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All patients start without retinopathy or maculopathy (R0M0) in the maculopathy comparison model, no patients die for simple comparison between paths, and, for simplification and to mimic a cohort-style study, no new patients are added over time.
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Then, distance comparison between path k and path a may not be realized.
To address this problem, we develop an algorithm to allow direct comparisons between paths in the two intermediate de Bruijn graph structures by an iterative extension strategy (see Figure 1).
The VPH+ algorithm took an average of 249.7254 s, while the CVPH+ algorithm clocked an average time of 224.3952 s. Figure 20 shows the comparison between the paths taken in the more complicated obstacle course shown in Fig. 18.
The nested loop structure indicates a comparison between a path against every other path, which is of complexity (O |X|^2|Y|^2)).
It is complicated in this case as there are a lot of comparisons between existing paths and a new path.
A first comparison between the measured path loss PLmeasured and the predicted path loss PLpredicted in the symbiotic network yielded an average prediction error δ = PLmeasured − PLpredicted of − 3.9 dB and an average absolute prediction error |δ| of 6.8 dB.
The proposed forest plot discloses and summarises the essentials of a given network-based treatment comparison: the weight given to each path, the consistency between all paths, the comparison between the estimate based on the approximation and on the whole network, and the residual evidence that is not included in the approximation is condensed into a pseudo estimate.
The comparison between and the predicted path loss shows that the difference in their values is characterized by a standard deviation dB.
The comparison between numerical and observed crack paths well shows that the predictions are sensitive to grey level distributions and mesh refinement.
The comparison between the characteristics of the paths allows to conclude that drivers select routes that are overall longer than their optimal alternatives but that allow for higher speeds.
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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