20251205 14315500 1.0 FALSE FWSInterest_Simplified -20037507.067200 20037507.067200 -1733737.819200 11124478.958000 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <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/3.5.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere 20251216 16095300 20251217 9125700 150000000 5000 FGDC FWSInterest_Simplified Simplified FWS Boundaries U.S. Fish and Wildlife Service Feature Class 6164 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. ORGNAME Organization Name - Official name given to a Service organization that has been assigned an official five-digit numeric organization code by the Washington Office, Division of Financial Management USFWS Data Element Standard for Organization Name Master List of Official Names for FWS Wildlife Refuges Organization Name String 75 0 0 Shape Feature geometry. Esri Coordinates defining the features. SHAPE Geometry 0 0 0 STATUS The current status of USFWS management pertaining to a parcel of a land or water, and whether the parcel is owned and/or managed by the USFWS (Acquired) or is owned and/or managed by another party (Inholding). USFWS Division of Realty Inholding or "1" Inholding - Lands within the approved acquisition boundary for which the FWS has yet to acquire an interest. USFWS Division of Realty Divested or "2" Divested - Parcel with previous interest USFWS Division of Realty Acquired or "0" Acquired - Parcel for which FWS has fee or less than fee interest. USFWS Division of Realty Status Code SmallInteger 2 0 0 INTTYPE1 Interest Type 1 - the primary real property interest (land or water) held by the USFWS. USFWS Division of Realty A Agreement - Lands and waters owned by the United States, States, or others for which the Service has entered into a memorandum of agreement (MOA), memorandum of understanding (MOU), and/or administrative authority to manage the subject lands. USFWS Division of Realty S Secondary - Lands and waters owned by the United States, States, or others that are made available to the USFWS for management through permit, cooperative agreement, and overlay or secondary withdrawal. USFWS Division of Realty P Partial Interest - Lands and waters where the United States owns a specific interest on or over part of a geographic area, but for which the fee title remains with the landowner. USFWS Division of Realty O Fee - Lands owned in Fee title (full rights) by the United States where the Service is the primary administering agency. USFWS Division of Realty U Unknown - Lands and waters where the United States is unsure of the legal interest owned and requires further research or supporting documentation of ownership of rights. USFWS Division of Realty N None - No legal FWS interest exists (value typically reserved for "Inholding" tracts). USFWS Division of Realty M Memorandum - Lands and waters owned by the United States, States, or others that are made available to the USFWS for management through a memorandum of agreement or memorandum of understanding USFWS Division of Realty E Easement - Lands and waters where the United States owns an interest in, but for which the fee title remains with the landowner. USFWS Division of Realty R Lease - Lands and waters where the United States enters into a lease, typically for a specified term, with a landowner, but for which fee title remains with the landowner. USFWS Division of Realty Primary Interest Type String 1 0 0 LIT Literals - Unique alpha codes assigned by the Washington Office, Division of Realty, that identify the organizational units, areas, and project sites on Service-owned lands. USFWS Data Element Standard for Literals Master List of Literal Codes for FWS Land Units USFWS Division of Realty Station Literal String 3 0 0 ORGCODE Organization Code - Unique five-digit numeric codes assigned by the Washington Office, Division of Financial Management, to Service organizations where personnel are assigned and all unstaffed land management units. Organization codes may also be assigned to meet an administrative requirement. "-9999" is the null value assigned to entities that do not have an Organization Code USFWS Division of Financial Management Master List of Organization Codes Corporate Master Table (CMT) Organization Code Integer 4 0 0 UNITNAME Unit Name - Name given to a Service unit of a specific National Wildlife Refuge USFWS Division of Realty Regional National Wildlife Refuge unit list Unit Name String 75 0 0 CMPXNAME Complex Name - Name of a number of stations combined under one management structure USFWS National Wildlife Refuge System Regional National Wildlife Refuge Complex list Complex Name String 85 0 0 DIVNAME Division Name - Name given to a Service organization division USFWS Division of Realty Regional National Wildlife Refuge division list Division Name String 85 0 0 RSL_TYPE Organization Type - Administrative categories that identify Service organizations by their primary facility function, program activities, specialized duties and responsibilities, and/or operational status. USFWS Data Element Standard for Organization Type WMA Wildlife Management Area USFWS Division of Realty FSA Farm Service Administration. Lands or interests in lands acquired from the Farm Service Agency, Department of Agriculture, that are not located within existing project boundaries. USFWS Division of Realty NFH National Fish Hatchery. Facility where fish are raised. Hatchery objectives are to replenish depleted stocks, to mitigate federal water projects, to assist with the management of fishery resources on federal lands, and to enhance recreational fisheries. USFWS Division of Realty COORD Coordination Area. Any