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      <title>AGT: chapter 1 Mkons P9 by MICHAELA KONS</title>
      <link>https://padlet.com/mkons/4cpmfcy1p6i7</link>
      <description>Portfolio of my chapter 1 learning targets with evidence of my learning</description>
      <language>en-us</language>
      <pubDate>2017-08-28 19:36:12 UTC</pubDate>
      <lastBuildDate>2025-12-23 09:01:30 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
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      <item>
         <title>LT1 I can recognize points, lines, line segments, rays angles, and triangles. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183812640</link>
         <description><![CDATA[<div>I can recognize and differentiate points, lines, segments, rays angles, and triangles. This helps me understand the parts of angles. These are easily confused with each other, but if learned and understood, you can differentiate them.  <figure class="attachment attachment-preview"><img src="https://www.mathworksheets4kids.com/line-ray-segment/chart-large.png" width="407" height="567"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 20:46:56 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183812640</guid>
      </item>
      <item>
         <title>LT5 I can recognize congruent angles and segments</title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183814412</link>
         <description><![CDATA[<div>I can distinguish if an angle or segment is congruent or not. Angles that are congruent have the same measures. This is important when measuring and identifying angles and segments. Angles and segments are proven congruent by proofs.&nbsp;<figure class="attachment attachment-preview" 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src="data:image/png;base64,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" width="301" height="167"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 21:00:23 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183814412</guid>
      </item>
      <item>
         <title>LT6 I can recognize collinear and noncollinear points. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183815901</link>
         <description><![CDATA[<div>I can figure out if a point is collinear or noncollinear. Only points on lines can be collinear, not angles. You can find a chart differentiating collinear and noncollinear on the fourth page of the notes packet. </div>]]></description>
         <enclosure url="https://www.youtube.com/watch?v=TliCrxUhpCg" />
         <pubDate>2017-08-30 21:11:18 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183815901</guid>
      </item>
      <item>
