Comparison of Model Five-classification 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 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. …”

PCA-CGAN Pseudocode 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. …”

PCA-CGAN Ablation Experiment 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. …”

S1 File - Utilization of psychotropic drugs in Serbia from 2006 to 2021: Patterns before and during the COVID-19 pandemic by Jelena Filimonovic (22305307)

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Multiomics Approach Identifies Key Proteins and Regulatory Pathways in Colorectal Cancer by Jun Rao (2031019)

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Supplementary data: Flowchart of the study. by Suphanida Kaewkamchai (19762172)

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Effect of CD8+ T-cells coculture and CM on hypoxic and normoxic PANC-1 cells. by Eiman Abdo (20642254)

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CFSE staining of CD8+ T-cells for proliferation assessment. by Eiman Abdo (20642254)

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Percentages (%) of concentration changes in TNF-α, IL-6, and IFN-γ released by PANC-1 cells under hypoxic and normoxic conditions cultured with CD8+ T-cells CM. by Eiman Abdo (20642254)

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CD8+ T-cells percentage in PBMCs and purity after isolation and activation. by Eiman Abdo (20642254)

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Assessment of CD8+ T-cells viability after activation and culturing in HCM vs. NCM for 72 hours by staining with 7-AAD. by Eiman Abdo (20642254)

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Percentages of concentration changes in TNF-α, IL-6, and IFN-γ in co-culture of hypoxic and normoxic PANC-1 cells with CD8+ T-cells. by Eiman Abdo (20642254)

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Relative expression levels in TNF-α, IL-6, and p53 in co-culture and CM treatment of hypoxic and normoxic PANC-1 cells with CD8+ T-cells. by Eiman Abdo (20642254)

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Percentages (%) of concentration changes of cytokines for CD8+ T-cells after cultured in HCM or NCM of PANC-1 cells. by Eiman Abdo (20642254)

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Measurement of inflammatory cytokines in liver and heart tissues. by Ayça Toprak-Semiz (22582110)

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Comparison results for median (25th percentile-75th percentile) damage degree scores for liver and heart tissues. by Ayça Toprak-Semiz (22582110)

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Comparison results for n (%) of damage degree scores for liver and heart tissues. by Ayça Toprak-Semiz (22582110)

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Histopathological appearance of the liver. by Ayça Toprak-Semiz (22582110)

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Histopathological appearance of the heart. by Ayça Toprak-Semiz (22582110)

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