Zobrazeno 1 - 10
of 6 740
pro vyhledávání: '"Yan,Ning"'
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Ulcerative colitis (UC) is a subtype of inflammatory bowel disease (IBD) and occurs mainly in the colon. The etiology of UC is rather complex and involves various pathological factors, including genetic susceptibility, dietary intakes, environment, a
Externí odkaz:
https://doaj.org/article/3e067e0c638a440cb3de38a077b9ef8d
Akademický článek
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Autor:
Han, Lizhu1 (AUTHOR), Kou, Jing1 (AUTHOR), Hu, Kunxia1 (AUTHOR), Wang, Yunlan1 (AUTHOR), Tang, Zhishu1 (AUTHOR), Wu, Zhisheng2 (AUTHOR), Song, Xiao1 (AUTHOR)
Publikováno v:
Pharmaceutical Biology. Dec2021, Vol. 59 Issue 1, p207-219. 13p.
Large language models (LLMs) pre-trained on massive corpora have demonstrated impressive few-shot learning capability on many NLP tasks. Recasting an NLP task into a text-to-text generation task is a common practice so that generative LLMs can be pro
Externí odkaz:
http://arxiv.org/abs/2411.02864
Publikováno v:
Pharmaceutical Biology, Vol 59, Iss 1, Pp 209-221 (2021)
Context Re-yan-ning mixture (RYNM) is a new national drug approved by China's State Food and Drug Administration for the treatment of colds, simple pneumonia and acute bronchitis. Objective To determine the mechanism of action of RYNM in the treatmen
Externí odkaz:
https://doaj.org/article/ab6a162124ca4415bd77a4995058163c
Transformers have a quadratic scaling of computational complexity with input size, which limits the input context window size of large language models (LLMs) in both training and inference. Meanwhile, retrieval-augmented generation (RAG) besed models
Externí odkaz:
http://arxiv.org/abs/2410.12859
Autor:
Wang, Shiao, Wang, Yifeng, Ma, Qingchuan, Wang, Xiao, Yan, Ning, Yang, Qingquan, Xu, Guosheng, Tang, Jin
Q-distribution prediction is a crucial research direction in controlled nuclear fusion, with deep learning emerging as a key approach to solving prediction challenges. In this paper, we leverage deep learning techniques to tackle the complexities of
Externí odkaz:
http://arxiv.org/abs/2410.08879
Akademický článek
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Cyclostationary linear inverse models (CS-LIMs), generalized versions of the classical (stationary) LIM, are advanced data-driven techniques for extracting the first-order time-dependent dynamics and random forcing relevant information from complex n
Externí odkaz:
http://arxiv.org/abs/2407.10931
Modern vision transformers leverage visually inspired local interaction between pixels through attention computed within window or grid regions, in contrast to the global attention employed in the original ViT. Regional attention restricts pixel inte
Externí odkaz:
http://arxiv.org/abs/2406.08859