U.S. Geological Survey USGS), Maine Office of Geographic Information Systems (MEGIS) (ed.), Maine Dept. of Environmental Protection (ed.) 19970101 Unknown LAWB.Water_Classification_Rivers vector digital data MEGIS Library and Data Catalog 24kbase Augusta ME Maine Office of Geographic Information Systems (MEGIS) 24000 Arc/Info version 7.2.1, Solaris 2.5.1 patch 1 Pathname = /home11/lib83/24kbase/tiles/(quadname)/rivers, average coverage size = .02 MB withheld Rivers A polygon layer derived from the National Hydrography Dataset's NHD.Area layer, modified to show water classification. A polygon layer derived from the National Hydrography Dataset's NHD.Area layer, modified to show water classification. en REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. source dates Complete As needed -71.259069 -67.036062 47.482110 43.017499 329735.849723 648005.953149 4764876.585032 5258741.494397 Maine GIS Thesaurus-Theme hydrography rivers BASEMAP 24000 NATURAL RESOURCES AND TOPOGRAPHY Maine GIS Thesaurus-Place Maine New Hampshire New Brunswick Maine GIS Thesaurus-Stratum hydrosphere None None Maine DEP GIS Unit GIS Manager mailing address
State House Station 145
Augusta ME 04333-145 USA 207 287 6167 207 287 7896 Monday through Friday 0800 - 1700 EST Maine DEP ESRI ArcCatalog 9.0.0.535 Feature Class Attribute accuracy is tested by manual comparison of the source with hard copy printouts and/or symbolyzed display of digital files. Please report errors to Maine Office of GIS. Spatial topology meets Maine GIS Data Standards. Spatial topology meets Maine GIS Data Standards. LABELERRORS and NODEERRORS have been resolved. Spatial topology is clean and free of errors. The coverage has been BUILT with polygon topology. Data set is complete. Approximate horizontal accuracy is 12 meters, assuming source data meets National Map Accuracy Standards. The data retains the edgematching discrepancies existing in the source. Horizontal positional accuracy for the digital data is tested by visual comparison to the source with hard copy plots. Not applicable. U.S. Geological Survey (USGS) multiple dates Unknown (24k) USGS 1:24000 scale quadrangles hardcopy map series National Mapping Program Standard Series Topographic Maps USGS 7.5 Minute Map Series Reston, Virginia U.S. Geological Survey 24000 Publication date is unique to each quadrangle in the map series. Standard 7.5x7.5 minute quadrangles cover geographic areas of 49 to 71 square miles. 1 inch at map scale represents 2000 feet. http://mapping.usgs.gov/mac/maplists/howtoselectmaps.html 24000 mylar 19480101 unknown 19901231 unknown publication date usgs24k RIVERS consists of double line fresh water hydrological features digitized from USGS 1:24,000 scale quads. U.S. Geological Survey USGS), Maine Office of Geographic Information Systems (MEGIS) (ed.) 19970101 Unknown rivers map MEGIS Library and Data Catalog 24kbase Augusta ME Maine Office of Geographic Information Systems (MEGIS) 24000 Arc/Info version 7.2.1, Solaris 2.5.1 patch 1 Pathname = /home11/lib83/24kbase/tiles/(quadname)/rivers, average coverage size = .02 MB http://apollo.ogis.state.me.us/ 24000 online 19480101 Unknown 19901231 Unknown source dates megisrivers RIVERS consists of double line fresh water hydrological features digitized from USGS 1:24,000 scale quads and is a Maine Office of Geographic Information Systems (MEGIS) 1:24000 base layer. Each MaineGIS 1:24000 base layer represents the automation of a thematic layer from a U.S.Geological Survey (USGS) 7.5 minute series 1:24000 scale quadrangle map. Since the early 1990s, Maine Department of Conservation (MEDOC) has led a multi-agency effort to fund the automation of data to serve a diverse suite of state agency applications in areas that include natural resource management, environmental protection, transportation, and human services. Initially nine base layers were identified for conversion to digital files: coast, contours, otrans, ponds, rivers, roads, streams, towns and wetlands. Automation and quality control, of over 700 U.S.G.S. quadrangles that cover the State of Maine, were coordinated by the Maine Office of Geographic Information Systems (MEGIS). Automation was verified using quality control parameters and procedures outlined in MaineGIS "Data Standards for Maine Geographic Information Systems", March 1990. For MaineGIS base layers, a number of contracted sources were used to scan and vectorize the data from mylar separates or the best available media. Digital files were delivered by contractors in Universal Transverse Mercator (UTM) projection, Zone 19 referenced to the North American Datum of 1927 (NAD27) and in ARC/INFO format, the software standard for Maine's statewide GIS. Quads were digitized at a Root Mean Square (RMS) error not to exceed 0.005 and at a fuzzy tolerance equivalent to 0.002 digitizer inches at the scale of the manuscript map. Map features were digitized within the equivalent of 0.01 in. of the original manuscript. Mylar proof plots of the digitized coverages, with USGS tick marks, neatline and legend, were generated at a pen width of 0.01, and at the original scale, and provided by contractors on delivery of each digitized quad. At MEGIS, proof plots were overlaid on original base maps to check registration, linework quality, and completeness. Features were verified by the following standard of accuracy: 90% of the planimetric features on the digital map must be within 0.01 in. of the centerline of that feature on the manuscript map when plotted at the original scale; 100% of all features must be within 0.02 in. Spatial topology was verified to be clean and free of errors by symbolized display of data and reports