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Currently, turbomachinery design optimization methodologies are mainly restricted to steady state approaches, due to the high computational cost associated with time-accurate shape optimization algorithms.
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Due to digitization in SCN, the communication methodology is mainly focused on exchange of encrypted packet information.
The research methodology is mainly qualitative and the results explicit that, front the point of view of the participant teachers, the experience is a relevant referent for both curricular change and teaching culture; change that is aligned with the EHEA convergence process.
Data-driven methodology is mainly used at systems and subsystems level that experience gradual degradation.
The choice of qualitative methodology was mainly informed by the subjective approach to studying quality of life.
The value of the proposed methodology is mainly its usability as it can be applied in absence of traffic data, which are often difficult to find, especially in case of pedestrian traffic.
In the 1980s, Q methodology was mainly applied using face-to-face interviews.
In fact among people with pathological conditions, the dual-task methodology was mainly used to observe the effect of concurrent stimuli while checking the gait state [ 9].
The stoichiometry of the β-lg/ligand is difficult to measure unambiguously as methodologies used are mainly indirect.
In the novel data-characteristic-driven modeling methodology, two steps are mainly involved, i.e., data analysis and forecasting modeling.
These methodologies are based mainly on historically well-characterized hosts, such as Escherichia coli, Bacillus subtilis and S. cerevisiae, whereas newly discovered organisms with great characteristics for bioprocessing are still in need of synthetic biology tools.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com