Intervention components. by Maureen O’ Callaghan (21368375)

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Linear relationship between Simpson’s Diversity and SST. by Rebecca J. Ward (9872202)

Linear correlations between vitamin D and study parameters. by Saleh Nazmy Mwafy (14886192)

Logistic regression model adjusted for statistically significant variables in the baseline model (CVRF and comorbidities). by Juan Manuel Gracia Baena (16412839)

Statistical significance of MixNet accuracy compared to other models. by Van-Trang Nguyen (21673190)

Multiplication rate of J774 and RAW cells in relation to the intracellular growth of ITMAP-263 (not showing significant intracellular multiplication in PECs) and LEM3049 (showing r... by Sarah Hendrickx (321143)

The architecture of the English discourse component syntactic analysis model. by Yunxia Wang (294320)

Variance component results MET analysis using spatial and FA models. by Kassahun Tesfaye (159411)

Structural Diagrams of RF Model and ResNet Model. 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. …”

Comparison of non-parametric components of three models in the presence of Cardiovascular disease. by Shafeel Umam (21736503)

Significant age effects on model parameters extracted from the winning model M7. by Vanessa Scholz (20208617)

Approximations of the log-likelihood for each of the three components and their alternative Poisson models. by Ke Li (106849)

Odds ratios for significant coefficients in multinomial logistic regression models with each emotion as the reference emotion, using the four components from the PCA analyses as independent variables (only significant odds ratios are shown). by Mattias Ekberg (11919653)

“…<p>Odds ratios for significant coefficients in multinomial logistic regression models with each emotion as the reference emotion, using the four components from the PCA analyses as independent variables (only significant odds ratios are shown).…”

This is the ANOVA table showing the variance component estimates. by Moshood A. Bakare (13113560)

Quartet of reassembled components. by Yankun Jiang (5690342)

Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

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Flowchart of neural network and linear regression prediction model. by Dania AL-Najjar (11840857)

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Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

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Face discrimination thresholds for single and combined components of the Basel Face Model. by Kerri Walter (14185969)

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Experimental overview with two main components. by MinJae Woo (11016340)