6,357 research outputs found

    The effect of bandwidth in scale-free network traffic

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    We model information traffic on scale-free networks by introducing the bandwidth as the delivering ability of links. We focus on the effects of bandwidth on the packet delivering ability of the traffic system to better understand traffic dynamic in real network systems. Such ability can be measured by a phase transition from free flow to congestion. Two cases of node capacity C are considered, i.e., C=constant and C is proportional to the node's degree. We figured out the decrease of the handling ability of the system together with the movement of the optimal local routing coefficient αc\alpha_c, induced by the restriction of bandwidth. Interestingly, for low bandwidth, the same optimal value of αc\alpha_c emerges for both cases of node capacity. We investigate the number of packets of each node in the free flow state and provide analytical explanations for the optimal value of αc\alpha_c. Average packets traveling time is also studied. Our study may be useful for evaluating the overall efficiency of networked traffic systems, and for allevating traffic jam in such systems.Comment: 6 pages, 4 figure

    A State-Wide Effort to Promote Best Practices in Industrial Energy Efficiency in Missouri [abstract]

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    Only abstract of poster available.Track III: Energy InfrastructureMissouri Industrial Assessment Center is funded by the U.S. Department of Energy's IAC program to provide services in energy efficiency for industries in the state. The aim is to promote best practices in energy efficiency, reusable energy, waste reduction and productivity through integration of activities involving the University, the state agencies, the University of Missouri Extension, the Manufacturing Extension Partnership program, the state-wide and local utilities and industrial associations. The energy audit and productivity assessment is offered to qualified small- to medium-sized manufacturing companies. The center carries out activities in research, education and outreach to: • Provide students with practical experience and training in energy engineering, by: i) providing hands-on training of industrial and productivity assessment skills; ii) establishing online materials aimed at increasing awareness to industrial energy efficiency and conservation, waste reduction, renewable energy and productivity. • Help small to medium-sized manufacturers improve energy efficiency, minimize waste and improve productivity, through: i) conducting energy audits for eligible industrial organizations in the state of Missouri and surrounding areas; ii) providing guidance to industrial organizations following the energy audits to meet or exceed the performance goal; iii) promoting interdisciplinary assessment teams of faculty, students and state energy managers and engineers. • Integrate the IAC program into other areas to create innovative approaches to delivering services, by: i) promoting best practice in industry by conducting outreach seminars and workshops in the state; ii) working with the center's partners to establish Missouri IAC as the center of resources and services for industries in the state and the surrounding areas; iii) utilizing the synergy resulting from its newt work of partnerships to offer and deliver a more comprehensive range services to small and medium manufacturers. Up to date, the center's services have covered many parts across the state of Missouri

    The neural basis of motor control and learning in the vestibulocerebellar system

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    This dissertation uses the vestibulocerebellar system to unravel the neural basis of accurate behavioral responses, adaptable motor learning and even non-motor functionalities. To this end, I have revealed cellular and synaptic mechanisms that underlie appropriate neuronal coding and sensorimotor integration and how these errors in this coding result in motor (learning) deficits and disease. In Chapter 1.2, we reviewed the anatomical and physiological char

    Role of Particle Interactions in the Feshbach Conversion of Fermion Atoms to Bosonic Molecules

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    We investigate the Feshbach conversion of fermion atomic pairs to condensed boson molecules with a microscopic model that accounts the repulsive interactions among all the particles involved. We find that the conversion efficiency is enhanced by the interaction between boson molecules while suppressed by the interactions between fermion atoms and between atom and molecule. In certain cases, the combined effect of these interactions leads to a ceiling of less than 100% on the conversion efficiency even in the adiabatic limit. Our model predicts a non-monotonic dependence of the efficiency on mean atomic density. Our theory agrees well with recent experiments on 6^6Li and 40^{40}K.Comment: 5 pages, 4 figure

    Determining mean first-passage time on a class of treelike regular fractals

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    Relatively general techniques for computing mean first-passage time (MFPT) of random walks on networks with a specific property are very useful, since a universal method for calculating MFPT on general graphs is not available because of their complexity and diversity. In this paper, we present techniques for explicitly determining the partial mean first-passage time (PMFPT), i.e., the average of MFPTs to a given target averaged over all possible starting positions, and the entire mean first-passage time (EMFPT), which is the average of MFPTs over all pairs of nodes on regular treelike fractals. We describe the processes with a family of regular fractals with treelike structure. The proposed fractals include the TT fractal and the Peano basin fractal as their special cases. We provide a formula for MFPT between two directly connected nodes in general trees on the basis of which we derive an exact expression for PMFPT to the central node in the fractals. Moreover, we give a technique for calculating EMFPT, which is based on the relationship between characteristic polynomials of the fractals at different generations and avoids the computation of eigenvalues of the characteristic polynomials. Making use of the proposed methods, we obtain analytically the closed-form solutions to PMFPT and EMFPT on the fractals and show how they scale with the number of nodes. In addition, to exhibit the generality of our methods, we also apply them to the Vicsek fractals and the iterative scale-free fractal tree and recover the results previously obtained.Comment: Definitive version published in Physical Review

