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Showing 1 - 20 results of 24 for search '(( a e decrease ) OR ( 10 ((nn decrease) OR (((a decrease) OR (mean decrease)))) ))~', query time: 1.09s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    HRV parameters at different time points.

    HRV parameters at different time points. by Shiying Liu (1569478)

    Published 2024
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  10. 10
    Fig 4 -

    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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  11. 11
    Fig 5 -

    Fig 5 - by Dennis Ochola (11626912)

    Published 2022
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  12. 12
    Fig 9 -

    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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  13. 13
    Fig 7 -

    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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  14. 14
    The effect of novel synthetic communities on plant shoot Pi content can be predicted by an NN.

    The effect of novel synthetic communities on plant shoot Pi content can be predicted by an NN. by Sur Herrera Paredes (674875)

    Published 2018
    “…<p>(<b>A</b>) Schematic representation of the NN defined and applied for predictions. …”
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  15. 15
    Correlations between clinical scales, emotional perception, and heart rate variability.

    Correlations between clinical scales, emotional perception, and heart rate variability. by Sung Ah Chung (21672770)

    Published 2025
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  16. 16
    Nuclear HER3 can regulate a minimal region of the cyclin D1 promoter via its bipartite transactivation domain.

    Nuclear HER3 can regulate a minimal region of the cyclin D1 promoter via its bipartite transactivation domain. by Toni M. Brand (443217)

    Published 2013
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  17. 17
    Ketamine reduces cell adhesion.

    Ketamine reduces cell adhesion. by Claire E. Hills (452020)

    Published 2013
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  18. 18
    Networks with passive cross-links and no filament turnover undergo three stages of deformation in response to an extensional stress.

    Networks with passive cross-links and no filament turnover undergo three stages of deformation in response to an extensional stress. by William M. McFadden (4692130)

    Published 2017
    “…Network parameters: <i>L</i> = 1 <i>μm</i>, <i>l</i><sub><i>c</i></sub> = 0.3 <i>μm</i>, <i>ξ</i> = 10 <i>nN</i> ⋅ <i>s</i>/<i>μm</i>. <b>B)</b> Mean filament stress and velocity profiles for the network in (A) at t = 88s. …”
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  19. 19
    Table_1_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx

    Table_1_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx by Kathrin Machetanz (10302452)

    Published 2021
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  20. 20
    Table_2_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx

    Table_2_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx by Kathrin Machetanz (10302452)

    Published 2021
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