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While the binary oscillator model was originally developed to explain the peculiar phenomenon of "splitting" and "re-fusion" of morning and evening activity bouts in mammals in response to constant light, this model has recently been adapted to account for the bimodal activity pattern in Drosophila melanogaster.
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A Morse oscillator model was used to represent covalent bonding in the conjugate gradients minimization step, while a harmonic oscillator approximation was utilized for the steepest descents protocol.
In [8], the memristor oscillator model is based on the circuit model in [2].
The oscillator model is used to describe this phenomenon of spectrum blueshift[30, 31].
The discrete oscillator model is discussed by using Neimark-Sacker bifurcation theory.
The results of the anharmonic coupled oscillator model are depicted in Figure 3 in the center column.
Likewise, clarification of the contrasts and overlap between the evening-morning oscillator models and core-shell oscillator models is needed.
Applicability and limitations of the standard nonlinear nano-oscillator model are discussed.
The coupled oscillators model is employed to fit the dispersion relation [17, 18].
Binary logistic regression model was estimated using the Entry method.
The predictive model was created using a binary logistic regression.
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