Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chudi Zhang"'
Autor:
Ailing Wu, Zhongyue Li, Yilong Wang, Yi Chen, Jinkai Peng, Mengying Zhu, Yueyue Li, Hai Song, Dongming Zhou, Chudi Zhang, Yao Lv, Zhengyan Zhao
Publikováno v:
Cell Death Discovery, Vol 9, Iss 1, Pp 1-13 (2023)
Abstract Oncolytic viruses have recently been proven to be an effective and promising cancer therapeutic strategy, but there is rare data about oncolytic therapy in esophageal squamous cell carcinoma (ESCC), especially oncolytic measles virotherapy.
Externí odkaz:
https://doaj.org/article/7bfedc5c205a4432bcc21444cf0834bc
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 263, Iss , Pp 115304- (2023)
The photoactive metal-organic frameworks (MOFs) are good candidates for photocatalysts, but the quick electron-hole pairs recombination has greatly restricted the photocatalytic ability of MOFs. To improve the photoactivity of MOFs, MOFs-based compos
Externí odkaz:
https://doaj.org/article/1706ef5467874fa48870bb942226867e
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1190 (2024)
In contemporary warfare, radar countermeasures have become multifunctional and intelligent, rendering the conventional jamming method and platform unsuitable for the modern radar countermeasures battlefield due to their limited efficiency. Reinforcem
Externí odkaz:
https://doaj.org/article/602e973bb55943fc9565016082223aae
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-15 (2022)
Abstract With the continuous improvement in the resolution of synthetic aperture radar (SAR), there are many problems in the interpretation of high-resolution SAR images, such as a large amount of data and low efficiency of target recognition. In thi
Externí odkaz:
https://doaj.org/article/2ef28a90a79d44909816ab80ff699d81
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3108 (2023)
In order to improve the efficiency and adaptability of cognitive radar jamming decision-making, a fusion algorithm (Ant-QL) based on ant colony and Q-Learning is proposed in this paper. The algorithm does not rely on a priori information and enhances
Externí odkaz:
https://doaj.org/article/d307ba2caca84e419815204e115538a7
Publikováno v:
IEEE Sensors Journal. 23:11383-11403
Publikováno v:
Remote Sensing; Volume 15; Issue 12; Pages: 3108
In order to improve the efficiency and adaptability of cognitive radar jamming decision-making, a fusion algorithm (Ant-QL) based on ant colony and Q-Learning is proposed in this paper. The algorithm does not rely on a priori information and enhances
Autor:
Mengying, Zhu, Yilong, Wang, Chufan, Qu, Rongxian, Liu, Chudi, Zhang, Jinhu, Wang, Dongming, Zhou, Weizhong, Gu, Peichun, Chen, Benqing, Wu, Zhengyan, Zhao
Publikováno v:
Am J Transl Res
In previous studies oncolytic measles viruses (MVs) have shown significant antitumor activity against various tumors. In our research recombinant MV-Hu191 (rMV-Hu191), established via reverse genetics technology and expressing enhanced green fluoresc