To provide more information on the data synthesis, we showed the results calculated from both the two models.
The results show that both the two models can give satisfactory prediction.
For both the two models, our results indicate that the behavior of the specific heat is characterized by a maximum.
Except for TWP2 in simple model all the parameters are positively valued by the households and similarly, results from interaction model indicate that all the parameters in both the two models were significantly valued at either 1 or 5 % levels.
The difference in number of products to be sequenced offered the opportunity to use both of the two model sequencing solutions: the heuristic and the optimised.
Moreover, the equivalence plots of observed versus predicted AGC both from the two models showed that predicted and observed AGC were equivalent (p values >0.05 for intercepts and p values <0.05 for slopes (Fig. 4a, b).
Several studies have afterwards been carried out by adopting either the CCR model [49] or the BCC model [29], or by using both of the two models [4,5,15,24,39,56,58]. Furthermore, there are numerous studies of port efficiency which have suggested various theoretical extensions of the two basic DEA models.
Many proteins displayed significant differences between the controls and either or both of the two models reflecting EA and NA.
Several of the analysed proteins displayed significant differences between the controls and either or both of the two models reflecting eosinophilic and neutrophilic asthma.
However, after phosphorylation at Ser16, both the two models shared a similar θ value (about 30 degrees,), indicating that the two were with quite the same configurations due to the phosphorylation effect.
To assess whether the inclusion of EEG and SEP variations in the model improved outcome prediction, we compared ROC curves of four models: the final model, including both EEG and SEPs variations; the two models obtained by removing either EEG or SEP variations, respectively; and the model fitted by removing both EEG and SEP variations.
