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ppm decrease » _ decrease (Expand Search), a decrease (Expand Search), pa decreased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
3 nn » 3 non (Expand Search), 3 n (Expand Search), 3 nm (Expand Search)
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Showing 1 - 20 results of 377 for search '(( 5 ppm decrease ) OR ((( 3 nn decrease ) OR ( _ nn decrease ))))', query time: 0.43s Refine Results
  1. 1
    NN analysis to assign the importance of variables.

    NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

    Published 2022
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  2. 2
    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and heart rate (HR) across the three conditions.

    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

    Published 2025
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  3. 3
    Positional cloning of <i>qNN1</i> on chromosome 16.

    Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

    Published 2022
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  4. 4
    <i>GmNN1/FT2a</i> expression analysis.

    <i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

    Published 2022
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  5. 5
    Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation.

    Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

    Published 2022
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  6. 6
    Expression of <i>GmNN1/FT2a</i> in various tissues of soybean plants.

    Expression of <i>GmNN1/FT2a</i> in various tissues of soybean plants. by Xinxin Li (281237)

    Published 2022
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  7. 7
    GmNN1/FT2a interacted with GmNYFA-C in the BiFC assay.

    GmNN1/FT2a interacted with GmNYFA-C in the BiFC assay. by Xinxin Li (281237)

    Published 2022
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  8. 8
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  9. 9
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

    Published 2022
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  10. 10
    Top k-NN clusters of metabolites decreased at 4 hours.

    Top k-NN clusters of metabolites decreased at 4 hours. by Zarazuela Zolkipli-Cunningham (5234186)

    Published 2021
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  11. 11
    Top k-NN cluster of metabolites decreased at 30 minutes.

    Top k-NN cluster of metabolites decreased at 30 minutes. by Zarazuela Zolkipli-Cunningham (5234186)

    Published 2021
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  12. 12
    Inhibition and assessment of the biophysical gating properties of GluA2 and GluA2/A3 AMPA receptors using curcumin derivatives

    Inhibition and assessment of the biophysical gating properties of GluA2 and GluA2/A3 AMPA receptors using curcumin derivatives by Mohammad Qneibi (7314050)

    Published 2019
    “…Additionally, the obtained results provide derivatives that not only noncompetitively inhibit AMPARs but also decrease its biophysical kinetics, specifically desensitization and deactivation rates. …”
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  13. 13
    The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells.

    The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells. by Hannah C. Kubinski (21213168)

    Published 2025
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  14. 14
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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  15. 15
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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  16. 16
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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  17. 17
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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  18. 18
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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  19. 19
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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  20. 20
    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces

    Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

    Published 2025
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