20230420 19142200 1.0 TRUE TRUE NCDOT_RowMS_ProposedAcquisition The NCDOT_ROWMSProposedAcquisition service contains a collection of features which are proposed for NCDOT Right of Way acquisition, necessary for road construction or improvement. NCDOT Project ID and Parcel ID information is included. A wide variety of features in this service represent items for acquisition such as property and parcels, and easements for utilities construction, slope, drainage, and trees. Annotation for some data is included. These data support the NCDOT Right Of Way Management System (ROWMS) which allows for the continuous capture of right of way data. The data entered are the latest available to the NCDOT Right Of Way Branch, but data currency may vary across the system. The Right of Way Branch of NCDOT is responsible for the acquisition of all necessary lands and rights of way used for construction and improvements of all highways which are part of the State Highway System. This includes roads on both the primary (interstate, U.S., and N.C. routes) and secondary (SR routes) systems. Purchasing land for other public modes of transportation is also required for expansion and to accommodate increased demand. Multiple facets make up the Right of Way business process from early NCDOT project development to appraisals and land purchases. NCDOT’s “Understanding the Right of Way Process” document provides more information here: https://connect.ncdot.gov/business/ROW/ROWManualsandPublications/Right-of-Way-Brochure-Single Page layout.pdf The Right of Way Management System (ROWMS) is a web-based application that captures Right of Way (ROW) information and documents, provides workflow and reporting capabilities, and interfaces with internal systems. ROWMS supports NC legislative mandates requiring Right of Way to have a role-based, data management system used by all projects. A major benefit ROWMS provides is a 25% workflow cycle time reduction. It also facilitates process standardization, cross-department