Results 161 to 170 of about 275,265 (273)

Independent Effects of Age, Education, Verbal Working Memory, Motor Speed of Processing, Locality, and Morphosyntactic Category on Verb‐Related Morphosyntactic Production: Evidence From Healthy Aging

open access: yesTopics in Cognitive Science, EarlyView.
Abstract This study investigates the role of locality (a task/material‐related variable), demographic factors (age, education, and sex), cognitive capacities (verbal working memory [WM], verbal short‐term memory [STM], speed of processing [SOP], and inhibition), and morphosyntactic category (time reference and grammatical aspect) in verb‐related ...
Marielena Soilemezidi   +3 more
wiley   +1 more source

Hear Me Out: A Lesson in Civil Discourse

open access: yesJournal of Legal Studies Education, Volume 43, Issue 1, Page 7-30, Winter 2026.
Abstract This article describes an innovative and engaging lecture and class exercise designed to teach students how to think critically about issues from different perspectives and communicate effectively with those who disagree with them. The interactive lecture and class exercise introduce a civil discourse framework to encourage constructive ...
Cheryl L. Black
wiley   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source

The social impacts of the arts – myth or reality? [PDF]

open access: yes, 2006
Belfiore, Eleonora, HASH(0x55aa091cc5a8)
core  

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen   +3 more
wiley   +1 more source

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