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    Short-Term Inbound and Outbound Passenger Flow Prediction for New Metro Stations Based on Clustering and Deep Learning by Zihe Wang, Yongsheng Zhang, Enjian Yao, Yue Wang, Juncheng Li, Jiantao He

    Published 2023-01-01
    “…In order to solve the above problems, this paper proposes a short-term inbound and outbound passenger flow prediction model for new metro stations at the early stage of operation by combining the K-means clustering algorithm, an improved spatiotemporal long short-term memory model (Sp-LSTM), and a real-time feedback error model (mean absolute error, MAE), where passenger flows’ spatial-temporal characteristics and land-use relevance are considered. The application in Guangzhou Metro, China, where Line 21 is regarded as a new line, shows that the proposed K-Sp-LSTM model has the best prediction accuracy compared with traditional methods.…”
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    Risk of All-Cause Mortality in US Adults With Preserved Ratio Impaired Spirometry: An Observational Study by Xiao S, Ou J, Qiu W, Ye C, Li N, Chen S, Lai Y, Deng Z, Wu F, Shen Y

    Published 2025-02-01
    “…Shan Xiao,1,&ast; Jie Ou,2,&ast; Wangli Qiu,3,&ast; Chunxin Ye,1 Na Li,1 Sida Chen,1 Yuting Lai,1 Zhishan Deng,4 Fan Wu,4 Yan Shen1 1Department of Pulmonary and Critical Care Medicine, Shenzhen Longgang District Central Hospital, Shenzhen, People’s Republic of China; 2State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, People’s Republic of China; 3Department of Respiratory and Critical Care Medicine, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, People’s Republic of China; 4State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yan Shen, Email drshenyan2022@163.com Fan Wu, Email wu.fan@vip.163.comBackground: Preserved ratio impaired spirometry (PRISm) is defined as forced expiratory volume in one second (FEV1)/forced vital capacity (FVC)≥ 0.70 and FEV1< 80% predicted. …”
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