Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Donghuan Xu"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The BAHD acyltransferase family is a class of proteins in plants that can acylate a variety of primary and specialized secondary metabolites. The typically acylated products have greatly improved stability, lipid solubility, and bioavailability and t
Externí odkaz:
https://doaj.org/article/2e05c9e8d1144b7aa98efc0d795e5324
Autor:
Tao Wang, Lingyu Li, Yalong Qin, Bo Lu, Donghuan Xu, Weibing Zhuang, Xiaochun Shu, Fengjiao Zhang, Ning Wang, Zhong Wang
Publikováno v:
Plants, Vol 12, Iss 14, p 2636 (2023)
Taxus is a rare and endangered woody plant worldwide with important economic and ecological values. However, the weak environmental adaptability of Taxus species, in particular the unstable photosynthetic activity in different seasons, always affects
Externí odkaz:
https://doaj.org/article/0859574f2aae44358bf12727bab26c6e
Publikováno v:
Neurocomputing. 455:12-22
Quantized neural networks (NN) with reduced bit precision are practical solutions to minimize computational and memory resource requirements and play a vital role in machine learning. However, it is still challenging to avoid significant accuracy deg
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 235:2897-2910
To solve the problem of shift shock during the inertia phase caused by generalized disturbances in wheel loaders and other construction instruments, a robust double closed-loop tracking control method based on an improved disturbance observer (DOB) h
Publikováno v:
Journal of Mechanical Science and Technology. 34:33-41
The automatic transmission of earthmoving machinery generally has problems of shifting shock and poor control robustness. Low-frequency high-energy random loads and large-space model uncertainties are the main causes of these problems. Therefore, we
Publikováno v:
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030675134
Aiming at the modulation pattern recognition of multiple signals in complex electromagnetic environments, a modulation pattern recognition method based on wavelet approximate coefficient entropy is proposed. Based on the traditional wavelet entropy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff8301fb0f1cfaa1dbf964846b9d2720
https://doi.org/10.1007/978-3-030-67514-1_53
https://doi.org/10.1007/978-3-030-67514-1_53