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Feng Fu

Showing results (241-250 of 680) with videos related to

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Computer Methods and Programs in Biomedicine|May 20, 2023
Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomographyLin Yang, Zhe Li, Meng Dai, et al.
Nurse Education in Practice|February 10, 2024
Knowledge of deep vein thrombosis among nursing interns: A cross-sectional studyYue Zhao, Boya Li, Huaqing Qin, et al.
Sensors (Basel, Switzerland)|November 22, 2016
Ex-Vivo Characterization of Bioimpedance Spectroscopy of Normal, Ischemic and Hemorrhagic Rabbit Brain Tissue at Frequencies from 10 Hz to 1 MHzLin Yang, Ge Zhang, Jiali Song, et al.
Infectious Diseases of Poverty|March 31, 2016
A case of human infection with a novel Babesia species in ChinaSu-Qin Man, Ke Qiao, Jie Cui, et al.
Microsystems & Nanoengineering|December 24, 2024
Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learningJing Zhang, Yong-Feng Fu, Hao Shen, et al.
World Journal of Clinical Cases|September 20, 2023
Subintimal recanalization for non-acute occlusion of intracranial vertebral artery in an emergency endovascular procedure: A case reportJun-Feng Fu, Xiang-Ling Zhang, Shun-Yin Lee, et al.
Food Chemistry|May 16, 2015
Metabolic profiling of antioxidants constituents in Artemisia selengensis leavesLu Zhang, Zong-cai Tu, Hui Wang, et al.
Physiologia Plantarum|April 27, 2002
Expression of Oryza sativa MAP kinase gene is developmentally regulated and stress-responsiveHao-Jen Huang, Shin-Feng Fu, Ying-Hsia Tai, et al.
Environmental Science & Technology|May 31, 2007
Vitrification of chromium electroplating sludgeChun-Teh Li, Wen-Jhy Lee, Kuo-Lin Huang, et al.
Science (New York, N.Y.)|June 15, 2013
Parallel neural pathways mediate CO2 avoidance responses in DrosophilaHui-Hao Lin, Li-An Chu, Tsai-Feng Fu, et al.
Pageof 68

Showing results (241-250 of 680) with videos related to

Sort By:
Pageof 68
Computer Methods and Programs in Biomedicine|May 20, 2023
Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomographyLin Yang, Zhe Li, Meng Dai, et al.
Nurse Education in Practice|February 10, 2024
Knowledge of deep vein thrombosis among nursing interns: A cross-sectional studyYue Zhao, Boya Li, Huaqing Qin, et al.
Sensors (Basel, Switzerland)|November 22, 2016
Ex-Vivo Characterization of Bioimpedance Spectroscopy of Normal, Ischemic and Hemorrhagic Rabbit Brain Tissue at Frequencies from 10 Hz to 1 MHzLin Yang, Ge Zhang, Jiali Song, et al.
Infectious Diseases of Poverty|March 31, 2016
A case of human infection with a novel Babesia species in ChinaSu-Qin Man, Ke Qiao, Jie Cui, et al.
Microsystems & Nanoengineering|December 24, 2024
Precision autofocus in optical microscopy with liquid lenses controlled by deep reinforcement learningJing Zhang, Yong-Feng Fu, Hao Shen, et al.
World Journal of Clinical Cases|September 20, 2023
Subintimal recanalization for non-acute occlusion of intracranial vertebral artery in an emergency endovascular procedure: A case reportJun-Feng Fu, Xiang-Ling Zhang, Shun-Yin Lee, et al.
Food Chemistry|May 16, 2015
Metabolic profiling of antioxidants constituents in Artemisia selengensis leavesLu Zhang, Zong-cai Tu, Hui Wang, et al.
Physiologia Plantarum|April 27, 2002
Expression of Oryza sativa MAP kinase gene is developmentally regulated and stress-responsiveHao-Jen Huang, Shin-Feng Fu, Ying-Hsia Tai, et al.
Environmental Science & Technology|May 31, 2007
Vitrification of chromium electroplating sludgeChun-Teh Li, Wen-Jhy Lee, Kuo-Lin Huang, et al.
Science (New York, N.Y.)|June 15, 2013
Parallel neural pathways mediate CO2 avoidance responses in DrosophilaHui-Hao Lin, Li-An Chu, Tsai-Feng Fu, et al.
Pageof 68