20240502 16131600 1.0 FALSE loch_water_bodies_with_class_public 002 72829.998800 461631.001000 552007.999800 1213803.000000 1 Projected GCS_OSGB_1936 Linear Unit: Meter (1.000000) British_National_Grid <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS[&quot;British_National_Grid&quot;,GEOGCS[&quot;GCS_OSGB_1936&quot;,DATUM[&quot;D_OSGB_1936&quot;,SPHEROID[&quot;Airy_1830&quot;,6377563.396,299.3249646]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,-100000.0],PARAMETER[&quot;Central_Meridian&quot;,-2.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996012717],PARAMETER[&quot;Latitude_Of_Origin&quot;,49.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,27700]]</WKT><XOrigin>-5220400</XOrigin><YOrigin>-15524400</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>27700</WKID><LatestWKID>27700</LatestWKID></ProjectedCoordinateSystem> 20250714 12593400 20250714 12593400 625000 5000 INSPIRE 1E507D3E-51D7-4B33-9300-5991B2FF9ABA dataset Scottish Environment Protection Agency Angus Smith Building, Unit 6, 4 Parklands Avenue, Eurocentral Holytown ML1 4WQ foi@sepa.org.uk GB North Lanarkshire 03000 99 66 99 9am - 5pm Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency 20250714 Enterprise Geodatabase Feature Class v10 https://www.sepa.org.uk/environment/environmental-data/ https://map.sepa.org.uk/server/services/Open/Hydrography/MapServer/WMSServer WMS https://map.sepa.org.uk/server/rest/services/Open/Hydrography/MapServer REST service Esri ArcGIS 13.5.0.57366 WFD Classification - Loch Water Bodies PUBLIC vector digital data 2022-04-11T00:00:00 WFD Classification - Loch Water Bodies Scottish Environment Protection Agency Angus Smith Building, Unit 6, 4 Parklands Avenue, Eurocentral Holytown ML1 4WQ foi@sepa.org.uk GB North Lanarkshire 03000 99 66 99 9am - 5pm Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency Loch Lake WFD Water Framework Directive Water Body <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains baseline loch water bodies which were created for the purposes of the </SPAN><A href="https://eur-lex.europa.eu:443/legal-content/EN/TXT/?uri=CELEX:32000L0060" STYLE="text-decoration:underline;"><SPAN>Water Framework Directive (2000/60/EC)</SPAN></A><SPAN> . The dataset is made up of the following categories of features:</SPAN></P><P><SPAN>Baseline Lochs - lochs with a surface area greater than or equal to 0.5 km².</SPAN></P><P><SPAN>The dataset includes the overall classification values from the most recent year, usually the previous year. </SPAN></P></DIV></DIV></DIV> 1 -7.994033 -0.867354 60.807762 54.756054 -3.090023 1228.719977 © Scottish Environment Protection Agency. Contains OS data Copyright Crown copyright [and database right]. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Required acknowledgement:</SPAN></P><P><SPAN>© Scottish Environment Protection Agency. Contains OS data © Crown copyright and database right (year). </SPAN></P><P><SPAN>Available as open data and free to use under the Open Government Licence (OGL): </SPAN><A href="https://www.nationalarchives.gov.uk:443/doc/open-government-licence/version/3/" STYLE="text-decoration:underline;"><SPAN>https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/</SPAN></A></P></DIV></DIV></DIV> This dataset contains baseline loch water bodies which were created for the purposes of the Water Framework Directive (2000/60/EC) . The dataset is made up of the following categories of features: Baseline Lochs - lochs with a surface area greater than or equal to 0.5 km². The dataset includes the overall classification values from the most recent year, usually the previous year. GEMET - INSPIRE themes, version 1.0 2008-06-01T00:00:00 http://www.eionet.europa.eu/gemet/inspire_themes Area management/restriction/regulation zones and reporting units GEMET - INSPIRE themes, version 1.0 2008-06-01T00:00:00 http://www.eionet.europa.eu/gemet/inspire_themes Hydrography 50000 Scottish Environment Protection Agency Angus Smith Building, Unit 6, 4 Parklands Avenue, Eurocentral Holytown ML1 4WQ foi@sepa.org.uk GB North Lanarkshire 03000 99 66 99 9am - 5pm Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency Scottish Environment Protection Agency COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08T00:00:00 Domain consistent. 1 COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08T00:00:00 withheld Dataset complete. 1 NGRs provided for approximate upstream point of a small loch waterbody. The loch polygons were selected and given a unique waterbody id. The original Ordnance Survey Panorama data was collected between 1970 and 1980. This product has not been updated since this date. The OS withdrew the product on 31st March 2017. 0 EPSG 6.3(3.0.1) WFD Classification - Loch Water Bodies Feature Class 0 polyline ESRI Shape shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. CATEGORY Category String 20 0 0 Type of line: river, canal, small river, loch centreline. SEPA Type of line: river, canal, small river, loch centreline. WATER_BODY_ID Water Body Id Integer 4 10 0 Unique water body identifier. SEPA Unique water body identifier. OBJECTID objectid OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. EXPIRY_DATE Expiry Date String 8000 0 0 Date on which waterbody was expired. SEPA Date on which waterbody was expired. WATER_BODY_NAME Water Body Name String 8000 0 0 Water Body Name SEPA Water Body Name AREA_SQ_KM Area (km²) Double 8 38 8 Surface area of the loch water body in km². SEPA Surface area of the loch water body in km². RBD_CODE RBD Code Integer 4 10 0 Numeric code for the River Basin District SEPA Numeric code for the River Basin District RIVER_BASIN_DISTRICT River Basin District String 8000 0 0 River Basin District name SEPA River Basin District name SBD_CODE SBD Code Integer 4 10 0 sub basin district numeric code SEPA sub basin district numeric code SUB_BASIN_DISTRICT Sub Basin District String 8000 0 0 The name of the sub basin district or Advisory Group, in which the river water body lies. SEPA The name of the sub basin district or Advisory Group, in which the river water body lies. HEAVILY_MODIFIED Heavily Modified String 8000 0 0 Indicates if the shape of the waterbody has been heavily modified (Y = yes, N = no) by human activities. SEPA Indicates if the shape of the waterbody has been heavily modified (Y = yes, N = no) by human activities. ARTIFICIAL Artificial String 8000 0 0 Indicates if the waterbody has been created by human activities (Y = yes, N = no). SEPA Indicates if the waterbody has been created by human activities (Y = yes, N = no). GENRE Genre String 8000 0 0 Type of waterbody, e.g. surface water, heavily modified water body. SEPA Type of waterbody, e.g. surface water, heavily modified water body. HMAWB_REASON HMWB / AWB Reason String 8000 0 0 Reason for HMWB designation (if HMWB = Y). SEPA Reason for HMWB designation (if HMWB = Y). EASTING Easting Integer 4 10 0 Easting for the centre point of river water body. SEPA Easting for the centre point of river water body. NORTHING Northing Integer 4 10 0 Northing for the centre point of river water body. SEPA Northing for the centre point of river water body. REPORTING_LATITUDE Reporting Latitude Double 8 38 8 Northing converted to Latitude SEPA Northing converted to Latitude REPORTING_LONGITUDE Reporting Longitude Double 8 38 8 Easting converted to Latitude SEPA Easting converted to Latitude CATCHMENT_ID Catchment Id Integer 4 10 0 SEPA identifier for main river or coastal catchment in which the river water body lies. SEPA SEPA identifier for main river or coastal catchment in which the river water body lies. CATCHMENT Catchment String 8000 0 0 SEPA catchment name for the main river or coastal catchment in which the river water body lies. SEPA SEPA catchment name for the main river or coastal catchment in which the river water body lies. TEAM Team String 8000 0 0 SEPA team name SEPA SEPA team name LESS_THAN_GOOD Less Than Good String 8000 0 0 Y = Classification is less than good status N = Classification high or good SEPA Y = Classification is less than good status N = Classification high or good CLASSIFICATION_YEAR Classification Year Integer 4 10 0 Classification Year SEPA Classification Year CURRENT_YEAR Current Year String 8000 0 0 Flag to indicate if the CLASSIFICATION_YEAR is the current year (Y or N). SEPA Flag to indicate if the CLASSIFICATION_YEAR is the current year (Y or N). CLASS_DS_URL Class Ds Url String 8000 0 0 URL to the public facing Water Classification Hub. SEPA URL to the public facing Water Classification Hub. CERTAINTY Certainty Double 8 38 8 Percentage probability that this class represents the true class of the waterbody SEPA Percentage probability that this class represents the true class of the waterbody CERTAINTY_BAND Certainty Band String 8000 0 0 Classification certainty categorised as high, med, low SEPA Classification certainty categorised as high, med, low OVERALL_CLASSIFICATION Overall Classification String 8000 0 0 Overall classification status of the river water body as required by the Water Framework Directive. SEPA Overall classification status of the river water body as required by the Water Framework Directive. ASSOCIATED_GROUNDWATER_ID Associated Groundwater Id Integer 4 10 0 WB ID of associated groundwater body SEPA WB ID of associated groundwater body ASSOCIATED_GROUNDWATER Associated Groundwater String 8000 0 0 Associated Groundwater body name SEPA Associated Groundwater body name WISE_CODE Wise Code String 8000 0 0 Unique European code for the river water body for use by the Water Information System for Europe (WISE). SEPA Unique European code for the river water body for use by the Water Information System for Europe (WISE). ECO_REGION Eco Region Integer 4 10 0 Rivers, lochs, groundwaters in Great Britain = 18 Coastal and Transitional - Atlantic = 1, North Sea = 4 SEPA Rivers, lochs, groundwaters in Great Britain = 18 Coastal and Transitional - Atlantic = 1, North Sea = 4 DATA_SOURCE Data Source String 8000 0 0 Source of data, SEPA or EA SEPA Source of data, SEPA or EA ALTITUDE_TYPOLOGY Altitude Typology String 8000 0 0 The altitude typology category for the waterbody: lowland (0 to < 200m) mid-altitude (200 to 800m) high-altitude (> 800m) WFD The altitude typology category for the waterbody: lowland (0 to < 200m) mid-altitude (200 to 800m) high-altitude (> 800m) SIZE_TYPOLOGY Size Typology String 8000 0 0 Loch surface area size typology category for the waterbody; can have following values: Very Small: <= 0.1 km2 Small: >0.1 to <= 0.5 km2 Large: >0.5 to <= 100 km2 WFD Loch surface area size typology category for the waterbody; can have following values: Very Small: <= 0.1 km2 Small: >0.1 to <= 0.5 km2 Large: >0.5 to <= 100 km2 Note: The categories above are different from the System A Size Typology on page 24 of the WFD directive: https://eur-lex.europa.eu/resource.html?uri=cellar:5c835afb-2ec6-4577-bdf8-756d3d694eeb.0004.02/DOC_1&format=PDF GEOLOGY_TYPOLOGY Geology Typology String 8000 0 0 The geological typology category for the waterbody, which can have one of three values: Siliceous Calcareous Organic SEPA The geological typology category for the waterbody, which can have one of three values: Siliceous Calcareous Organic MEAN_DEPTH_TYPOLOGY Mean Depth Typology String 8000 0 0 The mean depth typology category, very shallow, shallow, deep SEPA The mean depth typology category, very shallow, shallow, deep WB_ID Water Body ID String 48 0 0 Unique water body identifier (text). SEPA Unique water body identifier (text). st_area(shape) Area (m²) Double 0 0 0 Area (m²) PostGIS Area (m²) st_perimeter(shape) Perimeter (m) Double 0 0 0 Perimeter (m) PostGIS Perimeter (m) Simple FALSE 0 