Results 161 to 170 of about 223,585 (245)

A Study of Relationship between Consumer\ue2s Information Search on Internet and the Keywords Advertising Effects

, 2008
This study analyzes the relationship between the information search of internet users and the keywords advertising effects. According to the result of literature review, this study takes \ue2information search on the internet\ue2, four perceptual ...
Hung, Yu-Fan
core  

Gender Equity in Rheumatology Research: Global Analysis of Authors

Arthritis &Rheumatology, EarlyView.
Objective To investigate gender representation of authors in rheumatology research over the last decade. Methods Using metadata from original and review articles published between 2015 and 2024 in SCImago top two quartile (Q1, Q2) rheumatology journals, author gender was classified using two public databases.
Michael Girdwood, Jean W. Liew, Ida K. Haugen, Marcella F. Pazzinatto, Andrea M. Bruder, Nicola Dalbeth, Adam G. Culvenor, Tuhina Neogi   +7 more
wiley   +1 more source

Comparative transcriptional profiling of key macrophage and fibroblast subpopulations in rheumatoid arthritis‐associated lung disease

Arthritis &Rheumatology, Accepted Article.
Objective Rheumatoid arthritis (RA) often involves extra‐articular complications, including interstitial lung disease (ILD) and/or pulmonary nodules. Transcriptomic profiling of lung tissue provides the opportunity to directly assess cell‐specific gene expression and corresponding pathway activation in different types of rheumatoid lung disease ...
Tracy Tabib, Ogechukwu Ezenwa, Joshua Sciurba, Eleanor B. Valenzi, John Sembrat, Brittany Cody, Jishnu Das, Robert Lafyatis, Dana P. Ascherman   +8 more
wiley   +1 more source

Keywords Index

Portugaliae Electrochimica Acta, 2003
openaire   +1 more source

From Interferon Signature to the Clinical Landscape: Type I Interferonopathies

Arthritis &Rheumatology, Accepted Article.
Background Type I interferonopathies are heterogeneous diseases driven by dysregulated IFN‐I signaling. Diagnosis is challenging due to clinical/molecular variability and the need for IFN‐I quantification. Objective To characterize the clinical, immunological, genetic, molecular profiles of patients with suspected enhanced IFN‐I signaling, and assess ...
Ismail Yaz, Seza Ozen, Hacer N. Bildik, Canberk Ipsir, Dilara Unal, Saliha Esenboga, Begum Cicek, Mehmet E. Seker, Fatima Aerts‐Kaya, Seher Sener, Mehmet O. Erkan, Hanife Avci, Deniz Cagdas, Ilhan Tezcan   +13 more
wiley   +1 more source

IgG Glycosylation‐Dependent CLEC7A Signaling Drives Podocyte Dysfunction in Lupus Nephritis

Arthritis &Rheumatology, Accepted Article.
Background Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE) that can lead to end‐stage kidney disease and increased mortality. Immunoglobulin G (IgG) from LN patients displays abnormal glycosylation, contributing to podocyte injury.
Rohit Upadhyay, Alexia Orellana, George C. Tsokos, Rhea Bhargava   +3 more
wiley   +1 more source

Development of effective 3D digital models for first‐time learners of musculoskeletal anatomy

Anatomical Sciences Education, EarlyView.
Abstract Musculoskeletal anatomy is a critical component of allied health curricula. With the ubiquity of technology in the classroom and the recent COVID‐19 pandemic creating accessibility barriers for students, there is a need for viable digital resources to enhance learning by supplementing traditional textbook studying.
Alexander H. Safir, Michele M. Bird, Mary E. Orczykowski   +2 more
wiley   +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

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
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, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Associating cognitive abilities with naturalistic search behavior

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 665-685, April 2025.
Abstract Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities.
Tung Vuong, Pritom Kumar Das, Tuukka Ruotsalo   +2 more
wiley   +1 more source