{"id":51907,"date":"2024-08-03T10:28:49","date_gmt":"2024-08-03T02:28:49","guid":{"rendered":"https:\/\/swarma.org\/?p=51907"},"modified":"2024-08-03T10:28:49","modified_gmt":"2024-08-03T02:28:49","slug":"%e5%a4%9a%e5%b0%ba%e5%ba%a6%e8%a7%86%e8%a7%92%e6%8e%a2%e7%b4%a2%e7%94%9f%e5%91%bd%e5%a4%8d%e6%9d%82%e7%b3%bb%e7%bb%9f%e7%9a%84%e6%9e%84%e6%88%90%e5%8e%9f%e7%90%86%ef%bd%9c%e7%94%9f%e5%91%bd%e5%a4%8d","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=51907","title":{"rendered":"\u591a\u5c3a\u5ea6\u89c6\u89d2\u63a2\u7d22\u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u6784\u6210\u539f\u7406\uff5c\u751f\u547d\u590d\u6742\u6027\u8bfb\u4e66\u4f1a\u7b2c\u4e00\u671f"},"content":{"rendered":"
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\u6211\u4eec\u7684\u4eba\u4f53\u7531\u8d85\u8fc730\u591a\u4e07\u4ebf\u7ec6\u80de\u6784\u6210\uff0c\u8fd9\u4e9b\u7ec6\u80de\u5177\u6709\u4e0a\u5343\u79cd\u7ec6\u80de\u7c7b\u578b\uff0c\u529f\u80fd\u5404\u5f02\u3002\u800c\u6211\u4eec\u4eba\u4f53\u7684\u5404\u79cd\u5668\u5b98\uff0c\u5176\u6784\u6210\u7684\u7ec6\u80de\u5f62\u6001\u548c\u529f\u80fd\u4e5f\u6709\u5f88\u5927\u7684\u533a\u522b\u3002\u90a3\u4e48\uff0c\u5668\u5b98\u662f\u5426\u5177\u6709\u666e\u9002\u6027\u7684\u7ec6\u80de\u6784\u6210\u89c4\u5f8b\uff1f\u5e42\u5f8b\u5206\u5e03\u662f\u7cfb\u7edf\u79d1\u5b66\u4e2d\u5e7f\u6cdb\u5b58\u5728\u7684\u5206\u5e03\u7c7b\u578b\uff0c\u65e0\u6807\u5ea6\u7f51\u7edc\u7684\u5ea6\u5206\u5e03\uff0c\u8bed\u8a00\u5b66\u4e2d\u7684Zipf\u5b9a\u5f8b\uff0c\u751f\u7269\u5b66\u4e2d\u7684\u514b\u83b1\u4f2f\u5b9a\u5f8b\uff0c\u90fd\u662f\u5e42\u5f8b\u5206\u5e03\u5728\u4e0d\u540c\u9886\u57df\u7684\u91cd\u8981\u5e94\u7528\u3002\u4eba\u4f53\u7684\u7ec6\u80de\u6784\u6210\u540c\u6837\u5b58\u5728\u7740\u5e42\u5f8b\u5206\u5e03\uff0c\u800c\u4ece\u66f4\u5927\u5c3a\u5ea6\u4e0a\uff0c\u6d77\u6d0b\u7cfb\u7edf\u7684\u6784\u6210\uff0c\u751f\u6001\u7cfb\u7edf\u4e2d\u6355\u98df\u8005\u548c\u72e9\u730e\u8005\u4e4b\u95f4\uff0c\u540c\u6837\u53d7\u5230\u5e42\u5f8b\u5206\u5e03\u7684\u652f\u914d\u3002\u672c\u6b21\u7814\u8ba8\u5c06\u5bf9\u751f\u7269\u7cfb\u7edf\u4e0d\u540c\u5c3a\u5ea6\u4e2d\u7684\u5e42\u5f8b\u5206\u5e03\u8fdb\u884c\u4ecb\u7ecd\uff0c\u5e0c\u671b\u7531\u6b64\u4e3a\u5f15\uff0c\u548c\u5927\u5bb6\u4e00\u8d77\u601d\u8003\u751f\u7269\u7cfb\u7edf\u4e2d\u7684\u666e\u9002\u6027\u6784\u6210\u89c4\u5f8b\u3002<\/span><\/section>\n


