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The visualisation toolkit

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... The process of transforming data into sensory stimuli and visual images is called data visualisation (Schroeder et al., 2003). Powerful charts, diagrams or maps provide solutions to explore, analyse, and present data. ...
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Databases are an organized collection of data and necessary to investigate a wide spectrum of research questions. For data evaluation analyzers should be aware of possible data quality problems that can compromise results validity. Therefore data cleaning is an essential part of the data management process, which deals with the identification and correction of errors in order to improve data quality. In our cross-sectional study, Biomarkers of Ageing, analytical, anthropometric and demographic data from about 3000 volunteers have been collected in the MARK-AGE database. Although several preventive strategies were applied before data entry, errors like miscoding, missing values, batch problems etc. could not be avoided completely. Such errors can result in misleading information and affect the validity of the performed data analysis. Here we present an overview of the methods we applied for dealing with errors in the MARK-AGE database. We especially describe our strategies for the detection of missing values, outliers and batch effects and explain how they can be handled to improve data quality. Finally we report about the tools used for data exploration and data sharing between MARK-AGE collaborators. Copyright © 2015. Published by Elsevier Ireland Ltd.
... om the initial contact zone. To characterize the actual phases, we explored two different order parameters which can be constructed as functions of z. The first order parameter is an orientational order parameter motivated by the observations of the solvent isosurfaces. The isosurface images are generated using Visualization ToolKit (VTK) software (Schroeder et al . 1998). By intercepting the graphics pipeline at the point where the shading algorithm is invoked, we can extract the isosurface normals and construct the second moment M of the isosurface normal distribution p(n) as a function of z. Since M = nn p is a symmetric second-rank tensor, it can be characterized by three real eigenvalues. These can ...
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We have examined the early stages of surfactant dissolution and mesophase formation using a dimer-solvent model with phase behaviour representative of surfactant-water systems. We use an orientational order parameter to characterize systematically the appearance of mesophases. We find the process is diffusion controlled, and the appearance of mesophases is governed adiabatically by the equilibrium phase diagram from the earliest point at which the orientational order parameter can reliably distinguish between mesophases, when only a few repeat spacings of the mesophase microstructures are present. In real systems, such a stage would correspond to times of the order of a few microseconds after the initial contact.
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Constructing accurate architectural models of interiors is a nontrivial task. Photogrammetry can be used to recover the large-scale features but has difficulty in modelling sufficient detail. Laser scanning on the other hand produces highly detailed depth data but is difficult to turn into a globally consistent model. We present a hybrid system for the creation of photorealistic and geometrically efficient and accurate models through the integration of photogrammetric modelling techniques with laser acquired range data. Our hybrid rendering software builds on the foundation of the Facade photogrammetric modelling system, but improves the degree of complexity of this representation by incorporating range data for those parts of the scene that are unmodelled. The salient planar features in the scan are extracted and used to align the models via a two-stage quaternion-based and ICP-based registration. The process allows for straightforward integration of multiple range scans. Rendering of novel views is achieved using view-dependent texture mapping techniques combined with point-based rendering
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