Results 241 to 250 of about 2,216,050 (301)

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

Speech clocks decode dementia phenotypes, social exposome, and biological aging. [PDF]

Sci Adv
Hernandez H, Pedraza LK, Santamaria-Garcia H, Moguilner S, Legaz A, Prado P, Cuadros J, Amoruso L, Gonzalez L, Dellavale D, Espinoza-Puelles JP, Espinosa JP, Jarne C, Mattiussi F, Caccia M, Welford AS, Pelella N, Inchauspe J, Ferrante FJ, Pérez G, Maito MA, Rocatti G, Godoy ME, Migeot J, Orellana P, Caviedes A, Bruno M, Takada L, Slachevsky A, Behrens MI, Bruna B, Aguillon D, Zapata L, Avila-Funes JA, Custodio N, Miller B, Gorno-Tempini ML, Escudero SP, Reyes P, Hu K, de Oliveira MO, Coronel-Oliveros C, Cruzat J, Cardona JF, Corley M, Meier IB, Narayan VA, Tagliazucchi E, Baez S, Duran-Aniotz C, García AM, Ibanez A.   +51 more
europepmc   +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

Linguistic information may compensate for age-related decline in attentional filtering. [PDF]

Commun Biol
Barchet AV, Bruera A, Rimmele JM, Obleser J, Hartwigsen G.   +4 more
europepmc   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source

Large language model analysis of real-world phone calls reveals prodromal and progressive biomarker of parkinsonism: A two-year proof-of-concept study. [PDF]

PLOS Digit Health
Šubert M, Illner V, Novotný M, Kouba T, Tykalová T, Šimek M, Sovka P, Švihlík J, Růžička E, Šonka K, Dušek P, Rusz J.   +11 more
europepmc   +1 more source

Estimating presenteeism from repeated smartphone-based multimodal behavioral responses. [PDF]

PLoS One
Noguchi T, Doki S, Hirokawa M, Nishimura S, Hotta K, Iwata Y, Kouda N, Matsumoto S, Suzuki K.   +8 more
europepmc   +1 more source

Artificial Intelligence for Alzheimer's Disease Diagnosis: From Traditional Machine Learning to Large Language Models. [PDF]

Biosensors (Basel)
Guo X, Sun Y, Chen Y, Liu H, Liu X, Wang X.   +5 more
europepmc   +1 more source

The VOICE-DEP study protocol: Multimodal analysis of voice and speech during medical interviews to support diagnosis and longitudinal monitoring of major depressive disorder. [PDF]

PLoS One
Zabalza-Zudaire M, Sayar-Beristain O, Fructos P, Núñez FE, Carpio FF, García E, Ortiz Á, Ortuño F, Aldaz A, Molero P.   +9 more
europepmc   +1 more source

GEmFakeABSA: graph-embedded fake review detection using aspect-based sentiment analysis. [PDF]

Sci Rep
Chauhan GS, Verma AK, Chaudhary S, Maurya G.   +3 more
europepmc   +1 more source