Publications by authors named "A Meftah"

Single layer graphene (SLG) was synthesized via high-quality chemical vapor deposition (CVD) on high-quality copper and subsequently transferred onto SiO2 and on n-GaAs substrates with varying doping electron concentrations (n = 1016, 1017, 5 × 1017, 1018, and 5 × 1018 cm-3). The n-GaAs substrates were grown by molecular beam epitaxy. The optical properties of the SLG were investigated through photoluminescence (PL) and Raman spectroscopy measurements.

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Detecting road cracks is essential for inspecting and assessing the integrity of concrete pavement structures. Traditional image-based methods often require complex preprocessing to extract crack features, making them challenging when dealing with noisy concrete surfaces in diverse real-world scenarios, such as autonomous vehicle road detection. This study introduces an image-based crack detection approach that combines a Random Forest machine learning classifier with a deep convolutional neural network (CNN) to address these challenges.

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Kidney Biopsy (KB) is a crucial diagnostic tool in the field of renal diseases and is routinely performed in nephrology departments. A previous survey conducted by the Société Francophone de Néphrologie Dialyse Transplantation (SFNDT) revealed significant disparities in clinical practices, sometimes conflicting with the existing literature and recently published recommendations. In response, the SFNDT wished to promote the development of best practice guidelines, under the auspices of the French National Authority for Health (HAS), to establish a standardized framework for performing kidney biopsies in France.

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Complex interrelationships may exist among different types of frailty. This study aimed to evaluate the demographic and biological factors that influence the different types of frailty in community-dwelling older adults in Iran through a cross-sectional analysis of data obtained from the Birjand Longitudinal Aging Study. This study is an ongoing cohort study of people aged 60 years and over and employed a multistage stratified cluster random sampling.

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Objectives: To measure the health spillover effect in caregivers of patients with multiple sclerosis (MS), we aimed to select the best instrument from 2 common health-related quality of life (QoL) instruments, the 3-level EQ-5D (EQ-5D-3L) and the Health Utilities Index Mark 3 (HUI-3), by assessing them.

Methods: Using consecutive sampling, 452 primary caregivers of patients with MS were asked to fill out a Care-related QoL instrument (CarerQol-7D), EQ-5D-3L, HUI-3, and the Center for Epidemiologic Studies Depression Scale between October 2019 and May 2020. Convergent and clinical validity were assessed to measure spillover effect in caregivers of patients with MS.

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