Search alternatives:
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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561
Baseline patient characteristics.
Published 2025“…Changes during drug infusion were compared in a linear mixed model to assess the effects of s-ketamine and midazolam compared to saline. …”
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566
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Top Genes with Significantly Decreased Transcript Levels at the Site of SSTI<sup>1</sup>.
Published 2015“…<p><sup>1</sup>Top 50 genes with greatest negative change in LFC when comparing infected ears to uninfected ears from challenged mice for each time point represented</p><p><sup>2</sup>Function determined via Entrez (<a href="http://www.ncbi.nlm.nih.gov/" target="_blank">www.ncbi.nlm.nih.gov</a>) or Uniprot (<a href="http://www.uniprot.org/" target="_blank">www.uniprot.org</a>)</p><p><sup>3</sup>LFC = Log Fold Change</p><p>Italicized values indicate transcripts are significantly increased at the indicated time point.…”
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573
Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf
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. …”
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574
Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf
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. …”
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575
Data_Sheet_1_Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.pdf
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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576
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577
Response of a toggle-switch to pulse inputs.
Published 2014“…For sub-saturating durations, the dependence exhibits an approximately threshold-linear property: there is no activation until the pulse duration is above a threshold; then the activation probability increases linearly (as shown by solid lines, R<sup>2</sup>>0.9) until saturation. …”
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578
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