Sentence examples for gained in using from inspiring English sources

If so, then experience gained in using the confidence-weighted multiple-choice format might well change the degree to which students engage in productive retrieval about all alternatives when taking standard multiple-choice tests as well, allowing them to maximize the benefits of either type of test-taking practice for their performance on later examinations.

Most remarkably, the extension of these ideas to the nonlinear range is accomplished avoiding the use of multi-stage formulae, given the freedom gained in using general nonlinear relations, while preserving the conservation laws of the momenta and the corresponding relative equilibria.

To shed further light into these approaches, this paper is written to review the sound quality process and neural network models, and extend these introductions into a discussion regarding the value that can be gained in using an intelligent systems approach, namely ANNs, to sound quality analysis.

As regions of interest with relatively high frequency of LOH candidates are still identifiable in smaller output sets, and as the LOH candidates assigned the highest probability scores by VarScan also tend to be returned by SomaticSniper and, to a slightly lesser extent, by Strelka as well, no obvious benefit is gained in using VarScan or JointSNVMix to return greater numbers of LOH candidates.

In the third set of mixed doubles, they play a super tiebreaker, which is the first to 10 points, winning by 2. The super tiebreaker has been gaining in use.

While flexible methods such as karyomapping are gaining in use, these require related samples such as grandparents or other family members/specimens to phase variants at the outset [ 19, 36, 37].

This section will provide a simple example to illustrate the gain in using the negative information.

Comparing with the DRA, we have the same gain in using the proposed algorithm as in the first scenario.

Moreover, the gain in using a complex case of superposition modulation increases when the SNR gap between users decreases.

Furthermore, the spectral variables from the two methods produced similar correlation coefficients with biomass, with no gain in using the second approach which was finally discarded.

There is not a notable gain in using one algorithm over the other, but the precision and specificity seem to work better for the parallel algorithm.