Contingencies for Intercultural Dialogue in Virtual Space: An Empirical Research on the Role of Internet in Fostering Intercultural Competences from the Perspective of Migrant Youth

Against the background of the emerging multicultural migration society, acquisition of intercultural competences is getting vitally important for youngsters to actively and effectively engage with intercultural dialogue in a co-existent life context. Contingencies for such intercultural dialogue and to foster intercultural competences of youngsters are opened in virtual space when youth with different ethnic, social and cultural background go online. However, differences in Internet use and competences acquisition as “digital inequality” also exist among youth with different socio-cultural background. This article reports on a quantitative survey of 300 Turkish migrant youth in Germany as empirical sample about how Internet use generally fosters their intercultural competences, what differences exist among them and which indicators can explain the differences. Preliminary findings show that the contingencies of Internet in fostering intercultural competences are still not much employed and realised by Turkish migrant youth. Four online groups connected with bonding, bridging, both (bonding and bridging) and none socio-cultural networks are found out based on the cluster analysis with SPSS. These different networks, from the perspective of social cultural capital, can explain the differences concerning development of intercultural competences among them. It is indicated in this research that many Turkish migrant youth still lack recognition and capabilities to construct their intercultural social networks or relations through using Internet and further to employ the relations as intercultural social capital or social support in their life context. This therefore poses a critical implication for youth work to help migrant youth construct and reconstruct their socio-cultural networks through using Internet so as to extend social support for competences acquisition.

ModelDB in Computational Neuroscience Education - A research tool as interactive educational media

ModelDB's mission is to link computational models and publications, supporting the field of computational neuroscience (CNS) by making model source code readily available. It is continually expanding, and currently contains source code for more than 300 models that cover more than 41 topics. Investigators, educators, and students can use it to obtain working models that reproduce published results and can be modified to test for new domains of applicability. Users can browse ModelDB to survey the field of computational neuroscience, or pursue more focused explorations of specific topics. Here we describe tutorials and initial experiences with ModelDB as an interactive educational tool.

A Survey of Image-based Relighting Techniques

Image-based Relighting (IBRL) has recently attracted a lot of research interest for its ability to relight real objects or scenes, from novel illuminations captured in natural/synthetic environments. Complex lighting effects such as subsurface scattering, interreflection, shadowing, mesostructural self-occlusion, refraction and other relevant phenomena can be generated using IBRL. The main advantage of image-based graphics is that the rendering time is independent of scene complexity as the rendering is actually a process of manipulating image pixels, instead of simulating light transport. The goal of this paper is to provide a complete and systematic overview of the research in Imagebased Relighting. We observe that essentially all IBRL techniques can be broadly classified into three categories (Fig. 9), based on how the scene/illumination information is captured: Reflectance function-based, Basis function-based and Plenoptic function-based. We discuss the characteristics of each of these categories and their representative methods. We also discuss about the sampling density and types of light source(s), relevant issues of IBRL.