Showing 121 - 140 results of 59,270 for search '(( significant changes increases ) OR ( significant variations decrease ))', query time: 1.02s Refine Results
  1. 121

    S1 File - by Luofu Liu (6436961)

    Published 2024
    Subjects: “…important practical significance…”
  2. 122

    Technical flow chart of the calculation and analysis of SUHI intensity. by Luofu Liu (6436961)

    Published 2024
    Subjects: “…important practical significance…”
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    Data_Sheet_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.DOCX by Sven Iburg (9251132)

    Published 2020
    “…Nematoda showed a significant increase in overall relative abundance to the added contaminants (5.5 ± 1.1% higher in spiked), particularly taxa of the genus Leptolaimus (increased from 10.2 ± 5.4% in the controls to 32.5 ± 10.2% in the spiked treatment). …”
  10. 130

    Data_Sheet_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.DOCX by Sven Iburg (9251132)

    Published 2020
    “…Nematoda showed a significant increase in overall relative abundance to the added contaminants (5.5 ± 1.1% higher in spiked), particularly taxa of the genus Leptolaimus (increased from 10.2 ± 5.4% in the controls to 32.5 ± 10.2% in the spiked treatment). …”
  11. 131

    Statistical significance of contextual response changes. by Benoit Le Bec (13020752)

    Published 2022
    “…Center inset (BOTH): all cases showing either a significant latency advance, or response integral increase, or both. …”
  12. 132

    Demographic variables that showed significantly higher odds for increased activity engagement compared to no change and were significant in the model (* = p<0.05; ** = p<0.01; *** = p<0.001). by Joshua W. Morse (9761734)

    Published 2020
    “…<p>Demographic variables that showed significantly higher odds for increased activity engagement compared to no change and were significant in the model (* = p<0.05; ** = p<0.01; *** = p<0.001).…”
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    The morphology of <i>E.coli</i> changes significantly when exposed to antibiotics. by Morten Kals (19727515)

    Published 2025
    “…<b>G</b> At 2.5 hours of growth, morphology data show that antibiotic concentrations near the MIC induce the most substantial changes in cell morphology, with significant area increases primarily driven by cell elongation. …”
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