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\u6838\u5fc3\u6982\u5ff5<\/span><\/strong><\/span><\/h3>\n

\u8de8\u5c3a\u5ea6<\/span><\/p>\n

\u5e42\u5f8b\u5206\u5e03<\/span><\/p>\n

\u7ec6\u80de\u6784\u6210\u539f\u7406<\/span><\/section>\n


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\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h3>\n
    \n
  1. \n
    Hatton I A, Heneghan R F, Bar-On Y M, et al. The global ocean size spectrum from bacteria to whales[J]. Science advances, 2021, 7(46): eabh3732.<\/span><\/section>\n<\/li>\n
  2. \n
    Hatton I A, Galbraith E D, Merleau N S C, et al. The human cell count and size distribution[J]. Proceedings of the National Academy of Sciences, 2023, 120(39): e2303077120.<\/span><\/section>\n<\/li>\n
  3. \n

    Hatton I A, McCann K S, Fryxell J M, et al. The predator-prey power law: Biomass scaling across terrestrial and aquatic biomes[J]. Science, 2015, 349(6252): aac6284.<\/span><\/p>\n<\/li>\n<\/ol>\n

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


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    \u5206\u4eab\u4e3b\u9898<\/strong><\/span><\/section>\n

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

    \u590d\u6742\u751f\u7269\u8fc7\u7a0b\u4e2d\u5173\u952e\u8282\u70b9<\/strong><\/span><\/strong><\/strong>\u53ca\u5173\u952e\u56e0\u5b50\u68c0\u6d4b<\/strong><\/span><\/strong><\/strong><\/h3>\n

    \u2014\u2014\u57fa\u4e8e\u52a8\u6001\u7f51\u7edc\u6807\u5fd7\u7269\u7684\u590d\u6742\u75be\u75c5\u65e9\u671f\u9884\u6d4b<\/strong><\/span><\/strong><\/strong><\/p>\n


    <\/span><\/strong><\/span><\/h3>\n

    \u4e3b\u8bb2\u4eba<\/span><\/strong><\/span><\/h3>\n
    <\/section>\n
    \u5510\u8bd7\u5a55<\/strong>\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5206\u5b50\u7ec6\u80de\u79d1\u5b66\u5353\u8d8a\u521b\u65b0\u4e2d\u5fc3\u535a\u58eb\u540e\u3002\u672c\u79d1\u5c31\u8bfb\u4e8e\u540c\u6d4e\u5927\u5b66\u751f\u7269\u4fe1\u606f\u5b66\u4e13\u4e1a\uff0c2016\u5e74\u8fdb\u5165\u4e2d\u56fd\u79d1\u5b66\u9662\u5206\u5b50\u7ec6\u80de\u79d1\u5b66\u5353\u8d8a\u521b\u65b0\u4e2d\u5fc3\u9648\u6d1b\u5357\u7814\u7a76\u5458\u8bfe\u9898\u7ec4\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\uff0c2022\u5e747\u6708\u5f00\u59cb\u4ece\u4e8b\u535a\u58eb\u540e\u7814\u7a76\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u5229\u7528\u591a\u7ec4\u5b66\u6570\u636e\u5bf9\u764c\u75c7\u6076\u6027\u8fdb\u5c55\u5206\u5b50\u673a\u5236\u7684\u7814\u7a76\u3002<\/span><\/section>\n