on screen: no overshoots; no slivers; no open polygons; no unlabelled polygons; no unresolved line segment intersections, no unresolved dangles; for all points, lines and polygons, a single unique user-id number. A coding accuracy of 100% was required for all attributes which were verified by manual comparison of the source with hard copy printouts and/or symbolized display of data on screen. All digitized quads are intended to match the USGS source, and include discrepancies found in the source, like edgematch, contour interval, unit of measure, and features mapped. Digitized map tiles were documented by contractors, at the time of automation, using a MaineGIS hardcopy Documentation Form for Digital Map Data and an Attribute Coding Description Form. Data from these hardcopy documents were recorded in INFO as a <layer>.doc file and reflected in the .FAT files of each map tile coverage. Documentation and description, as well as development status of each map tile, were also tracked, at MEGIS, in two Microsoft ACCESS databases CATALOG and QUADSTAT. These database formed the basis for an online Data Catalog, that in 1997 provided internet publication and delivery, of MaineGIS data, to state agencies and the public. withheld 1997 withheld (MEGIS) Maine Office of Geographic Information Systems Data Center mailing address
State House Station 145
Augusta ME 04333-145 USA 207 287 6144 207 287 4563 Monday through Friday 0800 - 1700 EST The Maine Office of GIS completed the conversion of all final data layers from NAD27 to NAD83 in July 1999. All the data layers were converted using the ArcInfo (version 7.2.1) NADCON conversion by using the "project" command in ArcInfo. All data was copied to double-precision, projected to NAD83, and then copied back to single precision. It was decided to keep the NAD27 quad structure instead of generating new quad boundaries from NAD83 coordinates - all indexes (quads) were projected to NAD83 by using the same process previously described. All the Maine Office of GIS data libraries in ArcInfo Librarian were re-created using the NAD83 indexes and data. withheld 19990701 (MEGIS) Maine Office of Geographic Information Systems Data Center mailing address
State House Station 145
Augusta ME 04333-145 USA 207 287 6144 207 287 4563 Monday through Friday 0800 - 1700 EST Metadata imported. withheld Islands were removed. Polygons were split up and coded per designations outlined in MRSA 38 4-A. In very few cases, polygons may also have a SEACLASS designation. River names were assigned. Metadata imported. withheld Dataset copied. withheld Metadata imported. withheld 20030320 Dataset copied. withheld 20031016 Dataset copied. withheld 20031017 Dataset copied. withheld 20131101 08213400 0 Vector Simple FALSE 0 TRUE TRUE coordinate pair 0.000326 0.000326 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983 NAD_1983_UTM_Zone_19N 1.000000 Explicit elevation coordinate included with horizontal coordinates Dams_impoundments polygon attribute table Environmental Systems Research Institute, Inc. (ESRI) Feature Class 0 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 NAME Name of the River MEDEP NAME String 30 0 0 FERC_ID FERC_ID String 20 0 0 NID_ID NID_ID String 20 0 0 DEP_ID DEP_ID String 20 0 0 MEMA_ID MEMA_ID String 20 0 0 FERC_DAM_NAME FERC_DAM_NAME String 100 0 0 SHAPE Feature geometry. ESRI Coordinates defining the features. Shape Geometry 8 0 0 HUC8 HUC8 String 8 0 0 Status_Comments Status_Comments String 255 0 0 GNIS_Name GNIS_Name String 65 0 0 LAYER_SOURCE LAYER String 254 0 0 AREA_SQKM AreaSqKm Double 8 38 8 AREA_ACRES Area Acres Double 8 38 8 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 Status Status String 300 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 RIVERS contains double line fresh-water river features coded with the item ISLAND to allow selection of river island polygons. Note that tidal portions of rivers are located in the COAST coverage. (MEGIS) Maine Office of Geographic Information Systems Data Center mailing address
State House Station 145
Augusta ME 04333-145 USA 207 287 6144 207 287 4563 Monday through Friday 0800 - 1700 EST Downloadable Data Users must assume responsibility to determine the useability of this data for their purpose. map See MEGIS website for fees and information. 15 working days ARCE 3/17/99 PKZIP compatible 0.02 8 mm cartridge tape tar CD-ROM FCC Compliant ISO9660 DOS compatible file names CD-ROM FCC Compliant ISO9660 long windows file names http://apollo.ogis.state.me.us Anyone with an internet browser can view and download these data from the http address shown above. Please follow instructions on the website for the internet Data Catalog. 3-1/2 inch floppy disk withheld Where file size and internet access permit, data requests can be made available via File Transfer Protocol (FTP). Data may be downloaded from website at no charge in export file format. See MEGIS website for fees and information. immediate download 19970101 unknown Present unknown 20041103 Maine DEP GIS Unit GIS Manager mailing address
State House Station 17
