Results 111 to 120 of about 51,088 (267)
The impact of family interview on the relationship between medical students and their silent mentor
Abstract The gross anatomy laboratory course often triggers significant negative emotions in medical students during dissection. While various pedagogical interventions aim to alleviate psychological burden, the fundamental question of how students' perceptions of donors evolve throughout the course remains underexplored.
Po‐Fang Tsai +2 more
wiley +1 more source
H-Relation Personalized Communication Strategy.
This paper considers the communication patterns arising from the partition of geometricaldomain into sub-domains, when data is exchanged between processors assigned to adjacentsub-domains. It presents the algorithm constructing bipartite graphs covering the graphrepresentation of the partitioned domain, as well as the scheduling algorithm utilizing ...
openaire +2 more sources
Feedback strategies: Applying theory to practice
Abstract Feedback is a cornerstone of the learning process, as evidenced by extensive educational research on enhancing its process and impact. However, learners consistently rate the quality of feedback lower compared to other aspects of teaching. Over the past decade, feedback models have shifted from a traditional, one‐way transmission from educator
Jenny Clancy +2 more
wiley +1 more source
Medical students' perspectives on body donation to science within the Italian context
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 +20 more
wiley +1 more source
Abstract Human dissection is a foundational component of medical education, yet it places students in profound ethical tension between scientific objectification and respect for human dignity. While prior studies have documented students' emotional responses, the structural transformation of their moral narratives over time, particularly within non ...
Jun‐Ki Lee +2 more
wiley +1 more source
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 +3 more
wiley +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
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley +1 more source
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
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source

