Showing 1,781 - 1,800 results of 4,254 for search 'significant ((((gap decrease) OR (((step decrease) OR (greatest decrease))))) OR (mean decrease))', query time: 0.57s Refine Results
  1. 1781

    Shape error manual calculation process. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  2. 1782

    U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  3. 1783

    Sliding window process. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  4. 1784

    Assembly error angle of a single spline. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  5. 1785

    Original record form of error matrix. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  6. 1786

    Form for machine recognition. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  7. 1787

    RMSE versus architectural parameters. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  8. 1788

    Kalman process. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  9. 1789

    Attention mechanism. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  10. 1790

    Shape error measurement results statistics. by Zhe Hu (787283)

    Published 2025
    “…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
  11. 1791

    Orsay virus infection does not modulate autophagic flux at 48hpi. by Gowri Kalugotla (10292196)

    Published 2025
    “…Each point represents 200 animals, and mean + /- standard error is shown. Statistical significance was determined by Mann-Whitney test (**** = p < 0.0001). …”
  12. 1792

    Primary data. by Andrey V. Cybulsky (4007012)

    Published 2024
    “…However, there was no significant correlation between the degree of hyperglycemia and albuminuria, and even iPLA<sub>2</sub>γ KO mice with greatest hyperglycemia did not develop significant albuminuria. …”
  13. 1793

    Enterocolitis severity increases with DSS concentration. by Cuilee Sha (4836888)

    Published 2025
    “…<b>(D)</b> Cellular proliferation, as measured by number of Ki67-<i>p</i>ositive cells within small intestinal crypts, decreased significantly in 2% DSS. One-way ANOVA with Tukey’s post-hoc, p < 0.0001 (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0323626#pone.0323626.s018" target="_blank">S10</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0323626#pone.0323626.s019" target="_blank">S11 Tables</a>). …”
  14. 1794
  15. 1795

    Supplementary file 1_The impact of enterprise digital transformation on employees’ intrinsic motivation: the mediating role of justice perceptions.docx by Xiaorui Chang (22804850)

    Published 2025
    “…The research results, derived from path analysis and moderating effect analysis methods, indicate that enterprise digital transformation has an motivational effect on employees’ intrinsic motivation, and employees’ distributive justice, procedural justice, and interactional justice perceptions all play significant mediating roles, while information processing job characteristics show significantly different moderating effects on different motivational paths: When information processing are low, the distributive justice path loses its motivational effect, while the motivational effect of the interactional justice path significantly decreases when information processing are high, and the moderating effect on the procedural justice path is always insignificant. …”
  16. 1796
  17. 1797

    Summary of correlations in previous studies. by Dan Kuang (136225)

    Published 2025
    “…The quantitative wastewater surveillance model offers a reliable means of estimating the number of infected individuals, which can be instrumental in informing policy decisions.…”
  18. 1798

    The characteristics of nine WWTPs. by Dan Kuang (136225)

    Published 2025
    “…The quantitative wastewater surveillance model offers a reliable means of estimating the number of infected individuals, which can be instrumental in informing policy decisions.…”
  19. 1799
  20. 1800