Zobrazeno 1 - 10
of 1 851
pro vyhledávání: '"SHI Dan"'
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 51, Iss 5, Pp 392-396 (2024)
Ubiquitination is a crucial post-translational modification process that can degrade proteins within cells and plays a vital role in maintaining protein homeostasis and abundance. Deubiquitinating enzymes (DUBs) are important proteases in the ubiquit
Externí odkaz:
https://doaj.org/article/efe0f501bec4427fb8740e5b6d52624f
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 186-93 (2024)
The ecological security of tourism provides an important guarantee of the sustainable development of regional tourism. In this study, the authors use the Driving Force-Pressure-State-Impact-Response model to construct a system to assess the ecologica
Externí odkaz:
https://doaj.org/article/d2ba8cc0c35d4c2cbc81a5538d2557a4
Publikováno v:
Jichu yixue yu linchuang, Vol 42, Iss 12, Pp 1895-1899 (2022)
Objective To investigate effects of IL-6 trans-signaling on immuno-inflammatory regulation in cecum ligation and puncture (CLP)-induced mice with sepsis. Methods Eighty mice were divided randomly into four groups: sham group (n=15), CLP group (n=30),
Externí odkaz:
https://doaj.org/article/0d4161fd24974c6e8a4eb7e69ed0abd1
Autor:
Wang Yuhuang, Li Kang, Bai Chen, Feng Guodong, Zhang Xiuming, Shi Dan, Zhang Yu, Liu Nianlong
Publikováno v:
Precision Medical Sciences, Vol 11, Iss 3, Pp 130-135 (2022)
Abstract To investigate the diagnostic value of ultra‐small superparamagnetic Fe3O4 nanoparticles as dual modal contrast agent in rabbit orthotopic liver tumor. Twenty‐four New Zealand rabbits with orthotopic liver tumor were randomly divided int
Externí odkaz:
https://doaj.org/article/235db8fd8c9c493e9f4cccbebb0afd34
Autor:
Shi, Dan, Shen, Tianhao, Huang, Yufei, Li, Zhigen, Leng, Yongqi, Jin, Renren, Liu, Chuang, Wu, Xinwei, Guo, Zishan, Yu, Linhao, Shi, Ling, Jiang, Bojian, Xiong, Deyi
The rapid development and deployment of large language models (LLMs) have introduced a new frontier in artificial intelligence, marked by unprecedented capabilities in natural language understanding and generation. However, the increasing integration
Externí odkaz:
http://arxiv.org/abs/2412.17686
Publikováno v:
Phys. Rev. D 110, 055025 (2024)
We employ the entropic uncertainty relations and the quantum Fisher information to explore the formation of quark $t\bar{t}$ pairs at a large hadron collider through the combination of $q\bar{q}$ pair and $gg$ pair initiated processes. A comprehensiv
Externí odkaz:
http://arxiv.org/abs/2409.08918
It is widely acknowledged that large language models (LLMs) encode a vast reservoir of knowledge after being trained on mass data. Recent studies disclose knowledge conflicts in LLM generation, wherein outdated or incorrect parametric knowledge (i.e.
Externí odkaz:
http://arxiv.org/abs/2406.18406
As an indispensable ingredient of intelligence, commonsense reasoning is crucial for large language models (LLMs) in real-world scenarios. In this paper, we propose CORECODE, a dataset that contains abundant commonsense knowledge manually annotated o
Externí odkaz:
http://arxiv.org/abs/2312.12853
Autor:
Guo, Zishan, Jin, Renren, Liu, Chuang, Huang, Yufei, Shi, Dan, Supryadi, Yu, Linhao, Liu, Yan, Li, Jiaxuan, Xiong, Bojian, Xiong, Deyi
Large language models (LLMs) have demonstrated remarkable capabilities across a broad spectrum of tasks. They have attracted significant attention and been deployed in numerous downstream applications. Nevertheless, akin to a double-edged sword, LLMs
Externí odkaz:
http://arxiv.org/abs/2310.19736