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Ruiqi Jia

Showing results (11-20 of 19) with videos related to

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Plants (Basel, Switzerland)|March 17, 2025
A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural EnvironmentsJiaxin Yin, Weixia Li, Junhong Shen, et al.
Environmental Pollution (Barking, Essex : 1987)|August 5, 2024
Micro-/nano-plastics as vectors of heavy metals and stress response of ciliates using transcriptomic and metabolomic analysesYunlong Wang, Yaxin Wang, Minhao Liu, et al.
Environmental Technology|April 16, 2024
Unveiling the variability in cadmium accumulation and tolerance characteristics: a comparative study of Basma and Yunyan 87 tobacco varietiesZiang Guo, Jinhui Zhu, Ye Zheng, et al.
Journal of Hazardous Materials|August 27, 2024
Transfer from ciliate to zebrafish: Unveiling mechanisms and combined effects of microplastics and heavy metalsYan Zhang, Caixia Wang, Ruiqi Jia, et al.
Marine Pollution Bulletin|March 2, 2024
Mechanisms of the novel pesticide sodium dodecyl benzene sulfonate in the mitigation of protozoan ciliated pathogens during microalgal cultivationGaojingwen Sun, Ruiqi Jia, Yan Zhang, et al.
Applied Biochemistry and Biotechnology|July 27, 2019
High-Throughput Screening of T7 Promoter Mutants for Soluble Expression of Cephalosporin C Acylase in E. coliZihao Nie, Hui Luo, Jiufeng Li, et al.
BMJ Open Diabetes Research & Care|December 20, 2024
Role of urinary trace elements in diabetic kidney disease: a cross-sectional analysisTianrui Gao, Jia Lv, Lizhen Lu, et al.
Shock (Augusta, Ga.)|December 14, 2021
A New Time-Window Prediction Model For Traumatic Hemorrhagic Shock Based on Interpretable Machine LearningYuzhuo Zhao, Lijing Jia, Ruiqi Jia, et al.
Scientific Reports|December 1, 2021
An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19Lijing Jia, Zijian Wei, Heng Zhang, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Plants (Basel, Switzerland)|March 17, 2025
A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural EnvironmentsJiaxin Yin, Weixia Li, Junhong Shen, et al.
Environmental Pollution (Barking, Essex : 1987)|August 5, 2024
Micro-/nano-plastics as vectors of heavy metals and stress response of ciliates using transcriptomic and metabolomic analysesYunlong Wang, Yaxin Wang, Minhao Liu, et al.
Environmental Technology|April 16, 2024
Unveiling the variability in cadmium accumulation and tolerance characteristics: a comparative study of Basma and Yunyan 87 tobacco varietiesZiang Guo, Jinhui Zhu, Ye Zheng, et al.
Journal of Hazardous Materials|August 27, 2024
Transfer from ciliate to zebrafish: Unveiling mechanisms and combined effects of microplastics and heavy metalsYan Zhang, Caixia Wang, Ruiqi Jia, et al.
Marine Pollution Bulletin|March 2, 2024
Mechanisms of the novel pesticide sodium dodecyl benzene sulfonate in the mitigation of protozoan ciliated pathogens during microalgal cultivationGaojingwen Sun, Ruiqi Jia, Yan Zhang, et al.
Applied Biochemistry and Biotechnology|July 27, 2019
High-Throughput Screening of T7 Promoter Mutants for Soluble Expression of Cephalosporin C Acylase in E. coliZihao Nie, Hui Luo, Jiufeng Li, et al.
BMJ Open Diabetes Research & Care|December 20, 2024
Role of urinary trace elements in diabetic kidney disease: a cross-sectional analysisTianrui Gao, Jia Lv, Lizhen Lu, et al.
Shock (Augusta, Ga.)|December 14, 2021
A New Time-Window Prediction Model For Traumatic Hemorrhagic Shock Based on Interpretable Machine LearningYuzhuo Zhao, Lijing Jia, Ruiqi Jia, et al.
Scientific Reports|December 1, 2021
An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19Lijing Jia, Zijian Wei, Heng Zhang, et al.
Pageof 2