Personal exposure to air pollution is associated with time- and location-specific factors including indoor and outdoor air pollution, meteorology and time activities. Our investigation aims at the ...

Recent studies have introduced advanced computational models and experimental frameworks to better analyze bacterial growth curves, revealing how genetic, environmental, and ecological factors shape ...

A statistical model -- now an easy-to-use software tool -- local police can use to identify a series of related crimes and nab a suspect has been unveiled. Crime linkage is the investigative process ...

Heuristics and statistics shape human and AI decisions as both struggle when patterns fail in complex uncertain environments ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to ...

Specific combinations of CT imaging features rather than individual findings alone may improve the accuracy of identifying radiologic patterns in interstitial lung disease (ILD), according to a new ...

A new machine learning framework, PROLONG, forecasts that global wind and solar capacity could expand faster than most official climate scenarios suggest. Trained on 13,000 simulated national energy ...