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An ancestral-state-reconstruction-based method (AS) for detecting coevolving positions was implemented based on the method described in [ 4, 17].
To further inform the comparison of the method to a gene-signature-based approach a supervised version of the P-Shift was implemented based on a t-test and referred to as P-Shift-t (see Section 2).
A single cell trapping mechanism was implemented based on dynamic variation of fluidic resistances.
Finally, descrambling software was implemented based on the second descrambling method.
The numerical model was implemented based on the Coupled Eulerian-Lagrangian Model (CEL) built-in Abaqus/Explicit finite element software.
An experimental case study was implemented, based on the Petri nets development toolKit (PndK) development framework, to validate the proposed concepts.
A procedure was implemented based on linking MATLAB, where an optimization code was developed, and OpenSees, which was used as the finite element solver.
In the present study, a computer system supporting the design of such control systems was implemented based on the improved framework (MDEC2).
An experimental knowledge base was implemented based on the GeneSteR method and was applied to a universal joint yoke used in automobiles.
This study was implemented based on environmental data, risk frequency, and the physical and chemical characteristics of the chemical materials involved.
This method was implemented based on the use of pH indicators because of the changes in pH during the fermentation process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com