Results 181 to 190 of about 1,468,270 (262)
Mobile-First Web Access and Captioned Video in Francophone Cardiology Education: Multicountry Ecological Learning Analytics Study. [PDF]
Roussel T +8 more
europepmc +1 more source
Emotion and Engagement Across the Idol Spectrum: Comparing Virtual and Human Idols
ABSTRACT The increasing adoption of virtual idols in entertainment platforms raises critical questions about how viewers respond to their emotional performances compared to human idols. Despite their growing presence, little is known about whether and how emotional expressivity differs across performer modalities and content formats, or how these ...
Lin Kim +4 more
wiley +1 more source
Towards Fault-Aware Image Captioning: A Review on Integrating Facial Expression Recognition (FER) and Object Detection. [PDF]
Khan AS, Abbass MJ, Khan AH.
europepmc +1 more source
Finding of in vitro S. aureus status with reduced Agr activity and impaired biofilm. ABSTRACT Anti‐quorum sensing (QS) therapy has been focused on to reduce the virulence of pathogenic bacteria. However, there is a risk that suppression of the staphylococcal QS Agr system might promote biofilm formation.
Nghi Bao Nguyen +4 more
wiley +1 more source
Long-text caption generation for surgical image with a concept retrieval augmented large multimodal model. [PDF]
Liu J +6 more
europepmc +1 more source
Abstract This qualitative study directly engaged 46 young people (YP) with Special Educational Needs and Disabilities (SEND), aged 14–25, who were in education, to discover their experiences during the COVID‐19 pandemic (2020–2022). Unlike past research relying on parents or professionals, this study captured their voices directly regarding daily life,
Jacqueline Paterson +3 more
wiley +1 more source
SocialGen: Modeling Multi-Human Social Interaction with Language Models. [PDF]
Yu H +6 more
europepmc +1 more source
ABSTRACT Background Inequities in access, engagement, and outcomes persist across outpatient rehabilitation services in Canada, disproportionately affecting Indigenous Peoples, newcomers and refugees, gender‐ and sexually‐diverse individuals, and people with lower income.
Nora Bakaa +14 more
wiley +1 more source
Deep learning-driven image captioning: Progress through transformers and large language models. [PDF]
Panchal P +4 more
europepmc +1 more source
ABSTRACT Background #chatsafe is a programme aiming to empower young people to communicate safely on social media about self‐harm and suicide. This study aimed to assess the feasibility, acceptability, safety, and impact associated with attending a #chatsafe participatory workshop, using the #chatsafe Youth Participation Model.
L. La Sala +5 more
wiley +1 more source

