{"id":21214,"date":"2020-10-11T12:49:15","date_gmt":"2020-10-11T04:49:15","guid":{"rendered":"https:\/\/swarma.org\/?p=21214"},"modified":"2020-10-11T12:49:15","modified_gmt":"2020-10-11T04:49:15","slug":"%e5%9f%ba%e4%ba%8e%e7%9b%ae%e6%a0%87%e5%88%86%e7%b1%bb%e5%92%8ctriz%e7%9a%84%e8%87%aa%e7%84%b6%e5%90%af%e5%8f%91%e5%bc%8f%e7%ae%97%e6%b3%95-%e7%bd%91%e7%bb%9c%e7%a7%91%e5%ad%a6%e8%ae%ba%e6%96%87","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=21214","title":{"rendered":"\u57fa\u4e8e\u76ee\u6807\u5206\u7c7b\u548cTRIZ\u7684\u81ea\u7136\u542f\u53d1\u5f0f\u7b97\u6cd5 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901214\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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\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

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

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    \n
  • \n

    \u57fa\u4e8e\u76ee\u6807\u5206\u7c7b\u548cTRIZ\u7684\u81ea\u7136\u542f\u53d1\u5f0f\u7b97\u6cd5\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u8ba1\u7b97\u968f\u673a\u52a8\u529b\u7cfb\u7edf\u6700\u53ef\u80fd\u8def\u5f84\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u5b66\u4e60\u8d85\u4e34\u754c\u7ffc\u578b\u7684\u7a7a\u6c14\u52a8\u529b\u5b66\u8bbe\u8ba1\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u8f6c\u53d8\u63a5\u89e6\u8005\u8ffd\u8e2a\u7684\u89c6\u89d2\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u901a\u8fc7\u5728\u7ebf\u62db\u8058\u5e7f\u544a\u7814\u7a76\u82f1\u56fd\u65b0\u51a0\u80ba\u708e\u5371\u673a\u671f\u95f4\u7684\u5c31\u4e1a\u5e02\u573a\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u590d\u6742\u4fe1\u606f\u52a8\u529b\u5b66\u7684\u7edf\u8ba1\u7269\u7406\uff1b<\/span><\/h2>\n<\/li>\n
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    \u5173\u4e8e\u8d85\u590d\u6742\u7f51\u7edc\uff1b<\/span><\/h2>\n<\/li>\n
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    \u65b0\u51a0\u80ba\u708e\u5bf9\u4eba\u7c7b\u6d41\u52a8\u6027\u5f71\u54cd\u7684\u65f6\u7a7a\u5206\u6790: \u4ee5\u7f8e\u56fd\u4e3a\u4f8b\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u5370\u5ea6\u7684\u6536\u5165\u5206\u914d\u548c\u4e0d\u5e73\u7b49: 2014-19\u5e74\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u5b66\u4e60\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u548c\u6df7\u6c8c: \u57fa\u4e8e\u77e5\u8bc6\u7684\u7cfb\u7edf\u8fa8\u8bc6\u548c\u9884\u6d4b\u7684\u901a\u7528\u6846\u67b6\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u51c6\u7406\u6027\u8111\u52a8\u529b\u5b66\u7684\u8bc1\u636e\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u56fe\u5f62\u795e\u7ecf\u7f51\u7edc\u7684\u4f20\u64ad\u6a21\u578b\u641c\u7d22\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u793e\u4f1a\u7f51\u7edc\u4e2d\u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\u7684\u65f6\u95f4\u7279\u6027\uff1b<\/span><\/h2>\n<\/li>\n
  • \n

    \u4f7f\u7528\u8d1d\u6c0f\u7f51\u8def\u9884\u6d4b\u80fd\u529b\u6210\u719f\u5ea6\u91cf\u5316\uff1b<\/span><\/h2>\n<\/li>\n<\/ul>\n


    <\/p>\n

    \n
    \n
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    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u76ee\u6807\u5206\u7c7b\u548cTRIZ\u7684\u81ea\u7136\u542f\u53d1\u5f0f\u7b97\u6cd5<\/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><\/h2>\n

    Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=136f0508-09fc-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Palak Sukharamwala,Manojkumar Parmar<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6280\u672f\u548c\u7b97\u6cd5\u6b63\u4ee5\u6307\u6570\u901f\u5ea6\u589e\u957f\u3002\u8fd9\u4e9b\u6280\u672f\u8db3\u4ee5\u89e3\u51b3\u6280\u672f\u4e0a\u5177\u6709\u6311\u6218\u6027\u548c\u590d\u6742\u6027\u7684\u95ee\u9898\uff0c\u800c\u8fd9\u4e9b\u95ee\u9898\u4f3c\u4e4e\u662f\u4e0d\u53ef\u80fd\u5b8c\u6210\u7684\u4efb\u52a1\u3002\u7136\u800c\uff0c\u8d8b\u52bf\u65b9\u6cd5\u548c\u65b9\u6cd5\u5728\u6570\u636e\u3001\u7b97\u6cd5\u3001\u8f6f\u4ef6\u3001\u8ba1\u7b97\u590d\u6742\u6027\u548c\u80fd\u91cf\u6548\u7387\u7b49\u5404\u4e2a\u65b9\u9762\u90fd\u9762\u4e34\u7740\u591a\u91cd\u6311\u6218\u3002\u81ea\u7136\u754c\u4e5f\u9762\u4e34\u7740\u7c7b\u4f3c\u7684\u6311\u6218\u3002\u81ea\u7136\u754c\u5df2\u7ecf\u89e3\u51b3\u4e86\u8fd9\u4e9b\u6311\u6218\uff0c\u8fd9\u4e9b\u6311\u6218\u548c\u516c\u5f0f\u53ef\u4ee5\u4f5c\u4e3a\u81ea\u7136\u542f\u53d1\u7b97\u6cd5(NIA) \uff0c\u8fd9\u662f\u57fa\u4e8e\u5bf9\u81ea\u7136\u7684\u7814\u7a76\u5f97\u51fa\u7684\u3002\u672c\u6587\u9610\u8ff0\u4e86\u4e00\u79cd\u57fa\u4e8e TRIZ \u7684\u5c06\u5b9e\u9645\u95ee\u9898\u6620\u5c04\u5230\u81ea\u7136\u95ee\u9898\u7684\u65b0\u65b9\u6cd5\u3002TRIZ \u662f\u4e00\u79cd\u521b\u9020\u6027\u95ee\u9898\u89e3\u51b3\u7406\u8bba\u3002\u5229\u7528\u6240\u63d0\u51fa\u7684\u6846\u67b6\uff0c\u53ef\u4ee5\u8bc6\u522b\u51fa\u89e3\u51b3\u73b0\u5b9e\u95ee\u9898\u7684\u6700\u4f73 NIA\u3002\u4e3a\u4e86\u4f7f\u8fd9\u4e2a\u6846\u67b6\u53d1\u6325\u4f5c\u7528\uff0c\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u57fa\u4e8e\u5927\u81ea\u7136\u8bd5\u56fe\u5b9e\u73b0\u7684\u6700\u7ec8\u76ee\u6807\u7684 NIA \u7684\u65b0\u5206\u7c7b\u3002\u6587\u4e2d\u8fd8\u8ba8\u8bba\u4e86\u8be5\u6846\u67b6\u7684\u5e94\u7528\u548c\u5b9e\u4f8b\u3002<\/span><\/p>\n


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

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

    \n
    \n
    <\/p>\n

    \u8ba1\u7b97\u968f\u673a\u52a8\u529b\u7cfb\u7edf<\/strong><\/span><\/p>\n

    \u6700\u53ef\u80fd\u8def\u5f84\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6<\/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><\/h2>\n

