Influence of Shape Parameters on the Compressive Performance of the Specimens. by Nan Ru (9594384)

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Schematic diagram of the extension of vertices of large and small polygons. by Nan Ru (9594384)

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Specimen for the splitting test. by Nan Ru (9594384)

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The influence of angularity on the splitting resistance performance of the specimens. by Nan Ru (9594384)

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Example Diagram. by Nan Ru (9594384)

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Influence of Shape Parameters on the Splitting Resistance Performance of the Specimens. by Nan Ru (9594384)

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Aggregate Measurement Image in IPP. by Nan Ru (9594384)

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Influence of the Roundness Ratio on the Compressive Performance of the Specimens. by Nan Ru (9594384)

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Internal changes of the specimen of 0.89 to 1. by Nan Ru (9594384)

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B Cells and Ectopic Follicular Structures: Novel Players in Anti-Tumor Programming with Prognostic Power for Patients with Metastatic Colorectal Cancer by Anastasia Meshcheryakova (573898)

“…Given the multifaceted roles of B-cell-driven responses, we aimed to elucidate the immunological imprint of B lymphocytes at the metastatic site, the interrelation with macrophages, and their prognostic relevance. Here we present novel algorithm allowing to assess a link between the local patient-specific immunological capacity and clinical outcome. …”

Data Sheet 1_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 2_Calculating 3D rugosity maps for complex habitat scans.zip by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 6_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 4_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Video 1_Calculating 3D rugosity maps for complex habitat scans.mp4 by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 5_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 3_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”