         <title>LT8 I can recognize that each side of a triangle is shorter than the sum of the other two sides. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183817073</link>
         <description><![CDATA[<div>When finding the measures of the sides of a triangle, the sum of two sides has to be larger than the other side. This means when finding the third measure, there are both high and low restrictions. </div>]]></description>
         <enclosure url="https://www.brightstorm.com/math/geometry/triangles/triangle-side-inequalities/" />
         <pubDate>2017-08-30 21:18:36 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183817073</guid>
      </item>
      <item>
         <title>LT10 I can write a simple 2 column proof.</title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183818414</link>
         <description><![CDATA[<div>I can write a simple 2 column proof to prove if angles are congruent. You can't assume measures from a diagram, you have to prove that statements are true by writing out a proof.<figure class="attachment attachment-preview" data-trix-attachment="{&quot;contentType&quot;:&quot;image&quot;,&quot;height&quot;:245,&quot;url&quot;:&quot;http://study.com/cimages/multimages/16/two_column_proof_3.png&quot;,&quot;width&quot;:382}" data-trix-content-type="image"><img src="http://study.com/cimages/multimages/16/two_column_proof_3.png" width="382" height="245"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 21:27:27 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183818414</guid>
      </item>
      <item>
         <title>LT11 I can identify bisectors and trisectors of segments and angles. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183819619</link>
         <description><![CDATA[<div>I can identify bisectors and trisectors in segments and angles. I know that the bisectors and trisectors cut a line at its midpoint and trisection point to divide the measure into congruent segments or angles.<figure class="attachment attachment-preview" data-trix-attachment="{&quot;contentType&quot;:&quot;image&quot;,&quot;height&quot;:150,&quot;url&quot;:&quot;http://img.sparknotes.com/figures/C/cdafbce3d7fbcda5507c818a9e198ec0/angledivide.gif&quot;,&quot;width&quot;:360}" data-trix-content-type="image"><img src="http://img.sparknotes.com/figures/C/cdafbce3d7fbcda5507c818a9e198ec0/angledivide.gif" width="360" height="150"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 21:35:39 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183819619</guid>
      </item>
      <item>
         <title>LT12 I can write a simple paragraph proof. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183820990</link>
