{"id":19917,"date":"2020-05-31T18:29:52","date_gmt":"2020-05-31T10:29:52","guid":{"rendered":"https:\/\/swarma.org\/?p=19917"},"modified":"2020-05-31T18:29:52","modified_gmt":"2020-05-31T10:29:52","slug":"%e4%bb%8a%e6%99%9a7%e7%82%b9%e7%9b%b4%e6%92%ad-%e5%9f%ba%e4%ba%8e%e5%9c%b0%e7%90%83%e6%b0%94%e5%80%99%e7%b3%bb%e7%bb%9f%e7%9a%84%e5%9b%a0%e6%9e%9c%e6%8e%a8%e6%96%ad","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=19917","title":{"rendered":"\u4eca\u665a7\u70b9\u76f4\u64ad | \u57fa\u4e8e\u5730\u7403\u6c14\u5019\u7cfb\u7edf\u7684\u56e0\u679c\u63a8\u65ad"},"content":{"rendered":"
\n
<\/section>\n
\n
\n
\n
\n
\n
\n
\n
\u76f4\u64ad\u9884\u544a<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

<\/section>\n
5\u670831\u65e5\uff08\u5468\u65e5\uff0919:00-21:00\uff0c\u96c6\u667a\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u8bfb\u4e66\u4f1a\u5c06\u8fdb\u884c\u65b0\u4e00\u671f\u7684\u8bba\u6587\u5206\u4eab\u76f4\u64ad\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e\u3002<\/span><\/section>\n

<\/section>\n

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

\u57fa\u4e8e\u5730\u7403\u6c14\u5019\u7cfb\u7edf\u7684\u56e0\u679c\u63a8\u65ad<\/strong><\/h2>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/p>\n

\u76f4\u64ad\u5730\u5740\uff1a<\/span><\/strong>\u96c6\u667a\u4ff1\u4e50\u90e8 B \u7ad9\u76f4\u64ad\u95f4<\/span><\/section>\n


<\/p>\n

\ud83d\udc40\u5173\u6ce8B\u7ad9\u4e3b\u64ad\u201c\u96c6\u667a\u4ff1\u4e50\u90e8\u201d<\/strong><\/strong><\/section>\n
\u4e0d\u9519\u8fc7\u6bcf\u4e00\u573a\u96c6\u667a\u91cd\u78c5\u76f4\u64ad<\/strong><\/strong><\/section>\n


<\/p>\n

<\/section>\n
\u76f4\u64ad\u5730\u5740\uff1a<\/strong><\/span>
<\/section>\n
https:\/\/live.bilibili.com\/8091531<\/strong><\/span><\/section>\n
\u76f4\u64ad\u65f6<\/strong>\u95f4 \uff1a19:00-21:00<\/strong><\/section>\n

<\/section>\n
\n
\n


<\/p>\n

\u8bba\u65871\uff1a<\/span><\/strong><\/span>\u51e0\u79cd\u56e0\u679c\u68c0\u6d4b\u65b9\u6cd5\u5728\u4e8c\u5143\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528\u6548\u679c\u6bd4\u8f83<\/span><\/strong><\/span><\/p>\n

\n
\n
\n
\n
\u8bba\u6587\u9898\u76ee\uff1a<\/section>\n

Comparison of six methods for the detection of causality in a bivariate time series<\/span><\/h2>\n

\u8bba\u6587\u5730\u5740\uff1a
<\/span><\/h2>\n
\n
https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.97.042207<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
\n
\n

