This paper describes the design of OpenFOAM, an object- oriented library for Computational Fluid Dynamics (CFD) and struc- tural analysis. Efficient and flexible implementation of complex physi- cal models in Continuum Mechanics is achieved by mimicking the form of partial differential equation in software. The library provides Fi- nite Volume and Finite Element discretisation in operator form and with polyhedral mesh support, with relevant auxiliary tools and sup- port for massively parallel computing. Functionality of OpenFOAM is illustrated on three levels: improvements in linear solver technology with CG-AMG solvers, LES data analysis using Proper Orthogonal Decom- position (POD) and a self-contained fluid-structure interaction solver.

Models of whole-brain connectivity are valuable for understanding neurological function, development and disease. This paper presents a machine learning based approach to classify subjects according to their approximated structural connectivity patterns and to identify features which represent the key differences between groups. Brain networks are extracted from diffusion magnetic resonance images obtained by a clinically viable acquisition protocol. Connections are tracked between 83 regions of interest automatically extracted by label propagation from multiple brain atlases followed by classifier fusion. Tracts between these regions are propagated by probabilistic tracking, and mean anisotropy measurements along these connections provide the feature vectors for combined principal component analysis and maximum uncertainty linear discriminant analysis. The approach is tested on two populations with different age distributions: 20-30 and 60-90 years. We show that subjects can be classified successfully (with 87.46% accuracy) and that the features extracted from the discriminant analysis agree with current consensus on the neurological impact of ageing.

The Ion Proton™ Sequencer, priced at $149,000, is based on the next generation of semiconductor sequencing technology that has made its predecessor, the Ion Personal Genome Machine™ (PGM™), the fastest-selling sequencer in the world. Up to now, it has taken weeks or months to sequence a human genome at a cost of $5,000 to $10,000 using optical-based sequencing technologies. The slow pace and the high instrument cost of $500,000 to $750,000 have limited human genome sequencing to relatively few research labs. Baylor College of Medicine, Yale School of Medicine, and The Broad Institute, have each signed up for multiple Ion Proton™ Sequencers and will be the first customers to adopt this transformative technology.

Vis5D is a system for interactive visualization of large 5-D gridded data sets such as those produced by numerical weather models. One can make isosurfaces, contour line slices, colored slices, volume renderings, etc of data in a 3-D grid, then rotate and animate the images in real time. There's also a feature for wind trajectory tracing, a way to make text anotations for publications, support for interactive data analysis, etc.

Beginning in 2006, NASA's Stardust@home citizen science project allows anyone with Internet access to help in the search for the first samples of solid matter from outside the solar system. To learn more, including how to participate, please click on the About tab above or on any of the links below under "More Information." Then join the search by following the Get Started steps found to the left of this page; or after registering, read the latest Stardust@home news in our blog below. We look forwarded to working with you on this exciting research!

The Open Dinosaur Project was founded to involve scientists and the public alike in developing a comprehensive database of dinosaur limb bone measurements, to investigate questions of dinosaur function and evolution. We have three major goals:1) do good science; 2) do this science in the most open way possible; and 3) allow anyone who is interested to participate. And by anyone, we mean anyone! We do not care about your education, geographic location, age, or previous background with paleontology. The only requirement for joining us is that you share the goals of our project and are willing to help out in the efforts.