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If you're not careful, your expertise could be used for topics you'd rather not be associated with.
Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology.
In addition, examples are given in a recent review where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology [ 6].
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Another technique in this direction that is commonly used for topic modeling is latent Dirichlet allocation (LDA) [121].
In addition to partitioning clustering discussed thus far, the hierarchical clustering approach has been widely used for topic discovery as well [17].
For instance, a list of criteria is used for topic selection in most programs, but it is unclear how final decisions about the topic are made.
The CUI-question context and a topic-subject context were used for multi-topic assignment, resulting in a topic-question context.
Machine learning techniques have been used for different topics in software engineering, e.g., design pattern detection, code smell detection, bug prediction, recommending systems.
We expect that our framework can be used for further topics because our implementation is easy to extend and can be easily ported to other devices.
Moreover, microsatellites, due to their large amount of variability, have the potential to be informative about gene and genome duplication, but only recently have been used for these topics [ 23].
The methods used for selecting topics, developing key questions, searching, determining eligibility of studies, assessing study quality, conducting qualitative and quantitative syntheses, rating the strength of evidence, and summarizing findings are described.
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