FWC.bathy_southeast_us_arc -105335.295700 1720630.694600 -106078.219100 1603420.613900 1 Server=fwc-spdb2; Service=sde:sqlserver:fwc-spdb2; Database=GIS; User=FWC; Version=sde.DEFAULT ArcSDE Connection 002 Projected GCS_NAD_1983_2011 Linear Unit: Meter (1.000000) NAD_1983_2011_Florida_GDL_Albers <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS[&quot;NAD_1983_2011_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_NAD_1983_2011&quot;,DATUM[&quot;D_NAD_1983_2011&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,6439]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102967</WKID><LatestWKID>6439</LatestWKID></ProjectedCoordinateSystem> ChangePrivileges C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bat_LTM_survey_summary;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.BigBendFauna_SppCodes;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.BigBendFauna_SppCount;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.BreedingBirdAtlas_BirdActivities;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.BreedingBirdAtlas_BirdObservations;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.BreedingBirdAtlas_Summary;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.BuckRegistryMapping;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_OCTO_RawData_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_OCTO_Summaries_Density_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_OCTO_Summaries_Mean_Height_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_Percent_Cover_Stony_Coral_Species_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_Percent_Cover_Taxa_Groups_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_SCOR_RawData_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_SCOR_Summaries_Condition_Counts_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_SCOR_Summaries_Counts_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_SCOR_Summaries_Density_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_SCOR_Summaries_LTA_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.CREMP_Temperature_Table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FLKeys_Nearshore_Surveys;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FLKeys_NearshoreSurveys_Fish;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FLKeys_NearshoreSurveys_Lobster;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FLKeys_NearshoreSurveys_MotileInverts;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FLKeys_NearshoreSurveys_SAV;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FLKeys_NearshoreSurveys_SessileInverts;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.MarshBirds_Habitat;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.MiddleKeys_SeineSurveys_Samples;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_Ground_Photos_point__ATTACH;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_Response_Tactics_Index_fl_poly__ATTACH;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_UAV_Photos_point__ATTACH;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.SandhillBird_Habitat;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_CommunityFishData;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFF_CatchRates;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFF_lengthWtTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFF_LenRelWtTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFF_MeanLengthWtTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFF_PopupTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_AreasOfInterestTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_CountyStatsTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_DataDownloadTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_HouseStatsTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_PlantControlTrends;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_SenateStatsTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_WMDStatsTable;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_LakeAvgAllYears;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_LTM_plantData;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_RecordFish_table;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_YearAvgAllLakes;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WMA_Amenities;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WMA_Popups;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_WaterbodyInfo;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bathymetry_contours_lakes_fl_1ft_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bathymetry_flash_usgs_florida_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bathymetry_southeast_us_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_algae_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_artificial_benthic_se_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_ArtificialReef_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_artificialreef_permit_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_banks_keys_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_coral_hardbottom_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_CoralReefEvalMontProj_FL_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_oysters_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_seagrass_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_UnifiedFloridaReefTract_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_WFLShelf_NOVA_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.benthic_wormreefs_eastcoastfl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_anchorages_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_areas_to_avoid_sw_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_atons_uscg_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_Boat_Ramps_FL_Public_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_boat_ramps_freshwater_fwc_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_Derelict_Vessels_public_photo_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_icw_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_marina_docking_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_restricted_areas_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_vesselcorridors_fl_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.boating_waterways_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_counties24k_fl_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_counties24k_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_counties24k_shore40k_wtr_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_fwc_regions_24k_wtr_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_fwc_regions_40k_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_fwc_regions_500k_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_FWC_regions_borders_only;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_gulf_atlantic_bndry_keys_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.bounds_gulf_atlantic_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.facilities_FWC_facilities_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.facilities_Seabird_Rehabilitators_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FDM_FishingTripTicket_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_apalachicola_micro;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_Cedar_Key_micros;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_Charlotte_Harbor_micros;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_chassahowitzka_micro;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_estero_micro;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_Indian_River_Tequesta_micro;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_Jacksonvile_micros;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_statewide_grid;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.FIM_tampabay_micro;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_BlackBearRange_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_BlackBearRange_NorthAmerica_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_Critical_Wildlife_Areas_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_Critical_Wildlife_Areas_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_CriticalWildlifeHabitat_USFWS_NMFS_fl_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_CriticalWildlifeHabitat_USFWS_NMFS_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_FreshFishRanges_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_FreshwaterFishAttractors_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_Gulf_Sturgeon_PotentialOccurrence_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_Loggerhead_InWater_CritHab_NMFS_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_Loggerhead_OnShore_CritHab_USFWS_fl_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_panama_crayfish_range;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_panther_habitat_preserve_plan;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_panther_habitat_zones;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_ReddishEgret_Foraging_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_Sawfish_PotentialOccurrence_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_habitat_scrub_jay_habitat_1992_1993;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_AqPlntCntrlPermits_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_BearMgtUnits_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_bird_sanctuaries_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_closed_to_traps_pennekamp_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_ConservationLands_FNAI_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_Coral_Reef_Protection_Areas_BNP_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_DeerMgtUnits_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_fish_mgt_areas_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_gear_restricted_area_boca_grande_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_ManateeProtectionZones_state_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_manateezones_fl_usfws_poly_RED;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_pompano_endorsement_zone_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_Redfish_Management_Regions_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_rightwhale_mandshipreport_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_seatrout_reg_areas_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_apalachicola_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_bigbend_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_citruscounty_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_ne_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_sw_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_taylorcounty_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_shrimpclose_tortugas_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_special_permit_zone_south_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_spinylobster_sanctuary_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_weakfish_mgt_area_nassau_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_western_dry_rocks_closure_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_wildlife_mgt_areas_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_WildlifeControlOperators_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_mgt_WildlifeMgtArea_Entrances_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Acropora_Locations_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_AlligatorNestLocations_2001_2010_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_AmericanOystercatcher_BreedPairSurveys_2001_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_bat_longterm_monitoring_10kmGrid_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_bat_longterm_monitoring_5kmGrid_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BeachNestingBirds_2005_2010_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BigBendFauna_2009_10_Surveys_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Black_Bear_Calls_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_black_bear_captures_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Black_bear_HuntMortality_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_black_bear_mortality_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_black_bear_relocation_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_black_bear_roadkill;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_black_bear_telemetry;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Black_bear_telemetry_CampBlanding_2013;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BlackBear_CallsRecent_forWebApp;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BlackBear_Dens_OcalaNatForest_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BlackBear_handledHistorical_forWebApp;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BlackBear_HandledRecent_forWebApp;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BlackCreekCrayfish_Surveys_1976_2018_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BlackRailSurveys_198903_198907_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_bog_frog;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BonnettedBatHouses_BabcockWebbWMA_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BreedingBirdAtlas_Blocks_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BreedingBirdAtlas_Quads_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_BrownPelican_Surveys_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_burrowing_owl_survey_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_coyote_incidents_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_eagle_nesting;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_eagle_nesting_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_ElementalOccurrence_FNAI_fl_poly_RED;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FIM_Inshore_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_fish_rare_imperiled_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_fish_rare_imperiled_fl_point_RED;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_fish_rare_imperiled_waters_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FishKillHotline_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FishSpeciesDist_Seasonal_TampaBay_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FishStockEfforts_FL_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FishStockingWaterbodies_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_fl_wood_stork_foraging_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_fl_wood_stork_nesting_colonies_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_flatwoods_salamander_01to2005;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FLKeys_NearshoreSurveys_2002_2007_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FoxSquirrel_Survey_2011_2012_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FreshwaterFishing_TopSpots_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_FreshwaterFishStockingLocations_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_gopher_frog_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_GopherTortoise_RecipSites_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_GullBilledTern_2012_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_HerpAtlas_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_indigo_snake_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_LeastTernColony_2010_GulfIsNatShore_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_LkWalesArthropods_1964_2011_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_MarshBird_Surveys_2010_2012_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_MiddleKeys_SeineSurveys_SampleLocs;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Muskrat_Survey_2008_2009_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_painted_bunting_nonrandom_survey_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_painted_bunting_random_survey_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_panther_depredation_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_panther_human_interaction_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_panther_mortality;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_panther_roadkill;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_panther_telemetry;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_PCCrayfish_Surveys_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