SI Figure 1- uncropped western blots by Renata Goncalves (15806162)

Subjects:

Preference for the EIA – conjoint results. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Sample attribute table. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Subgroup analysis – Political affiliation. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Sample scenario description. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

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

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Methodological flowchart. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

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

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Correlation analysis, Data show only the values of the correlations that were significant (p < 0.05). by Glaucia Vilar-Pereira (686134)

a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using syst... by Iva Milinkovic (22331710)

Subjects:

Information of QTL interval and lead SNP significantly associated with meat color in fast-growing white-feathered chickens. by Jiahong Sun (6497603)

MXene/Bi₂O₃ Nanocomposites as Supercapacitors for Portable Electronic Devices by Nanasaheb M. Shinde (8560572)

Subjects:

Certainty of affect predicted by positive and negative valence (study 2) Predicted certainty of knowing how you feel in a trial, as predicted by positive and negative valence ratin... by Anthony G. Vaccaro (5964368)

Co-localization of MMP13 with DCLK1 in various models of colitis. by Kafayat Yusuf (22104155)

The results of mediating mechanism test. by Le Zhu (1771669)

Subjects:

Balance test results. by Le Zhu (1771669)

Subjects:

Variables. by Le Zhu (1771669)

Subjects:

Results of the parallel trend test. by Le Zhu (1771669)

Subjects:

Results of the exclusion of other policies. by Le Zhu (1771669)

Subjects: