Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Mingjie Wu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Satellite navigation positioning has become an indispensable component of everyday life, where precise pinpointing and rapid convergence are crucial in delivering timely and accurate location information. However, due to the damping of integ
Externí odkaz:
https://doaj.org/article/8a21f8cefa4a42d98035e9cdbc9322aa
Autor:
Junliang Chen, Mingjie Wu, Yulan Yang, Chunyan Ruan, Yi Luo, Lizhi Song, Ting Wu, Jun Huang, Bing Yang, Ting Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Replication fork reversal, a critical protective mechanism against replication stress in higher eukaryotic cells, is orchestrated via a series of coordinated enzymatic reactions. The Bloom syndrome gene product, BLM, a member of the highly c
Externí odkaz:
https://doaj.org/article/00f7c422a4dd4430b23246b18637fc0c
Autor:
Mingjie Wu, Xiaohua Yang, Xun Cui, Ning Chen, Lei Du, Mohamed Cherif, Fu-Kuo Chiang, Yuren Wen, Amir Hassanpour, François Vidal, Sasha Omanovic, Yingkui Yang, Shuhui Sun, Gaixia Zhang
Publikováno v:
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-15 (2023)
Highlights Engineering Fe-N4 electronic structure with adjacent Co-N2C2 and Co sub-nanoclusters to optimize the electronic structure of the Fe-N4 active center is first demonstrated. Electrochemical studies reveal that the amorphous carbon corrosion
Externí odkaz:
https://doaj.org/article/5af623ce658740faa061b40957fb6f75
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1441 (2024)
The growth environment of green walnuts is complex. In the actual picking and identification process, interference from near-background colors, occlusion by branches and leaves, and excessive model complexity pose higher demands on the performance of
Externí odkaz:
https://doaj.org/article/108bf98f704e4a1684660f84d47581e8
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1900 (2024)
The youcai mosaic virus (YoMV) can infect a diverse array of crop species, such as Raphanus sativus, Brassica napus, Solanum nigrum, and Rehmannia glutinosa, causing substantial economic damage. This study aimed to develop a rapid, sensitive, and eco
Externí odkaz:
https://doaj.org/article/68f347700a9046ac8add3b715068efa9
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1279 (2024)
Object detection models are commonly used in yield estimation processes in intelligent walnut production. The accuracy of these models in capturing walnut features largely depends on the quality of the input images. Without changing the existing imag
Externí odkaz:
https://doaj.org/article/ed52a0fd8f1e4ca98efd1a9f84a258b4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/4dc6cb477fd74425b2688e528e9825f5
Autor:
Xichao Yu, Mingjie Wu, Qinhai Meng, Weijie Zhu, Chenyan Zhang, Bowen Liu, Yuewen Qi, Shuqun Gu, Xinyu Wang, Jingli Wen, Yu Li, Xu Qi
Publikováno v:
Clinical and Translational Science, Vol 16, Iss 8, Pp 1369-1380 (2023)
Abstract Pulmonary arterial hypertension (PAH) is a pathophysiological state of abnormally elevated pulmonary arterial pressure caused by drugs, inflammation, toxins, viruses, hypoxia, and other risk factors. We studied the therapeutic effect and tar
Externí odkaz:
https://doaj.org/article/68132918f5b84996bf5be14843a7fb7e
Publikováno v:
Agriculture, Vol 14, Iss 4, p 646 (2024)
During the process of walnut identification and counting using UAVs in hilly areas, the complex lighting conditions on the surface of walnuts somewhat affect the detection effectiveness of deep learning models. To address this issue, we proposed a li
Externí odkaz:
https://doaj.org/article/11125a6aa892444298c75ea74dcda217
Publikováno v:
Nano-Micro Letters, Vol 14, Iss 1, Pp 1-25 (2021)
Abstract Rechargeable zinc-air batteries (ZABs) are currently receiving extensive attention because of their extremely high theoretical specific energy density, low manufacturing costs, and environmental friendliness. Exploring bifunctional catalysts
Externí odkaz:
https://doaj.org/article/171ea5bd72734119accb2288c811771c