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Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset
Published 2021“…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. Our strategy may significantly accelerate the large-scale deployment of photocatalysts as a promising route to mitigate fomite transmission of pathogens (bacteria, viruses, fungi) in hospital settings and public places.…”
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An effectuation and causation perspective on the role of design thinking practices and digital capabilities in platform-based ventures
Published 2023“…Previous studies have revealed that although high-tech new ventures possess cutting-edge technology, they face significant challenges because of vital resource constraints and limited management capability. …”
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Effects and Perceptions of Game-Based Formative Assessment on Vocabulary Acquisition in EFL Primary Classrooms in the UAE
Published 2023“…Furthermore, the interviews conducted with EFL teachers confirmed a consensus among them regarding the positive effect of Quizlet on vocabulary learning. Limitations and recommendations were addressed based on the main results of this research.…”
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Queuing-Based Optimization of EV Charging Stations: A Case Study of Manama City, Bahrain
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Characterizing the dynamics of climate and native desert plants in Qatar
Published 2024“…<p>This study aims to measure changes in climatic factors and their relationship to vegetation growth in Qatar to develop a plant-climate characterization for native desert plants. …”
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Reduced Voltage Stress and Spikes in Source Current of 7-Level Switched-Capacitor Based Multilevel Inverter
Published 2023“…Further, the charging and discharging action of the switched capacitors, lead to the production of spikes having a large magnitude in source current and charging currents supplied to switched capacitors. Due to this limitation, the SC-based Multilevel Inverter (SC-MLI) cannot be used for high-power applications. …”
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images
Published 2024“…The aim of this study is to enhance diabetes diagnosis accuracy by developing an improved predictive model using retinal images from the Qatari population, addressing the limitations of current diagnostic methods. This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”
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Dynamic Properties of Water Confined in Graphene-Based Membrane: A Classical Molecular Dynamics Simulation Study
Published 2019“…We believe that our simulation results would be a significant contribution for designing a new graphene-based membrane for desalination.…”
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A promising CO<sub>2</sub> methanation catalyst system based on modified halloysites as supports
Published 2025“…Halloysite nanotubes (HNTs)-based catalysts have attracted significant attention in various catalytic applications. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals
Published 2025“…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …”
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Eco-friendly paper-based colorimetric sensor for portable and rapid detection of lead (II) ions in aqueous environment
Published 2025“…<p dir="ltr">Lead contamination in water bodies poses significant environmental and health risks, necessitating effective detection methods. …”
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Antiamoebic activity of plant‑based natural products and their conjugated silver nanoparticles against Acanthamoeba castellanii (ATCC 50492)
Published 2020“…The current options to treat Acanthamoeba infections have limited success. Silver nanoparticles show antimicrobial effects and enhance the efficacy of their payload at the specific biological targets. …”
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