bluuebunny/crossref_metadata_2025_split huggingface dataset:
POISSON VERSUS BINOMIAL: APPOINTMENT OF JUDGES TO THE U.S. SUPREME COURT
Authors: Voinov Vassilly , Voinov Evgeniy , Rakhimova Roza 
Published: August 2010

SummaryThe problem of discriminating between the Poisson and binomial models is discussed in the context of a detailed statistical analysis of the number of appointments of the U.S. Supreme Court justices from 1789 to 2004. Various new and existing tests are examined. The analysis shows that both simple Poisson and simple binomial models are equally appropriate for describing the data. No firm statistical evidence in favour of an exponential Poisson regression model was found. Two attendant results were obtained by simulation: firstly, that the likelihood ratio test is the most powerful of those considered when testing for the Poisson versus binomial and, secondly, that the classical variance test with an upper‐tail critical region is biased.
Reusable Visualizations and Animations for Surgery Planning
Authors: Mühler K. , Preim B. 
Published: August 2010

AbstractFor surgical planning, the exploration of 3D visualizations and 2D slice views is essential. However, the generation of visualizations which support the specific treatment decisions is very tedious. Therefore, the reuse of once designed visualizations for similar cases can strongly accelerate the process of surgical planning. We present a new technique that enables the easy reuse of both medical visualization types: 3D scenes and 2D slice views. We introduce the keystates as a concept to describe the state of a visualization in a general manner. They can be easily applied to new datasets to create similar visualizations. Keystates can be shared between surgeons of one specialization to reproduce and document the planning process for collaborative work. Furthermore, animations can support the surgeon on individual exploration and are also useful in collaborative environments, where complex issues must be presented in a short time. Therefore, we provide a framework, where animations can be visually designed by surgeons during their exploration process without any programming or authoring skills. We discuss several transitions between different visualizations and present an application from clinical routine.
Multi‐layer Depth Peeling by Single‐Pass Rasterisation for Faster Isosurface Raytracing on GPUs
Authors: Liu Baoquan , Clapworthy Gordon J. , Dong Feng 
Published: August 2010

AbstractEmpty‐space skipping is an essential acceleration technique for volume rendering. Image‐order empty‐space skipping is not well suited to GPU implementation, since it must perform checks on, essentially, a per‐sample basis, as in kd‐tree traversal, which can lead to a great deal of divergent branching at runtime, which is very expensive in a modern GPU pipeline. In contrast, object‐order empty‐space skipping is extremely fast on a GPU and has negligible overheads compared with approaches without empty‐space skipping, since it employs the hardware unit for rasterisation. However, previous object‐order algorithms have been able to skip only exterior empty space and not the interior empty space that lies inside or between volume objects.In this paper, we address these issues by proposing a multi‐layer depth‐peeling approach that can obtain all of the depth layers of the tight‐fitting bounding geometry of the isosurface by a single rasterising pass. The maximum count of layers peeled by our approach can be up to thousands, while maintaining 32‐bit float‐point accuracy, which was not possible previously. By raytracing only the valid ray segments between each consecutive pair of depth layers, we can skip both the interior and exterior empty space efficiently.In comparisons with 3 state‐of‐the‐art GPU isosurface rendering algorithms, this technique achieved much faster rendering across a variety of data sets.
A Maximum Enhancing Higher‐Order Tensor Glyph
Authors: Schultz T. , Kindlmann G. 
Published: August 2010

AbstractGlyphs are a fundamental tool in tensor visualization, since they provide an intuitive geometric representation of the full tensor information. The Higher‐Order Maximum Enhancing (HOME) glyph, a generalization of the second‐order tensor ellipsoid, was recently shown to emphasize the orientational information in the tensor through a pointed shape around maxima. This paper states and formally proves several important properties of this novel glyph, presents its first three‐dimensional implementation, and proposes a new coloring scheme that reflects peak direction and sharpness. Application to data from High Angular Resolution Diffusion Imaging (HARDI) shows that the method allows for interactive data exploration and confirms that the HOME glyph conveys fiber spread and crossings more effectively than the conventional polar plot.
Understanding Interactive Legends: a Comparative Evaluation with Standard Widgets
Authors: Riche Nathalie Henry , Lee Bongshin , Plaisant Catherine 
Published: August 2010

AbstractInteractive information visualization systems rely on widgets to allow users to interact with the data and modify the representation. We define interactive legends as a class of controls combining the visual representation of static legends and interaction mechanisms of widgets. As interactive legends start to appear in popular websites, we categorize their designs for common data types and evaluate their effectiveness compare to standard widgets. Results suggest that 1) interactive legends can lead to faster perception of the mapping between data values and visual encodings and 2) interaction time is affected differently depending on the data type. Additionally, our study indicates superiority both in terms of perception and interaction of ordinal controls over numerical ones. Numerical techniques are mostly used in today's systems. By providing solutions to allowing users to modify ranges interactively, we believe that interactive legends make it possible to increase the use of ordinal techniques for visual exploration.
GraphDice: A System for Exploring Multivariate Social Networks
Authors: Bezerianos A. , Chevalier F. , Dragicevic P. , Elmqvist N. , Fekete J.D. 
Published: August 2010

