e4fUNGRVuGI8+z4VJxnkg9FfGee/eoNN1KH VLUTQkg9HjbhkbGdrDsa0/EerTQ+GZNR0x45MKkokK718vILNjvhcn8K4/RWbxJdXWpw38EWvO3y 2nKRvCgC4KnnnBOeccVLVzopVXHR7HUUVS0vU49ThLKPLmQ7ZYWPzRt3B/Lr3q7UHoppq6DAznHN UNS0lNQZZUmktLtFKpcQHDhT1B9RV+kZgilmIVQMknoKBSipKzK0MNvpOnqgIit4E5Zz0A6kmqCy 6xfQ/wBo2sca2vBjs5Rh5k7tu/hJ7D86fawnxRcJM4xpELBkVl/4+XB+8c/wDt6mumreFO6uzy62 KafLT6GLY30GqQOUB+UmOSKRcMjd1YdqPCZ8vTZbXduS0neBD32g5UH6AgfhTJfCayaheXaajeW7 3RUuISg+6MAZKk1oaTpMej2rQxySTbnaR5JiCzMTyTgCrhBxZjWrxrQStqXaKKK2OEKKKKAMq1JX xjdALhWsYiTjuJH/AMa3awo/l8ZD5vvWB+X6SDn/AMerdr5rF/xmdtP4UFFFFcJYUUUUAFZ+o6Ja ajIsrxtHcr9y5hYpKv0YfyPFaFFNScXdAY63mr6PxOn9sWg/5aRAJcKPdfuv+GD7VraXrNnq8ZNr MsjJw8ZyrofRlPI/GnVn6jolpqUiyvG0dyv3LmFikq/Rh/I8V6FPFtaT1A3qK5j7Rrmk53LHrNqo 4KYiuR9R91vw2mtLSvEFnqxKQyNHOoy9tMpjlT6qefx6V6UKkaiumBq0UUVqAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBwvxu+In/Cpf g7408aCFbqTQdIutQjt3yFlkjiZkQ46AsFB+tfmL+y9+xvqn7fvgbW/i98VfiT4l/tq+1Ge20oWU qFIDGBlyrggIHYqsUewAJ154/Un4peArP4qfDfxT4O1CRorPXtMuNNllQZaMSxsm8D1XOR7ivzP+ Bvin9p39gnQde+GK/A7UfiVprXst1pGr6Qs81tEzgAsWhjfdGxVW2P5bglskZ4AJv2SP2yvG3wG8 D/Hfwb47af4gXvwrJksRdXzRyukd4LOeDz2V22B2RkyrEAsvTaF+hvgf/wAFFpPjC2nalefCXxJ4 U8EJpV5qes+M7wyyaVYfZ0kcokwgCzZCAZJQ7iVCtgE/NXg/9jP4oeGf2U/2g/HHjPRLy++J3xAh jMHh/T4Tc3gRr1J5WaOLd88jndsXJVY+eSQv0/8AAf4G694z/wCCaunfDDVbO88K+I9R8P31h9m1 a3kt5LaZ55mj82NgHVSShPGdp4oA5vTP+ClHiLxb4b1Xxv4T+AfiLXPhjp08kUviJtYt7e4dUxva OzKlpNoOTscgdyOcfMnhX9oR/g5/wUa+OPjDRfBeu/ES81LSprew0fw9CZpXZ5LGXfIUDlI1SJ8s FbBwMc5HonwE+JPxb/Zm+DmlfCXU/wBn3xhrPjHQZ9QGlXVlZrNpF2JpGkDzXKnaAsknJUkFQvKk 8a/7OPgTxb4T/wCCl/xL8YeIfC+q6D4ZvtMuI49YudPlh0+WVvsp2RzsuxuVfADH7p9Kq2lx20ue /fs7/t3Wn7RnwR8Z+NdB8C6o3iXwuSlx4RtZ/tM9y7KWiEMgQbt+GHKAgo3GME8f4t/4KGeK/gvr 3hxPjJ8B9X+HXhrXbgW9vrcev22peWeMmSONBt2g7ipbdgHAOMV82fs8/CH45eE/gT+1PB4R8NeJ PCfi7VdRsJNGe4s5rC4vLdbi4Nx9keRV3N5LHBQ5+YYIJWvC/it+zv4n8UfBfwe+g/Ab4uP8Rbe4 KeJte12wu7j7VIUY7beHLN5eefMMa4wFLMTzIj9FPjh/wUUf4N/tHah8JofhbrPi+5gso7m3uNBu jPd3UrwCVI1tBCTjJwW3nABbacbSeOP+CiN14P074caLH8JNcvvi54zg+0x+AZLo2s9ghmkiTz5Z IQVLeWzAGMYUMWKjBPGSfDXxef8AgrvF4yHhTWv+ERGjeUfEH9nTfYN/9mlNv2jb5ed3y43deOtU P2s/hv47+GP7d/w6+P3h/wADa78Q/DFrZCy1Cx8OWjXd5buIp4WxEvOPLnV1PALKwJXgkA4r9mDx BrPir/grL8RNT8ReGZ/B2t3GgM11olxdRXT2ri3sV2+bESjggBgR2YdDkV+otfm9+zb4f8d+Jv8A gpl46+Jmr/DPxb4L8N61oTfZ5te0x4kX9xZqiNKuYvMIjJKByVO5Typx+kNABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRUCXMTyvCsimVAC0YYblB6ZHagCeiiigAooooAKKKKACiiigAooooA8++2apfXeot/atxb CO7liSONI9oRWIHVc9O+asR6jr1qSyahDej+5dwBf/Hkx/I1BahlvtXVjnF9Jj6HB/rVqt1FNHr0 6MJU02hl14s1mFopHtrK2g86JHHmNI21mVSQcADrXb153r23+zWLHCrJEx/CRTXotZSVnocWIpxp ySiLRRRUnKFFFFABRRRQBz/ijP2jQnBxt1FAWzjgo4x+ORXQVx3izX7L+1NM00OXvlv7Zym04UFs ZJ6dD+tdjQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWZeeItK0/IuNRtYWH8LTL u/LOazZ/H2lLxbtPftjO21hZh/30cL+tOzewEXj5S1nphBxtvkJ/74cf1rl7rWre33CM/aZFGSsR GF4zlm6L07mr+t6tf+IrcW7WNta229X/ANIdpHDDnOFIH6np78Z1noNrahCy+e6dGcDC564UfKPw FehQjVjGyVvUwk4tlH7RqOrYEBEcR6vHlU6no5+Zu33QP94VatfD8MaAT4lHBMKjEecDJI6scjqx NatFdapreWrM+bsIqhVAAwBwAKWiitiQooopgfBf7VH7XnxJtv2lLX4JfDLVNA8FXixxG48R+IjG I2lkg88KGkVkVdhVR8jMznAx39S+BeoftDfD/W9dvfjnr/hzxB4BstDn1IeINEjQtHNG0bYKRxRu ymLzm4iPKDByQD4R+2J4h/Zp+I3x08SeE/i0mu+BvFmgJbQQ+KtHRpkvYZLeOdFkRI5OVMpXmMnC jD87V8e/Y9j1+Txd8a/Bvw517V/GPws/4RPVI45rq2khikmeAi3ZYWzsmZiygDBZQxI4wODmanvf 5/ob20P0i039qj4Xat8IdS+KNp4o83wLp04trrVf7Puh5chdI9vlGLzD80qDIQj5vQHF3V/2kvhp 4f8AhbpvxG1LxZa2Hg7U1VrLULiKVGuM5wEhKeazfKx2hM4BOMV+Ungr9oPwVpX/AATu8cfCu5v5 o/G1/qy3FtYLaSsskP2i1kMhlC7FAETjBYHIHHNdJ8XI0s/hX+xnqviaNpfh9boq6luQvCo+1wtM HA7tCpwO4VsdDT9s912FyH6HeA/24Pgn8TPF+k+FvDPjddU13VCy2doumXsfmEKzEFnhCqcIx+Yj t6io/GH7dPwM8BeKr/w3rvj23stasLh7S6thYXcohlU7WVnSIqCCCDzXyb408deEviB/wVI+El74 N1nS9d0q30yO1a50iVJYFkWO8bYGT5SQrJ06ZA7Vw/i/9o7xH8Z9J+Oek33i/wAE/B7w9povR/wi k2jW8moa5M3nApmXDNOzIA0qfMryBgBjNHtZJP1DlR+hfjr9qj4VfDjwToPi/XfGFrD4a11zHpup WdvPeRXDAEkDyEcjGDnIGCCOoxW98Ofjh4F+LereIdN8HeJLXxDc+H5I4tRNkHaKJpN+wCXbskz5 b8ozAbee1fjt48kaT/gnt8LFZiyp4v1NVGeg2ZwPxJ/Ov2Y8B/CnwX8Lra4g8H+FNG8MR3IQXH9l WMdu0+zOwyMoBcjc2CxJG4+taU6kqj8tCZRUUdVRRRXUZhRRRQAUUUUAFFFFABRRRQAVY8Jk/wBq awuMDdE31yhH9Kr1N4WyuuauCescDAZ/3xXLiPhQ+jOnqhr2nPq2kz2sbrG8mNrMMgEMDz+VX6K4 DMyzY6tdYN1rLxjOTHZQrGPpubccUz/hFdPkkEl0kmoSZzuvJWl/Rjj9K16KXKkW5yfUjgt4rWPZ DEkSf3Y1Cj9KzvFEj/2LNBE22e6K2sf1chf0BJ/CtWsuaP7f4q0233fu7SN7x19WPyJ/Nj+FEtEE VeSNHWLi10Pw/Irp5kKQ+RHCTzISNqp9T0rD8C2bfarlrqXzLqxjjs1BH3V2KxbPuSB9FHrWl4u0 u5uraC7tMyT2LNOlqRlZjjBH+9gnB9TUfgu1la1uNSuUlhu7x/niljKFFQsqrg89Oc+9cx6GnL5l vXPDq6psuIJPsuoRA+VcKOv+y4/iU+nbtWPYag1xJJa3MRtdQhGZIG9Om5T/ABKfWuy9jWXrWgw6 zGhJaC7iz5F1GPnjJ/mPUHg0mrl06jg/Iz6jmhS4heKRQ8cilWU9CCMEVR/4n8O9G0yOVrdcyOsm BPz/AMsvfGTg49KqSau2ueTaaTJ+9mG6WfH/AB7JnBJH97ggD8ajlZ2+2hZu5b8NXUkV7daWr/a7 W1UbJ88x/wDTJj3IHcdutdFVbT9Pg0u1S3t02Rr+JY9yT3J9as12xVlZngTkpSbSsFFFFUZhRRRQ AUUUUAZL/u/GFk23/WWUybvo8Z/z9a3u5rBvMjxTozbsDyrhcZ68If6VvdzXzmN/jHZT+FH5Ufsa /tz6P8Mfit8ZYPjX8UNcNhJqCxaLDq0l/qkcQjnuRKsSosoiABiHRcgDrjjr/wBhH9obVfit+2d8 cbybx7rOufDxLXUNS0iHU9QuPsNta/bozHIkMxAhAiOPuqVUkcdK5H/gmf8AC7wZ8TPjN+0InjDw hoPitLPUoTbLrmmQXogLXN5uKearbc7VzjrtHpXOfs+fDWTxJ+1J+2R4C8JWtrpL3ugeIdI0uztU W3t4S14scUSqoConIXjAAraUad5LrZfoaH15ef8ABUD4SW8l9e2ujeN9V8I2N0LK58ZWGgs+jwyk gANKXDDORgbMnIwDkV3vxo/bY+HfwT0P4f6zfJqviPSfHDldIvPD8UM0bLiMh3MkseAfNXpk8HIB Ffnp4N+OGhfD/wDYG8X/ALPuveHtctPi7cXVxZQeGpNInM1y0twrrMCE2/IOME7iYxgEEGn/ALT3 wT8c/CT9iP8AZsm1nRrue68JX17c6tAqlmsftU4uYY5cZ2YUbCTwGwvcCo9jC6v3t6+YH6O/ED9r Dwj8N/2gPB3wf1PTtan8TeKbeO5srq0ghazjV5JUAldpVcHML/dRuCPfHBeKf+Ci/wANdD8XeIfD +ieH/Gvj5vDrlNY1LwjohvLOwKkqxlkLrhQVYbgCp2nBNfG+vfH+z/aQ/wCCjfwB8X6b4Y17wzpb WlrbWq+ILdYZbtVmu2M0YVmDR7nZAwPJRunSvOvHmseHPhv4g8U+Jfgx8Q/iD8M/ihqGpf6T8L5d JuZDdTGc7lSdAI3iXe7IJUZsHGATRHDw0TWtgPpD9pT/AIKDeLND+PXwbi+HkfigeAdZXT769sof D8EsviK3nkify7EyqZHk8tzEVRkIkOM55r6O8V/t7+BPAnhfwzfeIfDPjbSfEniSSSPTfA1zohXX 5AkpiDm234VWYfIS435+UHBx8WftMzeMvBeu/se/FD4leHZtHg0P7JN4gax0/wAtLR4ryKZg8UYC xSNF83lgD5g4AG0gdF8ZfiRo1v8Atp/Cb9p+0/tHxL8E5rJ7BtettMudllKiXVu4eJ4w6hXlWQZX 5sNt3EU/Zwko6d/n5AfbHwF/bA8CftBeINZ8N6RDrXhzxfo6+ZfeGfE9gbLUIUBALmPcwIBZQQGy NwyBkZ+fr7/grd8AdW0OS9u9J8XreQ3PkR2P9nQC7xjJlR1uNiqDxy4YnopGa4v9nw3H7Rn/AAUo 8Q/GrwVp9/H8NLDT/sx1y6tZLaLUZPsaW4VA4BYlvmwRkLEpbaSBXkP7D+k2V9+wj+1VJcWkM0i2 F0wkkjBYFLKR05x2YBh6HmlGnCLfy+VwP07+E3xWtvip8O9G8beDrw+JfDWpxGSAXQ8i7j2sUdGP QsrKykHuvU9a73TfE9jqNx9m3ta3uMm0ulMcg+gPDfVSRXyV/wAEoWJ/Yv8ADIJyBqGoAf8AgS9f W2oaZaapCI7u3juFHK71yVPqD1B9xT+sunNxeqQGxRXMrb6po/NlP/aFsP8Al1vH+cD0WT+jZ+tW 7PxVYXVwLWZmsL3Gfs10uxj/ALp6N/wEmu6nVhU+FgbdFFFbAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV+eX/BVj48+M/DcngH4Q+BtSl0 bUPGkrC+vbeQxStE0iQxQBxyqO7tvI5IQDoWBAPsbQtNlbxHqd75qm3S5uI0XHzZZ1Y5PdeMj61p +ILWa+sFijha4Uyp5sKyeWZI8/Mu7PcV8JeFf+CWa/D1fDninwN8VPENl41tbi2u7ua4lEVpeqGV pYwIgJEDLuHzNJnOCDnNeVf8FbPCfxgskbxDrfi/T7v4RXOtW1rovhy2Yrc29wbN2aSUCBQw3RXB BMrkeYMAZOOr4YWaOj4Y6o/VPQfFltqV5Jp0kZs7+FtotmbeSoUHORx0NdHXzha6HovxF/ZV0/wX p3iafwlf6t4csoZ9V0uGRrmBvKiLsNpBLEbl+9/F36V+W3xy+HPgH4P/ABS8OaL+zp8SfHHiT4vx au9hqUd0rQeRMhxlZTDF/GCCCXXbuJYAc8pzn7sUVS0tbtdLtFv2je+EKC4aIYQybRuK+2c4q7QA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAnSiiuY8Ta3PHcJplgwS6kTzJZyAfJTOAQO7HnH0JqXpqyoxcnZHSNIqkBmUFuACetP4rzb/h H7CTc1xD9rlbJaa4O92ySeSfrWhoupv4evYbeWZn0u4bYvnPk2744AYn7p6Y7HHrURqKTsdM8POM eY7qiiitTkCiiigBPSvOtXt5v+Eu1O7tJPIvYlhaJ85Vhs5Vh3U4/rXovvXC6ix/4S3VB2EUB/R6 iTtG6N6MVKaTOl0HW4tctfNQGKZDsmhYjdE46g/0PcVq9a86uLp9DuRrEChjEpFxHnHmx+n1HUV6 GrBlBHOelEZcyuKtTdOVh9FFFWYhRRRQAUUUUAFFFFAHARqI9Y1xM5P2wt09Y0NWRU994Z1M6tf3 FnPZpHcusgWZXZgQiqehH93P40z/AIRfWWXMmp2UIxzstWbHvy9bKSSPUp4iEYKLMrxEzLod4yjL Km7n25r0WvLpriS+8J3kkzq8nlTKXQYDbSwBx74r0uzcSWcLKcqY1I/Kpn0ZhimpOMl1RYooorM4 jhfHmp38eqadp1jeSWRuBy8ZAyzSIi5OCcDcTgYrtLeMw28cbO0pRQpkbq2B1PvXEfEbMOqaBcqm TDIz7sgYxJCefwBrvaACiiigCk2l2b3gu3tIHuhgCdo1LjHT5sZq5VTU75dN0+4u2ikmWFDIUjGW IAzxWF/wntu0YePTdSlU9NsKjI9eWFBSi5bIsXXjTT7aeaEJdzvC5jfyLZ2AYdRnGKtaP4itNckm jgWaOSEKzRzxlGAbODg/Q1xWn3V3dz6pNa6TeSo94zYzGCpKqcHLdef1rT8KtOfFt4Lm1ks5fsKY jlKkkeY3IwTxzVWVjaUIKF769juaKKKk5wooooAKKKKACiiigArO1zVk0LTZb2WN5UjKjZHjcSzB R1IHUitGuf8AHi7vCl98u7bsfGcdHU/0prcDMfxtqEgIh0hIvRri6HH4Kp/nVWTxBr1w3E9lapnP 7uBnP0JLf0qGivWWFpo5vaSI5pdTus+frF4R0xDtiH/joB/WqraPbTBvtHnXRbljcTO+T68mkl13 T4WZXvIgynBG7JBpV1qzbbtlL7uRsRmz+Qq1GjHsK8mTQafa2uPJtooj6ogBqxUFlfQahD5tvJ5s eSu7BHI+tT1urW0I9QoooqgCiiigAooooAKKKKAOa8XfDHwd8QPKPinwnofiUxDEf9r6bDdbB6Dz FOK0fDfhXRfBumppugaPYaHpynctpptqlvECepCIAP0qbXrmSz0PUbiFtk0VtJIjYBwwUkHB96+S /wDgmz8ffHfx/wDh74t1Px5rv9u31hqiW1tL9jt7bZGYVYriGNAeSeSCayckpJdWOztc+jpvgn8O 7hdWEvgHwxINXx/aQfRrY/bcOHHnfJ+8w6q3zZ5APUVxPx0+EvifWfh/ofhv4X6f4FstOsbnNx4e 8VaSsukXFuFbEQijjOzDkMNgXvzWz8YP2mvhn8BLyytPHniqHQbq9iM1vC1rPO8iA7SwEUbnGeOa n8A/tI/DT4o+E9a8SeFfFtnrOk6LC1xqLwpIstrGqs5Z4WUSAbUYj5edpxnFJ8j92+oa7ngvwP8A 2L/FOkfH2x+LHxGv/Cdte6NZtZaN4b8DWL2+m2ilHTIDqpAAllO3Byz53cYP0nqfwZ+H+ta5c61q PgXw1f6zco8U+o3WkW8lxKjKUZWkZCzAqSpBPIOK8rP/AAUC/Z+Gk2mpH4kWYtrqZoI1NjdiXcuM lovJ3ovIw7KFODgnBx6R48+PHw/+GPgmy8X+JvFWn6Z4cvlR7O+3GUXQdd6GFYwzSZX5vlB456Uo 8iWjG+Ykm+BPw1uvD1roMvw88KzaFazNc2+lyaJbNbQysMNIkRTarEdWAya7mvzw0X9pkfFn/gpH 4Bg8D+P9U1b4d32ly+ZptveXMVjJMtjdsfMtn2jcGVG+ZM5CnsK/Q+qpyUr8oSTW4UUUVqSFFFFA BRRRQAUUUUAFFFFABT/DrbfE16uPvWkbZ+juKZTtByviiXgYaz69+H/+vXNX+AOjOrooorgICiii gArLvLC7t9QbUNOlUXLKqSwT8xzKCcDPVTyeRx6g1qU2aPzoXj3Mm5Su5DhhkdQexqWrjTcXdEHh zxBNrU17FNZfZHtWVWKzCVckZ25AHzDuOevWt5elc34MmS1sW0h0jhu7HCOsZ/1qkAiUf72effNd IOlcx3LYWioJLyCHJeeNAvXc4GKwPFHib+y7GKSyuLNneZIneR9/lqxxu2ggnHHegZe8T2s9/od5 BbvslZMjJIDAEEqSOQGAK/jVLREtTpttPaWsdrHPEkmxFA4KggHHXGahk0e8vlYX+sXUysMGK3Ag Qjv935v/AB6tG3t47W3igiXZFGoRF9ABgCtoxa3OWpJS2JKKKK1MQooooAKKKa8iR43sq56bjigB 1FVm1KzTO66gXb1zIBj9agbxFpUZw2p2an3uEH9aVx2ZBqRC+I9BOMlnmXPp+6J/pW/XK3mtWV9r WiJaXtvcSLctuWKQMcGJxnjt/jXVV8/jv4q9Drp/CFFFFeaaBRXN/EjxzYfDL4f+JPF2qBm0/QtO uNSnSP7zpFGzlV9ztwPcivzY+Cc37VH7eUOufEHTvix/wrDwpDeyWmm2Gnq6xs6gMUVUwzou5QZJ GYkk4HGB0QpuScm7JAfqXRX5i/tFftCftG/s7/BXwd8PPEOu283xW8TeILuwt/E1mkLeZp0Qt1ia PCABpHuNu9kDgI2Ruw1WfAvxQ+N/7I/7YngL4W/E34hP8SfDfjSKBRNcbnMMs7vDGY3cb1KzIARk qyPnAONt+wla6a/4YD9MaK/If9pD40eNZf25PiJ4Muv2gdY+EPhKy8l7W48y5mtY3+zW58pYomBX cXds9OD6192fsSeG9a0n4c6jqOpfGkfG+z1S7EtnrSSM62yqgVoctI5BzyVOCCeRSnQ5IqTe4H0Z RRRXKAUUUUAFV72xt9Rt2guoI7iFuqSKCPr9asUU9tgMWPSr7R1H9lXXmQL/AMuV6xdMeiv95fxy ParVr4stvOW3vlbSrk8CO6ICuf8AYf7rfnn2rQqG6tYb6FobiJJ4m6pIoINdtPFTjpLVAalFcbdW jeFlguNOuJo7ZriKJ7ORt8W1nCnbnlTz2OPauyr1KdSNSPNEAooorYAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr4b/4KWfso+MvjZZ+C/H/AMNY/tfjTwdM zrYBlWS5hLpIrRF/lLxumQp+8HbGSAD9yUUAfmj4b/aZ/ac8beIPDnhrSP2f9S8BanJNEmravfQz RWTxB1E80MVwiRoQpOBvk6jAJxXOf8FOvE/xQ+Msk/wp8P8AwR8XalpGhaxa6pB4t02yury3vv8A Q3DIiJb7RhrllLCRuYiMc8fo148un0/ULO6h5mWyuiuRkAr5Zz/OrsXhrUpoEZtdkUsA3yWsfp05 BrZSSjZmia5bM+Mfhz8eviVc/ss6veL8BtY0Lxx4PWystK0rX47qMatEZIluJATHAUKwh8DLfMq/ e+6fln45eDfiR+11No+i+F/2Q7j4XeJJdSF7feLJreWE3RZWDGS4kghXYS+8lmkYlBj3/WPxHo+p aXps1zHezanAIZBdRy+XHtTYfmXCjkEdK6nw6wk8P6YynKtaxEf98Cs3boQ7dCp4J0e98PeDdB0r Ur99V1GxsLe1ub+QktcypGqvKc85ZgW59a3aKKkQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUVWvL6Gxt5pp5FSOJDI/PIUdTQBY2+9HPrXnltqWvSZvYr/ AMppmMn2K5jDxqD91cjDDAxnB65rVg8aT221dS02RV6edZEyr9SuAwH51CnF9TeVGcVdo6+iqWn6 paatbia0njuI+m6M5x7Edj7GrmaswKWq6lFpOnzXk5xFCu4+/oB7k4A+tcTp8U5826uub26bzJcH hf7qD2UYFWNXvv8AhIdX2qytp1jJ8uORLNj730XOB759KfXNUl9lHq4WlZc7FqC+tEvrSW3k+5Ip U1PRWB6G+jN/wrqTatolvNIf36gxTDJ/1ina3XnqP1rZrz63urvQrqe5s1W4t5iHms24JYADch7N gDg9cV2el6pb6vYx3Vq/mRP+BB7gjsR6V2xkpI8CrTdOVmXqKKKsxGrXE6sFXxdf44ZraBj+cg/w rtlritbj2+MLg5zusoT/AOPyD+lZz+FnTh/4iKGuqG0O/B/54SH/AMdNegWv/HtD/uD+Vef63/yB dQ/695P/AEE13ek/8guz/wCuKf8AoIqKWzN8Z8SLdFFFbnnhRRRQAUUUUAFFFFABUU0KXEMkUi7o 5FKsvqCMEVLRQB5lZWK/2ZqGnxn5EnubddxJwN7Adfauw8I6k+paLH5qKktu7Wz7DlSUO3I9jiuc tRtvtVXbtxfS/qQc/rSaei6X4m094C6LeSyJMgkbaxKFgducZyP1NayV4pnpVIc1KMl0R6B2rz5f iBqMllHdGLTrWKYjy1lldm5zgHAHOBXoNYGieC9J8Ptut7ZXmDFlmmAeRcjGAccDH9ayPPi0t1c4 jXtWn8V6TKJ1jVraeONJrdXCHzVdSPm64O2vR9C1D+1dHs7zvNErkYxhscj881V8XWv2rwzqaD7w gaRen3lG5f1ArM+Hd152k3UI4EVy+0ZyArgSDHtlzQG6udbRRWLr3iax8Ow7rl2aVlLJDGu52A6n 2HucCgk0L+3N5YXNuMZliZOenIIrjdK8N61PZ28U7Q6VHGgQ9JpWIGM8fKB+dbfhPUdS1azlvr6F bSKdgba36siY6k989f8A9db/AD3p3a2LjOUNnYzdF0ODQ7eSKFpJWkfzJJZm3O7YAyTgdgOlaWBn OOemadRSICiiigAooooAKKKKACiiigArC8boZPCWqgHaRAzZ+nP9K3ay/E0Zk8N6sg6taSgZ/wBw 01uBx6sGUEdDzS1FaMWtYSepRT+lS19D0OI3vh+qL4ZhCrgrNMpOOT+9f/GuiIDKQRkHg1zngIt/ Y9wG/hvJ8fTeT/WulHSvn5bs7FseWeH4kh0mBYxhRkdOpBIyfetGqWjsWsyT/wA9ZR/5Earte7T+ BehyS3YUUUVoIKKKKACiiigAooooAzPFH/It6t/16Tf+gGvy4/4Jr/tUfC74A/D3xdpfjzxR/YN9 f6olzbRf2fdXO+MQqpbMMTgcg8Eg1+rEsSTxvHIiyRuCrIwyGB6gjuK81/4Zg+Dn/RJvA3/hN2X/ AMarCcZOSlHoXFq1mfInx8/bEvda+PXgPQvh/rfhXwVoPiDRkvI/iR4k0wFvs7+c21TOF2R7oiu1 gMu3JUV47+yfKP8Ahb37UKReIrXxXFJ4Q1aRtZ061jtba/beMzJFH8iqSzEBeOeOtfpvqnwX+H2u aPpmk6l4E8NahpWlrssLG60i3lgtF9IkZCqD/dAqbS/hH4G0S+1O807wX4esLzVIGtb+4tdKgjku 4WwGjlZUBdDgZVsg4FQ6UnLmbHzK1j8o/h38K/CGp/8ABMX4i+MLnw7p0/iuz1tUt9ae3U3cKiez XYsmNwXbI4Kg4O40eNpI7TRf2MdY8Y5l+HkFvEl01ype2XZfqZw45GPKEWR3VD1xX6uWvwj8C2Ph K68KW3gvw9b+GLp/NuNEi0qBbKZ8qdzwBNjHKIckdVHoKmu/hf4N1Dwnb+FrrwloVz4Yt8eTos2m wtZR4JI2wldgwSeg7mp9jpv0Hzn5/t408L+Pf+CsvgHUvCWsadrmlrpcsBu9LmSaAyLp15lQ6fKc