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For example, this parameter can be used to decouple risk adjustment contribution growth for young adults from the growth rate of the remaining adults, which is the main driver for the observed increases in younger age groups (c.f. Results).
For example, this parameter has been shown to be sensitive to 'non-motivational' manipulations such as changes in the response requirement [1,43,46] and the ratio step size [33,45].
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In this example, the parameter selection is straightforward, although it can be a bit more complex in general.
The stochastic version of the model, on the other hand, keeps track of individual patients and in this example, the parameter x is the daily transition probability for an individual patient rather than a rate for the population at large Thus, a patient of the S0 state has a probability of x per day of being spontaneously cleared of the infection.
Note that in this example the parameters of the equation satisfy the conditions of the main results of the papers [9, 11, 12].
An example that illustrates this parameter is Cirrus Logic, a chipmaker.
An example that illustrates this parameter is Cirrus Logic crus, a chipmaker.
For example, by varying this parameter we see the change of a kinoform lens from pure refraction to diffraction.
In the treated example, the parameter ρS/EI and the fourth derivative ∂4v/∂x4 are computed.
Therefore, we can approximate this condition by a hight rate (r) of positive examples in each block (for example, the parameter (r) may be (90,%)).
In the example, the parameter θ in Algorithm 2.1 is chosen as θ = 0.2.
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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