AbstractSocial networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these networks produces additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of attributes is one of the main challenges of multivariate SNA. We present the design of GraphDice, a multivariate network visualization system for exploring the attribute space of edges and actors. GraphDice builds upon the ScatterDice system for its main multidimensional navigation paradigm, and extends it with novel mechanisms to support network exploration in general and SNA tasks in particular. Novel mechanisms include visualization of attributes of interval type and projection of numerical edge attributes to node attributes. We show how these extensions to the original ScatterDice system allow to support complex visual analysis tasks on networks with hundreds of actors and up to 30 attributes, while providing a simple and consistent interface for interacting with network data.
Illustrative White Matter Fiber Bundles
Authors: Otten Ron , Vilanova Anna , Van De Wetering Huub 
Published: August 2010

AbstractDiffusion Tensor Imaging (DTI) has made feasible the visualization of the fibrous structure of the brain white matter. In the last decades, several fiber‐tracking methods have been developed to reconstruct the fiber tracts from DTI data. Usually these fiber tracts are shown individually based on some selection criteria like region of interest. However, if the white matter as a whole is being visualized clutter is generated by directly rendering the individual fiber tracts. Often users are actually interested in fiber bundles, anatomically meaningful entities that abstract from the fibers they contain. Several clustering techniques have been developed that try to group the fiber tracts in fiber bundles. However, even if clustering succeeds, the complex nature of white matter still makes it difficult to investigate. In this paper, we propose the use of illustration techniques to ease the exploration of white matter clusters. We create a technique to visualize an individual cluster as a whole. The amount of fibers visualized for the cluster is reduced to just a few hint lines, and silhouette and contours are used to improve the definition of the cluster borders. Multiple clusters can be easily visualized by a combination of the single cluster visualizations. Focus+context concepts are used to extend the multiple‐cluster renderings. Exploded views ease the exploration of the focus cluster while keeping the context clusters in an abstract form. Real‐time results are achieved by the GPU implementation of the presented techniques.
Isosurface Similarity Maps
Authors: Bruckner Stefan , Möller Torsten 
Published: August 2010

AbstractIn this paper, we introduce the concept of isosurface similarity maps for the visualization of volume data. Iso‐surface similarity maps present structural information of a volume data set by depicting similarities between individual isosurfaces quantified by a robust information‐theoretic measure. Unlike conventional histograms, they are not based on the frequency of isovalues and/or derivatives and therefore provide complementary information. We demonstrate that this new representation can be used to guide transfer function design and visualization parameter specification. Furthermore, we use isosurface similarity to develop an automatic parameter‐free method for identifying representative isovalues. Using real‐world data sets, we show that isosurface similarity maps can be a useful addition to conventional classification techniques.
Accelerated Visualization of Dynamic Molecular Surfaces
Authors: Lindow Norbert , Baum Daniel , Prohaska Steffen , Hege Hans‐Christian 
Published: August 2010

AbstractMolecular surfaces play an important role in studying the interactions between molecules. Visualizing the dynamic behavior of molecules is particularly interesting to gain insights into a molecular system. Only recently it has become possible to interactively visualize dynamic molecular surfaces using ray casting techniques.In this paper, we show how to further accelerate the construction and the rendering of the solvent excluded surface (SES) and the molecular skin surface (MSS). We propose several improvements to reduce the update times for displaying these molecular surfaces. First, we adopt a parallel approximate Voronoi diagram algorithm to compute the MSS. This accelerates the MSS computation by more than one order of magnitude on a single core. Second, we demonstrate that the contour‐buildup algorithm is ideally suited for computing the SES due to its inherently parallel structure. For both parallel algorithms, we observe good scalability up to 8 cores and, thus, obtain interactive frame rates for molecular dynamics trajectories of up to twenty thousand atoms for the SES and up to a few thousand atoms for the MSS. Third, we reduce the rendering time for the SES using tight‐fitting bounding quadrangles as rasterization primitives. These primitives also accelerate the rendering of the MSS. With these improvements, the interactive visualization of the MSS of dynamic trajectories of a few thousand atoms becomes for the first time possible. Nevertheless, the SES remains a few times faster than the MSS.
Streaming‐Enabled Parallel Dataflow Architecture for Multicore Systems
Authors: Vo Huy T. , Osmari Daniel K. , Summa Brian , Comba João L. D. , Pascucci Valerio , Silva Cláudio T. 
Published: August 2010

