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The main objective of the article is to highlight the role that Web2.0 currently has and could have in the future in supporting the teaching of ICT Design for All. According to this, first the concepts of Web2.0 and eLearning2.0 are clarified and connected. The new way of thinking about eLearning being inspired by the emergence of Web2.0, the term eLearning2.0 was introduced to identify a new paradigm. So, eLearning 2.0, by contrast to eLearning1.0 is built around collaboration, also eLearning2.0 assumes that knowledge is socially constructed. Related to the role of Web2.0 in supporting the teaching of ICT Design for All, the 4 steps involved by the ICT Design For All Teaching Principles are presented and detailed. Finally, some real world examples are shown, as evidence of how the new methods of communication offered by Web2.0 can be used to support students as they learn about Design for All. [ABSTRACT FROM AUTHOR]

During the last years, skin aging has become an area of increasing research interest. High frequency ultrasound allows the ˵in vivo″ appreciation of certain histological parameters and offers new characteristic markers, which may quantify the severity of the cutaneous senescence process. This paper focuses on measuring the changes in skin thickness and dermis echogenicity , as part of the complex ageing process, on different intervals of age. In particular by using a multiscale approach we will compute some parameters which are connected with complexity (fractal structure) of skin ageing. [ABSTRACT FROM AUTHOR]

The amount of computing in the vast majority of image processing applications is high, leading to a high interest in reducing execution time. Following our line in developing complete and general purpose Image Processing tools, succeeding to a Multithreaded Image Processing System conceived for single processor systems, we develop now a Distributed Image Processing System, which will implement the ISO IEC 12087 Image Processing Standard with Cluster Computing methods. The final aim of this work is to obtain a complete image-processing library for Cluster Computing. Some basic notions, followed by the presentation of the most important methods implemented in order to generate the distributed algorithms, will be presented in this paper. [ABSTRACT FROM AUTHOR]