Zobrazeno 1 - 10
of 1 045
pro vyhledávání: '"Xuemin, Zhang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract With the surge in Xinjiang jujube production, there has been a concurrent increase in storage losses, posing an ongoing challenge for farmers to preserve the freshness of the jujubes. To tackle this issue, a novel storage and freshness contr
Externí odkaz:
https://doaj.org/article/0586689efe5a48349be6c2658b827eae
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 283, Iss , Pp 116951- (2024)
Hexafluoropropylene oxide trimer acid (HFPO-TA) is an emerging environmental pollutant that can accumulate in air and surface water. Currently, it has been widely used in fluoropolymer industry, which could cause serious environmental pollution. Due
Externí odkaz:
https://doaj.org/article/d43b083e557847e086efc5099432f624
Autor:
Wei Liu, Xuemin Zhang
Publikováno v:
NeuroImage, Vol 303, Iss , Pp 120925- (2024)
The ongoing brain activity serves as a baseline that supports both internal and external cognitive processes. However, its precise nature remains unclear. Considering that people display various patterns of brain activity even when engaging in the sa
Externí odkaz:
https://doaj.org/article/cdae1e7d00694c28a7e1f3bd0314d732
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
This study investigates ionospheric anomalies associated with the Mw 7.1 Wushi earthquake that occurred in Xinjiang, China, on January 22, 2024. We analyze multi-GNSS data, including GPS and BeiDou (BDS), from the Crustal Movement Observation Network
Externí odkaz:
https://doaj.org/article/a884188df39e41559574951f6c19185c
Autor:
Xuemin Zhang1,2,3 zxm2010lut@163.com, Guanyu He1,2,3, Huan Sun1,2,3, Wenqiang Cui1,2,3, Hongbin Song1,2,3, Jinping Li1,2,3, Jian Zheng1,2,3
Publikováno v:
International Journal of Electrochemical Science. Jul2024, Vol. 19 Issue 7, p1-10. 10p.
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26965- (2024)
This paper introduces a novel, Simple-based Dynamic Decentralized Community Detection Algorithm (S-DCDA) for Socially Aware Networks. This algorithm aims to address the resource-intensive nature, instabilities and inaccuracies of traditional distribu
Externí odkaz:
https://doaj.org/article/341cfa536d1a4dfcbc1abc05e54be191
Autor:
Weihao Li, Yuanfeng Liu, Yonghui Wang, Xuemin Zhang, Kun Liu, Yang Jiao, Xiaoming Zhang, Jie Chen, Tao Zhang
Publikováno v:
BMC Medical Education, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background The simulated three-dimensional (3D) printed anatomical model of the aorta, which has become the norm in medical education, has poor authenticity, tactility, feasibility, and interactivity. Therefore, this study explored the educa
Externí odkaz:
https://doaj.org/article/6ef42e3878e842569762a47ac5d0dc6c
Autor:
Muping Yang, Xuemin Zhang, Meijiao Zhong, Yufan Guo, Geng Qian, Jiang Liu, Chao Yuan, Zihao Li, Shuting Wang, Lina Zhai, Tongxia Li, Xuhui Shen
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 770 (2024)
This study presents the spatio–temporal evolution of the electric and magnetic fields recorded by the China Seismo–Electromagnetic Satellite (CSES) and the thermal infrared remote sensing data observed by the Chinese stationary meteorological sat
Externí odkaz:
https://doaj.org/article/8bcd42dcd8c74caaaa760f86e58ebb49
Towards a Novel Generative Adversarial Network-Based Framework for Remote Sensing Image Demosaicking
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2283 (2024)
During satellite remote sensing imaging, the use of Bayer mode sensors holds significant importance in saving airborne computing resources and reducing the burden of satellite transmission systems. The demosaicing techniques play a key role in this p
Externí odkaz:
https://doaj.org/article/874af1efd00841709908bb874f4b29da
Autor:
Xuemin Zhang, Angelo De Santis, Jing Liu, Saioa A. Campuzano, Na Yang, Gianfranco Cianchini, Xinyan Ouyang, Serena D’Arcangelo, Muping Yang, Mariagrazia De Caro, Xinyan Li, Cristiano Fidani, Hong Liu, Martina Orlando, Lei Nie, Loredana Perrone, Alessandro Piscini, Lei Dong, Dario Sabbagh, Maurizio Soldani, Pan Xiong
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2381 (2024)
The coupling processes among the lithosphere, atmosphere, and ionosphere (LAI) during the earthquake preparation phase are still an open scientific debate. Comprehensive LAI coupling effects around the 2022 Ms6.8 Luding earthquake in China are invest
Externí odkaz:
https://doaj.org/article/497a8c393cf04f08a7383a361cab3b9e