Sentence examples for not completely appropriate from inspiring English sources

Advances resulted from attempts to apply a writing system invented for one language to another language for which it was not completely appropriate.

As for the influence of temperature on the compressive residual strength of the laminates, it also appears that the classical experimental set-up for CAI tests is not completely appropriate to draw a clear cut conclusion.

Environmental strains could develop a resistance mechanism to chlorine-based disinfection treatments, so these decontamination procedures are not completely appropriate for removing the bacterium from plumbing and tanks.

That is, if care was not completely appropriate, they were asked to consider whether the problems were likely to result in worse outcomes for a typical patient with the medical problem.

Although application of the SCORE algorithm to elderly population may be not completely appropriate, given the fact that this population is at high risk for itself, such results may support the use of ARBs as an alternative to ACE inhibitors for the achievement of adequate blood pressure control with less intensive treatment in older hypertensive patients at higher risk of cardiovascular events.

The estimated standard error of the slope and the p value from the lm procedure assume independent observations which is not completely appropriate in this setting where observations are based on pairs of individuals, so that observations involving the same individual are not independent.

However, it is possible that our cell-free system might not be completely appropriate or sufficient for cRNA synthesis from a vRNA template, and thus we do not exclude the possibility that IREF-2 also functions in unprimed cRNA synthesis.

For people in institutional nursing care, the term informal caregiver may not be completely appropriate.

Data are rarely collected specifically for epidemiologic research and therefore may not be completely appropriate for the analysis being undertaken.

While for probability models, calibration can be assessed using the Hosmer-Lemeshov test [ 13], this test may not be completely appropriate for models with discrete outputs (such as scoring systems).

The definition of MCI from clinical studies has determined the super-selection of patient groups at high risk of dementia [ 39], but direct application of such data to population-based programs may not be completely appropriate.