Comparison of Model Five-classification 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 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. …”

PCA-CGAN Pseudocode 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. …”

PCA-CGAN Ablation Experiment 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. …”

Allometric of beds number allometric types and their changes in YRD Cities, 2009–2022. by Deng Jing (20614820)

Allometric of doctors, number of allometric types and their changes in YRD Cities, 2009–2022. by Deng Jing (20614820)

Changes in growth characteristics (A = shoot fresh weight; B = shoot dry weight; C = root fresh weight; D = root dry weight) of M. stenopetala under drought conditions.... by Nadia Khater (22553166)

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Changes in growth characteristics (A = shoot length; B = root length; C = collar diameter; D = number of leaves) of M. stenopetala under drought conditions. by Nadia Khater (22553166)

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Seed germination kinetics of M. stenopetala under the effect of different PEG concentrations. by Nadia Khater (22553166)

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Principal component analyses (left) and cumulative components (right) of the studied parameters of moringa plants under drought stress conditions. by Nadia Khater (22553166)

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Chlorophyll a content (A), Chlorophyll b content (B), total Chlorophyll content(C), and Chlorophyll ratio (D) of M. stenopetala leaves under the effect of different PEG concentrati... by Nadia Khater (22553166)

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Soluble sugar content in the stem (A), Soluble sugar content in the root (B), Amino acids content in the stem (C), Amino acids content in the root (D), and proline concentration (E... by Nadia Khater (22553166)

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Germination speed(A), Germination rate (B), Mean germination Time(MGT) (C), Germination Vigor Index (GVI) (D), and Germination index(GI) (E), of M. stenopetala seeds under the effe... by Nadia Khater (22553166)

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Bidimensional High-Low Frequency (HF, LF) plane representation of the interaction among Phase and High-Low Authoritativeness Groups_.: In the Low Authority (LA) group the... by David Vagni (8060432)

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Long-term changes in ABG parameters retrospectively tracked from the initiation of LTOT in the CRF group. by Kazuma Nagata (3400058)

“…This trend significantly differed from that of the non-CRF group and was most prominent for A-aDO₂. …”

Normalized significant family changes in abundance. by Karley K. Mahalak (3212670)

“…<p>A) <i>Erysipelotrichaceae</i> significantly increased with CCE treatment; B) <i>Bacteroidales_unclassified</i> significantly decreased with CCE treatment; C) <i>Desulfovibrionaceae</i> significantly decreased with CCE treatment; D) <i>Rikenellaceae</i> significantly decreased with CCE treatment; E) <i>Coriobacteriaceae</i> significantly decreased with CCE treatment; F) <i>Erysipelotrichaceae</i> significantly increased with TRE treatment.…”

Average stability values (mean ± standard deviation) and statistical results. by Hyung Suk Yang (20442438)

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Stability differences between condition 1 and other conditions across participants on the non-hemiparetic side (NHP) side. by Hyung Suk Yang (20442438)

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Flowchart of included and excluded patients. by P.G.J. ter Horst (21743830)

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Prevalence of low semen quality including 95% confidence interval (CI) for medication at the ATC 3 level. by P.G.J. ter Horst (21743830)

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