Topological-skeleton controlled chirality expression of supramolecular hyperbranched and linear polymers by Xin Song, Xuefeng Zhu, Hao Yao, Weili Shang, Cong Du, Wensheng Lu, Minghua Liu, Wei Tian

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Automation of intercept method for grain size measurement: A topological skeleton approach by Xiang Li, Linyi Cui, Jikang Li, Ying Chen, Wei Han, Sara Shonkwiler, Sara McMains

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Wall Shear Stress Topological Skeleton Analysis in Cardiovascular Flows: Methods and Applications by Valentina Mazzi, Umberto Morbiducci, Karol Calò, Giuseppe De Nisco, Maurizio Lodi Rizzini, Elena Torta, Giuseppe Carlo Alp Caridi, Claudio Chiastra, Diego Gallo

“…A marked interest has recently emerged regarding the analysis of the wall shear stress (WSS) vector field topological skeleton in cardiovascular flows. Based on dynamical system theory, the WSS topological skeleton is composed of fixed points, i.e., focal points where WSS locally vanishes, and unstable/stable manifolds, consisting of contraction/expansion regions linking fixed points. …”
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Effect of coronary artery dynamics on the wall shear stress vector field topological skeleton in fluid–structure interaction analyses by Harry J. Carpenter, Mergen H. Ghayesh, Anthony C. Zander, Peter J. Psaltis

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Wall shear stress and its role in atherosclerosis by Manli Zhou, Yunfeng Yu, Yunfeng Yu, Ruiyi Chen, Xingci Liu, Xingci Liu, Yilei Hu, Zhiyan Ma, Lingwei Gao, Weixiong Jian, Weixiong Jian, Liping Wang

“…The complex blood flow in arteries forms rich WSS vectorial features, including the newly proposed WSS topological skeleton to identify and classify the WSS fixed points and manifolds in complex vascular geometries. …”
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A Topology Based Automatic Registration Method for Infrared and Polarized Coupled Imaging by Aiqi Zhong, Qiang Fu, Danfei Huang, Kang Zong, Huilin Jiang

“…Subsequently, the registration control points are extracted based on the target topology skeleton, which can break through the limitation of feature differences, improve the robustness of the algorithm to target transformation, and realize the automatic registration of multi-source images.…”
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Detecting geospatial patterns of Plasmodium falciparum parasite migration in Cambodia using optimized estimated effective migration surfaces by Li, Y, Shetty, AC, Lon, C, Spring, M, Saunders, DL, Fukuda, MM, Hien, TT, Pukrittayakamee, S, Fairhurst, RM, Dondorp, AM, Plowe, CV, O'Connor, TD, Takala-Harrison, S, Stewart, K

“…<p>Methods</p> The optimal density of EEMS grids was determined based on a new workflow created using density clustering to define genomic clusters and the spatial distance between genomic clusters. Topological skeletons were used to capture the spatial distribution for each genomic cluster and to determine the EEMS grid density; i.e., both genomic and spatial clustering were used to guide the optimization of EEMS grids. …”