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The profile of research strength in Mainland China is investigated in detail, by which we illustrate a complex network based framework to extract a landscape from detailed records.
Our first key result is an incentive bound that uses information about average (not worst-case) performance of an algorithm, which we illustrate using combinatorial auction data.
This can be used to develop an efficient method for designing distributed algorithms, which we illustrate here by deriving a distributed algorithm for assembling trees.
During the EU FP6 ACuteTox project, several prediction models were proposed on the basis of statistical classification algorithms which we illustrate here.
A consequence of this effect is the possibility of stable configurations (clusters) of compact objects, which we illustrate via a molecular two-sphere dicluster geometry consisting of two bound spheres levitated above a gold slab.
In addition, it preserves full accuracy, including higher-order rates of convergence, which we illustrate for boundary-fitted discretizations of several benchmark tests in one, two and three dimensions.
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The quality measure proposed here could be used for different types of comparisons, of which we illustrated two.
Yet on this subject as well, we note considerable internal contradictions, which we will illustrate with several examples.
Although the results included in this supplemental section do not require µAgents, the inclusion of µAgents does not lose them, which we briefly illustrate here.
The parameters on which we have illustrated the sensitivity's study are the following: Ballast thickness; Sub-ballast thickness; Super-compacted layer thickness; Embankment resilient modulus; Ballast resilient modulus; Sub-ballast complex modulus.
These complex relationships, which we have illustrated in our study findings, may ultimately help to explain the mechanisms underlying how innovations come to be sustained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com