125 research outputs found
Effects of Early Acoustic Hearing on Speech Perception and Language for Pediatric Cochlear Implant Recipients
Human X-box-binding protein 1 is required for the transcription of a subset of human class II major histocompatibility genes and forms a heterodimer with c-fos.
Metric tensor as the dynamical variable for variable cell-shape molecular dynamics
We propose a new variable cell-shape molecular dynamics algorithm where the
dynamical variables associated with the cell are the six independent dot
products between the vectors defining the cell instead of the nine cartesian
components of those vectors. Our choice of the metric tensor as the dynamical
variable automatically eliminates the cell orientation from the dynamics.
Furthermore, choosing for the cell kinetic energy a simple scalar that is
quadratic in the time derivatives of the metric tensor, makes the dynamics
invariant with respect to the choice of the simulation cell edges. Choosing the
densitary character of that scalar allows us to have a dynamics that obeys the
virial theorem. We derive the equations of motion for the two conditions of
constant external pressure and constant thermodynamic tension. We also show
that using the metric as variable is convenient for structural optimization
under those two conditions. We use simulations for Ar with Lennard-Jones
parameters and for Si with forces and stresses calculated from first-principles
of density functional theory to illustrate the applications of the method.Comment: 10 pages + 6 figures, Latex, to be published in Physical Review
Real World Interpretations of Quantum Theory
I propose a new class of interpretations, {\it real world interpretations},
of the quantum theory of closed systems. These interpretations postulate a
preferred factorization of Hilbert space and preferred projective measurements
on one factor. They give a mathematical characterisation of the different
possible worlds arising in an evolving closed quantum system, in which each
possible world corresponds to a (generally mixed) evolving quantum state. In a
realistic model, the states corresponding to different worlds should be
expected to tend towards orthogonality as different possible quasiclassical
structures emerge or as measurement-like interactions produce different
classical outcomes. However, as the worlds have a precise mathematical
definition, real world interpretations need no definition of quasiclassicality,
measurement, or other concepts whose imprecision is problematic in other
interpretational approaches. It is natural to postulate that precisely one
world is chosen randomly, using the natural probability distribution, as the
world realised in Nature, and that this world's mathematical characterisation
is a complete description of reality.Comment: Minor revisions. To appear in Foundations of Physic
Muscular Torque Can Explain Biases in Haptic Length Perception: A Model Study on the Radial-Tangential Illusion
SNOC: a Monte-Carlo simulation package for high-z supernova observations
We present a Monte-Carlo package for simulation of high-redshift supernova
data, SNOC. Optical and near-infrared photons from supernovae are ray-traced
over cosmological distances from the simulated host galaxy to the observer at
Earth. The distances to the sources are calculated from user provided
cosmological parameters in a Friedmann-Lemaitre universe, allowing for
arbitrary forms of ``dark energy''. The code takes into account gravitational
interactions (lensing) and extinction by dust, both in the host galaxy and in
the line-of-sight. The user can also choose to include exotic effects like a
hypothetical attenuation due to photon-axion oscillations. SNOC is primarily
useful for estimations of cosmological parameter uncertainties from studies of
apparent brightness of Type Ia supernovae vs redshift, with special emphasis on
potential systematic effects. It can also be used to compute standard
cosmological quantities like luminosity distance, lookback time and age of the
universe in any Friedmann-Lemaitre model with or without quintessence.Comment: 16 pages, 3 figure
A semi-nonparametric mixture model for selecting functionally consistent proteins
Background
High-throughput technologies have led to a new era of proteomics. Although protein microarray experiments are becoming more common place there are a variety of experimental and statistical issues that have yet to be addressed, and that will carry over to new high-throughput technologies unless they are investigated. One of the largest of these challenges is the selection of functionally consistent proteins. Results
We present a novel semi-nonparametric mixture model for classifying proteins as consistent or inconsistent while controlling the false discovery rate and the false non-discovery rate. The performance of the proposed approach is compared to current methods via simulation under a variety of experimental conditions. Conclusions
We provide a statistical method for selecting functionally consistent proteins in the context of protein microarray experiments, but the proposed semi-nonparametric mixture model method can certainly be generalized to solve other mixture data problems. The main advantage of this approach is that it provides the posterior probability of consistency for each protein
Analysis and Application of Potential Energy Smoothing and Search Methods for Global Optimization
'Universal' FitzGerald Contractions
The model of a universe with a preferred frame, which nevertheless shares the
main properties with traditional special and general relativity theories, is
considered. We adopt Mach's interpretation of inertia and show that the energy
balance equation, which includes the Machian energy of gravitational
interactions with the universe, can imitate standard relativistic formulas.Comment: The version accepted by Eur. Phys. J.
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