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For example, if a user was searching for dietary recommendations in diabetic nephropathy, the search terms may be simplified to 'low protein diet diabetes', instead of searching for 'low protein diet diabetes' with selected terms such as 'nephropathy'kidneyney disease', or 'glomerulosclerosis' that may negatively impact relevant article retrieval.
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I selected a priori coding terms such as adaptation, evolution, and natural selection.
Articles were selected based on searches of PubMed using a number of different search terms, such as "Neurodegenerative diseases" "Huntington's disease," "Amyotrophic Lateral Sclerosis," "neuroprotection," "neurodegeneration," "pathogenesis," "mitochondria," "apoptosis," "huntingtin," and "autophagy".
We adapted the search strategy by including specific AE terms and omitting selected terms because the previous search strategy: included fewer AE terms used broad terms such as 'cause' and 'response' and applied specific study design filters, for example, in vitro studies.
He used terms such as "mussies" and "chinky-poos".
"Terms such as radicalisation have not been defined or quantified.
They insult each other using terms such as "gay".
We use terms such as "surgical strike" and "collateral damage".
HMRC couches it in terms such as "control" and "substitution".
Substantial terms, such as 'gold', denote substances.
(4) Categorematic terms can be divided into substantial terms, such as 'man', and accidental terms, such as 'white'white
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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