Objective: 59% of Viennese day care children have a first language other than German. Lower proficiency in the second language German might be typical in multilingual settings, but might also be due to language disorder (ICD-10:F80 or comorbid). Diagnostic practise in Austria focuses on second language evaluation. This study describes a group of multilingual children with suspected language impairment at a specialized counselling hour and reflects the role of the first language in language evaluation.
Method: Linguistic evaluation (typically developed, ICD-10:F80, comorbid language disorder) and sociodemographic parameters of 270 children (time period: 2013-2020) are investigated. Linguistic results are reported according to primary diseases. For children without primary disease the relation between the linguistic evaluation and sociodemographic parameters is assessed.
Results: Overall, the children had 37 different first languages (74% were bilingual, 26% multilingual). The percentage of children with typical development and comorbid language development varied according to primary disease. Children without primary disease had higher chances of typical development the older they were at the examination, the earlier they produced first words, and if there was no heredity for ICD-10:F80.
Conclusions: Results suggest that evaluating the children's first language is useful since it contributes to understanding the individual language development at different linguistic levels, despite the heterogeneity of the children, and, thus, allows practitioners to recommend the best possible support.
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http://dx.doi.org/10.1007/s40211-023-00469-w | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Centre for Robotics and Automation, Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Liquid metals are highly conductive like metallic materials and have excellent deformability due to their liquid state, making them rather promising for flexible and stretchable wearable sensors. However, patterning liquid metals on soft substrates has been a challenge due to high surface tension. In this paper, a new method is proposed to overcome the difficulties in fabricating liquid-state strain sensors.
View Article and Find Full Text PDFAutism Res
January 2025
Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Echolalia, the immediate or delayed repetition of speech, is a core diagnostic criterion for autism spectrum disorder. It has been studied for over 50 years and is well-described; however, no consensus on prevalence estimates exists for echolalia's occurrence in autistic youth. The current study sought to (1) describe endorsement of echolalia-related items using parent-, teacher-, and clinician-reports in a well-validated sample of autistic youth and (2) characterize relations between echolalia and other key factors, including age, language ability, and repetitive behaviors.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Anim Front
December 2024
Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53703, USA.
Anim Front
December 2024
Department of Agricultural Economics; Stillwater, Oklahoma State University, OK, USA.
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