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7. Interface of the metapopulation model, allowing the user to define the network topology as well as the mobility rates and the initial distribution of the population. This allows us to observe not only the dynamics of single nodes, but also those unfolding at the level of the whole network. For a color version of the figure, see www.iste.co.uk/banos/netlogo2.zip
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In this chapter, we will discuss coupling models with different scales to describe the propagation of a virus within a population. This population is distributed throughout a set of cities connected by airline routes. Population movements between cities enable the virus to travel, carried by infected individuals. In each city, the description of...
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... As a consequence, running an experiment required to create an experiment agent and to execute its behaviour (that is the scheduling of all its internal agents) similarly to executing any in-simulation agent. In addition, the environment of the agents is itself an agent, with its own attributes and dynamics 22 . ...
... Conversely an individual agent can be extracted from the macro scale agent to act autonomously. To this purpose, the aim is to extract a single (or a set) of agents that are representative of the whole macro scale agent by using a proportional draw: for each individual to be extracted from the macroscopic agent, we randomly choose its epidemic state with a probability depending on the rate of individuals in the macroscopic agent with this state (for the MicMac model, the algorithm is detailed in [22]). An extracted agent will be removed from the macroscopic agent (the stock with its state is decreased by 1). ...
... In addition 414 people have been injured and the cost of the disaster is estimated to $4 billions [185]. All data comes from the 2009 Victorian Bushfires Royal Commission final report 22 . ...
In this work, polyethylene-glycol (PEG)/q-SiO2, (silica quartz) composites were prepared by dispersing q-SiO2, in various fractions, i.e., 0, 20, and 40 wt.%. We elaborated the silica dispersion in the polymer matrix from the previously reported solid method (reported in [1]) and a liquid method. In the latter, the dispersion of q-SiO2, in the matrix was done by a stirring process in the liquefied polyethylene glycol with temperature control. The filler content and mixing method were selected to optimize the dynamic mechanical properties of composites, especially, the shear moduli (G' from the Dynamic Mechanical Analyzer (DMA) instrument. The maximum shear modulus value was found with 40 wt.% q-SiO2, by the liquid method, which showed 46% increment as compared to 40 wt.% q-SiO2, by the solid method. We showed in this work that the dynamic mechanical properties are tightly related with the dispersion of the filler in the matrix. The quantitative analysis of filler dispersion was done using PixelProfile software and dispersibility characterization from SEM-EdX images. We analyzed each image in three regions by RGB (Red-Green-Blue spectrum). The lower the dispersibility index (Idispersibility), the better the filler dispersion. By applying the liquid method, the dispersibility indices were 0.357 for 20 wt.% and 0.705 for 40 wt.%, better than solid method.
