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Although we could intuitively observe that the function (tanh(x)) is eminently suitable for correlation modelling, one can still ask whether other functions having values inside the interval ((-1,1)), like trigonometric functions or (frac{2}{pi}arctan(frac{pi}{2}x)), (xinmathbb{R}) can also be applied for this purpose?
By combining neural fields with dynamic causal modelling, one can quantify important aspects of cortical microcircuitry, like cortical excitability and the spatial reach of horizontal connections that mediate receptive field properties [ 23,24].
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With some modelling changes one can evaluate whether the intervention varies in relation to population characteristics (practices or patients, in the QOF context).
Thus one can use this framework for modelling indices that are based on health outcome measurements with different scales including continuous scale and categorical outcomes.
For example, one can be influenced by peers (verbally, actively or through modelling), and these types of influences can play a role in people's decision to behave in a certain manner [ 20– 20].
In order to mimic real data scenario, one can introduce noise in the measurement through mis-modelling in simulations (Wang and Ren 2013).
One can thus conclude that the computationally more demanding RST is not necessary for modelling-induced seismicity.
"In modelling, one should also consider the paradigm shift or non-linear changes in the trends," said Qin.
One can understand why.
One can but dream.
Indeed, no one can.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com