5,999 research outputs found
Long paths in random Apollonian networks
We consider the length of the longest path in a randomly generated
Apollonian Network (ApN) . We show that w.h.p. for any constant
Vacant sets and vacant nets: Component structures induced by a random walk
Given a discrete random walk on a finite graph , the vacant set and vacant
net are, respectively, the sets of vertices and edges which remain unvisited by
the walk at a given step .%These sets induce subgraphs of the underlying
graph. Let be the subgraph of induced by the vacant set of the
walk at step . Similarly, let be the subgraph of
induced by the edges of the vacant net. For random -regular graphs , it
was previously established that for a simple random walk, the graph
of the vacant set undergoes a phase transition in the sense of the phase
transition on Erd\H{os}-Renyi graphs . Thus, for there is an
explicit value of the walk, such that for ,
has a unique giant component, plus components of size ,
whereas for all the components of are of
size . We establish the threshold value for a phase
transition in the graph of the vacant net of a simple
random walk on a random -regular graph. We obtain the corresponding
threshold results for the vacant set and vacant net of two modified random
walks. These are a non-backtracking random walk, and, for even, a random
walk which chooses unvisited edges whenever available. This allows a direct
comparison of thresholds between simple and modified walks on random
-regular graphs. The main findings are the following: As increases the
threshold for the vacant set converges to in all three walks. For
the vacant net, the threshold converges to for both the simple
random walk and non-backtracking random walk. When is even, the
threshold for the vacant net of the unvisited edge process converges to ,
which is also the vertex cover time of the process.Comment: Added results pertaining to modified walk
The height of random -trees and related branching processes
We consider the height of random k-trees and k-Apollonian networks. These
random graphs are not really trees, but instead have a tree-like structure. The
height will be the maximum distance of a vertex from the root. We show that
w.h.p. the height of random k-trees and k-Apollonian networks is asymptotic to
clog t, where t is the number of vertices, and c=c(k) is given as the solution
to a transcendental equation. The equations are slightly different for the two
types of process. In the limit as k-->oo the height of both processes is
asymptotic to log t/(k log 2)
Lycopene treatment of prostate cancer cell lines inhibits adhesion and migration properties of the cells
licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. Received: 2014.03.17; Accepted: 2014.05.23; Published: 2014.07.02 Background: Consumption of lycopene through tomato products has been suggested to reduce the risk of prostate cancer. Cellular adhesion and migration are important features of cancer progression and therefore a potential target for cancer interception. In the present study we have examined the in vitro effect of lycopene on these processes. Methods: Prostate cancer cell lines PC3, DU145 and immortalised normal prostate cell line PNT-2 were used. The adhesion assay consisted of seeding pre-treated cells onto Matrigel™, gently removing non-adherent cells and quantitating the adherent fraction using WST-1. Migratory potential was assessed using ibidi ™ migration chamber inserts, in which a cell-free zone between two confluent areas was allowed to populate over time and the migration measured. Results: 24 hour incubation of prostate cell lines with 1.15µmol/l lycopene showed a 40 % re-duction of cellular motility in case of PC3 cells, 58 % in DU145 cells and no effect was observed for PNT2 cells. A dose related inhibition of cell adhesion to a basement membrane in the form o
Cover time of a random graph with a degree sequence II: Allowing vertices of degree two
We study the cover time of a random graph chosen uniformly at random from the
set of graphs with vertex set and degree sequence
. In a previous work, the asymptotic cover time was
obtained under a number of assumptions on , the most significant
being that for all . Here we replace this assumption by . As a corollary, we establish the asymptotic cover time for the 2-core of
the emerging giant component of .Comment: 48 page
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