Zobrazeno 1 - 10
of 2 967
pro vyhledávání: '"Fang Fei"'
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Primary osteoporosis (POP) is recognized as a “silent disease” and often ignored. This meta-analysis aimed to determine the prevalence of POP in the Chinese population over the past 20 years to raise awareness of the disease
Externí odkaz:
https://doaj.org/article/620e45e54c1b446e9ae5d68e81c2024e
H1 Linker Histone Gene Regulates Lifespan via Dietary Restriction Pathways in Caenorhabditis elegans
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 43, Iss 3, Pp 271-281 (2023)
Objective To reveal the physiological function of H1 linker histone gene (hil-1) and its molecular mechanism for regulating the lifespan in Caenorhabditis elegans (C. elegans). Methods C. elegans was used as a model organism and hil-1 gene was knock-
Externí odkaz:
https://doaj.org/article/ff981865c47a4e55ac28ba9445b82d04
Autor:
Dong Xu, Saina Yan, Huimin Jin, Chujie Chen, Xiangwei Tang, Xu Wang, Yonghong Li, Fang Fei, Anqi Yang
Publikováno v:
Frontiers in Genetics, Vol 14 (2024)
DNMT3A participates in de novo methylation, yet its impact on the proliferation of testicular Sertoli cells remains unclear. Development-specific methylation has been proven to be associated with cellular development. Therefore, in this study, we sim
Externí odkaz:
https://doaj.org/article/52186770de0b45659dde416491e32c7a
Autor:
Shao Fangyang, Ci Lei, Shi Jiahao, Fang Fei, Yan Bowen, Liu Xijun, Yao Xiangyu, Zhang Mengjie, Yang Hua, Wang Zhugang, Fei Jian
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1507-1517 (2022)
Monocyte chemoattractant protein-1 (MCP-1) plays a crucial role in various inflammatory diseases. To reveal the impact of MCP-1 during diseases and to develop anti-inflammatory agents, we establish a transgenic mouse line. The firefly luciferase gene
Externí odkaz:
https://doaj.org/article/c73ce670632043a08564ec748d702f92
Enhancing the reasoning capabilities of large language models (LLMs) is crucial for enabling them to tackle complex, multi-step problems. Multi-agent frameworks have shown great potential in enhancing LLMs' reasoning capabilities. However, the lack o
Externí odkaz:
http://arxiv.org/abs/2410.20007
Autor:
Zhang, Mian, Yang, Xianjun, Zhang, Xinlu, Labrum, Travis, Chiu, Jamie C., Eack, Shaun M., Fang, Fei, Wang, William Yang, Chen, Zhiyu Zoey
There is a significant gap between patient needs and available mental health support today. In this paper, we aim to thoroughly examine the potential of using Large Language Models (LLMs) to assist professional psychotherapy. To this end, we propose
Externí odkaz:
http://arxiv.org/abs/2410.13218
Despite significant advancements in the reasoning capabilities of Large Language Models (LLMs), the lack of diverse reasoning solutions often makes them trapped in a limited solution search area. In this paper, we propose TypedThinker, a novel framew
Externí odkaz:
http://arxiv.org/abs/2410.01952
Cosine similarity between two documents can be computed using token embeddings formed by Large Language Models (LLMs) such as GPT-4, and used to categorize those documents across a range of uses. However, these similarities are ultimately dependent o
Externí odkaz:
http://arxiv.org/abs/2409.00269
Recent advances in reinforcement learning (RL) have predominantly leveraged neural network-based policies for decision-making, yet these models often lack interpretability, posing challenges for stakeholder comprehension and trust. Concept bottleneck
Externí odkaz:
http://arxiv.org/abs/2407.15786
We study a multi-agent imitation learning (MAIL) problem where we take the perspective of a learner attempting to coordinate a group of agents based on demonstrations of an expert doing so. Most prior work in MAIL essentially reduces the problem to m
Externí odkaz:
http://arxiv.org/abs/2406.04219