MIME-Version: 1.0 Content-Disposition: inline; filename="document.html" Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable Content-Location: document.html </title= ><style type=3D"text/css">@page Section_1 { size:595.3pt 841.9pt; margin:12= 7.6pt 73.3pt 70.9pt 85.05pt }div.Section_1 { page:Section_1 }body { line-he= ight:108%; font-family:Calibri; font-size:11pt }h1, p { margin:0pt 0pt 8pt = }li, table { margin-top:0pt; margin-bottom:8pt }h1 { margin-top:12pt; margi= n-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; line-height:= 108%; font-family:'Calibri Light'; font-size:16pt; font-weight:normal; colo= r:#2e74b5 }.BalloonText { margin-bottom:0pt; line-height:normal; font-famil= y:'Segoe UI'; font-size:9pt }.Bibliography { margin-left:36pt; margin-botto= m:0pt; text-indent:-36pt; line-height:200%; font-size:11pt }.BodyText { mar= gin-bottom:0pt; line-height:normal; widows:0; orphans:0; font-family:'Times= New Roman'; font-size:12pt }.CommentSubject { margin-bottom:8pt; line-heig= ht:normal; font-size:10pt; font-weight:bold }.CommentText { margin-bottom:8= pt; line-height:normal; font-size:10pt }.Default { margin-bottom:0pt; line-= height:normal; font-family:'Times New Roman'; font-size:12pt; color:#000000= }.EndnoteText { margin-bottom:0pt; line-height:normal; font-size:10pt }.Fo= oter { margin-bottom:0pt; line-height:normal; font-size:11pt }.FootnoteText= { margin-bottom:0pt; text-align:justify; line-height:normal; font-family:A= rial; font-size:10pt }.Header { margin-bottom:0pt; line-height:normal; font= -size:11pt }.ListParagraph { margin-left:36pt; margin-bottom:8pt; line-heig= ht:108%; font-size:11pt }.NoSpacing { margin-bottom:0pt; line-height:normal= ; font-size:11pt }.NormalWeb { margin-top:5pt; margin-bottom:5pt; line-heig= ht:normal; font-family:'Times New Roman'; font-size:12pt }.Title { margin-b= ottom:0pt; text-align:center; line-height:normal; font-family:Verdana; font= -size:14pt }.paragraph { margin-top:5pt; margin-bottom:5pt; line-height:nor= mal; font-family:'Times New Roman'; font-size:12pt }.pdq2pgselectionanchorc= ontainer { margin-top:5pt; margin-bottom:5pt; line-height:normal; font-fami= ly:'Times New Roman'; font-size:12pt }span.AsuntodelcomentarioCar { font-si= ze:10pt; font-weight:bold }span.CommentReference { font-size:8pt }span.Emph= asis { font-style:italic }span.EndnoteReference { vertical-align:super }spa= n.FollowedHyperlink { text-decoration:underline; color:#954f72 }span.Footno= teReference { vertical-align:super }span.Hyperlink { text-decoration:underl= ine; color:#0563c1 }span.Mencinsinresolver1 { color:#605e5c; background-col= or:#e1dfdd }span.Mencinsinresolver2 { color:#605e5c; background-color:#e1df= dd }span.Strong { font-weight:bold }span.TextocomentarioCar { font-size:10p= t }span.TextodegloboCar { font-family:'Segoe UI'; font-size:9pt }span.Texto= independienteCar { font-family:'Times New Roman'; font-size:12pt }span.Text= onotaalfinalCar { font-size:10pt }span.TextonotapieCar { font-family:Arial;= font-size:10pt }span.Ttulo1Car { font-family:'Calibri Light'; font-size:16= pt; color:#2e74b5 }span.TtuloCar0 { font-family:Verdana; font-size:14pt }sp= an.UnresolvedMention { color:#605e5c; background-color:#e1dfdd }</style></h= ead><body><div class=3D"Section_1"><div style=3D"clear:both"><p class=3D"He= ader"><span style=3D"height:0pt; display:block; position:absolute; z-index:= -65537"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAx0AAARkC= AYAAAAXE3kUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzs= vXmYZFd55vn7zrk3IreqzNqrpFpVkmrVjlYkJCMaMBg8BoRtembA3Xg3Hvdju+0x9My0Z7rb2OP= 20qYxtPsZL3ihTbPYYKBZhBBa0b5vJZX2Uu1rZkbEPeebP865S0RGZGXWmpTi5RGVmXHvuSfOPc= u3vh/00UcfffTRRx999NFHH32cRAjApp/6e+38QONfzJRPpoeXaR6m8YH5LycIM21Kp+nbdO229= fsEQuMg6zH0bTrM9p0V/an0I+9bFaImjoMtLpTyTkBRyX+m+FcFFEXFg2SogPgE4y2JNyTeoKI0= DWTW40VBFKNKPTOIN6gYnBg8gsmfJ67y7C7fp8t3OBnofI4AxhsExYvixYP4OJ8M1gtWBdSgGJx= RnFF8HCdBsQrWG4yGvzlDHNtj79dpRWWCT9uvE7gvHA1FP45n8Z2E/raNz7H2rdKv2XQxzN3ysR= 7CelRBpdzfjYJBUFUk77NU3nH8UUTwKF4VsZZkoEZSS1Ej+PxCY5Bp5kTvFd77O5Q98bO4s8fzt= bqPTfPMkzB1Z3y2VcaveHf5O5jh+XUKl94xo/3dnkho2xiGMfNHHbuZnt1Gw74ebjL5E+Nfym8l= 6uNf8ut9/MTH/imodj3jZ7vfi+Qt+3judJ8DnV9PK1+6+O5GQARB0Pj9Zrr2zLSfTu3QyTjX2tZ= P/Flk+hfrpdv3m/7blA/paFt9Mc4iYS6qOrx6VP2U/fGo+02XD6vyLD3GsdtcVkx8YjmHi/7I1N= 1Zi9mr4T5jMDZBjOHhv/5ZSbr1dy7JKn2cbuSTyqDiUQRRVyzIcqr43qJBnHuigmLjlCRO4PCfK= CC+/D3/G2Hz1/wZR9kI5gpUNCpaGoUVg5F4Zgh4zResqyhl8d5iDWo81PoL8vWCOaUodoFQLvM2= IW3KfhD+FpQREGswicWY9kPZxwPsB2NV9/F6gaqesKOmEPKOQ2HKz4Npn5Ovtxm3WRyws7unQzI= VyU/02RkH5iqOpmyc+Adqsa9WHz13xrJTsZjeQFRCUBFMx3h2VTp+0FBY1ebOWzpDECwtQejNtf= rcSiPlNdJtQgrGBw1ZopckSNwmKhcQ7Pw+6tDBGmQ0thctTYWiIRlilOBrsSfWNXSCoYCaYD3yh= XXY4JRS8aAcUxVFTal4CIIXwUm8/iTa9/roYzYolrrmgtlUAST8EP7xUdSy1mKTBGNN5WSVQlDy= UnpOj3ema0XAe72smjm8HZ7RmK2HSykn5bHYF+QowmjnejyRRgwhnOG+iDQI61dEQHJj2ewNCLl= k0b5ee/e7m3I1W4WrW5vFk4/SzrEoa1Mf2PkMQaLXIHg5dE5b/zVqSVJ5T9o2NoKIATGIGKQis5= 0RSkcOlb7icWJR3QZiGAUelerWF5QE0emO+uieU4mKhLR5Rqa8srwZlcLSr+Kj9yC/wAAGmYunr= WgcpxiSIRK/kuA1us6LbusUT0bxm0jcd6QvVPRxSlANF9HC1zaL+ztCRhUwxmCSBJNYxJigiJ8C= S97xWJb76ONkYnYCcmlpPr2e0FIWKE76qHRoEZ52alZcN2/E8Soevdo+FWMuHdqkqrYL8Sflmcc= yXhW5r+sOHuW/PLqlopTmOKOUjj5OBsp4a+mcZGVwYNsklIo5R6KykSseioTrhRBNKiEWVGMMch= 6OlD9bY3CVShl7mj+kDL+aa9CKgpTH6uaflUFlnf0ux0qKsZLCtnX8sel99DEbzETh6Lb2ggASl= G2MQRKLWINEL4dHO5ToubeC++jj1GHqWdZp9S/CGk+DzlHYAAtPjRQKh57gUKQyTuLYUIR5nkgP= T4dwnitZ1TP9+B8SDJGqJ1/J6b339npumdhUvJ/CuNTtu+f5PcHTUc7mM9DT0ceJRxCETfy5FPh= DiKmP80iKrUna/r8iROf/iqD4IkzLEy36bYJ6fJoYFBv8KyqouOAVaCMkmFPBjxHRqxO/j2jVNk= SpfOXuyYpLuhg7tRSuktwu3Hfj9XFKMb3rOD/g80O53b0ej5mYy1EqHHkCrVTa0Dm4hvvo41Sia= qJiihFPtSMBeIbC/omy/ivE8J/8jIrm+SKs6rgfcdwKRxUn6nv3bH+K4HGcvVYq3qL476k476s5= JL0ed9Sv1nGBSFA2YohVUNLKXL6+0tHHNBBEpRLCJAUnAYCKiYpHJTm08HKUFvpwf/W+9pjGPEY= 0D0mCkHSee0iK7TgqHiUT1ByFxnhG9TEKNiaDaxgLowZTeDR8WKOaK2AlIYQU1/TRx6mHSBlUWb= WOVa2ybaEIVYUjWkGTJMHYGFZVKByUDeRtzOH45T5eHyjEyJM6FdsV9e5ojxyohiwey2lwosKF2= m4TiftD+3PO1GV8spUY8pCqPJ9DchazU4fZfcce1t5KLgemO5NXX+nooycicy0mKh4+hkSVen7c= BlWj4uErrmIfk8fzhHCN3gtfWkfIE6UDtaxKnpgkkb0q95LE/A0Mxoek8rkebmR8TJhVLRQOH5P= Ew6jk+SimSNY3bRZfVwSo9c3AfcwVzETZl+jRRAwmhlUVZoXoGS3zRnJyiD76OH0ovAnx92PZcX= utDc3nfEduXhEy1Ybu55pqyJvUDkWkaKuH52MmSdfT0wJPNXxpHqPfK6+iWyuzGFClDAE6Vvp/Z= ilEzySRfKryNkN63BmgVCw1RoK0j1nuRa6yBPYao8Je2/FuZ0S4NA0t+JQLO+aFVzAmz+EwICFa= w3eMXV/p6GMa5JZLBwimUDxySPulYiqJ0dWEI18IGhIXiVYUj6CIaKGw5NegZYJ6CFEq3XShLR9= F+LkltATvkCmUL28yEI9VogLly/iTvN5JsdKDlUMlp8o9nmOwjz6ODdPVpGi7rpPBKh54YgySGL= AGTCVni4qVND7Atznf++hjbuBk1efq/UBfcbXkq29mxrVuTHJFs13yHI7Fct/rGaczuf1oORynw= kNxojCVseo0JPEco9dZC9toCIsv3kuXKdlV6eh7u/uAPHcjFiUyBnxuqSlpL1XDr8FKJIVhXiNL= kxFT0KupBqumkcDiVNSyINb9cB4jBivBs6LqQVwosucV9R5jFSOC83NO12iD5J4MAaMmho7ldMD= R26PB+mVzZU21zN8wHo+LFIQGo8nc/sJ9nBDMhUOyMAhU9N1O65jEZFLvfWleyGO8jWCswaZpEV= bVbqzQgpWtjz5OB9qtyFrIO6d27Uk8RrWNNqTMcarkdXTYnrqyGU7zN9WpGlSRVxWfXb2htLyXz= EP5z9Lh5ajuWT0DxmZiZT8GzKouCb23nDbSjBluS1K5cCb9mE5BCmFVvi2/s7PtIv9N2idA17lQ= /Tx/vnb8XoTQVuR9LUS4qTd2az4f1GJeCibS5JZJ5O21Xfqejj6OAo+XoBSYJMG7PAQqTCpjLC3= XKi0gHXGfOb1uWUzVIyZoKUFhUcTGBZWbQn3w1YUWHcZUhHUV1CvGBGarOa8c53kpYkFdUOTyMD= UxkRZYUa/lige8Kk4cmFj52evcpAfu44zDjJaUljz9pccyOvCMwViLSWxBF11tdzZLtq3tkyC09= PH6w5Q5FCWsNk/AqexPW7BKZZVUD7dOpWMW7fcUiNvibrStF233t3VUuoZVURVc5/AxdSK3j+rX= nImxqLc3Kgo9BQto+z1dHyqlID/dU6d9JYXM1tlCNXz+aKh6ucsEcsTEIHmmzKt+RfI+ekKJcU6= iePVgLD56I8okUEP4qLTWFwmmYqIGX2W18oEWLs+YlhAkJQjGpJAp3kVuKwExHocPeUkSYsMdFQ= lnjsKLL5duhb0h93hoESwmOBeKJ+bZHqqhFoomWQhN8f28jtcLTreXY6YIclolxlhjGUBjsInFp= LYttvhYn9Hmcemjj5OINsFRC9LGabfe2U1NqfgXoiimnSJZZ2hyh5Y0jXDbTaidXWLwzKBdr+6f= UTPB1PdRLQR4POaZY+rM9E/oLB5SvbW4Boq4+dzDUcg6nc2FWdP3dPTRExpDJTAG7xWnLvDtGwt= qcJnHu4zE2oK7OncP5smhOauuSAirMpKgeEww8tNCaWQZRgwDNg20fCYI7Go8kijNVgMjhiS1IS= RJLc1Wk0QM1sw9iSSv4F4mEMbQE0xQJiSGpKjgvCeRFCtJSLryHsRjEgHryFwT5xXTT7ft4zSgp= 9ASDyxjckU5/FmMxaQJklicxjCRY0zY6IswfZxqCO2x5TOJAizCVrpc117LoVogd5rE8zyPcUpj= UrC/9crfmGmCeUfDU75DoYD1DEfKv1/FWt5dG2m/73R7LE+oBWPqWHfbLwtK8YpSmIdKee8LuvG= yzS6DM8sBm8k4H81DkssvUo21yr0rxTAW8XYYsW3V6XvpLH2lo49p4X1gJRAbczpUaLZaWEzMRX= AEQipFIvuUSLDgexc9JBq1YAhhQoA3ijcC1pLYGsZY1DlEFRGP945WliFYSBKc92RZE7BkXqjVh= xB1qHdFoZq5hPbq6fkRIkX0br4orQ0J59rKMGqxIjgnZN4hJNEa5jtc7330cQow3bqKiX9etSz2= Z0MhQKyNOWC+I5ejR1P9ad1HH5FSQXsLnjNWIkq05wN0R69Pinv61q6TiqkJ5HMfnV41EcEYU4T= bUsy9qZOnr3T0MQ1iyBPgWsGjYY0BdYh3JDhq1uCzFlYcBo+qw7sM1JMagzUJEDwl3jmsNZE6U2= ipgKth0jqu5VE3iTVKYgKDk0FoGYOqiXkgHu+V2sAQWeYxGkoHzjXkzFNaqBcUFdnBRKq9YEEwK= MY5UqNYzVAFK0LNJrQcCEmgH8b1pbM+5hZEikRysYIkCSaxYELVcS9HL2LWFjnSl2/6OInotn0W= QnlHLiKFx3r6tqrhf93oXTspcqVyb3W+50SFU2P4p1rBVeiZ39fL2j4du1U3dGOva/ewdFq8qab= Bz6j94r4z6FjrTBbvPea+rMlRoEPZLAZmNiFy0lVpzeepHGW8e4ezRqOpxFyPIrzdFAUAkUpNtQ= ohQecY9JWOPnpDCfkEErwaFvDNJjULifGIa5CgGDJWLl/M4kWjzBsZYniwjjGCd66YlJDnfGSYx= NLykIll94EGt9/7HKKQ0KQmTUQzvPfUk0FUUzINO7qRyJTlPd45RPyclFLaozNz34YHtUGRwwAW= ox6DR3wDK02sZuAVlQRhANdKEFsvhLg++ji16B3Tmx8kLuZyGGtDLoc1xcGkIm3Ls0hX1akHW1/= h6ONUY27kT0VFoi2RuEsuB9XE7+njmI5GIzvTXvVqd/qV2l/F9FA2yr+VRQAL1qpu4XTx2hOJo0= bA9fiwSAqPm7jEkCqR/L9q6YJ2D0gn+kpHHz0hCBppwq0xiHcYzbBeSU3G8KCwavkCzlkzyrqVy= 1myaJTReSOMDA1hrcFlWeFiE2ycrxliLC1VvLE8vm0X99z5BMYaNpy7grH5IDRRhEyHuP/xXYw3= ovvRZIgIXjOSvJDgXDg3OiAAGjw6IeSsLGYYYoZtjO0F45vUzCTnr13EorF68HyYGpmv88CjL3G= 4MYmStFdy7qOPU4FYzLKr5TQ/vmL1cWMtJoZVqQSyh2lFkx7yVB99nAocr8KhMnUO5yRQs0vJ7k= winv7y2ZwCc4F+u49OVPxWlYKAJ2v/6zZPZ99IdYPOfzDF7yKCHC23tuKx6ysdpxNyNNWzdFZNv= fEkyNu9+qGKOgXNGEgE6yYYHbBsXL+C667cxLVXr2G4bkkqQURhoqdtVH/qILEJmQ9Uui3g4B5l= mBZpUuOt123lnLWjWHGITTg8aZk4cifPPL+f8ckJ1GeIARvDvEJS+YkehONHWWlcEULYWV5gMZi= BE0QVo55Em6xYPMhb3rSZTecvJzFgTI3JpmX8yDd54tm9jGceMfYkbk199DE7aKyzIxLyOKy1iA= nud58rJZEEfiazdgY5qH30cULQWY172ms7fq/O0c5k3WrSee92O8Ne2hWPIj9RpqoXxe+zSIaeS= aXto7VXJI33+lz1jAqRmjkqws3RrhQpQqqokAWU7+TkDWCvpPKZeMTaPqt4N1RLLwfR0zG9LFYq= 1n2l4xiRxzweLUYOCJVGO+AJQnP7Sm6P7wtksr5gu0DLvICQDUCkYy3dskZNW7xnHpfqiz4Eetp= qXGmoGVEmO+dPDxPMBjpbHOIcic0YsE0uOHcdP/rOq7hkyyISwMb/pC1GtjpIQKLgM2rG4HwQou= tGqSewcGyYDWsH2XTeaCTWhcyDu+lG/r+/vYWnt72AMRaH5/D4IWqD8ztocfLv2f19lAmtEliA2= 9K8u6OMb/SlXt+Vqlcq7cRxU4uIi+8g3iG+4OPOlY6a8Vx+6WYu27qStSvnhzAzAy3giovPZf+h= J3ju1QPxfefMJ6HiebWnU84NzQU+rbhFZ0Bp0cfrHm1zqW2faLPThVIdSWSrsrEmh1LuHiLB05f= LVWXt0DaIHl2w6aOPU4kTTdOcnzaS52TkAbNa5v2p+vbk3G7nk5oYJz/982YTYtX5XTvJH2abvN= 5HOzpZqwJbVQypm4Xi0t5oTxVw1m1NlwdUbbXbk/LQqqB0hO9ztHyWnhXJ6eFWn4s41TKUl1yY1= 4qQWZ0+7SV8RRTvXWArMpbMhXhnb9KQJK0eoy4UcIybD2SIOBIUsklMoaSkiKnhnEOSGg7I1INo= IIzJHKnWELV48ahk8d9I4aqCKSpl5wlseX2NkL/hY+0MxcQICg0sUTQxOsmlW1bxtjdt5KLzFpA= Gf0ZgnfIufuEkH4gQnmUAGy05kqLex7EAh2O8cYQFdj4iiiXDaoZgaFEjtZDa4CloOk+mUEsHow= Jm4zbuUW3FL2OKzdwARsAJOOdRTKx4bhgwQuZbZN5BZF1wLi4Wa/GqxZhmzoFIIK3VUChEgDRNa= WZZGc8ogjWWVpbFQoY+dNNYxBhUHXjFFJXeM4SMRCAVqIXXiI3zIGs18OpRK7gYP5+Ix0qCekW9= wRoL4nDel9YxNQgJ1gK+ReZaYBKsTfHexUrvPxhr+/WG0x0S0VaNPK+5o3GvkJggXlHIbZpga0k= RVhW8H4Ee21epIDsSassHtv/YNZZ8lsPxeswPmY62tY+ePoOjjteMvHRTDD7d2tXS+BTXE5obFK= PBUKLRTspg2qB4lKEsmGD4mm6PkB7KRq8aHp3X5sJkHhg9JWm8YngTcodm1WI/1cg6HcqxajfdE= SlUjhcnazf102xM3UgFJDL+qXrwLr7/YJjp2k+d7YKeOs9zA3S7cdxEOttK6n9ujxSN7MelMuyr= zccXHuaSLWQfl9deyxWRzu9emWM9PR0/KArH6UR+SJqOzUly4RQtPA0msi8579HoigobkCJRQBU= VMu+xCVgB41vUJOOcc5byz67fwCuvjnPPfdt58ZU9JOlIEHiTBGuCkOxdFpKUC57vLptJ9I6UE7= A9hEvLmVWZ757EwEDNMDZU47IL1nDRxrMZroXNUFQhy0K7EvikfB5dYYPQ72NvrAheQr0KB3hjs= YNDtDBkCB6DJcWo4B20WqE4oDdBmbEmKBs+bnziw1w1NuSd+Dj24gXU4VyG2IQksUEZ8kExa7Vc= 0IUMxTupJSlZlqFOK8U6tWKZEISExCYYDK7lECP4+F69gjMWa5JQbFw9qgbvbVAe1Ed/RVBmjAg= qBu9jPROJvhuN1iZbw4sNypKxYVBxeNfEkJJYg+LJXBYUJRQfKYmtNfhWM7CAGcETKIeDO7S/tu= cq5sK+W/XiUt0bKrz9CsRJHGrQiFRooksayL6V9NSiW5L+6xunfj31zPcozuCKUVKpSBLxs7jOp= vQ8GoPbXIPHgcL6XsmNrPYT2veBPmaOtv1TykHVKAe0v/MexpYyTuEYezAdqopBew/y+hra9oe8= 1RhlkTNWxVicqeQGvZ9/RlQkP9VRI8VzKmwEPmp3ohKs/oW10Bdl4T0G5xUhCVZ4zQprYhGaIAb= 1GZAxUjesX7mEd7/lQi7eupL9+ycZsZ6bbx9n52FlsuVRr9HIbjAmQWJxOS0UHi0Sm/PycqGPUe= uuhB2V14bQLqN5tXANPoVWgw3r1nHeuhWMjQ5Gi0osfBcFfhWhmSm79rbIWi54TYyQoWTekYoFC= VYCh/DiPmiaYfYcVl7Y4RkeaFHzHquWCW+59c5H2LFvP5k1ZBKK6Ul0oQTKXEtigrLkslasB2Iw= PtS3SMTgFTLnAYcRi8FgXEZSUVLUK+JDkrwYidkYinOexJhgffKBST0jUPU6EVSD4pFYwTmPc03= SJCp+PqgpxiexqnuuzoVWvHoyajzxzKs8sX4ZRuqkxuNVmcTyzAu72Xe4iVODzxyCUksMzrUQWr= G6eXBZBXpSgzFhU/CakbmMJAFjBfWBzhixr1NbcB8zRjFPZarhQoOX1hgDSfDgBYWjPEbnwsx63= YVrdRNS+5ij6KRTb/+s+GfK5C3NAFWj2PH3hjZjQrXWwrHYDF7PUbztYevtCApHVbjvMFV3eacn= gonseFFKhp397UwPmFmo2BmV03FCMvVngMJhVbX8tbmr4mtSxeMRbKi0ICbkHHihZgXJJmOSscW= R4FVJE4vPWgzXYcOaxbz12vP5oSvWkRrD8pE6tavXoT7jW/e9wsSeBi3vIo8swcshijeurbcSE5= jzfITS1SbReSZQ4VCI2SIhWQiJ0VEZJmtw8ea1LF+6ILoJ80rb4K2lpfDanoM8uW0Hz788wcSRF= h6Lt4ITxali1aI4TKJkWF56rcG4qzE57rn/kR3seW0fNddCfEJmB7n9+w+xa6JFZlOcQEsdRpXU= WKw6UoREwFiPpCBhCBCvWAWbJGQIhyYmyVyLWlpnaLCOTTyJFbLItKPR4ySEiutelEbmaGSNkEk= hEjw2GrwGXsFYg3dKYjzGKKJZUFzUhXEzYE1CYtPCQ5MrhF49zkFr0vDMczu4875n2b17H6nJyL= yjxRCPb3uJg0cyhISaeAZqlnoikMaii7jgNbMWp8GD5Jzis1bY4Gwz1lWp5NqIFHVC+uijG9o9H= IUDPioc0dhqTajJYYO3ozB2zQFUu/F6meVzZOj7OAqKMGyt/DeLe6dQTZ+IcMxpKmn3MTt0G7Hw= jsq6HN3HumIoqVaD146/nUKIdBL1RCIcKZPIj4Xc5oxSOk4ljMYaET7arrUqzOdO1CDgObVRWI0= v0viYeOPwoojYEOKjkEpGLVU2rFrIW6/ZyDvedB41DS9KgA1rllAfGuBAE5oPPsf+ccdkS8kyRT= MlSS0qrmIqMcHLUcRhdkwSjfUzKj41EcVo7l8zwdPhM0YHEs5bO8rYvDo+ehySxIa8EmDPkUlue= 2Ab//0fbmffwSbNSQVJcCJ4Y7BJCi3FuQYmCaFUDVdDZYyBmmXnjpfgiJJ4B06Q+hAjIwMcbDmc= c1hrSdMEbTWZP2AYrScMWqWeeubNG2Z0/jxEEnzmUe8xSogrT1Ne3rmPXXsOMVD3rFs1nwFCEcI= siO6IGKy14MJ78N4z0Zjg8KSQeeXwpGff4SYTTaHlbfEujQl5E7gGQ1YZXTDIYM0yPJSSJpbUpt= TTAWpJEmQzo3hxZMChIy0ee3QH84eH2L9/J9uyVzG0QihWMoIRR92GkKqF8wc5Z81iRBvUDFjxe= PUh3tKkOITMw+Ej4zQaDZK0xuHDkxw6MsGhI00mvAA1VPtLvo/eyIuUFT9TWtGDnSIcOqH6eBL+= le5hAH2hpY8+AqoKQwhACAQLhTGovHKKJlL9Sy/Fg+O0hvdeq/01fPzQNqWjO6Qw/ZLnRWhu264= aDGf2jnuFbOX9oS3MvjMWsL1XVcUiKBuEiAqp5PvMYu71JZBjQAg9UkJtuqD9haRrX8Q1ewEvFq= SG8wTLtITK0lZCQrQagxGLSoJLhOF6gkzs4rw1i3n3mzfxlmvOZcBDkgXdwccEkrOXzOPDP345i= TT47gPbee2gx5oBRBMMFiceHzMQjEqMusuT0UqFCHJPRdUt5uNm6OPuZrACA4nlrMXzWTTPMlgH= G5URBZxCJvC97z/Dl7/9KC/tazHREAZro4DFicVh0IZnKKljcDSbE6gotWQAa4QViwf4qf/5Kja= vX0QaE+1aAvc9rfz5Z7/Gw0+8gGYpqbVYl7FmdB7XX7GZKy9ay5qVwwwNCj4mrhsJOTHqgxejae= GRp/bxpS/fQpI0+bVfvpF6hfvKxf80Z+CKiWA5R1jTKbfe/TL/+I27eey5vRzMwNtBVA1WhRoZw= zbj3JWLedv1V7Jly2qWLTXU02od8lKgywjsVNue38lvfPRvueHqK3nHW89h3arhPA2eBsLffeFR= bv7uo+zbu4+t5yzmVz5yA8MpWB//C1FtoNDwYEL5Dxww2fI8+2KDb3/vXu6+/xle2tmipUM4n+A= lixS+fftoH1PRy1usgBpBkkCTaxKDmuC97Txz8kTKbpWN++jjdOB050vlAp5qcfp2iaJqj0boZJ= JimvU56/70UFZE2o2Ts8sRku6Z9TPaBSr3nSGbRvBq+RgZkisdWhljX16XC/ld3kc3Rqj8b9Wkd= a2Gt/XsVZmx05X1sqMfIqWcKHlY1SxRfU5f6ThGaEVOD/ldPv+1bYBDzZQMG+s1CA4LNLOMxNRi= 6L8HAwf27eHKTSu46Ye3cuXWsxmQSPpkwtw0uQSrysKBhA/86OWYmuWWe55l555xjB0h81ESrSa= ESUxWp3MziQqT5FF7ke1ATLEY8oVSSw1nL1vEYJqG5G2JFcIjXtsDT2zbw/Ov7iOzw5ihGk2X4D= IQkyK2hhrHeLNFagSxg1GLl5Cb4RukeOoCSQyTyxxINkHqWwwa8F4ZToQrLtvKu952LmtXjDKvX= mMggUSyMO7elApWVNSMwKBtMpRMYq0jFaLS4SrExDFJKi4KQ57gr6Q24ZqLl3P+uW/hi994gq9+= Zxt7Dk0ATYw0WLZogGsvu4AfumoD564cYqhusAmBMtd7DILVqAWZQImbINSBmm9SFx9CxCQkmtu= YfWNcC+ObJLRIJWM4DUxhNaNYie8qUqLYwFeMRu9HPbXhvEGjAAAgAElEQVRsXFVn2bsvYfni+X= zz1ud4fNshMhUk6bLZ9NFHRKdFTSsKB9YgaYJJbKlwVLwg/WnVx1xEKeifPkilDodGL0f3vI4SJ= ioe01uuY/tlUsCM+qNdiB763skTC82JAeJvvd7i0RTibgpit/c9s6yKmcOXIkbc30M+X3t19dm1= 2Vc6jgHFViHEitO+0Fe1YH0KqcjiGgzgMdokwWMRms0Mo4akXqOFoj4LeROJ4x1v3shFG1Ywf6C= G9ZVwh4r2agVUHMsXjPDON22hbg233v0cL712BGQYNI190UKcVskZE9prfRQFvDqjrpCiGIz6UF= 9ixdIxakkSo7AUr4oViwFe2bGPvfsnaWaGhhK4+zXwNwtJMXNNzePUx1RsCz7EOyZiYr2PDBvzX= BIxJN5jncO2moyO1NmycSXve+cm1q0eZahusbEWhY8uTGNymt8AQ1TYvGK8wxiPLTwPpiAszGne= tJLjkh8Iosr8wZT60CiXXnAuL+3IuPPeR1ER0qTFdVds5sY3buCcs8cYTqFucwuVKdykQa+zRa5= P4T51BvFS8azE/xQStSRqMWowEpSn8PZaKC7mECWIJCE5Py5+K4qRjKEapLUhrrtiHUeOtNi16y= n2HMpCCnqf5aaPHijqahRhl9FjYQRjTag8bm30cJSBVf3p1MdcxOn2cNChcPS85ijdLHJBjuJ96= KU49K7FUAoXJe3piczRqvbn9L+LU4WcZCw33OalKI6rzQoTluS1kjoVkiozwHGgGnKfFwA0Emhy= NZ8fba8zKtRMVYKq6Csdx4BcsciHWMSX5GdxMlg8CS0Gk4yzlyxg8bwlLF04yOj8Onv3OyZblgN= HGry29wC79h9gojlJYjNScVForLwwyetclGmdNoZCnb9yIXLV+Vg1fOuO53hlXxMlibka5Vv3BZ= NVoOYtW/ORa1krRQVLTSenwzQW5s8fJLWCyT2oqqHmhjHs23uQw+MtkBqQ4L1gEUzkcQ4xjRmaO= DKfoQiGpFD+bbFRBm8QCEaD4mF9SGRfsWSIG964gfPWLaBmoz9D8qCw4EeSivslV9gCh3SKaoL6= Zlv8rFaE73ypuGJsgrBPJCCzwPrVC9h6/kIefHCSzDk2n7uayy9ezfo1YwwlIeypZPKRQpmp7jd= 5rYPAnJWgXuLTQi2QmPofFrhaVMNscoXKGNL782qg5bwExAQvCB4bCxAtXzzC1vPO5sknD3D3Q9= vxmuKln0zex1Tkc7Wkx9VYgDSPthTEmsjw9noSIfr4QcQc0DdKwa3y+5RysjqD3fi488WnyQmYo= qhIR/2N48WJtsHPbRQKZEcex4lKCA/M9+3+r7xtOQEhrYVRnVB9nELmMEW9pqnmpnbveK/53LM4= 4NxYrKcPheuxmlRTnTBiwrDn1a0NiM8wOOoWRgcTViwcZfWyAc5dfRarli1mzdljLF48xO69cHB= CeeW13bzw8qtsf+lVXnhpF3v3HOLOOx5ntJ5y6aaVLBipI7GYXM56RPH6Q2VSK8KG1UuxJqWVGW= 6+8xl2HWrSdGmblRKx+FAHvahgXoZcUVE48hyV3JujqFFMIqQ1GxOIcu3aoC7sluMTTSYns1BnI= 6nRclKpXxK8Ij4yXmWEEDAto9JCURrK2arxWmMMRpThwYS1qxdyyUVnY2Nxc4nuv8mmZ+/+CfYc= OEzDe1wUnYzm4WOw/fn97DrQYsnCpHiORO+CAuOTLXbsOYzzghUhQRkdrrF4dCh3+IDAogWGVWc= ljI0Ie/Yd5JrLN7Bu5UIGYv6GMYpHaAH7DjWYnAzhVc2JRixeonijOIEXXzuIM6G+RihmWGbexJ= eCAxrOsOug4/4ndlGLniAbdwVFyLzBmpBrNDJcZ/HYCAvnpVjxJDHnZsWShWxafzb3PPAEYsKTX= udLvI8eEM1pM3OzSrR6JYGxSqyJikgeKtKvx9HHmYhuuQkzhU79OTcN50nk0zzplKLj4VXK3Gkv= PK6HnQmnT0Xon/J1ypCqKaPWpnhUw5Sm5m30emovVqvy3VWN1DMd7qnJIKFpU0RtnAj09HSc7sq= 4pwv5wHrvMcZGxcK3lVJBFRMFc1QRY7FG0WySoZqyYkGdreuXc8NVW3nDlsXUjIkx++H24RXQ8s= KmdUtAlrBrz7nce98LfOs7t/Pkk8+GSo8YrrxwJXUrpIkikoWQGkyoAa5JXuQbo7DurAXc9I6tt= JpNbrvvBXYdmKClSUhSVxMqYnuPlxizpR4bK3hLMbFKJcVDqGKuEipWiMemtrB6kis/NoQotZqO= zIFXQ+ZDYr0nVEJvY2KQehCmJbJ5GY/3vqy/kT+b4N1xzqHaYtmyUdafs4x5wzEfI34N5zw7dx7= i27dt4/sPP8X+RkZLLEqCulDEDwz7975GNrmXG645r3QLagxVA3bsOsjnv/ow483gXRlIHRduXM= abrjyXgdQG7078DiNDNVYun8fhg6+wZcMSliwYxMZ50XKKJMK+8QZ3P/wqL+9oICS8+vJO8A4Vh= yQOL54DByZpCDgJLGZVy3F4BxnOeI5kysPP7GfHp+6mLodIdDIoMGpRUjJNsVYwTHL+uqXccM0m= rr5sJUYs+FDtfOH8GiuWDlEzniaOkg+tj7mE073v5uEAYiT6QYORwliLrdcxSRLmpvpyH+grHH2= ciZgSwySllWz6G6dIeaq5HKFdq1WfKmF8JvuLao+cvxMSj3vmhFpJHilRZSAroiZi5XHtETZXhE= RN+dO06D53ujWfG5OnLySZzwfVSIFbrb2heci6BPmxsApTxFt0EyG6z6/ywn5F8g5479ssdyZmb= 3vnogCsWGtDWJEGL0SiIM0GCZNcsWUDb79+A1dsXsKQDTkHNfFRaC1j8GxOOwSctWCQRdeexxUX= reNv/vFO7nvgUb76jcMIl3PN5efiXIvUEkOVwoQ2OY2zRsYlgeVjw/zMB66mXhvglruf4rV9k2R= ap5kJRoawkuDF4VwD9VlgoCni/6J+LBKZt6JHJCYni4k1L3woeW+leg80slZgf7IhtCtJE6Tlio= kaEqoE9QkuUgXbmFLiXQtMGkORcjeeRStekIWjgyxdNC/PBCHv9Z7dh7jrrkf5hy99nUkdYNJYn= EnJvME7YbA+TJZ5XGuCRDRQF1d9fxIyX3btPci3vvcgDR8YpBIdZ/eusxmbN8ylW1cWCe4a6qEz= UIPz157N2HBCzeQLKbhDMuDz/3gft97zHDv2jJO1hCxT0jQFMpQWSiuwn4mJ1dbLTJs88yYkegg= mSWk5wwsv7WbBkOIm9yPqQgV2sUhSJ2s0MDrB+P6XWTA4wXWXrcRW9pt5I7B4scPrBEj9lKylPm= aPubDvFqGTEoQPMTbsFfFAOv097KOPHxyUtKTdV45G2hbT9dOT0J/XqUH5RGPKGFZkolOJ6d/n9= H2a6l3RDkXIVgoKnxicERXJTzSMCTUbfOaCx4Mg8FtrY20Gg/iQRWB8hjQnGTAt3n7jFVx72Wo2= rB1lQS3FRKE5/7cIw8oVEB+UG4Nga5baQsv733kJi0ZrfP+Bp/j8V+/mUBNuuHIdRhI0hkdJTF0= PSdqlt6Mmwmgt5d1v2wzS4nvff5YduyeRZITJLOQqmMSS2gHUGtCsUhxQ8h7G/6KXAolhPspky6= FGC41cCQqIFxgaHsZaS5ZleJPQamTUTO41ciBCktbIWpBKgloFMsQ70jRFXUi0MxhsZJSSIj/Gs= WD+MEsXjgT7vFJku46NDfKmazezefNZOCxOBJd/Dy94tYhR7rjrGR584DHqxpMr8yEXJ/zixZKZ= QSZdHasO5w2TTU+rmVGzQCvDGEtihERhwCYsXL6CwSTFxvHP1/ZkA57a9gov7TzMeJaSOQOSYFy= s7a4WowkJnro6xLQnkWvOWKJhbuAd6CQjNeHizWvYuP4K1q4aZmyeDRYKa/DqsepJgYUjgyTFnC= sbVutxyWSo4/J6LBfbx4wgIjgNeUeIQRKDTRLEWnwMq6rOnm7HUTeqzz76OJU4KYJ1kSvZTYnop= ViUlvDptl0f8/p63H5CMVVQLc//k/XMjh5UBOJTdxadSPKU/F2a3KtAnjyupYdBtWACPUprPQX7= o80b8vD0POSqk7SgSwjWTPuRh9LnFL95pMuMPGaVN1tVqPuJ5NNgatxdgMtaWDwGx4BkLF04yA3= XXMF1l69hzYoR5tUF63xZSCsPLSJY2YvlLSWntTEhT2Hl0vlcf/VGPMJdDz7Ht259kMGacPGWlY= wN14vJbCRwNvm8arhEylsRVi4Z4S3Xno8xwq13Pc+ruxp4UjJJaTkXQqusidGG+UzVjp/jGMT/O= a8cGm/gKlXYi7sFRoYHGKxbDBlWPCatoVkWktCT4JpzLsNSwztFxeHVBfddWivDuyoMc2WitDIw= kDJvuF6EMcViItRqwtJFQ5y1bH4Y31isMe+j85BZeO7pF3nMZKhvFQlyoTSgQTVW9Cah4Q0JipE= UlRSv8RiIvIV5Tn/NJIwOjQR6W18OmffKazsn2XugwZGWkpkUTWtBXfQaWSB8qFquTZxOBkpjqS= 73MGFUg/vWaIsVi0Z583WXcNnWBZy9ZIxFC2oMDYS8Hich8T5BMF6wDiTzxESPIlwuEyUThz+B6= YF9nHnwBC8HuYHFlnkcRzGcnRJ87jev44I1Y8XvzcxzwUe+wpu2LOVX3r2Rc5aPIAKPPH+Ar937= EptWjfGxv7ofgOu2LOV/e/fmyjX7+dq9L7Np1Rg79k3wi+/cAMBky/HRv7yff7rn5eI5H//QZfx= PV64qfv9vtz3Pxz5z/7R9vWbTEn7tPVtZv3wemffc/eRufv4/3znluoXzanzkRzZx1cYlLJ5f5+= Ht+/kXf3QbAH/6S1dz+fmLEYF7n97DT//x7UXbv/qeraxfUbb9c5+4Y9r+/NjVq/mXbz2PlYuHS= Yyw+2CDz922nT/58hPFNZ/6yNVcfv4SROCep3fz0390e3n/Nav5F533f287n6jcf/PvvJ0VCwfb= nvtHX3qcT37lCU4VyrP7VE7Wqc/SmL8xFy25BevRNALvKejF6d9QTgDaRi8PuZpK73RSe9DOoNv= +3KPmiXRRIkLkiSkqkJfMZsc3V06VR+8HBvmAOhc4jKy1GGPaqkmG2MyMxGSsOmuEd7xlMz9y41= Y2rJ7P6ACEGt0+Fgv0eAPegDNE1iLwIvG/kguZSIm6+qwFXHvlRi6/+FwOHxzn699+kAcee429B= 1uomsA+FTm+8xAoEY18SJ7EO85bvZgbrjqfa9+wjqULatRlkrrJsD4D56IXwaCYCnuTFjGrBaNG= XDfOw74D47RcDJnSkBcisRbGooXzmD+SkEgLS5NEsqIChsEjksV6JYpRj/EhCd6KpeV8xQJRTWI= n5oYYrE1IkzT2k0IoJ9bUIGti1ZF4SDykHlJV6iYPxwoFE52W7yCU6GsVv4U4dcFJQkZKi5SMhI= yoFRYWDSERy0Bai8UXKfrVyjw7dh2g4cCJiYFUPgr8QiYSiyUmuKi6apHU3b5JeTWgsGj+AG/Yc= hbvessmLt+6nDXLa8yvKan3pBKY0kKNdIcYFxNeiuEs3PfBZ5fMLHi0j9ctfKTBlbwQoLWB+KEH= wcipFlk++Ae386mvPwPAA8/t44f/7c0A/NZNWxkbqfH/fPYRfvnT9/DYiwf4hXdsbKsn9Fs3XcC= CkRr/7rMP8Suf/j6PV675ky8/waaf/xIf+6v7GUgtv/Kjmxmql3a53/jze/nIp+/mwHiLn//knU= dVOAD+zU9cxOZVo9RTw3A94YcuXM5/+OClbde85eIV/P1v3sBPXr8O55Uv3PEC//GLjwLwJz9/J= ddfsIwv3PE8X7n7Ja7dspRP/uJVoe2fvIjNq9vb/p0PXdazL2uXjvCbN13AumXz+NRXn+Sjf3kf= 84dSfubtG7hm01IAPvELV3H9Bcv5wu3P85W7X+S6Lcv45C9dHe5fNsJvxPs/Xb3/h8v733/d2ik= Kx55DjVOqcMw16JTfdMpe3+vT7ukfJ1qQLU1d3XDyRefTqfScJBSKx7E3UYzKLNuY8fF+lArpwc= pqCi/HzDsw/cd9T0cHcqUja7UqRVDaXVOJFRL1LF00xDVXrOc9776YIYHEeUSzPHYnKhehkJ5Ha= LQcjUYI2ZqYmMAkCcNDAwzV01CQLj7KKqxfOUY9PR/XaPHt2x7l5lufxnjhss3LGBuu4Z0nSQw2= ZpMXSogG11qCsGHtYmppQtbyfPfuZ9l35AhODJkkRbXx3PFXpY0NrE5FJcJQ5dw5du4+SLPl4i4= UzfsSBOOzls5j2cIBhhOHyxpkmSeVNORlxPwNYyziGiEBS0CsCcnXrSaepAznyP0rnkIoJ5LJEl= UrI0Sq2fCzz5pFpr7mClQcfwdIOoCkg3iTxurjgU5WUIwEoV3JSBIbGKGcoamWjJRMwCYh3Es1U= t3GIjlFwcYokGUok66FRu+F8xkOj00HYv+iN0YV46UImNOiTwoSCZF9SPJfu2oxb7ryXNYsgVSD= MocPb4bIRJV/J48nMYFlCN+5ARhEBkK9kL7i0UcPaKCNQ6yNNTkkKq5auNbDYRjV/4pDuNO+fDJ= m2ZGG48Fn9wGw60CDl3aPA7By8RB/f9vzfO72FwC45ZGdPPvqQS5cu6C49+zFw3zutu389+Ka19= j26qG2awCefuUgZy8a5uMfupRf+tO7ir9//f5X+Fc/uplvPbTjqP388FvP49W9E3zsr+7nhguW8= 6Eb15MmhovPWVhcs3nVKL/9zy9hbKTGZ2/dzv/51w8Uny2cV+OazUGY/y9ffYolowO879o1XLVx= CR9510Ze2TvBx/7yfq6/YDkfekto+6J1C7v2BeBtl57F2HCNI42Mv/zWNo40Mj74lnPZsnqMy85= dxJMvHiie9+mvPsmSsQHed+1art64hIXz6ry1ev83O+4/bxG3P76Td1y+kk999Un+4AuPHXV8Tg= bmUq7CVG9LR1Zxl65O2/vTEBKrFdng5D3+DEkur1Qdl1yWzD1dxxLaNRMa5R7oVW2eymhrhaZ2q= pcjymKmu8JRGOC7Eg5M37e+0tEDIgZrgrAdEsZjnof34BrUa02uvPQCbrz2EuqxhgO+EYVNG2hT= vUKS0PBKyzle2XmYZ7fvY7LR4umnn2ThojE2b1zHuWuWMTpoGUzy+gzB47Fq+Sjve/cbUDPCt75= zO9o4RE0u4fKLVzNgk8COgI9Jn0ErbbVapKlFfBBjz1k5xgfedymZV75zx6P4SUtih5n0UWGQso= YH+DJO0eexq6EoTKvlefGVXUw0s1CzIipjnuCxWLYQzl8zypPL5/PsywdpGoNmiorBmJgXkjXBN= 7AmxIZnWbh/oJ7gxReUuoHtSvBBCwlhU87jsuB9UlNhuPKg3uCp02qBx9HysTCiDfS8DYXDkzDZ= DB6b3D8SihaWrFHOBc9U7nkwRrBpmTzrPLkPi5aG5HkfKwBpaBKbWJYuW4L6Vgi/SwZoeqglKa2= Wi+2G8bNQvCcqypJU0gptoqw8e4wLNq3EquJaR0J8vanjvKXR8DQEWkU1daEuEpS8GKZVyZnHt/= qrvo/eyIUMY4PiaqzFx4KboXbH3FVWX9x1hDdfsJy7ntzN1+57FYDP3rqdz966ve2aH4rXfP2+V= 7peA3BkMuNvbnmWD954Lh+8cT1/8a1ts+7PEy8d4M/+x9MA3PvMHq7asJgL1i5goumKa37r/Rey= cF6N+7btbVM4AN5zzRoGaxbnldf2T/La/kkABmqW5QsH+Zd/eFvZ9sbQ9mQz69mf1w6E+4frCX/= 0s1fw4T++neGBhPGG4/bHd/KeN/Z+3k3XruW1/RPF/X/4c1fw0390O8P1eP9jOxmuJ2xds4DLzl= vMTdeuZfvOI3zx9uf5bx1j+3qCxhCbo1UeP12Ym736wUQeUjWFzeqUD3L50M5QqLbcDqZxixR5H= FNxvIp9X/zoQM5eZYyQJAnNZjPGywneeyYnJ5hf97z1TZfw5ivXs3yMssJ1kqDehbAfG6zJLeDh= pw5y5/3bePCx7by66yBKihjBu738j+89z0Xnn807briQSzYtDDkDsS/iYKSectOPbKRmDnPvfU/= wlW/cRaPhuPGN6zEYJErRXgyZWEgNrWaGtUIigFcWDNf5X95/GTb13HHfi7yyexJ8HexALGSXBa= u/5JR+oSgdaogRPjSdZ/fucfbuczSWQVrzqLZwrolJB0lFuP6qTRhj+ewX7+S13eM4bxCTBoXBt= bACxgaFIPOxVocYVA1JarFWY6XwamhXEMKPHD7IwQP7Wbl8KCgAQRHn1R37eejRF3jy2VfJqJMl= NiSFe8U5jzE1lAGeeupZdu05wvp1izAhGgsrdYyNYSRiSGp1fMuhvoXVBoZJxE8Gz0/U0ZxAZmD= cZ7y4exfjmSOTkoC2lgorV9RZtmiEV3ZNciRrkWoKjRaaK2yJkBiPpUlKhtEyqrZIJFQwJqOWwt= AgDAyFitC2NhKIBFR47qV93HLXs7y0+wjU6og4Up1kw9qFvOvGS0itoN7hCRYLi2LFk+XpRKdzo= fUxNyHB4JIrHNgQVuUoFY7qoWriOp0L1e0/+pkH+Dc/fgG/91OX8r437uGTX32K+5/Z3XbNxz5z= Px/78Qv53Z+6jPe9cQ1/+tWnuPeZPV3b+/0vPMamlaP8zNvP53uP7eSZHYemXPN7H7qMN21dxk/= 87nd5/rXDbZ9977Gdbb/nh/j928Lztq4Z48J1wcOyaskwD//JuznSyPjSnS/yH/7+YdYtG4GOdI= Ceel/e9rN7e47PF+94gQ++eT2bV49x3ZZlfPfjP0xihf/3849w7zN7eO81a3o+b/XSYT711Sf5X= 28s77/ld8P9vx/v/9fv28rIYBApFs6rs3BenQvXLuCicxby0b+4r2e/+ui+fo7ZQj5DlNbw7v3p= nw9HQ56dUDEcdnoMTqHW0YuBaso1XYoVFp6LWGBZ6FA6TqC763WldHQ7HCVPHoAieRII7C2Rs1U= E8Bloxrxh4ZKNa7nq0lWsXznCkAXjNbqhbMhBkBA2c7iZces9L3Lb97fx5PN72XWgyWRWQ2wN5z= z4hEPjjtbDrzJxaJzm5KVs3bSY4YEkCIgG6gbStMaN128BlIce3s7Nt95HDcfVl61joBZeYR63j= whJToWrHmtAxbBg3gA/8s+2Yozhu3c/z6t7GrQ0xastvGdGtRAiCsT1pD6hJTW2bT/IuuWjDC5N= sMaEOhfqEG8ZHahx9cXrWDQ2n+dfdDQbQcAN1JsexGEIAowD1KS8vGsf3/nenagOl5ts9BwYSyi= MCBw6NMHevYfaIoa8wvyxYZYuX8DdD73AE89uZ9xneJsEzisHRmqopowfPoi2GoXFKbExp0VDOx= 6NeTyKtYKVSH7rWyQQKJJtTGwXyJxjx669NFwWQujyBH8jDKbCdVds4cj4QzyzfRctZ3GZZUAMS= MhpIcvAZ6HquPhC6Sj4PKLHJ00ttTQhRqKhYvAq7N47zgMPbuPm79zJYTdEhsHgSJjAZKvRGy8J= TGkEj4opKHl9haOsj9cDVNrXdDVOuLofFnHkVgIJgS2NDkzjsp8LCgfAfdv28WP//rv80jvP56Y= 3ruG/fuQqbn5oB7/6X+8prrl/217e+++/wy++cwPve+Ma/stHrp5yTRW//Onv88WP3cBv//OL+c= Dv3zrl81//83thhlHpKxcP8fKecf7vv3sIgLddeja1JAguv//5R7n03IW8/9q1fOCGc3j0hf0M1= 8u9vRPVXBOAlYuGeGnPOL/9tw9O24f/4zP388lfvJolowMsGxsgc8r6FfMgejB6PS//bLr7f/dz= j/Dlu1/i0vULuWLDEq7auIT5Qyk/etVqbn3kNb5278tdWj6TEAjPpRJ2mLMZ6TF4O07quspJbKI= 5vrNn/dNhJijD5lRLTj/NA7BPYZXtY0rurtwTvNimJD+SXKE68ZPwjKlIPlMFTKIQTLEpmLaBVd= EQvuOVlncYA8Z7rDZJTYuF81JuvPYcNqxdwLwBiy1YCgTUBLYkgd2HJrjroRf5+nefZNtLezg4r= kHINwmIDXkCIrRU2HWwyf1P7KbhHqQlF7PlvIUsGE5JJCRhqwpnLZ3PG6/aiDHCQw88w9e/dTeJ= NWzdtJLR0YEyF0MCvW9eaE9E83KCrFuxgDdffR6u5bjlrmfZfaSB92nQbq2JyoULlJm4Yt6FdlM= yNTz0xCtsOm+UpcsWkYrBiiA+5KFYYNn8Yca2DHPuKnCZklWKiGlRWEnxCk4sj2x7mTtuM4EVNq= /unr8fTAg1UmHXniO8tGM/WVHWLoz50GCNNauXcN1VGxmdP8jhZgMnBpWgeHhNUFIeffghDuybw= IgjdydpZd7kyfFiLE4dBkEjJXHufSFWMDcK3mfs2XeAV3dNsnSBJ6mZ4rBJgCsvXM3YsGXH7gOh= tokHW7Tn8erZte8Q//SNh/CiRby85iFRke0sc4L3WrhqXaTQSmuWFctHuXjLao5kA6ipxb41OGf= loqC8+JCb00Y6ZM8MtpAzFcfKod/5VrXzs6h4VAkiNL9JKjlFRrD1Gprk9LjR1U4lh6P6HOn9zN= OFT3zlKT7xlaf4+Icu4V1XrGR0KOXD/+mOjmue5BNfeZLf+dClvOuKVV2vARhvZHz8c4/w8Q9dx= q//2BZ+9wuPHlOf/s1PXEiaGH7v8+X9y8YGIBpPvnjnC3zxzhd4xxtWMjKQcMMFy2m0plJt5nLC= RKMM0frYT15ILTX827955Kj9eMN5i9l1YJL//JUn+IV3bmTJ6ADvv24d339qN43MTbk+f954DNv= qdv9N163j7qd287V7XuaxF/bz2Av7+czNz7J17Rh/+DNXsnLxENdtXdZT6eglXPc607XXBcq0e9= tshPgpTXe9t1oyWEtqUyUWhiurUXfddWe9SKRL3yqhNIV1oPsYTK2NLYWBb8qTuv6RWBCv/LDbn= nM8a1+mDPSJPqtKb8BUdP5Nevxchk5JLlApciYAACAASURBVP9phXYznuF5aF15a2X/7Ng4u86v= Lt6mnmuihyFoirGJyqJW2hiptGALNfFMkC43z6w/0+GM8HTMWOGo6KL5X/J/w2LKuU89mODtMJH= jKVHHvJqy+ZyFXLJ5CYvm1YqifNWpocCu/RPc8/jLfPnbj/H487to+AQvCWpClW6vrSjQB4GyRc= q+huWuR15mYGQIz3q2nreEBSNJwbxkEM5ZtQhrNoDz3HH7I3zjuw+TibBl09mMzR8oQrOque8SU= 8Lzonqb1y1lcqLJ7t2Huf3Bl2npIM5bxNjCUgOKxpLfAogXjCQ0m8ITz+3g8e0LWXH2EEvHBqkj= JGjbMwctrFiQCzO2Mjq28FSoKhnCrl2h/jqaVFyRPiq+glcHYtm9r8EzLxxgx54WKxalMdk9eKY= WzB/kjZev55xVS2hkDhc9Aio25HeYhHm1QzzwwAEMTYDASCVlhc/Cy6AhdEnjqEk09Uqs3C7RI+= SdZ6LheeypnZy9dJSRZSPBlqVBqVi9dJBVS8/FE+qGQKmwSPRKPfX8Tr7+rfvxaMxRyYsoEpPQo= dFyjE96Gg1I6iXj97z5dS7cspoVyxZwqKEYOxDa9p55wzZSC5dTPGdHwwixUGofZwg6BZvOA0yr= 11Q8mVJROMpT1GDSFG8Cs95UQWVq23MFf/jhy/iVPys9D7/55/ezctEgV5y/mKF6wngj4w8+fDn= /6s++X9zzm39+HysXDbVd04lvPvAqn/nOs3zg+nXc/uSuWffr+q3LeOflK/nkPz3ZJnjnSoURuH= bzUr732E4OT7QYGUgYHkh48Lm9xXehw7uxPYZyXX/BMt75hpV88itP8rV7Xi4UzM9/9IfYsrqkF= W455f/66/v51fds5amXD/A3tzzHy3sn+E8/eyX11PCWi8/i2Rg+lj9vuON5733jmuL+v/3Oc7yy= Z4I//rny/q/d065UPLJ9P3/xzWf46E9cSLOLAsVRFIFODx1HnW9Hm60zR/XZvRSOvD+iuQBKQeZ= SsDtKe4DNdGLt7PpWXfXdWu64Z4p6NP1d3WXgkxPjX7R/LFnJs3vCjMervKZznHM7jRbvm+Kd0+= VNd1fLpPNPXXrUQ++bQa+PXkep/RMp8ntFDIjpspJm/h6OJo+/jooDakXpIKgg+YGrYDXE9Rv1B= W0sYmNwY4KoZeG8AW685iLGBmoVa3ugKlUNgStHmi0eenwH//TNJ3ls22s00jrOJKjawHkc1JtK= KE0sZmcsMMSt338MlQwvwoUbFjM6YBkQJXOBFnft2Yuov/liGr7ON759G+MIDTG84cJVjA4leB+= M2SGAKReeiyoYIHDu6uVce2XGY8+8ik5mHG55XEsxNkGMLZQvlcBUpSYwSGUYdh84wp0PbmdsYY= 1rL1mHHUhDUnk11jj/Oa8dUvQgwPugpBhRjFdajSaJSUKRHQ00u0qoSO5VUZNyuCk8/fwRbr93N= 2+/YQV1C0lMxrZAmhrWnjWGMcQY9JK5ygF6wyVMHN6N0SYouOi1iO6VwsOSOY8xSah64Q14qZJ0= FW8886GY4D0PPc15axeydGyQwZoNrFQ5J5VI5P4KI1DU9dTQpwRIJC+2KMW60zy5XUPI1/79DXa= 8Nsm61QNlKUeFeUMDzFszEDJyVEKRwnhB4SHV9u1PVedMOEwfU3Ei2XdyZaKqZHQ7EJQylhdrw7= 4o7e73HwRcsHaMtUuHeX7nkeJv+w4HI8NAzTDeKK/ZPs013fAHX3yMjatG+d/fe8Gs+rRwXo1ff= +9W/vaW5/izrz/NsrEBfuv9F/Kdh3dwxxM7ed8b1yACF6xd0JYD8uKuI/zDXS/yM287n4GaZf2K= edTTsIdONh1fuvMFFs6r8Wvv3crfffc5/uxrT4W2f+Iibn7oVd7z724uCjTmxpL/+OHLSa1gI8v= fLQ/v4NV946xdOsJ4I+Mf7nyBn3l79Xm2fN4dL/Cvb7og3C+V+/eOs3bZSFdlDeCuJ3fRaHn+8a= 4XZjVuzEB4qUL1xCkcxwQNZ1f8pajD1Y3Z7cSgmxX+6E8oJI/jY3N9HULbxjnMty4zTjqVj7kLR= UP+cVGyQcjzl6vGq9l6M3RaRecM8XRUhajuA/T/s3fmYXYc5bn/VVX3OWf2RSONpBntu2Xtlrwv= si1sjAEDxgECDgRI2CEXkjwJubm5CZBAICGEhGBIAuEGE2IwGBwwWN5lW7KRLVuLLUvWvs2Mtln= POd1Vdf+o6j5nNmkkS7Zk63ueeWbmnO7qqurq6vrqe9/vda9Vk8J7FMly2EoPHzLCE3odyF9j0D= L0EB1FEIQ0N9Vy6aIJVCgP8UnUJoWmoC1FnWHNM/u59+HNbNqyj8hmsFZhhI81WIWwApXg6v3gF= MLtjheKBeIgx4O/2UpvVAS1gEvnjQXr4FHgFsujm6q5/k3z+NXj63j46S30mgwyrOTyxc1I47gQ= QonULUp6wBg3yOqqAxac18wNKy7l5/c9ge6FiACNRFuDVAHoCGtjr8MR01PIkw1rEDLH+ud3kAk= L1FZVcsn8ViIfMVCOG+7nNIMm9r2sEMZFEYTzNrA+2lBMYEvWOJE9cHRqo5zchMpQEII8AVv2He= LOX6xi5qy3MnWcJAyd45AghpRn4FtfTlIX4wX2Qpyoo9WQC3ydlVPqsEJgpPBOhkBoi40MNjIuG= iJAayc0qFWIyVTTme9gwwv7eWj1Luqqa5k3q8E7QoF/AYl0V6P/wj8h6hmsKRCmASaJ8JWOIwgV= YCJ27drNumc3MaFlEUK59ii/22KsIS5qstkQo12/KtX/JZeQAq21xHH8Knnqz9nxLHFwh3sBOBi= lgzo6TQ6FDIPys89Ymz/Z7eI31WaZ1VLL83s6aajO8u2PX8QPH9nBIxvbWbFwLBfPHs2GXUc51O= Uci4bqDLd9/BL++5HtrNrYxrULxw06ZnZrHfXVWWa21LJ5T2d6zT/41hPc+dnlVOdG/gD9/QeWM= X1cDdPHzeLDN5SEBz952xoA3nvtdOZPbmDFovHsO9RHY02WQ11FvrNyC7s7enn8uXaumj+Wdy+f= 6rIAAquf7+DAkTzf+V+XpWV/KCm7qPnEN1cPWZcNO4/w+gtamTymmvddO51ibGiur6CzN+Jna3a= xu6OXx55rZ/n8sbz76mmp0vLq59s5cCTPxh3+/OZq3rtiOlFsaG5w5/989S4+/da5/M6109l3qI= 9fr93Dr5/ay8feOIc7H9vB2q3DE9wH2gkvck7TLumxNmdGCnN5Oa20SBSDPhvKBjqlI7rGUClYT= xISenaZTZfTqesxCFZ1rPOGNvMKTrM+RlMijR8jY9WJlzs8z+01t/yw6Y8Xu+rnmaauiHsRlwEe= a6urmTC2mZxwyuFSlGd4EEiZYeeeXlY9+Tybtu7FyBxK5YiJPUTHZYSSFpRfkKb0MusW6GFFFi0= UfbqPp57bg9YFRLyEy88fR1a6rXYt4ODRAveu3sfRokJna9mw/QDq3qcQeh6XL20hNhBI4cXwNN= LDuoR0u+EgGFWX5ZrLW3h203P07ugkKsZoq4iMIZNRjtOAy35kJWQqskRFg5IB6AwbnttL1PcoR= zsuZNnCVhprFWFJPw/tmSTJwBOeWCC8E2CFhzgpicxWuLTCwlLUCmVABhAp6COgqHLobAU6DtjV= 1sNXv3EnN65YyrKFYxnXmCFwkWwSnrfxUQkjILb+t1bEJoNUGqEgbyAUYKxwkRABQirnqHiRQII= sZKvIW1z6XgWRhIKVFG0OmaunEBkeXbuZfG8PB4+cx4VLJlARlMGxyhb/PgMweAmNGIG2IVHsx6= IUxEl/hYDKYGWGXfv28uCjGxgzbjzz540mGzrukEiic1lJjEAoN4wjW7qW8I5qJMAIhQgqzul0v= MqtPGFGP1hVgoHsBxspaeZIpZCBQidZB4awNHPVKzh+yhXJF01tcP9//G4eWn+AXR29/NZlk/jk= m2bTV9A8u+MIn/PEbYCH1rexq6OHWy6bzCfeNGfQMXd+djmzW2sB+OmfLecD//gYj2w4AEBPIeY= L//0sn317Kdrxd++/gEvnjOGD//go67cf6VfPv3r3Ii6c1TSo/u0+dS3A//r2E3z+1sXMm9TAX7= 1nETvbuvnHnz+Xao98+ttP8rUPLeOmiycC8MCz+/nw1x/nL99z/LIH2r/+6gVaRlWyYtF4Pv3W8= 4m1YXdHD//+6y2s2dyBAD7zrSf42ocv5C3J9Z7Zz4e+/lh6/vhRlaxY3P/87/jzmxsqOHC4j/GN= FfzOtdN53ZIW7np8F1//2aYR3dcTtTNpoStSydkzp06n2k5Ff58J88epMmEHQgaPJbZ3JlvidJQ= t4Abo053aqwFz3vff/Uov7zd5gtc9lufWz6M+TUozwxfrMihZAcYDXRJvTBpBYNwnQmgQMdoYjM= wirSKjLbNbR/PGK+fwlqvHkAmT8vC6DpoiGf7rZ8/wqwc3sm1fN5GoQKsMMdJjc9wiVGGcKjigv= YCggyHFbtqSIdZqlOmjscKwcNoY3nbtYubNHE1VVcjuti4efmonP3vkObbuOezS7xpDQ06ydPZ4= 3veOa2htklRk3I0sla+dkB4SYyWxhd5Y85NfPc9dK59le1uegsgSC4mUkgwaa2M0MUaClBlMnHU= MjbibwPZRn8swaUwzrWOrmTG5mdGja6ipqaCiKotQwuleaAcwUiLwYbvYZwlz2hLrt+7nW/95Lx= UVOX7vluXMmjAGZSwaSbeGnz7wFGs3buPgkTxYRSAEFTJm2oRRzJzSwJSWBsaMqqemqorKXAVGx= 56U7aBN2hPC739oNU89vYHx48dwy803ooQgFI5xoS08/cIevnH7SvLksMaJP46tzbB0zkTefN3F= qFAQGU1sYf3zu/jx/zxGR5dTDc+KiIaqgJYxNUyd1MiUCc2MH91AZTbwQuYyhVClY1FKdu4/wt/= 98520tIznjdcsZNbkJge3QlIg5Ht3rGLTlr3ke3qpzkqmTh7LggWTmTC+icaaSiqUREiLyoQU4x= iRPHyyhKcTVhEbQYGAjS8e4Lb/uJvIZtEiOIUI6BFY+e7bsSbml1EAK63HS8GbneL6Duqbk61bW= b0SWJWk5HRYz+/RCPd8BwFBNkSGITFmyHl8sIDUSx0/4qX1/QisJH968lYuhGWBS2ePZtVz/bkd= 4jQN3ZGWaYZYIJzoTvYroD03ApTCMOcNsYN8uu5Bv2sMUb7jcRhkQhy2JedDplPMQKT98DvBIzI= r0zL8B8dcJKb9bEtXPZlIx/HrNbCV/cs+Uadj8ML+ZKpUwrjZ9LrHKvd4jAg3j0onJJYmDcBnsH= I6Y2ZY5oylpP11ok5KORdkuB602P7JkoZpi/Ub0EJID49xa6VSYhF/1gnWcZAWSNnvZ7//u+I1F= OkQ4FOkJmkgRXpTShGORKdaC+VDaRpFRE0FjGmsTESvoTStEGmnjPvUsy9y4HCeWGSIUmiT8g6H= SCFVqeI2LkOM4/BIB32RYFFIUUF3vsj6ze1kWEdsF1FXV8GmLbt58PHn2L6rjchmkUEI0nKkt8D= 6LW08tOZF3njNRLKZTEk5OA2jkcR4CBBUSMmFCyfy1MadtB0tEse4zE/JgPR6JRZLFGuUFGhtET= KLJaCnCM9vO8z2XUfYuqOLhvocldUh2coQIa2DcxmBtAES5XcCImTgCOIxkrbOPAUCCn2alau38= uym/SjrHMM+I3hi03YO9eQdB8JjzvsieH7nQfa2HWJ9fRWjGmqpqshRkcthtU4jSMZKB5tCsfG5= XRw8ZMjLiDt/9SwKg7QaJS0ay/5DXWgr3d2XIRZJe1eBNRt3oIMahDTEOsYgaes4QsfRPDFVIAO= KVtLWWaCjs4MXdncyfsxRmhurqAi9SF+aPkp4h8NgheRoryZvK9i+9yj3P/YCzz2/21HthSImy6= YXD3Ck1yJFNUcLhnXPdbDvcExT4z5G1eSoyPgExMLvsdlkAkk4PS47mzYBscjS0VmkqDOeP3T27= zSds+NbqnmTvir94jl56UkX5RCBdBns5NDv41PvcJy9NtDhOGcvr6Vj8YwYgqXlmUsCkmAfXqM2= ROrTcoz/qwOKZcuoG8k9t6UJFuj/z+DRcLI9kJZ4woGI4VxckXI50jSX/c4ZeOWTrG/ZZ68hp4O= 06daKMs/fh0aF91SFi0BoIdyCO44QFAiDiGwOVFgigOPTHRaLlm07jrB7/xF6CgYrKxBCOi5Hov= VRlv0InPK1FgItJUKUdh9lqvwbgAjoLPTx2NPbEbl6chUhO3fvYfOOA8Q2i5BhOmC0zHKo13L/Y= 0+zZH4D1bkGcoEk4QcJT2PH81akEIRSMKW1mumTRrN9fw89BwuegKwwxchvlrtUsNZYUBojLIHX= wYhii/YQpe0HjrKjrcOT4GMH5xIgUEir3LaKMY4orgTGxFgp0EFIJEKsFTy5fhuBtQRWIKSiCES= BwhCgFAQCjI7BCiIbcLAn4nDPEbbtO4I12jklPuOYAbRxKXCTyI4QleztyLOnYx0YjcSgpL/nSI= TMgLYEmRBrLLGFji7NykfXoXXkMlYInCMpMm4cGeNU6q1AihBdVDy34yBbtu9FEXtCubvvDlZmM= EL7a2aJqUIYwbMv7GGTLSCNc0iMzJLXipgQKQLXNqPZ2d7FzgMdZKUlVBZjI3oLecJsFmsFUiqQ= ljgq+jzhuPxiIosWGbRPaHC2T/vn7DhW5mgMpJla4R9HXIYEEShEoFzCiBEQXl/LDsc5Oz020gj= FULuopS9PaZVGUpvjXn9wbOPU10AMKnuojnj5ntljqWAP9f2Za0PXMx2rQzpPdsDvIb49Rc23Iy= xqaMp74mBInyq37D2RSEAM64Bwwg9b+dGvKafDYeDx+aOSBbhPvUoCvRIYId2uhQQrNFZGxPRR0= L3EojoldVvj0prmi5rdew6DDR09WiikComiohO4s8ZlQ/KOhxUaIw1GSrRfjRqjCQKJSyTrHKOi= lpg4gEwD9z25GWMjn3I3xAiFNRbhORvIgD5t2Lr7IOs3H2RUXSVjGyoIfErGxKw1Lq2rF/YLgBm= TW3j2hQ52tXeCVEgReMdHeI0OQSYQGCLHERHKZwQ0ZMMsBW18qrXACSMK5aFswiN9HGRLWYEwCq= uNy6wkIbYGbTVBJodBok3CgjZENnbwpVAhibHFPLoYkc1WuohLkMNKQdFoEIbYi/JIkpS8BiVCC= BTFYgQoAhlgcbwOpCCOi2BdxiprJMpabNE48rnIgFQU4ggpA6QSGKMR1roMV8Yt7jMZhZTSZbQQ= kkhLjMo5h8PaVFlde3q9ETFGWCBEhRWY2DmmgVAuQmQFhoBYKaxQTtPEWn+fMwQqJLKayGo0IYU= goCgzXlndcYRiqQiUiy9JJFqDNhoVZtHnPI5XlQ0FUSlFcUufl4ufWg8PFUogU6dDuGxxA94v/R= Z6Z82C4ZydDXaiGarS814hOFjp+kPDmdIsWv4xKT1LQ+EVT01dBrlhQ6aoOz3P7VClDoJXlUU3z= o7ZY4gl+qAutUO06dgQt1NJGk+cF3scCoRNohj92pAIsCXZVEsk8tIjVnJp7BBz/glDrsr+fk05= HTJRugZKWYUc78HLZvgok/vOCIeN00pQtIaeYhGNE8KTwhOXlbt3WmuiKMJqd44RIFTgnRADVvu= JSnvSsC8ftwBXQjjCtzGpU2SkQmaq6CN2QnUy5/W8LaEKMMagtcY4FjTWWnJhBc+9sJMFM+sZ11= BRSpMpBCbBGQrvMRlLoBRTJ46hqSGHsEUCVUUUxwTCSWBbg8f5WayNCVTSayAD5eqr8Kl5hdstl= b594L631oGrhAKhUIGruwWMcEJ5zscJ0FY4Er+QKBVirOtXZTUBklw2RxzFoEK0FWgNEKCkwMax= c7Ck0z8xOI0PqwVWhkipsFI58ngcu6xXBKUohDUEQUgcGacUjsIYiVBZDEWM1iglscaSL0SEmQp= kRqJNHq010mMhXZSrpEni+txzgKTFyNhBrKxCR5pQhhhjib2Qn4vSgMyU+klJQWytT6PrYFNu4l= EEFZXERrv+1DEgCTNVaKOJY1cvpZxjFGvtNVnO2avVhnI4yi2JZhisS38qJfgoRypEOVS55xyOc= 3bOztlxbCgI1asDVnVsO5uaVy7z4hA2A6JTp/HarxpF8mNZ6SVskFakTFvrtSi0kGCkT5kLwliE= MI6TICQFm6G9x7KrvdMh5ZPc937jMAwkzc21VOUkqrNIUUeOQB4EaOtA0koYrE34BgGxsQhlkcL= pUmDAarcQBZ8rH52SoiGDwCBEgMSijUVrA1552xpXlxjL/raD9PYV0rYnXo50uXn9isNV3moY0y= gZVSfIKE1RR4Sy0hG4rAXr4FEG49wKIdDaRWOktFhdJJDKQY2wLppkhIcbOcyYTEl2zsGKtXY7q= 0L4HfzARwSiUvpi6RypojHOKfQQrCg2KAEmUc7EDVhrkxy5TtsDXBrQRC1eJYNaa4SwKCn94spz= TYTGorHWolSARGKtQBuLRaNC7SNNno4vA6SRjkSGcm2zFiU0sdVox773quoOLmYRxDYmjp2Eexg= orHDRKsogewLfd0anO2rWOkXz2Lj+sn63QSa54D3nRonQQdi0QFqnr+I9WB8BMiUi8Tk74+xUv5= zLBc5MyiUTWOkiHDIM/bPonxtbLrhTqtM5O2evtJVzFIcEjQwhrz3SeW4grHBgJKW/2rdNOY94s= rMgSURzwmD7U2+eZN6vTaf4ET5WccPNXwPnkX6AsCHOOR3aKzKh8w8xpx2r3kKU3XNbnqWqFN3o= nyzm2FYal4l+2RCJBkY4jIZL+iHSFLhuIJhkaCYBsVQMsPTolHMwjnV5K+SAOh47ylNur6FIh/H= 5jGSaNbKcUCk9jAWjnWhdoCiYyEFayHLwSB/Pv7iHvD6PjHQibMm9zmYUM6aPYuzoSg51R+jIcR= 00AqECtI6ccyHdgk8FWbTRWBMhhEnzaLlb5tQgbeLVeMK5SFSyrYukWKtBKoRQ6RARaEfQNi7lr= 3OOrHcwZMlTIt1+RwDZEOpqc9RW5ejtdo5OrDWBJxxbA0oFWBsjTRJStEgTIYiQVvj6iRKBO0nF= 6SFGieiitdo/AwGgvCAgCG2RWqO8SJlzutyCX/gwoLXSLcqM9g9PIsCHVwIvRWFcJUW6OO+X9mF= ARof0DK8fgjFOCd06SJ4KLNYWESL2DqFyURMXyiFQTqtFWJdBymmrB76NYI1fSEqFEIJABRipXe= QEkSYZKGFzndNhrRuLSS5tKSXKjzub8GysRcSGrNAuPOIjdfiIESJ0vGBjnEMlA08xP2evRivbw= Br80hIujXaSuUoGASKQ6Qsw+fyVXjOds3N2LCvNk4MG+Clb8Jfj5fs/RwMw+8fVaXgFbaSg/xO0= U1HkwDKGi46c2r61ZQiXEzhroINhLdYY72QMdFVPtL4luOvpMFd1m64r+nV8GXF8sMtwond55G1= /jSiSJ5kFbFn39u9ma6UfjgJhNcI4QrL0eh19vUX27T3M5q2HmDu5nkDJdHcjVNDcVMnll8yku7= CBnl29FGxIbN3yUxvrHBn/Po+NBmEJ8NwIv7toPQHa+sGc7HKnk2wyzyXuiXS78U5V0pfhxf3SX= aHyZlq/qBZ+l8h4jouAqooMNVVZ2nu0c4h8+jes9hCwwDkc1vjIhSarDLU1EnRcpnsu01pbvwvv= FtXSuxAGowSFqEgxFhjrIUwiAGMRMkBI4VS2MV7wzyBNnKAPEcKgrYdrpdGOZHJIQlCll4EtbVP= 1SxNb6pYSTi7J0CcSZXEpsDZC2zxCusiX60PHU7E6pjInCEMB2qCExKIoWkU+skSxU1dPVNiF59= NgLUYnHJSy/QVbcj9JJgyPkTPErk3GOAdLWKSNCXREfU3WOyrOudBG0luMiYwAGTiuko+MvAof8= FeNnQ4IQpqpym80lKIcCqGUz3xmvcMqy5SVz9k5OzNMDPg94vOOE9Ud4EKMzBLI8qCzXtl5tXR1= 0e/XwG8H2RCvhNMd2xzKHxo6ynsqa2LTCMBxYjWDPkkyj5ZHuE60TwcdcLzaipFHO45RylA9Xcp= YNWglnPA4hqrrENGok6jjayjSQdmC0y3vRbpIFemn0u9Tm7hINpTYKI80hgBDb1eelQ9sYOxbll= JRnyPj0kG5xSlw3fL5HO7s5GD3Fvo68kihHLzKw398VmcKcR9KBuTCLEYrIqNLu+yiVKZIxIbKY= 16Jx2pdbY3H8gscacVqSzYMHXzIloU0E4/WJt6+Jw94nTilJEEgkSLGGoMKA6wxKSTK4iIVAgNa= kw1gfFM1c2eOQsR9yDTSIH1S3sSBEw7S5gn0sYzQUtDdU+Rod0xXj6W7J6aru0Dk+0cLJ4IYG00= 2FIRCEAgXLbFaE4QZCrGhoC2xx5V59yJV6BBl4crhXjzlD5pFYVFgDYEwZANBNlAoaYmiIkJZrB= L0aSjEwkcewMqYqZNH0dwUIHSBjAoxBPRpxfNbD7LvQK8j51uJ9A4onkivkK7fbKnWqbNpbcrvc= P6hJdZFlFUI4VIZCywZa6ivVMybM4bqCok1MbE29BUFO/f2sLO9k7wVLg+3dXC2s4TNd85OgaVu= eHmKXJkIAQagpIuCpcq0r/TS6Zyds8E2oilLkEKu+pHOkz2cgWisE4BflZeVKFGX3jrlJb4y1r8= tQzVq+LqV1h0lezlI+v2WNcnfgxyPU/2y8tAoIQd/layVvM7KoEBGghpJebLHusqxvh+5PlFJZX= 5Eh5eucCxIrJCpAnlpFJdfb4gHheErcqJ1fI04HclNNr6D3EI1zUBhJeXLVmEhlJKMjcHGVOUUG= QG9Rw/x8CPtLDl/DnVzszRWJTEIiyAiIMMtb76MXHU9371zLYd6CxQJUbkMaOnS7wqozGbJ9+QR= QRasIyYjFUa4KIJIfg9SOBUp/Ko0uWrnGAiB9BGVpsZ6splsQmcoy1jjsmJRBi1LxmZCSrd+lzM= htUvlYFnFqICUCiUkCkVTZHs3hgAAIABJREFUfQ2XLJ3Gre+YR9YPJK9H1y/Nv1tUuwFpBMSypN= vacQie39rN0xte4KFVvyEfBfRFMbG1iCAgiooEec3EliYaa3NIG2PiiDBbRWQUO/Yf5WBnEWNVW= f+U95Utu+cDXj5Wlh0uEl49SgmkjhjdUE1TXSUZoVEiJMjG9BnLzo6IA0dcZCzfl6ciY7hhxRyu= ungaYZKsQEAB+Kd/e4if/2oTsbbkcjXEsfaRJZFGZkp1KjlMDldfuu/GWow1SCHJZrIIII6KWF2= kpipk3nmT+cB7LmBsk9eREdDTq1n5cCe3/8/97DjguEjKR8CsMa9s6pdzdlrNWospy6JjhShxOq= REBQoVusQCybM66AV7Btu9f3UNE5oq0/+NhSg2tHfm+dmaPXz1rudOyXX+6G1zuemiibz9bx5IF= cLPdLtkzhjet2I6i6eOYtEf/GzY4/745vN5y8WTuPmv7x/UtusvaOG3r5rKpOZqrvjDX/BHN5/P= Wy6ZxNu/MPjYE7ETKSdpx6Jpo7jgk64df3jz+dx0ySR+awTnJ4uu001efrWTo0+XHev+9Fswn6b= +PZZIYfpZeTQr5XG89Pqc/hFTDnUSg9rar3tPe10G22vC6UgdNatctiphcYwLmxKcU5VIi1cELx= KaTmZMbOaGa8+jpXkUT/5mBz//5a+5+5f3UlNxJQvmjKMy5xyB0O9iK+CqS2YS5BRf+/a9WFuNL= uYw2uEAkQIlLNkw67MkhQRBSNG6OoFGWqch4UHWPv2sEzZMIGDGuL35oIwrYk1MLhCcN3MSTQ01= Ca86DQsa8GlV3cdCuRe2BoyQ7upaIwPQUYSSCiEF2hqQIaGqcBmf4gK2CDaKyQKhH0hqiKiCKPv= BQsZCMXJNHV8JY+ZVMn/GeSxbMI2f3P0oG7buoxhpYh2TCxVNoeCdN8xjyfktZJQjc2mcjsq/fO= 8xHlyzB91vGMtSxMNSRtQq1cf1iUD5gWE84UpJMLqXrOrlTa+by4pLZ5PFoqwlMhAp+H8/e4Yf/= XoL2mbIhlkUfWSAnP/xSZPRgBQRQRiDDeiLuhFWIaQsC/OCkSa9N1Z4BWVrkRafutmR0KVQRMWY= gokJpEKoACUNShmEKZANLBmV0OIhj0XKvOOiKOEU5ZHEUUQgT/3+0Tk7U6204YAQLsIRBqCUy4O= XcrTccS573pltb/7cA/z5O+dz04Wt/OcD2/m3lVu56cJW3rN8Kh+8bjr7D/fxg4d3vOTrfOlHG/= jSjzacVQvL375qKpfMHjMUT7afffGO9XzxjvVDfnfrNdNZMKWBrj4Xe/7SHev50jDHnoidSDnvu= moqF89x7Uhm8L+9Yz1/ewrqMXIbDCspx/cni1DxSizdhN8usGLgW3aY2iQ5O8sXzuVbDq/cUz9U= xCOx0+08Du18JPwHm/In+1fKHPf5GvJaQ6CUUlX4AWkRBl7zRKMJQqjBZSTq4z5Lpk23iUcaeCm= L0IjBEFybRo/MMZ3FIWJMr06zfnFpyicS4UT6kr8FmlBqsiomQ545U5q5+Q3zuGTRROZMaWT5JV= N5/YoraGvbz6/ue5xnNu+giOdUaEMAZIVgVEWGi+dN4hPvv5rGigIZ20MoNWHoCMg6sj7bE2jrS= MsJuEamk1j5MPTfikRh2/qpw/FEAk/qDm3MmIZqZkyupb46LNFYROq/lBwrnxozEQorFGMKBZ/O= 1+p0+jKe0yGVQluIY5AiIJSKwDsbQep4WAJhCTAEaPcjNEoYpBc+VAayErIBVARQFUoaa7KcP6u= WN163hHmzx5MLNMpYMgjCOGZMdUjLqErGNVQxvrGS8Q2VjGuooDoUqLK+S/oqaagV5Xmqh3+4Ev= 6GEDGBjCHuoSZnaa6voLm2krENVbSMqmJsQxWVWYm0xmlqYNPMXMqC0hYZG0Lj+kPYGGMKGKsJA= 4lSHg5nTKmeCQFf+GiHsCC0f6h98gDjfgIRIK1LAWyM8FwUF2VTwjkqwrgkB9JYpMm7vsfB0jCW= MAjP+EXlOTs565dtJwmfJ5FOnxpXKOUUyKXw6cIHvHTPggV2T0Gzo60n/X93Ry9fv3sz96zdSyA= F1ywY+7LXad6ker75sYtf9usOtI9+43HufnJ3v8/mTarnthOo27u++CCPvcKq6x/7xuP8zxO7R3= DksS3N4HMuA9sZZbZfBqjjWykT08tfH/dd+t9Lv9gImvFS25q0pTyLVelnhJU4TfaaiHSQYpo9Z= t6KMsETly5VWOkUqm1MTQamjmvkTa+by+K5rTTW5JACJrfWcs2VczGmj01bdrJy1XqQgmVzJ6BQ= SOO3ZYxldFWOqy6YQb4nz10rn2VXW57IViEIUYkoiMRlScKgUp6GQKRpXBNMtvRkcZmyFZA2XV5= jLCGWusocC2dPZWxjBbkQRBrBEf0X20naN+GI0ZGGrt4CPX0FkKFL6qscp8PYGCstQkriokYayH= hnR1rnKytf/4RsVXpg3JKmX7jS65sY47JYCelaW1MpWXDeaNoPTqDjSBfP7ewisJKMkmQMBAaUN= CBiQhFQwPFPEE4HxaZuUjk50JZRdvyngrLPyqcQjTAx0hSRNvbMlLQZqMCRt10kIsKYItJCJnDZ= qrzWoOO/+LID6SDzxdjB1kKZ8RA3izXuYGFlCfKX7DylDXDpk/FQu1AECCudBolwC0aHT/WQOED= 5lac7M0Z6jRirY4SUqCBEn0CmiXN25tvA3a8060vicEj3/MtAIZVK+WMpekCUORtn8eIsm3EwS2= Ne3rFdlQ34/HsWky+eGXnhClGpHlXZgC/8zpITrlsxeuXbUjiFdXDrrJcHcnXOzl4bKECZLt5xf= I50+7If9+3MHU8lTq+PcgjRb6100pZGPE68pNeM00EZsRiRxBRsSo4WNkaiqckKZrbWc+1lM7l8= 2VQqApUGoXJZxfRJtcgVSykIxeYtu7j3gaepzQrmTpvgogfGLcYzWBqzIW+9bgmFQp57Vm1jx74= iVoQIGRJrg5UWK50eg/RhUpEQz8vqmwx1Q2lX3KGIDMIYAmuoDCQTx9Ry1YXTqa/KoIQjylvvqC= QkdjkwjAd098LRrpi+Qowl45XIRZp213EgtA/LOa5H4iwlNSsd6CI/LiJDuqoZwGf3h/oUr1gUA= Q1VkkVzx7K3rZPdezdTzFukX8WLsgoLHHfFXUH7xXoJt556FqlzYcpam0ROpXeIfA/bGGGLbqHu= U/YaHwXSPoOZ9fm6hTAIHaEQKBOjrNcwkaRikwKnRB9gUB62Zq1BSa/tYazLYkwZryOJbdgSayd= RG5VAIBz3JIHY2bJ75Ia1j9hY53wE0iKMRhinbSIAE8fn+ByvBSsFSVMEhgx9itxyQEj//YCzUs= TrirljWLFoHNctGkekLb98al+/769fMp6P3DCbCaMr0dqyenMHH/3GalZ/5QZqK0MAHnuund/9h= 0f59scv5tLzxtBbiFm79RALpzZywad+npb17Y9dzIUzR9PemWfVpjbWbTvMe5ZPZVZLLQDP/ctN= fPueF5jVWsfiaY1UZAO6+iJ+tGoHX/rRYGjQe6+dzk0XTSDWlnXbDnHjsglkQ8ldq3exeU8nv3f= dTBprsmze08nbPn8/G//lJoSAJ144yK1ffpi7/s81zBhfQ9uRPJf/8S8GlX/7H16R1u35b76Fb9= 2zmcefa+e9105n0dRRLPmU40ssmT6Kz/7WfGaMryVf1Oz0kaTLzhvD76xwxybcCoBvfeISls0aT= UdnnlUb21j34iF+tGoHy+eP5eNvmsOUsTVIIdi85yif/e5axtTl+pXzyTefx/VLWth7qJfKbMD5= kxvoybt+GgpCdamvx8Kpo1jm6/GB62fyxgsn0luM2b6/m2sXjUcIwQ8ffJG//e9n+eanLmXRtFH= pPfjxI9v52zue5f3XzeRNF01ECEEmlIxrrOQ7977AV358POjWaeaHvOz7z2LA7zPfXtr8JE5Agy= 6JbiS8X1v6m6Fu1snV6eXp+RJqRgzg3L6UMp2deLuHhFedrZtdx19Lud1145e5WIWwEgUERFQHM= TMm1HLtZTN5/dWzqcpIQuk7ybrfoRBMaqnl2uUXMH16K5u37uSHP3mY3W1HKOjSzr4SgsBacsA7= 33QpN1wxm9ZRitD2IUyM0V4oUHiOiXAYfysFpiwDVMLjcGtj74oIQEkMTvdC2pjG6pC505u4cME= oqrPKCRaJ/j6tSYTzhPAEcXf7D7TlOXo0dpAdK5Ai8Gl9BUIECKPACIJAEQYKpEVb11aZ4kQTdK= ugqDUHDnezq72L7W09bG/rZntbFzvbu9l3qJeuvEajvGCeMwfJskyf0MjCOeMZ21iN1DGFKOLg0= W72tR9hf9tRDhzoZs/+LvYc6KS3L/ZXT0RT/K6/0Ahcvyirkcag0EhipytChLQRGRuRNQWypo+M= LRBKTaDASsmR7gJ72o6yt+0o+zqOsru9m91tnXT1RighyQQQUsAUu53D6nc+NJY4ebCKBSgWyEn= ISYmNC2BjFJqAmFDEBDYiMEVCGxGaIqGJyFhNYGMCUyC0BTI2JkQjdeSiMdY4zQ7pmTQyuQvu6t= ZrjEg/w0ghCYIApSRRXDyTN2bO2Uuw8mnbeLyw++2hVYFKlceTLQ3BgJf4WTb5//ZVk/nWxy7kl= ksn0nY0z9d+9hx3PrYLfH801mT41JvP4561e3jPVx7h7id2c/X8sfzpLfN4218/wKqNbew73Mef= fHctAJ+47Ql+unoXazYf5KLZo6nIqPRat1w2mfmTG/iT763lq3dtYsY4t5h/8+fvZ0d7D+u2HWb= 2h37C48+3s2xmE9+7/0Vu/sL97O7o4cZlrUPW/9arpzG7tY7RdTmMhU98czXbD3Rz49IJLJ3RxF= /dvo7vP/Ai502s46M3zuYD/7CKzt4oPf8PblvDC3u7hu2fN33uPna0ubrN+v07+fKPN/Ceq6dx8= ewxVGRLbfvcexZRWxHyR//2JLf9cjOTmqsAePcQx95y+WTmTWngs9/9DV/9yUamj3f90Fyf4/++= ZxF9Rc3vf+1R7nhkO7Na63jjhRMGlfO+FdOZMraaSWOqufepvfzBbavp6o149/JpLJ8/GB737qu= ncdGAetx6zXRmtNTS0lhJbyHmI19/lI6jea67oJVL5zazdOZo/vO+rdzyufvY097DjRdOAOC9r5= vJzNY6Gmuy/N2P1jP/I3cO43D0j5un+Sf7wW1OzfNiUzTGy2nDczmOVY+z9vXhN5sT3S/of4tL3= NMEauW5sulsaVNI6ksS1y2fbpOM+ENV9yWOLZtwWoUsZaxKv3vl7uIwkY7EIzw7htfxnQ3rVUMN= UoUUitoRuGUGoS0VgSS0XcwY18gNV8xmxRWzyABGa6R0+Ge8A2CMIaskcydXk7t2IRVKsvK+1Xz= xn37JZz5yPROb6yF2O9JhRpAxFiUF77hhCbUVId/4j4foM5IiGWJrSYAxsZVkgqzTsogjj+YXGB= 0TBC7NZQKJElJhEMRxTFYZAltkSus4Xn/lBeQMCGM8zMsLD6ogdVzKow940ve2bTvoaD+U8gsCl= aEQFZHCgaaS/hVWoE3RuRbSwcM8LcmL0Qm0gANHuvmvn6xi695O+uIQ6/I6kZGK8U21XLbsfObP= qqWpTqKsRCUiyF5bY3xTAwvPm8LuXY8SScEPfvYbfrFyLSEF0BGZXBV9JmR7Rx5tFEZAmJFEcex= 6Uwi3wx/HZFXoyNOZkBhNbCMCKVGxICsFAUWMKaCFwMosfcUIMpJ7HtrEk0/sICxosoHChpo+o9= hzKAYdIG0RaXrJqDxS6H67B9Y3JSslFdZQKPYipSAIQ2Jb8NnGDGgXvdBxTIDCWOdEZgLlnFKTd= /daKrQVWKPIhhmKkUboLEKFPq1ugGt5KZWvlDgBI9xLWmvnnAVheMr2Os7ZydtQU9ZIIw3DvYrS= HPQiiQF6cKaSBNmMdzhKL9t0n7Msu93ZwOkot+8/tJ2efMwHVkznqRcPc9s9W/otpW5dPo1Jo6v= 42I2z+diNs9Pz5k9uYHdHL/++citf/eBS6qoyHDiSZ9G0Rp7aeoj/eng7X3zvYt6wtOQsHOzMk8= soXr+4he8/+CLv+PJDQ9bpkY1tLPj4Xbzzyin8n3ctZMb4WnoL8ZDHXv2n9/DLv7yWfFHz+f96B= oBntx9h+vhaPnnbGoSFtVsPcus102ioyfDopvZ+ZW3d18WhrgJ1leGIA5i///XH+NLvXsCNvm0f= ecNspo6t4c+/9xS/fHIPABfNHs35k+r5kD/2DWVOU0dngVyouH5JK99/4EXe9cUHAfiTW+ZRV5n= h7bfdz4EjedZs7uCvbl+XnldezsKP3cWar97IjrZu/v1XLwAwpjbHn//2Qq5ZMI4Hn9lXNs4tH/= 76o/zN717AG5ZNSJ+eKz/zP/z6b67nUFeBz31/LSDY3tbN/MkNrNpwgMUf+QnvuGoqf/7bC5neU= ktfIUZYuPLTd/PLL1zH0Z4i967d67SLEmeiHDni30fJlp21Zkgoo7UJSZv09+B7YQc99Vb0n4lt= 2Tq43OQQ99WU6VMNLF8ck6o7vKMxsG6D61Gq7fBDrbz8E3vP9IMrpR14jNS2Q5Ux1PxVvtj2axW= ZHptEMvof7oopCQcn82ZppjTegRncn8Mqmw/Xab6MxK1J11sMno+HJtYP7GdRSozkVgQI73QIL9= 9QKq8MPpZedUD/isFj96XYME6HPdvePSMygSEuFgjDHNa4DFBZlSMu9iDiiEsunMrSJVPSSSiUT= ogOf+NsWSqNwFomNddyzeXzUbKGe1c+yL99fyVvfeNFzJ3RgtIQx5YgcDOLEoJLls1EZHL8w7cf= RwFGelk46fB2fYVelFJON8NnuYqt8OlsY1AhQgi0jlFKUlkREBZ6mDejheUXz2HyuIQknCjcydR= fFtYgy/B8sZOLIAZ272vnyNFehMiADSgWDULKVGxVIp2miUwIzrpEwPeTXPnCpagtHUeK7DzQQ2= deEdsMWElgLTt2H2LzC9t437su5vJl08gKxz9wEcwYIST1dVVMnjCaiiwUdR9z5i1l+oRmAt2Hj= WNEkCNvM3StXk97vo1ABMTFCEyRIIipq8rS0tTE5LHjaKyp5eGHHmbBormMmdCMDZyTJPoMoTUo= Ci5blwxp7yzwi5UryRd7mTJ5CgtmzCAbOU6EVlAkYPVTmzl0eAuj6qp5y3VXUam6mTKxJd2tEEK= ijSEUgkuXLqB59GRiUUXBBBTJsPL+h2hvP8C0KZNYumQBSsQEwvVxkv9dKZXusMTa0pUvsGtfG2= vXricqdpMJqoiRRLFFRyaF75cmaDcpOgq5KvGChJ8sz8Grzlg7qY0eDwMoJ4/bJIucko44rsocj= leRWQNfvnMT8yc38IYl43n6xUP84KFS5qpxjRW0Hclz5Z/cM+T5qza2sW1/N+9fMZ0//s5a5rTW= 8W2/CC7E/V/mK5/Zz5fv3MDNl07mmx+9mI27jvAXt69j466jg8r9zqcuZfaEOlZtbKMnH3PexLp= h2xDF/e+5Nrbfa/9QV3HE/TFSK+dLzG51dXvw2f3pZ+WcjoHcivvW7eMrP97AzZdN4l8+fjEbdx= 7hL7+/jrGNlRQizYEj+eNeEyDS/fv3Bw++yGffuYD66syQ5xejwYvYWA9YyHsRVoB//fTlzJlQx= 6oN/h5Mqk+zK5afN1jHKeHKibLF/NDP5anamE0djsThOTdFnwbrr48x9AZPOaE8ERn2n/vFd+p+= DHOPThYCNhJV8pGXK9O6DD7ft+AVeh28KhTJR/SgCoESGayNHPxEuEV5pA2hDCGsZt2mdia0HOC= iRRPBOkdBYLDG8xlkgBICrQ2BEFSFiqlj6wgumYotdvPkuo38/N6nKMaGRXMmoKQl9rsZ2kJvn+= DwEUFRRxgCAlGBNRZtDEKBFJZQWoyNwRg81xiNBBFibYAwgtDGqDhPVvYxe2IjVy2bxuK548hlP= HBf9tegABf1kFKkz0psIbaW7ft62LarnSNdeSwVCJvBGpDKwXVIHjORQJeilLw8XKpAYyyFoqa3= L6Inb9FWOR0RLN19jrD+wOrNVFdnWDJ3guNAWO2cPSGoq5a0jlNI20dFFmbPqGPJ+WPJGg3WEml= JpBRrt24m3mHQxhBYS0ZpFs2bwOJ5rcxobWJ0ZRWVYYYlk69gzLjR5OqqiH10Pow9d0I4zZZYSA= 4c7uE3ayo4eKTArIm1XLqkmayxCGvREopI9u/fwuFDlVx56WKuurSFLDGNtRnCJJ2x8dFMBDMnj= 2X82NFYGRAhiJFsfkZCX8B5Uxq45tLxKAyBTNL3JtBRgfB6JrG1FLTmaPcYLlvazPbteVY99gwH= DnUTqixZJbGR24GTiXNskwksUYjXqcNhhR3BPtc5O7vMDv5PuOioUMptZPg5IWU3vcoWN3/6vae= 5/TOX8dE3zGLt1sNs3tMJQPvRAo21Wd6wtJW7y7IhTR5TxXbPW/jp6l383nUzYIiF8ED7j/tf5D= /uf5HrF4/ns2+fz5/cPI/3/P0j/Y75zFvncsHMJj78T4/z8IYD/POHLzrl7ZUDHuJAiZOGfPTkH= Vzrposn8c1fPF8qUw6/Y/69+7byvfu2cv2SFv70t+bzx2+fx5a9ndRUhLzlkonc+ejOEV1blTVk= xeIWlBTs7ug55jlDmu2/Q/vpm8/nghlNfOzrj/Lw+gP840dPNLNYafdb+E3YkT4ryfPHS3i+To0= a9SttA9mjJ3DeaWp7ecyDdOEt+jmWCZej3Akoj2Ul0YFj1XHoxf4wZsuudFLP8GB+hbUW6Z9fKQ= dHZAbWr+Qoldfz9KwUXlVE8uEfVDeIjbUoFRAbzwGQDnYCAqUqWb/lENnsZsJQsPT8CQSUiQZaA= 0Y7jkMKKYLqjGR6Sw3B8vnk45itO3az8qG1CFtk/txp4OMOe9vzrH56L489sRUrfLnGII0Pdxmf= UheDiSOsMAjPu4iNH0BWEuCyRwU6z+SmCq5ZNoOL5k+guaGi1A9JBCVpvU1iNSINISMERaNZu2E= be9o66SuCkSESRSAkhiIIXfbgJbwT7Tu5TLVzSEfVZdwSViCFAql8et4MBWF45vm9TJvcxPlzJr= hohzBpZCbMQF2toKYqJDJFmuoE40dnyFgHk9NWUZBQkXONUwKqlGDp/Nksv2wSC2aNYWxtzkHbr= GBy8zSEshhF6gSG/t46jQyBBgIVUJsR9AporJK0jA7JWpdtKxYQAfVVmlF1ilnTxzK2OUPWZFJR= wERsIxHoa6jNUlvrdAi1d/QqVYGqEMbUZ2htzrisV5hUXBHPq0Em+imJeksl500fxZ5pRYQtsnr= tNva1dyGN8rouiYKqSO+Hi26UGD02za19zu14NdngvTq/yZIojyvn9I9kJ+1ssKqsYvIYxzkYP6= qCxpoMuzt6+ae7n+fPfmse//qJi7hr9W7ueWofdz62k7deMpE/fttcWhorWLf9MCsWjieXUfzZ9= 54C4D8feJFbr57KF25dxD/ctSm9zujaHFIIblzays+f2M3vXTeD5fPG8dM1u9h/uI+eQkzoUhGi= jaW+KsP7V8zgyvObkUIwu7WWllEVTBlbTRhIqrIBPQNgVtPG1VBbGRLFhsljqmk/mmdMXem6d6/= ZzTuunALA2HrX1r6CprWpikvmjOai2WOY0FRJY02WJ796Ixd86ufp+W9eNoGfrtlVqtvrZtBQne= HLP95QusYy54y9/oJWbr12GrE2bNnXRWtTFdUVAev+6c08+UJHeuzP1+zmg9fPZPmCcfzs8Z2uH= /IxYSD50aod3HjhBD755vPIZRQbdxzhLZdOolDU/PUPn2V02TV/vsY5gDNbann75ZPZf7iPj79p= Dh2dBb79y82u//3xb7xwAj9bvSv9/w3LJnD3ml3MbK2lMhdgraW1qZpDXQXqqzNkQ8Ws1jqkFMy= aUMe4UZVMGVtDGEgqswETx1ZTlQuOmR1LJFCXNJp/YuvgcrDKa9dOnmx8sj038ijDwGP63+F01W= NL9/8UVfGEbGTt6e/c9YdPiSEhYMe+lj2tjVMAoxfd8hfDVuQECzzWbku/pp+mNg2Pd3ZpWqVUP= mNSf+yzkJJYxxw63Enn0W7GNddRV1NJIITjCHghLSFL/AjhMykFQtDQWEHdqDEcOnyULS9u50DH= YZqam6mqrqCjM2L10/u579EXWL95N0I5PH6s3QJeKjDWEIQKoyOwCZdEEVtBbNzSVAGhjaiSBVr= qJddeMptrL5nJxOY6lCeiI5x4nhkw8bnsWA6+Y4CCgX2H+vjJPWvYsb+HvjiDERmsUKhAom0EUi= OS1bRwPASBW+DW5AKmttazbH6rh0f5xa6Aoz0Fnnx6JwcO9hKZAGQIQnm4h8LYiLjQR8vYRs6bN= YmKDCihcXElt3w+2pXnmfU76e3p4uJls5k4bhTKOiJ4oBRaCB5+8kW27TpKVS7H9PE1vOumy1g8= p4kxNSEZY1DeuZQSlzrW57aSApTHdZb5/uTzRR55eB3dXT0sWjCVWdPGEZI4RM45Wbd+C20dncy= ePZ2J4yqds5BkrU06XQ1QfE+CTRYeePApujoLTJs6nrnntfpnQhNgUcbVKygLf7qMVDYdZ/U1Aa= NHNXGks5e9e9vARExormPZosnUVGTSpAeFyLB1VxfrNu/lSG/sycRJtrDT+AAOayO83ivyln4JF= z2F9R26qMGfDvqkLC1iQnIUUiKDABUGLk2u6C8Llu7Enrrqn4SN7GU40H7xF1ezbOYoAKY0V/OW= iybwr7/eyvqdR5naXM2iqQ0sntbI1fOb+cqdGznUXWT+lEauXTCO6xa30N0X8el/fbJfmRNHVzG= usYIfPLQdgK/9/jKuWTAWIeB1ix1sa3Rdjr6i5q0XT+SWy6bQ2Rvxdz/dyI72Hua01rFk+ihG1W= b5y9vXccmcMSyfP5ZRNVme3HKQeZMaWDi1kZ+u3tXvuj/60+WMa6igtjLkuiUtLJ3ZxJXzmtPrN= tRk+Pgb5wClEpAZAAAgAElEQVQwdWwNzfUVPP3iIZbOHMUNS1vp7IvIFzWxsdyxagfvuGIKKxaN= d+cvGs/+w31Ya1kyvYmm2iyfvG0NX//QhVyzYBxCwHWLW7hr9S62Hehm3uQGrl4wjkXTGunoLGA= tdPYVmT+5wdenhae3un7IFzU3XTyRt1/h+uHvf7KB37xwkJ6+iIVTR/H6C1q5/oJWDnUW+Ox31/= KPH76QaxaO61fOisXj2X+ojxWLW3jzxRM52hPxt3c8y4Ydh/nKB5dx7WLXjhWLW1i+YBxLZzb1O= //vP3QRo+ty1FdnuHbxeK6/oJV5UxoIlGTcqEraj/Rx5fxxNNXm+M3mDs6f3MjCaY2893UzGF2X= o6Yyw9sum8z3Vm7pNwzdu720oZZA2sWAETtw5B5rJA+55y+GOWCYCEm/MvrpTw31c+ptZCKIw13= /5Op1Mi0ZXuOiXPtsqLaUbbCWOZv9dcBIX+onQvQese6GGDy+TkSjxJaNASEEUipkmSA0w7mA6f= ug/OonO46GHyftz/70/76qIh3HMuHVeCMdEwYZBA57LzCoQBELiLUk6iny5Pp99HQ/yifev5xJo= 2uoCBzUSnl+RpKm1CmBu38UgvOmVCGvWYyUljVPP8/RHz7Gre+6gvWbjvLrVc+xcesBilQSaklG= hVh63eIehRUSba1LqxqEnhsg0MYRu4WwBDYiSy9jaiRXLZ3OzTcsoKE667QjPOYwydGUgmvKHdc= 057TgaHfEbzZ28Pz2g/REAVZl3Q67jb0DYbzyRpLlxpatqgfYQE/T4knRFmMNBpdiNzaGCE1WKb= QN6OqEgwc19VUCiDBG+QdMoYSguirHwYPSV91g0QTSeO5HSIhERRFNo0JuuHoBC2flqAxd1jApA= OU9dy+gEVmDNhAoiTaaUCp3nFcEl8IipUYK4/4WibNSBBuAUBgrKBQt3T0RhaLBCqjwE1DyHrDW= RSj6YuPw2VI4YUUkMqwkpo+egqEvcg5Fxro2GgNCuxtmAEILgfX1caMMoZg+McfcGU1s2VpPe1s= HGZVkN/MkuLJb4YIv1kXO0sk0gU28tvfhXkl7KT0/9EsjiWK6/VmpZEmXI/nuVXK7r/3fK4f97j= P/vpbP/Pva9H8J3PnYTu587Nhwny/88Nl+/3/im2vSv5Odxoc3tbm+/6/B5//Z/3uK/+0jJ3iCe= LklJPGBNvC4gSYsfO72wed+9Scb+/1vykbFH3zrCfeZv993PLIjjeoAfOxfVg8q75GNbWmE4Xj2= yMa2Yb+7/cFt3P7gtkGff/wbg68JcLinyNs+f3+/zySCT3/rCT79rSeOuYC56o/+Z9Bnx4IkfeE= H64b/Mjnf/0437MqyCx1vw/lYi7nyxA1DC9Qeo9wBZRxj7/0MtZOFWb2EKw5FuB7KkfO8naGiCS= JRRSvX7hDlkMPh2zJUpqjjZY9K3uHHKvNYUY/UNRL9yeMjiTiliDFRcjxOlGaRlnGc814zTgdSo= FQGjCGO3H56EAYECvLFPqxwKUhtWEWvjti8s5N//reVfPDdVzBrUhOZMuK0lGU9m2BSLSgL0yc2= 8LqrlyLCWu5Z+Sif+2IbnX2GrihLLHMIGWK0pagNQZBBSou2EGknhSGV08mIY0usDUEQEihJnO8= ilH1MGFPFFUum8fY3LKa+KkDiT8RpcsTEWAIPpiql+3WgVJduKraw72An9z3yFJ15SdFksDJwix= MTE8UaGUiMx+aIhKhAWtggT7h8sZuoeyY7rkJKJAqlJFJlCGwRpWOKUUxPTw+KGjSRg2IlkQgly= WQyBCr06d4UgbBgY6K4iAgCpwAvobUpy/KLW6kMJFKDif2OvgooGud0aAHatyEGQhXg5DJ89MML= pmkTu1TEfuGvsQgbOYcDsDJk2852fnjnfdRUv5GcKDBrQg2ja3Ou8cqRFGMp2NvRSfvBPmIdUtA= KK2o52J2hrbPIpu1dPLkxIiCP0hE5AaF3OpwDY5A5Q0trLY0NIco6oT/rdVwmtY5j2uQ2DrbtdU= KF5aK76e8kQlW+U2OGy5R9zs5WE6Wn0kAKq0q4HJ7NM3C/7pyds1fMLpkzhlyoqK/M0FyfG5Z8/= kqZi3aceVn+7HHQJOesvw1cqKcZ/gbBiWz6/SDg1Ukwro+bgfAkyeZDZ6/qdwQgy3gcZ569ZpwO= Yy2Rjt0tcXgmdBQhjSUbSApx7HbmCSiSpTuWrN92mO/e8Rhvu34BF5w/EbwSt00GTaKj4XH3blN= dMHlsDSsum4GSlrt+vYaIGmLtYDQqkyEWAo1wu/eRF52TklhrJx6HcxsDpchIgenrpFr1Mb21nu= UXTWf5xTOorwl9WlS84rDjJZSCftYraCcetBMaiYxgx/5OVj+9kxd2dlAkhyb0XASbiu0JlH8Ol= Ve980saK5KL9t/BKPleqT9iBMQYv7B3zpXWsYOTaUN1VcjoMZUYLCEKpULPcIC+fB/PP78Z4eum= Y0NkLZkwgwoUGoE0htG11UxrHUttViKNa7MNJRo41N3Lo7/ZyuNrt3C0x2KtQtiYUbUB737b1Uw= aV0XgVfMSmUEbSLQ0aOH1NqwgEKHTdUFgyFC0Vexpj/n2f/yKCtXDB955OQ0LpxIIvO6KIBawct= UzPPjoZozIIcJqiibDvrYu8qKKZ3ceZPftvySk6LREov/P3pv9WnKceWK/74vMc+6tW6wqFvfiL= oqSmlSrtbQ0Qne7u9Xj9jbjB4/hN8MD+8Hw9uAHw4BhP/kP8IthDGwYY8CAMbANjB9mMWa6p7vd= Uo+kllobJTZFirtIikWy9rp1zzkZ8fkhloyIjMyT59xzb92qOp9A3VORmV/sEd/+NZiSQk3cJvD= jBp95/lF847c+g6994SmQaEhjwIpxZm8XZ07vwOgZtJlFuUo8T+hJ0Nxuectw3E1g/WepTUpJzq= yqqhKG407Lv7GFuxd+54WH8b/+l78NAPj8M+fwv/9Xv4t//b/75+F57Hl2XKu21TQIkgCihdDS4= c0RRGNsSnVYGX/BoCCB7Q5fBqmvQpnhyJ2pC1h6/DxSjcgmZ6Mr6E20JsjD4CI4kScMF7wWZHlY= X+8HamGYZlg14ME9w3TAOVETW3MDZgKJgZgGTAJFbQoYQwoLMK7cmuGlX1zG7p+9jKZp8PUvfgq= 1m+s4drZ3+PWahb2pwrMXzuIbv/05XJ8pfOeHr2Nxed/l3ZhBWEELg6kKHK/NZA6XgdvlFIEGNX= Ps0j6+8sIz+J3ffBpfefECHn/wPtSMENZPyCYKNPCZrMVpKCT4rtgM24RLNwx++Nfv45vf/Wvcn= DFmYqNyETGMNDaxoWKY1oYM5P1BXLIce4JGTAeJzY5NrSTG+oS3mcmdjshFV1qACGgajYNbCwA7= 1kCNrPM5ANRVjQceeBCXP7kBiNVEsLDN5E3KmY4ZPHB2D0889qDTkFgphiHCAsAHV2/gH/3Z9/H= aWzPsz6eA1KhkjiceqnDlhsEFLairaEMRgasKWho0RodNCihvwAYjDI0p5osp3vzlDZxS13D91g= KGBJpsLHdDNRoAFy/t481fXoXwHA3PMZcKwgrABFdvznD95k0oM8ejD5zFrevXcGoyxQPn7gdPK= 0A0BBWuXJvh6tUDwFjGj8g6i5w9W+GBBypUFTLGwtoD2LabzoFFMVe4hbsCJEoEqBSDK3bJP1uz= Klp6lW5hC8cD33r5Ij73H/8/t7sZXYicIEmWn5KHy459ONju5c3CWIZj6PvSvzfPfJT9ZeJq2nw= cLTPlffrWa03/l+tEWCsyHeNTxd9BINZXIKTII7Ghz4xAjIEia07ks4Q3IECdwtWDBb730w9hjM= FkMsGXX3giRCsiR2Brb9ZArpws4/HcE2fxb//NL0DB4Mc/fRsffnwDt7RGzTW0AVidArECa2PbA= A0m2AR8ZobdWvDo/Tt4/vGH8Y2vv4Av/dojeOjsTnBsE+dQFvHqLmwqHOOCEBFKiDAzwM9e/xDf= /dHbeOO9yzDqHLRhK6EPC4ttaN1G28Vrvb8BwEauEmkZj6heV5lri2WEPKMhIYWgApGymhICGm0= wmxvX4irBqeoKDz74AK5cvmmfEkHBMWTiogJTg73TNc6dv8+23jloaBCu3JzjF+9exsuvf4gD8x= AaOuUS5THACsYx8QqtH4YdN45CJbZO1+S0PyICbQiipjCaYciaXllC37gww7XtOSuoqkJDFbRN8= A5FAHSD0zuMpy48gk89eR8uPHweB/vXsTuZ4P5z58CKXTJLYKoMnnzknJ0H4WBTursL7O3ZhUgs= UZZpieYjElsQgWTry3HSYR1CxpsEkLJaDlLKaT/b/bk1rdrCnQgRH3DENaDlzP35L9RGr+z5erm= dfYx+M724s0mz5f4FR1r7oOOE12Ak4v4SloT6GYLYnCsvXw5rml9RS4f5Nd3VzQyLoY5SSNWr6b= idXPxRAUG5LM0GBg0E3kGXQcb6QGgSCBoYKKjJDmYN4fK+wfd/9hFm8x/gvvsmePaxB7DHCspLv= 52s2QfYJee7fKoivPjUFKf+8At48FSNv/zRm3j/0k1cnd+K4n4rK8EWbW3vNYOVxun7GE89ehpf= +fxT+O0vfQ6fenQXpycM8r7rYs2qWlU0QznHJ/ZZ/dxqE2I0BLz7wXV863uv4ievfQDNe2hAUBX= bcMCBxK5gjLGRk4La0ZHeLhY6lWM6JCDRFrbaDbZ9NezC/xpMJoS9vR3L7FGF4OpMgNYa+/s3rd= O4y9JJ4rh44zVNC9Q7Cqf26sS8SyC4+MlNvPLqx2jMDjRXMGDnVG9cu7Wbe/sRO4ZRFgImdjla2= ugVtYsI5jPbgxjaZtlw+KxTOByzxeIjci0gYh3jFQjcLLBXA5974gH8a7/36/jG7zyLWgFKtW4z= ItIysGJNvKy/W5uF1vrQGGjTAJzclbFTR/u/OI79nR8A/t4AaS+tjuQqs+8VAlRVo5pUNhFgpE6= XSNq1hS3cKRATSuMiJ61RQ3wWOsmTzwdHzqnWi+PGSLM77xS8x9fdhctG4OgZtE3A8TuVJ1UXaN= qOhkOG1lsbScpTX32MRUA3QEcnZ3jRPGv8GNl7wgqZjbQ0QDzk3aYMtM3zXoWu9ZEQY3iGgeSAd= xdhQskgGoCs87WBNdvxjtdktO2/AoxUYK6hhXH11k384OX3ceV/+cf4r/+LfwfPPXgOimxoPSaf= /1lZAtHb1Vk/Xjx/YReP/O0v49eefxJ/9M2f4Ls//glOn9rF/vwGtGEQA0oaVC7k5WOPPIivfuV= z+K2vPY/PPrWLUwCUGIg2Vl/gEn3pyNrO9sD9y4h9YizzIQo4EIN/9Ecv4Xs/+SWu7AsWPHFh92= LzGw5byYZpNaG8ZTBM9F8rBRKXADFYAZIN8aqIrAuIWIbIGIOaDSakcd8e4eyZCroBUDFiY6BGa= 1y+ehkLs2jDgIbZNJaRQYOqYkymFYwBNNlM6gTC7NYcly/vAzy1vWCxoY+NNztyUaZ8aESilrHJ= Ek25DCeWJasYrIBbzRzGELSx/ipW2mygXB4XEKCNxlwvMJMJWBFIBGZ+gE89/Tj+1u9/Hv/G7z0= L1oBi2w478L6vxjE4NnRyGABqw/F6Bi1ks20N6qxmz3jTOKdpCgKcbVbykwp9h/aQvbCdYgYxuS= SA3tQxTjp1skmRLWzhToOT6qi7hbFg2nP1CEX7g0zpBvxAOkzPCV+X94xPBznCHRAYcoSi03IIG= EqsJLwiglLWuXuhZ+B6gqYRaGHATPDOxRn+p7//T/Ef/Xu/j88/9zhqABMR1GDoRQNSykoaDWC0= QCkCaeDMFPjKC+fxzJO/hX/zb34JP3/rXbz69vsAT1BzhcXNa3jkwQfwmc99Gk89cQrnzk6wM7H= J6SoyUGSzlpNzGrKRrlznpNU+QGuAGbqxC1FY4dK1Of7xn/4c33/pXXxyc4GGa+ggQYqcwsUTre= zEPSY4IwezNO+a6vwG4vgeTNZciUVA2oB0A9IMJQreM4IVQWaX8eRTe/jUhXM4s9MaVlmJrXWIv= 6UbfHLtimVmSKCdYzrDOKLK6ReMzRhfKUBFQWGrqsbOdBfSLMCqgZEDaC1YaBtNipR3wmm1Ky2f= oVJtgVidFvl8LaRhaAFRKjSeiaCgnA7FOaXXNTDZgzR7mJsaeztT1Mrg+U8/js8+/ySU2DkksSG= Zjcux4rVmzGQTSIq2vj4giNNuJcGLJdvG4UEFQLmY85w/3MJJhyh8YVIcaz2cWRX58LiO6QjGdl= 47GH9zsu+kLWyhAybSeCxbviRL1ri3T86LEJlWORvzxDxqaeSgLoHJhVdX1UiUaxtw7g0VFPpZk= FLLBpzcVweKKP3bcSd1I5PZuTraiGX9FkTteAxr9dIwCyISrSRufW1HLa5xc7CKfLJvj8Tk1T3D= dAACFg2hcKpE6lsKU203pdhEgmDraK4Iggpz3eDavMZfv3kF/+c/+Q5u/cEX8Tc+/xyUs9cHK2i= tLaHIyjIcTumgAOxNFKYP7OL8fTt47KEJvvT5CxDFqIiBZoGdyQRnz9yHvVMKVSBGbXhfSKvKE5= 8Z3TuUhG4QQAqNtvZCwoSPLh/gW997F//8//sJPri2wEwraGIIWXYL3kJRWm2G9Rsn99eqawQEI= g0hE5ZosqycxsAS34JKGlQyR23EObgrKLFzUPFN/CtfewFf/eJzLvme20vO6fzGAfDxFcFBo1FX= lWU4fPjaMHeWjWkWwOyW1U6JWG0LGJjWCmf2JpgoAyEN7fwuKrKMIBzT6WPZe0dxFLJ2S7DvBYw= xMEaDKoYx1r/bKnLYRTZrycR502DRCIinUFSjWcxxeofw2KNTPPqwjT5G0movGrFZz41TlTAYim= wWeruXddBaIFwWrfqDJL88/dpO98EW7hwoXVL5v1kxqHa+HGT3rZF2pq3i2pqObGd/C3crkKyvw= BXI6M2xLN9C/t5tM1MXdInPE3cAHKX3wDCIRL6PMkx4bxJWdV3o04bY4jgXx7rSpM3PQd7HuGX3= DNNBEJAjKK22wDn/etMUEpcgzhKzuplD1QSIDj4OXO/AyATX5ozvv/IJVPUKyCj81ovPgI3L9eB= OPiJxSdkQEu2REGohVBPC9IHTuKBOQ7iVPlhSUoOksUQueUJXrK2ed1YmcX4RHBGXdt0YkCWEmf= Crj/bxvR+9hz/65it4++JNHPAOFq6N3rKKhJ2GA96YEeTjYAXHY89VtVm98wUeeGaxGodzpys8c= v8O9mbKekQIoSLB6d0pPv3M0/j6Fz+NCw+csQS1o/MXxhLcl6/ewpvvXIZGDWaGAaEBQvaRQNbT= BLODBjeuz1zrg7MDzp/bwWc/dRZnTmlcPWiwMJXVPAlQM0OkSWJyB0aKJEh+YnMv/5IYcfk6rEa= iMQZG0Pq5OHM7BlAZQWWc9kYARQ3OnK5x5kyFekegRaDEsn7vfXgTP3v9Pbz1/odYAFhojYoYO5= Xg159/HF/7jedcSGPJbhMJ81S+cAXB88gfsFs4EZCYkxfvi/IlkswgkQ1GUSlAWQ2g/5QyhnM78= 1u486G9qzahsGsTmkmnbNT3IwjIQ/nHLglxuuTj6Ko4ybt/df+FjdUc/OTi+uMsjJFvxCbrLRHl= HSaxnLQQYT20zIZ1IMcKWo6jh75m3DNMhye9gmm8I9T8AWYIgWMkgQ0jK9Y3wYjNgMFqCr0QCCl= cvnUL337pQ2ABnJlO8MKzF6AIUOyZGZeJmwQkBuxDzxobxWlCgDZuQbkEgyQGRMZ6mgjaaEvOLl= 9cCFRiJ5EXn6nQghFAE9Aw4VeX9/HdH7+Hf/Gt1/CzNy5iofagSTmGwwS9Dgm3DEfYdCZof8hF8= 5Kg1pMoIlVsgmSlBQxgb2eKL774DB658DAOFpaJIwA1AWfv28ULn30aTz92BhVFGdO5DYz1yaWr= ePW1d6ExBVuXb8fuUIjPJQBEFK5eu4mLH12FwcOtXwaAc/dN8fnPPozf+/rzePkXB7h5q0LTCCp= a4LEHd7FTU3Akj5mLOHBeznDYhWM1QloMDCo03smerMO9GAOlbPyqh8/dh8fP34drt2xMq4qBM6= cr1BPbH03tyF+8OsP3f/wOvvujl3FggFljo5ydqhpAa/zmbzzXUaizOFO2qCyVWThDLDLZgXqSL= 6B7A/IpWGoSEl60f4KDOdvwuMQcItm177YEy9aRfAt3A7SmSUchIQ96443D2sng/NWzNuPiGY+T= fObHI3487UwzlWcMrOcA4ozHh1gVK81dSTuVvxKZVHnLjzhq1YkBosDUxXDPMB1Aa0oj3mk8hJ2= 1hDXESq4BxnS6A9PMQSyYkI3otJgt0DRAPZ1AaBeXb93Ed3/2AZr9Bv/pv/8HePzhPUwrbklxFh= g0TntinHc5AFGOHjSgyhK/IjYbtlIuupOx4XzBAqWUZVBcHg/yFDok8CT+9YaBi9cO8Bc/+CX+5= C9+jp+9/iFm2AGpUyDFULKAyMJFrIJXLAezM/IqR5dsQ2BCGGFrvuVzaVC08AmiG8t0sMKDZ3fx= h7//FSxUJJePkizVBFTSShk808UKmB1ofPCry3jzrV+hMTVUtMF84F1f80IbXLx0BW+99yvcmH0= aZ6fktELWN+eJh+/Hf/Yf/G38sz/9Ba5c12gaAaHB/WcUHr5/D1PFwea29WzxDvSxFMIzaNbpm9= hHjZrYEMCgYGrp2EPUIHzhM09j/7qNGibVFCKnoJurgGkchanQGAEz4eyZHTz71EO4eetpzIXRG= EKtKlQywyMPno+OGApXbmwAxhkvQa5XQsYxq3Eujy3xeWdAegMRRRpJ2ARQ1o9DJReOZzDoJJh4= bGELJxwOuzfGJg0ca5bVh/c2WiLdvdBrHbDBKgbWQ5to0DENicaFnDBTCrgcBeAYDjppDEew+O8= yXPcM0yEEGCcrZrH+DJ5IMwQYYhgi64cjwEw3mFQVDvb3wQxM6xp1rTCHtlJ/Foia4nKj8e1Xr+= HS//xN/Df/+e/g2UfPQMGGLiMYVFAucR8AUmCuAGdGxBMrxzfG+mKoamLbCkBYnDRTwDA2U7lnV= lxScLLRdrGA1XAIATe14J/+6Sv4F3/xMt65uI95fQqGToG4hm4amMZYjYxSNuQquyR4UThW/0Mc= gxaT5O1vDvk7ILDETzBKMpiqOnwJtEIDnWgtKXAlnsx//fVL+MlLH+LS5QMYMwGkAbU6H8skuCZ= wpXDLNHjv0nW88e4Mn//UFDUTlE/2aAgVGH/nX33ejg8Ao60T/t6EQMYAxkW1Chowgs0Xb1wvBU= QLAJV9Dw0YC7DzMKmohl4wmgUwqdzhYRpMUOFv/PpT+PKvP4UFAQvHs/29v/d/YXHjJtjAOr8ru= yk/9dgunv5bX8Df+be+AAHQNO65y+1RifUrIopZD/+f01wlKg8BqHH/LRL/JQqJHbfMx0kHr6Uo= RTZhZlRVBaMY2p7wbc6O6IKyitLtXG/hJAJF1PSqZNOKZjnevJpaU9jwSLqnoSlsmZJjeKeazCQ= q0jFDQi6v1vdvLNPjv2/bwWuO23EAr+GUfZi1sBr0hlWh5W0Owr0NHKnhXPdWsdE53nnH+ZT6D8= iZanSZXoR8XlHp8fmsZEOTC76G85vfzdAz/szWVEEbg6ZpMJlOwVyhaQyMCFgRjBhoMZgbwZwmO= FD34ZVfXsX/+Pe/iW/+1fu4dmCjEBmpgjmQO+ZcuF7rGSFinE02gTgKRivWVMe6EtuDRczCJsZz= WpFGBFqABVmGY6aBN391A//bP/gT/PE3f4xffXKAhUyxkAoLY9AYjUYvUFcVJvUk9wK3m83tJpb= MSTlERYAzcNJglxIxLGWJfEyMAURDAVACVBBU0KiwQI0Gog8gYiXvhoCGgAUDF68C3/7B6/jRT1= +HYAKCQs012EkAJNhBWYZRGDjQGm998DH++Jvfx81F4xJ3E6SxUcMU2+hftWjUEEwrws7EH/gcN= BiItF4kBgoSGB3r7G2cY71Y/xSuIVqgteDixwtcutLY2NjkowdpVCSYMGFChB1FUEzYv3EdH354= FR9/cgBt7FCBDJgaVLTAlBfYZcHpmrDrvq0yp3ZEG5u9Xw4ybsS9TSJgMUsiYmzhuCEOdTz4Xky= QuLk1ZH2KoBiobSJA9OX08Ozm1rRqC3c5hFDifUtdbi+5YxmNTe5Dc8IYjpMuyGqFoghnq0TlJw= fIC0IjTUZ7hnfHuXUmP/lwV2QkH2uu2Arx01B44pO9iASnb3Z2fVYq74xVjITQqkIur4QAczEQQ= 3j5jUuo/vgl3LixwFe/9DTOn7Up+yxOH0iVAKqTRC7eoMcEw682s7n1UhZrisUCEbJFXEOT1XJ8= fKXBy69+iG//1V/jxy+/g4+uGRyYGsbljCAYQBZQTk1gXGhacT4Q6SJ2jtRugALzQwIyGpUALDO= wMBgLGNg2VOxNn3xOCauhIeex7uUXvozdaDQCzAV47yPgT7/1Er770ju4tN9AowJXjKaZQYykZD= e55HwiaMC4sq/xVy+/i8f/7EF84+tP45GzuxDH8LBjFDhEwLJd1XAchXb6Gwaa4GdBUEJQng+jy= n1DMKQAKIhh1KqGaRReef2XePFTe3jowcdBhlArZbO3uwOtTSZkzfdefeNt/OzVN3D+oRdsO112= P4Jx2hSnVnXLJUi7Fdk+i507b1JldNu3+AhVqgI3DSotEMVowHbt3EEH1N0KJVPhdi9GkXQi1bk= Wa+wIxajqGjypIT7zeOTrgY4ETSL8dz/ciyt7KJHXyYfxUthy96LbofhCtP4lNVEsvh2bvKwJMd= 1AvsSbMPu6Y+l2oa6hEZEVN3O43QtdGsJE6DmsBmtZhrUPWp3QijqswZZYIYzNqixinBYKEaMR1= ZIMULk/fWO4ymrp9iuiFcLZ7QTO0cvMPpy/FXCSi+QpQtmo5TUsG8mh1q+2D3pDPLh+3TPmVZSt= CvF3u9vwrXDYX9pWmh4njzOeGGByIfashFFDo1IK12cNfvraRcznGldv3sLXf/MZXHh4ioqVY0Z= 1LKoAACAASURBVC10cOxlpSDGL550SZCT5vswskDEoHjimS2x//Z71/CDn76P7/3wbfz89fdx7Z= ZggSk0WS0Lu77YBQ0IjAunSc5DAumhHZanuHFhECmLQ2vn1t2ASUPD4JZ2Cg7yRldtnoAWr+sDy= JoCEUET48YM+PDSDG998AleevUyvvP9n+P9j65jDpthXJEAXIXoVY2LyENiGQQDBniCmVZ49+JN= /LM/fwW39vfxhc88gWceux8PnqntAie2Wc4dHoF19GZCwoz4XCCCCsaw85OxxksgYE5AQxUMahh= tqf1aVXj1rffxnR9XOHd+F5964jyECMoR+B53A2BugAXt4I333se3vv8Kds6ewbNPPIbzZxQqZp= ubw1GQzHDBDRxTJIBe2JQcjQstrEHQpkaDCRoQFtQSHw0IWioomoDFQDQgTosnuePcFm4b5JdVe= smjdQaHWGEBu7wcdQWp2K3XJVfKPcJsxHCvru/RAQlODKy+OIe7VyJXKfo3ja5zo8PoNnYm3lu7= JhnowzJs6xqxHZas3vR3+Qznz4psXBIat1RXr5psaTtWZTxSHJE5VUyPZdV6OjD25zDdG+RQs7w= JGKIwBjKS3/2QH85dI5YykACkjSNarcRZQFhIhRtzwU9e/QAfXbqM/YXga196BI89cganpxPUrF= 3cJ8tEmMghmMUxGEYccd6KQcRJ2IUIhggHWvDR5Rk+uHQV3/vhe/jOX/0Cb733CYR30dAEmth5J= MQanKjf2QAkyzQbk1azY83KyEXommngV5f28aOff4RTyqAKPhG5vWSQ81gvEAIaozHTGpdvAG+9= v48fvfwWXn37PdyaCebGjguzZfJqnuLNX93Eqdc+ckkY7aJdiOCT6w3EMVcHC8arb3+ETz65hl+= 8cR2/8cLjePrCDiYVQesGqrYJAQ0MJrXC0489jNNTxlRZzkBcgkXhCRYyxTsfzvDj1z5BBWM1XM= qgAfDBpQNo1CAwdLMAVwofXbqJb//wLWhi/OaXnsREMVhrKKXAVQ1DCnMjOIDCJ7d2cPFGjb98+= SIuz17Cl7/Q4OkLFSo2qBVjoiqIsUHJjAvnxSCIISw0gScmJBF864Nb2Dc7+PgG8PIbl/DBJzed= zgzY32/w2tuXcKAnNrkiFAwxSDGg9T0j9b7TQJzpoBd0wGlABbA2vMo7j5PTVp40w4CTAYchAO5= kuLMYjk0DoZ+OH89sHB/cGZO1KmuUj/KR9TKe7jFTKxI8VU8alIIR9I6bRNqQOxAIAH7tP/y/k1= lI1Dkrzk/J+SpUFjtrHRHVM4R21QM5hLzPncxcOFxmApOCaOt90RwsMFWEijQYt7A7bfDlL34af= /C7L+D5p+/Hub0K01qhiri94DPgglvpRrsQmC5ilHNpnhlg3ggOFhofXb6Ff/mDT/Dn3/4Rfnnx= Cq7PNBpSEK7RGIOKq8hZeDwIUjMNAUE7k7K6UjDNHBNFqNCA9AK7NeOxhx8Empk1m0rGiYNcR6g= Ny1sxcGt+gOs39jHTBg0p3Jw1OFgY7J7egzZAo+3YKhLoxQKPPvQATk0UqGkwYcF0UmH/YI4Pr9= zEjYVAVRNrKbWYowLApgEbjVoRTu1OcOPmdZw7dwa7uwqMGR59YBf/yd/9d/HUIxOcqmy752C8d= 20f//3/8A/x2utXcN99j+LMmXMQPYfQDMAcDQgfX53j2j6g1GkwKTTzfbDsg3Fg9QuKsLc7RXNw= A2f3TuP0fecgvIObcwFP9nDxkyuYzecQ3UAvDrA3ZZw+VWNxcAN7OxOcO3OfnXMtaIwVW7JhMBR= UXWGOmdPaVLi5P8e1q9fBxHj04fOoVAOSBSCCxRz44KNrmMkuTL2LRiksoGFEoxZnvrfadjgcRJ= tv0HHyGLmh0I7DUGprtrckpSPpMh1ChEYsowlmcF2hmlSgqgIphomCWW8Mjk3qNNKx5RDAGxid2= CG/b2ToiJbuWJym0DJ/F5ecpA9T1+2EwxiGBuFb4sQn4dmR+r1F2cHb3CDDPclbYwb1Gy2UaLZN= 7LIxtKAUjtPxe2M1hiDej0N9Fm9W5f7bNNPRlwRv8JtxiDtFBNU6ZgdNB4encAESaAOb+SgiHv7= 