Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hanxi, Liu"'
Autor:
Hanxi Liu, Yaxin Yao, Jiayang Ma, Shaoyu Wang, Song Li, Weiwei Wang, Xinmiao Yu, Fengli Sun, Chao Zhang, Yajun Xi
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background Seed germination is a key process in the plant life cycle that affects the vegetative and reproductive stages of plants. Although the JAZ gene family has been characterized in many plants, the relationship between the JAZ gene and
Externí odkaz:
https://doaj.org/article/68039edfe19a4474a936de8a570366f6
Autor:
Weiwei Wang, Jiayang Ma, Hanxi Liu, Zhulin Wang, Rui Nan, Tao Zhong, Mengyu Sun, Shaoyu Wang, Yaxin Yao, Fengli Sun, Chao Zhang, Yajun Xi
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background The small YABBY plant-specific transcription factor has a prominent role in regulating plant growth progress and responding to abiotic stress. Results Here, a total of 16 PvYABBYs from switchgrass (Panicum virgatum L.) were identi
Externí odkaz:
https://doaj.org/article/74b7dac299c64debae5b1d21d947362b
Autor:
Jinhui Wang, Jieqi Wang, Chao Ma, Ziqi Zhou, Decheng Yang, Junzan Zheng, Qi Wang, Huiwen Li, Hongyang Zhou, Zhijun Sun, Hanxi Liu, Jianyi Li, Lin Chen, Qinglin Kang, Zhaoming Qi, Hongwei Jiang, Rongsheng Zhu, Xiaoxia Wu, Chunyan Liu, Qingshan Chen, Dawei Xin
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
In some legume–rhizobium symbioses, host specificity is influenced by rhizobial type III effectors-nodulation outer proteins (Nops). However, the genes encoding host proteins that interact with Nops remain unknown. In this study, we aimed to identi
Externí odkaz:
https://doaj.org/article/2b78eb30ffa248bc8de23eae100ba48d
Autor:
Huan Liu, Xiaoping Liu, Guoyong Liu, Guoyong Li, Jianwei Wang, Yongliang Gao, Biao Sun, Jiakai Hou, Hanxi Liu, Xuejiao Sun
Publikováno v:
Geoenergy Science and Engineering. 225:211704
Publikováno v:
IEEE journal of biomedical and health informatics. 26(8)
Medical image denoising faces great challenges. Although deep learning methods have shown great potential, their efficiency is severely affected by millions of trainable parameters. The non-linearity of neural networks also makes them difficult to be
Autor:
Xu Zhuo, Yuchen Lu, Yuexuan Hua, Hanxi Liu, Yikun Zhang, Shilei Hao, Lin Wan, Qingguo Xie, Xu Ji, Yang Chen
Publikováno v:
Physics in Medicine & Biology. 68:075011
Objective. X-ray scatter leads to signal bias and degrades the image quality in Computed Tomography imaging. Conventional real-time scatter estimation and correction methods include the scatter kernel superposition (SKS) methods, which approximate x-
Autor:
Lu Han, Qingying Li, Qingshan Chen, Xueying Liu, Wang Nannan, Jianan Zou, Yongxu Zhu, Zhaoming Qi, Guolong Yu, Rongsheng Zhu, Chunyan Liu, Dawei Xin, Miaoxin Guo, Yan Shi, Lin Chen, Weiyao Zhang, Shiyu Huang, Jianyi Li, Jinhui Wang, Zhenbang Hu, Chao Ma, Jingyi Zhu, Zhengong Yin, Candong Li, Yingnan Wen, Xiaoxia Wu, Zhanguo Zhang, Zhijun Sun, Hanxi Liu, Jieqi Wang, Hongwei Jiang
Publikováno v:
Molecular Plant-Microbe Interactions®. 33:798-807
In soybean (Glycine max)-rhizobium interactions, the type III secretion system (T3SS) of rhizobium plays a key role in regulating host specificity. However, the lack of information on the role of T3SS in signaling networks limits our understanding of
Publikováno v:
Materials, Vol 15, Iss 912, p 912 (2022)
Materials; Volume 15; Issue 3; Pages: 912
Materials; Volume 15; Issue 3; Pages: 912
In this article, ammonia and methyltriethoxysilane (MTES) were chosen as vapor phase modifiers for the base-catalyzed SiO2 film. The surface of the film became more dense because of the hydroxyl condensation under the catalyst of ammonia, while the i
Publikováno v:
Materials (Basel, Switzerland). 15(3)
In this article, ammonia and methyltriethoxysilane (MTES) were chosen as vapor phase modifiers for the base-catalyzed SiO
Autor:
Chen Guo, Siqian Yang, Ting Liu, Kelvin C.K. Chan, Tangxin Xie, Zekun Li, Dongliang He, Shijie Zhao, Boyuan Jiang, Ye Zhu, He Zheng, Yunhua Lu, Zhubo Ruan, Yu Li, Xueyang Fu, Junlin Li, Huanwei Liang, Jinjing Li, Chengpeng Chen, Shijie Yue, Hongying Liu, Xu Zhuo, Zhongyuan Wang, Konstantinos Konstantoudakis, Guodong Du, Ruixia Song, Seungjun Nah, Fu Li, Wenhao Zhang, Ruipeng Gang, Peng Yi, Ying Tai, Xiaozhong Ji, Yutong Wang, Donghao Luo, Kyoung Mu Lee, Chengjie Wang, Jechang Jeong, Peng Zhao, Chenghua Li, Xueyi Zou, Hanxi Liu, Junjun Jiang, Pablo Navarrete Michelini, Xueheng Zhang, Renjun Luo, Sourya Dipta Das, Xiaojie Chu, Yuchun Dong, Jie Zhang, Yuanyuan Liu, Shangchen Zhou, Yu Jia, Xinning Chai, Suyoung Lee, Xin Li, Lielin Jiang, Wenqing Chu, Qing Wang, Mengdi Sun, Qian Zheng, Mengxi Guo, Liangyu Chen, Li Chen, Chen Li, Zhiwei Xiong, Fenglong Song, Jeonghwan Heo, Qi Zhang, Li Song, Yixin Bai, Konstantinos Karageorgos, Anastasios Dimou, Yuxiang Chen, Ruisheng Gao, Zeyu Xiao, Zhen Cheng, Fanhua Shang, Petros Daras, Gen Zhan, Kui Jiang, Qingqing Dang, Xiaopeng Sun, Fanglong Liu, Jiayi Ma, Xiangyu Xu, Jia Hao, Nisarg Shah, Radu Timofte, Kassiani Zafirouli, Fanjie Shang, Zhipeng Luo, Yukai Shi, Geyingjie Wen, Feiyue Huang, Haining Li, Qichao Sun, Ruikang Xu, Yiming Li, Xin Lu, Saikat Dutta, Hao Jiang, Seungwoo Wee, Jilin Li, Xiaowei Song, Yuehan Yao, Zhiyu Chen, Chuming Lin, Longjie Shen, Sanghyun Son, Jing Lin, Fangxu Yu, Fei Chen, Chen Change Loy
Publikováno v:
CVPR Workshops
Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIRE 2021 Challenge on Video Super-Resolution. We present evaluation resu