MOTIVATION Currently a substantial research effort is devoted to automated representation of metabolic and gene networks. Automatic visualization plays a significant role in such efforts, and becomes an important problem on its own. Graphical visualization of metabolic pathways has to be information dense and not 'overloaded', recognizable and unified, close to traditional and algebraically con...

Member States of the European Union are becoming more and more involved into interventions aiming at improving local public transportation services. Several EU and national regulations define passengers’ rights and obligations as well as how to analyze service offerings from mobility service providers. A typical tool for ensuring the quality of such services on a local or regional basis is repr...

Employing the notions of the strong $L$-topology introduced by Zhangand the $L$-frame introduced by Yao  and the concept of $L$-enrichedtopological system defined in the present paper, we constructadjunctions among the categories {bf St$L$-Top} of strong$L$-topological spaces, {bf S$L$-Loc} of strict $L$-locales and{bf $L$-EnTopSys} of $L$-enriched topological systems. All of theseconcepts are ...

There has been a convergence in computer architecture toward a distributed memory implementation of a shared memory user model. This has brought about the possibility of using a very large number of processors, on NWP applications, from the realm of research into reality. The simplicity of the shared memory model has meant that porting the very large Unified Model can be approached. However, al...

This paper describes a unified approach to virtual reality platform and treat this domain as a whole whereas the cognitive, psychological and physical aspects of helping people are all encompassed within a single solution, called Cyber Care Clinique (CCC). The underlying idea is to create a single hospital unit with virtual reality services to which different departments can subscribe their pat...

Imputation is one of the most common methods to reduce item non_response effects. Imputation results in a complete data set, and then it is possible to use naϊve estimators. After using most of common imputation methods, mean and total (imputation estimators) are still unbiased. However their variances (imputation variances) are underestimated by naϊve variance estimators. Sampling mechanism an...