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The measurement of microplastics in surface water and their impact on histopathological structures in wading birds of district Lahore.
Front Toxicol
January 2025
Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Plastics are globally considered a significant threat, particularly to metropolitan areas, due to the extensive use of plastic products. This research is the first of its kind to document microplastics contamination and its effects on Red wettled lapwing (Vanellus indicus). The concentration of microplastics (MPs) was measured from surface water at different locations including canals and drains, which are the primary sources of MPs pollution in the metropolitan city Lahore, Pakistan.
View Article and Find Full Text PDFEffectiveness of Treating Vertical Maxillary Excess Among Non-growing Adult Patients With Skeletal Anchorage System: A Systematic Review and Meta-Analysis of Case Reports From 2008 to 2023.
Cureus
December 2024
Orthodontics and Dentofacial Orthopaedics, Kalinga Institute of Dental Sciences, Bhubaneswar, IND.
Vertical maxillary excess presents a complex challenge in orthodontic treatment, necessitating effective anchorage systems for optimal correction. This research is useful to assess the skeletal anchorage system's (SAS) effectiveness in correcting the vertical maxillary excess among adult patients presenting with gummy smiles. This study includes case reports with English full text and examines the global general adult (18+) human population with vertical maxillary excess (VME).
View Article and Find Full Text PDFA Comparison of the Performance of Six Surrogacy Models, Including Weighted Linear Regression, Meta-regression, and Bivariate Meta-Analysis.
Value Health
January 2025
RTI Health Solutions, Manchester, UK. Electronic address:
Objectives: Several trial-level surrogate methods have been proposed in the literature. However, often only one method is presented in practice. By plotting trial-level associations between surrogate and final outcomes with prediction intervals and by presenting results from cross-validation procedures, this research demonstrates the value of comparing a range of model predictions.
View Article and Find Full Text PDFDiagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design.
JMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
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