Zobrazeno 1 - 10
of 2 741
pro vyhledávání: '"Xiaolin LIU"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2476-2486 (2024)
With the development of social networks, humans express their emotions in different ways, including text, vision and speech, i.e., multimodal. In response to the failure of previous multimodal sentiment analysis methods to effectively obtain multimod
Externí odkaz:
https://doaj.org/article/dd481649ce6442d3b90d4658e9234397
Publikováno v:
Global Energy Interconnection, Vol 7, Iss 4, Pp 503-512 (2024)
Global energy and environmental issues are becoming increasingly problematic, and the vibration and noise problem of 110 kV transformers, which are the most widely distributed, have attracted widespread attention from both inside and outside the indu
Externí odkaz:
https://doaj.org/article/24bf35907d6a44a585c1249d5448bd25
Autor:
Xiaohong Xia, Xiaolin Liu, Qiong Xu, Jielei Gu, Sisi Ling, Yajing Liu, Rongxue Li, Min Zou, Siqin Jiang, Zhiwei Gao, Canshan Chen, Shiming Liu, Ningning Liu
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Ubiquitin-proteasome system (UPS) is involved in vascular smooth muscle cell (VSMC) proliferation. Deubiquitinating enzymes (DUBs) have an essential role in the UPS-regulated stability of the substrate; however, the function of DUBs in intim
Externí odkaz:
https://doaj.org/article/3cc33382f30a4b23ad5add0c831d0a1d
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 5, Pp 767-772 (2024)
Objective To compare the therapeutic effects of unicondylar knee arthroplasty (UKA) and total knee arthroplasty (TKA) on knee osteoarthritis (KOA) to provide references for the clinical selection of the best surgical approach. Methods A total of 104
Externí odkaz:
https://doaj.org/article/e8579bffce254035a84cd48d1f100944
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Sacituzumab govitecan (SG) has recently been approved in China for the post-line treatment of metastatic triple-negative breast cancer (mTNBC). SG substantially improves progression-free survival and overall survival compared with
Externí odkaz:
https://doaj.org/article/ae80cc717c714703b7caddd9f7a6a2f5
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37098- (2024)
The COVID-19 outbreak has garnered significant global attention due to its impact on human health. Despite its relatively low fatality rate, the virus affects multiple organ systems, resulting in various symptoms such as palpitations, headaches, musc
Externí odkaz:
https://doaj.org/article/ef2a570639c64c4285834ca36f6ad614
Autor:
Yiwen Wang, Yue Wang, Wenjie Han, Mengzhen Han, Xiaolin Liu, Jianying Dai, Yuesheng Dong, Tao Sun, Junnan Xu
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
BackgroundThe relationship between dysbiosis of the gastrointestinal microbiota and gastric cancer (GC) has been extensively studied. However, microbiota alterations in GC patients vary widely across studies, and reproducible diagnostic biomarkers fo
Externí odkaz:
https://doaj.org/article/5895d89d5fc14ab0a595bd4e99e6d425
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionInsomnia Disorder (ID) has become the second most prevalent mental disorder, with significant negative effects on daytime cognitive functions. Previous studies suggested that mindfulness-based music listening (MBML) can effectively improv
Externí odkaz:
https://doaj.org/article/cf304bfb22ff483bb27f30715537ebde
Autor:
Xiaolin Liu, Zongyao Wang, Xiang Lv, Zhihui Tao, Liubing Lin, Shasha Zhao, Kehui Zhang, Yong Li
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34968- (2024)
Background: The interaction between cancer cells and the tumor microenvironment is of critical importance in liver cancer. Jiedu Granule formula (JDF) has been shown to minimize the risk of recurrence and metastasis following liver cancer resection.
Externí odkaz:
https://doaj.org/article/10d1805f4d72480cb40b87120557c395
Autor:
Lihe Liu, Jiaxi Lin, Lu Liu, Jingwen Gao, Guoting Xu, Minyue Yin, Xiaolin Liu, Airong Wu, Jinzhou Zhu
Publikováno v:
Digital Health, Vol 10 (2024)
Background Nonalcoholic fatty liver disease (NAFLD) is recognized as one of the most common chronic liver diseases worldwide. This study aims to assess the efficacy of automated machine learning (AutoML) in the identification of NAFLD using a populat
Externí odkaz:
https://doaj.org/article/4163b409fa7548138c36327edbb28efa