Search alternatives:
significant fold » significant force (Expand Search), significant co (Expand Search), significant all (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search), fold increases (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
significant fold » significant force (Expand Search), significant co (Expand Search), significant all (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search), fold increases (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx
Published 2025“…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
The top 10 putative metabolites with the largest negative fold change between normal and thin cows.
Published 2025Subjects: -
18
The top 10 putative metabolites with the largest positive fold change between normal and thin cows.
Published 2025Subjects: -
19
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. …”
-
20
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. …”