Table 2 - by Rosanna Mary Rooney (17595801)

“…<div><p>Background</p><p>Evidence indicates that criminal behaviour in youth is linked with a range of negative physical, mental, and social health consequences. Despite a global decrease over the last 30 years, youth crime remains prevalent. …”

Preference for the EIA – conjoint results. 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. …”

Marginal means – 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. …”

Sample attribute table. 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. …”

Subgroup analysis – Political affiliation. 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. …”

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. …”

Conceptual framework to guide the study. by Resham B. Khatri (10949429)

“…</p><p>Results</p><p>Results showed low completion rates (59%) of all three maternity care visits and significant discontinuity of care throughout the maternity continuum (82% 4ANC, and 73% PNC visits). …”

Population dynamics reflect intention-action binding. by Jean-Paul Noel (3072192)

Table 1_Association of serum iron with all-cause mortality and cardiovascular mortality in the cardiovascular patients: a retrospective cohort study based on the NHANES 1999–2018.d... by Jing Lu (120666)

“…</p>Conclusion<p>Higher SI is associated with a decreased risk of all-cause and cardiovascular mortality in CVD patients. …”

all_calculations_complete.zip by Congqing Yang (20554157)

Effects of receptor blockers on VO-induced hypertrophy in published experiments and the calibrated model. by Johane H. Bracamonte (12883844)

Validation of model predictions of growth during infusion of hypertrophic agonists with and without receptor blockers. by Johane H. Bracamonte (12883844)

Table 1_Association between serum anion gap trajectory and mortality in hospitalized patients with sepsis: an analysis of the MIMIC-IV database.docx by Lijuan Jing (20431757)

“…This study explored the link between dynamic AG trajectories and all-cause mortality in critically ill septic patients.…”

Dopamine receptors D1, D2, and D4 modulate electrical synapses and excitability in the thalamic reticular nucleus supplementary table by Mitchell Vaughn (19871487)

Excel data extraction. by Berihun Agegn Mengistie (18781020)

“…Early detection and treatment of precancerous cervical lesions and human papillomavirus (HPV) infection are strongly advised to decrease the incidence of cervical cancer and death. …”

Greening Fine Chemical Production via Continuous Flow Technology: An LCA-TEA-SA Integrated Assessment of <i>p</i>‑Nitrobenzoic Acid by Chen Feng (298683)

“…To address the gap, we developed a model by integrating green chemistry efficiency assessments, life cycle environment-economy-safety evaluations, and scale effects. …”

Greening Fine Chemical Production via Continuous Flow Technology: An LCA-TEA-SA Integrated Assessment of <i>p</i>‑Nitrobenzoic Acid by Chen Feng (298683)

“…To address the gap, we developed a model by integrating green chemistry efficiency assessments, life cycle environment-economy-safety evaluations, and scale effects. …”