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Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows

Autor: Su, Zijie, Liu, Yunpu, Pan, Sheng, Li, Zheng, Shen, Changyu

Physics-Informed Neural Networks (PINN) has evolved into a powerful tool for solving partial differential equations, which has been applied to various fields such as energy, environment, en-gineering, etc. When utilizing PINN to solve partial differe

Externí odkaz: http://arxiv.org/abs/2411.17095

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Akademický článek

Genome-Wide Identification of a Novel Autophagy-Related Signature for Colorectal Cancer

Autor: Zhi Huang, Jie Liu, Liang Luo, Pan Sheng, Biao Wang, Jun Zhang, Sha-sha Peng

Publikováno v: Dose-Response, Vol 17 (2019)

Background: Plenty of evidence has suggested that autophagy plays a crucial role in the biological processes of cancers. This study aimed to screen autophagy-related genes (ARGs) and establish a novel a scoring system for colorectal cancer (CRC). Met

Externí odkaz: https://doaj.org/article/1c54367fb3a5439c958f54ea2b5abfb7