Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

Scatter plots of the linear regression for the relationship between the duration of the vegetative phase and the average mass of single inflorescences. by Torsten Schober (20485754)

Serum metabolomic response to aging. by Gwangho Yoon (5771678)

“…<b>(B)</b> Metabolites that decreased with aging. Statistical significance is indicated in the heatmap with asterisks. …”

Various stereological parameters characterizing lung parenchyma and AEII before, during and after alveolarization as well as in adults. by Julia Hüttmann (22656283)

“…PLoS One. 2024 Mar 14;19(3):e029. b) The total number of alveolar epithelial cells type II (N(AEII, lung)) shows a significant increase after the end of bulk alveolarization and in adults compared to 3 days old rats. c) During alveolarization the number of AEII per mm² alveolar surface (N(AEII, lung)/S(alveoli, lung)) decreases continuously reaching the significant lowest values in adults. d) The number of AEII related to lung volume decreases continuously during alveolarization. …”

Effects of Ni²⁺ on mitochondrial (A), glycolytic (B), and total (C) ATP production rates in BMDM. by Jesse Corbin (21736578)

“…A double dagger (‡) indicates a significant decrease of mitochondrial ATP production rates (slope = −0.79 ± 0.21, <i>R</i>^<i>2</i> = 0.40, <i>F</i>(1, 22)=15.0, <i>p </i>< 0.001) from 0 to 72 ppm Ni²⁺. …”

Δ<i>guaA,</i> a mutant that lacks a cytochrome P450 monooxygenase, does not grow on guaiacol. by Claudia Castro (585495)

“…</i> Wildtype (solid black line) showed growth (OD_{600 nm}) and guaiacol degradation (blue line) beginning 24 hours post-incubation. Meanwhile, Δ<i><i>guaA</i></i> (dashed black line) never demonstrated an increase in OD_{600 nm} or significant guaiacol decrease (<i><i>n</i> </i>= 12)<i>.…”

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

“…</p><p dir="ltr"><b>Results:</b> Significant differences between 15;0–17;11 versus younger age children and a significant correlation between age and CPP were observed. …”

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope by Elena Kriukova (21524544)

“…In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. …”

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope by Elena Kriukova (21524544)

“…In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. …”

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope by Elena Kriukova (21524544)

“…In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. …”

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope by Elena Kriukova (21524544)

“…In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. …”

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope by Elena Kriukova (21524544)

“…In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. …”

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope by Elena Kriukova (21524544)

“…In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. …”

Hydrogen bond interactions between Capivasertib (red) and the AKT2 protein (blue) as predicted by molecular docking analyses. by Sadia Afrin Runa (22504971)

Hydrogen bond interactions between Ipatasertib (red) and the AKT2 protein (blue) as predicted by molecular docking analyses. by Sadia Afrin Runa (22504971)

Hydrogen bond interactions between Akt1/Akt2-IN-1 (red) and the AKT2 protein (blue) as predicted by molecular docking analyses. by Sadia Afrin Runa (22504971)

UHPLC-ESI-qTOF-MS/MS base peak chromatograms of <i>T. oliverianum</i> above ground parts in negative ionization mode. by Rania F. Ahmed (10032039)

Representative structure of some metabolites identified in <i>T. oliverianum</i> above-ground parts <i>using</i> UPLC-MS. by Rania F. Ahmed (10032039)

S1 Data - by Perumal Vivekanandhan (4863484)

“…<div><p><i>Aedes albopictus</i>, known as the Asian tiger mosquito, is a significant vector for dengue fever, chikungunya, zika virus, yellow fever. …”

Characteristics of Study Participants. by Hyelim Lee (11286822)

“…Sensitivity analyses confirmed a significantly lower HWP risk in the non-deficiency group under the lowered TG criterion and also showed that, in the three-category classification of vitamin D status, the non-deficiency group had a significantly lower HWP risk than the severe deficiency group, with a decreasing trend as vitamin D levels increased. …”