TRUE FALSE /9j/4AAQSkZJRgABAQEAYABgAAD/4QL6RXhpZgAATU0AKgAAAAgABAE7AAIAAAAQAAABSodpAAQA AAABAAABWpydAAEAAAAgAAAC0uocAAcAAAEMAAAAPgAAAAAc6gAAAAEAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAASGFicm9uLCBEb21pbmljAAAFkAMAAgAAABQAAAKokAQAAgAAABQA AAK8kpEAAgAAAAM5OAAAkpIAAgAAAAM5OAAA6hwABwAAAQwAAAGcAAAAABzqAAAAAQAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAyMDI0OjA1OjEzIDE3OjE5OjA5ADIwMjQ6MDU6MTMg MTc6MTk6MDkAAABIAGEAYgByAG8AbgAsACAARABvAG0AaQBuAGkAYwAAAP/hAq5odHRwOi8vbnMu YWRvYmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6 cmVTek5UY3prYzlkJz8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIj48cmRm OlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1u cyMiPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1h ZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAv Ij48eG1wOkNyZWF0ZURhdGU+MjAyNC0wNS0xM1QxNzoxOTowOS45ODM8L3htcDpDcmVhdGVEYXRl PjwvcmRmOkRlc2NyaXB0aW9uPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjVi ZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9y Zy9kYy9lbGVtZW50cy8xLjEvIj48ZGM6Y3JlYXRvcj48cmRmOlNlcSB4bWxuczpyZGY9Imh0dHA6 Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6bGk+SGFicm9uLCBE b21pbmljPC9yZGY6bGk+PC9yZGY6U2VxPg0KCQkJPC9kYzpjcmVhdG9yPjwvcmRmOkRlc2NyaXB0 aW9uPjwvcmRmOlJERj48L3g6eG1wbWV0YT4NCjw/eHBhY2tldCBlbmQ9J3cnPz7/2wBDAAMCAgMC AgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsKCwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIU FRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQU FBQUFBQUFBQUFBQUFBT/wAARCAJCA0sDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAEC AwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0Kx wRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1 dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ 2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QA tREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYk NOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaH iImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq 8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA oopM0ALRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAxhk5qPadob0FVNaubq10 u7lsYVmu0iZoo2/ibFeCWv7QHiRPGD6NNbabPH/z0Eckb/6vd3b/AIDXHWxVLD/H2b+S3MKlWFP4 vX7j6Kpa5/wr4ss/FVi01sxWWJ/LmhkH7yJsZ2t74rfrenUjVhGcNmaxlGceaI+ikpa1KCikpaAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigCMjkV4x4m+Axu/GV54o07UNs8jNN9gki+V5GXax8zPy/ 9817TTcjkAVzVqVOvTlRqbS0MqlONWEqcup8bLqGpWHxQntEuL6wVn/ewRTNC25YP9mujsvix4ts vHi6THrDy2Y6RXUSyf8ALPd9773/AI9X0hrHh3S9ejVdQ06C82j928ifNH/ut1X8K8M8efBuTwx4 qtvEunTSXGlZ23EchzJB+7ZVbd/Ev3a+bxOExGBpyqYefuwpWUfNbM8atQq4dSqUZe7GFrea6noX gH4tW/ijXLzQby3Fnq1ugkHltuimXaDlf7v3uhr0bj17V8Wfd+LH3mVgOGVtrL+4rpv+Fm+K/wDh Pl0v+3rr7GOi7Iv+ee7+7V4XOIKlGOI+L2SqS/UujmMeSMavxcnOfVw/WlPzV4V4d/aBe18VJ4f1 u1RowOdSjO3b+73bmj/+Jr3IN8pNfQYevDEQjUp7SV/vPWp1Y1oRnHqS0tJS11GoUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUlLRQAlVryzgv7Sa2niWWGaNo3jb+JWGGFWqSlvuB82eMPgvqeg+OI9d01Zt S0tl/eBV3TQ/u2XbtX5mX7vK152p3/FjHbp/5Br7TfGM18+/F/wRLp/xM0rxFbQINPuo2imeNdu2 by2+9/vL/Kvk81y6lTpVsZT/AOfThbpbc8PG4SEYVK8f5Gjy9l3fFja3zL/9z17j8Nvi5bXGtf8A CHakfKu7eNUtbtm+Wddq7Vb/AGv/AEKvDf8AmrP+f+famyL5vxYZfmX/AGl/h/0evDwOMlhMRTcv hjh0/uPKwuIlRqRf2Y0k/uPtUKODmn1558OfiNb+J5rnSLlwms6eF3oT/rY9qnzF/wC+hmvQR1Nf oFGrCvSjWp7S1PrKdSNWEakepJRRRXSahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA3+GsLxhpNp rehT297KIIRiTzy23ymU7lb8K3qzta0m11/S7jT7yPzbecbWT9azqR54SiRKPNHlPnPXPAOkaHq6 a0vie21TVriVY7a1tVXay7dsjN8zf8s93/Aq4X/mrP8An/n2q3e6HqGg/F7yL63kiZWZVk8vasqr Dt8xf9lqqf8ANWP8/wDPtX5vj48uKqQta2Henby+R8livdrSjy8v7lj4pJIfi8skUkkEituWSNtr K3k19RfD/wAbW3iuze3eZf7Ws1VbuH7vzbf9Yv8AstXy1/zVn/P/AD7VseF/E1x4V+NYuYSxhlCx XMa94/KVm/8AQd3/AAGu7KcZKnXo0ZS/d+xUvuOnA15U6tOlKXu+yUj7AoqtY3sOoWkV1byLNDKu 5JF6MKleVYl3Oyqv95q+9urXPpr9SSikyDz2paYwooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopKAOF+ JXgdvFken3Nsy/2jp8kkkKu2FdWXayn/AMdr59uPBOv2njS416fSLyDSoG2PNKm3H7jb/wB87v4v u19cdeelLtVlA615GKyyjiqkq0vilBw+TPPrYOnWlKcvikuX5Hybp+j+HZPFEup3/iJodTkbbb6f ZWkkzL+5+9JuVf4a5uJmb4rKzfe/3dv/ACxr1z4kfB46Z4p/4S7SxBb2Ece65tV3Kwbbt3Kv3f4v u15IMr8WOTk//c1fK4+msNKph4w92OHfvenQ8bFR9hKVGMfhpP3v0O30H4r6r4d1q/8ADFpHGIZ5 PNhuG+9b/u90ny/xf8CrkLq9uL74qeTeXE15EzbmWeTcrN5O77v+9UGf+Lsf5/59qP8AmrH+f+fa uBYqtyex5vd+rc3z7nH7apyez5vd9jzHc+B/inqPhT4kS6LcPJc6FcMqmJm3fZf3at5i/wDxNfSd neQajax3FtKlxBIMpJG25WFfF0ETR/FNVdvMdf4v737mul0Hx/rHhf4pLaW+oSLpbTR/aLVj+6Ef lqzf7v8AF81fR5dj3GdHBy1XslPm/A9fB4zllTw8/wCRO59cUUisCoI6UV9ae8LRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFACUUtFAFC+sYdQtZbS4iWWCVNrow4NeHeLvgW+k+IovEWjzT3aKT9os5m3OFMe3 cjfxH/er3z73fiud8daXLrHhfULaCRkk2eYqq23zNvzbG/2WxtrgxlCFejUjKO8WvvOXEUo1KclJ dLHyXBOtx8VlkT7rf/Gaey7viwyhtn+1/wBu1MikW4+KyyL91l3L/wCA9O/5q1/n/n2r85qctOrL l922GPkp6T93/nydtd/EW1ur1fCUHhrTrJvKUNfoA0it5e7zF+Vfm+X/AParimXd8WNrfMv/ANz0 mf8Ai7Gf8/8AHtR/zVj/AD/z7VdSvUrScp9cM39451pVJc0v+fNz0nwz8b9W0Dxevhy5gXUtNUqk cjNtmjXy933v4v8AgX/fVe8aDrNr4i02O8s33W78fMMMD3DD1r4+/wCas/5/59q98+CPiJbi78S6 KzHzLW4juEz/AHJI1/8AZl/8er6DKcwq1KtHDS+1SU/nsetgcZOU6dCX8ikeuUUUV9kfQBRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFACVFcRLcW8kTZ2urKcVNRQB8jeJPh/qngv4oWstxDu0243La3cf3WVYd u1v7rfL92sD/AJqx/n/n2r658W+Hx4k0G708kLJIu6GQ/wAEi/Mrfg2K+TbyxudN+LzRXdu1tMN3 yt/Fth2/L/eX5a+CzXBSpVq2Ij8HsZx+4+Yx2FlTqVKsfh9m0Qf81a/z/wA+1H/NWv8AP/PtR/zV r/P/AD7Uf81a/wA/8+1eD/8AMh5H/wApD/mrH+f+fauw+Gfib/hH/jpJA/EGoxraN838TRqy/wDj y/8Aj1cf0+LH+f8An2ps6s3xUbym2y/ejb+63k/LXfl9WNDF0asumHT/ABOzC1I0cRTqS+zRR9s0 tZug6outaHp9+i7FureOcL6blDYrRr9LTurn2K1VxaKKKYwooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBl cx4x8D2Pi+GF5VEV9bndb3aruaM/+zL/ALNdRxScVjUpxqxlTqbMmUYzXLI+ONY0e40L40yWd1u3 KzeXI0e3zF8narf+O1R/5q1/n/n2rrvHun+KYvipBqviK18uz+aC3u4lXyFXa21d3+838XzVyP8A zVr/AD/z7V+e5lQVHF1o048sY4d/mfJ4ymqdepGPw+yYf81a/wA/8+1H/NWv8/8APtR/zVr/AD/z 7Uf81a/z/wA+1eb1v/1CHB5/9OT0bw18btR8OeJLfwvLYW97psCiNJUJWfaI9397b/6DXd6f+0B4 