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Almost like an experiment if you will, in the sense of the true meaning of "experimental," which has along the way somehow lost itself to a kind of genre.
Although there is growing interest in capturing the meaning of experimental and clinical data in mathematical models at each scale, few models have been developed that integrate across scales.
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A theoretical scale analysis was also performed to assess the physical meaning of the experimental results.
The meanings and values of experimental parameters in eXtremeDB are in Table 1.
We argue that one of the weaknesses of current experimental practices is the low degree of generalization of experimental results, meaning that knowing the performance a robot system obtains in a test setting does not provide much information about the performance the same system could achieve in other settings.
It was an institution where conceptualization preceded experimentation, that is, where everyone thought a lot about the anticipated results and meaning of his or her experimental work beforehand.
These data provide additional support for a link between cerebrovascular health, AD, and parenchymal Aβ accumulation, challenge the notion that Aβ parenchymal deposition is a specific marker for AD and disclose the meaning of SHRSP as valid experimental model to investigate the association between hypertension, CSVD, and Aβ plaques.
These data approve the neuropathological link between CSVD and AD, confirm the challenge that parenchymal Aβ deposition is a specific marker for AD and disclose the meaning of SHRSP as valid experimental model to investigate the association between hypertension, CSVD, and Aβ plaques.
Modelling of such complex systems is essentially phenomenological; thus, the estimated kinetic parameters lack mechanistic meaning and are functions of the ranges of experimental conditions used.
Therefore, parameters estimated on the basis of experimental data have clear biological meaning in the mathematical models.
Logical positivism proposes that the meaning of statements used in science be understood in terms of experimental conditions or observations that verify their truth.
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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