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Evaluating a proposed control architecture nearly always requires experiments and applications.
The procedure requires experiments to measure the intrinsic fracture toughness of the phases and to determine the required material data.
Properly evaluating our UI/design process requires experimenting and prototyping with real data going through it, before it goes through the beta process of fixing bugs and making slight polishes to the experience.
Going beyond the well-established core of knowledge requires experiments that are often at the limit of technology.
However, such modeling approaches commonly involve either kinetic analysis [11] which requires detailed enzyme kinetic information that is still mostly unknown, or Metabolic Control Analysis [12] that requires experiment-based measurements of flux control coefficients that are also mostly unavailable.
Determining exactly where in the brain or which neurons are involved in adjudicating the "winner" obviously requires experiments directed specifically at this question.
A better understanding of the relationships between the circuits of the two dynamic representations requires experiments jointly manipulating attention and flow.
Understanding the evolution of aging requires experiments that provide information about mutational effects on aging.
There was widespread recognition that science knowledge is based on evidence, unlike other disciplines, but also that science requires experiments.
This requires experimenting, however the only thing that will tell you what is right is your body.
The various perception, interpretation and reaction of people to certain colours require experiment and further validation in this project.
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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