Showing 281 - 300 results of 2,057 for search '(( significant gap decrease ) OR ( significant ((step decrease) OR (small decrease)) ))', query time: 0.48s Refine Results
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    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. …”
  3. 283

    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. …”
  4. 284

    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. …”
  5. 285

    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. …”
  6. 286

    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. …”
  7. 287

    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. …”
  8. 288

    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. …”
  9. 289

    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. …”
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  18. 298

    One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer by Junseo Gu (20666925)

    Published 2025
    “…In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
  19. 299

    One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer by Junseo Gu (20666925)

    Published 2025
    “…In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
  20. 300

    Advanced experimental investigation of explosive characteristics in premixed syngas/air mixtures using a narrow gap disk burner by Mingzhao Wang (2956800)

    Published 2025
    “…The results show that the folding of the flame front is enhanced as the Φ decreases. However, the change in fold degree is negligible when the Φ decreases from 1.6 to 1.2. …”