    A Machine Learning Framework for Computing the Most Probable Paths of Stochastic Dynamical Systems<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=fccbd694-09f8-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Yang Li,Jinqiao Duan,Xianbin Liu<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u5e7f\u6cdb\u7684\u975e\u7ebf\u6027\u7cfb\u7edf\u4e2d\uff0c\u566a\u58f0\u8bf1\u5bfc\u7684\u4e9a\u7a33\u6001\u4e4b\u95f4\u7684\u8fc7\u6e21\u73b0\u8c61\u7684\u51fa\u73b0\u8d77\u7740\u57fa\u672c\u7684\u4f5c\u7528\u3002\u6700\u53ef\u80fd\u8def\u5f84\u7684\u8ba1\u7b97\u662f\u7406\u89e3\u8f6c\u79fb\u884c\u4e3a\u673a\u7406\u7684\u5173\u952e\u95ee\u9898\u3002\u5c04\u51fb\u6cd5\u662f\u4e00\u79cd\u5e38\u7528\u7684\u5c04\u51fb\u6280\u672f\uff0c\u4f46\u5728\u9ad8\u7ef4\u7cfb\u7edf\u4e2d\u5931\u6548\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u53d1\u5c55\u4e86\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u7684\u6846\u67b6\uff0c\u4ee5\u8ba1\u7b97\u6700\u53ef\u80fd\u7684\u8def\u5f84\u5728\u6602\u8428\u683c-\u9a6c\u8d6b\u9c81\u666e\u610f\u4e49\u4e0b\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u91cd\u65b0\u5236\u5b9a\u4e86\u8fb9\u503c\u95ee\u9898\u54c8\u5bc6\u987f\u7cfb\u7edf\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u5e76\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u6765\u5f25\u8865\u62cd\u6444\u65b9\u6cd5\u7684\u7f3a\u9677\u3002\u6211\u4eec\u7684\u7b97\u6cd5\u6210\u529f\u5730\u5e94\u7528\u4e8e\u51e0\u4e2a\u5178\u578b\u7684\u4f8b\u5b50\uff0c\u8bc1\u660e\u4e86\u5b83\u7684\u6709\u6548\u6027\u548c\u51c6\u786e\u6027\u4e0e\u968f\u673a\u7cfb\u7edf\u7684(\u9ad8\u65af)\u5e03\u6717\u566a\u58f0\u548c(\u975e\u9ad8\u65af) l\u2018 evy \u566a\u58f0\u3002\u8fd9\u79cd\u65b0\u9896\u7684\u65b9\u6cd5\u6709\u6548\u5730\u63a2\u7d22\u4e86\u5404\u79cd\u79d1\u5b66\u9886\u57df\u4e2d\u7531\u968f\u673a\u6ce2\u52a8\u5f15\u53d1\u7684\u7a00\u6709\u4e8b\u4ef6\u7684\u5185\u90e8\u673a\u5236\u3002<\/span><\/p>\n


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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u5b66\u4e60\u8d85\u4e34\u754c\u7ffc\u578b\u7684<\/strong><\/span><\/p>\n

    \u7a7a\u6c14\u52a8\u529b\u5b66\u8bbe\u8ba1<\/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><\/h2>\n

    Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=9b6d3840-09ec-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Runze Li,Yufei Zhang,Haixin Chen<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u73b0\u4ee3\u6c11\u7528\u98de\u673a\u7684\u6c14\u52a8\u8bbe\u8ba1\u8981\u6c42\u5177\u6709\u771f\u6b63\u7684\u667a\u80fd\u611f\uff0c\u56e0\u4e3a\u5b83\u9700\u8981\u5bf9\u8de8\u97f3\u901f\u7a7a\u6c14\u52a8\u529b\u5b66\u6709\u5f88\u597d\u7684\u7406\u89e3\u548c\u5145\u5206\u7684\u7ecf\u9a8c\u3002\u5f3a\u5316\u5b66\u4e60\u662f\u4e00\u79cd\u4eba\u5de5\u901a\u7528\u667a\u80fd\uff0c\u5b83\u53ef\u4ee5\u901a\u8fc7\u53cd\u590d\u8bd5\u9a8c\u6765\u5b66\u4e60\u590d\u6742\u7684\u6280\u80fd\uff0c\u800c\u4e0d\u662f\u7b80\u5355\u5730\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u7279\u5f81\u6216\u505a\u51fa\u9884\u6d4b\u3002\u672c\u6587\u5229\u7528\u6df1\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u6765\u7814\u7a76\u51cf\u5c11\u8d85\u4e34\u754c\u7ffc\u578b\u6c14\u52a8\u963b\u529b\u7684\u653f\u7b56\u3002\u8be5\u7b56\u7565\u7684\u76ee\u7684\u662f\u6839\u636e\u58c1\u9a6c\u8d6b\u6570\u5206\u5e03\u7684\u7279\u70b9\u91c7\u53d6\u884c\u52a8\uff0c\u4ee5\u4fbf\u5b66\u5230\u7684\u7b56\u7565\u53ef\u4ee5\u66f4\u4e00\u822c\u3002\u5f3a\u5316\u5b66\u4e60\u7684\u521d\u59cb\u7b56\u7565\u901a\u8fc7\u6a21\u4eff\u5b66\u4e60\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u5e76\u4e0e\u968f\u673a\u751f\u6210\u7684\u521d\u59cb\u7b56\u7565\u8fdb\u884c\u6bd4\u8f83\u3002\u7136\u540e\u5728\u57fa\u4e8e\u66ff\u4ee3\u6a21\u578b\u7684\u73af\u5883\u4e2d\u8bad\u7ec3\u8be5\u653f\u7b56\uff0c\u5176\u4e2d200\u4e2a\u7ffc\u578b\u7684\u5e73\u5747\u51cf\u963b\u53ef\u4ee5\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u6709\u6548\u5730\u63d0\u9ad8\u3002\u8be5\u653f\u7b56\u4e5f\u901a\u8fc7\u4f7f\u7528\u8ba1\u7b97\u6d41\u4f53\u529b\u5b66\u8ba1\u7b97\u5728\u4e0d\u540c\u6d41\u52a8\u6761\u4ef6\u4e0b\u7684\u591a\u4e2a\u7ffc\u578b\u8fdb\u884c\u6d4b\u8bd5\u3002\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u7b56\u7565\u5728\u8bad\u7ec3\u6761\u4ef6\u548c\u5176\u4ed6\u7c7b\u4f3c\u6761\u4ef6\u4e0b\u90fd\u662f\u6709\u6548\u7684\uff0c\u53ef\u4ee5\u53cd\u590d\u5e94\u7528\u4ee5\u8fbe\u5230\u66f4\u5927\u7684\u51cf\u963b\u6548\u679c\u3002<\/span><\/p>\n


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

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

    \n
    \n
    <\/p>\n

    \u8f6c\u53d8\u63a5\u89e6\u8005\u8ffd\u8e2a\u7684\u89c6\u89d2<\/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><\/h2>\n

