Fundus images with glaucoma and glaucoma suspect through CLAHE with reverse polar transformation, GradCAM++ heatmap of ConvNeXt-S model trained on polar with “donut method”, attent... by Sirikorn Sangchocanonta (20917797)

Average wellness for matchday, MD by Ivan Baptista (5278874)

“…<div><p>Background</p><p>Exposure to match loads significantly affects physiological and psychological indicators and, consequently, players’ wellness. …”

Image 3_Prognostic significance of calcium-related genes in lung adenocarcinoma and the role of TNNC1 in macrophage polarization and erlotinib resistance.jpeg by Jian Feng (317890)

Table 1_Prognostic significance of calcium-related genes in lung adenocarcinoma and the role of TNNC1 in macrophage polarization and erlotinib resistance.xlsx by Jian Feng (317890)

Image 2_Prognostic significance of calcium-related genes in lung adenocarcinoma and the role of TNNC1 in macrophage polarization and erlotinib resistance.jpeg by Jian Feng (317890)

Image 1_Prognostic significance of calcium-related genes in lung adenocarcinoma and the role of TNNC1 in macrophage polarization and erlotinib resistance.jpeg by Jian Feng (317890)

Dynamic characteristics of (A) FIB and (B) PCT between the survival and deceased groups of SFTS patients with HLH. by Bo Zhang (6559)

Monthly trends in total hospital costs, patient cost-sharing, patient sharing ratio, length of stay and 30-day readmission rate. by Jinyuan Li (5927267)

597 SNPs for the candidate gene approach. by Dai Nogimura (21445649)

“…<div><p>Decreased nitric oxide (NO) production from the vascular endothelium is a major factor for vascular aging. …”

Definitions of traits for association analyses. by Dai Nogimura (21445649)

“…<div><p>Decreased nitric oxide (NO) production from the vascular endothelium is a major factor for vascular aging. …”

Age and sex distribution of the participants. by Dai Nogimura (21445649)

“…<div><p>Decreased nitric oxide (NO) production from the vascular endothelium is a major factor for vascular aging. …”

Preference for the EIA – conjoint results. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Sample attribute table. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Subgroup analysis – Political affiliation. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Sample scenario description. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

AMCEs – Pooled across scenarios. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Methodological flowchart. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Preference for the EIA vs. ETA across scenarios. by Mehdi Mourali (10170245)

“…Gender and social justice orientations also significantly predicted EIA support. Overall, findings demonstrate multidimensional drivers of algorithmic fairness attitudes, underscoring divisions around equality versus equity principles. …”

Certainty of affect predicted by positive and negative valence (study 2) Predicted certainty of knowing how you feel in a trial, as predicted by positive and negative valence ratin... by Anthony G. Vaccaro (5964368)