Showing 35,101 - 35,120 results of 226,405 for search '(( a ((((larger decrease) OR (a decrease))) OR (linear decrease)) ) OR ( a large decrease ))', query time: 1.29s Refine Results
  1. 35101

    Clues for a defective immune regulation in TLT. by Olivier Thaunat (105213)

    Published 2013
    “…<p><b>A.</b> The percentage of CD86-expressing mature dendritic cells (OX62+ MHC II+) was measured in the three lymphoid organs (left panel). …”
  2. 35102

    Number and lifetime of spirals in the A excitation patterns. by Enid Van Nieuwenhuyse (4669237)

    Published 2017
    “…<p>The top panel illustrates the localization of the A excitation patterns in 2D parametric space. The colors correspond to the single cell simulations of [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0188867#pone.0188867.ref021" target="_blank">21</a>]: yellow denotes AP with complete repolarization, red denotes AP with EADs but where repolarization still appears and blue denotes AP where there is no repolarization and the AP oscillates around a higher equilibrium state. (1), (2) and (3) correspond to A excitation patterns for <i>G</i><sub><i>Kr</i></sub> equal to 0.1, 0.5 and 1.0 times default, respectively. …”
  3. 35103
  4. 35104
  5. 35105
  6. 35106

    A virtual reality learning framework for improving student engagement at a selected tertiary institution, Cape Town, South Africa by MARTHA HENDRIKA (MARITSA) Grewe (17475856)

    Published 2024
    “…</p><p dir="ltr">The research problem states that due to a lack of using emerging technology such as VR in teaching and learning, a decrease in student engagement levels is noted. …”
  7. 35107
  8. 35108

    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. …”
  9. 35109

    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. …”
  10. 35110

    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. …”
  11. 35111

    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. …”
  12. 35112

    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. …”
  13. 35113

    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. …”
  14. 35114

    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. …”
  15. 35115

    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. …”
  16. 35116

    Synthesis and Characterization of <i>meso</i>-Triarylsubporphyrins by Yuichi Takeuchi (189169)

    Published 2007
    “…The synthesis of several <i>meso</i>-triaryl-subporphyrins, based on utilizing tripyrrolylborane as a precursor in a reaction with arylaldehydes (where aryl = phenyl, 4- and 3-pyridyl, tolyl, 4-methoxyphenyl, and 4-(trifluoromethyl)phenyl) under reflux in propionic acid, is reported. …”
  17. 35117

    Synthesis and Characterization of <i>meso</i>-Triarylsubporphyrins by Yuichi Takeuchi (189169)

    Published 2007
    “…The synthesis of several <i>meso</i>-triaryl-subporphyrins, based on utilizing tripyrrolylborane as a precursor in a reaction with arylaldehydes (where aryl = phenyl, 4- and 3-pyridyl, tolyl, 4-methoxyphenyl, and 4-(trifluoromethyl)phenyl) under reflux in propionic acid, is reported. …”
  18. 35118

    Metronidazole-treated <i>Tg(Inta11:NTR)</i> larvae show defects in median fin fold mesenchyme migration, a reduction in median and pectoral fin fold size and a reduction in endoske... by Robert L. Lalonde (4840260)

    Published 2018
    “…Inta11: NTR + MTZ larvae show a decrease in pectoral fin fold area at 72hpf, and 7dpf, as well as a reduction in endoskeletal disc size at 7dpf (J). …”
  19. 35119

    Data from: Quantifying seed rain patterns in a remnant and a chronosequence of restored tallgrass prairies in north central Missouri by Katherine Wynne (22078346)

    Published 2025
    “…We further found that decreases in seed rain quantity across the chronosequence did not correspond with increases in seed mass, suggesting a lack of tradeoffs between these metrics. …”
  20. 35120

    Supplementary Material for: Participant characteristics associated with changes in mental health in a trial of behavioural weight management programmes: Secondary analysis of the W... by Jones R.A. (12411430)

    Published 2022
    “…Measurement of depression and anxiety at the start of a behavioural weight management programme and subsequent monitoring may facilitate timely psychological support if a deterioration in mental health is identified. …”