Showing 101 - 120 results of 245 for search '"Yunnan Province"', query time: 0.06s Refine Results
  1. 101
  2. 102
  3. 103
  4. 104
  5. 105
  6. 106
  7. 107
  8. 108
  9. 109
  10. 110
  11. 111

    Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

    Published 2025-02-01
    “…ConclusionsOur study developed model IBE to predict the incidence of mumps in Yunnan province, offering a potential tool for early detection of mumps outbreaks. …”
    Get full text
    Article
  12. 112
  13. 113

    Diversity and Potential Cross-Species Transmission of Rotavirus A in Wild Animals in Yunnan, China by Xiang Le, Yinzhu Tao, Binghui Wang, Yutong Hou, Yuting Ning, Junjie Hou, Ruimei Wang, Qian Li, Xueshan Xia

    Published 2025-01-01
    “…In this study, we conducted a comprehensive screening and genotyping analysis of RVA in 1706 wild animal samples collected from various regions within Yunnan Province, China. A total of 24 samples, originating from wild boars, rodents, bats, and birds tested positive for RVA. …”
    Get full text
    Article
  14. 114
  15. 115

    Environmental impacts of crop production systems in subtropical plateau regions: case study of Yunnan, China by Yousheng He, Minghao Li, Wei Zhang, Xinping Chen, Zhengxiong Zhao, Zhi Yao

    Published 2024-12-01
    “…The yield and total nutrient input of grain crops in Yunnan Province increased over the 20-year period, and the environmental footprint of crop production in Yunnan Province was higher than that in other regions. …”
    Get full text
    Article
  16. 116
  17. 117
  18. 118
  19. 119
  20. 120

    CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

    Published 2025-01-01
    “…Lu Qian,1,* BinHai Fu,2,* Hong He,2 Shan Liu,1 RenCai Lu2 1Department of Pathology, the First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China; 2Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China*These authors contributed equally to this workCorrespondence: RenCai Lu, Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming, Yunnan, 650032, People’s Republic of China, Tel +86 087163614503, Email lrc_09@126.comObjective: This study aimed to explore the value of a radiomic nomogram based on contrast-enhanced computed tomography (CECT) for differentiating benign and malignant solid-containing renal masses.Materials and Methods: A total of 122 patients with pathologically confirmed benign (n=47) or malignant (n=75) solid-containing renal masses were enrolled in this study. …”
    Get full text
    Article