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Stability lobe graphs are the most reliable approach to analyse the dynamic performance.
It was found as the most reliable approach to estimate the accuracy of predictions in several benchmarking studies [44, 60, 61].
In this case, the most reliable approach for minimizing future human intrusion risk will be a reduction in the radiotoxicity concentration of the waste.
However, it should be highlighted that the selective enamel etching clinical technique is still regarded as the most reliable approach to bond to dental enamel when using self-etch adhesives [15].
The use of reference genes is commonly accepted as the most reliable approach to normalize RT-qPCR data and reduce possible errors generated in the quantification of gene expression.
This was shown to be the most reliable approach for differentiating accurate and inaccurate predictions and for estimating the prediction accuracy (the root mean square error, RMSE, for classification models or the correct prediction rate for classification models), as described elsewhere [27],[28].
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The characterized source model is one of the most reliable approaches for broadband strong ground-motion prediction.
We use a characterized source model proposed by Irikura and Miyake (2001), which is one of the most reliable approaches for broadband strong ground motion prediction, as a source model for strong ground motion simulation.
F2-isoprostane and isofuran concentrations, products of non-enzymatic arachidonic acid peroxidation, are considered one of the most reliable approaches for assessing systemic oxidative stress in vivo [ 10].
The networks constructed here comprise edges that, to the best of our knowledge, are predicted by the most reliable approaches available.
Search for temporal interhemispheric asymmetry under the hypothesis of temporal hypometabolism was the most reliable SPM approach: hypometabolism was identified on the side chosen for resection in most cases (sensitivity, 71%; specificity, 100%) and was predictive of favorable postsurgical outcome in 90% of the patients.
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