AqODx07V+k1cdo/wa8AeHdY07VtK8DeG9M1XTojBZX1npFvFPaxkMpSKRUDIpDuMKQMM3qa7Gtqc XG9+rJk7hRRRWxAUUUUAFFFFABRRRQAUUUUAFJo/y+LYyT96ykUfg6GlqrPcf2fqWnXx/wBXFL5U nGflf5c/gdp/CsKyvBjR29FFFecZhRRRQAUUUUAUdQ0Wz1SSOS4iLSRghXSRkODjjKkZHHQ1Vbwh o7kF7GOQg5BkJb+ZrYopWQ7szE8L6PHnGl2Z/wB6BT/MVKmhabHjZp9qmOm2BRj9KvUUBdhRRRTE FFFFABRRRQAVz9nothqXiLWpLy1hunV4dvnIG2jyxxz2yDXQVl6TlfE2sjAAMVu4Prw4/pXDjLqk 2jal8RbXw7pUedmmWa567bdB/SpxpdkoAFnbgDoPKX/CrVFfO877nURrDHGcoiqfVQBUlFFQAUUU UAcJ8dPh6/xY+DPjfwbDKtvca5o91YQTP92OV4mWNm9gxUn2zX5nfsh/tsW/7DXhHWvhD8ZPBXiT TNR03UJrq0exto3ch8bkZZJEBXcpZZFLKwfsACf1sqvdWNtfGM3FtDcGM7kMqBtp9RnpXTTqqMXG SumB+S37Znjjxh+0Z8Lvhn+0JYeA9R0bRvCniO8hFjcRu0xss2stvdSHbjYzwyqWUFQWUZPU3v8A hZ0f/BQL9v8A+EviXwHoOsWvhbwbHaXeoXmpQKnkmC4e5YuUZlUM3lxqM5JyelfrGfm4PIqC1s7e xjMdtBHbxk7isSBRn1wKtV0lZR72+YH5rftEftSfstQfET4h6N8TPgdfah41s72eymvk06DfqPl5 ijlW58xJEDKi4bHAxgtiuv8A+CPPw38WeCvg94u1nXbG70vRvEGpQz6TaXisjOiRlXnVT/C+5FDY +bys9MGvvi60+1vXje4toZ3jOUaWMMVPtkcVZpSrrk5EvxAKKKK5ACiiigAooooAKKKKAMfxduGh yFPvLNAw/CZDXTVy/jFgvhu+ZmKhVV9w7YYH+ldRXr4P4H6gFFFFeiAUUVR/tey+3/YTdQi82hvI Ljdg+1AF6iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKo6tfrpun zzlowyoxQSMFDNgkL+NXqz9W0ez1u2EF9AtzCrbwrEjDAEZ4+p/OgDzq/wBTvtahZ9RVonNlcCAf YpIVJaPJAZicjAr0nS8tptoxOSYUJP8AwEVFe6Hp+o28FvdWkU8MOPLSRchcDHH4VcjjWCNURVRF G1VUYAA6ACnfQZR8RSKug6gWYKPs8g5OOSpAH51F4RYSeFtII/59Ih+SAU7xFoo16wW2MoiKyrKG aMOMqc4KnqKsaPp66TpdtZI7SrBGIw7YycD2pCL1FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACdK4DxPp9reeMnFxCsx+xROu8ZwfMccfkK7+uN8Rgr4r iPG1rL8eJP8A69RL4Wb0P4iIqKKK4j3inPpNrPN5xj8uf/ntExjf/vpSDQ2nyyR+VLqeoTQHGYpJ 8g4IPJxnt61coqlJrZmbpwk7tEcMMdtCkUSCONBhVUcAVJRRUmgUUUUAFVUa50W8a/sF8wP/AMfF rnAmHqPRx69+lWqKqMnF3RE4KouWR1thfRalZQ3UO7ypF3LuBB/EVZWuM8K3P9m61Pp2MW10puYc DhHGA6/iMN+frXa12p3VzwJxcJNMTNcf420spc2eqwCcyo6QziIFgYfnP3QCT8xH512GK5nxFrt/ Y6vb2Vkbdd8DTM1xGz9GAwMMMdaUrW1Cnzcy5dzmNSvluLG5hS1vXMkTIP8ARJRyQRj7tehaWpXT bQMpVxEgKt1B2jg1ybaz4hyT9rsR7C2b/wCLp/8AwkWvnbmHTV455kPPt0rOLhHZnXVhWqtOUTtK M+1cP/wkmv2/72WOxuY1OWhgjdXZe+0liM/hXW6bqEOqWMN1btuimXcpIwfofetIyUtjlnTlT+JF yiiiqMwooooAK/Or4qftwftEt+1t4y+Dfwm8D+DvE82j7ZbaPUkliuHhEEUjs8j3kUZIMvQAHGOD X6K1+NXxM+FfjH4xf8FNfi7oHgLxtf8AgLxOljJd2upafNLC8zJZW2LdpI5EZEkJUFvmxjO1ulAH 2F+xR+3H4s+PHxS8Y/C74k+D7Pwt458N28tzOdMZ/s+IpkhmjZXdyrK8iYIdgwJ6YGe//Zw+PnjH x5ceLk8Xav8ADzxYmnXUUFlJ8MbyW5WAHzN4u/PkyrHau3AAO1/avi7/AIJZt4dsfGnxF8MeJbe8 074vrcSf2s2qzl7i9gSX95EueVKSjdKCSzkockAhfCfhfrniDw5+yX+1BceHZJreWTW9Ntrua1JD x2rzzLLgjoCCEP8Ass1Ukbxp3Sk9tfwP1n8P/GjwHrXifUdKt/Gnh2XW7i9YppMesW0l2OFAUxLI WByDxXyv+z9+1R4s1f8Aad+N2l+OvGFhH4M8F6xcLp6akLOwhtI1u5oFUz7FJ+XauXYnjPJpv7Pv wQ/Z4k/Zd+FXiTUbXRrXVDJpt1/wkMLqNQOsGaMmDzAC7fv/AN35RBAXsMZHhPwT/Z38FftDftff tMad41sJ9Qt9O1XUri0WG7lg8qZr2ZRJ8jDcVHQNkcnINXrZI7JKTjGC6+Z+n99+0B4b0/wfD4qu NW8PweGZSFi1qbXbdLFyTtAE5+Q5II4PUYqvp/7QegaxrVjpGn634WudVv7dLu00+LxBDLcXMLoH SWNFG50ZCGDAEEc5xX44+CNQuLj/AIJo/EayknZ7a18a2TQxkkhN8cW7HoCQD9c1q/tAfs/+D/hn 4F/ZX8Q+GoLzTNY8ZafbXGsXkd/KXllaKxfehLHyiDPIBswANvpUaHNyRte34n6/WPxdsPGuoavo Gka54Y1LULVGivbGw1Vbi5tc/KfMReVOT/EBUOg/F/wB4Bt10zxJ488M6FqlzMzR2eqatb2szqMI pCO4YghBjivzdg+E/h/9nX/gp14L8L/D/wA3w9o11pEsjwyXUkw3PZXW5SzsWIZo0YAnAbBGMDHL fsf+B/AnxM+C/wAfvEHxUi0288U27TS3t9rCI99a/uWZXjLgtCfO3gsmGJULnAxQ+yJlFX5YrU/W Hx98afDfgvSRfXfiLRdK05mWM61qt9HBZRswyqiRiFdyASFB7VxnhP4leANd8dWui3fi3R59Wu7d L2zsZdSha41BGXespTfuKbcMq4wQQemK/J6+1nxBqn/BL21j1u6uJLG18cfZtGjkBObVYQzEMf4F lklVQO+4fwitn9oT4J+DPgvB+zD4r8C6beaVqeuLa3Wp31xeSy/bLpRZy+YquTsw0rj5cKeOOMle hHS0fmfsp4n+LXgfwSbQeIvGXh/QDduY7YapqkFt5zA4KpvcbiD2FfJ//BPX9o7x/wDHj4kfHnTf GPiRde0vw3qttBoyx2dtCLeF5r1SA0MalwVhi5ct933Ofn/4T+GfCnxU/wCCpXxO0z4r6ZYaxb6f Z3EeiaVrMSPafuzAIf3T/Iw8hpHCkEEuWxnmux/4JE21jZ/FP9pi30xIU02LV7GO1S1x5SxCfUQg THG3bjGO1IiS5W0fpdRRRQSFFFFABRRRQAUUUUAFFFFABVPVo/N0u8TG7dC4x65U1cqOWPzInTON wIzQB5tpLb9Ls2xjMKH/AMdFWqz/AA+2/RbI/wDTJRz7DFaFe/H4Ucb3DQ9en8PxXcC6XNdCS5eY SLKijBA9TntWi3ji+52aIDz/AB3ajj14U1nUVzvCwbuy/aMq6bHLFbsJUWJ2kkk2IchQzlsZx2zV qiiuqK5UkjN66hRRRVAFFFFABRRRQAUUUUAFfOX7cH7Vx/ZX+G9lfabZQal4q1qdrXS7e6z5KbFB kmkAILKu5BtBBJdecZr6Nr4E/wCCtXw517WvBvgHx3pFo99aeE7y5F+iIXEUc3kskrAfwBoNpP8A trWNSTjBuO5UdXqV7bUP27vDvhmDxzc3Hh/xDbMi3Uvg37FD9sSMjJUpHEjFgP4FmZ+2CeK9t/aL 0j9pzxF48Sz+D2t+HfC3haHT45H1DVkjeae6Lyb41DRTYAUR9UUfMeT24a6/4KsfB6PwBDq1mNWv /FM0K48MLZyJIsxH3GnK+Vt3fxKWOOdpPFO/bs/bqh+Aav4D8Jkf8J7fwK0mo3ETG20iGTgTHgmS TGSqgEDqc4Cth7qi3zN/MqzvsZX7HH7X/wASfiBpvxZ8PeOdHj8SeMfAlrNcxLpsQikv5Y/NVrUi JSu8yRhVZE53H5TjnkvgD+2R8Yfiv+2xp/g7xXpl14C8OXFrcSP4NvLBEnh2WjSIzyywrMSxAf8A hBBGBjr0n7BPjb4DfCzwZ4i07QPiD/wlvjN7CbxJ4q1ZtKvoswwDLlDLCpZI/MOBy7F2bHO0eDD9 qL4Y/wDDyk/FT/hJv+KD+weR/a32G6+//Z/k48ryvN/1ny/c9+nNRzPli2+pVtXofrJRVDQdcsfF GhadrOmT/adN1G2ju7WbYyeZFIodG2sARlSDggH1q/XoGIUUUUAFFFFABRRRQAUUUUAFFFFABVLW oxNo96rdPJY8+wJFXapanG18senQkie7Pl8fwp/Gx9gM/nWc2lFtjW52dhI0ljbOx3M0akn1OBU9 IqhFCgYAGBS15ZmFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWTZ4TxleKB9+xiY/g7itasq LI8YEZGGsOV78Sf/AF648V/Bka0/iN2iis3UNaGn3kNqlldXs8qNIFtlU4UEAk7mHdhXzUYuTtE6 zSorH/tbU2z5Xh68bB/5aTQpx/33Tvt2tMy40LaCOS92gx+Wa3+r1P5QNaiscXPiB840e1jPZnvs j9EpwTxG+T5OlxDHGZpGIPv8oqvqtTsBrUVlfZfEbbf32lx/3v3Ujfl8wpf7L1+Tdu1azi9PLsif 5yVX1SoBqUVmf2Hq7MpbXcDHISzQZ/Mmj/hHNQZcSeILsnOcpDCv/slV9Tqd0Bp0Vmr4UbcxbWtU fd281B/JBS/8IjC23dqOqNt/6fHGfrjFP6lLuBo0Vm/8ITpjZ837ZNk5/eXsx5/76pw8E6MpBNlv IGMySu382q/qb/mA0KjkuIof9ZIqcZ+ZgOKqt4K0N1w2nRMPQkn+tOTwdoceNukWZx/ehVv50/qX 978AB9WsY1y97bqPVpVH9aryeJ9Hjzu1WyGOo+0IT+Wa0I/DulQ/6vTbOPnPy26Dn8qnj021jbKW sKHplYwP6U/qS7gYf/CZaJvCDUoHY9Ajbv5U0+MNM6RyzTtnG2G2kf8AktdOoCgADAHAFLV/U4dW wOJ17VH1jQ720g0rU2lmjKLvtWQbscE5xxmu1U5UHGPrTqK6qdONNWiAUUUVsA32rg7qNf8AhJLq x1Kyt7v+0JzIjrKGkSNUwpK4yoG3rnqxxXSeKtRl03RZmtv+PuUrBBjGfMc7QRn0zn8Kg03SbfS0 bywXmkO6WeQ7pJG9WJrKcklYxqSSVivHDqujj/Q5/wC0bUf8ut43zgeiyf0bP1rW0nWE1iGVkhlg khfy5YplwyNgHHoeCOh70gql4LXdorXXIN5cS3OCMcM52/8AjoFKnJy3JpSctGdDRRRWx0BRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFACUV55qWqXfiPU57f7RFFZWd06eXA7pMdqlcsQ3TcT2HSp7e81jTm/0fUvtUfaK +Tf/AOPjDfnms3OKdmdEaE5R5kjvOe1J9a5SLxrJb8ahpk0fP+stSJk+uOG/TtWzpviLTdYX/Q72 GZ+vl7trj6qeR+VWmnsYyjKO6NSiiimSFFFJmgBaKKKACiiigAooooAb/FXHeKQF8Uae3OXtJV/J 0P8AjXY965LxgCNc0Vs4Gy4Uj1yEP9KiXws2o/xEVqKKK4j3wooooAKKKKACiiigAooooApalN9h Nrf9DaTpIWHXYTtcf98sa9Ergrq3S8tZYJBlJFKH6EYrofBuoNf+HrUyH9/CPs8vGPnT5T+eM/jX TSeljysZG0lLubf8Vch4rUr4k0x8DD20y7vo0Z/r+tdf3rkvGS/8TrRXzjC3C49chD/StJfCzlo/ xEVqKKK4j3wqCzuLvQZ3ksk+0WszFpbMsFwx/iQngHPUHg+1T0VUZOLujOpTjUVpEs3ijWZiRBYW lqvZriZnP1woH862/C+qT6xosN1crGk7NIjrEDtyrsvGSf7tcnqk0sNvGIWCPJNHFuK5xucAnH41 1+gaQND01LRZmnKuztIygZLMWPHbrXTTk5as8rEU4U7RjuatFFFanGFeXaT+zX8ONB+M2p/Fax8O eR4+1OJobvV/t1y3mIURCPJMhiHyxoOEHT3Neo0UAfPPjr9ln4bv8brX4uzeF9nipWiL6xZX11bv HMo2LJJHHKqOGQhG3KQQMNkE1U+E/wCzb4H+ES+MLLQfDFrZaT4kk3ahazXE15Hdj94MOs7uACsh BUcHJr3jxVJLF4c1B4YI7l1hYmKUZUr/ABcd+M8d64/Q7e5trXE10l1CQDCVUghfTJJJ7YzzWsD0 ML7zs1seM6D+wp8CfDPjC18T6Z8O7G11i1nW6gk+03LRRSqwZWWFpDGCCARheMcV2ngn9nvwB8Of Gnirxb4d0D+zvEPiiSSXWLz7ZcS/ameRpHOx5GRMuzH5AvXHSvRNor4R8b/t9fEbx98X9Z8A/s8/ Duz8ayaK7x3eraozGCQo2x2XEsSom4EK7yfP1A9dNEd0uSFtPwPf9P8A2Kfgzpnw31PwFa+DPK8J 6nex6jd6f/al6fMuEACP5hm8wYAHAYD2ra8Xfst/DDx3o/gjS9d8M/brDwTEkOgQ/wBoXUf2JEWJ VGUlBkwIIh+8Lfd9znyv4R/tbeNP+EL+KF/8ZvhzceDtW8AWlvqF3BpoL/boJRMQ0CyNtODAw3CV lOeowa4f9lX/AIKBa5+07+0pq/hG18P6dpPgdNNmvrBpo5DqeYzEo81xKY+S7nCpwCo3HBJV4k81 PRW38j6f1T9n3wFrPxe034oXmgCbx1psXkWurfbLhfLTY6Y8oSCI/LI4yUJ59hjkviF+xN8Evil4 ouPEXiPwBZXetXD+ZPdW9xPamZz1eRYpFV2PcsCT3zXjn7XX7XXxZ+Ev7RHhL4XfDHw14b8QXmv6 TDdwQ6zHL5r3Dz3EewSC5iRV2wqfm7k89BXpn7NXjb9o3xN4m1WD40+AfDvhHRI7MPZXWjXCSSS3 G9QUYLeT8bdx+6OR17UabCvCUnDl/A3vGHwD+H3izwjY+APGHhm2uvB1s0X9m2tq8tlBB5YIRR5D IV5ZicHDFiTnrWr49/Zn+GXxF0vwdZeJvDq39n4PVU0RG1C5hFoAI1Aykql+IY/vlvu+5z6deWcO oWrwToJInGCpqjdx2NnfWF1fwrPpkQaGSORS6R5Hyybe+CMc5+9ntRblRMoqlFtK6PLvGv7IPwq/ aS8WQ+KvF/hGx1C6sn+zm6juJop7jyyMLL5bKrKB03bjg44Fej/Bn9mf4a/s933iG5+HvhePw0/i B4pNRWG7uJUlMZkMYVJJGWML50mAgUfNjHAx6bb2sFnH5cEMcCZztjUKPrgVKtYPU8mUnJtsdRRR SICiiigAooooAKKKKACiiigAooooA8u0Vdmmxp8vyM6fL04Yj+lXqp6YvlR3EWCPLuZ0568SNVyv fp/BH0OOW7CiiitBBRRRQAUUUUAFFFFABRRRQAUUUUAFNkjSaNo5FV42BVlYZBB6ginUUAcZo3wV +Hnh3WxrOk+A/DOl6uG3DULPR7eG4z6+YqBs/jSeKfgn8O/HOrtqniXwF4Y8Q6oyLG19qmjW1zOV XhVLyIWwOwzxXaUVPKtrBdnC6D8Cfhr4XkvJNF+HnhXSJL21ksrprDRLaAz2748yFyqDdG2BlTwc cis3/hmD4Of9Em8Df+E3Zf8AxqvTKKOVdg5mQafp9rpNjbWVlbQ2dlbRrDBb28YSOKNQAqKo4VQA AAOABU9FFUAUUUUAFFFFABRRRQAUUUUAFFFFADJ5kt4XlkO1EUsx9hWn4W0lreFtQuQftt0oJVh/ qk6qg/PJ96xtSs/7QsZrff5ZkGA2M479K2tF8SG8mWyvoxbX5BK7cmObA5KH/wBlPI964sRfTsHT Q3KKKK5CAr8nviN+3p8S/hD+3hr+lar4kurz4XaPr4tr/SfssRjgsnCxs+4Jvyhk3j5uWUDviv1h r8n/AA78G7H4/ft4/tV+BL5ki/tbw9eJbXEi5Fvcrd2DwS+uFkVCcdQCO9RK/Q0hbW5o/wDBRT9v Tx54M+MUXhT4UeKJNH0rQbWNNVv7KGGdJ7ydfMWPe6MMLGoxjHJkB+7x9P8AxE+Kw0v43fBXSL34 xar4UvtdsrCX/hErXQVuoNaZpTuMlzj9zvPyHGMAZr4Q/a8/ZLn/AGUf2R/Dmn6xqNrrfizWvGRu 9Q1K03lGjS0mWGIFwGIUF25HWRu2K9o/aZ/5Pm/ZG/7B+lf+lJqLu+ppZWVj63+JX7eXwP8AhP4t vPDPiDxqo1qxYre2+n2FzeC0IOCJXhjZVIPBXOQeCBWt44/bM+Dfw88IeHfEus+NrWPTPEUP2jSR b280895HnG9YUQyAZ4yygZ468V+Z/jXxNZfA7xT8T/iZ8E/jppmk32o6ncLrHgTxFpqnUJJPtLh4 EV0kSdAzuVcbflOC2Qa3PGkPh34hz/BzxZc+ONP/AGdfjBpPhWC+s7HUdPaLR5Lc3l2YZIG+byGJ 3yeWylSsyBR8pqrsORH6RfDf9rD4U/Fbwb4g8VeH/F1u2ieHgDq9xfwy2f2HIJHmCZVIztOCMg4w Oa5Dwb/wUG+AnjvxZZ+HdK8dxrqF9L5Fm99YXVrBcyZ2hUlljVMk8DJGSQBmvzw1Lx98U/2lf2Rf jbe3+lWeuXmkaxpT6h4s0PT/ALMddtYGnD71REWXycxS7gisEYbgNq41/wBqf4qfDz4xfsafs/fD z4dzQa54/t5tPgTRdOgLXdqyWTw3EbADIZ52j/3yu7kDNF2T7NH6aR/tI+ApPjrJ8H11Sc+PI7f7 U1j9kl8vy/JE2fN27PuEHGfasnSP2ufhnr2tfEjSrPWbiS++HsF1c+IUNjMotkty4mKkriTBjbhc 5xxXwJ49+I1r+y//AMFMNH8XfEuS6h09vDNpFcajDC0xkc6aLdpQBy486N1JGe/pWD+zt4qs/HXi 79ubxJp0dxFp+seGNev7dLqIxyiOVrl1DofuthhkdqXMHIrXPujTf2+fgn8QLGz0zw94+aHWtciu obBI9Ona4gaONyZXjKYQDaSA+N2OM1p/sS/EK2+JXwt1bVbT4o6l8WYY9Zltv7Z1TRhpckDLBAxt xEANyjeH3dzIR2r5v/4Jz/DXwldfsR6t4pm8L6NN4mVtXC6zLYRNeKFjZVAmK7wACQMHjJ9a3v8A gjJ/ya94n/7HG6/9IrKmr6BKKSdj71ooorQxCsrlfGFvkgK9jIMe4kT/ABrVrJuyV8VaQQv3oLhS cf8AXMj+VcuK1oyNKfxG9WRcER+MdIOMmS2uE+mDGa16x9XF1b6ppd7b2sl4sJkR44ioOGUAH5iO 4r5/DyUaibOw6Xmlrnv+Eg1Vt23QJhjp5l1EM/kTUF14m1PT9st1pEcVp5kaPKt4GZQzBc7dnPJ9 a9n2sG7KSA6iiiitgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOZ1rN94k021 zmO1RryRexb7kefx3kf7tadZGhyfb7vU9S6rcT+VEc5Bjj+UEexO5v8AgVay1x1NWcVR3kZ+v3Zs dDvp1OHSFtn+9jAH54rX0mzGm6XaWg6QwpH+QArB8Qr9oXT7LjF1eRqwI6op3sPyT9a6nqa2prS5 tSWlx1FFFbG4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQBlah4d03VW33VlFJJ2kA2uPowwR+dY1z4MuLdSdN1ORcD 5YbxRKnsN3DAfia63PpSc0mk9y4zlH4XY4W4t9X01c3OmtcIOsti/mf+OHDfkDWe02l6tJ5Uoiec H/VzLskB9gcEH6elel1TvtNs9Sj8u7torlOu2VA3T61m6a6HVHFS2krnFwx6jp7brHVLiNf+eNyf Pj+nzfMOfQ1ow+LNUt8C606K7XHMlnLtP/fD/wDxVTzeBoF50+8urA9kD+bH/wB8vn9D2qlN4f16 1YlDZahGPQtC5/A7h+tL347aj5qE91Y0oPHmlNhbozac5/hvIig/76GV/Wtq1vLe+j8y2niuE/vR OGH5iuHmuLqz3C+0u8gAHzOkfnJj6pn9ao29vo+pyFrbyhOvJa3by5F9zjBo9o18SD6vGXwSPUKK 88a61HSYXli1qVYU+YreKJlA+pw361qaT4g164thNNofnQNkpJDKInZf73lucjPuc1pGSlsc1SnK n8R19Fc8njXTo2Vb1bnS3bkLfQNGP++uV7+tbNre299H5ltPFcJ/eicMPzFUZFiiiigBv+Fcl40d P7W0NOsm6Y47hdnJ/PFdb/hXIeLNy+I9Lb+FradfyaM/4VE9mbUf4kSCiiiuI98KKKKACiiigAoo ooAKKKKACpfC1wLHXru0JxHeL9pj5I+dcK49ORtP4GoqqXE32G+02/yQtvcASHqAjgoxP03A/hWl N2kc2IjzU35HoIrlPGmBqWhnGSZJVB/7Zk/0rqxXLeN9yvozjgC7Kk/WJ/8A69dUtmeRR/iRKVFF FcJ9AFQ3lyLOznuGUsIkZyo74GajggvdV1lrK2uIrWOO3EzSSRGQkliMAbh6frV+bwPe3VrJBPrI dJAVby7QKdp6j7xrWNNvU5KmJhBuPUwZLybVLSFbawvlnaWF8G1fC4kU8tjGODzXqHQUyNRHGqDo BgZp9dMYqOiPKqVJVHdi0UUVRkFFFQXm77LPsbY+xsN6HHWgDm/FWuo0NxpFiRNfTIY5CvK26sMF nPrjovU1ShjWGNI0GERQoHsKz/D8aLotmyAAyRK7t3ZiBuJ9Tmo/+Ehgmme3ska9uEYqyp8qrjuW PGPpmt1aKuz2aNONKN29WarKWVgDtJGMjtX5Xf8ABNr4p+F/2a/iF8VPh/8AE3UrTwhr811DGt7q sgghZ7dpkkjaVsKv+sDKScMCcHpn9NofEkrPLFLptyZo32sIF3qB65OPf8q86+Jv7Lfwf/aAvI9Z 8XeDLHW7/aIzfo8trcMF4CvJC6O2OgDE4oupaxZUvfalB6ot+B/2oPhp8SL7xiugeKrG70zwjFbz atrTSrHp0Qm83bidiFYKIWLMPlG5cMTkD4X+EXxa8Dab/wAFPviT4qu/Gfh+18L3mnSx2+tT6pAl lMxjtAFScvsY5VuAf4T6V92eHf2X/hZ4T+HuueCNG8GWOm+G9ch+z6nbWryJLeR4IAknDea2AzYJ fI3HGMmvNv8Ah2r+zf8A9E5/8repf/JNNpsU41Jcu2h5/wDta/CL9m/47fFxZviP8VpvCHirStHg tFtE1W1sYGt2aSaOQG4hYSE+c33H6ADAPXyv/gmH4g1TS/2gfid4E0DxRe+LfhbptrNJY3lwWMPm LdIkEiKeEMkZmJC4DbAewr7K+J37Hnwd+MmqQaj4u8E22q6hDBHbLdLdXFvKY0G1FZ4pFLYHA3Zr T8F/B7wx8CbGLS/h54ft/D1hcEBre1Uus824fNM7Eux2FsMWJG3HSk1rcicXGfPb7tz1JmCqWY4A 5JNVbBYtd12ygi/f21rIZ53UEoGUfIpbGM7iDjP8JrKudcdYXh1PSbmON1Ku0eJUwRzyOnepNF8Q +Rbx2+m69CttGNsdvdQKSo9M/KT1/wD10Sd9EFaTlHlj1PUaKw/Cd/e6ppIur0xsZJGMLRoU3R9F JBJ64J+hFblYHkBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHmtupjvdUBOf8ATpyPxcn+tT1CMf2t rIUYAvX/AB4Un9c1NXu0f4cTkfxMKKKK2JCiiigAooooAKKKQsAwUkBj0Hc0ALRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFV2OzWtGkzj/AEkrnvzG4qxVa44vtKbG dt5H39QR/WsavwMaO2ooorzTMKxdP8D+HNJ8QXmvWOgaXZa5eqUutTt7KOO5nUkEh5Qu5gSqnk/w j0raopAY3ijwV4e8b2kVr4j0HTNftYX82OHVLOO5RHwRuCupAOCRketR33gLwzqmradql54d0m71 PTQq2N7PYxPNahTlRE5XcgB5G0jFbtQ3t5BptnPd3Mqw21vG0ssjdEVRkk+wANAGDffDPwfqmuLr V54U0O71hWDrqE+nQvcBh0IkK7s/jVnxN4H8OeNI4o/EPh/S9ejiOY11OyjuAn0DqcV+cXg39oT9 p79ufx94nuPgzr2k/Df4f6JOIorjUII2aXJPlh3aGV2lZRuKoFRQQCScFvSNa+IXxp+GfwI8Qp8e viUfhxqml+IbW10/xt4d0OPUP7Tt5IXOwRKoXBYH5vLRl2AEc1N0acr7n3Npml2Wi6fDY6fZ29hZ QrtitrWJY4419FVQAB9KyNH+HPhPw9q8uq6V4X0bTNUlz5l9Z6fDFO+euXVQxz9a+Ffjl/wUM1D4 MfFT4QeE9J1eHX/DtzY6XP4o1jUNFmF1cQzCFzPCqkDe8Ll9iq21jtxkYr6N8C/tzfCP4heOfDnh DS9Zv4td8RRvLpkF/pVxbCdUMoJ3SIAOYJVGcZK4HUUXQuV2uez674N0DxRNZzazoem6vNZv5ltJ fWkc7QNx8yFgdp4HI9Kq2/w58J2d1rFxB4X0aC41lXTU5Y9PhV75XJLichcyBsnIbOcnNcjpf7SX gTXPjhqfwksNSnu/G+mW/wBpvLOKzlMUEexHy023Z0ljHXqwHXivT6oWpk6J4Q0HwzozaRo+iadp Wktu3WFjaRwwHd97MagLz345pvhjwfoPgnT5LHw7omnaDZSSmZ7bS7SO2jaQgAuVQAFiFUZ64Uel bFFBIUUUUwCsvVrG8mvLC7snhWW3LgrPu2srDB6d+BWpRUSipLlew07O6Mn/AIqJsg3OmxjsVgkY /q9H2PXGyW1iFcjpHZDg/i5rWorBYWkvsl+0l3Mn+zdVZgW16YDHIS2iGfzU1meItHuIdHkml1S9 u/KZHMUhjCNh1PICg9vXtXU1j+ME8zwvqYzj9wx/Lmr9jTjqooanK+511FMjkEkauOjDIzT6zOsK KKKACiiigAooooAKKKKACiiigAoorxP9tX/k0f4v/wDYs33/AKKagD2yiv58dD+Ffwq0v9kE/E+3 +KFxovxnt9QMdp4ZtdSgMjoLhUDCFFE8X7stJ5hbb8vA5Ffoz8Mv27NY8D/s+/A7R9a8O6t8R/jT 4005nstDt5kgmubdZpY4bqedwQokjjDbyDnDscAE0AfetFfLPwW/bck+IXxQ8UfDDxn8OtT+HfxK 0OxbURoUl9HqCXkaor7Ypo1UM5V0IABBBOCcEVw3jr/goH8Rvg/4fsPFnxA/Zr17wx4GuJ44W1Q+ Ibaa5iL5277URhkY4PEjLzxnJoA+364j4nfFPwt8L9FEviPxRo/hy4vA8VguqahFatcygAbYvMYb yCy8DOMjNfO37Q//AAUQ0n4F+IPhRFYeDLzxloXj6yg1K31CxuzHcxW8rxhTHbeUxmcpIGCb0ycL kZyPj3/goF8cNb+Ongv4Q6xr3w61v4a3UHi2+toNK8QJIlzPbrHZslzteKParl3XA3DMbfMewB+s ek2C6XpttaKd3kxhS39445P4nJ/Gra14D8Wvj18VPB/jbUtF8EfAXVfiDp+n28U8usf25BpkEhdd xSESoTKy9CEyc8VwXhH/AIKJaD43/Zp8ffFLTPCV7Fq3gt44tT8M312Im3u6qu2cI3ync3JQHKMC o4J4uVvU4OVvU+qNguvF1ihP/HpayT4x/E5CA/lvrpv4a/M+1/4K5Lo9vpPi3Uvgp4ktfDOtPHaT 6wboi2hdNxaO2laAJcsASxBMZ4I6DNfR37RX7dGlfBvxV4L8G+E/Cl78S/HXi2CK703RdPuVtV+z yEiOR5WRtu7axA28BGLFRjPXFcqsdkI8sUj3qz+JXhDUPGl34QtfFei3Piyzj8250GHUYXv4Uwrb ngDeYow6HJHRl9RXU1+XX7MHiDWfFX/BWX4ian4i8Mz+DtbuNAZrrRLi6iuntXFvYrt82IlHBADA jsw6HIr9RaosKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACkpaKACiiigBlcl4wVU1rRWCLubzwWxz91f8K62 uV8aErqGh4HBlkB/79k/0qZbM1o/xImWLdL3X9GtpVDxGV5WVuh2ISMjvyQfwr0CuH0kqPFun7sc 284XjvmP+ldzU0/hNcT/ABGNZQwIIyDwRWNceD9HuHEn2GOCUdJbbMLj8UxW3RWhynPDw/qVng2O u3AT/nnfIs4P/AuG/Wgah4hs8C50u3vlxkyWM+0j/gL4/nXQ0UAc6njTT42Vb1bnS3bkLfQNGP8A vrle/rWR4qvba61bQ7iC5hnhxPGHjcMCzBCBkfQ127AMCCMg8EVh3ngvRb5w76dDHIvSSDMTD3yu KTV1YuEuWSl2MWircngmeDH2PWLgAD7l2izAn6/Kf1qlNpeu2f37KC+XH3rSba3/AHy+P5muV05H rxxVOW+g6iqsF8JrhreSCe1uVUOYbiMqdpJGfQjIPQ1arNq2jOqMlJXQUUUUhhRRRQAUUUUAFQ3d sl5aywSDKSKVP41NRQHxG14T1U6ppMazPvvLc+RPuxu3LxuIyeo5/GqnjxR9l0sk4238Z6equP61 maVff2N4iR3IWz1ALDISfuzDOxvxHy/981teMrO5vNNh+y25uZYrmOUopGdoPOMkc4rtT5ongyj7 OrZ9DJoqta3n2i4uIHglt57dlWSObbkZAYdCexFWa42raM92MlJXRJ4c3DxbKP4Wsf1En/167SuH 0LC+MoiTy1jKoH0kjNdxXZD4UeHiP4jE4qG6uobG3knnkWKGNdzuxwAKx9a8UQaTItvEhu79hlbW M9Bn7ztghR7n8M1zTWcuozLc6rJ9snB3LGTmGL/dXp+JGaJSURU6Mqm2xsXXjRrptmkW32he93cZ SH/gI+8/4YHvXP30epzPb6hPetd3tm3mRQoirF7gL3JGeSa1KK5/aSPSjhYRVnqdVpep2+sWaXNs +6JiRyMMpHBUjsQauMoZSCMg8Gub8Bjb4ahQkmVZZlkyMfP5jbseoz35pnijXJo5k0uwk2Xci7pp gM/Z4/X/AHj2+hNdV9Ls8lRcpcqOPtY7mSM6KC0aWTGC6uEONwBICp7kYJ9AfWt2GGO3hSKJBHGg wqqOAKbaWsdlbrDECFX1OSSepJ7kmpa5Jzc2e7Ti4pX3FrJvFOj3bahEubd8C6QdueJB7jv7fSta sPTYdQ1TTUml1EoZAdyrAmByQRyOelXSUnK8Ry7Lc3lYMoZTkHkEUVW0+z/s+xhthI0oiXaGbrjt VmvULV7ahWW2tGS6to4rSV4ZpWi+0P8AIuVzu2g8tjGCcY961KpW+lRWt9NcqzsXJKxsflTdjcVH bJAJpO/QiXNdWLrMFUsxwBySap3mk2Oprme2im/2sc/mOaj1qEXdvBaHH+lXEUPPTBcE/oDXR3Pg fTJGL2qSabL13WblB+K/dI9sVEpWdjnrV405cslcwfD1pqlxeTaZDq0kFhZLuDRxgyZdiVQs2chQ D+Y/DcbwreMST4i1Pn0KD/2Wr2g6Kui2jx+a1xLLIZZZmUAux9uwAAGPatYGsWeRJpybjsc+vhWb Az4g1YnviWP/AOIpkmiatpq+ZpmqyXTcloNT/eK59mABX6Dj2rpKKRJh6P4mg1BltbofYNTUfvLO U4b/AICT94e4rcrP1bRrLW7byL23WZOqk8Mh9VPUH6VirZ674f5spv7ash/y7XTBZ1H+zJ0b8aAO qorB03xjpuoSeS8psbwHDWt3+7kB9AD1/Ct6gAooooAKKKKACiiigDzOx6XTEklrqckn/rq1Wao6 PkWJzx++m/8ARjVer3qfwx9DjluwooorUQUUUUAFFFFABUMlrDJcRTsgaaMEI3pnrU1FABRRRQAU UUUAFFFFABRRUUd1DNI8cc0byJ95FYEr9R2oAlooooAKKKKACiiigAooooAKKKKACiiigAqteXjW rQIlvLcyTPsWOEAscAk4B68CrNMh+XxBojEgD7SRz7xvWVWTjBtFRV3Ygj1KCRijsbeZfvQ3CmN1 +oNRtbXGoRWepsfs+nR3lv5IYYafMqjf7LjOPXrXol3pdnqG03VpBclOVM0avt+mRxSX2l22pWZt LiEPAcfu1JXGCCMEYIxgdK8ueIlOPKbqmkV6KytCeaE3thcSSSS2k7KrSHczRN80ZLd+DjPqDWrQ ndXORqzsFFFFMQVleLNCXxR4W1nRnkMKajZTWZkHVBIhTP4ZrVopAfkf+xD+01pf7BurePvhP8Zd K1Lw/cjUvtsV5b2rTL5gQRsCB8zRuqIyOoIIJ6ZFdL+29+1Ron7VP7H/AIl1bwzpF/YeHtH8Y6fY 2t5qACPekwTM7hBkIASABknHJxnA/S7xN4D8M+NfJHiHw7pOvCH/AFf9p2MVzs/3d6nH4Uap4D8M 63oMOh6j4d0m/wBFhKtFpt1YxSW0ZGcFY2UqCMnGB3NRyu1jbmV72Py9/ak1KDwX8Rv2H/F2tP8A YvDlhpujy3WoOpMcSwyWkkpJA/hQhsdcV6V/wUel07XvBvww/aV+Gup2WvN4N1qON9S06USwyw+c Cm514KpPH5ZH/TdhX35q3gvw9r2hw6Nqeg6ZqOjwhVi0+7s45beMKMKFjZSoAHAwOBXh37XX7OOv fGP4AP8ADL4bTaB4Osby8he9SaJoLf7MjGUxxpChwWlEbHgDCn1pcujBSV0eK/8ABLrwre+NpPij 8fNeg2at461qeKy38mO1SQvIEP8AdMjBP+3YV96VxHwR+F9l8FfhH4T8D2BV4ND0+K0aWMYE0oGZ ZceryF3Pu1dvWi0RnJ3dwooopkhRRRQAUUUUAFFFFABWf4iUyeH9TUdWtZR/44a0Kq6qofS7xSMg wuD/AN8mga3NbTGL6baseS0SE/8AfIq1WZ4bk87w7pT4xutIjj6oK065DvCiiigAooooAKKKKACi iigAooooAK8f/a60XUfEv7L/AMUdK0iwutV1S88PXkFtY2MLTTzyNEwVERQWZiegAya9gooA/OL9 gP8AYB+Her/BPRvEnxX+FFzH49jv7jzIfEa3lu3lrJ+632kjrGV2/wB6PBHrUf8AwUK/ZL1zxR8d fAXxQ034fXHxP8Dabp8Oka54R0mZ4LoQxSSsphETK+Cs3Aj6NGMja1fpDRQB+Zvwv+E+nR+Kta1H 4Efsz+MPhLr9v4a1VLTxX43nvLaWO+e2ZIIYIJ7l4zudv9YwYDA4HWvl3xJ8A/Gvin4CatDr3wS+ MHiH42x6kJbrxNqsF3PaLbGXG2BC5adiMA4R8ZLbgOn7qUUAflp8T/g9491Hx/8AsH3Fr4J8R3Nv 4b0zw7Hrc0OlXDppbRS2ZlW5ITEJQI24PjG05xg11f8AwVC+Hfi/4qal8Nr3wr4V1vxMlhrk0M39 j6dLefZ4kEPzv5SttUsXwT/dP4fohrWoLpek3V43/LGNnA9TjgfUnA/Gs7RbNtP0m1gc7pVTMjH+ Jzyx/FiT+NZylymVSXKj80v2iPhz488Rftm+IJvil4B+JHxN+E01sE8Pab4LaU2aSFYgglKOixKC Jg5ZlbcQ3K4z598CfgX8QfD/AOx/+1HoV18OfFGjajqr6eNK0mfSrjz7hUnclYQUzMFXGWXPHPev 18rM8TXRtPD9+6jLmIxoB/eb5V/UisVN7GCm9EfmJ8Xvgt451r/glL8IvDGmeB/EWoeKbfXlu7nR rTSp5b2FM348x4VQuq7Xj5I/jX1FdN8WvhZ8Q/g/+018B/jnpXw+8ReOdD03wxY6bq2k6HZPcX9n MtnJBIpgA3AhJgwzgbkYErwa/TLT7VbGxtrdfuwxLGPoAB/SrNdR2H5vfs2+H/Hfib/gpl46+Jmr /DPxb4L8N61oTfZ5te0x4kX9xZqiNKuYvMIjJKByVO5Typx+kNFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFACVy3jlTu0ZwcAXm384n/wAK6nPNY/iTQjr9tbxrcG1kgmE6SBA3IVhjB/3qT1Vi 4S5ZJnPafhfFmkkg5KTqD/wEH+ldz615tFayXTSR3U8q3NlcyRLPbuYmYAkA/KeMqRWv4LY2er6n YmWR4zHFcRiSRnPO5WOSe5ArKDt7p1V4OX71bM7OiiitjiCiiigAooooAKKKKAOI8QKf+EyLY4Ng gH4SP/jSVJ4ib/irVXubEH/yIf8AGo646nxHt4X+EgooorM6gooooAKKKKACiiigCO4t47uF4ZkE kTjDK3Q1JpPiGfQl+zakZLiyXiK9UF2Rf7sgHPH94fjRRVxk4mNWjGqtSr9stb3xBq89pNHcRSGI +ZE4YH92B2+n6VaqNYY42YoioW+8VAGfrUlKT5ncqnH2cFEyUg1mHXTewXFosaxtFHvjLFAxGTjj J4HU49quNqWvata+VdXCaau0xv8AZVBkl4wW3HIXPbAyPWrVJVc8krIzeHhKXMyCzsbewRlgiEYY 5Y9Sx9STyT9asUUVmdCSWiCiiigCnpWuXmk6bNptpZyG78+VluZVxCqMxYNn+I/NjaO4NPs7NbKN hvaaSRt8s0hy0jHqTVmirlNyVjCnRjBtrcKKKKg3Cs7w/wDu7e5hyMQ3MqgDsC24fo1aNZ2l/u9R 1WPGF85ZB/wJFyfzBrqw794h/EmadZtnqjNqtzp9wFSVf3kTDgSRn+o6H6VpVl69pJ1K3WS3Ijv4 Tugl6EHPT6GvQYp3tdGpSNlVJC7iBwvrWFD4utzp9xLOjQ3Nup8yBuPmBAIB78kfTIrXsbg3lnbz lPLMsavtznGRnFF0wjNS2ZS0fVI9S8UadDMj2JthJO8dzhdzbdihTn5vvnp6V6T+FcJdWsF5HsuI o5oxziRQQPfmtTwFDIugrM7y+VcO0sMUjlvLj6KASehAzj3rGa6nl4mm4y5m73OoooorM4gooooA KKKKAKWo6XaatbmC8t47iI/wyLnHuPQ/Ss3/AIRo22m3dpY391aCZVWItIZBb4P8GTnn6/lW/RQB XtYnht4o5JWnkVArSMAC5A5Jx61YoooAKKKKAOf/AOE10yMlbg3NpKP+Wc9rIrH6fLz+FIviie4H mWui6hcQH7shVI93uAzA4+oroazte1aLQ9Jub6YbkhTdtBxuPQD8SQPxoA810+6vcXHlaXK0BuZi v72MFQZG+UjPUHNWW1Zos+dYXkQAyW8reB+Kk1Ba6w9rpN1cx2sk53yTs8asYYwzk8vgA4z2qOS+ bUne3uNWtY1Y7TBbYBI7ruJz+VehTqSskmbTpUIxTbdzXgmS5hSWNt0bqGVvUGn1Wmd7c21taxK8 8ziGFGOFHHUnsAAT+FQ2H2oXl+s1xHcxRyCNHjTau4D58cnIDcZz2ru9oubk6nm8uly/RRRWogoo ooAKKKKACiiigAooooAKKKKACqFlpK2d5NOJWfzAQqlQAoLFiOBzyx61foqXFNpvoFwoooqgCiii gAooooAKKKKACiiigAooopAFRH5dU0hsZ23sff1BH9aotfXTawsKoq2isYmb+Jn2B/ywRVq8ws2n yEEiO9t2OP8ArotYVJKcJW6FxVmj0yqmoXqadYXN3IGaO3iaVgo5IUEnHvxVus3xDH52g6mhGQ1t KuPXKGvEOoxtCgnkmvdRuo1invnVlRWDbYlUBFJHBPU8etatVdJcSaVZsOjQof8Ax0VarpWiOCTu 7sKKKRmC4yQMnAzTELSO6xqzMwVVGSzHAA9aWquraeuraXeWLu0aXMLwl16qGUjI/OgD83dL/av/ AGj/ANsz4qeJtM/Z7uNG8G+CfD8gT+2dWt45DMpZhG0rSRS4aTYzBI4/lA+Ynqel8bftafH/APZf +AvjS7+L+i6TeeNLbVLPSvDerW8GLO/8+OaR5m8sqriNYGO0KhBZQwG4V4p+wp+0JoX7CPjL4k/C 34ywXnhmd76OaPUUs5Z03xhkOVRS5R12OjqpBGfUV0P7dnx30j9s79m/xDq3w60vUrvQPh/4ksJr vUriIx/aYpre5jeVYsblRGaEZbBw5JCgc59L31Om2traFy0/a4/aY/Zv8V/CvXPjTqWj+IfAnj4J KLa3tII57CFvKL5aKKMrKizI+1i6sMjOclfRvj1+1B8bfiL+1le/Af4FXuj+F7vR7bzr7WtWhSXz HEKSv9+OQKiiREAWMsWyc7enzV+1L8dPDv7Z2n/s4/Dr4eC81LxHCiW+pW5tJI/sc8iW8ZjyQAwX y5WZ1yoVQc9cewft7fDz4L+E/wBoj/hNLv42a/8ACH4k3VhFfXFvoekXd3LdR7WgSSGWExrC7LEU OZMHbkgZJJ6BZaXR7X+wX+1d44+Lnib4gfDL4pwWn/Ce+C7ho5b2yjWNblElaGUMq/LuSRRhkADB xwMZP2TX5o/8Ekvhnq174y+Jvxcul1Z9D1hm07S77XH8y71ANOZZZZH/AI2GyIM44Ls4H3TX6XVc djGdk9AoooqiAooooAKKKKACiiigApsieZG6ZxuBGadRQBF4Lm87wnpDZzi2RfyGP6Vt1g+B8/8A CL2KkBSoZcDth2H9K3q5D0AooooAKKKKACiiigAooooAKKKKACiiigAooooA5X4qeN4vhn8MvF3i +WH7THoGkXeqNDnHmCCF5Nuffbj8a/K/9lv9lfWv+CjWn+Jfi18YviF4hELanJY6dY6TMieW6ojs UEiukUS+YqqiqCdrEnuf1a8feD7P4h+BfEXhXUCy6frmm3GmXLJ94RzRNGxHvhjX5f8AwH1L9pX/ AIJ4yeI/h9/wpbU/iv4Tur972wvtBSZ08xlVDKskUUpVGVEJjkVSCDyMnIB799ouP+CeH7PeoaT4 w8X33xFEviF5vDNvNJI15dQmGHyLAIxYofPRydmVCksBklK+R/C/hTx/4f8A+ClXwh1T4n6gLvxv 4nhTXb+0QYj03zUukjs05PEccSDA6HIy2Nx+odN/Z78T/t8eAZtQ/aLsdY8CX+m67M+i6L4flt4X trRoIhsk8yOUk7t5O7D5zwBtUfMHxD/4JnWPh79rnwX4C0LSvHup/C7UrOObVfE/2dZfskpM+5Pt SWwhTHlxcOpPz+4rJyV2jKUldo9m/wCCs3hP4w3HgnVdftvGGnwfBqBLGK68NqxS7muzNgOcQfOg YxthpcApnbkCvqH9kuP7X+yr8DrMDPnaRp7v/uxw+Yf1UD8a+cP+CkXib4h614Fufgf4P+DPivxZ oslrp9yni7S7a4uolaKQMYTHFbFS2Ixk+YPvZxXpH/BPH4h+NvEnhvSPA3jD4U+IPh8ngTQLeztt Q1qOeIak7fuy6xyQR7MCMnAZ/vdfVRV0iIq6R9sUUUVsdAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFAHBXUYt/EusRLgKzxz4A6bkAP6oT+NSaQzQ+LrRgMrcW0sTZ9irD+tSeJEEHi y2fbt+0WbLu/vFHBx9cOapySC31XR7jgFbxY84zw6smP/HhXPtM9Ne/h/Q9BoooroPMCiiigAooo oAKKKKAOJ8Rf8jhF/wBeH/tQ02pvEv8AyM9t/wBebf8AoYqGuWp8R7WF/hoKKKKxOsKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACs2FRF4knxx51qrEZ6lWIz+TCtKqOoaPb alJHJMHDoCoaNypwexxWlOXJK5Mk3saFFY2l2q6brNzbRNIYWgSQB3LYO5geSfpWzXqRlzK6CL5l qcr4w0MMBqMUCzeX800RYgEAqS3HsuD7fSte38RafLb27tcxQmUfLGzjgjgj86k1C6ZZ7W0jlhtp LliPPueIkA655GSegHvUHgK5g09ntrqxt0ttRkIhmjXKsemxsjO04yufUiolJRZwVKnsptwXqVre /vdeul0p7Q2ZuD87mTBEWfn25A3HH93PUV6hDCkESRxqERQFVR0AHQVl6f4X07S74XVrC0ThGQKJ GKKGIJwpOB0HStms27nBUqOo7sKKKKRkFFFFABRRRQAUUUUAFFFFABRRRQAVT1PTYNWs2tblS0LM rEA4+6wYfqBVyigCGSJJo2R1V0YYZWGQQeoIqpfadZ/2bNC1lHNAEb/R1jHzcdAPU4rQrjfEuuXs usGxsLk2i2qq00ioGLOwyq89gOT9RVRi5vlQm7as4BbO802azvpbe+s5ftCvBb3UDNFuzhRksCMe 5yfSunsLUWNnDADu2Lgse57n86ffahqOtS2kd/FCkVqWkLwsdssnRTtPIwC3HPNS16uHg4pykrM5 5yvogooorsMwooooAKKKKACiiigAJxyeBQOeRyKq31rJqbQaZC4jkvGMZY/woFJY/kMfiKZocvna PZN38pQfwGKz9onPkHbS5dooorQQUUUUAFFFFABRRRQAUUUUAFR3DNHbyMv3lUkfXFSUjKGUg9Dx SuBa0fwpPqml2l5Jq9xGLiBJfLjij+XcoOMlfery+AYOS2qak5Iwf3iKPqMJV7wTJ5nhPSiRtIgV cfTj+lbn4/pXgupPuzr5V2Ob/wCEA05mJeW+kB/ha7cD9DWT4s8K6VpeiyXVtDJFc+bCqyNcSORm VQerEdM13dcx4/mjXR4InYBpruFVXu2HBP6A0Rk21qUcpdR2FndC8lUC4ztDKGZskY+6PYelJqF1 HcaWlxFJ+6MkUiuAegkU/wBKzm1LSbKeGeSVI9Qh1pJJGMZLiAAAjIHTvimTataXGj3UNtcK8zvK 0MYyWI8xivH0xwa7vbKTlC1lqYctrM9oqN0WRSrKGVhggjII9KkorzTc5uPwTYwx+ULjUPJACrH9 tkCqB0AAPT/CpP8AhB9IbaXiuHZe73kx/wDZ639oo2igVkYQ8D6J82bBW3dd7s2fzNZPijwpo+m6 Bc3Frp0MMsTRuJI0+YYdc4P0rtKy/EWnS6tod5aQOsc0qbUZugPUZoGNorPW08RbPmXS1f2eQj/0 EUmi311dfbY7xIlntbgwHyc7WwqtkZ5/iroUkzicHFXZkeMvhX4L+I3kHxZ4Q0HxQYBiL+2tMgu/ LHovmK2PwrU0fwnonh3Qxo2laNp+maOFKDT7O1SK3CkYI8tQFwR2xWpRVEHJeE/hB4D8B6lNqPhn wT4d8O6hOCst3pOkwWssgPUM8aAn8TTPFnwd8A+PNYg1bxN4I8OeItUgjEUV9q2k291PGgJIVXkQ sACxOAepPrXYUUDuRWtrDY2sVtbQx29vCoSOGJQqIoGAoA4AA7CpaKKBBRWM+rXWo6hNZaVDG8tu cTz3QZYkOBhRgck5/SrK6f4iZlzc6Yi45/cyMf8A0IVPMkaKnJ6mhRWe2h64yjOtW0bdwljn+clN 0C5nurOU3EomZLiWJZQmzequVBx+FCkmEoOKuzSoooqzMKKKKACiiigDC0W71XQrA2I0hrlYpZCk wuUVZFaRmBweRwe9Xm17Wt2F0OHb/ea+A/8AZDV+is+RGvtJGXfeIdbtbaaf+yrQRxIXYfbCScDJ x8grorW4+02sM2NvmIr7c5xkZxWPqyiTSrxT0aFx/wCOmrvhuQSeHtLcdGtYyP8AvgVnKKjsbU5O W5p0UUVBqFFFFABRRRQAUUUUAFFFFABRRRQAVV1C8TT7G4upP9XDG0jc44AzVqsnxLps+r6PPaW0 ixySFc+ZnayhgWU45wRkcUAZnhq1e10eFpRi5uM3E2Rgl3O459xnH4VqjNZ/9n+IWYg3WmxrjgiC Rj/6GKP7E1xtpbWbdPVUsc/qXrl9nJu5yOnJu5o1n+Gc3Gpa5d7sq1wtuo9BGgz/AOPM1UNbtdW0 XT3vf7X8/wAqWMmI2yKrKXUEE9cYJ75rT8FR48P28xA3XLSXLEd97lh+hH5VpCDi9S6cHF3Zv0UU VsdAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHJeN4ilxot0BnZcNCcdcOh/TKj 9KxNfJTSZ5VXc0OJl5xypDf0rpvHUefDk0wOGt5Ypwc4+665/TNYl1ALq1mhPSRGQ59xiueppJM9 PDe9TlE7mORZY1dDuRgGBHcGpKwvDGpJJ4X0ue4kWM/Z0VmkYDJAAJ/MfrS3HjLRLdiranbyMBkr C3mnj2XNdB5pt0VzDePbNv8Aj2s7+7H8LJblFb8XIqCTxdqkoHkaTHD6tc3I4/BQf51HMl1LVOct kdfRXDTa1r87EC5srNe3lQM7fTLNj9KryLqFwWM+s3rFuNsLLEv4bQCPzpe0ibLDVH0O/ZgoJJwB yTWZdeJtJs1Jm1O1jI7NMufyzmuMk0OzuDmeN7ps53XEryHPr8xNWYbK3tv9TBFF/uIB/Ko9quiN lg5dWJqWqW+teJoprNmlhhtGjeTYyqGLqQASBngHpViiisJS5nc9ClT9nHlCiiipNQooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAM/UtHh1BhLvkguFXak0LlSO/0NU4 5ta0uULOq6pa95IgElH/AAHOD+FbdLWsakobEOCvdaM57WtYttUsRY2soee5kWIxlfnQZyxKnpgC tiTT4JLFbQqRCqhVwcFcdCD2IwKmaJGkWQopdeAxHI/GnU6lRzaYlHVuRqeFNce7Dadesf7Rt1yW b/ltHnAkH6A+h+tdJmvPb6CZvLubV/KvrfLQt2PqreqnGDWp4BvtR1KPU7m+n8yJ7lhFExG6HBOV I7cbePx71tCXMjx69H2ctNjr6KKK0OYKKKKACiiigAooooAKKKKACiiigAooooAr3l3HY2c1zKwW KFC7MemAM15zpqyNA1xN/wAfF05uJfZm5x+AwPwrpPHl4fsdtpsbfPeSYkA6+SvL/mdq/wDAqxq9 HCQ3mY1H0CiiivSMAooooAKKKKACiiigAooqrqV01nYySRoZJeFjQdWYnCj8yKTairsDa8F2f2rU L3UmGY0xa27fQ5kI+pwP+AmsWxja1a5s5F2TW07oykY4LFlP0KkGu80LSY9E0m1sYzuWFMFv7zHl