area administered as part of the National Wildlife Refuge System and managed by the state under cooperative agreements between the Service and a state fish and wildlife agency. USFWS Division of Realty AS Administrative Site. Land used to support administrative programs, such as maintenance facilities or offices, and offsite visitor centers. USFWS Division of Realty FR Fisheries Research Station USFWS Division of Realty FTC Fish Technology Center. Fish Technology Centers work collaboratively with government, state, university, and private partners to develop new concepts, strategies, and technologies for science-based conservation and management of aquatic resources, focusing on the fields of Conservation Physiology and Ecology, Fish Nutrition and Diet Development, Aquaculture, Fish Passage and Screening, and Sensitive Aquatic Species Conservation. USFWS Division of Realty NWR National Wildlife Refuge. Any area of the National Wildlife Refuge System, except Coordination Areas and Waterfowl Production Areas. USFWS Division of Realty WPA Waterfowl Production Area. Any wetland or pothole acquired pursuant to the Migratory Bird Conservation Act or other statutory authority and administered as part of the National Wildlife Refuge System and identified by county designation USFWS Division of Realty WRC Wildlife Research Center USFWS Division of Realty RSL Type String 8 0 0 MGMTCODE The ORGCODE that reflects the actual managing station of a particular Service unit of the NWRS USFWS Division of Realty Master List of Organization Codes for FWS Land Units USFWS Division of Financial Management Management Code Integer 4 0 0 FWSREGION FWS Region - Regional offices within the Service that have responsibility for program and/or administrative activities within a geographically-defined area USFWS Division of Realty 8 Pacific Southwest Region (California and Nevada), Region 8 USFWS Division of Realty 2 Southwest Region, Region 2 USFWS Division of Realty 6 Mountain - Prairie Region, Region 6 USFWS Division of Realty 4 Southeast Region, Region 4 USFWS Division of Realty 7 Alaska Region, Region 7 USFWS Division of Realty 5 Northeast Region, Region 5 USFWS Division of Realty 3 Midwest Region, Region 3 USFWS Division of Realty 1 Pacific Region, Region 1 USFWS Division of Realty FWS Region String 1 0 0 INTTYPE2 Interest Type 2 - The secondary real property interest (land or water) held by the FWS. USFWS Division of Realty P Pipeline USFWS Division of Realty GX Grassland/Wetland Easement USFWS Division of Realty WD Withdrawal USFWS Division of Realty CO Colonial Ordinance USFWS Division of Realty ET Electrical & Telephone USFWS Division of Realty XT Timber in exchange for FWS receiving title to land USFWS Division of Realty R Road USFWS Division of Realty D Ditch, Canal, or Culvert USFWS Division of Realty LF Life Use Reservation USFWS Division of Realty H Occupancy USFWS Division of Realty GU All Minerals (includes gas & oil) USFWS Division of Realty T Telephone or Telegraph USFWS Division of Realty G Grassland USFWS Division of Realty F Flowage USFWS Division of Realty X Wetland USFWS Division of Realty A Agriculture USFWS Division of Realty FX Flowage & Wetland USFWS Division of Realty W Water USFWS Division of Realty M Miscellaneous USFWS Division of Realty MA Memorandum of Agreement USFWS Division of Realty N/A N/A USFWS Division of Realty E Electric Power Transmission Line USFWS Division of Realty O Other USFWS Division of Realty MU Memorandum of Understanding USFWS Division of Realty TR Transfer USFWS Division of Realty C Conservation USFWS Division of Realty 17B Easement across native owned land USFWS Division of Realty U Underground Materials USFWS Division of Realty XL Land in exchange for FWS receiving title to land USFWS Division of Realty L Levee, Dike or Jetty USFWS Division of Realty IN Intertidal USFWS Division of Realty RA Railroad USFWS Division of Realty S Sewer/Septic USFWS Division of Realty Secondary Interest Type String 3 0 0 SUM_GISACRES SUM_GISACRES Double 8 0 0 Geographic Information System Acres - Acres calculated by GIS software for each polygon and summarized by station and interest type. Calculated in U.S. Contiguous Albers Equal Area Conic projection for the Lower 48, Alaska Albers Equal Area Conic, or various UTM Zone, NAD 1983 projections. Esri 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. CostCenter CostCenter String 10 0 0 Master List of Cost Center codes for FWS Land Units USFWS Data Element Standard for Cost Center code IntReg Interior Region String 2 0 0 DOI Interior Region Department of the Interior Acquired 0 ORGNAME OrgName Official Organization Names Coded Value Default value Default value String ORGCODE OrgCode Organization Codes Coded Value Default value Default value Integer MGMTCODE OrgCode Organization Codes Coded Value Default value Default value Integer LIT Lit Three Letter Literals Coded Value Default value Default value String INTTYPE1 IntCode1 Primary Interest Codes Coded Value Default value Default value String INTTYPE2 IntCode2 Secondary Interest Codes Coded Value Default value Default value String RSL_TYPE RSLType Facility Type Coded Value Default value Default value String FWSREGION FWSReg FWS Region Coded Value Default value Default value String LM_VIEW YesNo Binary Data Coded Value Default value Default value String SUM_DOCACRES SUM_DOCACRES Double 8 0 0 Summary of the legal acreage acquired for a given station and by interest type. USFWS Division of Realty Inholding 1 ORGNAME OrgName Official Organization Names Coded Value Default value Default value String ORGCODE OrgCode Organization Codes Coded Value Default value Default