AbstractWe propose a new framework design for exploiting multi‐core architectures in the context of visualization dataflow systems. Recent hardware advancements have greatly increased the levels of parallelism available with all indications showing this trend will continue in the future. Existing visualization dataflow systems have attempted to take advantage of these new resources, though they still have a number of limitations when deployed on shared memory multi‐core architectures. Ideally, visualization systems should be built on top of a parallel dataflow scheme that can optimally utilize CPUs and assign resources adaptively to pipeline elements. We propose the design of a flexible dataflow architecture aimed at addressing many of the shortcomings of existing systems including a unified execution model for both demand‐driven and event‐driven models; a resource scheduler that can automatically make decisions on how to allocate computing resources; and support for more general streaming data structures which include unstructured elements. We have implemented our system on top of VTK with backward compatibility. In this paper, we provide evidence of performance improvements on a number of applications.
Topological Landscape Ensembles for Visualization of Scalar‐Valued Functions
Authors: Harvey William , Wang Yusu 
Published: August 2010

AbstractVisual representation techniques enable perception and exploration of scientific data. Following the topological landscapes metaphor of Weber et al., we provide a new algorithm for visualizing scalar functions defined on simply connected domains of arbitrary dimension. For a potentially high dimensional scalar field, our algorithm produces a collection of, in some sense complete, two‐dimensional terrain models whose contour trees and corresponding topological persistences are identical to those of the input scalar field. The algorithm exactly preserves the volume of each region corresponding to an arc in the contour tree. We also introduce an efficiently computable metric on terrain models we generate. Based on this metric, we develop a tool that can help the users to explore the space of possible terrain models.
An Interactive Visual Analytics System for Bridge Management
Authors: Wang Xiaoyu , Dou Wenwen , Chen Shen‐En , Ribarsky William , Chang Remco 
Published: August 2010

AbstractBridges deteriorate over their life cycles and require continuous maintenance to ensure their structural integrity, and in turn, the safety of the public. Maintaining bridges is a multi‐faceted operation that requires both domain knowledge and analytics techniques over large data sources. Although most existing bridge management systems (BMS) are very efficient at data storage, they are not as effective at providing analytical capabilities or as flexible at supporting different inspection technologies. In this paper, we present a visual analytics system that extends the capability of current BMSs. Based on a nation‐wide survey and our interviews with bridge managers, we designed our system to be customizable so that it can provide interactive exploration, information correlation, and domain‐oriented data analysis. When tested by bridge managers of the U.S. Department of Transportation, we validated that our system provides bridge managers with the necessary features for performing in‐depth analysis of bridges from a variety of perspectives that are in accordance to their typical workflow.
Pathline: A Tool For Comparative Functional Genomics
Authors: Meyer M. , Wong B. , Styczynski M. , Munzner T. , Pfister H. 
Published: August 2010

AbstractBiologists pioneering the new field of comparative functional genomics attempt to infer the mechanisms of gene regulation by looking for similarities and differences of gene activity over time across multiple species. They use three kinds of data: functional data such as gene activity measurements, pathway data that represent a series of reactions within a cellular process, and phylogenetic relationship data that describe the relatedness of species. No existing visualization tool can visually encode the biologically interesting relationships between multiple pathways, multiple genes, and multiple species. We tackle the challenge of visualizing all aspects of this comparative functional genomics dataset with a new interactive tool called Pathline. In addition to the overall characterization of the problem and design of Pathline, our contributions include two new visual encoding techniques. One is a new method for linearizing metabolic pathways that provides appropriate topological information and supports the comparison of quantitative data along the pathway. The second is the curvemap view, a depiction of time series data for comparison of gene activity and metabolite levels across multiple species. Pathline was developed in close collaboration with a team of genomic scientists. We validate our approach with case studies of the biologists’ use of Pathline and report on how they use the tool to confirm existing findings and to discover new scientific insights.
Reconciling Constitutionalism with Power: Towards a Constitutional Nomos of Political Ordering
Authors: KUO MING‐SUNG 
Published: August 2010

AbstractDrawing upon Hannah Arendt's and Carl Schmitt's theories on the relationship between nomos and boundary, this paper revisits how constitutionalism and political power are reconciled as constitutional ordering. It first analyzes constitutionalism in the light of political modernity. Indicating that political power grounded by constitutions is omnipotent, complementing and completing constitutionalism, the paper contends that an omnipotent constitutional ordering is anything but an unleashed Leviathan. It is argued that constitutional omnipotence is framed and thus constrained by a constitutional nomos, the matrix of which is a dual delimitation of boundaries, generational, and jurisdictional.
SOCIAL CONFLICT, GROWTH AND FACTOR SHARES
Authors: Tsoukis Christopher , Tournemaine Frederic 
Published: August 2010

