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In this paper, we present a novel 3D mesh based technique developed for temporal high-throughput plant phenomics and perform initial tests for the analysis of Gossypium hirsutum vegetative growth.
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The statistical significance of the model equation was evaluated by the F test for the analysis of variance (ANOVA).
Nevertheless, they also proved the suitability of the zebrafish embryo test for the analysis of complex environmental samples including the whole sediments.
In addition, this immunoassay was also tested for the analysis of clinical serum samples, which demonstrated its potential for practical diagnostic applications.
A new multi-dimensional quasi-discrete model is suggested and tested for the analysis of heating and evaporation of Diesel fuel droplets.
To analyze the data statistically, we performed Student's t-test for the analysis.
We used a Fleming-Harrington test for the analysis of the survival.
Unless otherwise indicated, statistical testing was performed using a two-tailed, unpaired, Student's t-test for the analysis of differences in mean values between groups.
Further the manuscript reported using a Wilcoxon test for the analysis of a categorical outcome, yet reported T values in the tables of results [64].
Statistical analysis of the data was performed with Prism 4.0 for Macintosh, using the Mann-Whitney test for the analysis of the percentages of GFP positive cells of the 7-AAD negative population, and the mean fluorescence intensity.
In this analysis, the total number of infections were recorded, with the results from 200 replicates/initial starting population averaged and compared with t-tests, for the analysis of all landscape information (ALL) versus no landscape information included (COAST ONLY), and ANOVA, for the analysis of effects of removing individual landscape information layers.
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