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Optimization of a Conventional Assay into SYBR Green Real-Time PCR for the Detection of the Nc5 Segment from Neospora caninum.
Acta Parasitol
January 2025
Department of Veterinary Medicine, Federal University of Paraná, Rua Dos Funcionários, 1540, Curitiba, Paraná, 80035-050, Brazil.
Purpose: The aim of the present study was to establish a SYBR Green-based real-time PCR assay for detection of the Nc5 segment from the Neospora caninum genome.
Methods: The oligonucleotides sequences targeting the Nc5 gene previously reported and designed in-house were validated. Two Primer sets were evaluated and tested in four different combinations.
Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer.
Sci Data
January 2025
Department of Anatomy and Anthropology, Faculty of Medical & Health Sciences, Tel- Aviv University, Tel-Aviv, 699780, Israel.
This data descriptor presents a comprehensive and replicable dataset and method for calculating the cervical range of motion (CROM) utilizing quaternion-based orientation analysis from Delsys inertial measurement unit (IMU) sensors. This study was conducted with 14 participants and analyzed 504 cervical movements in the Sagittal, Frontal and Horizontal planes. Validated against a Universal Goniometer and tested for reliability and reproducibility.
View Article and Find Full Text PDFThe Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review.
JMIR Cardio
December 2024
School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Background: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosis impacts the underlying pathophysiology of many cardiovascular diseases by altering structural integrity and impairing electrical conduction. Identifying cardiac fibrosis is essential for the prognosis and management of cardiovascular disease; however, current diagnostic methods face challenges due to invasiveness, cost, and inaccessibility.
View Article and Find Full Text PDFForward-backward translation, content validity, face validity, construct validity, criterion validity, test-retest reliability, and internal consistency of a questionnaire on patient acceptance of orthodontic retainer.
PLoS One
January 2025
Department of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, Universiti Malaya (UM), Kuala Lumpur, Malaysia.
This study aimed to assess the validity and reliability of a questionnaire on patient acceptance of orthodontic retainers. The original questionnaire was forward- and backward-translated, followed by four validity tests (content validity, face validity, construct validity, criterion validity) and two reliability tests (test-retest reliability, internal consistency). Content validity was assessed by nine orthodontists who appraised the questionnaire's representativeness, relevance, clarity, and necessity.
View Article and Find Full Text PDFpyAKI-An open source solution to automated acute kidney injury classification.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
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