1,308 research outputs found

    Vortices in Superfluid Fermi Gases through the BEC to BCS Crossover

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    We have analyzed a single vortex at T=0 in a 3D superfluid atomic Fermi gas across a Feshbach resonance. On the BCS side, the order parameter varies on two scales: kF1k_{F}^{-1} and the coherence length ξ\xi, while only variation on the scale of ξ\xi is seen away from the BCS limit. The circulating current has a peak value jmaxj_{max} which is a non-monotonic function of 1/kFas1/k_F a_s implying a maximum critical velocity vF\sim v_F at unitarity. The number of fermionic bound states in the core decreases as we move from the BCS to BEC regime. Remarkably, a bound state branch persists even on the BEC side reflecting the composite nature of bosonic molecules.Comment: 4 Pages, 4 Figure

    Assessing mental health literacy: What medical sciences students' know about depression

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    Background: Mental health literacy is an individual's knowledge and belief about mental disorders which aid their recognition, management and prevention. The aim of this study was to investigate mental health literacy among students of Tehran University of Medical Sciences. Methods: In this cross-sectional study, data were collected by the anonymous self-administered questionnaires and finally 324 students participated in the study. Random cluster sampling was used. Questions were in different areas of the mental health literacy for depression include recognition of disorder, intended actions to seek help and perceived barriers, beliefs about interventions, prevention, stigmatization and impact of media. T-test was used for statistical analysis. Results: The mean (±SD) age was 23.5±2.8. The participants were 188 (58.1) females and 136 (41.9) males. In response to the recognition of the disorder 115 (35.6) students mentioned the correct answer. In help-seeking area, 208 (64.3) gave positive answer. The majority of affected students sought for help from their friends and parents. Stigma was the greatest barrier for seeking help. Television and Internet were the most common sources of information related to mental health. Conclusion: Generally students' mental health literacy on depression was low in some areas. Appropriate educational programs specifically for reducing mental disorders stigma seems necessary. Organizing networks of co-helper students for mental health could be considered

    Viscosity of strongly interacting quantum fluids: spectral functions and sum rules

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    The viscosity of strongly interacting systems is a topic of great interest in diverse fields. We focus here on the bulk and shear viscosities of \emph{non-relativistic} quantum fluids, with particular emphasis on strongly interacting ultracold Fermi gases. We use Kubo formulas for the bulk and shear viscosity spectral functions, ζ(ω)\zeta(\omega) and η(ω)\eta(\omega) respectively, to derive exact, non-perturbative results. Our results include: a microscopic connection between the shear viscosity η\eta and the normal fluid density ρn\rho_n; sum rules for ζ(ω)\zeta(\omega) and η(ω)\eta(\omega) and their evolution through the BCS-BEC crossover; universal high-frequency tails for η(ω)\eta(\omega) and the dynamic structure factor S(q,ω)S({\bf q}, \omega). We use our sum rules to show that, at unitarity, ζ(ω)\zeta(\omega) is identically zero and thus relate η(ω)\eta(\omega) to density-density correlations. We predict that frequency-dependent shear viscosity η(ω)\eta(\omega) of the unitary Fermi gas can be experimentally measured using Bragg spectroscopy.Comment: Published versio

    Nodal Quasiparticle Dispersion in Strongly Correlated d-wave Superconductors

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    We analyze the effects of a momentum-dependent self-energy on the photoemission momentum distribution curve (MDC) lineshape, dispersion and linewidth. We illustrate this general analysis by a detailed examination of nodal quasiparticles in high Tc cuprates. We use variational results for the nodal quasiparticle weight Z (which varies rapidly with hole doping x) and the low energy Fermi velocity vFlowv_F^{low} (which is independent of x), to show that the high energy MDC dispersion vhigh=vFlow/Zv_{high} = v_F^{low}/Z, so that it is much larger than the bare (band structure) velocity and also increases strongly with underdoping. We also present arguments for why the low energy Fermi velocity and the high energy dispersion are independent of the bare band structure at small x. All of these results are in good agreement with earlier and recent photoemission data [Zhou et al, Nature 423, 398 (2003)].Comment: 4 pages, 3 eps fig