         <description><![CDATA[<div>I can write a proof in paragraph form instead of column form. By writing a proof in paragraph form I am able to use terms from the chapter along with algebra to prove theorems. </div>]]></description>
         <enclosure url="https://www.youtube.com/watch?v=COY0pjVfzVM" />
         <pubDate>2017-08-30 21:45:02 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183820990</guid>
      </item>
      <item>
         <title>LT13-15 I can recognize that geometry is based upon deductive structure. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183822276</link>
         <description><![CDATA[<div>I know now that deductive structure includes 4 key elements (undefined terms, definitions, postulates, and theorems). Without them I couldn't write proofs(or discover new connections).<figure class="attachment attachment-preview" data-trix-attachment="{&quot;contentType&quot;:&quot;image&quot;,&quot;height&quot;:168,&quot;url&quot;:&quot;https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcROi0uiQCuFQp5DN9wPu6bIvZw8Dz3IYPl3zesvywlxHT8Fdr6Y0A&quot;,&quot;width&quot;:300}" data-trix-content-type="image"><img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcROi0uiQCuFQp5DN9wPu6bIvZw8Dz3IYPl3zesvywlxHT8Fdr6Y0A" width="300" height="168"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 21:56:17 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183822276</guid>
      </item>
      <item>
         <title>LT17 I can use the chain rule to draw conclusions. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183822944</link>
         <description><![CDATA[<div>I know that is given a chain of events, you can put them into a story and draw a conclusion. If given all the information, you only need the beginning and the conclusion to create an if then statement. <figure class="attachment attachment-preview"><img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT5SLIRxablNPa7nL2XJaq54wrPJJkzfj5u93Jnm-LttYguIDUK" width="259" height="194"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 22:02:50 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183822944</guid>
      </item>
      <item>
         <title>LT18 I can solve probability problems. </title>
         <author>mkons</author>
         <link>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183824570</link>
         <description><![CDATA[<div>I know that id you have the number of winners, put that over the number of total possibilities, then you can figure out the probability of something.