_pine_barrens_treefrog;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_QueenConch_Survey_FLKeys_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_red_cockaded_woodpecker;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_sand_skink;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_SandhillBirds_Surveys_2008_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_scrub_jay_1992_1993;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_sea_turtle_nest_density;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_sea_turtle_nest_occurrence;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_sea_turtle_stranding;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_ShermanShrew_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Shorebirds_2010_GulfIsNatShore_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Shorebirds_FSD_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Shorebirds_USFWS_2006_NWFL_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Skunk_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_SnailKite_Nests_1987_2001_FL_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_snowy_plover_nests_2002to2006;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_Species_Obs_ETDM_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_StripedNewt_FL_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_SuwanneeCooter_2014_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_SwallowTailedKite_ARCI_2010_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_terrapin_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_terrapin_nests_BigBend_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_WadingBirdColonies_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_wildlife_obs_listed_species_pt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.fw_species_wildlife_observations_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.HAB_CurrentStatus;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.HAB_DEP_Dashboard_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.HAB_historical_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.HAB_recent_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.Hydro_WaterbodyNames_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.iTAG_project_locations;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.landcov_CoopLandCover_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.landcov_Fire_Occurrence_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.manatee_mortality_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.manatee_synoptic_survey;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.manatee_synoptic_survey_route;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_coast_guard_sectors;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_coast_guard_stations_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_EPA_USCG_MOA_Line_Inland_Waters_SEUS;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_EPA_USCG_MOA_Line_Roads_SEUS;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_portauthority_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_Ground_Photos_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_Response_Tactics_Boom_fl_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_Response_Tactics_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_Response_Tactics_Index_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.oilspill_TIPS_UAV_Photos_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.place_beach_names_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.place_FishingPiers_fl_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.place_Inlets_passes_fl_point;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.place_MRRPBinLocations;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoreline_fl_12k_2004_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoreline_fl_12k_2004_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoreline_fl_40k_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoreline_fl_40k_nowater_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoremapper_AmerOysterCrRoostingSites_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoremapper_IBNB_BreedingSites_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoremapper_IBNB_BreedingSiteTiers_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.shoremapper_SnPloverCrBroodRearingSites_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.transport_Bear_Crossing_Signs_pnt;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_1953_59;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_1960_69;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_1970_79;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_1980_89;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_1990_99;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_2000_2006;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_Karenia_brevis_2007_2014;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_LTBMP_survey;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_wma_boundaries_amenities;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.v_wma_entrance_amenities;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.wetland_LakeVeg_CentralFL_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.wetland_LivingShorlineSuitability_TampaBay_arc;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.wetland_mangrove_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.wetland_salt_marsh_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.wetland_tidal_flat_fl_poly;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFF_Waterbodies;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_EFFTransects;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_Counties;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_HouseDistrict_bounds;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_IPHT_SenateDistrict_bounds;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_Lakes_Bathymetry;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_LTM_lakesContours_simplified;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_LTM_pointIntercepts;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_LTM_waterbodies;C:\Users\christi.santi\dataManagementPro\fwc_connections\SPGP1.GIS.FWC.sde\FWC.WHOML_VIRTUALTOURS_FL_PNT FWC_GIS_User "Grant view privileges" "Do not change edit privileges" 20250828 13060000 20250828 13060000 1.0 150000000 5000 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzUvWmTJEdyJfj89rjzqqy7gMJNcLqbvRyyucsdkRWKzO5P3g8r +32G90x3s9lsNIAGCqjKrMorTr995amaeXhcmVlAFYA1SKIyI/wwM3dTU336VNVP0nmNW7X2Yc7O oxzHQV3Xzb+v03adk+clqqpCFAUr12961jqnfY313297fPvY9jmr16iQpjnKsoJrP0MN13XhOK78 67qAI/+6G9dZv2de13iR+Ki88IZZqtFFjv2gROBqf3b1eb3/ekNgUVzAdXxUdYXQ7cJzfBRFiWff PMM//PO/IvQDxL6PssoRRSHiThdZlmExn+Ph43fw4INPMXcC1HDgcswAPKfiTTAtHFSuj8Dz4LJP eY7q5SuUZQn/zhG6cY2ef466LtaejQO39mUOObeeE8J3A5R1AVRA4MXyOc9w4QFOjdopkZULlMjg OyEcjqNKUdU58rREMs9w8vwUeZbj3adPEXZ8wK+wyCbwHA/9eB8VSvD2SZrBc33ArZCWc6CqEbgx OuEArstnVKGqa5R1DpcjlufGcx387n/+AV/84WsMh0NEnQiFG2Owd4SrVydIkhRJMsfo4I4c6/gB yqqS+YkHIzz+6GdyLdvKWm4Nn7fAd2tpBSxKIC/1eu0VVVRAxUeFn0Zj/9jP2zb/9ody+vgy6Y+8 ZHbUznL4dc3P+TI5OuH8txEEdnHxFed1Vu+wLkjs/TyP5zsitNqLf5sA2Cbw+FlZFnJfe12OR6/t bdzf9rX9ymwKMwdBwOkr5Bq+7zXHsJ91xXtWqPKiNU+2n/rDMdmrpbWD0vFvfklrCkUVEqtzte1Q HQcFU1bNUdSJCCcKq8gb6HOiNNCjwd64ro/z8zOgLjEaDWUKOG8XFxfIyxoHboyZE8PxtK8cCd83 +875ToWiLFGlKYqLC3gU6Pv7CDoRel6GrnclglAWb+u5VVUpwsNzPQROjNDtUNrDqVxkzgJpNZGb UZDlmKOoMvOM9PyizuAgR2Y2kefPTjC+HCOMQriBi263h8JJUZQZXM/FdDaW+/fioQgivw5FEC6q S7ke56HjD9HxBkjKKWb5WJ6rVwci5Ck2eR/HU2H78OEDOK6D2WyGs7NXePHsa7lOGMU4Oz3FYjpB f7SHsijQ6w/w7fNv8OCd94AP/xxwlu8gr/Z9hFXdEnrrwqqs9Oen1Cg8X6f5N2s4urjZuFO9OjnF dDJDp9tBnheyi/J3vgR8YEVeYj6bodvryKmjgwNEcWSuLXdpCYTlte395VMRihyJ/i3ailOhLCp4 kT7cbZrTerMCZjIe4+sv/oQgCBGEAcqilP7NpnO8/8mHcv31cfNPRwTxNqGlf/M8Ci1qD2XpNMJP hKoLeNQEmnN17Ov9s1/WBbcaHl+jKisZv2pruiDsqS4qhE4Nz2hX28arM8v/qIGk8ldeJSKc6jqD 63iqHbCTtYs0y/Dsq2eo4eGj9/4M3bv3RLMZ+iUil4I5wCzLMa99FF4sWmMzSfKjGieyDNVsBiSJ CLlwfw9OJ5b79txLdLxEBJOIaZlaFVqrTSQksioxo6BWVUh/eJ6Oywp9Mzet8VNgfPGHrzAYDkWT Obg7ghe6SDBBWWUoKCzNs/S8CNxf+ZidykNV8vMQRZHKPXK/gFfmKCq+ezWnCr6nffIcF2lZ4uJk gnt372NvfygCl5pd6PcxLn1ktYc0TeG7NZI0R6fbg+t5SJMFPvrl36B2Pb4sK6Pf8lhv3cqaglt/ KLDajX9Tu/qpNPbH/rxO89tCoy0k1pvVqNIkk53r7PRMdpy4G8sLzYVLgbZYJPADH4vZHJcXY7z/ kYM79++uvZhGu3A2BYXVPlp31v/zuYo6WzXXal/zOtOOLwl3zGSRIM9zXLy6wN7BHs5fneO9j98X MbDtfP1z1dxaamgqhChUKLDygm87X+ilkFod03YhqxqQ0fi4NNMEp1/+AfPJJYajPfRG+3BcD2Gn i4pmCkqkXolp4CGOI/h+0Ix11WQtkVRcpLmYVvyhgBJTy6HZuRyHmC2LDH4Q4OF776DwA1BxGAY8 ysGsAPLApU6JkHNT0t5IAWpRizkcmn1VDTeK4PW68Pf3AY9CsQDSC/SiBbouNeRSFju1OzGxxDTh Mk+bOS8pNdwETu2JxmNmDIHTlb7QJKMg1o1vc577gz7CMBSN+vB4H1EvRBj7qJwcFTU/9qGu0en2 0Qn6ci3+VG6Gyi0AJ0fo8xk68AMXcRDDY7/yULQ4Ob6mJthBlSVIkhJu1EVaewhDCvcISdnBMPaR VUAeRyKE/MqD66u53+2O8DZaRU29hNyXwqlua10/MWGVvYYZ2G6+LCJVJ4zJthQIttmF5ocBHr37 CPce3UOeFSuLVjtSocxLefG5Hh5kObq9bsuMa2yjtb9X77Op1VAz0IF6VoC1TLv1Zs0ue7lut4uP /vxj+VzxiOZAuK63xRTd3ZaCcHkOF0iW5aiKCpXgV5uaqgqUVbPTjpWiyndqdFDifDHH7OoCe4eH +Ow3/4q6KhHGsQimy/MzwYzCwMdoOMLPfv5zPHr0aEvfeD8PnhOgcvhmuIjcvtGsVjcDHt6JOjgc HeLek2PROGSuAcxKB+PCRQFftT2aulmGcjJFnaZwOzH8vT04YdjSFGo4dYkAC0TeFXKHplSBrOgi 9roioNJ8hoLaR5mKgOr4XXgCC+kqo7Bi3x1qqJUDpw5EA6IZmFWFCizzzraejOJbjoP7D+4h6oZw I35QGdnsiLlZe2qyR15P3lffDVE6qQhNCqTACxE6XXnnOGdVXaKqCwRuBLd25W8KUj61w8MjuIO7 OEsKpGUGv3QxqyPkNQ2XGhlc5DJ3nozvbeJGNS0gmnxrpqBoVuXbvfdtmxWc30eL9Gnz67N3EMXh 6oI2zb4XPCYII/npdJeCwXy7JkDs77vBej3/NmCxUf1FA2xrhMu+bQL9q1rYulazC5zfhYG1r7E8 dm1k7s0a36amqb+pwCIOUyPuD7CYTfH040+xWMzFhC2LDFEQoEhm8H0f9+7dRafT2TlvXFCh2xOt qqwzWXSKmK0/AyArauTwkFSOCCru0Px9UQdqjlPbzAtU8znq+RweTfy7dwDPNw+AK6RCVebwnQJ9 L4PvLpBXc7lvnddY1DOkDk1FCh7VkAA1z9KS0EKEUPAg4mE0W0u4jgvPDRB4ETzfR+gEiBAgLxPR tNSWs7O/NBNpBnLOiryCTxxM5IdKjHk9QeBEYtIVdYq6clFXOYoyh+uroKQ26iEQAcf7JOVMTXTH le/cigKLMIUnMEjgU5uilu2j9mKUdY1xSXzUF6ikvqVj5Pu00piCIqzqVQHxUxBWtl/U/L7PNPjE lziZNPXYbnLsbZo1qy/LphaFHZ9t+3t7470oSIkjECMLo+BW57X7q9fRe1pBe9sXaNMkXL0ud+yi rMQsttpVWzitYEsb2pw1hSpcvTrFfJrh+OkniEUYNdIYAQpExRTZ+BxRFOPg4GDD9F0fDwVU4Hbg VgTaV7ES27IauCpdzAvgm2kNJwjgeKrHciygGZWkIqwc3mvQR1JlKK/O4HoBvDBUY5aLenGBMHIx 87MG3E4XmXjOwshH7RSCB1WeI+C8le/Uiti/Zff5i2o2cErx6PkidYz25YaiOlTGYUChxjmihqTC k7JUtSA+F4+7OvHVKmswt8AL4CJGgRQlN0IHiDhX8ATwt1oUHRSB00HpcDMxziLZBKj5Oaj4LwV3 EKuTAEAE3qdCXhPycOTZUuAF/u3f2++iXRUtU9AKh9fFiN5K/0xfGkH6PfpkMKx13Ghpim0XKuse vnWhtTzudfwdqxpSW5NSuoDsVs2g257J9qLdPSGrmFTL23lDW3o4t5uMxO7oyWwLq2192w7sG4Hs OIijCN3CCjq9oZiLdYGeW6DfieB27svMUEg289aeY6vwtBAMIR/UipG1nzNf5vPcQx50EXYzVFdj uMMBQKFlsCrRqujy7/Xg9Ls4e/41Xn71OdLFFFVZoNfrohsFyNK50B7IDBDcXMB6Hxdnl3j/03dx /PCAI5HxRm7VmhcHPsVxlSCvdR4cp0RZUSN0EXodcTJk9QIuX1eDYdJcFCyJmlAdqIeRQsahr5BW Q4Xa5QaXoygI3CuI3/EH6AQDxc6qQpwRxPnEXBaNTQUh54r9osAK3QGKuhQNJq8LZGWJuvJQVh5y el3p1mu9qwXNWY89NO+kdcS8hVYbjVjwsh9ZWK3bV/Z1bwur79uMl3DXot0NwG92YNuxu4XBtkXc pj7sbOKKb/djXeism6Hb72vxm5v61Lpt8539Ue+Y3p8ewk2Tbze3bL3/PP/O0SF6owoXtHbIDyJA 7RToOAXBRpSFoQ8Ywdv2Hq6gglw0eQnPt17G7Y0LsK5dEGMu9/fhLBJUkyk9B4pJEfxwXfhHR6g9 F0WhFI3hqI/EL3Hx8jnyeY7LmQptmkZFWWO+WOD4+I54iwkzBIGC2NRGQq8trLTHFEaNSd829UnH KOciXEI3Vo2JWpJDoaUCgMImLxfiuSQe5dKMpcCjQKI56pZiklJgR0GMnr8vpt68vEJekhpBIUmn jCf4lPDr5J4EyyPRmrLKQSpeP85/V5wgFEh0lqjIXdXA1+e8TZ15k602wqARVuY1a5uFb7u1BRMF pEUIuJ3aPfVNdsUIrE1NYxeWsyqsXk+Duun62zCo9caXRPqxpV+rfdw+TbuIm7v6tN7IvaFXUBYV 540LJfBvNP+2jXPz2BqRW+PQL+hdQODyh8cac+iWJqxeOxUKh+7s258TfVZxTXA9w7z0sOiEQLAP JyO2U8HtdoGQ4DdQZAnmV5foRz6OHxyhqmO4H95D7PXQifoizNKU2JMjc+IFDubFFWbJBHG/g1rM uuX41+dqfb5UeIkuKUKK2pBsEEI1Ia2DeJNqbGqkuWKi5QKe540GTeYA/YBO7iJEX56dctJ4zRJx MERRzZHVqQD7jhuhRg+LKkZGsF9VYMHdeD1ftHzru/zxWmU2HCusLNBuqQI/lHIl3K4fUEDuJI7y oVh2s9Ue6PFLFqkSI4kTeC6iOJadlN8Td0mSROgDXCjD4UBekOl0Ktfco7sbwMX5hZh3JCZyZ2vf 82Ysy93iIVo95qZrrAqt6/ClTQ3Qkldp7mwTeu1jt32+Liy3fU7w2Ter+zZCdP2+5or2E6NNrvbF /k0caeADsVviLM2xILDco3ZBPIbMrELwJmpBTrVAP/QxGA7g+F0x0Xw3bvAnOnD4rhA/IgO9yGeo 44Hcj8Il9gLk1aLBnnjeupm6oXGb3+mlE6xKOm+dL2Zs5Ec5kRhyCpAT/1JNThjxJRBEPqIwxCyd SN/oDWT/qyrG2YsXojFFnSFSJ0RFlx7o6JijJNfQ94S2UeSZPvveSBxP3lsy826j0eQtYfUmTa7X aY1w/AHvLQJLODRbGORnr17hi88+x/HdO6JZfPDxh/jm2Te4ODuX3fvg8BAPHz/E5599jk43xpN3 38HLkxN89vvP5KX+T3/xc+RZin/87/+Ivb0RfvGXfyE74z/8t7/Ho8cP8SqO8eHHH27FvbYKDNlZ li/qTdoU2/r327yJ27CsXcKI6r81AXZjU/VODeJGAcTvWyE37XGsX3/bd1tm4No+2kZt7jB2hc1O nyFFBZ12Ma1Dx0Hlx0iCPTmWNAhLTZXZaN/f/E4BRSGTVy5C10XH7wiDfcZwkUoxJoLnaTlrxrDc h8wz5vyJJkUzTzc2wbS8SLx3SiYllZZUhxqZeA/5meXreaKGeA5N0UiA89JL5B2MnZ4u/DTDr//l d4g6HbhRD44XwA9CxFGATuDh5ckLxN2ekDxnV5fwow6efPpLePFuD+3baFZ7Ko0ZKARRI6ysRlX9 SKbgD9kYvKVxXr6/JjCAdJHg6vIKDx8/QDKeilDL0lQEVNyJMRiOBEvgMYw54zVI3OPfR8dHEq6C OsTXf/oah0f7Dfj4/Jtv8Ytf/gz/z//9/+KDjz7YgkHZtjYj1ot9ozK+W6u5ibqwec5SwC25VNy9 l/jQTULTXv96jEwXv45uu9ev3bdd91ges3v869dpNDsC5cYJsHk9p6FRtJ0Ca1dcmmKuj76/D98h dcFDxyMpisbWHhKaYMUCvc6eCC8KGeJPbPydsYDC9qfzjoRTFFgUqYbsOB3F1YSaEJrYQx85KQo8 gXF4QpFQzhlNOXooKbsIsFPwkV8V+RqpMZ5P0B3uYyEM/XMRznNq0QcHOH7nKc7PL4QUnKYLZPQ4 OiQKKwfxbTcrhNgsZaG09IWWKWaFh1AYfiBzkPiUDQH6IZsvgQZFKTsIbfpm1+TLG4ai4jMUh+RI NsZmDYZ9AVnpgWGTF6NgMCskJIImwcHhAcIgFPOwyAvMp3P5l9wUHj+fzzEY9K8RPpuxhlQCq5yq eSEmpbjqt2jlbW+eBfJvK1jscavXMudWBvC/FXixicXt8iA2fTKsd2oE9vttfVod626czHZhm7a4 zTlw3VjWva/L67THunxmfIcohHpOgKxk0DC1LtIsYoynY7w8uUC+5yIjllQW6MYR8oJhMAng0cFQ ochKxF3V5OhECJwahc/nPpMIi16/h5qxi8SsZN4Cwc8it4vADVGUBXKvQOhToNFLWCJ0I0ReLOYg oYnpbIGP/+xTxL4rTPikrCWu0yHDvdPDw+6BCE8y5EneZaOW9babAOrW22eDlmEE0xrfis1qWW9b fjTC8UcQVmz+UpIblrF5z+tSwxwev/NYhAzxJ0b0dzpdfPLnn8pu1utR4AD3H95HHMfNi/r0/afo dMlqZliMi7/4y79At9/VmDkAf/afPpXd85d/9b9s7dQuwSIxf4zXIhfLoR+N9sX2xWZhZutTFJzF 3fTg3EaA2WOUT1OvBDrvAvDt39eNb2OcjYts8/hdfdppKhowetu9169jPVu7tMzrp2jdK7t6sDgo yhJp4SAOfRFaZVYhTwq8fHEi+BPNuiKcIE0TwU3pWeRcs6vlXO+fpwWCoELik6ZQYjgaIog91G5h Ap/J7Qrge32jrVUIah9eQIDeNTSQWrU3/lfVuGJaAy9ANNhDJ4qQ8M/KhV9J+Ib8dAwG90M1EQbG 0ychNhQMRljBmn7muLZ29UOYg3Lv1wDZDQ+4OVf+/Z4aoG9fTJpzjcnDTANVhX6/jw8/+XjlhOO7 d/UX41Hn7sPUHWzCTA49/PyXv2hwqH5/gL/+33614qn6m7/9G73EDjLj9aA7r+uJZ86C4OuahG11 i5NEgUwHk4Vx5attgsauPxmferyEtFpWGuy9JV2MvcZab7fiRzeZphYT2oa7XXfPXVSMa/wTW/ty k4dz23dLysfmsc+ff4vT01OZ9zAIENLrWAOTxRSdboQ4DoVcSk08yxLR5vecEfaOVCCJiYcIPmL1 xpLwUTJcidwravgUVFETZkOhJQx0cRdw6esKodbFsVG4URO7It9tdAd1WWHmdpGUND31eQftlfYD Nas1SSgNBbQRUuWasLJtRcv5Ab2CVkDedD++RhJu1TqvDdSL7PgO/Sa9Z+1F1XVGD6DccbUbIszE S9iaJXuuaGlr5n27Q8o30nxR3xXv4fkkAlKAUNMRNvaWxdLm+eh3tWh1EmhstJi6yW+kgbbrTY4l ebLUyaW2SLf2er+u8zJu+/62tAc2YoaM+KcGy/7kKbMvOGKaLzUjnRcGea9cx7w4t8Hwtt37uu+2 aX3imascoR74srEAJycnIrDG47H0R3EwB5dX5xiMBhgMepI1I4gCTKczGW/UD3Bv70CyLDAsh1hY 5FHg6Lsj1M6KmpWFJLiba9gMwX59h9WjLOZcWYuwY9PUMGS61xh2AiwqF54x9d4GW6qtNLenbGkB LLlUNsuCFV46p61z6uX6/KG0qo1m9+Gb7mv6Zvd2O3QuV7McZdx2nK+tYW32Sq8qKj3zAMlDpaAo RJ0W97UQAlXLorklnWAMl+BZ+pII2c/8zXMIVnOmiVcw3UuzeM3/V5LftYSO7ROvIWop8yyZ466n FizH5HoMp1guOCZ7I8fH83rwtjA8RKAVjBFjrBspHAoc39Ruy5e6Fvky4yFN5OXzExm3zC1xQJqk ht5BbJEZKEb7I+wfHkjMnb2QPJMdfbqJq3bT5+tan+T+YvwcHy8zQOQ5puMxBsM90crHV1eKeRLU TqY4uDsw4TA9dHrMxKCpYR6+cw8Hd/cEx6I3jwLGd5meqEWCFQHgihfSas+a52stVYvhyDGX19Xl pWw4x8fHOD8/x3A0wiAIkWY1JhcJusM9zCdXiHsDyZhhNWkvijXLwi2sgXbQsV3T9jP+rfTZ5bH2 X6EmtDSmXRpM1daofkCtyt670a5ucWM7dmrT3yfYeb35FDZcANvadDLF11/+SSgMd+/fE8H0H//+ H8KrIk716MljASp/99vf4c7xMR48eoCXp6f4/A9/lAX10ScfShqXf/jvf4+Dg315Se4/fIDf/fbf REt7+PiRUCOWQ1Shp2lAzKf2ybRQX/WIVI15uA1UXy6oVY1gVUuwubUIhAU7eV9i6gpuJZ82nkN7 n9vgVu22CwQXDdWKbvM5BRW1KdmlqVUGvvxQcMm9TDjQViGzpSu7KBy36fd1Qk4IvWYHpUU1TROc vDjB/sE+7h7fwf279ySxHwOXF+VExsrYugBdzPJzVDnQ3+9isN+BHzJoWAmbnA9uLDIX7pLIKWaf SU+k4cXbtWw+v1evXuLzz/6ILM+wt78n+dHu3ruH6WyGwg3x6tUZeoMR6iJD0Okhnc8QRQzyD+BH XYzuPsTB/Sc750VMty1AuAXBrUknXTe/i3BqURGs+Ve/4fxRb6qJAHpNvpfNwcVHuS7Iv+tYfGpM fDjbGrWrFy9OxCQ5ODpEHHfk9/ls3iTl40v5b7/+N3z4cYaj40PhY11eXmG0N5Q0M1zspDVQCB3d ORQzbj6f4Q+//yPuPbi3KSxlIEtOvywDq0/LomD6Eh6jWAa1CDFfdy66pat9/XvhCjF75jZX47I7 TVxc81kLF1pfxMl8gSRZNFpop9cRpwVPYn8pqDkv6+EajWBe02RIxj2+f29p3pgUOcqdU8yFc0sM ktrVqhbS9pTe7Gxg32i6TSZjHB0dGe9YhV6/bxILMuxmLnPa6/VWhG1bT5a4yDDEvXvHYgLKWJmV NfBR5ZmA4YSX+tG+cKd8eOj39hH3A6TV3PSXwqhCXqXiWdR72DFsN7HXl7vFODk3Dx89wuXlBZI0 keteXJzh8mqG2g9RFTnS2Vj6zRQ+3f5AaDrUuKrJBPFwb0XLb+ZrDXuyAsiiJQ3Q3DbtWt+1taRd GpM1/X5MYVVZ4P873H9dY2ybxtfF/V7Lw2rEfnPJZaMw44O/vLjE0/cPxHNIE4/5q5VceibCif+e n13g+K6+pPTikBkvoLXjyN8UdGrXujg43BNhd+/Bg0YTUmayjdxfJ3QusSg24jWSJaEgGF5KvBqT 561rWcuJWb5w7cVL8qJdDLv4Ubse1DY8h16ui7MLpIlqBUxuaI8RTpHB3p68/3RT02phA/aaXGxL jtzyvtbctXjghjncWmLr2qDFvtrJELXvKb7+6ivh2P32t7+R50VqS7fTweXVlSaEoWbnOtjf3xdz mRvO06dP0en0mrnmnWmqHhrtucE4JcMCs7Pm6AcHojGlyRm6vhJSJX97i5JCnlXXHwo2RdOdFAZ9 XqsbzLbxsdESeHn6CnHUwf37D5DnGRb5BEk2E4/MLI8xq2OhPUgixizFfDrG4OCOkEcLZlBlsr/+ cGNdWOypbcpZoWU1qHWQvH3ubWCg5po/YoqYqpWpVGK8v0PKmpVjjQZusazXDdL2tyzR5uEQ6H3y 7mN5SfcPDuSzu/fuyu7Kl5Y7FflWo72RLFDV1By88/QJQsmtpeS9T3/25xgO+7IQ+DLRlKSpMNrX F7VNyrTM83Vh1e6b03idPdSMYUtyTRm8I8hUX5bV9MZLCqokEbkWaHa30BCuO56LlVofHRQacUgs