بدائل البحث:
significantly reduce » significantly reduced (توسيع البحث), significantly greater (توسيع البحث), significantly enhance (توسيع البحث)
reduce decrease » reduce disease (توسيع البحث), reduce depressive (توسيع البحث), induces decreased (توسيع البحث)
gap decrease » a decrease (توسيع البحث), gain decreased (توسيع البحث), mean decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
significantly reduce » significantly reduced (توسيع البحث), significantly greater (توسيع البحث), significantly enhance (توسيع البحث)
reduce decrease » reduce disease (توسيع البحث), reduce depressive (توسيع البحث), induces decreased (توسيع البحث)
gap decrease » a decrease (توسيع البحث), gain decreased (توسيع البحث), mean decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
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EF-24 treatment significantly reduces cell viability in leukemia cell lines.
منشور في 2025الموضوعات: -
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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses
منشور في 2025"…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …"
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Effect of the smoking factor on lung function parameters (FVC, FEV1, PEF, FEF 25_75).
منشور في 2025الموضوعات: -
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Preference for the EIA – conjoint results.
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. …"
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Marginal means – Pooled across scenarios.
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. …"
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Sample attribute table.
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. …"