    Flipping the Perspective in Contact Tracing<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=6331f13a-09e9-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Po-Shen Loh<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u63a5\u89e6\u8ffd\u8e2a\u5df2\u7ecf\u6210\u4e3a\u5e7f\u6cdb\u8ba8\u8bba\u7684\u63a7\u52362019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u7684\u6280\u672f\u3002\u4f20\u7edf\u7684\u6d4b\u8bd5-\u8ffd\u8e2a-\u9694\u79bb-\u652f\u6301\u8303\u5f0f\u4fa7\u91cd\u4e8e\u5728\u4eba\u4eec\u63a5\u89e6\u5230\u9633\u6027\u4e2a\u4f53\u540e\u8bc6\u522b\u4ed6\u4eec\uff0c\u5e76\u4e14\u9694\u79bb\u4ed6\u4eec\u4ee5\u4fdd\u62a4\u5176\u4ed6\u4eba\u3002\u8fd9\u7bc7\u6587\u7ae0\u4ecb\u7ecd\u4e86\u4e00\u79cd\u66ff\u4ee3\u7684\u548c\u8865\u5145\u7684\u65b9\u6cd5\uff0c\u8fd9\u79cd\u65b9\u6cd5\u4f3c\u4e4e\u662f\u7b2c\u4e00\u4e2a\u5728\u66b4\u9732\u53d1\u751f\u4e4b\u524d\u901a\u77e5\u4eba\u4eec\uff0c\u5728\u4ed6\u4eec\u7684\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\u7684\u80cc\u666f\u4e0b\uff0c\u8fd9\u6837\u4ed6\u4eec\u53ef\u4ee5\u76f4\u63a5\u91c7\u53d6\u884c\u52a8\u907f\u514d\u66b4\u9732\u81ea\u5df1\uff0c\u800c\u4e0d\u9700\u8981\u4f7f\u7528\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\u3002\u6211\u4eec\u7684\u7cfb\u7edf\u5df2\u7ecf\u53ef\u4ee5\u7528\u73b0\u6709\u7684\u6280\u672f\u5b9e\u73b0: \u5bf9\u4e8e\u6bcf\u4e00\u4e2a\u79ef\u6781\u7684\u60c5\u51b5\uff0c\u4e0d\u4ec5\u901a\u77e5\u4ed6\u4eec\u7684\u76f4\u63a5\u8054\u7cfb\u4eba\uff0c\u800c\u4e14\u544a\u8bc9\u6210\u5343\u4e0a\u4e07\u7684\u4eba\u4ed6\u4eec\u79bb\u79ef\u6781\u7684\u60c5\u51b5\u6709\u591a\u8fdc\uff0c\u7528\u4ed6\u4eec\u7269\u7406\u5173\u7cfb\u7f51\u7edc\u4e2d\u7684\u7f51\u7edc\u7406\u8bba\u8ddd\u79bb\u6765\u8861\u91cf\u3002\u8fd9\u79cd\u5b8c\u5168\u4e0d\u540c\u7684\u65b9\u6cd5\u5df2\u7ecf\u90e8\u7f72\u5728\u4e00\u4e2a\u53ef\u516c\u5f00\u4e0b\u8f7d\u7684\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\u5b83\u5728\u7f51\u7edc\u7406\u8bba\u7684\u63a8\u52a8\u4e0b\uff0c\u4e3a\u5e94\u5bf9\u8fd9\u573a\u5927\u6d41\u884c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b0\u7684\u5de5\u5177\u3002\u5c31\u50cf\u6c14\u8c61\u536b\u661f\u4e3a\u5373\u5c06\u6765\u4e34\u7684\u98d3\u98ce\u63d0\u4f9b\u65e9\u671f\u9884\u8b66\u4e00\u6837\uff0c\u5b83\u4f7f\u4e2a\u4eba\u80fd\u591f\u770b\u5230\u4ece\u8fdc\u5904\u4f20\u6765\u7684\u4fe1\u53f7\uff0c\u5e76\u4ece\u4e00\u5f00\u59cb\u5c31\u76f4\u63a5\u907f\u514d\u66b4\u9732\u3002\u8fd9\u79cd\u98a0\u5012\u7684\u89c2\u70b9\u6fc0\u53d1\u4e86\u81ea\u6211\u4fdd\u5b58\u5929\u751f\u7684\u81ea\u79c1\u672c\u80fd\uff0c\u51cf\u5c11\u4e86\u5bf9\u5229\u4ed6\u4e3b\u4e49\u7684\u4f9d\u8d56\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u7684\u65b0\u7cfb\u7edf\u53ef\u4ee5\u89e3\u51b3\u884c\u4e3a\u534f\u8c03\u95ee\u9898\uff0c\u8fd9\u4e2a\u95ee\u9898\u8fc4\u4eca\u4e3a\u6b62\u5df2\u7ecf\u963b\u788d\u4e86\u8bb8\u591a\u5176\u4ed6\u57fa\u4e8e\u5e94\u7528\u7a0b\u5e8f\u7684\u5e72\u9884\u3002\u6211\u4eec\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u542f\u53d1\u5f0f\u7684\u6570\u5b66\u5206\u6790\uff0c\u663e\u793a\u4e86\u6211\u4eec\u7684\u7cfb\u7edf\u662f\u5982\u4f55\u5728\u975e\u5e38\u4f4e\u7684\u91c7\u7528\u9608\u503c\u4e0b\uff0c\u4ece\u7528\u6237\u7684\u89d2\u5ea6\u8fbe\u5230\u4e34\u754c\u8d28\u91cf\u7684(\u5728\u4e00\u4e9b\u5e38\u89c1\u7c7b\u578b\u7684\u793e\u533a\u4e2d\u53ef\u80fd\u4f4e\u4e8e10% \uff0c\u8fd9\u5728\u7b2c\u4e00\u6b21\u5b9e\u9645\u90e8\u7f72\u4e2d\u5f97\u5230\u4e86\u7ecf\u9a8c\u8bc1\u660e) ; \u5728\u90a3\u4e4b\u540e\uff0c\u6211\u4eec\u7cfb\u7edf\u7684\u8bbe\u8ba1\u81ea\u7136\u800c\u7136\u5730\u52a0\u901f\u4e86\u8fdb\u4e00\u6b65\u7684\u91c7\u7528\uff0c\u540c\u65f6\u4e5f\u63d0\u9192\u4e86\u5e94\u7528\u7a0b\u5e8f\u7684\u975e\u7528\u6237\u3002
    <\/span><\/p>\n


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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u5728\u7ebf\u62db\u8058\u5e7f\u544a\u7814\u7a76<\/strong><\/span><\/p>\n

    \u82f1\u56fd\u65b0\u51a0\u80ba\u708e\u5371\u673a\u671f\u95f4\u7684\u5c31\u4e1a\u5e02\u573a<\/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><\/h2>\n

    Studying the UK Job Market During the COVID-19 Crisis with Online Job Ads<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=5d633d86-09e9-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Rudy Arthur<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u65b0\u51a0\u80ba\u708e\u75be\u75c5\u536b\u751f\u7ec4\u7ec7\u7684\u5168\u7403\u6d41\u884c\u75c5\u4ee5\u53ca\u4e3a\u51cf\u8f7b\u6d41\u611f\u800c\u5b9e\u65bd\u7684\u5c01\u9501\u653f\u7b56\u5bf9\u52b3\u52a8\u529b\u5e02\u573a\u4ea7\u751f\u4e86\u6df1\u8fdc\u7684\u5f71\u54cd\u3002\u7406\u89e3\u8fd9\u4e9b\u5f71\u54cd\u9700\u8981\u6211\u4eec\u5c3d\u53ef\u80fd\u63a5\u8fd1\u5b9e\u65f6\u5730\u83b7\u53d6\u548c\u5206\u6790\u6570\u636e\uff0c\u7279\u522b\u662f\u5f53\u89c4\u5219\u8fc5\u901f\u53d8\u5316\u548c\u5f53\u5730\u7684\u5c01\u9501\u5236\u5b9a\u3002\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u5206\u6790\u6765\u81ea\u5728\u7ebf\u62db\u8058\u7f51\u7ad9 reed.co.UK \u7684\u6570\u636e\u6765\u7814\u7a76\u82f1\u56fd\u7684\u52b3\u52a8\u529b\u5e02\u573a\u3002\u4f7f\u7528\u4e3b\u9898\u5efa\u6a21\u548c\u5730\u7406\u63a8\u7406\u65b9\u6cd5\uff0c\u6211\u4eec\u80fd\u591f\u6253\u7834\u6570\u636e\u7684\u90e8\u95e8\u548c\u5730\u7406\u3002\u6211\u4eec\u8fd8\u7814\u7a76\u4e86\u81ea3\u6708\u4efd2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5371\u673a\u88ad\u51fb\u82f1\u56fd\u4ee5\u6765\uff0c\u85aa\u6c34\u3001\u5408\u540c\u7c7b\u578b\u548c\u5de5\u4f5c\u6a21\u5f0f\u53d1\u751f\u4e86\u600e\u6837\u7684\u53d8\u5316\u3002\u603b\u7684\u6765\u8bf4\uff0c\u5728\u5c01\u9501\u7684\u5934\u51e0\u5468\u91cc\uff0c\u804c\u4f4d\u7a7a\u7f3a\u51cf\u5c11\u4e8660% \u523070% \u3002\u52309\u6708\u4e2d\u65ec\uff0c\u8fd9\u4e00\u6570\u5b57\u5df2\u7565\u6709\u56de\u5347\uff0c\u4f46\u4ecd\u7136\u4e0b\u964d\u4e8640% \u81f350% \u3002\u6309\u884c\u4e1a\u7ec6\u5206\uff0c\u9152\u5e97\u548c\u6bd5\u4e1a\u751f\u5de5\u4f5c\u7684\u7a7a\u7f3a\u5927\u5927\u51cf\u5c11\uff0c\u540c\u65f6\u5728\u7981\u95ed\u671f\u95f4\u6709\u66f4\u591a\u7684\u62a4\u7406\u5de5\u4f5c\u548c\u62a4\u7406\u7a7a\u7f3a\u3002\u4e0d\u540c\u90e8\u95e8\u4e4b\u95f4\u7684\u5730\u7406\u5dee\u5f02\u6ca1\u6709\u90a3\u4e48\u660e\u663e\uff0c\u5c3d\u7ba1\u6709\u4e00\u4e9b\u8ff9\u8c61\u8868\u660e\uff0c\u5f53\u5730\u7684\u5c01\u9501\u963b\u788d\u4e86\u590d\u82cf\uff0c\u53d7\u51b2\u51fb\u8f83\u8f7b\u7684\u5730\u533a\u7684\u804c\u4f4d\u7a7a\u7f3a\u51cf\u5c11\u91cf\u53ef\u80fd\u8f83\u5c0f\u3002\u5728\u85aa\u916c\u4e2d\u4f4d\u6570\u548c\u5168\u804c\u53ca\u957f\u671f\u5de5\u4f5c\u6570\u91cf\u65b9\u9762\uff0c\u4e5f\u51fa\u73b0\u4e86\u4e00\u4e9b\u5c0f\u4f46\u91cd\u5927\u7684\u53d8\u5316\u3002\u9664\u4e86\u8fd9\u4e9b\u7ed3\u679c\uff0c\u8fd9\u9879\u5de5\u4f5c\u63d0\u51fa\u4e86\u4e00\u4e2a\u5f00\u653e\u7684\u65b9\u6cd5\uff0c\u4f7f\u5feb\u901f\u548c\u8be6\u7ec6\u7684\u8c03\u67e5\u5c31\u4e1a\u5e02\u573a\u5728\u8fd9\u4e9b\u4e0d\u7a33\u5b9a\u7684\u6761\u4ef6\u3002<\/span><\/p>\n


