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http://dx.doi.org/10.1016/j.annemergmed.2023.06.022 | DOI Listing |
Folia Phoniatr Logop
September 2025
Introduction There is no definitive, comprehensive guide for diagnosing stuttering in multilingual speakers, and research suggests that monolingual-based diagnostic criteria may lead to misidentification in this population. This systematic review aimed to identify and consolidate conventional diagnostic guidelines for multilingual speakers and evaluate their validity in light of empirical evidence on stuttering and multilingualism. Method A systematic review was conducted using PubMed, Science Direct, SAGE, CINAHL, and Google Scholar using specific MESH terms (e.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000 China.
Leveraging natural language processing to identify anxiety states from social media has been widely studied. However, existing research lacks deep user-level semantic modeling and effective anxiety feature extraction. Additionally, the absence of clinical domain knowledge in current models limits their interpretability and medical relevance.
View Article and Find Full Text PDFS Afr J Commun Disord
August 2025
Department of Speech Pathology and Audiology, Faculty of Humanities, University of the Witwatersrand, Johannesburg, South Africa; and Department of Rehabilitative and Natural Sciences, Faculty of Health Sciences, University of Fort Hare, East London.
Background: The people of the Pedi culture place great value on, and take pride in, adhering to their culture, as reflected in the manner in which they communicate verbally and non-verbally. However, little is documented about the ways in which verbal and non-verbal language is used socially by the younger generations in the Pedi culture.
Objectives: This article examines how verbal and non-verbal social language skills and functions are used by the younger generations in Pedi families.
Brain Behav
September 2025
Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
Purpose: Depression among college students is a growing concern that negatively affects academic performance, emotional well-being, and career planning. Existing diagnostic methods are often slow, subjective, and inaccessible, underscoring the need for automated systems that can detect depressive symptoms through digital behavior, particularly on social media platforms.
Method: This study proposes a novel natural language processing (NLP) framework that combines a RoBERTa-based Transformer with gated recurrent unit (GRU) layers and multimodal embeddings.