Showing 81 - 100 results of 808 for search '"Yunnan"', query time: 0.05s Refine Results
  1. 81
  2. 82
  3. 83
  4. 84
  5. 85
  6. 86
  7. 87
  8. 88

    Genetic Diversity Analysis of Common Wild Rice By Using SSR Markers by Chao DONG, Feifei ZHANG, Cuifeng TANG, Xinxiang A, Shuxian GAN, Yayun YANG, Zidan LIU, Luyuan DAI

    Published 2024-11-01
    “…They were were divided into Yunnan Jinghong, Yunnan Yuanjiang, Jiangxi Dongxiang, and Myanmar populations at GS=0.635. …”
    Get full text
    Article
  9. 89
  10. 90
  11. 91
  12. 92

    Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

    Published 2025-01-01
    “…This study focuses on a section of the Nanjing Expressway in the western part of Yunnan Province as the research area and utilizes Small Baseline Subset InSAR (SBAS-InSAR) technology in conjunction with optical imagery to identify landslide disaster points. …”
    Get full text
    Article
  13. 93
  14. 94
  15. 95
  16. 96
  17. 97

    Laboratory-scale biogas production from vegetable juice waste using an IC reactor by Boualy Vongvisith, Chengyue Liang, Changmei Wang, Fang Yin, Kai Wu, Bin Yang, Jing Liu, Hong Yang, Wudi Zhang

    Published 2024-12-01
    “…The experiment involved collecting different types of leafy vegetable waste from a market in Chenggong County, Yunnan Province. The experimental procedure was divided into five phases based on organic loading rates (OLRs) of 1.4, 2.2, 4.4, 8.4, and 17.6 g COD/L.d, with hydraulic retention times (HRTs) of 6, 4, 2, 1, and 0.5 days, respectively. …”
    Get full text
    Article
  18. 98
  19. 99
  20. 100

    Real-Time Needle Force Modeling for VR-Based Renal Biopsy Training with Respiratory Motion Using Direct Clinical Data by Feiyan Li, Yonghang Tai, Qiong Li, Jun Peng, Xiaoqiao Huang, Zaiqing Chen, Junsheng Shi

    Published 2019-01-01
    “…Clinical evaluation is conducted and performed in the Yunnan First People’s Hospital, which not only demonstrated a higher fitting degree (AVG: 99.36%) with the intraoperation data than previous algorithms (AVG: 87.83%, 72.07%, and 66.70%) but also shows a universal fitting range with multilayer tissue. 27 urologists comprising 18 novices and 9 professors were invited to the VR-based training evaluation based on the proposed haptic rendering solution. …”
    Get full text
    Article