Sentence examples for model it reflects from inspiring English sources

can be used as a cumulative routing metric, combined with Tx-Rx model, it reflects wireless interference, it takes into account network congestion in a certain area and models MAC-layer collisions since interfering nodes are not allowed to transmit simultaneously.

The use of a range of target concentrations to collect observations was very important in establishing the general applicability of this model: not only did it point to a weakness in the free energy model but it reflects the experimental reality that not all genes or genomic segments are present at the same concentration in most microarray experiments.

This makes the NEP-deficient animals an even more relevant obesity model, since it reflects a classical situation where middle-aged people consuming food of normal (even healthy) quality become overweight whilst their diet remains unchanged.

These limitations can be explained taking into consideration the type of internal model that it reflects.

STZ-induced diabetes in rodents appears to be the most suitable animal model because it reflects the symptoms of diabetes in human [ 24] and it is characterized by severe loss in body weight, and this is also reflected in the present study.

Given the way in which the data were simulated, this can be considered over modelling, but it reflects the way models would be applied in practice.

The experts were asked, "Which patient verbal communication behaviors should be added to the Four Habits Model so that it reflects the interactive nature of communication between physicians and patients?" We describe our approach and findings and discuss the implications of our results.

This model is ambivalent, because it reflects both 'good' and 'bad' sides of leadership.

The driver behaviour model was calibrated, and it reflects the local driver behaviour.

However, this model is not stationary: it reflects learning (the integration of experience) over time.

Ignoring model uncertainty is problematic because it reflects statistical variation not captured within the single chosen model, and failure to account for this variation can increase the chance of erroneously concluding a statistically significant association between PM and mortality (Clyde 2000; National Research Council 1998).