بدائل البحث:
significantly improved » significantly increased (توسيع البحث)
improved decrease » improved urease (توسيع البحث), marked decrease (توسيع البحث)
fold decrease » fold increase (توسيع البحث), fold increased (توسيع البحث), fold increases (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
significantly improved » significantly increased (توسيع البحث)
improved decrease » improved urease (توسيع البحث), marked decrease (توسيع البحث)
fold decrease » fold increase (توسيع البحث), fold increased (توسيع البحث), fold increases (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
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Phosphorylation as an Effective Tool to Improve Stability and Reduce Toxicity of Antimicrobial Peptides
منشور في 2024"…Among them, W<sub>3</sub>BipY<sub>8</sub>-P stood out as the most promising peptide, exhibiting similar antibacterial activity as its unphosphorylated analog W<sub>3</sub>BipY<sub>8</sub> but with significantly reduced hemolytic activity (19-fold decrease), cytotoxicity (3.3-fold decrease), and an extended serum half-life 6.3 times longer than W<sub>3</sub>BipY<sub>8</sub>. …"
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Early IL-33 administration expands trTregs and improves disease outcome in infected mice.
منشور في 2025الموضوعات: -
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PCA-CGAN K-fold experiment table.
منشور في 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.
منشور في 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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