integration, collaboration across the organization, a detailed audit trail, and contractor integration. ROWMS integrates systems such as SAP (Vendors, Invoices, POs, Asset Management, etc.), SharePoint (public documents and deeds), DocuSign (electronic signatures, eNotary), and GIS. The GIS Unit of the North Carolina Department of Information Technology-Transportation (NCDIT-T) has developed a process to convert the Right of Way Unit's original DGN/CAD files into a GIS format, that can then be managed and disseminated to meet the ROWMS project needs. These are adjacent and nearby critical features such as existing roads, buildings, utilities, and property, affected or impacted in some way due to NCDOT’s state highway system construction or improvement projects. Proposed features for ROW acquisition, proposed roads and related features are also included. This ROW data can be viewed overlaying maps in the application. The GIS capability of ROWMS enables management and dissemination of Right of Way-based spatial data. RowMS NCDOT ROWMS proposed acquisition (Geoservice Date: 12/11/2019; Last Updated Date 7/29/2026 20:00) NCDOT GIS Unit The North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data. All Right of Way data is the sole property of NCDOT and any public purpose use is subject to approval and release by NCDOT. No data, whole or in part, shall be released, published, or shared without prior written approval by NCDOT. No information concerning the data shall be divulged to anyone outside the proper officials at NCDOT or the Federal Highway Administration. All Right of Way data is strictly confidential to NCDOT and its approved contractors. /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAKGpaxZa XFuuJcyE4SFOXdj0AHqamUktzpw+Eq4h2gtOr6IhufEOn2juszTAxkCQiByI8jI3MBgDkc5xTckn Y0p4CvUScba7arX0V7/LcdZa9p9//qZW/wBZ5OWQgb8Z256Z/rSUk9hVsDXo/Eul/le1yympWUmo SWCXMbXca7nhB+ZRxyR+IpqSbsYvD1VSVZxfK+vQsCRCzKGUsuMjPIzTMuV2uVp9V0+2jlknvbeN IjiRmkA2H0PpSbSVzaGFrTajCDbe2m5NHcwTf6qZH/3WB7Z/lTM5U5x+JWCK6t513QzxyDO3KsDz 