Showing 561 - 580 results of 4,079 for search '"Shanghai"', query time: 0.06s Refine Results
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    Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development by Zhuqing Xiao, Keqiang Lai, Rui Du, Yungang Shen, Xiaohua Sun, Yun Pan, Barbara A. Rasco, Yiqun Huang

    Published 2013-01-01
    “…Rapid Fourier transform near-infrared methods (FT-NIR) were developed for determining fat and moisture content in FBS collected from 123 different vendors in Shanghai, China. FBS samples with minimum sample preparation (either finely or coarsely ground) were used for NIR analyses. …”
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    Projected Spatiotemporal Evolution of Urban Form Using the SLEUTH Model with Urban Master Plan Scenarios by Yuhan Liu, Caiyan Wu, Jiong Wu, Yangcen Zhang, Xing Bi, Meng Wang, Enrong Yan, Conghe Song, Junxiang Li

    Published 2025-01-01
    “…This study aims to assess the spatiotemporal patterns of urban growth and morphological evolution in mainland Shanghai from 2016 to 2060 using the SLEUTH model under multiple growth scenarios based on the Shanghai Urban Master Plan (2017–2035). …”
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    Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control by Danyan Chen, Jiaying Lu, Hucheng Zhou, Jiehui Jiang, Ping Wu, Qihao Guo, Jingjie Ge, Huiwei Zhang, Kuangyu Shi, Chuantao Zuo

    Published 2018-01-01
    “…This experimental study was performed on 22 DLB patients and 22 HC subjects in Huashan Hospital, Shanghai, China. Experimental results indicate that compared with the HC group, the DLB group has severely impaired small-world network. …”
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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
    “…Objective 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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