Augusta ME 04333 USA 207 287 6167 207 287 7896 Monday through Friday 0800 - 1700 EST FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time none Please confirm that you are using the most recent copy of both data and metadata from the MEGIS Data Catalog. The MEGIS Data Center provides notice of updates and corrections to MaineGIS data directly to the Maine GIS Technical Group and Maine GIS Users through the MEGISTECH and MEGISUSER listservers . To subscribe please contact the Data Center at (207) 287-6144. To request correction of errors or updates to MEGIS data, a feedback form is available at http://apollo.ogis.state.me.us, or you may call the Data Center technical support line at (207) 287-6144 for more information. MEGIS is not responsible for local edits to MaineGIS data or metadata. Updates, corrections, and feedback incorporated in the MaineGIS database are made by MEGIS, in consultation with the Maine GIS Technical Group and in accordance with Data Standards for Maine Geographic Information Systems, 1990. http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en 20190430 11130800 FALSE 20241017 14280000 20250224 14324500 Dams_impoundments 002 330807.220700 648005.953100 4772617.499900 5258741.494400 1 Projected GCS_North_American_1983 NAD_1983_UTM_Zone_19N <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/2.9.0'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_19N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-69.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26919]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26919</WKID><LatestWKID>26919</LatestWKID></ProjectedCoordinateSystem> Linear Unit: Meter (1.000000) 1.0 FGDC CSDGM Metadata 150000000 5000 ItemDescription Esri ArcGIS 12.9.7.32739 Maine Dam Impoundments -71.259069 -67.036062 47.48211 43.017499 1 -71.244865 -67.036062 47.482110 43.087400 1 002 The Maine Dams layers were created to establish a comprehensive set of data relative to historical and current spatial and tabular data for Maine’s dams, levees, impoundment, and barriers. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Maine Dams dataset, maintained by the Maine Department of Environmental Protection (DEP) is a comprehensive spatial and tabular data base of dams, levees, impoundments, and barriers that are in and around Maine’s lakes, streams, and rivers. It includes both current and historical facilities. Spatial and tabular data will be updated on an ongoing basis. The Maine DEP Dams layers were created from various sources, including a historical dams dataset based on the Inventory of Dams on Maine Waterways (1973), the Maine Emergency Management Agency (MEMA) dams datasets, the Maine Stream Habitat Viewer (MSHV) dataset, and others. ID fields were created and maintained in order to cross-reference the DEP dataset with the National Inventory of Dams (NID), MEMA, Federal Energy Regulatory Commission (FERC) Projects. Additional fields have been added to indicate the status (present, removed, breached, etc.), the presence and types of fishways, and the FERC licensing status of dams. </SPAN></P><P><SPAN>The Dam Impoundments layer is derived from a variety of sources including FERC project documents, the National Hydrography Dataset (NHD), and aerial imagery. They are approximate and not intended for engineering or legal use. </SPAN></P><P><SPAN>Fields:</SPAN></P><P><SPAN>FERC_ID: FERC Project Number (https://www.ferc.gov/licensing)</SPAN></P><P><SPAN>NID_ID: National Inventory of Dams ID (https://nid.sec.usace.army.mil/#/)</SPAN></P><P><SPAN>DEP_ID: Numeric ID field. Derived partially from 1973 Inventory of Maine Dams. Not fully populated.</SPAN></P><P><SPAN>MEMA_ID: ID assigned to dams by MEMA (text field)</SPAN></P><P><SPAN>FERC_DAM_NAME: FERC Project Name (https://www.ferc.gov/licensing)</SPAN></P><P><SPAN>NAME: Commonly used or official dam name</SPAN></P><P><SPAN>GNIS_NAME: Officially recognized Federal name of waterbody from Geographic Names Information System (GNIS)</SPAN></P><P><SPAN>FERC_LICENSE_STATUS: Indicates whether a dam with a FERC_ID is an active or expired license, has an exemption, or has been removed</SPAN></P><P><SPAN>HUC8: 8-digit HUC ID (Watershed Boundary Dataset)</SPAN></P><P><SPAN>STATUS: Most recent known status of the physical structure of the dam</SPAN></P><P><SPAN>STATUS_COMMENTS: Comments on the source of the dam's status information, dates of removal, or other relevant information</SPAN></P><P><SPAN>LAYER: Source of impoundment data (if known)</SPAN></P></DIV></DIV></DIV> Maine Department of Environmental Protection, Maine Emergency Management Agency Please contact Becky Schaffner (becky.schaffner@maine.gov) with questions. Maine dams impoundment hydrography infrastructure emergency preparedness barriers levees water quality <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Layers are for display and reference purposes only. Users must assume responsibility in determining the suitability of this data for their purposes. Data is subject to edits, corrections, and updates.</SPAN></P></DIV></DIV></DIV> ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset 002 withheld Feature Class Enterprise Geodatabase Feature Class NAD_1983_UTM_Zone_19N EPSG 6.11(3.0.1) 0 20250224 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAGfAc0DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9JPix LJD4B1Mxy+UWMMbAOUaVGmRXiUjnfIpKLyPmccjqOU+G8ryeNpHtlmkhNpLDcyLA/kErIu397t2F 1JcbM5+dj/Ca5z9pe5urnW/D+j/bLyLTbvT76S4trW5khErLJbBSxRgcqHbHPBORzg11/wCziz/8 KrtVeWacpqOpKHuJWlc/6bP1diWY+5JNdMK3JSlTt8VjCVLmqRqX2PTqKKK5jcKKKKACiiigAooo oAKKKKACiiigCG8vINPtzPczR28KlVMkjBVBJAHJ9SQPxqauX+Ji2z+B9XS+02XVtMkgZL20t93n NAQQ5iCjJcDkYwcjgg81w/w7+LZXxFZeFNZE3kXdsG0LWri0a0GpRxhVYNGzFg/KsH2or7iFUAKX APYKKKKACiiq2oalaaRZy3d/dQ2VpEMyT3EgjjQepYnAoAs15f4x+JWuWOsSabpmnwWDWlykU1xq C/aPtIcYiWCKN1J3F0+Z2XBBXa3JEV98WNV1J5TodpZQWYd1hvbwtOtwgJCyIqMuUYAMCW5BBGQc 1w82hatqU01vpt7caj4n1KQSpf3u1vJaNgVmcABVSJiGCqB821QMECvSo4SXK6tVWil/XmcFXExu qdN+9c7Pwv8AC3VdSjN5rl9JpZnle4ltrRI/PmkZslpXO8KD0CJkqAv7w9Boax8KZ7MCXw9ebxj5 7LVZ5HVj/eWY7mQ+oIZeBgJyT6Sudo3HJ7kDFLXOsVWjJSUrW+77jf6vSas4nhN1DqOmsEvtE1W1 kzjbHZvcr9d8AdcfUg+wyKrW91b3NwyhHiulQHZcQPDL5bchgrqGKEjhh8pIPOQa9/rF8SeD9L8V i3OoQMZrcnyriGRopkVsb0DqQwVtoyAf4VPVVI9GnmlRNe0SaOKeXws+R6nj08JdreVCBPbTx3MJ bJXzEYMu4d1yMEeh4IOCOx0D4rzQXE0PiW1S1ieU+Rf2aloFTaCEkBbeH3bgDt2n5RkEgHEbwD4k h1y806y2X1hCkRj1LVGEJYtncP3SYcjg4CoOCCRkYp6tpeqeGNQt7XVYE23P/Hve2pJhdwhZojk7 lcBXPI2sq5BzlR1VJYTGtK9pP+vQ54LEYVN2vH+vme2Wt1DfWsNzbyrPbzIskcsZyrqRkEHuCDUt eF6Drd94Fv8A7Tp1vNf6XIrLcaQlxsAYuG82BW+VXGZMoCgcvknIGej8VftDeHvDt5pdrZ2l9r89 /BPcbLDyUa3WJoVIlWaSNkYmdcLjPyvnBGD4mIw88PLlktO56tGvCtG8dz1Giuc+H/ja3+IfheHW 7ayutPjkmngNveeX5itFM8TZ2My4JQkYPQjoeK6OuU6AooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAyNe8H6D4qa3bWtE07WDbhhCb+0jn8vdjdt3g4zt XOOu0elW9J0fT/D+nxWGl2NtptjEWMdtaQrFEm5izYVQAMsST6kk1cooAKKKKACiiigAooooAKKK KACiiigAooooAK8g/aatbi+8Bwwx6RNqEa3KzfarWMzS2ciEFXEYUnYV8xWkHzRg7grkBT6/WL4y 8OHxd4Zv9FN3JYxXyCCaaEfP5JYeaqnsWTcue27PamtAOM+E/wATf7as4NG1t2i1pJ5Le2mb501C JV3xypKo2szRYYjgnDNtA4GX43+NkF1La6X4WlmvoryTym1zSVF4sZEfnFYUjSTzHKKQcgBd24b9 rAcknhDUfhf4m0rVr/7dZ6AuoG2urrT41aS6L+WVdo4gxijkmijBRD84KhxvI3OXSbOfVNRvbeKT R7q8lmneC1lWOWGKYKuwlCdpZYUyUPVW2tgnPoUcO61R+z1S77f15HDVr+zgufR/ibGjfEfxXZGW AbdZaW5jvm1K6KiB7U+WnkW6pja5RJHLN8oZwRuD/Jz9xMupa1NFrd7cXWoXTR3lxbsm+2bDukHz eWq5QER8bAx2llywq7Bqcf2pbe3tXNghFuL2Fc26TfMBBkcBgI29gdqnBZQaUmk6XJ4kn1h5vtuo 2sGxIJJFdbUDBJRcZRm4yep7V7VPC0YvmpWbvrfp1PLniKsly1NFYsaTrEt7qF3a3MS27qzPbZYB p4gxG9RuO5QDGd3HMgGBwW9G+Emli8juvET+cFnLWloki7AIUbDvt65d1PJ/hRCAMnPk0FrYa5c6 cfD9tC/iSGM2NnarOI3tlYhH8xVJAjj5YnDDC/Jklc/SmlaXaaHplrp1hAlrZWsSwwwxj5URRgAf gK4cfXfIqSle+vy6f16HXg6K53UatbT/ADLdFFFeEeuFFFFABWb4i8P2fijSZtPvkcwych4nKSRs Ojow5VgehFaVFG2qA8G8mexvL2wuzKbi1nkQNNCYmki8xhFJjGCGUD5l+UkN0IKrmXPwt1f4ma3b ahp2oW+lWukwXFn595ZvOlzJM8LOqbZEI8v7OoLcgmQrw0bCu4+JGhay3iCW70/TZb37ZbpBDNCQ wSVd21ZASCifMW3Z2jDdGb5/RPD+i2/h3RbLTLVQsFrEsS4AG7A5Y47k5JPck17OIxftMNCne7e/ yPLo4blrynslt8zB+Fngm5+Hvg2DRru+i1K4S5urh7iCAwofNnklACF2IwHA+8c4zxnFddRRXjHq BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUVxPxc8Yan4L8MwXukC0N3LdJBuvYmljVSrsTtV0JPy4696AO 2orzT4L/ABE1nx2utxa0lj59jJF5clhC8SsrqTgqzvyCp5zyCOOMn0ugCvqFhb6pY3NldxCa1uI2 hljbOGRhgjj2NeZeKPgw81/4cPhqa20m0sEu47prgyyzTGWOJVkL7t0rjylGZGPY8lAK9Voq4zlB pxZMoqSszjPCPglH+Gun6B4j0jS4yUD3VhYR7bdZPM80EerhsMXHV8sOtT6x8LfDms6DaaM2nx2m n2rLsS0URtsGQyb8bgrAsGwQSGYZ5NdZRU3Y7FDRtEs9A0+2srKN1gt4xFGZpXmcIOgLuSx/Emr9 FFIYUUUUAFFFFABRRRQAVBJfW0N5BayXESXU6s8UDOA8irjcVXqQNy5x0yPWp6474keCbjxVZ2d/ pE62XifSnM2mXkkrpHGzFRIrhc7kZRtIIP0oA6jUtTtNHsZby+uYrO0iGXmncIi84GSfcgfjXBah 8btMtbS4vLfSNVv7GFWlF1CsKpLGqkl0DyBiOOMgZyCODmuGktb2fVpJdba/udUtG8sHUirLE3OW hwqqAwIO9FGRtHBUqoun2U9zpWm3SCHRrq6S0uo4fkzHIGVUGBwGkMSHGMKzHI617UMBFUXWnK+l 9Dy5YxuoqcFbXqe/0UUV4p6gUUUwTI0rRB1MqqGZM8gHIBI9Dg/kaAH0UUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVn65r1h4b06W+1G 5W2t4x1blnOCQqKOWY44VQSTwAaANCiuEk+MGk7gtrYanfPsVnWGBV8tycGNi7qN46nnHTnkZ6nw 1rS+I/Dul6ssRgW+tYrkRFtxTegbbnvjOPwq5QnFXkrERnGWkXc0q8j+Pnhy88TSeFbRbma0sJb4 QeZazqsq3EjIiuEZSrhYTcnnOMjjuOs8TfESDwf4nsrDU7cRabeQq0d/5qARv5ojberEEIDJDlhn BkHGMkY+ra9YeLviR4Qs7OaO8srBptUW8t545IZZTDPAsa7SSSoaRjnGMpjd820imnewNprc3PAP w10v4dR3y6fPeXUl66NNNeyh2O1cKBhQAOT2711lFFQWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFAHk/xJhu7PxFc6lJpl0NNEEMb30RV4V+ZhuZd25Tl8FtpAVVJYAcc5d70iEscK3E9vIl1DFI SFaWJxJGDjnG9Fr3W8s4NQs57W6hjubWdGilhlUMkiMMMrA8EEEgg14Nawy6bcXWkXbsdQ06Qwyr JJvdkyTFKTkkh02sCST1BO5Wr6PL8R7WLw8+2h4mMo+zkq0T2jwv4msfF2jQ6jp8yTQuMN5bbgj4 G5M9ypOD7gjqDWvXm/wl1IR3mt6S97FNiVbyG3MgMkQdQJF25zt3APnA5m+lYHjy3nuvHupyLe6j aW629tCI7e8kiUyrvcuArAEYkjAByMoxx3PkLCzlXdBbo9F4iMaSqvY9eutStLKaGG4uoYJZtxij lkCs+0ZbaCecDk46CvEbjXrzVPFN94o0q7HnM6xae8qbYpLVM7VYBclJGaRtxycOrL0Aqg2mS6lP Jca3eza9O6LEP7QEciRqGLYRQigbjgnjkqvZQBoV7WFy3kvKtrdbHmYjG82lPTzPY/DuvW/ibR4N RtkmhSXIaG4TZJG6kqyMOmQQRkEg9QSCCdOvHfA+pHQ/GlnHFHmPWma1nVTjMiRPJHIfcLG6HuQy 84QCvYq8LE0Xh6jgetQq+2gphRRRXMbhRRRQAUUUUAFFFFABRRRQAU1pEjKhmVSxwuTjJ9BTq8q+ OGi2l9ceH7rUILe4sj9psGWZRlGlVJFcMfu/8e7Lxzl1wRitacPaTUL2uZ1Jezi5WvY9Voryr4Xx 67deLL2S+12+vtJsbIR2trOARumcE736yMgt+GbLATMMnOT6rSqU3Sm4S3Q4TVSKktmFFFFZlhRR RQAUUUUAFFFFABRRRQAUUUUAFFFFAHjvjT4v6z4b1LxLY+RYxW9hdwwwX6hpJdrxQuU8jI8yQGXq GHDLhGIw2FPaaxFINV1vT/EFzcTLujuruAz8bQPlhg3C3yAuQUQtxuy2a9nbwjo7eIhrr2EcmrBd qXEmWMfG0lAThWK4UsoBIABJAFbFdlLEexalCKv56/8ADHLUouqmpydvI+dm0vxpd3xkXw3qljZ2 s67nVrdxJGPmfMZO92OCnyEBeWBl4FSS6n4h0Wy0Xwtq8d1pFtbJDJay295LAUhZHWO3kmiCrJKr AKE3chSTvIV2+ha4f4xNMvg3EU8cavdwRSW8uQLpXcJ5QcAtGcsG3phl2ZBX7wpYqdSadRc2pP1e FOL5HbQ89vPEN9qcml+G7qa2vrp7tZLHULycia0VlaImRFBMozJsViMEyAOQRvajY+G9T+GXiRIH 1r+1NUhFvqD4QxCWMyTJInJJIKZABZtrbTkAgVt/D7Tza+KfD8G2a+uYYmE94U3MY0iYFpHY5wZH XAySS2QMBiO2+Jng+78TR6fc6fb211dWvmwtBdPsSSGVQGG7a38SRkjBBAPBOK7K3JQr+z2i912v /SOampVaXPvJbPvb+mdvRWD4J0K78OeH4bG9ujdzq7tu8x5FUFiQqs5LEAep7kDAwBvV4z0dkeot gooopDCiiigAooooAKKKKACiiigAooooAKKKKACvHvHKND48vfOhKyXEEbwzb1bdCgA24zuXDu5w QAdxIJ5x6c3ibR11hNJOq2I1V92yxNynnttUM2EzuOFZSeOAQe9eV+KJ4b7xlrN3FMtwA0doHXkK I15QH/Zd5AR2bcOua9PLU3iFY4Mc17F3Oak0q4m8QPdfaJoLbyUMclvdSRTRyjerBdpGFZHweck4 6EAi9aafBZ27wxh2jdmZvOkaQsW5YksSTk5J9yfWrFFfVxpQjJytqfPucmuW+gUUUtrb3uq332DS 7Q3t7tDtuYpDCpOA0kmDtHXAALHBwCASHUqRpx5puyFGEqj5Yq7Nr4f6fHqnjJZXVz/ZUH2gEEBR JKHjT3J2CbjoMgntXrdcv8P/AAjc+ENLu4L68t9Rvbi6eeS7t7doN6nARSpd8bVAXg4IUHGSSeor 4rE1vb1ZT6H1FCn7GmoBRRRXKdAUUUUAFFFFABRRRQAUUUUAFUdY0Ww8QafLZalaQ3trIpVopkDD kEHr0OCefer1FAHj3wr125s9dgsZZpJre8gFu6XC+XLHdRqX3FWAPzpuJ/3EIGGJr2Gvni8vJbu6 u9UW6S11m9vpJ7eTeYjHdIpiSIDPVEiEbr/Fsk3DlhXvGg6xD4h0Ow1S3DLDeQJOivwyhlBwR2Iz gj1FejjKbTjUf2l+Jw4WaacF9l/gX6KKK847gooooAKKKKACiiigAooooAKKKKACiiigAooooAK8 y+KniKxbXNJ0Flka/U/bEYx5jG5JkUA9Q5CTc9NqsDyy51vid4o1nw2mkR6RHbg3k7xvcXAYqhRD IqYAP3wjKScYGSMnAPL+EfB9z8R7q41/xJdQ3VnLOYGsYIDGkxgJjKMS7EwiUSnYRljgklSVPXQ/ dNV5bJ/ic1b94nSju/yN74Q6WrWOoa8ZC7ajJ5EQH3RBA8ipj13M0r7uch17AV6DTIYY7eFIokWK KNQqIgwqgDAAHYU+sKk3Um5vqbQiqcVFdAooorMsKKKKACiiigAooooAKKKKACiiigAooooAKKKK AOB+K3hyz/sC61yGxhTULOSK7mvIFMVz5cYZWZZUw+5I5JCOeRleAxrg7a1jsbdLeJdscY2gFix+ pJ5J9zya95YBgQRkHgg189eH1lj0W0t7kk3lrGLW5DNuKzR/JICe5Dq3PfqODX0GUyV5R6njZhF2 jI0KKRV2ljkncc8nPYDj06UtfRnihXefB3yo/DN7CoH2qPU7o3DYwzM8hkjye+IniUeygdq4Ou3+ FDRw/wBt26Lh5J47t2yOS0YiAx16QDn39q8bNI3op9mengJWqtd0d/RRRXyp9AFFFFABRRRQAUUU UAFFFFABRRRQAVBfXsGm2Vxd3Uqw21vG0ssjdERRkk+wANT1gePNQl03wfqk0FvBdztF5McNyu6J mchAHX+JcsMr3HHGc00m3ZCvbVninjB7XxPNq+sWFk+lF7qG7H2xcmV7ZkJlaM/cLCMp67VRsg4C +mfBXWrfWPBzi2gntlt7qQNDcD5lMoW465ORicH2zjHFeSaRbwR6DcaZo2+wuJIJJbaeeMoJt2V+ 0ouc+XvyBjAGBtG0oTufCu5uvB/iOP7faWNpa6jcNZ4s5Hfyldy8AZ2ALBXPkqNvAkXn72fexNFO glT1SW/oePQq2rNz3f6nvtFFFeAeyFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHE/EXw3e+L NS8M2MLXNvYx3ctxdXluseYlFvIi4ZmyrEyYGEbqTxgGuusbG20uygs7OCO1tYEEcUMKhURQMAAD oKsUU7u1hWV7hRRRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV4LHqA1q7v9WSI2 8Go3BuoYWzlIyqqpIPRmC7yOxcjnGT6j8StQu7Hwncx2RKXN4wtVmA/1KvkPJ9Qu4r/tbc8V5n+l e/lVLWVV+h4+YVNFTXqJRRRX0h4gV0PwxkMPjTUI88XWnRkjP/PKVv8A4/8A54rnq6D4Zt5fja9D J5nn6cuxv+eXlyncD/v+an/fo+teZmX+7S+X5ndgv46+f5Hq1FFFfHn0oUUUUAFFFFABRRRQAUUU UAFFFFABVXUtNtdY0+5sb2Bbm0uIzFLE44ZSMEVaooA89+LXw6XxV4a04acfsNxocv2u2jtYAWdE jYfZ0AxgMQmOwZEODtFeereJq9rmzlEF4r74hcREPbzxsrKXibBBR9hKn27EV9CV5Z438Axa18Sd OvC/9i29zaPBNqkVyqzXM3/LOCNGbAYBPMJCncI9pyBx6OExXsLxkrxZxYjD+2tKLs0eg+GdaXxJ 4c0rVkj8lL+0iuljznaHQNjOBnGfStKuD+Eeo3f9l6hol6RLNot01okyIER4gSFAUE7QMMFU8hBH kknJ7yuCUeVtHXF8yuFFFFSUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABXMN4gutK8ZNYaoqx6fqC/8Sy4j/wBWGjQF45CeRKxLsuPlKR9iDnp6zPEn hnS/GGjT6TrNjFqOnTlTJbzDKsVYMv5MoP4UAX/tEW5F81NznCjcMk4zx+HNSV84/EjwT4O+GfiT wWbXSryyht7yTVJtVLXV2LaOHY5RQXKhn2Rx5YcIo7Cvo6nbS4rhRRXE/Fy+1XS/CyX2lzXsKWtw Jr1tPRXl+zBH3/KQSRnafkG7jsMmiK5mkDdlcyPitqn2rW9H0mPpbK+o3Dc/LlWhiX0IbdMfbyhx yK5aoYLiW7kkmmuru+kfrc3T7t2GYYXoAvUgKAuGBHWpq+1wdH2FJRe58viavtqjktgoopvmIZPL DqZMZ2ZG7Hriuw5SbS9Nn8Q+ILXR7e4WyM0E1zJcmPeVjjaNSFBONxMq4JyBg5B6Vt+GdB1Pwr8V rS3v42ubKbTbqO11OCMhJG8yFvLlABCSBUJHIDfMV7quPoerQ+G/Fmm6tdN5VkkU1pcTEjbCkpjb e2TwoaJMt2ByeASPb6+XzGrVjVlBv3Xb+vvPfwVOm6anb3kFFFFeKeoFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUARXVrFfWs1tMu+GZGjdckZUjBGRyOK+a9c8KaroepL4XmvtSutMs7n7Vp9zqNu3krI EkdBFMCGbhwrLvPELEgbq+ma86+OGqafpfhrTpbtpvtY1GFrRbeMyOW5EgCjrmIyp3JLqFBYqD0Y eSjUXMroxrRcoPldmef+BPFknwp/ta2ktm1KwuZGvTHbARiwJ+SJHJ+RUKhF3MyjKEqDk46Rv2mN HjkaEeHddnnjCrMLcWrIjlVfaGadd3yspyOPmx1BA9C8C6KmheFdOgNqba7khSa8Dqoke4ZQZGfb 8pYtnOOOMDgCvL/GvwJ1jVfF2panodzo9lZXrpMYJoXRlkEaRnOzg52A56847UVpwnJuKt8wpRlG KUnc9h0HWbbxFoenatZljaX9vHdQl12tsdQy5HY4Iq9WP4N0J/C/hDQ9FeZbh9OsYLNplXaHMcao WA7ZxnFbFc5sFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQB5B8dr7TPEFkfDjWE95qcElvdLMpWOOIGTmMuXU5kRXXC55YHggEd74A1htY8L2pmv Fvby2za3MvAcyJwS6j7rMNr49GBHBFeV3WpHVvEXiKVpDKY9Tlg3HGMIqqAACcYAA9yCTgnFLY32 paDqkeoaRcJE7H/SrWYfubtQjKoY4JVlJUhl5wu05BGPc+oOeGjOnrLc8n65y13Gei2PdaK8P13x Br/iBtOluri1hk029/tC2axhZHLhHURsWcgqVkZWIwWB/hya9Ns/HFnP4Qm8QTwT2sMKyebbsFeU MjFdoCkgliBtx13L64rzauGq0UnNWud9OvTqtqDPKfs407UNT00JHEtheSW6RQrtWOLh4UAzxiJ4 /r170+o42nuJrq9uhtvL2d7mZd2/YW+6m7jcEQJGDgZCA4HSm3Mzx+VDAizXtw4htbdiR5sp+6vA JA7lsfKoZjwDX2FJunRi6nRanzVS06r5OrGzTtNeW2m2csDardyJFDC7AsAzANIUBBZUXc5AxkIe R1Hq9v8ADbw2mlwWVxo9leeWmDPNArSs3d95+bcTznOc1b8J+FbXwrpEFrGsct1gPc3nlhXuJiPm kbHc+nYYA4Arcr5TF4uWJknskfQYfDqhHu2eF+LPAesabb32k/ZL/V9Lnt2jjv7La9wsTBg4kDHl 1UjBAYv1A3cV3Xwh8SXvijQdQurvUf7ViS+eK2uikaO0aogYMqAYIl80cqDgDrwT3VQwWdvavK8M EcLStvkaNApdvU46msqmInWgoz1t16mlOjGnJyhpfoTUUUVynQFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFVrrTbS9uLW4uLWGee1cyW8kkYZoWKlSyk/dJViMjsTVmigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCnqmsWGh2hutSvbfT7U EKZrqVY0yegyxAzWBe/FLw1Y3iwNqccyAgTXUH7yC3z082RflT8TwOTgc1yPxL0fUofEw1e6jn1L SRAUt2hh3jTzhfMDIo3EPtDeZg42kHaMbubsRbfYYltEiWz24iWFQI9vbaBxtI6Y4INevhcDHER5 uf5HnYjFyoy5eUv+LLgR/ErXbUrH57xWt2GR+sDRmNSR/eDxSf8AAShz2qvVez021sfltbeO2Ukk rCoRSTjJwOM8DmpI7PUbfQ9O1q68l9N1A8SR/KbV2bbHG+T8244UMMfOQuORXu03HCwhSqPV6HkT TxEpVIIkqv8A2fB9okmCujyOskipIypIygBWdAdrMAAASCRgY6VYortlFS3VzmUnHYK7T4U6PHLH ea8wYvOzWduHHCxRuwZl/wB9wee4SP0zXG2djea5qcWlaY0aXsi+Y80ilktogQDIw7nJwq5G4+wY j2nSdLt9D0qz060Qpa2kKQRKzFiEVQqgk8ngDk14GaYhWVGL9T18BRd3VfyLdFFFfOntBRRRQAUU UUAFFFZOveLtC8LGAa1rWn6Qbjd5Iv7qODzNuN23cRnG5c46ZHrQBrUVV0zVLLWrGK9068t7+zmB MdxayrJG+CQcMpIPII49KtUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAVm+JdaTw14c1XV5Ymmj0+0lu2jQgM4jQsQM9zitKs3xJosfiTw7qmkSyNDFqFrLaPJHjc qyIVJGe4zQB5t4F+OV74s8VWWjXnhyHTluvMVbiHUTOQyoz4KmFOCEbnPXHHp63Xk3gb4G3PhPxV Zaxd+Ik1EWu9kgisPIyzIyZLGRuAHbjHXHPr6zQAUUUUAFFFFABRRRQAUUUUAFcZ44+KFj4AvoYN S0++eK4h329zAqMk0gJ3Qj5shwo3fMApHAbPFdnXJ+I/h3Z+MNYS51q5nvNPhiZLfTkbyUjdhtdy 6Ydsr8u0nbgtkHIw/UCppHxp8G61IEi1qK3Lcxm8RrdZUO7EiFwAyHY2GHHQdSAe3r5y8eeAb/wv 46s0gs1/4V/dQC0aGSaS4EcxUqpYvnygSURRu2kn+8RXefDHxPeadPBoWsX4uxNvNpcTNI8pfJdo mdidwwW2liG2rj5sZrreHcqXtqeqW/kc3tlGp7Oejex6jRRRXGdIV5lffCO6s4bg6NqcaLGxa00+ a3VIVTOREXUZAAyqsBwNuQ+Du9HvGuFtZjapHJchD5STOUQtjgMQCQM9wDXkHiLW/H9nqSaTqOoW FnD5Qum1DR49rSBmGINkhYoUKyDzOd6lThSCK6sN7X2ijRdmznr+z5OaqtEZFrdJeRllWSJlbZJF MhSSNh1VlPIYZ6V6p4Jsbe98DwWl1awzW03npJbyRhkdTK+QVPBBB59c15dDD5IbMs08jnc81xM0 sjnAGWZiSeAB7AAV6Z8Mb6G68LiFJlkmtrmeOZM/NGTIzqCO2UZSPYgjivazPm9jDn3PLwNvay5d jzJLKbSbq80q4+aXTpvs3mbt3mJtVo3z1yY3QnPRtw5GCZKsazqVvrXifWr60jjW1adYUmiPFz5a KrSn33Bo89CsSEcVXr1cLKUqMXLex59dKNWSjtc7v4URq1rrUxjUTfbFhEm0BjGsMbKuepAaSQj0 LGu7ryn4fa4dL8TyWly7fZdSijjt8sAqToZGII9XVhjH/PLHcZ9Wr5PGxccRO59FhZKVGNgooori OoKKKKACiiigArxv9oTStR1Kbw8bDSL7VBGtzv8AsVuZfLyYsbsdM4OPoa9krl/EvjGPw74m0Kyu JI7eyvBMbi5lHyRkBRGrNn5CzE4JGDtIyDgFpN7CvbcyfgVpN9ofwy0+11Gym0+6+1X0xt7hQrqs l5NImR2yrKce/Nd9RRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVi+IvGWj+E5tPj1a9Sy+3SvFC8mQmVjaRizdFAVDy cDJUdSK15pkt4nlldY40UszucBQOSSewryDxJ4yt/HDWz21hMlhGHaG6uNo89G2bWC53KDgnDAHG 