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In this technique, a sequential classifier is proposed wherein the classes which require stringent boundaries are tested one by one and once the tests for these classes fail, the stringency of the classifier is increasingly relaxed.
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The performance illustrated a kind of lived wordplay that extends beyond the page, fusing textual depictions of pain with the visceral discomfort of familial boundaries being tested before a live audience.
The convergence, stability, and computational efficiency of the 3-D LBE models with the boundary treatment for curved boundaries were tested in simulations of four 3-D flows: (1) Fully developed flows in a square duct, (2) flow in a 3-D lid-driven cavity, (3) fully developed flows in a circular pipe, and (4) a uniform flow over a sphere.
The proposed treatment for curved boundaries is tested against several flow problems: 2-D channel flows with constant and oscillating pressure gradients for which analytic solutions are known, flow due to an impulsively started wall, lid-driven square cavity flow, and uniform flow over a column of circular cylinders.
Those boundaries were tested against the location of RefSeq genes (NCBI build36/hg18) for overlap.
Although obtained using the representative sets of initial conditions, the phase boundaries were tested and confirmed by employing 10 random initial conditions for D = 0.001 with α / β ∈ [3,4].
The depth of this boundary was tested even for non-realistic values to infer its influence on results.
With this model the sensitivity of goodness-of-fit with respect to a variation of the categorical boundary was tested.
Again, with the latter model the sensitivity of goodness-of-fit with respect to a variation of the categorical boundary was tested.
First-order, second-order, and exact nonreflecting boundary conditions are tested on rectangular and circular boundaries.
Two specific cases of nanoparticle edges and grain boundary interfaces are tested in the following sections.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com