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Harnessing the Influence of Pressure and Nutrients on Biological CO<sub>2</sub> Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Approaches
Published 2025-01-01“…Using a face-centered composite design, batch mode experiments were conducted to optimize methane production. Response Surface Methodology (RSM) and Artificial Neural Network (ANN)—Genetic Algorithm (GA) approaches were employed to model and optimize the process. …”
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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases
Published 2025-03-01“…Our analysis also includes established methodologies which have shown success in prior UK Biobank-related studies. …”
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Development of a Novel, Sensitive, Selective, and Fast Methodology to Determine Malondialdehyde in Leaves of Melon Plants by Ultra-High-Performance Liquid Chromatography-Tandem Mass Spectrometry
Published 2017-01-01“…The detection and quantitation limits were 0.02 μg·L−1 and 0.08 μg·L−1, respectively, which was demonstrated to be better than the methodologies currently reported in the literature. The accuracy values were between 96% and 104%. …”
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Formation and development of the language training methodology for foreign students at classical university....
Published 2024-05-01“…This article continues a series of scientific research focusing on the stages of formation and development of the methodology of language training of foreign higher education students. …”
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Modeling of CO2 solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network
Published 2025-01-01“…Abstract In this study, Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) were developed to estimate the equilibrium solubility and partial pressure of CO2 in blended aqueous solutions of diisopropanolamine (DIPA) and 2-amino-2-methylpropanol (AMP). …”
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Chemical Vapour Deposition of MWCNT on Silica Coated Fe3O4 and Use of Response Surface Methodology for Optimizing the Extraction of Organophosphorus Pesticides from Water
Published 2019-01-01“…The factors influencing the extraction efficiency such as pH, contact time, and adsorbent dosage were investigated and optimized by response surface methodology (RSM) and desirability function. Linear response was obtained in the concentration range of 10–200 μg/L for the analytes with determination coefficients ranging between 0.9955 and 0.9977. …”
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Patient and family engagement in infection prevention in the context of the COVID-19 pandemic: defining a consensus framework using the Q methodology – NOSO-COVID study protocol
Published 2022-07-01“…The study is based on Q methodology that takes advantage of both quantitative and qualitative methods to identify the consensus among the various stakeholders. …”
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Optimization of mechanical and impact resistance of high strength glass fiber reinforced alkali activated concrete containing silica fume: An experimental and response surface methodology approach
Published 2025-07-01“…After these experimental tests, Response surface methodology (RSM) was employed to systematically analyze the data and determine the optimal mix design. …”
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Optimization of Aeration and Agitation Rate for Lipid and Gamma Linolenic Acid Production by Cunninghamella bainieri 2A1 in Submerged Fermentation Using Response Surface Methodology
Published 2014-01-01“…The optimization was carried out using response surface methodology based on a central composite design. A statistical model, second-order polynomial model, was adjusted to the experimental data to evaluate the effect of key operating variables, including aeration rate and agitation speed on lipid production. …”
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METHODOLOGY FOR DATA COLLECTION IN SIMULATED IRRADIATIONS USING MONTE CARLO TECHNIQUES ON DICOM IMAGES FOR X-RAY FLUORESCENCE EMISSIONS LOCALIZATION IN HIGH ATOMIC NUMBER MATERIALS
Published 2024-12-01“…This methodology emerges as a promising tool for obtaining functional information in complex biomedical environments.…”
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RESULTS OF EXPERIMENTAL RESEARCH COMPARING THE EFFICIENCY OF MARINE SAMPLERS IN RESEARCHING THE CONTENT OF MICROPLASTIC IN BOTTOM SEDIMENTS
Published 2024-11-01Subjects: Get full text
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