Sentence examples for sparsely evaluated from inspiring English sources

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However, to date, this new method has been sparsely evaluated against gravimetry [ 13, 14], and further validation is needed.

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Finally, this kind of theory-based educational intervention with interactive learning activities has been sparsely researched and needs to be evaluated further in larger projects.

Porphyroclasts occur sparsely (Fig. 16a), but rotation directions have not been evaluated.

In Botswana, for example, a sparsely populated desert country where many teachers have died of AIDS, a free three-month Internet-based course evaluated by the University of Botswana boosted students' test scores by half.

Sparse fitness evaluation in the form of a stochastically changing sparsely sampled environment significantly increases the success rate of evolutionary runs in comparison with the original static scheme, which evaluated just the three standard environments ([ Aout] = 0.1, 1, and 10).

Typically, these studies include a relatively densely sampled pharmacokinetic study arm, implemented for a descriptive pharmacokinetic analysis, and a larger relatively sparsely sampled efficacy arm, which may have been implemented to evaluate the correlation between pharmacokinetic and pharmacodynamic endpoints.

Strong motion data and damage information from intrusive inspections collected from 24 sparsely instrumented buildings following the 1994 Northridge earthquake are used to evaluate the proposed method.

The simulation studies of the hypothetical drug and the anti-malarial drug dihydroartemisinin demonstrated that the simulation-based power calculation methodology, based on the Monte Carlo Mapped Power method, can be utilised to evaluate and determine the sample size of mixed (part sparsely and part densely sampled) study designs.

We will be forced to re-evaluate our 98% coverage target for the end of next year, and sparsely populated rural areas are, as we all know, at risk the most".

To evaluate this framework, 10 resting state networks (RSNs) were manually labeled from the sparsely decomposed networks of Human Connectome Project HCPP) fMRI data and 5275 network training samples were obtained, in total.

Subsequently, simulation-based power calculations can be performed to evaluate the sample sizes for different study designs consisting of part densely and part sparsely sampled patients.

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