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<timeSeries><time><dateYear>2015</dateYear>
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<UT type="prediction"><UT1-UTC>0.20919</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2132</X>
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<UT type="prediction"><UT1-UTC>0.20741</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20565</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2113</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20392</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2103</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20225</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2092</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20063</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2082</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19904</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2071</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19745</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2060</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19581</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2048</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19407</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2036</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19219</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2024</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19013</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2012</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18792</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2000</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18558</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.18320</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1974</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18086</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1961</X>
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<UT type="prediction"><UT1-UTC>0.17866</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1947</X>
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<UT type="prediction"><UT1-UTC>0.17664</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1933</X>
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<UT type="prediction"><UT1-UTC>0.17480</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.17311</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1905</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17151</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1891</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16995</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1876</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16840</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1861</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16682</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1846</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16520</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1831</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16354</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.16183</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1799</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16012</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1784</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15841</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.1767</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15674</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.15512</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1735</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15357</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.15209</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.15068</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.14931</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1667</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14794</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1649</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14651</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<UT type="prediction"><UT1-UTC>0.14497</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1614</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14330</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1596</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14148</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1579</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13954</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1560</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13753</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1542</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13552</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1524</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13359</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1505</X>
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<UT type="prediction"><UT1-UTC>0.13180</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1487</X>
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<UT type="prediction"><UT1-UTC>0.13018</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1468</X>
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<UT type="prediction"><UT1-UTC>0.12871</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1449</X>
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<UT type="prediction"><UT1-UTC>0.12735</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1430</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12606</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1411</X>
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<UT type="prediction"><UT1-UTC>0.12480</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.12352</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1373</X>
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<UT type="prediction"><UT1-UTC>0.12222</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1353</X>
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<UT type="prediction"><UT1-UTC>0.12088</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.11952</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1315</X>
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<UT type="prediction"><UT1-UTC>0.11815</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.11679</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1275</X>
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<UT type="prediction"><UT1-UTC>0.11546</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1256</X>
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<UT type="prediction"><UT1-UTC>0.11419</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1236</X>
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<UT type="prediction"><UT1-UTC>0.11298</UT1-UTC>
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<MJD>57366</MJD>
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<dataEOP><pole type="prediction"><X>0.1216</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11184</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1196</X>
<Y>0.2371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11077</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1177</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10973</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1157</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1137</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10764</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1117</X>
<Y>0.2362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10648</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1097</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10521</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1077</X>
<Y>0.2359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1057</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1037</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1017</X>
<Y>0.2357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0997</X>
<Y>0.2357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09739</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0977</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09581</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0957</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09437</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0937</X>
<Y>0.2359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0917</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0898</X>
<Y>0.2362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0878</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0858</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0838</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0819</X>
<Y>0.2371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0799</X>
<Y>0.2374</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0780</X>
<Y>0.2377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0760</X>
<Y>0.2380</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08238</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0741</X>
<Y>0.2384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08115</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0722</X>
<Y>0.2388</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0703</X>
<Y>0.2393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07884</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57393</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0684</X>
<Y>0.2397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07778</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0665</X>
<Y>0.2402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07677</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0646</X>
<Y>0.2408</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07581</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0627</X>
<Y>0.2413</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07484</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57397</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0608</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57398</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0590</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07275</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57399</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0571</X>
<Y>0.2431</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57400</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0553</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07014</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57401</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0535</X>
<Y>0.2445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06862</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57402</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0517</X>
<Y>0.2452</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57403</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0499</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57404</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0482</X>
<Y>0.2467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06381</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57405</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
<Y>0.2475</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57406</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0447</X>
<Y>0.2484</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06099</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57407</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0430</X>
<Y>0.2492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57408</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0413</X>
<Y>0.2501</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57409</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0396</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05764</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57410</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0379</X>
