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Since the LSPR depends on particle size, shape, orientation, and aggregation, a broad assortment of excitation sources (lasers) would be required to flexibly adopt for the respective samples of interest.
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Using this method, small gage lengths can be flexibly adopted to obtain a uniform plastic deformation as large as possible.
These results suggest that the human brain flexibly adopts, and independently controls, conflict-specific resolution strategies, biasing motor programming to resolve response-based conflict, and biasing stimulus representations to resolve stimulus-based conflict.
Our approach presented here aims in finding an effective solution for this issue comprising the following: (1) a formal logic-based model for flexible information acquisition from a PLMS, and (2) an automated reasoning mechanism, which can be flexibly adopted for an implementation of various applications of the operational mode (e.g. diagnostic functionality).
The methodology provides a promising comparison framework; it can be seen as a way of setting some basic guidelines to frame further debates and negotiations and can be flexibly adopted and modified by decision makers to obtain relevant information for policy design.
He used an optimal 0-1 ILP formulation which is very generic and can be flexibly adopted to different cost metrics (at adder or logic level) and different constraints (adder depth and fan-out).
It can also be flexibly adopted as a lifestyle, or merely a hobby, depending on how much time you wish to invest.
Here we establish an alternative approach based upon an acceptance-rejection algorithm which may relatively easily and flexibly be adopted to rather different situations.
When performing lie-telling tasks, the subjects may adopt task sets that flexibly configure information processing under the control of the two networks in response to changing task demands.
Its key findings suggest that those employers that adopt more sustainable practices, responding flexibly to change whilst planning for the future, are likely to be the ones that drive the most improvement in their performance.
We adopt the t-exponential family since it can more flexibly accommodate real-world data, that entail outliers and distributions with fat tails, compared to conventional Gaussian model assumptions.
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