0//i7dM+YV20SSGBDuYqBiIHRDA3C3uk9zGdzLDSg1C5m8xm+8+O38JNX3sCXv/Acfu+3XsCv/9= ojOFVZ8x6vFVDuv2ZhIzIZBhpj/R24YmtKxMDr7x/gL3/4Dr7/49fw1ntXcXMmmGMKXTEaCBrR2= Dl1CmamnY/A4TuqKh861zIDELISc1OhuWXQfHANoptOKDefx0O8zaGTNBlpUFUKWk9teGJm8OQU= KqUxmxsQsWXkjEAToZ5McenaHJe0gdEaBGBSKcx1A4FyjNoCWjdgY1BNlDMpsxty/2AGiMLVK9d= x/VoDJQfY4/vwxGMT1E5U4t+dG4OLH1+F5l18dH2OD29cctKUOQRzKMUwUsGggp7PUVfWIZ/VFK= xqNDCYa4ODmaCW+zC7Tvjwxj4M5mhQQZTBQisw70FVgMEubixm0AeM+a0JbsyAK7dmEO2c1olAq= ABjs8+zsiZthjUamUELQGoH0hi8ffEaYOaomDCpJgBV2Nc7wGQXCyEs9AKGjQvPfOdKSe4VSIwA= XAhcZkalFBRbrWebUXcLW9jCqiAbSjC4Vt3JfbmFo4Y7dZTzKFZjFBwnXQmyZTrWBHL+zMwM1BU= W2uDmwb71bZgwwArGEGYHB5hJjb986X288c5HeOLRs/jss0/g+Wcex1NPnMa50xUmygaiQWWZCx= AwE8InV+d45/3LeOe9D/H6m+/j/Q/3cfHSHJevLzBvJjZ4q9gEF1wRKtGYHcxQ2aC9G+mjSKuGq= SsbSQpiEyQKAzMX7ldg4FNqBLMql+VdIhJKQC43RQXyEf80oyJuzYlcwsP5bA5d+QzvBFAFIwa3= GgOoymkEFmDT4IHTU/zh738dp7hBJXNU0FDepdo5ojMLpjXj0YdO45QbIRYrQWqcYOHWTNCAYJR= CI4TGWO8RUoB2GUKJCZWq0My0M82yjv6aBYbZeZuo4NwlTDAiMKZxDJyg0QZiNBgELYzJzh6gNW= aLBlqsaZYdDoEYQIzLzcKEptEgBTC7PkwrzGcLME1gRKFZ2FwqmqZgUmACKjYucIABy2ZjqGxhd= Rga/w5PyC56ieLwnzW7vANE01vYwkkDl8g2cRNOKLVUI7Hx6kPi3S0cBoIlyrL3ELtybHLUj/b8= tc1t/WKD8Nb7IXe4iyFflZMDW6ZjLSAwVS5SpVgpu1IQF13GOiTbLB3CO5gJo7mpceXaTbz3wQ2= 8994+fvTSuzh3hnHuvgn2diZQRJjPZyClsNANDhYaNw40PrlygMtXb+KjSzdx8wBYmApGJiBVw4= ChdQNoG/WIefMKYu/ECiM2nDABRrtc5aysa7wYK5HnNNGgI5kTIsplSLFRlNwBYLQBCUGRC7mr7= V6rqYJiBSNWsUxsfWEWzdz6JRCDibBTV7j/dIVvfP0Czk0phMdlrzIXzwMRFDN2d62DuWWSrJP5= 5WsH+MFPfoW5rtFo2OyFjmlRdWXn2ehgE6p1A+IKrCY2lC8RFAMGjT0YuHLa+zYymT0ltU1gCKt= Fqmhi+8M26aNwBcUTm0PFmMC0CFsnMm0MuKpsgkLRgDHWR6iuQKIgLrGggCyjZFzgAp+ZfOtEfs= dA2EeO4WDHcIhjOE6mdfIWtnDCoWfTtDEWLRzdOekk1veK8+wRwqg5EmSTvqmZPT4z1JB3o5CX4= /a0aX3YMh1rgQ9TBpf4zwa95YqhjcCIdqFuGVRN0Ahs2CEwbswWeOuDm3jz3Y9BMsekIkwnFZiB= +WIBYsa80VgYgRbnEK5qGNQ2qhIpCLHN+QFjNSSwknYYQgWVxT84ZE9dRCTjQs0ZDWsfGcK1CYy= 2WbVTZz2v72htZe3et8STaQxEyDEyBGOM03CIs8EEWLUOU/ZbCbGr4fxhKghq0jhVN3jyEYUH9q= aoxYbLbb904+FDdFMr/RAXjvTix9fxp996BQZT22rPGMBGotLOb8fFMYYx1imeVYVGrGM2iX3fu= mJY5qrNFu9CCMOKaAgAhb47UzqX44PJJpTUjvsSGIAaF3lK2/5b9YdlZ4zFZUfDO+KzyynSOJta= G5qrlZRs4USC20LeXlnI5Q6qKrBS4fKRYMe/ncwtbMHD4Y2WuhqPjYAPFLMWyjTgC3patpmToL+= Bh6nz2JzLC/g9PXHyT8q0hT51RcxkUKL5uDNhy3SsA0LW4VkssccVY9HMwKzAPrSlGFRqEpwlGy= 1gTFBVUyxgQNUUig32mxmu35qBK4BoisUcAHYAqiGkYMRqVbTj1sUxGyQLgIBKWWm/GEA3Li/Gh= neXDXNrLDHkomuxo+LJ58LwGd7JZ3qXoEiOTauMS67nBtLiryyBbMgnP5TWeVNrl/xMrIZAbPQs= xQwyBtTMAJmBDAfXdeMFxGy/sYS88zaJwuQaAhYL4NKNffz89ffx8ivvQNdnLVNiyIawhQLm1iS= Jq9qGrnUMkRixWhixjAMbY/1VxMBoxwg4JsWHK/Y5SixjY9CIsaZmxC6cscFioS3DpSqIeOMvDW= 2AihVMswCRQDHZOgRomgZCyqeftskmtYZiQeU0SGIsk6hZ7vEoN7cfSqYbIT9OFAZXXMJSVSnLd= DCduJRgW9jCSQApMB155MZxkN5Pm4HVGY62FT66S1S2orN2GJfBNgxT5qU7Y4wJWtGq6YiYgBhn= cNhPTtOTCqUQCakPR5xf66T3Zgi2TMcaIASQkzqKGGceY82rmBkK4iThhGbeQKkaUNY5ujGWEJ7= UNeZ6AaEaVFdoSDvLIu9aXoNQQ1UK88Xc2XULmB0BaxZgZmi9sAwNK1TVBE3TbDT7sDFWms7Oj8= FmgLCOJ9rYrOKqqhzxLdFhD6dhYJC0SRZrNcF8sbDvkPN10Dbqk5AzowJZ3xEiLBor2WfiEKOBi= TGf2QztU6Wg6h0I15hpwty0i1qMbYMRAYw17FJOkqy1PYw+vGTwJ9/8Of7fP/8rNDzF/kyDUYPJ= Bjf21llVNUVjFlarRTb3CdcMszAgVlBKhSSMZMgxEezMy8g5zy8gop19KVuptQCVqmCMd6JnaNO= 4nBoEY7RjWgyapsG0Om21KMZpOgQQ0ahUbbUcxtl6smAxO0BdMYwwoAkkXk27JVtPKsR6QnGhqh= H5cnjTKiNy8j0Gt7CFLWzhNkKbddxrDW53i9aDNCP5nQ29Gcl96K0tdMEEe0xjpeJsh5Fs1j0oE= Wve0xhURCBHOAoAsIFiQQMNYR2cQUWcWRQrazjkslFqra2pDEWJbcSGTrO+BMoR7Da0pii1pnSn= DHah28CTC62dtMP3xfLdjVjmI90Syv31PbTmPRoAe38HtPEcBQYNSSqrEpubwBJZlssnIZupW00= gECxI46YhfHyD8KOfA2d3NWq27FujNYjhtAkuUaIYGEO4dWuBX7zxLv76tXfw5rsXcelGg4Z3QK= qCCLfMH1kjKyMaQpVzOLGRy4xurBO9ANq3DwrCbdI2q+iyPiASspST0xwJiBS0NK4e13N2TvUmm= kchVDyF1gSIijRIApCC8VlJCTBkrLlazRDS0KJtJlPZyhhOEsSXSKLd87k3iMCVDZVsM9HCab7a= zLXbM3oLWxgJJrpbvB1jQVQvdHRO5OMhCift/0TnRbhdC/s/ZFQvEKnDGm6KrBB80bBMfdWwzHE= 7vHHoRsea2lDIxtjgNt4C4g6wr8rAmdURBTPwwwWNPhnQS4VsL7MhsKGrJBjKtEn+7DnmFkuQ/D= vra/JEhWnxOAxhaxAFMyWICZZ7FBiOljCxwBDr0R7UsIZWz6/SD74vXvoaqZ6DxljSTLjh1Kbo8= Iwzr1NQEoauUltHd2x6WsYMQ4K5Jly63uAf/pN/iUoWED23ZlRKoTGNy6VDENNAjHG+FDUuX93H= J1du4tYCMLwHQwwRRutH4oMq2rDBzkAssqY07vBUifth+1xas7MocHCIDe/HIeUt2h6HuPJ2nTE= UICowpHYNmtZzxmUqBzk3YxYYr9VgAhkJ476F2w/xGSte0OONAcgy3FwpG63KBYnY6qi2sIWjB6= E7Y6NRQfDgy2y+hkMSqEfsNrZx9JFpd1Tg4A6Z1Ai683dnMxy41zOSrwuWSBZYuT21xKMn6QitS= ZEjDr1kWgKJ2EZwkiiBXrukrP0/iQmEYuuQ7XFRS+hn2Tk3tZlJ2LXRE8ptP1opiGmTCvqN4hiN= mDtP7C0DfnHjRdmT+E0K2psYI2BNiwCBNoTX3ngP0iwg2oBZgaoKjWlgYEAMiNEQaaw+oqqhjUK= jCeCJDXEsTnPl0jB5/5kwruQSIIb90fbdeGbDzVfIKi9pX3KJEGVno0ROxJ4Zbb/lmFWJhkvC6q= DoyKUgyRPnjK4jfFs4CSCFnRpytCiGqiobQMAzwX6/3LYWb2ELJxgoP3MdjCBqulqAze0y8U4M2= fnf3f1r+H70MB5rtTPSXCTtyaVjnUasT85361wdUkHfncZa5BBpwMO/754Tf2tvsQYkpi3Ob6FL= OHhmwQdMjVPkkTPDIh/3KmgCKLJB9FL13HUokVYLLVGZHq6n5IjdVvZvQhvCQeo3emA83CklbZg= 3/5bNhO3HzT12dkgd1W7nImgPFiIBueSM1lhTQQvBSA1SFQwxmkZAyvpikBCIXfgqY9BoAtlkF9= b3wngtjknHu1N/y/zYsWAIdNIuiO9LmO12NPPTMP63i84V3x8SBsEypqkTfvsfResxaJacmV7IW= e1M9OQusQ2908En94sZdrsVCOwYDq6UC6Rwp1+kW9jCMUFBoL1MCFe6Q4UK5/Uh2uTvy9bBudC2= NS/zEuOxOfCMRz/+w9Sc6yIOi0Xk7jgs/T3t3R3uFtgyHesASWZTj9bkJbIV9anxnNGL27dOYi0= MSkKYJnY1SV0IhHqbDiyYYME4wnLzyYa8VN/yFV1NhHXNNkXpuSeewjcS6UsyiU9rjtbdWsEQzZ= umhSZIQC9GsNAak3oKwwrEFbQxmDcNKmJoxzQR1fCRfcWYEA3CuChUpNp6uTUNTc3CklC8LkNk1= Gly/UwkQyVNbyKTkZbp9OyYt6yK/t+E0YmYjUjyTeJ1aF7uoxxm48aYtwzHiQMKNJJxejUiBisF= VVUuZrXbOUds6rCFLdxtMLxlhs1tJHpr4+06AgbBazfuZdP4tu9Fddcxt2Z9CJqqKGLV3QJbpmN= NaIl++DBJiaS/TZBnnH+FN5XhwHQgaEjEOigHAj46DEU5Ut0EfL5eT5Dav3xEe8pqFHx3TEJke5= Mf13cXLcqlhGg1HRGxHBzPoidUkP60tUc5C6Iyy8hpG9WqsiFrDxaNJdTQAAxMdysQuShixmJwf= 6Cdv40C4KLOOpM5AzIKbJxZmdMkiWMiGMZqo8iG+BVI0GqQMNgwGAaGjRsrSfqS905Yh39RWCet= hM0yMbaMTXv42DEht55QWFPkmJSYGW7J2xPgKXnPgw9vLU5KaYyBYULFBFVVUJVyjG9rVuX3e5B= s3skhWbawhSMEH00xp8Hjk1CCNr69146ft6dBDUe4G0c2Kg9QMar+gqVGXv9JBxHnW+r8KL3w78= 5iwqIoVdTe5d6vM2GqPB14J3Vvy3SsCcJBw2Bh+DQwRJFvRMvBilAiTbGmR+nh1wawYPeMM/I1J= VJRJG7XA3EOySZRM+fyn1ZLIdHhxYKsJx5M+rl7bPtZ0JjE0TOyYdZaXPI0giGCKAVUCqKtwzgD= 0NrYCFhGrN8FVSBWISKYN2cjGHvQOtMoCtoZdrWbyGTMxC1sPeGDHRlHviBtgsP81hAyEXOKoHr= n4FifXQbU+pi02aoRGA+vCyG3rjwe8YeXUGT2t4XbCSIC4ij5JdnACMqZVSlnVmVcRDyJfba2TM= YWtjAOxl6Gxxyy6mjNodJ6PNxZxPd6EDTCdxykdz3F0Syj33cDbJmONUFKDrlxqDprjJ84AntTK= q+5EDYRNmcqgzhxm4SoRBYz++LMT0COaFEKjHdE5tj8yRPmbXtCexMiOtdPCLhD8vr04OSkK/lz= xxREHtf+Dcs4MLQIGmOzgxvvXE8SYnQr2KRqGjbDuxGb0Z1E24R90DaEbZgv12cCBDpobrzUjBz= jQbC5UwTG2v86vwsTWtkyIbGPi4Q1wIAYZx4lrS2XH19pTW9ahqPN1dAuBK/z0NbHhVoDqzYqkl= 1HqZZsCycJWDG4qlBFzuNAl+EIITGjC+luupS2sIXDQn4jUnJn3l5IZE/HuHEPbX6VhPA9ArO0i= Gwa923rnD+Mlgor4uQDxQLLwtOY7kr/4gSs8n64PUzHnaYPKkJ8hEn6OyLOPcSEg+2/tgS6tNJt= OPJQAsHrTSc4ckP3YXV9uNXIvn/D28qbFHmNh/c38D22kbU4SOiF8sVvIsbD9UBiZo2i/8rmR20= EJq8FaseaqYIRR/4rtu76zhTM0tpWQ2OMAKys47hQZpFiABcBKxiBUchEEvJthBCKFN8aLpcItV= ohJExj3D9OmUbPFIXgAYg0Vq25lpAEjUiIppUcRC1TFprnfgXGJjCu+ao8RgjaoIE1elecC+Oh3= S1uHTDbnByVCjk4YgKFKFWvk/hLaZMX6nHOwVFckrFxzCb6cueuyZNCZB8XhPsv48ITpXAR0nwd= RzJe/p44CtwrQlnLktEw5S+zdzcLrWBlTBUyKEATSLL+ReKrW6J+xn1aVrbps2UJRMLnFFrhZP+= zkwuO6cikAklfDt8BT1JS7yBuBo6CZiEM7cMxY9N+7MchaDPEhHfK9prpAqdOuXvqHNtjCehakI= fijIieeBzCsna5RJDR4aG94bdnOvLWSxt9K2FY4n53NRz+kREDI9YGkhVhoZvWzIgoEGlaazDYa= QB8HhSXN0UQboOQFNP3LTLralmjdq5i7ZPNyWIZtFIULjjtVix3KTGJCTtBjuHz4xhpNQJvEvKA= tN9EepA4NWM0rLdJNp4kcyk8S+A42nfYA1p6fo/93J8FFELkUsWAskGbjbQiP8qTtWZ7ncKZkiW= 8KZVh6Fl8wXZe7ulI3/sjoM+ZawVIakr6PsbUYmw/S2dwSTPbh6OvbAmO9EDoxkMXsiHZhQrS/V= Xm0Qko4vnwJp6j15NEAVUG3o8EN8umZ/zulNCEIHaR9M7orStPgJe9WPpu1VMjpnXjq06GW9bBs= do2odayV9J60nERZIvqkOfvut9KO07L8FE63+kr8bzHHKekZcXzu/TMJBYQ+Uz0msqF19Jn5Vs/= vYvCZ61zp/vD2V0pXaeljd2dR3MHu1Ta+WFVHIe1waIw2aLeAN4V0Yx1yPLvJQZUlD5rq84akRz= a7hAm0xKiZDeEEUAiij6bgXbbB6l9/IZuD69AAA9z/mMgY2XcHxf+1TuWCYd3u+3Kh4IKPijZ0R= dJ7RMivGNj6yX13ifEJcxzIWZFN6ijRUtwGg5isPIHq7Y6ByZHrPuoYs7oK2QVLx/OlK0db7rEw= TeHrDaGOIpwFvWaUlxhMNzYxn4z4pIRtpKZeL67h3PM6HidVEuEpO9T4pNyzDBqcR5X+9wuo3G5= S4pLXTo/xgFFARIYoIpBFUEY0BQ5jidHppvZQMRRmkdGHOHYibkMJxyI9yK1ZZKu035CqICj6Ge= 2Bqx5aFE+LwXGbLjKtC/iCe+EcWkJ+1QImmY1paXj0Wc+mpOTUsZBDgflB4k/fUbgKLbDMzgSHx= JuvQ2tpwxHpHVv3x9Yk0vu4s7cLgNx9ZHPlRQhGlyhJqnHE5CBxCyZuBRMgEYtYcmWUPh4POOB0= btN0uksIQKc8COG9PxdLYrv+hYXpeiVHYYwL3JrLghcOzi8iiPOm+bpsohgD6SDSc3Iwj6X9FwI= 4JIGdxaDhLo7DEkk67T/9qbP7rfrF5GJ5i8jQKO7vazn3gSNfZRMh6SXrk1CZX8Xr+Po0ospeVP= kVnyWAE6kxRb6DuH8sPRl6fvikuf148gZHS74DXSlTT65n4GNRJRmr3E4Yo7AE+UyjniBMNhlNG= +NcvouLHGOwqUs5nlfIgf3HuYn6Utc1rlM2ebCCFXyWjgsQc2rtyMaq7Qv3XaQ1y4EHPYCFLc+W= 0KiJcdDXcHPQiLJYNqIQMz5Yyuceu14twQMB4f0lDiI5iW5CDzH2V2TnvFoy7x52tDeiPuQ9qVl= /st7o0yMrLa/yjjyb/Oi/EAtj8e4c6E0HiXoznO6JrtnnDhOn4TcerFts785elWiMieFDqjJLQ1= nPgWbY4ZUBa7q4PTv/bjaXklgh33QBc6ueJ9XIM4v0HaDw7O2i9x5f1jaVAqcMS6Yhg+M4PdZuq= pLtwaS8WsfUHJWBPqDxAVOSBxgWkloQthTxFxRVMJtHcmasHdBd0XaOUil9ux3aoe4jD3a8rL0f= VoZR7tC1seR3s32tw2YF60Pt56MWzsxLWSIO3MgRIV58e8XF0n4G+5FEnDnbM5XTXsu2ON55B3o= 5gzIicOcDqGozIT+tGNmEvk6JXV22yHUnmcSzoX8rEB0jrR3sdD48zqcXFJipqP7uXMur3/m2zn= r9mUZjvjMIx8Os0RX+PcDoxHnEaFOXySE9nfPg6lCvM/9X+4v63Bf3eicLU0QOYGGdd3ibumqCK= 2/G4RDFJi2++2dk5HdICibADl0u299oLCuV5vb1XCguCYrAN3Y/ZEVRFFYlMQQ9p33v6lV8yOrv= 4OrRKSXCAVflr/vQol19gv5cDDJBWS5yAKOUjvc+wYcddO1Iw4TG8aBCxIoip7FbSbnp5Ecle4g= y/pe7Au6ZdF4mDhnx4h2pGuEXPbq1frSpTOjZ2vjGDum6JT5y6p9P98LhXYUDqz0WanMrYX2uGz= XR19fKH84tCbzQRmzN8jVX9pf3PP+snaMqbMPRwqdEe6IiUo4Vul73/it0I5OnPTYEciNL6VJ+1= J8znk/60ubOd4zEGR9OaoaXNUwZMM5C3WNwPP2eqItrz9/T0aU9f3eJLQMUkoUZMC/YwAAIABJR= EFUxfSkv2/EjXuIvObfTs5a97JL6tmrHwv3UUzUJg1zdZbaHDM2UbmbGkOFFZa5L/nf4S9SPL5M= 4qbeJhxjYGg9hTmI6ijNSwlHl65oB7e90zqXRNjzbT6sFe6NtAHtOZ6sk3ztcPQsK0vWpHT6Iu5= Oate19+1ryyTCEd53+8f7D6Z1otu2nMNDPrbpXgqBRwTdsP3hN0XPUChrZ1SQ9WVlHD5MbLRKKM= dhR0WSYzK7xz3dt9GIfyVBYUar+fEkCudT38IT/42/a4gjesJjorTMbfJ2vWb3jKB/LQSGqG/tI= FA0h8LRsyYTR/IguXMRkYDCwRBdmITYrKQdHD8hVECQYqXy0vbSt+ibvrLiRAaNGiVl7Wy1zSS/= maPlnBPyoX0pFdm2I8Exrt1C7dstg1oglHr60ikLbfcLdXw78u3fSmDWx5GPy1gcpSNqPRztYb0= UR864FSCWEnfLJPsuWx9L8Y8tW9aOCAYIiNE4NtGOHE90+PgzKb4k+nGUmYi1+9LbDo+DQllRCx= Dfhf68iwIChDsvSG/SlhgnZCAmsKpBrLJLlhLNfx8soxPzlRnvr753StCO0bhneZm/L3ztseYnE= MWxaYQ/2ztnPPX8bRn97NpMcTgzqOBYGs1qXlYaoOL4ZZPgzxSJnlPhvU6f83ZI973jwtEHY9dT= qax7z+TQndt470nyLNIaRhRJGZ9/Pz8XvGawNCCIiARK12L0N6d58v/v/I2+Da322ke4BLExMZn= gpTC3nb2RrOuMLgumf/mY5GUS2oBIG5mPd7esO+Nhvyd1l+pMz1okxHV0akiOQ8L76SlIiQ5TJN= LgrWYntiJEd0KYl3hdRkxYiW4lihivOKBMNPuFeW/vnhineGOPbIwKaxjp2knmJevLMhyjyjzT0= RH+DN1kUdKV9pJ1qr+EgpN8WIuQq2gRtSNR6Q6UJYNU+I2egzCpU8o4424Vv/XPKft33EbpaVvW= KBmp6Bxb1hmrnnbEZ26YxxX74jW3dIjxKLXjMDggq+EIj7MbMlHaZXMWtmJ0TkbCgnY8lkBybsc= q1BXakZZJ2q5VcGTvbwxHPlah3+mKH9uO/r5voh3u4uqYXPi/fSfKODBiQEqBfbQq5tSPo4e68/= 2KxyNvSbKPcoK4cLaXypJyippUGtOsjfE5Kgmu6G4oXLzd/Szhbz4Q8d2T1Jn1nbLv7KstUZLXn= f9NIBJc52YOJSjdT51xGfn+ceIYAsrP3WhdhqWRneOD85K8a5PHcmR/352/wjwWfEk4N78vrA+P= wyd4DcE9whnXt/eROal329Yti9ecZH+70Op1fLtWGI8iDdbfxjB+boxMvu/cQo/0LdG6SQ9U6el= nuU4/Lx5HHDgj6ldHDed8LCTGKS4CqGRj7dZgyR3jyCCvKe5LD33nzLEleT8XlZb+9pUhiTTqn4= uzsZHsfRqNd9V2dMsq+EZItCnHOOCVCKr4BBsjOSEJC6KDf8mlkP+O25UQKH2nqqSXY6kdyA7I/= gOifzx62+02iET1Ug+BV7TjKxBifeO4rB2dZxGBsAqOpX0/RhxhU62AI8bVIeS6NGxUJkkZsm/H= QI437lOpbeV2pGUhSO6qODJicmM4AkhRqtzikF4c8X4Z6nuxHZ06h9tRPsPGH/pDIABYEVStwJW= 9BozL00L+0BGxUdji/SieMCgcaSP6kqzrPsl+vvcj4rHkRt5ztI4bU38OLzvjMuhY2/cJEKL+hL= KoTspeToRQ8UDl7Y3GpFNnAQfl/czfo8K3AzjyMj8AY98fLOsdx2huC0Kfznj2rMl4WPM12WFq+= psUnecpUYcSMT+wPjhEBJSQxdxk75S+G2zbJincjB4Lc5E1YOl66murxRaIXApeQm25QMAummI7= by5kfilI0BL6r+++86mq4m1XzETkLXEcw8TJfLRnZdhzMk4IvhHoG+xIq0uxJUmcP6Uzp1IwPx7= bDrefyPvBW6Y+p42LNKav+wggGIKlh2/7r3hBUPbvPigdPvk31DM3gQDvPMtzGOSt67a4vTptGU= vam7JqqtTLqCxxQmpVfxQ/AyVl4Vle1lvXiHYsKQv4x7RD0v512nisOLARHCQFHH3vJ3Maj2N3X= pKkf8lay8qyvsR/feI//zuex/KaRM+zsWWbwlF6hna8s33blpXPk96RHmjHau3O2jFU55KyGFja= VeAPZo6jp4h/r62/fd89YwZXClwpm2OGAC0msdstjSchxb0pGIuuxGqNgaExHV47y9uR48/vqmJ= 7Bu6evvc7c3g0d/Lo8cjLVhm/Vd/bJCT8XDZXXCiLwe+voXbnOPITu1PmGJWcCcrbW+rHkMVO37= NS+4bazIUyD2PmbeidBLcbB68xCJnBKAqPIP6286EHTChLmL+++nraEp/RpXWcgEkZjm59QzRS2= o5l5zVHz/r2/ygcYoMsEBHYh+4nsmMonCwWzte2CMhI2o6+Olc5m4YOyL5PNnAOVXD2xe1bzlYx= sncXGm/ziZShSyCoPKnLvffiar8eiIyTLipxkUUker9UNoQj1EkGEghfOLvr3NGaor/Uout930V= fCO1teXmzdl8ojK0N4Tq+HSXHPYmdn9bEUS5bhiNv95o4KAokVwh8MIgjmoP2WGMn2aFOWTxX7T= wMrIUIN9ZZk31RyzIcEWm8No7l7RgDsZObjDC8NFndcXtW6cth2xGDn3VKo+5EDsUxf1Yqi9/ne= gJSNUxwHo3U60TOuTDW7Ei07tJWhd/UntexFCsvgw8zHT2jxCFeOnWUiLHQz0xiGZcNA60vxYsa= Va4nHq0sasySKmNiUgrjsQyYUhy+Yon/ut8mer9t4OqwrI2lOleswP4hF+69Zz2ZbLGU3g/vrQB= t2Np0wsVrB6P5NqMGMW4AhzKJN7CXAgdhUxlLhxHA8DiXxoPisriroTmSvB+aeMj1ZMTmtLLoV1= 98nXWXtbFTX0FwUb5FLAVtZyY/9yWEmfdtTtdTa5ZkXDy5vD2mIBfMyxDtY4NoXVPpfWnLOsFDL= D3VwQEOjubi2th3b3ga3PPHcSNH3T0+gbG0z/w6Ld9f3fvRa0gMOU1zNh6hndH4AdH7rjhLDkjJ= MkoWdbQRyuvJEVLUf/zllzVaEq0IScRnxyqVVT6StNe3I/6b/u7iCDacmR2wACHbc1p/X7v7yIJ= 8q2W/vYqN4rLlfUmc4CLn6tXaEZfRiu8vG4/biWOQROstS8cUSVl5PcXP++ou48/xppKdfhyHG9= N15mBgLIfUyb31LIPSmhxqR08dJIdsR3ba9Zxvq4yoEKGqFaAiysPR34YQQjunlP4KUp8BSPxxy= m+0P3v4z3AW5nxh6f2sSJJupaGGlzmj52X+vC8vP2k/GFiiRcjGnXJiZBmknewSlb11HQaWI0mI= rBWX04Di1kJetuT9NpDACo3wNzKhe88tvZcHwJ/B2bc50db3TLJXpLT34/wcPeNHGb54THPTG0/= clXpbIuKXHdEU+VaMHsGeRdR+n3GmPhEqJFsLjq3LOdmeEzR1/JcCDr9OWpoqDcoRt6OdtW6Z/y= AqS5iM+P24X2NwUMQqxwF92xD/ko9HqcyHkqc2zYXF78MK5zjaMsnxxjjCGm/nxa65ts9+L4Z0x= aEsvtfsbxOVZckBpW1zR1U2dFvF1wiQL5J1k8WgxHuPOSmTBbbktfyl0kfS/tlk5LWElPJxuAdJ= muVllPztf9/+y3ReSQ+8jdyGRwglYjLqxzHZDKx4VC/FtZEllkRcvU3zSOkJJkl5Xy+PoK2lddC= NSNv3cYLHGA1m5fJs2FjxzAxj4oghtn9EFMpE7HMihlIMpQiGEWykI2Grjx/oGidpKwpCl5yR6O= EVRj2TwnlNI79P3i9Mcfd9AkFn/Ws7E96PNOTL+Zv8LEjHb8z+6tJSa3ihFpylqUCjDZn+rQTJU= dg2NqFDorroMHVtEPrvvOytxDdEot8IBFRMSg1jy73K3RrJE7klW3+Quu6FnCEZfG8AX6dtI0zY= x0E/3dbfjqiy0nkU8JTynEQRnaKzEkGyHr0vXt7eMpqBPQz7OmVAWuFx69QuYbByJqbLvHR/943= LEI5SjijPQfq1RtFX0X4lz0qaArFpsgiHEsXqknBAOjK/gEOcjwiScfeLKU2V4J+XvPZsjjmiaO= 5C8IdSnphCng7GojOkhYBpax5T4jJSHCMscZyKYWzLfM9LWQvWBr8ON3wBjMFVOuxLBMfJhjLTc= Vz9yKUnSdkhJnQja4E8rdRlyDbKOQekUaXhd/pOd0YGOPyjhqjq9N7saRP5a1GDvWRUjLVtpgra= LMBKhQOYnN0uEzkHcctIVKqCmigQmTRllZOEdwIDe58RxMKPtsEG2f2BbAjH3LNZmccfRwAiryY= fURaaU3AULuLw5InjLMK3IaJQS5/YbAzWnrwlPKLLsweo2MACNyLOJEbaYoispOmgfD78XhwIFF= JqRwnHULvDFEYD75m13jaW6uzBmyIYeH9sXwIDsdqej5m5VU3fkBx/5TVTwkhpzUve7rS0DRKz9= Jv+eoqastHQ82FIcrocYhO38EnGDElCI5niAg4pTHoXty8zgbCG84cgZxLmbY3Yv1pcrH3MQv9i= TbFk70nW3k64/JzpQLtyfL6QwCAzyOVZI3dfhIwJYga8vU33MBMT7ijfB+pjGDzeZGg8xRQlzvR= lLvl2xwKDOBkPP0fLDwXHdEzMfjYvyzbS8AnccpZoTQWWfNHiNhsh7cdgkGVdjVrlmcNNk2uhHR= skttYV8LdS2jsFyqewjJnUDUBeTzx+dIiVsq6DauezUq4dERtxZKML2R/kXZ+Y9o0xl/NtWHsJ4= dJ3tgnEGBgIlLL+FlobKLIO4TCA0XPUXAeJh7hLkYSCkzmTQk01atYQNDDSZhiXXJguoXFtyzIi= a6xHzbrjkVsZmp7oRMtz07Z7YiUcwi7TbiuZJmGYTpZyKyEcOvPD2CX5DFLBQVyWrEiREFUnBs9= A5ePXwSFd/IivYxnRjjE44mhsge/I4xpH4zGyHSXYRF/aEV6+75O5lXZechhzrFFEWFmiqgdi9N= Q90/va0Pc+LfsmvNi9PWKfjnWg904MmtUxSLqtQtIdCb5pw3jGXj/SzpHTFMP1RSJinSIBhAd7k= qdz2x2C1QY0pY+GbnhJ3yO23/pzxIqj3DpsvZGKeeVKzR16NopCz++9obLc5WCgDSOhAoBT+nKp= TekshY2Qcz3R+8WeDreOkndSrmhsv9aln5bhL+Fd2QZ1BAHcP3brwTpMx6jD8A6B42aeivUNHbx= Hxbz29DsvF1N+75C1F6Uay9pm4TYyHcV2FJ54UymtMZ83OLWzA8WMpmnQaI2dSoGjc8sSCbFIn6= DAqFCjlhrGcHDe8/u/5L/QEnHdsfGulCUi5TAQzqxoKimSystAmf+m5Bi7Gg5qE49JKya2Zcb5g= vh2WlvloXMvFvAlKBPGxTIRJrK+sagl9Uf0n/SF8/U4ouYlZYV2SFbnWjhCR9L3VxmPUjtKsIm+= rAJxN1pGsNUqgmzw1kH/nlJpJqVPzMo3rhEehtCXcS/bP4eu0/qsHsYyID6f0uiOLaw3kgZKVRA= yENGJt3ioU7xmtMB0DHRpHcFkfg4T5auyhJOCaZyIZUCY7V9bbnFoI1aDswlwEbKWQYnmK901o5= iYFaACgN94/tGMaMirzP7VGVvfLDOghs7xk1uiQ5M/jgc/jOn+kNo8x7vpwQ9t2DC5ta6e6Lg0B= LcDNkuWZRKB7OcyJvKo1lHfIkozM2+y8iHRS35uxNLW47zMJfsd1+2jtgzdTp46Nk57IajqClpr= aG3V0USEqqrw9a9/DU8+eRa7u92a/L89gWQjnaQpmfyVE68Pz8Z0iK6lJ/X6sIlToOgEvoTt7PQ= nyXY8rs7lL7UEes4iD92A+SpaUsVoKLHoZbZ9tff7+tLXxuNoRz7O64L4CFBe4u3MEq2fVentJf= iyyY3kBBsDQtvpvlg4MrbOXBM3MEkjt8T6UDg/pUBUrUWjOQdnbQCjBaLbsRtlodJ7H7Y4lu399= FkaVpmIorWc51FPwThtrqoIyuaCdcy6w8GHzyMS+IVDIupV3sUynuydRODQ8wwAfvcf/LeW6Tg/= Peg/HkYtIHdNkikv8ljs4fEGpmOg8yNHr8wI9bwXv7rEkbSEN/L3vO1y2S2Mg6OTWElxg26SKFk= JulYUQHKISJC8bBbGbD4+un6PhvKJPKiFEXYHnpVE6abBZDqFGJu3l4mgVIVHH30IX/38o3jkkb= OoqvbzIcIvtnj2DIe0p2nGeHR7EuPd9NiWRUSrlR0VlOrsg3UI3j5GpHN/rFjnsrJS/1bBMYaBi= ts4ts5lY3TYdi/Dmz93vL9jPGz5yiGAPb4ehgM99/9KazuTLmVxNRLcQ2u5NIeDYxQ9PAxxvgrE= /YmFJytx63GbosNPG0HTGBhtQlAOj6+92qStsw8n4KIuWe1lSbNsglBCkjLOSGEBdbLeSxTpjrK= 2GQC1UqhqhUpZbYeBjfwrhEObz+VQFiDnZcMruWyyFvngZZjzMvS8XwHAVK73No3CChqSFbcsfJ= EfiRbJalKg4bdXPWdiTs23B92fg/g7OLZw8uFIJ6t8UhwlQdjflGXXdfxzU62ScRu72LajHpkRp= 3gsgVj2DgmM0iB9AGYFiJXA7e2cwpc//wwePT/FbjXwfVRNTBBKwT9jDNPRpxkpHfxDxOfY6ym/= PPouoL42r9qOvvdL7eiD28l09LVjFUZuE4zLsjYuq3PZGJXqXJVZytvRBzGzYU39HXFIaL8sIii= MRELndQVIRTPyQvShQYg6SVlxh6HpST7dEn9t/5aNEWiI4ShwUmOYk2VHpKSocqZjrCUFJXSWQG= sDNg2MMYEZSEy6ot8DWRFcg1rthM/x4j8IviEx0xHlDo/nIVnDIQSthHXUYnWO+kyouUZFFRRZU= 1yft0NcJ47a0KTD2Ayso2XnBmX6LZEsP0z2fgyV/b9Zb4XtQiM3BUOdymoLYAplUVHPAhEUDJ0H= YOmbpQ29Kt6E2x3x7Yo2mpuATa7d5DA/cXD0G/V2QueSOpEg40RlxVeGyOpNwDrJC3uArO0zV4z= FooEiBRFBXVV45MEz+LXnn8bOdBLl8enpk3tM0cHXd+cfhulYlTDNCep1CORS/Xl/xreDOur6OD= 9HWmf/+htDyOZwWKZjk7DKPJbKVmnrGLxj6uxrR6kvq+59I+KC+HgKN195Q30echqP2Y8WI/qwh= g4VaKKcRuiTyfj13HtkpDWvwucMTXxuGryxKz7vT4JXCnuo3Mj4Omm0BnQD0hosxjFm1Ln7paPp= KAjAhbLVKBHlLW1uiwhHmcyODqKkVuPalK4zIoJihYoJFdsIiJ6xKo/VqrDCh9ldvTRmVC/I2m2= vbMXNAOoIq1CycPrf9f9alxjxj1ZjOtaBw1wg4/n2EZg2eJNt/lI8mUzHplWSJxk22U3mDQZ+pn= H7fLnfxBGssZFtG8O5ijHQolFVFYgEi6ZBXdW4cOERfPWrX8Z0asvTcJxD49xeTNS5jNvyMZCPX= ul3HxPQ936MV5a8uwxPqc7l7RCXS7h9WMa/3Al21ZW1bPxux2k4Zh7Hvr9qnWOfrbrGqFMyDMYY= QIxjOCT1E4uTVo7ChpRGiT4iR8RSbExdWmKOuu8IFuNACSNaUWYmWqKu+7xd80PCiuQLKj8P0c0= 2uKo7wxFpo1pNxIhzmQy0nsMYneIg73Tv3+ukJLfnRe4k7f7f+olZBoMoN5jP2XWJbi/JqyhA98= 5hJihl/7NtNlH341W73hyUxnucVmk9oe1hfX8roOUckdh798hVllhSSPJ9gavMZGLlLJTkq1rNK= 3qNqECjeJpSmMeRkofBkHwRbPQi2/iteDIp+7ESmk36dCSq3COObhIkvKPX2rh5EpeQbSOQHJ75= mVHa+/mzFZiDQzWyrx2IbEj7gQhQUAAAVTHIAEY0ptMpnn32mageJJKvYmtClJq4z57IzseBLJ7= gW2LLCAZ8KMvaUlncjjbgrf9/cu/H8fW7ZS3D0I0TP7Ydfl2UNeRlgnrI0GvddqyKAyPmYIujfd= 8/H8H0+2hVJvImJgpnsLjQr2udIpTtL/F4TdvEAW1uWEFHlv+oD6I5IIQobnlf7D5K5yA3LTqq8= 7cTObHA5A1/30Z1svegAFCZ04QP0OGybUvMPCAkrkunx+GM6DMK90AeajcfH/+bs39L9q0L6UsE= Vr6NkgRA8ExPt47xULr2x9ELfjxL31P2bnS+U7es9E0fWAtkH+NOKFOCoch09HYCyVwXmIkYHwV= OKzRWos2zzhSs+MHo1wsvjvpWkPV9A20ZXe8WPEghTv36yPyPo08/KDJ29fgPVnp7cxDuLoouv7= 4y6uzz29O2UenIE3CspssWznjqyafw4oufR1XVLmKLcWERh/vVfZ4zQjljxoUzmSPDjgIjNxLHu= PdvB45VYUw74jto3b4swzFmDjaNg04IjlX70u/HkIMnkolVG4o68lsIezMQRMDoDS6cnQeekKfw= p8+HIKlzXG2jwUbjSrGmpljReAdHDpd0LmbAZPisKPuRbKZHHfNstySClYJPLuh++7PRGIOmaWB= Me08QfJbybL2KhFwYFFhPu7BEuiHFy3Q2Rc/zezT6OjbD64Q4JhAp/9QmjyVGVdV+pG2zYMPlev= vRhAZOqpHs38v2CvUyBKtBKQpcl7aIGX6gzPykYF+oAkLJ/i79dMwL+QFE2QvkOhgdTDnyo2IkV= vyg+Nroyo6BuNrCMGz0RjiiW6YA0vmxDG7DWov3e3KOlMrisTuGti5rx4q4jLEec/fffx7PPfcc= nnrqKevcaoyLv54Tb8sgPyN7ygLeEhE3Egc2haOvbNM4VoXj6PtJxNHHtB03jnX6kgs5yyDRPra= hSh0DkB2MKeGz6j7M+xI9pZTwW7+ew0GX6OyOqRTPt3QOqPNtDuPmZS2gmDnImufoQWPsfy1tWO= pPW9b22efFcD0MhPGIC7RnTsNKlXRM8rlImUSfk0OBWWXMF7V+KcU5RWf8V3cNHvPBqnNcftebu= 439nvOC8sFwGFj3strCFrZw58BJ3uebIGzJSRCtFOjJJ5/CU089jb290+GiLF+OY9rV17bbQeiP= ff+ocawKd9L4bXGEX2OSmHWk/RvXKfT8HvgiaEFuJ72ybJyHng23+zj6FdfhzZBExOVA0taHxz6= NvxpR1tU2b6I/QzhKz1qGgyLfkZND625yjlfBVQrwuIUtbGELWygAEeH06dN45pln8NBDDwUVu1= JqxNdb2MIWVgGJMo+XYMj2fNOQS82PkzA/zn4dR90lpsDPszHGhsc9ZL1D87Uu7hKO0hpkZjAzl= FLFwC3L6t9EW8fAcdUTw5bp2MIWtrCFJeAvRGbG5z73OZw/fx7MnFyWG40KtoUt3GOQ28gvYzg2= Ucc6cJyMznHWWfIhwTEwPpQEBJDkv01rKHJG4TB9Kvvc2H97hkMp1Tuuq9ST4z8KWKedQ/PTh2t= 7S25hC1vYwhIgshfJZDLBiy++iIceeghKqS3DsYUtHCFsmunYlHbCE8rxf8cJR1XfcfYjn9ujYD= hyyOfqsPNX0th4YZT/W3pvXdj0mBzGDG1MwJTSO1tNxxa2sIUtLAER4NSpXXzpS1/CuXPnAsMBd= 7g2TROkWlvYwhZWh01I84/DHGmo7uOsd1MS8NGZwjcocS9pHLxJ1TKGYxNjXJqrTawdz2h4s6qj= WBOb0nr1jfGmNSt5PVumYwtb2MIWlsDOzg4uXLiAF198EXVdJxK5/HLZMh5b2MLh4LCmVUdtkjL= kY3Jc5lZp7oTbw/Bswu8i9uPwzuOlMzQ+X4+CGN6E7wcRoaqq4OOXz9G6eJfVuQ6+Md8cBfO3tQ= nYwha2sIUlcO7cWXzmM5/B+fPnO07j/vC9HdLVLWzhboOTalJ1Uuu7nfWuW2eJYYqdx0umOUfdv= xL+sTmX4nZ7J/IhZuAw5lx3ulBry3Rs4UhgyCHtToJNXX5bgvTOAz9ndV3jwQcfwjPPPJP4b3hn= QW9eFdvwbmELW1gOfefiUTAeqxJsJ30vHzdhvkmCN/Z1GIpY1de/oyK+V8VZam/fPVDyJzlMOze= Fa1Mwtg1bpuMuhDz0HNyCMMaExdrGwN4MxIcBM0NrHQg0Ywy01sHO0T+Ly72N/Cqh8uI+MnOwBY= 0PslVDmfr2evDtWdVRWGsdbDs9Hi8Bidu8hdsPMYHj5whuDgHgwoULeP7553H27NnwLD/wp9Ppi= Tj4t7CFOwlKJi6bCJe6rM4honUTUbNKjuZj6h0LQ21ctd5V61xWnz8jc+l/zjB4OiSnU0oEdVxW= ejYWxry/bO5KDJM3q6qqqtP3ofFbdX5yZ/s+XMcBedvHrt+tT8ddCH6D+8WntcZiscB0Og2E/qY= hPkCUUqjrGk3TAEBgKObzOUQksYkHgKZpwneeeRgDMUHvkwnlROFisViJuBeRjkOwZ2ZWsdmv6x= rGGCwWCxAR6rpO8PvDagu3H6qqCms13h/T6RRaazz++ON45plnbnMrt7CFux/yaEY4Bul9iXg7a= s10X713E8Q0SB+hvO49mI9fbubUB+sGJxhaI7lJ1UmYx5x+OUmwZTruQhCX1dNvAmMMJpNJyPTp= zUI2SfTGuDxhHW9C3w7PKHhNgJf8x20aGy4vrtPXFWsYlFI4ODgY3Yf/n707a47rStND/WViJDG= QIAmSIEVSoiRqpChZXerqKbrCF7ajw8OvOuEfY984fOOLPhVdJ1xdQ7tLrlZpaM2iJhIkwBHEjD= wXwE5tbuaMXJkbwPNUUEUCyNwrdw5Y717fWiv7IMmPBOWDUTcfJtnVj+IITv6qj9BRDlnIqBU2+= tvZ2YmrV6/GpUuXYnJycsithMOtUeCI3PsylWEFgEGEm2FpNILVKHBkFwuLz3Gjf0chXDQKGp2G= j14eT6P250d3+lFem6L9jZ6LFDoNOuo7Dqn80N+gas3zQ6tRGP3f1qBwAAAgAElEQVTIr/KTlVc= Vh+eyD6BO5T/IarVajI6OPnWlIauz71R+yb5Mvtymm6sYtVotTpw4EWfPno2ZmZlnhkUP6y+bgy= j/WsxUq9WYnp6OV155pb7zODAYxRKaQR5vkAZ93EEcr91nZb5jnS+t6uQ2jf7d6DGleJzN7rNso= xztDPv9ZKTjkCpuXLa5uVm/+p+VkPTzxVf8EMiCReSu+mejGvkAEvsISBMTEzE7OxsjIyPxww8/= PBU6dnZ2Ymtrq17K1U52rvJzQPLt6HYUplqtxvnz5+PkyZNx+/btePDgwTM7WB+ED6ijIB+W8yW= Czz//fDz33HMxNTUVEUIHDMowPhtTXSVvd9+dXiFudEW/17Z0+juxWTt7PW7+vov7crQ7/8Xvt2= pPsSS623a2a0Pkfm/k/xwU7c5NP15rzY5xcM4SHdve3o6NjY3Y2dmJsbGxGB8fj6mpqafmKqT4Y= M2PVGQfJqOjozE2Nhajo6MxPj4ex48fj4mJifqE8qxsKZv3MDY21vGbd25uLt577734xS9+EaOj= o7GxsRGjo6MxMTER4+PjMT4+3vEbJjv+iRMnYnJyMqrVamxtbcX6+nq9jd1Ocj9x4kScO3cuZmZ= m6sdIsUsp+1Mcss/eL6+//npMT0/vvT59VMIgDevKcYrj9uP3bb8vEg7y/BaPVwwdjX6+1X01u/= /iz6R8jMXQUWzbfioamrW5n89bv89LpyNORjoOoZGRkRgdHY2dnZ04duxYvPnmm/HOO+/EL3/5y= /jqq69ifX2973MKstGM2Ctriog4fvx4rK2tRa1Wi4sXL8Z7770X58+fj//+3/97LC0txejoaNRq= tdjc3IzJycnY3Nysty1bBaKVzc3N2Nraqn+AjYyMxH/6T/8pxsfH46OPPooPP/ywqxKrycnJ+C/= /5b/Ew4cP4//+3/8bN2/erJ/HyI0edXo+shCWfbjmy8q6mTBPWtlu4tnzMT09Ha+//nqcO3cuxs= fHcyOG3a2EBrSXL5GNJle0h/FZ2e9a+E5u3+6YqcuGml3h3u9jzz+nxRLjRqVTnZZoFdtXabDgS= 7OqgmbH6PSx5gNHinDT7jz0433R7CJ0Py9OF+9L6DikslWTVldX48MPP4wff/wx7ty5E+vr608F= hH4plk7VarV48uRJ/c24vLwcv/nNb2JiYiIePnz4VMnV2NjYU0vqdvpCz8rFIvdh9o//+I8xOjo= aDx8+fKYz2c7a2lr88pe/jPX19Xj8+HFUq9U4d+5c/PznP4+///u/j4cPH3Z8X/ldSSO30lbk3n= yWzS2HbAQwey6mp6fjtddeq6/2VinMVQL6Ix84ip3FlKPyvRhGewYduNp1Qvd739lFuGzxjmKwa= fXvbo7TqjyoX2E266/kqxf6XTbdLvj16/XRj+e906AodBxitb1lajc2NuLRo0fPrBjVzzdHs8m4= mbW1tVhbW3tmhCVf05mNShT3ymim0ZDq7du3ey5f2t7eju+//75+7ImJiZienq6vXrSystLxkGn= +Z5p9yCmvKoes1K9SqcTp06fjpZdeitOnT9fn8XieIJ0yL6wxrFGWYbchxTGz5zkb8c/P7cyXZa= cqHWo2AtLrvI9GK1YdlN8Vzc7zIF5rRzJ0VAqTebMX/9TUVJw6dSpGRkbim2++qZ/88+fPx/T0d= Dx8+DBu374dERFTU1Nx+vSZOHbsWKyursbY2Fh89913sb6+HqOjo3Hy5Mk4f/5cLC7eiXv37sXG= xkb9/icmJmJjYyPGxsbi3r17ce/evRgZqcb4+ERcvnw5njx5EsvLy7GyshIjIyNx9uzZOHbsWNy= 9ezcePHgQu6+VnzZkmZ7evd+Zmdn6m2B19Uncvr0Yjx49jBMnTsalS5fis88+i/X13Y7/xMRknD= 59Ok6ePFmfgL2xsR737t2PxcXF2NnZienpqZib223v2tpanDp1KiqVSmxubsaDB/djeflerK+v1= 8ubTp2aizNnzsTx48ejVouoVitx//79uHt3Kba2NuPUqdMxNXU8vv3221hbW6vPoTh9+nRMTk7G= 1tZWbG9vx6NHj2JxcbG+f8fY2FjMzc3Vz11WklWtjsTo6NjesUb2RibOR6VSiUePHsWjR4/2lgs= ei/n5s3HixIn6xPK1tbV4/PhxzMzMxKNHj+LHH3+MkZGReOGFF2J1dTVqtVrMzs7GCy+8ENXqSL= z88rW4cGElbt26FXfv3q0/LzMzM/VO68rKSty9ezceP34cOzv5D7hK1Go/haTsdbUbympx/Pju8= zc9PV0vK1tfX49Hjx7FvXv39l5fozE7Oxvz8/OxtrYW4+PjMTY2FisrK3Hz5s04fvx4nD59un4f= 2UjTxsZGjIyMxOPHj+Pu3bvDessNVaNAXCzp2NnZicnJybh48WK8/PLLe89DJarVbEGGShyQ3yd= wYLQLHI1KcAbVAW9VV38YQsCgj9lqHkejC3L9frzNjtHtsSqFZXI7PV5ZdDIikbLdRy505Mt/8l= +rVCpx4sSJuH79ekxPT8fi4mK9c/fGG2/ECy+8EJ9//nncunUrKpVKzM+fjbfeuhEnT56MxcXFW= FhYiP/5P/9nbGwsxdTUdFy79kq899578c///M/xxz/+MTY2NuP06TNx48aNOHbsWCwvL8fZs2fj= 448/jvv3H8To6HicP78Qf/u3v4jbt2/HH//4x1hZ+TrGxsbjrbduxPT0dLz//vvx4MHDvU7s7uO= YnJyIK1deiGvXrsXc3Fxsbm7G6OhorK6uxscffxzffPNNPPfcc/Hv//1/iLt3l+KHH36IiYnxOH= v2bLz11ltx7ty5+tXczc3NuHXrVvzhD3+I5eXlOHFiLq5ffyvOnj0bi4uLcfbs2Yi9F+WtW7fio= 48+im+//TYiImZmZuPq1Zfi5ZdfjpmZmXpn9+7du/Gv//qv8fjx47h27eW4cGEhHjx4EKurqzE9= PR0vv/xyvPTSS0+9ib///vv44x//WB+1OH36dLz++utx+fLl+ohIrVaLR48ex+zsiVhfX4+ISkR= U47XXXo/R0dH44osv4vHjlRgdHYmFhYvx1ltvxZkzZyL2RjSyEqrnnnsuPvvss/jxx1sxPj4R77= 77Z7G0tBSrq6tx4sSJuHTpUoyOjsXLL1/bmzcyGk+e7H7vz/7sz+LYsWP1dq+srMS//uu/xgcff= BARux3ViOpexzViZyfbGHBnL0zt7mD6wgtX46WXXooTJ0481QleXl6ODz/8ML7//ruYmBiPixcv= xl/+5V/G3bt3o7K3n8Tt27fj1q1bcfXq7n1ky/NmpXVbW1sxPj4en3/+ef12ZfwgTKH4Hs/e980= e//z8fFy+fDnOnJnfCxlSBuxXs9r9Zu/FZmUk0eAKbcrPsnb19N3eZr+6fdz9GFXv5VznRy7yF3= uKO4+3a2M3be70+Wg2X6hRe5rNE8l+93ZSctvu/DV7b3TzGLuZr9LLsfr9mj6SoSP/RGcvnPX19= bh7927cv38/Tp06FRcuXIivvvoq5ufnY3Z2NmZmZuL8+fP1F93Jk3NRq9Xi+++/j+Xl5bhx40ZM= TU3F0tJSnDhxIhYWFmJ7ezvOnDkTExMTMTY2FjMzMzEzMxM3b96MW7duxcLCQszOzsb4+HiMjo7= GtWvXYnR094p2tmrO2NhYnD17Nr799ttYWVmpXwnf2tqKzc3NeOONN+LGjRtRrVbjn/7pn+Kjjz= 6KiYmJ+Iu/+Iu4cuVKjI+Px+bmZv2xV6vVmJ+fj9dffz2uXLkS77//fnz00UexsbER165dixs3b= tTnRmxvb9dHbR4+fBj/7b/9t1hfX4/33nsvrl69Gi+++GJ8+eWXMT4+Hu+++248//zzsbS0FL/6= 1a/izp07sbCwENevX48rV67E3bt360Orlb0Vgk6ePBnHjh2LP/3pT/HBBx/E+Ph4/Jt/82/iypU= r8dprr8WPP/4YMzMz8e6778b58+fjq6++it/85jf1TdvefvudOHfuXHz77bdRq9XqE9jHxsbq4W= Rubi7+7b/9tzE+Ph7vv/9+/Mu//EtUKpV49dVX42c/+1m9o1+tVmN0dDSePHkSOzs78eWXX8bS0= lJcvXo1/u7v/i7+1//6X7G0tBRbW1sxOzsbZ8+ejdHR0fgf/+N/xP379+Pll1+On/3sZ/Hee+/F= J598EhsbG/Vh5Py8k+xKz8jISIyPj8f8/Hz81V/9Vayursb7778fH3/8cYyMjMSf//mfx2uvvba= 39O/uyFIWIGZmZuJ3v/tdfPrppzE6Ohrz8/Px13/917GyshK///3v45NPPompqal455134saNG/= XRqOJIy2GX/4WXPe7Nzc36/KH8amm1Wi0uX74cly5dEjagzzoNHK2krGk/jMp0bg5KCV0nczMqP= c7xa/R8lOk5GpQjFTryVzrz5RUjIyOxtbUVa2trsbS0FGfPno35+fn4+uuv4/z58/HkyZP47rvv= Ynx8PK5evRrffPNNXLiwECMjI3Hz5s148OBBrK2txdzcXNy/fz/m5uZibGwsvvjii3j55Zdjeno= 61tfXY25urn7V+eHDh7GyshJTU1Nx8uTJWF9fj5dffjk+++yzOH/+fJw5cyZmZmbi9OnTcerUqf= jjH/8Yjx8/fqrkqFqtxqVLl2JtbS0+//zz+OKLL+orOv3617+uL1e7sLBQf7zb29sxNzcXFy5ci= I8++ij+9Kc/xePHj6NSqcQPP/wQMzMz8dZbb8X7779fP0/37t2L999/P9bX12NjYyO+++67OHv2= bJw5cybGxsZifn4+Ll26FHfu3IkPPvgg7t27F1tbW3H79u1YXl6OnZ2dmJ2djZMn34jR0bH6kr7= ffvtt3L17t7687+PHj+O7776LU6dOxdzcXOzs7MSLL74YZ86cia+//jr+8Ic/xNraWmxvb8fnn3= 8etdpPZUv5eSpZmdb09HS89NJLMTExEf/4j/8Yn332WX2/kk8//TSq1Wq8/fbbsbOzE5ubm1Gr1= WJiYiJWV1cbXhHZ2tqKra2tePDgQXzwwQfx8ccf18/d4uJifPnll/Huu+/WS7aySezb29tP7ReS= ndfx8fG4fv16PSx8+eWX9QUAfv/739cDxblz52Jx8XY9HH344Yfx7bff1lcne+WVV+LBgwfxhz/= 8Ib788st6adW//Mu/xPj4eJw+fbr+4ZaN3h2FjnXxSlX2Xs9Caa1Wi9XV1YiIeOmll+LKlSsxPT= 1dv03kdr03kRx60+xKbDedrbKNOrRrS1k6kv38nG8UHBspdtizC22tlsjt5HitjtnJfTQaVWkUN= prdLutndDrK0aw9zUZf+qmfr8NOn/dOHanQUZR/A2TzGlZWVuLJkydx4cKFGBkZifPnz8fa2lp8= //33cfr06bh69Wqsrq7GzMxMLC/fi8XFxdje3o7bt2/HwsJCrK6uxuzsbGxubsYnn3wSFy5cqM8= JmZqaiocPH8bS0lLs7OzEnTt34tSpU3HlypVYWlqKSqUS33zzTX0/i0uXLsXs7Gx9jseTJ08iCh= v/jY+P18PSkydP6nM61tfXY319PY4fP15fnScLKtnoxdWrV+PMmTP10YfR0dGYmpqKY8eOxYkTJ= +ph4MmTJ/Hjjz/Gzs5OfT+Mzc3NOHbsWEREfaTmwYMHT4WILCBlnfrdFSt+mkuTTdI+ffp0zM3t= jhwdO3Ysjh8/Hvfu3YvJyckYGxuLtbW1uHfvXjx69Kj+XO3s7MTdu7vzZU6ePFk/H/n1srPQtbK= yEo8ePXrqiv+TJ0/i5s2b8dJLLz3VEY3ciEQ2jJqfgJ+dx9OnT8f58+djYWGhfl6npqbqx81uX8= ltVJjN/cjaWKvVYmZmJu7cuRMPHz6sr+gREbGxsRE//vhjzM/P1+eNZMe/d+9erKys1DvEWdi9f= /9+bGxs1O/78ePHsbS09FRH+tixY31dKrnMsong+eeiUpjPlS2Je+3atZifn9/7/o59OSCRfnXI= 23WGDvNV5GHMcWnUhk7LvLoNHPs9ZrPb5tvU6GuNXlP50fJGk8f70Y5UUoTg/b6vjlToqBVWTMj= +ne+EPXjwoF5Wc/ny5ZidnY27d+/Gd999F9VqNV588cW4f/9+/WcfP34c4+Pj8f3338elS5fi/P= nzMTExESsrK7G4uBjff/99nDlzJk6ePFm/Ip5dzc5Cx8WLF6NarcajR49ieXk5bt26FefOnYvLl= y9HtVqNH3/8MVZWVuod1qzzGoW9I7IrucXVoYqd6ezvjx49ijt37tQ3v4vcfhsPHjyoz1fY3t6u= rzyV3X9WypSv38zCTdbO/PHy53xnZyeOHz8eV65ciZdeeilWV1djcXExqtVqzM7OPrVHR74UJmt= LFgSyJXNrhb0vsvORnats+dpsw79stCM7Tn4UqFiPGg1+uZ06dSquX78ex44di/v379cDRa1Wi+= np6ac2SczakO/oZrK/j42NPbWkbvY8TExMPNWubNQkm9OSf86z0Jzdb2Vvjk4UPniOwghHpnhlK= /+85kP7pUuX4uLFi3H8+PH6pP/87eIInjtIKUVnq9k8gbIEj1SdzUGOrnR7PvN9rF4vdhWP2Y/n= tNlrpdHX8qXJxYtX+9WP0ZxOj7Of++3nc3BkL+flr1zn3xiPHz+O5eXlqFar8eabb9avLC8uLsb= y8nKcPHkynn/++djY2Kh3OLe3t+Pbb7+NsbGxuHjxYoyPj8fdu3djfX09vvvuu5ieno6Fhd1yrD= t37tRLgbIypNOnT8f8/Hzcvn07njx5Enfu3ImdnZ24ePFinDx5Mr7//vvY3NyM6enpuHDhQly5c= qU+yvD48eOYnJyMhYWFpyYinz17NhYWFmJqaqoeULLvZSMjDx48iE8++SR+97vfxW9/+9v6fh4/= /PBDPHjwoN7Zzb/JGu3K/eTJk1hZWYm5ubl47rnn4tixYzEyMhITExMxPz8fp06d2tvl+6c38OT= kZMzPz8fJkyfj5s2b8Zvf/CZ+//vfxzfffBNra2tRrVZjc3Mz7t+/H9VqNc6ePRtnz56th4ypqa= l47rnn4vTp0/Xns1LYNTwrhRofH4+FhYX6ymQREbOzs3H58uWYnp6urxueBdL86yI/ByUbochWt= dre3o4//OEP8etf/zo++uijuHfvXkSuJKf4ehsbG4srV67Ec889F9PT01Gr1WJxcTFOnToVCwsL= MTMzU38cp06disuXL8f29nY95Eau85t/vIuLi3urpZ2PqampehA5depUnDt3bq8zHfXHc1Tk943= Jh478v7MSt9nZ2ahWR6JSefozQdCA3jTqlPTjanc7xffsMN7Dw2hD6mM0uv92x2zWZ6h0uJlesw= t//dLp/VY6WK1q0G0alGbPQa/tPFIjHfmOWr4MJ99J3NnZidXV1VheXo4rV67EF198US/NWV5ej= q2trXj++efjgw/+FA8fPoxqtRLb21vxww+7wWBhYSGePHmyt9/Ddj1knDo1F0tLS3srCO0e5+HD= B/HkyZM4fvx4zM/Px29+85vY2NiI5eXlWF9fi7m5kzE+Pl4fHVlYWIi33347Tp8+FX//9/9vfPP= N1/H555/H22+/Ha+88kpERHz66acxOTkZ77zzTkREfPPNNxG5zuro6GjcvXs3vv76q7h27ZXY2t= qKL774Ira2tuLy5Uvx8svXYmXlcdy9e6e+ylJELarVSmxs7I5uVKs/TaTKlrj9+uuv48UXX4w33= ngjRkdHY2lpKebmTsaLL76YK0PbiVpt98r+6upqrK6uxtraWmxubsb8/HxMTEzE+fPn4+TJk3H/= /v2o7U3Uv3XrVly8uLsCVeyVHr3wwgvx0ksvx5kzZ+KHH76vbwSYD5Orq0/iiy++iGvXru2tkBX= x2WefRUTEuXPn4+rVF2J2dqb+5skeUzYysbW1Wd/nZH5+PjY2NuLeveW9Nqzvzck5HmNjY/HCC8= /HCy+8EBERExPjMTo6EpXK7vnZXd63EsePH4+/+Zu/iY2NjXj//ffj5s1v4sMPP4yLFy/GK6+8E= tVqNb788ssYGRmJN954I+bn5+PLL7+IxcXF+qhONmqTvWY3Nzfjww8/jEuXLsUrr7wSOzs78c03= 38SxY8fi1VdfjRdffLE+spYvyzsKiqN8kQsclUolJiYm6iWT4+PjsbPz04hZFMKjAALl0s17chj= lSK1GIFKNwDQ7Hykfc7OSpE5KqjodpWk3D6KfV/GL7coHjvwFyZRSHCNVqVWm0/s9UqEju+qZXd= nOXzH+qaO5Va+FX1hYqJc2xV451RdffBGvvfZaLC7ejnv3lqJW2+1Ir69vxuLirZiZmYoHD+7F3= buLsbW1Gbdv/xj37y/Xv768nC13utspvnNn934qlUp8/vmne2VWD+LWrR9jaWl3fsTS0p1YXX0S= OztbUattR622ExMTYzEyUo2vvvoiInbitddei3fffSf+9m//Jmq1Wty5c6c+cvDmm29GrbYd6+u= rsbOzFffuLcWHH/4pJibG4/r1N+LGjev1JV8/+eST+OUvfxkTExMxMzMdlUo2CrQd4+Oj9RASsR= O12nZUKrVYX1+Nf/7nf4oHD+7FjRs34j/+x7+L2AsHX375Zdy+vXsOq9XdwFKpVOLx48dx8+bNO= Hv2bPzn//yf62VPP/zwQywvL9cnXm9tbcXvfve7eOONN+LNN9+MV199tT7PY3Fxce/cRYyNjewF= j0pUKrXY2dmKnZ3tqNW241e/+od4++0b8eqrr8Sf//l7UdubQLy0tBSbmxt77Yqo1bZjZ2crNjb= WYnt7M7a3t+LRowfx3Xc34y//8udRqVTit7/9bXz99dfx5ZdfxI0bN+Kdd25EpVKJH3/8MZaX7+= 6VylViZ2c7tre3olqNOHZsIiYmxmN9fTW2tzdjdLQa1WrE6uqT2NhYj//9v/+/uH79erz77jvxV= 3/1FxERsbLyJD766KP45JOPY2lpKSYmJuq7yWdlU9lo0OLiYvzDP/xDvP322/HXf/3X8e/+3b+L= 7e3tWFpaqu9Vkn34Z0sqHwXZTvdZuV82fyPbV+fSpUvxs5+9F2NjE1GpVGNra7N+u7xOr8oBzbU= rZdnvfZZVGT47+nG+O71tsSNaHDXutjyrl2PuR7EEupKbQH4Yym27fR76Hn4iIv7rf/1/yv/O3a= dsmC/rzObfCPn/z+YAZEuTrqys1Pc7GBkZiePHj8fU1FQ8evSovrxq9qKcnp6uT+zOgsrOzk59N= au1tbV49OhRvbM4NjYWk5OT9bkTi4uLEXudyezrWUlW7O2QfezYsfqk7Wyi9sTERBw/frw+GXp0= dDTW1tbiyZMn9XbPzc3F8vJyfaJx9lgmJibq8wGyFbwePHhQv6p+/PjxqFarcf/+/XrnbWRkJKa= mpmJ8fDyWlpbq53dycrLejuwY2cT87Pvj4+P1UYzx8fGYnJyMycnJGBkZic3N3ZGF7I1+7969+h= tkamoqjh8//tQbfXcEoVoPWbE3qTr2SsiyZWuzx5FNqs9KqU6fPh3vvvtufPfdd/GrX/2qPqekV= qvFyspKbGxs1F8Ho6O7e2qsrKzE2tpaTExMxOTkZP3cra2txdbWVkxOTsbDhw/rk/jHx8fre4KM= j4/H7OxsRER9pCdbgerYsWP1Eq6sDGptbS1WV1frc1COHz8e09PTsby8XA8e2esl+37xPq5duxY= LCwvx9ddfx//5P//nqTlAh12+FC32yu2y5+vEiRPx6quvxs9//vMYH598Zudxq1XB/hQ7ZsWr3s= Uqg9Tyna0yfAb2++p86mO2a0/xGNnF3ez3bb7SpF9zGRp1oPt1XvJlRVmlQeT6kql/R6R+jfbr/= rPz1Ml7eXZ2tnJkQkfkRjqixQnPTmDWwS6+uRt9kDabWNTsg6FY4pUfjozC0r75pWCLj6XZGzd/= m0puYnej9nST2IshrRjYij+blQE1CneVwkpCzSZb589Z5H5hFH8mO5/FevxKpRKzs7N7u4Tv1AN= frVaLN998M65fvx43b96M3/72t888b40+KPOPtdHjKP5MJTcXJt/hL96m2bmO3OT+bFWs/HnMlu= Odnp6O1dXVeqjM/OIXv4iTJ0/GZ599Fn/605/qV/+PguLVtXxZ2u4+Le/FwsKFpzYLzb8+gf3Lf= 1528/N5qUtayhBCYkjt6MfoR6P+ST5wRI+jLd2MdDT62Xa3b3e7/BK5vY4WNRrh64dBvVb6eZyZ= mZnK0aiz2NPJB1f+xRYNTnjxRdPqhdjsWI066o2GH1t1gJq9eIu3aRe0unkT5JN/tPllUmmxClS= zx9mqPY3euPnHWazDr+xN/j5+/Hhcv349lpeX4/vvv48HDx7ExMREfcngbEGAZue/eJxm7Wj07y= i8nhp9vdXzWPx7cUfXarUaY2NjcebMmXjxxRfjzp078cMPP8SjR4/qk+cXFhbi7t279VGj/Eplh= 13xdZ+tXnbq1Kl47rlLcfbsuWdek8W/A/tXlk59M6lDzWHXyajWQZMvrSpeFB30KF2z9h3E1+yR= Ch0cTvlJ7dkHQ1YOdezYsVhYWIgLFy7E1NRU3Lp1K6ampuLixYtx7ty5+PTTT+tlbWVVHE2J3Mh= ONhn68uXLcfbs2ZidnY07d+7E5ORkvPbaazEyMhK3bt2qh45sqeGjoPiLbnceVzWuXn0xLl269N= Qyw8DRdlA7cfu1n8fdaIQj/6fRz6TQqnKl1WNrdbtKblGaOKDBqYyEDg6sYgc8vzrT9vZ2rKysx= ObmZvz617+ul1K99957sbOzE+vr6/HVV1/Fxx9/HMvLyzE6OlrqsqP8B3j2QZqtrJV9GL766qvx= 7rvvxsjI7qT6J0+e1HcpX1tbi9HR0Xrp3VGQ7Z8Se4EjImJ29mRcvfpinD17bqC/FIHOdDL6myo= cDOIYnR5/kG3otXSokW5WrcqkfJy9zB/Jz+NoNgre6f2m/P0yiKDc7/eE0MGBlV2xzzYrzOY9RK= 68K9vZO7vSn5+bsbGxUZ+MX+YRgOxDPN++bCQnW0O6DNkAACAASURBVLL4s88+i6+++qr+s2NjY= /XHl1lfX9/3bqoHTXbeso0l33rrepw6daph6RyQRqPOUdlGFobV4W9l0OeoXfgofl42KhNvtC9H= o5/t5HvDek7a7TzequS6DK+bVPoRToUODrx86VG2FHLk9mTIVoKK3IfF+vp6fYWubIJ2WWVX67O= Vt7Idz/NX8Z88efLUxP2xsbFnrjhlne8yP9Z+2t3srxI7O7sh7cqV5+PatVdiZmbmqdpcIL1+vt= f63blrNW9y0J3+soezVouftBrh6GQeYycjENGH56STkFMsa+603YMeLWv2mhlkG7ohdHBg5T/E8= qVV+U51PnjkJ4Bl9fz525R1mdT8hP1KbvO6TP7f+Qn1jVY+OyqBI+ofvJWI2F2u+c03r8fc3Fx9= NMwoBxxcg+qMDyN8DLsNzY7XrBPeLnB0c/+Nvt7s9p38bDftyf7ebV+gWXvK8BpN0Yb9vB7L2cu= CDrQaqs3/TNb5Lq52lQWQZuuGl03+MeR31s5CVxQ+MLPSquJSwkfH7mOemJiICxcuxPPPP//UPj= 3AcJXlc7eTz4NhTogeZBvaHa/RCHGrsqpGup3z0W0bu7ldo8BxUEfBm7U71WPp5X6NdHBgFYc/s= 4DRaLJXcTRgY2OjfsW72R4mZVG8qtCujjY7L9kGlMURoTJPmE/h1KlT8cYbb9Q3lyzuuXIQf7nA= YbGfq6b9HAEoXqFu1LEuy6jHMOZ5RIPHXVytqp8j6d08zm4mdTcqhcr/fzafIwq/c7tpdzNl7WP= sR7fvCSMdHFjZh1z+in/+69n8h2xzxNjbxXxnZyfGx8cj9uY5VEqw5nY7tQYbEUbuQ7JWWD98a2= srZmdnnwld+Ynlh93Ozm5J3ZkzZ+LatWv1c1b2kAkHXb4j2ulV41aTdget03p/FyzimcDRLLDtJ= 1QOQqORj06qKeiOkQ4OrEYjAPnvFT888mVI2QdkcQPDsmo0ehMtNiYcGRl5ajndXq7YlF0WsPKT= 4/NLHG5sbMa1a6/E9evXI1rUJwP90+hqeNOfLX4c5T+farszsjp5n6YILP2+yt7JfeznmI1u3+/= P/UZhotH/d9rebo9XPG672zYbmSned9Y/GBsb60u7u7mPdhPVo4fXRyftSDXPo919Cx1wSB2FDn= XxA7u2t4JZrVaLs2fPxqVLl2Jubm7gta7APu2uAbG/uxjQPgb7vaCRqo0pPt/yn7XFEYx+Hy/Fe= Wn2e2AQC8k0e620c9B+l7d6/QsdwIHU6OpQ/muXLl2OCxcuxLFjx575mRA44MDo9Cpqs9sOInhE= CTqH3ZynXj8H86MaxTK6Vj8/DJ2WSg1y/6qyjLAPYuSj0X2a0wEcSM0WDqhWqzE3NxeXLl2K06d= Px+jo6DMT761gBQdTmS8WlKltgxrlKNuKW80U52zk5/jlJ48Psi3N/n1YNHpcQgdwoDVazeuVV1= 6JhYXzMTk5+cyqKsVFB4D+GNT7qdtOWjc/v98LEvnO7bAnnPfz+M0mhxdXTWx0vE6P32mY6fd5T= TnS0ex+i4+h3WMa1Ghdv29ffFzKq4ADJ/sA297erk8ez/6Mjo7GW2+9FSdPztUDSb5m97BeVYJh= Stkp6se8iVQXGtqtdBW5ss9hlxrtd/5FMRQUS7Tyx2h1vH6eh17KhLLbFEc42k3oTqXRgi+9zP3= o5biNnqOUr1OhAzhQ8sPitdyyybVaLaampuLGjRsxNTUV1erTV5BiiL9U4LAadke62za066Sm/H= xI1fHu5vj7PW6zwBFtzmUnAaQf56fT+2g0spDiue81GA9ytalW7ehUpz+7Fzr8EgYOimyvkohqd= TR2drYjohKTk5Nx4cLFeP31N6NaHYmdnVo9eERhAqTgAfuXZHWhBnfZ6byBXtqTYgSik1GZFMft= dOJ0q7a2UsvtydHqqnw3bWv23PWzJKzRiEw2ylHs6Jeh5LbROel32zp9zvp9PoQO4ECpVnc/CLe= 2tmNsbGwvYOzEyZNz8dJLL8fc3Fx9DkejgGHUAw6nXjtJg+hsDip4pLzvZvMteil1G+a5qORWrC= pL0GikzG3r1WhExLlz54bdDoCOZDW4Gxsb9c2carVaXL58OS5fvhy1Wu2ZFavCXA7oq7J2hgYdP= LoZZWl2BTsz6CvZ0cXjzkY3mo0YH5Tg0W6Cf9k6+qnLrAatEhFx8+bNg/0ogCMj/4ujtrcZ4NjY= WExNTcXU1NQzu8oC6Q2rM5Tf1bxRaVYU2rafydT9WNWq3f23OkajeRT9VmxD9lm7tbXVdBL5foN= To9v0434anadqtVpffKSoVYAsQ2e/rO2KvVAabV6b09PTu9/d2toqR6sBurCzs1OfSD4yMhIjIy= P1r7dafhDon2F2fLoNHfs+3oAea7PjpCwLbfXYtre36/M5UrRjEB3q7HdCq9DR6ryXQVmDRydtm= J6eroxGRP0XNcBBkl/uMP9LZJAbPcFRMuwOTq1FP7f59/LfqEXTR1Cr/ycqQ57rmnKCdSfHzR+7= WFqVoh2tlonttXSt+P3KgHcfT6FdiV7xe2WQb48lc4EDJ/8LsLjOepi/AYdSq8DRUuXpfzwVQfI= dtEpE9s9mh+q25r/bEYFGk56Lx0vZ+S/eb36lqmY/069ObrPOcyfHKZbdNpIPHO3Oa7O2laVDP+= zll4s6bY/LgcCh0K4eGqAfOu3od/t5lO8Q93K8fsl3sBvN42jUpm4+f3stfd3PeehXuW0ZL2iVr= U2tXr+jUZKUBNCpZpMXzeMAutFoZCGiXmXV8naRsP/UrF0p53QUP1ObLZHbSXtb6SacFG/T7op6= fnWtyP1OaBboelG2Fa6iyeMaZhubvX5Ho4QpCaCZbDJjVlY1iFID4PDaTyeyVSe4l8+jdu0YRIe= 3uDRuu2MP4nO3kzkfzdrWaInc/Z7Dss+jiBKUYDV6zszpAA6c4vrwRflQAvTPMK6o9jyXY09+Fk= ezaeTPlITsozyq1/PRywhAo9vudzSkltt5PH/MZp36/KhCytdCq8fdbIL1oCaPl2nOR6sRokG3r= 3je/VYGDpT8ZMF2ExyB9A7r+62Tx9Vqv4cU7Wl01b6RXjqX3VwZL9MIc7Pjd3O+ejnmsB93JxrN= rxhmu410AIfOQfhlAHSmUtv/aEf3B92b11HJ/pKT+2eZ6ubzX9+PZmVMzUYaGo08D+q8NJ2Tk/t= 3it8HuyNmlZ9eJ9n/NXq9/HSjRn9Nvjhzs9K0Ybx2hQ7gQBIsoDxS17g32/jvqWM2+UhosTNHqy= NGrX7Qp0cAOvnkSVFP32gyddZ57Mf5bzZ6XCyhKh6j0byPXtqz3zkxzVZNSjH5vpb777MviCZlY= JVnv7YbUXYLANuF606Dd6P3SqPno9VrNNXy88qrAAByegsqjfW9w9vBylL9mNORv5/9lpF1MuLQ= z/OUsrSq1/Y0+tqwxslaLWsbHT5fvTDSAQD0VbvyjZRLv5ZRP8uOGp27fszxaBZkGo1eNLsSvt/= Vt3p5TeTn+BXDRpleY83KnLKRiXYjGZ3+XDftiX08l70w0gEA9F3ZOn39UKlU9ur2c//u8vb9OC= fd7KYdHYaSQWzwl0qxPd2sWtXtY9+PfoShTkoNu7q/Jm0y0gEAHCjNrvAeVJWIhsFjkJOnG2m3j= 0Uno0/dPk+9zF1JeUW9OMpRhiVsm6k/Py2KrJoFjH4Hj2Kbivp1Ho10AABJHeSQ0alu5zgMQ7MV= qIa9Cle/7qeMZVXttGrrwFdta6Jf51PoAACSO0gdwV71e3J1tzoJECn3rtjPbffbnuLjajh/osm= E7mG/Ng9CWOpH+5RXAQADkWIp2fp99/HuGl1hTl3S0o/z0cv5bTSnodc2VavVrjYWLOrluLVaLa= rV6lO3Lx6rON+j0TG6CowJX2vF9mXfb3XM/Pf6OTrS7VK77RjpAADokzJfrc6kvKrejxWk9nObT= kNFWUYWKlH+UY7Mfs+hkQ4AYOA67awMY77Bfq9kF/dgyB5po8fSbiO2FI8/v7Ffo4nm+WP2Y3nj= biaPtwoLjfYQyVaparSCVSfHTDn61plaNDrsM+e8i5GrsgYYIx0AAP1W2f2T7/71egU/1dyPTjr= ZKTqwre4z/3g7WT2r06Vxy6rfMSf1udjP/QsdAABD0mknrl+dyUajGQOVPYxKpR7M6n86uXni0r= DSatG0bB7HoFa76vU8Ka8CAEqrk/0lYsgdxm46e/vZt6SbUqBWZTbtdh/vVWfnoZLbm6JQAtXFd= f9iSVU/l95t93ob5Gvtp1K/n4bNGpbpDfjlnz9PzZZiLhI6AIBSG37dfX/14/Hsd6WqsuzNUVw1= q96RbXFpPx80UpZ/lfW1Vpb2tZo30yi8CR0AwIFR7MyUuiSmA8PoQGaho9m+FcX2dDMRvFvF49W= P1WB51lYTxVPYz6hUx8fo4VTWRzUaPVdDzCHt3ptCBwBwoOy3DKiM9tOxTxEU2k327vs+K8XjNT= l86lGORscr+2vtp6BWzyG7/xzGym8tRuBMJAcADpyDPsKRQlcb3B3g8zfoHbxLca72Jtu3nLvRZ= KPBYTHSAQAcCsOe65Fy8m6vV9gbjXoUV6w6CFfvo9J6PdksdAzqcaR6rXW8m3iu7Kyr+090jjo9= H/mfM9IBAHDIpZ6b0OmSt1HrbJ+QRhPJh33lfqj2TlWlUmk5yb6Rvs9DsWQuAHBU9WOyc7eTuju= ZtLuv0ZBGnbudDtvW4HzkJ5Dvdwf0RkvVNhpdaXjbvU5zu3NTnDiebQTYzV4jKZZU7vS+Ompfx2= Gt9tTIT7ObNb2/pyd7dLQ4cbPXd68jJ0IHAEAJliDtRLflMsURhX6vljWsycrdhiN+MqxXudABA= HCAdLoZ2zD35ej3XILiYz4Q81JKKuUSyK2Y0wEAHDqucHc2d6JoGGVIZb3//WrXvrKEpkGdRyMd= AMChdJSuhhc7jjs7OxEtyqva3VeZzlu7PUPyytTuKMEKa50axHMudAAAh1anpUg8rV+d+f12Zrv= dDHAYO7x3qt2O3YNsRzRZ0SzleRM6AIAj5aBcfe5VsayqH53bfu2Y/tT9VDrb46GXjQDL+hyXbR= SpKGVoEzoAgCMrdSewk2V1+yW/lGwxcOx3tKEfV8WfmQxei93k0SJ8FAPHM8Glw+OWqaOfMhB19= HrLXhut76nv61yZSA4AHGlln5DciVZ7ZPQyUlDU6D56vc+n9t9o+kPNb1+GEqXDLsVZFToAgCPv= sHRek+88XlAsl+q0t1oMHsV9trOQU9yE8LA8T5kyP55+t015FQBAi05Ws1GETlZVGkRZT3asnZ2= dZ1aratXeTtvW7ufqj3Xv7isNbpMv92pU+lXJbpn7XrMypF7Kk9rdppeyrX5p1bbs39VqteHXB9= m2ZsfudO6Q0AEA0KFOO6aDnEMwjM3/utVopKJRmwcxotFsjkoZlX1J4Oji3AkdAAAtlHkZ1qJeN= wLs52OrVSIiu+9aRC1qHU+oH1Tnv2yTyzPNXmtlams3QSj/PaEDAKADZViGtVEZUH6J3F6XyU0W= rCrPztfIH6fR4xlk8GjUpmb6uQRxOwdhhCPT6fvCRHIAgC6VsRynzB3TvHzgyOvHKlvNlPH5Oox= aBUihAwCgB2XoyBZHOMpumCNE7ZTh+TwMmgUP5VUAAD0adBlMs1KWfpX+JC8hqzy9QlWj4w5Tq8= c/zDYepHKraDJnRugAAOiTQU9QLo5y9HNuRj/vq76cbi03ybzJ8cqirJPNo8OlbAd17Fa7yecpr= wIA6KPUy73m7Wfy+DDlN/9LOZej2zZ18rWyKntbjXQAAPRZqtWg8pOwG224Vzx+8Xa96PjKdptD= tPr2fjYu7Fdnu9Mr9u1+fpg62Wiw3flq99ptdL9ZcGw16makAwAgkRRXn4c9cbzXx5S/Vac7u5f= ZQWv3MJb6zRM6AAASGnZnL0UbytLhHnY7ylIa1kiv5WK9htri7YojK8qrAAAS61e5Vae3b1Vy1a= 9Rkn5MtG7WCS7DRozdKOvqUsk2fWxwjKJ6WVV1d4zDSAcAwID048p4N8EjVRuK99XtpPBujl/m0= YRm2rV30CVyqSfst5rLkf1b6AAAGLBeV25qVL7S7jjD0Oqx9TwnpCThoyzt6NWgSu2KrwHlVQAA= JVO8Wlz8/3a6DSTDKL/ZT/hopCwlTZmybjTY6Pj7OXfFFcTyIxz50GGkAwCgRJp1CIcRDA7S8Qb= 5GLp9LoYdMtpJMfpRrVajWq0KHQAAZTLssp1ejp9qrkC/R0H6qdfwV5bg0e+yt0a3FToAAEpoGB= 3S/QaGRh3Nfuq1fWXq3HfytUErlj/l7Td4PFVOtRc46sfbO3i5iuAAAKivcjTsDQGjxRX+TnYFH= 2Zne9jnrZUyt62RdruUZyMcIyMj9aVy975eMdIBAEBbrYJDmTvPZRhdOCpajUwJHQAAdKRZyZCO= fW8O03lrtwy00AEAcACUpYNalnZ0I/XmePtR1nZ1Kiuva3eOhQ4AgBLKz+PIOnK97gDeb91MQi5= bh7ps7ckchPDRqn3tXpM2BwQAKJle94EY9NyKRsGjjPM7iu0a1vk6DIobAWaTx9uFJqEDAKBEmm= 0G2MkO4mXr9B+UK/dlPGdlalMz+RG4dsFDeRUAQMm063C2K3MZpjLOn9jP+RyWMp7HRpqVVRXPu= dABAHAAlb0zWnTQ2ktnOg1GyqsAAEqip7kchdvUIqISlb2/Pf116KdO53OE0AEAkFCjnn6Tvlkn= gaPS8Ecqz/5r7z9PTZ4uHKOWaOChUeezmx3VhzUvpVmnudO2tJqDs1+d3lc/z1v+ecgvi1uckJ/= febx4+zzlVQAAQ3YQJg13otHSvo2+3sphOReHUf65yUY4OmWkAwDggOh2dOLZ7vveykgJi62a7d= +Rv0p+EFdoyrRaOWzY+nleGy0xnP93q1GORox0AAAMUaMOYr86sM/cT2X3T8oOcjcd3jJ01A+j1= Kte9bKyltABAJDKfvp9ldyf/dzNEHYK72Y0QPBIJ8W57XUpX+VVAAAp9TpxPL/nwV45VOOJ5B00= oUnZTb/LnLIJx8W/tztm2TY1bKXTcquDrtXz10uYqezd6eE8WwAAJdWu+1Wcv1Gr1XoOHZ0evx9= dwk47pM0Cz0Htlpa93f1oXzZ5vNtJ5JVKpWKkAwBgyJ4aIWjSl2u098Z+NLpiv5+Rj15LeRotw1= qmDny3E8nL1Pa8frWv28BRv92+jgoAwGAknvqQ70j2Wrffj2MfdIfpsRTtp7RM6AAAGLZKJWodL= Ik7yCCQP2Y/fqbbYw7jsTby1IaKXWxwWFa9tq1arT4zytFViVWY0wEAMBT1HZ877LtVo3HpUT8n= gnfzvVSd6/3M92i2I3oZlKUdjTRaZCC/r8rIyEhX+3IU7qtipAMA4IBI3WltFSIGffW+15BTq9V= 6Gp046pqVTvVr1MlIBwDAENRqta53GG+2elWKrly+09nJiMMwSorK3IVtNSG+zO0uTurPVqvqdZ= QjrF4FADB4KTqcxXKkfqwAVazdH/YKU+1CTRk78s3OU5lXumr0WmpWstZN0BQ6AAAGoN7BrPRz4= dunNZrk26+ObaPOaD/vf7/KttRupqztaidfVtWPneTN6QAAGKBBdz9TrCxV/HdZVmsqSzs6Veb2= 9nsFMaEDAOCw63PftizzNxp1issSgrIJ7e1GOcq0PHBeJ+3qZgRHeRUAwAHR7cTz+u1qzwaPZpP= S69/f62zu7Ow0La8ZdNlQo2VdoxCCiuVfjW5XVmUoWcuf0/1MHi8y0gEAcMh1cyW9258tmzKOGj= RTtlGOVhv/7XthgrBkLgBAMv3sZvU60tH8Dvf+02ETmy7ZG0+PpDTbwDB157rTjQEPate33RK83= Zzf7PlotEDAfpfILbI5IABAQqXv3FYioklHtTgfoVU5VvEe+rHaUS863T+kLCML3epnu/Nho9He= HP0mdAAAHHGddMy73siwRB37wx48+hUUUpZ6CR0AAHQcPLoJH8Na5arTla4Oqn4FjGhQVmWkAwC= ApHqe2Fxp3hHu5j47WWK2U82WrC1Olj6oYaTXdhdLqfpxn52wZC4AQB+Vfh7Hnk6XzG04EbtBv7= TM3fZWwaOTny+zZo+l28eQfJJ/WL0KAKAvUnep+rl6VbvQ0fD4fX58w+qCHvZVrjKdtj/FilWF+= 7d6FQAAnen31fBhlTV10xk/yDpp/6BKzJRXAQAcEL2MTvS9DX3eNTvVzubt9q5oV3JVvP1BH/Uo= yu/TkU0gT8lIBwAATdWvgvepTzqM5Wt7uZI/yEnWw1R8XKnClTkdAAB9dNi6VR3NI6lFROr5LEM= 4r83mfuy3LSlHTxqN4GSjSfm2VyqVGBkZSTaPo9CGivIqAIA+OWyBo2OViEqkKZMapqwEqahZKV= Y39ztIne7UnpLQAQDQB4euw91Dn3S/nfF2912Gc9xolKIsbYtCW1rtXj7ocjFzOgAA9qksHc6yO= QyrXTV7bss8v6NZoBhW4AhzOgAA9qfV/g5l7pi20+1IRycra/Vzt/FufqZfz8Nh2N9jGMHDPh0A= ABw43XSY+9mx7nRuRFlXuhrWKEcY6QAA2L/D2JVKMdLxzDH6eN4G9Rx0uu9Ht99PJb8fR9b2ZsG= j2cT5/TLSAQDQB2W8qj0Itb0/bX+uyTKz/bzqvt/76TQUFJeezR+/VelSWV4jvYam/RI6AAD6oC= ydykHLHnWt0nh0pN3O3/s6dp879v1e+rYYPsryGkm5ylgzQgcAQJ+UpVM5KMVHWxz5qGU/VPnph= 3e/lm4UoGzBIwptSvkaadWWVvM58mVXqdinAwCgj1p13IqdwjKvctXNHI3aU4HimXv66edy/y3+= WP4cdFPq1Migr+R3u/lep4+129dHu2N22qYUjHQAAAxJWVc56lY+oNQiYqfDuR5HRScjEM2+t19= leY1ZvQoAYMAOY9erlx3Mo4T7ewxKs13M+9HG/CpUlUolqtXqUINHpVKpKK8CABiwYUzkPciadd= B7uZ8owfkuzqEobmTYS3lZs/sqy0iH8ioAgCErQ6dwWDodITnM56gfq3A1m/9RlvNmpAMAoAT6d= TV/WFqVSbULFsXvVyPtuRj2uW60CV+xTfsZlSnTCEdG6AAAKImylP+UVS8rXLW7r0YjBIM4/1nw= 6GSvj+LtGn2vWVlVWYKHieQAACVzWLtmHZdSdfjwh7EUblk0m4SeTRovVeCoVCrmdAAAlExZOou= kUavVOt5UsN2Gfq1umz/esCmvAgAoof2scNWsBCel4uhEo1GN7Gd6XV73mfvr4LHtp8Pd6P77uY= pWO52UXjV6rssYWo10AAAcAGXsSLbSqkSqm93O992OA3beupV/fGUqqSoy0gEAQN/1azSD9qNe7= ZbJLUMQMZEcAOCAOqxduH4HlvzIykHc3byb0FDG0Q4TyQEADrCydS4Pgn6ds2GtEJVNQm8UesoY= ODJCBwDAAVbWTmZZVEpabtSNZkGjXZlVmZjTAQBwwJVtedSDIOVGg8NQ5sARRjoAAA6Xsnc+h2F= QYWDQ5z6/RG7Zn3cjHQAAh8wwRj5a7cvRSLPv9XsSeS1bOamF4n4X+zHoUY9GgWMY+7S0Y6QDAI= BS6fc+Hgd9+d5mO5K3CxxlYslcAIAj6Ch0/3oKG7WfRkaarRDV7Hst77bH812r1aJarT4zelEMH= LVarTSjGkWWzAUA4NB6an+Ojm/U+tvNlqtte7c9BoJOS7/KGjgyQgcAwBFU9k5qv+ynVOuonKNB= EDoAAI6odp3qw1SC1XYyef1/ha/3cWWoftzPQQ1CQgcAwBF2EJZbHazG56Kb89QqrOXvIz83o5P= 7PkhL5BYJHQAANF0h6Sja7+Nud/tmoaFVmDjoz4V9OgAAiOjzfhUHTW1vqnklIlqdgkHsw9Fu34= 2DGECEDgAA6g7Kvg8pdDPpfJDn6SCXVWWUVwEAcOT1e0PCfjuoYSNjpAMAAPZpECMfBzl42JEcA= ICu6Dp2rtG5yr7WaYioVg92cZIdyQEAICGrgu1SXgUAwL4dlZWvar3khUolopatj1X/Yt/adBAY= 6QAAoCuHdS+JpIorT7U5Vd1sGngQCB0AAOzLYekYD0InweMwnk/lVQAAdK2T0Y6ylFsVl8PtpUS= qp7KqJur7btR+Ch7NztVhCSBGOgAAoCTyIeOwBI4QOgAASKWsneZK7ac/DIbQAQBAMmUNHmVz2M= +T0AEAQDK12FsytoOfy/4MSj/nafTDYS2tChPJAQDoh7ZhoUEnurhzRX2n7jbryWYd8k4nqvcjX= GSlWKmDymELGxmhAwCAUqh3uNtkibKsikXnlFcBADAUlb3/cfgZ6QAAYKieDR5HcyTjsJZWhdAB= AEDpVCoRR6GEqtJ+/sphobwKAIBSqRzyq/4/OQqPcZeRDgAASikfPEweP9iEDgAA9i31NftKpVK= K4NHPXcyPxGDOHuVVAAAcCEej5OpwMtIBAMCBoeTqYBI6AAA4kASQg0N5FQAAB57Sq3Iz0gEAwK= Fg5KO8hA4AAA6dTgJI/uuDHik5aiMzQgcAAAzAUQsaeeZ0AABwqFUqlYYd/mZfp/+EDgAAjoRmA= WMQweOohxuhAwCAI2MYoxtHPXCE0AEAwGFUq9V2/zT5viAwWCaSAwBw6Dy1elXzH8r9TGdL7FY6= XIm3VqsJNjlGOgAAgKSMdAAAcORVovtRj5b3Z5TjKUY6AAAgJx9A6A+hAwAACvoVPIx47BI6AAC= gASMe/WNOBwAANPFs8OhwlSsjHE8ROgAAONT62f3f/xTzo0l5FQAAkJTQAQAAfaS06lnKqwAAoE= MCRW+MdAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJC= R0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQ= lNABAAAkJXQAAABJCR0AAEBSQgcAEIzDEgAAIABJREFUAJCU0AEAACQldAAAAEkJHQAAQFJCBwA= AkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldA= AAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQ= gcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAk= JXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAAB= AUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQ= AAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJH= QAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU= 0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAAB= JCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAA= CQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0A= AAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJC= BwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQ= ldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAE= BSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABA= AAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkd= AABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJT= QAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAE= kJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAA= JCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQA= AABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkI= HAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJC= V0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQ= FJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEA= ACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0= AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlN= ABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAAS= QkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAA= kJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAA= AAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQg= cAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJ= XQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABA= UkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQA= AJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQ= AAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0= AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAACQlNABAAAkJXQAAABJ= CR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHQAAQFJCBwAAkJTQAQAAJCV0AAAASQkdAABAUkIHAAC= QlNABAAAkJXQAAABJCR0AAEBSQgcAAJCU0AEAACQldAAAAEkJHfD/s3cn33Wd573nf++792nQNy= RAkATYgpRo9aIpyU0US1pxW5XBXSsZZHZHGeSO8kdknkllZVRZtVatW8lKKq5UxWlu7NiO5Eg0r= 2lJpCSSItiTAEkQPU639/vWYDfY5wCS7fjudUH6+/GCRQLn7NOAg/d3nvd5XgAAAJSK0AEAAACg= VIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQA= AAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACUit= ABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAA= JSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToA= AAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFI= ROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAA= CAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCB= wAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQ= KkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAA= AAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRe= gAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAA= EpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0A= AAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKk= IHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAA= BAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhA= wAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAo= FaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAA= AACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClIn= QAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAA= KUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4A= AAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFS= EDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAA= CgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQA= QAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACU= itABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAA= AAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSET= oAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAg= FIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcA= AACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCp= CBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAAAAEpF6AAAAA= BQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB0AAAAASkXoA= AAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQKkIHQAAAABK= RegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMAAABAqQgdAAA= AAEpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBWhAwAAAECpCB= 0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAAAoFaEDAAAAQ= KkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0AAAAACgVoQMA= AABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAAClInQAAAAAKBW= hAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAAAAKUidAAAAA= AoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlIrQAQAAAKBUhA4AAAAApSJ0A= AAAACgVoQMAAABAqQgdAAAAAEpF6AAAAABQKkIHAAAAgFIROgAAAACUitABAAAAoFSEDgAAAACl= InQAAAAAKBWhAwAAAECpCB0AAAAASkXoAAAAAFAqQgcAAACAUhE6AAAAAJSK0AEAAACgVIQOAAA= AAKUidAAAAAAoFaEDAAAAQKkIHQAAAABKRegAAAAAUCpCBwAAAIBSEToAAAAAlOoJDR2+5GuXeX= 0AAADgybKrQ4fv+fqV7uW33+M/Ehe2P76X5EoJHn6H5wwAAAA87nZt6PCF5b3btszv/YnknJNzs= eRd8hVHko/lvZf3W/eI0x/LS955xbHrfjznFMexJCcvJ5/eJ3aST+4kxZF83JH3bvvz9j7/iqKo= 63vZn5Prb79PFEVdt3Nu+/V7r1G89i/93hauvdP9e7/X+1w+6zF7X6fy34vb8TE+62cAAAB4shg= lC8BdueorVhhM9mR3rFfYZOHqt6KJkSRjJWPknJHzXjYwkpeMT37uJXkjOZP+3UlGXtY4GZMunp= PvpDd0clFbYSVIr23lXLJ4DsMwX5gbY/JnZoz5zEW1c07GGBlj5JyTtTa/b+99it/33m97jM99H= wthYKfb7vS93vCQPc9MFEVyzqlarSqO467n3nuN4nMIgqDre7/ouQMAAODxZky64tudoSPbJrXD= 95NEkf7dKI59uiiW5L28vKysZJKsIG/SBa6XZGRccj9npdhIcVryMV4K5GR9JLmWFIbysZdMRca= E8l5yLpYNbP7Y6lmYF/9ure0KIr0L7N6Qkv03juNtt/9Vg0bXO7bDrzcLQ593neL9el9bVqnInq= e1dtt70fs6fp3XAAAAgMeTMcaE/7OfxOfyO1U1TM+fjbx8mkPSv3uX/jnZQiV5WSN579KFrpU30= qPVDV2990D9wyPaMzKswXqgujUKZJLQkj1W+hSMMbJBmAYZvxV70gV8tgjPxHGstbU1PXr0SOvr= 64qiqOvnxS1LfX19+sIXvpDfr1gVKC7os0V89ufif7VDmOhd6BdDwy9a9BevkVViMtmf2+12XuX= orXbsFMJ2Zb4FAABAqXZ36Mj2QMlvbbDKFrKFDVdbi/Lkx0Y2uYeRvHPJ3QMjI5eUPoyRM0bX5h= /qv/7je5o4eFRHDx/Q5GhVE0NV7R0a0HDfgAJ5hYFX4CWbbsuSlZyXrDFdzerWWnU6HVlrZa1Vu= 93WwsKCrl69qsuXL2t+fl7NZnNb6MgW4ZOTkzp8+LAajYYePXqU3zYMQx07dkyVSiV9jdtDw2f1= V2iHKkzvfXtv33vb4nPNQkW2VWpzc1NXr17Nrzc0NKQ9e/ZoeHi4KyAVe1g+byvXZ/0cAAAAj7d= dHDqSikSyF8rkf99pmlXSzuFkjBQEditsyCgwRlIsOSf5WAqSbVJtL91ba+nfPrqn1qebiuMLCl= ysZ2dn9NZXntezT01odFAaDgMNWaN+YxTkFY9sQNbWgt45lwcDSVpYWNDf/M3f6OzZs3kYyRbg3= nuFYdhVodjY2NDly5d14cIFnTt3TgsLC4rjWKOjo/rTP/1TVSqVrq1Kvf/teud22MZVrEQUg0Mx= HGy9n919I1n46a2qXL9+XX/yJ3+Sv/6nn35av/M7v6OvfvWrXVWNYoWktwl9p8f+rNcFAACAx9M= uDh1Kt04VGo8/o4086RdPAkmUVju8tUlMMUbJ/7zkrbzfWuRGstrwdTXMoFStyHU6+vmtFd34f/= 5NVdNQf9Xrm791Rl979qhm9w5oIEwf26UL8nSxHUWRqtVq8hzTrUiLi4t6//338ybzbLEeBEHe6= 9HpdFSpVBSGoYIgUBAEeUDIFt/1er2rZyKb+BQEwbYQkC30e5u/s9t2vWe/ILTsVBnZaeuWCqGm= N6x0Op389RbvW3zOvSGDsAEAAPDk2bWhY6dw0Rs6suWpT3dfOUmtyGl9s62BoVpa5ZCsjGy6Nct= KCoyRc1KsQLZSVcsbuUiytqr1uKPmWksVIwUm0j++fV4zI1XNTswqirzCMJBN+0Z6+xicc1pbW9= P58+f1wx/+UI1GY1vDdbE/IggCxXGcB5fidVRYgBd7P3ofc6eqhApbtz5rIlZvFeLzmsZ7+zSKz= 6+3t0RpT0oQBHnY6q2s7NT7QYUDAADgybVrQ0ceKHb43rbbJJNw1Yq8rt1Z1Pfffk+1/n7t2btH= Y2Njmhgf1eSeYQ3WjEIjVdPr2nTXli9czJlAkSpSEKjlAt24v6qVjU0Zm029UjIFq9Bcni3Evfd= aWFjQhQsX9Mknn+Q/l6SpqSkdPnxYe/fu7Zr4lN1vaGhIExMTeumll1StVnX//n1J0tDQUNeYWa= WBot1uq1qtanl5OQ8sWZgZHR1Vo9FQs9nMqys7Tcrq6+tTvV7v2v7U+xhZ9WRtba2rOtHX16eRk= RF9+ctfzm9z/PhxHTlyRHEc69GjR/m1eidaVatV1et1VavVba8NAAAAT55dGzrUdS6HuuobpvDT= jJPUjKVrC8v6ux+8q7bp0+SBaU1OTujA1B4dPbhXx6YGdXJ6r2wQJP0fxsm4SJXAySnKt2EZYxR= 7o0ihIoVysrLGKLD56R4y1iS9JD1Vhvn5ec3PzyuKonxBPTw8rBdeeEFf+tKXdPDgwa6tVkoX5U= EQqF6vq9PpaHx8PD8HY3BwsGtS1OLiou7evavl5WXV63UtLi6q0+lIhQrDa6+9pps3b+ru3btdZ= 4hkP89Cz/DwsPbv36/Dhw9rYGAgv0aj0dCNGze0uLiYH0T46NGjrorG4cOHNTY2ptHR0fx1jI6O= qq+vTxsbG/rRj3607fdprVUcx6pUKurv79fExIQOHjyoycnJHbdnAQAA4Mmwq0NHMqMqOz48OZ/= D5KNs/bbG8o6MmqaiDTukTTOgRw/a+ujBHQUXrmu0z+r0yRn90R98Tf2DA7Jess4pcB1Vw1hR3J= FJDxP03svJSMbKG5tMyjJbz0ndg6ukwpkcDx480PLycv7pvzFGBw4c0Msvv6xTp07l24t2GnUrS= e+++67eeecd3bt3T845TU1N6Vvf+paCINCdO3d09uxZvfvuu5qfn9+27Sq79vj4uN5++219+OGH= kpQHjXa7nfdYZIv/Z599Vr/7u7+r2dlZhWGo1dVVffzxx/rnf/5n3bhxQ41GI6/GVKvVvPrxla9= 8RSdPntTf//3f56Ho5MmTcs7p4MGD+qu/+qv8efW+zmy72ZEjR/T666/rjTfeUL1e73ofAAAA8O= TYxaHD91Q5XKHYkU2zculcqyR8OCN1rFXL9mnTDikK6nKSAt+Rbzf04ac3tNqO5APl0cWlYcbaI= AkYXnLGyxspNqGcAvmuqorNn0Lv+FprrVZWVrS+vp5vaQqCQIcOHdLo6GhXk3d2cF5vk3UWCIrn= YhhjtLKyon/4h3/Q22+/rSiK8tG8WfCI4zivZDSbzXyaVtawnjWqF7eCdTodXbx4UQMDA7LWanp= 6WhcvXtSf/dmf5ZWR7Dl579VqtfLXa61VrVZTGIZdDeNKTyvPmte994qiSJJUqVTy08sl6caNG/= rXf/1XjYyM6Lnnnuuq6gAAAODJsYtDhylUNIrfNj0dH6brlrGsOqaijqmqbetyXgplFbq2Nprrk= k8X6ZI6xqqtitqmpo4kFyfN5iZtM4iNUWwCeWO6R/T2bO4qbgna2NhQs9nMF8+dTkdjY2Oq1Wr5= Yl1p9UE9n+xnYSAMw64tUd57nT17VteuXcsDRxAEarVaCsPkV5iFkEqlouHhYRlj1Ol0uiZf9U6= 2ypraz58/r6eeekpBEOjdd99VFEVdz7XYZJ49XqfTyc8SKQaM7O9Z8CiOzu1tKpekpaUlnTt3Ti= +++GIeuIrvDwAAAB5/uzh0ZHEjOZ8jWZunp/PlS35X2IK1tdXKySo2QRIYJDmfbJOyNvmkPxutG= 3kjZ4P0tkY+SLZXGTnJeHnjt58JYrZP1eqdGJUt5rNFeH9/fz5St3fCU+91ekfbZn+/dOmSHj58= mN+/UqnozTff1MzMjOr1etc0quPHj+snP/lJfo1qtapDhw7ppZde0tDQkO7fv69Lly7p6tWraja= biqJIm5ubWlhY0KVLl/LreO/11FNP6YUXXtDg4GBXQJqamtLm5ua2SVbee+3bt09/9Ed/1FWJKQ= aO9957T1euXNHq6qoajYauX7/eNU6XLVYAAABPll0bOnweKZJaRiAryXedRG7SLVZKT/SwedUjO= z7cp993SYN47/wro7Qh3Mt7IxskZ3v45LRBBXIKFCdxxnc/t+zxi+vj3nM4VDipvNjLse21FkbJ= 9gYWSdrc3NTi4qKazWZ++ziO1W63tbGxoXa73dUjUq/X83G1SqsGExMTevXVVzU5Oam5uTmtrq5= qbm4uf8zsJPTl5eV8G9bk5KRefvllvf766+rr6+s6RyQIAn388cc7BqX+/n6dPn1a165d09LSkh= qNRr7FSlK+/csYoyiKtLGxkW8pI3QAAAA8eXZt6Mj4vL6RxImsddoU5ljl4cIn3R1GTtbHsopkv= FfoO7I+knNRnhiskQKT1kfiSMYFssbKGi/vYxnF8nIKfCTjk96Rrn1VvXusCid3Z+dvZNbW1vJ+= iExxclXvGRbFMzaUbkHqdDpdjeOtVks//vGPu3o0ssX6888/3/0epqGgUqmoXq/nvRhZc3in09H= 6+nrXtifnnI4eParZ2VmNjY1t6zHJHrP42otbzM6ePatz587p3r17WllZyYNGtoWqWOUpHmpI4A= AAAHjy7OrQYQpfRcX28iwMFFs9snhivZNNujxkfZRXP7Y4GR/JKJY1Rj7uyBvJGCcrL2eS8GG3b= ajambU2P38iG2PrvdfS0lLXVqTeczOKFY5iH0S2sN/Y2FAURXkTdqVSURRFefUga0bPKgWtVqur= cpIFoJ2mZWV9H9n1s2bvrGJSq9Xyx+idvJU9Zta0np3DcefOHf35n/95V7DInodzLr9m8fln1RU= AAAA8eXbtqKAsQwRSMj/KRzKKZOW7ujo+j/U+CR4+CRHGmHT7VDqB10uB8apYqRpYhaGVSU8MdM= UTs7MtW/IyPnnTbGHImIK5AAAgAElEQVSKbrFCMD4+rpGRka4ehp/85Ce6ceNGV6DIGr+VVhWyw= FFczGdhYXBwUEEQqFKp5Nu1iqd9F6sM2XWLoaU4Wap422LlJJtuVQwArVYrDyXFhvQoivLvVyoV= BUGgdrstSXr06JE+/PDDrtG82RSsarWaN7gXK0HZQYTZe1l8XgAAAHj87fJKR8/BgGlpw/T+vKe= 526Q9HNldvDGST0OAMfJmKzjIeUVRRwoC+eJZHPKSt2mDevFq2zpDkp+kn/5PTk5qfHxcd+/eld= LFfBzHevfdd9XpdDQzM5NvoSp+sl+v1zU7O5sfClgMFdmp5NlCvV6v68CBA3rzzTfV19e3rSdka= moqDy5BEOSTsIqN7r1bmfr7+9XX15dXaIIg0IULF3T06FGdPHkyn1qVXTN7zVlYyB6j2GOShY2X= XnpJp0+fVq1WUxAE+vDDD3Xx4kU9ePBg63dWOGcEAAAAT5ZdHToSWbDoXYwWg4gpBIOkgmF88h0= vK69ALm1ET8/2S++bTsZSIOclb7Ya0GUk463k7Vbz+ueUV7KF/KFDh3Tw4EFdvHixq+8ha94eGx= vrGg2bbY0aGRlRrVbrqixkDdv1el2Tk5O6e/euNjY25JzT2tqaHjx40HUi+E7XVU9FI1M8RV1pk= BkdHdXIyIiWl5flvdf6+rree+89LS4u5tfLgsSxY8fyoJEFEvVso8qqI845tVqtPLBk/SnFiVvF= CgzbrAAAAJ4sj0HoyOz0CfjWHKms7mHS75tCWHF+6+A/k0aIrelYgYwN0+CSbqEyvvCY6Shek/1= f+sg9vRHZonnPnj06duyYpqendevWrXzx3Wg0dPPmTd24caPrMMDsz3v37tVrr72W375369OJEy= d0+/ZtbW5uqtPpaGlpSe+9916+9aro+PHj+YF92XalnU4GL/45DENNTk7qxIkTOnfuXP6zq1ev6= urVq9ve+a985St6+umnu87yMMaoVqupUqnktzPG6M6dO9rc3Myf5/LysjY2Nnb8LRM4AAAAnjyP= UejoPqM8aSDv+lt+q+JRfl4mDRw2v6Uv/CzZm2ULHend43G3tbKnfyyOqC1uOQqCQLOzs/ryl7+= s73//+1pcXEzuVjjHYqeGcfVUJ7LvZ4Hh1KlTunnzppaWlrS6uirvvR48eKD79+939ZQEQaCbN2= /m43Xz96Fwm886C2RyclJnzpzRzZs3tbi4uGOjem9Volhd8d5raGhIIyMjGhkZ0fr6upxzevjwo= R48eJCHoOz9KDa608cBAADw5HqsQsc2XT0Y0i/TXv7LzaH6xdfoPeU7W5AHQaDp6WnV63VZa/VP= //RPWl1dzcfEVqvVbSNus+8X1Wq1rgX+0aNH9cYbb8g5p3feeSd/vHa7LWutqtVqvpWpXq93LfB= rtZqq1Wo+lSprGs8au7PXMDQ0pC9+8YvqdDr67ne/q7W1tR1DUXEKV/E5VioVjY2N6eTJk3r11V= f17rvvqtFo5IEs2zrWGz52OusDAAAAT47HO3T8knoH5f6H7ZBpskV0ccuUJI2OjuqNN97ID8m7d= ++eNjc3k+dTmCyVXWN8fFxPP/20jh07pomJCd24cUOSNDAwkFcEjh49qt///d/Xb//2b2tubi6v= ohTP9eh0OpqdnVWz2dTk5GR+ja9//esaGhqStVbT09N5gMnC0+zsrOr1upxzevXVVzU7O6u5uTk= 9ePBAjUZD3nuFYZhXJU6dOqVDhw7pzTffVBiGiqJIzz//vJ555hnVajX93u/9nk6ePKn5+fm8Dy= ULG8UtX9mY4cHBwW1btQAAAPBk+I0IHWXY4WzArqlQQRBoeHhYg4ODGhoa0smTJ7u2IfX2VoRhq= FqtplqtptOnT+vUqVNSoQqSjZwdHx/X4OCg9u7dm1cOVNgi5b3X+Pi4XnrpJT399NNSOllqbGys= q7Kyf/9+ffOb38yfQzbmNwgCDQ0Nqa+vT2NjY2o0Gjue8zE0NKR6va6vf/3reZgYGRlRf3+/JGl= kZEQvvviims1mfiJ7MUj0VnqyszuoeAAAADx5CB2/puIJ3tphKlQWPrJFfXbb4nkcxQV4HMcaGx= vT2NhY1wjZ4vVrtZr27NnTNbpW6j6DY2xsTOPj412PWWxer9VqmpmZyadRFQNBtk1sdHRUo6OjO= 1YesmrFzMzMju+JtVaDg4MaHh7eFox637usL4TAAQAA8GQidPwHmZ5FdLbQLp7SvdOBfL2KC2/1= VEv0GQ3gWUWi9+c7BYPidXoD0ec1lvdOveqtUhRDUPE59F6v2HD/Wbff6TkAAADgyUHo+DXtVAX= IThMPw1CtVmvH+xUX9FkDeBiGCsOwK4hk053CMMz/rnTxXuyL6J2i1dsf8VnhIbt98fDA9fV1VS= oVxXGsSqWier3eFQqKj6tC4Co2mPc+hyiK1Gq18tv1jtbdqWoDAACAJwOh49dU3EYVRVG+NSkLH= OfPn+/qabDW5gvvbPHe39+viYkJHTlyZNtJ5dqhIvFZP++dClX8704nffdeJztP5P33388DyeHD= hzUzM7NtLHAxWBUrOipUQoqjgVdWVvTRRx/l1z1x4oQmJiby+0RRlDfkAwAA4MlC6Pg19G5TKi6= a79y5o3/8x3/U+fPn89sWqwXF0bPZBKd9+/bpS1/6kr7whS/kvRQbGxv67ne/m4eWEydO6MyZM/= k1ij0bWQjQDj0cURQpDEMZY/Txxx/rvffey7//jW98Q9PT01pbW9PFixf113/91/l9X3nlFb311= luampqS0nDQe1aHerZRZY9dPKn89u3b+su//Mv8PkeOHNHrr7+ev5bibX+Tgkfvvwn1hEsqPwAA= 4ElA6PgfqLgwbLfbWlhY0MrKitrtdv79YsUjmwqVVUcWFha0tLSkjY0NvfTSSxobG9Py8rJ+9rO= fqdFoSJKWlpY0NjamY8eO5VuxiiNzi2GjWIHIqhO3bt3SuXPn9N5770lpUDpz5oz279+vKIq0ur= qqhYWF/H6rq6vqdDpSGjh6t2q1221VKpWupvjitrDsebRaLS0uLuaL6L6+Pq2vr3eNGv5NHZXbG= 952GgwAAADwOCN0lGynxnClU6qKi8qs5+Hq1auy1qq/v1+vvPKKnHNaWlrS+vq6vPdaWFjQw4cP= dfz48a4FanHbVu/jZxWQOI61vLyshYUFPXr0KO8jaTab+fSorIqx05aunQ7y22mLVu/9is8FAAA= Av3kIHSXLqgPZqeH9/f15k3YQBGo2m9rY2MjP3DDG6MqVKzp8+LCeeeYZ9fX1ad++fRoaGpL3Xl= NTU11nbqgQCIoTs7JA0nui+PDwsPbt26epqak8kGRnZKjQ+5FVK4qhaafAUalUPjNgFA9N7A1f6= Nbb8E9AAwAATxJCR8mKPRd79uzRiy++qAMHDqjdbqvZbOr27du6du2a7t+/r1arpTiOZa3Vw4cP= df36dR07dkxnzpxRq9WS917Hjx/XsWPHFEVRPv2p3W533VeFaVRZ4Nnc3MwPBXzppZdkrVWlUlG= 73daePXvyrVXLy8vqdDqqVqvy3qvdbmt9fV1LS0vqdDoaGxtTp9PJt4xlwSUIgrxaUqlUVK1WVa= lUuhrYs2oLtvSORu5t+Cd8AACAJwGho2TZVCtjjPbu3avTp09rdnY2X0w2Gg298847+ou/+Iu8c= hDHsRYWFnT9+nVNTEzoe9/7Xt5XcfLkSVlrdebMGcVxrJWVFX3yySf66KOPdOfOHd27d2/bOSFZ= iPj2t7+t4eFhXbx4UT/96U/z53D06FH98Ic/1A9/+ENFUaTBwUG1220ZY3T+/Hl99NFHMsYoDEP= 98R//sd5++239+7//+7btXdkCur+/X88++6xeffVVHTlyRAMDAztOz0Jipy14WZCjMgQAAJ4EhI= 6SZROisopDrVZTtVrNf16pVHTkyBG98MIL+UjZOI61sbGhlZUVKa1kRFEkSWo2m2q1Wnlz+Pe+9= z2dP39ea2trarfb2tjY6JoulS1oG42GVlZWFASBNjc31Wg08ueU3W99fb2rJyRrFG+327LWKooi= NZtNNZvN/LbZ9qwoivJP6pvNps6ePasrV67oO9/5jp5//nlFUaROp0P42EHvmSfFrWnFrXEAAAC= PK0JHyXrP5+gdh2qt1ejoqA4fPqyLFy/mDeaNRkOPHj3KP/HOgkb2yXez2dS//Mu/6Ny5c5qfn8= 8fL5tS1dvz0TvJqhhKeqckRVGkWq2WXyfrCwnDML/+Z51I7r1Xq9VSs9nU6uqqoihStVrNXz92t= lNDfqfT0aNHj7SxsfE/7XkBAAD8j/CYhI5020n6Zbq+77tus52XyfbFG7PD7XoO2it8d+crFvfY= m+6/dt0m+cq2OfUuzovBoFaraWRkpCuQdDodNRqNroV/ptPp6O7du/r+97+v+/fv5/epVCo6dOh= Q/rhLS8taWlrq+vTcWiNjJGuNsktWKhVNT0/rC184pZXlZd28dSt9TGlsbEz79u1TrVZVGAYaHh= 7SoUMzev7557qCk3Ne3kuLi4u6detWGrCkubk5HTlyZHuDtDH5u5T/nuQl7yXzmx1OsvdpdXVVn= 376qRYWFrZNJQMAAHic7P7Q4ZPlvy+s77eCgcljSGGmkiQr45OfGu9l5GTkk2Wt2bqVsp8Yky55= vbycJC9rjIyTTLoy9vkju60w4tPqQVcScoX/bi2rnXOKXZw8C6PCnn2bT7ZSodm62ASutIKhtJK= wsbGhS5cuaXV1Na+M9PX1aWZmRm+99ZaqlUAbG+v62c9+rvMrK+p0IklOoZXkYrm4k75aK8koDC= t64YUXNDkxoUuXPtb8vbuK4lhO0syhI/rt139LBw5MKY7b2rt3XK+9+opOnphNtlq1msn776Uoc= vr440t6cH9RURzJ+Uj//N/+WcMjw5qens4b3ZPfZfKeb/1GveRdGgwlL9sb75Jb/6KM+RhKqk1K= Q2A2Ujk5U+Xy5Uuan1+gtwMAADzWdnfo8NsXWtmSfuuzcLu1eE0/KPcqBo40dHivLLn0VjFiY+R= MIGe8vE8CSmADWWdk0+vnC2AfpwtDW3iOaSIyrqvKIeNlrOTiWDYIZYNAPv1ZGNj0Sbi8MpGdp5= Ht5S9+ul2sVjjndP369a7KyezsrH7/939PJ07MSt5pZWlJC/P3df79D5JgY5y8ixXIKzTpe2Oso= thJxmpiYlL9fTWtLS9KLpYUyliroeERTc8c0tEj05KS116rVRRHbd2fv6f5BwuKokhOgVxs1GpH= OnjwkG7evCHnOgpCkxQujJdsEvqcbPqVRR8v+SQYJUEuu13yZSUF+YJ8xyjyWEsqGy75t5dWOZr= NTf385z/TwsL8tvoeAADA42b3ho6uRaZJY8TnL718dgufVi9MVh7p2S+ff/nC9qukgmFt0u8Qx7= EUJRcNukKOST6N9+l3je9eB/ew6VahOI7SrVbZ/SQXxZIxarc6Wl1dzZu6q9Wq6vW6+vr6up932= pS+ubmpKIryKofSE7737ZvKb1utVhUEoZyTbLA1Wco5JxfHyafq1krWqN2OFDsna6yMvOI4krdB= EuC85J2Xd1InilSpBDr303P6tx//WFc+/VSdOGlwNzaUd1Zx5BVHseSdbPo+bjWZK9/SlcXBtA6= UPuvsv37b37aW3U/eAry4dc45p06now8++EDr6+vSDv0eAAAAj5vdGzpMuuLNlp4+kE235eT7/+= Xyvo5s65QzkrNWsaxiJdULKZAzRkZONg0QJq2RWEWy6sj4tKIRe3njZY1VtRpKLZ9WJyTvjWSC5= JGNTaspSY9Ed5+J8upHFEWyJulhsCaJTz7LKdbKGGl1bVU3b95UtVpVHMfqdDoaGBjIDwHsPZAv= azSX1NUMnm3RcnEsySj2Tp0okk23cckGaS9F8p7FLpZMIBuGadjaevsrlYo6TrJBUqloR5GCsKJ= 79x/qZ+9f0IWPL2l9fUM2DNPXaPP3NOuhMdmv0Xl55yTv04KHy+PGZ8XBnney8O/BF3pznozFeB= JGt3p55ufn9dFHH6nZbG474R0AAOBxtHtDh9SzlcYXlpheprCNychuu1e+scpYOW+Tqofc1masv= JLiZBSnTcw2CS3pYj6OY3njCmtbr9h5yQb5o9uttpK8GpM8dhJvjEm2aDnnJJd1jqSs0f0HD/TJ= 5cu6ceNGPhbXe6/BwUHt3bs3bdLuHmMbhqHq9XpX30cURVpeXtbU1D4ZY5OoZqyMDeR80iPglQQ= PEwQyacUl6zHJegp8Wt7wLk7fo3Q7mU3ue+fefd2790Abm00ZG8oGVc0enVU1CBRYr057U8uLi3= q0tCSjJMxYWXknySV724w3aeDzhXhh0grQVoLL3nbbVeXQExU4ssCY9XWsr6/rypUrWlpaknOOs= AEAAJ4Iuzt0dG2P+vyNVSaNHnkPR7qg7frMfKv1I9neJKPYGMXWyHgr+TRMmKS64eNILm8Iz3pG= 4jTimK5NX77rv2nwMFbGBGkKclpaeqQLH36oh4uLMjKKvdftO3f14Ycf5uNxlTaN79mzR1NTyXa= p4sIzO/F7YmKia3rUw4cPdfbsWb3yyisy8trY3NDGZkM2rCTbpeJkAeuNTao12TYv5yUXy6dN7j= 4ZbaU4jiQjtRobWlx6qFpfTdVanx4+WFSz2ZJNKz5WRs8986xGhocUBF7LSw905fInWlpdkosla= wIZEyTN9mmA8Gk1JKmKpH0xxnRtYsv/CRQqJt3feXIkwTJWo9HQ/Py85ubm8qBZnGgGAADwuNrF= oWNralVR94jV4p998gm6l6yPFShWrFje2zwKJJUPk/cKxEaKrFXbhrKuouTzd5c3i1cqgXzLyXm= fB5XQWslHyXaltKKRTWMqDjV1MnIKFMdpILKBrl+/rmvXrqWTqKwi52VskDRae59PrqrX6zp48K= Cmp6fzA/WK26xqtZomJydVr9fVarUUx7GuXbumxcVFbW5uyhqp0Wrp2o2bir2RsaGMS/osJCn2R= p3Iy1unwAbyPnnNxkgmqMiG1SSgyGlx8b7ef/9nujp3VXtGJ7W5uioXx4pjl8YHK+Ni9dWqsqEU= VKtSJZQLArk4a+ZPt4Xlk76y39dnNYWbYu2je2CyMeq915PAGKOHDx/q008/1fLyspxzXRPLCB0= AAOBxtmtDh+/5Ki65zA6fdmcLVCsvWxiTm13Bpx0dXc3JaQ9Icu9AXkZBYGWtUbvTlDOSqdQUBa= GakgIZBQrkXKTQxrIm21sV5h0mKiyfAy9Vwpo6nZYkoyAIJfm0CbytWl+/nPdJsFCynz8IAh06d= EhPPfWUJiYmdOvWrXzxmQWPvr4+Pf/885qcnOw6z2N9fV3f/e53FVhJJlSj49SOvWq1atozkL34= ZEpXFHnZilFgjaxNzvno7+/PR9vKS9evXdOtWzcV2FAuMvrOd/5X9ddrCqxJgoPr6Hv/79/JWy9= ZKTZebR/LRV41U01+W8Yk08CyupBXd+Aw2mrKL5ylsi1wFLiuiPL42mrwj3Xnzh1dvXo1HyiQnK= tiOaMDAAA89nb1KWy9waN72VlsJt5anpr09A3rnIx3hfChrk/JkzGsXhUXKXSRjI9lvZdrteSaD= Q3Xa4pjp9hWdfFmUz+7tqZlI63JqG2rcibMH7M4xtcqmXYVeC+rWJJLrhN7OZ9UPMIwlLVGLu7I= x5ECm/RpVCoVHT16VG+99ZaeeeYZqXDCeLa/P7tdrVbTH/7hH2p6ejr/VDyriHSipIE8sEb1aqj= QeDmf9KN4n2znCYNQ9UqguN2Wc7G8jGq1uiYmJjQ9PZ02pScd7y6K1NxYU2dzRaeOH9K+PSOyPp= biSKFiGdeWdcnrbMdSrJpsbVDGBorjSHHUkXPx1u/VSMaktaFs31Th7A7fFSOy8zt8flu37d/C4= ysbezw3N6ebN2+q1Wrlp7hn2+04yR0AADzudm2lQ/lcqt6ZRuoatpophpLiJ+DZRNus0pE3gEsK= Favqmqq7RjrK1cqaWEYd+UZbFW/kYqP3L9/U2vJDHd8/oFPHD+nFU/s1UQvUZ2zao2AKlZbiY3s= ZHyuwJpl85ZUs/J2SRm4v1et1DQwMaGRkTAcPHtTp06f11FNPaXBwMD9AsLi9JvvUOwgCHTx4UN= /85jd18OBB3bx5Uw8ePNDa2lohgMVJ8HImzQ82f1eNj+S8VAmtrA3lvZGxgfbu3atvfetbevvtd= 3Tr1i1tbm7I+0hBYFUJrfr6anr1tVcV1mqau3pFyw/vq9FoqONiGRMoMKEib9WJnEJjZGzhAEBr= 5HzP7ytvgtm5eiUVTmjc8Tf/+Nvc3NTc3DUtLCx0TavqnVwGAADwuNq1oaM4uSjhukJHMWK4wqf= fLp2satNDIZJP1QN5ZV/J7QNJI/11PXN4Uiu+X+2W1crKqtqtTRnFardjVSoDip3V/OKSFhcf6u= O5UB/f3tDlew/0zKEpnZwe19RIXXWTVje0tW1oeHhEZ155RTMz08lzUvqhvc1OPk9uV6/VNNDfr= 6GhYe3fv19HjhxRrVbLDwIcGhrSN77xjWSSlvfau3ev9u/fny9OX3zxRU1NTen27dt6+PCh1jc2= 5GXUbDZ07eoVXZ+bS0KRrcjYUBOTExrof1mTk3vS9ynQ1IEDMkEoGauBwSF98YtnVO3r1/z8gpq= NTRkXyRqvMAg0undSB4aGNbxnr46fOKHVR/fVajWTU8+DqpytqO2lyHnVrFHonZ4+9ZRGR0f0re= /8L3noGBsb1czMTNdv3BdSY7Ff53Gva/yinowbN27o3r272tzczL9H4AAAAE+SXRs61DW1yCWjW= /NZt121DDlfbDhPUkdgktCRbONJPkmPndHyhtNyf6SB0GpifEzffP0lrbWNNjc7mr83r/W1FTk5= tWKrhvq1sum00Yq00Wzp0WZDS5/c1AeX5/TciSM68+y0nj+2R8f3jmjfcL8Cba2Px/aM68233pL= iSAq2pnB5k4zvTSbIelkjBcZs60vIzuMYGRnRH/zBH+TfzxaizjktLCxodXVVrVZLo6OjGh/fI+= e9nKS11RVtrDzSrbkr8l4yQU19/X06dOiQpib3JMnMJI3gsQnkvFEsKQxCDY+N67Wv/paU9qVY7= +TlksHC6XzdmeERHTo+q0p2CnvkZGwgb4Lkt5UUNpKzx9NtUYeOHVeUVYXS6VXZryw71F3b6h07= /at4fGS/r+7RuMlriONY6+vrunz5slZWVrvuEwRBcv5JumWOvg4AAPA429Who3iWhuR6VqWF6VH= pt62VaoFX4DsyUVO10CgwkvNOitqK5PTB5VWtPWprYqii4ZGaXn7uiDoyqgShQvuMrDWKZLXSMn= q4It1ZWNXN+Qe6duu2bt++p6gdK2q19PHlOX3y8UUdPzCub73+RX3t9FHt6e9XzViFJnljjTFSE= KRbhNJehbTqkYWhnRrlP0+2YG232/rBD36gs2fP6u7du3LOqV6vq92J5WRk5RQqUmiMbGhlKqH2= 75vUYH+/vEvrPV4yQXK9Tpz2F1SSOlLU1dNtFXmr9ViKfawwNPnp4rbjVa2EqoSSzQZMOSk0krd= KDhhUEqycjDrpgYk1a1UNTKGh3MtY09WM3/PKu8YUPw41gCwoZAGyGDi892o0Grpw4YLu37+vdr= ud3y6O420jcwEAAB5nuzt0mMIfvM0X7/k4XQXpQX7Jtqo4kkzHq9901O6syihSJaikk6qcAmv11= 