Results 191 to 200 of about 45,066 (261)
ABSTRACT Objectives Perceived professional suitability—students' judgment of whether they are well‐suited to their profession—may shift within a semester, yet longitudinal evidence in dental hygiene education is limited. We examined 6‐month changes in perceived suitability and their psychological associations.
Maya Izumi +2 more
wiley +1 more source
Exploring vision transformers for deep feature extraction and classification in video genre recognition for digital media. [PDF]
Alarfaj FK, Naz A.
europepmc +1 more source
Multi-session, multi-device acoustic dataset for progressive tool degradation monitoring. [PDF]
Ahmed T +4 more
europepmc +1 more source
STHANet: Spatiotemporal Hybrid Attention Network for auditory attention decoding
STHANet integrates depth‐wise spatial filtering, log–variance temporal characterization, and transformer‐based spatiotemporal fusion to model global EEG interactions for direct AAD. Abstract Auditory attention decoding (AAD) aims to detect the target speaker from electroencephalography (EEG) signals in multi‐talker environments.
Xu Han, Hongxing Liu, Guangjian Ni
wiley +1 more source
Data-centric review of multimodal emotion recognition: datasets, feature extraction, data fusion and limitations. [PDF]
Khanra M, Roy SS.
europepmc +1 more source
Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios +4 more
wiley +1 more source
AQFormer: severity-aware transformer with aphasia-specific CAM for spoken keyword classification in aphasic speech. [PDF]
Usha GP, Alex JSR.
europepmc +1 more source
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher +3 more
wiley +1 more source

