Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

The AI products that succeed are rarely "moonshots." Success comes from a systematic framework that pairs business metrics ...

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

Human dignity demands just wages, reasonable hours and the right to organize—precisely what the gig economy is designed to ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Invesco International Small-Mid Company Fund outperformed most in the real estate and consumer staples sectors due to stock ...

Given that heme is central to the mechanism of action of artemisinins and some quinolines, we hypothesized that these antimalarials would exhibit strong drug-drug interactions. Previous studies using ...

Medicare Advantage plans that place greater restrictions on home health agency care delivery may have more adverse patient outcomes than plans that provide episodic payments.

Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...

AI” has become the industry’s favorite buzzword. Everywhere you turn, lenders, servicers, and fintech platforms are talking about chatbots, assistants, or “AI-powered” systems. But most of these are ...

Involuntary part-time employment—the share of people who work less than 35 hours per week but want and are available to work full-time—has increased since 2023. While this contrasts with steady ...

By 2050, construction's carbon footprint may double, jeopardizing climate targets. Transitioning to low-carbon materials is ...