3/3D+oLYlkTyckrthXJBnr6+ClN7J3QyOiIRseGNTY2pKF+6dUvDOn15wbk4hk1mk73Fpzmrl3X= patzunbzjm7NL+l//9sf6//423/Rf/nPf6AzT01qcsAo8EkDtPdGxgSK07G7gVXSdO3Sfg1jf+k= FdPHMhuwE8uxAwTAMk5Ot0yaWwFqZfGSv1bFDBzVzcJ8GBvpkbNbunrxvMlIYSrGMmmnEW29J9Y= pU8UmYMBWpY6V3fn5H0/tHNLNvRCur6/r4kxv68stPa7AaqiKpYpROz5JaSk6Hz7h0TPF7P7+sY= 9OTOrJ/b3K4olxyLkgQ5j0bxVaQrX8HW9d6HOodxQZwn04pC8MwDx7NZlMffPCBlpeX5b1TEHTf= ntPIAQDAk2J3hw6pMJ3KKznQQulg3O5PxUMjDdWk4wdH9O03v6yG6oqCmry1XY3ezcamqmEy9na= j2VCj3UnWtVFHly9eUKPVVlBNPrkfqHr127YCtTWxZ1THjx7V4MBePXf8oF4+tU+L601dm9/U5W= sLOvfTs/q//vYfdOOFWX3t9Ak9c2SfrLeq2OQEbmOTU0CMSUoBQTpJ61c56q7YF9C7XSfbhpOMu= 02az52kvr5+HZ6Z1re/+XXtGR9NpkilvRwySf927IxiI80vb+jchWv60Tvvqq+vX888dUKnnz2u= mYPjWm3FevfyI/39j85LcaTx4X75TksPHyxoYWlVb736rA6MDye/Ji9tNmP9b3/xf+prb35Zp56= eTSNOEkR+8JOf6tq+vXrjtRc0e2h/MuZ4awBZT/Un3XeVn4vSu7lud+oNCtnksex3uLKyoitXrm= hlZSU9WX77fejrAAAAT4pdHTq2Fp8mPYxva4JR19hUl8xlqhujmb1D+tZvPaeOKoqMlTNbgSOU1= O4kB/t5OXWijjpRlGwn2uxobXVVG522OkaSc4oiqbm+qnZjXWFgtLGyptXlhh5+eEFh1ap/ZEz9= /eN68fiUXj7+hu7cWdHV63e0cO+OXnj6qL565rQmRwLV0t4G4yMpjiUbpM3tSnsrfvWlcxAEev7= 559VsNrW4uJi8Dc7l4WNycjINI0bHjhzSU7OH1VerJNu8jM3b8rdOZ5du3Hug7793UUvNio7tm9= L5SzdU669oYnpcjxpN/d0Pzun6vXVFcazw3poGalYzU9O6sxTp5qNIFz+5oLqN9aVXXtCmlW4vt= 3Rn1Wl/WxqoSu3I69r9lm7eX9X01JTCWp9cWtUwkjpRLFmbVmKybWjbT+N4HM7n6K1SZNUpSep0= OpqfnwfnjN0AAAp9SURBVNdHH32UhxHv43x8bjFMEjwAAMCTYNeGjt6zOYyS7VX+M8am2rQ5ebg= W6umZvYolRYVPzANJlfSYQOfTxm3j02MDJRNZGStFRmql27VabWlzfVOtZkONxqbWNhpaXm9qfe= 2RWp2OfKutarWpgZrVvr39+sKRQ/roUl1X5m7q/OXbajurr7x4XAfGhjRQMcl5E4XG4nxM068QP= LIFaBAEOnHihOr1ujY3N+V9cuhgpVKRMUb79k1JRoo6He3dMyq5VraKl7NWcfrmuvSAxFjS/eVV= fTR3W/tmjml06rAUhpq7v6z2Ty5qrRXr559cV9A3qsHhUXXaTW34WIN7Z7TSWNWdZa9Llxe0sXx= fq6aq2sCQ4oFJ/XzuodYjo+F+q9W1ph5u1hUO7tHUoUMaGR9LfiPepaEyfXt8epZH+psvHhGY2c= 2BQ58xsSqpaBgtLy/r1q1bun//fl6lys5hAQAAeBLt2tCR6R6duvPPrU3qH955mTj55DjKuxYKh= /Z5n7aEeHmffILsTZyeYB5KLtkOFUpqe2mgJo3V+mXVJ2mP4mSGlt74yvNykjY2nO4vLOv2jTl9= 8sFVfevbb+jZb7+mOw+e07n3r+iDn/1UYzWv4ORR7d8zpL5qRdam1Zp0S00SOPQrLaOLn4J3j51= NJmJlC3gXR5KP061pYbqdyuZvpfdJhSMy0t3FFd2YX9Jmx6npIt1f3tTJU8/q8uVP9C//9zuq9A= /LVAbUiKT+sF9BpV/NjVXN3XqggYo0d29Jrcqwrq3e10//64+07+CMXBzqg/c+0n+/0Keh/roeP= HyoPfsOaGJ8UkPjowqrVkaxfORkguSAxNhvbZsr/gt4nAKHeiocSgNH9nXr1i3dvHmza7JVdnJ7= UbFyRSABAACPs10bOrr263ufLveTBbVJJ1fli1OXHCBnsp4J7xQamxyMZwrtx2nTtneSc17eOJn= Aq+PaqsRexlRkZVW1yZRbZY+SLgorsmp7qWqT5zbQbzV5dFzPHRtX7L+Y3+fYngEd+tqL+uarT+= n/+94/6VLgJDurqck9qqahJggCKe4UJnG5X+qA+OK41SBIm8HTT8mNMbJBoHY6rjYIrKx3koulo= Jpf36ejiK1NHrXtvb77Tz/R3/63/66ZY8f0n//wP+n9Dx7p4+uPtNGpa/+xp7XZbGlmqKqbdx/q= zp37Gt0zrrHhcX06d0VffeW0fvTv57R/elp9B07o1vwH+vTyHc3OHNa671d/ZUTB8KhMU7p49ZZ= OHT2g1Y1YrY40WLWyYSj5WMZ72V92q9mvMvJrFzAmCVV3797V3Nyc5ufnFQSB4jhOA+TO/Ry/6I= wPAACAx8GuDR259DwJ7fBJb9arYazZWoQakx8kaH02slR5E3In9gqNURAkvQ2xnMKgKqMgGa2UF= h4C4+VcR8YmPSXyRs471YLkLds66fz/b+9+fttI6ziOv5/n8Thu2nRLUrpsU4nyY7sIiYU9gDhy= 4MSFPwCJ/5ILJ45IUUWlkpJWXdQ4ZUNodu14SePY4+fhMPOMH4/t1gItbcafl5Q4Hs8ko1EO853= n+2M64dyV55sZCA461zf47W9+jWu1yLKsusmfeAhhUs7nCCunV6VPz9NJ5fHn+LmNmVzVhTJMJr= 4snjDVNYmh3MHnp5z2LtnZ2ebW1k3++Ic9/nrwd+7u7hL8JSf/OOL83+c4s8G1UAR9vn/B4MzTG= Q949pc/8/vf/YrTwZg/7T2nY8Z0Oo4tl3Nr+zqX532OvnzJaDTkOp6P791md2eTzQyC9/g8x7bc= 9NzeEH5dldvvmDJFrZ5jb2+Pw8PDso4jVK9xUnzaGEBtc0VERKQp3v+gI96MJ52ryjAgWQ0xtbv= RcqaDceUT5FAd46yZxiYYHK64wY3tk0x8MVjjkswnUxU8p3+yqjuJh8YCYgJtY9neulG+n56ZNW= CNTSarr9aHKX3ibargofYagx8Tkl5PFmscvjq3avJJsdJxOSLkI7ZvbPDTT77Lg48/ZHj2JZ99+= hE7W9cYfX2Pb93ICN7inMUbGE+KJ/HXTE4+Mfz4R3fpDcbc/2CLizxnc9Nx61oHFwL5eMzwcsR4= FNjswHfu7HBvZ4u2AYvFtLKqR65ZcjXmrs57H32UqXx4vC8Ch273kH6/R56P8D6uYMQUq9rRCjR= ERESkQd7/oANqz75N8p2ZbbNbTbJ4MN3uzMweZapWGYU4Zhhj052Znxu+PFyI+8YLnAYdMeBZfu= 6rqafdxPc29q2drgXNDNWrF+l/9O0tvnd3m/NBn+PP/4a7/CcPdnf42fdvs7t9kyz/kJ2bbUK5W= IKJqzWQOcgnxWyOOxsT7t+6jms5NjqmGJBY/o2JhzyHjfb0rCwU6VQmXvhFV/hqCiEkAYXn4uKC= R48e0et9RQgBa2P61Oxxms0hIiIiTXRFgg5WuClf9vl/e9wqx67+mxf/pm/yFnt+mkXckqYuOeD= enZv84tMfkpHzxckrvvriX/z8lz9g94NNbndabADt8sAQitZSxsZOU4GNMpJrZ4YbrSJ1jXoxtY= WQvYvr8K5Mg4bxeMzx8TEvXrzg/Py8mtcRu1mJiIiINN0VCjpkdW++tTdJ6boLgWAMn31yn588u= E/uoeUgD8WqUFb+k6SdlqYrNYHJZEKrVfwb1SdwzxdBX7Hq7//J9Pr0+3329/fx3tNut/HeVwXk= IiIiIutAQUcD1RNz5ldcitQfF0LZBasFWBzQdkUzsKzs0EWA4AMBj3PurTfKMdjwfnb/devElOc= 5zllev35Nt9vlyZMneO/JsoxWq4X3njzPZwI1ERERkaZS0NEwab2GqZ631+edhNg3uKgtyEcYa3= HWEXwRjBCSGhprl/aTim17o9ipKe3YlG5fF0VgMaHb7fLw4UMAsiyDMt0qBmUiIiIi60BBRwO9v= QS53MOACT6JTnzR8cqa2d9SFqUvKm5eVJuQBhjpCsc6BR0Q6PV6HB8fMxgMZob8xeuVtsUVERER= aTIFHQ20QvPdsqlv2S3KJmlTIeCTPlJpP6ll6VH17fX36xVsFCYTT7fb5ejoqAos4hBHa63SqkR= ERGStKOhomNUCDqpS8mAdIW4zhmCKm2ODLQvGyymIhLkVjCjeQNc/W6cajrrB4IzDw0NOTk6qbX= GFI9a6TCaTd3qOIiIiIv8vetzaQCsFHsZibAsfijke3pjpwEBjCRa8AW/KEYZJABFTpurF4cver= xvvPU+fPuX09LQK1NrtNiGEqo4jz/O1vDYiIiKynrTS0VDLAo+521w73VZ9ZihTrKZT1t9WFL5o= RaPpKURF5y83Ezx473n16hXPnj2j1+tV28fjMc65KtVqXVeAREREZD0p6GikNLSYn92efhrndVB= LvFp8tJCkj9WDKmMMo9GI/f19BoOvVSQuIiIiUlLQ0Wj1wXzzW1mSY5e22TUKPSrpqkbs3EUZgA= yHQ16+fMnz588ZDi/e4VmKiIiIvF8UdDTSoiBhUf1AWLq3mftJgUeqXjTvvaff7/P48WPOzs7wX= kXiIiIiIlGzk+7lDQKE+pdf8KVi51Q92Ig1HcPhkJOTEw4ODmb2ExEREREREREREZFv2H8AWprc= wlPdS2EAAAAASUVORK5CYII=3D" width=3D"797" height=3D"1124" alt=3D"" style=3D= "margin-top:-36.2pt; margin-left:-85.05pt; position:absolute" /></span><spa= n style=3D"height:0pt; display:block; position:absolute; z-index:-65535"><i= mg src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXIAAAAtCAYAAACzi+C= fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAABm9JREFUeJzt3H2IXNUZx/= HnVAsFXfyjZaHF9o8iFlJIISgVpCKFJZQQJMQGDaEEgqEKbalFExWNTRqoGo3GlappqRgqttWkY= nxJg7USTNOmRlFbl+j6kmxeNlE3a8xm3TV++89vyMnJ7LztTtdsfp9/Zu655zz3mbk7Z2aec2cj= zMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzGzqAQY40dPF/iPZvocbiNcFPAMMtpDLL7NjDQFXFPs= fLnJd2+wx2gn4CdDbptirgIPAN1sYOw94AdjbSrxafavFbjUv4O/Ag83GMTvtAT8AXtLE+NfyxQ= osBD4GHgLObSDeBmAU+HQcOS1SPr1AR7FvLvAhcFmr8dsBWAYMAvdOdi4l4EXgU+CDz1PscizwY= 6AfeGqi8zSb8oDvAcPA5ir7pgH/bDLeugmYyF/TG8iGKvt7Wo3dDsAs4DBw+2TnMhZgUzsm8vHG= LscCP9R5Xz2hSZqdgr7QTOeU0paI2B4R363y9fkXEbGpyeMPN9m/msMRcV9EzAJ+PgHx2mlpRLy= fUrp+shOpYSLOSTtinzA2pfTniHgmIhYAneNPzezU1dRELr+NiLMi4qai/VsppVvyBmCmyjFHgU= +A/wLzx5fyyVJKSyLi+YhYCkyr1gf4TGWYF7T9urb3aPta4BXg30C3yjJDwIOqae9RKWhHKznqj= e+CiHgla/sV0KNS1VZgBPgAuCPrM0+5DgEfAU+o/XrgVX0jeVPflP4IPJuvO9Q7B/qW9ZLGD0TE= 14qxZbzZwA6tiRwF/gVMH6PvmLG1/1k9pmN6vlc1OlaeioivRMTPWjknZqc1TSx92fZPgUeKPh3= ALmCbSgpL9GI9UKmhA2snoLSyNTteL7Al29+T3e/Sgm1lIp+mx1GZyN/TxN4HrAG+r4n9Y+AxYA= 5wt/osayHXGzQ2n6SH1PY2cJ2O0asJcjbQqUl6GXAh8ID63wPs1/1+YK7ibczXHRo8B2/omPO0/= 1BWiy7jnQvsBbYAl+oNbxj4ddm3gdgz9ThXAjM0ae9tZGzxvH4CPNfs+TA77QE3axK5RdubgQuL= Prepz6ysbY3aumOCJ3Jtz9EnvNujSo0c2F2ZyLX9t8pEru2dQP6JeS0wmm135vk3mev9Gru0aB8= ANmXbV1eutNEkV8029e0Fthfx1mUTb81zkJ3Hxdn+shadx1utybfqYnbRt25stV2jN5rhbJJvaG= z2/L3c4Gkwm5JaKa1ESmlFRPRFxOWawI+llLYX3c7T7UjW9qRuv9paunXz2hAR3RGxGJjZQoiRY= vtYRKQs/oFxpFd5w+oo2k84ZkrpNzrulyPiGxGxN53sInUfjZPlteR65+A7up9fSlrWsfPtr0fE= cEqpL6rL+9aNrU/SKyLinYjY0szYPEyrf8dmU8V4XgBPR8S3I2J5RKyvsn+3budmbWfrtm1Xk6S= UboyIrRFx5xhdysf8xXblUtil22oLc2dW7qhMcoYmt30R0VmuKwDnN3jMeufgsO7/aKx8Cvsj4h= xgYQPHrhlb35ouiYgFKaUrI2Ko0bGFL0XEhw3kY2YllRkGgJ019u/XNdO3qqa6DXgv67NRi5ALW= sxhjcoh04v2DtWW+4v2HtXAu1TXfVdf4Q+pZt6nevX5ivGE8psfJ5Y9/tLslRKKdwTYWLT3q2a9= WNfqv67nrVM5HVRd+gbV7buB36muvCcvBRXP6fx650B16iPK4TrV0V/VYzyq8Xm8Gaqx71ZJ5CK= VjFZXOXa92I9qkXOprgvv0aWZHY3kpePNV9tdzf/1mFnE8R/1rKmx/wotWo3oBbijUvLQCzm3SA= teDdU7tRCZm1nsnw28VbSt1GRxGHgceE5vBMuzxU6AfarJ5rqL7T80k28cr8m/W7T160qZg6oT/= 6eyeBnHf2i1U4t6g8CT2bjKxPaO2taXz0mtc6AxS/QGNgq8pV9Nvg3cMUa8q7V/RJP64zWOXSv2= xXrOh4F/6E35aOU3CrXGZrn/SR8m6v4AzcxOUUDXZOeQ0yfqQeCBrK0/X+y0xujyxEPAfZOdi5m= dZnT996CuT+/SVTbb/amycfr21lftF8ZmZv8XwFWaiHJvTnZepwr9A63fT3YeZmZmZmZmZmZmZm= ZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZlPP/= wCdVJi7dDFDRAAAAABJRU5ErkJggg=3D=3D" width=3D"370" height=3D"45" alt=3D"" s= tyle=3D"margin-top:11.8pt; margin-left:229.2pt; position:absolute" /></span= ><span> </span></p></div><p style=3D"margin-bottom:0pt; text-align:cen= ter; line-height:115%; border-bottom:0.75pt solid #5b9bd5; padding-bottom:1= pt; font-size:18pt"><span style=3D"font-family:'Times New Roman'; font-weig= ht:bold">Estrategia did=C3=A1ctica mediada por GeoGebra para el aprendizaje= de operaciones combinadas en estudiantes de noveno a=C3=B1o de educaci=C3= =B3n general b=C3=A1sica en modalidad extraordinaria</span></p><p style=3D"= margin-bottom:0pt; text-align:center; line-height:115%; font-size:14pt"><sp= an style=3D"font-family:'Times New Roman'; font-style:italic">GeoGebra-medi= ated instructional strategy for learning combined operations among ninth-gr= ade general basic education students in an alternative education program</s= pan></p><table style=3D"width:100%; margin-bottom:0pt; padding:0pt; border-= collapse:collapse"><tr><td style=3D"width:4.48%; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; t= ext-align:center; line-height:115%; font-size:10pt"><span style=3D"line-hei= ght:115%; font-family:'Times New Roman'; font-size:6.67pt; font-weight:bold= ; vertical-align:super">1</span></p></td><td style=3D"width:45.6%; border:0= .75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"ma= rgin-left:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; text-align:justify;= line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Ro= man'">Jeniffer Francisca Moreira Zambrano</span></p></td><td style=3D"width= :5.44%; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= "><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-= size:10pt"><span style=3D"height:0pt; text-align:left; display:block; posit= ion:absolute; z-index:0"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAAN= SUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSs= OGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUh= UnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/r= X/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/= c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/= 863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbghkp5nx= /Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk4Uheyw= qMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjlQboEqt= Mcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx+bnaA+= 2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEUIiLWsA= PAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKrR2zreIDUR= ZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J= 4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3u+EiZjAKK= KfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7BI+DVoyma= slG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6l/JJXE2ff= XLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+erya/CqYm47= 3bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASUVORK5CYII= =3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; margin= -left:-0.3pt; position:absolute" /></span><span style=3D"font-family:'Times= New Roman'"> </span></p></td><td style=3D"width:44.3%; border:0.75pt = solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-b= ottom:0pt; line-height:115%"><a href=3D"https://orcid.org/0009-0008-1541-61= 28" style=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"line-= height:115%; font-family:'Times New Roman'; font-size:10pt">https://orcid.o= rg/0009-0008-1541-6128</span></a></p></td><td style=3D"border-bottom:0.75pt= solid #000000; padding:0pt; vertical-align:top"></td></tr><tr><td style=3D= "width:4.48%; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-ali= gn:top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'"> </span= ></p></td><td colspan=3D"4" style=3D"border:0.75pt solid #000000; padding:0= pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:ju= stify; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times = New Roman'">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n, Ecuador.= </span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:1= 15%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Maestr= =C3=ADa en Educaci=C3=B3n</span></p><p style=3D"margin-left:7.1pt; margin-b= ottom:0pt; text-indent:-7.1pt; text-align:justify; line-height:115%"><a hre= f=3D"mailto:jfmoreiraz@ube.edu.ec" style=3D"text-decoration:none"><span cla= ss=3D"Hyperlink" style=3D"line-height:115%; font-family:'Times New Roman'; = font-size:10pt">jfmoreiraz@ube.edu.ec</span></a></p></td></tr><tr><td style= =3D"width:4.48%; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-= align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:11= 5%; font-size:10pt"><span style=3D"line-height:115%; font-family:'Times New= Roman'; font-size:6.67pt; font-weight:bold; vertical-align:super">2</span>= </p></td><td style=3D"width:45.6%; border:0.75pt solid #000000; padding:0pt= 5.03pt; vertical-align:top"><p style=3D"margin-left:7.1pt; margin-bottom:0= pt; text-indent:-7.1pt; text-align:justify; line-height:115%; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">Johanna Cecibel Murillo Pi= co</span></p></td><td style=3D"width:5.44%; border:0.75pt solid #000000; pa= dding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-a= lign:center; line-height:115%; font-size:10pt"><span style=3D"height:0pt; t= ext-align:left; display:block; position:absolute; z-index:1"><img src=3D"da= ta:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQ= ICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN= 6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0U= RPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhD= xpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7= e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlX= hqXdIVYt83SRS5Q4tp/NbTvScbAAbghkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJ= fdws9DwqYFSa0GO1SrpfucUVUXEZEk4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCU= AdUsy9Ggb+srLEVTnJk9xv07j2JNjlQboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH= 0N5O6GEToKHQzPv0O04sjWPHpKHRzx+bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4j= kWw0mMeMxXT1GN/+aemw8zeflbKvEUIiLWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2cs= SEEg4htqsj2qGeEIr9dm0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbt= RMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbK= lNIjThEvVCb678BLl+jmMeNlcA3u+EiZjAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1Pk= ZygFJss6664A490TNyZHmGaIg/7BI+DVoymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacK= C/N5w6kifsoKFh0jY1kVVxBodU6l/JJXE2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLf= BUBEIr9gL0T19ONKXH13aM94+erya/CqYm473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79= f227/A/4F4WeWL1XZmjwAAAAASUVORK5CYII=3D" width=3D"20" height=3D"20" alt=3D"= " style=3D"margin-top:0.45pt; margin-left:-0.3pt; position:absolute" /></sp= an><span style=3D"font-family:'Times New Roman'"> </span></p></td><td = style=3D"width:44.3%; border:0.75pt solid #000000; padding:0pt 5.03pt; vert= ical-align:top"><p style=3D"margin-bottom:0pt; line-height:115%"><a href=3D= "https://orcid.org/0009-0004-8782-0681" style=3D"text-decoration:none"><spa= n class=3D"Hyperlink" style=3D"line-height:115%; font-family:'Times New Rom= an'; font-size:10pt">https://orcid.org/0009-0004-8782-0681</span></a></p></= td><td style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid= #000000; padding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width= :4.48%; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= "><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-= size:10pt"><span style=3D"font-family:'Times New Roman'"> </span></p><= /td><td colspan=3D"4" style=3D"border:0.75pt solid #000000; padding:0pt 5.0= 3pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:justify;= line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Ro= man'">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n, Ecuador.</span= ></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">Maestr=C3=ADa = en Educaci=C3=B3n</span></p><p style=3D"margin-left:7.1pt; margin-bottom:0p= t; text-indent:-7.1pt; text-align:justify; line-height:115%"><a href=3D"mai= lto:jcmurillop@ube.edu.ec" style=3D"text-decoration:none"><span class=3D"Hy= perlink" style=3D"line-height:115%; font-family:'Times New Roman'; font-siz= e:10pt">jcmurillop@ube.edu.ec</span></a></p></td></tr><tr><td style=3D"widt= h:4.48%; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:to= p"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font= -size:10pt"><span style=3D"line-height:115%; font-family:'Times New Roman';= font-size:6.67pt; font-weight:bold; vertical-align:super">3</span></p></td= ><td style=3D"width:45.6%; border:0.75pt solid #000000; padding:0pt 5.03pt;= vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:justify; lin= e-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'= ">Efra=C3=ADn Velastegu=C3=AD L=C3=B3pez</span></p></td><td style=3D"width:= 5.44%; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"= ><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-= size:10pt"><span style=3D"height:0pt; text-align:left; display:block; posit= ion:absolute; z-index:2"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAAN= SUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSs= OGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUh= UnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/r= X/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/= c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/= 863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbghkp5nx= /Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk4Uheyw= qMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjlQboEqt= Mcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx+bnaA+= 2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEUIiLWsA= PAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKrR2zreIDUR= ZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J= 4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3u+EiZjAKK= KfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7BI+DVoyma= slG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6l/JJXE2ff= XLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+erya/CqYm47= 3bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASUVORK5CYII= =3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.8pt; margin-= left:-0.6pt; position:absolute" /></span><span style=3D"font-family:'Times = New Roman'"> </span></p></td><td colspan=3D"2" style=3D"border:0.75pt = solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-b= ottom:0pt; text-align:justify; line-height:115%"><a href=3D"https://orcid.o= rg/0000-0002-7353-5853" style=3D"text-decoration:none"><span class=3D"Hyper= link" style=3D"line-height:115%; font-family:'Times New Roman'; font-size:1= 0pt">https://orcid.org/0000-0002-7353-5853</span></a></p></td></tr><tr><td = style=3D"width:4.48%; border:0.75pt solid #000000; padding:0pt 5.03pt; vert= ical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-heig= ht:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'"> = 0;</span></p></td><td colspan=3D"4" style=3D"border:0.75pt solid #000000; p= adding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-= align:justify; line-height:115%; font-size:10pt"><span style=3D"font-family= :'Times New Roman'">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n, = Ecuador.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-= height:115%"><a href=3D"mailto:evelasteguil@ube.edu.ec" style=3D"text-decor= ation:none"><span class=3D"Hyperlink" style=3D"line-height:115%; font-famil= y:'Times New Roman'; font-size:10pt">evelasteguil@ube.edu.ec</span></a></p>= </td></tr><tr><td style=3D"width:4.48%; border:0.75pt solid #000000; paddin= g:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align= :center; line-height:115%; font-size:10pt"><span style=3D"line-height:115%;= font-family:'Times New Roman'; font-size:6.67pt; font-weight:bold; vertica= l-align:super">4</span></p></td><td style=3D"width:45.6%; border:0.75pt sol= id #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bott= om:0pt; text-align:justify; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">Giceya Maqueira Caraballo</span></p></td= ><td style=3D"width:5.44%; border:0.75pt solid #000000; padding:0pt 5.03pt;= vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:justify; lin= e-height:115%; font-size:10pt"><span style=3D"height:0pt; text-align:left; = display:block; position:absolute; z-index:3"><img src=3D"data:image/png;bas= e64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAl= wSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4i= Mxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nL= wcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XK= GqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5= znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4= tp/NbTvScbAAbghkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1= SrpfucUVUXEZEk4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVT= nJk9xv07j2JNjlQboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0= O04sjWPHpKHRzx+bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+= aemw8zeflbKvEUIiLWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEI= r9dm0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lB= Ts98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BL= l+jmMeNlcA3u+EiZjAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490T= NyZHmGaIg/7BI+DVoymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0j= Y1kVVxBodU6l/JJXE2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONK= XH13aM94+erya/CqYm473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1X= ZmjwAAAAASUVORK5CYII=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margi= n-top:0.9pt; margin-left:0.1pt; position:absolute" /></span><span style=3D"= font-family:'Times New Roman'"> </span></p></td><td colspan=3D"2" styl= e=3D"border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><= p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%"><a href= =3D"https://orcid.org/0000-0001-6282-3027" style=3D"text-decoration:none"><= span class=3D"Hyperlink" style=3D"line-height:115%; font-family:'Times New = Roman'; font-size:10pt">https://orcid.org/0000-0001-6282-3027</span></a></p= ></td></tr><tr><td style=3D"width:4.48%; border:0.75pt solid #000000; paddi= ng:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-alig= n:center; line-height:115%; font-size:10pt"><span style=3D"font-family:'Tim= es New Roman'"> </span></p></td><td colspan=3D"4" style=3D"border:0.75= pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margi= n-bottom:0pt; text-align:justify; line-height:115%; font-size:10pt"><span s= tyle=3D"font-family:'Times New Roman'">Universidad Bolivariana del Ecuador = (UBE), Dur=C3=A1n, Ecuador.</span></p><p style=3D"margin-bottom:0pt; text-a= lign:justify; line-height:115%"><a href=3D"mailto:gdmaqueirac@ube.edu.ec" s= tyle=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"line-heigh= t:115%; font-family:'Times New Roman'; font-size:10pt">gdmaqueirac@ube.edu.= ec</span></a></p></td></tr><tr style=3D"height:0pt"><td style=3D"width:19.5= 5pt"></td><td style=3D"width:199pt"></td><td style=3D"width:23.75pt"></td><= td style=3D"width:193.35pt"></td><td style=3D"width:0.8pt"></td></tr></tabl= e><p class=3D"Default" style=3D"text-indent:36pt; text-align:center; line-h= eight:115%"><span style=3D"font-style:italic"> </span></p><table style= =3D"width:436.35pt; margin-left:0.25pt; margin-bottom:0pt; padding:0pt; bor= der-collapse:collapse"><tr><td colspan=3D"3" style=3D"width:156.4pt; paddin= g:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:= right; line-height:115%; font-size:12pt"><a id=3D"_Hlk92186133"><span class= =3D"Hyperlink" style=3D"font-family:'Times New Roman'; text-decoration:none= ; color:#0000ff"> </span></a></p><p style=3D"margin-bottom:0pt; text-a= lign:right; line-height:115%; font-size:12pt"><span style=3D"font-family:'T= imes New Roman'"> </span></p></td><td colspan=3D"2" style=3D"width:258= .35pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:t= op"><p style=3D"margin-bottom:0pt; text-align:right; line-height:115%; font= -size:10pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold"= >Art=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gica</sp= an></p><p style=3D"margin-bottom:0pt; text-align:right; line-height:115%; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">Enviado: </spa= n></p><p style=3D"margin-bottom:0pt; text-align:right; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">Revisado: </spa= n></p><p style=3D"margin-bottom:0pt; text-align:right; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">Aceptado: </spa= n></p><p style=3D"margin-bottom:0pt; text-align:right; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">Publicado:</spa= n></p><p style=3D"margin-bottom:0pt; text-align:right; line-height:115%; fo= nt-size:10pt"><span class=3D"label" style=3D"font-family:'Times New Roman';= background-color:#ffffff">DOI:</span><span class=3D"label" style=3D"font-f= amily:'Times New Roman'; background-color:#ffffff"> </span></p></td></= tr><tr style=3D"height:6.55pt"><td colspan=3D"3" style=3D"width:156.4pt; pa= dding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-al= ign:right; line-height:115%; font-size:12pt"><span class=3D"Hyperlink" styl= e=3D"font-family:'Times New Roman'; text-decoration:none; color:#0000ff">&#= xa0;</span></p><p style=3D"margin-bottom:0pt; text-align:right; line-height= :115%; font-size:12pt"><span class=3D"Hyperlink" style=3D"font-family:'Time= s New Roman'; text-decoration:none; color:#0000ff"> </span></p></td><t= d colspan=3D"2" style=3D"width:258.35pt; border-bottom:0.75pt solid #000000= ; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; tex= t-align:right; line-height:115%; font-size:10pt"><span style=3D"font-family= :'Times New Roman'; font-weight:bold"> </span></p></td></tr><tr><td st= yle=3D"width:37.8pt; padding:0pt 5.4pt; vertical-align:top"><p style=3D"mar= gin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'; font-weight:bold"> </span></p= ><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-= size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold">= C=C3=ADtese:</span><span style=3D"font-family:'Times New Roman'"> </span></= p></td><td style=3D"width:1.55pt; padding:0pt 5.4pt; vertical-align:top"><p= style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-siz= e:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold">&#x= a0;</span></p></td><td colspan=3D"2" style=3D"width:358.55pt; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"m= argin-bottom:0pt; text-align:justify; line-height:115%; font-size:10pt"><sp= an style=3D"font-family:'Times New Roman'"> </span></p><p style=3D"mar= gin-bottom:0pt; text-align:justify; line-height:115%; font-size:10pt"><span= style=3D"font-family:'Times New Roman'">DATOS REVISTA</span></p><p style= =3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:10pt= "><span style=3D"font-family:'Times New Roman'">DATOS REVISTA</span></p><p = style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size= :10pt"><span style=3D"font-family:'Times New Roman'">DATOS REVISTA</span></= p></td><td style=3D"border-top:0.75pt solid #000000; padding:0pt; vertical-= align:top"></td></tr><tr style=3D"height:0pt"><td style=3D"width:48.6pt"></= td><td style=3D"width:12.35pt"></td><td style=3D"width:106.25pt"></td><td s= tyle=3D"width:263.1pt"></td><td style=3D"width:6.05pt"></td></tr></table><p= class=3D"Default" style=3D"line-height:115%"><img src=3D"data:image/png;ba= se64,iVBORw0KGgoAAAANSUhEUgAAAjcAAACMCAYAAACAuogxAAAABHNCSVQICAgIfAhkiAAAAA= lwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvXd4VFX++P+6M5PMJJNeCYHQa0LogkgHlyIgV= RBBAVGWIEXFL+qigooCugqiiIgi0nsg1IRmIKRA+iST3kjvk2RSZ+b+/khy16zuruui+3F/83oe= eOCWc84999wz7/NuRxBFUcSMGTNmzJgxY+Z/BNl/uwFmzJgxY8aMGTMPE7NwY8aMGTNmzJj5n8I= s3JgxY8aMGTNm/qcwCzdmzJgxY8aMmf8pzMKNGTNmzJgxY+Z/CsVvX4XY5l8CSH8jiiCA2HpUFB= GFluOtxwThRzf/7bgZM2bMmDFjxszP8ftobkRollqk/wBgEpr/KSKCKGISBUwIIAiYxObrRNHYf= P7v7jVjxowZM2bMmPk5fgfhRvibFkYUABmiCEYRTAiIgoAMEQETggBZJVUcv51MbkUtgiBgEkRM= GEBoai5HNGtuzJgxY8aMGTP/mN9HcyOIgKlFTWNqPoSIDCMCphaBRSCnrIZP/WPYelLDjnNx5JT= XIYhyBFHefKtowvS7NNiMGTNmzJgx80dF+D0yFIuiCQERREHyrxGFZmOTXDQhCnJSi6vYduoeIS= l6mkQlChoY09ue9XOH0MNVjSAaAQGTIEdmVt6YMWPGjBkzZv4Bv73mxtRsjhLFZh8bQSaATEAmC= MiFZoNUXrmeD47d5kayDhMWyGQiBpkltxJ1bD19j/QKfYveR2jW9PwP0tjYiI+PD66urkyZMoVd= u3axevVqXF1dcXV1ZfTo0Xz66afS/3/8Z/fu3QwaNAhXV1cOHjwIQFlZGaNHj6ZPnz4UFBQAcO/= ePYYPH46rqyv9+/cnICCAsWPHSuX4+flRW1vbpl2vvfYaNTU1bY6dP3/+J2146623pPPu7u7S8T= NnzkjHP/zwQ+n4mDFj+O6775gyZYp0bMOGDYSHh/+kbA8PDz755JM2bQgMDJTK/uCDD6RrV65c+= Ru8nd+X2tpaXnrpJbRa7e9e9+zZs8nJyWlz7Ny5c+zevRuT6W/fnlarxc3NDYCTJ0/y1Vdf/aLy= tVotH3zwASUlJT97PiwsjO3bt1NdXU1UVBQvvvjir36Wc+fOsXXr1l99/98zY8aMX/ycD5vGxkZ= pnAcEBPxX2vBraWpqYteuXVy+fLnN8Vu3bvHmm28CcPXqVT755BPq6+t/VR0ZGRlMnjyZ2NjYh9= Lm/0vU1NSwePFiCgsLH0p53333HcuXL8doNP7Da06fPs2GDRv+o3pMJhPffPMN+/fv/4/K+dWIv= zUmUTSYRLGyvlHUFleJJ0LTxM8CYsVdF+LEc/ezxawKvVhQWStuPhYm9l1zSuy2+pLYfc1lsfva= S2K3NRfFHmv8xZf23RYzS6pFo8kkGo1G0WQy/ebN/r2oq6sTv/vuO1GlUolvvfWWKIqimJSUJHb= o0EGMjo4WJ0+eLD777LOiKIpiUVGR+OSTT4pvvvmmdP+RI0fEmJgYsaCgQOzZs6c4ceJEsaSkRD= SZTGJYWJgYEREhNjY2it9++61ob28v7t+/XzQYDGJ6ero4b9488d69e6KLi4s4a9asNu1qamoST= 5w4IXp6eoqVlZU/afc777wjPv7442J2drZ45coV0dnZWXz55ZfFhoYGMTk5WbSxsRG//PJLqd0T= JkwQfXx8xISEBFEURfHmzZviypUrxaKiIhEQ586dK4qiKJ46dUoMDw8Xn3rqKXH58uWiTqcTL1+= +LEZFRUl1p6eni48++qi4Z88eURRFsby8XHzsscfEdevWiXq9/uG/pP9DFBUViZ999tlvUva6de= tEb29vMSMjQwwJCRGPHj36D69dtGiR+LCnj9raWnHRokXiihUrRJ1O91DL/iXk5OSIBw8e/Idja= OnSpeLBgwcfSl0mk0kMDw8XQ0JCfvE9oaGhYq9evcSTJ08+lDb8Xty+fVv09vYW/f39pWMFBQXi= woULxUWLFj2UOjQajZienv5QyvqtiIuLE3ft2vVv33fy5EnRzs5OzMvL+0XXFxQUiPv27RMbGhp= +cq66ulqMiIj4zb4vo9Eo7tu3T8zOzv5Nyv93eGih4JJtSxR/FPIt0mgS0ebrCIjI4m5CAfkltd= SZLBARsFKAt5eKWcO68Oyf+mGpVHA0OI9ag6LZd1gGJpOSG7HlyIlj7ZO+dHJWN4eKiyYQhJaKm= qOs/ohJe65du8Ybb7zBCy+8wLvvvgtAr169+Oyzz1AoFBQWFjJ79mwACgsLyczM5JlnnqG+vp7w= 8HCefvppAGJiYnj++ef55JNPuHPnDlOnTqWpqYlu3boRFBSEn58fGzZs4Omnn0Yul9OuXTvefPN= NqqqqMBgMTJo0qU27UlJSOHHiBDU1NX8Lx/8RWq0WT09PHBwcmDRpEkuXLiU0NJQHDx4QFxeHi4= sLffv2BWD58uVkZWXx/fffS8f69euHm5sbeXl5KBQKRo0aBcCECROwsLAgISGBpUuXYm1tzeTJk= 6V6i4uLOXDgAImJiVhaWgJQX19Peno6q1evxtra+l/2eUVFBQcPHsTa2ppFixYREBCAWq2md+/e= dOrUCblcTnFxMYGBgfTs2RMXFxcuXLjAjBkzUCqVhIeHY2dnh0aj4aWXXqK6uporV65QVFREv37= 9GDdunFSXyWTi5MmTiKJIu3btGDlyJLt370alUjFnzhyCg4MpLCxkzJgxCILArVu3mDRpEtnZ2Q= wcOBClUsnhw4fp0aMHnTt3ZufOnQQHB+Pt7U3Pnj0l7dXjjz9Onz592rwfvV5PWVkZJSUlDB06l= B9++AFra2vGjRvHtWvXGDJkCDKZjODgYKZMmcKnn37KxIkTSUtLY/fu3dja2tK+fXucnJwQRREf= Hx9KSkrw9/dn1KhRHD58WBp7FhYW9O3blwsXLmBtbY2bmxv9+vVDq9USFBSEjY0Ny5Yto6ioiIy= MDAYNGkR8fDwVFRXk5uZiY2PDvHnzWLFiBdeuXQMgKyuLnJwcRo8ezffff8/jjz/OyZMnGTJkCM= OGDUOj0UjP9PTTT2MwGAgICMBkMjFw4EAEQcBoNNK/f3+OHz9OUVERnTp1YsKECdjY2PxkXOzcu= ZPQ0FCcnZ0pKSmhsbGRbt26kZmZSZcuXRgwYADdu3fn6tWrJCcn07NnT7Kzs+nZsye2trZEREQw= atQo+vXrh8FgaPOeRVHkyJEjAEycOJHKykreffddXF1dcXR0JCgoiHbt2mFnZ0daWhrLly/nzJk= zlJaWYmtry9KlS//luAYIDg4mNjZW0gKnp6dTUVHBrFmzOH/+PF26dGHEiBFotVquX79O586dmT= ZtGjLZ32bPgwcPolarGTRoEB4eHmRnZ3PlyhW8vLyYOHGi1Hf19fX4+/szYMAAAgMDGTx4MBYWF= ty7d48pU6aQkpJCfn4+ixcv5tlnnyU1NZW9e/diZ2fHggULWLJkCRcuXICW+Uan0zF48GAyMzO5= ePEizs7OzJo1C5PJxNGjR6mrq2Ps2LH06tWL6OhoUlJSMJlMzJgxg4sXLyKTyZg7dy6dO3du0yc= nT56koKCACRMm0LdvX27fvo2FhQVJSUl06tSJ8ePHt7n+wIEDdOjQgZ49e9KxY0dCQ0O5d++eNI= bLy8tJTk4mNzeXoqIiRo8eja+vL/fv3+fu3bvY2dkxceJEOnTowMGDB7GzsyM7O5urV6+iVqvp1= 68fXbp04erVq5hMJp588knatWsn1V9WVkZQUBDFxcVMnz6dSZMmSXOKwWAgLCyMqKgo+vTpw+OP= P05eXh7Xrl1Dp9MxYcIEzp07x+3btwGYPn06169fp76+nuHDhyMIAtevXyc0NJTFixejUqmIjo7= GysqK27dv06tXLyZNmkR0dDSiKDJo0CCio6O5e/cuAEuWLEEul0tjs2PHjkydOhWlUokoikRHR7= N3717S0tJYtmwZNTU1WFtb06tXL+Lj47l58ybdu3dnwoQJpKWlUVJSQllZGVVVVSxduhSdTkdQU= BD5+fmMHz8eHx+fXzTuf46HJA80h2ibxNYcNc1GJKMgcENbxJaj9zgcXEBasQV12CLKrREVllRj= yf2sJj45n8rpkDSenezLknFdsFGYQGxunEmQUY+SwJgiPjwWTlpxDaIgICJiQkQUBRCbHZT/aOj= 1eq5evYrBYGDTpk1tzs2aNYv8/HwKCgoYMGAAAKWlpeTn5/Ppp5+yYMECrl+/Ll2v0WhYvHgxM2= bM4I033qCxsZHq6mpcXV3ZunUrjo6OPPPMMyiVSgCsra0ZMGAA8fHx1NfXM3LkSKms4uJiTp06x= bBhw3BxcflZ4Uaj0dCpUyfUajUARqOR+vp6mpqaOH/+PE5OTnTv3p34+HgCAgIYN24cQ4cOle53= dnamb9++REREIJfLGTZsGAAODg4UFBRQUVGBl5cXCsXf5O+qqiq++uorpk2bhouLCyqVCoDk5GS= sra3x8PD4l31eUlLC6tWrcXBw4PLly8TExKDRaIiIiODYsWOSqtbS0pLY2FiuX7+OIAhcvnyZu3= fvsnjxYl555RViYmLw9/cnMTGR8PBwbt68iY2NDc8//3yb+t599102btxIQUEBjo6OrFmzBoDc3= Fy+/fZbHB0dCQsLo6GhAbVaTU1NDT/88APr1q2juLiYixcvSs+dkpJCu3btUKvVODk58fXXX1NY= WEhFRQWXLl2ioaEBgOzsbN5++22ee+45kpOTCQwMZOPGjTg4OLBz505yc3MJCQkhIiICgCtXrpC= SkiK12draGhsbG5ydnamtrWXDhg3cuHEDgC+//BKDwSCZrrKzs9mwYQPBwcEUFRURHh5OSEgIJ0= +epKmpiQ8++ABnZ2cOHTpEcHAw27dv57vvviMkJITnnnuOv/71r1hZWbF161bCwsKkNpSWlrJo0= SLOnDnDkSNHWLNmDatWraKhoYFLly5RW1vL+++/j0KhICgoiKioKPz8/Pj0008xGo0UFBSwfPly= bt++TVJSEvv378fZ2Znr16+Tmpr6s2OjXbt22NjY4OjoSFVVFS+99BJ79+7lo48+Ij8/n82bN3P= 58mX0ej1r167lo48+4s6dO6xcuZLr169z/vx5Dh06RF1dHe+99x537txBq9Vy8uRJAgICuHv3Lr= m5uWi1WrKysvjhhx9wdnZGrVYTEhLCypUrOX78OJs2bSIwMJDPPvuMhIQEXn/9ddLS0v7l2I6Mj= OTGjRu0a9eO4OBgjh49SmNjIx999BEKhYKkpCSuXLlCQUEBmzZtwsvLixMnTnDr1i2pDI1GQ3p6= OmlpaXz99dckJyezfv16vLy8uHHjBlevXpWuPXbsGCtXruTo0aMIgsA333xDTU0N33//PZmZmVR= VVfHFF18AoNPpiIuLw9HRkQ8//FAae7R816tWrSIoKIiioiLWrFmDl5cXp0+fJiwsjJs3bxIZGU= l9fT27d+/m4sWLLFmyhLS0NNq3b8+5c+coKiqivLxcMsu38t1335GQkIBcLmfHjh2cOnWKZcuW8= cUXX1BaWsrbb7/d5vo7d+6Qn5+Pv78/169fp7CwkPPnz+Pl5cW9e/d477332Lt3L0uWLCEzMxOA= LVu2cP/+fYKDg/Hy8qK0tJQ9e/awfft21q1bR0xMDF5eXtjb2+Po6IjRaOTw4cOoVCr0ej1//et= fqaurA6ChoQF/f3+KioqwsrJi7dq1VFVVSe2Lj4/n2LFjeHl5sW3bNm7dusXp06epr68nPz+fnT= t3Ym9vj729PR4eHvj5+fH5558jl8tRq9Xs2bOH3r17U1VVxYIFCwgMDGTp0qV8/vnneHl5sX37d= u7fv89rr73GjRs3yMjI4Ny5czg4OHDp0iUCAwM5d+4cDQ0NeHp6cvnyZUlABVCr1ajVatq1a0dB= QQErVqzg/v37pKen8/7770tj7uTJkyxevJi33npLEvTz8/M5d+4cWVlZeHl58fLLL0suFb+Gh6S= 5EZoDvoWWwChRpEmQcU1TwJYDYZTUWYLMAlFuwIiAzFCLQhQRTCKi3ILSBhl7A7NoaDKydJIPBq= OJA9czacQSuSBikstpEq24mVwNp6J4Y8EQOjhZYkKOAgF5izfOH42mpiZ0Oh2dO3fGycmpzTlRF= Hnw4IH0QZhMJtLS0nB2duarr77C1dWV0NBQ6frExEQWLVrEkiVLOHfuHPv27aNHjx4oFAoePHiA= SqWie/fuP2lDeno6TU1NbVb98+bNIywsDIVCgb29/U/uyc7OpqysDF9fX+RyOQDh4eF06NABBwc= HIiIicHd3x8PDg6SkJARBwNvbGwsLCz7//HM2btwIwKZNm8jOzkYmk+Hl5SWVn5mZib29/U9WYF= 988QXbtm3j448/5sd+8ElJSXh4eODp6fkv+3zDhg2sWLGCgoICXF1d6du3LzNmzGDTpk0sXbpU0= gY5ODjQrVs3KisrcXV1pWvXrtjb27Nhwwa++OILXnrpJeLi4oiPj2fu3Lm4ubmxYsUKacJr5ZVX= XuH+/fvMnj0bS0tLvvrqK9RqNUajkYEDB/Lyyy+Tnp6OyWSisrKSuXPnYmVlxZ07d6BFyDpx4gQ= 7duxgyJAh2NraEhsby4ABA+jZsyfFxcX4+Pjw3HPPYTAYUCqVdOjQgYkTJ9K3b1+WLl1Kbm4u3t= 7ezJs3j1OnTqFQKPDy8kImk+Hh4dGm7wHat29Ply5d6NmzJ3/6059ISUnBwsKCrKwsrl+/zs2bN= 4mPj+eDDz6Q6rKwsMDFxYWzZ8/i5+fHsmXLCA8Px9PTk4ULFzJr1iwsLCygxb+iX79+zJs3D2dn= Z5566ikqKys5d+4cTzzxBABOTk6sXbuWkJAQZs+ezdtvv837779PTU0NBw4coLGxka+//pr9+/d= z7tw55s+fz//7f/+PLVu2MGfOHNRqNYmJiQB0796d06dP89JLL3Hnzh3mz5//s2NjzJgxpKam4u= vri8lkwt7enjlz5rB3716srKwkH4QePXoAMHnyZBQKBadOnWLNmjWkpaXx4MED0tPT+eCDD5DL5= chkMoYMGcKOHTvw8/Nj69atzJgxg8rKSuRyOYMHD8bLy4tevXqRmZnJ+vXr2blzJyqVCk9PT9au= XUtJSQlJSUm4uLj8w3Hd1NREUFAQvXr1Yt68eXz//fdERETQr18/FAoFarWaHj16kJmZyd27dzl= 79ixBQUHU1dXh7e0taS8cHR3ZsWMH77zzDn/5y1+4cOECly5dIjg4mIaGBpydnZkzZw4AkyZNol= OnTrz++usYjUY0Gg22tra4urpiYWFBjx49pMWPra0tM2bMYM6cOVRUVHDjxg0GDx4snVu4cCEFB= QXcv3+fvn37MnPmTCZNmoRCoUAURRwdHaVFyebNm5kxYwZPPPEEw4YNo6GhgcDAQNauXcvYsWPb= 9Mvu3bsl4aauro5t27bxpz/9iZkzZ+Lh4fET4cbd3Z1vvvmGjz/+mClTprB79258fHyYOXMmU6Z= MwdHRkbt371JaWsrTTz+Nq6sraWlp7N+/n9GjRzNz5kxKSkrYuXMn06ZN4+DBg8yZMwcfHx/i4+= NxdHTEwcGB48ePk5mZiclkYsSIEVRVVWFlZUVtbS0nTpwgJCQEuVyOra0txcXFUvuCg4P5+uuvO= XToEDU1NYwaNYqmpibWrl2Lg4MDjY2NhIeHU1JSImnZDhw4wJw5c0hISMBkMjFz5kymTZvG7du3= sba25oknnmD+/PkMGzaMd999F2dnZyZOnAgtc7GFhQULFy5k9uzZVFdXs2fPHubPn0+vXr1wd3c= nPDwcvV6PWq2mY8eOeHl5MX78eHr06MGsWbMAuH37NqdPn+bq1avU1dXRv39/li1bhk6nY8mSJb= z//vskJSVx+fJlAgICUCgUWFlZkZeX94sWrT/HQ7XkyEQTINAkyrimyWPz/hCK6xWICjmiYESBg= YEeMtZN78ouv6F88KwvI7qqsJLX0oSco4GZHAtKYMboHjw1ugOWYiMyowmZaADBBIKKYG0VO/yj= yS2vR96cNQdEY7MW52E+zO9A6+BtampCr9dDi+NgWloaBoOBmJgYfHx8cHBwwGAwkJCQgK+vL+3= bt6ddu3aMHTuWvLw8KisrJQ3HiBEjWLJkCZs3b5aOubu7YzQaqa6ulupOSEiguLiYpKQkpkyZgk= wmo6amhr179/LNN99QX1/Pe++9x88F04WEhKBSqfDw8KCmpobt27eTm5vL888/T11dHampqYwdO= xZBEPDy8sLW1pbk5GTq6+tZsWIFdnZ2PPPMM/j5+XHnzh0GDBjQZgAHBQXh7u4uCTcmk4mbN2/S= v39/Kioq0Gg0bdoVFBSEp6enpNrNyMigoKCAxMREKisrpetaNSFr164lLCyM9evXIwgCERER0uq= xdQXVSlNTE0ajkcbGRgoLC7G2tsbCwkISgkRR5ObNm7z55pvs3LnzJ31lbW0t/cgpFApsbGxIT0= 9Hr9dz+vRpFAoF3bt3JyoqigcPHtClSxcsLCwkQWD48OF88803bN++nUOHDrUpe8OGDSxfvhx/f= /82/SeXy1EqlahUKmkMKJVKBEFoY35oamrCZDJRW1tLUVFRG4fhVmQymaTts7CwoL6+nrq6Opqa= mqDFVNpattFoJCAggMrKShYuXIhSqSQrK4uGhgasra2pqKhApVJJfaFUKjEajchkMurq6tqYimQ= ymWRibL2n9bwoijQ2NjJ9+nTkcjmrV6+WfsBlMhkymQy5XI6VlRW0mM0GDx7MvHnzWLhw4U+e8R= 8hCAKWlpbY2tq20SC2YmFhIWk1W/tIFEXkcjkWFhasXLmS6upqjhw5gqenJ8HBwQQEBPDtt9/+b= Hmt783Ozo6kpCRWrlzJE088gYODw0/eTX5+vvRNtbZVEASqq6sxmUzS+KRlThFFkYaGBskptVWY= qKmpaaNttLe3Jzk5GaVSyYoVKygrK2P27NkUFBSg0+lYu3atdK1SqUQul2MymTCZTCgUCum5DAY= DjY2N1NfXk5ubi0wmk/qrurqaTp06tennVi2spaUlKSkpNDQ0YGFhgV6v5/Dhw+zatYu33noLJy= cnLC0tpboBtm/fzqVLl3jnnXckYaoVlUrFyZMnqaqqkrSnSqUSpVKJTCb7Sb+6uLgQGBjIjRs3e= P/997G0tCQ1NRWj0YjJZMLBwUF6163fU2NjI1ZWVpL2UxRFVCqVNB5b2/nj9zx+/HgSEhLQ6XSc= OHFCWtwKgkC/fv0IDAyksrISjUZDx44d27yft956i+LiYmpra3nyySfR6XRUVlZK3+ePUavVyOV= yBEFAqVSSnp5OXV0dCoUCk8mEWq2W5ooft691/LSa6GtqalCpVNTX11NeXi4JXHK5XJrffm48//= i9Ll26lMLCQskEZWVlhaWlZZv+6d69O2fPnqWiooLU1FTJjeHXIN/09/aQX4lIs2BjEiE6p5Sdp= +PIqrAEuQxRNOGgMjHvsQ6sm9mfif060N3dnj4dnRjQsx21dfVkFVRRixXJ+aUoFQIzR/XAUiaS= 8qCcJqOIKMhBEDAiJ6e4mtLKavp2dcVOpWh1u2lJF/jH0eAolUrc3Ny4ceMGiYmJaLVawsPD0Wg= 0hIeHc/bsWURRZMSIERw5coSrV6/S2NhIVVUVERER+Pv7Ex0dzcWLFyksLGT8+PFYWVnRp08frl= 69yrJly3BxccHb25vIyEgiIyNJTU0lNDSUsLAwYmNjCQoKwt7eHi8vL3bu3ElDQwPTp09Hq9Wye= /duMjMzGTx4ML169QLA39+fQ4cOkZ2dja2tLQEBAcTFxbF69Wp8fX358ssvCQsLw8fHh/79+9O5= c2ecnZ0JCgoiLS2N0NBQLl26xLPPPsu9e/e4ePEi7u7uDBw4ECsrK44ePcq+fftobGxk/PjxeHh= 4sG3bNi5fvsz06dORyWRs376diIgI7O3tSU9Pl3wEampqCA0NZcuWLXTs2JHXXnsNe3t7+vfvDy= 2Tzo0bN5g7dy42NjaUlZVRX1/PZ599hlqtRqVSMWbMGEmwKCws5NChQ1RUVBASEkJdXR0pKSkkJ= CTg7OzM5cuXKS4uRqVSUVpaSmNjI0FBQTzyyCPS6v706dOcPXsWb29v+vfvj8lkYt++feTl5ZGY= mMjw4cMRRZErV67g4eFB7969iY2N5eDBg1hZWXHv3j00Gg1Go5G+ffvSoUMHvv76a9q3b8+lS5c= YPnw4cXFxJCYmMmjQINzc3CgtLeX48ePExMTQoUMHjh07Rk1NDfX19Zw9exZ3d3fUajUXL16koK= CAu3fvYmtri06n4/Tp0/Ts2ROdTkd4eDjV1dWEh4eTmJjI7NmzuXPnDqGhoaSkpBAaGoqPjw/h4= eEkJSXRu3dv3nvvPVxdXTEYDJLgFRUVRXx8PDU1NWg0Gm7cuMGAAQNIT0/n7t275OfnExUVxUsv= vcS1a9f44Ycf6NOnD8eOHZM0YQEBASiVSiorKyXh99q1a/j6+hIREUF+fj4pKSmEhYUxZswYaNH= 06XQ6rKysKC8vR6FQcP/+feRyOcnJyWRnZ9O7d2/peywuLubo0aPY2dlx9+5dbt++jY+PD4MHDy= YmJoZ9+/bh7u6OXq8nMDAQFxcXdDodUVFRtG/fnitXrlBcXMyCBQugJapQr9eTm5tLeHg4Wq2W6= upqfHx8pOfT6/UMHjyYL7/8kuzsbMaOHUuXLl3Yv38/YWFhWFlZodFosLOzw8bGBn9/f2xsbIiO= jmbjxo0MGzZM0sLV19dz5MgRsrOziY6ORi6XM3nyZCnSLTg4mLS0NJ5//nlu3brFvXv3CA8PR6l= U0rVrVwDu3r3L3r17ASTfkaCgIOLj44mKikIQBLp16wZAXV0dBw8epL6+XjKxTZw4UZq/MjIyuH= fvHgMGDMDOzo7w8HDi4+NJS0tj3rx5BAUFcfv2bXr37o2/vz8ajYZFixZx9epVEhISCAsLw8bGh= qSkJPR6PZWVlURERKDX67l79y4ODg7079+fc+fOYWFhQW5uLrGxsQwdOlSK5HN2dmbnzp2UlpYS= HByMSqVlIQKmAAAgAElEQVTi4MGDKJVKkpOTuX79OoMGDaJnz57SO2stz9XVlenTp3P8+HFSU1O= Jjo5m0aJFuLi4EBAQIPWzIAgsXrxYMqnExsbSp08fSkpKOH78OJ06daJ///7ExsZK/VReXs6dO3= fQaDTk5OTQs2dPSeDKycnh4sWLpKSkEBkZidFo5NixYygUCsaNG8fp06eJj48nODgYDw8PysvLC= Q4Oln5DPD09uXLlCllZWcTHxxMaGsr48ePx9vbmxo0bhIaGotFo8PLyolOnThw6dAhbW1vi4+O5= cOECHh4ehIeHk5KSwrhx44iKiiIyMpLY2FiMRiPt27eXvs2cnBxGjhzZRsve6pOmUCgkv83p06d= z7tw5EhISuHfvHjU1NZw/f57y8nIaGxvx9/fHwcGBrl27Ss8eHh5O9+7df9Z68Et4aHluxBY/m3= K9gY/9o/APL8WAFSahEVdlEy9M7su8EZ2xVbY4C4sgw4RRlJFfVc+XF2I4HlqAUa7CUWnk6VFeL= J7ozeEbSRy6mUm1wRJB1uxZIzMYkdPIxIEu/OWpobhbWyDIWk1TfxzhppWEhARpEler1TzyyCPc= vHlTOt/6Yfw9arWa9u3bk5OTIwlBravbqKgofHx8JAk8KSmpjd1+4sSJ0o8XQNeuXcnIyMDT0xN= fX18KCgqIiYkBwMvLC19fX2gJJy8qKmrTjoEDB+Lp6Ul+fj4ajYbGxkbJp6d1RfLj+wRBwMfHh5= ycHHQ6nWS2cnNzIyIiQgo99/b2pkuXLly4cAFbW1vJ96jVWc7S0hKDwfCT1ZeVlRU+Pj6sW7eO1= 157jUGDBknnWvvB0dGR/v37YzAYSExMpLy8nN69e9OtWzdpNV5TU8Pt27ellWW3bt2Ij49HLpfj= 4OCATqeTQvg1Go20svH09GTgwIHQYq4rKSmhW7dukoB46dIlAHx9ffHy8qKpqYn4+Hg8PT1xc3M= jJyeH+Ph4nJyccHV1paCggKqqKsaOHYuFhQVBQUF4eHigUqnIzMyUVsv9+/fHw8ODqqoqYmNj0e= l0dOvWjfT0dJRKJba2tpSWltKuXTs6duxIdHQ0tJgFevXqRVZWFoWFhXh5eWFjY4NWq8XGxgaTy= YRer2fs2LGUlZURHx+Pg4MDlZWVjB49msjISPR6PY8++iharZbKykp69uxJz549ycjIkMxDY8eO= JTExkeLiYvr378/hw4epqqpixIgRdO3alV69enH//n1KSkro27cviYmJ0qqyuroamUyGm5sb+fn= 5dO/enYqKCsrKylAqlZJ2onU8qtVq7ty5g62tLd27d5cExFZTa11dHWFhYbz++uvS2KiqqiIsLA= wHBwf0ej16vZ4OHTrg7e1NTk4OWq0WBwcHACorK1GpVCiVSnQ6HdbW1lIahcceewwLCwvJl2XUq= FGUlJRIK97Ro0ejVqulZx02bBjh4eHQ4mjfqVMnsrOziY+Px9nZGZ1Oh1wux8vLi9TUVKysrHB1= deXQoUNMnz5dcsZvaGggOjqa0tJSbt68SUNDA59//jm3b9+muroaKysrPD096dGjhyQIAEyZMkV= aPZeVlZGenk5xcTGdO3emT58+FBUVERUVhYWFBcOGDZP6oLy8nMcff5zdu3dTXl6Ot7c3Xl5e5O= bmEhMTg42NDYIgMGbMGKqqqoiJiaGqqoohQ4Zgb29PXFwcJSUlkmN2Q0MD48aNo6SkBI1GA8D48= ePR6XRERkb+5D23zlXZ2dnSWGlsbMTX17eNtiMkJISKigo6duwojWtnZ2caGhqoqanBw8NDMpHl= 5+eTkZFBZWWlNK8lJyeTmpqKg4MDI0eORKvVsnfvXh555BHs7e0ZNmwYzs7OpKWlkZSUJM1VOTk= 5ZGdn4+rqyuDBgykoKCA2Npb27dtL35/BYKBXr16SwAhQXV1NTEwMOp2Ojh074ujoSFxcHFZWVo= wdO5aUlBTS09MBmDZtGkVFRcTFxdHQ0EDv3r1xdXUlJiaG6upqaU565JFHcHNzo7CwkPv37wMwd= epUHjx4QHx8PO7u7tTU1KDX63FycqKurk5yQi4pKSEtLQ2ZTMawYcOws7MjNDSUqqoq3N3d2/hS= 8qPfsy5dupCZmYmtrS2PPPIIxcXFxMfHY2lpSb9+/YiMjMTGxgZLS0tJqzt48GBpPnZxcWH48OH= 8Wh6OcCO2/CWYCEkv57WvQymps0AUTFgIBpaN7cyfJ/fF2hJEQY6cZisTCBiFZttYlcHEe4fucP= 5eMUa5NSpTDSsmdOGZKQP5+nIcB3/Iok6wRdZigBIQUBlqeHFyd16Y3A+VTI7wx5RtzDxkGhoa2= LVrF506dWLu3Lk/6xBt5r9Pq6P7ihUrfve6n3nmGR5//HGWLFnyu9f9MNi/fz86nY41a9b8rEng= 0KFDhIWF8fnnn/9mbWgVbiIjI3+zOv4votVqOXToEKtWraJ9+/b/7eaY+Qc8HIdioXXlLCcqvZQ= KvQlkMmRGI4O72vDUqO7YtAg2slbn3xZJRC6YMCHDViHnL4tHYWEZwaV7+TjbqOja0RUHlYKlf/= KmtKqOc/fLEOQKTDIFgmiiUbDh0r0CHu3lyeDurpJpysz/v1Eqlaxfv/6/3Qwz/4SwsDDOnj1L1= 65dGTNmTBvz0O9Baxj7H5V/FhpeWFjIrl27UKvVhIaG8uijj/4mbThx4gQKhYL58+dz/Pjx36SO= /2uYTCbOnDnDtWvX6NatG8uWLftvN8nMP+Dhbb8giiAIvPZ9GGfCixAUKmTGat55ZiALhndBjog= oyhBa9r5sNiE1h42bkCGYmrMPZ1fVc+52At06uDJxQEcsRAFBEEkuqeXVL4NJKhNALkeOAZNJgZ= IGlozuwKppvlgrH1raHjNmzJgxY8bMH5SHEi0l8rfNug1GscVMJcNSNNKvsxNyEUyiCaPQvLeU0= JKbpvUmoTlRDSDS0V7J0sf7M8HXA0uxsVkEEgV6utkweXgnRFNDswVMFBEEkXpRzt3kYoqqm6Nc= foetsv4n2bp1q5ST4u+ZM2dOm5XZ5s2b8fPzaxN99XtiMpk4d+4cly5doqSkhEWLFv2i+06cOEF= gYOCvrvfTTz/9j9K7b9myhSlTprTZquK3pNXxupWtW7f+bETXP6Ouro5du3b9pqaHixcvMnv2bO= bNm9cmuu3nCA0N5fjx4zQ2Nv5Hdc6dO5fS0tL/qAwz/5zCwsI2Pk0/Ji0tje+//17K4RIXF8fGj= RspKyv7l+XqdDq++eabn2wT8lty9uzZf7mVR0ZGBn5+fr9bm1qpra1l48aNXLlypc3xO3fusHv3= 7t+9Pf9XeCjCTYtcAoCHoxUKmYgJE4gGjCYRURBAUCAKIgh/v5+FIAk3RpkckGNtaYGl3AJBUII= gwyTIEBB4zKcDzioZMlHEJMpakvfJyS5vJK/81+1JYqaZ2NhYyfHz77l+/ToZGRkAFBUVERkZyY= 4dO7C1tf3N27Vt27afHJPJZEybNk3K3PnjJGT/jDlz5jBhwoRf1Y4zZ86wdevWXzT5/hwBAQEYj= UaOHz9OZGQkycnJv6qcf4dXXnmFIUOGQEskULdu3Vi1atW/VYZGo+Hll1/+zQSBtLQ07ty5w1//= +ldqa2sJDg7+p9cPGzaMuXPntgl1/ndZs2YN/v7+v3ofo9+Duro6Lly48BPn/X9GSEgIUVFRv2m= 7/h3c3d157733fvZct27dWLhwIba2thiNRhoaGli8ePFP8n39HNu2bWPfvn1S+ozfGp1Oh4uLy8= /uc9bU1MSePXsA6NKlCzt27Phd2vRjkpOTWbhwoZStuDVr+YgRI/6jvdn+6Dy0UPBmAUWk3iQjN= CGXOqMMA+BoJdC/qxtKmQyZYETA2BzWDQhCy0YNotDi9ClKOyoIgqz5mCAiICID6prkXArPpbpB= BFlz1JUCAZPJxCM9XOjbwb6l3D+O501tbS0ajYasrCwsLCywsbEhMzMTrVYrpV63tLQkPDwchUJ= BXFwcKpWKgoICsrKypDwFhYWFxMXFUVhYiIuLS5s8GpGRkeTm5lJTUyMlZMvPzyczMxMbGxv0ej= 3dunVjwoQJKJVKoqOjycnJoaGhgerqap588kmGDRuGo6MjsbGxjBw5ksrKSpycnMjKyiIpKYm6u= jrS09Opr6//yQRVVVVFZGQkJSUl2NvbS9lSU1NTqa2txcXFhZqaGgoLCykqKiI1NRW5XM7169c5= fvw4vXv3xsLCgpycHDIzMxEEAb1eT1NTE/Pnz+frr79m1qxZaLVa7O3tKSwsJCcnB5VKhUajobC= wEA8PD3JychAEAblcTlpaGjk5OVJ0QCsRERFkZ2dTV1eHvb295KzZp08fkpKS6N+/f5sIitYs0P= +MqqoqTp8+TVVVFW5ubqxdu5bS0lLS0tLQ6/W4uLhQVFREYWEhKSkpGAwGdDodNTU1JCQkIIoix= cXFJCcn4+bmhtFoJDk5mbS0NHQ6HW5ubtTV1RETE8ODBw+QyWTY2tqSkJAgRSNoNBqsra0pKyvD= ycmJpqYmEhMTkclkxMbGolarpbwwrcTExFBTU4PBYMDX15fu3buTlJRESkoKCoWijXBbW1tLfHw= 8tbW1JCUl4eDggKWlJfHx8RQWFkr92bpFh1KpxMrKilu3bhEZGYm7uzsbNmxArVaj1WoxGo3Y29= uTm5tLYWEh1dXVODo6Ulpaik6nw9bWlvLycumZW0N/c3NzqaqqIikpiYaGBpycnMjNzSUhIYHCw= kJsbGyYNWsWn376KX5+fqhUKhITE0lPT0cmk2FnZ4dWq6WkpASTySTl2KElC3dGRgZJSUnSe6+o= qCAhIYGsrCypT5KTk7GwsECj0aDX62lsbJSif+zt7dFqtZhMJinCxd7eHpPJRGRkJNnZ2bi4uBA= SEsKOHTvo27cv7du3R6vVShErtra2ZGVlUV1dTUZGhhTmv3PnTqqqqujduzcNDQ1ERUVRXl6Oq6= srDQ0NxMfHYzAYpJwnrTQ0NBAREUFBQQG2trYolUoyMjLQarVUVFTg7u5ObW0t+fn5lJSUkJycj= JWVlZSHSBRFIiMjKSoqwsHBgZycHPLy8rC0tCQvL08KfU5KSsJgMKBSqaitraW0tBQbGxuampqk= 3FXW1tZYWVmRn59PVVUVKSkpFBQUtHHc9fX1JS8vD1dXV4qLizGZTNK17u7uJCQkUFZWhr29vZQ= zLDU1Fb1eL/W7IAjY2dlJc215eTn29vbU19eTkZGBTqcjKSmJjh07YjAYaGhokFIcxMXFUV9fjy= iK7N+/nytXrkgpHfLy8qQUAa1h3tbW1giCQGxsLFlZWdTV1eHs7CyNqdZ36+rqik6nIzk5GRsbG= +kdNTU1SfNNY2OjlCursLCQ3NxcXFxcMJlMNDY2snnzZpqamvDx8ZHmEDs7O3JyckhMTKSsrAxH= R0f0ej3R0dHk5eVJY+rHaDQaKbq2vr6etLQ0KioqUCqVxMbGSnmlWss1GAw4Ojq2KSMqKgqdTod= CocDS0lKK6qqtrZUiEiMjI6Vkta1h8BUVFdI39HPbpPxSHoqTiig2xy9V6Ovp7eXAGN/2nLtfTK= PMmkv3HtCtnT1TBnbGyqI57Z4AzVqclrgnEBBEkAmtR0QQhR/55jQLK4UV1VTVNSIKFsgQEQUQT= SJGoOrvdrP+I1BfX8/p06fRaDRSqOuaNWs4ffq0lNfB29sbtVrNiy++yJo1a0hPT8fa2prevXsT= GRkpRX189tlnyGQyMjMzGTNmTBuJfe/evRw8eJDZs2cTFxdH586d8fX15fz582zcuBFvb28WLFj= AmDFjmDNnDh999BEDBw5EpVIxdOhQlixZwvPPP89LL73EG2+8waOPPkpoaCjr1q2jpKSEVatWMW= HCBORyOQaDgStXrkg/CDU1Naxfvx43Nzc0Gg0rVqygQ4cOHD16FJlMhlarZf369dy9e5cLFy4wY= sQIkpKSpMmioKCACxcuUFZWRmpqKoMHD2bw4MEcPHiQBQsWMHLkSPR6PUePHiUiIoIRI0bQu3dv= Dh48yGuvvcbRo0e5cOECV69eZdWqVfj5+VFRUcHevXsZOnQoo0ePljI3Jycn8+qrrzJkyBDq6+t= 5/fXX2yQbayU9PZ333nsPLy8v/P39pZDGf0RFRQVarRadTsfly5cxGo1cunRJmvBWrVrFmTNnKC= 4upl+/ftTW1nL//n1GjRpFcXExWVlZPProo5w/f56PP/4YOzs79uzZg6urK8HBwZw5c4bz58+Tm= ZlJfX29tN/Oiy++yIkTJ7C3t+fy5cs0NjaSn5/PiBEj0Ov1bN++ndWrVxMWFsbcuXNZtGiR9N5+= +OEHDh8+jJOTk7RdQXh4uOSIW1tby9dff40gCFKuoI8//phXXnmFsLAwJk+ejJ2dHR9++CFTpkx= h7Nix3L17l3v37kk/Fh988AFxcXGkpaVx7do1XFxcOHz4MLa2tmg0Gj766CPJHBoVFSW90z59+v= Dqq69K2wqkpaUxdOhQhg4dyjvvvIOPjw+CIJCSksKpU6f4+OOPsbS0lHJBtUZIGY1Grl69SnBwM= EqlkqKiIvz8/Dhz5gyWlpbk5+ezZcsWSfiNi4vj+++/R61WSybO1pwhtISHP/HEE7z99tsMHjwY= S0tLsrOzGTRoEIWFhTQ1NbF8+XL+/Oc/89hjj6FQKCgoKOCTTz7h5s2bREREUF5ezujRoykqKiI= vL4+YmBj0ej0BAQFSIrwZM2bwl7/8hV69emFra0t6ejrvvvsuKSkpVFVVMW3aNClXTUFBAS+88I= K0H1BNTQ3PPPNMm/2UNm3aRG1tLbm5ucyePZvRo0fzzTffIAgCycnJLFu2jLS0NE6dOsWIESNIT= k5m7Nix0lYiJpOJQ4cOUV5ezkcffURcXBxRUVGo1Wpu377N+fPnuXLlClFRUWRmZrJ161ZOnTpF= SUkJmzZtkvJ1NTQ0SNl2169fj4uLC126dOHs2bMEBwe3WYTk5+cTEBBAdXU1giAwc+ZMtmzZwuX= Ll7l48SIREREsXbqUjRs3MnDgQGxtbcnIyGDkyJFSePIbb7zBs88+y2OPPUZqaiqrVq3ixIkThI= aGMmfOHE6cOMHly5dJS0tj586dbNmyhZiYGKKioiguLua5554jPDy8zXYmeXl5HDhwgGPHjpGVl= UVubi69evVi2LBhfPfdd3h4eFBaWsqnn36Ko6MjTU1NXLp0iStXrnDw4EEKCwv59ttv2bBhA7a2= tlIC08DAQFQqFSEhIfz5z3/mgw8+4IknnsDGxobGxkYqKiqYOXMmKSkplJWVcf/+fb744gseffR= R5s+fz3fffYfBYECr1bJ27VpiY2OJjIxEpVLRvn17Xn/9dUmYunfvHgcOHJCSx3bu3JmUlBRSU1= PZtWsXr7/+Ok8//TTjx49n586d2NnZkZiYyK5du6Qs8enp6ezZswe1Wk3Pnj2ZNGkSH3/8MU5OT= mRnZ7Nu3TqioqK4fv06dXV1PPXUUwB8/vnnPPbYYzx48IA+ffr8ZFuif4dfJdy0iiSi2JJ3Bkgv= ruGLc3eZMLwvC8b1JK9YR0hGLQ+qZHx1SYulhZwpAzs3+8rIRGRis8ZGlLVqZ5o3v2w2UoktfjX= NhYuASRCISM6hqqkJQWEJmBCRYZQJKESTlHjtj0RpaSlZWVmsXLkSV1dXkpKSCAwMxNvbmxkzZp= CUlMTBgwcZOXIkcrmcJ554gqKiIo4fP86yZctQq9UUFxdz/fp1bGxsePPNNyksLGTy5MlthJtp0= 6Zx9OhRHn/8cQRBICgoiK1bt3Lnzh1SU1OZNWuWlILf1taWsrIyLC0tWb16tZQtt6mpCX9/f2pq= ati8eTNr1qzh1KlTrFy5EplMhq+vLx06dGDXrl1tnjEhIYGioiL27t0r5Vt55513WLFiBY888gj= +/v58+eWXTJ06FU9PT5599llpY7jnnnuO6Oho3n77bfbs2YNCoeCNN97AYDC0yQNkZWXFsmXLmD= NnjpRoLiQkBLVazTPPPMOFCxdwcHDA2dlZyprcqVMn/Pz8pORdtKT837dvHzt27CA1NRWdTvez7= 619+/b4+flx5MgRUlNTqaqq+qfCTadOnZg6dSrV1dWsXLmSjz/+mHnz5jFgwAD8/f3x9/fH3d2d= du3asWnTJn744Qfy8vKYNm0aCoWCtWvX8txzz0kruKeeeorVq1ezbds28vPz0Wq1pKam8tprr0m= ag9Y9XgwGA7du3WLQoEFScsYDBw7QrVs3rK2tmT17tpQrqTVbsF6vZ+fOnXzyySfY2dmRm5sLLR= NPeHg47u7uxMbGsnnzZjw9PVEoFHTt2hUrKyuef/55pk6dyjvvvMPGjRtp164dL7zwAs7OzkydO= pU7d+5gNBrZsGEDMTExzJ49G6PRyNq1azl06BBnzpyhV69ehIWFER0dLWVtfvnll7GwsJCEzdDQ= UGpqavj8888pLS1l+vTpDBkyhA4dOjB27FgGDhzIpEmTqKurY/ny5Wi1Wj788MM2W5C0Cg0RERG= 4uLiQk5PDqFGjSEtLY9SoUUyaNKnNijYqKoqhQ4eycOFCxo0bR2lpKXl5ebz66qs4ODiwfft2cn= JysLOzo1+/fkycOJH333+f0aNH4+Pjw8KFC7G3t8fW1pZhw4axYMEC3njjDWJjY1m/fj2dOnXCa= DQSFxfHjRs3SEtLY/78+axcuVLKzZKamspTTz2Fu7s7w4cPZ/jw4UyfPp2+ffsyYcIEKafTV199= xZAhQyTNyZ/+9Cfy8/NZsGCBlNSSlq1UgoODuXHjhpSI8sCBAwwdOpSZM2cSHh7OmjVreOONN2j= fvj3PPPMM8fHx0l5jtGSi9fPz49atWyiVSpycnHj11Ve5desWERERmEwm8vPzaWxs5Pnnn6d9+/= Z4enqi0+koKSnh22+/JTAwEIPBwLp169BqtXh5edG9e3fWrVvH1atXycrKaiPcqNVqZs2ahUqlY= uXKlbz//vt06dIFWvblS0hIwM3NDQcHBwYNGsTo0aN57bXXmDJlitQ/RqORzZs3k5ubK23M2bdv= XzIyMnjhhRdITk4mMjKSrl27SloJnU5Hfn4+CxcuZOjQochkMo4cOcLcuXOprKwkLy+P3Nxcysr= KeOWVV5DJZOTl5eHk5MS2bdtYtGgRlpaWkgZFpVLh5+fHgwcPMBgMyGQyXnjhBSlPT319PRqNhu= nTpzNmzBhu376NTCbDxcWF5cuX07FjR44dO4ZGo+HRRx9l4sSJ9O7dm0ceeYSAgABoMVd26tRJ2= g+rNU9SayoEk8lEfX09SqUSvV6Pv78/c+bMYezYsWzatAlRFJk6dSo7d+6kc+fOUl6bS5cucebM= GXr37k1ERATR0dGScNPU1ERUVBQvvvgi48aNIzw8nCNHjjBkyBCSkpIYMWIE48ePx83NjS1btqD= Vapk0aRLu7u7Mnj2b4uJi9u3b9w/n1F/Cv+dzI0pbZDbvyt2yfWVWRS1bT4ZxMaaWvx6NRldVx4= anh9LbxYRoNJFRBlsPR/BDUj6CTCbFSImCCUEUW3Q5zY2R9qhq/YfYvOd3QU0jgeFZIFNJ5izR1= JL6XAau9uo/3PYLBoOB2tpaRFFErVYzePBgamtrpR9VO7v/j73zjo+qzPf/+8wkk5n0ZNILSUgj= 9F5DEUFUEEHWisJPUdDlYltZ14oiiu4VFlCxLk1RFBFR6RIglPSEFNLLJJPek0mbTDm/P5J5rrm= 6e1fX1evefF6v1TVTzjMzzznn+3y/3+fzdsXJyYmRI0diZ2cntsv6+vri4+MjSk/Nzc2iudfPz+= 8Ha9H29vYida9WqwWnxmw2D2jCnjJlioBBvvjii6IvwWq1ilUS/dutOzs7BazR19dXlLu+K1v5i= P46e1BQEDU1NQJzEBYWRltbG0OHDiUsLEyM0fa+gEAUeHp6itS/zVHV9ri/vz9arfZv1uy1Wi2+= vr5IkkRERATe3t4DLMfpJxNPnjxZlOH+lmwMoPvvv/971ur/k2RZFsRp+jlFsiwTFBSEn58fCoW= CwMBAQkNDRcDp7u6Ol5eXWFnl5ORw//3388orr+Dj44PJZKK7uxtZltFoNIwdO5bIyEhcXFyQZZ= m6ujq6urqQJAkPDw9cXFwICwvDxcVFzCnbb0T/nGhtbcXHxwd7e3txg29paeHNN9/k3LlztLS0i= AuZnZ0dMTExaDQafH198fDwoLe3lzFjxog5bDQaBcldo9EIs8Hvymg08txzz3Hy5Ena2tq49dZb= efvtt9FoNCxcuBCVSiWcnxsbG8Wct5VhPTw8xPemVCqRZRmDwcBTTz1FTk4O69evH3A8q9WKr68= vO3fu5OTJk+Tn53PPPfewf/9+enp6eOCBBwbM546ODgFWtdHrm5qasFgsSJJEQEAAHh4eeHp6Mn= 78eFQqFY6OjgQHB4uSX2BgIB4eHkRHR+Pg4ICbmxudnZ1YLBa++uorUlJSyMrKGjDO1tZW9uzZw= /nz56murmbatGkEBwcTEhKCRqP5HjKkra2NmTNnEhcXR0FBATt27OCmm27ipZde4rXXXhM3PfrP= T1u5ITAwkLCwMDFf6DfwbG5uZujQoYSEhODr6yt+q+8qKCiIjo4O6uvraWhowN3dXYzP3t6eP/z= hDyxevJgHHniAnJwcwsLChMFcQUGB+K5s5aeIiAiGDh2KSqVCluUB85P+8p6vry8KheJ7Y7EpMD= AQLy8voqOj0Wg0ODg4EBUVJTJgKpWKm266iYqKCn73u9/h4ODAhAkT0Gq1AmfS09MjrrcADz30E= M8++ywvvvjigABPo9EIk06TySSu61qtltGjR3P58mXGjRvHF198MeDaxXeMW+Pi4khMTBwQfNoM= NG1GpTNnziQ8PBxfX1/c3Nywt7dnyJAh3ysp29h4ts9gu46Hh4cTEBDAxx9/zJIlS3jjjTcGBPB= ms5menh6xWPt7vW2dnZ08/fTTnDx5kpaWFsGFAxg2bBgXLlwgLy+PP//5z9TW1rJmzRpOnnVN2x= MAACAASURBVDxJeXk5Dz74IB9++CH79u1j5cqVODo6EhkZSXBwMAEBAcJx+5/Rj8rcyJIFUKKQF= f3ZFStlTZ3s+DqTS4VdYOdMdYeFLZ+n89jvxvHnNdfyykeJZOh7qDdqeHrXZZ69YzzzRg1BbSfZ= YpcfOlJf2kZWAhKdZjgQf5XCRisKexUSvciyAqXcNwYPVwW+Hg5ic/lvRbZa6cGDB5kyZQoNDQ1= EREQIy+76+noiIyOpq6sTK7qqqiphNV9cXIyDgwN33XUX7777LkeOHAFg3bp1A45TXFyMyWSitL= QUg8EgnExtq5C6ujra29tpa2tj27ZteHh4sHbtWs6dOyegjp2dncyYMUNYppeUlLBgwQIsFguyL= FNbW4tWq8VqtVJUVCRO9DFjxqDT6dizZw/e3t7Y2dlx1113iZJGTk4Ojz76KOXl5ZSXl6PT6Sgo= KBC9FQaDgfj4eLKzsykvL6etrQ21Wk1paSlmsxn6L8Dx8fEkJyezatUqcWJcvHiR+vp6mpqaeO+= 996ivrycnJwcnJyeqqqqoq6sjODhYBGzp6ek8/PDDmEwmamtrqaqqYtSoUUiSRENDA01NTWRmZu= Lj48PUqVPp7OxErVaTl5f3d8282traKCkpob29XaxKDx8+TE9PD/n5+WKFbPsNampq0Ov1wum1u= bmZnJwcqqqqaG9vp6enhxtuuAG9Xi8upAqFgl27djFlyhTa29sJDAyko6NDlPIOHjyIp6cnnZ2d= aLVaent76ejoIDs7G71eT3l5uYCEurm5CYfnRYsWkZ+fzwcffMBdd93F5s2bUavVZGZmsmzZsgG= fu6qqiqNHj1JUVMTixYvJyckR2Y1JkyaxePFiXnrpJWbPno1Op+OPf/wjhw4doqKigvT0dGbNms= XmzZvx9vamo6MDDw8P4uLiuOGGG1i0aBFZWVmUlJRQU1PDrbfeytatW/n444/x8PBg9uzZqFQq0= e+h1+vp7u7m8uXLDBkyhOnTp5OWlkZtba2wtNfpdPj7+7N3716MRqM4Dzo7O0UpqbW1VWSLhg0b= xv79+9FqtbS3t+Pu7k5HRwfHjh0jNDSUrq4uoqOjaW1tJTMzk97eXmpqaigrK6OkpITW1lbBdjp= +/LiYU9OmTeOee+5h06ZN3H777cTHx7NmzRo6OzvJysritttuY/369WzatIn09HTmz59PdXW14H= bZHK5t59OKFSvo7u5m+/btTJw4kaSkJNF3s2LFigEB2/Dhw3Fzc2Pr1q1MnDiR6upqlixZwp///= GeCgoIoLy9n48aN6HQ69Ho9Op1O9KjU19eLm76joyNBQUHs3r2bu+++G7PZjF6vp76+ntzcXI4d= O0ZYWBj33HMPFRUV9Pb2Ul5ejqOjI3PnzuXVV19l+vTpVFRUsG7dOp555hmUSiXZ2dkYDAYqKio= YP3489vb26PV6MWcrKyvp7u6mpqYGg8HAxYsX0el0nDp1ikmTJtHY2EhBQQFWq5WmpiauXr1KUV= ERVVVVnDlzhjFjxjB9+nR27dpFVlYWDg4OtLS0kJ2dLfqEIiIixGffuXMnc+fO5bbbbsNoNIpyZ= 3Z2NgUFBWLDQXV1NSdPniQwMJDm5mYSEhJ45plnSEpKoqmpiZqaGoYOHSrKwIsWLeK2224TmSWb= NBoNAQEBHD58WHwGq9VKQ0ODwLdUVlZSXl5OfX09kiSRm5tLYWEhZWVlyLLMpEmTePfdd4mOjha= B4JUrV3j77bfJzs6mrq5O9ChpNBq8vLzYs2ePWGh7enri7u5OdnY2p06dIjc3V2B4NmzYgJ+fH1= 1dXQwZMoRZs2aJ+Z2UlMSMGTPIy8tj6tSprFu3jk8++QS1Wo2LiwspKSmsWLGC4uJiqqurSUxMp= KqqirKyMvLz82lvb6eqquofAiL/kH5UQ7GEjCTbbPgkrJLEX49lcjixDpPCEVkhYVFAY6eZQn0z= o0PdmD0umOqGZqqbTRhMagorqgj0dCDExwOFor/f5nsNwP19NpKMWbZyvqCGv57Ix2Dqa8xS0Gc= caEFCkk1MDndl8ZRQHO37YrXfSkOxSqUiKiqKwsJCCgoKCAwMZOnSpTg7O3Px4kWUSiU33ngjKS= kpYmI6OzsL4Fhraytubm7MnTuX6dOnEx8fj9VqZeXKlQMaBpOSkhg3bhyOjo6EhYUxfPhwDAYDo= aGh+Pv7ixXQsGHDiIqKQqvVkpubK8CEQUFBDB06lPnz5+Pr68uVK1cYO3Ys99xzDyUlJURFRQm6= dHR0NGq1WpR7HB0dmTVrFgkJCVRXV3PdddcxY8YMjEYjqampjBgxgmuvvZbMzExkWcbd3Z3a2lr= CwsJEqSM3NxeTyYSbmxvDhw9HlmXy8/Px8PBg8uTJTJo0iVOnThEQEMDtt9+ORqMRjaIhISFMnz= 6d6667jra2Nrq6ulCr1eJzDRkyRMwXf39/8vLyqKmpwdfXF3d3d7HSszUZGwwGFixYQFVVFUVFR= SxcuJDu7m6BW/gh2ZqB7e3tsVqtLFu2jMbGRjIyMhgxYgTjx48XaemYmBhqa2tFo3VeXh4RERGY= zWZUKhVOTk5MnTpVXHinTp2KRqNh2bJlAi3h7++Pg4MDjo6OWCwWbrnlFuhvLDeZTCxfvpysrCy= CgoIwmUwCEBkdHS0yXxMnTqS4uJimpibGjBnDgw8+yOzZswXvasiQIUybNk18d/X19eImbzN2S0= hIwN3dXUBQlyxZwvnz5ykrK2P16tW4u7uTkJCAvb097e3tLFu2DK1WS1paGlarlTvuuEM0VY8eP= ZrY2FgyMzNxcHBgzpw5zJkzh/j4eFpbW3n00UfR6/U0NTXh7e1NYWEhY8aMISgoCH9/fzIzM3F2= dkar1VJXVyc4X3fffTdtbW1kZWWhUqlYuHAhBoOBlJQUhg4dOuBm4+/vj0Kh4MqVKzQ2NnL//fc= TERHBlStXKCwsFM+1ZYzc3d2RJAkXFxcyMjKIiooiKCiICxcuEBISQmVlJTfccAMjR47kmmuuoa= ioiIKCAubPn8+QIUMwGAw0NTVx9913o1arycjIIDw8HHt7ezo6OnBzcxOsKpPJxNixYykqKsLf3= 5877riDlJQUysrKuO+++1Cr1VRUVNDY2Mjq1asHlFEXLFhAYmIiZWVlxMbGMn36dDw9Pbl06RI+= Pj7ceeedZGRkIMsybm5u1NTUEBERQUBAgAhu6M+OVlRUcNNNN2E0GsnPzxcASX9/f4qLi7FYLCJ= 7Y7VaCQ8PZ8WKFcTHx1NWVsbDDz+MxWIRuIPW1lYCAgJwd3cnMjJSNMd3dXXh4eGBXq9nzJgxgk= 9n6yO56667CAkJwc7ODqVSKTJ7FouF+vp63N3dmT59OlarlcrKSvz9/ens7KSrq4vIyEi6urrQa= rWYzWaBI3B1dWXEiBHU19fT3d3NkiVL8Pb2pqqqSjD/goODhTGlrcdoxIgRAttQUVFBWFgYWq2W= kJAQkflVq9WkpaWxevVqXF1dxXeqUCgICwujtbVVNIRHRUWJDOKwYcMoKirCbDYTHBxMYGAgJSU= lYo54e3szY8YMfH19Bdpm9uzZREdHc/HiRTo7OwkICBBZOaVSSXR0tAhKU1NTGTZsGDfffDOtra= 00NTURFRXF448/zvjx4/H19SU1NRWz2SyYavTfgw0GA4WFhcyZM4dp06YxceJEEhMT6ezsZPHix= QwdOpSMjAyxmcF23bW1RkRFReHl5UVQUNBPur/+OBO//mdapb5+F8kKp3P0vHYoG12zjEIhoZBk= ZFmJVZYJdjXyx1sn4O2uYevBdJJKOgnxkvnTbeOZGzOEvljk+5UxWe5rKpYlKzm1nWz+JJWM0p6= +reKSDLICWSFjAlwUvaxfFMnts6KxVyhQ/DbimkEN6t9K2dnZLFu2TJCRB/W3ddNNN/HMM8/8U9= ycQf17yVZ6fPTRR3/toQjJsswrr7yCp6cnDz300K89nB+tH9dzI/VFNxISChkUsszckYE8tnQk/= s595QmF1Q7JqkSSlFS2qnj9k3S6usw8vXwS4wOMPHbLOOaOHIKd4m+DoGRkZMlCc4/Mm4cySS3u= wSzZYVXIfYGVZAWrEkm2EuHtxLSYAFTK/j6dQQ1qUL+oWlpaWL16NSUlJTz11FO/9nD+V+u9997= jwoUL3HjjjT/Kw2ZQ/57q7u5m3bp1DBs2TGRY/7fowoULPP/882zbto28vLxfezg/Wj8qcyNjRZ= IVIMnIwmHYSq8MR1N1bD2STY1BiaSw6+NIySYkq4koXwceXzaGkSGeuKtVqJCxikBJ8b0yktkqU= 9xgYNuhdM5ebcOq1CAp5P6gR4EsW1FYwVHq4PFbRnHHzChUkhVJ+nHNnYMa1KAGNahBDerfTz8q= cyOhEHbEsgRWRV/vi0qCGyeE8IffjSNEKyFZjUiYsUpKLEp78ut62Hooi5zylv6tUIo+w77+sMo= GFUeW6TFbSSioZfOBZM7kNmO2Uwu/G6nfDwdZgWTpYf4YP66fOAQ7hYzEYGAzqEENalCDGtSgfr= JDcV+gobA178oSdgqJUD83/DwdKSptoLWrb7u2QgJJsqPZYOVKgQ4XVxUhPm442PXtuLJKICOhk= CRaeq0cuFDA28cLuVptQiHZgdS/UVzqQzrIsoxkMTMhVM1Td00lwM1BBD6DSPCfR8899xzd3d0D= PGAG9feVkJDAt99++3cbi/+7nnrqKezs7AgNDf1Rx7p48SJnz55l+PDhP3or+j+i8vJy3nnnHSZ= Pnvyj37+jo4N33nlHbF//pZWVlcU333xDTEzMj/a+MplMvP/++6SmpjJ+/HiuXr3KLbfcwldffU= VlZaVw8v6ldfvttzNr1qx/yq21oaGBffv24e/vP6Bh9dfUX//6V0pLS4mIiODjjz+mu7t7QPPo2= 2+/TWVlJTExMb/qOP+vasuWLVRVVREcHMxDDz3EzTff/GsP6UfpZ2BLSUiKvgDHATPXj/Lh4aWj= 8XOyImPpM+3DHklhh96gZNMn6bx8IIVUXRtGqwKTVaK2vYfPk3Ss2XaK//wih+IWsOKALKn63Yx= NWDCDVUZhNhGhlfnDHRMJ8XQAWYFClvqDpEH9s/r666/Ztm0b9fX1v/ZQfjOqqqpi48aNJCUlAZ= Cfn8+xY8f+7muOHDnC7t27fxKzKTY2lpUrV/5TfKX/LlmWefzxx6HfdPBPf/rTP/z+siyzZcsWA= JydnXn44YeFFcAvrdGjR7Nq1arv+X78LcmyzM6dOzEajTQ1NRETE8ODDz6IQqHgtddeY+fOnfT2= 9jJlyhTmz5//Lx//f9dzzz3Hl19++Te9XP5ReXt789BDD/3knSc/t65cucKOHTsoLy9HpVJxzz3= 3DGiwTklJ4c033xQGkoP6ZXX27Fn+9Kc/UVNTg6urK7t27fpRr//ggw8oLy//l43vH9HPwpayGf= spJAlQEOzrioe7itySOgxG+jaRSwqsSpkeq5qrlQbOplVwOqOSI0l6Po4r4eukSvTtErKdGqUEk= kLGSj96CkVfA7PVQoS3HQ/fMppp4b4opT7CeJ/hn7Uf1fDbkm3baX5+Pvb29jg6OpKUlERubq4w= UtPpdDQ3N5OVlUV9fb3wx/n2228pKSnByckJFxcXampquHz5MiUlJURERNDb20tmZqYwBXN1dSU= zM1MYoH3X8M5sNpObm4vFYqGhoYHo6GhGjRpFeno62dnZmEymAQwlk8nE1atXuXLlCgqFgo6ODh= ITEzEajej1egoLC3FychL8osuXLwvWD8CpU6coKSlBrVbj6uoqfGdszKnAwEBkWSYhIYGCggIkS= cLZ2ZnLly8L3wutVoudnR1ms5n09HQ6Ojro6OhAr9dTUVGBg4MDSUlJNDY24uXlJazsbVwsm/R6= Pfn5+YIlU1FRQXJyMj09PXh5eVFVVUVBQQEdHR0olUoSEhKEtf6VK1eIiIjAz88Pg8HAkCFDeOm= ll+jt7WXUqFGUlZWRnp5OY2OjGO/Vq1dRKBQUFBQwYcIEIiMjycnJITMzU2wVbW9vJzExEZVKRV= tb24DVdk1NjTBKS0pKEm6gdnZ2dHd3c+nSJUwmE56enpw5cwar1YrVaiUxMRG9Xo+npydms5kLF= y5Af0PwF198wZEjR4iJicHR0VE8r6Ojg0uXLlFYWEhJSQkWiwWTyURKSgqFhYU4ODiQnp7O9u3b= CQkJwd3dncrKSvHdl5aWotFoaGhoIDU1FS8vL0pKSsjIyKC8vJygoCB6e3tJTEwUfkq2z6rX68X= fPTw8OH36NGazWWSErFYrxcXFpKamClPBxsZGamtrcXNzo6uri7Nnz1JZWUlgYKBg5FRXV5OVlY= VGoxF2/a6urkRERAh/nXPnznHgwAEiIiL405/+RGdnpzCaS0lJIScnRxyzqamJCxcuCD6cm5sbp= aWlFBYWYrVacXBwGMB6S09PJysri46ODvz8/EhLS0OlUpGcnCxYZzb/k7lz57J3715WrlyJUqkk= LS2N3Nxcenp6BmzD7uzsJD8/n6qqKrKysnBzcxM8LV9fX4xGI6WlpTg7O9PU1ER6ejqyLAsERG1= trfCa0mq1xMXFYTKZxNb5S5cuUVFRgaen5wDzy8zMTMG+s3kwJScnI8synp6eGAwGzp07R3V1NS= 4uLmg0GoqLi6mvr8dgMODn58fEiRMpLS1FkiQ0Gg1FRUU0NTXR2tpKYGAgY8eOJT09nZycHLq7u= 4WRoE06nY6kpCSx/bi8vJyqqiocHBxISEigra1NbEVPTU2lrq4OPz8/kZW0sa0MBgP19fV4e3tT= UlJCSkoKNTU1AxAssixz9epV8T3b2dmh0WgoKSkR/Cc/Pz8yMjLIyckRv3FFRYXgX5WXlyNJEun= p6dTV1eHo6EhycjJqtVrw0lxcXHB0dCQ+Pp78/HycnJxobW0lMTGRrq4uNBoNly5dwmKx0NLSQk= pKCiUlJQQFBQ2Ya/n5+YJ/1tHRQW9vLwkJCXh4eODo6EhLSwvx8fFUVlYSGhoq7gOtra04OTnh5= eXF6NGjycrKIiAggJaWFhISEigsLMTFxQV7e3tKSkro6uoiKSlJLBLWrFlDZGQkvr6+1NTUCIbU= d7PUZrNZ+Bg1NTVRXV0tmIA2P6C/5x/2P+lnCW6EmbAEoMBOgqH+LgRpnSkob6Sl29znFihJSAo= lklJBt0Wmtr2X2jYT7UawKlVISrt+cKbcFzBJShRYUVjAYrUw1Eti3c2jmT0iCLWy33eHvpJVX1= Pybyu46e7u5tNPPyUjI4O8vDzOnDmDVqvl7bffxmQyiYvuiy++yJEjR5BlmU8//ZQhQ4YIY7XS0= lL0ej3jxo1j+/bt6HQ63n//fUaOHElBQQFHjx6lra2N/fv34+3tLYz5du3aNcCXID09nX379tHc= 3ExcXBwzZsygra2NQ4cOYTAYOHLkCKNGjRJBQWJiIp9++ikGg4Ft27YREhLCa6+9JqjhNTU1NDc= 3s27dOlpbWykvL+f48eOMHz+ew4cPk5mZSWlpKUeOHGH69OmsWrWKr776CoVCwdatW7nmmmuIj4= /nzJkzNDU1cfbsWQoKCvj973+Pn58fFotF+F5UVFSwe/dusrKyKCgowGw2s2vXLkaNGsVHH33Eg= QMHGD9+PCdPnqSwsJDDhw+LFKter+f+++/n0qVLwul4y5Yt9PT08OmnnzJ69Gj2799PRUUFBw4c= YMaMGbz66qsoFArMZjM33XQTt99+O+3t7VRXV+Pv78/XX38tYJMrVqzA1dWVQ4cOMWrUKKqrq9m= zZ4+4qFxzzTVIksTBgwdpbm7m4MGDaDQaysrKSEtLIz09nZKSErGq7ejoYN26dTQ0NFBZWcmqVa= tobW0lLS2NsrIyhg4dyvbt2wEYP348b731Fk5OTsTFxVFRUSHgjBUVFeTl5ZGcnCy4V+np6QQHB= 5OQkMAXX3zBokWL+Oqrr/jmm2+oqKjgxRdfZPbs2Zw9e1YEvTbo5qlTp/Dz86O+vp7XX3+dKVOm= kJyczAcffMDUqVNpb2/n888/x8fHh2PHjtHQ0MCJEydobm6mvb2dpKQkwSSaPXs29JtP/uUvf0G= hUDBu3DiefPJJYmJihM1+SUkJO3bsoKuri02bNjF37lx27txJeno6sbGxYpfHhQsXBPPspZdeoq= enh6NHjwpvktTUVJydnamrq+PDDz9k0qRJnDt3joSEBOGk/OCDDzJp0iRqa2vFvN+/fz/jxo3j8= OHDAs6ZlJTE2LFj2bRpEy0tLZw/f56RI0fi5tYH9U1KSuLTTz+lubmZ06dP09jYyBNPPEFubi4V= FRWkpKQwdepUAaUE2LFjBytXrhR8rZ6eHrZt28btt98usmvPPvssmzdvRqFQsH//fjIyMqiurmb= 37t0sXbqUffv28fHHHzNjxgx27txJXV2dCGBeeOEFjh07Rk9PDzt37qS8vJyCggIuX77M1KlTee= qpp9Dr9Zw9exY3NzeRlUtLS+O+++4jPT1dfC81NTXk5eVx4sQJZs+ezWuvvUZrayvp6eki4Hjjj= Tfo7OwkOTmZyMhIrFYrGzZsEP4yO3bsEIul4cOH4+rqyksvvUR3dzc7duxg1apV4rvR6/Vs3rwZ= o9HIxYsXKS4upqOjgwMHDjBy5Ejef/99jh07xqRJk/joo4+or6/n9OnTODk5CRRHZWUl+/fvp6i= oiM8++4ypU6fy3nvvUVtby4EDBwa4hX/xxRc88sgjtLS0iOuoi4sL69evp7Ozk87OTmRZ5syZMz= Q2NvLhhx+i0Wh46623OHDgABaLhYMHD5KZmYnBYGDDhg1ce+21bN68GQ8PD7H9OjQ0lLS0NE6cO= EFJSQlXr15Fq9Xy7rvvYjQaiYmJYc+ePbi6uvL1119TWFjIgQMHiIyMFAHEpUuXWLNmDUVFRZSX= l7Nt2za6u7v5+uuvsVqtjBs3jtdff53CwkLi4uJQKpViXhsMBoEC0ul0PP3006xZs4bDhw9z5Mg= RcnNzycnJwWw288gjj1BbW0t9fT2ff/45wcHBHD58mCFDhqBWqzl69Cg1NTUCM2MbX1tbG2+88Q= alpaXExcXh4ODA7t27GTlyJB9++CGfffYZK1as+Mn3158FnNknuZ8O1QeD0igkFowNwk6pZMuhT= EpbzH3AS9mMAjAr7JAUZqCvLi7JZhSyhCwrkSUFEjJKuc+BVrYaGTdEw/rbJjJuiAd2ij4kg2SV= kBV9QY61H+LwWwpvbE6V9957r8jQeHl58dprr7F27Vrq6+tRKpWEh4ejUql48skn2bt3L0lJSSx= fvpw1a9bwyiuv0NvbS2lpKc3NzWzdupX77rsPpVLJ9u3bOXLkCN7e3oKbk5mZybx583jxxRcHjO= XLL78kNjaWm266iXPnztHT08PJkyc5fPgwPj4+NDY2kpOTI3oOvv76az777DMCAgJITk7m2WefZ= cuWLTz11FPMnz+fdevWYTAY2LFjBzfccAMzZszgmWee4cKFC7zxxhukpKRgtVp57rnnSE5OZvz4= 8XR3d/PYY49x+fJlMjIyOHHiBKmpqbi4uGAymXjggQdwdnbm/vvvH0CgtbOzE6C8efPmoVKpuHj= xIh4eHlx//fXk5+djsVhITk5m+fLlLF68WLzWw8ODsWPHotVqeeKJJ9i9ezcHDhwgOjqawsJCFi= 9eTENDA3Z2djz22GOEhIQwc+ZMABYuXPi9nX5TpkwhNjaWiRMnEhERwVtvvUVqaiqXLl2is7OTt= 99+m1tvvZXrrruOc+fOiXFNnz6dG264gcLCQl599VWmTp3KqVOnePXVVwesHB0cHBg9ejSyLDN+= /Hg8PDxYunQp3d3d7Nu3j5iYGG655RY0Gg12dnbceOONuLm5sWnTJuhf4Y8cOZI5c+Zw9OhRNmz= YQExMDKWlpaSmpvLggw9y/PhxUQ6ora1lxowZTJgwgffff58FCxYwatQoUlNTee655xg9ejRr16= 4lPDycJ598ktzcXM6dOwcgXHZtBO9NmzbxzTffEB0dzW233YZer+fll19Go9Fw5swZ1q9fP6CcN= X78eFavXi24V/Pnzx8AfLQZjK1du1ZwaaKiotDr9dTW1vLqq68ydOhQ2tvbaWpqYt26daSmpnLf= ffdx7NgxSkpKWL58OZWVlTzxxBNkZGSI4P2JJ57g22+/5d5770WtVuPr60tvby9JSUksXryYa66= 5huLiYuEabetTe/bZZ9HpdJSVlWG1WnnyyScHZBqOHDnCoUOH8Pb2pqmpieHDh+Pl5cXcuXMZN2= 4cb7755t+0nZ8wYQIeHh5s2LCB8vJyurq6cHJygv5SZWZmJqtXr8ZoNNLV1cWaNWtITk7GYrEwY= sQIsrOzoR/XkpeXx9NPP42/vz8XL15EkiTuu+8+zpw5w7Rp04iJieH999+ns7OThx9+mLKyMh59= 9FHmzJkjxhMSEoKPjw9z5sxh5syZvPzyy8ybN4+RI0dy6623UlBQwMGDBwUle9SoUWRmZjJ58mT= +3//7fzQ1NaFQKAgODhYspQ8++ICJEydy9913U11djSRJBAcH89hjj7F7925SU1MHfCeffPIJQ4= cO5Y9//CMvvPACZrOZOXPmkJmZiVarZeHCheKauX//fjw8PKirqyMgIIAFCxZAfwbhypUrLF26l= KVLl5Kamsru3bsJDAyksrKSEydOMGPGDADGjh1LSEgId9xxB2PHjmXBggW0t7cTERHBypUriY6O= ZsuWLdxyyy2MHDmSb775huPHjxMWFkZAQABr1qwRGSsbn87Z2ZmRI0eiUCgYOXKkQKLYMsAODg4= YjUZ+//vf89BDD4ns0Ny5c7nuuusYPXo0e/bsobS0FJ1OJ76b8PBwIiIimDdvHjExMbz11lscOn= SI8PBwqqurqaqqYuvWrYSGhtLS0iJc6KdOncqtt95KSkoKSqWSyMhIkU295pprUKvVvP766zQ2N= nLHHXcQERHBokWLGDt2LEuWLGHSpEl4e3tz//33k5GRwQcffIC/vz8NDQ0cZybBRAAAIABJREFU= O3ZMzCGz2UxGRgZ33nknd911FxqNhsuXL+Pp6ckNN9wggL0/VT9Dz02frP9FhurbDSXZoZRg7qg= AHlk2kiB3K1arGWQJyeqAwmrX/z8lkgxWwIwCiyRhliSskgLZakJp7WLuKA9eWxXL1DAtKoWEkr= 7dUX2mfn3Hk+TfVmBDP5XYYDBgMpkEmyQrK4tZs2bx5z//menTp+Pq6oqvr69wnXV1dcVkMvHVV= 1+xZcsWVq1ahYeHB93d3TQ1NaFUKgXoTavV8uabb5KYmEhlZSVr1qxh//79VFZWsmzZsgF9NQaD= AUdHR4GZNxqNODg4sHPnTpKSkiguLmbRokXi+c7OzmzdupWEhATMZjOzZs1CrVYzffp0XnjhBer= q6vDx8cHZ2ZkhQ4agUqlQq9V0dXWRn5+PQqEQkD2TySROfluvhNFoxNXVlc8//5yUlBTS09O59d= ZbcXBwGBDY0A+yPHLkCN9++y1PPvnkgMdsJZlRo0Zx6NAhjh07xrJlywRPy9nZmbCwMJydnVEoF= CLASkhIECfv66+/TmxsLEuWLBEMJ9t7A4IT9d+lVCqZOXMmRqNReFg0Nzfj6OiISqUSF62mpibB= A/Px8UGWZZYtW8bZs2d54IEH2Lx5szimjSUDMHToUJycnAgODkahUNDb24skSQwfPpza2lpyc3P= x9vbGbDZz/fXXc+7cOXJzczlw4AAPPPAA58+f55VXXuE///M/xZjt7Ozw8/MTpQcbzXfy5Mki27= Ft2za+/fZb3nnnne99Zq1WK34fhULB8OHDSU1Npa2tDWdnZ1pbW2ltbRVlC5VKxdy5czl16hTbt= 