rEDgh+K34sJd7d/q3zeZZxQ033zzjWiq3DjoYbu8vMRgMGg2FB2ZsuqiMFCS5GQsAvXw4BB3795t gGjbB/UxFLg4P5frUZumdvSyZG4qAv0RksVCrk9hwPHxHbl7fBdR3NHMnZJSZWmmL8dXSwwff5i+ hSA6TT3dwDSTKAF2zXNF7MNF7PfgewGSYiqePWJWbT1Lrk0RIe7gtskvs4S8rDCdzfFo/wGiTgAv LuHXHfRM/vYwH8GvuohkHuiUqTDiWIPrC4HIQmulIxYtqxXPp2O+9hLXLnjRyMxC/kmkh4HJOGEm nqyP9fHxu5s8f3wnGFFhTWPB9YR7+Lo8rB3mFF/Qu/cfyIPkTstD7tw9FvOQ+AOFlmpISoWwJsmT p+/qxUUzqPHJp5/IThWY7+/dvy+7Ha/fnpK2BrXUupaDbQ19qUPUzPhJ/o0KnZsWuypx7WPsi779 JbPHEvBum4VL4bl6PwLIxJzWrqLBxJ7ygdb70AisTatjS//12OlkLFVurNk2mUwaba7b68ln08lE NheaoqSonJ1pWmvm0uLnxHPsNSmAzl6diyZCranBxYyJLian64kDYiW1jQvE3UBwKeZMr0oK65EQ MxtNrq4wLy6xKCaiKUVhF4tyLHgWc2TNykuTe4r3Jf3EQ+z30Q2GIsB4fuy1YglN0/AcJg0MJQ2M fFZQaNZI8gpB1MG7T99Bt0OOYKnZG2Rx0ZPIwhzMQmq1NWrAdGbs9hXa18NSDxrm+RsMABYvYStN zI/V6gYr1j/UCaavJzWttoNAUkAbCoNl4a83q1WtA/CieLyGYJYQ2ybUYkWT0c91ESxXEtm+lvHL Zhnw7bb6GTOZquZlFynNudjvtgTSdRpMW5it4zB6nARnmxdPvJjGkWCr8+hYVrWooshF2+BCVG/l 9gkS2gTJjpJPfVWwbTtHvKfGNN3WrqMXKF63W2LxePaZmhWDbx/cfyhTQk8iMSc1X2vRuhbzhZjm 9M7rex3sAAAgAElEQVRxg+BmQUFF4NtuQO35pNbE6x4dHUoc6Hr/2mZX+3eGu4yTS8GiyGTymEYY 1MiWC59a1Ty/EjyKWvG8GIuGtSimmoWhNHw3wRL5f2YX7aAutaiJHFLVyDxltAt9AgzhoXAqUTjK wRLNhOPzfFSuh17ow48DySzKH5qYzBJP7WpSFkgqDxG3/NcEntvC6k1kK7D7tL3+T0GrqqwpaIRV m1NllkQjWNvCrCnC1GoUZo0PZUtr+cZubPQFX/N1e8u/xfa/yrra+H3TjFrv6aapdBPLmz/WY8j2 b7/9LWbzueRx19hHFlfwMej3cXU1FvzowcOH+I/f/160DLq8KWCePn1PzN6Gsd8SntTeqKVwUSvB djv7+3XIliuzYO+1SXLfaAxpOj19heFggMePHxssSpN2W2Y7x6MZZGukWYJet6/YgeR80opEdKC0 709zMnovQhzFG+z3dU6ZaF+mEs+iGIuwgqt9oCduXs3gu0y6zBTKwDSjsGL2A4J6av6VzgxpznJf Nge+mspMWSwJ8eyW7bKUllJkfDovKFzLTEJ6NO0z0yg7EmRdVBoKXdIsbZV003TGvvSXKWgchgdl jH2liXn71lAV1sD276sJtYXUj6pV1WpdWw2p4Y9tWflizlE7MoKo4YXtuPY6B63tTNj07u6eB39p 5lw3U69LpLida38bz6oN/t+GO6REUs1PxXMplF6+PEWSpsizTHg31EqohdADRuzGDQJcXF6KwHr5 8qVokcRs/uv/+X9t9E92cWSSErwo6UBnDu9Ns2E7B2xzoV83HitwrjNtKVBJEel2uo1wXe+DnFuz 6ouHvjNohM/6ptO+t2qaqjlTg5EcVELMNCif4wmGtDy3RFrNJNkdj5ecm5wWr0CGCXLHRdfb18ye fipqP7EtN1DPXVmlog0zPY2wWej19NXzyZTI1K4cX+sk+qBwUUoDhRSLRhAvs84UUn8XtS+51Jnc mErToqJg5DzSs2oq49SFeIbP0xqVG++ocLS9iaAyYTMNufN7akP2/B9bo6pawsPuE/K2GHzJjnc9 AMAeJ7oCzT0jfNrJBOX6/NtcdwXrM/+KqWiUMz6RJblns/nbU7e+roDafd4u7s7Sc7c8z5p9u5jj 264j1VzcGheXV4LZPH73XTx8913kCSPzmeOoK654Ka6Q5ojDAPfuHmM42peiCb/61a/w7fNvRfBx wW7eR7ENsKYdGMgtae8axvttWltj2fb58oPV82Rx1rlJr6IbC4UUTe7bkVOXgkqxM60StPTabSlM azSnaX6GEqrBSAVkKc1lBCoqLMopkmKGsmSSPOY1X5rwNAkDx0fKWoClKcslVbC1CKAIrIy4GHlO hoNW1hLY7vsuOmEHkcNSXSUCP5JAZiWF0hykoHKlsg37NiscTLJAFldX8mKx+AbjTGuc5R5it5If a6vMigBzJh802tptGs/MW1iVTevyuiztdmMy1+9z/ptuDR+Mgsm8Eib8Ur9jf63ZZwSMJCMQ3qTB okw4TpupL9cx47Wa1fqw+Rl1AM+STa3A3DI/W57apqazdvm1z1b/bpsR2wiNy+9ad7zB7GtfZ5vg 4k6ZpQkuLy7w6J3HGI1GUuxASzvZZOw6A1LwwHXR63aRVbUkyxsdsggmd22zFbTHIVFp5E0xcFdZ /gR2+V1omP7t8e4SrNcds8tLKJiM1MEDe9B8Jx7Ia1/2VTObzO7f/e7fxIsbScUjDU959fIUe/sH ol1RC2V1ZHKVpvMrHD4Y4uDeUEavmReWwpwexzTLkRU016jlrmp2XY+JGX2pmMwwHTnPao80+6Ty WAk/4jW1j+L5JVerjqQGIR0UdMxIVeZAK/8Q26oLR+INZ4w9LB3U3X3xSHvJlQTDz2h3drvoxB3M CweXC7FDBcPrexS0rFrNMnS325Stxy638X03aFY3ASc/peIQK3F/jkbVWeGELWBNG1aWag/1Kt3A okvbxn+dcLbX1lJv+oHk/bqdwFpO+bpgWacXbOsew0QIfFJb4QtoXdrrx+q1l7m5tzX7Mq/0YMvi 5nGHhwfY29tTSgFDMqy6v8MMYzodmg6Meet1BsiIgTCtMPMtbcOcpECCujQkXZxoLFqpuc2ib99n V3+3NSuULaFUcaJSXP/UrtQTRshYtQw2rSy9bjbbIS+FCD2AzLJBAfD73/9ePbX37uHFixeYTKbC sWKqH6ZbIfB+fP8Ig/2uhM0wGsBqVzT90qxAXuai1YrvhXZAawwsoRV5fdGK2GeajUlNTSyH0KwE JylN5liTjlGqhKkgHnT2pYwWtWFLCiarPyCFxayQZ18/x69//RsEUSQUBNaEZCppBi3z2VtOWwkf k+lUvKYk4C6mV+gf3MOf/a9/t1Ie/romJo4RVtacuVbYGByo8WO3FrItFf8TklXabFWb22PfG15M ni/mZEtovc44rTloTdFdgRstgbWuNW076fpu8EX5/N8/E9CU+bK4c8vCZhre4QDjyysRUA/feSR5 s65bvCtk0lb/1sNZlj0j3yhsXPLbRtwWLGTMMvdRQTqG7DCheJpWCaQqmEVwCMirlYsLam6SEb1N iqw2/l4f3/pn2zQtG/8ngpiYD13wBn+hW570AeJHsTeA63VWXRvmQVtOFX9OT18KVrdYLBAEe7h7 956Wnp9OcXTnjgiq8fwS3biH6dVUPHkIKhwd3ZF7a+ZQlpuvBVAXEzUkxmUiwteaFIIwYTOR6d+8 GosN4XcgyfCYdljwMsfMiQBEHuKwKxlFma7YIYhvMmZkeYEyyRAGWumafaZZzx14PJ01WvTe3r7g lrw2SbCXdLK4yqNjzrfe8ECDr2+JbPMom4r4dagL1rRq/pZx/rRKxa837h/fpzq0reb8uoJK7k1a RCt8xwr2bX30ufhscYB1L99yQVmNapemtDyP7HaC25dnl5IDi8n+SCo9/fZUPHa9fgeL2UIEVpvO sCmobjYVV5oxfK/TaNYxsY5PR3yFpNAMCC5VAPlNg7aXc0C0hItXsRTPJ8O+wGKh53Ev/81vfi0Y 2uHREZ48eQcvnn8rXkcG3XJOKMAJ7NMc++ijjzW31wpIvpmqWsxRYkFVipw51R0t7MnyU1oZ2dmu WbHOZJ7hajLFdDKXKjYffviepHdZZ4Uvqgn8PEfP38Ph3X0syiv4TkeqNJfIpcgEz2EyvEU+Q1pN xBO3+b4sQ4Es1kQsjDiXaIWVYk85S9wrl2b5/rC6Mwtu0LSv5mKC8yDmXecdqB1mRYIXJye4upiI I+X/+Lu/w1VW4zwjuA4M/RoHkRT/0oD1PMcXX/wRncN7CPbuoqYZqBIQjtQiu7nZwOSmyMMtVqJ1 79s8VqLpKYH/J9scbtg7CKGv277L6ZbywHunO0rY2xhVKVXPxGUEK7kbETOQ8kX8e0Ne2BTBtmub APWdJ49x1yiXfMjc3aiut4ezNAM3vWI2hGYds9rmYl9eQxf8bbCkbVwvepKY/tap1fxikXFqMeJy N/GGfqukPQF3x/ElfxJ3zcWiQNzp4sXz51LklClSyCp//uKF/H51daXmUqhY2AcffLiZU4sPw/fE /LG5vqT8FJknUm9Pqw1TgFG7W89M0FYqxfMSAAe9oeBs+/UIeQlEoQLX1ozm8ZHTwaL0RYNkiEwv GIlGUBgvnlP7mM1TpHki6Vw8epUd1fbWGwUTYwGjuivfz/IrlCXLcqmaUTKjaJGLAFJBVaPKXCm/ 1e30JNso+8F+dYI+alOphgx4auvd7gCzaSraWu1qpeYAsWQnrRyNKw19F2mdohf18LOf/0JWwkVa 4Yopra8hhW7TGLh4mONPy6Hd+tTmGbQs859+c75bbN+buvdtmy+2v3iGaixKBZkpvCi0FkzgL3m+ 21rK8i7txW/JdLwehRQb9zS6lrlDEV/Ynqt8O0y5jai4/tlS4DT/a47bRZuQdLskElaJgLsiAIhn OLngWJ7L7+gKpzZCwz5HyDQnLE5g7yOXo7kG1Okc08tzWVA//8UvJJyFC+fOnWMcHBhwPgzlcwK/ Ni3OrrYiqI3f1wZna0iLBh2vB18Lc5taGBPcEWvKaQJ6Eucp3rQZC4YyFm91rknc1JxgNEHNQpPx l0JjoNbHew1YiIGCyEsxK853LkSar+P8lbwoFFrEruiZ5JjzvFJSMblzKV8YD71OH6PuIeb5pdQJ zPIU3XggGiWqhZijZcXEewWCXhd33nmM0EulXmFVdwT55SZA8ZmQENtyQylHj+8xSz/Xr+0VTL9j RZoV2Pb/B62ynLIfyWTlfQndXocN2ik1lZ+pBZHJvUoRo+JMWzIRnIca2BrS1QgrvQY38HXRw/O4 saVlLcJMUk1s8RReB1RvamDY/L5FutzAhQQksWEihZgdXJD0EPJzzdpAGzlEWRN3mcJ3WdxTXfGs RFzVfWQCsqvQU7ubHqsJZpMJHjx8gL29ZZDs8bHJzLqlT9ePdxVDk2hAiWf0twhkPZdChbyzRck+ Z6K5SBpnvbhcI4p8Mck124OLOGIa4kJY5zyGwmKazeAFCXJ3KvMUuyMELOXFxIWWe1axdHwAsq12 tTRJ8O0XpxjtD9A/NNqUZKtQ4q1QGMoa3W6MQbwvuJlgZ6y27GkmCxp3vheKE0Tws8LFOC0QB4mU r09KOknIq6KgZlGKulXM0+bf1/yyh6GDE6n+fHOzqYktbvU63rw2GfKn5AW8qVlnwo/VhMqwNtfr XAXOLfvpX6vlGFo9ER1elELHLlS7wws5T4iFuzU7fh57jrwEFOKiqWwRWku+0jaO1maAdPu8bTdf HmPCduoci/JSMJqAeEq9gM/0MvKSu8irqckUoQU17BhppkCEGLk/1MiUOMkJ7vb7Etnf7WomzfWx rMzDNfnfbSZXmo3N9/KFYYGjQIFU0gG3BTM1N6n7SK6RW8i/rBNJ0ig1JacIJUVQkqR4//33xRzj 9ahx1U6OWZ40uaSr4ArIfHihalcU5PT4kqJAbSmrFiLsiU3tdNlnBZIpkyL6+PrLb/F+9zGiboQy hXFUcDAuHL9A4HUEpE8pKBmyM5ug1x1JzCA9lBx/WjF8h9WYbVJHvrhqqvt1KOz2jlthPwA68o5p TGtVFmJes41zBznf2xssQsH+jWbVpCbeMU59Rmvxfz9wUr2fclu3bey/7Tlrt7ZDwgZJU6a02fB8 NjeUql828aRJeW6qy5pu2LEa1BbNalsTQp/s5sQlWtmNNky+myslr7dtL8qSz1SZYNe54EHMYElK AHfgpLwyQbFE+9i/YosHUlMpV+XYJP1TzyFRyjDoSrkqGxp0HaFzU/NbCmOCxDavfvt7m2qHQiLH AkEdN0RSehEZqvPtt89xevoCizmryUQSCL2YJ4hNzjIKpPF4gv/xr/+Kv/rrX+HTTz9FGPqYM2Gd KR2vmJiDEDFC9MQEJietYDGHQAUW54BCq8lX1p5rOEjnOcbnE5y/ukR/0MN7nzwB8e2qsFuoA6ek IC3RjYcYxXfkwdGJwF8iv4dBeKhZOASmmBrPrIuq9pDmPpJcwfl+SN4OKz7lyBDhonBxRaAONQ4j xsAy0JzxjUx+SBbb9dLKllansNoVYqIbx1I42WBeIUqynqPZ5CTdEdN3/wi54b9Lkyyxa2D3Nm+f sxaGs6vxXENRVDzVzJ09n82a2ls1u1bed6s0yflLgbXesW2AtcpIPqCoRWx8vUeiub55DZZ+4qDc a8pfbXttdgqtFpC+fi0uMhIPScIUpjQ9Ue7AmLE9ZPVMiaY6+pX7iqdOQlIcpOVEvpKy6FzgZQCH udRvQXrfpV0J69vgWjaZYRujE9Df7YjA5RhYror39mplglMDYrFaCpV4/1BjByUTw0gWPnEzAvcH B4eieTC42YYckdjJARHD6/ojc69YwmLms0QCpCnYbFYECkpqPhSethy8bRJrmRWykfX6XfRHXXih pqVWliEdAcSbSEz0MYqPREjSS1s4mfR71DuC54Vqohqznfhb5MaIYw/DsMCsKDErfIzzQLT2yLzM ucOiFAGcMpUahpWXGKHnYJy78ILVtDQ692pOy+/EwEoHiWS/UB86N1Y+G2sJKE+OCRN1By9rp/Gs TcZMlaPWBs3d/pBjfxtZ4l+/bfr2V5toNKarbS2orTGua0ftGEDLyWoE2trx9h7t1uTWKpaaVMNd M5uCvDM2VMhQH7YKrG14i73pCkP91lOyem0eRfwoZT6ljeDrNmK5G7fa3sEdwtbRCH3Gx6n3Mmu0 qqyaNURMe/+lOagyXnO/azkpwfsc0gqocupnbukK7mI9d9sE0zaBzH8lDrKshK3ddHflWGbdXCjG Y2rvuW4gC+nk5FQKN3zw4YfC7rfHpyKITEphgdPZt+XisX3i915douePRBDpiB1QZ6FZGMWkXij3 S0vA236bajTm1WT9wItTUlnGkpnj4HiEIHaFm+k6gWBlDN3hHMXOAFHQR+BpHCRBeSbUo3CkBsm/ VdPVZyXPqGbCPe17hwkNnQUW+QJpEaJAhEqKXqhHunSYtbRGxI2xrnCVkHBKbUsXRiF553VVnV8k eP6cxNJQBGtSOTgbL2TGjo76GM8yjKcJothHrxuJFr03iFGmFVJuJp6DOPaRs2xZXjblxAL+m1Wo fS0t92O2sqUxipW0ZXNdFy7N5ztgnvU0MXUr0+ptra32tWy6GnaNDrplp5Zare2fb71A13nulgBv +/v2cF+/KSBsfr/FJdaxq3V6go3V20aHCKUsuXqtKnGbq1etdLTqcHvMSzxMA36pnZCtTc+imgEm jzxNDHnvC6Q0rRhS4q8ll9vBsm9/J1EBLH21o+/aHVPgI2NFGpZ+p5lVigDo97tN0LKdWWpkEjPY Sv28fm3+9Lw9RG4mjHTOLwOZhcnElC01NRUV5KqhaoUaSx9pxlFWePntOZJZJozz7iCGL5qVyQqb MahZi6rSFGfYjla20Wsw84KEPXGRm3Qxu/h3FNKUPI4bCYeuhxzz0sNckgZq1lAuyLTyMEvp+QRO L0vEPSBZZBiNQswmBfr9ANmixL/80wk+++ISH39yJPSPq0WOeZHj/r2hCLgkpRmsGxiFVa+nxOLF IsfljARVF9UwRpKwurXW8qSw0lJkZuPDj9Nq82+bma/jeDN9ajGbjNWhtt+mX/76ZhP62QykjPKS ClXthIFt81CKGdB7xzdsBZrXo5bqofZMX6YljLYEzpc7LtsuHlS7UUshvEEP3W3bNqY4AWsrsLZ5 3pS9XsrCrBymWCmxmM9RuyUKmmPigNMXjGajmq6hFN2khsEdXMtL0UTRsYswIyhN+8ApkOf0TAUI Ay6cXZyx1TFwN25MEpOvXceg/0olGo4NIRxyohxWzvZQFuoBOzjcl+ra1klhxy/J8zZCdpa0Do5x Xo5lTpiqmJ9kVYqsSqR+n3LRaiTFXMJotmFWcq2yxvh8JoFfTFooXsFRV9jkNBnpFWRaY2IP/XBf hZ1LUJxVmRPRrKhJkdu1HPv2OcuzAi9PzjCfLtAbjlCUFIJMkxMhK3zkNPHFdOdzLIWwypQzs5Rx pYUIq8W8RBS5wtt6fjLFV9+McbDflQKv43mKy0mCozt99HqxaFqkh8SRj25HM8hSmypSCtkavUEo 7934KkGnG6DMqcUrAdajgA5350R7W61u/b4tCeCb6o6lQaw6zFR7s3mzeP9tCfvW24rZKBxHxRKt EGOz4cAS/hMQoyiJoyhnaOOClldlMCXLAG8LM9vhTdypLWdtYYHl91QF6dVROsXyOmvkCaP57J5w wXq4s13zRKgVRW5fFuI8u8Tnv/9MgoGrykF3GIpIZxkqFoKlMPJYUZhxkVWFqB8iHCqtgNehealg oslQSUBZKmNUEkYigOuWJ7WuEQruQ6DYycSczIUnpTnwJTtpqSEwqnX4CEMXoR+hLj2UVYKaglGC kwnWt8e6PYJAKBB1IeTOpBwLfldUueBi8+JKNB8+oxKZvjAVBYEmymtfV7SdokI6zTG9nItg2j/c l+rgUUiSrS85sCoTc0gRmpeqofa9rmwEk+RMYhsH3UMpiErBuOvxyflZiW+fneDkm1MpdCKmqJSX 40biomYx1JTE2gShx6R/BZzeIxw//RmiyEMUe1hMM8R+gGmW4b/903N0KGQHMaYJvcc0gX3sj7pI 6F0kv8t35VmGoYfhMBLbRMZvTKXBKEaRV0gT0jU0TFwesc2P8gPJq9r8byVDwpbiD6LNfNd7mAs1 xV236CKiGdnq1GvlvW47HTxmm5CzBT58YbQL2NsWNssXXbSAUr1sK7c1cV5Cgtxm/xpWvMWVdplz estVrajRQEweI+IgbWb3Bk/rhvjGdUEm4LIfYjFLEYQe5mNydCosFsQrGDyt9DSaVWHHF46STX7P eaDGxbpUheAmig1JkVXfQ5Yz5q4QsFp63EzXpmYo2pVJayMRAQIyuhJvR2wrisiCYo0/EkJ9RAE5 Yp4wvMs6UmZ4lZmgU82qsD729d+p+RCPkhxWQp3QyjTikBBe1rnQGDgHLr2EFZPs8Tmo4OAdUhZr mCQYn01l7vcORuiNOpLPKvQi0dSEUuCqB7IbjsT07nojmdfLxUtMppc43nssedvzeo60mIsDw0Y6 LIMhGAfooC48HN85RieKZYO1aaiL2pPcVovUxXgK9OIcHT/HPMkxq/YkjUyvz5hWArw6B2dnC5y9 muPJkz2EsYtUtnRgNGKxWiCV56cB9J04wN6IlZUclLnhcrkO0qREGDJ7q65QWgu8hx95snd5ATdQ /CCtukVuLpto73WbCJ81z+lNHDNrazWmqPnfbTMyrffTXov/tkD3LdqVpDLRlL+bwLouuNr+MPK+ xZ1aN9HaeVDbRaHUtanE1FVtQL1iXFAUWNsHZgWfcpbWWfHbWPISJO138d5HHwqYnpdakosLlmEj bkC9iaB2gTCIRfPKMBMZL32lNiBEWhelkCg9AcJZSp1CNQ5ZKFQ9RhwzzRMlmuqmoOxr5ojStMSD fmdDE+KuTpY6Z4iZOiWFC58F56F2JBWMFCVlpk0nRQYmyGNeewLyuugZBEyvoNtK2UwcioA86R1i 8qLCtDgToWRfM5qGkoTB8VE6mRTPYDCy0CtyD1lSYDpJMJsQhAcG/SH2Rvugpq65tmhym6R5zLfl MB12D0VJbbXA5WSMq6sLGcvCy1H4UyTpXJj5NKO0NgC11hrdoZZgm09STK8WuHN8hHc/eCjXJM2h kESDwILgu9MDiJNJGpoKV3Pg5GWBbp9hPa5gVzTV+DxfvODzdKT4BJ/OLM8xHEQ4PupjkVdIphTS ATqdCHFs5jylBeLA4a7CLKqTVARY1PHFpOR2IWJdhBYdDj+cOVjfEDq0S2u5qTXJ+26ZYaIt0HSt LAWN9OF7KJ2Np1ByO9kLmbJR28yZVQ1M/xXtqpVSQrUwi3EpLiMaSUskr6iGRqiw+m4o61OxGVH3 61QDfU2ubkkt0iKsbpAyt3y2W8PyJN2IBH6ztLoIRWotan7x77QsZOdf9Voav1WVC5ql+d4jhH5P tTKjVUqKE4McqlouxdU1KLYsJZCXXyoOsBn3aE1r4T5R+5FUwEpFIPfq8vwCV+cXmoVTFDzlxdlK 2vxhsVAGWlNoHRwdwI3olZ0KsK6eTpIu1QERetQsimVSPzELCxkfNVEC/EVeY341lwBu9osC6vBo hKODY8mwoO+MK2OjsJRNiQ4Pn4LcFy1wmp1jls4xu8jQ6wV4OT0R4XTx6hy9YU+OlyBXCWHKEffu iqklNQHIZg8ZgqNB6sSXiooZvn1NQcNZcKmH0rT2sMhKqUzOXFpCe8gq7B2GKLMaXz8bo9cN5f2c Lkr4oYvBIJIYzjxNxBTsdCioIGA8zV+qB9zMWFaOPzQfR3uxRBBQcNE05L3EnKd38IcyB+vrUxPr C/V6AstqVTem0tnRF9sZa5K28ajv0niqaGfcDMgibksRAbg2emmFhZJEbWfafI3lpZc9o5mkuNU1 aYLLEmlBbc0ILJpKdKxXC9UohDRIM0w9dKpe2gtq16ToxBYy1HXAvyzs2kckmoYWTRCtDrloXhUB +aoQc6nNyG+HzQiJFilioWpYSoN+K9qnCWAmx1tFFoVVKjyewA2UjW4Dz4yJvaIVmlzkJBpY8qsg JcIFrbFYqKYgJqXrIqGwyHNly9eOlP9KFwmGe0OU/kK8nSI8qEHWuYyNzHnmuyrqxKSD5j1MWmRj GlNIsIz8y5evMJtPJVXQwf4h+sO+mKl8OFJNhwHP6aVobFEQoYSHbkB+lyehPGTP7x900fdrwboo vKkpEscjFcINHNFyVTuNTYbSCnEvlJzzpCvMi8WyNBt8lBWLTJDaECKdTpDlC9RehHQhETyYX1yg SnqykqZnKbK8h8uLRFIRTWYZFl6Jxwd76PVjjBeZaM3UqqKQKaOJZ6rHzwn1PSZeReHE77mH5gs6 FiQoVxdWxJz0P5x25Szh5Z2tERy3vKYA3N8xV70VHTbyRX5MEYo30XytcGPB4CVupXG37WrESqBz Q7Ui2xH/27hGtt00aJoRXpPLW86Q2MSq8uAL34l7pimPpT711j1veFIbpqFqcNZ9Tk3JYlCixdBr yVJVYMI4LSArxtLKIKx3FC1TVM3hxrRjLJ9gGFqslAG4vAQFC922rH5Gb6J1Qkj+dDAuLlAg32YX JT+bqYLZC9E+FdwfHvQRDZj33OTxYiY9wfyVPiwOAWpJJWs2poLDzRg76cYImTamysQslBkRIaUE TW5hS3Ce88PCESSmFiI0uj3iZimOjvelMG4cdCXMJs1ZFWci2hixG4Y+8V5S1dllaD3LdPXQC5Ur 5nQsdZmaTy4ClamSszoxNJMlGUdHrcKQpp7vaJGJivwrek8dIKSHFzVOT7/B+bdfw/H7qNARb97i 8jk6vUNEcY58PsZldheOVMvxcXI2w51HfYyGHdkQiV2x0TNIra3fITm3Ru05MgekOXAjonZFPz3Z 4xsAACAASURBVIt5wcTUFLoLTWezMomzURMLfwBvoXtDapjbajdW2FhawY5ML1tb+xbG8NrJ7/ou zZq1JvhZP7J8rG3ZBIi3kHOz2T1LKG3P1vZebtN2JGpj7XAuZP7YogEkSi77tORLNUG15Att3JKC wHCHhLVAM5OYmC5Q4ik0Aa3WpmmAVXgbuSl9YOZM5W9xMbc1S93lQydWgmYLKyP4bikJdncTzIoe QbVvV+ZIr5+jcgrJVU6ulWY7UIa50BQEm9I0KjSjYonDi5r6f7vmuz9kFo4paiawCw6E2pGgFAKn LTRB8H7lPGJ6wu6oMZ8tcHlxhdH+EEcPDrBXjKQKj6RMpuCg1HSZuiZGHGiBXTtgXoekUYZ0EUtr nC8igljBxoUXBkxgrCZpnaxRYxRP5DxraBC1NKBjMmwwAPpiVuHqMsE0TfD11zmefUGaQY1+h+RZ F04dYDLOsWBF536Ec+bT2n+AZ6dzFF6Fw8OeKWlF3I00BnWA9Dv0IOv7mcyZFkdDtzgWjpeCiZts kVaacseUhNMCwzWmk0yOoZb21s1D5/p9+zYmmbyfLfaKDVBYM2Z23r5dBsze800P2wisXZddVSLF XDEvXKOtbOAutvub5tgu80zKTklFO01XLHwO1klxGaRLPGWdjL/JcbIhEaKBtLovC1wKaCqorOTP 1bQz1g0gwLljKrhwEZrEciSXtllyduy8H7WwjjeUtC9tyobkmGfAbkqg10UnVhyOgpVmMndvDY8p luEwoGmjZa/U4cACogrOG5+rCnIx1UJ4Mg7GuWzH6doOEKWUMIZSKx6r5qZxUfQE6gmavb6i9kXC JENgpjOMr6YqMIoKo/2+mScNjFahrsx/hQxowlrTuEJeJPIv8b2V/plwKTaSXHk9Ow8MWhZBJQkK qWVrtWc+O6E/iGJG2omPnuNiXJc4fTnH9GqCjh/hzv1P0N+jB3ghzoajO0ye6GIxnuHwYRdZlOPz P7KKUoloz0MUErusMZskmk8r4Gc6NlJuFkar4iYh5mFRyfPzSVJleE6x5AHa5UJiKT29w268Aw9+ s801AqZdebrdXqcHlqQpK6ll3rUDkTeuv1Yk9W0yOprKz6sLUrqx1qvlryzSSQ6NeKQqupg1wVqa JgZP0d10RefaQQrUpIEmBxEzbgoATrOCi7zezWUyAtMy2JkR0xhossBoltgKv7yraFNckAQ2toDx lghqvX9CIG2UBRWETbwUr+8GYvaoVrbGYGdsFj1QracrJoMUd9XJlJQpJGp6JGrSBFS8it8p8E9P ZGQ8YmqqyCK2/v7m5WjdtzXXbGLWUYOSnF6xEVaSBlCIo77gY9aWoPlai7BiLNxiluDibCwaFqsn M/1wRE8os1VIIjytgLMcn8Ur9TPyrmjiRZ6OYfkWG8dKi6QrJrXO6tKbSvqGCSmyhUCoIZNUq58p sH008PHxOxEuzybY3+tilncxQYx//z3DiWp4nT7igYfpJMI8ixB1MizSl+pxkgBpFTjcXMTUY6Wl UFPgZHSQZKUw3MkD41OhxhT46lSR1EOe4QhKWmedd2pX3W4gTPgfojnObrPQVly+8RqGF2mNAMvp UifS0sSznv32eW17oW1RvA1ZbUzCNoN9RzO9pJt7cjWWisIEdPnpcDgQbtB0PDVZNelKZ8I2colC zOcL3H94T1KxtFMDszFHlgodZj5lvFyJDr1ONqxkpUtWWBEXMnXzyBVieXLiHIUubAmqlYVNzIeC IBJyoRwveMeqdc4FI3GCcnhXriUpVCSJXdCA8bY+H7ULMsKpBbZj9LAuoOm1ElN2RVneLONlUgJb YdQsSEsPaYXYLOfBCKWmArJqa8S0+DX7r9kVWO5MC0nY69CUpHkvGqiJ7ZSK2bmD8cVMy977oWQB PT66j/3RnmQFbYSS4EiFaGfiFLAuZjNuevim6QVyh+l7SD8g7YJhM5rvXb2Bak5KFo0sw9mrMxwc HiCMaaKxXzn4HyMJRJszc8+NjGPULBRA6Dt4cNTFQf9Y3rsw93BxUok51u/4uDgnT40AfY10YeL9 jDea3sFeJ0RBcjRXpdEYqRXlaYWsKIUSQWHFzxrsSjQu9RiKadgE/i6jE+hQ+aGY7vU1nsLbsM1t s8LJhhS1+VRWANm6gW18qs3xsix4NmG+v+EpEJNQJ3s1cHfZtk1Da3bEc2LydJM3lJGYmAixj9oX /e3TqzGK46NrO6JJ9lhSnPFhFBSqZTGHkk1it2TbFsjqueAj3IVhzAkVRkoC1cybhZh5Uh6KZghN FLurN3qO9luY1m6FpJ4L85v3sKRXFvJUU4ymYyQmIO9nF9LG7Ei6GOYVLwXw3kbFEGFU+ljkczWz TO09NS2WiIGUyTI9XYbfLK9nOW02JpLXopCaF5eNptb3D9SrRjOt1hAcr9Y5oSZBoU+PaTonv2qB 6XiGg8MIx3fuYjTaMxqSRhPQOSAhO9Ss3VjNVMGnCPrrRkDhR2GpmB8DzDWgOBT2sxaBUPY8Uw0l uDxTD2S/P0An7nFrQSZaM+kj9DWqKSvQAYUCtCCImKBGawx8gvu2VFWFft/H4Z2O0D2yRYXQ97B/ GGF8kWI6yzDPc7x7sI+ow3AqBxeTObqdQAu6SsiYmvQMy5E4wn6IKjfCKGIUgs4dhV5dUNtSb9h8 Qi+tJ4LubbfKsspN7q5toPvryEzBotb0lqqVCkYDzJff2WPVebOkQTSewrdgG0pO9907wSqQLqqn 52EwGqHT6ylq1MTxaRiPXQQ8zpYgP7hzJClHtuFYjYfREsscw7yuA8Djbrrsi3r4cnGRq9mnOAfr zDE7JXdJoQ+YxUsMqmYtQS42FgRFhJJYSJNtwKS3MWOjuVjxe0d5T4KVCCBsUhUzKwPNtJocHjTH 8b7WKUDsYj5PBZWjACLju2IFSjuddleSKpSOpPolV4kL22PeJhMe054niTYgnidhO8azWJAnpQIu y3Nhn0cRbVGy1WdIJPuo5rlKywSLei4ChjSMvCBzP2iKXhD8XiQLTCfM98UYxUPJ/sBkf9ReSVqV BH7lQoKV2R8K7ZL6OQW9hBBpDS9iS8LtcnqKw+W6GdSOj4zB5gIV0AOp2OV8OhdhFcdd0eo4X6JB iwlPvIzvgK0jqM+R2jCfo5qnFIWqxfKIyGdZQhfOOZ0cFe4/6GExo5OlRjf2cfJ8Kqma6REkHsWz pwx6XuTYG3bEe8vvGZ5DPIsCLJJYQfWc+7En7zd5XcK7IqTBTcW8qAyEZszh28Ku6pY2ZTMZ7PIO 2uIOr9NWoEZxVi3xsfZ9m3vISavn2PZWTML1LAebtzXxU5Yr5DiIO6sl0lfbkiLReNP6muXSXou1 76Q2neyOrpA4syyVGqaC9YgmQ9NGg2Ilf1ZWIE0XUnzACZblsKzpqG5PLmY1N0TTYipfAa+1uo3n RQgd5gtPmpS8ForhQiWJgbFvRE/02hRY5NuQsKlJ88QMNLQDrQajoUt2HrkQpeJ0SAGqaYq3AeLE ycT8kHgc5T9pxLvFsrRRML148RzPnj2T/Ow2P/xsNhetgrmvyJEioXNvb4SDO/vo7PnqYmcuKa9r Frim06EQ4RiYLI+L8fzyTIpDPPvmG8SdCL3uQPLRsxApCZyqBTFzwwR5lcFh0kKPC1tjBnldhtVw nslo91lRmVopn53cj8xzguRh4wRxzWaTJyVevTgXLYgppfkeiP4spn5lSoxpqNSKEBcaiY+8oDnm IpLEh8DZJMc0IcNePZSzGbU0pcMQIOfnk8tMPmMF8LOzuWhRScbc8zRNS9HEWCCWnzMsR2gJxgYi ZYNCTkiiDN0hkTStDJalJqKE5+yIJX0TgqoyQqpt5Oxq656773rP5dpdjU+Uz63ZZ6racPyNYMNb Bt2XMmuVV2XDb5qafyuSeH1KrFdqmXd86XdwkCQL/M9f/4sQHCmhKFxY1PP05SngVRgMeyIE0gXj ubSCr+YU9/Hq5Uup3sKXZf9wpNkBeiOjJRkBQu3KeOC4POwizfIUkc8wk54sWNUYrIlI+oKtQmzN MROOIh/VstMzv7gC32ZeTKYIOwUUrtRISDwk6N6ew3aTeTGFQ0EBWlEbovFD5rlyrYgzWcyJ2tPz 59/iq6++VIY+g7QlKDcSbx7ni0Lr5PQFHucP8MHwXRE+sjsax0guJpqPXrDXmLNZsZB7Xo4v5b7U cB7cfyialS3oquW66BkjfjQU7ZZZLkqHYU1zg5G5wskizqVkXxv1QOGlXj51JvDZEOh3MZlmePHi VOI3Hz9+IkVwpaK1LVLLijlCkNX3ZulsUQcIvYeXs0oTz8UVxvMCr64yfPb1ApOkxt6oa0jFqvG/ PElw925HyKIUWF0+I4ZXVBChJGOV91w5VGwUTD1qa3xMwsUiL425yzxh0dNEZCMDno1J/Mh8t9d7 