MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01CC4CB9.E47C16A0" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Windows® Internet Explorer®. ------=_NextPart_01CC4CB9.E47C16A0 Content-Location: file:///C:/8CF619D3/math_clicks.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252"

  MATH CLICKS –GRADE  2..

2.1          = The student will

a)   read, wr= ite, and identify the place value of each digit in a three-digit numeral, using numeration models;

b)   round two-digit numbers to the nearest ten; and

c)   compare two whole numbers = between 0 and 999, using symbols (>, <, or =3D)= and words (greater than, less than, <= /i>or equal to).

 

 

·&= nbsp;        Pl= ace Value Models 1

·&= nbsp;        Pl= ace Value Models 2

·&= nbsp;        Hundred Chart = Number Sense

·&= nbsp;        Qu= ia Q= uiz – Place Value

·&= nbsp;        Comparing Numbers

 

 

2.2          = The student will

a)   identify= the ordinal positions first through twentieth, using an ordered set of object= s; and

b)   write the ordinal numbers.

 

·     &nbs= p;   Various Games

2.3          = The student will

a)   identify= the parts of a set and/or region that represent fractions for halves, thirds, fourths, sixths, eighths, and tenths;

b)   write the fractions; and

c)   compare the unit fractions for halves, thirds, fourt= hs, sixths, eighths, and tenths.

·     &nbs= p;   Matc= h the Fraction to the Picture<= /span>

·&= nbsp;        Holiday-Winter Fractions

·&= nbsp;        Fractio= ns

2.5          = The student will recall addition facts with sums to 20 or less and the corresponding subtraction facts.

·&= nbsp;        Word Problems –Basic Facts Game  Subtraction

·&= nbsp;        Word Pro= blems – Basic Facts Game~ Addition

 

2.6          The student, given two whole numbers whose sum is 99 = or less, will

a)   estimate the sum; and

b)   find the sum, using various methods of calculation.<= /p>

 

2.9       The student will recognize and describe the related facts that represent and describe the inverse relationship between addition and subtraction.

·     &nbs= p;   Addition= with Regrouping  Good Homework Lin= k

*******

·&= nbsp;        FIVE F= RAME

·&= nbsp;        TEN FR= AME

 

 

2.7          = The student, given two whole numbers, each of which is 99 or less, will

a)   estimate= the difference; and

b)   find the difference, using various methods of calcul= ation.

 

 

 =

·     &nbs= p;   UNI= TED  STREAMING

 

2.10        T= he student will

a)   count and compare a collection of pennies, nickels, dimes, and quarters whose total value is $2.00 or less; and

b)   correctly use the cent symbol (¢), dollar symbol ($)= , and decimal point (.).

= ·         Counting and Comparing Money II

= ·         Counting and Comparing Money II S= tudent Worksheet

= ·         Money Compu= ter Station Template

2.11        T= he student will estimate and measure

a)   length t= o the nearest centimeter and inch;

b)   weight/m= ass of objects in pounds/ounces and kilograms/grams, using a scale; and

c)   liquid volume in cups, pints, quarts, gallons, and l= iters.

 

2.12        T= he student will tell and write time to the nearest five minutes, using analog and digital clocks.

 

2.13        T= he student will

a)   determin= e past and future days of the week; and

b)   identify specific days and dates on a given calendar= .

·&= nbsp;        Days and = Dates –Calendar Practice

·&= nbsp;        Gra= de 1 Sample

2.14        T= he student will read the temperature on a Celsius and/or Fahrenheit thermome= ter to the nearest 10 degrees.

·     &nbs= p;   Read a Thermo= meter -- IXL

2.15        T= he student will

a)   draw a l= ine of symmetry in a figure; and

b)   identify and create figures with at least one line of symmetry.

 

2.16        T= he student will identify, describe, compare, and contrast plane and solid geometric figures (circle/sphere, square/cube, and rectangle/rectangular prism).

·&= nbsp;        SOLID FIGU= RES GAME

·&= nbsp;        SOL= ID FIGURES FACTORY GAME

·&= nbsp;        SHAPE CHARACTERISTICS – 2-player game

 

2.17        T= he student will use data from experiments to construct picture graphs, picto= graphs, and bar graphs.

2.8          = The student will create and solve one- and two-step addition and subtraction problems, using data from simple tables, pict= ure graphs, and bar graphs.

2.19        T= he student will analyze data displayed in picture graphs, pictographs, and b= ar graphs.

 

·     &nbs= p;   Create A Graph

·     &nbs= p;   Let's G= raph

·     &nbs= p;   Create-A-Graph Tutorial   Video<= /span>

·     &nbs= p;   Just the Graphs

·&= nbsp;        <= span style=3D'mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin'>GR= APHING PRACTICE 1

·&= nbsp;        <= span style=3D'mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin'>GR= APHING PRACTICE 2

·&= nbsp;        LE= T’S GRAPH

·     &nbs= p;   C= ALCULATOR AND TALLY TABLE

 

 

2.18        The student will use data from experiments to predict outcomes when the experiment is repeated.

 

2.20        T= he student will identify, create, and extend a wide variety of patterns.

 

2.4          = The student will

a)   count fo= rward by twos, fives, and tens to 100, starting at various multiples of 2, 5, or 1= 0;

b)   count ba= ckward by tens from 100; and

c)   recognize even and odd numbers.

 

·     &nbs= p;   Number patterns Counting by twos and threes

 

 

 

2.21        T= he student will solve problems by completing numerical sentences involving t= he basic facts for addition and subtraction. The student will create story problems, using the numerical sentences.

·&= nbsp;        Word Problem PowerPo= int Presentations

·&= nbsp;        Sum= mer Word Problems

·&= nbsp;        Ms. Harris ~ 20 Ways to Make Ten

·&= nbsp;        Apples in A Basket (Harris)

·&= nbsp;        Cookies (Harris)

·&= nbsp;        Tigers (Harris)

·&= nbsp;        Dol= ls (Harris)

·&= nbsp;        Birds Fly Away (Harris)

·&= nbsp;        Bear (Harris)

 

 

2.22        T= he student will demonstrate an understanding of equality by recognizing that= the symbol =3D in an equation indicates equivalent quantities and the symbol = ≠ indicates that quantities are not equivalent.

·&= nbsp;        Number Balance – For Whole Group

·&= nbsp;        Cuisenaire Equality

 

Links that Support Several Concepts=

 

 