j+JJP41g+M9LdJIdWtoS8sQKXKxrlni659ypA/AmvIp1rVeZ9TplH3bIy6KZDMlxEskbB42GVZeh p9eucwUUUUwCioI7WTWtZt9NilkhjCme5ljOGVBwAD6k/oDWnd+EdSscvZXa38Y/5Y3ShJMezjjP 1UfWuaWIhGXKy1BtXKdFQWt0t0HG1opY22SQyDDI3oRU9dCaauiAo0XR4PEGqajHcz3UYtxFsWCZ kGGDZJx7iirvg/LeJNSKn5VtoVYY7lnI5+lcuJbVPQ0p7ml/wgGjEHfDcSc5+e7l/wDiqk/4QXQj ndp0b5/vszfzNdBRXkczOkgtrWKzt44IEWOKNQiKvQAdBU9FFIBp9a4rx5exSXllatgra7r2dsco ACF59zk/8BrtSwVSScAckmvLLfPijWFfawGqT75E6FbaMYGfTIA/77rSnvzPoTLY63wZpEcOjxXU 8MbT3bG5+ZASgfkLn6Y/EmulVVjUKqhV9AMUqqFAAGAOAKdUN31KCiiikAUUUUAFFFFADWrl9N+X XPEEZOSLpHx9YU/z+FdQ1cxajb4o10bcbjA+fX93j/2WrjuZ1PhNOiiiug4wooooAKKKKAMTW1Gl 3lpq8J8uSOaOG42/8tYmYLgjuQSCPpXYDiuP1Z/7bmOkW0bSnzI/tUoHyQoCGIJ/vEDgD1rsAa55 bnXTvy6i1x8K/wDCN6odNk+WwuWL2chzgMSS0JPrnkeoOO1dhVS+0+31O1ktrqFZ4JBhkcZH/wCv 3qVo7lyjzKxUorIm0vVdDjMtpcNqtpGcm0mUecE9EcfeI9G64xmr9hqFvqdqlxbSCWJu46g+hHY+ 1bqSkckouO5YoooqyAooooAKKKKAIroBrWYEZBRsj8Kf4Rk8zwtpBxj/AESIfkoFOIDAgjINQeB2 ZvCOlbhgiBVx9OP6VhU6HRR6m7RRRWZ0BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBkeKNLk 1zw/e2UJUSzJhd5IGcgjP5VfsrZLGzgto/uQxrGv0AwP5VYooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKAKV3q1lp/N1eW9t/12lVP5msqbx1pEefJnkvG/u2sLyfXkDH61zk2mwp4k1oSQ RyOZlkWR0BbayKcfTINXAMDAGBWMqnK7WO+nhfaRUmy63jeWTP2XRrpuOty6RDP5k/pVabxBrlwC I0sbIE9fnmYD/wAdGaj5paydSR1LCwW+pUuotQ1KJ4b7VppYJFKtDFGkakEYI4GcfjVocDFVLjV7 G1z5t3DGfRpBn8qntrmK8hWaGRZYm6Mp4Paobb3NoRhDSBVXQdOVy/2OFmJzl13d89+nNXI40hGE RUHooxT6SldmqilshaKKKQwooooAKKKKACiiigAooooAKKKKAPGP2yNe1Pwv+y/8R9V0bUbvSNUt dLaS3vrGdoZ4W3L8yOpDKfcGvy1g8feOtN/Z1s/ijF+1drUni83BQeAJtbnlvMC5MW4g3LHGweb8 8QXbxk8Z/Tz9ub/k0f4o/wDYIf8A9DWvzT0/9kOLxB+w74Q+NXg2w83xfo11eXetW7g3Ed7axXci iTyX3JmJY1JUKFZN+4Ejnoha2p59fm59Ox+gvgv9rvTfh/8AsleAviT8X71rHVtYs0H2e1ts3GoS 5ba0cQwMvGqyE/Kg39QCBW18Lf22vAnxM+INv4HuNK8UeBfFd5D59lpfjDS/sEt4mCQYvnYHIViM kZwcZr4m/aD+KVx+1F8M/gl8Y9C0ObUrTwLqTQ+LvD+nRmRtPk320m8RjnyZFgbDHgAqpOQcdd8Q PGVl+2h+2t8GNZ+FFtqGp6H4SktrzWdfksZbaGBY7kTvEzSKDkKpUA8M0mBkZNLlXUftJXsn2+Z9 I+J/+Cg3w60XxZr2haNoPjLx03h9ymr6h4U0Y3lpYkEqxkkLrhQVYbgCp2nBNdH44/bU+G3gfwv4 N1cyatrt54vtY7zRNB0Wwa41K7icAhhDkbeTj5iMkEDODj83/HGr+Hvh7r3ifxH8HvHvj34cfEu/ 1D/SPhrJpdxIbqYzncqTIAjxLvdkEqs2DjAJrp/jL4E8feH/AIkfBn4qfE608WeE9Dm8OQWesat4 ET7FfaLMFnUgBEItywlSR12gEPMigEYD5EL209T71+Gv7aXgL4nWvjJLWz1/Q9f8JWM2o6p4b16w FpqUcMS5dhGXKk9BjcMFlzjINeTH/grZ8ERpNpdmz8WefNM0TWP9nQmeBRjErkT7NpycBWLfKcqO M+P/AA00r4Q6t46+IviP4c+KfiX8R9Xl8C6x/anirxTKXtAPs6IkLvJbRyySYAxlgAIxjd0HDfDD SrOb/gkj8UZ5LSFp119XEhQbwy3NiAc9cgEj6E+tLliP2k7aNdfwPRv+ClvjrRPF19+zF4u0q9F3 oF9eXOowXSIx3Qs9g4O3G7OOq4yCMYzX1P4B/bb8A+Pvi8Phs2neJvDHiWZGkso/E2lNYLfKFLAx B23jcqsw8xUyBxzxX56/HLUI9N/Z4/YuvrjeYLY38shRC7bVubQnCjJJwOg5r1zxR4ntv2zP2/Ph zrvwwW+uvDfhG0hOp+JGs5beOMxyyzFf3iqwzvVFDAEszcYBNHKrK/mKNRqba3dvyPpPxr/wUH+G /hPXvEGnado/i/xpb+HXKazq3hfSPtVhpxBIbzZmdQACD8wyODgnFXfiL+318Lfhz8PvBXjV31bX vDvi6SWKxudIt42MTRFRIJllkjKFS2CBk5U+2fz2+EPg3w58EZvG/gD47+O/in8KJ3uXEcXhi7mj 0rWYWTy3JRIJfNLAfePysrAHGDS/H7w74X0H9n34NWvg+x8TWnhebxfqclkPF3l/bJ4z9mXzdqRo qo20kDB75POAciuHtZ2b/rc/QTRf+Cg3wg1zwP4x8YRahqMHh7w1dw2L3lxZ7DfzShzGttHu3sSE b76pgAk4AJHN2P8AwUr+H9xq/hKwuvA3xE0g+KriODSrjU9Ght4LgO6Isqu1xh48yL8ybsDtyM8n /wAFYPhrrviz9n/w/d+HdOmvLLQNXFxe2djEW8qBoXQS7FH3UJAOOgfPQE14J+1H8ffB3x++K37M N54KS+FlY6pFFKtxp8tvHDI1zZfuEZ1CyMm3DbCVGV55ojFPUqVSUW03tb5n6v0UUVgdwUUUUAFF FFABRRRQAUUUUAFVVuJdB1D+0oBI8LcXluh++oGA4H95ePqBirVFVGTi7oipBVI8rOxtbqG+t454 JFlhkXcrqcgipiK8+tTdaHcGfTSGhdt01ixwjk4+ZT/C3H0Peul0fxZYatL9nDtbXo62twNj/h2Y e4zXXGSlseHUpSpvU3aKSlqzEKKKKAEApjyLGpZiFVRksTgAetDSLGpZiFVRksTgAetcN4x8VaVq dvbadFf28sVzKDO6yAqqIQ2Ce244H0zQNK7sdja6laX0kkdtdQzyR/fWKQMVz6gHirW2uU8A6esd pdaj5aR/bJMxbVx+5XhOPfk/jXWZ4oB6OwtFFFAgooooA878RTTQ+I7q7vYJoLZY1hgn2FotgOSS wyASxPXHAFRT3ccFnJc7g8SIXypzkAZ4r0dgGUgjIPBFc/P4H0ea4E62nkNuDOkLFEkwc4ZRwefa uuniHTjy2M5Q5ncx7XwTef2bDcJfyRahIvmSwz5eLJ5246rjpx6dKzrG6N5CXZQjq7RsFORuUkHB 7jivShXM+I/DWki3u9Tkia1uI42le4tW2OcDJyOjE47g0qWIlF+9qglBPYw6KqaVO9xYwtM6vcbR 5m3jaxGcEdjUtsl9ql1cQafaLKICqPNNJsQMRnHQk4BycV6kqkYx5pHPytuyI9Svhp9v5mzzGJwq A4zgEk/QAEn6VNbzfaLeOXaV3qG2t1GRnFQ634X1a2jW4uDHdxf6p1s42LLGcF2wTnnaF4zwxqS2 vYLyNXgmSVW6bWzWVOqqknZ6FSjyomopks0cC7pXWNem5iAKq/21Ybtou4nOM4jbd/KuhyS3ZFmX al0Oz/tTxLDkboLFfOkz08w8IPqBuP5VDp+m6nrsbzWZhtLXO1JrhGLSdcsoBHA9+tdboGgw6Bay RpJJcSyPvlmmxudsAdh0wOBXn4ivGUeWJtCDTuzXooorzjc4vWfC89ndPeaTEJYpCWmsgwX5v70e eAT3FYsOqQSXBtmLQXS/egnUo4/A9fwr01ap6hpdrq1uYbyCO4j/ALsgzj3B7H3FdNPESpq26M5Q UjiaZNMlvC8sh2oilmPsK1b7wPLb5bSLvyh/z7XhaSP8GzuH61nWuhajqOq29pfWZt7WFvOnfcGj lCkbUU98nkg44Fdn1qDi31M/Zu50Pg3S3sdNNxOu27u286RT1UY+VPwGPxJroaKK8ptt3Z0HNeJ/ DJ1D/TrHbHqca4GeFmUfwN/Q9q5qzukvrdJUyAeqnqp7qfcV6RnpXDeKNPbSNUk1FEzZXRUTlf8A llIOA5H90jAJ9R712YeryPlezM5xurmdfXEsHkJBEss88qwoHfau45xk/Xj8RXY+GtB/sWzcySed dzkPPLjALYxhf9kdq5K6to7yFopASp7g4II6EHsRVzT/ABPeaLKianMbyxb5TcFAJIT2LY6r74yK 2xUJy1WxFNr5neUVGsiyKGUhlYZDA5BHrUleabhRRRQBzfjm7eHRfssTMs184t1K9lPLn/vkN+dU fAdiGa71PaBFJi3t+OkaZyR7Fs/98iqvjy9EerW/pZ2ktwfqxCj/ANBb/PTp/Ddn/ZugafbEYaOF A3T72Mt0981r8NNeZPU1aKKKyKCiiigAooooAKKKKAErFv8Awva39812093BK6qr/Z7l4w+M4yAf etqua8Q+KpdEvhbpZJOvlLK8sk/lgbmKgABWJOf50C9SU+CtMYMH+2TbuvmXs3/xVZmraLZeG7jT dRto5IraCZluG8x5MIyMAxyTwGxn/wCtVf8A4TzUpl/caWh3H5fkuW7+0PNC+LvEMg+XRyu3r/os 5z6YyFp6idrWL7eLtHDIo1CKQswUeXl8ZIAzgHAyRyeOa1646ZvEWuTW8D6csESyrMMwGGMlclfM JckgHB2gc47VsbdR0rWLGC71BLxLxZMosAjCMoB+U5Jx9c1qp9znlTsro2aoa9qX9kaNeXn8UUZK 5GRu6KPzxV+obyzh1C1kt7iMSwyDDI3Q1qZIy/Cuv6NZ2Nvai8MM0w892vEMTTM3zM+WGDnPY9q6 4MGUEHIPINYpsbdrVLZoUeBQFEbqGGB04NZ6+G4LUltPnuNLJ/htZMJ0/uHK/pWDgzoVVdTrKSuY juvEGn8N9l1eMZOebeX6d1/l+FXLHxTb3N5FaTw3Fjdy52R3MeA+Bk7WBKn6ZzUWa3NVJM216Vyt 5bpY+LoDCfKW9t5HmUfdkdCmDj+9hjXVDpXJTXo1/XrWS0+a008vvulPyyOy7di+oHUn1Apx3FP4 WbFFFFdJxBRRRQAUUUUAFVvA7BvDNoASQrSp83XiRh/SrNVfBbH+yJoycmK8uEPt+9Y/1rKob0t2 dBRRRWJ0hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFAHIa/oepNrrXlhbwzJNAkcgkl8vDKzfMeDnhh+VZl9b6tpLWb3v2NoJ5vIK2+ 8spKkg5OOOPTvXoIqjqmk2utWv2e7jaSHcG2q7IcjocqQahwT1N4Vpwsk9EclLPHbrulkWMerMBV F9e05mMYukmYjlYcyHH/AAHNdhb+D9FtZC6abblzxukTefzbNakMEduuyKNY167UAArP2S6s6njH 0Rz3gnSILXw9YO1jHBdbPnZoQkhIJGTxnOPWsK3j+zajrFseDHeu4X/ZfDj8PmNeiVw2qR/Z/F18 McXFvFNnnqNyH/0EU6nwmOGl+9QtFFFcp7QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ACUZ9qK/M/w78Wvjv+3t8YPFtr8NfHJ+G3w58OyhY7m3BWSRWZ1iZio3ySSCNm27gigY68tajzGU 6ihZWu2fpjSV8rfCXRf2kPhD4J+KFj4r1O0+KGq6faW9x4OuXKKL2UibzYZT8kmQVhzvb+L5XPOP C/2Pfjj8ZPHP7cnirw98T9Qu9Nmh0i4mn8Kwzn7BZSD7PsEcYd1GEbOdxJLEk5Jp8u5PtbNJp6n6 PUV8r/tDfs4fFn4hePtR8S+Fvj1qXw88OfZox/ZUIl8mDy0/eSFlmVRnBY8V4V/wTU8bfE/4k/Gb x3f6x4+13xv4A0WzksILvVJ5PKubl50MMqRMx2nyopGIySodQfvUuXS9wdRqai1ufo7RRRUG5xHx g8Da58RvBM+j+HfGF94E1gzwzwa1p8QlkiKOGKlCyh1YDBUnBB5rwzw7+xHqusfGDw78Q/iz8U9Q +KGq+HGWTSbX+yINMtoJFbcjtHEzBiGAbjaSVXJIGK+qqKpSa2IlCMndhRRRUlhRRRQAUUUUAFFF FABRRRQAUUUUAFQ3VnBex+XPEsq9RuHQ+o9DVe/1NbBkXyJp2KNIVhUEqij5mPPQZFS2upWt8P8A R7iKb2RgT+VOz3M+aLbjcSKK+s8/Y9WuoVP/ACzmInUf995Pr3q0uteIIeBPYXP/AF0gdD+YY/yo oq1Ukupm8PTl0J18WatD/rdMt5/eG6K+vZl+nep4/HDL/r9HvY+MkxGOQfo2f0qjRVe1Zk8JB7Gm vjrSyp+0LdWoxz59q+PzAI702HXPC15ISLjT1kfKnzVVGOeoO4A81nU2SNJBh1Vh/tDNV7XyM3g1 0kdda3dpNGotp4ZE+6oicEcdhirVeVr/AGDfMFa3t0ZshPMiEe8ZxlSQMjPpV5NHhh/495bq1PrB dSL/ACb3qvaLqjD6rKXwyTPSKTFefpHqMH+p1u+U9f3jJIP/AB5asLrHiG3XatxY3f8AtTwMhHv8 rYP5Cq9pEh4aouh3FFcbH4m1yJR5tnY3Bz/yzleP+Yapo/Gl0p/f6HMq9zBPG/6ErT5o9zN0ai6H WUmTXNL46slJ860v7fA6tbFh9MrmtbSdYs9chklspTKkbmN9yMhVhzghgD3qrmbi47o0aguraK8t 3gnjWaKQYZHGQR7ip6KZJxupeBfJuEuNHNvaMkXlG3kQ7H+YtksOc89TnpW34a0g6JpENu5V7hsy TyL0aRuWP0zwPYCtbPFGeKfM7W6ALWTeeGdI1CV5LjTLWWV+WkaJdx9yeta1FIDFtfCGjWcitHp8 JZfumQGTb9N2cdK04bWG2UiGJIgeSEULn8qnooAKKKKACiiigAooooAKKKKACiiigAqG4t47qGSG ZFlikUqyMMgg9jU1FAHBat4fu9BkaS1jkvdNJz5S/NLbj2H8S/qPeqkckV9bB0YSwyLwVPUGvRzX F+KNBGlmTVrCMqgO67t0GQy5yZFHZh1OOorto4hx92exlKHVGv4LujdeHbZHZmmt828u7ruU4/UY P41unpXGeBb5I7q/0/b80jfbY5OzowVT75BH5EV2SmuSceWTRothaN1DV5veahc+I5bhp7llsUle JLWBiqkKxGXI5YnGcdPaqp03UfLEG1FXZD4lZtS8QajGDkTXFvYJwDx8pb/0Nvyr05a840iwhXxD pNtFEEjWSS5YKOMqpGT/AMCZa9Iq6y5WodiY66hRRRWBYUUUUAFFFFABRRRQAVwXjb934o0qUrkK ImHuVuY+P/Hq72uD+JS7bjTZAFPySZ5wTh4n/wDZTQJneUUUUDE9K53xJuXWvD7dE86VSfrE2B+l dHWbrGjQa1bxw3BkQRyCVHhco6sARkEdOCfzoW4mrqxHRVP/AIQrTWz5r3txkYPmXspz78NT18Ea Ku3NoXK9PMmkf+bVt7Q5/ZeZZorn/CupCOzGlXbiPULHEEkcjrlsAYK88jBHNdBWidzFqzsFVdQ0 u01SIR3duk6qcruHKn1B6g/SrVFAjH/4RsSRiC51G+vLNeltNN8pHoxABYexP51rQwx28SxxIsca jCogwAPQCnUUWS2G5N7hRRRTEFFFFABRRRQAVi2aXOh+ILS3in8yx1CeZ3haMfI5VpCQ3XqOlbVZ epsy61oDL/z9sCcesMn/ANeolsaU37x1VFFFc52BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUlC9K47xodTt547mO6uIdKV cTfZMB4zn7zcElcenTrQNK7sdhXF+Kpo18UaaUlV3kgmheMMCRgqw4/Osz+yba8UyTTT33mD701w 7hh9M4xVm20+1s/9RbRQn1jQA/pXPKomrHpUsLKMlJssUUUVznpBRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAIyh1KsMgjBFfk18Avile/8E0Pi5488F/Ejwzq9z4X1mdHsNX0+FWMqxGQR TR7mVZEdJPmAbchXGM5FfrNUN1ZwX0JiuIY7iInOyVAy/kauMraMxqU3JqSdmj5i+Ef7c+l/FPwl 8TPHsnhLWtD+HvhG1t57W+uoAbnUciYzlFB8v5AkQ2q5I35JGQB8M/Dn9s3wD4W/bu8b/GC9g1k+ FNYspLe2jhtUN0GKW6jcnmAAZib+I9q/YSS1hmtzbvDG8BXYYmUFdvpjpiqH/CL6L/0CLD/wGT/C mpJX0IlTnK3vbeR8bf8ABSr9omfwx8J9I+HfhRpZvFfxAVYRBBzOli5CsMD+KVmEQHcGTuK9+/ZQ +A9r+zn8D/D/AIRjWM6oqfa9WuI+fOvZADKc9wuAin+7GtepzaTY3FxHcS2dvJcRY8uV4lLJg5GD jIwauVPNpYtQ99ybCiiipNgooooAKKKKACiiigAooooAKKKKACiq2oXgsLOSYjcVGFX+8x4A/E4q 9H4LuobOF4dSkW/2DzRcDzYnfvgcFRnpg9O1XGDlsc9SvGm0mQ0tSWPg+6vWnl1OdreVSEt/scp2 qAOXweDknoQelY2uxahpuoQaMLiO7nvkxHLGhjdAWAJIyR03HIx908Vfs5Gf1qF2dB4HtReRz6wx ybomOD/ZiUkfq2T+VbOpeHdO1cZurSN5O0yjbIv0Ycj86uWtrFY2sNvCuyKFAiL6ADAqfNdKVlY8 iUnJ8zOPuvCuoWK7tPuvtsY6296QG/CQD+YP1rJm1RbGZIdRik06djgCYfI3+64+U/nXov40yaJJ 42jkRXRhhlYZBHuKh04s6IYipDrc4sHIyORVa81C209UNxKIg7bVznrjP5cda3LrwNZMxksJJdLk xwtuf3RPqUPB/Sm6H4YuLHU5LvULmK8dIvJgKR7cAnLsVOcE4UcHoPesvZanV9cXLotTLhuI7iMS RSLKh6MjAg/iKq6s00lstranF3dOIIvYnqfwGT+FdHfeB9OuWElsJNNlzkvYkRhv95cbT+VRaV4W ubPWIru7vI7pYI2SLZEUbc2MluSOgxxjrT9nZieKUoNWszXbRLGSwhsZbSGa1hUIkcqBgABgde9Y N94F8tJP7KvprNmBAhmJliAx0GeV/A113XpSY9a3sup50ZOOqZy8fgGxjt40FxexyKqhpIrlxuIG CcEkDPpSSeCJF/49tZu4/aZI5B/6CD+tdXSUWXYpVJrZnHSeFdYjyYtTtZvQTWzL39Q/9KoP9s0/ UhZagsIkki82KSBiVcA4Ycjgjj8DXfk9q5rxzav/AGbDqESkyWMglbHP7o8SDHfjn/gNZygraI3p 4iakuZ6GPfXkdhaS3Epwkalj/hXS+E9Mk0nQ7eG45upMzTN6uxyfyyB+FcxHarrWsWNhw9v/AMfU /cFFI2j6FiPwBrv/AGpUo2VysVPmlyroOooorY4gooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAqN0WRSrKGVhggjII9KkooA8rtbW4spVW2m8i6064lgjkZdwKZIAIz0KlT17Crs0m pXm43Or3ZJ6C3YQgfTaM/maW4jNv4i1uE/8APdZh7ho1/qCPwp9exTpwnFSa1OaUnF2RWmhvbq3N tc6pc3NkTkwybct7M+Mke1FxcW2lWhdykEMY4VQB+AFPvLpLOEyPk87VRRlnY9FA7k0zV/D/ANj0 m3mv1SXUb65jQqeRDGDvKLnvheT3olKFH3YLVgk5ast+AZF1rVrnUVASOGAQojMC3zndu46cKPfr XoHc1yngGEfZL+6wB510yqRj7qAIP1DfnXVjvXlVG3Ntm8dhaKKKgoKKKjk3+W2wKXwdu7pntmgC So43SZA6MrI3IZTkGvNtUjvNa0G1v7+9lHnTrFNDGNsUCsxRsID85BPVia9B02zXTdPtrRTuWCNY w2AM4GM4FO1hJ32LlFFFIYh6Vw3xSj3WNm3GALhT6/6liP1UV3LdK5H4kw+Zo9r0H+kFCT6NFIuP 1FNCex1UMomhjkHR1DDBz1FS1Q0OQTaLYSDo9vGw5z1UVfpDCiiigBKxNW8Rf2fdR2lratf3rLvM KOECJ/eZjwMngetbZNYmraBLqGoR3ttftYzCIwuViV9y5yOvTBz+dHqJ36GVdafdeIb23mv4YbKC 1kWSKOMiSV2HOS+PlGccDrzk9K26or4YvWx5uvXjYP8AyzihTj/viq2qaDe6XYz3dnql9dTQ/vRD cNEUcAgsp+QEAgHoa1UktjCUJS3Zr0Vzfhgaj4l0kXn9utG+9keOK2jPlsD0zznjB+hrVk0fWLVS 6avby89Lq1wPblWFVzon2Ui/RWVY315/a0tjdm1lxAswktc4GWIwQSfT9DWrVp3MmnF2YUUUUxBR RRQAUUUUAFV77TrbUo1juYlmRW3gNng4Iz+RP51YopAZXhext9I17VbO1i8mBooJljUcAkupI/75 H5Guq3Vys8GoWutPqFlFBcJJbrA0c0zRn5XZsjCnP3q1dF1j+11uFe2ltLi3cRyxOQcEqGBDDgjB H+Fc8lZnZCSaNaiiipNAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKwtX8V2OjXcdtKZJHOGk8ld3koeNz+gz+PegDdoqG3uI7qGOaF1likUMrqcgg9xUtAC0UUUAF FFFABRRRQAU1lDAgjIPBp1FAHE614fm0SR73TomlsmYtPZRjJTPV4x/NfyqG3uI7qFJoXEkTjKsv Q12txcR2sMk0zrFHGCzOxwAB3NeZWsl7rWsanqGi6eF01OGjbK+e4bJZQf4yCTjp0zyaxnTvqjuo Yhw92WxuUVBZ3kV9CJYW3LnBB4KnuCOxHpU9cp66fNqgooooAKKKKAI5po7aF5ZXEcaDLM3QCqkl 1eJaNf8A2Ix6YjqrSzEpIVJA3hCPujPU9uaXT7Uap4rgxb/b7W3UicPjy4G6q3XluBxg+vFeiMoY FSMg9RXRCmmrs82tiJRlyx6Hn9xfxwLDtDTyTHEMUI3NIcZ+UfTv0pi6tB9lnmlzbm3JE0cvDRsO xH8vWus03wxp+j3kl1bQeXLIuwDOVjXqQgP3QTyQKdeeHNOvtSgvp7ZXuIsYbnBx03Docds9Kr2S M/rkr7aGDp3hW41aH7Xf3F3YPJzFbQuFMa/7fBBY9cHp09ank8G38YP2fWd/TAubZW/VStdbRWnK trHL7Wd73OLk8O6/Hyj6dcD6yRk/o1Qtp+uwthtJSYd2gulP5bgtdzupc+1T7OPY0WIqLqefyTX0 K5l0XUF/3I1k/wDQWNRJq0DTJC6zW8rkhVuIHj3EdQNwHPtXotcJ4i1NPErtp0AD2EUgNxcYB3sP 4EPserD6ColTilc3p4ipKSilckooormPVCiiigAooooAKKKKACiiigAooooAKKKzNSVtWjls7S9E EsbL55T7yqecA9iaBSdkadFIo2qBknHc0tAwooooAKKKKAI5oY7mJopUWSNuCrDINQ2q32ktu0+/ k2drW6YyxY9Bn5l/A/hTYF1TUBc3Fhaw3VtDKYfLZ/Lkdh94gnjAJxzjoaQarDHcC3ulexuj/wAs bgbSfoeh/A1pacdUcjlRquz3Nm08aCH5dWtXtWH/AC3gDSwn8QMr+I/GsHyf7cvLjVJvOhmklJtp FYpJFGOEx6ZGSR/tGtCSQRRs7fdUEn8KrQpq7WMF4dOW5tp0Eqi1lDOikZGQcbjjH3avmlJaGXsq VGXvPctW2uavo6NuePVLdRn983lyr/wIDDfiB9a6zS9QGqabbXiI8azxiRVkxuAIyOlefTXkesSW +m2smZrqYRSx/dkij6yEqeR8oI59a9JihS3iWNFCIgCqo6ADoK1g5NanJiIwjK0CWiiitDlCiiig AooooAKKKKACiiigAqKaFZonjcbkdSrD1B61LRQB5fo0N/o93d+Rc7L63YW0sVx86SIvMZ6AjKkH I656V0lr42WM7NUtH07nAmDeZCfqwGV/EfjVXxRa3lrr0V1aWU17HdQ+XIkPOJFPyk54UEEjOe35 lv4c1jUIwZp49KVsnZGBNKPQE/dHfpn61l717LY7H7KUE5O0jr7W6gvIVmt5o54m6SRMGU/iKnrJ 0Lw7Z+HYJI7QOTI26R5G3M7ep7D8AK1q1OMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKAOX8ReGZr28F/YyRx3WwRyRS8JMoyRkjkEZPPNcXqGvXGnyNA9iHuRwIobhJTn3CE