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A recent study at Southbank University found that by using sophisticated methodology, through an analysis of the personal and family circumstances of a child, it is possible to predict which young ones are at risk.
Then we validated the methodology through an experimental session.
In particular, the objective of this paper is to test this methodology through an application case.
Our methodology is a mixed result of our own experience, knowledge of the state of the art in this field and the experimentation of the change methodology through an action-research case.
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This paper finally examines this methodology through a case study.
The study was based on survey methodology through a questionnaire administered on the owners and employees of small firms.
We presented our methodology through a design that is capable of 70 μm penetration inside the tissue.
First, a systematic optimization procedure of three factors involved in the enzymatic reaction was carried out using response surface methodology through a central composite design.
We demonstrate the effectiveness of the modified QRA methodology through a case study of pool fire in a hydrocarbon storage facility.
Concluding, our scope is to present a new methodology through a framework for decision making tasks using the soft computing technique of FCMs based on knowledge extraction methods.
We also explain the steps of the expected approach as well as we demonstrate the application of the methodology through a prototype.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com