Zobrazeno 1 - 10
of 2 859
pro vyhledávání: '"Ze-Yang An"'
Publikováno v:
In Orthopaedics & Traumatology: Surgery & Research February 2022 108(1)
Autor:
Li, Ze-Yang, Li, Jun-Hao, Zhao, Yuan, Cui, Jin-Long, He, Jun-Rong, Ruan, Guo-Long, Malomed, Boris A., Xu, Si-Liu
Publikováno v:
Results in Physics 53 (2023) 106990
Rydberg electromagnetically-induced transparency has been widely studied as a medium supporting light propagation under the action of nonlocal nonlinearities. Recently, optical potentials based on moir\'e lattices (MLs) were introduced for exploring
Externí odkaz:
http://arxiv.org/abs/2309.13379
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Purpose The characteristic of RENT3B in cancer remains ambiguous. We aimed to study the relationship between RENT3B and immune infiltration in liver hepatocellular carcinoma (LIHC) and lung squamous cell carcinoma (LUSC). Patients and method
Externí odkaz:
https://doaj.org/article/88c69aae44b44c8989c496574aa2e3af
Autor:
Loo, Junn Yong, Ding, Ze Yang, Baskaran, Vishnu Monn, Nurzaman, Surya Girinatha, Tan, Chee Pin
Most works on joint state and unknown input (UI) estimation require the assumption that the UIs are linear; this is potentially restrictive as it does not hold in many intelligent autonomous systems. To overcome this restriction and circumvent the ne
Externí odkaz:
http://arxiv.org/abs/2306.12361
Autor:
Loo, Junn Yong, Ding, Ze Yang, Nurzaman, Surya G., Ting, Chee-Ming, Baskaran, Vishnu Monn, Tan, Chee Pin
Data-driven soft sensors are essential for achieving accurate perception through reliable state inference. However, developing representative soft sensor models is challenged by issues such as missing labels, domain adaptability, and temporal coheren
Externí odkaz:
http://arxiv.org/abs/2306.04919
Autor:
Sapai, Shageenderan, Loo, Junn Yong, Ding, Ze Yang, Tan, Chee Pin, Phan, Raphael CW, Baskaran, Vishnu Monn, Nurzaman, Surya Girinatha
Recently, data-driven models such as deep neural networks have shown to be promising tools for modelling and state inference in soft robots. However, voluminous amounts of data are necessary for deep models to perform effectively, which requires exha
Externí odkaz:
http://arxiv.org/abs/2303.01693
Publikováno v:
Animal Models and Experimental Medicine, Vol 7, Iss 4, Pp 570-577 (2024)
Abstract Background Thromboelastography (TEG) is a widely utilized clinical testing method for real‐time monitoring of platelet function and the thrombosis process. Lipid metabolism disorders are crucial risk factors for thrombosis. The lipid metab
Externí odkaz:
https://doaj.org/article/4ad5a03d383d46c3a28536ee8b28a91f
Publikováno v:
BMC Endocrine Disorders, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background In recent years, the incidence of thyroid nodules has increased significantly. There are various ways to treat thyroid nodules, and ablation therapy is one of the important ways to treat thyroid nodules. However, there are many co
Externí odkaz:
https://doaj.org/article/bfff96361f2d4f50bc51ced39b9b8bc8
Autor:
Bing-Ze Yang, Mei-Yin Liu, Kuan-Lin Chiu, Yuh-Ling Chien, Ching-An Cheng, Yu-Lin Chen, Li-Yu Tsui, Keng-Ru Lin, Hsueh-Ping Catherine Chu, Ching-Shyi Peter Wu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract RNA helicase DHX9 is essential for genome stability by resolving aberrant R-loops. However, its regulatory mechanisms remain unclear. Here we show that SUMOylation at lysine 120 (K120) is crucial for DHX9 function. Preventing SUMOylation at
Externí odkaz:
https://doaj.org/article/d20bd17269914d3baa35b3b2dd79b01d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The pathogenesis of Alzheimer's disease (AD) remains unclear, but revealing individual differences in functional connectivity (FC) may provide insights and improve diagnostic precision. A hierarchical clustering-based autoencoder with functi
Externí odkaz:
https://doaj.org/article/b7f0fff638f749ef899f10a25884dbe9