\u8bba\u6587\u7b80\u4ecb\uff1a<\/span><\/strong><\/span><\/p>\n

\u786e\u5b9a\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u5bf9\u4e8e\u7406\u89e3\u590d\u6742\u7cfb\u7edf\u6709\u91cd\u8981\u4f5c\u7528\uff0c\u4f46\u4ece\u89c2\u6d4b\u5230\u7684\u65f6\u95f4\u5e8f\u5217\u4e2d\u68c0\u6d4b\u56e0\u679c\u5173\u7cfb\u4e00\u76f4\u5177\u6709\u5f88\u5927\u7684\u6311\u6218\u6027\u3002\u5373\u4f7f\u5728\u7b80\u5316\u7684\u53cc\u53d8\u91cf\u8026\u5408\u7cfb\u7edf\u4e2d\uff0c\u5404\u79cd\u56e0\u679c\u68c0\u6d4b\u65b9\u6cd5\u7684\u5e94\u7528\u6548\u679c\u4f9d\u7136\u53d7\u5230\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u7ed3\u6784\u3001\u65f6\u95f4\u5e8f\u5217\u6027\u8d28\u7684\u5f71\u54cd\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u4eec\u4ecb\u7ecd\u4e86\u516d\u79cd\u5e38\u7528\u7684\u56e0\u679c\u68c0\u6d4b\u65b9\u6cd5\uff0c\u5e76\u5bf9\u5b83\u4eec\u7684\u6027\u80fd\u8fdb\u884c\u4e86\u6bd4\u8f83\u6027\u7814\u7a76\u3002\u4ece\u6700\u7b80\u5355\u7684\u53cc\u53d8\u91cf\u8026\u5408\u7cfb\u7edf\u51fa\u53d1\uff0c\u53ef\u4ee5\u6a21\u62df\u4e00\u4e9b\u771f\u5b9e\u4e16\u754c\u4e2d\u89c2\u6d4b\u53d8\u91cf\u7684\u5e38\u89c1\u56e0\u679c\u5173\u7cfb\u548c\u6027\u8d28\uff0c\u5982\u5355\u5411\u4e0e\u53cc\u5411\u56e0\u679c\u4f20\u9012\u5173\u7cfb\u3001\u5171\u56e0\u5b50\u7684\u4f2a\u56e0\u679c\u5173\u7cfb\u3001\u5f31\u76f8\u5173\u4e0b\u7684\u56e0\u679c\u5173\u7cfb\u3002\u7ed3\u679c\u663e\u793a\uff0c\u5728\u4e0d\u540c\u7684\u52a8\u529b\u5b66\u60c5\u666f\u4e0b\uff0c\u516d\u79cd\u65b9\u6cd5\u8868\u73b0\u51fa\u4e86\u4e0d\u4e00\u6837\u7684\u9002\u7528\u6027\u3002\u540c\u65f6\uff0c\u8fd9\u9879\u7814\u7a76\u4e5f\u518d\u6b21\u8bc1\u660e\u4e86\u56e0\u679c\u5173\u7cfb\u7684\u4e00\u4e2a\u91cd\u8981\u7279\u5f81\uff0c\u5373\u53d8\u91cf\u95f4\u4fe1\u606f\u4f20\u9012\u7684\u4e0d\u5bf9\u7b49\u6027\u3002\u771f\u5b9e\u4e16\u754c\u4e2d\u7684\u7cfb\u7edf\uff0c\u5982\u751f\u7269\u7cfb\u7edf\u3001\u6c14\u5019\u7cfb\u7edf\u7b49\uff0c\u5f80\u5f80\u6bd4\u4e8c\u5143\u7cfb\u7edf\u66f4\u52a0\u590d\u6742\uff0c\u8fd9\u7bc7\u8bba\u6587\u4e3a\u4eca\u540e\u56e0\u679c\u68c0\u6d4b\u65b9\u6cd5\u7684\u7ee7\u7eed\u6539\u8fdb\u63d0\u4f9b\u4e86\u5f88\u597d\u7684\u53c2\u7167\uff0c\u66f4\u4e3a\u6211\u4eec\u5bf9\u56e0\u679c\u65b9\u6cd5\u7684\u4f7f\u7528\u5e26\u6765\u4e86\u5f88\u591a\u601d\u8003\uff0c\u5176\u4e2d\u6700\u91cd\u8981\u7684\u4fbf\u662f\uff1a\u60f3\u8981\u6b63\u786e\u63ed\u5f00\u56e0\u679c\u5173\u7cfb\u7684\u9762\u7eb1\uff0c\u6ce8\u91cd\u4e0d\u540c\u65b9\u6cd5\u7684\u9002\u7528\u6761\u4ef6\u5341\u5206\u5fc5\u8981\u3002<\/span><\/p>\n


