TNFAIP9 expression was increased in mice with chronic kidney disease (CKD) induced by 5/6 nephrectomy (Nx). by Ying Chen (9697)

Anthropometric, nutritional, and variable assessments of lean mass and fat mass obtained by DXA of exclusive breastfeeding mothers (EBF), at pre-pregnancy, baseline (15 days), and... by Larissa Brazolotto Ferreira (17671168)

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Comparisons between densitometric, biochemical, and hormonal variables and bone remodeling markers of exclusive breastfeeding mothers (EBF) 15 days postpartum and the same EBF moth... by Larissa Brazolotto Ferreira (17671168)

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Flowchart of the exclusive breastfeeding mothers (EBF) and the exclusive breastfeeding mother-donors (EBF+) who participated in the study. by Larissa Brazolotto Ferreira (17671168)

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Timeline of monitoring of exclusive breastfeeding mothers (EBF) and exclusive breastfeeding – donors (EBF+). by Larissa Brazolotto Ferreira (17671168)

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Comparison of densitometric, biochemical, and hormonal variables, and bone turnover markers of EBF + 6 months versus EBF + one year postpartum. by Larissa Brazolotto Ferreira (17671168)

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Open data. by Larissa Brazolotto Ferreira (17671168)

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General and sociodemographic characteristics of the EBF and EBF+ groups. by Larissa Brazolotto Ferreira (17671168)

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Variations in slope utilization by a female red panda across different time periods and in comparison with their wild individuals. Different capital letters indicated significant d... by Yanshan Zhou (14131359)

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Variations in altitude utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant diff... by Yanshan Zhou (14131359)

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Variations in aspect utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant differ... by Yanshan Zhou (14131359)

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Decomposition analysis of gastric cancer burden in Taiwan, stratified by gender. (A) Incidence. (B) Prevalence. (C) Mortality. (D) DALYs. Positive values on the X-axis indicate an... by Xiaohuang Yang (10182727)

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Increased <i>Huwe1</i> after induction of Sox2 in mouse ES cells. by Yen-Fu Cheng (5819855)

“…<i>Atoh1</i> expression increased with <i>Sox2</i> at low levels but decreased at higher <i>Sox2</i> level. …”

PCA-CGAN model parameter settings. 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. …”

MIT-BIH dataset proportion analysis chart. 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. …”

Wavelet transform preprocessing 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. 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. …”

MIT dataset expansion quantities and Proportions. 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. …”

Experimental hardware and software environment. 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 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. …”