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Latest news on our projects, seminars, presentations, publications and software.
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Grids and clouds are providing robust infrastructures for scientific applications. However, the wider take-up of these technologies have been limited for a long time due to the lack of user friendly interfaces that enable e-scientists to get transparent access to these platforms.
Science gateways are frameworks (or toolsets) which incorporate applications, data and tools to enable running applications on Distributed Computing Infrastructures (DCIs) in a user friendly and intuitive way.
A discussion of the SHIWA and ER-flow projects, based on the meeting held with ER-flow project members on Friday 18th January 2013 at the University of Westminster, London.
The SHIWA project was a 3-year EU-funded project that finished in August 2012. Its aim was to develop workflow interoperability technologies, more specifically, to enable e-scientists to run heterogeneous workflows (i.e. workflows created by different workflow systems), separately or combined, from a single platform, and on different distributed computing infrastructures.
Brain Images of Normal Subjects (BRAINS) bank and atlases are being developed with >1000 normal subjects from across the lifespan, to be expanded in the future to include subjects with disease. The images have been collected in centres across Scotland and are in a range of magnetic resonance (MR) sequences, including T1, T2, T2*, and fluid attenuated inversion recovery (FLAIR). When BRAINS is released these will be searchable by a wide range of metadata, e.g. blood pressure<140/90; age=85; MMSE>26.
Unlike earthquakes, most volcanic eruptions are preceded by clear episodes of unrest. These precursory signals are the main basis for forecasting eruptive activity, yet the quality of such forecasts are unknown. I will describe physical and empirical models for eruption forecasting and our efforts to quantify their performance. This work includes a project to test models in real-time, using data from multiple experimental facilities and volcano observatories.
Evolution of release 1.4.0. All the patches released since then applied (see 1.4.0 folder for more information).
For installing DICOM Confidential please download the executable jar dicom-confidential-1.4.1.jar.
Open Multi-Agent Systems (MAS) have growing popularity and are predicted to have many applications in near future, as large scale distributed systems such as clouds become more widespread. However, A major practical limitation to open MAS is security.