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Technology by itself does not contribute much to education that is why the aim of this research is to present and evaluate methodology for visualisation and production of electronic materials in mobile environments.
This review is part of a series of reviews on behalf of the Prevention of Falls Network Europe (ProFaNE) which evaluate methodology in RCTs of fall prevention interventions in older adults.
Our main objective was to propose and evaluate methodology that takes advantage of any potential sparsity in the inverse of A22 in order to reduce the computing time required for its inversion.
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Evaluation results indicate that the evaluated methodology achieves a level of accuracy higher than 96% (with TPR above 0.95 and FPR approximately 0.1), which slightly improves the results in previous studies that use byte n-gram representation.
Here we followed previously evaluated methodology described in detail elsewhere (Mah et al., 2012), implemented in SPM8 (http://www.fil.ion.ucl.ac.uk/spm/software/spm8/) and custom MATLAB (http://www.mathworks.co.uk/products/matlab/) scripts.
In this study, we developed and evaluated methodologies for quantifying aboveground carbon (AGC) stocks affected by mountain pine beetle using field observations, lidar data, and multispectral imagery.
Today, researchers are evaluating methodologies for determining which patients should receive generalized care vs. specialized care, while others continue to study further treatment adaptations for patients with complex dual diagnoses.
Several case studies were investigated to evaluate the methodology of theory-based policy evaluation, illustrated in Table 1.
They were used to evaluate the methodology [65 68].
We evaluate our methodology in two ways.
To evaluate the methodology, a multivariable control benchmark is used.
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