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Key players have been associated with all these functions in a range of network settings [ 11, 19, 26, 46- 48].
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Correlations between low-frequency blood oxygen level dependent (BOLD) signal variation in distant regions, even in the absence of external stimulation, have been observed in a range of networks and have been used as an assay of functional connectivity in the human brain (Biswal et al. 1995; Lowe et al. 1998; Greicius et al. 2003; Beckmann et al. 2005; Fox et al. 2005).
In several cases, C may be strongly affected by sampling effort [ 25, 27], while H2' remained largely unchanged in simulations of random associations over a range of network sizes, variable network asymmetries, and number of interactions.
The performance of proposed MFP-VNMH is assessed through extensive numerical experiments for a range of network scenarios in comparison with the overall VN remapping approach and the end-to-end link remapping approach.
Degree distributions have been studied in a range of ecological networks, including both mutualistic bipartite networks of plants and pollinators or seed dispersers and antagonistic bipartite networks of plants and their consumers.
This current mediates bursting in a range of neural networks [ 10 14], and in a subset of zebrafish interneurons it promotes generation of slow oscillations during coiling and high-frequency bursting during swimming.
In this section, we evaluate the performance of SDMA, NOMA, and RSMA in a wide range of network loads (underloaded and overloaded regimes) and user deployments (with a diversity of channel directions, channel strengths, and qualities of channel state information at the transmitter).
The three multiple access schemes are compared, and extensive numerical results show that RSMA provides a smooth transition between SDMA and NOMA and outperforms them both in a wide range of network loads (underloaded and overloaded regimes) and user deployments (with a diversity of channel directions, channel strengths, and qualities of channel state information at the transmitter).
As a result, the social effect parameter can be identified in a wider range of network structures.
All routing algorithms perform poor in a wide range of network configurations.
For example, the asset approach proposes, that earlier on in life individual accounts of social capital (for example Bourdieu [ 36]) are appropriate as young people need to accumulate a set of social resources that enable access to, and participation in a range of different types of networks to improve their opportunities for wellbeing and health.
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