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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28808</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28715</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28607</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28483</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28342</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28187</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28023</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27858</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27700</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27554</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27420</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27295</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27173</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27046</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26911</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26766</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26614</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26458</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26302</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26151</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26008</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25876</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25755</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25644</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25542</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25446</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25351</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25253</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25147</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25030</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24900</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24755</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24596</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24428</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24256</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24088</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23930</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23786</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23653</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23527</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23400</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23266</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23124</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22974</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22821</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22668</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22521</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22383</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22256</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22141</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22038</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21944</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21857</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21774</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21689</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0752</X>
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<UT type="prediction"><UT1-UTC>0.21598</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0731</X>
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<UT type="prediction"><UT1-UTC>0.21499</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0711</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21387</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0692</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21262</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0672</X>
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<UT type="prediction"><UT1-UTC>0.21124</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0652</X>
<Y>0.2623</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20975</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0633</X>
<Y>0.2631</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20820</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0613</X>
<Y>0.2640</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20664</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0594</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20514</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0575</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20374</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0556</X>
<Y>0.2667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20245</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0537</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0519</X>
<Y>0.2686</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20004</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0500</X>
<Y>0.2696</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0482</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0446</X>
<Y>0.2728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19453</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0428</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19306</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0411</X>
<Y>0.2750</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19164</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0393</X>
<Y>0.2762</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19031</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0376</X>
<Y>0.2774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18911</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0359</X>
<Y>0.2786</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0342</X>
<Y>0.2798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18708</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0326</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18623</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.2824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0294</X>
<Y>0.2837</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18484</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0278</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18415</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.2864</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18340</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0247</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0232</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0217</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18050</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0202</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17927</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0188</X>
<Y>0.2936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0174</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17653</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0160</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17371</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.2997</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17239</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0120</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17115</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0107</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17000</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0095</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16765</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0071</X>
<Y>0.3078</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3095</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0037</X>
<Y>0.3129</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16175</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0027</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16017</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15868</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0006</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15729</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0004</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0013</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15491</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0022</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15389</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0031</X>
<Y>0.3254</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15295</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15205</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15115</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0055</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15019</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0063</X>
<Y>0.3328</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14915</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.3346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14797</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0077</X>
<Y>0.3365</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14665</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14519</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0089</X>
<Y>0.3404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14361</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0095</X>
<Y>0.3423</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14196</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0101</X>
<Y>0.3442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14029</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13865</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0110</X>
<Y>0.3481</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13709</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0115</X>
<Y>0.3501</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13561</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
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<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13420</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13283</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
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<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13142</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
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<dataEOP><pole type="prediction"><X>-0.0129</X>
<Y>0.3580</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12991</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0132</X>
<Y>0.3600</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12826</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