<Y>0.2519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57411</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0362</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05557</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57412</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0346</X>
<Y>0.2539</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05447</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57413</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0330</X>
<Y>0.2549</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05330</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57414</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0314</X>
<Y>0.2559</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57415</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0298</X>
<Y>0.2569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05083</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57416</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0283</X>
<Y>0.2580</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04956</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57417</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0268</X>
<Y>0.2591</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04830</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57418</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0252</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04708</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57419</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0238</X>
<Y>0.2614</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>57420</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0223</X>
<Y>0.2626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>57421</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0208</X>
<Y>0.2638</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04372</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>57422</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0194</X>
<Y>0.2650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04269</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>57423</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0180</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57424</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0166</X>
<Y>0.2675</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57425</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0153</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03945</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>57426</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0140</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57427</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0127</X>
<Y>0.2714</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03669</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57428</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0114</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03505</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57429</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03328</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57430</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03145</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57431</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0077</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57432</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0065</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57433</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02639</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57434</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0043</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02498</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57435</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0032</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02369</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>57436</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0021</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02248</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57437</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0011</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02130</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57438</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0001</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57439</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0009</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01884</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57440</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0019</X>
<Y>0.2902</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01752</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57441</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0028</X>
<Y>0.2918</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57442</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0037</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57443</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01323</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57444</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0054</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01177</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57445</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0062</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01032</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57446</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00892</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>29</dateDay>
<MJD>57447</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0077</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00757</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57448</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0085</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00628</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>02</dateDay>
<MJD>57449</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0091</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00503</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>03</dateDay>
<MJD>57450</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0098</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00380</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57451</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.3081</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00255</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>05</dateDay>
<MJD>57452</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0110</X>
<Y>0.3098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00122</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>06</dateDay>
<MJD>57453</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0116</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00023</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>07</dateDay>
<MJD>57454</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0121</X>
<Y>0.3133</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00185</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>08</dateDay>
<MJD>57455</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3150</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00367</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>09</dateDay>
<MJD>57456</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0131</X>
<Y>0.3167</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00566</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>10</dateDay>
<MJD>57457</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0135</X>
<Y>0.3185</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00775</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>11</dateDay>
<MJD>57458</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0139</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00984</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>12</dateDay>
<MJD>57459</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0143</X>
<Y>0.3220</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01183</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>13</dateDay>
<MJD>57460</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0146</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01366</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>14</dateDay>
<MJD>57461</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0150</X>
<Y>0.3255</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01531</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>15</dateDay>
<MJD>57462</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0152</X>
<Y>0.3273</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01679</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>16</dateDay>
<MJD>57463</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0155</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01816</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>17</dateDay>
<MJD>57464</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0157</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01949</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>18</dateDay>
<MJD>57465</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02082</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>19</dateDay>
<MJD>57466</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0160</X>
<Y>0.3345</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02219</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>20</dateDay>
<MJD>57467</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0161</X>
<Y>0.3363</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02362</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>21</dateDay>
<MJD>57468</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0162</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02509</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>22</dateDay>
<MJD>57469</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0163</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02660</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>23</dateDay>
<MJD>57470</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0163</X>
<Y>0.3417</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02810</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>24</dateDay>
<MJD>57471</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0163</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02956</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57472</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0162</X>
<Y>0.3453</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03096</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57473</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0162</X>
<Y>0.3471</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03229</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57474</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0161</X>
<Y>0.3489</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03353</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57475</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03470</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57476</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0157</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03581</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57477</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0155</X>
<Y>0.3543</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03689</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57478</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0153</X>
<Y>0.3561</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03797</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57479</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0150</X>
<Y>0.3579</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03912</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57480</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0147</X>