kfiBXTeNPNuNasrZppRZvbu7QpIVV2DKPmx1HNZvh3w3Nq8MxSePTLOOZoQlrEDI4U9Sx4H5HrXZ TlKEL81kZSSbtYyrC6vraQahcxW9vcgEJLeOGSDJ/gQY+bHdjn2Azm5HJf65dRTxJeaxIrExyMBD bx7h2JAH3fTPX3rtLPwjpVjIZRbCefJ/fXBMrc+menpxW2aylVV7xWvdlcvcy/DOmyaPoVnaTY85 EzJzn52JZufqTWtRRWBYUUUUAFZniHUm0fRLy7QBpIoyUHYseFH5kVp1zvjNv9C0+Pr5moW6kY6g OCf5UAY2r6aNM8DTWZbc6QhS44zISPm9huOa7rFcr4it57q1to4oHuoxco88MbKpeNcnHzEDGQvf pU//AAkWqMDjw/KD2DXUQz+RNaSTvoYU5K2rOjwKMCuabXNaZiE0WADsz338wEo/tLxC+0iz02P1 DXEjH9EqeVmnPHudLWF4t0m51fS1gtPLMyTJKFlJCsAeRkDjiq7XniNgdp0uM57pI3H5ikt9W1Oz 1e1t9Sa1lt7vckckEbR7JAMhTljncAcc9qOVrUOZPQ19Cs5dN0WxtJyjS28CRMY87SVUDjP0rQoo qSwooooAKKKKAEpawbrxjplvKYYZWv7nOPJskMrZ9CRwPxIqmdU17Uv+Pe1t9KiJB8y6bzZcf7i4 AP1J/wAHZvYlyS3Miz8K2VhrV/p5Nxbhj9qg+z3Dxho2OCMKeqtx9CtaUXg3RYVx/Z0LnHLSLuJ9 yT3qaz0Mw3y311e3F/eKrIskxAVQSM7VAAHStOt4x01OWUrvRlWx0my0zd9ktIbbd94xRhSfqR1q 1RRVmYUUUUAFFFFABRRRQAUUUUAFZfhqZIdd1y0MvzNMk6q5w5zGAcDqVGBz0rUqpqGk2uqIBcRZ deUlU7XQ+qsOQaiS5kXCXK7m+DS1yK6pf+GTGt7L/aGmNIkYunOJodxwC/GGGSOeD9a61WDAEHIP Q1g1bc7E1LVDqKKKQwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAr3V1HZ28k8zrHFGpZ 3boAOpqjo2vWevws9o5LKcPHINrr6ZU9iO9ZPjayu7mG0mRGubKBy9xax53P02tj+Laedv8APFYj RrfCC/sLjy7pVzDcJ0I/usO6nuDWcpcr1OmnR9pFtPXseiswVSScAcmlGa881C8vPFHlxX9t9kso sF7cPu8+THUkfwDsO55PSiO+1lbJdJWQxW6HA1BX/emLsgHZu270HrR7SIfV6lk7bmzr3iWZrltO 0tl+0r/r7pl3LB7AdC/t271iRraaOoEkwWSZ/mlmcb5XPcnuab8mn+TYafbiW7l/1UCn83Y+nqTX R6X4PtoY5H1AjUbuZCkjyL8iqeqovYe/U+tRrU9DovDDK28jDs7ybwzMZbdGn01jma0TrGe7xj+a 967ezvINQtY7m2kWaCQbkdehFcTqGnz+F2y7Nc6RkBLhjl4M/wAL+q9MN78+tR281xolw19pw8yK Qhp7MEbZR/eX0bH545pqTi+WRE6caq56fzR6HS1R0vVLbWLNLm0kEkTce6nupHYj0q9WxwhRRRQA UUUUAFFFFAGP4k0IeItO+xm5ltV3hy0X8WM8EdxnB+oFXNN0230mzjtrWMRQRjAUfqSe5PrVyigD mPEHhlppn1DTSsV/x5kbHCXAHZvRsdG/PisWzvFvFcbGjmjbZLDJw0behr0CsHXvDK6lILu1cWuo IMCXHyyDH3ZB3Hv1HaspQ5tep10a7puz2MXOOvFFYN9p41SSS3EzahMrbHvAAlvb9CREAdzPxjce P5VuQx+TCke9pNqhdznLHA6n3rnlHlPUp1Paa20H0UUVBsV9JjnXxRGNN3IDg3/H7op2z/tntjnG c8V33NcT4V1KLQZDpt6qRGaQvFeYwJ2J6Oez/oR0xjFdvXbH4TwKzbm7qwtFFFWYhRRRQAlFLXLe KNekjm/szT5FW9kXMsvX7Oh/i/3j2H40ttWVGLk7Ir+JNabUJ5NKsZiir8t3cIPuD/nmp/vHv6D3 qpDDHbwpFEgjjQYVVHAFNtLWOzt1hiBCr6nJJPUk9yTUapcaxfNp9i3l7QDc3XUQqew9XPYdutcr bqOyPXhGOHheW463tptev2sbZ5IYIz/pV1Hxt7+Wp/vH17D3qDS3a3VtPuN6Xtvw8chyxGeGB7gj HNdzpumwaTYxWtum2GMcc5JPUknuSara1oMGtRoWZoLqHJhuY/vRkj9R6g8GtnTXLY444mXtOZ7H PVQuNYgt9SgsQHluJeSsYzsHq3pVLWtYvtG/0Ce0Y6s52RbBmOTtvU+nseR+tTaDov8AZcLSzt51 /N800x5J9h7Vz8vLueiqntLchrUUUVBuFFFFABRRRQAUUUUARXVwtpayzv8AdjUufwGayvCtuy6e 13KoE945nbHoeg/L+dN8VM1xBa6chAkvJQpz/cXlj/KtqONY41RBtVRgAdhVbIy+KfoOoooqTUKK KqTST3N1HYWAV72QZJblYU7u3t6DuaaTbsiZSUFzSI7rVorWYxBJJ2Qb5vJXd5K9NzY6Dn+tO+1S X80NnphSa6nXeH6pEn/PRsdvQdzXY6Jo0Gh2fkxFpHY75Zn+9I56sf8APFP07RrLSTP9kt0thM/m Ps7n+g9hxyfWulUkeXLFSd0kO0fTItF06CziJcRjl26sxOSx9ySTU91ZwX0LQ3ECTxN1SRQwP4Gr FJWxwHnPijw+tldadpmlSzwPqDNG8JkLxpEBl2G7JU89jjrXoUUKQRpHGoREAVVHQAdBXmOv6g1x fXOtxzzQiGdILeeI8pCpAdgOjAnfwRzxXqVSra2NJcytzETQRtKspjUyqCocgbgD1ANTUUVRmFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAJS0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQBxXjRQviDSGJ5aGdQPoYz/WrngFv+JfqC7t22+kH0yFOP1qt442jVtEYj5s TqD/AMBU/wBKm8A4WHV48HIvS3PvHHXS/wCCvUj7R1lFFFcxYUUUUAZ+satFo9mZ5FaQlgkcUYy0 jk4Cj3rD8vX77M0mpR6aWwVtoIVlC9MhmYc9+mPxp10p1Dxi5c7odPtk2RkceZIWy31CqB+Nalax imrs56k2nZGbF4kvNNlEOrWcjL/DeWMbSRn/AHlGWU9PUVAskviHV7e88qS30+z3GFZkKvNIy4LE HkKATj1yTWzRVciTuQ6jasFFFFaGQUUUUAFU9Y086pp8kKv5U3Dwy945FOVb8CBVyigew/QdU/tn TIbgp5cvKTRd45FOGX8CD+laJ5rmtFZrHxNf2e4mG5iW7RWY/KwO1wB6fdP4/l01cr0djti7q4tF FFIoyPE+pSaT4fv7yAKZoYiybuRnoDWVJ4fF9k6neXGpZz+7kfZF6fcXA6eueprf1TT4tW0+4s5t wimQxsR1GR1HuKyk8IDaQ2s6q4PrMox+SCqi0tyJJvZli3tobSMRwRJDGOixqFH5CpKqf8IZbMxL X2puD1U3sgB/I1nXmjw6HrWi/ZTcYmkljlMtxJICPLZgMMxHUfpWin0MHTaV7m5RRRWpiFFFFABR RRQAUUUUAFFZPii8nstJaWFzCu9VmmUAtHGThmUE9RVtvBtpLzLdahM3q15IP0BAH5VnKXKaRg5K 5borFvtOPhGZb63kml01sJdRzO8rRdcSgkk4GcEenPatlWDqGUhlYZBHINOMuYUouLFoooqyBska TRskiK6MMFWGQfwrlNAvL61vLmbTNOdtLYNGlrLchVWRXIJA52g46Yrraw/D/wArapF837u+l+9/ tYf8vmrOYpVHTjeJqaf4ot7m4S0uo306+b7sE+MP/uMOG/n7Vu/w18LeFf8Ago14N+I37TEnwYk8 LSrZyarc6RB4gkvVeGaaEOFIj2ZAd02qQ38SnvX1xDoLaWQ2kXcun458jJkgY+6E8f8AASKwNViO WyqKx2PWjpXN2viprWZYNYg+xM3C3SEtbuc4xu/gPs350l14pnea7g07TJLxoH8rzWlRI920Huc4 GR0FB088bc19DpetGBXMNfeIm3bRpkfpkSP/AFFfLvx3/bC8ZfBv9qT4U/DQ6dod7ovizyDfXbQT +fAr3DRN5eJOSAuRkHmgmNWEnZM+ycUH3rnW8a2PPlwahPg4/d2Uv58rUN14oubryodNsLiKaRhm a9t2WJF5JJGQSfb3oKc4rdnU0hFYHhXUr7Ul1AXrwyG3uDCskMZQNhQTwSe5x+Fb45oKTuri0UUU DCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooASuR17w3LazSajpUYLnmezUYWb1ZfR+v1+tdd1oqWr6MqMnF3R5xa3Nz4gmFv pO0Mo3TTzKdsPXCkddxIxjtT7b+0dSkksreya3voztnaf/Vw++f489QB1HXFegLGse4qqruO44GM n1NSd81Hs4nQ8TUfUytE0C20KBhCPMuJOZrmTmSU+pPp6DoK1qKK1OUjdFkUqyhlYYIIyCPSuH1T R5PC8jzQq0mjn5mUcta/1Kfy+ld3TWw6kEZB4pNKSszSE5U3eJ5/H59jc/2hpciiV9pkiLfurhff 0ODw39K6/Rdbt9ctWlh3I6HZLDIMPG3oR/nNc3rOgv4fY3WnxtLp3Jms05MPcvGP7vqvbt6VRXf5 0epaXOqXJUYbrHMv91x6e/UVkm4Oz2OuUI11zw36o9FIpAcVkaH4hh1wSIEa2vIv9bbyH5l9CD3U +orYIrY4XoLRRRQIKKKKAEoApawta8UQaQy28a/a9QcfJaxthsf3mPO1fc/hmgaTbsjQ1HUrbSrV ri6l8iJcDcQTknoAByT7CuN1HULvxPlZVay0zdkW5GJZh/tnPAz/AA/nUfkT3t0LzUpRcXQOURSf Kh9kU/8AoXU1brmlU6RPTo4W3vTGRRJBGscaLGi8BVGAPwp9FFYHohRRRQBHcW8d3C8MyCSJxhlb oan0PXpdIuodOv5HntpnEdtdNlmDE8Rv/RvzqvcXEdrA80rbUQZJ/wA960fDegyyTJquooyT8/Z7 Zv8Algp7n/bI/LpW1O99NjgxXJbXc6yiiiuo8kKKKKAOe8Ta9Jpuy0swH1KcZTdysa9C7ew7Dua5 +zsxZxsNzTSSNvlmkOWkY9Sa6bX/AA7HrkaSLI1rew/6q5RclfUEfxKfSsd/B+rMoT+2IQrcMy2h VwPb5yM1lOMpbHbh6lOmm2tSg3n6lerpti+2dhumn27lt09T/tHsPx6V2ek6TbaNYpbWy7Y15LMc s7HqzHuT60ml6PZ6LaiC0hWJOrHHzOf7zHufc1oVUYqKMatV1HdhRRRVmBja7oEWuRwsZGt7q3Ja GePkpnqCD1BwMj2rlFmnsroWOoxiC76I658uYY6of6dRXoeOKo6tpNtrVi9tcrmNuQynDIw6Mp7E etRKKkb0q0qT02OWoqrJHc6PfLY37b95/wBHusYEw9D6OPTv2q1XI04uzPbhONRc0QoooqSwoooo AKKKhu7lbO1mnf7kaFz+AzQHwmTa/wDEw8T3M/Jis4xAncFzyx+o6VuVjafZ3nhuw87ULUmK4P2i S7h+YKzYJDr1XGcZxithWDKGU5B5BFXJNMwozjNXTFooqpDqlvNeSWgfbcR9Y3GCR6j1FQbXS3E1 O+On26uqhnd1iTcdqhmOAWPYe9dX4e0RNHtCDKbm5mPmTTt1dsdvRR2HaueZVkUqyhlYYKkZBFN0 XVZfDt5bWLs0+mXDiKBScvAx6KO7L+o+lb02tjgxUZyXMtkd5RRRXSeUFVdRmNvp91MDtMcTMD6Y BNWqzPEknk+HdVfGdtpKcfRDQBxXhPT49Q1DSredd8NnZLc+XnKtIcKpIPp8xHv9K9HPSuI8Cx41 a74UeTZW0fuMlzj9P5V2FzeQWq5mnjhHrI4X+dRHY1q/GyfPtSfhWTd+KtJsVUzajACwyFRw7Eeu FyccHmuevfiBMs4e2tYxa5ARbqTypZ85+4O3tnrVNpbkRi5bI7jbS15zrvjq7+0Ri3M+nxNxHGsK yXMx4JOw5Cgcj1NM0X4lT2MaLr8MkcckQlt7pUAMo55Kg49On49aL3HKLjuek0Vw6/FfRWuFUJde UT80xQbVz3wDnt6ZrqtL1S11ezjubOZZ4H6OufyIPIP1pkF6iiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDlPHFpPJHp13DDJP9nmY yLEu5gjIwJwOTg46VX+H9wl1NrMkUgkiaaMjH/XMA/Q8V2dRJEkbMURVLHLFRgk+pq+d8nIK2tyW iiioGFFFFAHLa4Doesf2qVY2VxGsN2yjPlMp+Rz/ALOGYH04NaMciTRq8bq6MMhlOQfxrUdFkUqy hlYYIIyCPSsN/BGitJvFgsXOdsMjxr/3ypAx7YrSMraGUqfM7kF7r1rZyeQha7vDnba2w3yHHqB0 HucCoZtS1SztzdXej+Xary/lXIkkRf7xUDBx3wT+NdDY6XaaZD5VpbRW0fHyxIFzj1x1rO8UakbP TWt4h5l7eBoLeMdSxByx/wBlRyT7e9HM+gvZxS1JY5FmjSRDlGAYH1BrMaO51zVJ7SG5msrO1AWa aALveQgMEUkHAAIJ47gVd021+wafa2ud3kxLHn1wAP6Uzwdt+x6gwPzNqFxu9iHI/kBVTbSM6aTZ TW2m0TxBBa/a7i6tbuGRx9oIcrIpXocDA2k8e1a9UfGWbW3stTXOLG4VpAP+ebjY35bgfwq8CGAI OQacHdCqKzCiiitDIyde8yy8jVYI2lmsiWaNQNzxn76jg/Xt0raXxBpflxSf2jaqkgyhaVRu4z3P pUdUf7D03y3j/s+1CN95RCoB/SspRu7m0anKrHR0tcrocr6PrT6S7SPaTxmaz3sW2bcB48nnHII9 q6qsXodKd1cKKKKBhWD4os7m4htLq1Ebz2c3n+XJJsV12MrDdjjhup44rZkkWCNndlRFG5mY4AA6 kmuA1nVrzxpfDStM+WxwGklYcMv95v8AZ9F/i6/doEyBPiLPcSCO20SaeYruEaS7mb3AVSSOOvSp bfxZrNxMkT6GdPMzFIjetIis2M4zsxnAPpnBrstF0S20GzEFuvXmSVuXkb+8x/zil17S/wC19Knt 1by5sB4ZB1SRTlGH0IFXzMz9nErWRuTbIbtYluOdwhJKdeMEgHpipqzdH1pNTUwyI0F/Eime2kRl KE5BxkcjIPIzWlWyOV6PUKKgk1C1hZhJcwxleoaQDFV21/TIxltStFHvOo/rTEQX0c99r1nYrd3F nBJbyyFrfaCWUoByynsxq0vhFfl36tqkmPW4C/8AoKis+PU7HUPFuk/ZbuG5ZIpwRDIHxkL1x06V 2NYSep1wiuXVHOSeBdOuIzHcy313GeqzXkjA+2M10lFZGteIbfQ41DpLcXMis0VvBGzu+MZ6Dgcj k1BpsabRrIhVlDKwwQRkEelcldWb+FZrQW9xu0y4uVg+zSjJhL5xsb0z/Cc4zVJfiJqFyubXw9cS cZzmRuQcEfLGc/nVS41rWdc1DTklso7F45XlijuYplR2CEckqOQCaadmRNrldzs6KxW/4SAsMS6a q98xSE/+hCk+z67JuzqVpF6bLQn+b1vzI4OeHc268U/aJ+KyfA74RfFTxf5qx3Om6es1nkcfapYx Dbj3zLsz7V6h/Z+sNt3a0o9dlooz+ZNeT/tFfsv2P7Sngl/DHiHxRq+m2Mt3BdTPpiQo0vlCQJG2 5GBXdJu6Zyq81MpXFz03o2fiHZeOvCHhT4Z+BNV8PyahF8XdF8TzaxdXktuBA0P7owKJd+5ij26t gqOZ5Oa+5v25PFs/xg+O37Kd94W8QX3h238XpYy2uoWMn7y1+0XcGyQLkAvHvzg91wa+4fGf7LPg bxp8BG+E8tkLLQxplvpsV5bRRi6jWDYY5A5XBfMakkjnn1rzDTf+CdvhLT7n4QzyeLvEV43wzuhc 6V5xg/fgXguljlIj5UMNo24O3jtUFe2hJqXa58x/tR+EvEX7Ok3wu+Avh34i+Jv7G+IniRr7XfE2 oXf+myGaS1tjH5q4PlqN0jKSdxYZOOvtvxQ+Bdh+w/8ADvxl8RPhh4q162u7bw1dW39g6rqL3kFx cNJCqXyxuceZDlmPylfmHCjIb6I/aH/Zl8DftPeF7TRvGdpc77GUz2Gp6fN5N3ZSEAMY3IIwQBlW UqdqnGQCON+Hv7FPh/wnrl/qvibxr4y+J811o8+gi38Y6oLyCKym2+bGqBBgtsUE57evNBn7ROKu /XzPhG6+Fc9r/wAE/wCD9pCPx74s/wCFrm6W+bVxrc2H3al9k8nbu7Kd2eu4Efd4rS8afELVfit+ 01+xb4s10AavqmmabNdsqBRJL9tkVpAo4AcruwOBur6gH/BL/wCHv2RNBfxt4+fwCl7/AGgvgtta X+zRLnP3fL3Y5POd3P3s816P46/Yz8HeNvi18NPHUd7faJJ4Aht7bStI04RLaeVBIXjRgVLAD7vB HAoL9rC/3/8ADHxB8dtU+Hnxd8dfF0+BPDPxR+InirSZLq5vPEVnrf2TTNFlUOB5K5wYVMbYDLl9 j7TjBr6k/wCCYPxO8RfEb9leC98Vaxc6zdaZq11p8d7eymSYwIsboHduWx5hAJOcADtU2pf8E4/B T+MvF+t6F428ceELDxaZH1nQ9D1VbezumfeSrAJuKbpHOwsR87AYU4r0L9mH9lvwz+zho914L027 utf01i2orJq6xtKsjsFYDaqjGEXt3qCo8lVciZ7h4JjK+G7WZ12vcl7lvfexYH8iK3qijjWCNURV RFG1VUYAA6ACpaD0QooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooATrXFa7ocmizSX9hGZL NzvubVByh7yIP5r+Ndp0petS0mrMuMnB3R500QvRb3tnceVcx/NDcJyMHqpHdT3FdPoHiZdU/wBG uU+zalGuZIOzDON6Huv6jvWTrWgTaNNJfadE0tpId1xZxjJU93jH81/Ks+SOHVLeKeCba6/PBcwn 5kPqD/MfhWN3Tdnseg4xxMeaOkj0SlrmvDviR7yQaffqIdRVcgjhJ1H8Se/qvb6V0lb7nnOLi7MO tNYhQSTgDrVXUtTttJs3ubqQRRLxnqST0AHcn0rjdQvrzxMzC4EllppxttOBJL0OZCM4H+yD9aUp KO5dOnKo7RL+q+Kpb95LXRyNqtskv+Ci+oQfxH36D3rH/caTHwJZ7i4k6Z3zTufr1P6CpI5Jbq4F jpcAkmVgrvsPkwDr8xHGcfwg5rptD8LwaQWnkYXWoOcvdugDf7q9dq+wNZWdTfY63KGHVo6yOds7 6K+jLxkgqcOjjDI3ow7GrFaniLw019Ib+xIh1NQAcnCTqP4X/oeornV1iBbeaSfdbSQHbNDIMOjd hjvntjrWcoOOx1UsQqi10ZeoqlJJfaeIJNTtVtre4+46tnyyeiSehI79O1XahxcdzohUjUV4sKgv ryLT7SW5mO2KMZPr9KnprKsilWUMp6gjIqS3e2hkQvc6ta2WoC3WKeCTzoraY7kkHbd746Hsea7v RNet9ctmeINFNGdk1vJ9+NvQ+3oehrnKrXFrItwl5ZyfZr+P7sn8Lj+647qf06itoVLaPY4a2H51 zLf8z0EiisXQPESazHJG6fZr2Hia3Y5I9GB7qfWtuuo8lprRhRRRQIKKKKACiiigAooooAKKzLjX bG11KGwluVjupRlIyDznOBnoCcHAPXHFXLm6is7eSed1jijUs7t0AHU0AUfEEdhNpNwNSCGyVdzl +MehB7H0xzmuO0Y3H2FTcbj8x8vzMeZ5f8O/HG7HXFQ3muyeKtU3LZXc9lbEGG3hiLfMejyHoDjo p6A5q4o1ObPk6JeMR/z1aOMfq1YVLy0SPQw7jTvKUvkWKKq3janpvkveackFvJKsO/7QGYFjgcAf 1q1WDi47npQqRqaxYUUUVJYgqneW/wDaV7p2m9RczhpBnB8tPmbB/AD8au1Z8H24ur691KQcxsbS FT/CBgufxOPwWtKavI5cTPlpvzOrdFkUqyhlYYIIyCPSuJ1bQ5fDIkuLRWuNKB3Pbjl7cc5ZfVB6 dR2ruaOtdbSkrM8eE3B3RwsMyXEKyROskbDKspyDUF/ptvqUe2ZMsPuyKcOh9Qe1Xdb8Py6PNLf6 bE0tqx33FmnUHu8Y9fVe/aq9tdRXkIlhcSRnoR/KuSUXBntU6sa0TMjk1DSpBHMrahadBMg/er7M o+99RzV23vE0XXl1C9QzWbIIll/59Serbe4PGW6j6VbpGUMpVhkHgg0lKzuVOlzxcbnarIsihlIZ WGQwOQR61JXn+n6hP4XbCK1zpGSXt1GXgz/EnqvXK+/HpXc2t3DfW8dxbussUi7ldTkEV1xkpK6P FqU5U3Zk9YXjaQR+EtWJ/wCfdh+YxW7UbosilWUMrDBBGQR6VRkeUrGl9fTLY3FzqCzKiPaWYG1t nTfJ0C89yOp+ladr4FvWkLix02yPTfKzXD/UcD+fb0r0KKNYUCIqoq8BVGAKkqFFG8qrbulY84uf A+r2MNxc2txbrIifJBYxBPNO4EsQ2RnGeO/HNZ1loFhqUMtxcSyag0vy75+Gjx/Dx0IPWvWFrmNe 8MO1w9/pe2O7OTLAxxHccd/Rv9r86Uo6aF0qqUvf1RyL6LbaJazPZxNLfz/uYWdtzlm4VRnt/QV6 LZaTDa6Ta2Mkcc0cMSJhlBUlQBnB+lc/4b0m5vL+PUr+3a0jhBFtayY37iMF2HbjgD6muwzRBNLU VecZStHZEFxZwXcBhngjmiPBjkQMv5Gsm+8H6bd3H2mGNrG8BBW4tTsYEdMjofxFb1FaHMc//ZOu r8y68jsOiyWa7T9cEGo4/EV1o+6PXYVgVfu31urNAw/2u6H68e9dJUbosilWUMrDBBGQR6UARfbI GUMJoypTzAd4wV67vpweah03WLLVo3ks7mO4RDhmQ9OMj9Kot4K0Jg4OlWx3Yz8nPHTB7fhUl94T 0nUir3FhGzqgRXTKMFHAAK4PSgDZormdKkutH1s6Rc3JurWSEzWskv8ArFCsAyM38WAQQeuAc101 ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAY2seII9NmW0hia81GRQ6W0YI+UnG5mwQq57ms/T9OnF49/qEizX8g2jZny4U z9xM/qeprT1bQbfWHjkdpbe5iyEubdtsig9RnuPYgiqMnh3UYV/0bXJic5xdQRyA+3AU1cWluZzi 5aItzzJbQyTSsEijUuzHoABkmofBsLroMc0i7HupZLnBGDh3LLn8CKorpGpa1MINWjjtrGI5eO3k LfajnjPdU9jya62iUr7CpxcdyC4t47m3lglQPFIpR1PQqRgj8q57/hG9R03aumakv2dRhbW+jLhR 6BwQ2B2zmuopvFTexo0nuc0uja5N88uq29q//POG28xOg7sQeuTTZbHXtPTzEuLfVkXrD5PkyMPZ txGfwAPtXUZFGRT5mTyR7GDpuow6pZpcQNlG6huGU91I7EelWarX/heK4u5LyzuJtNvJOXeEgpIe xdDwf0PPWoG0vxBFhYr/AE+cf3prZ1b/AMdfFaKa6mLpPoc5fSS6t48+xC8a1S3gBBRtknIywQ+p BGT1ABx61tXHh1Y7dzaXmoQzBfl23sh3HBxncxFZGpeG9Tj1Rb25hmuUMyTn+y5ATuUYUFX5xjPR sc9KuR6hqVx4msjNBNYWEkcixwT7Q8jAAsSAT04x+NCaY2pLY0NL8a2Mel2v9pTTWt2IkWbz7eRB v2jdyVx1zWi3jDQ1iLnV7LA9J1J/LOap6lq32C4trZLWe8uLgOY44AvRcZJLEY6is+ax1PWrqKIa a+jwsSZb4vE0oXaeFwSQST17fWocUupcZOXQoahqN7461Q6dYo0WlwkNNJNGQG7gspxx/dQ9ercc V2ej6Lb6HaCC2DHJ3PJIcvIx6sx7mn6bpdto9qttaRCKMHJ7liepJ6kn1NXqg1CiiigDJ1Lw5Y6t dJPcLKJlXZuhmeMsuc4O0jIyT+ZqsvgfSFYt9nmYnruupW/m1b9FAGTB4V0e2UCPSrNcDGfIUn88 Zqyuj2KKAllbqPQRKP6VdooAhjt4of8AVxJHxj5VA49KmoooAQnFc34itb3+1tPvbOya9EMc0cio 6I3zbCvLEcfKa6TrQBigmUVJWZi+EbK507w/bwXkflXAaRmTcG27pGYDI46EVH4i029vLrTbmySK VrWR2aOWQx7gyFeoB9a3fvUbaAcU1ZnLfZ/EbLxa6bGc/wAdzIf5JWZceJptLuLq01CO3N7H5flR W8uBJvwOrYxgnviu9wKgurSC9t5IZ4llikXa6sMhh6UGDw9O2x56reLrtiQkNiWY/LLsZEXtggkk jHcAc9PSePwlf3altS169kc/w2jCJB+GOfyrT0iSSwuJNHunMk1soMMpUjzocABvqCdp9x71q1Z5 1SUoy5bJHNNoOs6bltO1mS4AB/c6gPMyf94civIfjt+2l4J/ZlSzt/iGt1Bqt5H5trpukqtzPOgO