    <\/span><\/strong><\/span><\/h3>\n

    \u5185\u5bb9\u7b80\u4ecb<\/span><\/strong><\/span><\/h3>\n

    \u4f17\u591a\u7684\u8bc1\u636e\u8868\u660e\uff0c \u8bb8\u591a\u590d\u6742\u751f\u7269\u8fc7\u7a0b\u5b58\u5728\u4e00\u79cd\u666e\u904d\u4e34\u754c\uff08critical transition\uff09\u73b0\u8c61\uff0c\u5373\u7531\u4e00\u4e2a\u76f8\u5bf9\u7a33\u5b9a\u72b6\u6001\uff0c\u7ecf\u8fc7\u4e00\u4e2a\u4e34\u754c\u70b9\u540e\u5728\u5f88\u77ed\u7684\u65f6\u95f4\u5185\u5feb\u901f\u5730\u8fdb\u5165\u53e6\u4e00\u4e2a\u7a33\u5b9a\u72b6\u6001\u3002\u5982\u8bb8\u591a\u590d\u6742\u75be\u75c5\u7684\u6076\u6027\u8f6c\u5316\u5c31\u662f\u8fd9\u6837\u4e00\u79cd\u666e\u904d\u73b0\u8c61\uff0c\u5373\u75c5\u60c5\u5728\u5f88\u77ed\u7684\u65f6\u95f4\u5185\u4ece\u6b63\u5e38\u72b6\u6001 \uff08\u5305\u62ec\u5065\u5eb7\u72b6\u6001\u3001 \u76f8\u5bf9\u7a33\u5b9a\u72b6\u6001\u6216\u75be\u75c5\u7684\u7f13\u6162\u53d8\u5316\u72b6\u6001\uff09\uff0c\u7ecf\u8fc7\u4e00\u4e2a\u4e34\u754c\u70b9\u6216\u5173\u952e\u8282\u70b9\u5feb\u901f\u8fdb\u5165\u75be\u75c5\u72b6\u6001\uff08\u5305\u62ec\u75be\u75c5\u6076\u5316\u72b6\u6001\uff09\u3002<\/span><\/p>\n

    \u4e3a\u4e86\u63a2\u6d4b\u8fd9\u79cd\u7a81\u53d8\u73b0\u8c61\u53ca\u5176\u5173\u952e\u56e0\u5b50\uff0c\u52a8\u6001\u7f51\u7edc\u6807\u5fd7\u7269\uff08dynamical network biomarker, DNB\uff09\u88ab\u63d0\u51fa\uff0c\u5373\u5229\u7528\u9ad8\u901a\u91cf\u751f\u7269\u6570\u636e\u7684\u52a8\u6001\u6027\u8d28\u6765\u9884\u6d4b\u590d\u6742\u75be\u75c5\u6216\u590d\u6742\u751f\u7269\u8fc7\u7a0b\u4e34\u754c\u7a81\u53d8\u73b0\u8c61\u53ca\u5176\u5173\u952e\u56e0\u5b50\u7684\u6982\u5ff5\u548c\u7406\u8bba\u3002\u4e0d\u540c\u4e8e\u4f20\u7edf\u7684\u3001\u4e3b\u8981\u7528\u4e8e\u68c0\u6d4b\u75be\u75c5\u72b6\u6001\u7684\u5206\u5b50\u751f\u7269\u6807\u5fd7\u7269\uff0c DNB \u662f\u4e00\u79cd\u5168\u65b0\u7684\u3001\u7528\u4e8e\u63a2\u6d4b\u75be\u75c5\u7a81\u53d8\u524d\u4e34\u754c\u4fe1\u53f7\u7684\u751f\u7269\u6807\u5fd7\u7269\uff0c\u5373\u68c0\u6d4b\u201c\u524d\u75be\u75c5\u72b6\u6001\u201d\u800c\u4e0d\u662f\u201c\u75be\u75c5\u72b6\u6001\u201d\u6216\u201c\u75be\u75c5\u65e9\u671f\u72b6\u6001\u201d\u3002<\/span><\/p>\n

    DNB \u5177\u6709\u8bf8\u591a\u7684\u4f18\u70b9\u7279\u5f81\uff1a\u9996\u5148\uff0c \u4e0d\u9700\u8981\u5efa\u7acb\u4efb\u4f55\u6a21\u578b\uff0c\u662f\u4e00\u4e2a model-free \u7684\u65b9\u6cd5\uff1b\u7b2c\u4e8c\uff0c DNB \u53ef\u4ee5\u5c0f\u6837\u672c\u6761\u4ef6\u4e0b\u83b7\u5f97\u75be\u75c5\u7a81\u53d8\u524d\u7684\u9884\u8b66\u4fe1\u53f7\uff1b\u7b2c\u4e09\uff0cDNB \u662f\u7a81\u7834\u7a33\u5b9a\u72b6\u6001\u9996\u5148\u8fdb\u5165\u75be\u75c5\u72b6\u6001\u7684\u4e3b\u5bfc\u5206\u5b50\u7fa4\u6216\u751f\u7269\u5206\u5b50\u7684\u5b50\u7f51\u7edc\uff0c \u5373\u4e3a\u75be\u75c5\u7684\u4e3b\u5bfc\u5206\u5b50\u7fa4\u6216\u5173\u952e\u7f51\u7edc\u800c\u4e0d\u662f\u75be\u75c5\u6240\u5f71\u54cd\u7684\u5206\u5b50\u7fa4\uff0c \u56e0\u6b64\u5177\u6709\u975e\u5e38\u91cd\u8981\u7684\u751f\u7269\u5b66\u610f\u4e49\u3002<\/span><\/section>\n


