Representative images of immunofluorescence staining and colocalization analysis of nanoprobes for P88 and laminin in hCMEC/D3 cells. by Juan F. Zapata-Acevedo (18349423)

Shrimp allergen extract (SAE) immunotherapy preventing the development of allergies. by Honey Dzikri Marhaeny (20480031)

“…<p>Sensitized mice, but not the NC group, were treated (i.p.) with high- to low-dose immunotherapy (10 μg SAE for LI, 50 μg SAE for MI, and 100 μg SAE for HI). All mice were euthanized on day 59; blood serum and ileum tissues were collected and stored at −80°C for further analysis. …”

Raw data for figures and tables in the paper. by Runhai Jiang (19871068)

“…We employed broth culture and pot experiments to investigate the effect of the inoculation of <i>P</i>. …”

Sequence of <i>DpAP2</i> promoter. by Lingru Ruan (18995544)

“…<i>parva</i> cells treated with different concentrations of MeJA (10, 20, 50, 100 μM) and GA3 (10, 20, 50, 100 μM). The high concentrations of MeJA (10–100 μM) inhibited the accumulation of carotenoid, and the relative expression of <i>DpAP2</i>, <i>PSY</i>, <i>PDS</i> and <i>GGPS</i> decreased significantly. …”

Analysis of supernatant metabolites after <i>T</i>. <i>congolense</i> culture. by Pieter C. Steketee (10024552)

AaERR directly regulates the expression of key enzymes in the LM pathway. by Dan-Qian Geng (18137370)

Imbalanced Dataset Distribution. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Data Preprocessing Steps for IDC Dataset. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

IDC Breast Cancer Dataset Descriptions. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Accuracy Graph. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Loss Graph. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Hyperparameter Tuning of the Proposed Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Comparison of Accuracy Metric. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

ROC Curve for the Best Model (AUC = 0.92). by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Sampling Images of IDC Dataset. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Training Data/Validation/Test. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”

Impressive accuracy data. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”