{"id":21199,"date":"2020-10-08T21:59:56","date_gmt":"2020-10-08T13:59:56","guid":{"rendered":"https:\/\/swarma.org\/?p=21199"},"modified":"2020-10-08T21:59:56","modified_gmt":"2020-10-08T13:59:56","slug":"%e5%9b%a0%e6%9e%9c%e5%8f%91%e7%8e%b0%e7%9a%84%e6%96%b0%e6%a1%86%e6%9e%b6-%e7%bd%91%e7%bb%9c%e7%a7%91%e5%ad%a6%e8%ae%ba%e6%96%87%e9%80%9f%e9%80%9213%e7%af%87","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=21199","title":{"rendered":"\u56e0\u679c\u53d1\u73b0\u7684\u65b0\u6846\u67b6 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901213\u7bc7"},"content":{"rendered":"
\n
\u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0arXiv\u9884\u5370\u672c\u8bba\u6587\u3002<\/span>
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<\/span><\/section>\n
\u672c\u6587\u662f\u5bf9\u8fd1\u671f<\/span>arX<\/span>iv<\/span>\u8bba\u6587\u7684<\/span>\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002<\/span><\/section>\n

<\/section>\n
\u6838\u5fc3\u901f\u9012<\/span><\/section>\n

<\/span><\/section>\n
    \n
  • \n

    \u56e0\u679c\u53d1\u73b0\u7684\u65b0\u6846\u67b6\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    Dif-MAML: \u5206\u6563\u591a\u4e3b\u4f53\u5143\u5b66\u4e60\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u9762\u5411\u672a\u77e5\u73af\u5883\u6620\u5c04\u7684\u5f02\u6784\u591a\u4e3b\u4f53\u5f3a\u5316\u5b66\u4e60\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u5b66\u4e60\u540c\u6b65\uff0c\u5b66\u4e60\u540c\u6b65\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u901a\u8fc7\u8fd1\u975e\u8026\u5408\u968f\u673a\u6e38\u52a8\u63d0\u9ad8\u57fa\u4e8e\u9879\u76ee\u7684\u534f\u540c\u8fc7\u6ee4\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u6709\u5411\u56fe\u7f51\u7edc\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u57fa\u4e8e\u79bb\u6563\u5316\u7684\u8fde\u7eed\u56fe\u8868\u793a\u5b66\u4e60\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u57fa\u4e8e\u6d41\u5a92\u4f53\u76f4\u64ad\u7684\u5927\u89c4\u6a21\u6df7\u5408\u65b9\u6cd5\u5206\u6790\u65b0\u51a0\u80ba\u708e\u5927\u6d41\u884c\u671f\u95f4\u4e2d\u56fd\u9ad8\u6821\u7684\u8fdc\u7a0b\u6559\u80b2\u7ecf\u9a8c\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u65b0\u51a0\u80ba\u708e: \u77ed\u671f\u8bbf\u95ee\u9ad8\u98ce\u9669\u5730\u533a\u540e\u7684\u68c0\u75ab\u671f\u9650\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u9ad8\u4fdd\u771f\u793e\u4f1a\u5b66\u4e60\u7684\u6f14\u53d8\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u65e0\u8bba\u662f\u5de6\u6d3e\u8fd8\u662f\u53f3\u6d3e\uff0c\u515a\u6d3e\u504f\u89c1\u90fd\u9884\u793a\u7740\u5bb9\u6613\u53d7\u5230\u9519\u8bef\u4fe1\u606f\u7684\u4f24\u5bb3\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u65b0\u51a0\u80ba\u708e\u5927\u6d41\u884c\u4e2d\u56fd\u5927\u9646\u7a7a\u95f4\u6269\u6563\u6a21\u5f0f\u7684\u591a\u91cd\u5206\u5f62\u5c3a\u5ea6\u5206\u6790\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    Panhandlers \u5728\u591a\u5c42\u79cd\u7fa4\u4e2d\u7684\u6f14\u5316\uff1b<\/span><\/h2>\n<\/li>\n<\/ul>\n


    <\/p>\n

    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56e0\u679c\u53d1\u73b0\u7684\u65b0\u6846\u67b6<\/strong><\/span><\/strong><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span>
    <\/h2>\n

    A new Framework for Causal Discovery<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=eadf809a-0861-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Peter Jan van Leeuwen,Michael DeCaria,Nachiketa Chakaborty,Manuel Pulido<\/span><\/p>\n


    <\/p>\n

    \u6458<\/span><\/strong>\u8981<\/span>\uff1a<\/span><\/strong>\u5728\u590d\u6742\u975e\u7ebf\u6027\u7cfb\u7edf\u4e2d\uff0c\u63a8\u5bfc\u56e0\u679c\u5173\u7cfb\u7684\u7406\u8bba\u6846\u67b6\u5f88\u591a\uff0c\u4f46\u7f3a\u4e4f\u5b8c\u6574\u7684\u7406\u8bba\u4f53\u7cfb\u3002\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u6846\u67b6\uff0c\u5b83\u662f\u5b8c\u5168\u975e\u7ebf\u6027\u7684\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5b8c\u6574\u7684\u4fe1\u606f\u7406\u8bba\u89e3\u7ea0\u7f20\u7684\u56e0\u679c\u8fc7\u7a0b\uff0c\u5141\u8bb8\u539f\u56e0\u4e4b\u95f4\u7684\u975e\u7ebf\u6027\u76f8\u4e92\u4f5c\u7528\uff0c\u8bc6\u522b\u7f3a\u5931\u6216\u672a\u77e5\u8fc7\u7a0b\u7684\u56e0\u679c\u5f3a\u5ea6\uff0c\u5e76\u53ef\u4ee5\u5206\u6790\u7cfb\u7edf\u4e0d\u80fd\u8868\u793a\u5728\u6807\u51c6\u56fe\u3002\u57fa\u672c\u7684\u6784\u5efa\u6a21\u5757\u662f\u4fe1\u606f\u8bba\u5ea6\u91cf\uff0c\u5982(\u6761\u4ef6)\u4e92\u4fe1\u606f\u548c\u4e00\u4e2a\u65b0\u7684\u6982\u5ff5\u6240\u8c13\u7684\u786e\u5b9a\u6027\uff0c\u5355\u8c03\u589e\u52a0\u7684\u4fe1\u606f\uff0c\u6211\u4eec\u6709\u4e00\u4e2a\u76ee\u6807\u8fdb\u7a0b\u3002\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u65b0\u6846\u67b6\uff0c\u5e76\u4e0e\u73b0\u6709\u6846\u67b6\u8fdb\u884c\u4e86\u6bd4\u8f83\uff0c\u8ba8\u8bba\u4e86\u6df7\u6742\u56e0\u7d20\u7684\u5904\u7406\u65b9\u6cd5\u3002\u5728\u51e0\u4e2a\u9ad8\u5ea6\u7b80\u5316\u7684\u968f\u673a\u8fc7\u7a0b\u4e0a\u8fdb\u884c\u4e86\u6d4b\u8bd5\uff0c\u4ee5\u6f14\u793a\u5982\u4f55\u5904\u7406\u963b\u585e\u548c\u7f51\u5173\uff0c\u5e76\u5728\u6df7\u6c8c\u6d1b\u4f26\u51791963\u7cfb\u7edf\u4e0a\u8fdb\u884c\u4e86\u6d4b\u8bd5\u3002\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u6846\u67b6\u63d0\u4f9b\u4e86\u5c40\u90e8\u52a8\u529b\u5b66\u7684\u4fe1\u606f\uff0c\u4f46\u4e5f\u63ed\u793a\u4e86\u6f5c\u5728\u5438\u5f15\u5b50\u7684\u5927\u5c3a\u5ea6\u7ed3\u6784\u7684\u4fe1\u606f\u3002\u867d\u7136\u6846\u67b6\u4e0d\u80fd\u533a\u5206\u5177\u6709\u7ed3\u6784\u7684\u7cfb\u7edf\uff0c\u4f46\u6709\u4eba\u8ba4\u4e3a\uff0c\u4efb\u4f55\u57fa\u4e8e\u7efc\u5408\u91cf\u7684\u56e0\u679c\u6846\u67b6\u90fd\u4f1a\u9057\u6f0f\u6f5c\u5728\u7684\u91cd\u8981\u4fe1\u606f\uff0c\u5373\u6f5c\u5728\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    Dif-MAML: \u5206\u6563\u591a\u4e3b\u4f53\u5143\u5b66\u4e60<\/strong><\/span><\/strong><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span>
    <\/h2>\n

