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A coefficient of variance (C.V). of 1.14 % suggests better precision and reliability of the data obtained by performing the experiments while a non-significant lack of fit value (more than 0.05) implies validity of the quadratic model (Chowdhury and Saha 2012).
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Just because a conclusion is placed under the rubric of science does not imply validity.
Reliability does not necessarily imply validity.
The CPAx has a limited floor-and-ceiling effect on the ICU, also implying validity.
It is possible that the accuracy of the deterministic QSSA inside this range does not imply validity outside the range.
Comparative studies evaluating our original questionnaire to those used widely in the English-language literature [ 5, 6] will be necessary, although the same three subscales were obtained from data using our original assessment tools, implying validity.
We show that the validity of the non-commutative Khintchine inequality for some q with 1<q<2 implies its validity (with another constant) for all 1⩽p<q.
It is worth noting that the lower the value of (p>0) in (1.14) the stronger this inequality is, in the following sense: The validity of (1.14) for (p = p_1) and for (p = p_2) implies its validity for (p = p_1+p_2).
A high value of regression coefficient (R2 = 0.9832) implies the validity of the model.
which implies the validity of (3.5).
The last inequality implies the validity of the proposition.
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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