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That there is such a wide range of results with this way to calculate c1 may be due to the interrelation of headway and step size discussed as "second difference" in Section 1.3.
In 2014 male candidates performed better than females in Sections 1 and 3 and there was no significant difference in Section 2. There has been a steady improvement in the performance of males in Sections 1 and 2 over the last 5 years, reversing the previous dominance of female candidates in both these sections.
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We return to this difference in sections 9 and 10.
As sections sampled in both roots were not exact replicates, we find that the mean value of maximal shifts over all genes is 0.63 representing the approximate temporal difference in sections between both root replicates.
We will consider some of the suggested differences in Section 5.
The strategy for estimating the time step length is illustrated in Section 5. Examples compare the efficiency of AVI with central differences in Section 6.
We see potential for confounding threat and vulnerability in the definitions above, and we return to these differences in Section IV.
In order to illustrate the importance of the correction procedures, we fit both corrected and uncorrected speckle contrast and discuss the differences in section 3.1.
We discuss potential causes for these differences in section 4. We developed an empirical two-end-member isotope mixing model (eqs 3 and 4) using the results of the Faroese analysis (MDF = 1.75‰ in δHg between human hair and diet).
However, no performance dissociations were found at all for phonological working memory of numbers vs. letters, despite of significant group differences reported in section Differences between linguistic and numerical performance at different task levels.
After introducing the improvements of color difference formulae in Section 2 and image difference metrics in Section 3, we present our proposal in Section 4. We propose a new image difference metrics based on multi-level contrast filtering using the difference of Gaussians (DOG) model proposed by Tadmor and Tolhurst [4].
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