Zobrazeno 1 - 10
of 575
pro vyhledávání: '"Chao GENG"'
Autor:
Zi Wang, Miao Sun, Shuang Guo, Yongqiang Wang, Linghao Meng, Jinchuan Shi, Chao Geng, Dongxu Han, Xiaomeng Fu, Jiangdong Xue, Hongxia Ma, Kai Liu
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
IntroductionEscherichia coli is a major pathogen responsible for calf diarrhea, which has been exacerbated by the irrational and unscientific use of antimicrobial drugs, leading to significant drug resistance.MethodsThis study focused on the isolatio
Externí odkaz:
https://doaj.org/article/539c566d9e8e41fd804f8b817dbbbf90
Autor:
Xiaojie Xu, Xiaoxue Huan, Xiuqi Mu, Qing Zhu, Shaoyan Jiang, Xujie Sun, Yanping Tian, Chao Geng, Xiangdong Li
Publikováno v:
Phytopathology Research, Vol 6, Iss 1, Pp 1-13 (2024)
Abstract Tobacco mosaic virus (TMV; genus Tobamovirus) is one of the most prevailing pathogens that seriously affects the quality and yield of tobacco (Nicotiana tabacum) leaves. Cross-protection using mild strains is a potential strategy for the bio
Externí odkaz:
https://doaj.org/article/abcb1386d8bc4d3cb25dc3905a28d8ad
Autor:
Chao Geng, Siyi Liu, Jindan Wang, Sennan Wang, Weiran Zhang, Hua Rong, Yunshan Cao, Shuqing Wang, Zhiqing Li, Yan Zhang
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-19 (2023)
Abstract Myopia is a major public health issue. However, interventional modalities for nonpathologic myopia are limited due to its complicated pathogenesis and the lack of precise targets. Here, we show that in guinea pig form-deprived myopia (FDM) a
Externí odkaz:
https://doaj.org/article/96e1164527ce4b37afa5e86fc8b369dd
Autor:
Dong WANG, Hong LIU, Song TANG, Jinhao BAI, Gang ZHOU, Zhengyong LI, Feng LIANG, Xiucheng TAN, Chao GENG, Ying YANG
Publikováno v:
Petroleum Exploration and Development, Vol 50, Iss 2, Pp 388-403 (2023)
Based on the comprehensive analysis of core, thin section, logging and seismic data, this study carried out the identification and comparison of Permian Changxing Formation sequences, clarified the typical sedimentary architectures of intra-platform
Externí odkaz:
https://doaj.org/article/67cb733ff17f4d71ab9b9b65ddbb9da8
Autor:
Carlos Kwesi Tettey, Xiu-Qi Mu, Hua-Yu Ma, Xin-Yang Chen, Chao Geng, Yan-Ping Tian, Zhi-Yong Yan, Xiang-Dong Li
Publikováno v:
Phytopathology Research, Vol 5, Iss 1, Pp 1-13 (2023)
Abstract Tomato mottle mosaic virus (ToMMV) poses a threat to production and quality of tomato fruits. The Tm-2 2 gene confers resistance to some tobamoviruses by recognizing viral movement proteins. However, Tm-2 2 -mediated resistance against ToMMV
Externí odkaz:
https://doaj.org/article/a990009f1dee47f7a099f0346a032c86
Publikováno v:
Photonic Sensors, Vol 13, Iss 3, Pp 1-15 (2023)
Abstract Virtual Shack-Hartmann wavefront sensing (vSHWS) has some significant advantages and is promising for aberration measurement in the field of biomedical optical imaging. The illumination sources used in vSHWS are almost broadband, but are tre
Externí odkaz:
https://doaj.org/article/57924f8e861f40ac81e418b501d36884
Publikováno v:
Materials, Vol 17, Iss 10, p 2393 (2024)
A crimping and pultruding forming process for truss rods using Carbon Fiber (CF)/Polyether–Ether–Ketone (PEEK) prepreg tape as the raw material is proposed to address the problem of continuous manufacturing of space trusses on orbit. The proposed
Externí odkaz:
https://doaj.org/article/72e12278b0f5449ab77b847464322764
Publikováno v:
Journal of Nanobiotechnology, Vol 21, Iss 1, Pp 1-17 (2023)
Abstract Photoreceptor degeneration is one of the major causes of progressive blindness which lacks of curative treatment. GW2580, a highly selective inhibitor of colony-stimulating factor 1 receptor, has the protective potential on neurons; however,
Externí odkaz:
https://doaj.org/article/a3b9e44e735646febed55d9b668ecd45
Publikováno v:
IEEE Access, Vol 11, Pp 88305-88316 (2023)
High-resolution, multi-channel remote sensing images have complex spatial layout and channel structure. Traditional Convolutional Neural Networks (CNNs) methods do not make full use of the features of remote sensing images, ignoring contextual releva
Externí odkaz:
https://doaj.org/article/27042ca907df4a54a79f97da57017a6e
Publikováno v:
IEEE Access, Vol 11, Pp 26566-26576 (2023)
Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy. In order to solve the problems, based on traditional k-means algorithm, considering the importance of di
Externí odkaz:
https://doaj.org/article/b30a4309e7f24c139418e23a7582c076