MSD fits either a persistent random walker or a subdiffusive persistent random walker. by Leonie van Steijn (10142786)

Group average ocular blood flow in DBA/2J mice. by Eric R. Muir (11819939)

AS-IV inhibits the expression of inflammatory factors in rats with LPS-induced ALI. by Cheng Luo (48047)

Significantly differentially abundant microbial taxa at the genus level. by Yoshiaki Sato (2170141)

Effects of compound 4f on the seizure-like response elicited by kainic acid (KA). by Naoto Arimura (416442)

Different requirements for ALIX and TSG101 in the lysosomal transport processes of PEDV and PEAV. by Xiongnan Chen (13307178)

Changes in expression of myelin basic protein (MBP) and neurofilament heavy polypeptide (NF200) in the sciatic nerves of PSNL-exposed rats and the effects of treatment with MSCs. by Kanako Miyano (3805288)

Representative images of immunofluorescence staining and colocalization analysis of nanoprobes for P88 and laminin in T98G cells. by Juan F. Zapata-Acevedo (18349423)

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

Distribution of mRNAs on polysome profiles as a measurement of their translation efficiency. by Mohammed R. Alzahrani (13229154)

Transfluthrin does not elicit electroantennogram in <i>Ae</i>. <i>aegypti</i>. by Felipe Andreazza (11098928)

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. …”

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. …”