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Performance of the algorithm is evaluated through a series of computational experiments on randomly generated instances based on data from a poultry company in Korea and results are reported.
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For instance, based on data from the "ULME III" project, Seeber (2013, p. 86) showed that mathematical ability predicts accounting/controlling competency with an effect size of b* = 0.34 when reading and cognitive abilities (KFT) are controlled for; reading literacy had no direct influence (see also Seeber and Lehmann 2013 for findings in the economic domain).
The system-specific model of this analysis was, for instance, based on data from 248 patients ranging from preterm neonates to infants of 3 years, whereas in the current zidovudine analysis, data from only 29 patients ranging from term neonates to infants of 5 months were available (Table 1 ).
For instance, based on data from roughly 9,000 college-student drinkers across 14 college campuses in California, Gruenewald and colleagues (2010) estimated that more than one-half of all alcohol-related consequences resulted from drinking occasions in which four or fewer drinks were consumed.
The use of the immune network [35] coordinates the immune centroids as synthetic instances, based on high data density clusters which help to handle the imbalanced data sets.
After modeling the pending problem, the model is validated by five representative instances based on practical data.
Furthermore, for the airway optimisation model we have also carried out a computational analysis, providing both exact and heuristic solutions, for problem instances based on real data.
To evaluate the efficiency of the proposed algorithmic approach, in terms of quality of solutions and solution time, we provide a computational analysis on a set of instances based on real data.
To evaluate the model and the solution algorithms, we produce instances based on a study of real-life data.
Figure 9 shows correspondences of data representation in the real world to instances based on ontology.
For instance, based on the data shown in Figure 4 when the network radius increases from R to 6R, the creation time for a random topology increases from approximately 0.6 s to 1.5 s when the corresponding area increases from 7,854 m2 to 282,743 m2 and the number of nodes increases from 21 to 709.
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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