Results 161 to 170 of about 167,833 (278)

Impacts of body donor non‐anonymization on students' educational and humanistic development: A systematic review

Anatomical Sciences Education, EarlyView.
Abstract A recent trend in healthcare education has been the increasing emphasis on the development of humanism and empathy in students. Within anatomy education, some institutions have implemented curricular innovations such as donor non‐anonymization to facilitate this development.
Rodrigo Muscogliati, Eduardo Muscogliati, Weronika Nocun, Kat A. Sanders, Lauren Clunie, Paul J. McKeegan   +5 more
wiley   +1 more source

Improving personalized recommendations system using graph attention networks driven by perceived complexity and innovation. [PDF]

Sci Rep
Ullah S, Khan A, Khan KU, Amanullah, Chohan RT, Khan MN.   +5 more
europepmc   +1 more source

Beyond the grave: Do the dead have rights?

Anatomical Sciences Education, EarlyView.
Abstract Anatomists who work with the Dead often see themselves as custodians of the Dead. To those who opine that the Dead no longer have Rights (legal or moral) or privileges and have nothing more to contribute to the development of Society or to human endeavor, the Dead's custodians might respond that there is ample evidence that some Rights and ...
Beverley Kramer, Bernard Moxham
wiley   +1 more source

A deep sentiment model combining ALBERT-driven context and EHO-optimized architecture. [PDF]

Sci Rep
Oqaibi H, Sharma S.
europepmc   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies. [PDF]

Front Big Data
Susanto H, Omar AS, Shafa Susanto AK, Setiana D, Fang-Yie L, Shaikh JM, Insani A, Khusni U, Hidayat R, Akbari I, Basuki I.   +10 more
europepmc   +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

A global twitter sentiment analysis model for COVID-vaccination. [PDF]

Sci Rep
Chakrabarty D, Chatterjee S, Mukhopadhyay A.   +2 more
europepmc   +1 more source

Annotating aspects in text and image: A new task and dataset for multimodal aspect‐based sentiment analysis

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang, Jia Yang, Jin‐Cheon Na, Jianfei Yu   +3 more
wiley   +1 more source

Manual annotation based sentiment analysis of user feedback in health and wellness app reviews. [PDF]

Sci Rep
Varghese L, Pai RR, Savitha G, Girisha S, Chetty N.   +4 more
europepmc   +1 more source