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Federal support, public-private partnerships drive focus of workforce summit in New Orleans

Federal support, public-private partnerships drive focus of workforce summit in New Orleans
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United statesDavid wachtelRobert steeleBeth cappelloTroya carterCalvin mackieGregory uptonMichael hechtPatrick blairMary davieReynold verretXavier universityBiden administrationGreater new orleans incNational world war ii museumDepartment of homeland security

麻省理工博士蝉联金奖！对话阿里全球数学竞赛5位 学霸 —新闻—科学网

麻省理工博士蝉联金奖！对话阿里全球数学竞赛5位 学霸 —新闻—科学网
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United statesEnd of the worldRepublic ofXu yangFrance generalMassachusetts institute of technologyLong fangAli babaStanford berkeleyXuming taoUnited states california university los angelesCalifornia university berkeleyUnited states california university berkeleyXian jiaotong universityForest xu yanga universityXian jiaotong university junior

副教授研究 女干部傲娇 ，也是一种性别偏见 - 辣眼时评

副教授研究 女干部傲娇 ，也是一种性别偏见 - 辣眼时评
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Research itProfessor researchOffice herAssociate professor research

新京報：副教授研究 女幹部傲嬌 ，也是一種性別偏見

　　原標題：副教授研究“女幹部傲嬌”，也是一種性別偏見 | 新京報快評 　　對“女性幹部傲嬌”的描述，不過是一種既有環境下的刻板印象罷了，對此顯然不需要什麼所謂的“矯正措施”。 ▲《女性幹部傲嬌的典型表現與矯治策略》論文截圖。圖/維普期刊截.

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研究：一种旨在预测败血症的医院算法遗漏了大多数病例

美国最大的电子健康记录公司Epic Systems声称它可以解决医院的一个主要问题：识别败血症的迹象，这是一种通常致命的感染并发症，可导致器官衰竭。这是医院患者的一个主要死因。 但根据周一发表在《美国医学会杂志-内科学》(JAMA Internal Medicine)上的一项新研究，该算法并不像宣传的那样好用。Epic说它的警报系统在76%的情况下能正确区分有和没有败血症的病人。新研究发现它只有63%的时间是正确的。 Epic Systems公司的一位发言人在给Stat News的一份声明中对这一发现提出异议，说其他研究表明该算法是准确的。 该研究检查了密歇根医学中心2018年和2019年近4万次住院的数据。在这些住院病人中，有2552人患上了败血症。Epic的败血症工具遗漏了其中的1709个病例，其中约三分之二的病例仍被识别并迅速治疗。它只发现了7%被医生遗漏的败血症病例。分�

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