Resort workers: the role of social media in connecting youth travellers and mediating the neo-tribe

<div><p>The detection of the singleton attractors is of great significance for the systematic study of genetic regulatory network. In this paper, we design an algorithm to compute the singleton attractors and pre-images of the strong-inhibition Boolean networks which is a biophysically plausible gene model. Our algorithm can not only identify accurately the singleton attractors, but also find easily the pre-images of the network. Based on extensive computational experiments, we show that the computational time of the algorithm is proportional to the number of the singleton attractors, which indicates the algorithm has much advantage in finding the singleton attractors for the networks with high average degree and less inhibitory interactions. Our algorithm may shed light on understanding the function and structure of the strong-inhibition Boolean networks.</p></div

The results of for a random ER network.

<p><i>N</i> = 200, , , and , the plot includes completely random configurations (black points), the point-to-point-positive correlation configuration (open squares), and the point-to-point-negative correlation configuration (solid squares) in (a); the single-point-positive correlation configurations and in (c); and the single-point-negative correlation configurations in (d) and in (e). (b) The histogram for random configurations. (f) vs . A remarkable finding in (e) is 's are not only very small, but also their range is very narrow, indicating one is enough in determining the networked dynamics. For more details, see the text.</p

Histograms of for random configurations of a SW network.

<p>(a)–(d) <i>N</i> = 200 and with different rewiring probabilities <i>P</i>: <i>P</i> = 0.4, 0.3, 0.2, and 0.1, respectively. The open and solid squares represent the configurations of point-to-point-positive and point-to-point-negative correlations between the node masses and node degrees, respectively.</p

Controllability of network.

<p>Control of by adding one node (<i>m</i> = 10) and connecting it to any one node (lower part) and any two nodes (higher part) in an ER network, the same as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0082161#pone-0082161-g001" target="_blank">Figs. 1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0082161#pone-0082161-g002" target="_blank">2</a>, in contrast to the uncontrolled value of (dashed line).</p

The results of and for a scale-free network.

<p>Similar to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0082161#pone-0082161-g001" target="_blank">Figs. 1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0082161#pone-0082161-g002" target="_blank">2</a> for a scale-free network (<i>N</i> = 200, , , and ) instead.</p

The results of for a random ER network.

<p>Similar to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0082161#pone-0082161-g001" target="_blank">Fig. 1</a> for the results of with the same ER network considered instead. Again the effect of one is enough appears, but this time becomes maximal for the single-point-negative correlation configuration in (d). For more details, see the text.</p

Mechanical parameters of coal gangue samples.

Mechanical parameters of coal gangue samples.</p

Fractal characteristics of gangue particle size distribution under different ball-to-powder ratios.

(a) ball-to-powder ratio is 3. (b) ball-to-powder ratio is 6. (c) ball-to-powder ratio is 9. (d) ball-to-powder ratio is 12. (e) ball-to-powder ratio is 15.</p

Schematic diagram of gangue sampling site and stratum.

Schematic diagram of gangue sampling site and stratum.</p

The shape fractal dimension change of gangue under different ball-to-powder ratios.

(a) The ratio of ball to gangue is 3. (b) The ratio of ball to gangue is 6. (c) The ratio of ball to gangue is 9. (d) The ratio of ball to gangue is 12. (e) The ratio of ball to gangue is 15. (f) Change of fractal dimension of shape.</p