results in this study, a significant relation was established between the three areas or domains of learning: 1) knowledge domain (learning the theoretical basis of necessity-based training); 2) motivational domain (how to motivate collection, classification, etc. and 3) the technical domain (how trauma experts and specialists can recognize and classify needs practically. our findings suggest t...

This work studies linear elliptic problems under uncertainty. The major emphasis is on the deterministic treatment of such uncertainty. In particular, this work uses the Worst Scenario approach for the characterization of uncertainty on functional outputs (quantities of physical interest). Assuming that the input data belong to a given functional set, eventually infinitely dimensional, we propo...

Motivated by applications in engineering design, a mathematical model of the multi-scenario multi-criteria optimization problem is introduced. Theoretical results for the single-scenario case are presented to support a solution methodology developed for the bi-scenario bi-criteria case. Multi-scenario design problems are traditionally solved by aggregation of all objectives of all scenarios int...

This paper explains the possible uses of scenarios in product design. A scenario classification is proposed as a framework to create, use and reuse different types of scenarios in a product design process. Our aims are three-fold: (1) to obtain a better view on the extent to which scenarios can be useful to a product design process, (2) to identify in which specific areas of scenario-based desi...

background: the number of people aged 60 and older is increasing faster than other age groups worldwide. iran will experience a sharp aging population increase in the next decades, and this will pose new challenges to the healthcare system. since providing high quality aged-care services would be the major concern of the policymakers, this question arises that what types of aged care services s...

The paper presents the first ever demographic scenarios for the regions of Russia. Scenarios are developed for 49 ohlusts (regions), six kruys (territories), 21 republics, one autonomous oblast and two national cities, Moscow and St. Petersburg. Five scenarios are considered: two optimistic scenarios, two medium scenarios and one pessimistic scenario. The scenarios are combinations of three mor...