value Integer MGMTCODE OrgCode Organization Codes Coded Value Default value Default value Integer LIT Lit Three Letter Literals Coded Value Default value Default value String INTTYPE1 IntCode1 Primary Interest Codes Coded Value Default value Default value String INTTYPE2 IntCode2 Secondary Interest Codes Coded Value Default value Default value String RSL_TYPE RSLType Facility Type Coded Value Default value Default value String FWSREGION FWSReg FWS Region Coded Value Default value Default value String LM_VIEW YesNo Binary Data Coded Value Default value Default value String Divested 2 ORGNAME OrgName Official Organization Names Coded Value Default value Default value String ORGCODE OrgCode Organization Codes Coded Value Default value Default value Integer MGMTCODE OrgCode Organization Codes Coded Value Default value Default value Integer LIT Lit Three Letter Literals Coded Value Default value Default value String INTTYPE1 IntCode1 Primary Interest Codes Coded Value Default value Default value String INTTYPE2 IntCode2 Secondary Interest Codes Coded Value Default value Default value String RSL_TYPE RSLType Facility Type Coded Value Default value Default value String FWSREGION FWSReg FWS Region Coded Value Default value Default value String LM_VIEW YesNo Binary Data Coded Value Default value Default value String 8D292772-3FD2-4482-AFF9-3B8D3B59B8BA dataset U.S. Fish and Wildlife Service, Division of Realty Chief Cartographer (703) 358-1700 5275 Leesburg Pike, MS: NWRS Falls Church VA 22041 US CDWG@fws.gov 20251217 ArcGIS Metadata 1.0 File Geodatabase Feature Class latest https://gis-fws.opendata.arcgis.com/datasets/fws::fws-national-realty-tracts-simplified/explore FWS National Realty Tracts Simplified 2025-12-05 U.S. Fish and Wildlife Service U.S. Fish and Wildlife Service Chief Cartographer 703-358-1700 5275 Leesburg Pike, MS: NWRS Falls Church VA 22041 US CDWG@fws.gov <div style='text-align:Left;'><p><span>These boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer containing polygons representing tracts of land (parcels) in which the Service has a real estate interest. Interior boundaries between parcels were dissolved to produce a single set of simplified external boundaries for each feature. These are resource grade mapping representations of the U.S. Fish and Wildlife Service boundaries. For legal descriptions of the land represented here, contact the USFWS Realty Office. This map layer was compiled by the U.S. Fish and Wildlife Service. Although these boundaries represent lands administered by the U.S. Fish and Wildlife Service, not all areas are open to the public. Some fragile habitats need to be protected from human traffic and some management areas are closed. The public is urged to contact specific Refuges or other conservation areas before visiting.</span></p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'>Data can also be downloaded from ServCat, the FWS Catalog.&nbsp; Go to this link for downloadable cadastral data:&nbsp;<a target='_blank' href='https://iris.fws.gov/APPS/ServCat/SavedSearch/Profile/2674' rel='nofollow ugc noopener noreferrer'>https://iris.fws.gov/APPS/ServCat/SavedSearch/Profile/2674</a></p><p>This dataset contains features which have been modified from the source regional data. For select features, geometry has been generalized up to a specified threshold to reduce a high number of vertices in large multipart polygons and improve web service performance. Currently five or fewer features are generalized in each dataset, with the generalization tolerance varying from 1m up to 30m per feature, as required.&nbsp;<br />To further improve web service performance: OGC geometry problems were automatically fixed where possible, true curves were densified, and the data were projected into the WGS 1984 Web Mercator Auxiliary Sphere projection.</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; margin-bottom:1.5rem; margin-top:0px;'>Sync is enabled, but editing is disabled. POC for these data are: cdwg@fws.gov</p></div> This data set depicts simplified boundaries of lands administered by the U.S. Fish and Wildlife Service including National Wildlife Refuges, National Fish Hatcheries, FWS administrative sites, and other conservation areas. U.S. Fish and Wildlife Service, National Wildlife Refuge System, Division of Realty U.S. Fish and Wildlife Service, Division of Realty Chief Cartographer (703) 358-1700 5275 Leesburg Pike MS: NWRS Falls Church VA 22041 US CDWG@fws.gov 2026-04-15 United States planning, Cadastre, boundaries, national wildlife refuge, national fish hatchery, wetland management district, waterfowl production area, United States planning Cadastre boundaries national wildlife refuge national fish hatchery wetland management district waterfowl production area United States USFWS U.S. Fish and Wildlife Service National Wildlife Refuge System Division of Realty <div style='text-align:Left;'><p>The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. </p><p>As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information. </p></div> Although these data and information have been processed successfully on a computer system at the U.S. Fish and Wildlife Service, USFWS, no warranty expressed or implied is made regarding the accuracy or utility of the data and information on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Inherent in any data set used to develop graphical representations are limitations of accuracy as determined by, among others, the source, scale and resolution of the data. This disclaimer applies both to individual use of the data and information, and aggregate use with other data and information. