Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Xuzhi, Li"'
Autor:
Xinghao, Chen, Xu, Ding, Liantao, Cheng, Xiaobin, Zhang, Yan, Li, Kaifan, Ji, Jianping, Xiong, Xuzhi, Li, Changqing, Luo
Based on 2-minute cadence TESS data from sectors 1-50, we report the results of the systematic extraction of $\delta$ Scuti-type pulsations in the 6431 eclipsing binaries with orbital periods shorter than 13 days. A total number of 242 pulsators were
Externí odkaz:
http://arxiv.org/abs/2211.05283
Publikováno v:
Soil & Environmental Health, Vol 2, Iss 2, Pp 100064- (2024)
Soil fauna including earthworms play a crucial role in various ecosystem functions, thereby contributing to human well-being. The relationships between earthworm populations and environmental factors have frequently been established at regional scale
Externí odkaz:
https://doaj.org/article/30119b78fce045ca92561b41deda1a5a
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4139 (2024)
Online anomaly detection is critical for industrial safety and security monitoring but is facing challenges due to the complexity of evolving data streams from working conditions and performance degradation. Unfortunately, existing approaches fall sh
Externí odkaz:
https://doaj.org/article/384e049733994646ac1505a8075012a0
Autor:
Xuwei Li, Da Ding, Wenyi Xie, Xuzhi Li, Mengjie Wang, Lingya Kong, Dengdeng Jiang, Shaopo Deng
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
As efforts to mitigate soil and groundwater pollution intensify nationwide, the incidence of volatile organic compound (VOC) contaminated sites has risen significantly. These sites exhibit continuous release and dispersion of VOCs during and after re
Externí odkaz:
https://doaj.org/article/574a975073ae4fe6a9e87b40dd203f8e
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 259, Iss , Pp 115052- (2023)
Owing to the rapid development of big data technology, use of machine learning methods to identify soil pollution of potentially contaminated sites (PCS) at regional scales and in different industries has become a research hot spot. However, due to t
Externí odkaz:
https://doaj.org/article/9a3cfa902a2b49388fe481e7fb09545d
Publikováno v:
Toxins, Vol 16, Iss 2, p 82 (2024)
Irrigation with water containing a variety of microcystins (MCs) may pose a potential threat to the normal growth of agricultural plants. To investigate the phytotoxicity of MC-LR at environmental concentrations on rice (Oryza sativa L.), the charact
Externí odkaz:
https://doaj.org/article/106561e182204a759ad6fbcb30721952
Autor:
Peng Zhang, Yang Zhang, Zile Wang, Yang Wang, Mao Li, Ran Niu, Li Liang, Wenju Yang, Ming Gao, Hongen Zhong, Xuzhi Li, Jianding Yu
Publikováno v:
npj Microgravity, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract The greatest challenge of electrostatic levitation for containerless material processing is the stable control of charged material during heating. Recently, high-precision self-adaptive control of electrostatic levitation has been achieved i
Externí odkaz:
https://doaj.org/article/19326ac067c64546b1ad5c7c8c7f16e1
Publikováno v:
Photonics, Vol 10, Iss 12, p 1331 (2023)
Existing space application networks in space stations are mainly fiber-optic cable-based networks due to their low size, weight, and power (SWaP) values. While fiber networks in space stations offer data transmission at high speeds with minimal signa
Externí odkaz:
https://doaj.org/article/6d64fc29ddff48aca17b3e6870249e1a
Publikováno v:
Sensors, Vol 23, Iss 23, p 9535 (2023)
Measuring the similarity between two trajectories is fundamental and essential for the similarity-based remaining useful life (RUL) prediction. Most previous methods do not adequately account for the epistemic uncertainty caused by asynchronous sampl
Externí odkaz:
https://doaj.org/article/c2f2e7171d6f4bb99993bd5c0575ae31
Autor:
Xuwei Li, Yun Chen, Xuzhi Li, Mengjie Wang, Wenyi Xie, Da Ding, Lingya Kong, Dengdeng Jiang, Tao Long, Shaopo Deng
Publikováno v:
Toxics, Vol 11, Iss 6, p 494 (2023)
Asbestos has been confirmed as a major pollutant in asbestos-mining areas that are located in western China. In general, asbestos-fibre dust will is released into the environment due to the effect of intensive industrial activities and improper envir
Externí odkaz:
https://doaj.org/article/6c1bc3128abb4db1bfda98d408a92a70