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  1. 1

    Investigating the Effect of Patient-Related Factors on Computed Tomography Radiation Dose Using Regression and Correlation Analysis by AlShurbaji, Mohammad

    Published 2024
    “…Moreover, the study investigated the correlation between the different CT dose indices. Using linear regression models and Pearson correlation, the study found that all CT dose indices correlate with BMI and weight in all CT exams with varying degrees as opposed to age, which did not demonstrate any significant correlation with any of the CT dose indices across all CT exams. …”
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    The effect of microbiome-modulating therapeutics on glucose homeostasis in metabolic syndrome: A systematic review, meta-analysis, and meta-regression of clinical trials by Ridhima Kaul (12485902)

    Published 2024
    “…We pooled data using random effects meta-analyses, reporting them as mean differences (MDs) with 95 % confidence intervals (CIs), and conducting univariate linear model meta-regressions. …”
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    Interpretable scientific discovery with symbolic regression: a review by Nour Makke (19160749)

    Published 2024
    “…In this survey, we present a structured and comprehensive overview of symbolic regression methods, review the adoption of these methods for model discovery in various areas, and assess their effectiveness. …”
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    The effect of microbiome-modulating probiotics, prebiotics and synbiotics on glucose homeostasis in type 2 diabetes: A systematic review, meta-analysis, and meta-regression of clin... by Pradipta Paul (12628162)

    Published 2022
    “…Data was pooled using random effects meta-analyses and reported as mean differences with 95% confidence intervals (CIs), followed by univariate linear model meta-regression.…”
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    Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

    Published 2024
    “…<p dir="ltr">Accelerated brain aging and abnormalities are associated with variations in brain patterns. Effective and reliable assessment methods are required to accurately classify and estimate brain age. …”
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    Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach by Majedeh Gheytanzadeh (17541927)

    Published 2022
    “…<p dir="ltr">Hydrogen is a promising alternative energy source due to its significantly high energy density. Also, hydrogen can be transformed into electricity in energy systems such as fuel cells. …”
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    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. …”
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  12. 12

    The epidemiology of hepatitis C virus in Central Asia: Systematic review, meta-analyses, and meta-regression analyses by Welathanthrige S. P. Botheju (18618643)

    Published 2019
    “…Meta-analyses were performed using DerSimonian-Laird random-effects models with inverse variance weighting. Random-effects meta-regression analyses were performed on general population studies. …”
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    Digital Marketing’s Effect on Middle East and North Africa (MENA) Banks’ Success: Unleashing the Economic Potential of the Internet by Robert Gharios (21393863)

    Published 2024
    “…The research examines the impact of digital marketing techniques on the effectiveness of financial institutions through Tobit regression analysis, taking into account and controlling for sustainable practices (ESG), bank-specific characteristics (capital adequacy, bank size, liquidity, and cost efficiency), and macroeconomic variables (GDP and inflation). …”
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    Herpes simplex virus type 1 epidemiology in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions by Sonia Chaabane (3574202)

    Published 2019
    “…Random-effects meta-regressions were conducted to identify predictors of higher seroprevalence. …”
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    Modelling the utilization rates of pedestrian crosswalks by Walid Abdullah, Al Bargi

    Published 2023
    “…The result also showed that, out of all the variables which were used, only three have a significant effect on the utilization rates of pedestrian zebra crossing while the remaining variables have an insignificant effect. …”
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    Microbiome‐modulating nutraceuticals ameliorate dyslipidemia in type 2 diabetes: A systematic review, meta‐analysis, and meta‐regression of clinical trials by Ridhima Kaul (12485902)

    Published 2023
    “…</p><h3>Methods</h3><p dir="ltr">We conducted a systematic review, meta‐analysis, and meta‐regression following searches in major scientific databases for clinical trials investigating the effect of pro/pre/synbiotics on lipid profile published until April 2022. …”
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    Improving the Performance Measurement Using Overall Equipment Effectiveness (OEE) in Borouge by ALMUTAWA, MUBARAK

    Published 2023
    “…The main issue found relating to the two extruder production lines productivity was where availability and quality show a significant decrease. Thus, data were collected for 12 months from the two extruders and analysed using Microsoft Excel Software to determine the value of the output table and presented graphically. …”
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    The Influence of Kanban Project Management Methodology Success Factors on Data Science Project Teams by AHMED, ARWA

    Published 2022
    “…The study produced a significant premise. This suggests that the target population may not have the necessary knowledge and experience to effectively benefit from the Kanban project management techniques. …”
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    Swimming exercise improves short‐ and long‐term memories: Time‐course changes by Mahmoud A. Alomari (14780446)

    Published 2021
    “…On the other hand, swimming exercise-induced significant enhancement to the learning phase and memory formation after 7 days of training (p < 0.01). …”