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. …”

Flowchart of Methodology. by Kamal Hossain (331680)

“…</p><p>Results</p><p>Dengue cases in Bangladesh exhibited a significant increase from 2019 to 2023 (excluding 2020 data), with a cumulative total of 513,344 reported cases. …”

A reas of actual and simulated LULC in 2023. by Firdissa Sadeta Tiye (21222102)

“…The analysis revealed significant LULC changes in BMNP, from 1993 to 2023, primarily due to anthropogenic activities, with further changes anticipated between 2023 and 2053.The results showed a notable increase in woodland and shrubs at the expense of grassland and Erica forest. …”

Knockdown of <i>atg1</i> in DPM neurons causes memory loss. by Tong Yue (6033305)

n-fold cross-validation and predictor for the δ³⁴S random forest regression model: A) Observed and predicted δ³⁴S isotope values. by Borja González-Rabanal (22138847)

Mediating effect of sexual interest in a sibling. by Kelly M. Babchishin (7384031)

“…Instead, constant proximity was related to a decreased chance that sibling incest had occurred, through its relationship with sexual interest in a sibling.…”

DMSO induces a reduction in somite’s size. by Geyse Gomes (22075629)

“…Somites’ thickness significantly decreases after treatment with 2%, 3% and 4% DMSO (D). ns = non-significant. …”

Telomere length (TL) in maternal blood samples. by Océane Coudrieu (21672861)

“…<p>A. Age-dependent decrease in the leukocyte TL in the control groups of the study, comparing pregnant and non-pregnant women. …”

Soluble average Klotho level as a prognostic marker for acute kidney injury outcomes: a 90-day follow-up study by ShaSha Li (12163175)

“…Individuals with AKI were prospectively followed up for 90 days to determine the association between their average sKlotho level and short-term AKI outcomes. Interestingly, we found that sKlotho value was significantly decreased and an alteration in the sKlotho level ran parallel to changes in kidney function in AKI patients. …”

Data collection performance for a single round. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Typical structure of a centrifugal nozzle [25]. by Yanyu Cui (19173181)

“…As temperature rises from 0°C to 50°C, liquid film thickness decreases, with a reduction of 14.6% for low-blending fuel and 52.8% for high-blending fuel.…”

Patients’ responses to EQ5-D items. by Walid Al-Qerem (3760027)

“…Moreover, patients with only an elementary education had significantly lower EQ5-D scores compared to those with a postgraduate education (-0.106, 95%CI (-0.190, -0.023), p = 0.013).…”

IFN-γ and several PARP genes are upregulated in infected olfactory bulbs of JHMV infected mice. by Catherine M. Kerr (21492574)

Effects of the DCL on the number of categorized 50-kHz USVs induced by rhythmic stroking. by Rie Shimoju (20940045)

Table_1_A causal association between obesity and constipation: a two-sample bidirectional Mendelian randomization study and meta-analysis.XLSX by Xian Sun (655494)

“…Therefore, we conducted a Mendelian randomization (MR) study and meta-analysis to assess the causal relationship between obesity and the risk of constipation.…”

Assembly error angle of a single spline. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”