3,439 research outputs found
The nature of a self
The purpose of this thesis is to demonstrate just what kind of entity a self or person is (p. 1).KMBT_363Adobe Acrobat 9.54 Paper Capture Plug-i
A Systematic Review of Genotype–Phenotype Correlation across Cohorts Having Causal Mutations of Different Genes in ALS
Phase Transitions at Finite Temperature and Dimensional Reduction for Fermions and Bosons
In a recent Letter we discussed the fact that large- expansions and
computer simulations indicate that the universality class of the finite
temperature chiral symmetry restoration transition in the 3D Gross-Neveu model
is mean field theory. This was seen to be a counterexample to the standard
'sigma model' scenario which predicts the 2D Ising model universality class. In
this article we present more evidence, both theoretical and numerical, that
this result is correct. We develop a physical picture for our results and
discuss the width of the scaling region (Ginzburg criterion),
corrections, and differences between the dynamics of BCS superconductors and
Gross-Neveu models. Lattices as large as are simulated for
both the and cases and the numerical evidence for mean field
scaling is quite compelling. We point out that the amplitude ratio for the
model's susceptibility is a particulartly good observable for distinguishing
between the dimensional reduction and the mean field scenerios, because this
universal quantity differs by almost a factor of in the two cases. The
simulations are done close to the critical point in both the symmetric and
broken phases, and correlation lengths of order are measured. The critical
indices and also pick out mean field behavior. We trace
the breakdown of the standard scenario (dimensional reduction and universality)
to the composite character of the mesons in the model. We point out that our
results should be generic for theories with dynamical symmetry breaking, such
as Quantum Chromodynamics.
We also simulated the model on lattices to establish
that our methods give the results of dimensional reduction in purely bosonicComment: 47 pages, latex, 23 figures in one uuencoded fil
HCMV pUL135 remodels the actin cytoskeleton to impair immune recognition of infected cells
Immune evasion genes help human cytomegalovirus (HCMV) establish lifelong persistence. Without immune pressure, laboratory-adapted HCMV strains have undergone genetic alterations. Among these, the deletion of the UL/b’ domain is associated with loss of virulence. In a screen of UL/b’, we identified pUL135 as a protein responsible for the characteristic cytopathic effect of clinical HCMV strains that also protected from natural killer (NK) and T cell attack. pUL135 interacted directly with abl interactor 1 (ABI1) and ABI2 to recruit the WAVE2 regulatory complex to the plasma membrane, remodel the actin cytoskeleton and dramatically reduce the efficiency of immune synapse (IS) formation. An intimate association between F-actin filaments in target cells and the IS was dispelled by pUL135 expression. Thus, F-actin in target cells plays a critical role in synaptogenesis, and this can be exploited by pathogens to protect against cytotoxic immune effector cells. An independent interaction between pUL135 and talin disrupted cell contacts with the extracellular matrix
Out of equilibrium O (N) linear-sigma system - Construction of perturbation theory with gap- and Boltzmann-equations
We establish from first principles a perturbative framework that allows us to
compute reaction rates for processes taking place in nonequilibrium
linear-sigma systems in broken phase. The system of our concern is quasiuniform
system near equilibrium or nonequilibrium quasistationary system. We employ the
closed-time-path formalism and use the so-called gradient approximation. No
further approximation is introduced. In the course of construction of the
framework, we obtain the gap equation that determines the effective masses of
and of , and the generalized Boltzmann equation that describes
the evolution of the number-density functions of and of .Comment: 18 page
Thermal Dileptons from pi - rho Interactions in a Hot Pion Gas
A systematic study of low mass dilepton production from
interactions in a hot medium is presented. Applying finite temperature
perturbation theory the dilepton rate, respectively the virtual photon rate, is
computed up to order . For dilepton masses below the the
two-body reactions , , and
the decay process give significant contributions.
Non-equilibrium contributions to the thermal rate are estimated, including the
modification of the particle distribution function with non-zero pion chemical
potential. The comparison of the dilepton rate with the recent data measured in
nucleus-nucleus collisions at SPS energy by the CERES Collaboration is also
performed. It is shown that the additional thermal dileptons from
interactions can partially account for the access of the soft dilepton yield
seen experimentally.Comment: 21 pages LaTeX, 8 figs with epsfig.sty macro include
Transformation of spin information into large electrical signals via carbon nanotubes
Spin electronics (spintronics) exploits the magnetic nature of the electron,
and is commercially exploited in the spin valves of disc-drive read heads.
