Sample scenario description. by Mehdi Mourali (10170245)

“…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. …”

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

“…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. …”

Methodological flowchart. by Mehdi Mourali (10170245)

“…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. …”

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

“…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. …”

Impact of endophytic fungi on hemp leaf water content, under non-stress, salinity and drought stress conditions. by Shasha Hu (5880887)

Impact of endophytic fungi on the concentration of malondialdehyde (MDA) in hemp leaves under non-stress, salinity and drought stress conditions. by Shasha Hu (5880887)

Impact of endophytic fungi on hemp leaf pigments, under non-stress, salinity and drought stress conditions. by Shasha Hu (5880887)

Impact of endophytic fungi on weight of hemp leaf, stem and root, under non-stress, salinity and drought stress conditions. by Shasha Hu (5880887)

Impact of endophytic fungi on soil humidity, under non-stress, salinity and drought stress conditions. by Shasha Hu (5880887)

Impact of endophytic fungi on the concentration of protoporphyrin (PPIX) and magnesium protoporphyrin (MGPP) in hemp leaves under non-stress, salinity and drought stress conditions... by Shasha Hu (5880887)

Impact of endophytic fungi on the expression patterns <i>CsNAC3</i> in hemp under non-stress, salinity and drought stress conditions. by Shasha Hu (5880887)

Vertebral cancellous tissueμCT parameters are not significantly affected by aging from 16 to 21 weeks, housing type, or microgravity. by Rukmani Cahill (20939813)

“…Nonsignificant trends implicate an effect of spaceflight reducing BV/TV, increasing DA, and reducing Tb.N. Data shown are the mean ±  standard deviation with a scatter plot (ns: non-significant). …”

Analyze data. by Xinhui Zhang (1624039)

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Mouse spinal cord injury strike parame. by Xinhui Zhang (1624039)

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NeuN expression and neuronal apoptosis in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Constructing the T10 spinal cord injury model. by Xinhui Zhang (1624039)

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Expression of NeuN and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Expression of IBA1 and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Statistically Significant Results for Heart Rate Variability (HRV) Indices with Judgment Variables as Covariates. by David Vagni (8060432)

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Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

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