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The question is if the students we identify with those methods as good students are also better problem solvers in practice.
A separate survey conducted by Consumer Reports and the American Psychological Association found that seven out of 10 psychologists recognize mindfulness training methods as "good" or "excellent" strategies for weight loss, which can aid in improving cardiovascular health as well.
Among the proposed approaches, Transfer Entropy and Joint-Entropy showed the best results suggesting those methods as good candidates to extract functional links in actual neuronal networks from multi-site recordings.
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But what it means is that, for all we know, the DGAC methods were as good or better than any others, to say nothing of the conclusions they reached.
This allows me to understand the difference between normal and abnormal" Students with negative/neutral response: Other methods were as good or better " It showed me what to expect when looking and listening for abnormalities" "Enabled me to understand the difficulties of performing CVR and respiratory examinations on more critically ill patients" "The setting was like in a hospital.
b) Students with negative/neutral response: (i) Other methods were as good or better " It showed me what to expect when looking and listening for abnormalities" "Enabled me to understand the difficulties of performing CVR and respiratory examinations on more critically ill patients" "The setting was like in a hospital.
We can see that the performance of our method is as good as that of the joint subspace projection method [14].
One method is as good as another, it depends on how much effort you put into using the method that determines what you get out of it.
Fletcher doesn't pretend that the method is as good as hand-sowing, but it's a hell of a lot quicker.
Furthermore, it is shown that our method is as good as, and in some cases more effective than a dermatology registrar.
The GBLUP method was as good as BayesB and MixP when the number of QTL is 100.
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