    Dif-MAML: Decentralized Multi-Agent Meta-Learning<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=88321a86-0864-11eb-bf2a-0242ac1a000c
    <\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Mert Kayaalp,Stefan Vlaski,Ali H. Sayed<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5143\u5b66\u4e60\u7684\u76ee\u6807\u662f\u5229\u7528\u4ece\u89c2\u5bdf\u5230\u7684\u4efb\u52a1\u4e2d\u83b7\u5f97\u7684\u77e5\u8bc6\u6765\u63d0\u9ad8\u5bf9\u770b\u4e0d\u89c1\u7684\u4efb\u52a1\u7684\u9002\u5e94\u80fd\u529b\u3002\u56e0\u6b64\uff0c\u5143\u5b66\u4e60\u8005\u5728\u63a5\u53d7\u5927\u91cf\u89c2\u5bdf\u5230\u7684\u4efb\u52a1\u548c\u6bcf\u4e2a\u4efb\u52a1\u6709\u5927\u91cf\u6570\u636e\u7684\u8bad\u7ec3\u65f6\uff0c\u80fd\u591f\u66f4\u597d\u5730\u8fdb\u884c\u6982\u62ec\u3002\u8003\u8651\u5230\u6240\u9700\u7684\u8d44\u6e90\u6570\u91cf\uff0c\u901a\u5e38\u5f88\u96be\u671f\u671b\u4efb\u52a1\u3001\u5b83\u4eec\u5404\u81ea\u7684\u6570\u636e\u4ee5\u53ca\u5fc5\u8981\u7684\u8ba1\u7b97\u80fd\u529b\u5728\u5355\u4e00\u7684\u4e2d\u5fc3\u4f4d\u7f6e\u4e0a\u53ef\u7528\u3002\u66f4\u81ea\u7136\u7684\u60c5\u51b5\u662f\uff0c\u8fd9\u4e9b\u8d44\u6e90\u5206\u5e03\u5728\u901a\u8fc7\u67d0\u4e2a\u56fe\u5f62\u62d3\u6251\u8fde\u63a5\u7684\u591a\u4e2a\u4ee3\u7406\u4e2d\u3002\u5143\u5b66\u4e60\u7684\u5f62\u5f0f\u4e3b\u4e49\u5b9e\u9645\u4e0a\u975e\u5e38\u9002\u5408\u8fd9\u79cd\u5206\u6563\u5316\u7684\u8bbe\u7f6e\uff0c\u5728\u8fd9\u79cd\u8bbe\u7f6e\u4e0b\uff0c\u5b66\u4e60\u8005\u5c06\u80fd\u591f\u53d7\u76ca\u4e8e\u8de8\u4ee3\u7406\u7684\u4fe1\u606f\u548c\u8ba1\u7b97\u80fd\u529b\u3002\u57fa\u4e8e\u8fd9\u79cd\u89c2\u5bdf\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u534f\u4f5c\u5f0f\u7684\u5168\u5206\u6563\u591a\u667a\u80fd\u4f53\u5143\u5b66\u4e60\u7b97\u6cd5\uff0c\u79f0\u4e3a\u57fa\u4e8e\u6269\u6563\u7684 MAML \u6216 dif-MAML\u3002\u5206\u6563\u4f18\u5316\u7b97\u6cd5\u5728\u53ef\u6269\u5c55\u6027\u3001\u907f\u514d\u901a\u4fe1\u74f6\u9888\u3001\u4fdd\u8bc1\u9690\u79c1\u7b49\u65b9\u9762\u4f18\u4e8e\u96c6\u4e2d\u4f18\u5316\u7b97\u6cd5\u3002\u8fd9\u9879\u5de5\u4f5c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u8be6\u7ec6\u7684\u7406\u8bba\u5206\u6790\uff0c\u8868\u660e\u6240\u63d0\u51fa\u7684\u7b56\u7565\u5141\u8bb8\u4e00\u4e2a\u4ee3\u7406\u7684\u96c6\u5408\u8fbe\u5230\u4e00\u4e2a\u7ebf\u6027\u901f\u7387\u7684\u534f\u8bae\uff0c\u5e76\u6536\u655b\u5230\u805a\u5408 MAML \u76ee\u6807\u7684\u4e00\u4e2a\u9a7b\u70b9\uff0c\u5373\u4f7f\u5728\u975e\u51f8\u7684\u73af\u5883\u3002\u4eff\u771f\u7ed3\u679c\u9a8c\u8bc1\u4e86\u7406\u8bba\u5206\u6790\u7684\u6b63\u786e\u6027\uff0c\u5e76\u4e14\u8868\u73b0\u51fa\u76f8\u5bf9\u4e8e\u4f20\u7edf\u975e\u5408\u4f5c\u73af\u5883\u7684\u4f18\u8d8a\u6027\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u9762\u5411\u672a\u77e5\u73af\u5883\u6620\u5c04\u7684<\/strong><\/span><\/p>\n

