Showing 2,261 - 2,280 results of 226,405 for search '(( a ((a decrease) OR (linear decrease)) ) OR ( a ((greatest decrease) OR (largest decrease)) ))', query time: 1.59s Refine Results
  1. 2261

    Posters by gender. by Ignacio García-Espona (21395335)

    Published 2025
    “…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”
  2. 2262

    Thematic clouds for lectures. by Ignacio García-Espona (21395335)

    Published 2025
    “…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”
  3. 2263

    Sample Data. by Ignacio García-Espona (21395335)

    Published 2025
    “…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”
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    Staining of histological sections demonstrates tumor response, decreased PI3K signaling, and decreased cell proliferation following rapamycin treatment. by Dustin A. Deming (400803)

    Published 2013
    “…Tissue was stained with H&E (<i>A</i>). Compared to placebo, a dramatic decrease in size was noted in the tumors from rapamycin-treated mice. …”
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    Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf by Elodie Martinez (9041420)

    Published 2020
    “…This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. …”
  15. 2275

    Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf by Elodie Martinez (9041420)

    Published 2020
    “…This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. …”
  16. 2276

    Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf by Elodie Martinez (9041420)

    Published 2024
    “…This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. …”
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