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We term these interaction data and design feedback.
These interaction curves were compared with different code rules.
These interaction weights representing elements of S and D are denoted by s and d respectively.
We have graphed the predictive margins for these interaction effects for better visual representation.
These interaction data enable us to explore the properties of proteins from the perspective of ligand.
This is why the following regression analyses directly include these interaction effects.
These interaction could contribute to the enhancement of T c in nanocomposites.
However, the calculation of these interaction descriptors is similar to each other.
We employed these interaction models to develop other artifacts, such as prototypes.
In addition, the effects of these interaction forces on heat transfer were disregarded.
The dependencies of surface structures on these interaction parameters have been preliminarily verified.
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