Showing 101 - 117 results of 117 for search '"Yuxi"', query time: 0.05s Refine Results
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    Investigation and Identification of Fungal Diseases of <i>Aloe barbadensis</i> in China by Guohui Zhang, Qingjia Wan, Xiangyang Li, Jie Deng

    Published 2025-01-01
    “…The <i>Aloe barbadensis</i> industry plays an important role in the economic development of Yuanjiang county of Yuxi city in Yunnan province, China. In order to reduce the harm of diseases and ensure the quality of products, the occurrence of <i>A. barbadensis</i> was investigated. …”
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    Analysis of Dynamic Change and Driving Factors of Ecological Footprint of Water Resources in Yunnan Province by ZHENG Tao, MI Zhijuan, XIE Yinchang

    Published 2021-01-01
    “…In order to ensure the coordination of water resources utilization and economic development in Yunnan Province,the sustainable planning and management of water resources in Yunnan Province should be strengthened.This paper analyzes the dynamic changes of water-resources ecological footprint in Yunnan Province from 2006 to 2018 through the ecological footprint model of water resources,and its driving factors by combining the LMDI decomposition method.The results show that:The total ecological footprint of water resources in Yunnan Province increased steadily and slowly as a whole.In the water utilization structure,the production water accounts for the largest proportion,with the highest ecological footprint,and followed by the domestic water,and the ecological water.From 2006 to 2018,the ecological carrying capacity of water resources in Yunnan Province showed a fluctuating trend,which increased overall after 2011.The water resources in Yunnan Province were in a state of ecological surplus,the same as that in all prefectures and cities.Among them,Kunming,Yuxi,and Chuxiong are on the verge of an ecological deficit,and the ecological footprint of water resources per 10 000 yuan of GDP is on the decline.Economic and technological factors play a leading role in the change of water-resources ecological footprint in Yunnan Province,among which economic factors play a positive role in driving the growth of water-resources ecological footprint.Therefore,it can be concluded that the water resources in Yunnan provinces is under a safe development and utilization state,with a great development potentiality.However,the distribution of water resources in different prefectures and cities is unbalanced,so it needs to be reasonably allocated.…”
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  8. 108

    Drought Assessment and Projection under Climate Change: A Case Study in the Middle and Lower Jinsha River Basin by Zhe Yuan, Jijun Xu, Jin Chen, Junjun Huo, Yangyue Yu, Peter Locher, Bin Xu

    Published 2017-01-01
    “…The region for greater drought severity with more drought events and longer duration was mainly distributed in Dali, Chuxiong, Kunming, and Yuxi. (2) For the period 2021 to 2050, total drought area was projected to increase by 43.2%. …”
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    Advances in Ultrasound-Targeted Microbubble Destruction (UTMD) for Breast Cancer Therapy by Wu Y, Liu Y, Wu H, Tong M, Du L, Ren S, Che Y

    Published 2025-02-01
    “…Yunfeng Wu,1 Yuxi Liu,2 Han Wu,1 Mengying Tong,1 Linyao Du,1 Shuangsong Ren,1 Ying Che1 1Department of Ultrasound, The First Affiliated Hospital of Dalian Medical University, Liaoning, Dalian, People’s Republic of China; 2Department of Ultrasound, Shandong Second Medical University Affiliated Hospital, Shan Dong, Weifang, People’s Republic of ChinaCorrespondence: Ying Che, Email yche1964@163.comAbstract: Breast cancer is one of the most common types of cancer in women worldwide and is a leading cause of cancer deaths among women. …”
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    The Effect of Excavation Disturbance on the Stability of Bedding Cataclastic Rock Mass High Slope Containing Multimuddy Interlayers by Fei Liu, Jiaming Zhang, Pengzheng Guo, Wenlian Liu, Zhiqiang Wang, Jipu Chen

    Published 2024-01-01
    “…Therefore, this paper modeled the unstable slope excavated at a waste incineration power plant in Yuxi, Yunnan, using the finite element strength reduction method. …”
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  12. 112

    Assessing habitat selection parameters of Arabica coffee using BWM and BCM methods based on GIS by Xiaogang Liu, Yuting Tan, Jianhua Dong, Jie Wu, Xinle Wang, Zhiqing Sun

    Published 2025-01-01
    “…The suitable areas mainly encompass Dehong, Pu’er, Lincang, Xishuangbanna, Baoshan, southern Chuxiong, eastern Honghe, southern Yuxi, and parts of Wenshan. BWM-GIS achieved an area under curve (AUC) value of 0.891, while BCM-GIS obtained an AUC value of 0.890, indicating the stability and reliability of the models. …”
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    Identification of Potential Diagnostic Biomarkers of Carotid Atherosclerosis in Obese Populations by Wu X, Pan J, Pan X, Kang J, Ren J, Huang Y, Gong L, Li Y

    Published 2025-02-01
    “…Xize Wu,1,&ast; Jiaxiang Pan,2,&ast; Xue Pan,1,3,&ast; Jian Kang,1 Jiaqi Ren,1 Yuxi Huang,1 Lihong Gong,2,4 Yue Li2,4 1Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110847, People’s Republic of China; 2Department of Cardiology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110032, People’s Republic of China; 3College of Traditional Chinese Medicine, Dazhou Vocational College of Chinese Medicine, Dazhou, Sichuan, 635000, People’s Republic of China; 4Liaoning Provincial Key Laboratory of TCM Geriatric Cardio-Cerebrovascular Diseases, Shenyang, Liaoning, 110032, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Lihong Gong; Yue Li, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, No. 33, Beiling Street, Huanggu District, Shenyang, Liaoning, 110032, People’s Republic of China, Tel +86 024-82961105, Email Linda1795@sina.com; med_liyue@163.comObjective: This study aimed to investigate the potential mechanisms and biomarkers between Obesity (OB) and carotid atherosclerosis (CAS).Methods: The GSE12828, GSE125771, GSE43292, and GSE100927 datasets were combined and normalized to obtain CAS-related differentially expressed genes (DEGs), and OB-related DEGs were obtained from the GSE151839 dataset and the GeneCards database. …”
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