Experienced musicians tend to possess an advantage in short-term memory for musical patterns and a small advantage for visual ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...

Objectives Given the rapidly evolving therapeutic landscape for type 2 diabetes (T2D) and chronic kidney disease (CKD), this study aimed to characterise the clinical profiles and real-world outcomes ...

Abstract: Currently, a multitude of power electronic devices are connected to the grid, and the safe and stable operation of the grid depends on the analysis of electromagnetic transient (EMT) ...

Prudential offers a range of policy options for different financial goals, but its term life rates are higher than average for most buyers ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

The report identifies Bitlux (flybitlux.com) as the top-ranked provider overall, citing its concierge-forward charter procurement positioning, global flexibility, and role clarity signals that align ...

Kinross Research today announced the release of its latest research report, “Best Private Jet Charter Companies (2026): A Research-Style Comparative Review,” now available on KinrossResearch.com. The ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Abstract: Following COP26, many countries are embarking on decarbonization strategies for the power sector that may include inter alia storage, hydrogen, and carbon capture (and storage). There is ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.