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The MPI index faces the same problem.
The MPI also does a better job of uncovering long-term trends.
The mPI score for the total study population was 0.21 ± 0.30 (mean ± SD).
The MPI prototype system is implemented in Python 2.7 and Erlang 16.2.1 [28].
The #MPI map shows this information for every state.
The MPI was calculated with the formula (a-b)/ b.
The MPI contains 61 items divided into three parts.
The MPI has been described previously (see above).
The MPI implementation has been tested on multiple MPI versions.
The MPI version of MrBayes was run in parallel on eight nodes with MPICH2 installed [ 44].
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The MPI-CBG was already founded in 1998.
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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