Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Mu Zhu"'
Publikováno v:
Sensors, Vol 23, Iss 12, p 5461 (2023)
In recent years, there has been a growing interest in the study of emotion recognition through electroencephalogram (EEG) signals. One particular group of interest are individuals with hearing impairments, who may have a bias towards certain types of
Externí odkaz:
https://doaj.org/article/6c294ab48d244ed0980e90487904818e
Autor:
Song Tang, Tiantian Li, Jianlong Fang, Renjie Chen, Yu'e Cha, Yanwen Wang, Mu Zhu, Yi Zhang, Yuanyuan Chen, Yanjun Du, Tianwei Yu, David C. Thompson, Krystal J. Godri Pollitt, Vasilis Vasiliou, John S. Ji, Haidong Kan, Junfeng Jim Zhang, Xiaoming Shi
Publikováno v:
Environment International, Vol 157, Iss , Pp 106866- (2021)
The exposome overhauls conventional environmental health impact research paradigms and provides a novel methodological framework that comprehensively addresses the complex, highly dynamic interplays of exogenous exposures, endogenous exposures, and m
Externí odkaz:
https://doaj.org/article/ccd7d75805a940c9a9b8b5e46b04669b
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 375 (2022)
Due to the fragile physicochemical properties of hazardous chemicals, the chances of leakage and explosion during production, transportation, and storage are quite high. In recent years, hazardous chemical accidents have occurred frequently, posing a
Externí odkaz:
https://doaj.org/article/f5f0bf298825486aa7c0682a907c38a3
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11464 (2022)
To fully characterize the evolution process of the topological structure of dynamic communities, we propose a dynamic community detection based on Evolutionary DeepWalk (DEDW) for the high-dimensional data and dynamic characteristics. First, DEDW sol
Externí odkaz:
https://doaj.org/article/f78c4f9b478445f8b7a7d0e20b2c1d98
Publikováno v:
IEEE Access, Vol 7, Pp 182548-182558 (2019)
Long-term visual tracking is one of the most challenging problems in computer vision and is closer to practical application needs. In long-term video sequences, tracking targets often undergo dramatic appearance changes over time due to various facto
Externí odkaz:
https://doaj.org/article/eafa81eea6eb4b39928f2a0a0beefad8
Autor:
Baizhu Lin, Tianhang Lian, Shijie Sun, Mu Zhu, Yuanhua Che, Xueqing Sun, Xibin Wang, Daming Zhang
Publikováno v:
Polymers, Vol 14, Iss 7, p 1481 (2022)
We report an ultra-broadband and compact TM-pass polarizer based on graphene-buried polymer waveguides. The characteristic parameters of the polarizer were carefully designed and optimized. The standard microfabrication processes were employed to fab
Externí odkaz:
https://doaj.org/article/26b4269551a14ccf97d30901d808df93
Autor:
Mu Zhu, Jiafan Liu, Jia Xiao, Li Yang, Mingxiang Cai, Hongyu Shen, Xiaojia Chen, Yi Ma, Sumin Hu, Zuolin Wang, An Hong, Yingxian Li, Yao Sun, Xiaogang Wang
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
Long non-coding mRNAs play important roles in muscle development and regeneration. Here the authors identify a long non-coding mRNA that promotes myogenesis by sequestering miR-125b, leading to increased expression of insulin-like growth factor 2.
Externí odkaz:
https://doaj.org/article/20a1be7cc4c248c6a9e90ca7d573fbd6
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0213236 (2019)
We study computational approaches for detecting SNP-SNP interactions that are characterized by a set of "two-locus, two-allele, two-phenotype and complete-penetrance" disease models. We argue that existing methods, which use data to determine a best-
Externí odkaz:
https://doaj.org/article/c15803076e3e4808927f05998b6d75c5
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Label propagation algorithm (LPA) is an extremely fast community detection method and is widely used in large scale networks. In spite of the advantages of LPA, the issue of its poor stability has not yet been well addressed. We propose a novel node
Externí odkaz:
https://doaj.org/article/9769e31f966b4cf7bbf4fcfa9bed0aac
Autor:
Yaqiang Cao, Yuanyuan Chen, Ke Miao, Shuyi Zhang, Fuchang Deng, Mu Zhu, Chao Wang, Wen Gu, Yixuan Huang, Zijin Shao, Xiaoyan Dong, Yufeng Gong, Hui Peng, Hui Yang, Yi Wan, Xudong Jia, Song Tang
Publikováno v:
Environmental Science & Technology. 57:7684-7697
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6244c267dd0d747681c5e425bfd3cfd5
https://doi.org/10.1021/acs.est.2c09361
https://doi.org/10.1021/acs.est.2c09361