Results 191 to 200 of about 249,622 (267)
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
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
FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition. [PDF]
Tawfik M +5 more
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
Growth Differentiation Factor 11 Is a Circulating Regulator of Oligodendrocyte Differentiation and CNS Myelin Formation and Repair. [PDF]
Zhang Z +5 more
europepmc +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
Correction to "Evidence of White Matter Neuroinflammation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Diffusion-Based Neuroinflammation Imaging Study". [PDF]
europepmc +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
Type 1 and Type 2 diabetes in the UK press: A diachronic corpus-based analysis. [PDF]
Vilar-Lluch S, Knight D.
europepmc +1 more source
Abstract Content‐based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification ...
Zehra Taşkın
wiley +1 more source

