Showing 101 - 120 results of 40,533 for search '(( significant ((changes decrease) OR (larger decrease)) ) OR ( significant detection rate ))', query time: 0.95s Refine Results
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    Image_1_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

    Published 2020
    “…The results showed a slightly decreasing trend for future droughts for the whole country, with a larger reduction for moderate droughts, followed by severe and extreme drought events. …”
  5. 105

    Image_2_Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models.tiff by Lenin Campozano (8502747)

    Published 2020
    “…The results showed a slightly decreasing trend for future droughts for the whole country, with a larger reduction for moderate droughts, followed by severe and extreme drought events. …”
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    The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020. by Xiaohua Chen (257762)

    Published 2021
    “…<p>The identified significant high-rate spatial-temporal clusters of new detected leprosy cases in Yunnan, China, 2011–2020.…”
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    Image_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.pdf by Sven Iburg (9251132)

    Published 2020
    “…Conversely, a significant decrease in relative abundance from 18.2 ± 5.6% in control to 7 ± 3.4% in of the genus Paraplectana was also detected. …”
  18. 118

    Image_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.pdf by Sven Iburg (9251132)

    Published 2020
    “…Conversely, a significant decrease in relative abundance from 18.2 ± 5.6% in control to 7 ± 3.4% in of the genus Paraplectana was also detected. …”
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    Significance test results. by Ning Zhang (23771)

    Published 2025
    “…<div><p>The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. …”