Restricted cubic spline plots showing the association between changes in PAL and risk of CVD. حسب Haiwei Li (282229)

Raw data. حسب Saeedeh Abbasi (9423189)

الموضوعات:

Mean (95% CI) and standard deviation of Lumbar Lordosis angle(˚) between two groups pre and post 60 minutes of standing. حسب Saeedeh Abbasi (9423189)

الموضوعات:

Mean (95% CI) and standard deviation of VAS Score (mm) before & after intervention between two group during 1-houre standing. Intervention: using footrest with/without changing arm... حسب Saeedeh Abbasi (9423189)

الموضوعات:

Data. حسب Saeedeh Abbasi (9423189)

الموضوعات:

Co-Contraction index of right and left gluteus medius activity (MVC%) during 60 minutes standing (time- condition) between two groups (A: used the footrest intermittently, B: used... حسب Saeedeh Abbasi (9423189)

الموضوعات:

Example of a participant using the elevated surface (20 cm) during the intermittent footrest use (A) and the intermittent footrest use with arm flexion, hands crossed on the clavic... حسب Saeedeh Abbasi (9423189)

الموضوعات:

VAS score (mm) before & after intervention between two group (A: used the footrest intermittently, B: used the footrest with change arm positions) every 15 minutes during 60 minute... حسب Saeedeh Abbasi (9423189)

الموضوعات:

Mean (95% CI) and standard deviation of Co-Contraction index of right and left gluteus medius (MVC%) during 60 minutes standing between two groups. حسب Saeedeh Abbasi (9423189)

الموضوعات:

Convergence trends for IEEE 33-bus test system. حسب Ahmed A. Zaki Diab (12757190)

The response of the <i>A</i>. <i>albopictus</i> larval Glutathione S-transferase (GST) enzyme increased 7.8-fold in response to <i>M</i>. <i>robertsii</i>-derived copper nanopartic... حسب Perumal Vivekanandhan (4863484)

الموضوعات:

PCA-CGAN model parameter settings. حسب 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. …"

MIT-BIH dataset proportion analysis chart. حسب 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. …"

Wavelet transform preprocessing results. حسب 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. حسب 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. …"

MIT dataset expansion quantities and Proportions. حسب 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. …"

Experimental hardware and software environment. حسب 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. …"

PCA-CGAN K-fold experiment table. حسب 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. …"

Classification model parameter settings. حسب 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. …"

MIT-BIH expanded dataset proportion chart. حسب 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. …"