Thursday, September 20

©™® Rechkabo Kakuhoningen

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                  <p><a href=",1,1277476.story?page=2" target="_blank" title="Los Angeles Times. Vladimir Keilis-Borok: After earthquake prediction, a tough second act"><img border="0" height="33" src="" width="150" /></a><br />
                    <font face="Times New Roman, Times, serif" size="2"><a href="" target="_blank" title="Twitter">©™®
                    Rechkabo Kakuhoningen</a></font></p>
                <div class="vcard">
        <div><a class="fn org url" href="">「みんなで学ぶ北方領土」学生が体験発表</a>
        <div class="adr"> <span class="postal-code">0400054</span> <span class="country-name">Japan</span>
          <span class="region">Hokkaido</span> <span class="locality">Hakodate</span>
          <span class="street-address">Motomachi </span> <span class="extended-address">
          14-1</span> </div>
        <div class="geo"> <span class="latitude"> <span class="value-title" title="41.764162">
          </span> </span> <span class="longitude"> <span class="value-title" title="140.711769">
          </span> </span> </div>
        <div class="tel">Tel: <abbr class="value" title="0138-26-6523">0138-26-6523</abbr>

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You can write whatever you want, but technically, the precise mathematical-statistical forecast of earthquakes based on information about the behavior of wild and domestic animals, birds, fish, and individuals available from 1995, with the advent of social networking.

THE STRUCTURE OF INPUT BIG DATA: API applications to social networks