Showing 4,461 - 4,480 results of 4,610 for search 'significant ((((((greatest decrease) OR (greater decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.60s Refine Results
  1. 4461

    Table 1_The relationship between positive future thinking, entrapment, defeat and death-related mental imagery in individuals with and without a suicidal history: an experimental s... by Gonca Köse (21477470)

    Published 2025
    “…Mean scores for PFT from pre-to post-negative mood induction decreased significantly in the participants with a history of suicidal thoughts/behaviours but not in those without a suicidal history. …”
  2. 4462
  3. 4463

    Data Sheet 1_Clinical pharmacist interventions in medication review for medication optimization in older hospitalized adults with mental disorders and somatic comorbidities: eviden... by Matej Stuhec (5643284)

    Published 2025
    “…</p>Results<p>The study included 100 inpatients with a mean age of 78.1 years (SD = 6.78). The total number of medications decreased by 6.6% (from 1,144 to 1,068; p < 0.001), with an acceptance rate of 59.2%. …”
  4. 4464

    Supporting Data for "Managing NPO-Funder Relations for Financial Sustainability: Insights from Social Service Nonprofits in China" by Shiqi Peng (11134716)

    Published 2025
    “…Second, informed by Resource Dependence Theory and Embeddedness Theory, a quantitative study (Chapter 3) uses a cross-sectional secondary dataset of 681 SSNs in China to examine the impact of SSN-funder relations on organizational financial sustainability. Results found that greater reliance on a dominant funder was significantly associated with lower revenue generation (β = -0.5, p < 0.05), reduced surplus retention (β =-0.7, p < 0.001), and decreased operational efficiency (β = -0.0, p < 0.001). …”
  5. 4465

    Flow Chart of the Study Steps. by Azam Hosseinpour (13434515)

    Published 2025
    “…The data were analyzed using descriptive tests (mean, standard deviation, and percentage) and analytical tests (including ANCOVA and Student T-test).…”
  6. 4466

    Global maximum GPP from 2001-2018 by Xu (7493744)

    Published 2025
    “…The GPPmax estimates from this study and the changes in their trends were highly correlated with GPPmax estimates from the vegetation photosynthesis model, with R2 > 0.70 for most vegetation types. The GPPmax significantly increased in western North America, northern Europe, and eastern China, but decreased in tropical regions. …”
  7. 4467

    VB2 cell fate analysis of <i>hlh-17</i>, <i>hlh-31</i>, and <i>hlh-32</i> mutant animals. by G. Robert Aguilar (13889674)

    Published 2025
    “…Error bars indicate standard deviation of the mean. ****<i>p</i> ≤ 0.0001, *<i>p</i> ≤ 0.05, ns: not significant. …”
  8. 4468

    Dupilumab improves sense of smell and clinical outcomes in patients with severe chronic rhinosinusitis with nasal polyps with anosmia by Andrew P. Lane (20367704)

    Published 2024
    “…<p>Loss of sense of smell is a cardinal symptom of chronic rhinosinusitis with nasal polyps (CRSwNP) and significantly impacts health-related quality-of-life. …”
  9. 4469

    Generated spline library. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  10. 4470

    Correlation coefficient matrix. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  11. 4471

    Actual measurement of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  12. 4472

    RMSE versus learning rate. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  13. 4473

    Long-term outcomes of refractory central venous occlusive disease treated by stent deployment in patients undergoing maintenance hemodialysis by Yuqin Xiong (14291305)

    Published 2025
    “…The number of secondary stenting procedures was significantly associated with decreased VA abandonment [odds ratio (OR) = 0.089, 95% confidence interval (CI): 0.008–0.992, <i>p</i> = 0.049] and all-cause mortality (OR = 0.104, 95% CI: 0.011–0.947, <i>p</i> = 0.045).…”
  14. 4474

    RMSE versus training parameters. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  15. 4475

    Assembly process of machine recognition form. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  16. 4476

    Data Sheet 1_Spatiotemporal dynamics and influencing factors of native and invasive saltmarshes in a rapidly silting bay during 1985–2023.docx by Mingshan Xu (15370147)

    Published 2025
    “…Results showed that native saltmarshes significantly decreased from 632.24 ha to complete disappearance, while S. alterniflora expanded from zero to 2872.90 ha in Yueqing Bay during 1985-2023. …”
  17. 4477

    Process of steel truss incremental launching. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  18. 4478

    CGAN and AutoML stacking device. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  19. 4479

    Comprehensive prediction process of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
  20. 4480

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

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”