Showing 6,381 - 6,400 results of 18,086 for search '(( significant linear decrease ) OR ( significant ((a decrease) OR (step decrease)) ))', query time: 0.80s Refine Results
  1. 6381

    The study flowchart. by Yuko Noda (20396439)

    Published 2024
    “…The short-term cohort had 23 intervention and 29 control participants, while the long-term cohort had 35 and 22, respectively. There was a significant improvement in non-HDL-C levels in the short-term intervention group compared to the control group. …”
  2. 6382

    Flow chart of the study design. by Ramita Gupta (21512558)

    Published 2025
    “…Goalkeepers showed modest, non-significant improvements. Significant positional differences were identified for VJH and power output (p < 0.001).…”
  3. 6383
  4. 6384

    Typical structure of a centrifugal nozzle [25]. by Yanyu Cui (19173181)

    Published 2025
    “…As temperature rises from 0°C to 50°C, liquid film thickness decreases, with a reduction of 14.6% for low-blending fuel and 52.8% for high-blending fuel.…”
  5. 6385

    <b>Sex-specific anti-inflammatory effects of a ketogenic diet in a mouse model of allergic airway inflammation</b> by Carolyn Ekpruke (17014107)

    Published 2024
    “…Results revealed significant sex-diet interactions in lung immune cell populations, with males showing greater reductions in eosinophils, increased NKT cells, and decreased NK cells. …”
  6. 6386
  7. 6387

    Experimental design of this study. by Renya Kawakami (20469088)

    Published 2024
    “…However, only a few studies that investigated influences of male aging as well as male mating experience on their post-copulatory sexual selection. …”
  8. 6388

    All relevant data of this study. by Renya Kawakami (20469088)

    Published 2024
    “…However, only a few studies that investigated influences of male aging as well as male mating experience on their post-copulatory sexual selection. …”
  9. 6389
  10. 6390

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

    Published 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. …”
  11. 6391

    Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

    Published 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. …”
  12. 6392

    Sample attribute table. by Mehdi Mourali (10170245)

    Published 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. …”
  13. 6393

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

    Published 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. …”
  14. 6394

    Sample scenario description. by Mehdi Mourali (10170245)

    Published 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. …”
  15. 6395

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

    Published 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. …”
  16. 6396

    Methodological flowchart. by Mehdi Mourali (10170245)

    Published 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. 6397

    Preference for the EIA vs. ETA across scenarios. by Mehdi Mourali (10170245)

    Published 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. 6398

    Baseline characteristics. by Seung Min Lee (1644409)

    Published 2025
    “…Such a change was relevant to the improvement in BCVA, but not metamorphopsia.…”
  19. 6399

    Data file used in this study. by Seung Min Lee (1644409)

    Published 2025
    “…Such a change was relevant to the improvement in BCVA, but not metamorphopsia.…”
  20. 6400

    Changes in foveal location after surgery. by Seung Min Lee (1644409)

    Published 2025
    “…Such a change was relevant to the improvement in BCVA, but not metamorphopsia.…”