3uSF6cPQliJqCMK1ZUYczL2qeMtD+MUGp+EtNnmWG6Tyk1aJEcRTLh+EJDowAyrkDkEgghSeR0WH VNM1nSbfxFbQ2txb6xAsyQTrKCHYeScqF58ySLPyjoeMGm2enjQW06TRoY7R7G5W4WJHaFZQMhld lBJDBjkkNnPPPNWb3ULzXPGFrqdzaxWLXF9pcXkJP5ibo7kFn3EL1UqACByoAGeW9R4aphudL4XF 39bHn+3hX5W/iUl91z3uiiivCPXCuc8VeBbDxZJHPPNdWl5HG0cdxaTFCAeRleVfB5G4Hv6nPR0V UZOLvF2YmlJWaPDJ7G90u6ns9QSNbqB9jPCf3cgwCHUE5AII+U8g5GTjJihudS0u7kvNHvl0+8kh aCRpIfOjdcHaWTIyyE5U54ywIINdD48tby38U3Es1ti0uFV4LhWBDbVVWVh1DA8+hB9QawK+yo8u Kw69prfc+Yq3w9Z8mlg0fSb/AFbVLfSNM8n93atLJPeSN8iqyIvQfMxyx7fdPTNW9f0LUvCdzBHq Pl3NrcNsiv7ZGVN/ZJEJPlk9FO4hiMZUlVNzwPcR2fjrT5JZdn2m2uLKOMDO+Q7JRn0wkEn5123x Qz/wgGt8lF8jLyr96JMjdIv+0gyw91HWvMxGKrUMTyp+7pod9HD061Dma111PI9dkMGkz3CHE9vt uIPlLHzo2DxYUcsd6rwOT0HWvoWvDfCl5pmsfEDTNLZjcT28jXTxoCY0ZFYKGbGNwcZC5zmMnHym vcq5szqRnVSj0RvgIuNNt9Qorzz4yatq1jpujWWlXX2A6hfrFNdRzCOZERTKfLznJwhzwwONpGGL LpfDTxNrHibTb59YgtI5rW4EAktEkjWQ+Wrn5XJ4G8DIZgSD0xXmezlye06Xsd3PHn5Ou52NFFFZ GgUUVw/gHVte8QaXour3+qWogvLC3vpbOLTXjUedGSqLMZCCVbrwTgDIG4GgDduvGGlaf4iOi3dy LS7+yreK0/yRvGZPLwHPG4NtGOvzrjNeQaxcRa94v8Vz/M0f25bTLYZZI44IwUByQV3tKeMYLMDg 5FS+Lhca7481eXU7KxSO1WO1t0UeY7xjMiSMx458wnAAxkg5xkxwW8VrCsUMSQxLwscahVH0A6V9 Hl+Etau3v0PExmIvekkekfCvWBqHhcWJRlk0eX+zWLPv3KiI0bbjySYnjLZ/i3fU9jXj3g/Xj4b8 SRtPcLFpV/i3nWRiESbP7qQdgW5jOeuYuflAPsNePiqLoVnDp09D0sPU9rTUgooorkOkKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK8 4+Efi/U9fv8AxTpuq3H2u406/k2v+7BjQzTRiIhOmPJLDOTtdQSSDVKLab7CvZpHWeNtNudY8H63 Y2eTd3FlNFEFYKS5QgDJ6ZPH4147ZzXUyzG8tHsplmdfJk+9tDfKSOxx1HrnGRg16t8RNU1nSvDx k0S2eWd5PLmuIkEj2kRViZljP+sYEKAuD97O1gCp8k0lrJrMJYSpNBGSpZJPMO7qd5ySWJOSTySc nrXu5VzXk76HkZha0dNQ1q6ex0e+uY2CSQwPIHZdwXCk7iO+OuO+MV1niT4W6xp1jLc+HdRXUbuA Ce3s9VRcmZDvjIkTaOHVThgQcY3KORzscscwJRlkUMVO0gjIOCD7gggj2r0X4aeJEvPDS2N5eRvq OlL5FwZJQXaNR+7mfPPzJtLHpu3DtW+ZSqQUZwemxjgYwm3GS13OyHIBxj2pa4iH4kLH44udEu7a OKwZ4o7PUI5QVdnjVl3jsGYsiMCcsu3gld3b1804uO57qaewUUUUhnn3xasbll0nUo4Jbi1tGlS4 8hC7xh1G1yqjJUFcHGcbgSMAkcPDNHcQxzQyLLFIodJEYMrKRkEEdQRXvNea+Kfhrd200974cEMg md5ZdMuH8tN7ZJaJwDty2SVIIJYkFeh9rA42NFezqbdzy8XhXVfPDc4+ZZA0E0DbLi2njuYj6sjh gp9mwVPsx6V1niH4uaZL4X1CK4tBZXsyNAlvq9u0lo27gGR0zGVwSSu4Hgj3rj/tjpfTae9ndHVI HKTWNvC00seOjEID8hGCG6EEd+KN0OoxyxZljZGCyxnfBNGww2GHDoehwcZB9DXpYihRxjUoy96x w0atXDJpx0JJ9Wm1DWbHVdIto/D91Y6fDaiMWwMUcw80yRqpC74l8wAMpAOTtIxmugs/jdLfRWs/ 2ewtkjuZf7Qj+0GYQW0cgjaQuANrZEjgFPmWPtkGsCCCO1gjhiQRxRqERF6KoGAB+FLHEkbOyIqs 5yzAcsfc96UstpuMV2uNY6acn3Ou+LKv/aHhq6B32jm4txtII81kWRG/74imGf8Aa960Pg7Cf+EZ vLp12yXWpXTNhsgiOQwKQO3ywrkdyCe+B5+2sXi6LZ+GDa79OjvBJHMEXy0tljZlh9QyzBcYAXyw ATng+kfCW3EPge1lH/L1PcXOB0AeZyAPwxz3OT3rx60J0cOqc+kn+W56VKUalZzj2R2VFFFeYd4V 89fF74aReH9U8MXGmxzT2AU6bDb3l60kFvhGZRsfdlREsgXHQqpOcCvoWvG/FuvWnizxGl5ZyST2 dhHJawTZHlSOzDzXTB+YZRF3H+623g5Pbg6cqlaKRy4qahSbZg290l3dWixWUliljo9npzpIgH7y JpsgMOHUKUII4w/QHIFyg898VHcXEVnbTXE8ixQQo0kkjHhVUEsT7AA19fRpRoU1BPRHzdSo6s+Z 7s3/AAP4J0Xxtp+tya1ZPdSLdNZKrPLHsiEaNhSGAO7exLLyQ+0khcV6ZoOh2XhrSbbTNOh+z2du u2OPcWPJJJJJJJJJJJ5JJryz4dza7/wl3mwaTqdtpkxMFxJdp5UEkaJuEgVwHV1kcx4AG4Ak5Cgr 7FXx2Kd60mpXR9Lh/wCGrqzCiiiuQ6QooooAK801Lxt4hh8Pa7r0F1pMcGn/ANpSR6bLYyvLLHZz SRt++EwALbAc7Pl39Gxz6XXH3fw1tbqz1Cw/tfVItKv3uGuNPjki8phO7vMuTGXAZpH6NkbuCMDA B2FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXlvx Y1TQvC3jbwLruo3T2E9tdzGeZRII2tfs8sRMxUbdqS3ERBf7oeQr1avUq8B/aZ0cnbeSRTJbXaWd ubxUdoYvLuiW84gHYNkz4YDP3upAFaU4qUrN2/4YicnFXSPfEdZEV0YMrDIYHII9awte8C6H4luB c39juutoQ3EEjwylQSQpdCGI5PBPc+tcn8LfjJD46aGwv9PutI1J4swtdKFS8aNVE/lkcbkkLDaM /LtYHkhfS6i7i7orRo8R1/wvp/gfxDHpelL5GnT2xuI7X+GB/NckJ/skN90DjyyT96svUdHstWVB d26zhSMZJGRuVtpweVJVSVOQdoyDitDWP7Rk8VaousSSyX8M7/Z/MRFC2jSymAIUAyu3I+Yk7lOe gquq376RDrCaXdTaLMN0d5Chkbb2kMQG/wAs9mAPHzHC4J+tw04U8NBVpLU+drxlOvJ0lsUdP8O2 Om6fcWSW8LW1xLLJJH5Sqrb3LbSAMEAEKPZRXZeH/iRfeH4BbazFJqdjHwuoRuvnxpx/rVbAYKM5 dTuIAypOWrm7e4iu4VmglSaJvuyRsGU/iKdJGk0bRyIrxsCrKwyCD1BHpXRWwtLEQUX02MaWIqUZ Nr5nvFFfNk3xW8Q+ANUXR7GWK9juY2mtotWaWby4ohErusm7c255wpUn5BEDj96K9a+EXjq/8faB fXWpW1tb3dpetat9kLeW48qOQMA3I4kx1P3c98D42pTdKbhLdH00JqpFSXU7miiisywrxnxjMt18 QdakUrmCG2smC+qq0vP+1i4H4ba9kkk8uNnIJCgnABJ/Ic18+6RqcuvW76xcuHvNTf7VOqn5Yn2q nlAdggRU9SUJPJNetlkOavzdkedjpctLl7l6sU2+rXHiNTLcmDTLcmWOO3jGJwUChJWJzlW3thQA QVyeMVtUV9VKPNY+fTsLXrvg6PyvCOhoAoC2MAwowBiNeleQMu5SM7cjGR2rR/4T7W7jR7XSrC2b R47azS3nvbxFkllfYFJhCSYUDk7myc4+Xg58fMqNSs4Kmr7/AKHpYKrCkpubtsekeNPEn/CL6FLc xmFr6RhBaRTMQJJWOBwOSAMscc7VY8YzXjy3mqeH5LrWtNkkutbYtczRGVhFfSbfmRlZ8KGACqc/ IAgGQuC9bciRHkuLi68pWWEXUpmMIY5fa7Zf5iFJyx+6vTFTVWGy+NOElV1bJr4yU5J09EjpvFvx W0zWfCOuWGizSHxA1pIgsZd9vPACvzzE9cRoWkyhJbZhSWIrlLWzh0+3S3t4kghj4WONdqrznAHY ZqrrmjQa9ps9pONvmRuiTAfNGWUrkEEHoTkZ5BIPBNP0e1ex06GCQRrIoJMcWdkeWJCLkk7VztXJ JworbC4X6rOSWqfX9DPEYj6xFN6NFyrfgvwdYax4sYXVnvsBFJdyRI5WOa4LxANKoI3YVMAHIILZ AwM0pZUgieWRgkaAszHoAO9dr8H9Lufsmp61e20tq9/MI7SOYkOLWMYUlP4SzmV+edrID90ARmVR Qo8vVl4GDlVv0R6HRRRXyR9EFFFFABRRRQB5l8SvjJP4D8RRaRa6GuqSG1S6kklvfs6qHd1UDEb5 P7ts9Mcde3deGNZbxF4d03U3g+yvd26TNAH3iNmUEqGwNwB74GfQVwfxQ+Ddx491oatY66NJvBZL abJrQXEbFGkZG++pHMjZGeRjGK5zwT4r17wPpp0GaKHUruzwJre+neB4HPDeWdjFoWYMU9ASAcAK u1OlKs7Q3MqlSNPWWx7fJKkKF5HWNB1ZjgU+vCdflm8Yagb3WIopNieXBaIzPDbjJyykgZc55fAP yqBjHNix1zXtJx9i126ManiC/Auo/wAS37w+v+s/TivQ/syvyKXXscf16lzW6dz26ivN7f4uTwWZ S90OeS/AwjWUitbyngZLMQ0fUkgggAcFjjOf4i+Lhn8O3tullfaTrMhjjtUjTzvtJZwCkUiAhZCM qu/Zgsp6ZI4pYerH4otHUq1OW0j1iuH+NPiDUvC/w6v9Q0m6axvxcWcCXCxo7IJbqKJiA6sudrtj IIz2rk/DvxF1bw27WmpJc6jZ22TPBcQuNSt1PK8E4mXOcHglRwZCMH1HWtE0vxhoklhqNvDqWmXQ RzG3zI+GDowI9CFYEdwDUVKUqTXN12fRlU6kai0PNPgN4o1/xFfeIYtb1u51hLeK1aD7RBbx+WWM 4bHlRJnOxeuenGOc+vVz3hXwB4f8EPdvoemR6e12EE5jZiXCbtuck9N7fnXQ1iahRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSEZGCMilooA+dvFXgmfSfFskV3YxRWN1qU19Dequ xpGcTvtSVBuD/vEO1iCptUZN2Mr3vh/4rDS9LS18RRXk9/bxf8f1raGSO8wOWwgIic8ZDbVyTtJG ccj8V7e+8W+Mr63nkubbTtHRVtIVYZe52wzR3MfTpl4yrEg4OCMsBLnnOMV9Dh8GsRRXtFbs0eLW