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This unique audiovisual experiment will become a regular event, and more collaborations and events will unfold across China soon.
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It is believed that with the advent of such advanced models, a wealth of numerical experiments will become possible that will save considerable amounts of money and time to the research and manufacturing communities alike.
Sustained elevated data rates of multiple GB/s in tomographic experiments will become even more common at diffraction-limited storage rings, coming in operation soon.
Sub-second tomographic microscopy at third-generation synchrotron sources is a reality and sustained elevated data rates of multiple GB/s in tomographic experiments will become even more common at diffraction-limited storage rings.
Paradigms that cannot be used with standard cabled EEG systems can now be incorporated into day-to-day research, and normal experiments will become more convenient for the participants.
Given the complexity and size of neuroimaging data, simple reproducible data-analytic methods, causal thinking, data exploration, hypothesis confirmation and careful design of experiments will become increasingly important, or, in other words, will require the expertise of biostatisticians!
These inventors are at the cutting edge, still waiting to see whether their experiments will become part of the textbooks of the future… or be lost to history with such useless technologies as the anti-eating face mask.
It is likely that these sorts of experiments will become more popular in the near future.
With the genomic sequencing revolution well under way, the ability to harvest novel sequence information in a timely fashion from new genomic sequences will become increasingly important and the ability to include and compare in silico results to those from traditional laboratory experiments will become necessary.
Harvard kicked off a small but ambitious experiment this week that it hopes will become a new "third stage" of university education.
If calibrating these operating variables over the entire operating range through experiments, the difficulty and cost will become a big issue.
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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