------=_NextPart_01CC4CB9.E47C16A0 Content-Location: file:///C:/8CF619D3/math_clicks_files/themedata.thmx Content-Transfer-Encoding: base64 Content-Type: application/vnd.ms-officetheme UEsDBBQABgAIAAAAIQDp3g+//wAAABwCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKyRy07DMBBF 90j8g+UtSpyyQAgl6YLHjseifMDImSQWydiyp1X790zSVEKoIBZsLNkz954743K9Hwe1w5icp0qv 8kIrJOsbR12l3zdP2a1WiYEaGDxhpQ+Y9Lq+vCg3h4BJiZpSpXvmcGdMsj2OkHIfkKTS+jgCyzV2 JoD9gA7NdVHcGOuJkTjjyUPX5QO2sB1YPe7l+Zgk4pC0uj82TqxKQwiDs8CS1Oyo+UbJFkIuyrkn 9S6kK4mhzVnCVPkZsOheZTXRNajeIPILjBLDsAyJX89nIBkt5r87nons29ZZbLzdjrKOfDZezE7B /xRg9T/oE9PMf1t/AgAA//8DAFBLAwQUAAYACAAAACEApdan58AAAAA2AQAACwAAAF9yZWxzLy5y ZWxzhI/PasMwDIfvhb2D0X1R0sMYJXYvpZBDL6N9AOEof2giG9sb69tPxwYKuwiEpO/3qT3+rov5 4ZTnIBaaqgbD4kM/y2jhdj2/f4LJhaSnJQhbeHCGo3vbtV+8UNGjPM0xG6VItjCVEg+I2U+8Uq5C ZNHJENJKRds0YiR/p5FxX9cfmJ4Z4DZM0/UWUtc3YK6PqMn/s8MwzJ5PwX+vLOVFBG43lExp5GKh qC/jU72QqGWq1B7Qtbj51v0BAAD//wMAUEsDBBQABgAIAAAAIQBreZYWgwAAAIoAAAAcAAAAdGhl bWUvdGhlbWUvdGhlbWVNYW5hZ2VyLnhtbAzMTQrDIBBA4X2hd5DZN2O7KEVissuuu/YAQ5waQceg 0p/b1+XjgzfO3xTVm0sNWSycBw2KZc0uiLfwfCynG6jaSBzFLGzhxxXm6XgYybSNE99JyHNRfSPV kIWttd0g1rUr1SHvLN1euSRqPYtHV+jT9yniResrJgoCOP0BAAD//wMAUEsDBBQABgAIAAAAIQAw 3UMpqAYAAKQbAAAWAAAAdGhlbWUvdGhlbWUvdGhlbWUxLnhtbOxZT2/bNhS/D9h3IHRvYyd2Ggd1 itixmy1NG8Ruhx5piZbYUKJA0kl9G9rjgAHDumGHFdhth2FbgRbYpfs02TpsHdCvsEdSksVYXpI2 2IqtPiQS+eP7/x4fqavX7scMHRIhKU/aXv1yzUMk8XlAk7Dt3R72L615SCqcBJjxhLS9KZHetY33 37uK11VEYoJgfSLXcduLlErXl5akD8NYXuYpSWBuzEWMFbyKcCkQ+AjoxmxpuVZbXYoxTTyU4BjI 3hqPqU/QUJP0NnLiPQaviZJ6wGdioEkTZ4XBBgd1jZBT2WUCHWLW9oBPwI+G5L7yEMNSwUTbq5mf t7RxdQmvZ4uYWrC2tK5vftm6bEFwsGx4inBUMK33G60rWwV9A2BqHtfr9bq9ekHPALDvg6ZWljLN Rn+t3slplkD2cZ52t9asNVx8if7KnMytTqfTbGWyWKIGZB8bc/i12mpjc9nBG5DFN+fwjc5mt7vq 4A3I4lfn8P0rrdWGizegiNHkYA6tHdrvZ9QLyJiz7Ur4GsDXahl8hoJoKKJLsxjzRC2KtRjf46IP AA1kWNEEqWlKxtiHKO7ieCQo1gzwOsGlGTvky7khzQtJX9BUtb0PUwwZMaP36vn3r54/RccPnh0/ +On44cPjBz9aQs6qbZyE5VUvv/3sz8cfoz+efvPy0RfVeFnG//rDJ7/8/Hk1ENJnJs6LL5/89uzJ i68+/f27RxXwTYFHZfiQxkSim+QI7fMYFDNWcSUnI3G+FcMI0/KKzSSUOMGaSwX9nooc9M0pZpl3 HDk6xLXgHQHlowp4fXLPEXgQiYmiFZx3otgB7nLOOlxUWmFH8yqZeThJwmrmYlLG7WN8WMW7ixPH v71JCnUzD0tH8W5EHDH3GE4UDklCFNJz/ICQCu3uUurYdZf6gks+VuguRR1MK00ypCMnmmaLtmkM fplW6Qz+dmyzewd1OKvSeoscukjICswqhB8S5pjxOp4oHFeRHOKYlQ1+A6uoSsjBVPhlXE8q8HRI GEe9gEhZteaWAH1LTt/BULEq3b7LprGLFIoeVNG8gTkvI7f4QTfCcVqFHdAkKmM/kAcQohjtcVUF 3+Vuhuh38ANOFrr7DiWOu0+vBrdp6Ig0CxA9MxEVvrxOuBO/gykbY2JKDRR1p1bHNPm7ws0oVG7L 4eIKN5TKF18/rpD7bS3Zm7B7VeXM9olCvQh3sjx3uQjo21+dt/Ak2SOQEPNb1Lvi/K44e//54rwo ny++JM+qMBRo3YvYRtu03fHCrntMGRuoKSM3pGm8Jew9QR8G9Tpz4iTFKSyN4FFnMjBwcKHAZg0S XH1EVTSIcApNe93TREKZkQ4lSrmEw6IZrqSt8dD4K3vUbOpDiK0cEqtdHtjhFT2cnzUKMkaq0Bxo c0YrmsBZma1cyYiCbq/DrK6FOjO3uhHNFEWHW6GyNrE5lIPJC9VgsLAmNDUIWiGw8iqc+TVrOOxg RgJtd+uj3C3GCxfpIhnhgGQ+0nrP+6hunJTHypwiWg8bDPrgeIrVStxamuwbcDuLk8rsGgvY5d57 Ey/lETzzElA7mY4sKScnS9BR22s1l5se8nHa9sZwTobHOAWvS91HYhbCZZOvhA37U5PZZPnMm61c MTcJ6nD1Ye0+p7BTB1Ih1RaWkQ0NM5WFAEs0Jyv/chPMelEKVFSjs0mxsgbB8K9JAXZ0XUvGY+Kr srNLI9p29jUrpXyiiBhEwREasYnYx+B+HaqgT0AlXHeYiqBf4G5OW9tMucU5S7ryjZjB2XHM0ghn 5VanaJ7JFm4KUiGDeSuJB7pVym6UO78qJuUvSJVyGP/PVNH7Cdw+rATaAz5cDQuMdKa0PS5UxKEK pRH1+wIaB1M7IFrgfhemIajggtr8F+RQ/7c5Z2mYtIZDpNqnIRIU9iMVCUL2oCyZ6DuFWD3buyxJ lhEyEVUSV6ZW7BE5JGyoa+Cq3ts9FEGom2qSlQGDOxl/7nuWQaNQNznlfHMqWbH32hz4pzsfm8yg lFuHTUOT278QsWgPZruqXW+W53tvWRE9MWuzGnlWALPSVtDK0v41RTjnVmsr1pzGy81cOPDivMYw WDREKdwhIf0H9j8qfGa/dugNdcj3obYi+HihiUHYQFRfso0H0gXSDo6gcbKDNpg0KWvarHXSVss3 6wvudAu+J4ytJTuLv89p7KI5c9k5uXiRxs4s7Njaji00NXj2ZIrC0Dg/yBjHmM9k5S9ZfHQPHL0F 3wwmTEkTTPCdSmDooQcmDyD5LUezdOMvAAAA//8DAFBLAwQUAAYACAAAACEADdGQn7YAAAAbAQAA JwAAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1lTWFuYWdlci54bWwucmVsc4SPTQrCMBSE94J3CG9v 07oQkSbdiNCt1AOE5DUNNj8kUeztDa4sCC6HYb6ZabuXnckTYzLeMWiqGgg66ZVxmsFtuOyOQFIW TonZO2SwYIKObzftFWeRSyhNJiRSKC4xmHIOJ0qTnNCKVPmArjijj1bkIqOmQci70Ej3dX2g8ZsB fMUkvWIQe9UAGZZQmv+z/TgaiWcvHxZd/lFBc9mFBSiixszgI5uqTATKW7q6xN8AAAD//wMAUEsB Ai0AFAAGAAgAAAAhAOneD7//AAAAHAIAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVz XS54bWxQSwECLQAUAAYACAAAACEApdan58AAAAA2AQAACwAAAAAAAAAAAAAAAAAwAQAAX3JlbHMv LnJlbHNQSwECLQAUAAYACAAAACEAa3mWFoMAAACKAAAAHAAAAAAAAAAAAAAAAAAZAgAAdGhlbWUv dGhlbWUvdGhlbWVNYW5hZ2VyLnhtbFBLAQItABQABgAIAAAAIQAw3UMpqAYAAKQbAAAWAAAAAAAA AAAAAAAAANYCAAB0aGVtZS90aGVtZS90aGVtZTEueG1sUEsBAi0AFAAGAAgAAAAhAA3RkJ+2AAAA GwEAACcAAAAAAAAAAAAAAAAAsgkAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1lTWFuYWdlci54bWwu cmVsc1BLBQYAAAAABQAFAF0BAACtCgAAAAA= ------=_NextPart_01CC4CB9.E47C16A0 Content-Location: file:///C:/8CF619D3/math_clicks_files/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01CC4CB9.E47C16A0 Content-Location: file:///C:/8CF619D3/math_clicks_files/image001.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAmsAAAFdCAIAAADT5b2eAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAIdUAACHVAQSctJ0AAJ1/SURBVHhe7Z0FmBTHuoZv7MRdCCQkuLu7uzvB XZPgFggS3AMhSHAJkIQEgru7S9Bl2UUWd1kW2SX3hc6ZMxnpru7pnunZLZ557j2B0q+q66v/r1/+ 72/5RyIgEZAISAQkAhIB/Qj8n/4qsoZEQCIgEZAISAQkAn9LBpWbQCIgEZAISAQkAkYQkAxqBDVZ RyIgEZAISAQkApJB5R6QCEgEJAISAYmAEQQkgxpBTdaRCEgEJAISAYmAZFC5ByQCEgGJgERAImAE AcmgRlCTdSQCEgGJgERAIiAZVO4BiYBEQCIgEZAIGEFAMqgR1GQdiYBEQCIgEZAISAaVe0AiIBGQ CEgEJAJGEJAMagQ1WUciIBGQCEgEJAKSQeUekAhIBCQCEgGJgBEEJIMaQU3WkQhIBCQCEgGJgGRQ uQckAhIBiYBEQCJgBAHJoEZQk3UkAhIBiYBEQCIgGVTuAYmAREAiIBGQCBhBQDKoEdRkHYmAREAi IBGQCEgGlXtAIiARkAhIBCQCRhCQDGoENVlHIiARkAhIBCQCkkHlHpAISAQkAhIBiYARBCSDGkFN 1pEISAQkAsYQePLkSXR09OPHjx8+fPjgwYPIZ3/u3r17586ds2fPbtmyZfPmzX/++efYZ3/GjBnT o0eP5vr/jBw5Umlh6tSpNMifgwcP0gV/lB7p+tGjR4yE8RibiKwFApJB5TaQCEgEJAJWIQBXXbp0 6fjx4/v27du0adPixYt//vnnwYMHd+nSpWbNmlWrVk377M9LL730f37588ILLyRLloweq1Sp0qxZ s969ezOepUuXMjYGGRERAbNahUVsbFcyaGxcVTkniYBEIBAIINWFh4evX78eWho6dGjbtm3r1atX tmzZnDlzpkmTJkGCBP/5z3/8QpT6OnnttdcYG4MsWbJk48aNe/bsOWPGjF27dt26dSsQKAZTn5JB g2m15FglAhIBOyCA5vP+/fs3b948f/78nj170JS2b9++WLFiKVKkSJgw4YcffvjWW2+98sorzz33 nD4qs0dpBGLG//HHHydOnBhO7dOnD6LzqVOnrl27xqyl1td5B0oGtcP3KMcgEZAIBAECMTExPFXy pjhp0qR27dohXH7yySf2YD3LR4Gcmj9/fqTqmTNn7t69++rVq0GwYNYPUTKo9RjLHiQCEoFgRgCp iwfCuXPn8nBYoECBJEmS+O3Z0nJi1N/Bq6++mjp16uLFi3/33Xdbt26N4++mkkGD+cuWY5cISASs QQAj1Rs3bmD+M378+CJFirz99tswx/PPP6+fcWJtDa4Rb7zxRvLkyTt06LBs2TKkc6yLrVkN+7Yq GdS+ayNHJhGQCAQEARw/xo0bV6tWrQ8++CDWEqCpE4NN8+TJ06tXryVLlsQp+yPJoAH5QmWnEgGJ gO0QQO5E6GzTpg3OHkhXplJMnGgMV5n48eNjUYUbaxx5KJUMarvPWA5IIiAR8DMCPHP+8ssv5cqV ixNE55dJYorcokWL1atXX7582c+r6c/uJIP6E23Zl0RAImAvBPBIgTvx2XjzzTf9wixxqxPU4ESN wDs2toqkkkHt9T3L0UgEJAL+QSAqKmrjxo1lypR577334hat+Xe2OMW+++67uXLlwpiZmIJ4BPln ff3Ti2RQ/+Ase5EISATsggAxabdt24aOMS47pfiXRp/2xispPDp58mR05nbZCj6PQzKozxDKBiQC EoHgQQAflREjRqRKlUq6pvifROkRpyAiUfz++++ENwqeXeN1pJJBY8EiyilIBCQC2gigtsVtsXDh whziASGPoO4UZeyLL75oyhRoiqiBFSpU2L9/P4uivXI2LiEZ1MaLI4cmEZAImIQAmsMBAwZIHxVd FEi4+RIlSpDFpWnTpiRYq1Gjhrl673jx4hHFnoi7Ji1yAJqRDBoA0GWXEgGJgD8RIPg7nipS9NRF nxQuX748DrIEGyJIAn/mz5///vvvuzSCQMnrJhldCHaot33Kk6ymUKFCZLPhcdqfW8KsviSDmoWk bEciIBGwHQK3b9+ePXs2PhVBmibFACcZqIKNj8dX4WrVqp0+fVqhT/7s3Lkzc+bMLu1Dgb/99htp W5DyV61a9e233+q1bWZp3nnnHRKmnjt3znYbSGtAkkG1EJL/LhGQCAQnAleuXOnYsSOuFAZIJe5U IXEpGVcyZMjgPmUXBkXdiuOsSzGq4+vpYFn+h8emRPDkZRSSDi53F8mgwXk2yFFLBCQCqgggEuHL LzW33qgLyY8MoORog7QIG4RxrLsY6sKg169fJ1awc4M0MnjwYGf6RGbVK4M6GkQUxkZ6zpw5QUSi kkHlOSQRkAjEKgQ4f3H3JJml1NyqSH5kNt2+fbuD/FDDIomiknWu4sKgFB4yZAjh+hxl0qVLt3fv XmcGxdr59ddfF5E4Vcr07dv34sWLQZHKWzJorDo75GQkAhIBiIGT3cdDPNZXJwT8pk2bnMkPLsyZ M6c6gyKqkuhNKYNzC1H4oTrnRoYNG+ZCw5REuEyYMKG4HS8cXLt27TNnzth/M0sGtf8ayRFKBCQC QgiQXAXpM1OmTLGe/3yf4Msvv4zVD/ElHPzH/545c6ZzQjd3GRSrZkcBpNhFixY50ydBhon05KIN hj4rVqy4ZcsWXGLElerQc8GCBY8dO2Zzja5kUKEvUxaSCEgE7I8AtqDp06f3nV3iSAu5c+cmpoEz BfK/v/76a8f03RmUAilTplQKYPiD7te5Om/PLqZG0CfFwsLCKIa0yqMpPqaC8KKEz5Ejx5o1a+zs 6CIZ1P7HghyhREAioI3AgQMHUqdOLXg6y2IgQHwJhE4ER2cWJLt4xowZFXy++OILPExcKLZy5crK v86bN8/ln3bt2uXs7sKLKS3QoKMYJks4F7k7lXpbDsTZFClSQKLayx+gEpJBAwS87FYiIBEwCQFM To4fP064PsmLHhHAn4cHTo/p22rWrOkiR0KokNznn3/+6aef9uvXz4Vf4cLdu3eTrWzUqFHQoQuD LliwgOdVZQy8hvJKylumcwv876VLl6JA1rVSiRMnxkDp0aNHJu0XM5uRDGommrItiYBEwP8IICch GMlI8R5pCauczp07h4aGjhw5Mm3atKhVnYshhh45csSFCC9cuIB8uXnzZhdydSnm8p+w47hx4xQz It47GzVqhD+uSxnk0QIFChiwkU6ePDn0bMM3Ucmg/v/eZY8SAYmAmQh07dpVr1ijSwYK6sJImURC gMmIe0A+VP7TZTowqzo1Cv4r3qKDBg3CAggSJcjfyZMnXSryDspKOTvD6AI2UaJEW7duNXPfmNGW ZFAzUJRtSAQkAoFAAM3exIkTDR/Kuk7wYCycN29eFyZDLhw/fjwPxg6RnZdLxdLH9z/odUmj3b17 90uXLrm3xj+J2+J6RBsra55asbgOxF7z3KdkUPushRyJREAioAMBnj/RNDpMQ4OR4aweMwlV3FWp eK1gm4PeW3HQzJMnD0ZYvtOnegs8VGfJksXH+aL+ZbS4uOjYJRYXlQxqMcCyeYmARMAaBFBLkqtZ Pn+q0BLWQ+R08/iciWzav3//fPnyodpFAWspgyKbtm/f3j3SAiNn+XStIIVLly5NwgBr9pTuViWD 