6UBKlODtJNDy6hWYsML1OelBNnexBDqFncnEF1DKcgYRwecZ/kKSkmaToVYfFFr5Cz39nbSCOe6h icjO13AOPWmEKFWa5oRbXoLc3ltZW/n3M6RQ5A3ucDngc0m0txU6NSrLkgrvsNi1GynkEcV3BI5G QqyAmi6Klh6sFeUWl6BPqFpbEia4RMEKdx6EgkZ/AGmKFCpP4Y3LG4FQ2Rg96DOz2FoEZsmv6TFq f9nSX8K3f/PMnofTPTPt1pcyvY644HEype2UHy9/6/M0qZyBQAUAFABQAUAFABQAUAFABQAUAFAB QAUAFABQAUAFABQBk65r0Oi20jmJp5xGZFhXjcB15xx3/KplKx3YLAyxU0r2V7XOE8Rayl5pN2Y7 aJtSuposNBiRo4sLtyy985xn8uKxnUVtFqfS5fg3Trw5pP2cU99LvW+j8rXt95disBY2kUusQOP3 W68BfasjYIjjCgfMTxkAgZHStb2ik18zmnX9rNxwz6+73S05m30+aZdt/s/h3TkuJprewjeUzpZz sNpUqM7BkYORxnOMmoXLTV27HPU9pjarhFObSs5Lvfq+1t7WuW7+aL9xrtnLa27u3MyxmYTRgdGK lcEZPc9Kpv7SMKMZe9hKqckul+Wz8r33+W4yGew1KKe6g1CcGWTCW5hJ8tlIOSo+Yn8cYPSm7PZl ThWoOMJwWi3vundb7W+RWub7Uba9vX1C0t0iuQVt90YJCKTkyLu+Y8gAA/xUry1ua06FCdOCoybc d9er7O2nnfsReFZ49U1Bri9tW06dQUgt1lO2RXTqFI+XheoxSpy5nzWsaZnTeHpclKXOt27app7X W+r63IhJHPeNpth5KzQMyQy+UVC4G0kktywOMZH0HerlK5TjKEFXrXs7XV7369tE/X5mvb3FvZ6S 2qafKfJUukySsX8xyQAxx1OccccHqKnmTV0cNSE6lb2FZauzVtLLdr0tf7jNguba20s3GmNJb3F7 dp54kUkRyY5RM4wTjHfGaIpWbiddSnUnW5K9nGEXa3Vd3vtv0uZVldXs1+dR1i2+13Fy/wBm+yzW xTChsqI3ztI6cEc81CUvia1O6vSpRpeww0uWMVzcylfVqzut19+h232qS6torO5tYmSclJRB86xo chTnGCcgA+la3b3PnPZqnN1YSemqvo29LnLp4HQW8jR3c2nyyzsgA5UhTiPgAemSeOtVQUadVVGt un9I9p503JKUVNJJ/f8AF1f3Gp4faa7vbq11G6ke/jEkbSRK6jrjIbJU+wxxzXTXoRglUpu8X95x 49Rp041KMfcdnZ2/K1/XXUvaTo86SG41a/ubiQ5igindQFUHr8uAzHGc9a41Czu3c5sVi4NcmHgk t21fV/PZLaw63tk1GcS3C3SiGZ4UK3R2fIcAkcZJI755FNR7kzqOjHlhbVJv3ddfvtb5aDbGytHu JLBNMNxaEmSe8uHDF5QcdMZJ468YoS6FVq1VRVZ1LS2UV0j/AJfeblpb/ZbZYfMaQKTgsACBngce g4/Crbbd2edVqe0nzWt/X6k1IzCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAGPNFG6I8iK7/dUs AW+nrQUoyabS2IH1GzSSSL7RG86KWMKMGkwOvyjnuPzouaLD1WlLlaT6vb79jB1O/wBXlu7GSCCa 208sskr5QPtHLbsngY+pqJX0PSw1DCxhNTalPVLe3la27/ApXUM2uXs9vqFm/wBmuoPM/d3G7ZEv IKqOrEkdqJR5tJbHRTnHCU4zoy96LtqrXk97vokirpmgWVjdzLDYRzadeBDGYX2tFJH8pjLcdQT1 5JyKiFNRvpozfE4+rWhFzm1OF736p63S/roy14l0Cwu/L09tQeOW8lVYrYSbRsHJ7EkDBbnHPenU jGXut7mOXY+tTvWULqK1dur0XVb7egkskptrm0utMza24igtg0YEme53H5SPlzxVJtaMIxjzxqU6 