Simulation datasets. by Xiao Mo (2430355)

“…These results offer significant theoretical guidance for the design and improvement of needle-free injection.…”

The small blue circles show the IC-volume (mean of left and right) from 72 males and the small red squares from 51 females as a function of age. by Pingling Kwok (14896191)

Overexpression of TNFAIP9 alleviated the renal fibrosis caused by 5/6 Nx in C57 mice. by Ying Chen (9697)

Overexpression of TNFAIP9 suppressed inflammation in mouse peritoneal macrophages caused by 5/6 Nx in C57 mice. by Ying Chen (9697)

Overexpression of TNFAIP9 remitted the renal inflammation caused by 5/6 Nx in C57 mice. by Ying Chen (9697)

Overexpression of TNFAIP9 inhibited the TGF-β-induced fibrosis in HK-2 cells. by Ying Chen (9697)

TNFAIP9 expression was increased in mice with chronic kidney disease (CKD) induced by 5/6 nephrectomy (Nx). by Ying Chen (9697)

Overexpression of TNFAIP9 counteracted the renal damage caused by 5/6 Nx in C57 mice. by Ying Chen (9697)

Overexpression of TNFAIP9 inhibited the TNF-α-induced inflammation in HK-2 cells. by Ying Chen (9697)

Additional within-case comparison information. by Ryan J. Treves (13527735)

“…While the state’s introduction of $3,000 mandatory minimum penalties for certain Clean Water Act effluent and reporting violations by permitted wastewater facilities reflected a significant step-up in enforcement, the policy also allowed small communities with financial hardship to redirect penalties toward investments in compliance. …”

POTW sample summary. by Ryan J. Treves (13527735)

“…While the state’s introduction of $3,000 mandatory minimum penalties for certain Clean Water Act effluent and reporting violations by permitted wastewater facilities reflected a significant step-up in enforcement, the policy also allowed small communities with financial hardship to redirect penalties toward investments in compliance. …”

Characteristics of the participants. by Kensaku Sasayama (741571)

“…Overall physical activity levels decreased at follow-up compared to baseline. However, the contribution of commuting school activities to overall physical activity significantly increased at follow-up compared to baseline, especially in step counts and MVPA. …”

General procedure for the synthesis of B. by Xueqin lu (22250795)

PCA-CGAN model parameter settings. 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. …”

MIT-BIH dataset proportion analysis chart. 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. …”

Wavelet transform preprocessing results. 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. 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. …”

MIT dataset expansion quantities and Proportions. 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. …”

Experimental hardware and software environment. 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. …”

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. …”