Exact(2)
This work demonstrates that the perfect premixing assumption is reasonable for stable flows but is not acceptable to predict self-excited unstable cases.
This approach may be acceptable to predict severe outcomes that can often result in death, and only requires a brief assessment to confirm or discard the "diagnosis" of physiological deterioration (Fig. 2a).
Similar(58)
Firstly, students' low performance in courses offered in the first semester of course is an acceptable parameter to predict their performance in subsequent courses.
Internal validation (c-index: 0.67 (95% CI: 0.63, 0.70)) showed a robust final model with acceptable ability to predict self-reported recovery from WAD in similar populations of WAD patients.
To verify the AKI risk configuration of both groups, we surveyed individual patients according to various risk factors and determined the commonly used clinical predictive score according to Thakar and colleagues [ 6], which demonstrated an acceptable ability to predict the risk of AKI [ 20, 21].
In this regard, Fa2N-4 cells provide an acceptable model system to predict the potential of compounds to be CYP1A and CYP3A inducers (Ripp et al., 2006).
In any case, these findings will have to be considered in the context of practical requirements (indices have to be easy to predict, acceptable to the public, etc.).
This model predicts flow boiling heat transfer coefficients with acceptable accuracy, but fails to predict the nucleate boiling fraction NBF reasonably well.
Finally, a new correlation with acceptable accuracy was proposed to predict the thermal conductivity and viscosity of nanofluids by using the obtained experimental data.
In the present study, a quantitative three-dimensional boundary element model has been developed which can be used to determine the geometry of acceptable surface defects and to predict rolling contact fatigue life.
Acute-to-chronic extrapolation is an important approach which has practical utility in current hazard assessment approaches to predict acceptable no-effect levels from acute data.
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