K-fold cross validation accuracy of different models. by Shayla Naznin (13014015)

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Trends and projection of under-5 mortality in Bangladesh. by Shayla Naznin (13014015)

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Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

DALY and HLY in Portugal, 1990–2019. The first graph shows a decreasing trend of DALY and the second graph shows an increasing trend of HLY. by Aida Isabel Tavares (12080156)

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. …”

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. …”

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

Results of the parallel trend test. by Le Zhu (1771669)

Time series comparing trends at HSJ and control hospitals in the pre-intervention and intervention period. Significance test determine if trends differ between groups. by Eva Rydahl (6260771)

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Negative ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

Positive ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

The 160 differentially expressed proteins significantly elevated in the severe injury group compared to the mild injury group and their folding changes. by Huiyang Jia (14444661)

Visualization of under-5 mortality rate in Bangladesh. by Shayla Naznin (13014015)

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Under-5 mortality rate and projections in Bangladesh. by Shayla Naznin (13014015)

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Model performance comparison. by Shayla Naznin (13014015)

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Settling time for changes in the median of the Folded Normal distribution. by Ariel Burman (20329776)

Trends in the burden of stroke attributed to smoking. by Jaber S. Alqahtani (8822396)

(a) M-K test of annual average water level in Caspian Sea (unformatted fit (UF) and underidentification bias (UB) is positive and reverse order in the time series respectively; ɑ i... by Zihao Duan (17403792)

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