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The Internet problem maps nicely onto the above scenario: you are the driver, the computer is the car, and the Internet is the pack of cigarettes (or certain sites, at least, are the pack of cigarettes).
Fig. 3 Practice problem maps.
The simultaneous use of problem maps and tool maps is not limited to problem solving.
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But a problem tackled through correlations alone lends itself to a very different set of solutions than a problem mapped out in all its causal complexity.
It also recommends the systems approach for problem mapping and suggests possible recommendations for sustainable planning.
Open image in new window Fig. 4 Problem mapping mechanism and solution representation.
However, transcriptome sequencing creates a new class of alignment problem: mapping short reads that span exon-exon junctions back to the reference genome, especially in the case where a splice junction is previously unknown.
To overcome this problem, map information form KGML was imported into newly developed Mjson format.
Start with the topic of your problem map.
You use two mind maps at a time: A problem map, where you work at your problem, and A tool map with a collection of problem solving tools.
Again, you have two options: You start with an empty problem map and create its structure while you work on your problem.
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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