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Similar to discrete models, a common way to obtain the aggregate interference distribution when using continuous models is to approximate it by a known distribution, as described in Section 3.2.1.
In order to be able to compare the results obtained from the analyses of the different finite elements models, a common set of rules need to be followed while building them.
Despite the fact that these applications have yet to uncover robust business models (a common yet misplaced gripe), they could be incredibly valuable to larger companies (or even handset makers) who want to act on this data but don't want to be seen as grafting it without permission.
In univariate random effects models, a common practice is to formulate mixed model equations using the ratios of residual variance to variances of the random effects.
Second, a novel method is proposed, named msiDBN, which models a common representation of multiple PPI networks using a deep belief network framework and analyzes the reconstruction errors and the variabilities across the time courses in the biological process.
This idea is compatible with modular or 'plug and play' models, a common concept used in synthetic biology [ 17- 19], that we now propose to extrapolate to include spatial effects in arbitrary cellular processes.
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These algorithms will be direct applications of logistic models, using a common modelling strategy for different syndrome groups: respiratory system, gastrointestinal and cutaneous syndrome groups.
In our considered system model, a common subcarrier grid, (mathcal {S}_{text {grid}}), is firstly formed.
He was interested in extending the Black-Scholes model, a common tool used by financial experts to price a type of derivative called options, by using Levy statistics.
Then, using this complexity model, a common encoding parameter setting table is derived, which leads to the least amount of distortion for each complexity condition.
This paper proposes a cooperative design of a parity-check network coding scheme in the context of a two-source multiple access relay channel (MARC) model, a common compact model in hierarchical wireless sensor networks (WSNs).
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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