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A qualitative exploration of the early adoption of an electronic medical record system for type 1 diabetes management in Rwanda.
Digit Health
January 2025
Department of Digital Health Solutions, World Diabetes Foundation, Bagsvaerd, Denmark.
Background: Delivering adequate quality care remains a challenge in many low-and middle-income countries (LMICs), especially for people living with type 1 diabetes (T1D), requiring a complex treatment regimen. Digital health solutions, including electronic medical record (EMR) systems, have shown potential to improve delivery and quality of care but still require a successful implementation.
Objective: To analyze the adoption of a newly implemented EMR system in Rwanda from the perspectives of individuals with T1D, health care providers, and experts.
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities.
Artif Intell Med
December 2024
Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran. Electronic address:
Modeling Optical Coherence Tomography (OCT) images is crucial for numerous image processing applications and aids ophthalmologists in the early detection of macular abnormalities. Sparse representation-based models, particularly dictionary learning (DL), play a pivotal role in image modeling. Traditional DL methods often transform higher-order tensors into vectors and then aggregate them into a matrix, which overlooks the inherent multi-dimensional structure of the data.
View Article and Find Full Text PDFRapid review to inform the selection of a set of brief set of universal indicators for use in large-scale cross-national ageism research.
Aging Ment Health
January 2025
Department of Psychology, University of Edinburgh, Edinburgh, UK.
Objectives: Ageism occurs across the world, with negative consequences for individuals and societies. In 2016, WHO received a mandate from its Member States to lead the global campaign to combat ageism. To monitor, evaluate, and build evidence for reducing ageism, the availability of a brief, reliable and valid set of indicators of ageism experiences that can be used globally is essential.
View Article and Find Full Text PDFInfluence of Different Mixing Methods for Cementitious Capillary Crystalline Waterproofing Materials on the Self-Healing Capacity of Concrete Under Various Damage Types.
Materials (Basel)
January 2025
Suzhou Guardex New Material Technology Co., Ltd., Suzhou 210500, China.
Cementitious Capillary Crystallization Waterproofing Material (CCCW), as an efficient self-healing agent, can effectively repair damage in concrete structures, thereby extending their service life. To address the various types of damage encountered in practical engineering applications, this study investigates the impact of different mixing methods for CCCW (including internal mixing, curing, and post-crack repair) on the multi-dimensional self-healing performance of concrete. The self-healing capacity of concrete was evaluated through water pressure damage self-healing tests, freeze-thaw damage self-healing tests, mechanical load damage self-healing tests, and crack damage self-healing tests.
View Article and Find Full Text PDFData analysis protocol for early autonomic dysfunction characterization after severe traumatic brain injury.
Front Neurol
December 2024
Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States.
Background: Traumatic brain injury (TBI) disrupts normal brain tissue and functions, leading to high mortality and disability. Severe TBI (sTBI) causes prolonged cognitive, functional, and multi-organ dysfunction. Dysfunction of the autonomic nervous system (ANS) after sTBI can induce abnormalities in multiple organ systems, contributing to cardiovascular dysregulation and increased mortality.
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