Showing 1,701 - 1,720 results of 21,342 for search '(( significantly poorer decrease ) OR ( significant decrease decrease ))', query time: 0.42s Refine Results
  1. 1701

    Absolute β convergence results. by Ke Liu (121889)

    Published 2025
    “…The probability of the population agglomeration level remaining stable was at least 53.85%, indicating that there was a “Matthew effect” in which the rich become richer and the poor become poorer. Through the convergence models of α and β, the analysis suggested that there was no significant α convergence between the population agglomeration level of the Xi’an metropolitan agglomeration and that of other metropolitan agglomerations. …”
  2. 1702

    Conditional β convergence results. by Ke Liu (121889)

    Published 2025
    “…The probability of the population agglomeration level remaining stable was at least 53.85%, indicating that there was a “Matthew effect” in which the rich become richer and the poor become poorer. Through the convergence models of α and β, the analysis suggested that there was no significant α convergence between the population agglomeration level of the Xi’an metropolitan agglomeration and that of other metropolitan agglomerations. …”
  3. 1703

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…The probability of the population agglomeration level remaining stable was at least 53.85%, indicating that there was a “Matthew effect” in which the rich become richer and the poor become poorer. Through the convergence models of α and β, the analysis suggested that there was no significant α convergence between the population agglomeration level of the Xi’an metropolitan agglomeration and that of other metropolitan agglomerations. …”
  4. 1704

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…The probability of the population agglomeration level remaining stable was at least 53.85%, indicating that there was a “Matthew effect” in which the rich become richer and the poor become poorer. Through the convergence models of α and β, the analysis suggested that there was no significant α convergence between the population agglomeration level of the Xi’an metropolitan agglomeration and that of other metropolitan agglomerations. …”
  5. 1705

    Regression results. by Ke Liu (121889)

    Published 2025
    “…The probability of the population agglomeration level remaining stable was at least 53.85%, indicating that there was a “Matthew effect” in which the rich become richer and the poor become poorer. Through the convergence models of α and β, the analysis suggested that there was no significant α convergence between the population agglomeration level of the Xi’an metropolitan agglomeration and that of other metropolitan agglomerations. …”
  6. 1706
  7. 1707
  8. 1708
  9. 1709
  10. 1710
  11. 1711
  12. 1712
  13. 1713
  14. 1714
  15. 1715
  16. 1716
  17. 1717
  18. 1718

    Split structural models for belief. by Abigail A. Lee (19935335)

    Published 2024
    “…More conservative political views and higher income correlated with decreased hesitancy. No other latent variables or covariates had a significant effect on vaccine hesitancy. …”
  19. 1719
  20. 1720

    Phosphorylation as an Effective Tool to Improve Stability and Reduce Toxicity of Antimicrobial Peptides by Zufang Ba (11036420)

    Published 2024
    “…Among them, W<sub>3</sub>BipY<sub>8</sub>-P stood out as the most promising peptide, exhibiting similar antibacterial activity as its unphosphorylated analog W<sub>3</sub>BipY<sub>8</sub> but with significantly reduced hemolytic activity (19-fold decrease), cytotoxicity (3.3-fold decrease), and an extended serum half-life 6.3 times longer than W<sub>3</sub>BipY<sub>8</sub>. …”