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To create the FE models, nodes are placed at the locations of carbon atoms and the bonds between them are modeled using three-dimensional elastic beam elements.
For the models, nodes are deployed according to their network configurations.
In these models, nodes are assigned to one of two classes: Susceptible if the node can be infected with a disease, and Infected if the infection happened.
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In our model, nodes are randomly chosen as the source nodes.
In SIS model, nodes are also divided into two statuses: susceptible (S) and infected (I).
In SIR model, nodes are divided into three statuses: susceptible (S), infected (I), and removed (R).
In SI model, nodes are divided into two statuses: susceptible (S) and infected (I).
In their model, nodes are vulnerable and links have criticality values.
In the Manhattan model, nodes are geometrically separated, avoiding a large concentration of nodes and leading to less routing path alternatives.
To detect collision between the spatula model and the brain model, nodes are discretely located on the two parallel planes of the spatula model as shown in Figure 5a.
In this model, nodes are labeled with protein names.
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CEO of Professional Science Editing for Scientists @ prosciediting.com