Zobrazeno 1 - 10
of 462
pro vyhledávání: '"JIA Xuemei"'
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 747-56 (2023)
Ulcerative colitis (UC) is an inflammatory bowel disease and associated with metabolic imbalance. Luteolin (LUT) reportedly exhibits anti-inflammatory activity. However, its regulatory effects on metabolites remain indistinct. Here, the effects of LU
Externí odkaz:
https://doaj.org/article/a1a3eb9059fa43d18c444798f8ec599a
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 574-586 (2023)
Ovarian cancer is the second leading cause of death in women with gynecological malignancy in China. Circular RNAs are a class of noncoding regulatory RNAs reported to be involved in cancer development and progression. Previous studies, including our
Externí odkaz:
https://doaj.org/article/5f2d301019464e4a95adf219f934330a
Publikováno v:
Meikuang Anquan, Vol 53, Iss 6, Pp 19-25 (2022)
In order to study the pore structures and their difference of different macroscopic coal rocks, eight groups of coal samples from Huanglong Coalfield and Jincheng Mining Area were collected, and the difference of pore structure between vitrain and du
Externí odkaz:
https://doaj.org/article/aee108be609a40019b0d4cead2cc23f6
Autor:
Han, Xiyu, Zhong, Xian, Huang, Wenxin, Jia, Xuemei, Liu, Wenxuan, Yu, Xiaohan, Kot, Alex Chichung
Cloth-changing person re-identification (CC-ReID) aims to match individuals across multiple surveillance cameras despite variations in clothing. Existing methods typically focus on mitigating the effects of clothing changes or enhancing ID-relevant f
Externí odkaz:
http://arxiv.org/abs/2412.01345
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions
The lack of occlusion data in commonly used action recognition video datasets limits model robustness and impedes sustained performance improvements. We construct OccludeNet, a large-scale occluded video dataset that includes both real-world and synt
Externí odkaz:
http://arxiv.org/abs/2411.15729
CNNs and Self attention have achieved great success in multimedia applications for dynamic association learning of self-attention and convolution in image restoration. However, CNNs have at least two shortcomings: 1) limited receptive field; 2) stati
Externí odkaz:
http://arxiv.org/abs/2311.05147
Autor:
Wei, Hui, Wang, Zhixiang, Jia, Xuemei, Zheng, Yinqiang, Tang, Hao, Satoh, Shin'ichi, Wang, Zheng
Adversarial attacks on thermal infrared imaging expose the risk of related applications. Estimating the security of these systems is essential for safely deploying them in the real world. In many cases, realizing the attacks in the physical space req
Externí odkaz:
http://arxiv.org/abs/2212.05709
Autor:
Wei, Hui, Tang, Hao, Jia, Xuemei, Wang, Zhixiang, Yu, Hanxun, Li, Zhubo, Satoh, Shin'ichi, Van Gool, Luc, Wang, Zheng
Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision, their vulnerability to adversarial attacks remains a critical concern. Extensive research has demonstrated that incorporating sophisticated perturbations into inpu
Externí odkaz:
http://arxiv.org/abs/2209.15179
We propose a method to characterize the ultra-narrow momentum distribution of atomic gases by employing a standing-wave light-pulse sequences beam-splitter. The mechanism of beam splitting is analyzed in detail, and the influence of a finite-width mo
Externí odkaz:
http://arxiv.org/abs/2205.02416
Autor:
Sun, Haoyu, Lin, Haili, Jia, Xuemei, Li, Xinyue, Li, Shuang, Jin, Xin, Wang, Qianlong, Chen, Shifu, Cao, Jing
Publikováno v:
In Applied Catalysis B: Environment and Energy 15 December 2024 359