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Based on zeta potential variations we also found that the fulvic acids are changing the CeO2 acid-base surface properties.
For the simulation of slow and fast variations, we also derived Loo parameters from the SDARS measurements.
In order to study the effect of these CMSE variations, we also designed the S-IV scheme by using the CMSE ¯ i values of Akiyo and compare its performance with its suboptimal version.
In the case of predominant linear experimental variations we also find it more plausible to assume that the actual gene expression profiles are in fact identical.
In addition to copy number and length variations, we also found some ORFs that were unique to Ks3, based on BLAST2 searches (Table 3 Figure 5).
To demonstrate that NLME is applicable to real data of cell-to-cell variations, we also performed a corresponding analysis for the experimental data analysed using STS and NLME (Methods).
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In the simulations with high genetic variation, we also found widespread trait evolutionary changes indicative of eco-evolutionary dynamics.
Since seasonal variation plays an important role in TEC variation, we also carry out a seasonal TEC comparison to investigate the possibility of NN to predict the seasonal TEC.
In addition to sequence variation, we also observed variation in CRISPR loci in the S. islandicus population that results from spacer loss.
While methodological differences might account for some of the variation we also cannot exclude polar effects in the sap1 3Δ mutant due to the use of the URA-blaster method in mutant generation.
In addition to significant genetic variation, we also found significant maternal variation in Bythotrephes distal spine and body length that can affect phenotypic change between generations.
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