Sentence examples for evaluate the threshold of from inspiring English sources

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This haptic display allows us to evaluate the threshold of human perceptions to different pathological neuro-mechanics at different levels of severity, which in turn can translate into different strategies that enhance the human perception of these impairments.

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A larger test set is necessary to evaluate the thresholds of the CRI before application in the clinical setting.

A larger test set is necessary to evaluate the thresholds of the CRI before application in a clinical setting.

Inverse prediction of HMR was also performed based on the prediction models to evaluate the threshold for low risk of mortality.

See related commentary by Kiekkas et al., http://ccforum.com/content/16/6/166 Fever is a frequent symptom in the intensive care unit (ICU), with rates ranging from 28%to70%0%; its frequency depends of the types of patients evaluated, the threshold of definition of fever, and the duration of evaluation [ 1- 4].

To our knowledge, there is no multicenter study that evaluates the threshold of pediatric intensivists in decisions to W/L in everyday practice.

We have assessed the genomic data obtained in our experiments to evaluate the threshold model of schizophrenia (Fig. 6) [36].

Therefore, it is important to evaluate the threshold level of Cd exposure in the general Chinese population, while accounting for an age effect to prevent Cd's toxic effects.

This paper discusses the measurement methods for rail corrugation with particular regard to the analysis tools for evaluating the thresholds of acceptability in relation to the tramway Italian transport system.

The measurement methods for rail corrugation with particular regard to the analysis tools employed for evaluating the thresholds of acceptability in relation to an Italian tramway transport system are presented [8].

The ROC curve (Figure 3) was used to evaluate the threshold-independent performance of the three best models and shows the trade-off between true positive rate (sensitivity) and false positive rate (specificity) over their entire range of possible values.

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