E60x+V5DUG1r1yUP2NWs47PtfbQAf/O7WS72mLZAexvuwrVCqm1v4fKO9mVZ5WetTtuqlrYEYNeP 4eJ6+fKllDsfX03Q7XRwcnoihT6P7hzg5NsTCcWgJyrPT6Uy8dGduzi+e1dMB5ozxEi4aHsDFijQ 3E18wUkUJBlUe6c7q6Y54aLLNIULMZGaQLqG4Ni4N/6wlJcmvWvxo0iqNF5Lxaz06k1+Jkkd7TVj o9fTLvZdpjYXLrEpqXHIvOQUAoYJL/0y2U8Z8Ht+di5C+6//+q+xSJJmnsMwECGu/CCYuoFjIXjG UVeyM3IGxIxj8sEix7BzhMiLTV9LfPnFF7i4PMfhwTGOnt7DoD8QHKn9jMnVokZK6cFwHt6TufCT fCaOCNYO7AZDDc9pBahbJ077vbAB2vyMaWLOz85wcLQvJijfrel0IimfB6MeCvpHOEesASlZVh15 5qLd05omNFDSu+eKgHp2muH8skDU76G752GR5BITeHGeqtaUMri9EPNPTD23ElyKm+GY+axamw5N QvL2bB4yCqsiU/yKmKTwr5JCJIgXaSrk+ZyafIVuJ9KN6A00q+HYqsyv2ySiyAgV/m5B9dvKEAvT tDlZ9np2b28hNo021hDK8eaaNX8bDWs9PYnVuFa1jvXhbCp+yxd0KV4tK/309FQ0q//8n38loPZ8 MUbg9ozrPoMfK6OYL4CUmmfYRVaJVsG6fyxHnxcpzl6dIOqG6HQ76mkr6Q3TvEuqZWlmiYZwSHyF JeZNkK9bZoj8SNz6NWMIDY2BL6vmWFh6FLQiNHlHmibZzo2kfiHeYh+SCA3VRK4zBzT0SDOdan55 mtemarRodUpeZb/zNMP5xTl6vT4ePXrcnN/OfbWMNlDsT+VELUKFcyrpYwhelwzFWaCuCqSzHM++ eiH3Y6HVp++OcHR4pIx528eqlM1hno2R5HNhqlc+tVI6JVIx6VmJOfbpKdU5a2gfLY/zel4ybh5X 40v86asvBPAma57Cl5riV199hc//+DkODvYxm88kvTNlN7VVhvHw3Pfeew9P3nmsnkYvxxfflBhP aiQ5NUSgzDOBEpjMgbc+PyPb3pPg58OjSL16joMFN6OS5xWSD00Io4KHkX2vBUZIX5C0Q8weSiyr wwT1NcpUayB6zKpqnvVikYkpqEHr36+1K+98n4VfrQkQg4DcOmsCmwg5YyDZfC0myUgjRNrJ9mqb I74VOP0m5LdQLTar5tjMoq3QiF1kNDlu3ezb5mFcvriXl1cisD76+APZPav6rmJVupdLuAj1bzHn GGDrxAg8eo10xMRraMYNDyKJMaNrmeBsbgQS8QwKKS5SrTRs+UgWY1I+FrMaqGvbcKokrYnx+Am/ Rr1e3GUtUbK9L8lL4LomZk+/ElY33eCGFLo8dtOpwWtSW6NQ0jqQkdQUZPNbXKwg9vHkyWMRJO18 X6ucK537qnYEr+KfUsaMYTWm2jL/68Q0uXzJfLCYppjP5qJN/fIv/hLD0Ug0J8Griky0XeZYh0cW O7lH9NRSyM6RVBPROHgtxhoK1wu5eB3Jv9s1ZjY++y+//AKL+VSE6p17B+j1BqJ51TRZjTf0yy// JEK/2+2JNm01yH6vryYwYzHDDg4GPqKnNPtUbaAB8NWrFL2OjwGDqxcO/umfL0BL9MmTAYZ7oaRu JoXm4nKB3Knw6N4+qkhZ6iSRSuwkNWVuPCy6YkzKuB9IwkKC717IeEHlgVHrmk3piNBSat8Hu2oW uREub0JDqddA8nb9QdvT6xya7fOtN9AsE/1eYk2Xxwhny4D9okCY8XxfeoN1nouXUOMEFbjcHhfY 4jCYri8Dmm3Ht2lg7Rs6ePz4kZhNBRYymMjTQhDaAkSOJtijJkBWM00l8Zy5nYZBXjMo1tvnshSx TxOQXhouaGYdEJ68E6PyqFlpIHN7GBpgTI5NgoihJKL1q0BTtZYRahECKell8121Tdzl/LTnKCup Gbrqqby2UrUlqQaq8Um+cZquhQD86SLHybMTRJ0QQRAJQdV688QjxQypTO5nVDstaUX6RCiamIbA aFJGLeAQSYUa5D680sezP31pCmswvXJfilPQXCRwLoVM00zKf1GbolDthMOGmsD5pLCPwp4IVstO F96Yqbpj52ZrlgyXQdQTjPZGOB4cSUAzMSqagi9Pz9AfDPBf/st/EcFGrY1jIe/v4uJchOiDBw8x GA6FnMwxxH6EaGhiQ2284UUqXs3Id/HZH6YifISI7PN6wP5RJLmu6Fg5HPXhdTxM5wtJ5tfvhUjp FeWxdN6wWjXTHkfqLWT1H8l35bFMWirZRvls4k6AwYCZG76bdiV0jPJ6j9+balXLKLJPp4FhjYln uVtWmzLIx0qHrQCxArDptnFQWPxL5PcbwLHstcRLKHl+JEXw9pqA+uuWz5q/l1rWRjaGllYQx+pd pDnEqihB3WnlutJiocow1+1FYs4YPwbl+/BpBqwiXMUS/CrFBNwSiyKRxUDTrapdAWIdFCidOWq/ ozFzVY7zb8fq0XNdpLMMh0esiDwTNd7mrwojeq8mUnKe2BkzkFpCoY5jczIpHPhC07ShSXhdMLhd zBSakcdQF5u91JXKNTR9ZGGPZxhfnqLbsyYXTZVMsD+mBab2ROFCLY+exIN7+/AjZmLwMcvPRcB0 /aGUeSd4/er8HF99+Uw8iacvX+C9j9/FqN9XLQEl0nQOVVQ9hMZDSI0izRZI8ykcBqgT6Peo9dKc ppms3LH1d2KF9d9kmlVz+eE796UgRa/LUmKswDM3vLUcvV5XGPXr1yIgTwEtgmodF202T11h9w4d LJIMv/1iDkc8jJXEEtIDSMzr048O8U//fIp+N8T944GahI4rf0eej4uFRnB0e4Fq20adkPAcpqpx aowvUzH/mXmCeJXw80Szxnc2dX6MQqa1/XdNH7FgurWu3HZ4jhFigolZMqkRXG7LTGyL7jeBu1vh 6dN04AOyeZTbLkwVYnrLJdt6aeath/FsixVc32k1ZEfNMcm5JKlOFHSWoqatYaomYigKJteWhsW4 rSyLmpNKc657wpznHViIwHEHYtbFfoY0v0I6KZAlGbqDDtJ5hrOTc7x8/gqHdw/lhUtmzEnC+LBS 8jN1+z2MAlPbb8f42MjUtoJfUryvBY9Lzi+Wqg+oVWXi+qebnxoVG7VANQ9dEXoPHj0RTZQkXHoD zWybzA/6vJR8SUM6EQC801FtkRgfBQ2zezJRIU05cqaGgwpJ8gfAGeLw3j7CAXGcC+TjueKGFc2o fQO0quZEL2KazlA49LCSyqCEWZtcUYUVzeVlU5oHYya1PH3zGSfGrTEY9pViQo6ayXkWdwd4+vTd FadOW0vzV4psMMU14xRrRIGLFxcZ/vRigaf3Yjw86uCg28HffzmF39nD+/sxfvu7c0RHAUYHDN9J ZVGVSY0FM1AMQszmKUaDDvYGXeGIUSOj4CKrPV+YMC6jNdBbOr5IRFvb2+vcSkjNZznCaDeRVKpL /0gl4nc1a8Y1AqlFGLUpkO1xKyi2IZe2A5+tRvcmSP+8hE+PlJZhMxTKBo+yi1R9qmrqrBHLNkrI W0B4M7NC+yWUOEGXRSH0ZedCZXI5yb/USvUiGJZLYF09gWQ8a+yestQl7RDDKlgJmP8K2JeJeSWc KgHg6SnjAhzh6UcdAY15znF1IMLs8XuPxMThPZNC6/TJImFgczzYIayWQjtZpDh5cYpvv/0ar169 wp07R2K20IRRrTISYUVKxp3juyIESMp8+uETuQTngovfBgDzfrbkFxPwreBh4rXTzArUblhogRoj q04ridfk9aKGyrgwqb9Ilr4r+M/jdx9ieKcjvCpqmJwH5pei5kBv36IaYxAdygpSegXgsAKO5ODS fhC81zLypCtorKZNgHhxcYk//vEzXF1eYjAY4uDgQBY1vcIUvOznq5evME/nePT4AfrDHu4cH4qW 6RoaSPvdWm8SVEUhhxxn8xKnZ8CzZwVeXab44k8z/Nn7fbnPeO7huM+cWCUWaS7ewDBycfYixf/4 zQkmswSP392XbA2B5+Ngj5kvXFxxM+uSvMrSa6pRaWI+vX+SaFLD0Z5NWHh9m9BkrCFE0l3CqkmA 8hNstaU0tApKCI5kY2xbeJg9ft0CfFN0NOUzUiC6ntn97K021XviOsQ8boqN2gzA3VJS3iw2m6dd yYSqXfBF1IBd/q2grupLKrDo3k7JXpctT8qZCtZEtz13bCGaGl+G8JpyguChIYQG8KIBvIpqvGVt FQhghUKNsNTcUxSKEq+21v+l99RpMdBryb5JD+iLkxc4OTnBcDSQ1MEEbU9OXqDb7crxyVepLO7z Vxd4+sGT5l6x35enr5evjIePmlFX06vYHFWmXL2kcK4zCU+iNhc5XaT5DImj9QjpueNWaEOU+O+s OsfoXiRB6wSynVDNUjpj2c+8WLCkt4Dp1Pg6zkAoHkKwlbAlZeMTc2OWCrtxNJlhEYt5HYWRjHc8 ucIf//hHwafuPbiLNMmFwnJ2/kq8u//8j/+Kp+++h0f3nirdYVtyx5XPxCgQod4JHNzdS7DXK9Hv uvj8TwHGYw//8acao6GLO0ddnJ8n+P3nFwhCFxcvE/x2foHTVzN8/WyCyq9x98lQhM6wH4uGRf9x ellIoDOzkdIz6Ej1G+6CkvZLOFjEq24lrMap4F+9QbTMT7+yVn4cM/A2zXoSGx6ATZNsagharEsj XwwGZsZT2ipY1+Tn+n4alkT8LoVLO5CVTcxFV80TWz+vucCa9mE1q5vUP2F4C9isurbkDxe+FPkw miNdd9O8KYAq3KWWS5/AqqSDEc8WdzKWpipNuIwmtxPTTCae4SFa/Zmxax5YGy9ELJkElmYtsRmG 72xzGKyna7HjHo/HMkd/+7//reFmMYYwl4R0BKj/8B9/QKcf4+hYNTouBGonFKTMyaU1+uhp05zx Nj7QpmoRtjidB5IRVLNxclyCeXkj1QzzuQhqjk3MQDHllWdGs5sFNDS8xdVy9j0GgxN419h3zjvN Lv57OX8hgopC1LP52JHI3LDKjg2HsvPAPqdFgtOLl4jjPvr9Hnr9HuIoxtXDKxGyg2FXwpnIsfrQ /UBNUNcT0F1TS29vbQFGPh1TVmvAtAle9knUrfH8NJM8Yk/fGeDrb6f49ttXUlzi6DAWgu6vf3uG 6fxc8E++y5/8/J5oXo+P9nD/aIiycnAxnovmNGOmhX2mheY7zzJiqrFO5+oJHDHHu2nzWYaryxR5 WorZt3/YEVOSwko8i50Az59fSXGLIfPT2/ViCoa+bYD9dZsYLAaHavO1VjyNW9a21b4kdtA04QE6 b1aDFNBdQllaO4DFrpY4lWbKJEGRIK8lRdq8Ttsm/bas2kYQ1CwO2tE0MaxT5wRiDvJfZaznqx5J 8SQmKJxcBFPB/7HibqUxhX5NQJgYmWbWFFOzopnIktxcrKyHR82RHq5Nwut6H1fHthxwkqayCJnD 6f6D+7JQKYS0zt9ChM7P/+pT44XUc0KnLyRLCk87fmqbLP6QlFcmiFvzVJGCkVaTJjaSTeaGQce1 L/eYFWP8f9y9Z5MjWZIkqE4ABweCZyQp3mxnW+Zm5mRnT2T/+X3flZOTk9ndaTrdXV1ZyYOCAw7A 3U9U7T3AgUBkZlUXyeo3k52VEYDD4cTcTE1NNV1NbDzE68mD+2D7uaK9FjPBZQSk0ZqKIXeeRUqf N/3hfsgfkFlMBMyKAebpWF06Ztf5IsAqpCEGH1qWofK8KFDOckwHCxRJioePHomBz+92/vCh9p/B NubAOB4qS+L/bQD7u9eDJ+Guf2aG9mv5mdF8hYvbFej2VY0rOOpGuB6scDGYYrxI9e1/9lkXnVYV f/5LX8GItvPNeo6L2zFqb6r4h394gPOTtnJQ+hEysyIw32pXbW5Qx5Jk1Zyj1sKgGHj4C+JSwz61 3wMcHdflkNTvzxTAZFnvOFuXV2OcnLREd/DD+6vdrtqPvCJvYOqoCir3dsT3fDb1rlXmYvEQMhuT q/N3+H1jA9ypCul5PutEcKtEJCmONwNBX6lhUoG0MBmZspLC+0hq3AHieSOHlLXNEFEWRYFm4hxY ViUJYj/XSN0eBrJUA8lS4wwzLPmajHgWzda5naUrFU3AzjSheKNT6aGPcd5Ep9r5Vl0Muhzzwm41 m+Iwach4Zp/JjxRh1RgqlkKTKU6WuU4mZVcS02EqqNZgA75+4JrGE5KdCSngV5S03QVXi5M0X/Ux XQ117rzeVLN6IEDfbN435Xy24qBwhHqzijjroR52MVncYhWQZGkW8poCcFIuQR5jNmaQobVYA63q oTAuLtFSJKa3kiGGOQhVcHR4iFaro+6qX9wPvs6+A5AWI/2bg9HMlpgVeV2rMhmWJevFxRthXx99 9DG63Y41KFxHs0Err3qB3/01w+A2w9lpBf/w6w5mixiHt4kwq+OTGmYjuhJVUK9FaATAX18NUG1W cP6wi0+eHKqjPJwxaPPcrWSIKpv5rFCgqtVjCfhxoJ0gOwNV/2amrrLPpvyiIcVowG1xF7T2xwAA IABJREFU1CfG9c0EJ8dNRHkg92tigctvaOrwQ6zYGZeWNa++I9hpTTD1bKDiuxt+3gyW2tOTyzO+ S4FF1AE7SSx7mNqTXmxmE3e/5n0UB94Y1pUs83YMuCXzm2M2hme5MZt1KeiDI5ULeJNlClwRZxJZ +IU5ZvnIxOlo8iAczHSOGBT4uXIypi2WlCQ41LtCQv2utwTa7Ta9BStKx9DQs9Nl18vKVwL6JkNX E39svmJ2ZNK6JKYWWVUzfXSuKbIxoorp2JuiZo5qQCxlhVVOpjqDBzuiVd9Ytowrm4gzxf/mHieR yRJrz5axsgT+zu+rlVC80zORHcmkz/ng4VjfqoplukIh2RTTdZftfZCh3W6pvCRGqIzOjyoFVLtg IOIoU1VBh85D8+pMFBPj9HFfF5YdatzI3qugrHPhdLvcYlBlEFcHMueYyxTDwVAUE3ob6v+cZpl9 do6jLvDf/rEm7X9u6+nrHC9fzdHq1OXO3L9KlRX97o83epg8fdNH77COxnGCLz6h1FGIycLURAm4 M/jEfnogDhBITcIOvWzgeE4WGY5Pm1uBqnxtd3rE+Qq8eTNCq5nQEBwhpWgiNpXwQa7Mje9s3+nf zRLTnr4DeoB/N9vUkfdzg4ZBbVjv5Vmw3ayIF3YcmcwJcRsRG0Va3O8N6LdhP7cAaf/n5ueUjvpB WeMmlQNeueVtQ8km60ILdxJKWdawjNTTX4O+G0E83iWrwrp25byO+xqFLMUqaMabG6i8djlVxPLS lJgPxzBcqu86ncQ6cmJNdHKWGSlJG3TlIWvfSKCzjPwzGoMaw50scpNIZqfP2jCVPMaqsNLPMC4b 6h6vbrBYDEVcrFCUL26jWAbW3WSwiM08gXIxxsJmdmUdXhqK2jnIMM+ugSqzanZaY9l4cXyFzYNa YpMFppBgYoV2NdhMH+cK/QCyFEBVpjGrBeaZdVnZYWUjhI5Mysi5RT7s4opTIN32mdSAdTEXvnZ7 OcLNzQ3S+QI/+8XPUGvymA1VpyyXzB4rCKMcHOWbzmO8eJNjlnIkidQFDsvHaHUqInn+9//xAq9e cubRMKZKO8Lnnx6iU69iovO4ciM5gbwFpTK6tAdBvUH7LlMFEdzvUqP75gRF/l3luLmZ6DVVzolW I+Fg3GalSV3+7zok/O1Lc4rMglyW9V3QD+6QYr+jYK2S1f6z1Dpfk0c9L8vfsP7jN8GIIxpUOeDJ MneV5dZ7iJf4QLM9BGupvaliErPiTWtsdl78cqxxulZej71cNvhFUDgQ8YMNrrmN9rjUkyVMwPnC UvDc7IMFKy6WnsSygHsCltNv98RS2aPTqcUFKzt61vonhYAlmrd2l4VCmIi/4yVj1pkPyaYV67pp vrGkXOoF/TZ7YJIrGrUhVyuqoRH3FBAn2VgBkQGHGSbPH4+LlCqY7TiFVwLqDCIa2SEzXIx5+0zu Y1jJkcQ1geo8ByzRrQzld7TshgGrrJtvonrsas6lO8YHw2w1RhSkKr95PAwLsnnMIA+Rkdxf2T6P 2s4yxuXlG7x+wS5rB8dnp2i0qV9GSIDZZh2vL3O8upmj2W5gtkpkKtE9DDB/PcOMTswJge5I3oO/ +d0lvvxqKIv6r1+PxLk6Pm2pFAyqEfpvJjg+akkSun1QR0rzVI7bcMSpHmO1yMRqR2pEXg9FqNx3 SPJaA22Z4fp6ItrD4UEddTanOF84WaLgfOEHGqy27Li+pTP0D7XWxNHNP7ns4pTbyHrv97ErdrOf bfsvESXnqYIY02sBuY7nJQ56znJh4sD1+lojyQdK/rwecU6N4PXUhnbLBhM+4ym1L6gkIOleDTKT eW5l474Ro+1OqJ4BKsnidZfTyzazPEuFPTHT0DgMzUUdo728iFcpUDnKg5WtVTc2sinTjGbAVJxU EZaHAyBsrwP2ppPkeW0ucOfEm0hZaOkPgXvPV5OgX75CjcGKvCt9jyWK9WyfwwA5auLcqusJS0lq ODEQFvqOtADzuvGub7xWvdh29nbf2bn6+EvHTEspsuf0pzTeYh3fIkhRoRchlVhLHWe+nsTbqzfX aDU6OHmQ4cGjE+P9MQi67DXPOBJDpxxInvrgkF3HFfK0QL0ZY5mRGJthmRZ4cznCX78aap8ubsZ6 5HRP6/j802M06wkmKTGwKsbDFMdnTaxSo/WwPK7WYl23HNlJFyvpsLVa5GbZg4pZ1O3tTEGLIDyz qdEoVQl4ctBEllpWS2JryNlCUkbE5SKRFh/cCj1V4QNfnmrhNN13ewL4Rqak5eVfQ4lkXpgqGTWf Rf9BFwhZEmWUtTUOlM2BmWDbdlZnQm/EMZQVOBDbIUqlnXOALSfEXCDZVaAok1otW7JZO7ORtwHq iFlZ6R0amwkrChYciF44iVzKlZSXydMst98bVhxHLFVQ9gRY/pxZWPm1AqYdLuf3lXOGomkoszJe GmVcJPfMsSOVvgzi3CaJnGaHRiKqSjIpKkxdoKd4nWGEzaRtdA+PCZJrFLJZwXLSTDXMZMIsujiU vdaW17G7362uzLMzl2pm4C0nzexmESvE0OjZl+lmp5gjuWpX15d4+PghHj05X8tYe/xvlYW46K9w u6jh4UccgLby6/Aw0cNyOODoTY50muHZV0M8f83OZIHzBy28eD3UkPPJcQsnvRbyOMC4v1CGnDRj rKbOIs4Z9ZpMQ4D+7UxgO7M4caezQmUlgxMNJljmXV6OrXvYqQsH5WuKOMBiniOkdDL5WH0bG2t1 SZf58CJDgJ/OEg/rLslzN7MqvWEHk3rrxjVS4ZjbCVUyF8J+CJTLWSdLkK6MJqFA5kqXMtZlO2m+ dXFA8igHczeDrqaCuttx9LjVprO4j4HvZZKZjREP4o1P1x6C74FTOd28llnASo0GBit2TN1W1zez ume5EUPtl36cyRQfvLSx9ts5rtii7LJlRWV6Bd9DO3ZTCjXSpGy9HG/OsioDv1n+MsgwmCxBrG4X NKCKK4fCbdzJQHEqWljJTA4WCbRYhVhSiKrqsRsbsGbJ540xjAZi7PbNKkEF2GxfpaZj7zNIM4gS X5PKQ84ZvyFevHwmk5JGs66b2gT71kcBeV7FeBphFdTRbMWYTFeo12NZ3RMfGo3Z/CFhNEFWz/A/ //clXl1O8NkXB5iNl1ITDZIAD47byp4uryYKQvMpzXJDhFVSFwoUK8uCipBejAt1AjudBDN5EuZo NKsyUuVqtWxCo0tuFTEg/liOM05LKwkFHczGKzTbZNlvdP1/7BWU//tvtJD/oVY5EpV8CcvlUnkF 93bL7ryyRCQVubNUNnFGjooMyrrYYWtSOdNJhyz5tHUmB5kjBu747RmmRdDTnI4zZ1ixcQm2zyfw rpuZssiy9PKY1WY/PUVgvmKpSedeZi1zc1l2Pn02wWcaU8tVDjIA2K5m8C0fSelouYxAw9sKMHZD Wzbi8Snqy7sSqzxMLXwodQHNOmh+WNiyP1NFsGDh7dOMh8bMz2vDe2kWjw3eNa6w/qVpe8WY5QOX VTCLZUOAWlEMWGYyYc1g4z+ZxjozUsPkWPVyRMhjdf7Ymp6XhN7dHEJ5NpD+f9Qtm6GCOiaTMZ5+ /aUeYufnD3F0eoAs3C79s1WA4aiCcVZTQ4G0AioicNRlOqZ0DjQjyPKT2Q0B9tvhHOeP2zjo1vD0 q7602j/66BCHB3RDIpZncjAdBR3qrzGzZZlPdx/zIWQZx2yKr2MG1enVpXfFMpDBSkx3N2PLcpos +OXSnfUAmI9pohqie1DTw/iDylDCTW3yt0oo/xDLD4d7Uusd5+fd5XGl9y0Hy+D2Rnpm8/HsRIm8 6EB5roh62pQ1YdeK+twiQW6CnwUgMo3JVC8QLROEcRWBWuj844KSe3qL/+QMN3XTKNP3eIg5PK/U XGBGZCqlvPFXMmpomnXY2pHEyleWEBZ0ywfTpHCYgWxsuQy43XQNTc1UTtbEodYHdtON9c0HAeph U6M3KhEFarssrvSpZLTLhsxRIixBdux4dfjoCB2ZEoIjwUhRIjMdq9lyRuKbAjpLXAaoVbQUhiWL s2zm5sb8mPrmoWZB1MxY08lcM3eUCGYDgD3RxWqB1WKCWqOOamMzGcEHCfdpMLlBvpzi1fNXUpP9 /POfSaEhDDWRuMbuuKbpCm9ul6h2GhqzUiCpRBjcLASuNzvWFCAf7vY2xe/+4xqNbhWPH3eQs2S7 nmBRZHj8qCuOFdnqrXaC8XAhEadVkAl3Y1a9zDOkDqfiPCHnAPkeZkej0RzzGfW4qqg6T0LTxmKW a3gVAXsGQwLvPqv6UFbg/hbX6icQpMrLo+deI+xOl3A7AdvMzelV6/mg+1kbdweitzO4vdkYxdOo QV4e9N2Z4ROWFdTlxEz/QTK3Qy8aFzIE83I38iWXaYvbk96YPBt7L2ZmzH5ocGA/3wQOcZFCSgyz OUCwl7rpC1Sa+2cp14C0bDZtwpFte5WBclh2+6SsiqYWVXHHiB2Vt2LZCpsME1MhdRIBRtJkQ6Ai AJvByhyht+kWQvAkNmjlJQO0H8fh/vVvbvDy2V+l1z6djXF0crguC6mr3um0UGvUZHSh5sWKpgu7 zZaN6SnTitHVHOk0dbbtFrBZ3lEG5/j0BPUnLYQlfXP+/vrNtUB2BsZf/PJXODo8UudyuhjrCK6y CmZphkVGC/oCV/0cDzrGAaTPIKWOedPVGnY+skWO/iDF//rtFUbTFT7/4hBHB3X84Q+XGIxS0SLO TzpKLRajTGVljd0/dpYXmVRFlxk/3x5a1HoniZTbJt9qOqWkT4ajQ5bMwIr4FDM60hicLAy7ibxN FixXm9SK/zCCVbCjbfVtkz3fo/qxRon8uJCoT2XO1fsB8Hf32pcp/lfbwWb7i6rR9o7CeV82p0AS 1GyYme17UimIPeibmLszsxazeKcfYbI2RN3FWzxwLAE6crfyxbaXIS2mSG50uj5BfLcruDkWxqI3 VdTN8bMyysxNvcuOSkapgZL/tO/qscBFprulwgSTU0zGM+MwMcMjQC5MyI4R8TSWQ9PxQkqbtPmy 4elcQD9HV/gtrt/c4uunz8Qipy7Z079+LdyQ5EzOQ7bbTZyen+DX//wruyFXJlgnR+P1yAWPL8mb UvqW4B7xMzLvPTbXaNVRqbYVGL3MziZLDNDp9PR5Zw/b6HY6zgMyx2SR4eo6xCJPMFtCEjLD/hKL VYGDBQ15yaqHAG1SFWQT74IVyaE0l/j0sx6Oj+qYTRd49WqskZvPf3mqko6lIXEpCiTSf5Cl3mJh 2dlwuUCdQ81BoDKQZRyZ68xKxdViR5NZc2KPQ34uyxRm4VR0ICF3PEr1PsIGHwxeFdjN7omh32ob vnR0c4E/FlNfAI3PsPYNPe9b90VYryRgYWVXums7IJYVSssg/u782J3PcI44PrtgRywiuLkikE89 91BYVBwT6CXnyMqsfXb3m71jVmIlqGFejiLpAg3xtJz+dPc8Mb0Q3zrHUUlmr+VnG8eMZRGFCk0F YT3AvPdQe87VZrRm2B/hD7/9s7qAvV5H3VZ+INUP2GVjZsrvf/nmWlpTZN+boWmgsZqz0wfKmFrt Dv71v/5XXNKdKCBBklIqDTSaNVxeXyro0wQE5Sl8dvvJJBfFwIIzcT5mEuQpccC5XmvoeOnBwDEU J0CYVGuYTadGAalaGc7Afnx0aqKEVWJtUz0sRpMIX70IMFnW0T2s4fS8pm1cXEzxH3/o4/p6jgdn TRlIzKfEPw2DvLlJ8cc/32A4XuDznx2i16uhWgnx9dUUzyjWGAGffnSIsBKp4yc3ZgYZR9BlsOHf 5GLR5n5wOxPNgdcfJwamM56HALWEpFuaUWieAgVNKZz8DP94N51ag6TWDyNaBSU4Rnfft9gtzRGH nKawbcgYz1nZ/5Brbc5KCobbtXe+6W2dQQ/08mblU3ULcSnNAJbnFLk9jmC8fv1aYyDMYIhpECfy NlNkkm9m0yyQqFPI9/uxHY6I80GeEdQlYG/EUyoM7A9W21kQQeDNvsoeYj1eo4AkftE9Kb7DjmRy wQFtkTY3ml7WKOBsYYSKHIs3pdy+/dnNcDXSwrk2ejJmVACwrp66lnN2WI3nMxyOMJ/PMZ107PdZ ruZALamLX8XAe/7wAVrtpqgDojzQDYjlcrHEgydH646gX2S6k4wqHpUkJG16IEKC+XgmN29+DrMQ lkAMgP6BI6yyMsIiXeLgtIPOcQuoWLDjwHSUGE2F7bXZPMB/fBWhSJr45Iu2gPXJmGoOnPqKcHhU 07/HDQofUkefGCFJmSv85a99DMYLfPLZAbo96pdVMB6nuLiY4Op2ioOjhko5mps2WlUs5pxDrChr XMxXAtZ5fAW+06VbEseBqAvsCvNUtOrEAwMLUnTOWVl2JdzO+RTOp0t1IO39P/4KSiaqXiO+bBTx vtsgzNmqALXIDW17mZkfKGKtaZZOTFBlrXbOTye+Y5UDz3oukOJ66hhZ3U82tCbxlWn5ruLdMpOv HQ76+P3vfqsShRc7zUAPDg5QqfJmS/Dg/FzDr/YuztXRddlkZNi9IxdpzcrK2LoP5WgsG697v0/w jp9b69/XzLs0i+137OJzVpLuvsqTL4lgSQjgzpVzl5xL7tp0tFCA+PxnnwlPYhCSIQXIxM7Xn/f6 5RtlcMyQtM9BhqRmxq/NWketdpZ+PDc8LzpXLH+ltrBRdvCPYX7/tR4YS+/M2OaUy0FUSM+Kr2Sj hOeNAHtGh2vZ2busmaB5xEHhihvVWSALyB8zqSAuNon/9FWBy2GIf/qXNob9BUajhYHdNHoIAzx6 SCOKYv2HoDcZ5C9ejXE7SvHgUVvlG70A+Tva0FP3ihSE827XSjaRQpkRsuNqYzQasclIZF+JV8Us iUA5S0CC7Bx2pk09bej5vdgNTGmaSjw1sTJQDYvZUh1Br8jwIa3AqzF8iwDDw8ORyUQSo5yl5HXs ZlZ/gOVLT2ltOUMLU5PYUQzdrDLY7l9zVzpG5YC0muzCl324yqDNDb97HvkzCsmxI8gOETObm9tb 1Ot1ZVTD4UD0h+PjjayK7ZHnAdlNlSkQboZ8xbAOrdNl5MNvvqw1b645vND9TbtV6frv7vhgb1vC whyOZQO/07dQR0q/KEIs3cTs2aNjVNwNwbKKc4kKWqRc5Cm6Bx3ERU3HjwwKjRu5ZgKzzYSdT6lE zNflprIrR1jdt8T0V0aYI2SQzOt6WFA1odmOhVVtfAb33xTM3kxKhrORpKGk6+NFP8FXlzm+fhPh 489NW56+gb2DRNmSGPBprsCchU7tIM0wHCzw6s0Y/UmK04ctPDjne1n+RrKfJwZFPIt4Va3CzC9D 5Eo6Djmr/F+Ru8ZmDTAdLXF42BAG1WgGmExNdZQifsSqZMqrgXe6PUdyzPGBivvDU8a5ww+lFCxT AUix8K7M3zSWroMdOG5FVZEASxNq+cEyK7/P+W6GZXu4e9Xd7QRuOoC+pDLMxRfK1mGjxpSzzNJm fSDcgMw84a9fvRYe88mnn6LdamFMMwjKtESRgGYSIYmxWAlk4ykGnhvHimVYOYvy5VO+NBndlZQZ Ntwy3/r3/963fKfNuxeLu0TcYu9MhQP43xIYLcBat5I5lgH5VeTBfOtV+97Jcrh30JFGO1UvN5NS MkRTSSy6RFgIO+EwtTC7PaROH3w8U93GhVyjZN834zY0CWAHToavfEBkpDwQ2HLBUAKKjnpRui78 OBLLP35nA+tNVda/ZjaL8Ps/rdA77uD8nDpiLCNDCeZJg4rB2vHVWHYO+nPcXM/w/NUYaZbj0y96 ePSko9cwOMVxIKnkwSDVfrd7iQT0mF2G8wwHPScKmRVmxRZadkXwnTxAfrZwmnQlDSux2zVeE2A5 s042g5Ukgeb0jPSdxIqwsQ9tFaUEQ/Pa3yKe8iqaZyEobf9DSuN4q3uutQCgC0/rgOVn3MrZ1t05 PAs8+1JfG0WhlbtRu/xFvHY02bk5RuMxDg96ePCQom6QDvru8qqjZoZqgncmobwfTOd3MEPUu8FM WdKdDHL73/IEJI9LIZ0qFMU6aN05qK4LeF+GstmjTbbCzIhOz1nELOdtZ99Gh3gzJAFlijcBbmPI 4btvJs+SS6rY3KTLF6eNH3kWflYabHr71Wd8Lo7YGGWD0sxLZmfqHNr5jkF1DTtH3iSEn89/G9bI KQLOSNo5Kx8VdheHoxSHD42iO5mYJhupBVNiWFGAOi24xku8eDHCxdUUw+kCUS3CZ4+7ePSorWxb lJhKhOl8KTrCaGzZFaVkSDCVPRc16lcEyzd4yCKjU1C2LgfJZJ9MFiKGUv0jW1COh8HSHoTVpjMM WTHrs/KRAfFDJzUV/oH9Dd5jQpD2XgarxQ8ItMs2zP0pG174/5Av4e6gsyVbd8dw9vGkbBTDZEgM cN4FkLexGV9qnZ8/QNNpnftt78OK1hgZ9ZecfPHeYEVsgfIqJPaxVCzhZr7a3a16dbu73fQuzBuV BHbJ6DbsMsjyd3dmCHwM29ycz/62lw8UAYd4PZ2joEceGfUlv8T7Oq9u3vG+tfXcIMlTu7o5n8YJ o/MQx3IS6VNt9nP7Ei4ff8+YrzjzCbLclWk5XXPJT/PBEJp4oGSsNd+4VLfWHhrE8viAsaFwY28Z z+pmCDz9ig8i2tMvFaz6tykOemYcIdusOMDFm5noCUMaZkQBPvq0h5OzJtptG0ZmF5OcKn7dwYjy NBnSVY7eQR3jpT3gPNNcD58V5yk5qB+ifz3DwUFDhNB6o6qOILMtBiw2E3iY+Dpf9nnckZ/LRWb8 hx6s/GIvRITRb7C/vBIYqFQG4ofNCnnGBPDveY3SIR8nNvflRn5le3N38S5esDRL0I21zqz89krD xm4bHoCnP56Czx7T0U0wtFEPlRWu1JGmuGOuq9O0kyUJfxJPaPN110zwew4UyzYqAMgYw4NVjPJU vC/u0hgs66OGVN11Gt1n+Q9wtlDiVzKrkVqe/ZJP7FiEzLcvo3Hwank/LG7NhSt9Sw+e2y757Go/ 6Xf3YWEDy6kT5NNQjgbBizh3bsgZspDUiupaO17lcSm75XljoJykNA8xWe0/Ps3xlz+vkC4jnD9p o9GIpMvOGU2pfrBxs8jx9PkIry8nKocPT+vq+HW6NTHTGWT4Hs4UsrwbUW89K/Q3E8xet4Z0YN9X +mCySDMHZx2rKBAjncGXmRyDz+VVisePe8azohmHG15moBP9wZ9a1wn9kDCrdy3fJXzfwpWXAgMV 1w/Ju/KXoLhj9+hoOR6WqURul3pvOyElYqjr3tmPNsFvsxNv4UG9RweDAcT03o22IKnjoOrInt6U oLzXodOCNxOGdy0bh6mbJ2J5uFtcL5Yom22MBiMxxkUyjYxrpKbDKhWWJE10TuxzdIOjNRzXWGXK fA7O2qJMcJSD0sJbxygHpkNqwFuU483Am0mKm64zyxvFuz+zVLEydav281srYUlWSptWvlg0pZcb b8zPA+7PDm3oOSLFww2KK/CTl5OZlPEqMPoISa6+0aHxJ5J8qYmFCkbTDP1xjsk8x//3bzM8+aiH T07qCgZHR4kCfLdbFWVhOl7iT3/p4/Jmit5BDb2jujKmVqeq3SftwcsXV5wD9nhKKSNgOl3KpZmB 7Xoys0yNbtluxEjXImVvdH6M6Z7UOQZlXUBJgNMtxyHObHqQb5XULGBZVlcoaH5oHcF3LZVY36A0 /DEIokqY7tRk22vNdN8QOPnj3YzHD+xuKA2bER2Pf5XLxk1GtfnZdvZkn/EWs9VSGUppFd0sLqNy