Flexible, Suturable, and Leak-free Scaffolds for Vascular Tissue Engineering Using Melt Spinning by Julia Fernández-Pérez (16649098)

“…Our study shows a one-step fabrication for ECM-mimicking scaffolds with good handleability, leak-free property, and suturability; the excellent biocompatibility allowed the growth of a bilayered construct. …”

Flexible, Suturable, and Leak-free Scaffolds for Vascular Tissue Engineering Using Melt Spinning by Julia Fernández-Pérez (16649098)

“…Our study shows a one-step fabrication for ECM-mimicking scaffolds with good handleability, leak-free property, and suturability; the excellent biocompatibility allowed the growth of a bilayered construct. …”

Flexible, Suturable, and Leak-free Scaffolds for Vascular Tissue Engineering Using Melt Spinning by Julia Fernández-Pérez (16649098)

“…Our study shows a one-step fabrication for ECM-mimicking scaffolds with good handleability, leak-free property, and suturability; the excellent biocompatibility allowed the growth of a bilayered construct. …”

Flexible, Suturable, and Leak-free Scaffolds for Vascular Tissue Engineering Using Melt Spinning by Julia Fernández-Pérez (16649098)

“…Our study shows a one-step fabrication for ECM-mimicking scaffolds with good handleability, leak-free property, and suturability; the excellent biocompatibility allowed the growth of a bilayered construct. …”

Table_2_Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients.docx by David Legouis (9767484)

“…AKI is a syndrome defined as a sudden decrease in glomerular filtration rate. …”

Table_1_Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients.docx by David Legouis (9767484)

“…AKI is a syndrome defined as a sudden decrease in glomerular filtration rate. …”

High-Throughput Fractionation Coupled to Mass Spectrometry for Improved Quantitation in Metabolomics by Tom van der Laan (9525694)

“…In comparison with a flow injection analysis without fractionation, ion suppression decreased from 89% to 25%, and the sensitivity was 21 times higher. …”

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. …”