6oZMVpAISAQCjgCqvF69evko08SF6tgKoVZ1d0qxlDKdG4eex44dS/YVF7TR6OI2QwQGvE51LQQk Si0k6YBvQgYgGdQOqyDHIBGQCOhDYN26dQ7HCV3nbxwsjDcLJOo3ynTpCFtf8re4GACjPMCCiUdN FAmEkfroo490rQt8TPUHDx7o2zQWlJYMagGoskmJgETASgTwMpT6W12U89prrw0cONCjgY/VzMqz JRlXeMJEGk6aNGnr1q2hTFK4OAIK8lLbo0cPjHh1zejDDz/8888/Ax59XjKolR+6bFsiIBEwGwFi vPXu3VvvgavrdI6VhUk6Nnz4cPcwCFYzKEz5yy+/EJwIG2B3Fxel9x07djgCIYmDj2h76NAhs/eX vvYkg+rDS5aWCEgEAosAWkG9Sj/xQzl2lyTM0IwZM6ymTPf2UdXiDOoe3shREo/VUqVK6Y20wC2K uA3YSQVwQ0oGDSD4smuJgERAHwKRkZENGjSI3Tzny+xwUGnVqlWRIkVw8iGGO5nIXGipUqVK/mdQ lR6RiYnYRxoW8dxnzvhgjoR2OoCh5yWD6vuAZWmJgEQggAgQ2k0KoCoUC2si8MFYJ06cWL58+U8/ /USulTJlyhCLADYlH9nq1avtw6A4iZJMWzxbi8eJsx9QAgdqT0oGDRTysl+JgERAHwIYwlSpUkWX +6Av8lww1q1Xr54LQeJMwusjeT1XrlxJ9jeXhNgibIr2FWeYtWvXTpgwYdq0aUSx4D9VVLIibVJm 586dJAPAvMh3nBGs79y5o28zmVRaMqhJQMpmJAISAYsRIBWXMV2f72d0ULTAuyBZUwQJTLMYFkA8 ORM0kSSdmPK66E4JxcByELDeAJUePnyY5N742JiFKrpcZNmAOLdIBrX4o5fNSwQkAmYg8PDhQ1J0 mXXmxsp2iL2OYKdJjYIFFi1aVLx4cZWQ/WR9IRgCIqlgg0qxLVu2lChRwvRMACRvwbvUjI2mrw3J oPrwkqUlAhKBgCDAq57HsHCxkguNTQpRrEKFChs2bDh//rzD21IXvSmFUfxiskuKUE2FObnSyJhG yk9xSXT06NEuGdaMTdalFgZTaLD9H3ReMmhATgPZqURAIqADAY513rr0ejuYcjQHXSPcM3hfJFXn X3/9ZSDgLdT7+++/k9RafOL4ZULbgiSKDIrpEPEQ3P/4mLmFAa9YsULHrjKjqGRQM1CUbUgEJAJW IoAF6WeffSZ+psuSvFzyVEno4P379+sSQ8l0lj17dl0AIqpWr16dQFEiHeG++ccff5DB2/3PlClT OnTo8MEHH+jq3blwuXLluDRYuRNd25YM6k+0ZV8SAYmAbgTwAeVg1dQoGj52Y3FFnhtRxrZs2VI8 fxlxiwxAjeCLo5EIg6qXIe1akiRJDK8Ilr1EPvKnLlcyqO7vWVaQCEgE/IlAeHg48VQNn6qyIghM nTpVhN54QM2QIYMxxKpWrSrShXqZgwcPGh6AMuzcuXPjbOO3/SkZ1G9Qy44kAhIBIwjMnj3bgFRk jAZia62FCxeK0Nv69evjxYtnDASeTiMiIkR6USljQIfsMlr8naZPn25knxmqIxnUEGyykkRAIuAX BAjYRkZlY2d6nK2FYyjelji3EK69cuXKgwYNwnFThNuwPyIptzHc3n//faIuiPTirQy2SAR84PnW 2AActYho6LcU3JJB/XIMyE4kAhIBQwiQfIOj2ccjNS5Ux0UEG9dcuXI1bNiQeAWTJ09GoMS6R9BE VmG1wYMHGzaIfeutt+bOnWuAQQmZhFMp8Rn69OnDk+3HH3/s43rx+strqKHtpruSZFDdkMkKEgGJ gN8QGDJkiOne9z4e0PasjgEOXihcOHjL1MWazpznHwbFYQZPG2xxe/bsifUsgnKyZMkwwTUxY13J kiUvXLjgh10qGdQPIMsuJAISASMIECSdqOj2ZCy7jQoGxSnTgAjoXIVI9Ia1uOiNcccUGcD8+fOt Ro8w+jyfx8TEGNl2eupIBtWDliwrEZAI+BEBlHu6XPutPpft3H7ChAmJDSRCYCpl1q1bZ9iSCO2r twTaLj0SlsgPSJLT2w/h5iWD+vE8kF1JBCQCwgjg1Tdq1CgrIsD54fj2fxfvvPMOb58+MuiVK1ey Zs1qbPAEjRLUHhMyMF26dITVNdaRYC1iSqArFt5uBgtKBjUInKwmEZAIWIrA3bt3y5cvL3hcymIQ EgZEZFMJ8fTn7NmzguT6/fffG7i1EFFBV1oYxoOLarFixcjuaV2wRgJxWLpFaVwyqNUIy/YlAhIB IwjwCPree+9JahREANojgTauIATFdf9Dnm1BBoWDDYiheBwR+EKwC0cxtL5EMmrUqJFFC03Ue6uD /EkGNfJtyzoSAYmA1QhgqylIHrKYJgK4mmCbKsJwaGJ/+eUXohALioYUy5QpE7m7BVW47mMgcToJ wBGgU6RI8corr2jORbwAs0ZjbOlGlQxqKbyycYmARMAgAq1btxY/K2VJdQR4JRVP5InchnemoEkR jigknhPhZs0yu3fvzps3r4lLCbs3aNDAUnsiyaAGP29ZTSIgEbAOAfJp58iRw8TDNC43RVThMWPG EO5Hk8McBSBRJFH1ELXojVEX+24A7OiUNDKIoeauFIpcoupbt1Elg1qHrWxZIiARMIjA3r17cc8w 9zCNg63ho8krI0+bxlSs2PuMHTuWZ1ESvNAUTpb8IfQBPFeqVClMh1DAirMyY+CtFDsnLH491sK2 yPQ1QgydMGGCdY6hkkENfuGymkRAImAdAnPmzOHINv08jTsNEosfCRLRU/D5U4UIob2VK1dCbxOf /Zk1a9a2bdsuX74szp1KSfi4TZs22By1atWKUL1EUHLJAU52FysWqEqVKqg0LNqrkkEtAlY2KxGQ CBhHoHfv3iTZsOI8jQtt4ltSq1atnTt3ks5aL89ZVx4aVnxAkQuxGOKdlRDwBQsWhFDxZCWYA54t VqwOSUOReo3vRdWakkEtAlY2KxGQCBhEgMQa9erVs+IwjQttwkxkyTYgI1rHnUrLkyZNCpReAYY2 uBe1qkkG1UJI/rtEQCLgXwROnz5dpEiRuMB2VswxTZo0W7Zs8UaHxJ3ftWtXQGRTTJkIJY9VsBWz Vm8TidyiLSwZ1CJgZbMSAYmAQQT27duXPHly/5+zsaNHMpy0b9/e2fIWEx5eQ/EV4fUxW7ZsuG8u WrSIBClWC53u7TOqgQMHolb1M9TcKk6cOGFwO0otrhXAyTYlAhIBixDYtGlToNR9fj7ZLeruww8/ dORpwVpn+vTpJA11TrqCp5CBEEJmMS6P3BYFIfKGJ92Ru9SK7SplUCtQlW1KBCQCxhH4888/LaKW uNNss2bNcK8k0E/u3LndFaekzxSPlGsWcTraiYiI6NWrFwGD/LYcWCZ379790aNHxjell5qSQU2H VDYoEZAIGEfgyZMnKBv9drbG1o6wZEbo9JizGgtYoggZ8xDVxaY4vdARL6/utfjLL7/8Epthv+Ff tmxZdMjG96VkUNOxkw1KBCQCpiMAg7Zo0cJvB2tc6wg3EpxECTmkiwv1FqZ9FAmpU6dGG//VV18R FcgjidavX99vJPrpp58eOnTI9O0azDLokyd/B/Knfy0COdpnWMk/QYSApbvFxjgQPqZMmTJxjdj8 Nt9y5cr5HmNBk1DR0xYvXlyZFBxJxhhysLjQNqZMpNo2N5S8CowocslVYPrGD1YGjdp75FLznhfr dgrU7+YPM2Pu3BNfj8jV2wI1VKXfq52GPDp5RnzAsmQAEbg9ZZ6lu+X+5j0BnJ161zAolpN+Y5Q4 1RH6W8IsuPAfxIbZUY8ePTZu3GgiuQ4ZMsQZ25dffhnVAsKoYgPM/4VT+Ut/4t+yZUvTt32wMujd hWtOvp31xP+lCNTvbIHaj06fF1yPJ48eX/vux0ANVek3PEWJqO0WRlgWhEIWE0HgUtNvLd0tt2cs EBlGQMpER0cHxGXQn0d5QPoC1ZEjR5J11YVB165dS+RbRDSC3xIF172ApsTpscDRo0ddvFZ4lEUY nTZtGvS5evVq9bD1VkCUPXt207e0ZFCDHByWpOiDQ6IORjF3I5GYLT0TNRuXDGr6x2Ndg3GZQTGY tOL0jGVtYij0/r//4LChLtIRddbFgwUmIzEn2UuUVKD832+++UYXg1I4NDQUZSwR+9xNkypXruwC O10wagJO5c+fn9Qufl4UTKsYsLmfrWRQgwwa8lKa+xt3CS5G9NUbESUba5KcpQUkgwoulh2KxWUG 5UT288EajN3xyugi+eGdQuQdb3OBushW5hxFgf8N7WXMmNGRSRv3EgREl2bJvkJM+d9++81jEtDZ s2fje0qnOJhip+NSF2MicrnYB15eZNesWWPuBy4Z1CCDwnbiqrDHFy6fzlTRUoLUbFwyqLlfjqWt xWUGJa+Zfc7cQI0EVnMOgOA+DHKWuVOdug0zjqGQqEPEnD9/vqK8dTSeKFEid5qEBSkDEZLR7Pjx 4y6djhs3TnHrRKDs1KmTy7+iyC1atGigMHTvl0EOGzbM3C9XMqhxBr3W43vBxXh0OiL047yaJGdp Acmggotlh2KSQe1z7PpzJBzx5CdBviT1JjF04seP7633Dh06uL8+duvWzSFQulTE5JVU2EuWLCHm sGLFg3eHS+FcuXIdO3bMuVlSmlSoUEFpirQq5CNz6RT9reOxk7yhiKouYm7fvn39Zm0rslIolnlo N/EblwxqnEHPV/5ScCUeHjlpKTuKNC4ZVHCx7FBMMqjIaRibysCdCHnNmzdHClTCvhNzoGnTph5D IjBxfDrdGZSULK+99ppHWMiR6SgPLyKK8fzp8hIJu7g4nCxcuBCiVRrkkZX2XTrt2rWrozv4uECB Ai6un7yzJk6cWH2lmGPWLJlq1azWuGHdbFkzOxfmnyBgb9cCAxsgT548qLtN/MYlgxpn0NMZyguu xL1lG0VIztIykkEFF8sOxSSDGjgcg7pKunTpcCbh0dGZomBT5ZXR/Q+hbt0ZFEtaj6HyPv74Y5Sx LsIlj6AInY6WUdV27tzZuQyDadeunYPCKUBwXRUGVViWRmBoRzFEUs282W+++ca4MSPPnjp86VzI 0MH9nGXWTBkzTJww+qvWzVOmTG6K5RGOUjwTmPiNSwY1zqAhr2Z4EvVAZDFuTfjFUnYUaVwyqNpK RUfj3Rtz+65VP1yHY2JEtopSRjJoUNOhgcF/9tlnZKRx4SesW7t06eKxNYLvuzPo4sWLEyRI4FIe Cvz6669duJm6CIsJEyZ0FMbKBrMg5zbJ5ZIqVSrn1kg5d+rUKecyzjKoQ9lL4hfK8OC6efNmHked kwTAgvE/jleqRLHkyZI6Wn7rrTdnTpsIffL7bc60BP/VXTOkft/1vHj2xPnTx1YuXZAqZQoDwLpU YTComsW/RM2SkkF9YNCX0z08HqYJMQWudh0mQnKWlpEMqrJSj0LPXukw6GKjbhb9rrQbGH1Rhxm9 ZFDfz8rgagHZcfz48e6kiMD0ySefuNOAe2AE6uJkCRO7FOZvHHlanNvnqdW55Kuvvorhj3OBoUOH ujSVJUsWaFWdQamCppQ3V2LHu+hvX/7PfypVKPvbnOlnQv8a2K8noqfSvjODbl6/PPV/mZJn4AN7 tijMOmfm5HgffeT7mkLhP/zwA5EjRc5tkTKSQX1g0BdT312wWgTl89XbWsqOIo1LBlVZKWJNnPq0 gAiMxsqcSpDv4Ylwka0iZdC4aYuLjpSIOe6+mGhEya+C96czeSRJkoS8K+50ixRL1CEXmunYsaPH fNokb3EuiQKWoHfYGfEUiuyL9tU94gECros22F0GpU1Gy+upuwERb7SDBvRRGDHkyN4ypUsoA3jn nbcX/D5b+Xt0uXnz/KNbbtywnvKX/IYM/M5Zi8tooXxjhIpYHBUVJf4xqpeUDGqcQU+8kPr64Iki K3EmV3VjJ6+JtSSDSgZ1bCdxRyyR7W1umbjJoJAB3iYeI7ADCN6WzmzB+6WLvKiw6cmTJ3lPdS5J mKGQkBB3rkWpi++KOwMRlqFu3bp4hQ4YMMCdAvmbiRMnOkdO8MigKsRWulTxowd3KqS4c+vaj+M9 FSs/+OD9LRtWOMiyWZOG/OVHH324esVC5S9PHd9fr84XjmaTJ086e+bkX2dPS5P6X0pmQUKtUaMG 9wOzNq1kUB8Y9LmURBrSXIknDx+d+qyQiVxorCnJoJJBg4JBDx8+LHgUxrJieIMsW7bMne0QCjGC dc5hwnukR16krjPXIrSRFNOjAIpbi0roRIRIbxIeiVbwaZk5c+aIESMQjvEo1bUK+OosnD9X4cUL Z44P6Nvr9ddfc2HQgf170WaN6pVDju5VSv61f3vuXDmVjlKnSoke+J9H07nTkyZNomsAFEbJbGKa M8mgPjDo/6WIKN/i72gNC5FHoWdC4wfYGVTGxVW/6EgtruZF0G8F7t+/7/Cg0Hs42rk8FFizZk0C w3rL54XPRp8+fZz9KR1sSsB3nE8csyMp2Llz59y5lr8hC6ajGKKqy7OlUgUhkuh93oaBgrRUqVIY 0HqMEch7LUyPPQ7uoZqJyZBZS5csli5dGodBL3Ns2bwxlkEKBR4+sKPN1y0xtQ09ts8hg0Kc61cv 3r97MzZEyl/u2LKGWIDMK02qlAvm/eyovmbFwnfffUfvoqMDP3PGtBwbkkF9YtAzuWo8PnNB/XC5 v3lv6Ac5jAmOJtaSMqiUQYNCBsXKg7Qeprgu6D1brSsPG7Vu3RpDViLTIsahLPXYF+KRt7C0kyZN csQu4MUUKcojg+JRqrSMEInTp8cyDKNkyZIeB4Bg2rZtWwbJ+ytNGX5rVBpvUK/WyaP7Du3b2qhB XbSyilsnXHjkwA4HX4r8jw1rlnzySYKUKZKvWrrAUf7E4T1FChcwtmQEVzLrRigZ1CcGPZ227IMD R9UX48685SffzmIiFxprSjKoZNCgYFCWadu2be42pcbOSpvUwpOSeL8KnyEA4bjpMWgfgh1vmR5p j78vXbo0/ieVKlXCjNajqErFGTNmIHrCtdgBOXp0aXD9+vXuBkcAhe/pwIEDHdIt1Zs0aWI4ohD6 1YN7/7GkhUenThqbJs0/z5ajRgwSIU5HmbATBxbMm71q+QKHVIoYOqBfT2/hIzQXfdWqVZJBA5zd TDmMTn2c596S9eqLcX3YlJBX0hujPRNrSQaVDBosDHr79m3ivpoYiUbzSLWuAAyE1auLGyVPmxi1 Zs6c2V3UnjVrlkcGRfUKt4WFhaHR9fi0qdRChCXmzpEjR9y9Sx0qXILZuvTLf6ZOnZohuUjANIUv qaa21iN6PKb+NG70mdCncRKUV8+9Ozc2bVS/csXyB/du1cWgLoXh0Xm/zEiU6H9+O1gyv/H66y8K J3vhniEZ1BYMevL1jLenL1BfjCudBoe8kNpELjTWlGRQyaDBwqCsFDHQnT3xrWM4q1sm0N2JEyc8 kuL27dsRKF3i9pH5y2Nhs/4SK9zatWs7zxqCRLr1GKKBTi9fvpwtWzZjKKG5HTlsIN6fDgpEdjx/ 5rgv9End44d358zxz5DgzkSJPm9Yv/bggX3T/Dv+g8qYMbCSDGoLBuVIujFs8t8xXv1zn0Q9vFin kzHOM7eWZFDJoEHEoBzcJN4ydnDbqhZRBTB89cZ/CItIqP+KY5cpk0dPFbMYFB2yS6ADVLUMwz27 p9Ij0RgwoDUMabyPPiRin4+U6VJ907rliv42bZrU3/X+ZtWyBeEhh5Bx+/f9VnCcaDgkg9qFQS+3 6h1zL9LbehCJJqJUE3O50FhrkkElgwYRg7JY3333neCBaPNiKEgRN71RIIpTohHhuMks0KaSmGXX rl1m8aV7O0TaU4R7lOTx4sXj4dObThhO5UFar7+K+1q8/tpr43/8PiL8qFk8iiA7acIPf/4xh/AL jpdRGqeLhAn/iYOvviUAWTKoXRiUDC3R1296W4+HJ8LsEE5BerNIbxbni5edIyo4VoqXPMOmInbj 1IoVK/KmqMKLc+bMKVSoEMlY3PNUm8umpHwhrB0Bb5MnT45FErK+t/axJCKji7fkMN4QxtelbOmS GTOmJ1afo0zBAnnxTjGLQT22Q5CjkcMHOmLqqm8Api8Z1C4MeiZL5ccRl7ytR9TuQ2EpSxqTGs2t 5VcZNOYJcSSeREbF3L0Xfe3G/U27b/+86OaYWdf7jbvUstelpj2U3+Wv+l4fMom/vz1zQeS6HQ+O nHwa2P1u5JP7UVTXdLQ16xugHekP6gLmk+hosiYQbf/h0dC7v69gja52HuJYNf6Tv4zae4QCTxfr 8eO/zQs06hgJ9kSQit240Nh48GYhRrwKXWFbRG7OiIgIc/nSY2sIncjEuIp6M+ilFuPBZ9SjS6g6 AtWrVj64Z8uubetw1vxp3Kj2bb8sXLhgl07tnF9D3SkQURIJMjzkYNizH8IlWllBxqUk0XSrV630 