Showing 201 - 220 results of 245 for search '"Yunnan Province"', query time: 0.08s Refine Results
  1. 201
  2. 202

    Research on Territorial Spatial Use Regulation, Land Element Allocation, and Regional Fiscal Transfer Payments: An Empirical Study of the Yangtze River Economic Belt by Wanmin Zhao, Yijia Gao, Aihui Ma

    Published 2025-01-01
    “…Shanghai has the highest unit value, at around CNY 13.77 million per hectare, whereas Yunnan Province has the lowest, at approximately CNY 1.4748 million per hectare. (3) The total fiscal transfer amount for the provinces in the Yangtze River Economic Belt is about CNY 23.4 billion. …”
    Get full text
    Article
  3. 203
  4. 204
  5. 205

    Stability of a Rock Tunnel Passing through Talus-Like Formations: A Case Study in Southwestern China by Shaoqiang Zhang, Wenqiang Li, Jiashan Tan, Bokuan Li, Xiaochang Li, Shuaifeng Wang, Zixin Zhang

    Published 2021-01-01
    “…Tayi tunnel is one of the component tunnels in the Jian-Ge-Yuan Highway Project located in Yunnan Province, southeast of China. It mainly passes through talus-like formations comprised of rock blocks of diverse sizes and weak interlayers with clayey soils with different fractions. …”
    Get full text
    Article
  6. 206

    Multi-step Prediction of Monthly Sediment Concentration Based on WPT-ARO-DBN/WPT-EPO-DBN Model by GAO Xuemei, CUI Dongwen

    Published 2024-01-01
    “…Accurate multi-step sediment concentration prediction is of significance for regional soil erosion control,flood control and disaster reduction.To improve the multi-step prediction accuracy of sediment concentration and the prediction performance of the deep belief network (DBN),this paper proposes a multi-step prediction model of monthly sediment concentration by combining the artificial rabbit optimization (ARO) algorithm,eagle habitat optimization (EPO) algorithm,and DBN based on wavelet packet transform (WPT).The model is validated using time series data of monthly sediment concentration from Longtan Station in Yunnan Province.Firstly,WPT is employed to decompose the time series data of the monthly sediment concentration of the case in three layers,and eight more regular subsequence components are obtained.Secondly,the principles of ARO and EPO algorithms are introduced,and hyperparameters such as the neuron number in the hidden layer of DBN are optimized by ARO and EPO.Meanwhile,WPT-ARO-DBN and WPT-EPO-DBN prediction models are built,and WPT-PSO (particle swarm optimization)-DBN and WPT-DBN are constructed for comparative analysis.Finally,four models are adopted to predict each subsequence component,and the predicted values are superimposed to obtain the multi-step prediction results of the final monthly sediment concentration.The results are as follows.① WPT-ARO-DBN and WPT-EPO-DBN models have satisfactory prediction effects on the monthly sediment concentration of the case from one step ahead to four steps ahead.This yields sound prediction results for five steps ahead.The prediction effect for six steps ahead and seven steps ahead is average,and the prediction accuracy for eight steps ahead is poor and cannot meet the prediction accuracy requirements.② The multi-step prediction performance of WPT-ARO-DBN and WPT-EPO-DBN models is superior to WPT-PSO-DBN models and far superior to WPT-DBN models,with higher prediction accuracy,better generalization ability,and larger prediction step size.③ ARO and EPO can effectively optimize DBN hyperparameters,improve DBN prediction performance,and have better optimization effects than PSO.Additionally,WPT-ARO-DBN and WPT-EPO-DBN models can give full play to the advantages of WPT,new swarm intelligence algorithms and the DBN network and improve the multi-step prediction accuracy of monthly sediment concentration,and the prediction accuracy decreases with the increasing prediction steps.…”
    Get full text
    Article
  7. 207

