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Constraint nodes set the bounds of specified fluxes in the metabolic network according to a lookup table mapping its discrete token state to flux bounds.
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The discrete places and transitions handle discrete tokens, while the continuous places and transitions handle continuous variables.
The FOHPN marking consists of two parts: (i) discrete (tokens in the discrete places) and (ii) continuous (an amount of a fluid in the continuous places).
Hippocampome.org, in contrast, contributes a less neatly bounded set of terms exceeding 10 K discrete tokens (as estimated by the wordle.net utility, Fig. 5).
The global state of the network is given by a discrete assignment of tokens to different places (the level of each entity), and is referred to as marking.
In most instances, tokens represent discrete levels of activity, but fully quantitative description is, in principle, possible, with node token status reflecting molecular quantities.
In a signaling Petri net, tokens are discrete.
Pretraining, subjects classified P sounds into 2 discrete categories composed of tokens 1 3 (/ba/) and 5 7 (/da/), as evident from the step-like identification curve.
It enables qualitative simulation where tokens are interpreted as discrete activity levels of molecular species.
This formalism naturally lends itself to the representation of molecular interaction networks, with places representing molecules, transitions molecular interactions and tokens corresponding to numbers of molecules or discrete molecular activity levels.
The maximum numbers of tokens allowed on the network nodes are low and only a few discrete activity levels are considered.
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