Showing 341 - 360 results of 21,342 for search '(( ((significant decrease) OR (significant increase)) decrease ) OR ( significant fold decrease ))*', query time: 0.47s Refine Results
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    Loxoprofen and SB225002 administration decreased sound stress exposure-induced hyperalgesia. by Satoka Kasai (3861115)

    Published 2025
    “…Mice exposed to sound stress and treated with saline (Stress + saine group) showed significantly increased response times to the filament compared to the control (non-stress) group (0 − 30 min after administration, <sup>#</sup><sup>###</sup><i>P</i> < 0.0001; Bonferroni test). …”
  3. 343

    Table 1_Decreased neuronal excitability in hypertriglyceridemia hamsters with acute seizures.docx by Qiuyue Shen (20373266)

    Published 2024
    “…Following seizure induction, free palmitic acid levels in the frontal cortex dialysate significantly decreased, while the expression of palmitoyl acyltransferase 14 (ZDHHC14) in the frontal cortex tissue was higher in Apoc2<sup>−/−</sup> hamsters than in wild-type hamsters. …”
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    PCA-CGAN K-fold experiment table. by Chao Tang (10925)

    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. …”
  6. 346

    PCAECG-GAN K-fold experiment table. by Chao Tang (10925)

    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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