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with this data and information, and aggregate use with other data and information. The USFWS is not liable for the user's improper or incorrect use of the data and information described and/or contained herein. These data and any derived products are not legal documents and are not intended to be used as such. The information contained in these data may be dynamic and could change over time. The data are not better than the original sources from which they are derived. It is the responsibility of the data user to use the data appropriately and consistent with the limitations of geospatial data in general and these data in particular. It is strongly recommended that the data described or contained herein be acquired directly from an authorized USFWS source and not indirectly through some other sources which may have changed the data in some way. The USFWS is not liable for data or information that indirectly acquired through other sources. No warrenty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions or intended use. The U.S. Fish and Wildllife Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. FIPS Pub 199 Standard Technical Controls Esri ArcGIS 13.5.3.57366 Publication date and extent. true -179.999989 179.999989 -14.559746 70.170471 2025-12-05T00:00:00 true -180 180 -15.386111 70.170624 true -179.999989 179.999989 -15.386104 70.170626 true -179.999989 179.999989 -15.386104 70.170626 The FWS Interest feature class is an aggregated data layer derived by appending separate regional feature data sets into a single national data set that represents land and waters that USFWS has acquired a real estate interest in. (FWS Interest is available at: <https://fws.maps.arcgis.com/home/item.html?id=0a30eaf43328427db8750282d67f0005> ) This data set is a simplified version of the FWS Interest feature class. The spatial and positional accuracy of this information will vary depending on the original source data and methods utilized. All data sources are not listed in this document but are maintained regionally and are available upon request. We strive to improve the accuracy of this data and incorporate more reliable information when available. This dataset does not distinguish Refuges or other areas that are open to the public from those that are closed to the public for any reason. The public is urged to contact specific Refuges for information about public access. 2026-04-15 Tests for integrity have not been performed. Size Unified Code of Units of Measure [acr_us] Acre Features represented have not been tested for completeness Size Unified Code of Units of Measure [acr_us] Acre Queried parcels are dissolved on CMPXNAME, ORGNAME, DIVNAME, ORGCODE, MGMTCODE, IFWS, LIT, STATUS, INTTYPE1, INTTYPE2, RSL_TYPE, FWSREGION. Summarized on GISACRES 2020-04-22T00:00:00 Real estate interest parcels from the U.S. Fish and Wildlife Service Cadastral Data Geodatabase FWSInterest Feature Class are filtered: "INTTYPE1" <> 'E' AND "RSL_TYPE <> 'WPA' AND "RSL_TYPE"<>'FSA' OR ("RSL_TYPE" IS NULL) 2020-04-22T00:00:00 The two queried and dissolved sets are merged 2020-04-22T00:00:00 Real estate interest parcels from the U.S. Fish and Wildlife Service Cadastral Data Geodatabase FWSInterest Feature Class are filtered: "INTTYPE1" = 'E' OR "RSL_TYPE"='WPA' OR "RSL_TYPE"='FSA' AND ("RSL_TYPE" IS NOT NULL) 2020-04-22T00:00:00 Second query is dissolved on CMPXNAME, ORGNAME, DIVNAME, ORGCODE, MGMTCODE, IFWS, LIT, STATUS, INTTYPE1, INTTYPE2, RSL_TYPE, FWSREGION. Summarized on GISACRES 2020-04-22T00:00:00 6164 EPSG 6.18.3(9.3.1.2) iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJztnQeYXVW1x/935k6fSWYmk04KpNBiIKEI0sQSI4hIEVFRUJ+C gj7Up8LTp+9Z8D3lKTYQFbGAvWBXECNSBEORJokJhEAaaZMpmT5z3/fbMyvsOTnn3HPLJJO8Wd93 v9vO2WeX1dfaa6czmUxGRYK4plKpVLEeo56eHq1fv37X8woZAvda33iPasu/zv+cK8Q9I2l/DWpr a1VVVVVQe4X0P1XgWAptI3hvkrZ6e3vV3t6u/v7+rGuYTqeVzqtngQe2tbVp69at2rRpk0Pcjo4O 9fX1uQdUV1dr2rRpmjp1qpqamjRu3Dj3ezGgWIhhCJ+UwAsh9mIhFO9xhB1E5KTPjpqHVEh7SZ7t /2YQbCeO6KKeG/WsuP4DJSUlu7UTx/DyxlQaXbNmjf70pz/p5ptv1rPPPquuri51dnY66rSHlpaW qrKy0r3mzJmjN7/5zXrxi1+s6dOnF1Wq5Asj0YdCJExS8Akk7D97py+5ctmwazKetI5C9mwSPWpe /Oujnhv13e9ztmcHr436XjCBICF+85vf6Ctf+Yruv/9+RxR0AGJAOiD6IQgIBnHW2trqiGbt2rX6 29/+phe96EW6+OKLtXTpUlVUVGg0QByXyvXeIALl0mYu1+eCFLk8P5/rMjH3wbXDiCefuSkUfIaR ZM1zJpDNmzfrW9/6lr74xS9qw4YN7rcpU6bo6KOP1qte9Soddthhqqurc8QCUaB+rVq1Sj/96U/1 0EMPaePGjfr973+vv//97/rXf/1Xvf3tb1djY2NeAw1+z4aYcb8Vqgvn+l8cR0sCQcmQy32FQCpm nsLUHQAcAGpqagp6dtzzkhBbUOommfecCOS5557Txz/+cX3zm9900qG8vFzHH3+8/u3f/k2veMUr VFZWFnrfiSeeqAsvvFC//e1v9bnPfU5//etfHaH813/9l5Mw733ve3MmkqjFCOrnwXviftuT6lY2 9aiYCJPNphgpKCkpcdrDfffdp0mTJmnhwoW7EXYS+8/669/jvycBX920Vxzzsv8SE0h3d7f+53/+ RzfeeKMjDuCII47Qtdde66RGHAwMDDhpctppp7lJoo0vfOELam5u1pe+9CVHWO973/ucalYojAa7 ZqQhDPGjECibdMuGoKlAu3HX+79BHODMAw88oCeeeEITJkxwOGBGcpzdEQdJ+hvVt1xV18QEQuM/ +tGP9L3vfc/ZGwarV6/W7bffrlmzZkWKz5aWFv3sZz/TunXrtGDBAp1++ul6z3ve44jh05/+tLZt 26brrrtO8+bN03nnnedUs5GCYhjPubYxklIpTJ+2Z2ZDpCgvUxLbIpOA20McDz/8sB588EG3png4 DzjgAOfJDHOZR7nRo2wXf5zBecnGrJNKD94TEcjKlSudaoT9gd8dDxT2BxIAJG9oaHDIjcrlA8j/ 5S9/2RHX4YcfrltuucW5g9/0pjfpHe94h3bu3KnPfOYzrl0kEXYMhDJSUAz37GiQUIYYvrcwDFBf iRmZu92YTxIJ4D8LiFJng8B/uPgfffRR3XnnnY5B8mwQE9wxiCKCXFzSYc8O+81vywgkSRtcl5VA UKd+9atf6bHHHnPfUZP+/d//XTfccIMz1uEMn/zkJx13OPnkk50IBXbs2OGI6utf/7rOPPNMR0h4 vlCtWLA3vvGNuuSSS7R8+XL9+te/du/8f+mll0baMnsT9iZhRDkXorghv2EY42W89957XQzq/PPP d95Dm1sfEeMQJpNFjQu7/sknn9Q999zjGCT4MH78eKc9oGVksz/CJGGSvoV9D4uvZJMgQchKIHD3 b3zjG44rIDkwthcvXuwIAkT/2te+5rxUGNp4tjDIWZzPfvaz+uUvf+m+33XXXe511llnOaON617w ghfoqKOOcgSB65fnoMKdffbZmjlzpkYTFEM1KwSiOGMcN0S6w9hwfjz++OP60Ic+pA9+8IPO0wiR 