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Consensus in scientific fields is a curious thing.
However, until recent 10 years, it has attracted increasing attention due to its popular use in the scientific fields and the engineering-oriented fields.
Motivated from the initial success of these algorithms [3] – as well as their widespread use in other scientific fields – we have preciously introduced MEGA, a Multi-objective Evolutionary Graph Algorithm with the aim of performing de novo design taking into account numerous pharmaceutically relevant objectives.
People in scientific field are currently overcoming these problems with the use of synthetic drugs.
Simulation studies are gaining in popularity and are used in many scientific fields.
The methods for quantifying variable importance in neural network based model are used in many scientific fields.
In fact, taxonomies and ontologies are widely used in many scientific fields, including biology (the Linnean taxonomy) [4], geology (the BGS Rock classification scheme) [5], subatomic physics (the Eightfold way) [6], astronomy (the stellar classification system) [7, 8] and pharmacology (the ATC drug classification system) [9].
Factorial designs have been widely used in many scientific fields.
Constructal theory has been used in several scientific fields since it has been established a decade ago.
Long memory processes are widely used in many scientific fields, such as economics, physics and engineering.
This application could create more-compact versions of instruments, such as free-electron lasers, that are used in other scientific fields to probe materials and molecules.
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