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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…</p><p dir="ltr">Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex: Frontiers in Molecular Biosciences: <a href="https://dx.doi.org/10.3389/fmolb.2022.1018464" rel="noreferrer" target="_blank">https://dx.doi.org/10.3389/fmolb.2022.1018464</a>, published online 19 October 2022.…”
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Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex
Published 2022“…<p dir="ltr">Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex: Frontiers in Molecular Biosciences <a href="https://dx.doi.org/10.3389/fmolb.2022.846996" target="_blank">https://dx.doi.org/10.3389/fmolb.2022.846996</a>, published online 22 July 2022.…”
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Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers
Published 2022“…Here, 48 V is doubled to 400 V. By modifying the converter's parameters, its behavior is evaluated. …”
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Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle
Published 2023“…We found both young and aged HSA-mUCP1 mice had decreased advanced glycation endproducts (AGEs) formed from MG, lysine-derived Nε(1-carboxyethyl)lysine (CEL) and arginine-derived hydroimidazolone, MG-H1, whereas protein glycation by glucose forming Nε-fructosyl-lysine (FL) was increased ca. 2-fold, compared to wildtype controls. …”
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Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle
Published 2023“…We found both young and aged HSA-mUCP1 mice had decreased advanced glycation endproducts (AGEs) formed from MG, lysine-derived Nε(1-carboxyethyl)lysine (CEL) and arginine-derived hydroimidazolone, MG-H1, whereas protein glycation by glucose forming Nε-fructosyl-lysine (FL) was increased ca. 2-fold, compared to wildtype controls. …”
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Effect of AlN nanoparticle concentration in the electrolyte on corrosion resistance and mechanical properties of the electrodeposited composite coatings
Published 2024“…Furthermore, the coatings displayed improved mechanical strength, with the Ni-P-0.4 g/L AlN composite coating registering the highest hardness at 660 HV0.025. …”
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Effect of AlN nanoparticle concentration in the electrolyte on corrosion resistance and mechanical properties of the electrodeposited composite coatings
Published 2024“…Furthermore, the coatings displayed improved mechanical strength, with the Ni-P-0.4 g/L AlN composite coating registering the highest hardness at 660 HV0.025. …”
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…However, agricultural areas decreased from 152.13 km<sup>2</sup> (18.5%) in 1980 to 140.38 km<sup>2</sup> (17%) in 2023, while barren lands decreased from 54.44 km<sup>2</sup> (6.6%) in 1980 to 34.71 km<sup>2</sup> (4.22%) in 2023. …”
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Diesel engine vibration analysis using artificial neural networks method: Effect of NH<sub>3</sub> additive in biodiesels
Published 2024“…The ANN models indicated that a 5 % NH<sub>3</sub> additive decreased engine vibration for HD and PD. …”
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Enhanced thermoelectric properties of Bi<sub>2</sub>Te<sub>2.55</sub>Se<sub>0.45</sub> nanocomposites using eco-friendly Eocene Midra Shale palygorskite nanofillers: A sustainable...
Published 2025“…<p dir="ltr">This paper investigates the influence of incorporating Eocene Midra Shale (EMS), consisting of 1D palygorskite and 2D irregular dolomite flakes, on the thermoelectric properties of an n-type Bi<sub>2</sub>Te<sub>2.55</sub>Se<sub>0.45</sub> alloy. …”
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Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling
Published 2024“…Removing these producers from the training dataset led to an 10% decrease in ANN performance, highlighting their importance in capturing the non-linear relationship between permeability and production data.…”
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Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy
Published 2021“…<p dir="ltr">The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus (SARS-CoV-2) began in September 2019 and continued to March 2020. …”
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Mirizzi Syndrome: Mastering the Challenge, Characterization and Management Outcomes in a Retrospective Study of 60 Cases
Published 2024“…Laparoscopic cholecystectomy was the most common surgical approach (76.7%), particularly in type 1 (79.6%), and decreased to 50% in advanced types. Hepaticojejunostomy was more common in the advanced types.…”
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A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
Published 2020“…The results showed a decrease in the MSE of V<sub>mp</sub> by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I<sub>mp</sub> by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …”
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Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension
Published 2023“…The most commonly used antihypertensive medications were labetalol 82% (n= 273/333), magnesium sulphate 21%, (n= 70/333) methyldopa 16.5% (n= 55/333) and nifedipine 14%; (n= 47/333). …”