Zobrazeno 1 - 10
of 2 269
pro vyhledávání: '"Qinghua Wang"'
Autor:
Wang, Qing-Hua1,2 (AUTHOR), Li, Yun-Feng1,2,3 (AUTHOR), Han, Wei4,5 (AUTHOR), Wang, Jun-Jie6 (AUTHOR), Jia, Yu1,2 (AUTHOR) yjia@ibcas.ac.cn
Publikováno v:
Journal of Bryology. Jul2024, p1-7. 7p. 5 Illustrations.
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-23 (2024)
Abstract Background The efficiency of medical services directly impacts the economic burden of healthcare, making it crucial to analyze the input-output efficiency of various types of medical institutions. However, while hospitals had been extensivel
Externí odkaz:
https://doaj.org/article/f7d7d8ff0db444f18b0f3327f63061f4
Autor:
Qinghua Wang, Tingting Du, Zhihui Zhang, Qingyang Zhang, Jie Zhang, Wenbin Li, Jian-Dong Jiang, Xiaoguang Chen, Hai-Yu Hu
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 14, Iss 10, Pp 4431-4442 (2024)
Chlorogenic acid (CGA) is a natural product that effectively inhibits tumor growth, demonstrated in many preclinical models, and phase II clinical trials for patients with glioma. However, its direct proteomic targets and anticancer molecular mechani
Externí odkaz:
https://doaj.org/article/8247d7f9a4954166ba1c01e28325080e
Autor:
Wenjiang Wu, Deqiang Qi, Yalong Chen, Jiaqi Wang, Ganggang Zhang, Qinghua Wang, Hongbin Niu, Quanzhi Zhao, Ting Peng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Rice grown in cadmium (Cd)-contaminated soil, is a potential threat to human health, but exogenous selenium (Se) application on rice can mitigate Cd toxicity. However, the mechanisms underlying Se mitigation of Cd stress in ratoon rice (RR)
Externí odkaz:
https://doaj.org/article/0819a5a4619f444e93b09bc5c66fc0eb
Autor:
Yijia Liang, Changying Zhao, Yan Wen, Dashuang Sheng, Tiantian Wei, Tianqi Hu, Junhui Dai, Guoping Zhao, Sijie Yang, Qinghua Wang, Lei Zhang
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
ObjectiveThis study aimed to identify immune states associated with a high risk of preterm birth by immunophenotyping in pregnant populations, and to elucidate the characteristics of immune subtypes and their relationships with preterm birth. Additio
Externí odkaz:
https://doaj.org/article/92a19f584c2c469fb2ed52da04376ab1
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105212- (2024)
The coal-fired power plant (CFPP) coupled with the molten salt thermal energy storage system is a potential way to improve its flexibility and peak-shaving ability. The steam generation system (SGS) is a suitable choice to convert the feed water into
Externí odkaz:
https://doaj.org/article/2c4cc5a8328447ce84e0d560f2325a5b
Autor:
Yuting Li, Qinghua Wang, Xiaopan Gao, Jinyang Zheng, Wenjing Zhang, Yanfeng Ren, Wei Shen, Wei Su, Ping Lu
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundCurrently developed molecular markers can predict the effectiveness of cancer immunotherapy and screen beneficiaries to some extent, but they are not stable enough. Therefore, there is an urgent need for discovering novel biomarkers. At the
Externí odkaz:
https://doaj.org/article/7eae41302d2a47b0870fc08fb8fbcc12
Autor:
Yicong Yao, Qinghua Wang, Wei Jiang, Haopeng Li, Xilei Li, Tong Zi, Xin Qin, Yan Zhao, Denglong Wu, Gang Wu
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37075- (2024)
Prostate cancer is a significant contributor to cancer-related mortality, and the tumor typically develops into castration-resistant prostate cancer (CRPC). Hence, few effective clinical strategies are available to patients with advanced disease. Ext
Externí odkaz:
https://doaj.org/article/6caa6287162040db912431a21c059266
Lipoproteins and metabolites in diagnosing and predicting Alzheimer’s disease using machine learning
Autor:
Fenglin Wang, Aimin Wang, Yiming Huang, Wenfeng Gao, Yaqi Xu, Wenjing Zhang, Guiya Guo, Wangchen Song, Yujia Kong, Qinghua Wang, Suzhen Wang, Fuyan Shi
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that poses a substantial economic burden. The Random forest algorithm is effective in predicting AD; however, the key factors influencing AD onset remain unclear.
Externí odkaz:
https://doaj.org/article/9a54b064bc9448bc960c531bbb9b29a5
Publikováno v:
Shipin Kexue, Vol 45, Iss 7, Pp 52-60 (2024)
In this study, 12 phenolic acids were theoretically calculated using the M06-2X functional. To explain their antioxidant and solvation effects, bond dissociation enthalpy (BDE), ionization potential (IP), proton dissociation enthalpy (PDE), proton af
Externí odkaz:
https://doaj.org/article/442778ee2b8b4388957f951bf97b6149