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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u590d\u6742\u4fe1\u606f\u52a8\u529b\u5b66\u7684\u7edf\u8ba1\u7269\u7406<\/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><\/h2>\n

    Statistical physics of complex information dynamics<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=f6c0e968-09e6-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Arsham Ghavasieh,Carlo Nicolini,Manlio De Domenico<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u590d\u6742\u7cfb\u7edf\u7684\u7ec4\u6210\u90e8\u5206\u901a\u8fc7\u4ea4\u6362\u4fe1\u606f\u6765\u6b63\u5e38\u5de5\u4f5c\u3002\u5b83\u4eec\u7684\u4fe1\u53f7\u52a8\u529b\u5b66\u5e38\u5e38\u5bfc\u81f4\u6d8c\u73b0\u73b0\u8c61\u7684\u51fa\u73b0\uff0c\u5982\u76f8\u53d8\u548c\u96c6\u4f53\u884c\u4e3a\u3002\u867d\u7136\u4fe1\u606f\u4ea4\u6362\u5e7f\u6cdb\u91c7\u7528\u4e0d\u540c\u7684\u6269\u6563\u8fc7\u7a0b\u2014\u2014\u5982\u8fde\u7eed\u65f6\u95f4\u6269\u6563\u3001\u968f\u673a\u6e38\u52a8\u3001\u540c\u6b65\u548c\u5171\u8bc6\u2014\u2014\u5efa\u7acb\u5728\u590d\u6742\u7f51\u7edc\u4e4b\u4e0a\u7684\u6a21\u578b\uff0c\u4f46\u6211\u4eec\u4ecd\u7136\u65e0\u6cd5\u7406\u89e3\u4e00\u4e2a\u7edf\u4e00\u7684\u3001\u6709\u7269\u7406\u57fa\u7840\u7684\u6846\u67b6\uff0c\u7528\u4e8e\u7814\u7a76\u4fe1\u606f\u52a8\u6001\uff0c\u5e76\u83b7\u5f97\u5173\u4e8e\u5fae\u89c2\u76f8\u4e92\u4f5c\u7528\u7684\u5b8f\u89c2\u5f71\u54cd\u7684\u6d1e\u5bdf\u529b\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u6839\u636e\u4fe1\u606f\u52a8\u529b\u5b66\u7684\u7edf\u8ba1\u573a\u7406\u8bba\u63d0\u51fa\u4e86\u8fd9\u4e2a\u6846\u67b6\uff0c\u7edf\u4e00\u4e86\u4e00\u7cfb\u5217\u63a7\u5236\u4fe1\u606f\u5728\u9759\u6001\u6216\u65f6\u53d8\u7ed3\u6784\u4e0a\u6f14\u5316\u7684\u52a8\u6001\u8fc7\u7a0b\u3002\u6211\u4eec\u8bc1\u660e\u4e86\u4fe1\u606f\u7b97\u5b50\u6784\u6210\u4e86\u4e00\u4e2a\u6709\u610f\u4e49\u7684\u7cfb\u7efc\uff0c\u5b83\u4eec\u7684\u53e0\u52a0\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5bc6\u5ea6\u77e9\u9635\uff0c\u53ef\u4ee5\u7528\u6765\u5206\u6790\u590d\u52a8\u529b\u5b66\u3002\u4f5c\u4e3a\u4e00\u4e2a\u76f4\u63a5\u7684\u5e94\u7528\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u96c6\u6210\u7684\u51af\u7ebd\u66fc\u71b5\u53ef\u4ee5\u7528\u6765\u5ea6\u91cf\u590d\u6742\u7cfb\u7edf\u7684\u529f\u80fd\u591a\u6837\u6027\uff0c\u5b9a\u4e49\u4e3a\u7ec4\u4ef6\u4e4b\u95f4\u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\u7684\u529f\u80fd\u5dee\u5f02\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u6a21\u5757\u6027\u548c\u5c42\u6b21\u6027—- \u4ece\u4eba\u7c7b\u5927\u8111\u5230\u793e\u4f1a\u7f51\u7edc\u548c\u57ce\u5e02\u7f51\u7edc—- \u662f\u7ecf\u9a8c\u590d\u6742\u7cfb\u7edf\u7684\u4e24\u4e2a\u5173\u952e\u7279\u5f81\uff0c\u5728\u4fdd\u8bc1\u529f\u80fd\u591a\u6837\u6027\u65b9\u9762\u53d1\u6325\u7740\u5173\u952e\u4f5c\u7528\uff0c\u56e0\u6b64\u53d7\u5230\u9752\u7750\u3002<\/span><\/p>\n


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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5173\u4e8e\u8d85\u590d\u6742\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><\/h2>\n

    On Hypercomplex Networks<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=f5ff2756-09e6-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    \u00c9verton F. da Cunha,Luciano da F. Costa<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u201c\u590d\u6742\u6027\u201d\u7684\u6982\u5ff5\u5728\u590d\u6742\u7f51\u7edc\u79d1\u5b66\u4e2d\u8d77\u7740\u6838\u5fc3\u4f5c\u7528\uff0c\u901a\u5e38\u4e0e\u7a0b\u5ea6\u5f02\u8d28\u6027\u6709\u5173\u3002\u7136\u800c\uff0c\u7531\u4e8e\u5ea6\u5206\u5e03\u4e0d\u8db3\u4ee5\u63d0\u4f9b\u7ed9\u5b9a\u7f51\u7edc\u7684\u53ef\u9006\u8868\u793a\uff0c\u989d\u5916\u7684\u8865\u5145\u6d4b\u91cf\u662f\u5fc5\u8981\u7684\u3002\u5728\u76ee\u524d\u7684\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u7684\u76ee\u6807\u662f\u83b7\u5f97\u4e00\u4e2a\u65b0\u7684\u590d\u6742\u7f51\u7edc\u6a21\u578b\uff0c\u79f0\u4e3a\u8d85\u590d\u6742\u7f51\u7edc—- HC\uff0c\u5b83\u4e0d\u4ec5\u662f\u5ea6\u5206\u5e03\u7684\u62e5\u6709\u5c5e\u6027\u5f02\u8d28\u6027\uff0c\u800c\u4e14\u662f\u4e00\u4e2a\u76f8\u5bf9\u5b8c\u6574\u7684\u4e92\u8865\u62d3\u6251\u5ea6\u91cf\u96c6\u3002\u8be5\u6a21\u578b\u4ece\u5747\u5300\u968f\u673a\u7f51\u7edc\u5373\u9102\u5c14\u591a\u65af-\u4efb\u610f\u7ed3\u6784\u51fa\u53d1\uff0c\u5e94\u7528\u4f18\u5316\u6280\u672f\uff0c\u63d0\u9ad8\u4e86\u7f51\u7edc\u7684\u603b\u4f53\u590d\u6742\u5ea6\u6307\u6807\u3002\u6211\u4eec\u5df2\u7ecf\u8003\u8651\u4e86\u4e24\u79cd\u4f18\u5316\u65b9\u6cd5: \u68af\u5ea6\u4e0b\u964d\u6cd5\u4f18\u5316\u548c\u6a21\u62df\u9000\u706b\u4f18\u5316\u3002\u590d\u6742\u6027\u6307\u6570\u76ee\u524d\u76f8\u5f53\u4e8e\u51e0\u4e2a\u7ecf\u8fc7\u6df1\u601d\u719f\u8651\u7684\u6d4b\u91cf\u7ed3\u679c\u7684\u53d8\u5f02\u7cfb\u6570\u5e73\u5747\u503c\u3002\u62a5\u544a\u548c\u8ba8\u8bba\u4e86\u4e00\u4e9b\u6709\u8da3\u7684\u7ed3\u679c\uff0c\u5305\u62ec\u968f\u7740\u4f18\u5316\u7684\u8fdb\u884c\uff0cHC \u7f51\u7edc\u5728\u6d4b\u91cf\u7684\u4e3b\u6210\u5206\u7a7a\u95f4\u4e2d\u5b9a\u4e49\u4e86\u4e00\u6761\u8f68\u8ff9\uff0c\u8fd9\u6761\u8f68\u8ff9\u5f80\u5f80\u504f\u79bb\u6240\u8003\u8651\u7684\u7406\u8bba\u6a21\u578b\uff0c\u8fdb\u5165\u4ee5\u524d\u7684\u7a7a\u767d\u7a7a\u95f4(\u6848\u4f8b\u5bc6\u5ea6\u4f4e)\u3002\u5bf9\u4e8e\u76f8\u5bf9\u8f83\u5c11\u7684\u8282\u70b9\uff0cHC \u7f51\u7edc\u5df2\u7ecf\u89c2\u5bdf\u5230\u9971\u548c\uff0c\u81f3\u5c11\u5728\u4e00\u4e2a\u77ed\u6682\u7684\u65f6\u671f\uff0c\u4ed6\u4eec\u7684\u590d\u6742\u6027\u5728\u4e00\u5b9a\u6570\u91cf\u7684\u4f18\u5316\u6b65\u9aa4\u4e4b\u540e\uff0c\u4ea7\u751f\u7684\u7ed3\u6784\u62e5\u6709\u5c5e\u6027\u589e\u5f3a\u4e86\u6bcf\u4e2a\u88ab\u8003\u8651\u7684\u62d3\u6251\u6d4b\u91cf\u7684\u5f02\u8d28\u6027\uff0c\u4f46\u662f\u96c6\u805a\u7cfb\u6570\u63a5\u8fd1\u4e8e\u96f6\u3002\u5bf9\u4e8e\u8f83\u5927\u7684 HC \u7f51\u7edc\uff0c\u6211\u4eec\u89c2\u5bdf\u5230\u7f51\u7edc\u53ef\u4ee5\u5f00\u59cb\uff0c\u7ecf\u8fc7\u5927\u91cf\u7684\u4f18\u5316\u6b65\u9aa4\uff0c\u5916\u56f4\u5206\u652f\u7ed3\u6784\uff0c\u8fdb\u4e00\u6b65\u589e\u5f3a\u8fd9\u4e9b\u7f51\u7edc\u7684\u590d\u6742\u6027\u3002<\/span><\/p>\n


