Showing 6,841 - 6,860 results of 18,442 for search 'significantly ((((((mean decrease) OR (a decrease))) OR (teer decrease))) OR (linear decrease))', query time: 0.65s Refine Results
  1. 6841

    Summary statistics. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  2. 6842

    Month of interview by world region. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  3. 6843

    Effect by world bank income classification. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  4. 6844

    Marginal effect of additional hot day on SWB. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  5. 6845

    Income satisfaction measure. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  6. 6846

    Marginal effect of HTD on income and SWB. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  7. 6847

    Estimation procedure flow-chart. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  8. 6848

    Structural model outline. by Stephan Dietrich (6979985)

    Published 2025
    “…In this paper, we apply a novel approach to try and address this issue. …”
  9. 6849

    Amino acid metabolic pathways are influenced by the NC1 POM cycle over expression. by Bonnie A. McNeil (22331601)

    Published 2025
    “…Box and whisker plots of selected metabolites that displayed significant increase or decrease in the NC1 POM cycle producing strain (NC), red boxes, or empty vector producing strain (YC) green boxes. …”
  10. 6850

    Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s... by Mijung Song (13134633)

    Published 2025
    “…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
  11. 6851

    Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s... by Mijung Song (13134633)

    Published 2025
    “…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
  12. 6852

    Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s... by Mijung Song (13134633)

    Published 2025
    “…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
  13. 6853

    Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s... by Mijung Song (13134633)

    Published 2025
    “…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
  14. 6854

    Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s... by Mijung Song (13134633)

    Published 2025
    “…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
  15. 6855

    Direct Observation of Liquid–Liquid Phase Separation and Core–Shell Morphology of PM<sub>2.5</sub> Collected from Three Northeast Asian Cities and Implications for N<sub>2</sub>O<s... by Mijung Song (13134633)

    Published 2025
    “…As the shell becomes more viscous, the diffusivity of N<sub>2</sub>O<sub>5</sub> decreases, thereby lowering the N<sub>2</sub>O<sub>5</sub> uptake coefficient by 1–3 orders of magnitude and significantly restricting N<sub>2</sub>O<sub>5</sub> uptake. …”
  16. 6856
  17. 6857

    Prediction of transition readiness. by Sharon Barak (4803966)

    Published 2025
    “…In most transition domains, help needed did not decrease with age and was not affected by function. …”
  18. 6858

    Dataset visualization diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
  19. 6859

    Dataset sample images. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
  20. 6860

    Performance comparison of different models. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”