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Consistent with our earlier work [1], treating 40% of symptomatic cases (ψ = 0.4) has less effect on the spread of infection than providing prophylaxis to 30% of their contacts (ε = 0.3), and strategies that combine the two approaches are optimal, across the full range of α.
From a methodological point of view, the large diversity of clinical documentation indicates that there is room for improvement by standardisation: It is highly unlikely that all the diverse documentation approaches are optimal.
Recently, there has been some debate as to the universality of the claim that these aggressive approaches are optimal for minimizing the risk of resistance, with some researchers suggesting that more moderate approaches may perform better (Read et al., 2011) and others defending the standard approach (Ankomah and Levin, 2014).
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We prove that this approach is optimal in terms of diversity-multiplexing trade-off.
Rather, each approach is optimal for evaluations at a different stage of design and characterizes different usability aspect.
In each instance, the system-specific integrating scheme identified by our approach is optimal in the sense that it provides the best conservation of energy for harmonic forces.
The numerical results show that the approach is optimal in the sense that computational cost is proportional to the degrees of freedom.
Since there are the same number of mesh points in the x t space, the computational complexity of the proposed Eulerian approach is optimal in the sense that each grid point is visited for only O(1) time.
That is, the TLOSA approach is optimal OSA approach.
That is to say, the TFOSA approach is optimal OSA approach.
The clustering approach is optimal in the sense that overall energy utilization is minimum.
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CEO of Professional Science Editing for Scientists @ prosciediting.com