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In a paper co-authored by Rizzolatti and published in Science in 2009, it was shown how different sets of mirror neurons fire depending on whether rhesus monkeys are witnessing actions inside or outside their peripersonal space – that is, within the range of their grasp.
Conversely, how different sets of actin-binding proteins properly sort to distinct actin filament networks in the first place is not nearly as well understood.
This paper provides an extensive study of how different sets of financial and demographic parameters affect the fair guaranteed fee charged for a GLWB as well as the profit and loss distribution, using tractable equity and stochastic mortality models in a continuous time framework.
How different sets of interactors and/or localization determinants result in essentially distinct functions of the two Golgi Arf1-GEF subfamilies and how these functions serve cargo passage through the Golgi are unanswered questions.
In combination with examining the presence of specific transcription factors at the promoters of genes, it is possible to gain an understanding of how different sets of genes are regulated in different ways [ 33].
We also reflect on how different sets of factors mediate access to services provided by NGOs (needle/syringe exchange, awareness-raising and social support programmes), and how these differ from government-run services (HIV testing, treatment and OST).
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In the following, we show how different feature sets (see Table 4) affect the performance of the classifiers.
A presentation of how different parameter sets impact the programs execution time and power consumption of the processor will be given, as a result of the virtual hardwares execution.
However, this data demonstrates how misleading these and other gross measures of similarity can be for evaluating how different two sets of microarray data can be.
Considering pathways instead of individual genes as an acting unit of biological phenomena explains how different gene sets are sometimes associated with same conditions.
Then, using a real credit card fraud dataset provided by a large European card processing company, we compare state-of-the-art credit card fraud detection models, and evaluate how the different sets of features have an impact on the results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com