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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing ...

From birth-month signatures to global climate gradients, emerging evidence indicates that seasonal light, temperature, and ...

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 ...

Vegan and pesco-vegetarian diets were associated with better kidney function compared with nonvegetarian diets, according to study data published in the Journal of Renal Nutrition. In addition, the ...

The largest fMRI study to date finds that heavy cannabis use in young adults reduces brain activity and impairs working memory performance.

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 ...

Discover effective protein quantification methods for precision in molecular biology and clinical diagnostics.

A meta-analysis of multiple studies reveals a consistent link between high consumption of sugary drinks and anxiety symptoms in adolescents.

This study provides a useful contribution to understanding how wearable augmentation devices interact with human proprioception, using a longitudinal design over a single session. Results demonstrate ...

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 ...