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(4) Performances of 3 methods of force-displacement curve modeling were compared with respect to stiffness estimation.
Detailed experimental design and durations are shown in Table 1.1 The predicated data from ASAPprime® modeling were compared against real-time stability data to validate the approach (Table 2).
In this study, response surface methodology (RS M and artificial neural network (ANN) modeling were compared in terms of their estimation capabilities for building effective models with maximum response values.
To investigate the exact release kinetics of polymer-coated drug/ion-exchange resin complexes for sustained drug delivery, the results of new mathematical modeling were compared with experimental results.
Three statistical approaches, namely conditional analysis, Mendelian randomization, and structural equation modeling, were compared to investigate causal relationship at sets of a single nucleotide polymorphism, a metabolite, and a lipid trait associated with one another.
Similar(55)
The results of numerical modeling are compared with experimental data.
The performances of different models were compared.
The models were compared using the Deviance Information Criterion.
The two numerical models were compared.
In this study three different models were compared.
The in-situ model testing and numerical models were compared.
Related(20)
simulation were compared
modeling were evaluated
design were compared
modeling were combined
modeling were explored
designs were compared
modeling were developed
modeling were performed
modeling were discussed
modeling were undertaken
modeling were investigated
modeling were reviewed
modeling were carried
modeling were re-clustered
modeling were applied
modeling was compared
modeling were used
modeling were minimized
modeling were formulated
modeling were correlated
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