UTILIZING ARTIFICIAL NEURAL NETWORKS AND RANDOM FORESTS TO FORECAST THE DYNAMIC AMPLIFICATION FACTORS OF NON-STRUCTURAL COMPONENTS

Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components

Soft stories in buildings are well-known to present structural vulnerabilities during seismic events, and the failure of non-structural components (NSCs) has been evident in past earthquakes, along with structural damage.This study seeks to investigate how the presence of a soft story in a building affects the criteria for elastic Nursing Covers fl

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Comparison of the diversity of ground beetle (Coleoptera: Carabidae) assemblages in small and large temperate peat bogs

We present a study comparing assemblages of ground beetles between small and large pristine peat bogs in Central-Eastern Europe, to better understand biodiversity variability in peatland ecosystems in tundra patches in the temperate Hair Accessories zone.We found that Shannon diversity and Pielou evenness indices and species composition for carabid

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