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The data support the developed model which can be expressed by the following correlation: ƞCE = 1.104 REL1/31 + [ ΔPZ /pLg]GaL1/9 This correlation is also in good agreement with the data correlated previously at atmospheric pressure and provides the means for assessing liquid-catalyst contacting at all operating pressures.
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In order to support the validity of the developed model, the predicted results of a validation case are compared with the experimental results reported by Tan [1] and are found to be in good agreement.
A good agreement between predictions and experimental data is observed, supporting the reliability of the developed model.
The performance of the developed model is compared with Support Vector Regression model and Fuzzy Support Vector Regression model.
Then, the developed model identification procedure, supported in a robust optimization algorithm, is presented.
Overall, corporate culture differs between conventional and complementary medicine; when planning the implementation of an integrative medicine department, the developed model and the checklist can support better integration.
The developed model of sustainable IC for HCOs can support healthcare managers to test the contribution of IC assets to sustainability.
The developed model could be valuable for many uses, involving support for a better understanding, and even prediction, of the behaviour of religious individuals.
The developed model could be regarded as an applicable tool for decision support to provide a better understanding in planning and policy analysis.
The developed model thus aid the planners of an eco-industrial park in assessing which among the prospective support tenants would best complements an existing anchor tenant.
The developed model is also plotted (surface).
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