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Determination of common regions for "reward win" and "high personal relevance" was calculated by a conjunction analysis implemented in SPM2 for the contrasts "reward win > reward lose" and "high personal relevance > low personal relevance".
The level of clinical relevance was calculated using the effect size, in which an effect size of 0.20 0.49 reflected a small clinically relevant difference, an effect size of between 0.50 0.80 reflected a moderate clinically relevant difference and >0.80 reflected a large clinically relevant difference.
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In contrast, the work presented here evaluates a complete set of different feature categories and each feature's relevance is calculated.
Six properties of pharmaceutical relevance were calculated with MOE: hydrogen bond donors (HBD), hydrogen bond acceptors (HBA), the octanol and/or water partition coefficient (logP), molecular weight (MW), topological polar surface area (TPSA) and number of rotatable bonds (RTB).
Relevance is calculated using Equation (13), which consists of two factors.
In particular, 15 of the 30 genes (50%) were found to be ranked in the top 32% of the gene list according to the relevance scores provided by GeneCards, where the relevance score was calculated by Lucene scoring to determine how relevant a given document is to a query.
Quantitative data analysis for each of the four constructs: Item relevance (R) was calculated using the following formula.
For each keyword, a so called relevance index was calculated by dividing the number of PubMed abstracts containing both the keyword and the selected reference term with the number of PubMed abstracts containing the keyword alone.
This relevance index was calculated as the number of PubMed abstracts containing both the keyword and the word 'arthritis' divided by the total number of abstracts containing the keyword alone.
To determine whether one of the tested evaluation methods would produce more consistent results than the other method, the percentage of evaluations in each conclusive reliability (R1 R3) or relevance (C1 C3) category was calculated for each study.
Average pair-wise agreement for clarity, relevance, and representativeness was calculated as an average of the individual item pair-wise agreement percentages.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com