The Q-technique of factor analysis was used to define subtypes of reading problems in terms of performance on 31 tests of rapid reading skills. Subjects included a group of 34 children with learning problems, language problems, and mental retardation. Three subgroups were identified within each group by the statistical classification procedure. For the reading group, one subgroup was characterized by slow oral word reading, a second by slow auditory-visual letter association, and a third by slow auditory-visual association of words and syllables. The first and second subgroups for the mixed group were essentially the same as the second and third subgroups for the reading group, and the third subgroup was characterized by slow visual matching. These results were compared with those of previous investigators, none of whom used multivariate correlational procedures for classifying reading disabilities. It was concluded that the use of statistical classification techniques would greatly facilitate the achievement of a consensus regarding the number and the types of developmental reading disabilities.
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http://dx.doi.org/10.1016/s0010-9452(77)80037-3 | DOI Listing |
Nat 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 PDFSci Diabetes Self Manag Care
January 2025
Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Purpose: The purpose of the study was to identify the most common reasons for and timing of continuous glucose monitoring (CGM) attrition in youth with type 1 diabetes (T1DM).
Methods: This single center retrospective chart review included youth with T1DM <22 years seen between November 1, 2021, and October 31, 2022. Data were gathered from CGM cloud-based software and the electronic medical record.
Alzheimers Dement
December 2024
University of Florida, Gainesville, FL, USA.
Introduction: Colonoscopies are routine procedures performed primarily on adults over the age of 50; however, there is little known about the influence of social determinants of health on successful completion of colonoscopies. Inadequate at-home bowel preparation can result in increased procedure duration, decreased cancer detection, and may necessitate a repeated colonoscopy, putting undue stress on the patient. Research suggests neurocognitive disorder is a risk factor for poor bowel preparation in older adults; however, lower education may confound neurocognitive findings, independently contributing to risk of incomplete colonoscopies.
View Article and Find Full Text PDFNAR Genom Bioinform
March 2025
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Evaluating the accuracy of protein-coding sequences in genome annotations is a challenging problem for which there is no broadly applicable solution. In this manuscript, we introduce PSAURON (Protein Sequence Assessment Using a Reference ORF Network), a novel software tool developed to help assess the quality of protein-coding gene annotations. Utilizing a machine learning model trained on a diverse dataset from over 1000 plant and animal genomes, PSAURON assigns a score to coding DNA or protein sequence that reflects the likelihood that the sequence is a genuine protein-coding region.
View Article and Find Full Text PDFF S Rep
December 2024
Ferring Pharmaceuticals Inc., Parsippany, New Jersey.
Objective: To evaluate the current utilization of advanced practice providers (APPs) within the field of reproductive endocrinology and infertility.
Design: Cross-sectional.
Setting: Web-based.
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