Search alternatives:
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant concern (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search), fold increases (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant concern (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search), fold increases (Expand Search)
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MiR-129-5p levels were decreased in mouse depression models.
Published 2025“…The Y-axis represents the fold change, while the X-axis indicates the significance of differential expression. …”
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Sensitivity analysis for inter-shift subscale.
Published 2025“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”
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PCA-CGAN K-fold experiment table.
Published 2025“…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. …”
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PCAECG-GAN K-fold experiment table.
Published 2025“…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. …”
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