    \u5f02\u6784\u591a\u4e3b\u4f53\u5f3a\u5316\u5b66\u4e60<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=833d2714-0864-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Ceyer Wakilpoor,Patrick J. Martin,Carrie Rebhuhn,Amanda Vu<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5f02\u6784\u591a\u4ee3\u7406\u573a\u666f\u4e2d\u7684\u5f3a\u5316\u5b66\u4e60\u5bf9\u4e8e\u771f\u5b9e\u4e16\u754c\u7684\u5e94\u7528\u7a0b\u5e8f\u975e\u5e38\u91cd\u8981\uff0c\u4f46\u662f\u5b83\u6240\u5e26\u6765\u7684\u6311\u6218\u8d85\u51fa\u4e86\u540c\u6784\u8bbe\u7f6e\u548c\u7b80\u5355\u57fa\u51c6\u6d4b\u8bd5\u6240\u80fd\u770b\u5230\u7684\u8303\u56f4\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u53c2\u4e0e\u8005-\u8bc4\u8bba\u7b97\u6cd5\uff0c\u5141\u8bb8\u4e00\u7ec4\u5f02\u6784\u4ee3\u7406\u5b66\u4e60\u5206\u6563\u63a7\u5236\u7b56\u7565\uff0c\u4ee5\u8986\u76d6\u672a\u77e5\u73af\u5883\u3002\u8fd9\u9879\u4efb\u52a1\u5bf9\u56fd\u5bb6\u5b89\u5168\u548c\u5e94\u6025\u53cd\u5e94\u7ec4\u7ec7\u5f88\u6709\u610f\u4e49\uff0c\u8fd9\u4e9b\u7ec4\u7ec7\u5e0c\u671b\u901a\u8fc7\u90e8\u7f72\u65e0\u4eba\u9a7e\u9a76\u98de\u884c\u5668\u5c0f\u7ec4\u6765\u52a0\u5f3a\u5371\u9669\u5730\u533a\u7684\u60c5\u52bf\u5bdf\u89c9\u5b89\u5168\u3002\u4e3a\u4e86\u89e3\u51b3\u672a\u77e5\u73af\u5883\u4e0b\u7684\u591a\u667a\u80fd\u4f53\u8986\u76d6\u8def\u5f84\u89c4\u5212\u95ee\u9898\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u72b6\u6001\u7f16\u7801\u7ed3\u6784\u548c\u4e09\u91cd\u5b66\u4e60\u635f\u5931\u7ed3\u6784\uff0c\u4ee5\u652f\u6301\u5f02\u6784\u667a\u80fd\u4f53\u5b66\u4e60\u3002\u63d0\u51fa\u4e86\u4e00\u79cd\u5305\u542b\u6e4d\u6d41\u3001\u5ef6\u8fdf\u901a\u4fe1\u548c\u4ee3\u7406\u4e22\u5931\u7b49\u5b9e\u9645\u73af\u5883\u56e0\u7d20\u7684\u4eff\u771f\u73af\u5883\uff0c\u4ee5\u8bad\u7ec3\u4ee3\u7406\u56e2\u961f\uff0c\u5e76\u63a2\u8ba8\u5176\u5bf9\u8fd9\u4e9b\u5e72\u6270\u7684\u9c81\u68d2\u6027\u548c\u7075\u6d3b\u6027\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5b66\u4e60\u540c\u6b65\uff0c\u5b66\u4e60\u540c\u6b65<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Learn to Synchronize, Synchronize to Learn<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=ee239f34-0861-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Pietro Verzelli,Cesare Alippi,Lorenzo Livi<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u8fd1\u5e74\u6765\uff0c\u673a\u5668\u5b66\u4e60\u9886\u57df\u5bf9\u4e8e\u7814\u7a76\u8bad\u7ec3\u8fc7\u7a0b\u548c\u5b8c\u5584\u6a21\u578b\u7684\u52a8\u529b\u5b66\u65b9\u9762\u7684\u7814\u7a76\u5174\u8da3\u4e0d\u65ad\u589e\u957f\u3002\u7279\u522b\u611f\u5174\u8da3\u7684\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\uff0c\u6211\u4eec\u6709\u6c34\u5e93\u8ba1\u7b97(RC)\u8303\u5f0f\u7684\u6982\u5ff5\u7b80\u5355\u548c\u5feb\u901f\u7684\u8bad\u7ec3\u65b9\u6848\u3002\u7136\u800c\uff0c\u6211\u4eec\u5bf9\u9a7b\u5730\u534f\u8c03\u5458\u7684\u6307\u5bfc\u539f\u5219\u53ea\u6709\u90e8\u5206\u4e86\u89e3\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u5177\u6709 RC \u7684\u5b66\u4e60\u52a8\u6001\u7cfb\u7edf\u80cc\u540e\u7684\u6027\u8d28\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u5e7f\u4e49\u540c\u6b65(GS)\u7684\u65b0\u7684\u6307\u5bfc\u539f\u5219\uff0c\u7ed9\u51fa\u4e86\u5b83\u7684\u53ef\u884c\u6027\u3002\u6211\u4eec\u8bc1\u660e\u4e86\u4f17\u6240\u5468\u77e5\u7684\u56de\u6ce2\u72b6\u6001\u7279\u6027(ESP)\u9690\u542b\u5e76\u88ab GS \u9690\u542b\uff0c\u56e0\u6b64\u5f53 GS \u9690\u542b\u65f6\uff0c\u7531 ESP \u5f97\u5230\u7684\u7406\u8bba\u7ed3\u679c\u4ecd\u7136\u6210\u7acb\u3002\u7136\u800c\uff0c\u901a\u8fc7\u5c06\u6cb9\u85cf\u52a8\u529b\u5b66\u4e0e\u8bfb\u51fa\u8bad\u7ec3\u76f8\u7ed3\u5408\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u7814\u7a76 RC \u5b66\u4e60\u8fc7\u7a0b\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u8fd9\u4f7f\u6211\u4eec\u80fd\u591f\u6e05\u695a\u5730\u4e86\u89e3\u50a8\u5b58\u5668\u6267\u884c\u7684\u8f93\u5165\u7f16\u7801\u548c\u4e3a\u624b\u5934\u4efb\u52a1\u4f18\u5316\u7684\u8bfb\u51fa\u6240\u4ea7\u751f\u7684\u8f93\u51fa\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u6307\u51fa\uff0c\u4e0e ESP \u76f8\u53cd\uff0cGS \u7684\u6ee1\u610f\u5ea6\u53ef\u4ee5\u901a\u8fc7\u76f8\u4e92\u9519\u8bef\u7684\u6700\u8fd1\u90bb\u6307\u6570\u6765\u8861\u91cf\uff0c\u8fd9\u5bf9\u4ece\u4e1a\u8005\u7684\u7406\u8bba\u63a8\u5bfc\u662f\u6709\u6548\u7684\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u8fd1\u975e\u8026\u5408\u968f\u673a\u6e38\u52a8<\/strong><\/span><\/p>\n

    \u63d0\u9ad8\u57fa\u4e8e\u9879\u76ee\u7684\u534f\u540c\u8fc7\u6ee4<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=59a04c78-0856-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Athanasios N. Nikolakopoulos,George Karypis<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u57fa\u4e8e\u9879\u76ee\u7684\u6a21\u578b\u662f\u6700\u6d41\u884c\u7684\u534f\u540c\u8fc7\u6ee4\u63a8\u8350\u7cfb\u7edf\u7684\u5efa\u7acb\u65b9\u6cd5\u4e4b\u4e00\u3002\u968f\u673a\u6f2b\u6b65\u53ef\u4ee5\u63d0\u4f9b\u4e00\u4e2a\u5f3a\u6709\u529b\u7684\u5de5\u5177\u6765\u83b7\u53d6\u8fd9\u4e9b\u6a21\u578b\u4e2d\u6355\u83b7\u7684\u4e30\u5bcc\u7684\u4ea4\u4e92\u7f51\u7edc\u3002\u5b83\u4eec\u53ef\u4ee5\u5229\u7528\u9879\u76ee\u4e4b\u95f4\u7684\u95f4\u63a5\u5173\u7cfb\uff0c\u51cf\u8f7b\u7a00\u758f\u6027\u7684\u5f71\u54cd\uff0c\u786e\u4fdd\u66f4\u5e7f\u6cdb\u7684\u9879\u76ee\u7a7a\u95f4\u8986\u76d6\uff0c\u5e76\u589e\u52a0\u63a8\u8350\u5217\u8868\u7684\u591a\u6837\u6027\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u5206\u5e03\u7684\u6f5c\u529b\u53ef\u80fd\u4f1a\u53d7\u5230\u963b\u788d\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u5206\u5e03\u5f80\u5f80\u4f1a\u8fc5\u901f\u96c6\u4e2d\u5230\u56fe\u8868\u7684\u4e2d\u5fc3\u8282\u70b9\uff0c\u4ece\u800c\u5927\u5927\u9650\u5236\u4e86\u53ef\u7528\u4e8e\u4e2a\u6027\u5316\u5efa\u8bae\u7684 k \u6b65\u5206\u5e03\u7684\u8303\u56f4\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86 RecWalk\uff0c\u4e00\u79cd\u65b0\u9896\u7684\u57fa\u4e8e\u968f\u673a\u6f2b\u6b65\u7684\u65b9\u6cd5\uff0c\u5229\u7528\u51e0\u4e4e\u6ca1\u6709\u8026\u5408\u7684\u9a6c\u5c14\u53ef\u592b\u94fe\u7684\u9891\u8c31\u7279\u6027\uff0c\u53ef\u4ee5\u8bc1\u660e\u89e3\u9664\u4e86\u8fd9\u4e2a\u9650\u5236\uff0c\u5ef6\u957f\u4e86\u7528\u6237\u8fc7\u53bb\u7684\u504f\u597d\u5bf9\u6f2b\u6b65\u8fde\u7eed\u6b65\u9aa4\u7684\u5f71\u54cd\uff0c\u4f7f\u6f2b\u6b65\u8005\u80fd\u591f\u66f4\u6709\u6210\u6548\u5730\u63a2\u7d22\u5e95\u5c42\u7684\u7f51\u7edc\u3002\u4e00\u7ec4\u5173\u4e8e\u771f\u5b9e\u4e16\u754c\u6570\u636e\u96c6\u7684\u5168\u9762\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u6240\u63d0\u51fa\u65b9\u6cd5\u7684\u7406\u8bba\u9884\u6d4b\u5c5e\u6027\uff0c\u5e76\u8868\u660e\u5b83\u4eec\u4e0e top-n \u63a8\u8350\u51c6\u786e\u6027\u7684\u663e\u8457\u6539\u8fdb\u76f4\u63a5\u76f8\u5173\u3002\u4ed6\u4eec\u8fd8\u5f3a\u8c03\u4e86 rewalk \u5728\u63d0\u4f9b\u4e00\u4e2a\u6846\u67b6\u4ee5\u63d0\u9ad8\u57fa\u4e8e\u9879\u76ee\u7684\u6a21\u578b\u6027\u80fd\u65b9\u9762\u7684\u6f5c\u529b\u3002Rewalk \u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u9876\u7ea7\u63a8\u8350\u8d28\u91cf\uff0c\u5176\u6027\u80fd\u4f18\u4e8e\u51e0\u79cd\u7ade\u4e89\u65b9\u6cd5\uff0c\u5305\u62ec\u6700\u8fd1\u63d0\u51fa\u7684\u4f9d\u8d56\u4e8e\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u6709\u5411\u56fe\u7f51\u7edc<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Directional Graph Networks<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong>
    <\/span><\/p>\n

