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On the basis of earlier studies (Cardellicchio et al., 2011; Haggard & Jundi, 2009; Linkenauger et al., 2010; Marino et al., 2010), a hypothesis could be formulated in which one would expect a larger effect for objects presented in peri-personal space, as compared with those presented in far space.
By assuming zero-mean, multivariate Gaussian distributions for the error in both the data (sensors) and the sources, a hierarchical linear model can be formulated in which the covariance of the error at the second-level, C (2), becomes an empirical prior on the source parameters at the first level [hence Parametric Empirical Bayes (PEB)].
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Certain classes are formulated in which the discrete boundary value problems will have a single solution.
An optimization problem is formulated in which the workspace volume is the objective function.
First, the family of problems is formulated in which the original problem is imbedded.
Vaccines were formulated in which most of the SpeAB was adsorbed to the adjuvant or remained in solution.
In this way, a three-dimensional hp-refinement scheme is formulated, in which hanging nodes are avoided by definition.
Diets were formulated in which CM was 100, 66, 33, and 0% of the supplemental protein replacing the protein from DDGS.
In this paper, a non-cooperative dynamic game is formulated in which a single supplier collaborates with two manufacturers on design quality improvements for their respective products.
A fuel optimal control problem of switched system is formulated, in which, ignition time, throttle opening and the elevator deflection angle are decision variables.
An optimization problem is formulated in which the objective function represents the difference between the measured modal characteristics of the loaded structure and their finite element counterparts.
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