ABSTRACTStandard growth theory is based on atomistic agents with no strategic interactions among them. In contrast, we model growth as resulting from a one‐off, strategic game between ‘workers’ and owners of capital (‘capitalists’) on factor shares, in an otherwise standard ‘AK’ growth model. The resulting distribution of income between factors further determines the marginal revenue product of capital and the rate of growth. We analyse the properties of four equilibria: competitive, Stackelberg equilibrium, a hybrid non‐cooperative regime and cooperative, in terms of labour shares, growth and welfare. Our model thus endogenizes key aspects of the ‘social contract’.
Voice or Loyalty? The Evolution of the European Environment Agency (EEA)
Authors: MARTENS MARIA 
Published: August 2010

AbstractThis article seeks to contribute to the debate about the role and autonomy of European agencies, and it is argued that in order to capture a fuller picture of their functioning, we need to go beyond a legal framework, taking into account institutional features that involve both formal and informal processes. We also need to follow processes over time in order to avoid snapshot images and to be able to identify dynamics of institutionalization and change. The article examines the evolution of the European Environment Agency (EEA) from its inception in 1991, and analyses its gradual transformation from a legal to a living institution in the EU system. Over the years the agency has become a more loyal partner to the Commission in the European administrative system, balancing the ability to have a credible voice on the one hand and the need for stability and a secure resource supply on the other.
Justice, Not Democracy: Legitimacy in the European Union
Authors: NEYER JÜRGEN 
Published: August 2010

AbstractThe EU is often assessed against the standard of democracy, which it has no fair chance to fulfil. A new and attractive normative agenda is needed if the EU is to escape its deep legitimacy crisis. This article proposes to substitute the discourse on the democratic deficit of the EU with a discourse on its contribution to transnational justice. Whilst the democratic discourse most often focuses on parliamentary competences and divided government, the discourse on justice centres on the people, puts primary emphasis on power asymmetries and on overcoming the obstacles to justifiable political outcomes. The proposal to analyse the EU in terms of justice does not lower the normative standard but corrects it.
Climate Change and the European Union's Leadership Moment: An Inconvenient Truth?
Authors: PARKER CHARLES F. , KARLSSON CHRISTER 
Published: August 2010

AbstractThis article examines the nexus between the EU's goal of being a leading actor on the world stage in devising a global solution to the threat of climate change and the performance of its Member States in meeting their climate change obligations. In doing so the article will discuss the concept of EU leadership, examine the modes of leadership the EU has employed in pursuing its climate protection objectives, scrutinize the extent to which EU Member States are actually living up to their Kyoto obligations and analyse how the EU's own performance, credibility and legitimacy in this area affects its aspirations to be a key norm‐entrepreneur in the establishment of a post‐2012 climate change agreement. The article concludes with a balance sheet of some of the Union's key successes and failures and closes by highlighting some potentially inconvenient truths that might frustrate the EU's climate protection aspirations.
The Nordics, the EU and the Reluctance Towards Supranational Judicial Review
Authors: WIND MARLENE 
Published: August 2010

AbstractThe Nordic countries have no tradition of judicial review by courts and have generally been hesitant to make use of the preliminary ruling procedure in the European Union. New data indicate that Nordic courts prefer to solve as many EU‐related judicial disputes as possible without involving a supranational organ such as the ECJ. Building on two comprehensive surveys of Danish and Swedish courts and judges, this study challenges the theory of judicial empowerment when explaining judicial integration in the EU. The article argues that in order to explain when and why Member State courts make use of the preliminary ruling procedure, a much deeper understanding of the prevalent legal/political culture and concept of democracy in each Member State is required. In particular, the distinction between majoritarian versus constitutional democracies may help us understand why majoritarian democracies express greater scepticism towards supranational judicial review.
Impact Assessment and the Liberalization of the EU Energy Markets: Evidence‐Based Policy‐Making or Policy‐Based Evidence‐Making?
Authors: TORRITI JACOPO 
Published: August 2010

AbstractThe European Commission proposal on the liberalization of energy markets has been widely debated in policy, stakeholder and academic circles both for its content and the potential consequences for the structure of the EU gas and electricity markets. However, little has been said about the empirical evidence produced by the European Commission to support this legislative package. Since the Impact Assessment (IA) system has been in place, there have been concerns regarding quality and adequateness, especially when quantifying costs, benefits and risks, selecting policy options and considering stakeholder opinions. This article examines how these crucial issues were factored into the IA on the liberalization of EU energy markets. It is concluded that the selected policy option reflects the position of some stakeholders at the expense of the available evidence on its impacts on markets, society and the environment.