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Data visualisation tools enable us to bunch different samples (in this case, concerts) into similar groups and present the differences between them.
For illustrative purposes, we present the differences between kinematic variability that arise from standard SDN (Fig. 2a, b) and from extended SDN (Fig. 2c, d) as produced by a single joint two-muscle model of the human elbow.
To succinctly present the differences between the type I and type II behaviors, we plot representative bifurcation diagrams (Fig. 1)– diagrams that show the equilibrium points dependence on <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0010010.e080.PNG" class= inline-graphic"/>.
At the end of the section we also present the differences between the approach of the aforementioned two projects and the JGRC project.
Then we present the differences between sampling methods for CV together with the comparison of the models and the model selection strategies.
However, at present the differences between the 3-D-model results and the measurements (Figs. 3 and 4) are too large for such an approach.
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(2) Transparently present the difference between actual and tax-reportable vehicle expenses used in the business.
More distribution points around the 45° line present the difference between the actual and predicted values.
We present the difference between these means, as well as the 95% confidence interval for this difference.
In this section, the simulation results present the difference between GSSMS and fixed numbers of Spine switches as captured by ANASS and PF for a datacenter.
The other two case studies present the difference between theory and reality during construction stage of auger cast-in-place piles (ACIP) in difficult subsoil conditions.
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