Showing 18,481 - 18,500 results of 30,805 for search '(( 2 step decrease ) OR ( 50 ((((ng decrease) OR (we decrease))) OR (a decrease)) ))', query time: 1.04s Refine Results
  1. 18481

    Presentation_6_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.pptx by Masih Eghdami (6901853)

    Published 2020
    “…The deforestation scenarios result in 50–100% decrease (up to ∼400 J kg<sup>–1</sup>) in Convective Available Potential Energy (CAPE) spatially organized by land-cover change along the EADS. …”
  2. 18482

    Data_Sheet_1_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.docx by Masih Eghdami (6901853)

    Published 2020
    “…The deforestation scenarios result in 50–100% decrease (up to ∼400 J kg<sup>–1</sup>) in Convective Available Potential Energy (CAPE) spatially organized by land-cover change along the EADS. …”
  3. 18483

    Presentation_1_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.PPTX by Masih Eghdami (6901853)

    Published 2020
    “…The deforestation scenarios result in 50–100% decrease (up to ∼400 J kg<sup>–1</sup>) in Convective Available Potential Energy (CAPE) spatially organized by land-cover change along the EADS. …”
  4. 18484

    Presentation_4_Deforestation Impacts on Orographic Precipitation in the Tropical Andes.PPTX by Masih Eghdami (6901853)

    Published 2020
    “…The deforestation scenarios result in 50–100% decrease (up to ∼400 J kg<sup>–1</sup>) in Convective Available Potential Energy (CAPE) spatially organized by land-cover change along the EADS. …”
  5. 18485

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

    Published 2021
    “…<p><b>Background</b>: Traumatic brain injury is a major public health concern, resulting in substantial mortality and long-term disability. …”
  6. 18486

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

    Published 2020
    “…The deforestation scenarios result in 50–100% decrease (up to ∼400 J kg<sup>–1</sup>) in Convective Available Potential Energy (CAPE) spatially organized by land-cover change along the EADS. …”
  7. 18487

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

    Published 2013
    “…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. …”
  8. 18488

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

    Published 2021
    “…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. …”
  9. 18489

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

    Published 2021
    “…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. …”
  10. 18490

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

    Published 2021
    “…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. …”
  11. 18491

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

    Published 2021
    “…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. …”
  12. 18492

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

    Published 2021
    “…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. …”
  13. 18493

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

    Published 2021
    “…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. …”
  14. 18494

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

    Published 2021
    “…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. …”
  15. 18495

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

    Published 2021
    “…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. …”
  16. 18496
  17. 18497

    Proliferation and apoptosis evaluation. by Dong Sun (165703)

    Published 2013
    “…(<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). …”
  18. 18498

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

    Published 2015
    “…Lack of <i>Aplp2</i> causes a dose-dependent decrease in the b-wave amplitude (F(2, 18) = 6.9, p = 6.0 × 10<sup>−3</sup>). …”
  19. 18499

    CTO treatment inhibits exosome-stimulated angiogenesis <i>in vivo</i>. by Chiara Corrado (145095)

    Published 2012
    “…(a) Matrigel plugs implanted subcutaneously in mice and containing: PBS as negative control,or 100 µg of LAMA84R exosomes (Exo) or 50 ng of recombinant IL8 (Rec IL8). …”
  20. 18500

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

    Published 2022
    “…(C) Quantification of the p-S6 signal in the RPE layer revealed a significant decrease in MTZ<sup>+</sup> <i>mtor</i><sup>-/-</sup> larvae, when compared to MTZ<sup>+</sup> <i>mtor</i><sup>+/+</sup> siblings. …”