30,708 research outputs found

    Interparticle gap distributions on one-dimensional lattices

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    We analyse the successive binding of two species of particles on a one-dimensional discrete lattice, where the second variety is deposited only after complete adsorption of the first. We consider the two extreme cases of a perfectly irreversible initial deposition, with non-sliding particles, and that of a fully equilibrated one. For the latter we construct the exact gap distribution from the Tonks gas partition function. This distribution is contrasted with that obtained from the random sequential adsorption process. We discuss implications for the kinetics of adsorption of the second species, as well as experimental relevance of our results

    Surface wave scattering at nonuniform fluid interfaces

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    Effects of spatially varying interfacial parameters on the propagation of surface waves are studied. These variations can arise from inhomogeneities in coverage of surface active substances such as amphiphillic molecules at the fluid/gas interface. Such variations often occur in phase coexistence regions of Langmuir monolayers. Wave scattering from these surface inhomogeneities are calculated in the limit of small variations in the surface parameters by using the asymptotic form of surface Green's functions in the first order Born approximation. When viscosity and variations in surface elastic moduli become important, modes other than transverse capillary waves can change the characteristics of propagation. Scattering among these modes provides a mechanism for surface wave attenuation in addition to viscous damping on a homogeneous surfactant covered interface. Experimental detection of waves attenuation and scattering is also discussed.Comment: 11 pages; 8 figures on reques

    The Effects of Statistical Multiplicity of Infection on Virus Quantification and Infectivity Assays

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    Many biological assays are employed in virology to quantify parameters of interest. Two such classes of assays, virus quantification assays (VQA) and infectivity assays (IA), aim to estimate the number of viruses present in a solution, and the ability of a viral strain to successfully infect a host cell, respectively. VQAs operate at extremely dilute concentrations and results can be subject to stochastic variability in virus-cell interactions. At the other extreme, high viral particle concentrations are used in IAs, resulting in large numbers of viruses infecting each cell, enough for measurable change in total transcription activity. Furthermore, host cells can be infected at any concentration regime by multiple particles, resulting in a statistical multiplicity of infection (SMOI) and yielding potentially significant variability in the assay signal and parameter estimates. We develop probabilistic models for SMOI at low and high viral particle concentration limits and apply them to the plaque (VQA), endpoint dilution (VQA), and luciferase reporter (IA) assays. A web-based tool implementing our models and analysis is also developed and presented. We test our proposed new methods for inferring experimental parameters from data using numerical simulations and show improvement on existing procedures in all limits.Comment: 19 pages, 11 figures, 1 tabl

    1++1^{++} Nonet Singlet-Octet Mixing Angle, Strange Quark Mass, and Strange Quark Condensate

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    Two strategies are taken into account to determine the f1(1420)f_1(1420)-f1(1285)f_1(1285) mixing angle ΞΈ\theta. (i) First, using the Gell-Mann-Okubo mass formula together with the K1(1270)K_1(1270)-K1(1400)K_1(1400) mixing angle ΞΈK1=(βˆ’34Β±13)∘\theta_{K_1}=(-34\pm 13)^\circ extracted from the data for B(Bβ†’K1(1270)Ξ³),B(Bβ†’K1(1400)Ξ³),B(Ο„β†’K1(1270)Ξ½Ο„){\cal B}(B\to K_1(1270) \gamma), {\cal B}(B\to K_1(1400) \gamma), {\cal B}(\tau\to K_1(1270) \nu_\tau), and B(Ο„β†’K1(1420)Ξ½Ο„){\cal B}(\tau\to K_1(1420) \nu_\tau), gave ΞΈ=(23βˆ’23+17)∘\theta = (23^{+17}_{-23})^\circ. (ii) Second, from the study of the ratio for f1(1285)→ϕγf_1(1285) \to \phi\gamma and f1(1285)→ρ0Ξ³f_1(1285) \to \rho^0\gamma branching fractions, we have two-fold solution ΞΈ=(19.4βˆ’4.6+4.5)∘\theta=(19.4^{+4.5}_{-4.6})^\circ or (51.1βˆ’4.6+4.5)∘(51.1^{+4.5}_{-4.6})^\circ. Combining these two analyses, we thus obtain ΞΈ=(19.4βˆ’4.6+4.5)∘\theta=(19.4^{+4.5}_{-4.6})^\circ. We further compute the strange quark mass and strange quark condensate from the analysis of the f1(1420)βˆ’f1(1285)f_1(1420)-f_1(1285) mass difference QCD sum rule, where the operator-product-expansion series is up to dimension six and to O(Ξ±s3,ms2Ξ±s2){\cal O}(\alpha_s^3, m_s^2 \alpha_s^2) accuracy. Using the average of the recent lattice results and the ΞΈ\theta value that we have obtained as inputs, we get /=0.41Β±0.09/ =0.41 \pm 0.09.Comment: 10 pages, 1 table, published versio

    Variable dimension weighted universal vector quantization and noiseless coding

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    A new algorithm for variable dimension weighted universal coding is introduced. Combining the multi-codebook system of weighted universal vector quantization (WUVQ), the partitioning technique of variable dimension vector quantization, and the optimal design strategy common to both, variable dimension WUVQ allows mixture sources to be effectively carved into their component subsources, each of which can then be encoded with the codebook best matched to that source. Application of variable dimension WUVQ to a sequence of medical images provides up to 4.8 dB improvement in signal to quantization noise ratio over WUVQ and up to 11 dB improvement over a standard full-search vector quantizer followed by an entropy code. The optimal partitioning technique can likewise be applied with a collection of noiseless codes, as found in weighted universal noiseless coding (WUNC). The resulting algorithm for variable dimension WUNC is also described
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