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The contribution of each program construct type is a question still not answered by previous studies.
As the usage of more constructs was shown to increase bug localization effectiveness, it became important to study the individual contribution of each construct type.
Unlike in either homogeneous construct type, microscopic analysis of axial strain fields in bilayered constructs in response to applied static compression revealed two mechanically disparate regions on day 0: a softer 2% layer and a stiffer 3% layer.
The diffusion coefficients of the eGFP-multimers were always in the same range for a given construct and no statistically significant differences could be observed for the distributions of one construct type between the different cell lines (fig. 8).
As the Shaker-GFP signal was driven with a Mhc driver, this suggests that the nerves do not construct Type I boutons.
Unexpectedly, a particular leaf variant type, occurring in ~17% of all regenerants independent of construct type, was found to be attributable to tetraploidy.
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Eliciting types through punishments in order to construct type-specific weights should occur if preference intensity is relatively heterogeneous.
Previous studies do not assess the contribution of particular construct types to the overall effectiveness of bug localization techniques.
To answer whether the consideration of more construct types could improve the effectiveness of bug localization, we designed the three construct-mapping modes described in Table 6.
Although all construct types contribute to the final scores, analysis of the variances (Fig. 3) suggests that some constructs contribute more than others do.
Using Principal Component Analysis, we have shown that all constructs exerted a significant level of influence on the results, with Methods and Classes being the most influential construct types (Section 4.1.4).
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