    <\/span><\/h3>\n

    \u6838\u5fc3\u6982\u5ff5<\/span><\/strong><\/span><\/h3>\n

    \u590d\u6742\u75be\u75c5<\/span><\/p>\n

    \u52a8\u6001\u7f51\u7edc\u6807\u5fd7\u7269\uff08 DNB\uff09<\/span><\/p>\n

    \u9884\u8b66\u4fe1\u53f7<\/span><\/p>\n

    \u524d\u75be\u75c5\u72b6\u6001<\/span><\/p>\n

    \u4e34\u754c\u70b9<\/span><\/section>\n


    <\/span><\/h3>\n

    \u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/h3>\n

    1. Chen, L., Liu, R., Liu, Z. P., Li, M. & Aihara, K. Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers. Sci Rep<\/em> 2<\/strong>, 342, doi:10.1038\/srep00342 (2012).<\/span><\/p>\n

    2. Liu, R., Wang, X., Aihara, K. & Chen, L. Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers. Medicinal research reviews<\/em> 34<\/strong>, 455-478, doi:https:\/\/doi.org\/10.1002\/med.21293 (2014).<\/span><\/p>\n

    3. Yang, B. et al.<\/em> Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma. Nature communications<\/em> 9<\/strong>, 678, doi:10.1038\/s41467-018-03024-2 (2018).<\/span><\/p>\n

    4. Fang, Z. et al.<\/em> Oxidative stress-triggered Wnt signaling perturbation characterizes the tipping point of lung adeno-to-squamous transdifferentiation. Signal transduction and targeted therapy<\/em> 8<\/strong>, 16, doi:10.1038\/s41392-022-01227-0 (2023).<\/span><\/section>\n
    <\/span><\/section>\n

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    \u5206\u4eab\u4e3b\u9898<\/strong><\/span><\/section>\n

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

    \u6d45\u8c08\u7edf\u8ba1\u7269\u7406\u89c6\u89d2\u4e0b\u7684\u751f\u547d\u79d1\u5b66\u7814\u7a76<\/strong><\/span><\/strong><\/strong><\/span><\/h3>\n


    <\/span><\/strong><\/span><\/h3>\n

    \u4e3b\u8bb2\u4eba<\/span><\/strong><\/span><\/h3>\n
    <\/section>\n
    \u5510\u4e7e\u5143<\/strong>\uff0c\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u52a9\u7406\u6559\u6388\uff0c\u96c6\u667a\u79d1\u5b66\u5bb6\uff0c\u96c6\u667a-\u51ef\u98ce\u7814\u8bfb\u8425\u5b66\u8005\u3002\u5357\u4eac\u5927\u5b66\u7269\u7406\u5b66\u535a\u58eb\uff0c\u66fe\u662f\u662f\u65e5\u672c\u7406\u5316\u5b66\u7814\u7a76\u6240\u535a\u58eb\u540e\u3002\u7814\u7a76\u65b9\u5411\uff1a\u6570\u636e\u9a71\u52a8\u7684\u590d\u6742\u7cfb\u7edf\u7814\u7a76\uff1b\u751f\u7269\u533b\u5b66\u9886\u57df\u7684\u4eba\u5de5\u667a\u80fd\uff1b\u86cb\u767d\u8d28\u8fdb\u5316\u548c\u52a8\u529b\u5b66\uff1b\u751f\u7269\u7cfb\u7edf\u7684\u590d\u6742\u6027\u548c\u4e34\u754c\u6027\u3002<\/span><\/section>\n


