Sentence examples for complementarity results from inspiring English sources

Precise complementarity results in cleavage of target mRNAs, while the binding of miRNAs and mRNAs with mismatches leads to translation inhibition of target mRNAs [8], [43].

Perfect complementarity between the miRNA and the 3′-UTR of the target transcript leads to degradation of the mRNA, whereas partial complementarity results in inhibition of translation.

This analysis further builds our confidence in the complementarity result.

In the "Interpretation of the complementarity result" section, the results are interpreted and policy implications are derived.

In a similar vein, the complementarity result is relevant for CGE models that use elasticity estimates as an important input for forecasting and policy analysis.

Our interpretation of this sensitivity analysis is that the complementarity result is robust and does not depend on the specifics of the subset allocation mechanism.

By gradually excluding the least energy-intensive firms, we furthermore show that the complementarity result strengthens as the mean energy intensity of the remaining firms increases.

Before interpreting the results and formulating policy implications, we perform a sensitivity analysis in the next section, focusing mainly on the complementarity between energy and capital for energy-intensive firms, i.e., on the complementarity result.

Excluding the least energy-intensive firms from the high energy-use subset tends to strengthen the complementarity result in both modeling specifications: The magnitude of the elasticities increases as well as the t-values.

Table 11 Exploring the complementarity result between energy and capital Open image in new window   Notes: The table displays the degree of complementarity between capital and energy and the rate of observations that satisfy concavity as well as mean factor shares for different energy intensity subsets.

The similar results from the LL and the TL models are a first robustness check of the complementarity result: As mentioned, for example, by Considine and Mount (1984) and Arnberg and Bjorner (2007), heterogeneity of the observations regarding the factor shares can be an issue especially when estimating using a translog function.