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We estimated models explaining this PC matrix (de Jong et al. 2016), as well as models explaining the matrix of flows aggregated to the country to country level (using 214 countries in total).
Literature provides two models explaining this phenomenon.
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Recent models explain this nonlinear behavior as an intrinsic feature of disordered networks of stiff fibers.
Response normalization models explains this phenomenon because the second stimulus increases the amount of divisive normalization.
We developed a Machine Learning method which inferred a model explaining this complex, stochastic all-or-none dataset.
A model explaining this phenomenon, based on the temperature gradient developed within the impacted region during collision, is presented.
The open systems interconnection (OSI) reference model explains this layered architecture.
A simple model explains this correlation and predicts the melting temperature at which downhill folding becomes possible.
Ptolemy's model explained this "imperfection" by postulating that the apparently irregular movements were a combination of several regular circular motions seen in perspective from a stationary Earth.
As discussed in this report, the induction model explains this difference based on variations in the initial velocity and signalling duration.
The inclusion of number of sexual partners in the adjusted model explained this change, indicating reverse co-linearity between the two variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com