Sentence examples for purpose rejection from inspiring English sources

For this purpose, rejection will be defined with a clinical and histological combined end point: (a) acute rejection documented by the presence of damaged myocytes in EMB (former grade 2, grade 2R and grade 3R), or (b) marked decrease in the left ventricle ejection fraction (>10%), reversible after a subsequent increase in immunosuppressive treatment.

Vibration isolators can be used for disturbance rejection purpose but may result in undesirable impact to the spacecraft attitude control performance.

For the purpose of vibration rejection two nonlinear control concepts based on energy considerations and the theory of differential flatness are presented.

In this way, the PI parameters can be selected for a load rejection purpose, as the designed command input is capable to ensure in any case that a desired output transition is accomplished with a low rise time and a small overshoot.

The relative ease of obtaining circulating whole blood for the purpose of monitoring rejection makes this approach fundamentally appealing.

It is also shown that fractional elements can be used for command tracking and disturbance rejection purposes which provides more flexibility for controller design applications.

Bipolar horizontal and vertical EOGs were recorded for artifact rejection purposes.

Bipolar vertical and horizontal electrooculograms (EOGs) were recorded for artifact rejection purposes.

The properties of closed-loop feedback/feedforward combined control system with inverse model-based controller have been also investigated for the purpose of attainable disturbance rejection accuracy assessment.

As the Hardy-Weinberg equilibrium test could be biased in the case where SNPs chosen to be genotyped are correlated to the sample ascertainment, the Hardy-Weinberg quality controls is only given for information purpose and the corresponding rejection of SNPs must results from detailed inspection of the data and of the assay design.

Similarly, the herein presented methods are not suitable to the sub-field of optimal experimental design for the purpose of improved model rejection, since such studies requires an optimization over different experimental designs, which in turn mandates less computationally heavy approaches [ 12, 13, 52].