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Defining user perception of distributed multimedia quality
This article presents the results of a study that explored the human side of the multimedia experience. We propose a model that assesses quality variation from three distinct levels: the network, the media and the content levels; and from two views: the technical and the user perspective. By facilitating parameter variation at each of the quality levels and from each of the perspectives, we were able to examine their impact on user quality perception. Results show that a significant reduction in frame rate does not proportionally reduce the user's understanding of the presentation independent of technical parameters, that multimedia content type significantly impacts user information assimilation, user level of enjoyment, and user perception of quality, and that the device display type impacts user information assimilation and user perception of quality. Finally, to ensure the transfer of information, low-level abstraction (network-level) parameters, such as delay and jitter, should be adapted; to maintain the user's level of enjoyment, high-level abstraction quality parameters (content-level), such as the appropriate use of display screens, should be adapted
Some Fundamental Properties of a Multivariate von Mises Distribution
In application areas like bioinformatics multivariate distributions on angles
are encountered which show significant clustering. One approach to statistical
modelling of such situations is to use mixtures of unimodal distributions. In
the literature (Mardia et al., 2011), the multivariate von Mises distribution,
also known as the multivariate sine distribution, has been suggested for
components of such models, but work in the area has been hampered by the fact
that no good criteria for the von Mises distribution to be unimodal were
available. In this article we study the question about when a multivariate von
Mises distribution is unimodal. We give sufficient criteria for this to be the
case and show examples of distributions with multiple modes when these criteria
are violated. In addition, we propose a method to generate samples from the von
Mises distribution in the case of high concentration.Comment: fixed a typo in the article title, minor fixes throughou
Helical states of nonlocally interacting molecules and their linear stability: geometric approach
The equations for strands of rigid charge configurations interacting
nonlocally are formulated on the special Euclidean group, SE(3), which
naturally generates helical conformations. Helical stationary shapes are found
by minimizing the energy for rigid charge configurations positioned along an
infinitely long molecule with charges that are off-axis. The classical energy
landscape for such a molecule is complex with a large number of energy minima,
even when limited to helical shapes. The question of linear stability and
selection of stationary shapes is studied using an SE(3) method that naturally
accounts for the helical geometry. We investigate the linear stability of a
general helical polymer that possesses torque-inducing non-local
self-interactions and find the exact dispersion relation for the stability of
the helical shapes with an arbitrary interaction potential. We explicitly
determine the linearization operators and compute the numerical stability for
the particular example of a linear polymer comprising a flexible rod with a
repeated configuration of two equal and opposite off-axis charges, thereby
showing that even in this simple case the non-local terms can induce
instability that leads to the rod assuming helical shapes.Comment: 34 pages, 9 figure
Elastic energy of proteins and the stages of protein folding
We propose a universal elastic energy for proteins, which depends only on the
radius of gyration and the residue number . It is constructed using
physical arguments based on the hydrophobic effect and hydrogen bonding.
Adjustable parameters are fitted to data from the computer simulation of the
folding of a set of proteins using the CSAW (conditioned self-avoiding walk)
model. The elastic energy gives rise to scaling relations of the form
in different regions. It shows three folding stages
characterized by the progression with exponents , which we
identify as the unfolded stage, pre-globule, and molten globule, respectively.
The pre-globule goes over to the molten globule via a break in behavior akin to
a first-order phase transition, which is initiated by a sudden acceleration of
hydrogen bonding
A systematically coarse-grained model for DNA, and its predictions for persistence length, stacking, twist, and chirality
We introduce a coarse-grained model of DNA with bases modeled as rigid-body
ellipsoids to capture their anisotropic stereochemistry. Interaction potentials
are all physicochemical and generated from all-atom simulation/parameterization
with minimal phenomenology. Persistence length, degree of stacking, and twist
are studied by molecular dynamics simulation as functions of temperature, salt
concentration, sequence, interaction potential strength, and local position
along the chain, for both single- and double-stranded DNA where appropriate.
