plant tissue culture techniques are used as basic requirement of common plant transformation systems. in most cases of plant transformation, a reproducible regeneration protocol is the limiting step due to long time lasting, specialized facilities and well experienced persons. furthermore, tissue culture procedures induce somaclonal variation among regenerated transgenic plants. therefore, rece...

In this paper we show how translation from QVT-R to an intermediate semantic representation can be used to support analysis of QVT-R specifications. We use the UML to RDB case study to illustrate the approach.

Viatra2 (VIsual Automated model TRAnsformations) is a general-purpose model transformation engineering framework that aims at supporting the entire life-cycle, i.e. the specification, design, execution, validation and maintenance of transformations within and between various modeling languages and domains in the MDA. This paper reports on the current status of the tool and sketches some future ...

organizational culture has a considerable impact on investment and acceptance of a new technology system such as knowledge management and especially it can be led to success or failure of knowledge management programs in organization. according to scientific evidences, human characteristics are effective on knowledge management and the process of knowledge management by people contains their pe...

In this paper wave transformation in a submerged sloped breakwater and its hydraulic performance was simulated by developing a numerical model in Fortran. The code was established by combining porous flow and a two-phase model using VOF method. Modified Navier-Stokes and k-ε equations implemented to the model to simulate the flow in porous media. Cut cell method was modified to simulate...

Jahanshahloo et al. (Appl Math Comput 153:215–224, 2004) propose a method for ranking extremely efficient decision making units (DMUs) in data envelopment analysis (DEA) using super-efficiency technique and l1-norm and they show that the presented method is able to eliminate the existing difficulties in some methods. This paper suggests an alternative transformation to convert the nonlinear mod...

in this paper, we introduce a hybrid approach based on neural network and optimization teqnique to solve ordinary differential equation. in proposed model we use heyperbolic secont transformation function in hiden layer of neural network part and bfgs teqnique in optimization part. in comparison with existing similar neural networks proposed model provides solutions with high accuracy. numerica...

Some quality characteristics are well defined when treated as response variables and are related to some independent variables. This relationship is called a profile. Parametric models, such as linear models, may be used to model profiles. However, in practical applications due to the complexity of many processes it is not usually possible to model a process using parametric models.In these cas...