There is currently widespread interest in using industrially relevant
semiconductors in new types of spintronic devices based on the manipulation of
spins injected into a semiconducting channel between a spin-polarized source
and drain. However, the transformation of spin information into large
electrical signals is limited by spin relaxation such that the magnetoresistive
signals are below 1%. We overcome this long standing problem in spintronics by
demonstrating large magnetoresistance effects of 61% at 5 K in devices where
the non-magnetic channel is a multiwall carbon nanotube that spans a 1.5 micron
gap between epitaxial electrodes of the highly spin polarized manganite
La0.7Sr0.3MnO3. This improvement arises because the spin lifetime in nanotubes
is long due the small spin-orbit coupling of carbon, because the high nanotube
Fermi velocity permits the carrier dwell time to not significantly exceed this
spin lifetime, because the manganite remains highly spin polarized up to the
manganite-nanotube interface, and because the interfacial barrier is of an
appropriate height. We support these latter statements regarding the interface
using density functional theory calculations. The success of our experiments
with such chemically and geometrically different materials should inspire
adventure in materials selection for some future spintronicsComment: Content highly modified. New title, text, conclusions, figures and
references. New author include
The Oxford-Dartmouth Thirty Degree Survey II: Clustering of Bright Lyman Break Galaxies - Strong Luminosity Dependent Bias at z=4
We present measurements of the clustering properties of bright ()
z4 Lyman Break Galaxies (LBGs) selected from the Oxford-Dartmouth Thirty
Degree Survey (ODT). We describe techniques used to select and evaluate our
candidates and calculate the angular correlation function which we find best
fitted by a power law, with
(with in arcseconds), using a constrained slope of . Using
a redshift distribution consistent with photometric models, we deproject this
correlation function and find a comoving
h Mpc in a flat cosmology for
. This corresponds to a linear bias value of
(assuming ). These data show a
significantly larger and than previous studies at . We
interpret this as evidence that the brightest LBGs have a larger bias than
fainter ones, indicating a strong luminosity dependence for the measured bias
of an LBG sample. Comparing this against recent results in the literature at
fainter (sub-) limiting magnitudes, and with simple models describing
the relationship between LBGs and dark matter haloes, we discuss the
implications on the implied environments and nature of LBGs. It seems that the
brightest LBGs (in contrast with the majority sub- population), have
clustering properties, and host dark matter halo masses, that are consistent
with them being progenitors of the most massive galaxies today.Comment: Accepted for Publication in MNRAS. 15 Pages, 13 Figure
Bidirectional Psychoneuroimmune Interactions in the Early Postpartum Period Influence Risk of Postpartum Depression
More than 500,000 U.S. women develop postpartum depression (PPD) annually. Although psychosocial risks are known, the underlying biology remains unclear. Dysregulation of the immune inflammatory response and the hypothalamic–pituitary–adrenal (HPA) axis are associated with depression in other populations. While significant research on the contribution of these systems to the development of PPD has been conducted, results have been inconclusive. This is partly because few studies have focused on whether disruption in the bidirectional and dynamic interaction between the inflammatory response and the HPA axis together influence PPD. In this study, we tested the hypothesis that disruption in the inflammatory-HPA axis bidirectional relationship would increase the risk of PPD. Plasma pro- and anti-inflammatory cytokines were measured in women during the 3rd trimester of pregnancy and on Days 7 and 14, and Months 1, 2, 3, and 6 after childbirth. Saliva was collected 5 times the day preceding blood draws for determination of cortisol area under the curve (AUC) and depressive symptoms were measured using the Edinburgh Postpartum Depression Survey (EPDS). Of the 152 women who completed the EPDS, 18% were depressed according to EDPS criteria within the 6 months postpartum. Cortisol AUC was higher in symptomatic women on Day 14 (p = .017). To consider the combined effects of cytokines and cortisol on predicting symptoms of PPD, a multiple logistic regression model was developed that included predictors identified in bivariate analyses to have an effect on depressive symptoms. Results indicated that family history of depression, day 14 cortisol AUC, and the day 14 IL8/IL10 ratio were significant predictors of PPD symptoms. One unit increase each in the IL8/IL10 ratio and cortisol AUC resulted in 1.50 (p = 0.06) and 2.16 (p = 0.02) fold increases respectively in the development of PPD. Overall, this model correctly classified 84.2% of individuals in their respective groups. Findings suggest that variability in the complex interaction between the inflammatory response and the HPA axis influence the risk of PPD
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