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This example explains why the word projective is used in the above definition.
"Now I'm not promising we will have bulls in the game," Tomaszkiewicz adds, "but this example explains pretty well the whole idea behind this feature.
While this example explains how the downscaling can improve the gridded estimates by incorporating the determinism that location and elevation may lend to the estimate of climate parameters, this may not always be the case, depending on whether the PRISM estimate closely matches the measured data and whether the topography is flat or very spatially variable.
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This last example explains why the conductivity of a metal increases substantially with falling temperature: in a pure metal at room temperature, most resistance to the motion of free electrons comes from the thermal vibration of the atoms; if the temperature is reduced to almost absolute zero, where thermal motion essentially stops, conductivity can increase several thousandfold.
This simple example explains the concept of "Trust Net" and how we will exchange data among nodes.
The following example explains this situation.
The following example explains this latter situation and that of the previous remark.
Of course, we can combine some the above results to improve the lower and upper bounds of L. The following example explains this situation.
The following example explains the case.
The following example explains the scenario.
Example explains, "I'm a veteran.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com