Zobrazeno 1 - 10
of 2 594
pro vyhledávání: '"Wan Cheng"'
Autor:
Gong Di, Li Wangting, Li Xiaomeng, Wan Cheng, Zhou Yongjin, Xu Yanwu, Zhang Shaochong, Yang Weihua
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 3, Pp 448-452 (2024)
This paper provides a comprehensive analysis of the current state of intelligent ophthalmology in China, including technological advancements, academic exchange platforms, policy support, future challenges, and potential solutions. Technologically, r
Externí odkaz:
https://doaj.org/article/159b37fb231a4f7f9725fa262d428e6d
Autor:
Xiude Yang, Minghao Luo, Qianqian Zhang, Haishen Huang, Yanqing Yao, Yuanlin Yang, Ying Li, Wan Cheng, Ping Li
Publikováno v:
Nanomaterials, Vol 14, Iss 18, p 1476 (2024)
The stability issue of perovskite solar cells (PSCs) has long been of concern to researchers. Poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is commonly used as a hole transport layer (HTL) in the inverted PSCs to achieve efficie
Externí odkaz:
https://doaj.org/article/48d1c26d6e7543258d7e52ef1789a760
Autor:
Jiadi Tang, Yusheng Zhao, Wan Cheng, Tianle Liu, Guokun Yang, Mingsheng Chen, Gang Lei, Jian Xu, Yongning Huang
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1056 (2024)
As detrimental byproduct waste generated during the production of fertilizers, phosphogypsum can be harmlessly treated by producing phosphogypsum-based cementitious materials (PGCs) for offshore well cementing in hydrate reservoirs. To be specific, t
Externí odkaz:
https://doaj.org/article/eccc018afd114b46a78027f525dee807
Publikováno v:
Nanophotonics, Vol 12, Iss 16, Pp 3323-3331 (2023)
This study proposes and demonstrates a novel label-free DNA biosensor using high quality optical microcavity functionalized by 3D DNA nanostructure probes. To achieve ultra-low limit DNA biosensing, optical sensing interface of the hollow-core, thin
Externí odkaz:
https://doaj.org/article/5dd9f10ea5de470188de7032b0cfcf80
Autor:
Wai Kay Seto, Ting-Tsung Chang, Abhijit Chowdhry, Chi-Yi Chen, Mustafa Kemal Celen, Xiaoli Ma, Mang Ma, Ajay Duseja, Ki Tae Yoon, Wan Cheng Chow, Leland Yee, Gregor Weber, Ms Jin Youn, John F. Flaherty, Anuj Gaggar, Bing Gao, Gregory Camus, Eric Bassetti, Jae Seok Hwang, Tetshuro Inokuma, Young- Suk Lin, Edward J. Gane
Publikováno v:
Annals of Hepatology, Vol 28, Iss , Pp 100905- (2023)
Introduction and Objectives: Tenofovir Alafenamide (TAF) is a preferred treatment in the most recent EASL and AASLD HBV Guidelines, especially in patients with risk factors for TDF-associated renal and bone effects. In 2 identically-designed double-b
Externí odkaz:
https://doaj.org/article/ff618283cb6f44cfa2d42ed8f0d2ea63
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Paeonia lactiflora Pall. is an important ornamental plant with high economic and medicinal value, which has considerable development prospects worldwide. The lack of efficient tissue culture techniques and genetic transformation systems has become a
Externí odkaz:
https://doaj.org/article/8ebbfbaf8d12444fbf70bb7cef4a9e4c
Autor:
Wan, Zishen, Liu, Che-Kai, Yang, Hanchen, Raj, Ritik, Li, Chaojian, You, Haoran, Fu, Yonggan, Wan, Cheng, Li, Sixu, Kim, Youbin, Samajdar, Ananda, Lin, Yingyan Celine, Ibrahim, Mohamed, Rabaey, Jan M., Krishna, Tushar, Raychowdhury, Arijit
The remarkable advancements in artificial intelligence (AI), primarily driven by deep neural networks, are facing challenges surrounding unsustainable computational trajectories, limited robustness, and a lack of explainability. To develop next-gener
Externí odkaz:
http://arxiv.org/abs/2409.13153
Continuous blood pressure (BP) monitoring is essential for timely diagnosis and intervention in critical care settings. However, BP varies significantly across individuals, this inter-patient variability motivates the development of personalized mode
Externí odkaz:
http://arxiv.org/abs/2409.04704
Large Language Models (LLMs) have recently shown promise in streamlining hardware design processes by encapsulating vast amounts of domain-specific data. In addition, they allow users to interact with the design processes through natural language ins
Externí odkaz:
http://arxiv.org/abs/2407.01910
RITA presents a high-quality real-time interactive framework built upon generative models, designed with practical applications in mind. Our framework enables the transformation of user-uploaded photos into digital avatars that can engage in real-tim
Externí odkaz:
http://arxiv.org/abs/2406.13093