Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Xusheng Yan"'
Publikováno v:
Guoji laonian yixue zazhi, Vol 45, Iss 4, Pp 482-485 (2024)
Baicalin (BA), a flavonoid extracted from the roots of Scutellaria baicalensis, has significant neuroprotective, anti-inflammatory, antioxidant, and anti-apoptotic properties, with a notable safety profile and low negative effects. BA has been acknow
Externí odkaz:
https://doaj.org/article/e174d3fd04f8440a9c6c6a35ea34f011
Publikováno v:
Renewable Energy. 198:131-143
Publikováno v:
Environmental Science and Pollution Research. 29:17280-17294
Saline loess is an important cause of environmental geo-issues in northwest China. In this research, electrical resistivity of loess with different moisture contents and NaCl concentrations was measured at three test frequencies. Results indicates th
Publikováno v:
Engineering Fracture Mechanics. 275:108849
Publikováno v:
Biochemical Engineering Journal. 187:108652
Publikováno v:
Science of The Total Environment. 832:154925
Radon gas is a cancer risk and exists naturally in certain soils, such as loess, which is an important raw earth construction material in arid regions such as northwestern China and southern USA. Accordingly, the radon exhalationed from building mate
Publikováno v:
Environmental Earth Sciences. 80
As a special soil widely existing in world, loess engineering properties are often disturbed by water and salt. Hence, the influence of water content and salt content on the conductivity properties of loess was analyzed using the electrical resistivi
Publikováno v:
Environmental Earth Sciences. 80
In recent years, with the development of geothermal resources, the thermal conductivity of soil has become a research hotspot. In this study, the thermal conductivity measured by the transient plane heat source method was used to evaluate five common
Publikováno v:
Engineering Fracture Mechanics. 262:108270
Publikováno v:
Bulletin of Engineering Geology and the Environment. 78:247-266
The main goal of this study is to assess and compare three advanced machine learning techniques, namely, kernel logistic regression (KLR), naive Bayes (NB), and radial basis function network (RBFNetwork) models for landslide susceptibility modeling i