Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. …”

Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

“…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …”

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

“…Random-effects meta-regression analyses were performed on general population studies. …”

Prevalence and clinical significance of antiphospholipid antibodies in patients with coronavirus disease 2019 admitted to intensive care units: a prospective observational study by Mostafa Najim (14150400)

“…Although the presence of antiphospholipid antibodies (aPLs) has been proposed as a possible mechanism of COVID-19-induced coagulopathy, its clinical significance remains uncertain. Therefore, this study aimed to evaluate the prevalence and clinical significance of aPLs among critically ill patients with COVID-19. …”

Herpes simplex virus type 1 epidemiology in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions by Sonia Chaabane (3574202)

“…Random-effects meta-analyses were implemented to estimate pooled mean HSV-1 seroprevalence. Random-effects meta-regressions were conducted to identify predictors of higher seroprevalence. …”

Microbiome‐modulating nutraceuticals ameliorate dyslipidemia in type 2 diabetes: A systematic review, meta‐analysis, and meta‐regression of clinical trials by Ridhima Kaul (12485902)

“…Data were pooled using random‐effects meta‐analysis and reported as mean differences with 95% confidence intervals (CIs). …”

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)

“…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. …”

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)

“…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.…”

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

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Modeling of photovoltaic soiling loss as a function of environmental variables by Wasim Javed (6105866)

“…The ANN model performed significantly better in predicting daily ΔCIas well as cumulative CI than the linear model in term of R2 values and statistical error indexes. …”

Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

“…The ANN model outperforms other regression models, such as a linear regression model, M5P decision tree and gaussian process regression (GPR) model. …”

A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making by Sachin Jain (19161721)

“…Long-term monthly maps of daily total solar radiation have been produced which consist of 12 monthly maps for global horizontal irradiance (GHI) and 12 monthly maps for direct normal irradiance (DNI) for each month of the year. A significant improvement of 9.15% and 9.32% in GHI and DNI estimation has been observed after calibration, which brings down the Normalized Root Mean Square Error (NRMSE) to 4% and 11.70% for GHI and DNI respectively as compared to the non-calibrated satellite data estimation.…”

The impact of board gender diversity on the Gulf Cooperation Council’s reporting on sustainable development goals by Saeed Alshaiba (21401030)

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

“…Among the studied ML models, the xgBoost model is the most accurate model with the highest coefficient of determination (R2 = 99.3%) and least root mean square (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). …”

Comparison of Health-Promoting Behaviors of Nursing Students From Different Racial/Ethnic Groups by Davis, Beena

“…The difference in the mean self-efficacy scores between Black people and Asian Americans also was statistically significant (F [4, 861] = 4.41, p = .002). …”
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning by Zeinab, Samira Jihad

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Nursing Perception Towards Impact of JCI Accreditation and Quality of Care in a Tertiary Care Hospital, Central Saudi Arabia by Abolfotouh, Mostafa A.

“…Descriptive and analytic statistics were applied. Logistic regression analysis was conducted to identify the significant predictors of nurses‟ perception to accreditation and QHC. …”
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Influenza vaccine hesitancy and its determinants among Lebanese public transportation drivers by Salam, Mahmoud

“…Descriptive and bivariate statistical analyses, followed by ordinal and linear regression analyses are performed. Statistical significance is set at P < 0.025 (two sided). …”
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Formation of Bromate in Pet Bottle Water by Sharif, Haifa

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Intraocular pressure trends following intravitreal injections of anti-VEGF agents for diabetic macular edema by Al-Abdullah, Abdulelah

“…The majority of eyes (13/17 eyes [76%]) showedan IOP elevation above 20% from baseline, ranging from 16 to 32 mmHg (mean 22.41). Although there was no significant difference in the baseline IOPs betweenthe IOP rise group (mean 15.76 ; SD=3.18) vs. the rest of the eyes (mean 17.34 (SD= 3.48), p: 0.071), final IOP was significantly higher in the IOP rise group (mean 18.65 vs.16.81, p 0.047). …”
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