yFD5q7qfC3lBofEUZgf+d/u/vt1YdDHm6+++xjwNF4gzcoKq6mzeXDFgFUiSBKNiLOIqP0Oa9zEb BmZ+uphz1IP8npU6fN2TloKat98q7wPZ1m+eXpmKRRRqVEY4j1jTdpVRjpqfwU5V+7CpP1vfZa3q Wkr0nGWacC2m2EsqCFBGuI04Mtsu70Kj1yveFFZWe6MJpeYsr6y0NL9CU47woK7NRW4/xDbNiwC1 Cs0gpuhPCnz8yQF+8asDTCZLzKYk5UbCrBrNUKTQ3/3xGvNlhoeP28Kh2p2aPAUZUKiwwM9jZsWR Gq7hxM4zt0cci2VercngZx4Ewi7X7gj2MCCexcVmBbt9ZM6vKSxOSUPqo4vcKYm4cpDlMIHfDxBk f9cSd8x3DT/AtUbIHUpzX6pR4mG9a8C5fON7a3v/832v22Rbu8PQe7e+E7S2t+iDlMdXrAgxAHXj JK1RnGKGSDbqNkD81geFNNOpV77R0No+DsxsOB5i2k1kkj/+9NxkjOOaM24gerMwjVmHe3FxBMSv pFF12Nq+2BmgGjdksmoBZmmgtrO8Z1ZFbI4scgXkCMrsvJaXD9T8WyfbS96unxGSM9TvB5djpCRm 3iyEzVTICJQ+ipU6nBSw3CrHg4+PLbtzR1CznErXnTEIY6DziPT6VfY6p6kVVHHdpzQL8KenMwxn wCc/O8D5o4YCD0dsOFDOrCWpRhhcp3j6YoRnLyd4/LiNQ5aAB1YCMnikc8ukGw0SWi1YjecL8a2C LMD1rbl206orqkQC0eWXQnIrKRzMoKrE1IjD2bXIWUGaSnQPWIpa+ecvX5W9zHJpWe+WBsg1DvXh KDC8z9qoaXy4yzfxdQ3vGLSWl0B3vUHfalv6ZGuDpSxp8xFcnli5/fuyxPJ2VvWWwLQjJ+PnE20+ 0DwLNfoidVBqQJEMySeslTvSg+IAc2gaUxyUfpvgHLfD7pUkU/ZgaAwa1QpJrdappHZS+6i9lkNm PkcelMnD2I2sP3mGRncDbgvv4LHwN8T6N4Hwvziu4+xhQ2qgBOkX2WQzmymwm3OUybps1RM/NAUL z1jX/scZ3cwoY0hkbf3UYllGza+kkmKWcVyIeJFRQFjGcuyHDjWUHmZwzBR87aHjcURPJOWDQHLN WNj+rugyYKXieBaLuU7gfLGY49mrOa5vV2h2a/jlr4/RPahiMqKBh9lmtVoVZX0x/f9MAAAgAElE QVR//PM1nj0fS0r4H//lDJ1uYviUC1bkZ/Fv8p2IWfFLUSGW6gt8FF9eTXE7mOH4uKXxGaolsCwc DObGRmfAW9AWzDqCzIDZSWQA8riWv16ZVesB6yzkPValcpABjBSTn4KIVGn5rOpHqPLurPvrnZ39 vEss0Ir3sde5ZtMZrl5fqHxodYzYZx06O7sb0wm/5fKulC8Cd+GX5IfvA9n9YqZB8qNnjZuyptlJ 5ZREcT+nOoNtwEus+Fm81FlIbfZHLOw9A8c+u9obpHUQ2aY3GRnTJq9uBVTeuPJN1PZZNsUazt4S 8/PvyAvhT+vj42gY+m4RFT9jxEWMimPqe1MQY8lbieV5aQy0DJgaRwrYrawo6zNKhmU94k9RLE9k zQK9owM02k3JK6+/o25OGobWpVHG+pdZqpV5josmyeSNWmzgAHZ2Cblpms+KjjAqkAUx5ssV/v0P EyxXIT79+SGOTmrKotgJZJBqNCsY3bJkJtO9L+/AeqeCL35+iPNHLZXSPFbEs1Q21iIFKwru6QHG bHFMMUCC5xmevxyKt9Zs11RCkoNn8sXmK9hIYoxnmbIxZsrifEWRaA0MPhzL8YC/Dh/Z+js2L+Rq SW32A5KN2bf23ef+q1g5hR9l+WLMBNitJeYgxXXFXq7e74lXu6M527QFjcvc3uLrL79GUq8KQOas 33yeotPr4uTsBM02JXD9LjkMRUFpfxDbap/v0CW2cCtlLOZ047cjLg/pFi4QyBtPDskkJ1p4Ml6S ERsZ0Hx3zJQ7nQheqbzkuEql4MB0WVqZN0yG+WKO2WKGSmJllXUfGbA4P7iQJZdlf6YjrwFsF1Tu Lt4E7EptVE/5x4a06XAdO/MNC4YMjNwXT2K1LqfHqQxEN/6TlcZ0vCYTnaeUhhP0aZT4tABmk76p xk20qnS9NqDZL+5/p9K0G5YKroUvg3gTM1C6IF3KlD1XjFeYmgh5JAXZ56/mmM5zpMsAH33WweOP WhqluXgzlTb6qL9U8CF3iuM1f/myj0o9xuc/P8KDh00b7RE5k9lbgXbXymmC54IxHYWBQaYWV/D0 goavK5ycdtBoVzGcmMEpBfuoLPrypWm7N5JI72s3Ekk0N2sVySBTX4uzg+Rsrc+/9Ng2DkveEUcg /j2uOR/KClwAKJu1rqGZH3HXvdLDpvJyWFUpYPkApkLknnRwQxzd8iY0o4VOr62Un4GKTzACyPxd vV4zmWB90AZwLQP32/ODd0d67HP873ayLaljmiAcP2NNTFx/nv29Lnfiup6qvIFoscV3m4M0ewqc Y0tdKWOl2/Z+GfB89+dWwmm6n09lBT7n6KwSbJfAavkWszE++fdRCLyW/May0uVPcrcm54uWMvbh pBSwP6fylnSCtS2alV8czuZLybW3pogFzZyZnZvp49a1P8qeN7OddxbbyFQbpeKCI6X6hoTnmQlk F1mWXUcb2fHXih4QeYTxlDIxhXSsPvm8i7Nzjrws9ef4pC66Qsgh4TDC69sJ/u1/vdGA9flHbTx8 1NanMqMik5yHquOClY+N/MKTOaW2bYh5cJPi9RsbmG93mV3m6LRZTpp8TCKxyFCNioqsyAIM2HTg TCbZ8X7omeYWpDmwQ8hSkTpXTlpH58hRr31p/yGv3DVdJERbClrflDz6vTpMuyvRs3s8WRR32nV3 l2YJTdt7O/shltE56Om/e4eHliYLCduUj8QCtqWM32b7vn3zbkvLuJlEBRaTA6ZbjjemED7kbtdN meda93K8oRaRgazKMuSeQ39AkwROIhI1V1gsZ1hk1qqnPRnLwVpEhr05JK8zL9fmLoIQtToVBsg0 tyyNNVAJvbtzQK1UvBukfdld/ga77xR4ve6ccjuGh3GY28wnnB6Vow/cGcPxPBZpWDm7L0cFqdEM wgnw2cSNt67KpTDqybnlvZFwoAuu6wDlcCxj7zOQ8VgFuBnleP4qw3ga4ORhU4Hm8mKuEvDomCKI 7PLl6HYquOrP8Ps/XqEWx6i2K3j8UReDW8r7cDwnkuoBAXGWdOtgpaexKXpaqR7h9cUE0xmzq7pU O5jBset4c2uaY4QB6I5zdNDA9fUU3W6ioDYapzZrGMW4pVs3FW85vE1srUWDCZqm5hpydhcrfkqr cNediL7eYoC4n+8U/giZFveHaIiCqdsfNTrM88PY7aVs8N6AVTZn8CTBjSa7JWAb7bryZuwklnW0 NpnVpsS0buKma+gD4+4yHnTu7L9cei7GtCl1SmVgD/fVrOwNxzHFUWvJm+HDwvCZsGNcsRgYr27l SGPzcXTkHbsboKbZOB4LZpKz+Uzt7lVo83nl77/537LX4b6TVPqevlTeyzD3IPfuMdkIEq47r3fO gz8bYpTZ8Q4N4yNIz6vCD6TvAzz9sLdoI3d+t8kK7eHB7l/iSmAGOQol1jDPY7y4WuLyZoEnn/Tw 8Wdt3F5zmDgWK51SMCSAdrsVsda/fjEUiLEoCjw+aynzYunHeUArx0pKqv4CjqBgRV0rCuqRc3V1 MzVp5koge3oGnqubVAJ9vnxjqUcci7+rHcQ4jZr4ajYQBaJeZSCP0B/Pza5+QRdxs3MjDy6htoq/ xl2Z9VNZ2Z5LyinpvDeB9Lte5VSDAwPKtlTBOCzL7fd6fvDtzs+2qe17bzdA3b2p/BDyBpgtv35D cSjzsHZHfCzD4vwZSxI/D8eyJ5Fcsckcs9xKnX7VRnfKyhOXvRQs1Sj763/mb29mT8aYT6I6ZquR yh1znc5RjVq6ET0jmkYMUQIsg8lbZgX3NQze1gMpUw1K79hyxL4/9yol92v9eI93+eKSyp/+Mxh4 JfOjDNV+uA5A93ybYocMbKV1ui43xa2iSoSb76yFbeR5HS9eLfGXP89xdNzE449bKscortdqV6RB VUlodBFpBu/3f77W39RPP33cwslpA+1O1UrYfUm5r6A1mGzUhno1xsXroWb/2BUkiZSLZiHMpij1 wjePxwu8eD5SxtnrNjQnGlYynJ61VUrKRUi0kgjzdCkgP2kSO9y+3NdVwNvupA9sFev/+eEJof74 vS0vDUpMdh5Wn/XtNNL3E0f386nWH7/1MbugOUsJA77N+mgfB+tdDVXDhsZOIoa3BLtOJqbmFTz5 c11eFJVj8OGQMsHnbGA3VEDMKpTgnDXXJDyFethxap8LBcJ63F13zbhVBitZxbtdpJXXdDZCrWsZ p/9sPWHfOSZz/ynaNA9Kd+D6+O7LuraPmZExzdbez2xaprNaB3SSXPndpZLgXGsMqLfP8R3a7c/i 0SQQTUoIzScYXGoaZJcMENgUsKBILJBD0BYkbfbyegRcXpI7FuPJJx2VZTc31Ig3oJ4UhiYdwANo vu/meq7sqtFN8OhxB53eftKuMlJnnyXOF6+1zJxyeFpIWWCAYlDkEDKB94MDG3hmJnZ1NdEQ8wFl cLiZLMBqxjGpXEoO41mK0e0C3UaCVq2qjGs4NlC+0tzeJ19F/FjywN/lKhxe5PGk72P7wqRK5Wfw jikXZlsa2X1npFjTGnaf7vu4VXazeTDdOmy8gGkgap0iwZiKFptZxG0jit2d3ngh8gaJC2qd0+Lc 2WKVsjE5Osuy3LIGESXd8LLQnpyAdYQoizDpz1BpmkpBGlFuZIHxeIhqkkips9II5ZgiBc/KRHA6 2/pmLJCh3iLniM7MvOmcEanLxsog+zeDMe92Yu34bI7F5md7AHupl7oB47XOFjOeiiuLTYwvzIn9 MEBsTDM2LPi7VBLLaG0elCNKZQkYloIxzFORXdFCwcobUXDlaCUJ0nmORqeCRivGs69H4iqdPahj MlihTVkX9kOSAK/eTHB5MUW7V8MvPuri6ITyQXsOlcetOALkYjsDEjt1tIGfp5nsvFjycXCZZaK4 W7WKsi5mVoe9pgJjmEQakdo9FccnLYxGN1iRMIsIHTrlTBe4HU5xSkItXNPF3dWmjWZZ1j71jp/S WvjRV0qCBd8PVqXSjvcmZ2fD7c/hz3125fW6yg2Ct62SCcU2w9v+vSmEN4HN7ZjKMgYPs5NaFlOE YWvNa9pXDvrlGdzlIWfJkJSEAjfiXUYGnWVDBSVr/Ru2Q2G6etSWldVsNUBaTFHJ6NrbRzAs0L8Z 6onKBkK1VsXwZoRGq4mcCppBgdlkbgoPUYx/+q//ouZD5jAS8pdk+64DTIliWp4Xb+l6vkc5uOf3 u0Gl9BuH7Fl57IOYpzMw02JZ68dl1ECI22KfV6gM6izAyuf1bnZVGoHaUYWwjqDpfSm7CxPnWM3O JQ1O6d4c4i/Pp7jsr3D+EYfHrdvI4EH+QaNNB5lQdvJ8/W9+eyU3nCdPaEnfeLt1O7OA0u+ZTYkH VYlwcTNdk0kpTcwAQt19ZlbUYu806ToUIGxwVCrDdDhXwOPQ9EbGmZpjIeJ6jGLGwMzuILXuMyd5 XMVynq1lZTijyI45P4Ms+r+HVXyP22ZMl+0vg5PrJakRINcqew2vFz/lxHPtJZjflsnusOC2b8gy mXSbhW50AN/izpA5oqa1zr0Pn7dD37fuYil3g5okl3MzODBcxbIrmUTQFy8nIzx3wYVa3xHyeK4M iu89OOlojo9zeDRnqLUStJsd6Z9Xq4nY4ss5A5p1OykMx+CVxKbCINA/t0aADQ+X9naH/PqubMvC zf1BbT8WZgPKzDpZIvM7S5zQ4X3cJwZ6jcIUFRsnKXXz3rZ2MzqvrWXZJDPNFIti6jhYpm/F3aqG NWVjRC778xyvbqbIgwC9gypurlMFFW6HlIPeYYJsXiBKAvRHqbhYxLlOTmmWcQ8Bk90jNmOdUhEP y2g8x+1gjsNeXeM8MwWmlTqRLBNJY+DrpN2eVEUFoafhzdcjvYa/J5H0+JgGrNRrz2XHRaCeLs+D 5RxREaBVreiGuR3OcBrH+l4+yyIuJ9edNMOqSpfon3aWFewAE9/l8nwrPpAYlMiA8oGoDKqUA5Ov 5ZiNrd4StHaumnL5t/NEpu+aM2yQc0o2UeCoRHVT0SS6IZyIN9UKc4qwIUKzySFd2w5NJ9I0lW67 DBTWj1jP3drW39IOsjMV91wp5MpD57mXynUlRVg4E1MXaDvHTZUB1tp3M3BBhNYR2eERmqihHhll wy9+Jo0iwsQoEMTmGCg9E33fEndLRhXvflaVEJHtn+9l+wc76p9WKvtS0LsvSkV0C4C/fz/KEwa7 n2eGsJOSLVkoHpjXsvL9SZ+F8Z2rPMBXb2b407MxHj7q4eCops4aJYw5zEzowHonVHegscNClvCf fX4gftXWvuVbJt0KVkQe2K0bDFMMR3OcnbZQo9nFLFeHMF1kqDcMW2SmxJ/VK0aJubhmth/gwUNT JL29nmE6MvUGqj602LmcLfVzZYVxgAYJpXSFlrVahtF4hm63IYegpF1ZD0uzLJ1R6K/LjjJ+sism 5cEhD9+1A7ToCnzMuXJQZaKjbTIQlTW25HHgTr0f0H7bvsT3ZTzeTGBDcOSW6To8Q1pQCM6xsFWv WtdIYLZwjwS/+fffqORqtVp48+aNSq/RiPhGVTN6tJx69Ojx3ha/ghOpDKoJ7BuYX9+GqGldsNjo DJJJMRCdvCW1xtcHjwqiLKOc0kNgMs53SzhK0gHpdIoiXCCjqdF6rGjTKdIMoezk7fsTzDeLsN1D uw6h68xqJ4dc43S+k2ejSNtNCst2TDM/WlvN2w2vTqdTaFhv8x130R0w39X6ZLQzc+NI1M477gTZ ZZ7jZszyqBBgTT9EPnuubxcY9FM8OKdTDa+HqgSU+f8vXo5xcFxHp1NTV48BSkHKNA3XQcqvVWZ8 KWqsn5+1VQpqLIeKnx6h5fmNadOVCb/idcDsiKM/zJqHt3NlfAymzI420j/QkPTBIXXp7UMXsxVS qkGsgOEsFSueuu5htWKD4s4Rh5kVP0+yyiWT2J/aWpYanj5wKRv6hkJ/9y1PEF3jZd7fsORzKCPa ncbruxob69Gc8oXsZ9jKwWKVz1QWSJTNORP7cRSWJQEldMW0zvUkrSUNpPMFbm5ulEnR7ffw8BCr 1Qoff/wx0rRk275epsJAU4uwsBJIMr25+RHy56JRFDnSwG4s7kMVTiLGXfFK3IISGZOt68jkWBj0 rCu4c2T0pGXhTRB77jSrzGfPxpQcY1xPBAL6NtO3INgf5rJ92uB7RgvgPjGQs/vGwHrfCnKyypmp MgDlWHCWT8Fnc1TEKQsKEWPZEGAWtGZllTAq7S+5V2WM0O1Y2fdxLSmzHmMybfbyuVgjmu61eogJ dF9gMsvw9HmKWQqVVsslaQRLHB1bQIqOqTIRgDGY5M7f/v4aP/vFEW5vZnh01gSaIXJTn3Gf4dRM 2ZnMaEpix+DBKaVwPE/QAhn/EAIg3sRrlcPNYRFgwfcTz5wyU1zJ9Samttg0w4odaIr5+WHm+VLB q9qIESWR3JvpEh2ueK1mUoK4GcxwchQhXwCZVFBJoaiYtdfMStJ3mQL/FFbhTrTv7uk2CL5lGViy F1Ng8tZgJRoDf08LMX6OFwp831UazbEb0L4Bf2Dsb8mneLwkZLvb1EWNmGmERg4kc/Giue2PMbya 4le/+hUajeZ26eGIqV4s8C4nyyzmk7AlpntaTIBsvKFJFObJJz0qZTqmkMDFYEo2tXS+S9vUnJ7m B22OsBJZVrK73C2NlPpX9BGMqMYQYxFswHZidKRO8IY141iT3d1gfRbUzJ6ebP3ZOjPlGdxMp20C CW8a+veFldomuJXLNo9Wium9QgbK5/A72cyipy2QFS8nHA5YO8nG8nHw2BaxR+uy2mbJ/PfBSS5A btTHdOIdrYOcuDW73YxgSQj99a9rQFxFo1URfnV8UpOJRDrN0GizmWG+fRevpwo6pydNHJJ6QKC7 lJxwe8ykKNpHfIpzhuRTdTt3y64yl4yBiiaoxJeYXU1YKrJj2OF1qh6ySQG1TKVW34XZ93p4DUgn Vhkwc6rUI1RJluY1dlug35+Jdd9p1rGaFijqkaRrapRUHi80I0ks7O8haPllDwXLen3wedu3W88E OjqD3NIdg51r3Wsqtt/DQPVtaCIxL2CvPOnNDkgxYKBi0PBKlTJJLQhymmCdfREjFgpcd2CtVAXk 8muGAtsYzd0UejsLcFbtIiZu/OvsO3sDiiWqUUMjNdx3AsNmzGDpvtQQSpkOsy6aifqRn7dxnaoi Frb0NJaogoIN6xU3CsNhlDIXyw9zarMbKgJvfFPg3M6qeFMZp4tdztJ2OUoUcpRoKWmY8tkty0Qr 0OhBwbBC/0caf5guPuVWVKLnlnGQ2W03kg1uM0PmVhkQEzQFnJvBRK4ur4HtliGzfNbspBtXIulW T0gSU5EhCnPUyXFqJ1jGzEj53UgNoeIqFKyIK+WczYuAZy+G+OzTLkI6UDNY7SCn7ACS/f7x4x6a jY3+1O7icWZgoX0XqQzsODIb4s4x21q4Mo1cHWp9MXiTuJqPSSa2a5YZVUKiqbtG6B6+nK6wnFA+ KFRg5RA1Mw0+HIeDuS6DdruOjMRVqulUjaxK8T8aX3B7fw9BK3S3Tr5DO2CmdN/XW5urugYJr2jq VDJ74qkRkM7yr/TsLQe0b7pigaOqJ6nDRFkRA7X9M3ddDpD349jPtmRFo0DAwMZAwhLo7OQcD0/v tn13VUT3ZTkmK8Mgue3aLKIosymWRK6N781AbWjb0S9K1AGpkLP0E0Ob9IT364lETuGUBzjWIPW7 zCO3cTArmfbnuTxWSUR1iwjXqxDVYIAkYseJN15qVuokxFIoLqBmfFDSmzfVVQsk5GM54wsK+60p 9GYmS2CYfKFIuuymXuo7ujxvpH/ocyg9mFnA9+/nA4fHVDr1MmV1ShdkI7OGC2kousCzF0u8uZnj 6GETST3EbDhGDLLEY6zmBKhZShWYrwrcXAzw5DxGPhwh79F5uYqw4hUgTKqYM4BvC1Z+8XWtdiKM inpYDBjU1FrmmQ0yxzyGAeZjywSld8V2esRRnUAaYIPxzL6bf8zkpoul70iKRBLJKZp/X16N0R/M dEwPqfLKIDnJNFAtwupsCVbwtb+DoBU65QSmFb6r56+M++6e9TF0uvEKWjaf7ziSm0yKPyLs58ml 32Y5I1V7jpre1FIX8aacsC1rRCMnE51dJHtCZSteLEwfvfaqsauJV9ksopOodWWaD1TEsQjC+y6h 11C3ksSGdQPKEy+WAu6rcR1VqkXykOQxJssJRvkY9dgs7hlsdbMzP2H7340JmdqAkVl3SZO7AdNw Ivts5pO22yZdYzhPGQh3gLqkgi0RW6t8ulNjGaGV1jrCTlaa+zXLI8yKKpphG/WIpIEUy9UY+aqC 6TzG9WCBdjvE2WGCoIgxSy2zrMSOUSk3HedtUzArM4IrtbkYcJKK6a3PljZatJFBdudSwji32icS cu0clDEz6dXYxepLeN31hPhCddXmyzGeP32J6zfmmzgdT9Gl4AJrPWVbPOYVXA5ijK5m6OcLDPI+ guklDj56gvajT9dHc76gKzPHY6y885jVvkUM6viojuPDGm5uJ7i6HAvn6nUa5nBTA1bO6UYcrPnS yKFxgCSpoOqwPWZcejCoWvcSBwFimltXTAueBqzHR00MJnN1IYP+FGcP2ioLmbllWaCskpjZvDB/ yJ9y0Fq5Lp0QBWZVEkp07HiXHZWruzJr3gP2vtu3b4pJzj0O8L9PPuZdy5lQFA5IDyVHx1vI/9yX av7m4FNZgQAVDAYDvHrxRuQ9Eu2YYR0dhHj9+o2l39Uq5rO5pGmqCbdv+NNwMEDv4ABHR8eo1cy6 y8uZMOAot2Mn6vYV/v1//wbVSoJOp6ULhU/B0XCExSqVzro4VEGOjz99IroE8S9pSTG8Obb3vlZ+ eVlbfyq1iGrYROD1n9ygEAMBF4MZS7ll4TSx0gGKzKgSUW725fw995GkwxXttUIeW5IUK3LMWa4C TIQ05shDp82VF7i6tgudcsJ//HqI//bPPbRrsbSlvn45lavx47MaDrsJWg1rJhgux3LNMk4bEDdM hil6WCFVo274nsuudr85i9TyjKLGnOjjxxubkwC0JaPMjzaolAvpPMBoDAwmOZaLobpyUcRyMtbD ioqf1Lqv1dt4czXH+XkLyCZo1bqYTIfoURbVf2oQoNOuimt1eT2Rnbws5ek3WI3XcsQkdZK4SbCd qgtPHnXw/MVQLtAXJ2NUIvMgVCBhFy/PMVutUG9WRYdgl5B3FV2h+b2lsUUbe7rmRORYGYTBLC1l 2VthcR6gHlVRacR49XooTIv7dnjSQK1Boio71+b8zIAWLUKpTPyUVy5ZpU3HVgGsTDlw5ZyL73cm jCWwUdK7Kq9ygPu2SxmWEQddRlHwJnODwevhYX/D2wVmBqLEDFJMpxO8fDHAaDRBvVbHz3/xC7k6 8+fc7u3trYJSvd7QBZfULIgxmP3zv/wLzs8fbknSsARSp3GxUqeuVq2bM8p4IgyFqTvZ6DSB4M00 GkxQq9cQ5nRoMddpZVS+6/WeR8drTclwQSVmBRllXQRuGyE2ChpIiwSTgqxv4OrZc0yun6NeS+Rw wwCUSfK4isFtX2UEg3W+XKDbaWvCLw4ukHH/SLc4OUXUbWI6D/H1K86zZegPA/TaXSxWLTy9IJCc 49lrSufQi498NxqCUtfLyvU4miOkRLGSOUv3DEkjfkiNK5NRtovPbiaPDdrxMaoHM1E+tIRnkdtE ET89EQOEeSgXZOtCBnj2bI6rywUODg7x8RdfyLaM5ExmxQyBzVYkLGkxL/Cni9c4eNRCrxPj5Kgm r8VYD6nNqsQRPnrUU4ZFKsPlzUSBibSCFgNOwuCwxOX1VP8+6tXx6FEHTx51peX+7Gkfy0WBeq2K i5djTAapcK4wCdF90ECHmSpLwiJE3QUUk0uyz+c1JQywAg1OM/MaDlOVeTRabcRVnJ628DztS7pG ZWknQZWWY3MrmqQnlmYKsN4L8ae6CtcxFN5UUnnw2ZPQaG/p6WVjXPBaC/Xt2a44WH9DdsW1eRyo DbmZTfPuyb5r5G8EDdpSGiQlZlXHQe8YtWoTZ2f0Guyh3W6LLDqb8cQmmLhAw0XjVJZws/lcZSFf u2+RXHpxcamb/b/867/qAiLYv8ho50TBNW/JZcz0MKaIXwW1qusckmRRhEhc6fSuZeVwglWQCpS2 QWOy3SMbIygs+BE1W5JRzubDaonlCri5GWM2u9RNz6d6rd7EycMnqNaa6D9/KmOHwe0NXsiYNtD3 plrrcjFD+H/8K4JaC+Mxpx35JA/wySmtz1kWBVgQR2sCn3xhCgJkXQ8XK2CUYEmn4/kKp8dAt8Oy bTPn6HE08rc4KZBE7JrVNMrE380z8ug4m2nu1VXqxYvBTtsyZ57BwM/vzYDG5CSkEidtsCJkywgf n7fQYg3Y6oB+G6QEMEuZEd8hrYH7P0sRRjGq9Tpq7RqiWiIjiH2LGRVlYfiHa7GkVMwEV9cTPDrv rvli4mAF/NgqfvnLY0xnS/zuDxf4Y59NCF6bFHEE2vUE3Wod/UmKX7RPkdQK6VvRVWe386jOGEF7 qkjMV5JB7vZqYsEzcB0eNkTdYDl4dTnBdZ9NCtI5Eo0ekTlPCWhmWeRo1Zwe2d/DKjakgTVg7n/u yz4/K+h5VW+74/6WYKXP2qeosO5I6ZfbM4a8uafpDP1r41d99tkXqNVIxPRf4y3zau/QjtqVWmEw arbaisopZ+SQox7mqGg4evOJs4XTV5f+uk3zr1TmssV//5f37ViD4CoaL6I6gQVrqj+Qr0VybLgO 17WwwGI2xnQ4xMlBF932P2OyMIA84/xaXEGj3cWof4OPfvlrVGt1TEcTDAczTMZ8apNp3cJ8NgbC NmYLNhMCnD5sKEsYjxZ4+tUQo6HhgNSJOjqqyy1GT/GiimHKB8EC/asJZvMcn3xUoNPyFm0U1CNT X6w442sVISaTBOM8EBZYI5ufJhV84pHf5bA1BlR2iKOCzRXDLc3/0egohpja98gAACAASURBVPRx 1KaGg06IXqeCG0ZVp9zJIEWsSNLrGcRGZ5AjziOJY17UZMOPaBTiMD0GH9pykQq9JUmcycorc9cF s6xH551155lB9PS0gV//51Pt61+/7qtsfPzwADejGSa3HCcq0OvR3KPA4VETb14P5ezMDGn72jMn Z/5hSTcZLZTl1xsVHWey4vkdSDZlB/bmZiqCKstJzhVWSV6VQUWkBoIoEj9hUqlfZXBc3KoSMO/D hR9y9vfS3xiP3rlKBfc9TwRnpVV+Dcu5TrdjrPHKhuNyh4u516Bi87ttjtYmUDEA0sqeFyej9nAV YpJHSALapzNsmMDJkhmL0swAGcHyzNx6PW90WYSoFuRsEcvZ3jcGwVkeYJEHSEKK/DHLIvOZXU9y v7jX5GTVUJEvookTsihbZlNMpn00Dw7QO32AecG8NMOM3BLyw3iTdg7Xn5VFC9TjJQ4ema26sgl3 EZA7RqE7wjpUv3z5YqwyhxkGOUwkMFJN80G1gYOmSVOTBlBrVVBf1fD0zQhBnOOXn1ZQp3+fBpYt gKv5UFTx9asCFxdLzJdL1JMCP/+kil47QBxxCtRK/yX5WBHcULVRHGSRJechO/cqDxV4cs3qVeYZ BuMMlWZL+uvMLviZ5hlioLa8/BjknFf6ZJri4nqCVoPSy3bOSUc4OSRnjyTThQIdaQt8z9FBfQ1k m+SQLWZa03QpLOmf/ulcLHrOG9Kxp385Q1JU0HhQxeF5S6qjtAZjsGLH7+SYOOX+650lHbOp0dB0 wFjeUQGCmRu7gsy8GJzHoxTDcarXU6KZDyzhmlRFnS0VkH9qdmDvI72MsipoKWh5LeLve61tvr7R m+JYAPeurs3WxNxWELt7cbztc6UpX7HSwD+Fmb0QLmA5SpCU8sWLIjTPOffZdwZ+OXJCSZIwQ4OZ mWby7AmxyAtcLtjRCmWU2oyAdsRyk2YQTZVKkkRm0GIzQF1Baq0HqDVbOA6pGV5BrVKgumJGU2Cq R9BO9zE3BjjJkK1mRfpQVtJsvt90ssLt1RxffTXAxc1EonbHRw1UY2JHwGiaSlyOt/75aQuNaoTZ DDg8rKsMm0+nmI5j1Cq8kZeGj6OC6biC66sKfvsXWnLlODhK8OY2RZrn6NaX+Pmnubpz3Aey660L TGUGo4EQy1xlPsPib2LhPN1OgasbNkAirDixUCE26ZQZVkboVMbJYWwHhFeObRKAAePhWUfa61wM as9fDXHTn1pm7PhjrWaCplMO3bfSdIXJbCnX53atpvPz5uUYb15NUA1i9B40cfCwJarEQacuOkO7 meDqdoLxZCGDivsWgxQbCXSZdqddQYuZmg1S10VYnU4XysjMOzLEil6LCQekV1J8YPb1U7K0f9cq g+ZrIo2XPfYyx99B1PKAvW/e6hy4z9lqadzVZPI/32zom3zoXazgm38bPqMkjpyTJBogDSqI821S 6v1wAVn4ESZ5iHlORQkGLYKE5CdZHsaf8e8J2/FZgR67elIfZSeQ5VLp0SIkj2VfFZ026R2GGjHL m2Qhcu3T5qmqYKQxEWYz1vMl1sE2OAeEVW5nkP3Vf/z5Brf9FGePWugeJiqvkkaEJI6QjEJlXaMx wfslDro1VKssuVbodWt4Pchwcc3tFbi4zbDMCI5HmIyqmKYV3ZztboLjsxpmMzOG+NMzussAv/qM 40/WD/VznEaT8Bcmv5MTT3RWX416hjii23WIZrLCQp3F2MxKY8N0AnkKmoAfpWB8SUjuFDGp9fll FtWroz+am+Ber67y712Ln8NgzQ4gA8tf/9rHy2cjafUfnDVxcN7EQbeOTj0hj0NUB5Zqh92GPAx5 Phh8dhcDKEtAG5ROVOItg5XEBIlvSWq5ZqKBzB45M8lyts7rsmIcOP5+NiclZ6Eu5d9V0MLmb49p bdEdvqs0y9Ep/DZVmfDefb93b4aA3xVz3odG8L6LtfF0VWCyMuicFzT/fOPFziZicDptSsaz1EiN SBi6ERuSAsZ5rFqxHrFE5MlIRJwsZ27E0ahUwLwjlgEDS8sQi6CyFUS5qCU+nxHfCpFSgnc+R6de 1WxdOA10IzOg0Qj04mqKo9MGzh620e6wA1qoUzqZUw89UIY2HC9wfTvXDcJtciBYo0ohcNnP0B8V +ONXC4wmKxwftvDwYR2PHzUMa2kZVYAteErBMBt6+rKPRjXAp09I6GNX1IKon1ogAC/LscBoIn7Q ejRdYrYocFap4MFJjKtpjushsZ4Ip2d1JZksW5n68sYlmK2xqSrQbtUUME6ObLaTh6vZNFyJXDqT c373IuWBGRONJP796SW+/OutWP7HD1p4+GkPRyct8a7SJQN4LmyR+AKDHAP4eGxyQeWgxYDLn8uv UDfiYq0LX8kj09PKaIRBnf0CDQ5Hk6SamqgiM+5KFGCZFXowKVhPFxIZ/HsKWn55fhYf0WWC6N+6 7NhbZuszLY+nxe+noLihNWxv2Gc4Gz/C72rxy09WQH8VYUE104ilyt+OCWgfS5ZeS46duH1nV3BM LtpyiTDOkVCixn173n/FesygEF4lvKZw6gHhtvQxs4yJRkIs3F/ThZiEy9kKFxdTzTBQ95xuwpN0 id5BHafsvLFUEd0pQJxU9Ddt72utWDjR7fVcmugnhw11yriHvAGnkxCjGYNvgrPzJs5Omzg6rmv0 hIdtllqntlFn1y7CyUkds/ESf/jLGI8eVNGqNJy8zC4gbdLMGjdiB7GIkM5jlT0UC+y1QzUdKPsy HvFnBU7O6tpXBj6WTsxMlInUI5wdN/Hs5UD77DMp4+x9M/4Sjyk7imkeKuAz8DeTBKeP23j85AAB zx0bABxKp2IpMx9SDvJCbj1BPVBwoq5Wq+VMV9kQGKY4PrZgykyLZS07kbXEDGB5/rhBBisGWeKM /H7kyfF7UPyRlC+RMJNI+NxklIo5/1OnO9xHf9i16Pqu1jpzczch79M4naaot+t3dNi3M6V3btq9 /34b+m+yeACmVA7NKGVsHabvr03su2sbNvo8DzBYGjDOoxUFxKcIaJNI6BQFRHkg0M/cbIWKxlc4 UkMiKw0XcswpwZKulFFcXs3Qayca0J1MV1ICkANxJULvsIHjk4YyBlFJnewzDztLCu7jfLZAvRMr OF5fzTGbZnj8kBQSevJV0DmgwW2mubbuUVVA/lJBA8JVbFynwHC4kEdg0ghlj/Xm9QRfPgNqn4Ro uW6vSQWZHLUvB83izQ5UrVJBt051DO5bhlaywkG3iqu+4Ve0yKJTjoefhoNUbPZ2XojnRCE+UhbO T9vf2pjUYym6aUhloHmIOnsMDBHSjLLJNSQS9ysw7JPiUSBmhs39oGpqEqu5cXs7VRbFAMTX8m/J L1OZIaMm10zD2WS96/rg/GAtFk+LwcoGzgNlkxrtiSMlAaI7iENGCGCBZofE6L/DTAvf7yrjWDH5 VI0ODQf8R99VUbh3R/e87m1lIH+zyEjAtJk9EdDWulsWrdm1Y/duSkBX1u8/7AlW0ApZPoZK7YPc SZm4TiG7V+wIKhQQr4rM3zBiykQtLio+8AYhPeH5ELf9uTTGmYRRjI66SnwKn521le2wI5bUWQ5Z aUEWd70eq4SazO0JT/yJZyudLdA6sO7aoL/AH0bXODtr4sFZE/UkRqceaVvedp3OP1zUWKeKAter FxM1AZrNGPV2RZpQz16vUGRT/NMvOOq0wtwpZDSirpWDEimMZUbKQJbUcrSLCqo1BugFarUMXXY6 g0R8LGYrPI7NVkU3LB2WlbkcmSFEr2tk4DdXk/VQMvEmz8F61/LlAd/LqMhMTSUsu5qa2rX/LluG sfM3HpCwHOmYBpVA5NKkyuxzKffnXo/0kaq4X5Sm4WtZznpFCG7HM9kFrHOOkAEuiZV9jSfkyNvN xeu6UiHdw9RNR7dz42g5h58fawU+W8GHufZh3+UVz8ZzdI87b+VIfXd7A9wsCXQbuZHPVlq/cap7 QmoCyZXMTtT5s5vux1g240glCj45TdWcXUkxefV0t2C1zkT1WnYuTU2fLC7qOV1cmlwKS5PTs6a1 wONw3bIXrsMnLrO4KNINcjuZIQsStKqGMxGgZxbV6SWY0TtvtlRpyaypf03n44mK/UcP20iUjdqs HOfh+P4Jy7TSae0dJCqfuBgwzx82cXM7x5urBV4eZWh3UuThHFQAzkKOYZmDDIkbRjZdod2iKcQC