<figure class="attachment attachment-preview" 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VVhzLedfU86wLrsMTuNMR/ncWchHaM+ILKD6nvpcD97rSwzPyI8OytjwC7YlZV6fJ45JvZdQ47x0GorJlqT3JEe8ezkJGHwU0xGl7rlJ6aRFnHXUp/KsOSW4VNvYk7Gkd3nlbDjDiRlIQG4uEVSdVU6hVvdRr31X4qUZNWZbYKEoppotK5DuFAQNuxkwvbpZvcdfyvUlN2kRVleByE2yY5mDXKtoLrbXuvf41c4XHVaCyx2fkypq0Yy9rzO/we45UAxzDKQNHW5HtHP8AKueVBN3R1UuKzjHLJXPO8bx4CAoAXlZlYNyJbUG/Oyhc1h4+2u3BYXm1OWnYr8TiJVXnkUL7/nJYKc3ja1/fVquB1r6yVjk5qLzZexIJcN8tzyFpFzFWZSoe9iBZQSMwIHhaqPFYZUqkovyLKjjauVU1sUe0YbyIvew+Ov5VwydkdEFeSOgriLIxQCgFAKAUAoDxPCrqVYAg8x/95eusxk4u6NZwU1ZozhHli0jlNugYXPquCK644x+aK+XDlf2ZFkm3Jx1Q/cP91bdZ/t/M1/07/d+Qbbk5/eQepP1JrV4yXY3XDo+cmR5cfM3OV7eFl/2gGtHiqjJI4Gkt9SKqAEnqeZNyT7TrUMqkpbs6adKEPdVj1WhIKAUBtwj5ZYm7nA/ECv8AVf2V0YaVqiOPGxvRfoUGF3gfDpNg48LHiEXEztGxlOTI8zSLYRJITYsRrblVk5JbsqFFy2uzau2tpNpFHDAg5BYgpHPq7t3n/o+tRPEU15k0cJVf8v1NEuBx0wtPjpbdQruvs+h4It6wailjI+SOiOAn5tL8zXFujAGLMXdjzPZU/iUBz7WNQvFz8rHRHAwW7ZYw7Ew6kEQoSOrDO3ve5/OopVqkt2TRw1KO0SeB0qK5MklsKGRQCgBFActtHZzwklQSnT+HwP611U6ie+5w1aLi9Ni32RvhNGmU5WHS9diraale8O76MqN5sc2KVixGcnTuFunq1tUmGxbo1lU/djd4dShlRyEeBnLWyAeJK29ehv8AlXpv9docu99exxdJUT1R1+Ex0iRxwqxKqLADqeZNvEk++vKYjESqzc5eZ30qKjsW2y8EwPEk848h6I8fGuCrUvoixo0surLOoToFAKAUBkAnQC57hWUm9EYbSV2YN+IIsr5yubLkfzb2udLDW4152qTkztexC8TSva5qOIGTiZXyZsoIjkOZr2soC3bXTS/XurPIqXtY16ula9zaA2fh5Hz5c1sj6AmwubWHqrHJna9jbqaV7ZjSuKBQSAOUZsqnhydo3sAvZu17aW51nkVL2sa9XSte5uF85jyPmC5iMj6C+lzaw9V++teTO17G3U0s1syNIxIyJJlfK7BVPDkuzG9gBlueR6chflW3IqXtY16ula9zaCczJlfMgu3Yfsg8rm1hprWOTO17G3U0r2zI1ifso+WTLIwVPo5O0Te1hlvbQm/K2vKs8ipe1jXq6Vk77nsvrIuV7xgF+w9lBF9Ta3LW3dWOTO17G3U0rtXPIm0jOV/pDZPo5Lt6ha9ut+VteVZ5E72sY6ulZO+56z6yDK94wC/Yeygi+ptblrascmfYz1VK7V9jyXuIxkc8XzAY5LsNLm2W4GouTyvWeRUu9NjV4mk0tdzIk+s7L2i8/sPZdL2va1wOg1GneKxyammm5nqaSvrt+9AJPq+zJ9J5g4clzpflluNO+1ORPXTYLFUtNd/3r2MGYWkazZYyQ7ZHsCOYvaxI5EDkacip2HVUtddj0XN4xkkvICVHDkuQACbi110I527qcieug6qlprv+/keTMLSHK9o2yscj2DadnlqbkCwvzFORPTTcdVS112PZJzImSTM4LKvDkvYcydOyNQNba6c6cmeuhnqqWmu5rOIGWR7PljYq5yPYEGxHLXXTS9Z5E+xjq6Vm77GzXOqZJMxXMBw5Lhe86dn22rHJna9jPVUrpXNRxIyNJZ8itlLcOS2a4Fl07faNuzfXSs8ipe1jXq6Vm77G43ziPI+cqWC5HvlHU6aC+mtY5M7XsbdTSvbMjScQMnEyuUvlBEchzG9rKAt3100ves8ipe1jV4qla9zTNs2NpOGYm4mXNYI+i3tc2FhrfnzsayoVUr2NXUoN2uiE2y4SgktLlLZQQshzNe1lGW7G9+Xce6pMtW9rEfMoJZrm+LYUfEMeSUuFzEZZLAE2FyBYE917mtf+ra9jbNQzWzG7D8NUWREYKxyq3DkuxJIAXS5vbS3PpWrpVW7NG0cRQSumSxfOyZXzKLt2HsoPK5tYd9q15M7XsSdTSva5rGIGRHyyZXYKn0ct2Jvawy3toTe1ra8tazyKl7WNerpWvc2Zu065Wugu/Yeyi19Taw01rHJna9jbqaV7ZhG11V7MFbVSystx3jMBWs6co7o2p1oVF7LM1oSknZv1sf21+NS0PERBivBkdb8kTicXKOJlyZuuS98vqvrVuefNQ2VDwxFw1yBswW2gbNmuO45taA2jCJxDLlHEK5S3UqDcD1XoDSmyYAiRCJQiMHRbaKwJIYdxuSaA3DBoHaTKM7KFZupUXsD6rmgNQ2VDkjj4a5I2DIttEYE2Ze4i599AbBgowzvkGaQAOerAAgA99gTQHgbMhyxJw1yxEGMW0QjkV7tCaA9fIIrytkW8oAkNvPABADd+hIoDC7OiAiHDW0X1f8Gluz3aaUBn/D4vpewv0otJ/H2cva7+zpQGBs6L6L6NfohaPTzBa1l7tNKAHZ0VpRw1tL9YLefcWObv00oDPyCO8TZBeIERn0ARYgd2gtQHk7Mhyyrw1yykmQW0cnmT33oD2cDHmjfIM0YIQ9VBABA9YA91AazsuEpInDXLIxZ1tozG12PjoPdQG04OMusmUZ0BVW6hTa4HhoKA0tsqEo8ZiUo7F3W2jMSCWPjcA0BuOETiCXKM4UqG65SblfVegNJ2VDw2i4a5