Abstract: The purpose of this study was to investigate the relationship between workload and in-game technical and athletic performance. To achieve this,A modeling approach that predicts multiple ...

A confusing contradiction is unfolding in companies embracing generative AI tools: while workers are largely following mandates to embrace the technology, few are seeing it create real value. Consider ...

The study proposes the "drusen ooze" hypothesis, suggesting drusen content moves to the subretinal space through RPE defects. Retrospective analysis of 640 eyes identified 53 instances of drusen ...

If you’ve ever wondered how Bitcoin actually works—beyond the price charts and celebrity tweets—this one's for you. "Bitcoin mining is like a big guessing game on computers," Holmes explained. "People ...

IMDb.com, Inc. n'assume aucune responsabilité quant au contenu ou à l'exactitude des articles de presse, des tweets ou des billets de blogue susmentionnés. Ce contenu est publié uniquement dans le but ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

The editorial board is a group of opinion journalists whose views are informed by expertise, research, debate and certain longstanding values. It is separate from the newsroom. Federal judges are not ...

Abstract: Excessive computational cost is one of the main reasons limiting the application of regression analysis in engineering data mining. In this article, an undersampling method is proposed to ...

Your paycheck already buys less than it did three years ago because the recent years inflation spike quietly eroded the real value of savings. Yet 1.4 billion adults still have no bank account at all, ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...