xDo1XyO/kSaz42svHWvC500XSWX9nW8iSXFuYt29pTlcjJxjHp3GQc16p4H1mDXfC2n3MEC2u2MQ yWq9IJE+R4x7KQQD0IwRwRXk/NdD8LZr+bXrqW0jlfRZFeO4kkkAj8+N9gMak7sgrIjEAKdo5JXF LG4aNLDwXN8N/nceFrupWk7b/odP4o+G+n69NJe2hGk6u3JvIEyJfaZMgSD64YdmFeZr58N1d2d3 EsN9ZTeRcRq25Q21XBU91ZXRh3wwBAIIHvNeX/GLRYrWTT/EcNvcm4hdbe6mhmAVoPnCoyM4DkyS LtwGbJIHJ548DipUZqDfuv8AA6cVh1Ui5LdHnfibwfB4ouLKd7++06e0WWNJLIw5ZZChZSJY3HWJ DkAHjrzXqXwN0Gy8P+BxDbX11qN3JcM1/PeBFdrlVWN8KiqqriNSuBypU85zXB3moW9h5YmkAkkO 2KFRukmbIG1EHLtkgYAJ5FelfDfwre6DHf3+oKttc6j5Zayjbd5QQMAXYEq0hBAYrwAqqCwUMe3N I0rKS+I5cBKpdr7J2lFFFfPHtHl/x88aa34N0fw22h3iWM+oav8AY5pngWU+WLO5mwA3AO6FOfTP rXkvw7ttY+JnxD1GO/1m5a+gkSae+t4oozHa+Uv7orsK/NIcqDgn94csECj6K8Z+A9E+IFjaWmuW stzDaXH2qDybqa3eOXy3j3B4nVvuSOMZx81N8G+AdD8AWt3BolrLbpdSieZp7ua5d3Cqo+eV2bAC jgHHXjk1pTqSptuO5E4KatI5XUvhadMtWuYvE7W8aLunl1WBJIx/tDYYtgxxjJHAPXJPKXMN7pV4 LLVbGSwum+4c74ZsDJMUmAG4ycEK2BkqBXafGyRZ/D2naayzSJf3yRSJbzGOQRqjuX4IyqsqE/1O AeT0nXNK+xL4R1kxjS1dTa3i3CiXTC2fJ+Ur8iBgVRskDcqFdtexh6+IhT9q3zRvqup5lalQlP2a VmUrW9gvlka3lWVY5Xhcr/C6Hayn3BFTVh+GbOWNry+MkclvqGyeP9wYZCcEFiuTtDqEfb1VncEn jG5X0VOTnFSaseLNKMrIKKKK1ICqGp/2k1xp8elwNeXEkzg2qYBmVYZJCoJ4BIjIXJALFQSBnNq6 uFs7We4ZXdYkaQrGMsQBnAHc8V1OmfDfXJr7TLi8mtLW2S4juZoYnbzovLcSKu4fK+4qA33QATgt jngxmIjRg05Wk9jrw9GVWSdrrqM8CeBbjVr+TUPE+keRHamP7HY3DJLGZR8zT4HXGVC7gCpVjtBN eq0UV8hUqSqyc5vU+khCNOPLFaBRRRWRoFFFFABRRRQAVgeIPAuieKLuO61G0aS6jj8pZobiWF9m c7dyMpIzzit+imm07oTSejOQX4T+FwrA2E0jN0klvZ3kX/dYuSv4EVxXibwlf+DVe5eU6joi8teN hZbVfWYZAZR/z0UDA+8uAXr2SiumjiqtGXNFmFShTqx5WjwlWDKGUhlIyCOQaZNClxC8UgJRxg7W Kn8COQfcciu9uPhDp7Xcj2mp6hp9qx3LZwtG0cbf7JdGIX/YztHYAcVwVxDPouovpWpyKNQjYqri No0uV6q8e7hsrgkKW2nK54r6ehjqWIfJs/M8KthalFc26NDT1h8SalbaX4pgbX7KYmKC9lcRXFqW Ugxs0YQvE+ADyTkjcGByvstvbxWdvFb28SQQRKEjijUKqKBgKAOAAO1eL+H1kbxv4WKH5RfSl+f4 fsdyP54r2yvAzCnGlW5YKyPXwc5VKfNJ3YUUUV5p3BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABXJeOtW8W6ZJYjwxotvq8cqyrcNNKqNAw2GNgC6hgR5gK5HO3kd+topgeBav4g1 G41MzeILOa21iSBUjs4LKRXljUsQEUNJvbe7A7W7rwMjNnwvoOt+NNPt76waxXSrx5Fj1COYs0Sr K6E7CuHOEyCDtJYDoMn3So4YI7aMRwxrFGvREUAD8BXo/X6sYKENEv66nD9TpuTnLW55xr3wlWy0 +K48P3N02oW4zJb3VyXS+/vbt3COeSCu1d2MjHS78J9BGmx65ezaPNpd/eXSLJJcIqyTRpEu37pP yhmk/Ese9d9RXK69SVP2cndbnQqMIz50rMK8h+IHjnTfEfioeFrR1nl0rbfXMiu23zMvGsYAGH2k lmyflby8AsDs9er5u0/4c31v8ULzSLqOF9R1m3GqX1xZxFLe0gluJDPEowFZiVVd/LMXDMuE5rDS jGqpz2WpNeMpU3GO7PWPhBpccXhGDVpIojf6ruuZLhFwzwl3NuhPcJEyjjgnJGdxJ7mmxxrGioih EUYCqMAD0FOrnlJyk5PqbRiopRQUUUVJQUUUUAY/iTwnpfiy2WLUbVZJI8+Rcr8s1uTjLRuOVPA6 dcYORxXi914dj0zXtZtLgteG3nMKy3CjMkbRxSAso+Xdjau4AZEaZ5HH0BXlHxJWFfG1uYY1SdtP zcuvVx5mIcj2xNg+59BXp5fNquoPVP8Aq5wY2KdJy6owKKqtZt/aiXaS7F8kxSx7c+Z8wKHOeNvz 9ud/sKtV9ej5wKKKrXGpW9oW852ijUhXmaNvJRj0VpMbFY8YUkHkccilKSjrJ2GouWyLMDRjWtDE 8rQ2jalbrM6fe5b92o4PDTeUrf7LN06j3avBp4fOieMtJGWGA8bFXQ9mU9mB5B7EA13Phz4oWVvp qW/iO7+y6hCfLNw0REdwuMrICoKqW+7tOPn4A+ZM/PZpRm5KotVsezgKsVFwe56BRXnMfx28OXPi C3022jv5rd5pIJ9SNs0dtasgTHmF8HBZ9mQDgj5sDDV6NXgOLjuj1009gooopDCiiigAooooAKKK KACiiigAqlrGi2Wv6fJZahbrc20nVWyCCOjKRyrA8hgQQcEEGrtFAHg+rWereE9Um09JRJqVmVu9 PmdsfbIlcFQ5xwSR5cm3+9uAXeoHt+m6lbaxp9tfWcontLmNZopFBAZWGQeeeh71z/xD8MP4h0KS WyhR9bslaawYkAs+MmIk8BZANhzwMhuqqRgfBvX4Lizu9JS7V44Sk9hBI58z7K0aHcoPJQOxUf3e BwNtd9ao8RSU38UdH6dDjpw9jUcFs9V+p6RRRRXAdgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc94h8eaL4V1CCz1W7+xzXED3E O5GbzVRkVlQKCWYGRPlAz8wxXk/9oXHiC+uNbvU8q6vlQiEgg28IBMcJz3Xcxb/ad8YGBXQ/FC4l /wCEuia4uFh0+x08SqGCqAzvIJGZyc4CxpxwOp5xxzFndfamlYEGINtTA5IAHJ+ucj1GDyDX0mXY aMUq0t3seHjazk3TWyLNFFGRuxnnGcV755BU1fUP7J0m+vtnmfZbeSfZnbu2qWxntnFey+F/Ctt4 b0EaeRHcyTZkvJimBcysAHYgk8HAAUk4UKvQCvH761F9Y3NsSAJomj56fMCP617N4SvG1DwvpM8n EzWsfmrvD7ZAoDqW7kMCD7ivnc25vc7ans5db3u55x4q8EyeDs3Vj5txoJPzxsS72HH3ixJLRZzy clO52fcx/mXO1tjdmxnB9cV7lLEk8bxyIskbgqyMMhgeoI7ivCtcs4/BOoHS7iOS3g37NOJPmm5j J+VIwo3My5CbMbuBjIIJeX4zmXsqr9GLGYa37ymjF8K+HY9A0mSyEHlQSNuNq05uEXKKHAZlBIZt 7YOcBsdAAOq8M+LNY8IybJJrrX9J+ZVsnMYntxkbPKkYrvA+YESNnBXBG3a2X9q8u8+x3MM1jfbd /wBlukMchX+8B0Ye6kjII6gipq9L6vQrUlBapbM4vbVaVRy2b3PXPDvjDSvE9s0lldL5sf8Ar7aX 5JoD6Oh5H16HqCRzW1Xz/e6VY6kVN5ZW92VGFM8SuQPQZHHU/nXU+GfiTaeEvCcel3yzS6hYKlvZ xOyp9sjMmyFY3Y4Z1QoG3YbILYwQT8/isDLDrmi7o9jD4uNb3ZKzPV6K474e/Ea38b2jQzW0ul63 bri6sLhdpyMBniOfni3HAce2QMiuxrzGnF2Z3ppq6CiiikMKKKKACiiigAooooAK5fS/AsGjeMZt Zs5I4LWaCRGsVgA2yu6M8iuDwG8sErjljuzXUUVSk43sJpPcKKKKkYUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeafFjw35dxF4m hWN/LhSxvoXyDJC0o2OD0Pll5DtI5DtyMYPKbfmzzwMdePyrL+P11qd58QP7KTVtSttM/syynNpa XBjQyfabg7zjnOY4+/8ACB61P8D7H/hZHhnQp9QudQmSPSbWW9nRXg8+5khjbmTC54ZmIT+8p4BG fcwOMjRpSU+mx5OKw7qVIuHUk1S+Gl6XeXrJ5q20LzlAQN21S2MnpnFen6f8LfD0eh2tne6Xa3d2 kY82+KYuHlIG6QSjDqSecgjHAGAAK88+IHhePQbqTRkvXnsdSsLl1M7fvLULsQhpP4lPmnBb5hsP LdV9l0G9k1LQ9Ou5V2y3FvHK6+hZQSP1qMfiPbRpzhtr95WDo+ylOMt9DyfxJ4T1LweySO8mraUz BTfERxyW+WCqJhuG7JZQGjX1yoxk2PBfjqHwTDNpepw3EmnvNJc2t1a2zzMrSSl5Y5AgOMF2dWxy uVxlAX3/AIl+KrNrR9CtZzNqbTQmaOJN4hjDrI3mN0QlRwPvHcpAxyOJrrw9OWOoWrPZ6M5601ha 16XVao9xt7iK8t4p4JUnglUPHLGwZXUjIII4II70+uF+El9Zx6Lc6LASk+n3EkjRORkpM7Sqyjsm XdB7xMO1d3Xz9SDpzcH0PZhJTipLqZniDw7Y+KNONnfxb49wkjkU7ZInGcOjdVYZPPoSDkEivGI4 bmxuLnTr5lbULFxDcMq7VkO0Msij0dSrYGcZK5ypr3qvFfFUhk+IHiFWjaFkNuqqybfMTyQRKP7w LF03esRX+GvUyypKNbkWzODHQTp83VFOj04+lZmv6xb+H7F9RnjDxwK3mMpQOqYzgFiBywQckDJF QLql5eeH2uWtnsbh0fhDvZMOVyoKhi5X5lUqOcKQDxX0sqkYtrqtTwlBtJ9ButHS9VurGwv9Rt9P s5Wfz9R8wCSzQxE+YjZG0nKru5wZUOCK+kI8eWu1ty4GGznPvmvjnxN4H1HwlrmlSQXEMejeItZC 2d5bss0rRedHJHdDaQn3SG2rj5UbCqC1fZFfH4uv9Ynzn0uHpexhyhRRRXEdQUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQBzviD4c+E/Fl+t9rnhjRtZvViEK3OoafFPIIwWIQM6k7QWY46ZY+tbdl ZW+m2cFpaQRWtpbxrFDBCgSONFGFVVHAAAAAHTFT1U1bU4NF0q91G53/AGe0heeXy1LNtVSxwByT gdBQB5X8Vof7Q8b6TG1jGgsY1uTeLOd0qOlxEYXjxggMwYEk4ww4zzsaVrWpr8G5jppji1jS7RrM