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This chapter presents the most relevant related work with respect to the compilation and synthesis approach developed in the context of the REFLECT project. We survey current techniques and methodologies for the mapping of computations described in high-level programming languages to reconfigurable architectures. We give particular emphasis to compilation systems that map imperative (C-like) languages to target FPGA-based systems. We also describe previous work on compiler optimizations, automated high-level synthesis, and strategies for back-end synthesis, mapping as well as placement and routing. Finally, we include an overview of EU-funded projects relevant to REFLECT. © Springer Science+Business Media New York 2013. All rights are reserved.

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We present OpenML, a novel open science platform that provides easy access to machine learning data, software and results to encourage further study and application. It organizes all submitted results online so they can be easily found and reused, and features a web API which is being integrated in popular machine learning tools such as Weka, KNIME, RapidMiner and R packages, so that experiments can be shared easily. © 2013 Springer-Verlag.

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1110 Background: The international randomised contolled TARGeted Intraoperative radioTherapy (TARGIT) trial has demonstrated non-inferiority between the novel technique of TARGIT (intra-operative radiotherapy with Intrabeam) and conventional whole-breast external beam radiotherapy (EBRT) in women with early breast cancer, in terms of the primary outcome measure of risk of local relapse within the treated breast. With very low recurrence rates, cosmesis becomes an increasingly important outcome of breast conserving treatment with both surgery and radiotherapy. This study was performed to determine if the single high dose of TARGIT leads to impaired cosmesis. Methods: A validated, objective assessment tool for evaluation of cosmetic outcome was used. Frontal digital photographs were taken at baseline (before TARGIT or EBRT) and yearly thereafter for up to five years. The photographs were analysed by BCCT.core software which produces a composite score based on symmetry, colour and scar. Results: 342 patients were assessed, all over 50 years old with a median age at baseline of 64 years (IQR 59 to 68). The scores were dichotomised into Excellent and Good (EG), and Fair and Poor (FP). There were statistically significant increases in the odds of having an outcome of EG for patients in the TARGIT group relative to the EBRT group at year 1 (OR = 2.07, 95%CI 1.12 to 3.85, p = 0.021) and year 2 (OR = 2.11, 95%CI 1.0 to 4.45, p = 0.05). Conclusions: Following an objective assessment of aesthetic outcome in patients from a randomised setting, this study demonstrates that those treated with targeted intraoperative radiotherapy have a superior cosmetic result compared with those patients who received conventional whole-breast external beam radiotherapy.

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Currently, Virtual Worlds technology is used for educational purposes in a cross-disciplinary way. However, particularly in formal learning institutions, its widespread adoption is far from being a reality due a broad range of technological challenges. This paper addresses identity federation systems as possible solutions to some of the interoperability, security and user management problems. Our major goal is to present what systems, architectures and standards are standing out, how the research area is moving toward identity federation, and why educational institutions need to address it. We consider identity, privacy, security-assurance, and interoperability as main concerns within our analysis, in order to interconnect digital identities with physical identities, and create a unique federated identity system that can act independently from the service in use. Thus, VWs technologies will be able to scale and evolve independently without compromising user's identity.

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