يعرض 2,461 - 2,480 نتائج من 9,427 نتيجة بحث عن 'significantly ((((((teer decrease) OR (linear decrease))) OR (we decrease))) OR (mean decrease))', وقت الاستعلام: 0.59s تنقيح النتائج
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    Prescription data. حسب Dainty Ei (22265317)

    منشور في 2025
    "…Despite less restrictive measures in the first stage of the pandemic, Sweden experienced significant mental health consequences and changes in psychotropic medication prescribing.…"
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    Comparison of absolute and relative errors. حسب Lahoucine Tadoummant (21647670)

    منشور في 2025
    "…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …"
  12. 2472

    Rate of convergence for relative errors. حسب Lahoucine Tadoummant (21647670)

    منشور في 2025
    "…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …"
  13. 2473

    Ultrafine Particulate Matter Exacerbates the Risk of Delayed Neural Differentiation: Modulation Role of METTL3-Mediated m<sup>6</sup>A Modification حسب Rui Wang (52434)

    منشور في 2025
    "…By employing <i>N</i>6-methyladenosine (m<sup>6</sup>A) methylated RNA immunoprecipitation sequencing and bioinformatics, we identified <i>Zic1</i> as a key target of PM<sub>0.1</sub>-induced developmental disturbances. …"
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    A Comparison of Pediatric Prehospital Opioid Encounters and Social Vulnerability حسب Stephen Sandelich (19991783)

    منشور في 2024
    "…The analysis demonstrated that as socioeconomic status (SES) improves, the likelihood of opioid-related activations increases significantly supported by a significant negative linear trend (Estimate = −0.2971, SE = 0.1172, z = −2.54, <i>p</i> = 0.0112. …"
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    Complexity comparison of different models. حسب Li Yuan (102305)

    منشور في 2025
    "…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"