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Taxonomic studies on immature stages of the family Tenebrionidae are rare because the knowledge about the developmental stages of this family is very limited (Jia, Ren, & Yu, 2013).
This is because the knowledge about the system of interest embedded in the low-fidelity model allows constructing the surrogate model that has good generalization capability at a cost of just a few evaluations of the original model.
While a large variety of surrogate modeling and optimization are available, the methods exploiting the so-called physics-based surrogates seem to be the most efficient ones because the knowledge about the system of interest embedded in the underlying (often simulation-based) low-fidelity model ensures good generalization of the surrogate and a rapid convergence of the SBO algorithm.
It is noted that the method is uncertain because the knowledge about the population size is approximate only.
There has been a growing concern about the safety of consumers exposed to nanomaterials used in consumer products in the last years (EFSA 2011), mainly because the knowledge about the exposure to and the uptake of nanomaterials by the consumer is limited (Savolainen et al. 2010; Hunt et al. 2013).
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"The audience enjoys the performance because of the knowledge about the [artistic] origins of a sound, although the physiological response remains the same as for uncomfortable sounds," Kopiez says.
Whereas experts feel that they are doing something fundamentally different, or even trying to find a solution for the objections against genetic manipulation by pursuing an alternative which provides similar advantages, the public experience the two as the same thing because they lack the knowledge about the attributes that set the two apart.
They result because the semantic knowledge about the target object that is activated during the comparison with the anchor influences the absolute judgment.
But the problem is more severe today, Mr. DeLong says, because the knowledge we are about to lose is more complex, abstract and costly to recreate.
Because the Knowledge Graph "knows" about millions of different objects, it also needs to know if somebody who is looking for "Chiefs," for example, is looking for the Kansas City Chiefs or the Chiefs rugby team.
Because of the knowledge available about the motor section of the UPDRS, explicit model building using factor analysis models was to be preferred here, because it allowed for the formulation and testing of specific models as well as for specifications of detailed restrictions on the parameters and the residuals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com