Showing 641 - 660 results of 662 for search '"Xinjiang"', query time: 0.08s Refine Results
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    Molecular and Transmission Characteristics of Mycobacterium Tuberculosis Strains Among College Students in Beijing, China by Cao X, Li X, Song Z, He P, Zhang R, Teng C, Sun Q, Wang X, Zhao B, Zhang Z, Zhao Y

    Published 2025-01-01
    “…Lineage 2 (86.3%, 132/153) was the predominant genotype, with the Beijing genotype (90.1%, 120/153) being the most common, while the isolation of Lineage 3 in a student from Xinjiang. Sixteen college student isolates clustered, and all of which were Beijing genotype. …”
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    MaxEnt-Based Predictions of Suitable Potential Distribution of <i>Leymus secalinus</i> Under Current and Future Climate Change by Shimeng Zhao, Zongxian Zhang, Changyu Gao, Yiding Dong, Zeyao Jing, Lixia Du, Xiangyang Hou

    Published 2025-01-01
    “…The results showed the following: (1) Mean diurnal temperature range, annual mean temperature, precipitation of the wettest quarter, and elevation are the major factors impacting the distribution of <i>L. secalinus</i>. (2) Under the current climatic conditions, <i>L. secalinus</i> is mainly distributed in the farming–pastoral ecotone of northern China; in addition, certain suitable areas also exist in parts of Xinjiang, Tibet, Sichuan, Heilongjiang, and Jilin. (3) Under future climate change scenarios, the suitable areas for <i>L. secalinus</i> are generally the same as at present, with slight changes in area under different scenarios, with the largest expansion of 97,222 km<sup>2</sup> of suitable area in 2021–2040 under the SSP1-26 scenario and the largest shrinkage of potential suitable area in 2061–2080 under the SSP2-45 scenario, with 87,983 km<sup>2</sup>. …”
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    Risk of All-Cause Mortality in Mild Chronic Obstructive Pulmonary Disease: Evidence From the NHANES III and 2007&ndash;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,&ast; Jie Ou,1,2,&ast; Fan Wu,3,4,&ast; 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&ast;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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    核桃仁颜色与化学成分的关联分析 "Correlation analysis between color and chemical composition of walnut kernels" by 孙诗曼,郑悦雯,李庆杨,莫润宏,汤富彬,刘毅华 SUN Shiman,ZHENG Yuewen,LI Qingyang,MO Runhong,TANG Fubin,LIU Yihua

    Published 2025-01-01
    “…To provide reference for high quality breeding and deepen the development of functional products,the gray values of 13 walnut kernels from the Xinjiang region were measured, and cluster analysis was conducted using gray value as an indicator, resulting in the 13 walnut kernels being divided into two groups: light-colored walnut kernels and amber walnut kernels. …”
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    Comprehensive Evaluation of GPM-IMERG, CMORPH, and TMPA Precipitation Products with Gauged Rainfall over Mainland China by Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianqun Wang, Jianbin Su

    Published 2018-01-01
    “…Results illustrate the following. (1) Except for IMERG V04A’s severe underestimation over the Tibetan Plateau (TP) and Xinjiang (XJ) with high negative relative biases (RBs) and CMORPH-CRT’s overestimation over XJ with high positive RB, the four satellite-based precipitation products generally capture the same spatial patterns of precipitation over China. (2) At the annual scale over China, the IMERG products do not show an advantage over its predecessor (TRMM 3B42) in terms of RMSEs, RRMSEs, and Rs; meanwhile, the performance of IMERG products is worse than TRMM 3B42 in spring and summer according to the RMSE, RRMSE, and R metrics. …”
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