Question
Solve the reading game.
Baby couldn't finish his HUMONGOUS sandwich
- Full
- Delicious
- Huge
- Yummy
The correct answer is: Huge
c) Huge
Explanation - Humongous is the synonym of Huge
Related Questions to study
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Find the solution of the system of equations.
![y equals 7 x squared plus 12](data:image/png;base64,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)
![y equals 14 x plus 5](data:image/png;base64,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)
Find the solution of the system of equations.
![y equals 7 x squared plus 12](data:image/png;base64,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)
![y equals 14 x plus 5](data:image/png;base64,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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
![](data:image/png;base64,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)
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
Which number is next in the sequence? 35, 85, 135, 185, __
Which number is next in the sequence? 35, 85, 135, 185, __
Consider this simple bivariate data set
a)Draw a scatter plot for the data
b)Describe the correlation between x and y as positive or negative.
c)Describe the correlation between x and y as strong or weak.
d)Identify any outliers.
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)
Consider this simple bivariate data set
a)Draw a scatter plot for the data
b)Describe the correlation between x and y as positive or negative.
c)Describe the correlation between x and y as strong or weak.
d)Identify any outliers.
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)
Calculate the time required for the principal to triple itself at the rate of 15% per annum simple interest.
Calculate the time required for the principal to triple itself at the rate of 15% per annum simple interest.
Complete the sentences with the plural form of the word in brackets.
Complete the sentences with the plural form of the word in brackets.
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
We could possible draw numerous trends for a line. But the main purpose is to describe the pattern of the values from the line. So, it is necessary to choose the best fit for the set of values.
By completing scatter plots for each of the following data sets, describe the correlation between x and y as positive, negative or none.
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)
We could possible draw numerous trends for a line. But the main purpose is to describe the pattern of the values from the line. So, it is necessary to choose the best fit for the set of values.
Show the conjecture is false by finding a counterexample. Two supplementary angles form a linear pair
Show the conjecture is false by finding a counterexample. Two supplementary angles form a linear pair
Identify Text Structure.
Sharks and orcas hare a lot in common. Both of these sea animals are carnivores (meat-eaters) that hurt for their food. Like sharks, orcas have smooth bodies that can speed through the water, and lots of sharp teeth. But these is are major difference sharks are wish, while orcas are mammals! Like most fish, sharks by lay eggs: But orca babies are born live and drink milk from their mothers. Another difference is that orcas have Sony skeletons, but sharks have no bones at all-only casttly.
Identify Text Structure.
Sharks and orcas hare a lot in common. Both of these sea animals are carnivores (meat-eaters) that hurt for their food. Like sharks, orcas have smooth bodies that can speed through the water, and lots of sharp teeth. But these is are major difference sharks are wish, while orcas are mammals! Like most fish, sharks by lay eggs: But orca babies are born live and drink milk from their mothers. Another difference is that orcas have Sony skeletons, but sharks have no bones at all-only casttly.
Consider this simple bivariate data set. Draw a scatter plot for the data.
a)Describe the correlation between x and y as positive or negative .
b)Describe the correlation between x and y as strong or weak.
c)Identify any outliers.
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)
Consider this simple bivariate data set. Draw a scatter plot for the data.
a)Describe the correlation between x and y as positive or negative .
b)Describe the correlation between x and y as strong or weak.
c)Identify any outliers.
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)
Consider this simple bivariate data set
a) Draw a scatter plot for the data
b) Describe the correlation between x and y as positive or negative.
c) Describe the correlation between x and y as strong or weak.
d) Identify any outliers.
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)
Consider this simple bivariate data set
a) Draw a scatter plot for the data
b) Describe the correlation between x and y as positive or negative.
c) Describe the correlation between x and y as strong or weak.
d) Identify any outliers.
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)
At what percent of simple interest will the sum of money amount to 5/3 of itself in 6 years 8 months?
At what percent of simple interest will the sum of money amount to 5/3 of itself in 6 years 8 months?
Show the conjecture is false by finding a counterexample. Two adjacent angles always form a linear pair.
Show the conjecture is false by finding a counterexample. Two adjacent angles always form a linear pair.
For each of the following sets of bivariate data with variables x and y:
Draw a scatter plot by hand. Decide whether y generally increases or decreases as x increases.
![](data:image/png;base64,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)
If the two variables increase and decrease together, then they are directly proportional and have a positive slope.
For each of the following sets of bivariate data with variables x and y:
Draw a scatter plot by hand. Decide whether y generally increases or decreases as x increases.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA88AAAB6CAYAAACBZGGYAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFxEAABcRAcom8z8AAM3qSURBVHhe7P2FexbptvaLnj9in32u67O91/q+pXPNOdtpaGjctXF3d3d3CBAsRgwiJBCChBBIAgkQIoS4u7u7J78znkpopOnuyBsaeta91phJh6r3rRo1njHu+7H6/6BDhw4dOnTo0KFDhw4dOnTo+E3o4lmHDh06dOjQoUOHDh06dOj4HejiWYcOHTp06NChQ4cOHTp06Pgd6OJZhw4dOnTo0KFDhw4dOnTo+B3o4lmHDh06dOjQoUOHDh06dOj4HejiWYcOHTp06NChQ4cOHTp06Pgd6OJZhw4dOnTo0KFDhw4dOnTo+B3o4lmHDh06dOjQoUOHDh06dOj4HejiWYcOHTp06NChQ4cOHTp06Pgd6OJZhw4dOnTo0KFDhw4dOnTo+B3o4lmHDh06dOjQoUOHDh06dOj4HejiWYcOHTp06NChQ4cOHTp06PgddFs8V1VVkZ+XR2FBgWYFfyJ7fU9/tvv6mPa2D3U/9sx0P/bc3vah7sfum+5Dw5jux56b7kPDmO5Hw5jux57b2z7U/dh9033Yc9P8V1hIWWkp1aJ3GxsbO9RvO7olnltaWggNCeHa1as4OTpyXZmDg2aOfwJT9/PzfYlpf3vvGN1+3bRY6PCd0/Xrmr3tS906b699+Np/ehx2zzTf6XHYI1N+e92e9TbdfXs7P779t7eP0e3X7bXvlL0fjx86XrcP29tx+LZ96Fjdft00PyrTfdhte+03rR1ff+NHPS92z372n9iH/l233zflO5cbN/Dy9CQ8PFwT1Er7vka3xHNTczOut26xcvlytm7axM7t29m7dw8HDxzQ7NDBg5+lqWs/sG+fdj/qvrZv3cre3bvZL387uH//B8/R7V3TfLh3LzvEh5s2bmTTho1s2byZ3bt2cUD3YadNxZuKuz0Sf9u2bGGLxOOunTu1v3/Obexj2ms/7ZN4VG15s8Sj8uWunbu0vx3S47HTpmJRxd9WacuqXas2vUfatB6LXTTx1949e7Q4VL5UPlR5UfdjJ038pHyl8qKKwU0bNmg/d+7YocXoB8/R7ZcmMae4jvLj69yofu6T2NR8/KFzdPuFqVjU4lHasYrDLZulTkssKj/qfKdzpvlwv/LhbrZKXlScUdWYHdu26W26KyZ+VDGnYk/xb8UZ1U9Nv3TE6QfP0+0dU35SflQ1RcXgqRMnuCkiOjY29p3R526LZwc7O2ZNn876NWu0h3XGyAgzU1PMzcw+a7t44YKW/FYsW6YF36mTJ7kkfzMzMfng8br90i6cP691OigfLl28hHVr1nL44CEuX7rEFXPzD56j27um4u28sTFHDh9m/erVLF+yRCM7JuLDDx2v26/bubNntbasfLhp/XopMgcxPnsO8z9BvvpYpmJRxd/6tWtZJn5cKzF57MgRTCVO9TbdBRNfqWK8Tvy3esUKjkr7Nrl8+U9ROz+GWYip3Hjy+HGpK2ukvixmzapVWr0xPncOCz0WO2cSb6pOHz96lG0i+lYsXaoJ6DOnT7fnRd2PnTbVdo8cOiTteSVrVq7UBg/OCh82lXb9oeN1+6WpHKhicdP6DRKLyzTuuGvHdq3uXLGw+OA5ur1nEocq5s5J7CnRp9r0dhHPqp1/8HjdftUUz1Y1ZZXUaNXJrfwaHBxMfX19hwrurnhuasLu6lXmzJzJbhGaJpcuc/f2HZ4+fcoLPz/8nj//LE1d+0MPD44LKVw4f742Wurs7Iy3lxfPnj374Dm6vWvKh48ePdKE8kYRKko47929Bxsra554P8b/xYsPnqfbu+br48ODBw+wtrJi47p1LJg7l4uSBFUsfs5t7GPaaz/dvXOH/UJolksxUbFoZWmFu7s7z987XrcPm/KTh8SiEiaqo1QJ551SnO2uXsPX11dv010xiUn7a9e0WVuLFyzQOh6ePH7Mc72+dMpUm3727CnOTk7s3rlThLPEohDEyxcv4n7/vh6LnTQVb48ePsTe3l7rwFGCRflTTVNU/6bXmM6Z8tNTyYEqN65avkLr0FFE+57UHJ8nTz54jm7vmvKh8pWaKnv4wEHhjRs07mh89qzGxwMCAj54nm7vmmq3ijcqvqNGoecLZ1QzFRXXUT7W23TnTPlJ1WTFt1V7VuJZdUyEvHplGPHsIEl32aLFnDM6g7vbfeJiYykuLqa8vJyysrLPztR1K0tJSeGCsTGzZ87URv2CX74kNyeHkpKSD56n2xt77cOMjAzuu7lpI1NqlO/yxUtao87Ly6OiouKD5+r2xpQPiwoLSUtLw9vbW5viqTqqnBwcyc7K+tnPHzpXtzf22kcx0dHaSMC61Wu0gvzY+zHJKcmUlpb+4hzd3jXlQ+Wn1NRUPFWnmIgUNUXR6NQprdAUFRXpbbqT9joefaQwL1m4SJu5dff2bfJycynV60unTMVacUkxr4Jfcf7sOfbt3su5M2dxu3uXlORkKisrP3iebu+aatOqTithoojh6hWrpF4f1fyq/k1v050z1aZVDlTxp2ZAKKLtdvceCfHx2hrJD52j27umfKh8FRQYyBVzCy0OFXe8dfMm6enp2ubEHzpPt3dNtVvFG1/znemTp2qznBITEjQfv64/uv22KT8praI6EtUs5MMHD2rTtuPj4gwwbVvE83Uh8qqnzfSyCU99fDWB+fZi6s8VKhGqqYgzhdicOH6ceEmCtbW1tLa2dhyh4/eggs9HxPK5M2ek8Z7URp1DX4VQV1fXcYSO34NqY2qXv0B/f20KzqzpM7h9y5WqyqqOI3R0FlmZmVy6cJGN69Zr+epl0EtKiktoa2vrOELHb0H5SXUeKqKtZkKoYqJ6ZdUmGipOdXQNQeLHRfMXMH3KFG30T9UXPRY7D8UzEhMSsTAz5+jhI5iZmGojBarzXkfnoPiMEsixMTFctbVl7eo1nD55igQh2nosdg3Nzc089vLSOmd3bN3GY29v7U00De/tzqvj16FEiVpTqgblzhqd4axwRzXbSYkZHZ2DarfNUo8V31EDgFMmTuLsaSPy8/M7jtDRWSit8sDdXVsvfvLECdzu3dM6Z9/mOwYRz898n2q9538GgakK8NviWRUT5Ui9oHQeqiir6Zxvi+ewkNB3pjzo+G2oglwuhSPoPfFcXVXdcYSOzkKN1r8tnoNfBlNaUtrxrzo6A9WrHRgY+I54joiI0OJUR9fwvnjWOxW7BsUzkhKT3hHPatqn6uDR0TkoPqNG6dWMwbfFc2JiYscROjoL1Znzjnh+7E2BCJZGvWOx01CaIi4u7l3x7OGhDcTo6DxapB4rvvO2eFaj+jq6BqVVPop41keedbwNfeS551BtTB95Ngz0keeeQflJH3k2HPSR555BH3nuOfSRZ8NBH3nuOfSR555DtVt95Nkw+Ggjz7p41vE2dPHcc+ji2XDQxXPPoItnw0IXzz2DLp57Dl08Gw66eO45dPHcc+ji2XDQxXM