Y5Isa5SYLlCPMyzrIeZLdtICNNux5Kd5g04mcwVrZl7E3fidD3oNsdqZHfHPxdUYnzyxzvN9y4Ow 0zmz1rnKLZ4pAujeyp6NCGaD7FIuRQK18SzjRdmcCT+fga1aIwk2R5O44pQPh1zSNOz+Eafi38Kw 6hUJBPrgx3+zvCMgz8UgxsDE1xIjixgUnb0ZccgwL6QAMeqn8rr8sUilQUmC+EOMWJ4lv5a1KflI +CMWk9czuByge8LOjcekdgX99thOfcMAR8t0BiDeCMOVWbDzKTiRTpRhSWZR7wal8eMvj2tt/9CC 6e5Fl5PpLukYp/XFzKYeodlN9HQn5jRbLNXR4qjLYJpiPFsoODaiCip5jA6NHrJMLXTZqVPnKQoE AhMsD9sG8mpAuBKKTMqgxXKT+lQnnL1zek/8bBE5o0DlGTWruMvcDvElUinoykybLe7s6zTH//3f L9DpFfjFFxV8fOaVUjfLSjCqSyzRqAMXVySmBjg8BDrNAv03KYEbdSF5EzMgnx418PrVWAGBvCne sGwSMMD0OlaCWtls0kbvyqromDMYpTrGJJwSZ9LYDdN2dvIYxKIAtShEOl1KDpmSQ+LnRaY/RomZ 0VWKWruif9Ointghs8Dz8yrabXKt2BFkyU7KggXZzXVhqhGegMpsi3gYu4P6mev78zwkjRiT8QpV OkovzFfxx4hXYWnu7/vOS77t8iYVXNTk8tmgcRddSdg5bmN4PUI6WchEclel4W1g+/suvr2/AKgy 24gKjEiKZInFG9tJD5vCwk9j7fv+/ImMMNw8QLtbx4PM2u6ICkwWqezLyIGarpaIOeSrpIAzbJHa +s0aKQiUdHYkWimHGp+JizcliZIsp9i3Y1ndXhp3ibbt1Ic6PW6gVatI6ZMPlHozwjLNFdiIq508 pIBeJCoF2fTM3oh3MfhlRYRXL5dYpiucdTroVg3/8ZmkOFqc9QxzHHQIvtPDcYXahG42c9TiDAXn DlGVVHJSIV5VwzKz8mkyWeJAHVCedztuLOvIfCed4W3Ld6GkvpDlej07hVwaZSKdIjUAnITOXtM6 rdnS5vuUXPknd2iGuVwE5cnRIu5EdjsDICVruJ1Oj/SR7RKOpFGWj3ydf2Azs+LMYZMUhpD+hzyn zlOgGiiL0+soNuLwrh96BWUKwnt0+9+6rRL/8ruMfa7YcPIPpn6q0+SAfQWsSlJBk9yUyz4eNE/3 stK3dnYnoL0L75Ltt0ZlqFJAKyVKINPWK9AT7+9l5orLdNmNRU/wO6qkGM9Tw1iyAIPpQkGFmAfn Dh902/rvr1/eqlvo27ebJoBt099cXLz5eHPMifelK9RaIY7CugLE9dVMT/uPnnTQqldF4pTqQd1Z WM0zTIZLNDsVqYOyNAyCFeqtWJ09htvnL8ZYrpYYzyo4627keCzrNckejW2xrOuG+PLZCl9+eYH5 9BKtBrWqPkKaF7gdLVCJqPNVA7IZrl9dYvoASI/qSEgAc4krS2aWeI8fdN6LsEgCLJfvGDNrabeq 4qNdTGcKhszkSH2tCgs0hVUxz/dcavw5O6n5LFNmRYNWklY5IsWSbxYsNaLjFzuGDFosHf15EtBe tSwsm5P4ajI4XqJNGpDkqDkF1h+aAR+WgrW/xv6m5bZXfAM/wW+waV+5aybUZ1hckm/mhVgl8kgu EsctHKi4uXE2ZeJ+o9X9bje8wAaUUiGHKucACEBLU7KoOfrxUw9U/okvtKs0EEoSKctfBiQ6sSxX C1yP5pgTyyAWFgKNmpEjOX+WLnIFEh5Kcsx4Uc+Wy7XkNIM6bxx2+DyXhxkFJX0WKf8s0TsyoJ40 Ct6sz16OhE+d0Ladcs9NCtLFet98Sk4Uu2mkc3B2cYVmK9bv02kF3QPmbqE4THrQrWc8TZ3Uxt+p iBGg0wjw5KTArB9g2l9iRju01RDT6QzT6TUQ1bBaUoCwhuFgjMFljvTJQ1P8dA8zSspQNvltN7Hv BnIxq2LXjQC3lENWOU6OWzJlffVqrCDO4zlczNEN6ypLtzpNe7bP4KIyL4owZFOlQoNWsw6b0aMw sWFu7TPPQxiss6nyWs2Nv0XlUi/DbLxj577tutA/9ApdgCkrifp1t55691orizpMzN8L3+V384FV ulwu2xIPS18oDtHqtTC4GuLo0eE6bdxold/dmPuvPT/zvylA6s+cpMosQiXmyMs2FvBTXpLK8LpA pRa7JUNkg1elSpHFORrNRH+GkzlOD9pmHFYAR6d13FxNJYu8oOBeusThQRWTxQLz1cp1scj1KRSM yLvyp0NSwCSOyhMcCloqiy4z9MRsr8oLsFtPEC3JSSI4bLLB81mOFlniFJ+bZaJI1KlnnlDPiXMF wHU/xXmPHUK6AnEQ3HGm3MgOVzpPgXyKTz/u4eHjBEGQSSbn9PQI0+lDTDMLLs3pBOEsQ9DoCf9b D87SMmu+RKu5Yb7fm1259xD85n+zjGQwbTUSVDsRHpy38bvfX2F0M0Pw6YEeEM1FrnJsTdfR/+wp 55ntqzS07Jc4GAMW5wVJO7HBbld+cgRnlemPLxfJQ6YG126w8h8nNf8f8SGdO6313eyKePI6e3EY 4fsGHU8a9fHvbw1W/jyXWS6CWZw9mCzjNoqj5PtQsmSB6xc3IK5FA9J7Nr0Tj7dPAmf05iv7YEXf jCBxrE7OTz2rKi8/YK32+s4RYS4yULZjJEPqOo1mczw86SBpVNFni/+04UY5ari9qCIdLXEzmOLk oC7rLM4UPjxui9Fer0XibpHPRBBZtIEQSFypslwuEccZ6s0Yi+c5Xr2cKg9isLsZm6V7nFhnkfjV eECcKpdSKG9AYWS8aVkz5SZvTEqFeP1SK81cl9SGkcyrMMRkPMb11TVOz45x2O1I2npEYHnZwHQZ S86lVQfOFwm+/MstBlPiZLlEUy3hsHL3bd3grauNsbkINGPIbmOxoh6YBRsSbzudqsZhVF47yRrL TnORXMlFa3UcKF5eEjsMESxyse77t1OcnrQc/w9G3HWVB7lZnFoghqWAxfNP9x7uB6kPO4miFHcl Xc0b0srFH3qFrrTaZaL7KsqXizy+3pX5fdZ3OorjSj7fJZSCSskvURhc5Iaf9Y9KpEA1Hy8Ewh8/ OrybNZVkdt1m7nwoyz1e6sMsxnRJLkz4dxesuMpHYvecEbMbzVJp0FOXiU/p4bRAI6lgSHfips2a vXw6VJmYUfo4D8RX+vf0AmdHTXS7VXz9eoBuK9HwbqtB+eQVri9nClgMXAxA4huhUBeOWM7pWQN/ /tMtzs8bqNdruLqdYxDOcRTVEZDOxXKmXcGwv7BSskEAfoFW27qI2bJAkAU4OayaQxCNLdxIDgOS nUbq5CdS7KB4IsUUmUEv8xDnxxm+fFpgMF+h7ZQWHhy18PvfX6M/mKuDeNw1gN13PElF8AB6eamE 8TNlq0J/PONZBNvY/QkDdMhfa1Zwo89IUSNxdrFC96SG/jWdiIDuIdUuQswnNjlQXv7ytKFt43CR gGq0i20Mkdc9g5/OtcvgSCPZZ3LOEpw2YhoPW1Cq+YeXncmYAe67Tp2tlw9o39Bx6ztdikHh9n7p oePtwhz+thG90kBpJHH9xQ1lZNfjjO8drLj45dsxMJqTVMhg9e15J5sSa3sy/Mdafq6JJ3ZVHklw WZbfT3YJKWEyHtoQ7eubEY67DQRRKKznwcMEXz/v45OPDjUaMm7RFTnH8HKGZ3+9wu9xgZPjBn72 2RFCgvWjVHgUM696EonRTXoEOVrEnmj8QLuxm0EqgJ2YEGkCnYMEvU6C3/zhEr/8/AiPqs21GUOS UGxvpWyKT32y5NWV5E02W6IRE1ynY/MMf/nzn6Vc+uDhMUI+5ijJE1OKJyo9/UypttNcYDAZIaw1 0Dmoiu3dyiy4sitJfanNRAXQblIeOUVyuB1ABLCviKvagVZgUlDYlJRlfV5+595BDa+ejTGny3SR 46DbQJ4H6DBw0oBikWN0Mzfdq52AtauCJM5cEuH2erGX7FmSiHvrIvcsIpXDDdH/GIhI8Zaf+1Ls Q1jKQt2NxGuS1AY/8KYEcBOwbOlmJAs4NkB2d0TnfdeSAmwcgyB/5T2D1fpJ6uri+1qmPnARA/V6 0z60brcFNl/Sf+nda728GNX1+3JXouQasq7xS9svr7K0huRaZmZB1Z/McHLQRBJXME6XGmwm0Ezf PXJ3yIJnDKDm1eVkgkWUo9usYZUF+B//73P0ugl++cWx1AZYsp0etdCuVZG0I+E0DIrEn+qtKooh MJrMEdXp+xMpKLIc/ORxT64yqwXVFCz3ZwZyc5GqjGxR/2m0RJ3E1dsU18MB/q9fPV5rn1EZ9uuv n+L/+eoplguWRwSzs7WJSLvTxj/+4z/h+ORYP3vyoIqvrwhYr0RU5cQjqRPD0VIcsPW5DAIcHzZk 8dVtm1TO5oCawmrIIOUfvev64O51wWuNpbdUzDhczukBEmxrEWYjasUWwuca3QSU1brzEC0FP79v /EMlUpR02jVDCQoKenmgjTP47uLMp4JUHKrrSPLoT8HfPnD315rEuTMz+F0vca7KVAl+LiElCqg4 FVOfva5NKPyOagThToDaza7urrQ0cjNI6UdnQnbvWtxq+hYd6H2vV/rqAO/1Fy1HYg80up/7A10y KNuSevUBspxT+v/2ge9t++afVOt/F4VY5qPrFGc9mmfEuLiZih3NpIRqCyQZkt39+FEXo9EcR4fs KlY1qjOdpBgPFsKRnj7t4/e/v8TZaQs///wY170ZkmaEB2dtHPcaqLRod2WEzPZBTQFhuaBDdo5e rYHRYq5sasixkZBjJLS6YollIHw6p+yKKYb2elU8fNxE55bYEG9OKjDM0Ol2cXJyiko1Qb1WQ6PR wJs3rzGZTKTVT213dpopL007sU8e1bBchZiyDOKcHzh6U8Or1zORRMuL5TK1v15fjJyiqOuukVDM C5lktfdcHHticOjfzvH4tCZiLANy2N7wRO6LFwyO/N1KXUCjH5CPRlZ7GUT3PojMvlji8b+Jf5WD nV0PhQxlK3WjVBBLIxRQ/vz+zdTJLP+wZWJQ8h+88ztPMvUuOCVF0e9r8Vrz/oYSC3A3tr9H11mX l5fx+ui+72tBwG7T+5Or7ZxmnpkMDOFOqoMKt3rHjvJh6875O7Z+/x6Ugb9dZ6FdALFco+87WcV7 /PfembadE8r9nk9XarGjBc0THp00JR4XFQEeHLfw/OVA3CHyfhgsHj/uKhsiKfHrr/vazuPPeqg0 K/jqqxv0/3KNvz7ti77wxaeH+E+/yjB9sNC22pxVIy5Tj3B63kQyiHB7NZXAXRUxRpNUvKzf/PES jyi/ctZGluYqHyfDFVpd60ayLGX2cT1K8T/+Zx95OsPj0wzn5138p3/4z1uZ9scff+Lm6DjQG5o9 XD7R6E4SJzjqiH4lpyAOPuvGLiDxvPISPaKVKEA9fdHH4/OupJH902iXGW4aY8aRkjyxu9kJ3hPv I52DWVGxyM12aw/Xj6A8yaJcajQUzhosMhoDZwrJW6NEjrnpbN7P7qDeR80xjkDRc323zuM+Dujm Ha2zQwZABlO/qA3PDPCHDlaxs/DiHvO03LkPPAfKWdb7p/X3Tcdwk1V3GwIlB2rt/yYobXgjPClk CJOtu3/dDSWdaohqVOAmZfr2dtyKH8dAVQ4oRgrczlbWhLfSR3ru0/eZWftU2FPNfPblMzmPWfn0 9U4+Wi4dnSvxxdVIpRdn6GR2kK7QPu/iy7/c4IsvjswNKM11837++bHUAcRYp3LEKMWXX13jt797 hRfPB/i3377GTX+G//J/PlIpRHyryREQKiQIgK6pLBqzPCyqAoZX1RxPzjsm8kdVU2JqOdDsmK+e sq3UZhx//qSLk4MQf/4yxmAW4JN6w920dj2IQd/gADOHwE0/hzOHPCppTrekDGfHCeYvgVUt0qA2 Mz9qeg1uU5W/QW5s93BpbpaUf2bA/vLpjeSSmZHxYhXr33OgctrHz9czfAXNe3sWUBj0xU8jBjs0 3trGYNaC1HJshrAMUj4rokqo9p+BLqcgHwfQa8LPFBQ10mTb4GdIYcNNNJDCQM15BuUyTDGfUO2C oP0m85KxrQte1MhiUD0+uZ8s+32sYEcZ9L4Sbw3P0Fi2BKN8n+s+hNzf+z4+xDllccNNjU67qna3 iZvXNzh5crLz9jKCsx0x+K8kDJCywxLRL+/+iLIbrLiyPW6w5Z+td9wFD577b6qJtlcFdecbeqzK /7f/uyw8+q4TaLN8ZjhKblM0soFdOQcjwLPnt/joyYEZLfAJze9F3G+ZI19YedKMybn6/9l7zybJ jixL7Dz9QkekFiWhVaPVTvcMbWdnbdbIXdL4gfyV/MQvaySNpBnNxrg7u8MWMy3RaACFAqpQlToy dMTTtHP9eaRHVGRWFlAF1eVt6EoRGe+FP/frV5x7jg3Lt4Td4Efv7uHdN7Zx3p3in//5IT765Bj/ 9RdfSIjlvG3NCfHYhEuvgCV3N6Kwgg1r6mA4jBGPgZuv1PDwoC+VyGSawwttzKb6oMpFEuuL+zF+ /+czFFGGN28kePRpglq9JhXBLCMGibAIRe4XNDyEDR/VoFUSHRLtrxhJdzoODiYks7MF3c4uB+LJ xIvnJuem0SDywkI7CFDdc3F4PhKvcHezIRKZFOrlc2PCnje6uUVVJnqwvBd+3pKXKkqQZDQqlhgF MWzlQ09GGXzi2JbP4FI/hYcIVZ5Jf0yPcRop+mMF+1RPnocMc7wMC2wL9AAAIABJREFU3XWagCDV 6TBRCtPl6mAYGDD8Kxco71GDUzn6vZlww38TIytDvMuG6Uk9L8rj6w7tFGgIxqr97arephIrUnYf sqdwNosMio7lv1xtKfpJodRtVvVAlIOeyUqsx1Mmxgz9tLWVzvtrVg7nYVtpeLQXpYn5tEelb2Ne nbwi0X7ZSLNMpKD2d1pwC0pLhcgHwNHxAHdur4nXQIPC8E+DD3nq09AzxCC2SK5HcGqSCeCUklP0 JKzQxt/87V101qr4518/xG9/d6Se2XtUGPKlOTgNGKo5SM4yVDohMAvwqNvH7ddbkninsMPhyRhb narqo6Pq8oRS78yjkTOLfX8FXt1zsbE2xmwaiVwbG7OZhOcETsaEChSC19u5swlvnTQ7lFarzz0b 0mtFB7EcXgR80tOscT6ZGyn/5VycHk3F41AEeC42alWMohj3H5yjTUgHNSdp+EuOKaFsKbmoGMJN hR+D6juBeKjn4wgnJxP0TifobFYlFBVDdclCoSE6Ph5iY4OCFZ5Cy0epAHV5DR3WiaBGofJuPGBk bzGfVXXhkYXhkhLgsDcTiiC9j7JrkWY+/1FojcHnPLTwu+SOv2SrjoBCSxl7Rt1aQkzS4LqPUBLx S5TDYrOEJsMT7bugplDNT2uYlOR5quiDr2I1KvtAV9/xM4LWTM9Hy2AvJ8AlzNTqtSs8OD0uO0mK Z7iPi2Slja1GXfi0Mo+bjFLsHkY9Niep/9EQLX5+VbZng7JLtHlRiEHr96aSU1nf6Mh78++YVL77 ugobP/zgULjMdzbruBO2Jfzjac/wiGBHwRFZBepBgF998Ajv3N6SvsHPvuhLozQT28wZTXOlx8dW IQIwxwMPm9sh9m93QFp0VgdF/cZRJfqU3zOHQ875SgjXcece1nw4wGA0xsQmsTRxaKq5XjiwytwR yfAoa7+xX5U5ZBFg0I9BEZ/1sCpeVbdL8sOKEi+VilukSuDsppiwvUkxftIgSmNzGasrKfpCqfjQ w1nx/GiEjo6G2NlpzhlE6b0pnUVHvDhFXnhREaTnnFHeTPoDFfyCcy4UN6uukVCy7KL38Ps0LKP6 ro2O5AS/rOGSFrXSE2SOjWGpgcgvke76RC8TkY4jMf5oMIJP93dhpleBCFTPWc1zRPvuqrFsNMxc 0LMO08gIQ/FlcIjnDIozK4+m2yxlC3FlLdhVB93DkeSHhLSv4kr/GZkG+HLmnijvzk3FIb1sASu0 GVJWWT3ygUGabJmTWqiqbVQlrLh9u4OjgwE+/byHznqIrQ3irBRynWV8z1GSYM22h9B10FrzkRSE QpAhNJQ8GAUg0hm9LAI4FUjyxis1uQ+22pB2hZuSyfULfqLF9WKOZRgMFXbufzoU/USRJ2MgyY1e ziPDYKFqKR0OVkCbNaX/x5yc1SvgEVU/nKJ7PkajFkry+rg3RuEolPx0nGDcj3F6NMF5d4aK52P7 RlPmjV5pSeH/5HMsqDE4RpOG0FdtS/TYaLT4t4ww9MMRxlZhiNWtN8oQErcYTdUhQUWh5UE1aIaY Jqc77+kihPxuD8sQodB7QeeYv2yiXqPaTT4sPVyKbpLH2zRcXPTMZcXjWBGQMSclLuwVifRSuJQS XErWYfWrxdNZkq5+HuPriLV1futSb2zOKEC+KUWXS/DmWXcsLSkbazUcn4ywu90oH4bq4NdDHrxr oyCnE6XjPVf6ERmykLlz/joyMISuUCt3NmrCkHlyPBW5rJt7LSQzFkwo8umhN5ii1Qgk5GuGAR73 B3AKFzdv10V8tEoOJ6ozO+Qf5yYk4BfYulnH8Iiq1uyrU8l1qumYGpWrDNdyI/z+ZhW//nAkzdTC hEpOVmMCxaBow2AMglubTQ/Nhidh7qDnYTLJMJzEUoEjOZ9bddBohrAzB9E4x0F3DM9y0GgE2Nyu o9oIlMcl1c8nVyNvkTi4W7cUcSAPD3KRbWxSt1A1Z/OEpyQ9Ab6EitRq+vAoc1JlJUtgGCtypPQG ib9aDBeV2Oz3YeTcDyywlkh1elZlAfYrDZ2nXh5uf3yEathG6FUvXkyEuk96FBtnj7sgBU2jU5ef XRany5vpEqhY3NUmi3+uD5fv0hmTreh0v2wwBGTfX6sT4tFBHzf3OxiPI8EabW00pFrIE5uJ8PZS 8pUblYlyltmpGZhlngBM6VmZ5XWGbyzbv3J3XfA8nz3oSWtOqxqgtVaRZ0U/i8ZqOI6lb5CVunat gpOzKTYnFQFtkm10b7uOPLUkOW7FCvDJHNHmbh396RRWMCnbcRJFL8MmdjbHXAIqNn9Gypm//eEa fv9Jgt8zJyoFBvU7yVlVXIzOZ5fDWPia0EG4o4QthkNPhDjs7gy9fozPzqaiikPPiIaJqHmXdM6O JWHxhQV58t1VU7Pqp5T7ZhjDEKT8XvW2kbCQ/YOpLFi+nhVHKRzwa50AVR/8CYvFEN9rKU3G+fog KwqVKr5HIyvLfC866nXHwxni+BT1cE0sDbv/2azM4bPRtuJgMpji+NEJmp0GKo2qAkCuuDOGQhRs IEkdNfpW2bYFmetnzFl9UykAMwS8zuBi3N6tiydBPBpzLNTju31rbc5h3+tNJQxZ1sYThC9zJKXr yd/z9KYSMT0mzS0uZH41DxtbdezsNzEYzPDwkcpLMRFOziuyMlSrDqb9FO21AN2jSIwSoZwHjybY u1UVhgjS4fA9pa+v5B0XmXnPxvnQRi2sSKxLFpx66Mwb458mhqs8SAv72wHufa7ohglS1YrPHJIP Kqub9GSuGpyXZouEgzYaLReHjyeYEb1PozdjBVFV4OgN0cuUdh6dGV/BLcODgEKr8+dslIIlT1fm GYWUT5D9Sl+SgFHJxZUhrYBOV3hwCte2AgeWfzNJ9xc9ngvX1lOG++tf/BadThu+/whpmmI4GAqS mdUg5rI4uVmSohJUMZ60sLm1hUo9hB+q3NYylUboWhgTun4JF+zCT6754XSF77oVwecxTIT7s3L9 8OTW/wmH+dI80ANjKMIc1KrBhLL0vqUKmEglGIYWhDQw3BH0tXgeLqKah92dFronY/G0PvrkTCpl pK7hgVAJPPStSLwQaiySVrg4K9Ba8yRMZA8eW4UIQGW4Ry52irxSuIIhouN5eHiQoz+eiVf407cp z3WN+TMmjFXPnQ2lQENWBTMk5OcgBqw/SrHRUXAB/feLQZSQtMihyNaxdseC71k4PYmFGYPQAnoz /AwMydlMLeF2iSeyKSSwNAS/ZbjNKt9F3cFUDgx6VSLtJWIguWgqasBpXuKt2CvIz8AoxNwLvH/K e7Eh2wxHmR/7skpB3/bxdaRl3GimQGxJMkYYqJV4eHiERqOO3b09DIdDnJ6coN1uY2d/Bx6VdgcT aVvgKUFvS6S6fVe+ZyDCLv/LcFhf5jNdF8ZwlRemIQ2yPMsyt1RMl8JTnegTSlbTYD3jPZOviYZp rUPWBA/ZqUqwkyaZG195Sqv/VkIRRh2UqS4bcbnRSWnCqho3AHNawmtOLvftOm6P1uUDPToYYb15 jq29unhwbDUhop4Ic5L2cYNutmuYxDGqXiBh5OnZBLtbZa7H8OAiouFDF4dHUxwdzbC1TmS5EklV COTrHR98Wa0GrBOi0PDmrRbqdxR1IDf9DJ2WN8feWFki1SJWnemRidSHPDQlCMu8K/NbbDsKT22c nUzw4H5POgzWyKPfUurZGT1FzQC6NNgeRR53PWReQxe9rlKGrrcC1WLDFp3Agys6lKocTDpmJlkq bfUclkc8UxqNJFo0fz9gU3rJVvFyPPtw/7t//+8xm81Qq1VVmZmkbEKy7yMICBRMcXh4KC/e3tmW 8rUf8nSOMGObRelJBVXSe4SSRXdS9swpfb4rrfAlUAZtJEwwp4YraETsMnODRp+vMmiml6TDUKf8 V2PCTHT9E/f5jIMnLaEIPOVpzHU4wYXPcJHGhsZLGy4sfw7Nkrm0yfh3NILM1+icFkn8KnUPe7tN AU2eHI/x8NEAPyDh3y7xdKlsbEpqtbdDDM9i1AIfD896aN+sijL1BXmseiBayUeB2y0QDH7Wz3D3 tovxROGlGuzRE2qpssppiMiuGmz9aTU9VJtK9MIcEh6RGWKaoEaVawcIrBzJNEVvlGMSU6/HQpMa jHVbWl4EBmI7CLwC25se7n+qDonQ8SSHR0wa+yWlGCRKNSvuSWAcF72N9HzWCPUoTzfRE5zEqvfT Y8uPyl0RxiCV3pK3faXc/TgR8VQaPnPw2a1vKZDvy/Hsw+10OgrIJmvGQbMkfzTpkWu1urRbMNnK 4VOzjeAcDlb6ogSj3kgIALl8fStA6gVciU9ccAGEWUaNT/JuqQT3sj0zK3S6bUffZW5iri6h8TBz 5pqJYfnapqEyPTaThsOYmgt0rnmfmUr+ztxUFizxQYQxEO+kUiqqwVbaSZYNFlVciIxekZSlISG1 MjcRAY2aa5whIsvrIp3uWIjTTMrpQeBg3I+kv458WuTgqjZdjLupfHgmlFnhoSfGzclKoYRPWqGk xJBRroqEo/1hgtO+ix2ym4oxLZAWkUyOa4dPNVqxRXUaBTxd/lz0vFgFJA99Yuc4iwocnMYYjlL5 LAz3+Hlu3qhje7siYFe6Tpzfmk0oSCx87gzNWCxgKEcWUL/hrvSuFh7yih9qY+VrY0XIh4Aama+y lRFcel+V91IFAD4P/md+VobC7BT4viXcv84h2VMFHjXzClpM1UDAC3JmhUvE+D3kyVnFsEvcVoDE C5BeUredGwRNzGWwdpY/XjBqC0bCwG3psUCur1kaSiT1vHFzCSkvXz4NWW8wQpjfGx+7nKsLYJv+ GUMX4oXG9EJpWCrMMzUksUwwKA0VN59msSQmh/+p/i2Vq1lVhucQcCfl3yOluaerXEyEE1LCv6LB 4nU4SDtDICTxVg8Phrhzo4nTgxkC1xVBBdJWU4n55IzI/IZ4JToXQ6M0S3JRin58GODPn0+E+ubm tt5wCgSbsn8mj+HaSnSVyoyqiig0e/JKNkDPBCmvaF/YxyjzWs6d8LxblghjTChYMkpQuDZ2bzeF XeL4aCQNw8l9UYnE9m5NMFF8JN1ejMfHY1iFDb/qCCyhQiiBVjV9KgfTopKNfk6hr0RvpRG6BJ9S 2IKvZ6VPharGehWwo0LD8xBZpgMnGyrzkd8XmvBvYrgXuXE1iRelam4gU8b96jdiSMhEfAILw4TI 5ifZGkxjJBu9/DozDIvJK60pJy7ubjE01MO8N10UEi/BeN0l0efKoY3TCnjQwmfRrxWvpDRY/JcG ScI/8aqUUSKEQTXP5pI76XSYx7AEJMpkNFG9ckiIisvlJ7DyzpSYgZ4nMVq+La0pzCmOB5EoT0vl LXSEkK/tORL+0LOjkfAypWrs0nAGroBIGaKSTYLvx3vlZua9rW0EeO+9TZweT5FarBzmCPxSVZlP sSiQYCJiI+rQSMRg0etSXPAWhqKDGMhml/xbSYFZuBCDKlTCtoVG05MqXJyy0MM8VYB+N0JiZXDr trBSfPJpX95za6ci8/3rD3r4w8d9eeg7NxoizyVnrfmgLhlqvV98L+DRaSyLr+KTIhqQYiHhJiWR H/UO6UVdJM8LAx/HvNqTbTo0ZKxKsqXq5fjyQ5FSy9AgQJM70wQCXv4m81/ZFiYpgaOXiFcYrzX5 rEziOwnrjG7y6+SSFriotMFaChuf9jb673Su61lyWKb3xeuxb44JabbO6IoYp4MblvgmSf4nNFLq P/6REy5yKq2+TiGhIA0LvTYznNQyU9JvR2aCWSoJaIZGRLDLqR+4cz4qXpcYKUrcM4FM5s9uf4qt dk2Y2+UeS8YhtsuQiI/Gg+1Fg2mEVsRrUg0phdLGtkrPyhWsljnrvPZpN4ZTjDDpuYjCEew6mSMc xFOCQqcI/AK2W0HmqUohUfqUAMuyiVTsGK5mBJ/mNh4/Hgktz1tvdHBzp4JHjweYTnPs7Daxf7ut WBQoglryj102xECL9uPiz0g33aqHcvskEFxufuUz5XyzVegqXCIHPTE+M4JOaahZtHo5vvyQ1hwV hHAow7RSKLREZi8Pieu5kUr3eyKS7VeHg/Oqn6H0qn+uvayrvJunjcLIZwmI1fASVy0v8QpKZsPi OSF/XdtBm4t+aZDOZG6QS4qSpy16PegR0VuSU9xgweSgZ0UgKSWvemcTEbogANT0RmmUGAYy3OQz IzL+nVe3xCCxWvj5FwOhclZVVFXiZ2WRYa1U0GgUXQuDQSoaiy03FagEDZRn8bOq6p2Jhpf5LQqc dRMMjz7G42kArx+i0mkgYT+eXcd0SsZRYOvOO0isADELNzSAMxqPTLU6pQVG3Ug81XGU4OBoiLPu BD98sy2VPuaaKPXFeeFnZH4vqFeunNt+f1rqCy7CERSLBkuUCkdG75WsDDScBFOLOlGcSZsVQ+qV 60DafJRXTePJv2m0vp/9hF/nEBEKGTKR8xrcwov0a3Tz53whUlgygxD3zaSH0L5oAloaxVJFrrik x08283Ns1zExgyb1qxkjaoP1vGAkWmDysgqoMGB41Gg0N4pqkiXmR9MICziUCjElyZvOm6ziGOcb M79y40Ybn947lZYcKhjrEJKDHgcBoVSDHp5H+PDhKV69tSYGVihxyCWVZQjI7U89RPbOlfALAkqJ zeJrRqmDR8eqQa9Rs2G7rhIrvSTpLnkmVvBCG9FsCsdtoXd8IHQwzc4ryOMJoomSryfglZ+fKkGS o8ogoWzB/r7AxeBsKiIShF+c9mP8wy+OcNqdyLVDx8XoZCYe5snjEe6+sYat7fpK3BPnmwbrzp31 pZ+rXkdRE2KbEr8WRlY2pmdyMLAyS4NFA7YqgU6PiqrYotDNjgR63C/zVs9luFmewLGVJDnHVcR7 q36X5PSqHAkKpMnzEsl5s8K3kpPKCMeeJ/5Mv7cYirJt6HlfY+F6ZJucJmJcOF8M3bholz8zNwXB oIqzabHqqP9PN+Ny0yx7VKuuq0Rx1QbiWwoAMi2J7DQRmwVRjmZ1ba1ZwWgSoV2vShWsXvMEkV9p V5XoZymi4PqW0LoI9xQrho6LBwcWzvsFbmzb2NkgDz1bd1YbrIODMxycjPH6O+/Aty1s313DNB6q pH3WhOPto1phQruqwkHXEgiEJLtJPpgoSMT2ZhU7O1X882+P8OmDgXBOMS/UG8dYa9ZwcjTC+H6M 8TQW9H6/O8UPf7YvXQerjJb2fFYNOVRK8K4VKK+K7VJsy9GtO7px3XympAHiM+VrmAL4ulWev+/D 7Y+P0WnsSPJUhYcqacoTS4B6c2/qAnm8AGKXv1E5K+ZtLjN3CwIOZpJzQYb8xfD1LOepXvSQuWDT bQ5ppqVh0tixC+pXtZD1ycv/58nNyuFFL5vaAHwPzUsmOb+lqpZ+HzEwghUi1YkKW5iP4UX5agI+ aajYm0cj+v7rOyJasb3eEPmtWs3D8ckERQdSxWPbTCp8ewphzlwXXxPUBB6M3tiGdcrgzRZZ+lqY l2tmcTw6mmBIyILbRmerjnCtjkFfMa823QDVhi3J9oU5LCW3WBTABYJGlKlpiB8+GuJ8MBWeqV2r CSt38OCwJ7jBatVFPMnwyZ9OBGbw+rsbeOX1dfnM5iAXmSkxpsJBYuNKr0kXNQSXyMqmUpqWKqfQ 5FzkeFnlZb8of0+vmM/xuqH+y3H94Z4PjtGorRuxeC7c3AojpZpcWa4Wd7+0UpoqOGPvoU6ekzb2 Eu/MZA41PS2T/UBXBL8Og/Iih1V6MKgS0a2S5MxjLH8ukdoKdW/g6veiEWIuRntjwiNVGsPlwVBt OmW7ioPA90R0gv2Kg14VjarakDQQraZCgPOa7SZFXBmiqXwVjQ0br4moD72SD70kOxLjJW0sBWp1 D7fuNhXV8zTFcZ8VvQzuGvNc6uDSg8+1H4UI/ACD8wh3brRkwRyfjiUnRh3LsPr0Xh9+dhofypFN yznlfe7uNbG31cYXD/qIkxTvv72G99/dwKefD/AvvzvBn/54iPOzibBnvP3+9rx3UxdBOK/Bupof RWkTy88FXsI5KeEluvo8N2JE0ZNypqwe8WDh72sNpUP5cryY4cZZjDgbo7AyBFZNndLpTJKpYoCE jD5A4LB6pNsM1ENkjJ5RaF3pJq28ANMxpf7lPJmu9+4Cl9S3SB/tqw6tZqwNTuVKSsOrB0MZii2o BK46vVcZLG4sorvXt+tYX6vh4YNzaYZeX6+iFtblNQxVd7ZqKr9GKEb52KQXrhShoMGbTFNUPPbG lfpw7Cn0CXUgp5VSBCLJH0OivmNh0EtxPiAINsN6qxDskva1+bwfnycYsRo4jMRrIqyCxo8qOWeH Y1QmDlrtC+701fmmGB9/dI57n/FzDSQntrHbwI3dNmaTBP3hRPBwb72+jh++v41XXungzp0Wfv/B KT76sIdf/eMDgSv89Oe35jlA8mCdnIzKTgRbwksVypGf/sIbZlGCStlSzfXZnqN6AlXxpBB8FZcu +c5ehoAvdrj0/SezAWpVG77NtoQccaIYHT3PR5qztJyK0WJiVQ8FR1CBog4lV1cQFznSV4FCza+/ bcPEf636fmUOa6RyWHyNUmh+Mof1LIObgBLqTAJftSHoZa1tVrG718LDh+ei9/fqnTUMGwHy3UJy QgwJVSijWn/0pmOYw6oX32PeX6cxcGK4lLdFj4J5LHpc3OSsIo7HLh4cTzAYZbDuZNju2HBLnQCy rtY8ijqci3ck1y+LN/Wqj1NnLJxbwhJxSZ6OU0dj+tnnffzpozNUmwHWd+uSf/v/fvm5CG7QaL33 xgbu3mlLkpsHxdp6FXdut/AP9Yf4z//lEX73iwPcuN3B7budeUhIb+r4eFR6naSzrpQUMsrDIj6O Bsv2CdJVzdK8FueChk/3DPJQeWmsXvxwaYymswkqlQayIhGgX+jxFGY52UFmMZ1OxgHmuEqC5TKj lTIkvOSNdVVwzn21xHiwrHX2bQgFCeqMZqw4kVnSFzK7WRyJB0k9Pp7ESUpYAL+vrjRawhwaqsWt +v5S8V6+rPq16UGJ6vJTBjfhrbtr+P3vHwslzcnJWJDf9FDMqqT2k6uCnFdlfNLQkPGThk0Q4CX6 Xg2VBxOPjMVgjxQ4ypBVWVhABdPRDP0h0KrPEHoUg3VxcJxjNlItLe02wyXVqkRPTilQu4jGGeK4 EA741SNHswZsb/n46L7Cm7EJvH88Eb524sN+8q/28bOf7mJnR6lbo0ze7+3U8fd/dwt/+NMJZoMU X3x+jr2bSkqMn4WwBhoaDWiVcI5rswz1WLFkRZJwDj5LCsjyAOJ88Tpk3WChg/nHl+PFD9dzKnDs QMk0CbLdQdVvKy5s1v4cF47lwbG1m6xWMCGC49xGnJe0B0tj2ViZBkryVoal+yqYq+c56F2OJ2NB bNM4MHyh9JPvB4jiGJPpSNgWAnqiV7yPwBBInRsp6amvM/XKTdjZqEpf4Xgww+HJCPuDFj78JIbt qqZdgTqUHOfCW56kqsJXovSZhBbAZaL6CVkp1FAL9Q4XmDZhTrAtoVzeatObBHqTHHFkoUgtPPgi xYefnaOx7mNnh6KyNvqTmdDccPA+EkJPr3CxeZ1WxcJbt2r408ehJPH5rP7mh1t4/511oTsi+yrz