Models are invariably used in Engineering (for design) and Science (for analysis) to precisely describe structure as well as behaviour of systems. Models may have components described in different formalisms, and may span different levels of abstraction. In addition, models are frequently transformed into domains/formalisms where certain questions can be easily answered. We introduce the term “...

Twin studies are important to investigate genetic influences on variation in human brain morphology in health and disease. However, the twin method has been criticized for its alleged non-generalizability due to differences in the intrauterine and family environment of twins, compared with singletons. To test whether twin-singleton differences complicate interpretation of genetic contributions ...

Introduction. This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This study is one of the few studies to employ multi...

In contrast with traditional modelling methods, which are used to identify parameter values of a model with known structure, equation discovery systems identify the structure of the model also. The model generated with such systems can give experts a better insight into the measured data and can be also used for predicting future values of the measured variables. This paper presents LAGRAMGE, a...

Latent variable modelling has gradually become an integral part of mainstream statistics and is currently used for a multitude of applications in different subject areas. Examples of ‘traditional’ latent variable models include latent class models, item–response models, common factor models, structural equation models, mixed or random effects models and covariate measurement error models. Altho...

We present Vlasov’s equation and its association with Poisson’s equation in the context of modelling self-gravitating systems such as Globular Clusters or Galaxies. We first review the classical hypotheses of the model. We continue with a presentation of the Hamilton-Morrison structure of Vlasov’s equation to study the equilibrium and the stability of self-gravitating systems. Finally, we prese...

Models offer visual support for analyzing complex domains such as business processes and information systems. In both cases, models are developed using graphical modelling languages. In our study we focus on usability evaluation of modelling languages for the model interpretation scenario. The study is based on a causal model of hypotheses, which was developed under consideration of psychologic...

relationship between grain yield and its component traits can improve the efficiency of breeding programs by determining appropriate selection criteria. an investigation was carried out on barnyard millet (echinochloa spp.) global germplasm collection to investigate the association among yield components and their direct and indirect effects on the grain yield of barnyard millet. the experiment...

This 1)aper addresses the stochastic modeling for managing asset liability process. We start with developing a jump-diffusion process for evaluating of the liabilities of the insurance company in general. We then tbrnmlate the ALM process into a stochastic control problem. With this approach, we present a Bel|man-Dreyfus Fundamental type formula for ALM process in terms of the solution of a sys...