Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yuxiao Gao"'
Autor:
Yujia Yuan, Linlin Li, Jingjing Wang, Bat-Otgon Myagmar, Yuxiao Gao, Huan Wang, Zhao Wang, Cong Zhang, Xiangjian Zhang
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionIschemic stroke is a leading cause of morbidity and mortality in older adults. Therefore, in this study, we sought to understand the interplay between the microbiota, gut, and brain in the context of stroke in older adults.ObjectiveTo det
Externí odkaz:
https://doaj.org/article/a875339b2a534986af2478db1fe31760
Autor:
Ying Li, Weihong Xue, Songyi Li, Lili Cui, Yuxiao Gao, Linlin Li, Rong Chen, Xiao Zhang, Renhao Xu, Wei Jiang, Xiangjian Zhang, Lina Wang
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 174, Iss , Pp 116625- (2024)
Aims: The purpose of this study was to explore the impacts of salidroside on vascular regeneration, vascular structural changes and long-term neurological recuperation following cerebral ischemia and its possible mechanism. Main methods: From Day 1 t
Externí odkaz:
https://doaj.org/article/d2f0e609583c4ef1872af002b229f103
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4897 (2024)
Permissioned blockchains are widely used in scenarios such as digital assets, supply chains, government services, and Web 3.0, but their development is hindered by low throughput and scalability. Blockchain sharding addresses these issues by dividing
Externí odkaz:
https://doaj.org/article/87ccd72e39c548779397b4a4b13f7fc2
Publikováno v:
Applied System Innovation, Vol 7, Iss 1, p 8 (2024)
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity i
Externí odkaz:
https://doaj.org/article/b67970492f124d0a8571f60ac3c8aceb
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12845 (2023)
The task of fine-grained named entity recognition is to locate entities in text and classify them into predefined fine-grained categories. At present, Chinese fine-grained NER only uses the pretrained language model to encode the characters in the se
Externí odkaz:
https://doaj.org/article/e25caa4ff62f472bb9eb0f85da0eb379
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9513 (2023)
Considering the complexity of entity pair relations and the information contained in the target neighborhood in few-shot knowledge graphs (KG), existing few-shot KG completion methods generally suffer from insufficient relation representation learnin
Externí odkaz:
https://doaj.org/article/597be201bf2142408ab0298b85852be3
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8166 (2023)
Link prediction is a crucial problem in the analysis of graph-structured data, and graph neural networks (GNNs) have proven to be effective in addressing this problem. However, the computational and temporal costs associated with large-scale graphs r
Externí odkaz:
https://doaj.org/article/f23de1f6febd4287bc5c4ad3add899c0
Autor:
Jun Ge, Jingyu Tao, Jianqi Zhao, Zhiying Wu, Hewan Zhang, Yuxiao Gao, Shengke Tian, Ruohan Xie, Shengyang Xu, Lingli Lu
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 241, Iss , Pp 113795- (2022)
Sedum alfredii Hance is a perennial herb native to China that can particularly be found in regions with abandoned Pb/Zn mines. It is a Cd/Zn hyperaccumulator that is highly tolerant to Pb, Cu, Ni, and Mn, showing potential for phytoremediation of soi
Externí odkaz:
https://doaj.org/article/9728702b4a7a4d00b4527afd73ce2825
Autor:
Min Jian, Xiaohong Wang, Yuanyuan Sui, Mingyan Fang, Chenchen Feng, Yingping Huang, Chunhua Liu, Ruidong Guo, Yuanning Guan, Yuxiao Gao, Zhiwei Wang, Shuli Li, Bochen Cheng, Lina Sun, Fenghua Cui, Jia Guo, Ying Zhan, Guohong Zhang, Ling Zheng, Fengxia Su, Wei Xue, Puyi Qian, Shaobo Gao, Jiayu Chen, Lingyao Guan, Haorong Lu, Karsten Kristiansen, Xin Jin, Fang Chen, Yuhuan Zhao, Lennart Hammarström, Xiaojing Jiang, Junnian Liu, Ya Gao
Publikováno v:
Clinical and Translational Medicine, Vol 12, Iss 6, Pp n/a-n/a (2022)
Externí odkaz:
https://doaj.org/article/1c10947edb574f4f8290a8f624a65afe
Publikováno v:
Nanomaterials, Vol 11, Iss 9, p 2347 (2021)
Exploiting efficient electrocatalysts for hydrogen evolution reactions (HERs) is important for boosting the large-scale applications of hydrogen energy. Herein, MoP-RuP2 encapsulated in N,P-codoped carbon (MoP-RuP2@NPC) with abundant interfaces were
Externí odkaz:
https://doaj.org/article/23627a5eb1234038ba9e59cabc93ce69