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Software engineering has a problem in that when we empirically evaluate competing prediction systems we obtain conflicting results.
For simulations of the water cluster systems, we obtain an average of over 50 times speedup for a given workload.
Then for quadratic and cubic Hamiltonian systems we obtain necessary and sufficient conditions for a nilpotent critical point to be a center, a cusp or a saddle.
Applying this algorithm to rigid and deformable systems, we obtain robust and accurate simulations of frictional contact behavior not previously possible, at rates suitable for interactive haptic simulations, as well as large-scale animations.
Moreover, for most systems we obtain a fairness notion, which we refer to as SG+, such that SG+ is the strongest fairness notion that is both implementable and equivalence-robust.
When applying these results to some Lotka-Volterra systems, we obtain the criteria on harmless delay for the permanence as well as profitless delay for balancing survival.
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Depending on the different model systems, we obtained nanospheres of about 100 nm from the CeO2 synthesis and microspheres up to 17 µm in size from the TiO2 synthesis.
For SGMM-HMM systems, we obtained generally lower WERs compared to the GMM-HMM system, while the overall trend of results (improvements from speech enhancement and auditory features) was preserved.
In contrast to these prior systems, we obtained similar cellular uptake trends for NPs ZMe ZDiPen both in the presence and in the absence of serum.
In our previous studies, using recombinant proteins expressed in bacterial systems, we obtained highly pure neuronal UCPs in inclusion bodies and reconstituted these proteins into mild detergents and liposomes for structural and functional studies [ 10, 11, 21].
From such a system we obtain, explicitly, a simple hybrid system.
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