Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Yanbo Zhou"'
Publikováno v:
Green Energy & Environment, Vol 9, Iss 11, Pp 1666-1678 (2024)
Emerging contaminants (ECs) are widely present in aquatic environments, posing potential risks to both ecosystems and human health. The ultrasound-assisted persulfate oxidation process has attracted considerable attention in the degradation of ECs du
Externí odkaz:
https://doaj.org/article/add32ddfde2b4e7a9369accf60ed3cca
Autor:
Xiaolin Huang, Zhong Huang, Qiang Li, Wenjun Li, Chong Han, Yukai Yang, Heizhao Lin, Qiaer Wu, Yanbo Zhou
Publikováno v:
Animals, Vol 14, Iss 9, p 1346 (2024)
The rabbitfish, Siganus oramin, is a commercially important table fish in southeastern China. However, there have been few studies on its gonad development and reproduction regulation. Comparative transcriptome analysis was first performed on adult m
Externí odkaz:
https://doaj.org/article/afdcdb49ccc64a8d96e5f87205c23e89
Publikováno v:
PeerJ Computer Science, Vol 9, p e1393 (2023)
Social recommendation aims to improve the performance of recommendation systems with additional social network information. In the state of art, there are two major problems in applying graph neural networks (GNNs) to social recommendation: (i) Socia
Externí odkaz:
https://doaj.org/article/e2d0ff906e3b4a8abc709fb5e23d36a3
Autor:
Zhengli Luo, Yanbo Zhou, Ning Liu, Liangming Wang, Yan Liu, Binbin Shan, Manting Liu, Cheng Chen, Changping Yang, Dianrong Sun
Publikováno v:
Fishes, Vol 8, Iss 10, p 511 (2023)
This study explored the ecological niche and interspecific relationships among the main fish species in the coastal waters of Hainan Island based on data from fishery stock surveys conducted in the spring and autumn of 2022. The methods of chi-square
Externí odkaz:
https://doaj.org/article/c68d52459f394f5fae162e780e73a9d1
Publikováno v:
Frontiers in Environmental Science, Vol 9 (2022)
This study investigated the satisfaction of fishermen with the summer fishing moratorium system in the three provinces of the South China Sea through a questionnaire survey and explored the degree of its influencing factors. A multistage random sampl
Externí odkaz:
https://doaj.org/article/4d190bbcb70e472b97f205e53f451ffc
Publikováno v:
Water, Vol 15, Iss 1, p 71 (2022)
Acoustic conditioning taming technology is one of the key tools for controlling and managing the behavior of target organisms in marine ranching. In this study, juvenile Pagrus major (Red Seabream) were subjected to acoustic conditioning taming with
Externí odkaz:
https://doaj.org/article/5079a8553f204a6e9009e2ceeb40ce4d
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Pericytes are perivascular multipotent cells located on capillaries. Although pericytes are discovered in the nineteenth century, recent studies have found that pericytes play an important role in maintaining the blood—brain barrier (BBB) and regul
Externí odkaz:
https://doaj.org/article/577eda55bf88416eaeef48844d0f3fb9
Publikováno v:
IEEE Access, Vol 6, Pp 56018-56028 (2018)
Friend recommendation is important and inevitable in social network. However, many recommendation strategies of social networks are not necessarily consistent with user's interests. In order to avoid the randomness and unreliability of friend recomme
Externí odkaz:
https://doaj.org/article/3aa170b0ed804e0790d31a9dca231224
Publikováno v:
Water, Vol 13, Iss 21, p 3004 (2021)
Water pollution caused by organic pollutants and pathogenic microorganism is a critical issue. In this study, we reported a silver-modified β-cyclodextrin polymer (CD-CA/PDA-Ag) used for the removal of dyes and the suppression of microorganisms from
Externí odkaz:
https://doaj.org/article/e74ec1a0191446628738fea4378b43c6
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0120735 (2015)
Prediction is an important problem in different science domains. In this paper, we focus on trend prediction in complex networks, i.e. to identify the most popular nodes in the future. Due to the preferential attachment mechanism in real systems, nod
Externí odkaz:
https://doaj.org/article/d97934307acf4f54944c86b3e285936b