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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57682</MJD>
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<dataEOP><pole type="prediction"><X>0.2136</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.30806</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57683</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2124</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30956</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57684</MJD>
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<dataEOP><pole type="prediction"><X>0.2112</X>
<Y>0.3007</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31106</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57685</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2099</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31257</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57686</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2086</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.31413</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57687</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2073</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31574</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57688</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2060</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.31738</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57689</MJD>
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<dataEOP><pole type="prediction"><X>0.2047</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.31902</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57690</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2033</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.32064</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57691</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2019</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.32222</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.2898</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32373</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.32517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57694</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.32653</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57696</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1946</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.32910</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1930</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.33036</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57698</MJD>
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<dataEOP><pole type="prediction"><X>0.1915</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33167</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.1899</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33307</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57700</MJD>
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<dataEOP><pole type="prediction"><X>0.1883</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.33459</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57701</MJD>
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<dataEOP><pole type="prediction"><X>0.1867</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33627</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.1851</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33812</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57703</MJD>
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<dataEOP><pole type="prediction"><X>0.1835</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.34012</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57704</MJD>
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<dataEOP><pole type="prediction"><X>0.1818</X>
<Y>0.2761</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34223</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57705</MJD>
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<dataEOP><pole type="prediction"><X>0.1801</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.34436</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.1784</X>
<Y>0.2742</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34643</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.1767</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.34836</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57708</MJD>
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<dataEOP><pole type="prediction"><X>0.1750</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.35014</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>0.1732</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.35178</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57710</MJD>
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<dataEOP><pole type="prediction"><X>0.1715</X>
<Y>0.2707</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35334</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57711</MJD>
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<dataEOP><pole type="prediction"><X>0.1697</X>
<Y>0.2698</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35489</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57712</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1679</X>
<Y>0.2690</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35646</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57713</MJD>
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<dataEOP><pole type="prediction"><X>0.1661</X>
<Y>0.2683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35807</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57714</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1643</X>
<Y>0.2675</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35974</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57715</MJD>
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<dataEOP><pole type="prediction"><X>0.1625</X>
<Y>0.2668</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36145</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57716</MJD>
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<dataEOP><pole type="prediction"><X>0.1606</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.36317</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57717</MJD>
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<dataEOP><pole type="prediction"><X>0.1588</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.36488</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57718</MJD>
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<dataEOP><pole type="prediction"><X>0.1569</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.36655</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57719</MJD>
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<dataEOP><pole type="prediction"><X>0.1550</X>
<Y>0.2643</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36814</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57720</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1532</X>
<Y>0.2637</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36966</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57721</MJD>
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<dataEOP><pole type="prediction"><X>0.1513</X>
<Y>0.2632</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37109</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57722</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1494</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37243</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57723</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1475</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37371</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57724</MJD>
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<dataEOP><pole type="prediction"><X>0.1456</X>
<Y>0.2617</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37496</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57725</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1436</X>
<Y>0.2613</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37621</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57726</MJD>
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<dataEOP><pole type="prediction"><X>0.1417</X>
<Y>0.2609</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37751</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57727</MJD>
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<dataEOP><pole type="prediction"><X>0.1398</X>
<Y>0.2606</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37891</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57728</MJD>
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<dataEOP><pole type="prediction"><X>0.1378</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38044</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57729</MJD>
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<dataEOP><pole type="prediction"><X>0.1359</X>
<Y>0.2599</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38212</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57730</MJD>
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<dataEOP><pole type="prediction"><X>0.1340</X>
<Y>0.2597</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38393</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57731</MJD>
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<dataEOP><pole type="prediction"><X>0.1320</X>
<Y>0.2594</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38586</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57732</MJD>
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<dataEOP><pole type="prediction"><X>0.1301</X>
<Y>0.2592</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57733</MJD>
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<dataEOP><pole type="prediction"><X>0.1281</X>
<Y>0.2590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38979</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57734</MJD>
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<dataEOP><pole type="prediction"><X>0.1261</X>
<Y>0.2589</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39165</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57735</MJD>
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<dataEOP><pole type="prediction"><X>0.1242</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57736</MJD>
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<dataEOP><pole type="prediction"><X>0.1222</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39495</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57737</MJD>
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<dataEOP><pole type="prediction"><X>0.1203</X>
<Y>0.2586</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39642</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57738</MJD>
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<dataEOP><pole type="prediction"><X>0.1183</X>
<Y>0.2586</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39785</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57739</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1164</X>
<Y>0.2586</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39929</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57740</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1144</X>
<Y>0.2586</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40076</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57741</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1124</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40227</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57742</MJD>
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<dataEOP><pole type="prediction"><X>0.1105</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40381</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57743</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1085</X>
<Y>0.2589</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40535</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>22</dateDay>
<MJD>57744</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1066</X>
<Y>0.2590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40688</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57745</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1047</X>
<Y>0.2592</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40835</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57746</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1027</X>
<Y>0.2594</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40976</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57747</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1008</X>
<Y>0.2596</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41109</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>26</dateDay>
<MJD>57748</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0989</X>
<Y>0.2599</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41232</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57749</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0970</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41347</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57750</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0950</X>
<Y>0.2605</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41456</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>29</dateDay>
<MJD>57751</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0931</X>
<Y>0.2609</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41561</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57752</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0912</X>
<Y>0.2613</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41667</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57753</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0894</X>
<Y>0.2617</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41777</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57754</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0875</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.58104</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57755</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0856</X>