2/nj3/8o/iskiQxYsQI6urq2Ldv34D5Rz+Z3MbwGTNmDC4uLvj7+wvQa2BgIKmpqZSWlnL48GGG= Dh2Kj48Pnp6eSJL0vd/N39//B5t2bW7VVquVxsZG4Q4bHh6OQqGgsbERWZZRq9Wo1WqsVquADy5= evHhA74HRaOQvf/kLycnJFBUV8fDDD+Ps7Ex0dDT29vbfY719V+fPn2f9+vXs27fve48NGzYMrV= aLu7u7mEeurq6ivPVdvtWWLVvYuHEjy5cvJz8/n6CgIOEMCxAdHY1CocDOzg5Zllm/fj1Hjhzhs= cceG+B87uXlhZubm2jetgWBtuf09vYyadIkLl26RF5eHp988glKpRJXV1fs7OxQq9Wi9KXVaqHf= zM7V1VW8n8lkoq6ujoceeohly5Z9r0m9paVF3HhVKtX3Fhu287+7u5u1a9eSkJCATqdj48aN4jl= hYWEcOnSIy5cvs2jRIoxGI/fffz/JycnU1tayYcMG8dyQkBDxuTUaDc7OzmLeaTQaZFmmublZsL= kCAwNRKpUiY+Hk5IRCoRDctu/2tX33umI2mwXaIysri6tXr+Lt7U1kZCT19fWcPHmSa6+9ltbWV= h5++GF8fX0FWdsmPz8/ce+wNdfbXJFt14sRI0aQmpqKTqfj4MGD9PT0iHPfhtPx8/MTn23//v0c= OXKERx55RMwBf39/EZzKsizOD/oDGFtmvKysjFdeeWXA/Dlx4gRpaWmsXLlywHdgsVjE9/BT9bN= lbvqmlFL8R1+5qC8Dc+2oYNzUDrx37AqZlSY6e80oZFs0Yu33r+knhFv7eFEqhYlQrcTCqdEsmR= GBv4sKqywLxKaM1F/Ckr5z/N+WbMC/Tz75hHHjxmEwGCgrK+POO+8kNzeXqqoqdDodJpOJxMREo= qKiiI+PZ8WKFezatYv58+dTU1NDeXk5Dg4OKJVKdu7cSVhYGC0tLYSHh/Ppp5/S1dVFe3s7HR0d= GI1GwZBpa2sTdfvIyEj27NmDxWIhIyNDWGTbuDsWiwWtViui7jFjxog0a1NTE35+fly4cIH77rs= POzs7rr/+evbt2ycu9P7+/siyzMKFC0lPT+fZZ58lNjaW6upqnnjiCf7whz/Q29vLlStXqK+vp7= m5mdDQUF599VXuvPNODAaDuGhcunRJrKTob07cu3cvN954I19++SVKpZLu7m6OHz9OTk4OZWVlb= Ny4EVdXV5YtW4bFYqG2thZ/f39ha+7s7Ex7ezvz5s1j7dq1BAYGCuvzDz/8kIULF3LTTTdRXFyM= k5MTFy9eFFC/t956i4kTJ1JYWEh1dTWyLJOSkoIkSYwZM4bw8HDi4+NJT0/nuuuuY/v27bS1tVF= UVMQ777zD2rVrOX36NJIk0dPTw4IFC9i7dy+enp5s2LCBpKQkuru7cXR0pLe3l9zcXCorK0lKSq= KtrY2MjAxqamqoq6ujsLCQ8PBw/vrXv9La2sr69eupqakRpbvAwEDBKbOtNquqqkSQ9e2331JbW= yt4SAkJCaxevZqwsDAMBoPASERFRZGZmUlDQwN1dXX09vZy9OhRnJycKC0tpaCggOHDhxMSEsJ7= 773H7373OxQKBePHj+ftt9/Gzc0NBwcHoqOjOXXqFCaTiVWrVpGcnExLS4vIoAQHB+Pk5MSZM2d= 44IEHBpw/EyZM4KWXXuLjjz/GZDIREREheh80Gg1Tp07lmWeeYdasWWRnZxMeHk5FRQW5ubnk5+= dTW1sr+E7Hjx/HycmJ4uJiKioqyM/Pp6GhgbS0NNGLUVpaysSJE/noo48wGo0YjUacnJyor69n1= 65deHp6EhoaSmhoKLGxsWzcuJFZs2YNCKLmzZvHjh07sLe3p7m5GZVKRUtLC0lJSYSFhaHX68nL= yxONvwUFBXR3dwvMxJw5c0hOTkaSJPLz80UfXFJSEtXV1YLBZusNamho4OLFi9jZ2VFWVkZlZSU= rVqzg8ccf53e/+53oN7O3tycjI4Pm5mbOnz9PQEAAxcXFZGVlkZmZySOPPMLx48dRqVR0dXXh6O= hIZWUljY2NJCQkMGrUKCoqKigoKBBMMXt7e5RKJc8//zzjx4/HaDQybtw4Xn75ZVQqFenp6eh0O= qZMmUJRURERERHExsayefNmlEolV65c4dixY3h4eDBlyhS6urpEf5atTBsbG8vTTz9NcHCw6C+y= 4TyOHz9OcnIyhYWF9Pb2EhcXR0hICD09Pbi4uIhg+erVq+zdu5clS5Zw9epVQkJCOHz4MB988AG= BgYG0tLRw9913i9+wqalJ3JR7enoICwvjk08+oaCgQABGv/jiCxoaGqioqGDhwoXExcXR0dFBcX= GxYAKeP3+etrY28vPzcXV15cKFC5hMJi5fvoxKpWLVqlU89thjorS0atUqPD09Bc5j9uzZdHZ24= u7ujouLC/X19RQWFtLW1oabmxtlZWXodDoKCwvR6/VYrVbi4+NF38+KFSsIDw9n48aNTJ48mStX= ruDr68vnn3+O2WwmISFB9Fk1NDSIc3PMmDGCG3bx4kVKS0vJz8/HarXS3NxMRUUFKpWKc+fO4eP= jQ35+PgcOHMDV1ZXe3l4RhNXX1/Pkk09y6623kp2dLXoGjx8/LjhyFy9eHJAt/DH6WXpu+G5w8Q= NRhhKZYK0zk2P88HJVYjJ209PZhclswWy1YLFakGULKox4qCwM93fkpsmB3LdgONeNCcZDY4ckS= yIgkiRFf2DzQwP47cjGlqqtraW6upqQkBDmzZsnbhiRkZH4+Pig1+txcHDAbDYzc+ZMpk2bRnh4= OKWlpTg5OQlG0rRp0yguLqaxsZElS5YwevRolEolOp0OlUrFzTffLBoLx40bJ8orADExMZhMJvR= 6PcuWLWP58uXMmzdPXBSVSiXXX3+9aFYLCQnB2dlZjGHSpEm0tLQwYcIE6uvrGTFiBF5eXsTFxT= F58mSam5uZN28eI0aMYOHChWRlZdHY2MiKFStwd3cnPz9/wCrHz8+Pm2++GavVil6vR6vV4uPjQ= 0REBBaLhVGjRomxK5VKOjs7qa+v55577mHIkCG4uLhQWVnJ6NGjue6661i2bBltbW3odDrmzZvH= 2LFjoX/lV1lZSUhICGFhYYSEhBATE0NhYSEKhYKbb74ZBwcH9Ho9UVFRXHvttQQEBFBbW4uTkxP= Tpk3jwQcfpL29HY1GQ0hICP7+/tTX1zNlyhRUKpVIW9vb2/Pggw9iMBhob29n5syZPPLII0ybNk= 005jk6OrJ8+XI8PT0pKCigra2NpUuXipud7fez3fyjoqLQaDQ4OjoSEhKCp6cnQ4cOFav48PBwX= FxcGD16NIWFhbS3tzN+/HhGjhxJdXU1BoOB+fPnEx0djSzL4sLo6uqKj48PDQ0N1NfX09bWRmNj= Ix0dHUyYMIHy8nKcnZ2JiIggJCSEwMBAdDodHh4eqNVqtFotw4YNw8nJSWRWnJ2dRYaguLiYrq4= u/uM//kP0u9TW1jJ//nxB/rapvb2dmJgYka63SavViubP7u5uFi9eTFVVFRqNhoiICJYsWUJRUR= GNjY3iRm4Dg0qSRGRkJOHh4bi5uaHX6wV5PTg4mOzsbEaOHCmyAbaMz4IFC5AkSZxT8+fPJzY2l= vT0dHp6erjmmmsICQlBq9VSUlLChAkTmDhxolihR0ZG4uTkRFFRES4uLmJ1zXcyIR4eHsKGIT8/= n9DQUCRJYt68eQJ0O3/+fBwdHUXfSFJSEqGhoTg7O+Pk5CQa8kNCQrBYLDg5OeHk5ERISAjTpk0= jOzub4OBgRo8eTWdnp8j+hYaG0tvbKxpOo6KimD17tmCWubq6Mnr0aNRqNXq9Xqzovb29BburtL= RUBPW33XYbRUVFtLa2MmnSJBYtWoSdnR1NTU2ipGmjgwcEBHDzzTeLwG/s2LH8x3/8B1OnThWQ2= OnTpwMwYsQIMf89PDxEj1pgYCDXXXedCL7Gjx/P9ddfzz333ENISAg5OTnQHxTZ+qDUajUdHR3o= dDruvPNOZs2aJRhNtrlj64GyWq0cOXIELy8vent7ef755zEYDIIAPmzYMKKjo+no6KCsrIwxY8Y= watQo2tracHBwwNvbG1mW8ff3p6WlhREjRuDh4cHMmTMFKPjGG29kyZIlLF68mI6ODqqqqhgzZg= wRERE4ODiI88vG3rO3t6e8vJxhw4bh7u5OREQETk5OojTq4+OD0WgUTD8XFxeRLZw3b544R+6++= 27Gjh2LxWKhsrKSJUuWcPPNN6NWq/H29sbe3p4pU6ag0+lwcXEhMjISs9mMv78/np6e1NXVERMT= Q1BQEKNHj6ahoYExY8Ywbtw4ioqK6OzsZMGCBSJDqFQq6erqoqKigpUrVxIREYGzs7O4bi9YsGA= AafzH6sexpX6C+ujhfXUnWZLola3Ut/VQVN9OXmU7peU1dPaYcdaoiRriQ2SAM2HeLvi4aVDZKV= BAn1cOErLcx/2W/o8BpDZv3oyjo6NIBf6WNGfOHHbt2sXQoUN/7aEM6ifoxhtv5KOPPsLT05Oqq= irOnTvH8uXLf9ExfPbZZ8yYMeMn04EH9X9DL7/8MgDPPPPMv+wYZrOZ1atXs379+kH/nf/l+hkb= in9YEtZ+N2MlEuAgKRni6UiwpxPXDvMHBvphyPT13/Q1J8sg920jlwGFJP+fM7OJj49n7969tLW= 1MXnyZKZNm/ZrD+kf1rvvvkt+fj4TJkygpaXl1x7OoH6CrrnmGrE7KSwsjCtXrvxix05LS2Pu3L= k899xzLF269Bc77qB+e7p8+TIHDx6krKyMKVOmMG/evH/JcdavX8+hQ4dwc3PjpZde+qeMFQf1r= 9W/PHPT11PT7yDcf6i+LeNSfxijGFBRsvb/WwEgW/vDnf+qQYn3GtSgBjWoQQ1qUIP6Af0CZan/= aoeR+/MykiyB3L9RS7IZ9Qlslfj7f73W2v/Pvtf8bFu8BjWoQQ1qUIMa1L+d/uVxQh/osv//9xO= pZEmBVSEjK/qyOP35nP5dU3L/i6zfyc8o+jALyCj+zepS6enpA7bi/m9RUVGR8O4AyMvL495770= Wv1/8ixy8sLOTNN9+kubl5wN83btxIXFzcLzIGm9asWUNVVdWAv3322WccPHjwb27b/VeqpaWFD= Rs2UFNT8y95/6SkJN55553/cRvmnj172Lp16999jg1N8V3/je/qXH4rr5/Q022y/uDj/6zSyzvI= q+7blptQ0s7l4vbvPefU1Rb+3wcF//Rx1n74P/tybDlZyfvna+gxWdnwpY6LhW0/+LyOHgsbDut= ILPn+eP+7lr+bx9m81p807kEN6t9W8q8k66914N+YTpw4IaekpPzaw5CPHj0qNzc3/yLHMhqN8p= o1a+SlS5fK9fX1v8gx/xGdPHlSjo+P/1XHYDab5Z07d8qBgYGyTqf71caRm5srOzs7y0888cTff= I7VapXfeOMNecSIEXJ+fv73Hjd0m+WhTyTKj39SLHcazeLv+TVd8pOflciyLMtxeS3y8aymnzRG= q1WWz+a1yBnlBlmWZXnTV7/e9yXLspxQ3CYPXZ8ob/qq/Ee9rstokR/YU/CDj712tEJ2efCCfDi= t4Wca5aAG9e+hn20r+I/VYNdMn6qrq6msrMTLy4u8vDzq6upITU2lsbEROzs7nnvuOZqamggNDc= VkMnHmzBlycnKEUVtmZiZXrlyhubmZpKQkse3z6NGjKJVKOjo6OH/+PCUlJQQEBNDU1ERJSYnw8= HB3d8fJyYmsrCwuXLhAZ2ensNEvKSnBz8+PpqYmkpKSqK2txcPDAxcXFzFWm8fKd110AXJzczl/= /jytra0EBwdTX1/P8ePHyc3NxdfXF7PZTFFRkeBhSZJESUkJiYmJjBo1iuDgYBoaGrBYLOTl5aF= Wq/Hw8ODixYs4Oztjb29PamoqCQkJlJaWCv+K06dPC0aRzdDMarVSUFBAZWUlycnJlJWVERwcjM= Vi4dixY2RnZ9PZ2Ymvry+tra3Clt627dLGNHruueewWCwEBATQ0NAgtp+fPXtWOIkePXoUe3t7O= jo6iI+PJycnB1dXV1xdXUlMTOTq1as4OjpiZ2cnjLV6e3tJTU0lMTERs9mMVqslLS0NpVLJiRMn= aGlpwd/fX5hvhYaGotPpmD17NhqNhrNnz5KRkSG2fX5XX375JR0dHYJblp2dzYULF6iurhZmgLm= 5ucTHx1NeXk5kZCRVVVXU1tbi6elJS0sLR48epaysjIiICKxWKzk5OeTn5xMREYHJZCI2Npbz58= 8LhlZISAjd3d0cOXIE+neYxMbGfs+ATWWnIMxbQ2FdN7IMhbV9WcL342vI1HeitlfwcWI9FU1Gg= j3VlDX2UNFsJL3cQGOHiSFaNeVNPSSVttPWZcbBTkFpQw9ljT34ualo7jSTXt7B9Ag3GtpN6Bp7= mDzUlXSdgcQSA/pmI35uKipbesmv7SLY04GKJiPxhW1creoiwENFU4eJorpuypuMZOo70KiUuGn= sSChpJ6WsbxzeLiqqWowU1nYT6OFAWv/7lzf14KpR4uSg5HJxOy1dZlo6zXi7qJge6UpqWQcqOw= VODkq+SGskr6aLvJouGjtM+Ls5kKbroN5g4qnPS6lu7SUmwJG2bguXitoorOtGY6/kxjGeHE5vZ= GaUG8P8/wvZ0NFj4WROC1erurDKMlpne7Ir+97/SkUHansFuVWdpOo6yKvpoqK5By9ne9T2g0X/= Qf176FcLbgbV51a7efNmMjMzcXV1Zc2aNRQWFmI0Gtm0aRN33HEHhw4dwsnJiZiYGA4fPkxdXR0= XL16kpqaGzz77jMOHD+Pl5YVGo+HLL78UzJSDBw/i7OxMXFwcBoOB1NRUrly5wunTp/nLX/6CRq= Ph9OnTuLu7YzQaee+99zCZTHz00UcsWrSIe++9F51Oxw033MDTTz+Nu7u74PR4eHiwZs0asrOzM= ZvNPP/88zz66KPic5WUlLBt2zYUCgXvvvsuCxcu5MsvvyQxMZHc3Fzq6+vJzs7mhRdeoLe3l6Ki= Ivbs2YOdnR1vvvkm06ZNQ5IkPv30UxQKBXq9npMnTwKwdu1aZs+eTVNTkwg64uLihDeQTqcjNTW= V/Px8YmNjod8s6s477yQrKwt3d3c+/PBDfH19hQNpc3Mz33zzDUOGDOHAgQN0dXVx7Ngx/P39+f= DDD9m6dStz5szh1KlTuLu74+bmxoYNG3B3d8fDw4O9e/ei0WgIDw/nwIED+Pv7k5aWRl1dHV1dX= Xz88ccEBQVx+vRpWlpaOHLkCBMmTMDV1RVZlomPjxfB6Ntvv41KpeLhhx8mNzcXtVrN119/Ldyq= 6Xfm/fbbb5k9ezYlJSW89dZbgjt2++23i9/hwoULxMXFkZaWRm9vL05OTuzfvx9Jkjh58iQdHR1= otVq2b9+OUqlk8+bNjBs3jrfeeovS0lJmzpzJq6++SktLC5cuXRJGgu+++y5KpZJTp04JV+mDBw= /i6OjIZ599xsyZM3nzzTeFQd7Vq1e58cYbvxfcABTUdvNRQh2B7g68e74GZwcl1W29VLf0EuqlJ= r+mC5CobDHyyjcV5FV3YbLIbP+2ilFBzpy+2kJKmYH3z9cwLcINo8lKe7eFUC81BbVdtHWZmRDq= wpaTldw+2YfShh4+uFCL2k7Be+drkIG/xtdyrqCNa4d78NaZKpo7TZzMaSFb38nZ/Fa2f1tFp9H= CpaJ2LFYZQ4+Fv5yqxF6p4NPkBgLcVTz1eRk5lZ1MGurK+k9L8XdX8WV6I2p7BTVtveyMq8ZeKR= Ff0MYwf0d0jT1sPlrB6GAnUnV947dTSuy5WEukr4aMig7+87ieAHcVOVVdtHdbiPR15OOEemQgL= q+VBoOJGZFuvH++5nvBzbvnaiiq66bBYOLNM1X4uKp47ONicqu78HFRIQNvn63GWa3kz8f0WGSY= GeWGk4PyX3rNG9Sgfin9y7eCD+pvy2auptPpiIqKYvLkycTGxjJt2jRee+01nJ2dGTNmDHPnziU= qKooFCxag1Wrp+v/snXd4VGXe/j/TJzPpvTeSkEBIQk0gUqXILi2ASJPOwvraQFdRBFddCwsrri= iiKCgBVJCOggKhhRYSekkgjfReJslk+vn9keRoFnR1xd1931/u65rrSuY853me0575nm+5b72e7= OxsFi5ciJOTE/Pnz0er1WK1WrFarTg7O/PAAw+g0WjYtGkTVquVpqYmevfuzbBhw6iurmbOnDms= X7+ewsJC0tPT6d+/PxMmTKC4uBh7e3tGjRrFjRs3yMjIoLGxkf/5n/+hubmZP/7xj8jlcuLj44m= Li2Po0KG89tprVFRUiF6DgwcP0r17d+bOncuECRNwdHRk3LhxaDQaXn/9dezt7XnkkUfo2bMn06= ZNo7i4mKtXr7Jw4UJyc3NFVfPg4GBmz56Ng4MDy5Ytw9HRER8fHywWC9evX6dbt26MGjWK3Nxc1= qxZg1KpZPPmzaxYsUIk+Wo7zwkJCYSHh7Nw4UJ8fX3ZvHkzHh4evPzyyzg6OrJ161auXr2KIAjs= 27eP1157jejoaLy9vfniiy/o2rUr4eHhjBs3jr59+3L8+HFo1ZqZPHkyOp0OT09P+vXrJ5LSPf3= 006jVat566y1u3brFsWPHSExM5NlnnxWJ26xWKykpKXz66ae4ublRXFzMhAkTiIyMZPLkySQmJv= LUU09RXV19T56XqKgonnzySVauXCkSlLVBEAQOHTrESy+9xKBBg1i7di09evRg/PjxZGVlMXv2b= JH076mnnmLs2LG4uroSFxdHTU0NxcXFrF69Gl9fXxoaGqisrKSxsZGoqCgWLFhARUUFZrOZnj17= EhcXR//+/dFoNKKHKjk5mby8vHbyA/dCXKA98wf6cDpHh8kq0D3QHqtNYMEgX+r0FrydlIzt7k5= GfgPDo12YO8CHwhoj+y9VoTNYqdCZeW96ONH+2naeh7TcBgZ2bvHeNRpaDJ5vr5WQGO7E1HhPxv= ZwRy6TUNVgJj2/gbJ6E1vOlKNWSGkwWCmvNzHzAW8qdGaWjgrivcPFVOjMZJZW82CUC38Y5ENZv= QkHtYzBkc5cL27Cw0HBmulhfJpaxtlcHUO6OLMro4qhXVyY9YAX+VUtulH9I5zYe7EagOvFTfi7= qnmkjyfpeQ30j3DGaLFx4EoNEd4auvkbKK03Ma6HO33DHNl+vpKTt+rwdVb+yBmFzWfKOfZ8HDI= pFNcaOZfTQLcAe4Z1cWZqghdXi5pQyCRMjvdk36VqQtzVeDgofsaq1YEO/O9Ahw/yPwiFQoGbmx= tyuRxHR0c8PDzE/wVBaJfQKQgCvXv35syZMxQXF3Po0CE8PT3RarXIZDJRYK62tpZjx44RGxuLI= AiMHz+e8+fPU1BQwNatWwkICMDFxUUM2VitViwWCxUVFcjlclFivi1kYTKZKCoqwmKxoFarUalU= aLVaPDw8RG0gWkMPbTCbzVRXV4tzAli9ejXnz58XiQhdXV1xd3cX52FnZydqzrTBwcEBOzs7UY+= mTR9HEARRDFEQBBwdHZHJZDz44IOcOnWKd955hxdeeEHUflIoFKLOlUQiwc7ODqvVKnpWpFKpyF= fxxz/+kXXr1vH4449z+PDhe5IPtjGEtiE4OJjy8nL27dvHhAkTsNlsVFdXYzQakUgkIuvsnj176= Nq1K9OmTePWrVvi/s7OzqxevVqkrU9KSsLJyUm8Bm36OPdCeno6S5YsYc6cOXd5Rnr16sWBAwfY= vXs37733Hg0NDWJidBtLaHNzs8hBFBoaikqlEu9Bm80mCi6Wlpby+eefYzAYkMla3u61Wi1Go5H= vvvtOZL2Njo7GZDKJmkZtobQ2rZ17wVkjRyFvCVRbfyRB28NBgb1ajlYlQ6OUopRL0KhkvPVwKE= k93Rn77jX2XaoW25utAjVNZrr6aUi5WUef0Bavl02A3IpmrDYBX2clrho5rlo5bZJECZ0c+e7ZW= IpX9+XbZ2Jw08px0shwd5C31HoKYLMJlNabUMgkeDoqcFDL8Gk1NIprTUx8/zomi8CjfVsMWIPZ= hlwqQSaVoJBJaDRa8XJSola2nKNnHwrg9O16Rqy6Qt8wR3ydlXg7Ku8KEVU3mXl8821yKppZPDz= gR88nQL3eyp1qgxj2UsgluGrlONq1HKuPsxKFTEr8qxdQK6SlQ+BPAAAgAElEQVQsHuH/k/11oA= P/29ARlvoPoqmpiYMHD3Lx4kVCQkLYvXu3SD+9b98+EhMTKS0tFanhy8rKyMjIoLKykgMHDlBRU= cHly5dFKnGtVsu+fftoaGhg+PDhKBQKtm/fLuqXXLx4kezsbC5dukR0dDS7du2isrKSiRMn8s47= 76DVajl+/Dh+fn589dVXZGdnM2bMGFJSUigsLOTOnTvY2dnRtWtXtm7dikqloqqqil27dtGnTx/= RW+Li4sK6detEHRgXFxeOHz9OUFAQRUVF3Lx5E5vNRkZGBiEhIRw7dowrV64QHBzMt99+i9FoJC= 4ujszMTDEnR6FQEBkZSXJyMk5OTsTExLBv3z7q6upEavhr166Rnp5O165dEQSBnj17ikKGbUrje= r2eY8eOMWfOHIxGI19//TU6nY6ioiISExP585//jFQqxd3dXVRq37FjBwMGDCArK4vy8nIEQeDI= kSNUVlYycuRI1Go1p0+fRqfT0bdvX6RSKadOneLOnTvk5+djNBrx9vYWVYnt7OyIiIjA19cXiUR= CQ0MDO3bsoK6ujrNnz1JaWsrhw4ext7fHYrGwe/duOnXqREREBFKplJs3b7Jt2za8vb0pKyvDZr= OJuTd9+vQRpRo+/vhj0tPTRVr/QYMGsW7dOpRKJVevXmX48OF0796dL7/8kqqqKnJycsjLyyMrK= 4urV68ycuRIsrKySE1NpaamhiNHjhAWFsaePXtoaGjg4MGDFBUV0dzcTExMDNXV1Zw6dYrQ0FAy= MzPJzs4mNzeXgwcP4ubmhlQqpaSkRPRAma0Cn58t53qJniA3NbsyqlArZKiVUq4WNqFVyTCYBa4= UNuLuoOB4Vh1VDWaMFoFD12t57EFfVh0oRKuSYbEJdPHTYLNBTqWB83kNuDso6Oqr5eC1Gib08k= All2K1CXyZVolNgEsFjVwtbiKzVM+NEj39why5WtxEca2RsnozW86WozfZuFjQSBdfLbsvVFHfb= GFAZ2c+PFqCp6OS/Zdr0CplfH2lhvwqA65aBXlVBoZHu3A2p4Fmk42u/lo+Ol6KSiHl68s1ZJbq= iQu0Z9eFKvycVXxzpYZANzVzB/jgZq/ABuRVGdh7sRp/VxUNBitXCpuQSSXkVBgY0NmJK4WNlNa= bcNbI2X2hCjcHBZ4OCq4V6/F3VVFQbeBsTgONBis3SpqYHO/JrowqrDYYEOFEUY2R9PwGFg72pX= ugPaX1JkI97P6j62EHOnA/0WHc/AdhNBppamoSvSCOjo6itsvQoUNxdXUlPj4eg8GAp6cnI0eOp= L6+Hr1ez+9//3tR1yMiIgJHR0dRNTwwMBA/Pz9RB6akpASbzUZcXBwajYaAgAA8PT3Fv3/3u98R= Hh4uCs+1aQdFR0cTGRnJuHHjKCgoQCKRMHbsWNFLExISgtVq5cEHH8TJyUnU/nF3dycoKIiKigo= cHBwYMmQInp6e1NbW4u/vL2qkhIeH4+vri8lkok+fPsjlckJCQnB3dyc+Ph4vLy9KS0uxt7dn7t= y5VFVV4evri6OjI0OHDsXd3Z2qqiqUSiXTp0/H2dmZxsZGTCYTw4YNE5Oc24wbiUSCo6MjcXFxP= Pjgg/Ts2ZO6ujr0ej1xcXH07t0bHx8f6uvr8fDwYPDgwWRnZ9O7d298fX3p3r07zc3NqFQqvL29= cXd3p0ePHqjVarRaLYGBgfj6+uLg4EBoaCgVFRU0NzczevRo/Pz8sLOzo6ysjC5dutCvX792Hjd= XV1dqamqws7MjMTERrVYrJiL7+fkRFBSEv78/MpmMmpoaMd9n8ODB1NfXo9FoiI+PF+8hWj0rEo= kEq9XK8OHDiY2NJSIigoKCAvz9/Rk5ciROTk4EBARQVVWF0Whk2LBhmEwm3N3dCQ8PF7XOjEYjE= ydOJCoqCmdnZ+rq6hg2bBhjxozhoYcewmAw0NTURM+ePenUqROjRo2ipqYGJycnxowZw6hRoygp= KcFsNn9/XQQorTcR5mmHk0ZOqIcdnX3s6Oqnxc9FhdUmMCTKGZNFwF4tJyO/AU9HBU52cqYmeBI= bYI9WJcNsFQhxVzOtrxeFtUaajFZctHJ6hTigUcpQyaV4OyuRSSX4u6rwcFBQ3WhGpZDRzV+LRi= Wji6+GTp52PNjFBV2zFb3JygMRTtirZYS62+GikeOskRPhZceIbq5E+miobbLg56Kik6cdBpONH= sEOdPPXEuKuRmewEumjIdBVzeR4TxzUMpRyKfGhDswb4IPBYiPARUWge0tSdISXHUaLDaPFxuls= HWGedgS4qgh0U9M90B5XrRxvJyXdA+1pMloJ9bSjs7cGiQR6BDvg46zEWdNyXJ081SSGO6EzWGk= 2WXkk3pNANxWCAF5OSqL9tTQYrVy804iTnRyjxUbGnUYivDQ4aToyFTrwfwP/BobiDnTgPwuz2c= yqVasICgpi6tSp/+npdKAVjQYr8a9d+NntS+tMaFUyHO3+byW91jRZcNV+b1RUN1pws/9tjQyzV= cBotmGvbjmXwe5qdj7eFVVHtVQH/o/g1xs3goDV1kK8J5VYW8Ut5dQajHybloG/fyhens742CnQ= SK1YpHJkSFH8UFJBEFrJ0CRUV9dw9eo1SopLWtUaBARs+Ph4MXjwEGpqapBIpLi4OCOXty1ywk8= UlwuizEP7tu3bt8zBislkpUHXiE2w4ubmjkzWsp+ko3b9fy3y8/N54IEH8PDw4PDhw+3yZTrwvw= Nvf1vEmsPFRPlqWPVIJ7r4an7GXv878O6hYlZ/VwSAn4uKL/8YhZ+L6jcdM7NUz8Pv36DRaAVgx= aRQJvX2+E3H7EAH/p24D54bAatgQyJIESRgFawIEikVDXoef/NDqpsd8PHyJj7Kh8RuXnQL9kGF= HLlUIhoMbVPIzy/gw3Ufk5ubg8lkFvu32azExcXyzLOLWbZsOfb29ixe/PQ/JFD+FMOp0GrcSFr= /vpeBIyAINm7dyubDDz+isbGRVav+ioODY4uiVTvrpsPS6UAHOtCBDnTgvxW/2vepN1m4U6vDz8= URtVIOSLEJEmwSCTLUNBuVZBYbuFVym1NXr7Dm6cl427cvOZRIJBgMRpKTt5CVlYVarSI8PKjVe= BGw2WwEhwQhk8kICwtDo7ETCdB+0Iv4lyDcyxj5GQZJayVNp06dMBiaW3MiuOe+d4/RgQ50oAMd= 6EAH/hvwqwOsRVUNPLX2O/704bd8fOAilbVNqCQSBMAktccis0Mik2JBRk2dAcFsazEY/sEuyMn= J4drVa8jlcrrFRPP0oid4/ImFPP7EH3nyqf8hKWksMpmM4OAgAgICkMsVCALU1dWRmnqavXv3s3= v3Pr755lsKCgo5eTKVnTv3sHv3Xnbv3sfevV9z/fpNrFZba7hLQl5ePt99d4g9u/exe/deUo4cR= QIEB4cSGtoJkHLx4uXWPvaya9de9u8/QGZm1n3RFMrIyKB79+6EhoYyf/78X93fT0Gv17NmzRpO= nz79m47zc2C1Wlm+fDknT56kvLy8HSfNz8F7773HBx988JvNrw1btmxh3bp1P9kmIyOD0NDQdp9= BgwaRkZEhttHpdDzzzDNcvHgRs9nMkiVLyMnJ+cXzGTZs2F0aV21YsWIFhw4duuv76upqpkyZQm= hoKFOnTuXGjRukpqaSkZHBH/7wh188h3/E+PHjqa+/tz4SwPnz54mLi2t3foYOHSpy39TV1bFs2= TJyc3PvuX9NTQ1LliyhqKjon87llVde4cSJE/fcNm7cOB5++OG7rtXrr7/erl1qairLly/HYrFw= 8OBBVq1a9U/H/Uekpqb+6LktLCxk2rRpP7rv1atXGT9+/C8e89fi0qVLLFu2DIPBcM/t586d47X= XXsNoNN73sY1GI2vXruXYsWP3pb+amhpeeeWVds/g/cLy5cv55ptvflbbtWvXEhoaSp8+fdi+fT= tbt24Vt7300ku8+eab931+P8TFixfvut8feOAB0tLSftNx22Cz2di0aRObN2/+t4x3F36tfsONw= lqh22PbhOiFXwidZ78nvLPtO8EsCEKerkn4/dJPhejHvxS6PLlLiHxih9B/8YfCnZoGwXIPbalD= 36UIY0ZPEKZPmy18++13gtVqFWw2q2CzWQRBsAqCIAh1dXXCzJmzhccff1IoLy8XSkrKhOeeWyq= MGztRGDd2opA0bqIwfdpM4fCho8KLLywTRo9OEpKSJgpJSROFsWMmCJMfmS6kpBwTzGaz8PXXB4= Qpk6cLY8eMF5LGTRLGjR0vPPHEU8KJE6eEuXMWCA9PnCJUVlQLH6z9SBg3bqKQlPSwkDRuojB27= Hhh6tRpQmrqqV976gRBEIQ9e/YIr7766n3p61+FwWAQXnzxxX/beDt37hQ6d+4sfPvtt+J3NptN= 2Lx5s5CXl/eT+169elXw9PQU3njjjd90jpcvXxbi4+OF11577Z+2PXnypPDEE08Ier1eEARBuHj= xopCeni5uP378uKDVaoXTp0+32y8rK0tYvXr1r55ramqqEBERIXz11Vftvm9qahIiIyOFjRs3iv= Pq1q2bcPDgwV895i/Brl27xHtcr9cLzz77rBAYGCjU19f/on5KS0uFjz766J7bkpOThcDAwLuOr= by8XJg4caJw+fJlobKyUli6dKlw8eJFQRAEoaSkRPjmm2/EtrW1tcIf/vAHYezYsYLJZBK/t1gs= wowZM37RXO8FvV4vLFq0SAgJCbnn9qamJmHhwoU/uv1+48SJE8LRo0cFm+2/V+lPr9cLS5Ys+UX= 7bNu2TYiMjBROnbo/a3Qbdu/eLTg5OQlffvnlT7azWCzCSy+9JIwfP14QBEGoqakR5s+fLzzzzD= OCIAhCYWGhkJ6e3u4e+62Qnp4uzJ8/X2hqahKE1nXt7Nmz/3J/FRUVwo4dO4Tq6n9N7+3fiV8dl= hKQYJWpkWNCotRgECQYASst3hlBUGBDiQQTUlpUwL932tjEkJHRaEQqlSJXKHByckYikd6V6yKR= SFAoFMjlciQSCbt27uZW1i06d+5Mz149UCoUyBVygoODkcnkqJRKevbsQXhEOBnpF8jKukV6+gU= 8PT3ZuXMPFouVmNgYunbpilwhxcnJEXt7DQqFAqVKjkwuJaFvPD6+XoAEwWbjdnY2GekX+Hzrly= Qm9vu1p+9HYTab2bJlCwCJiYmEh4eL25qamti5cydeXl64uLgQGBjIgQMHcHR05IEHHuDkyZM0N= zeTkJCA0WjkwoULjBo1ivz8fPz9/dFoNOzevZvQ0FC8vLz4/PPP2bt3Lw8++CABAQGcO3cOgN69= e9O5c2dxXJPJREpKCmVlZURFRREfH09qairl5eX06tULNzc3kQzParWSkZHBjRs38PPzY9iwYTQ= 2NnLkyBFqa2sZMmQItL5lnThxgrCwMD766CNu377NzJkzaWho4MKFlkqaWbNmYbFYOHPmDDk5Oc= yZMwdaPSLffvstTU1NhIaGMmDAAHGuDQ0NXL9+HZvNxu3bt4mOjqZnz54UFBSQkpKCQqFg4MCB+= Pv7c+bMGWpra7FYLIwcORKFQkFMTAyzZs2irq4Os9lMRkYGmZmZ4nx+DA0NDTg5ORESEgLAjh07= aGhoEI/XarVy/PhxfHx8ePPNN7FYLJw+fZqQkBBOnDiBwWAgLi6O2NhYTp8+jc1mE89veno6EyZ= MoLS0lJMnT6LX6+nbty+JiYmMGzdOJNdrw/r16wkKChLnGxcXx549e6isrKSgoICSkhISEhIoLS= 3l1KlTNDY2MmbMGAwGAxUVFRgMBvLz8+nXrx+BgYGcO3eOmzdvEhgYSN++fbFYLKSmpjJy5EjS0= 9O5du0aDg4O9O/f/y6NqzbY2dnx8ssvc+vWLd58802WLVsmaqWp1WpSUlIoKSmBVrLE0aNHc+3a= NXx8fHj77bfJzMykR48euLm5cezYMRQKBQ888ADTp0+/643UYrFw4MABxo0bR9euXUWywja08RT= RKtHxzTfftK4dLecxOzsbnU5HVlYWmzdvZty4cQwaNIirV6+Sm5uLs7MzgwYNQqlUsm3bNpFk0t= XVlfr6enr27ElaWhq3bt1CLpczYcIEHn/8cS5dunTXeTEYDGzbto2YmBjS09MB2l3nhx9+GK1WK= 7a/c+cOt2/fRq/XU1NTw6xZs8jNzSU/P5/i4mISEhKwWCycO3cOe3t7Jk6cSHZ2NpcvXxYJPt9/= /300Go1I6llVVUXPnj3Jy8sTGbgBRo4cSVNTEzqdjri4OHJzczlx4gRKpVJkTW9DTU0NR48eRaF= Q4O/vj4eHB0eOHMHZ2Zn+/fvj5ubGwYMHKSsrg1a6gqSkJK5evYqvry9yuZyDBw/SpUsXVCoVmz= ZtIjU1laNHj6JWq7FarRQWFtK9e3dyc3OpqKjA19eX4cOH09zczK5du2hsbBTXgsrKSr7++msAc= X37IXbt2kV9fT0xMTH06NGDQ4cO4efnx82bN/Hx8aFfv+/X+LFjx4pet8bGRg4fPkxdXR3+/v4M= HTpUbJeTk8O1a9dEz4yLiwtvv/02hw4dwmw2c/HiRYqKimhsbKR///7cuHEDm81GZmYmEomEPn3= 6kJqaSo8ePYiKiuLWrVuix3306NFYLBZyc3PJzs4mJCQEe3t78Z6aNGkSGs29k+0bGxvRarXExM= S0O/bIyEgkEgk3b95kxIgRZGZm0tTUJLLUtz1XM2bM4PPPPxePY+LEiaSkpFBcXExwcDCDBg2ip= KSEGzduUFlZKY5jZ2dHaGioeN2DgoJITEzkzp07VFdXU1dXR0NDAw8//DDFxcWkpqbS3NxMv379= iIiIuOex/Bzch7o/CWapHItcAlIBpBIkgEwAqSCIabwSrEgRWvcAyT0qnARBaPleaEv6bbf1B6E= gCUajmaysLJHlV61WI5fLUavt0NprkUhb+o7uFs2ECUkMHDgAQRAwGAzk5eWjb9Lj6OjItKlTeH= jSBCZMSOLBB4egUqnEsaVSKQEBLXwxcpkMhVKJg4MjCqWKyspqfkt8/fXXHDt2jKysrHbuTFpdm= o899hg5OTk0NTXx3HPPIZVKuXz5Ml988QVms5k333wTiURCY2OjqMP0wgsvkJeXx/bt2ykrK+PT= Tz/l3LlzSCQSJBIJUqmU999/X/zh+/jjj9u5oQ8ePMjJkyeRSCSsXbuWlJQU0tLSqKqq4qWXXqK= 6+vtzkpWVxZYtW7Barbz99tucPHmS5ORkcnJykEgkXLp0icbGRpYtW8ZLL73Ubg5ms5lPP/2Uio= oKkpOTSU9P5/z58+zZswdBEMQH/dChQxw/fhy9Xk9ycjKVlZXQahju2LGDWbNmkZKSQl1dHe+88= w6ZmZmsXbsWqVRKdnY27733Hnv37mXevHns3bsXqVR6zzyq8vJyvvzyS3Q6He+++y7Xr1+/q82h= Q4eYP38+M2fOFI3Dzz//nPPnz7djBl65ciV/+ctfqKurE49Xr9dz6NAh6uvrMZvNrFmzhs8++4z= HH3+cDz74AKlUyqZNm5g9e7YYLklPT6egoOCusMoP8c0335CQkNDuu5CQEIKCgnj11VfZsGEDDQ= 0N7Ny5k+LiYnJzc3n66adZvXo1s2bN4tSpU5w5c4YDBw6QlpZGcnIyTU1NbNq0iezsbGbPns2KF= Suorq5m9erVSKVSTpw4QUpKyk/e2/b29iQkJHDixAn27dvHiy++SGVlJVeuXGHLli1IpVKWLl0q= EkQuXbpUPF9tn7feeos7d+6QkZHBN998044huw1NTU3k5ua2M1iKiopYtmwZM2fO5OWXXwagvr6= eP/zhD6KOWXV1NZWVlcyfP59vv/1WvCekUilXrlwhIyMDqVTKuXPn2LBhAy+99BLz5s0jKyuL4u= Jinn/+ebZu3UpxcTE7d+6koaGBLVu2iEbLvbB8+XLKy8vJyclBr9ej1+v58ssvKS4u5sqVK+2uc= 3V1NbNmzeLVV1+lrKyMjz76iA0bNrB06VJWrVqFyWSioqKCzz77DL1ez7Zt2/jiiy84d+4cBQUF= LFiwQOStarvnZ82axVdffQXAvHnz0Ol0pKWliaHOWbNmsWfPHurq6nj77bfFc/H3v/9dnFfb87x= gwQLKysqoqqpixYoVSKVSLl68KJ6DDz74ALPZzPr16ykrKyMlJYXnn3+e27dv88knn2A2m9m4cS= Pp6eni/G7cuMHTTz/Nxx9/jFQqJS0tjYMHDyIIAm+++SYVFRXi2tXc3Mzt27cBWLNmDdevX+fCh= QscOHAAq9UqznfHjh2cO3eO+vp6kpOTWb9+PXPmzGH58uVcu3aNTz755Eev18mTJzly5Ag2m42N= GzdSWloqbmszztte9Nr+TkpKIi8vjw0bNmCz2XjuuefIzs5m1qxZLF26FJ1Ox5/+9Cfee+89zp8= /z7vvvoter2fXrl3k5+dz9OhRtmzZwpo1a3jqqadobm5Gp9Oxfft2Kioq2LZtGydPnrxrrseOHR= PXpjNnzgDw1Vdfce7cOaqqqkhOTqa8vFwM/2ZnZ7Nu3TpsNhuffPIJZWVlfPHFF6SlpSGVSsXP2= bNnuXDhAlKplL///e/s27eP5cuX88Ybb1BfX8+dO3dYuHAhZ86cIT8/n7/85S80NTWJ13bmzJks= WbKE3NxcnnvuOcrKyvj666+5dOkS+fn5/PWvf/3R8/9zcF/IFAQk2JAhF1pMGQkgRUAiWBEkNoT= WcmypxAaS7w2UH8LOTg0IGI1mKquqsNlsrYuKpJ2h05bIa2g20tzcjCAInD17jlOnTgMCHh4ePP= nkE0iQtJalt0Btp0YqaemrWa/HZrOiVCrx9PJAIhFa6e1b27fO0WQ0sXv3Ho4cScFoNCEgIJVIk= csVv3ky8ZAhQ3Bzc+Ppp5++y3qdMWMGmzdvZs6cOdy8eZMjR45w9OhRmpubGTJkCB9++KFIWieX= y5kzZw6NjY2iBa7Valm9ejV///vf6dOnD9euXePEiRMMGjSIbt26kZ2dzbhx43jooYewWCyoVCr= 0ej0pKSkkJyeLb5CDBg3iyJEjdOnShZUrV7arXjt58iQbN27EycmJ6upqYmNjAZg7d67opdBoNE= ycOJETJ04QEhJCeHg4o0aNIjw8nJdeeom3336btLQ0cnJyKCoqom/fvowfP15cuEaMGMGIESOIj= IwkIiKChoYGPDw8kMvl9OrVi/j4eB599FFcXFyorKxk8+bN2NvbM2PGDIxGIzNmzGDBggX07duX= MWPG8Lvf/e6e18Lb25uXX36Zxx9/nMzMTEpKSu7KE0pISODFF1+koqKCwsJC6uvrWbt2Ld9++y3= Nzc2iQTZ9+nTOnDlDQECA+Hbq6+vL5cuXmT17Nk5OTthsNsxmM9HR0YwYMYKkpCRiYmL45JNPkM= lkTJw4kdTUVBYvXnxPMco2uLi43PN7Nzc3Bg4cyNmzZ6murmbDhg2UlJQgCAJubm48++yzWK1W5= s2bx7Zt28jLy6OsrIzf//73jBgxgqlTp6LRaFi0aBFLly7F2dmZd955h+3bt/PVV1+18/b9FNzc= 3OjevbvolbRareJ1WbFiBQkJCWi1Wk6ePImbmxtDhgxBJpPRo0cPXn31VW7dukVSUhJ//OMf2/1= otcFgMGA0GnF1dRW/8/LyYsqUKXTp0oWPPvoIWu9VFxcXZsyYgZubG3v37sXV1ZUxY8Zgs9kYOH= CgSGD51ltv0adPH4YMGcLt27fZvn07I0aMYM2aNcydOxepVEplZSVZWVn4+vqybNkyFi1aRFpaG= pWVlffUB7t27RrHjh3j1KlTpKWlcfLkSZqamnj33Xdpbm7GYrHg4ODAG2+8Aa1yHVOnTuXmzZvM= nj2bsLAwVq5cybhx46iqquLRRx/l5MmTvP/++zg5OaHT6USyxps3b/LRRx8RGBjIxYsXcXFxoVu= 3bkydOlXMeyooKGDIkCF4eHhw7do1PD09mTRpEtXV1aSkpODt7c2MGTNobm5m+PDh4nFoNBomTJ= jA0aNHmT17NmfOnGH//v3s3btXJLPs2rUrFRUVTJ06lRMnTtC1a1eio6PF9aFtbdqwYQNRUVEcO= XKE4uJi5s6dy/Xr1xk4cCCPPPIIer2e/v37k5SURENDA1evXhW9gRaLhRs3bgDw5JNPcufOHR56= 6CHmzp3bLldy06ZNnDp1CpVKhUQiYcOGDYSHhzNlyhTCwsJ4/vnnf/TeHTBgAP379ycqKgpfX1/= q6+vx8fEBQKlUolar77lfcHAwr7zyCm+88QYXLlzA19eXESNGEBISwuzZs3n//fcZPnw4Go2Gt9= 9+G7VazcKFC/n0009Zt24dwcHB9OvXj+bmZqZNm4ZaraZfv3689dZbnD59mkmTJt01Zq9evXj55= ZepqqoSr/Fnn33G5s2b0Wq1NDQ04ODggIODA2q1WjzvbS8ZH3zwAadPn6awsJCEhATKysp48MEH= eeyxx3jhhReIjY0lKCiIdevWMX78eDIyMpg+fbpohAL4+vqSnJzMqlWrOH78OMuWLSMpKYmmpib= mzZvHypUrKS4uZvLkyZw4cYJFixaJZJ//Ku4zY5OE9nm29/LA3BsBgS0uXZPJyJkzZ8nLvUNDQy= M6XQM6XQN6veF7n4+txdVlZ6dBJpMxZMgQFi16isWLn2b+/Ll4+3ghYAOJ7R/Gb3nrs9NokEhaP= ATVVbVYLFasVvhevqflOGpr67h48TIKhZIZM2bwzOJnmDhx4o+6/e4Hmpub0ev1bNq0iVWrVvGn= P/1JFFlsg4dHCx9F20PZq1cvbt68SXl5OZ988gmOjo6MHz+egwcPYrFYkMvlaLVacd5DhgzhwIE= DrFmzho8//lh867VYLCxbtoz33ntPVOH+IZycnNi4cSN37twhNzeXcePGsXXrVgYPHszYsWO5cu= WK2NbOzk70FOn1eqZNm4bFYsFsbinxt9lsNDY24uTkdNc4BoOBadOmERoayvTp0xEEAbPZLP6At= XmkkpOT6d27N5cvXyYqKkrcXyKRoNVqUSqV2MYE3H8AACAASURBVNm1UMq3sQHn5OSI50SlUuHg= 4CC2/TEUFBQwbtw45s2b1879/EM4ODjg7+9PYmIiSUlJ1NfXYzQaMZlMorehqqoKDw+Pu8JHgiB= QVlYmJnOq1Wrs7e3RaDTiNXNyckImk2GxWFi/fj07duzg/fff/9E50+rC3rp1KzU1NeJ358+fZ8= uWLTg6OooGer9+/UhNTaWsrIwzZ87g5+eHk5MTGo0GQRDEF42cnBykUqmo99W2mFdVVTFx4kQUC= oXoDfkxCILArVu3SE5OZvz48Wi1WvEade7cGUdHR8LDw5k+fTq9evVCq9W2elO/h9Vq5YknnmDt= 2rWsW7euXbjmn0GhUODl5UVAQACvvPIKOp0OvV4vaqxJJBL0ej3Nzc33NA4FQSAvLw8AuVyOQqH= A3d0diUSCSqVCoVCI6u15eXk88sgjTJ48mSlTpvzonKxWq3h/S6VSLBYL1dXV9O3blzNnzlBZWc= n58+fF9jKZTJSzaLuv1Wo1jo6OqNVq8X6bMmUKOTk56HQ63nrrLZ5++mmefPJJhg4dysGDB9vN4= YehpdWrV5OUlMT69euZPn06EolE3C4IAllZWVgsFhQKRbtrI5VKRV0yhaLlBXD48OHcunWLsrIy= 1qxZQ79+/YiLiyMuLg5/f3/69OnTbm16+OGHOXToEH/605/4/PPPRWNErVaj0WhEbbnvvvuOOXP= mkJKSgq+vryga3HYNrVYr9fX1LFmyhOXLl/Phhx/exW8lkUjYtWsXxcXF3Lp1i0GDBqFWq3F2dk= Ymk93TYG7D/v376du3L9nZ2XTr1q3dNj8/P2pqatp5eGtqanjmmWcoKSlh1qxZzJw5k4CAAJRKJ= c7OzqI+XpuOXpvGXmNjI88//zxms5kXXngBqVSKg4ODqJNXXV3N3Llz6dq1qxiu/0fY29vj7+9P= v379mDRpEnV1ddDqXZfL5eLzxw+0BvV6PdXV1Tz66KM4Ozszd+7cu/q1WCxion+b7qCTk5P4u6R= QKMT1PS8vjwEDBjBgwACGDh2KUqnE1dW13drblli+f/9+8cXj1+C3pcH8Bc6N4OAgevfpzelTp7= l9K5u3//YOLq4uLTw6Vhvh4eFMmJDU6hcCpUpOZGQkRUVFFBcXERDoh1Ihx2Q20djQ2PpQCKKxJ= QgtdIAItC7ejtTU1LB581aiojqDVIKzkxOenl4gSJAgRSKRiq5bq9WKXq/HYDAiCLb7Ui1VXl7O= 8ePHycnJYf369dAaS29bEDp37szVq1e5efMm165dIzo6GlrDQ0ajkdOnTxMTE4OXlxfPPfccUVF= RuLi4kJSURHR0NOvXrycyMhKVSsWNGze4ePEiQUFBbN++naCgILp06SIuiEVFRXz11VdUVlbSv3= 9/du/eTUFBAcXFxURERKDRaOjTpw+ffvopJSUlyGQy5HI5d+7cwdfXl379+rULDfTu3Zv9+/fz9= ttv4+LigkajQS6Xi3O6fPkyPj4+3Lp1i7q6Oi5fvoxSqWTXrl2YTCbR+CksLOTUqVNERUWxd+9e= KisrOXfuHI6OjpSXlzNu3Dg2b95MXl4emZmZBAUFicZDZWUlycnJYp7WhAkTRI+Qo6MjgwcPpqC= ggOvXrxMUFETfvn3FH8rKykquX79OSUkJ3bt3x8PDg+vXr1NbW8vZs2fp27evqP69b98+rl+/zs= aNG1EoFNTW1uLt7U3//v2ZP38+iYmJZGdnk5KSgiAI5Ofnc+PGDVQqFWfOnMHX1xeZTMamTZvEH= 63AwEAxt2Hw4MGkp6eLISSDwYC7u7sYEjxw4ADZ2dk0NjYydOhQ0R0+bdo0zp8/z5NPPsnAgQOh= NY9j3rx5rF+/nhs3blBdXY2joyPr16+nU6dO1NbWijlGly9fJjU1FZ1Ox7x583jllVdQqVTodDq= SkpLYtm0bFRUVHD9+XNSzanNT19bW4uLiQllZGcePHycvL4/169djMpk4ffo0Q4cOZebMmRw/fp= yrV6+SlpZGVFQUBoOB5557DoDDhw8jCALXr18Xc0euXLnCd999R3Z2NgsXLuT48eNUVlaKSuRtB= mabcejg4CAad9999x2XLl1CKpVy/vx5jEYjOp2O3r17c+3aNVavXk1+fj6XLl0iLS2N48ePtxP9= /OKLL+jSpQs7d+7EZrNhMBiIjIzkypUr2Gw2jh8/Trdu3bhw4QI3b97k8uXL+Pn5cevWLQoLC8n= IyECn01FSUsLhw4dFQzkwMBAPDw/+/Oc/Y7PZRA25kJAQ3n33XaKioqiqquKFF14Qny+bzcbFix= dZv349aWlpLFiwgJSUFPLz86muriY6OhqLxcLrr79OQEAAzc3NogDrQw89hMlkEu+/8PBwDh8+T= ElJCWVlZfz1r38Vr0FqaiqRkZEcPXqUuro6xowZQ2lpqahF9+ijj4pzMhqNHDt2jNraWjIyMoiK= isJsNvPKK6/g5+eHj48P3t7e1NXVif2npaXh6urKhQsX8PHxITk5mZiYGBITE1EqlSiVSm7fvs3= 69eu5evUqBoOBQYMGUVFRQUxMDDt27KCxsZE7d+6gVCpZsWIFfn5+XLlyhU6dOnHx4kXRG1BeXk= 5JSYkoSDtr1ixeeOEFZs6cSWNjI2FhYRQVFXHy5En8/f0pLi7m4MGDPPTQQ9Cag3Xjxg2cnJxQK= BQMHz6cjRs3UlhYyPXr1+nUqRMKhYKgoCCefPJJ3nzzTQoKCqA1VDV37lxycnIIDg4mPz+fpqYm= NmzYQFpaGjU1NTg4OFBVVSVWjeXn53PmzBnxpSY7O5uSkhKampq4efMmt2/fxsXFBa1WS3V1NQU= FBZjNZkaPHo2bmxsVFRXs2rWLzMxMNm7ciFKppL6+HmdnZ6ZPn86SJUuYMmUKNpuNUaNGidp9Np= uNrKws0tLSMBgMWK1W8vLyMBqNuLu7U1BQwI4dO5g5cyZbt26lpKQEnU7HY489xnfffceFCxcoK= yvD3t6es2fPEhgYiFqtJjo6moqKCvLy8vj888/JzMxELpezf/9+mpqa+OabbxAEAVdXV86ePUtF= RUW7371fil+tLVWpM/LF6UKkWJFaDcSEOJHQNYRmo5kDp65Ra1RjkygAM46yJsYOjMNJrWxn99h= sNqRSCZ06hVBTXUtVVTU6XQNVVVXU1tZSWVmJRmNHfEIfDh06hEqlon//BwgL70RxcQk5OblcuX= KFy5evkpV5i4CAQO7cuUNVZTWxcbF07hxOfn4BaefO4+3jxaBBA3B1cSEnN4/iomIyb2Zx88YNK= quqCe8UztWr1zCaTIwdO5rGxiZysrO5fv06V65cIScnB7PFjEQi4eGHf13JZnNzM1arlcjISPFB= 9vf3p2/fvsTGxmKxWAgICCA2NhY/Pz8xBFFWVsawYcPw8vIiODiYxMRETCYTdnZ2JCQk4OXlhUK= hIDAwkODgYFFzyc3NjbCwMOLi4rC3txfFFP39/fH09MTb25uEhASsViseHh7Ex8cTEhIivomGhI= Tg4eGBxWLBy8uLQYMG4e7ujl6vJzo6mr59+4qGhaurK2FhYZjNZlQqlRhakcvlyGQyJk+ezNChQ= 5HL5fTv3x8/Pz+6d+8OQFBQED169MBqtZKQkCAm7Pn5+WGz2fjd737HmDFjGDp0KIIgoNFo6N27= N4GBgXh5eSGVSqmrq+P69esEBwfj4eHByJEjCQ8PJzExkdraWlxdXRkyZAg2mw0vLy/Cw8Px9/c= X+ZOMRiNqtZrQ0FBiYmIICQlBEAQGDx6Mv78/wcHBKJVKmpubaWpqEjWmlEqlaNi0HZ+rqyuDBw= 9m2rRp1NXVERMTQ3BwMN26dcPe3h5fX19GjRqFwWBALpfTt29f3N3d8fHxISAggLCwMPR6PX369= MHV1ZV+/fphs9nw9fUVRVM7d+6Mj48PUVFR7TigBgwYgL29PTabDaVSyZw5c8TtkZGRhIeH079/= f1HFu0+fPnh7e4taVg4ODnTv3p3ExES6d++OwWAgKCiIzp07U1FRweDBg+nSpQuhoaFYrVaioqK= IiIggODgYtVqNXq9HEATxHrezs2Pw4MHMnj0buVxOc3MzPj4+BAYGotVqKSkpwcfHB6VSSUZGBv= Hx8fj5+eHv7090dDQODg4EBAQwbNgwmpubCQkJISoqCg8PD4KCgoiIiMDf3x+lUolCoaC0tJSam= hoxHNKpUyfc3d3FufTs2ZN+/foRHx+PyWSiS5cuTJkyhZ49e2KxWIiJiSEyMpLY2Fg0Gg39+vUj= JCQEvV6Pv78/gwcPRqfTMWLECNzd3fHw8EAqlRIdHU1MTAxBQUHYbDYSEhIIDg7G1dVVTL5v+5G= 1s7MTE7Q7d+7M6NGjmTBhAl27dhU9M8OGDWvnecjKyqKgoIDu3bvTp08fHnjgAQRBICQkhIiICD= w8PIiKisJkMqFUKhk9ejSenp7YbDb8/PwYPXo0Pj4+aDQa3N3dsbe3p3v37oSEhHDjxg3CwsJQK= pVUVFTg4eGBSqUiNjaW2NhYHnroIerq6vDw8GDEiBFiCMZms6HT6RgwYAA+Pj6EhIQQHx+PXq/H= wcGBXr16YbVaqa2txcvLSxRw7dGjh7hetOWI+fj4MGDAAIKCgnB1dUWpVBIXFyeGcwMDA9t5h0J= CQnjooYeQSCQ4OzszduxYRo4cyaBBgzAajYSEhBAZGUloaKho/EdGRuLl5YXNZiMqKgpPT08iIy= MJCgrC29ubHj164OLiImq16XQ6PD096dy5M4mJieILW0JCAoGBgfj4+IjPUUREBF27dqWhoQGlU= smgQYPo0qULfn5+4hyHDx+OUqkkKiqKzp07Y2dnR3x8vKj917NnT4KCgoiJicFqtdKlSxc6d+6M= t7c33bp1IyQkBF9fX7y8vLBarfTu3ZvQ0FCCg4Oxs7MTc3J69eqFnZ0dSqUSDw8PBg4cSL9+/UR= PY1hYGGFhYfTu3RuJREJkZCTjx49n6NChBAcHi337+fkRGxuLl5cXKpWK0aNH4+7ujtFopFevXq= L2XlhYGOHh4ahUKuTyFidE2wuHk5MTvXv3xsHBgU6dOhEbG4tarWbgwIEEBASQmJiIRCLBz8+Px= MREfH19fzL0/lP41QzFN4p0jF11GrlgRG6qY9qQAJ56eAhVuiae+Ovn5NQ7Y5HagaDHT1nJJ8tm= EOhk354bWGjLeYHmZgPFRSVUVFRitVmQSFq8Ls7OTkRFRZGeno5MJiMuNhaVWkV9vY6CO0XU1tU= i2ATkcjmhnUIpLyunXldPp06hBAT4UVpaQWZmJi6uzkR2jkChkFNaWklxUQkGQzO0xowDAgPIy8= 3DYjXTp08vTCYTOTm51NXpkEqkCNho4/UbMKD/rzl1HfgNkZeXx9/+9jdefvllMYzXgf9uPProo= yxcuJDExEQAXnzxRTHP5F+F0Whk3rx5PPvss2Jex/8F7Nq1i7S0tPvOlbJv3z4OHTrEu+++C8AH= H3zAnDlz7goN/quYPHkyixYtIj4+HoDXX3+dpUuX3pe+O9CBH+I+h6V+PMfmn0WoJBIJgiCg1Wr= oHBlO58jwu9oIgo3ExH7tQkJOTk7ExN6dt+Hr69W6T0uVlbe3Jz4+nq37thhS/v4++Pv7tJt/S1= v31rwbofWN4f/Oovj/A0wmE3v27OHIkSNotVpWrFjxn55SB34GlixZwsSJE8X/jxw58qv7VKlUJ= CcnM2nSJLZt2/ar+/tvQGlpKS+++CJeXl6cPXv2roq4X4PRo0ezbt06MYdt4cKF982wobUqbMKE= CeL/+/fvv299d6ADP8R98tycQo4ZubGK6Q8G8uTEoVQ2NPHkiq1k17tgk9ohsenxUlWycdkMAlo= 9N20GT5vBIQiS1jyXfxzle2HNlmopvt/7JzQz27w+LftIRf0oQRCQSn8ouinu0W7MH8wQQbAhkc= h+MF9EF2QHOtCBDnSgAx3478H9+XVuswEk1p+ujvpR9833HDbnzp1nx45d7Ny5m507Wj67du3jz= Jk0dLqG1goPgbq6ekpLy2hoaGzp+gccGG2ftuooi8VCeXk55eUVmExmBAGOHz/Bzp27yMzMwmZr= STxuvz8/6AckEinHjh1n9+69Io/B/YTVauXjjz9uV3H0j8jPz+fZZ59l0qRJzJs3r922NhKwrKw= sLly4wJo1a+77HH8JVq5cyaRJk8SqjPr6elatWsWkSZN46623fnY/ly5dYsmSJT+7/eHDh+9ZsX= Pp0iUWLFjApEmT+Pjjjzl16hS0cnpUV1dTWlrKRx999KP08/+I27dvs2nTJjGcmpWVxRNPPPGz5= 9mGSZMmsXz5cjHp1Wg08sYbb7B8+XJqa2vR6XRMmjSJxYsXU11djU6n47PPPvvF4/y7UKe38N6R= YnIrm7HaBP5+qIgrhU3svVjN3w/dWzqiAx3oQAfuN/5LXA/fG0SnT51h65Yv+eLz7XzxRcvn861= f8s7q93j9L29RXFwCSNmx4ytefPElDh/+acIwgJqaWlau/BuvvfY6ubktZZyHDx/miy+2ceNG5s= +YX4tH6dChFLZ9+RWlpWX3nedmx44drFixgvLy8h9t4+/vLzJU/mOoRaVSMWrUKCQSCdOmTfu36= Yf8GBYsWEBISAgPP/wwtJZKT5o0icTERB577LGf1UdNTQ3z58/n8OHDP3vcL7/8kk8++aSdVlF9= fT179+5l0qRJYqljr169ePHFF/nss89obm7G09OTqVOn/mwXfEhICBMmTBC9d9XV1b9Iq+natWv= 07t2bkSNHsnjxYpydnaGVB8NgMLB48WKcnJxYtGgRa9euRaFQsGPHDlQqFTk5Of85vZZ/gm3nK3= l9XwG1TRZkUglz+vtQ1Wjm+e25nM3V/aen14EOdOD/E/y2peA/Ey0hoxZBS6lUiqS1bt7OToUAm= E1mmpsN5OTksm3bdhYsmN9Sqo2klSCwBW0BtnvbHRIQfritpdy7hQHzXqGwuzuRtpaF/1zunp8D= s9lMfn4+ERERDBs2TPz+2rVrSCQSfH19Rb4NuVyOg4MDKpXqLs6GtkqFwMBAVq5cydatW8nLy8N= gMBAWFoYgCNy5cwdBEMRqkfz8fAA6derUjuuA1rh+dXU1zs7O+Pn5YTKZyM3NxWq14ufnh7OzM+= Xl5ahUKkpKSlCpVISEhIjVUo6OjgwYMID6+nr69+/P/v37sbe3x97eHkdHR4xGI4WFhRgMBtzc3= ETOlDa0lcwuXryYv/3tb9BqQJSXlyORSAgPDxe5INpw5coVxo8fL8o8hIaGQmsJZ35+PrGxsSQn= J4tMwG+88QYff/wxtObpNDY2otFoxNJSgLCwMNRqNVVVVSJlfHR0NAaDAb1ej1arxWAwoFQqMZl= MVFZW4uHhQXl5OWq1msLCQuzs7MTqDlrFItesWcPs2bPp06ePyG0yf/58Fi1axKhRo6A17Pnaa6= /h7OxMz549iYqKQqVSsXDhQtavX09RUZFYgl3RYKaqwYSDWo4gQIPBgreTEkGAcp0JAJlUgreTk= uJaI1qVjEA3NTdLmsTzF+SupqjGiAQIcFNRXm9GAEI9vickK6kzUdtkxk4pI9RDjdFso6DGiMli= w89FxehYN1JvtQhpCgLUNJlJ6OTInP7eZNxp4HZ5MzZBINhdjdkqUFxjRCKR4KKVI5NAaX3LXMO= 87FDJ27975VcZaDJaUSukBLmrEQS4U23AahPQqmQ4qGUU1XzPqO3hoMTT8fvKscIaI7pmC052cv= xcVJisNvKrDFisAj7OKly1/xXLYQc60IH7gH/r09zKPHPPbS0JxS1/2wQbvXv3YMLE8dj+H3vnH= R9Vtf3t58xMeiGFFEJIgBQCTEJIAiH0XkW4goCI+gqKBZAmiooKiBgBRbHBpVwQkCa9BkIgpBAI= EBIIkBBqeu9lMmW/fyQM5If3qld+9/r6nsdPcObMObuc+j1rr72WwUBuTh7btu0gMzOTWxm3ycr= KJjg4GCcnF3x8vAGJ+nodmffvU1ZW1qQGa2srXF1dGDZ0CDqdHlvbZty4kUZVZTUgkZ2Vy4ULF/= D29sJgEI0P/Ie+Nra2tnh6eGBmbmZs54P4N38UnU7HwYMHiY6OxmAwGMXG4cOH2bRpE1ZWVrRr1= 47p06c3CeX9S8TExLB69WpjLIz09HTWr19PbGws8+fPJzU1lU2bNjFw4ED+9re/cfbsWbKyssjL= y8Pb27vJrJRbt27x9ddfU11dTUlJCVu3biUiIoLIyEg0Gg06nY7Zs2fz9ttv07ZtW8zNzbl+/Tr= r1q0zTm99wNy5c3nvvfdYunQp06ZNa9irjSkUDh06hFarJTMzk+XLl+Pt7Q2Ngm/16tXGYGE0xp= 3ZuHEj9+/f5/79+0ydOpURI0Y0qSs9Pd2Yw2n37t1MmjQJCwsLTpw4QXJyMvX19SgUCr7//ntmz= 55tjK6q0WjYvn07Z86c4bvvvmPLli2cOHGC0tJS5syZQ/fu3Vm1ahX5+fmcOHGCXbt2ERkZaQwv= f/r0aY4dO4bBYODevXt8+OGHLFmyBHt7e6ytrcnMzCQ8PBw/Pz9oFFsPYlVERUXRvn17hg4dSm5= uLt7e3ixcuJB27doxf/58nJyc2LFjB2fOnDFG/nVzczPmk3kgbpLuVTH7pwzGdHHC3lLFhpg8Vo= xvi94A68/kUl2vp7bewMrnvHh31206e1jz6Zg2zN52Czc7U87frmTnmx1YfSqH5Kxqvn/Bhy8is= ghsZcWswQ11pOXWsPTwfUyVCq7nVrPzzY6cul7KyWtllNfqsDVXsXRsG+PxOHi5mC8iMgl/tlFk= 5tfyZUQWtwpqeaVPC2LSyzmWUsLQAAdGdnJk36UizEwU3Myvob+fPXOGuhvLupJVzYpjmThYmXC= nqJaXuruSX1HPt5HZdPdpRu92zbiZX0tKZjW19XruFtXx1URvhvo3RCe+fL+KZUczsTZTUlSlZf= l4L+JulhOZWkpOmYYAd2u+fM7rN1+7MjIyf27+pK8qAitrK9zcWiCEoEULVzJu3eLO7TtU19RSV= FTM9evXORMdy6hRI/HybsvRIxGcPBlFRUWF0X9HqVTi4+PN2Gef4ciRI9TWaTC3MOPkyShyc/MA= ibi4eOLi4pg5awZ6vYHVP6wxztySJLCzs+dvz4ymT5+e/yO/1R+nqKiIs2fP8vrrr+Pl5cWECRO= orKxkxYoVmJqaolKpyMjIYPz48b8qbqytrZuE/HZwcGDOnDkEBwezY8cO+vXrR6tWrZg/fz4VFR= UkJSWxbds2SkpKGDt2LLdv3zZaOnbt2kXnzp157rnnOH/+PCYmJqxdu5Zdu3ahVCqZMWMG58+fx= 8bGBk9PT+bPn8/zzz/fJEDWo6xevZo333yTvXv3Ym1tjV6vJzIyktdffx0fHx9WrlzJ/v37mTt3= LjRaYB7kgdq2bRupqalcvXqVbdu24ebmRk5ODrt27WoibsrLyzlz5gybNm1Cq9VSWFhojB46Zco= USktLeemll4yRTh9FoVBgbW1ttKz06NEDBwcHVq5cSUpKCra2tigUCr799lsuXLiAra0t1tbWxk= SMu3fvZtGiRbi5uTF37lyio6OxtrbG0dGRZcuWMXPmTLKzs43ipqSkBFtbW5YsWUJlZSVvv/02D= g4OdOvWjSlTplBWVsbKlSspLi7Gzc2N1q1bs3//fr7++ms2bNgAjSkh0tPTjX0YorZnkNoehQR9= 2jXj2JUSbC1UVNXpmTXYnWqNnvDD9/FrYUmXNrY0pl5jiNqBqX1bMGVDGhq94I3+bszedgtJghb= NTI3CBmDbuQLc7c1YMNKT87crMFNJrDmdi04vMFFKHE4u5o3+bsb1Ha1VqBQPXwJszFUs/ltr9i= cVcehyMV7OFng5m7P4b625cKeSnDIN+95Sk1WqYcL313g6yBFv5waL4upTOfT2tWNKb1d+vlDIx= rg8XghzwdnWlLcGtUTd0orRq1J5PsyZKo2enxIKjMIG4B+xeZzNqMDf3YrEO5XE3yxnS3w+y8a1= pZmFisxHLD4yMjL/7/NExI0kpEazzC9ZM36/GPif+kGhUODs5AySAm29lrLScmpraqmorEBTX0/= ajRvs37+fiooqY2j1iooK0tPTqK2rQ683UFVVTU1NDWZmZnTr1o38vALKyirw8fHFy7sNrq6u6P= UGYyAoSSFxM70hi+6xYxGEhXV9rF1/lAdB2x6Eq3Z1daW+vt4YrZFHHry/xoPAXQ9wcXHBwcEBN= zc3mjVrZhwasrS0NGZjpVEEubi4GENy0zj806JFC8zNzY3ZdTMzM415ejp06GAcGgoODkahUBjz= If0SzZs3Z+7cucyaNYuePXtCYyDCB+HNAwMDOXXqlHH9kpISY36WB8NVGo2GoUOHMmPGDCwsLJo= EqqMxAuikSZPw9fWlpqaGjz/+mOTk5MdCo7dt29Zo7XiAiYkJXl5eTRJeFhcXM3LkSJRKJWVlZd= TW1mJiYkJYWBgAt2/fpqioCIDs7GyjhalLly7k5eXh5eVFhw4d4JGQ5g94EHL9QRj9B0ONlZWVu= Lm5YTAYjIH3VCqVUWx98sknTdr9P52fnwt15t2dtxmqdsDR2oRtCQU425rw3lMNgnPB7jvEZ1Sg= MwhuF9TyU0IhXs7m2Jgr6eRhTcSVEixMFTham5BVoqFOa2hSfmm1DmsLJRamCvr4NfgIWZsrmTG= wJWFeDYEeqzUPQ9Z3bWuLldnDVBOudqY42ZjgYGWCtZmS7t62XMmqwt5Sxd3iOjS6hgvM3d4Mcx= MFpdUP91lhpZbaxva42ZlRV2+gm7ctW8/mY2HSUMeSMa3p+ellQHBxYXCTtpfX6pgU5szcoQ1Zo= S1MFXx3Mhu9Ado4mdPG6ZdzAcnIyPy/yRPJCq4QShRCAqHkYRSZBxUIhCQwKBRGvxcAhAHQN+SA= aljQWNqDqd4N34Vo+F2pVDyc2t3434N17mdmUVvbEJJ+/nvvMP+9uYx99m/odHqkxhlTSAqQJKy= trRg6dBDOzk6AICioEy++OBFPJouWcAAAIABJREFUz1a4u7vRu08PgkMCCQ4OpE/fXlhZWVJd1Z= DOQXrCU79tbGwoKCjgwIEDJCUlceLECeLi4ujSpQvTp0/nzp077N271+hkXFtby7179ygtLSUpK= YmkpCQOHjzI2rVryc/Pp6CggKKiIqMYSkpK4ueff2bkyJFkZGRQVlZGWVkZXbp0MWYqTkpKQpIk= goKCjO0aNmwY3333HUlJSWzfvp27d+/So0cPfvzxR5KSkkhNTaV3794UFBRw7949MjMzKSsro6C= goMkw0u3bt41JLkNDQxk/fnxjNGoFnp6e7N69m6SkJC5evMjo0aON9Xt6epKWlsa+ffs4deoUt2= 7dIikpievXr3Px4kWuX79uzGBMYxqL2NhYqqqqsLW1xcXFxZiu4cqVK9y5c4f8/HwyMjLIy8ujs= LDQGAZcr9eTnp5uXFZQUEBKSgpPP/00Wq2W3Nxc3N3dyczM5NChQ8Z9UlBQQF5eHqWlpQQEBLBj= xw6SkpK4dOkS/fr1o7CwkLt375Kfn09RUREFBQVG8efj40NtbS2nT5/myJEjmJmZ8fzzz5Oamsq= RI0eIjY2lVatW2NraGo9zbGxskxgwdXV1xsipD+jmZUu1Rs/RKyU8382Z1OxqFAoJVeNfr3bN2B= yfT2/fZjSzUHH6Rimjgxqif3Zta8O+S0XoDYKxIU5siMmjT7tm6AyCu0V15JTVM1jtQNS1Mo5dK= WFddC6HLhfTprk5kaml3C2q491dt7l8v5rSah33ijXcKaqjok5PYYUWBysV9VoDl+9XEZNeziC1= PbcK6qis1VNcpaW3rx33i+tYfyaPY1dKaNfCkiBPa27m11JarWNABzu2JeRz+X4VF+5UMiqoObc= L6iiv1VNa3TAD8vMjmWx5zY/T8wOprGso905hHfnl9QzsYM+h5BLiMirYHJ/P0ZQSOnlY8/OFQi= 7fr2LWTxlP9NqWkZH57/IE0i/Us6Mx/YJkqMW/bTO6dmhLdb2WY3FXKa0zxaBQYgAslfU800uNt= YUpSI2Zw5HAIDXoHgEJiYncv3efdr4+jeH4G+LNJF26zOXLKY0h0EMpKMjn9u07tPdrj0ZTy7Xr= N/D0cGfEyOEoFQry8nI5E30GFxcX/AP8OXs2AW29lp49u9O8uROno6MpKirBP0CNn58vkiRxMvI= U69ZtIDIykpiYGC5dTKK2tg4bGxsGDR5ATEwcZaWlhIV1w83N7TfsnX+NpaUl3t7eXLx4kcuXLz= NmzBjGjh3Lyy+/TGxsLCkpKfj6+tKpUyeUSiWFhYVER0djYWFBSkoKKSkp3L17l7Fjx3Lr1i1yc= 3NxdHRk4MCBaLVajh07RlhYGIMHD2bHjh3Y2trStm1b3Nzc6NOnDwcOHCAlJYUvvviiySyhNm3a= YGZmxvHjxwEYOHAgoaGhREdHc+HCBWbOnIm5ubnRj0Wr1aLRaLCzs8PX1xczMzOSkpI4e/YsxcX= F9O3bFxoTIzo5OeHh4YGfnx/Xr18nNjaW/v37Gy0iNGY9dnR0JDo6Gk9PT3r16sW8efNo1aoVJ0= +eJC0tjaFDh+Ls7AxAcnIyZ86cwdHREV9fX7RaLampqeh0OiorK8nOzqauro7i4mJMTU3Jz8/Hx= saGrKwsWrZsSX5+PlZWVpSWlmJnZ0dAQACnT5/GzMwMnU5nTO0QFRVFSkoKI0aM4NatW5SXl+Pp= 6cmgQYO4ePEiCQkJPP/889jb23P9+nXKysqwt7cnPz8fOzs72rVrZ0xwaG9vz8mTJ8nKymLRokX= Y2trSpUsXdu3ahcFgYMKECZiZmfHNN98Y8+SMHDnSmLIgIiKCfv36GffBA2wtVLRubs7IQEdKa3= T09GlGK4eGY9uimSllNTpGBzXH1c4UO0sVnT0ahLCXkwX3izUM6uiAr6sFGq2B57q5UK8zEHG1l= LJqHSM6OaJSSpy7XUmt1sDUPm4Et7bhVmEdCbcqCfK0xs3OlOIqHfU6A0WVWkyVCuwsVTzbxYmi= Ki1xNysI8rTmqUBH9lwswt3BDBdbUzq1siLQw4bYm+XkltUzf4QHSqXE7gtFWJsrGRnoiEHA6Rv= lONmY8GIPFw5eLsbGXEULO1NaO5lzOLmYwgodV7KquZJVzd1iDbnl9dTpDIwMdMTGXMm5W5WYqC= Re6O5CNy9bLt6tJOleNWHetnRs+dsTcMrIyPy5eSJB/J5ZHo+SehT1JUwc2IrpYwZQVFnNzM93c= LusGShUCLQ4mJex6YMJuDcG8VOhx2ikkQQGg4JvvvqB6JjTjBgxjMlTJqPT6cjLzWf1mr+TnpaO= o6MDM96aRlRUFCdPnmLcuHFYWJixffsOWrZsyaJFH2NjY0NSUhKLF31KQEAAE59/ji+++Iqa6mr= enf827du35+OPF5GedouJE8cz+m8j0Wp1fLhgIffvZ9KrV0/atPWkorySw4ePYmtry/IVS1n66T= Ju3b7FnDkzCQkJ/vWdIyPzhDEYDOzevZuioiKmTJlizKj7TWQ2UdfLfnX7vzLpeTX4ulr+0++/x= t4ZHf+XWiYjI/Of5on43BgkgeLBNOzGmUYSoECHSmjQN8oYSegAA3oBKmEAISEkBQZJB2iQMEEh= 9CgkJWfPJnLz5i30egPl5RWUl5cDEi3cXGnZ8qHVRELC2dkJE5UJOTm5bNr0Ix07dOTuvUwUCpU= xqjGNM7UaPgoUkoQQBlJTr+Hs4oSnhwcaTX2jH4QDzs7OqJSmjVObHwyRPWGnGxmZ30lxcTEJCQ= mEh4c38Tua2qcFL/dy/a+27b/N6FWpHE5u8CXr196Ocx8F/eo2MjIyf02e0GypBkEjBAjDQ2uMZ= NCjEPVoUWFAgUZnQmZxNQ4WZpioGoeiDEoMkgKDZIIJSvSNrjkVFeWUlZUZIwUrlSqaOzkyatTT= 2NnZIUkSisZoxf7+/gQFB5OYeIHTp85wMvI0kqQwxkERwtDoy9OwvkqlIig4iLQbN7l8+TIXLiU= yb+4c1OoOnDhxkp9/3o2kECAaHGWtrBtmbEgK0RBZpzGFw5MO5Ccj82s4OTkZ4/48ipmJgieXAe= j/TSLnBfy3myAjI/Mn4YknzpQkCQVgopBwbW5GvVJQpdNRXV2Htq6KbzYfp19AW8ICffH1dMRco= UOBElBiENCxYwfMzM1RKho8chqsLAocmzvSKcCfNm1bI4SgQ4f2SCho69UGGxsbXn75JQIC1GRm= ZiEMgvyCQi5euIhBGLCwMKdnzx5o6uuxd7BDCAN9+vTGoIPC4kIMBi3OLk74tW+PvYM9RUWFIDX= msjKAra01CoWC4ODOeHi44+joKIsbGRkZGRmZPyl/2OfmelY5Y5afQSG0SPXFjOzuxlsThmCtVJ= BfUEi11kCpRpBTWEpxRQW37uVQkFeKpDfQxd+DEb0608alOQr0GAwCne6Xhn8kTExUxui3Qgi0W= i16vQGVSokkSWRl5aDR1KPX6ZEkiXPnzrN//wGCg4OYPuMNLMzNMACSiQpTDCAp0OkbAukJDChN= TVFJSvQ6LXqD4WFiT9EQ8lhpYoJeV48wCFQqExQKBUrlnyR7hYyMjIyMjIyRP2y5kQz1WNTeRSk= pUElaEs4lk3U7AwcrS+xsbXBv2QJPdxd8WjajV5A3Fqah1Gq03MvKJ+H8Rb7ftJs+YcEMCO2MhY= kKlUqBQsG/tIpIkmR0pASoqKjiq5Vfc+fOXRSNU74RAoVSgVqtxsb2YdAyvTAgGcCgVKJHwkShQ= EJPTlkldrbWaA16TCQFpqYKTFAhCQMGFIAeExOJyho9OrRYmslxMWRkZGRkZP6M/GHLTXW9lpTs= AkxQYIoC0FGvrafe0ODsq9fWU1tdTV1tNQqlAoVShbW1JdYWptjbO1KrNZB2+zZK9AT6eNPCwQF= lozXmt1JbW8uO7TspKCwyJjKUJIG3tw+DBg3E0sIcAw0zzhUGPZklZRyJu0RABy887GyxsrBi7b= 7j2Nk5Y2oC7Txa4GJnibmJKfW6hmnO7k6OaA16ElKu4d2qJZ4tWmCqUv5q22RkZGRkZGT+s/xhc= SMQGGgMlodkDOEnGuMDSoLGUH6gFwKdQU9tXS0V1TXo9Q1eyFY2lgi9jsrSEuysm2Fn1wyVSmUU= Kr/aBiHQ6XQYDAajKJIkBSYmqsYhLoFBMmAQChAGIi+mEXvxBs8MDaWsoJDiqjrS8opxbGaPrl6= DZwsHXOytuXk7B6WFCaYqJXbmphSXFqM0taJPkBo7K0tMnnBQPxkZGRkZGZk/zh8flmpQSCBJDT= 4tDTGJUaAHoWhMydDgfKuSJFRKFeZWNthb2aCVDOiFHoUeTFHhamNHna4eg2jI4fRbnXYlSXosH= P8jPzZM/xZKkOB+YTnp2QW0buWAidBQWlPD/cIK0NZTX1dJfZ2eirJSWjrbU1yloaq4AqVCj72d= HcUFxQT5OWBh1uDwLCMjIyMjI/Pn4w+LG4GEQTJBIRptNY1ixIDU8NEoTh6kWZCQhISEwNQAQpJ= AITWII9GQdwdheCR55ZOYkSShEA1T1XPySlFKCoLVntiYmtC6lTuuzgYUeh2WzczQ6cDKREUbN2= cknUBpokRbr6HeoMTc1xM3O2vMTZRGQScjIyMjIyPz5+KJWG5UojGjlGQAlI3WGwVCgIThQRicJ= jRmXECiwQFYD0anX4N4MLT0ZMSDJBkaB8qU+LRyobCoBFFjwNTCnEAvRxQIDKLBT+dB3UoEQT6e= CAwNbWyIcIMkNQQCbJwpLiMjIyMjI/Mn4w/73MjIyMjIyMjI/JmQHUdkZGRkZGRk/lLI4kZGRkZ= GRkbmL8UTTr8g81uJior6bzdBRkZGRkbmT0/Pnj2bBO79Lcji5r9EXFzcf7sJMjIyMjIyf3q6du= 36u8WN7FAsIyMjIyMj85dC9rmRkZGRkZGR+UshixsZGRkZGRmZvxSyuJGRkZGRkZH5SyGLGxkZG= RkZGZm/FLK4kZGRkZGRkflLIYsbGRkZGRkZmb8UsriRkZGRkZGR+UshixsZGRkZGRmZvxSyuJGR= kZGRkZH5SyGLGxkZGRkZGZm/FE8st5QQgvr6egAkCUBq+vsjSx7N99B0rX9aOiAhjFtKxn+bLnm= 8fBBITbYF6TfW+sdorE+SMFGZgPSfqldGRkZGRub/b56IuNHptOzbv4/svFwsrCzgF9JVSaLx0S= 4eESTSI/JEgEHxK2muBA9lzCNKSQKkR8o1SI0/S79UnoQkGn+SwPCoQHpMe/yTfjyy7cNSedg/S= TT8CYmq8kqGDRlGhw4d/nXfZGRkZGRkZJ4IT0TcVFZWcu7cWQKCgzC3NEeIh499iQatI1AgBEgK= CYUkNegfCYRBjySBwSBQPNAt0uOywmirERJCSCAJDAi0Oh0SEiYqVeOGAgU8tNQ0ChyjFhIgSQo= EEjqdDr1ej0ppglKlBGF4aOmRRFN7zwNhJTX0w2DQoxcCIQyolCoUCgkhBJIkoUAYP2dnZZOYmP= gvxU1dXR01NTVNltna2qJS/f+TtP1B/y0sLBpF75+H+vp6qqursbGx+dVjUl1djU6nw9raGqVS+= R9r42+lqqoKIQRWVlYoFP/9UWkhBNXV1dTX1yNJEra2tggh/hTnvkajobq6GgAHBwfq6uowNzf/= bzfrV6mpqcHS0vLf2lan01FRUYGlpeV/rK8Gg4GysjIsLCywsLBACEFtba1xf/+7fXlw3fLIfcX= MzOwJt/7Jo9PpqK6uxszMrMkxeNAfCwsL4/KKigp0Oh1WVla/2rfS0lIezZP9V3/GKBcuXLjwjx= ZSV1fL+cQLuLVsiVKlQEJCkhr/kJAkBfW1deRkZnE99RqXEi+RnJRE+vU08nPzqNfUY25qhrml+= cPt/scfUoPlRxggLy+XuDOxnIqMIi46hvNnE7h2NZXSomJsrG0ab9xKJEXT7UGiurqa1CupnDwe= yZmo08SeiSU5KYnbGbeQkLBrZoeJiWmDjvmf7UAiNyuH2OgYoiIjiYmO4cLZc1y/mkppcTG21jZ= YW1kjKRQICZQKBWUlpVhZ2tC5c+A/3X+HDx9m+PDhxMTEcPz4cd5//30GDhxIixYtmqyn0+nIzc= 3FzMzsf+WkzM3NJS0tDWdn58cefDqdjoKCAlQq1ROpu7KykrKyMqytrdFqtSxatIjs7Gw6duz4R= PuWmpqKs7Pzb1pXo9Fw5MgRXFxcmtxU4uPjeemllwgMDKRly5b/sozvv/+eDz74gCFDhtCsWbN/= ut7du3e5desWbm5uv6M3f5yPPvqIDRs20KtXL6Kjox/r6x8lIyODrKwsmjdv/qviSa/Xc+DAAX7= 44Qd27NhBREQEZWVlaLVaWrVq9W/VX1xcjEajQQhBZGQkbm5umJqa/u5y4uPjWbt2LRs3buTgwY= MoFApiY2Pp0qXLv9Wu/xR3794lPDycIUOGQOM5fffuXRwcHCgtLaWmpuYXXyAiIiJwcnLizp07d= OrUCV9fXzp27Pgv68rNzUWhUKDRaIiPj8fV1RUTE5Pf3eby8nJGjx5NVlYW3bp1w2Aw8MMPP/DB= Bx9gZWVFp06dfneZGRkZrFu3jrVr13L06FHS0tK4ffs2AQEB//WXjtLSUlJSUnB0dPzF/XXjxg3= GjBmDs7Nzk5fiS5cu8frrr5OZmUnPnj1RKBS89957LFq0CG9vb9q2bfsvXwwnTJjARx99RFJSEh= s2bCAnJ4fAwMDfdP2Xl5dz9OhR2rRp85vvzzqdjvv372NnZ8fx48exsLDAxsbmN237JHjiT8hHR= 6Qe2G9upd/k1ImT3Lh+g9LSMqPy1Ol01NQ0KNQ2bdvQq28vAoM7Y2Zu3mD5aNxeEg2fFELBuXMJ= HDtyFLtmdoSFheHp6Yler+fu3bvEx8dzLj6BYSNH0Dm4M5ICFI0HW5KguLiEfT/v5f6d+4SEhNA= lKARHR0eKiopITU3lpx+30tG/I0+NfAo7RzujuafByKTgfEICxw4dxdGxOUFBQXh6emIwGLh39x= 7xZ+NJiD3LU0+PpFNwZySVhAEwCAPSLw6PPWTUqFGEh4ezZs0ahBB89dVXeHl5Pbbe7du3SUxMZ= NSoUf8rbyAajYaysrIm6v4BOTk5REREMHHixD9cjxCC8+fPo9frGTx4MJIk0b9/fwYNGvSHy36U= u3fvsn///l+9ST9Ar9eTn5+PVqttsrxVq1aMHTuWtm3b/moZnTp1oq6u7lcfzjU1NZSXl/+mdj1= JgoKCcHFxwd7enry8vMf6+keprq6mqqrqN6175MgRvv32W7744gs6depEVVUVS5cupX///v9W3V= qtlpiYGFq2bImfnx8FBQXodLrfXU5SUhIvvvgi4eHhLF26FIBXXnmFSZMm/Vvt+k9RUVHBli1bm= oi5I0eOYG5uTuvWrTlz5gxOTk6EhYU9tm1hYaFRVPr7+zNixIh/WVdlZSWRkZH06dMHGxsbiouL= 0ev1/1a77ezsCA8P54svvqC0tBQ3Nzf69u1LQEAA/fr1+93lFRcXs3z5clq3bs3WrVsB2LhxIy1= atPhTWCq0Wi2lpaX/dH85ODjQrVs3evbs2WR5ly5dmDp1KqdPnyYvLw93d3deffVVunfvbhSz/4= o5c+Zw8OBBVqxYQXZ2NpMmTcLV1ZVXX331N7U5Ly8Pg8Hwq+s+4MaNGyQkJPDKK69QVFREXV3db= 972SfCE7dIPVaMQApXShIuJl1j97Q+ciY7Bz689X331Ffv37+fYsWMcOXKEDRv+wahRo0m7kc6a= 7/7Ojq07qKmqeViSAISEUlKRkpLCti0/MXjQYDZt2sSHH36Ip6cn7dq14+OPP2bbtm306d2HHVu= 3cePaNZTKh92rq9Ww4e/rKcwrZMXy5Xz99dfMnj2b4cOHM2PGDH744QdWrlzJ/Tv32bVzl/Gm2C= CyJBLPnmPzPzYzaNAQ1q9fzyeffMKbb77JtGnTWPLpEnbu3EnfPv3YtnUb169eQ4HyN7sPnz17l= oEDB1JeXk5ycjIffvgh5ubmvPHGG6jVasLDw4mNjWXo0KFs376d6upqysvL6dOnDy+99NJjN6vo= 6GiCgoJYsmQJc+bMIT8/n6KiIkaPHo1arWbHjh0EBgayatUqiouL6dWrFxkZGaxfv57IyEgMBgO= TJk1CrVazfPlyjh49Sv/+/dm3bx8lJSUAqNVqxo4dy3PPPfeLD8j+/fujVqtJTExECIFarUatVh= MREcHUqVP5P//n/5CQkEB9fT2HDx9mxowZTJo0idWrVzcpZ9++fYSEhLB48WK6devGxo0bG/Z13= 7788MMPPPfccwBERUURGhqKWq0mNzeXEydOMHLkSFatWgXAsWPH6Nq1K2q12riP+vbta2zX0qVL= +fHHH/nuu++MF/D06dNRq9UcP34cg8GAg4MDn332GWFhYTz33HPs3LnzMSG4Zs0arl27xvDhw8n= IyADg+vXrDB06lFmzZhEUFMTp06eZPXs2NJrk169fj1qt/sWHZ2VlJWPGjGHHjh0AhIeHs3btWg= YMGMDRo0fZtm0b48aN4+bNmwDMnz+f/v37M3bsWE6fPv1YeSdPnmTQoEFs3rzZ2Ne7d+8yfvx41= Go1cXFxAGzfvp1OnTrx9NNPExMTwzPPPMOiRYtISkqie/fuXL58GYC33noLtVrN0aNHMRgMzJo1= i6tXr6JUKtFqtajVaiZOnMizzz77WFumT5/O9OnTjW/mVlZWvPfeexw6dIjAwEDOnDnDzJkzycz= MJDo6GrVazbPPPkt6ejoAW7duRa1WM2XKFNauXcvkyZOZPn06SUlJLFy4kA0bNrB48WLGjBlDVV= UVBw4cMIqVLVu2oFareeONNygoKGjSruXLl/PKK68wduxY47Ivv/ySbt26kZGRwahRo1Cr1Wzev= JlLly4xZMgQlixZwtdff828efM4d+4cgYGB/Pzzz7zzzjsMGDCA9PR0Bg8ezLlz5xgzZozx+J89= e5Y+ffrQpUsXTp06RXx8PL169WLr1q38+OOPjB49msLCQr766ivUajWTJ0/+p6L4woULlJaW0q5= dO+rq6li2bBmvv/46UVFRvPPOO7z55pvs2rWL4OBgpkyZwpIlSzhz5gzh4eHs2rWL+vp6YmJi8P= PzIzQ0lG+++QaA4cOH88477wCwYsUKLl68yPDhw3n33XfJz8/nnXfe4eDBgwghiI+PR61WM3jwY= BISEoiLi6Nz587s3LmTzz77jIEDBz7Wbo1GQ21tLd7e3uTk5KDX66msrMTJyQmlUmm8Rg8cOACN= 956FCxeyd+9eQkJCuHbtWpPyTp06RXV1NVOnTsXExAQTExMmTpzIwIEDkSSJ2bNno1arWblyJQa= DgZkzZzJ58mQ2bNiAv78/CQkJzJkzh2+//Zb169fTv39/NmzYwFNPPcXRo0fZtGkTr7/+ulEQvv= nmm6jVanbv3s3q1asZMmQIq1atYvbs2RgMBrZv345arebtt99Gp9Oxe/dutm/fjkajoaamhnnz5= tGrVy+mTJnCqVOnSEtLw9vbG1tb28f2VXFxMZ06deLevXsAnD9/nm7dunHp0iW6dOlCz549OX78= +C+eH+vXr+dvf/sbAC1btmTw4MFER0cDcPToUdRqNaNGjWLnzp0MGTKETz75hJUrV3L06FGWLl3= K6tWr+eyzz3j++efJycnhwIEDPBj4iYuLQ61WG/s+a9YsnnrqKSIjI9m1axfffvste/bsoW/fvs= TExJCamsqAAQMAiImJoXv37vTq1YsrV66wb98+Y18e3I/+HZ6QuJEe/l80CAKFQsGV5BR++OY7M= MA333zDsWPHmDJlCmFhYXTo0IHAwECeeeYZVq9ezYEDB/D28iLyeCT79+ynXqNttAI1DAmVlBbz= /bc/MHToUD788ENat26NwWBg8eLFrFq1Co1GQ+vWrfnoo4/o27sPmzduoraq2jicdGjfATLSMli= yZAlDhg7FxsaGvLw8Fi9eTEpKCtbW1gwfPpzPPvuMjPQMYmNjUSgUKCSJ3Oxs1q1Zy8iRT/PJJ4= txc3Pj5MmTzJgxg/fff5+EhARcXV1ZuGgh/fv15+cdu9DX1zc4LsMvOiY/ysmTJ/n73//O2LFj0= ev1ODk5odVqKS4uJjk5mfnz5xMSEsLUqVNZsmQJZWVl+Pv7s379eiZOnEj37t2blOft7c3IkSO5= c+cOOTk5aDQannnmGd577z3eeustnJ2d+frrr0lISMDU1JQJEybg5eWFt7c3HTt2JC8vj5qaGpK= Tk5k3bx7Dhg1j1KhRfP755+Tn59OiRQsiIyN59dVX6dixY5Phh5qaGhwcHPj666+ZM2cO5eXl7N= u3jylTpnD16lWGDBnCV199RefOnfnggw9YtmwZe/bs4fr167Ro0eIxi8dTTz1FeXk5hYWFhIeHc= /XqVQICAggLCyMhIQEhBLdu3SI8PJydO3eybNky3n33Xbp27Urfvn25fPkyV65cYePGjfz88890= 6tSJS5cucfjwYdauXcvFixdRKpW8//77dO/eHR8fHywsLJgxYwahoaGkpKRw8uRJunTpwmuvvYa= lpSURERG0adMGd3f3Jmbge/fucezYMaZOnUrXrl25fPkypaWlTJ48mVWrVjFs2DDatm1LSEgIQ4= YMwcPDg9WrV3Py5EmuXr2Kvb09e/bsadL/zZs34+HhQUVFBfX19axevdooRG7evElqaiphYWHk5= +czYMAAOnTowE8//YSNjQ3t27dvUlZ6ejo5OTmo1WrCwsLw9fUF4OOPP2batGmEh4ej0WjYuXMn= 169fJyYmhl69eqFSqQgODiYsLIwFCxYwYsQIioqKGDZsGB07dmTlypXY2dkhSRLPPPMMbdq04ez= Zs7i7uxMVFcXYsWMJCgpq0paIiAiqqqoYPXr0w7uIJGFjY8OECROM51CzZs04fvw469ev5+zZsw= wZMoTi4mLmz59PQkICV65cQa/X4+/vz4IFCxg1ahRTp05l9OjRdOzYkXfeeYfy8nKqq6vp1q0bX= bt25fvvvyclJYV361bQAAAgAElEQVTjx48TEBBg9MugUYimpaUxa9asJu21tbUlPz+fjz76iI8+= +oirV6/y888/4+TkRJ8+fYzHv7y8nFWrVvHWW29RWlrKuHHj8Pf35+OPP6Zv377MnTuXV199lfP= nz5OYmMh3333Hli1bOHLkCCtXrsTV1RVPT08sLS25dOkSnp6e1NXVcfjwYY4fP86GDRt+cbjz5s= 2bJCQk0KpVK1QqFebm5vTv35933nmHTz75hFdeeYUXXniBWbNmMXv2bCRJIi4uDqVSyejRo7Gws= MDV1ZW9e/diZ2fHzp07ycnJYcmSJUyYMIHCwkIKCwtJSEggODiYmTNnsnDhQrp06cLYsWONx/zB= vnnvvfc4cuQIzs7OdOnShdu3b2NnZ0dZWdljbX/gYzJo0CCOHj2KRqOhvr4ec3NzfH192bJlC9u= 3bycuLo6rV6+yZMkSioqKKCgoICQkhJycnMfOrV69euHo6GhcZmVlhUqlYuTIkXh5eREfH8/+/f= vRarW88sorSJJEZWUlzs7ObN26FUtLSzQaDZMnT8bPz487d+7g7u7Ovn37SExMxNPTk7KyMsaMG= cOQIUNYtmwZGo2G/v374+npyaVLl6Dx5Wz37t0cPnwYJycnVCoVvr6+BAUFoVKpGD9+PMHBweze= vZvo6Gh69uxJamoqHh4eWFhYNOnXrVu3aNOmDXZ2dty4cYP6+nqEEGRnZ/PRRx9x8uRJ1q1bx4E= DB4wvoQ/QarVcvXqVHj16NFnu5ubGwYMHiYyM5MKFCwwbNgx7e3t69OhBbm4uycnJmJmZMWDAAA= YNGsS0adMwMzOjqKiIgQMH0qlTJ7Zt28Z3333H1atXee211ygrK2Pp0qVGYderVy+srKyYOXMmA= wYM4Nq1a/j5+TFu3Dji4uLYs2cPe/bsYdKkSRQUFHD06FF27txJbGzsY+39PfwveBQqkFBwJ+MO= P6z6DifH5ny+7HNefPFFJEl67E33geNtz5492bt3L/369uN01CkSE86jUqoQigbH4RMnTmBubs6= 8efNo1qwZQggyMjLo06cPgYGBxhPc0dGRadOnYdAKYqJjUSpNyM3JI+Z0DCqVis2bN7N//3527N= jBc889R0JCglGgSJJEr969GDVqFEcOHKG2uhaDQXDmdAwODo58+OGHSJLEl19+yfPPP09CQgInT= pzgpZdeYvny5VhaWjL1tanGYReFssFx+V9RVlZGYmIieXl5/OMf/8Dc3JyCggLMzc15+eWXOXv2= LDqdzviAd3NzY8WKFezevZvWrVuTmppqvLk+wMLCgsjISMaPH8/27dtZvXo17dq14/Lly8YbQps= 2bbC1teXChQt4enpSVVVFZmYmrVu3xtPTk0mTJhEbG4tOp6O4uJicnBw8PT3ZtGkTERERNG/enH= v37tG+ffsm4mbRokW88MILnDt3joKCAtRqNaNHj0alUhktGXv37uXZZ5/l4sWLZGVlsWnTJgoLC= 40X/qPExMQQEBDAkiVLqKysxMHBAaVSSVpaGvPmzWP79u2sXLmSuXPn4unpSXl5Oc2bN+f+/fv4= +flhY2PDe++9R0BAAFu2bKF37964uLhQU1NDfHw8H3zwgdH6c+zYMZ566ikuXLhAs2bNGDduHNn= Z2Zibm5Ofn4+Pjw/Tp0+nvLwcMzOzx/xldu/ezZEjRwgNDcXa2ho3NzdeffVVvvzyS3x9fTl79i= zjxo3j7t27mJqaYmJiwubNm1m2bBn19fXU19djb2/fpMwXXngBSZIICQlhxYoVTJgwgby8PKqrq= xFCMGXKFHJzc4mPj+eZZ57hxRdfJDs7Gy8vr8ccMX/66SdGjRoFjQ+A4cOHc/36dXx8fOjduzdP= PfUUHTp04PTp09jY2LBmzRqUSiWdOnXi5MmTnDlzxrjs/v37tG7dmtdee41BgwYRFhaGEILY2Fj= c3NxYu3YtZ86cwc7Ojrt37xIY+LjP2aMPn0dJTk7G1dWVzz//nOnTp3Pq1Cm6du3Kxo0bKS8vN1= 4L33zzDdnZ2djZ2eHl5WUUPzQOQ4wYMQIXFxfc3NzIyMggPj4enU7HqVOn6NixIz/++CPW1ta0a= dOmSf22tra/6Ltw9epV1Go1/v7+FBYWYm1tjRCCuLg4NBoNAwYMoKioiI8//pjNmzczbNgwYmJi= yM/PJzw8nPj4eGbOnElCQgIzZswgISGBp556ilatWpGbm0uLFi2or6/nxo0b5OTkMHHiRDw9PbG= 3t2fZsmXExcU1EWIPKCkpYfv27aSkpPDDDz/g6uqKwWDg5s2beHt7Y2pqSlpaGv7+/ri4uLB582= aCgoI4evQoPXr0YNOmTcZzwd/fn/DwcIQQNG/enDlz5rB161aee+45IiMj6dChA0II7t27R2hoK= ABr164lNDSUmJgYFixYYHQSb9asGTY2NmzevJnWrVvj7e3dxBr2gNzcXBwdHenatSsJCQncv3+f= +vp6Dh06xEcffURgYCAajQYzMzM8PDzYsmUL7u7u9OnTh6SkpMesQUqlEisrq8fqiY2NxdzcnOn= Tp6PVao0i8cqVK9TU1NCzZ0/S0tLo3r07jo6OBAQEUFRUREJCAt26daOwsBAXFxfGjRuHubk5UV= FR6HQ6SktLiYuLo1evXgghKCoqYt68eSxdupQ1a9bw1Vdf4enpybvvvotWq+XatWs4OTmxYcMGe= vbsyYQJE7hx4wYjRoygqqqK7OxsvL29H2t/YmIiISEhBAUFcffuXU6fPk2bNm04d+4cL774ItbW= 1pSXl2Nra/uYn9nevXsZP3688XtBQQE///wzgYGBRERE4OLiwtq1aykoKKBr166kpaUREhLCxo0= b6d+/Pzt37mTs2LE4ODhgZWVFWVkZ27Ztw8XFhcuXL7N06VK0Wi3Z2dkEBARw6tQppk2bBo3+a3= 379sXExAQ/Pz+Ki4s5dOgQ7du35/Dhw1haWrJnzx6jNeftt98mIiLiMYH2e3mi4qZh+rVEXa2GI= 4eOUlJcwqxZs3j66acxMTF56NzbiMFgaLKslYcHCxYswNPDkwP7DlBRVo6ERFVNFZcvXWb0qFHG= g67X65k7dy779+9n165dfPrpp8Zy/P0D6NK1K4nnLlBXpyEtLR2VyoSPP/4YnU7H+++/z5w5c8j= MzGTGjBnMmzcPHx8fAMzNzRk+fDglxSXcu3+P6poabt7MYML4Cbi7t+Tq1ats376d1q1bs3HjRj= Zs2EBwcDArVqzgwoULRhNqXGzcbxqWio2NNfqdeHp6Eh8fT0ZGBnv27KFdu3YkJiZSUlJCVFQUr= Vu3Jj8/H1NTU4KCgjh8+DAnT5587MERHR3NmDFj6NWrFzSaDJ2cnLC2tjYKQ1NTUwoLCzl27Bj9= +/enrKyM2tpaWrRoQVRUFN26dTMKlO3bt9OvXz9u3bqFi4sLfn5+HD58mKioKHx9fZsc04sXL9K= 8eXOUSiUtW7YkNTWV27dvExYWxv79+6mrq2PFihUMGDCAc+fOMWzYMHQ6HcuWLUOhUODq6tqkL3= v37uWtt96ioqKCxMRERowYQWxsLOPGjTMKofPnz9OuXTtSU1NZv349kydP5sqVK9jZ2WFubs7Zs= 2cxMzPD29sbvV6PnZ0dHTp0ICcnBx8fH+bPn095eTlZWVkMGjSIK1eu0KNHD65du8Zrr72Gh4cH= 9+/fJzg4GKVSaTTRP+rwXVJSQlZWFt27d+fcuXMUFxdjMBjIz88nJCSEbdu2ERERwdChQ0lPT8f= CwoKioiJUKhXu7u4cPnyY8vJyQkJCmvQ/Ly+PqqoqcnJy2Lx5M6+//jo3b97E0tKSl19+mdjYWD= w8PMjIyODpp5+mqKiIRYsW0apVqybiprKykpiYGBwcHMjOzjb2NS0tDXd3dyoqKvjkk0+oqqqis= LAQvV5PYGAgWq2W1NRUAgICeOGFF7h16xYKhYLi4mL8/f2prKwkIiKCgoICLly4QMuWLamurqZN= mzb4+vqyd+9eEhMTadeuXZN+dejQgZqaGn766SfjsvPnz5OcnMylS5d47bXX8Pb2pri4GEmSqKu= rw93dHQcHByIjI5k0aRIVFRWEh4fj4uKCjY0NW7ZsoVu3buTn55OTk2MU/R4eHnz++ecoFArMzc= 0xMTGhsrLS6Kz5ID7Xg2NqY2PDokWLjMvS09M5fvw4d+7cMYqFV199lc6dO5OVlUVYWBhz584lJ= SWFV155hXv37uHj44ONjQ3l5eXMmzePzMxM2rVrR9euXblx4wYDBgygvLwcDw8PSktLmT9/PoMH= DyYlJYW+ffvyzDPPGI/NyZMnadeuHYWFhaSmpjbZj5WVlaxevZqxY8eyfft2evToQdu2bY0PyZY= tW6JQKDh48CBdunQhPT2d1q1b89JLL0Gjn050dDQjRowgOTnZ+LLy448/4uXlRVlZGdnZ2bRq1Y= qffvqJ0NBQCgsLuXbtGl5eXmRlZVFQUICvry9CCNzd3dFoNPz444/4+/sTGRlptNafPXuWvn37P= nYPjImJoXPnztjY2DB06FDef/9944tbhw4dqK6uZt++fXh5eVFQUEBtbS0jRozg/PnzvPLKK4+V= FxAQwOHDh8nKyoJGB95Tp05x4cIF+vTpg0ajYfPmzXTp0gWVSsXVq1d56623iIuLY968eQQHB6P= RaPDx8WHz5s1Mnz4dS0tLfH19mTt3Lqmpqfj6+nL9+nXc3d1RKpU4OjpiMBjYtWsXkydPpmPHjh= QXF5OWlkbLli05dOgQaWlpaDQaioqKCAoKYuvWrUybNo3k5GQWLVrE2LFjyc3N5d69e+h0uib+L= ZWVleh0OhwdHfHw8ECr1bJ161Z8fHyorKzE09MThULB8uXL6dSpE9bW1sZta2triYqKYsKECQBc= u3aNefPm0a9fP9RqNZWVlcbr3czMjPj4eIKDg5k8eTIA2dnZAHTr1g1TU1OcnJxYtmwZ7u7u6HQ= 6nJyccHFx4euvvzZuu27dOsaNG4dGoyE5OZnBgwdDo39VdHQ02dnZ+Pv7k5ubi1KpxM/PDysrK5= KTkzExMUGpVLJ///7Hju3vQjwBSkpKxAcLPhDbd+8SPx/cKz5d/plo4dZC9OzVU1RWVgohhKirq= xNXrlwRly5dEuXl5cJgMAghhMjKyhIXLlwQubm5QgghamtrxeLFi4WVlZWY/tY0sffwHrHmH38X= LVu5iw3/2GCss66uTnh4eIgHXjkhISFCCGEsd/HixcLZ1UVs/OlHMX7SBBESEiI0Go0oLi4WkZG= R4qWXXhJOTk6iffv24v333xc3btwwln3v3j3h4OAgZr0zW3y7/nvR1sdL7N+7TxgMBnH69GmhVq= vFwoULhU6nE3q9XqxcuVIolUqxcuVKIYQQb7zxhvBo6yl27d8tPvnsE7HhH+t/cb/t27dPuLq6i= hYtWghfX1/h7e0tevfuLQ4dOiTs7e1F27ZtxYIFC0R1dbUYOXKkCA0NFfv27RNBQUGiQ4cOYsqU= KSIsLEx8+umnTcrt2rWrSE9PN37ftGmT8PT0FN27dxd79uwRWq1W5Ofni/nz54uUlBRhMBhEVFS= UsLe3FwsXLhStW7cWXl5eYs6cOUKj0Yju3buLoKAgsWPHDjF48GDh6+srZsyYIcLCwkR4eLjQ6/= XGutasWSPatm0rwsLCxK5du8SXX34pWrVqJTp16iQ2bdokrl27JiRJEhMnThTr1q0TAQEBQq1Wi= w8//FA4ODiIK1euGMu6f/++aN++vWjbtq0YNGiQiI6OFjqdTvj6+orMzEzjeuvWrRNt2rQRffv2= FYmJiaK6ulrMnDlTuLm5iZycHPHGG28ILy8vMX78eHHjxg1RUFAgRo8eLbp27SrKysqEEEIkJye= Lrl27ivnz54vdu3cLd3d3MW3aNDFp0iQRFhYmFixYIHx8fISvr69YvHixCAoKEqmpqcY2aLVa8f= LLLwtfX18xevRoUVBQIGpra4WVlZXw9/cXr7/+uvDz8xMLFy4UK1asELGxsaKurk5MmjRJ+Pr6i= ilTpoiMjIzHzpFNmzYJOzs78eabbwp3d3cREhIivv32WxEVFSWEEGL48OHi6aefFhMmTBC+vr4i= NDRUvP7666Jfv36ipKTEWE5iYqJwcnIS69atE5cuXRKhoaHi3XffFRcvXhR+fn4iNDRUpKamitL= SUjF9+nTRtm1b0bt3b3Hv3j2xcuVKcfDgQSGEEOHh4SI4OFjs27dPODs7i7CwMLF7926h0WjE7N= mzRUhIiNi1a5fo0aOH8PPzE9OmTRNdunQRq1ateqxvV65cEd7e3sLX11f4+vqKBQsWiJSUFDF//= nyRnZ0thBBCo9EYj19oaKi4evWqWLNmjWjfvr0IDQ0Vb731lnBychIRERHCxMREzJo1S+zZs0e4= urqKb7/9VgghxKeffio2bNhgPO9HjRolfHx8xNChQ0Vubm6T81cIIXJzc0X79u2N7XrxxRdFYWG= hOHfunPi/7Z13dJTl1revaZlMS+8koaQQeqgiJQQpUkQ4iogKiAUFxWMFFHkFAfVTREURFRARRZ= RQBAKCCWDoLSFAaEkghIQQ0pPJZPpzf38MGUXAcg76ne+8c601ayWZ3PdT1zx79t7373fbbbeJ+= Ph48c033wiTySTeeOMNkZ6eLux2uxg2bJiwWq1i2rRpIiIiQnz22WfinXfeETU1NeLBBx8UR44c= Ebt27RKxsbHirbfeEt9//737/s7IyBDV1dXipZdeEqdOnRL19fXi0UcfFcnJyaJJkyYiLi5OjBw= 5Uly8eNG9n2fOnBHDhg0TBoNBmM1m8fbbbwuDwSBiYmLEoUOHRPfu3cXYsWNFXl6e0Gq1YvLkyW= LChAnuaymEEPv27RN6vV7MnTtXpKamim7duon4+HiRlpYmLBaLWLdundDpdKJfv35i+PDhomvXr= mLt2rXCx8dHfPLJJyIlJUX4+PiI5cuXi0WLFol27dqJtm3bivT0dGG1WkVSUpIwGo2ipKREDB8+= XNxzzz3ubRcWFoq+ffuK5s2bu+/nvLw88Y9//EM4HA6xbds20aFDB9GhQwfx6aefCpPJJN58802= xatUqIYQQ48ePF5GRke5nRyPV1dXihRdeEE2bNhXx8fGid+/eYu/evaKiokJER0eL2NhY8dJLL4= mamhpRVFQk7r//flFRUSEefPBBYTQaxZEjR0RMTIz44osvhL+/v/s6b9++XdjtdpGcnCwmTZokN= mzYICIiIkT79u3FRx99JC5cuCAiIyOF1Wp1fyaMGjVKxMfHi1mzZomamhpRVlYm/P39xYcffiju= u+8+ER8fL0aNGiX69esnevbsKZYsWSK6desmsrOz3c+yzMxM0a9fPxEREeE+1pSUFLFo0SLhdDr= F6tWrRceOHUV8fLxITU0VFovFfS7Ky8vFY489JgwGg/vzq3v37mLjxo3CZDIJo9EoXnjhBdGiRQ= sRHx8vcnNzxZQpU9zXQwghtmzZIuLj48WyZa7n79tvvy2WLl0qhBDi6NGjonfv3iIuLk6sXLlS6= HQ6MWfOHBEbGyu6du0qjh07JoYOHSpGjhwphBBi586dYtasWaKqqkpYrVbx9ttvi2bNmon4+Hhx= 6tQp8frrr4vo6GjRpEmTa54F/wq3PLhJ+X6teOqfTwudTis+/9z1UC8pKRGPP/648PPzE8HBwWL= o0KHizJkz4uuvvxbR0dEiMDBQxMTEiNWrVwun0yl++uknER0VJbp27yLWpK4Vny1fLJpENhFffP= GFe5sWi0UkJCQImUwm5HK56N27txC/CG7mzJkjQsNCxIpvvxajxzwgunTpIiwWq/t9p9Mpjh8/L= iZOnCgCAgKEn5+fmDx5ssjMzBR5eXkiICBAPDvlOfHx55+IFrExYuOGDUKSJGEymcT+/ftFTU2N= e64FCxYIpVIp3nnnHSGEEJOemiiim0eLlA1rxew3bx7cePhttmzZIt57771bPu+cOXNEdna2KC8= vFwkJCWLOnDm3fBu/xmazCaPRKKqrq8WYMWNEbW3tX75NDx48ePjfyi1dFycDnE4HpSWX8fLyok= uXLtjtdtauXcvatWuZOnUqrVq14tChQ+Tk5PDss8/Svn17nn32Wfbu3UtNTQ2SJBEVFYV/QABlp= WWYzQ2o1d7o9XqysrIYO3YscrkclUrF22+/zfjx49HpdEybNs29H42p9IiISFcaLSSYvRm7uXzZ= 1TficDj48ccfKSkpYfDgweTk5HD58mWys7N56KGHaNGiBTa7jeDgYDQab3R6PYcOHeauYcMoLCz= ko48+IjAwkKlTp2I2m9m1a5e7VNTQ0EB1VTVh4WEo5PI/6i/h4Rc09lMtW7aM9u3b3/L5G2vVOT= k5vPjiiwQFBd3ybfya/Px8Fi1ahF6vZ/jw4TdcCeHBgwcPHm4NtzS4kZBASBiNdeh0esLDw7Far= Zw9exZJknj00UcJDg5m8ODB7Nq1i8rKSnr27Mndd9/NgAED8PLyQi6X4+/vT0BAAMWXi7GZrfj6= +dOhUwc2btzIpEmTSEhIQC6X07lzZ9RqNRqNhjZt2riblU+cOMHBgwfpP7A/arWauLg4bHYHq1a= tYtq0aTgcDnJycvjmm2+w2+34+/vz7rvv0q5dO3788Ufee+89AoMCado0Gi+1F/Et41idspoJT0= wgNDQUPz8/li9f7u5YP3XqFBMmTKB79+6cOHGC48ePM+iuIcjl8qsCyZ4I58/idDoZNGjQDRsD/= 13efPNNTpw4AVebR3+5YuevIioqir59+yKE4N577/3Lt+fBgwcP/5u5dcaZjVYLclAolW6paL1e= j1arxeFwUF5ejsFgIDc3F7PZDL+QhM7Pz0cmk9GqVSvsdjsWiwW1lxcKhQK5DPr370fGzgzeffd= d5s2bR0BAAA6Hw/1qXHVVXlbOhws+RKFS0iu5D06nnfCIcPoNuIOPF35M99u6k9w3maeeeoohQ4= bw0Ucf8eCDD9KzZ0/kCjnNWzRHkiSGDBuKVq9FSII+yUnsTN/B3LlzmT9/Pq+//jpxcXFs2rQJg= 8HAe++9x/Dhw7FarSxevBiZUk6nrl2wSw6EJ67508hkMhISEkhISPhL5u/WrRvdunX7S+a+GXq9= nnvuuedv3aYHDx48/G/llov4yWVyQkNCMJlM5ObmuvUWoqKiuOeee7jvvvsYPXo0FouFQYMGsWb= NGoYOHcpdd93F+++/jxCCy5cvU1FRgZ+fH2pvNU7JSUBgAE9PfoqtW7cya9YsCgsLMegNTJkyhW= effRaNRkNRUREzZ85kx0/bGffIOHQGLRIul8y7ht9NdItoXnjxeX74YQuSJBETE8P06dPp2LEjJ= pOJjRs38eKLLxKf0JKk5CScdieSkIiIasKTT09i/fr1vPrqqxiNRiZNmsS2bdtYv3499957L7W1= tbz88sukpacxevRo1GovpN/xAf01+fn5fP3119doQUiSRHp6OpGRkQwdOpTz589fM2b37t3ExsY= SGRnJ6tWrbzivw+H4w6qxf5RG/5dGL5qKiop/e86vvvqK4OBgt0bEr7FYLBQXFxMeHk6zZs145Z= VXeOGFF/7UNmpqaqisrPxTY7KzswkICLipOBZX5cn79+9/wyXPvyY9PR1fX1+ysrKora39t5c8/= hq73U5ZWdkfVox1SoLvsyqIm3bouvfqzE5sDteNXGH842rGZrvElO9c9+r2UzVsP3W9vsm/gsUu= YbG7VpFMX1vAl3tLb8m8/y2szaxgW041YxefZknGZQAGzT9O+qnqv31ffjxZTcrhcmKnHuSnM7f= m+v+rWOwST3+Vx8QvXQKQTknw8Y4SHE6BJGB9VgUTv8y97jO7st7OwHePk/DKIXac/vkYDhcY+e= 5Q+d99GB7+BLckc+OylxTIZCBXKIlo0gQvLy+Xbk3fvvTt25cFCxaQmprq1ua488476dmzJ8uXL= 6eoqIj+/fszbtw45HI5x44do6qqiqTkJNRqb5xOJ0II2rRpw7hxY9m0aRNHjhwhOTmZqKgoJCHx= /vvvs2PHdqx2Kw89PIaWrVvidDpcJp0IVN4qHn3iUdanrOPFF1+kS5eu7iVz1dU1HDlyhOxjR2n= Xvj3D7h6GQq5wh34OyUnHrh159InH2bwxlayjWfRJ6kNoWBgI4dIcyPgJh8PB2HFjiW8ZjyScLn= +rq2fo96ipqWHu3Lncdttt+Pn5uf+enZ3Ne++9x9GjR0lPT2fHjh3X2AD07t2bQYMGMXDgQO6++= +4bzr1582aUSuXvSqr/GaqqqkhLS3ML5Z0/f56nnnrq35ozMTGRwYMHXyf4xlUV06VLl7J161b2= 7t1LixYtSE1N/dPLBdPS0qivr+eRRx75w2PCw8OZMWOGWy7gRvj6+nL77be7FZB/iyZNmvD8888= TERHhLs+OHz/+D+/P73HlyhW+++47Hn/88d/0t2rEaHGScbYWh/N6afVX1xbwSO8w/LVKnlmZT+= pzv398ABuyKrincxA2h6DaZKdbzL/fY2RzCFYeKKNZkJp+rfx5897mf2DU/x7MdokakwMZcLKkg= aSWrs+RrS/e+r6138PmkKg2OThzuYF6679my3ArOV9u4fTlBuJCXcJ4Zy6bifDzQi6HcqONjUcr= Mduu389HPz/L8I5B9G/jx/Q1BbSL1BFsUFFSY+W2Fn+fT5KHP88tCW4aH+CScAU4TZs3o0lEBCk= pKTz00EP07NmTAQMGkJyc7NZY4Rdy6zabDS8vL2QyGaWlpaSmpuJwOuiR1MvlvC1z6edIAjp160= J4ZATHjh9n9749bpsELy8vErt2on2H9oSEh1w1ymz0t5IhJAlffz9GPXg/Z0+d5fixE6zbsN5tk= BkcHMxDYx8ivmVLNFoNkkxyhyQymcv9u8ttnYiICOdY9jH27N+L3W5HSAJvjYZut3ejffv2hISE= ICkaTbZ++bo51dXVTJ8+HSHENXogNpuN1atXM2rUKIKCgtwy5b/EaDRSVlZGjx49mDdvHkFBQdx= ++8lGX6IAAB9HSURBVO28//77DB8+nDNnzrBo0SJmzpyJxWJh8eLFZGVl0aNHD8LDw1m7di2vvf= Yan376KT179mT9+vUsXLiQFStWIITg4YcfRq/X8/zzz6PX62loaODRRx9lxowZKBQK2rRpQ0pKi= ltIKyUlhc2bNxMdHc2zzz5Leno6P/zwA1OnTmX79u34+voybtw4SkpK+Oyzz1AqlZjNZp5++mkO= HjzIkCFDbniOcnNz2bNnD7Nnz3YHd/379ycuLg5JkkhLS2PVqlUEBgYyf/589uzZw9KlSxk7diz= ffPMNgwcPplevXmRkZLj3NS8vj/nz56NQKOjTpw9JSUnX6OwsX76cjIwM7rzzToxGI02aNOGDDz= 4gOzubO+64g9GjR7vv5Uahw0YNnPXr17Nhwwb69u2LzWZz+7cIISgoKCA4OBi5XM769esZNmwYA= CtWrGDHjh107tyZZ555BoCXXnqJiooKxo0bx4ULF9zmeZs3b6Z58+Zulc8lS5bQsmVLpk6dyrFj= x6iurkahUGCxWPjmm2/YtWsXvXr1Ij4+Hh8fHw4fPsy4ceNQq9X4aZXcnRjI5mOVfLXvCj+dqeH= ZAZF8c+AKa4+UU1Rloc7i5ExJAzPXX6BTMwMmq5Ptp6rx1Sp5uGcocpmMBT8W89ydkbRtouNStZ= XRt4VwocKCl1JOkF7FqZIG5m8twlsl55W7oqltcPD5rlK8lDJ6xvmi81Kw8sAVIgPUPDsgEpVCx= vQ152mwSfRv40+1ycGHacW0CNHQIVLPd4fKiAnRcPpyAznFJu5KDCTc14vle0p5+74WbD5exfZT= 1bSO0PJ0vybUmZ3M+6GIKpOdMbeH0reVHz/mVPPdIZf9wj8HRBKkV7JyfxndY3z4cm8pQzsEUl5= n41CBkUeTwgnWq9h8vJLYEA2p2ZWM7BpM5gUj58rMPDcwkjZNdCzbXcrevFoCdCrG9wqlTRMdk1= bkcXdiIGuOlDOiUxB3tvVn4fYSDN4uE8cJfa41yX3+m3zqLE4Sm+p5tFcYZ0rNfHvgiuu+bxNAd= YOdtJyfszFP39EEhUJGdKCavq382JbzczbwnyvzeWlwFD7eCj7dWULeFTNtm+h4/s5IdpyuYdWB= Mny1Ch5LCqe2wUH6qWoiA9QcOm/k+YGRxIVqeHHVOZoFe9MuUkefln58mH6J40X1JLX0Y2yPUFI= Ol5N/pQF/nYqn7oiguNqG1kvO1CFRrNx3hV1na/lq3xXuaOWPxS6xL7+WgW0D6NxUzzs/FDGoXQ= D3dP65sT/zgpEzl82cuWyipsHJY0lhJEbrmb2hkMJKC4nResb3CnOfP4CMszWcKDahkMvILTXzZ= HI4CeFavtp/hf15dXir5MivtgmU1FhpGaZFLpOx80wtOrUCxa/qGJeqrWScrWHG3U1pGabF5pDY= l19Hj1gfbA6B3vv/rQGnh9/mFmVuuFqSkqGQKwgKCSG5f18WfbSI1157jaVLl9K8eXO3kN8vaRT= WurosnRUrVrBlyxb69O1D8xYtEEJCIVMgk4EMGShkRDdrSmTTaO4c4sQpOUGAQqVAIVcib8wi3W= RffX186HJbNzp164rTKSFJEnKFa78VMpejOQgaf3KhcEVwMhlRzZsS2SwaySnhlJwISaBUKFApF= a6ASggQAplcBnIZcrnympluxLRp05gxYwbz58+/xjCz0eG4e/fuOBwOCgsLadq06TVjMzMzGTBg= AL6+vnh7e3Px4kX279/vlvFu2rQpo0aNctseBAQEMHv2bB555BHeeustwsPDefjhh5HL5YwcOZK= wsDDeeOMNIiMjKSsr49y5czzwwAMsWLAASZLYsGEDUVFRtGrVim7duhEXF4cQAr1ez4oVK8jKyu= L1119n/fr1rFu3jqSkJF5++WV69epFTU0NxcXF2O12Jk+ezIQJE/D29uaZZ57h+eef59KlS9eoa= DYiSZLb4uKXCsbe3t60bNmSrVu3snz5cmbOnMnSpUtZuXIlnTt3pry8nJSUFCZMmMCqVasYMGAA= JSUlBAUFcejQIT755BOmTJlCaWkpX3/9NYMGDYKrQWWjpcfMmTOZP38+PXv2ZMaMGcTGxjJhwgQ= OHz6M2Wx2BzdZWVkkJiZiMBj44osvyMnJ4dVXX+X99993K7lytVH6zJkzdOvWjcDAQPe5W7hwIY= WFhbz88stus7+BAwfy7LPPYjabKSwspFOnTnzwwQe0adMGSZI4ePAgLVq04L333uPVV19l/vz5y= OVytFotWq0WmUzGa6+9RmhoKLNnzyYpKYm0tDQiIyOJioq6TsW0wmgnu6ie+DAN32dV8HS/Jmw/= VcOTyRGcK7fwpbmUgW39eeHbc+RfMZP1emc+2HaJZbtLmTGsKTNHNCPYoOLAuToM3q6PlpoGB5I= QaL3kDPvgBEsfacnWE1V8tvMyy3Zfxl+n4t37W+CnVfLw0jOkT+nAgh+L+Sj9Elq1HJVCTp8EH7= 7ae4WPx8aRcbaGf3QKYtnuUj5IK+atkc0Zc3sog949znsPxFBcZeXhnmFknK1lxd5SljzSkinfn= ePbg+Xsy6+la3MDVSYl/2fLRZoFeZNxtobnBkaScaaGCV+cpUOUnm8PltGthQ8vDorkqRW5TO7f= BKck+GR7CV5KGWuOlDOkQyD3dg7ioc9Os/zxBDJya9l0rJKSGhvnyy3MGtGM3bm1zNl0kXqzg7R= T1dQ0OOjSzMAPx6tITvCjpNpKkEHFgfN11wQ3r62/QOsIHd1aGJi1oRCVXMbsDYWE+3nxzv0xdG= tuoNvsLBaPj2d9ZgVOAa0itOzJcz2klfKfP2+mrylgacZlHksKJy2nCptT8D93N2XUolMolXL25= tYy995mbDxaydTvznOlzsapkgYm94/AV6Ng5+katuVUE+SjIvtiPZX1do4Xmzhb2sCEPuE89805= EsK1HDxXR8emehb8WMxTd0RQbXKVMDUqOTaHRFGVhTta+/P69xfYOa0DhwrqUCtlRAWq8VLK6Nf= 652x1Zb2dSSvyyC8zM//+GHaeqeHAuToyztZitDp56o4I3ki9SNfmBrpfzQieKDYxY+0FjhfXM7= FvBBa7RN4VM7mlZlIOlTNzeDOeX5WPJEG1ycH5cgvNg72vjq2nZ5wP239VuqtpcGK2SyRGuwTx1= Eo5RrODyzU25HIZgbo/74Du4e/jFmVuZBjr6ti3bx9eShVh4eH07N2b8wUF/JS+k+nTp7tt2eVy= +XUBjiRJ1NXVsWTJYubOnUuz5s0YNvxuKsrLyc/NRdHo7I0MSSb72af7mm7dq9mRq5ke2U2yJS4= bTNmvVjCJq8U12dUGYHHVF0q4x/zy/2XXjQVJJtzvyYS4WqqTUVx0ieCkGy81djgcTJs2jYEDB3= L27FnKysoICQlxv28ymWjSpAkBAQHY7XaKi4vdSo9cfVDu2LGDO++8E0mScDqdFBYWMm/ePF555= RUmTpxIWloa9913H3V1dZw8eZIpU6YwatQo3nrrLerr6zl69CgbNmwgICCAHTt2UFFRwZAhQ4iK= iuK7775j3bp1zJ07l/79+7N582YSExPd6sbJycnu7MNzzz3ndoBt2rQpoaGhVFdXc/78eXr27Il= CoSA8PBx/f39mzJjBiBEjGDx4MGvXrmXEiBFuw7ybSfI3yqX/+oHscDj45JNPmDVrFq1atSIkJA= SbzUZBQYHbb6i4uBiFQkFZWRnHjh0jMTGR+fPnM2bMGFq3bs25c+dISEhwL88+ffo0ly5dYubMm= Xh7e+Pl5YUQAoVCQXJyMh9//DFJSUnukk9j8NWqVSvq6+v54YcfWLBgAYGBgeTl5V3jU2SxWNi3= bx8PPvggDoeD1NRUJk+ejNFodJeq5syZw4oVK9y9agsXLmTChAkUFBTQsWNHgoKCMJlMDBw4kMW= LF/M///M/JCYmsnLlSrfXlq+vL7t376awsJB33nmHgoICmjVr5i6t/dq3BiDIoGL+/TEs/ukymY= VGwny98FLKCPX1osbscGdYJvWN4FiRiegAb8b1DOWDtEuYbRLRgS6n+nKjnf5t/JEEXKiwEB3oz= ZbjVTTxd2UV+rZyPciSWvry2U8lDGoXwJJdlymttTFg3nEABrcP4LmBTdl5uobZGwuRy2T465To= 1AqCfVSMvi2EwxeMyGUygg0q4sO1HC8yofdW4KNRsDG7kiMX6t3zdW3hw8lLJqYOiSI2RMO0IdF= 8c6AML4WMdpE62kXqOFhgpF2UjoJyA5tfaMvJSw0kRuu5t0swdqfgYqWVB7uHUGa08+3EVvx0po= bkln50aWagRZA3VrvgaGE9zYO8iQpQ062Fgd15tbxxTzM6z8pk5vCm7D9Xx958GzIZHC82MbRDA= AsfurbcuS6zgsxZnVAr5YzsEsS+/DoWjYtjU3Yl/a6euyC9iiu1roeslxwkIahpcLgf2I28ObI5= y3Zfpspk51RJA3d3DKJZkDeHXuvEhqOVfFRoZOj7J5AhIznBl/5t/Fl9qIz/M7IFb6ZepKDCwn1= dg3lieS4T+4YzvGMQT3yZy4H8OnZc7aO6VGXFZHWy83QNix9piVMSXKyyuvdFrZLz0O2hJCf4sW= JPKQfPGbmncxB78+rQeino0twHtVLOxUorDklC66Xg5aHR7Dpbw31dg9mXX0tlvYP8MjMzhkUTE= 6Jh3eQ2WOwSFyosSEIQYlAxtkcoP55UMXN4M15bV8CpkgayL9bTI9aHzs303NbCh3qrgzqLg1Af= FbEhGoYtyGHBgzFsPVGN0eLkUrWVqADXfaxSylDIZdidApVChlNyZWsckiBQp+QGDh0e/oO4JcG= NXC7nYmERmzdvBgQxsXE8+fQkHhgzBpCxddtWiouLGTduHF27diUkJARvb1cvTXV1NcePHyclJY= X169fTul0bRj8wGq1exycff8KRA9c3OboQt26JtRD8mTv1Rh5ZN0Mul9O5U+cbvldbW0tERATbt= m1zy1YXFBS4ZeGVSiUGgwGFQsG2bduQy+XXNKwWFRWhUqmIjY3FYrGQlZXFvffei9FoJD8/n/Dw= cKqqqoiIiGDPnj2cOHGCjz76iDlz5hASEsL+/fsZP348fn5+OBwOCgoKMBgMDBkyhHfffZe2bdt= y8uRJBg0axOnTp1m9ejWPPfYYBw4cwGAw4OfnR1paGuPGjUOpVLoDmPPnz7Nx40ZeeeUVli1bhl= arZcSIESxcuJDExESefPJJKioqOHz4MAsWLGDZsmWcPn0aq9WKSnXjb0MhISFkZGRQXFxMixYt3= FpG3t7eXLhwgY4dO5KTk0NqaipffPEFO3bscLulL1y4kBEjRpCTk8OkSZOorKykoaGBTp06sWPH= DpYvX86MGTPc2zp58iSJiYlYLBbmz59PUVERCQkJHDhwgPLycoYNG3ZN31N5eblbMvzbb7+lX79= +eHt7s2jRIrdseyN79+6lSZMmOJ1O0tLSGD9+vNtV3WAwcPz4cXx9fTly5Ah5eXkUFxdz7733Eh= oaysKFCwkODqZ3795kZmbSvn17Hn/8cT788EO33YS/vz+1tbUkJSUxd+5c3nrrLYqKipg3b96f6= jP6PWrNrnJwmdGOj0bhTtEbLU7sToG3So4kBJeqrYzoFMSJYhMF5RbOl1toEezNsaJrG9yD9V7E= BGtY90wbAvUqzlxu4J0tRRRWWnkiOYI1h3+7eXNCn3AWbr/EPwdEEhrkTZBeRY9YH5Y+0hJJCK7= U2diYVcHpkgZiQzQcPF+Hn1bJhQoLVSYHATolNrtEhJ/63zovWrWczAtGHksKw+4QeCvleCmvX7= fhpZDz2vCmFFdZuWtBDtmv//wZ4a9TsvpQOWN7hFJvlYgMuH6fesT6kH6qmiCDimlDojFZnTgkQ= WzI9UErV7MOXko5Jy+Z6BXng9kucaXORkK4lo/HxhGoV1JQbuXA+brrxspl8N7oGFKPVfLymvME= 61WM6hbMm/c2p6TGhhCuwNhocfDYsrOsfLIVpbU2/tHp2i91l6qtAHRspkchk7Epu5IV+0r5+ol= W5F0x88WeUqrq7bSN1N3wOhi8FazNrGDq4Ciu1Nk4V2Yh5XA5ZpuTxGg9Vsf1PWMaLzkXKiwA1J= kd5F0xc6qkAZ3adb82DVTzzpYiCiosFFdZ+WrfFabfFQ1AfKiGzk0NrD1STp+WflgdgmGJgXz20= 2Ue6B5y3bY8/GehmNXoWf5vYLVaWb9+PWfOnEGSJGpraqirr6djl060bdsWnUZLZmYmGzduJCMj= g/T0dNLS0li3bh0rV65k1apV5Ofn0/uOJEaNHkVoWBgbv9/IzrTtbo+Nxpevry8jR47kzjsHkZC= QgBCC1q1bu0saRqORioqKa8Y0vuRyOT169CA0NJTa2lpGjBjBlStXuOeeexg+fDhms5mioqIbjp= UkCbVazaBBgxg+fDheXl5uz6TWrVuTl5d3wzFcLS80Pmh/iVarpUePHtx999188sknrFy5Ep1Ox= 6xZsxg4cCBqtdrdO3Lx4kWmTp1KaGgoAAUFBTz99NNkZmbSqVMn6urqKC0tZcKECaxcuZIjR46g= VqvZvn07drudrl27sm/fPndpMCwsjKysLAYOHEhQUBDV1dXs3r2bMWPGEBYWxvjx4wkJCeH8+fN= s2rSJM2fOkJ+fj0ajYceOHRQUFJCQkMCGDRs4fPgwAwYMICsri6+++oq0tDSeeOIJoqKiSEtLY8= mSJRQUFLB06VL8/f3Jysri4MGD5OXlkZ2djUajITc3l0uXLtG/f3+eeeYZunTp4s6kyGQywsPDy= c3N5csvvyQ1NZXU1FS3W3VmZibr1q3jxIkTTJ48mebNmzN//nz279/Ppk2bGDlyJIMHD2bhwoXs= 37+fvn37smbNGrZu3YpGo2HJkiW0a9eOzp1dD5jy8nLef/99Ll68yMWLF6murqZTp04UFRUhhMD= hcNCuXTuCg4MBOH/+vNvp3MfHh08//ZSzZ8+Sk5NDUVERvXv3dv/v7Nmzqa2tpU+fPnz++eecPn= 2a5ORkdu7cyerVq7Hb7bRt2xaz2cy5c+fc94lGo+HAgQMsXryYEydOsHLlSqKioqitrWXNmjVUV= VXRoUMHHA4Hc+fOJSoqitLSUrZs2UJubi779u3j3Llz9O3bl2XLltGmTRvUatcDpKbBwSc7Szhw= rg6zXeKnM7VkXaynbRMdP5yoIr/Mgp9WyeZjlVyps2OyShwtrGfnmRr259cxqmsIMmBaynlkV3v= jOjczsD+/jgabK60f6uNFbqmZz3ddZufVVSef7yolt9RM+ygdt8X4cLqkgWW7S9mWU0XLcC2Xqm= 1kXzRSXGXl5CUTapWcoioraSeruVxjY1N2JXaHoGtzA4nRej5IKybMx4u+rfyI9FeTfqqGNUfK+= TGnmu4xvsSGavgw/RI/na7h1OUGHukdxpELRpbtKmXriSqSW/lRbXKwIbuCOrOryXpvXh0Wu8Tm= Y1VcrLRyocJC5gUjMmDN4XIyL9bTYHPyw/Eqqhrs3NkmgIMFdaRmV3KwwEi/1v5sP1XDzjM11Fu= dnLls5kiBEZ1azoIfL1FhtKOUyxjRKYg3Uy+iVytITvBjzsZC9uTWYrJJjO8Vxox1F8grNdOlmZ= 4m/mpe+u4cQXoVdWYnW45XEWxw9SwmhGvdZT+T1UlOsYldubXIZTAsMZDFGZdJP1XN3rw6usf4U= FlvZ/meK6Sfqqaw0sr+/DpOFJtwOAWbj1Vy8pIJo9XJluOuklu7SB0P9wxj1YEyfjhezY7TNfRr= 7c+s7y+Qf8WMzSkINnjhrZLTIcpVzjFanKzcf4VtJ6p54PYQ+rT0w1erJOdSAw12ibs6BBKoV9G= vtT93JQaSEK7jrdSLHDxXh0LhKgPWNDgY0TmIT3eWsC+vjn3n6ugR68vDPUO5KzGQQIOKL3aXkn= mhHpVSRsrhCnJLzbw8NJrPd5WyL7+OkyUmNF4KLHaJUd1C0HjJGdI+kLsSA9F6ybE4JN4eFcP5c= jML0i4RF6qhZ5wvH6Zf4ofjldzfPQSNSs65cjN9Wvpx8eJFnnvuub9FJ8vDn0cm/mgK4jeora1l= 3LhxbNq0yZ3RUCgVtO+UyKRJkwgKDKC0pJSDhw5y+OAhKiqrqK+vRyFXEBoWSqvWrejVqxfNY2O= w222sXZ3C1s1baWhouG5bcXFxbtfQRx55hO+//55OnTqRl5fH4MGDGT16NNXVN172qFarmT59Ol= 27dmXatGnMmzeP77//nsjISI4ePUq/fv147bXXbrqsOSYmhtmzZ7Nt2zZatWrFu+++y6xZs4iJi= eG+++67oWOvQqFg3rx5PP/88795DhtdgZ1OJ5WVle7yVH19PUajEZ1Od42qrd1up7zc9W3W398f= uVyO3W5Hr9djNBoxmUxotVrMZjNqtRofHx8qKyvd5R1vb2/q6+vR6/UoFAokSaKhoQGNRoNCoaC= kpASNRoPT6cRms6HRaBBCIJfLkSTJPY/FYsFsNhMUFITZbKa+vh6lUklISAgOh4OGhgZ8fHyw2+= 1UV1ej0WjcS8h1Oh02m82lZXTVWdzHx4eysjKCgoJQKq9NLJrNZmpra92Bqq+vLxqNBqPRiNFoR= KPR4OvrS3FxMdOnT+edd94BcLt3V1dXYzabCQ4Opq6uDqvVSkBAAFVVVeh0OneZqfHcNpakGhoa= MBgM1NfXu8/xr69FZWUl/v7+yGQyKioq3K7fDQ0NBAYGXtN43HjNampqsFqtBAYGYjKZMJvN+Pr= 6otPpsFqtbsVuX19fVCoVZrMZHx8f93t6vR5JkjAajRgMBvfvFRUVaLVahBDU19e7e9qsVishIS= EYjUZ8fX3d59wpuUoaNodApZQhSQKnBL5aJSarE0kIdF4KjFYnSrmM77MqyC4y8epd0agUMvy0S= iQhqKp3YNC4ej68VXIabBIymavvAqDBJlHb4Mr4+GqV1DY4kMnAR6NE6yXHZHVSZ3atWAk2qLA6= JOrMTlcrG+CtkoNwLetVq2RY7a5yga9WiUoho8rkwEshc2eR6swOTFYJuQyCfbyQhKDCaEcI1zd= 6v6vH17jNQL0Ks91Jg1VCpXAVpR1O1zmxO1yLJWQykCTXvtgcEpIAL6UMm0OgkLuOy2yTMNsklF= f3rd7ixGqXUMhlyGSuObVecqxOgdMp8PaS46tRUmWyo1cr8FbJuVJnQ5Jc++mrUVJa6ypl+WmVe= KvkTPnuHC/cGQVA6rFKAvUqhrYPQK36+TwqFa4Cut0pUCpk+GuV1DQ43L8H6JRY7BJ1Fieyq1kO= m0PgcAq8lK5yjBCubFTj3300CnRqBVUmB1a76xiDDSoq6+3YnQKFXIZOrbjmulsdElX1rmsdpFe= hVLiy5IszLpPc0o/4sGuzTa7r5MApCTRecsw217nz0yqoaXDglFwlIz+N0j2X3em6hx1Xz6fF5v= piGerrRWW9HYdToFDIUCtdbQk+mmubgRslBvy0SuxOQW2DAz+ta/5yox2nJAjUqxAC7E4JnVqB3= W6noqLiGgNdD/85/GXBzdW+XJrFNmfU/ffTvkM7tHotTocTk6mBBrMZmUyGr58fapUXdpuN0qLL= rFu7lv3797tT9b8mNjaW2bNnU1RUxG233cb06dOJjY3lrbfe4v7772fPnj033U+1Ws2LL77IHXf= cwZEjR+jYsSPHjh0jLS2N9PR0wsLCqKqqwmq13nB8QEAA//znP0lMTGTfvn2kp6fz5JNPuh1Rd+= 7ced2YPxrceLg1VFRUsHTpUnQ6HRMnTrxpmcvDtfxzZf41Oh43w+aQKKmxYXNIhPl64aO5pSLnH= v4g58rMOK+KsgTolAQZvH53zH8KNQ0OyupshPh44af9//f++ebJVrSPuvUK6h5uDX/dnSVc5YQL= +QUs+vBj2rZvS5u2bYiMisRg8MFLrUaSnJy7kkfp5SucPX2ao5lZf0hgzWQykZOTQ0hICAkJCRw= 5coQTJ06wd+/e3+yHkclkOBwOUlJSGDBgAN7e3hQUFNC9e3cMBgO9evXijTfeuGlwo1arqaqqIi= MjgxEjRqBSqdDpdFRVVfHQQw+xZ8+emwZlHv4e9u/fT2FhIXFxcdTV1d20QdnDtXz4UOwf+r/SW= htLMi5zpc7GmNtD3atVPPy9vJJyHuNV/Zh+rf2v62/5TybjbC0ph8u4v1sIveN/X4fJg4d/hVuW= uRkzZgybN2/+zUZbtVqNwceARqNBpVLhdEpYzGbqTSYaTKY/1KTr5+fH4MGDMRgM1NbWkpGRgdP= ppG/fvjdV6G1EqVTStWtXKisr0ev1tGnThrS0NJKSkggPD2f//v1kZmbeVNlVq9Vyxx13EBERQU= FBAUqlkqKiImpraxkwYAArV668LjCSy+XMmzfvTyvpevDgwYMHDx7+NW5JcGM0GnnyySevrpa6y= Yb+xAqjP0vjvL9eYv7r7f/yf3/98++N5xfHcKPjuNlYhULBm2++ycSJE3/nKDx48ODBgwcPt4Jb= Etw4nU7Ky8uxWCw339BfGNzcKv6KfZTJZAQEBKDT6dwNnB48ePDgwYOHv45bEtx48ODBgwcPHjz= 8p+BJJXjw4MGDBw8e/qvwBDcePHjw4MGDh/8q/tRS8JycHLcLtwcPHjx48ODBw/8LNBoNLVu2vO= n7fyq4+e67726owuvBgwcPHjx48PB3ER4ezpQpU276vqeh2IMHDx48ePDwX4Wn58aDBw8ePHjw8= F+FJ7jx4MGDBw8ePPxX4QluPHjw4MGDBw//VfxfkrKy3GCTp2MAAAAASUVORK5CYII=3D" widt= h=3D"567" height=3D"140" alt=3D"" /></p><p class=3D"Default" style=3D"line-= height:115%"><span style=3D"font-weight:bold; color:#a5a5a5"> </span><= /p><table style=3D"width:459.25pt; margin-left:0.25pt; margin-bottom:0pt; p= adding:0pt; border-collapse:collapse"><tr><td style=3D"width:74.75pt; borde= r:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D= "margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; font-weight:bold; color:#76717= 1">Palabras claves:</span><span style=3D"font-family:'Times New Roman'; col= or:#767171"> </span></p><p style=3D"margin-bottom:0pt; line-height:115%; fo= nt-size:12pt"><span style=3D"font-family:'Times New Roman'">GeoGebra; educa= ci=C3=B3n matem=C3=A1tica; operaciones combinadas; estrategia did=C3=A1ctic= a; educaci=C3=B3n de adultos.