Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

The United States ranks first in AI readiness. It combines very high Individualism with relatively low Power Distance. This cultural configuration aligns with a decentralized innovation ecosystem ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

Psychologists and the public alike have frequently debated whether exceptional cognitive ability comes with a cost to ...

Background Despite several intensive interventions, HIV remains a major public health challenge affecting many individuals worldwide and highlighting ongoing gaps in HIV testing. Objectives To assess ...

The Drexel Urban Health Collaborative (UHC) at Drexel University's Dornsife School of Public Health hosts our Urban Health Summer Institute annually. The Urban Health Summer Institute offers short ...

Gophen, M. and Peres, M. (2026) Chill Hours Record: A Sensitive Method for Climate Change Indication. Open Journal of Modern ...