يعرض 561 - 580 نتائج من 18,297 نتيجة بحث عن 'significant ((((gap decrease) OR (((mean decrease) OR (teer decrease))))) OR (a decrease))', وقت الاستعلام: 0.49s تنقيح النتائج
  1. 561
  2. 562
  3. 563
  4. 564

    Loss of MALS-1 function suppresses the mitochondrial and axon degeneration phenotypes that are caused by loss of RBM-26 function. حسب Tamjid A. Chowdhury (14149846)

    منشور في 2024
    "…For panel B, error bars represent the standard error of the mean (<i>n</i> = 25), and statistical significance was analyzed by one-way ANOVA with a Tukey post hoc test (*<i>p</i> < 0.05 and **<i>p</i> < 0.01). …"
  5. 565
  6. 566

    Overexpression of MALS-1 reduces mitochondria in the PLM axon and causes axon degeneration and axon overlap defects. حسب Tamjid A. Chowdhury (14149846)

    منشور في 2024
    "…For panels D and E, error bars represent the standard error of the proportion. Statistical significance in panel F was analyzed by Student’s <i>t</i> test, ***<i>p</i> < 0.0001 and error bars represent the standard error of mean. …"
  7. 567
  8. 568
  9. 569
  10. 570
  11. 571

    Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. حسب Michele Angelo Colombo (22446342)

    منشور في 2025
    "…<b>(E)</b> Following surgery, the PSD became steeper in the disconnected cortex, as indexed by a significant pre- to post-decrease in Spectral Exponent toward more negative values, observed in all patients (i.e., all negative post-pre differences for the disconnected cortex). …"
  12. 572
  13. 573
  14. 574

    Table 2 - حسب Rosanna Mary Rooney (17595801)

    منشور في 2024
    "…Despite a global decrease over the last 30 years, youth crime remains prevalent. …"
  15. 575
  16. 576

    Preference for the EIA – conjoint results. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  17. 577

    Sample attribute table. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  18. 578

    Subgroup analysis – Political affiliation. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  19. 579

    Sample scenario description. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  20. 580

    AMCEs – Pooled across scenarios. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"