eute/sa6trywuc8SzKpiX5d3zMrHb8tfP3/NWcf5/wCPaj/mrP8An/n2r2sPm9ehGMZe9y0ef5nr UsfVpqMZf8+uf5n2hHKksauhDKy5UjvU9eLfDH4p6bZ3114V1S5W0uLeRTZPJ8qyRsqt5e71Vmb/ AIDivZt3ccivtMLiI4qhTrL7UU/vPoKNWNanGpHqSUUlFdhuLRRRQAUUUUAFFFFABRRRQAUUUmaA FooooAKKKKACikpaACiikyPWgBaKx38UaNFqaac2rWS6hIdq2n2hfNZv93O6tfNAC0UUUAFFJRQA tFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRSVmal4g0vR5Yob7UrOylk /wBWlzcLGzf7u7rQBqUVBJeQxQ+c8saxf89C3y0sM0dxGHjdZI2+6ytuBpXQrk1FFJketMYtFJS0 AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAMbqM1z/AIx8SjwvorXnk+e7MIo1/h3N03f7NdA3 UZrG8TeH4PE2ky2MzMitgiRfvIwO4N+Yrmre09lL2fxdDKpzckvZ/EeZ+HfjxaS6lqGj+IAsV/Ey +T9lgdkuFZN2NvzYrw4sG+L00iRfZ45JZJFh3btitFu2/wDAfu1ta94Q1fwv8VLZ9TtfLiut3kzR tujl2wbW21jf81Y/z/z7V8PjMZiOSphK/wAX1dyl67HzeIxFW0sPU/59Nv1D/mrX+f8An2o/5q1/ n/n2o/5q1/n/AJ9qP+atf5/59q8X/wCZDy//AJSH/NWv8/8APtR/zVr/AD/z7Uf81a/z/wA+1H/N Wv8AP/PtR/8AMgf/ACkVl3fFja3zL/8Ac9er/DX4sQ6L4nvPCuqy+XafKbCZl+WL5NzRs38K/wB3 +7Xk/T4sf5/59qN3/F2M/wCf+Pau3B4qWErU638uGUuX0OvD1pUakZ/y0eY+0Y3VvnU7gelOx05r 5r8KfGPU/CviqTw59mjvdOyrQKzbWhXy9zKrf+y19A6Dr1n4i09Lu0lDr0dT96Nv7rL/AAmvvMJj qWLpxlH4pRUreTPpsPiKdaMbbtc33mvS01WDLkHIpa9I7BaKKKACiiigAooqKSZYozJIyqiruZm7 UALuO7GKWuMk+LnhGK5a1/tyCS4Uf6uENIW/3dq/N/wGqDfHXwgt+LH7ZP8AbP8Anl9kl3fd3f3a 55VoR3l5/Iz9pCP2j0TgUda4uH4teEppBGdbt45/+eMqtHJ/3yy7qbdfF7wla3C2/wDbUM9w33Yb ZWmZvl3fwqe1V7Wnbm5h+0jy81zst2GIx2pd/wCWK4VfjR4ReQwHU2W6x/x7m2mEn/fO2sXVPj3o cN4ml6Ws15qUiNt8yJo44zt3Lu3fN+lZTxVGnHmlL7PN8u5lKtThHmlLz+R6TfalbaZayXN5NHbQ x/ekkbao/OsGP4neFCxT+3rJZV/5ZtKA3/fNfMV/ruqap8UvKvtQuLuIHcI5ZPlVvJ3fKv3V+9VH /mrP+f8An2r52rnkYzkqcfd9l7T/AIB5dTM7S9yPu8nOe7XX7Q2lw+KptFttOurllX91cxsoWRtu 5uG+6v8AtVwvin4xar4o8Xw+HkgXTdNVt0qxzM0kn7vcu5v/AGWuD/5qz/n/AJ9qP+asY/z/AMe1 ebiM3r11KEfdjLD8/wAzhrZhVqRlFfapc3zGJDEvxUVEXykU718v5dv7n+GvRpvjfr8mrx+GVaOM qNsmoqv75l8vd/uq3+1Xnn/NWMdv/uaj/mrGO3/3NXBTxmIpx5Yy/wCYbm/7e7nPHEVY7S/5c83z PavAfxi0fSc+GNWe4hurVmMdxtaZZlb95/D8ysu7H/Aa9fs72DUrVLi2ljuYJBlZI23K1fG2f+Ls cf5/0atLRfEmp+Hvi1ONNu2tvOXbJFt3RSfud3zLXu4POeX2dPEf8+VNy/M9LD4/l5adX+RTufYO 0/hijad3tXiGmftFyR+Kv7F1PR92Bxc2cm7+Hd91v/iq9b0bXrPX7NLyznWeA5BK/Ltb+6wPIPtX 01HE0cQouEviXN8mezTrU6vwy8zZopKWus3CikpaACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAbWR4g8O2PiSxNtfxLIvVX/iRv7yt/Ca1/pSEZHFRKKkuWQaS0Z89678AdS0vxBFq2mXk eqWMe5msGXy5F+Xb8o+63/jtcd4Z8eax4S+JV3Y2EoFjL8r2U6t5assW77v8Lblr6zRRtHOa4jxV 8KdC8S6ouq+T9i1leReQ9W+Xb8w/i+XivGxGBalLEYaVqnI4R7eR5tTDcspVqXxctl+ha0D4kaHr Vq5e/gsruAD7Ra3Eqq8R49eo/wBqumjkiul8yN1kjIxlGzXy34g+GPiLw744/tq+so5NLzhrqCTd Gv7vb838S/N/s1Q0Pxlrfhn4jXmn6VftaWd0ytJD5atHu8ndu2t91q5oZrKjP2WKhaUafPL9UZRx sqclTrR2hzP9T652n7x9Kdj+VfP9j+0VqVj4km0fU9MtrxUG9bmCRodq+V5nzKd1eh+A/ivaeNtc 1LRxZT2l9ZDzH3HdGy/L/EP4vm+7XsUcVRxMYunLePN8md9OtTqcvL9rU9BopKWu06AooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAoopKAFooooAKKKhmZo4XZE8xlX5Vz96gDwz413Wu/8JzoEEyxr4dbzGgaP7zTeU27 d/7LXkH/ADVn/P8Az7V13jL4kaj4v+JFpplzbrY2enySbbf7zrJ5Pzbm/wB7dXI/81a/z/z7V+c5 tLmx+Il/1Dv8z5HHe9i6n/Xp/mH/ADVr/P8Az7Uf81a/z/z7Uf8ANWv8/wDPtR/zVr/P/PtXlf8A zIcH/wApD/mrX+f+faj/AJq1/n/n2o/5q1/n/n2o/wCatf5/59qP/mQP/lIf81a/z/z7Uf8ANWv8 /wDPtR/zVr/P/PtR/wA1a/z/AM+1H/zIH/ykP+atf5/59qWVVuPio0Lr5kTfeVvut+5pP+atf5/5 9qP+atf5/wCfaiMpQfNH/oGL+H/wSaul+LNZ0T4kjTtP1W6sdP3bvskcn7v/AFO7/V/d+9Xsnw1+ LF1rnifVNA1ZovMtYVuIbz5U3L8u5WXs3zV4N/zVr/P/AD7U11WT4sbXVWT+63/XGvWwmZVcPOHP LmisOp8vmjuw+MqUZR5vhjS5j7Nt9QtrtT5FzDMf+mcgap8/Njtivi2NfL+K+I90SL86+W23b+5/ 2a9N8M/HTVdI8Y/8I/qcf9p6f8u24H+vjXy93P8Af/8AQq+mw2bUa8405+65QU/Kx69HHwqyUZe7 7vP8j6JozXO3Xjzw9YC1a41e0h+1LuiLSD5127v61j+Kfitovhy4srSKT+07y83eTHaMrrhfvFm+ 6tevOtTpxc5S0R6MqkYx5mzsLy8isLaSe5ljt4I13PJI21VH1rxL4nfFSy1jVNL8O6PeC5hlaR7/ AMtWHyqm6Nd36t9K4nxR8SNb8X/EW2029kjg023kaSOzh+6reTu3M38Tf52rXLf81Z/z/wA+1fK5 jmsaka2Hpbexc1L8jwsZjuZVKNP+RyuH/NWv8/8APtR/zVr/AD/z7Uf81a/z/wA+1H/NWv8AP/Pt Xy92/wDwkPDu/wDyiH/NWv8AP/PtR/zVr/P/AD7Uf81a/wA/8+1H/NWv8/8APtRd/wDloF3/AOUQ /wCatf5/59qP+atf5/59qP8AmrX+f+faj/mrX+f+fai7/wDLQP8A5SH/ADVr/P8Az7Uf81a/z/z7 Uf8ANWv8/wDPtR/zVr/P/PtS/wDmQP8A5SH/ADVr/P8Az7Uf81a/z/z7Uf8ANWv8/wDPtR/zVr/P /PtR/wDMgf8AykP+atf5/wCfaj/mrX+f+faj/mrX+f8An2o/5q1/n/n2o/8AmQP/AJSH/NWv8/8A PtR/zVr/AD/z7Uf81a/z/wA+1H/NWv8AP/PtR/8AMgf/ACkP+atf5/59q0dM8SatofxQuINNv5rK O5CiVF2srbYd33W+Ws7/AJq1/n/n2o/5q1/n/n2q6dWdCcalL4o4Y2pzlSlzR/58nuXh79oGzbXW 0PXLZoLxfu3VsjNE/wAu7lfvL/49Xq+n6pZ6xZrcWV1FdW7dJIXVl/MV8bf81Y/z/wA+1WbPVr3T fiw/2S9uLQyj5zE+3d+53f8AAq+lwudyjywrx/5cqq3+Z61HMHHljU/k5z7J27Rn2pw659q8S8N/ H5bfxA+g67aySzpt8u8tYz83y7vmX/4n/vmvXNI1yy160+0WNzHcx92jbOD6H0r6ihiqOJjGUJfE ub5M9mlWp1oxlHrqatFJRXWdAtFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAlFLRQBXl jEqFHAZWBUq3evm7x98KZvC3jy11+zCnRbh/L27vmt28pl2/7vy/L/3zX0qx5P4VnappMGs6ZPYX SB4JhtOfrkH655rhxmH+tYepS/mi195y4il7alKn/Mmj48/5q1/n/n2rqfh34sk8KfGr7LHtSx1J o7SUbf8Apmu3/d+asnXPDd74Z+MywXybfMVpIZf+e0flsqt/47WVIjN8WPk+WVfmVv8Aa8n5a+Jw 3Nl2YRVX7GH1+TPnqPNhcTFVPs0vyZ9r0vGKxvDfiCDxJpMN7BlVcbWRhyjD7yn3rZ7V+gQlGcVK J9TGSnHmiOooorQoKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkozWbrWuWXh+x+13862tvu Vd5Vm+Y9vlpaRQGlxR0riG+MXhBLj7ONYjNx/wA8RFJu/wC+dtaHh/4gaH4ou57PTr9Zby3G6S3k Ro5FX+9tbBxWUalOT5YyI5483Lc6iikpa2LCikpaACiiigAopKKAFooooAKKKKACiikoAT+dNbHS mtJ5a7m+Ue9fP3iL4+anqXjT+wtHjjs9P+ZTduu+ST93u3L/AArXJiMRDDwlOp9lN/cZVK0aMZTl 0PoTtzxTRtLEg5r5Vu/ih4rvvGS6BcazcNp38XlhYZG/c7v9ZGqtTfBfivWdO+N1pbQ3F5e280iw yW0tw0itG0a7m+b+797/AIDXBh81o4mvGhD7UOf5HJTxtOpVjTj9pc3yPrClpAQQMUte0egFJS0U AedeNPhHpniXU4tXtVTTtYh3YuEj+WXcNuJF/i/3q563/Z9s0uptWm1OZ9cZf3bRqFgRtu37vzMR jj71exdM55oXGBjivPqYKhVnKrUjeUly/Lsc08PSqVPaSj71rfI+LZIpYfi80M0bQzRsyyRt/Cyw 03/mrGP8/wDHtXp/xV8A6nD8UoPFENrJc6ZcRYnkgUyNCywlfmVf4fu/NXLaT8N/E2t+PH1i00ib +zk6T3P7lT+52/Lu+Zvmr43FZfUWLqUaMfd+ruEfv2PncRhZRxEqdOPu+z5Tmf8AmrX+f+faj/mr X+f+favSdc+Cd/oeoxeKWvYrhoxvurRI8LGvl7dyt/F/3ytebf8ANWv8/wDPtXnVsPUw0pU6kfhw zXzW5yVKM6cuWX/PkP8AmrX+f+faj/mrX+f+faj/AJq1/n/n2o/5q1/n/n2rn/8AmQw/+Uh/zVr/ AD/z7Uf81a/z/wA+1H/NWv8AP/PtR/zVr/P/AD7Uf/Mgf/KQ/wCatf5/59qP+atf5/59qP8AmrX+ f+faj/mrX+f+faj/AOZA/wDlIf8ANWv8/wDPtR/zVr/P/PtR/wA1a/z/AM+1H/NWv8/8+1H/AMyB /wDKQ+78Wvl/z+5pVXb8Wvl/z/o9J/zVr/P/AD7Uf81a/wA/8+1O7/8ALQLv/wAoh/zVr/P/AD7U f81a/wA/8+1H/NWv8/8APtR/zVr/AD/z7Uv/AJkD/wCUh/zVr/P/AD7Uf81a/wA/8+1H/NWv8/8A PtR/zVr/AD/z7Uf/ADIH/wApD/mrX+f+faj/AJq1/n/n2o/5q1/n/n2o/wCatf5/59qP/mQP/lIf 81a/z/z7Uf8ANWv8/wDPtR/zVr/P/PtR/wA1a/z/AM+1H/zIH/ykP+atf5/59qP+atf5/wCfaj/m rX+f+faj/mrX+f8An2o/+ZA/+Uh/zVr/AD/z7Uf81a/z/wA+1H/NWv8AP/PtR/zVr/P/AD7Uf/Mg f/KQ/wCatf5/59qP+atf5/59qP8AmrX+f+faj/mrX+f+faj/AOZA/wDlIf8ANWv8/wDPtR/zVr/P /PtR/wA1a/z/AM+1H/NWv8/8+1H/AMyB/wDKQ/5q1/n/AJ9qP+atf5/59qP+atf5/wCfaj/mrX+f +faj/wCZA/8AlIf81a/z/wA+1H/NWv8AP/PtR/zVr/P/AD7Uf81a/wA/8+1H/wAyB/8AKQ/5q1/n /n2q3p+r3+k/Fp/sV3Lal/viNvvfud3zL/FVT/mrX+f+faj/AJq1/n/n2q6dWVKcalP4o4YuM5Up c0P+fJ6jH+0Jry+KV0NtPsHZes48xc/u9396vV/A/je38aQXihFtr+xdY7m2Vt23cu5Wz/db/wBl r5X/AOasY/z/AMe1em/BXXY7H4teINLlba19bxtHz95o0Vtv/fLN/wB819NluYV6+Lo0aj92VFT+ dz2cHjKtSvTpz+1BP5n0VS0lFfZH0ItFJS0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSU tI3Q0AfNHxS8dReJvixpuk20a+TpXnRtNj5nkaJt3/AVrz//AJq1/n/n2oFnLp/xba0nLGaBmhkL Lt3MsO3dR/zVr/P/AD7V+b5pKUsbWlL/AKB3+Z8jjJc2KqSl/wA+mepfCHx4+m/ErUPC0se62vys 8Mm7/VyLAv8A6Eq19BKwavjC1uprH4yR3FvJ5c8bK0bbd3zeTX1z4Z1ka94fsNRZBG1zAsrIOzEf MK+pyavCeFpUftKEH96/4B7OX1I+wp0/tcqNqiiivfPVCiiigAooooAKKKKACiiigAooooAKKKKA CiikoAY3evOPjVdeTpej2wPNxqH/AI6sMjf+hba9H6/lXOeL/CFh4ut7eK8M0clrJ5sEsLbWRtpX vx0auDHUZYjDVKNPeSa/A5cVTlWoTpx6o+Thn/hbHP8An/RqD/yVnKsyj+8rbWX9zXtmrfs8wR6t FrWlancS6gg/eR3+3bN8u37yqu3/AL5ryPVfDup6B8W4F1GxktBMrNGzfMsn7nb8rfxV8PiMFisG 5VPsxw9r/wB5HzlTDVsPzS/lpWv5o2NG+JniXRfiQ1jBqs93ZMu0W9/I0yj91u/ibd96vStJ/aGs W15tH1TTLm3ul+7Lat50bfLu9Fb7voGrw3/mrP8An/n2o/5qxj/P/HtWmHzXE0eWLlzRjh+f/t4d PHVqXL9r91zfM+nIfjJ4PuL82f8AbKQ3eMmOaGSMjjP8S10lx4m0qxt45rjU7OCKRdySSzqqsPUE 18f8/wDC2f8AP/PtQqlfivtX5R/d/wC2NelHPZcvvU/+XXtP+Ad0czly+9H7HP8A8A+qpvin4Thb yxr1m83/ADzjfzG/75Wq0vxi8JRyeSNWEtzt3LbxxSNK3/AdtfL3P/C2f8/8+1H/ADVn/P8Az7VM s9qfZp/8ufa/8Aj+05fy/Y5z6CtP2gvD82sT6XPaX1pex/dV41ff8u7+Fj/DUcP7Q+gnxB/ZD6fq ST4/1jRxt/Du6K392vAf+as/5/59qP8AmrH+f+fasv7cr/yr+D7T5/5Gf9pVf5f+XXP8z6V1L4z+ GrXZDBd/btQkJWOzhUrJ03fNu27eP8mn6b8ZvDd8t2txcSadPatGssFyvzbpPuhdu7d/wGvmbk/F fjr/APc1HI+LHv8A/c1H9t1fac3L7vsfafMr+06nN8Pu+z5z6/tfFWj30W631axnX1S4Vv61cj1S 0lj3JdwMP9mRSK+NWUS/Fba67h/db/rjTWhjf4p+S0atH/zz2/L/AKmuuOfR+1D/AJde1/4Bv/ak f5fsc/8AwD7Mk1S0hj3PdwKP9qRawtQ+I3h7ToJG/tiyuZlB229vOryO2PuqoOa+UFijX4qeSsa+ X/zz2/L/AKmnKu34tfL/AJ/0apnnvu+7D/l17T/gEyzP+WP2Of8A4B0fiL4gat4q+IVjYX83lQW8 bK9vbuywtuj3cr/F/d/4DXOf81a/z/z7Uf8ANWv8/wDPtR/zVr/P/PtXzlfEVMTUlUqS+LDc33nj VKsqspSl/wA+Q/5q1/n/AJ9qfvZfi021mi3Lt3K23/l3pn/NWv8AP/PtR/zVr/P/AD7VzRlKEuaP /QMRGUoy5o/8+T6I+EnjRdYF14eeGU3ekRorXGP3ckbfc/4Ft4/4DXpv3vzrxn4GatG3iDxXpf2c rIskNx9oVfvL5artZv8AP8VeyrX6PldSVbBUalTdxX5H12DlKphqcpdkSUUUV6h2BRRRQAlGAB04 paSgCC4to7qGSKRQ0bqVK+orwK9/Z71DTdbk1y31OO/aLb5dp5O1pF8vy/vbtu7/ANC/2a+gWblR 60xPlVR65NcmIwtPEQlGf2k4/J7nPWo060XGXp958XEf8XY+6yt91lddrL+5pP8AmrGP8/8AHtX1 V4k+HOg+JLmO9u7Ly9Si+5e252y/d28t/Fxx81eean+z1Haas+u6fqtxd3sYylvcqq7/AJdu3cu3 +H/Zr5LEZPVhKUqPvR9i6a73PCrZdOLlKn8PsuQ8Z/5q1/n/AJ9qP+atf5/59qlmt57f4t4nt5re T+7NHtb/AFNR/wDNWv8AP/PGvn6lGdKUoyXvfVjy5QlCXLL/AJ8if81a/wA/8+1H/NWv8/8APtR/ zVr/AD/z7Uf81a/z/wA+1R/8yGf/AMpD/mrX+f8An2o/5q1/n/n2o/5q1/n/AJ9qP+atf5/59qP/ AJkD/wCUh/zVr/P/AD7Uf81a/wA/8+1H/NWv8/8APtR/zVr/AD/z7Uf/ADIH/wApD/mrX+f+faj/ AJq1/n/n2o/5q1/n/n2o/wCatf5/59qP/mQP/lIf81a/z/z7Uf8ANWv8/wDPtR/zVr/P/PtR/wA1 Z/z/AM+1H/zIH/ykM/8AF2M9v/uak6/Fjj/P+jUqqw+LAUKz8Y+Vd3/LCu20j4N+KNZ8bf22lpHZ WGF2veN5bN+72/6v73/fW2uqjg6+I5fZx+LDcvzfQ6aeHqVOXlj8VHl+ZxP/ADVn/P8Az7UMyxfF cMzbV/vN/wBca930r9nzS4tYfWdVv7i7v22/Jb/uY1+Tb2+b8mFdtp3w78NaPIZoNFtWuQP9fNH5 sp/4G2W/Wvao5JVlyyqS5f3PsvmejTy2cuXml9jkPleO1muPiV/aEcMktju2/aVX91u8nb977tRc /wDC2P8AP/PtX2bdWEN/ZvbXMMc0DrteJ1yprmJ/hT4UkkaQaFaxysP9ZCDGy/7rL938K3qZF/LU /wCXXsv+Cayyv+WX2OT/AIJ8s/8ANWf8/wDPtR/zVn/P/PtX0z/wp3wttd104reFt/20ys04bbt+ 8x/u/wAP3fauMvf2c/8AirF1qx11lP8Azzurfdj5dv3lZd3y1y1Mkrxj7slL9z7L5/5GEsuqx+H/ AJ9cnzPGf+as/wCf+faj/mrX+f8An2r0Xxl8Hbnwx4gsPEFvM9/bjct9Jjbsby9qtt/u/d/vV51/ zVn/AD/z7V42Iw9TDVJU6n2cM4/cefWpyo1JU5fZoh/zVr/P/PtR/wA1a/z/AM+1H/NWv8/8+1H/ ADVr/P8Az7Vz/wDzIc//AMpD/mrX+f8An2o/5q1/n/n2o/5q1/n/AJ9qP+atf5/59qf/AMyB/wDK Q/5q1/n/AJ9qP+atf5/59qP+atf5/wCfaj/mrX+f+fal/wDMgf8AykP+atf5/wCfaj/mrX+f+faj /mrX+f8An2o/5q1/n/n2o/8AmQP/AJSH/NWf8/8APtXU/DvW7PQfjRfXV4sPlLatiaQZZP3a/dX7 zN/D/wACauW/5q1/n/n2o/5qz/n/AJ9q6sLiPquIp4iP2cMn9x0Yep7GtGp/LRPfbz9ofQ49a/sm 007ULm8/2kWNPu7u7bvu/wCzUel/tCaVceJH0bUdPuLCUD5ZVbzkPy7v4Vz92vBjz8WP8/8APtQO PiwB/n/j2r1/7br8/Nyrl9j7X5/5Hof2jV5v+4XP8z7F0nWbLWrX7RZXMdzDnaWjfdhvSr3+FfPf wSur9fix4ighj3abJaxtcO275WVV8v8A4F8zf+PV9Cr96vrcHiPrWGp1/wCaKf3nu4ep7alGp/Mh 9LRRXadAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfM/xd8NvpPxq0/Ulh2Wupwsysv3TIsb K3/Avu/99V5//wA1Z/z/AM+1fS/xf09Lnw1Bd+V5j2V0sm7+4rBo2/D5q+aP+atf5/59q/Pc4jL6 9iJf9Q7/ADPk8wjL6zUl/wBOn+Yf81a/z/z7V7J4A+MGkaHJJ4W1QS281u7Nb3CI0iyK37z5scrt 3d68b/5q1/n/AJ9qTd/xdfP4/wDktXFg8VLCVo1F9nDKX3GGHrSo1I1I/Zo3+4+y4b62uI4Ximjk SVd0ZVwd4/2fWrZavjPT76XS/i8stsI1kQbomZdyxt5G7dtr2Pw38YfEOveLbTw9BoaXPlSKt7qS Fgixsqtu2/wtz/er7bCZlSxbhT+1KCnbyZ9Hh8ZCtyx+1KPMe2UUUV7J6AUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUANxisjXvDWn+JrVYb+2WdYzujY/K0bf3lbqprYpDxWcoxnHlkJ+9oz5R8U fDnWvC/xPk1CS1uLjR/mdL9I90Sp5e1fMZfut/DXL/8ANWOf8/6NX2Xc28d5by28yLLDIpRo2Hys p4IrzTxF8BdIvdai1jSpG0vUE6oV8yF/l2/d7ce9fM47KPaOpWof8+nBR/I8TEYDmlKrT/kcLHz/ AP8ANWf8/wDPtR/zVn/P/PtXsNj+zpcN4sOtX2tiIf8APK0hy33dv3m/+Jat7VvgJokk8WpadLNa 6rGc+dMzTLINu3DKT/6DXmf2NifZ83/Tnkt/eOT+z6vLzf8ATrk+Z4Bk/wDC2M/5/wCPajP/ABdj P+f+PavZ1/Zzb+3P7YOvj7bj7q2f7sfLt/56bv1qI/s6zrrra2uvRyXu35YfsZSM/Lt6+Y38NZf2 Ti/5f+Yfk/7eI/s+v/5S5PmeO/8ANWPb/wC5qP8AmrHt/wDc1egXfwN8TWfihtedLS4iRdzWtrMz Sf6ry/l3Ku7+9/8AZVx0/hvV7P4hf2jc6TqFtp6nY1zNayKi/uNv3mX+9XHUwOJp83ND/mG5fn2O eWHrQ+KP/Lnl+fYof81a/wA/8+1H/NWv8/8APtTYpY7j4rLJEyyxN91lbdu/c09W3fFr5f8AP+j1 