Modifying the thresholds of MT and HT fibers does not have a significant effect on CAP features for different HHL scenarios. by Maral Budak (6680351)

“…<p>(A)The rate-intensity curves for different fiber types (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008499#pcbi.1008499.g002" target="_blank">Fig 2E</a> for unmodified curves) are modified to have a more clear distinction between the activity thresholds of different fiber types, as in Fig 3 of [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008499#pcbi.1008499.ref012" target="_blank">12</a>]. …”

Figure S2: Depletion of RASSF1A alone or with RASSF1C results in disappearance of tight junctions and decrease of adherens junction, replaced by diffuse adherent junctions. from RA... by Fatéméh Dubois (5846192)

Investigation of mechanisms underlying NMR-detected changes in the levels of choline metabolites and lactate following treatment of SF188 pediatric glioblastoma cells with PI-103 (... by Nada M. S. Al-Saffar (454143)

<i>Sdc1</i>^-/- mice have normal leukocyte recruitment to the parietal peritoneum microcirculation. by Paulina M. Kowalewska (625078)

“…<p>Wild-type and <i>Sdc1</i>^-/- mice were injected IP with 50<i> µ</i>L of saline, <i>S. aureus</i> LTA (125<i> µ</i>g), <i>E. coli</i> LPS (125<i> µ</i>g) or TNF<i>α</i> (500 ng). …”

Temperature monitoring and viral shedding following BA.1 and VIC01 challenge and rechallenge. by Kathryn A. Ryan (13730701)

Effects of feed additives on alpha diversity. by Yoshiaki Sato (2170141)

Syndecan-1 expression in the abdominal wall and plasma does not change after LTA injection. by Paulina M. Kowalewska (625078)

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

Hand choice. by Aoife M. Fitzpatrick (13955365)

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. …”