Showing 81 - 100 results of 175 for search '"Henan province"', query time: 0.08s Refine Results
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    Application and comparison of five risk assessment methods in ferrous metal foundry enterprises with silica dust concentration exceeding the limit posts by Qimeng Li, Xiaoying Li, Ge Qin, Yuanmeng Qi, Jie Liu, Xiaocui Tang, Di Wu, Changfu Hao, Sihua Wang

    Published 2025-02-01
    “…BackgroundExplore methods to accurately reflect the risk level of ferrous metal foundry workplaces when the silica dust concentration exceeds the limit, and provide a basis for the application of risk assessment techniques in key industries with occupational exposure to silica dust.MethodsThe survey was conducted in 25 ferrous metal casting industries in Henan Province, China. Five occupational health risk assessment (OHRA) methods, including Risk index method, Hazard grading method, International Council on Mining and Metals model, The synthesis index method, and The exposure ratio method, were used to assess the occupational health risk of the workplaces that produced silica dust and the concentration of silica dust exceeded the occupational exposure limits (OELs), and to compare the results of the different methods.ResultsThe risk index assessment method yielded one job of mild hazard, seven job of moderate hazard, fifteen jobs of high hazard, and forty-four jobs of extreme hazard. …”
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    Surveillance of SARS-CoV-2 variants in Henan, China from 2023 to 2024 by Yun Song, Bicong Wu, Hongxia Ma, Yafei Li, Su Yan, Jingjing Pan, Haifeng Wang, Ying Ye, Xueyong Huang, Wanshen Guo

    Published 2025-02-01
    “…To manage the pandemic effectively, Henan Province launched a surveillance program for SARS-CoV-2 variants, systematically analyzing their clinical characteristics and epidemiological patterns.MethodsThis study collected genomic sequence data from 5,965 COVID-19 cases between January 1, 2023, and March 17, 2024, using the Henan Province SARS-CoV-2 variant surveillance system. …”
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    Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis by Kou Y, Tian Y, Ha Y, Wang S, Sun X, Lv S, Luo B, Yang Y, Qin L

    Published 2025-01-01
    “…Yanqi Kou,1,2,* Yuan Tian,2,3,* Yanping Ha,2,3,* Shijie Wang,1,* Xiaobai Sun,1 Shuxin Lv,1 Botao Luo,2,3 Yuping Yang,2 Ling Qin1 1Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People’s Republic of China; 2Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang City, Guangdong Province, People’s Republic of China; 3Department of Pathology, Guangdong Medical University, Zhanjiang City, Guangdong Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuping Yang, Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, No. 2 Wenming East Road, Xiashan, Zhanjiang, Guangdong, 524000, People’s Republic of China, Email yangyupingchn@163.com Ling Qin, Department of Hematology, The First Affiliated Hospital and College of Clinical Medicine, Henan University of Science and Technology, 24 Jinghua Road, Jianxi District, Luoyang, Henan Province, 471003, People’s Republic of China, Email zzqq777@126.comBackground: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. …”
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