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A simplistic scheme of sensory information flow in the network of brain regions thought to underlie social recognition memory.
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We let the CBR traffic flow randomly on/off but keep the number of active flows in the network to be five in average.
The performance gains of MIL are shown in Table 2.Next, we vary the number of simultaneous flows in the network to 8 and 6, respectively, and measure the network performances.
In various lung diseases an obstruction to blood flow through the network of vessels in the lungs develops.
More specifically, the FNF represents the number of targets in the video/image as the amount of flow in the network, while the number of targets is unknown in advance.
By appealing to the metabolic stability longevity principle, and invoking a correlation between metabolic entropy a measure of diversity of energy flow in the network, and metabolic stability the resilience of ROS concentrations to random perturbation in enzymatic reaction rates, we predicted a series of correlations between the following pairs of properties.
Since the Select 2 for less than 2 TCA mostly leads to a disconnected network in the case of random and controlled random topologies, we use the Select 3 for less than 3 TCA for the node-degree constraint of 2. The amount of total flow in the network depends on the number of links for the GW (sink) node for a given node-degree constraint.
Heterogeneous vascular architecture, blood flow in the complex network of arteries and veins, varying metabolic heat generation rates and dependence of tissue properties on its physiological condition contribute to this complexity.
The Padma flows at less than a quarter of its capacity during the dry season (October April), and water flow in the downstream network of rivers, which often stops altogether, is insufficient to wash tidal water back out to sea (Mirza and Sarker 2004).
Genes with high betweenness centrality controls most of the information flow in the network, and represent the critical points of the network.
Studying this case allows us to focus solely on the impact of information flow in the network and characterize a benchmark for the performance of binary consensus algorithms over non-ideal communication links.
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