UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse Acer truncatum leaves: A traditional herbal tea in Northern China

Autor: Long, Tingyu, Gu, Ronghui, Linghu, Chu, Long, Jingyu, Kennelly, Edward J., Long, Chunlin

Publikováno v: In Food Chemistry 15 August 2023 417

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Study on the process of abrasive water jet peening for 316L stainless steel.

Autor: Miao, Xiaojin^1,2 (AUTHOR), Long, Tingyu¹ (AUTHOR), Wu, Meiping¹ (AUTHOR), Ma, Chenglong¹ (AUTHOR), Wang, Quanlong^1,2 (AUTHOR) quanlongwang163@163.com

Publikováno v: International Journal of Advanced Manufacturing Technology. Jun2022, Vol. 120 Issue 11/12, p8321-8328. 8p.

Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma.

Autor: Wang J; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Wu D; Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina., Sun M; Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China., Peng Z; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Lin Y; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Lin H; Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina., Chen J; Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina., Long T; Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina., Li ZP; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China., Xie C; Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China., Huang B; Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina., Feng ST; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Publikováno v: BME frontiers [BME Front] 2022 Apr 04; Vol. 2022, pp. 9793716. Date of Electronic Publication: 2022 Apr 04 (Print Publication: 2022).