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A tubular photobioreactor (PBR) and urea as cheap nitrogen source were used, taking as response variables kinetic parameters and biomass composition.
A 10 mM phosphate buffer pH = 6.8 with ethanol as mobile phase were used, taking into consideration the stability of the radiopharmaceutical according to Boschi et al. (Boschi et al. 2016).
Random effects models were used, taking into account the possibility of heterogeneity between studies, which was tested with the Q test (P<0.10 was considered indicative of statistically significant heterogeneity) and the I2 statistic (values of 25 %, 50 % and 75are considered to represent low, medium and high heterogeneity respectively).
Only uniquely aligned reads were used (taking only reads with the maximal 'mapping quality').
In the multivariable analyses, regression models were used taking p < 0.05 to identify significant predictors of outcomes.
To assess the robustness of the results, in the absence of an independent data set, bootstrap resampling methods were used taking bootstrap samples with 100 replicates.
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Eight different imaging approaches were used, taken from optical imaging, X-ray imaging and terahertz imaging.
Only full-face images with neutral expressions were used, taken from video footage.
The panel mode was used taking the period 1990 2010.
An appropriate mathematical model for wind turbines was used, taking into account their construction characteristics and operational performance.
A regression model was used, taking into account study effects in order to assess treatment effects.
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