    <\/span><\/strong><\/span><\/h3>\n

    \u5185\u5bb9\u7b80\u4ecb<\/span><\/strong><\/span><\/h3>\n
    \u7406\u89e3\u751f\u547d\u6d3b\u52a8\u4e2d\u7684\u666e\u904d\u673a\u5236\u662f\u751f\u7269\u5b66\u7814\u7a76\u7684\u57fa\u672c\u76ee\u6807\u3002\u968f\u7740\u5b9a\u91cf\u751f\u7269\u5b66\u7684\u53d1\u5c55\u548c\u6d77\u91cf\u751f\u7269\u6570\u636e\u7684\u4e0d\u65ad\u79ef\u7d2f\uff0c\u79d1\u5b66\u5bb6\u4eec\u8d8a\u6765\u8d8a\u9700\u8981\u80fd\u4e3a\u9610\u660e\u8fd9\u4e9b\u666e\u904d\u7279\u6027\u63d0\u4f9b\u6307\u5bfc\u539f\u5219\u7684\u6a21\u578b\u548c\u65b9\u6cd5\u3002\u5728\u672c\u6b21\u8bfb\u4e66\u4f1a\u4e2d\uff0c\u6211\u5c06\u4ecb\u7ecd\u7edf\u8ba1\u7269\u7406\u5b66\u548c\u590d\u6742\u7cfb\u7edf\u7684\u6838\u5fc3\u6982\u5ff5\uff0c\u5e0c\u671b\u80fd\u591f\u4e3a\u751f\u7269\u5b66\u5bb6\u4eec\u63d0\u4f9b\u5b9a\u91cf\u5206\u6790\u7684\u6846\u67b6\uff0c\u5f3a\u8c03\u4e3a\u4f55\u8fd9\u4e9b\u65b9\u6cd5\u548c\u5de5\u5177\u53ef\u4ee5\u88ab\u5e94\u7528\u4e8e\u751f\u547d\u79d1\u5b66\u7814\u7a76\u3002\u6211\u8fd8\u5c06\u901a\u8fc7\u5177\u4f53\u7684\u5b9e\u4f8b\u5c55\u793a\u7edf\u8ba1\u7269\u7406\u7684\u65b9\u6cd5\u600e\u6837\u7528\u4e8e\u63cf\u8ff0\u751f\u547d\u7cfb\u7edf\uff0c\u5e76\u4ee5\u6b64\u4e3a\u4f8b\u63a2\u8ba8\u590d\u6742\u7cfb\u7edf\u7684\u666e\u9002\u6027\u95ee\u9898\u3001\u8de8\u5c3a\u5ea6\u95ee\u9898\u3001\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u7ea6\u675f\u548c\u6709\u6548\u81ea\u7531\u5ea6\u3001\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u5c40\u90e8\u76f8\u4e92\u4f5c\u7528\u548c\u5168\u5c40\u76f8\u5173\u6027\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6211\u8fd8\u5c06\u5c55\u671b\u7269\u7406\u6a21\u578b\u53ef\u4ee5\u600e\u6837\u5e2e\u52a9\u6574\u5408\u548c\u89e3\u91ca\u591a\u7ec4\u5b66\u6570\u636e\uff0c\u5c55\u793a\u8de8\u5b66\u79d1\u5408\u4f5c\u7684\u6f5c\u529b\u3002<\/span><\/section>\n


    <\/span><\/h3>\n

    \u6838\u5fc3\u6982\u5ff5<\/strong><\/span><\/h3>\n

    \u666e\u9002\u6027 Universality<\/span><\/p>\n

    \u591a\u5c3a\u5ea6 Multiscale<\/span><\/p>\n

    \u7a33\u5b9a\u6027\u4e0e\u53ef\u5851\u6027 Stability and plasticity<\/span><\/p>\n

    \u4e34\u754c\u6027 Criticality<\/span><\/p>\n

    \u8fdb\u5316\u964d\u7ef4 Evolutionary dimensional reduction<\/span><\/section>\n


    <\/span><\/h3>\n

    \u53c2\u8003\u6587\u732e<\/strong><\/span><\/h3>\n
      \n
    1. \n

      Kaneko, K. (2024). Constructing universal phenomenology for biological cellular systems: an idiosyncratic review on evolutionary dimensional reduction. Journal of Statistical Mechanics: Theory and Experiment<\/em>, 2024<\/em>(2), 024002.<\/span><\/p>\n<\/li>\n