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<dataEOP><pole type="prediction"><X>-0.0134</X>
<Y>0.3619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12645</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
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<dataEOP><pole type="prediction"><X>-0.0136</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12455</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
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<dataEOP><pole type="prediction"><X>-0.0137</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12262</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>-0.0139</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12073</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
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<dataEOP><pole type="prediction"><X>-0.0140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11895</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
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<dataEOP><pole type="prediction"><X>-0.0140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11730</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
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<dataEOP><pole type="prediction"><X>-0.0140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11579</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
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<dataEOP><pole type="prediction"><X>-0.0140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11441</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
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<dataEOP><pole type="prediction"><X>-0.0139</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11313</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58188</MJD>
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<dataEOP><pole type="prediction"><X>-0.0139</X>
<Y>0.3800</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11191</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58189</MJD>
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<dataEOP><pole type="prediction"><X>-0.0137</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11071</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
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<dataEOP><pole type="prediction"><X>-0.0136</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10948</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58191</MJD>
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<dataEOP><pole type="prediction"><X>-0.0134</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10816</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
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<dataEOP><pole type="prediction"><X>-0.0131</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10673</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
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<dataEOP><pole type="prediction"><X>-0.0129</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10516</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
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<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.3920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10344</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
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<dataEOP><pole type="prediction"><X>-0.0122</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10160</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
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<dataEOP><pole type="prediction"><X>-0.0118</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09966</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58197</MJD>
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<dataEOP><pole type="prediction"><X>-0.0114</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09769</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>-0.0110</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09576</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
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<dataEOP><pole type="prediction"><X>-0.0105</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09392</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
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<dataEOP><pole type="prediction"><X>-0.0100</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09218</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0094</X>
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<UT type="prediction"><UT1-UTC>0.09054</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0088</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08895</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0082</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08736</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08568</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
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<dataEOP><pole type="prediction"><X>-0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08388</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
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<dataEOP><pole type="prediction"><X>-0.0061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08191</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58207</MJD>
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<dataEOP><pole type="prediction"><X>-0.0054</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07980</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58208</MJD>
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<dataEOP><pole type="prediction"><X>-0.0046</X>
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<UT type="prediction"><UT1-UTC>0.07759</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0037</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07537</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0029</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07319</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.07111</UT1-UTC>
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<dataEOP><pole type="prediction"><X>-0.0010</X>
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<UT type="prediction"><UT1-UTC>0.06915</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.06732</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06559</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.06397</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0030</X>
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<UT type="prediction"><UT1-UTC>0.06240</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0041</X>
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<UT type="prediction"><UT1-UTC>0.06087</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0052</X>
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<UT type="prediction"><UT1-UTC>0.05933</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0064</X>
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<UT type="prediction"><UT1-UTC>0.05775</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0075</X>
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<UT type="prediction"><UT1-UTC>0.05609</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05434</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0100</X>
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<UT type="prediction"><UT1-UTC>0.05251</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0113</X>
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<UT type="prediction"><UT1-UTC>0.05062</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58224</MJD>
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<dataEOP><pole type="prediction"><X>0.0126</X>
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<UT type="prediction"><UT1-UTC>0.04873</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04692</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0153</X>
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<UT type="prediction"><UT1-UTC>0.04523</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0167</X>
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<UT type="prediction"><UT1-UTC>0.04371</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58228</MJD>
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<dataEOP><pole type="prediction"><X>0.0181</X>
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<UT type="prediction"><UT1-UTC>0.04233</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58229</MJD>
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<dataEOP><pole type="prediction"><X>0.0195</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04107</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58230</MJD>
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<dataEOP><pole type="prediction"><X>0.0210</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03984</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
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<dataEOP><pole type="prediction"><X>0.0225</X>
<Y>0.4591</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03859</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58232</MJD>
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<dataEOP><pole type="prediction"><X>0.0240</X>
<Y>0.4606</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03726</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.4620</Y>
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<UT type="prediction"><UT1-UTC>0.03582</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0272</X>
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<UT type="prediction"><UT1-UTC>0.03427</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<dataEOP><pole type="prediction"><X>0.0288</X>
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<UT type="prediction"><UT1-UTC>0.03267</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0304</X>
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<UT type="prediction"><UT1-UTC>0.03106</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
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<dataEOP><pole type="prediction"><X>0.0321</X>
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<UT type="prediction"><UT1-UTC>0.02950</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
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<dataEOP><pole type="prediction"><X>0.0337</X>
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<UT type="prediction"><UT1-UTC>0.02804</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58239</MJD>
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<dataEOP><pole type="prediction"><X>0.0354</X>
