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Ion transport methods utilizing a traveling wave were investigated experimentally as part of the developments needed for this device.
Other methods utilizing a combination of genetic engineering and in vivo homologous recombination were inefficient at best.
In the next section, this paper introduces the difference between our visualization and the related researchers' methods utilizing a series of network graphs called a collocational network.
Based on the acquired results, it is deduced that, compared to other methods, utilizing a PID controller optimized by genetic algorithm not only reduces 50% of energy providing costs, but also regulates the inner temperature of the Lab model with an error lower than 1%.
On a smaller scale, ensemble methods utilizing a set of predictors (e.g. residue-specific [ 42], atom-specific [ 7], bagging-based [ 7]) appear to be useful for reducing noise and making better use of the available information contained within the protein.
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Methods: Utilizing an observational study design, 189 obese adult patients with BED were treated by manualized therapy protocols.
These two methods utilize a combination of techniques to mitigate the aforementioned costs.
Thus, the conventional methods utilized a greedy search approach that can be stuck in local optima.
The methods utilize a search procedure based on the Ullmann [3] respectively the VF2 algorithm [4] for subgraph isomorphism.
The most popular ensemble methods utilize a base classification algorithm to differently permutated training sets.
The anchor-based methods utilized a Clinical Global Impression-Improvement (CGI-I) and Clinical Global Impression-Severity.
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