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The animals were randomly assigned to the following three groups: control-untrained (n = 11), experimental-acutely exercised (n = 20) and experimental-trained (n = 23), to be analyzed by different techniques (see below).
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For each data set, the optimum cut-off threshold for x is determined by each of three different techniques (see Methods section).
There are several different techniques, see the link below.
In summary, DataWarrior and CheS-Mapper as well as Scaffold Hunter are able to assist the discovery and analysis of SAR by utilizing different visualization techniques, see Table 1.
From these characterizations it was seen that there are significant differences in the morphological, crystallographic, structural and electrical properties of the nanostructures that were produced by different techniques and/or on different substrates.
AgNPs were characterized by different techniques.
Optimized CNPs were characterized by different techniques.
The improvement threshold was determined by different techniques: 1.
We compared 5 different extraction techniques (see methods section) commonly used in GMO detection laboratories.
It is always good to experiment and try different techniques to see what one can learn.
Do research about different techniques and see what you can find, and experiment with your own.
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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