    https:\/\/<\/span>pattern.swarma.org\/paper?id=55f5481c-0856-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Dominique Beaini,Saro Passaro,Vincent L\u00e9tourneau,William L. Hamilton,Gabriele Corso,Pietro Li\u00f2<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u4e3a\u4e86\u514b\u670d\u56fe\u5f62\u795e\u7ecf\u7f51\u7edc(GNNs)\u8868\u8fbe\u80fd\u529b\u7684\u5c40\u9650\u6027\uff0c\u63d0\u51fa\u4e86\u7b2c\u4e00\u79cd\u5229\u7528\u56fe\u5f62\u4e0a\u7684\u5411\u91cf\u6d41\u6765\u6784\u9020\u5168\u5c40\u4e00\u81f4\u7684\u65b9\u5411\u548c\u975e\u5bf9\u79f0\u805a\u5408\u51fd\u6570\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u8bc1\u660e\u4e86\u6211\u4eec\u7684\u6709\u5411\u56fe\u7f51\u7edc(DGNs)\u5728\u7f51\u683c\u4e0a\u7684\u5e94\u7528\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc(CNNs)\u7684\u4e00\u79cd\u63a8\u5e7f\u3002\u8fd1\u5e74\u6765\u7684\u7406\u8bba\u5de5\u4f5c\u4e3b\u8981\u96c6\u4e2d\u5728\u5bf9\u5c40\u90e8\u90bb\u57df\u3001\u5c40\u90e8\u7ed3\u6784\u548c\u5c40\u90e8\u540c\u6784\u7684\u7406\u89e3\u4e0a\uff0c\u800c\u6ca1\u6709\u5168\u5c40\u4fe1\u606f\u6d41\uff0c\u6211\u4eec\u7684\u65b0\u7406\u8bba\u6846\u67b6\u5141\u8bb8\u5728\u4efb\u4f55\u56fe\u4e2d\u4f7f\u7528\u6709\u5411\u5377\u79ef\u6838\u3002\u9996\u5148\uff0c\u901a\u8fc7\u5b9a\u4e49\u56fe\u4e2d\u7684\u5411\u91cf\u573a\uff0c\u6211\u4eec\u53d1\u5c55\u4e86\u4e00\u79cd\u5e94\u7528\u65b9\u5411\u5bfc\u6570\u548c\u5e73\u6ed1\u7684\u65b9\u6cd5\uff0c\u5373\u5c06\u8282\u70b9\u7279\u5b9a\u7684\u4fe1\u606f\u6295\u5f71\u5230\u5411\u91cf\u573a\u4e2d\u3002\u7136\u540e\u6211\u4eec\u63d0\u51fa\u5229\u7528\u62c9\u666e\u62c9\u65af\u7279\u5f81\u5411\u91cf\u4f5c\u4e3a\u5411\u91cf\u573a\uff0c\u5e76\u4e14\u6211\u4eec\u8bc1\u660e\u4e86\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u63a8\u5e7f\u5230 n \u7ef4\u7f51\u683c\u4e0a\u7684 cnn\u3002\u6700\u540e\uff0c\u6211\u4eec\u901a\u8fc7\u63d0\u4f9b\u4e00\u79cd\u5728\u5e95\u5c42\u65b9\u5411\u573a\u4e0a\u8fdb\u884c\u53cd\u5c04\u3001\u65cb\u8f6c\u548c\u5931\u771f\u7684\u65b9\u6cd5\uff0c\u7ed9\u56fe\u5f62\u5e26\u6765\u4e86 CNN \u6570\u636e\u589e\u5f3a\u7684\u5a01\u529b\u3002\u6211\u4eec\u8bc4\u4f30\u6211\u4eec\u7684\u65b9\u6cd5\u5bf9\u4e0d\u540c\u7684\u6807\u51c6\u57fa\u51c6\uff0c\u5e76\u770b\u5230\u76f8\u5bf9\u8bef\u5dee\u51cf\u5c118% \u7684 CIFAR10\u56fe\u6570\u636e\u96c6\u548c11% \u81f332% \u7684\u5206\u5b50\u950c\u6570\u636e\u96c6\u3002\u8fd9\u9879\u5de5\u4f5c\u7684\u4e00\u4e2a\u91cd\u8981\u6210\u679c\u662f\uff0c\u5b83\u80fd\u591f\u5c06\u4efb\u4f55\u5177\u6709\u56fa\u6709\u65b9\u5411\u8f74\u7684\u7269\u7406\u6216\u751f\u7269\u95ee\u9898\u8f6c\u5316\u4e3a\u5177\u6709\u5d4c\u5165\u5f0f\u65b9\u5411\u573a\u7684\u56fe\u5f62\u7f51\u7edc\u5f62\u5f0f\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u79bb\u6563\u5316\u7684\u8fde\u7eed\u56fe\u8868\u793a\u5b66\u4e60<\/strong><\/span><\/strong><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Disentangle-based Continual Graph Representation Learning<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong>
    <\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=4a0c0752-0856-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Xiaoyu Kou,Yankai Lin,Shaobo Liu,Peng Li,Jie Zhou,Yan Zhang<\/span><\/p>\n