    2. \n

      Kaneko, K., & Furusawa, C. (2018). Macroscopic theory for evolving biological systems akin to thermodynamics. Annual review of biophysics<\/em>, 47<\/em>(1), 273-290.<\/span><\/p>\n<\/li>\n

    3. \n

      Tang, Q. Y., & Kaneko, K. (2021). Dynamics-evolution correspondence in protein structures. Physical review letters<\/em>, 127<\/em>(9), 098103.<\/span><\/p>\n<\/li>\n

    4. \n
      Tang, Q. Y., Zhang, Y. Y., Wang, J., Wang, W., & Chialvo, D. R. (2017). Critical fluctuations in the native state of proteins. Physical review letters<\/em>, 118<\/em>(8), 088102.<\/span><\/section>\n<\/li>\n<\/ol>\n

      <\/span><\/section>\n
      \u76f8\u5173\u6587\u7ae0\uff1a<\/span><\/section>\n
      \u4e3a\u4ec0\u4e48\u86cb\u767d\u8d28\u517c\u5177\u53ef\u5851\u6027\u4e0e\u7a33\u5b9a\u6027\uff1f\u4ece\u8fdb\u5316\u89c6\u89d2\u63ed\u793a\u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u5185\u5728\u5e73\u8861<\/span><\/a><\/section>\n
      \u86cb\u767d\u8d28\u7684\u52a8\u529b\u5b66\u548c\u8fdb\u5316\u4e4b\u95f4\u7684\u5bf9\u5e94\u5173\u7cfb\uff1a\u4e24\u4e2a\u4e0d\u540c\u65f6\u95f4\u5c3a\u5ea6\u4e0b\u7684\u76f8\u540c\u6545\u4e8b<\/span><\/a><\/section>\n
      <\/span><\/section>\n

      <\/section>\n

      \u4e3b\u6301\u4eba<\/span><\/strong><\/span><\/h2>\n
      <\/section>\n
      \u5e38\u4e58<\/strong>\uff0c\u56fd\u5bb6\u86cb\u767d\u8d28\u79d1\u5b66\u4e2d\u5fc3\uff08\u5317\u4eac\uff09\u526f\u7814\u7a76\u5458\uff0c\u4e2d\u56fd\u751f\u7269\u4fe1\u606f\u5b66\u5b66\u4f1a\uff08\u7b79\uff09\u751f\u7269\u6570\u636e\u8d44\u6e90\u4e13\u59d4\u4f1a\u59d4\u5458\uff0c\u957f\u671f\u4ece\u4e8b\u8ba1\u7b97\u86cb\u767d\u8d28\u7ec4\u5b66\u53ca\u751f\u7269\u4fe1\u606f\u5b66\u7814\u7a76\uff0c\u5f62\u6210\u4e86\u5177\u6709\u81ea\u4e3b\u77e5\u8bc6\u4ea7\u6743\u7684\u5927\u89c4\u6a21\u86cb\u767d\u8d28\u7ec4\u6570\u636e\u7cbe\u51c6\u89e3\u6790\u6d41\u7a0b\u548c\u76f8\u5e94\u7b97\u6cd5\u3001\u8f6f\u4ef6\u30022010\u5e74\u6bd5\u4e1a\u4e8e\u6e56\u5357\u5927\u5b66\u7535\u5b50\u4fe1\u606f\u5de5\u7a0b\u4e13\u4e1a\u83b7\u5f97\u5de5\u5b66\u5b66\u58eb\u5b66\u4f4d\uff0c2015\u5e74\u4ece\u56fd\u5bb6\u86cb\u767d\u8d28\u79d1\u5b66\u4e2d\u5fc3\u535a\u58eb\u6bd5\u4e1a\u83b7\u7406\u5b66\u535a\u58eb\u5b66\u4f4d\u3002\u66fe\u83b72020\u5e74\u4e2d\u56fd\u53d1\u660e\u534f\u4f1a\u53d1\u660e\u521b\u65b0\u5956\u4e00\u7b49\u5956\uff08\u6392\u540d\u7b2c4\uff09\uff0cH-index 20\u3002<\/span><\/section>\n
      \u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/orcid.org\/0000-0002-0361-2438<\/span><\/section>\n

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

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

      \n
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      <\/svg><\/section>\n<\/section>\n<\/section>\n
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      \u53c2\u4e0e\u65b9\u5f0f<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