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

\u8bba\u6587\u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/p>\n

<\/span><\/section>\n<\/section>\n

Anna Krakovsk\u00e1\uff0cJozef Jakub\u00edk\uff0cMartina Chvostekov\u00e1<\/span><\/p>\n


<\/p>\n

\u4e3b\u8bb2\u4eba\uff1a<\/span><\/strong><\/p>\n

<\/span><\/strong>\u9ec4\u7389\uff0c\u96c6\u667a\u8bfb\u4e66\u4f1a\u4f1a\u5458\uff0c\u67d0\u9ad8\u6821\u7269\u7406\u5b66\u5728\u8bfb\u535a\u58eb\u751f\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u6c14\u5019\u5b66\u4e0e\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u3002<\/span><\/p>\n

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


<\/p>\n

\u8bba\u65872\uff1a<\/span><\/strong><\/span>\u57fa\u4e8e\u5927\u89c4\u6a21\u975e\u7ebf\u6027\u65f6\u95f4\u5e8f\u5217\u7684\u56e0\u679c\u5173\u7cfb\u63a8\u65ad<\/span><\/strong><\/span><\/span><\/section>\n
\n
\n
\n
\n
\u8bba\u6587\u9898\u76ee\uff1a<\/section>\n

Detecting and quantifying causal associations in large nonlinear time series datasets<\/span><\/h2>\n

\u8bba\u6587\u5730\u5740\uff1a
<\/span><\/h2>\n
\n
https:\/\/advances.sciencemag.org\/content\/5\/11\/eaau4996<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
\n
\n

\u8bba\u6587\u7b80\u4ecb\uff1a<\/span><\/strong><\/p>\n

\u4ece\u89c2\u6d4b\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u786e\u5b9a\u56e0\u679c\u5173\u7cfb\uff0c\u5e76\u91cf\u5316\u5176\u5f3a\u5ea6\u662f\u7814\u7a76\u8bf8\u5982\u5730\u7403\u7cfb\u7edf\u6216\u4eba\u4f53\u7b49\u5b66\u79d1\u4e2d\u590d\u6742\u52a8\u529b\u7cfb\u7edf\u7684\u5173\u952e\u95ee\u9898\u3002\u5728\u8fd9\u79cd\u7cfb\u7edf\u4e2d\uff0c\u56e0\u4e3a\u6570\u636e\u96c6\u901a\u5e38\u662f\u9ad8\u7ef4\u548c\u975e\u7ebf\u6027\u7684\uff0c\u4e14\u6837\u672c\u91cf\u6709\u9650\uff0c\u8fdb\u884c\u6570\u636e\u9a71\u52a8\u7684\u56e0\u679c\u5173\u7cfb\u63a8\u7406\u662f\u4e00\u4e2a\u6311\u6218\u3002\u672c\u6587\u4e2d\uff0c\u4f5c\u8005\u5f15\u5165\u4e86\u4e00\u79cd\u65b0\u7684\u65b9\u6cd5\uff0c\u5c06\u7ebf\u6027\u6216\u975e\u7ebf\u6027\u6761\u4ef6\u72ec\u7acb\u6027\u68c0\u9a8c\u4e0e\u56e0\u679c\u53d1\u73b0\u7b97\u6cd5\u7075\u6d3b\u5730\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u8bd5\u56fe\u4ece\u5927\u89c4\u6a21\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u96c6\u4e2d\u4f30\u8ba1\u56e0\u679c\u7f51\u7edc\u3002\u4f5c\u8005\u5728\u6c14\u5019\u7cfb\u7edf\u548c\u4eba\u7c7b\u5fc3\u810f\u4e2d\u7684\u65f6\u95f4\u5e8f\u5217\u4e0a\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\uff0c\u5e76\u4f7f\u7528\u6a21\u4eff\u771f\u5b9e\u4e16\u754c\u6570\u636e\u7684\u5178\u578b\u5c5e\u6027\u7684\u5927\u89c4\u6a21\u5408\u6210\u6570\u636e\u96c6\u8fdb\u884c\u4e86\u9a8c\u8bc1\u3002\u5b9e\u9a8c\u8868\u660e\uff0c\u4f5c\u8005\u63d0\u51fa\u7684\u65b9\u6cd5\u5728\u68c0\u6d4b\u80fd\u529b\u4e0a\u4f18\u4e8e\u73b0\u6709\u7684\u6280\u672f\uff0c\u8fd9\u4e3a\u4ece\u65f6\u95f4\u5e8f\u5217\u4e2d\u53d1\u73b0\u548c\u91cf\u5316\u4e00\u7cfb\u5217\u7814\u7a76\u9886\u57df\u7684\u56e0\u679c\u7f51\u7edc\u5f00\u8f9f\u4e86\u5168\u65b0\u7684\u53ef\u80fd\u6027\u3002<\/span><\/p>\n

