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A comparison of hole-filling methods in 3D

24(4): 569-575. Dey, T., Giesen, J. and Hudson, J. (2001). Delaunay based shape reconstruction from large data, Proceedings of the IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics (PVG’01), San Diego, CA, USA, pp. 19-27. Dinh, H. and Turk, G. (2001). Reconstructing surfaces using anisotropic basis functions, Proceedings of the 2001 International Conference on Computer Vision (ICCV’01), Vancouver, British Columbia, Canada, pp. 606-613. Edelsbrunner, H. and Mücke, E. (1994). Three

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Providing Research Data Management (RDM) Services in Libraries: Preparedness, Roles, Challenges, and Training for RDM Practice

curation Organization type ● Metadata ● Academic versus non-academic ● Protocol documentation Level of preparedness ● Data sharing and dissemination ● Prepared versus unprepared ● Data preservation Role development ● Data visualization ● Five-point scale development level from not developed to very developed RDM tools ● Electronic lab notebooks ● Data citation manager ● DR ● Data search engine ● Data processing software (R, Python, etc.) ● Preprints Challenges

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A thematic cartographic visualization of a small region, based on the example of the Mrozy Commune

Mrozy. The second part of this article involves the assessment of the collected data. The data was checked in terms of completeness (it turned out that some of the data was lacking), topicality, details (the Mrozy commune is a small area), and usefulness for map design (the data deemed useful for visualization, was data with a spatial reference). A database was developed for the purposes of spatial data visualization. The data in this database was coded, generalized, and described. Furthermore, the database can be updated and expanded as needed. The next stage was

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A Review of Feature Selection and Its Methods

, Vol. 5 , July 1994, No 4, pp. 537-550. 44. Yang, H. H., J. Moody. Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. – In: In Advances in Neural Information Processing Systems, 1999, pp. 687-693. 45. Meyer, P. E., G. Bontempi. On the Use of Variable Complementarity for Feature Selection in Cancer Classification. – In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3907 . LNCS, Springer, Berlin, Heidelberg, 2006, pp. 91-102. 46

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RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release

and adaptive networks. Technical report, Royal Signals and Radar Establishment Malvern (United Kingdom), 1988. [20] Andreas Buja, Dianne Cook, and Deborah F. Swayne. Interactive high-dimensional data visualization. Journal of computational and graphical statistics , 5(1):78–99, 1996. [21] Mark Bun, Jonathan Ullman, and Salil Vadhan. Fingerprinting codes and the price of approximate differential privacy. In Proceedings of the forty-sixth annual ACM symposium on Theory of computing , pages 1–10. ACM, 2014. [22] John Burkardt. Normal

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Topographic surface modelling using raster grid datasets by GMT: example of the Kuril–Kamchatka Trench, Pacific Ocean

1 Introduction Current paper introduces the use of Generic Mapping Tools (GMT) for the cartographic workflow aimed at the geological data visualization. Among the wide range of GIS software used for mapping and geospatial data modelling, GMT stands apart from the traditional tools such as ArcGIS ( ESRI Team, 2010 ), QGIS ( QGIS, 2019 ) and MapINFO. The particularity of the GMT comparing to the standard GIS consists in its fundamentally different approach towards geodata processing. The GMT, originally developed by Wessel and Smith (1998) is not a classic

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Achondrogenesis type 2 in a newborn with a novel mutation on the COL2A1 gene

by Sanger sequencing ( Figure 3 ). Figure 3 Integrative Genomics Viewer and chromatogram view of the COL2A1 gene. (a) Excerpt of exome sequencing data visualized with th Integrative Genomics Viewer. (b) Result of DNA sequencing. A novel heterozygous germline mutation, c.2456G>A, p.Gly849Asp on the COL2A1 gene (indicated by a black arrow). Genetic Results . This variant (c.2546G>A, p.Gly849Asp) on the COL2A1 gene has not been previously reported in the Human Gene Mutation Database (HGMD; ) or in population

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Implementation of a Linked Data-Based Genealogy Knowledge Service Platform for Digital Humanities

RDF data conversion, RDF data storage and querying, and data visualization has matured, which can meet the requirements of bibliographic control and authority control, data reuse and sharing, and knowledge organization and discovery in Web environment. There is a technical framework that supports knowledge reorganization and provides knowledge service – not just document retrieval and reading, thus fulfilling the requirements of DH ( Figure 1 ). The framework is based on other existing frameworks, models, standards, and tools and was built using the following

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Localization patterns of cathepsins K and X and their predictive value in glioblastoma

bone marrow hematopoietic stem cell niche proteins J Histochem Cytochem 2018 66 155 – 73 10.1369/0022155417749174 36 GlioVis: Data visualization tools for brain tumor datasets. 2017. [citated 20 Sep 2017]. Available from: GlioVis: Data visualization tools for brain tumor datasets 2017 [citated 20 Sep 2017]. Available from 37 Bowman RL, Wang Q, Carro A, Verhaak RG, Squatrito M. GlioVis data portal for visualization and analysis of brain tumor expression datasets. Neuro Oncol

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Systematic variability in ICG recordings results in ICG complex subtypes – steps towards the enhancement of ICG characterization

. 18544834 10.1088/0967-3334/29/6/S32 Meijer J. H. Boesveldt S. Elbertse E. Berendse H. "Method to measure autonomic control of cardiac function using time interval parameters from impedance cardiography," Physiological measurement 29 S383 2008 13 M. Handke, C. Jahnke, G. Heinrichs, J. Schlegel, C. Vos, D. Schmitt, et al., "New three-dimensional echocardiographic system using digital radiofrequency data—visualization and quantitative analysis of aortic

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