</span><span style=3D"font-family:'Times New R= oman'">    </span></p></td><td colspan=3D"2" style=3D"width:= 4.3pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"= ><p class=3D"Title" style=3D"margin-top:6pt; text-align:justify; line-heigh= t:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-= weight:bold"> </span></p></td><td style=3D"width:347.05pt; border:0.75= pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margi= n-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'; font-weight:bold; color:#808080">Res= umen </span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-hei= ght:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; fon= t-weight:bold">Introducci=C3=B3n:</span><span style=3D"font-family:'Times N= ew Roman'"> En la Unidad Educativa Santa Marianita, ubicada en el cant=C3= =B3n Manta, se identificaron dificultades en estudiantes adultos de noveno = a=C3=B1o de educaci=C3=B3n general b=C3=A1sica en modalidad extraordinaria = relacionadas con la jerarqu=C3=ADa operacional, la organizaci=C3=B3n de pro= cedimientos y la resoluci=C3=B3n contextual de operaciones combinadas. Esta= s necesidades orientaron el dise=C3=B1o de una estrategia did=C3=A1ctica me= diada por GeoGebra, dirigida a favorecer la visualizaci=C3=B3n de procedimi= entos, el an=C3=A1lisis de errores y la retroalimentaci=C3=B3n durante la r= esoluci=C3=B3n matem=C3=A1tica. </span><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold">Objetivo:</span><span style=3D"font-family:'Tim= es New Roman'"> Evaluar los cambios observados en el aprendizaje de operaci= ones combinadas antes y despu=C3=A9s de la implementaci=C3=B3n de una estra= tegia did=C3=A1ctica mediada por GeoGebra en estudiantes de noveno a=C3=B1o= de educaci=C3=B3n general b=C3=A1sica en modalidad extraordinaria de la Un= idad Educativa Santa Marianita. </span><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold">Metodolog=C3=ADa:</span><span style=3D"font-fam= ily:'Times New Roman'"> Se desarroll=C3=B3 una investigaci=C3=B3n aplicada = con enfoque mixto de predominio cuantitativo y dise=C3=B1o preexperimental = de un solo grupo con mediciones pretest-postest. Participaron 28 estudiante= s adultos. El desempe=C3=B1o se evalu=C3=B3 mediante una prueba objetiva de= 20 =C3=ADtems aplicada antes y despu=C3=A9s de seis sesiones de intervenci= =C3=B3n. Posteriormente se administr=C3=B3 una encuesta de satisfacci=C3=B3= n de 20 =C3=ADtems y se realizaron entrevistas semiestructuradas al rector,= vicerrector y docente de Matem=C3=A1ticas. La propuesta did=C3=A1ctica fue= sometida a valoraci=C3=B3n independiente por cinco profesionales. La norma= lidad de las diferencias se examin=C3=B3 mediante Shapiro-Wilk y la compara= ci=C3=B3n entre las mediciones mediante la prueba de rangos con signo de Wi= lcoxon. </span><span style=3D"font-family:'Times New Roman'; font-weight:bo= ld">Resultados:</span><span style=3D"font-family:'Times New Roman'"> La pun= tuaci=C3=B3n media pas=C3=B3 de 5,54 (DE =3D 1,04) en el pretest a 7,80 (DE= =3D 0,86) en el postest. Veintisiete de los 28 participantes obtuvieron pu= ntuaciones superiores en la medici=C3=B3n posterior y uno mantuvo la misma = puntuaci=C3=B3n. La diferencia fue estad=C3=ADsticamente significativa (</s= pan><span style=3D"font-family:'Times New Roman'; font-style:italic">W</spa= n><span style=3D"font-family:'Times New Roman'"> =3D 0.00, </span><span sty= le=3D"font-family:'Times New Roman'; font-style:italic">p</span><span style= =3D"font-family:'Times New Roman'"> < .001), con un tama=C3=B1o del efec= to grande (</span><span style=3D"font-family:'Times New Roman'; font-style:= italic">r</span><span style=3D"font-family:'Times New Roman'"> =3D .88). La= s cuatro dimensiones presentaron incrementos descriptivos, aunque la resolu= ci=C3=B3n contextual permaneci=C3=B3 como la de menor puntuaci=C3=B3n poste= rior. La encuesta mostr=C3=B3 una valoraci=C3=B3n predominantemente favorab= le de la experiencia, especialmente en motivaci=C3=B3n e inter=C3=A9s, mien= tras que las entrevistas aportaron informaci=C3=B3n complementaria sobre la= visualizaci=C3=B3n de procedimientos, la participaci=C3=B3n, la mediaci=C3= =B3n docente y las condiciones de implementaci=C3=B3n. </span><span style= =3D"font-family:'Times New Roman'; font-weight:bold">Conclusi=C3=B3n:</span= ><span style=3D"font-family:'Times New Roman'"> La implementaci=C3=B3n de l= a estrategia estuvo acompa=C3=B1ada por un patr=C3=B3n favorable en el dese= mpe=C3=B1o posterior y por una valoraci=C3=B3n positiva de la experiencia e= ducativa. Debido al dise=C3=B1o preexperimental, la ausencia de un grupo de= comparaci=C3=B3n, las diferentes condiciones de administraci=C3=B3n de las= mediciones y las limitaciones psicom=C3=A9tricas de la prueba objetiva, lo= s resultados deben circunscribirse al grupo y contexto estudiados y no perm= iten establecer una relaci=C3=B3n causal definitiva entre la estrategia imp= lementada y las diferencias observadas. </span><span style=3D"font-family:'= Times New Roman'; font-weight:bold">=C3=81rea de estudio general: </span><s= pan style=3D"font-family:'Times New Roman'">Educaci=C3=B3n. </span><span st= yle=3D"font-family:'Times New Roman'; font-weight:bold">=C3=81rea de estudi= o espec=C3=ADfica: </span><span style=3D"font-family:'Times New Roman'">Did= =C3=A1ctica de la Matem=C3=A1tica y Tecnolog=C3=ADa Educativa. </span><span= style=3D"font-family:'Times New Roman'; font-weight:bold; color:#333333; b= ackground-color:#ffffff">Tipo de estudio:</span><span style=3D"font-family:= 'Times New Roman'; color:#333333; background-color:#ffffff">  </span><= span style=3D"font-family:'Times New Roman'; color:#333333; background-colo= r:#ffffff">Art=C3=ADculo original.</span></p></td></tr><tr><td colspan=3D"2= " style=3D"width:78pt; border-top:0.75pt solid #000000; border-right:0.75pt= solid #5b9bd5; border-left:0.75pt solid #5b9bd5; border-bottom:0.75pt soli= d #5b9bd5; padding:0pt 5.03pt; vertical-align:top"><p class=3D"Title" style= =3D"margin-top:6pt; text-align:justify; line-height:115%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; font-weight:bold; color:#76717= 1">Keywords:</span></p><p class=3D"Title" style=3D"margin-top:6pt; text-ali= gn:left; line-height:115%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'">GeoGebra; mathematics education; combined operations; instruc= tional strategy; adult education</span></p></td><td style=3D"width:1.05pt; = border-top:0.75pt solid #000000; border-right:0.75pt solid #5b9bd5; border-= left:0.75pt solid #5b9bd5; border-bottom:0.75pt solid #5b9bd5; padding:0pt = 5.03pt; vertical-align:top"><p class=3D"Title" style=3D"margin-top:6pt; tex= t-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-fami= ly:'Times New Roman'; font-weight:bold"> </span></p></td><td style=3D"= width:347.05pt; border-top:0.75pt solid #000000; border-right:0.75pt solid = #5b9bd5; border-left:0.75pt solid #5b9bd5; border-bottom:0.75pt solid #5b9b= d5; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; = text-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-f= amily:'Times New Roman'; font-weight:bold; color:#808080">Abstract</span></= p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font= -size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold"= >Introduction: </span><span style=3D"font-family:'Times New Roman'">At Sant= a Marianita Educational Unit, located in Manta, Ecuador, difficulties were = identified among adult ninth-grade general basic education students enrolle= d in an extraordinary education program, particularly in operational hierar= chy, procedural organization, and the contextual resolution of combined ope= rations. These needs guided the design of a GeoGebra-mediated didactic stra= tegy aimed at supporting the visualization of procedures, error analysis, a= nd feedback during mathematical problem solving. </span><span style=3D"font= -family:'Times New Roman'; font-weight:bold">Objective:</span><span style= =3D"font-family:'Times New Roman'"> To evaluate the changes observed in the= learning of combined operations before and after the implementation of a G= eoGebra-mediated didactic strategy among ninth-grade general basic educatio= n students enrolled in an extraordinary education program at Santa Marianit= a Educational Unit. </span><span style=3D"font-family:'Times New Roman'; fo= nt-weight:bold">Methodology:</span><span style=3D"font-family:'Times New Ro= man'"> An applied study was conducted using a mixed-methods approach with q= uantitative predominance and a one-group pre-experiment pretest-post-test d= esign. The participants were 28 adult students. Performance was assessed us= ing a 20-item objective test administered before and after six intervention= sessions. Subsequently, a 20-item satisfaction survey was conducted, and s= emi-structured interviews were conducted with the principal, vice-principal= , and Mathematics teacher. The didactic proposal was independently evaluate= d by five professionals. Normality of the difference scores was examined us= ing the Shapiro-Wilk test, and pretest-post test scores were compared using= the Wilcoxon signed-rank test. </span><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold">Results:</span><span style=3D"font-family:'Time= s New Roman'"> The mean score increased from 5.54 (SD =3D 1.04) on the pre-= test to 7.80 (SD =3D 0.86) on the post-test. Twenty-seven of the 28 partici= pants obtained higher scores at post-test, while one participant obtained t= he same score. The difference was statistically significant (</span><span s= tyle=3D"font-family:'Times New Roman'; font-style:italic">W</span><span sty= le=3D"font-family:'Times New Roman'"> =3D 0.00, </span><span style=3D"font-= family:'Times New Roman'; font-style:italic">p</span><span style=3D"font-fa= mily:'Times New Roman'"> < .001), with a large effect size (</span><span= style=3D"font-family:'Times New Roman'; font-style:italic">r</span><span s= tyle=3D"font-family:'Times New Roman'"> =3D .88). All four dimensions showe= d descriptive increases, although contextual problem solving remained the d= imension with the lowest post-test score. The survey showed a predominantly= favorable evaluation of the experience, particularly regarding motivation = and interest, while the interviews provided complementary information on th= e visualization of procedures, student participation, teacher mediation, an= d implementation conditions. </span><span style=3D"font-family:'Times New R= oman'; font-weight:bold">Conclusion:</span><span style=3D"font-family:'Time= s New Roman'"> Implementation of the strategy was accompanied by a favorabl= e pattern in subsequent performance and a positive evaluation of the educat= ional experience. Given the pre-experiment design, absence of a comparison = group, differences in the administration conditions of the two measurements= , and psychometric limitations of the objective test, the findings should b= e restricted to the group and context studied and do not allow a definitive= causal relationship to be established between the implemented strategy and= the observed differences. </span><span style=3D"font-family:'Times New Rom= an'; font-weight:bold">Area of Study: </span><span style=3D"font-family:'Ti= mes New Roman'">Education. </span><span style=3D"font-family:'Times New Rom= an'; font-weight:bold">Specific area of study: </span><span style=3D"font-f= amily:'Times New Roman'">Mathematics Education and Educational Technology. = </span><span style=3D"font-family:'Times New Roman'; font-weight:bold; colo= r:#333333; background-color:#ffffff">Type of study:</span><span style=3D"fo= nt-family:'Times New Roman'; color:#333333; background-color:#ffffff"> Orig= inal article.</span></p></td></tr><tr style=3D"height:0pt"><td style=3D"wid= th:85.55pt"></td><td style=3D"width:3.25pt"></td><td style=3D"width:11.85pt= "></td><td style=3D"width:357.85pt"></td></tr></table><p class=3D"ListParag= raph" style=3D"margin-top:12pt; text-indent:-18pt; text-align:justify; line= -height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman';= font-weight:bold; color:#767171"><span>1.</span></span><span style=3D"widt= h:9pt; font:7pt 'Times New Roman'; display:inline-block">   =    </span><span style=3D"font-family:'Times New Roman'; font-weig= ht:bold; color:#767171">Introducci=C3=B3n</span></p><p style=3D"margin-bott= om:0pt; text-align:justify; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">La integraci=C3=B3n de tecnolog=C3=ADas = digitales en la educaci=C3=B3n matem=C3=A1tica trasciende la incorporaci=C3= =B3n instrumental de recursos al aula, pues puede modificar las formas en q= ue los estudiantes representan, exploran y validan objetos y procedimientos= matem=C3=A1ticos. Esta perspectiva adquiere relevancia en la agenda contem= por=C3=A1nea de investigaci=C3=B3n: Bakker et al. (2021) identificaron la t= ecnolog=C3=ADa entre los temas prioritarios para el desarrollo futuro de la= educaci=C3=B3n matem=C3=A1tica, mientras que </span><span style=3D"font-fa= mily:'Times New Roman'; background-color:#ffff00">Drijvers</span><span styl= e=3D"font-family:'Times New Roman'"> & Sinclair (2024) se=C3=B1alaron q= ue el campo ha evolucionado desde preguntas centradas =C3=BAnicamente en de= terminar si las tecnolog=C3=ADas digitales funcionan hacia el an=C3=A1lisis= de los prop=C3=B3sitos para los que se utilizan, las pr=C3=A1cticas que po= sibilitan y las transformaciones que pueden generar en la ense=C3=B1anza y = el aprendizaje. En consecuencia, el valor educativo de una tecnolog=C3=ADa = no deriva exclusivamente de sus caracter=C3=ADsticas t=C3=A9cnicas, sino de= su articulaci=C3=B3n con los objetivos matem=C3=A1ticos, las tareas propue= stas y la mediaci=C3=B3n pedag=C3=B3gica.</span></p><p style=3D"margin-bott= om:0pt; text-align:justify; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">Dentro de este escenario, </span><span s= tyle=3D"font-family:'Times New Roman'; font-style:italic">GeoGebra</span><s= pan style=3D"font-family:'Times New Roman'"> constituye un entorno din=C3= =A1mico que posibilita la articulaci=C3=B3n de representaciones num=C3=A9ri= cas, algebraicas y gr=C3=A1ficas, favoreciendo la visualizaci=C3=B3n de rel= aciones y procedimientos matem=C3=A1ticos que pueden resultar dif=C3=ADcile= s de interpretar exclusivamente mediante el registro simb=C3=B3lico. En un = metaan=C3=A1lisis centrado en el uso de </span><span style=3D"font-family:'= Times New Roman'; font-style:italic">GeoGebra</span><span style=3D"font-fam= ily:'Times New Roman'"> como herramienta de visualizaci=C3=B3n din=C3=A1mic= a, </span><span style=3D"font-family:'Times New Roman'; background-color:#f= fff00">Zhang</span><span style=3D"font-family:'Times New Roman'"> et al. (2= 025) identificaron un efecto positivo de magnitud moderada a alta sobre el = rendimiento matem=C3=A1tico de los estudiantes, a partir de la s=C3=ADntesi= s de investigaciones desarrolladas en distintos contextos educativos. Estos= resultados respaldan el potencial pedag=C3=B3gico del software, aunque su = incorporaci=C3=B3n no debe reducirse a la comprobaci=C3=B3n automatizada de= respuestas, sino articularse con actividades dise=C3=B1adas para favorecer= la exploraci=C3=B3n, la comprensi=C3=B3n de procedimientos y la mediaci=C3= =B3n docente.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; = line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Rom= an'">La integraci=C3=B3n pedag=C3=B3gica de tecnolog=C3=ADas digitales en l= a ense=C3=B1anza de las matem=C3=A1ticas requiere competencias docentes que= trascienden el dominio operativo de las herramientas. </span><span style= =3D"font-family:'Times New Roman'; background-color:#ffff00">Padilla-Escorc= ia</span><span style=3D"font-family:'Times New Roman'"> et al. (2025) muest= ran que el conocimiento para ense=C3=B1ar matem=C3=A1ticas con tecnolog=C3= =ADas digitales demanda articular saberes matem=C3=A1ticos, pedag=C3=B3gico= s y tecnol=C3=B3gicos. Esta exigencia adquiere mayor complejidad cuando el = docente debe interpretar simult=C3=A1neamente el razonamiento matem=C3=A1ti= co y la interacci=C3=B3n del estudiante con la tecnolog=C3=ADa. </span><spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">McCullo= ch</span><span style=3D"font-family:'Times New Roman'"> et al. (2023) desta= can precisamente la necesidad de atender, interpretar y responder al pensam= iento matem=C3=A1tico del estudiante en entornos mediados tecnol=C3=B3gicam= ente, considerando expl=C3=ADcitamente su interacci=C3=B3n con las herramie= ntas digitales. Desde esta perspectiva, el potencial educativo de </span><s= pan style=3D"font-family:'Times New Roman'; font-style:italic">GeoGebra</sp= an><span style=3D"font-family:'Times New Roman'"> depende tambi=C3=A9n de l= as decisiones pedag=C3=B3gicas mediante las cuales se orientan las represen= taciones, las tareas y la retroalimentaci=C3=B3n durante el aprendizaje. </= span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115= %; font-size:12pt"><span style=3D"font-family:'Times New Roman'">El aprendi= zaje de las operaciones combinadas exige algo m=C3=A1s que ejecutar correct= amente c=C3=A1lculos aislados, ya que el estudiante debe interpretar la est= ructura de la expresi=C3=B3n, reconocer la precedencia entre operaciones y = decidir una secuencia de resoluci=C3=B3n coherente. Esta demanda puede gene= rar errores cuando se aplican procedimientos r=C3=ADgidos sin atender a las= relaciones internas de la expresi=C3=B3n matem=C3=A1tica. En un estudio re= alizado con 837 estudiantes, </span><span style=3D"font-family:'Times New R= oman'; background-color:#ffff00">Bye</span><span style=3D"font-family:'Time= s New Roman'"> et al. (2024) encontraron que los errores de precedencia var= iaban seg=C3=BAn la estructura de las expresiones y eran m=C3=A1s frecuente= s cuando la operaci=C3=B3n situada inicialmente no correspond=C3=ADa con la= que deb=C3=ADa resolverse de acuerdo con la jerarqu=C3=ADa operacional. Es= tos hallazgos muestran que las dificultades asociadas al orden de las opera= ciones no pueden reducirse a la memorizaci=C3=B3n de una regla, pues tambi= =C3=A9n involucran la manera en que el estudiante interpreta la expresi=C3= =B3n y organiza el procedimiento para resolverla.</span></p><p style=3D"mar= gin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'">Esta exigencia se incrementa cuand= o el conocimiento matem=C3=A1tico debe emplearse en situaciones contextuali= zadas. La resoluci=C3=B3n de este tipo de tareas supone interpretar informa= ci=C3=B3n, reconocer las relaciones matem=C3=A1ticas presentes y vincularla= s con las condiciones de la situaci=C3=B3n planteada. </span><span style=3D= "font-family:'Times New Roman'; background-color:#ffff00">Chavarr=C3=ADa-Ar= royo</span><span style=3D"font-family:'Times New Roman'"> & Albanese (2= 023) muestran que la contextualizaci=C3=B3n de problemas matem=C3=A1ticos e= xige considerar no solo el contenido disciplinar, sino tambi=C3=A9n la cohe= rencia y autenticidad del contexto utilizado, de modo que este contribuya e= fectivamente a dotar de significado a la actividad matem=C3=A1tica. Esta pe= rspectiva resulta pertinente para el aprendizaje de operaciones combinadas,= dado que el dominio de los procedimientos no garantiza por s=C3=AD mismo s= u aplicaci=C3=B3n adecuada cuando el estudiante debe identificar qu=C3=A9 o= peraciones utilizar y c=C3=B3mo organizarlas dentro de una situaci=C3=B3n c= oncreta. </span></p><p style=3D"margin-bottom:0pt; text-align:justify; line= -height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"= >Las dificultades relacionadas con el aprendizaje matem=C3=A1tico adquieren= caracter=C3=ADsticas particulares en contextos educativos que atienden a j= =C3=B3venes y adultos con trayectorias formativas diversas. En estos escena= rios, la ense=C3=B1anza no puede limitarse a reproducir las mismas condicio= nes pedag=C3=B3gicas de la escolaridad ordinaria, pues las experiencias pre= vias, las demandas cotidianas y las formas de relacionarse con el conocimie= nto matem=C3=A1tico configuran necesidades diferenciadas. </span><span styl= e=3D"font-family:'Times New Roman'; background-color:#ffff00">Gal</span><sp= an style=3D"font-family:'Times New Roman'"> (2024) se=C3=B1ala que la educa= ci=C3=B3n matem=C3=A1tica y la numeraci=C3=B3n de adultos constituyen un ca= mpo heterog=C3=A9neo y todav=C3=ADa insuficientemente investigado en relaci= =C3=B3n con las pr=C3=A1cticas concretas de ense=C3=B1anza y aprendizaje. E= sta situaci=C3=B3n refuerza la necesidad de estudiar estrategias did=C3=A1c= ticas situadas que articulen los contenidos matem=C3=A1ticos con las caract= er=C3=ADsticas de los estudiantes y las condiciones reales en que se desarr= olla su formaci=C3=B3n.</span></p><p style=3D"margin-bottom:0pt; text-align= :justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Tim= es New Roman'">La vinculaci=C3=B3n de la matem=C3=A1tica con situaciones si= gnificativas adquiere particular importancia en esta poblaci=C3=B3n. </span= ><span style=3D"font-family:'Times New Roman'; background-color:#ffff00">Go= os</span><span style=3D"font-family:'Times New Roman'"> et al. (2023) al es= tudiar la educaci=C3=B3n num=C3=A9rica de adultos, identificaron que experi= encias escolares negativas, ansiedad y falta de confianza pueden constituir= barreras para su participaci=C3=B3n y se=C3=B1alaron la relevancia de inte= grar el aprendizaje num=C3=A9rico en contextos del mundo real y en ambiente= s formativos que favorezcan su participaci=C3=B3n. Estos hallazgos refuerza= n una concepci=C3=B3n de la educaci=C3=B3n matem=C3=A1tica de adultos que t= rasciende la ejecuci=C3=B3n descontextualizada de procedimientos y reconoce= la utilidad, la experiencia previa y las condiciones de participaci=C3=B3n= como componentes relevantes del proceso formativo. </span></p><p style=3D"= margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><s= pan style=3D"font-family:'Times New Roman'">En Ecuador, la modalidad educat= iva extraordinaria constituye una alternativa para j=C3=B3venes y adultos q= ue requieren continuar o completar trayectorias escolares inconclusas, lo q= ue configura escenarios formativos con caracter=C3=ADsticas distintas a las= de la escolaridad ordinaria. Esta particularidad demanda propuestas pedag= =C3=B3gicas sensibles a las experiencias, ritmos y conocimientos previos de= quienes retornan o permanecen en el sistema educativo. En el =C3=A1mbito d= e la educaci=C3=B3n matem=C3=A1tica de j=C3=B3venes y adultos, </span><span= style=3D"font-family:'Times New Roman'; background-color:#ffff00">Pereira<= /span><span style=3D"font-family:'Times New Roman'"> & Pontin (2021) so= stienen que las especificidades socioculturales de esta poblaci=C3=B3n debe= n ser reconocidas en la organizaci=C3=B3n de los procesos de ense=C3=B1anza= y aprendizaje. Desde esta perspectiva, la selecci=C3=B3n de estrategias pa= ra abordar contenidos matem=C3=A1ticos no deber=C3=ADa responder =C3=BAnica= mente a la estructura disciplinar, sino tambi=C3=A9n a las condiciones educ= ativas concretas en las que los estudiantes construyen y reconstruyen sus a= prendizajes.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; l= ine-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roma= n'">En la </span><span style=3D"font-family:'Times New Roman'; text-decorat= ion:underline">Unidad Educativa Santa Marianita</span><span style=3D"font-f= amily:'Times New Roman'">, ubicada en el cant=C3=B3n Manta, provincia de Ma= nab=C3=AD, la ense=C3=B1anza de operaciones combinadas en noveno a=C3=B1o d= e educaci=C3=B3n general b=C3=A1sica en modalidad extraordinaria evidenci= =C3=B3 la necesidad de fortalecer la comprensi=C3=B3n de la jerarqu=C3=ADa = operacional y la organizaci=C3=B3n de los procedimientos de resoluci=C3=B3n= . El diagn=C3=B3stico que antecedi=C3=B3 a la intervenci=C3=B3n permiti=C3= =B3 reconocer dificultades vinculadas con la identificaci=C3=B3n del orden = en que deb=C3=ADan ejecutarse las operaciones, el uso de signos de agrupaci= =C3=B3n, la aplicaci=C3=B3n secuencial de procedimientos y la revisi=C3=B3n= de errores durante la resoluci=C3=B3n de ejercicios. Estas manifestaciones= plantearon la necesidad de superar una ense=C3=B1anza centrada exclusivame= nte en la ejecuci=C3=B3n mec=C3=A1nica de reglas y orientar el trabajo haci= a una estrategia que hiciera visibles los procedimientos, facilitara su an= =C3=A1lisis y ofreciera oportunidades de retroalimentaci=C3=B3n durante el = proceso de resoluci=C3=B3n.</span></p><p style=3D"margin-bottom:0pt; text-a= lign:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:= 'Times New Roman'">Aunque la investigaci=C3=B3n reciente aporta evidencia f= avorable sobre el uso de GeoGebra y las representaciones din=C3=A1micas en = el aprendizaje matem=C3=A1tico (</span><span style=3D"font-family:'Times Ne= w Roman'; background-color:#ffff00">Zhang</span><span style=3D"font-family:= 'Times New Roman'"> et al., 2025), estos beneficios no pueden atribuirse ex= clusivamente a la incorporaci=C3=B3n de una herramienta digital. </span><sp= an style=3D"font-family:'Times New Roman'; background-color:#ffff00">Schoen= herr</span><span style=3D"font-family:'Times New Roman'"> et al. (2024) adv= ierten que las visualizaciones mediadas por tecnolog=C3=ADa no muestran por= s=C3=AD mismas una superioridad sistem=C3=A1tica frente a otras formas de = representaci=C3=B3n, mientras que </span><span style=3D"font-family:'Times = New Roman'; background-color:#ffff00">McCulloch</span><span style=3D"font-f= amily:'Times New Roman'"> et al. (2023) permiten reconocer la importancia d= e la actuaci=C3=B3n docente para interpretar y orientar el pensamiento mate= m=C3=A1tico en ambientes mediados tecnol=C3=B3gicamente. A ello se suma la = limitada evidencia sobre pr=C3=A1cticas concretas de ense=C3=B1anza y apren= dizaje matem=C3=A1tico con poblaci=C3=B3n adulta se=C3=B1alada por </span><= span style=3D"font-family:'Times New Roman'; background-color:#ffff00">Gal<= /span><span style=3D"font-family:'Times New Roman'"> (2024). En este escena= rio, permanece insuficientemente explorado el uso de estrategias did=C3=A1c= ticas mediadas por GeoGebra para el aprendizaje de operaciones combinadas e= n estudiantes de educaci=C3=B3n general b=C3=A1sica extraordinaria, particu= larmente en el contexto ecuatoriano. </span></p><p style=3D"margin-bottom:0= pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'">A partir de esta problem=C3=A1tica, el estudio= se orient=C3=B3 por la siguiente pregunta: =C2=BFqu=C3=A9 cambios se obser= van en el aprendizaje de operaciones combinadas despu=C3=A9s de implementar= una estrategia did=C3=A1ctica mediada por GeoGebra en estudiantes de noven= o a=C3=B1o de educaci=C3=B3n general b=C3=A1sica en modalidad extraordinari= a? En correspondencia con esta interrogante, el objetivo fue evaluar los ca= mbios en el aprendizaje de operaciones combinadas asociados a la implementa= ci=C3=B3n de una estrategia did=C3=A1ctica mediada por GeoGebra en estudian= tes de noveno a=C3=B1o de educaci=C3=B3n general b=C3=A1sica extraordinaria= de la </span><span style=3D"font-family:'Times New Roman'; text-decoration= :underline">Unidad Educativa Santa Marianita</span><span style=3D"font-fami= ly:'Times New Roman'">.</span></p><p style=3D"margin-bottom:0pt; text-align= :justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Tim= es New Roman'">En coherencia con el dise=C3=B1o preexperimental, se plantea= ron las hip=C3=B3tesis en t=C3=A9rminos de las diferencias entre las medici= ones relacionadas. La hip=C3=B3tesis nula (H=E2=82=80) estableci=C3=B3 que = no existir=C3=ADan diferencias estad=C3=ADsticamente significativas entre l= as puntuaciones obtenidas por los estudiantes en el pretest y el postest de= operaciones combinadas. La hip=C3=B3tesis alternativa (H=E2=82=81) plante= =C3=B3 que existir=C3=ADan diferencias estad=C3=ADsticamente significativas= entre ambas mediciones despu=C3=A9s de la implementaci=C3=B3n de la estrat= egia did=C3=A1ctica mediada por GeoGebra.</span></p><p class=3D"ListParagra= ph" style=3D"margin-top:12pt; text-indent:-18pt; line-height:115%; font-siz= e:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold; col= or:#767171"><span>2.</span></span><span style=3D"width:9pt; font:7pt 'Times= New Roman'; display:inline-block">      </span><s= pan style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171= ">Metodolog=C3=ADa</span></p><p style=3D"margin-bottom:0pt; text-align:just= ify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'">La investigaci=C3=B3n adopt=C3=B3 un enfoque mixto con predominio= cuantitativo y orientaci=C3=B3n aplicada, al integrar procedimientos de me= dici=C3=B3n del aprendizaje de operaciones combinadas con informaci=C3=B3n = complementaria sobre la experiencia de implementaci=C3=B3n de la estrategia= did=C3=A1ctica en el contexto estudiado. El componente cuantitativo consti= tuy=C3=B3 el eje principal del an=C3=A1lisis mediante la comparaci=C3=B3n d= e las puntuaciones obtenidas por los estudiantes antes y despu=C3=A9s de la= intervenci=C3=B3n. El componente cualitativo se sustent=C3=B3 en entrevist= as semiestructuradas realizadas a actores institucionales, cuyos aportes pe= rmitieron ampliar la comprensi=C3=B3n de los resultados obtenidos. La integ= raci=C3=B3n de las fuentes de informaci=C3=B3n se efectu=C3=B3 durante la i= nterpretaci=C3=B3n, contrastando los cambios observados en el desempe=C3=B1= o con las apreciaciones recogidas sobre el proceso pedag=C3=B3gico.</span><= /p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'">El componente cu= antitativo sigui=C3=B3 un dise=C3=B1o preexperimental de un solo grupo con = mediciones antes y despu=C3=A9s de la intervenci=C3=B3n, representado media= nte el esquema G O=E2=82=81 X O=E2=82=82, donde G corresponde al grupo part= icipante, O=E2=82=81 a la medici=C3=B3n inicial mediante el pretest, X a la= implementaci=C3=B3n de la estrategia did=C3=A1ctica mediada por GeoGebra y= O=E2=82=82 a la medici=C3=B3n posterior mediante el postest. Este dise=C3= =B1o permiti=C3=B3 examinar las diferencias registradas en el aprendizaje d= e operaciones combinadas dentro del mismo grupo despu=C3=A9s de la interven= ci=C3=B3n. Al no contar con un grupo de control ni asignaci=C3=B3n aleatori= a, los cambios observados se interpretaron como asociados a la implementaci= =C3=B3n de la estrategia en el contexto estudiado, sin atribuirles un alcan= ce causal definitivo.</span></p><p style=3D"margin-bottom:0pt; text-align:j= ustify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times= New Roman'">Por su finalidad, la investigaci=C3=B3n fue aplicada, dado que= respondi=C3=B3 a una problem=C3=A1tica educativa identificada en un contex= to institucional concreto mediante la implementaci=C3=B3n y evaluaci=C3=B3n= de una estrategia did=C3=A1ctica. Su alcance fue descriptivo-comparativo: = descriptivo, porque permiti=C3=B3 caracterizar el desempe=C3=B1o de los est= udiantes en las mediciones realizadas y las percepciones vinculadas con la = experiencia pedag=C3=B3gica; y comparativo, porque examin=C3=B3 las diferen= cias entre las puntuaciones relacionadas del pretest y el postest.</span></= p><p class=3D"ListParagraph" style=3D"margin-bottom:0pt; text-indent:-18pt;= text-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-= family:'Times New Roman'; font-style:italic"><span>2.1.</span></span><span = style=3D"font-family:'Times New Roman'; font-weight:bold"> </span><span sty= le=3D"font-family:'Times New Roman'; font-style:italic">Participantes</span= ></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; f= ont-size:12pt"><span style=3D"font-family:'Times New Roman'">La poblaci=C3= =B3n estuvo conformada por 28 estudiantes adultos matriculados en noveno a= =C3=B1o de educaci=C3=B3n general b=C3=A1sica, modalidad extraordinaria, de= la </span><span style=3D"font-family:'Times New Roman'; text-decoration:un= derline">Unidad Educativa Santa Marianita</span><span style=3D"font-family:= 'Times New Roman'">, con edades aproximadas entre 20 y 55 a=C3=B1os. Todos = eran mayores de 18 a=C3=B1os y pertenec=C3=ADan a una modalidad educativa d= irigida a personas con escolaridad inconclusa. Debido a que la intervenci= =C3=B3n se desarroll=C3=B3 con la totalidad de los estudiantes matriculados= en el paralelo, se realiz=C3=B3 un abordaje censal y no se efectu=C3=B3 se= lecci=C3=B3n muestral. Los 28 participantes completaron tanto el pretest co= mo el postest, por lo que se dispuso de 28 pares de observaciones y no se r= egistraron p=C3=A9rdidas entre ambas mediciones. Si bien el contexto instit= ucional evidenciaba trayectorias educativas interrumpidas de diversa duraci= =C3=B3n, el tiempo individual de rezago escolar, la experiencia tecnol=C3= =B3gica previa y las condiciones particulares de conectividad no fueron rec= ogidos como variables de caracterizaci=C3=B3n; por esta raz=C3=B3n, no se i= ncorporaron al an=C3=A1lisis estad=C3=ADstico.</span></p><p class=3D"ListPa= ragraph" style=3D"margin-bottom:0pt; text-indent:-18pt; text-align:justify;= line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Ro= man'; font-style:italic"><span>2.2.</span></span><span style=3D"font-family= :'Times New Roman'; font-weight:bold"> </span><span style=3D"font-family:'T= imes New Roman'; font-style:italic">Informantes del componente cualitativo<= /span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:11= 5%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">Para prof= undizar en la comprensi=C3=B3n del proceso de implementaci=C3=B3n de la est= rategia did=C3=A1ctica, se seleccionaron intencionalmente tres informantes = institucionales: el rector, el vicerrector y el docente de Matem=C3=A1ticas= . La selecci=C3=B3n se fundament=C3=B3 en su vinculaci=C3=B3n con el contex= to educativo estudiado y en la posibilidad de aportar perspectivas compleme= ntarias desde los =C3=A1mbitos institucional y pedag=C3=B3gico. Las entrevi= stas permitieron recoger informaci=C3=B3n relacionada con las dificultades = observadas en el aprendizaje de las operaciones combinadas, la implementaci= =C3=B3n pedag=C3=B3gica de GeoGebra, los cambios percibidos durante el proc= eso, la valoraci=C3=B3n de la estrategia y las condiciones consideradas rel= evantes para su continuidad.</span></p><p class=3D"ListParagraph" style=3D"= margin-bottom:0pt; text-indent:-18pt; text-align:justify; line-height:115%;= font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-style:i= talic"><span>2.3.</span></span><span style=3D"font-family:'Times New Roman'= ; font-weight:bold"> </span><span style=3D"font-family:'Times New Roman'; f= ont-style:italic">T=C3=A9cnicas e instrumentos de recolecci=C3=B3n de datos= </span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:1= 15%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">Para eva= luar el aprendizaje de operaciones combinadas se utilizaron dos formas para= lelas de una prueba objetiva, correspondientes al pretest y al postest. Amb= as formas fueron construidas a partir de la misma matriz de especificacione= s y estuvieron conformadas por 20 =C3=ADtems distribuidos en cuatro dimensi= ones: jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n procedimental, correcc= i=C3=B3n de errores y resoluci=C3=B3n contextual, con cinco reactivos por d= imensi=C3=B3n. Aunque los reactivos fueron diferentes en ambas mediciones, = conservaron correspondencia en el contenido evaluado, la estructura dimensi= onal y la demanda cognitiva general. Cada reactivo fue valorado con un m=C3= =A1ximo de 0,5 puntos, de modo que cada dimensi=C3=B3n alcanz=C3=B3 una pun= tuaci=C3=B3n m=C3=A1xima de 2,5 puntos y la puntuaci=C3=B3n total se expres= =C3=B3 en una escala de 0 a 10. Ambas evaluaciones tuvieron una duraci=C3= =B3n de 30 minutos. El pretest se administr=C3=B3 antes de la intervenci=C3= =B3n sin apoyo de GeoGebra, mientras que el postest se aplic=C3=B3 despu=C3= =A9s de la intervenci=C3=B3n permitiendo el uso de la herramienta tecnol=C3= =B3gica. Por tanto, aunque ambas formas conservaron correspondencia estruct= ural, de contenido, puntuaci=C3=B3n y tiempo de aplicaci=C3=B3n, las condic= iones instrumentales de administraci=C3=B3n no fueron completamente equival= entes. Esta diferencia se consider=C3=B3 al interpretar los cambios observa= dos entre las mediciones.</span></p><p style=3D"margin-bottom:0pt; text-ali= gn:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'T= imes New Roman'">Para conocer la percepci=C3=B3n de los estudiantes sobre l= a experiencia desarrollada se utiliz=C3=B3 la t=C3=A9cnica de encuesta medi= ante un cuestionario de satisfacci=C3=B3n aplicado a los 28 participantes a= l finalizar la intervenci=C3=B3n. El instrumento estuvo conformado por 20 = =C3=ADtems organizados en cinco dimensiones: comprensi=C3=B3n del contenido= , facilidad de uso del recurso digital, motivaci=C3=B3n e inter=C3=A9s, seg= uridad y autoeficacia percibida y valoraci=C3=B3n general de la estrategia.= Cada dimensi=C3=B3n estuvo integrada por cuatro =C3=ADtems valorados media= nte una escala tipo Likert de cinco categor=C3=ADas: Totalmente en desacuer= do, En desacuerdo, Ni de acuerdo ni en desacuerdo, De acuerdo y Totalmente = de acuerdo. La informaci=C3=B3n obtenida se utiliz=C3=B3 para examinar la v= aloraci=C3=B3n de los estudiantes sobre la experiencia de aprendizaje media= da por GeoGebra y se interpret=C3=B3 de manera diferenciada respecto de las= puntuaciones de aprendizaje.</span></p><p style=3D"margin-bottom:0pt; text= -align:justify; line-height:115%; font-size:12pt"><span style=3D"font-famil= y:'Times New Roman'">Para el componente cualitativo se emple=C3=B3 la t=C3= =A9cnica de entrevista mediante un guion semiestructurado aplicado al recto= r, al vicerrector y al docente de matem=C3=A1ticas. Las preguntas se organi= zaron en torno a ejes relacionados con las dificultades en el aprendizaje d= e las operaciones combinadas, la implementaci=C3=B3n pedag=C3=B3gica de Geo= Gebra, los cambios percibidos durante el proceso, la valoraci=C3=B3n de la = estrategia y su posible proyecci=C3=B3n en el contexto institucional. El ca= r=C3=A1cter semiestructurado del instrumento permiti=C3=B3 mantener ejes co= munes de indagaci=C3=B3n y, a la vez, profundizar en las apreciaciones apor= tadas por cada informante de acuerdo con su funci=C3=B3n y experiencia en l= a instituci=C3=B3n.</span></p><p class=3D"ListParagraph" style=3D"margin-bo= ttom:0pt; text-indent:-18pt; text-align:justify; line-height:115%; font-siz= e:12pt"><span style=3D"font-family:'Times New Roman'; font-style:italic"><s= pan>2.4.</span></span><span style=3D"font-family:'Times New Roman'; font-we= ight:bold"> </span><span style=3D"font-family:'Times New Roman'; font-style= :italic">Evidencias de validez y confiabilidad de los instrumentos</span></= p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font= -size:12pt"><span style=3D"font-family:'Times New Roman'">La prueba objetiv= a y la encuesta de satisfacci=C3=B3n fueron sometidas, antes de su aplicaci= =C3=B3n, a un proceso de validaci=C3=B3n de contenido mediante juicio de ci= nco expertos, seleccionados por su formaci=C3=B3n y experiencia en =C3=A1re= as relacionadas con el objeto de estudio y la mediaci=C3=B3n tecnol=C3=B3gi= ca. El panel estuvo integrado por un especialista en tecnolog=C3=ADas de la= informaci=C3=B3n y la comunicaci=C3=B3n, dos especialistas en pedagog=C3= =ADa de la matem=C3=A1tica, un profesional con grado de doctor en entornos = digitales y un profesional con grado de mag=C3=ADster en Matem=C3=A1tica. L= a valoraci=C3=B3n examin=C3=B3 la correspondencia de los =C3=ADtems con los= prop=C3=B3sitos de medici=C3=B3n y las dimensiones definidas para cada ins= trumento, considerando criterios de pertinencia, coherencia y claridad. Las= observaciones formuladas por los expertos fueron revisadas antes de la apl= icaci=C3=B3n definitiva y dieron lugar a ajustes menores en la redacci=C3= =B3n y organizaci=C3=B3n de determinados reactivos. Como evidencia cuantita= tiva de validez de contenido se calcul=C3=B3 el coeficiente V de Aiken, obt= eni=C3=A9ndose un valor global de V=3D.947. Este procedimiento correspondi= =C3=B3 exclusivamente a la validaci=C3=B3n de los instrumentos de recolecci= =C3=B3n de datos y fue independiente de la valoraci=C3=B3n realizada poster= iormente sobre la propuesta did=C3=A1ctica.</span></p><p style=3D"margin-bo= ttom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">La consistencia interna de las dos forma= s de la prueba objetiva se examin=C3=B3 mediante el coeficiente Kuder-Richa= rdson 20 (KR-20), apropiado para reactivos con calificaci=C3=B3n dicot=C3= =B3mica. A partir de las respuestas de los 28 participantes se obtuvieron c= oeficientes de KR-20=3D.398 para el pretest y KR-20=3D.077 para el postest.= Estos valores evidenciaron una consistencia interna limitada, particularme= nte en la medici=C3=B3n posterior. El an=C3=A1lisis complementario de los r= eactivos mostr=C3=B3 heterogeneidad en sus niveles de dificultad y relacion= es =C3=ADtem-resto d=C3=A9biles o negativas en determinados reactivos. En e= l postest se observ=C3=B3, adem=C3=A1s, una elevada concentraci=C3=B3n de r= espuestas correctas en varios =C3=ADtems, algunos de los cuales alcanzaron = proporciones de acierto del 96,4 %, lo que redujo su capacidad de discrimin= aci=C3=B3n entre los participantes. En consecuencia, las puntuaciones de am= bas mediciones se interpretaron con cautela y esta limitaci=C3=B3n psicom= =C3=A9trica fue considerada al analizar las diferencias observadas entre pr= etest y postest.</span></p><p style=3D"margin-bottom:0pt; text-align:justif= y; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New = Roman'">Para la encuesta de satisfacci=C3=B3n se examin=C3=B3 la consistenc= ia interna de los 20 reactivos mediante los coeficientes alfa de Cronbach y= omega de McDonald. A partir de las respuestas de los 28 participantes se o= btuvieron =CE=B1 =3D .962 y =CF=89 =3D .968, evidenci=C3=A1ndose una elevad= a consistencia interna de las respuestas en esta aplicaci=C3=B3n. Las corre= laciones =C3=ADtem-resto fueron positivas y oscilaron entre .575 y .852, mi= entras que el alfa al eliminar cada reactivo se situ=C3=B3 entre .959 y .96= 4, sin observarse una mejora sustancial de la consistencia interna mediante= la eliminaci=C3=B3n de alg=C3=BAn =C3=ADtem. Debido al tama=C3=B1o de la p= oblaci=C3=B3n estudiada y al car=C3=A1cter contextual de la investigaci=C3= =B3n, estos coeficientes se interpretaron como evidencia de consistencia in= terna correspondiente al grupo analizado y no como una propiedad definitiva= o generalizable del instrumento.</span></p><p class=3D"ListParagraph" styl= e=3D"margin-bottom:0pt; text-indent:-18pt; text-align:justify; line-height:= 115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-st= yle:italic"><span>2.5.</span></span><span style=3D"font-family:'Times New R= oman'; font-weight:bold"> </span><span style=3D"font-family:'Times New Roma= n'; font-style:italic">Dise=C3=B1o y validaci=C3=B3n de la propuesta did=C3= =A1ctica</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-= height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">= La propuesta did=C3=A1ctica se dise=C3=B1=C3=B3 a partir de las necesidades= identificadas en el diagn=C3=B3stico inicial y se estructur=C3=B3 en corre= spondencia con las cuatro dimensiones consideradas en el estudio: jerarqu= =C3=ADa de operaciones, aplicaci=C3=B3n procedimental, correcci=C3=B3n de e= rrores y resoluci=C3=B3n contextual. La secuencia integr=C3=B3 actividades = de explicaci=C3=B3n, resoluci=C3=B3n guiada, exploraci=C3=B3n y comprobaci= =C3=B3n mediante GeoGebra, an=C3=A1lisis de errores y aplicaci=C3=B3n de pr= ocedimientos en situaciones contextualizadas. Su implementaci=C3=B3n se org= aniz=C3=B3 en seis sesiones de 60 minutos, para un total de 360 minutos de = intervenci=C3=B3n.</span></p><p style=3D"margin-bottom:0pt; text-align:just= ify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'">Antes de su implementaci=C3=B3n, la propuesta fue sometida a valo= raci=C3=B3n por cinco profesionales con formaci=C3=B3n y experiencia relaci= onadas con la did=C3=A1ctica de la matem=C3=A1tica, la pedagog=C3=ADa y la = mediaci=C3=B3n tecnol=C3=B3gica. Para este procedimiento se emple=C3=B3 una= matriz de 25 indicadores distribuidos en cinco dimensiones: pertinencia pe= dag=C3=B3gica, calidad t=C3=A9cnica y uso de TIC, claridad metodol=C3=B3gic= a, factibilidad de aplicaci=C3=B3n y potencial de contribuci=C3=B3n al apre= ndizaje. Cada indicador fue valorado mediante una escala de 1 a 5. La puntu= aci=C3=B3n consolidada de los cinco evaluadores fue de 543 puntos de un m= =C3=A1ximo posible de 625, equivalente al 86,9 %. Por dimensiones, se obtuv= ieron valoraciones de 88,0 % en pertinencia pedag=C3=B3gica, 85,6 % en cali= dad t=C3=A9cnica y uso de TIC, 88,8 % en claridad metodol=C3=B3gica, 86,4 %= en factibilidad de aplicaci=C3=B3n y 85,6 % en potencial de contribuci=C3= =B3n al aprendizaje. De manera complementaria, las observaciones cualitativ= as de los evaluadores permitieron identificar oportunidades de mejora relac= ionadas principalmente con la interacci=C3=B3n directa del estudiante con G= eoGebra, la atenci=C3=B3n a diferentes niveles de competencia digital, la a= ccesibilidad de los recursos, la gesti=C3=B3n del tiempo y el fortalecimien= to de la evaluaci=C3=B3n formativa. Estas recomendaciones fueron considerad= as para realizar ajustes menores antes de la implementaci=C3=B3n de la prop= uesta.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-he= ight:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La= valoraci=C3=B3n de la propuesta constituy=C3=B3 un procedimiento independi= ente de la validaci=C3=B3n de contenido de los instrumentos de recolecci=C3= =B3n de datos. En consecuencia, sus resultados se utilizaron como evidencia= de revisi=C3=B3n previa de la pertinencia, coherencia y factibilidad de la= estrategia did=C3=A1ctica, y no como demostraci=C3=B3n de su efectividad n= i como evidencia de validez o confiabilidad de la prueba objetiva o de la e= ncuesta de satisfacci=C3=B3n.</span></p><p class=3D"ListParagraph" style=3D= "margin-bottom:0pt; text-indent:-18pt; text-align:justify; line-height:115%= ; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-style:= italic"><span>2.6.</span></span><span style=3D"font-family:'Times New Roman= '; font-weight:bold"> </span><span style=3D"font-family:'Times New Roman'; = font-style:italic">Procedimiento de intervenci=C3=B3n</span></p><p style=3D= "margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'">La intervenci=C3=B3n did=C3=A1= ctica se desarroll=C3=B3 mediante seis sesiones, cada una correspondiente a= dos horas acad=C3=A9micas de 30 minutos, para una duraci=C3=B3n de 60 minu= tos por sesi=C3=B3n. La secuencia se organiz=C3=B3 de forma progresiva para= abordar el aprendizaje de las operaciones combinadas con apoyo de GeoGebra= , partiendo del reconocimiento de conocimientos previos y de las dificultad= es relacionadas con la jerarqu=C3=ADa operacional, para avanzar hacia la in= terpretaci=C3=B3n del orden de resoluci=C3=B3n, la organizaci=C3=B3n de los= procedimientos, la identificaci=C3=B3n de errores y la aplicaci=C3=B3n de = lo aprendido en ejercicios de complejidad creciente. En conjunto, la interv= enci=C3=B3n comprendi=C3=B3 360 minutos de trabajo pedag=C3=B3gico. Durante= este proceso, GeoGebra se integr=C3=B3 como recurso para favorecer la expl= oraci=C3=B3n y representaci=C3=B3n de los procedimientos matem=C3=A1ticos, = bajo la orientaci=C3=B3n del docente.</span></p><p style=3D"margin-bottom:0= pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'">Las dos primeras sesiones se orientaron al rec= onocimiento y comprensi=C3=B3n de la jerarqu=C3=ADa de las operaciones. A p= artir de expresiones matem=C3=A1ticas y ejercicios guiados, se trabaj=C3=B3= la identificaci=C3=B3n del orden de resoluci=C3=B3n y la funci=C3=B3n de l= os signos de agrupaci=C3=B3n. Las actividades apoyadas en GeoGebra permitie= ron explorar las expresiones y contrastar las decisiones adoptadas durante = el procedimiento. La mediaci=C3=B3n docente se centr=C3=B3 en formular preg= untas, orientar la interpretaci=C3=B3n de las expresiones y promover la ide= ntificaci=C3=B3n de errores antes de avanzar hacia tareas de mayor compleji= dad.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-heig= ht:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">Las = sesiones tercera y cuarta se centraron en la organizaci=C3=B3n secuencial d= e los procedimientos y en la resoluci=C3=B3n de operaciones combinadas de c= omplejidad progresiva. Los estudiantes desarrollaron ejercicios en los que = deb=C3=ADan reconocer el orden de las operaciones, organizar el procedimien= to seguido y revisar posibles errores durante la resoluci=C3=B3n. El trabaj= o con GeoGebra acompa=C3=B1=C3=B3 la exploraci=C3=B3n de las expresiones y = la retroalimentaci=C3=B3n sobre los procedimientos empleados. En esta fase = se procur=C3=B3 desplazar la atenci=C3=B3n desde la obtenci=C3=B3n inmediat= a del resultado hacia la comprensi=C3=B3n de las relaciones entre las opera= ciones y la justificaci=C3=B3n de la secuencia utilizada.</span></p><p styl= e=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12p= t"><span style=3D"font-family:'Times New Roman'">Las sesiones quinta y sext= a estuvieron orientadas a la aplicaci=C3=B3n y consolidaci=C3=B3n de los ap= rendizajes mediante ejercicios que demandaban mayor autonom=C3=ADa en la re= soluci=C3=B3n. Los estudiantes aplicaron la jerarqu=C3=ADa operacional, org= anizaron los procedimientos y revisaron sus respuestas con apoyo de las rep= resentaciones disponibles en GeoGebra. La mediaci=C3=B3n docente se orient= =C3=B3 hacia la retroalimentaci=C3=B3n y el an=C3=A1lisis de los errores id= entificados durante las actividades. La secuencia concluy=C3=B3 con tareas = destinadas a integrar los contenidos trabajados y favorecer una resoluci=C3= =B3n progresivamente m=C3=A1s aut=C3=B3noma de las operaciones combinadas.<= /span></p><p class=3D"ListParagraph" style=3D"margin-bottom:0pt; text-inden= t:-18pt; text-align:justify; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; font-style:italic"><span>2.7.</span></sp= an><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </span>= <span style=3D"font-family:'Times New Roman'; font-style:italic">Procedimie= nto de recolecci=C3=B3n de datos</span></p><p style=3D"margin-bottom:0pt; t= ext-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-fa= mily:'Times New Roman'">La recolecci=C3=B3n de datos se desarroll=C3=B3 de = manera secuencial y en correspondencia con el dise=C3=B1o preexperimental G= O=E2=82=81 X O=E2=82=82. En la fase inicial se aplic=C3=B3 a los 28 estudi= antes el pretest de aprendizaje de operaciones combinadas, conformado por 2= 0 =C3=ADtems, con el prop=C3=B3sito de establecer su desempe=C3=B1o previo = en las cuatro dimensiones consideradas en el estudio: jerarqu=C3=ADa de ope= raciones, aplicaci=C3=B3n procedimental, correcci=C3=B3n de errores y resol= uci=C3=B3n contextual. Esta medici=C3=B3n se realiz=C3=B3 antes del inicio = de la intervenci=C3=B3n did=C3=A1ctica.</span></p><p style=3D"margin-bottom= :0pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'">Posteriormente, se implement=C3=B3 la estrat= egia did=C3=A1ctica mediada por GeoGebra durante tres semanas lectivas, con= una frecuencia de dos sesiones semanales, en correspondencia con los dos d= =C3=ADas destinados a Matem=C3=A1tica dentro del horario regular del grupo.= La intervenci=C3=B3n comprendi=C3=B3 seis sesiones de 60 minutos, correspo= ndientes cada una a dos horas acad=C3=A9micas de 30 minutos, para un total = de 360 minutos de trabajo pedag=C3=B3gico. Las seis sesiones se desarrollar= on con el mismo grupo de estudiantes y estuvieron a cargo de la misma docen= te responsable de la intervenci=C3=B3n, siguiendo la secuencia did=C3=A1cti= ca previamente establecida. Se mantuvieron la duraci=C3=B3n prevista de las= sesiones y la organizaci=C3=B3n progresiva de las actividades descritas en= la propuesta, incluido el uso de GeoGebra como recurso de mediaci=C3=B3n m= atem=C3=A1tica. No se aplic=C3=B3 un instrumento independiente para evaluar= formalmente la fidelidad de implementaci=C3=B3n; por tanto, la uniformidad= de la intervenci=C3=B3n se sustent=C3=B3 en el mantenimiento del mismo gru= po, responsable, secuencia did=C3=A1ctica y duraci=C3=B3n durante las seis = sesiones.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line= -height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"= >Una vez concluida la intervenci=C3=B3n, se aplic=C3=B3 a los 28 estudiante= s la forma paralela correspondiente al postest, integrada igualmente por 20= =C3=ADtems y orientada a evaluar las mismas cuatro dimensiones examinadas = en la medici=C3=B3n inicial. Ambas formas conservaron la misma estructura d= imensional, con cinco =C3=ADtems por dimensi=C3=B3n, los mismos criterios d= e calificaci=C3=B3n y una escala de puntuaci=C3=B3n de 0 a 10 puntos; sin e= mbargo, estuvieron conformadas por reactivos diferentes. No se realiz=C3=B3= un procedimiento independiente de equiparaci=C3=B3n psicom=C3=A9trica entr= e ambas formas, condici=C3=B3n que fue considerada al interpretar las difer= encias observadas entre las mediciones. Al tratarse del mismo grupo evaluad= o en ambos momentos, se obtuvieron 28 pares completos de observaciones para= examinar las variaciones registradas entre el pretest y el postest.</span>= </p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; fo= nt-size:12pt"><span style=3D"font-family:'Times New Roman'">Despu=C3=A9s de= la medici=C3=B3n posterior se aplic=C3=B3 a los 28 estudiantes la encuesta= de satisfacci=C3=B3n, con el prop=C3=B3sito de recoger su valoraci=C3=B3n = sobre la experiencia de aprendizaje desarrollada con la estrategia did=C3= =A1ctica y el uso de GeoGebra. La informaci=C3=B3n obtenida mediante este i= nstrumento se trat=C3=B3 de manera diferenciada respecto de las puntuacione= s del pretest y el postest, dado que representa la percepci=C3=B3n de los e= studiantes sobre la experiencia educativa y no una medida directa de su des= empe=C3=B1o matem=C3=A1tico.</span></p><p style=3D"margin-bottom:0pt; text-= align:justify; line-height:115%; font-size:12pt"><span style=3D"font-family= :'Times New Roman'">El componente cualitativo se desarroll=C3=B3 mediante e= ntrevistas semiestructuradas al rector, al vicerrector y al docente de Mate= m=C3=A1ticas. Las respuestas fueron proporcionadas directamente por escrito= por los tres informantes. La informaci=C3=B3n obtenida permiti=C3=B3 recup= erar perspectivas institucionales y pedag=C3=B3gicas relacionadas con las d= ificultades en el aprendizaje de las operaciones combinadas, la implementac= i=C3=B3n pedag=C3=B3gica de GeoGebra, los cambios percibidos durante el pro= ceso, la valoraci=C3=B3n de la estrategia y su proyecci=C3=B3n en el contex= to institucional. Estos datos se emplearon como evidencia complementaria pa= ra ampliar y contrastar la interpretaci=C3=B3n de los resultados cuantitati= vos.</span></p><p class=3D"ListParagraph" style=3D"margin-bottom:0pt; text-= indent:-18pt; text-align:justify; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'; font-style:italic"><span>2.8.</span>= </span><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </s= pan><span style=3D"font-family:'Times New Roman'; font-style:italic">An=C3= =A1lisis de datos</span></p><p style=3D"margin-bottom:0pt; text-align:justi= fy; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New= Roman'">Los datos cuantitativos fueron organizados a partir de las respues= tas obtenidas en el pretest, postest y encuesta de satisfacci=C3=B3n. Para = las puntuaciones globales del pretest y postest se calcularon estad=C3=ADst= icos descriptivos de tendencia central y dispersi=C3=B3n, incluidos media, = desviaci=C3=B3n est=C3=A1ndar, mediana, m=C3=ADnimo y m=C3=A1ximo. Tambi=C3= =A9n se obtuvieron las puntuaciones medias correspondientes a las cuatro di= mensiones de la prueba: jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n proc= edimental, correcci=C3=B3n de errores y resoluci=C3=B3n contextual.</span><= /p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'">Para seleccionar= el procedimiento inferencial se examin=C3=B3 la distribuci=C3=B3n de las d= iferencias entre las puntuaciones del postest y el pretest mediante la prue= ba de Shapiro-Wilk. El resultado evidenci=C3=B3 un apartamiento estad=C3=AD= sticamente significativo de la normalidad (</span><span style=3D"font-famil= y:'Times New Roman'; font-style:italic">W</span><span style=3D"font-family:= 'Times New Roman'"> =3D .921, </span><span style=3D"font-family:'Times New = Roman'; font-style:italic">p</span><span style=3D"font-family:'Times New Ro= man'"> =3D .038). En consideraci=C3=B3n de este resultado y del car=C3=A1ct= er pareado de las mediciones, la comparaci=C3=B3n entre ambos momentos se r= ealiz=C3=B3 mediante la prueba de rangos con signo de Wilcoxon, establecien= do un nivel de significaci=C3=B3n de =CE=B1 =3D .05. El an=C3=A1lisis compr= endi=C3=B3 los 28 pares de observaciones; 27 presentaron diferencias distin= tas de cero y un caso registr=C3=B3 empate, por lo que este =C3=BAltimo no = particip=C3=B3 en la asignaci=C3=B3n de rangos de Wilcoxon.