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Showing 1 - 20 results of 1,541 for search '(( significantly nn decrease ) OR ( significant differences became ))', query time: 0.30s 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
    Donor-matched cervical tissues inoculated with HIV-1 became productively infected.

    Donor-matched cervical tissues inoculated with HIV-1 became productively infected. by Robert Langat (16960659)

    Published 2025
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  3. 3
    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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  4. 4
    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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  5. 5
    <i>GmNN1/FT2a</i> expression analysis.

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

    Published 2022
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  6. 6
    Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation.

    Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

    Published 2022
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  7. 7
    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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  8. 8
    Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a.

    Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

    Published 2022
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  9. 9
    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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  10. 10
    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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  11. 11
    Statistical significance of difference in MR image features between histologic necrosis and viable tumor.

    Statistical significance of difference in MR image features between histologic necrosis and viable tumor. by Ka Yaw Teo (12085861)

    Published 2022
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  12. 12
    Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping.

    Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping. by Xinxin Li (281237)

    Published 2022
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  13. 13
    Differential abundance analysis on genus level The differential abundance analysis on genus level did not reveal significant differences after FDR-adjustment of p-values.

    Differential abundance analysis on genus level The differential abundance analysis on genus level did not reveal significant differences after FDR-adjustment of p-values. by Anna Sophia Leps (21192402)

    Published 2025
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  14. 14
    Differential abundance analysis on phylum level The differential abundance analysis on phylum level did not reveal significant differences after FDR-adjustment of p-values.

    Differential abundance analysis on phylum level The differential abundance analysis on phylum level did not reveal significant differences after FDR-adjustment of p-values. by Anna Sophia Leps (21192402)

    Published 2025
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  15. 15
    Phenotype and molecular identification of <i>GmNN1/FT2a</i> in stable transgenic soybean plants.

    Phenotype and molecular identification of <i>GmNN1/FT2a</i> in stable transgenic soybean plants. by Xinxin Li (281237)

    Published 2022
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  16. 16
    The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation.

    The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

    Published 2022
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  17. 17
    Differential abundance analysis of <i>Mycoplasma</i> The differential abundance analysis of <i>Mycoplasma</i> did not reveal significant differences after FDR-adjustment of p-values.

    Differential abundance analysis of <i>Mycoplasma</i> The differential abundance analysis of <i>Mycoplasma</i> did not reveal significant differences after FDR-adjustment of p-value... by Anna Sophia Leps (21192402)

    Published 2025
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  18. 18
    LSMean values of each phylum and genus relative abundance that were significantly correlated with age (Table 3) and/or differed between age categories.

    LSMean values of each phylum and genus relative abundance that were significantly correlated with age (Table 3) and/or differed between age categories. by Marylou Baraille (18720960)

    Published 2024
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  19. 19
    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration

    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

    Published 2022
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  20. 20
    Temporal profiles of the key BO-NN features.

    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…The shifts associated with non-significant prediction accuracies are greyed-out. <b>(c)</b> The results of the MDS for the key BO-NN features. …”
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