Zobrazeno 1 - 10
of 404
pro vyhledávání: '"Shuo Hui"'
Autor:
Jingru Zhao MD, Lipeng Dong MD, Shuo Hui MS, Fan Lu MS, Yanzhao Xie MD, Yanzhong Chang MD, Baoming Yang MS
Publikováno v:
Clinical and Applied Thrombosis/Hemostasis, Vol 29 (2023)
In previous studies, prothrombin time (PT), systemic inflammation response index (SIRI) and systemic immune inflammation Index (SII) levels might be the prognostic factors for patients with ischemic stroke. However, the association between these coag
Externí odkaz:
https://doaj.org/article/f625726a65c74368a704ce18163e2044
We propose a variational modelling method with differentiable temperature for canonical ensembles. Using a deep generative model, the free energy is estimated and minimized simultaneously in a continuous temperature range. At optimal, this generative
Externí odkaz:
http://arxiv.org/abs/2404.18404
Autor:
Zhou, Xuan-Peng, Sun, Luan-Biao, Liu, Wen-Hao, Zhu, Wu-Ming, Li, Lin-Chun, Song, Xin-Yuan, Xing, Jian-Peng, Gao, Shuo-Hui
Publikováno v:
In Ageing Research Reviews February 2025 104
Autor:
Zhou, Xuan-Peng, Xing, Jian-Peng, Sun, Luan-Biao, Tian, Sheng-Qi, Luo, Ran, Liu, Wen-Hao, Song, Xin-Yuan, Gao, Shuo-Hui
Publikováno v:
In Biomedicine & Pharmacotherapy September 2024 178
Autor:
Wang, Jia-Dai, Zhao, Yan, Ghorai, Shyamal Kr, Li, Zhao, Weng, Yu-Hua, Cao, Shuo-Hui, Li, Yao-Qun
Publikováno v:
In Sensors and Actuators: B. Chemical 15 August 2024 413
Autor:
Wei, Jia-Wen, He, Jia-Rong, Chen, Shi-Yi, Guo, Yi-Han, Huo, Xuan-Zhu, Zheng, Nuan, Cao, Shuo-Hui, Li, Yao-Qun
Publikováno v:
In Food Control April 2024 158
Autor:
Lv, Huang-Zhou, Chen, Jinliang, Zhao, Yan, Li, Yu, Cao, Shuo-Hui, Cai, Wei-Peng, Shen, Liang, Lu, Yinghua, Li, Yao-Qun
Publikováno v:
In Journal of Environmental Management April 2024 356
Autor:
Li, Shuo-Hui
Wavelet transformation stands as a cornerstone in modern data analysis and signal processing. Its mathematical essence is an invertible transformation that discerns slow patterns from fast ones in the frequency domain. Such an invertible transformati
Externí odkaz:
http://arxiv.org/abs/2101.11306
Publikováno v:
Phys. Rev. X 10, 021020 (2020)
Canonical transformation plays a fundamental role in simplifying and solving classical Hamiltonian systems. We construct flexible and powerful canonical transformations as generative models using symplectic neural networks. The model transforms physi
Externí odkaz:
http://arxiv.org/abs/1910.00024
Publikováno v:
Phys. Rev. Research 2, 023369 (2020)
The exact holographic mapping (EHM) provides an explicit duality map between a conformal field theory (CFT) configuration and a massive field propagating on an emergent classical geometry. However, designing the optimal holographic mapping is challen
Externí odkaz:
http://arxiv.org/abs/1903.00804