1,011 research outputs found
Behaviors of susceptible-infected epidemics on scale-free networks with identical infectivity
In this article, we proposed a susceptible-infected model with identical
infectivity, in which, at every time step, each node can only contact a
constant number of neighbors. We implemented this model on scale-free networks,
and found that the infected population grows in an exponential form with the
time scale proportional to the spreading rate. Further more, by numerical
simulation, we demonstrated that the targeted immunization of the present model
is much less efficient than that of the standard susceptible-infected model.
Finally, we investigated a fast spreading strategy when only local information
is available. Different from the extensively studied path finding strategy, the
strategy preferring small-degree nodes is more efficient than that preferring
large-degree nodes. Our results indicate the existence of an essential
relationship between network traffic and network epidemic on scale-free
networks.Comment: 5 figures and 7 page
Efficient routing on complex networks
In this letter, we propose a new routing strategy to improve the
transportation efficiency on complex networks. Instead of using the routing
strategy for shortest path, we give a generalized routing algorithm to find the
so-called {\it efficient path}, which considers the possible congestion in the
nodes along actual paths. Since the nodes with largest degree are very
susceptible to traffic congestion, an effective way to improve traffic and
control congestion, as our new strategy, can be as redistributing traffic load
in central nodes to other non-central nodes. Simulation results indicate that
the network capability in processing traffic is improved more than 10 times by
optimizing the efficient path, which is in good agreement with the analysis.Comment: 4 pages, 4 figure
Duplex quantum communication through a spin chain
Data multiplexing within a quantum computer can allow for the simultaneous
transfer of multiple streams of information over a shared medium thereby
minimizing the number of channels needed for requisite data transmission. Here,
we investigate a two-way quantum communication protocol using a spin chain
placed in an external magnetic field. In our scheme, Alice and Bob each play
the role of a sender and a receiver as two states cos({\theta}1/2)|0> +
sin({\theta}1/2)exp(i{\phi}1)|1>, cos({\theta}2/2)|0> +
sin({\theta}2/2)exp(i{\phi}2)|1> are transferred through one channel
simultaneously. We find that the transmission fidelity at each end of a spin
chain can usually be enhanced by the presence of a second party. This is an
important result for establishing the viability of duplex quantum communication
through spin chain networks.Comment: 5 pages, 4 figure
Hot and repulsive traffic flow
We study a message passing model, applicable also to traffic problems. The
model is implemented in a discrete lattice, where particles move towards their
destination, with fluctuations around the minimal distance path. A repulsive
interaction between particles is introduced in order to avoid the appearance of
traffic jam. We have studied the parameter space finding regions of fluid
traffic, and saturated ones, being separated by abrupt changes. The improvement
of the system performance is also explored, by the introduction of a
non-constant potential acting on the particles. Finally, we deal with the
behavior of the system when temporary failures in the transmission occurs.Comment: 22 pages, uuencoded gzipped postscript file. 11 figures include
Computerized cognitive training in prostate cancer patients on androgen deprivation therapy: a pilot study
© 2017, Springer-Verlag GmbH Germany, part of Springer Nature. Purpose: Prostate cancer patients who have undergone androgen deprivation therapy (ADT) may experience cognitive impairment, yet there is an unmet need for nonpharmacological interventions to address cognitive impairment in this population. This study examines the feasibility, acceptability, and preliminary efficacy of a home-based computerized cognitive training (CCT) program to treat cancer-related cognitive impairment. Methods: Sixty men who had received ≥ 3 months of ADT were screened for at least mild cognitive or neurobehavioral impairment and randomized to 8 weeks of CCT or usual care. Follow-up assessments occurred immediately post-intervention or equivalent (T2) and 8 weeks later (T3). The acceptability of CCT was also assessed. Results: Feasibility:A priori feasibility thresholds were partially met (i.e., randomization rate \u3e 50%, retention rate \u3e 70% excluding CCT drop-outs, but \u3c 70% for intent-to-treat). Acceptability: Participants were mostly satisfied with CCT and found it somewhat enjoyable, though barriers to uptake existed. Preliminary efficacy: Linear mixed models indicated significant time by group effects favorable to CCT in reaction time (p =.01), but unfavorable to CCT in verbal and visual memory (ps \u3c .05). Memory was temporarily suppressed in the CCT group at T2, but normalized by T3. There was no effect of CCT on self-reported cognitive functioning, neurobehavioral functioning, nor quality of life. Conclusions: This study provides tentative support for the feasibility and acceptability of CCT to treat mild cognitive impairment in ADT patients. CCT had a beneficial effect on reaction time, but temporarily suppressed memory. CCT’s benefits may be limited to a narrow area of functioning. Larger-scale studies are needed
On the Particle Data Group evaluation of Psi' and chi_c Branching Ratios
I propose a new evaluation of and branching ratios
which avoids the correlations affecting the current Particle Data Group
evaluation.
These correlations explain the apparent technique-dependent discrepancies
between the available determinations of the
and under the hypotesis that the current
values of the branching ratios are
overestimated.
In the process I also noticed that Particle Data Group has not restated many
of the older measurements, when necessary, for the new value of , which significantly affects the evaluation of some
relevant and exclusive branching ratios.Comment: 13 pages. Revised version. Submitted to Phys. Rev.
Priority diffusion model in lattices and complex networks
We introduce a model for diffusion of two classes of particles ( and )
with priority: where both species are present in the same site the motion of
's takes precedence over that of 's. This describes realistic situations
in wireless and communication networks. In regular lattices the diffusion of
the two species is normal but the particles are significantly slower, due
to the presence of the particles. From the fraction of sites where the
particles can move freely, which we compute analytically, we derive the
diffusion coefficients of the two species. In heterogeneous networks the
fraction of sites where is free decreases exponentially with the degree of
the sites. This, coupled with accumulation of particles in high-degree nodes
leads to trapping of the low priority particles in scale-free networks.Comment: 5 pages, 3 figure
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