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These analyses are convenient as they make it possible to identify coefficients that most differ among models.
Full scale tests considering one fuel assembly are performed to identify coefficients (added mass and damping) that will be used as inputs in the models.
Averaged data, taken from at least 10 trials in which the animal performed SP, were then used to identify coefficients in the following model: In the equation described above, E t) denotes the eye position at time " t," R t) denotes the retinal error position at time t, and FR t) is the estimated value of the unit spike density function at time t.
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In addition, the number of identified coefficients decrease significantly.
Then the roll motion is predicted by using the identified coefficients.
The identified coefficients and parameters in the previous sub-sections are used in the numerical simulation here.
The identified coefficients are compared with the known values to validate the applicability of the identification method.
This allows to quantify the impact of missing experimental information on the accuracy of the identified coefficients, as well as on subsequent predictions.
The test-section was designed to identify stiffness, damping and mass coefficients of a fuel assembly under axial flow, and previous studies have shown that the by-passes have an influence on the identified coefficients.
Then the random decrement signature of the roll motion is predicted by using the identified coefficients and compared with that obtained from the model test data, and satisfactory agreement is achieved.
Although the identified coefficients from the present healthy sample are only minor to medium in magnitude, it is to note that two traits might be only rudimentarily related in the healthy brain, but might show stronger links in the pathologically altered brain (e.g. hypoperfusion preceding gray matter atrophy).
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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