C+0soRcgjLMASCBnBr6Dr8tm0vSfHX/BYzVbDx7FDe21mi/2TY6gA0LSJp8bwKFbg9XkA/v89aCq dql+ZbI+sP2e/wDgoR8Kf2kfF6+FvD7a3pGvyRSTQ2etWSx+cqKWcq8TyIMKCfmYdOM1xniL/grD 8CfD3jKbQVuPEGqQQzGGTWtPsEksQQcFgTIJHUHPzKhB6jIxXpf7U3w38EL8OfFnioaPpln490/w 1rH9h38BW3vGkFhMSiFSDIAoJ2nOMZwMZr89vgD4f0q+/wCCYvxkmlSxci7muZ2nt1aQTxm1EIEn 3gwLIVHT5z/eOQ2p0qdTVH6n698cvh/4X8A6b431jxho+l+FNSiSWx1S7uljiug8ZkQR55diisQg Bbg8cVyH7Mv7WPg/9q7Rdd1TwfYa1Y2uj3SWk39sQRRNIzKWDII5XyMDvg+1fOv7FXwj8K/tIfsM eAfC/wASdA/4SHRdLuLu+slN9cQFXF3dxoSYXRuFaQAFiMEcdMcr/wAEVf8AkmfxJ/7DFt/6JNBn Kkoxl3R+j1ZkcptfGdlujJS6tZIVdQOGUh+ec4wD+JFadULGP7V4w3YJWzs857BpGx/JDSZGGv7R HVUUUVJ7IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUV8Cftkftf/ABQT9oPQ/wBnz4ERWtv4 2vEje/1i6jjlNuzxmUIokDIqrCPNd2VjhgFAI56r4GeH/wBr/wCGvxo8LaZ8TvFWh/EP4eautzHq Goabbx+Zpki20skRJEMLgNIiLkh1+bHykigD7Ror85Lb9tRfhl+yz8QPHGh/GLUPjBrsOqWul6Xc 674Waxitbp1MhiZIwuUaJJG3kgAqozkgHt/gj/wVC+Huq/BvSda+I2o3lj4ohtjNrP8AZug3Zs4S Z/LQq4VlIO6IcMeWoA+4643X9Bk0uaXUtNiMkLnfdWaDk+siD+96jv8AWuK+JP7XXwu+Evw38KeO vEXiBofDvikRNpM9taSzvcrJF5qkRopYDbjORwSAeTXr0V0ktqlyytDG0YkImGwqCM/MD0I756Um k1ZlRk4PmRw0kdtq1qpDbl+8kkZwyN6g9QRVu38XX+n2r2lzavfXygC3njXEcvbLn+Ejv69q+bfF H/BQT9n/AEv4jSadbeOoRF5hgvr6CyuZbFpuQu2VIimcjlw20jnPGa8U/wCCmP7U134P8PeDfB/g jxXd6Pc+IDFqd5rGjlwW019yxmG4Tgh2DMQjbiEXs3OCUoysj0ZSp1qfNLRo+75o2luG1HVZ4551 Hysw2xQDjhAScfXqasabp154m2yIzWWlZz5/Kyzjj7g/hU/3uvp6145+xP4b8I6t8LP7V0Dxb4q8 Z6XNqEkyHxbdTTXEMihUIIlRG25TcBjbksRnJr6gq1DW7MJ1rR5IKyKmnabbaTapbWsKwQr/AAr/ ADJ6k+5q5RRWpxhWZdaDYXeoQXstsj3UJ+SXkHjpnHXGeM9K06KAILq1hvreS3uI1likXa6MMgiu I1LT5vCzZdmuNJZsLMxJe2z0V/Vc8Bu3f1rvqjdFkUqyhlYYIIyCPSplFSVmaU6kqbujyy8up9am aKyXzbGFgLhlfZ5/IzGrduM5P4Vbh8uztTd6eHl0rdtmtmyZrFu4I6lc/l15FaGpaJL4ZZprRGm0 gks8KDL23ckeqdeOoqsBLHNHqWmTItzt+8eY50/utjt6HqKx0j7slod6k6n7yD1XQswypPGskbB0 YZVlOQRUlZ0aq3nXmlW8gVOb3ST9+FiM74x3B54HB7elOtHfxFcCz0yXCEZnuwOIV9B/tnnA7YzW bpu9kbxxEXFylo10LnhuxfW9Xi1Rcw2doWSN14eduhB77Bzx3P0ruf4qqabpsGk2UVrap5cMYwB3 PqT6k+tW/WupLlVjyJyc5NsdRRRVEBRRRQAUUUUANZgoJJwByTXM3XjS0urcx6RIuoXshKRxqCAn +25I4Udc9+1bWqapBo9m9zcMdi4AVRlmY8BVHck1znh+xltY7maWJbX7TKZVs4zlYAf4c+vUnHGS cVjUqezVy4R5mc/4i8K3cam+S5m1GbYBOJiWZsNuyB/d/wBkdP4eeun4L1hvEVvd6Pep9ttI4VJm Y5IBPCM38XHIbg4HIBrbk1C2hvIrWSeNLiUEpEW+ZgPQVmW0n/CG3M8pXfpN1KZZZFXL27nqTgZZ D+YrCjUbdpGs4dUdTpmmW2k2aW1rGIol5x1JJ6knuT61dqKGZJ41kjdXRhlWU5BHsalrtOcyvEOj /wBuaXJaiTyZCyvHLtzsZWDA/pj6E1h/8Ijq753avbxc8bLMn+b12NN/Gk4p7lxnKHws5T/hDb1s 7taYDH8Fqg/Hkmnr4Jkbb5utXjY/55pEn/shrp/wopcq7Fe2qfzHNx+A7dcb9S1KX/enA/8AQVFb Gk6VBotr9nt95QuzlpGLMzE5JJNXqT8aLJEOTlux1FFFUSJXK694akjuH1HS0UTtzPa9Fn9x6P79 +9dV1oqWr6MqMnF3RwFnexX0PmRE8HDIwwyMOqsOxFWK0/EXhtryQ39gwh1JVwQeEnUfwv7+jdvp WHZ3i3iuNjRzRtslhk4aNvQ1yzhynsUa6qKz3LNQaLNcaf4iitdObfBMd91a4/dxLg/vAf4STjjv +tNuZpXnis7RfMvp+EUjKoO7t6KP16Cus0PQ4dDs/LjPmSud80zD5pX7sf6DtV04vcxxVSNuTqat FFFdJ5YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBBJbRSSxSPErSREmNmUEoSMHB7ccVPRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFQzzx28TSz SLFEg3M7sAqj1JPSoNP1ay1aNnsrqK6RThjE4bB96ALtFFFABRRRQA3JNOqvdXUFnEZbiaOCMdXk YKPXqa4TSPFXiC4sYLljY3CyKG8t42jb6ZBI/SguEJTdoo9Bx+NLz6VyDeMtS3AJo0ZHq14B/wCy Gr3h3xDdatfXVrd2kdu8MaSAxSlwQxYdwP7tA5U5xV2joqKKKDMKKKKACiiigAooooAb/DXPeIgf 7a0BgoI82ZCfTMTH/wBlrof4a53xdiO40KTqft4T845Ka3JlsMuFx4o0V8Z+WdOvTKA/+y109crq e2PXvD8rZAFzIntloXA/Wuqqp7kU/hCiiioNQooooAKKKKACiiigAooooAKKKKACiiigAooooAwd Y8P3Gqanb3kOotamGNowgiVx8xBJ5+i/lUC+F7/BEmv3TZ/uwQr/AOy10lHBoIcIyd2jmz4QdlG/ XNTLDujRL/7JXzd+1B/wTu8I/tI61ZeJ4/Emr+E/HFkiRxa5ahZt6ocp5kfyEsp+6yupHqcDH1ri igajGOyPjT4H/wDBOkfD/wCIMPjPx98WPE/xU1m1tJrG1XUi8UKQyoUdGDyzORtJGA6j1BrzLWv+ CPGktqmq2OgfF7xF4f8Ah9qVytzdeFltvNVwrblUy+cqNtwNrPExGBkkjNfoxisXxdePaaHOIX2X Fxtt4SOu5ztyPoCT+FA9EfMniz9lW+8SfAbw54F+GfxC1n4RW2l3yTQalpPmvcT2scUkSwyGKeEt vLLIzbsFhnbzkeYfs5f8E2PE/wCzn480nWtK+O+rz6Hb3i3eoeHbPS5bK11LapAWULeMp4PVkbp0 r7lt7dLW3igiG2OJAij0AGBUtWeNKvLVLZiEhQSTgCqvhBWulvtUMbIl7Kph3dTEqBVPXudx+hqp 4olddJaCHf8AaLp1giWPqxJ5Ht8obmuqt7eO2t4oIkCRRqERR0CgYA/KpZ04WG8yeiiikeiFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAlHAo6CsHXvEg0m4itbaD7beyDeYQ4XYg6sx7Z6D1NG+iGk27I/ Mf8Aaov9V/Y//wCCkWk/HjWdEvdU8B69DHHLdWibvLP2IWcsQJwBKoRZQpI3A4B64+o/hj/wUc+H Hxw+NXhH4efD6z1fXJ9YFzLe6pcWrW0FhHFbSyjIb5nYuip0CjfncTgH37WvE+ha1ootr7Tl1aC4 yt1ps0Cy7FUjf5kbZGBx254xWVY6X4b8NwzaZ4H0TS9CjulV7u40iyit0VSMj7igFyD36ZzVKLbs ioxlJ2SPyP8A2aZWuP8Agnr+0xpkEE893NdW0yCKJmBWNo3fJHTCKzc9ga+sv2S7rwH+09/wT6h+ CEHiDTp/Fn/CP3kVxpLSj7RZypdM0Fw0fXYsr27bunIFfXHhfwH4c8D2M1n4e0DTNDtpiDNFp1nH AspAxlwijccdzWdYeAdI8C6hc654K8M6DpWuSQSQyeTZx2y3SthgsjxpuxvVTn2rolQaV0dksLKM bp3Z+UX7I8Xib9pf41fBT4UeK7R08P8Awi+36hfx3HJCx3PmbJQeMCQW8GD0XNfqf+0hqGu+NvgZ 8Q9D8EwNc6lfaDe2ttchiplkeF12Q8csegbIAJ4rwT9j/wDZE8T/AAM8UeOfEHjjVrPxF4i8WXpu b6+013ETIS0hBLBWJaWRiy42nahycYr62VdqhUAAAwAO1FOjzayFSwzlrPQ/Hr4e/Gj4d+Gf+CdX jr4b65Pa23jSa6uF/saaFlupLs3EZjcqR/Aqqdx+75RB5wCftFeCfE/gH9kT9lay8VrNBetfXs/2 S6UrNbRvOskKMDyP3Lx/KeV5Hav1ZuPAPhi18WHxPc+FNF1O8LLJNdz6bDJdxsoG2WOQruyMDjPb jmu817wj4W+IVtYTa3oWleIoIf39o2pWUdyIiwHzJvU7ScDpg8Vzyp8jszKopU3yswZIGaaK+sZh BeJgpMvKuv8AdYfxKf06iun8P+IU1qF45E+z38PE1uT0/wBpfVT2NYms+H5PD7PeadGZNP6zWajJ i9Xj9vVfyqk0cd+Le8tLjy5o/nguYsEj1HuD0INcqbg7PY6JRjiFzR0Z6HR0rn/DfiJ9Sd7S8i8n UYV3OF+5Iucb1Pp7HkV0FdB57Ti7MWiiigQUUUUAIK43WvDs2lXEl7pkLS28jbp7JRzk9Xj9/Ve/ aux6UvWpaTVmXGTg7o84O3UVgv7CbybuPmKcD80Ydx6g103hvXbfUPMtnhSy1FSXlt16Oe8in+IH PXr61V8QeHZIZn1PS0BuDzcWq8Cceo9H9+9YNxJa31mLsTtbPbkss4O2SBxwQfQ9iDWWtN26Hc1H ER5tmj0qisjwzfXmpaLb3F7D5M7DnjG4Z4bHbI5x71r1uecFFFFABRRRQAUUUUAcVpZfxFNFq92Q Y+TaW45WJc43H1c+vatqsXw+W0hU0S6Gy6t1Plt0WePPDr/Udqk8qXxRO9tCzRaVG22e4U4M5HWN D/d7M34DvXmyjOpUaZ1qSjG5B4Z0u11zT9QW8h+0StckPfqx/elT8rRt1Xb0wOBg8nJqjruks/2e x1ZlaaNs2WoSLmKQ5HySL03HjPr2OeK9At7eO1hjhhRYo41CqijAAHYU28s4NQtZba5jWWCRdrow 4IrucE0vI5uYyfDurQ3EIsWgWxvLVAHtF6KvQMnqvv26Gt3tXA6tpbaO8S3ksn2WN82eqrzLan+7 If7vbJ4PQ1r+FfFg1fFreL9nvwNyKyFFuE6iRAecEc47U4t7PcGlujqKKKKskTpWPruvDSljhhj+ 06hPxDbg9fVmPZR3NSa5rKaLahypmuJTsgt0+9I+On07k9hWRpenyWplurtxPqNxgzS4wB6Ivoo/ +vWFSoqa8zSEeZmhoviAX8rWd1H9l1KNdzwnlXXON6H+Jf1Gea3K4rxN5LWsK7WbUWfFl5JxL5nq pxwPXtjrXWWSzrZwLcuklyEAkaMYUtjkgemadKbnG7FKPK7FmiiitiAooooAQdKwfEHhxdVb7VbP 9m1KNNsc2PlYddrjuv6jORW90oyKBptO6MXw94dTRY3kkf7RfTczXBHX/ZX0UdhW3SE0UA23qxaK KKBBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfNf7Zn7R2s/ALRdFttJ+GWvfENNeivBNJoofGn+SId rSbYn4bzTjOP9W3Xt8ufDz/gq1qWvanrL+H/AICeJ/EPliFLiHSrtpzbEbwN4S3O0tzjOPun0r9I vE0Zk8N6qo6taSgf98GvzQ/4IxSD/hMfj6v96605vykvf8aCuZ2aPo74G/theJvin+2V8Qvg/qGg 6bp+ieHNKk1C3uofN+1s6yWihJNzbely2cKOVHvX1tX5DaV8D7j9oL/gpd8ffCUXjPW/BFtJp1xP d3ehOEmuYhLYr5DE/wDLMu6OR38sDvXKfAr9o/4j/CP9i79oCw0/xFfXd/4c1rT9N0zUZpWkk09b qSWKd4ixJQEQ/KAcK8m4c9Qk/aOuR1TxZLcTNbaQA5jbbLeSLmJOuQoyN7foK/Iv4teAb34L/sr/ AA0+OXhPx14rg8dam2ny6hqV1q0rrfSXMEk0sZRmwyoQqc8MFfcGzmuh/aQk1r4tftffs82Nnrep eCZvE3g7TZpZtIkaOWzaaS7d/LGeGAJUE8jg9qDop0+sl2/E/TptLS6mFxeu+o3I5Etzhtv+6v3V H0FXVGOAMCvyX+C/wT8VeIP2oPiv+z7F8WvFml+ErK2lv57i2uMzXZjeFYw+T8uRc/Ptxv2AEdMY /wALfiF4m1T/AIJz/HzSNT1u8vo9B1TTY7GSad2kgWS8gDojE5CZTIXOAWb1NRY9GNZRVlG2/wCB +wFTeGQP+EsuOeWsV4+kh/xr8hPix4Hm+Hf7FPwc+MuieMfE1l44+0Wtuk0mrSvEI2WdxHFHnagU xA4A5BfduJzWt8btX+IHiD4wWHj34meDvGPjz4UXXh+1u4LHwdqMttb6czW0LTNIYQ2xo5Wl3CTY SSvzbQARIxr1eem1bsfs1RX48fF79pKfw/8AsR+DdL+Enj3xV/YfiTxTe6fc6pr07Lqulwokcn2B 5lcjaPOVt8ZG5BjAywruP2iPBk//AAT/APjx8CL/AOF/ibxHNb+Jbx7HW9H1LU5LqLUljltkZmRj jdILhugwrKpXBqzzD9T6K/IfwZ8FNU/aV/bw/aL8HN8Q/EXg7S4pbyeX+xZyDcAXUarE4Jx5YZgx XvtHTrXuP/BHPx94j8UfCLxxoOuatdatb6DrKR2TXczStCkkWWjUsSQm5NwXoCzetAH6D0UUUAFF FFABWV4j02TVNMdLdtl3Ewmt2PQSLyAfY9D7E1q0UAcpDJaeKtJjYMy5KuQjYkgkBB69mBFLFrt5 oLLFqy/abPoNSiX7vp5qjp/vDj2FXtU8Nx3cxvLSVrDUcY8+McP7OvRh+vvVGy1GSS6k03UoUgvQ uQoOY50/vJnqPUdRWmkt9zntKnqtjpkkWRQysGVhkMDkY9afXK6MToetJpgbGn3EbPaI3PluvLxg +mPmA9j6V1Wah6OxunzK6FooopDCiiigAooooAKKKKACiiigAooooAKo32s2GmEC8vbe1ZhlVmlV SR7AnmrtcvfQxyeNiXCuTp64VlzjEjc/+PU1q7EyfKrlxvG2hLgf2rbMW6bX3fypreOdFVXb7aWC 9dkMjY/JasKoRcKAo9AKUgMCCMg1fs/Mx9r5F+1uor61iuIHEkMqh0cdCCMg1PWB4GbPhWxXO7y1 aLOc/ddl/pW/WZ0DfSuX1pzfeJNOtFP7u0ja7kH+0con0PLnmukkuI4fvyJGMZ+ZgOPWuS0KT7fN qOqHn7ZORGcYPlJ8i5H4MfxoObES5YPzNiiikPIIzj3qzxjn59YstX1DSEspvtbx3yuRCC2AFYEk 46DNd11zWH4HZW8I6SVGB9nUfj3/AFrd6VB7tOCpxshaKKKDUKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigBMV8B/wDBT740/EH9mnw14W1v4f8AiMaJLrmpzR3TvZW9y7BYgQv76Nxt9MAEdOlffePQ1+a/ /Bbr/klnw1/7DNx/6IFNN9BqTi9DjdP+PH7TH7P/AO1L8PfAHxL8ReHvHsXi2WzWSLSbOAMtvNL5 W/fHBDIrx/M2HBXCntyPtb4sftIfCz9ntrW28a+KtP8ADs90plhslikmnZckb/JhRnCkgjcVwSDz xX5ZfHLxJ8FPDPxA+GN3+yG+rR+NDM0V8tqb/wAqd2MYii23fzsWbeCF+THXtjvviG2t+Ff+CjXi 281P4oQ/CoanZA6L4w1rRINTtpLfyoVSJPtO1IxhJEMwI5jZf4znenUa0OylWlFa6s/RXw/+0p8M fFXw21Lx9pPjCxvfCWlgm+1CMOPsvTiSMr5iH5hwVyciuV8DftyfAv4keKLXw9oPxBsbjV7uQQ29 vc2tzaCaQnCojzRorMTwADkk4FfEOg6x4c/Zf8H/AB78ReD/ABzo/wAeNSu002bVYV8PxwaLBPPd y7JWEczxyBSznZGFRSyAEdB47+0h8Qdd+I2jfBzxR4g+Knhjxjrd3Ktwvh7w9ptvBNoKt5TeXNLH 8+7OF2OBgoSM9a39q0jpddxXmfqv8Vv2ufhB8EdcXRfGfjez0nV9qu1jHDNdTRhhlS6Qo5TIII3Y yCD0r5S/4KC/tEXOpeD/AIM+JfhX4+1K20PWdXuYpLzw/qE9ot0qGFSkgQqTtO4bWHGTxXmfxwjt /h9+0L8Vfit8LfjN4Z8O+K7KS6tdZ8LeMIY0u5GQL5kNqJEkW4WQxKU2hWGQpI5rzj45eP5/iV+z n8BdUuvCtn4TkuPEupytDpcDQWl0WliLXEMZJ2Bm35CnaGBxgHAiVR2aInWdpJ/1qfqB8Wv2l/hZ 8JL+2s/H3jSx8PWcg8w25Sae5ulBIwsUKs/l5BBfGCQQO9bz/tpfBOz+FA+IcXji1m8FRXcemyX9 jZXM5tp2UlI5YY4jJFkDjeijkeoz+e/xOs9e+H//AAUx8Yy6t8TbX4JjUtPX+wPFeraDb6paNbeV AqQoLkiOEYSRTKCCGRlP+sNd98Av2YfA/jiz/aQ8A+HvjDY/FjUfFOkwXd/c6XosVhptrqDTTzW0 kbxTvGxWUbisShFU4B/hHNKTm7s4KlR1Hdn2J8X/ANrz4bfDfwP4d8Qaj4sj07RfEiQvY6pHaXFx ujlh86MrHHGzhmTBGVGMjOCQD11vNHb2NlbadC8s1wo+zwSKyuc8lnBGVxnJyBj61+OP7Mk2vftD /FX4NfC3xNZSJoHwylvL/UllQk7FuFbbMP7odbeDnoGNfswxubS8XUtPdWuBH5bRP9yaPOduf4T6 EfjXLPdJnXQuoScNzqfDvh9NEhdpHFxfTndPPjG49lHoo7CtmszRdct9ctWlh3I6HZLDIMPG3oR/ nNadbnC731FooooEFFFFABRRRQAVhXXhPTb3VU1CaJjIpDPGDiORh91mXuR2/rxW7RQAUUUUAFFF FABRRRQAUUUUAZmtaHa67bLDdK3ytuSSNtrofYjpkcVctbWGxt44LeNYoY12oijAAqeigAooooAj dFkUqyhlYYIIyCPSszXNDttXtVWYmB4P3kNxGdrQMP4gf6dOK16KAOC0GfWmsbfUEvmvZH3b4Lwb I5k3fKyYGUJXnkHrzWsdd1tlBGkWqN/tXpP8o6qXto3ha+tI7ZvM069uPKFr3gYgtlP9jg5HbPFa 9cM6k4Ox0xjGSuZ1hp85u5L+/kWe+kG0bM+XCmfuJn9T1NW7y8isLWS4nbZFGMscZ/T1qSSRY0Z3 YIijJZjgAeprO0mzbxJdRajcrjTom3WduwH7wj/lq367R+NYxjKtK7Lk1BaFvw1pcvmyarfRFL2c YjjY5MEXGEx2J6n3ro6TrSL1r0kklZHJe46iiiqEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUVFNMkMZeR1RB1ZjgD8arPrWnx4339quem6ZR/WgCe6t0vLWaCT7kqMjY64Iwa8A/ ZX/Yx8Lfsn6l4zvvDutatrEviiSB7j+0zERD5TTEBNiL1MxznP3R717g3irRY927V7EFeo+0pn+d QSeONAjxnVrU5/uvn+VAzyDwD+yV4Z+Gf7SHjb412ut6nNrnie0ltbuxumiFpCjPBIWTChgQbder HgmvIfhp+xj4J8K6X8TvCuly6t4w8OeN545tVttSaNELRtIybXRUKKrS7gclsopGMV9I3VxqXxFu 5LW0EllocbBZJXABcjnkdSfReg4J7Cu70vS7fRrKO1tY/LhT8ye5J7k0D2Pgzw3/AME6fAE0mkaT r/izxx4k8N+H52uLPwfrGp7tMgfcQwCiJSVznhSDgkEnJz6z46/ZR8N+Pvj94M+LFzqmoWWr+FrW O0tNPtRGLWREeV13AqW/5bMOCOAK9z8ZBrfW9OuhFNIhgmicwxNJj5kIBwDjPP5VmLqDOpZNP1GQ dPlspD/7LUO9z1KM6bh71kzyDwP+yv4e8BftFeLfjFaavqVxrfiS1e0uLGYx/ZolZoWJTChs/uF6 k9TXzv8AGv8AY5sfgF+xn8ZND8ET674rvvElxp12bWSFZ59yXsJIjSJASNpYng8DNfdazXcikpo+ oN06wbf/AEIilt7tpppYpLea1mjwWjnUA85x0J9KWpt+6n7sXrr+J8KfAH9gnQfiR8Ivhdq3xG1/ xxfQafZpcnwVq18V0+2m3HKCFow8akDlQwPOM44r1/xZ+w7ovjb4ma9f6V8RfH3gi38UQSPrGm+H NWWC1uRtjjK+WYzgMgAOcjAxjHFfSh5rzvxt8cvh/wDDvxFBba38RvDnhbWkjMZtdQ1CBJQjbTlo 3YFRwOSKaepNaivZ2W5SuP2Cvg/c/ACP4P8A9h3C+F47k36XQuT9uS8I2m6EpH+sK/L027fl27eK wfh7/wAE9fBfhP4h+H/GniPxd4y+JWr+HERNDXxfqa3UOnbDmMoiouSp5GTgEA4yAR6Le/GDSNJ8 Lw+Jr74i6Fa+G5uItWmuLZLSQnONsxba3Q9D2rN8L/HnQPiLb37+DfiRoviW4sYjNNb6XPbTuqju 6rlgvbNVdHnPDzX/AA434VfsjeHPhL8fPHvxY07WNUvNa8XiUXdldGP7PDvmWU+XtQN1QDkng0fs q/sieG/2TNN8TWXhzWNU1ePXrxLydtUMeY2VWAC7EXj5j1zXW+LP2kvhX8P9QGm+J/iN4V0LVlA8 yxvtXgimjJGfmjL7lH1Fdx4f8RaT4s0e21bQ9Ts9Z0q6XfBfWFwk8Eq5xlHQlWGR2NM5jUooooAK KKKACiiigArnPGi/Z9Pi1NTiXT5BMFB++p+V0+pB49wK6Oue8YHzrexssZ+1Xcatx/CmZD/6B+tN biexR8WN5WhyXicTWjLcxN0IZTnv6jIx6E119cn4iX7VHY2WM/aryKNlzjKht7f+Ooa6yqnuZUvh CiiioNgooooAKKKKACiiigAooooA5zxXqmqaPDFPZpafZi6xyyXAdihZgAdq4yMkd881GsniKTBe 90+L1Edq7fzkp/jKUTWMOmRn/Sr2RVQDqqKwZ3PsAPzIq9WkYp7mNSTjsZgt9cbAbWoxz1jslHHp yxpbPS7mPUWvbvUJL2XyzEgaNEVVJBP3Rz0rSorXlSMHOT0YUUUVRBj/APCJad8423GxmL+Wt1Kq KSSTgBgByTSt4R0l92+zEm7r5js38zWvRSsiuZ9zmdd0HStL0e4lg0y088qIot0Kt87EKvX3Iq9N Ivh/TLOCGJpyGjtYkDBSxOFGSeKr67HeaprWnWNj5HmQbryT7Rnbx8q9OvLH8hVpvD+rX91a/bLm yW2gnjuNsET7yUIIGS2MH6VjLcUqcqjjfYDJrhBK6LGOej3ijj14U077P4jkzttNNi548y5dv5JX U4FG0Vmb/V6fYy/DenzaTottaXBRpolIYx5KnknjIHrWrRRQdAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAVy3jj4Y+D/AIm2ltbeMPCmieLLe1cyQQ65psN4kTkYLIJVYKSOMiupooA8F8LfB/4f aLq02o6J4B8L+EJbctE0Oj6Rb2cw9fNeNFJGP4fu/Wt7XPhVofxj01R4h0TTdS0mDmxt9V0+K6jd uMyFJARtwMAYGevpXf6v4T0/WbuO5nVxIoCyCNtolUchX9RU3iLXtP8ABvhvVNa1KVbTStKtJby5 lxxFDEhd2wOwVT+Va8/u8qN/a2goxVu55f4d+FPhfwJHfeFtP0DRbXSb21Wa70+00yG3tpCxZWXy 1UKyYGMEHr7mqK/s7/CmO0jtV+GPg1bWOb7SkI0C02LLjHmBfLwGwB83Xivifwb8dP2q/wBu7X9b 8Q/CKbw/8PPBGi3ZtrWbVIY2Z2wHETStDMzybShYIqoNyj3PT/Er9rz4zfs5/s16pc/E/wAPWFp8 Vx4hbQtLkFvi0ubb7Ok324bW2SgfvF+QqN20FQVYVvTqRtaR1Ua0OXln0PsDxF8GPh94x1Yarr/g TwzreqAgi91LR7e4m46fO6Fv1qbxr8LPB3jzT7G38ReG9H1aHSz5lidQsIZ1smAHzRh1IThV6Y4U elfAuj/tSftGfs7fE/4ZQfG7UNI8QeE/HnllEtraGKWwV2jVvmijjxJF50bMp3qQcBs8j1z41aD+ 