Total energy of two NM2B as a function of overlap <i>L</i>_<i>o</i> for fixed stagger <i>s</i>. by Tom L. Kaufmann (8969765)

“…<p>The parallel staggers have a critical overlap <i>L</i>_<i>o</i> below which bending is favorable, while the antiparallel staggers exhibit decreasing overall energy for increasing overlap <i>L</i>_<i>o</i>. …”

APPLICABILITY OF THE SWAT HYDROLOGICAL MODEL IN THE MUCURI RIVER BASIN by Rafael A. Almeida (5021504)

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. …”

Data_Sheet_1_Using Real-Time Kinematic (RTK) Devices to Show a Limited Effect of Boldness and Fearfulness on Social Proximity in Sheep Grazing at Pasture.PDF by Hamideh Keshavarzi (9703640)

“…All cohorts were tested sequentially over a 5-week period. Social network analyses of GNSS locational data with a distance threshold of up to 30 m for all cohorts together showed no significant effect of personality traits (P = 0.11). …”

Data Sheet 1_Impact of individualized and structured aerobic exercise on clinical outcomes in pediatric congenital heart diseases with post-surgical rehabilitation: a meta-analysis... by Ayoola Awosika (22687004)

“…</p>Results<p>Ten studies (5 RCTs, 5 observational) comprising of 378 patients were included. …”

Image_6_Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.PDF by Eduardo Jorge Godoy (5231729)

“…</p><p>Methodology: We have developed a 3D atrial model that includes 5 distributions of patchy fibrosis in the left atrium at 5 different stages. …”

Image_4_Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.PDF by Eduardo Jorge Godoy (5231729)

“…</p><p>Methodology: We have developed a 3D atrial model that includes 5 distributions of patchy fibrosis in the left atrium at 5 different stages. …”

Image_3_Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.PDF by Eduardo Jorge Godoy (5231729)

“…</p><p>Methodology: We have developed a 3D atrial model that includes 5 distributions of patchy fibrosis in the left atrium at 5 different stages. …”

Image_1_Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.PDF by Eduardo Jorge Godoy (5231729)

“…</p><p>Methodology: We have developed a 3D atrial model that includes 5 distributions of patchy fibrosis in the left atrium at 5 different stages. …”

Table_1_Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.PDF by Eduardo Jorge Godoy (5231729)

“…</p><p>Methodology: We have developed a 3D atrial model that includes 5 distributions of patchy fibrosis in the left atrium at 5 different stages. …”

Table 1_Ultrasonographic assessment of optic nerve sheath diameter on the affected and unaffected sides as a predictor of clinical deterioration at discharge in patients with large... by Changlan Li (704841)

“…Ultrasonographic optic nerve sheath diameter (ONSD) measurement provides a non-invasive method for estimating intracranial pressure. …”

Data_Sheet_1_Fatal Adverse Events Associated With Immune Checkpoint Inhibitors in Non–small Cell Lung Cancer: A Systematic Review and Meta-Analysis.DOCX by Xiaolin Yu (192623)

“…<p>Background: Immune checkpoint inhibitors (ICIs) have previously been reported to have a promising potential in terms of the improvement of outcomes in non–small cell lung cancer (NSCLC). …”

Image_2_Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.PDF by Eduardo Jorge Godoy (5231729)

“…</p><p>Methodology: We have developed a 3D atrial model that includes 5 distributions of patchy fibrosis in the left atrium at 5 different stages. …”

Recursive sites aid in efficient splicing of long <i>Drosophila</i> introns. by Athma A. Pai (119315)

“…<p><b>(A)</b> The percentage of splice junction reads (mean percentage across recursive introns; <i>x-axis</i>) that span the exon-exon boundary (5' splice site– 3' splice site; <i>dark blue</i>), a 5' splice and recursive site (<i>light blue</i>), two recursive sites (<i>gold</i>), and a recursive site and 3' splice site (<i>yellow</i>) across different labeling periods (<i>y-axis</i>). …”

Friedman statistic and p-value across iterations. by Marwah Salman (22593380)

“…The results demonstrate that the ensemble learning algorithm, Random Forest (RF), outperforms other models with an R-squared of 0.953 and an RMSE of 0.233. A Friedman statistical test was applied to validate the results over five iterations of model training. …”

The effect of DC bias on clipping noise variance. by Marwah Salman (22593380)

“…The results demonstrate that the ensemble learning algorithm, Random Forest (RF), outperforms other models with an R-squared of 0.953 and an RMSE of 0.233. A Friedman statistical test was applied to validate the results over five iterations of model training. …”

Performance of RF regression model. by Marwah Salman (22593380)

“…The results demonstrate that the ensemble learning algorithm, Random Forest (RF), outperforms other models with an R-squared of 0.953 and an RMSE of 0.233. A Friedman statistical test was applied to validate the results over five iterations of model training. …”

DataSheet1_Establishment of a human nasal epithelium model of histamine-induced inflammation to assess the activity of fexofenadine as an inverse agonist and its link to clinical b... by Anne Barbot (18810823)

“…</p>Results<p>HIS at 100 µM induced significant 3.1-fold and 2.2-fold increases for inflammatory biomarkers interleukin (IL)-8 and IL-6, respectively (p < 0.0001), as well as rapid upregulation of H1R mRNA. …”

DataSheet1_Causal effects of serum calcium, phosphate, and 25-hydroxyvitamin D on kidney function: a genetic correlation, pleiotropic analysis, and Mendelian randomization study.zi... by Yanjun Liang (4394089)

“…Similarly, serum P was associated with a decrease in eGFRcrea (beta −0.01, P-value 2.0E−04; beta −0.005, P-value 2.0E−03) and an increase in BUN (beta 0.02, P-value 3.0E−03; beta 0.02, P-value 7.5E−07). …”

Gene cluster formation effectively covers antiSMASH and MIBiG BGC core gene sections. by Alexander M. Kloosterman (9910104)