Zobrazeno 1 - 10
of 1 795
pro vyhledávání: '"Chen Yijun"'
Publikováno v:
Shipin yu jixie, Vol 40, Iss 6, Pp 227-232 (2024)
Ganoderma lucidum has anti-tumor, antioxidant, and immune enhancing effects. This review summarized the latest research progress on the main nutritional components and biological activities of G. lucidum and the current comprehensive utilization stat
Externí odkaz:
https://doaj.org/article/313322ee6e6744f4bfd8541785eab748
Autor:
Chen Yijun, Lu Zhujin, Feng Jiaxin, Chen Zefeng, Liu Zejian, Wang Xiuqi, Yan Huichao, Gao Chunqi
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1213-1221 (2023)
Roof plate-specific spondin 1 (R-spondin1, RSPO1) is a Wnt/β-catenin signaling pathway activator that binds with Wnt ligands to stimulate the Wnt/β-catenin signaling pathway, which is key to hair regeneration. However, it is not clear whether recom
Externí odkaz:
https://doaj.org/article/33dd55d0fb8a4bc9bcb1ae71ef42ea3c
Autor:
Wang Donglin, Chen Yijun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the development of digital technology, digital visual communication has more diversified forms in cultural heritage protection. This paper proposes to design a series of digital commemorative collection tickets for the Dong painting based on the
Externí odkaz:
https://doaj.org/article/15eec94af82e4243825ccbb0554cd8ce
Autor:
Wang Donglin, Chen Yijun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The spatial characteristics and structure of the exhibition display design are summarized through the analysis of the topological relationship of the exhibition display spatial structure, and the RCTG algorithm in IBM technology is applied to extract
Externí odkaz:
https://doaj.org/article/2e8fce36427048c0850d202784765df3
Publikováno v:
Jisuanji kexue, Vol 50, Iss 1, Pp 59-68 (2023)
With the development of computer technology,using machine learning algorithms to build automated evaluation models has become an important tool to for the financial institutions to conduct credit evaluation.However,currently,the credit evaluation mod
Externí odkaz:
https://doaj.org/article/b3fdc32e787041ac825957e2dd767c15
We introduce a pioneering unified library that leverages depth anything, segment anything models to augment neural comprehension in language-vision model zero-shot understanding. This library synergizes the capabilities of the Depth Anything Model (D
Externí odkaz:
http://arxiv.org/abs/2406.18591
In the transition to achieving net zero emissions, it has been suggested that a substantial expansion of electric power grids will be necessary to support emerging renewable energy zones. In this paper, we propose employing battery-based feedback con
Externí odkaz:
http://arxiv.org/abs/2406.01206
This paper proposes a unified methodology for voltage regulation, frequency synchronization, and rotor angle control in power transmission systems considering a one-axis generator model with time-varying voltages. First, we formulate an output consen
Externí odkaz:
http://arxiv.org/abs/2406.01643
In this paper, we consider microgrids that interconnect prosumers with distributed energy resources and dynamic loads. Prosumers are connected through the microgrid to trade energy and gain profit while respecting the network constraints. We establis
Externí odkaz:
http://arxiv.org/abs/2402.02690
Publikováno v:
Leida xuebao, Vol 7, Iss 5, Pp 531-547 (2018)
The technique of radar feature extraction, imaging, and recognition of target with micro-motions has become one of the most potential research directions in the field of radar target accurate recognition. In this paper, the concept of micro-motion is
Externí odkaz:
https://doaj.org/article/e0d2da568d3244e6bcd5a3791cee0de6