Exact(4)
We have shown that certain modulator models replicate the original system and noise model in a strong sense: that is we show that general quantum stochastic integral processes on the system plus noise space have identical averages in the original model with nonclassical input and in the modulated model with vacuum input.
Modulated model assembly results in an extendable TF network, which is particularly useful when additional data becomes available for new molecular mechanisms.
The RMC sized models of the incommensurate structure, where B sites were randomly assigned in a manner consistent with the occupational probability from the modulated model, were used for these the n(r) calculations.
Models of the incommensurate structure of the same size as the RMC models were derived by taking appropriate sized sections of an approximate supercell derived from the incommensurate structure; atom types were assigned randomly to B sites in a manner consistent with the occupational probability from the modulated model.
Similar(56)
Another approach for detecting selective signatures is based on detecting shifts in evolutionary substitution rates over time, for example based on covarion or Markov modulated models [ 16, 79].
From the practitioners' point of view, the most desirable characteristic of the HMM-modulated model is its tractability for applications in the financial industry.
Numerical illustration of the design procedure and observer performance with respect to a pulse-modulated model of testosterone regulation is provided.
The results suggest that the dominance-modulated model indeed captures differences in the way grammatical combination interacts with lexical representations for verbs and nouns.
These differences emerged more clearly when we separated the activation patterns triggered by inflected verbs and inflected nouns using the dominance-modulated model.
This could be achieved via a Markov modulated CAT model, similar to the covarion model [ 60], or via the use of breakpoints [ 61].
The key idea for stationary random inputs can be used in SDOF models under non-stationary random inputs that can be described by a uniformly modulated excitation model.
Write better and faster with AI suggestions while staying true to your unique style.
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