Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Kexin FAN"'
Autor:
Wenjun Li, Huilin Ma, Wu Tang, Kexin Fan, Shan Jia, Jian Gao, Ming Wang, Yan Wang, Bei Cao, Cong Fan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The large void space of organic electrodes endows themselves with the capability to store different counter ions without size concern. In this work, a small-molecule organic bipolar electrode called diquinoxalino[2,3-a:2’,3’-c]phenazine-
Externí odkaz:
https://doaj.org/article/bf1cb6da84e048ac93ab360219353b7a
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Proactive health behaviours are crucial for enhancing adolescent health. However, there is limited evidence on the potential pathways through which social support influences adolescents’ proactive health behaviours. This cross-s
Externí odkaz:
https://doaj.org/article/a6c2436f6a1a4484af5e807d36077ffc
Autor:
Jin Wang, Minglin Wang, Shaobo Wu, Yanan Zhu, Kexin Fan, Yuhan Chen, Zhengtao Xiao, Jing Chen, Kangsheng Tu, Dongsheng Huang, Yilei Zhang, Qiuran Xu
Publikováno v:
Oncogenesis, Vol 13, Iss 1, Pp 1-11 (2024)
Abstract BAP1, BRCA1-Associated Protein 1, serves as a novel tumor suppressor through the deubiquitination of monoubiquitination of H2A and subsequent gene transcriptional regulation. Regulated cell death like apoptosis or ferroptosis is considered a
Externí odkaz:
https://doaj.org/article/5bf0559bd36e4f91963b65f9f14edbc5
Autor:
Zhan Liu, Kexin Fan, Aikedaimu Abudukeremu, Min Gao, Xinyue Tan, Xiaojuan Mao, Xinyu Li, Wenting Ma, Xusheng Ma, Caolong Li, Yinglai Yang, Kangsheng Tu, Jing Chen, Yilei Zhang, Yaqun Guan
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract LIMA1 is a LIM domain and Actin binding 1 protein that acts as a skeleton protein to promote cholesterol absorption, which makes it an ideal target for interfering with lipid metabolism. However, the detailed regulation of LIMA1 remains uncl
Externí odkaz:
https://doaj.org/article/5720a4e9218945a0a86eff0bb7a43dd0
Autor:
Tingli Guo, Wenhui Yan, Xin Cui, Na Liu, Xiaotong Wei, Yuzhuo Sun, KeXin Fan, Jieyun Liu, Yuanyuan Zhu, Zhuanzhuan Wang, Yilei Zhang, Lina Chen
Publikováno v:
Molecular Medicine, Vol 29, Iss 1, Pp 1-17 (2023)
Abstract Background Non-alcoholic fatty liver disease (NAFLD) is one of the most common complications of type 2 diabetes mellitus (T2DM). The pathogenesis of NAFLD involves multiple biological changes, including insulin resistance, oxidative stress,
Externí odkaz:
https://doaj.org/article/2535d181d9854339ac5dfd3b41529ddd
Publikováno v:
AIMS Mathematics, Vol 8, Iss 2, Pp 4726-4752 (2023)
Based on the perspective of government and enterprises, we explore the cooperative strategy and cost-sharing problem of cooperative open sharing of data between government and enterprises. In order to accurately analyze the data-opening strategies of
Externí odkaz:
https://doaj.org/article/b524d647578e4dd2b6fbbef8c0bd0046
Publikováno v:
Zhongguo shuxue zazhi, Vol 35, Iss 10, Pp 1031-1034 (2022)
Objective To investigate the incidence and possible risk factors of FMH among pregnant women in Changsha. Methods A total of pregnant women (6~42 weeks of gestation) who underwent prenatal examinations in our hospital from June 2019 to December 2020
Externí odkaz:
https://doaj.org/article/e8d69fa4b8ce4ad6a4fb822d9279d819
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
BackgroundStudies examining weight change patterns and depression are scarce and report inconsistent findings. This study—aimed to elucidate the association between weight change patterns and the risk of depression in a large, representative sample
Externí odkaz:
https://doaj.org/article/9279871f8e514deb83918055154a5632
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 6, Pp n/a-n/a (2023)
The use of smartphone‐based analysis systems has been increasing over the past few decades. Among the important reasons for its popularity are its ubiquity, increasing computing power, relatively low cost, and capability to acquire and process data
Externí odkaz:
https://doaj.org/article/0cb8df4c18c440aca861069360b3c5f2
Autor:
Ningjie Zhang, Kexin Fan, Hongwen Ji, Xianjun Ma, Jingyi Wu, Yuanshuai Huang, Xinhua Wang, Rong Gui, Bingyu Chen, Hui Zhang, Zugui Zhang, Xiufeng Zhang, Zheng Gong, Yongjun Wang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundSelecting features related to postoperative infection following cardiac surgery was highly valuable for effective intervention. We used machine learning methods to identify critical perioperative infection-related variables after mitral val
Externí odkaz:
https://doaj.org/article/d163bf7e81bb4f119265c6aed752d33e