    <\/p>\n

    \u6458<\/span><\/strong>\u8981<\/span>\uff1a<\/span><\/strong>\u56fe<\/span>\u7684\u5d4c\u5165\u65b9\u6cd5\u5c06\u56fe\u4e2d\u7684\u8282\u70b9(\u6216\u8fb9)\u5d4c\u5165\u5230\u4f4e\u7ef4\u8bed\u4e49\u7a7a\u95f4\u4e2d\uff0c\u5e76\u5728\u591a\u5173\u7cfb\u6570\u636e\u7684\u5efa\u6a21\u4e2d\u663e\u793a\u4e86\u5176\u6709\u6548\u6027\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684\u901a\u7528\u7535\u6c14\u6a21\u578b\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u5e76\u4e0d\u5b9e\u7528\uff0c\u56e0\u4e3a\u5b83\u5ffd\u7565\u4e86\u4f20\u5165\u6570\u636e\u7684\u6d41\u6027\u8d28\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u8fde\u7eed\u56fe\u8868\u793a\u5b66\u4e60\u7684\u95ee\u9898\uff0c\u5176\u76ee\u7684\u662f\u4e0d\u65ad\u8bad\u7ec3 GE \u6a21\u578b\u5bf9\u65b0\u6570\u636e\u5b66\u4e60\u4e0d\u65ad\u6d8c\u73b0\u7684\u591a\u5173\u7cfb\u6570\u636e\uff0c\u540c\u65f6\u907f\u514d\u707e\u96be\u6027\u5730\u9057\u5fd8\u65e7\u7684\u5b66\u4e60\u77e5\u8bc6\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u5206\u79bb\u7684\u8fde\u7eed\u56fe\u8868\u793a\u5b66\u4e60(DiCGRL)\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u53d7\u5230\u4eba\u7c7b\u5b66\u4e60\u8fc7\u7a0b\u6027\u77e5\u8bc6\u7684\u542f\u53d1\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cDiCGRL \u80fd\u591f\u6709\u6548\u5730\u7f13\u89e3\u707e\u96be\u6027\u9057\u5fd8\u95ee\u9898\uff0c\u4f18\u4e8e\u73b0\u6709\u7684\u8fde\u7eed\u5b66\u4e60\u6a21\u578b\u3002\u8fd9\u4e9b\u4ee3\u7801\u548c\u6570\u636e\u96c6\u5728 https:\/\/github.com\/kxy-public\/dicgrl \u4e0a\u53d1\u5e03\u3002<\/span><\/p>\n

    <\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u6d41\u5a92\u4f53\u76f4\u64ad\u7684\u5927\u89c4\u6a21<\/strong><\/span><\/p>\n

    \u6df7\u5408\u65b9\u6cd5\u5206\u6790\u65b0\u51a0\u80ba\u708e\u5927\u6d41\u884c\u671f\u95f4<\/strong><\/span><\/p>\n

    \u4e2d\u56fd\u9ad8\u6821\u7684\u8fdc\u7a0b\u6559\u80b2\u7ecf\u9a8c<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong>
    <\/span><\/p>\n

    https:\/\/pattern.swarma.org\/paper?id=3f37708c-0856-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005<\/span><\/strong>\uff1a<\/span><\/strong><\/span><\/p>\n

    Zhilong Chen,Hancheng Cao,Yuting Deng,Xuan Gao,Jinghua Piao,Fengli Xu,Yu Zhang,Yong Li<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u536b\u751f\u7ec4\u7ec7\u7684\u5168\u7403\u6d41\u884c\u75c5\u548c\u7531\u6b64\u5bfc\u81f4\u7684\u5c01\u9501\u653f\u7b56\u8feb\u4f7f\u51e0\u4e4e\u6bcf\u4e2a\u56fd\u5bb6\u7684\u6b63\u89c4\u6559\u80b2\u4ece\u4f20\u7edf\u7684\u540c\u5730\u529e\u516c\u6a21\u5f0f\u8f6c\u53d8\u4e3a\u7eaf\u7cb9\u7684\u5728\u7ebf\u201c\u8fdc\u7a0b\u5bb6\u5ead\u5b66\u4e60\u201d\u6a21\u5f0f\u3002\u8fd9\u79cd\u5b66\u4e60\u8303\u5f0f\u8f6c\u53d8\u7684\u6838\u5fc3\u662f\u8fdc\u7a0b\u901a\u4fe1\u5de5\u5177\u7684\u51fa\u73b0\u548c\u5e7f\u6cdb\u91c7\u7528\u4ee5\u53ca\u6559\u80b2\u4e2d\u7684\u76f4\u64ad\u3002\u5728\u6d41\u611f\u5927\u6d41\u884c\u671f\u95f4\uff0c\u8fd9\u79cd\u57fa\u4e8e\u76f4\u64ad\u7684\u6559\u80b2\u6a21\u5f0f\u5982\u4f55\u652f\u6301\u5b66\u751f\u5728\u5bb6\u5b66\u4e60\uff1f\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u901a\u8fc7\u6df7\u5408\u7684\u65b9\u6cd5\u4ecb\u7ecd\u4e86\u7b2c\u4e00\u4e2a\u5173\u4e8e2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u6d41\u884c\u671f\u95f4\u57fa\u4e8e\u76f4\u64ad\u7684\u6559\u80b2(LS \u5b66\u4e60)\u7ecf\u9a8c\u7684\u7814\u7a76\u3002\u672c\u6587\u4ee5\u6211\u56fd\u9ad8\u7b49\u6559\u80b2\u4e3a\u7814\u7a76\u5bf9\u8c61\uff0c\u5bf930\u540d\u5b66\u751f\u548c7\u540d\u6765\u81ea\u4e0d\u540c\u9662\u6821\u548c\u5b66\u79d1\u7684\u6559\u5e08\u8fdb\u884c\u4e86\u534a\u7ed3\u6784\u5f0f\u8bbf\u8c08\uff0c\u540c\u65f6\u5bf9\u6211\u56fd\u4e00\u6240\u91cd\u70b9\u5927\u5b66\u76846291\u540d\u5b66\u751f\u548c1160\u540d\u6559\u5e08\u8fdb\u884c\u4e86\u5927\u89c4\u6a21\u8c03\u67e5\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u57fa\u4e8e\u76f4\u64ad\u7684\u6559\u80b2\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u6709\u52a9\u4e8e\u5b66\u751f\u548c\u6559\u5e08\u5b9e\u73b0\u4ed6\u4eec\u7684\u6559\u80b2\u76ee\u6807\uff0c\u4f46\u76ee\u524d\u7684\u6559\u80b2\u6a21\u5f0f\u8fd8\u5b58\u5728\u4e00\u4e9b\u5173\u952e\u6027\u7684\u6311\u6218\u5c1a\u672a\u89e3\u51b3\u3002\u6211\u4eec\u8fdb\u4e00\u6b65\u8bba\u8bc1\u4e86\u51e0\u79cd\u65b0\u9896\u7684\u5b66\u4e60\u7ecf\u9a8c\u548c\u4ea4\u4e92\u6a21\u5f0f\u7684\u51fa\u73b0\uff0c\u8fd9\u4e9b\u7ecf\u9a8c\u548c\u6a21\u5f0f\u5bfc\u81f4\u4e86\u5bfc\u5e08-\u5b66\u751f\u5173\u7cfb\u548c\u5b66\u751f-\u5b66\u751f\u5173\u7cfb\u7684\u53d8\u5316\u3002\u6211\u4eec\u7684\u5de5\u4f5c\u4e0d\u4ec5\u63ed\u793a\u4e86\u91cd\u8981\u7684\u8bbe\u8ba1\u51c6\u5219\u548c\u89c1\u89e3\uff0c\u4ee5\u66f4\u597d\u5730\u652f\u6301\u76ee\u524d\u7684\u8fdc\u7a0b\u5b66\u4e60\u7ecf\u9a8c\u5728\u5927\u6d41\u884c\u671f\u95f4\uff0c\u800c\u4e14\u8fd8\u63d0\u4f9b\u4e86\u5b9d\u8d35\u7684\u542f\u793a\uff0c\u5efa\u8bbe\u672a\u6765\u7684\u534f\u4f5c\u6559\u80b2\u652f\u6301\u7cfb\u7edf\u548c\u7ecf\u9a8c\u540e\u5927\u6d41\u884c\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u65b0\u51a0\u80ba\u708e:<\/strong><\/span><\/p>\n

