Causality is a complex concept, which roots its developments across several fields, such as
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …

Cultural heritage sites, particularly those in mountainous regions face serious threats as
mountains are hazardous places and many of them are located on shifting tectonic plates …

In any given machine learning problem, there may be many models that could explain the
data almost equally well. However, most learning algorithms return only one of these …

Cancer mortality is exacerbated by late-stage diagnosis. Liquid biopsies based on genomic
biomarkers can noninvasively diagnose cancers. However, validation studies have …

Identifying the performance factors of organizations is of utmost importance for labor studies
for both empirical and theoretical research. The present study investigates the essential intra …

For developing countries, scarcity of climatic data is the biggest challenge, and model
development with limited meteorological input is of critical importance. In this study, five data …

The past several years have witnessed increased calls for community violence interventions
(CVIs) that address firearm violence while centering local expertise and avoiding the …

Reinforced composite is a preferred choice of material for the design of industrial lightweight
structures. As of late, composite materials analysis and development utilizing machine …

Identifying areas prone to flooding is a key step in flood risk management. The purpose of
this study is to develop and present a novel flood susceptibility model based on Bayesian …

Thunderstorms are one of the most damaging weather phenomena in the United States, but
they are also one of the least predictable. This unpredictable nature can make it especially …