Results 121 to 130 of about 843,618 (287)

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

Training the morphological mindset: An educational framework for teaching morphological reasoning in the laboratory

Anatomical Sciences Education, EarlyView.
The graphic summarizes the proposed shift from image recognition to morphological reasoning through an iterative process of observation, description, interpretation, integration, and questioning across anatomical, histological, and ultrastructural scales.
Katia Cortese
wiley   +1 more source

The hows and whys—A new teaching model for anatomy learning supported by customized 3D printed models

Anatomical Sciences Education, EarlyView.
Abstract The advent of three‐dimensional (3D) printing technology has enabled educators to design customized 3D printed models (3DPMs), but the current literature shows conflicting evidence regarding the impact of 3DPMs on students' knowledge acquisition.
Rocky Chun Chung Cheung, Tomasz Cecot, Susan M. Bridges, George L. Tipoe, Jian Yang   +4 more
wiley   +1 more source

Utilizing large language models for semantic enrichment of infrastructure condition data: a comparative study of GPT and Llama models

AI in Civil Engineering
Relational databases containing construction-related data are widely used in the Architecture, Engineering, and Construction (AEC) industry to manage diverse datasets, including project management and building-specific information.
Lea Höltgen, Sven Zentgraf, Philipp Hagedorn, Markus König   +3 more
doaj   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
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, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
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

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

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

Telling experts from spammers: expertise ranking in folksonomies

, 2009
With a suitable algorithm for ranking the expertise of a user in a collaborative tagging system, we will be able to identify experts and discover useful and relevant resources through them. We propose that the level of expertise of a user with respect to
Noll, Michael, Ching-man Au Yeung, Meinel, Christoph, Gibbins, Nicholas, Michael G. Noll, Nigel Shadbolt, Nicholas Gibbins, Au Yeung, Ching Man, Christoph Meinel, Shadbolt, Nigel   +9 more
core   +1 more source

Algorithmic responsibility in PPC practice: Interpreting black boxes in digital advertising work

Big Data & Society
This article examines the everyday work of pay-per-click (PPC) specialists in the context of the growing automation and algorithmization of digital advertising.
Natalia Chrobak
doaj   +1 more source