Live Fast, Die Young: Experimental Evidence of Population Extinction Risk due to Climate Change by Elvire Bestion (818248)

Supplementary Material for: Urine Metabolomics by ¹H-NMR Spectroscopy Indicates Associations between Serum 3,5-T₂ Concentrations and Intermediary Metabolism i... by Pietzner M. (4152400)

“…In detail, the odds for intermediate or suppressed serum 3,5-T₂ concentrations doubled owing to a 1-standard deviation (SD) decrease in urine trigonelline levels, or increased by 29-50% in relation to a 1-SD decrease in urine pyroglutamate, acetone and hippurate levels. …”

Image_1_β2-Adrenoceptor Deficiency Results in Increased Calcified Cartilage Thickness and Subchondral Bone Remodeling in Murine Experimental Osteoarthritis.tif by Gundula Rösch (11940632)

The effect of BMP-2 on type I collagen expression in HSFs. by Honghui Li (383749)

“…<p>The expression of type III collagen in HSFs after 3 days (A), 1 week (B) and 2 weeks (C). Lane 1-Untreated control, Lane 2–10 ng/ml BMP-2, Lane 3–50 ng/ml BMP-2, Lane 4–100 ng/ml BMP-2, Lane 5–10 ng/ml TGF-β1. …”

Pearson correlation between various aspects of selenocysteine insertion sequences from the seed alignment of Rfam family RF00031 [23]. by Evan Senter (110590)

“…Using the Monte Carlo algorithm, we determined the mean first passage time (MFPT), defined as the average taken over 50 runs, of the number of Monte Carlo steps taken to fold the empty structure into the MFE structure, where an absolute upper bound of 5 million steps was allowed in the simulation. …”

Monthly temperature changes during 1951–2002. by Evan H. Girvetz (256065)

Depth range modulation of ERP signals (Exp. 2). by Britta Graewe (332479)

Sequential broadside application of 100 µM FCCP at two separate regions in the same FDB fibre. by Joseph Bruton (635407)

“…Red vertical calibration bar in <b>A</b> represents 50 µm.</p>…”

HG module schematic. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Label data volume and label distribution. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

The structure of the context guided block. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

SEnet module. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

AC-LayeringNetV2 architecture module. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Cracks included in the dataset. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Loss function comparison plot. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Edge device performance benchmarking. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Typical error cases. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Computational efficiency comparison. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Energy landscapes of the model with and without descending loops. by Pantelis Leptourgos (9767840)

Backbone comparison in crack detection. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”