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* Inference in hierarchical models can explain how knowledge at multiple levels of abstraction is acquired.
Notably, Arctic sea ice is melting more rapidly than the models can explain, suggesting that the simulations aren't fully capturing certain processes.
Two distinct models can explain the common increasing or decreasing trend among the three areas, which was observed for a wide range of mono- and oligonucleotides.
Though 2D models can explain the origin of the notching, 3D simulation is needed in order to describe real geometry.
Yet the forces at work are not well understood, because gaining access to the region to carry out ground-based studies is so difficult, limiting the accuracy of forecasting and leaving major gaps in what climate models can explain.
Staddon shows how simple dynamic models can explain a surprising variety of animal and human behavior, ranging from simple orientation, reflexes, and habituation through feeding regulation, operant conditioning, spatial navigation, stimulus generalization, and interval timing.
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The model can explain the time evolution of partial pressure.
Thus, this combined model can explain and to some extent quantify under which conditions a symbiotic relationship is advantageous.
In addition, the model can explain some basic principles of fundamental diagrams of traffic flow.
Furthermore, these values indicate that our experimental model can explain 95.75% of the total variation.
The model can explain the so-called traveling standing wave effect in thermoacoustics very well.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com