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In most applications, the assumption that the particles are of a regular shape, i.e. spherical, cylindrical, or flat slab, is made to simplify the solution of model equations.
It is, however, difficult to determine a priori if the uncertainty is small, and in many biological applications the assumption of small perturbations either is questionable (for example in pharmacokinetics [ 1]) or has been shown to be wrong [ 13, 14].
For many record linkage applications, the assumption of conditional independence for field agreement is often violated and ignoring the conditional dependence may lead to a suboptimal record matching accuracy.
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In these applications the assumptions regarding explosion efficiency and charge strength selections have been calibrated against the results obtained through the CFD modelling, by obtaining a match of the explosion over-pressures.
In psychological applications, the assumptions tend to be justified only partially [ 53] and models with alternative assumptions are often not considered [ 54].
In practical applications, the assumptions and constraints of linear regression such as sufficient data across the entire value range, or homoscedasticity, can easily be violated for small units.
In contrast to the near field application, the assumption of the complete deposition of the ash is rather unrealistic.
In this study the economic assessment under different ORC configurations has been investigated for working fluids for different applications with the assumption that the net power output remains constant.
Finally, explicit/implicit multi-time-step co-computations with GC-CPL and PH-CPL software are conducted for two engineering applications under the assumption of linear elastic materials: a reinforced concrete frame structure under blast loading striking its front face and a flat composite stiffened panel subjected to localised loads applied to its central frame.
However, applications requiring the assumption that the dyes do not alter the cell should be undertaken with caution.
For surveillance purposes and most other applications, the underlying assumption that physically and mentally unhealthy days overlap minimally is preferred to the assumptions of more overlap that are part of other methods [ 5].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com