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As presented in the section on the purpose of cross-sectional studies, sometimes probability prediction models will also be useful.
We provide two sets of toy model parameters - the first set defines dynamics robust against thermal fluctuations that mimics the results presented in the section "Simulations of Pacman-like Nanodot".
Finally, perspectives on the theoretical modeling and simulation in the field of self-assembly of copolymers in solution are presented in the section of concluding remarks and outlook.
The model's learning phase is presented in the section.
Finally, some concluding remarks are presented in the section "Conclusions".
Q a used under RBF and SUS-ee system will be presented in the Section 4.3.
Pattern matching and empirical evaluation procedure will be presented in the section analyses.
In order to estimate frequency distributions, we employed the methodology presented in the section 'Frequency distribution'.
Fig. 1 The 2 × 2 grid resulting from the proposed taxonomy presented in the section "Taxonomies of embodiment in education".
Implementation and experiments, with a discussion of phase transitions, are presented in the section "Results and discussion".
The details of the different techniques used for each learning scheme are presented in the Section 2.3.
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