Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Jianxiong Gao"'
Autor:
Longbin Zhang, Jianxiong Gao, Yulong Liu, Zhengyuan Zhou, Xianxian Sheng, Dexiao Li, Yuantian Chen, Shuguang Lyu
Publikováno v:
Water Science and Technology, Vol 89, Iss 7, Pp 1682-1700 (2024)
In this research, ascorbic acid (AA) was used to enhance Fe(II)/Fe(III)-activated permonosulfate (PMS) systems for the degradation of fluoranthene (FLT). AA enhanced the production of ROS in both PMS/Fe(II) and PMS/Fe(III) systems through chelation a
Externí odkaz:
https://doaj.org/article/41a28cc7517f4b79b97de8c218bc41ae
Autor:
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Renyuan Li, Yuetao Wang
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC). Methods Retrospective da
Externí odkaz:
https://doaj.org/article/eacda03bf80b4cd899c9b73435d7bcea
Publikováno v:
Smart Molecules, Vol 2, Iss 2, Pp n/a-n/a (2024)
Abstract Aqueous rechargeable batteries using abundant multi‐ion cations have received increasing attention in the energy storage field for their high safety and low cost. Layered double hydroxides (LDHs) possess a two‐dimensional structure and e
Externí odkaz:
https://doaj.org/article/f282cd398d294666be047e27773ee4cf
Autor:
Li Dong, Lie Ju, Shiqi Hui, Lihua Luo, Xue Jiang, Zihan Nie, Ruiheng Zhang, Wenda Zhou, Heyan Li, Jost B. Jonas, Xin Wang, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao, Zongyuan Ge, Wenbin Wei, Dongmei Li
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Background Screening for hyperthyroidism using gold-standard diagnostic criteria in the general population is not cost-effective, leading to a relatively high rate of undiagnosed and untreated patients. This study aimed to establish a deep l
Externí odkaz:
https://doaj.org/article/4955f1432cea487581090f4282215fd1
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Lung cancer, the most frequently diagnosed cancer worldwide, is the leading cause of cancer-associated deaths. In recent years, significant progress has been achieved in basic and clinical research concerning the epidermal growth factor receptor (EGF
Externí odkaz:
https://doaj.org/article/9cbee6959cf04001a59ebbf9f19471ab
Autor:
Jianxiong Gao, Rong Niu, Yunmei Shi, Xiaoliang Shao, Zhenxing Jiang, Xinyu Ge, Yuetao Wang, Xiaonan Shao
Publikováno v:
EJNMMI Research, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Background This study aims to construct radiomics models based on [18F]FDG PET/CT using multiple machine learning methods to predict the EGFR mutation status of lung adenocarcinoma and evaluate whether incorporating clinical parameters can i
Externí odkaz:
https://doaj.org/article/ee5fd8fcadd34e44bb00b448a673af17
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract To model and evaluate the reliability of wind turbine (WT) under imperfect repair, an improved Log-linear Proportional Intensity Model (LPIM)-based method was proposed. Initially, using the three-parameter bounded intensity process (3-BIP) a
Externí odkaz:
https://doaj.org/article/c4c6b1cbcc5d4f3eb1c45628df102685
Publikováno v:
Mathematics, Vol 11, Iss 18, p 4013 (2023)
A novel method is proposed to investigate the pattern of variation in the residual strength and reliability of wind turbine gear. First, the interaction between loads and the effect of the loading sequence is considered based on the fatigue damage ac
Externí odkaz:
https://doaj.org/article/a7cd4ff7e4cf4d00a536c40494590994
Autor:
Xiaonan Shao, Rong Niu, Xiaoliang Shao, Jianxiong Gao, Yunmei Shi, Zhenxing Jiang, Yuetao Wang
Publikováno v:
EJNMMI Physics, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Purpose This work aims to train, validate, and test a dual-stream three-dimensional convolutional neural network (3D-CNN) based on fluorine 18 (18F)-fluorodeoxyglucose (FDG) PET/CT to distinguish benign lesions and invasive adenocarcinoma (I
Externí odkaz:
https://doaj.org/article/9441fcd5608447b39f27ca47d353e6d6
Publikováno v:
Journal of Personalized Medicine, Vol 13, Iss 3, p 396 (2023)
(1) Background: To investigate the association between maximum standardized uptake value (SUVmax) based on 18F-FDG PET/CT and EGFR mutation status in lung adenocarcinoma. (2) Methods: A total of 366 patients were retrospectively collected and divided
Externí odkaz:
https://doaj.org/article/d786cae329c548de82044c7cb83d7751