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<UT type="prediction"><UT1-UTC>0.49697</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.49523</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.3415</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49354</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0066</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49191</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0067</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49035</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0068</X>
<Y>0.3467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48888</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3484</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.3502</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48487</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48355</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48218</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48070</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0067</X>
<Y>0.3589</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0066</X>
<Y>0.3607</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47727</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.3624</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47529</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0062</X>
<Y>0.3642</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47318</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0060</X>
<Y>0.3659</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47100</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.3676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46886</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0054</X>
<Y>0.3694</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3711</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46321</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0043</X>
<Y>0.3745</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3762</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46000</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>-0.0035</X>
<Y>0.3779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45843</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0030</X>
<Y>0.3796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45680</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0024</X>
<Y>0.3813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45509</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0019</X>
<Y>0.3830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45330</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>-0.0013</X>
<Y>0.3847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45146</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0007</X>
<Y>0.3864</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44960</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0000</X>
<Y>0.3880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44777</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>0.0006</X>
<Y>0.3897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44601</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>0.0013</X>
<Y>0.3913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44434</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0021</X>
<Y>0.3929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44279</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0028</X>
<Y>0.3946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44134</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0036</X>
<Y>0.3962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43999</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.3978</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43871</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57861</MJD>
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<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.3993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43744</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0062</X>
<Y>0.4009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43615</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0071</X>
<Y>0.4025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43478</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0080</X>
<Y>0.4040</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43329</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.4055</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43166</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0100</X>
<Y>0.4071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42985</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0110</X>
<Y>0.4086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42790</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57868</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0120</X>
<Y>0.4100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42584</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57869</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0131</X>
<Y>0.4115</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42377</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0142</X>
<Y>0.4130</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42178</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57871</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0153</X>
<Y>0.4144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41993</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57872</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0165</X>
<Y>0.4158</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41825</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57873</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0176</X>
<Y>0.4172</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41672</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57874</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0188</X>
<Y>0.4186</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41529</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57875</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0201</X>
<Y>0.4200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41389</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57876</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0213</X>
<Y>0.4213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41248</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>57877</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0226</X>
<Y>0.4226</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41103</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57878</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0239</X>
<Y>0.4239</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40953</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57879</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0252</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40801</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57880</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0265</X>
<Y>0.4265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40649</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57881</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.4278</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40500</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57882</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0292</X>
<Y>0.4290</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40358</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>57883</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0306</X>
<Y>0.4302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40226</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
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<MJD>57884</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0321</X>
<Y>0.4314</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40105</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57885</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0335</X>
<Y>0.4325</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>57886</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0350</X>
<Y>0.4337</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39898</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39809</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39643</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39557</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39463</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39357</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38954</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38800</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38649</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38507</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38381</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38271</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38173</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38081</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37989</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37894</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37794</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37692</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37590</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37401</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37320</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37251</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37193</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37146</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37109</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37078</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37049</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37018</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36799</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36621</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36525</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36434</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36355</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36289</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36236</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36190</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36144</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36094</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35976</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35914</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35854</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35800</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35755</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35697</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35685</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35681</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35684</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35688</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1371</X>
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<UT type="prediction"><UT1-UTC>0.35691</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35686</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34691</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34686</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34683</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2100</X>
<Y>0.3891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2104</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32200</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2108</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32071</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2111</X>
<Y>0.3845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31950</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2114</X>
<Y>0.3829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31835</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2116</X>
<Y>0.3814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2118</X>
<Y>0.3798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31608</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2120</X>
<Y>0.3783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31484</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2122</X>
<Y>0.3767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31350</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2124</X>
<Y>0.3752</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31205</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2125</X>
<Y>0.3736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31055</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2125</X>
<Y>0.3720</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30903</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3705</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30757</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3658</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2125</X>
<Y>0.3642</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30312</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2124</X>
<Y>0.3627</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30236</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2123</X>
<Y>0.3611</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30164</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2121</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30084</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2119</X>
<Y>0.3580</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2117</X>
<Y>0.3564</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29899</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2115</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29785</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2112</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29660</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2109</X>
<Y>0.3518</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2105</X>
<Y>0.3503</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29354</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2102</X>
<Y>0.3488</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2098</X>
<Y>0.3472</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29008</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2094</X>
<Y>0.3457</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28827</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2089</X>
<Y>0.3442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28653</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2085</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28493</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2080</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2074</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28191</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2069</X>
<Y>0.3383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28040</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2063</X>
<Y>0.3368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27887</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2057</X>
<Y>0.3353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27721</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2050</X>
<Y>0.3339</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2044</X>
<Y>0.3324</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2037</X>
<Y>0.3310</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27140</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3296</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2007</X>
<Y>0.3254</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.3240</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26220</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3227</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26080</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25949</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.3187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1954</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25584</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1944</X>
<Y>0.3161</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1934</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25307</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1924</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25153</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1914</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1903</X>
<Y>0.3111</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24790</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1893</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1882</X>
<Y>0.3087</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1871</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24206</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1859</X>
<Y>0.3064</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1848</X>
<Y>0.3053</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23851</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1836</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23691</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1824</X>
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<UT type="prediction"><UT1-UTC>0.23531</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23369</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23196</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23007</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22811</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22603</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22393</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22189</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21991</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21801</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21624</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21462</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21306</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21150</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1638</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20997</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1624</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20839</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20674</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1595</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20490</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20285</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1565</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20065</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19835</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19606</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19376</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19154</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1489</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18942</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1474</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18740</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1459</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18552</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1443</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18379</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1427</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18211</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1412</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18045</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1396</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17879</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1380</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17711</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1364</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17543</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.17368</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1332</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17205</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1316</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17044</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1300</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16897</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1284</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16764</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1268</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16643</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1252</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16537</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1236</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16440</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1220</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16356</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1204</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16263</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1187</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16167</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1171</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16059</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1155</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15945</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1139</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15823</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15688</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1107</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15539</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1091</X>
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<UT type="prediction"><UT1-UTC>0.15375</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15213</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1059</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15061</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
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<dataEOP><pole type="prediction"><X>0.1043</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14919</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.1028</X>
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<UT type="prediction"><UT1-UTC>0.14788</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1012</X>
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<UT type="prediction"><UT1-UTC>0.14661</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0996</X>
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<UT type="prediction"><UT1-UTC>0.14547</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0980</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14425</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0965</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14292</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0949</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14150</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0934</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13997</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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