 <\/span><\/p>\n

\u672c\u6587\u4f5c\u8005 Jakob Runge \u73b0\u4efb\u804c\u4e8e\u5fb7\u56fd\u5b87\u822a\u4e2d\u5fc3\u6570\u636e\u79d1\u5b66\u7814\u7a76\u6240\uff08German Aerospace Center, Institute of Data Science\uff09\uff0c\u4e3b\u8981\u4ece\u4e8b\u4e0e\u5730\u7403\u79d1\u5b66\u9886\u57df\u76f8\u5173\u7684\u56e0\u679c\u63a8\u65ad\u548c\u7edf\u8ba1\u673a\u5668\u5b66\u4e60\u65b9\u9762\u7684\u5de5\u4f5c\u3002\u76ee\u524d\u4ed6\u7684 H \u56e0\u5b50\u4e3a 20\uff0c\u662f\u56e0\u679c\u63a8\u65ad\u9886\u57df\u77e5\u540d\u7684\u9752\u5e74\u5b66\u8005\u3002\u8fd9\u7bc7\u6587\u7ae0\u64b0\u5199\u4e8e\u4ed6\u4efb\u804c\u82f1\u56fd\u5e1d\u56fd\u7406\u5de5\u5927\u5b66\u671f\u95f4\u3002<\/span><\/p>\n


<\/p>\n

\u8bba\u6587\u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n<\/section>\n
Jakob Runge\uff0cPeer Nowack\uff0cMarlene Kretschmer\uff0cSeth Flaxman\uff0cDino Sejdinovic
<\/span><\/section>\n


<\/p>\n

\u4e3b\u8bb2\u4eba\uff1a<\/span><\/strong><\/p>\n

\u80e1\u56fd\u8f89\uff0c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u6d41\u4f53\u529b\u5b66\u4e13\u4e1a\u535a\u58eb\uff0c\u4e0a\u6d77\u5927\u5b66\u4e0a\u6d77\u5e02\u5e94\u7528\u6570\u5b66\u548c\u529b\u5b66\u7814\u7a76\u6240\u6559\u6388\u3002\u76ee\u524d\u5df2\u5728Nanotechnology\u3001Journal of Chemical Physics\u3001Biomechanics and Modeling in Mechanobiology\u3001Physics of Fluids\u3001Science China \u7b49\u56fd\u5185\u5916\u671f\u520a\u4e0a\u53d1\u8868\u5b66\u672f\u8bba\u6587 60 \u4f59\u7bc7\uff0c\u5df2\u4e3b\u6301 5 \u9879\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee\u7684\u7814\u7a76\u3002\u76ee\u524d\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u5fae\u7eb3\u5c3a\u5ea6\u6d41\u4f53\u529b\u5b66\u548c\u6d41\u52a8\u7a33\u5b9a\u6027\u3002<\/span><\/p>\n


<\/p>\n


<\/p>\n

\u8bba\u65873\uff1a<\/span><\/strong>\u878d\u5408\u9886\u57df\u77e5\u8bc6\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u96fe\u973e\u9884\u62a5\u6a21\u578b<\/span><\/strong><\/span><\/p>\n

\n
\n
\n
\n
\u8bba\u6587\u9898\u76ee\uff1a<\/section>\n

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting<\/span><\/h2>\n

\u8bba\u6587\u5730\u5740\uff1a<\/h2>\n
\n
https:\/\/arxiv.org\/abs\/2002.12898<\/section>\n

https:\/\/github.com\/shawnwang-tech\/PM2.5-GNN <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

