Search alternatives:
significant rate » significant rates (Expand Search), significant role (Expand Search), significant rise (Expand Search)
non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
rate based » rule based (Expand Search), made based (Expand Search), game based (Expand Search)
significant rate » significant rates (Expand Search), significant role (Expand Search), significant rise (Expand Search)
non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
rate based » rule based (Expand Search), made based (Expand Search), game based (Expand Search)
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Image_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.pdf
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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Forest Plot of the incidence of non-serious adverse events in MSCs therapy group and control group.
Published 2023Subjects: “…erythrocyte sedimentation rate…”
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Data_Sheet_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.DOCX
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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Data_Sheet_1_Organic Contaminant Mixture Significantly Changes Microbenthic Community Structure and Increases the Expression of PAH Degradation Genes.DOCX
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.
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. To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”
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Rate of convergence for relative errors.
Published 2025“…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …”
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