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Showing 1 - 20 results of 139 for search '(( significant decrease cgas ) OR ( significant nn decrease ))*', query time: 0.86s Refine Results
  1. 1
    pDNA-PK levels are decreased in absence of cGAS.

    pDNA-PK levels are decreased in absence of cGAS. by Elona Gusho (4688170)

    Published 2022
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  2. 2
    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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  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
    cGAS exacerbates <i>Schistosoma japonicum</i> infection in mice.

    cGAS exacerbates <i>Schistosoma japonicum</i> infection in mice. by Le Liang (2144725)

    Published 2022
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  7. 7
    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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  8. 8
    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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  9. 9
    cGAS is required for an ISD, but not an LPS, -induced type I IFN response.

    cGAS is required for an ISD, but not an LPS, -induced type I IFN response. by Le Liang (2144725)

    Published 2022
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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  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
    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses

    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …”
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  18. 18
    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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  19. 19
    The cGAS-STING axis is essential for <i>Schistosoma japonicum</i> infection-induced type I IFN response.

    The cGAS-STING axis is essential for <i>Schistosoma japonicum</i> infection-induced type I IFN response. by Le Liang (2144725)

    Published 2022
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  20. 20
    Median ATR-FTIR absorbance spectra of malignant (<i>n = 88</i>) and benign (<i>n = 78</i>) breast tissue samples.

    Median ATR-FTIR absorbance spectra of malignant (<i>n = 88</i>) and benign (<i>n = 78</i>) breast tissue samples. by Rock Christian Tomas (12003669)

    Published 2022
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