\n
\n

\u8bba\u6587\u7b80\u4ecb\uff1a<\/span><\/strong><\/span><\/p>\n

\u5927\u6c14\u6c61\u67d3\u662f\u5f53\u4eca\u4e16\u754c\u9762\u4e34\u7684\u4e25\u5cfb\u6311\u6218\u4e4b\u4e00\uff0c\u9884\u62a5\u96fe\u973e\uff08PM2.5\uff09\u80fd\u591f\u5e2e\u52a9\u653f\u5e9c\u51b3\u7b56\u3001\u6307\u5bfc\u4e2a\u4eba\u51fa\u884c\uff0c\u5177\u6709\u91cd\u8981\u7684\u793e\u4f1a\u610f\u4e49\u3002\u4f46\u7531\u4e8e\u5927\u6c14\u6c61\u67d3\u662f\u590d\u6742\u7cfb\u7edf\uff0c\u51c6\u786e\u9884\u62a5\u6781\u5177\u6311\u6218\u3002\u5177\u4f53\u8868\u73b0\u5728\u5f71\u54cd\u96fe\u973e\u7684\u56e0\u7d20\u4f17\u591a\uff0c\u6c61\u67d3\u7269\u4e4b\u95f4\u8fd8\u4f1a\u53d1\u751f\u5316\u5b66\u53cd\u5e94\u751f\u6210\u4e8c\u6b21\u6c61\u67d3\u7269\uff0c\u65f6\u95f4\u4e0e\u7a7a\u95f4\u7684\u957f\u7a0b\u76f8\u5173\u6027\u3002\u672c\u6587\u5728\u6df1\u523b\u7406\u89e3\u96fe\u973e\u6210\u56e0\u7684\u57fa\u7840\u4e0a\uff0c\u5c06\u73af\u5883\u4e0e\u6c14\u8c61\u7684\u9886\u57df\u77e5\u8bc6\u878d\u5165\u5efa\u6a21\u4e2d\uff0c\u63d0\u51fa\u4e86\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\uff08GNN\uff09\u7684\u96fe\u973e\u9884\u62a5\u6a21\u578b PM2.5-GNN\u3002\u672c\u6587\u57fa\u4e8e\u590d\u6742\u7f51\u7edc\u7684\u89c2\u70b9\uff0c\u5c06\u6c61\u67d3\u7269\u9897\u7c92\u770b\u6210\u662f\u5728\u6240\u6784\u5efa\u7684\u57ce\u5e02\u96fe\u973e\u4f20\u8f93\u7f51\u7edc\u4e0a\u968f\u673a\u6e38\u8d70\u7684\u7c92\u5b50\u3002\u4f7f\u7528 GRU \u4e0e GNN \u7684\u7ec4\u5408\u6765\u5b66\u4e60\u96fe\u973e\u7684\u52a8\u529b\u5b66\u7279\u5f81\u3002\u5176\u4e2d\uff0cGRU\u7684 cell \u5b58\u50a8\u548c\u9057\u5fd8\u95e8\u522b\u5efa\u6a21\u6c61\u67d3\u7269\u7684\u7d2f\u79ef\u4e0e\u7ad6\u76f4\u65b9\u5411\u4e0a\u7684\u6d88\u6563\uff0cGNN \u7684\u6d88\u606f\u4f20\u9012\u4e0e\u90bb\u5c45\u6c47\u805a\u5206\u5efa\u6a21\u6c61\u67d3\u7269\u5728\u98ce\u5f71\u54cd\u4e0b\u7684\u4f20\u64ad\u3002\u540c\u65f6\uff0c\u672c\u6587\u53d1\u5e03\u4e86 PM2.5 \u5927\u89c4\u6a21\u6570\u636e\u96c6 KnowAir\u3002\u901a\u8fc7\u5927\u91cf\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u6a21\u578b\u7684\u51c6\u786e\u6027\uff0c\u8fbe\u5230\u4e86 state-of-the-art\uff0c\u5e76\u4e14\u5f00\u6e90\u4ee3\u7801\u3002<\/span><\/p>\n