    \u77ed\u671f\u8bbf\u95ee\u9ad8\u98ce\u9669\u5730\u533a\u540e\u7684\u68c0\u75ab\u671f\u9650<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    COVID-19: On the quarantine duration after short visits to high-risk regions\u5730\u5730\u5740\uff1a<\/strong><\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=87f9f7f6-0854-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Evangelos Matsinos<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u5c06\u63d0\u51fa\u4e00\u79cd\u7b80\u5355\u7684\u8499\u7279\u5361\u7f57\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u53d6\u68c0\u75ab\u671f\u7684\u4f30\u8ba1\u503c\uff0c\u9002\u7528\u4e8e\u9ad8\u98ce\u9669\u5730\u533a\u7684\u6e38\u5ba2\u3002\u5c06\u6839\u636e\u5bf9\u65c5\u5ba2\u79bb\u5f00\u611f\u67d3\u5730\u70b9\u81f3\u76ee\u524d\u53ef\u80fd\u53d1\u73b0\u611f\u67d3\u7d2f\u79ef\u5206\u5e03\u51fd\u6570\u7684\u65f6\u95f4\u8de8\u5ea6\u7684\u4e0a\u5c3e\u90e8\u5206\u6790\uff0c\u5f97\u51fa\u7ed3\u679c\u3002\u6b63\u5982\u9884\u671f\u7684\u90a3\u6837\uff0c\u68c0\u75ab\u6301\u7eed\u65f6\u95f4\u662f\u53d7\u611f\u67d3\u65c5\u5ba2\u6bd4\u4f8b\u7684\u9012\u51cf\u51fd\u6570\uff0c\u4eba\u4eec\u51c6\u5907\u5c06\u5176\u786e\u5b9a\u4e3a\u201c\u53ef\u63a5\u53d7\u7684\u98ce\u9669\u201d\u3002\u5206\u6790\u8868\u660e\uff0c\u6700\u59275% \u7684\u98ce\u9669(\u6765\u81ea\u4e8e\u68c0\u75ab\u89e3\u9664\u540e\u53d8\u5f97\u5177\u6709\u611f\u67d3\u6027\u7684\u4eba\u7fa4\u7684\u65b0\u611f\u67d3)\u53ef\u80fd\u4e0e\u6700\u5c0f\u68c0\u75ab\u65f6\u95f4\u7ea68\u5929\u3001\u7ea6\u5341\u4e8c\u5929\u548c\u7ea6\u5341\u516d\u5929\u6709\u5173\u3002\u9664\u975e\u77ed\u9014(\u901a\u5e38\u6700\u591a\u4e09\u5468)\u65c5\u884c\u65f6\u95f4\u7684\u5206\u5e03\u60c5\u51b5\u4e0e\u672c\u7814\u7a76\u6240\u5047\u5b9a\u7684\u5f62\u72b6\u5927\u4e0d\u76f8\u540c\uff0c\u5426\u5219\u672c\u5206\u6790\u7ed3\u679c\u4e0d\u80fd\u652f\u6301\u5c06\u68c0\u75ab\u65f6\u95f4\u7f29\u77ed\u7ea610\u5929\u81f3\u4e24\u5468\u7684\u8ba1\u5212\uff0c\u76ee\u524d\u8fd9\u79cd\u8ba1\u5212\u9002\u7528\u4e8e\u4ece\u9ad8\u611f\u67d3\u98ce\u9669\u533a\u57df\u8fdb\u5165\u5927\u591a\u6570\u6b27\u6d32\u56fd\u5bb6\u7684\u65c5\u884c\u8005\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
    \n
    <\/p>\n

    \u9ad8\u4fdd\u771f\u793e\u4f1a\u5b66\u4e60\u7684\u6f14\u53d8<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    The evolution of high-fidelity social learning<\/span><\/h2>\n

    \u5730\u5740\uff1a
    <\/span><\/strong><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=8606c334-0854-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Marcel Montrey,Thomas R. Shultz<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u4eba\u7c7b\u6587\u5316\u7684\u4e00\u4e2a\u62e5\u6709\u5c5e\u6027\u5c31\u662f\u77e5\u8bc6\u548c\u6280\u672f\u4f1a\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u4e0d\u65ad\u6539\u8fdb\u3002\u8fd9\u79cd\u7d2f\u79ef\u7684\u6587\u5316\u8fdb\u5316(CCE)\u53ef\u80fd\u66f4\u591a\u5730\u53d6\u51b3\u4e8e\u4fe1\u606f\u4fdd\u5b58\u7684\u53ef\u9760\u7a0b\u5ea6\uff0c\u800c\u4e0d\u662f\u4fe1\u606f\u63d0\u70bc\u7684\u6548\u7387\u3002\u56e0\u6b64\uff0cCCE \u5728\u5176\u4ed6\u7269\u79cd\u4e2d\u4f3c\u4e4e\u51cf\u5c11\u6216\u7f3a\u5931\u7684\u4e00\u4e2a\u53ef\u80fd\u7684\u539f\u56e0\u662f\uff0c\u5b83\u9700\u8981\u51c6\u786e\u800c\u4e13\u95e8\u7684\u793e\u4f1a\u5b66\u4e60\u5f62\u5f0f\uff0c\u800c\u4eba\u7c7b\u662f\u552f\u4e00\u719f\u7ec3\u7684\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u8d1d\u53f6\u65af\u6a21\u578b\u6765\u5bf9\u6bd4\u652f\u6301 CCE \u7684\u9ad8\u4fdd\u771f\u793e\u4f1a\u5b66\u4e60\u548c\u4e0d\u652f\u6301 CCE \u7684\u4f4e\u4fdd\u771f\u793e\u4f1a\u5b66\u4e60\u7684\u6f14\u53d8\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5f53(1)\u793e\u4f1a\u548c(2)\u4e2a\u4eba\u5b66\u4e60\u6210\u672c\u4f4e\u5ec9\uff0c(3)\u7279\u5f81\u590d\u6742\uff0c(4)\u4e2a\u4eba\u5b66\u4e60\u4e30\u5bcc\uff0c(5)\u9002\u5e94\u6027\u95ee\u9898\u56f0\u96be\uff0c(6)\u884c\u4e3a\u7075\u6d3b\u65f6\uff0c\u9ad8\u4fdd\u771f\u4f20\u9012\u5c31\u4f1a\u8fdb\u5316\u3002\u4f4e\u4fdd\u771f\u4f20\u8f93\u5728\u8bb8\u591a\u65b9\u9762\u6709\u6240\u4e0d\u540c\u3002\u5b83\u4e0d\u4ec5\u5728(2)\u4e2a\u4f53\u5b66\u4e60\u6210\u672c\u9ad8\u6602\u548c(4)\u4e0d\u5e38\u89c1\u7684\u60c5\u51b5\u4e0b\u8fdb\u5316\uff0c\u800c\u4e14\u5728(3)\u7279\u5f81\u7b80\u5355\u548c(5)\u9002\u5e94\u6027\u95ee\u9898\u5bb9\u6613\u7684\u60c5\u51b5\u4e0b\u8fdb\u5316\u5f97\u66f4\u52a0\u5065\u58ee\u3002\u5982\u679c\u6709\u5229\u4e8e\u9ad8\u4fdd\u771f\u5ea6\u4f20\u9012\u8fdb\u5316\u7684\u6761\u4ef6\u66f4\u4e25\u683c(3\u548c5)\u6216\u66f4\u96be\u6ee1\u8db3(2\u548c4) \uff0c\u8fd9\u53ef\u4ee5\u89e3\u91ca\u4e3a\u4ec0\u4e48\u793e\u4f1a\u5b66\u4e60\u662f\u666e\u904d\u7684\uff0c\u4f46 CCE \u662f\u7f55\u89c1\u7684\u3002<\/span><\/p>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u65e0\u8bba\u662f\u5de6\u6d3e\u8fd8\u662f\u53f3\u6d3e\uff0c<\/strong><\/span><\/p>\n

