Sentence examples for relative applicability from inspiring English sources

Just as he fails to adequately distinguish between very different forms of wasting time, Professor Lightman fails to consider the relative applicability of his proposals to different use cases.

The relative applicability of diverse promoter development strategies are discussed, including re-engineering of natural sequences, design of synthetic transcription factor-based systems, and construction of synthetic promoters.

This section will briefly review these guidelines to set the stage for a discussion of their relative applicability to UK general practice.

First we all endorse model A, then model B is cast in opposition to it, then it is accepted that both have merit, but efforts are made to quantify their relative applicabilities-with A-ists and B-ists each trying to bias the results in their favor.

An extension to robust control law design in the presence of norm-bounded uncertainty is also given and its applicability relative to alternative settings for design discussed.

As the numerical experiments in Section 5 demonstrate, the final framework provides significant improvements in accuracy, speed, and applicability relative to the state of the art.

Quantification of the nature and extent of these differences would help determine the relative importance and applicability in India of various components of contemporary emergency medicine in high-income settings.

We hypothesize that microneedle-based vaccination will provide protective immunity against influenza with at least equivalent efficacy and improved applicability relative to current vaccination methods.

To define efficacy, we chose to measure the success rates of pleurodesis rather than failure rates due to the relative ease of applicability of this measure in the real world clinical setting.

This choice was dictated by its relative simplicity and applicability of that method to the data where differences in the expression levels are not expected to be very large.

Evaluating the quality of scientific information used in regulatory decision making requires that judgments be made about data production processes, data reporting, analysis, and interpretation methods and data applicability relative to the goals of the decision-making activity in question.