Results 221 to 230 of about 9,818 (257)

Leveraging large language models and embedding representations for enhanced word similarity computation. [PDF]

Sci Rep
Peng X, Jiang H, Chen J, Liu M, Chen X.
europepmc   +1 more source

Abnormal functional connectivity patterns in temporal lobe epilepsy—An international ENIGMA‐epilepsy study

Epilepsia Open, EarlyView.
Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi, Jonathan Ipser, James T. Butler, Heath Pardoe, Hamid Soltanian‐Zadeh, Christian Rummel, Roland Wiest, Simon S. Keller, Barbara A. K. Kreilkamp, Anna Elisabetta Vaudano, Alice Ballerini, Stefano Meletti, Gerard Hall, Peter Taylor, Luis Concha, Alfonso Fajardo‐Valdez, Raphael Fernandes Casseb, Fernando Cendes, Clarissa L. Yasuda, Louis Lemieux, John S. Duncan, Esmaeil Davoodi‐Bodj, Orrin Devinsky, Sophia I. Thomopoulos, Dan J. Stein, Paul M. Thompson, Sanjay M. Sisodiya, Taha Gholipour, Carrie R. McDonald   +28 more
wiley   +1 more source

A hybrid deep learning model for user story effort estimation. [PDF]

PLoS One
Malik S, Hamid M, Saleem M.
europepmc   +1 more source

A primary care‐led school‐centered model for epilepsy detection and care among children in India

Epilepsia Open, EarlyView.
Abstract Objective We evaluated whether a primary care‐led, school‐centered epilepsy detection model, delivered through India's national school health program, Rashtriya Bal Swasthya Karyakram (RBSK), could improve childhood epilepsy detection and the knowledge, attitudes, and practices (KAP) of teachers and primary healthcare providers.
Sulena Sulena, Gagandeep Singh, Akanksha Nagar, Preeti Padda   +3 more
wiley   +1 more source

Physiological sensing systems and AI-based signal analysis in immersive virtual reality learning and training: A scoping review. [PDF]

PLoS One
Zhou W, Hu X, Ng JTD, Wei W.
europepmc   +1 more source

Prepare, don't scare: Rethinking cognitive readiness before epilepsy surgery

Epilepsia Open, EarlyView.
Abstract Epilepsy surgery is an effective but underutilized treatment for drug‐resistant epilepsy, and concerns about postsurgical cognitive change are a prominent barrier. Refinements in surgical technique can reduce cognitive impact, but cognitive change cannot always be avoided, and approaches carrying lower cognitive risk are often less effective ...
Kayela Arrotta, Sofia Lesica, Hien Luu, Sallie Baxendale   +3 more
wiley   +1 more source

Critically Revisiting the Psychometric Properties of the EDE‐Q and Its Short Forms: Is It Time to Move On?

European Eating Disorders Review, EarlyView.
ABSTRACT Background The Eating Disorder Examination Questionnaire (EDE‐Q) remains the most widely used self‐report measure of eating disorder symptoms, despite concerns regarding its factorial instability, construct redundancy, and local item dependence. Numerous brief versions have been proposed to address these limitations.
Rafael Moreton Alves da Rocha, Andrea Phillipou, Erica Neill, Stephanie Miles   +3 more
wiley   +1 more source

Designing a Culture‐Driven C‐STEAM Project Framework for Vocational Education

Future in Educational Research, EarlyView.
ABSTRACT Amid rapid technological advances and a growing emphasis on cultural sustainability in education, STEAM education has been widely adopted to support interdisciplinary learning and decision‐making skills. However, many STEAM implementations remain largely instrumental, regularly neglecting cultural meaning‐making, value orientation, and ...
Zhang Congmin, Chen Ting, Seuk Wai Phoong, Seuk Yen Phoong   +3 more
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

Continuous Team Semantics [PDF]

Lecture Notes in Computer Science, 2019
We study logics with team semantics in computable metric spaces. We show how to define approximate versions of the usual independence/dependence atoms. For restricted classes of formulae, we show that we can assume w.l.o.g. that teams are closed sets. This then allows us to import techniques from computable analysis to study the complexity of formula ...
Arno Pauly, Juha Kontinen, Asa Hirvonen
exaly   +6 more sources