This study aimed to discover whether general receptive vocabulary is qualitatively phenotypical in Down syndrome. Sixty-two participants with Down syndrome (M age=16.74 years, SD=3.28) were individually matched on general vocabulary raw total score with 62 participants with intellectual disability of undifferentiated etiology (M age=16.20 years, SD=3.08) and 62 typical children (M age=5.32 years, SD=0.82). Item analyses using the transformed item difficulties method to detect differential item functioning across groups showed that the groups' rank orders of item difficulty were highly similar. It was concluded that the general receptive vocabulary of older children and adolescents with Down syndrome is not qualitatively distinguished when its overall size is held constant. Methodological and theoretical implications of this finding are discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1352/1944-7558-117.3.243 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Generative adversarial networks with texture recovery and physical constraints for remote sensing image dehazing.
Sci Rep
December 2024
College of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China.
The scattering of tiny particles in the atmosphere causes a haze effect on remote sensing images captured by satellites and similar devices, significantly disrupting subsequent image recognition and classification. A generative adversarial network named TRPC-GAN with texture recovery and physical constraints is proposed to mitigate this impact. This network not only effectively removes haze but also better preserves the texture information of the original remote sensing image, thereby enhancing the visual quality of the dehazed image.
View Article and Find Full Text PDFCase report: Receptive labeling training in autism: conventional vs. technology-based approaches? a single case study.
Front Psychiatry
December 2024
Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Background: Receptive language, the ability to comprehend and respond to spoken language, poses significant challenges for individuals with Autism Spectrum Disorder (ASD). To support communication in autistic children, interventions like Lovaas' simple-conditional method and Green's conditional-only method are commonly employed. Personalized approaches are essential due to the spectrum nature of autism.
View Article and Find Full Text PDFIncorporating Physical Activity in a New Two-Oscillator Model of Circadian Activity in Nocturnal and Diurnal Mammals.
J Biol Rhythms
December 2024
Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands.
In both diurnal and nocturnal species, the neurons in the suprachiasmatic nucleus (SCN) generate a daily pattern in which the impulse frequency peaks at midday and is lowest during the night. This pattern, common to both day-active and night-active species, has led to the long-standing notion that their functional difference relies merely on a sign reversal in SCN output. However, recent evidence shows that the response of the SCN to the animal's physical activity is opposite in nocturnal and diurnal animals.
View Article and Find Full Text PDFIowa Brain-Behavior Modeling Toolkit: An Open-Source MATLAB Tool for Inferential and Predictive Modeling of Imaging-Behavior and Lesion-Deficit Relationships.
Hum Brain Mapp
December 2024
Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
The traditional analytical framework taken by neuroimaging studies in general, and lesion-behavior studies in particular, has been inferential in nature and has focused on identifying and interpreting statistically significant effects within the sample under study. While this framework is well-suited for hypothesis testing approaches, achieving the modern goal of precision medicine requires a different framework that is predictive in nature and that focuses on maximizing the predictive power of models and evaluating their ability to generalize beyond the data that were used to train them. However, few tools exist to support the development and evaluation of predictive models in the context of neuroimaging or lesion-behavior research, creating an obstacle to the widespread adoption of predictive modeling approaches in the field.
View Article and Find Full Text PDFAdaptive cascade decoders for segmenting challenging regions in medical images.
Comput Biol Med
December 2024
Aerospace Hi-tech Holding Group Co., LTD, Harbin, Heilongjiang, 150060, China.
CNN-based techniques have achieved impressive outcomes in medical image segmentation but struggle to capture long-term dependencies between pixels. The Transformer, with its strong feature extraction and representation learning abilities, performs exceptionally well within the domain of medical image partitioning. However, there are still shortcomings in bridging local to global connections, resulting in occasional loss of positional information.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!