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SUVs were computed for every reconstructed time frame.
The reconstructed time sequence is summarized in Fig. 19.
We assign a separate results table for reconstructed time series.
The reconstructed time course (R1) clearly reflects the peculiar characteristics of the seizure pattern, starting with a slow oscillation and evolving into a fast oscillation.
Nevertheless, future studies employing modern PET equipment with the capability of list mode acquisition enabling flexible retrospective definition of reconstructed time frames would allow to address this issue more precisely.
Analysis of the reconstructed time courses is shown in Fig. 11.
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In order to eliminate decay correction issues when reconstructing time frames, the isotope information for the acquisition protocol was set to 68Ge (half-life, T 1/2 = 271 days).
Therefore, the most intuitive way would be to reconstruct time series of radar-derived atmospheric parameters along the UAV path in a manner identical to Fig. 6.
The validation of the results, through a direct comparison between reconstructed series and analytically (semi-empirical formulations) calculated ones, confirms the ability of the developed methodology to reconstruct time series of stability parameters on vertical breakwaters.
This method could also be applied to data before compositing, as well as to reconstruct time series for other biophysical parameters such as land surface temperature, as long as atmospheric contamination affects these parameters negatively.
The frequency and amplitude of velocity fluctuations predicted at limit cycle are used to reconstruct time resolved pressure fluctuations in the plenum and chamber and heat release rate fluctuations at two locations.
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