38I8int8uj4aulbp47jl08Ww46OK5Z/gjxXPbO5nqz4GPLp47Plv737d/70X05u38keK5t/32saCLZ8PhDxHP8ojefkrqkX3Oj00Xzz2HLp4NB108dwP/UCPPKtmq2zJw0tXFc8+hi2fDQRfPPcMfKZ41fO7M8D38kSPPqjNCfdNH+Tb1JVJfDH1rf/jI80dzYO/hDxfPf6I2/UePPL925efsTl089xy6eDYcdPHcDfS6eJYAb5PPam1tFn81a4m3ubmp46eyVlpa25D/N2h91khTWwut8p1NTY3U1zVTU9NKfb18l4H7BT6KeNb82NLhw7f9JyZ/a2lRPlb33HF8j/HGfy3NjZoPVcLXTNpDU3MLzW89t55+7ccRz1pUaH5U96V81/SWD5ulPbeoWFW+1o42BNo/qU3iv1X82NzUID5soKFBfr42za9N4lfxaUvP20Kvi+eOWHztw7dN86eKRXWMgb5O+742+Uzt+96OfYlDLRbld+25vfZ2z/BxxbO66FYtPlrksxvqGqiprpd81aS1aUO5sB3Kj78e++q5qVxssOfWgV4Xz+qzVIyoGFDxodpUTa3k+gbq5Z7UE+uNrmAVk1o7kO9Ubbi2tpnamjZpx4b14UcVz8qPr2Pkdd2sbZV8Zei6qb7ndZuW+vK6tjS8rjESn1o+Ngw3+KjiWYtHiY0OH9bV1mttuqGhScuLvY6O71e+fc25VFtX+cQQ/lSf93HEc0csSvtqaaijsU7atMRHvbQvoR/abRoG7f7ScrDKhxJ7P+fF1/XmPW7QU6gY71XxrMWAXKvGGeUeNP6m+Mbr9tXB4VStNmjO7/BjR9z9bNp/d3yfurSOo3uCjyOe1cV25CnlM+U7sQbF4TQ/qrbVnqcM58MOvI5JeX7qe9/hjOo5dliTXMPrdt1d6OK5G+h18dzaSEtVFuXZ4cRFBBIY+IKgYH9ehgbj9yqSoOgM0ktqqWiWpGzA4GtrrqGxIpPC1FdEB3vh4x/AndAsAjLku+oN+9x6XzzL9TZX0VCWTnp8MGHBTwkKDcQ/5CUBgQG8Co8iJrOE7MoWGgxyayphSLGvyKE4OZiYAA8eP7zJ7Xs3uXnPjbtPXuAbmkRsTjklDa2oktmThqvwccSzkIemcuoKY8hODCIkNAi/l4EEh/jxKiwI/8hEItKKKKhuol65oOOsnkElVRFEhXFkh7kR+MiR2zcccZR84uTYYU4uXL/1GBevKF4myvfXN6P2ae9uC+xt8dzWXE1TWYq0rRDCXwVIm/YXHwZITIbwPCSGsKRccquaqJEb6Pk3yic0VdJYnk5OUhihgc8JDn5OUMhznr3w5bHPU56GxBGWXUZejZCEjrN6go8pntta5Zpri6nIiSY14jEv/Hy4+ywK/7h88qukSKpj2g/tOSQOGyszKUkPISYyUGI/iMDgF4SEvSBQcsjLuCxSi6qpEicaUif1vniWC26poaE8g8KUYCL9fPG6+wxfvwTiimopFCc2GlT4KbTRUldKVUE8GdG+vArw5F5AFG7RZaSU1IvwM9wXfkzx3NpYRV1pGrmJgUQEeuDtH4RbRC7hubXUGsyJKjHU0lyTQ0FqMFH+7jxxc8HVyZkb12/hcvsh932FH8RlkFJaR4Uqfx1ndhcfUzy3tdTTWJUr7ewVCaFePH76nDsvEglLL6G8QUh4x3G9B+EdtfkUZ0QQH/kC/6AAnr4KJzQhg9SCcoprG6mVi+gu31JiqPfFs8RIq4jliiytzkT5PeCZ132eh8URWdBAodyiwZqYcNTWmlwqciOIFS4Q4PeMF8HCrcJe8jLYR/iq/C0qgSjhWEVSYxrEbz2NmN4XzyK86kuEd8SQGumDv5cr912dhWvcwPm2G7e9n+IdkkBEehmF1SK+Ok7rKVqbKuQ7Y8mS/BEc+pLnQYpfvRB+FfwzvyqsbeeMPfVh74tnuUKJwZa6PIrSREf4e2h56rbkKWdH4cKuD9rzVEwGyUrDCDUwpLJoqy+jsSiK9EhvHsn3Oto7vOGMjtdFk8rzdLyDh08oYZkVSIpG6Hi3oIvnbqD3xLPq9WqgvjyL/BgPgh9c4qr5GYzOGXHR7ByXrS5z8pI5Z23vcicwSSvORdKoVELvfqNSPTUtNDfUU1eSSlHcffxcDnPx4HxW7N3NBLPHHPUrIL3MsK+Q6j3xrJzRQquQtMa8SNJf3sbN/qwIo8OcvXJe7BLGxqe4bH4F6/sveBSVS2ZZgwjoHvRCSUJqba4UIppETsQD/JxPc+XwMjauGM+MWaMYO+0nJi/fwoqj1lxwC+ZpejnZtS3Uy3d2/7l9BPHcJgWysYSKvFDin1tx3+kUxmbnOX7pAmZXTmFudY5Tlo6Y3fXjSWw+KWWKYLTfU/fvSz2/BvleibmXDrifn8Oh5UOZPn4Eo4aPYPQIZSMZPWYyo6dvY+pmBy64xxBZIYRRzu4uyeo18ax6YJtrqSmKI/OVC74u5zG5IG3a+CwmV4y5ZGnCics2mNx4zKPIHOKLG6loFJGh3NDxEV2Cin0h87X5MWSG3MP7hhmXz53ggskJLloc59jJ3ezatZMdpy0wuhPAw5gcMkVw1qj47/iI7qD3xbPKjWpEpZGGqgJK0wOJfHQJ5zNL2LZtLT/ts+Ogaziv8ipR0d/DpyaQvNhSTUNlGtnRkhPdjLGyOsOxSxc5b2aEpdVpjK9c4Yz9A1z8EwjPq9E6xZrFiT3/7l4Uz4ogtjTS0lBOY0UaOZF38XM8gPGWdSz8aRcb97tyI7KYGHGipCgDQAVy+yhEY20lFVkhJL6wxvXSavbvXMCEoxbMvBHP/cQyqpsMxw16Vzyr59BRN+trqC6IJyvUBW+7nZzaOY1FBw4zw/YFZq8KKawxhOyT2G+uobkikUKpz09djnF5/wI2zJvAVJUPBw1n1NgZ/LRiD+svOGP7LIGQ3Hr5brm+HsRj74vn9jbd3FhHbXkG+QmPCXI9guXRhSzbuotJR+9h6pNIsuR2xQoM8Y3vQj6xpYGW2hJq5RnmRXvj526BvdVJTpw/w1Hzq8IRnvMkKp2Eompp323dJtq9Kp610bYmWlTer8gkO9IN/5uHubBjJhuWzmTnJQdswiuILBUB2uMmJs9M8keDcNTC2Ee8cr+MtfERjh0/ygnhxMbWlzAxPcD5ywc5ZXUNC3d/nibkk17ZTHUHN+guek88y1VJ3WwS4VWRGUicjzk3L21k39qpzJ8yilEjhjJs/ATGLlwpbduM407+eMYUkF3dRI3cU/d4o/hC8atm+c68MGKf2+J2/RRnzS5w7HI7vzKzOs9pK0fM777AJ6GINPFhlZqh0/EJ3UHvimeJw+ZqmoUHlyR64HfrBCYHF0uemsi0kcLfBg5l5OgpTF4leer8DWx84gjOVhpGfN/juqnObqOpOJZifzMeSH1ZOW8SQ4cM1/jiGMUZxUYNn8CYkfNYvfcKV55nElwEld2kJ7p47gZ6Szy3NVVTlx9O8stbuNpdwkiSwzlJQNa33bjn/ZBHnq7cu2nKtSsXuWDqhPnNFzyWRpxe3SbktzvB1yKNqYa6yiKKUuNJD3lE6KMzWJ+cx5IZA+g3ewl/O3afLU9ySSrpqah9F70mnltF5NdnU5bsx6tb5ty4cJKLpuacd7jJ9YcePHhyHw83W27ZX8Di0lnMbK/jLOQ3KLeOktpm8WFXvdjuw8rcUFKeWeHpeALT80c5emwn+/YtY8Oan5g/YzDjJoxhyOTFTN16kd32AbhFFZBT09ij3sReFc9tTTRVZlMa/5BXnuZcNjfisBDQi863cHr0EE+f+3g9sOP6tfNcumLGSTsPbCUZRhXWaKMekuO7BzUiVpdDU74/AQ9NOHtsLVs3LmbT+jVsXL/+jW3awaYDpuw18+VWUBbpNQ0awepuC+wt8dxSV0Rlpj+Rvg7YWRiLaL7ABTtn7Nwe4PHkAY88nHF1NMHS3IRzZrewvR9GUHolOXIz9V28GUVEqcujOjOA8McuOFtaYml5FRsXV1weufHA+xb3bplwzWQ/R/ZvZdOeI+yzcMXqeSKvciqoVNPD1Oe0f1yX0LviWVplq4ivmlIhGgnkxj8l6rm9CLAN7J4/hNHjp/DF8susu/aSF9nlVMoZPczEtEgurs4JITVQvue6MScun+ekrT029x9w77EHT7xduCu52FoIjpGVE8augXjHFZBX10KdfHlPZ5X0hnjWpvw2VtNUkU1JbjTxcc/wuX0G2z3TWDNmFAO/WsSMtXZYvSogXJyoakrPoK5XkfpKKguyyYkNJc7PkUcOOzi4diTjJw7hX1eeZKB1JM4xpVQaZgqQht4Tz+qepE601ojgK6AgKVrq9T1e3DnKxb1TmDHuW75bsI6+57w56Z9PXnUPxZGQetrUyHY8af4OPLbdj4nRVnbv38DWzctZu2Q68yYOYOzQ7+g/fBRDZqxh3i4LTjlIPAo3yKpt7SY3kBjuVfEssSi1uq6ygNKMKDKjPAn2NOOqCOd10wfSf9JSvt7oyHGPWOLKa6mVM3r6je+jtaFC0mUY6UG3eWBriunps1y0sMDE8Tq2rve47f2cp2HxxGQVkVdVr4m/7ta1XhPP0qZRs5qq8yjMTSQ24il+ridwPDqJtT/9lTFDBzD3gDnGQeW8KjGAeFbiqCiGjCDxj5kxp/cd4YSxBRcdb+P00IsHvo/w8r7JPdfL2Focwdj0AqedvLDzTyO6uJZK8V93L6G3xHNbSwOt1VmUpz/D/545lqf3cPTAFrbvXitcYx4rFoxl0rgfGCy+HDx+Jj+tPsR6Mw+sXqQTkVtFdUfd7AqkwtCo+FXCA4IfmWFueY4jJmZcvOmKk6en8Cs3Hrnb4XTtApevmHPE1gPLxwlE5FdR3oMZEL0nnlXRk/ZUEktawHV8bPdiarSFPZKntmxewbqlM5g/qT9jh3zNjyNGM3j6GubvNOeEvR/esQVkSp6S/5fr6/i4LkO1o3JKk54TdvUEdvvXsmXTWhYJn1v7Fm/csF5446YTnLVyxyO6kGShylKyuwVdPHcDhhfP6jxpTGUpZL2w5IH5drbuPMis3Ve57BHOy+wScioqKStMpizhDsG3TnByy3Y2bDLi9K2XuKfVkl3bPlrVNTTR2lJBVWE6GSEviPK256nrHox2T2b8sO/5y9hF/Oeh+2z1+VzEsyQxESsN2Y+J9TDm0tY1bFm1i6NXvXGKKCAmr0zIQD6VRREkvLiK66nlnNyxmo0Xb2P0JJPI/GppSF0ZgROHi3BubcgmM8wVL6vtmJ3ZzVFzWy7dvMsdDyfuOJ3C8tgiNs8fyogBffh66FwGLjfjwI1QXhVWo9J+d8cmek88t9DWWEJ56jPCbu7D6uQq5u67yCpLH26Hp5FaXklJVTllWaEk+V7E2XQXqzYdZPWJ6zi8yiKmsoVK1ZXYDbQ119JcEEpZqA1ut0zZbXpNRIsrdz0e4evzhCdPHreb7zN8g2IIiC8mrbheG/HubutTMLx4Voy1gZrcEJIensHx7BaWbznB8lNSHIOSiCwsp6CinPLcSArCHHhodYDdq7ayYbc5l58k8TS3gWK1ZrLj034b6hrViGIVDTnPSXtygWvGJ9i024LT9k95mlpISmk5JWUF2iyCjFeO3D63kh3zxjBtyQZmnbyBuW8CSeUNVMlld8ePvSueFdFuoK48m6IEP5KDXPB/eEmb3bFsWH9+6DuRvy66xDo7Q4hnObO1lsbyVNKeXuHBxRXs2LeHuadvce5RNOF5xRRUV1JekkluuAsvbu7n8L5dzNt8geM3A3mWU01evRCUngSjoFdGntWshNoS6gpjyUwOwO/lQ25a7eP8qsEs+rEvff8+n6nrDCmelRPUussiilJiSHj+iGD3i9w0W8Xa2T/St/9A/ufCEyKeoz4z8dwxYpSbQmqQL+Ge1ng4bOPAOiGF33/Jv09ey3dGIp4DDCCeW1RncBrFSQ9EOEub2ruGg6dOceyaE1ddnXC9aYKN8Rrtu2eJcP/xh/58/cNMxi4+w/E7ITzJrSe3rnujVb0rnlu0DqqqgmRyIx8T5+/IY9dTnNkwnVn9+/LFoEV8ub53xLPqZGxrrKIqJ5ykJ+bcubCZLUtWMXP+AfZaPMAxIJnIjGJKpM7V1InAb2gS0dnaPhuomxfRa+K5VdhDQwn1pUmkJr7iuc893Cy3YLH1BxYM/yd++KEf0/ZacM5A4rm1OpvKyOs8t97LlqVbmTLPiBNOgXglFZNSInymUvhkVTH5Sc8Idd3LlRPLWbj9BMsu3OdWdC6pUtO6y/B6RzxLjW0opy7zGelPL3Pt7D62bDvM3rOWmLq4cPOuLXccjnB271xWzfiRcT9+Rb8Bw/lq5l6mGz3E8WUmGTXNSBPrPNrkmTeVUZbyjHDnnVgeX86SQ5dYY+WLW5Rw8aoqSqtKKc54SdLTSxq/WrByL4sOOMr3pRNT3qSNQHcHvSae5Z7aalMoSnTnsd0Rzu9czoETxzlu6yB56gauLpKnLqzl4LoRzB7/PT/2+4HvfpzJmMWnOHI7FO+cOvIbJL66dVuqZpcJ3YomJegurkbnsTh6ias373DrqQ8PhS8+fs0bfV7w5FkkYXE55FbUaTWuu01CF8/dgMHFc6ukk9ZcyqVA+lzcyKnls5i78RRzL/txK6KQfCFj2uMQoUttBJkBV7Dbt0gS/iKWnnLg4KMUXubWUtflyBPC3VZPfbU05Ow0ChKfkhpsitPpxSwZ8SN9Ri/mb4fcPhPxrO69kbriWDJ8TnLn3AJWLF7JzA0mXHgUS2BZK8XtTpTbFuGX7E2w3TpMd81k+vKDzDvxUIRhHul1rdq6005BjQrU5dJa7E/0SxfsHW2xunmPB4HSOFOySM9NJSstgNiAq9w6v5ydU79hVN9BfDt0mzy3h9xNKidNEkZ3p4L1mnhuqaS1KISUJ6ZY75zBhsWzmX3sJoceZvIyr54aOUS75IZcqtPv4Ge/j/1z5rF0wS42Xg3AIbacrG7NhWmhub6E4qhHRDru46aDmTy7UO6E55CSXSBiVki4tL2iokKKRNiWlEuRqZXCpaYyda+W/AyDimd1jghZmlLJCXbg7oFF7F68gGk7LdjgGI5fhogv4TxaJmwspKX4BZFup7i0bjqrlq1lqelDLvlnk1DWvn7396E+qYaWxnSy/S15ZLSEfTt2MP+4Kxc8k0kVRazIp/bUJIfUF4QRd/cgtlsGM3/KEAbOXMd60/u4xlWSXCm5phsVrHfFs3q+zTTVVVBdlEZpzivSYu/iYbKDvcMHM+bbCXy56CLrDSGeW8Xj1WlUJbrhZbqRA4vGsGjjYRHm4dyMrqRQGqv23ERgNxUHkP7iEpY7lrN8ouTi/dcweqbaSB11PVTPvSOexY9NNTRVF4j4zyY9K4nghxe4dXAom8f3YcA380Q82xt+5Lm5muqSAorTYsmJuk3AnQMcXzqacT8M5l/nn2CQzecmntXIcx31laWUZiaRF+dNlM9ZruyWWtLnG76ZuJa+Ip5PGUA8tzZW0JL7lIyXViIaTDhq7oCtxwv8YlNIyEgjMyOWxKgn+Llf5urRWWyZ8S0Dv/maL4fNZ9bZO1yUZxld0tCNjnX57l4VzxKLavqvCK3K/ESKsgOIl1x5Xc3W6jeA/gMW8c0GR070gnhWS7rqs58T53ke6wPL2bhkMQs2nGLj+Yc4+aUQk18rsWiob2tH744819BcV0xpcQ5piRFEPTzHgzMTWTvpv0Q8D2DyHhHPgeWE9Eg8q3zWRn1xFGmP9nP92GxmLd7K6I2OWD5LJbFaeFP7gRpayxIpDjjPHePFzJw9h9Erj3LSI4ZnBa2UdrMcGF48t7flxuo88l7e4qXDIa5ammB8wweXF7GEpmSQJjkyOyWISD977lnt4Oiy4cwa+CVffD2e/rNPcuxmMC/UEgnhcZ2LGDmqUa63JJQUH1Mst0xi3YKZLDxxgyOPsggtqEc+SkNrXYbwq9v4Oexnx8QpzJmymR3X/HCKKSG7qntO7DXx3FRFU64faUE2XHcy54CJHZb3n/EsKonEzHQyM2NIivHF/4GJ5KnZkqe+Y+j33/HN8HlMN7rD+aACYkobtU28ugy1nKs6lcZUJ155X+H8lZtcvO6Hf2w6OaUl5Guc8TVvLKWopJqKauFW3Zgx8DY+H/Es5EmNStVXl1NUUESmkGlFqFPySkgpqiFfgqlBIyyql1UITqOIwvJSSgoKycgpIFmOTcouJL2gnILKRkmOan1a9xKkwcWzakyV/qQ/PY3ZmoksHT2BmTuvsOVBJn5Zch8/Vz6VaEsoTXmA76X5HF8xgp9W7WX22Ye4ROSTW9+xqUCXbksRUwmipnpaalNpyrmHn+UWdo8dwggRz18ddGPLZyGeJWCbiihO8sLXZCHHVw5n1MIdTDrmjkNoDtniwzefLEWgMJIcn6O4nJrNxPGzGTT3FMfvR+GT20BBZ3vqlXiuzaG18AXxsX7c8Y/hcXQe+RV1Hbueqt1/RaxUxRLvdZob2/qzYlg/+vVdxfx9d3CKKyOxXhphN8PGsOJZ3XH7XbfVZlMdYy9xsJotU0dKgl3MOvNn2EfVk1rRIfo0VNBc9Yo4j3NYLxrHhvEzGLfFjl234wnJqdJ6Yzt9aypom6uoL0kg6oEtjjuXc+nMOa74iE/TqsitEKLVpHY+VR0+ao2Xiltp6XJa+1X3DIYVz3J9EhctRQ8Jd9nJsRnDmTNhLrNP3+OkXxHxJWoH2Y5jhRa2NmaQJeTY7fBYti0cy+j1Z1ln649PapnW4fO7xFdNdW8toLEiiBCnPVxYPJJlq7aw4IoftmHFVDTK9XQcqrzVUlNERfhVAs2msW3mN/QdMIyxWy+z51EGvpkN1HRj1oDyU6+veVZ5qqVZrETa1Csib5zCZNwIZol4/nahYcRzmyIB2b5kPT6M6ebJTB82ijlbLmP0JI+AvDbeLGFV+SaV0qTbPDq6jEOjhzF17l4WmLzgZliB5BAR+x1Hdge9t+ZZ+VHIhlpr2txEYZQTgRajOTK3D4O/n8eUtYYUzwrqmtXMAbUWv5qWsmCy/U24tmEqCwYM5W/zTjD4sxLPCuqexI+Si1qb6mipTqAs/joPTq1gbb8+DBLx3P+0gcRzfTmNKV5kBFzj1pPHXAlMJyirkppGtRuv2hVY7chbS1VBFKmPT+EiOWT+0L/wRb8RDNhhxYYHKbzIEnHVDa7Tu+JZocOHatpsSx6VeT48P7eF4z8OYvSAhXxnYPGsln60NpRRlRVMgsdJHI/OZfGsGYydu5PN5l44R5aSWCx8q4drcz+E3l3zLFercqO0MW1pS9QNwu2WsHtOH34UX/602xDiWZ3YQnVeEOHOKzHZMYyfFm1k9M5bXAsUkSnc851dcWoyaIi5hrfpaql94xk6dRO7boTintmqCc3uOLh3xLM878oc0l648cLRhIfePjxNryClopnapvb2pfYsaapJIz/uHo9NV3F81ncM+8vf+XbgItabPOJWQg2p1Z28JXlOLVUZ1MXZ88J6rXCmQUwat4iN5r44RNeTrua1v0ZrqVCiYOI9jLGcPphVQ8YzY5cdB+7EEZpbrfGrrrpRtdveEM9t9RXUpTwhLdCe275PuPwiE/+MSirrmzrylNqBXbhFUTzJ3qclT41j0cgv+Lr/SL7fcoW1bsm8yKntYp5Sxwq3aamiNsufnAd7uGe9h12WLhxzjyYorZSqOtGF6jnK57ZzR+GM8rsh0tfnIZ7VjUoAqykj+SmRPPN6isONh5g4P+L83RfaNMcHsaXkiyhWDby1pY6awiyyggN57uGFza2HGDt7cu7GE2y9o/CKLSNBWGl3SKKCocWz2kGzMdmBELuF7Jr5A2OHT2DeMWeMXlYTUdwmQqzjQI0SqgQWSPj1JZiu78NPE6YzapkxZx7EEVTUQqmQu24FhhKCTdlycx68tNnO/nFDGS3i+evPRTw3V9JWHk6GnwVWG8axcMxQvltynMkWgdxPLKZGNZqOQxVay1OoCb+Cl8kypo4YzBfDl7DA9DEWYaUklzV10odykJBtJZTKyvJJK6wmt1JI8zthIA21uYi8YAuenhkiz3cwQ0bsYMWJR7inl5Mhx3a3k9uw4llBXUgrDcWRpD/cw409IhxEPIyeuIO9TuE8zGolTx5Pu2/U/9QLIU4hM8CKezvHsWvScAaM38P8449wi8knR80o6+y9qeln1WlUJtznoclBtoyfxsrFEodX7nLtucR2Sgm55VLohDRq0+c6TjMUDCme1bTAppI4qsKN8TSezLJR34sPF7PC4hm2MU1kVr39mYr0VFEU48ILk/EcWvAtQ8cukSJpj21gNlHlbb+/cVOrsJG6FOoz7/Lowgo2jxvE9MU7WWEfys24aiEB796DmrLYmu1Jmts2ji8bTN8+P/DF/P38ZBnE9cgiSurV2v+u+Vj5qXfF89uooqUhknjXs1iOH8lcEc/fGUQ8S4Gty6c4/CovLaaxd9ZQhvWfzYK9TtiGlRMjH/zmpQPyS1sRVblPeXllHZdn9+OnEfMYtcqWc+6xRJY1UNH10PkZvSae30N5gguhNmM4vqAPQ3pFPL8Nqc81ERS+tOD6puksEfH8xWcpnt+GXHNjGjUpLnifWc3GH75nqIjnAYYSzw211GdFURjvR2RqCiHFdRS8Hpp6C20NBTSk3CXUUUTK5H707zOEb9ebMP9mvNb5+GmK59dQn1VCXYkfQRe3c3rgYMYZXDxLHW4sozE/kDTfy9jvns7KKaMYPHsjPx1yxup5Kuk1bVT/3DlmWPSqeH4bat+chDvEXF/Bvvl9e0E8BxJ2fTmX1/3AT+PmMGTeJYzcYggsbKRE0vzPHb1VadRGXMXz0ibmjl/E6JlHOSrH+Ra2asd1B70lnhvrislJjCY28CWJyVnk17V+YBp2vfCiaFK9jnFr33Bm9Ps3vuk3niVn7mATWU1cRSfjs62BuvwwMh/t5ua+0UzvP5SRE4TnXA/lUXabfHfHcRrUbLJk4VfWuG0ezPZRfRkzYz/LTntyP7ZQ41dddaVqt70inhtrqcuJoSDBn6jUVNEiDeTWf8AnjaXUJt8mxHEje2cOZFC/ofxt1UXmOMfhnd7VPNX+/FoaM8kLv8nTE9M5t3EqS/cfZ4OVO9efxRGZXkx+uehBCXzFy7vy6b+Hz0c8t4g4rcokOyYQd0cRlqfMWXvUnAWnnVli/pzz3qnaZkUN6pUH5dnkRAXx+MYNIXCWrD9hwaKTdiy/cJ/jrmG4R5WSVNwsDu0exTKceFbHN1Nfmkjh8+N4HBvMsnHfMGT0TFacv49tXAsJQmLe1/h1RdEkPdiM3a6+TBv6IwPHb2CTrT+uyQ1kKXHTcVyX0CoPvCGTtgJ3Aq23sU/E86jPRjzLHdcV0JTpTrTrLg7MGMSwASP4as1F5jtH45tW8cvRu+osmpNuEXB1M8tGfs9XfcczfL8Tex6lE5pX24UNGeRANdKo9fy+PxKqflMjLpLogqzwPTeeoxvmMWezDUdvRBNaUkO5HNHdem148ayupIrKTB+CzBZhPOd7Jn4/hdFTjTjpnoBfSRuFEiZvwlHuubmIgqgb+Jz/iSNy/A/fz2DCKgssnqcRIZdR+bvNXflIdTBUUp/tR5rnSax2zGHidwMY1H88kxZtZNX+cxw3v8HVu748DJSEmFlCvpqu/cbRPYbhxLPcS0sd1dkBZN5fi93WPkwe3Idh09azzSGEu+kg4fVWjMjvrY1UpHgSeX0OZ5d/yfD+Ixiz6DhH7ifwOLuZ8t/jV/J9lEdSG2PFzaOzmTlkICPn7xbxHIZLfBU176+PaqqBspcUvjiH6aafGPFdP/5r7HoGHLjDxWcpZNQ2akW5K9ns44rnCprqwom9dQYLEc9zDCKelY+EIFUmkPzwBK6b+7NyyBAG9lvP8mMe3EqqIkVEy5slFur4amqKwoi+vR27jX2YPnAIA8btZaeNH15ZteTIc+tq9LzGxxHPbZTG3eSV1RiOzf8I4llt5lgVRn6QOQ4bp7FYxPPfP3fx3CaxXZ9CVdINPI1WsUHE8xBDimcRXY0VxdQU51JeXUmF3NeHBu7ahJRS7EfSo5OcmTucCd8PY/BGC5a5JuGbXv2Ji2f13IukLT0j4MI2Tol4HmtQ8azObKSxMoWCl1fwvbSQzWP7C0eYzKgt5mx3i8M/R31D7+FjiefWhkpq4lyJclzO3nnfG1g8q2nbkSS778Jhx3CmDx7BNwNWsfCoK2bP0ggTwaQ2nVR5tD4vmOT7J7A/vI5FS4+waK8rDi+zia9ppaabD7J31jw30tJcQ2V5BcX5FVRV1GvvVf7lJbZpr3EteWXGM5MZLB75Ld/1n8ays/e4Gl1NvOTL374t9a9qc9kySlO9eGk2n/Nz+zL6y4mMnCIcWGLwRWlbx9LC12iipamQfOFXz86O4PC0/2LU0AVM22DFlRfphAu/qu5ioes18dzSJO2rhNqSfCq0PNWqvbr0F5fXXEFr4XOSpMYaLxrDlP7D+WGtCYtdkvDJ6NoMGXUvbY1F1Bb6EeVxEpMVA1g25mtGTp7MuOVbWXPgAqcsnLG7+wTvV/FE5FSQX90i39HxAT3E5yGeNTSLCKmgNC2WV/ducfWiGZuOmTD7kC1zTtzl8K1QfDOKyS0vpDD+JS8f3eHcZSvWHTVlwRFLll64w3ancOyD8knIr6NGrV3rphMNJ56VL2qoKnhFnOt6rq75O7MHfs/Q0SvYaPYY1/RW0iWnv3+dTWVJ5D49xu1jI5g14mv6jJjFXONHmIdUklQhAdVxXJfwmYtnNRWmKsoaf6v5rJrwNd/8OJrvt1qy3j2FgKzqX25EUJ9PS7Yn4Tf2s3tsPwZ+MZTvV5uwwjGMZ+nl1Mrx3fLjO5Dn21ZJQ1UcsV5m3DiwgNNHj3HENZw7cdUUiABUcrW732NQ8axdhCIQWRTFuXB/13R2CREc8ZcFjJ1uzsUnaYSIUyS/v5MQW1tqKUl056XtVM4s/ysDvurHsFkHOXovDp88KQYfGCV5F+qLm2lpLKA47j7BDps5v3Esk4Z8S78+Yv0H8KOIkmGjxjNq5hpm7jTl5K0AvFNLyZBC3N3dT9+H4cRzkxSSMvHJQ0KuTOXsvP9gbN9BjJy1l4OuUTyWGlX0zvw28UBbM3XZL0i9vxHzTf0Y2f87Bs7YxFq7VyJ+6yhWVei30CzPrSSE2tAL2O2bwuiBA+gzeztzrINwjC7/5eYiSmzXRlEabsn1HZI7vupDn+8X8cMSa064RRFV3aC97qkrmVr56fMWz6olqtGvQF5d28WlCX2Y+ZdRDOizj3Vnn/Igu4Ys+dB376SFesnFKd77uHXga+YO/gt9By5k5Vl3HGOqSPxdQvXr0MVzz/BnEc/qmbc2KxItJF/uSXlIRcEvIqFJBERZAKneZ7k4bzRzfhjL7L0O7PPO4WWuCIJ/aPEsbbu1lArJsa8ctmC+7Acmf92XHwevYOkZN6xDC4gtrqWhvlb4h3yXtLW6+gbqm6Q+i99+9ncPbvnzF8/tN99anUlFqDU+l5ewauJgvhDe9N3kHSw4KZw8IIWoohLKKtPJDLuF+/l1GO1cx9ZzNzB6kEhITvv78Lt7Cb0jntXAh7Sr5haaGkUT/MaoSXNlDpVh1gRcWczScRPoN2QTm8x8uJNSq/H03w4P9a91tLWmkxflzP2dU9jV/3sG/p+5jJl2hYveKYSqPvB3PkR4bXMNxQnuhFmP4ezCf2bUj8MZs/Aox9zj8clvo6yLpVW1214Rz+/lKVV/P+iPFiksJf6kep3h8uKJLBg0jqk7r7LXM4egvMYuimcRwhUZlAlffeG0jf0rBjN5xJf079+H738Q3jhoGENHTmTszJUs22/GGbcwvBPLKK6T65Ovaf+mzn/f+/iMxLNyVhMNxdnkBnnz2NmOw2ctWHzIkrkH7dht64VzcDx+kVE883DDXsTYxhPmzDtqw8Jzt9ntFIh9sJCC/EaqurtDUwcMJ56VkyXZZPvy0nIRxtP/g8nfDWTY6K1st/TDPbuVLBEf74vn5oo0ivyNeWA0kXljvuTLIRMZddiFI74FRBepKcfdCIjPWTzL/TaWJlIUYITnuTEsGP2ffDloLIP32LNHyMOrvDpa3veJ2qipwJfo20c5PuFHRv3HAL6dfpy5F4UoJxZSLMd3MS/9Eq011JdEkR1+nbs2x9i3bSeHzW4KUSzR3qNar/h6D2BY8ayyiSS21nhyXlnjsOInVv17P0nuy5kw86r2TrxoEWHqXcpve1L1OJaleBLhOI1La/6VQV/+G/1/Ws9mhxDuJDeR97vdzOrf1bqiUsoyXxLvY4u73QmMT+9i3861bF4xm0WTBjC2/7/z5Vff8O+DZzNm43n2OQXwIFrIacc6/561aEOK53paW3KlQLrgfWw0+8f8OyO/HsvYOSc5cT+WZ8LdS97jS0o8N+a9JMdzD7Y7BkmB/IJvJi1nxmVfLELKxIe/kzOVeC4Noy7CFKcDM5g4oD9fT1rHuHPeWLzMp6yDMf18J0o8N8RRHn2V23vmseLvfRjw7zP5YexFDjmGEFxRp+0C35VMrfz0eYtnuca2bKpzPXl6YSOHvv+O8f9rPP2/O8aWC/48KaxF0Yv376S+PIPMpwdxP/YFi4b+D/r8MI7Zh5y4HFCiLbnpavS8hi6ee4Y/i3juNBrlvgp9SHxwmqMzpzNt0EI2GD/AKqKC+DIRB90InT+NeFYbslYnkBfmwI2DM1k75K/0+6+B/DBqLWtO2WDx0Iu7Pg95+MiV2y7O3Lh5l1teATyOSCVReE+F1OlG9eU9uOXPXzx3oKmSZqlVSY8vYbF7BnNG9uHbH8bQb8oGlh634txNN1wf3uKuiwXWl05iZmmJ/bNInmWICOzuO4E60DviufNolFxfHHQBH/PZzJ+zhB/nXuKYSzhBBQ3aiPFvh4f610raGqPJCBSfLB3Pqv/oR9//uYRxM69h8TSdGIkzVbveRmtzI2XJnsQ6juPyiv/G6AFfM2TGFrZcDxXR3kTxex3xvwfVbntlw7DOQnXy5fmQcP8UJ+bNYdawRaw2us+V8HLiK7o2oKlmezZX51OV9pzY59e4bnMCo+M72b91NZuWTBPe2I+R/f6Lv/71O74aPIfJGy9yxFFqeUoFWZJQ1N4GPWnUn5V4VtNjqS2hPiOU6KdumJnasvGIOQsOWrDhohPnXIQsujzkrIk9u09YsOyoFUtEOG9zfIntiwxiC+u0UZjmHiZ+w4lnNSyXR0n6I56emc/RoX9h/N+GM3TMHnbaBOKR1y6e3+8MU+K5NOA8D41+EvH8NX/5cRzf7bzGJvdUQkQodquwfebiub4ojmyfA7gd+4G5w/833wwey6gDzhz2KSIsv/GXI89KPAvZiL59hJMinsf+c1++G7KLmQfccYnKJVM+83cHTT8EEUKtTbU01pdRWZRAcsA1HlmsZN+OpYxdfYCVF+7i/CqDuOIGKoQsKv3cXeFnUPGskkizJLb6cDL9TLBcMIEF//sHfvjnFUycdQ1b/0wSxInqk992pdoxtSL1kRTrqZis+WcGf/m/6DN+KcstX+AQXUt2ZWfuTkSG+K25oVp753hZca7kinTS40OIeu7KQ9t9XNw+gWWTvmNg/770GTmXkauM2Gf/jCeZ1eQIs+kpKTCceK4R8ZxK1isH7m4Zydbv/4uhf/1JxPM5Tj1IwE9crNZ8veNDtUY6P5hcr31c3TmUkT9+yV/GLmbY6Qec9sv9/Z3LWyRSqxOFw7vy6NxK1g7rz4/D5jJoqy1H70drr6BSO8j//J1KPNdEUhJqgdPOWSz423f0/d8z6Tf0AoevveLVP6R4FhLbnEZl6l08T65m+1ffMuK/TxDxfJydlwLwK64Vev/LXFxfnk62iOeHx//OkmH/N9/0Hcyk3dYcf5JHcF7TO8+5K9DFc8/wjyae22pyaUl2Icx5HxvmrGX0lOMccX7Fk7xG8jr9yrt38acRz03ltOb6kOxxhNPLxzDyyy/5z68n0G/aRlYePMwpi+OcurSHfQfWsH7pHBbOXcSctQfYcO4G1s+TCM6to0CEn8pi3b2GP414lmfV1lBGRUYgMfdP4nBwCksmDuDHAertLFMYMmspM5evZ9Oh05y94cXd0FTi8ivbuU53iU4H/lDx3NZCbWGcxNA+bp0ex9zN25lw8iFXAzPJqmnWpij/NuSAtjLaql+R4nuRK3PHsFD41bf/YxkTZtlj8zydRGlT7zO31uYGylMeEX99HGYr/2/GDPgP+k9ZxQrrAI1f5aspkl2Aard/qHiuK6Ax4Rah1/ezdeEGxk87zgGHV3hLnsqXBtaFgWeB8MaWJqE/lRpvLC7MITcjkcyYQKJ8HHlks50zWyYxa5TE5zc/0v+HaUxdfYZ9d2K5n1KnDUr0JCQ/M/EsnlUbh1VmkB3lj5udIydPmrHysClLTlqz+ZIj2y7Ys+64JUsOWbHw1E122vtxLSCD4OxqbddZ7WO0/+0+DCeeVbdRNsVJ9/HaM5e9X/wXo//PSIaO2s8u2yAe5reSLbn1/V7jlvI0ygIu8OjMZBHP3/CvA8by75usWOqaQEB2TfcK22cunusKo8h4tAXX/X9jzpD/ybdDxjHm4E2O+hYTLq3yV8XznSOcEvE87r9/R58vNzFj/S2uv8oiVU7osnhW655FNNeKaM6Of0qg9zUcLq5n/4ofmSzf8cXIaQxZsJcNZ5y49iSWsII6iuT5dnfqsUHFs4qZJqmuVYGkPznL5dnjmPFP/en7TytFPNtJG8okSY6pVoe2n6FBiedKEc/R16diuvafGPzV/+CbsQuZb+KLdWgVmRXdb+/qtTr1pRnkJ/oR5m3FnUvrOb56NDPGD6ff6Dn8tMuCg95pPM1p6PFsEsOIZ3VstRS8BNL9bXFeOIK1//pXBv3bFMbNOc9pj0RelNO+qV/7Ce1QOx/nBZPnvZ9ru4YxcsCX/J9RC/j28B32P8kg/fcWPavdtpuKaSwOJezmQS4sGsD0YYP5Ycpmlp9zw1WESVJly5vN29Sa5wJ/sryPY7puHOP+/i1//2oB/WZZcco1kpiqBu05d8Wjyk+ftXhuk9bekEhFgjPuR5ex/otvGPzfJtLvuxPsEvHsX1KLkl2qs+ttNFSkk/PsII9O/I2lw/8vvv5+AKO3mbP/YSb+kry7RgbeQBfPPcM/lniWWlWaTJH/GbwslrNy62GmH7yPnb/kjtr2Vy92J3L+NOK5rpD6hJuEOYhwnfUj3/z9O/556DKGbr7MUftb3PN1x+PJbe7escLBZA9ndixh+fRZTJ++gfl7HTh1Nxr/zDKKhYh192n+ecSzQE2XFZ9WZfgR63WBqwdnsGZaH/r/+BX/8V0f/v79QIbPWsdqC09sXxWSUtbQ/Wf3Fv448SxOaymmPF3i88o2LDZOZ/0xM3a4p/IkrYrKJuF9HUf+OsQDLaWin/1J9jzD5VmjmPnPP/D1f18u/MqBq37pJMsxqu6+DSWeK0Q8JziNxXzl/5cx/f+Nvj8tY4HZc6zDqjsxs+9dqHb7R4rnpso0Cl6cw9N8Bet3HmHWwXvYPs8kTYqNeutMj9OK4kLSBupLksmP9yHE0wKn85vZt2QS0wYMZMTopYzbdpPjbkmEFtZ0eXna2/i8xLOGFtEolZRnxhF5/w6Ol66w+Zgpcw+ZMeewmfw0Z+5hS+afcmad5TMsfJOIKKhBcfguE6pfgWHFcxZFCW482DyHHf/yX4z8f7sunv9P/zH883q5Z5d47bUU3Spsn714jiDdYz239vw7swb9N74Z3EXx/P/7lj7/tp7py5xxDMokRU7o4owYictmmqtzqUj3I+aZPbdsDnNi30KWzx/EuOFf0Perv/DXLwfwxYilzD3mjFVoIRGlb7/+pmswvHgWYlnhR5r3Sc7PGsM0Ec99/rnr4vmrMQuYfcmHKyGVZPRAPLdDZdRmmmoLqUx6QPTNrZxZO5JxQ0TYz9rG6HPPuRJcRH5NY48KtOHEcxUtzfGkPrfGYfpwVv7PvzLw/3RePNuJeB4h4vn/HTGfvx9wZZd3Oqm/u2OY+rRGWiSmc19dw+vsFPbM6svoIeOYuOIY2+39ufkyhbjMfPKLSynIy6Ig3IXga6vZN38A3331Lf8yYg0Ddt7ikm/yzxuGdenOxU+ftXjWdiyPoyLWnntHlrBGxPPA/9518fyViOeRW83Y8yBDcnGDLp7fhi6eewHis5YqyrMCCbm1javn5rPJ1IbdHiki+KpELHU/Zv4s4rm1KofyV2Y8N5nK6slf8ZdvB/B/Zh5gmokPN8JzyK1poL65iaaGEhrynhH/4DTmyyawsN8gvuy/Qsi2A1aBqcTVtfxiZLCz+FOJZ0GbtOXmmiyKkx8TcHM/ZgemsGjuAAYO+YKv/vpvfDNgLKO2mLLDOYTHCcUU1jbTKMlQPcPuPsePL547rrS1jtbKCHJDHXA9tpOTy3dgZP2EW8lNJEpAdG7fYfmsZuETJc9JfCj8auYIpol4/rKL4nm0iOc+E4U/mj7lSmgVudVd86Zqt3+IeFaitk3Eam4wIbd3YXtuIdvNJU89SMQvs0bi0lDq7DXEL6JpWmuzqUh2x99+F8cXDGXy4DH8ffguFpx4wN2EQrKkPXRrhqngMxTPgrZGGosyKQx6jI+TA/vPWDDvkCmzD5gy8+AV5h6/zhYbH6z9UgnIrKRIkp5Gerrbat+DYadt51CS4o73wXns//avjP43Ec+juyae/00S1V82W7PiTiJBOf+g4rkoikyvHdw++BVzhvw/fNtZ8Xy7Qzz/rz70+W4LM7a44hSWTZp8ZndGntuaqoVQ51CcHUdSTBDBAQ/xemCLw8VNnFg5mBlSXL74bhB9lhxl5Y1IbidUdXstkMHFc3OpMOaXZPgaYzJnHLP+WQRql8Xzf9dGnheaPcUmvLpHI8/vQhpCfTplibfwNFvJvrk/MnHyIvqvtufw3ThiKmqpkaO6+22GHXlOJD3wKjeXj2D9X//K4P/o6sjzV/zLqIX0PXqXgz6ZpFf8nvhUnyax11KvtYOMQBvum27i0KopzJ8xhYkzljF/w162n77EKWtHzK9f5/rVfZgfGseiCX/j719/x3/O2MmYC0+5GpJPcTcW4ys/fd4jzxJfjUlUJt7E49gKNop4HvLfJvJDF8XzNyKex2634