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Yu-ming Li

Showing results (161-170 of 174) with videos related to

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Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi = Zhonghua Laodong Weisheng Zhiyebing Zazhi = Chinese Journal of Industrial Hygiene and Occupational Diseases|November 14, 2007
[Relationship between FAS/FASL gene polymorphisms and susceptibility of coal worker's pneumoconiosis]Chun-hui Ni, Zhi-fang Song, Xiao-min Jia, et al.
Obesity (Silver Spring, Md.)|May 8, 2018
Evaluation of Visceral Adipose Tissue Oxygenation by Blood Oxygen Level-Dependent MRI in Zucker Diabetic Fatty RatsHong-Jian Shi, Yan-Feng Li, Wen-Jie Ji, et al.
Hypertension (Dallas, Tex. : 1979)|June 30, 2016
Prehypertension During Normotensive Pregnancy and Postpartum Clustering of Cardiometabolic Risk Factors: A Prospective Cohort StudyQiong Lei, Xin Zhou, Yu-Heng Zhou, et al.
Journal of Hypertension|July 18, 2018
Excessive umbilical cord coiling confers risk of elevated nocturnal blood pressure and severe/early-onset preeclampsiaLi-Juan Lv, Lin-Lin Wu, Ji-Ying Wen, et al.
Nanomedicine (London, England)|May 26, 2016
Inflammatory monocyte/macrophage modulation by liposome-entrapped spironolactone ameliorates acute lung injury in miceWen-Jie Ji, Yong-Qiang Ma, Xin Zhang, et al.
International Journal of Biological Sciences|January 6, 2007
A complete mitochondrial genome sequence of Asian black bear Sichuan subspecies (Ursus thibetanus mupinensis)Wan-ru Hou, Yu Chen, Xia Wu, et al.
Journal of Medical Internet Research|February 1, 2018
Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine LearningChengyin Ye, Tianyun Fu, Shiying Hao, et al.
Heliyon|June 19, 2025
Retraction notice to "Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study" [Heliyon 8 (2022) e12343]Xiang Hu, Xue-Ke Li, Shiping Wen, et al.
Heliyon|January 16, 2023
Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based studyXiang Hu, Xue-Ke Li, Shiping Wen, et al.
Plos One|July 8, 2017
Defining and characterizing the critical transition state prior to the type 2 diabetes diseaseBo Jin, Rui Liu, Shiying Hao, et al.
Pageof 18

Showing results (161-170 of 174) with videos related to

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Pageof 18
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi = Zhonghua Laodong Weisheng Zhiyebing Zazhi = Chinese Journal of Industrial Hygiene and Occupational Diseases|November 14, 2007
[Relationship between FAS/FASL gene polymorphisms and susceptibility of coal worker's pneumoconiosis]Chun-hui Ni, Zhi-fang Song, Xiao-min Jia, et al.
Obesity (Silver Spring, Md.)|May 8, 2018
Evaluation of Visceral Adipose Tissue Oxygenation by Blood Oxygen Level-Dependent MRI in Zucker Diabetic Fatty RatsHong-Jian Shi, Yan-Feng Li, Wen-Jie Ji, et al.
Hypertension (Dallas, Tex. : 1979)|June 30, 2016
Prehypertension During Normotensive Pregnancy and Postpartum Clustering of Cardiometabolic Risk Factors: A Prospective Cohort StudyQiong Lei, Xin Zhou, Yu-Heng Zhou, et al.
Journal of Hypertension|July 18, 2018
Excessive umbilical cord coiling confers risk of elevated nocturnal blood pressure and severe/early-onset preeclampsiaLi-Juan Lv, Lin-Lin Wu, Ji-Ying Wen, et al.
Nanomedicine (London, England)|May 26, 2016
Inflammatory monocyte/macrophage modulation by liposome-entrapped spironolactone ameliorates acute lung injury in miceWen-Jie Ji, Yong-Qiang Ma, Xin Zhang, et al.
International Journal of Biological Sciences|January 6, 2007
A complete mitochondrial genome sequence of Asian black bear Sichuan subspecies (Ursus thibetanus mupinensis)Wan-ru Hou, Yu Chen, Xia Wu, et al.
Journal of Medical Internet Research|February 1, 2018
Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine LearningChengyin Ye, Tianyun Fu, Shiying Hao, et al.
Heliyon|June 19, 2025
Retraction notice to "Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study" [Heliyon 8 (2022) e12343]Xiang Hu, Xue-Ke Li, Shiping Wen, et al.
Heliyon|January 16, 2023
Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based studyXiang Hu, Xue-Ke Li, Shiping Wen, et al.
Plos One|July 8, 2017
Defining and characterizing the critical transition state prior to the type 2 diabetes diseaseBo Jin, Rui Liu, Shiying Hao, et al.
Pageof 18