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Shengyin Jiao

Showing results (1-10 of 9) with videos related to

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Journal of Industrial Microbiology & Biotechnology|March 30, 2016
Proteomic analysis to elucidate degeneration of Clostridium beijerinckii NCIMB 8052 and role of Ca(2+) in strain recovery from degenerationJia Lv, Shengyin Jiao, Renjia Du, et al.
Scientific Reports|December 15, 2016
Transcriptional analysis of degenerate strain Clostridium beijerinckii DG-8052 reveals a pleiotropic response to CaCO<sub>3</sub>-associated recovery of solvent productionShengyin Jiao, Yan Zhang, Caixia Wan, et al.
Journal of the Science of Food and Agriculture|April 19, 2017
Effect of high-fat diet and growth stage on the diversity and composition of intestinal microbiota in healthy bovine livestockShengyin Jiao, Hui Cao, Yue Dai, et al.
Frontiers in Microbiology|September 14, 2018
Probiotic Renjia Du, Shengyin Jiao, Yue Dai, et al.
Frontiers in Microbiology|February 15, 2017
Sigma Factor Regulated Cellular Response in a Non-solvent Producing <i>Clostridium beijerinckii</i> Degenerated Strain: A Comparative Transcriptome AnalysisYan Zhang, Shengyin Jiao, Jia Lv, et al.
Quantitative Imaging in Medicine and Surgery|October 23, 2023
Application value of a computer-aided diagnosis and management system for the detection of lung nodulesJingwen Chen, Rong Cao, Shengyin Jiao, et al.
Journal of Diabetes|December 10, 2021
A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world studyNa Li, Mingming Ma, Mengyu Lai, et al.
BMJ Open Diabetes Research & Care|October 22, 2020
Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective studyYifei Zhang, Juan Shi, Ying Peng, et al.
NPJ Digital Medicine|October 7, 2024
Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus imagesXinyu Zhao, Xingwang Gu, Lihui Meng, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Industrial Microbiology & Biotechnology|March 30, 2016
Proteomic analysis to elucidate degeneration of Clostridium beijerinckii NCIMB 8052 and role of Ca(2+) in strain recovery from degenerationJia Lv, Shengyin Jiao, Renjia Du, et al.
Scientific Reports|December 15, 2016
Transcriptional analysis of degenerate strain Clostridium beijerinckii DG-8052 reveals a pleiotropic response to CaCO<sub>3</sub>-associated recovery of solvent productionShengyin Jiao, Yan Zhang, Caixia Wan, et al.
Journal of the Science of Food and Agriculture|April 19, 2017
Effect of high-fat diet and growth stage on the diversity and composition of intestinal microbiota in healthy bovine livestockShengyin Jiao, Hui Cao, Yue Dai, et al.
Frontiers in Microbiology|September 14, 2018
Probiotic Renjia Du, Shengyin Jiao, Yue Dai, et al.
Frontiers in Microbiology|February 15, 2017
Sigma Factor Regulated Cellular Response in a Non-solvent Producing <i>Clostridium beijerinckii</i> Degenerated Strain: A Comparative Transcriptome AnalysisYan Zhang, Shengyin Jiao, Jia Lv, et al.
Quantitative Imaging in Medicine and Surgery|October 23, 2023
Application value of a computer-aided diagnosis and management system for the detection of lung nodulesJingwen Chen, Rong Cao, Shengyin Jiao, et al.
Journal of Diabetes|December 10, 2021
A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world studyNa Li, Mingming Ma, Mengyu Lai, et al.
BMJ Open Diabetes Research & Care|October 22, 2020
Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective studyYifei Zhang, Juan Shi, Ying Peng, et al.
NPJ Digital Medicine|October 7, 2024
Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus imagesXinyu Zhao, Xingwang Gu, Lihui Meng, et al.
Pageof 1