Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
6281
-
6282
-
6283
-
6284
-
6285
The expression of irisin, NLRP3 and inflammation-related factors in C2C12 cells.
Published 2025Subjects: -
6286
-
6287
-
6288
-
6289
-
6290
-
6291
-
6292
-
6293
-
6294
-
6295
Experimental design of this study.
Published 2024“…In fact, naive old males exhibited significantly higher paternity success compared with old males who had previously mated. …”
-
6296
All relevant data of this study.
Published 2024“…In fact, naive old males exhibited significantly higher paternity success compared with old males who had previously mated. …”
-
6297
-
6298
Preference for the EIA – conjoint results.
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. …”
-
6299
Marginal means – Pooled across scenarios.
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. …”
-
6300
Sample attribute table.
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. …”