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The good correlation between the experimental and simulated results shows that the used model is able to estimate whether the material is conducting or non-conducting.
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As can be seen, independent of the criterion used, each model is able to improve the data fit.
The purpose of using models is to be able to tackle complexity; since we constantly see complexity becoming the norm for current day technology.
Using Bayesian statistics, the model is able to identify 25%% of the total pipes in the network where failures are most likely to occur (Pradhan et al. 2014).
Using estimated frequency distributions, the model is able to estimate constant growth rates for log(EXT) and log(TOF) measurements, as well as the number of aspirated nematodes.
For the stationary patterns used in this paper, however, the model is able to qualitatively describe the results.
Using content related information, the proposed model is able to adapt to different video contents.
Once the baseline simulation was validated, it's reasonable to assume that the used climate model was able to reflect the meteorological processes which it was designed to capture.
They reported that the 3D FDM simulations using this model were able to successfully reproduce the observed Love waves at seismic station SIT003 (K-NET Kuki; red triangle in Figure 1) in the northern Kanto Basin.
The model, which was developed using cox modelling, is able to calculate the probability for a given patient receiving the described therapy to be alive at a given time and can be used to identify patients with the best and worst survival chances (Table 4).
Previous experimental studies have suggested that inclusion of specific angiogenic chemokines in matrigel injected in vivo using murine models is able to promote a suitable microenvironment for recruitment of specific cell infiltrates [4], [16], [17].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com