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

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    <\/p>\n

    \n
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    \u65b0\u51a0\u80ba\u708e\u5bf9\u4eba\u7c7b\u6d41\u52a8\u6027<\/strong><\/span><\/p>\n

    \u5f71\u54cd\u7684\u65f6\u7a7a\u5206\u6790: \u4ee5\u7f8e\u56fd\u4e3a\u4f8b<\/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><\/h2>\n

    Spatial-temporal Analysis of COVID-19’s Impact on Human Mobility: the Case of the United States<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=f08011aa-09e6-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Songhe Wang,Kangda Wei,Lei Lin,Weizi Li<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u81ea2019\u5e7412\u6708\u4ee5\u6765\uff0c2019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5df2\u7ecf\u5f71\u54cd\u5230\u793e\u4f1a\u751f\u6d3b\u7684\u65b9\u65b9\u9762\u9762\uff0c\u5305\u62ec\u4eba\u53e3\u6d41\u52a8\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u6211\u4eec\u7814\u7a76\u4e862019\u51a0\u72b6\u75c5\u6bd2\u75be\u75c5\u5bf9\u7f8e\u56fd\u5404\u5dde\u4eba\u53e3\u6d41\u52a8\u6a21\u5f0f\u7684\u5f71\u54cd\u3002\u4ece\u65f6\u95f4\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u6211\u4eec\u53d1\u73b0\u6d41\u52a8\u6a21\u5f0f\u7684\u53d8\u5316\u5e76\u4e0d\u4e00\u5b9a\u4e0e\u653f\u5e9c\u7684\u653f\u7b56\u548c\u6307\u5bfc\u65b9\u9488\u76f8\u5173\uff0c\u800c\u662f\u66f4\u591a\u5730\u4e0e\u4eba\u4eec\u5bf9\u6d41\u884c\u75c5\u7684\u610f\u8bc6\u76f8\u5173\uff0c\u8fd9\u5728 Google Trends \u7684\u641c\u7d22\u6570\u636e\u4e2d\u5f97\u5230\u4e86\u53cd\u6620\u3002\u6211\u4eec\u7684\u7ed3\u679c\u8868\u660e\uff0c\u5e73\u5747\u9700\u898114\u5929\u7684\u6d41\u52a8\u6a21\u5f0f\u8c03\u6574\u5230\u65b0\u7684\u60c5\u51b5\u3002\u4ece\u7a7a\u95f4\u89d2\u5ea6\u51fa\u53d1\uff0c\u5229\u7528\u591a\u5c3a\u5ea6\u52a8\u6001\u4eba\u6d41\u6570\u636e\u96c6\u4e2d\u7684\u79fb\u52a8\u6570\u636e\u8fdb\u884c\u72b6\u6001\u5c42\u6b21\u7684\u7f51\u7edc\u5206\u6790\u548c\u805a\u7c7b\u3002\u7ed3\u679c\uff0c\u6211\u4eec\u53d1\u73b0: 1)\u540c\u4e00\u4e2a\u7fa4\u96c6\u4e2d\u7684\u72b6\u6001\u6709\u8f83\u77ed\u7684\u5730\u7406\u8ddd\u79bb; 2)\u4ece\u51fa\u73b0\u6700\u5927\u6570\u91cf\u7fa4\u96c6\u7684\u65f6\u95f4\u5230 Google Trends \u4e2d\u4e0e\u51a0\u72b6\u75c5\u6bd2\u76f8\u5173\u7684\u641c\u7d22\u67e5\u8be2\u9ad8\u5cf0\u7684\u65f6\u95f4\u518d\u6b21\u51fa\u73b014\u5929\u7684\u5ef6\u8fdf; 3)\u4ece3\u67082\u65e5\u7684\u90a3\u4e00\u5468\u52304\u67086\u65e5\u7684\u90a3\u4e00\u5468(\u7fa4\u96c6\u6570\u91cf\u6700\u591a\u7684\u90a3\u4e00\u5468) \uff0c\u6240\u6709\u72b6\u6001\u7684\u5176\u4ed6\u7f51\u7edc\u6d41\u7279\u6027\uff0c\u5373\u7a0b\u5ea6\u3001\u63a5\u8fd1\u6027\u548c\u4e2d\u95f4\u6027\u7684\u5927\u5e45\u5ea6\u51cf\u5c11\u3002<\/span><\/p>\n


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    \n
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    \u5370\u5ea6\u7684\u6536\u5165\u5206\u914d\u548c\u4e0d\u5e73\u7b49: 2014-19\u5e74<\/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><\/h2>\n

    Income distribution and inequality in India: 2014-19<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=ea521210-09e6-11eb-a3e6-0242ac1a000c<\/span><\/p>\n

