The flow of the participants from enrollment to analysis. حسب Soheila Qanbari (20455173)

الموضوعات:

Correlation between treatment-induced changes in lumbar motor control and N150 amplitude. حسب Soheila Qanbari (20455173)

الموضوعات:

Sensory-evoked potentials of N80 and N150. حسب Soheila Qanbari (20455173)

الموضوعات:

The mean and standard deviation of outcome measures. حسب Soheila Qanbari (20455173)

الموضوعات:

The demographical and clinical characteristics of subjects at baseline. حسب Soheila Qanbari (20455173)

الموضوعات:

Electrode montage and electric field distribution simulated with SimNIBS software. حسب Soheila Qanbari (20455173)

الموضوعات:

Simulations show that microSLAM improves power and false positive rates. حسب Miriam Goldman (21433180)

Stratification of cortisol and prolactin concentration by gravidity in peripheral blood and umbilical blood at delivery. حسب Francois Kiemde (5369657)

الموضوعات:

Cortisol and prolactin concentration in non-pregnant women. حسب Francois Kiemde (5369657)

الموضوعات:

Interplay or correlation of cortisol on prolactin during pregnancy. حسب Francois Kiemde (5369657)

الموضوعات:

Dynamics of cortisol levels measured in pregnant women during pregnancy determined at different ANC visits. حسب Francois Kiemde (5369657)

الموضوعات:

Cortisol and prolactin concentration in peripheral blood and umbilical cord blood at delivery. حسب Francois Kiemde (5369657)

الموضوعات:

Malaria infection by gestation and gestational age. حسب Francois Kiemde (5369657)

الموضوعات:

Interplay or correlation of prolactin on cortisol during pregnancy. حسب Francois Kiemde (5369657)

الموضوعات:

Dynamic of prolactin in pregnant women during pregnancy. حسب Francois Kiemde (5369657)

الموضوعات:

The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing حسب Justin Erasmus (8702619)

"…</p><p dir="ltr">An 18- and a 19-year-old spacing experiment with four levels of initial tree spacing (1.83 m × 1.83 m, 2.35 m × 2.35 m, 3.02 m × 3.02 m and 4.98 m × 4.98 m) were sampled. Linear and non-linear mixed-effects models were developed to examine the effect of tree spacing on the quality of wood and lumber as defined by the modulus of elasticity, modulus of rupture and knot frequency of 208 boards and the ring-level microfibril angle and wood density of 86 radial strips.…"

Preference for the EIA – conjoint results. حسب 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. حسب 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. حسب 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. حسب 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. …"