9rNc3yJ/MGmO0ZPpQeWokd4sPnmzQHKkzn50ymvCuchVW0M/zGkuFxprzQ8MyplL+IjItdtvjp97 uUWvs3lqPs0r/nxKXQMOS1TkbME6l1v2ujFsCnbOUbv/ekxMdlOT4rp/D5JB/8EkOpps8PeWb7ze f3xEycahH+VWX7vQd7KdzVvravcRd39f+TAk/Om9x7w/ZEImC6ZeGUjkAA1IGTxM8HN1ScDpB740 0AXOoETvM+DHwmKNHD7IWbMqwoKhx/bPnTWlVcum6XjYTJWSX6WK5YYN7rdv5yb16nREuKIRQwd8 /HE8XWuK+hqrZlO2qmRQXxmUI+bBfq8uoXf/WBnyUhpdFGJRYUsZ9PG5i7enz7/YpPvZfLVCP8pl 1hTIHxeeomREmWZX2g+8Pe2P6MvXTNn0kkE9aHGfPHlwOORaj+/PFa4X+r7uACAnX890NncNchDd 37b/iUm3e5Zp7dq17um6dJ2VtipMnk7SpxigNH9W4fmT4IIuec0EYcSfddiQ/uLiIwQZcmRP86YN sdp16QLxt2jhgssW/a5CoieO7KlYvqwj0ITgICmGbZRZQRUkg5rAoHd+Xeb5ZI+Jufnjz2bRiY/t mM6gTx49jr5y/d7SDReqtwlLXOTkm5lPPKdP3NQxoxdS0X5YsuIXarW/t2JT9NUbTzWH5v2JyzIo SD4MOX31mxGn4ucNeSmtjkV55hLt/OOyiNhKsGgS0ZiyQLwdEgNW/GS0f0kMc0ir4s3w1Z9M6a0v HmJz5syJl4gBMKlFmL1yZUv9Omf60UM7NYVRovoRt8ibrhhbp4wZ0i3581dv7Rw7tCtnzuxvv/3W 2/x56y0iKL3yCinU/qPpSUxMqC1btphyfkgGNYFBrw+c4HExnjx6dLXLUF+OJBPrmsmg0TFYSN0Y MvFMzuohL/rb1TXk+VRIujdGTnukFU/R2xcSuXbb3cXrnH9ojEM/sFDZHvpe9psTfnHpVPnPB/s8 KDD8lh+Uh+eb42aHpylz4vlUJm427jo3x/4cc9+EHFLdunWLNYpcOAmOKV++vDcP0YAzKPH8qlWr ZoA7XaqgAc6dK8eY0cN2bFnrTSQ9f/p4n57aT62lShQnpJFHSZSn0xWLf5817adZ0ydNnzJ+4IA+ vXt2a/NVy/fee2psrPIHwiV8hGTQrCZ+8740dalRN88MGvXgYp2OvrRsYl2zGBTLEZ45z+aqEfJi ILXTIf9Je7ZI/Tu/LX/y4KHeL+FMtiqhH+Zy/p18J5u5FOK6cM+ngkRdOlX+83Lr79zH7x8GfRR2 DnnxqfLATZr0/W9o9mqP72FovavjUn7RokUeA+D5fspb0QIiJtEJOKBVGkfkIjRuwMnSfQDE2iUt trr9M2tRsGDBokWLigQuRr9ar26t43/t9sh/2Bbx5Km5CsiUK5fOF3lPVcr8tX9b8mRJJYNqfHd3 F9rFFpez5lyxBh6HG3PvPtKS74eRKS34zqDYiTw8dOJc4fohL6czZUi+NvJcCo7py637PL5wRdcx HZakqK9dm0c5F+t19j+D3pr0W+SKTaczlD/xgpmip6tS9+X0l1v18fH1GsPRYEnVAvcQfwAeIvXY 1KlTyUNJQhW8O9xlaN7hyGVtKxJFsfzHH3/wUuvCPQjNjJY4uoRPmjx5MrEXmCBxZXGG0SQ/Erk0 aVTvpFPeFWciXLdqsaa6Vemic8e24gyKyhfdr/rYuAcQ9ErXoeGtsNTimqDFDUtSxDOD3r4blqiw TQ5rHxkUUe/WhLnY9Vj42GmUli580f7hcR2WdZJBI0o3PfVZQT/sTBQV+CzF3PJJEi1XrpzmYW2H AhUqVHBxRyEcPD6XHTt2LFGihCOyD0Tbr18/W9Eng4FBeRokVK8Dyfjx4/MITaqWX3/9lTBJzq4v uOUQfdCd/4iFGy/eR7lzZq9WtVLrlk1++H4oaVUcychcWHDGlPGCq1axQjlNBqWXQ/u2LVn429RJ 45ImSazeMmoA7KIlg9pFixsaL7fHHGfR12/ZxBCXs9IXBsVN5VrP0egh/XDmGugCkM9XbCX+LCoZ 1FqVtYt50avpr303BrszwwfWyJEjBY/aABbj5Y+MKx49LIk6hOXnunXryEpNWrHKlSvj+mk3BmU8 iPs//vgjWXG4CjBUBgxxeotYRJ5t+NIZcP6TLGYrlvyxe9t6cnxqWuTiryK4XpW8M+ixQ7tnTP2p ZbPGJYoXzZQxQ6LPP/vg/fc1NcySQf+2lRYXaonaus/9gCDxmQE+sKiKYQbFHRNXet4dLRqYWc1i 1oQvo8gxLRnULMwF2zn5brZbU/8gSoPI6riXITiRAdd+wdPZrGK8Dloaz9aGjOsScZ4Hy+5dO2oK i44Ca1cuFAS/edNG3pr9efokKFOwHUcxyaD2YtCTb2Qi5o77l3930VrBI8YPxYwxKHZDl5p9i1+m H0boaxfPpbxQve3j0+c1j2nJoL5CrV/fHp6h/COBpfG4dvi02DzKPOTRt2/foIiWYCITf//9987U 9fxzzzVuWE+cQQmkkDhxIhHymz51vLdmVy//s1SJYi+++IJIO5JB//d92UoGxbLm+uBJ7h//jR9m +v+o8tajAQbFkJJQBvaXPh1TZiEutegVc+OWOolKBg3Atnw+5bVvRxkL/kd4v/r16+s6Iv1cGAZt 3br1gQMH/ECiPFgSM4hcoeQc3bhx48KFC7HrQfwl6QqpQ/0wAEXfi0NOq1atXBS5WTJn6tu7h/Nv xLCBJw7v8ch/eLMgs6on9eSpNVvWzJjXemNQHFr+2rdt8k9jChXM98477wi6sUoZ1F4yKMY1eAW4 n9pX2g0MwFHlRT7Qy6AYEl/rOSrktWCQPp2mTEyAG6NnSga1z8ZzjCTs80IPj53S1BC4FyC8H3Yf mo9bfmZN9+4wT2Wc8Kh1AROw4CUGPdY92bNnd9FsJ02alPj1vF/u3LnTJVG2iXInTe3du3fAgAFJ kiQRsaSFYhcv+MUb/+3btYk3ThcadgY2caLPf507XTMyA+2fCz9KJN5aX1RPkjiRJo9KBrUZg/5f ivOVv3J3fYso29w+B5leBiXSqYnx+fyJAyf1g72HVU5qKYP6czkcfZ18LePNHzQuN95WDdpQd7IM OH0qA0AYzZ8//+jRo3H5MJe3EPtwjSXcAZKWymQZAPa0PXv2REI1dwC0huA7ZcqUPHny0Isg4ClT JF+7arGKanfHljWlS5Xw2NpnnyUkTgJR5sU1w+EnDzVuVE8yqPY91VZaXM6Ic4XqPj7zrxe4J4+j z2StHJCjymOnuhiUbDNhiW3kNKkPxudTXajbCUNob9tIMqg+PPW/enpu/7kUZJuPuXVH+/N2K0Eu EREHRMFj3dJiSGb4q+TLlw/3SkL8mEJjOMl0794dfxhNblCmhowFz5EK1Jslra5RIVKjIp43b16O HDkIkiAiejIGfC4xzd22aZWmUe6RAzsH9e+dPVvWTz5J8EmC+PxSp075VesW2zevUal7/szx3dvX kwfm5NG9juSjB3ZvLlKogOb6ShnUdjJoeNqyLnLP47MXwlOVCsxR5enIE2dQ9LfkICN4nn0Gr3ck hOi7O3+Vt1c3yaB68TSr/NmCdR+FC9lLu3AoVMTxrXky2qoAYVrLli27ZMkSUnLqYiyXwsRnIIaR iqrT46zhOeI5/PbbbyopzERGhUJ47ty5yL7iuVrRtxNsaMSwAeKyIyXPhh1BHt2+aRW/UC9BGJwb xIYIQ6SMGTNUq1Kxa+f2Y38YvvCPubOmTfzgA23TXMmgtmPQU5/mv79uh/NnH7XnL/uEU+AEFGfQ e8s3nUqQz6xDM1DtXKjR9sm9SI/ijmTQQC0K8XKjVBXs3sTT+/fvFy9e3FYEKTIYaOzzzz+vU6cO 0eRF6Mq9zKVLl8jTSc4Tke7cy6ROnZpnS2NdQ73EWCDpt3ugIvXBlCtTijh858KO6GJQvYXH/jDi rTf/SeINzq+//trnn3+G0lgEKMmgtmNQnPrv/PavDC33lm04FS9PoI4q934FGfTJ3ciLzXraZ9jG R/J8Km9Z5ySDGkfVN40umVvub95tQItLFYLgiByONizD+Z47d25jNDZp0iQfA+vzLosUa6D3pUuX ookV1Bs7w16/bq2I8GMKI6KGPXpw54J5s8f9MDL0+AG9NKlSniBE33br9OYbbxhYcd7U58+fb2wf utSSUf1MiOqnnEc3R89wzox4a+rvJ9/OEqijyjCDkumTVGUWDvulNKc+ye+fyLrX+4+TMqjmUoa8 ki6Uq94LfsqxQ9Z0YycXSVoMnOYGjlcrqjRr1swAh+Gjkj59eh/Hg/w6cOBAAw+ivD2rWy15G1iC BB8vemZ/i6J1QN9e5cs+DbWPFhqp0UQGpamwkIPkFjUQbUPmZrGdDMo5dbXHSNKZOU4HUp6d8C3b oubZp6uAoAxKSnBLQr49lzIsUZHrA8bfX7/jwYFj91ZtvVi3s9WZ0c4VaeDxKVTKoE93znMp0NXj cEU4rQf7jtxdsCqiZGNLA80r2/XWxF+NeYX+8MMP9ndocScVWJ8/EyZM0Mug2O/079+fYIE+MijV eUImrpPeAcDf2EOBOeMXtB5ShkqVgvnzfVGjKr4or736qvKXNDJ10lgfGRS3Fp5LsSFytHNg75Ya 1SvrFdNhUPxojd3kpAxqmtDpQmCEZsUGR8EXQ1xiEehiOKsLCzLopSbdrRgJIfeiL1113nxAdGP4 lJPvWhhrNyxp0Ufh59y/E8mgLHFY0mL3N+xyBof475fbDrA6gMb1QT/9HfPEwOE1e/ZsOzMokhB5 m0kjg81whgwZSFJNWPYyZcp8+eWXRJY3EPDv4MGDEJjv9Km0QMxevQxK3IaVK1cSlJjx161bt1Sp UoyHSH4pUqTgcZecM+KvswigTRrWDQ855CODzps7PUP6dG2/bkUUBUdTZ04d/qJmFV36CayaiVRs YBO6V5FaXNMI9UyOag6X0Ohbd8haZQUVGW5TkEFPZ6xguAuVijdGTP3bLSxq9M3boGSd0S8y1v0t e9w3/bU+Yy5/3c/5d6F6G0IzWjFxpc2Tr2dE5nbpVPnP2zM9ZPq1Oj8oQ7rWz4OK+6kOP2kx63Cg Zab8d3SMgcPLngxKAq9atWqhJkVEnjVrFnmb165du2vXLmLH++gSunjxYljKLAYlN5leBnUpj0wc FhZ26NCh9evX80TKciBYE0GiXbt26oNEfs2cKeP6NUscnEfc+e2bV2t6ubjTbacObRRxtlLFcksX /uZo4dvunXXdruLFi4e/rIFNKBnUNL50P2XIlhx97aYCMSfRuRKNDJ5Ez6U0WFHVykOEQR+dPHMq fl7Tew99O+u9RWs97tc7Py+yKMMzswh9/5lPi9sfgv3GRN53/t1fv5PXWdMn7mgQVB8cOO7SqfKf Tx78T/PvGKnlDPpC6oeHQzyuyIVaHazDgZYv1O7gfpcSOct2796t16PDLPpRaSdx4sTQielBiGgQ StalO1WfbIIECXxkUG/VcRVV75pLBvpbR46zUycO1KxRhchBImHoqeVMtAvnz333WUAJ+PKzhJ/2 7d2dkIE/z5j0oc6rRsKECR85vbiJbD9vZaQMaianPgo9qwBNukrD4RRQbFphaCPCoPeWbAh9J5vp B+ipREW8WWA+DAkPtYCz/yv5Zbo5drbI5xG1/cCpTwuYPvH/MWiCfA9PhIuMRCljNYOGpSgeffWG x/GgLbAOB1o+X/lLYwyK9GNDBiW4HWFpTScnDH/wATXxBgAZmxXewWWyBONVH2ejhnUc0uTBPVvr 1flC0bgWK1rY8feERDh6aOeRgzuck4luXLus17ddp00e53CMOXxgR5nS/wtgxPNnjhzZPv0kgV6g iIko/jGql5QM+i8GxbYlxAejxMj1OxW4o/YdMewMGp6uXOi75tOYCIPeHDsn5LWMph+gaIYfHPT8 6kDibsNAaY6T9M7Xev0g8qnENQaNKN7IPQilAtSdecs1gfWlwOlsVY3lCo1TDEocg6pVq+olBpXy MCjOnaYzPQ1qMmipksWPHdoFWYYc2VO/bu3XXvvHtqhju6+cMp0tqlK5QvWqlfbs2OD4y759vmVG CRLEX7tqkfKXBKMf2L+3+PurN0DAVuRYECkjGfRfDBqaIF/ox8adOG+MnKaAjo1GyCvpjRw0z6U8 V6yhFapUEQbFkMQKQ9yz+Wo9OuXBokfB6pyV0YOx5xKx/IxrDHqxQdeYyCiPBwRb18i+FfYT5YIo GVSTyaxg0G3btmn2a6CAJoOicS1SuMDCP+bUrF71pZdedNjrTp8yTuFFRMzOHdsimH704Ydzf57q wqCUL1q4INKn8vcIpsmTJ/XxbkHcYBF2FCkjGfRfDBqevlx4mtKGTxB8AxTQCcturJGQNzJdqNXe ipBAmgyKOIi1i7Fhq9c6V7LJ40vXvG3H89XaWNGp0ubFRt0cBtIq30NcY9Cr34x48tDD+ysQPQo7 Z91y0LJkUBGWQovbsGFDH3nCuToyKHZAIl3rLaPJoMowsIpy9jmJH//jdf+NOE8w25QpU1AGe+Y+ vbq7M+irr77SrXP70yf/MeWtWrmij8jMnGkww4H7GSIZ9F8Meq5w/bP5axs+Qc6Xb6FAfHOUwcyg PAoiNgWEQXkYi6jQ0vDcVSqqM+jVTkOs6FRp83z1tioh5h3fQ1xj0KcuJY8fe7xS2JZByUyi1+3P x3NWpLpF76BE1OvTp4/IAATLvPvuu3qpUbC8IIO6jDNb1iy7t61TyHLKxB8VS1povmnjBnh8Kn+v aHGVP9gNLfj957ATB0ePGJw8eTLBWXsrhlWaiHwpUkYy6L8YNKJU0/PV2xjWZJ5OXx5JDtwvt+xt jBUIHErYgYAwKGZQ5/LVMjZsX2TQa71GW9Gp0mZE6aaPz1/W/BLiGoPenrHAGyaPTp+3NClsyKvp vYm/6ss0bdo0XR4LPh6ygtU59D/88MOMGTMWKlSIuIOdOnUaNGgQudgw0MXrg+woRMQ9fPiwgZBA BIU3JZyCMpESJUoIMqKjGPbAOORgf8QL9J49e5jLihUr8LEZPnx4jx49EJGJm08mNXwrBbFyLlaq ZLFN65ahv0WyzJolk+OfypYuceS/CltnBqVAKoLeJk+qy+/T48BwZiXNquaZIFhAMqgrg17tOsyw KSz8xwH09G2vRGNjrHA6U0WCtgSEQR8ePnkmiyXp2NRlUEsZ9EzuGo9CtL8WyaCO8+LxhSthKUoY 272CtYwxaL9+/Xw/PQ2c9caqQPZQy2effYbZZ4ECBXAP1UtgJMrOlOl/1GJsGI5a0J7eARDU/scf f6xSpQqJ0ogRwVzINuPjMBzVcXHJnTvn1182J62K4qCi/EmXNs2W9SvcZVCz+qUd4kIwNUGC1Cwm GdSVQW+OmYX/u+BZ4FLsqQv/szgvCKPGWiD9072lGwLCoMRhP52urLFhq9e6ULujivEINwYrOlXa lAzqEVsVGdSeDPrkyRPC4ph4jPq5KVTQegkM7WijRo1MuTQkS5YMCVLvAIhHj+RqKVDcM2BlZ7fX N954vWzpkrlzZc+cKQPpQq3ovWXLlnfv3tWkRsECkkFdGfTeis0n385q7Ex3uPAb1gNf+KJD5Oqt AWHQyPU7rLABfmrO06Cryna8QyReYUtOvSVPpynjzZHGeUhSBrW5DIrQYGKIOyvOZfU2R4wYoZfA KI/WVG9mMfdh4ERLZEEDOUoJK0iGUf9jZWmPcPbo0aO5kAkSpGYxyaCuDPrwWFjo+zn0ntRKeR6Q boye8Tji0gmjcYXQIUsGNQa+x1rESYjacUDzM5AManMG3bBhA9F/LD1brWsc/8UxY8YYYFBeTxs3 buzjwAhja0AAZbShoaHI/eKJtX0cp3+q82hN5EXNA0G8gGRQVwbF78J4aNDnUl7pPDRq1yHDDHp7 yu8BY9B120/54AurQnvqMujtuUtMpExXvbpkUE/yfXBpcR8/fjxs2LD//Oc//jlkTezljTfeKFy4 8Ny5cyMiIgwwKFWwQiLBp2FdLjpSotdi2WugdyyJiNhHDhMGwCXAxBCDJiKstymelo8cOSJOkJol JYN6YNCI8i0Mn+mwxc1xcwwzaOSGnYFi0HuL15183ZLo6uoMaqklESmdo7bs1fwMpAxqZxn08uXL xYoV03tWBrY81IXaGYUhGU4MsJezQSxRA7NmzWqAwLDW6dKli48DYCTwKDI09lA29CbSu8oVKlQw 8RGUr0YyqAcGvdy6j2EGjSjV5FIr49WJ3RMoBr3z2zLDs1avGEAGDXkpTeTKLZJBXRYouGRQcmwh zOk9KwNYnhxn+LTgBGJM+HNhXBoh30uuXLl0zQip8bvvvjMxFu6BAwdokNxtBrhc18itK8wjKFPQ PA10FZAM6oFBb02Ya5hLzmSrQlg+Y9Xxovn7cXRcY9DLX/U1BpdgrXvLNmp+ElIGta0MGhUVVbRo UetOVRNbRkRLmjRp165dyQZ6/fp1X0RPl7ooVE+ePNm5c2cegzU1utw2kFnnzZtnwAlVfcxMisBG pAvFpdKGUf41l5KHAJ6ENU8DXQUkg3pg0Mi12wVPZ/dip+LnM2zKG5ay1N8xMXGNQQ1fOATXSDKo O1DBIoNGR0f//PPPQSGAxo8fv3nz5ps2bTKROF2aghGJ0kDOFtJcu2MCs2Imw7PrqFGjDCT0Fh82 PMo0W7du7budsCbnmVuAFG/mqnClFtc1tRkxibAkInWi4aSVIS+lNZzdhcgDhEGPawwanrKkIBca KyYZNHgZFCbAnd/+akMMVgk+YNhcSJy9KMm75r59+5YtW0Z26xYtWtR+9qd9+/Y//fTTunXrMJPR 1ZrhwrjHjB8/Prgk0S+++EKXfClSWMqgHmRQQoOGpzYeX97YQU+ty616xzUGjdr9V+hHuQwjJlLx zq/LNL8EqcW1oRYXWadatWrmSiEWtYb8h+MHTquGCSkYKzZt2tQiPK1oFh37H3/8oXkU6C0gGdQD gxKW5VzheiKns7llboyawfrFHRn0SXQ0QYBDXjaUBk44CMP1IRM1E5xJBrUhg2LIGkQiTsqUKVGx qhMhOctIMXbu3Dk78yV2Wzt27GCo6oNEBsVgygqqs6hNbKDM9WNRPhnJoB4YlOTDFxt3N5cdtVt7 LuXdReviCoMSFORu5O1pf4QlLqKNjDBZemxKMmgwanHxg0yVKpVFh6kVzSLiDBgwwN14B8EUb5DV q1djB0SMXEyN8G01187IRD7eu3cvIXAxFMqdOzfJYbZu3Xr27FnYFFMml14mTZoURM4tPAQQzO/e vXt6RUzN8pJBPTAoka+vdh9p9cnu0v7Jt7Pc3/g0pm6gZNB7KzefTl/Oit/VHt87b8Qn9x8QPfhi /S7+QVgyaNAx6J07d1q1ahVEB7RCyVD+iRMnFKbhTRSzz1mzZjVo0IC/d84qgzCEi6eJtGdWUwjH KGad5X7+N2lnsC4m28yuXbtwzFX6oiQhc+3/Pu24KpGdFONkTTo0UEAyqAcGBcebP84K+U8a/xzx Si8kxHhw4GgAGTTm5u0H+45a8Xt05mm+GuUPVlqXWvR8GvXp+VT+gVcyaNAxKIc1mUCskBQtbROa JAAQctvgwYMrVqxIUFmcMj32SMh4s2jPxHaAPUuWLB4H/M477/BP9evXHzt2LOqB+fPnY9dqKZjm Np4zZ04T87E4E61kUM8MSniBk+8ZjI5rjBjO5v3iUeiZADKogfuXaJUnT1CMR23dB3ee+iT/iRf8 xJ3KQkgGDS4GRcHfoUMHTa9Hc09Ys1p7880333//ffW8nu+99x65Tk1kPrOaQgVN7CGG5w0NFgWr Y/x2uN8E1wJxpzExmrxkUFcnFscRo3izPKWxDbv88ETnfLSdr9Dq8aWrsY9Bo2/cxhr2YsNuhh2E jN1IHLUkgwYXg8bExARvEHlNJkYq7d27N5mrzaI9c9vhyROdbdDpz9Vh506D/ln0uq+znJRBPcug D0+Enc5YwcezW1f1S82/jYl6EJsYFO68Nfm3iNJNQ/0rzbvALhk0uBiU4DuaPBS8BWrWrGlipD1z 6VNpjZQsqKCDF2H3kfOmTnICncwoWlwyqGcGjblx62y+Wroo0KfCL6S6+u0/5jaBsiQS3TJa5aKv 3SQ7zbW+P5JtNORFv74lS1tcwU1o55hE06dPj03Ht2Mu2N3wGucwNbKC/MxqE4vcIkWKBJee1tue Ibnb7t27tQ4t4/8uGdQzg4LohZrtBM8j34udfCMTGV2UZQxWBn3yhMSoHM0XvmhvUaZuYzhLGTS4 ZNCpU6fGSgblKCeQkLtbiFm0Z247hDcKLndPj3sGW+J27dpFRkYaZ0itmpJBvTLolY6DjR3ZBmqF fpjr3sK1QcmgPNA/evww5PS1PmPQe598J6uB6Vta5XKbfkQbVv8QZEQFBz6EE8Es3NIVwVtMZTli JYO+++67yNYqYQrwEDU9ELwKp5LvBWlYvUc8PsnRFtS3GSyeDh48qEWCPv27ZFCvDHpnzmLDaT71 HkCnEhZA8xlkDBoTg5vK3fmrLlT+MuQVa+MK6cXTufzFOh0lg7oAaGctbuxjUExz+/Xrp8JnkBkJ T/AcJaqRH4TUkJAQknxhUkuP5Czz1iMBeIkRERRh/T3SPM5FI0aM8IkeBSpLBvXKoPc37fYbg4Yn L/74zIUgYtDH5y/fHDPrXNEGgbKwFedUyaDBpcUlqlxQyz0ug+ccJ/K7t0h+sNfOnTsxLyLxFiVx IcXh0lJL3QsXLhBgHacUxkmnpC7fs2ePN3Ynlxmuq0G6HJkyZWKyAiToUxHJoF4Z9PHFK35j0NOZ Kj75r7WYnd9BGeSjMxeuD518OmP5k69nEqexAJaUDBpcDIpqMTZ5U+TIkQM5zyNFMVNeRjNnzuwc BghrI3jL3EdN59YIlpQ3b14HKWIuxAAWLFjgTcOM5TAhf4OORN9+++0ZM2bgGeUTPQpUlgzqlUFB j0h7/jn6z1ds5VgsmzJodMzDIydvjJwWnrKUfzAxqxfJoMHFoJx6+fLlC7oj2+OAsb8lKt7y5cvd A+HCZITOd4/sQ1w96+iTlqHt7t27u4yWTJ+DBg3ymJ2NUPjBFaCYqSHNk6sV+V6AAX0tIhlUjUHD 05U16xxXb+dKp8F2ZtCYu5G3Jv9+OmtlO793ekNYMmhwMSgfwrhx44IoK4s62SPkoU4kRq4zLxJh jkTZePq71yWUrqUMSuMEuUVEc+mauH2EgsIZ1Ll3hp0/f/6gu8189NFHx44d85UbxepLBlVj0It1 O/uHQW+OnmlPBn0SGUXEed47Q17P6B8oTO9FMmjQMSjCUKVKlWKHPyL0gySaOnXqDRs2IInyB6mu SpUqHq8IPE+SNcwjgx46dIh82kOHDl2zZs3x48e9mf/AHKhkSauClRBVPDaFuydZYtx5kSGVK1eO 6LhY6lJx7dq1xMINulUg6hNmzxbF8HNnVcmgagzqtwwtd5dssCGDPgqPIK0Kvqqms5o/G5QMGnQM yrfA8Z0wYcKgk368DRgShY1WrFjx66+/ZsuWzRstQWDePEy++eYbR+NNmjTxRrQEf1eKYSVEfD6P r5tYKmHc5C2zCuT6559/YhXM+2jQ4c+smzVrxg1ATIA0oZRkUDUGvTX1d/+c9UpMeVvZ4j7YeySi eKOQV9JZikDIf9KdzfeFpV1IBg1GBn306BEeIEF3gqsMGNYkqIJ6mAIeIxX5z+XPX3/95fxiWrp0 aRd1q6O88xMy75cbN270KIYOGTLEW/h7mJX8oKRgCzrpE/DTpUuH5O03AZQTWzKoGoNGrt8R8p+0 lp7vNH7ytYzRV6/bh0GfREdHrtoa+l52ayf+XMrwtGXu/LL09twllnYkGTQYGZTPISoqChJ1f7GL TbTqPBccNPHkcSc8REYiuzpnGIUmUeS6l+R51SU9GXZJuHW6l0RVS8rMWIYkWWVwDTJBrtTThGRQ NQZ9sPdw2GcFLT3fafx0hvIxt+7Yh0Ef7D92OnMly2edsULk+p1/R0ff+WOlpX1JBg1SBuWL4LUP sSyOkGjhwoWPHDniznZLlixxyZaKgOjRQwbxy8VuFmMl4vO5t4muGDeb2MSgRH7gkVgP95lTVjKo GoM+Onn6TM4alp7vNB5RrgXGrjZhUEZyuXUfayPCP5/qXLGGUbv/icEkGdT9U77U9FtLd52dYxK5 oEFQU2xHoRBv73axgwZQmX799dcenV542nRRqCKtegyDsGXLlqRJk7oAUr16dfdm4VReSWMHdMzi 5Zdfbtu2LZMyhxX1tCIZVI1BH1++hqempWcZjV9q3uvJs7xmdngHfXDohNWmQ4Tsf3T6vGO+kkEl g2oeWZAo7hax5sR3nwjCIkZG7sIihrVYx7iXd3GPUSoirX7yyScuhWmZ2ALutrvYanlsOehARr/t Z+sh5+0qGVSNQWPuR11q0dNqBr0+eOLfj6NtwqA3Rk61dL5In4/P/I8+mbVkUMmgmgw6d+7c2M2g iRIlck98hiUt1rkeKY1gRu50C1O6+5giu+Ma5G55dPToUYIIBh1fugyY8FUEKeSpWHMLWVRAMqga g/795Mm1Ht+feD6lhaTyfKo7Py9yXt0AxiR68jj6bF7LLGNR3has8/DQcZetLBlUMqjm6TZmzJhg NA0V5yfU1MjZeHM6NK5IjRMnTvT2BkziFHcGBaU333zTvVP+cubMmY7yPIKSxhynycSJE4uP0IYl kaEbNmxIzGF/Gt+67FXJoKoM+vfftybPO/mWhbH9Qj/IeW/5Jpsw6MNDJ07Fy23RdeHUZ4Xub9zl flZKBpUMqsmgo0aNsuEJbu6QEKcIAThw4ED0q5cvX0ZGxLbIWxcYWLkzKIEUvIUUJqQDghp2uTh6 Uixr1qzOxr3mTsQ/rfH2CX360/XT4y6VDKrBoPcWrQv9KJdFpEKzYcmKRW3bZxMGxbfEuuvCtV6j sbyVDKrJFhSQlkQuKMUFBlWIh8BAuI3WqVOnZcuWhNfxxkaYHbkzqLpxUPv27evVq0eY+GDnTjAh eBOpswOovHXsT8mgGgz6YN+RsMRFrGPQM9mrPjwaahMGvdpzdMhLaayY7KlP8kdfuuqRPKQMKmVQ 9VsF5rht2rTxj2Rjk15QWasnqMHC1oVBUWbCuyrjp8HYoQnHWmratGkPHz4UuYxaXUYyqAaDRl++ Fp6mjBWkorQZUarJ40vX7MCg2ANfrNvJopmer9Ta2WPHeb6SQSWDqh9z9+7dIw67TbjNJsNIkyYN T6HOf3744YfcuXPbZHgWDQOrKGINzp8/32peFG9fMqgGg/4dE3Mma2WLeIVmL9Tu+OThIzswaPTV GxHlW1o002s9Rz159K9pOqYsGVQyqGRQvZSDQIlxsvMfbI5ih3eKNyigzwoVKhA14vF/UymL85x1 JSWDajGopY9SL6S60n6Qy+oGyhb34fGwMzmrW8GgBL+98+syb5tYMqhkUPUDDmsRlJZ6OUaWjzUI oHzG24cQj7biTmXTSgbVZtBrvX+wgldoM+TVDDd/+F9eM2VJAsWgD/YdPZ3WknyopxLkv792u2RQ 8YuwtCRyxgoL0lKlSsUaPpAT0YUAplXly5cnN9yDB/8LOyP+KVldUjKoNoPemb3IIgbF8PXuHytt IoNGbtyFvY8VMyVROQZZkkHFP2bJoJJBddFMrCyMvwq5VsaPH3/hwgXxb8fPJSWDajNo1P6jVvAK bZL/JGrXP+FhHQsfKBmURDSn4ue1YqZP7Y2PnZIMKv5tSwZ1xooDNG/evLGSJOSkPCLw6quv5smT Bxem27dvi381ASkpGVSbQaNv3OYlzwpqOfVxnugr/8trFlgt7r0Vm0LfzWbFNM8Vb/T4whXJoOJf uGRQZ6zCw8OTJUsmySYuIICFVIYMGQjGdOrUqZiYGPFPJlAlJYNqM2jM7bsWObSEJSpC4ECbaHHv zFt+4jlL4heeK+nqseM8ZWlJ5P7xSwaVDBoX+NJljiT97t69O1lOoz2FXgkUR6r3KxlUgEEj7+O1 aYlwVrSB+/IESot757dlVsyRNiWDnkqQ7+GJcPEjQDKoM1aII59++mkcZJS4NmWCJXXp0sUmoRIE v1bJoNoM+uTBQ1JmWsEuNBsXGPTCF+3BUGpxBb9JikkGdcaKeOsYZMY1Oomb8y1btqyd7YbcP2HJ oAIM+jj6+qCJVjDo9eFT4gKDXqzfxV1Z7Zi41OJKLa763YJ4dbly5YoF0VzjJinqmvXnn3++d+9e 8btmwEtKBtVmUBbpzrwVJ15IbTqJuruy0Ffs0+JGVGodfeuurWXQPYfDkhYzfX0dDUotrjO2LkG4 NA9BLEp27dpFpkyi0ug6jmXhoEOAe9K8efM0t4R9CkgGFWLQyFVbQz80O0PLcyk9eknGPga1/zvo w+OncLmRDMrBhNV0WIoS1kFBy3oZlFFBohEREYUKFYodsdGDjtj8OWByltmHIDVHIhlUiEEf7Dkc nrq0uccKriyPTp2NC1pcdQa9PWexucC6tHaxTkcOYPUv4WFI+JlcNawbhpRBfZFBHWsHidasWRNH e38e6LIvPyPw8ccf2zP8kMczRDKoEINCdWfz1TL3hD2docLjcxclg14fbMkbs2OxJIO679vbMxZ4 u1LYUwZ1jBbfUFJj+vlMl935GYEgegqVDCrEoM/ylrQwl0HxkHEPpxAr30G5fHiUtpVjkczb5gJr Rxk0fl6XLLDqMrG0xVXBh0DzZJ+WkqifWc2f3RFEXlN9apMCkkGFGJTVuvzldyeeNzPgwKUWvTym zIx976CnM1Z4cPC4tx0fFxg09L0ckSs3i3/zkkHVsbp27VqvXr3I5+XPY1325TcEihcvTlJY8e8l gCUlg4oy6LV+40JeNjO2H8zx5NHjuKDFxcw1ats+b7v8YsNusV4GDX03+73F68S/c8mgmlhFRkYO Hjw4dmfE9Btj2a2jFClSYH2tuQfsUEAyqCiD3pmz5ORbmc0660NeSH1z7GyPOyBQMmjkyi2h7+cw a4LO7YS+n/Peso3etvu50k2t6FTfO+jJ02dy17RuGCThuT17kfgHLxlUBCtIdMSIEfHixZNeLnaj QB/HQ3i/sWPHPnGLeCqyK/xcRjKoKIPe37znpHkEg2/M3QWr7cWgluVmgZmeXhc8GsQ+ehyeoqR1 1EXLIpZEjyMuWUrkZCa43n+c+LctGVQQK4w2f/nlF6w3fTyyZXW7IdCsWbM7d+4IboMAFpMMKsqg j8IjTn1sWvKvsCRF72/aHXcY9GLDrjGRUe7zfRQSblFKNV0yaPS1m+ertbGQyJ9LebllryePPSjt Pe4ByaDiZyJRyKdNm/bee+/ZjQPkeHxBIFu2bGfOnBHfBoEqKRlUlEFZofDkxc06ZDGueXj4pK0Y 9MGBY6fTlzNrgi7thLyS/vb0+S7RceHU6wPGh7yawaJOlWZFZFDLGfT/UpzJWY0MrDH3IkU+dcmg Iig5ykCiS5YsSZs2rS9HtqxrNwRYU13bICCFJYPqYNBzReqbddafLVAn+soNWzHoo5DTZ3NbGFUg NF7ua/3GRu08CI9GX78VtW3/1W7DT32S3yxIvbUjwqAksLtYp5O1I3khVXiKEpea9eDScGvCL/eW bYhcsy1y7fYHf53ALfhJ9L9iPkgG1XsaXrx4sUaNGnbjADkeXxBo1aqV3m3g//KSQXUwqIkZWiLK Nf/734emY+0DZUkUfflaRNnmlrJIyKvpwz4vfDpLpdPpy4d9VsiivOUG/EF5o73ydT9L5+5oPOSl NCffyEREKgIVcYHAUDmidNPom7edP37JoLqOwtDQ0EqVKr3++uu+nNeyrt0QIMq8/X1aJIPqYNAb w6eYc8jyKuYpr5lyagSKQen6qc+rNUm2zcHtmVZW709EBmXuV7sMNdffV3yc4alKoUaWDKqLNR2F iVKUL18+u53+cjy+I/DGG2+sWrXK2K7wWy3JoDoY9O6iteLHokpJXFlujJjqbY0DyKDXh0w8+YqZ Pq+mwOVjI4IMemP41JOvpvexL2PVJYMaPu9u3brVvHlzmfjMd7qyYQssa9euXQ3vDf9UlAyqg0Ef HAk98XwqY6ekc62QF1Pf/W25DRk0cvW20Pey+z5BW7UgyKC3pv6B12ZARi4Z1PBht3nz5qRJk9rw 9JdDMgWBAgUKnD592vD28ENFyaA6GPTR6fO8Xfl+yIb8J+2DQydsyKAxN25h7eL7BG3VgiCD4lwU Gt80byVdCEgGNXzSLV68+MMPPzTlsJaN2BCBjz76aOnSpYa3hx8qSgbVwaDY2mBDq+tw9FiY6IAx 3jNOB1CLy4a7WL+L7xO0VQuCDMqK4GIUkJFLBjV80kkGtSHtmTgk0sGiyLVzsjPJoHoY9NadC190 8P2QRZBVOTICy6C4WKBk9n2O9mlBkEFZkWvf/RiQYUsGNcygx48fx/XexCNbNmU3BNKkSYOrkuEd YnVFyaA6GBRHxivdRvh+yJ7NW8u2DPr44hW8TXyfo31aEGfQR2HnTiUs4P+RSwY1fMwhnXTs2FFa EtmN9swdj50tciWD6mDQv588uTFqhu8n7MW6nW3LoE8ePiKCqz/F0JNvZj5jJWeLM+iThw9JmBPy Yhrfl1hXC5JBDTMoFfFmSZQokblHtmzNVgi0bdvWlx1iaV3JoHoY9O+/7/y2/OQ72XSdj+6Fr/cb a1sGZWAPj506k6Oqj3MUrf5Cqqtdhl1pP1C0vGX+oMqKPD574XyFlqZYXIvPSDKoj2fchg0bUqZM KTO02Ir2TBxM4sSJL1y44OMmsai6ZFB9DBq5bkfY54XED0ePJYkQa2cG/Ts6+ua42YTO8XGaItWx zHp06qx9GJR1idq+PyxpUZHBm1VGMqiPp9vjx4+JoZo8eXITT23ZlH0QeOutt6ZPn+7jJrGoumRQ fQz64OBxX8OvP5+KCOO2ZtC//34SGRVRsrG1othzKWCOyFVbnty7bysGJcLfvRWbwhIX8Vt4Jsmg vp9ukOjGjRtJc4b1pn2OfjkSUxBAu9C4cWN7RviTDKqPQaMvXz9bqK4vwkdognwP9h21OYM+1eUe DT2bq7p1LEKGVCXt9pP7UfZiUMYU8wRlw1PPJb/EOJQM6juDKi0cOnSoXLlyL7/8sikHt2zEPgjw 1L1jh5rgYdYW0tuOZFB9DPrk0eOIci18YdDTWSo/DFGLshFYbxbHBnryOJqRWOQiefKdrDe+n/73 42ibMugzFB4eD7vYuLsfAhVJBtV7bKmUJ6lkr1693n//ffuc/nIkviOAamHIkCGksTNxq5jSlGRQ fQwK6Ffa9PdFvXmuaINH59Tcm2zCoE+3V0zM49MRF2q2C30/h4lR10+nLXv316VPoh4oO9iOMuh/ v62Ye/fvb9p1ofKXuPASScqXm5NKXcmgppxljkZwcdm6dWupUqVkthbfqcs+LaRLl+7OnTvmbhXf W5MMqptBb4ycdsKHmAMXG30Tc+eu/bW4jhHCIncXrr1Qo13ou76GzCWZ9rkSjTDVcZ6+nRn0H46P ibm/4+C13mPI/haeqiTuN+ZSqWRQ3w8y9xZ4NhswYMArr7xiHw6QI/ERgQULFlixVXxpUzKobgbl 9Y6wfIbPUJw3nqjqImwkgzrtrOirN+BRYv6dfNNg+PXwdGVvjplFNmmX/Wp/Bv1nwNExhJt4sO8I C3R33vIbw6aQK/tCrfZPf9XahKcr969f6tJoqgU3iWRQX44wlbrHjh176aWXfDy1ZXX7IFC2bFm7 2RMFK4OSnho14JP7Zv8ePiJsgsb3HONb148fW9u+N0wePEQr69NR9eQJj6PR12/enrHgUsOu2CSf +jS/ikDGPeNUvDynM1W4UK8z146Y+1HeBsDrsvlL6cCBNbXiD2CyEx4/fvpj/A8euv7E9ydL8+9d Zy0g9x/gsOQVElaZuZj+ZTk1aMVqeGwTwyL7nP5yJL4jQBaB33//nR3qty2k2VHQMqjmzGQBixF4 HB6BNHZr0m9Xe3x/qUXPC9XbnitUlx9uMBcbdrvScTC2QvcWrnUXOi0el2xeIvAPAsuXL/f91JYt 2AcB3FoaNGhw48YN+2xxyaD2WYugHUl0TMzdyOhrNwno8/R3/jJ5TogOGLTzkQOPJQjMnTvXPqe/ HIkpCHzwwQcrVqywzwYNMIPevRd5Miz8ROgpfqfPRVy7fsP5d/3mzUePtA/ie5GRLhWV/7x05YrS Mr+jJ0J27Nm3ddfuNZs2L1u99pS9s7baZ3/IkUgEgheBvXv3mnJqy0ZshUCWLFlu375tk20ZYAbd tH1nieq18pSpyK941VrVGrdw/tVs2qplp25tu/dW/zX4qr1LReU/K9ZrrLTML0eJckmz5/08c873 U6R7N1naiTN+tskCyGFIBCQCFiFw5MgRWx39cjCmIPDiiy8OHTqUKFQWbRtdzQaYQRetXPVByvQv xU/kz98rnyb9pv9gXTDJwhIBiUDQIXDq1KkECRKYcmrLRmyFAOEbZ8+eLaKhtHrTxgkGfTtJquzF y5apVf+L5q2btu/Mb/bvC6xGVrYvEZAIBBaBS5cuFSpUyFZHvxyMWQh89NFH+/btC+wGo3fbMeib iVOmL1DM+RcvdSYfJdQeA4ccPnb84uUrvJgGHHE5AImARMA/CERGRrZp08asI1u2YysE3njjjb/+ +ss/G0mllwAzaGj46QnTZ/66YNGaTVuOnwy9cu06FkC3bt92/l25dm3Lrt3fDhzKK+Z/EiTWy6YJ 0mWJevBPALmAwy0HIBGQCPgTgZ9//pncWLY6+uVgTEGgePHiV65c8ede8thXgBlU1/zXb96arVhp vQyK5tZWHri6piwLSwQkAr4gQKD5fPnymXJky0bsgwCB5vv27SvfQfV9GgTmHz995nvJ0+ki0f4j RuvrRpaWCEgEYgsCMTExI0eOlElD7UN+poyER9BFixbZYZMGkwwKXqfPnUubr4g4g778SZLFK1fb AWg5BomARCAgCNy/fz9v3rymHNyyEZsgkCdPnvDw8IBsJ5dOg4xBGX2pGnXFGTRemkxEUbAD0HIM EgGJQKAQWLNmTeLEiW1y+sth+IjACy+80KlTJ5vkCg0+Bm3UpoM4g2LT+9ex44H6bmW/EgGJgB0Q ePjw4aRJk4hL7uPZLavbAYFXX311x44ddthXjCH4GLRJu07iDFqyZp1zEedtgrUchkRAIhAoBLA6 GTx4sMy5bQcK9HEM+PgGahe59xt8DFq3VRtxBoVu7967Zx+45UgkAhKBQCHAg2iPHj3eeecdH09w WT2ACJDwddasWYHaQrGBQfOUqSTIoDiPftNvkHRlsc9ukyORCAQWAUh08uTJiRIlIk9WAGlAdm0Y gcKFC5+2U16QIJNBSfBMfD5BBn0naZrx02YG9ouVvUsEJAJ2Q2DTpk0lSpTgOc3wOW5dxXfffVdK yd7gJTjGTz/9hIeSfXZUkDHo+UuXMA4SZND46bJIVxb7bDU5EomATRBAL4Uc8/3338eLF886LtTV MjJxihQpunXrtnDhwipVquiqG3cK58iR4/x5e9m1BBmDEvkvVe6CggxKOrP9hw7b5KOVw5AISARs hQDuEBzH/fr1y549e0Ai//GkB4VnzZq1WbNmK1euvHfvHhm7YPeePXvGHVIUnylhMYjRaKstxGCC jEE3bNv+eeZcggyaoUCx6zdu2g1xOR6JgETAVghcuHCBx9H69esnS5ZM/EA3XBJ3xs8++6x69erf ffcdgXVu3nQ9o3r16mW48VhcMWPGjHfu3LHVzgk+Bl22eu0nGbIJMmj+cpXtBrccj0RAImBDBJD8 bt26dfDgwalTp1arVu29996D58yKBYiGltZeeeWVDBkydOzYcf78+fv377969aq3HNGSQd3vAbgh zZw504ZmoUEmg06cNfvdZGkFGfTLrj1s+K3KIUkEJAI2R+DBgwdr164dNmxY5cqV8+fPnzZt2k8+ +eTNN98UseCFd9EJk9k7derU6IerVq0KI65YsUI8kYhkUBcG5f6BhuD69es23DZBxqCDfxj72mfJ BRl06JjxNkRcDkkiIBEIFgQw++TgRjaFAmfMmEGQ+u7du7du3bpp06Zly5bFoFf5U6NGDf6SP99+ ++2oUaNwWFy6dOnevXvJDGNgpmQdMUv8jR1KXZTeW7ZsMYCkH6oEE4MiwnfrN0iQPim2bPU6PyAo u5AISATiDgIECMTkhwc5ZMpL//0Dy/KX/DEl39bEiRNJHx07yM/3Wbz44osDBw60SRRc930eTAx6 715k8w5dxBn0yPETcefDljOVCEgEYgcCvMUGxDbYd7YzvQVk8UqVKvFEbduVDSYGvXz1WtVGzQUZ 9OM0ma+7GbnZdhnkwCQCEgGJgIKAZFAHE6dKlWrr1q02NCBy7NVgYtCw02cKVqwmyKBZi5a+bT/T Z3lGSAQkAhIBdQQkgyoM+sEHH2C3bFv9rbKIwcSgh4+dyFiwuCCD1m75VeT9+/JblQhIBCQCwYUA JksysB/uK/3797f/wgUTg+49eChJtjyCDNr5u/68+dt/AeQIJQISAYmAMwLLly+PHz++6W+KQdQg 7isNGzbEZdb+GyOYGHTdpi2kWxFk0PHTZtkqALH9t4IcoURAImAHBNatW/fpp58GEeGZPlTCHAYF fQaZFnfOHwsE6fP1z5P/sXiZHT4GOQaJgERAIqALgTjOoHnz5r1x44YuxAJYOJhk0JHjJwoy6Cfp s67esCmAsMquJQISAbshgEknZikxMU/sNjCX8cRZBiXkU8GCBYlEYfMFch5eMDFoq87fCDJopsIl D/x1JIiWQQ5VIiARsAgBLApDToVt2bl7xi/zCMmyfrOtvSMAYcOGDQkTJjRdNWr/BkuXLn3y5EmL toFFzQYTg1ZrLOoMWqBC1VN2ymNu0eLJZiUCEgGPCMCafx09/vuiJf1GjGr0dft85Sp/njnnK58m 5QpOuOx7kZF2xu3w4cPkCrU/4Zk7wnz58h05EnxiTzAxaM6S5QRl0PJ1Gl65ds3OH4kcm0RAIuAj Ao+jo+9HRd25e/fq9esXLl0+ePjoL/MXdh8wuFL9JqnzFEqUOdeHqTK4hNF+P0X6xm073rx920DX aIAjI+9T9+q160R3UX78J3+JathAg96qhIeHE8veXH6yc2tkralTpw7Sp50jJ3hbrGBiUHFXloZf t+frMnFPy6bsj8C1Gzd37du/av3GWfP+mDb3N34zfp23eOXqQ0eP3b8fZf/xyxGKIABTrtm0mWX9 ed784WMntP+2zxfNWmcrXjZ+uizq1+vXP0tetErNP5etjHrwQKQjRxmI8/S5c0tXrx01cXKLjt3K 1KqfuUjJtPmKKL+yterzlz9Mmrp41Rp2mt7GPY4kTjEoieS6detmz7wrIvskmBhU0JUFXU3X7waI TF6WiQUIPHj4cOW6jV2+G1C2VoN0+YskzJj91WfKOn4vf5IkXupMRKdq0rbTui1bKRkL5hvHp/Dz 7wtS5MwfL02mVxMmE9RIUeyj1Bl7DBgSGn5aL3o79u7r2ndgoYrV46fNwnby1iNHE0Nip9X/qh3s fvfePb0dOZePOwyK2+uYMWNsmDdbfPmChkFv3LolyKBvJkr5/YRJ4hAEaUmuxjzn3Lx1++LlK/w4 HULDwv/3Cz8dceHi7bt3g3F2TO36jRunz0U8fPTI2/hx9j199tyPk6dlL1GWlLHKE5e3H2cfZep/ 2RYJJhg1RUG3iFFRUWcjzi9ft77/iNEV6jYqUb123VZfD/j+h3Wbt546fYYUEYZn9OvCxXCVOHey 9GnyFlq2Zp2u+CpQ4ObtOxu16fBByvTKheyVT5J8mDJDylwFeUuq0bQl/8SvVM26GQoWS5gxh0NX zBn1TtI0OUuWx5sOZa+xzUZOtHTp0tlZ7+r72NDc8vC5b98+b2nGDe8QP1cMGgY9eOSoIIO+lzzt 74uX+hlHP3QHX4adObNh6zZmN3riFEwk2nzTs8GX7UrXrMsvZe4CKXP978c7UMEK1UhlM/O33znL /DA8X7qAMnlSOnTk6OqNm2f/voCpfdGsVc4S5ZasWuOxWQ64eYuW5Ctb2fkkRU1H0EcO65I16ryX PJ37IcthWqNJy7MREb4MVdbVRGD3/gPfDhqau3RF9yWAjdB8tu3Ra+HylcYSPxw5HtJr8HDkQn6d +/RHhYvWwRuh0l3J6nW279krzmS8aBI9tG33XqSmUJqlkTT5Cnfp0x+9MTa9jx4/dkaAWazdvKXf iNFFKteAOx0jeTNxSjbblp27NOFyL4BMljVrVt9ZyrYtfPzxx2huz507ZwAcu1UJGgbduG27IINi PrB+yza7Ae3jeLAtJLt4jhJlk2XPy7fNjVjwGv5einTwK3aJPg7AxOonw8K4D81fsmzyz3N7Dx3R slM37vL5y1WB/xJnzY2thzI1lrtUzTphZ866dI1g2nvIiATpszr2wycZsnEo81L117HjZyLOn4mI 4AT3qOV7O0nqYWMnPHzoVbQ1cZpxsKnrN24iaKbLX1RdxcpVBo/tsrUbrNu8xYWQNEFDZHn06B8O gxev3bixaMWqeKkzevwc8patdCxEh30KNzl0sBjuOlQaHCa9hwzfd+iw+p5BIxJ+5iwUmzR7PsdI mGbafEUXrlipOSn3Arlz57Yt//k4sFy5cq1evZpcqgZgsWGVoGFQdqcgZ3C2clX0D9Z8/+fOX9h3 6K8/l69Eo4jMh6Wf8mvTvRchIDZt23H42PFr16/7OJ7bd+42bd9ZEAH3YuiaVDSiPo5NpPrs3+dn KVLy5U8S84P5HD/NGbXr0fuBk+nHrdt3mnfs+p8E/zxzJsma57thI2/dueMiZOw5cCh9gWIeG4ek T4aFi4w5FpfB4AV3r/Vbt02c+XO91m1QV2QpUkpZneQ58iPHf9N/0KbtO9FeCCrZWKNla9dnLFRC WRrB32sJk6Hj3bFnr4+2rD/N+NnlkRIKL16t1vlLl8QXkU+s/8jRvAE5HtGzFSt99IQOAqYvToPa Lb5EHeJAIGm2PAuWrdBr2Bj7GPSll17KnDnzlClT7gbn05K3jRQ0DDp19i+Cn+VnmXLyMYh/OcZK okhcuW4DqiTkJz4Sb2Pjg+RKXqt56zGTp0G0hkP13r0Xye2+VvMvUWENHTNu8A/jcGtLki23oFz+ 2mfJ0JEam6kpteA5jkvBFXQu9nGaTIf+K0BHRT0YOWHS+yn+0dAWqFBt7aYtzvzqGOqm7TuSZs/r rbvx02eZMqlgbIS3gBVr16P/zF++Cm/DKiuCMgAqHT72J17Z1WcKH0+d86sK4OrrnjpPYd4afPHR PHz8RIJ0Wf8n/CVIXLTKFygkxIMPYWU2ZtI0h/Kfzwr5FfWvgSU+fjIUyyPnDzN78TJ67/SxiUGJ NESAiC5duhw6dMgAnjavEjQM2nPQMMHzN2m2vNaBDgVCZpNmzilW9QseYJxvvnwzHDrVm7TkyokA Cmk5D/itJKmS58hHWCUyzDzybiDjbeT0i8KKn0Mm4MRBwKVNEVjQSk3/5TfrYNFsGVESe0jw4a3o 9c9TCBK/MjXAVETMtZs2f/rs0QvY85SthPOAx35xBa7aqJmKbREPpeIPY5pTEynA8kEz3Lpu3rp1 7vzF7bv3kuyW/LW42Ri+VIn061yGayViYrnaDT7NkN0BDrIadgO8oBeqWC1dvqJvJU7lsjTovRHm eJ/2psNAupo655dPM2YT2YfeyrA3uIwaNnw7djKU1w1H43wUu/cf1LXE85cuT5jhf++pOM5hcGAs MyX9Lli63FkMZbs2a9/l8WMd/nV58uTxUVlqh+ovvvgiziqEid+/f3+kvaNY6P2aHOWDhkFxVxD8 RLk4G4ZDveKNm7dm/vo7hnbuBMAHw6WeYLwPHjzEyAU7AkYLWxSqVL164xbQreO+nyBdlm59B7o/ 7xkbM0aGzvYL3iDiG8aa31gXZtWCKjCF3bZrz/hpMxu36YDpv7oBrfOByGsWsiYI85eAn6dMRW8v uygeNWNXcT5evHSZeXHY3bl7D8blZ5HPKA/Y3JnGT5uBMWr24mWdH7BhMnSY0+b+yux8VGOqrxFj 2LhtR7EqNZ3VAJiPYlbad/j3R0P+iaOGHMYrYAZPKXg/SpWRJwmPCXd37t3HW7uyLmxFtreu65Hz jiWnb8SFCwb22x9Lljna+TRDtsUrPRugeWuZPcO129EC23LK7LkGhuFcBRNx56mhONFl3lipUiU7 UKDhMaCzTZMmTY8ePZA7/XZH9HHJjFWPhQzKqWQMC/VaHHMYvjrsXJw/j1c+TVKlUTO0RgiXBBJT Ij/wsDT55zl8nLyVwhzYl36U+h8rfI6Y0l/Uw9zJ2CXXeZxo2EpUq615t6BHokxYAYuxNnEtwJio abvOryZU80JR5vVWopQc3xzuisSPYvzXPxd7/CwvX7navENXZFx1QAjwpmjViGiDdr1ivcb86rVu i00TP4LaDB/3Ez1OmjWHTpesWr1s9doToafwDtJ7FqC3b9m5W/r8RVXuCoh9uUtXGDt1hrFAOZr4 X7h8uffgEYmy5HbGBPrs0PM7trT7+xwHvcc72XvJ0v4waQoXROceI+9H1WzaSmk5T5lKs+bNx3wa g4AqDZuqq4g9LhAriwHBxctPLze6/jjG8HbS1Lxlsqzi1fk8O/Tq6zyeXKXKX/Y5M2WvISOc23w5 QWLMhq9dF0050qJFC8PsFfCKqKCHDRu2e/du8VUI3pJBw6CccZo8oRRAWjV3PdC/zZ2/kLu5R5dq yAmrQj57BJojx09gs8PfZCtWZseefc4EyRved8O/d/iN0dRnmXIgrQpaanibEdX7Dh8lcusHQHNh 8b01vFcLV6ousqxcODjXlJIIcx7V4OA/fe5vb2jRJy04GBSPPVwOXAaA9wJHOT+IBFNMfkhgaOw/ z5yLy9mGLdtEDuiz58/zYo2hk6DVNHxTu8VX3Cp8R9XRAnsDI1K8LN74r3WMMtMPUmYY8sNYbypT 9MzumCgV0XOSYdB5V+/afyB5zvzKv6KAURSn3DO4Dew/dBj1Ly+LIpvTsQTocqo1boFiQByHkNBT KIGVFuq0/ErvRYQn8xS5CjgG8GbiVNgl+a4S4Gbmsq94J968Y6fgvLp27Yr+E6dJHhEDzoiaA3j+ +effeOONRIkSNWrUaPHixZcvX/bxWBNEyQ7FgoZBOUNFjlrK4MlgIrK8HiGOOL9quAwDWRODPXpk 