Showing 181 - 200 results of 245 for search '"Jiading District"', query time: 0.13s Refine Results
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    Analysis of the association of MIR124-1 and its target gene RGS4 polymorphisms with major depressive disorder and antidepressant response by Zeng D, He S, Yu S, Li G, Ma C, Wen Y, Shen Y, Yu Y, Li H

    Published 2018-03-01
    “…Duan Zeng,1,* Shen He,1,* Shunying Yu,1 Guanjun Li,1 Changlin Ma,2 Yi Wen,2 Yifeng Shen,1 Yimin Yu,1 Huafang Li1,3 1Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 2Shanghai Jiading District Mental Health Center, Shanghai, People’s Republic of China; 3Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China *These authors contributed equally to this work Background: Increasing evidence has indicated that dysfunction of miR-124 and target gene regulator of G protein signaling 4 (RGS4) may be involved in the etiology and treatment of major depressive disorder (MDD). …”
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    Development and Validation of a Risk Score Screening Tool to Identify People at Risk for Hypertension in Shanghai, China by Jiang Q, Gong D, Li H, Zhang D, Hu S, Xia Q, Yuan H, Zhou P, Zhang Y, Liu X, Sun M, Lv J, Li C

    Published 2022-03-01
    “…Qiyun Jiang,1,2 Dan Gong,1,2 Huiqi Li,3 Donglan Zhang,4 Suzhen Hu,5 Qinghua Xia,6 Hong Yuan,7 Peng Zhou,6 Yiying Zhang,7 Xing Liu,8 Mei Sun,1,2 Jun Lv,1,2 Chengyue Li1,2 1Department of Health Policy and Management, School of Public Health, Fudan University, Shanghai, People’s Republic of China; 2Research Institute of Health Development Strategies, Fudan University, Shanghai, People’s Republic of China; 3School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden; 4Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, USA; 5Department of Medical Affairs, Liaocheng People’s Hospital, Liaocheng, People’s Republic of China; 6Department of Chronic Disease Prevention and Control, Changning District Center for Disease Control and Prevention, Shanghai, People’s Republic of China; 7Department of Chronic Disease Prevention and Control, Jiading District Center for Disease Control and Prevention, Shanghai, People’s Republic of China; 8Department of Epidemiology, School of Public Health, Fudan University, Shanghai, People’s Republic of ChinaCorrespondence: Chengyue Li; Jun Lv, Department of Health Policy and Management, School of Public Health, Fudan University, P.O. …”
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    Space Association Features of Domestic Tourist Flow Network in the Shanghai Metropolitan Area by Yan Shanshan, Zhang Heqing, Jin Chen

    Published 2021-11-01
    “…Simultaneously, according to the comparative analysis of degree centrality and intermediary centrality, Shanghai tourism nodes, t could be categorized into four types: agglomeration, diffusion, equilibrium, and intermediary. (2) SMA presented a "single-core radial" spatial distribution pattern with Huangpu District at its center, and Huangpu District as the spatial diffusion source, with the mainstream diffusion directions of southwest (central Huangpu District-Songjiang District), southeast (central Huangpu District-Pudong New Area), northwest (central Huangpu District-Jiading District), and a few tourist flows spreading from central Huangpu District to Baoshan District and Chongming County in the north. (3) The topological structure of the Shanghai urban tourist flow network was characterized by low connection, strong diffusion, and balanced distribution. …”
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    Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study by Tao Wang, Zhitong Zhou, Longbing Ren, Zhiping Shen, Jue Li, Lijuan Zhang

    Published 2024-12-01
    “…AbstractObjective We conducted a community-based cohort study to predict the 3-year occurrence of chronic kidney disease (CKD) among population aged ≥60 years.Method Participants were selected from two communities through randomized cluster sampling in Jiading District of Shanghai, China. The two communities were randomly divided into a development cohort (n = 12012) and a validation cohort (n = 6248) with a 3-year follow-up. …”
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    Spatial and Temporal Distribution Characteristics of Ozone Concentration and Source Analysis during the COVID-19 Lockdown Period in Shanghai by Shinan Shen, Li He, Wanqi Chen, Shuang Chen, Weichun Ma

    Published 2023-10-01
    “…When excluding the impact of long-range transport, the main areas contributing to O<sub>3</sub> formation from local sources are Baoshan District, Jiading District, Qingpu District, and Chongming District, accounting for approximately 41.12% of the total absolute contribution. …”
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    Effects of Background Fitting of e-Commerce Live Streaming on Consumers&rsquo; Purchase Intentions: A Cognitive-Affective Perspective by Shang Q, Ma H, Wang C, Gao L

    Published 2023-01-01
    “…Qian Shang,1,2 Haoyu Ma,1 Cuicui Wang,2,3 Li Gao4 1School of Management, Hangzhou Dianzi University, Hangzhou, People’s Republic of China; 2Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Shanghai International Studies University, Shanghai, People’s Republic of China; 3School of Management, Hefei University of Technology, Hefei, People’s Republic of China; 4SILC Business School, Shanghai University, Shanghai, People’s Republic of ChinaCorrespondence: Cuicui Wang, School of Management, Hefei University of Technology, 193&num; Tunxi Road, Hefei, 230009, People’s Republic of China, Email qad68@126.com Li Gao, SILC Business School, Shanghai University, 20&num; Chengzhong Road, Jiading District, Shanghai, 201800, People’s Republic of China, Email gaoli@shu.edu.cnPurpose: The purpose of this paper is to explore the effects of the background fitting of e-commerce live streaming on consumers’ purchase intentions and the relevant internal psychological mechanism from the cognitive-affective perspective.Methods: In this study, a theoretical framework model of SOR comprising six variables is established. …”
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