Research to Practice: Diabetes and Vocational Rehabilitation Employment Services and Outcomes

Approximately 18 million people in the U.S. have diabetes. This brief uses Rehabilitation Services Administration data to provide a picture of people with diabetes using the Vocational Rehabilitation system

Research to Practice: Employment Services and Outcomes of People Receiving Welfare Benefits and Vocational Rehabilitation Services

Poverty programs have undergone substantial reform in the past decade, and there has been a heightened interest in exploring the experiences of people with disabilities who receive welfare benefits. This report profiles people with disabilities who had TANF, GA, or both at application to VR services and completed these services in the year 2003

Data Note: Employment Outcomes for People with Diabetes in the Vocational Rehabilitation System

Approximately 18 million people in the U.S. have diabetes. Diabetes in and of itself does not necessarily qualify any given individual for disability services. However, for some individuals, diabetes can be serious enough or can lead to secondary conditions that enable them to qualify for Vocational Rehabilitation (VR) services

Analyzing and Visualizing Cosmological Simulations with ParaView

The advent of large cosmological sky surveys - ushering in the era of precision cosmology - has been accompanied by ever larger cosmological simulations. The analysis of these simulations, which currently encompass tens of billions of particles and up to trillion particles in the near future, is often as daunting as carrying out the simulations in the first place. Therefore, the development of very efficient analysis tools combining qualitative and quantitative capabilities is a matter of some urgency. In this paper we introduce new analysis features implemented within ParaView, a parallel, open-source visualization toolkit, to analyze large N-body simulations. The new features include particle readers and a very efficient halo finder which identifies friends-of-friends halos and determines common halo properties. In combination with many other functionalities already existing within ParaView, such as histogram routines or interfaces to Python, this enhanced version enables fast, interactive, and convenient analyses of large cosmological simulations. In addition, development paths are available for future extensions.Comment: 9 pages, 8 figure

Incorporating Highlighting Animations into Static Visualizations

Rendering a lot of data results in cluttered visualizations. It is difficult for a user to find regions of interest from contextual data especially when occlusion is considered. We incorporate animations into visualization by adding positional motion and opacity change as a highlighting mechanism. By leveraging our knowledge on motion perception, we can help a user to visually filter out her selected data by rendering it with animation. Our framework of adding animation is the animation transfer function, where it provides a mapping from data and animation frame index to a changing visual property. The animation transfer function describes animations for user selected regions of interest. In addition to our framework, we explain the implementation of animations as a modification of the rendering pipeline. The animation rendering pipeline allows us to easily incorporate animations into existing software and hardware based volume renderers. Figure 1. Animation of the opacity of a foot data set. 1