yXbFVBiG0zZ2tnMYEi8EEkA45xyOpanPq+sarq80M8YuGXyLWVg0kUKRqBGQrFQS/mN8p/5adTXS 6lZP4f8Ag7M9rLdXUmpC2e4YqJXCzvDHLtULwojLduME161aiqVCnCWkm2/6/A86lUdStOUfhS/r 9TkbCzSxtyiSzT+ZLJO8s7Zd3kkaR2PA5LMTgAAdAABirFR29zHdx+ZE25clTkFSCDggg8gg9QeR UlfVQ5VFKOx8/K7b5txourvTLiPUNPuPs19bq2ws2I5F4JjkyD8jFRkgbh1Ug17H4Z8R2vijSory 2+Rj8s1uzAvBIOGRsE8g5+vUcGvFrexjtbu7uFeZnumVnV5CyKVUKNinhcgDOOp5p0cMlnqSalp8 7adqaqUN1CqlnQjGxwQQ69CAehUEe/lYzBfWPfhpL8z0MNivY+7LWP5Ht91rWn2N5bWdzfW1vd3I YwQSzKryhRliqk5OBycdK8H1Txhaa94y1a9sy2oW11dvZ2slqjTSSLbxqGEcaKzOok+0HcOAMHkM DUceg2Fvbz/akF80rebdXV/iWSdhn5pWI+bAJxngDoBit74X6tcL4thg0HT4r/SbmHzNQvVcIlsp MjRlMdWLhwUAz86sTwa4VhpYFe3bTfY6nXWLfsrNLuc/pPgPSPiJ4s1PT9b0u4+1f2LstnuIpGjt JS8yPv2HYXBKsu5wcrlDnJW34o+GvjW+W5soo7do8+QLyMLtmErovmKCzNH5atI7ZDZMaAZBJr3L SdD07QYZYdNsLbT4pZDNIlrCsas5ABYhQMnAAz6AelXq86WKqc0pRduY7lh4csYy1sYNj4VtpPCm maPrEFtqP2WKDzMxDy2mj2sHVT0+ddw9K3qKK5G7u7OjbRBRRRSGFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFcv8RtBv/EHh0QaeQ8sNxFctas2wXAjbds3fwncFYdiUAJCkmuooqoycWpLoJrmT TPBY5yZ5oJYpLa7gIE1rcLtkjJ6ZHcHBwwJBxwTW54P8dah4Za10/VmhudDQi3huYo2863XJ2NKd xDIAQhIAxgMeCxTS+LVn5eteHtQ2oFZbixLY+cuwSVR9AsEv4kVyjKHUqwDKwwVIyCPSvqYKOY0L 1FZo+fk5YKraD0Oo+Kmj22m6lpmr2qrDdX9z9kuo1Xi4AiZlkPo6CLG49V+XkhMcxVSDTY7doFjk lFrb7/s9nuHkQM+NzIuPlJ2gYBwMtgDc2bddWDozw9Pkm76mGJqxrT5oqwUUVn69rlv4esPtVysk gaRIkihAaSR2YAKqkjcec4HOAa7JSUVd7HKk5OyLlzbrd200DlgkqNG204OCMHB7HmtHwFq174b8 TQrcTxy6dqcjx3EdtbJCi3Lsgil2jnLYZWOSS0i4ARQEzF0nXbvR7vXpPI8PaPZ2TzkasojeeXCs FyzKI4wMqXY9T0wMmFvI1rTRxL9luYldJEJRwG5BU/eVhwc8YOD248yp7DHKUI6tdTuh7XCuMnsz 6CorA8Da4fEHhiyuJbmO6vo1+z3jxjaPtCfLJ8vYFgSB6EHvW/XyTTTsz6NO6ugooopDCiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooA5b4kRBvC8ku3c8M8LL7bpAhP/AHy7V5lXsfiP QLbxRotxpt08scU20iSB9skbqwdHU9MqyqcEEHGCCMg+N3FvdaRqculakqJqESCTMedk8ecCVMjp ngj+E8HIKlvosrrQSdJ73ueLmFOTaqLbYWiiivoTxjnvH0l63hi6tNLufs+sXuy1stsqxyPI7qu1 CxGGwTyOR1HSvcfDPw60LwndG7sbVjfESBruZy8jB33tk9Cc4GcZwqjOBXnfh/V30HxVpN2W22kr tZ3RYEhEkHyvx3EqRLnoFdiemR7VXyuaTl7ble1j6DARj7O/UqatpsOs6XeafcrutruF4JVwDlWU qRyCOh7ivDde0TVPCscel3BhtJjtjsr+OLFrcbcHaFyfLbAxsJ6E7SwBx77VTVtKtdc0+axvYvOt phh1DFTwQQQykEEEAgg5BFcOHxEsPK62e51VqEays90eU+A5JYfHttHaSyJ59vLJeQqf3bxIAquw 6bg7IARyRuHQcew1xWgfCPQvDmuQatbPqEt7C0hRrq8kmADBht+YngB2A78jJO1cdrSxNWNaq5xV rjoU3SpqDdwooorlOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArlviN4d/t7w 5NLAjnU7ENdWbR53M6jJjIHVXA2kc9QR8wUjqa5v4geLLXwh4bnurhrlZJt0EH2OIPL5hRmyNxCj aqs2WYDCnnpVRclJOO5MrNNS2PI4bgalGGtpXgMcoWWOWIrIhB+aN0YAo2OuRkZzWp4b8N634t0V tWsGsYYmkaOKxu2IkO07WMkiFhGwYMNmxiMDJByByPhW+kmlmaePUJLm+eW4mubzB+eIx27IcsZA RsAw+SCjpuJjYDpLG8uvDmptq+lRxm9KhZ4SMLeRjHyNyBuAGEc/dJP8JYH62pKtWoKpRlr18z52 EaVOq4VVoVdqanZ3Vvcw4HmT2VxFkkFkd4pADxlcq2DxkYOB0qdvEXjMTRxQa0be0gtGhWbeks9x JvLIz74SqFVwpI3Fup5xTZtWste8UeINQ0+4We0nnhMW0MmF8iPJKMAVbzPNVuAdyFT8ykCWrjTh i6UJ1VqRKcsPOUab0PUtB8Z6bd+E7XVrvUoIo1CQ3M1wRCEnyFKMCflYuQAO+RjIIz0lfOupaVpr RTXE2n2d1PDA2DNCpO3Yy4Jx0xuXjsWHfFe3eDfDk/hXQ4rG41a81mYHe9zePuOSBlVzkhAc4DMx AONxr5zFYX6s0ua9z28PiPbp6WsblFFFcB2BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABXNfELTdFvfDM13rxaOw0p11MzRvsaPyfnJB7ZUMp9VZh3rpa+b/iJ8S/FUnjTxXo EWoWkOjQXKWQtzYh3aJraB3Bct1JlcZxwMUAavhTwTrniS+Q2uiw+CtDgsbO0SHZJvVUlnd1jWRF O/EuC7DBPzDcSQtvW/CHiDSZ103yLi5jvLoW1vqtool8qKSXaHkUAFXjjJYkrsJQfNlto9wqhr2r R6Boeo6pMrPDZW0ly6r1KopYgfgK64YqrTVoOy7HNLD05u8lqeIav4b/AOEQ8U65cNbao1gfJjXU rhPMi2LGCWLooCqCSpZ+fk+Zsbas4Ocd6xoNAuIPC8/hw6jINJulU3kcK+XLLII1RnWVSCNxUM27 cSc881FqGpXs3irTrHTbmzLTsbWdbmUCO2lcp5TMq/OWJkTC8ZU9sg19JQlUw9J+32X9XPDqqFaa 9luzv/A/gi08UWsesX097LZmcmGxcotvKq4AYgLvK7g3ys2DgcEYr1Ssnwr4ei8K6DaaVDPNcxW4 YLJOQWOWLY4AAAzgAdAAO1a1fLVqsq03OTPoKdONOKjFBRRXiOufEPWdS8caiumXNzZxaPcfZ0sZ IwkNxsdTN5rYb/WA4RgMqF3AE7lpUqUq0uWG46lSNNc0j26ivLPE3xwj03QZbmy0m6ju41UzPfqi QWvzAEsd4807SSFiLbiAuQxArS+G3xOHivU9V0PUpLddesZXJitLedI2gAjxIS42gkyY2hm6cE4J olSnBXkrBGpCTtF3PQaKKKyNAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4XWvgn4P8 QeILrW73T7ptRupUmmeHU7qFHdUVFJjSUJ91FB+XnHOa7qigArlPisYl+HPiF5t21LRnXaQMOvKE 5BG3cBnIxjOeK6ukZQ6lWAZSMEHoaa0dxHg1xDHMVZx5iRtvCjkEg8HA6kHp74PUDFXwt4kshrei a9Jcl9OtLu4iuGii3pB+7lj3sMb9yttQsvADufu5YW9YWNdV1Oz0eBYJZryS0s7ezhBQSKNnyIOA qlSXzhQQ5JA5qjpEf9n22mJrV0tybHUIRdXMbMUDxXa5fc+T5alMlm/hUk4r6urVVak13je35Hzt Om6VRPtKx9D0UUV8mfRhXz1qFjBZ+P8AX/sN3prwy38szQ20qyTkeVGWeUq52nz5Z0CMo4jJ54I+ ha8Bk08+D57zR72Xa1mzTecylI5YpHZlkXsByVKrhUZSqqqBK9PL4qVde9b9TgxrapbXGaNcalr1 9c2en6PcSXMNw1uGZgsS4AO+SQZEalWVhwWKsMAsHVPXfBfg9PCtrK8s5vNTulT7TcEYU7QcIg/h QFnIHJ+Ykkk15Too8SXFwNa8J2moS+dAsSzPBAtrMmSyt++ZHZfn3BomweD82MH3SzM5s4DdCNbr YvmiEkoHx823POM5xmnjq05y5OZOPl+osJSjGPNy2fn+hNRRRXlnoBRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV8Y/HzXLl/id4 30rTLnU7nXWTdaW+n6p5D2oFjahZMNMgRfMlBBHOST619nV518Xvhzqfjz+yZdLvLS2ls/OV0vA+ 1lfYcgr3BjHGP4j6cgG98P8A4gWXxE0q6vrK0vLH7Lcm1lgvhGJFcIj/AMDupBWRTwe/Y109cN8I /AN78P8AQ9QttQu7e6ur2+N432VWCRjyoogoLcniIHOB97HbJ7mgAooooAKKKKACiiigAooooAKK KKACiiigDhPBPg270LxRrd41xG+mtLMLWMxsJf3kglcux4IDlgCOoxnkEnz/AMSfCfxNpPgu/itp 7eeG0tWtI7OzRpZLiDy2Uy42ZWRRtIiTcDtZcsWXb73RW8a9SLbT3/QxlRhJWaILGaS5sreaaBra WSNXeFjkxsRkqT3weK+etZ+MnjKw8eLaRX2n/wBmnxJb6X9maxJPkPqCWzfP5md2xic4xu7Y4r6M rgrj4GeDLvxANal0+8e/F8mpZOq3flfaFlEyv5Xm+XxIobbt25HSsDY72vn74wfES1t/iJDp6eG9 T1BdNaGO/u7WS2xMhMc/kCOWZAwKkAkjpIwHevoGvizxNaWev/EvXFfWXi1y51y4tozLqk4RXW4M MO6BZQrKqrGNuPmC471UZOLuiZRUlZn2F4d1yDxN4f0zWLVJI7XULWK7iWYAOEkQOoYAkA4Izgmt GsjwhoJ8LeE9E0UzfaTptjBZmYJt8zy41TdjJxnGcZNa9SUFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFfOnxQ+IXi2x8fa9Yab4kutJsrJ4oooLa2tXHNvFIWJlhdid0h74w Bx1z9F1x/iL4R+FfFWqTalqOnSPeTBRLJBezwb8AKCwjdQTgAbiM4AGeBQB0mj3T32j2NzLjzJoI 5G2jAyVBOPzq5TIokgjSONFjjQBVRRgKB0AHYU+gAooooAKqSaVZS3P2l7O3e4yG85olL5GMHOM5 GB+VW6KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//9k=