5BPsy2RxOPAOw4Q4cOgAEMjBBx/s8CVMOuRCAMHnJbGb/LZM6uYCsQRCg3ibtmzZ4r4vWrRIL3nJ S9xnvBJXXnmlE9tIiUceecS5bT/2sY85d+7vfvc7vf/979fLX/5yffe733W/QzhczwBQr3h/4Qtf 6AKHP/nJT9xCIppzIZAk7t1C1amRimMU2j+fGwaRjnXbvn27PvzhD2vy5Mn6j//4D/33f/+3VqxY 4dRY1nLu3LnD2gt7RhgEuTIvCAH7FE3g6aefft4LlE47CcK6Z5NWST1r2a6J+p/54hUcQ0ESBPsD PZYJePWrX+30SQPiHx/4wAdc4PDb3/62M8oIAOKxgDiwS7j+ne98pzPacOuih+ISxpsFkHoCgRAb gWhQszDkk0IuUdF829xT9+byDFMX4IjB1B1+g9mg0syYMcOpVth6SOsf//jHDpH5DeKZPXt2rGMk lUCt4hpwgKAxqrh5q+gf619fXz/s/myepiDyFssdbQQSFwrIWYLgojNDDyM62Cj6LeoVnB99F9GK CCf/yox2ouosFGoaEoi4CYY9wEQSS4FQkDA8b29ArkZ4Ukkx0hKFOWWefWnHi3XhP9QsmNGxxx6r 73znO45RQSQ33XSTrrjiCqci21rEjSHqM+tnxIFqhWPAj5yDB3iufEiqVgXnLo5Yo5wJQQOdV1Li SEQgqFdwBKQFojIMkBjYJRAJE4SHC53385//vE444QTnvcImOffcc50ejHrmD4IJhIgAi7HkC/kG wHJF4r3tzbLnBz1ZfEYiYPthz/3gBz9wjA1pTtwKOPDAA52NgtRGmvgEEuc6zQTm1dQqiOPuu+92 DM6cNFxLuxAnmRXFWJNCmA33wjDC2o2DRF4sGsfYC/Mu4cbDMwX3IMqOwU3cA1FLvOM1r3mNM9ZR m4LEYQAHRB0oBtLFeVdyCRQZpykmjISrGAIxKRJ8Fq515h6bEAIxmDhxok466STdeuutjgHC5YNx lWBbqUA6jtmRrDeRcp84mDty7GCa2DmFRO2TxGWi+hiUHsxTrkSWlUBs0KhZwc5hBF5zzTUuhQRi eO1rX+sWggm//vrr9Y9//MNl/GKIX3bZZW5hogZnnLAYEDYJ+RrahapI+fbDbAyutzUIQzSuYcuB EQjSm8xqPIIQACoVEj4IMDtThXJB4NTQtXirSBlijZEiZoRb37E7IA5szlw9R/4c5GKHxBEPc2QS JNh23gRCA3B2JhI3rK/+sDD42X/xi1/o8ssv1+te9zqnJmGUYZP885//1B/+8Aenn6J6oQu/5S1v CU0n4Rq4UbEg28BzlSa5QqFEBUKB6ARVsd2QulEGri0+94Ckn/rUp5zEgDBwyR966KFOxQqT/Nxn ke1cxvbMM8/ojjvucO59s0Osb+AF9irZFXFtx81P0vhGFGFHzZG/LmHOgLwkCLYHE49tgetw/vz5 7neIhdgGKtQb3vCGXWnrLAw6KdcS50DVYqH/8z//07kbsUNsQv0JhwvR0Xwye/cE0ucCUe1nQwrm BS5HoA13KXOM/s68oQphN0As2II+AkAc5s0itYOYAxId7yD3RwHPwktpbvw4qKqq0kEHHeRShv78 5z87zSA4JlsDPGOsvUXQo8brz0su6meYChXVtq+Gxl2TtwQhAor4hsMjEdBdLUuTh+JTN+LgO2nt cLEzzjjDRcvxnJCQyOJioyB6iY34RiaqAP9DiLSfBKK8GKMNki68uUWRvOj1RKFRVSEGpDccmzln fnxniSEXHNLcvRjjZDzEuW+R9qwp0j5J/ltDQ4NLKIXxwdDCYkT0A2LGQYAXLSkSJg0c5gO0h3kQ RagFxUG4+ZBDDnGTiQRh9yBbahH7SAoz3vkPI+2Pf/yj/vd//9cRAHEQRCzvdA6bBBcuhjopKKec copbGNzCSBwGwcKfeuqpGu0QNATjJjmJLWOqCcSB5IA4sBGYZxgIBMNmMyMYIyazUcwdT+Io0oD/ syE9DAxk9pNPo2DFihUu+wF7k3aRSqhuviYA0B+kl8VWopAybG6SQFjqSLbrYdowD/95wc9x92dV sRDpeCNuu+02py59//vfd1wHhOZFHhUil8VFXLNLEHXKuBwqGrlbdJQ0d+wRIu5IleOOO87d/5e/ /MVd+7KXvcxty00ChXhGCoWgepAEgosT9LAQfTbiAPFQaXgx52RNw6RI2eA3iIDvlvzH3DKHJIbi ViWNJxvAvJAySWDFihVu3WCO2Eb0B0KwNfbHgs2KJMsVkYPtBOfM/z/MBgmLkfAOIy/ESZCVQJAQ ZN5aEAiViaREVCvyejD2mKhXvvKVLopOQCoYL8GLQqoD17J/Hc/Hu9/9bufZwkWMrs1z8ICFeVyK DfkY0cUM+AWlD2oLUgJbzbgyXA+Gw5xBQDg3kCrYGNgBSHaIwdQq2kHCIJ0t3lEsmDdvnpMgrBNM juBikEmAhBAtDDFqi61/vbmUs0mRMFsljEGF3c8cmvc137XLSiCISow9uDueKBaNlBEmDEMQYEJ4 sVhBsetzLNJScEEicSASvqMHY+OQyEiUfU+lauRzT9REJ12A4HXMLXYFKTq4Tf3/WFhsD7uOeUIV hUmx8KhfBhAQ2dMwGYjEgq7FgtLS0l3xK2yRqGAihEQeXVQ8xb8+7HM2SEoY9jtzGCzvU/Q4CABX J9kQ0YrIB8FJcSdZEa9WFFEEgZ2H7Eq86KKLHIFgt9BZ9Nl3vetdeXuwRhKCrsFCIKhmof+juqBe 2W9RKgOqAi+IAUcHhGCqjMVCckmhKAZkhvpKP4h5oFkEPWzFaD8f28WkR6FrmHjLLWL7ox/9qDO6 LRCFborHilyqJBvyEdEEFw3oLJwQ7xbtF7K4YfppIca1f08xrglebwmFZEGzkEkMffuMusU9eJOQ zEgf5tY8iyMNmSGChcBhjhDHkiVLnNGfq74fZjskeb5/f/A+5oD5SJoNEYcLiQmEBsjm5eEf+chH dhmV7A4kgk51EoJDqEu234AHcz2TyfVk/JLWzsIysXg7SMHGsC/WVtukor2YwcRcwOaF+YA4DMmS AtdiyLNbDyMd5GQ7AbYJWdLF2NcfB2VlZY47k16C5GDdUK2QavlIjkKlTVhmAfhmnqskUFCg0Afi HdgK6KOf+MQnXPYu3AujDW8UCI/hyF4DJo9OwiXZuE9gyTgdC4vUId0av34xdhDm6jJM2t5IAF4o ot3YDbkSqu+ZQWpjm9AejAqbbqTV1CVLljhvFpoAzybuBRP0U02KAUlcusF58VXRQhncLvUx1xsx AIlVoAOTNo1XCh89HJF3OJttijL9mMXknXvxvhB5J4gIQeXCPZPAaAgYxql4IBVMAySz34LXhKkQ wd+ZYxATJoUtR9Y0Ks5Ij/+ggw5yqjaAqk2QF+kRjHvEuXeTuH6jDPk4lQy1M5tqlatqnVdlRZAa w5qgH6kmP//5z90OQtyU5mWxjqBykXKAoc+1uIYx7IvhacmHS+QTP0kSDfeROIo4YBRPPfWUy2GK WsSw+8P6zG8EBnGcwNWJXu8pD2D5UGKk7UMJCwoG5yNXz1VQI8imIYBzEEe2otQjZqSHAUiOSkVa NcFDpAj2hRmLqE5shCKoRAAQ1WqkbY1sRFOIGpCk7bhoOaoQ3jvbbhyMsseNCXUMBuRvGSVni1Qg 3O5h2wj2FGzatGlXsfIgZFOPkq6jfQ9rD+Ig4TUXu2NECQQqZbEtuxeJgjcFYrGttCwolUwwwFGr +G5Sg0UuVLUq1KUZFaVNcq1/TxL3obl08foR24iSHFHAfxAWkgd1xpCEmASVYfyYyJ6Eqqoqpw1g sOO6D0uMLKZdEhUMNOIYCQmaF4GwyOwzR51iwVChiGMQRfcjwcRMSLVmccnRYl80nIaAF6pWcJPP SEFYaodlwBqhxQU541SfsP+ChMPzsM9Qrxh/NuYQ9iwMT1JN2JlpKSbMPZ7DYh0nkSuUlZW5yDmS Lcy9m9SjmM81FgiESecqOXJRzfOaWYvc4tplMxQLjoi3/clk5vK/+eTJ7GRHIQtJRjDpCkgV1K5i V3eP4s70GdWPxcQDA3GDdAB9gPsxBjZ1Wf2mpG7hbJPNfMAsSBuJsk8Ac2b4qgTzifQBCTDCjznm mGGFM/YmpFIppxVA+GRZXHDBBUUJpmYjHuYIwrDdrmHaQLGkSUGsB4RHCkAYTBREQQ0t9jrD3dCR AX7HFYyPnlwuJAoJi+QNJUmsyxdsoiAE3MykySD97AwTf0EsS5VUCYjX34aajyPAgOdgm5FvFacW wg2ZL1RXCIA5hSi4105EwpYbTVBVVeViYxA/1TPRCoIFIKK8cnHXxAHzAGFYVkE+xJHEtV4UAiEC jhEOMVCggWAVxIHtAae2XC0kCcEtdGUq/LHwV1999YiWGfWLCnDUAvlOVpcrLB3cDGGkDEYnG37o n5+ZGoQo7mXAM3gmSA4BxDkomC9c5EgwPxpOJjWxIlNX95Y6FaVi4ZlEQuIoIHCMR82H4NyFzWU2 4jA1FbwxaWq/h11bKPhtFDTblI1BxWLhqbqIdCCyixoAp8Zn7gNSBgSA81BZo1hJdVEcCETDMIZA +B9HAh6ksHQM311J38mupX/EauKem+031Lkow9wH5gRmQ6CPRFCeyz2of+Q30W8+7ym7LSmUlJQ4 oqB4INVrWPtsUsT/3cBPAQreZ6kjlnwYvDcISaV+nGesKASCgWYIBGdjkdGZ7Sg20/F9sM4UmoYc B9YukoCgHH3BgQDBkrZPgCvOHcsLxCbajVoIUSdVAfzJ5t328geRgXmy+bHvEAcEzRYA9vszvwaj 5SSuMEA1BQ/YKxJc81wQ1f8OQAzgiZ86kkQdS4pT2VzNBRMI6SXo9RAHm59Ii2efOuKWh+O5CQJc HI5A4TIi6sXw34fptBAFxIHqYlFn01uTAG2w7wLVjLQYCCXJvX5feB7PDwIEg4TCLgHxbaFsoxQ5 WvznE8hohvb2djdP2CBWRTFfTxa/QRiWjWtBZyCJSz0O8mHI6Xw5Bh4LFhHPDLooKgDild2DLD6L yyYpIu5w4H/5l39x0XQMTXz3bLXNd6dX2MBtT4p5rND7edmkWBwhjJuHgUW+iVSjMhx55JG7VLAk 4p2+MCfYNMHn0Qb/0R7xA2wzCBBVClsNJBtp+6yY8PjjjzsJiMPFV5uTcns/JQlGFiQMuy5f8FWp XCEvAkFXftvb3rbb73SAvebsC/B/A9hBaJ8pEeT/lw8YEtrkMqGWboBqhcPAMmUtic2Iw9/xFtW2 b+RDXEg68yJli5gbmIvWwJ4JEsB1sSdI86fSi92bJK1ltMHdd9/tcII4TTYwgxswV7rtG+cVVjvX V1mLPS9hqSxFMdJzjQv4vxU6SAYBgqHfW8EIODWf4cwW4/ADckYYwT6EqWfB73B17BHiI9gJSe2R 4H5o/5kgA1uZyTQo5tzsSejr63OqFXYdbnErMhEmoQ3xrdiExXz8gtIGUQHZfOcmF1wN4sXo8Rnm CLhkWRjiBlETHMVxgpHuMK7tczHaJ8cMFQ23KyplEiJBQvinOgGmRnD/SGyP3ZPQ0tLidprigkZt hiEEN3/5AVf7HLZWo40xWH/2SQKh8xj7ROKRGEgQH+n9cjhhxBL8L5vEQ/JYII9AIoidjUD4H1sN 