Institution
Institute of Mountain Hazards and Environment
Recent research
- Climate & EnvironmentOpen access
Bisphenols (BPs) are widespread environmental endocrine disruptors, but their potential depression-related neurotoxicity has not been systematically assessed. Here, we combined machine learning (ML), network toxicology, molecular docking, and in vivo experiments to screen 26 bisp...
- Climate & EnvironmentOpen access
An SPCL-Stacking ensemble learning framework for landslide susceptibility assessment
Abstract Background Machine learning has been increasingly applied to data driven landslide susceptibility assessment. However, false negative label noise introduced during negative sample selection and the limited predictive capability of single models remain unresolved issues....
- Climate & EnvironmentOpen access
Mountain regions exhibit complex thermal gradients that regulate land–atmosphere energy exchange, yet the global influence of topographic aspect on temperature lapse rates (LRT) remains poorly characterized. Here, we investigate global LRT patterns and their sensitivity to topogr...