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The main methodology is based on the acceleration of the simulation of stochastic models and the analysis of the obtained results, where the application case relies on a general framework for the modelling of biological systems and their stochastic behaviour called calculus of wrapped compartments.
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The main methodologies are canonical correlation analysis and stepwise regression analysis employing 245 questionnaires collected.
For each class of methods, a short description of the main idea and methodology is presented.
The main point in the methodology is concerned by the identification of primary path (noise propagation) and secondary path (compensation) models from data.
The main feature of the methodology is its simplicity.
A simple illustrative example highlighting the main features of the methodology is also presented.
The main difficulty of this methodology is obtaining of an intersection between different particles of the filler.
The main characteristic of the methodology, is that it takes stakeholders explicitly into account in all stages of the analysis.
The main limitation of our methodology is that we assume decisions made by the workers (retirement age or educational level) are exogenous.
The main advantage of this methodology is that a complex non-linear problem is reduced to an equivalent simple problem in the form of an integer-linear programming.
The main bottleneck of the methodology is the strong dependence on trial and error to find the right set of control parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com