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In this study we use the ReL biclustering algorithm (Gat-Viks et al., 2010); the causality testing proposed by Neto et al. (2013); and a tailored network reconstruction scheme.
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Unlike Virtual Private Networks (VPNs) [2] that are limited to traffic isolation capabilities and do not allow customization nor administrative control, virtual networks (VNets) can potentially be built according to different design criteria and operated as service tailored networks.
The molecular weight between crosslinks was controlled by both the oligomer molecular weight as well as the amount of the reactive diluent to tailor network properties.
State regulators can build on the baseline federal requirements to tailor network guidelines for their populations and geographies.
We undertook a descriptive baseline survey in order to understand the background and needs of SARNet members and to tailor network activities towards those needs.
Tailoring networks to better meet the needs of Big Data transfers is nontrivial with traditional networks.
In this work, we introduce a new technique which drastically reduces the computation time and memory requirement to simulate time-dependent quantum systems which is based on the use of an appropriately tailored neural network combined with the signed particle formalism.
In fact, it is general enough to be tailored to network data from other sources as well, as long as information adequately describing the properties of the nodes is provided.
One hundred corporate clients like Kraft, Hewlett-Packard, Best Buy and Colgate pay $25,000 a month for personally tailored online networks of consumers who participate in 10 research projects a month.
At some point it will be hard to ignore the benefits of tailored, owned networks capable of harmonizing issues of privacy, values, access and participation and, likewise, easy to see the costs of regulation, endless governance fights and inherent insecurity on a non-owned Internet from which criminals and hackers can't be excluded.
Once identified, the process for exploration of extraneous factors will be supervised by the iNeo Director and Scientific Advisory Committee to ensure that all suggested practice changes can be tailored to networks depending on the presence or absence of certain baseline covariates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com