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Statisticians have estimated design power using computer simulation for decades to benchmark analytic sample size equations [ 4, 5], but most published articles on estimating power using simulation have been either highly specific in application or highly technical [ 6- 15].
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Several parameters used by the algorithm i.e. the number of clusters, and penalization constant for noise genes, can be fine tuned to meet specific needs in application.
However, these approaches might tend to be too specific in their application and scalability is limited by network order.
These are very specific in their applications, however, and thus are not commonly used.
We see interesting exoskeletal mechanisms here on CrunchGear every once in a while, though most of them are pretty specific in their applications.
Characterization of these cell type-specific responses to feature sizes will be critical in order to hone in on the range of effective nanopatterns relevant for specific in vivo applications.
In order to meet specific requirements in applications, such as modern lasers, optical communication, and terahertz communication, various designs have been demonstrated.
It makes sense to understand the process, both in its general terms and in specific applications, in terms of practical philosophy.
Visual languages have an important role in modeling systems, specification of software, and in specific application domains.
Regardless of differences in specific applications, the applicator design has many figures of merit in common.
Typical applications include testing in specifically challenging channel situations, or in specific application scenarios.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com