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<UT type="prediction"><UT1-UTC>0.02672</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0372</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02556</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0389</X>
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<UT type="prediction"><UT1-UTC>0.02457</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0407</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02371</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0425</X>
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<UT type="prediction"><UT1-UTC>0.02294</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0443</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02219</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58245</MJD>
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<dataEOP><pole type="prediction"><X>0.0461</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02145</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58246</MJD>
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<dataEOP><pole type="prediction"><X>0.0480</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02067</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58247</MJD>
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<dataEOP><pole type="prediction"><X>0.0499</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01981</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58248</MJD>
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<dataEOP><pole type="prediction"><X>0.0518</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01885</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58249</MJD>
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<dataEOP><pole type="prediction"><X>0.0537</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01782</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58250</MJD>
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<dataEOP><pole type="prediction"><X>0.0556</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01670</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58251</MJD>
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<dataEOP><pole type="prediction"><X>0.0576</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01547</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58252</MJD>
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<dataEOP><pole type="prediction"><X>0.0595</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01424</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58253</MJD>
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<dataEOP><pole type="prediction"><X>0.0615</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01309</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58254</MJD>
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<dataEOP><pole type="prediction"><X>0.0635</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01207</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58255</MJD>
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<dataEOP><pole type="prediction"><X>0.0655</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01117</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
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<dataEOP><pole type="prediction"><X>0.0676</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01034</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
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<dataEOP><pole type="prediction"><X>0.0696</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00953</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58258</MJD>
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<dataEOP><pole type="prediction"><X>0.0717</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00873</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58259</MJD>
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<dataEOP><pole type="prediction"><X>0.0738</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00788</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58260</MJD>
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<dataEOP><pole type="prediction"><X>0.0759</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00690</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58261</MJD>
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<dataEOP><pole type="prediction"><X>0.0780</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00579</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58262</MJD>
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<dataEOP><pole type="prediction"><X>0.0801</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00455</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58263</MJD>
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<dataEOP><pole type="prediction"><X>0.0822</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00320</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0843</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00185</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58265</MJD>
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<dataEOP><pole type="prediction"><X>0.0865</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00057</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58266</MJD>
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<dataEOP><pole type="prediction"><X>0.0886</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00055</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58267</MJD>
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<dataEOP><pole type="prediction"><X>0.0908</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00151</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58268</MJD>
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<dataEOP><pole type="prediction"><X>0.0930</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00229</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58269</MJD>
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<dataEOP><pole type="prediction"><X>0.0952</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00291</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58270</MJD>
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<dataEOP><pole type="prediction"><X>0.0974</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00339</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58271</MJD>
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<dataEOP><pole type="prediction"><X>0.0995</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00378</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58272</MJD>
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<dataEOP><pole type="prediction"><X>0.1018</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00414</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58273</MJD>
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<dataEOP><pole type="prediction"><X>0.1040</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00453</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58274</MJD>
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<dataEOP><pole type="prediction"><X>0.1062</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00499</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58275</MJD>
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<dataEOP><pole type="prediction"><X>0.1084</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00552</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58276</MJD>
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<dataEOP><pole type="prediction"><X>0.1106</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00613</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58277</MJD>
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<dataEOP><pole type="prediction"><X>0.1128</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00683</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58278</MJD>
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<dataEOP><pole type="prediction"><X>0.1151</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00761</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58279</MJD>
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<dataEOP><pole type="prediction"><X>0.1173</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00842</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58280</MJD>
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<dataEOP><pole type="prediction"><X>0.1195</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00921</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
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<dataEOP><pole type="prediction"><X>0.1218</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00992</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58282</MJD>
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<dataEOP><pole type="prediction"><X>0.1240</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01053</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58283</MJD>
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<dataEOP><pole type="prediction"><X>0.1262</X>
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<UT type="prediction"><UT1-UTC>-0.01101</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58284</MJD>
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<dataEOP><pole type="prediction"><X>0.1285</X>
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<UT type="prediction"><UT1-UTC>-0.01141</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58285</MJD>
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<dataEOP><pole type="prediction"><X>0.1307</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01179</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
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<dataEOP><pole type="prediction"><X>0.1329</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01225</UT1-UTC>
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<MJD>58287</MJD>
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<dataEOP><pole type="prediction"><X>0.1351</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01282</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58288</MJD>
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<dataEOP><pole type="prediction"><X>0.1374</X>
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<UT type="prediction"><UT1-UTC>-0.01350</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58289</MJD>
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<dataEOP><pole type="prediction"><X>0.1396</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01428</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1418</X>
