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It uses object-oriented model and has a source library of classes for creating and running agent-based simulations and for displaying and collecting data from these simulations.
First-order breakage rates have been estimated using data from these simulations, and used to investigate the effect of operating and design variables in milling.
Data from these simulations were then plotted using GraphPad Prism Software (version 5.04, La Jolla, CA, USA).
Together, the data from these simulations indicate that 25-HC increases cholesterol accessibility through its effects on phospholipids, thereby decreasing membrane thickness and rendering cholesterol more exposed.
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Three machine learning models were trained with the data from those simulations.
The data obtained from these simulations have been used to train artificial neural networks, which in turn have been used for further parametric studies and design optimization.
The data obtained from these simulations were used to calculate the final size, peak size, time to peak, and epidemic duration as a function of the difference between t a and t0.
The data obtained from these simulations agree with the literature (Kuschert et al. 1998), demonstrating the crucial role of residues H23, K25, R65, K69, K72 and R73 for binding GAGs also in terms of energetics (six lowest points in the plot).
The intensity and inclination data from the simulations are shown in Fig. 7c, d.
Data from the simulations was used to inform techno-economic and environmental analyses.
Data from the simulations are compared against experimental results found in the literature.
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