      \n

      <\/section>\n

      <\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


      <\/p>\n

      \u65f6\u95f4\uff1a<\/strong>2024\u5e748\u67086\u65e5\uff08\u5468\u4e8c\uff09\u665a19:00-22:00<\/span><\/section>\n
      \u76f4\u64ad\u4fe1\u606f\uff1a
      <\/strong><\/span><\/section>\n
      <\/mp-common-videosnap><\/section>\n

      <\/strong><\/span><\/section>\n
      \u62a5\u540d\u53c2\u4e0e\u8bfb\u4e66\u4f1a\uff1a<\/strong><\/span><\/section>\n
      <\/section>\n
      \u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/study_group_issue\/726?from=wechat<\/span><\/span><\/section>\n

      <\/span><\/section>\n
      \u626b\u7801\u53c2\u4e0e\u300c\u751f\u547d\u590d\u6742\u6027\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u52a0\u5165\u751f\u547d\u590d\u6742\u6027\u793e\u533a\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8\u8fd9\u4e00\u524d\u6cbf\u9886\u57df\u7684\u53d1\u5c55\u3002<\/span><\/section>\n

      <\/section>\n

      <\/span><\/strong><\/span><\/section>\n
      \u62a5\u540d\u6210\u4e3a\u4e3b\u8bb2\u4eba<\/strong><\/span><\/section>\n
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      <\/span><\/strong><\/span><\/section>\n

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      \n
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      \u751f\u547d\u590d\u6742\u6027\u8bfb\u4e66\u4f1a\uff1a<\/strong><\/p>\n

      \u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u6784\u6210\u539f\u7406<\/strong>
      <\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


      <\/section>\n

      \u5728\u751f\u7269\u5b66\u4e2d\u5fc3\u6cd5\u5219\u7684\u8d77\u70b9\uff0c\u57fa\u56e0\u4f5c\u4e3a\u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u9057\u4f20\u4fe1\u606f\u8f7d\u4f53\uff0c\u5728\u751f\u547d\u5468\u671f\u5185\u7a33\u5b9a\u5b58\u5728\uff1b\u800c\u4f4d\u4e8e\u4e2d\u5fc3\u6cd5\u5219\u672b\u7aef\u7684\u86cb\u767d\u8d28\uff0c\u5176\u7ec4\u7ec7\u6784\u6210\u548c\u65f6\u7a7a\u53d8\u5316\u7684\u590d\u6742\u6027\u5448\u6307\u6570\u5f0f\u589e\u957f\u3002\u968f\u7740\u5206\u5b50\u751f\u7269\u5b66\u6570\u5341\u5e74\u6765\u7684\u7a81\u98de\u731b\u8fdb\uff0c\u5c24\u5176\u662f\u751f\u547d\u7ec4\u5b66\uff08\u57fa\u56e0\u7ec4\u5b66\u3001\u8f6c\u5f55\u7ec4\u5b66\u3001\u86cb\u767d\u8d28\u7ec4\u5b66\u548c\u4ee3\u8c22\u7ec4\u5b66\u7b49\u7684\u96c6\u5408\uff09\u7b49\u9886\u57df\u7684\u65e5\u65b0\u6708\u5f02\uff0c\u5f53\u4ee3\u751f\u547d\u79d1\u5b66\u4e34\u8fd1\u7206\u53d1\u7684\u8fb9\u7f18\u3002\u5982\u6b64\u6d77\u91cf\u7684\u6570\u636e\u5982\u4f55\u5e2e\u52a9\u6211\u4eec\u63ed\u793a\u5b87\u5b99\u4e2d\u6700\u590d\u6742\u7684\u7269\u8d28\u7cfb\u7edf\u2014\u2014\u201c\u4eba\u4f53\u201d\u7684\u6784\u6210\u539f\u7406\u548c\u8bbe\u8ba1\u539f\u7406\uff1f\u9610\u91ca\u4eba\u7c7b\u53d1\u80b2\u3001\u8870\u8001\u548c\u91cd\u5927\u75be\u75c5\u7684\u53d1\u751f\u673a\u5236\uff1f<\/span><\/p>\n


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

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      <\/p>\n

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

      <\/span><\/section>\n
      \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
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      <\/section>\n

      <\/section>\n

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