nvSu3rp9299bahDLd21xfiV7GDSmLyRWyxKRcxlRkqF+Y8/nmkr3d9gnCnOEOVSdTRN3fuu+l29P 8rHnt7HcoHv9AT7LMpZriLzsSLtIwyo2CAPXr15rmnGd709H/XRn1VGVN2o4x8y6O2mvRtaNv7vI zH1LVbnxBc3N3fzx36xjYyA8kAY47djWSdT20lN2aOxYfDQwsYU4Jwv/AJ39expafrev3lzZXsav c6wsgS3ZuPNjIJYHpu6jvWkJVGlJ6t/kcmIwWCpRnSfu0rXfk9LPrb7jutLbVm07Ub/7EIIFWKWO NZQNzJnzF5zjkdcZPrXVeWraPmsSsN7WnR57vVN26O3K9LdOl9Ow7SPFllrl2tl/aE1rfFXkRyU2 L0JTHRsDoSO2aUakZSt1Fi8qq4WDq8ilDRdb+vdX6r5EniC61bT0t7eYW01rKeboRKFaXJ2bweFH AyaqTt0IwFLDVnKcLqS6Xe3W3V+SKeg3lzq9tb3OqTi8nIdfLgyPMAPKsv3eAcgjk8YNKDbim9To x1GnhpyhQjyrTV207NPfXqtlrdGl4g8X22i29xHBe24uA6ItrtCSRZ5JIPX8uM0SqRje7OTAZTUx UoynB8uuu6dttti5a26NpNov25coBJLbyyxsspd8gscHqc4xjmqWyuc1Wo1Wm+TfRNJ6WXT9bm1c xzfZmt4bl0nlY7JfK3bOc4OBgccAn9TQ7rQ4Kcoc6nKN0t1ffp/wdPyMbTtajmvp7GKxkubuKUCa 4SLEW7aBuLHocD07UlO7sehiMHKNONWU1GLWivra+1vUs/2Wb25kh1e0juYvMZoZd/VckhWUY6ZP r71aimncx+s+yipYaTi7aq3Xunr28vIvWWkWWnokdqjRIkjSBVcgZIxyM8j2NJJLY5q2Lq1m5VHd tW27Fucy/ZpDBtMuw7N3TdjjNNmMOXnXPt1GWUs09nFJcW7QTEfNGxBIP4Ej9aUW2tUVWjCE3GEr rv8A8OT0zIKACgAoAKACgAoAKACgAoAKACgAoAKACgDmr+9s9bhntVu0t57efy0lwXQNnA54BPt2 OKh6nrUKNXCyjUceZSV7bO2787efVHMfY5NQ1C1eK+jnvZmkD3UUZwrRjaFDY4JJ5PQ4pJHs+2VG lJShaCtZN9Ja3t1t0R2EugxanYabHqFvCDb4aSJQcbtuCAQeOapxutTwoY6WHqVJUZP3tn5X6mZc a/HpOk31tHJloC8Vs3Cng4xjkgLwM49OtO7sdcMDLEVoTa0lZy/ru+1zk5dQN1aWz2UN7arAwmZ5 4WdRLyxdsdQTtGc/h3rJO6sk7nuQw/s5yVVxlfSyaXu7JLs93+po2eoabrS2wv5Fs9WaV1mdkwJf lIK8HhT0z3x2NEWpLXc5K2Hr4Vy9iuanZW1210eq3NOa01CyvtJB02FsXElxPKXOOFIA5Jy+OgyR xV9vX+vmccKtCrTq/vHsklbzu+m3cdbazaan4ot7W3hEEUUbzkvwyk/e3IR8rZPXP86aleXLYVTB 1KGDlUm7ttL/ACs+qt0MzShfalqDxafeTxaOTIz3F1AC8jHAIU8DB3cE88VNm9tjsxXsaFJSrQTq 6aRbsl576q2vqZN1p2leG54tQ1K7a+a8laC5huV2uI87d45PK46/lWMkqb55PfQ7qWIxOOi6NCPJ yJOLW197dNGdFp9jpOpOPscjxRXkm+AZUPCFAYmPbnGSBnOO9bcqex5OIr4mgv3qu4qz3s7u3vXt e3S1ya/8lNStY3ubx4rvECNHcEOgwwLFAvGWPU56dqcnrZmdBzdKTUYpx1d1o9tLt9uhzHiTQBZ+ MNKs7eS3VWXezTtkz4GHLcfeIz0Nc9SP72Nt/wAz2cux/tcDVqzT7adO1tdkc5HPZazqatexzCBJ jI9nC7OETnPPQDcR79aTlCpo/mr3PWlCthaLVJq7VlJpK7/4b5HdaLp5vrayv5IriLdKiRoCz7Mj 