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The exponential (antilog) of the coefficient provides a relative risk estimate, shown here with a 95% confidence interval.
Looking at the costs of other feedstocks: energy crops varied from US$65 to US$172 odt-1; the cost of waste paper showed a considerable range, US$65 to US$172 odt-1 depending upon the quality of the paper: the low estimate shown here corresponds to mixed waste, the higher estimate for newsprint; sorted office paper would fetch a higher price still [ 15- 25].
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This would suggest that the true contribution of a high number of sexual partners to HIV risk might be greater than implied by the estimates shown here.
Nevertheless, this heterogeneity means that the summary estimates shown here need to be interpreted with caution.
Higher TADs estimates (shown here) were obtained when assuming as 'target' concentrations WHO Air Quality Guidelines instead of Directive 2008/50/EC.
Note: National police statistics for some countries record lower homicide levels than the statistical estimates shown here (which are derived from World Health Organization analyses for the Global Burden of Disease 2010 Study).
In any case, as previously found, all the estimates shown here (except for the antennal IRs) were larger than the average obtained across all Drosophila gene families (0.0012; Hahn et al. 2007), attesting to the relatively rapid turnover rates of chemosensory gene families.
The full track estimate is shown here providing a single view of the entire trip.
As estimates of divergence based on site-counting and maximum-likelihood methods gave qualitatively equivalent results, only counting estimates are shown here (for a discussion of the different methods, see Bierne and Eyre-Walker 2003).
The rates of nitrification and denitrification were estimated (not shown here).
This estimator uses the second-order and fourth-order moments (μ2 and μ4) of the received signal to estimate the K-factor (shown here for the estimate on the i th antenna): K i = - 2 μ i ; 2 2 + μ i ; 4 - μ i ; 2 2 μ i ; 2 2 - μ i ; 4 μ i ; 2 2 - μ i ; 4. (11).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com