Results 211 to 220 of about 5,969,444 (252)

Seeing ourselves in anatomy: Embedding equity, diversity, and inclusivity to transform learning in a UK BSc curriculum

Anatomical Sciences Education, EarlyView.
Abstract Embedding intersectional equity, diversity, and inclusion (EDI) in anatomy education is essential to reflect the growing diversity of student populations, support all learners, and prepare graduates for a more inclusive, socially responsive global workforce.
Michelle Welsh, Ourania Varsou
wiley   +1 more source

Law, neuroscience, and authenticity by design: protecting users' minds in the digital sphere. [PDF]

Front Psychol
Elena Popa Tache C, Sararu CS.
europepmc   +1 more source

A survey investigation of the imaging practices of human body donors in gross anatomy laboratories

Anatomical Sciences Education, EarlyView.
Abstract The imaging of human body donors, as photographs and videos, is increasing in need as digital access of educational materials increases. In the past several years, several professional societies have published guidelines and recommendations for imaging human body donors for all who work with human body donors.
Danielle N. Edwards, Rhiannon E. Robinson, Bobbie J. Leeper, Kelsey E. Stevens, Jeremy J. Grachan   +4 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Management discussion of laws and regulations on human genetic resources in China: a scoping review. [PDF]

BMC Med Ethics
Sun Q, Liu Y, Huang J, Zhang Y, Wang K.
europepmc   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

Editorial: Ethical and legal implications of artificial intelligence in public health: balancing innovation and privacy. [PDF]

Front Med (Lausanne)
Ricci G, Bailo P, Gibelli F.
europepmc   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

Video-Algorithmic Patient Monitoring in Mental Health Inpatient Settings: Qualitative Study of Patient or Consumer, Clinician, and Vendor Perspectives. [PDF]

JMIR Hum Factors
Gooding P, Kennedy H, D'Alfonso S, Kariotis T, Daniel C, Hamilton B.   +5 more
europepmc   +1 more source

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source