</span></p><p st= yle=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:1= 2pt"><span style=3D"font-family:'Times New Roman'">La magnitud de la difere= ncia entre ambas mediciones se examin=C3=B3 mediante el tama=C3=B1o del efe= cto </span><span style=3D"font-family:'Times New Roman'; font-style:italic"= >r</span><span style=3D"font-family:'Times New Roman'">. Como estimaci=C3= =B3n complementaria del cambio observado, se obtuvo el estimador de Hodges-= Lehmann. Estos indicadores se utilizaron junto con la significaci=C3=B3n es= tad=C3=ADstica del contraste para caracterizar la magnitud y direcci=C3=B3n= de las diferencias entre las mediciones. Los an=C3=A1lisis estad=C3=ADstic= os se realizaron mediante Jamovi, versi=C3=B3n 2.7.38.</span></p><p style= =3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt= "><span style=3D"font-family:'Times New Roman'">Los datos de la encuesta de= satisfacci=C3=B3n se analizaron mediante estad=C3=ADsticos descriptivos po= r dimensiones, considerando media, desviaci=C3=B3n est=C3=A1ndar, mediana y= porcentaje de respuestas favorables; para este =C3=BAltimo indicador se ag= ruparon las categor=C3=ADas =E2=80=9CDe acuerdo=E2=80=9D y =E2=80=9CTotalme= nte de acuerdo=E2=80=9D.</span></p><p style=3D"margin-bottom:0pt; text-alig= n:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Ti= mes New Roman'">Para el componente cualitativo se realiz=C3=B3 un an=C3=A1l= isis tem=C3=A1tico de las respuestas escritas proporcionadas por el docente= de Matem=C3=A1ticas, el rector y el vicerrector mediante las entrevistas s= emiestructuradas. Al tratarse de respuestas registradas directamente por es= crito, no fue necesario realizar un proceso de transcripci=C3=B3n de regist= ros orales. El an=C3=A1lisis se orient=C3=B3 a identificar unidades de sign= ificado vinculadas con los prop=C3=B3sitos de la investigaci=C3=B3n y a org= anizarlas en cinco ejes anal=C3=ADticos: dificultades iniciales en el apren= dizaje matem=C3=A1tico, implementaci=C3=B3n pedag=C3=B3gica de GeoGebra, ca= mbios percibidos durante la intervenci=C3=B3n, valoraci=C3=B3n de la estrat= egia y condiciones para su continuidad. Las respuestas de los tres informan= tes fueron examinadas comparativamente dentro de cada eje para identificar = coincidencias, matices y aportes complementarios.</span></p><p style=3D"mar= gin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'">La integraci=C3=B3n de los compone= ntes cuantitativo y cualitativo se realiz=C3=B3 en la fase de interpretaci= =C3=B3n mediante un procedimiento de triangulaci=C3=B3n basado en criterios= de convergencia, complementariedad y divergencia. Los cambios observados e= n las puntuaciones del pretest y postest se contrastaron con la valoraci=C3= =B3n de los estudiantes obtenida mediante la encuesta y con las percepcione= s de los informantes institucionales recogidas en las entrevistas. Se consi= der=C3=B3 convergencia cuando las diferentes fuentes aportaron evidencia co= incidente sobre un mismo aspecto; complementariedad cuando una fuente permi= ti=C3=B3 ampliar o contextualizar los resultados de otra; y divergencia cua= ndo se identificaron apreciaciones que no coincid=C3=ADan con el patr=C3=B3= n observado en los restantes datos. Esta integraci=C3=B3n permiti=C3=B3 con= struir una interpretaci=C3=B3n conjunta del fen=C3=B3meno sin atribuir a la= s percepciones cualitativas una funci=C3=B3n de confirmaci=C3=B3n causal de= los cambios cuantitativos.</span></p><p class=3D"ListParagraph" style=3D"m= argin-bottom:0pt; text-indent:-18pt; text-align:justify; line-height:115%; = font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-style:it= alic"><span>2.9.</span></span><span style=3D"font-family:'Times New Roman';= font-weight:bold"> </span><span style=3D"font-family:'Times New Roman'; fo= nt-style:italic">Consideraciones =C3=A9ticas</span></p><p style=3D"margin-b= ottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'">El estudio se desarroll=C3=B3 respetand= o los principios de participaci=C3=B3n voluntaria, confidencialidad y uso a= cad=C3=A9mico de la informaci=C3=B3n. Antes de la recolecci=C3=B3n de los d= atos se inform=C3=B3 a los participantes sobre el prop=C3=B3sito del estudi= o, las actividades previstas y el tratamiento de la informaci=C3=B3n obteni= da. La participaci=C3=B3n de los estudiantes en la recolecci=C3=B3n de dato= s se realiz=C3=B3 con su conocimiento y consentimiento, preservando su iden= tidad mediante el tratamiento an=C3=B3nimo de las respuestas y la presentac= i=C3=B3n agregada de los resultados.</span></p><p style=3D"margin-bottom:0p= t; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"fon= t-family:'Times New Roman'">La ejecuci=C3=B3n del estudio cont=C3=B3 con la= autorizaci=C3=B3n institucional de la Unidad Educativa Santa Marianita par= a desarrollar la intervenci=C3=B3n did=C3=A1ctica y aplicar los instrumento= s de recolecci=C3=B3n de datos en el contexto educativo correspondiente. La= informaci=C3=B3n obtenida mediante el pretest, postest, encuesta de satisf= acci=C3=B3n y entrevistas semiestructuradas fue utilizada exclusivamente co= n fines investigativos y acad=C3=A9micos. Los documentos y archivos de resp= aldo fueron conservados bajo custodia de las investigadoras, evitando la in= corporaci=C3=B3n o divulgaci=C3=B3n de informaci=C3=B3n que permitiera iden= tificar individualmente a los participantes. Los informantes institucionale= s fueron igualmente informados sobre el prop=C3=B3sito de las entrevistas y= el uso investigativo de sus aportes.</span></p><p style=3D"margin-bottom:0= pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'">Dado que todos los estudiantes participantes e= ran mayores de 18 a=C3=B1os, no se requiri=C3=B3 asentimiento de menores ni= consentimiento de representantes legales. El estudio no fue sometido a eva= luaci=C3=B3n por un comit=C3=A9 de =C3=A9tica de investigaci=C3=B3n; por el= lo, el resguardo =C3=A9tico se sustent=C3=B3 en la autorizaci=C3=B3n instit= ucional, el consentimiento informado de los participantes adultos, la parti= cipaci=C3=B3n voluntaria y la protecci=C3=B3n de la confidencialidad de la = informaci=C3=B3n.</span></p><p class=3D"ListParagraph" style=3D"margin-top:= 12pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span style=3D"f= ont-family:'Times New Roman'; font-weight:bold; color:#767171"><span>3.</sp= an></span><span style=3D"width:9pt; font:7pt 'Times New Roman'; display:inl= ine-block">      </span><span style=3D"font-family= :'Times New Roman'; font-weight:bold; color:#767171">Resultados</span><span= style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171">&= #xa0; </span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-he= ight:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">Lo= s resultados se organizaron de acuerdo con los componentes cuantitativo y c= ualitativo definidos en el estudio. En primer lugar, se examin=C3=B3 el des= empe=C3=B1o de los 28 estudiantes en las mediciones pretest y postest, tant= o en la puntuaci=C3=B3n global como en las cuatro dimensiones de la prueba.= Posteriormente, se analiz=C3=B3 la significaci=C3=B3n estad=C3=ADstica de = las diferencias entre ambas mediciones y su magnitud. Finalmente, se presen= tan los resultados de la encuesta de satisfacci=C3=B3n y de las entrevistas= semiestructuradas, cuya integraci=C3=B3n permiti=C3=B3 contrastar el desem= pe=C3=B1o observado con las percepciones de los participantes e informantes= institucionales.</span></p><p style=3D"margin-bottom:0pt; text-align:justi= fy; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New= Roman'">La comparaci=C3=B3n descriptiva evidenci=C3=B3 un desplazamiento d= e las puntuaciones hacia valores superiores en la medici=C3=B3n posterior. = En el pretest, los 28 estudiantes obtuvieron una media de 5,54 puntos (DE= =3D1,04) y una mediana de 6,00, con puntuaciones comprendidas entre 3,00 y = 7,50. En el postest, la media ascendi=C3=B3 a 7,80 puntos (DE =3D 0,86) y l= a mediana a 8,00, con valores entre 6,00 y 9,50. La diferencia media entre = ambas mediciones fue de 2,27 puntos. Como se muestra en la </span><span sty= le=3D"font-family:'Times New Roman'; font-weight:bold">Tabla 1</span><span = style=3D"font-family:'Times New Roman'">, en el an=C3=A1lisis individual, 2= 7 estudiantes presentaron puntuaciones superiores en el postest, mientras q= ue uno mantuvo la misma puntuaci=C3=B3n en ambas mediciones; no se registra= ron disminuciones.</span></p><p style=3D"margin-top:12pt; margin-bottom:0pt= ; text-align:center; line-height:115%; font-size:12pt"><span style=3D"font-= family:'Times New Roman'; font-weight:bold">Tabla 1</span></p><p style=3D"m= argin-bottom:0pt; text-align:center; line-height:115%; font-size:12pt"><spa= n style=3D"font-family:'Times New Roman'; font-style:italic">Estad=C3=ADsti= cos descriptivos de las puntuaciones globales en el pretest y postest</span= ></p><table style=3D"width:100%; margin-bottom:0pt; padding:0pt; border-col= lapse:collapse"><tr><td style=3D"width:14.28%; border-top:0.75pt solid #000= 000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:= top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">Medici=C3=B3n</= span></p></td><td style=3D"width:14.28%; border-top:0.75pt solid #000000; b= order-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><= p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-siz= e:10pt"><span style=3D"font-family:'Times New Roman'">N</span></p></td><td = style=3D"width:14.28%; border-top:0.75pt solid #000000; border-bottom:0.75p= t solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-= bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span styl= e=3D"font-family:'Times New Roman'">Media</span></p></td><td style=3D"width= :14.28%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; te= xt-align:center; line-height:115%; font-size:10pt"><span style=3D"font-fami= ly:'Times New Roman'">DE</span></p></td><td style=3D"width:14.3%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">Mediana</span></p></td><td style=3D"width:14.3%; border-top:0.75pt soli= d #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-= align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:11= 5%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">M=C3=ADni= mo</span></p></td><td style=3D"width:14.3%; border-top:0.75pt solid #000000= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= "><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-= size:10pt"><span style=3D"font-family:'Times New Roman'">M=C3=A1ximo</span>= </p></td></tr><tr><td style=3D"width:14.28%; border-top:0.75pt solid #00000= 0; border-right:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vertica= l-align:top"><p style=3D"margin-bottom:0pt; text-align:justify; line-height= :115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Pretes= t</span></p></td><td style=3D"width:14.28%; border-top:0.75pt solid #000000= ; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; = text-align:center; line-height:115%; font-size:10pt"><span style=3D"font-fa= mily:'Times New Roman'">28</span></p></td><td style=3D"width:14.28%; border= -top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p sty= le=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">5,54</span></p></td><td st= yle=3D"width:14.28%; border-top:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; line= -height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'"= >1,04</span></p></td><td style=3D"width:14.3%; border-top:0.75pt solid #000= 000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0p= t; text-align:center; line-height:115%; font-size:10pt"><span style=3D"font= -family:'Times New Roman'">6,00</span></p></td><td style=3D"width:14.3%; bo= rder-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p= style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size= :10pt"><span style=3D"font-family:'Times New Roman'">3,00</span></p></td><t= d style=3D"width:14.3%; border-top:0.75pt solid #000000; padding:0pt 5.4pt;= vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">7,50</span></p></td></tr><tr><td style=3D"width:14.28%; border-right:0.= 75pt solid #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt = 0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:ju= stify; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times = New Roman'">Postest</span></p></td><td style=3D"width:14.28%; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"= ><span style=3D"font-family:'Times New Roman'">28</span></p></td><td style= =3D"width:14.28%; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; line= -height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'"= >7,80</span></p></td><td style=3D"width:14.28%; border-bottom:0.75pt solid = #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-botto= m:0pt; text-align:center; line-height:115%; font-size:10pt"><span style=3D"= font-family:'Times New Roman'">0,86</span></p></td><td style=3D"width:14.3%= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:mid= dle"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">8,00</span></p>= </td><td style=3D"width:14.3%; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align= :center; line-height:115%; font-size:10pt"><span style=3D"font-family:'Time= s New Roman'">6,00</span></p></td><td style=3D"width:14.3%; border-bottom:0= .75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"= margin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><sp= an style=3D"font-family:'Times New Roman'">9,50</span></p></td></tr></table= ><p style=3D"text-align:justify; line-height:115%; font-size:10pt"><span st= yle=3D"font-family:'Times New Roman'; font-weight:bold">Nota.</span><span s= tyle=3D"font-family:'Times New Roman'"> Las puntuaciones se expresan en una= escala de 0 a 10 puntos. DE =3D desviaci=C3=B3n est=C3=A1ndar.</span></p><= p class=3D"ListParagraph" style=3D"margin-bottom:0pt; text-indent:-18pt; te= xt-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-fam= ily:'Times New Roman'; font-style:italic"><span>3.1.</span></span><span sty= le=3D"font-family:'Times New Roman'; font-weight:bold"> </span><span style= =3D"font-family:'Times New Roman'; font-style:italic">Desempe=C3=B1o por di= mensiones de aprendizaje</span></p><p style=3D"margin-bottom:0pt; text-alig= n:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Ti= mes New Roman'">El an=C3=A1lisis por dimensiones mostr=C3=B3 incrementos en= las puntuaciones medias de los cuatro componentes evaluados entre el prete= st y el postest. La mayor puntuaci=C3=B3n inicial correspondi=C3=B3 a jerar= qu=C3=ADa de operaciones, cuya media pas=C3=B3 de 2,07 a 2,36 puntos sobre = un m=C3=A1ximo de 2,5. En aplicaci=C3=B3n procedimental, la media aument=C3= =B3 de 1,34 a 1,96, mientras que en correcci=C3=B3n de errores se increment= =C3=B3 de 1,41 a 2,05. La resoluci=C3=B3n contextual present=C3=B3 el desem= pe=C3=B1o inicial m=C3=A1s bajo y, aunque registr=C3=B3 un aumento de 0,71 = a 1,43 puntos, permaneci=C3=B3 como la dimensi=C3=B3n con menor puntuaci=C3= =B3n media en el postest. De acuerdo con la </span><span style=3D"font-fami= ly:'Times New Roman'; font-weight:bold">Tabla 2</span><span style=3D"font-f= amily:'Times New Roman'">, en conjunto, los resultados descriptivos muestra= n incrementos en las puntuaciones medias de las cuatro dimensiones, con mag= nitudes diferentes seg=C3=BAn el componente evaluado.</span></p><p style=3D= "margin-bottom:0pt; text-align:center; line-height:115%; font-size:12pt"><s= pan style=3D"font-family:'Times New Roman'; font-weight:bold">Tabla 2</span= ></p><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; fo= nt-size:12pt"><span style=3D"font-family:'Times New Roman'; font-style:ital= ic">Puntuaciones medias en las dimensiones de aprendizaje seg=C3=BAn moment= o de evaluaci=C3=B3n</span></p><table style=3D"width:98.3%; margin-bottom:0= pt; padding:0pt; border-collapse:collapse"><tr><td style=3D"width:41.26%; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:c= enter; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times = New Roman'">Dimensi=C3=B3n</span></p></td><td style=3D"width:20.78%; border= -top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center= ; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New R= oman'">Pretest M</span></p></td><td style=3D"width:19.8%; border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vert= ical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-heig= ht:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Post= est M</span></p></td><td style=3D"width:18.16%; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align= :top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">Diferencia</sp= an></p></td></tr><tr><td style=3D"width:41.26%; border-top:0.75pt solid #00= 0000; border-right:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vert= ical-align:top"><p style=3D"margin-bottom:0pt; text-align:justify; line-hei= ght:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Jer= arqu=C3=ADa de operaciones</span></p></td><td style=3D"width:20.78%; border= -top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p sty= le=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">2,07</span></p></td><td st= yle=3D"width:19.8%; border-top:0.75pt solid #000000; padding:0pt 5.4pt; ver= tical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-= height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">= 2,36</span></p></td><td style=3D"width:18.16%; border-top:0.75pt solid #000= 000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0p= t; text-align:center; line-height:115%; font-size:10pt"><span style=3D"font= -family:'Times New Roman'">0,29</span></p></td></tr><tr><td style=3D"width:= 41.26%; border-right:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; ve= rtical-align:top"><p style=3D"margin-bottom:0pt; text-align:justify; line-h= eight:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">A= plicaci=C3=B3n procedimental</span></p></td><td style=3D"width:20.78%; padd= ing:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-a= lign:center; line-height:115%; font-size:10pt"><span style=3D"font-family:'= Times New Roman'">1,34</span></p></td><td style=3D"width:19.8%; padding:0pt= 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:ce= nter; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times N= ew Roman'">1,96</span></p></td><td style=3D"width:18.16%; padding:0pt 5.4pt= ; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; = line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Rom= an'">0,63</span></p></td></tr><tr><td style=3D"width:41.26%; border-right:0= .75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:top"><p s= tyle=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:= 10pt"><span style=3D"font-family:'Times New Roman'">Correcci=C3=B3n de erro= res</span></p></td><td style=3D"width:20.78%; padding:0pt 5.4pt; vertical-a= lign:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-height:= 115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">1,41</s= pan></p></td><td style=3D"width:19.8%; padding:0pt 5.4pt; vertical-align:mi= ddle"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">2,05</span></p= ></td><td style=3D"width:18.16%; padding:0pt 5.4pt; vertical-align:middle">= <p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-si= ze:10pt"><span style=3D"font-family:'Times New Roman'">0,64</span></p></td>= </tr><tr><td style=3D"width:41.26%; border-right:0.75pt solid #7f7f7f; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-alig= n:top"><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">Resoluci=C3= =B3n contextual</span></p></td><td style=3D"width:20.78%; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"ma= rgin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span= style=3D"font-family:'Times New Roman'">0,71</span></p></td><td style=3D"w= idth:19.8%; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical= -align:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-heigh= t:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">1,43<= /span></p></td><td style=3D"width:18.16%; border-bottom:0.75pt solid #00000= 0; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt;= text-align:center; line-height:115%; font-size:10pt"><span style=3D"font-f= amily:'Times New Roman'">0,71</span></p></td></tr></table><p style=3D"text-= align:justify; line-height:115%; font-size:9pt"><span style=3D"font-family:= 'Times New Roman'; font-weight:bold">Nota.</span><span style=3D"font-family= :'Times New Roman'"> Cada dimensi=C3=B3n estuvo integrada por cinco =C3=ADt= ems y present=C3=B3 una puntuaci=C3=B3n posible entre 0 y 2,5 puntos. M=3Dm= edia.</span></p><p class=3D"ListParagraph" style=3D"margin-bottom:0pt; text= -indent:-18pt; text-align:justify; line-height:115%; font-size:12pt"><span = style=3D"font-family:'Times New Roman'; font-style:italic"><span>3.2.</span= ></span><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </= span><span style=3D"font-family:'Times New Roman'; font-style:italic">Contr= aste de las puntuaciones entre el pretest y el postest</span></p><p style= =3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt= "><span style=3D"font-family:'Times New Roman'">Antes de realizar la compar= aci=C3=B3n inferencial, se examin=C3=B3 la distribuci=C3=B3n de las diferen= cias entre las puntuaciones del postest y el pretest mediante la prueba de = Shapiro-Wilk. El resultado indic=C3=B3 un apartamiento estad=C3=ADsticament= e significativo de la normalidad (</span><span style=3D"font-family:'Times = New Roman'; font-style:italic">W</span><span style=3D"font-family:'Times Ne= w Roman'">=3D.921, </span><span style=3D"font-family:'Times New Roman'; fon= t-style:italic">p</span><span style=3D"font-family:'Times New Roman'">=3D.0= 38). Considerando este resultado y el car=C3=A1cter pareado de las medicion= es, la comparaci=C3=B3n entre ambos momentos se realiz=C3=B3 mediante la pr= ueba de rangos con signo de Wilcoxon.</span></p><p style=3D"margin-bottom:0= pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'">De los 28 pares de observaciones, 27 presentar= on diferencias positivas y un caso registr=C3=B3 la misma puntuaci=C3=B3n e= n ambas mediciones; no se observaron diferencias negativas. La prueba de ra= ngos con signo de Wilcoxon mostr=C3=B3 una diferencia estad=C3=ADsticamente= significativa entre las puntuaciones del pretest y el postest (</span><spa= n style=3D"font-family:'Times New Roman'; font-style:italic">W</span><span = style=3D"font-family:'Times New Roman'"> =3D 0.00, </span><span style=3D"fo= nt-family:'Times New Roman'; font-style:italic">p</span><span style=3D"font= -family:'Times New Roman'"> < .001), con puntuaciones sistem=C3=A1ticame= nte mayores en la medici=C3=B3n posterior. De acuerdo con la </span><span s= tyle=3D"font-family:'Times New Roman'; font-weight:bold">Tabla 3</span><spa= n style=3D"font-family:'Times New Roman'">, en t=C3=A9rminos del contraste = estad=C3=ADstico, este resultado condujo al rechazo de la hip=C3=B3tesis nu= la de ausencia de diferencias entre ambos momentos. Su interpretaci=C3=B3n = se realiz=C3=B3 considerando las caracter=C3=ADsticas del dise=C3=B1o preex= perimental y las limitaciones psicom=C3=A9tricas identificadas en la prueba= objetiva.</span></p><p style=3D"margin-top:12pt; margin-bottom:0pt; text-a= lign:center; line-height:115%; font-size:12pt"><span style=3D"font-family:'= Times New Roman'; font-weight:bold">Tabla 3</span></p><p style=3D"margin-bo= ttom:0pt; text-align:center; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; font-style:italic">Contraste de las punt= uaciones globales entre el pretest y el postest</span></p><table style=3D"w= idth:100%; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><t= d style=3D"width:23.34%; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margi= n-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span st= yle=3D"font-family:'Times New Roman'">Comparaci=C3=B3n</span></p></td><td s= tyle=3D"width:21.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt= solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-b= ottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">N no nulo</span></p></td><td style=3D"wi= dth:16.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt;= text-align:center; line-height:115%; font-size:10pt"><span style=3D"font-f= amily:'Times New Roman'">W</span></p></td><td style=3D"width:15%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">P</span></p></td><td style=3D"width:23.32%; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align= :top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">r</span></p></= td></tr><tr><td style=3D"width:23.34%; border-top:0.75pt solid #000000; bor= der-right:0.75pt solid #7f7f7f; border-bottom:0.75pt solid #000000; padding= :0pt 5.03pt 0pt 5.4pt; vertical-align:bottom"><p style=3D"margin-bottom:0pt= ; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New R= oman'"> </span></p><p style=3D"margin-bottom:0pt; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">Postest =E2=80= =93 Pretest</span></p><p style=3D"margin-bottom:0pt; line-height:115%; font= -size:10pt"><span style=3D"font-family:'Times New Roman'"> </span></p>= </td><td style=3D"width:21.66%; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p styl= e=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt= "><span style=3D"font-family:'Times New Roman'">27</span></p></td><td style= =3D"width:16.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bo= ttom:0pt; text-align:center; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">0.00</span></p></td><td style=3D"width:1= 5%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text= -align:center; line-height:115%; font-size:10pt"><span style=3D"font-family= :'Times New Roman'">< .001</span></p></td><td style=3D"width:23.32%; bor= der-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0= pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:= center; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times= New Roman'">.88</span></p></td></tr></table><p style=3D"text-align:justify= ; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New R= oman'; font-weight:bold">Nota. </span><span style=3D"font-family:'Times New= Roman'; font-style:italic">W</span><span style=3D"font-family:'Times New R= oman'"> =3D estad=C3=ADstico de rangos con signo de Wilcoxon; </span><span = style=3D"font-family:'Times New Roman'; font-style:italic">r</span><span st= yle=3D"font-family:'Times New Roman'"> =3D tama=C3=B1o del efecto. </span><= /p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'">De los 28 pares = de observaciones, 27 presentaron diferencias positivas y uno registr=C3=B3 = la misma puntuaci=C3=B3n en ambas mediciones; el empate no particip=C3=B3 e= n la asignaci=C3=B3n de rangos.</span></p><p style=3D"margin-bottom:0pt; te= xt-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-fam= ily:'Times New Roman'">La magnitud de la diferencia fue grande (</span><spa= n style=3D"font-family:'Times New Roman'; font-style:italic">r</span><span = style=3D"font-family:'Times New Roman'">=3D.88), lo que indica una separaci= =C3=B3n considerable entre las puntuaciones obtenidas antes y despu=C3=A9s = de la intervenci=C3=B3n en el grupo estudiado. Este resultado complementa l= a significaci=C3=B3n estad=C3=ADstica del contraste al aportar informaci=C3= =B3n sobre la magnitud del cambio observado, sin que ello implique, por s= =C3=AD solo, una atribuci=C3=B3n causal a la estrategia implementada.</span= ></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; f= ont-size:12pt"><span style=3D"font-family:'Times New Roman'">Como estimaci= =C3=B3n complementaria del cambio entre ambas mediciones, el estimador de H= odges=E2=80=93Lehmann fue de 2,25 puntos, con un intervalo de confianza del= 95 % entre 2,00 y 2,50 puntos. Este intervalo se situ=C3=B3 completamente = por encima de cero y fue consistente con la direcci=C3=B3n de las diferenci= as observadas en el contraste de Wilcoxon.</span></p><p class=3D"ListParagr= aph" style=3D"margin-bottom:0pt; text-indent:-18pt; text-align:justify; lin= e-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'= ; font-style:italic"><span>3.3.</span></span><span style=3D"font-family:'Ti= mes New Roman'; font-weight:bold"> </span><span style=3D"font-family:'Times= New Roman'; font-style:italic">Satisfacci=C3=B3n de los estudiantes con la= estrategia did=C3=A1ctica</span></p><p style=3D"margin-bottom:0pt; text-al= ign:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'= Times New Roman'">Los resultados de la encuesta de satisfacci=C3=B3n mostra= ron una valoraci=C3=B3n predominantemente favorable de la experiencia educa= tiva. En la escala de 1 a 5, la puntuaci=C3=B3n media global fue de 4,35 (D= E=3D0,92), con una mediana de 4,60. Seg=C3=BAn la </span><span style=3D"fon= t-family:'Times New Roman'; font-weight:bold">Tabla 4</span><span style=3D"= font-family:'Times New Roman'">, al examinar las cinco dimensiones, las pun= tuaciones medias oscilaron entre 4,02 y 4,51. La valoraci=C3=B3n m=C3=A1s a= lta correspondi=C3=B3 a motivaci=C3=B3n e inter=C3=A9s (M=3D4,51), seguida = de valoraci=C3=B3n general de la estrategia (M=3D4,45), facilidad de uso de= l recurso digital (M=3D4,40), seguridad y autoeficacia percibida (M=3D4,38)= y comprensi=C3=B3n del contenido (M=3D4,02).</span></p><p style=3D"margin-= top:12pt; margin-bottom:0pt; text-align:center; line-height:115%; font-size= :12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold">Tabl= a 4</span></p><p style=3D"margin-bottom:0pt; text-align:center; line-height= :115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-s= tyle:italic">Resultados de la encuesta de satisfacci=C3=B3n seg=C3=BAn dime= nsiones</span></p><table style=3D"width:100%; margin-bottom:0pt; padding:0p= t; border-collapse:collapse"><tr><td style=3D"width:39.6%; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt; ver= tical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-hei= ght:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Dim= ensi=C3=B3n</span></p></td><td style=3D"width:10.9%; border-top:0.75pt soli= d #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt; vertical-= align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:11= 5%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">M</span><= /p></td><td style=3D"width:9.9%; border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #7f7f7f; padding:0pt 5.4pt; vertical-align:top"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"= ><span style=3D"font-family:'Times New Roman'">DE</span></p></td><td style= =3D"width:14.36%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #7f7f7f; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-botto= m:0pt; text-align:center; line-height:115%; font-size:10pt"><span style=3D"= font-family:'Times New Roman'">Mediana</span></p></td><td style=3D"width:25= .24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; = padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-= align:center; line-height:115%; font-size:10pt"><span style=3D"font-family:= 'Times New Roman'">Acuerdo favorable (%)</span></p></td></tr><tr><td style= =3D"width:39.6%; border-top:0.75pt solid #7f7f7f; border-right:0.75pt solid= #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt;= vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">Comprensi=C3=B3= n del contenido</span></p></td><td style=3D"width:10.9%; border-top:0.75pt = solid #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; verti= cal-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-he= ight:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">4,= 02</span></p></td><td style=3D"width:9.9%; border-top:0.75pt solid #7f7f7f;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:midd= le"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; fon= t-size:10pt"><span style=3D"font-family:'Times New Roman'">1,52</span></p><= /td><td style=3D"width:14.36%; border-top:0.75pt solid #7f7f7f; border-bott= om:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"= ><span style=3D"font-family:'Times New Roman'">4,75</span></p></td><td styl= e=3D"width:25.24%; border-top:0.75pt solid #7f7f7f; border-bottom:0.75pt so= lid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-b= ottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">77,7</span></p></td></tr><tr><td style= =3D"width:39.6%; border-top:0.75pt solid #000000; border-right:0.75pt solid= #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle"><p style=3D"= margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-fa= mily:'Times New Roman'">Facilidad de uso del recurso digital</span></p></td= ><td style=3D"width:10.9%; border-top:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center= ; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New R= oman'">4,40</span></p></td><td style=3D"width:9.9%; border-top:0.75pt solid= #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bott= om:0pt; text-align:center; line-height:115%; font-size:10pt"><span style=3D= "font-family:'Times New Roman'">1,13</span></p></td><td style=3D"width:14.3= 6%; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:midd= le"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; fon= t-size:10pt"><span style=3D"font-family:'Times New Roman'">4,88</span></p><= /td><td style=3D"width:25.24%; border-top:0.75pt solid #000000; padding:0pt= 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:ce= nter; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times N= ew Roman'">89,3</span></p></td></tr><tr><td style=3D"width:39.6%; border-ri= ght:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:midd= le"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span = style=3D"font-family:'Times New Roman'">Motivaci=C3=B3n e inter=C3=A9s</spa= n></p></td><td style=3D"width:10.9%; padding:0pt 5.4pt; vertical-align:midd= le"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; fon= t-size:10pt"><span style=3D"font-family:'Times New Roman'">4,51</span></p><= /td><td style=3D"width:9.9%; padding:0pt 5.4pt; vertical-align:middle"><p s= tyle=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:1= 0pt"><span style=3D"font-family:'Times New Roman'">0,91</span></p></td><td = style=3D"width:14.36%; padding:0pt 5.4pt; vertical-align:middle"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"= ><span style=3D"font-family:'Times New Roman'">4,75</span></p></td><td styl= e=3D"width:25.24%; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"ma= rgin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span= style=3D"font-family:'Times New Roman'">92,9</span></p></td></tr><tr><td s= tyle=3D"width:39.6%; border-right:0.75pt solid #7f7f7f; padding:0pt 5.03pt = 0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-heigh= t:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Segur= idad y autoeficacia percibida</span></p></td><td style=3D"width:10.9%; padd= ing:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-a= lign:center; line-height:115%; font-size:10pt"><span style=3D"font-family:'= Times New Roman'">4,38</span></p></td><td style=3D"width:9.9%; padding:0pt = 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:cen= ter; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times Ne= w Roman'">1,08</span></p></td><td style=3D"width:14.36%; padding:0pt 5.4pt;= vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">4,75</span></p></td><td style=3D"width:25.24%; padding:0pt 5.4pt; verti= cal-align:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-he= ight:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">85= ,7</span></p></td></tr><tr><td style=3D"width:39.6%; border-right:0.75pt so= lid #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4= pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">Valoraci=C3= =B3n general de la estrategia</span></p></td><td style=3D"width:10.9%; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><= p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-siz= e:10pt"><span style=3D"font-family:'Times New Roman'">4,45</span></p></td><= td style=3D"width:9.9%; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center= ; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New R= oman'">1,10</span></p></td><td style=3D"width:14.36%; border-bottom:0.75pt = solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin= -bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span sty= le=3D"font-family:'Times New Roman'">5,00</span></p></td><td style=3D"width= :25.24%; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-height:1= 15%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">89,3</sp= an></p></td></tr></table><p style=3D"text-align:justify; line-height:115%; = font-size:10pt"><span style=3D"font-family:'Times New Roman'; font-weight:b= old">Nota.</span><span style=3D"font-family:'Times New Roman'"> M =3D media= ; DE =3D desviaci=C3=B3n est=C3=A1ndar. </span></p><p style=3D"margin-botto= m:0pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D= "font-family:'Times New Roman'">Las puntuaciones se calcularon en una escal= a de 1 a 5. El porcentaje de acuerdo favorable corresponde conjuntamente a = las respuestas =E2=80=9CDe acuerdo=E2=80=9D y =E2=80=9CTotalmente de acuerd= o=E2=80=9D de los cuatro =C3=ADtems que integraron cada dimensi=C3=B3n.</sp= an></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%;= font-size:12pt"><span style=3D"font-family:'Times New Roman'">La proporci= =C3=B3n de respuestas favorables super=C3=B3 el 75 % en las cinco dimension= es. Motivaci=C3=B3n e inter=C3=A9s present=C3=B3 el porcentaje m=C3=A1s ele= vado de acuerdo favorable (92,9%), mientras que comprensi=C3=B3n del conten= ido registr=C3=B3 el menor (77,7%) y una mayor dispersi=C3=B3n de las puntu= aciones (DE=3D1,52). Este patr=C3=B3n muestra que la valoraci=C3=B3n positi= va fue m=C3=A1s consistente en los componentes vinculados con el inter=C3= =A9s, el uso del recurso y la apreciaci=C3=B3n general de la estrategia que= en la percepci=C3=B3n de comprensi=C3=B3n del contenido.</span></p><p clas= s=3D"ListParagraph" style=3D"margin-bottom:0pt; text-indent:-18pt; text-ali= gn:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'T= imes New Roman'; font-style:italic"><span>3.4.</span></span><span style=3D"= font-family:'Times New Roman'; font-weight:bold"> </span><span style=3D"fon= t-family:'Times New Roman'; font-style:italic">Percepciones de los informan= tes sobre la implementaci=C3=B3n de la estrategia</span></p><p style=3D"mar= gin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'">El an=C3=A1lisis de las entrevista= s al docente de Matem=C3=A1ticas, rector y vicerrector permiti=C3=B3 identi= ficar convergencias y matices en torno a cinco ejes: dificultades iniciales= en el aprendizaje matem=C3=A1tico, implementaci=C3=B3n pedag=C3=B3gica de = GeoGebra, cambios percibidos durante la intervenci=C3=B3n, valoraci=C3=B3n = de la estrategia y condiciones para su continuidad. Las perspectivas recogi= das complementaron los resultados cuantitativos al aportar informaci=C3=B3n= sobre la experiencia desarrollada en el aula y su valoraci=C3=B3n desde lo= s =C3=A1mbitos pedag=C3=B3gico e institucional.</span></p><p style=3D"margi= n-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'">En relaci=C3=B3n con las dificultade= s iniciales, los tres informantes coincidieron en se=C3=B1alar debilidades = previas que condicionaban el aprendizaje de las operaciones combinadas. El = docente destac=C3=B3 la tendencia de los estudiantes a resolver las expresi= ones sin considerar adecuadamente la prioridad de las operaciones ni los si= gnos de agrupaci=C3=B3n, se=C3=B1alando que =E2=80=9Cel error estrella era = resolver siempre de izquierda a derecha=E2=80=9D (docente de matem=C3=A1tic= as). Desde la perspectiva institucional, el rector relacion=C3=B3 estas dif= icultades con las trayectorias educativas interrumpidas, las responsabilida= des laborales y familiares y el rezago acumulado de parte de la poblaci=C3= =B3n atendida. El vicerrector enfatiz=C3=B3, por su parte, =E2=80=9Cla falt= a de base en operaciones fundamentales y el desconocimiento de la jerarqu= =C3=ADa operacional=E2=80=9D. Estas apreciaciones son consistentes con las = dificultades observadas en la medici=C3=B3n inicial, aunque corresponden a = percepciones de los informantes y no constituyen por s=C3=AD mismas una med= ici=C3=B3n del desempe=C3=B1o. </span></p><p style=3D"margin-bottom:0pt; te= xt-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-fam= ily:'Times New Roman'">Respecto de la implementaci=C3=B3n, los informantes = valoraron especialmente el car=C3=A1cter visual de GeoGebra y la posibilida= d de hacer expl=C3=ADcitos los procedimientos de resoluci=C3=B3n. El docent= e indic=C3=B3 que la visualizaci=C3=B3n del proceso favoreci=C3=B3 la parti= cipaci=C3=B3n y permiti=C3=B3 contrastar los procedimientos realizados en e= l cuaderno con los resultados obtenidos mediante el recurso digital. El vic= errector destac=C3=B3 el cambio en la funci=C3=B3n docente durante la exper= iencia al expresar que =E2=80=9Cel docente dej=C3=B3 de ser quien dicta reg= las para ser un mediador que gu=C3=ADa la resoluci=C3=B3n a trav=C3=A9s del= software=E2=80=9D. Desde una perspectiva institucional, el rector vincul= =C3=B3 la incorporaci=C3=B3n tecnol=C3=B3gica con la renovaci=C3=B3n de las= pr=C3=A1cticas de ense=C3=B1anza dirigidas a estudiantes de modalidad extr= aordinaria. En cuanto a los cambios percibidos, los informantes mencionaron= una mayor atenci=C3=B3n a la jerarqu=C3=ADa operacional, mayor seguridad p= ara abordar los ejercicios y una disposici=C3=B3n m=C3=A1s favorable hacia = el trabajo matem=C3=A1tico. </span></p><p style=3D"margin-bottom:0pt; text-= align:justify; line-height:115%; font-size:12pt"><span style=3D"font-family= :'Times New Roman'">Las entrevistas tambi=C3=A9n permitieron identificar co= ndiciones que pueden limitar o favorecer la continuidad de la estrategia. E= l docente se=C3=B1al=C3=B3 el tiempo disponible por sesi=C3=B3n y la conven= iencia de ampliar las oportunidades de manipulaci=C3=B3n individual de GeoG= ebra; el rector destac=C3=B3 restricciones relacionadas con la infraestruct= ura, la conectividad y el mantenimiento de los equipos; y el vicerrector se= =C3=B1al=C3=B3 la necesidad de atender los diferentes ritmos de aprendizaje= y garantizar la disponibilidad de los espacios tecnol=C3=B3gicos. Como pos= ibilidades de continuidad, los informantes plantearon la capacitaci=C3=B3n = docente, la ampliaci=C3=B3n del uso de la herramienta a otros contenidos ma= tem=C3=A1ticos y una mayor incorporaci=C3=B3n de problemas contextualizados= .</span></p><p class=3D"ListParagraph" style=3D"margin-bottom:0pt; text-ind= ent:-18pt; text-align:justify; line-height:115%; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'; font-style:italic"><span>3.5.</span></s= pan><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </span= ><span style=3D"font-family:'Times New Roman'; font-style:italic">Integraci= =C3=B3n de los resultados cuantitativos y cualitativos</span></p><p style= =3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt= "><span style=3D"font-family:'Times New Roman'">La integraci=C3=B3n de los = resultados permiti=C3=B3 identificar convergencias, complementariedades y m= atices entre el desempe=C3=B1o matem=C3=A1tico observado, la valoraci=C3=B3= n de los estudiantes y las percepciones de los informantes. Las puntuacione= s del postest fueron superiores a las del pretest en 27 de los 28 participa= ntes, con una diferencia estad=C3=ADsticamente significativa y de magnitud = grande. Este patr=C3=B3n fue acompa=C3=B1ado por percepciones favorables de= l docente, rector y vicerrector respecto de una mayor atenci=C3=B3n a la je= rarqu=C3=ADa operacional, mayor seguridad para abordar los ejercicios y una= disposici=C3=B3n m=C3=A1s favorable hacia el trabajo matem=C3=A1tico. A su= vez, las valoraciones elevadas en motivaci=C3=B3n e inter=C3=A9s y facilid= ad de uso del recurso digital aportaron informaci=C3=B3n complementaria sob= re la aceptaci=C3=B3n de la experiencia por parte de los estudiantes. La co= nvergencia entre estas fuentes se interpret=C3=B3 como complementariedad en= tre evidencias de distinta naturaleza y no como confirmaci=C3=B3n independi= ente de un efecto causal de la estrategia.</span></p><p style=3D"margin-top= :12pt; margin-bottom:0pt; text-align:center; line-height:115%; font-size:12= pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold">Tabla 5= </span></p><p style=3D"margin-bottom:0pt; text-align:center; line-height:11= 5%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-styl= e:italic">Integraci=C3=B3n de los principales hallazgos cuantitativos y cua= litativos</span></p><table style=3D"width:100%; margin-bottom:0pt; padding:= 0pt; border-collapse:collapse"><tr><td style=3D"width:23.32%; border-top:0.= 75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; = vertical-align:top; background-color:#ffffff"><p style=3D"margin-bottom:0pt= ; text-align:center; line-height:115%; font-size:10pt"><span style=3D"font-= family:'Times New Roman'">Eje de integraci=C3=B3n</span></p></td><td style= =3D"width:23.32%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:0pt 5.4pt; vertical-align:top; background-color:#ffffff= "><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-= size:10pt"><span style=3D"font-family:'Times New Roman'">Evidencia cuantita= tiva</span></p></td><td style=3D"width:25.7%; border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:t= op; background-color:#ffffff"><p style=3D"margin-bottom:0pt; text-align:cen= ter; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times Ne= w Roman'">Evidencia perceptiva/cualitativa</span></p></td><td style=3D"widt= h:27.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0000= 00; padding:0pt 5.4pt; vertical-align:top; background-color:#ffffff"><p sty= le=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">Lectura integrada</span></= p></td></tr><tr><td style=3D"width:23.32%; border-top:0.75pt solid #000000;= border-right:0.75pt solid #7f7f7f; border-bottom:0.75pt solid #000000; pad= ding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-color:#ffffff"= ><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span sty= le=3D"font-family:'Times New Roman'">Desempe=C3=B1o matem=C3=A1tico</span><= /p></td><td style=3D"width:23.32%; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; back= ground-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:115%; font= -size:10pt"><span style=3D"font-family:'Times New Roman'">Media global: 5,5= 4 =E2=86=92 7,80; 27 diferencias positivas y un empate; p < .001; r =3D = .88</span></p></td><td style=3D"width:25.7%; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:mi= ddle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:= 115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Los inf= ormantes percibieron mayor atenci=C3=B3n al orden de las operaciones y mayo= r seguridad en la resoluci=C3=B3n</span></p></td><td style=3D"width:27.66%;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"= margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-fa= mily:'Times New Roman'">Las puntuaciones posteriores m=C3=A1s altas fueron = acompa=C3=B1adas por percepciones favorables sobre el desempe=C3=B1o durant= e la intervenci=C3=B3n; ambas evidencias son complementarias y no equivalen= tes</span></p></td></tr><tr><td style=3D"width:23.32%; border-top:0.75pt so= lid #000000; border-right:0.75pt solid #7f7f7f; border-bottom:0.75pt solid = #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-co= lor:#ffffff"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">Dimensiones de aprendizaje= </span></p></td><td style=3D"width:23.32%; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:midd= le"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span = style=3D"font-family:'Times New Roman'">Incrementos descriptivos en las cua= tro dimensiones; resoluci=C3=B3n contextual: 0,71 =E2=86=92 1,43</span></p>= </td><td style=3D"width:25.7%; border-top:0.75pt solid #000000; border-bott= om:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style= =3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"fon= t-family:'Times New Roman'">Los informantes se=C3=B1alaron avances procedim= entales y la necesidad de continuar fortaleciendo la resoluci=C3=B3n de pro= blemas contextualizados</span></p></td><td style=3D"width:27.66%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">El increment= o descriptivo coexisti=C3=B3 con dificultades persistentes, particularmente= en resoluci=C3=B3n contextual</span></p></td></tr><tr><td style=3D"width:2= 3.32%; border-top:0.75pt solid #000000; border-right:0.75pt solid #7f7f7f; = border-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-= align:middle; background-color:#ffffff"><p style=3D"margin-bottom:0pt; line= -height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'"= >Experiencia con GeoGebra</span></p></td><td style=3D"width:23.32%; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"margin-b= ottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">Motivaci=C3=B3n e inter=C3=A9s: 92,9 % de acuerdo favorable= ; facilidad de uso: 89,3 %</span></p></td><td style=3D"width:25.7%; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"margin-b= ottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">Los informantes destacaron la visualizaci=C3=B3n de procedi= mientos, la participaci=C3=B3n y el contraste entre procedimientos manuales= y digitales</span></p></td><td style=3D"width:27.66%; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertica= l-align:middle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; li= ne-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman= '">Convergencia entre la aceptaci=C3=B3n estudiantil y la valoraci=C3=B3n p= edag=C3=B3gica del recurso</span></p></td></tr><tr><td style=3D"width:23.32= %; border-top:0.75pt solid #000000; border-right:0.75pt solid #7f7f7f; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-alig= n:middle; background-color:#ffffff"><p style=3D"margin-bottom:0pt; line-hei= ght:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Pro= yecci=C3=B3n de la estrategia</span></p></td><td style=3D"width:23.32%; bor= der-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0= pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height= :115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">=E2=80= =94</span></p></td><td style=3D"width:25.7%; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:mi= ddle"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><spa= n style=3D"font-family:'Times New Roman'">Se identificaron necesidades de c= apacitaci=C3=B3n, infraestructura, conectividad, tiempo y acceso a recursos= tecnol=C3=B3gicos</span></p></td><td style=3D"width:27.66%; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%; font= -size:10pt"><span style=3D"font-family:'Times New Roman'">La continuidad de= la estrategia depende de condiciones pedag=C3=B3gicas e institucionales qu= e exceden la aceptaci=C3=B3n del recurso</span></p></td></tr></table><p sty= le=3D"text-align:justify; line-height:115%; font-size:10pt"><span style=3D"= font-family:'Times New Roman'; font-weight:bold">Nota.</span><span style=3D= "font-family:'Times New Roman'"> La integraci=C3=B3n relaciona resultados p= rocedentes de la prueba objetiva, la encuesta de satisfacci=C3=B3n y las en= trevistas semiestructuradas. Las asociaciones identificadas se interpretan = en el contexto del grupo estudiado y no implican atribuci=C3=B3n causal.</s= pan></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%= ; font-size:12pt"><span style=3D"font-family:'Times New Roman'">Como se mue= stra en la </span><span style=3D"font-family:'Times New Roman'; font-weight= :bold">Tabla 5</span><span style=3D"font-family:'Times New Roman'">, en con= junto, la integraci=C3=B3n mostr=C3=B3 una convergencia entre el incremento= de las puntuaciones matem=C3=A1ticas, la valoraci=C3=B3n favorable de la e= xperiencia por parte de los estudiantes y las percepciones positivas de los= informantes sobre el proceso desarrollado. No obstante, la evidencia tambi= =C3=A9n mostr=C3=B3 matices relevantes: la resoluci=C3=B3n contextual perma= neci=C3=B3 como la dimensi=C3=B3n de menor desempe=C3=B1o, la percepci=C3= =B3n de comprensi=C3=B3n del contenido present=C3=B3 mayor variabilidad que= otros componentes de satisfacci=C3=B3n y los informantes identificaron con= diciones institucionales que pueden incidir en la sostenibilidad de la estr= ategia. Por tanto, los resultados describen un patr=C3=B3n favorable poster= ior a la intervenci=C3=B3n, acompa=C3=B1ado de aspectos pedag=C3=B3gicos e = institucionales que requieren consideraci=C3=B3n para su interpretaci=C3=B3= n y eventual continuidad.</span></p><p class=3D"ListParagraph" style=3D"mar= gin-bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span = style=3D"font-family:'Times New Roman'; font-style:italic"><span>3.6.</span= ></span><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </= span><span style=3D"font-family:'Times New Roman'; font-style:italic">Propu= esta did=C3=A1ctica </span></p><p style=3D"margin-bottom:0pt; text-align:ju= stify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times = New Roman'; font-weight:bold">Estrategia did=C3=A1ctica mediada por GeoGebr= a para el aprendizaje de operaciones combinadas</span></p><p style=3D"margi= n-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'">La propuesta did=C3=A1ctica se estru= ctur=C3=B3 como una secuencia de aprendizaje orientada al fortalecimiento d= e la resoluci=C3=B3n de operaciones combinadas en estudiantes adultos de no= veno a=C3=B1o de educaci=C3=B3n general b=C3=A1sica en modalidad extraordin= aria. Su dise=C3=B1o respondi=C3=B3 a las dificultades identificadas en el = diagn=C3=B3stico inicial y articul=C3=B3 cuatro componentes del aprendizaje= matem=C3=A1tico: jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n procedimen= tal, correcci=C3=B3n de errores y resoluci=C3=B3n contextual. La estrategia= integr=C3=B3 mediaci=C3=B3n docente, resoluci=C3=B3n guiada, exploraci=C3= =B3n mediante GeoGebra, an=C3=A1lisis de procedimientos y aplicaci=C3=B3n p= rogresiva de los aprendizajes en situaciones contextualizadas.</span></p><p= style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-siz= e:12pt"><span style=3D"font-family:'Times New Roman'">La intervenci=C3=B3n = se desarroll=C3=B3 durante seis sesiones de 60 minutos, equivalentes a 360 = minutos de trabajo pedag=C3=B3gico. La secuencia avanz=C3=B3 desde el recon= ocimiento de saberes previos y la aplicaci=C3=B3n de la jerarqu=C3=ADa oper= acional hacia la ejecuci=C3=B3n de procedimientos, la identificaci=C3=B3n y= correcci=C3=B3n de errores y la resoluci=C3=B3n de situaciones contextuali= zadas. GeoGebra se incorpor=C3=B3 como recurso de apoyo para representar, e= xplorar y comprobar procedimientos matem=C3=A1ticos, sin sustituir el razon= amiento escrito ni la mediaci=C3=B3n docente. La organizaci=C3=B3n de la pr= opuesta mantuvo correspondencia con las cuatro dimensiones consideradas par= a examinar el desempe=C3=B1o matem=C3=A1tico.</span><span style=3D"font-fam= ily:'Times New Roman'">  </span></p><p style=3D"margin-bottom:0pt; tex= t-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-fami= ly:'Times New Roman'; font-weight:bold">Objetivos de la propuesta</span></p= ><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-= size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold">= Objetivo general: </span><span style=3D"font-family:'Times New Roman'">fort= alecer el aprendizaje de operaciones combinadas en estudiantes de noveno a= =C3=B1o de educaci=C3=B3n general b=C3=A1sica en modalidad extraordinaria d= e la Unidad Educativa Santa Marianita mediante una estrategia did=C3=A1ctic= a mediada por GeoGebra, con =C3=A9nfasis en la jerarqu=C3=ADa operacional, = la aplicaci=C3=B3n procedimental, la correcci=C3=B3n de errores y la resolu= ci=C3=B3n contextual. </span></p><p style=3D"margin-bottom:0pt; text-align:= justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'; font-weight:bold">Objetivos espec=C3=ADficos:</span></p><p cl= ass=3D"ListParagraph" style=3D"margin-left:22.5pt; margin-bottom:0pt; text-= indent:-18pt; text-align:justify; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'"><span>a)</span></span><span style=3D= "width:8.68pt; font:7pt 'Times New Roman'; display:inline-block">  = 0;    </span><span style=3D"font-family:'Times New Roman'">A= plicar correctamente la jerarqu=C3=ADa de operaciones en expresiones matem= =C3=A1ticas que integren diferentes operadores y signos de agrupaci=C3=B3n.= </span></p><p class=3D"ListParagraph" style=3D"margin-left:22.5pt; margin-= bottom:0pt; text-indent:-18pt; text-align:justify; line-height:115%; font-s= ize:12pt"><span style=3D"font-family:'Times New Roman'"><span>b)</span></sp= an><span style=3D"width:8pt; font:7pt 'Times New Roman'; display:inline-blo= ck">     </span><span style=3D"font-family:'Times New R= oman'">Desarrollar procedimientos secuenciados para la resoluci=C3=B3n de o= peraciones combinadas mediante el uso de GeoGebra como recurso de exploraci= =C3=B3n y comprobaci=C3=B3n. </span></p><p class=3D"ListParagraph" style=3D= "margin-left:22.5pt; margin-bottom:0pt; text-indent:-18pt; text-align:justi= fy; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New= Roman'"><span>c)</span></span><span style=3D"width:8.68pt; font:7pt 'Times= New Roman'; display:inline-block">      </span><s= pan style=3D"font-family:'Times New Roman'">Identificar errores frecuentes = en la resoluci=C3=B3n de operaciones combinadas mediante el an=C3=A1lisis y= contraste de procedimientos. </span></p><p class=3D"ListParagraph" style= =3D"margin-left:22.5pt; margin-bottom:0pt; text-indent:-18pt; text-align:ju= stify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times = New Roman'"><span>d)</span></span><span style=3D"width:8pt; font:7pt 'Times= New Roman'; display:inline-block">     </span><span st= yle=3D"font-family:'Times New Roman'">Resolver situaciones contextualizadas= que requieran la aplicaci=C3=B3n integrada de operaciones combinadas, just= ificando el procedimiento empleado.</span></p><p style=3D"margin-bottom:0pt= ; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"font= -family:'Times New Roman'; font-weight:bold">Caracter=C3=ADsticas de la pro= puesta</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-he= ight:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La= propuesta se configur=C3=B3 como una estrategia de mediaci=C3=B3n matem=C3= =A1tica digital apoyada en GeoGebra, utilizado como recurso visual e intera= ctivo para acompa=C3=B1ar el aprendizaje de las operaciones combinadas. Su = incorporaci=C3=B3n no se limit=C3=B3 a la comprobaci=C3=B3n de resultados, = sino que incluy=C3=B3 la representaci=C3=B3n de procedimientos, la visualiz= aci=C3=B3n de secuencias operacionales, el an=C3=A1lisis de errores y la ex= ploraci=C3=B3n de diferentes formas de resoluci=C3=B3n. La mediaci=C3=B3n t= ecnol=C3=B3gica se articul=C3=B3 con la orientaci=C3=B3n docente y la resol= uci=C3=B3n escrita, de manera que el recurso digital funcionara como apoyo = al razonamiento matem=C3=A1tico y no como sustituto del procedimiento desar= rollado por el estudiante.</span></p><p style=3D"margin-bottom:0pt; text-al= ign:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'= Times New Roman'; font-weight:bold">Organizaci=C3=B3n de la propuesta did= =C3=A1ctica</span></p><p style=3D"margin-bottom:0pt; text-align:justify; li= ne-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman= '">La propuesta se organiz=C3=B3 en seis sesiones de 60 minutos, articulada= s progresivamente con los objetivos espec=C3=ADficos y las cuatro dimension= es de aprendizaje consideradas en el estudio. </span></p><p style=3D"margin= -bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span st= yle=3D"font-family:'Times New Roman'">Como se evidencia en la </span><span = style=3D"font-family:'Times New Roman'; font-weight:bold">Tabla 6, </span><= span style=3D"font-family:'Times New Roman'">aunque cada sesi=C3=B3n priori= z=C3=B3 determinados componentes, la secuencia mantuvo una integraci=C3=B3n= progresiva entre jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n procedimen= tal, correcci=C3=B3n de errores y resoluci=C3=B3n contextual. Las actividad= es combinaron orientaci=C3=B3n docente, exploraci=C3=B3n mediante GeoGebra,= resoluci=C3=B3n de ejercicios, an=C3=A1lisis de procedimientos y comprobac= i=C3=B3n de resultados.</span></p><p style=3D"margin-top:12pt; margin-botto= m:0pt; text-align:center; line-height:115%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'; font-weight:bold">Tabla 6</span></p><p style= =3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:12pt"= ><span style=3D"font-family:'Times New Roman'; font-style:italic">Organizac= i=C3=B3n did=C3=A1ctico-tecnol=C3=B3gica de la propuesta mediada por GeoGeb= ra</span></p><table style=3D"width:100%; margin-bottom:0pt; padding:0pt; bo= rder-collapse:collapse"><tr><td style=3D"width:9.68%; border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical= -align:middle; background-color:#ffffff"><p style=3D"margin-bottom:0pt; lin= e-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'= ">Sesi=C3=B3n</span></p></td><td style=3D"width:17.74%; border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertic= al-align:middle; background-color:#ffffff"><p style=3D"margin-bottom:0pt; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">Componente priorizado</span></p></td><td style=3D"width:17.74%; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:middle; background-color:#ffffff"><p style=3D"margin-b= ottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">Prop=C3=B3sito pedag=C3=B3gico</span></p></td><td style=3D"= width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #= 000000; padding:0pt 5.4pt; vertical-align:middle; background-color:#ffffff"= ><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span sty= le=3D"font-family:'Times New Roman'">Actividades y actuaci=C3=B3n del estud= iante</span></p></td><td style=3D"width:17.74%; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align= :middle; background-color:#ffffff"><p style=3D"margin-bottom:0pt; line-heig= ht:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Medi= aci=C3=B3n docente y tecnol=C3=B3gica</span></p></td><td style=3D"width:19.