5HTkqABt655BzW8bNHzeMxHspzopp6O+yv3T0u23f8LFnXINO1i6Zp7W3N1bTPHIZAwchVyp7D3y Tj65okoTevQxwVSvhYJQk+WSTVrW1evd+Wiv6FfTbMR6wYZbdvJimREkilzGs2MlsOPmPUDHHtmm kloa4ms5UOaMtWm7Na8t9rrbzvr52NLWfEt5axSNZW1ok81s0hlkuceVtyOVI+ZvbjnrVe9JqEN3 3OPB5dSqNKrJ8qklZLe/nfRefbY3tDuXvrRbuS2EckkUYaQ8M5xk5GBwM8cnrVcri7S3PNxtJUZu nGV0m9Oi/H79ieWC0vrlnWQfarYNGHU5aIsOuDxnGKmyb8zKM6lKFmvdlr62ZYW1iW4kn2/vZUVH bPUDOP5mqtrczdWTiodFr9//AAw2zsbewiaK2QohYtgsTg+2abdx1q060uabuxJXu1voAkcTWjKw lYthlb+HHqO1XFQcHd+907BFU3Td2+bp28yzWZkFABQAUAFABQAUAFABQAUAFACO21GbBOBnAHJo Gld2Kt1qVvZW6XFzviib7zsuBHxnLHtSclHVm1LDzqycIav8/TuVR4gsZdLXULUy3MLvsjMcTfM3 bt09+nvRdNXWpt9QrRrOjUtFrV3a2/rpuV5/EtvbSvbXO6G8kYrbQeUzyOMfe2qORnPI44pOSTs+ prDLqlRKpDWK3d0kvK7OQOj6tYaq8UdxJEk90ZY5/IywDONy4wepK45HAz61HJLm3/q+x731vDVq KlKN2o2avpotH0216PVmasl54R8V6fPfX9rvuFIltIysaQBsD5gOPQ5P92sLOnNNv5HW40sywVSF KDtHaTu27dr/AD08zpIPtutXMctzftDp8km9TZ7yszjC538lFODgAj1966Y3etzyJ+ywsHGELzSt 71tFvt1a63T7E0MVm+Va8i+3TSh4raeLy1MjA/K64yVypIyTyBzQrGcp1VtF8iWrTu7K2qd97NJ2 toal1F5euRGe3d0vbYQSomSgwSfTj73rzzxxVdTipy5sO+SVnCV1ffX5+XY5a5t9L1j7NaW0dxYT pcBbd9+AFUsAwZueTnjnJrN8smke1TqYjDc1SbU01rp1drqy00X3Io+K9Smi1zSY77VLuNQTFPb+ UuCQMGVQeMHIwT79MVnVqKM43bXl+p1ZXhoSw1V0qafVO7+UX106/IyPEl9by6hNYaVkWaD7TcM0 g3PJj7jEZyoCjIGfc0qt3PkS0WrO7LqE40lVxHxP3Vpol3V+uun4HY2+ow6tZJpcNxdauLfy2l+y KiqCCSAXzgjOBgc8Vqp82l7ngVMPPD1HXlFU+a9ua7fyXf17mhfaBouuG3s73y7iEhin+kjzInBw wUj5myTzknkUTpxqWU1c5aGPxeE5qtK8Xp00ae1+i02J7C3tLfVhbr9tAhJitSHZohhcHOBjI/2s 9RVrR/1/X3mVedSdHnfLrrLZPfpfv/dI9V1W38JS6d9rMbQyApLcGPMrY6YC9snr2z71M5+z1a0L wuFnmKqezvdapX0+99dDnfF2jRP4aOoTyC6t95mS6Yv543ZIABBCruIGPSoqwi4XZ62U4ySxfsYr llty6cunfXV21ucfo3huzcJdXLXsMDW7GTZA/wAjDqN3rjByeOawp4ZQd2rXXn+f9I97GZlVV6dP lburarVenbppqbvhxNWh+xWsVpdac07Isd0u93aDdzhGyF9TnpnjiuilFqKvp/l8/wDgnmZg8NLn qSkp8t7x0SUrd1ZvsrfPU2tSkhk1u3urieCfZ+9ZUjGXQfL+8wNwUDkkjGePSm9Hdnn4eM44eVOE Wr6avZ76a2u9lZ3t8yp4g1Jv+EeuG0eZPPkDs6x5O+MceYoZc9MjcP7vXioqTfI3Hc3wGHX1qKxK 0Vt+jevK7P52ffYzpdN1u18KRmXThM8kQluLhMmRkP3FU9myecc4NKMakYK+/U6o4jCVMa1GdknZ J7XW7fddr6XOi0Ntem02OKW4QSWYWKCG3Ygt8hyZTg44ZcZHUe9a+893/XmeVjVgo1XKK0ndtv1+ ztfVO+uxreEvtFrpcs11ZyrLPPuBEIDsCM5OMZGSf/rdKpKxw5ryVKyjTkrJd9NNNDoPtBigErrM /mHKosWWXIzggdPqattdEeZyKUuVWVvMnRt8avtZdwzhhgj60jJqzsMuLaG7jEcyllDq4AYjlTkd PcVUJyg7xKhOUHeLJakgKACgAoAKACgAoAKACgAoAKAKd7qVtYlEmmRJZVYxKxxvKjJFK/Q3o4ep Wu4q6Vr+VznBqieINKW2uhDHI7rxdxhUkzyAnJ5AweR3FJ66M9Z4WWDrc9O7ST+F3a9dtGX9U0mB LTctxcJEJjIwjdidxGFAx0AIX2GKb0RzYbFTc7OKbtbW23Xfq1fzZzZ0i78R2llq17DcJqbRxlXg dQsceSTtGeSeMjPf8KyUFOzmtfI9b63TwU54ai17O73T1fnpp5ehtz+I4bLU4rY6pCy7HWQSRsMS LheCBgcgk81XMk9zzoZdOrSc/ZvdWs1s9er7bGZqHga68RaUn9qzWqag7iR7iJCx+7jaM446VM6P tI2nudmHzungqz+rpuCVkm/Pd+Y1fDuu2c1msKxNbqqQzEbZXO1vv/NgYPXByV7VdmrLoN5hg6kZ uV+bVrdLVbaX9Ol+omteFLm38RW+rafC0jNKQcSMxjPL7+2AcFcZx8wqZU/eTQ8HmlOeFlh6ztp2 Sv0t18ne3Qhm8N69awJ9jvpme4uFlW3kXKKoAJDttJVs8A5PQVPJNbM0hmODqSftYK0U1db37pXV 11asVNQ07Up72S8tLO7V4kjaSykZ2kuNjfKxfkA5AIGc4zmqkmnzLX9TfD4ihGmqVSas27SVrRut Vbd6fLYqaxp17rViZJQ0eo2UJWVBPlYIzyNxxvLY7YPelKHNG+zXmb4TEUcLUtHWE3ppq35fZsZe iaTLYWMtrYPbXl9eMyGSGZNoh284Y/dyeOQK56NPlTUdWzsxuLjWqKpWTjCFnZp/Fft1t5M0HtL9 7CxvJbefSxasio+0FWYMxOR6A9K3Suk3pY5Y1aKqTpRkqnNf12Wz8+pvQ6LqGoGXV9W1Ewz2pCW/ lKI1wwBJZRkgksR69+9Plbd5M8yeMoUUsNh6d1LV31el1o9E9F6dDY1fxV/ZwusqptEj2C7TLCOX ptcY49iM10Qg5Xd0kjhwmV+25dfeb+F9V3X6otWen2mq6XCbq0juD5QZJWACtuO7AI56gZOBms7K Wj1RhVr1MNWapycddV6adfXTUwtPuTfTX2nazZSXVxbvtQXUimNnA3YG1flXgHLdsetRB814tfee lXp+yjCthp8sZLWyd0tur1fp5lDS9JbXNYv7mznsk023xbwxLGRFIwHzEqCM45wT65pRTcnbZHVi sUsJQhTqqTqS1bvqk9tbdeqNuC5jk047NNA0NGkilCvuDqM5dR128D0OT+NbNd9jzZ05Rq61P3zs 1paz7Pz/AEMV9FE8trrNpL5GrZaV0jO6aU55jxwCAp6/TNYyprmU+v8AWh6SxnIpYWor0tlfSK/v erfQaE1mXxtDdBLtbWLePKSIOZFwu9SxIHJ9CQO1Fpe0vfQHLCxy907rmdtb2tvZ2V3t317nX2Om 6focl9dQy+TFwuyQ7I4++B25LdRWqilseFXxFbFqFOSu+61b6fkh8cVreiPW7S4iSXYd8isTG/GD npkDB9KN9SZSqUm8LUi2u3VddN9zRtHkkEjNPDMm8hGjGMc9DyeR0pnJVjGNkk0/Ms0GQUARxNIy kyxhG3EABt2Rng9KCpKKfuu5JQSFABQAUAFABQAUAFABQAUAFAFe8srbULZ7e6iWSNwVIPXn0PUU mr6M1o1qlGanTdmjL1LwlpeqrtuFn24XKpMQMgYBx6471MqcZKzO3D5riMO7wtf0XXp6eRp2mn21 lbtBBHtiYlmUsWyT161djjq16lWSnN6oZb6XbWrwtEHUQhxGob5VDYyMenHFFiqmJqVE1Lra/wAi