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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function
Published 2024“…This is achieved at optimum dilution rates of 0.049 and 1.0 h<sup>−1</sup>, respectively. …”
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Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015)
Published 2016“…In this study, we aim to establish a ruthenium-based model for effectively targeting AML, with the goal of later developing approaches to selectively target AML with complexes based on this model. …”
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Hepatoprotective activity of the wild carrot chloroform-based fraction against CCl4-induced liver toxicity in mice
Published 2014“…Pretreated groups with chloroform-based fraction reduced significantly the serum levels of AST and ALT. …”
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MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN
Published 2023“…The results confirm that both components play significant roles in the effectiveness of MACGAN, with the discriminator ensuring adversarial training and the attention blocks effectively capturing and enhancing important image features.…”
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Embodied learning of science concepts through augmented reality technology
Published 2024“…This study aims to assess the role of embodied cognition in science learning through AR technology, analyze its impact on collaborative, inquiry-based learning in primary science, and understand students' perceptions of its influence on their engagement and comprehension in collaborative science tasks. …”
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Examining engineering students' perceptions of learner agency enactment in problem‐ and project‐based learning using Q methodology
Published 2023“…Q methodology was chosen for both qualitative and quantitative data collection and analysis. A 40-item Q set based on a theoretical model of learner agency was used.…”
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Maternal vaccine hesitancy towards COVID-19 immunisation of children in Qatar: a population-based cross-sectional study
Published 2022“…This exceeded these mothers’ rate of personal vaccine hesitancy (27.5%). Hesitancy rates varied significantly with ethnicity, with the highest among Qatari mothers (51.3%). …”
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A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries
Published 2021“…<p dir="ltr">According to statistics, developing countries all over the world have suffered significant non-technical losses (NTLs) both in natural gas and electricity distribution. …”
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Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems
Published 2022“…FDD of PV systems using machine learning technique aims to develop effective models that can provide a better rate of accuracy. Recently, numerous machine learning based ensemble models have been applied in FDD using different combination techniques. …”
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175
RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments
Published 2024“…Using Reinforcement Learning (RL), our solution optimizes the number of UAVs, device-to-UAV associations, UAV trajectories, RIS phase shifts, and base station power to effectively balance the sum rate and energy consumption. …”
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Safety and efficacy of chimeric antigen receptor T-cell therapy for acute myeloid leukemia: A subgroup based meta-analysis
Published 2024“…<h3>Introduction</h3><p dir="ltr">Acute myeloid leukemia (AML) is a significant hematological malignancy in the United States, with a high mortality rate and limited treatment options. …”
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Sustainable food development for societies in hot arid regions: Thermoeconomic assessment of passive-cooled soil-based and hydroponic greenhouses
Published 2023“…Moreover, heat waves and increasing average ambient temperatures have significantly increased plants' dehydration and death. …”
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
Published 2024“…Pre-copy memory migration is a common LVM approach used in cloud systems, but it faces challenges due to the high rate of frequently updated memory pages known as dirty pages. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…To represent these features numerically, we employed a semantic-based model called BERT instead of the commonly used count-based models. …”
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Impact of global macroeconomic factors on spillovers among Australian sector markets: fresh findings from a wavelet-based analysis
Published 2023“…This study investigates the spillover dynamics among 10 Australian sectoral indices and their connectedness to global factors, including the WTI crude oil price, oil market volatility, Australian exchange rate, U.S. stock market volatility index and Infectious Disease Tracker Index. …”
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