<Y>0.2626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57977</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57756</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0837</X>
<Y>0.2631</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57757</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0819</X>
<Y>0.2636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57681</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57758</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0801</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57515</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57759</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0782</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57342</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57760</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0764</X>
<Y>0.2654</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57169</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57761</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0746</X>
<Y>0.2660</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57001</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57762</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0728</X>
<Y>0.2667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56843</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57763</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0711</X>
<Y>0.2674</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56697</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>57764</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0693</X>
<Y>0.2681</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56560</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>57765</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0676</X>
<Y>0.2689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56427</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57766</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0658</X>
<Y>0.2697</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56293</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57767</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0641</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56154</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57768</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0624</X>
<Y>0.2713</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56007</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>57769</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0607</X>
<Y>0.2722</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55855</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>57770</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0591</X>
<Y>0.2731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55700</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>57771</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0574</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55546</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57772</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0558</X>
<Y>0.2749</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55395</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57773</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0542</X>
<Y>0.2759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55251</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>57774</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0526</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55115</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>57775</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0510</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54988</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>57776</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0495</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54870</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>57777</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0480</X>
<Y>0.2799</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54757</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>57778</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0465</X>
<Y>0.2810</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54649</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>57779</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0450</X>
<Y>0.2821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54540</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>57780</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0435</X>
<Y>0.2833</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54427</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57781</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0421</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54304</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>57782</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54169</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>57783</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0392</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54017</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>57784</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0379</X>
<Y>0.2880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53851</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57785</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0365</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53673</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>57786</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0352</X>
<Y>0.2905</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53487</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>57787</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0339</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53301</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>57788</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0326</X>
<Y>0.2930</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53120</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>57789</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52949</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57790</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0301</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52788</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>57791</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0289</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52637</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>57792</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0277</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52490</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>57793</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0266</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52343</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>57794</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0254</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52190</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>57795</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0243</X>
<Y>0.3027</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52028</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>57796</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0233</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51857</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57797</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51680</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57798</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0212</X>
<Y>0.3070</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51500</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57799</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0202</X>
<Y>0.3085</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51322</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57800</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0193</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57801</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50983</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57802</MJD>
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<dataEOP><pole type="prediction"><X>0.0174</X>
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<UT type="prediction"><UT1-UTC>0.50826</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57803</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0165</X>
<Y>0.3146</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50677</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57804</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0157</X>
<Y>0.3162</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50536</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57805</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.3178</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50399</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>57806</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0141</X>
<Y>0.3194</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50263</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57807</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50123</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57808</MJD>
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<dataEOP><pole type="prediction"><X>0.0126</X>
<Y>0.3226</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49975</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57809</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0119</X>
<Y>0.3242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49813</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>57810</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0112</X>
<Y>0.3258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49635</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>57811</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0106</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49439</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57812</MJD>
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<dataEOP><pole type="prediction"><X>0.0100</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49228</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57813</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0094</X>
<Y>0.3308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49007</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>57814</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.3325</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48784</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>57815</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0084</X>
<Y>0.3341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48565</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>57816</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48356</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>57817</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0075</X>
<Y>0.3375</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48160</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57818</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0070</X>
<Y>0.3392</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47974</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>57819</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.3409</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47796</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>57820</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0063</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47619</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>57821</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0060</X>
<Y>0.3444</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47438</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3461</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47249</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>57823</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.3478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47051</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0052</X>
<Y>0.3496</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46845</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0050</X>
<Y>0.3513</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46635</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3530</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46425</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46219</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3565</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46020</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3583</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45831</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.3600</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45652</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.3618</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45484</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.3635</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45323</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45167</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45012</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3687</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44852</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0050</X>
<Y>0.3705</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44684</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0052</X>
<Y>0.3722</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44502</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.3740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44303</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3757</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44089</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43861</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0063</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43626</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0066</X>