<\/p>\n

\u8bba\u6587\u4f5c\u8005\uff1a<\/span><\/strong>
<\/span><\/section>\n<\/section>\n

Shuo Wang\uff0cYanran Li\uff0cJiang Zhang\uff0cQingye Meng\uff0cLingwei Meng\uff0cFei Gao<\/span><\/p>\n


<\/p>\n

\u4e3b\u8bb2\u4eba\uff1a<\/span><\/strong><\/p>\n

\u738b\u7855<\/span>\uff0c<\/span>\u4e1c\u5317\u5927\u5b66\u6a21\u5f0f\u8bc6\u522b\u4e0e\u667a\u80fd\u7cfb\u7edf\u7855\u58eb\uff0c\u524d\u5f69\u4e91\u5929\u6c14\u7b97\u6cd5\u5de5\u7a0b\u5e08<\/span>\uff0c\u7814\u7a76\u65b9\u5411\u4e3a<\/span>\u56fe\u795e\u7ecf\u7f51\u7edc\u3001\u96fe\u973e\u9884\u62a5\u3001\u7f51\u7edc\u91cd\u6784\u3002<\/span><\/p>\n<\/section>\n<\/section>\n


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


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

\u7f16\u8f91\uff1a\u5f20\u723d<\/p><\/blockquote>\n

\n
\n
\n
\n
\n
\n
\n
\n
\n
\n


<\/p>\n


<\/p>\n

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

\u9884\u8d2d\u5f55\u64ad\uff0c\u65e0\u9650\u56de\u770b<\/strong><\/span><\/p>\n

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


<\/p>\n

\u9519\u8fc7\u76f4\u64ad\u600e\u4e48\u529e\uff1f\u610f\u72b9\u672a\u5c3d\u600e\u4e48\u529e\uff1f<\/span>\u4e0d\u8981\u62c5\u5fc3\uff0c\u5f55\u64ad\u5730\u5740\u5df2\u7ecf\u653e\u51fa<\/span>\u3002<\/span><\/p>\n


<\/p>\n

\u9884\u8d2d\u8bfe\u7a0b\u5f55\u64ad\uff0c\u4e09\u4e2a\u5de5\u4f5c\u65e5\u540e\u5373\u53ef\u56de\u770b\u526a\u8f91\u7248\u672c\u3002<\/span><\/p>\n


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

<\/section>\n

https:\/\/campus.swarma.org\/mobile\/course\/1573\/?\/from=wechat<\/strong><\/span>
<\/p>\n<\/section>\n<\/section>\n

\n
\n
\n
\n

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


<\/p>\n

\n


<\/p>\n


<\/p>\n

\n
\n
\n
\n
\n
\n

\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

\n

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


<\/p>\n


<\/p>\n

\ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u4e86\u89e3\u66f4\u591a\u8bba\u6587\u4fe1\u606f<\/span><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

\u76f4\u64ad\u9884\u544a 5\u670831\u65e5\uff08\u5468\u65e5\uff0919:00-21:00\uff0c\u96c6\u667a\u590d\u6742\u7cfb\u7edf\u81ea\u52a8\u5efa\u6a21\u8bfb\u4e66\u4f1a\u5c06\u8fdb\u884c\u65b0\u4e00\u671f\u7684\u8bba\u6587\u5206\u4eab\u76f4\u64ad\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u4e0e\u3002 \u57fa\u4e8e\u5730\u7403\u6c14\u5019\u7cfb\u7edf\u7684\u56e0\u679c\u63a8\u65ad \u76f4\u64ad\u5730\u5740\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8 B \u7ad9\u76f4\u64ad\u95f4 \ud83d\udc40\u5173\u6ce8B\u7ad9\u4e3b\u64ad\u201c\u96c6\u667a\u4ff1\u4e50\u90e8\u201d \u4e0d\u9519\u8fc7\u6bcf\u4e00\u573a\u96c6\u667a\u91cd\u78c5\u76f4\u64ad \u76f4\u64ad\u5730\u5740\uff1a https:\/\/live.bilibi…<\/p>\n","protected":false},"author":1,"featured_media":19913,"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\/19917"}],"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=19917"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/19917\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/19913"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19917"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19917"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19917"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=19917"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}