Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Data Sheet 5_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.csv by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Data Sheet 2_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.csv by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Image 4_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.tif by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Image 3_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.tif by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Data Sheet 1_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.csv by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Image 1_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.tif by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Image 2_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.tif by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Data Sheet 4_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.csv by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Data Sheet 3_Liver X receptor agonist T0901317 alleviates sepsis-induced acute lung injury by enhancing macrophage autophagy.csv by Ben Wang (250897)

“…Analysis of the human transcriptome data revealed a significant negative correlation between LXRα and S100A8 (R = −0.98, p < 0.001).…”

Identifying optimal cluster numbers in hierarchical cluster analysis. by Dolores Bernenko (16528426)

Participants inclusion and exclusion criteria. by L. Cinnamon Bidwell (7069772)

“…<div><p>Background</p><p>As cannabis legalization continues to spread across the United States, average Δ⁹-tetrahydrocannabinol concentrations in recreational products have significantly increased, and no prior study has evaluated effective treatments to reduce cannabis use among high potency cannabis users. …”

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Estimating RSA Variability across Treatment, Time, and Condition. by Hikari Otsuka (18605246)

DoLP characterization of clustering results. by Dolores Bernenko (16528426)

Identification of Key Genes. by Chen Wang (88408)

Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Space-to-depth convolution. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data augmentation. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Side angle tea picking. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”