Zobrazeno 1 - 10
of 664
pro vyhledávání: '"To‐Pang Chen"'
Autor:
Pang, Chen, Zhou, Yi
This paper provides a theoretical analysis on the effects of an external Zeeman field and Rashba spin-orbit interactions on superconductivity. We have extensively studied their influence on the superconducting transition temperature $T_c$ and the qua
Externí odkaz:
http://arxiv.org/abs/2410.05908
Autor:
Geng‐Ruei Chang, Po‐Hsun Hou, Chao‐Min Wang, Ching‐Feng Wu, Huang‐Kai Su, Huei‐Jyuan Liao, To‐Pang Chen
Publikováno v:
Pharmacology Research & Perspectives, Vol 9, Iss 2, Pp n/a-n/a (2021)
Abstract Everolimus, which inhibits mTOR kinase activity and is clinically used in graft rejection treatment, may have a two‐sided influence on metabolic syndrome; its role in obesity and hyperglycemic in animals and humans, however, has been explo
Externí odkaz:
https://doaj.org/article/7e8e4e4ef35d44a5a360a968c1f7e810
Deep neural networks have demonstrated superior performance in artificial intelligence applications, but the opaqueness of their inner working mechanism is one major drawback in their application. The prevailing unit-based interpretation is a statist
Externí odkaz:
http://arxiv.org/abs/2402.18132
Autor:
Geng-Ruei Chang, Po-Hsun Hou, Wei-Cheng Yang, Chao-Min Wang, Pei-Shan Fan, Huei-Jyuan Liao, To-Pang Chen
Publikováno v:
Pharmaceuticals, Vol 14, Iss 3, p 267 (2021)
Doxepin is commonly prescribed for depression and anxiety treatment. Doxepin-related disruptions to metabolism and renal/hepatic adverse effects remain unclear; thus, the underlying mechanism of action warrants further research. Here, we investigated
Externí odkaz:
https://doaj.org/article/fb022dace328450bb2a84341d9c927cb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract In this study, the chloride ion (Cl−) binding rate of sulfoaluminate cement (SAC) mortars containing different mineral admixtures was investigated. This is essential to improve the durability of concrete structures in high Cl− environmen
Externí odkaz:
https://doaj.org/article/7c3239cbf76240c9827c5d49a6f3c071
Autor:
Athira Saju, Po-Pang Chen, Tzu-Han Weng, Su-Yi Tsai, Akihiro Tanaka, Yu-Ting Tseng, Chih-Chia Chang, Chun-Hsiung Wang, Yuta Shimamoto, Kuo-Chiang Hsia
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Vinca alkaloids, a class of tubulin-binding agent, are widely used in treating cancer, yet the emerging resistance compromises their efficacy. Hepatoma up-regulated protein (HURP), a microtubule-associated protein displaying heightened expre
Externí odkaz:
https://doaj.org/article/25c9cd49c7d1431aa1ea38ff3a4d9bb6
Autor:
Su, Jia-Jyu, Liao, Pang-Chen, Lin, Yen-Ting, Li, Wu-Hao, Liou, Guan-Ting, Kao, Cheng-Che, Chen, Wei-Cheng, Chiang, Jen-Chieh, Chang, Wen-Yang, Lin, Pin-Han, Chiang, Chen-Yu
Services of personalized TTS systems for the Mandarin-speaking speech impaired are rarely mentioned. Taiwan started the VoiceBanking project in 2020, aiming to build a complete set of services to deliver personalized Mandarin TTS systems to amyotroph
Externí odkaz:
http://arxiv.org/abs/2308.14763
Autor:
Li-Pang Chen, Hsiao-Ting Huang
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Background Survival analysis has been used to characterize the time-to-event data. In medical studies, a typical application is to analyze the survival time of specific cancers by using high-dimensional gene expressions. The main challenges
Externí odkaz:
https://doaj.org/article/601ee151396c48dbb17b59bd91434ccc
Autor:
Po-Yin Chen, Yung-Chih Chen, Po-Pang Chen, Kuan-Ting Lin, Karen Sargsyan, Chao-Ping Hsu, Wei-Le Wang, Kuo-Chiang Hsia, See-Yeun Ting
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Developing programmable bacterial cell-cell adhesion is of significant interest due to its versatile applications. Current methods that rely on presenting cell adhesion molecules (CAMs) on bacterial surfaces are limited by the lack of a gene
Externí odkaz:
https://doaj.org/article/83c0575a590e45a997c211c9041b670a
For pursuing accurate skeleton-based action recognition, most prior methods use the strategy of combining Graph Convolution Networks (GCNs) with attention-based methods in a serial way. However, they regard the human skeleton as a complete graph, res
Externí odkaz:
http://arxiv.org/abs/2301.11495