Presentation_6_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. …”

Data_Sheet_1_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.docx 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. …”

Presentation_1_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. …”

Presentation_4_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. …”

EFFECT OF PROGESTRONE IN PATIENTS WITH SEVERE TRAUMATIC BRAIN INJURY by Amr Hassan Dahroug (10182466)

“…<p><b>Background</b>: Traumatic brain injury is a major public health concern, resulting in substantial mortality and long-term disability. …”

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). …”