    \u515a\u6d3e\u504f\u89c1\u90fd\u9884\u793a\u7740<\/strong><\/span><\/p>\n

    \u5bb9\u6613\u53d7\u5230\u9519\u8bef\u4fe1\u606f\u7684\u4f24\u5bb3<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Right and left, partisanship predicts vulnerability to misinformation<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=3553861e-0856-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Dimitar Nikolov,Alessandro Flammini,Filippo Menczer<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981<\/span><\/strong>\uff1a<\/span><\/strong>\u6211\u4eec\u901a\u8fc7\u7814\u7a76 Twitter \u4e0a\u7684\u65b0\u95fb\u5206\u4eab\u884c\u4e3a\uff0c\u5206\u6790\u4e86\u515a\u6d3e\u6027\u3001\u56de\u97f3\u5ba4\u548c\u5bf9\u7f51\u7edc\u9519\u8bef\u4fe1\u606f\u7684\u8106\u5f31\u6027\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u867d\u7136\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8bc1\u5b9e\u4e86\u5148\u524d\u7684\u53d1\u73b0\uff0c\u5373\u5728\u7ebf\u865a\u5047\u4fe1\u606f\u5171\u4eab\u4e0e\u53f3\u503e\u7684\u515a\u6d3e\u504f\u89c1\u5bc6\u5207\u76f8\u5173\uff0c\u4f46\u6211\u4eec\u4e5f\u53d1\u73b0\uff0c\u5728\u5de6\u503e\u7528\u6237\u4e2d\u4e5f\u5b58\u5728\u7c7b\u4f3c\u7684\u8d8b\u52bf\uff0c\u5c3d\u7ba1\u8fd9\u79cd\u8d8b\u52bf\u8f83\u5f31\u3002\u7531\u4e8e\u4f7f\u7528\u8005\u7684\u515a\u6d3e\u504f\u89c1\u548c\u4ed6\u4eec\u5728\u515a\u6d3e\u56de\u97f3\u5ba4\u4e2d\u7684\u7acb\u573a\u4e4b\u95f4\u7684\u76f8\u5173\u6027\uff0c\u8fd9\u4e9b\u7c7b\u578b\u7684\u5f71\u54cd\u662f\u6df7\u6dc6\u7684\u3002\u4e3a\u4e86\u533a\u5206\u5b83\u4eec\u7684\u5f71\u54cd\uff0c\u6211\u4eec\u505a\u4e86\u4e00\u4e2a\u56de\u5f52\u5206\u6790\u5206\u6790\uff0c\u53d1\u73b0\u5bf9\u4e8e\u504f\u5de6\u548c\u504f\u53f3\u7684\u7528\u6237\u6765\u8bf4\uff0c\u5bf9\u4e8e\u9519\u8bef\u4fe1\u606f\u7684\u8106\u5f31\u6027\u53d7\u5230\u515a\u6d3e\u504f\u89c1\u7684\u5f71\u54cd\u6700\u5927\u3002<\/span><\/p>\n


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    \u65b0\u51a0\u80ba\u708e\u5927\u6d41\u884c\u4e2d\u56fd\u5927\u9646\u7a7a\u95f4<\/strong><\/span><\/p>\n

    \u6269\u6563\u6a21\u5f0f\u7684\u591a\u91cd\u5206\u5f62\u5c3a\u5ea6\u5206\u6790<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Multifractal scaling analyses of the spatial diffusion pattern of COVID-19 pandemic in Chinese mainland<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=81c8e77a-0854-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Yuqing Long,Yanguang Chen,Yajing Li<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u63ed\u793a\u6d41\u884c\u75c5\u7a7a\u95f4\u6269\u6563\u7684\u65f6\u7a7a\u6f14\u53d8\u89c4\u5f8b\uff0c\u6709\u52a9\u4e8e\u9884\u9632\u548c\u63a7\u5236\u6d41\u884c\u75c5\u7684\u4f20\u64ad\u3002\u672c\u6587\u4ee5\u5730\u7ea7\u5e02\u5b9e\u65f62019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u6570\u636e\u4e3a\u57fa\u7840\uff0c\u63a2\u8ba8\u4e862019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5927\u6d41\u884c\u7a7a\u95f4\u6269\u6563\u6a21\u5f0f\u7684\u591a\u91cd\u5206\u5f62\u5c3a\u5ea6\u53ca\u5176\u4e2d\u56fd\u5927\u9646\u6f14\u53d8\u7279\u5f81\u3002\u91c7\u7528 ArcGIS \u6280\u672f\u548c\u76d2\u5b50\u8ba1\u6570\u6cd5\u63d0\u53d6\u7a7a\u95f4\u6570\u636e\uff0c\u5229\u7528\u6700\u5c0f\u4e8c\u4e58\u6cd5\u8ba1\u7b97\u5206\u5f62\u53c2\u6570\u3002\u7ed3\u679c\u663e\u793a\u4e2d\u56fd2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5927\u6d41\u884c\u7684\u591a\u91cd\u5206\u5f62\u5206\u5e03\u3002\u5e7f\u4e49\u5173\u8054\u7ef4\u6570\u8c31\u662f\u9006 s \u5f62\u66f2\u7ebf\uff0c\u4f46\u5f53\u77e9\u5e8f\u4e3a q < 0\u65f6\uff0c\u5206\u5f62\u7ef4\u6570\u503c\u663e\u8457\u8d85\u8fc7\u5d4c\u5165\u7a7a\u95f4\u7684\u6b27\u6c0f\u7ef4\u6570\u3002\u5c40\u90e8\u5947\u5f02\u8c31\u662f\u5411\u53f3\u503e\u659c\u7684\u975e\u5bf9\u79f0\u5355\u5cf0\u66f2\u7ebf\u3002\u5206\u5f62\u7ef4\u6570\u751f\u957f\u66f2\u7ebf\u4e3a\u51c6 s \u578b\u66f2\u7ebf\u3002\u4ece\u8fd9\u4e9b\u8c31\u548c\u751f\u957f\u66f2\u7ebf\u53ef\u4ee5\u5f97\u51fa\u5982\u4e0b\u4e3b\u8981\u7ed3\u8bba\u3002\u9996\u5148\uff0c2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u6d41\u884c\u8fc7\u7a0b\u4e2d\u5f62\u6210\u7684\u81ea\u76f8\u4f3c\u6a21\u5f0f\uff0c\u4f3c\u4e4e\u53d7\u5230\u591a\u5c3a\u5ea6\u89c4\u5f8b\u7684\u652f\u914d\u3002\u7b2c\u4e8c\uff0c\u4e2d\u56fd\u4e1c\u5317\u4e9a2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u7684\u7a7a\u95f4\u683c\u5c40\u53ef\u80fd\u662f\u5c40\u5730\u65e0\u5e8f\u6269\u6563\u7684\u5168\u7403\u805a\u96c6\u62e5\u6709\u5c5e\u6027\u3002\u7b2c\u4e09\uff0c\u4e2d\u56fd2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u7684\u7a7a\u95f4\u6269\u6563\u8fc7\u7a0b\u7ecf\u5386\u4e86\u521d\u59cb\u9636\u6bb5\u3001\u5feb\u901f\u6269\u6563\u9636\u6bb5\u3001\u7b49\u7ea7\u6269\u6563\u9636\u6bb5\u548c\u6536\u7f29\u9636\u6bb5\u3002\u672c\u7814\u7a76\u8868\u660e\uff0c\u591a\u91cd\u5206\u5f62\u7406\u8bba\u53ef\u4ee5\u7528\u6765\u523b\u753b2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u6d41\u884c\u7684\u65f6\u7a7a\u6269\u6563\u7279\u5f81\uff0c\u6848\u4f8b\u5206\u6790\u5bf9\u8fdb\u4e00\u6b65\u63a2\u7d22\u7a7a\u95f4\u6269\u6563\u7684\u81ea\u7136\u89c4\u5f8b\u5177\u6709\u6307\u5bfc\u610f\u4e49\u3002<\/span><\/p>\n


