Sentence examples for power evaluation from inspiring English sources
[ 161] to evaluate if genetic drift could cause observed differentiation patterns alone, and for power evaluation.
Problem of core power evaluation by readings of the ENFMS is considered in this paper.
Power evaluation metrics have been defined to widely explore the architectural design space at high abstraction level.
Discussion: Several unique features of our statistical power evaluation include the comparison of different covariance structures and drug response profiles.
Within this context, the construction and power evaluation of custom memory managers is one of the most difficult parts for an efficient mapping of such dynamic applications on low-power embedded systems.
Experimental results, obtained by means of FPGA-based prototyping and post-floorplanning power evaluation on a 40nm technology library, assess the performance and hardware-related costs of the considered configurations.
The procedure can also be applied to future power evaluations of other cardiovascular parameters, such as the QT interval, and the loss of statistical power due to missing observations.
Experimental results, obtained by placement- and activity-aware power evaluations carried out using an industrial 40 nm technology node as a reference, assess that the performance and power-related features of the designed architecture are compliant with the implantability constraints and with the battery lifetime required for real-life use.
Claims of absence of effects should include appropriate statistical power calculations, and prospective power evaluations embedded in the design stage of the experiment (or of replication studies) are to be encouraged.
Such power evaluations would trigger a badly needed discussion about the choice of effect levels that are judged to be of toxicologic relevance in the context of endocrine disruption.
If steps are taken to ensure that the prerequisite of similarity in experimental conditions is met, we suggest that rigorous statistical power evaluations, fully integrated in the design stage of the experiment, are likely to avoid such situations in the future.
