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Non-sampling errors are categorized into laboratory error and data management error, with laboratory errors subdivided into measurement, data interpretation, sample management, laboratory procedure, and methodology errors.
Table 11 Sample driving sessions with their narratives and aggressiveness interpretation Sample number Narrative of the session Aggressiveness 8354 Subject vehicle is driving relatively fast in the left lane as the traffic is merging into right lane.
JB and SM were involved in pathologic interpretation, sample collection and revising the manuscript.
GPY contributed to overall project design, clinical interpretation, sample choice and provision.
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Basically two groups of waters were discerned from hydrochemical interpretation, samples that are very fresh in quality and have undergone less interaction with the aquifer material and other group of samples which have relatively higher ion content and have undergone water rock interaction and ion exchange.
Out of the samples, we chose for interpretation the sample having the highest probability, and estimated the parameter values θ and ϕ based on the assignments of words to the topics.
The small differences observed may not lead to wrong interpretation of sample results.
SZ, QZ, and YZ participated in the experimental design, result interpretation, and sample collection.
Interpretation of sample size is assessed as follows: total number THAs was 141.
We chose standard deviation (as a summary statistic) and standard regression analysis for interpretation and sample size considerations.
The result is an HTML report with embedded narrative to facilitate interpretation; a sample report is included with the package.
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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