Showing 1,521 - 1,540 results of 1,834 for search '"Shenzhen"', query time: 0.06s Refine Results
  1. 1521

    Wind Structure of a Subtropical Squall Line in China: Results from Dual-Doppler Radar Data by Haiguang Zhou

    Published 2016-01-01
    “…The three-dimensional (3D) wind field of the squall line in its mature period was retrieved by Guangzhou-Shenzhen dual-Doppler data. The 3D conceptual model of this squall line was proposed. …”
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  2. 1522

    How charitable giving affects litigation duration? Empirical evidence from China. by Feng Zhu

    Published 2024-01-01
    “…This paper utilizes litigation and arbitration data from A-share listed companies in Shanghai and Shenzhen from 2008 to 2021 to investigate the impact and mechanism of charitable donations on the litigation duration of listed companies. …”
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  3. 1523
  4. 1524

    A Hybrid Approach by Integrating Brain Storm Optimization Algorithm with Grey Neural Network for Stock Index Forecasting by Yanqiu Sun

    Published 2014-01-01
    “…Experimental results from the Shanghai Stock Exchange (SSE) Composite Index, the Shenzhen Composite Index, and the HuShen 300 Index opening price forecasting show that the proposed BSO-GNN model is effective and robust in the stock index forecasting and superior to the individual GNN model.…”
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    The origin and transmission of HIV-1 CRF80_0107 among two major first-tier cities in China by Xiaorui Wang, Bo Zhu, Hanping Li, Jingwan Han, Xiaolin Wang, Lei Jia, Bohan Zhang, Jingyun Li, Linding Wang, Yongjian Liu, Hongling Wen, Lin Li

    Published 2025-01-01
    “…The study also found that the number of cases in Guangdong Province was second only to that in Beijing and formed 2 relatively independent transmission clusters in the MSM population in Shenzhen, Guangdong Province. Conclusions The HIV-1 CRF80_0107 strain has spread to cities beyond its origin, particularly the MSM population in Shenzhen city, Guangdong Province, which is an area with a high incidence of HIV. …”
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    Risk of All-Cause Mortality in Mild Chronic Obstructive Pulmonary Disease: Evidence From the NHANES III and 2007–2012 by Zou W, Ou J, Wu F, Xiao S, Deng Z, Li H, Wang Z, Tang G, Liu S, Ye D, Zhu D, Hu J, Ran P

    Published 2025-01-01
    “…Weifeng Zou,1,2,* Jie Ou,1,2,* Fan Wu,3,4,* Shan Xiao,5 Zhishan Deng,3 Haiqing Li,3 Zihui Wang,3 Gaoying Tang,3 Shuling Liu,1 Dong Ye,6 Dongshuang Zhu,2 Jinxing Hu,1 Pixin Ran3,4 1State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, People’s Republic of China; 2Department of Pulmonary and Critical Care Medicine, Shufu County People’s Hospital, Kashgar region, Xinjiang, People’s Republic of China; 3State 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; 4Guangzhou National Laboratory, Guangzhou, People’s Republic of China; 5Department of Pulmonary and Critical Care Medicine, Shenzhen Longgang District Central Hospital, Shenzhen, People’s Republic of China; 6Department of Internal Medicine, Guangdong Province Second People’s Hospital, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Fan Wu; Pixin Ran, State Key Laboratory of Respiratory Disease & Guangzhou Institute of Respiratory Health & National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Disease & The First Affiliated Hospital of Guangzhou Medical University, 195 Dongfeng Xi Road, Guangzhou, 510120, People’s Republic of China, Email wu.fan@vip.163.com; pxran@gzhmu.edu.cnBackground: It is unclear whether patients with Global Initiative for Chronic Obstructive Lung Disease stage 1 (mild) chronic obstructive pulmonary disease (COPD) have a higher risk of all-cause mortality than participants with normal spirometry results.Methods: We used the data from the National Health and Nutrition Examination Survey (NHANES) III and 2007– 2012, which included participants aged 20– 79 years, to investigate whether patients with mild COPD (whole population and subgroups) have a higher risk of all-cause mortality than participants with normal spirometry. …”
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