<Y>0.5010</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01506</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1440</X>
<Y>0.5008</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01576</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1462</X>
<Y>0.5005</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01632</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1484</X>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1506</X>
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<UT type="prediction"><UT1-UTC>-0.01709</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1528</X>
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<UT type="prediction"><UT1-UTC>-0.01733</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1550</X>
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<UT type="prediction"><UT1-UTC>-0.01748</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1571</X>
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<UT type="prediction"><UT1-UTC>-0.01754</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1593</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01753</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1614</X>
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<UT type="prediction"><UT1-UTC>-0.01751</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1636</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01753</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1657</X>
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<UT type="prediction"><UT1-UTC>-0.01761</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1678</X>
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<UT type="prediction"><UT1-UTC>-0.01784</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1699</X>
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<UT type="prediction"><UT1-UTC>-0.01818</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1720</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01862</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01914</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1762</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01974</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1782</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02038</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1803</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02092</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1823</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02137</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1843</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02172</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1863</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02194</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1883</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02212</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1902</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02237</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1921</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02271</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1941</X>
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<UT type="prediction"><UT1-UTC>-0.02317</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1960</X>
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<UT type="prediction"><UT1-UTC>-0.02375</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1979</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02436</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1997</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02496</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.2016</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02548</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.2034</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02586</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.2052</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02607</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58322</MJD>
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<dataEOP><pole type="prediction"><X>0.2070</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02612</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58323</MJD>
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<dataEOP><pole type="prediction"><X>0.2087</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02606</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.2104</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02590</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.2122</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02575</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.2138</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02563</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58327</MJD>
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<dataEOP><pole type="prediction"><X>0.2155</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02553</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58328</MJD>
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<dataEOP><pole type="prediction"><X>0.2171</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02545</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58329</MJD>
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<dataEOP><pole type="prediction"><X>0.2188</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02548</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58330</MJD>
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<dataEOP><pole type="prediction"><X>0.2204</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02568</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58331</MJD>
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<dataEOP><pole type="prediction"><X>0.2219</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02603</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58332</MJD>
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<dataEOP><pole type="prediction"><X>0.2235</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02652</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58333</MJD>
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<dataEOP><pole type="prediction"><X>0.2250</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02709</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58334</MJD>
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<dataEOP><pole type="prediction"><X>0.2265</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02767</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58335</MJD>
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<dataEOP><pole type="prediction"><X>0.2279</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02824</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58336</MJD>
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<dataEOP><pole type="prediction"><X>0.2293</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02877</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58337</MJD>
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<dataEOP><pole type="prediction"><X>0.2307</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02928</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58338</MJD>
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<dataEOP><pole type="prediction"><X>0.2321</X>
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<UT type="prediction"><UT1-UTC>-0.02975</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58339</MJD>
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<dataEOP><pole type="prediction"><X>0.2335</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03019</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58340</MJD>
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<dataEOP><pole type="prediction"><X>0.2348</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03071</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58341</MJD>
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<dataEOP><pole type="prediction"><X>0.2361</X>
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<UT type="prediction"><UT1-UTC>-0.03137</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58342</MJD>
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<dataEOP><pole type="prediction"><X>0.2373</X>
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<UT type="prediction"><UT1-UTC>-0.03218</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58343</MJD>
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<dataEOP><pole type="prediction"><X>0.2385</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03312</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58344</MJD>
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<dataEOP><pole type="prediction"><X>0.2397</X>
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<UT type="prediction"><UT1-UTC>-0.03414</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58345</MJD>
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<dataEOP><pole type="prediction"><X>0.2409</X>
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<UT type="prediction"><UT1-UTC>-0.03518</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58346</MJD>
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<dataEOP><pole type="prediction"><X>0.2420</X>
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<UT type="prediction"><UT1-UTC>-0.03617</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58347</MJD>
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<dataEOP><pole type="prediction"><X>0.2432</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03704</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58348</MJD>
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<dataEOP><pole type="prediction"><X>0.2442</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03773</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58349</MJD>
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<dataEOP><pole type="prediction"><X>0.2453</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03822</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58350</MJD>
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<dataEOP><pole type="prediction"><X>0.2463</X>
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<UT type="prediction"><UT1-UTC>-0.03855</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58351</MJD>
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<dataEOP><pole type="prediction"><X>0.2473</X>
<Y>0.4363</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03875</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2482</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03885</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58353</MJD>
</time>
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