<Y>0.3809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43393</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0070</X>
<Y>0.3826</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43167</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0074</X>
<Y>0.3843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42954</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0078</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42752</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42559</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42369</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0093</X>
<Y>0.3911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42177</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0099</X>
<Y>0.3927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41980</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0105</X>
<Y>0.3944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41776</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0111</X>
<Y>0.3961</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41565</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0118</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41350</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0125</X>
<Y>0.3993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41134</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0132</X>
<Y>0.4010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40922</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0139</X>
<Y>0.4026</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40715</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0147</X>
<Y>0.4042</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40517</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0155</X>
<Y>0.4058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40327</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0163</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40148</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0172</X>
<Y>0.4089</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39978</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0180</X>
<Y>0.4105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39817</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0190</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39662</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57862</MJD>
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<dataEOP><pole type="prediction"><X>0.0199</X>
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<UT type="prediction"><UT1-UTC>0.39506</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0209</X>
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<UT type="prediction"><UT1-UTC>0.39342</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0218</X>
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<UT type="prediction"><UT1-UTC>0.39168</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0229</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.38981</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0239</X>
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<UT type="prediction"><UT1-UTC>0.38779</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0250</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.38565</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0261</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.38342</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0272</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.38120</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0283</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37917</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0295</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37728</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57872</MJD>
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<dataEOP><pole type="prediction"><X>0.0307</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37558</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57873</MJD>
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<dataEOP><pole type="prediction"><X>0.0319</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37401</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0332</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37253</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0344</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37107</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0357</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36954</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0370</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36802</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0383</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36631</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0397</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36464</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0411</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36285</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0424</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36107</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0439</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35939</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57883</MJD>
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<dataEOP><pole type="prediction"><X>0.0453</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35787</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0467</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35633</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0482</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35512</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0497</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35401</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0512</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35301</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0527</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35209</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0543</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35113</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0558</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0574</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34914</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0590</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34785</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0606</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34640</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0622</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34474</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34291</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0655</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34094</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0672</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33894</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0688</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33700</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0705</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33525</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0722</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33364</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0739</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33215</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0757</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33069</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0774</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32922</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57904</MJD>
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<dataEOP><pole type="prediction"><X>0.0791</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32782</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57905</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0809</X>
<Y>0.4609</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32629</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57906</MJD>
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<dataEOP><pole type="prediction"><X>0.0826</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32475</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0844</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32309</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0862</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32151</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0880</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31992</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0898</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31838</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0915</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31697</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0933</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31563</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0952</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31439</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0970</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31317</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0988</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31202</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1006</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31090</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1024</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30978</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30864</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30746</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57920</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1079</X>
<Y>0.4667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30615</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57921</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1097</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30476</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.30334</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30188</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30044</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29915</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29806</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29703</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29624</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29548</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29464</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29379</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29289</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29196</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29111</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29029</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28952</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28881</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28821</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28771</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28724</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28685</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28652</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28615</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28576</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28539</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28493</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28441</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28372</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28291</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28198</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28107</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28019</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27943</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27887</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27850</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27822</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27793</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27766</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27731</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27697</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27652</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27608</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1807</X>
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<UT type="prediction"><UT1-UTC>0.27564</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27519</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27477</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27441</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27414</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27391</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27380</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27371</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27362</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27347</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27323</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27282</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27226</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27156</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27083</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27007</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2006</X>
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<UT type="prediction"><UT1-UTC>0.26929</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2016</X>
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<UT type="prediction"><UT1-UTC>0.26851</UT1-UTC>
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