Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Zhenyu Qi"'
Autor:
Aijun Zhang, Tingjin Wang, Lu Yuan, Yuxin Shen, Ke Liu, Bin Liu, Kexin Xu, Mohamed A. Elsadek, Yiting Wang, Liang Wu, Zhenyu Qi, Jingquan Yu, Mingfang Zhang, Liping Chen
Publikováno v:
Molecular Horticulture, Vol 4, Iss 1, Pp 1-21 (2024)
Abstract The transfer of genetic material between stocks and scions of grafted plants has been extensively studied; however, the nature and frequency of the transferred material remain elusive. Here, we report a grafting system involving woody goji a
Externí odkaz:
https://doaj.org/article/49a693093de6498ea2dfd4fb5484dccd
Publikováno v:
Egyptian Journal of Neurosurgery, Vol 39, Iss 1, Pp 1-6 (2024)
Abstract Background Intracranial primitive neuroectodermal tumors (PNETs) are characterized by poorly differentiated, highly malignant, aggressive small round tumor cells originating from the central and peripheral nervous systems. Case presentation
Externí odkaz:
https://doaj.org/article/fe49cbc6b562426f94b04c02e449696d
Autor:
Mingyue Guo, Fengjun Yang, Lijuan Zhu, Leilei Wang, Zhichao Li, Zhenyu Qi, Vasileios Fotopoulos, Jingquan Yu, Jie Zhou
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Natural evolution has resulted in reduced cold tolerance in cultivated tomato (Solanum lycopersicum). Herein, we perform a combined analysis of ATAC-Seq and RNA-Seq in cold-sensitive cultivated tomato and cold-tolerant wild tomato (S. habroc
Externí odkaz:
https://doaj.org/article/921927f0ce85496f836d85af7db1e992
Autor:
Yimei Liu, Meining Chen, Jun Zhang, Yixuan Wang, Huikuan Gu, Chong Zhao, Zhenyu Qi, Xiaowu Deng, Shuyu Wu, Yinglin Peng
Publikováno v:
IEEE Access, Vol 12, Pp 71433-71441 (2024)
To investigate the effect of different MR sequences on the accuracy of Cycle-consistent Generative Adversarial Network (CycleGAN) based synthetic CT (sCT) generation in nasopharyngeal carcinoma (NPC). In this work, three sequences of MR, included T1-
Externí odkaz:
https://doaj.org/article/125ed60ef4fb48cb8ee697c39c5325a1
Autor:
Mingyue Guo, Fengjun Yang, Lijuan Zhu, Leilei Wang, Zhichao Li, Zhenyu Qi, Vasileios Fotopoulos, Jingquan Yu, Jie Zhou
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/421de949a1ad4cfeb5d0576c375ec81b
Autor:
Jinping Zou, Xinlin Chen, Chenxu Liu, Mingyue Guo, Mukesh Kumar Kanwar, Zhenyu Qi, Ping Yang, Guanghui Wang, Yan Bao, Diane C. Bassham, Jingquan Yu, Jie Zhou
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Autophagy, as an intracellular degradation system, plays a critical role in plant immunity. However, the involvement of autophagy in the plant immune system and its function in plant nematode resistance are largely unknown. Here, we show tha
Externí odkaz:
https://doaj.org/article/c2d27479a67c4831907d2365f7ab371a
Publikováno v:
Complexity, Vol 2024 (2024)
Regional poverty is one of the most serious challenges facing the world today. Poverty, antipoverty, and poverty alleviation are the focus of the attention of scholars and the public. This paper takes China’s counties as the research unit, selects
Externí odkaz:
https://doaj.org/article/54584e8b3bf44c6cb4e2f5fc5664d338
Publikováno v:
Plant Stress, Vol 9, Iss , Pp 100170- (2023)
Brassinosteroids (BRs) are a group of steroid hormones that play essential roles in plant growth and development. However, the roles of BRs in plant defense to pathogens are mainly studied in Arabidopsis, and there are few studies reporting the effec
Externí odkaz:
https://doaj.org/article/5e7d762b41e5475b902f0ca550e47bff
Autor:
Yanjun Zuo, Zhenyu Qi
Publikováno v:
IEEE Access, Vol 10, Pp 2497-2514 (2022)
The oil and gas industry involves a high level of operational expenditure and often faces high risks of asset safety and operational failures. It has never been so important to monitor and control the oil field operations remotely in real-time to ens
Externí odkaz:
https://doaj.org/article/680a571451654d0ab12d625b5d45d485
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Introduction: Using MRI to synthesize CT and substitute its function in radiation therapy has drawn wide research interests. Currently, deep learning models have become the first choice for MRI—CT synthesis because of their ability to study complex
Externí odkaz:
https://doaj.org/article/6f6a58b0173b486e90a886ca2c0adc4a