This study shows that ICTI reduces intrusive memory frequency and post-traumatic stress disorder symptoms among health-care workers exposed to trauma. As a brief, scalable digital intervention, ICTI ...

If emotion functions as an operating system of silicon-based life, its implications extend far beyond robots. It defines not a feature category, but a new computing paradigm: any device that senses, ...

A certain type of brain training appears to prevent or delay dementia by some 25% in people older than age 65, according to ...

When absences accumulate, teachers can implement specific strategies so that all students complete necessary work.

Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge ...

Abstract: This paper investigates the dependent task scheduling with service caching (DTSSC) in mobile edge computing (MEC) systems, where each task requires a specific service program for execution.

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...

Abstract: Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...