2wJEAmiD6i+kulu5zn0Zurq6nPrJVmo2awUZVVJVdDTDPkkgAJwX/R3DllQHglWoLRYEhMvzMi7O f6heqGIgpyVMJomqmnqGqgWR4Gyg3SgvjBEgxEF6CN4wfgOhuB9VjQouBP72ZSKpqKhwrnPULGqi EVwlHmZZ21FR7mImMBYb/D7y2mcJxCqIYxii+yJJfALhhfvZkhBRbTCaQXLUJXz2SJ6wE4fCbALe aZ+UFYKcGOxxwS83uem0IxDeTa2iL5RIouAF3qpibxjbk9DQ0ODy8UgZYuMcOXZIdRJXLavbh0LU qZGKmUWB4cE+SyA+J4JT2xkUcS5cq3MLgmO74O2yVGmkCjELJIyfjh9sw6QIrusoKeID3h2knVVw 4WWnLu3L0gOg/3gk8VqSrWBHvIVVaywUwfeWSrbPEogPvu4bZZQb8D8qAFIHdcBPfQf5LV7i72s2 iWRBPa6DkOIi7Ls40JAUs34kDVTuSzB16lQX92JnKfYWNkmQIPYVmyPYz6IRCAiGmgPy4GGCK4NU cEurSD6SiXa5uPIMSX3kByAapAzSg3QUVAjcuvQdKQWBmH2DHeLHYaKe759LwdwgSeIqru+r0NnZ 6cbGfPnZAUlgNMd+CsZYBodXhjPTOVAFYxm1xQBkQp3A+8MmK3agQUBw70JUDDOi4rxV+bQJMZC3 hQMASWOFom3nGoiA9CATgP/saDqTGEEvDqqcqRyWiQrH3ZdtjzAgJgVTIQMgqePDIJ/r95ShXzCB 4KHhUE42zIBI7E+HCOAkIBTGMDsIqQxPCgqV30Ga6667ruAaTmFGXxLiyMaxIGgWHILnnXFYJqnv x4fAQXbSaUjWs8OG7BncawUarHwnY8b2sd/2B+jp6XExKZwf5ORlW4NcGdjelCwFEQjSgsomnEmI RGATFPsDkBZWJwlpQanSq666yqV/EFQir8nKQuYLUVwkaf5P3H8QAoY4Rwr423KD9/MfDALVCe8W xGIqGuoGv5GvZoBRj/qBBNqfYMeOHa5aP0QfdixCsWFPuokLIhDqYnGuOcYqtXrPOeecXfulDZHQ 4yl8TaoGmb8gDsRh6d3Fhri8naTql6VZm40SBUaMqE4QFBwUO8tcwv5e6dHs+y8UtmzZ4saOcY4G EZXSE6UKR62VDyORg5WkzbwJhKAX2yx55+xBtl76xOGDHST5+te/3kWS0dlH2puTLToeBr5NE1YI IGxS/e92ZoofXPTvNYCg4Lr7g6sXgNGhNSBJzSERFhSMUoWDdmTw/5GAJLhQUKAQgwzOgZF65pln On9/FEAcGOggD25AHkw8Yk9ALh4SP/cq6tTduPb8U2PDkiFNfWPnJaVyrr32WlfXal+H7u5uR/D+ 8XBh6TxJMqj3FCSRIAUFCpkQOCGRU8Rqtgehf/PCcEWKoGLZgaAjCYVOfJATRqkCUVFin1CQsMwV e0zMcQFRoZrsy/CnP/3JrScby6ziis9kfIlqr70NSR0JeRMIqgFJe0Slc/FGUaKU+lhIlA996EOj 0vdttkdQCkRF6aOCk0GVAfsEhgKjwE3MWSk4LkjVGI1noyQFijWQPArxW1aCv+nJ5soOWWL8ZBf4 Z7UbFIoPUZIqX/d/3gRCrg2RUwsGJgH0U7w6xE0w1guBkSIsJtKi5vY9m4qQzTbxf+OFt4sC4Dgu UFML9ejtbagd2o7Mmvpnc/gQzHWzRFKkKp+zFe5LCnGZDflA3gTCgMhdgkvg/2ew6J9xxGK1aS14 WAjk4hXKNVILgTCm4BbbuDSWXIKVzBUVEXEDj0YJmgtkMhnn7ufdCrkZhM2HMRpzaKCaWXYCUgXG ZJIl2M7egLwJhEGy55xaTgwMe4LvL3rRi0KvB9FwCVOR3DjoaDLMbOHsGuIZdlhMXFu+ZNmfXblR gNMF7xVOGitJ5M+lfQeCm6XsNyvQgGoG44VIYLSW2rMnM32DNmdBW24ZDLo0jbEvgFymsM4yARAH tgcTwSE8e9IwzSW6btez4CyQVWKPujauvaDNUox0mNEGTw9VjSRQbHWHw4ryJcmVM2Kx2gIWWDU1 zPbvjFSMJEz6FRQoRBIgPfBW4LbkfPQ3v/nNrngcKhTiE3tj2bJlrng1xISEYQ/BaKkvGzVRSBCI xD9T0SCJvRGVK2bX7y/SZvXq1e6Fd5L0IRgl0XScN0GbImzcUfMAsfFCqrDRDTwzFcyCsdlU50Lz 8gomEHaQXXrppY7iOdSTMwhJO6HaIrlJiF7cmURZGRjHPFMzi9q3xYCRQjTapL9kCFDbayT2Muwv EmTx4sWu1BMpRMTGqM0MgZByROIi3rmomFDwtzAI2itmq/hSJQqSznEwduX/XhCBnHHGGe6FBOGE o+uvv97FOCgDg28cSsfDwZmFHPTJNtO4Up65wkhyYSYLtYFkQ4zQXCPe+5OUiAMkBocnweVxWXNW Ikdbk6TKZ9KM4ty4voSNsl3sd5MqBCYhFlO/UMV8qZIr84nzOBZEIP7Rz6SaUBOLfCsKiWG8Qels TWXvte3A25c4JyokqoJF//Pp+/5qe9h4WG8IAq8cjBFmSQFB5g5VO8oJEnT72pZoPts2A3sGYN/N fRwmVSy2EtwPn6sX04ei7WCCgkkpwcaI8mSNFIwU4jHh7HnHdsKW8o3EpKkrxQxajTZob293QU4q +qNK4cZnXKQeoUZnK2lkcwDSY+ijztrx4MGyq7Y12tzvBr5UsQLfvrs4KIVynff9YsvtSAYNyRlj AxXqA/s4gnWfculbXDxlX4RtQ+e1Y2vgwQTBYZRkcMeVIA26xS39iPQlACLxdybi0YKA2CaA8wet JLg71XcXm1Sxavh+8Q6/RO3/GwIZSWCB0LORjhAJgU4WLMomyRYo219gYGDAZQLAtSnagA1qLtpg VncUMoKoeAkhDpDfzmIhIk+7EJl9x6PI9ezRAekhkuCx0/bun5duvxnB0LdgfCVubfZZAikE4XJB WK5lIVggvHZMLjo3C5g0NWJ/Iw6AOWEXITlYFv8yTh2Vwxb8DjGhugYLfFs+l92DVGD+7WQpJDmS PZvjxIiFvlrVR9r1bRazi6NwYp8lkEJ0+yhPSty1RiR45CASiqWhEoS5B6P6m0/AcbRCZ2enkyBW rCOqVFJQivpEgncQ9cp2bdp/EAj/YegbgcD5SW3iu50xibqVLa7ir495wiwQCaGYRIFQ+B5sY58l kGL4vf3vSdoGCeA6lPkn0PnAAw84wzRJH8J+Z+Etu3VfJJAJEyY4aYp7347jiwN/nkFSXMEQV/A/ 5hkpgR1i9c6Yb4gCALkhEtt7EtZ+2HeDYD4Ya+ATix9fyZlAoEAi4xyUQ0PEQagA8v8FmFjGTe4Z i4Zkyd1gAAAgAElEQVSaYfvOc81GxZiEC+6Lqe4TJ050heIuv/xyt904aAMYhCUqAiY9/DrKdg0A 4WCbWEUcGJOdEozEQZpghyQpJB6V6WDgSxXLBYNY8JjlTCB33HGHOyKM6hU0PBoKoeVqBBdqE9ii skDMA9kC6NIsXLDeb1zf9mXjPTUUr0AK4AoHgYNeuqBaZf+Z9IBBBBMY/YAhKixIS7Sedz8vDrvF 6nD599pz4yDsf1+qmA2E3ZIzgeDFQexdfPHFTqRiKJGHRWc5gg2iwfXHNVA86gPIw3e2ZDIgBnfv vfe6RDdK4XBfoenvIw1BLmeLD3czm4Qi2v4Zfftr/hXAWEBy0kuIW6D++MgaRfz8xrWoplwD/hDz wNinPVzH/r0gq5VOsn0z/AcCo2ZZfeNsNqT1yX6LIhL7D2aXF4GgWvzyl7/Ud7/7XadeMTkkq1Hh hMgpAyExkaRFijpAMBi21JhiMkk/oEQMhMa9lpBWCIEUgwtHGdFBrhRmBLLApNRA7NSmtcUPtrW/ QU1NjYuBEEHHq0T+VTb3Nr+hHiENzLZACpO/ZduQLdZkdh+u3aCnydQsDHnL6AhD/Gz5X/49YWub M4GQTkLnfvCDH7iS9+wBQTJQWRFJgtgF6YmkMlAOdrzwwgv15S9/2UkWxCXvHLwC4UD95j3YW+BP UHBxgydERXmtLOeMbchIE/RyONC+qkJlg1Qq5YiDREUKB6ICBf8Py6lCrTLbwyQEUgM7jne/2r6f huK3Y4CGguZiBBKVUhIk1DC1z7/Wh5wJBF2T8v1k7L7nPe9xGbyf//znXXoJ9glA4AjK5sGITgaA x8N0TyYBvTWqTNCejoOE+cFZFNND/Xwg8zrx8qOyvPjMuCEWJCKn1aJO7K9EUlJS4uwEVGYkgEEc onI9SG22GvOLdkF1eIjH7Lg4sPZhwLSF5PbVo7Br4+wO/z3YRs4Egj3BopsrzMr7k7V5xRVXuP++ 9rWv7UoFCE4SOju/cYQ0hIQOikckV2IpZhzEnyTbU23nvQejtbxsi6ht6DFiMeMdewtpYq5gPDbB Rd8fVK7u7m6XmMpcsK5RYPPL3No2bV+q0I4duJrEE+jHpiBO2mMd4oghrI0kanBOBEKHUI9+8Ytf uAdAGKhPfMY2QVqQIk7EGU4BopiPn2v5TuWLN77xja7gA0lupHGwgarQNPhCPEKWx2OE4R++GRS/ ZsCZpwNiMYliwSYjINs1iUPCJMn+ZKx3dHQ4KUnGc1hios+VTb2CWQSr4Wc76StqzvjNCoJbWkq2 e/x7wz4XRCB2OhLpzAwSNQKisEMu4RAguyWsXX311buCORj07EOHq1Jhkc1TDA7JUYwicvkQh1Vt px9WqsY/GiFb+yZxzNEQVMHgajguIChUCJAj376ORti2bZszoF/60pdmDXYyV9gMFhgMQrY5icpC sGCfXRNmaBfCkHJWsUB4P4LJw0ni+/SnP+3sEjsjHS5q54oH72Myyd/ZW2D+bhbLCCMJtwraLcH/ 7SAeM86NWBgr3+G2qBhh9+9rMDAw4Kr1M24kSFhelD9GmAgEYqVJiwWWwZuUIKIM8ii1uyipJkgL VC28WdnSDfYUhHkqzJcOUdiRBmGTFDTasxFH2POCqQzMEYYs0WE7unpfBvqPe5dxmUMmyjjnO+qr HW+XlDnEqc22nhBcsK5YcP2ipE82O4TPoQSSIfuxq0vtbS3q6hyMdg62GD6QspKMFi88TDtbt7vX 8MaG7ot6D147tPmqqqZWtXXjlC7LL0/JN9jMxjCJweewhQoucJSeGselwhDF7Bk8edgluIAtPSUs krwvQGdnp5OIjAk1O5tOz9yHqVf5jp37rEKjVXCMen4UQSRRvXYjkJ6ebj147526Z9nvlOnrUWND rSrdxpVAB4cNagjbsz3QLt31fegH77eBTEatrTvV0tapGQfO10tOO0tTps0YujYeglyfiUPdsTRp O2n2+X4n92Yk/d/3iIX9h4RFkhB1phQShEJwDLB9DmbsY9NYTtBog7Vr1zpHDPGuOPvDOD3qVTBW EoQol2sU4eDYIe5EP2BCYeWGor4ntU2GEQgPuWfZH/TrH39LCw8/SEcvXqS62prnkc4fuH1PDX12 nNB9GPy/JLXrO5+5atc4jSa874OdHvw40NevdRs26y93PaAfbtqgN7z9PZo4ZXrWwdhi2HFpvPx8 sSgvUpDr56PD+v9lm3iQnj3cePvQ43FsWL/NO4jrm3fcxcSbilnsohiwevVqh/R4IeOA8VhV/2Ba