Results show that model 4, the four-dimensional model (see Table 1), is superior: it has lowest AIC, AICc, and BIC values, and the likelihood-ratio tests show statistically significant improvements in model deviance compared to both of the 2-dimensional models.
Results show that model 4, the eight-dimensional model (see Table 1), is superior: it has lowest AIC, AICc, and BIC values; and likelihood-ratio tests show statistically significant improvements in model deviance compared to both of the 2-dimensional models.
Although we were able to classify 234 (89%) articles, we still had 29 (11%) that could not be assigned into our adapted one-dimensional model (see cells with white background in Figure 2).
The uni-directional model was constructed as a two-dimensional (2D) axisymmetric model (see Figure 1), and the multi-directional model was built up as a 2D plane strain unit cell model (see Figure 2).
This difference in evolution, as compared to (xi _{6}), is representative for all twin canard orbits (xi '_{1})–(xi '_{16}), and was also found in the reduced three-dimensional Hodgkin–Huxley model; see [36].
For this purpose, we use a numerical simulation approach with three-dimensional visualisation of the quasi-potential landscape associated with the phase portrait of our toggle switch model (see the Model and methods Section, for details).
In this study, in order to verify old mortar distribution obtained from image analysis (Abbas et al. 2009), a two dimensional model will be constructed, see Fig. 1.
In particular, researchers have developed a computerized method for detecting facial features using three-dimensional facial imaging and computer-based dense-surface modeling (see figure 3).
Therefore, in determining the 3-D (dimensional) structure of a protein by experiments (see, e.g., [29], [30]) or by computational modeling (see, e.g., [28], [31]), the first priority was always focused on its FunD.
That is why in determining the 3-D (dimensional) structure of a protein by experiments (see, e.g., [48], [49]) or by computational modeling (see, e.g., [47], [50]) the first priority was always focused on its FunD.
While the experimental data of the primary stimulation agree quite well with the model results the cellular response to restimulation is much faster than predicted by our present one-dimensional model (priming effect, see Discussion).
