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This problem of constructing a low-dimensional stochastic representation of property variations is analogous to the problem of manifold learning and parametric fitting of hyper-surfaces encountered in image processing and psychology.
It starts with the historic deal providing for representation of property or land in the U.S. Senate and representation of people in the House of Representatives.
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They rely on the shallow water equations for surface flow and on the Richards' equations for subsurface flow, allowing a spatially explicit representation of properties and states.
This study demonstrates that the effects of fine scale heterogeneity that induces K-anisotropy at larger scales can be captured through a transient analysis of tomographic slug tests, which are very difficult to quantify otherwise with conventional hydraulic tests, thus allowing a better representation of properties controlling flow and transport in aquifer systems.
This result indicates that our norms reflect actual differences in the representation of properties and concepts.
These results indicate that the norms reflect something essential about the representation of properties.
Humphreys emphasizes that fusion is a "real physical operation, not a mathematical or logical operation on predicative representations of properties".
Therefore, a precise representation of thermophysical properties using an adequate property model is necessary.
How is representation of any property is possible?
Of course, no finite matrix can fully capture the range of variation, but it can give a useful partial representation of the property in question.
Alternatively, participants may form a generic, multimodal representation of the property rotten, based on earlier experience but abstracted from the specific objects with which it was experienced.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com