Multivariable analysis between 2006 and 2018. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

Variables influencing the risk of consultation (details available in by Luther Dogbla (21410142)

General characteristics of study subjects. by Soo-Hee Hwang (17767519)

“…COVID-19 did not affect inpatient mortality (p = 0.9608), but in-hospital mortality decreased from 12% to 7% in the medical aid group.</p><p>Conclusion</p><p>Overall, we found that COVID-19 had an impact on admission rates of patients with AMI but did not have a significant impact on in-hospital mortality. …”

GluA1 promotes opioid use by Yuan-Yuan Hou (11896051)

“…In rats with steady MSA, the protein level of GluA1 subunits of glutamate AMPA receptors (AMPARs) was significantly increased, but that of GluA2 was decreased, resulting in an increased GluA1/GluA2 ratio in central nucleus of the amygdala (CeA). …”

Data Sheet 1_A home-based EEG neurofeedback treatment for chronic neuropathic pain—a pilot study.docx by Mohamed Sakel (9416397)

“…Mood scores showed a significant decrease in depression (p < 0.05), and pain catastrophizing (p < 0.05) scores improved significantly at post-intervention, with continued improvement at the first-month follow-up.…”

(a) Measuring device; (b) Measuring method. by Chenhao Li (822769)

“…Although increasing SHMP content improved the early strength, it led to a decrease in later strength, with the maximum late strength observed at 2% SHMP. …”

Data Sheet 1_Impact of a multifaceted intervention including a smart reminder system for intraoperative antibiotic re-dosing on surgical site infections in a Chinese tertiary care... by Cuiqiong Fan (17651671)

“…The proportion of intraoperative additional antibiotic administration also increased significantly (p = 0.003). Furthermore, the rate of SSIs decreased significantly after the intervention (p = 0.038).…”

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

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

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

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

<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. …”

(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)

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. …”

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

Supplementary Material for: Off-label Use of Mycophenolate Mofetil in Immunoglobulin A Nephropathy: A Systematic Review and Meta-analysis by Feng L. (5056958)

“…Introduction: Mycophenolate mofetil (MMF) is widely used off-label in patients with immunoglobulin A nephropathy (IgAN), although the literature does not consistently agree on its efficacy and safety. …”

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. …”