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Yilun Xu

Showing results (11-20 of 40) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|December 9, 2024
Sulfur isotope anomalies in coal combustion: Applications to the present and early Earth environmentsYanan Shen, Qixin Zhang, Yilun Xu, et al.
Expert Systems with Applications|August 29, 2022
Using gravity model to make store closing decisions: A data driven approachMohsen Bahrami, Yilun Xu, Miles Tweed, et al.
BMC Cancer|September 5, 2022
Integration of clinical and transcriptomics reveals programming of the lipid metabolism in gastric cancerYanyan Li, Jungang Zhao, Renpin Chen, et al.
The Review of Scientific Instruments|November 30, 2019
A low level radio frequency system drift compensation technique by time-multiplexing pick-up/reference signalsZhenyang Lin, Yingchao Du, Wenhui Huang, et al.
The Review of Scientific Instruments|December 31, 2020
Application of a drift compensation low-level radio frequency system based on time-multiplexing pick-up/reference signalsZhenyang Lin, Yingchao Du, Gang Huang, et al.
Scandinavian Journal of Gastroenterology|February 16, 2022
Effect of serum vitamin D on metabolic associated fatty liver disease: a large population-based studyYaqi Guan, Yilun Xu, Huang Su, et al.
HPB : the Official Journal of the International Hepato Pancreato Biliary Association|February 21, 2023
The utility of Vision Transformer in preoperatively predicting microvascular invasion status of hepatocellular carcinomaYilun Xu, Yingying Chen, Jinming Wu, et al.
Drug Design, Development and Therapy|April 14, 2020
Alginate Suppresses Liver Fibrosis Through the Inhibition of Nuclear Factor-κB SignalingZiqiang Xia, Li Ding, Juzeng Zheng, et al.
Physical Review Letters|January 26, 2026
Noncommutativity as a Universal Characterization for Enhanced Quantum MetrologyNingxin Kong, Haojie Wang, Mingsheng Tian, et al.
BMC Medical Informatics and Decision Making|January 3, 2024
Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approachXiaoli Wu, Hao Wu, Shouliang Miao, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
Proceedings of the National Academy of Sciences of the United States of America|December 9, 2024
Sulfur isotope anomalies in coal combustion: Applications to the present and early Earth environmentsYanan Shen, Qixin Zhang, Yilun Xu, et al.
Expert Systems with Applications|August 29, 2022
Using gravity model to make store closing decisions: A data driven approachMohsen Bahrami, Yilun Xu, Miles Tweed, et al.
BMC Cancer|September 5, 2022
Integration of clinical and transcriptomics reveals programming of the lipid metabolism in gastric cancerYanyan Li, Jungang Zhao, Renpin Chen, et al.
The Review of Scientific Instruments|November 30, 2019
A low level radio frequency system drift compensation technique by time-multiplexing pick-up/reference signalsZhenyang Lin, Yingchao Du, Wenhui Huang, et al.
The Review of Scientific Instruments|December 31, 2020
Application of a drift compensation low-level radio frequency system based on time-multiplexing pick-up/reference signalsZhenyang Lin, Yingchao Du, Gang Huang, et al.
Scandinavian Journal of Gastroenterology|February 16, 2022
Effect of serum vitamin D on metabolic associated fatty liver disease: a large population-based studyYaqi Guan, Yilun Xu, Huang Su, et al.
HPB : the Official Journal of the International Hepato Pancreato Biliary Association|February 21, 2023
The utility of Vision Transformer in preoperatively predicting microvascular invasion status of hepatocellular carcinomaYilun Xu, Yingying Chen, Jinming Wu, et al.
Drug Design, Development and Therapy|April 14, 2020
Alginate Suppresses Liver Fibrosis Through the Inhibition of Nuclear Factor-κB SignalingZiqiang Xia, Li Ding, Juzeng Zheng, et al.
Physical Review Letters|January 26, 2026
Noncommutativity as a Universal Characterization for Enhanced Quantum MetrologyNingxin Kong, Haojie Wang, Mingsheng Tian, et al.
BMC Medical Informatics and Decision Making|January 3, 2024
Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approachXiaoli Wu, Hao Wu, Shouliang Miao, et al.
Pageof 4