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

    Anand Sahasranaman,Nishanth Kumar<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u7814\u7a76\u4e862014\u5e74\u81f32019\u5e74\u5370\u5ea6\u7684\u6536\u5165\u53d8\u5316\uff0c\u53d1\u73b0\u5c3d\u7ba1\u6536\u5165\u4e0d\u5e73\u7b49\u5728\u8fd9\u6bb5\u65f6\u95f4\u5185\u57fa\u672c\u4fdd\u6301\u4e0d\u53d8\uff0c\u4f46\u6536\u5165\u5206\u914d\u7684\u4f4e\u7aef\u5df2\u7ecf\u7ecf\u5386\u4e86\u91cd\u5927\u635f\u5931\u2014\u2014\u5e95\u5c42\u901a\u80c0\u4e0d\u4ec5\u663e\u793a\u6536\u5165\u4efd\u989d\u4e0b\u964d\u4e86\u7ea638% \uff0c\u800c\u4e14\u6bcf\u5e74\u5b9e\u9645\u5e73\u5747\u6536\u5165\u8d1f\u589e\u957f4.6% \u3002\u6211\u4eec\u8fdb\u4e00\u6b65\u7814\u7a76\u4e86\u8fd9\u90e8\u5206\u5206\u914d\u7684\u6784\u6210\uff0c\u4f7f\u7528\u519c\u6751\u548c\u57ce\u5e02\u7684\u5206\u5272\uff0c\u53d1\u73b0\u5373\u4f7f\u6536\u5165\u4efd\u989d\u5728\u57ce\u5e02\u5206\u914d\u7684\u5e95\u90e8\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u589e\u52a0\uff0c\u90a3\u4e9b\u5728\u519c\u6751\u5206\u914d\u7684\u5e95\u90e8\u5df2\u7ecf\u51cf\u5c11-\u6536\u5165\u4efd\u989d\u5728\u519c\u6751\u6536\u5165\u5206\u914d\u7684\u5e95\u90e810\u5206\u4e4b\u4e0b\u964d\u4e8641% \uff0c\u548c\u5b9e\u9645\u5e73\u5747\u6536\u5165\u589e\u957f\u7387\u4e3a -4.3% \u4ece2014-19\u5e74\u3002\u6211\u4eec\u8fd8\u901a\u8fc7\u5b9e\u8bc1\u8bc1\u5b9e\uff0c\u5370\u5ea6\u7efc\u5408\u6536\u5165\u5206\u914d\u7684\u6700\u4f4e\u6536\u5165\u4e3b\u8981\u7531\u519c\u6751\u6536\u5165\u6784\u6210\uff0c\u56e0\u6b64\u5b9e\u9645\u6536\u5165\u7684\u4e0b\u964d\u5b9e\u8d28\u4e0a\u662f\u4e00\u79cd\u519c\u6751\u73b0\u8c61\u3002\u7814\u7a76\u5bb6\u5ead\u7684\u804c\u4e1a\u6570\u636e\uff0c\u6211\u4eec\u53d1\u73b0\u519c\u6751\u5206\u5e03\u7684\u5e95\u5c42\u5341\u5206\u4f4d\u6570\u4e0e\u5c0f\/\u8fb9\u9645\u519c\u6c11\u548c\u519c\u4e1a\u52b3\u52a8\u529b\u7684\u804c\u4e1a\u5bc6\u5207\u76f8\u5173\uff0c\u7a81\u51fa\u4e86\u8fd9\u4e9b\u804c\u4e1a\u7684\u7ecf\u6d4e\u8106\u5f31\u6027\u65e5\u76ca\u589e\u52a0\u3002\u4f7f\u7528 RGBM \u6a21\u578b\u6765\u4f30\u8ba1\u5370\u5ea6\u6536\u5165\u5206\u914d\u4e2d\u91cd\u65b0\u5206\u914d\u7684\u6027\u8d28\uff0c\u6211\u4eec\u53d1\u73b0\u91cd\u65b0\u5206\u914d\u4ece2015\u5e74\u5f00\u59cb\u51cf\u5c11\uff0c\u751a\u81f3\u57282018\u5e74\u8f6c\u4e3a\u8d1f\u6570\uff0c\u8fd9\u4e0e\u5206\u914d\u5e95\u90e8\u5b9e\u9645\u6536\u5165\u4e0b\u964d\u7684\u7ecf\u9a8c\u8bc1\u660e\u4e00\u81f4\uff0c\u5e76\u9884\u793a\u4e86\u672a\u6765\u6301\u7eed\u7684\u8d1f\u91cd\u65b0\u5206\u914d\u53ef\u80fd\u5bfc\u81f4\u8d44\u6e90\u4ece\u7a77\u4eba\u5411\u5bcc\u4eba\u9012\u51cf\u91cd\u65b0\u5206\u914d\u7684\u98ce\u9669\u3002<\/span><\/p>\n


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    \u5b66\u4e60\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u548c\u6df7\u6c8c: <\/strong><\/span><\/p>\n

    \u57fa\u4e8e\u77e5\u8bc6\u7684\u7cfb\u7edf\u8fa8\u8bc6<\/strong><\/span><\/p>\n

    \u548c\u9884\u6d4b\u7684\u901a\u7528\u6846\u67b6<\/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><\/h2>\n

    Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=fb7f1128-092d-11eb-90ee-0242ac1a000c<\/span><\/p>\n

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

    Tom Z. Jiahao,M. Ani Hsieh,Eric Forgoston<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u901a\u7528\u7684\u6846\u67b6\u5b66\u4e60\u7684\u884c\u4e3a\u52a8\u6001\u7cfb\u7edf\u7684\u89c2\u5bdf\u3002\u6211\u4eec\u5c06\u5b66\u4e60\u4efb\u52a1\u63cf\u8ff0\u4e3a\u4e00\u4e2a\u6709\u7ea6\u675f\u7684\u6700\u4f73\u5316\u95ee\u9898\uff0c\u53ef\u4ee5\u7528\u4f34\u968f\u7075\u654f\u5ea6\u6cd5\u6709\u6548\u5730\u6c42\u89e3\u3002\u6211\u4eec\u7684\u65b9\u6848\u5728\u6a21\u578b\u7684\u9009\u62e9\u65b9\u9762\u662f\u7075\u6d3b\u7684\uff0c\u73b0\u6709\u7684\u77e5\u8bc6\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u7528\u4e8e\u6df7\u5408\u5b66\u4e60\u3002\u901a\u8fc7\u5b66\u4e60\u5404\u79cd\u7cfb\u7edf\uff0c\u5305\u62ec\u521a\u6027\u8303\u5fb7\u6ce2\u5c14\u632f\u8361\u5668\u3001\u6df7\u6c8c Lorenz \u7cfb\u7edf\u548c Kuramoto-Sivashinsky \u65b9\u7a0b\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u6211\u4eec\u65b9\u6848\u7684\u6709\u6548\u6027\u3002\u6211\u4eec\u8fd8\u5305\u62ec\u6df7\u5408\u5b66\u4e60\u548c\u4ece\u5608\u6742\u7684\u89c2\u5bdf\u4e2d\u5b66\u4e60\u7684\u4f8b\u5b50\u3002<\/span><\/p>\n


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    \u51c6\u7406\u6027\u8111\u52a8\u529b\u5b66\u7684\u8bc1\u636e<\/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><\/h2>\n

    Evidence for quasicritical brain dynamics<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=dcedfc3c-0924-11eb-90ee-0242ac1a000c<\/span><\/p>\n

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

    Tom Z. Jiahao,M. Ani Hsieh,Eric Forgoston<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u8bb8\u591a\u8bc1\u636e\u4f3c\u4e4e\u8868\u660e\uff0c\u5927\u8111\u76ae\u5c42\u8fd0\u884c\u5728\u4e34\u754c\u70b9\u9644\u8fd1\uff0c\u7136\u800c\u5c1a\u672a\u53d1\u73b0\u4e00\u7ec4\u786e\u5b9a\u5176\u666e\u9002\u6027\u7c7b\u7684\u6307\u6570\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5f53\u6839\u636e\u6570\u636e\u4f30\u8ba1\u4e34\u754c\u6307\u6570\u65f6\uff0c\u5b83\u4eec\u5728\u7269\u79cd\u4e4b\u95f4\u3001\u540c\u4e00\u7269\u79cd\u7684\u4e2a\u4f53\u4e4b\u95f4\uff0c\u751a\u81f3\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0c\u6216\u8005\u4f9d\u8d56\u4e8e\u523a\u6fc0\u56e0\u7d20\uff0c\u90fd\u4f1a\u6709\u5f88\u5927\u7684\u4e0d\u540c\u3002\u6709\u8da3\u7684\u662f\uff0c\u8fd9\u4e9b\u6307\u6570\u4ecd\u7136\u8fd1\u4f3c\u5730\u4fdd\u6301\u7740\u4e00\u4e2a\u52a8\u529b\u5b66\u6807\u5ea6\u5173\u7cfb\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u51c6\u5171\u8f6d\u6027\u7406\u8bba\uff0c\u4e00\u4e2a\u5927\u8111\u52a8\u529b\u5b66\u7684\u7ec4\u7ec7\u539f\u5219\uff0c\u53ef\u4ee5\u89e3\u91ca\u8fd9\u79cd\u77db\u76fe\u7684\u60c5\u51b5\u3002\u5f53\u5916\u90e8\u523a\u6fc0\u9a71\u52a8\u5927\u8111\u76ae\u5c42\u65f6\uff0c\u51c6\u4e34\u754c\u6027\u9884\u793a\u7740\u6cbf\u7740\u4e00\u6761 Widom \u7ebf\u7684\u4e34\u754c\u6027\u504f\u79bb\uff0c\u5176\u7edd\u5bf9\u503c\u51cf\u5c0f\uff0c\u540c\u65f6\u4ecd\u7136\u4fdd\u6301\u7740\u8fd1\u4f3c\u7684\u52a8\u6001\u6807\u5ea6\u5173\u7cfb\u3002\u6211\u4eec\u4f7f\u7528\u6a21\u62df\u548c\u5b9e\u9a8c\u6570\u636e\u6765\u8bc1\u5b9e\u8fd9\u4e9b\u9884\u6d4b\uff0c\u5e76\u63cf\u8ff0\u53ef\u80fd\u5f88\u5feb\u88ab\u6d4b\u8bd5\u7684\u65b0\u9884\u6d4b\u3002<\/span><\/p>\n


