Specific activity of Pyruvate Kinase (PK)-M2 in both of human pancreatic tumor cell lines. by Archana Pandita (627056)

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)

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)

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

Data_Sheet_1_rdHSV-CA8 non-opioid analgesic gene therapy decreases somatosensory neuronal excitability by activating Kv7 voltage-gated potassium channels.docx by Munal B. Kandel (18526539)

Symmetrical dimethylation of SmB is decreased, its interaction with PRMT5 and the assembly of U snRNPs are impaired in <i>Tdrd6</i>^<i>-/-</i> primary spermatocytes by Müge Akpınar (3815143)

DataSheet_1_Preclinical characterization of amubarvimab and romlusevimab, a pair of non-competing neutralizing monoclonal antibody cocktail, against SARS-CoV-2.pdf by Yun Ji (464484)

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. …”

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. …”