KBnFgE5jd3usNXFc8/wDyOeGytoLX5F5itH7CxOcNj4Apc9A/HOqSanprlHMfNnEc9Nwpdynx7C4/j3LB33r/y93xD6rDNhg2siPul1b8W5fENTIWXxD/A3WY7R/H78+G0/+k/fxh6XYB7lNJPX1R71DvyZxLNaYtVQnk5h5C2C75/FwsaUk5YWWNifw+z8enbNG8D0QV8waPRPjFxxmE3Wvlx/lU96eQNNPYibP0o8t9QXUxrtQtidw5hfPs8RswfcDswkrbJV2wCtcx2kclBrGW0VgSR7n8Nk9ijm9GDkeaH5c2wiasj/TEae25oqhPi8IivUHgcrI44aX8TUMwDPjApya9Uu5N2Pi99GM601GeRKfvS+sIA980bR5/upTFh7mcvPMwgRPvb7b4T5MD5D8azWRzbQWJxF0csn+N5w4MBZC+aLeJ5zyIxZh22Yf/oOR9Tu22nlZNe3US8MxpCPxnDiWSXOAsoyvPCTB3tizF+Y+OUIho3Zxy6bQB7mfVg8N1ekUqKteZ7M3DFf818Dx9F3lz3bPNIIza+TxtyNu/3MxXNDcbwUyKO4nxzEvOH/oq15Hn3AmSO/tua5QcRzQcea5/E/MuZf+vLdqD3MOurBrZg8suQzu1fWVHyq11apHRwbJVHVUF+VTV7kHYIcNnBq6SDGfPcNX4xbwygjLy7555BZ2dAtkm1Q8awld8kkTZFkBZhhs2gCi/6lP/3/90omiXi2FfGcID5Rn/y2K99d8/xPDPryf/D9hCWssvbHKaae7HfeadwTKNlSS2N1HImeRtzYM5GV0+fRb6Ix2yyDCSipQbjBL8RNZ2EY8awgeaAlnewwR9x3j2LHwL8w7IvJIp6NOf0ggRdS50ulqb3jQ23N80tyvfb+vOb5r+OXMPKMB2de5IkPO3lXbVKEmiqpL00iPewe3g7HubBvLesWL2bl2s1sOHiCfZfNOWNlwqVzKzmy9numDvkPvvhuMANWn2HFrVjck6qo7sYr/JSfPvsNw1oyqMq4z2Ojdez+5jtG/c+J9O9zon3Ns4hnbc1z+8E/482a57+xZNj/xbd9BzJ5jzUnffN5ld/+vuzuQBfPPcOfXjyr/V/En41l6RSEuRJ49zImVo4Y3QjgcUI+Bc3tr4rpScT8WcRzQ1kKmY93ce/Q31g0+p/4esBwhu2044BXHkE5TTS8TbBam6kriCTb6zCuB0cyod+/8e2IWSw19eZqdB2pld27ij+NeG5poLkqk/yoh/hePYTZ8W3st7qDsXcUgUmRJEbc5rHNFoxWDmHW8K/oP2Q0Q5afZK25Lx6xReTUtnZypPaX+OjiuVWeTWMxtQXhRHpZcufqScxuuWETlElkgbQ9iZvOR4M6soK22jDSnptivWAsS/7lB777H2pDVgdsRDwnyjHvMzdtzXPyI+Kuj8V0hRLP/86AqStZZRvA9dh6CrtIl1W7/bjiWR626LWG8gwKw24ReNsYc1snzqo8FZ9HngSk2oyve62qc2htqac2J5B0r0PY7pnKuD4DmTh/P0fvJ/IkD0q6OfT8GYpnoS8tFVRkxRHjcZcbZpZsPaGma5sxWxPP11ggpPPEvWiC86oplWdnaOpmOPGsrqyM8hw/Qq8u4fK8/2Rqv6EMG7ubXVb+PMwV8SwP9v2NFprKUyn0P8f90xNFPH/Fl0Pbd9s++jSfqGK123bHgV3BHyieVUHukXiWptcsBbLk5QUeX5jEojF/5ZtBYxmxz5GD0jpC8+t/2aHQIZ6jXI9wTMTziP/8kW9nnmDu5ac8SGrfbbu7QuwXaGukpSqe4tjruJ9YyiYhWD/+MJcBWxw5/CCO+LJabYp4Vx+bYcWzQrVcRBJ54VdxXj2FdX/5gcH/qkae7bEU8RwrPlHC5O3rVOJZbWgRLuL54up/ZtAX/4sBk1ew9XoId1NatHcaGwbqW6VYNZVQEnmdwCsr2LNgBT8MOMXGM348L6ymUI7obls3nHhuFF5bQH7sbZ6eGcvhSf/JyG8niniWOHeP50WpiOf3+JKa7t+QF0TWo11Ybx+kiedvflrBdBMfLEJKhYB3Mmeqa1WkWr3rvrqIktxkUuPCiXgVTGhoGGHR0UQnRxAR9Qjvaxu5sPQrpvf9O336zmTO/utcfFlMSHFLt3aB//zFs7rpXKoLHuNnspnjA75j0j9NZECfk2y7FIiviOcCOeL9O1HiOfPpIe4f+xsLh/5/6fPDUOYctudyUBkRJV0hV+9CF889w59/5FkR+zxK01/yzNkWx0sWXL/vz+OkUjKrm7Q47Wm0/FnEc2NZGlk+B3E72ofFY/6VbwaMYORuBw49KRSO2ELT2+JZfm0tT6Mq1JInlxcwbfBf+GLQRKadduN8QBnxJd2L0T+LeG6rK6Qu6T6vXE5xeOMOFq4wwujOK7yyq8irr6O+KoPy9McEuR7izIrBzBrwV/r9MJ7Ry05yWDi5d1ZjJ15f+WF8dPHcKGK3KJCiSDtcbjlw1u4RLgHJxJXUayPOXYtIdWy1pIs4Ml/ZcmPVJNb99Qf6/T/LGT/LEUsRz3FyzC/Fcz1lIp6jHMZycZmatv2fDJm5jm3OYRq/+uR321Z7iTSrAcJgnjpZc+3cZZwf+PMkqYSMyqZuDlB1EWpGaHUy1XGOeF5Yzar+3zF/1iYO34nDI4tux+NnJp5bJTlUUJubQKL/E27Z2HHspCnLDpkw66Apsw+KeD5kzfzTtzngHIxHQimpVa3UGq4mazCceFbH11FdGEHq/S04bfmGecP6M2TMajaZPcE1rZU0qRrvi+fGkgQynxzg5iHVu/cd34+Yx9wLnpiHVZKs3vPcnSrzR4tnaxtCQ0K7LZ5bq7OojXPg5bUVbPzpe/oNGEP/rVZsfJBKYHbNL0ee63JpyfIgxGkPW8f0pd+Xw/hhrTmrnSJ5nlGOWkrSHTd+GPIA24ppKHtFqP0BLk4dyKRRs/hhqx3778cQU1orUdD17zOseFbfrjJxASVJ9/A8PIuDw75n9N8XMHaGORd90witb6NMDnsTjuL3liqK4+8RYDmF00v+Qv8v+zBizn4hPXE8FTX7/muZegq1iVi1XF/Ure0c3rqdH34yZavpS14V12g7RHe3w8Nw4rl9T4ayVG+i7GZzadnfGddf2tKs/Ry+3fGe5/eSdVtLM7UZz0i8swqT9X0Y+UNfBs7YxjqHV9xMqP399zx3GuKdpnSq0u7w2GQxuyd/xdhBYxk66xh7bV/gk1VPjoRAU1fTmODzF8+qSJRTVxZKhNM+LGf1Yf5Xo/jx+32sP/uUh7kfes9zE3Wl8SQ+3MvNPV8xe9C/02/IXNacv49zfDVJqi+q48iuQhfPPcOfVzyrGFDvxS+iNOUF0Y9vcvPaDa5ef8Kz6Gxpv63UySGGiJQ/i3huqcqmOOgST85PYMXEL/h7/+H0EW6w6UEmz7Ma3h15Vp2PIgAbY6/zwmYNM4f/nS8GT2D6qXtcCCgV8dy9CvP5i2eVUdUrQWPJ8TmJq9FS5i3axei1jlg/TyFJ4k7rJ1d7R7QWUS7174XtFs4uGcKU76WejV7KjIteXHhVIhy1exfx8cSz3GtzBQ0lcaS/vI3PLXNs73hjq6b5ZtVQ9xvvgv5tNEi7yaYg9jZeh6dzcMT3DP73OYyZcYVLj1MIa2h77z3PonfkOoqEXwVfGc2pef8Po+R5jl18mBMP43km/Op3V3S9h48nntWNtNBcX0iZylM+N7lh64SVvTfPY7LIrmuhVtzcXU92CW0Sbw1ZNGY+5IXFQXYOGMu6ufsw9kjEp+CXgxmdxecjnsUBLY3VVOWkkPzMC3c7B46cucLKoxYsPG7FouOWLD1izqJDZsw/ZssGC08uPcnEN6WOoppWgz4kw4lnhVYay9MoDz6Hz7mxrJn0HUNHTWfJ2btYRjZK4fglma0tCCPu7hpstvZhyvDhDP5pFzscgnFPb9TW5HTrXj8Z8dzFrjQNcscNRbTkPSHR/agkmWGMHziCr1eeZ45jBN6p5b/c0boqnca46zy3XMe8EX352w8/MfaoK0d8soksrO/2DtgfhnqA1TRWJxL/4BQOm4awePlCRpy6w3GfVJLL5fvaD+wSDC+eVduspzrHn3D7FZit+IEpAyYxZsoxjt2L5WlRK4WSaN6Eo3otVw65YY54npzIgRk/8EP/hUzeeA3bl5nESshUdadJ/AbUtOTyWFdCXbZx5PQRhu+7w+H7SSRV1mtr1Lv7dYYTz23Cvxqpywsh//EObu4byIxhfRg+dQ2bRdy5JLeRU/NuG21raaA80Z2Qq1M5teQLhg+YwPjlxpx6lMyzvBYqu9sj8A4kBzYUU5vmSZL7fozXj2bc0EEMmrONecaPuBaYSWZ1s7bjZXd8+PmLZ/VEmqWNpmtr/j0ODmbDmEEM/mEly464cSO+kkRJTW82dVe/VFBV+JJw5y1Yr/6eKYNGM1DaygGHQJ7l11Igz627aUQXzz3Dn1M8q47xBpobhZDmhBHx8DqP7KxwffSCR7FFJJU1agMFWoiqWFEjLsKbFC9pkf/uavj8WcRzW10RdfE3CbVfw9bZP/JVv6H82wpjZl+P5kGyiM13RifkW0Q8Nyc4EXB1nYjnb/h26HQWX3yk7eGRUt71zKLw+YtnVYSaqM4LIMJ5HWa7JjB5xW7GHXDjekgWOfLBqv6qJWvtM+3SKI12xsd0PdvHDmbUkGkMOXCD7V4ZRBV1h+N9LPGslj6V01gSTXaMJx63b2FicY+7frHCC6spblRtqeNQQZu0EbXsSs1sVH/+7RhVvqmmMuMZEQ5LMV/5A+O+HcvIn45z4k40z4pbtbevvEE9LcKvcoRfPT42nH2T/s7IkcuZuc2eq8FZxAm/UgK0K/g44vl1niqiNDucyIeOkqeu4PLQD4+4EpLLGqS2tGmtvt1pKk+ppY7qPc9dz1O/CyWea9OoS3XjqYURW0dsYvsaa64HZBEpXKy6e0368xHPbeodsLlJpAb5ck8+96SRBStFLC85bc8mSzcOWokQMbZhzzETlisRfeYW2+zDsQ8s0B6Waq6GeiaGFc/SXGvzac50JfrmGg7NGcjE4eOYecieo35lhBa2aGsrOo4Ua6Aq+xmvri7g/Oq+jJu6iNHrLTF5kkyUJPZui5VPZtp2N8VzS7WwvXhygu1w2jGJ1ROH0HfBYSZees6d+ELKVdLoOFqhpSyRiuBLeJxbyE8/DueroWtYZfMc+/gq0qskgXYcZxioh1JDY20ySZ6ncd09jO071rLI9gVXQorIFYLVncdmWPH8Bk1l4kffI9w9Np7Fo4YxdsIGdtq/wi2thWxJNu2j+Op/JOYb4kl/bobLhrFsGz+WH2eeYslFf7ySSiiWcDUcNVDfJwm2MZecAFt8zNdy6uJZljqGCqkpo6Cu++tLFQwnnuVKpRA0lydTH3+Fp6ZzWTemL2PHLWDx5ceYhdeS/s4OFc2SN+T6I6/jazyGvfP7MXjKBuYcdsU5NJ8U8bfas6HHaCqloeAVCQ+MuL5vCgumjKafCPrZJ69j8iKNV/k1QrzbCUB38PmL53a01hdTHnudCPt5HF4whJH9JzN/5zUsXpYSUS7P4uckopRxHhVZ3ry4uJpzkwcwcexKxmxzxfRxCklVImQ6juwOdPHcM/z5xLN69k0S9wXkxz0nwtMJz9suuD30xS8+h6TKNu2NIm8iRFpAczUtDeVU1dZRUdtMQxd7hP8s4pmmSloKnpPkdYqzK8cytt9A/jL9IOMv+uEcVUhxU0s7kdcg3yLiuSHWHj/rDUwfMoJ+I9awRWr1ndQGsrvZqD9v8aw8rxKfcM+c5wRfW4LxxsGMX7SdsfvduR6aTXZzh3hWhyu0VdBa8ZK4e6e5MG0k84f8xOi9Tmx7lK4NTnQHvS6elchqLhbhHEXCKy8eud3F+a4vLj7xRGSVUf5a8L2G4pS1NTRUVVBX36B1PP/uoLTabK0oirxnh4RfTWTuoIGMGrueXVK73NJbyVW7nv6MSpqFX6U9M8dlxSA2DhnImAVGrDJ9wePkdn7V1cra++JZOaBRrruIgoQXRHq54OV6AzcPH57HSZ4Smq7oz5s4ac9TrY0VVNXUUq7yVLdH9n8F8h0txZGUhJjjZnmCZctN2XXmKT4JJRTItbw3EbDT+PTFs+bcRurzM8kMeIyXswPHjK+w7MgVFp6wZ4vVI0weR3L78Us8HG5gfd6MDcfNmXnEjkXGnhi5xwqhqqRQCoehnomhxXObBA7VYeQGmGC3dQZrJKCnbb3EqpsJeKdWU/1z0ZOk05pNcdwtPIzmsX/JOCZtPMkii2c8SCimRI5T3lUvDm+tL6e2vIDCfBEbeUUUVtRp5ORXp2S2SnJszILCBwTZbGe/Jp6X8PWh+2zxzSO5tHsJ79fwtnju8YZhGuT6W0spy3hGkO1qLmwYw8S5m5i09ybWQekkSY16s5NhM7V5r0h9sAeH/TOYNGIJI+eZcMErgcDSFvGj+FCRDyFGzfWVVJfmU1yQT25BKYXlddRKsVWxpPEHlXBbJFk01ksM1EkSbdQK1Ltulv9qLaGxPJRI99PY7ZnF8ZMnOeOdhFd6A2WijroTmr0lnqnLpybRhZcOmzgwbwSzp8xj+QUvzIOriC9rfZOw20pFkz0n6u4JLs2dyKqJi5l86C5HvLOILqgVH6m7EmKiOr7K8ykryiNPxWJpFZWiQtQonnZIa5O4Wo6pLqO0pJiisnJKqhqoUb282hcpNEg7yaMq/wUh987jdHorl6zsMAnK50V+q7SRXwvszsGQ4lnLWQ1qPtBz4tyOcX7hOBb9NIfph2+w3zOjfWZDx6GqQLbWJ5D6zASnXeNYv2Aq43ZYsP1GGIGSt1RnmHZnrY1CjKqoLSuiSEhXXn4xBRW1VIgfm35ru08Vn41l1OYGkep3hRunVrJp1jjGzVnL1KPXOf84hsiSWkoloLXc0X5Wl/FxxbOQivoI4lzPckXE81wlnhddYoN9MP45UoTliA/fh9yh2rykpozK4jyKhDDkFapYq6e+gxipOGySGMt7boTt7mksHDOCORvPctA9nSeZzVT9fCuNtNXFURjtyJ39S9k5fBxTlpxmpUME9+OFaEmu7a4vFT6OeIayeBdCrMdwfIESz/NFPDtgHVJIhDjxV0c1JL7bmmtoqimmQvyYl5NLfrH4saaJWomjXw1Htf6tOpyClxY4inheosTz/JMMto3mRmwZVd3dSegD+GjiWdWdhlSqk2/idWY1G5V4nrSOAUaPOR0oQld88mGIk9TmS1KnK0sKKJA2nVtYRmFlA9USO6q//B03ttaJcM6iMNWPAFdLbpldxPXRM7wSCkgsrqWyrlGEWJNYA40NddRXFlGRHUdeSgzJ2YWkljZK/e/aqM7HE8/quRdTW/ycwIvbOS3iedyARXy38TonH8YRL9xFsYIPf6Pck+RG1aarSlSblngsKKFU2rSaXtvO+eppq08mP+oG9w4vYNuYgQwYtZKR269rr+aLq27R3tTQjmaay+IpDbyM58U1TBuznFFzLnDmfgyBJc10c9b2RxPPbY1SI+JvE319Bfvmt4vnyXuuYBxUQWipcIZfbdPNUmKqRAgWUVKQQ3ZOHvll1ZTVtYuZ9qEH8VNBMFG31mOxYyRTZ6xm9Bo7zJ8mE1vX8t5O0VW01oSR6HER85k/sX7UPJYYuXPGv5DEsu7Vg94Vz80SI6XU5wWTHnybO843MLHx4O7zWOKKKygUblfbINxOrqGxoZ4G4YUVwgszU5JJSUghp6iMsuZW4TTCDRtrhHsXUVbQXqfzS6upqm/SNsZqlf9rqc6mLknxqy3smT6IGZPmsOqiJ+Yh1SQJv/oZLYU0lj4j8s4Jzk0cxqIhM5l77DYnH2cQVyj8quOwrqB3xbO6QclTtVkUZ/gTdNeGO5ZmuDzwxSv+TZ6qEx+256la6iqKqMyOJT81mqSsAlJKGyRPNdPSpNbPSw4rypFrkzxaVE655NJ6KdJvBm+krSpfV5RQLnm9qKRc2r3i52/zRjmmtoTiBG/C3Y5gY32KVaaenPFMJ66oVhPO3a06n7x4bq2vprkwjaxQPx7cuMGZ81dYK+J44UkH1lo8wdgjlqeJRaQkShA/foDHNVt2GVn8/MqqXfYvuB5aQERhEzUGmotraPGsiqh6gXp1hh+vHPZhtnMhizYeYfoJD64FZZFWpaZTCrmrFzJf/ILkJxcw3b6cdUvXsf7iXS6+yCGquEHbXVP7uGoRP6leRHuZY3vZiNOXr2HtG8/T9FpJAmqKRPtx76Bj5Lk1/z4BVtvY+3rk+cA9tvjkkPgp77atQd2UNMryJAqCLfG+soFtS5axYOVJTt8JwTu3kVxJ8Or9hG1NeRTE3OOp6XKMN89m3oZzrL0cwKO4YvKEYKgGKplUHFlAcfIzXt41w8niEmcs7mL9KIbwgirUviHqvYU0VdEmyaJIEkBMZCRRCemkFdVRKg9De6+hOFsV99aqJKrT3PC5Z4rR2YtcdPLkcWKJ9rqD+vYK32X0mnhukcRcFktmoB13Ti3i4Pp5zNhvy7abcRJDFVoPrBLGrZVqapYdnta72LxoJYvXnOLQ3QgeSJzlay+vFn+3VEpyfEm8lxn3bc9y4aItNncDeJFWoa2vbVBT5uqlSBSEEv/Sjbuu9tjfdsfZN5bAZBGI1SJ2WiXR1uZRnvqYuCdCGh3Oc9HaHgfvYF7m1lAgn/ObArITMKx4lnPEhzTmUhh1D5/L6zixaSkzN19gpflzHslzz5NK2iD5QsVOQ9ZDgpyPcGzFPJav2s3Wa8+xCy8mvbL9fcsqttvqcqnN8iPC8yoOF89ibHYdc+9YfFPKKapr+kUBUJfQ2tIol5FHVfYLIjwu4WS0hn0bVrJk7T42nb+JxfN4AnPKpehLwVfntJ/aLSg/fTzxXK6NPMfcMsL89cjzgousvxbUPvKs7r3jyDeQv7TV0NqQRVbEA545XcBWhNVZW09cAlNIEtGizmtpaRJf51CV7kuA414ubZ7Msi37WGT2HJvgfLJUz7j6/MZK6rIeS1yfwnjnGubP2szaM3exCSskpkTyUA/fW/lxxHMrpbE3CLYcw7F5SjzPFfFsh2Xwb488tzXX01QcTUGYCMbr5zlndFbymRcu4XLvxUJwfi2fCbGi8s3I86LXI8/WkTjFlHzGI8/JVCU642m0sn3kecIaBpz24qS/COJfGXlWNaGtKpWyJC/8XMyxNhY/2rpj459JaHaV1pHQHkHSMttEPJankhnigt+t01y1OMN5y2tc93zOk4gkIhJTSUlJITU1RchbPKmJoUQFeuHp7Mjt6648CkkitKQJtf9EV0LoY488Vxc+w//CNk6KeB6jRp7XO3DigYiXsl8beVZ/ETFTk0NOuBuBt85ha3qR81duczsgidjSJsrl8WjdYi3lVOe8JNblIHZbJzB9zDiGzd7FjqvPcE+pIadWfZbk41ZVr14Qd3sPTicWs3CDESuMfbkbnkd2ndTqbjbrjzryHHuLSIe3R57NORdYRoiE/q+NPKu9hOpzAknzv4aLpREnTl3AzC2IB/HlpFeIAFEdwoKmiiRyAy7ibryE1dMXMGH6IY7cCMYrq074lXj6NedpLKA+14uQm6c4PncZq2fv5dD1l9wWX+d2da5xB3pNPEtbRHJ+tXpXuocdjpeFX5jYYursiduLMCKkbSWmpZKq2phYUmI08eGe+Pu64Oj6ALv7wkOS8qWONggPKaEiL0y4ty33rIwxNr3OJdeXPE8p0mq+tgO+cMbWiniNX90+Pod96+Yy78g1trvG8yJTnp8co/zdKL4uibbH02Y3q6YtYubCoxy7E4ZHajUFUoe6A/Vsekc8yzNtqaFO7Wwf4sqLmye5ZmHEJWs7HB49kzyVSERSR55SJnkqJe5Ve55yspc85cLDkETCRDwXi6iuKU4g7YUDPg6nMblojqmDHBeVS4rw5fa6JHW6tZTy3AhifVzxumnHVZcH3HoeRUhmmfinRbhlI82SG0rTnvLS2w6bK+c5b+eMhX8CT7OrKapv1nLsL/NK5/DpimdtxESSZkEGuaHi/NtOnLpozYrDao3zNdaYeXDKPQH36DJy1PvjyguoiQvg1YNbGMlxyw5cZt7hK6y+7M7x+0m4RVcIoW8fDeius17D4OK5oxA1V+dRHHVLAu84R48cYeluU4xdn+IVk0JsZgYZySGkBDniZX+cY7uPsOOgNVe84vDPb9I2IXrt2ebSBEpfXuDh+VksnTKUoVOXsdDMF7OQclLK1fqMjgM1SJFubhJXV1BXFEFJjA3u50SYD+/PgEEz+Os6a1bdjCAwrZCy2gbqROwYog/C8OJZQS6ssYzWklekv7iK45GtHN60i2OWd7AWoeCvhG1WPOlJvrx8ZIH9ifWcPrCbg3aPsZXKklTasdZZFYo2EaBNSaQFWnLj4HQ2zpkkxfYA88884l5iIRnSPurU867Lo6UogPjAm7jYW2ItjdPpoT/eoUJqUrJJyy0gr0BEVNpLMsNv4eF5j4u3g7kTLAVfCLtGxLvpz14Tz+JHNbJUnRNOspcxrubbWXXoDGtM7mDvF05oRgZp2WlkRIsf3c9iY3KAtQcustPioRTbIjJFzKopwCrBtTQVkB9xAx/jGRxePJyxE5ay8IAdtq/yiamG6iaJWhGQ9ake+Lke5/jeJazavJnlB69w+toj7j97SXB0BJExgYT6XOOx0zHsXZ244huNb7Ikz45FqN104c8wqHjWoM5rpaEkkZwgaVM2h9i+5wTrjtth/fgVz5PSSMxMJSPej7inltwyPcLuLUfZbXST68HZhJe2UqkRP/VRQuoq4qiIVG1zKWsnDWfMzPXMuPAE84Bc0ioahGIrP7T3xNZVllBemENuhnrXuA8vfa1xMtnLie1r2bnvNPutPLkRnE5CeV17R4h63up7egDlp94Vz3KNImxbGtTyhzRKc0R02Ozh2IiBjP/rML6YdIAl5z24F5VJelWdNlunWULrTduS/2grlfoeToT7Sa5sGs+imbMYtvQc2+yD8Muv0aZwtb+HtIkmycUF4S4ioHcKkdzP0lPXOHXHj6fxKSRkZ5KZGkXMczs87A9x4NhxVhy1x9QrhoiSetTAihb+PUCviec2IV0ifpsbqqmpzCflhQUPTg5l+6S/88NXExm95DwnPeN4klVNflUTDU0Sex2nvoYa3WpIf0SS2zbObxrLqGHDmbDJmB1uyXimNYjwe/sMRabVaEw9DVUFVGU+JvbhMS4tH8PU7/rz7xN30O+UF+Z+yaQVV8lzE9/L6T3sC+tF8awuTEzaZIsIosaaUuEoktsDL+N8YDYLv/2SvsMW8N3O6+y9H0NUbik1jc3azAbVp/D6ttQ72VuLgsj2M8Z21wwWjR3NqOVHWXg1jNtRxRRrHWIS742lVBfFkBx0g/sX1nJm0xQ27tzMmlOXOWFmg/U1O+xFTChBodk1Kxytz2F69jA7t4kdscTueSyhFS2UqSbQBb/2uniWz2htEoJbV05DTQK58a7cP7aS7X37MfCrKXwx7zy7HPzwSy8kr7ZRm9Wg+lrffLXKeXVC2GOJuXcYh52jWDxlImPm7mO33QsRdPXkSi1qjyWJwaocKmJcCXHawdHVU5g/bzHrTtpw4UE4PjEZpOdK7sgMI0p8/cBqBxZntnHgmjtm/jnEFNRqy+e6e9e9J57liqRNax1a0qaritPJemGJz4WZbPjpC/p835fh606z50EyXinVFFc10iiJUXnu7XtpqcmjKsaRl9dWsmP+UAYMGcf0o9c54ZtHcJ6aTdd+dFtDCXVZT4i+b8ylLetYN38Tey66cOVJNM9i00nKzCI7O53spCDiXlzjnrXUm21G7DpyE+fAjPalhRKH3YHhxbPkNhGyTRXpFCU8IuT+OS7s2sDKOatYv/UgR00tMLl6DTt7EYCv25eDPddszbC8sJXTxzew8aQle68F4R1bQHVLnbSZTAri7/Do/BIOLRzF6KkbmLjrBlYBqcTXtdD+5k5VmGqpzg0nxcuIW2bb2HDcmHVmd3EKiCQiK0v4VSrJUU8Idpf8YHKQpTvPs+HSQ9xj8kmv6f4myAYXz1pjFPbRVE5VQRTJgc7cv7SBM+vGs2nbBtafvMDx13lKfPfaj46SpxwsVZ46wvbN+9kuuu7as1jCKhspaaqkLOMpwVfXcHnNICaPn8nkNcac8YgloEjymNZv0Ehri9ToBE+eW+3h8o4lLFm3hVVHTTnv4o2bfwRB0bFER/oR4ufA7dvXOHv1HtYPwwgtqKBEGkB3p2u/xqcrnoUEtpVlkh8bhM8dVy5dtmKrBOriE/asMPHk6J0oHsaVkFre1L77nTi8uSyZ1FdPcbFx5MhxM1YevcKSM7fYaBOE1fMMEsvqtbXPv9Yx3lkYXDx3QG0c1FiRQX7Cc148sMX+ymkumptwwdqGqzdscbx5BfMrFzlvZomZkxeuTxMIz6xE7b/wZiMbub9SNe3oPB7nZkgxGcjgqYuYZ/oYk1flJL0jnlVPqyRGEc5lOYlkhN4h+M4OLm0fz9SB3/LVN6P468SdzDnmjP3TCEKzi8mVIlYtwdtTctM74lmgRgKahNDkRZPm54rP9ctYmZ/nnPjR3MkeWxc7IQIXsLQwxsTKjmv3nuIbm0OKxNGb99vKz7ZK+ZwEEc8WQoqmsm7WBAbO3MfsUw+5nVBIunxNXYskjco0GtPu8vLucYz2L2PF0vksWL6WVfuMOGh9iyv3vHggsf8swI+AkGACo5MISSkhQ4R6fcsviWlX0HviWUHIYb0Qt9wQkoJdcb1+jssWUrCsrTBxtMfJRQTZdVMuWl7m3FUnrjx4ycOoXDIk+am1P2qDGpVUlXjOC3fG+8w09i8Yyohxi5iz9ypWL/OIksvUpls3FtGY94JQdyNMdk1hxeyRjBo7hQlTl7BoxWY2HTrJUUtbLG/fxs3nCc8i4wnPqSBPArGnIuU1DC+e29Gq3vNdnEh6xEO8XcywMTuDsRD6y1dtcBAf2jtJgTa7xAULeyxv+eH+UvJUUZ0mwBRR1KDEc7mI53Br3I0XsWbqIEbOXsUUYy9MX+SIeK6Xcqx6YmuoLckgLzaAcB8X3G+YYmF1juOmxpy1tMHK+T53fEIJjM8js6yOGmnE3azBv0Bvi+c2udbm+irqitMoThEB9vQCdscXsmRwX77/t+/5W995TN14kXP3/HmcKARDHFgt1VH1zbR/gPzSViIkMYRw92OYi+ibL+1l8KIzbLoWyFMRz/lyyOuOQSVuGspTKEj04vlDS7mn05y9IrFuJznkxlVcblpwxcaEc5ZWXHTx5PqLRMKzKymXHKLutqdh2SviWZ3fJASvuoDKgjhS473xtNvP2eU/Mq//f9Lnix/oP30jyy3uY+GXRGhGOUVCtpvfa2SaeE57ROLdrZzbOIoRQwczdtMZtt5L4mFa/VviWf1UOaCW2tJ8ipLDSHhqjpvpUrbMGsCgr7/jX/vOoe8SY/Zf8+ZRVCqJJVWUarMyeubD3hXPqm42UF9dRnFGLKlBTvg6buT4Gslb33zB3/pM4NuZB1l1/g63XoqwKyqnQO0uK/H1um5q4rkwkOznZ7HZO5UFk4YzfMUh5lq/wiWiiKJaeU4t5dSVRJP01ILbZ5awe95Apgz9lmEjhzN04lQmTZ3OrBkzmD1jpmazlE2fwuzJY/lpxmxGrD7G4ovu3ArP1HbhVmSxKz7tbfHcKvWzqbqEmvx44XluBN8/xvlNk5n+3Td89W+D+GLIKpYeuYq1cI/A9BJyK1uok8b1Nn/RxHN5DFF3D3Jt23DmTxrP8Fm72X7Vj4eZ9dqrPn9OAc11NFdmUJzoS9C9izhc2M2pY3vYf/o0J23tMHW9yTVnM65du4CpjRVWrh48iEgjpri+x8swek08q45+EWLNdYWUFSaK4PLG12435huHMG/of/DNt9/xzewtzL7ohrlPHJEZxdKm66R9aQvTfkZLTT5V0Y4EXVvONomzfoNHMvWIPUd9cnn5lnhG4r61No/StCDCHl3jtvlxLhod5fjZc5yyvIqpsxM3btlw47oZFpbCD6wcMJe6djcgnbiCWqlr7Z1I3YGhxbPi2y0VSZTGu+PrcIDT66XtjBjE4L6DGTZ8LBOlfU3T2lZ7G2tvXzOZMXUyU8YOYPrMKSw9epWTD1IJyqylSe3p0JJBQdwtHhovFL4zguGT1zFmu7Pk0xRia0Q8/+x04Vd1pdTkhZIY7MId5wtcsjjLWRsb4VcOON0UceloymXx4blrzph7vOJBVD5pomFUHuku7zG8eFbVTupBWQyJvipPLWXP/MH8NOgrhg4fyrCJU8SPMzS/vZ2nZk+bwqwp45k8czZDVxxhwfn7uISrjedEz7WJHsnwIdBmFRdWDmDCmGmMXyk6wT0av8LmDvEsObiljLK054Q778dq9zTmTBvFyEmTmDJ3MYvW7WTjEWOOWthx5a4bLs8C8QxPJTKrlLLGZqlK7dmjJ/i0xXN5ppCXUHw9n3DV6QGXr3tw1uUZlx/FcTe8SAKpQXstQ7sTGiQ5llKSlUjEk6fcu/EAUzne6IYv5++Gc/dVFmmV9draGc33PUBviWcNkgzVWrKytAAS/Z1wc7mK7VVrHJytcbxlh5n9TazvPMMnWgSfEMRKIRpvikk7WqpyqEq4T4jarOHkTnafEvHoEYF7cjW5aufxn49XowJq1LlcxHMS6eEPCX5wBrsLW9i5aRXLVmxh+eYzHDa9jat/pCaec6pFPCsS0PEJ3UWviWcNcl9C8FrV+7DjnvL8wTWcHUyxE+Fsc9MRG1sr7J1vcft5NIGpZRTWNGk+fONG9R+14shs8hMe8dzpBBZGR9h52gEj1xD8s8s1ol2vdlmsyaYpy4foJ+ZcvbSbfdvXsn79RjbuPyXi+SYWdz1x93nGs5BogpMKSC+qpaZBRLc8hPceW5fRu+JZQa6zpZqa0mSyIu7g7ymCz1mSkYMdzjcsRUBfw8L1Ic5PI3mVUUaemiojgfHmvsQ/kuBKUyXB3T6JvfFe9h46zxn7x3gmlmqvYatTVUBEX3NVKpnh93hsdwjTQ2vYvGo5K5esYvWarWw+eIpjNjew8w3FP7WYDFVARBW9H/c9QW+JZ4W21iYRYlkUJTwmzMeBm4622F6z5rqIZzsXe8wc7uD46JXEYglZ1a2oGVnvfKuKFYkztRTj1f3zmBntYv85U47fDeNBbDH5NUICNPFcrYnn3Bh/wp7cEPFsxpWrVzCyd8HhcTB+asZEqZBNzXc9j7+30fviuVUIYod4TnpK3HNrblsdZP+WtSxfsJrly/aw9/RVbDxf8jQxTxPPVUKcf+6AUBmrtZLWumTSXt3gofUhjE+dYteFO1g+SSBKYkotN3tD7OSXtgZtg6biND+intlz97YtVxztsXOywUWenY2LK1YPXuAVnSm5uJEqOdlQMdlr4lkEhBLPFfki+uK8eeJqgtWhTRxYtYi1K1ay5sBpDjl5cj0wkXARz4VKPL93U0qENOaHkRNky12rA+zfv4vD1rexeZlDSEHjW69yUT9bNPFcI+K5MCWceD8HPB0PcubgWtasWsPCFftYv89ShMtTHsekkfAZiee6qlKKMuJIDr6L321VIzayYc0KlqzYwZqdlzht+wC3kHii8tvFs5TeN/GhlvKUJVAScwdvxxMYn9zLPtPrnPVK4kVaORUNIq5by6U9RwspteLepU2c2LaENcuXsGzpMon35awQW/khWyrHbNrFiosuHPeM42V2hbbsq6v+7G3xrHYp1sRznojnmIeEeppge34X29euZun8daxcfZjjZi44v4jipRLPFZIbRWu+CUfVuBtoqM4gLciJx7b7OXvsMHuNpM4/juFVUSPFknreXKr8Ivyqua6M6pxQUoJceOikOtLPcNH+GpddXLB1Ep7lch0n7yA8o/LIKK+nQT5AfVNP0NviuUW9EqgwQRutfOZ6HodTazm8cZHUz7UsPWjMrmsPue4XQ1RGkbRpEc/v3VNrfVn76xKfyDMwlmewdz8nnH24EVVCYqmIjbdzQJvax6SMmoIoMsLc8L4p51ic56LEiImTowg/a+EHtlg63cHuUTDPk4tJE9VYrfJjx0d0BwYfeZY2rInnBA98rhtxbtcatqxYLLxD2tfS9va1QvTL221L+5vYsoUL2LhtD2edfXGLrSS9XAhhmzzLlkLKs18Q6nYex/P72XvcgoNXn/MwNo/M+ha01QEaVCw2y+OrkdyYSGbEPV48shFeaoeF8CsnZyvhBw5ccX2E87MoQqQNF9S3Lyl860l0GYYXz0pNVVEv4jnhqQ33Lm/m1PZlrJIctFT5scNfb/tQM8lhK5fJv0ueWnbhJkcfxUqeqqRerb2nhurCKOK9TblrupMjB09y2OQ2LsHpxLw1c0EtwawvSiJbdV46HOb0gTVsWLeM1aukjm3czqbDxhyxkRgUfuqXUkC26D81YNDTtvwan654lsSqpm03VEkBzy8iI6uA1OxCUnJLSCuqpqBSra2SItZxeHtINdNUX0OVkLiC3ELScwpJzikmNa+cvDIp4M3tuyr2JPgUelU8K0hyapPkVF8u4i0nnfR0ERaZaWRmZ5KckUNaXiklNY3a+psPeVP1ajfVFFCeL0QxOY64lDRSCispqGmfPvYuWsXVjTQKMa0pK6A0L5GMlChioyMIi4gmPDKJhNQcsktEYNcJYWiS4iPf21Mf9q54FmhFpZ7m2lJKCzLJzkiRGFLTtjNJS0sjIzuX3NIayiUhfbgnVDzbJkWmupCSnGTxSaL4MYcUiaXSOok9OUd7/UezPPfaIiqLUuWYGGKjwggPCyMsOp7otCxSctRGY0UUlVVSWi3E8vXQlgHQ++JZQZJNS52QnHwqijLIzMogJT1dfsr9yu+pOUVkqw0xhO3+0o/iH61zRq0DSiY7NZ54tT4vu5gi8cWbHlS1NrqWusp8SrITSE+IIDo8hLBXoYSGRBAuvowTX2YUV1Ii1UNbk25g9KZ4VlAzPFrqSiQ3ZZEjcai16aw00iUeU7LyyCqsoEJuTA3a/fIrxY/SppslzsoLUklPiSM+NZ2kfCmoIm7U+lqtJIiv1bTmuopiygqyyM1KkWeVSrzkjCzxXZkQeAPuyfQOels8K6eokSo1LV1talNZlE5OhsRFdCThoRFEhMUQl5hBekGJNrJSI45Uo85vfKkcK2RFrcsqz6UwM5HUlGSJq3wyi6uplLymTRfuOPoNmoWYClEszSQ/V/JHpnyH5OIsif+0bBHpBeWUSCyrmDSka3tt2rbU1Ta1Nq++gurKAgpz5D7ioomLCCMyIpzI+ETipdZmlVZRpmqMmrb9/teqTsMGITplWeRnJhCfEEdippBDERpqGcW7y71VDmiftq1GaiuLMynIiiMpPpKIiEhCw2OJik0jTfJIQWUNlQ2SL+T8t7l6d9B74llBxZLcZ5P4p0ZtKJlLcU4CaUlRREaquhlDZEwKSRl55EreL69X8dGeH3++LTlfbU7XWJVPUU6SxKLkxnSpL0U1Wn1pUs9JvfJH7UJbmEpuUgTxUaES62GEhqq8GKJZyK9ZZAxhaXkkyueVd6zt6yp6WzyrwGptahAxK7FUkS85S2p0sppqKW06JFLiMV64R7bkrgpKRDWr2qno45tvVr+pZWe11JblUJSVQEqSxG9KlrTpKspVJ8zbPu+A9jql5ioaKvPE91Lb0+LlWUk+zcqW9i21LTubbPnOoupmya0dJ/UQvTttW9VPtQFTFdUVhRRlJ5OZGEGCcJFI8WVYfDIxmfmaHytqpB2qztP2M3+G6uBtkTpdraZ9S52OS4gX7qxG+xu1GXm/fNzimOYaid9CiX15bqmJJKWnkaSWF0puzJQalyp1LVPqWpnaHPQDz6GrMLh4ljhoVW1QeIeqB4lRkv/CQglT7aujjX2wbSl79YqIqFjhd6I1qluo6xgNVYK8qb6UivxUclIlNyZlkJBVQmF1ffu+RdoXv0a7R9qEXzUKvyovVLxK/Kb4lVrSJXw/NVf4VYnwK4llQ4SiwcWzdg9SIxsrpSankZvcHnehKk+F/EaeEq6v/YyMJjQ1lwQtT0kca5EpdV7qS5XU+Px0qS2JySSmSy4tr9U27HzTNyvPr6FWdFKucPQEkuMjiFS8MVS+M0x4Y0wisWm5whurKJX80Sj33tMYfBufrnj+hNHr4vkfAG+LZ1WQDS6e/wHwccTzPwZ6Wzz/2dHr4vkfDB9nw7A/L3pXPP9joNfF8z8QPtaGYX9m9NqGYf9AMLx4/seFLp67AV089xy/EM/WNlpPlS6eOw9dPBsOunjuGXTxbFjo4rln0MVzz6GLZ8NBF889hy6eew5dPBsOunjuBnTx3HPo4rnn0MWz4aCL555BF8+GhS6eewZdPPccung2HHTx3HPo4rnn0MWz4aCL525AF889hy6eew5dPBsOunjuGXTxbFjo4rln0MVzz6GLZ8NBF889hy6eew5dPBsOunjuBnTx3HP0+oZh/wDQxbPhoIvnnkEXz4aFLp57Bl089xy6eDYcdPHcc+jiuefQxbPhoIvnbkAXzz2HLp57Dl08Gw66eO4ZdPFsWOjiuWfQxXPPoYtnw0EXzz2HLp57Dl08Gw66eO4GdPHcc+jiuefQxbPhoIvnnkEXz4aFLp57Bl089xy6eDYcdPHcc+jiuefQxbPhoIvnbkAXzz2HLp57Dl08Gw66eO4ZdPFsWOjiuWfQxXPPoYtnw0EXzz2HLp57Dl08Gw66eO4GdPHcc+jiuefQxbPhoIvnnkEXz4aFLp57Bl089xy6eDYcdPHcc+jiuefQxbPh0PviecVKrXA9831KXm7unyLpqgL8tnhWxaS+vr7jX3V0Bqoo+/r6Ynz2rFaQba1tCAsJpaGhoeMIHb8HRRArpHAoov1aPN9xvU11VXXHETo6i+ysLC5fvKSJZ5Wvgl8GU1aiF+WuoFR15AQGYmNtzZFDh7h04QIRERF/ig7Tj42X4sfX4tnz0SPq9PrSJSiekZSYxBVzC44dOYq5qRk+T55QIjGqo/OorKoiTgTLtatXNfFsdOo0iYmJHf+qo7NQHRFPRDC/Fs+qI6dABEuTiGodnYPqgIiLi8PRwYFzZ85yTrjjQw8PyoVL6ug8WqUeK77ztnguKCjo+FcdnYXSKqrz5sD+/Zw6eZL7bm6kpqQYRjw72juwYslSLhqfx8vTU/vgmpoaTWh+zpadnc3lS5eYPWMGx44eJTIyUiOOanTgQ8fr9ktTjfWRkMLTEnSK3CiSE+gfoPUiqqD80Dm6vWtVQmzy8vK0jqntW7YyW8TzTecbFBcVf/B43X7dkpOSOH/OmA1r13Hx/AX8nvuRnZOt9S5+6Hjd3jXlp9zcXJ4+faqN9h3Yu0+bVaJG8FWc6m26a+b3/DlLFi5i5rRpPLh/X5thoteXzpmKNcUzoiKjtA6xQwcOaB05imjnSO1Wo30fOk+3d03FW6HU6bDQUKwsLVmzchUnjh0nKipKa+96m+68VVdXa/G3dvVqqdVbtN8z0tK1QYQPHa/bL62yspLwsDBsbWy02YpKsNy7e0cbwVej0h86R7d3TbXbaqnHiu+ogatpP03G6OQpMtLTP3i8br9uSqvcvXOHPbt2cfTwYVxv3SIxIYFGQ4hnu6tXmTtrNof2H8D+2jWeCsmPjo4mPj5O60H63CxeWXw8gQEBGJ0+zYK5czmwb782rS40JESb3vSh83R7Y699+PLlS603e/fOnWzfuk0ryir4VHJUI/kfOle3N6b8GC0kRo303bxxk80bNjJv9mysrlwhRGJR+Vgd86FzdXtjyk/qp6+PL0cOHWblsuUcOXyEG843eOH/Qpsm9v45ur1rWpyJn1RedHJy4vjRY2xcv579e/ZqMyGiRcTobbpz9rrN3r19R1vytHD+Ahzs7DUBE6PXl05ZgrRpxTM8RKAcOXiIzRs3cujgAa4K6Q7w99dGTj90nm7vmuIzwVKn1YjKGSMjVixdxr69+7ROb5UXlZ8/dJ5u75qqMarDQU03XrVihZYb7YQPP3/2jMjw8A+eo9u7pnyoZjGpjsQzp43YtWOnZpZXLAgSDpQkYvBD5+n2rql2GxUZKVrMl5NHj2v67NiRI7zw82vnjHqb7pQpP4WHh0n8XdEGXLZt2YKV5RXCRL/UN7yZPdtt8WxjZcWk8RNYs3Ilhw8c0KZDqgTidN0RJ8fP1K5f1+5rj4i+hfPma4VZ9Wqrwqymk3zwHN3eNeVDa2ttRGD5kqUsWbSYDevWaaPQqsPFWQj4B8/T7R1zsLPTGq/qhV0pRHv+nDnadFm1Pk35+EPn6PaedfhJTevctGEj8+fOY70kQyUAr5ibc11v05021XGjZuKsX7OGBfPmsXrFSs6cOqXFqd6mu2ZqSp0Szyo3qvZ9Tdq0Xl86Z87SppWvLpw3Zu2q1dr0dzVqenD/fi1f6rHYOVO5T+1foISzIoeK76g6feniRa7Lvys/f+g83d4z8ZPivWqJ35JFizTOozpqzUxNNRH9wXN0e8dUrClfqdHSLRs3sWzJEs2Pe/fs0WZF3HB2/uB5ur1rqt3aSz02MzFh59btWpveuX275kONC+ltulOm4lEN/u3fu4/FCxZqnWJnJU+qzlk1Kv0a3RPPjU1YW1oxduQo5sycqQX61s2b2SfBfmDfvs/adu/axcply7Q1pspxWzZt0kZQ9+3d+8HjdfulKX8pcqh8qKYmzp87V0TLWvbu3q2RnA+do9u7pnyl1jqrtWhq1HnmtOkaWdwjfz+w/8Pn6PZhU35cvHAR06dOE1/O0Toj1FT4/Xqb7rSpIrxaisi8WbOZMWWq5kc1yqJyvt6mu2aqpsyfM5e5M2ZqPdtqapheXzpnKtZUu1Ud28qHM6dOZe7MWaxcukyLUT0WO2fKh8pf69asYdH8+eLHadrPrSKk1SY5uh87b8qXqlN2zqxZwoclFqW+bBE+rNXqDxyv27umYm3vnt1aPVkwd57wxukad1SzIXbt2MHBAwc+eJ5u75pqt4o3btu8hWWLl2hL/ZQ2U6P4Hzpetw+bikfVdlctWy61ZbY2Y1HNiPB/YQjx3NSkbQI1adx4lojAVARATXFW6xRUT+bnbEePHNF6GqZNnsxSIdwqGI8fO8bpU6c+eLxuv7TjR4+yRcjNonnztWSoGrAq1GrXOrWL4ofO0e1dU746cviwNiqgxPO0ST+xaf0GrYf7Q8fr9ut26OBBrRDPmjZDy1ebN27SdoxWyzM+dLxu75n4Sa37UaJv6aLFzBfhrIrznp27tBklepvumu3auVMjiGpNmiLZqk3r9aXzpny1f88erU2rGTlq/fgmId5qZo4ei50z5UPVplVdXrF0iRaPqm2r/QxUXtT92HlTvty2ZasmnFXnohKBaqOhk3qt7rSdPHmiY+BqucYbF89foPGd48LH9VjsnKl2e1LqsRJ/aj+qqcIZFfdW7fxDx+v266b496YNGyQOhS/KTzWzOuTVK8OIZzVVRU2ZOn7kKNftHXjx/Lk2XzwpMVFbWP25mbpuZWodkEp6asRUjQh4enpq6zHUerUPnafbu6Z8GBoSqk0LO7hvH3uFYJ85dZq7d+9qa4PUZgYfOk+3d02tgXwVHMytmzdZv2atNjKgNl5TrwfSYvUD5+j2rr3ORWqDJrX2R/Ukqp+uLrd4GRSkret7/xzd3rXXPlSxePPGDW33fDVqr6Ymurvd19ZZ6W26c6b5Uuy2qysL5sxl+uQp2vQwtSmlWmf1oXN0e9eUD1UtVq8DOnn8BDu2befE0aPa8oFgadPqdSIfOk+3d03Fm9rLRe0oe87ojEay9+3Zi7eXl+TFBL1Nd9JUPCreq+JPdeasX70G+2t2+Pv7a2vzP3SObu+aWtOs+M4jj4fakhY1XVaZGqALFcGSkpLywfN0e9cUn1H12O/ZM20/CLXbthrUVNONVZy+ruW6/bYpPymtouJPjeKrJag3nZ21uqM2r3uNbovnt9/z7PvER9vpUm03r14j8TlbYWHhO6+qUolR7e6pXsnyoeN1+6WpnerUq0N+fs+zpZXWa/P6faa6/b6pRlqq3q374sXPr6pyveVKZUXlB4/X7dctMyPjrfc8XyYoMEjbtVy9YuRDx+v2rik/qVf4KUKo1k+9fs+z2kBDxemHztHt101tvvb6VVVqZ15VX/RY7LwpnqEEnvnP73k20cR0UVGReo/VL47X7Zem+Ex5eTkxIvCu2rx5z7MS1Xosds0UH/b29Pz5VVWqA0K9ulVtLvSh43X7pand3ZWAdrC3a3/Ps5h6z656043Ch87R7V1T7bZJ6rHiO2+/qkq9teVDx+v266a0ivv9+734nmcRz6/f86y2lFdf+rmjRASL2uxBiWflNP09z12Heu2A/p7nnkF7z7OQm/ff81xTXdNxhI7OQnXs/eI9z6X6e567AtUhpr/n2TB4/z3Pen3pGhTP+NB7nl8TbR2dg3rNnBpN0d/z3DMo0fL+e57Va8D09zx3Htp7nuN/+Z5n9bovHZ2Hes+z4juqc1uJZzWrRA0I6ugalFZRs3L27+9F8axGnp/6+JKbk/OnIFKq9/rtkWfVE6t6IVSC1NE5qB5tHx+fNyPPVtaEvgrR3kOno3NQbUy9/zXQ3/9n8Xz7litVlVUdR+joLLIyM98aeTbR3k9cUlzyp+js+xhQflKdigEBAdoOva9HntUSgreLiY7OQXWIvRbP6lWIr2fk6OgcFM9ITEjU3jnePvJsqgkWNTtCR+eg+IwSJuqVVeoNDq9HntVggR6LXYMSfo+9vH4Wz2oWhBpMUu8c19E5qBlMasqxWg6qjTwLd1TiRXXa6ugcVLttlnqs+M7bI8/5+fkdR+joLJRWUTMfenXkWRfPOt6HLp57Dl08Gw66eO4ZdPFsWOjiuWfQxXPPoYtnw0EXzz2HLp57Dl08Gw66eO4GdPHcc+jiuefQxbPhoIvnnkEXz4aFLp57Bl089xy6eDYcdPHcc+jiuefQxbPhoIvnbkAXzz2HLp57Dl08Gw66eO4ZdPFsWOjiuWfQxXPPoYtnw0EXzz2HLp57jj+FeP5EUo8unruBP1Q8S/C3tbbQ2tJEY0ODfG+9WKP4u6XzMaV9RrM8iyYtqTc1q5/tvzc3t8jfW2mVD+vNGP10xbO6cfGl+Ef5RMWx2tSj3Tev/SQ+Egf1to9+D5+2eFY7Eqo47fCjZq/9KDHXJCa54LUf/2h8duK5rbUjD7z2r/zU/KnarvJ9x3EfCZ+ueO7Idc2NNDc2aDlTbfTx29Yoxymfij+VLzs+6WPi0xLPyocq1sSHTZ31oZiQXeXD5j+gjX+S4lnFkvixRbVX8U9nY7GhsZnGjprzMd34WYpn5WPJjSovKj+/yY3yN+U/uew/4spVzfvsxLPmS4m7Dp7YrNWWP8Z/Cp+2eFaOaY+75iapHx21Rl1zo+I6r9vvH+W8Dnw+4ll8pWqOqtv1tTTU11EvebChWXK7kll/sB8VdPHcDfxh4llIYGtDFbUl6eQmBREV4seToCieReeSVSbB9buJTQg30rjry6guiCc7OZSI6AhCIsOIig4hMjaKkLh0ErJLKa5ppl5up7di9FMVz23NdTRV5VCaHUtM+Evt9VkhkZGEx4QTGRlAeFQIYQnpJOdVUFonpOZ3fd57+CTFs3KGFFzEj/XlORSkhhMf/ZKgiDBeih+jYsWPUWG8ElEVnpROSlE1JRJoimD/kfgsxLN2KfI/bSJKaoupzE8kM1H8GaZiNJqI5ExSCsul7TZSK4GpRPTHwqcpnhWZqaa6MJGsiCeE+rrx6P497kuRU4XuF+bmxn23B7i7PcHz0StexeSQUdFIlYRzy0cOg09HPCsS00h9WSpFST5EBrjh5fEB3/1syof3xcfia68nBESnkFDUIG28I3w/Ej458SzEmsYKGsvSyVL50MMdr7t3cf+gD1WMdvjRwwu3p2H4RGWRUlxFjTDHj8WgPjvxrK6puYaGyjyKM2JJjpa8GB5GUHQCsen55BRXU1nfhJKrH/vqPzvxrGp4Yzl1ZRlkJoUTGx1JQlYxOUItaiSd/xFP/5MVzxrfqaKpMpvc1DAig5/wzMuDRx4eeHj74h0k3Ccxm2ThOhWi/j5W+/0QPn3xrCKriRbJlTXFaeQmvCTihafUwxeEpeSTWt5K9R/ZF/8WdPHcDXx08axGmVqahTCXUVsUT0aoK15Xd3PuyEZWHr3CNrtAfFJKKBcB8ltX0NbaQHNDCWXZIcT52fDg5nlMbCw4b2WOrf0lLO2ucO7aHew8QwlIKSarqom6Xnpcn554FpLY0kB9aQb5MY8IdL+C5YVTnDlnzAUbG8ztzbG2Po6Z5VkuOt7GyTec4IxScmtaaPiDeMQnKZ5VB01TJY2lyWRFPsLX9SI2Fqc4Zm6GkbUVto4WWNtc4oLpRUzEjzf84glOr6BUKrISKH+QKz998ayuo7WJ1sZKasszyUv2J+KpI25OlzE3ucBF62tYuj/lQXgqsfnVIqBbaP6Iiu/TE8/q3utpqkklLcCe+2eWcnzlJOZOn8y0KdOYPnUaM942Eakzpkxi2qQp/DRxBTPnneSY1XO80qrJbBDi1sv9ou/j0xHPzVrNKIhyIfDqcs5vn8iC2VOYPHmq+HBqh//UT2XKh5OZPvknJo2ZwIy5q9htcQ+nqHLiyj9uB8QnJ55bRSRVxFEqfnxgsp8dM6azYPwkZk5Rfnwdj2/8OF38OO2nCUyZPpuJG86w2uIpdyLzKBDy/bFa0+cjnlXtVh2KZVTmCz+KfIK/mzXOVucwNpO6Y3eL696vCIjNI7O0lhrhSYrWfMw7+OzEc0sNLSWRZIfe5K7NcS6fP4v1wzCeZLSRXS3//JHzocKnKZ5baG2ooLEwnvxIDx7fMuLSibVsXTGbRbNmMWPRUhbsPMwuq7vYPI8lNLec0qZWmv+g5vPpimdxiKZzlEaRdlwQQ3qgM962ezi1ZQ67d+/G+F4wHmnN5H8iKzt18dwNfDzxrFqYkOCGampKsihKfUV6hBtPXY5zduNE5kweQ7+Fh5h6zpu7sQUU/1avdFsLjZVZFCd68tLLClMLI46ZXOaSswv27ve4/+gm91xF3EjBuWhty3mXp9wKTiO5rJ5auQxDN/ZPTjw3VtFYEE1qwD3uWIhgPn6CE8bmXLC7iaO7B3e97kpDucpNx7OYmR3HWATCJbcA3CJzyahpFJquntTHxaclnlWAqKRRTXV+GCnPbfFwOMm5C6c4bGLOpRuuOD5wx8Nb/Hj/Gs725zC9YITRKUusnJ/xNKGU9MpW6v+g115+8uK5pZKWimRyY73xd7fmxrWLmFmbYmpjhfX161x3f4RbQDiBybmkl9RRWS+54COO5n9y4lmN9DUVUpfzlICbxzglwnn59HFMn7+YuUtXsmzFCla9tpWrWLV0Mctnj2HOhP4MGjaN7yYeYbOZL96Z1eRKTDZ95DD4NMSzZLTmchrKo4l2P8u1bePYNGcUk+fOZ9rC5SxbvvyND5UtW8zK+ZNZMHkYP343mG8HLmLFmds4inKOF8L9Mfn2pyae25qqqc/wJunhQUz2LWLCqCmMnziH+UuWsWzlSlb+7Efl00UsnS8iekxfxg79noGL9zLHxI+bEUUUN7Z8tDrz6YtndQ0iXpoqqcyNIPXVXTxvXcHa/CKm5maYX7vGFZfbODx6yuPgBGLSSyioaqBerv1j1+rPRzyrVtpIc20m+WF2+Nqs4+CqcSxevITtNj5cj28jqVzuRxfPqlHT1lBIZVY40d43cbtyBrPz+zl8dDM7NixgxdyJ/DRxMMMnjmL8knUsPWHJBc9IfLNqKKhrnwL/sfFJimetGQtHaKygviKH3MxYooLu4Wu/DbNtQ5kz/L+YOH0WG619cIiXa69pP+2Phi6eu4GPK56baagppiQtlNTgO4Q+vcINs61snjqUYX2H8vdp+5l81os7vyWeRTi3NVVQluxLqMs+rhhtYva+y6yy9ME9Oo2UslLyS3LJS/AhzuM4Nud3sXzbabZedueefG6aKMNaAw8bfGriua0yjfJQO7zN97Jx0XYWrbmE8b0wHicXk1JYRnF5MaXFmWSE3+OZ3SbOHVvH/L2X2GH/HJ/sSgrk0X/sEehPSzyLA1pVl3QGWSF2uBst4NiOZaw0suOo+DEwWZJiaRmlZUWU5UWRG30bT9O9HJ09hy3rT3DSLR6P1HqKVFHp+MSPiU9TPGtVRf6/lqbSeIqiXXhip3pi57N2wxbWnXPC1COYgMRM0otKKa6soaqukYamduH8MS/9kxPPraJ4K+IpC7cXUrOfLWs2sG6HiOirt7h6+wF33Ny1wqfMw8OD+7edcDHdxsU9E1iwdi2DNttx+E4U0aV11IgfP3bV+iTEc1sjbbWpVGc8wPfqMU6IuNuycR/7zBwwuemGq9v9Dh8+0Oz+HWfu2R7B6thSZk9fRv/Jp9ht84Kn+dVafvyYV//JiOeOZ9ZSV0xB2HX8r63j1OGNTNl6ms3nr2Fz+y63PcR3HX70eODGg/vXuXH1FEabp7FhxhAW7jVmx71knqTXU/MRe3E+bfGs8lszLY1qCVoksU/MuX1xHTs3rGThuoPssbyH08skQtILySstp7xa2nF9M43CkVR9+dhX/9mI57YG4Yp5VGT78MJxE+fX9mX64P9g6JifWHLZE+u4NhIqdPGsobma5uJwMoNvcPPCSQ5t2ceJi5aYu9zk5i0bHM33c3zrRBb99AXDfvyO/hPmM/XELY775hBR2EDTH6CeP0nxrNAsvL82h8r8aKLCnuF17wo3z8zi+OL/ZHSf/5eB42ew6soT7HXx/Hnj4488V1FdlE5RRjBZKR48cz3JiRljmfL1ML6beqB95DnuV8SzKnJN5bQWh5LgdQmrndPZtGops07c45BnHpFF9TTIYa1SiFqrE6lJssPTYgdbZi9i6eoT7L8djlt6LUW1hh0S/HTEs3pmTdTnB5F0bzvW++cwZf4uZu5xwTm8vePgzRVJsS54RbbXQWyOLmDi7KXM2GOBeXAeYVJQKj+yRvikxLNa99OQByXPibhzAKOlw1i2eLGW8K6EVZFVrdbbd6C1jJbyMKJuH8d86QhWLVzKPONHGD/PJbFcxJ8c8rHLyqcpniU2m8poq4ghM8CO+5c2cmTzIhav3crak9aYeobzLLWEfLX2vuOMPwqfjnhWz6t9CUZtRiApnue5Z2fMWdvbWHkEE5iYRXJ2HjlCXPPzleVSWJRPdloEEe4ncTGaxLaju5lu4oNZQC45NU0fPRYVPgXxrPZ/aMwLpjDYAo8bJhiZOGN66wWPI1OJzcwl+2cf5muWnRZL0jNzHlutZM22XYzYfgsjj0TiK+up7fjMj4VPRzyrilxFQ1UC0T43uG1qxBVrO0y9gvGITiEuO4esgjxyNT8WUJCfRX5mEDF+djjsXcOeKbPYddIBs5clhJW0aRvmfCx86iPPLWp6Z/oz4h8Zc/XQOjYvWsKSjUfZbHoPO/9kIgvrKPtEtOnnIp5b6oupzfIm8fGh/3977/1XRZbt/f8d3+eH+9zn+9x7586dmZ7ppN3apm7bnNuEOeecM0kFFTCQQVAQVERQMICASlIkieScc85wOAfO+9n7qK1229220Idipj6vWQd7qDpUrVp7r/WuvWsX9kemsmjSnxj+t3/n6++ms8I+lIsCnrNFraNV4Zm+rkba8sLIinDH74o3Fy7dJzAqlcTcQgqKcyhIDSPprhVe5j+wesIXfPPVBL5ee5bVl5N5WNhMe6/IU6++y1hSLDz3inbQ00RXa6U4tjzS4+/y9MpW3Hd9xYxRf2LUdBM2uD7iSpYKz79bfTqtSECttAhYqK5tEAmnkbLaFmqaO2nT9RqKxzftWYSknLbXp0HT1U5zQxM1NS/3Ka1roaKh0/CMpUbApgze3xvAxn3mWd5h7TOcv07bICyHkniRWFfPY+OX3zNGwPM821+D5170bQV0ZFzmkctGts+ZwAKTzey4lMC17F7K2l5Djdizr1YA9FNS/E/gsGgaG+asYZ55IFYRpeTWdw7o4ljKgWfpsS5aisOI91iMzc6JTF99hMXW97iTVUeVKFYkzBkkY6oli/ZER/xPr2H21JlMX2fJ8fASHtUKbvxxQ+NIcfDcXgglN4m5uJXtM8cyZ+EGtl5+aphqUymq5zex0yUKn2IKIx3wPzyBLWsXMtn0KkeCc3kh4mww5h4oD55Fu9WJorsulbrnXtyz38r+xbMwWbaVlWf8Of8wm7S6Nhq1ou8bwHb5sVIWPMtnp7ppKogn+4EHsQ+DCMss50VdN609cuVTufquTuQiuSJvD719nXQ0ZJIedJKrh2dgamXJzsAMArI7aNR8XL7qrxQBz9puusoSqIq7REzMPW4klxJd0mlYkK7nbR8aTENXczFlkeeJcFjE7uPmLHB5gkdCDVWd2p/npT9YioFnw5nX0d2WTkpsJEHXIngYnUFuUwcNPVq6X/nxpS976dW2o22Ip+SpJ5cOHGD7jN0cvxBKUH4HhaJjNCa0KBaeRa7p62mmtSKR9DtWXDWdy5ZFK5hpYslux3D80mrIadYaRukHY2rs+6R4eJa1ja6DjpoM8h67EGy/gv0bxzP5+0/4xyf/yVfjp7PSIdQw8qzC80v1djbSlBlO3hN/YpNTeFzYRkGThg75pgZtD9r2SjTVEWQGW3Bq0URmDhvPlybHmWcfyZ2cOppVeH4j2Z/Idt0n8rNWQ6eIw5rI09yznsbC8Z8wevoi1rs+VOH5Y9Td3EjliySeiQ7I91YYF/wfYR/wDP/YfFIb2pEp8R3I0QuY7amgujiNJ+FR+N8Mw9k/jHO3n+L6MI/wrAaq20XhJDd/udcHy7jw/Lbk/ftSalL9uLl+IduGfc+3vwnPGrqrnlFyfxdXDk5k/rhJIsmYYhmUawA+UU++kjx2AV29+eQ/tMdv22S2T5/GuPnWrLeP5XFJEzXiyweqq1cWPHfSVHifJ84/YLX6K6ZMX8/cnT5cjq8iSzTU9teXVcZVaw4dya7ctN7KnAnLmLXGDpuoMmKbMfpdbsXBc2s+FPgS6bSBtZPH8O3UVcy3CeFCXD3Fra9H8OSngGdtMcXR9tw6OoEdm5Yw7WQg5qFFZDd0YcTBlR+lLHiWiaQDXXshZYlXeXB+JUeXTGX6+GXM2+qIVWgWj6u7RfJ96U0lSDnwLCX7f53IGdU0FmeKIrWU6g4trfL/frXFG8n2X0dnZRQxLsc4u9gES3MnLsRUEVvTR8cgreyiiGnb8nV9bTW0V2ZSVV1GUYuWOtHHve4O31W78HcqmYHHuHFoGkdOnGL/nULu5nfRrHn/Hn+klAPP8pp1ouupo1bAUkFuDVV17b88u0Yu1FT2gNwHZzh12IL5Kx2wup5EfIOGBuFGGa3GkuLg+dWf1PeIWKt8Sv4jWzyOzGHl9JFMWbqHBcfv4B5dSkFb75taUCFSLDy/vow6UVs2Z1CVGsR1dwcO7jmA6cHl7No8nonf/oORE2eywj5Ehee31Kftpru+hObqAmqbW6kRl7LrnWYhikd9DlXxHnitmcPqEZMZtdKWeRcTCC1oGvBHIT9Est0qc8Gwd6VvKaDl2Xki7GazeMI/VHjuDzx31lRQGHGP4ItuHDzlwiKziyyxvIGpTxz3ChsoFMcrn00zSEJOTwM9dSmkPbmHu/Ml9pk7s8LMhRV2t9jnl8q15FpKW3oMhfrvDeHBg+d2YcVUpVzjxroFbBXwPO5X4VneyWmkIecOTy/M5bSJAMPh85i13J7zj0tIEEHY9ON1ll4QgKOvpTzxMiEnp3Lgh2/4ZtQa5u65hs+LarIE13YM0Ckqa9q2hvbyKFJ91+Gw8RumfTONcTOOsMM9Br+0egpae+kW/tH3daApe0LebQvcj+3AZOlxNlgGcTOzgQLRcXYas7IRUhw8d5RB1T3iffdxYN4YJo2bzNh1J9l88TEh2XVUiODRyqJLV013XSRJty1x2D2PbXsPsM3nKd4vGqkapPcQKAqehS/1neW0FYcQ47sfs8XDmPXdZL5deIptTrE8KGpDpjojh9uvSvpJUc88/6g3d/ffdyXl9G46M2jK8OHGSdHmZ+/B3DqAQFEh5oh6crBW0lcEPL+W/LPyb//Sn9eL66stpbX0AREO+zmzdCGmJ9xxTWgksU5P5yBcfuXA87uS1/DXrqK+u57mFE/iru7g4Akrplvc4UJkMYVdWsOilMZkFuWNPMu/qaOnpYiKGBdCTy1ky8zRfPX1NGYddMM8vIi4ao3RViP/PVIuPMuI0qFrLaMx5Rbx/g6cOefLNqsbXHIzx8tmPsvnDGP05Fksu6DC8zsyNIE37eBnLUIv6jB9NhWJ3nhtWcP26atYanGdw+HFJFZ3D8rrOWW7VT486+ltyqPp6VnCbGexSIXn/sFzT30V1U8eEH7Fk8NnXDAxdWWR+RUOXI7ielod6a3Q+nrIqq9XOL+CltRHRN66hsVZN1YJcF5s5sF2twicoiuILtVQ3/1y8Yjfq6EBz7JhdtGnK6A84TK3dkxjz8iRfPvXVfyw+hJuzypIFxu3/PRy6LupTfcj2nEq5ks+YfTwiUxecxa7x6U8rRPQO0CZSTnwLP0k/NaURU2ULbdOLBCNdRyfj5jDyOVWbHOJ4HZaBQUtTaKQyKfkqQ+3T23A6tAedtgFcCE0j8z6bjrFpTc2zCgLnoUDdCKJdWdSEOWA157JbJz4D8YJ6Juw3pwD1+K5ndFARVMb7VWJVDxzwN95P9t2HWGn7TWuJJaR0tBD+yCN9CkKnuUr0yrjKXt0Ah+zmfww5m98PWUJM8wDOP2gkLTqdjp0Wnrk1DARAz1aOe1T9HkiGct8PBgelH5SJjz/uvTaDvRVkZRHnsbeypz5G50w9XpKbE0ntTKkX21nbCkKnn9LvQLrmp5Tm+jFlWOmbJ55hGO2IdwpaadAA4Mw8KxYeP5lSSfp0bYVURB+kuALizhgd4oVXkn4pTfR2NP7agvjSXkjz6If0dfSWv6YJ+57sFkwjtlfT2H4hN1ss7+Pf04teW3ddAnIMkyb7ZHTZ2XfKOo80TEaDnmQmpBi4blPNFBdDU1FT3nq44SPtQ1OPg+5FJVBdIgD9+xNWP+DCs+/WyLY5Erc+obH5D5yxO6AKTu3neVsYAJhpe1Uqatt/4pUeB7YZ56ba2h9/ognN30wPevOIjMJz5fY6xmBV2ItSQLsWgz9UK+o49tpL88hL/Q2N9w82GXtisnxSyy0DsDUP5kHeW0UCb742JHCoQPPLfR1p1DwyB6PRRNY86dRjPqvTcxfK2AlpZp8sUXbTxuwgKCGrEDiPadhvfI/GPPFZ4wxOcKR2zmElPRSP0Bsqxx4fqXuejRFETwPPI715mnM+m4kf/l6NmOWCrhz8OPivTBCHt7m7g0nPM5a4uR+Ca+oTGJES2419ktgX0lR8GyINzlZronmwgckXdmFw6bRLBj7F0Z+O5lJm63Y43gDv9AQHoRdJ/jGOeFDR8zdgvEIzyStrpMmEbyDxM4Kguc+9LoG6tNFG3RZysmlX/D1J//Dp1OXMf/0FawCH3H3YTjRj+7w4H4Ad0Puc/dxHNHpReSKxtnYIxLPIBS2QxWe5aJDHVnXSb2xCctTR5lx/DZWIXnktr18/dwghePQgmddBz0loRSEWHLmoClzl7lhfjmZpCYNDfLXL7cyqoYcPEswpI2u+gSeXd7Hxd1zOWzjyOGwUh6W9dA1CLSiOHiWK/K2p1GVfJErRxawbMQXDBs2h8/nmbHjnA9XH4USFhtCREQQ94JuERwcRmhMCvH5lZQ3d9Il8ssgzJQ1SKnw3KdppqcymoKoi/jYn+O0jQ/XI3NIqaql6JkHkY4mbBbwPEaF598h4ZzeNjS1KVTEnOe++36OWDpywCGC+2nVVImmPliPFajwPHAaMvBMax09WbEk3/PjuP1Flpi5CHj2YI9HOJ7PanlWJcp2Q7XTJTqECiqy4wj19sXulAubLF1ZctqPFS6xXHhUTEZtF+39KNSHDDzrG+ltiSPn/hkuzP6Oxf8+ihH/sYWF6/zwS62hRGwlv/EdCXhuFPCc6DmVU6v+t4DnPzF87g62+b4gILubmgGat604eJarjXfV0pAbTsLV/djvnMT00Z/z6bDRfDllIROWbGLZtr0cPOOIy91YwjLKKWzooF0zOHcQpZQFz1IyNuSq7SW05NwhzvcApzeMZf64vzLiqxGMnTiFBWuXsOKwKRvOXscmOInHOTWUNctXsIjYlSE7SL5UBjxL/3UIoMsm/7ETfjsnsmX0//DFf3/KCBGDy4+Zsc/2BKYWuzm4eykb10xn8fKFzN+wm222V3B5nMuz8g6ausQ1MLIfhx48Swfp0HZWUBZ9llDb6Ryx2s9Sj2jc4muoFT4cTA0deNaLfNtIfcpl4q6s4vDxg4YbEDbhRZR0vlw5fzD6xyEHz30i7/UV0FogoE+07+Pz1mBu7YdbUgspzaLYHoS7ikqD576eVnSlIeQG7eXEunGM+PIz/nP8Aj5bd4TVpkewOr2bkxbr2LPDhOXzZ4q2s5QlO05y0OM+AUlF5DX10CoXEXv1fcaU8uBZXD+9aJ/NhZRHOfPo8kHOX/LG5n4G0cVttLfW0JTkTpSA500qPH+ApD/lQpU6ersb6WlIoyTOi4CTCzi2bhrrTS9w4GoCD3LqqeruRSPazyB0i4Z2q8LzwGjowHOnAMGSRDIe3+Kc8yXWmTmxzNyNnW4PcI6uJqYMGuRDz10icCtfkBF9Dxeny+y1dGGNpQebnO5jdiePoIxWKtterv75scE7ZOC5t47ehkgyg45zZvo45v7v0Xz1f7exaJ0//uk1lIqtfhaHEp6zA0m+NJUza/5NwPN/8PnsLay9nMS19A6qOj7y+v1EioNnIb1IJj2tJdRlBvHk6lFstkxk0ZQvGDZqOH/5ehTDx01l5vqjohN8SkBGIxXtoqN8te9gSHnw/Eq6dnpbCqlJv0W0z15st05i7shPGP33PzNi5JeMmL2EcdsusO9KHA8LWqgRFfYgDd7/KEXAs5z6rq9H2xRLyk1Lzi0cw8K/f8anf5nMpOUHOexxDfe7wVy/eYXrPudxdzyCxaEVbFw5i+Wr17P6oCM2/gnEFLYZVjfvMWJwDj14FnCsb6K7IZmUq2Zc3Cjg+dgJDgVnEZwvZ5MMRmnzRkMDnmWj7ULbnk9e6GlunZjDoeOmrLkcx5UXTTRodIMCKlJDDZ71AgxpjKE67gLOhw6ycbE5J0SxeL+0m1LRfIz4eucfpTR47u1qoC3Nk4SLs9m38G989uUX/HXuJiZaXsTcy5ebQVe4HeDOFY/TOFhu5dimRSxbtIQ5aw+y3f42bjFFpFS10ymncL/6TmNJcfCs6xI5Op/6nAeE+J7H4cI5nIIjCc5tpKitj77OGlqT3YhyUuH5tyWjSYtOtOG2mnzKMx6R8tgdf+dtHFg8gtmjP2XS3BXM3Xeeo96P8U8qJb+h0xCH0o3GjEUVngdOQweee1oEC6aRF38fT3cv9pg7scrcha0Ciu3CKggv6KO2rZe+xnJaUx4SE+CLma07qyzcWWl9lcM+T7iW0khqnZ7Wfq4CM2TgWVdLb+1DMgLNsZ42ltkCnod9BDx/NnMzqz0T8EnroFIO2Q+AFAnPoiuTr8DoqE2jIO4qd523cnL3DBYKiBkz7kuGf/4ZIycvYq7ZFazupPG0qIm6LtFpDlJRq0h4lq7oE52HppHOqmSKn3gSbL+Lg0tmYDLuKyaP+IwRY743xNRCUy9cwnOIL++ktvPVK5cGx5UKgWcBdNpSesqCiPHYw8FJ3zDhf0bxt2FrmX/oChef5pNY00KF6H+aG+T7YBNJuGeD97EZbJs7hnGjfmDebjfsHpfzpKbPqAA45OBZPuunKaSt+C6htgc4NnMFR4644xpXTXxdn2GK52BqaMCzuK76GrrqYom7fBjH9bM5Ym6HZWghEeU6w2ySwdJQg+feznq0udfJvrUL8yOmLNh5CZvbqbxo1SJYZVBu0ioNnnvaq6l6cpqwU8PZMu3f+GL4cL5ZI2/WPOV6cjGFol+sb66nriKXyhe3ifU9yom105jx3fd8u8KMpWfDuZ5Ubhj5kz2SMc9AOfAszlqvpbejmtbsUDLuueDg4MFR1zBuPCumoE1rWHhXL+E5SYXnD5N0Rjc9HTXU5T0l7ZE3d3zMOGe5gk0LxzN95OeMHv4Fw7+dwdjVJ9jgEE5wRjUVmj6jT99W4XngNHTgua+Nvo5cStIectPjChYCntebObPBPhjzoEJup3dS0dxOR0UeBQ9uE+Dixm4rVxaf9GG1Yxi297NJrOg0rC7d3xGZIQHPMrkZRp6jyHhr5Hn4R408b2adlxx57vwnH3nW0tOYT81zP2KDz3Pe1RFr5ws4uFtyxnwFW+YMY/oo0RHOXMrsfRcw9U/kflYDDd06oybi11IkPEv1irbanENpwh1C3M/ibnOa846unLM15/zBhWw1Gc+ob8bz1cTVLNrlxOkb8UQWt1EuLn33INXbioDnPgHPoo/rzr5MiP06lo8fwaefTeG/p5uz5sJDQgubEExsuMlgUG8Lrfn3SfPbg93GSYz/9CuGzz3AUq9kfDJaqTPi8u9DDZ71OgGjDQnUJzrhYb6fpfNMOWB7j7sFLRR2i7Y1GA36LQ0JeJZTjTuzacvx55b1YfbO3shhS18up9SRKlLVIL0i26ChA8/ymvYaZjzVxlgT6TiTfSfMWXwuDI8nZVSJYkW6cTCuvHLgWf4tLd2tRaK2M+fG/k9YNe5/MfzrkUzfe4FjYRVElmtpe/2khV4AaWcJ1an+BJ1azJ5ZnzJhwiK+X+XIqVupJDaIvCmcaszHCRQDz/IGragLO6qSeHHDk4ATp7ngeoeLMaUkVnUZXstpcEtnLa3J7kQ7vwXP9qF4ZkNOqzifQQhIZY886+jtaaO9TtTn+clkPn9IbMQ17l87i5vlBnbMH8nUkX/ni1FzmLTuDDb3Mnla20ujvP9oRF+q8DxwGjrwbFg5upTK3Cc88L6GnaUTmwU8rz53i91+mfjGV1NSWUF1ViIPr17j/Cnxe0s3Vp29xd7rKfgm1lDeqjXcI+pvfT6knnlufUZOiA0Oc75jyf8ZzYj/2IbJen/8BDzLZ57fC89ZgSQJeD69WsLzf4qCfDvbrqUSkKOhVi4rPQBSHDz3dqNrK6XqxV0eXzbF5aw5+z1CsI9I4VnWU17EeBBgs4LDJsOYNuozRkxewORdrpj6JRFf3ma4KaM18sN9yoJnee4y+nrQNOVQ+9yPcK8zWB2y4rjtNfzjsnmW/oz0hw74n1nN5tmjGTtsFF+OXsSsnU5Yh+TwsKzTsAL+YBSLioHn1iy6U125bbuCOd+N4E8j5vBfSy+w1TuBuMpWQw/wYxvXa9E3v6AhyR1/y+Us+vJzPh+/mm+tQ7CJLqO0RWM0Pw41eO7TtNBdeI+Cu/s5ZbaH6Vs9OOaTRGJdB43CaR+bpQZKQwKete30VsdQE2OHiygglsyz5sj5CMJK26gUaWIwb0AMHXiWkdZBZ30qGdd2c3X3WA5Yn2bnzRcEZbfQofuja4pflnLgWfqgi66WXLLvHOPK9k9Y9s3/x4hvRrHA1AO7+HbRbsUWbzpG8T8N7VXPSbu5i4tbP8fk2+8YO3k3u92iCCrpoUwjPG9E1w4+PMvrpRcpo5WuumcUx3vhb2vD6V3ncfON5mFhPQVNnbR0dIq+RkB0XSGVsfY8ODePdbO+YNTE6SyyuYVTcgfPq7pp7exBqzPujR3lP/Osp69XJ+C0RxxrN93t9XQ1ZFEa78ut08s5MO8LvvvyK76ZtoGtF2O4nq2hVCR0YzYlFZ4HTkMInntEYNZSV5RMzPUbuFo5sd3CmeV2AWzweYH7o1zy0pPJjgnhoosXu80FWFteZufFCBxFIRlV2kXLAL20c8jAM62CCVMpinTk8tIJrP/zaMb8aSsL1/njm1ZDgdhCfuM70vdSL+D52cWpWK34dwHPf2aUyV4O3c7mfkmfgJtX2/VTSoNnfUcFbdlBxF0/zYm9B9h52B7b0AzCylupam8UySSN0qSr3HfazOGFXzNzjOgEJ67A5JAnjjHlJNSLQsPIz0kqC55l7HcKR1ZTk3mbKLednDfdwXYrb6wD00msaKexQxSDNenkR3sQZLeSPSajGTV8FP+YsolZx29z9lEh2Y2iSJJ56OWXGk2KgGc5KtCeQ3e6B/fOrmHR+JH8beQP/Gm5A1t9kkmoajXc7HrTxsW/eopoLwri0fnt7Bv+Bd+OWMiofVexuJ9NjiiGjIWtQwee5fXsRdtZQ13yJZ55LsDUcjvzbEKwiyihuLVbZBrjx99PNRTgube7iY7cQLJu7eCk5RFm7/LmxI0XpDV2y55g0FY2lhoy8CxHSfVVtJQ+5LHVVuxmTMHi5EXORZXztFI7qKP3yoJnASMteeTeN+Xqnn+wYoyE59EsNL/EuaQukhrehueX0jQVUBl1kruWY1gzZRijvjNh3bk7eGVpyBOFjzHvSww+PMuT1aFtL6E8wY1Ir02cOXmUXZaXcPSL5HFyOimZWWQIy8zKJj0piqc3zblsOpXFk/7OV+MmMvuoK8fvZnE3voTcglrqW0WuFt9qrBBVNjy/T7KNdKOtTaHogTXXj85k4XfDGT5+AQvP3MM+oYXcplevUDOSVHgeOA0heO4V8NxGU0kWz2/fxOesE7tPOLPU1p8VlxM4G5xMUkQoMYG+WJ51Z7m5JyvO3MLiZjIhOc0UturpHqBWPnTguUvU48VUJl0heN80Doweyfi/r2Heam88EivJFIfb+s4hi330nVSnXSfKfipmi/+HUcNGM2m1NbaPi3ki6o6XrwPrv5QDz9JPOjQ1yZSEWuBrtZ4lq01ZduwmN9KqKNT20aGXrw9qo7e9kIpkP+4LsDlmMpZpI8YyYdEBVlxJFgm5g4oBeh78Q6U4eNbViRBNIC30FOe3TmXzxvVs9ozE7Xk7pa2i/YqOW9+roas2ncoED26fW8nW+V/zzdgpDDOxYqtLFA+Lm6gVfc/rGXjGkmLgWVOMptCfSKdtbB8/mjGfzeIvs2zY6BJHTEUzzWKzN12z8HlfJR1VD3nqfADrr4cx/av5jN5zBbN7mWQJeDbWM1VDC5470LRkk3f/FLcOf8/hI7vYfPU5vqmt1HcaO/LeL2XDszyOXrQdZVTFORHlNJ9j1kcxuRCGU0wZ5e1awxaDebhDBp57O6EznbrUa1zZtZOto9Zw4sxtbmY2ky268cGYHvtayoFnKZGj20opizxFsMXXrJ/0b3wt4Hn2EXesYluIq9bz0wXytS2lNCc6EHl+Bptmf82o7+ex9mwQlzI05P5LwrOGzsY00oMOcvXoKLZtWcCsbYfZfPQ0p07bcNbWBjthtra22FqZc2KPCVtNvmb88D/z98+HM3qhqI0OOHD4ZCCXryaQkFeHbE3GyjFDD55fqbOSrhw/nl3aws45o/h+/GxMrG5z9kkj2Y2itjRiU1LheeA0hOBZuLRPS1t5Ebkhtwh0dmaftRNLzlxjsXs05r5R3PG9jr+bK3tPubHE+jrr3WNxFNCXVt1Fu+hYBwpthg48y3deN9OUe4945wXYLR3B1K/nMWv5ec49KiFBBKGcbvxScnt5F7yGsnhP7llOYd8P3wiwWcP8/Ve5mlpNtnzEbYCcqBx4lhm3g5aiMBI8V2GzZzYzNhxnmV04oYUNhuTw0kXi2vZ20dOYQWWcK4EnV7JRwM3309cy5swDLJ/UkN9k3OUfFAXPhud1iwWFBhJ1aRub5o5l9rLN7LyWzI0CqJZDUa+k17YZpnbnRV7Az2IC62eMYuS4LSw/4s+11FpyRQgM0CSRD5Yy4Fk0Ln0t2vpHJPkc5dSUccz762T+MfIYq63CuV/USKXY7E2Uyf6mho7aaJ65HOHMiOHMHrOYb00DOPGwgPyWLqPdhBg68Cx8pquioyqSOLfD2M+dxMEdFpwMKyWsrHfAZif1V8qGZ5kE2uhuSiEzyAK//ZM4dsKSnX4vBPS10fRq4YLBPNqhAs96TQt9FY8ojjiL5eb9TJ5yAkvPGCKrO6gSbh6gdPtRUhY869F21NHw3I1opxns+uHPhmnbE3bZsy+kkkclPXT+ZBUrXWs5bSluPHUWEDh3KmMnrWO7Yxg383so7ha+NeIpKAOeu+lsSCMt8DDee0awfu4IxkyYxLcTpjF96lRmCpthsGnMmDyRqeOGM274//CPP/9f/vu//swnw0by9bcmTJpiwda9t7n5tERUoy8f/TOGK4csPGsb6K