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In Figure 2, we see that there is a consistent trend; as the Bayes error increases or, equivalently, the classification problem becomes harder, error estimation performance decreases steadily, in term of root mean square error; this is true for all error estimation methods.
Although transcript of TCL2 is detectable in roots, all the mutants tested including TCL2 overexpressor, TCL2RNAi and P TCL1 :TCL2/tcl1 are largely indistinguishable from wild type in term of root hair formation (data not shown).
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Most biological activity, in terms of root growth, animal burrowing, and decomposition of organic matter, is limited to the active layer.
The landraces were superior in terms of root hair density and root biomass.
It has shown promising performance for small sample sizes in terms of root mean square error.
The accuracies are compared in terms of root square error (RSE), position root-mean-square error (RMSE) and average RMSE.
There is still ambiguity if the continuity of force application is advantageous in terms of root resorption and tooth movement.
The results are evaluated in terms of root mean square error (RMSE) and coefficient of determination R 2 values.
The positioning performance of all nodes is given in Figure4e,f in terms of root mean square error (RMSE).
The system performance has been assessed in terms of root mean-square-error (RMSE) of the DOA estimates.
Similarly, there were no significant differences between FSC and FSC-RHB substrates in terms of root DM and plant height.
Write better and faster with AI suggestions while staying true to your unique style.
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