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A resolution is represented by unifying two atom nodes of different clause trees which represent complementary literals.
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Researchers have released an animation on YouTube demonstrating how the incredibly high-resolution image is represented on the celestial sphere.
An attractive alternative to pixelated crystals for high spatial resolution PET detectors is represented by monolithic scintillators coupled to arrays of photodetectors.
At this resolution the marker sphere is represented by over 1.7 million voxels and the volume is represented with less than 0.07% error.
As a result, the dynamics of the interesting functional parts within a supramolecular assemblage can be analyzed at high resolution, while the remainder of the structure is represented at poorer resolution, thus keeping the total number of nodes in the system sufficiently low for computational tractability.
One of the main contributions to the degradation of the spatial resolution in positron emission tomography scanners is represented by the parallax error [1].
In each successive area along the hierarchy, the visual image is represented at a coarser resolution.
The amplitude is represented with bits of resolution and the exponent is represented with a three-bit binary word.
The discrete problem is represented on structured three-dimensional grids with non-uniform resolution.
Resolution values are represented by a grey scale.
In this low-resolution step, side chains are represented by their centroids.
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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