Most side-channel attacks that have been published in the open literature assume knownor chosen-message adversarial scenarios. In this paper, we analyze the increase of the attacks’ efficiencies that can be obtained by adaptively selecting the messages. For this purpose, we first describe a generic strategy that allows an adversary to take advantage of this capability. We show that it can be ap...

This study was set out to explore the understanding of dementia as a culturally and socially shaped illness in order illuminate such perceptions experience relation ethnoculturally profiled care Sweden. The results indicate, contrary many other studies (c.f. Conell et al 2009; Flaskerud Gray Hinton, Franz & Friend 2004) that perception described meaning disease have little (or nothing) do w...

MOTIVATION Hierarchical clustering is one of the major analytical tools for gene expression data from microarray experiments. A major problem in the interpretation of the output from these procedures is assessing the reliability of the clustering results. We address this issue by developing a mixture model-based approach for the analysis of microarray data. Within this framework, we present nov...

Linear mixed-effects models are an important class of statistical models that are not only used directly in many fields of applications but also used as iterative steps in fitting other types of mixed-effects models, such as generalized linear mixed models. The parameters in these models are typically estimated by maximum likelihood (ML) or restricted maximum likelihood (REML). In general there...