Sentence examples for the severity of interactions from inspiring English sources

There have been many studies proposing solutions to improve the overall performance of the cements used in CO2 sequestration sites, but none of these approaches were totally successful in resolving these issues, due, perhaps, to the severity of interactions between the cement and supercritical CO2.

4 The severity of interactions (CSDIs and non-CSDIs) was rated from A to D and X (Table 1), according to the method of Armahizer et al (A = no known interaction; B = minor/no action needed; C = moderate/monitor therapy; D = major/therapy modification; X = contraindicated/avoid combination).

The variable fatigue resistance of discs in jet engines is seen to depend upon the variability of microstructure and its influence on the severity of creep/oxidation interactions.

One of the most widely known examples of the severity of such interactions is represented by the serotoninergic syndrome induced by the co-administration of serotoninergic antidepressants and triptans.

In the absence of information on clinical consequence of co-prescribing two interacting drugs providers would not be able to gauge the severity of the interaction as it relates to a specific patient.

While these changes are small, they may have a significant influence on tip incursion due to the tight nominal clearances, and this may have a large effect on the severity of the interaction.

More research is needed to understand this variation for assessing the severity of an interaction.

Thus, they believed that this information should be included in the alert message but should not be used to determine the severity of the interaction.

These prevalence estimates can be used in predicting sample size requirements for future epidemiologic studies to evaluate genetic determinants of susceptibility to chronic and infectious diseases, the severity of disease, and interactions with other risk factors.

Ongoing documentation of DDI occurrence will have to be combined with clinical data to refine the classification of severity of interactions and to limit the number of warnings accordingly.

The influence of patients' preferences depended on the severity of symptoms (P for interaction <0.001; see Fig. 2).