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Table 1 and Fig. 1, respectively, summarize the indicators used in the method and the component derived, and provide a brief idea of the framework adopted (in-depth details are available in Appendix).
The main idea of the framework proposed here is to quantify all relevant uncertainties by distributions instead of using conservative (single) values.
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Below, we present key ideas of the framework and the way impacts of independent variables on responses are investigated.
The central idea of this framework is the integration of different hardware languages in a way that harnesses the best features of each language.
The main idea of this framework provides an analytical scheme that dynamically adapt the vehicles' rate of transmission according to their priority.
The central idea of this framework relies on between-class information measures defined on multi-gene expression profiles.
The decomposition given in (11) is the central idea of the current framework, and we now describe its physical significance.
The idea of the probabilistic framework is to compute the conditional probabilistic density function (pdf) of an estimated position given the measured fingerprint pattern at the target point.
The basic idea of the extended framework is to check whether a certain crowd worker of the first team in Queue can be assigned as the leader.
The central idea of the new framework is to summarize mutational configurations as blockwise site frequency spectra.
An underlying idea of this framework is to find symptoms/signals that guide the diagnostics process.
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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