Zobrazeno 1 - 10
of 2 411
pro vyhledávání: '"WANG Yichen"'
Autor:
Chi Hongyang, Chai Yue’e, Ma Lingju, Wang Yichen, Wu Qianqian, Wang Lexin, Zhai Junjie, Ma Fufun, Tian Yancheng, Qi Ning, Peng Jianhong, Fu Youjuan, Yang Xiaoling, Huang Hui, Ma Shengchao
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 1352-1364 (2024)
Myocardial ischemia/reperfusion (I/R) injury is a classic type of cardiovascular disease characterized by injury to cardiomyocytes leading to different types of cell death. The degree of irreversible myocardial damage is closely related to age, and f
Externí odkaz:
https://doaj.org/article/bccb9c7a1a4c43fc8f2d5d8af499478d
Publikováno v:
Jixie chuandong, Vol 47, Pp 45-50 (2023)
In order to improve the motion performance of compliant robots, a rotary series elastic actuator (SEA) based on arc helical springs is designed. The proposed SEA can be used to provide a wide range of flexible torsion by the combination of multi-stag
Externí odkaz:
https://doaj.org/article/13c7fa6c40564566a4593f170a9bbbc8
Publikováno v:
Open Life Sciences, Vol 17, Iss 1, Pp 781-793 (2022)
The monosodium iodoacetate (MIA)-induced osteoarthritis (OA) may lead to cartilage degeneration and histopathological lesions. However, the correlation between inflammatory reaction and subchondral bone remodeling in a rodent osteoarthritic model is
Externí odkaz:
https://doaj.org/article/c1a7627364744ffd838677fa412f77e5
As deep neural networks (DNNs) are widely applied in the physical world, many researches are focusing on physical-world adversarial examples (PAEs), which introduce perturbations to inputs and cause the model's incorrect outputs. However, existing PA
Externí odkaz:
http://arxiv.org/abs/2412.16958
Autor:
Wang, Yichen, Yu, Chengcheng
Accurate origin-destination (OD) passenger flow prediction is crucial for enhancing metro system efficiency, optimizing scheduling, and improving passenger experiences. However, current models often fail to effectively capture the asynchronous depart
Externí odkaz:
http://arxiv.org/abs/2412.01419
With the significant advancement of Large Vision-Language Models (VLMs), concerns about their potential misuse and abuse have grown rapidly. Previous studies have highlighted VLMs' vulnerability to jailbreak attacks, where carefully crafted inputs ca
Externí odkaz:
http://arxiv.org/abs/2412.00473
With strong expressive capabilities in Large Language Models(LLMs), generative models effectively capture sentiment structures and deep semantics, however, challenges remain in fine-grained sentiment classification across multi-lingual and complex co
Externí odkaz:
http://arxiv.org/abs/2411.18162
In recent years, graph representation learning has undergone a paradigm shift, driven by the emergence and proliferation of graph neural networks (GNNs) and their heterogeneous counterparts. Heterogeneous GNNs have shown remarkable success in extract
Externí odkaz:
http://arxiv.org/abs/2411.18520
Bike-sharing is an environmentally friendly shared mobility mode, but its self-loop phenomenon, where bikes are returned to the same station after several time usage, significantly impacts equity in accessing its services. Therefore, this study condu
Externí odkaz:
http://arxiv.org/abs/2411.17555
Freight truck-related crashes pose significant challenges, leading to substantial economic losses, injuries, and fatalities, with pronounced spatial disparities across different regions. This study adopts a transport geography perspective to examine
Externí odkaz:
http://arxiv.org/abs/2411.17554