Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Junyan Xia"'
Autor:
Long Xie, Tianshi Mao, Qun Gao, Yi Pan, Zhifei Yang, Xinyan Qu, Ruli Feng, Junyan Xia, Qian Lin, Jie Wan
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36327- (2024)
Objective: This study utilized network meta-analysis (NMA) to compare the efficacy of five commonly used traditional Chinese medicine monomers in reducing intimal hyperproliferation in arterial balloon injury models. Methods: Relevant literature up t
Externí odkaz:
https://doaj.org/article/2b535bb8b07349819334489451b6e4f2
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19750- (2023)
Background: Understanding the effects of a delayed time-to-treatment initiation(TTI) for non-small cell lung cancer (NSCLC) is vital. Methods: We analyzed NSCLC data from the Surveillance, Epidemiology, and End Results database, focusing on lung aden
Externí odkaz:
https://doaj.org/article/7318188fc1e54a7d9444008d6072a9a6
Autor:
Cong Chen, Qian Lin, Xue-Ying Zhu, Junyan Xia, Tianshi Mao, Tiange Chi, Jie Wan, Jin-Jin Lu, Yan Li, Jie Cui, Jing Liu, Xiao-Yun Cui, Jingqian Zhang, Kun Zhou, Dong Li
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Objective: Myocardial ischemia/reperfusion (I/R) injury is one of the causes of most cardiomyocyte injuries and deaths. Berberine (BBR) has been suggested a potential to exert protective effects against myocardial I/R injury. This systematic review a
Externí odkaz:
https://doaj.org/article/5fc7c7328b7849999ff2851626e13a7f
Autor:
Ruli Feng, Qian Lin, Dawei Wei, Yan Li, Rong Zhang, Kaixin Jiang, Yuxuan Li, Long Xie, Junyan Xia, Peixun Zheng, Xiang Ji, Wujiao Wang, Xinyan Qu, Qun Gao, Yi Pan, Jing Liu
Publikováno v:
Medicine; 10/13/2023, Vol. 102 Issue 41, p1-10, 10p
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract To assess the level of both pro-inflammatory and anti-inflammatory cytokines in the aqueous humor (AH) of patients suffering from uveitis, with or without coexisting glaucoma, and compare them with patients diagnosed with primary open-angle
Externí odkaz:
https://doaj.org/article/8ad157822e524d08a2d9f20e15d0270e
Autor:
Xingxing Li, Dong Li, Xiaoyun Cui, Kun Zhou, Jing Liu, Zongjing Fan, Jinjin Lu, Jie Wan, Rongkun Yan, Junyan Xia, Xing Li, Yang Wu, Qian Lin, Yan Li
Publikováno v:
Evidence-Based Complementary and Alternative Medicine. 2021:1-7
Background. It is known to all the doctors and patients that both the morality and incidence rate of chronic heart failure (CHF) are quite high among various heart diseases. Traditional Chinese medicine (TCM) comprehensive intervention becomes a risi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61cb4f569230adc1c8c3c99ba0490d62
https://doi.org/10.1155/2021/4577139
https://doi.org/10.1155/2021/4577139
Publikováno v:
BCP Education & Psychology. 3:71-77
The Enlightenment shaped and transformed European society in many ways. This paper illustrates how thinkers like Martin Luther and Jean Jacques Rousseau proposed their thoughts on education, which then played an important role in the educational refo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50751f8500f966e1fc0eb1a6475eab17
https://doi.org/10.54691/bcpep.v3i.14
https://doi.org/10.54691/bcpep.v3i.14
Autor:
Aodong Zhu, Lin Chen, Ao Zhang, Chenpu Zhu, Xinxin Zhang, Jie Zhong, Fuzhi Huang, Yi-Bing Cheng, Junyan Xiao
Publikováno v:
eScience, Vol 4, Iss 2, Pp 100221- (2024)
Carbon-based perovskite solar cells (C-PSCs) are promising candidates for large-scale photovoltaic applications due to their theoretical low cost and high stability. However, the fabrication of high-performance C-PSCs with large-area electrodes remai
Externí odkaz:
https://doaj.org/article/da398d19dd9745958d769ecb0d3a31f0
Autor:
Cong Chen, JunYan Xia, Ruli Feng, Jie Wan, Kun Zhou, Qian Lin, Dong Li, Chen, Cong, Xia, JunYan, Feng, Ruli, Wan, Jie, Zhou, Kun, Lin, Qian, Li, Dong
Publikováno v:
Medicine; 3/12/2021, Vol. 100 Issue 10, p1-8, 8p
Publikováno v:
Sensors, Vol 24, Iss 11, p 3545 (2024)
Multi-modal medical image fusion (MMIF) is crucial for disease diagnosis and treatment because the images reconstructed from signals collected by different sensors can provide complementary information. In recent years, deep learning (DL) based metho
Externí odkaz:
https://doaj.org/article/f101a5a5278041a4929846c5bb3d591f