Climate-driven flood hazard assessment in data-scarce mountainous basins using a GIS-based machine learning and hydrodynamic modelling under CMIP6 SSP scenarios. [PDF]
Khan S +7 more
europepmc +1 more source
Schematic diagram of challenges and advanced strategies by CBP after thickness reduction. ABSTRACT The proton exchange membrane fuel cell (PEMFC) converts clean hydrogen's chemical energy into electricity and is vital for carbon neutrality. However, its development is limited by low volumetric power density and high cost.
Chengxin Li +6 more
wiley +1 more source
Climate change impacts on tropical cyclone-induced power outage risk: Sociodemographic differences in outage burdens. [PDF]
Guikema S +7 more
europepmc +1 more source
Euryops pinifolius, vulnerable plant species in Ethiopia's Afroalpine ecosystem, faces serious threats from overexploitation for fuelwood. Using the MaxEnt model (AUC = 0.985), this study identified key environmental factors‐such as temperature, altitude, vegetation cover, and precipitation seasonality‐affecting its current and future habitat ...
Liyew Birhanu +5 more
wiley +1 more source
Disentangling climate and policy uncertainties for the Colorado River post-2026 operations. [PDF]
Wang B +4 more
europepmc +1 more source
A GCM study of the sensitivity of Antarctic sea ice distribution to ice advection
Xingren Wu, W. F. Budd, Ian Simmonds
openalex
Climate Change Alters Elevational Distribution Patterns of Cormus domestica Habitat
This study utilizes species distribution models to project the habitat shifts of Cormus domestica in Italy, predicting a substantial range reduction of 32%–68% by 2100 driven primarily by rising annual mean temperatures. The results indicate a significant shift of suitable habitats toward higher elevations, creating a scenario where the necessary ...
Qianjiang Li +4 more
wiley +1 more source
Early Eocene Palynofloral Diversity and <i>Nothofagus</i> Niche Modeling Across Western Gondwana. [PDF]
Hinojosa LF +4 more
europepmc +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source