czQ+pFYmbopq0zQm62shmg0f8ShB93iC/+s/foidvQbe/eGO5LQkZ1UmzzlIjSwyYawMjlNR7aHM PWEnbCFixZavZc5L0+C8xFd9PcMV6lvSxFhB2UbBUJ19XfJrUPRcVwCVrVpsclHsok+Oy8I/rnsT 86SlqL8Ng55Us9EqGQj4mdnjR6PtwXFc1MoP6npqsz1tMOFera0ALxaQ5miSJ6o8CUGFgeRAnseg waQ6z2g0w6OjEW6fjKWncG+fDcql7FRZOImSDOuUyaLiMXv5pok0Ss+57HhwFYptgWEZwyO+/7wF imuDCWhWJaMcw4j1QxvjfiJJ/z983MVBb4y/+utdrK9VxFMZnUWihqOHhJpPMViBY+HWdohbu1U8 fDwUQ0vM2RtvbUkfpTY29ILufdSTaicFZl95vYVa0xEvME6nGBzOcNgd4vCzAbqnY/zNv74DL1dq RaquZAjxiVdrIxkniLlIqWhU0u9wSC6RRr7ke3+JtXrxw51FE3SLIwl/dtdeK3+sgUE8hekhXLTm 6NK8QxoS86XGX5qEd7pCqH++bJy+TbkrKaVLSVsae+YKMXO1lIB9YKuJCReGfN4LsC3xQbNhXOJ6 cvROpzg4GshGf+3VDWxsNwTB3j+fyulNAYSvUmmiF/D2+zvShvOb33yBj+6d4ac/2sNspvJY3NT8 iJ896mMcx7i110QqhJ3so0uwU6rpEAvMhLtHkCs3rzBvXoCHyfYwHMSYjjN4bR+Zb+GX/3KAdJqj E7DZeoT+bIbXXu/g5o2WomueRIqepkxsM3FPkOq8I2zFZDpWjtApBFT607c7eHwyxeOzCQ6Ppzg5 jbC3f5H7moxTfPqgh0mW4bA3RpctPK834Ts2RrMIp+dDvHtnDY9PR7j3wRkazQDvvbUj7As0UEWi NARFJ3KsAKC9/kQgDWGbEhrGeilDSibrT46GIjvPXNZLw/XihsvJnU7HgrvZbt+BY0h/SN99MZMu eM9ZTDAIncsK5nYaJ5IyStPoEhD0CcWcb1llkEKfp90zzKIIlcCXJHc9VIrESZpJsljyWZWahImr hig4ly0cNFZHjwb48IMjfPbgDJ1WRSiJqV683qzKZvnNnx6h86gqoqEbWw1pPj47nQg0gr9fSQ4X ZVJGJyg0rLqSYDY3Cb/e2KnjnR/siMw9QZsnp2N53a9+fYSdTg05H7hdiLFikzYJGaUZmqW2kixR WCTYnlNT/F1aNUY3bR8dTvDRR+fS6P3aGx3UW4rkjpXEj096gF/g1Tc7uH2njVrVR1hz8flRT6qD ktgm9fMoxn67KUn8lc+EJ1yeoKA9sYFb+xX8+J01xL/LcXCYxfi5AAAgAElEQVQywiefnKPR8NBs qefB+5dey6Yn0mCPvxjg//0vB1hvVfFvfn4TjaqPn/1sFx992MX//v/cx/0PuuJFvf7Khsw3W6XY h3lyPsGHHxxL6HrzRqdMlzx5j8xl0Wgxvzmmes9oJCKphKy8DBNfWGtOgclkhO7oCBut/XlJOi9S zPKhGCyi4U1QII2VHIpLmBsJ+YzWl4UTaeni34ZEuzmE/dL3JHdFLFOcJKqhmAwHLkMpJQV/FdOm AoUqxgvmPD78wxEeH/RwY6sh3ur+VhP23QKVhhIenQxjYfz8pwddSdze2m/j7u11ZJ6Do4Mh6o1A /tODyHcmnBmWhSEPG9L0ZvIaEV0QdHqG7ulUDNDOdgOfT2N88PGJwBW2N6r4/OMh6msO/vpne6gw XyWeVC4SWXkEfHI+QGuNhIxKJuz0dCbMnmzcZmhIEsDBWYzRIMZupyreyvGjCR7ey/DgwRDdyRS3 brdEHWh7py5sncwvHfVGQvGsgZqkZiYbqtAer2rnIic8MtD5UWKdFjbrLt57pYGHB1Mc9Gd4fDJG 59MB3nirI1W7St3Brb0GPj8aIgkyvPHmJh496otQKo0kPadBL8IP3t/E6ckU//gvj6UYwTl75bV1 6f887U3w8QcnmBxFmAUJqmEg+ow0muSKN71fEXMdxSLlxs8mXGiDmSx8erpftdjyciwOl4ognF2v Qne9i/XGrjA5crFkRYqEK5hqt/kUPhP0lvqdyjksLrTMlHo3QHYaxf5t8qZWDXpPjQZL3gLWAFPr YrxZ+ZuHeas3lx5CD+MpdlFu6M8+72JrvYJ/9fMb+OJhX7wihkNpXkh1iwaDnsduXEc0zdCl8ToZ 4sZOG/v7bcyEsTSXU1uUoNn24SgJL1oaVqxI6Svekae8ltEgEo+DUIWbtzroD6fiQfenEZLjDFud GqbjHP/rf/wzXnulg7/9b26I4fv00wE221X4boGNXYY6CYa9BL1uhHGp19eqEd6iKFtn5F2JLPRO Enx2fIJZnuDV1zr4q9d3RSaOzb700kgT8+C4Lxua3FucvsPjkcAoyCU/PU9Wz6Vk9llhZVI+R1KW Nul98j23NqkyDdz7vIfN7Sp2QlXle+uddVlrn37Rh++5+NFP92TeOE8ffXyKX/72EO+9uYF//Xd7 8n6/+eAUtYqPg4qHY2+I85MpTh+McHQylKoraY63d5qotAMRuCCbKLnaCW+gt8scGudmlqfy81a7 IlTIDC1NebaX46sPmU3X9VBrNBBPY4xmPTQqayrRXrbrpFmKJJsJtobwBgkJNO95uXe1oZrnrMz2 m9JYfcvtlQzdMsOxYJaeRQDDAob9qCRcVVQkR4cjSbSTniXvVLG+UcP5cCpJaC7q1noolCmNTiCU K/cf9XDvwRneeWMHt+52BKLA3NZcOVm39DAvxrzUOEEimykVpkuGKq2ggq29Bt5KtvHne0dYX6+p tp2qg821Cm65bfz6dwf4p395jP3tBpJJhnqFyXkCiBn+AjVijSoMQRNJuB9PFBPE8fkYg9kMYZ0J /hb+3Y9vodUKMZnkqDV8qdBRYJTey6OzAfb3WmJoKT9PMr/tjRo21+vCynDlxNoOpoVag/UiEyK9 caEM9vHhGHZoo5jl6PcibG5VxUg3mj7e+8GGMDt8eu8MnY0K9m400V4LsbVTxz//6jE++fgcd19p 4u//fhezKMGfP+ujtV5B2PKQTwscngwxSyjekeGLhz3s7Ddwu76hCBSniXjPssaJ1ZpmIlXPAgZD 66CijNbZ6UgMpepOuOhoqDdDCT9fjmcfLqtf3FSCVrcL9GfH8P0QoVsX40TAaGLFSPMIac5KYik3 LvQoT3pXq9aepEW+B2031xk8cXmSs+WDuayNjToeH4zw+HCAn767izd+0JbEPqXVm0FVQtDeJMJZ f4wOuciDAL3hFNW6J5JVjx6fi3dx++4aooA9fE+OZicU7ivOPYGj9LR0TouUK2LM/pihP4zQagXw QhebWzXxlP7H//Y13H/Qx58/PsODgxF+/9GpeNDrrYqwNpD5gA3RfHMBdtLDIYPqzQZ+cmNbKn8K k6R4/Jtthle5YKu4rkZpgls3O+gPpsLiub/dFI9FcGXcwSat62XDshEXHo5jKuJkCH0L77zaxHCQ 4tH5BHbOnkcF9FQeMKR96Ec/3sLoP8X4za8fodUO0B/NhNnBrzm4/9EYjz8bodN20GlWEEVnGBxN UbU9KX6w8+Ovf3wDZz0K1I7RO59gb5rAt30RRuV8y2HjO2LoOeeC4Ge3QMBuAAdbO80yGlFQCQ4e BPSAh/0Ztvca31sFnRc1hE3OcV2kaSLASTpQST6BleWIiwizdCRI98iaqHBHjBirJRfodt12oxt8 TaZPCWMuoW75toeIX2bwRD15NMTvfvsIjw/6mEQJGoGPV2+18crdNQn/yOS6W+W/hYRKtYA86Rs4 G80wnkXo1KtATRHuEWbw2adn8r5vvLNdtumoPJZuMaEHp/Mq+hSn4Tw7Gcv8C2d7lCGaxHA2Aty4 2RIVahrJk+kY7727gR+8vYGz0xlOT6c4788wnLLpmmIXNra3auishdKSIw3uQhR40dPIChoFWGmg w7onrzvujWAHDna36xJaVRwPG2ENw9MEnbYNr1FCZzILtqfC3quGeCkO/THyb1F4gnNaE7JIepUM wWkseG09D6R2fv/9TfzDf3qIP/3+BFs3a9jerKN6y8O9e138L//bnyQv1ulUhXL5j/cPcXA2QGrn mKWK011oZDIl+UU6HMFgFTZqLIjIhVTTuoBMx4uhrZofzhWz8xeGiR41eeoPvujL12ubtZeG65rD VcISRA5P5YQK3aoARYl6z5EoBlIxQqp6pMr8moddpeeXQ0AlXvmUFpZnoCz+Lg1W5f6P//sDTPux 8J9v1aq4udfET366h+39OuoteqiUME8k4f7ea1siwXU6mGBvvYaj8wnOJ2PV9mQDO+SCjzN89OGx sFW++6NdJQ5B6SmDF2s5rdY7n0nljddoVn288voajh70BSjZ7Y3lue1u1rFmVfDZcU8YEDiCNQc/ eWtb/ubiMSqBXWGeoMACebrE27MwGM3Qm06RFEri3ooIWQiws9OUjXx0PISXEhpfoLbhYLMS4PQs gjXhezjIfOYHidu6UK+5bLD4keSOCPWu+RbWGzaqgQOfXuogxr0/91EJXeGv6myGqDc93Lnbwk+6 MX71h0PhAlvbDlG71cb/9D+/i25vJkBZho0M6+IsxWef9QRs+uZrGzjuT3F8NMF6pyaMp6enI4S+ i4C4xdJIldMjg5VCClQ8jaVBaIBCF/u32lLt/eLznjxv5uY2txsvYRFXDDeKZqg3WkgTniaRwh5Z OXy7gixnVcyV/EGUTOUPAoecRQEyls0MIr9VDc26PWdlCws9A6eEPyyz+H1HB9cpAY7b7Sp2bm/g 1n4Lu7sNVDs+1rYr85CKgyoxFBDtns4kTNv1HBx2R9jfqqM/CaRHjwbp6GSEKE6kBeTeR8cCLl3f qksuRVSOZ6kkt5dJ/Yj34mZohC7OxxPcuttWYUsM9LuUhldcUHsbNbx5d0NI/Njgm1EV+myIe4+6 8/cSzzmnSK6LWuhjOstxdDYRI9lqhLi522FuYY5+l/VgA4ePh0CcY32vik6HEvfqw2+sB/jicIqd fSV3xdYXtu4QvErP7apB2AJTFbx/isAG7rTUxLTwwf2uGCDZ+AcVvP3OGjprAd790TpyFPjHX3yB Dz5Icfu1PnZvNlFkOT78wwlG5wnanRCVhos33loTj3HnRh2v1TdwdjjB/Xs9OOR9myQYjiPJUaVU GarwPsw+Wguj/gxTht4MlZ/SQ0rDRewW/3s5ngHWwEmdTqaoBQ1VCQT19BzYuQunIAWII7zddKP4 4MWjEm4mTYF7wTUlBspodn6aG/V9CAulaGYrA3xnr476397B/n4DO3tV5Kzy6deUKRv9kRlurW+F OD+NhDyPFTiGhMQMDWcJjg7Hkgu5ebstAM0HD/p48KCL9c2aUpaOUoEzDHozdE9UuZ0bhR4CNzC9 Y033W2t4kvjmaR5YDs5PxkjjQoxlXriiDM1keug52Gs1AZF7U0BTVgt7g5mAMD952BPjEniOeB6W n2GYsP9SDbIdrG9UELoOzs9nuL1TQ7t1Yaw4AqpZk8ZmQqkyd95/SZZRaiheOdfk5SpsHE6BzLVF lLQ7SLB3Zw1v/WBL8n30Xh/f7+HTj3t474cbco2f/mwbezdq+NWvDvBPvzmQFh0WCYLcwd6NKn77 8QmmVopWJZBnyRzV7m4o69l+1Ee3O8FmpY7xNMJaUYGXWcgmBbyqi7zM6Uq3AivAaY7B+VQxaJBu puwMmC+W8ouXiIdnHy7bcaThOahgo7OLmr+ukO3Uu6NSiB0gTiO4mIrsV0GoQ0E6DQUkNREM6ZKS 8nUqg9/FRPycbpmRTil0QRIFpk+q6yH21gMhyRNkeDk5TGHo1nECanUYzaRrs+2jfx4JEvzx2VAa zzvNUCph3e5UKoSPHw/EeGxvNwTzQ0PFPJUwOTSUHuHZ8USqV8zjUCCBoSSTvZTuGkQR9vfaIjba qlcQ38swGMzwyb0uatUAaZZhEikeeIb+DGuEj5wMER71Kn1s7Fbx5rsb4k2xvH92PpEk+OZ6TWTc +XmZ8xn0IzhVJcSqSe6WM+trHR9HZ7HguxQUxJY829MMFgcbl23pbbWwt8+wtIfuyUQME0OtdsfB 4wdMc1DRPEdYVrO3dqv47//DDbz2age/++0p4mmOt19dx1vvtFDvuPjPvzzAzb2OVPsc30F/OhOC Pxq2wekM+05b4DnHxH41K8ynCF2zW3HhspDgsjtC5doI3CVXGD0ueq6684E3wsop+fdp4F6S/D3b cD0nQKPahmcFqFaa0iLByZUGWYtUuqwMBorEjw2feYaYck6ljpL2rpYbmrVH8TQ64u+KvVLAxfLf 0ptyjBBIvATySlWN01RUPtR/ekjDcfla3RVAT0v41JMcnXpF4A5bviclfy7ug8dDYV14/Q16Cdw0 ion00ec9dI/HaLQruPXqmsAb+uczabpmYl4MCMMs0fuLMZ3Fc9n7wdoMwcQRXvNZmggmbG+zLUaO ZX7CJciowMYsYVYoE8izPuW/ckG/37nZkQ396HAgxQHCFJj4VglyS+hdKMtFyTHyZ9E4a6+C+au1 lofuaYSN7YqEx+dD8qCvFsFdHJwXVWTorIe4dbOOB1+w1aYLv/TY0lmG9SbVyy9Un5kDQ1DBq295 2LlZE6+VwFq2Hv3gvU189tkA9+538eOf7+POK4T2AL/9/QGGkxnW1mqohi6mwwx/+OAM5+cTwbq9 /c429m+2RJqMnPqEN/ADSP9lxUW1Wl95cI+HsTyr9vpL2fpnGe7DT49QDVqIZhFmwyO06jyVyeo4 Q6PRBJWhha3BLUvq0rLBTnXV3a+9K01XYj6YZQqZ5aHDyG/74AZi+qnUglCqyEtGSJgLronVmodP WhRDmutcnJ/HqFU9WBOKoaZwCkXF0mWZvSA9cEVO5sPHA9z/+Ax//vBIPKaNjZrQ87757jZcz8Xh o4FSYyZThG2hWWEC3UKPYEZYODwYCkXM7n4L3TNXeuGyGS+Qw6taaKzVJOTTj4biE66tDjHefRKr amg0UzQ0IV3LQomL0giQAI9KM2xZ6WGC7jmZLnKRCvM9rWcIBMyplUR4NHLk2SIav14ypF5n0ADv 31AEhZ/d7wv8gIaJWKw7d5vwgydhA77rwm+5wriqdThpXH/6k208/j8/xacfnIn3Sgzb3nYTTTfE qB/j0aMBTg9HwnjKammSZ7j30Zl4vDfvdCQuYaO0X2NOzZZqOW2k9Eku7QV6xYSbvGyafrbhTsZT /PK//gaTMYUwC9RrDcl7rK+v469+9nN5kdYlFNI+dqcXzMvYC0bHLn/3LAboRfK3P6+hwz0d/plU ImaRSF5jfQWD6KlwgonnRiXAYDBFu14TT4mo6Wa9grVOVUQ8P/vkDB9/dCyiDO+/ty1yVweP+/BI 80KBVsqlzxLx2jrtCkLmx5KKeGX8+WarjhbxYY/62L/RxD5aiNNEhX8MhQYzTGax3JtIfdkZqsUQ yXQKyw0AhxxSEIWds/MxqgGpnivoH/hotRoo/AJT1U0tyG+ypa7Xquiexcgt1TRPj42GgtfT7UwM 6UbMa5FP7Bn40GmYb99t4ubtBiIWDsirHpKj6mqME9cqQ2Am04OKjbuvNPDv/u42fvGrAzz+vC8e Er3RelspWkdFCju20CwosMqELY2ugygln5cqfqjoRL2/hlhxbej8rrqw2jecm5fj2Yb7+rs3cXY0 gu/tgcbLASlWOsLRznIxh6lHOMssTHKWdEuhhEve+FoCqN8SWplVQ3tMXHSukX8yFZ7tpXDxq3SN idEKycueibhpfxQJTxXzIEzi8tqnxyP88YMDMU43bzXx2htrUjUMHjjoE3KQRBgeR9LywqphJ6xg SkGRmepzI9Keifnjs6HI2d96pSNGbJIk0uaSRUpDjwnwtVYFw3GMB5+f4/PjEY4fHmEynEj/om8P EQY5As+XsNVzqfpdQVhvibLMoB8olD+jIyipMiL+NrYqChkuRRvyTRlYrpKmmaDTwTBBm/CPZ51D Gr1KeeFrjNE4xb2P+/I56WHt367gnXc7IiR7/3CCtVYVnfWKeJPrW1W84qwJEykZTbWKkZBaisy4 ftdLaJ7LVICJTXw5nn24jm/h9qu7qNdaMvnpJMfG2o35C5bFU02Eu/aulillzN9dNuRX31IPSxsq HtD8dx7qlslbGiedRC9//JUHvViRksoS+EGAVj1Ar88DRDF6nozG+Kdf3hdv5s3XN/DGmxtotyuC c6LXsrfTRNggfq6Q/rm1tYrklzTlMZvXCQkgnOK8mILPnXgqGhRWB4nXypNcKe1Ii1aEYS9CMopR 8y28eXdfQI40nuTZIskhFXSIDSPeq1EtsL4eotbpoCgcOYyIkudn4jWifgKrZsGrKvCpnVkg9+PC vIvUuyttTbVaAf8SBofnMeRAZUXzdgPbrqvYR8gkG/j4yV95eKfwRGtTDKnNJmzd2K8KUibHm1Z7 umq9myK+xKuRKfX7UCH/uodkKMWNzTNhWHza4aRFC8whvOBLG/dpyfZ5aPUteWj6fmismKvSIZ5e mHMjVoaI5hQ8l23Fa0uFyRIDQIAiE98b6zz1twQISqaAetPHrTsdQavzYD/rjqWK12iGaHVCqZJJ Aj/OJJFNtgXCHNiKw6ogwz0yJNCg9M6mxHNieD7Bv/zmsSDVibeiijKT4q26i7fvhnjthoPbd9dR b1SRJAX6A6K+MxSuAyvwJIcl9DBl0zzfnOEpUejUcObE0othu1LbC0GRaEsEIp+cPL6PNBaL/h/9 /ec/uFZnOZA6jlBC8/lqgzRJLbi2Nw/fVJGkQNVK5aDOCDATaIWFOC9Vo/gRDeXwp6VFtPrOt2j5 f2eGS2aGIKgIAI6APOYOzInUzASKMrl03+f4Z0P4c2nmnwpn+JZgsBTNrzJIYoxKY6VDP90fybyy kFJ+xdDvqsEcFpOx3BMEJW5t1lQeiAo13BCk5AUFTwOpfrFlZHO7jkotUFWsGqW5bIE2EA8lQiJC kGcLawJpk4Xpge0lOVCveBiPZ9hcD/A//NtbCDzSpySCoWryPZsOGmGMwEnREfphNUkbVUIKCglr uInpgRDHlTInxRCaeSrLwiwrMMxySSNU/ALtTQJnczA7RmOnSAAX14rOZQkzqiJ+fe5zToMR02At MYhooHNGz8o4wPhZWJV0igxOoXo2YSkZNIGp8L2Mqrh4a2Xv7GVLXPfYvwjx4O/zcF3Hg+cwF8F/ QxTO9IJWdFmqXnNgGUMe6jX6V58YZQXlm6JH1puAm5panTrMM113Dv1zGrMvm1S/9j0xJCqVm2lw qqVCTlD11OZdfr1jY3OrgfXNxZ8zF8T/5qN28blcNj/LJiwQsiev5uGNrQZCO0ZBCiHbk24G31F0 ypZVeyI1oJYHDZX+SSHGPNDScOUMVukpOtS5VMbNtwtJ1PdSSwo04qUUPCiZNbp4b33+ac1Kerbz fOFSePVVxqUHZnnNi3uxkMlhzjnNhOefBko3E0nVWJKcykqJQAurvwUricoom0MZwfmlLgznS8P1 1OG6KDXkCoor1MrM4JPGioPAUd8qiIMHoaMa667DRLPp+akN+CU0wOR3/7qGGKGSFE4vNolojI0w T6yXyfUXbazEmCwh4c3fLZ0hMpbzhk+rdNLzITil7hbwSDts5XCKIXKMZLORsBGFMlRJTl/uSSVv bY40Jm3+80tI+KRdicasfDENW8UtMM5SDBJ6NI7qACg/oFd2UIiXojf/nBGyDM319a87uSvuifcR PaXXVRsQel00uLbNxZqXoaElGLo5iHieUFeWh8+ysJ0F4eCrnruusJs54ZfjyeHSgRUq5DSWkDBw q8LVLcvGYBgVIClPUjE0ispDcWYZoaExlg3YZWPVRnyRQzZQianiZbnQuGDmkAW5qYtN+YLt1BP3 xmvOy99PKVBcFo6bv9c5ucAu4CNDw8lQd3I5eOhFxCkwzZlU9uG7TbhORVpfhqkjOSidBFB+hp6j AoGdI7RTuBbXCpHnq7NNWrjENGZEeDVdtZYsXj/LyyS0PJESFV7AomKRnCKFQGlyUNOwDCO1R/wl 5lkwYDYwKWmP9M9EN1gDofXPeXkJ+XiPigMr5oFdEERdGqsykU4Tmpfeou6RXRVB6INQJ+r1e+gP I8y9Twkp/1KH63lMMCaI4hFaOZtEMyVPz8yoMebYowVPRBmtEvS++Ppr3oC0b7zgpzKXpCo3r4BA S1usDdbXaZiuGuKIrKi2rmwgv+RQmEMy5sYKqFoZmq4yVuLRSJKFYV1Fuhn4zGmgRpmNaW5jRj5g 48CSexGPR93QNI9Rt2eoOImqcOa+cKWJfuW8x7TMdV7SNEdQeIdXLSxMM9Jws56oelaVeVSHpDKF JMIrBP9H4yUYvvzC05tX4JbmwRxlSmx+GPH62lDpguSU4huaKsk0ZKRDznl37Ku9gGLI+5b3or/W IZ6pcq6NFA/7iiO9T5hk9B6f9JS1R6x/LgWtl5ZLhptZOaI4Ek73SbMPx3YRug312/KxmZptsogk 91ooiINIgF2EV/OJvaYFeJENoJaxaSVvI6FJCQJ9jrmQ5zXE0JSbaWHTXOGtrvJsJeQV5gjlhYTI 0HZTNNxS6ZnUDAthHPUlgWFmY5R7KEqNQnPIGigyuIhgWwnNBrcw4pzJAdYCHfjMfdmkJ7pg8tDX WYTHXIR4VYcGqcDEIeAyVwrTKESkN6EXQ7S/Tr4XDGFVSJbCAe+C3qiGmMwr1eVc6U4CfSc0DiZm jpAt/bfas41osJZweKr4QtN5kWtbNpKlbsfcuzJDexoffk7WGfhZQytDVuSoeDTUqplbQkxD8k7v Ke3taaNV4C97iLRmwqbXwRRRZ4ZqpW5IVF0YFM3qwCHVNNlUKvlIEc75BJeTqtDM5QnxDUy0PqV4 irLTQ4cPzwCg/kaG3kxZuYE0pIIhx6rOgOUfaY9RtFxlMxaoOSlqJV2z5uNnCCdeDEOcAuinpCIm tdDqzJB41hKw5fCsGVwy9hVKAJUGi/kcKizRMQuE+1+BjmXzL7kHel3p5D0NayAGy8idlnmsJM8x zS3MchuRYKByCW15L/QIxahlRu6x/EKHazrc5wuESLL8HGYhRXuxZr7JxFppY2HmquawHKNAoCqM ixEDX0OPvkqvSqSJmf8leWOKGtudLD4fG6QXGCUUlVV/o99HvEE+R31/+V+20XJFxJLCmgWxO1Pp mueM2Y7mb18ezF9kqBQW2H7GDNiCZ2B4WbIY+LPs6/ewxFjJQlGexrfcTi0M8/SmIdA/Ww4Nlk9c XSDQzBGyuUR5Rh02NAj0VqaZiyJnTkhdhZt+Rn6zKx8GK3suoqKGtHDhUHqrjIO4BZmvsfIEaTFG msfwHaUSNEttgUn4shjy0mBSvFfBGnRaQfsnOmmtmEVtuA7XWyGkfQzJCOakNxIgU/AIOKI+rvN+ 8/7MUksgNQ4p7fnwXxr0pmRwlSHjzzk3ZsrJDNX0IbwKYqGT5XI9gwpcGzh69YRGyO9IRUOP0/Yw FiuYSyGEwyvXKvfMNGHrk575i2ggLznkdKvcX1qC3mV4ECcxwnqIOJvBT31kToLUioTPXatBc1Dm ioKrbIRmwjXKHYVZ0SHhion7RryrMuyTU/RLJma/6aHzLJnhWZnprbnnamxUGioJAcuQl6e4VaQY pymqDvOSKuwbF1R2XiSeu64cFQsxOSoU3zJyWmmZdE5lDQ2zAm6qVH2S3EYLFta4OHK2/pC+hh4e 3W/m0lKhY4mjSDw/Nt4rAQyVXA9DxWbgU4KNho9ahlJdVKGtOihJ46OS4Jn2Upe8H7k7w0MR7BR7 CSn8UxqZVRt/OQdl/tys6GlBFhViXqhAy7XoJRc0vuq5yP0IYJt00zS2xLGp1AojAmndIT/8Cm/N Ke9FPEjjPv9SjJbbfTxArz+EnTsIKj7CWzXYTgzkI/huAhchXIuMiAWyNEVO8BwRzjlPS1dODA4T DoAV2YpL5/NFTLSxkb+LxkoP7XdkK6bKZHadwy9kQdNbTpBlzC1lcK0ZMitFP67AsasYZg5mFJM3 IBsLVV7mkcA8kS3h4WXzp/NfklLIvVKExEdaVKTaZwIiKKyaFFS9KWCnpFhWcu80UDws6Sp9+sk9 tDsd9M97CMJAjOHp6Rlu3LyBOI5FuJZfh9SF9JShEchBlsHJWXF0kAiFssoFzfOqhnExD08arnFa elXXXIMql2UQVJYPRf+5ypfmqDBHZTmSm5qmwITeEvNYrjJIJpGjBOAyjxdRCr8uIXjz1IZu/zEP M/2NoOz/Qrwt98Pf3RMqmc2tdSSnfXTW1uDT0/IC5G/HfKsAAB0HSURBVGEdXp5Ik6oIqTrkR9JL nEN1pmt3VbvA5sTpsPCqKsd1KoVmzkCuXFpCM3exKkT6LrM6znNuBqOrHuYmMRO0KbnKhI+fm8BH gBlSy0U/I5OAJ8nq5fDJKb0yQhTqdorQJtjTwogetOFhr75HtrKU96iUdeWB6wS4Ku9biHIXIysE CbZrvF96CIWSmKN3dXZ6hiDwMR6PpQjkuS7OTs4QhgGGgyGazSZ29nbgeb4AXomuZ9KcBmecZsIp H8PBuAwRleZAabBWePlS9SuN3nWG5Liuqthq4yLFHRtRxoS6gjbow0Un8aXwU65XWbdG9Z0/m5Vw CP1cGSay73KSLoab82szijDgGN8FFpSnDXOezb3vbu60xbS3Ok3EUYJqpYooH4m7nedkF+VfjlHx mooArUzKkh/JJRartBxmCVjWr1HlupLI7xoGRSceLwoA5WI0S9p6Y5cX1Yvn2zCUcIeqMQlqydA+ fNrQH2G5hWQe+prVKmE8cZAUoXhIoilZOEglX6Uqd+YzEOpmbiIiu8v5YvW3TpXrMgE0yJWnZX4W M3xkPorv6dmEJaj3Ym5J8jWGJ0h8UmL5iCQPlmOSKHClRxUmz8arb72NWjVE2N5QVUHbxautDWw0 QqT0sALSLF/kVHlH9FYkYW8Dw1SFk22nwNhyhFFEQqqrnsu1n8LlPYJmNVHDFiwWI1jBLI2VfjY0 XhOuzdLTMnFX+vBg+MjPzz+jRyZkkbYKYWc0ZKXhMylrTKeBE6P3nwmr+DrGQpHuK0Q380qrgYUT 481D9fVXX8csG8EPPVhC7s+p5glFg6WYRa0iRu6k4mWpG1JoZL9MGOqFfymA0XDNV93dlV3uutfP yEWJOov5kIwX6wkzw51vYriFAlXqhLdmKOWDmOQWInKKFcqosA9PhWIpHMcX5W3jI61M8s6TsGZS XpLKNjKDBiEvlMCBvrac9EZjtxIDVQler8gxo0AGE/WCBi9gkw5GL6IsU94ZQ0XhMWfupcRM6a4B fWAZ90nPS+QHCVSl2WbFj+V9LkACIiwP1sYNTPlOFZsd+Yojvb2Bipuh5iziuUyDya+km0mzKlgZ qlmObpJhyjBRguQXAwnQhyKrsFVbwS0qFhWgFXxkGchBA5olpRfkA1UlRLXAssqvdecFDbF2AKRd yFJenkAyXPV7enEUPNIHhNnyc1ll+XkNU8th5R7WEJKlPnfTmdFGVX9Os7dyXvAogcL8123V1xFm FST5FJ5bRZxMJbnOHEiepahVmuzz1FkN+Uu9Xio2MKaEeLnxLstjzV26Sz7UVT2FmjvduiI8vGy8 yHCQmzeZjpFniVSA+K8fVCXj5CEXJHijyryRhnyUHOdFgSBnoneCOKf2Iw8Bmv0YNWeGwqphXFSl v47jsvDDLLdzZGZS2Ugczr/U5XjDoOg35/uw349AhNQq0E94f7bkuwgiLebgWoY6PO1LipUSJyUZ K92rWBpD2Zw6KV1CDKRcT8Ml96lxWDp8VEn4uTEqiSLHVOtxmItbmoOlNAM3r/Q2kprYZmUxxTTL MJS+RZUNHGUKuzX3wvWzXLGZrjP4900nwaaXCc6Kf0cvqJd5EhIub2K9CTmHbqpYHsy0hjY4ZnJ9 boCWXmeVhpqfmf9yvsULS8s51sSTLyBM1PnAOcRihfePpXUn3xsRkv4MZuRwFQGovqZbq7fgJyGG s65UMupBRy5yNnjMblY4rmqGdssG6YuggnktFULMyhWgk4nz/tdrTJJ2qbMrfvdVXMvnOgp6lBkC ZjmLGB/d+wNOjw9VqT6jAkwNYeAjjVlhtVGr1fCD999HtVq9CKckfCKJ3RSwE3jwUXfYbTCFY+VI aQxyMjaoKpvOBS0YbI3VKo28zl0sYHSWFpGwwpbVU12C1zgftSksjApHEOcak0S4A1thLk5KJsoX uZ8uGDzU/5lN2noxy/2bgrpceBpOMA9rVzzoUiEnyii2sfwwnlxgKoGt5qdhWQJpIf5JsS0UmGUZ jmIizB1hUaVhG+eu5L7miXTDK3kaupzIe6GlyYEB71PArkTiKxZVzvWqsEyYTlP1+aVpXDHwzOeM XzI0jJILo2We54VBP6452/iezHFpKIRuvxSjoCOc57AhJDeYXZNGZ/k1Kwz4wvfXeD+XC4Xag74X Ikt5/rhoVdfRH52IGnSSRCL7lTgzab1gxVBViJS/GlopZsxPsLmjbCplDG5Wt1bd3MK4tBT11WI6 wSTpMNHk7NIu53XzT3kKF2xDicVz8hiyFZbkGOwsxmw2kzkJ6lUUSYTxcCDJYyaK30rfQlEsCg0o TySExdAoH0so7pUelW/bCPIMNGUmdKG4ItZnyHUthaKylL/gbut8Bw1KOeHm7/QXOhS57BrmvF72 e60/KcazxMbxfq5qLJfm56tSBgb90fxnErWqPlflnSsPkAaK7BGpHDxq4iZ5gceJJaEqh/Zs5jQx K64994IsS3Jy3Vzx32flYmXlnCkAvo5YxVUbUQNDNRxCDiCjGKJxYRIGlay3y1tinsukh2y0FfnE l/Hvy/mmUSuY/8KzDb02zMPtOobqhesS8gaonpMkM9gkTXMCdOrb6A4PpIJDI2bbI9lYVLZl75kG Ioas1uSphAZMrM7L62Vjqf5wV1UCTbUdPXSy/qsg0/WC0xWUi7cqmSaWnrw2YhcbkycoDdUAnpUI 9QpbUPq9c0yGEfb3b+Du3btKHVuoLxhUFRJSJ2kMyylgBynifCy9mVTTlr47gYkIUERgAVFGCTUb vu3DZ2sU5aO4SIzytzl1eqGbi+k647LF9jRjs/C6rzDm4WumNhiBkgyhOFTIufRc5Bky38fK5pNh 4aoigGnApDlfvlVPlZ4WK4ssFPBno6TAMM6EakcbBDEaBhJfDroVXpI1D6XV+869XOM1TztEJGnO 9ED2ZJJ5fkiVP6cnWmB1yxF/RuOkqXh0qCW5LnKcle1GtFhPCw3neUcDtf/EAfYNDlc2EEGFqCK2 ZpLDqnlNbLT2JWfRHRwh9wvM4olsSCH5c9haoAJwPqyGmyNJU0wlH2OECMa4yu6srL6Uru51hmnU FjavTtZdfLtwNxro+oRrql9V5AgQCVcUPycFZS0iwjMXcTRGq+mi3W4bf6dWHI1QlkeIC6rdMFEd C34to+wyK3dWDJeJQdlQTDoTyxQJZU9ejJAUgeqXMxgszTnSBHHLbSDflaG9LfEiiOpOy1yMrTwf Mp5yvtVrLUwKF1kMtN1MDI45Fsr7lyQtzeoVBw2WQA/YEWnZyJKZwCjoIRF5JtempJ2IrVhiLOaH hFHBmieLS8NmigjPmR+uYSA09GFhgpZeow0pB6/NORPGihKsyiHGqjSCqRFuSlI/I0EkFcGXigFL ifOvw5PSFX8NfjWvNa/4X3J9l0opAgDMc9RqbTFYs+kMtVoda80d+FaAKOFmGiOiB2a5ks8KnNrF m1gWmk6GNGNoSER1SR17Tau87H1pPJdOrs9v3EgYm7+bJ+HLY08vrK/qMbCzy7WmcjQV4kGqcLDV aaDa9OE7vkJlk1KkKKQlhf10LGrT69IGjJ5VDrayqBujEWNjCb0qdhLQOKfCRcUnGSLiBjVd8qV7 Xka5fxeH9kikWEADRg/CtSVs4+4MDXeKRou9dt3UQiNPUXMvqG7Us+bccyMQKrFcSXxSYVmDXklx U7VTpA7JY8YC3wjdmjBGjOIRuvEMlr0O2HVVWDHmPTVYRc0Cx8J1rjkX1zl0zKJUUXpUzIG52igZ /ZM6x6g53/j7KFX9iDQWun3IbCMy7/9FLat5YcZZdDQEc1amCHS4rQ+F5QjCVd5SDluymqTP9ZDa MZIkhuuRI6mGNMrhZjz1MyR2hJk1hEUeb9LEUtKeD5r0vnmKYcl5zXBGsS6Wk3DFLEgy2Kgm6Y56 DYYUWMOC52OAQpdWhS5/Cs0HH9qXToMxHCQVi4pZhDMsn4mhEcPDXAiT78SiSaMucyORIsFb8V6L H9+C51RVEaNsIi+KHh14jPImIrnrJxHt+nuzAvd9GNp4zVjRcy0k3HSpwirNqX+EodRFN7NxnnK2 