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With only minor refinements, for some systems, this formulation describes observations extremely well.
However, for some systems this argument might not hold true entirely [ 16].
In some systems, this can result in hosts which harbour plasmids being fitter than their plasmid-free ancestors (Dionisio et al. 2005; Starikova et al. 2013).
Although in some systems this function can be provided by a general physician or internist, in countries with a well-developed primary care system, such as in the UK, much of this role depends on general practitioners (GPs) [ 15].
As has been shown with some systems, this could be partially attributed to differential selective pressures resulting from host cycling [ 16, 21, 22, 49], yet studies with mosquito-adapted WNV MP20 demonstrate that host-specific adaptations without significant fitness trade-offs in vertebrate hosts are attainable, suggesting other adaptive constraints may exist [ 24].
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Some systems provide this functionality, but they do so in a way which is static or cannot be applied to problem solving tasks.
Some systems overcome this limitation by performing the matching at the semantic level (e.g., matching different keywords with the same meaning such as school and university)[35, 36].
Some systems overcome this limitation and execute iterations asynchronously by creating reduce tasks equal to map tasks, co-locating each pair on the same node, and then passing the output of each reduce task directly to its corresponding map task.
All recent commercial ICISs have incorporated CPOE, and some systems combine this with varying degrees of clinical decision support systems (CDSSs).
In some microbioreactor systems, this assumption may be questionable; certainly so for those that rely on diffusion for mixing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com