06CcVP4VIcl9DHfv3stbrpJzdQKdzFu4xMdYOdhY8ciqCY5eBuXd6/zFS/xOhIbtOXCQHz7meA4o v59/n89Bw2/izNnb9+wzDHi3fgNFdLloxZXLB4ihB/bYHSd7lQZNNXFwZlDelb/pNzBvmUqfpBd9 xsNz5rth33vUZzpGBRFCHiIjcSmD0RlWxIbBdK6Iy8cfi5ci/roQGAwx6qfJKuNnGw/9cby3wWco UMzZKGb9lq2JsuRSCrtH/CFiLTpqEiXpgoIB88zBI7EIDrA1rk2KJuOzzDl5XRap5SjDy/TX3/R0 vhlnLlLqwGET7jEeE0kR6UVQ7XTx4sUlS5YMHTq0SZMmxYoVS5ky5euvv67JZH4uAHG+//77OXLk aNmy5cSJE0+dOqUL/NhROBYyaL+Ro81aGx4+4WNikXg7Aj5OmxkLHeXChcmo4oWNz7g3MQXicQ51 /Z/4iTg0N27focvqwWV2vy1c7LiDexsnp9LX3b5VgYUBhIaH4zJEEBksd5BCKjdoWrhyDX65SlXA M4Qf0dQgMOWH7lHpC1OUXkOGGwb8lwULPUY/8DaRJm074tDisTsEU486dvemkuXIp8Rd4/wlKDka Wmx6B34/5vPMOUTOeoxrpv8yz9uUDxw+wrO3g7e4H6DV5/qSrkBREfkYwImQbhhPR0UeyD0ax2LO rU7/tID6WgWH7k4P6rv27nfYsmEQ6z5sCANlDB7JIsA6yvAdgbCIB0j42XOFK9WgIoZ7hBnRi9vx 0FCHDK30zraH+PW241KemBJ8I+5T5oatN3Au7x1nz55FIwqhEgAPIS9jxoxvvfWWn8nSuTvE4k8/ /bRatWqoatesWXPs2DGP9vA+Yhgs1WMhg6JxNQV9NDmDRv+oIt5xSjZr31khSwqjPVbuwt37D/HG iBcuXSpXu77zp0Uj2NTgRmZ4zCIMqmlJxIdKhCNeENFhqsT/dD8UuBAM+3G84cHDN+LyH6eSijkG QrPgMc17tsezHvOuKg2bvZFI4xmVXlLmLrht9x73VSa0Pa4LrCnKW4Sz9j2/Q3bHappz814k+baO laxe28VI22XM1OURUZcjo8tcuM8R8UcxWnb5JcuRF7NV9cWC84aPm6CCJFavDo4/f/FipkIllMKT Z83x1vKVa9c79e6H0a/gAj0VKDPl1Azow0eHqQEXGgwR0O0beLxE2naW0bkOfjvQJw0WC7187frM XsTuTIVL+ELPXPj4TjFqJWgRFjq//fZbz549GzRokD17dqIAokQl1s/bb7/98ssvm8KvtPPuu+8S ujZZsmSZMmUqW7Zs586df/3115CQEHw6YU1Bedrw4RAUFWMhg3rUoBpYDOQSdWsI3skws1Ra5ihx KO6Qq7x1x7UanbBDgHMcKCgzDb8c8PinaY4LKaK7UwGBZ1osHcQPOEdJ3gsxnjIAr1IF+Y+wooL9 EucPcx5vfSGDOjsFemuTU/LPZSu8NUJIowZftdOMWg6eZJ1EReHcDlZjhLNR+q1Uv/GGLdvd32uJ l8Q/YVeiMmV6/3HKdMOQIgAR2cC9fZrFHlvzERe+b9mxm8rwkKT7Df/esV1JTqIURrpVGTOCb/+R P+giUV5w1U1viKhXqkadZ3SbY83GzQYQK/jMutvx4/LkC/Jonnlgdqi13THESMIXBvV6qjx+fP78 +V27diGnTps2DdEQI9iGDRvWrVu3VKlS+fPnxzcmefLkn6n+QRlLyRIlStSuXRv/E6LujRgxYtas WStXroStb93611Y3AHVsrRILGXSCGf7yCIV4Daqf7CjrHLcwcjikyVtYKf/LgkUq28Wjsz8KN5Rd xjbZqAmTNI010CXOnf+nSvtcb4+cCCF0ouPHm83H/zUeVsEBBuW9zdjIqYUPibgnfouOXVWsYVkL TLo0yRjbpctX1EIEEJ6NOKia7SAkOe5PykSeKSGSsRbYBHlTKiC2bti6HTWyevuoFm/cvGkAVYaB x6fH/UDcDyK4arZ55eo1xz3A2yDJ8OW4yqA7VYqxjupxA7BdIojju07BY9VBeP3z5KjWVZyn127a qlxGW3XpzhVQc2ouBbD+w0bMeQzvJE1t+DoIffYYOOTdZP8Ljes3BvU48du3b9+8eRNmJdMLL5Sw IE6ZKn9CQ3nGCY+IiLhx4wYh93x5V9K7EEFdPmgYtGJ9UVtc3y2JuKf3HDyMD1j9Jo4XtmPtV6zb QKhPpTxhXFT2BLaO7icU0dTqfdkWwxYDmwmhVvO452RfsnK1rsbxzBMxh0FMJ9i3rpZdCrs8RKnM Bbc/lY6eebKvcEQscm8HXslYsMSajVs0T4elq9ehG9REtWvff6y+UScSVedpPueEyfCd13RaaN2l u3rjrFefYSNFHgKdAeF6obIZKtVrovkCSmt472hOHMtkhz0XdwUlWQpjbtejD+mmVdYI15F+I0e5 ZL1W6Y4QjMvXrPO4XjBrzWdaExLYkb/TwA7k+UPx23b8eMUYMU7t41WRAglbram6ILGoFTKogbnL KmYhEDQM+lW3bzU/bKUAQcZ9ROdoSEiq3AXVuyPKKxpIjwzasVdf9TOaQ9a9cTzBcXvXO3IErwEj f9BEhjNLb3B5GzIo+c7U8SGyOe9t7kpyBR+MoVZt2CTyeINfqYjtd7biZZTxXLpyBQ0zXWQsVBy3 YM1FxM1Uc8lwEg0J1RfemTdOBuCxZdTOA0eN0RwYFIvHjubYKPDzvD+UTY7RLxteqQLhYaet7jVL EGOcPkW6UMpUqNPIo+PNlh27FKU9jq3GYj6j03axA+c/iXeoiZJ7Aa7FafIU0pxUmS/qiVxiDAxA VgkUAkHDoFgAam5QpQDWdD6iOeD7MZp6UVjQ+Tq5cv1GKFAZAFEx1RmUcN7uc6HHFp26aYpHLlPD PqVt996ayOCNE37WNcmJOkrnzp9HTa3ZMgkUfbTEE5RB4QCRgxJ3wB8mTeUtCuEYLQITR5pMlj0f odKPnggRDIlAsXHTZmr6CCHBnDkXwZIRagAtAtcUslfGPOMV9T/4O2qaazFsAmCJ7wfAIZiANzMo uIFI8d5G9SzX7H1UIEhgIsI3gyfuhAPMPfsPKC4r7GECBBIYVn36pAgtV6ehJgLK3gNVTMRdcMAB jCs1LXDT3bbLiOc+oSFq/DcWhPMmr1S/CamItRbQ9d/JzccGUP9YiLmPi7DeXDR6RyLL+xmBoGFQ 8dwsOUqU8wVE5BjcNtQ/Bo5OPKade8G1PF3+IkotfCrUcyER0NVj+2gg9SpyCdL7VVdt6RzrD72Y 8KblTaBxHjyqS70tu5QXZNAk2fOIiI9K48CI1nrImHGDRv2ItISMqHeQu/YdSJPvnwX1thmgJULw nLtwQYmER1QjeEikI8xwmI7m7YSU4OI5Eg4dOeYxIJ/SCybW7h6WyEO4c+D3gpVZnZZfJ82eRyVE FOxIxD42OdJ5q07fzF+y3MFqrMuUOb/glQSlofl3MbDyCAh2A+J+oni1kk3duR0MoeFOtKad+vTT lTrb0QjvuFgquS8Bioo9+w+KLKJzGR6PlUTcKj9czrhn621Zlrc5AkHDoNhfaMqFyvZNlDmXsY9K WSr8JTSv4bwD8TzjvLQRFy8We+ZEjwqxaJWad1Sz3928ddvbl8ZFQdeOuXbjpiOkmcrXCzfrapbC SGwiYeuxn9LbsjEG5Q0pOjrGx77EqyNVkPNL/UzEpJY8OZNmzUbe5TWOd3FBkZEHTqajyaAwIjH5 BMc8ZtJUnDq8tck1xdEOvRMDBNas27oNEYYZubdaUFTynPmqNGiGppRQsfhp4K5z6cpV96sMZNzm m16Ep99z8JAICLSAb7QmAkoBvimEY0enjJ+Xi2dJRrMd+OuIID4uxQgfht+R+wCwjCNEiaCuwtEm X7TK9UXppXTNesQnMTZaWcu2CAQNg+IGIMig3JQ19Uje1gMdCzk+1Z0N+BgQzlyMF/jkMD5C1bzv 4F8oEtUPERRuBFLweHxUbdRcl/3IpctXRNzViXOtdwviIJ/438FUPQ4Yf3a9Lf/r5nHhIjH2RE7S XKUr+JNBWUGeA9QHxoas3LBppQZN+R9FKtd0kZNUYGGJHRoLlS5gRMGdTIPkJ1dpKl/Zyjw6cCsi AC9DJRIIVOH4oGAjjEiJdI+RMN7JZKIl4vzK9RvQQ+DKSUXcHDV5kSAVF69cEVFiK8hgr4dFlab1 jTIpXoWVyF/8we9T2TNtu/fSS3WORSFksTcVS4kadTRtwVwWF7MmSF0lYgauzM5Suy+fjKxrKwSC hkFBTSU2kPPZgV5xzSZtq32Py0CsbUf8VZXziLu2L+8Z1PX2xMj55R4dTWXH4IOY499ZIDwOu0D5 qnq3HXppkYyePGjpbdm5vLg/KCpNw8elsRF26PWd5qUN1Rzxcp+azg4dId4LG0Dd0tuxiMtW/0vV 4a2Lg4ePqFNR7lIViLnvHGZBkeFIF0NGlC59BxKgEUcmXijFVeXi8/VW8tiJk2Q6Erk/oSPFU1Nh cSJ4UIXPnGgVhsegwqC8vKq7fnnsFJtktqjHVQB2zLhEXvENT0dWDBQCwcSg8JbIx4bOZ9y0GcYA 5d7tMAhS6cvHPCdIDPVat/HYPr7hy9esFx/8qfDT2G5owlKvVRvxNpWSvFRpNkuBVl2+0dtysDAo ek5NaxcoljIfpEhPph1xHK5euyaCLWXwzxFpluwC6kN1GJ1SDMU71rAE4sCcFakUlYmfryaOGfEe TF5rzXggClaQPTcPzKQVZzC+IMHYuR4BVGFQGie9NvmURJB3LsN1lpjJnzlFCAHt8rUbLFqxWprg 6gUzWMoHE4N+2bWHyLnDru3Qs4+m0sl9hbh9j/rpH/dw9Y5Q2PqywEo4bI9d4JE2Vk88Gk5Akbiy xCLQO+Clq9eKoN3u2956WzbGoO2/7RMTo23m6stgXOqSh0STQRWI0uQtomu/bd25WwRbQQZFy0pO XPUGuVYWrFht8A/jEPoRhtjqugZsIqouTaHLLVFDOz0fs+Oysnzd+h8mToFxP02fDRsuX0aFNV/W oqW8gfYs5lQHNNh6u3ial+bWbVQCPKbOX7IMNTi3BJtArXcusrwIAsHEoASbFjx3SGpt4H6KISWP oCJdTJgxSwRcb2X4zAaPHuuto279BolnayENiMiAv+k3SO+ASboi0jKhg/W2bIxBh/04wc8n0ZpN m0XyxoAS+T10gSBuRCMig+4/9BcpU9QXi1CFBsLG6pqU4cJYqGo6Dimzw1e19Bd1odJKDZrofap0 GR4mWurOWpgTsqyaQRANz1pWjB0IBBODbtm525GkWv28wO5AM4K2+/rduHW7aOWaIrRBABpflh8G HTrGawIp5EXx/IiE6REZMIaaegdMcESRlrlr6205WBgUMUWQQX/9Uy2Oozs+/YaPEsGWMn8uW6kJ L2F+46fzkAnEuQt8ZDXbCVSBW7dvc+UVAQTrJ4iNd0qSpvk4WkRDzUDQ5FXlOkv0XT9f3Xycmqzu TwSCiUFDwsJzl64o8qXxdE9ceL044sCQIoeGJ6jSu7cUleI9ooPyNpHydRqK+y/OmveHCCC6NMPK LL7+RtvNlK5n/75AfNbuJcUtieAAPx9kggyKUvFYiEYMAZeJ127xtciqUWbvob/U4eU2NnysWioV pSNf8uf4sr6CdXkycATF1ESGh3+9OcI8DuOnGbN5NFHvjhw7aMgJZSWuFhKcsiwWOxAIJgYl1jZ2 g5ofGAVIIDXnjz/1Hrh4a3HJFWnfUgYloj1J0AS315AxXrXBzhMhuo1gg45iggyqEulGpEdxBhXR Z4r0KF6G3JOabvKAnLMkGWN0JKdDMajpaepYO4xj1QccFRXVpU9/zU1L6jrxifu/JBpmbwHx3adG jhdTRhgSFvauWMI1ohV2/W7A/kOHA2VyZcp8ZSNWIBBMDMr2Jdy2oAMZaZ9Vsjp4hJIwJZonkR9k UF0M2uU77dOTMW/QYymqgMPLmQgavngU0Is4gxK734oPQKVNzG1ENhsuvLoiSeE2is+SCLZ4Z5I1 T33W6Bg9RqdzaZ+wG35GT1d3XHZRzIpkICde475Dh3U17q0wrqtkPhdZiKeX8oTJyMaDTfvOvfuV 9Ozyj0QABIKJQRkuz0Iek7+7fwboXvRudJswaLXGza8KGwEKSoqbvcdE9fYZFKxQVfNwwakRrwBf PiQ7MyjzEmHQdt/20eWrsGHrtiTZtEP6AX6uUhU0zX+IJ+fI0KmyXgSr82WZ/FAXi2LiH6lvOUKd YCUgHulQc9hoj3WlLGV4H6TMgN8n6UhllhVNeONCgSBj0JBT4akEciCw0Yljd11nsjC/MSg37qlz fvV2WLTs1E3ckohA2Jo8RwGLGBSB4GjIP5FijH0tsYBBMasmu5n49EmnSkggkVUjVq0mW5yLOJ+t mIfodC7tE3dQfISBKqmZI4EoChjx6X2dUZkOpg+akac8rlSSrHmatOtEDIpAYSX7tQkCQcagKHKr NGomcvpQRu8THe+gIu9eT1vWn4bMeb2ZxZAfxnmbBUmXxPXPpWrW1USD4HD4zuvdcERM1WyZEPzH nVK86e2C8oIMSqTGrYZScBgYknMVTRkUzwpdZq6c/oR4FdxmGIJqmsyQD1wzEx/riFHx/r/MUX76 CKlKdbL7qRsiIJSfPa/jyVlzqCwH0qRmwnOPHwI+o8ivtZq3XrxqjQHPUc2xyQJBgUCQMSiYfj9h kubJrhQY8L0+iwNCZotEgqVl/Pl8WV0YtN8Iz/4MZONyyfqi3pEIg2LlSLRevQNOmCmHJs5+Y1DW hZjmeqfge3lNBn07aZoZv84T7whG7NirnyawysPbxFmzNeUtktCJyKAc95N+nis+zoCUJDAemQFV wCHAvekDw62F5NgiK+KtDNEqqjZstmDpcrKEmj482aDNEQg+Bj14VCiGANud9yFd6JMXsHAltQ/Y 8Qn5GFEBExVvoRtIGrxgmVAgN2VqIgnIkmbPe+jIUV1QUFjkfahA+SpnIs7rbdm5vKAMalsGjZcm E8l8xBHA8Kd2CyF7cnaCSNidp8nABfQQbF20juLjDEhJEs2S4FqFzHw0W/M2KVTlmkGd1CkWVQQu ufihIdEGBDrZaaAQCD4G5Y0wazEhU0a0W6GnT4sje/9+FEb/IrdRckqIN+tekvCe3mTH9AWL/3X0 uHjjIl501jFoyeq1fUzYFNcYlNCpRNcT2WNscpGdwGN/tUbNRRpEBao3y7r4PjSr5C8LFhGs3+N0 8BoSf93QO56wM2f5JAWDOKqgzXvzt4OGXrp6Ve8AZPkgRSD4GJSvqGvfgSJHBla7C1esEl8YlKtk qECPqtl4lYbNxJt1L4l3trenF+7Cugw7JYP6shDqdYkfq6nFfZoJYO168TGQrSy1mClcmS/qEaxH s2XUwt3EPgfMl/5YslyzwcAW4NLgLUJh76EjLHXHJGu3SF4mzcMBpW6rzt11fcWBxVz27gsCwceg vAwRspl0hppbmbgK/UeO1nxJcoYPW4Zk2fNqtkxKJgNxdx0d4T7o7Wj+pv9gXcspkklGyqC6IHUU Rj7WjOqHnmP77r3i7WPOg5iiucEQhlp1/kZk61LmxynTNJmeHmmzY6++Nj/ZHz58VPxZpnqXH6Dp uqmIr4ijJPRMngYkUcGwKiqLSKijLt8N0OtNZ2DMskrAEQg+BgUyMh7kLfs0w5Hmj9CXurzdr16/ TvRqzWY5N/cfPmJ48VZt2Oiti9379aU8zFykpOZoeaHZe+CQ3tGKvIMiJxlIAuU8EkEtboaCxYmx p3cKPpYXieqHQLljzz7xjrbt3qu5XhTgCCZeo2CzK9auF8xSnjJ3gaMhIYLNBqpYr8HD3CEi0vWJ k6f8MKR7kZHk5MEZWkQXpbKUxO/FWpCHIT+MWXYRQASCkkEfPnzIS6TIowVqGc5oXfgSZVTz44mP QkyP/YjLAPoM85zajICfDx490jVaEVtcvnMD/qAiDFq/ddsbN32yPxRk0PzlqpwMC9eFjO+FrWDQ XxcuFmHQd5KmFnkEVeZI9EESaIs0Sxm0Mr4jY2kLv/3pAaKGX3fwp0jHHX3oj+MzFCymmWJdBXY0 /Gs3bbUUK9l4wBEISgYFNVwI3k2qrcj9MGUG3V6hFy4mzJhd/TyCvPsMHWnsVYaDoJAni1/a7Dv8 exHFnfOmEYy9J2LV6bIXRRi0Wfsumi7/6ls82Bk0Y8HiBw7rsHPmoV2E6lAb4GUheDoQz4FIPYJn PUEwYFzBlt2LsT9XrttATj2s4Qw3ol4R9nKB6M3EKXGi1ftp+Dg87C1I8IDem0cQzSu1tzUlgZrM j+bjQti8erAyKK5jzrngVU4lXe56ymp91U3bIpdQJviPGlhdnlo9BnVDADUQ8BORQuREHv7jBL1D