Objectives We aimed to examine the relationship between cycling (particularly commuter cycling) and risk factors associated with cardiovascular diseases (CVDs) including body composition, blood lipids ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

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 ...

“We need a Manhattan Project for this,” one economist says. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

Abstract: Complex random signals play an increasingly important role in array, communications, and biomedical signal processing and related fields. However, the fundamental properties of ...

The word correlation is used in everyday life to denote some form of association. We might say that we have noticed a correlation between foggy days and attacks of wheeziness. However, in statistical ...

This repo contains an R package called iPVs. The purpose of iPVs is to aid users with with the identification of representative (or independent) principal variables in an inter-correlated data set.

Abstract: Fuzzy random variables possess several interpretations. Historically, they were proposed either as a tool for handling linguistic label information in statistics or to represent uncertainty ...

The F-8’s variable incidence wing allowed the fuselage to remain level during carrier approaches, improving pilot visibility and reducing stall risk. This innovation delivered safer recovery ...

The word “Islamophobia” and its definition have been highly contested amongst scholars, authors and policymakers regarding its ability to allow proper discussion on Islam. In this 10-part series, ...

The STAC Machine Learning Model (MLM) extension provides a standard set of fields to describe machine learning models trained on overhead imagery and enable running model inference. The main ...