Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Zhihui SONG"'
Autor:
Guiyun Pan, Lijuan Chai, Rui Chen, Qing Yuan, Zhihui Song, Wanying Feng, Jinna Wei, Zhihua Yang, Yuhang Zhang, Guinan Xie, An Yan, Qingbo Lv, Caijun Wang, Yingqiang Zhao, Yi Wang
Publikováno v:
Pharmaceutical Biology, Vol 62, Iss 1, Pp 105-119 (2024)
Context Qinggong Shoutao Wan (QGSTW) is a pill used as a traditional medicine to treat age-associated memory decline (AAMI). However, its potential mechanisms are unclear.Objective This study elucidates the possible mechanisms of QGSTW in treating AA
Externí odkaz:
https://doaj.org/article/f1b9b983145e49dfaa2adba0e580f3c5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract As a generalized quantum machine learning model, parameterized quantum circuits (PQC) have been found to perform poorly in terms of classification accuracy and model scalability for multi-category classification tasks. To address this issue,
Externí odkaz:
https://doaj.org/article/d577e050d5454010a011868d41f02aec
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and language. Since N
Externí odkaz:
https://doaj.org/article/08221aaa9aad4ec4b721af0a93e5d369
Autor:
Zehui Guo, Zhihua Yang, Zhihui Song, Zhenzhen Li, Yang Xiao, Yuhang Zhang, Tao Wen, Guiyun Pan, Haowei Xu, Xiaodi Sheng, Guowang Jiang, Liping Guo, Yi Wang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Coronary microvascular disease (CMVD) is common in patients with cardiovascular risk factors and is linked to an elevated risk of adverse cardiovascular events. Although modern medicine has made significant strides in researching CMVD, we still lack
Externí odkaz:
https://doaj.org/article/ca0620fdb74d426e9785199863dc7c16
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Little evidence exists regarding the prevalence of pathogens in bloodstream infections (BSIs), the mortality risk, and the benefit of combination therapy over monotherapy. This study aims to describe patterns of empiric antimicrob
Externí odkaz:
https://doaj.org/article/6310a541dc9d45919054eb2b097a488f
Autor:
Bilal Altundas, Embarek Alwedi, Zhihui Song, Achyut Ranjan Gogoi, Ryan Dykstra, Osvaldo Gutierrez, Fraser F. Fleming
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
As aromatic compounds can be obtained easily, their functionalization is a cornerstone of organic synthesis. Here, the authors report a dearomatization of aromatic isocyanides, installing three carbon-carbon bonds, two quaternary stereocenters, and t
Externí odkaz:
https://doaj.org/article/ff975ccea194463b99bafab97f8fb823
Autor:
Zhihui Song, An Yan, Zehui Guo, Yuhang Zhang, Tao Wen, Zhenzhen Li, Zhihua Yang, Rui Chen, Yi Wang
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
BackgroundType 2 diabetes mellitus (T2DM) is a prevalent metabolic disease that causes multi-organ complications, seriously affecting patients’ quality of life and survival. Understanding its pathogenesis remains challenging, with current clinical
Externí odkaz:
https://doaj.org/article/03abecf96a9940adae9e39ad15a09afe
Publikováno v:
BMJ Open, Vol 13, Iss 7 (2023)
Objectives To evaluate the efficacy and safety of anti-vascular endothelial growth factor (anti-VEGF) therapy for myopia choroidal neovascularisation (CNV), and to compare the efficacy of two different anti-VEGF retreatment criteria.Data sources PubM
Externí odkaz:
https://doaj.org/article/21b87e75fa2b41c8a24214b14666f76a
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035070 (2024)
In the field of machine learning, the multi-category classification problem plays a crucial role. Solving the problem has a profound impact on driving the innovation and development of machine learning techniques and addressing complex problems in th
Externí odkaz:
https://doaj.org/article/3d0e48c8a670455c942277b573711f81
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015048 (2024)
There have been numerous quantum neural networks reported, but they struggle to match traditional neural networks in accuracy. Given the huge improvement of the neural network models’ accuracy by two-dimensional tensor network (TN) states in classi
Externí odkaz:
https://doaj.org/article/f999f6fd687b443095ca2b84225931de