The increase of the maximum coding rate yielding full diversity from to is achieved through network coding [13] at the physical layer, that is, sends a transformation of its incoming bit packets to (only linear transformations over GF 5) are considered here).
This finding is consistent with social network theory and revealed that competitive advantage may be achieved through social network resources.
They concluded that: "There is a need to go beyond a preoccupation of growth within specific organisations to also consider how scaling of social impact can be achieved through building networks, sharing approaches and supporting other organisations to replicate, develop and adapt approaches".
In conclusion, a standardized SSI surveillance, relevant preliminary benchmarked data, and a reduction in the overall SSI rate in a developing country could be achieved through a SSI network.
From these scenarios, it is found that providing a sufficient air quantity in the working places could be achieved through modification of the network topology and adjusting the values of the regulators pressure.
This suggests that in the context of sparse random networks, when network repair of a destabilized attractor is possible, it may be achieved through a minimal intervention, regardless of network size or edge density.
If certain network or control set properties can be identified as causing this disparity, then improved network stability could be achieved through either improved controller selection or modifications to the network structure.
Industrial symbiosis (IS) is a mechanism by which increased sustainability (e.g., lower carbon emissions, lower resource consumption) can be achieved through the establishment of symbiosis networks which result in more efficient material and energy use.
This process generates a network score that reflects the probability that a similar group of genes equal to or greater than the number in the network could be achieved through chance alone.
In fundamental research, better understanding of complicated signaling networks could be achieved through engineering of regulator proteins to bind to only a subset of their effector proteins.
