<b>Sex-specific anti-inflammatory effects of a ketogenic diet in a mouse model of allergic airway inflammation</b> by Carolyn Ekpruke (17014107)

“…Results revealed significant sex-diet interactions in lung immune cell populations, with males showing greater reductions in eosinophils, increased NKT cells, and decreased NK cells. …”

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

Supplementary file 1_Effects of a personalized PERMA-based intervention on the mental health of junior high school students: a randomized clinical trial.docx by Lei Zhang (38117)

“…No significant changes were observed in coping styles, though slight improvements in positive coping tendency (from −0.02 to −0.13) and a slight decrease in negative coping tendency (from −0.02 to −0.01).…”

Table 1_Managing lorlatinib-induced weight gain through a structured exercise intervention in an ALK+ NSCLC patient: a case report.docx by Christian Ciurnelli (20548178)

“…Background<p>In non-small cell lung cancer (NSCLC), ALK tyrosine kinase inhibitors (TKIs) have been associated with significant weight gain, predominantly in fat tissues. …”

Experimental design of this study. by Renya Kawakami (20469088)

“…However, only a few studies that investigated influences of male aging as well as male mating experience on their post-copulatory sexual selection. …”

All relevant data of this study. by Renya Kawakami (20469088)

“…However, only a few studies that investigated influences of male aging as well as male mating experience on their post-copulatory sexual selection. …”

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. …”

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. …”

Baseline characteristics. by Seung Min Lee (1644409)

“…Such a change was relevant to the improvement in BCVA, but not metamorphopsia.…”

Data file used in this study. by Seung Min Lee (1644409)

“…Such a change was relevant to the improvement in BCVA, but not metamorphopsia.…”

Changes in foveal location after surgery. by Seung Min Lee (1644409)

“…Such a change was relevant to the improvement in BCVA, but not metamorphopsia.…”

Data Sheet 1_Metabolic adaptation fluctuates with different prediction equations: a secondary analysis based on a weight-loss clinical trial.docx by Molian Tang (18876955)

“…Both Katch-McArdle-determined RMR and BIA-determined RMR presented a significant decrease between baseline and the end of the intervention (week 16). …”

General participant characteristics. by Josephine Grandt (21512356)

“…GOBP analyses revealed an increase in pro-inflammatory and pro-fibrotic genes in NAFLD and cirrhosis, as well as a decrease in genes related to metabolism. Data were made browsable using two web-based apps. …”

Prediction plots showing (A) the increase of the rodent flea abundance was mostly likely influenced by species identity: <i>Xenopsylla brasilliensis, Pulex irritans</i>, and <i>Din... by Stella T. Kessy (18700173)

Data Sheet 1_The TFRC as a prognostic biomarker and potential therapeutic target in cervical cancer: a preliminary study.docx by Jing Wang (6206297)

“…We constructed a nomogram model, TFRC contributed significantly to the prognosis and exhibited good predictive power for the OS and the DSS. …”