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While the path that researcher used to find that data is not obvious and not user-friendly, it important to note that all that information was already directly available to Hello Barbie customers through the Hello Barbie Companion App.
Furthermore, the trial orders were fully randomized and so any possible correlations between train and test data is not obvious and should not bias the data towards correct vs incorrect classification (Misaki et al., 2010).
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However, specific effects that may appear in the measured data are not obvious and not described in the literature.
The mechanisms accounting for our data are not obvious.
Apparently Taploid's plan to eventually turn insights about people's personal lives into ad targeting data wasn't obvious enough.
Due to the evolution of big data, which implies an increasing amount of data, it is not obvious that data quality should be restricted to a single database/node.
This is an important result because, if a particular technique gives good results when applied to simulated data, it is not obvious that similar performances are obtained with actual data.
Since we have been to obtain reasonable estimates for D, λ and K by calibrating the solution of the Fisher-Kolmogorov equation to our experimental data it is not obvious that we need to consider applying a more complicated model incorporating chemotactic cell migration at this time.
Discrete numerical data are a blend between categorical and continuous data, and it is not obvious how to analyze such data.
Nevertheless, even though it is clear that a two-component distribution fits the data better, it is not obvious which component should be labeled as financially constrained.
However, the use of RDF for already well-defined data structures in chemistry is not obvious.
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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