Moreover, arbitrary high order degree of basis functions can be used and their regularity enables the use of a low number of elements.
Moreover, arbitrary thresholds are used for selecting genes from the examined data sets, and the procedure seems to be different for each data set, with little motivation or justification, nor is the robustness of results towards these choices examined".
Moreover, for arbitrary z, w ∈ W | f ( t, z ) − f ( t, w ) | = | cost | | z 2 − w 2 | ≤ 2 ρ | z − w |, so the hypothesis of the Theorem 2.5 holds.
Moreover, for arbitrary (x_{1},ldots,x_{k}in_{k}in X), there exists a sequence ({x_{n}}) in X such that (x_{n+k}in T(x_{n},x_{n+1},ldots,x_{n+k-1})) for all (nin mathbb{N}) and ({x_{n}}) converges to a fixed point of T. In this section, we apply the results of the previous section and establish some fixed point results for Prešić type operators in various settings.
Moreover, several arbitrary and unjustified thresholds were used for selection of GOBP to be tested and for identification of enriched GOBP; the sets of enriched GOBPs obtained for each pair of prognostic gene lists were not compared directly, but each was compared to the list of core pathways defined above; only one database of biological pathways and processes was used for the study.
Moreover, given an arbitrary closed subset S of the non-negative reals, we construct domains Ω = Ω(S) such that the essential spectrum of the Neumann Laplacian on Ω is just this set S.
We require additionally a m b m + 1 > 0 and a 0 b 0 > 0. Let moreover for two arbitrary but fixed j, k ∈ Z the sets J j + : = ( q j + 1, q j ), J k − : = ( − q k, − q k + 1 ) (61).
Moreover, as any arbitrary shape could become a dependency element, individuals could not decide on the correctness of a pattern by looking merely at either the first or the last element.
Moreover, the logic allows arbitrary combinations of existing privacy requirements, so we can express compound privacy criteria.
Moreover, we approximate an arbitrary delta 6-convex function by smooth ones and derive weighted energy estimates for the derivative of delta 6-convex function.
Moreover, categorizing patients into arbitrary strata with "very low" (≤ 1%), "low" (> 1% to ≤ 3%), "intermediate" (> 3% to ≤ 6%), and "high" (> 6%) probability of carriage was only accurately achieved with the corrected model (Table 3); specifically, the uncorrected model classified 299 patients into the "intermediate" category, although their observed probability was 1.7% (instead of > 3%).
