Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Estimating correlations in low-reliability settings with constrained hierarchical models.
Behav Res Methods
January 2025
Department of Cognitive Sciences, University of California, 92697, Irvine, CA, USA.
It is popular to study individual differences in cognition with experimental tasks, and the main goal of such approaches is to analyze the pattern of correlations across a battery of tasks and measures. One difficulty is that experimental tasks are often low in reliability as effects are small relative to trial-by-trial variability. Consequently, it remains difficult to accurately estimate correlations.
View Article and Find Full Text PDFA reproducible representation of healthy tibiofemoral kinematics during stair descent using REFRAME - part I: REFRAME foundations and validation.
Sci Rep
January 2025
Research and Development, Aesculap AG, Tuttlingen, Germany.
In clinical movement biomechanics, kinematic measurements are collected to characterise the motion of articulating joints and investigate how different factors influence movement patterns. Representative time-series signals are calculated to encapsulate (complex and multidimensional) kinematic datasets succinctly. Exacerbated by numerous difficulties to consistently define joint coordinate frames, the influence of local frame orientation and position on the characteristics of the resultant kinematic signals has been previously proven to be a major limitation.
View Article and Find Full Text PDFThree-dimensional convolutional neural network for leak detection and localization in smart water distribution systems.
Water Res X
December 2024
Professor, Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ 85721, USA.
Smart meters such as advanced metering infrastructure (AMI) can significantly improve identifying realistic sized leaks in water distribution networks (WDNs). However, to date, detection/localization methods for AMI systems are extremely limited. In this study, to examine the benefits of using AMIs for leak detection within distribution network, a three-dimensional (3D) convolutional neural network (CNN) deep learning (DL) model is proposed that can account for temporally and spatially distributed information of pressures.
View Article and Find Full Text PDFRethinking speech sound disorder (SSD) in non-syndromic cleft lip and palate: The importance of recognizing phonological and language difficulties.
Int J Lang Commun Disord
January 2025
School of Education, Communication and Language Sciences, Newcastle University, Newcastle upon Tyne, UK.
Background: Children born with cleft palate ± lip (CP ± L) are at risk of speech sound disorder (SSD). Up to 40% continue to have SSD at age 5-6 years. These difficulties are typically described as articulatory in nature and often include cleft speech characteristics (CSC) hypothesized to result from structural differences.
View Article and Find Full Text PDFA preventable medical error: Successful management of iatrogenic Zenker's diverticulum perforation.
Int J Surg Case Rep
January 2025
Department of Thoracic Surgery, Damascus Hospital,Damascus, Syria.
Introduction And Significance: Zenker's diverticulum is a rare condition characterized by a false diverticulum, as a true diverticulum involves herniation of all wall layers outward. Dysphagia, difficulty in swallowing, is the most common symptom. Diagnosis is primarily made through X-ray studies using contrast material during swallowing.
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!