In this study, we examined the longitudinal relations between frequency and features of reading experiences within the preschool classroom to children's language and literacy outcomes in kindergarten and 1st grade. Frequency refers to the number of shared reading sessions conducted each week as measured by teachers' written reading logs recorded across the academic year. Features refers to teachers' extratextual talk about literal, inferential, or print or phonological topics as assessed by analysis of 6 videotaped readings of narrative and informational texts collected across the preschool year. Participants were 28 preschool teachers and 178 children. The children were largely at risk and randomly selected from among those in each classroom to complete longitudinal assessments. In preschool, results showed that the frequency of classroom shared reading was positively and significantly related to children's receptive vocabulary growth, as was the inclusion of extratextual conversations around the text; only extratextual conversations related to children's preschool literacy growth. There was no evidence of differential influences of these experiences for children; that is, the relationship between frequency or features and children's language and literacy development was not moderated by children's initial skill level. Longitudinally, extratextual talk during preschool shared reading remained associated with children's vocabulary skills through kindergarten, with trends toward significance extending to 1st grade literacy skills. The frequency of preschool shared reading was not a significant predictor of longitudinal outcomes.
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Ther Innov Regul Sci
January 2025
Bayer US LLC, Whippany, NJ, USA.
Background: Clinical outcome assessments (COAs) measure how patients feel or function and can be used to understand which patients experience benefits of treatment and which do not. Interpretation of COA data is influenced by how meaningful change is defined. We aimed to compare how different stakeholders define, assess, and use meaningful change for decisions that impact patients.
View Article and Find Full Text PDFNat Cancer
January 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Human tumors are diverse in their natural history and response to treatment, which in part results from genetic and transcriptomic heterogeneity. In clinical practice, single-site needle biopsies are used to sample this diversity, but cancer biomarkers may be confounded by spatiogenomic heterogeneity within individual tumors. Here we investigate clonally expressed genes as a solution to the sampling bias problem by analyzing multiregion whole-exome and RNA sequencing data for 450 tumor regions from 184 patients with lung adenocarcinoma in the TRACERx study.
View Article and Find Full Text PDFFront Artif Intell
December 2024
Department of Medical Education and Clinical Skills, California University of Science and Medicine, Colton, CA, United States.
Introduction: As artificial intelligence systems like large language models (LLM) and natural language processing advance, the need to evaluate their utility within medicine and medical education grows. As medical research publications continue to grow exponentially, AI systems offer valuable opportunities to condense and synthesize information, especially in underrepresented areas such as Sleep Medicine. The present study aims to compare summarization capacity between LLM generated summaries of sleep medicine research article abstracts, to summaries generated by Medical Student (humans) and to evaluate if the research content, and literary readability summarized is retained comparably.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
School of Pharmacy, University of Reading, Whiteknights, Reading RG6 6AJ, UK.
Recent studies, typically using patient cerebrospinal fluid (CSF), have suggested that different autoantibodies (Aabs) acting on their respective receptors, may underlie neuropsychiatric disorders. The GluN1 (NR1) subunit of the N-methyl-D-aspartate receptor (NMDAR) has been identified as a target of anti-NMDAR Aabs in a number of central nervous system (CNS) diseases, including encephalitis and autoimmune epilepsy. However, the role or the nature of Aabs responsible for effects on neuronal excitability and synaptic plasticity is yet to be established fully.
View Article and Find Full Text PDFPathogens
December 2024
Department of Urology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
: Urinary tract infections (UTIs) are among the most prevalent bacterial infections. With many patients turning to the Internet as a health resource, this study seeks to understand public engagement with online resources concerning recurrent UTIs (rUTIs), assess their reliability, and identify common questions/concerns about rUTIs. : Social media analysis tool BuzzSumo was used to calculate online engagement (likes, shares, comments, views) with information on rUTIs.
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