FWFQIiIR1UVvy87l7cygZNPTfAfNW7YSW1EcgW8HDhVZL+K1irdJydUbNmkOVemXYA7QLY5butp3 FN6xdx9P76nzFpo8a46xG6Rmv/h6vZ88nTNK9Lhuc2CEOeZ45PiJHgOHpMlbWETp5bK4JGKbPvc3 zSnLAsGLQLAyKIiXrllP5DBq800vvbfXnfsOaFroJM6Si0z0eheemztxHtyvtC9/QsBPHcH8HP2S G1IIhO699A5VJNKN37xZAqLF/e3PRZqHpl4Gbdu9l8h6dR+gz6DswYOHgia+9E5sPMK4Q1R6t8Tx 0NASNeoomGCIIC4l6+oI0nIxx+VyqRlhX1cXegtjlc3VofvAIYJBuR1LjGIAXyMZQVcv4EFUPogZ dNTEKSKHEU+hehmUD2bQ6B/Jr6vSPt/G0DHj9K50aPjpvGUquTebLl+RQ0eMWMrgHfFpBg2dM91l K15G71CJlqAJb+xmUCxKAsWgJE7Xu16Tfp6jme3SsaDvpUiH5yX7XLwXdlqRyjUA5D/xEyXNno+U meJ1dZUkZUq91m2c9175uo30fsK6ehQszI2BvDpd+vRLl7+IONT4raF2EuxCFgs6BIKYQXftO/Bm 4lSapzwJkA1kx8XzXdNIJ1OhElju6Vry0ROneHQ8wHxJVzuOwjzViMjiOAPoDTkmkpslb5mKZ85F GBu5UsvOWtxJs2YHhEE/SJXhgH71Bq+bHt/XvX0g2LnMnjdf5JUOoXDvoUMlqv/jZELOhnHTZiL1 +rLuKnVhUOwEnYdNEGmL+jLQLLI7Eb4Im4CSBtWR5vmDb8wM/dl5DQxMVgkIAkHMoETDEcyzeCwk 1AC4G7fvUH9bggtn/7FAvGU0Ue4voMiymBtoJrHy1gtmyT0EntZeTZh0zUZ9QkOt5l9qng6pchXQ a+rsMhE7MygpZjXNc/Rqcbv10w4GkrloKXQV4vtKKfk4Onrc1Bnv/fsFUU2JEj8RTxV9hoxAEvUm 4fH3CF7jp83EYEr5FrhS9Bs+ylK1JJ0O/H6M88gN5EXQi96REyF9ho4gpiAPrnfvaV+LuXnsPfhX ozYdNO9YTKTv8FHWRVPSO1NZ3lwEgphBkf9c7qrezgsUXMZQmzB9FuFJVY4htKPHTgrR88XLV75o 3trlROZUwqXy2EmfEoSt3rgpcdbc6mxHv03bdXr8WMfTl0jm0XeSpXGRlrihc5SLo21nBiV7uekM OuePPzXvJYRXvXjlijiGjpL37kWSulKzfZcCqOt/WbCQsHbOL6NYjONOgxUe1ztHeR5QEQe5tBkY m3gVGHTYjxMcnWIKa3Xmk70HDzk/heQrV5m/ERkwQ53y81yeadX3SYdefUVkfZEeZRm7IRDEDIpy aezUGQQe0jwyECaM4Q5Jj50y/aPUmbx1QYppWFwzPhGxfLneussHBcpXPXxMRxRcj7MgZEQJT2Fc XMacuUipv/T0NXDUv+QAbwgs+nfcxPVbtpHti3DngoDbmUFJz6m5tQigc/fuPcHJUmzX/gOaYmLj th1v3bkj3qZzSWQpERMwl3nhflqkUo1OffqT+IgN32/EaKSrTIVKvpEohaMk2sjBo3+8KRBo0NjI HbVcGLR6k5bi6XINdM1doWpD18DCLKtgqBAk+PlLl6tfYSWDGliXYKkSAAaF+fgkTp0+g+s073/K b9KsOXsOHMI9X5e6Y9nqtSJ2NBXqNTZsicDlceLM2QnSZ/WmrnkrSaofJ0/3dsekXz5RpJm3kqR2 PrYwx0XUOHLcnAAx0+b8oqlN4qpBkBTxJ2GVHODOE+k5aJhjr+PXUbZWAx6eKzVoclrsfdS2DMrC lavdQJNBMXLR9anzbJy/nEY4LXwnDJu58oi4cv1GXug1pWf3qbGFiOn6dtLUJFZz/lcl8cjUOb9E Rt7XNVljhZ0ZlK6HjRlvGA2RAeAv7h6k+i09HqgY2C9eufrDlOm97RZuz5p5XkWGKsvYEAF/Myg3 u8mz51ao0/DtJK5GQDwrIifxZiDu8U165xwlymkecwUqVBUJ0u1teaD8tZu3QHh4d3nsC8O8r7p9 S1BNFw85sjXxrFKjSUuXI+njNJl7Dxnhoyel82ijHj7MWKiEJg6fpM+2fus2wV1IVDnNBilAxg/l dLh563abHr2AAo9DIshcu35DpCPbMijjF0l1p5dBUYF+O2iY+vv6oFE/ikCnUoaHQ7Svgh6imvr/ UjXqoFqAm30clWB1GJSvQxkV0fCXrVknWNFYMfTqaKfdQeD+JO5CQzjf74Z979GwkVXgfdrwDd7Y pGQtvyHgPwblEQ46IRUtEUZUPlpunWVq1du0Y6fIF0uYbBFBAWL2Magm1Ij0MGzsBCKLeiNR3GZw 4yNIKS7YuKb8+ufiJu06k4PaWTrklsDR9tvCxabfSRGUESA0Oa9AhWrEfFHfXljtYoaaSiyFCD4/ SKthp8+06d6LWKAMgBv9TuFs2IIMStQ6vCn89lXQUfiZs7lKltfEs0yt+nolpNUbNyfKovZu7ZFB Uc/im3/rtqh293hI6JddeoiExVCZ48dpMrXr0TvszBl/Is+HTypTZVSZC5c88Jdur2tdo/XGoFxz sSUUb4o4TR4NGz/LnJMoTuLtyJLBhYCfGBTdLE7cCdJl0VQ28tlAorzlsCNFoERDotkmNLZ1526R 1tTLoK7By2XUT5PT5S9KvED3fiFIbP3JusyP7DEvJ/jH2J0ZfZAyA1HgCep25do1K4K58BrastM3 3qRkxynJmItWqbl11253exAsgAisz5UfjneQ8fsp0vPGox7VDLUtnuaKlw4vavgyik9QkEHhZrSI hK/zfREFWyDXlciDYu7Suv15uPbVaqFm59ypdz+XCxZ48jAJCBitMDDBKUTej9q0fQeryeq88iwM guAPsYkqPECyT6KinioY/PmHyZasUUcZKkGvfAy8rDlyTGqJN+SODN9s+x59xLccS+bx4RxTwavX rmsOQxYIUgT8waDsQk5Vj6oSlU+6aqNmIl/vlNlzNVM78Va6eOUaE1eIT2Lu/IUden6Hog8HFRV1 GVSUrXjZ5h264J5vOJSa4MifPUPWFzklIUXCAeJQy4Ug4sJFaGzNpi3DfhxfoV6jNz7/x3gE4bJ4 1VrIl1jbck3JVFhbS/xRqoy4BOiKmIrRI2/MImNGHpr+y29XxZTDgoipFEM04fagOTAU4+wEvfF9 MB9TabxcnQYXL192Htvh4yeUvNMs3IVLl3TNjhf6pavXIkqib9fMCYi5UPbiZSm8bPU6vZPSNSqV wjBo0mx5mCzPAd/ojM1kYAwcMrW9XGgwA+ZtQrzNJm3/EZ0d24bnGy7N4i3IkkGHgD8YFHdMjE4d pg0ZCxUnC2b3/oPUj873U6bny9cElOyMjkPf23n3YaqMHHOaTektgPoO7eXOvfsWrVxNoPlm7TtX b9wCvRNHFUFVWnb+ZtSEyajs0L/pDbygdySO8n8dPVaiRm3Nc58CGBalzVcEd0Zs9zk0Xe4BEMOY SVOxBlKkyXuR9+FRbDqIruftuoAkihufuJqRZgGQDBjqWn3nuXyQMn35ug3xwTVsqioI7L17977u 1lPEGIcyhNPDHvuHiVNIW4vKEScQTe8LUO3Up5+3ZYJcNzg9V+MrjI8KygOWDONzwSm4FONJHjX4 8rXrho4ZT0jn7MXLONKUordAScNrCC95C5ev4jlf5OZqbBgitfhYlD3GjvrdhwxIIn0pZThDvK3F CmEF7K1bt6s0bObSDtYJujhYfMyypE0QsJxBMf7sMWCIchhBdS06ks3jDicIpye2KurXfMTQGzdv qiOFkgdrWHXOsIhBnQfGjBRXSPTVjx7x/5/+CYj5wKXLV7r2HUDEGREedSnDMZ0yd0HMaxFn3d+h Y2KeIF+SZezneX906zeIGG/oMLMUKZW1WGkO5S07d2kqb9kMBFGCY8iQOnL8xNI164qkm3YZJMcr /kXo94iqiDE2wQd8x5kWUK5iPYRbJEnNho/7SZzXlXcH1KTITLARP3ycZv46T33fkpag/pftiHTh cZl4JkBbi0ndjr37qzZqDndiotWme0/f1RgsIp8eexQ1Psuh/HDJ4C81l88/ZxYbScGEG7aLLG7R AFj9Ln0HeLyIV6zfWMSV82nKmvUbiJXtvJqJMudavyUwAfEtAko2646A5QzKWZwiV35lY5WoXvts xP+CwKFC9JiP3rELyau87+BfmsuGwBRwBtUcpD8LcBwuWLYClxKENkEehQPI0vxl1+66Molyvz59 7hxLLHLKwBnovWG+5Dnza6oNBIdNMSJF+Ojjz9Nvz8HDv+zag5AX+cpVSZY9r+bLuubwePXXXHF0 sy4BYJ2bJWBQwYrVUCQqf0m2FnEbdc2u7Vxg5IRJypTzl6/it3Gyh3n3dX8P4mxBtaB5tzgTEYFN mfPyYYg0YdqsqCiZYdtvaxiYjixn0EXLVynnEdLG+OmznPci/5v0eyqPiJilUF0TGE2bST/IoJqD 9HMBsIWx1m/eint+4iy5ed/idHAO40l8cJDHRAhzzdxlKhI/AdHQ0mhtyHbOR8xTue3TpPyeCm3P foh9PBt7+zEFpRg/paLSGsyny4fYfSHGTp3ujRHZuk9HmDAZnfIw/NRdMklqIjFhL0Z4caL58BBe r/XXX3XrofzQsvLuxU/QHfbCxcuM/23VTLcMIF/5Kgbi/Pl5y5nSHcKcI5yk3gQ1vgyAflE/lP6i HooEl12apUhpDLK8vQojvfNMU7F+E8eti//xUaoMM36Z5x/3WV9mLev6joDlDNqsQxdlR/JcFH72 rMuIMVThtUPlRk+8Mc1JOgce89gUhoXzlyzXbCe2FoiMjNyxZx+xZjjiqzdpQbolftgNDh49dt7C JYKxV3wHBy8a7jqFKlZDecsAeNvrNXg4P3TCv/65iB8uQIePnfD2I+AGXkAUm/vHn0pFjtqytRtw VGmKCOqDX7Nxs7JtIEi032nyFebZHn0Jz1ptvulJRwR3pF+kc8am15BHEzc0/svXrsdiE1Mp95dX xoNz5BXfkrBqjsE+BUh+kq1YGdaCCxOWwH4eGPa0JGXCPsBFCfFu8rR8LLsPHGQhUHlz0SRI58HD R1et34iRIE6rjmOHF+VWXbr7GKfTz7OW3fmCgOUMmue/ybwKVazuHjF1846dOH74yKBYl6hr1ZJl z7dJJhjyZZuYUReNFiRKPgAT7YCwOvFdbiYGYYOv2iGFz/ztd9x5yQR59vyF6zdv+UjMujDDx2nB 0hXEneddg7smP8y7cLFdsnK16a7Dugbm58IYDyZ89oSPOh0rcT/3Tne8gOzcu7/XoGEYBLh4crMo vPcjEtRt1aZC3UYEfnK42+K3hqPR192+3bB1e5xaL/8vkN16tJZBsQNiYyn0ht2E++Qx01V5xcT4 fvG/w656hE8zDxeHEXdbu0Evx2MfBLBu0xsYwYrBYwQLlfImxw/dAGpA342krBinRW2yBNgDw1v8 MGcTj0Bp+njI3cYtipjPrTp/k61Y6YQZs/OuiVUBOnyU+fzfD1Kkj5c6E25yWNtS5s/lK8+eP+83 k3vT5ysbNIyAtQyK3aYjn1fjNh3dR3nu/MWEGb1ajWYoWAx/Z8254T2iLoMSkM8O56PmRGQBiUBc RgD9RMnqT2MpELNptWUZvA0gzKv2tl17Fq1cNWHGLIJ48869cPlKxE2CextoTVaJTQj4j0Frt/jK HTje591TZjrosFrjFiL+hZ9k0LDFJYNmbFozOReJQKxEgGCQmGjx+WPRo5nvKFYiICcVdAhYy6A4 OaT+b8Ss7CXKeoxWk6FAMY8SJBEVsBzRBJR7q6Y/KA8bmu3IAhIBiYBZCHAzxlEbb05+4kkdMNri KOBN8fdFS80aiWxHImApAtYyKEN3JLhIlbuAx5jmRPPxyKANv2ov4qWA6QHO5ipaXNwcA/igYuni ycYlAjZEgOBHP0yahrF3qZp1+TVp25EMmpqheYhoQRwJPmRMeEgIaMN5ySFJBNwRsJxBSXao0FuC dFnJouc+AjI/OAJJKyVxySK+q2YKEaWp3kOGq2dxatujl1x4iYBEwD8I8FiYo0RZ5zRBSnpRAh/e vRepMoalq9YqtXoNGe6focpeJAK+I2A5g+7af0BJGIJ9HUkniB/mPuhr16+PnjiFzMMEISJW3NwF C7mQiswNBRHJC1UE0M8y59glnGlLpEdZRiIgEfCIAJpbvtxPM2b39j1+O2iot6wD12/crNygCVyb pWipY/5NYydXUyLgCwKWMyixRnP+N89i7tIVVCRL3PIIi6PLggB3UkfIQPfvlhA89Vq3vX5DKNWz LyDKuhIBiQDx9B3O3x5JFMe2Q55SFuKxg2nrJ+mzEuuR8BEEwZdgSgSCBQHLGRQ3klETJytxUAmN NmbyNLOg4T47ePSP3mJz0x02uuiN45RHnVnYynYkAnoRIH6sS0g8Fx4lss/kn+e4N4sAWqVhUwRQ ggH9dey43n5leYlAABGwnEGZG15TDnuipNnzmBVq5OSpcKKEqKhw2/f8LoDIyq4lAnEKgYZft1d3 y347aWpCELtjQjBhKmLN8OMUD/8apzCUkw06BPzBoERHmzxrDoEulQ8M0x7fI7EBdP8Ro1W+WGJu hZ12DcMbdMsjBywRCBYEiPylzqDE7/xz2QqX6ZBvIG3eIlQkVe3V69eDZbJynBIBBQF/MCjdECuS ON1K4OyPUmUc9dNkQVshj+uE/hb1LCG1vH2xibLkWrxqjdTfyl0uEfAbAqlyF1Rn0MKVa7hYOaCd IgEnNoYE0CfHnPxg/bZYsiOzEPATgzLckLCwPGUqKsGaiTDZf+RofK4NTCM6JubPpStU9Lc0PnHm z+5R7A30JatIBCQCggjk/W8OCY88+mGqDCvXb3RuigjApEfFjgEjCaLgiqSYFRyJLCYR8BsC/mNQ jN2Xr13nyBiMUrfR1x0wHNB18cQZZvov80gh5O22i7HSkDHj7t+XiW39toVkRxKBpwh8O3CoigxK +HVnjrx89Sp/o3hykxmCZGESRIlAMCLgPwYFHR5ESbKYIlcBAncpHqLcTNv16L3v0F83bqnJozFP nmCwt3rjZlTBJEbw+KGiIk5foOjP8+aTVyEYV0KOWSIQ1AjsPXDo3WRpPX6bn2bItmLdBmV2xBta tWETzt+vfJIET3FSsZ6QDqBBvfBxe/B+ZVAF6t37D5Bm741E/4Tig/kSZ81N7rNJs+YQ/eD8pUuO FUFhe+nK1fVbtv0waWrtll+9k8xrLm4us+Qo3rJzt1Texu39LGcfMATu3YtErHTJTa0QKpqhjr37 rtuy9deFi0laHv9ZSmq+2cZtOx49EaJLCxWw6cmOJQKeEAgAg/LBkPtwwvRZ8dNmcf7eyAZKSEwC 0BepUpMHEr6uwpVqEI2B5C1vJv7Hjtf9hvs0ZljaLLyqnjkXIZdYIiARCCACRMQtVvULjySKeMqH jDku/8o3+0HKDETv4yk0gKOVXUsEfEcgAAzqGPSlK1cGjhqTr2zlj1JnUsx0df24w2JP1LxDV8md vu8D2YJEwBQEiCzWqtM3yXPmfy1hMvfPmSeYdPmKfNmlx+FjJ0zpTjYiEQgsAoFkUGXmZK+dt2hp 5979sxYr/eaz0NKav9c/T563bOW+w7/fvnvv/SgZAyywW0j2LhH4FwJRUQ82bd9BpOum7TqRIoL0 hdmLl+F/tO3ea9Ks2bv3H5RqW7ljYg0CgWdQBUqsZ89GnN9z4OCMX+d92aV7sSpfoPMhnQtqH+X3 cdrMSbPlLV6tFsofiJO0oA8fSouhWLMP5URiGwKYDd6+c/fy1Wtckc+dP8//uBd5H5PA2DZPOZ+4 jYBdGNR9Fbio8tUdCzmp/MLPyABDcXurytlLBCQCEgGbIWBfBrUZUHI4EgGJgERAIiAR+BcCkkHl hpAISAQkAhIBiYARBCSDGkFN1pEISAQkAhIBiYBkULkHJAISAYmAREAiYAQByaBGUJN1JAISAYmA REAiIBlU7gGJgERAIiARkAgYQUAyqBHUZB2JgERAIiARkAhIBpV7QCIgEZAISAQkAkYQkAxqBDVZ RyIgEZAISAQkApJB5R6QCEgEJAISAYmAEQQkgxpBTdaRCEgEJAISAYmAZFC5ByQCEgGJgERAImAE AcmgRlCTdSQCEgGJgERAIiAZVO4BiYBEQCIgEZAIGEFAMqgR1GQdiYBEQCIgEZAI/D9XSeWTFWKI 9gAAAABJRU5ErkJggk== ------=_NextPart_01CC4CB9.E47C16A0 Content-Location: file:///C:/8CF619D3/math_clicks_files/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01CC4CB9.E47C16A0--