The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

BACKGROUND: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...

Objectives Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, ...

Khaberni - For years, public health advice has focused on a simple message: reduce sitting and increase physical activity.

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Highlights: • Metallurgical test work on Southern Palladium’s Bengwenyama Platinum Group Metals (PGM) project UG2 metallurgical sample conducted by RM Process Pty Ltd and MAK Analytical confirms the h ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...