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The methodology of description and quantification of mechanical properties of visco-elastic materials is particularly important for drug production as well as for pharmaceutical applications. Of similar importance is this methodology for biomechanics and other biological disciplines, as many biological materials belong to the category of visco-elastic bodies. Methods derived from the theory of elastic bodies or hydrodynamics are not adequate for the quantification of mechanical properties of these materials. Application of more general rheological methods is necessary in these cases. In rheology, the so-called creep curves are most frequently used as a source of information on the mechanical behavior of visco-elastic materials. Further, for more exact analysis, rheological models are often derived from the creep curves. Classical methods of identification and parameter estimation of rheological models are not sufficiently general and do not derive all information involved in creep curves. A significant contribution is the application of the general theory of systems, theory of system identification, and mathematical methodology of Laplace transformation to this field. Practical application of these methods is often relatively simple. The paper presents the necessary theoretical background and a practical guide for utilization of this methodology.

Formal Concept Analysis plays a fundamental role in different fields of research and it is widely used in applied sciences in the last years. In the present paper the authors show in detail how it can be applied to the study of results obtained in clinical practice.

"The main content of this paper is to model the numbers of single male migrants aged 15 years and above from the households in [a rural village in India. The] author proposes two probability distribution models...." (SUMMARY IN ENG AND RUS), (excerpt)

In the first part of this paper the authors used for demographic data and morbidity data concerning measles, parotitis, rubella and chickenpox in the Sokolov district a model of exponential distribution, in particular its distribution function. The authors introduced the concept of mean population year. They tested the theoretical assumption that in different infections in long-term average the annual number of infected subjects is equal and equals the mean population year. They found that the delta parameter which determines the shape of the exponential regression curve and is the measure of the rate of spread of a given infection, expressed at the same time numerically by the number of mean population years the mean number of susceptibles which remain permanently in a given population.