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Productivity Losses due to Health Problems Arising from COVID-19 Pandemic: A Systematic Review of Population-Level Studies Worldwide.
Appl Health Econ Health Policy
January 2025
Department of Health Economics, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland.
Aim: To systematically review the evidence on productivity losses due to health problems arising from the COVID-19 pandemic based on evidence from population-level studies.
Methods: Following PRISMA statement, we conducted a systematic review using Medline, Embase, Scopus, Web of Science, EconLit, WHO COVID-19 Research and EuropePMC databases and a grey literature search. We included population-level studies using secondary data and qualitatively assessed eligible studies.
An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image.
Sci Rep
January 2025
School of Information Engineering, China University of Geosciences, Beijing, 100083, China.
Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains an NP-hard challenge, as existing swarm intelligence and evolutionary algorithms (SIEAs) often suffer from limited exploration capabilities or susceptibility to local optima, particularly in high-dimensional scenarios. To address these challenges, we propose GWOGA, a novel hybrid algorithm that combines Grey Wolf Optimizer (GWO) and Genetic Algorithm (GA), aiming to achieve an effective balance between exploration and exploitation.
View Article and Find Full Text PDFCreating a national breastfeeding and lactation policy for Canadian surgical residents.
Can Med Educ J
December 2024
Division of Plastic, Reconstructive, and Aesthetic Surgery, University of Toronto, Ontario, Canada.
Background: Despite known benefits of breastfeeding and challenges medical trainees face lactating at work, research specific to Canadian surgical trainees is lacking. Our objectives were to examine existing breastfeeding and lactation policies, query experiences and opinions of surgical trainees and program directors, and propose a comprehensive policy for programs nation-wide.
Methods: A multi-disciplinary team developed this two-part study.
A Probabilistic Modeling Framework for the Prediction of Spontaneous Premature Beats and Reentry Initiation.
Heart Rhythm
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA. Electronic address:
Background: Spontaneously occurring life threatening reentrant arrhythmias result when a propagating premature beat encounters a region with significant dispersion of refractoriness. Although localized structural tissue heterogeneities and prescribed cell functional gradients have been incorporated into computational electrophysiological models, a quantitative framework for the evolution from normal to abnormal behavior that occurs via disease is lacking.
Objective: The purpose of this study was to develop a probabilistic modeling framework that represents the complex interplay of cell function and tissue structure in health and disease which predicts the emergence of premature beats and the initiation of reentry.
Premature Calcification of Costochondral Cartilage: A Scoping Review of the Literature.
Cureus
December 2024
Family Medicine, SingHealth Polyclinics, Singapore, SGP.
Premature costochondral calcification is a rare finding occurring in young patients and is associated with metabolic and endocrinological conditions. Significant heterogeneity exists with regard to its definition and assessment. This scoping review aimed to summarize the prevalence, risk factors, etiology, evaluation, and management of patients with premature costochondral calcification.
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