The model of DNA shows several phase transitions and crossover regimes in
addition to dehybridization, including unstacking, untwisting, and collapse
which affect mechanical properties such as rigidity and persistence length. The
model also exhibits chirality with a stable right-handed and metastable
left-handed helix.Comment: 30 pages, 20 figures, Supplementary Material available at
http://www.physics.ubc.ca/~steve/publications.htm
Mean-field methods in evolutionary duplication-innovation-loss models for the genome-level repertoire of protein domains
We present a combined mean-field and simulation approach to different models
describing the dynamics of classes formed by elements that can appear,
disappear or copy themselves. These models, related to a paradigm
duplication-innovation model known as Chinese Restaurant Process, are devised
to reproduce the scaling behavior observed in the genome-wide repertoire of
protein domains of all known species. In view of these data, we discuss the
qualitative and quantitative differences of the alternative model formulations,
focusing in particular on the roles of element loss and of the specificity of
empirical domain classes.Comment: 10 Figures, 2 Table
Liquid-Sensing Probe and Methods for Using the Same
A sensor assembly includes a main body, a sensor, and a filler. The main body includes an outer surface having a continuously-variable radius of curvature in at least one portion. A sensor in thermal communication with a region of that surface having relatively low radius of curvature is disposed in the assembly recessed from the outer surface. Liquid droplets adhered to the outer surface in this region tend to migrate to a distant location having a higher radius of curvature. The main body has low thermal conductivity. The filler has a relatively higher thermal conductivity and, in embodiments, fills an opening in the outer surface of the main body, providing a thermally-conductive pathway between the sensor and the surrounding environment via the opening. A probe having a plurality of such sensors, and methods of detecting the presence of liquid and phase transitions in a predetermined space are also disclosed
Hierarchical Chain Model of Spider Capture Silk Elasticity
Spider capture silk is a biomaterial with both high strength and high
elasticity, but the structural design principle underlying these remarkable
properties is still unknown. It was revealed recently by atomic force
microscopy that, an exponential force--extension relationship holds both for
capture silk mesostructures and for intact capture silk fibers [N. Becker et
al., Nature Materials 2, 278 (2003)]. In this Letter a simple hierarchical
chain model was proposed to understand and reproduce this striking observation.
In the hierarchical chain model, a polymer is composed of many structural
motifs which organize into structural modules and supra-modules in a
hierarchical manner. Each module in this hierarchy has its own characteristic
force. The repetitive patterns in the amino acid sequence of the major
flagelliform protein of spider capture silk is in support of this model.Comment: 4 pages, 3 figures. Will be formally published in PR
Valorizing Sewage Sludge: Using Nature-Inspired Architecture to Overcome Intrinsic Weaknesses of Waste-Based Materials
Sewage sludge, a biosolid product of wastewater processing, is an
often-overlooked source of rich organic waste. Hydrothermal processing (HTP),
which uses heat and pressure to convert biomass into various solid, liquid, and
gaseous products, has shown promise in converting sewage sludge into new
materials with potential application in biofuels, asphalt binders, and
bioplastics. In this study we focus on hydrochar, the carbonaceous HTP solid
phase, and investigate its use as a bio-based filler in additive manufacturing
technologies. We explore the impact of HTP and subsequent thermal activation on
chemical and structural properties of sewage sludge and discuss the role of
atypical metallic and metalloid dopants in organic material processing. In
additive manufacturing composites, although the addition of hydrochar generally
decreases mechanical performance, we show that toughness and strain can be
recovered with hierarchical microstructures, much like biological materials
that achieve outstanding properties by architecting relatively weak building
blocks
Energy Storage in a Hamiltonian System in Partial Contact with a Heat Bath
To understand the mechanism allowing for the long-term storage of excess
energy in proteins, we study a Hamiltonian system consisting of several coupled
pendula in partial contact with a heat bath. It is found that energy storage is
possible when the motion of each pendulum switches between oscillatory
(vibrational) and rotational (phase-slip) modes. The storage time increases
almost exponentially to the square root of the injected energy. The relevance
of our mechanism to protein motors is discussed.Comment: 8 pages, 4 figures, to appear in J.Phys.Soc.Jp
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