Zobrazeno 1 - 10
of 612
pro vyhledávání: '"Li Peiyu"'
Autor:
HAN Xiao, SONG Zhaojie, LI Peiyu, DENG Sen, SONG Yilei, ZHANG Yunfei, CAO Changxiao, YANG Zhicheng, WU Jiapeng
Publikováno v:
Youqi dizhi yu caishoulu, Vol 31, Iss 1, Pp 63-71 (2024)
The core pore structure of the target shale oil block was finely characterized using scanning electron microscopy， and a microscopic numerical model of the pore-scale core was constructed to elucidate the intrinsic mechanisms and the main controlli
Externí odkaz:
https://doaj.org/article/11c7c2e8aa704eaa8c42ef4b3dd4d89c
Autor:
Deng Xiangbin, Xu Hongbo, Li Duoyun, Chen Jinlian, Yu Zhijian, Deng Qiwen, Li Peiyu, Zheng Jinxin, Zhang Haigang
Publikováno v:
Polish Journal of Microbiology, Vol 72, Iss 2, Pp 199-208 (2023)
Alpha-mangostin (α-mangostin) was discovered as a potent natural product against Gram-positive bacteria, whereas the underlying molecular mechanisms are still unclear. This study indicated that α-mangostin (at 4 × MIC) rapidly killed Staphylococcu
Externí odkaz:
https://doaj.org/article/eef023ffb10545e8b005c61336406c3b
Autor:
Wu Sixian, Li Xiaoliang, Li Peiyu, Li Tongtong, Huang Gelin, Sun Qun, Dinnyés Andras, Shang Lijun, Xu Wenming
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1748-1752 (2022)
Externí odkaz:
https://doaj.org/article/6d292f10032c405c85abe7b569c52fd9
Autor:
Zhang Chaoqin, Cheng Hang, Zhao Yuxi, Chen Jinlian, Li Meng, Yu Zhijian, Sun Xiang, Li Peiyu, Shang Yongpeng, Ma Jinmin, Zheng Jinxin
Publikováno v:
Polish Journal of Microbiology, Vol 71, Iss 4, Pp 499-507 (2022)
Rapid detection of bloodstream pathogens would greatly facilitate clinicians to make precise antimicrobial treatment in patients with bacteremia. In this study, 114 plasma samples were collected from patients with identified or suspected bacteremia,
Externí odkaz:
https://doaj.org/article/3b77d8fa7fa443fcadf505288dcef215
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Over the past decade, multivariate time series classification has received great attention. Machine learning (ML) models for multivariate time series classification have made significant strides and achieved impressive success in a wide range of appl
Externí odkaz:
http://arxiv.org/abs/2411.02649
Autor:
Li, Peiyu, Bahri, Omar, Hosseinzadeh, Pouya, Boubrahimi, Soukaïna Filali, Hamdi, Shah Muhammad
As the demand for interpretable machine learning approaches continues to grow, there is an increasing necessity for human involvement in providing informative explanations for model decisions. This is necessary for building trust and transparency in
Externí odkaz:
http://arxiv.org/abs/2410.20539
Significant work has been conducted in the domain of food computing, yet these studies typically focus on single tasks such as t2t (instruction generation from food titles and ingredients), i2t (recipe generation from food images), or t2i (food image
Externí odkaz:
http://arxiv.org/abs/2409.12010
Butin attenuates brain edema in a rat model of intracerebral hemorrhage by anti inflammatory pathway
Autor:
Li Peiyu, Jiwu Cheng
Publikováno v:
Translational Neuroscience, Vol 9, Iss 1, Pp 7-12 (2018)
This study evaluates the effect of butin against brain edema in intracerebral hemorrhage (ICH).
Externí odkaz:
https://doaj.org/article/2289282ce1494d07a185bcf00d614d3c
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0161249 (2016)
Due to a set of constant initial values, the performance of conventional TCP drops significantly encountering heterogeneous network, showing low throughput and unfairness. This paper firstly demonstrates the chaotic character of TCP congestion contro
Externí odkaz:
https://doaj.org/article/d02c64c8a5f245fab5e65216ddca4747
With the rising need of interpretable machine learning methods, there is a necessity for a rise in human effort to provide diverse explanations of the influencing factors of the model decisions. To improve the trust and transparency of AI-based syste
Externí odkaz:
http://arxiv.org/abs/2211.04411