= 36%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; p= adding:0pt 5.4pt; vertical-align:middle; background-color:#ffffff"><p style= =3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"fon= t-family:'Times New Roman'">Evidencia de aprendizaje y retroalimentaci=C3= =B3n</span></p></td></tr><tr><td style=3D"width:9.68%; border-top:0.75pt so= lid #000000; border-right:0.75pt solid #7f7f7f; border-bottom:0.75pt solid = #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-co= lor:#ffffff"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">1</span></p></td><td style= =3D"width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:0pt 5.4pt; vertical-align:middle; background-color:#f2f= 2f2"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span= style=3D"font-family:'Times New Roman'">Reconocimiento inicial</span></p><= /td><td style=3D"width:17.74%; border-top:0.75pt solid #000000; border-bott= om:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; backgrou= nd-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:115%; font-siz= e:10pt"><span style=3D"font-family:'Times New Roman'">Identificar conocimie= ntos previos y dificultades en la resoluci=C3=B3n de operaciones combinadas= </span></p></td><td style=3D"width:17.74%; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:midd= le; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:11= 5%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Resoluci= =C3=B3n inicial de expresiones, reconocimiento del orden seguido e identifi= caci=C3=B3n de errores frecuentes</span></p></td><td style=3D"width:17.74%;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"= margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-fa= mily:'Times New Roman'">Orientaci=C3=B3n docente y exploraci=C3=B3n apoyada= en recursos digitales para visualizar y contrastar procedimientos</span></= p></td><td style=3D"width:19.36%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; backg= round-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:115%; font-= size:10pt"><span style=3D"font-family:'Times New Roman'">Revisi=C3=B3n de l= os procedimientos desarrollados y retroalimentaci=C3=B3n sobre las dificult= ades identificadas</span></p></td></tr><tr><td style=3D"width:9.68%; border= -top:0.75pt solid #000000; border-right:0.75pt solid #7f7f7f; border-bottom= :0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle;= background-color:#ffffff"><p style=3D"margin-bottom:0pt; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">2</span></p>= </td><td style=3D"width:17.74%; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p styl= e=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"fo= nt-family:'Times New Roman'">Jerarqu=C3=ADa de operaciones</span></p></td><= td style=3D"width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.= 75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"m= argin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-fam= ily:'Times New Roman'">Reconocer y aplicar la prioridad operacional y los s= ignos de agrupaci=C3=B3n</span></p></td><td style=3D"width:17.74%; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.= 4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%= ; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Resoluci=C3= =B3n secuenciada de expresiones y comparaci=C3=B3n del orden de ejecuci=C3= =B3n de las operaciones</span></p></td><td style=3D"width:17.74%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">Orientaci=C3= =B3n docente y uso de GeoGebra para visualizar y comprobar la secuencia ope= racional</span></p></td><td style=3D"width:19.36%; border-top:0.75pt solid = #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:middle"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt= "><span style=3D"font-family:'Times New Roman'">Revisi=C3=B3n de ejercicios= y retroalimentaci=C3=B3n sobre la aplicaci=C3=B3n del orden operacional</s= pan></p></td></tr><tr><td style=3D"width:9.68%; border-top:0.75pt solid #00= 0000; border-right:0.75pt solid #7f7f7f; border-bottom:0.75pt solid #000000= ; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-color:#ff= ffff"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><spa= n style=3D"font-family:'Times New Roman'">3</span></p></td><td style=3D"wid= th:17.74%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:0pt 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p= style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">Aplicaci=C3=B3n procedimental</span></p>= </td><td style=3D"width:17.74%; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; backgro= und-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:115%; font-si= ze:10pt"><span style=3D"font-family:'Times New Roman'">Estructurar procedim= ientos de resoluci=C3=B3n de manera ordenada y secuencial</span></p></td><t= d style=3D"width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; background-col= or:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt= "><span style=3D"font-family:'Times New Roman'">Desarrollo de operaciones c= ombinadas, contraste de procedimientos y comprobaci=C3=B3n de resultados</s= pan></p></td><td style=3D"width:17.74%; border-top:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle;= background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-height:115%;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">Modelado y o= rientaci=C3=B3n docente; GeoGebra como apoyo para representar y comprobar p= rocedimientos</span></p></td><td style=3D"width:19.36%; border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertic= al-align:middle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">Revisi=C3=B3n de procedimientos y retroalimentaci=C3=B3n sobre secuenci= a y precisi=C3=B3n de la resoluci=C3=B3n</span></p></td></tr><tr><td style= =3D"width:9.68%; border-top:0.75pt solid #000000; border-right:0.75pt solid= #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt;= vertical-align:middle; background-color:#ffffff"><p style=3D"margin-bottom= :0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times N= ew Roman'">4</span></p></td><td style=3D"width:17.74%; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertica= l-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:= 10pt"><span style=3D"font-family:'Times New Roman'">Correcci=C3=B3n de erro= res</span></p></td><td style=3D"width:17.74%; border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:m= iddle"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><sp= an style=3D"font-family:'Times New Roman'">Identificar y corregir inconsist= encias en los procedimientos de resoluci=C3=B3n</span></p></td><td style=3D= "width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid = #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-botto= m:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times = New Roman'">An=C3=A1lisis de procedimientos, identificaci=C3=B3n de errores= y reconstrucci=C3=B3n de la secuencia correcta</span></p></td><td style=3D= "width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid = #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-botto= m:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times = New Roman'">Orientaci=C3=B3n docente y uso de GeoGebra para contrastar proc= edimientos y comprobar las correcciones</span></p></td><td style=3D"width:1= 9.36%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000;= padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; l= ine-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roma= n'">Revisi=C3=B3n de los procedimientos corregidos y retroalimentaci=C3=B3n= focalizada en los errores identificados</span></p></td></tr><tr><td style= =3D"width:9.68%; border-top:0.75pt solid #000000; border-right:0.75pt solid= #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt;= vertical-align:middle; background-color:#ffffff"><p style=3D"margin-bottom= :0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times N= ew Roman'">5</span></p></td><td style=3D"width:17.74%; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertica= l-align:middle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; li= ne-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman= '">Resoluci=C3=B3n contextual</span></p></td><td style=3D"width:17.74%; bor= der-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0= pt 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"marg= in-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family= :'Times New Roman'">Aplicar operaciones combinadas en situaciones contextua= lizadas</span></p></td><td style=3D"width:17.74%; border-top:0.75pt solid #= 000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-ali= gn:middle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-he= ight:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">In= terpretaci=C3=B3n de situaciones, identificaci=C3=B3n de datos, selecci=C3= =B3n de operaciones y resoluci=C3=B3n</span></p></td><td style=3D"width:17.= 74%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; p= adding:0pt 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p style= =3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"fon= t-family:'Times New Roman'">Orientaci=C3=B3n docente para la interpretaci= =C3=B3n y uso de GeoGebra como apoyo para representar y comprobar procedimi= entos</span></p></td><td style=3D"width:19.36%; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align= :middle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; line-heig= ht:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Revi= si=C3=B3n de las soluciones y retroalimentaci=C3=B3n sobre interpretaci=C3= =B3n, selecci=C3=B3n de operaciones y procedimiento</span></p></td></tr><tr= ><td style=3D"width:9.68%; border-top:0.75pt solid #000000; border-right:0.= 75pt solid #7f7f7f; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt = 0pt 5.4pt; vertical-align:middle; background-color:#ffffff"><p style=3D"mar= gin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-famil= y:'Times New Roman'">6</span></p></td><td style=3D"width:17.74%; border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115%; = font-size:10pt"><span style=3D"font-family:'Times New Roman'">Integraci=C3= =B3n y consolidaci=C3=B3n</span></p></td><td style=3D"width:17.74%; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:115= %; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Integrar l= os aprendizajes desarrollados durante la secuencia</span></p></td><td style= =3D"width:17.74%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bo= ttom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family:'Tim= es New Roman'">Resoluci=C3=B3n de actividades integradoras, revisi=C3=B3n d= e procedimientos y reflexi=C3=B3n sobre las estrategias utilizadas</span></= p></td><td style=3D"width:17.74%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p st= yle=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"= font-family:'Times New Roman'">Orientaci=C3=B3n docente y uso de GeoGebra p= ara comprobaci=C3=B3n, contraste y revisi=C3=B3n de resultados</span></p></= td><td style=3D"width:19.36%; border-top:0.75pt solid #000000; border-botto= m:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p style= =3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"fon= t-family:'Times New Roman'">Revisi=C3=B3n integradora de los procedimientos= y retroalimentaci=C3=B3n sobre los aprendizajes desarrollados</span></p></= td></tr></table><p style=3D"text-align:justify; line-height:115%; font-size= :10pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold">Nota= .</span><span style=3D"font-family:'Times New Roman'"> Cada sesi=C3=B3n tuv= o una duraci=C3=B3n de 60 minutos. El componente se=C3=B1alado corresponde = al =C3=A9nfasis prioritario de cada sesi=C3=B3n, sin implicar un tratamient= o aislado de los restantes aprendizajes. La revisi=C3=B3n de las actividade= s y la retroalimentaci=C3=B3n desarrolladas durante las sesiones tuvieron c= ar=C3=A1cter formativo y se utilizaron para orientar el proceso de aprendiz= aje; no constituyeron mediciones adicionales del efecto de la intervenci=C3= =B3n.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-hei= ght:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; fon= t-weight:bold">Correspondencia curricular y seguimiento formativo</span></p= ><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-= size:12pt"><span style=3D"font-family:'Times New Roman'">La propuesta mantu= vo correspondencia con los aprendizajes establecidos para Matem=C3=A1tica e= n el subnivel superior de educaci=C3=B3n general b=C3=A1sica del curr=C3=AD= culo ecuatoriano. De manera particular, se vincul=C3=B3 con las destrezas M= .4.1.3, referida a la realizaci=C3=B3n de operaciones con n=C3=BAmeros ente= ros aplicando el orden de operaci=C3=B3n, y M.4.1.7, orientada a resolver o= peraciones combinadas en n=C3=BAmeros enteros respetando dicho orden y veri= ficar los resultados mediante el uso de tecnolog=C3=ADa. Esta correspondenc= ia se articul=C3=B3 con el criterio de evaluaci=C3=B3n CE.M.4.1, que integr= a las operaciones con distintos conjuntos num=C3=A9ricos, la resoluci=C3=B3= n de problemas contextualizados, la interpretaci=C3=B3n de las soluciones y= el an=C3=A1lisis de la necesidad del uso de tecnolog=C3=ADa (</span><span = style=3D"font-family:'Times New Roman'; background-color:#ffff00">Ministeri= o de Educaci=C3=B3n del Ecuador</span><span style=3D"font-family:'Times New= Roman'">, 2016). </span></p><p style=3D"margin-bottom:0pt; text-align:just= ify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'">En la propuesta, estos referentes curriculares se concretaron en = los componentes de jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n procedime= ntal, correcci=C3=B3n de errores y resoluci=C3=B3n contextual, articulados = con el uso de GeoGebra para la exploraci=C3=B3n y comprobaci=C3=B3n de proc= edimientos. El seguimiento de los aprendizajes durante las sesiones tuvo ca= r=C3=A1cter formativo y se desarroll=C3=B3 mediante la revisi=C3=B3n de eje= rcicios, el an=C3=A1lisis de procedimientos y errores, la comprobaci=C3=B3n= de resultados y la retroalimentaci=C3=B3n docente. Estas actividades permi= tieron orientar el proceso de aprendizaje durante la intervenci=C3=B3n, per= o no se utilizaron como mediciones adicionales del efecto de la estrategia = ni sustituyeron las mediciones establecidas mediante el pretest y el postes= t.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height= :115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-w= eight:bold">Recurso digital interactivo de apoyo</span></p><p style=3D"marg= in-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span = style=3D"font-family:'Times New Roman'">Como soporte complementario de la p= ropuesta se utiliz=C3=B3 un recurso digital interactivo desarrollado en Gen= ially, desde el cual se organizaron contenidos, orientaciones y actividades= vinculadas con el aprendizaje de las operaciones combinadas. Este recurso = facilit=C3=B3 la navegaci=C3=B3n por la secuencia did=C3=A1ctica, mientras = que GeoGebra se emple=C3=B3 durante las sesiones como herramienta de explor= aci=C3=B3n, representaci=C3=B3n y comprobaci=C3=B3n de los procedimientos m= atem=C3=A1ticos. De este modo, ambos recursos cumplieron funciones diferenc= iadas dentro de la estrategia: seg=C3=BAn se presenta en la </span><span st= yle=3D"font-family:'Times New Roman'; font-weight:bold">Figura 1</span><spa= n style=3D"font-family:'Times New Roman'">, Genially como entorno de organi= zaci=C3=B3n y acceso a los contenidos, y GeoGebra como herramienta de media= ci=C3=B3n matem=C3=A1tica.</span></p><p style=3D"margin-top:12pt; margin-bo= ttom:0pt; text-align:center; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; font-weight:bold">Figura 1</span></p><p = style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:= 12pt"><span style=3D"font-family:'Times New Roman'; font-style:italic">Recu= rso digital interactivo de la propuesta did=C3=A1ctica</span></p><p style= =3D"margin-left:35.4pt; margin-bottom:0pt; text-align:center; line-height:1= 15%; font-size:12pt"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhE= UgAAASsAAACoCAYAAAC498h2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwA= AIABJREFUeJzsvVeQJdd55/k7J93N68r76q5q77uB7kbDewL0oiiJ0lCakTgaI0VM7MtMzO7D7s= QqYnYe9m03Yleh3ZnYnRgpdjQakUNSEj1BECQAEmiAMG3QaG+qury5Ps05Zx9OVnW1ge+Gad1/d= EXdrps38+S5mf/8zP98n/iLb02YSlPSRhtttPFxhOfAhnV53Gde05yY8D/q8bTRRhtt3BClnOKr= T6S0Tao22mjjE4E2WbXRRhufCLTJqo022vhEoE1WbbTRxicCbbJqo402PhFwb/RHAUgJvge+JxD= iwx9YG2208fcHaQpRYkgVGHPjba4jK0dCd1mwe6PLtnGPckHiOB/CaNtoo42/lzAampHmwpTiV2= 8mTM5p4uT67a4iK0fC2KDkM/fmGOlzkLJtUrXRRhu3Hh1FyUC3y7Zxl5++HPPyiYQovnqb1ZiVA= Ho6BE/eEzDa3yaqNtpo48OFENBRcPjUXQFbRyVSXO0PrpKV4xh2jDsM97qI9xmkSpKYVqsJgDGa= JInRWgEQtZoYoz/Y2dwAUdQkjiPMWzm6GYzWxFHruu2SJCZNE+KohdY3f3wAaZoQtZoopdBaYYy= h1WzccBy3CsYYoqiJUul170WtBkqlpEl83Rwopd5xbt8L4qhFEsfX/T1JEpIkRqXpdfOglCKKmj= dtDHafKa1W87pz01qvfldJcvU4jTG0Wg3MTbxOtFZ2n9fOsTE0G3W0ViRx9JbncLOwck3e6B5oZ= ddHEsdXjdMYQ6NRu/H43yNUmq7OaxhI7t7tUwyv3sY58Ni//JP5qksYGO7b6zPQfcOY+7vC5Ymz= XDx/inK5i2ajzsXzp/D9AKUUF869SaFYptmo4XoeUt6cROTPf/p31KrLaKORjoNSCWkS02zUkNK= h0aiCMTSadY689gs6OnuIoxaO49Co11hamKXZrDN1+SKFQokkiYjiFp4XvG/SXos0TXjphaeZmZ= 6gWl2iUa8S5EJOHPsVnd191GsVapVlJifOolVKmC+RxBGtliUWz7s5S6FqtWVefP4ptNbk84VVc= mw265x+8yjFYgdnTx+jUOywpA5IKXnphafp6em/KeOI44jnfvY96vUK5XKXPY7WNOpVlpfmabUa= LMzPoFSKANI0xXVdjh95iUsXT1MudxMEuQ88DmMMr7z0c6YvX6RQLKFUam+8eoU4bjE5cQ6lFNX= KIp7nE0cRrusyOzPJG0cOI6VDuaPrpozj5IlXOX/mBJ7nI6TEaJ2RlOb40ZcoFMtcnrxAvlCk1W= zguB5CCObnpjj95hEGh9Z/4HEAXLp4mjeOvoQQ4Hk+SiviOCJqNTl14jUKxQ7efOMVOrt6aTXrO= I5LkkQ89YNv0Go1GBxa/4Hul5npi5w4/gqDw2NIKXAknJ1IWKwaAs+wZ5OzErMy+K6hEH6wm9P3= cxRLHfzwu/+FYqmTUqmT2ZlJjNEUih28+srzSCHo6x9mw6adH+hYK0iSmHXrN/PSi0+DsU+BXC5= PHLcYGh4njlv4QY5Go4YQgh9/77+SyxdZP7aF2ekJyp3daK2Jo4ipy+dZXlqgVOrgvoc+SxCE72= IEb4+lxTny+SKDw2P87Cd/Q2dXL8ePvkxnVy9P/eCvMVrjeQGe77O8OE+r1WTi0lkajRqBn+P+h= z+L47z/B8gKolYTlaYsLsxyeeIc83PTlDPiDsMC5868wfzsZaqVZeK4ieP6HLz7EebnplBKfeDj= A2iVUlleJMwXOXbkMOfPnqB/cB3V5QX6BkbJhXmmJs/huh5JkuB5AXff9yn6B0e5cO4kUdSkROd= NGcvC/DQdnT1MXDjN0SOHGd+4jempS6wf24LBcObUEcKwyMkTr9Jo1Hnw0S/ieQH5QomlxTlG1m= 28KeNYnJ/FcV2mpy/y7M++y+DgOi5fvsCGTTuoVhc5/MLTBEGOixdOUqsu8+AjXwQMP3vqb+jqH= cAY84EfqsYYKksLCCGYnrrE0ddfwHFcBBIElMqdvHHsJVrNBs898120VmzauoeengGiVpM4aqK1= +kAGSF//CN/51l+QL5TYufsgnisohAbWuIKre9daY/QHM+XiuEW9VqG7Z4BCsUyjUSOKmvT2j5D= EMbXKEoND66nVKh/oOFcdM2qxMD+DwH5hHZ09FMud1KrLLC7OMjC0HsdxGd+4PXMxUnK5kMWFGQ= aG1mG0pl5dpr9/iMrSAt09/RSLHeibdIMGQY5KZYmlxXmCXEhnVx+V5QVazTqNeo2eviE6u/sIg= hwdXb28+qtnWT++lTAsUKsuvWUa970iTWK6egc4/eYRGvUaHV29OI6DVgn1WoXFhRl6+4dpNeus= H9tCo7aM47h09/Rzs7QrrVaLweF1XJ44y8zURXp6B3Bdl2K5k+XFWarLi/T2DdGo1+jq7iMMQ7R= WTFw8w/z8FIVC+aaMAyAXFjDaMD19ic7uXhzXo6dngMXFWeKoZS3MJKJY6qS7uw+tFUuLswS5kL= nZyzdtHH4QEIYFLp0/TT4s4Lguff3DLM7PELdaSAS+F+B7AcOjG1CZNdzV08/C/NRNc9GN1pQ7u= jl54lUEklwuT75YpF5bJmq1qFaX6e4ZIIljNm7exdz0JMYYNm3ZTZokH/iBVqtW0FrT2zdkx2OM= dQvXnJ/45//2ojkxEZBzI37zsTy7NhXeN1M36jXiOCLI5ZBCoo0mTWKSJCEX5pFCUq9VKHV04fv= BBzq5FSwuzGKMoVAoEcU2JiUQ9ilc6qDRqJELC9a0VSm/fPYH7N53L6VSB9XqMkGQw3FdGrUq+W= IJAEc6mav6wTUbxhgqy4ukaUIY5olaTaTjcPzIS+zadzdJHJEL86TZHEWtJvlCieWleTzPp1S+O= ZaEUikL8zPkciFCSlSaIqQkjlrk80Vk5hbnciGeF5CqhFwuTxQ18Tz/plh3WmsW56dxXI8gF9Js= 1PD9HM1mnUKhhOt6VKvL+H6AH+QwxlqdSwuzaKPp6OjGv0luYLWyRJJEhPkirWadIMjTatUJwwJ= SSpqtBo7jksvlUSrF9wPSNKWyNE+x3EkYFj7wOMjumUajShgWV72AqNXED2wYQqcp2kAuzKNViu= fncF3XxiBbTXJh/qaMI4qaVJYWyIUFlEpxXQ+tNWkaE+aLqzGtXJhfvRY8z2dpcRbPCyiWOj6Qh= be4MIvjOJTKXQghWFhO+MvvL3Fh1qUcwlef8K6QlTAxh3bAk/d1kc998Avz44o4jm4aUb5faK2J= ouZNu+DbaON2gtKGN87U+Osf12imIeXQ8NUnvBU3UKCNw7EzLc5erJOmtyYr9nHAR01UZIHrNlG= 10cb1MMawuBzx818t0oydq6y1VRNKCIdKw+Vvn5kBodg4WiYXODclI9ZGG2208XYwxpAqzexCk+= 8/O8u5yw5IL1OAWlzx94QAmWOhpvmv35th2/giWzeU6Cn7SKdNWG200catgTFQa6ZcmKjx2qkGC= 9UcwikgxNXZxauCU0JKEHkayuVXb9Z45cQMkvSq9GEbbbTRxs2FwBgHRYBwy0g3RAjnuiy0e+2H= hHCQTgDSw5gOlFF2pWEbbbTRxi2BACFxpAtCWhnSDcJPNy4RIyQIgTAOBu/DGG0bbbTx9xyWn94= 65PQ2GgWx8q+NNtpo4yNHu1JoG2208YlAm6zaaKONTwTaZNVGG218ItAmqzbaaOMTgTZZtdFGG5= 8I3L4rlm9zuA6Ege08pA00moYPWOGnjTY+1rjtycpzIR8I8qEg8ARKQ7NlaESGKDaoD0nv6kgIf= EEhFJZksK2H6i07jiSBd8s1QsBov+R3nsiT8wWNluFPv16n3myzVRu3L25bshICBrol+7d6HNjh= MdrvUsoL4tQwt6S5MK343vMRb164eXWs3wrFULBtzOXe3T6b17n0dEiEgEpdMzmreOFYwjOvxLS= id0823WXJg3f4FHKS5ZrmP3yrQf1d010bbXzycFuSlQC2jTn80ZcLbF3nEuYka5v1jA/Bro2Gy3= P6lpNVIRT83mdCnrg7oLMoca9aFO6wfcyjt1Ny+HhM68Z9Ad4SYkX121butvH3ALclWY32S/7Hr= 5UY6XOR0pafSFKIUwMGPNe6Ye4N0guBJ+goClwXWpGhUrddYq+FlJaIiqGNG1UbhnrTsLY5iOvA= H34h5AsPhAS+ZRSlDHFqC4w50o7Fkdd3vXYdKOUFYU6QptYKi5K36VbrQE+HxHOh3rTu5bVjkdl= BDAbXsS5ps2W3BZACwpw9J6UNyzX7dztbhlTDLWoA1EYb74jbjqxcB37niZDRfgchIEkNb5xL+b= tnW1ycURhjb+p9m12mF6+wkCNh3xaXX384ZPuYS+ALFquaX7we842nW8ws2rtUCOgsCh6/K+DRA= wHDfQ4CmJxT/PRXET/4ZcRixd7keze7fPHBEN8TGAOzS4of/DLipeMJrcTgu4I9m10KOXEVIQ52= S37j0RyHdvl0lSSt2HDifMpf/bjJsTPpdc6e78I//VKenRs88jm4PK956sUWP3oxplK3W3/10yF= 7NnqAYalmKOUFY4Mu33ymyV/9qEXOFzx0p8dn7s2xbsAhSeDomQTPFeRzglZs+JufNTn8RnrT6s= K30cZ7wW1HVn1dkkO7fFu/WsPxswn/7j/WmF/Wq41bT11SvHA0QQiDABwHPnWXz7/4SpFS3ppbx= tgusesHXbaOufzP/3eVasPQXZb8d79d4P69Pp4rVm/czpJkyzqX7WMuf/r1BgvLmicOBXjZDC9V= NX/2jTo/fzW+ym9741yKkJAkdizrBx3+5J+VGB+yhQ/tOGCg22HnBpc/+Q9Vjp652nXN5yRP3p3= VJhfQ0+GwZZ3LhuEW//5bDSp1w5ZRl0O7/OzcTLZvQzEUeC787qdz/PbjIblAWjI0MNRr50IIQb= 1peP71GCHaZNXGR4PbjqwGeyTFrKVYnBh+8ELEYlXzG4/k2LPZW41dGeDNCyl/9aMWI/2SP/h8g= WIoURrmlxT1lqGnQ1LKS/Zt8fncfQHfeLrFE4d87t/j4zqCZmSYXVRoA4M9DjlfcN/egDfPp3zv= lxGb13mrhHNmMuUXRxK2j7t86cEcOf8KYS3VDP/f9xss1wz/7Et5xgYdQFCta+aWNcVQ0F2W9HY= 6/PGXC/yr//367kCNlmZ6QeO5ltgCT/DEoYDXTyf8+PC1zToFjZZ1K1sR7N3s8dufspnFJEtANC= NDX6ekVGhL8dr4eOC2I6swEKuxGaVhZsFaVNvGXO7fG7DS2swYcB2B67S4b49Pd9lm6OoNzX/+Y= ZOL04pP3RXw2MEA3xM8diDge7+IePKeHJ5nb+qnX2rxF99rojV87QshTxzKEXiCx+7K8eLxhHwg= Vo+1UDE0I8NAl8M9u4OrejROLyj+5ueSziLs2OAhpSBVhp+8FPHTX8VsHnX43U/n6Sja8xgbupp= AktTwzZ+2+MbTTUp5yb/4rQIHdngEvuSRAwE/e+XqDsdzS4pvPN3i7KRicjblH3/REpUxcOpiyv= /59TqX5zSP7Pf5oy8X8L12BL+Njx63HVml6RW9kpSQDwUYQ7VhmF1SdBQkueDKzee5sGHYwXPt3= 8JA8NuPh2htg81Olr0b7LWW00CXJYpaw/Cd5yIm5zTGwF8/1eLh/TlyPvR3SQJfkKhsJALyORu8= b0aGuWVFnEg6S3I1sC6AkX65anFJCfft9dm/3cdz7bjseAV9nZLmGplDpW7Jan7ZsFhVfPtnLfZ= t8fA9GOl1CNY0UzYGjp1L+e7zLZZrBt+FsSF7GShtePa1mDfOpaQKfvDLFr/5aMhw3wdvSdZGGx= 8Ut52NP7esiWIbDPddwT27PHxP8Bffa/I//B8Vnn3tWn2AsHKCjDQcKegqS7o7JGEgiBNrETVaN= qa0EvfSBlqxWWXGRuvKayns56YXVPZ/2DBsLaLXTiX8T39W5X/98ypKmbXDsFnKVfISlAqSng5J= uWDd02Zkx3JtdlKpNX8zNou5EldyJFfJNgx23EkW9hLCbrPyZpxcySKmiiuE20YbHzFuO8vq8pz= i3JRiX9HBceC+vQGXZjRPHY5Zqmri5OqbL1WGmUWNUgbpCmpNzbefaXJxxlpMnmuD5wvLmlZsWK= 5pwsChmBfs3+ZxYUqTKsPD+wO8rKjqcl1Tb8Jzr8XctdNHCkF/l+QffyHPn3+nyeScotYQV2X1j= IGpeTu+fM5KB37+SsSv3kyIE0sq5YIg5wtOXkwZH7pi7XSWJHs2u/zslZhcILh3j79qKS5UNK2r= Q1ZXIU5hZlEzPgSOI9iz2ePHh2MWKpptYy79nW2rqo2PB247smpG8Fc/arJjzCPwBaW85A8+n+f= XHw5pRpqu8tXGpDbw/OsRjx306S47FEPBE3fnOHrGkkRPh2DDsMv/9pd1GpHh8PGYz90X4ruC3/= 9cnl0bLUMd3GFJSWnDr07ELFY1P3ox4gsP5Ng86uI6gkM7fXZt9FiuajxP4F7DA2cmUqbmldV5O= ZZ0SnnJ/LImn4ONIx5vnE9YqhoYuvI5zxX8q98rcv++mI6CZP82DykhTQ0vHkuuI+i1MAZ+cjji= wHYPRwru2e3zb/5QMLOgObDDu8plbqONjxK3HVkB/OJIwv/7t3V+99N5iqHEcwW9neIqr1ebTOB= o4MjplB+/YIklF0gGuh0Guq8wSapMptmCr/+kyfZxlw3DLoVQ8tCdV5qmKgWnLqV885nWakzpf/= l/qvybf1JmbNDBdQWlvFiVR5CRhdL291LV8B//rsG//r0iXWWHfE6uyg1WcPJicp3Oylpdkk/ff= aW1eqoMR88mfP+X0Q1FrWvxk5ciHrrT5+AOa5HdsTWTOLzXiW+jjVsI58Bj//JP5qu3F2cZA8fP= pZy+lNJdlvieQCkbp4liw3Jdc3ZS8dOXY05cSIlTeP1MwnLV0Ndlg95KQ5xArWm4NKP48eGYuSV= NtW4Fmr0dkjCQGGNJrNowvH4q4c++Uef0hFqNGS3XDC8eiwk8QTG0GqY0tfuuNw1TC4oXjyW8cC= yh0TJMzmqOnk3p67RBeqXt/huRlRT84kjCkTP2vO7Y6hElsFzVLFQ0UtptK3XDi8cT/vTrdS7P2= wDU/m0+nSVJvak5eVHx8hvJKomlCl47mVIuCjoKEm0EUWyYnlcs1zVRbF3bw8cTzl9WbRL72MIg= MEg00mgcoexrNFcHHT5Z1nLgGvZschD//N9eNCcmcu/iI588CGErLowOOIz2SVzXBr7PTSpmlzT= 1lrlO4NhVFmxZ59JTlmhjY2DnpxSV+pVtBZDPCTaNuqwftFbSxWnNqYvp6tKVa+G50Nsh2TjiUs= xbmcDMoubc5ZRa4/qgeRgIxocc1g3Y2FulZjh5MWWhokkV+B6U8nbNo9YgJOzc4BIGgstzilOXl= A36ZygXbNUJsgB7/QYlZXK+Peb6QYckNRw9Y7OCjrSWaL1pbFKhjY8BDBKDNCkeCZ6JyZsaBdMk= oEZRNwhlisB+z018lkQny6KDqugkEiFafDLikaWc4qtPeLc3WbXRxu0GxySEpkGJCt16gT4zxaC= eYoA5uvQCHaaGR4xnItzMmjLGEBtBwwTM0MUJsZmX/PuY8jaSyuAdj/lRY4Wsbi//r402bjcYjU= tC3jToNnOMqZPs4wSDZpqyWiYwLTwT45AijEEafbWXZwxGaXylyClNSV2in+OMOK/ynfLXuJDbg= xafjN6gbbJqo42PHQzCGEJTZUyfY6t+ky3qJCNmgrKq4JkYaZSNQ4mV/p62NgbSdjfGWKIzxmC0= RqcpaapJkhShNH28wb3mv7DoDLDsD38i4lhtsmqjjY8JXKnoL7cY7aoRTrzBPZVnGDeXCJMKjo4= RRiMyckI4ttW6yGhKrtIVBoEQBq0tUSmlSLUhSRVJmhKplESn9DXfYF30KlVvAC0+/lTw8R9hG2= 3cxhDCELiKoc4mj+9Z4uCmOh25Fq2Xz6C/9zo5jF01IbNbVUiElG9bdVFgMNquRFDKoJQmTRVpm= pKkCbFSJEZi4jrro1/xRuGxNlm10UYbN4YQhpynGOtt8sCOKndtadFTVnhSggkIDt5BtV4hfvY5= AuHg+YF17zKXz2SEtKKGs2V9rHjQZD9aaVJtSJUmSRWpSkmUIjGG1BgSpehKLuDoFqn8+CfZ2mT= VRhsfKgyBqxnobPHQzir372jS22mydaGeDUEZjXR9Oh5/jGouT+vppyGJ8cMCwrHlg4RRGG0wWl= mSMuZKfEprUqVRqSJNUpIks6qUItHWqtIIjIZQV8gnU0Ru50c9Me+INlm10ca7hC1DnZWidsRKb= Ps9QBN6CbvXVXl0T40Ng4qcLxHSWY1FidU9GmTeoXTfvVRdl9oPf0ChXsXPF5Ceb1djCCuwM1pl= lpTCqDQjqpQ0TVFpilKptaq0jV0pDErY8taOihiUUyyL7R/7Vm5tsmqjjXdALrAL0ccGHdYNSEq= hXRUh5bsnK2M0HhV6w3mGu1uUQoF0XKTMguSrRfiv7FEYkPkChYMHUK6g/t3voRbnCUoduEEOjL= YZP6yFpbVCKY1KUtI0QaUJSqVZgF2Rao0yBiME2UozhFHctSmls8suyp9b0kRvs5b0o0SbrNpo4= y0Q+DA+5HD3Lp9NI3Z1wHu3qAxGJ+SYpzOYI+cpXGfFmpLI1WD5WtiYlDBWYS7zBQp37Mc4Lkv/= 7ZsU52Yo9PQiHNfGqJRCK4VK1RWiSlJSZd0/pRXKGOseItDGkHUUQAjBut6EXfeHNFqGN87bpV+= XZtRqGaGPC9pk1UYb10AA3R2Sx+/y2bfZI5+T1/PJu4IB1aTDnaLkV/FdEMJBOg5CZoT1drQnpR= UiOC5OmKewZy/aD1j4q/+Cmpkm7OjCcRx0FkzXqUKp1P7WCqUU2iiU0aTGoAxoBMoI1lZ9FCYl8= AWBLzi0K2DnBo8Xj8U886uYSuPjY2XddsX33g5v12JPiBs84K55/5OCj3qsH/XxPwhst2uHP/xi= nrt3BRTC90lURiFVhW7/Al1BhcCzbp/jekjHQ0oXmckQxBpXcG3sSghLaFK6OI6Lmwsp7dhB9x/= 8PoudHSzMz9Gs10mTJHP7UrRSGXllhKU1KssOqmydoAaMEKs6Lce7UtnDkbZRyqMHcvyjz4X0dl= zfJu6jwodOVsW8oK9L0tMh8Neo/IXgqv9fC9dZU9HyGtgJFnSVxFVVMa/9fH+3pLdL0FGwGwUed= JcFjmMXGfd2Xn0AIWybq8CHkU9IaV/ftU0z3mqubjakhM6SWC3HHAaCwZ53PrjrQFdJrHb/+TjA= kbB51OEPPh8y0ue8/znUCb5ZpC83QTmIcT3XEpTjZj8OYtW6ktc9KQViDXlJpOOsEp3r+ZTGxun= 92u/TGh1hsValXquRRHFGWNa6UpkYVGlrVaVaW6sKgRYSIyRkx5d+eP1cOLB51OP3PpNnsPut76= sPEx9qiRgp4fP35xgfdOgsSmpNWxUzn7MNNx/Y5zO3pCkVJL4LhVDSWRIoBffuto0UjLGVMVN1p= UX8tvUuG0YcOoqSSt22yzJZaRUpoFwUDPc6fPXJPEJA4Aui2NZef+jOgEvTmvv3eigNs4uazrKk= nBeEvuDRgz5JCo8e8Dl6xpaGCbLmCp1FSTEvaGS1qwJP0NMpyedsw4dCKOjpdNDaZpC6SjYwWy4= K8oFYrXnludBTtmWUlTJ0liUdBYEjbamarrKklLdNKjqKknJB4LmCzqJ9ChtjybaYtw+AJw/lOD= +l6ChKXMd2s+nusJ/TWaOMng6J59jyMH1dknxWwlkbSzi9WcPUVFmXKJ+zrc2KeXsejgNdJTsXj= x0McKSd066S5P69Ppdmbb1737ef6ypJigV7zqW8YKTP4fGDATOLmjAQ5AJBlNjvrhjac/0wG6oK= AesGHX7r0ZD+Huf9Lz4xCQFz9OTmyfkpjuusISl5haRWCGpFdnCjk71qjd/Vb7mFEH9sPZXFBRq= XJyFJMMagjZUurFhUidak2U+Ck5GVg3EccFycXEhxzwPkhjffcE46i5KhHsm5KUW9+dG4hCslYj= 7U55oAusuS05dSJmYVw72S+/b6+K7g2NmUh+70qTYMd+30ePNCyvoBh8AXPPdazAN3BEwvKIyGf= Ci5OK2YmFXs2+LR3yV59aStB/X4wYDBHktaf/G9JuWi4LceDQkDQWfJOoJdJckTXwpoxnZMeza7= jA05bB93mV7Q/PbjOaoNw0JFc/9eH2OgmJfs3ODy0B0+9Zbh1ZMJ+7f59HdL/v03G8wuakb6JF9= 6OIfShqdejNm/zSPMCabmFLWmYd9Wj1MXU9YPuIQ5+L/+W4Na07BpxOWR/T6OAz96IeJ3nsxzfj= LFc+G51xMePeCTzwm++3zEZ+4JWKxq5pc16wccLkxrzk2m3LfPR2v46csxvZ2SQzs91g+4eB48d= Tjid58MOT+lmJrX1JqG3Ztc8oHd5+fvC1iuG779TIvZJc09uz3GhxzCQPDMKzGPHwxotAyvvJlw= 7x6fODGUC2K1zE5HQfLoAQdt4Ae/iMgHgi89mKOzLKk1bA2uB+/w6e2U/Pl3m3zuvgBtoBQKtq1= 32T7uks8J/tN3mvyTX8szv6z5/i8izk+9Q9XAm4hyQfDZe+y18/6JKibHDN3hEoFnrKsnLUHJFU= smIyiTBbyN1iitMCrLz62xqMRq3zi7PVkPRyEl0vUIhwbp/7UvMOU6LL34EmES42VK99Ro0jVuo= FqxqrBWlbWsBNIPIN/xlqckBIwPuzx+l883fxpdVXbow8aH7gYaYy2FjqKt4NmKDdWm5uK0YmZB= U2toJmYUr5+y5FNvGraPuVycVlRqhoEeh4vTtgZ5f5dkYVkxNa/wXFvcTgjbUHT3Jvul9ZSthfD= 9X7RoxdZq2D7mEqf2xopiQ+DbLsaj/S57NrmcnVR857mIs5OKpZrh+LmUzqLk3j0+P3kp5qcvx4= SBYKmmCTys+yjAdeGN8ynPvZZw104Px4G5Jc32DR6FvOD10wkTs5rpBUXaZ0eOAAAgAElEQVQxt= BaE5wh2bnB5/kjMq28mHNzh0VUSfOtnLcoFyd7NHsbA+cuKzaMOPR2Sb/40ohnZuRnuldy/z+en= L8V859kWWhsGuiWbR11+fDhiflmzacQlTeF7z0fs2eSxZ5PL3KKtizXYbTvlLFRsqWXfE+wYc/n= +LyKefz3m0E6P516LeeFozJ7NLuWC4OmXI3o7JT98IWLTiIsxhqdeiqjUNFvWOZQKklJB8PRLEd= WGYdOow3JNE3iCLaMO5bzg+8/b9/I5wdySthZV3lp3SzX9obmxZJbtwR0eG4bd1YYg7xXCJBTlL= D3hEjkfnMzdk2uJKivXopSi1WyyuLDAxYuXOHXyDMdPnOTNk6c5f+4801PTVCrLtBoNkihCqxRj= NMZk1peUlswcF7+nl/7Pfw7//vtZMlBpNWmmic0EqityhTQrv2dWLLrsR/oBbs/w256b4wh2jvv= sGHdWW9l9FPhQLasVTm5FthPMSL/DxIzmnj0exbztTOw4gkrDUC5KusqC6QVNV8laSq3Y0GwZlm= uGmQVFqgwP3WmbilYbmjCQ7N7k8sLRhDCw8ZAosUXlxoYcfM9eLEs1zbb1HqP9kkIo2LvJ46UTC= Y4DUWzjFvMVTTlr8Gnbvxum5u3NaIB1/S6X51VmddkL3JWC9YP2Zkw1bBhybBMH31pw1bphyzqH= hWXbjKJcFMwsaqoNzboBh0JOrLpFG4cdCqFgflnhuw6t2Da2aGQdbvZu9jh+LmX7mLUGt425JKn= dJk4McWIY6ZMMdEkuzyUsNzSNCOLUNr1Yqmk6SzZeNzWv6SjaFl9Tc4pWAqP9kv3bfKbmFePDDr= WGpt401FuGVmwL+DWy4oWBLxgbdOgqS05cSFk3aFDaVk9VCraMukzOWUFizreEONIn6SoJejo8D= h+PrRvW77BU0+Q8wXCfw5nJD8ey6u2U3LnVe//9EU1KyZmiw1/CcwVSZjEpIRDSWY1Haa2JooiF= +QXePDvJ6ckKS3VbIz/RNijvCkXBM4z15RgfHaCvr4tCsYTnOlk/zKwGdpYuko6L39FJ35OPo8s= Fpv/bt8m3EgLXPkRSrUkMKCRaCFtLNCMqIR2EF+AX3tqyWkE+FBza5XN6QtkeAB8BPtTie0LASJ= +kO6vCuVw1rBuURAkcOZUwPuRQqRvi1FBvWvcsSYwt3VvTBFkQd2zQ4eiZlK9+OuTI6YR8zsZ3f= vZKzEC3pKskWaoZTl+yN8j4kENvh2SholmsarS2F2hvp+TSjAYDG0ccLs9rFiqK/i5JZ1Fy9ExK= V1miFEgHpuY0d25zqTYM0wua7WMOs0vGWoOzmi2jDvfs9jl5MeXImZSNIw75nGB+2ZZDrrcMngv= 7NntMzmsWljUzi5p8TrBroyWbC1Oa//4fFfi7Z1tMzGomZzVb19v9vH7alju+MK0YH3IY7nWYWV= TMLmo2j7pIaXjtlB1/o6XZMe4yOae5PKfoLksuL2gGuhwaLc3uTR7TC4qL04o7tnooBa+eTIkSQ= 1dJsG+Lx8Ss4sKUYvcma3GcOJ9SLgjmljXDPQ4XZhQjvQ5aG0b77Xd3biqlqyRXG7uutKffNOoy= X9E0mgaEYX2/y4Vp+8DZss5lat52n17Xby3u106lV/VGvFVwJNy7x+MLD4RXdcl+tzA6oSin6Mm= vEJWbZfBkRgjSWlNpyvLyMsdPXuKlN+eYrAqM9JBZv0a1IujUhiRNUXGDstPkzg0l7ti+nr6+Hs= JcYC0/gxWBKqtS14kNrseNGtMvvszk17+F36oTOC5KSFKkdQGlhxYS7bjg+oh8SHHbfkb+8N/hB= Pl3PNd6y/DXTzV45c30ugq7txK3RaXQXRtddm90acXw/OsxM4sfYkT2Bugo2ETB5Nz7H4fnwv5t= Hr88mryLrdv4oCiGgq88lmPvFv89p+iNTgnMNH35BQJ/jSJ9xU1bIaok4fL0LM+8fJajExGtVNJ= oRSxVqtQbTZpRjFIpQko81yOXC8jnAlxHYtIWm7tSHr1zPRvWDVEs5nEcB0xGbmmKSa10IU1ikj= hi5rUjnP/rb+IuLuC7PsLxUEiM42GkY8nK83HyeToPPEr/V/410n9nDlDa8PzrMX/78+hDLW/9s= awUKrNGnwZbk/zaBIkUNqO40g3m6JmU42etzPa9rmvyXNuMNFHvnHWSAjxPYLQhydaNrsCx4QiS= FJbrhuX6B/sSk5QbEtVK4uitzsX2OLQxwJv11At8G0O6dn+OtKltsN/RSmbWWfPdvBe4jp3DOLn= yvXxYSz4KoWCgx3nvWiKjCMUC3eEKUTlXE5WwoYM0jrkwMc3fPneKs3OKZpQyM7/IzOwcy5UKUd= SyhKMVQkpczyfI5SmVinR0lMnnchyZMiw8c5LP3BWxc/N6CvkcUkobw8oWLpssqyiEoHPLJtRXf= p0L3/4uydQ0vsmC9dKgyVxIIRCeh9s9aKs5vAtIKRjqdcjneNtelLcKt1y6sHIRe66NWXmuJRYp= wXOygobGvu4oSh64w2eo12GpqlE6a1aQ/e4sSe7c7jG7aDu5rHShMZkswnNZTeWv6LZWvHvXJQt= wQmdRcNcOny3r7EVaqRukANe13WSEsPsStqYZm0Yd9m31GOlzaLRszGhlfwPdDtvWucwua7Sx43= Qd+97KPlaIVIor8yAyLYvrXk20nmu7Qq+cs+facxvulcTZ8oeV+Vs5r10bXXo6bGb11KXUkvpKh= +k1x7DaNkGaZnOfDcT3xFXjXDmHLzyQ48JlG5dznCsPjw3DzmoW1nUE1YaVI9y9y2dq3n5vKwUr= pSCTT9i5CLwrfVZWSKqv08YaJ2Y0+7a4dJcls4t6dezqFhnMK9KXe3YH7yleZYzCM8t0BbOEvkJ= Kx8ap1lhUACpJmLw8y7efPcWp6ZTFaoOzFya4cOkSy0uLSKBYyNNR7qBQKOJ5HmmS0KxXqVUrNF= sxZKLN+bpmdm6B/pJLRzFACoEwBq0VRmfK9WwdoNEat5DHGxygsrBIa2HJDtyR9ktxXITn4hZKl= PY9QjC6ZXXMbztfsNpIpPohKttXpAu3nKzyOXsR793s0VEQ7Nvs0YqthOGBO3ykhGYLHjsYMD7s= sH3M5fKcIlWwd7PHtvU2nnHHVo/92zzGBx3mljUHt/sM9zpcmlE4Duza4LJvq0d/t8PsombnBpe= DO2wspqMouXObR+DZ+NFvPpaj3jJcnFYc3Okzt6jZudFl3xaX5ZohHwgePeBTCiWOK/jNR3I8+1= pM4Au2j9uY1UN3+pQKVp/00J0+3WVLJmND9kaWAvZv9xnps2MUAkYHHB66w8f3bIzt0E57ftW6o= da0saK7d/tsH3OZWzJsG3c4sM02Gv3K4yFxYvc/MaPYt9XFdeHe3T77tngkqZ3TiVnNI/v91Zbz= +za73LHVo940fO6+HCN9Nl54356AVNmA90P7fLrKktklewFuG3M4tNPnwTsCjpxOuWePz0ivw2L= Vdne+Z7dPIRScv6yJEti6zuXAdo9Noy5GG6oNw+iAQ1dJMjZo31uq2r/dvcvDcQSpgvv2eYz22Z= hXV0liMDx0h0+lbll0z2aPO7Z6zC3rW5Iyl1lQf98WD9d510uScUyTLn+KvB8jpVy1qKTI4lSAV= orF5Qrf/+Vpjk9GLNeanDl/kcnJCaQQjAyPsGF8nHUjw/T19dHV1UmhVCRfKOIFIUmSUF1eJE7S= VdX7TCWmvjTPhoES+ZyHMCYjqoywsnWAOk3QWuPmQ4K+HirLFZrzCwgDwnUQjof0fbzOHsoHP43= fM7xmIfXbI47hyOmE5dqHT1a3PBGZzwkO7fS4OJ3y5N0Bpy4pvvhgji/cH9BoGr70UMhDd/r0dk= iWawZHCoZ6HNYPOPR2SnZt9Ng57vLgHT7npywx7Rh3iRJjCSVvBZK7NrosVzW7M9L5zUdDjp6xx= 9y72bbWmphVSAnbxjxOnE/p7pAsVTV7t3js3uihNXzpwYAvP5Jjck6xdb3DvbvtzaKzrJ82Vtgq= gEf3+5QLVt177rLiH34m5OB2j4WKZt2gFYM+eXdAR8GKKj97b0CUwFceC9myzmHbmMu5y4oH7/R= xHbh3j09/lxWEPnynxxN3BagsGeBIK4N4dL+P6wge2BPw5KFgtW+hAMaHXDaP2mD83s0e44Mu28= Ys2X/p4VxmFdoxNSLDP/psyF07PUoFwfiQS863KwEe2R9w4kJKLoAH7/DpKdtVB/u22E7PjoQd4= x737fUZH3I4tMvjQqaJ2r/No6sk2T7mcminx95NLmcmFLs2utyzy5Lmrz0YcO8eD88RBJ4Vpa4f= dPj9z+X5ycsxG0Zc7trpsXHEYWpe8dl7b1EHlhWr8r3cBTqm5ExS8CMcR1iyWlM1QWQVFlqtFi8= fv8gr52vUmjHnLk1w+fIE+TBk48aNjK0fpa+nm3KpSD4X4Psevufh+wHFYoHOrh4K5U7qtQrzc3= NEUUSKw+HzLQ6/foZavUmq0mwt4JUKCzq11pXW1uHze7oZfvwB/D3bqaQJzThGZb3bvGIHbkfvu= yYqMg/Gcd5zbZybgltOVkLY/niX5zWzSza13lkUuK6gGcPRMwnlgmChopmcVZlLJxgbcvGyrG9H= UdCK7M2qNbaXnrQxFSd7IhoD8xUrAyhnUoL5Jb2q2L4wpW0qXcNixWbHFiqGDUMuo30O9ZZhdlF= zaVZTzAvmlw2NyFCpG3o6JK3IsFixFl0htLGh4+dStLGWxNS8ppQXNCOYnNUMdtsnQeAJPM+6dr= 5nm4e+cjKBTDu1WLHZQJktGao3DZPzNmv5xrmUMLCNR5WGelPjuValXi4KygXJUs0KRMlcwo3DL= r5rz9/z4PyUzRZ2lawLG6fWamlGhldPpSxVDZNzmsEeq43yHEvICxVDK7LHaUYwOaeYr+hV/cmL= x2L+9uctlmt69btJUnsxu66gu2wJupUY5pc1S1XN+kGHODGEvqCjKKjUNeenrBXtu4JCKJlb0tQ= bho6i4OK0Zn7ZWKX+Lbw+37VNpRUhM5SDRhaGyESe12iztFJMzy3x3LE5mrHm8uwskxMT+J7P6L= p1dHd2EAQeCEiVJk5SojghWVmArA1CSoIwjx+EVJeXqdVqCCFoKsnTR6aYnl0gSexaQJX92Nfp6= v/t/gxuocjAof2U772ThgNR1MIgcPvW4Ra73tNizndaQ3srccvJKkntDZ8kJrugDWcvK968kPLA= Xtsl+KmXIg7s8PiNR0KWqpZwZhcVG4ZdPNcuP0HAb38qJFW2y/Gd2zxakWEoW4eW8wW/86mQkV6= Hw28knJ9K+ee/XmBu0QpOa029srKB//zDFp+7P8evPRhQaWh+8EKL3k7B44cCphc0P33ZKr77Ox= 0OH084cjrl9z8X8uShgB+92OLZ12IObPdZP+iwWDGM9Ev+6Zfy/OCXEXNL2gpdG5p9W12WqlbZX= mtqjpxOuHu3VXIv1AxLNUOc2vNRGp57LWHbmMsDe31mFjSjAw6bRhwWKprpRc2+LR7nLiv++Mt5= 6i3DL4/GPHynz/Zxl2ZkHwRLNc2GESse9T1BrWmIYphdtGSzcdjl/JTigX0+oS+IU8Pdu6zbWqk= bFqua5ZrmH38hpNLQPH04Yse4y4Ht/qquqtow3Lsn4Gufy7N7k4fvwe88EQKGw8cT/sETOXo7JS= cvKgo5wde+kCfMlhfds9snTuHE+ZT79/p8/n7rks8sap56scUffblAuSB45c2UelPTzB4SHzWMM= bimQmduAdcRSCEz3ZO4brskSXnj7Cxz1YRavcHE5BRx1KJ/aJh8Pg8I0iQliiIazRaNZotmK6IV= xURxQhwnVpKgNdL10MZQWVpEpQohHS4uJLx5fooojjMrSlmLKlvMvEpU2WulNTLM0bN3F4Offpi= 0u0gqNN7QFmRw/brAjys+MumCyAKvStnAruNkFTXWXJe+Z9eIGXMlE7iSefJcmz0iK4720B0ex8= 8pJmfV6j4CL8tm3eD4K4HfleyelOBKiNMrwW+zZjyea8eXZDpF17Hj1nplwfPVGSyRWTbxmsTet= ed8I6wkHVJ1/RhX9rH2WGvHsfYYqXrrrNy14/A9+3rlXNfONddkPG8EJ0t2rGwfeJYEjbny3kri= wnWuzIl7zRyvzLPS12eCbzaE0XhScXCz4cv3KPykgpsmgCHxcpiwA+HnwPWzZg0JPf45SkHLLkQ= WYrVqgjU17OoJA8wvLPOfvvMqxyYaXJ6Z5/ixo5Q6OxkZGbUun+etKuWTrJFDnCpaUUQcx0RRTB= THJElCEkdEzSY6jRlZP4bn56gvL/DY1hz/8LMHKRVy6DQmTWJbuypJiJJ09XWapiiV1WW3Z46KY= sxSzMC9v09hbM97cgOXa5o//26D0xPqQ9NafeTShZVYywrUDcTK8ZqbXxvQ6spn15JAFBt+8lJs= u3msucjfLv2tDavZNbIUfJx9doUs1uLaG3Xt+8ZcfyzD1WO80TnfCMma/V47xhsd69pxvptjXLv= NteNcO9dg5/TtMnLXvrd2fGvfM+bKHN9o7Nxgnm8uDK5JKJslhs1lNqkz7LtwgaG5Bdy4jlBWL6= NcF+UXiIo9pN3DpIOb8DcPk883V2tQiSz9v5LltAaWwGjFUqXB1FKTOFVUa3WSOKJQLGXnrDEkV= tqgta2LnqQkSUqcJMRJQpIkttSLsmsGRaZ+T+KYIBdihMOZy1Uq1TqFnLe6rV5ZXrPiEmpt23Fl= g7Qtu1yCjgLBSD9+78B7IqqPGh8rndX7xTvdoK5j3cRUWWL7IA8EKye4YtnkfBtgT5QhSaxFVsg= J6i2zejNKyarL9X5vRiEsA76fsfue1S55LjQic8MHw1qsKLk/TOHfrYXBNSmdeoE95nXu4zBjzg= wlJ8ZNNaKaza3RGJXitsDRC7gz59Fnf4XesoVw2xdxnSKSlb59WUA9Iyn79ZhsOVeTatPGoKI4w= nU9XMe17pkQq9eFVupK55nUklWa1U63bqB18Wy/UisAXSHJxUbCUqVKX3cRk7l7tjKouoq8VtcT= Ys1l4ThI18MNO5DeO6vWP064Lcjq7RAGgj2bXDaNOiQp/PjFiOWaIfCvuJiua8VZUWKJZcV9BEt= MqTK2nG12Iz+83+O7z0e4juDLD+dYqtnA/4q84eE7fb77fISJzGo5mS88EPD0yzGLVY0QNgXsOB= nxxWbVLfRdm22JYoOTuXOuA0O9kiiGxeoV829FeJikNrjuOjbwL6V9rbXNrm7KFkCPDzp865kWU= ZJZOanVl9mSOVfOd9dGuy7x2VcTAs8S863SOt16GPK6zg79Oo+bn7FdXqAgIksusa1NbrTGKI1S= 6dW+swBTKpHbsxM/H2T1p1gt77Ja5iUjLLCNRZtRSpJcsWqclXV6qVqtnmCMsctsUlt+OMmaO6R= rguVaKXRWPsasdK/BoI0h0oJqrUGcpIg0IcnKGF8VcNf2+jaQjTeri+UFuPkBpPvJWrlyW5PVyl= rEgzs8vvWzFltGbWo/50s2rXM4eVHRiuzi4pwv+PpPWhza5TE26HLsbIKUsHHY4fxlxfpBm5p84= WhMb6eDIwWBD7s2evyHb9f50oMBZyYkm9e5rBtwGOiWjA05jGY6q1ZsazXds9ujp0PywxdiDmxz= KRUkz70Wc3pCUS4IHtnv09MhefFYzPpBlzcvpGwctqLU6QWbJSznBeenbAJisao5fDzh3t1WRnH= 4eEK5KNg44nLhsl2E3NshOXlJ0YwN/d2Su3d5uK7g756N2LvJZXTA4diZFCFg63qXSl0zs6C5b6= /PphGHY2dTXjj2yVz+U9JLfCr9EY/yHD0s46xkzLIAtFFXFOBrrRAhwDgu7qZNBBs3IF0XIbO/r= ymOZ66pP2uylu0q+y2lzFpjKUSaorRNCJmV0i2rFpENqKtV6UEmP9BW+AkG13Wz/9tGETpN0JnL= mKjU9glM7W+9huC4qpCfixuUcEujCPnJuv1v67LGQtiqmfMVzXCvw8YRh/Fhly8+GHBuUnHXDo9= dG11ml6zo8NAuq206dznl0QM+uzZ6nJlQzCxa8eNAl2B86ErFUAGEgRV3FvO2gJwQ0GgZK0rd7j= GzaDNigz0Ouze5RDE8+2rMYI8tidKMNAd3WP3S5nUuI30Ok7OKx+/KUW8afvfTIZW6YWpOc2ZCs= WPM5di5lIWKrXqwYcixmb2c4IcvRPzW4yFjgw6X5xRb17u8cS7lwrT1O/q7bPkWY6zU4I4trl3g= vaR5/K6AgW6HU5dS5pc1XWXJQLdd/P3EoVukc7qVMIaiXuAryV/ya+aH9LOASCPiZpOo0SRqNkm= imDiOryoLrBIbmE6SBNVZpnD3XTj5vLWqEKsdkS1RsVLXc/WwVqXvWDWDgVyQQxtDnAXM49geM0= 4Soux3kmTHzlw/o9VqXfWVNltCCIIgsKJPpfCkIvAy1zK9Qr5KrajZ9WpBP4EE4eC4Lo7n44S9e= GHPJypexe1OVlrDzIKmt8MW6ztyOmV8yMUAE7OKl96IqTVtBYVWbAg8gTIwMaM4fDyh3rRVEbau= d2nFhkrDbrMWtabhb38e8drJlEcPBKwfcKjUNZ4jePOC1VHds9uq1m3lTVvqpr9LMtjjcGlaW2E= iNhu5XNecmVS8ejLBkZYMpQOpNkSxdcem5jTb1jsoZWjGkPNtULveMgSejd/NLNjsTzM2q7EnKW= 33ptklS3R9XZKdGz0uzigCz8bzpuY1aWrXzN23x+fSjLJLiz5Z1zWhqfIPkr/kMV4kFBEqiYlaL= eJWZEsAZwSh9ZWa5VrrrJ1VSioEwf47CUaGsjIvdikNrC3Ol0WqMvds5W+l0CX0INUpuTCH67q0= mg1LTGlKssbdW3X5Vtb4Zb+1svWrVsaUC3xyYUgcJ6AVRQ/yYYBKk6tiVDpz/7SxPzZWlRXsy1x= ArzSCdD55D6DbmqwAzk0pjpxO+NrnQx49EPBXP2rwk8Mxv/VYSHdZMjmrqNatzufCtOKXR2J+49= EQ1xFcmrE1nM5OKvZt9hAIygWB0oa+TkmcQKWu+ePfyLN+0F2NYw10O7YueWCXEb1wLOb85f+fv= TcNkuu8zjSfb7lLLlVZ+wKgsBQAgiBAkCAp7hRFUgstSmrJ4+5wy56xHdEz7fDMdDhifsyfiZiY= vxPRHY6JiejpmO5pt93ddltSW5K1k6IlcSdEiCtAAMSOQgG1V+V2t+/75se9mVWAQAKgCQqQcCI= SqCXzZlbmzTfPec973pMD4JZ1it/7XJkT06arWhfF0PDBExnlUPKPnyhhbO739W/+ts1wn+T8gm= XXZO6h1U4cJ6YNuyY9Qj8HxZF+yZ/8N2W+9myb8wuW5YbjmVdjPnd/wK2b8uzxzIxhuZmLSOeXL= WfOGxZWDE98ImCp4YjTHMSWGo6pWcOxqYwnPhGwsJI7g94Y4fBdmy+k3+ZTvIomI4tjknZMliQ5= L2QvBAdncy6p00HLjIGRUXruuxfp+xd4pV+q9Oves3MIHH3VkJFeH5NleFpT6x8kjtrEUUS6hkQ= 3a0CqA0qrQOW6IIo11Pr6QUiSJEFjGO9VlEMPa1aXRORlpe1yXNBRceZcldAaFdTwqhtzAL7B4o= a2iLma0MUgbofI7viLX0orcqnfeTon5C8XSuaEpl2j9Vrbyl+rJ+u4Ya4lr6XIr3O5ruHFLgfvd= zutPtgJQRbDxpeSEVyst7oRwnMxD6Y/5ffsN+hxTbIkJYnjrrK7y+OssQruktfFz42U9H/1dxl4= 5EFUECKlAqm6u/5c10hSFp2Ownq44JcajSY/eP4dvvb8cVqpIDWGM6dOYYzF832U1giR7++jGEb= OeaZ8JXyHszJpisliquUym7fdQr0VUV9eoqZafGFPjUfu2o5wtpuhZWm26sBArrCXWiO1j/YCvH= KVcPhuysN7PjRY/Sp1Vr/2mVUnsouEmGn2/m/gS/3uSoAKflnQeLH+aq348lL6JXsFOikKucZaQ= H2/232QOJQ1Fi+X/J27sYBKOsMWc4TP26epuhZpkhbZTFIQz2tLpdXsxa25ZCZDbdtGz949CO3l= LgXFWM0v7/hzq/+tATytFbdtHmS8KsjSGK0kI6OjSClI4ogkicmyrCj5Oo/Fdsnz7lByllDyFBs= 3bSYzjlazgSJjrGzYun4QgVvNzgq3Bbfmxc6zwRxklefhlQbwa5M3ZFbFb0IZeDN+c6LHLfFp82= PG3QwmTUiiNlma/BJAdS/WXiALMNZiw4CBzz+J19vbXe3elSZ0PMVcpwh0BWfVkSnkXTolYXSol= 0d2DdGrE6J2mzAMGRsfx/d0XpbGEWkS57xZobMyxchMlqY4m9FTCti64zZ0WGK5voLNYvq8lNs3= VBga6MUVAJXLFWzBUeXRWaIqlUZ7Pl5Ywavdgg56fnUv0D8wbqze5c24Ge8T2iXsyfazxx5EZnF= e+hVyAFukumvLvu6gaDcxslibEd5+N5Wtm7tAJdY4KnCRCaJYeyxW9VDCOUqBz927NnPm/BI/+M= VZ4rbBD0tsmNjIysoyS0tLJFFUPIzOthuDwBF4HiOj4wwPjxBnlrmFBbKoSa9K2TFg2bVtHZ4Ue= Wews415TTrfWY4qil2DyvPwyiP4vVuKJsGNGTfB6mbc8CGcZdhO86R9lqqrkxYygbXZFBSlWqFx= 6nxNATjWZthyhb7HHkUFQf6m/qA3dgfoipm7binnbOEcIumv9fDp+25heaXBi0cWiVsZXlhhcHC= Q4aEhoqhNu9UiiWOszfmsarVKpVxBKMVKvcHi8jI2btGjErbWMj6xY5yBWs+ajCpvCnSfi8L3Xc= h8u47yPHRQQfduv+EU6xfHTbC6GTd8KFLuSV5mA9PYNC+jVmfjVrOqDrC4LlAVy0WdxThLePtuy= hMbcq5HrnqhdOf/itt0v3K2OIYrFjiYYmTHgLM5VzXcz1ceux1PvsnLh86zstIi8iqEYYkgCOip= 9qC0yge6s4woSVisN2i128TtFsol9OmUyZrhEztGmRgfRJSvmH4AACAASURBVMu8ZDVZ/je6C0h= J0S3/lPbRfoBX3YDumbisrso5g8uiHKhVcN1lYdcNWD20x6O/d/XJuZgU7j7P7zMfd6PpgK4mZh= YtbxzOPjZf8hst+swcD7lX0S4XWa7lqCiyHopyq5uDFNuLcbnnky2VqT30ACrM36QXkunuohPPX= cBXdYnyYlynI+R0gK81Y8P9fPHR2xnvL/H8W2c4tThPFClawstFdCJfEJtnSynYDGkzeoRhKIjY= PuJz6+Zx1o0NEPi6ULoXDqEXPRc50CqkLriqUj9e/22oy+iqnM3QS/sYMm/iV2osq23U9Q6srFw= 3oHXdgNUXHg65Z6ff/d5xMWIVow7v09q60dS4VxoOePnthMOnGsQ35sTLNQ3hLPeal1gn5zBxRp= auejhRCCM750wHqDrlmilm9wyO8o4dVDdOIFShgBUXiz/zQeXuyHKOLriO20GSLyPtRC6TyUHS8= zxGBvt46J7b2LRugLcOn+bdk/PM1tu0EkuaFo8T0Bh8ZagEltGqZPN4PxvXjzBQq+JpmY/pdIaU= L3oupNJI7SE9H+356KCE1zuJDgc+8NPcOYerH6Wy+FPCHghdSlVFNDjPrNlNpNaB8D7S1+3DxHU= DVkrm9sSdcN1FjqshCkuO94tfR8DqekL9qh/IdRoVu8yD7ucokxInaZd0piNLKFp4dk351wEwWy= jETalMzyfuRpVKawj11fPvwhyrEK05i3N5NpVGbdrLyyStJkJrvHIZqf3itoXvmKep9VYIgwlGh= ge4Y8cCM3NLzC2ssLhcpx1F4ByehErJp9ZTYrBWpadaJgxyc8SuXbE1v/ShLZVGKI1UucOD9gJ0= eQRd3YSQOdC4TiuTC5sGzsSImZ/hqyZCVHAmg6xFzZ8h1PuZNSusuK1Y+as16rtuwOrDxq8jQN2= MKwznuDV9nQl3Pp/pM2ZV/d0h04tBmM7PbAFSeWZlyazFGx6iNLEeoeTq+VSM0IhuRkWRm63lqF= LSVpPWydOYt96BxQVWlMDtuIWezZsJymWkVDiXe1IpKQgDD616qJYCxkf6abdjonabJEkwWQrkV= t1K5r77HeuarqC1I7VY8zR0ZApCFt0/30eFFVzvZhLPw9o6RliMLdxHBXhkeFKjRAkbtUjnT1Dr= K8pLleWg7cD3DON+RuBazJrbcO5XR9Jfl2D1fqXe+/38cte9PKC5C0vOS9jV3ozrL3zb5LHsJ2g= Rk2T5KiprV8WRHcCyNndBsNauZlMuH6vJhKA8sRG/ry9XpxcjMx1RVf5VJ0MTOHLxpstSkuVlor= feRr72OmG7hYkTzNIic+8dI/r0YwzvvBU/yKdD3JpyNN9DKZEiwNeKSujl+qo1vlQ2y3JQ7cwtG= lPoqi5UjgspizVgeedPejlYrZQ9Wr0GgmkQrtswcNbSas6TLO1jqMcjVD1o0c9KZYCzp95m60CV= dSODVMrl3N7GOaRbZNC3IA3LbuevDDauS7C6mnDFYsd/eGQFQMn8A1TeBKvrOxzrzGm2ySlsagp= NVUevZLtZlHG5yjuznWUMeTZlrSGxDhMEjG7ZhAwDXKH/dDZffCg6YzSOQskuwOagkS4uEv30Oc= SBA/hOYDNDa3mZ1soKJk1Y+Pl+SuNj1IaGuiDYsaFxNnck7UwZSgG22DuRObcKShfMDXZsX1Z5/= lymsJpRae2hPZ+4BOdrHp63gpYhSpdz3Vhxfvuuyuz5EOfOMDbUxFbnkDtS6gNDvHr0HOsO1dk1= McbQQB9+kOen0q0wGJyi6QkCOQl8/CN6NzxYXS6uBMhyMl/lPuEOEHnrGcSqivlmXFchnWG3fYu= Ki7peUJ3RFeMcWTGQbJ0h6RjcWUNagFVmLLGxuLCMHhrEFR2vzodfLktY0wVz+dyRtQazvEL0/R= 8iDr2L1rltS3NxkaWlJepRi8gYVk5PsTI3T7mnJ/fCQnSByhYkeUfukPtrZWRZis0ynElzwHIOa= 1wu+uyUgcXDEWtV6tpDeT5eECJLmvM1TRoEyPpLVGsbsGI3SvnFyBBo3cPGbQ8xe/ZljFum7HsE= vkdY8miP1FiacvzkwBnuakZs3jBKWFQaUtSZKJ/ise2WY9M7aKcfL+l+XYLVRwEOV3UMZ2kndY4= ePcuRQyeQynLrLduZ2LiBUkG63ozrK0LX5HZ3AGzBVbnVbCqzltSkub+5yUiyjNRaEmNJrSOzED= tB2yjqosyGyDJqDEoplHBFKVjoqNa89M5asrlFoh/8CA4dRHo+WZbSXFphaXmR5XaLVmaInKSZJ= LQbyyRxRCDCVd6sawHTkVd0fKhWZxdd13TPdV0h1qrtgW5Gldu+eGjfRwaKmdIMmadoLKc0WrMI= 1UfFv3CRiZSCUqlMWBogTuepkssaGpFjuQGm0iK8b4yfHzrD0uEWuycnqFR70AiUaPDpXec5MlP= lmXc2ds0EP464LsHq44zO6qTnfvYm3//OMfp6J7HW8sJzf8/nv7Cbe+66A61zNbNSanUDb9eD+y= aQ/SpiyEyz3k53RZGmsEhJjSHJ0vxiDKkxZM6RoYm1T0v1UveGmA82M+9XaA9FlM5FbGlF9KrcD= UF1jfVWle84R7a4QvSDH8Khd1Hax1poLq+wvLLEUqtJPUlIhEdTCKJqiHWWNE2QSiGLY3bmEdcC= lbUGl+ULSrsaLbc6XG2t6z4M1mZVqnBU8AN04DHvLbLkL1HxeihbS5s7INyE0mFRBuZAlZPngrA= 8xvSZgwhaWFVBlPfiqQRW9lPrlcR3buDosRmyYye5c3Iz1Z4qQkAlWOb3HjrDe+d6ODo78LHxu7= /RYNX5pJufX+TpH73J5JbfISwNgBMs1cf522/+LUeOHKRUKuW+RLUaY2NjjIyMUKvVCIIAXdh93= IyPL4Sz3JIdJHBRt3xKs4w4y0jShDhLc8IdwCth/D7mgi2cqOxluryLxWATsdSUxd+jvDkOnm2x= d2qOW7YE3ddSdlZsuXy5qa03iJ55BnfoINoLcELSXFrK5/xaTZajiMgpjJYs+ppwsB+ldbHPL8N= J2XVm6JarRUZl0rSbWbk1s34db/ju392dqc7LP6U9PN9HBx4LapkpNY0vFUIo/KCXvpFd+NrrNg= uEFB3OAyEEtb4xjH2E5eYMfbUJyuVBlFzk7FyZatyiXC7B1mFOnVpAnTrN7Zsm6KlWkcBYMM/vP= 3ySf/m9Co344+Gvfu3B6oM6i845oijivSPHyOIKgd8D0iGcwg8GmZ+Hl/e9QrlUQ9ikay07MDDA= 5OQkd9xxB5s2bSIMw5uA9TGGImWDOQkmN7OL0pR2mpHEMXGWYJxDej4mHGKqegcHKo9wqrSHpje= EEQEOQZDtQ3mLWBWwnBh+9vpJaj1lxkYGwPeQhb4NB6bZJH7+Jdzbb6O1D0rTXl6hvrLMcgFUbe= OwvseyNbQHBhjq70NrvWqg5zpLdu2qrUung2lWfdO7IzsFUFlWZxq7XuqdmT8/QAc+C26FQ9Fxl= AeeKxOZEL+6Aa30moHsNeYRxaILrT2GhzdjByfI0hZp6yi+azE8up2l+UOUS5YgCHAT/Zw2C5TP= nufWjZpQSJRsc8/EDPdvHeDHBzZ1xR3XMn7twepSkZd+KefPn+e1117jxRdfZmpasn17jKf9Yk6= rwchIiUcf/SK9PTXiqM3CwgLT09OcO3eO6elpDhw4wP3338/DDz9MtVq9CVgfU0gs2sXdTKqVZM= RJTJolCCHxSlUWqjt4ofYVjod7aao+jPRXyxWbURLHcaLo9Hkh75xboe+1wzx+360MDPYTeAqcR= CQxyc/34/a/hhISoT3ajQYry0ssNwugyixWB8TOsVQt0Tc2RKW3B6lVAU4Z1oquor5TAuZyhNV1= 72stX7pWyWu7f4hiONlH+SE6CFgmZt/CPLNtwzqZ2x/72TJe9h4283Cy75fOy4vl1lFUp720j8F= KjJICqUuk1UGcm0cpD9+3uIk+jh2Zoza3wIbRXOUfiDpf3DvFvuOjLLevvWD0hgGrVffDDwcIa+= 1Bms0mr732Gi+88AIzMzM4LLUBj0OHn2HDxF1Y4zg/+wIPPbyVTz/2KEHo45wgyzLa7TZnTp9m3= 759vPPOO/zwh99leXmJp556ikq5UpQP3NRpXcNI8TgitzCZ7cNEKVGSkBmD8kJcdZS3eh7n5Z7P= M6c3YqT+5UkIl6JVGyfykRhjDDro5fn35gn1QR7+xE4G+moIwLz1DvaVV5FJivBDomaTxtISK80= Gy1GbVmawysdKybwSlNYP0zfYT1ipIJXqgk9nbdoqSK3xXs+K7+3arTT5Y+0Ci5AIJdHaQ/kBXh= hSFxmvxwl2/HYq7QYLC69SrSQEfhMvPosVQyivF+EEzok14tbV4xprOXv6FwyXz6PoQQlJKFsMl= y3CKaxzKKXxQp9kY43jx+v0NSv0KgUiZkttgQe3neMHb2/GuWt7zt8wYPVho3OSUADV7Ows3/72= t3nrrbcwxjA5Ocmjjz7C+g1D7N//Hs+98HWEEjz5+Xu59569lCuVYtW3wPd9SqUSfX01Nm/ZyKZ= XtvHd732L5376Iv21Xh7/9KeQygenfr0nq3/F4YTmteAx1rUPsk2+gPAsulzjfPU2Xqj8I46Gd5= Go8vt+YDjhY0UFxTLW5OS8EAFeZZCnD8wg3AEe2nsLfTOziL//CbLVRHg+aRTTWF5mudnodv6M9= HGez3KW4jaO0TcySLmnB6+gBjqzfJ3uou1oqIzNdV/GXqCnytXxq+mULOo3oSRSe3i+hw4CVqTi= 5VZE2reesFzGL1WYnh/n1MljjIwavFI/Ixv7urZd1rmc5O/oEp3DCQHO0mjEzJ45zdZNowwP9OF= 7Hr4SWJd7gUurUFKjqyEL/REz9RXKpRJSSrRocN/keX7y7nraqX/J5/ujil87sLpYud6ZvDfGcO= rUKb7xjW9w4sQJent7efjhh3nggQfo7e1F4njyMxM88cTDOJHi6zJSdMhzccExpZSUqz08/MiDx= FmTv/6P3+Cv/vqHRIli797djI2O4Pn+Tby6htHQQ3yr739ku/8JqmaO2WA7Z4JbactaVzP1viEk= kdlMr5xGkeuwImuR5QpBbZwfv3ueYP4lPjV3iqDVRChNGic06nWWG3WW2y2aaYYRHvgBbWOI1w/= RNzpIpdaLXy4jdf7WcrbQZ+FgjWxhLUi5ru5q1RSwAyqikClIrZGeRvgBszrg50lC7Md47TfJMo= VXHmf9tl20m5PYUkBtbAI/6C3+4I4OPy8lXUdQWvBWO3d/inPntnDk+D7mFqfZummEShgWglWNl= BaJQjqNGyhx+ugyY3GM1hqlDNuGVtgytMiB6ZFrWlFcN2B1uUGaKxN3XniUDomepinHjh3jm9/8= JlNTU2zatInPfe5z7NixgzDsdDJyBbsiBFH6pX1wFz4WiZYCq2LiVJK6TQwP3MkLz6fs2/djfuc= f38fu3dvR6qPzur5pDnNxCFp6iDd6nix8huVVvVEitlIyB1DMQLEctGkNpVKJMV+z+eRxPNdCKJ= 3/rtFgpVGnHrVpJilGapz2SYQgHumjZ/0I1d5e/LCE9LycDii6zbJrzlfwVWuXkK7ZZnPBIou1j= SGbLzRdkSnno0VOtiISWng6RfqgtaZkltCqj9rQJH51nMAvk+Nj0U0UAiyFar6zSTp/vnw/YGJi= O4OD45w6/jrvnXiXrRv7qZSD7lSHcAVnFvoslBQLK3VKYYDMJBXdZNtYnXfPDeXZ2DWK6was1m4= buSJeyjmcsMULUqiDi08iJSAzGTOzc8zOztNYWeQnP/0p587Nccut2/jSF7/E+nUTaJ2vmnEif0= Hyu19b1echXP4C26Jt7lyeRs/OzvHs08e5/54/plTuB2eZW3yXHz37Gpu2bKDWUym6MHlab0V+A= udHujIx3U2Qukx8GK8lIbCyRiO7k6p7Bs+2yTJHlkZ4aZ2nOM0210JKRZYZms0m9UaDetSmlaYY= oUD7WKXIaiXCjaOEvT0E5VIuziwWMuQdPYNxrrv52a7xfe9aLrtiO4e1F2RWzjmyJKF+dpal6Wm= mt9dYHg9AC5QCIyXSKowRRHFMSSzSEx5FZhnWuw3rdHeDjrAWhETKfJWclPkGxE6XUAhBpVxl89= a7OX3S4+TZt9m2aRCtVP6xXWRiUknSgYDp40uM9tdyPsvFbOxbwVeGKPtNAKurDCcc1kG9FXN6a= obzs3MIKZgYH2X9yCBvvP4O3/v+fkw6SLOxxOkzZ7jnvs18+UtfYf269SitulP0wkmwYo2/tijm= btbcHxYrBDbNmDq/gDGG+dmzhHqIcmUIicNJSaU0ytnpfbQbDWqVsDtjmM90rbKmV1wiuqsb4L4= Zlw+JIaBBr1AMZo7FbIXEBnjW8Fk3x265jJKSzBhaBVCtRC2aSYJB4LwQozVmsBd/YgRVKeGHId= oP8vKvWLNljC3mCovFo2uta4rVXd2ZQZPPC9rCI8tkGa3FFc69foD2sVOEUuB7k9ihcZyWSKG6C= yw6K8DiJKHeWmEomMYkAUbuRIoSYPNsStriPO8MI+Yfwp0xWCEEYVhi3cQujh9tMTM/xfhw72p2= VYCWrITMJIvESYofBChSNg8sUQ1iouza8VY3KFg5rDOsRIb/+Dff5elnf0Zs8o0gfdUyX3ryt3j= xJwfYvPHzhOX1GBshgyEGBhcZHRyBzgcZEoFD2hyIRAdQuubcOTFqhczBCkmcZXz9O89Qb7X4wu= P30orPkbk2WpbAQZrWKZdcbpSGwzqJQyA7bWjBRcZuN+PjCoGlV8xzu/cat8pfMBYdxMWneLlV5= m0xwX2e4RGxgkaQZZZWq0Wj0aQRtWmnCQYJOsBoHzvaj94wjCyXUJ7uApWUxYyhtZiLmjsXb9fB= rm7Z6ajXTWZIozYLJ6eZ2X8AubBARQk8P0DNtJhJUmzo5d09Jy44nnWOOE2pN5YZ6J+hnQ5h5Hq= EULkRoM392UF0P+xlB8rWZFilsML6jXcwdXyJgb6MwFvL3QqkJ4l6fNpRRKVSRlnDQNimvxwx17= x223OuH7C6aIvI5SKzgp++8Br/4T/9DV/+0pN86pMPkiQJ//4v/op/+W/+kvt3/SNK1QmWG4u0o= zrl/nUcO3aM1FoWGi2mTp3FKcnEunEGKiVim3Fqaprleouevn6UdKwbrpGlGSfOzhBHKRsn1lEJ= fOYWFjk7vcD0ckSkF3jjwNNMbr6bKEk5euJ59t7VT0t4zJ6eYW5unnK5xMb16+irltBFWnWxVez= N7OkahnOEosnt4S/4Qt932OoOEJo6hBGuJ2E0XGFyQXCnKlMRAmMc7XabZrNBPWrRTGJSC+iAzP= Mw64ZQE6PIwCuWiHqoLlAVzlcd7/euj/uFmRRrVoFZk4/aZGlKVG9w/sgJ5l47QClNqJVDyr6PE= xLVTPCXE1o9CovAuvxirEBYmXfujCGKE5J4BR2eJ8uGEKLgZaUE65BidUjfdmiOQjhKAVjVSi+V= 2naW6m8yOlgtvMFsl5jIeqs0mgn9fQZlLaGK6A3jS6i4Prq4bsDqav88ayzf+t7TTGzYwB/9/m8= zWC1jgMD7A77+7R/TnNccOPITXtz/tzhnkUJxzx0bOXl+kf/zz/41R947hlCCu27fyZ/883/Gz/= e/xb/9d/+ORPfgsoj144P86b/4E773ne/z05dewznB+rE+/tc//Z+wJmX/Ky9x9MQR5leWCJKDv= PXu91iqt0nMCsfPDbOYpPzsxz/COUMcxzz5xGP8iz/+Q/or/moGdzOueQgsfXKO3x74Gp/p+Xv6= xCLCJQhhETrPcsPQZzCRuMxhLERRRKPZpN5u04xjUudwukQiNe9Kj/HRfqqh382kpFJFxgIFiQo= FybCWAXXFauxVzirXV5kkIYki6vMLnH3jCNHR01Slo1atUAtDPKXInMWlhlI9o5k5MmkRcg2XJA= 3C5vxtajKaUZsev0GWRQjh4RRI55AylzBIJ/LvO6p4LlxkIISkt2+UhTOG4T7L0krEzPwS/X0a3= 9MkXolGstzVi2kXU/HaXKjm+mjjugGrqwlHvgnk+Kkp7r9zD73lEu8dP88zz71Evdkg0JbD069w= +uwUW7bcx+ZN9/H6W3/Dcnueb37vWY4dPcL/8b//b9TrDf6ff/3/8jff/BE/e/45Hnv0Eb7wxaf= 4t//+Lzjy3ru8+MrrvPD8y/yTr36V9RvW8X//2f/FX33j21hr2bBpHf/Ln/7PHD15hj/7V/+K8f= 4qc8uzPPWZT/HJJx7n6R8/x1333MsXnvo0P/jB07z8yqv803/yZfoqo0Wn8WZc+3AMyyn+aOj/4= 6HqK5RVCyEz8CzCE+BJTBYQn+pFmABrJUkc02y1qLdbNJKoAKqQttR8v+WxLxJs/8VZHtuznrGh= 2uqbfU0GZZ1F2jVjMmv2C+bbb4psqvBubzebLJ05z8wbh2Fugf7Ao6dUohKGVAIfTwriNCOxjko= jYcY6pHU447CyQ9RLZOHUYK0jyzKSJMb4KULZot5TufWRFCBzP3crRM5GyZwGWTVKdWgdYlyJZp= zRUDtxlYhG8wD9NUB7pKktLKItShgqvrlgr+JHHTckWIHASY+hwSGEzcgyy1JjhUPvvcfU9Hlmz= s3zxGOf48zsOzTaRzk1PQs6o9GyvP3uu9y+924euHM7S/UWz2y/lXcPHSXJDA8/+kn2TA7z0COP= MD0zw7lz55FK8OqrrxC+USIISiwstxga6Of2u+7izl1bmNzQz1/+5SAGj+HRcR66/y4ev38P1gp= eeO55/st/+SanT5/G0xpjr/5VFOLDq/Z/o8M5+uQcfzj053yy9jKhaCG0Ad+CV3jHKUnzvQrxQh= lrBEmSdIGqGbdJrcXqkLrwebrtsy/1sb7m3UXD8v5zfHKnYdu6fipSI4vlpq6j6xN29SNJUJSAt= stPmTQliSOaC0vMvXeGpUMnKCUxPeWAnrBEOQgIfJ/A81AidzvVxlFKc6M/FGRCQDFvLaVFSoG1= EuMsaZbRjlOsdAhtEUbkoOVyLtU5t8qvSYm0okugU8iAlNLgDbGQ+JT7NqGDOmbpDFBHqhArVh0= pBA4l7DX9EL5BwQoCrXjk/vs4/M4vOHz0DBs3jvMnf/wH7H/9Hb7/d0+zsDDLxMQ4e++4kz13bO= PwsfO0GglpskSaJtTbKc0oo1wpUekbQCqoLy+z2HbE7TbjI6MMDQ6zZcsWHn78Uwz09PLzX7xDr= X+ANGqQxC2aScpcM2F8bB3WQa23RrlSod1qs+/FlxA4HnrwPo4eH2bq+LFcjXyJl3Otyv6X5rhu= VosfKnwR8ZXB/8rDA/sIXQuhC5AqCUSYg1V7OaB1oozNFEmS0Gi3qbdaNKMcqJwKWPTKPB2XeNt= pnBa5dk74zEaGH749x/mliLtvGWW4t5Jnax35gVgVX7rCucEVTgtZEhM1mixOzzJ34DjZuTmqEn= rLIZVSiZIfEHgaTymUkCjh0FKirUU5kW/OSXNQ7HyYSWmQUiBlrttKM0MWgR/K3OEBcsdP4RAut= 8GxxVIW5cCtsY6x1mBMG0nKyPAQqazlNLxL8T2BcxIn+5CcKY5KbnhoxDUlN65LsLqc3koAWsBv= PfEQ7ZVZnv77F1g/PoZxjlNnz7Jx6xYWzk0x0FtDaUej1cQkDdaPjrJp0y0899wLfPfHL5JllnI= l5P4H7uPIkUEOHjzI7EqbkydPsX5slF07t5PGTRordTQC4SwjQ33U64KTx2d5+mevMTO3RLlcph= xqvOoAXljCOku5WsXzA0CSphmDw2NkxS65i/+qteT6xUT7xfrAm3FlsdE7xmcGn6eko1zX5gGlQ= u9bAqs9Gu9WyVqaLM1oRRHNdptW3Ca1GUop6uUyL+lhzgiNEBna2KI5onBK03SWV05FTC+f5pGd= I2wa7SMMvK6rAazqBztWMUkc0VxcZu7YFEuHTuK329R8TSUMKIdhnlF5Hr5SaCHRQhT26aJ7XGt= cATR5CCFyHkqa7vWMcQjZjyaXYHS6hR3Oysqct4J8ykNK2R3taTUXSOtvUAliolRBeTe2dRRftp= AqIs58hOhDS9n1/coMNBN5Tc/V6w6srrQrJqRg07pBfufLT3HwyDFmF5eRznLP7h2sHxvha3/1l= 8zXHf29JbI4Y+f2LezddQs9PVUCT3F6agpPaz7z+ENMrB9jqRWjK1XwfPpGJ+j1LLduW8/YUC+H= j54gSjMevGc3t+3czpETU1RLJWZmZjlz/Aieinni0UfIVImxkSH6qmU+88SDHD5ygrTd4u7bd5M= kCb4vC/rxaoWMN9HqqsJZHuh5iQF/BSEyUB2gcogyuFARzYREZz3S1NCO2jTaLZrtJkmW4mvFwC= af6kBG5WzCgF9CeppGlJGaYnugkAghsc5wop4y/9o0ezc2uGNymIGeEloWWYazhRwhImq2WD43x= /y7J8lm5ylZQzX0KIcBJT+/hL6P382oBEquUvRCKbK86UcSZ0RNgfYVpYrDhqvLMZLYYuUQ/f3j= OfWQZVilkNaipMyXTBR6K9m5ONvl35IkYWZ2iaDUQ6V/G8QteuwZtDa04pREbEJFGb7sCghJM0E= r8a+pVcx1A1Zrt39cafhKsGndMOtG+mhnuQCvrDVp3MbXjrK2PHDnTrZs3YbvSwKdvzAP3LWTu3= ZvRzhJ6Pu02k08FzNc66W3WqXua/yyz9hAlS1jNbZv3UCapWiXYpKYO3dsYHJ9P9/61hFsc4Hdt= 2znsYcfJCyX8ZTEU7D3ti3ctnUTzjp8X+MseDpX19/EnmsbmoSt4TGUyHKeKgBRsnlWFUgIFPUj= Hmk79zNrttq02u0cqHzN+D0lNj+g0FFE7d1z/M27MQfECEJ4tFJHYtaKhzVIRd14vHi8xZHzJ7h= vso9t6wcItASTkrQjlmfmmT1ymmRqBh3HVLWkXPIJfT8HKc8j9BSelGgpUUX1IAu+yhYavVg7lC= dIWh6pGEcZTbzcIGgu44cZoFDhBoY270HouZ5v2wAAIABJREFUsCtMtc6hZLG9p8ikOmAlhEBY8= hJRgF/uZXTzJwvPK5/G0lGETKg3U+rJAKWeTbD8HmFXf+Vop4p67P1mzAaujSshlEWhMNdaorVP= iClWJWksDh2WcMvLuLhFX6VEbvxY3EYJQs/POzYIZLXCzltv4+zMHCZLGRgZZPumcUpBiKegV1p= eP3yIr/3VsywvZ9T6A/pqKWfPnmCg2stvP/VlBvv6kdJ211qWpaCsO6MHBlcwoZf62z6Is+r87C= bFfuUhsAQyQqgEtEWEBVCFOVAZ5dM8BUkc02q3aUdtUpNR6vHY+OleNn86QGUxYslnj4ypebP85= /0tXgsm8LVHK3EkxpE5kYOIEwgtcE5xPkr47tuLTJxaYtd4iQFhaJ44Q+PYFF6SUNGSINCUPE3o= KQI/INBezlFpD08qvCKj6og0HfmWHuv7NCsa7UtUeZywdgtK69wbPmkS2ZhyrZ/a0Dg6LOduEsb= kGZWSOCexrgApKwuLGINJlvDcOUqqju9JhAyxYhThD2Jti4qcohlbFuMNlHt3IESAnj9NaaQY1n= aw2ApYbFev6et6XYLVlYUo7FllIVVTOdloLaGn2LJ5C9NTU5w8eYo77rwbGXo4J4tbrvX1cXhCs= nNdL5NjFazNwUwLlbd3gRPHjvIf/t1zbNzwFJs2jlNvTrN//18z0O/xla9+iYktY6sjah0vK7f2= qZW4jmr9ElnV5Tmrm6qsq4kMn/N2ACFThO8QvgNf5pdAg9D5Kq52QhJHIC39m8ts+lIvQ3s9lDC= IloaKRaeWzVss/71ZYfStIzzvJlip9tDMJO0U4ixfQEExPyq1j8RjNop5a1YyuTLPwImTDCiBV8= 65KF9JfK3wCqDylMovUuJJ0HJV++TILWwywAYeS+X8XPIqA7lqXmmkkoQ9vWhP4wc+yvPzERxjM= JCPiTmHkjlnlX84pqTRCqZ5mIHKEuUg1y4mqQMBSp5BZT1Yp0mSFiv2Fkq1jWjlY+qLDGUr+F4/= QgoyKzixUKN+je2Nrx+wuuoWvej+f0GPTUikEty5Zw8/f/VVDrz7Lp+4b4qJjRMAJHECOLRSKC8= AIZAWlNKUVTFvxSqoWOfY9/O36B+8h96BrQgkA94k27c/zuj4cW7bvQsh1JqBP3Hhw7vUY7wZ1z= Sc0LxRv5MvrH8G6QF+rqki1BAolBb03O1oz0WUfBi7p4+Rx3uorJNIDGSFp7EW4EtUIBgcEjw1m= TB85gQvtYeY65tkJYV6O6WVGDIjEc4hAU9JBmpjPPlbv4v72X8lmj+Gdg4pciDyVF4N6AKofCXR= SqGLZRVSFKymEPnaMGvJhKJZDWn5qlgXd9HAsOhYrRf+XEaAMF2rGSkFpjM54SxxaxHXfIuhWkS= WWRYi0xUqd4Wmokk7G4LSbQTloXxA2xjE4jmGygrPU+AgsYqTywMk9tqu5rpuwOrDFTqi++/FGc= nmzZvZtm0bhw8f5ic/+SlPff63aDZj9u8/yNJSmw0bauy5czeDQ304JVCoC49XaFFMlrGyXCcQW= /KRBgnCScp+D/19/Xi+LrbdXvh4uKCk+2Cl3AeD9Ee1xPU3K5azPowApVwBOgo8Bb6H8DRDn9GU= tvnIQFKaCFAlEFmWOwV1WrCO7kUKKAewa8AwEDU4c8+jnInh7NQx5hfmWWm2ybIMrTxGRsd58KE= n2XHb3Zx8/uvoIETbNJ9DFQKtNMrz0UrjKYFSHloqtJKrhHeRDVnrSKwj8wNm+jwyJdHOAdnqOn= kpikzKYaRBZqsNHCtt7v9umigipHTYtA3JFGW/TjuynX3TSLHq155LL3xc+Ta8oD+/hnW4KKI6e= 4yBWoBS+f2stDRH5kaw7tqu5bpuwOqjjlKpxGOPPcb58+d58803WKk3OXtaUQpvwfP7OXp8mrcP= /IDf+/1PMzQ4AFJ1uSNXbPFtNpucPn2a6elTnD61QN/ABjy/lyhdZqVxmI0bNqKl19mMesH9Xww= waxXOVxcXAuC1CCkh9AXedXY2GANx6siyq+tJSDLu7P05np+B7mRJErTKv/Y02vfpvSPPrAUuv7= MOSBkHxkJmwVhc/n4vFoQK+gf7CXc/yOaBzTRWFliaO8vs/AztdoOB/hHWb7yFgeFxSGJUY5Gy7= yEyW4BVPp6jpEJLgZYKJXN/NLlGpkDhLJpYQ4IkqVaY7/Pzks5anGvmIlMnsEYUFYLBWoExharK= 5kib1E9REifwQ1OQ7AZHShznf1Q+MiSwwnW1gLlrkgThrZlpBFGfZ51sUw3zfZrWCQ7PDTBVH7r= mtcN1dnp+dCGlZHJyks9+9rN893vf5dlnX+bO3f+MsbF7kVLTk23j7Jmf8uYbR/jko58oto8Yki= RhaWmJ06dP89Zbb3H8+HHm5xdJUjh67O8olQZJkiV23lZl165bcpXvR9Cw/Yd6zH+YUBLGhyS3b= 9WsH9ZUy9cRkS9yoFpYshw4kXH4VEaUXNlNK3KZe4deQ3gWoUUOVGrNpWMV3FFgGwNZBpmBxEBq= ILX5Jc4vNnYYk9MMXm2EtG+coFqjXOlleHSCLcVWGlWsyBJC0F44h78ylyvLtQAnumAllUAV5Z+= SsgtUsgBPB2TWEhlHFpSIxoZoVsGR4YwDWvmCiaL+c6Yo86Ql60hAnSNL2rTn30WUVnCZKrKhjg= NpPszsOk2CQn+1OifogSWXNVggTeiZP8FYWeJ5GucgziTPndxGlAXX9HTg1xWsOm/4MAy5++670= dpjYfG79NY2InSQc1ZeFan6eP6Fl4AWJoN6vc78/Dxnz56l2WySpimlUon777+PvXfeg1IeiwtL= 9A/cyoYNo/T0Voth0itPf6+Xks7XcN9uj0fuDOirSrQSV+6x9TGFA+w6uH2bx1tHU77zfESjffl= bbQyOMVqZz8s/VbgxXvDHrQ4bY20OUmkHrDJIUogziAwuyrCRxUYOYyVKa8y6e5DlPujwO0rjqw= vfSs45zJnDlEyCk2DIOSZBrnNSUubAJhVK5lxVhytyhRdWlBkiofBGNzB8/5epNPbRWjmFzRzKa= 2NM1j33rMjNbk2x6zBzDiElaRyTtJp4Ii9DlZIFSOVODVK6YlRHdu8/f6AaK8fxrchXhjmHXJ5h= QzpLb2+AlPnjPHBukANzk3m3+xrHryVYdSI3Ewu544493H77EZr1epHOS5xNWFme4uzZXzA3fRy= kwliDlBLP8xgZGWHPnj3s2rWL8fFxfN/rDmmKbqq8+gb4oPLul0do3Af+/peu+xF3A5WE+2/3eP= L+kHL48a3/vtoQgFSgS5J7dvpoBV97NiL+gAxLYtlRPUToxWuAigKgCpAyFmxaZFUFWGVZnlEVI= EU7yy8tg2s5suLqutpPuuvLCPXBZLIzGeb4m2ib5UBSdIOF1AilkEqjlUYXQIVctdG2zhKblIZx= 2J5e+u58lL69X2TP1AA/e+c/kZgm0kvIbJp3nW1uRWMRCLOaVQnpsE6QmZAkaiAEaK/I6qRESFd= 4Ysnu1ufOs+i8DXj+aD7cnGW4NGL4/EE29Ap8TyMEtBLJd47cSSu79mu4+HUHK4pyMAwDPvnIXv= 78z3+CMzGVYICFxlGEPMVDD95LEPp4vk+tVmN0dJR169YxPDxMtVotNi5z0dIIPvL6/AMB6yO9J= xjpl9x7m08puHqgcp2Roav0H/uHhlaC27b47J7M2H8oe99+hSditvccxvPS3AKmKHu6wJSaHLQg= /77zs6wArbaBKINWhmtkmKYlaxdzb0IRbXwEBiYva/Vq6guIE++gTZKXZ0p1PaRyuUHOWXXWunf= aOtY64jSjkRgSv0xl6y5q9z2FX+1n15bHWWgu8+ax72PSXPCa2xXn95kr2Necp86Bk1g9RNyaQc= osH1C2Eqcd0kmcFVjp8g1ODqzzwJvAC29BCh9hDVhD7dxhtntNKuUepJRkBl45s4VDC5MfW5/7h= gWri7fYfFBIIdl5yzb+6A8FL7z4Nu3mIbZu7eEP/tuvMjI6hJP5dbTSKKW60+gXHvujI7ovJwK9= 8LofbekoBWwaVwzW5FWXfdYajh07SBiUGBwaQynd5TdkYTniAK09smLhKC4XHiqlsNZ2txRTXO9= qIvAFk+s1b7yXkWWXvk5J1llfnUZ2bFE6TV7rcjAqbIbzaWBXcFMFR5XkYOWKjMo2LLbpyOKc07= H9G2nu/KegP1hP5JzFnjuOWphCOAtSFkWSzLOqovSTBaneCWMdUZaxkma0tYc/McnAE7+HP7Ylr= xKCCg/s/ALOKQ6eO4BAI6zDyTVmfsZQ8OqIolTzq6O0Gmdx9XnKCPDJeS5lcUIiXSfDCnB6G15p= Aql8hMlwzhLOnWZHPMXgQBmlFM7BycUa3zp8H6m7tuu31sYNC1ZXFULgBwG7d+9k27ZJ0jQjCHw= C30fItRmTeH8QvEx6c7WAcuXX/4gzOAm1qsTXV59VGWOYOT/F5s07cA72vfIsnh9QKlcZ6B9ibu= 4caZqwdesujh07iJSSSrUnv82WW5mbPcfA4DCLC7PUagNs2rzjqp43AZR8gZa5wuBSMaDn6Q+WE= Mpd6HyXFuCUFf8bm3f9YgOJhdjgYpPzVLHDtSy25TBtctuVoJeV276KGb39so/ZJRHi0Kvo5jKZ= ELhCXCxEzlUJlc8VSjrCzxzQo8ywkhraykOPbWTws/8dlR2fQK7hwyqlGg/c9iTIgEOzx0iczV3= +VlUW4HJ+Tcicn1JeCd2zldZ8G6XaCFEMWyPzpSsIBAqrN6FKGxDKB2sRWUJ54Rw76++xfqRCEH= hIKVholfjrdx5kpj18xa/dRxE3DFh9UCZyRXKAQrtSKoWUSu8vLXi/7y9gjdzq79/f2uXSvNSHu= f5HOckuOmXsh8RAW6w6tzYjLJXRyqO3p4/FxTl6emq0Wk3Onj1JFLUIwlKuOxpZT6vZwJiU8+en= 0EozNr7x6jNGsfaLSz0pjrKuE6hkdVogc3TfzUnR/csspC7PpBKDiywkFhdbXAIuddjYYSPIMoH= xKtS3PEW0/bfzN/IHhXO4hXOoo/uxaYIQAoXMOauOKHPNTF7e9TNEqaGeGdpS441NMPDpr9K79w= mkf2EWJ4SgWurjwVufoBz0cHD6IPU06u5Lsp1zqZNtFVuS/XIfabSFVvMg2jcIVVQKRYNIyBrCH= 0UJhTIGHbfomT/NrfE0m4ZKhIEPQrDUDvj+kT0cXpq85rqqi+OGAauL48Pqlq4Vz9LddHttjv7R= HclBO3YY69ZM9F9ZSKkYG58gyxJMZli3fjNKKoKwjBCCVquOH4SMj23E833CsEyWJmjtEYZlZJF= RlMtVfP9DtLpdh3J6/+dDEyOsxWUOkeSuB6Rr9FOZxaW2m1G52OWXxEHqcAacAZvl/I/xqzQ2fo= bGHf8cSv2Xf4gmhaP7UTMnC/8oSXerupQgckcFIfKFbJk1tNOMRmZoax9vfDMDj/8uvZ/4LVRwa= eJaCEGl1Mveyfvo9UJ+fuxVFk2Cw8tLuu7G5dxsjyKr8yv9tFu9pPESyitmBAHrfESwEV/6aJPg= 1esMzx/jVj9i3WCJUilESEE99njm2G08P3UHifn4yr9O3LBgdTM+XFgLZ2cNjaZloHZ1O96UUmy= Z3Fm4TCp6emtdgA6CEGsdvh+glGJr5baLbr2aDQkhL+AFrzRS4zg3b8jM+1/HOYnLyIHHWkTRxc= slCnk25ZIcoEgcNnWYVJEaD2XTwvEzf7xZqZ/l9Z9j+fb/AdszcUU7Cl19Efn6M8ioiRN5180WA= CKkQhaZlXWO1FhaWUo9cyR+SLDxFgY+9wf07H4YFVY++H6cITqzD/H2N+ibnmIm85Hjk6hKH0Ll= w82FhWj+nANaB6jSGFG0ghfkTqZO+Fh/A2VXQTcalObPsCWdZUtfwGBvmVIpQEhJM/F5+tgenj1= 9L820ek2tYN4vbhiwel8jvg/IsC7moK7F/f+qrv9hwwFnZgwHT6bctyvXV11NKHXpUyYMy1d0vQ= 8bzsHMguGNI2lXInWpaJteksgDmeVL22WHpwKXOUjzMs+lDmsFy6afl5oP8Xp0N5v1e2z13mNDr= Y0a2kR9w2eI138Swv4rWvToTAZH9qHPHIJiGYMsSj9XgBSF2DMxhkZmaBqHKZUpbb+Dgc/+AZVb= 7kH5lx8IjpdO0Tj0dfrFMvdtqDAxv8LBoy9x1lVhbCO6fxQZlnBOFV0aiXZg0xSXZbhMAh7CX0/= JhJSOv81YsshkzWd8pIdKOSQIfKSUNGKfv3vvXl44exeRKf3KplxvGLD6jY1r4MHejuGZfSnVkm= LnZo1W5K3r6zCcy/2czi9Yvv5sxOLKB334CM4l6zjVWMeYPIl0hUzB5NWgM2CMJHOKxbSfN9t38= qPWlziU3kHkKqgkwyNmwrN85dZ+hofKKK2v+K3pmkuo/T9Cxu0ik5IIl/NSuQ7KkRUdv2ZmaKGQ= /cP07n2Egcd/j3B8EnEFIG+toXXyx3imTk9vicD36CmHjPVVmFlc4dTMW5w/+SYruortHUBVaxC= EuVJ98ThlFeNWMqSJGFAtNpQ0G/rLjIz0Uq3mx1NaY51ieqXG1w99kgOLOzDu2g4qXy6uG7CKEk= ez/eGzoEtnVpcnuhGs6clccMQP8yg+8us6IE4+WpIdYHHF8vVn2+zd4bFrUjP0IaQM1zwKfu3ol= OHFtxLOL9jLPmsN18d3577IuDrDsDiHdBbjJLENqJteTsabeD26mwPRXs5kW2jR2zkJyFBkBBxZ= gL94WvDYXYadWyTlUKIuUwE657DH3yQ4fbA7BN0BqayweYmNoW0sbQdpWCVYP0nvA1+g9v+3d+a= xcl33ff+cc+42y5t5C9/K98gn7vsqipSszZYjRWgsG27qOGmAoE0QxEnbIED/SQskQZ3UaBG0f7= RA4dYoDCdFgQQxEsWqLdmSKVukNkrcKe5vIfn2fda7ndM/7jwuEinLlkg+ivcDDGYwc++dO4OZ7= z3nd36/72/301jFZR/9omQ0Qge4jo3nOth2UteqlCSb8WhvKVKu1JgrV5ivXKYyNkikk6KwfmnI= 2JJCxqW5OUdLMUcxnyOX8xoipTBCsRBkOT75AC8P72Wk2r0kPEOWjFh9d3+NVw/7d/s0liQTs5q= 6/8k7WpWqhgNHA46eDcl64qOEZO4sJql8KVU1fvjRdtFYHKo+RnmkiY3uMWxTpyqamAw6GYv6mI= i7KZtmIm7tamkMjE1rnv+pz/ELEbs32PR3W+QyIpk2iw/uabSGY/sxfiUplzGmkbql8bXGjzV1b= QgsB9nWSWHzIzQ/8it4fRuQtvvzpXBIi2z/0wRRCR2Po02EshRuoyjZsS3yWY+25ibCKCaOI+LG= 3FlJievYuJ6D5zq4joVlqSR/SigWfI8Lcz0cGN3JUGkllSi3JISKpSRWx85HS+QrWXo0Oo3fFmI= N8xXDfOXTY+/nk+W4/xCn/R0IDBpFjEKjPnINmzFQrhlODUQMjMYsK0hW9iiWL1NkPYFlNZLjG7= 9aE/n0jQ5jmWSqF0RxIlKRpqYNgbKp59vwOzejtjxFuHYPFasFMa6AD1kxuNX56RXo5t8imn0PZ= +EIrdYoObuKlBrbTgqWXcdKPP8bpiBSJgF/pSTKaiQ/C0mkFZPlPIOl5bw9vpmRah/lKI82askI= FUtJrD4saJqS8vOisfA/gZ93rKFcNVSqMZenYmwlGjG+G2sahIn4QrmZNVoSRYtiZagLm3qujfH= 8Rs7nH2c6u5F4tAMmnUbi18chB3o7Sq+iKEdYmRugxx2iwxsja/tYUmNJEnfQxdKexgguDCLm/Q= wD1bUMllYwWFrBXNhGLc6gzZKRhRtYmmeVkrLEMDRcZKJbxDaN4IeZf0YtjOgQF4ijmGmrkyuZz= Qxn9zDjPICvCmhhYeqLMdJPYjRrAS3MUuBSbTW28PHkAk1yhqI1SU/8Kp3xUSwJnmfhujau5+G4= NjPBcl4e/wxTwXJiY9+VdISfh1SsUlI+CYRgzN3E37f9MY4uJzYtKkMoMxisJHXhNqJRaC0JsQm= 0gy8cPDNGwZkm6zjksi6tbQVa2oo0NRdxHZtaLcRq/jEvDuxluNKHb7JorT5Smsbd4L4UKwE0Fw= TlqiF8X5GZZV0zjUxJ+XkwQhKqPKG6vV1e3o9AY4saXc55ep3jFOUgrfY0eVWm6MbkM8toKmQoF= HJkm5rwslksW+G4EfusSVY3/z2XZzOMVDoYqvZzem4dc0ErkU5jVncd1xX8/pdz7D/sc/h0RMOv= DEvBFx7zeOlNnygyWEpQqRvyGdEo2DdYUlD1TcPOW1CqGvJZwdScTgUu5Y6jREi3O8C+4g/plGe= QuoSlDEoIbEuSy7jkci75vIeXdXEcC9Xws5K2TS4PStUoegusqk+zNz5LiaO8M7WFlwd3s+Dnls= z08L4Uq53rLKbmNdvW2IQhFHKChYqh2CRY26u4eFmxZbXF1JyhFmge2uTw/dd99my0mStr5kqa7= mWKWMM7pwNW9Vh87zWfOBWrlDuIJGZl5iyf7/hHOtQwJvIJI4NtWzi2wnFsMhmbTNbFcR0sy7rO= PwukSnoUStnormNVieOYDm+BlZ0nWNFW538f+gwLwZ0dKd6KpZZZc9uxLXh4i8NsSaO1YfXyZCm= 6pZB4ZC9UDEImWd6XJmJWdlkEIZwbjmgtSLSG3g6LyVlNIZs0o3zzZHjbUgtSUm6FJ8vsbn6NTn= cMzxXkch5NTRkyno3nOeRyLtmch+e5OI6DtKyrtjE0nCAQ1zzpbdsmm8/h5bK0FCweXT3GIysv3= O2PeZX7TqwKOcHgaMwLB3z2vxvgh4ZiXrKqx2K+rBmdjonjxKRuU7/F4TMhAyMRQQTVusFzBDXf= kPVE4o6r4Zm97s/McE5J+WQxNKkZ2u1hpPaxlCCbc2gu5mhuyVMoZslkXWzbuuqXrsOIKAwI/Tq= hXyaolQjrFXQUYNkWmXyeXKGZTL4Zy8uSc0I2tV9eMgHc+24aOFcy/L+DPvXAcOFyzNCoxmosgN= QDw7ELiWXu8QsRSiYdVo6ejwhCw//6hyqIJAAvRJIUWA8MQ6OJwKWk3DGMQRofohqRiIgUxJbC9= ixcL4lNWY0av+ubQchFh9KGDzwiuVeOi7QS2x4TBURBjSjwkSa8aau5u8F9J1axhjhIrhRRDNH7= Ak3hB/JouJoPU6re/AoThEvjypNyf7EQ5pisNZEVc8hGpdpi30tjErM8qRRCWigrqfsTi63AZHI= vlL1YREtUr6JDHx2HRFFMPdC8N96+JISK+1GsUlI+LVTjAm/NPIZrvk9nZg6tg6tdnONYE0cxUR= hi2T6WbaGUdbXMRkiJVA0H00WB0xqtNVFsqPiCg8OreXV4aypWKSkpHweBljkuRbt4aTrHhsxbb= CicpxAHiZNrrImimDCKsO0QpRS2pZCWavjAL9YGJmaIxkAUC6qhxcBsCz8Z3sKxyfWUo6WxEkgq= Vikp9ygiafIQyyITZgezlX7eq4/QaQ+yIjtET36eYiYg5xpcGxxL49iglEYqhRGgEcTY+LHDrJ/= j3HQnZ2f7uVzpYiFoJsZaMqMqUrFKSbmHEQIhFOARmA4mTBtT/jrOBVUyCyVyVoWcVcVTdTJ2iG= vFKGGIsQi0h28y1OMslShLKcxTCXOExm04UywdkVokFatbIBv21bG++cqt6wiMNgQ36QklBDiWQ= KlktfBnOUpICRlXJB1/VRLIv9VqseskCwNaJzljcZyc44d9jkJeMFdKFwE+vTRESygMNr7JUTfL= mAsNItQkvZrNDSV/BpncjGjULX6Mlkd3iDQ76Ba0FiXP7HXJuImPaNYTyWMBGRce3GCxaZVF1hP= kPHHDD0FJeHK3w7/+So61fRaeI8i4iRB5DuQ8gWoIVK6x/2e2OTy63ea5Rz1sBbmMwLUTQcp6if= DZFvzhV3I8tt2hpUnyR19dPH6yjRTJMTMuuHbyPq4jePZhD8dOtvEcQdYVOPZS/2mm/GKIRtsvB= cJKGkIIj1hkiLh2i3HR2BhhNWRg6f8a0pEV0NMuWdWjeP14eHWU4tqCQl6iFKzuU3z+QQdLCd44= GbJnk00hJzh2LuSJnQ5RDC8cqDM4muwcxfDSmz6drZKeZZJn9jlU64ZLY5r1/YpKNbHqfWyHw/n= LST5XHENLQaEkPPWgQ3e7oikruDQe071M8Tc/qlOuGZpykke3O5SqmqacYO0KxSPbkqaVAyMRj+= 9wODUQkfGSZqCXJ2PamwUPbXLYt9XmzFBEX4dioWL47v461Xo64kq5N7jvR1YCeHyHw28/lyPji= Q+8JgXsXGfzkyMhf/Nyjea84OKVmEPvhQ3fa0FrQbK8Q11NLnXtROwA1q+0WNGpaC0o+nskVyZi= Dh4PWb8iCV6+9KZPPivJZyUTs5ozQxGf2+PSVpS0FCSFnOTAsYCpeY2SEIaGhYph3xaHKxOa9X0= Wp4ci9r/j8/AWm1pgePNUwAM9io5WxerlFi1NEteGQ6dChsdishnByi5Fxl36V9OUlEXu+5GVAV= 5+O+Dw2ZDadaOMKDY4DmzstwhCw+ZVFrayGByN2dCvMAb8IBGP2cCQ8yRfftLj+Z/69HZIdq+3a= WkSHDwW4jmCK5MxM/Ma20rKdWq+Yb6sCUKo1JIYVaVm8EN493RIpKEpKxif0VTrSdxMCJgtaV4/= EfLkLoe3TgV0tige6FYsa5a8NxjR3qKYLxvOX4qpB4aZBY1tWfhhEj9rK0pKFYP2bp9VckrK7UD= 87tcvmTNXfnafsvsNx4bmvETKZFqXzyRTtZmSoaVJIkXi0V3MC6II6mGyRDwxqxECOpqTAtHRqZ= jOtqTSvVw1RI2AuOck9rgzJU1TJmnXpKTAD5JAaHuLpFo3VOqGOE66vCgFLU2J2BRyieglcTCB5= womZmMyrmSupGlukhSygpkFjWMntjY0RoptRUkYGSbnErFMSVnKNHkxv/5LdjqyuhVBmAjPIlNz= 116r1K4VAs4u3Nyc9tLEtX0xXknSAAAJw0lEQVSvTHxwua52XbeaufLi42vPlWsfLDaMY5iaS44= 1OXf9u157XK0nr0/Pa6bnP/g6QKmaFjKm3Hvc9zGrj0s6k0pJuTN86MiqYXOTWNun/8qUlJS7yA= fESgjobpPsWidZ1RngWprpss3JIcWJgfimXZMbRdsfipKJ6KUtt1JSUn4RbhCrnAf/5BHJZ7edo= 1j7Mfb0ECYIUHIZz6zbycVtj/KdgxlOX7qWYd3dGrK25QRuYS3TpQyxNkgpieMYpSRRbGjOC3qL= V5DS4ux4JxVfMTCauHGmpKSkfBSuilXGhV/9fMyDW7/H9PBLfPf5s5x9r4LvG9psl2f7zrBz+UX= +7SP/lP8iOzg1GIOAgruALh2nvvA27bk84+PjbNy0mbGxMdra2piemaVDtdJi5xkdHWFtvoWyU2= R6fg/1QF2damqTTjVTUlJujUVjirZrvWHn9tc5deEHfOsb7yLi5ex7+FcoFAqcP3eGP33lFZ5tL= fG1CY/f+9Wv8KczGeZKhpg8ov3LWHqKSMRku8rMxq1kOjZQ0gqaqkzUQ3JuH93dBifTwumTrcyW= FG0FzZruOsLEjM3nGRhLkxRTUlJujkWj7u3pRxaYre7n2//tKK69ln/3J3/CxQsXGBoeJJcvMOU= H/N/B06y1O/hSfx+PbX2a5w+GTC44FPIWluoFI5msC+ymmMk5gUbSko9xHc2xQZfHHmjicmUDbg= 42roxpzfnMXfxrMi58dvevEUQFZkvQ2yEYHof6x+2u/TH5KLG4n7W9FJ9s8uWHnZOUjeTRdFEk5= VOIBdCch7aOMV48MMiViyH//b/+MW+//Rbf/Ob/oFqtorWmVquhteavrxzn2RN72b0j4IeuYGvv= GGb2FRxH4WWa6GwtElWneCCbo6tnBYPnjjA3P8fDj32BU8eP8blf3szUxX9ABgE7N+3jhSNXKEU= Be8Q5dvVIRqtrabeOUCvs5dKUc9e+mJYmwa71NhdHYgZH4xv++JZKRCi8rhnq1tUWHa2SwZGYiy= PXtv/ykx7/+JqP/wtaH1sKtqxOuulMzWme2Olw6HTEzMKNKxVSwhcf97g0HhPrZL/DZ0KiNKUq5= VOCJYBC3lASC5w6U6NY6KS9vZ3vfOfbTExM0NXVxfbtOzh48ADGGM5UZpitZOhyQwpZi6w+zd7H= t9OUz/Piiz/gpVf/iqee+jzz00P0diiW965g/fr1jA8eZGDwPO3Nmr6uHIePnKE024WUhghDa2s= b+/f/LU981ubEOU3VV3fsS8i4iUPB9MK1hYMoTjK9x2c0zz3uknEkP3zLZ3WvYtsaizNDEQePhV= d7BQ6Nxdg27Fhn071M0tOu+MnhgF0bbGwbzgxHzJcMuzfaHDkb0tki6WxTzJU0V6Y0m/otSlXNG= ydCPvegg9Hw4ps+Ugr2bk6KpV991+dLT3osVGsIFBeuxPR1Kjpb5VVnhmVFSTYjiGOYntPs2mAz= MpnUI6ak3MtIGlOGqslSMnkwMjGTb9wefHAPv/0vf4evfvU3+LM/+w+4mSyztKNN0lpaqBznzp3= jzNkzxDom42V4+uln+NIXv0Q+n2e2mqUe5wjDxGp1fm6WwaFBurt6iK9rCTM0maGzZw1/97d/xY= Jex0L1zonVF5/w+Ms/LJK/rpA5jJNpaD4r6GpVXJmMeWavy77NDgMjMe3NSSnOIqWqoVw1rOm1W= NmlOD0Y8dyjHo4FJy9GPLHTZf3KpNj5uUc99m52ODMUsW2NzdZVFtW6oatNsbbPorVJsqJL0d9t= 4drJ6G1Fp2TXBpuzwzGtBcnW1TYdLZJN/Ypd62wOnQrp7VBYVhKDzHmCLz7hceJCxCPbHNqKaTw= w5d7GMkCpIrDoxF21mrHZkwwMDvIHf/Cv+Iu/+HNeP3iQ0kKJr33t9zn4+kHavR4quS6qgctCJc= K3N9LSGrAwP42yCjz7a1/nBy8fomXZCtrauhGOSz2WdPQ9yPZML0cGmsm1rEeKmGzzGnY+VKRWr= zNbLdDcsZbefp+RchfhHZy+HD4dUqkZ6td1tpGNqZUgsWmZmtOsXq7IZWDHWptXDvms7FIMjMTk= PMHujRZzJUO90TmnWjdIBVUfJmeT1vL93RYzC5qsJ5gtG8ZmNDMlQ6Rhck6Tzwr6OhWOI7CUwLF= ASkGpormkDRv7LV4/FpDLCGw78dyyLcHEnGZqXjcCVY3zlxBrQxQno8WOFoUQ+mq5TkrKvYYFsF= CB+kwzKzdv5ciKA/yn//wN/uOff4P/+c1vMT4+Tl9fH+MT47zw/Av8UvdXyG9u5+CYJIgg0opyD= UpVyPb8Mm++7bLM/QzjYwJDMh2REizVhhSt1E7VcaydWMowcllgdBEEzDe5POBepLnvKd49cWdH= AWcvxZy9dGNcyrFhdCpxLrhy0VCpGU4NRLS3OFy4ErF7o83gSMzlCU09MAghaC0KvnegTlNWsH6= lxQuv1enrUlRqhlcO+dgWtLcofvxOQNXXVGqGA0d9pEhGZvNljRQQRRalqqFUTcTvzZMhQkBzk2= B0StNakIzNaPIZwTtnQuqBIYwMr77rMz1v6GmXlKpJQfTq5YoDx3xibWgrihtqHFNS7iXE7379k= rkw5rFrk2DvF67w/aM/4sBf/h0F37Bn927WrF7D0WPHOHXiHL3udn592z9n9W9u5Bvfi5mc1eQy= 0F5MDORGZxT//r1vsyKcQXS3Nnx3dRIAcu3kqp91EUJgaj5EMWZkCqMNf7Tha3StdBibtZiav/t= TFtFYeaOxqmZIXDif3usSa8PYtObkxYh6kIxc1GLQPUrEWUmIouRAi/YuUiT3izlliyt3V5fvGu= +3aFesr9+Gmx9r0Sxw8fnrD0cjQL+4jeDDLZBTUpYiN7guRDGcvggrj3TzuU1Pwb/p4+yPjvPTc= 8McOHOIjN3C2k3/gsdX76J373L+z1uJvYgByjUo1xZzSw3d4SzL4hKivRuRz2DGZxG97RDHmFgj= u9swQsDMAubSBCYuJ6IVxJwcspfMcvvNlv7rgeHFN3yUShqbhtf5r8cxLM5ctb6urKhxDGMgvsl= nM9dts3j/ftsW874HtzyWed/2cMM5pqTcy1zNYC9VDT96TbKv3Mtv7F7OsWUPc35YEwWGZbbFQ1= 0ZMrbFd96IOHs5uqWoHM6uYi6YhKEYoWqYQCHKteTfbAwMTy62QsbUJDg9xI6gJp0lI1S3whiux= qRSUlLuLFfFyhiYKxl+/Ibg5FnJljVN7G61UAr8uuG19yIuXAmZK5sPmUoIvtX9DLbR73+68Sbv= e1y89rCm3Nvw8VJSUj4t3FDIvDhyuDRmuDyuESK8mjH9UWv3qipzG083JSXlfuX/Axng9al+m9U= zAAAAAElFTkSuQmCC" width=3D"299" height=3D"168" alt=3D"" /></p><p style=3D"= margin-bottom:0pt; text-align:center; line-height:115%"><span style=3D"line= -height:115%; font-family:'Times New Roman'; font-size:10pt; font-weight:bo= ld">Nota.