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Bittencourt et al. expanded upon the dynamic nature of injury risk in a conceptual framework to counteract the reductionist approach of simplifying the many factors surrounding the onset of injury into separate units (i.e. biomechanical, behavioral, physiological and psychological) (Bittencourt et al. n.d).
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The classification of chewers in this study offers an innovative approach to simplifying the modeling of the complexity of betel nut chewing exposure.
In order to show in detail why CIP works, we will modify a common approach for simplifying the details of the problem, the independent-orbital approximation (IOA) to allow for the beating of signals from multiple mini-tips in STM.
Optimization of the network in the presence of noise finds that a partially homogeneous network improves performance, and thus suggests an approach to simplifying the design of nanoscale analog-to-digital converters and sensor networks.
Temperature and salinity are neglected as a means of simplifying the approach.
Uniqueness can be obtained by imposing some constraints on the core tensor or the matrix factors (see[9] for a review of main results concerning uniqueness of Tucker models, with discussion of three different approaches for simplifying core tensors so that uniqueness is ensured).
We chose this approach to simplify interpretation of the data, reduce the occurrence of false positives and provide strong novel EAE susceptibility candidates.
We chose this approach to simplify presentation of standardized descriptive statistics, and to allow for easier modeling of potential non-linear associations between age and HPV infection.
Degenring et al. successfully use their approach to simplify a complex metabolism model of Escherichia coli K12.
The study takes advantage of the Crank Nicolson based finite difference approach to simplify the assessment.
We compare the ability of these different approaches to simplify the processing of lignocellulose and showcase particularly comprehensive approaches and the future perspectives of these technologies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com