Introduction Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with ...

Abstract: 3D representations of large-scale and urban scenes are crucial across various industries, including autonomous driving, urban planning, natural resource supervision and many more.

Abstract: Machine learning (ML) has rapidly advanced in recent years, revolutionizing fields such as finance, medicine, and cybersecurity. In malware detection, ML-based approaches have demonstrated ...

This paper optimizes the configuration of large-scale data centers toward cost-effective, reliable and sustainable cloud supply chains. We formulate an integer optimization model that optimizes the ...

Methods: We collected and analyzed web-based survey data from 1100 Finnish participants, presenting them with 8 AI use cases in health care: 5 (62%) noninvasive applications (eg, activity monitoring ...

A central goal of human neuroimaging research is to map relationships between mind and brain, enabling decoding of cognitive states from brain activity (Norman, Polyn, Detre, & Haxby, 2006; Poldrack, ...

Just 17% of Americans now say they trust the government in Washington to do what is right “just about always” (2%) or “most of the time” (15%). While trust in government has been low for decades, the ...

Across these 4 studies, robust fraud detection methods were essential to ensure data reliability, with varying strategies, such as using personal identifiers, applied based on specific survey contexts ...