ux90DbpofSIJAv+Zl5B5wpVO22ge/lonXVP/ucHrhxFIS/M23XnrL7X4iHk65eRjVFqSAq2jGx3C bHdNKqVHH/un0ukSNYwfrEr47PrNKi0r1SHzZ6usNB16v9++tad0qebOmaHx9XX6+S2367Zf/Vjn v/XdKokwBBmMb1/4Hqk4eyFKlcrFRRgGUZHa4OKfe+65Ls2CEqRwZKQcfYaAWHBiThyVQOT5ox/9 qHOh+1tH8zlbhGej6sA4kEz5ZDF0d3e7VCEgibPF3OdhfUnKyYPrBWFAnMwNxMd326IbVFuj3PVh EBsofHrVEyovy+jkE49S2gVsQFlvoYeQ2f/NoNRFVVtVmk5r/Lg6Nbe0acWKp9TZ1aVx4+o0dVKj ysvLhoshpYYTmfc7P09qatALjz5c9yx/WM3btmjCpOEb+f3ToOyATd/lFyWa46KqUf+H3ZvUVolT t4gLWcIdiITRy5khEAKckSgzqhhudLYVoFLgDeQ6csCQMlbkIIkOj4OAAn8Q5Fvf+laXKEqOnKXe 45aOUpkymYzbp0Ff6BcIGlbZP9gP2/4alOBRRnRwHv1r7GxH1FTmj+0Gdqpy2H3+b1Gu+zhiGUYg G9at1fQpE1RVXaneHgxZpyPZ5UqlMhroH1DKi3ZCGKhRcKSD583W+i3bNEBKc1+/jj5mgbq6erRt 2w4nVdLpUtccKhdtm/3yfAdtAHD+EqUGMpo9e7ruuu8f2tG8dRiBWCqIRbzNUMun6HEUF0vqV08i zuMWw6/pBPJjn4BQICpqBBKFzGcOSmXMFu2HGRB85VwOpNHpp5/u7qU95gdkAvmxc4yI4PwcQQGi U+yNmBYxGjJjIT4STZEKpG80Njbumk/aYwch5WNJyORsRuJZluYeN3/mGMkFooiGMTEWTheAyPEK 2nbaIFOMcgCEEUoUkQwjEDxWNdUVzotFR/5y5wPqH6BT/UNcfUC1tTVa+8wGTZrcpIG+Pi1ZcoLu X/64+vr7tXDhwWpfvVZrVq1VQ8N4VVZWqHlHi0rLyjW+rkYbN/Zrxco1qqos186dHVr4Ao6Eblf7 zg5t3bpdU6ZMUnPzDieF5sydpbkHDqoUFeVlQ8SqXYvFgpqNYeI3Lk0hytiL03WDkxjXZpw0Cftv mJ7r7eX2S9XAKRkTSYHYLBaUNEThM9yTdHCSRr/61a86pMXdjm2D+oEDAOIC+UkqJA4DwsJ9eRYI RtUW5hICfMc73uFUL3LlLrvsMp1wwgmOCEBGEhOxPZB6uHaxj6zQQnBebIz0E2L2kz5zBRsv88H5 Kkg9xkDuH8FXGImfMxec67D1CvYzSEAm+QOGAex9yLjW4MaWvoGMDpo3W6ueeNItSHtHj7Ztb1FN Xa3SKUrft+npZzepo32npk2dqJkzpmrFiidVXlGmqdMmafPWZmVKBtTc0j5Yv6ivX92t7WrevkPd bu9xi1JlaaeSHXXsIm3d3qLerm6VlpQ6tSsMb63ImAWdwhA8zCMSnIDgZ/uebZKTQpTa5hMVL4u6 2/kaIAPf4fikqIAMlvMVBCuaQBIoSMyhPGwnIOZg524gZbBzOIXYbBeK+ZFpjcRCTWLrLPW/ICS+ Iy0uu+wydw/ShO0MFIm76KKLHEEZMWcDI5BCXNk8hz4hOVA/aZNMcsZrzwAfgkdVhNmWwbXw/wtT xQIEklJJapALc828ebMGz/6oLFPpwGzn7qWJtvkzVVZerr6heAJqEAIGI7qqolwnnHi0yhlUdaUO nDVNMP/S0hJVlqc1Z/Y0lZaXqVQZVVVWatasaU5izJg+SdMmN2jg8LmDqkatl7yYZT6DA48imLCJ K4QAgtdHEWEchwVsPzQAQdhOORIAQWgkBEQSxf24F3sAFzE2BsQAUoNQdkgNhiz/QQB4z0jvIYZh baKyIKWQLBAVzoObb77Zbas1FyoF4SCssLynqLkzGzGo/kbNRfA/5gYihlnQN5IjsYEsI4E2Td3m nevDgrDZVOMo6bOba8mPbxw464BdMY76ulonWRgHnH3V6rVav3Grnn56nbZsadbsg2ZqbecGrVy5 Ro0TGtXX26NZs6a7h91//6Oa2NSow488VO3bd2j9+s2aO3em5hx4gKqrq4Y9+KAhYnvemE8pFYKz cS7buImP4irZ1KAggSV9ThIJxaLa7kxUJlQikBDmhHRAGvBblNfHvlscBfUH8L1cEANtcUY9yBYc F/cijax/qHXvete7nDEOpyYHDyK0NsM4dNjv5r4Ozncc+FLfpAPjR4LZjk2/yiUvq7wYJtWSOmvC 5nZ336vX1vMeJkPYwViHNVReVqrUQNrZFNgt/Uo5qZAukabMmOoGMWlSo6qrKlVZUa7+nl6NG1ej Lc+Vqr+v/3knQGbQm7XLkzWsj9m5fRTSh01CtklKCmHPibJl4pAaAOlAYKvcgQENskIkcHMkAWoK +nbQ2DVuaftSTM0IPpO2IAyrEhLVN38ckydPdjWXQUqkUBiCZ0N4s5vC5i3OexRUp+0+5spfd/ts kpd+RhFvNgh1oIR20F0t9cR4Hg44YLKmT5/srhuwYGAmo8VHHjpskCX4+89ZMtTqoCds/pxZzhNW UsJegOefMSirBj+UlJaozO0pGYpERgwmV69RtsUJe0bUc4J9iNNlw+6x73w2NQL1yM8vsv9w8SJJ QASIBEThGtuzAnEZJ/WzkrkO/d1SQuzsxeD4oj6nhgKXSa4Njo+XVVs0Fcvmya+hFZyLMAjbd85Y iA3hsIF5oHaZFy8ISZhmGG7s1pJpNy2tbfrbfX9V/bgUzqvwi4aM+sFW7b8BKd0ipXoDoXJ/4EMX u5+Gfh8oV6Z3nOtkX19GJWVNOvbYRZESJJvnyeeEuRrWYW35/4WpWUm9YD738++xrF8WG0IIqhBw Rl4ExOxe82QB5k1yjhUvpcb2qyQNCCZRCVM5uMUtw9mfO/qKLQTHB6lt8xl9D3q7gnadvTN2CB+j nS3OtMPcYYsgJYP3xq1F1P/hBDL0J1youmajTj6+VuqLQ7AA8qe6pca7pfTuSYuZFE2lVap+lQSJ pHu6tONYeIW27+zTn+4xFSxaywrj1L7Yte9RdkMY9/fvCZsw//44tSkp+M9EUsDpMaiN68Y5IEB+ K/VvYwgjhLB+RfU1+MxMjOPD77//PWiDBNuE+Al0osLZCWW2bZYYS9IC4UZQVvEdgmPuIJCweQvD lyhitz6HSJBdokCV6VKNryyVepEU7jZffOy6bngDJVJNRkp7ef9DtzzX2aS/bTxSJ81crvFlLV5z KSmdkbowAEvU2z9khEU8wh9c2G9xCBxnTIdBlIoWdV0Ud4qyUfw+MWaQBrUp7oi64DjC8o+yjS9K UmQbbybHusYgsM+AeGHTwO3xnKESkfrCO5F80mvwtmWrL8ZnC5bCWLiedpEkEJu/BTdqPHHqsH2P 9GLtZiiDxM/fHnJRxl3iDO3eaqlsOD219dXpO/e/Tp39ab3swDuD3Zb6KoeeMZTJ6Cf5Dnv28xMW Jh2iIAwh4iRALogQ1rdge2HPCENK7ARUh+A5fEnay0bsdk1QVQxrO0oVBHIxgH11zwdiLmy0gzBA dFQuO3QnbGNVmBaAtEQS8Zu5e7FF7JyQQiRnjIplH8KaCSOMwe/NfWmtbK1XQ0WX5ldPVqpqHRqo MpmUtnfX66v3XqDf/+MkXfWaz6iqpDvQRJnUPXW4dAq3zYdNWJR+HDb4sM9hqkQ2SHJdHOfLdg/v SA9TTaKui+tHlIoYp3NnM7xTCb1z/vMAkyA+oA4Rc8F+ALGJa0AkqEjEfpAipLLEtUub2C3YZEge 3ORIHmwQXOVWZ81XP6P6H2fAh6TY+vbEsD88BPYJJaOdGek7T83Xdx4/Uosmb9TVL9qq+ppVGki3 6OnWGbrmnjfq5oeW6l9eeIuOnfro8KZ4XneT1NX0fNtD6pz5AUIDId6AohA9auCFGG9hKkgSzh3V VpxqE8ftwvqbrX9hfYxSvYLvcWMOaz9uLuD8xFSQGKhHOCesCDjbd1GTrDxU3FpZPQGrKsNvSB6c HLybPZZNLQ5jADaucCPdxjtsXlLqS2XU3l+iupIBkQji0lGU0e82zNA1Dx+tZ7qqtLG3XEufPUQn l2/Vsi3jdNPDS7Vs7Qt05KQ1uuioW1Shbq9tVKsJUusCKRNMoxiKivj9CfQzKEWy6ZRR6kKYbZDL 9zg9PcrwB4KuzmzP9McdNbZsnD4bcwj7nIoZq/2fjQjNmQDSIyWogmOp6sR5UJXMfQ3xkPpCUYio /DrawtZAckAgqGoWXfd3jCaxO+NwKHCOVWhfnJrUVdKvG1Yu0u3PzNKSWav05jkrVFOa0ar2Wn3u 78c64hhISdt7y/TAtib9beuZumn1IdrcVadp1S368Mu+rnnjB3NnMMSlUqlnkrRjodTbEGL8W5hy 907h+SBhLh+vkT8hSYzUpP8XC7KpiPm0l00NCj4n7p5Mwr7YtSQXkm3sSyOQGeQ2hwQ2F9ze3MEQ D6Whguk1QUCNoh2AsqcQm19iKqqQRJQjIvi7q1ITmKLdGsQ/8nR3pX7yzGx94/FFerajSsu3N2py bavOnLZO69pr9c+WRncd0Jsp0S3rZmt7Z7U2d1WrPJXRKw5YoxdP2qx078TBi/rqpM4pUtdUaSDt h+o969zi6rsbI3Zg6BiMfmhqQnUOB5DYYhaAH+CDsHIB1LSRqJQTUdXEI5SM1NtXqqklGX3kiLv0 j5ZG/X7dYbpjwxE6buJmlZT2qSzdK/UPFg4jqr6iuWmXnFhUv02XHf6YqrYfI6X6h+wOjyhSQZvG sxtMjows0x6DMYiE3bJ5DT8NTckgObi2XfPnPeHwtLWvTLXltbrpqYO1uetk1ZZ3qK13yKe7K4SS USqT0uzqNn1g0X1aUMvJQNgSbJiCKAZCVCrvqZ5Eyc/ROgZjUBwICRQO6WP2g3ldM4OBu8rUgDr7 2rW2pV9P7pjrfhvmsR4K/I0v69H7jrhfS6etGzTo2eewY7syXR3IUqVqx6mEah0uvT4QgDRdeOj5 YwJkDPYWhG+YirshldGiCZtUW9qvrf3p3bC3TBlNKO/W3PE7dNaMp1WT6ddAe7sGNm9UpqtTmYF+ l2jSurVd5VVlqmlqVFlNrVIUdXDGkhGLR6hjFDIGewkiKysOulh3j4WkU9KpU9br9XOf0I0rF6g9 oATVpfv0zsP+rlOnP6sJ/S3q2/KcMs3bd3mlSGpf0d2obz+3VAsmbtYxOx7WYeM3qmR8g0pqxylV Ve1FKwel0Rh9jMHegsh09ziknJDu00cX/VXTa9r0pUeO0YZe5MYg7Ogt172bpunCpjtVsmWtBkg8 89rl9OtftrxYd/SerHu3d2tnRZ8OK79NA52dGkg/p1RltQbKx0sZy0UaI48xGE1GesCDFfw/09Gu ge1bVd/Xo0saN+jAI9foqseW6rGOieovyTgv1l2bp+n7T8zVu5qeVJUX56P1db31+n3zEVrXX6rW tgq9YMI0t0cEsyPT169Me5sy3TuV6p22S4LtKUMdP7gVOYgC4i9sOw3bc7C3gZQNtqQSlSaAxnHV