From Documents to Digital: Co‐Designing Nutrition Information Videos With Consumers and Dietitians
ABSTRACT Introduction Hospital nutrition care is usually supported by offering written, paper‐based information to patients and carers. However, there is a need for evidence‐based online information, such as videos, to support education. We aimed to co‐design nutrition information videos for current and recently discharged hospital patients and share ...
Hannah Olufson +10 more
wiley +1 more source
Multiplexing of visual-auditory signals in a predominantly auditory brain region. [PDF]
Schmehl MN, Chen Y, Tokdar ST, Groh JM.
europepmc +1 more source
Documentário e ficção: o registro audiovisual como recurso na pesquisa científica da atualidade em ciências da comunicação [PDF]
Cesar Bargo Perez
openalex +1 more source
ABSTRACT Background Stroke is a global health concern. A timely response to a stroke can help reduce morbidity and mortality. However, barriers to timely response include poor recognition of stroke symptoms. Stroke symptom messages are designed to increase stroke recognition and encourage individuals to seek urgent medical assistance.
Hardeep Singh +3 more
wiley +1 more source
Intervention impact of audiovisual arts in youth mental health promotion: a scoping review protocol. [PDF]
Chen Y +5 more
europepmc +1 more source
Correction: Behavioral representations within the endogenous dual attentional pathways during audiovisual integration processing. [PDF]
Zhang Z +5 more
europepmc +1 more source
Videoclipe interativo: novas formas expressivas no audiovisual
Carlos Henrique Sabino Caldas
openalex +1 more source
ABSTRACT Auditory rhythm perception involves bottom‐up encoding of timing information and top‐down maintenance of a particular interpretation, such as grouping beats to form meter. Top‐down meter perception can be measured using electroencephalographic responses like mismatch negativity (MMN), P3a, and Steady‐State Evoked Potentials (SSEPs). Previously
Erica Flaten +2 more
wiley +1 more source
AFCLNet: An Attention and Feature-Consistency-Loss-Based Multi-Task Learning Network for Affective Matching Prediction in Music-Video Clips. [PDF]
Su Z, Liu J, Zhang L, Feng Y, Ren H.
europepmc +1 more source