GbMVtoWzZr+vML+ugN3yROJxco4mXJm65b3y+q+tAaf8Kh4fC4S8PNmy20DZs1x3HNrQG4YROJxco4mXJm65b3y+q+tAaV2TAI1iES5EbOq20VgxYMO43JNAbhhEzmTKM7KFLdSo5A+FAaV2VCEjjEShI2DottEYEkMO43JNAbRgow7yZBmcBWPVgL2B77XNAaxsuHLGnDXLEwaMW0RhyK91rmgNgwMeaRsgzSABzbzwAQAe+wJFAU23sOsccKIoVVBCgcgBlsBXPivDZ14Hxl8yjqrLwk7N+tj+2vxqWh4iIMV4MjtKtzz4oBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAo95+Uf3v6a58V4bOvA+Mvmc9VWXhJ2b9bH9tfjUtDxEQYrwZHaVbnnxQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUBqinViwVgSpsbEHKe49xommZlGUbXW54w2MjkzZHV8jFWykHKw5qbcj4VhST2Np05wtmTV1deq7kismgoBQCgKPeflH97+mufFeGzrwPjL5nPVVl4Sdm/Wx/bX41LQ8REGK8GR2lW558UAoBQCgFAKAUAoBQCgFAKAUAoBQCgBoDj8Zvm7TyQYPCtiWi0kbOEUHkQCQb6gjpyNr1zPENycYRvYu6fCIRoxrYmqoKWytdshR+UlCYVMDKTLwpgzAcE3AB5doed3eYa06taafH0J5fh6olNqaaUc0bfzL9Pz3Re717yjBiEZOI8sgRVzW0/ebkeVwPbU1WqqdvUreH8Pli3PWyirt/oVHz5llMjYPBPiIoyQ0mcLe3oixJ01tz1GgvUXUuV8kbpHf/otOkorE1lCUtla/17HiXylQBcM6xsUlLh9e1EUC6WAOcnMLajSjxcbJ23Mx/DtdyqRcleKTXZp31v5bGJN/5Y5VjnwMkXEB4V3GZz+6CCAFuSAddLijxTi7SjbsZjwOnUpOdGupZfe00Xf42+GpRbibXkinx7nDsVZy8rZh9BlMrHN6XUad1Q4epJSk7eevoWXGMJTqUaEVUV0koqz9q9lp2+Zs3O3gkhiWGHDnEYmdnxDjOqAAmwNz4Lfp5w76zQquKsldvUj4ngIVajqVKihTglBaX1S7L4nY7s7znEySwSQNBPFYuhIYWPIgi3h06i166qVXO3FqzRR47hyw8I1YTU4S2a0+qOjqYrBQCgKPeflH97+mufFeGzrwPjL5nPVVl4Sdm/Wx/bX41LQ8REGK8GR2lW558UAoBQCgMBqAzQCgMXoDJoDzmoDN6AyKAUAoBQCgMGgPkW6cJjnxkEmNfCSCS5H0YEmp1u/sPiGvVbRTUpRcrM9rxOoqlCjWhRVSOX109NP3c2nYeHxMe0RBLLiJlCuZWCBGdcxslubEZhfx0rPLjNTyu77mixuIw1TD86EYQ1WXW6TtvfyPGyXk2rMG1/y+CKC/IzujKG8Lt2vuCsQbryv2X5m+KjDhVHJ/7lS//wAU07fT+5nccj5O6NtB8I0btmiPCW38XbFz3HuIph/dtntby0McYu66nHDqopJWl7X00ZUrBhxicAYGlkVsbZnkVVDkSQXKAfu69dajtHNHLff7HbzK7oV+clFqmtF5aS39Tr/KgBxtmf8Afn/dFXTi/eh8Sj/D/hYlf7P0Zyy7SESbajuBJLMERb6sDLIHt32Un3iufPlVRebZcvDurPB1LezGN2/hFNF7tPZmD+UQ4VpZMJiYcPGFnDBUey8uY11OtxexHSppQp5lG9mluVlDE4tUJ11GNSnKTvG12v38ybuTtbEfLZsG864qNEzCYAXBGWwLDn5xFiTqOdbUJz5jg3ddyDiuFodJDEwg6cm7Zf1t/wCD6DXaebFAKAo95+Uf3v6a58V4bOvA+Mvmc9VWXhJ2b9bH9tfjUtDxEQYrwZHYyyBVLHkASfUKtr2KCKcmkjjh5SMKYw6xzuTcsiopaNQfOftZQPbXN1cGrpMvH+H8TGo4ScV6t2TfZaakt9/MIIYpwWKSScM6AGNrXJe50AFjpfnpetnioZVIhjwTFOrKlZXis3xXoRcP5SsExkDGRAouCy/WC9hkAJNzz1A09tarF03e5LP8PYxKOVJ33s9vie8F5Q8K7ojpNCH8x5UARu43BOnjy8azHFQbs7r4mK3AcTCDlFxlbdRd2vkczu1vEmFxe1DJxHZ8QQkaAs7kPLew8Bb8q56VZQnO/ctsfw+eIwuG5dklHVvRLSO7Ou2Zv1hJY5ZCzRcIXdZBZgL2FgL5u1YWGtyO+umOJhJN7W7lJiOC4qjOMElLNs07pkL9pEAszQYlYibCUxjIfHnr7Na16uO7Tt3Oj+H67vGM4OS/lUtSiXb8UG2MXO7kxtAgQLdi5ZICiqOt7kj21DzVGvJva32LB4CpX4VSpwj7Sk7t6Ws5XuzoF30wuJjxMLiaFlikLKyhZMgQ5ilie0BrY61N1EJpp3RWS4PisPOnUjlknJWad1e+l/Q4nDTQjE7N4bzcAYeXVyOIoLYjieboOVhboBXKpRzws3a33PQTp1emxHMjHPnjtt/LY0YnbkSDZy4ZsTw4pXd89gWu6aDKcrWAYW/i8TWsqqSgo3siSngKs3iJYhQzSikrbLR666r/AAfUt2t54cbxeEHUxkBlcAHW9joT1BHsqxpVo1L28jx+O4bVweXmNNS2a1R6wu8sUk2KhUOTh1u5sMp0NwpvzFiNbUVVOTivI1qYCrTpU6srWnt3+Zzn7V8J/pYj8MX99c/XU+zLj+FsX/VH6v7HQbrb0xY4SGJZF4ZUHOFF817Wyk91T0a0auxV8Q4ZVwLiqjTv2/8ACLZsbECQZEBHMFluPzqXMu5xKjUauov6GPl8X+rH+Nf1rGZdzPIq/wBL+jK7aOCwM5DTLBIRoCxS9u6/O3hWko05e9Y6aFbGUFak5JelyTgThYVCRGGNR0UoBfv06+NbRyRVlYiqrEVZZ6ik33dzxs+PCQBhDwYwzZmylBc9/OsRyR2sbVnia1nUzO2ivci47Zmz5nzyph3c82JS59Z6+2sShSk7tIlpYjHUY5abml21N7YbBHhaQfQm8XmfR8vN7tQD7BWbU9NtCNTxaze97W++vxNmMGElKGQwuY2zIWZDlbvGvgPdWZZJb2NafU0k1BSV1Z2vqiJPszZ7ycZkw5kuDmJS5I5E66nStXCk3d2uTQxGOhT5cXJR7am/aWHwWItxhBJbkWKEjvseYrMlTl71jShUxdC/KzRv2uetnRYOAFYeDGDzylBf19/tpFQj7tkYryxVd3q5pfG5M/xCL/Vj/Gv61tmXcg5FX+l/RmVx0RIAkQk8gGW5/Os5l3MOjUSu4v6EiskZR7z8o/vf01z4rw2deB8ZfM56qsvCTs362P7a/GpaHiIgxXgyOr2h9VL9hv8AaatnsUdH34/FHB+SDEQjCzAlRIJCXuQDkyrlJ/h87864sE45H3PSfiinVeKi7PLbT431+Z8/xiB3nKf/AM7YyyW0FiZLW7uwV/KuOSu3bbMelpScIRzeIqWv5b/M7/yqRBW2eWA+TrKRILaWulh+APp667MWkst9rnmfw9JyjXUX7bjp+f62JPlXnhOBXVSzOhisQfWV8Mt9fEVtjHHl/wBiL8NwqrG3s7JPN/n5lJ5LXVcbillIExWwva5Ib6QDxvb3VDhLKpLNuWX4iUpYSk6S9j/GhXb47RhTaWIcRrNHwwsi3OVnyjmV5WYKdOq2rWtOKqt2udHC8NWqcPhBycJXun529F8Lltvh8sOzhJPNAkbCPJBCnnAlSozMbiw17Pd3VJXz8q8mrdkcXCnhFj8tGEnJXvKT276LvtqVm5EsQ2nEZCB/loghNtH+TxWt42zCo6DXOV+y/sjs4vGo+HSUL+/K9u2eRL8pjo+OjEVi64eTi26KFc2NuuTN7CK2xVnUVuzuQcAjKODk6mzlHL8brb52Oe2d52B/4bEf7sTUEd4/B/qWuI92v/zh/aBvwhAi2QTp/mpv/cw9bR92n8X/AHRHV1rYv/hH/tkdXtfFjZ21HxH/AEOIhckC1uIguR6yyr/5hronJUq2byaKTDUnxHhyor36cl9H+lr/AELPycbPdcHLiCLzYkvJc2155L+BJZvvVJhYNQcvNnHxyvGWKjRXuU0o/f7fIg8Lbn+lhvdF+taf+p7I6s3Bf6p/mdHumuNAk+WLGpuuThhdRre+X2V0UeZrnsVPEng249K5Ned/yKzFeTPByO7lpgWYsQHW1ybm11J/Oo5YOm3fU7KX4kxlOCglHRJbf5NX7LMF6c/40/srXoqfqSfxRjO0fo/uP2WYL05/xp/ZToafqP4oxvaP0f3H7LMF6c/40/sp0VP1M/xRje0fo/uP2WYL05/xp/ZToqfqY/ijGdo/R/cr9u7ibOwkLTyticq2FlaMkkmwAuoH51pUwtKEczudWE47xDFVVSpqF33T+5Mw3kzwEiI6vOVZQynMmoIuD5nca2WDptX1IJ/iXHQk4yUbrTZ/c2fsswXpz/jT+ys9FT9TT+KMZ2j9H9x+yzBenP8AjT+ynRU/Uz/FGM7R+j+4/ZZgvTn/ABp/ZToqfqP4oxvaP0f3H7LMF6c/40/sp0VP1H8UY3tH6P7mG8l2CGpef8af2U6Kn6hfifGvyj9H9zndhbN2TJio0h+WORIMrELwyy6i5AzAaeFQ04UHNKN/0LLG4nikMNKVXlpNar+az9L2PrgqyPFFJvPyj+9/TXPivDZ14Hxl8znqqy8JOzfrY/tr8aloeIiDFeDI6zHC8cgHMow/I1bPYoqTtOPxR883N3MgxOCjOJiZXDvY6o2W/I94vfn42rhoYeM6azo9RxXjFbD4yXTzTi0vVXsdY+52DMUUPCskT8RQGOrdSx5tfx7hXTyIWStsUi4riuZKpm1krP4enYtdpbOinjaKZA6NzB+II1B8RUkoqSszkoV6lCaqU3ZrzKHZu4GBhkEqxlmU3XOxYKehtyPtvUMcLTi7pFlX45ja1N05S0e9klc2YncbBSGYtESZXzsczXDa6r6OrE28fAWy8NTd7rc1p8ZxlPIoz91WWnl69z3gty8FHDJAIrrJbOWJLNblrzFjqLWrMcPTUXG25pV4vi6lWNVz1jtbZfI04bcLAorKYy91KguzMVB55OinxGtYWGppWsSVON4yclLNbW+iSv8AHuI9wsCM14i2aNUOZmOi2sR3NoNR3eusLDU+wlxvGO3t2s29l5/p6GzZe5ODgWVUjJ4iMjFmJORhqo9H2VmGHpxTstzTEcYxdeUXOXuu6srK68xh9ycGhhIQnhI6LdjqHzFs3fq7e/1UWHgrabCfF8VNTTl7zTena1rfRGJtyMG2HTDFGyIxZTmOYM3nG/W/dy0FHhqbjltoZjxjFxruupe09Hppp6HBbUwSYgQbPweEnjVZ2Z5JVOlxlZr3OltTe3mqALmuOcVO1OEWtT0WGryw7njcTWjJuNkov5pfu/mfXMLh1jRI0FlRQqjuAFgPdVklZWR4ypOU5Oct27m2smgtQHz2feLHPtHE4LD8PQDIXGkSgKWc21YnNa3eRXG61R1XCJ6SHD8HDA08VWza3ul572XpsV2I3wx0Hy3DTNG00SKySKosLtGOVgCMsgI00PO9RPEVIZoy3R2Q4Rg8Rya1JNQk2mm/R/qu51U+25RskYsW4vydXvbTMba29t7V0uo+Tn87FJHBU3xLp37ue3yOV2bvhj5p4YI+EWlgXz1sqvYlpTlF+QOnLlpXPDEVJSUV5ousRwfBUaM6s7pRm1pu15L/ACb8JvFtT5VLs88F5+kpFljXKGLWA7QykWFr376zGtWzunpfuR1eH8O6aOMWZQ/p3be3y1KbeLb+KeHG4LFlGeJoyHQWvaRQeVrghlI0HWoqtWbjKE/IsMBgMPCtRxWGuoyurP4P7FzHjtqrgo8VGYUhjiUiIi7tEigZ2JHUDNYEaeNSqVZU86ta2xXSo8MljJUKmZylJ+1sk29rfl8Tam+8+MfDwYMJG7pmld9RGRfMBfny7jfMOWtZ6mVRqMPmavgtHBwnVxV3FO0Uv5vVnjHb14zBvLhsS0crmBnhlRQBmCse0OR809OYHMGkq86bcZa6aMzS4XhcXCFegnFZkpRb8nbZm7d3ae1sUkM6GARXysG0Mlms76DTqNCOXKs0p15pSVrGmOwvDMJOdGWbNurbLTRepP3g3ixL4wYDBZBIFzSSOLhBa9reojofOArepVm58uG5zYLAYeOFeLxV8t7JLdlNtbbm0oJPkUzwFpVJSbKQCtmutgOZtbloSO+4inUqxeR218zvw+C4fWp9VTUrResb67qz+BI8kUeI4JbNH8nzv2bHicTs635WtWcFmy+n5mn4nlQ59rPPZa+VtfzPo1dx5Yo95+Uf3v6a58V4bOvA+Mvmc9VWXhJ2b9bH9tfjUtDxEQYrwZHaVbnnxQCgFAKAUAoBQCgFAKAUAoBQCgFAfP8Ad+BhtzHMVIHC52NteFbXxsfce6uOmn1En6fY9JjKkHwejFPXNt/9ii3o2XLLtHaSojEnDKy2B7QXgcu/zGA8RaoKtOUqs7Ly+xZ8PxdKlgcO5SWk2n6e990e13haXZbYKPDymWOLLISvYRI7EsTzuQLZbc/zzzW6ORRd7ETwMKXEliZ1I5XK611bfl8L7vseNxMK42hhSUYD5JmuQbWKkA+q+lYw8WqsdPIk4xXpywNVKSvzP1LzZ0DfODEtlOXgg3sbW4cQvf1gj2Gpop9S36fYrq9SD4JTjdXzbfORye+OFf5XtM5GtljN7G1i8Vj+R9x7q5q8Xnnp+9C64XWprDYZOS3l5+ki9xW9Lx4AYF8LMMS0AhAy9llKZQ6kansm9gOelTus1TyOLvaxWU+GwqY14qNWPLzZnrrve1vj59ikh3XOCfDy4zDtNA8f0oUEmFz35T0069W7qhVDlNOauv7FjPinWwnTw1RQmn7N/wCZfP8AexOxsWGlWb5BgDw1gkLTsJBY5DYRgk3PTv1PrreSg78uHlv9jmpTxFKUOrxGrlG0VZ+e7a2R2/k3jK7OwwIto518ZGIPtBvXVhVakih45NSx9Rp32/sig20kmA2o2PMbyQSplcoLmPsqDf8AAp17zUNS9KtzLXTLHCyhjuHLCZlGcXdX0vv9yJjJH2pjI5oopFw+HjY52WxdrE2XvuQot6zWJN1qiaWiJacYcMwkqdSac5taJ3svX99i88ksZXA6gj6V+YI9EfEEeypcGmqevc4fxHOMsbeLv7KO0rqKEo95+Uf3v6a58V4bOvA+Mvmc9VWXhJ2b9bH9tfjUtDxEQYrwZHaVbnnxQCgFAKAUAoBQCgFAKAUAoBQCgFAUG8W9eHwjKj5nlbVY4xmYgmwPQDXx1qGrXjT0e5Y4LhdfFpzjZRW8m7IiYHfnDSLMSJI3iRnaKRQHsouba2J8L1rHEwkn5WJa3BcRTlBK0lJpKSd1dlns7b0U2E+WKGEeR3II7QCZswsOvZNSRqKUM62OSvgqlHE9M7Zrpemu39z5xvJvqs+IwE0InRI3zOtrZu2twtjZzYEe21cFXEqUouNz1eB4LKjQr06uVtrR9tHq9NDsMdv/AIaPIoSZ5XUNwlTtrcXAYE6G2thfSx5GuqWKgu9+xRUeBYipmk3FRTtmb0fwJOzt9sJLFLNnMYi+sWQWZbmw0F81zppfWto4iEot9iGvwfFUqsaeW+bZrZ/MgQ+UfCkrmjnjjY2WV0GQ+0En8q0WLh5p27nVP8P4lJ5ZRclvFPUlYzfvCxyywkSM8YWwRQ3FLC9o7HXQjnYVtLEwTcexDT4JialONXRKV9W7Wt37EaDyj4RkLZZeIGyiHJeRjrysbW0PXStVi4Ned+3mSz/D2KjNJuOXfNf2SZs3fnCSwSz5jGsVs6uO0M18tgL5r2Nrd1bxxMJRcuxBX4NiqVaNG13LZrb1+FiLhvKHhiyCSOeFHPYlkQBG8bgnTx5d9q1WKi3qmrk1TgOIUW4SjJreKeq+Rux+/MKSSRRwz4gx/WNCmZU77m/Sx8NDWXiYptJN27EdHgtadOM5yjDNtmdmy52FtqHFxCaFrrexuLFWHNWHQ6j31LTqRmrxOHF4SrhanLqqz/v6osq3OYo95+Uf3v6a58V4bOvA+Mvmc9VWXhJ2b9bH9tfjUtDxEQYrwZHaVbnnxQCgFAKAUAoBQCgFAKAUAoBQCgFAfOMGwXeCfjEAtF9EW5XKR2y38A49d64Y6Yl37aHqKqcuCQ5flL2rfF7/AJFR5UCHxqiGxkXDPxbdFCuSG8cl/eKixetT2d7Hd+HvYwjdX3XOOX43W3zLfd3HRpsGS7qCIsQtiR57tJlX1nMvvqWlJLDb+TODH0KkuNKyfvRfyVrs5TAmy7F/4l//AJEdc0dqfx/Uva3v4z/gv+1nVbhOo2ltISkcYyNkvzK8R82W/S2TTutXTh2ubO+5ScYjJ8Pwzpr2UtfjZb/mUvlMxGFaSVcOh4wZDPIvmEWICnW18xS+nO2txUWKcG3l38zv/D9PExhF1n7DTyJ737/C1zrt98ThzspspTIyRiIC3MFcoXxAHuBrpruPJKThNOuuJx0d03m/W5yPkpib/EG4g7Qw1xfmAeEF9XYIFcuDT5rv2+xe/iOUHgYuns5//q/5l9ujAv8AjO0TYXAa3hmdST6z+tT0UufNlZxKcv8AScOr7/pc+e7fRuNjreYMW2a19O3Nl/n+VcNRPNL4/c9Pg3HlUL78vT6RufQd59nzy4S+IxmFGH7LKyxN083JYm9xpYdK7q0ZSh7Ulb4Hl+HV6NLFf9CjNz1VnJfO+hB2DsmQcWTZOODAECWOVSAzAed2gdDc2Nh3X0rSnTeroy+p04zFweWHEaD7xcXsu3y/aOj8m+1uPFMDBHC6SWfhABHY82sOuljqelT4apmi9LWKrjeE5FWDU3JSV1fdLsdhXSUpR7z8o/vf01z4rw2deB8ZfM56qsvCTs362P7a/GpaHiIgxXgyO0q3PPigFAKAUAoBQCgFAKAUAoBQCgFAKAp9vbtYbGAcePMV5MCQw8LjmPA6VHUpQqe8jtwfEMRhG3Sla+63Rq2LulhMLn4UQu65WZiWJU8115A9QOdYhRhDZG2L4nisU1zJbapLRETC7gYGOQyCG51sGZiq37gT46X5VosNTTvYnqccx1SGRz+iV/qe59xsG8EeHKHLGWKHMcwLm7a9b6aeArLw1NxUbbGIcZxcK0qylrLfTTTbQ0SeTvAFFThEZb9oO2Y39I9f5VjpaVtiSPH8dGTln38rK3yXkWWzd1cJBE8UcK5ZBZ812LjoGJ6DoOlbxowirJHJX4lia9RVJzd1tbS3wsVuH8neARw/CLWNwrOzKPYTqPA3rRYWknex1VOPY6cMrn80kn9fsXGF2BBHiJcUq2lkUKxubW05DkL5V91SqnFScluzhqY2tUoRoSfsxd0ZwWw4Yp5sQikSS2zm5I07h0pGnGMnJbsxVxlWpRhRm/ZjsR4t1cKGxJ4Qb5QbyhiSDqToP3e0SdOvsrVUYK+m5LLiWJkqaze57pAw/k+wKMrcNmCm6q7uyD2Hn6jetFhaad7HTPjuNlFrMlfdpJN/M27R3Hwc0jSlGR284xuyZr87gaa9bc6zLD05O9jSjxjF0qapqSaW10nb4FtsfZEOGjEUCBFvc8ySe8k6k+upYQjBWijixOKq4mpzKsrsn1sQFHvPyj+9/TXPivDZ14Hxl8znqqy8JOzfrY/tr8aloeIiDFeDI7Src8+KAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgKPeflH97+mufFeGzrwPjL5nPVVl4Sdm/Wx/bX41LQ8REGK8GR2lW558UAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAUe8/KP739Nc+K8NnXgfGXzOeqrLw3YSUK6MeQYHTwNSUpKM02RV4OdNxR0Hzhi9F/cv61Y9TT7lP0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdh84YvRf3L+tOpp9x0dbsPnDF6L+5f1p1NPuOjrdjy+8cQF8r+5f1p1FPuaTw1SCzSRQTb3sGZdQQeWVbAG3Xu1FR85vW5z5ZnvZ29LyuqBiCb/uobWt7+fhWea+4yTLE7Rn6P3c1Uc1B/nanNl3GSZ4G1ZrlcwuCAdF6gnu8KxzpdxlmYj2tMwBDc/wCFbcyOfK+n5inOl3GSZ6G0572zdbXyr46/lTmy7jJMHac9r5uhPJeQpzZdxkmY/wAWm0s4NwDay3F1uPyv7vVTnPuMkz2Noz387u/dXr/+1nmy7jJMiY+WWQC7DQnmAPh6qjqSc42bJaLqU5ZkVLyMCQeY06Vy5Tq6ut3/ACJFRlyKAVkwKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAaMTzFZRW49+1E01sV4pcCgFDArBkVkwKAUMigMg21oDFAf/2Q==&quot;,&quot;width&quot;:259}" 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" width="259" height="194"><figcaption class="caption"></figcaption></figure></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-08-30 22:20:23 UTC</pubDate>
         <guid>https://padlet.com/mkons/4cpmfcy1p6i7/wish/183824570</guid>
      </item>
   </channel>
</rss>
