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More than half of the students (21/39) also tried to figure out the statistical or mathematical process underlying a statistics procedure on their own in order to achieve a better understanding by working out the textbook examples and/or chapter exercises.
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This is thought to be the fundamental process underlying learning.
Both men praise the process underlying the land-acquisition program.
Differentiation is a fundamental process underlying all forms of life.
We advocate that, when such mathematical representations of processes underlying a disease or disorder are available, they can be an important tool for suggesting adaptive treatment strategies for clinical study.
In this respect, we have much to learn from computational neuroscientists who have spent considerable effort distilling the psychological processes underlying motivated behavior and decision making into mathematical models that generate clear predictions for behavior and associated neurochemical signals.
In this study, we employed integrated approaches combined with accurate quantification techniques and a mathematical model that implemented the quantitative data to reveal fundamental cellular processes underlying the emergence of multicellular collectivity.
Dealing with such complexity could, however, be facilitated by the use of mathematical modeling and, in this case, by attaining a quantitative understanding of the disease processes underlying T2DM pathophysiology and the documented effect of IL-1β therapies on these pathways ex vivo.
Yet, mathematical modeling, and especially multiscale modeling, can renew our approaches of the molecular, cellular, and physiological processes underlying the control of reproductive functions.
Our virtual replication of Maynard Smith's classical experiments demonstrates that mathematical modeling can be a powerful tool to reveal and investigate the inherent genetic and physiological processes underlying the data observed in complicated insect experiments.
It is differentiable in the sense that its behavior including what to store in memory can be learned using the mathematical process, called backpropagation, that underlies the working of neural networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com