    On p_T-broadening of high energy partons associated with the LPM effect in a finite-volume QCD medium

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    We study the contributions from radiation to p⊥p_{\perp}-broadening of a high energy parton traversing a QCD medium with a finite length LL. The interaction between the parton and the medium is described by decorrelated static multiple scattering. Amplitudes of medium-induced gluon emission and parton self-energy diagrams are evaluated in the soft gluon limit in the BDMPS formalism. We find both the double-logarithmic correction from incoherent scattering, which is parametrically the same as that in single scattering, and the logarithmic correction from the LPM effect. Therefore, we expect a parametrically large correction from radiation to the medium-induced p⊥p_\perp-broadening in perturbative QCD.Comment: 19 pages, focusing only on calculations about the medium-induced diagrams, origin for double-log reinterpreted, final version to appear in JHE

    Longitudinal microarray analysis of cell surface antigens on peripheral blood mononuclear cells from HIV+ individuals on highly active antiretroviral therapy

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    <p>Abstract</p> <p>Background</p> <p>The efficacy of highly active antiretroviral therapy (HAART) determined by simultaneous monitoring over 100 cell-surface antigens overtime has not been attempted. We used an antibody microarray to analyze changes in the expression of 135 different cell-surface antigens overtime on PBMC from HIV+ patients on HAART. Two groups were chosen, one (n = 6) achieved sustainable response by maintaining below detectable plasma viremia and the other (n = 6) responded intermittently. Blood samples were collected over an average of 3 years and 5–8 time points were selected for microarray assay and statistical analysis.</p> <p>Results</p> <p>Significant trends over time were observed for the expression of 7 cell surface antigens (CD2, CD3epsilon, CD5, CD95, CD36, CD27 and CD28) for combined patient groups. Between groups, expression levels of 10 cell surface antigens (CD11a, CD29, CD38, CD45RO, CD52, CD56, CD57, CD62E, CD64 and CD33) were found to be differential. Expression levels of CD9, CD11a, CD27, CD28 and CD52, CD44, CD49d, CD49e, CD11c strongly correlated with CD4+ and CD8+ T cell counts, respectively.</p> <p>Conclusion</p> <p>Our findings not only detected markers that may have potential prognostic/diagnostic values in evaluating HAART efficacy, but also showed how density of cell surface antigens could be efficiently exploited in an array-like manner in relation to HAART and HIV-infection. The antigens identified in this study should be further investigated by other methods such as flow cytometry for confirmation as biological analysis of these antigens may help further clarify their role during HAART and HIV infection.</p

    Regulation of Iron-Related Molecules In the Rat Hippocampus: Sex- and Age-Associated Differences

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    Iron accumulation, especially that of free oxidized ferrous iron, has been shown to induce tissue oxidative damage and contribute to brain aging and the development of neurodegenerative disease. Here we examine whether sex and advanced age affect the expression of iron-related molecules that participate in regulating free iron levels (heme oxygenase I (HOI), iron-regulatory protein I (IRPI), and ferritin heavy chain (FTH)) and whether changes in the expression of these molecules are associated with differences in the expression of alpha-synuclein (ASN) which is thought to be a critical regulator in the pathogenesis of neurodegeneration. Using a well-established aging animal model, we demonstrate that the expression of HOI, FTH, and IRPI mRNAs is higher in the female hippocampus than that observed in male Fischer 344/NNiaHSD x Brown Norway/BiNia (F344BN) rats, regardless of age group. Consistent with these sexassociated alterations in iron-related regulators, the expression of ASN mRNA and protein in the female hippocampus was lower than that found in male rats. These results suggest a sex-dependent difference in regulating the expression of molecules involved in iron metabolism and neurodegeneration. A similar finding in humans, if present, may help to shed light on why sex may affect the incidence of neurodegenerative disorders

    Universality of weak selection

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    Weak selection, which means a phenotype is slightly advantageous over another, is an important limiting case in evolutionary biology. Recently it has been introduced into evolutionary game theory. In evolutionary game dynamics, the probability to be imitated or to reproduce depends on the performance in a game. The influence of the game on the stochastic dynamics in finite populations is governed by the intensity of selection. In many models of both unstructured and structured populations, a key assumption allowing analytical calculations is weak selection, which means that all individuals perform approximately equally well. In the weak selection limit many different microscopic evolutionary models have the same or similar properties. How universal is weak selection for those microscopic evolutionary processes? We answer this question by investigating the fixation probability and the average fixation time not only up to linear, but also up to higher orders in selection intensity. We find universal higher order expansions, which allow a rescaling of the selection intensity. With this, we can identify specific models which violate (linear) weak selection results, such as the one--third rule of coordination games in finite but large populations.Comment: 12 pages, 3 figures, accepted for publication in Physical Review
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