Aphantasia, the inability to form mental images, poses a serious challenge to an influential theory of abstract thought in ...

Summary: Researchers argue that aphantasia, the complete inability to voluntarily form mental images, fundamentally shatters Hume’s theory and modern imagistic models of cognition. Individuals with ...

Imagine technology that could let you walk in someone else's shoes, changing not just your perspective, but your deepest, ...

Background Evidence from several countries suggests increasing mental health problems among children and adolescents, raising ...

From 1929 to 1949, China formulated a series of systematic economic propositions catering to national independence and people’s liberation amid the development of Chin ...

AI text detector accuracy is worse than most institutions realize. New research from Pindrop and the Authors Guild confirms that skilled human writers are systematically flagged as AI-generated — and ...

Predicting traffic conditions from online route queries is a challenging task as there are many complicated interactions over the roads and crowds involved. In this paper, we intend to improve traffic ...

Contributions on the topics listed in Section C of the Conference Announcement are welcome as oral or poster presentations. All submissions, apart from invited papers, must present original work, ...

Objectives: To assess the relation between exposure to carbonless copy paper (CCP), paper dust, and fumes from photocopiers and printers (FPP), and the occurrence of sick building syndrome ...

Doretha Clemons, Ph.D., MBA, PMP, has been a corporate IT executive and professor for 34 years. She is an adjunct professor at Connecticut State Colleges & Universities, Maryville University, and ...

Scientists show that the frequency of a set of words seems to have increased in published study abstracts since ChatGPT was released into the world. By Gina Kolata Scientists know it is happening, ...

Abstract: The purpose of this work is to explore the applicability and effectiveness of deep learning methods for the task-moves recognition in abstract of research paper. We firstly build a large ...