Objectives This paper examines the differential impact of responsive parenting and nutrition interventions on early child ...

Background Azithromycin mass drug administration (MDA) to ages 1–59 months can reduce childhood mortality; however, more ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Introduction Virtual reality-based telerehabilitation (VR-TR) combines gamified exercises with remote supervision for people with Parkinson’s disease (PD). Its effectiveness and safety in PD remain ...

Abstract: Alzheimer’s disease (AD) is a progressive, incurable condition leading to decline of nerve cells and cognitive functions over time. Early detection is essential for improving quality of life ...

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