Kaplan-Meier plot. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Characteristics of the study sample. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Multivariate associations with incident leprosy. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Univariate associations with incident leprosy. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Effect of the POM cycles on selected metabolites. by Bonnie A. McNeil (22331601)

Data_Sheet_1_Effects of a 30-min rest with a nap chair on task performance, sleepiness, and neurophysiological measures in men with suspected brain fatigue: a randomized controlled... by Minoru Fujino (12742196)

“…The Karolinska Sleepiness score significantly decreased after the nap-chair rest, and the between-treatment difference in the decrease was highly significant (P = 0.0004). …”

Transient suppression of autophagy in neurons impairs ITM. by Tong Yue (6033305)

Data from: Quantifying seed rain patterns in a remnant and a chronosequence of restored tallgrass prairies in north central Missouri by Katherine Wynne (22078346)

“…</p> <p><em>Synthesis and Applications</em>: Our results revealed that grasslands, notably young prairies, produce larger quantities of seed rain than previously known (124,806 seeds m^-2 year ^–1, 97.24 g m^-2 year ^–1), and seed input in all sampled prairies far exceeded restoration broadcast seeding densities. We further found that decreases in seed rain quantity across the chronosequence did not correspond with increases in seed mass, suggesting a lack of tradeoffs between these metrics. …”

(a) The impact of changing the epoch at which the proximity factor for infection clusters is activated on the validation infection coverage and <i>F</i>₁ measure. by Ibrahim Almakky (22530341)

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. …”