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We previously characterized a class of tra1 alleles having mutations within the PI3K domain (Mutiu et al. 2007a).
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Then we use it to characterize a class of vector-valued Besov spaces.
We shall characterize a class of vector-valued Besov spaces in this section.
Next, we characterize a class of nonlinear systems for which a high gain observer can designed.
Next, we characterize a class of nonlinear systems for which a high gain observer can be designed.
Des Rivières and Levesque (1988) characterize a class of sentences within which these schemes can safely be instantiated.
By using a special two-dimensional sub-space of ω-price auctions, namely ω=(1−ω2,ω2) with 0≤ω2≤1, we can already characterize a class of auction mechanisms.
This paper characterizes a class of linear systems preserving passivity under sampling and introduces a new methodology preserving continuoustime passivity under discretization.
However, in addition to judgments of beauty and ugliness, the contemporary notion of an aesthetic judgment is typically used to characterize a class of judgments that also includes judgments of daintiness, dumpiness, delicacy and elegance.
This nice idea of phantom voters was introduced by Moulin (1980), who used it to characterize a class of voting schemes that are non-manipulable, in that they do not provide opportunities for strategic voting.
The main purpose of this article is to characterize a class of bivariate continuous non-negative distributions such that the sum of the components of underlying hazard gradient vector is a linear function of its arguments.
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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