Zobrazeno 1 - 10
of 40
pro vyhledávání: '"YIYANG GU"'
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Acute myocardial infarction (AMI) is a leading cause of death worldwide. Mitochondrial dysfunction is a key determinant of cell death post-AMI. Preventing mitochondrial dysfunction is thus a key therapeutic strategy. This study ai
Externí odkaz:
https://doaj.org/article/edf7ce08d5164fb2a275683002dde485
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Camellia oleifera is a kind of high-quality oil supply species. Its seeds contain rich unsaturated fatty acids and antioxidant active ingredients, which is a kind of high-quality edible oil. In this study, we used bioinformatics methods to decipher a
Externí odkaz:
https://doaj.org/article/ebeb73cf7e8847c9a5093a4820db37dd
Publikováno v:
BMC Plant Biology, Vol 21, Iss 1, Pp 1-16 (2021)
Abstract Background The oil-tea tree (Camellia oleifera Abel.) is a woody tree species that produces edible oil in the seed. C. oleifera oil has high nutritional value and is also an important raw material for medicine and cosmetics. In China, due to
Externí odkaz:
https://doaj.org/article/0d79ae07edb841e6b3060a7033b965c3
Publikováno v:
Frontiers in Plant Science, Vol 10 (2020)
The tung tree is an important woody oil tree species. Tung oil extracted from the tung fruit seeds is used in the manufacture of environmentally friendly paint. This study investigated the effects of the application of brassinolide (BR) under differe
Externí odkaz:
https://doaj.org/article/8f38d93217e8497793eb7dc7b6482a9b
Publikováno v:
Neural Networks. 158:359-368
Unsupervised graph-level representation learning has recently shown great potential in a variety of domains, ranging from bioinformatics to social networks. Plenty of graph contrastive learning methods have been proposed to generate discriminative gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa0d414e3a3cfeaa5e8164a6e5e5db52
https://doi.org/10.1016/j.neunet.2022.11.019
https://doi.org/10.1016/j.neunet.2022.11.019
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Mar2024, Vol. 20 Issue 3, p1-19, 19p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Feb2024, Vol. 18 Issue 2, p1-23, 23p
Autor:
XIAO LUO, DAQING WU, YIYANG GU, CHONG CHEN, LUCHEN LIU, JINWEN MA, MING ZHANG, MINGHUA DENG, JIANQIANG HUANG, XIAN-SHENG HUA
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jan2024, Vol. 18 Issue 1, p1-26, 26p
Autor:
Yiyang Gu
Publikováno v:
Highlights in Science, Engineering and Technology. 5:223-228
Contemporarily, the researches of the quantum Hall effect (QAHE) leads an intensive potentiality of topological insulators and corresponding quantum computing. The QAHE was considered as the last member of the family of Hall effect. In this paper, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adb73a3fd42ea6644d9624cec36a021c
https://doi.org/10.54097/hset.v5i.746
https://doi.org/10.54097/hset.v5i.746
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
This article studies self-supervised graph representation learning, which is critical to various tasks, such as protein property prediction. Existing methods typically aggregate representations of each individual node as graph representations, but fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9028b66bc8a31a421a1cac1f2041631b
https://doi.org/10.1109/tnnls.2022.3177775
https://doi.org/10.1109/tnnls.2022.3177775