dowZF/dIV5yx6g0jJS0epLTIGRRJCmyNQq5JwPUnJ/U0FSk5O8h9BIUAFAHIeLfDyLp11qemfaIt QVXJMUzDfu6gqcg/p9aTuovlPeyrHt1Y0K9nB23S0ttrpY8t07RZNK1aza5mZrKRkW6mhwyJu/hL YIBBPOe9cFOk6Uk3sz7PEYyOIozUF76vyp7u3W11v0t0PWdOuIrrRzbxpBc6WqYcjhgu3ONoyC2f p1HWu9K/unw+Ipyp1+dtxqdO179+1ilqevS2Ph2K800C9ldzDgRqFVzjb5gH8Q4HBHNJp8ja1sb4 bAxq4p06/upK+7vbrbye/XQL8alrKyWeqBdP0kqJJJJkXdKSRhDzhQD+J4rN80tHt/Wg6HsMLapQ 9+pskm9NNX3enyIINR1XR9Da1szZyQfP9ju5bhdqgH7jDPOORkGj3oqy+RpPD4bE4hVKt09OaKT1 816+aPO9BtNX1/xdeI8j+fOrtMQxC7HHUH0AIIHfAFcuH9q67c/6ufWY6thcHgYNLSNrbXuv16Pt udpZ3mreGp7e3v8ARbd7UbxCsARBwMFxnkZB5yTxXYlJbRPnatHDY6Mp0ar5tL3u9+n4aWW5vaY2 p3dq0N5Yy2tksbHbHtk81G5VRwCMZPYdBzVK71aPMxMcPTnz05qU7re6s1u3q9/U6IWMQJ+zyGOY MC8gwzHpkHIOMgCqPL9tL7auu2y/DsVRDFpUtqi3FupfMSifCvIxbccEd+vGOtGxtzyxCk3F6a6b JJWWn63MfU411PxXa6HLHcyWHlyXNwrMdrtkbQSeqg9h3+lJxk+mh3YaToYOWKi0p3UV3S1v8/Xo LZC0stVuNFjuSJrIPdr5yqEMcmcoT6A8k0tE7X8/zCt7WrRjipR0naOl73jbX1fY6Wyt4bazjjgj ijTGdsX3cnk4qjyK1SVSblNtvz3LFBkFABQAUAFABQAUAFABQAUAFABQAUAFADUdZF3IwZfUHNA2 mnZjqBBQAUAFABQAUAFABQAUAQ3VrBe27W9zEssL/eRxkH60GlKrOlJTpuzRlN4Q0BvtWNLt0+0p skEa7RjGOAOB07VDpQd9NztWbY1cv7xvl1V9S/FpVnAsaQwhEQk7FJCsSMfMOh/GrWjujlnias23 J3b/AK07FsqpGCox1xigxuzE8T6bealZLFb6ilnAvzTMw64II5/Cpkm1oejluIpUKnNOHM+hyniX VfK0LTzcD7TI0uwptVogy/KwK4BJOc4A61E37uup7WW4XmxFTk91JX63s9VZ7aepU8J6u1npup3N paw24uJ3McVxMFWFFwPmzzgZwAPXtU0WuVytby9DozXCKrVpwqScuVK7S1bfbprvc7myuLTUQbRI IFNsiPGFYYGc4IA5Ucd8ZGeK2a1sfNVqdWi/aNv3m0/lvq9GylHp9z5Utu8F2JZ0wbhbkb4juPy5 BB28lgM9DinJuW50SxFO6mmrRe3Lo9N9dL9Hp5lvTra42NeTzPaklfMU4+cLwS25Qecdc9KEY4ip C/sorm7eV+1nYh8R6bLrelx6el7bRSs4mMrDJVQeGUZ65xzU1EpaLQ0y7ERwtZ1nBtbW830ZU0TQ tR0/UTdapqD6hdlGSGeOIL8mM4c49emTjiiCko2k7m+Nx1CtS9nh4ckdG023r5fqW30KTUJ7bUp4 o7fUIRsyQshkjIGVfjHr0qnrbyMFjY0YyoQblB69VZ91+G5csLbVIr9pLh7ZLQxKkdtDnEeB24Ge /YcAUkc9eph5U1GCble7b6mrTOIKACgAoAKACgAoAKACgAoAKACgAPSgDIsdUvpori51DTjYW8Wc Bn3uwH8WAOnXjrUpvdqx3V8NRjKMKM+dvysvTUs/brUwpHbSIHmD+SANoJGSe3FNsx9jUUm5rRWv 8zB0++1ia4nnnhXyYVQRSy3IWFzlgWBVeeMdR17CpjJts9PEUMLGMYRervdKPvLZpWb7326EtxrN