F8HDkkNEho6XyVq8atC74uv5fJN4gtDzMJtGsEIWQyJE6QRxMoGTThHaA9jOJlJ3C7ml+N8l+WuE dNrw6l5Dwc6ajex83RJI9SIPthimaU/nCeO3ZBSLcl1rltykrA7q/JveQyhfw5waK4j6702M2Ise utjz5MFR3l9pWDXWSg/OKw0ztxmH5PO++OIh4ijG+XkXb771lrxJNJthPKaybQtpEkuDc7c7xNHx IVrtJprNKhqtkaqK+aTT5alkgbWwKR+eKEVbAiLUnsJVsbMuh5sUkjqHoN3thVyW9RRvzTIWU4lp edbBcNBh/ag0WDJhJdnhfELpOZUGSue8rm8MGQq683uuuJs4ix0Mc3JKlQnbpXK0hCNa7OA7ZK00 rY80whtc6ia7h7lAde6OMyvME6xGzxPaF0BW87EW5dqj29Fhg76zyJZqcnNp74uV3dyJEBUzIMwR uA1YBfUhPSXIwtC+iOFZZ9J4ndtt4cMiOFcT9QkRZNn/Z4YzeujqnBlWqvu4gIAslPuN6GCeQzK8 yUyHomVoxdVJY6XnVBeWNLREX0+Hq9J5oNo5v5YhMnlkDnEWc2Nz0PcFimVhzAsKSttEBv/OPT09 xR9+/wf0ej388Y9/RKVawXA4xObGprw7TyP+rNmqIah4ePjgC5Ejr1ZD3HplF7s3duDZU4QukfAe asVEYV2kogg5LbXFvy4W5ImE+zMYHG389MPjNb8ccyiRQdrcXvWqZ3/ykmjPx6hwY5S5quPYkaZk r1BQR5bbc9K96M9Vxvwi/PAdM1biKelQpKSnfmITmrkUvdmElrhMOJeYo6ueIwG3bCRWpEdLvzM4 uXRC3vM9FGlVDp40o55jDCslS4mLmrcm+cUoGwuI2sMJqg4PqArOsxomFhvAL3I+pvegQMsE3abK +xE+eLKlLkYcXJc1Uh9pr4xAXMG2sWMgF/EPwiQmxQVpYFHCQzR8ZDmXOTf+JcxB35bGYpFh9mvz rEqjrCumHGKoVpDA6GhKrwPe77KOgRi/RqOO1994HYHvS3leMgYlkpnfB4GHWr0qCiG9Rz3sbO5i OBqJmnDohYjHCWb5DOfZKfwgFJ06y2nD8reUxH1ZUtX9Zs8iOrFY2bv+0AavKE8Warw8+2AC/GmN HV++hJmzQbmIwUDmJGEPHCuEGTpOhl7C9hrFBw5jM+hQ8Nsw5t0LTwlNhY9qqcLFoT0H8wRdfi/d XKzxW/zsgju65ACyixRNh72Qi79nwSNOp6JsXfGpRKS8LKbYfTdElrkInZo0Y3OxME3CRv8ANYke oihGZGXoRRmmJNOxA0mUa6AultMYgupn2G+jyBLJreW2JxVFPXdaLo7eo5VnaFqJtLtFZVlbgMe+ QukPKS6bKs+SjKuxS/1J7qtMigIRG63LkHMOyVgKLWX+6L2+QNEX7TUJa4ihmTB/PnotGOt6Hl1B NYnrA1n/XB8GGo/p1mtNvPHGm4iSKfrjEwGOBj6DO3UiEZs1nYzkInduv4ogCNHv9yXGp4owTyUu CM8OEE3YXOHBD1LpFxOLWIJCJe7X/FjXCA+fC9FeuUu+tOFbxZdz8dsnvmeIx7kww8Ynb4mGMENG qhWwcTfAGNuyAPnfae5gIlLoF1cRIOG3xFjpsGc5nDOH9BTai32k8vOSlPCycPaJVitdYCi9c0Ig +KdikBbjPYRI0HEzFQqKN5qhNz6SnKPkF/NYqoNr+T4Ct4Kc/ZVkHqFQRJKKYASpXmg9R6nqiTyN bIycGmLmeSUMLauH9HTLpLc2Evy1cLBZKVoWpdHYnM3E2wTTOMUULqZ2BZlLJgq+nmuFbBUZ1q0Z 1tlrUz5t3idZKEbTPmbE6dlAHQ6qbovBLqYsmTpKOu08cXCWkwbqghNMVxWX55mhGauFZlg6Fwou K6na45UEeLkPV1Wjdb5Je8l2aaRMymrdAqbDXtP4mPubX0r/qKauLgk3zUNAH3RuZ60jkzOYneLk /At4naA0WAWm0ymOjg7g+z5q1QqiGamUqfqbC1cWT61p3BPD1qh0EIRteB7160JRJOEskMeILr15 QxyXGa153uoaQ1ts8dy0JJTOB8xBg1928AS+roynBc8KhB89KaZIc3bKPfkBJTkvrRmq2srE57Ro IS+5n6jznOYqsTv/G10y10j2b9BoyeIpT8jlKqxekOZC5tCG+FmH/nvdE6qHKNiUXrNcs8jRsBO0 PIU6z/IUs3Qk2LbzyQkSgp+jBBW/haC6hdPIgxMRN1igcEPU7BxWlklVkgfUJMlxNsvghFWM3Ppc LHW+aTRswGh/kSZuu0DLirDuRMJwYhfM4TrIHRvNWgh/OkOj6CO3amJUyYTB6h3bh5LzEYpKR7wy PTw3gOf6qGYt2WeTpI9BdCpryLND+GDbl4+KYyNgGMywW+6Tvb8ldEQLdpS5T0JIQk9VDPk9DYxw dC1RnJM8kEaKAFRhdi2NljaCUnmkUdEIfXm+qqNA5Qi1NBuFThQWji/j5yUsRQ7gLEOckVvPm1ND C+lkGfprZ0evOwqWkBnXtS1eCKh6LXjekZxEOsYfjUaS33JdB5VKBUdHx3MEd61WRX/Qx8ZWA2+8 +yrsgG/sIPSqsG1fOIpoozQLALMK0oRfTo52YZcX6VXQq1XYLjN/MGeENFRvTEn5Z9swivr38lyI wlDJa6Tlhobm8oyWNJMLFotoH7aGNFBYa0jyYO6mL1cE9UiXS9DfwNCGyPSqdEVMawWu6q65zlh+ jvOG3yVuez0U+wNDwAI1O0WdfXx5jlFKzUAanQzn0xTj/CZyvwkr9DC1lZdEwkldRnGJTRJvogYr Udy5Al/xlbCKbtqeq9sYoGITpKlyL6S8yRGnuUAwCH9hf4NUCdMUYSVEnuXIskha4DquEsKt+h66 WYLpeIagxoKLmkQSDwjwlZ0PbhWhX0ecTTBJewKdIWFBkeZw3Tpq9ga8oiIiryQkoBEnW8XYDssG +9LolFAHuXdXGSt9yOgqnp5vk96GRoThpHDil56kREF6byVTjI8fotJowau1ZN6IWcyGXdi1hrDL 8p5cGtDcguMF8Ij9dNThzG4AfZ1l7OXcJmg23ePzB2jXd8QrGJ9N4OAMrcaWoNt5odu3b4LKOvfv f44wDKU/zvVcadshW6TreeqGHMIc6FZb8ns/pVCAgcw1JJU4ii/RsKzLwKs8ML155GvdY/WlNxA1 +zLUym56/dOL04QcUIG0LAkoFCkBH3AtH4FVw4z0IgSJmoPhNVF7loW610Zg13Eex0jzQFz+YsWk aAjDZXJRX+fQCVHzOejQQwNczVDwOkO/7qoUgIlQ0GtD9TkSWlBIOwqTyxEbm60AccH8XwOJdyHq wGmf87Vz05Yhh7xX2dStjzXdK6nvz3wk2nBq9o25Qrjcl43TvEK+hjkYKmRuCjOESYSmp1S3uVfi OEKRFvD8ADHbukiJMxoid33YLkkIlVHzrFA8cXn70oBVvIa00hGKNEsnsk/bQgcUo09OeJFDc1A4 DiolwSLveya3dCEYo6FEmklBf1CdP9JwCe0tE62k+xN1y5MO9abdLiZHD5AcZxgPh0K4uHH7NUS9 ruS083iG48NDtDttOF6I9/7Nf5AYmh4Wudo0Q8UTC86kiWJUJ3CSnJpynJREwCVEs0fRDMdHZ3IC vPXW23JTb7759pz2hMDH49OHGI7P4IcMAVXZJ7cTRBiJbFNos8LCG3Lkw3O/mfmLZdFQWQgrsBrm 4l6uxqwa/IDiWuLLDT7iKlKs+8x7cGMobnvqMGZpVlag2Eg7VouBlNG2D9fOMMvZvkRzRymBxUE1 ImG8kATpGEmeYZKF8xyfooZZfF7pt6gqqAGs+iQ2WzdMr+iqxzPHKZX5wTIFfT3mjXJOogXjzXf0 53MnlSVB0Jd0ySu0/eQ+y7+XsM54/+Uc2sLaNHIp2rt4shRfUgOUh9pMtlcNbd9Bi4wKsWrBYh6Y NOPSj8v7jkewfeYze8hjdfjF8UxYgGsMZT3SHjpI8hhUaq+FNcE/BiwgGIOhpk3Kc5FKY0MhU/Qq l+zbDnzPFxYO/bn1/WtMm6a6EUyZbso2jXb5jOdMrowo2PQfBhg4LvrdLvI0wfaNW/Do1DgWJoOB tLJlWQYSLThhiCiO4QWhGCvNo2/ej74nHYozfCQwj90I7s72Xfnw0WgoJ0At6Mik8MMVFLsMFF2t TspxkgkqHU8GmEUThFWVRCyXnujb0aDVXNWKMmDII31yaoHoUFC3EcypJpb05RYW+lLi7qpFLUoo +PKDhIQBO/zldCeejKecg8lsjNPjM0ni0tPMCuZKpkgicli5UmX1XA+1ZkUeVpmOXHgMnu0L11gK D8M0ROa0BPczT5Ia92GWd7+OoedfV5hWDe2hCD0MF5NhwHQy/on3Nb6WnIlFkKzu51NEffOPaObG lsr0cwOuZAvnVUN9T/r+TCO1XCDQuRWd0zFvbh4aLVW2JLVghD/aszD/RoeIq+eskH1FU8b8Lj+3 hHvSYaLepL3ZwulBFxuNTRROgkkyRGZnGM8GmCYjeE6IethGFLPVq5DcFo2YMvbqZkgc2HASJNYU KaHHViAOh+SUpFJvYZiFGNt1aUmaG1cmNbICWUmHzf2TmXAE4ymYRp25snQ2w/T0QIoVr77/E6Gx lt/zmSYRBs02Ghs7cH1f8Jx8HcNiy69iTC59gkJ1qGp4WKYdkBA1ToDxCHatyuhNoaorYQM3915H vbImBmxnZ0viZ/Wg7fJrLrZcGqJn4yly0mu4vngewjjp+uKBkOfJzj00XEcqJFHZY0jCMg6prmgw 6FUhoPHvdYyVBuJ9lcHHyN4+XlCkqmTxZyjsHIWdoXd+jugoFk+UDc7E1whINc1Qb9bghhtwpb2D sAQ21pJq5OKmaADHSQOpkIwp6AQpExd6BQ3JqBc9tGerQ23N/nBZvswM6zW6e/7pNObNSMBzzMOQ Mizhf8wnybWy1c3CyyBKDQSet12tuD+5xv/f27Xstg0DwdFbouPYbupekkOAov//R82p6KWxgdp6 UCSlYpamywgx2kNRAb7YtEUT4nJ3dnY2/525Ei30YGTjOb2vZPPmvZjQGHv3cega5hY+W87Jz9Nj niyIp7fD0X3HzF8qB19KuoOmNFEjG97aRHo7zsUEW4zQWgvcIvnliQbbwFjfICbQj/g6HA7odYu8 mkXKnHdzxiEvc+nB0Lc9hu4VlbqHTrx3Y50Xl3RDC1QrEeiyjnucTM9CDCzlsjPx2LgfJokIGIrz 4JkKjU75MHNTMyJp0bE8L71DUik8PD17FT2uf+l7AzE5wBA+JC0C/ULYHIsyvStWWNYouFa8tywq xdvSRswcvQVrDMyoBcHnxYWkoSJPJWMDgSyBultjRiOAoPBZMoU8LWATUhuI4VixmvvS4dtIi04X 2Kek/4ZTFLJDSy7HrbGykP+gMaqcspw/3WkK680TevcT3XxGvc3xodpK1okPBUX8iEmEYtqyLpEW bPyp5Xsk0sopKNgBTzCv1LBlRsuMIkPSW9Yjvn3IQynH/6AxhExX8G7eS4f/6boK4V12b5zSvlb6 X3An6msFAmyMiV2NZTQ+Dsli8Pvm/1im2iMnN8ZIAoZzS+kicImuRihKBsSXbLSoBGf5Uz7MoqFx 6IaTeB1qfe+lq43ByGqQZMaP7694+vwo0EqSeNbgNDiUk4JqttJyz00jzv3RZ0HHnew7wgxesjzB y8tXiXwoa65HAztaIYPvdjvs93v0gxaK0vF4RK2U1Pye2w5qtcJwPrEHPKqGnLMBtVpj9ekRm+cv 2GQWD0WojQmnlV+YKc2xqT9e1CoSdO0JpTSFVaKxT5ltL9NNTX/PFAhesbQziypghMW+2OsxKTdI DP0C8KC/92/BDxIAAAAASUVORK5CYII= dataset National Oceanic and Atmospheric Association Coastal Services Center (NOAA) (843) 740-1210 2234 South Hobson Ave. Charelston South Carolina 29405 clearinghouse@csc.noaa.gov 20250828 ArcGIS Metadata 1.0 Florida Geographic Data Library (FGDL) 431 Architectures PO Box 115706 Gainesville FL 32611-5706 Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html Web site: http://www.fgdl.org http://www.csc.noaa.gov/ Enterprise Geodatabase Feature Class Bathymetric Contours Southeast US 2000 National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center (CSC) National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center (CSC) shapefile State of Florida <div style='text-align:Left;'><div><p><span>This dataset contains bathymetric contours surrounding Florida and parts of Georgia with increasing resolution in coastal areas. This dataset has been updated from the previous version on FGDL 3.0.</span></p></div></div> FWC uses this dataset for general background reference only. This is an older dataset containing contours from early 2000s or prior data sources. The National Oceanic and Atmospheric Administration provides more recent bathymetry products here. FWC obtained this dataset from the Florida Geographic Data Library. Florida Geographic Data Library (FGDL) 431 Architecture PO Box 115706 Gainesville Florida 326111-5706 Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html Web site: http://www.fgdl.org Florida NOAA Bathymetry Contours oceans elevation Florida NOAA Bathymetry Contours oceans elevation Florida Geographic Data Library is a product of the University of Florida GeoPlan Center with support from the Florida Department of Transportation and the Florida Department of Environmental Protection. THE FGDL DATA AS PROVIDED BY CONTRIBUTING ORGANIZATIONS AND ANY PROGRAMMING SOFTWARE CREATED BY THE UNIVERSITY OF FLORIDA GEOPLAN CENTER (COLLECTIVELY THE "MATERIALS") ARE COPYRIGHTED BY THE UNIVERSITY OF FLORIDA GEOPLAN CENTER FOR THE FGDL CONTRIBUTING AGENCIES AND ORGANIZATIONS (THE "DATA PROVIDERS"). DO NOT REPRODUCE, REDISTRIBUTE OR RESELL THE MATERIALS, OR PROVIDE THE MATERIALS FOR FREE TO CUSTOMERS OR CLIENTS, OR PLACE THE MATERIALS FOR DOWNLOAD ON A WEBSITE. ADDITIONALLY, WHEN USING FGDL DATA OR SOFTWARE IN PROJECTS, MAPS, ETC.; YOU AGREE TO ACKNOWLEDGE THE FGDL AS A DATA SOURCE. THE MATERIALS ARE PROVIDED "AS IS". THE UNIVERSITY OF FLORIDA GEOPLAN CENTER MAKES NO REPRESENTATIONS OR WARRANTIES ABOUT THE QUALITY OR SUITABILITY OF THE MATERIALS, EITHER EXPRESSLY OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER MAKES NO WARRANTIES, GUARANTIES OR REPRESENTATIONS AS TO THE TRUTH, ACCURACY OR COMPLETENESS OF THE DATA PROVIDED BY THE FGDL CONTRIBUTING ORGANIZATIONS. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS. ESRI ArcCatalog 8.2.0.700 true -87.429040 -79.872251 30.983191 24.492815 publication date 2000 LINE 1 -89.689937 -69.191102 38.499823 22.420008 Florida Geographic Data Library Relied on the integrity of the attribute information within the original data layer. The Ocean Planning Information System (OPIS) is a prototype online regional marine GIS covering the vast ocean area bounded by the Carolinas, Georgia, Florida, the exclusive economic zone, and various maritime boundaries. OPIS was developed to provide coastal and ocean resource managers in the Southeast access to regional digital geographic mapping information and technologies to facilitate coordinated decision making within and across the multi-layered U.S. ocean management framework. Special emphasis is placed on the federal ocean and coastal management and governance framework, and efforts are ongoing to develop similar data sets for state and local level policy frameworks. OPIS provides marine resource managers with timely and equitable access to downloadable data, cutting-edge online mapping functionality, and guidance on how to use GIS in a meaningful way with respect to ocean management. THE DATA INCLUDED IN THIS APPLICATION ARE BASED ON INTERPRETATION OF AVAILABLE INFORMATION AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. Relied on the integrity of the attribute information within the original data layer. These data are based on interpretation of available information and should not be construed as legally binding. These data should not be used for navigation. Florida regional bathymetric contours consist of a shapefile of bathymetric contours with increasing resolution in coastal areas. Contours were derived from a composite of several bathymetric datasets of varying regional coverage and resolution. The various input datasets and processing methods used to create this dataset are listed under the "SOURCE" and "DATASET" items. This coverage was developed to compliment other regional spatial data utilized by ocean planners in addressing management issues. It is intended only to provide general information on regional scale ocean depth and bottom morphology. Isobath intervals range from 2 meter in coastal areas to 200 meters in deep offshore areas. There is a known gap in the Georgia coastal area, just north of Florida. Relied on the integrity of the attribute information within the original data layer. Online listing for the National Geophysical Data Center Coastal Relief is: http://www.ngdc.noaa.gov/mgg/coastal Online listing for the Digital Bathymetric Data Base is: http://128.160.23.42/dbdbv/dbdbv.html Relied on the integrity of the attribute information within the original data layer. A note concerning data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modelling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:250000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analyses. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our web pages at: http://www.geoplan.ufl.edu/education.html Relied on the integrity of the attribute information within the original data layer. Relied on the integrity of the attribute information within the original data layer. NGDC Data was extracted from the CD ROM for the coverage area in 22 , 1 degree ascii grids of 3 arc-second resolution. Grids were converted to ArcView grid themes using the ArcView import utility. Grids were mosaiced into a single 30-arc second grid theme. The grid was contoured at 10 meter intervals, and all countours shallower than 10 meters deleted from the attribute table. 2000 GeoPlan, during the QA/QC process included the following aspects: (1) Reprojected data to FGDL Albers HPGN (See "Map Projection Parameters" below) (2) Extent set to the State of Florida (3) DESCRIPT item was added based on DATASET (4) Upcased all character records 2002 This data was downloaded in shapefile format by the FGDL in 2002 from Ocean Planning and Governance Geographic Information System (Ocean GIS) webpage at: http://www.csc.noaa.gov/opis/html/data.htm The data was clipped to the State of Florida and lowercase characters within the attribute table were upcased. When received, data was in Geographic projection, Datum: NAD83, Spheroid: GRS1980, Units: Decimal degrees. 2002 Spatial and Attribute Information VARIABLE BATHYMETRIC CONTOURS FOR THE STATE OF FLORIDA AND SURROUNDING AREAS NOAA 2000 National Oceanic and Atmospheric Association publication date 2000 21364 EPSG 8.2.10(10.3.1) GIS.FWC.bathy_southeast_us_arc .DBF file FGDL Feature Class 21364 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 Shape Data attribute inherent to the ESRI shapefile format, which defines the data as a point, polyline, or polygon. FGDL Coordinates defining the features. Shape Geometry 8 0 0 DATASET Descriptors categorizing arcs by different source data and processing methods NOAA E_COAST Used NGDC dataset (see SOURCE item) Data was extracted from the CD ROM for the coverage area in 22 , 1 degree ascii grids of 3 arc-second resolution. Grids were converted to ArcView grid themes using the ArcView import utility. Grids were mosaiced into a single 3-arc second grid theme. The grid was contoured at 2 meter intervals, and all countours deeper than 10 meters deleted from the attribute table. NOAA E_SHELF Used NGDC dataset (see SOURCE item)NGDC Data was extracted from the CD ROM for the coverage area in 22 , 1 degree ascii grids of 3 arc-second resolution. Grids were converted to ArcView grid themes using the ArcView import utility. Grids were mosaiced into a single 30-arc second grid theme. The grid was contoured at 10 meter intervals, and all countours shallower than 10 meters deleted from the attribute table. NOAA FL_COAST Used GEONEX dataset (see SOURCE item)Data was obtained as an arc vector coverage. The coverage was origionally projected in the coordinate system: Base projection: Albers Cent. merid. -84 Cent. parallel: 24 std. parallel1: 24 std. parallel2: 31.5 Datum: grs 80 unit: meter The coverage projection was changed to grs80, geographic, decimal degrees using the ArcView projection utility. Contour depth units were converted from feet to meters and all special nondepth contours eliminated. All contours deeper than 10 meters were also eliminated. NOAA FL_SHELF Used DBDB_V - 30sec resolution Data was obtained from the website as lat-long-depth ascii files.The files were imported converted to DBF4 format and imported as tables in ArcView. The tables were converted into point themes and merged to provide complete coverage of the region. The merged point theme was converted into a grid theme via IDW interpolation(12 nearest neighbors, power 2, cellsize 30 sec). The grid was contoured at 10 m intervals. All contours deeper than 200 meters were eliminated. Several arcs were added by hand to connect contours to the e_shelf contours. These can be identified by the source attribute "edit". NOAA Dataset String 8 0 0 SOURCE Categorizes arcs by source data NOAA NGDC National Geophysical Data Center Coastal Relief Model NOAA DBDB_V Digital Bathymetric Data Base NOAA GEONEX GEONEX Florida Coastal Contours NOAA EDIT Arcs added by hand to connect fl_shelf contours to e_shelf contours. NOAA Source String 8 0 0 RES Defines maximum horizontal resolution of source data NOAA Max Horizontal Resolution String 5 0 0 DEPTH_FT Depth in feet NOAA Depth Feet Double 8 18 1 DEPTH_M Depth in meters NOAA Depth Meters Double 8 18 1 DEPTH_FA Depth in fathoms NOAA Depth Fathoms Double 8 18 1 created_user created_user String 255 0 0 created_date created_date Date 8 0 0 last_edited_user last_edited_user String 255 0 0 last_edited_date last_edited_date Date 8 0 0 SHAPE.STLength() SHAPE.STLength() Double 0 0 0 Simple FALSE 21364 TRUE FALSE