<Y>0.3597</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04040</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57481</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0144</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04185</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57482</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0140</X>
<Y>0.3633</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04353</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57483</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0136</X>
<Y>0.3651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04543</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57484</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0132</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04752</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57485</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3686</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04972</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57486</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3704</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05193</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57487</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0117</X>
<Y>0.3722</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05402</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57488</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.3739</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57489</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3757</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05762</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57490</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0100</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05920</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57491</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57492</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.3809</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06229</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57493</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0080</X>
<Y>0.3826</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57494</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0072</X>
<Y>0.3843</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06528</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57495</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0065</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57496</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06844</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57497</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3893</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07006</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57498</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0040</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07162</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57499</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0031</X>
<Y>0.3927</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57500</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0022</X>
<Y>0.3943</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57501</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0013</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07581</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57502</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0003</X>
<Y>0.3975</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07694</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57503</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07798</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57504</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0017</X>
<Y>0.4007</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07897</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57505</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0027</X>
<Y>0.4023</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07987</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57506</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0038</X>
<Y>0.4038</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08096</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57507</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0049</X>
<Y>0.4054</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08201</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57508</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0060</X>
<Y>0.4069</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57509</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0072</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08466</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57510</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0084</X>
<Y>0.4099</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57511</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0096</X>
<Y>0.4114</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08797</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57512</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0108</X>
<Y>0.4128</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>57513</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0120</X>
<Y>0.4143</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09186</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>57514</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.4157</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09381</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>57515</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.4171</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57516</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.4185</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09715</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57517</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0173</X>
<Y>0.4199</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57518</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0187</X>
<Y>0.4212</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09968</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57519</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0200</X>
<Y>0.4225</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10078</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57520</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0215</X>
<Y>0.4238</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10191</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>13</dateDay>
<MJD>57521</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0229</X>
<Y>0.4251</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10301</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>14</dateDay>
<MJD>57522</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0243</X>
<Y>0.4264</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10407</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>15</dateDay>
<MJD>57523</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0258</X>
<Y>0.4276</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10508</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>16</dateDay>
<MJD>57524</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0273</X>
<Y>0.4289</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10603</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>17</dateDay>
<MJD>57525</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0288</X>
<Y>0.4301</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10703</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>18</dateDay>
<MJD>57526</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0304</X>
<Y>0.4313</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10798</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>57527</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.4324</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10894</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>57528</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0335</X>
<Y>0.4336</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10987</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>21</dateDay>
<MJD>57529</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0351</X>
<Y>0.4347</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11068</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>22</dateDay>
<MJD>57530</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0367</X>
<Y>0.4358</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11138</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>23</dateDay>
<MJD>57531</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0383</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11198</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>24</dateDay>
<MJD>57532</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0400</X>
<Y>0.4379</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11255</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>25</dateDay>
<MJD>57533</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0416</X>
<Y>0.4389</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11317</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>26</dateDay>
<MJD>57534</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0433</X>
<Y>0.4399</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11379</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>27</dateDay>
<MJD>57535</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0450</X>
<Y>0.4409</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11443</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>28</dateDay>
<MJD>57536</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0467</X>
<Y>0.4418</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11520</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>29</dateDay>
<MJD>57537</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0484</X>
<Y>0.4427</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11605</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>30</dateDay>
<MJD>57538</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0502</X>
<Y>0.4436</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11707</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>31</dateDay>
<MJD>57539</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0519</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11820</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>57540</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0537</X>
<Y>0.4454</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11938</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>02</dateDay>
<MJD>57541</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0554</X>
<Y>0.4462</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12058</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>03</dateDay>
<MJD>57542</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0572</X>
<Y>0.4470</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12174</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>57543</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0590</X>
<Y>0.4478</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12280</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>57544</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0608</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12370</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>57545</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0626</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>57546</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0645</X>
<Y>0.4499</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12513</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>57547</MJD>
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<dataEOP><pole type="prediction"><X>0.0663</X>
<Y>0.4506</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12571</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>09</dateDay>
