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The fraction of k-mers which are ambiguous gives a worst-case view of how Xenome might be expected to perform.
An average and a "worst case scenario" shape in A-P view in a 2-D computer model of a scapula was created, using data from 200 "normal" scapulae, so that the position of the glenoid and humeral component could be changed as well as design features such as depth of the polyethylene insert, the size of glenosphere, the position of the center of rotation, and downward glenoid inclination.
Studying "early adopters" could be viewed as a worst case scenario.
In addition, this also provides a worst case scenario from an interference point of view.
We here consider a quantization approach to Gauss mixture design based on the information theoretic view of Gaussian sources as a "worst case" for robust signal compression.
We are not ameliorating a worst case; the worst case is unknown because the horizon of uncertainty, α, is unbounded.
From an application point of view, both algorithms provide real improvement of the robust performance; compared to the baseline controller designed using a worst case approach.
Scenario A – Worst case scenario (BAU).
It has a worst case retention time of 175 μs.
A worst case (complete overlap) estimate is given by.
Such applications represent a worst case for virtual memory mechanisms.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com