1,261 research outputs found

    Thermodynamic and spectral properties of compressed Ce calculated by the merger of the local density approximation and dynamical mean field theory

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    We have calculated thermodynamic and spectral properties of Ce metal over a wide range of volume and temperature, including the effects of 4f electron correlations, by the merger of the local density approximation and dynamical mean field theory (DMFT). The DMFT equations are solved using the quantum Monte Carlo technique supplemented by the more approximate Hubbard I and Hartree Fock methods. At large volume we find Hubbard split spectra, the associated local moment, and an entropy consistent with degeneracy in the moment direction. On compression through the volume range of the observed gamma-alpha transition, an Abrikosov-Suhl resonance begins to grow rapidly in the 4f spectra at the Fermi level, a corresponding peak develops in the specific heat, and the entropy drops rapidly in the presence of a persistent, although somewhat reduced local moment. Our parameter-free spectra agree well with experiment at the alpha- and gamma-Ce volumes, and a region of negative curvature in the correlation energy leads to a shallowness in the low-temperature total energy over this volume range which is consistent with the gamma-alpha transition. As measured by the double occupancy, we find a noticeable decrease in correlation on compression across the transition; however, even at the smallest volumes considered, Ce remains strongly correlated with residual Hubbard bands to either side of a dominant Fermi-level structure. These characteristics are discussed in light of current theories for the volume collapse transition in Ce.Comment: 19 pages including 14 eps figure

    Cardiovascular Disease (CVD) Risk: Should We Target College Women?

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    Recent changes by the American Heart Association identify screening guidelines for CVD risk factors for those in their early twenties. Research on CVD has focused on adult populations 40 and over. If risk is identified at an earlier age, then preventative behaviors can be established to prevent the onset and prevalence of CVD. This study was conducted to identify college students’ awareness of early screening for and knowledge of CVD risk factors. Specifically, this study examined differences between men, women, and risk perception. Participants were 403 college students (male = 137; female = 266) between the ages of 18 and 25 that completed a questionnaire measuring knowledge and awareness of CVD risk. Results showed that college students had limited knowledge of CVD risk, specifically signs and symptoms. A majority of the participants identified awareness of early screening guidelines. Women rated cancer as the leading cause of death more frequently than men did. Further results indicated men continue to be more knowledgeable and aware of CVD risk. Practitioners and health educators need to use existing literature and new CVD guidelines in the United States to develop prevention programs and strategies. Prevention strategies and education should be specifically targeted toward young women and adults

    A Maximum Entropy Method of Obtaining Thermodynamic Properties from Quantum Monte Carlo Simulations

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    We describe a novel method to obtain thermodynamic properties of quantum systems using Baysian Inference -- Maximum Entropy techniques. The method is applicable to energy values sampled at a discrete set of temperatures from Quantum Monte Carlo Simulations. The internal energy and the specific heat of the system are easily obtained as are errorbars on these quantities. The entropy and the free energy are also obtainable. No assumptions as to the specific functional form of the energy are made. The use of a priori information, such as a sum rule on the entropy, is built into the method. As a non-trivial example of the method, we obtain the specific heat of the three-dimensional Periodic Anderson Model.Comment: 8 pages, 3 figure

    Informative Group Testing for Multiplex Assays

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    Infectious disease testing frequently takes advantage of two tools–group testing and multiplex assays–to make testing timely and cost effective. Until the work of Tebbs et al. (2013) and Hou et al. (2017), there was no research available to understand how best to apply these tools simultaneously. This recent work focused on applications where each individual is considered to be identical in terms of the probability of disease. However, risk-factor information, such as past behavior and presence of symptoms, is very often available on each individual to allow one to estimate individual-specific probabilities. The purpose of our paper is to propose the first group testing algorithms for multiplex assays that take advantage of individual risk-factor information as expressed by these probabilities. We show that our methods significantly reduce the number of tests required while preserving accuracy. Throughout this paper, we focus on applying our methods with the Aptima Combo 2 Assay that is used worldwide for chlamydia and gonorrhea screening
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