BMJ Global Health

Ambient temperature variations and antimicrobial resistance: a multicountry analysis of non-linear relationships and temperature thresholds

Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...

AI analysis of data from multiple sensors can improve earthquake detection

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
IEEE

An Effective Very Short-Term Wind Speed Prediction Approach Using Multiple Regression Models

Abstract: As one of the dominant forms of renewable energy sources, wind power generation plays an increasingly important role in modern energy landscape. A very short-term wind speed prediction is ...
Investopedia

Stepwise Regression Explained: Uses, Benefits, and Drawbacks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Investopedia

Understand Variance Inflation Factor (VIF) in Regression Analysis

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
IEEE

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

Abstract: Electric load forecasting, especially short-term load forecasting (STLF), is becoming more and more important for power system operation. We propose to use multiple kernel learning (MKL) for ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using C#

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
Science Daily

New method improves survival analysis power in clinical and epidemiological studies

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...
Frontiers

Editorial: Advanced data-driven methods for monitoring solar and wind energy systems

Renewable energy systems, specifically wind and solar photovoltaic (PV) systems, play a crucial role in addressing the urgent need for sustainable and reliable energy sources. They reduce dependence ...
WebMD

Coronavirus and COVID-19: What You Should Know

COVID-19 is a disease caused by SARS-CoV-2 that can trigger what doctors call a respiratory tract infection. In early 2020, the World Health Organization identified SARS-CoV-2 as a new type of ...