Purpose Speech-language pathologists (SLPs) work with students with specific language impairment and specific learning disorder who are known to have deficits in morphological knowledge and morphological awareness. Thus, it is important that SLPs have explicit knowledge of morphology to classify, elicit, and correct morphological errors to improve these students' morphological knowledge and morphological awareness. The purposes of this clinical focus article are to summarize current evidence about SLPs and other educators' explicit knowledge of language, to identify information that supports explicit knowledge of morphology, and to illustrate the use of explicit knowledge of morphology with a hypothetical case study. Method A case-based demonstration of an SLP's use of his/her explicit knowledge of morphology to analyze a fourth-grade student's production of derivational morphemes in a spoken language sample and on a sentence completion task is presented. Results and Conclusion The SLP's morphological analyses and summarization of the analyses are presented.
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http://dx.doi.org/10.1044/2020_LSHSS-19-00057 | DOI Listing |
Mol Autism
January 2025
Department of Special Education, University of Haifa, Haifa, Israel.
Background: Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited.
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January 2025
Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR 999078, China.
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality retrieval task to match a person across different spectral camera views. Most existing works focus on learning shared feature representations from the final embedding space of advanced networks to alleviate modality differences between visible and infrared images. However, exclusively relying on high-level semantic information from the network's final layers can restrict shared feature representations and overlook the benefits of low-level details.
View Article and Find Full Text PDFJ Eat Disord
January 2025
Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels, Université Laval, 2440, boulevard Hochelaga Québec, Quebec, G1V 0A6, Canada.
Background: Despite being the most prevalent eating disorder, Binge eating disorder (BED) remains largely unrecognized and lacks awareness among the general public, where it is also highly stigmatized. Common stigma surrounding BED includes the belief that individuals with this disorder are responsible for their condition and lack willpower and self-control. Research on BED recognition and stigma among lay adults is scarce.
View Article and Find Full Text PDFAtten Percept Psychophys
January 2025
Department of Psychology, The Ohio State University, 1835 Neil Ave, Columbus, OH, 43210, USA.
Our attention can sometimes be disrupted by salient but irrelevant objects in the environment. This distractor interference can be reduced when distractors appear frequently, allowing us to anticipate their presence. However, it remains unknown whether distractor frequency can be learned implicitly across distinct contexts.
View Article and Find Full Text PDFHealth Res Policy Syst
January 2025
Telfer School of Management, University of Ottawa, 55 Laurier Ave E, Ottawa, ON, K1N 6N5, Canada.
Evidence-based policymaking has increased policymakers' capacity to make scientifically informed health policy decisions. However, reaping the benefits of this approach requires avoiding untrustworthy research - potential sources of which are predatory journals. In this study, we sought to understand how research cited in policy documents is sourced and evaluated, and identify factors that may be contributing to the citation of predatory journals or other less trustworthy evidence.
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