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A mixed model design with a qualitative emphasis allowed for thematic as well as quantitative data analysis.
To avoid the drawback of the (fixed) space-partitioned fuzzy controllers, a flexible spacial model design with fuzzy adaptive approach is introduced.
This paper addresses the implications resulting from variations in model design, with a focus on the behaviour and cognition of drivers, demonstrating how different models of choice and experience significantly influence the distribution of traffic.
The study at hand addresses calls of prior research by developing and testing a theoretical model that integrates relationship marketing into the theory of business model design with respect to the requirements of entrepreneurial ventures in the early stage of the organizational life cycle.
This was a 2×2×2 mixed model design with Exposure (Pre-exposed vs. Control) and Instructions (Recognition vs. Categorization) as between-subjects factors and List (1 vs. 2) as a within-subject factor.
In this instance, we used a model design with 6 parameters for the main effect (chimpanzee iPSC, human LCL-derived iPSC, human fibroblast-derived iPSC, chimpanzee fibroblast, human LCL and human fibroblast) and no additional covariates.
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A solution for this could be a kinetic model designed with experimental data to predict hydrothermal degradation.
Changes may lead the learning model designed with old data, to become inconsistent with the new data, so that adaptation strategies are necessary.
Evacuation and rescue principles under life-threatening situations are clarified using a simulation model designed with a Vitae System-based agent.
Finally, we will present a case study to show how a conceptual model designed with our approach can be directly implemented on top of Oracle 10g.
This study proposes a new fuzzy forecasting model designed with the use of the two key techniques, namely clustering and axiomatic fuzzy set (AFS) classification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com