Mixed method research has becoming an increasingly popular approach in the discipline of sociology, psychology, education, health science and social science. The purpose of this paper is to describe the application of mixed method in developing a cyber terrorism framework. This project has two primary goals: firstly is to discover the theory and then develop a conceptual framework that describe...

Abstract: Minimizing the work consumed in refrigeration system is the most effective measure to reduce the cost of products in sub-ambient chemical processes. The introduction of mixed working fluids into refrigeration system in place of pure working fluids is a recent advancement applied in the field. Due to the lack of systematic design method for Mixed Refrigerant Cycle (MRC), conventional a...

this is the first attempt at process modeling in terms of predictive control using a hierachical method based on regression analysis and artificial neural networks (anns). this hierachical method leads to the reliability improvement of neural model of the process in predicting (extrapolation and interpolation) the process output. such an outlook makes it possible to predict the proper input set...

there are two main methods for preparing the puramatrix (pm) as a three-dimensional (3-d) scaffold for supporting the cells including surface plating and encapsulation. in the surface-plating procedure, the scaffold is created by adding an ionic agent such as medium to pm. after adjusting the ph by changing the medium, cells are seeded on top of the scaffold. in the encapsulation method, pm and...

A new approach for analyzing cracked problems in 2D orthotropic materials using the well-known element free Galerkin method and orthotropic enrichment functions is proposed. The element free Galerkin method is a meshfree method which enables discontinuous problems to be modeled efficiently. In this study, element free Galerkin is extrinsically enriched by the recently developed crack-tip orthot...

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Many engineering design problems involve a combination of both continuous anddiscrete variables. However, the number of studies scarcely exceeds a few on mixed-variableproblems. In this research Particle Swarm Optimization (PSO) algorithm is employed to solve mixedvariablenonlinear problems. PSO is an efficient method of dealing with nonlinear and non-convexoptimization problems. In this paper,...