Interpretable scientific discovery with symbolic regression: a review by Nour Makke (19160749)

“…<p dir="ltr">Symbolic regression is emerging as a promising machine learning method for learning succinct underlying interpretable mathematical expressions directly from data. …”

A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption by Azadeh, Ali

“…This study aims to introduce a flexible genetic algorithm-fuzzy regression approach for forecasting the future bitumen consumption. …”
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Evaluating the accuracy of population-specific versus generic stature estimation regression equations in a South African sample by Mubarak Bidmos (20278128)

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. …”

Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

“…Subsequently, we propose a novel regularization method [boosted factor (BF)], two dRVFLs variants [edRVFL with skip connection (edRVFL-SC) and edRVFL with random skip connections (edRVFL-RSC)] and one strategy [ensemble skip connection edRVFL (esc-edRVFL)] which show significant improvement over the original dRVFL. …”

Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”

Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis by Md Arifuzzaman (11471123)

“…Asphalt samples were aged in the laboratory by simulating the field conditions, and then adhesive properties were evaluated by different tips of atomic force microscopy (AFM) following the existing functional group in asphalt. Finally, a predictive modelling and machine learning technique called the classification and regression tree (CART) was used to predict the adhesive properties of modified asphalt subjected to oxidation. …”

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

“…Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”

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

“…</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. …”

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>. …”

Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”

Vocal Changes in Patients With Polycystic Ovary Syndrome by Hannoun, Antoine

“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics by Nour Makke (19160749)

“…We introduce a groundbreaking application of SR on actual experimental data with an unknown underlying model, representing a significant departure from previous applications, which are primarily limited to simulated data. …”

Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach by Majedeh Gheytanzadeh (17541927)

“…<p dir="ltr">Hydrogen is a promising alternative energy source due to its significantly high energy density. …”

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

“…Moreover, it was found that using multiple regression models where multiple input variables are considered resulted in a higher correlation with the output variables than when simple regression was used. …”
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Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases by Kesmodel, Susan

“…Patients and Methods Two subgroups of patients who received neoadjuvant CTX + BV (n = 81) or CTX alone (n = 44) were identified from a database of patients who underwent surgery for CRC liver metastases. …”
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The epidemiology of hepatitis C virus in Central Asia: Systematic review, meta-analyses, and meta-regression analyses by Welathanthrige S. P. Botheju (18618643)

“…Evidence was found for statistically-significant differences in prevalence by country, but not for a temporal decline in prevalence. …”

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)

“…</p><h3>Methods</h3><p dir="ltr">A systematic review, meta-analyses and meta-regressions were conducted to investigate the effect of probiotics, prebiotics, and synbiotics on various biomarkers of glucose homeostasis based on a multi-database search of clinical trials published through April 10, 2022. …”

Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country by Muhammad Abdullah (3357692)