Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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Factors associated with baseline smoking self-efficacy among male Qatari residents enrolled in a quit smoking study by Mohammed Al Thani (7487684)

“…Factors associated with self-efficacy were assessed using multiple linear regression analysis. Results showed that after controlling for relevant variables, number of cigarettes smoked (β^ = -0.22; 95% CI: -0.37, -0.06), having at least one quit attempt in the past year (β^ = 2.30; 95% CI: 0.27, 4.35), and reporting a complete home smoking ban (β^ = 3.13; 95% CI: 0.56, 5.70) were significantly associated with higher self-efficacy to quit smoking. …”

A cross-cultural study of high-altitude botanical resources among diverse ethnic groups in Kashmir Himalaya, India by Shiekh Marifatul Haq (8762763)

“…The overall trends between the indicator values and the plant species used by diverse ethnic groups were illustrated using the linear regression model.</p><h3>Results</h3><p dir="ltr">We recorded 46 species belonging to 25 different families used by the local people of the Kashmir Valley belonging to four ethnic groups (Gujjar, Bakarwal, Pahari, and Kashmiri). …”

Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

“…Dense vegetation declined by 35% from 2003 to 2023, while mangroves increased by 6%. A multiple linear regression analysis among the various climatic and anthropogenic factors showed that higher temperature positively affected mangroves and seagrass while having a negative relation to dense vegetation. …”

Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy by Hamed Elgendy (14148846)

Effects of perinatal variables on echocardiographic assessments of left ventricular dimensions in infants born large for gestational age: a prospective cohort analysis by Ahmed Amarah (17733726)

“…Data were analyzed using multivariate linear regression in STATA.</p><h3>Results</h3><p dir="ltr">A total of 563 neonates were enrolled in this study. …”

L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression by Rached, Johnny

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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) by Khaled F. Alkaraki (22051967)

“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”

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

“…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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Modelling the utilization rates of pedestrian crosswalks by Walid Abdullah, Al Bargi

“…The Multiple Linear Regression (MLR) model was also used to determine the utilization rate needed to develop the zebra crossing utilization model. …”
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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)

“…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. </p><h3>Results</h3><p dir="ltr">Data from 21 trial comparisons across 19 studies (n = 911) revealed that, compared to placebo/control, microbiome-modulating therapies were associated with statistically significant changes in fasting <u>plasma glucose</u> (MD: 4.03 mg/dL [95%CI: 6.93; −1.13]; p_effect = 0.006, I² = 89.8 %), and fasting insulin (MD: 2.56 μU/mL [95%CI: 4.28; −0.84]; p_effect = 0.004, I² = 87.9 %), but not insulin resistance or sensitivity indices and <u>HbA1c</u>. …”

Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”

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.</p><h3>Results</h3><p dir="ltr">Data from 68 trial comparisons across 58 studies (n = 3835) revealed that, compared to placebo/control group, administration of pro/pre/synbiotics was associated with statistically significant changes in fasting plasma glucose (−12.41 mg/dl [95% CI: −15.94; −8.88], p 0.0001), glycated hemoglobin (−0.38% [95% CI: −0.47; −0.30], p 0.0001), fasting insulin (−1.49 µU/mL [95% CI: −2.12; −0.86], p 0.0001), HOMA-IR (−0.69 [95% CI: −1.16; −0.23], p = 0.0031) and QUICKI (0.0148 [95% CI: 0.0052; 0.0244], p = 0.0025), but not C-peptide (−0.0144 ng/mL [95% CI: −0.2564; −0.2275], p = 0.9069). …”

Modelling the utilization rates of pedestrian crosswalks by Walid Abdullah Al Bargi (17017764)

“…The Multiple Linear Regression (MLR) model was also used to determine the utilization rate needed to develop the zebra crossing utilization model. …”

Classification of Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

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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. …”

Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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