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Associations are reported between a high load of Streptococcus pneumoniae in blood samples, increased sepsis severity and higher mortality [ 9].
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The axial strength of the composite members allow them to carry a high load, and the joints between those members should be strong enough to carry this load as well.
Furthermore, it has been suggested that there is an association between a high viral load and the persistence of infection with HPV (Ho et al, 1998).
This could explain the recent observed association in three studies between a high organism load and increased risk of treatment failure following both azithromycin and josamycin [ 41, 42, 62].
This correlation enables the hypervisor to distinguish between benignant high load and DoS attacks.
Our solution correlates as well VMs application metrics with the actual resources load, which enables the hypervisor to distinguish between benignant high load and DoS attacks.
The second is allowing VMs to share information about their current application metrics (e.g, number of clients, requests and sales) to the hypervisor, which in turn allows distinguishing between legitimate high load and DoS attacks.
On the other hand, this combination between high load of information not being optimally exploited by the summary statistics, and statistical tools available requiring heavy underlying hypotheses, suggests the use of another possible family of methods, coming from science of complex systems based on network theory [ 24, 25].
In addition, a mixed ANOVA on auditory d', with Perceptual Load as a between-subjects factor (low load, high load) and Block (1st, 2nd) as a within-subjects factor, revealed no significant main effect of specific task experience within our experiment, F 1, 68) = 1.59, p =.212, ηp =.024, and no significant interaction between perceptual load and task experience (F < 1).
Nevertheless, there was a main effect of condition (F 2,26) = 5.55, p = .010), mainly due to a significant difference between single task and high load condition (post-hoc comparison p = .007, all other comparisons: p>.05).
Accuracy dropped from single task conditions to dual task conditions and particularly between low load and high load conditions (main effect: F 2,26) = 58.88, p<.001; post-hoc comparisons: single task versus low load: p = .003, single task versus high load: p<.001, low load versus high load: p<.001).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com