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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u56fe\u5f62\u795e\u7ecf\u7f51\u7edc\u7684\u4f20\u64ad\u6a21\u578b\u641c\u7d22<\/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><\/h2>\n

    Propagation Model Search for Graph Neural Networks<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=32e72050-0920-11eb-90ee-0242ac1a000c<\/span><\/p>\n

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

    Yuhui Ding,Quanming Yao,Tong Zhang<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u7528\u4e8e\u56fe\u5f62\u795e\u7ecf\u7f51\u7edc\u7684\u795e\u7ecf\u7ed3\u6784\u641c\u7d22\u6846\u67b6\u3002\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u8868\u8fbe\u5f0f\u641c\u7d22\u7a7a\u95f4\uff0c\u91cd\u70b9\u5173\u6ce8 gnn \u7684\u4e00\u4e2a\u5e38\u89c1\u7684\u5173\u952e\u7ec4\u4ef6\u2014\u2014\u4f20\u64ad\u6a21\u578b\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u6211\u4eec\u641c\u7d22\u4f20\u64ad\u77e9\u9635\u548c\u4f20\u64ad\u6b65\u9aa4\u4e4b\u95f4\u7684\u8054\u7cfb\u3002\u6211\u4eec\u7684\u641c\u7d22\u7a7a\u95f4\u8986\u76d6\u4e86\u5404\u79cd\u56fe\u7c7b\u578b\uff0c\u4f8b\u5982\u540c\u6784\u56fe\u3001\u5f02\u6784\u56fe\uff0c\u5e76\u4e14\u53ef\u4ee5\u81ea\u7136\u5730\u6269\u5c55\u5230\u9ad8\u7ef4\u63a8\u8350\u7cfb\u7edf\u548c\u65f6\u7a7a\u6570\u636e\u3002\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u62bd\u6837\u7684\u4e00\u6b21\u6027 NAS \u7b97\u6cd5\u6765\u6709\u6548\u5730\u641c\u7d22\u5408\u9002\u7684\u4f20\u64ad\u6a21\u5f0f\u3002\u5728\u4e09\u4e2a\u4e0d\u540c\u7684\u573a\u666f\u4e2d\u8fdb\u884c\u4e86\u5927\u91cf\u7684\u5b9e\u9a8c\u6765\u8bc4\u4f30\u6240\u63d0\u51fa\u7684\u6846\u67b6\u3002\u6211\u4eec\u8868\u660e\uff0c\u6211\u4eec\u7684\u6846\u67b6\u6240\u83b7\u5f97\u7684\u6a21\u578b\u7684\u6027\u80fd\u4f18\u4e8e\u56fd\u5bb6\u7684\u6700\u5148\u8fdb\u7684 GNN \u65b9\u6cd5\u3002\u6b64\u5916\uff0c\u6211\u4eec\u7684\u6846\u67b6\u53ef\u4ee5\u5728\u5f02\u6784\u56fe\u4e2d\u53d1\u73b0\u53ef\u89e3\u91ca\u7684\u5143\u56fe\u3002<\/span><\/p>\n


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

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


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u793e\u4f1a\u7f51\u7edc\u4e2d<\/strong><\/span><\/p>\n

    \u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\u7684\u65f6\u95f4\u7279\u6027<\/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><\/h2>\n

    Temporal properties of higher-order interactions in social networks<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=ec128590-091d-11eb-90ee-0242ac1a000c<\/span><\/p>\n

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

    Giulia Cencetti,Federico Battiston,Bruno Lepri,M\u00e1rton Karsai<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u4eba\u7c7b\u5728\u5f53\u5730\u73af\u5883\u4e2d\u7684\u793e\u4f1a\u4e92\u52a8\u53ef\u4ee5\u901a\u8fc7\u8bb0\u5f55\u4eba\u4eec\u7684\u8eab\u4f53\u63a5\u8fd1\u5ea6\u548c\u65b9\u5411\u6765\u5b9e\u9a8c\u6027\u5730\u68c0\u6d4b\u51fa\u6765\u3002\u8fd9\u79cd\u8fd1\u4f3c\u4e8e\u9762\u5bf9\u9762\u4ea4\u6d41\u7684\u4e92\u52a8\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u8868\u73b0\u4e3a\u65f6\u53d8\u7684\u793e\u4ea4\u7f51\u7edc\uff0c\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0c\u94fe\u63a5\u4e0d\u65ad\u5730\u88ab\u521b\u5efa\u548c\u7834\u574f\u3002\u4f20\u7edf\u7684\u65f6\u95f4\u7f51\u7edc\u5206\u6790\u5927\u591a\u6d89\u53ca\u6210\u5bf9\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u5176\u4e2d\u94fe\u63a5\u63cf\u8ff0\u4e2a\u4f53\u4e4b\u95f4\u7684\u53cc\u5411\u8054\u7cfb\u3002\u7136\u800c\uff0c\u8bb8\u591a\u7f51\u7edc\u52a8\u529b\u5b66\u5f88\u96be\u5f52\u56e0\u4e8e\u6210\u5bf9\u8bbe\u7f6e\uff0c\u4f46\u5f80\u5f80\u5305\u62ec\u66f4\u5927\u7684\u7fa4\uff0c\u8fd9\u662f\u66f4\u597d\u5730\u63cf\u8ff0\u4e86\u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\u3002\u672c\u6587\u901a\u8fc7\u5206\u6790\u5728\u4e0d\u540c\u793e\u4f1a\u80cc\u666f\u4e0b\u6536\u96c6\u7684\u4e09\u4e2a\u516c\u5f00\u6570\u636e\u96c6\uff0c\u8003\u5bdf\u4e86\u65f6\u95f4\u793e\u4f1a\u7f51\u7edc\u7684\u9ad8\u9636\u7ec4\u7ec7\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u9ad8\u9636\u76f8\u4e92\u4f5c\u7528\u662f\u666e\u904d\u5b58\u5728\u7684\uff0c\u5e76\u4e14\uff0c\u4e0e\u5b83\u4eec\u7684\u6210\u5bf9\u5bf9\u5e94\u7269\u76f8\u4f3c\uff0c\u62e5\u6709\u5c5e\u6027\u5f02\u8d28\u52a8\u529b\u5b66\uff0c\u5feb\u901f\u5faa\u73af\u7684\u9ad8\u9636\u4e8b\u4ef6\u7684\u7a81\u53d1\u5217\u8f66\u88ab\u957f\u65f6\u95f4\u7684\u4e0d\u6d3b\u52a8\u6240\u5206\u9694\u3002\u6211\u4eec\u901a\u8fc7\u89c2\u5bdf\u4e0d\u540c\u9ad8\u9636\u7ed3\u6784\u4e4b\u95f4\u7684\u8f6c\u53d8\u901f\u7387\u6765\u7814\u7a76\u7fa4\u7684\u6f14\u5316\u548c\u5f62\u6210\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u5728\u66f4\u81ea\u53d1\u7684\u793e\u4f1a\u73af\u5883\u4e2d\uff0c\u7fa4\u4f53\u7684\u5f62\u6210\u548c\u5206\u89e3\u62e5\u6709\u5c5e\u6027\u66f4\u6162\uff0c\u800c\u5728\u5de5\u4f5c\u73af\u5883\u4e2d\uff0c\u8fd9\u4e9b\u73b0\u8c61\u66f4\u7a81\u5140\uff0c\u53ef\u80fd\u53cd\u6620\u4e86\u9884\u5148\u7ec4\u7ec7\u7684\u793e\u4f1a\u52a8\u6001\u3002\u6700\u540e\uff0c\u6211\u4eec\u89c2\u5bdf\u5230\u65f6\u95f4\u5f3a\u5316\uff0c\u8fd9\u8868\u660e\u4e00\u4e2a\u7fa4\u4f53\u5728\u4e00\u8d77\u505c\u7559\u7684\u65f6\u95f4\u8d8a\u957f\uff0c\u540c\u6837\u7684\u76f8\u4e92\u4f5c\u7528\u6a21\u5f0f\u5728\u672a\u6765\u6301\u7eed\u5b58\u5728\u7684\u6982\u7387\u5c31\u8d8a\u9ad8\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u5728\u7814\u7a76\u4eba\u7c7b\u65f6\u95f4\u52a8\u6001\u65f6\uff0c\u8003\u8651\u793e\u4f1a\u4e92\u52a8\u7684\u9ad8\u9636\u7ed3\u6784\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002<\/span><\/p>\n