<MJD>57548</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0682</X>
<Y>0.4512</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12633</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>10</dateDay>
<MJD>57549</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0700</X>
<Y>0.4518</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12704</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>57550</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0719</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12777</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>57551</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0738</X>
<Y>0.4530</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12846</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57552</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0756</X>
<Y>0.4535</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57553</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0775</X>
<Y>0.4540</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12982</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>57554</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0794</X>
<Y>0.4545</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13035</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>16</dateDay>
<MJD>57555</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0813</X>
<Y>0.4549</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13077</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>17</dateDay>
<MJD>57556</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0832</X>
<Y>0.4553</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>18</dateDay>
<MJD>57557</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0851</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13137</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>19</dateDay>
<MJD>57558</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0870</X>
<Y>0.4561</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57559</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0890</X>
<Y>0.4564</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57560</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0909</X>
<Y>0.4567</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13139</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57561</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0928</X>
<Y>0.4570</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57562</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0947</X>
<Y>0.4572</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13133</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57563</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0966</X>
<Y>0.4575</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13139</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57564</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0986</X>
<Y>0.4576</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57565</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1005</X>
<Y>0.4578</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57566</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1024</X>
<Y>0.4579</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57567</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1043</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57568</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1063</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57569</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1082</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13381</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57570</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1101</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13415</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57571</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1120</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13434</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57572</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1139</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57573</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1159</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13446</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>05</dateDay>
<MJD>57574</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1178</X>
<Y>0.4580</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13443</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>06</dateDay>
<MJD>57575</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1197</X>
<Y>0.4579</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13436</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>07</dateDay>
<MJD>57576</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1216</X>
<Y>0.4577</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13428</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>08</dateDay>
<MJD>57577</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1235</X>
<Y>0.4576</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13427</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57578</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1253</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13430</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57579</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1272</X>
<Y>0.4571</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13437</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57580</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1291</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13437</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57581</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1310</X>
<Y>0.4566</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13436</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>13</dateDay>
<MJD>57582</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1328</X>
<Y>0.4563</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13428</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>14</dateDay>
<MJD>57583</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1347</X>
<Y>0.4559</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13414</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57584</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1365</X>
<Y>0.4556</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13401</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>16</dateDay>
<MJD>57585</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1383</X>
<Y>0.4552</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13375</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57586</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1402</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13345</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57587</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1420</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57588</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1438</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13286</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57589</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1455</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13268</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57590</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1473</X>
<Y>0.4528</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13256</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57591</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1491</X>
<Y>0.4522</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>23</dateDay>
<MJD>57592</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1508</X>
<Y>0.4516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13256</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>24</dateDay>
<MJD>57593</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1526</X>
<Y>0.4510</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13282</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>25</dateDay>
<MJD>57594</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1543</X>
<Y>0.4504</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13317</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>26</dateDay>
<MJD>57595</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1560</X>
<Y>0.4497</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13353</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>27</dateDay>
<MJD>57596</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1577</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13384</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>28</dateDay>
<MJD>57597</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1594</X>
<Y>0.4483</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13408</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>29</dateDay>
<MJD>57598</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1610</X>
<Y>0.4476</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13421</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>30</dateDay>
<MJD>57599</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1627</X>
<Y>0.4468</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13426</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>31</dateDay>
<MJD>57600</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1643</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13434</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>01</dateDay>
<MJD>57601</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1659</X>
<Y>0.4452</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13432</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>02</dateDay>
<MJD>57602</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1675</X>
<Y>0.4444</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13428</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>03</dateDay>
<MJD>57603</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1691</X>
<Y>0.4435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13427</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57604</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1706</X>
<Y>0.4426</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13434</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57605</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1722</X>
<Y>0.4417</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13444</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57606</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1737</X>
<Y>0.4408</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13464</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<UT type="prediction"><UT1-UTC>-0.13736</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13801</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13852</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13890</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13914</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13938</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13964</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13985</UT1-UTC>
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<Y>0.4124</Y>
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<UT type="prediction"><UT1-UTC>-0.14025</UT1-UTC>
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<MJD>57631</MJD>
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<Y>0.4110</Y>
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<UT type="prediction"><UT1-UTC>-0.14073</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57632</MJD>
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<dataEOP><pole type="prediction"><X>0.2055</X>
<Y>0.4096</Y>
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<UT type="prediction"><UT1-UTC>-0.14130</UT1-UTC>
</UT>
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<MJD>57633</MJD>
</time>
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<Y>0.4081</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14197</UT1-UTC>
</UT>
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