raarZ2U0V7bXd7dKGMfKFgOm48FTjtzz2pSmoySfUing6lSjOrFxlGEeu9vTuvP8TpFeOZTsZXXJ U7TnnuK0PJacXqrGbeP517b2Ygv1RJFcyw/LHxzhj3HHSpersddGPJTlUvHVPR6v5LuatUcQUAFA BQAUAFABQAUAFACEAggjINAGNd6UYIZHtYEmIfdFDsULEcckDjcc88n8qVj0KWK5pJTdtNXd6+Xk vRGLcSNot3LYPAXjluBcW0MKqFkTA3KfTDEEk5zipemiPQhFYqCrKVmlaTd9H0a76bWtY0LK70z+ 0by+jt7KGYnZHOLgA3HXqMDHI6896aV3exy1qWI9lClKUmt2rfD/AF8jQt7+Jtems1RBIbdJXZR1 OSMZ78U+pyzoSWGVR7Xa/pCalqEWl2kmpXqrGiERtvlONm7qBjk+2PahuyuPDUJYiaoUtW9dutvy 8zPhv18WWjRQWN1Dp8hKNcSqEMic/dB56gc1KlzbHVOg8umpTmnNa2V3Z+fQ37W2is7WK2gXbFGo VRnOB9TVnl1akqs3Oe7JqCAoAKACgAoAKACgAoAKACgAoAKACgAoAgkhkmhniaXaJAQrIMFQR/Og 0jOMZRklsBgdLMQW8vlsqhVdhvxj1z1oWgc6dTnmr/gY914aEtzeXdve3VtdTHcjxzvgELgZXO0j 2xUci3R30sxcYQpzgpRXRpd++/4kiWt8bGLT5oYJovKkSaSZF2swA2naD0Jz+VOztYl1KPtHWi2n dNJN3XfXuhthpsMr+RfaZEz2XlrBcyfvDJgZ3KWyRg570krvVbDr4icVzUqjtO90tLeTtZbCwwt4 Z0q6Z7trpWmLwrOQp3Ofu7u/J/WnFcq3Cc1j60Uo8ulnbXbrb0NtSSoLDBI5HpVHnPfQWgQUAFAB QAUAFABQAUAFABQAUAcl4o0qG30NndpbiFZFec3VwW+QHO0bj3OB+XpUtJrU9zLMVKeISVk2mlyr q9L6LotR8FtpErafpj6PAbYpugmYjA28qFY8scMeh/vUtNEkTOrio+0rqq+bqvXR3Wy26+RK+naX e3d5qVnGba+RVijuiMA/LxtzkYOdvHPFNRi5c1tSI4nEUoQoVHzQd2189b/mcxp/gptQ8i11DxLe XeFjupbWQMysR6Fuo5x+NZxhNKzk3/V/6seziM5VHmqUcPGO8U1a/wBy6npaqqIERQqqMAAcAVsf INtu7FoEFABQAyISqhErqzZPKjHHagqTi37qH0EhQAUAFABQAUAFABQAgIYZBBHTigGrDVkjmVwk itglW2tnB9PrRuU4yja6HIuxFUEnAxknJoQm7u4tAgoAKAGTRRzwvDKoaN1Ksp7g9RQVCThJSjui CDTbW3ljliixJHCIFbJJ2DoD60rI1niKk4uMno3f5iWxvZLm6F5DbrArj7PsYszDuWyODnsKeoVF SjGPs279f+AW6DAKACgAoAKACgAoAKACgAoAKACgAIyMGgDL1RdQVQLG1gnYjERkAUQNg/MTnJHO OBkfjSd+h24V0G/3sml1t9pdv+HM+fQdUufDwsZtWMl0zxOZ5FB8sqwLbcAZ5HGanlfLa50wx2Hh ivaxp2ik1ZdbppX/AFsa+l2l1ZWfk3l817LvY+cyBDgngYHpVJNLVnDiqtOrU5qUOVdr3LtM5woA KACgAoAKACgAoAKACgAoAKACgBqRpGpVEVQSWIAxyTkn8zQNycndsradptppkDxWcYRHkaRuc5Zj knNJRUdjbEYirXkpVXdpJfJFumYBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFADIoYoIxHDGsaDoqjAoKlOU3zSd2PoJCgAoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA KACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAKAP//Z