1z428TeLNV8CeKfCPg34c6ZLv09tXEAkvoo0VmdmkhmGN4YZcovHpzVyqRs7o1lWgou6+R9i3Pg/ QPix4Zto/G3hTSPENurExwazp8VzGw6CRY5FbbuHar/hvwDoHw70W6s/BfhnQ/DyMpdLPTbOOxt3 kAO3f5ScDPfaSATwa+aP+Ca/7VHjD9qT4U69e+NLO3/tXQ9QWxGqWcHkx3itGH5QfKJF77cDDJwO /wBg1wHknx/+wz+xz4n/AGe9c+JHi/4jalouu+NfGN75slxoryywpCWeWQZlijILyyElcEYjTnqK +idU8Pz+H8z6cjXGn5y9mvLwj1j9R1+X8vSu2rl/HGtXGj2EAhb7OtzJ5Ul5gkQDHX6noCelTJJr U0pylGV4mFGxkkh1PS51S4wMPyY5l/uuO4/UGut8P68muW77o2t7qEhZ4G/gY+h7g9Qa463iP7nS 9JUSTld29jlYlPJdz3z6dzXcaLosGg2It4SWZjulmb70rnqzH1NZ0728joxHJdW36mlRRRWxxhRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeL/Gr9sL4R/s66/Y6L8QvFv/AAj+p31r9sgg /s28ud8O9k3boYXUfMrDBIPHSpvgz+1t8Iv2gtSuNO8A+N7PXNRhjMr2LRTWtxsGAXWKdEZlGRkq CBkZ61+ff/BVDxFoPhH9tP4La54p0z+2fDOm2Fnd6np32dLj7VapqErSxeXIQj7kDDaxAOcHisb9 mHRbL9oL/goRonxN+Dnw6u/h/wDC/REMt5L9lS1gz9mkjYbYyYleVnC+VGx+UFj/ABUAfod+zX+1 t4Q/alk8Wr4U07W9PPhm6js7z+2YIYt7v5mDH5csmR+7brjqOK9xr8df2Mf2gP8AhmX4G/tNePIb CPUtRtddsbaws5iRHJcSyXCJvxztXJYgEEhSAQTmorr/AIKY/Ebwbo/hPxhF8adD+IWpXtxG2t/D hfCElhHp0TKWZUvjEvmFcbCQ5wxBHmKCaAP1lvJBqXio4OYtPh2Zxx5snJH1Chf++jXNfGT4raT8 D/hnr3jnXbe9u9J0aFZriHTkR52VnVAEV2VScsOrDjNfIXx++OfiHwv4ml1BP2mfDXwk0vVLKDU7 HQX8OprWouZYw4NwuxmiUqVC4DcDgV4vpn7UXjn9pT9gf49v4uuLPVL3QfskEl7bQCATRSzIUcIA ACGjbOAOGXgEHPFKm6k+bodCkoxsfob8F/ihpP7THgfSvFuiw3lh4YvUMi2WoBEu5SGK4kVHYKmV 7Mc/nXsqqFAAGAOAK/Gr9mn9or4h/ESx+B/wO+C+uQeD9W0uxuZvEHiS6toJW2GaSV4o45lYSKkZ U4Ayztj5VVmP67eF9Wa4s4rC9lkOr2sSJP8AaNgeYgY80bAqkMQT8oAByMDpXRHlj7qMpXep0NFF FakBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHN+PoUl8K3pfBWMpKcjIw rqTx34Brnl0uyXG20gGOmIl/wruNWshqml3doTtFxE8W7GcZBGa5aPwjrKwop1KzUqMcW7HP4l6l nbh6kKd+cqLawLysMYPsopZ5FtbaSTACxqWwB6DNaH/CF6izZfW1A9I7MD+bGhvAslwrx3Os3MsD gq8axRrkHqM7c9KXKzqeLp9Eafg2zNj4bsg5zJMn2h/Zn+YgfTNbtMVRGoVRhVGBT6s8gKKKKAEH FcLqisvi7U/RoICP/Hx/Su67isi/8M6Zqt0Li7tVmnChdxJHAzgYB9zSZrSqezmpHjn7QHji9+Gv wO8eeKNMAOpaTot1d2pYZCzLExRiO4DYJHoK+C/+Cf8A+x38Pfj58K9W+I3xMs7jxlrmr6pcQj7V fzp5QXG52MbqzSOzMSzE8bcYOSf068WfCPwn408M6voOqaRFLp+qWktlcqpIYxyIUbB7HBODX5u+ E/2W/wBqf9jvxNrXhv4S6r4f8V+EdTka7gGouibOQgkeOQrslwFB2MynA+gVrI7PrCqVFzLQ+itF /YF+F1n8NYvAGpW+oa54RtfEMviG00+5u3jMcjw+V5TyRlWdFBYjkHkZzgk/HXg/4XeGbP8A4KOJ p/wNt5LTwp4as5X12W1uJJrWBxBKk8YkZmJVmaOPaSfn3Y4Xj3Lx98L/ANq5v2fbbwlp3iK08QfE HxRrF1c61qFnfJAbazaFNtvBJJ5axj5WyI1GOQp5JPE/s4/CD9qf9nNdD8HW/wAOvB2ieGdQv4v7 X1Pz4pbu5iLgSu0ouDudYy+1QOP4V60IqpKDkoWt+Z1n7dHwv/Z7+BWkXHjDxb8LdZ8c+LPHIu50 1C21KaNLSdI4yGbbIqxoDIuMIx+U5zXd/wDBHvww/h/9mXUbv/hI7HWV1TWpLoadY3Pm/wBm/uYl 8uUfwStt3FfQoc8msvxZeftx6f4s8UaL4RPhDX/Dt1dXE2lXF19n86xspJX8mM7/ACwzIhVfmV+n Vq9O/wCCeP7H+tfsl/DnXoPE+pWt/wCJfEV3Hc3UGnszW9qkaFY4wxA3N87lmAA5AGcZNHnNOLsz 61ooooJCiiigAooooAK5vxJ+51rQpWHyGWWHcegLRkj8TtxXSVm61pUetafLayfKWwyPgEowOVYZ HrTWjE1dWMXVWFnrWjahJ/x7QyPBIc/cMgCqx9sgD/gVdWK5Oxca9o81pfKPPUNbXcY7OOCR9fvD 6irGk61cWN1FpmqsDKwxb3mMLcYA4PPD+3ftVyXVGVN/ZZ0tFFFZmwUUUUAFFFFABRRRQBXubqG1 QPNKkKE4DSMFGfTmlubqKxtZZ53EcMSl3Y9AAMk1y2sWaeJtYu7WYA2dlGYgp5BmkXJb/gKkY92N JFpmp6lbwRaxexvDGE3W9sDtlK4+Z3bk5IzgYH1q1Fszc0tyXRY5LySbV7pNlzeAbEY5MUI5RPbr uPufataiit0rKxyN3dwooopiCiiigAoqvqV4NP0+6uiARDE0mD3wCcVTt7fxF5KSH+zZ9yBtv7yI 5I6Z+Yf57VDkluXGLlsS+F4xcXmr6iefOn+zx8/wRDbx6ZYv+ldGtZvh3TX0fRbW0kKmWNf3hQkq WJJYjPuTWpWB2LRWCiiikMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAriPjZ4K uPiT8G/HfhKzkWG717Qr7S4ZHOFWSa3eNSfbLCu3ooA/Jb/gnn+2d4J/ZN8D+KvhR8YI9R8Ga1pu tT3aSS6fNNlmSNHhkSNWdXVo8gkbSGHIxzN+378WrX9sr9kqL4k+CdG1BfDXg/xtJpks10mJJbdr SM/ayg+4nmypHgknkE4yVX9L/GHwb8AfES+ivfFfgbw34mvIwFS41jSLe7kQDoA0iEgV0Fr4d0qz 0RdGttMs7fSBGYBp8Vui24jIwU8sDbtIJ4xjmgD8a/2hvjNo/wC2z8TP2dfBfgT7Rq+o2kwS/dbW SE27Tta+YjBgP9UtvIzuuUxyD1r6J/bP+NX7LPx6nu/AHxL8ZeKfBmreA9TureG20vTmYzzKPKO1 lhmRk+UbctGfXFfdvhD4Q+A/h7fXF74V8FeHfDN5cLtmuNH0mC0kkGc4Zo0BIz61X8VfAv4beOtR Oo+JPh94W8QageTd6pottcyn/gboT+tNtt3ZUpOTuz4u/wCCOPjPxV4g+EfjHR9QtUXwVouowxaB ffYY7ZpmcSG4RigAkZcQMWO5sykFjxj9C6oaTo9h4f0230/TLK307T7ddkNrZwrFFGvoqKAAPYCr 9IkKgurWG+t5ILiNZYZF2ujDIIqeigDiLGxb4d3Eo2+doNw4JnxmW3boN/HKe/b+fZRyLPGroyuj DcrKcgg9CDSuiyKVZQysMEEZBHpXIXC3fgO4aaBHu/Dzcvbg5e055ZfVOenagDs6KgtbqG+t457e RZYZF3I6nIIqegAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPjr9pj9j3xn8Zf2ufhB 8UtE1TQ7Tw/4PlsXv7e/uJku5RDetO/lKkLKcocDc68+g5r7FornPG/xA8NfDPw7ca94s12w8PaN AwEl9qVwsMYY9FBY8seyjk9hQB8O/Bf/AIJq6xpnwj+NXgP4i61pTW3jbULa+06+8PyyzyWUkLyu jussUeSGdcqCdy7hkZBq3ZfA/wDa28E/DHSfhLZfEfwBH4YWJdJs/EEdpdnW7ezRcABSoiASMBQc lgMDdnmvpL4dftjfBb4seIYtC8K/EfRtT1iZtkVk0jQSzt/djWVV8w+y5NN+KP7QHw++FfjrS7Lx l4mt9Dur7/QtLtpo5Ha4mZkMmAikgfPCMtgZJqJycYtoqKu7Hy140/Yq+J/hP9qDVfip8PvEHg/U z4mt002aPxha3E09m7xxJJLAIwQWAhLKxdcKzKcjk1vhX/wTt+Jfgf8AZ3+PPgPUtf8AC15rnj6W 0fT7y3uLkW6eVKzuZ8wZTIbgIH54z3r7vs4/7Q8VA9YtPg3df+WsmQPyUN/30K4rXv2qvhZ4f+J/ /Cu7jxdayeOyyxroUEckkzSMm9Y9wUorFecFh1GailfkTZU/isj4q1f/AIJjeO/B/gb4Q+I/h7rn h/RfjD4LDrqVys84sb9RNJLGyMIdzOA+xlZAHV2BPygN91x6k2reE9Ju9SSKHX2jT93pcrP5d3tA dImZVYqGyPmUZA5ArqtF8RNfXDWl7b/YL8DesJferp6q2BnHQ+lXI9DsI9UfUEtY0vHXa0q9T6nH TPv1pyiqlpJiUnG6LGm/av7Ptvtmz7V5a+b5f3d2OcfjVqiitSAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiopZFgjZ3ZURRlmY4AA6kmuHu/G15NqFvLYwrJYtKEjhZT5t16sv8A dA6jjnGTigpRctjvaKSloJCiiigAooooAKKKKACiiigBP4q5HxVp95JrVleWlnJdj7PJC6xuq7Tu VgTuI9DXW56UtBUZOLTRwum6bqsniDTbibTHtYLd3ZpJJozwY2XGFYnqRXW6ppdvq1jJa3SeZE/4 EHsQexHrV2igc5upLme5yXhvw9qOl65PNdSpNbi38mOZThn+bILL2IFda3SlooE5OTuwooooJCii igAooooAKKKKAOf1zQWmm/tHTtsOqR45zhZ1H8D+vHQ9RxVOTb4m0BJIHaCR1EkTZw0MqnjPurDB +hrqveuVsYzp/iDVrPnypit7F/wPIcf99Ln/AIF+J0g+hjUWnMjY0HVv7W0mO6kVYZRuSaMH/Vup IYc+4rSVgwBByDyDXIf8InazX93Pcs9zBMwdLV2by42/iO3ODuIB5Hanx+GUt1MdtqOoWkGcrDDc EInsoIOB7UuRi9qjpLq+t7Jd1xPHAuCd0jhRgdetYE/iC61wmHRD5MH8epTRnb9I1I+Y+54+tMj8 M2f25bu4Mt9OqeWpvH83aM54z0P+JrWqlDuKVXsZtr4obTdtvrwW1lxhbxf9RLz6/wAJ9j+Fba6x YuoK3luw9RKv+NViAwIIyDVD+wNMLBjptoWHRvIXP8qfs+wKr3RqHXtNUkHUbUEdR56/401vEWlx rubU7NV9TcIB/OqK6PYRnK2Nsp9oVH9Kd/Ztl/z6Qf8Aftf8Kn2Y/a+RQ8NSx3C6ncRN5iTX8zLI CCGAO0EEdRgVoXWpWliQLi6htzjOJZAvHryamjjSFAkaKiDoqjAFZUlvDH4ttGmhjljvLdofnUHD od44P+yX/KtPhRkvfkSt4m0dVydUs8e06n+tRN4v0VWUf2lbsW4AVt38q6SOxt41wkESDrhUAqVU WNQqgKvoBio52a+yXc5b/hLNMbbtlmfdwNltK2fyWlXxEsjMINP1K4x3W0dQfbLYFdZRU87H7KJy yy65dbfJ0qG1B6teXIyB/uoD/OnroOr3TE3WrrboeDHYwAHH+8+7n8K6XIopczLUIroc+PA+myc3 bXWoN63Vy7D/AL5BC/pW+qhQABgDgCnUVJYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFVdQ1CDS7Ka7uX8uCFdzt7VQ0PxJb65vjEU1ndRgO9r crskCno2O4NAGzRRRQAU1lDAgjIPBFOqC6uobG3knuJFihjXc7scACgDltQi/wCEHZ9QtCq6Oz5u bLIURkkDfF6c9V79q6uGZZokkQ7kdQyn1B6VzVnZy+KrqLUL1GTTIyHtLNxjee0sg/kO1dVQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFQQXEV1HvilSVM43IwIyOvIoAnr8qv8AgooLr4zf t4fCP4SavcXCeEfs9rKbGOUxieWeaXzWB7MyRJGG6ryR1NfqXqF0bGxuLgRPOYY2cRR/ebAzge9f Ff7X37FV5+1M/h3x74Y8Vx+HfiVo+02V8zOLYxK/mRRb0G+No3JZXUE5Z8g5BWJTUdyoxctjrrf9 gX4T+H9a8I+JfDfhm18P+KfDOow6la3ens0STNGwbyZVJIZDjG4gv33da+C/26v2adL+BPx8+Gfi yDWdR1PU/HXiW71PUY750aK1dbu2k2RFVB2g3LD5ifuivqv4b/AP9rLxF4/8IXvxZ+LOiy+E/D2o Q38mm6MmJNRaJgyrL5cEIZSQPvsQCAdpNeY/tSfseftRftEfEiHVb3XvCE+g+HtVvbnwzHJN5Elt bSTI0Yk2wfM2yGHO4nlTzya5ozd7SlobSirXSPpD9sH9qKT9lf4EprVhCP8AhMvF129vpJulzBaO y8zynn5Y49pC85YgYxnH5m/D3xb8N/hX+2V8KvFI8eL4k0mCIah4l8UzJcP5moyG5MzsGTeeWjxg HgjJJ3Gv1F+GvwP8TfE74c6TZ/tLaV4Z8Z69pV1O1pDFaRSWyI2ArABFXO0Yxj614p8Qv+CcljrH 7XHgzxb4f8I+ErH4TWNnHHq2heWI/tEoM+5vIEZVs74eSR932rR1YfCSoS3PuKa3tPEmm286OTHI qz21zH8rpkAq6nqO1WNJ1yaG8XTtU2i4YnyLpRiO4Hp/sv7e3FTW9vFZ28UEEaxQxKESNRgKoGAA PQCqHiB7X+z/AC7mFrkysFihj++8nbb6HvntXLSqOLstjScU1c66iszw/b3lro9rFqEvnXir+8fr 34BPcgYGe+M1p16RyhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUx2EalicKoyafRQB5 prGvP4mkiCRyyWUn/Htp8Wd90R/FJjog9Dx3PpXU+HfDn9l5u7srNqUqhWZfuxL/AHE9B79zV7T/ AA/p2k3FxcWtqkM85zI6555zj2GewrTag0lLTlWiFooooMwooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACua8QR/Zde0i9AIWTzLORu2GG9eP95P1rpawfGkDSeHbiWN S01qVuowDzmNg38gaa0YmrqxYopscizRpIhyjAMD6g06uk4AooopgFFFFABRRRQAVkeJm+y2dvfg DdY3Ec/Jx8udr8/7rNWvUN9arfWVxbPwk0bRn6EEf1pPVDTs7m5RWP4TvDf+HbGVgBIsflvjpuQl G/VTWxXKd4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUmKBXD6tfatea1d2iXTaZ9l2SQRoAwmGTh2OMlSQQVH45o KjFydkdzRWV4f1ddc05Jtvlzr8k8RBBjkAG5f1/IitWgkKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACobi4jtYZJpnWKKNSzOxwAB3NSMwUEk4A5Jrl13eNLhW5XQI2+6ePt jA9/+mYI/wCBH2oAfZwS+KbyK/vI2j02F99pasMGUjpM4/8AQR+NXde8PR60scscrWd/DzBdx/eQ +hH8S+oNbCqFAAGAOAKdQBg6PrU0lwdN1RFttTQEjafkuF/vx/1HUVvVm6xotvrVusc25JI23wzR nDxP2ZT61naXrF1p1zHpmtMv2huLe8UbUufb2f279qAN6SRYI2d2VEUbmZjgADqSa5S2jk8Z6kt3 MuNCt2/0eFgf9Kcf8tGH90dgetE8kvjTUHtYSU0K1fFxKD/x9OP4FI/hHc966xEWNQqqFVRgADAA 9KAJKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDmdc1CXULp9IsnaMqFN5cIcNEh5Cr/ ALTDv2HPXFURpsugOLnRkAVQBLYkkJMAAMj+6+B17961da0F7qb7fYsLfUkXaC33Jl/uOPT0PUfp VTT9UW8klgkia1vYeJbeT7y+hB/iU9iK46rnGXMtjenyyVmJdeMFvolttIUvqMmQyzKR9mwcFpB6 +g7/AErPtobiHOk6JteeI+Zc3lzlkVj83zY6sx7DoDVq+uZJbr7Bpyp/aM4zJNt4gT++2Op9B3Pt XQ6TpMGi2SW1uvyjlmblnY9WY9yauN6usthO0NFuYljqq3DTQXKfZLy3/wBdC56D+8D3U9jUFlYj xhL5txHnRIyfKjJI+0sDjef9gc4Hc81uat4dstcaJryHe0Z4IYqSueVOOqn0NaSIsahVUKqjAAGA B6U40YxlzClUbVjkH87wpIsN27TaUxxDeMctD6JJ7ejfnWwCGAIORWtJGs8bI6q6MNrKwyCD1BFc ncWkvhFi8ayXGin+Fcu9p9B1ZP1H0rOrRv70SoVOjL1/qEOm2rTzttReOBksewA7k+lGg6TNJdf2 tqKbbplKwW5A/wBGjPb/AHj3P4VFommS6pdJq99GyBc/ZLWRceWp/wCWjD++f0HvXT9KujS5Fd7k znzaIWiiiukyCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo3RZFKsoZWGCCMgj0qSigDk bOM6Bqh0p/8Aj0l3S2TbTgAli0WfVeo9j7VsUuvaSNZ09oVbyrhTvgmBIMcgB2t+v5E1Q0fUjqFu 4lVYruF2inhBzscHH5HqPY1tCXQ5akbO6L1FFFamIUUUjSLGMswUe5xQAtFVm1KzTO66gXb1zIBj 9agk8RaVF9/U7NTjODOuf50h2ZoUVjt4w0VWC/2lAzHptbP8qU+LdLwSJ5HGcZjt5G/ktF0PlfYs +GW+y6lrNkSMLOLlBjB2yLk/+PK1dF0zXCSeIltdegv7Sw1G/he2aGZYLJ93DBkI3AZ6t371rxeM pJ1JTw9rWcZ/eW6p/N65pbnZHZHTUVzf/CTai6gx+HL8+vmPGn/s1Da5r7EhfDDexe+iA/HGaRR0 lFc3/a3iSQAroFvF6h78H+S0i3HiyRf+PPSojjP7yeQ/hwtAHS0VzQHi1sZbRYx34mf8eoq5ptrr Udwr319ayRAHMMFuVz6fMW/pQBs0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAi9K5rxhp7G1XVIFBubHMhGBl4v41zjPTJHvXTVzXjy0S4 8NzyyFf9FK3IWT7j7TnYw7gjI+pFA4uzuYsWpLo19Dq0LeZp90FS62sdoBwFlx/sjg+x9q71SGUE HIPINccI0uLUI0e2J0wY2GMAjpjtVnwnqTWsj6NctmSEb7aRmyZYSTgfVeAfbBps669O3vo6qiii kcYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVe8tVvLWWBnkjWRdpaJtrAH0PagD n755fFd1Jp0BZNJiYpeXA4MxH/LJD6f3j+Aro4oUgjSONQiIAqqOgA6CmWdnBp9rFbW0axQRrtRF HAFWKACiiigAqlqml22rWb211GJYm7dCD2IPY+9XaKAOV02ebwk1vpt8Q+m8R2t7tC7fSOQDgH0b v35rqqguraK8t3gnjWaKQYZHGQR7is3RtMutHd7c3H2jT1UeQJMmWPk/IT/EoGME89qANmiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKx9c0JNX8uaOVrS9hz5N1GASuexH8Sn0rYopbgZe h6PFotsY1YyzyNvmncDdK56k/wBB2FalFFMAooooAKKKKACiiigAooooAKKKjaRY1LMQqqMlicAD 1oAZcXEdrDJNM6xRxqWZ2OAAO5rg9W1K41/FwLw6ZD8w05DIY2kkwdsj98HsvofepNc15dZXzfnG jxOBHGvDX0mflAHdc9B369BWxpHhdJI5LrWIo7m8uF2tE4DxwpnIRf0ye5rN3lojVJRV5BaeL4oE VNVhmsJV4MzKXhb33qMD/gQFdFDMk8ayRusiMMqynII9jXNzeDRb5OlXbWC97d182E/RScr+B/Cs CTTbrw+7TfZbjS3zlrvTj5ts3u0fYfVfxp3a3FaMtmekUVxdj4yukhMlxDFqlv0+0aUdzD/ejJ/k T9K6TS9as9YjZrWdZCvDxnh0PoynkfjVJp7EuLjuX+tHFH8NcP4k8RNqKy2lkz/Y1bypp4vvzv08 mL1J7mhuwkr6HaxyLMgdGV0bkMpyDUlc94P0OXQtOcTBY5Jn8w28bExxcAbR78cnuTXQ0xBRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAVhaj4Wi1C+e8jvLqxmkVUkNq6r5m3O0nKnkZNbtFAHP/APCIxNu3anqbbv8Ap6K4+mAK QeCbBsebNfXHGD5l7Lz+TCuhop3YrIwF8D6KqgG0ZxnP7yeRv5tTl8E6EuT/AGVbMW67k3fzrdop DMuPwzo8ZymlWKHplbZB/SrKaXZx4KWkCEdNsSjH6VbooAYqrGoVVCr6AYp9FFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFADRzTqK4/xF48t9NeW2stlzeIdrMSDHG2cbTg5Zv8AZXn1xQB0WoalbaVatcXUvkxrgbiC SSegAHJPsK4nWde1TxJI+l2Vm0UU8ZJjbiV484JckgRqemOWNV/suoW88GqaxaGSN38sTTsDJAWb 5Ts5WNSTjgk9MmruqMdPkg1WIfvrJt7YH34jw6n8CT9QKDpjSTg5J3aCez1Dw20C3BfUreZdii1g OYpBgBOSeCO5PUc9a1NH8P3c99b6lqTLA8BYwWcXOzIIy7g/McE8DjnvXTrIsiqykFWGQQcgj1p3 NBm6kpR5Wx1FJS0GQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAlcN4k12PVmnj81o9Htji4kUf8fLg48tT3XPBx1PFT+JNca+kuLKGf7LY2+Re3nT/tmh 9fU9unWl8NaJ9skt7+eD7PZwf8eNmyAYGP8AWsPX0Hbr1NZt3fKjWKUVzSLPh/QpZLiPU9QjEcyr i2tMDFup7n/bI/LpXU0lFWlZWRm25O7FooopiMK+8I6besZUiayuTybizIjc/XAw34g1gat4Xvo5 BI1tFrKqcpMjCC6T6EYBx7EfSu8qKaPzo3TcyblK7kOCM9wfWpcUylJx2PNNU1PVJPD9wIdUka2V /KljuItl0uDgxhh1Y5xyPxrp/D/hK109re7/ANIbbGPIt7kg/ZsjLAY/i7Z/Csu48I32n2X2aJYt UslbeqgmK5BzncGzgsD34NRab4k1GxmEX2iS4Paw1WPyLjH+y+MN+OfrUp2+I0aUvhPQTSA4rn7P xjZOwivd2l3H/PO7IVW/3XztP55rfBDAEHIPQ1oZbD6KhjuIpmdY5EcxttcKwO0+h9DU1AgooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigApM1n6trVpo0KyXMhXedscaqWd29FUck1w9xr2 reL5Bb2sDwQ5+e3jZ0IGD/rpQPl/3F5PrQNK51M/jLTotTt7GORrmeaQRboF3IjEZG5un4DJrfxX M6B4Oh0lknuGW4uY+YxGpSKHjGETJ5/2jya2tR1K20q1a4u5RDEuBuIJJJ6AAck+woB+Rbya57Xp LLQ5o9RFgk+pTsLaJlAVmJycFsccA89eK0LTX9PvrGS7ju41t4ziRpDs8s+jZxtP1rl9a1R/Fccc FlHssVlEhvJsgsVbIMYBz+J49qCoxcnZIqX0kk95DLqhbUb/AOZrewt49yR89VGO399v0rXs/C9x quJtZOyDnbp8TEDrwZGB+Y+w4+tZl7GdI1CPWbYyJIrot0q5Pmw5wRt7kA5H0rRPjeeOZJW0q4+w SHZGy8zFsEglOwOMcnjvQdNRTj7kVodTJJDZ25d2SCCNclmIVVUfoBXJ3niC615jFprNaaeGw17n Eko5yIxjgf7R/Ad6rXS3Ott5+qsI7ZG3x2CkGNMDq5x8x/QU6zhn8VSBLZpLfSwf3t4MqZsfwx+3 q35UExpqC5p/cWPBszQ399Y27SXGnIqusxO4RyZwybj97PB9jnPWuyNV7Kyh0+1itreNYoI12oij gCrNBzyd3cKKKKCQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPl39t79tRv2N9N 