Zobrazeno 1 - 10
of 3 830
pro vyhledávání: '"Jun, Wan"'
Autor:
Yu-Qi Yang, Jing-Jing Da, Sheng Nie, Jing Yuan, Bi-Cheng Liu, Hua-Feng Liu, Qiong-Qiong Yang, Hua Li, Gang Xu, Jian-Ping Weng, Yao-Zhong Kong, Qi-Jun Wan, Gui-Sen Li, Chun-Bo Chen, Hong Xu, Ying Hu, Yong-Jun Shi, Yi-Lun Zhou, Guo-Bin Su, Ying Tang, Fan-Fan Hou, Yan Zha
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/72e6135b7a524a75877d335e806c3a9f
Autor:
Mei-fang Shang, Yuan Cheng, Dong-li Qi, Sheng-chun Wu, Ling-qiao Wei, Xun Qin, Ji Cen, Qi-jun Wan, Zhe Wei
Publikováno v:
Linchuang shenzangbing zazhi, Vol 24, Iss 6, Pp 452-458 (2024)
Objective To explore the influencing factors the combination of acute renal tubular injury (ARTI) in patients with idiopathic membranous nephropathy (IMN) in a multi-ethnic area of Guangxi. Methods From April 2013 to October 2021, 155 patient
Externí odkaz:
https://doaj.org/article/e84aab51202c4d1d8d07f3b055705923
Autor:
Jun Wan, Yukai Zeng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aimed to establish a machine learning (ML) model for predicting hepatic metastasis in esophageal cancer. We retrospectively analyzed patients with esophageal cancer recorded in the Surveillance, Epidemiology, and End Results (SEER
Externí odkaz:
https://doaj.org/article/81b0a65c009f45d98ce3a6d041a7316e
Autor:
Shuai Zhang, Yishan Li, Yuanhua Yang, Sugang Gong, Zhenwen Yang, Cheng Hong, Xiaopei Cui, Jun Wan, Yingqun Ji, Hong Chen, Ling Zhu, Chenghong Li, Zhaozhong Cheng, Yunhui Zhang, Qiguang Wang, Qin Luo, Lu Guo, Guofeng Ma, Baoshi Han, Zhihong Liu, Changming Xiong, Lan Wang, Qiushang Ji, Fajiu Li, Shengfeng Wang, Zhu Zhang, Yunxia Zhang, Dingyi Wang, Qian Gao, Qiang Huang, Wanmu Xie, Zhenguo Zhai, Chen Wang
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Chronic thromboembolic pulmonary hypertension (CTEPH) is a progressive pulmonary vascular disorder with substantial morbidity and mortality, also a disease underdiagnosed and undertreated. It is potentially curable by pulmonary en
Externí odkaz:
https://doaj.org/article/026d62af1d194d9d84b39e756824c3a5
Publikováno v:
Linchuang shenzangbing zazhi, Vol 24, Iss 4, Pp 324-328 (2024)
Diabetes mellitus (DM) is a metabolic disease characterized by chronic hyperglycemia due to multiple etiological factors. In diabetics, lipid accumulation may cause lipid peroxidation and cell membrane lipid oxidation, leading to cellular injuries an
Externí odkaz:
https://doaj.org/article/36af6d493981463facbfad0cbefbe2c9
Autor:
Peiran Yang, Xin Liu, Yu Zhang, Qin Luo, Zhenguo Zhai, Jun Wan, Guohui Fan, Dingyi Wang, Yanshuang Lyu, Xiaomao Xu, Yinong Chen
Publikováno v:
BMJ Open, Vol 14, Iss 8 (2024)
Objective We aimed to investigate the risk factors for acute kidney injury (AKI) after normotensive pulmonary embolism (PE) and the impact of anticoagulation on renal recovery.Design Multicentred, retrospective cohort study.Setting Data from four ter
Externí odkaz:
https://doaj.org/article/7437a007345e43f5bd9c99c96f5e0c5d
Autor:
Yuyang Liu, Yaheng Tan, Jun Wan, Qiwen Chen, Yuxin Zheng, Wenhao Xu, Peng Wang, Weelic Chong, Xueying Yu, Yu Zhang
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33460- (2024)
Objective: This study examines the C-reactive protein (CRP)/albumin ratio (CAR) as an inflammation-based prognostic score for predicting mortality in patients with Traumatic Brain Injury (TBI). Methods: We systematically searched the electronic datab
Externí odkaz:
https://doaj.org/article/79cc2d22bf3f4fddaf19f88e932a153f
Autor:
Yu-Ying Shi, Si-Yuan Liao, Qiao-Feng Wang, Xin-Yun Xu, Xiao-Yun Wang, Xin-Yin Gu, You-Gen Hu, Peng-Li Zhu, Rong Sun, Yan-Jun Wan
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-14 (2024)
Highlights A strategy based on metal-organic decomposition is proposed to enhance the tube-tube interactions of carbon nanotubes (CNTs). The robust tube-tube interactions of CNTs enhance both EMI shielding performance and mechanical properties of CNT
Externí odkaz:
https://doaj.org/article/5fc34887c05f40909f652bb20a03b2df
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6290-6307 (2024)
The performance of a deep learning-based synthetic aperture radar (SAR) automatic target recognition (ATR) model largely relies on the scale and quality of training samples. However, it is time-consuming and expensive to collect sufficient data in pr
Externí odkaz:
https://doaj.org/article/21154856379242e79bdac8567fa2d002
Publikováno v:
南方能源建设, Vol 11, Iss 1, Pp 196-204 (2024)
[Introduction] The distribution characteristics of mountain fires by using the historical disaster data of mountain fires related to transmission lines in Hubei province has been analyzed. [Method] Based on the mountain fire disaster data of transmis
Externí odkaz:
https://doaj.org/article/f99a150e988344d3bb7bc13e63aa1cc0