Showing 421 - 440 results of 18,905 for search '(( 50 ((we decrease) OR (((a decrease) OR (mean decrease)))) ) OR ( 5 wt decrease ))', query time: 0.50s Refine Results
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    Differences in abundance of lipid molecules in liver of <i>Fmo5</i><sup><i>-/-</i></sup> and WT mice. by Ian R. Phillips (5074121)

    Published 2023
    “…Red dots are lipids that are significantly increased or decreased in <i>Fmo5</i><sup><i>-/-</i></sup> mice with a -log<sub>10</sub> <i>q</i> above 1.301 (<i>q</i> <0.05) (grey line). …”
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    S1 File - by Yonghui Zhang (279832)

    Published 2024
    “…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”
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    Detailed information on field experiments. by Yonghui Zhang (279832)

    Published 2024
    “…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”
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    List of symbols used in this study. by Yonghui Zhang (279832)

    Published 2024
    “…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”
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    Data sources for calibration and evaluation. by Yonghui Zhang (279832)

    Published 2024
    “…This study aims to explore the quantitative influence of different combinations of the observed phenological stages on estimation of cultivar-specific parameters (CPSs). We used the CROPGRO-Soybean phenological model (CSPM) as a case study in combination with the Generalized Likelihood Uncertainty Estimation (GLUE) method. …”
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    Tunable Electrical Properties of Embossed, Cellulose-Based Paper for Skin-like Sensing by Tongfen Liang (9601461)

    Published 2020
    “…The largest increase in conductivity from 8.38 × 10<sup>–6</sup> to 2.5 × 10<sup>–3</sup> S/m by a factor of ∼300 occurred at a percolation threshold of 3.8 wt % (or 0.36 vol %) with the composite paper plastically compressed by 410 MPa, which caused a decrease of porosity from 88% to 42% on average. …”
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    Tunable Electrical Properties of Embossed, Cellulose-Based Paper for Skin-like Sensing by Tongfen Liang (9601461)

    Published 2020
    “…The largest increase in conductivity from 8.38 × 10<sup>–6</sup> to 2.5 × 10<sup>–3</sup> S/m by a factor of ∼300 occurred at a percolation threshold of 3.8 wt % (or 0.36 vol %) with the composite paper plastically compressed by 410 MPa, which caused a decrease of porosity from 88% to 42% on average. …”
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    Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

    Published 2019
    “…Downregulation of DOM decreased PER levels at CT1-5 and CT17-21. (Scale bar: 50 um.) …”
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    S1 Data - by Jan Willem Koten (17743224)

    Published 2024
    “…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”