Results 131 to 140 of about 81,220 (264)

Dataset of audiovisual unscripted monologues with speech annotations. [PDF]

Data Brief
Jaeger M, Daeglau M, Grimm G, Bleichner MG.   +3 more
europepmc   +1 more source

Medical students' perspectives on body donation to science within the Italian context

Anatomical Sciences Education, EarlyView.
Abstract Body donation is essential for medical education and research, supporting anatomical training and clinical competence. In Italy, national data on awareness of the legislation regulating body donation and factors shaping donation‐related decisions among healthcare trainees remain limited. This study investigated knowledge of the legal framework,
Antonietta Fazio, Giulio Vara, Veronica Moretti, Annalisa Plava, Anna Maria Billi, Alessandra Ruggeri, Giulia Adalgisa Mariani, Marilisa Quaranta, Simone Lodi, Cecilia Acuti Martellucci, Maria Alessandra Sotgiu, Valentina Di Felice, Sergio Castorina, Guido Carpino, Veronica Macchi, Rita Rezzani, Mario Rende, Andrea Montella, Lucio Cocco, Lucia Manzoli, Stefano Ratti   +20 more
wiley   +1 more source

Design of an artificial intelligence model to screen spontaneous speech to detect Alzheimer's Disease. [PDF]

PLOS Digit Health
Madden KM, Feldman B, Jimenez D, Khokhar M, Li Q, Nguyen M, Zhu J.   +6 more
europepmc   +1 more source

The gift remembered: The Human Anatomy and Physiology Society (HAPS) Anatomical Donor Stewardship's ethical and practical handbook for anatomy donor tributes

Anatomical Sciences Education, EarlyView.
Abstract Providing students with a way to honor human body donors during or after an anatomy course has been shown to help provide a sense of closure and comfort to students and, when present, donor families. Gestures of gratitude for donors can also emphasize humanistic values of respect, empathy, and professionalism.
Bobbie J. Leeper, Rhiannon E. Robinson, Kelsey Stevens, Lacy M. Cleveland, Danielle N. Edwards, Nicole L. Geske, Burhan Gharaibeh, Anya Goldina, Jill Kirby, Jacqueline Phillips, Leslie R. Sewell, J. P. Swigart, Trisha Waldman, Jonathan J. Wisco, Jeremy J. Grachan   +14 more
wiley   +1 more source

Linguistic diversity in machine learning training data: Content analysis of English and Finnish soundscape descriptions in audio captioning. [PDF]

PLoS One
Hekanaho L, Tuuri E, Surakka M, Hirvonen M.   +3 more
europepmc   +1 more source

Re‐humanizing anatomy? Learning through human body donors in physiotherapy education

Anatomical Sciences Education, EarlyView.
Abstract Anatomical knowledge underpins clinical skills and professional identity in physiotherapy. However, dedicated teaching has declined in recent years. Body donor‐based learning, though common in medical education, is rarely used in physiotherapy.
Robert Parish, Chris Carter, John Stephens, Debs Patten   +3 more
wiley   +1 more source

TOPSY: A picture description dataset to examine speech, language and communication in untreated first episode psychosis. [PDF]

Data Brief
Bhullar S, Mouslih CE, Mackinley M, Richard J, Palaniyappan L.   +4 more
europepmc   +1 more source

Designing and evaluating a neuroanatomy learning experience using multiple external representations

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy is challenging, requiring multiple external representations (MER) for comprehension. While studies have examined individual representations of neuroanatomy, a gap remains in understanding how students link across MER, especially between technology‐generated representations with everyday experiences.
Valeria Vendries, Ji Shen
wiley   +1 more source

Modeling audio dynamics using hierarchical assisted K-means model for structured speaker profiling in TED talks. [PDF]

Sci Rep
Renukadevi MN, Rajesh TM, Shaila SG, Kulkarni P, Babu T, Nair RR, Yogarayan S.   +6 more
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source