Zobrazeno 1 - 10
of 1 041
pro vyhledávání: '"HUANG Jiayi"'
Autor:
Tang Jiarui, Li Longhui, Chen Zhijian, Liao Cuiting, Hu Kai, Yang Yongqiang, Huang Jiayi, Tang Li, Zhang Li, Li Longjiang
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 551-563 (2024)
Cisplatin (CDDP) is a widely used chemotherapeutic agent that has remarkable antineoplastic effects. However, CDDP can cause severe acute kidney injury (AKI), which limits its clinical application. Agrimol B is the main active ingredient found in Agr
Externí odkaz:
https://doaj.org/article/e50ad503dc1e488cb926eaa99cc0e823
Autor:
Huang Jiayi, Tong Ziyuan, Xu Tianhua, Zhang Mingyu, Ma Yutong, Wang Jingyu, Zhou Hongli, Sun Li
Publikováno v:
Pharmacological Research, Vol 202, Iss , Pp 107139- (2024)
Chronic kidney disease (CKD) has become a global public health problem with high morbidity and mortality. Renal fibrosis can lead to end-stage renal disease (ESRD). However, there is still no effective treatment to prevent or delay the progression of
Externí odkaz:
https://doaj.org/article/e48ba90c757242cdbbdf2662c35aff6b
Autor:
WANG Ziyi, LU Cuncun, HUANG Jiayi, ZHANG Jinglei, SHANG Wenru, CUI Lu, LIU Wendi, DENG Xiuxiu, ZHAO Xiaoxiao, YANG Kehu, LI Xiuxia
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 4, Pp 927-935 (2023)
ObjectiveTo analyze the methodological and reporting quality of systematic reviews of prediction models published in Chinese journals, with the aim of providing reference for enhancing the overall quality of Chinese systematic reviews of prediction m
Externí odkaz:
https://doaj.org/article/2970cfebd23e4d35af782fae447cd8df
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9301-9310 (2022)
In order to solve the problem of insufficient features and overfitting in network training, an image identification method of cashmere and wool fibers based on an improved Xception network is proposed. Firstly, the normalized fiber image is input int
Externí odkaz:
https://doaj.org/article/9056696770674bf5b3ea78b5d1024af9
As large language models continue to scale up, the imperative for fault tolerance in distributed deep learning systems intensifies, becoming a focal area of AI infrastructure research. Checkpoint has emerged as the predominant fault tolerance strateg
Externí odkaz:
http://arxiv.org/abs/2408.04307
Autor:
Huang Jiayi
Publikováno v:
SHS Web of Conferences, Vol 180, p 03012 (2023)
Research on first impressions is crucial because of the widespread use of temperament judgments because of a lack of knowledge and their societal consequences. Until recently, however, first impressions were of dubious value, and factors affecting th
Externí odkaz:
https://doaj.org/article/f2b38f9080b7444994f6aedb2f2b59fd
Large language models (LLMs) have garnered unprecedented advancements across diverse fields, ranging from natural language processing to computer vision and beyond. The prowess of LLMs is underpinned by their substantial model size, extensive and div
Externí odkaz:
http://arxiv.org/abs/2407.06204
Autor:
Sun, Yujie, Huang, Jiayi, Lu, Qingshuang, Yue, Xinhai, Huang, Xuanming, He, Wei, Shi, Yun, Liu, Ju
We propose a suite of technologies for analyzing the interaction between anisotropic arterial walls and blood flow for subject-specific geometries. Utilizing an established lumen modeling strategy, we present a comprehensive pipeline for generating t
Externí odkaz:
http://arxiv.org/abs/2406.07064
The application of artificial intelligence (AI) models in fields such as engineering is limited by the known difficulty of quantifying the reliability of an AI's decision. A well-calibrated AI model must correctly report its accuracy on in-distributi
Externí odkaz:
http://arxiv.org/abs/2404.11350
Expert parallelism has been introduced as a strategy to distribute the computational workload of sparsely-gated mixture-of-experts (MoE) models across multiple computing devices, facilitating the execution of these increasingly large-scale models. Ho
Externí odkaz:
http://arxiv.org/abs/2404.05019