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Author Baler, R.V.; Wijnhoven, I.B.; del Valle, V.I.; Giovanetti, C.M.; Vivanco, J.F.
Title Microporosity Clustering Assessment in Calcium Phosphate Bioceramic Particles Type
Year 2019 Publication Frontiers In Bioengineering And Biotechnology Abbreviated Journal Front. Bioeng. Biotechnol.
Volume 7 Issue 281 Pages 7 pp
Keywords calcium phosphate; bioceramic particle; microporosity; data mining; K-means clustering
Abstract There has been an increase in the application of different biomaterials to repair hard tissues. Within these biomaterials, calcium phosphate (CaP) bioceramics are suitable candidates, since they can be biocompatible, biodegradable, osteoinductive, and osteoconductive. Moreover, during sintering, bioceramic materials are prone to form micropores and undergo changes in their surface topographical features, which influence cellular physiology and bone ingrowth. In this study, five geometrical properties from the surface of CaP bioceramic particles and their micropores were analyzed by data mining techniques, driven by the research question: what are the geometrical properties of individual micropores in a CaP bioceramic, and how do they relate to each other? The analysis not only shows that it is feasible to determine the existence of micropore clusters, but also to quantify their geometrical properties. As a result, these CaP bioceramic particles present three groups of micropore clusters distinctive by their geometrical properties. Consequently, this new methodological clustering assessment can be applied to advance the knowledge about CaP bioceramics and their role in bone tissue engineering.
Address [Vallejos Baler, Raul; Irribarra del Valle, Victor; Vivanco, Juan F.] Adolfo Ibanez Univ, Fac Engn & Sci, Vina Del Mar, Chile, Email: juan.vivanco@uai.cl
Corporate Author Thesis
Publisher Frontiers Media Sa Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2296-4185 ISBN Medium
Area Expedition Conference
Notes WOS:000495370600001 Approved
Call Number UAI @ eduardo.moreno @ Serial 1062
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Author Garreton, M.; Sanchez, R.
Title Identifying an optimal analysis level in multiscalar regionalization: A study case of social distress in Greater Santiago Type
Year 2016 Publication Computers Environment And Urban Systems Abbreviated Journal Comput. Environ. Urban Syst.
Volume 56 Issue Pages 14-24
Keywords Spatial clustering; MAUP; Autocorrelation; Multicolinearity; Stopping rule; Data mining
Abstract Assembling spatial units into meaningful clusters is a challenging task, as it must cope with a consequential computational complexity while controlling for the modifiable areal unit problem (MAUP), spatial autocorrelation and attribute multicolinearity. Nevertheless, these effects can reveal significant interactions among diverse spatial phenomena, such as segregation and economic specialization. Various regionalization methods have been developed in order to address these questions, but key fundamental properties of the aggregation of spatial entities are still poorly understood. In particular, due to the lack of an objective stopping rule, the question of determining an optimal number of clusters is yet unresolved. Therefore, we develop a clustering algorithm which is sensitive to scalar variations of multivariate spatial correlations, recalculating PCA scores at several aggregation steps in order to account for differences in the span of autocorrelation effects for diverse variables. With these settings, the scalar evolution of correlation, compactness and isolation measures is compared between empirical and 120 random datasets, using two dissimilarity measures. Remarkably, adjusting several indicators with real and simulated data allows for a clear definition of a stopping rule for spatial hierarchical clustering. Indeed, increasing correlations with scale in random datasets are spurious MAUP effects, so they can be discounted from real data results in order to identify an optimal clustering level, as defined by the maximum of authentic spatial self-organization. This allows singling out the most socially distressed areas in Greater Santiago, thus providing relevant socio-spatial insights from their cartographic and statistical analysis. In sum, we develop a useful methodology to improve the fundamental comprehension of spatial interdependence and multiscalar self-organizing phenomena, while linking these questions to relevant real world issues. (c) 2015 Elsevier Ltd. All rights reserved.
Address [Garreton, Matias; Sanchez, Raimundo] Univ Adolfo Ibanez, Ctr Inteligencia Terr, Presidente Errazuriz 3485, Santiago, Chile, Email: matias.garreton@gmail.com;
Corporate Author Thesis
Publisher Elsevier Sci Ltd Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0198-9715 ISBN Medium
Area Expedition Conference
Notes WOS:000369208900002 Approved
Call Number UAI @ eduardo.moreno @ Serial 582
Permanent link to this record