Objective To examine household-level patterns of self-reliance among forcibly displaced and host populations using the ...

English Department, College of Sciences and Health Professions, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. This research aims to determine if there is a ...

Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model ...

Ministers launched a consultation yesterday on emerging technology that analyses 'motions and emotions' and could help catch ...

The number of published studies using the Delphi method has increased considerably in recent years. The Delphi method is now ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Statistics is the application of mathematical concepts to understanding and analysing large collections of data. A central tenet of statistics is to describe the variations in a data set or population ...

Abstract: Model predictive control (MPC) has proven useful in enabling safe and optimal motion planning for autonomous vehicles. In this article, we investigate how to achieve MPC-based motion ...

Using a single-group pre-post design, this study examined the short-term effects of a mesocycle focused on plyometrics ...

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