RKaJJ3D6F5FrijHkehpvrkDlFF4UVyAASIlS0kjYxmv76ol023UA/SL1pJDTxkiAZP2o9khbxYBh q4xm008qrcjZL1UfHzMDyvT0OsLIdLRpoK2VQkfu+urWVp1RuklNMzfo2s0v0fL2edrYO05tA2W6 acuJOrfhL5qV3umpbH16uGOW/tldr+0D/SqngEBlo3YOlKt6KJ2EPvT0ZVRRzv53gjoD6s+h4HEh QPSV4gTUoQLYnMSLgJY9/y1veYvLQi02gbDRiRwkOxQ0FwDZOJabk74gEvoMInLcxEc+8hEXYf7w hz/sTgG76qqrcm4/V/jtb3/rKqz88Ic/dEG7z33ucy515KabbnJEStbtz372M3cNY4ZgTzzxRFdS KC5ukg0ocXTllVe6whIjQiCV1dXasaHT7eZjEjs7MurZtFGpLVul/r5d3iXfRkgPZHR81Wq1NQ1o TsVm3ddymDb11am+dKc6BkDynV6UI6X13RPUIWImGZWVl+q5vnpt6KvT3LLWQYGRktq6pLpx9c7F 3NPNGdZ9e4RjE3mlKsjHP/5x952Tsr74xS/quuuuc0c7ALZxqZhAagSHEoHE1KyCm+YC1L2iJA/9 p64VtbTYtkuqhpX3oRwQ0m9PzGOvt/EJPKLYA1m2Vvmf4t1UiuSMGOaY/Rxw/2KcF29FIooFw2Zr fP0ErV3RMVShJK1MZ0atT6/X+Ip4kZxWRkdWbNYB6bv1jqbbtHNgkEMdVLZjmHrUm0mpfaBS8ybW qiYtPbSxXU91TdGq3pmaU/6oi51Agts602qYPclxlta2dmVSJaqs3jMFnP2zT2zjDWqCpTQAftUM PwfKP4Ay6tQkP0vX0rSRACA5HNCQy9IkLAHTnhOmHiE1QLpPfepT7pBVO1rZ7iE7+NJLL3XXWrt+ IqC/jz2Y/VriPY/fuNZ+8/fDR0l4iPPss8/eVdeKsbEpirHyOxFz7rVCEz5kG3vw/5GAYQTS0DRZ rW0d6ursVllZqdK10/XQ9nWa0ZQO3TS7SzLwZSCjKnWptz+lCg1S8LrummFXdqdKtK2vQUsPbtAR 06v1iT8+rTm1aTX3TtDqrvFulyGbCJ/pqNTC+nqVpUu1fv1zqqysUt245xF3bwKq0Pvf/35X9QOO x1Fyl1xyidP1b7jhBlcBhP0IcGvOTIGbW+YpdgBHY1Odgxwkymd+4AMf0I033ujUEZCHHCQqk3z2 s5916hYShROF4bBcT52qoISBAyPVKBb38pe/3KWSA4Y03AvHRnpQxodUcvpMW1RXvP32251Kdv75 5zuuzvmRt9xyi7ue8qRUbEQScEwzY+cFkqPWoc6hHjFW9nIEgXFzAvJPf/pTNz+or1/5ylfc7+99 73udVIF4sJMuuOACvfvd73ZjIZHxJz/5if785z+7/rMnn74wnxAKNg3HkTOf5GCRv4Xqm2sFx5wI ZOKUqers7NH6Dc+5WleNTdP1lQeWal3rgkEiGEakQ5lSGWlqXZmOmFytfjZGdfY5JHeUPXQZ1/C5 qiqtzTV1ettB4zR3UpUOmVqr8ZkO3d99hpZ3nT64A627XTN779KJddXq7x/Qhk1b1DR5mqqqd68B uzfAjlOjJiwEAjKCoHBEFo7jyCAidGykAoiO9Ln11ltdTVw+Y7zC1SEkKx3KUWYUbOCoOoiNtpct W+YqJi5ZssRVOAQpwhAALgxhQWikep911lnuergyXBsJhePBimPzXBAPpKT/qI9kz6KmUZWRZ6DD L1++XB/84Afdngt+p23Gfs0117jfkFbYFiAyBPOFL3zBbXzygTXFBuI+nofjgLpcGOeMC0YDgqPa ohbSP/ZzoNoy/nPOOcdJodtuu83NBXYW0vF73/ues1koncpYUSexcSyjd0QIBC5dUVWr1aue0exZ 0zVj5nQ1/v0J/WbnFPWkoiuJT8iUqmZSgw6dUquu5i79c0uHtnX0aWtXnzqH9pXXZDJ6/5IDVbOt U3MmVGpidVqvmt+g3z/ar2XrGjS+tkzNHf2a3r5Np86sUVlFuTZv2a5tze1a+pITR9zzkguwiCwm CI8hTDYqhMPxc+i/LDDXXH/99a5UJwjKOfEYoCwwnJbxWB0nTgimBCgc8Q1veIPjktwD0oLUF198 sfPMhJ2BAfB8uDpp4hzLDSLxDDg0SGwQzFYl4fOTn/ykIxIKH7zpTW9yHicQDUT+4x//6Dg6xA2B GDAOxgORIAmRdBj/lAJFCsUBniykLAgOIRuRUQ3SgFpcf/jDH5x0hUCYK8qcUhaV//AiIoW49xOf +ISrbMI80ScYzYgRSHlFlY4+4VQt+/X3NG/+LLW1d+qkGWk9tnaVSmcf4zxK2j0xxH1ev71LW5q7 NHNchZYeNkHzptbor0+36oblm/Tszh6NG8iwv1DTGis0tb5Cff0ZHT9rnO5Z26odvf3q6S5Rc0en Ttn5kOobpuixx1appaVN/QNpHbLgSI02QOTDeW3nGlwZ1QTJQiVEXK12yAzvuF9ZcKSDEXucSxP1 hhKfVDeEi6OvQ0hhxy2jSiFxUHPgyqhMGL94dHgHgcLuAenh+HaeJJ9BNFQ5nj9v3jynAkG8BlzL M8wmQx1aunSpO6MSKWKF3fIFmACqImog6p/tLLSCDNhaeMaQthC32S6ogKh6th4jQiAM/rCFR+nW X/xQTz2zUR1tXRpXP05nVP9TsxefovT4CaEE4jJUeB/SpSpKU6qqSKuWgg/8lpK6MtKjz3XobUdP UXlpysVLBvozqk2XqiMjtfdJ87cv1ysXN7pKjWUVFXr00ZU66oTTVDuuuIMuljFv3iwWDgThWGvq 3cK54WRIGLg2ejrXYOznIglZcLgiSA6HxtMFUqBrhwFITco3kgAERqfH7sGLFAaoedYf7oVgIXSz XcrLyx1OBE+GCh75jJrIb6iWhRSpBiAwmArqGPWB/XrEMCQkI8+h31aswQAiKbamsZvPb/K0A/TC k1+mh+65TUcuOkwdba2aP7teX735p3pk/PHqLUHED0XwAtth7WOa4w2o5ZQuUV9KKstIJ82s06KZ dTpkUrU27+zV5vZe/W1tq/6+vk0TK0tV2bpWZ0/aqnFV9cpUV6llxw6ptFpHHnO8SkMO3xktAPUx ETYAAAdISURBVAHAzVAZ8BRR8NnOzTN1CFUGhEV9QRKEVSxxu9cCLljaQY1AzyYAdvnll7sYAxze lz7BqiEgCeqP71kr5njXr18/zHMEVwex84nhBIH7mSvsDNztSDF/QxP/YxvxG1IZlc0KNKD2FirB grAb5pWVV+ikl52uVf94xHHymTOnOL36/Lm96nrmYT1Ycbi6SiuelyNWoAy3bkOlmnf2qr4ire3d /eotkaZWlWnpvBpdcvw0zZlUo/aePv11TaseWdeqHZ19OufQevVs266WlSu0sKnSnSVSXlmuxx9f pZe+6vWaOWe+RjtYDSuMWFQBKnYgTYzzYkRjSHK8ALo9niIWFe8M201BaDtEB8kDgsAdMfJBcNQc K2VjW1d9wM5BUlB3F2LEYMVgx1bgefmcRBUF/f39zsOFdMMuAimxtVB1GGOhcRb6itMCw/+b3/ym 87ShPvJcpBvPwdbi+YwRomTczDlMynYVFgtCRzN52gy99sJ36oYvXOWQtbG+ThPrK/XO2jZ997F7 9eeqF6mntGwXccDLpleltbWlR9UVpVoyv0GpvgE929ytlxzcqDMXNmlnd7/++MQ2dfcP6L6VzTp4 Zp3OWjhBXWsf0aPP3qG508vU1tyqiuoaPfLISh268Dgdd8rL9qr0YLGDyBU8w4N3xP5rX/tahzgY u1a2xw7fBPkxolGTrr76ameQIh34nc8YyYsXL3bIzHV4kHDHYhxjuIPoEBMIiZfMR0KTYF//+tcd YdjRaqgmqHoYtKh49NPUFf9zEMJ+L/d+M2KGu/Ms+sV4r7jiCtd/m7egqmNljPzvdk2wP6hSOAcg ELxzjIdxMk8f+9jHHFPhefThfe97364dpkgTGEkxGUJ4siKV3ecfqlee/Qb95iff1uEL5rhjEdIl Gb1ufoW6n7hLy2uOU2dplZMjRLzrq8u0ibKP/SkdN71Opy9oUktPv8ZXptXdN6C7nm3Tg+vbNKu+ Um896QBNrivVppX3a+WDyzRhXInad7SoacpE3Xvvw6obP1GnnXuBauv2buwDZLRjyQzg4rhDIRJT lbAtSOl4xSte4RAGgxdjnPiBxUGIi+AGhYBwCbOocD9UIYD/r732Wqc2IDEwrPHyoGJYOU1Uq+C2 UtqGcxNBh1CQYEgfpBbX27l9qH8800qc8izcrYZMICHqoTEAG9eVV17p3g1Aak6zgmsTz+E7Y/TV PirB8wzGxzMx4pkPq54I0WJbWTyHOcYdzrzRX9rBmweh4A5GMkOEjAlHAs9EyjAGcx9DPPSB33lW sSCSPafTZTrulCVqbWnWHb//mY5cdLhqaio1vqJMFy/o1PzVt+r2ngXaUD5Nvelqd3jnaw5v0rxJ 1Zo7tUZ9ymhW/eDicAjPGYc06pXzGzXQ06X2LRu0/Dd/0o6tT6mpoVol6TJVTmzUg/c/prLyOr3p 4vdqwsTJ2tsAx+blA4t32mmn7XYtagAE4gPpHQaDle4nuUBeGICoSBFeBiBmksUGuUE6XmFgnia/ XTxePoCYwXHV1tY6Ig1rL+55SEA/FwoXLS8DGI7PdGjvvPPO260/EB6vqPkKtgNg4xUTYvWXispK LXn1eW6X4W2//rEWLpynpgnj1dvZodcdO1mLVz+ou3c8qRVd03R87cG67MUzNXOCnUWY0sBQ0bCB /j71tuzQ+mfWaN2aldq8bpXqx1do+tQGVVdWaGdXt+6972GVVzbqgre/RwfMzm3D/hiMwUhBVgW/ orJKS848z51T/qsf3aiW5hbNnDVdzz67SVMmNersSRlV1rSpefuftezm21RZXaf6xkmqqa1TL+dj 79iu1uatKlWvmiaNd4Wrjz7yIG1vblF7R7eeXb9Jjz76pA465Aid+fq3alKC89DHYO9AfX29UwX9 SiT7OySygMsrKnX0CadowqTJuvUXP3AepmlTmlRdXamSdKna23aqtrZCcw6c4ty7ba3btHPzOtU3 jFN1g9Q4lGi4bt1zamyqVxcpD5mMVq9ao+2tPXrpGefrhSe9VOPGNwzfTTgGowoWLlzonAbmfPj/ AIldRHiT5h6yQI0T3q2/3PZr3X/PMq3buEVTp0zQ3LmznUdr/Lhard+wWf39fers7NLhh89VW9tO rd7SrNraak2c1Kiu7h7dvuw+7Wjp0MQpM/X6t12geYctHNWxjjF43v4qRkr6vgQ5Y2XjxMk647wL dcJLX6l7lv1Bjz54n/7xq7+oIi1NmTJBEyc3uSPXaupq9OSTz6p95053ou3jj63Utu1tqqwdrznz DtFp5y11hFEV3IM+BmMwiiAvts2ptBMnT9OZr7tILz39bK1f+5TWPrlKz6xZpTXPrFFnR6cLqw/u iyhV44SJOvSoU3Xg3IM148C5zs6gjTEYg9EOhWFpKuViFQcvWKS5h7xAPT1d6ubMPLxXz1+isrJy Z+wTpd8TW2fHYAyKBUVj40iEqnTtqNm3MQZjUAwY03PGYAxiYIxAxmAMFA3/B1Sr+2+TgdHIAAAA AElFTkSuQmCC