Presentation_5_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.PPTX by Masih Eghdami (6901853)

“…The deforestation scenarios result in 50–100% decrease (up to ∼400 J kg^–1) in Convective Available Potential Energy (CAPE) spatially organized by land-cover change along the EADS. …”

Average number of Fos labeled cells in trigeminal Sp5c in control and stimulated naked mole-rats, rats and mice. by Pamela Colleen LaVinka (307681)

“…Naked mole-rats show no increase from stimulation with 20% acetic acid and remarkably, they show a significant decrease in number of labeled cells in response to stimulation with 50% acetic acid. …”

Hematoxylin and eosin staining with histomorphometric analysis of outflow vein removed from Iex-1^−/− and WT animals at day 28 after fistula placement. by Akshaar Brahmbhatt (551498)

Proliferation and apoptosis evaluation. by Dong Sun (165703)

“…(<b>K</b>) hAFSC group at 14 days after hAFSCs injection: The apoptotic cells were significantly decreased in animals in the hAFSC group (bar, 50 µm). …”

Analysis of scotopic electroretinograms in the <i>Aplp2</i> knockout mice. by Andrei V. Tkatchenko (789098)

“…Lack of <i>Aplp2</i> causes a dose-dependent decrease in the b-wave amplitude (F(2, 18) = 6.9, p = 6.0 × 10⁻³). …”

Table_4_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Data_Sheet_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.ZIP by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_3_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_7_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_6_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Image_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.TIF by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_5_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Mutation in <i>mtor</i> impairs RPE regeneration. by Fangfang Lu (664493)

“…(C) Quantification of the p-S6 signal in the RPE layer revealed a significant decrease in MTZ⁺ <i>mtor</i>^-/- larvae, when compared to MTZ⁺ <i>mtor</i>^+/+ siblings. …”

Effect of plant extracts from Cerrado on Alternaria leaf spot control in tomato plants by Bruna Fukumoto Kobayashi (5378267)

“…The experiment was performed in two steps: 1- in vivo (in a greenhouse under hydroponic system) and 2- in vitro (in the laboratory). …”

OL linage evaluation. by Diego C. Fernandez (292999)

“…Ischemic conditioning significantly prevented these alterations and a clear decrease in O1- and PDGFR-α-immunoreactivity, with cells aligned parallel to axon bundles were found. …”

Time course of <i>K</i>. <i>pneumoniae</i> susceptibility to CHX. by Stephen Buxser (11302550)

“…<p>The results are from a single representative linear regression analysis from among 50 permutation runs. …”

Dynamic modeling of rapid calcium signaling in spines and dendrites. by L. Niels Cornelisse (67656)

“…Quantification of fluorescence step sizes (middle panel) and fluorescence decreases after APs (right panel) during the AP train calculated by the model cf <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0001073#pone-0001073-g002" target="_blank">Figure 2F</a>.…”

Summary of cellular changes induced by the depletion of survival-associated motor proteins. by Line Groth-Pedersen (126999)

“…</p>5<p>It should be noted that these data might be affected by cell death that starts already 50 hours after the transfection with KIF21A siRNAs.…”

Cytotoxicity of wild-type and <i>Δrav1</i> cells to concentrations of DOXO ranging from 0 to 300 by Zoey Tay (276989)

“…Cell viability was estimated by the number of colonies that was formed after seven day incubation from 200 cells plated on rich media without drug, and expressed as a proportion to the untreated sample. Wild-type cells did not show decrease in viability over the range tested, while <i>Δrav1</i> showed >50% loss in viability at 75 µg/ml.…”