Zobrazeno 1 - 10
of 1 792
pro vyhledávání: '"Zidong, Wang"'
Autor:
Jiayi Yang, Zidong Wang, Jing Jiang, Huiling Tian, Shun Wang, Yizhi Liu, Zumao Cao, Changqing Joseph Yang, Zhigang Li
Publikováno v:
Journal of Traditional Chinese Medical Sciences, Vol 11, Iss 4, Pp 500-512 (2024)
Objective: To elucidate the differences in manual acupuncture effectiveness at sensitized points by investigating the mechanisms of local skin action at different sensitization points in rats with knee osteoarthritis (KOA). Methods: Forty Sprague–D
Externí odkaz:
https://doaj.org/article/d6b20ffd5011480e8bd7aaa87dbc651d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8109-8125 (2024)
Abstract The safe and reliable operation of the pitch system is essential for the stable and efficient operation of a wind turbine (WT). The pitch fault data collected by supervisory control and data acquisition systems (SCADA) often contain a wide v
Externí odkaz:
https://doaj.org/article/2f5de3f1a5734b8ebc9c3010a7c8dd7c
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 2202-2216 (2024)
Idle desert sand was utilized to replacing pure SiO2 in raw materials to synthesize cordierite glass-ceramics. The effects of desert sand addition on sinterability, phase transformation, microstructure, and mechanical and thermal properties of the gl
Externí odkaz:
https://doaj.org/article/375a34f9747a43438c0376b30a580afa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract As an unconventional reservoir sedimentary rock, shale contains a series of layers and various microstructures that lead to complex mechanical properties, such as the anisotropy of stiffness and strength. This study is directed towards the a
Externí odkaz:
https://doaj.org/article/75b6effd5a654b2bb35dfc065bec0847
Autor:
Wei Zhou, Kaixuan Chen, Yanlin Wang, Yuzhi Zhu, Junwei Qin, Yaya Zhao, Zidong Wang, Xiaohua Chen, Lingli Zuo
Publikováno v:
Journal of Materials Research and Technology, Vol 30, Iss , Pp 1751-1757 (2024)
This study explores the plastic deformation mechanism and microstructural evolution of as-homogenized and as-forging Inconel 718 alloy through low temperature and slow strain rate hot compression deformation. The stress-strain curves of Inconel 718 a
Externí odkaz:
https://doaj.org/article/4016b4f323c3400d85e3f2dd7d0a6a6e
Loading direction dependence of asymmetric response of pyramidal slip in rolled AZ31 magnesium alloy
Publikováno v:
Journal of Magnesium and Alloys, Vol 11, Iss 10, Pp 3634-3641 (2023)
Textured magnesium alloys usually exhibit anisotropic mechanical behavior due to the asymmetric activation of different twinning and slipping modes. This work focuses on the pyramidal slip responses of rolled AZ31 magnesium alloy under two loading co
Externí odkaz:
https://doaj.org/article/44f7cb3310134e2da4a648b6c1a60a42
Publikováno v:
Energies, Vol 17, Iss 16, p 4108 (2024)
The regional source–grid–load friendly interaction and precision regulation of adjustable resources with high sensitivity provide important support for the development of a new power system, improving its regulation ability and efficiency and pro
Externí odkaz:
https://doaj.org/article/023aa715688747d48ebaac4d112c1b24
Publikováno v:
Results in Physics, Vol 56, Iss , Pp 107278- (2024)
The two-dimensional thermodynamically consistent phase field model, which consists of the anisotropic Allen-Cahn type equation and the heat equation, is used to study the morphological pattern of the particle in the initial stage of crystal growth. T
Externí odkaz:
https://doaj.org/article/49c831b8767b4165b246fe3e8c17bf75
Publikováno v:
Biomimetics, Vol 9, Iss 6, p 350 (2024)
Causal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning. However, a
Externí odkaz:
https://doaj.org/article/7cbf5faa9d6a4b74891b03175be80b9e
Publikováno v:
Heliyon, Vol 9, Iss 12, Pp e22569- (2023)
This paper innovatively constructed an analytical and forecasting framework to predict PM2.5 concentration levels for 16 municipal districts in Shanghai. By means of XGBoost parameters adjustment, empirical mode decomposition, and model fusion, impro
Externí odkaz:
https://doaj.org/article/16d595d05dce4a9dbe28b536419a6acd