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    Panhandlers \u5728\u591a\u5c42\u79cd\u7fa4\u4e2d\u7684\u6f14\u5316<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/h2>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span><\/h2>\n

    Evolution of prosocial behavior in multilayer populations<\/span><\/h2>\n

    \u5730\u5740\uff1a<\/span><\/strong>
    <\/span><\/h2>\n

    https:\/\/pattern.swarma.org\/paper?id=7d4ea5e0-0854-11eb-bf2a-0242ac1a000c<\/span><\/p>\n

    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

    Qi Su,Alex McAvoy,Yoichiro Mori,Joshua B. Plotkin<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u4eba\u7c7b\u793e\u4f1a\u5305\u62ec\u8bb8\u591a\u7c7b\u578b\u7684\u793e\u4f1a\u5173\u7cfb\u3002\u4f8b\u5982\uff0c\u670b\u53cb\u3001\u5bb6\u4eba\u3001\u5546\u4e1a\u4f19\u4f34\u3001\u5728\u7ebf\u8054\u7cfb\u4eba\u548c\u5b97\u6559\u56e2\u4f53\u90fd\u53ef\u4ee5\u4e3a\u4e2a\u4eba\u7684\u793e\u4f1a\u751f\u6d3b\u505a\u51fa\u8d21\u732e\u3002\u4e2a\u4f53\u53ef\u80fd\u5728\u4e0d\u540c\u7684\u9886\u57df\u8868\u73b0\u4e0d\u540c\uff0c\u4f46\u662f\u4ed6\u4eec\u5728\u4e00\u4e2a\u9886\u57df\u7684\u6210\u529f\u53ef\u80fd\u5728\u53e6\u4e00\u4e2a\u9886\u57df\u4ea7\u751f\u6210\u529f\u3002\u793e\u4f1a\u4ea4\u5f80\u9886\u57df\u7684\u4e0d\u540c\u4f46\u76f8\u4e92\u5173\u8054\u6240\u5bfc\u81f4\u7684\u590d\u6742\u6027\u53ef\u80fd\u662f\u793e\u4f1a\u4e2d\u4eb2\u793e\u4f1a\u6216\u81ea\u79c1\u884c\u4e3a\u7684\u5173\u952e\u9a71\u52a8\u529b\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u7814\u7a76\u8fd9\u4e2a\u95ee\u9898\u4f7f\u7528\u591a\u5c42\u7f51\u7edc\u6a21\u578b\u4eba\u53e3\u4e0e\u591a\u4e2a\u9886\u57df\u7684\u793e\u4f1a\u4e92\u52a8\u3002\u4e00\u4e2a\u4e2a\u4f53\u53ef\u4ee5\u51fa\u73b0\u5728\u591a\u4e2a\u4e0d\u540c\u7684\u5c42\u4e2d\uff0c\u6bcf\u4e2a\u5c42\u90fd\u6709\u4e0d\u540c\u7684\u884c\u4e3a\u548c\u73af\u5883\u3002\u6211\u4eec\u63d0\u4f9b\u6570\u5b66\u7ed3\u679c\u7684\u884c\u4e3a\u52a8\u529b\u5b66\u7684\u7ed3\u679c\uff0c\u4e3a\u4efb\u4f55\u591a\u5c42\u7ed3\u6784\u3002\u5728\u4e0d\u540c\u7684\u7ed3\u6784\u7a7a\u95f4\u4e2d\uff0c\u6211\u4eec\u53d1\u73b0\u5c42\u4e0e\u5c42\u4e4b\u95f4\u7684\u8026\u5408\u503e\u5411\u4e8e\u4fc3\u8fdb panhandlers\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5373\u4f7f\u4eb2\u548c\u6027\u5728\u5404\u5c42\u4e2d\u4e0d\u53d7\u5f71\u54cd\uff0c\u591a\u5c42\u8026\u5408\u4e5f\u53ef\u4ee5\u540c\u65f6\u4fc3\u8fdb\u4eb2\u548c\u6027\u5728\u5404\u5c42\u4e2d\u7684\u6269\u6563\u3002\u6211\u4eec\u5c06\u8fd9\u4e9b\u6280\u672f\u5e94\u7528\u4e8e6\u4e2a\u771f\u5b9e\u4e16\u754c\u7684\u591a\u5c42\u6b21\u793e\u4ea4\u7f51\u7edc\uff0c\u4ece\u8d5e\u6bd4\u4e9a\u793e\u533a\u7684\u793e\u4f1a\u60c5\u611f\u548c\u804c\u4e1a\u5173\u7cfb\u7f51\u7edc\uff0c\u5230\u5b66\u672f\u5927\u5b66\u5185\u7684\u5728\u7ebf\u548c\u79bb\u7ebf\u5173\u7cfb\u7f51\u7edc\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u793e\u4f1a\u4e92\u52a8\u7684\u4e0d\u540c\u9886\u57df\u4e4b\u95f4\u7684\u8026\u5408\u5bf9\u4eb2\u793e\u4f1a\u6027\u5728\u4eba\u7c7b\u793e\u4f1a\u4e2d\u7684\u4f20\u64ad\u81f3\u5173\u91cd\u8981\u3002<\/span><\/p>\n


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    \u5982\u679c\u4f60\u7ecf\u5e38\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u548c\u8de8\u5b66\u79d1\u7814\u7a76\u8fdb\u5c55\uff0c\u662f\u7f51\u7edc\u8bba\u6587\u901f\u9012\u680f\u76ee\u7684\u957f\u671f\u8bfb\u8005\uff0c<\/span>\u6b22\u8fce\u626b\u63cf\u96c6\u667a\u5c0f\u52a9\u624b\uff0c\u5411\u6211\u4eec\u53cd\u9988\u4f60\u7684\u9700\u6c42<\/strong>\u3002\u6b22\u8fce\u63d0\u51fa\u5b9d\u8d35\u610f\u89c1\uff0c\u6211\u4eec\u4e00\u8d77\u6765\u63a2\u7d22\u8ffd\u8e2a\u524d\u6cbf\u8fdb\u5c55\u7684\u66f4\u597d\u65b9\u5f0f\u3002<\/span><\/p>\n


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    \u53c2\u4e0e\u8bba\u6587\u901f\u9012\u7528\u6237\u8c03\u7814\u540e\uff0c\u6211\u4eec\u5c06\u9080\u8bf7\u4f60\u52a0\u5165\u96c6\u667a\u7684\u79d1\u7814\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong>\u3002<\/span><\/p>\n


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    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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    <\/strong><\/p>\n

    \u8d85\u56fe\u8d85\u8fb9\u7684\u5c40\u90e8\u51e0\u4f55\u53ca\u5176\u5728\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u5e94\u7528 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u90129\u7bc7<\/span><\/strong><\/a>
    <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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    \u7ecf\u6d4e\u4e0e\u75be\u75c5\u4f20\u64ad: COVID 19\u7684\u91cd\u542f\u673a\u5236 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901211\u7bc7<\/strong><\/a>
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    \u201c\u7c89\u4e1d\u7ecf\u6d4e\u201d\u5bf9\u4e2d\u56fd\u6d41\u884c\u97f3\u4e50\u4ea7\u4e1a\u6709\u7528\u5417? | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901211\u7bc7<\/strong><\/a>
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    \u65b0\u51a0\u75c5\u6bd2\u5927\u6d41\u884c\u4e2d\u7684Twitter\u56fd\u5bb6\u5f62\u8c61\uff1a\u4ee5\u4e2d\u56fd\u4e3a\u4f8b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901211\u7bc7<\/strong><\/a>
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    \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
    <\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2>\n

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    \n

    <\/p>\n<\/section>\n

    \u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

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