</span><span style=3D"line-height:115%; font-family:'Times New Rom= an'; font-size:10pt"> Recurso digital desarrollado como apoyo a la implemen= taci=C3=B3n de la propuesta did=C3=A1ctica. </span><a href=3D"https://view.= genially.com/6a20735cf9072eef012ca482" style=3D"text-decoration:none"><span= class=3D"Hyperlink" style=3D"line-height:115%; font-family:'Times New Roma= n'; font-size:10pt">https://view.genially.com/6a20735cf9072eef012ca482</spa= n></a></p><p style=3D"margin-top:12pt; margin-bottom:0pt; text-align:justif= y; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New = Roman'; font-weight:bold">Valoraci=C3=B3n profesional de la propuesta did= =C3=A1ctica</span></p><p style=3D"margin-bottom:0pt; text-align:justify; li= ne-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman= '">La valoraci=C3=B3n de la propuesta realizada por los cinco profesionales= comprendi=C3=B3 25 indicadores distribuidos en cinco dimensiones. La puntu= aci=C3=B3n consolidada fue de 543 puntos de un m=C3=A1ximo posible de 625, = equivalente al 86,9 %. La dimensi=C3=B3n con mayor valoraci=C3=B3n fue clar= idad metodol=C3=B3gica (88,8 %), seguida de pertinencia pedag=C3=B3gica (88= ,0 %) y factibilidad de aplicaci=C3=B3n (86,4 %). Calidad t=C3=A9cnica y us= o de TIC y potencial de contribuci=C3=B3n al aprendizaje alcanzaron, en amb= os casos, 85,6 %. Como se evidencia en la </span><span style=3D"font-family= :'Times New Roman'; font-weight:bold">Tabla 7</span><span style=3D"font-fam= ily:'Times New Roman'">, en conjunto, los resultados muestran una apreciaci= =C3=B3n predominantemente favorable de la pertinencia, coherencia metodol= =C3=B3gica, integraci=C3=B3n tecnol=C3=B3gica y factibilidad de la propuest= a por parte de los evaluadores.</span></p><p style=3D"margin-top:12pt; marg= in-bottom:0pt; text-align:center; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'; font-weight:bold">Tabla 7</span></p>= <p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-si= ze:12pt"><span style=3D"font-family:'Times New Roman'; font-style:italic">V= aloraci=C3=B3n profesional de la propuesta did=C3=A1ctica</span></p><table = style=3D"width:100%; margin-bottom:0pt; padding:0pt; border-collapse:collap= se"><tr><td style=3D"width:44.7%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; backg= round-color:#ffffff"><p style=3D"margin-bottom:0pt; text-align:center; line= -height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'"= >Dimensi=C3=B3n</span></p></td><td style=3D"width:20.18%; border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vert= ical-align:middle; background-color:#ffffff"><p style=3D"margin-bottom:0pt;= text-align:center; line-height:115%; font-size:10pt"><span style=3D"font-f= amily:'Times New Roman'">Puntaje obtenido</span></p></td><td style=3D"width= :17.56%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:0pt 5.4pt; vertical-align:middle; background-color:#ffffff"><p s= tyle=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:1= 0pt"><span style=3D"font-family:'Times New Roman'">Puntaje m=C3=A1ximo</spa= n></p></td><td style=3D"width:17.56%; border-top:0.75pt solid #000000; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle; b= ackground-color:#ffffff"><p style=3D"margin-bottom:0pt; text-align:center; = line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Rom= an'">Valoraci=C3=B3n (%)</span></p></td></tr><tr><td style=3D"width:44.7%; = border-top:0.75pt solid #000000; border-right:0.75pt solid #7f7f7f; padding= :0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-color:#ffffff"><p = style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">Pertinencia pedag=C3=B3gica</span></p></= td><td style=3D"width:20.18%; border-top:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"margin-= bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span styl= e=3D"font-family:'Times New Roman'">110</span></p></td><td style=3D"width:1= 7.56%; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:m= iddle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; text-align:= center; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times= New Roman'">125</span></p></td><td style=3D"width:17.56%; border-top:0.75p= t solid #000000; padding:0pt 5.4pt; vertical-align:middle; background-color= :#f2f2f2"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115= %; font-size:10pt"><span style=3D"font-family:'Times New Roman'">88,0</span= ></p></td></tr><tr><td style=3D"width:44.7%; border-right:0.75pt solid #7f7= f7f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-color:= #ffffff"><p style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><= span style=3D"font-family:'Times New Roman'">Calidad t=C3=A9cnica y uso de = TIC</span></p></td><td style=3D"width:20.18%; padding:0pt 5.4pt; vertical-a= lign:middle"><p style=3D"margin-bottom:0pt; text-align:center; line-height:= 115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">107</sp= an></p></td><td style=3D"width:17.56%; padding:0pt 5.4pt; vertical-align:mi= ddle"><p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">125</span></p>= </td><td style=3D"width:17.56%; padding:0pt 5.4pt; vertical-align:middle"><= p style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-siz= e:10pt"><span style=3D"font-family:'Times New Roman'">85,6</span></p></td><= /tr><tr><td style=3D"width:44.7%; border-right:0.75pt solid #7f7f7f; paddin= g:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-color:#ffffff"><p= style=3D"margin-bottom:0pt; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">Claridad metodol=C3=B3gica</span></p></t= d><td style=3D"width:20.18%; padding:0pt 5.4pt; vertical-align:middle; back= ground-color:#f2f2f2"><p style=3D"margin-bottom:0pt; text-align:center; lin= e-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'= ">111</span></p></td><td style=3D"width:17.56%; padding:0pt 5.4pt; vertical= -align:middle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; tex= t-align:center; line-height:115%; font-size:10pt"><span style=3D"font-famil= y:'Times New Roman'">125</span></p></td><td style=3D"width:17.56%; padding:= 0pt 5.4pt; vertical-align:middle; background-color:#f2f2f2"><p style=3D"mar= gin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span = style=3D"font-family:'Times New Roman'">88,8</span></p></td></tr><tr><td st= yle=3D"width:44.7%; border-right:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0= pt 5.4pt; vertical-align:middle; background-color:#ffffff"><p style=3D"marg= in-bottom:0pt; line-height:115%; font-size:10pt"><span style=3D"font-family= :'Times New Roman'">Factibilidad de aplicaci=C3=B3n</span></p></td><td styl= e=3D"width:20.18%; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"ma= rgin-bottom:0pt; text-align:center; line-height:115%; font-size:10pt"><span= style=3D"font-family:'Times New Roman'">108</span></p></td><td style=3D"wi= dth:17.56%; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bo= ttom:0pt; text-align:center; line-height:115%; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">125</span></p></td><td style=3D"width:17= .56%; padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0= pt; text-align:center; line-height:115%; font-size:10pt"><span style=3D"fon= t-family:'Times New Roman'">86,4</span></p></td></tr><tr><td style=3D"width= :44.7%; border-right:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; ve= rtical-align:middle; background-color:#ffffff"><p style=3D"margin-bottom:0p= t; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New = Roman'">Potencial de contribuci=C3=B3n al aprendizaje</span></p></td><td st= yle=3D"width:20.18%; padding:0pt 5.4pt; vertical-align:middle; background-c= olor:#f2f2f2"><p style=3D"margin-bottom:0pt; text-align:center; line-height= :115%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">107</s= pan></p></td><td style=3D"width:17.56%; padding:0pt 5.4pt; vertical-align:m= iddle; background-color:#f2f2f2"><p style=3D"margin-bottom:0pt; text-align:= center; line-height:115%; font-size:10pt"><span style=3D"font-family:'Times= New Roman'">125</span></p></td><td style=3D"width:17.56%; padding:0pt 5.4p= t; vertical-align:middle; background-color:#f2f2f2"><p style=3D"margin-bott= om:0pt; text-align:center; line-height:115%; font-size:10pt"><span style=3D= "font-family:'Times New Roman'">85,6</span></p></td></tr><tr><td style=3D"w= idth:44.7%; border-right:0.75pt solid #7f7f7f; border-bottom:0.75pt solid #= 000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:middle; background-col= or:#ffffff"><p style=3D"margin-bottom:0pt; text-align:center; line-height:1= 15%; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Total</s= pan></p></td><td style=3D"width:20.18%; border-bottom:0.75pt solid #000000;= padding:0pt 5.4pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; t= ext-align:center; line-height:115%; font-size:10pt"><span style=3D"font-fam= ily:'Times New Roman'">543</span></p></td><td style=3D"width:17.56%; border= -bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"><p = style=3D"margin-bottom:0pt; text-align:center; line-height:115%; font-size:= 10pt"><span style=3D"font-family:'Times New Roman'">625</span></p></td><td = style=3D"width:17.56%; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:middle"><p style=3D"margin-bottom:0pt; text-align:center;= line-height:115%; font-size:10pt"><span style=3D"font-family:'Times New Ro= man'">86,9</span></p></td></tr></table><p style=3D"text-align:justify; line= -height:115%; font-size:10pt"><span style=3D"font-family:'Times New Roman';= font-weight:bold">Nota.</span><span style=3D"font-family:'Times New Roman'= "> Cada dimensi=C3=B3n estuvo integrada por cinco indicadores valorados por= cinco profesionales mediante una escala de 1 a 5. El porcentaje correspond= e a la relaci=C3=B3n entre la puntuaci=C3=B3n obtenida y la puntuaci=C3=B3n= m=C3=A1xima posible.</span></p><p style=3D"margin-bottom:0pt; text-align:j= ustify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times= New Roman'">Las observaciones cualitativas complementaron la valoraci=C3= =B3n cuantitativa. Los evaluadores reconocieron especialmente la pertinenci= a de GeoGebra como recurso de mediaci=C3=B3n visual, la coherencia de la se= cuencia did=C3=A1ctica y su adecuaci=C3=B3n al contexto de educaci=C3=B3n e= xtraordinaria. A su vez, formularon recomendaciones relacionadas con una ma= yor interacci=C3=B3n directa de los estudiantes con la herramienta, la adap= taci=C3=B3n a distintos niveles de competencia digital, la disponibilidad d= e alternativas ante limitaciones tecnol=C3=B3gicas, la organizaci=C3=B3n de= l tiempo y el fortalecimiento de la evaluaci=C3=B3n formativa. Estas observ= aciones fueron consideradas para realizar ajustes menores antes de la imple= mentaci=C3=B3n. La valoraci=C3=B3n profesional se interpret=C3=B3 como evid= encia de revisi=C3=B3n previa del dise=C3=B1o de la propuesta y no como dem= ostraci=C3=B3n de su efectividad sobre el aprendizaje, aspecto que fue exam= inado posteriormente mediante las mediciones realizadas en los estudiantes.= </span></p><p class=3D"ListParagraph" style=3D"margin-top:12pt; text-indent= :-18pt; text-align:justify; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; font-weight:bold; color:#767171"><span>4= .</span></span><span style=3D"width:9pt; font:7pt 'Times New Roman'; displa= y:inline-block">      </span><span style=3D"font-f= amily:'Times New Roman'; font-weight:bold; color:#767171">Discusi=C3=B3n </= span><span style=3D"font-family:'Times New Roman'; font-weight:bold; color:= #767171"> </span></p><p style=3D"margin-bottom:0pt; text-align:justify= ; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times New R= oman'">Los resultados mostraron diferencias entre las puntuaciones obtenida= s antes y despu=C3=A9s de la implementaci=C3=B3n de la estrategia did=C3=A1= ctica mediada por GeoGebra. La puntuaci=C3=B3n media pas=C3=B3 de 5,54 (DE= =3D1,04) en el pretest a 7,80 (DE=3D0,86) en el postest, mientras que la es= timaci=C3=B3n de Hodges-Lehmann situ=C3=B3 la diferencia en 2,25 puntos, co= n un IC del 95 % [2,00, 2,50]. La prueba de rangos con signo de Wilcoxon mo= str=C3=B3 diferencias estad=C3=ADsticamente significativas entre ambas medi= ciones (</span><span style=3D"font-family:'Times New Roman'; font-style:ita= lic">W</span><span style=3D"font-family:'Times New Roman'"> =3D 0,00; </spa= n><span style=3D"font-family:'Times New Roman'; font-style:italic">p</span>= <span style=3D"font-family:'Times New Roman'"> < .001), acompa=C3=B1adas= de un tama=C3=B1o del efecto grande (</span><span style=3D"font-family:'Ti= mes New Roman'; font-style:italic">r</span><span style=3D"font-family:'Time= s New Roman'">=3D.88). Adem=C3=A1s, 27 de los 28 participantes obtuvieron p= untuaciones superiores en el postest y uno mantuvo la misma puntuaci=C3=B3n= . Estos resultados condujeron al rechazo de la hip=C3=B3tesis nula y muestr= an un desempe=C3=B1o posterior superior dentro de las condiciones en que se= desarrollaron ambas mediciones. Su interpretaci=C3=B3n requiere considerar= , sin embargo, que el pretest y el postest no fueron administrados bajo con= diciones instrumentales completamente equivalentes.</span></p><p style=3D"m= argin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><sp= an style=3D"font-family:'Times New Roman'">El patr=C3=B3n observado es comp= atible con investigaciones recientes que han identificado resultados favora= bles cuando GeoGebra se integra en estrategias de ense=C3=B1anza matem=C3= =A1tica. </span><span style=3D"font-family:'Times New Roman'; background-co= lor:#ffff00">Marion</span><span style=3D"font-family:'Times New Roman'"> et= al. (2023) mediante un dise=C3=B1o cuasiexperimental, reportaron mejoras e= n el dominio de expresiones algebraicas con una estrategia de indagaci=C3= =B3n y descubrimiento asistida por GeoGebra. En el contexto ecuatoriano, </= span><span style=3D"font-family:'Times New Roman'; background-color:#ffff00= ">Lizano</span><span style=3D"font-family:'Times New Roman'"> & Valenci= a (2024) tambi=C3=A9n informaron resultados favorables en el aprendizaje de= operaciones algebraicas b=C3=A1sicas. Aunque estos antecedentes presentan = proximidad tem=C3=A1tica con los hallazgos del presente estudio, las difere= ncias entre poblaciones, contenidos, instrumentos y dise=C3=B1os metodol=C3= =B3gicos impiden establecer equivalencias directas.</span></p><p style=3D"m= argin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><sp= an style=3D"font-family:'Times New Roman'">La correspondencia parcial con e= stos antecedentes aporta elementos para considerar el inter=C3=A9s pedag=C3= =B3gico de GeoGebra, pero no permite atribuir los cambios observados exclus= ivamente al software. </span><span style=3D"font-family:'Times New Roman'; = background-color:#ffff00">Drijvers</span><span style=3D"font-family:'Times = New Roman'"> & Sinclair (2024) plantean que el an=C3=A1lisis educativo = de las tecnolog=C3=ADas debe considerar los prop=C3=B3sitos y las pr=C3=A1c= ticas pedag=C3=B3gicas en las que estas se integran. En este estudio, GeoGe= bra form=C3=B3 parte de una estrategia que combin=C3=B3 resoluci=C3=B3n gui= ada, an=C3=A1lisis de errores, retroalimentaci=C3=B3n y mediaci=C3=B3n doce= nte. Por ello, los resultados deben interpretarse en relaci=C3=B3n con la e= xperiencia did=C3=A1ctica desarrollada en su conjunto y no como evidencia d= el efecto independiente de la herramienta tecnol=C3=B3gica.</span></p><p st= yle=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:1= 2pt"><span style=3D"font-family:'Times New Roman'">El an=C3=A1lisis por dim= ensiones mostr=C3=B3 que los cambios no fueron homog=C3=A9neos. Los increme= ntos observados en jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n procedime= ntal y correcci=C3=B3n de errores son coherentes con una intervenci=C3=B3n = orientada a hacer expl=C3=ADcita la secuencia de resoluci=C3=B3n y a utiliz= ar la representaci=C3=B3n y comprobaci=C3=B3n de procedimientos como parte = del trabajo matem=C3=A1tico. Este resultado adquiere particular relevancia = en la jerarqu=C3=ADa operacional, dado que los errores en el orden de las o= peraciones no dependen =C3=BAnicamente del conocimiento declarativo de una = regla. </span><span style=3D"font-family:'Times New Roman'; background-colo= r:#ffff00">Bye</span><span style=3D"font-family:'Times New Roman'"> et al. = (2024) en un estudio con 837 estudiantes, encontraron que los errores de pr= ecedencia estuvieron relacionados con la estructura de las expresiones y co= n procesos perceptivos implicados en el reconocimiento de expresiones equiv= alentes.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-= height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">= En este sentido, la visualizaci=C3=B3n, el contraste y la revisi=C3=B3n de = secuencias de resoluci=C3=B3n incorporados en la estrategia pudieron favore= cer una mayor atenci=C3=B3n a las relaciones entre las operaciones y no exc= lusivamente a la ejecuci=C3=B3n mec=C3=A1nica de c=C3=A1lculos. Esta interp= retaci=C3=B3n es compatible con </span><span style=3D"font-family:'Times Ne= w Roman'; background-color:#ffff00">Zhang</span><span style=3D"font-family:= 'Times New Roman'"> et al. (2025) quienes identificaron un efecto positivo = de magnitud moderada a alta de la visualizaci=C3=B3n din=C3=A1mica mediante= GeoGebra sobre el rendimiento matem=C3=A1tico, y coincide parcialmente con= los resultados de </span><span style=3D"font-family:'Times New Roman'; bac= kground-color:#ffff00">Marion</span><span style=3D"font-family:'Times New R= oman'"> et al. (2023) en expresiones algebraicas. No obstante, </span><span= style=3D"font-family:'Times New Roman'; background-color:#ffff00">Zhang</s= pan><span style=3D"font-family:'Times New Roman'"> et al. (2025) tambi=C3= =A9n encontraron heterogeneidad entre los estudios, lo que desaconseja asum= ir beneficios uniformes de la herramienta con independencia del contenido, = la poblaci=C3=B3n o las condiciones pedag=C3=B3gicas de implementaci=C3=B3n= .</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:= 115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La reso= luci=C3=B3n contextual, aunque present=C3=B3 un incremento descriptivo, per= maneci=C3=B3 como la dimensi=C3=B3n con menor puntuaci=C3=B3n en el postest= . Este comportamiento sugiere que un mejor desempe=C3=B1o en procedimientos= operacionales no necesariamente se transfiere con la misma intensidad a ta= reas que demandan interpretar situaciones, identificar relaciones matem=C3= =A1ticas y seleccionar las operaciones necesarias para resolverlas. El resu= ltado no contradice la diferencia global observada entre las mediciones, si= no que identifica un componente que requiere mayor atenci=C3=B3n did=C3=A1c= tica. Futuras implementaciones deber=C3=ADan ampliar las tareas orientadas = a la interpretaci=C3=B3n de problemas, la selecci=C3=B3n argumentada de ope= raciones y la transferencia de los procedimientos aprendidos a situaciones = diversas.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line= -height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"= >Los resultados de satisfacci=C3=B3n complementaron la informaci=C3=B3n sob= re el desempe=C3=B1o al mostrar una valoraci=C3=B3n predominantemente favor= able de la experiencia educativa. Las cinco dimensiones superaron el 75% de= acuerdo favorable, con el porcentaje m=C3=A1s elevado en motivaci=C3=B3n e= inter=C3=A9s (92,9%), seguido de facilidad de uso del recurso digital y va= loraci=C3=B3n general de la estrategia (89,3% en ambos casos). Este patr=C3= =B3n refleja una disposici=C3=B3n positiva hacia la experiencia mediada por= GeoGebra y resulta compatible con </span><span style=3D"font-family:'Times= New Roman'; background-color:#ffff00">Sekali</span><span style=3D"font-fam= ily:'Times New Roman'"> & Boentolo (2025) quienes documentaron relacion= es favorables entre el uso pedag=C3=B3gico de GeoGebra, la motivaci=C3=B3n = y los resultados de aprendizaje matem=C3=A1tico.</span></p><p style=3D"marg= in-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span = style=3D"font-family:'Times New Roman'">La satisfacci=C3=B3n, sin embargo, = no constituye una medida equivalente al aprendizaje. La dimensi=C3=B3n comp= rensi=C3=B3n del contenido present=C3=B3 el menor acuerdo favorable (77,7%)= y la mayor dispersi=C3=B3n de las respuestas (DE=3D1,52), mientras que mot= ivaci=C3=B3n e inter=C3=A9s alcanz=C3=B3 la valoraci=C3=B3n m=C3=A1s alta. = Esta diferencia muestra que una experiencia puede ser percibida como motiva= dora y favorable sin que todos los participantes manifiesten el mismo grado= de seguridad respecto de su comprensi=C3=B3n. En consecuencia, la encuesta= aporta informaci=C3=B3n sobre la experiencia percibida y complementa, pero= no sustituye, las mediciones de desempe=C3=B1o.</span></p><p style=3D"marg= in-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span = style=3D"font-family:'Times New Roman'">Las entrevistas proporcionaron una = tercera fuente para comprender la implementaci=C3=B3n. El rector, el vicerr= ector y el docente de matem=C3=A1ticas coincidieron en destacar la visualiz= aci=C3=B3n de los procedimientos, la participaci=C3=B3n de los estudiantes = y la relevancia de la mediaci=C3=B3n docente. Esta =C3=BAltima apreciaci=C3= =B3n encuentra respaldo en </span><span style=3D"font-family:'Times New Rom= an'; background-color:#ffff00">Gurmu</span><span style=3D"font-family:'Time= s New Roman'"> et al. (2024) quienes mostraron que los resultados obtenidos= con GeoGebra pueden variar seg=C3=BAn el m=C3=A9todo de ense=C3=B1anza con= el que se articula la herramienta. En el presente estudio, estas apreciaci= ones se interpretan como evidencia contextual sobre la experiencia desarrol= lada y no como una confirmaci=C3=B3n independiente de los cambios en el apr= endizaje.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line= -height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"= >La integraci=C3=B3n de las fuentes mostr=C3=B3, por tanto, un patr=C3=B3n = complementario: la prueba objetiva registr=C3=B3 un desempe=C3=B1o posterio= r superior, la encuesta evidenci=C3=B3 una valoraci=C3=B3n favorable de la = experiencia y las entrevistas aportaron elementos para comprender las condi= ciones pedag=C3=B3gicas de implementaci=C3=B3n. Esta complementariedad perm= ite relacionar los hallazgos cuantitativos y cualitativos sin asumir que la= s fuentes miden el mismo fen=C3=B3meno ni convertir su coincidencia en evid= encia causal. Los matices identificados particularmente el menor desempe=C3= =B1o en resoluci=C3=B3n contextual, la mayor variabilidad en la percepci=C3= =B3n de comprensi=C3=B3n y las condiciones tecnol=C3=B3gicas e instituciona= les se=C3=B1aladas por los informantes muestran, adem=C3=A1s, que la experi= encia no produjo resultados uniformes en todos los componentes examinados.<= /span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:11= 5%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La interp= retaci=C3=B3n de las diferencias observadas requiere considerar, en primer = lugar, la calidad de la medici=C3=B3n. La prueba objetiva present=C3=B3 coe= ficientes de consistencia interna bajos tanto en el pretest (KR-20=3D.398) = como, especialmente, en el postest (KR-20=3D.077). Este comportamiento estu= vo acompa=C3=B1ado por heterogeneidad en la dificultad de los reactivos, re= laciones =C3=ADtem-resto d=C3=A9biles o negativas y una elevada concentraci= =C3=B3n de respuestas correctas en determinados =C3=ADtems despu=C3=A9s de = la intervenci=C3=B3n. En consecuencia, aunque la comparaci=C3=B3n pretest-p= ostest mostr=C3=B3 una diferencia estad=C3=ADsticamente significativa y un = tama=C3=B1o del efecto grande, la baja consistencia interna introduce incer= tidumbre sobre la precisi=C3=B3n de las puntuaciones y exige cautela al int= erpretar la magnitud de esa diferencia.</span></p><p style=3D"margin-bottom= :0pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'">El descenso del KR-20 en el postest debe exa= minarse, adem=C3=A1s, considerando la reducci=C3=B3n de la variabilidad de = algunos reactivos. Varios =C3=ADtems alcanzaron proporciones elevadas de re= spuestas correctas, incluso del 96,4 %, lo que redujo su capacidad para dis= criminar entre estudiantes con diferentes niveles de desempe=C3=B1o. Por el= lo, el coeficiente obtenido no debe interpretarse aisladamente como evidenc= ia de ausencia de aprendizaje, sino como una limitaci=C3=B3n psicom=C3=A9tr= ica de la medici=C3=B3n en esta aplicaci=C3=B3n. Futuras investigaciones de= ber=C3=ADan revisar los reactivos con discriminaci=C3=B3n insuficiente, rea= lizar estudios piloto y examinar las propiedades psicom=C3=A9tricas de las = formas de evaluaci=C3=B3n en muestras de mayor tama=C3=B1o.</span></p><p st= yle=3D"margin-bottom:0pt; text-align:justify; line-height:115%; font-size:1= 2pt"><span style=3D"font-family:'Times New Roman'">Una segunda limitaci=C3= =B3n corresponde a la comparabilidad de las mediciones. El pretest y el pos= test fueron dise=C3=B1ados como formas paralelas con reactivos diferentes, = conservando la misma estructura de 20 =C3=ADtems, cuatro dimensiones, distr= ibuci=C3=B3n de cinco reactivos por dimensi=C3=B3n, escala de puntuaci=C3= =B3n y demanda cognitiva general. Esta correspondencia permite sostener una= equivalencia de construcci=C3=B3n y contenido; sin embargo, no se realiz= =C3=B3 un procedimiento independiente de equiparaci=C3=B3n que permitiera d= emostrar equivalencia psicom=C3=A9trica de dificultad entre ambas formas. E= n consecuencia, no puede descartarse que parte de las diferencias observada= s est=C3=A9 relacionada con variaciones en la dificultad espec=C3=ADfica de= los reactivos utilizados en cada medici=C3=B3n.</span></p><p style=3D"marg= in-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span = style=3D"font-family:'Times New Roman'">Una tercera limitaci=C3=B3n, especi= almente relevante para interpretar el cambio pretest-postest, deriva de las= condiciones de administraci=C3=B3n. El pretest se realiz=C3=B3 antes de la= intervenci=C3=B3n sin apoyo de GeoGebra, mientras que durante el postest l= os estudiantes tuvieron acceso a la herramienta. Por consiguiente, el desem= pe=C3=B1o posterior puede reflejar conjuntamente los aprendizajes desarroll= ados durante la intervenci=C3=B3n y el apoyo tecnol=C3=B3gico disponible du= rante la evaluaci=C3=B3n. El dise=C3=B1o empleado no permite separar ambos = componentes ni determinar cu=C3=A1nto del cambio registrado corresponde al = aprendizaje que los estudiantes podr=C3=ADan demostrar sin asistencia de Ge= oGebra. Esta condici=C3=B3n obliga a interpretar los resultados como difere= ncias observadas en el contexto de implementaci=C3=B3n de la estrategia y n= o como evidencia del efecto independiente de la herramienta. Estudios poste= riores deber=C3=ADan mantener condiciones instrumentales equivalentes entre= mediciones o incorporar evaluaciones diferenciadas con y sin apoyo tecnol= =C3=B3gico.</span></p><p style=3D"margin-bottom:0pt; text-align:justify; li= ne-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman= '">A estas restricciones se a=C3=B1aden las propias del dise=C3=B1o preexpe= rimental y del contexto investigado. El estudio se desarroll=C3=B3 con 28 e= studiantes de un =C3=BAnico grupo, sin asignaci=C3=B3n aleatoria ni grupo d= e comparaci=C3=B3n, por lo que no es posible descartar otras explicaciones = relacionadas con el proceso educativo desarrollado durante el periodo de in= tervenci=C3=B3n. Asimismo, el abordaje censal se circunscribi=C3=B3 a una s= ola instituci=C3=B3n y a una poblaci=C3=B3n adulta espec=C3=ADfica de educa= ci=C3=B3n general b=C3=A1sica en modalidad extraordinaria, lo que limita la= generalizaci=C3=B3n de los resultados. En consecuencia, los hallazgos apor= tan evidencia contextual sobre el desempe=C3=B1o observado despu=C3=A9s de = la intervenci=C3=B3n, pero no permiten establecer una relaci=C3=B3n causal = definitiva ni determinar la efectividad comparativa de la estrategia frente= a otras alternativas pedag=C3=B3gicas.</span></p><p style=3D"margin-bottom= :0pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'">Dentro de estas restricciones, el estudio ap= orta evidencia situada sobre la implementaci=C3=B3n de una estrategia did= =C3=A1ctica mediada por GeoGebra con estudiantes adultos de educaci=C3=B3n = general b=C3=A1sica extraordinaria. Investigaciones desarrolladas en Ecuado= r tambi=C3=A9n han reportado resultados favorables asociados al uso de GeoG= ebra en estudiantes de educaci=C3=B3n general b=C3=A1sica (</span><span sty= le=3D"font-family:'Times New Roman'; background-color:#ffff00">Macas-Macas<= /span><span style=3D"font-family:'Times New Roman'"> et al., 2024); sin emb= argo, la poblaci=C3=B3n adulta en modalidad extraordinaria presenta condici= ones formativas que no pueden asumirse equivalentes a las de estudiantes co= n trayectorias escolares regulares. </span><span style=3D"font-family:'Time= s New Roman'; background-color:#ffff00">Gal</span><span style=3D"font-famil= y:'Times New Roman'"> (2024) identific=C3=B3 una presencia reducida de estu= dios emp=C3=ADricos centrados espec=C3=ADficamente en las pr=C3=A1cticas de= educaci=C3=B3n matem=C3=A1tica y numeraci=C3=B3n con poblaci=C3=B3n adulta= , lo que otorga pertinencia al an=C3=A1lisis de experiencias desarrolladas = en este tipo de contextos.</span></p><p style=3D"margin-bottom:0pt; text-al= ign:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'= Times New Roman'">En este marco, el aporte del estudio no radica en demostr= ar la efectividad aislada de GeoGebra, sino en documentar una experiencia s= ituada que articul=C3=B3 mediaci=C3=B3n tecnol=C3=B3gica y pedag=C3=B3gica = para abordar el aprendizaje de operaciones combinadas en un contexto educat= ivo escasamente estudiado. Los resultados permiten identificar posibilidade= s pedag=C3=B3gicas, pero tambi=C3=A9n condiciones metodol=C3=B3gicas que de= ben fortalecerse en investigaciones posteriores. En particular, ser=C3=A1 n= ecesario incorporar grupos de comparaci=C3=B3n, ampliar las muestras, mante= ner condiciones equivalentes de evaluaci=C3=B3n, utilizar formas paralelas = sometidas previamente a an=C3=A1lisis psicom=C3=A9tricos y considerar medic= iones de seguimiento que permitan examinar la permanencia de los aprendizaj= es. Asimismo, resulta pertinente profundizar en c=C3=B3mo la mediaci=C3=B3n= docente, el dise=C3=B1o de las actividades y las modalidades de uso de Geo= Gebra se relacionan con el aprendizaje matem=C3=A1tico de j=C3=B3venes y ad= ultos.</span></p><p class=3D"ListParagraph" style=3D"margin-top:12pt; text-= indent:-18pt; text-align:justify; line-height:115%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171"><sp= an>5.</span></span><span style=3D"width:9pt; font:7pt 'Times New Roman'; di= splay:inline-block">      </span><span style=3D"fo= nt-family:'Times New Roman'; font-weight:bold; color:#767171">Conclusiones<= /span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:11= 5%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La compar= aci=C3=B3n de las mediciones realizadas antes y despu=C3=A9s de la implemen= taci=C3=B3n de la estrategia did=C3=A1ctica mediada por GeoGebra mostr=C3= =B3 un patr=C3=B3n favorable en el desempe=C3=B1o observado de los estudian= tes en operaciones combinadas. Las puntuaciones del postest fueron superior= es a las del pretest en 27 de los 28 participantes, con una diferencia esta= d=C3=ADsticamente significativa y una magnitud grande, lo que condujo al re= chazo de la hip=C3=B3tesis nula de ausencia de diferencias entre ambas medi= ciones. Estos hallazgos aportan evidencia sobre las diferencias registradas= en el grupo despu=C3=A9s de la intervenci=C3=B3n y permiten considerar el = potencial pedag=C3=B3gico de la estrategia en el contexto estudiado. Sin em= bargo, el dise=C3=B1o preexperimental empleado no permite atribuir causalme= nte dichas diferencias a GeoGebra ni separar el aprendizaje desarrollado du= rante la intervenci=C3=B3n del posible apoyo proporcionado por la herramien= ta durante la medici=C3=B3n posterior.</span></p><p style=3D"margin-bottom:= 0pt; text-align:justify; line-height:115%; font-size:12pt"><span style=3D"f= ont-family:'Times New Roman'">El an=C3=A1lisis por dimensiones mostr=C3=B3 = incrementos descriptivos en jerarqu=C3=ADa de operaciones, aplicaci=C3=B3n = procedimental, correcci=C3=B3n de errores y resoluci=C3=B3n contextual, aun= que esta =C3=BAltima permaneci=C3=B3 como el componente de menor desempe=C3= =B1o en el postest. Este patr=C3=B3n sugiere que las diferencias favorables= observadas en los procedimientos operacionales no se manifestaron con la m= isma intensidad en tareas que requer=C3=ADan interpretar situaciones y sele= ccionar las operaciones pertinentes. El fortalecimiento de la resoluci=C3= =B3n contextual constituye, por tanto, un componente prioritario para futur= as aplicaciones de la propuesta, mediante actividades que profundicen en la= interpretaci=C3=B3n, la toma de decisiones y la transferencia de procedimi= entos matem=C3=A1ticos a situaciones diversas.</span></p><p style=3D"margin= -bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><span st= yle=3D"font-family:'Times New Roman'">La valoraci=C3=B3n de los estudiantes= y las percepciones recogidas mediante las entrevistas complementaron los r= esultados de desempe=C3=B1o al aportar informaci=C3=B3n sobre la experienci= a y las condiciones de implementaci=C3=B3n. La motivaci=C3=B3n, la visualiz= aci=C3=B3n de los procedimientos, la interacci=C3=B3n con el recurso y la m= ediaci=C3=B3n docente fueron valoradas favorablemente, mientras que tambi= =C3=A9n se identificaron necesidades relacionadas con el tiempo, la interac= ci=C3=B3n directa con GeoGebra, los distintos ritmos de aprendizaje y las c= ondiciones tecnol=C3=B3gicas e institucionales. Estas evidencias perceptiva= s se interpretan como complementarias y no como mediciones adicionales de e= fectividad o aprendizaje.</span></p><p style=3D"margin-bottom:0pt; text-ali= gn:justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'T= imes New Roman'">El alcance de los hallazgos est=C3=A1 condicionado por el = dise=C3=B1o preexperimental de un solo grupo, el n=C3=BAmero de participant= es, la ausencia de un grupo de comparaci=C3=B3n, la baja consistencia inter= na de la prueba objetiva, la falta de equiparaci=C3=B3n psicom=C3=A9trica i= ndependiente entre las formas de pretest y postest y las diferentes condici= ones de administraci=C3=B3n de ambas mediciones. En consecuencia, los resul= tados deben circunscribirse al grupo y al contexto investigados. Futuras in= vestigaciones deber=C3=ADan incorporar dise=C3=B1os con grupos de comparaci= =C3=B3n, muestras m=C3=A1s amplias, instrumentos con propiedades psicom=C3= =A9tricas fortalecidas, condiciones equivalentes de evaluaci=C3=B3n y medic= iones de seguimiento que permitan examinar la permanencia de los aprendizaj= es. Tambi=C3=A9n ser=C3=A1 pertinente analizar con mayor profundidad c=C3= =B3mo la mediaci=C3=B3n docente y las distintas modalidades de interacci=C3= =B3n con GeoGebra se relacionan con el aprendizaje matem=C3=A1tico de j=C3= =B3venes y adultos en contextos de educaci=C3=B3n extraordinaria.</span></p= ><p class=3D"ListParagraph" style=3D"margin-top:12pt; margin-bottom:0pt; te= xt-indent:-18pt; text-align:justify; line-height:115%; font-size:12pt"><spa= n style=3D"font-family:'Times New Roman'"><span style=3D"font-weight:bold; = color:#767171">6.</span></span><span style=3D"width:9pt; font:7pt 'Times Ne= w Roman'; display:inline-block">      </span><span= style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171">C= onflicto de intereses</span></p><p style=3D"margin-bottom:0pt; text-align:j= ustify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times= New Roman'">Los autores declaran que no existe conflicto de intereses en r= elaci=C3=B3n con el art=C3=ADculo presentado.</span></p><p class=3D"ListPar= agraph" style=3D"margin-top:12pt; margin-bottom:0pt; text-indent:-18pt; lin= e-height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'= ; font-weight:bold; color:#767171"><span>7.</span></span><span style=3D"wid= th:9pt; font:7pt 'Times New Roman'; display:inline-block">   = ;   </span><span style=3D"font-family:'Times New Roman'; font-wei= ght:bold; color:#767171">Derechos de autor (copyrigth)</span></p><p style= =3D"margin-bottom:0pt; line-height:115%; font-size:12pt"><span style=3D"fon= t-family:'Times New Roman'">Los autores son los titulares de los derechos d= e autor</span><span style=3D"font-family:'Times New Roman'; font-weight:bol= d"> </span><span style=3D"font-family:'Times New Roman'">(patrimoniales y/o= de explotaci=C3=B3n) de los contenidos de la revista (</span><span style= =3D"font-family:'Times New Roman'; font-style:italic">copyright</span><span= style=3D"font-family:'Times New Roman'">).</span></p><p class=3D"ListParag= raph" style=3D"margin-top:12pt; margin-bottom:0pt; text-indent:-18pt; text-= align:justify; line-height:115%; font-size:12pt"><span style=3D"font-family= :'Times New Roman'; font-weight:bold; color:#767171"><span>8.</span></span>= <span style=3D"width:9pt; font:7pt 'Times New Roman'; display:inline-block"= >      </span><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold; color:#767171">Declaraci=C3=B3n de contribuci= =C3=B3n de los autores</span></p><p style=3D"margin-bottom:0pt; text-align:= justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'">Los autores declaran haber participado de manera equitativa y= sustancial en la realizaci=C3=B3n de esta investigaci=C3=B3n, bajo las res= ponsabilidades seg=C3=BAn la </span><a href=3D"https://credit.niso.org/" st= yle=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"font-family= :'Times New Roman'">Taxonom=C3=ADa CRediT</span></a><span style=3D"font-fam= ily:'Times New Roman'"> para describir las contribuciones individuales de c= ada autor al trabajo. </span></p><p class=3D"NormalWeb" style=3D"margin-top= :0pt; margin-bottom:0pt; text-align:justify; line-height:115%"><span>Jeniff= er Francisca Moreira Zambrano & Johanna Cecibel Murillo Pico, realizaro= n la conceptualizaci=C3=B3n de la investigaci=C3=B3n, organizaci=C3=B3n y e= jecuci=C3=B3n del ensayo, recopilaci=C3=B3n y curaci=C3=B3n de los datos, r= evisi=C3=B3n del an=C3=A1lisis estad=C3=ADstico, interpretaci=C3=B3n de los= resultados, elaboraci=C3=B3n del borrador original, preparaci=C3=B3n de ta= blas y figuras, revisi=C3=B3n cr=C3=ADtica del contenido y aprobaci=C3=B3n = de la versi=C3=B3n final del manuscrito.</span></p><p class=3D"Default" sty= le=3D"text-align:justify; line-height:115%"><span>Efra=C3=ADn Velastegu=C3= =AD L=C3=B3pez & Giceya Maqueira Caraballo, realizaron la supervisi=C3= =B3n acad=C3=A9mica y metodol=C3=B3gica de la investigaci=C3=B3n, brind=C3= =B3 orientaci=C3=B3n durante el desarrollo del ensayo, revis=C3=B3 el an=C3= =A1lisis y la interpretaci=C3=B3n de los resultados, efectu=C3=B3 la revisi= =C3=B3n cr=C3=ADtica del manuscrito, realizaron la correcci=C3=B3n cient=C3= =ADfica y acad=C3=A9mica y aprobaci=C3=B3n de la versi=C3=B3n final para su= publicaci=C3=B3n.</span></p><p style=3D"margin-bottom:0pt; text-align:just= ify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'; font-style:italic">Divulgaci=C3=B3n de la delegaci=C3=B3n a la IA= generativa</span></p><p class=3D"NormalWeb" style=3D"margin-top:0pt; margi= n-bottom:0pt; text-align:justify; line-height:115%"><span>Los autores decla= ran el uso de ChatGPT (OpenAI) como herramienta de apoyo durante la elabora= ci=C3=B3n y revisi=C3=B3n del manuscrito, principalmente para la organizaci= =C3=B3n de ideas, mejora de la redacci=C3=B3n y estructuraci=C3=B3n del con= tenido.</span></p><p class=3D"NormalWeb" style=3D"margin-top:0pt; margin-bo= ttom:0pt; text-align:justify; line-height:115%"><span>Las decisiones te=C3= =B3ricas, metodol=C3=B3gicas, anal=C3=ADticas y la interpretaci=C3=B3n de l= os resultados fueron responsabilidad de los autores. Las fuentes, citas y r= eferencias incorporadas en el art=C3=ADculo fueron revisadas antes de su in= clusi=C3=B3n en la versi=C3=B3n final.</span></p><p class=3D"NormalWeb" sty= le=3D"margin-top:0pt; margin-bottom:0pt; text-align:justify; line-height:11= 5%"><span>Los autores asumen =C3=ADntegramente la responsabilidad por el co= ntenido del manuscrito.</span></p><p class=3D"NormalWeb" style=3D"margin-to= p:0pt; margin-bottom:0pt; text-align:justify; line-height:115%"><span>Herra= mienta utilizada: ChatGPT (OpenAI).</span></p><p class=3D"NormalWeb" style= =3D"margin-top:0pt; margin-bottom:0pt; text-align:justify; line-height:115%= "><span>Declaraci=C3=B3n presentada por: Jeniffer Francisca Moreira Zambran= o & Johanna Cecibel Murillo Pico.</span></p><p class=3D"ListParagraph" = style=3D"margin-top:12pt; margin-bottom:0pt; text-indent:-18pt; text-align:= justify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'; font-weight:bold"><span style=3D"color:#767171">9.</span></sp= an><span style=3D"width:9pt; font:7pt 'Times New Roman'; display:inline-blo= ck">      </span><span style=3D"font-family:'Times= New Roman'; font-weight:bold; color:#767171">Costos de financiamiento</spa= n><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </span><= /p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'">La presente inve= stigaci=C3=B3n fue financiada en su totalidad con fondos propios de los aut= ores.</span></p><p class=3D"ListParagraph" style=3D"margin-top:12pt; margin= -bottom:0pt; text-indent:-18pt; text-align:justify; line-height:115%; font-= size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold; = color:#767171"><span>10.</span></span><span style=3D"width:3pt; font:7pt 'T= imes New Roman'; display:inline-block">  </span><span style=3D"font-fa= mily:'Times New Roman'; font-weight:bold; color:#767171">Referencias Biblio= gr=C3=A1ficas</span></p><p style=3D"margin-left:18pt; margin-bottom:0pt; te= xt-indent:-18pt; line-height:115%; font-size:12pt"><span style=3D"font-fami= ly:'Times New Roman'; background-color:#ffff00">Bakker</span><span style=3D= "font-family:'Times New Roman'">, A., Cai, J., & Zenger, L. (2021). Fut= ure themes of mathematics education research: An international survey befor= e and during the pandemic. </span><span style=3D"font-family:'Times New Rom= an'; font-style:italic">Educational Studies in Mathematics, 107</span><span= style=3D"font-family:'Times New Roman'">(1), 1=E2=80=9324. </span><a href= =3D"https://doi.org/10.1007/s10649-021-10049-w" target=3D"_new" style=3D"te= xt-decoration:none"><span class=3D"Hyperlink" style=3D"font-family:'Times N= ew Roman'">https://doi.org/10.1007/s10649-021-10049-w</span></a></p><p styl= e=3D"margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-height:11= 5%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; backgroun= d-color:#ffff00">Bye</span><span style=3D"font-family:'Times New Roman'">, = J. K., Chan, J. Y.-C., Closser, A. H., Lee, J.-E., Shaw, S. T., & Ottma= r, E. R. (2024). Perceiving precedence: Order of operations errors are pred= icted by perception of equivalent expressions. </span><span style=3D"font-f= amily:'Times New Roman'; font-style:italic">Journal of Numerical Cognition,= 10</span><span style=3D"font-family:'Times New Roman'">, e14103. </span><a= href=3D"https://doi.org/10.5964/jnc.14103" style=3D"text-decoration:none">= <span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://d= oi.org/10.5964/jnc.14103</span></a><span class=3D"Hyperlink" style=3D"font-= family:'Times New Roman'"> </span></p><p style=3D"margin-left:18pt; margin-= bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'; background-color:#ffff00">Chavarr=C3=AD= a-Arroyo</span><span style=3D"font-family:'Times New Roman'">, G., & Al= banese, V. (2023). Contextualized mathematical problems: Perspective of tea= chers about problem posing. </span><span style=3D"font-family:'Times New Ro= man'; font-style:italic">Education Sciences, 13</span><span style=3D"font-f= amily:'Times New Roman'">(1), 6. </span><a href=3D"https://doi.org/10.3390/= educsci13010006" target=3D"_new" style=3D"text-decoration:none"><span class= =3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://doi.org/10.3= 390/educsci13010006</span></a><span class=3D"Hyperlink" style=3D"font-famil= y:'Times New Roman'"> </span></p><p style=3D"margin-left:18pt; margin-botto= m:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'; background-color:#ffff00">Drijvers</span><sp= an style=3D"font-family:'Times New Roman'">, P., & Sinclair, N. (2024).= The role of digital technologies in mathematics education: Purposes and pe= rspectives. </span><span style=3D"font-family:'Times New Roman'; font-style= :italic">ZDM: The International Journal on Mathematics Education, 56</span>= <span style=3D"font-family:'Times New Roman'">(2), 239=E2=80=93248. </span>= <a href=3D"https://doi.org/10.1007/s11858-023-01535-x" target=3D"_new" styl= e=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"font-family:'= Times New Roman'">https://doi.org/10.1007/s11858-023-01535-x</span></a><spa= n class=3D"Hyperlink" style=3D"font-family:'Times New Roman'"> </span></p><= p style=3D"margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-hei= ght:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; bac= kground-color:#ffff00">Gal</span><span style=3D"font-family:'Times New Roma= n'">, I. (2024). Adult education in mathematics and numeracy: A scoping rev= iew of recent research. </span><span style=3D"font-family:'Times New Roman'= ; font-style:italic">ZDM: The International Journal on Mathematics Educatio= n, 56</span><span style=3D"font-family:'Times New Roman'">(2), 293=E2=80=93= 305. </span><a href=3D"https://doi.org/10.1007/s11858-024-01549-z?utm_sourc= e=3Dchatgpt.com" target=3D"_new" style=3D"text-decoration:none"><span class= =3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://doi.org/10.1= 007/s11858-024-01549-z</span></a><span class=3D"Hyperlink" style=3D"font-fa= mily:'Times New Roman'"> </span></p><p style=3D"margin-left:18pt; margin-bo= ttom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; background-color:#ffff00">Goos</span><sp= an style=3D"font-family:'Times New Roman'">, M., Prendergast, M., O=E2=80= =99Meara, N., & O=E2=80=99Sullivan, K. (2023). Supporting adults to bec= ome numerate citizens: A study of adult numeracy provision in Ireland. </sp= an><span style=3D"font-family:'Times New Roman'; font-style:italic">ZDM: Th= e International Journal on Mathematics Education, 55</span><span style=3D"f= ont-family:'Times New Roman'">(5), 995=E2=80=931008. </span><a href=3D"http= s://doi.org/10.1007/s11858-023-01480-9" target=3D"_new" style=3D"text-decor= ation:none"><span class=3D"Hyperlink" style=3D"font-family:'Times New Roman= '">https://doi.org/10.1007/s11858-023-01480-9</span></a><span class=3D"Hype= rlink" style=3D"font-family:'Times New Roman'"> </span></p><p style=3D"marg= in-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-height:115%; font-= size:12pt"><span style=3D"font-family:'Times New Roman'; background-color:#= ffff00">Gurmu, F., Tuge, C., &</span><span style=3D"font-family:'Times = New Roman'"> Hunde, A. B. (2024). Effects of GeoGebra-assisted instructiona= l methods on students=E2=80=99 conceptual understanding of geometry. </span= ><span style=3D"font-family:'Times New Roman'; font-style:italic">Cogent Ed= ucation, 11</span><span style=3D"font-family:'Times New Roman'">(1), 237974= 5. </span><a href=3D"https://doi.org/10.1080/2331186X.2024.2379745" target= =3D"_new" style=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D= "font-family:'Times New Roman'">https://doi.org/10.1080/2331186X.2024.23797= 45</span></a><span class=3D"Hyperlink" style=3D"font-family:'Times New Roma= n'"> </span></p><p style=3D"margin-left:18pt; margin-bottom:0pt; text-inden= t:-18pt; line-height:115%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'; background-color:#ffff00">Lizano</span><span style=3D"font-fa= mily:'Times New Roman'"> Villarreal, L. A., & Valencia Nu=C3=B1ez, E. R= . (2024). Efectividad del software educativo GeoGebra en el aprendizaje de = operaciones algebraicas b=C3=A1sicas. </span><span style=3D"font-family:'Ti= mes New Roman'; font-style:italic">Revista Social Fronteriza, 4</span><span= style=3D"font-family:'Times New Roman'">(6), e46550. </span><a href=3D"htt= ps://doi.org/10.59814/resofro.2024.4(6)550" style=3D"text-decoration:none">= <span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://d= oi.org/10.59814/resofro.2024.4(6)550</span></a></p><p style=3D"margin-left:= 18pt; margin-bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12p= t"><span style=3D"font-family:'Times New Roman'; background-color:#ffff00">= Macas-Macas</span><span style=3D"font-family:'Times New Roman'">, A. del R.= , P=C3=A9rez-Ben=C3=ADtez, H. A., & Ram=C3=ADrez-Belisario, L. C. (2024= ). Influencia de GeoGebra en el aprendizaje matem=C3=A1tico. Caso: Unidad E= ducativa El Tambo. </span><span style=3D"font-family:'Times New Roman'; fon= t-style:italic">MQRInvestigar, 8</span><span style=3D"font-family:'Times Ne= w Roman'">(4), 6757=E2=80=936780. </span><a href=3D"https://doi.org/10.5604= 8/MQR20225.8.4.2024.6757-6780" style=3D"text-decoration:none"><span class= =3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://doi.org/10.5= 6048/MQR20225.8.4.2024.6757-6780</span></a><span class=3D"Hyperlink" style= =3D"font-family:'Times New Roman'"> </span></p><p style=3D"margin-left:18pt= ; margin-bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; background-color:#ffff00">Mari= on</span><span style=3D"font-family:'Times New Roman'">, Z., Abdullah, A. H= ., & Abd Rahman, S. N. S. (2023). The effectiveness of the GeoGebra-ass= isted inquiry-discovery learning strategy on students=E2=80=99 mastery and = interest in algebraic expressions. </span><span style=3D"font-family:'Times= New Roman'; font-style:italic">International Journal of Information and Ed= ucation Technology, 13</span><span style=3D"font-family:'Times New Roman'">= (11), 1681=E2=80=931695. </span><a href=3D"https://doi.org/10.18178/ijiet.2= 023.13.11.1977" style=3D"text-decoration:none"><span class=3D"Hyperlink" st= yle=3D"font-family:'Times New Roman'">https://doi.org/10.18178/ijiet.2023.1= 3.11.1977</span></a><span class=3D"Hyperlink" style=3D"font-family:'Times N= ew Roman'"> </span></p><p style=3D"margin-left:18pt; margin-bottom:0pt; tex= t-indent:-18pt; line-height:115%; font-size:12pt"><span style=3D"font-famil= y:'Times New Roman'; background-color:#ffff00">McCulloch</span><span style= =3D"font-family:'Times New Roman'">, A. W., Dick, L. K., & Lovett, J. N= . (2023). A framework to support teacher noticing of students=E2=80=99 math= ematical thinking in technology-mediated environments. </span><span style= =3D"font-family:'Times New Roman'; font-style:italic">School Science and Ma= thematics, 123</span><span style=3D"font-family:'Times New Roman'">(7), 348= =E2=80=93361. </span><a href=3D"https://doi.org/10.1111/ssm.12601" style=3D= "text-decoration:none"><span class=3D"Hyperlink" style=3D"font-family:'Time= s New Roman'">https://doi.org/10.1111/ssm.12601</span></a><span class=3D"Hy= perlink" style=3D"font-family:'Times New Roman'"> </span></p><p style=3D"ma= rgin-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'; background-color= :#ffff00">Ministerio de Educaci=C3=B3n del Ecuador</span><span style=3D"fon= t-family:'Times New Roman'">. (2016). </span><span style=3D"font-family:'Ti= mes New Roman'; font-style:italic">Curr=C3=ADculo de los niveles de educaci= =C3=B3n obligatoria: matem=C3=A1tica en el subnivel superior de educaci=C3= =B3n general b=C3=A1sica</span><span style=3D"font-family:'Times New Roman'= ">. </span><a href=3D"https://educacion.gob.ec/wp-content/uploads/downloads= /2016/03/Educacion-General-Basica-Superior4.pdf?utm_source=3Dchatgpt.com" s= tyle=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"font-famil= y:'Times New Roman'">https://educacion.gob.ec/wp-content/uploads/downloads/= 2016/03/Educacion-General-Basica-Superior4.pdf?utm_source=3Dchatgpt.com</sp= an></a><span style=3D"font-family:'Times New Roman'"> </span></p><p style= =3D"margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-height:115= %; font-size:12pt"><span style=3D"font-family:'Times New Roman'; background= -color:#ffff00">Padilla-Escorcia</span><span style=3D"font-family:'Times Ne= w Roman'">, I. A., Garc=C3=ADa-Rodr=C3=ADguez, M. L., & Aguilar-Gonz=C3= =A1lez, =C3=81. (2025). Mathematics teachers=E2=80=99 knowledge in the use = of digital technologies for teaching: Insights from the TPCSK instrument. <= /span><span style=3D"font-family:'Times New Roman'; font-style:italic">Inte= rnational Electronic Journal of Mathematics Education, 20</span><span style= =3D"font-family:'Times New Roman'">(4), em0851. </span><a href=3D"https://d= oi.org/10.29333/iejme/16836" target=3D"_new" style=3D"text-decoration:none"= ><span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://= doi.org/10.29333/iejme/16836</span></a></p><p style=3D"margin-left:18pt; ma= rgin-bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'; background-color:#ffff00">Pereira<= /span><span style=3D"font-family:'Times New Roman'"> Leite, E. A., & Po= ntin Darsie, M. M. (2021). Soluci=C3=B3n de problemas matem=C3=A1ticos y es= pecificidades de la educaci=C3=B3n de j=C3=B3venes y adultos. </span><span = style=3D"font-family:'Times New Roman'; font-style:italic">REAMEC =E2=80=93= Rede Amaz=C3=B4nica de Educa=C3=A7=C3=A3o em Ci=C3=AAncias e Matem=C3=A1ti= ca, 9</span><span style=3D"font-family:'Times New Roman'">(2), e21065. </sp= an><a href=3D"https://doi.org/10.26571/reamec.v9i2.12814" style=3D"text-dec= oration:none"><span class=3D"Hyperlink" style=3D"font-family:'Times New Rom= an'">https://doi.org/10.26571/reamec.v9i2.12814</span></a><span class=3D"Hy= perlink" style=3D"font-family:'Times New Roman'"> </span></p><p style=3D"ma= rgin-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'; background-color= :#ffff00">Schoenherr</span><span style=3D"font-family:'Times New Roman'">, = J., Strohmaier, A. R., & Schukajlow, S. (2024). Learning with visualiza= tions helps: A meta-analysis of visualization interventions in mathematics = education. </span><span style=3D"font-family:'Times New Roman'; font-style:= italic">Educational Research Review, 45</span><span style=3D"font-family:'T= imes New Roman'">, 100639. </span><a href=3D"https://doi.org/10.1016/j.edur= ev.2024.100639" target=3D"_new" style=3D"text-decoration:none"><span class= =3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://doi.org/10.1= 016/j.edurev.2024.100639</span></a><span class=3D"Hyperlink" style=3D"font-= family:'Times New Roman'"> </span></p><p style=3D"margin-left:18pt; margin-= bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'; background-color:#ffff00">Sekali</span>= <span style=3D"font-family:'Times New Roman'">, E. C. B. K., & Boentolo= , F. (2025). Effect</span><span style=3D"font-family:'Times New Roman'; fon= t-weight:bold"> </span><span style=3D"font-family:'Times New Roman'">of geo= gebra media use on mathematical learning outcomes build space / Pengaruh pe= nggunaan media geogebra terhadap hasil belajar matematika bangun ruang. </s= pan><span style=3D"font-family:'Times New Roman'; font-style:italic">Alethe= ia Christian Educators Journal</span><span style=3D"font-family:'Times New = Roman'">, 6(1), 37=E2=80=9346. </span><a href=3D"https://doi.org/10.9744/al= etheia.6.1.37-46" style=3D"text-decoration:none"><span class=3D"Hyperlink" = style=3D"font-family:'Times New Roman'">https://doi.org/10.9744/aletheia.6.= 1.37-46</span></a></p><p style=3D"margin-left:18pt; margin-bottom:0pt; text= -indent:-18pt; line-height:115%; font-size:12pt"><span style=3D"font-family= :'Times New Roman'; background-color:#ffff00">Zhang</span><span style=3D"fo= nt-family:'Times New Roman'">, Y., Wang, P., Jia, W., Zhang, A., & Chen= , G. (2025). Dynamic visualization by GeoGebra for mathematics learning: a = meta-analysis of 20 years of research. </span><span style=3D"font-family:'T= imes New Roman'; font-style:italic">Journal of Research on Technology in Ed= ucation, 57</span><span style=3D"font-family:'Times New Roman'">(2), 437=E2= =80=93458. </span><a href=3D"https://doi.org/10.1080/15391523.2023.2250886"= target=3D"_new" style=3D"text-decoration:none"><span class=3D"Hyperlink" s= tyle=3D"font-family:'Times New Roman'">https://doi.org/10.1080/15391523.202= 3.2250886</span></a><span class=3D"Hyperlink" style=3D"font-family:'Times N= ew Roman'"> </span></p><p style=3D"margin-left:18pt; margin-bottom:0pt; tex= t-indent:-18pt; line-height:115%; font-size:12pt"><span class=3D"Hyperlink"= style=3D"font-family:'Times New Roman'; text-decoration:none"> </span= ></p><p style=3D"margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; li= ne-height:115%; font-size:12pt"><span class=3D"Hyperlink" style=3D"font-fam= ily:'Times New Roman'; text-decoration:none"> </span></p><p style=3D"m= argin-left:18pt; margin-bottom:0pt; text-indent:-18pt; line-height:115%; fo= nt-size:12pt"><span class=3D"Hyperlink" style=3D"font-family:'Times New Rom= an'; text-decoration:none"> </span></p><p style=3D"margin-left:18pt; m= argin-bottom:0pt; text-indent:-18pt; line-height:115%; font-size:12pt"><spa= n style=3D"font-family:'Times New Roman'"> </span></p><p class=3D"List= Paragraph" style=3D"margin-bottom:0pt; line-height:115%; font-size:12pt"><s= pan style=3D"font-family:'Times New Roman'; font-weight:bold"> </span>= </p><div style=3D"clear:both"><p style=3D"margin-bottom:0pt; line-height:no= rmal; font-size:12pt"><span style=3D"height:0pt; display:block; position:ab= solute; z-index:-65536"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANS= UhEUgAAAuQAAAABCAYAAACWsrt9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsO= GwAAABxJREFUSIntwTEBAAAIwKDZP7TG8AGm2gAAgA9zmTsBAl+AgmQAAAAASUVORK5CYII=3D"= width=3D"740" height=3D"1" alt=3D"" style=3D"margin-top:-37.82pt; margin-l= eft:-63.3pt; position:absolute" /></span><span style=3D"letter-spacing:3pt;= color:#ffffff">          = ;       </span><span style=3D"letter-spacing:= 3pt; color:#ffffff">Nombre</span><span style=3D"width:141.26pt; letter-spac= ing:3pt; display:inline-block"> </span><span style=3D"width:63.4pt; le= tter-spacing:3pt; display:inline-block"> </span><span style=3D"width:2= 7.7pt; letter-spacing:3pt; display:inline-block"> </span><span style= =3D"width:35.4pt; letter-spacing:3pt; display:inline-block"> </span><s= pan style=3D"letter-spacing:3pt; color:#ffffff"> </span><span style=3D"widt= h:32.69pt; letter-spacing:3pt; display:inline-block"> </span><span sty= le=3D"color:#ffffff"> </span><span style=3D"color:#ffffff; background-color= :#ffff00">1</span></p><p class=3D"Footer"><span> </span></p></div></di= v></body></html>