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

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

    \n
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    <\/p>\n

    \u4f7f\u7528\u8d1d\u6c0f\u7f51\u8def\u9884\u6d4b\u80fd\u529b\u6210\u719f\u5ea6\u91cf\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><\/h2>\n

    Predictive Capability Maturity Quantification using Bayesian Network<\/span><\/h2>\n

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

    https:\/\/pattern.swarma.org\/paper?id=7a69e25e-0921-11eb-90ee-0242ac1a000c<\/span><\/p>\n

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

    Linyu Lin,Nam Dinh<\/span><\/p>\n


    <\/p>\n

    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u6838\u5de5\u7a0b\u4e2d\uff0c\u5efa\u6a21\u548c\u4eff\u771f(m & s)\u88ab\u5e7f\u6cdb\u5730\u5e94\u7528\u4e8e\u652f\u6301\u57fa\u4e8e\u98ce\u9669\u7684\u5b89\u5168\u5206\u6790\u3002\u7531\u4e8e\u6838\u5b89\u5168\u5206\u6790\u5177\u6709\u91cd\u8981\u610f\u4e49\uff0c\u56e0\u6b64\u9700\u8981\u4e00\u4e2a\u4ee4\u4eba\u4fe1\u670d\u7684\u9a8c\u8bc1\u8fc7\u7a0b\u6765\u8bc4\u4f30\u6a21\u62df\u7684\u5145\u5206\u6027\uff0c\u5373 m & s \u5de5\u5177\u80fd\u591f\u5145\u5206\u4ee3\u8868\u611f\u5174\u8da3\u7684\u7cfb\u7edf\u6570\u91cf\u7684\u7a0b\u5ea6\u3002\u7136\u800c\uff0c\u7531\u4e8e\u6570\u636e\u7f3a\u53e3\u7684\u5b58\u5728\uff0c\u9a8c\u8bc1\u53d8\u6210\u4e86\u4e00\u4e2a\u4e0d\u786e\u5b9a\u6027\u6761\u4ef6\u4e0b\u7684\u51b3\u7b56\u8fc7\u7a0b\u3002\u4e13\u5bb6\u77e5\u8bc6\u548c\u5224\u65ad\u9700\u8981\u6536\u96c6\u3001\u9009\u62e9\u3001\u63cf\u8ff0\u548c\u6574\u5408\u8bc1\u636e\uff0c\u624d\u80fd\u6700\u7ec8\u505a\u51fa\u5145\u5206\u6027\u51b3\u5b9a\u3002\u7136\u800c\uff0c\u5728\u786e\u8ba4\u6846\u67b6 CSAU: \u4ee3\u7801\u6269\u5c55\u3001\u9002\u7528\u6027\u548c\u4e0d\u786e\u5b9a\u6027(NUREG\/CR-5249)\u548c EMDAP: \u8bc4\u4f30\u6a21\u578b\u5f00\u53d1\u548c\u8bc4\u4f30\u8fc7\u7a0b(RG 1.203)\u4e2d\uff0c\u8fd9\u6837\u7684\u51b3\u7b56\u8fc7\u7a0b\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u662f\u9690\u542b\u7684\u548c\u6a21\u7cca\u7684\u3002\u5728\u573a\u666f\u590d\u6742\u7684\u60c5\u51b5\u4e0b\uff0c\u5bb9\u6613\u5ffd\u7565\u77e5\u8bc6\u504f\u5dee\u548c\u4e0d\u53ef\u9760\u5224\u65ad\uff0c\u589e\u52a0\u4e86\u4eff\u771f\u5145\u5206\u6027\u7ed3\u679c\u7684\u4e0d\u786e\u5b9a\u6027\u548c\u76f8\u5e94\u7684\u98ce\u9669\u3002\u56e0\u6b64\uff0c\u9700\u8981\u4e00\u4e2a\u6846\u67b6\uff0c\u4ee5\u5b9e\u7528\u3001\u900f\u660e\u548c\u4e00\u81f4\u7684\u65b9\u5f0f\u5f62\u5f0f\u5316\u6a21\u62df\u5145\u5206\u6027\u7684\u51b3\u7b56\u8fc7\u7a0b\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u9a8c\u8bc1\u6d3b\u52a8\u4fe1\u606f\u7684\u6a21\u62df\u5145\u5206\u6027\u8bc4\u4f30\u7684\u91cf\u5316\u6846\u67b6\u2014\u2014\u201c\u9884\u6d4b\u80fd\u529b\u6210\u719f\u5ea6\u91cf\u5316(PCMQBN)\u201d(Predictive Capability Maturity Quantification using \u8d1d\u6c0f\u7f51\u8def\uff0cPCMQBN)\u3002\u4e3a\u4e86\u8bc4\u4ef7\u5149\u6ed1\u7c92\u5b50\u6d41\u4f53\u52a8\u529b\u5b66\u6a21\u62df\u5728\u9884\u6d4b\u5916\u90e8\u9a71\u6cb9\u60c5\u51b5\u4e0b\u9759\u6001\u7ed3\u6784\u4e0a\u7684\u6d41\u4f53\u52a8\u529b\u65f6\u7684\u5145\u5206\u6027\uff0c\u51c6\u5907\u4e86\u4e00\u4e2a\u6848\u4f8b\u7814\u7a76\u3002\u4e0e\u5b9a\u6027\u548c\u9690\u5f0f\u5145\u5206\u6027\u8bc4\u4f30\u76f8\u6bd4\uff0cPCMQBN \u80fd\u591f\u63d0\u9ad8\u5bf9\u6a21\u62df\u5145\u5206\u6027\u7ed3\u679c\u7684\u7f6e\u4fe1\u5ea6\uff0c\u964d\u4f4e\u98ce\u9669\u77e5\u60c5\u5b89\u5168\u5206\u6790\u4e2d\u7684\u671f\u671b\u635f\u5931\u3002<\/span><\/p>\n


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    \u590d\u6742\u7cfb\u7edf\u524d\u6cbf\u6587\u732e\u4ea4\u6d41\u7fa4<\/strong><\/span><\/p>\n

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


    <\/p>\n

    \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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    \u8fd1\u671f\u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u9012<\/strong><\/span><\/strong><\/p>\n

    <\/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<\/strong><\/a>
    <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    \u6d41\u7f51\u7edc\u4e2d\u6062\u590d\u4e0e\u5931\u6548\u6269\u6563\u7684\u62d3\u6251\u7406\u8bba | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901212\u7bc7<\/strong><\/a>
    <\/p>\n

    \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>
    <\/p>\n

    \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>
    <\/p>\n

    \u56e0\u679c\u53d1\u73b0\u7684\u65b0\u6846\u67b6 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901213\u7bc7<\/strong><\/a>
    <\/p>\n

    \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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    \u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

    \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

    \u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n

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    <\/section>\n

    \u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


    <\/p>\n

    \u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

    \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

    \ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u4e86\u89e3\u66f4\u591a\u6700\u65b0arxiv\u8bba\u6587<\/span><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2><\/div>\n","protected":false},"excerpt":{"rendered":"

    \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 \u672c\u6587\u662f\u5bf9\u8fd1\u671farXiv\u8bba\u6587\u7684\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 \u6838\u5fc3\u901f\u9012 \u57fa\u4e8e\u76ee\u6807\u5206\u7c7b\u548cTRIZ\u7684\u81ea\u7136\u542f\u53d1\u5f0f\u7b97\u6cd5\uff1b \u8ba1\u7b97\u968f\u673a\u52a8\u529b\u7cfb\u7edf\u6700…<\/p>\n","protected":false},"author":1,"featured_media":21213,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21214"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21214"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21214\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/21213"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21214"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=21214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}