    Deviations from Fermi-liquid behavior above TcT_c in 2D short coherence length superconductors

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    We show that there are qualitative differences between the temperature dependence of the spin and charge correlations in the normal state of the 2D attractive Hubbard model using quantum Monte Carlo simulations. The one-particle density of states shows a pseudogap above \tc with a depleted N(0)N(0) with decreasing TT. The susceptibility \cs and the low frequency spin spectral weight track N(0)N(0), which explains the spin-gap scaling: 1/T_1T \sim \cs(T). However the charge channel is dominated by collective behavior and the compressibility dn/dμdn/d\mu is TT-independent. This anomalous ``spin-charge separation'' is shown to exist even at intermediate U|U| where the momentum distribution n(\bk) gives evidence for degenerate Fermi system.Comment: 4 pages (twocolumn format), 5 Postscript figure

    BCS - BEC crossover at T=0: A Dynamical Mean Field Theory Approach

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    We study the T=0 crossover from the BCS superconductivity to Bose-Einstein condensation in the attractive Hubbard Model within dynamical mean field theory(DMFT) in order to examine the validity of Hartree-Fock-Bogoliubov (HFB) mean field theory, usually used to describe this crossover, and to explore physics beyond it. Quantum fluctuations are incorporated using iterated perturbation theory as the DMFT impurity solver. We find that these fluctuations lead to large quantitative effects in the intermediate coupling regime leading to a reduction of both the superconducting order parameter and the energy gap relative to the HFB results. A qualitative change is found in the single-electron spectral function, which now shows incoherent spectral weight for energies larger than three times the gap, in addition to the usual Bogoliubov quasiparticle peaks.Comment: 11 pages,12 figures, Published versio

    Can one determine the underlying Fermi surface in the superconducting state of strongly correlated superconductors?

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    The question of determining the underlying Fermi surface (FS) that is gapped by superconductivity (SC) is of central importance in strongly correlated systems, particularly in view of angle-resolved photoemission experiments. Here we explore various definitions of the FS in the superconducting state using the zero-energy Green's function, the excitation spectrum and the momentum distribution. We examine (a) d-wave SC in high Tc cuprates, and (b) the s-wave superfluid in the BCS-BEC crossover. In each case we show that the various definitions agree, to a large extent, but all of them violate the Luttinger count and do not enclose the total electron density. We discuss the important role of chemical potential renormalization and incoherent spectral weight in this violation.Comment: 4 pages, 4 figures, version 3, Added new figures, detailed discussion of result

    Epithelial/mesenchymal plasticity: how have quantitative mathematical models helped improve our understanding?

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    Phenotypic plasticity, the ability of cells to reversibly alter their phenotypes in response to signals, presents a significant clinical challenge to treating solid tumors. Tumor cells utilize phenotypic plasticity to evade therapies, metastasize, and colonize distant organs. As a result, phenotypic plasticity can accelerate tumor progression. A well-studied example of phenotypic plasticity is the bidirectional conversions among epithelial, mesenchymal, and hybrid epithelial/mesenchymal (E/M) phenotype(s). These conversions can alter a repertoire of cellular traits associated with multiple hallmarks of cancer, such as metabolism, immune evasion, invasion, and metastasis. To tackle the complexity and heterogeneity of these transitions, mathematical models have been developed that seek to capture the experimentally verified molecular mechanisms and act as ‘hypothesis-generating machines’. Here, we discuss how these quantitative mathematical models have helped us explain existing experimental data, guided further experiments, and provided an improved conceptual framework for understanding how multiple intracellular and extracellular signals can drive E/M plasticity at both the single-cell and population levels. We also discuss the implications of this plasticity in driving multiple aggressive facets of tumor progression
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