8I3Q8F/8Jk/iCe5g8sap9iMPlLGc/wCpl3bvM6cYx3zWD8BP20/il8W/ivofhTxJ+zL4w+Hujah5 /n+JNUa6NvaeXBJIu/fYxL87IsYy45cdTwfBf+C3Cu2g/B4RsFkOoagFY9Adlvg17J8PvD37UHwp m8QeKf2gfi14Z134Yabod9PqNvoFrGl4m2IkSRlbCEkqAcDfyccGgD7Wry/4jePPiN4b8feFtK8K /C3/AITPw1qEsaav4g/4SG2sP7JQyhXf7PIpefahL4QjONvU1+OXxas/C918E0+J3wg+Efjbwhp+ m6lHBH8UNV8Wt9puXDlCGttxyxYj5oSArDrwRXvH7QvibUvGnxw/YD8Q6vObrVtWtfD1/eTkAGSa W5snkbA9WYn8aAP1j/irmvFGrXC3NvpVoxt57pS7XOQNkYPzBPV/5da/LHRfgPaftHf8FMPj34P1 LxR4g8MaVJp89xeyeHblYJ7uJZrFfs7sysPLLOrEFTkxrWhD4Btvj5+3XcfAfxnrOsTfC/4a+H4r DR/D0t60H21bW3tolaUx7N0knmNKzqFJVQBhQKmTsrlxV5JH0n+3l8e/E/7K3wr0DxP4W0zRtRQ6 1Dp4tdaillhO+G4kLMsckbFsxKQd2OWyCcV9YeB/EL+KPA+g65O0Kvf6fBeSmHiNWeNWbGScAEnq T0r8tf8AgoR8EfD3wF/ZVm8OeGNdu9Q0eTx/Z3cWk312bl9J3abcDyAzMWCnHmANg4fv1Pn3xW+D dx+y98Zv2cPFmg+LvEOv6p4we1fUf7UuVcviS1DwLtUfuXScpsbdgDr6RCWljSpF8zZ+o03xU+Jl p4u8c2ep/CtND8H6Lpt1eaV4vl8QW90mpSxhTGhskAliDAucs3Hl46sK4T/gn1+054q/ax+C+s+L /F1jo+m6lZ+IJtKji0WGWOExJb20oYiSWQ7t0zc5xgDjqT8cfCS4udF/4KFftMpDbRo48IanC1rN NyF3WXyq3cjHHsK8P8AfGLxD8Lf+CY+v2nhjU5tKvNe+JUmm3t1ayGOZLVtMgkZVYcrvaEKSOqhx 3rUxsfpB+3R+1p4w/Zj8TfCTT/C+m6Lfw+LtSns75tYgmkaNEe2UGLy5UwcTv94N0HHXP1zX4x/t c/s1+C/2erP9l5vCYvHu9avftGp3txfzTreTA2LecsbMUjJMjfcVcjbnOBXc/tpeCfHVx+1J4h8a eOfh/rvxt+ClnB5Nnpnh3WJobfSykKeaZBb7mhkjcSMwcKG3AlsDABH6x0V8f/sE/ETwnr37PMUH w3vtdv7IardRx2fiZ/NuNHzsYwPIGIkRQ4KEYyGGQCGr6l8M642rWTLOixX1u3lXManIDYzuH+yR yPy7VN1ew7O1zbqpfafa6lD5V3bRXMfXbMgYfXmrdFUI5O68FvGhXT7srD1FneL50P0BPzAfifpX PPDe6Dv81r3QYSCoaCQXFpg9SBj5D6cCvTBRU8q6Fqb66nl8Onutol7Z6Zex2pBEV5p83+kuufvs vVgTk85+nNbOmeKdQjVgDFrEcfDL/qbpPZlIwT/3zXb1man4e0/WMNd2qPKv3Zl+WRfow5H50uW2 zHzJ7oi03xVp2qTeRFN5V33tp1Mcg/A9fwzWxgVxeo+D75Y2CTx6tbA5W1vFCyL/ALso7/UfjWfb 6tfaDOInuprVj/y6ay+5G/65zDP8z9KOZ9UHKnsz0QiisDSfFKX18tjc272l6yl0Td5iOo6lWH9Q K6Cq32IatuFFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVe685rWYQFVnKMI2boGxwT7ZqxRQBxWmfDuOa E3GtzzX+qSfenWZl2D+6uCOMcfieldXY6fbabbrBawR28K9EjUAfX6066u4LKBp55o4IV+9JIwVR zjkn3qvJrenQwwzSX9tHDN/qpGmULJ/unPP4UAX+4rivFlollr1lqc48+CQfZjvwRbvnKsuegPzA n1x9K7U9qyvE2nvquhX1pGivNJGRHvJADDlTn1BAI9xQVGXK0zmrjRbK6vBcy26vMMct0OOhI6Ej sfertVdLvE1DT7edGLBkGd3UN3B9watVZ7MbbrqFIzBVLMQFAySegpapNZRaz4gs7CdfMtUikuJY 2PD9EUH2y2fwFApy5IuRAkMniq8t4rZGm0qOb/SpiwEUoA+4pBy3Ppx6mu+RFjUKqhVUYAAwAPSh EWNQqqFVRgADAA9KkqDyJzc3dhRRRQQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAeD/tRfsfeDf2tbfw1D4v1PXdNTw/PNcWv9i3EMRdpAgYP5sMmR+7XGMdTXr/izwvpnjTw zq3h/WbRb/SdUtJbK8tZCQssMiFHUkcjKkjI5rZooA+KJf8AglH8LJvCF54Ubxn8SP8AhGpLgXVv pH/CQIbOyl3ZLxQmDy9xGVLOrnBPIPNej+Iv2E/AfiXXPgzqt1q/iOO4+FNtYW2iLDc24S4W0aJo jcgwEuSYV3bCmcnGOMfSFFAHh3gP9krwh8O/2ifF/wAZtN1HW5/FHie1ks72zup4Wso0d4HJjRYl cHNun3nbgtx0xgftDfsQeCfjr4rtPG6XOteE/H9lGqR+IfDOoGxupUUYVWfaw3BSVD43YwCSAAPp CigD4k139hH4YeJvgzd+B9W17xi0MmvJr+o6jdalHPq1zfrA0AEjyRMrAo3RUGcA5616D46/Yo8L fGbUPhtrPijVPEFhdeBGjbSLPT7iBE2o0LKLjdC29ibdM7CnUj0x9ET6HY3GpQX8lqj3kIwkpzkf 0OMnGemeKwfiv8UvDnwV+H+seM/Fl8NO0LS4vNnm27mJJCoiL/E7MVUDuSKiMbO5rKpzK1jynTf2 JPAWm/Gjx/8AEwX2uXGu+NNOn02/tp54DawJKYSzwKIQ6uDAmCzsOW4OePP9M/4J4/DrwJ8Etb+F 0lvrPifwdquptqxvLmaM6lY3BjijDxtHGgwBCp+6erZBBxXmFr/wVyvtStbrxDpn7Pvi/UPh9bSM s3iaKdikag8lwtuYlYdwZvxr2H4zft4z+A9N8BS+CPhN4q+Jl/4w0GDxFaWemqVe3tZVDIJfKjmY Pg8gKRx1NU1czTsec2f/AATp+G1xH4Sm13xv8QddsvDc6zaVqE2uR3MVtGrRlLYwvAywxKYx/qwp +Y7jwu30H4xfsU+BfG3izX/Eem+M/Hnh3U/GB36lpnhfxCbax1LKBC88ZjfMe0c84PQda5f9nv8A bq0b9ojx5q/hCbwJrHw4+JNkjSvpF5J5sVwqsqyrKWjjZXXcCQyA4zyelc/44/4KTfD3wf8AGfQP AXgnw8/iy91LVV0jVdQ86TT47CY3Cw7UWSAmbDFycbF+UYY7jjNylHTc2jGMtdj6a+CXwS8Kfs/+ A7Twr4Q05bDT4mMsrbmeSeVvvSOzEkk8fQAAYArsL/T4HZrwzzWMsaENcW8pjbYOSGPQjvzV4kKC TwKp6ZZt4quFmdWXRom3IDkG6YHg/wC4P1PtXNFSlK6Ouo4wjZo5bT7jVNa8QSkarqUUUce5GdjG VBwUYpgKwbrjHIHNdtpfixxcW9hqdu8N/K3lo8Q3RS4GdwPUe4PSmeOI47W3g1GNlj1CFtkK7cm4 z1iwOTnr7Yz61j6beS+H72XU9ahEiyqF+0wksLVT/Bt9M4+Ycmum7UrX0OOylC6Wp6HRTVYMAQcg 8g06tTEKKKKACobi3iuozHNEkyHqsihh+RqaigDM0vw/p2jyTPZ2iW7Sn5iuTx6DPQew4rToooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACvyH0P8AbGvP2e/2yP2ltZ8UeINU1fTNNt9Tt9B8O3eoSvby3pv4FhijjLFU AXeSVHyor49D+vFfjRov7Ktl+1B+3B+0v4Z1mG60+bydVvdF1RkdIoL4X0CxSHHDqQ7qV5yrMRyA QAfVX7BHg3xto/gzxF+0H8b/ABlqwn163m1O10/UtQlWx0zTzmV7kwFtib1GUUD5IwMffIG/cf8A BUb4e29hD4ifwL8Q1+Hk159hj8btoYGmPJuK5VjJuK5B/h3cEbcjFfN37Pfi7x/8Uf2Z/it+yf4q tbvTviJounT2vh5r4FFuooHDNY+aflJUptQ5wY3/ALseT5X8N/DPwt0/4Mx+CPjDbfHTT/GmnvJD L4J0/wA82V24lZ4vs8LRlFzlc7sfMCRnIoA/Qv46f8FEvht8APiB4Y8N67a6rf2XiDRoddtdc0uN J7b7NK0qxnG7exbyuNqkfOvPXE/7N/8AwUK+Gn7S+veI9G0mDWPDWoaHZyalPH4hiihVrWNgskoZ JHA2Fl3BsYDA84OPkTxN4UuNN/be/Y5hi8PappNlZ+B9Ejaw1JWlm08qbs+RM5Rf3kfCnKqcr0HS m+LPhprPjj/got+0n4f0O0lgude8C39jZzbDHFJcTabaAKX6fM5IJ9zQB037Yf7dfhX9of8AZb+K mheDPBvjXUNBje1tf+EwbSANIEqXlvJh5d+6PcoG3coOWUEDcK8L/aTvIT+xp+x7Ajq9xG87tErD cAXjxn0zin6H8V7fw1/wTj8f/AvUvCHinTviDa3/AJlxbf2LN5SR/b7eUzTSYxGBt8v5uc7AM5qt 8d9GuLn9kD9lFbXTZzPHcXAuFjgYsCJI+WwP50GkY81z9Dvid+3Nofwl+ISeAZvDuu+PfG89ut2N C8F2P2qe1jIyBNucAfLhuMnBBIAYE+OfF39vgfEz9mb4g+Jfh7D4i0TX9DkXTrzSRaKt9o0jb8XN 1nIEWY3U4zzwRnIrwj4//Cm6+F/7b3irxp49Tx5Y/DnxRb7rfxR4Flljlt3KQ4inaNWOxWiZTH1I 2MM4xW74H+F/hDxR8Kf2jF+EPh/4gamNV8PJnXPFobOtXXmSyulurRKzuNuSzEszSY2jgsGvs1dn q/7H37Zl9dfs/afq/wAT9F8RWenaTp13e33j++sY00u72XbJHFEY8FpMMsYUJktGRyeuzb/8FIvB 97NoN7qvhXxt4G8D65cNb6d411jRlFhcOMjhg7fLkHJAY4B4GDj5e8DT3vx9/YBT4FeFtI1c/Ebw zHPrFxplxYTRrdRx6g8pjikK7S+ycEISGLLgA9avfGL4nXP7Qn7Hvwk+APg/wB4qufiZpUunWmoa dcaRLDHZG1t3gaVpGAVQ5YNk4CqXLFccgSqysoxZ9WfFj/goZ4D+B3xRj8CeLNL1pr5bIXUmoadD HPAzFHKIgDBmLlAqnG394pJAyR0n7K/7aHgv9q7xlc2vhaz1TSNU0eGR7ux1qOON3t3wA8ZR3DYc KCOCM++a+YLrwTqngP8A4KgfB3TbizutW/sXwha6fcXdvA8iyyRaRcxM4OOTlc+tdB+xh4ZuY/8A gph8d7y50240+Fba9uIwUKoZHuoM84wTh2PHegUqspQs2fpnRRRQc4UUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfCH/AAWUsdUu/wBk3TpbBZGs 7XxPZy6h5ecCEw3CKW/2fNeIfUrX3fWH4u8I6N4+8M6l4e8RaZBq+iajC1vd2N0m6OVD1BH5EEcg gEYIoA8Y/ZZ+JXw6j/ZF8B6rp+uaNp/hfTPD1rb3zzXMccVnKkKidJ8nCvvD7t3UknnOTa+KPjht a+BsekfBHxb4f8P+MNU0awvfCsUixIsdlI6eVItq0blYmhSRVzFgbSOCvHiUn/BHX4Bt4h/tES+L I7PzN/8AZC6rH9lx/d3GHzcf9tM+9a/xx/4J+/C/4zazodt4mXXNEOi6ZDoWhzaLeqsaadBu8m3/ AHqSAsm9uWG45zk1MnZXKjHmdj5n/Yg1S88Fft5ePPDfxNVPFnxa1W2lD+LNPv1ntExFHPJGI1jU KSiqC3GwxiMIuTU3/BQbwB4Y8E/tS/s8z+HfDekaDNqetrcX0ml2MVs13L9utjvlKKN7ZZuWyfmP rX13+zj+xH8Mf2X9Qu9U8J2d/fa7cwm3fV9YuBPcLESCUTaqIoJAzhQTgZOK8a17/gkx8JviD481 bUW8ReNo5Ly9mvtQkivbPyo5JXLmOPNrnOW7k4GM5NYxalK6OuUXThZn2nb2zeKbp7dONJhbFxLz +/Yf8s1Pp/eP4etdRqF9aaHp5mmKwW8QCqqj8Aqgd+wArg/2fPgT4f8A2b/hdp3gPwzealfaPYyz TRzatLHJcEyyNI25o0RcZY4wo49a7DxB4f8A7b+zSJM1vdWrl4XxuTJGCGU9Rj6EdjWsY8qsjmlJ zldmFG017cNq2o/umVW8mBsYto+//AiAMn8O1Vrjw/ceMNMnuJpJrS0ClrSFYwWkxzvZT1B6BePW r1r4f1HWLgJrEEcFlCctDFJuW6bPBPcIOu08k9a7PNRGLvzPc0nUVuWOx5RpN1qf9n2s0eq3V1qz nyra2WTcFx1WRTx/vE8jjnivUofM8pPM2+ZtG7b0z3x7VEum2kd412trEt0y7WmCDeR6Z61ZzWqV jFu46iiimSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUV+W2ofFT44ft8ftP+NPA3w2+I N58Lvh34Rkkhk1DS2eOaQJKYhKzRskkjysrMqb1VUX+8CWAP0b8b6fdTwJdeY82nQD/SLJSV3rkZ fK/ewOdp44psLI0KGPHllQVwMDHavibXLn4+/sL/AAd+LeveM/iH/wALT0C10q2Xw3qWpjfNFfzX K2581JC0hCiQPtLuhCYyCSK+Vdb1D9oz4P8A7PXgT9oe7+L2q6xp2vajHC3hW8uZpLZIW81oy8Zf yyjiEgqiqVDrg+gdNKt7O6aP16vNUgs/LQkyzykCKCLDSSE/3R/XpVqz8L3GqYm1o7IOdunxMQOv BkYH5j7Dj618sfEb9l3xd+0p/wAIn8Sfh98ePE/wf0LVvDdlP/YmkfaXjPmBp/NLpeRDO2ZFxt6R jn0+f/8AgnJq3xN8dftaeLl/4W34t+JHwz8Iw3EEmpazqV0bW/kcmOBlt3mkUFiski5J+VM8EgU7 iqVnPRaI/VJEWNQqqFVRgADAA9KkoopHOFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVLUtNttWs3t7qMSRtzjOCCOhB7Eeo q7RQBxEmh65HImnrKr2zHH9olh5iJzwV7vjAyOO5rqdL0u30iyjtbWPZEv4knuSe5PrV3n1pNvvU xio7FSk5bjqKKKokKKKKACkpaKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvyK8 OeKvE3/BMH9qr4j3vijwZq2u/DHxdO81vq2mRg5j855YGR2whkQSPG8bMpydwONu79daKAPzi+JH xo8T/wDBRj4B/F/w54J+HOtaN4dstMtL7Rr/AFaEifVbyK6SZ4U2kx58uNlCKzncykkZxXyj4x+P Wt/HH9lL4bfsy6B4B8RS/EPR9TjjvUa1xGY4vOWJVXO9T+9UuXVVTYeSDkfuXRQB8Bft3/GKf9lX 9j3wb8JNDuzL421vRrXwzbta5MiWsMEcNxMoHOWGI175kJHK17x+w3+zfF+zL+z3ofhu4hRPEt8P 7T1yVcEm7kUZjz3EahYx2Own+I19C0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVlya/p8W qppz3SJeOMiLnv0GegJ9OtalABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUwOrMVBBZeoz0rO8QXF5a6VPLYQ+ddAAKuMnk gEgdyBk474rntO0eJrOHU9DvPMv8EyTzEkXJPJWUdjn8VqJSUdwO1rD1zVp45F03TgsmpTLnc3K2 6dPMf+g7mqUnjJZIfs9vayDWmOwafLwUbGdzH+4M53DrV7SdNTR7WaaeYS3MpMtzdOAu446+ygdB 2FTKfKtAKdxoul6boM8N42YCfMmuZSfMaQn7+7ruzjGPYCr3hOa6uNDt5bx3eVi215F2uybjsLD1 K4P41Qs0PiO6i1KcbdKtm8y0jIP71h/y2YY6D+Efj6U9fG1u32dzp2oJa3DIsd00S+Wd5AU/ezg5 HalTTirye4HS0UUVsAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRX5Yft8ftu/Gr4DftVyeHPBHiER+GbHT7PUZdHbS7WdJVwXmDyNEZQr AckONoyQR1r0f4z/ALbPijVPi5+ytN8NvEp0/wAD/Ea7tP7UsDaW07Sq99BDLAzvGzIybpY22MuC Dg8A0AfoRXB69rFvo/iDzdLWaa8klWG5tYoi0UzHHG7osgXn6da534yftX/CX9n28t7Lx942sdBv 7hPNjsfLlubgoSQHMUKO6qSCAxABwcdKh8G/F74S+MPBV78TdC8a6bd+DrF5Jrq+kufKtbObC7mk SQK0cmCuFbB+cYHIpNXVgPS9L1Ky1gG5t9vnqoSRWXbLH32MOo5zxWXrGNT8QRaVcvtsFtjdSxp9 6XDY2t3298DOe9eI+Cf20fgh8Xvippnh/wAG+P7KfXpiQ3mQ3FsL3AIEEfnRqsjHqMEnj5cmt741 ftW/BX4V+KLbwx418fWOgeJvlkhijjmmltSw+VpGiRhECCDiQqCCD05rl5eWXcD0y48XWviLS/sm hyLNeXQaJUcbfIXGGdx2AB49TgetaV9oYn0KLToZPLaBY/JkYZAaMgrkenyjP1r82v8AgnL+1RZe BPg38TPGnxe8c6xdaTD4htrOLUtSN5qhiaSJ2CgIsjIrFeuAucAnJFfcnxD/AGpvhb8Kfh54b8c+ KPFkem+FvEQiOlXyWlxcfahLEZkKxxRs4BQZyygDIBwSBTqc3NoB1moR6/b2t3qz3vkXUcZ22VvH 50O0D0OCWJyd3YHFdNpN41/pdpcsYmeWJXYwtuTJHOD6Zr5s+EPxW/4Sr9qzxx4ZT44v4qjsrGW6 Hw5k8HmwbR18y3CyG/ZAZinmBdhOT52SPk4+Afgl8aPiZcfsDftD+JJPiB4mk1HS9S0yOx1B9YuG u7VpLy3D+TLv3xgqzhgpG7dzWtNvW4H7P0V8ufs8/tA6D8P/ANiz4aeN/in4zWzF3pcfn6trl089 xdTFn4BO6SV8AnADHAPpXonwZ/ax+Ev7Ql9d2Pw/8a2evahax+dLZeTNbXAjyAXEcyIzKCQCwBAy M9RWoHr9FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFAH5n/ABK8N6d4y/4LCaVoOs2kd/pOp+Fbizu7WQZWWGTS7pXU/UEivka1+F/iX9n79vT4X/Cv WLue70jw/wCPdOudFkmHElrc3tuyyqf9pUXco4Dq465r9wZfht4Sl8bQ+MZPC2iv4uij8mPX206E 36JtKbRPt8wLtZlxuxgkd6j8QfC3wX4r8Tab4i1vwhoOs+IdLKGw1bUNMgnu7Qo/mIYpXUum1yWG 0jB5HNAH5VeK18SeCv8AgpP8T31/4s2vwS1DVonk0nxTrmgW2p21zZt5XlQo1yQkQ8tNvmAjmJkJ ycV5N8Z/hfpXg34L/FbT/h18W4/i1ajxDouqeJ30XR0sLGANHqW1ovLmkSVBIUL+Wqon7rBOCE/Z n4meD/DHxGjg0LW/DGieKrjllTWtOivIrNT1kKyKQCccDjJ9qu+C/hb4S+HehrpHh3w3pOjWABV4 bGxihWTIwxYKoByOvtxWUqiiB+UmteC/BPjjQ/hh4t1z9rbR9bu9JubJtD8P6T4Ls4NUtZWeELb+ VBcpJGFKIP3gCLtJHXntv2XfG3g74Rft7ftG3nxg1bTfD+tyXl22m3+vyLEpga6Z9sTPx88JgKqO SgwB2r9FdH+Avwy8Pa4utaV8OvCemayrb11Cz0O1iuA3XIkWMNn3zV/xF8JfBHi/xBZ67rvgzw/r WuWW37LqWo6XBcXMG05XZK6FlweRg8GsXUvuB+Xv/BPD4SwfHj9kb9onwRtR5NXu4xZM3CrcpEZL dvoJUjP0zXmf7Mupa1+1j8TP2e/g9rdnM2ifDQ3t7qnnLxJElx5oSRfQBLe356bz9a/ZXwX8NfCH w1t7uHwj4V0XwtDdSCW4j0XTobNZnAwGcRqu447moPDXwn8D+DPEGoa/4f8ABmgaFrmoBxeanpul wW9zc73Dv5kqIGfc4DHJOSM9aPabgfBv7Lf/AClt/aA/7Ad1/wClOnV8nfBdrqL/AIJw/tItHKn2 STWdJjlifhs/a7Yqy+p4II9Oe1ftFH8K/CVj4l1DxLpfh3SdH8Uaiuy817T9Phhv7lNyMUknVQ7q TGmQSc7V9BXC658J/hTpulXXg2DwR4U0fw7d3UN1q1nb6Pbx207rzEHhVNsj8A7mUhQM+lXGV3ZA flr8arHXdP8Ahb+xn4ku9Wk8P+CLTS0h/t6TTF1K20u8+1B3mktn+SQ+WsbBG++ImAzg19EfCPwV 4Vm/bi+G/ja6/af0j4uePtSjurZbHw54atbZZ4E0+5ZjcyWtx5ce1RxuRnJCDGBuX9DLLwV4Tm8G QeHLTQNHbwn5Iii0iKyi+wiLOQqwhdm3PbGKo+D/AIM+APh3eSXnhXwP4b8MXcgKvPo2kW9pIwPU Fo0BNdAHaUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFVr28i0+zmupmKwwoZHYAnCgZJwKAOc0FW0W9l029XN3cu80d92u+5z6MAfu9MDjivPP 2tf2jLH9lr4J6r44ubQalfLIllptiz7FuLuTOxWPZQFd2xztQgc4rrbNb7xlrAuGlNvDAOWgkH7h WGdisP8AlowxuYfdHA618qf8FUPhj4o8c/svLaWNtNq8nh/WINYWWBS0s0KxTwurKP41WYPkdQjd +DzSp3lfoB5b4T8eft4ePPh7a/FWw17wnp+h6jGL3TvCl1aW0U15C3zJ5QaIttZeV3zhiCD3zXsH 7Sv7YHxX+F/7P/hLW/DXwx1DVPFOteHJLzxBqFvZXBg8JXSW8LyNPAYnwFaWUgTOoAhOdwDV518A f+CnXwY8M/A3w7L4xvdQg8Y6DpEGmL4ftNMkk3+TGse6CTHl/vNgbLupGcdsn1D9rj9pPwBa/snL q3iPU5PB3ib4l+BbuXRtLa3nuftLTWCk2zvHEUBVrmNQ8mzk54AONORPcDrP+CdPxk8Y/Hf9m208 V+OtY/tzXpNUu7drv7LDb5jRlCrshRF4yecZr5auP2+Pjv4o/bA+GPhDUPCuo/CDwvquqWtpceHt V04PPqMD3BR5vNuLdHCkAqDGFAweSa7D/gkX8evA/wDwqCx+FB1ll8di9vtQGl/ZJsNBlW3iXZ5f TsWz7V4h+1V+1V8LPH37dvwU8e6D4o+3+FPDJs01bUP7Puo/sxjvZZHHlvEHfCsD8itnPGTWSj7z VgP2ErmfHVnbf2NPeNbI13EUMU+wEoQwwWP93PXPGKT4b/Ejw78XPBemeLvCeo/2t4e1NGe0vPIk h8xVdkJ2SKrj5lYcgdK6YgMCCMg9RWKfK7gQaVawWdkDDHBEJf30n2f/AFZYgZYexrJvvENxqFwL bQTb3ciDfLcOd0KjGQmVPLNx06DmsXxRod1Yae9rYXbxaRMc3Foih5I0zljED/Dzyvbt6VbsdBu7 KzSDw/eRNpN0uRNIdz2+erIR97I7Hofbiuzm5o3iB0Wi6wmrQyny2gngkMM8LkEo4AJGR1HIwe9a dUtL0y30mzS3tl2RrzyclierE9yfWrtaAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFNZQwIIyDwRTqKAK9rawWUflW8McEeSdkahRk8k4FWKKKAOBk+A nwym8Rf2+/w78Jvru/zf7UbQ7U3W/ru83y92ffNW/iD8IfBPxUht18XeEdB8TSWqSJZza3pVvfNb bwNxj81G252qTjrtGeldnRQB4/8ADb4L/Dj4Z65CdI+Hnhbwv4khhaOLUtL0e3t5biM8MUlRA3PG 5Sf0qWT9lX4KSMzv8H/ALuxyWbwxZEk+p/dV3/i7SpdW0SaC3jR7kFWjLcMpDAkq38LYzg+tR2fi aymtZ3nZrKW2GbiG6GySP3I7g9iODmuWpFxd0A/w34Z0jwbotro2gaVY6Ho9qCttp+m2yW9vCCxY hI0AVQSSeB1JNWdV1KPSNPnvJQzJCu4qvU+gHuTUlleQahapcW8glhf7rr7HB/UGuSHiHTvEHje2 sWZ5raBSYRj909wCTuPrgKce+azjFydgLF94Nude06ee8mWLV5sGNiN6Wqg5CJ746sOc10mjaVHo unxWkbtIEyS7dWYklj7ZJPArRorstbYAoooqgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqF7otjqNxb3FzbRTzW7bopHXJU1foo A8//AOEW162+06fY3UcWmXE8hEjSs7RRsDhQp6YJ7HqOfSumsPCunabdRXMNuBcxxLCJNxxgKFzt zjOABnrW1RSskAUUUUwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooA//2Q==