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pro vyhledávání: '"Kageorge, Logan"'
Autor:
Sundstrom, Meagan, Kageorge, Logan
Students' beliefs about the extent to which meaningful others, including their peers, recognize them as a strong science student are correlated with their persistence in science courses and careers. Yet, prior work has found a gender bias in peer rec
Externí odkaz:
http://arxiv.org/abs/2310.19074
Data taken from observations of the natural world or laboratory measurements often depend on parameters which can vary in unexpected ways. In this paper we demonstrate how machine learning can be leveraged to detect changes in global parameters from
Externí odkaz:
http://arxiv.org/abs/2111.12114
Machine learning offers an intriguing alternative to first-principles analysis for discovering new physics from experimental data. However, to date, purely data-driven methods have only proven successful in uncovering physical laws describing simple,
Externí odkaz:
http://arxiv.org/abs/2102.12006
In laboratory studies and numerical simulations, we observe clear signatures of unstable time-periodic solutions in a moderately turbulent quasi-two-dimensional flow. We validate the dynamical relevance of such solutions by demonstrating that turbule
Externí odkaz:
http://arxiv.org/abs/2008.02367
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