Sentence examples for methods to counterbalance from inspiring English sources

Exact(1)

Carbon capture and storage (CCS) is nowadays considered as one of the most promising methods to counterbalance the CO2 emissions from the combustion of fossil fuels, natural gas processing, cement manufacturing, etc.

Similar(56)

Hyper-geometric statistical test was applied with Bonferroni correction method to counterbalance the problem of multiple comparisons.

To counterbalance the documented tendency of sampling methods to generate GC-rich sequences (Levin et al., 2012), we introduce a parameter, whose value will influence the GC-content of generated sequences.

Keeping in mind the limitations inherent in each method, it was therefore decided to use two methods simultaneously (Written commentaries and interviews) to counterbalance the weaknesses in a single method.

Nonetheless, the sheer volume of that exposition, the invention of an intergalactic politics to counterbalance the quasi-religious story, impressed me even more than the mythology of "A New Hope" — even if Lucas here relied on even duller methods to deliver it.

The small sample size is a limitation that we tried to counterbalance by the statistical methods chosen.

These days, the preferred method is to use amplifiers that are able to counterbalance the intrinsic attenuation of transmission channels.

Homeostatic scaling of the postsynaptic amplitude q was included to counterbalance postsynaptic potentiation (see 'Materials and methods') (Turrigiano et al., 1998).

Four different methods for PLT counting were used in the present study to counterbalance weaknesses of each individual technique.

To counterbalance the abstractness of the subject, the method is illustrated by applying multilayer perceptrons to data on catalyst composition and catalytic results in the oxidative dehydrogenation of propane to propene.

Thus, in our opinion, there is to date no between-array normalization method suited to 450K data that can bring enough benefit to counterbalance the strong impairment of data quality they can cause on some data sets.

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