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Only participants with a baseline and follow-up evaluation for each outcome measure contributed data to the longitudinal analyses of the measures depicted in Fig. 1.
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Typical performance of one, moderate stage patient, in a single tracking task and in a single tracing task, along a circular path, is illustrated in figure 2. It can be seen that neither tracking nor tracing are smooth and that the measures depicting VMC performance errors have high values relative to mean normal control values that are taken from our previous database.
It should be emphasized that these measures depict the inference ability of three algorithms on the same underlying network.
Statistical analysis of the correlations between measures depicting various aspects of VMC control and UPDRS items was performed.
The whole set of measures depicts a situation very similar to the one described by simulation group 2 with M = 1 (see Simulations section and compare Fig. 8E G with Fig. 5E G).
To date, few pilot studies focusing on animal-assisted therapeutic effects have met minimal standards of research design and have included standardized outcome variables or physiological measures, depicting the need for scientific research on animal-assisted therapy.
In contrast, blood glucose measures depict blood glucose at one point in time and this value can fluctuate hourly.
Normalized log-likelihood measure, depicted in this figure, was computed through the following expression: Figure 5 Normalized log-likelihood with respect to the number of leaves computed for each state of HMM.
As a reference, the measured spectra depicted in the previous figures together with the calculated spectra shown in Fig. 3 are also included, in order to evaluate the contribution to the spectra of each incremental step in model complexity.
The results of this procedure for the BBG numerical case study can be seen in Fig. 6 a and 6 b, where the nominal model predictions are shown by dashed line together with the range of the measured data depicted by error bars.
Generally, resilience measure depicts the additional capacity in the network and by increasing pipe sizes, resilience can be increased.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com