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101por Tang, Tongxiang, Shen, Zhonghui, Wang, Jian, Xu, Shiqi, Jiang, Jiaxi, Chang, Jiahui, Guo, Mengfan, Fan, Youjun, Xiao, Yao, Dong, Zhihao, Huang, Houbing, Li, Xiaoyan, Zhang, Yihui, Wang, Danyang, Chen, Long-Qing, Wang, Ke, Zhang, Shujun, Nan, Ce-Wen, Shen, YangEnlace del recurso
Publicado 2023
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102“…A control method for NGP that can coordinate the conflicts between cultivated land protection and farmers’ interest is urgently needed. Taking Tongxiang City as an example, this research proposed a solution for the control and management of NGP based on cultivated land multifunctional assessment. …”
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103por Yu, Min, Zhong, Jieming, Hu, Ruying, Chen, Xiangyu, Wang, Chunmei, Xie, Kaixu, Guzman, Merrell, Gui, Xiaotong, Kong, Sandra Tian-Jiao, Qu, Tingting, Eggleston, Karen“…Background: In an effort to provide greater financial protection from the risk of large medical expenditures, China has gradually added catastrophic medical insurance (CMI) to the various basic insurance schemes. Tongxiang, a rural county in Zhejiang province, China, has had CMI since 2000 for their employee insurance scheme, and since 2014 for their resident insurance scheme. …”
Publicado 2021
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104por Sha, Haodong, Liu, Xinyi, Xiao, Xiaoe, Zhang, Han, Gu, Xueting, Chen, Weiliang, Mao, Bizeng“…A serious disease that caused leaf spots in C. morifolium appeared in 2022 in Tongxiang City, Zhejiang Province, China. The C. morifolium leaves with brown spots were collected and used for pathogen isolation. …”
Publicado 2023
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105Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network“…We combined a dilated residual convolutional network (Dilated-ResNet) and a multi-scale context subnetwork into an end-to-end architecture in order to learn high resolution feature representations from HSR images and to aggregate and refine the multi-scale features extracted by the aforementioned network. Our experiment in Tongxiang city showed that the proposed framework effectively mapped and discriminated rural settlements with an overall accuracy of 98% and Kappa coefficient of 85%, achieving comparable and improved performance compared to other existing methods. …”
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106“…METHODS: Cox proportional hazard models were adopted for measuring the influence exerted by heart rate on stroke in the Tongxiang China Kadoorie Biobank prospective cohort analyses, in which 23,132 men and 32,872 women were included. …”
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107por Wu, Haibin, Eggleston, Karen N, Zhong, Jieming, Hu, Ruying, Wang, Chunmei, Xie, Kaixu, Chen, Yiwei, Chen, Xiangyu, Yu, Min“…MATERIALS AND METHODS: We created uniquely detailed data from merging datasets of the local diabetes management system and the social security system in Tongxiang, China. We calculated the type 2 diabetes mellitus‐related total cost and out‐of‐pocket cost for inpatient admissions and outpatient visits, and compared the cost for patients with or without complications by different healthcare items. …”
Publicado 2018
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108“…Methods: A total of 151,926 resident individuals in Tongxiang underwent HBsAg screening at least thrice in a 7-year period. …”
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109por Xu, Chunxiao, Zhong, Jieming, Zhu, Honghong, Hu, Ruying, Fang, Le, Wang, Meng, Zhang, Jie, Guo, Yu, Bian, Zheng, Chen, Zhengming, Li, Liming, Yu, Min“…MATERIALS AND METHODS: We measured the association between heart rate and type 2 diabetes mellitus in the Tongxiang China Kadoorie Biobank prospective cohort study using Cox proportional hazard models. …”
Publicado 2019
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110por Wang, Hao, Chen, Lingli, Shen, Dun, Cao, Yuan, Zhang, Xiaoyi, Xie, Kaixu, Wang, Chunmei, Zhu, Shuiqing, Guo, Yu, Fiona, Bragg, Yu, Min, Chen, Zhengming, Li, Liming“…METHODS: The analysis included 53,916 participants aged 30–79 years of the China Kadoorie Biobank prospective study from Tongxiang. Incident diabetes were identified through linkage with incident diabetes surveillance systems, health insurance system, and death registries. …”
Publicado 2021
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111por Wu, Haibin, Eggleston, Karen N, Zhong, Jieming, Hu, Ruying, Wang, Chunmei, Xie, Kaixu, Chen, Yiwei, Chen, Xiangyu, Yu, Min“…DESIGN: A cross-sectional study using data from the region’s diabetes management system, social security system and death registry system, 2015. SETTING: Tongxiang, China. PARTICIPANTS: Individuals diagnosed with T2DM in the local diabetes management system, and who had 2015 insurance claims in the social security system. …”
Publicado 2018
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112por Wang, Hao, Chen, Lingli, Cao, Yuan, Xie, Kaixu, Wang, Chunmei, Pei, Pei, Guo, Yu, Bragg, Fiona, Yu, Min, Chen, Zhengming, Li, Liming“…METHODS: The data for the present study are from the Tongxiang baseline dataset of the China Kadoorie Biobank prospective study. …”
Publicado 2022
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113por Wang, Hao, Chen, Lingli, Shen, Dun, Cao, Yuan, Zhang, Xiaoyi, Xie, Kaixu, Wang, Chunmei, Zhu, Shuiqing, Pei, Pei, Guo, Yu, Bragg, Fiona, Yu, Min, Chen, Zhengming, Li, Liming“…METHODS: The analyses are based on the Tongxiang baseline dataset of the China Kadoorie Biobank prospective study, including data from electronic questionnaires, physical measurements and blood sample collection. …”
Publicado 2021
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