31,692 research outputs found
Interparticle gap distributions on one-dimensional lattices
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
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
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
Nonet Singlet-Octet Mixing Angle, Strange Quark Mass, and Strange Quark Condensate
Two strategies are taken into account to determine the
- mixing angle . (i) First, using the
Gell-Mann-Okubo mass formula together with the - mixing
angle extracted from the data for , and , gave . (ii) Second, from the study of the ratio for
and branching
fractions, we have two-fold solution or
. Combining these two analyses, we thus obtain
. We further compute the strange quark mass
and strange quark condensate from the analysis of the
mass difference QCD sum rule, where the operator-product-expansion series is up
to dimension six and to accuracy.
Using the average of the recent lattice results and the value that we
have obtained as inputs, we get .Comment: 10 pages, 1 table, published versio
Variable dimension weighted universal vector quantization and noiseless coding
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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