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We found that for inferior group members, a conjunctive task was the most effective for the performance of learning Italian vocabulary.
The insights gained by applying our methodology do not consist only in deciding whether a mobile paradigm is effective for the performance improvement of a given application, but also how to use the paradigm, that is where a component should move, based on a certain type of performance indices.
Compared with other supervised learning based methods (e.g. Qi et al.[ 15] and Shi et al.[ 16]), our method introduces some new features from the weighted network: the density, the mean and maximum degrees of the weighted network, which prove to be quite effective for the performance improvement.
Better performance of our method over other two supervised learning based methods, Qi et al. and Shi et al. may be due to the following three key reasons: (1) Firstly, as discussed in previous section, our method introduces some new features from the weighted network: the density, mean and maximum degrees of the weighted network, which prove to be quite effective for the performance improvement.
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On the other hand, the two-tier approach turned out to be not as effective for improving the performance against our stand-alone rule-based system as it was for improving the baselines.
Radical-nitriding was effective for improving the performance of the cutting test of Cr Mo steels using surface modified tools.
In the synthesis of tracking control systems, the compensation signal, which is applied in the finite-horizon time, is effective for improving the performance of controlled system.
The use of PTHF/glycerin binder is theoretically effective for enhancing the performance of AN-based propellant, but the combined AN/PTHF/glycerin propellants failed to ignite; they only generated a flashing flame at the ignition event.
Simulation results show that MCSA-EDA is effective for improving the performance of the conventional CSA and is better than or at least competitive with other existing metaheuristic algorithms.
Cognitive Orientation to daily Occupational Performance (CO-OP) approach has been shown to be effective for improving the performance of tasks worked on in therapy and the use of cognitive strategies.
Experimental results show that SLADE is better than, or at least comparable to, other classic or adaptive DE algorithms, and SLHD is effective for improving the performance of SLADE.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com