Zobrazeno 1 - 10
of 1 987
pro vyhledávání: '"WANG Xinyan"'
Publikováno v:
口腔疾病防治, Vol 31, Iss 11, Pp 813-818 (2023)
Caries is a chronic infectious disease that occurs in the hard tissues of teeth. The interaction of oral microorganisms, host, food and time leads to the occurrence and progression of caries. Free sugar is an important food factor in the occurrence o
Externí odkaz:
https://doaj.org/article/244dd702e6f6411996a1f599da73363c
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 6, Pp 872-877 (2023)
Objective To construct an early diagnosis model of acute pulmonary thromboembolism (PTE) based on chest pain center database. Methods According to the database of Chest Pain Center of Affiliated Hospital of Jining Medical University, the clinical dat
Externí odkaz:
https://doaj.org/article/7333c881cc174693a446a6d9b2995357
Autor:
LIU Hai, WAN Yinhui, CHEN Cong, GAO Peng, DAI Yaowei, ZHAO Jiaming, WANG Xinyan, LU Xiangyu, ZHAO Siyi
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 1, Pp 19-27, 79 (2023)
The traditional mine gas sensor is vulnerable to the influence of temperature and ambient humidity and other factors, resulting in low stability. In order to solve the above problem, based on the principle of local surface plasmon resonance (LSPR) an
Externí odkaz:
https://doaj.org/article/8324519229804c6b84b27f3ae1ee6e02
Autor:
Wang, Yuanqing, Takaba, Kenichiro, Chen, Michael S., Wieder, Marcus, Xu, Yuzhi, Zhu, Tong, Zhang, John Z. H., Nagle, Arnav, Yu, Kuang, Wang, Xinyan, Cole, Daniel J., Rackers, Joshua A., Cho, Kyunghyun, Greener, Joe G., Eastman, Peter, Martiniani, Stefano, Tuckerman, Mark E.
A force field as accurate as quantum mechanics (QM) and as fast as molecular mechanics (MM), with which one can simulate a biomolecular system efficiently enough and meaningfully enough to get quantitative insights, is among the most ardent dreams of
Externí odkaz:
http://arxiv.org/abs/2409.01931
Autor:
Shu, Zixin, Hua, Rui, Yan, Dengying, Lu, Chenxia, Xu, Ning, Li, Jun, Zhu, Hui, Zhang, Jia, Zhao, Dan, Hui, Chenyang, Ye, Junqiu, Liao, Chu, Hao, Qi, Ye, Wen, Luo, Cheng, Wang, Xinyan, Cheng, Chuang, Li, Xiaodong, Liu, Baoyan, Zhou, Xiaji, Zhang, Runshun, Xu, Min, Zhou, Xuezhong
Symptom phenotypes are one of the key types of manifestations for diagnosis and treatment of various disease conditions. However, the diversity of symptom terminologies is one of the major obstacles hindering the analysis and knowledge sharing of var
Externí odkaz:
http://arxiv.org/abs/2407.12851
Autor:
Hu, Taiping, Huang, Haichao, Zhou, Guobing, Wang, Xinyan, Zhu, Jiaxin, Cheng, Zheng, Fu, Fangjia, Wang, Xiaoxu, Dai, Fuzhi, Yu, Kuang, Xu, Shenzhen
Uncontrollable dendrites growth during electrochemical cycles leads to low Coulombic efficiency and critical safety issues in Li metal batteries. Hence, a comprehensive understanding of the dendrite formation mechanism is essential for further enhanc
Externí odkaz:
http://arxiv.org/abs/2406.14025
Autor:
Chang, Junhan, Zhang, Duo, Deng, Yuqing, Lin, Hongrui, Liu, Zhirong, Zhang, Linfeng, Zheng, Hang, Wang, Xinyan
Molecular simulations are essential tools in computational chemistry, enabling the prediction and understanding of molecular interactions and thermodynamic properties of biomolecules. However, traditional force fields face significant challenges in a
Externí odkaz:
http://arxiv.org/abs/2406.09817
Publikováno v:
SHS Web of Conferences, Vol 170, p 03017 (2023)
This paper takes Suzhou Industrial Park as the research case, collects data through residents' questionnaires, and constructs a structural equation model to explore residents' satisfaction with "healthy house" and its influencing factors, in order to
Externí odkaz:
https://doaj.org/article/0fbf7728a0ee4b40aba5516f5fe03617
The task of industrial detection based on deep learning often involves solving two problems: (1) obtaining sufficient and effective data samples, (2) and using efficient and convenient model training methods. In this paper, we introduce a novel defec
Externí odkaz:
http://arxiv.org/abs/2407.03332
Continuous graph neural models based on differential equations have expanded the architecture of graph neural networks (GNNs). Due to the connection between graph diffusion and message passing, diffusion-based models have been widely studied. However
Externí odkaz:
http://arxiv.org/abs/2403.20221