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101por Xu, Yongjian, Gao, Jianmin, Zhou, Zhongliang, Xue, Qinxiang, Yang, Jinjuan, Luo, Hao, Li, Yanli, Lai, Sha, Chen, Gang“…This study aims to estimate the change of overall proportion of households incurring catastrophic health care expenditure (CHE) and its income-related inequality in the rural areas of Shaanxi Province from 2008 to 2013. METHODS: The data were drawn from the National Household Health Service Surveys of Shaanxi Province conducted in the years 2008 and 2013. …”
Publicado 2015
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102por Yang, Xiaowei, Gao, Jianmin, Zhou, Zhongliang, Yan, Jue, Lai, Sha, Xu, Yongjian, Chen, Gang“…This study aims to assess the effect of the NCMS on alleviating health payment-induced poverty in the Shaanxi Province of China. METHODS: The data was drawn from the 5(th) National Health Service Survey of Shaanxi Province, conducted in 2013. …”
Publicado 2016
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103“…METHODS: The participants in this cross sectional study came from three geographical regions of Shaanxi Province. A total of 533 adolescent girls from urban and rural areas were randomly selected. …”
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104“…This study aims to estimate households with hypertension incurring CHE and its income-related inequality in the rural areas of Shaanxi Province. METHODS: Data were obtained from the National Household Health Service Surveys of Shaanxi Province conducted in 2013 and 13104 households were identified for analysis. …”
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105por Guan, Hongyu, Wang, Huan, Huang, Juerong, Du, Kang, Zhao, Jin, Boswell, Matthew, Shi, Yaojiang, Iyer, Mony, Rozelle, Scott“…The data come from a randomized controlled trial of 13,100 students in Gansu and Shaanxi provinces in China. The results show that without a subsidy, uptake of health care services is low, even if individuals are provided with evidence of a potential problem (an eyeglasses prescription). …”
Publicado 2018
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106por Yan, Bin, Yang, Jian, Fan, Yajuan, Zhao, Binbin, Ma, Qingyan, Yang, Lihong, Ma, XiancangEnlace del recurso
Publicado 2018
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108“…For this reason, we used the OECD model to measure green development in arid, rural areas of China, and also subjective and objective weighting methods to measure the rural green development level of 78 county-level regions in Shaanxi province in 2018. At the same time, the least square error (LSE) method was used to determine the contribution rate of government support, environmental pressure, resource endowment, and quality of life, so as to determine the influencing factors of rural green development in Shaanxi. …”
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109“…The results showed that the overall root size of dryland wheat cultivars in Shaanxi Province changed with the planting decade. …”
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110por Li, Luyao, Zou, Xing, Zhang, Guanjun, Wang, Hongyan, Su, Yongdong, Wang, Mengge, He, Guanglin“…The formation process of modern Shaanxi Han population reconstructed via the ancient DNA is on the way, however, the patterns of genetic relationships of modern Shaanxi Han, allele frequency distributions of high mutated short tandem repeats (STRs) and corresponding forensic parameters are remained to be explored. …”
Publicado 2020
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111“…A cross-sectional survey was conducted in 2019, and 938 elderly people from seven counties (districts) of China’s Shaanxi province were enrolled. Multivariable linear regression and mediation effect analysis were employed to examine the integrated relationships among these variables. …”
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112“…METHODS: The data of patients with KBD at village-level were collected to estimate and analyze the spatial pattern of health loss from KBD in Bin County, Shaanxi Province. The years lived with disability (YLDs) index was applied as a measure of health loss from KBD. …”
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113“…METHODS: Our work examined three different soil textures from three cities of Shaanxi Province in China, i.e., silt-sandy loam from Yulin (north of Shaanxi), loam—clay loam from Yangling (middle and western part of Shaanxi), and clay loam-clay from Hanzhong soil (south of Shaanxi), at two moisture levels, i.e., field capacity of 70–75% (well-watered) and 50–55% (water deficit). …”
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114por Liu, Yini, Zhang, Huihui, Zhao, Yaling, Chen, Fangyao, Mi, Baibing, Zhou, Jing, Chen, Yulong, Wang, Duolao, Pei, Leilei“…Among about 80.0% of participants with higher scores on the snacks pattern living in South and Central Shaanxi, there was a higher risk for SGA. The OR values tend to descend from South to North Shaanxi. …”
Publicado 2021
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115por Sarkar, Apurbo, Hongyu, Wang, Jony, Abdul Azim, Das, Jiban Chandro, Memon, Waqar Hussain, Qian, Lu“…The quantitative data used in this research were collected from a survey covering the agricultural food supply industry in China (Shaanxi Province). The survey was conducted from November to December 2020 and we mainly focus on three aspects of food security (effective utilization of food, food availability, and food access). …”
Publicado 2021
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116“…The conclusions are: (1) The results of cluster analysis show that the fort-type settlements in Shaanxi can be divided into three categories; (2) The overall distribution of fort-type settlements in Shaanxi shows multi-point aggregation, and contains both point and linear aggregation distribution; (3) There are four typical cluster systems among the traditional fort-type settlements in Shaanxi; (4) The factors that have the greatest influence on the distribution of settlements are construction force, wall masonry, age, fortification purpose, and topographic environment. …”
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117“…Based on the micro-survey data of 592 farmers in Shaanxi province, a multinomial logit model was applied to explore farmers’ preferences for participating in rural solid waste management. …”
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118por An, Cuihong, Shen, Li, Sun, Minghao, Sun, Yangxin, Fan, Suoping, Zhao, Chenxi, Nie, Shoumin, Luo, Boyan, Fu, Ting, Liu, Kun, Shao, Zhongjun, Chang, WenHui“…Results confirmed the risk transfer pattern of HB with an expansion from north to south in Shaanxi Province and identified two primary transfer routes. …”
Publicado 2023
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119por Zhang, Lei, Wang, Wenhua, Chen, Yan, Abudoula, Aisimila, Wang, Xue, Yuan, Xiaoxiao, Luo, Yi, Wu, Mingyang, Ma, Le“…METHODS: A total of 18,723 college students from six universities were recruited through a multistage, random cluster sampling method in Shaanxi province, China. The Adverse Childhood Experiences International Questionnaire was used to assess ACEs for each participant, and the Chinese version of the Ottawa Self-injury Inventory was used to assess the presence or absence of NSSI behaviors. …”
Publicado 2023
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120por Wang, Zhe, Lu, Guanjie, Gao, Yunyun, Yan, Liping, Li, Mingzhe, Hu, Defu, Zhang, Dong“…Overall, our study will provide insights and guidelines for the conservation of genetic diversity in captive forest musk deer populations in the Shaanxi province.…”
Publicado 2023
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