Due to company mergers, acquisition and business to business interoperability, there is a need for model transformations in the area of business process modeling to facilitate scenarios like model translation, integration and synchronization. Thus this paper concentrates on transformations of models between different business process modeling languages. As current transformation languages provi...

Modeling languages provide a powerful technique for describing domainspecific concepts and their relationships. Since the syntactical structure is determined by a meta-model, expressions can be defined on the meta layer and evaluated for arbitrary instances. Currently, meta-modeling standards lack an easy way for defining rules capable of dynamically examining the behavior of a model. In this p...

conclusions graft failure is more likely to occur in patients with higher serum creatinine levels. results there was a positive association between the serum creatinine level and graft failure (hr = 5.13, p < 0.001). a one unit increase in the serum creatinine level suggests an increased risk of graft failure of up to 5.13 times. the serum creatinine level significantly decreased over time (95%...

since direct experimental evidence is not available, this must be verified through a modeling approach, providedadequate data be available. many statistical methods are used to study the relation between independent anddependent variables.this research was carried out at the western part of jazmurian basin tlocated in the southeast ofiran. in this paperused ten physical characteristics such as ...

One of the most famous methods to predict the stiffness of short fiber composites is micromechanical modeling. In this study, a Representative Volume Element (RVE) of a beech wood flour natural composite has been designed and the orientation averaging approach has been utilized to predict its stiffness tensor. The novelty of this work is in finding the proper fiber orientation distribution func...

in this paper, a new approach of modeling for artificial neural networks (ann) models based on the concepts of ann and fuzzy regression is proposed. for this purpose, we reformulated ann model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ann models. hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility. in ...

The mathematical modeling of a gas network is a powerful tool in order to identify the behavior of system under the different conditions. The modeling can be performed both for the steady state and unsteady state conditions. It is possible to use the fluid flow basic governing equations or the electrical analogy concept for developing the model. The second approach provides a simpler and more r...

This paper describes the application of a framework for text analysis to the problem of distinguishing unusual or non-standard usage of words in large corpora. The need to identify such novel uses, and augment machine-readable dictionaries is a constant battle for professional lexicographers that need to update their resources in order to keep up with the development of the dynamic and evolving...