Supplementary Material for: Diverse Obesity Trajectories in a Family including Identical Twins with a Pathogenic MC4R Variant by figshare admin karger (2628495)

“…Introduction: Pathogenic heterozygous melanocortin-4 receptor (MC4R) variants are the most common cause of monogenic obesity, affecting central satiety and appetite regulatory areas of the brain. Case Presentations: We report a pedigree with a pathogenic MC4R variant (c.380C>T, p.Ser127Leu). …”

Inhibition of lysosomal activity causes memory impairment. by Tong Yue (6033305)

“…<p><b>(A)</b>Heatmap of significantly down-regulated genes associated with the lysosomal signaling pathway between ND and HFD. …”

Image 1_Yacon root is a functional food beneficial for human health: a meta-analysis of clinical trials.pdf by Ling-Hui Pan (9341084)

“…This study aims to evaluate the effects of YR on human health through clinical trials to determine whether YR can be classified as a functional food. We systematically searched PubMed, Cochrane Library, Springer, and Web of Science for clinical outcomes related to YR from 2000 to 2025. …”

HFD impairs autophagic activity in fly brains. by Tong Yue (6033305)

Antibodies information. by Xin Zhang (35492)

“…It has been reported that GsMTx-4, a specific blocker of the mechanosensitive ion channels Piezo1, can protect the integrity of the neuromuscular junction and promote nerve regeneration, and thus has the potential as a therapeutic agent for SCI. …”

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. …”

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. …”