Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Quantum technology is moving—albeit slowly—from theory to proof-of-concept in finance, and it may become one of the most disruptive forces in banking and fintech over the next decade.

Those stages often reflect cultural expectations rather than real user diversity. Advertisers treat transitions like marriage ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

The findings of a newly released study have challenged one-size-fits-all rules and blanket bans, as the Australian government's social media ban for children under 16 has been in effect for over a ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing ...

ABSTRACT: A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were ...

The integration of machine learning (ML) into the cattle industry is transforming the way health outcomes are predicted, offering unprecedented opportunities to improve animal welfare and production ...

Purpose: This paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. In addition, it investigates the ...

The Frequency Modulation Combined (FMC) waveform has delay (range)-Doppler (velocity) coupling resolution, and the traditional nonlinear high-resolution algorithms represented by Point-wise Product ...