Zobrazeno 1 - 10
of 1 344
pro vyhledávání: '"Xu Jingwen"'
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 1425-1436 (2024)
Chikungunya virus (CHIKV) is a neglected arthropod-borne and anthropogenic alphavirus. Over the past two decades, the CHIKV distribution has undergone significant changes worldwide, from the original tropics and subtropics regions to temperate region
Externí odkaz:
https://doaj.org/article/d0812781986847679e76cad43466468b
Publikováno v:
Sichuan jingshen weisheng, Vol 37, Iss 2, Pp 120-124 (2024)
BackgroundPostoperative cognitive dysfunction （POCD） is a common complication in elderly patients after surgery， and has a great impact on postoperative rehabilitation of patients.ObjectiveTo explore the effect of mindfulness-based therapy on c
Externí odkaz:
https://doaj.org/article/1c6c7f7e233c4ac5ac8aafccd9a6ab05
GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration
Currently, cortical surface registration techniques based on classical methods have been well developed. However, a key issue with classical methods is that for each pair of images to be registered, it is necessary to search for the optimal transform
Externí odkaz:
http://arxiv.org/abs/2410.14805
Implicit graph neural networks (IGNNs), which exhibit strong expressive power with a single layer, have recently demonstrated remarkable performance in capturing long-range dependencies (LRD) in underlying graphs while effectively mitigating the over
Externí odkaz:
http://arxiv.org/abs/2410.08524
Autor:
Molodetskikh, Ivan, Borisov, Artem, Vatolin, Dmitriy, Timofte, Radu, Liu, Jianzhao, Zhi, Tianwu, Zhang, Yabin, Li, Yang, Xu, Jingwen, Liao, Yiting, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Cao, Yuqin, Sun, Wei, Zhang, Weixia, Sun, Yinan, Jia, Ziheng, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, Luo, Weihua, Z., Yupeng, Y, Hong
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. The task of this challenge was to develop an objective QA me
Externí odkaz:
http://arxiv.org/abs/2410.04225
Autor:
Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major
Externí odkaz:
http://arxiv.org/abs/2404.16687
Graph Neural Networks (GNNs) have attracted increasing attention in recent years and have achieved excellent performance in semi-supervised node classification tasks. The success of most GNNs relies on one fundamental assumption, i.e., the original g
Externí odkaz:
http://arxiv.org/abs/2212.01749
Autor:
Elshazly, Ahmed M.1,2 (AUTHOR) aaya9247@gmail.com, Xu, Jingwen3 (AUTHOR) jingwen_xu@gdpu.edu.cn, Melhem, Nebras4 (AUTHOR) nebras@hu.edu.jo, Abdulnaby, Alsayed5 (AUTHOR) alsayed.allam@pharm.kfs.edu.eg, Elzahed, Aya A.2 (AUTHOR), Saleh, Tareq6 (AUTHOR) tareq@hu.edu.jo, Gewirtz, David A.1 (AUTHOR) david.gewirtz@vcuhealth.org
Publikováno v:
Cancers. Sep2024, Vol. 16 Issue 17, p2989. 40p.
Autor:
Xu, Jingwen1,2 (AUTHOR) 18845336251@163.com, Song, Fang1,2 (AUTHOR) songfang1119@neau.edu.cn, Wang, Ziwen1,2 (AUTHOR) 15667658301@163.com, Qi, Zhijuan1,2 (AUTHOR) 18904602113@163.com, Liu, Ming2,3 (AUTHOR), Guan, Sheng1,2 (AUTHOR) 18545409225@163.com, Sun, Jialu1,2 (AUTHOR) s230102009@neau.edu.cn, Li, Sirui1,2 (AUTHOR) 18403622980@163.com, Zhao, Jianbao1,2 (AUTHOR)
Publikováno v:
Agronomy. Sep2024, Vol. 14 Issue 9, p2011. 17p.
Autor:
Song, Fang, Liu, Ming, Qi, Zhijuan, Zhang, Zhongxue, Wang, Bai, Yin, Zhihao, Xu, Jingwen, Sun, Jialu
Publikováno v:
In Applied Soil Ecology November 2024 203