0KJzPQDCuTSSybNJ+tdvdwS2wjv1kdef65VHj+A+C5j67qMsof3SHU041Dp51ZYuXFogvB7HS6xbkLnpw+48TmEx6ss7+H+b1cbme2UDnArxQaOvAsfaYRPounJGQ3vocmYfLdRGYtOorFrWwiRHup/ZFV5bG3CrDJIT/8PNe2TGbL9JmMW2zDJqdnRJU0i+8X13WAGroy4FmejAz0Nhrz7xLpMJfjm75nynpzlp6LIEzAyht4FpK9XF8dutpHJHgf5cT075g3bSVjTt7DNLqKvMYBmtP+gVIcPLfmQZ43EY5rWD5lNJMXbGXX1RRuFgrEewuepfS9XbTkBfPCZzknV03iuzGbWbrvGldSqsn6V4VnQxvsoLczi7xQ0QbXT2TLyLEM+/s6Fu3x42pqDbkiGN8sOyD+oZcg+JgnTgexFvBsMnkt884/xjGhhor2HqMUNVJDBp7lDYr2bBozrnPLaj87Jq5k9153vF80kCKajRHXWPtVKRqe9eJ66ipoKw3jscshTpnM5qiFA7aPS4kSxNcx2KutCQ0VeNZ11NCWdoWka9vZuvswIzdd58y9LDJbuw3ZfjA9qSx4FsejaUFTHERmwFaOr/yG8SNHM3KdFUuvZnA7p5nWn6wEq20toyXRgWjHRWxesozx88w56hPH4xottWLTf60Fw+TJ9tDTXkZpoj/R3sdws9rD4X172bN7D/uE7X1t4vj27tjMjhUzWD7tS0Z/9if+9slnfD1lAbNWm7Jh+yVsHaJ5nF5NlfhWWbEZw5VDFp51jejrosi+a4fN8hVsmrMVc88YAvO7KZNPuhkxDlV4HjgNOXjW1lVS//QBkVcvc9TWlSXHXTGx8mSVtQdbTrqw0dKd1VbXOXAlluuptaQ26GgRyXwg43Nw4bmEqhfX8X8HniO4nV1Dwzvw/EqiWOxrK6At3ZOHLhvYPe97Fi3azDaPOLwztJS09r3yjTj2vmp0LdE897PkrMlM1v6wnvnHgzn1sJK8hi4DOA+UH5U18ixArjiC+MvLsds+iZmL97LoWCB+GdUUCYe+4T559o2G9/A+v3qSc7Oms3HuVpY4xeDwvFn40riQoCh4NkBJEZQGEuu5nR0/jGXOgnWiw4vBI7WL0vbXcfZS+t5OOgpCyL25FdtdS5k815x1VvcIymmgRNQTxiopXksZ8Cz/lnxdWj21qTd44mjCyaWj+PbzqcxaexabiEJi6/to/hFORJvVFNFScJvwC7s5OPZbVi89xAF/UUzmddEwUM+pfICGDDz3adFWPqHskR1O5geZveAk2+3CeFjRSoVw5yC/3vlHKRqee0Uf3ZJG3XNvrloeYf207Rw+eZNraQ1kihQ1mM/pvpby4VleSy3dzXkUh5/kju1s1pmZMtkhDs+EGqq7Xi5uOphSGjzrtSITNz+n6qkjXvvnsuzbMYxYuJfvTz/APa6U8g7tWzNt9HQ35FL+8Dh3Ts9m08ZdzN51hQvhOaR36pAZ8l9vtW2RW3o1dLfV0VIj6siyIooKCyl8x4ooLCqmICOB1GBrbljOZsXUzxn57WTmmV3mTFgxEaKuLi5vpaVTwLjhW40jxcGzXvhTp0HX04VGo6FLo0Pb+x7W0NTSUxpKStB5Tm63YPsWF1xCs4hr1NEo+kpjNqWhA8/5NAt4Dv8ZPOtUeP4oic5c31hNR8pj4gJ9MTvrzlILZ0yELRG2TP484c0q+3BO3cvmWXk79bIQH+DWPXjwLKOmhOqUa+/Cs10EQb8Iz6Jl9jSjq3tOToQj3scWsm/rGhacuMmRe6Uk13S+WtxFR19LFq1Zntxz2cf2petZvc0Oi6B0Qkq7qf/pA0X9lHJGnuU109Et/FMUZsZVi8Ws+GENCzdc4OzDAp409CH6uFcS22sr6Cq9S7SnBaZzV7JtrRXmQVncKdVQ02XcckdZ8CzOXSMK0+ZkMu+fwXHbZNYuX8I8yxuYhZaQ1tD91h1qHXpdAw3p14l3X8bJ/av5Ya8nh3yfE1/RRrMIYmPX38qA55fS9wlfVcdR8vgEvmYLWDJ2FJMX7GTNxWi8UhupaH/dOYtkXZdExTNnfO32sWzBFjaaeeOdXMWLpj7ajfjA5FCBZ/mKqpasQJ77bcHSYg8T9/lw8EYGmU2v+sGXmw26lAzP8rGLnrJw8h4cx87sELOW2nLMPZookW9rRF85mM/pvpby4VlGWiPtVbEkeOzm4qYpbDOzY8vdMu4VdtGqMW4ueZ+UBs/0iWJOW0Nb0SOeeOzlzOqJzJi1lBEr7TDzSySuqpsGEX+GKkjfTGtZLEneu/DYO4vdx+zY6ZlIUEa9iNE+w2wyY56BMuD5w6U3vKpKTpF/+z3PoXior6r6UX26brobS6gvzSQvr4D0wloqm7sNM8Pe5BE92pYiahO8iLl+Cjv7q5y8nEBYVr3hPc/dRvbj0IBn4T8Jz3E/h2efbBWeP06yQG+tRZfzhJQQf05c8GC5hGczZxabO7HYwpVldgFsu/YCz/gaSpv+mFe1GBue9fIOV28PvT11aLvTKIhxw3PFbFZ/OpZvpu5llkUgvglFFHfIhisahziMd3Ob+I8+UTQWx5Jx2wzPszuZf+g8q53DCU4rJL+xiZr6CqqzI8i8a4ab3X5W7bdjj2sYIXmNVIqENNBcqJyR55fSd1XQkRdInLcZ5itXsX7lIQ5disI3qZK08gbqBKQ2NdXSWJpIcexFAhws2b3hBAdPBHAjrY4sUXm3GbnyVhQ8yxjTa4SJWMoMIsp1PVYHVjB//1k2u0dwN72QPFG41rQIaG6uoLYqldQIBwLOLMLi+B62e0dyUbTZ8lbjTTV+W0qCZ9nPyXjsKg/nmZ8lVqumYLJkJTMsLnH0ViJP88upFUVtY0Ml5S/uEn/rOOfPn2ShqQ+mASkkNrTRJA7bmMiqfHiWHZh8F2c9pbFO3D83g/2WO5jl/BDbp3XUdLxc5EopUjI893bV0/jCmzivNRy23M+Eozewup9NbovG8Dy+Eo5S8fAsp773FNCQc5M7ZpuxmDaPg2beODzvIqFejxLWrVMcPBsiS4BvWxlVCZd46LiG/cvnM2XqZnac8cf7aRFJ5U1UN1TTXJtKfuJ1Am23YbNjLac9g7iU3Ex6vdj/jynTflVDF54XsnHOl4yeNJOlF0JUeDbo5cn3djbSnBdJVpQvt2/54xn4iNCETNJLqyirb6RetJ2W9lZqi1+QEeJE+I2zXHmcgH92BwWtfYPiQ0XCs+xLJNvp5RpNOno0nbRXPqcs/DiBFpOYO+6vjJg8l2Vng3FJbCa7QYtWtKdewTqyKQ+CGw0aYvAs3NTZQG9pEpmRwZx3usRGAc9LBTwvMnMV8HyZ7W7hOESXEVmm+XHhkoGWseG5r6ebnuYqmkueUSqKllDPHeyZNYZx//kpf/3HHMYtNsfU+wF3M0rJqe+mqUsvguvVzj9KNNYOkVRKonkR5Y2nxyms7G2w8fLG3e8aNwIvcdXXkQtOtth4+OAQHMfd1EpK27SGgmigF9dQGjzLqYi9rcVUp0cQfd0eLzszTp48zvFzjth5XcMzwI/A297cvOaMm7s95919cLwexW2RsHMbNbSIS2/szlBZ8CwlHaCju7mQqrRgYm7Z43L+OObWJ7C84MD5K9743PXHL9gXHx8X3N3O43jRGY/gUBG75WSI2P3poi/GkqLgWfpRxGNfZwV1uZEkB9vj7XiUo8cPs9fahuPuss2KwvDWJXx9HHFyc+CC7y3cHuXwuKiFuh6RXF5+i9GkfHiWeacZXWcGL26dwHPHVA4cPsz2m2lcz+35w3LFx0qZ8Cx9pKWnvYCiCBuCrGaz3+IQC1xjcZNTjRWyUrmU4uG5txt9wzPKY51w3ruLVTP3cuR8KHcqtOSLFKiAgWeFwrP41HWiacimIuU2EVfO4GS2B8tjZpiesufcZR+8bvlx/boLVy7a4ujihItPECFJBYaiW74tZDCOfKjBc19HLS2JrkQ6SniW73mewZLz97mYqSerRfQCgxCfSoPnnrYKKhN8iPLazemjq1izcTVrdu1nn/U5zl29ybWIR4TEPCUq9glPnkSRkJLMi/J6Ctv66BikrlKZ8CysT9QIva1oOiqpKU8lPeYq986t4MTSv/P9Z/8/fx35PaO327LNN5bg56WU1rXS0i3rnJcAPRgaeiPPmkb6al6Q+/Q+bi5e7BLwvELCs+Ullp++hbl/Eg/ymijpFCf3B40EGh+eu8Rpl9NY8ITCZ16EXjmG5Z51rJi/FJMFm9mw6zQ2Vx8QlFJIenUH9R16en7WOOWqflp6tc20VKVS8MyXsFsOuHhdxMHTDW8fJzx8PLH1vYvPo1QSS5pEMdRnmPL+RyQbxcGzkLzrpe2ooaU0jizReAPdT+J4zppTrm6c9/Lgiq8jl71cOO8dwOXQRKILGihu6zXE2WAkZOXBs5BwhFykTtdVS2NhPBnhl7jleQYbOxtOOzni6ncJj2sXcXV1ws0nAN/IVGKFH2s6NKJgFB3hYDhSSFnwLCT/rkgofV11aBvSKEoK4MFVWwEBAp4d3LC76Cri0QGPq144+z/g9tNssus6adKKtj8ITlQ8PBtWMm+iV8Bz5gMPAk4exM3ZG+9nlcTXghIWuXpbyoVnDT0dhRTHXibcdR+ulz04/bCQiKIO2gb6+ah+SPHw3NdNX30yVQnX8HV05bDZNS7eTye1XUedCFUlTH1XHjy/Vp/IMT0iDmtpKIgl89ElkattOX/KmnMClp19L+Hm4YznJU98HzzhQVYthQ3daHRiv0E67CE38twl3+F+h5Rb5tgeWcfWPYc47v+MuyV6StoHJz6VBs/ajmqqU2/xzN8cF+v17Ny+nDWbt7D5kAWW7pe5GHyfgLDHPIpL4XlhDSVNPYbHMeSI6WDFoaLhWddCd1sJlcWJPI+6zm2nfZzdPZ/Ny+ayaN0Wllo6cfT6Q+4mFVBY3UJTV48Kzx8u4eWeJvpEMZmXEIqHqxd7DfDsxJJT11nrFsuFRyVk1nYaFn75o5xq9GnbAup6NZ1o2upory+muiSdrLTnJMUnkvAshZTUbHJLqylvaqe5SyuShDj39zZOQ5SKOO2gu6WM+sp8CosKyCvIp6g4j4KSIrLLaihraKdVFEJ/ZAepRHiW0ut16Hta6Gwup6ooi4LcTLJEg8gRfiouzjX4K6e4kuIa0Xg1vUZfFfptKRWeX3700tvdSmd9KdXFOeRkZ5GVl0t+SSEFxQXkC58WllaKWOswjPrpBhkMFAfPryXf/awX/VlbNQ3leRQVZJOZV0B2Qd7LeCwtIb+8jqrmTsNNHNkDDcYhKx6eZUzqe+jTtdJSU0xFdiYlReVUNGtoFvWrbrDu2vyClAnP8u/3Ch+201FfQk1hOsWi3eQ3dFLf2asoHyodnvVyIc/uJroayygtLCEjW+SU2jbaevsMtYsSPKlceH71t6UPNS10NZVRJfrC/KxMcvPzyCsuIl/UNHLhq7K6ZupEx9htzPdSvUdDDZ4lzOjaq2mpzCE/M4XU9ExyKuSACoZHCgYDWJQFzwKAdV2ijq4QeTmDwuxEUp7HkZCURGJqOun5os6pqKS0uoaahmaahdMM+XmQG7Yi4VlKDoz29dAr2KSro5HG2lLK8wXnpT7jRVI8CaKOSMzKJ0NwTmVjG+0CnHt0osaUu778BqNLwfD8KkBFB64XCUUvOh99Txe6RhGs2U95GhrIWXsPtpo7s8zMlbUXgjl2J4eAzFaq2/7YYm3wFgz755FS4XkoSZHwPGhdWf+kWHgeIlI+PP+alHeNlfzM81CQ4uH51U8lS7nwPPQ05OBZgVLWgmFDM/4VC89DUAqGZ7GdXoNW00FHo5xqXEd9WSnFqck8vROEl5sn+065sNLcnWXHfTngFYVvcjUp9Tpa/uD3jajw3H+p8Nx/KROeh6ZUeO6fhjY8K08qPPdPSofnoSAVngdOKjz3X8qC56EpFZ4HTgqGZ9Gp9DXSWl9EbuJzYkKecOfeI67cCOaCkxeHrZ1ZY+HE0pNXWGcfht29LOJK2/6QV1P9VCo8918qPPdfKjwPnFR47p9UeB5YqfDcP6nw3H+p8DxwUuG5/1Lhuf9S4XngpFx41neg7ymmMu8JIVdvYGftwR5h66zcWG3pwgoLYSc82eJ4B7PADG4+r6e0qQe5TtYf3a2r8Nx/qfDcf6nwPHBS4bl/UuF5YKXCc/+kwnP/pcLzwEmF5/5Lhef+S4XngZNy4VnbSl9zFoXPw/B292afmTOrDe9zdmaJpTtrz1xlr+sDzgW/IDi1lsxaDW2aDx3V7p9UeO6/VHjuv1R4Hjip8Nw/qfA8sFLhuX9S4bn/UuF54KTCc/+lwnP/pcLzwEm58NzTir4hj5LUJ/gH3MHa1R8z15sccQvgmEcQp649xjMsm/C0WoqauunQ6Q0rrxlDKjz3Xyo8918qPA+cVHjun1R4Hlip8Nw/qfDcf6nwPHBS4bn/UuG5/1LheeCkXHjuFZ1KVzNtDdXkF5aQnFlIgrB4+TOrmJT8SnIqWqhq0tCp7TPq0vkqPPdfKjz3Xyo8D5xUeO6fVHgeWKnw3D+p8Nx/qfA8cFLhuf9S4bn/UuF54KRceJYSF1q+qkruo3ttul60wnS9L1823ie3ebW5saTCc/+lwnP/pcLzwEmF5/5JheeBlQrP/ZMKz/2XCs8DJxWe+y8VnvsvFZ4HTsqGZ4VKhef+S4Xn/kuF54GTCs/9kwrPAysVnvsnFZ77LxWeB04qPPdfKjz3Xyo8D5xUeP4IqfDcf6nw3H+p8DxwUuG5f1LheWClwnP/pMJz/6XC88BJhef+S4Xn/kuF54GTUeG5orzc0ImIK2i4iEPNxIfBamtrcXRwYOG8eZw8cYLsrCw6OjoMCft9+6n2xsSHwWSH9+jhQ9EJnuHUyZfwnJSYaCgSpd63r2pvTHwYkkmjBBYJz3v2YDJvPgECnltbWg0+lNu8b1/V3pj4MPwsLSnhgoDn7VskPDsIeH5GfV29oYD86T6qvWviw/D4jAQTGYse7u5YmL6C5+fPDXH6Mhzfv79qb0x8GH7GSXhe/gaeZX5RY/HDTErWGTnZObg4O2NpbiHg2ZGHAljq6+oMv3/ffqq9MSlZz8ib3Bnp6Vz29GTLxk2cEvAsBwteDxS8b1/V3jXxgbZHS7iAZ+nDfbsFPIt/V1VW0q3R/Gx71X5uUhrhK3kjR8Kzzek38NzY2Gj4/fv2U+1dk+1WK/Jxmah3XsOzzakzhlgUGxjsffup9q5JSVaR8Hz0yBGsBAcG3b49kPDsw4a163CydyDqcaThAvX9E4w8ywQsk7GEZ+m03JwcOkVxIyLz1RaqfkutLS1EypFnWxtOW1lzScDz8+RkNN3dr7ZQ9Vvq7dXR3NTEs7g4DsiRZwHPgQEBtLe3v9pC1YeqvKwMh7dGnhPjEww3JkRP+WoLVb8lWcTEPX2Cp/tFLM3MsT93nhcvUgTIqCPPv1cJ8fGsXb2aRfPnE/bgAd2GGTlqLH6oZJ2Rl5uLq4szxy1ewvOjiAga1ZHnD5fo+2SezhLA4uV5yTBqKkeeZb2jxuLvU58ceQ4PFz4U8Lxnj+FGTk11tQFkVH2YpK+yM7PwveKD3Rkbw6zFkPv3DTWQqg+V3lA3Voh6x17C86zZhpFnGYuqfp9kTpY3b44JeD55/Di3AgPJFznn7Tb90fDs4+3NiiVLOW5uIQL+CjHR0YZR2vzcPENiG2omjzs/L49nz55hYWrKjClT2bt7Nw9CQkl98YLc7Oz37qfaGzP4UFhyYqIhPg4fPGgYNbU+cZLbAYGkp6ZRkJf/3n1Ve2PSh1mZmSQmJODv58f6NWtFPE7B0d7eMNqXn58/ZNuZMU22Z/kzKjISs6NHDVNlzY+ZEeB/k4Rn8eSJQvGn+6j2rsk4kwW1vOFw4/p10ZZPsHPbdkwPHyH4dpAhTuUd2fftq9q79rrNBvj7s3jBAmZPn2GYMpsm84saix9kMtZknREW+gBLAc67duww5Gtv4cf4uDgKCwreu59q75qMt+SkRO7fvWu4wb188RIO7N4j/Bpi+J3apj/MZI7JFn2gvAGxTPhw/eo1IhYvG2bpyFH99+2j2rsmfZgpfBVy774BnA8fOMAhYXKWU1JiAkUFhe/dT7V3TbZbmY9jIqNEfj7MlAkTOLR/P09jYw0+fl0PqfbrJv2U9iKVi25ubN+6FVMB0AE3bhjqxX7Ds5xXL6dtL/hhLksWmohOYzGbN25k767d7BMd8FA1+bzK9i1bmTVtOl9/OYwpEycawGXnju3s2/X+fVT7ue0QAbds0WKmTZrM1ImTmDNjBquXr2D3jp0GH79vH9XetT07dxliceWyZYwfN9YQjwvmzWOHABfVhx9mr/20ecNGZk6dxrhRo5kp2vYqEYvbN2/92faq/bLteBWLsi1PGv+94ebimpWrDH2+Go+/z1avWMHokSMZOWw4S0U/uXO7ml8+1GSsyZiTs95mTRex+P0EZk2dbqhBZH95YO++9+6n2k9M+FC26XWrVhumd479ZrQhV29Yu9YQi2qb/jAzxKPI1UtNFgsfjmL82HGGf8uR/N07d753H9XeNelDWe/IWnvu7DmGulHa4oULDbWk2qY/0ESbln6U9Y7Mz8M//4Kpwo9yRoQcxFLb9IeZ9NOu7TsM6wzNEHWj9OlN/xsGqO43PMvnZcIfPDBMUdm4fj2LFiwUgW7CkkWLDMXAUDZ5HtJpC+fOM0yVXSzObYmJPLf3b6/az036S/pN+s9g81/7cejHh7FM+kremJLxuFD4UMajbGfSt+/bXrVfth/b9Fux+LK/ev/2qv3cXsei9OPrdq368OPs7Tat5pffb7LOeCcWxU9DLKr55YPt7fyyaMHLvlGa2qZ/v0lfynb82oc/1sNqPH6wvW7T0nc/5pdXfeP7tlft52Zo06/ataxzZH6R8Sj/+33bq/bLJuNO5pXVK1Zic/qMYQ2nH9f1eqWPgmf5ULWcR//ixQvD81tyynZMlLQoooe4yfOIjYnhiTD58+W5vX9b1d5v0l/Sb9J/BotW/fh7zeBDaa/8KONR9eHHmcGHIgbfjcXo926r2vvtx1h87Uc1Hj/aDH5U2/RH2y/GorD3ba/a++2X/Pi+bVX7ZfvRj2/H4j9JPWws+8U2/ZPtVPt1ezsWn8TEvvSjWuv8bnvtR7nmUHZWNrU1NYYVuF8vKCb1UfAsJb9Eru6mmmqqqaaaaqqppppqqqmmmmr/LKbXv3wTxk/10fCsSpUqVapUqVKlSpUqVapU/atIhWdVqlSpUqVKlSpVqlSpUqXqN6TCsypVqlSpUqVKlSpVqlSpUvUbUuFZlSpVqlSpUqVKlSpVqlSp+g2p8KxKlSpVqlSpUqVKlSpVqlT9hlR4VqVKlSpVqlSpUqVKlSpVqn5DKjyrUqVKlSpVqlSpUqVKlSpVvyr4f8GknfcYe/bhAAAAAElFTkSuQmCC)
If the two variables increase and decrease together, then they are directly proportional and have a positive slope.