x8k4/F/0DHPZ/wDlET/mrX+f+faj/mrX+f8An2o/5q1/n/n2pssqxfFhmdlRV+8zN/0xo1l/4TBZ /wDlEdn/AIuz/n/n2o/5qz/n/n2rV0/wnreqfEManZaRfXenf8/McLeU37nb977v8VddpfwK8S6h 40Gty/ZdOtm6JO++T/V7fur/APFV20cvxNbl5Y/Fh+X59jpp4WrU5eWP/Lnl+Z55z/wtj/P/AD7U c/8AC2Mf5/49q9tsf2c4l8Utrd/rskx/5421v5X8O37zM1d3bfC/wtASf7Cs5JGTa0s0Qkc/8CbJ r1aeSVZxj7SXL+59n8zvp5bUl8cv+XfIfLXkyN8VGmWORol+8yru/wCWO2tHUvDOq6L8QLPVL/T5 7KxvN3kyzJjdth2/8Bb/AGWr63tLGGxtY7e1iS3hjXakaLtVfwovLGC/tJLe6iS4hkXDxyLuVh9K 9BZHT5NZe97L2Xy7nR/ZkeX4ve5OQ5H4W6ANJ8Pm6eFI7rUJPtMjL95l27Y93/AcV3H8RqGKOO3j SONFjjRcKqjCqKnWvew9KOHoxow2joerTpqlTjTj0HUUUV1GoUUUUAFFFFABSUtFACUUtFAGVq3h 7TNcVP7R020vvL5X7TCsm3/d3fdrL1P4deHdUjhWbSLdWt1xDLCvlyR/7rLhhXT8UYqJQjL4kQ4x lueMXH7O9k/iv+2LbWLiEeX8kciLIwbbt+9/d21wnjb4Z3fg/wCIekagJpL2yvFZXuPKCrFIsTLt /wC+V/8AQq+oM+1Yninw5beKNNFnctKiLIsqyQkBlZenUV5OMy+lXpThTilKUHBenb0OHEYOnUpy UI+9ax8jf81Z/wA/8+1B/wCSsf5/59q931H9nvTH1SLVdP1C5g1JGyXutskb/Lt5Vdv8NN8TfBG2 /wCJXqWjgNqliGSXcAv2zcrDczY+9839K+YqZNiYRk/i5aPJ6s8iWX1Yxlb/AJ9cnzPCs/8AF2M/ 5/49qM/8XY9v/uar2paDqej/ABMW51DTbqxt24WSaFlVv3O3733W+auj0P4T6/r3ii98R29v5dlD Fut1m+VrpvJVdq//ABX3a4Vg68qnseX3vq3L8+xyxw9Vy9ny/wDLnl+Zx3/NWv8AP/PtR/zVr/P/ AD7Vq/8ACJ64fid9pGiai1tnbvW1kxu8jb/d/vV3UPwA1+bxHF4gN3a28jDLWUzNuj/d7du5dy1p Ty/FVPhp/wDMPyfPsOOFrS+z/wAuuX59jzD/AJqz/n/n2r0DwV8H7rxd4svPEM942n6fG+yHy1Vp JW8va23Pyrt/vfNXa6T+z3pq6w2sarfXE1+w/wBXaN5cS/Lt/wB5q9XsbKDT7WK2t0WGCIbY416B fSvdwOUShOnXr/8APpQcfzPTwuAlGUalT+RRt+ZleH/CGl+F0f7DaJHLJ/rbgjdJJ/vN1Nb/AGoo 4xX1UYxhHlie5GMYq0R1JS0VZQUUUUAFJS0UAQSRrNGUdQysMMG718+63+z/AKvp/joaxpElvd6f /DDO+2SNfL27f9qvob+KkXriuSth6eIhKFRfEnH5MxqUY1ouMjyK8+BMV1b6XqKSwW3iK0jZZXjU +Tcbt3Dfxfxfe/8AHa8Y1jQb7w98Ylg1CONJ3XzV8uTcrL5LL/7LX2I2NuDWNqnhXRtcuIZtR0y0 vZ4lKpJcQq7KvpzXnYjKqFaElD3ZODhfyOStgadSL5fi5eX5HyJz/wALY9//ALmo5/4Wx7//AHNX 1ZJ8NfC7RSomhWcZk+YyQx+XID/suvzL/wABNTyeBdBezitH0m2lgjO9RIm5g3PO7r/E1eV/YU+b +J/y59l/wTg/syX832OT/gnyZ/zVn/P/AD7VKtq0nxMluht8pW2r83+sbydvy/3q+qR8NfCyzeZ/ wj2mGX1a1Rv5ivNvGvwp8Q+IPiJb6lp8Fla6Np9ssVtG83lK25W3Kqqrbfmb+6tRWySpToylGXNL 2PsrdxVMtlGnKUZc0uTkPGv+atf5/wCfaj/mrX+f+fau58S/C6fwprmn+IL2/iN5eXDQfYYVZlVf s7/N5n8X3f7v8VcN/wA1Z/z/AM+1fOVqM6M5UanxRwx5FSnKnKVOXxRoh/zVr/P/AD7Uf81a/wA/ 8+1H/NWv8/8APtQjLJ8V/MjbcrfxL/1xqLP/AMtCP/lIf81a/wA/8+1H/NWv8/8APtR/zVr/AD/z 7Uf81a/z/wA+1L/5kJ/+Ul/Tdd1HRvipdx2F7NZpdRhJvLP3l8neK1fDvxG13w38UpIYry6vbGT/ AFtpczNJvXy93y7m+9/tVzeP+LsY/wA/8e1HT4sY/wA/8e1duHxlfDSj7OXuxw3Ny9LnXTxE6PLy y+GjzfM+sPD/AI+0DxLePZ2GoxyXyLua1dWjlC/7rAGulznivjXStVudG+MwurNo0uQjBWkG5f8A j2/u19BfDf4mJ4o1S+0S+KrrVn+8Jjjwkse1Pm+vzba+0wOZwxXs6cv4koKdvJn0OHxkK3JF/FKN z0qloor2j0QooooAKKKKACiiigAooooAKKKKACiikoAqXlnDf2s1vcRrLDOjRvG3IZWGGFfLfjjw LJ4L+L1g4l86zvo2kgLfeQLGy7Wr6sGNorxz41eG2uPEPhjXJFeTT7WR7e7WFtr4b7u35h/tL+Ne VmOHjXw1RbScWr9rnHjKMatGcf7rPDv+atf5/wCfaj/mrX+f+famp/yVlsKyruby1ZtzKvk/Lu/2 ttO/5q1/n/n2r88qU/ZVJR5ub/Zj5OpHlly/9OQ/5qz/AJ/59q91+B+vWLa14k0UQsuoLJHdtLt+ V4/KjXbu/wBlv/Qq8K/5q1/n/n2r6D+C3hVLQ6v4gLSefqUiwhWPy+XGoXcv/At1epk8ZfX8PL/q Hj+Z2Zf/AL3T/wCvS/M9Vooor9EPrAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooASilooASggY6UtFAGJfeE9D1OYzXmi6fdznrJNaxu35lax9Y+FfhzWpoZm0uG1uYf9XcWY 8lx/3z1/4FXY8YpKzlCElyyREoxkrNHlafs8eHl1j+1GvtTlvf7zSxr/AA7f4Yx/DXWeH/h7oXhm aW4s7BGu5uJLmY+ZK3bbuPOK6jtmjqKxhh6UJc0Yra3y7ehMaNOOsYjgoAwBgUUtFdRqFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFJS0UAFJS0UAJgelGB6UtFACUtFFACUUtFAB RRRQAUUUUAFFFFABRRRQAUUUUAFJS0UAFFFFABSUtJQBynizwJY+MptPlvHnRrFnaIQybQ25dp3V 5DrnwF1mz8frq+mSR39g4YlZJPLkj/d7dv8Atfw/NX0KGG4euKX0FcVfC0cSpe0j8S5fkzCph6dX m5o/ErfI8d8N/AK1g8Tza9rtyL6dtvl2sQZI1+VV+Zv4un3a8a1TxFdeIfi8HkuPNs42kWzjX5Y4 4fLZl2r/AA/LX2Ljr718y/Ej4fWvg34naTe2U3+i6isxFt/zx8uLbtX/AGa8rM6MaOXVadNaKDj+ GhxYulGnhJxj8MYP8jh/+atf5/59qP8AmrX+f+faj/mrX+f+faj/AJq1/n/n2r4f/wCZD5b/AOUh /wA1a/z/AM+1H/NWv8/8+1H/ADVr/P8Az7VNa2dxe/GARW0DzysMhEPX/Rv9qnTpyqTjTp/FLDFx jKcuWP8Az5If+as/5/59q9f+BOiwzfEDxZqz7vNt47e3j/u/vF3N/wCgrXj7b1+LTLJGYpELIykq 21lg2/eVmWvavgRM7eLPGURlHlD7KwhLfxeV97b/AJ/hr18rpyp5pRp1Pijh1+Z6GDjKnjacZf8A Ppfme30UUV+hH1QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAgGKzdf0ePX9FvNPmLJHcRtGWXqPet OkqWlJWYHxMvmL8WmjnXZPGzRyL/AHWWHa3/AI9Tv+asY/z/AMe1fS/ib4O6D4k8Qf22RNZ6p5bK JbdgFZv7zLj5jXlviz4M3nhfX7TxJHerfwfdvMQ+WIv3e1Wxub5a+IzDLalGVSvT/hqi4eZ81isF KnKpUj8Ps3E86/5q1/n/AJ9q9++H3xV0drrSfBzx3EOrwwrb4WLdCdse4Nv/ANpf8968E2r/AMLU ZvM+ZW+7/e/0eu0+EumrffHq6nZd32O1aZeP4vLVf/ZqxyerKONpUfsyowf3P/gk5fUl7enT/wCn SPqGiiivvz6cKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEopaKAExWLrvg/R/Ek1 tPqenw3klru8ppB9zd96tukqdJLUPI8v1j4E6DdXaX+nb9O1NZC5uWdpQw27drKzfdrzPxP8HNb8 M+MItfaWG/00/wCumhVkeL93t3MvzfLX01XI/EsXzeE7hbJXbLKJxH97yf8Alpj8K8XH4OhKjUqc vvcjjpvbsjzsRhqUqcpcv2bfI+WP+as/5/59q2dJ8SPovjzV7CCNUm1BY1+2q22S3VY9zKrfw7qx lKj4rKR93+Hb/wBe1dL4E0TSvEHxrnh1W48uMQboYWbaJ5PKVdn/AHyzf9818hg6NSpjIUqcuWUs MvzPn8PCUsRThH3ZexOYjjVvinGU/wBUy7o2/hZfJrsvhdNep8fvLtSy28kLC6X+Fo/J/wDitter fFzwba3sVl4iXbFcaSGB/wCmkLKV2f724/L9a5P4I+G5JPiN4i110AghhjtIm/vSMqsx/wC+VH/f VexQw08PnFOD2jRtf0aPQo0pUcwiv7lvuZ79RSUtfZn0IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAJVLVNNh1bTLyyuBuhuoXhk2n+Fl2mr1JSaurMW+h8ea14T1bwv8WoBqVuyLMreTcKv7uXb Dt3L/wDE1reA/HTeDfi7fK0JntL6NYZdv3l2xq27/gPzfLX0H4/02LVPCeoIU3TQxPcQN6SopZTX ygsqyfFZZB91l3bv+3evisRRlgMdLFUvhVFxX/brR85Xpyw2J9rD4Y03b5H2fa3kN9bRXELrJDKq yI6nIZW+6atGuR+F4lXwVpyywmAgSbVb+JPMba//AAJcN/wKuuWvsKU/aU4zPoacueKkLRRRWxYU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSUtFAHhHxS+Fdho+taf4o0uAWy rK0d7HH9wbo9qMq/w8/L/wACWvHlZo/i1E6LuaN1kVd23dth3V9nXMMd1byQzIHicEMp7ivlHxb4 P/4Q34xW0C3kdzHcRtNGq/ehj8tlVW/2tq18pmWGlQqVcypy+Gk4/qjw8XQlSqVMZH+Rr9T3pvH3 hrXPD7Rahf29qLnNvLa3DKJEYj+7/wCPbvu1ofDvw9c+G/D/ANkuriG6cytIk0JYqyt0PzV8q/8A NWv8/wDPtXpWk/HTUtJ1CPwoljbyNBCsMF6zNuCrFuXcv8TVOFzWlUlGWIjyy9kp38nv+SFRx1OU oyqfFyc3+Z9FlRkGm5G7p+NeDaL+0Fe2viGbQ9TsRfz7v3NzA3lf8s9/zKa9j0DXIfEek22oQq6R TBvlkXDLtYqw/Na+hoYuliYx9nLdKXyZ6tOvTrW5Xur/ACNuikFLXYdAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUANK1xGqfCLwrq2sw6rJpccd6pLM0LGNZd3Xeo4au4pOnSs5RjJWkLcFUKuAM CnUUVoMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAM3V9Vh0T TLu/uMiG3jaRyoydq818fT3l1qHxgkubtt1zMzSSfN91mh+6v+zX2NfWcF9azW9xGssMyNHIjfxK w+YflXyR4k0X+wfjhNaCKSGBW3ReY/mbo/J+Vt1eBnMZ/VKzv7vJP77afqeVmEZ+wqP7PKzMbd/w thsff/h3f9e1T2ul3118Rvt0VndXMEf+ukgt2ZY28nbt+Xd/s16J4F+DTeJ/FH/CUXd4senLM0a2 qx5acqnltlv4V3bl/wCA19AWtlBY2scFvFHBBGu1I412qPwFeTgcrWJw9OpU+1RjDz8/6scmFwKq UYzl9qCR80XXwpvvs8njZrlrb5/Laykt2jkjX/U7vm/76r3H4feKNP8AEWlm1tUjtp9O2wT2kf8A yy+XK4/2SvSuk1LTbfVbGa0u4Vntpl2vGw4Nc34X+Hen+E/EWoanp5ki+2RJHLASzLuXPzZY+le/ hsF9VnHkl7sYKP3bfqelRw/sakeX4eW33bHZUUUV6x3BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSUtJ QBHnkHt3rhPiD8N7fxZcWuqQYj1ixVhFI3KyLhv3bfix+btXeYHApe+OlY1qMK9OVKpszKpTVWEq ctmfMfw9+IUngz4oalpuptdW+nXUShrc/dt5lRWZiv8A31u219Nryu71r5o+LGkPD8ftGeaEC11B YVLKuN8f+rk+b+9t/wDZa+k4Y0ghWNF2xxjaB6CscPRWHjGhH4YpIVKmqMY0o/CkieloorsNgooo oAKKKKAG1Wvr630+3ae5mSCFfvPI20CrHauN1q8GqaoYx/qbGXG3+9Jt+9/wFWr57Os3pZLg5Ymp 8vNmtOn7SXKb2la9Z6q0qwSszR9Q6MmV/vDd95f9oVq/rXBfaPsGo2N6VklSJmV1jG5irLj7v+9t rqtL1qy1VXFvP5jR/eRlZXH1VhmvP4e4gp53hVVlaM/5bl1aXs5WNWikpa+xOcKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBOMUUdKoapqsGk23nTtwTtVV+87f 3VrKc40oucthj7zUrbT/AC/tFzDb+Y21PNcLuPtVta4S4Ml/M1zeKrSMNoj+8sa/3f8A7KrHh+6b TtUhsWkP2K4jbykc/wCrkXnav+yy7vl/2a/PsDxpgswzN5fBej7/ANdDqlh5RhzHa0UUV+jHIFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFACUtFFAHiXxut7m28ceB9WTT5Li3sZpJHkVcqWXayx/7LNt+WvZoZTNArlWTIztb7wqVuRQ vFRyu/MT1HUUUVZQUUUUAFFFFADcVwtzH9l17VLf+863C/7rr/8AFI1dzu25rkvFEHl65Y3IG1Jo ZIXf+8ysrRr/AOjK+B41wf1zJqqXxRs/6+Vzqw8uWoiAdKqX1sbiFmj/AHd5GreRP/EjVaXI607N fy1hq9XC1I1qcuWUT23aRdg8ZfcFxpl5ET9549kir/49u/8AHa1v7d05bVbhr+2WBl3LI8qqpWua z71XNjb+c032ePz2+9JsXdX67g/EjFU4P61RUvTT/M8+WDX2WdBZeKrS8vPIHnIHP7qSSPbHLx/C f8a3T1rzfVoruWNUtlHJ3mRh91lZWX+Jdv8AvfN92tS31TVrBg/2o6hEfvRXIVW/4Cyqv/j1fW5T x1hq8IrMbU5S7bW8+39MwqYWX2TtKDXOL40tto8y0v4ZP+eX2cv/AOPLuX/x6rmk+I7fVZ5Yo45o poxu2TJtyv8Aer9Eo5lgsTKNOjWjJvs0cns5R3Nqikpa9UgKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigBtct4uYi+0kEfuvMkb/ALabfl/8dMldTXP+LrZptLSdFLPazxzbVHO3O1v/ AB1mrwc9oTxOWV6VP4nFmtOXLUiZf3qr3Vqt1btG/wB1v4l+8v8AtL/tVMrqyqytuVvustL1r+OI ylh6nNH4kfQbm74b1JtS09Xl4miZoZfdl71sVyPhVgmv6ig+69vDIf8Ae3SL/Sut/hr+xchxkswy yjiZbyR8/UjyzcR9FFFfQGQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVe7s4NQt2guIY54X4aORdy mrFFJpPRgczJ4LtR/qLi7tk/55xzZUf99bqzrrSNV0+RgtudRg/hkhkVZf8AgSttX/vlv+A12nB7 UV8pmHDGVZjHlq0UvOOj/A6I1px6nn7XzRECWz1CM9x9hmb/AMeVdtWI5VmjSRG3I3KsoruSPXpW LeeE9Ku5nmks18x23syMy/N/e4/ir4DHeG2HlH/Y6zj66/lY6I4yX2jE+vNDZ7HFWZvCNzD/AMeW ol1/hjvo/M/Dcu1v++t1Sr4NVoy09/def/FJA3lr/wABX5q+Rj4d5tKpKEpR5f5r/wBM6PrkChzV S6ka32zpeSWDj5fNj25P+zhlZWrVuPDN/aJm1uxf8/6u82x/+PIv/stXdJ8NpasLm6kF1dfwtt+W L/c/+KrsyvgbOMPj4uVTkjH7cX+X/BFUxNOUTF0WDULrVLd1k1MAHM0t2XWMqV+75Z+Xd93+Gu5/ Ck7UYwK/ecBgvqNL2ftJT85O7PLlLmY+iiivUICiiigAooooAKKKTI9aAFopMioLi+gtdvnSxw7z tXzG25pXAsUUwOGXcDkU7I9aYC0UmaqSalaQuUkvIo3HVWdQRQBcooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKTHGKWigDg7yx/s G6itlOLKY7bbp8pG5jH+Cj5f9n/dqTbXR65pw1bTZLcNtk+9E/8AdkHKt+dcra3HnI2Rh0kaN1/u srbWr+aePMgjl2JjjKEf3c/wf/B/zPXwtTmjyyNfwdCjQ313ndJNcMn+6sfy7fz3f99V03euY8Gy 7f7Vg7R3W9f91o1b/wBC3V0/ev3bIOT+ysN7P4eSP5Hm1P4kh1FFFfQGQUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFACUtFFACUUtFABRRRQAUUUUAFFFFABRRRQA2uG+Lkz2/hE7HaN WniWRlbb8u8V3HeoZ7eO6jaKaNZIz1V1yDXNiKTrUpU4ytczqR9pCUT5HsPG+u2XxCeys9dvo7F1 x5a3DSL/AKrd/Fu/iqvPdax4i+KkcMsl/q6265EbbptqtD/d/hXc1fRvi74T6N4ovrTUEX+ztQtd wW5to1+ZSu3ay/xCtTw54P0vwfb3DWduzXEw3XFxIS0021f8/KvFeD/ZuIdTkqVL0vZcnnzd/uPK +q1pVOSUv3fJb59z5WsdcvE8fLY2t9dW2mzfN9jimaOP/U7vurVnT9f1XSPiVLZ2GpXdlbTSeZJF DMyrI3k7tzL/ABVkWbLL8UI5EVUWT94qr91VaHdtWp/+atf5/wCfavm61aph60o06kvdw/49/U8i pUqUqkoxl8NE7+6+OHii68TN4eMtrBCRzdwQ7Z/9Xu/i3L/47Xj3xEdrjxlqMs0s80rFC0jS8k+W tdC3/JWCP8/8e1c98QP+RuvvpH/6LWtsPmFeWKpe0l8VGL+d9zWhias8TTjOWjpp/O599UUUV+in 1YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAIa4OPH9patjp9rb/0Fa7uuBtWaW41CRxtka8m3L6bW2r/AOOqtflPiNK2URX99fkz uwnxg8cqytLb3D2sjp5bmML86g8fe9Nzf99VPZ6jqOlsPLka+tz96K5f94v+638X+63/AH0tP/Sm 1+I5fxJmeXOnGhVfLH7PT7j0ZUYS3Os0++i1GyguoTuimQMuat1y3g+cxte2PGyGXzov+ucnzf8A oXmf+O102elf1hl2MhmGEp4qH2lc8OUeWXKSUUUV6hAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSMMgilpKAPlDWPhb4g0X4sF7TSLu70 ws32eeBNy+X5W1VZvur/AHfmqG8+HPiix8eLrFxod6LBv4o085l/dbfux7v4q+sVIwMdKdwRXi4j KqFepKpL7UOT5Hn1MFSqSlJ/ajy/I+Q7HwV4h1T4kNe22h6hJaqMeY9u0af6rb95tv8AFW5rX7Nv iLxJqUupGaysvPCn7PcOxdMKFwdoYZ47E19P8KD2FAx9amjlGGpShU6xgofJGKy2jeMuqVvkSUUU V7h6wUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAN4rkvElh/Zt59vQfuLgqlz/st/DJ/7L/3zXWY5qC6tY723kgmVZIZFaN1burV4 ubZbSzbCTwlXaX9XNKdR05cxyXG7Pek/izVcW0un3Bsbh2lkhRWWZv8AltH/AHv97+9/9lT7yD7X aywh2i8xdu5e1fyDjMvq5fi5YTE+64v+me/GXNHmiRQ3xg1IXlo0c01urQyw7uqttbb/ALLfKtdn p1/DqVjFcw5Ecg/iHI9q4XT9LjseQ8kr7drPI27/AHv++mrT0jUv7Gu1hcf6BPKxbd/yykb5t3+6 zf8AjzV+u8G8RUsLX/sudS9OXwSa69V6N7Hn4ii5L2h2tLRRX72eYFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA1fWj6UelY3iTVpNF0eW5 iCvLvjiRGzgs8iov/oXSsatSNKEqktojLOpaxp+kQh9QvrWxjbo1xMsat/30aZpuvabrCyNYX1ve CM4fyJVbZ/velfNn2q7k/aRiS8vJLp4VbbJK33Fa0Ztq/wB1dzNXtvw98OxW+oa54gwRLq8kWzcf +WMcaqv/AH0Qzf7rLXg4bNfrmNjQpU/3bpqfN6vRW/E0lT5Y8x3VLRRX0hkFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAZuqaTb6rCI5dysvKSRnayH1WuNt7ho5xaXbLHfRllZdu3zNv8S/7Lfer0Kq19Y2+pW7QXESzR N1VulfE8RcM4fP6au+WpH7X6PyOmjWlTOSJCjmsia8+0tqFrIscaLG38W5tu37zL/CrZ+X/date+ spNHmWGUtJBI22GZv/QW/wBr/wBCqtfRtNalUVZem6Jh/rF3fMv/AAKv51nltTJ8e8JjY2lpyy7a 7+f9dT1eb2kOaJ2WiStLo1hI/wArNbxs2f8Adq/VTTb2HUNPt7q35gmjWSPjHytzVuv69h8KPBCi iirAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiisK88beH7GbyL jW9PguP+eT3UYb/vndSuluBubqWuCk+M3hZfECaKl9JNet1EdvIyr8u75jt/u/NXXWeuWGoD/Rb2 2uOdv7mZW/lWcakJbMC/SUZpGYKuScCtLgYfiLXodCgjXAkvLhmitrf+KWTbux/u8cntXz8+vaxf ftBWmm6jqk17Bbr8sbfJGrfZPM+6vy/eb/ert/HXiK11P4v+CtPtLyG5W3ju5JFgmVtrNC33sf7v /j1eesyxftMMXbaijczN/D/oVfnWe5hiHisTgYfB9XnL57HXTjHljLzOu0X4WXHij4s3nim4YR6N HJ5ax7/3sjRxrGysv91trf7y/wC9XvHTpXNeCLV4LTUbtxsXULv7TGrdk8uONT/wLy93/Aq6avqs np+zy6gpRtLkj+RjU+Jj6KKK9wyCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDN1awXULGeBl3FgNp9GHzK3/ AH1iuPsJmubCGTcrSNGpb/e2134Nc9rPh8yb7uwQR3Y+Z41wqz/7Lf7X+1X5zxfw7UzqjGrh/wCJ Tv8APyOvD1vZv3jn7bV9Y0nSYI0ezCWVuqCPa0jSBV/ib5du7H935f8AarurSf7VbxyhcK6KwH1r kB4a1XVLCUvIlj5qtH9nkXcyr/e3K33q7K3hEEMca/dVcV2cNrOowm83625dtPuFW9n/AMuyeiii vujlCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmt8q/d3e1OooA8B1zxx 4p1b4iWmmajpl1p/hkbmlVLSTEv7pmXc23c21iq/L8u5axbPwbrK/Gj+37Pw/e/2Kvyhlg8j/l28 v7sm3+KvpXHy896RQFWvAxGVQxVeVarUl70HC3Sz3fqaxqcqPm6Xwnr9r8b18TXGiahFpTf8tFh8 5l/0by/ux7v4qrSeEdRuvjM2tv4evp/DzfeeXT5Nrf6Pt/1bLu+9/s19M7j+lLuPTviuX/V/Dxlz RlL+H7P5d/UftpfqfNf/AAjOuWvxQ+3Lpuq2nhFvmEcMciqv7jb/AKtfmX95/s1lx3BvPj1HprXE l7pDfMttPM00Tf6Ju+63+181fUzZ6DrivIfHPgc2fxX8N+J7WCOK3m822vHT5f3nkybGb/e+7/3z XBmmWywuDrVqdaXu0XC1+y0fr5l06nM7eZ5zFFHD+0qsccaxKB8qqu3/AJcqz/Ei+b8fb1du5fJb cv8AeX7F8y/8CWtL/m5r8P8A2yqC8aNf2kpPODSRbdrLHG0jNustu3avzNXx+CqVFi6c1Hml9TXz N5fD/wBvH1TDKlxCjowZGXcGHcVNWJ4UiuLfQrGK7UpJGhVQ/wB/YG/d7v8Aa27d3+1mtpa/YqUu aCZ54tFFFbAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACUtFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAmKq3V9b2aq088cIb7pkfbmrVcv4n8A6V4svt Pvr5JftNjuELxyleGXDfL0qJc3L7oHN698ZtE03XotAsLmC71CTcXnabbbW+1S3zyd+n3V+nFcbp nh3xb4v+KX9oPqF1/wAI5YqzW9zdJ+7Zmh2t5cfy/wATN/u7a9a0XwTpOg3FxdW9orXs5QyXMnzS NtXavPbC8fLXRba82WFniJc1eXuyjZw6a7/5F83L8J4/N8D76H4ix+LLfWYbibbiSG4g27v3fl/w /wCzWt8PNEuIPGnizUb/AEc2c0kkEcF5In+sRY9rLGeu3cu7/a3LXpQ/Sl4qaeWYWjXjiKcbSjHk /wC3ew+eXLyjqKKK9czCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKSgBaKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAQDFBozVPUr6PS7Ga5m3eXCu5tvU1EpKC5pAWV6HFLgnk1x8/iHWL pswLa2EX92RTNI3/AI8qr/49VC4v9S06GW7S/urmWNdxjk2lZP8AgKr8v/Aa+CqcaZPTxEaCqc19 NFp/XodX1epy8x6B2pKYsytGJAymMjduzXN3vi13uJI9Nht7uKPh53uNq7v7q7VbdX1mMzLC5fS9 tianLEwjCUnyo6jdRn3rlY/GFxHxPpEuPW0mjkH/AI9tqwvjLTlj/eG7hbH3WtJCfwwvzf8AAa5c PnmWYr+FiIv5oqVKpH7J0XFG2ueHjXTfS89ebKb7vr9ytLTdYs9VRntZ451Xhtr/ADKf9pe1d9HG 4fEe7RqRl6MlxlE0aKSlrvICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAzNd1M6XpN3donmPDHuCmuVvLy/1RkW 8khSJWVhDbq3zsp3LuZv/Qam8RaLKt1LqDFry0ZlkMbyM3k7f4lX7u3+KmKweNSH3A9GWvwvjnPs xwtX6nRjKFOS+LTX0Z6WFpwl7xJRRRX4Nd7nplD+yLWT5JIN0e7d5LMxiH/Afu1bjjVQAF2qvRVp /wA1GSK662KrYnlVaUpcvcXLGItFFFct2thifjUEtus0yzZkjmX7skcjK30qbgUuTXRRxVfDVPaU ZcsvILKRBH9tQ7o9Wvkb/bZW/wDHWWrkHiLVLT/j4ihv4/WH93L/AOPfK3/jtRfjSc5r6zCcX5zg 3zRrOX+LUwlh6cuhqR+NrTH+k2t9a/71v5n/AKL3VZt/FWj3UixJqNv5rcCNm2N/3y1YWf8Aapsk SzIyOA6N95WH3q+0w3iXi46Ymgpejt/mc0sGujO44o4rk/DWtxW8I0+9kMUqyMtvJKflkXd8qq39 7+Hb975a6yv3TA42jmGHjiKL0kebKLhLlY6ikor0CBaKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBnFcPdWyWOuXdsvEEiLcRqf4d25W Vf8AZyu7/tpXcAcVy3iy1aK5sr2KGSQJ5kMwhQswVvm3YH+0o/76r4ri7LXmOU1YQjeUfeXy/wCA dOHly1Cntx0GKY0iKyqxUO33Vz1ohmjuIUliZZI3G5WX+Kq2paXb6oE81P3sf+rk/u1/KVGnSVbk xEuVel/w0Pb6e6XeGPWoJLgRSKgjkmlf7scY3M1RafbTW1v5c1x9pYH7+3bxWr4TSNtS1ORjmZfL RUx92Pbu3f8AAm3f9819Rw5klHOM0+pzqfu43d11t2uY1qjpw5itHpmtTD5dPhgH/Tzdc/8AjqtU NzZavY25nuLKBoI/9Z9mnaWT6qvlrXd0V+6/6iZJ7PlVPXvdnm/WqhwFxqVnarumvLeNf70kqrU1 vPHdR+ZBIksf96Nt1dZaaRZaeMWtnb23/XGJUqvdeGdIvZvNuNLsppf70lujN/KvkpeGUbe7idfT /gm/1z+6c6zf3RxTuKv6l4PsXs7g2NrHZ3RjbyZLfMe19vHClax/MvVXzJtKvoo/4m2q2P8Avlt3 /jtfGZzwTj8rlH6v+9jLstjeniIy+Is8Gl6VBb3dveLugmjmH+w26nSyJDG0krrHGv3mavz50asJ +zcfeOzQZd2wvLWWFnKiRcbl/h96l/tDWVfeuphm/wCeTWy+V/8AFf8Aj1UF1yxlYrFdRzy/884D 5kn/AHyvzVaRdSmw0OkXjp/edo4//HWbdX2eTx4iw0ZRy6M499P8zlqexl8RsaHr1xfXRtb6OKOX y98csLNtk/vLtP8AEvHrXRcMOa89uGu4bi232U1peI32i3Wdk+fb95dys235W2/8Cra/4TC4GN2j 3G7vtmi2/wDoVfteS8SRjQ9hnMvZV4/zac3Znn1KOvNT+E6qjjFY+i63FrCy4UwTxtte3kK7l9+P Wtiv0ClVp14KpSlzRZyDqKKK6BBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBHt6HNOFcN8K9eOseHmtZbjz7zT52hl3OGk2n5o93 /AWX8q7jua5sPVjiKUa0NpamVOpGpCNSPUfRRRXSahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABSUtFAHGa1oY0eGS9stxtw++eBix2qzfMy/3duS20e9V4ZEmXchVl/vK1du OenSuH8WaFFbSJPbAWltNthm+zt5Z3+Yvlt8v+0zK3+8K/HOLeD6OLvmGF92UfiVt/P1t956FDES j7sit/aluG4MzfNtG23kbc3+z8vzf8Brf8L6fNC13e3UTQyXGyNIz94Rru27v9rczf8AjtVtH8SW +nxw2V/9n09FTbFIr7YGxxtG77rf7NdWrBgCDkV6nCvD2W4Jxx2Eq87lH/hzOvVnL3ZD6Wiiv084 wooooAKKKKAMnU9BsNSy81ohlHSZPlkH0Yc1xzxPa6pNb7vtD6fcLIiStt81fL3Lux/dZv8Ax2vR PWs7UNDsdW2G7s4p3UfLI6/Ov+63Va+WzjJ4ZhGFSioxqwd07XNqdTlDSdWi1W3MihopF+V4n+8j ehrRH6VnaXotppav9nRgXwWaSRpGb8WNaI/OveoKqqUfb25uttiJW6HKeLYxDqenXTY8rbJbszdm bay/+i//AEGsltZ0+EfPfWqt/d85a7ye3juo2iljWWNvvJIu4GkhtIrf/VRRxj0VMV+fZ5wZSzvG /XJVeXTsdNPESpx5Tz9careWws0L3scitHMyMvlLu+Zt393/AGf4vu16NjjAoor6bI8lpZHQlh6M 3K7vqY1KjqSux1LRRX0xiFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFAHxhZ6jd6f8Wmazu5rRm+80Mm3/AJY/+PV9I/DPxw/ixNSs 7p4xqOnzKreX8vmRsqsrbfzX8K+ZQ274sZ7f/c1anh/xJdeGfjQbm1aTay7ZoVO3zY/JVtv/AI7X 59leLlRr0aVSX7uOHjL/AIP3Hy2DxEqdWnCUvd9kpH2FxS1wmj/GHwxq10bKXU00+/UfNa3n7th/ wL7rf8BY120cqyxh0IdWG4MvevvKdSNWPNHY+mjKM1eJNRRRWpYUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAlVdQ0+LVLSS3mXdFIMECrdJis5RjOPLIDhLu3utLuY7e7CSxy llimjH3v95f4agtJhoNxBLDI1tYK/wDpEK48sLtb5tv8PzMrMy+ldjqmkwatCqTBgVO5JI22sv0N Yc3hG5iVjaajJK3/ADwvVVoz/wACVVb+dfk2K4XxuX5jHH5K1GH2oXav5ejPQjXjKPLUOsBpetZW g2D6XpsNtLN5rR9+Nqj+6v8Asr938K1Ov0r9XpylKN5RscA6iiithBRRRQAUUUUAFFFFABRRRQAl LRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFAHxP8A81a/z/z7Uf8ANWv8/wDPtR/zVr/P/PtR/wA1a/z/AM+1fkn/AMyH wX/ykP8AmrX+f+favov4O+KotQsr3Qs5vNJkVdpON0Mg3Kf+A5Zf+Ar/AHq+dP8AmrX+f+fauq+H fiVfDvx3bzW2215H9kkb+7ujVl/8eVa9nKKko47Dx+z9XX5np5fOX1mnH/p0j6uooor9CPqgoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKAPif/mrX+f+faj/AJq1/n/n2oor8k/+ZD4L/wCUh/zV r/P/AD7VHef8lQn/AOubf+k1FFdWC/3ml/2DHVh/40P+vJ9oaWxaxtiTkmFCSf8Adq5RRX6fHZH2 UdkFFFFUMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/2Q==