    The Genetic Diversity, Population Structure, and Historical Dynamics of Wild <i>Pyrus</i> Species on the Yunnan–Kweichow Plateau by Xiang Yang, Xingguang Dong, Kunming Li, Ying Zhang, Chenxi Xu, Hongliang Huo, Luming Tian, Jiayu Xu, Chao Liu, Dan Qi, Yufen Cao

    Published 2025-01-01
    “…Analyses of genetic diversity suggested that the central and easter portions of Yunnan Province are key centers of <i>Pyrus</i> diversity on the Yunnan–Kweichow Plateau, whereas the highest degree of differentiation was observed for wild <i>Pyrus</i> in the southwest and northwest regions. …”
    Get full text
    Article
  8. 208
  9. 209
  10. 210
  11. 211

    Short-Term Trends in Economic Burden and Catastrophic Costs of Type 2 Diabetes Mellitus in Rural Southwest China by Hui-fang Li, Le Cai, Allison Rabkin Golden

    Published 2019-01-01
    “…Data were collected from two cross-sectional health interviews and examination surveys among individuals aged≥35 years in rural Yunnan Province. A prevalence-based cost-of-illness method was used to estimate the cost of diabetes. …”
    Get full text
    Article
  12. 212

    A symbiotic mosquito‐gut bacterium for flavivirus control by Jinglin Wang, Yibin Zhu, Jun Leng, Yulin Yuan, Yingyi Cao, Gong Cheng, Xueshan Xia

    Published 2024-12-01
    “…In a recent study published in Science, Zhang et al. isolated a bacterium named Rosenbergiella_YN46 from the gut of field‐caught Aedes albopictus mosquitoes in Yunnan Province, China. This commentary reviews their findings, published on April 19, 2024, which describe the symbiotic bacterium Rosenbergiella_YN46 and its ability to block flavivirus transmission, including both DENV and ZIKV. …”
    Get full text
    Article
  13. 213
  14. 214
  15. 215

    Machine learning algorithms in constructing prediction models for assisted reproductive technology (ART) related live birth outcomes by Junwei Peng, Xiaoyujie Geng, Yiyue Zhao, Zhijin Hou, Xin Tian, Xinyi Liu, Yuanyuan Xiao, Yang Liu

    Published 2024-12-01
    “…We conducted a retrospective study by using a database includes a total of 11,938 couples who underwent in vitro fertilization (IVF) treatment between January 2015 and December 2022 in a medical institution of southwest China Yunnan province. Multiple candidate predictors were screened out by using the importance scores. …”
    Get full text
    Article
  16. 216
  17. 217

    Multi-scale identification of driving forces for landscape ecological risk: A case study of the basin containing three plateau lakes in Yunnan, China by Shu Wang, Quanli Xu, Junhua Yi

    Published 2025-01-01
    “…First, we developed an LER assessment model for the basin containing three plateau lakes (Fuxian, Xingyun, and Qilu) in the central Yunnan Province and identified local areas (deteriorated, improved, and stable). …”
    Get full text
    Article
  18. 218
  19. 219

    Study on hsa_circ_101209 in Plasma of Pregnant Women with Deep Venous Thrombosis by Zhang Y, Li J

    Published 2025-01-01
    “…Yuhong Zhang, Jun Li Center for Obstetrics and Reproductive Medicine, The Affiliated Hospital of Yunnan University, Kunming City, Yunnan Province, 650032, People’s Republic of ChinaCorrespondence: Jun Li, Center for Obstetrics and Reproductive Medicine, The Affiliated Hospital of Yunnan University, No. 176, Qingnian Road, Kunming, Yunnan, 650032, People’s Republic of China, Email lijun1152061295@hotmail.comBackground: This study analyzed the expression and diagnostic value of hsa_circ_101209 in plasma of pregnant women with in deep vein thrombosis (DVT).Methods: By circRNA microarray detection and GO/KEGG analysis, hsa_circ_14797 targeting miRNA-mRNA network was predicted. …”
    Get full text
    Article
  20. 220