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The model exhibits two equilibria: the disease-free and endemic equilibrium.
It shows that this model exhibits two bifurcation phenomena at the intersampling instants.
It is shown that the model exhibits two equilibria, namely, the disease-free equilibrium and the endemic equilibrium.
Other parameters are the same as in Figure 2. To conclude, our results show that depending on the strength of outward BK currents, the model exhibits two distinct patterns of parameter dependence.
Berryman and Millstein [3] investigated an SVEIS epidemic model for an infectious disease that spreads in the host population through horizontal transmission, and they have shown that the model exhibits two equilibria, namely, the disease-free equilibrium and the endemic equilibrium.
The AsymmMK model exhibits two parameters, describing the forward and backward transitions between states.
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This model exhibits three main difficulties.
This model exhibits three steady states, two stable (solid lines) and one unstable (dashed lines).
In particular, we show that they arise in well-known neuronal models exhibiting three different classes of bursting: sub-Hopf/fold cycle bursting, circle/fold cycle bursting, and fold/fold cycle bursting.
The model exhibits all three growth regimes.
Our model system exhibits three magnetic phase transitions, one due to the magnetically doped matrix material and the weak magnetic interaction between the nano-structures in the system.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com