Zobrazeno 1 - 10
of 1 842
pro vyhledávání: '"ZHANG Changqing"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 2, Pp 145-160 (2024)
Objective·To explore the relationship between osteoarthritis and nicotinamide metabolism-related genes using bioinformatics analysis, and identify key genes with diagnostic value and therapeutic potential.Methods·By using "Osteoarthritis" as a sear
Externí odkaz:
https://doaj.org/article/ccd2f5e81592453ebf07ea1845e600b1
Publikováno v:
生物医学转化, Vol 4, Iss 4, Pp 31-35 (2023)
Osteoarthritis (OA) is a chronic disease characterized by cartilage damage. At present, targeted drugs are undeveloped due to unknown pathogenesis. In recent years, many studies have shown that abnormal energy metabolism such as mitochondrial dysfunc
Externí odkaz:
https://doaj.org/article/dc1a6eec53e94802aeb286d06356abe7
Publikováno v:
Nanotechnology Reviews, Vol 12, Iss 1, Pp 4-12 (2023)
The smart membrane is a new type of functional membrane. The performance of this membrane is changed according to the variations in external physical and chemical signals. This membrane has become an essential focus in specific recognition, catalysis
Externí odkaz:
https://doaj.org/article/d85b599d4757417bbb7f7c18ec8f78a8
Publikováno v:
Nanotechnology Reviews, Vol 12, Iss 1, Pp 2373-84 (2023)
In recent years, silica-based polymer nanofluids (NFs) have attracted more and more attention because they can enhance temperature and salt tolerance. This study summarized the research progress and prospects of silica-based polymer NFs in enhanced o
Externí odkaz:
https://doaj.org/article/b361fe6962364e8781d704555331c8b6
Autor:
ZHANG Changqing, WANG Shuwen, LUO Dechun, SHI Wenchen, LIU Xiao, CUI Guosheng, CHEN Boyang, XIN Zhou, RUI Zhiyuan
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 5, Pp 35-42 (2022)
Continuous drive friction welding technology was used to weld pure aluminum 1060/Q235 low carbon steel dissimilar material joints, and two cycles (30 d/60 d) thermoelectric coupling test (static load 392 N +high temperature 300 ℃+DC 60 A) was carri
Externí odkaz:
https://doaj.org/article/a58c00ebd7f84731af977d6520bd696b
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 619-625 (2022)
Many breast cancer patients have both non-alcoholic fatty liver disease (NAFLD) and non-alcoholic fatty pancreas disease (NAFPD). Consequently, we hypothesized that NAFPD and NAFLD were associated with breast cancer, and aimed to build a novel risk-s
Externí odkaz:
https://doaj.org/article/2f1161f29c304b7e8ce472841f35f6dc
Out-of-distribution (OOD) detection is crucial for ensuring reliable deployment of machine learning models. Recent advancements focus on utilizing easily accessible auxiliary outliers (e.g., data from the web or other datasets) in training. However,
Externí odkaz:
http://arxiv.org/abs/2411.14049
The inherent challenge of image fusion lies in capturing the correlation of multi-source images and comprehensively integrating effective information from different sources. Most existing techniques fail to perform dynamic image fusion while notably
Externí odkaz:
http://arxiv.org/abs/2411.02840
Machine learning models must continuously self-adjust themselves for novel data distribution in the open world. As the predominant principle, entropy minimization (EM) has been proven to be a simple yet effective cornerstone in existing test-time ada
Externí odkaz:
http://arxiv.org/abs/2410.10894
Autor:
Zhang, Qingyang, Feng, Qiuxuan, Zhou, Joey Tianyi, Bian, Yatao, Hu, Qinghua, Zhang, Changqing
Out-of-distribution (OOD) detection is essential for model trustworthiness which aims to sensitively identify semantic OOD samples and robustly generalize for covariate-shifted OOD samples. However, we discover that the superior OOD detection perform
Externí odkaz:
http://arxiv.org/abs/2410.11576