Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

The summarized graph for the values of the coefficients of significant linear trends. by Ekaterina Ivanova (230383)

Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

The laryngeal measures. by Andrew Ma (4532494)

Subjects:

Actions of the main intrinsic laryngeal muscles and the laryngeal abnormalities in Parkinson’s disease. by Andrew Ma (4532494)

Subjects:

PCA-CGAN K-fold experiment table. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

PCAECG-GAN K-fold experiment table. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

Size distributions of ucfDNA molecules. by Meihui Chen (1670020)

Subjects:

Significance of FakeNET with k-fold validation. by Turki Aljrees (16715369)

Supplemental Figure 2: Fold change of HOX genes in NULL compared to WT. Red dots indicate statistically significant increase. by Jeffery Joll (13029351)

“…<p>Fold change increases of Hox genes are compared between NULL and WT groups in the aortic root. …”

Statistically significant linear increase in use of antidementia medications and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)

Inter-assay parameters correlations. by Ekaterina M. Koltsova (5464523)

Statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. by Jelena Filimonovic (22305307)

Species-level differences calculated as fold changes for the significantly altered classes. by Hasim Tekin (16940791)

n-fold changes over control and statistical significances of Fig 6. by Jens Kleinehr (16541726)

n-fold changes over control and statistical significances of S13 Fig. by Jens Kleinehr (16541726)