Results 201 to 210 of about 2,663,123 (277)
Abstract In response to the COVID‐19 pandemic, the Faculty of Medicine and Health Sciences at McGill University initiated blended curriculum delivery for first‐year medicine and dentistry students in anatomy, combining limited hands‐on dissection with online laboratory‐adjacent activities using a 3D software application.
Jobanpreet Dhillon +5 more
wiley +1 more source
The social origins of identity and bias: Language models, accumulated meaning and positioning. [PDF]
Durrheim K.
europepmc +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
Category-based attention facilitates the recognition of actions. [PDF]
Danaj F +4 more
europepmc +1 more source
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 +4 more
wiley +1 more source
rTMS over bilateral superior temporal gyri combined with auditory-speech training for post-stroke pure word deafness: a case report. [PDF]
Chen X, Chang Y, Leng Y, Chen X, Li Y.
europepmc +1 more source
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
SKORE: Skill-oriented extraction engine from job advertisements using large language models. [PDF]
Menezes PC +4 more
europepmc +1 more source
Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley +1 more source

