Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Linjiang Zhou"'
Autor:
Jianqiao Lai, Xinran Yang, Wenyue Luo, Linjiang Zhou, Langchen Li, Yongqi Wang, Xiaochuan Shi
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3532 (2024)
With the rapid development of the Internet and social media, false information, rumors, and misleading content have become pervasive, posing significant threats to public opinion and social stability, and even causing serious societal harm. This pape
Externí odkaz:
https://doaj.org/article/84be0668ee564541893e86e7831ded45
Autor:
Linjiang Zhou, Yan Fu, Xinyuan Zhang, Tong Wang, Guangyuan Wang, Liwei Zhou, Hailong Yu, Xuemei Tian
Publikováno v:
Journal of Fungi, Vol 9, Iss 6, p 604 (2023)
Sanghuangporus sanghuang is a large wood-decaying mushroom highly valued in traditional Chinese medicine due to its medicinal properties, including hypoglycemic, antioxidant, antitumor, and antibacterial properties effects. Its key bioactive compound
Externí odkaz:
https://doaj.org/article/d497f6802bb849ae8a015028483e3d2b
Publikováno v:
Journal of Functional Foods, Vol 87, Iss , Pp 104825- (2021)
Sanghuangporus sanghuang polysaccharide (SHP) and ethyl alcohol fractions from the alcohol deposit fluid (SHE) were obtained from the fermentation broth of S. sanghuang. The component analysis by GC–MS showed that 4 organic reagent (petroleum ether
Externí odkaz:
https://doaj.org/article/f64befad8eab49d2a569a54bf467b23a
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Background: Sanghuangporus sanghuang (S. sanghuang) is a large wood-decaying mushroom that is considered a traditional Chinese herbal medicine because of its high medicinal value. The fundamental bioactive substances produced mainly include flavonoid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddcd8d96f7c2e6052f5466297c44360d
https://doi.org/10.21203/rs.3.rs-1595132/v1
https://doi.org/10.21203/rs.3.rs-1595132/v1
Publikováno v:
2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022).
Autor:
Linjiang Zhou
In recent years, Convolutional Neural Networks (CNNs) have been widely applied in various applications due to its powerful learning capability. However, its lack of explainability hinders its further usage in tasks requiring high reliability. Therefo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d4175abe0838d9cfe95a447c705021
Publikováno v:
IJCNN
In recent years, Convolutional Neural Networks (CNN s) have been widely applied in various applications due to its powerful learning capability. However, its lack of explainability hinders its further usage in tasks requiring high reliability. Theref
Autor:
Ruiman, Xie, Min, Fang, Linjiang, Zhou, Shanghua, Fan, Jianying, Liu, Hongbo, Quan, Man, Luo, Dongying, Qiu
Publikováno v:
Neural Regeneration Research
To investigate the feasibility and time window of early detection of Wallerian degeneration in the corticospinal tract after middle cerebral artery infarction, 23 patients were assessed using magnetic resonance diffusion tensor imaging at 3.0T within
Autor:
Ruiman Xie, Min Fang, Linjiang Zhou, Shanghua Fan, Jianying Liu, Hongbo Quan, Man Luo, Dongying Qiu
Publikováno v:
Neural Regeneration Research; Apr2012, Vol. 7 Issue 12, p900-905, 6p