Results 61 to 70 of about 299 (124)
International Journal of Psychology, Volume 61, Issue 4, August 2026.ABSTRACT Affective state investigation requires precise measurement that satisfies parametric statistical assumptions for reliable and valid cross‐data comparisons. The psychometric properties of the 20‐item Positive and Negative Affect Schedule (PANAS) are satisfactory, but provide scores on an ordinal scale, which could be unsuitable for parametric ...
Peter Adu
wiley +1 more source
Oral language profiles and associated factors in children after neonatal arterial ischaemic stroke
Developmental Medicine &Child Neurology, Volume 68, Issue 8, Page 1105-1116, August 2026.This original article is commented on by Westmacott on pages 1026‐1027 of this issue. Abstract Aim To characterize language outcomes at age 7 years after neonatal arterial ischaemic stroke (NAIS) and identify language profiles and determinants. Method This prospective longitudinal cohort study included 70 children (44 males) from a French cohort with ...
Laure Drutel +4 more
wiley +1 more source
RUBCA: Detecting Anxiety Levels in Arabic Tweets Using a Rule-Based Classification Approach
IEEE AccessAnxiety detection within social media platforms has become an essential focus in computational mental health due to the prevalence of dialectal ambiguity and orthographic inconsistencies in user-generated Arabic content.
Eithar I. Almujalli, Muna M. Alhammad
doaj +1 more source
Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding [PDF]
PeerJ Computer ScienceCompanies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved.
Dheya Mustafa +3 more
doaj +2 more sources
Health Expectations, Volume 29, Issue 4, August 2026.ABSTRACT Introduction Despite breast cancer disproportionately affecting ethnically diverse populations, these groups remain underrepresented in UK cancer clinical trials, limiting the validity and generalisability of research findings, including treatment efficacy and safety.
Lorraine Turner +4 more
wiley +1 more source
Mind, Brain, and Education, Volume 20, Issue 3, August 2026.ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed +4 more
wiley +1 more source
Validation of the Moroccan dialectal Arabic version of the Barratt Impulsivity Scale, the BIS-11
Middle East Current PsychiatryImpulsivity is at the heart of psychopathologies associated with violence. Forensic psychiatry is particularly concerned about this issue, hence the importance of measuring impulsivity in forensic settings.
Mohammed Ajebli +9 more
doaj +1 more source
Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies
IEEE AccessThe freedom of speech in online spaces has substantially promoted engagement on social media platforms, where cyberbullying has emerged as a significant consequence.
Huda Aljalaoud +2 more
doaj +1 more source
DARTS: Dialectal Arabic Transcription System
CoRR, 2019 We present the speech to text transcription system, called DARTS, for low resource Egyptian Arabic dialect. We analyze the following; transfer learning from high resource broadcast domain to low-resource dialectal domain and semi-supervised learning where we use in-domain unlabeled audio data collected from YouTube.
Sameer Khurana +2 more
openaire +2 more sources