3,488 research outputs found
Separability for lattice systems at high temperature
Equilibrium states of infinite extended lattice systems at high temperature
are studied with respect to their entanglement. Two notions of separability are
offered. They coincide for finite systems but differ for infinitely extended
ones. It is shown that for lattice systems with localized interaction for high
enough temperature there exists no local entanglement. Even more quasifree
states at high temperature are also not distillably entangled for all local
regions of arbitrary size. For continuous systems entanglement survives for all
temperatures. In mean field theories it is possible, that local regions are not
entangled but the entanglement is hidden in the fluctuation algebra
Risk -sensitivity and predictors of choice preference: Parenting addiction and dispositional variables
Real-space electronic-structure calculations with full-potential all-electron precision for transition-metals
We have developed an efficient computational scheme utilizing the real-space
finite-difference formalism and the projector augmented-wave (PAW) method to
perform precise first-principles electronic-structure simulations based on the
density functional theory for systems containing transition metals with a
modest computational effort. By combining the advantages of the time-saving
double-grid technique and the Fourier filtering procedure for the projectors of
pseudopotentials, we can overcome the egg box effect in the computations even
for first-row elements and transition metals, which is a problem of the
real-space finite-difference formalism. In order to demonstrate the potential
power in terms of precision and applicability of the present scheme, we have
carried out simulations to examine several bulk properties and structural
energy differences between different bulk phases of transition metals, and have
obtained excellent agreement with the results of other precise first-principles
methods such as a plane wave based PAW method and an all-electron
full-potential linearized augmented plane wave (FLAPW) method.Comment: 29 Page
Determination of volatiles in volcanic rocks and minerals with a Directly Coupled Evolved Gas Analyzing System (DEGAS) -Part I: Interpretation of degassing profiles (DEGAS-profiles) of minerals and rocks on the basis of melting experiments
Volatile components in magma strongly influence many physical properties of melts and minerals. The temperature
resolved degassing analysis of volcanic crystalline and vitreous rocks gives detailed information about volatile compounds
in the melt. Aspecial high-temperature mass-spectrometry device in combination with a thermo-balance allows
a quantitative determination of different volatile species. It enables a differentiation between the primary gas
content in the magma and the gas released from decomposition of secondary alteration products. The gas release
profiles give the following indications: i) during the littoral explosions of Pahoehoe lava the content of volatiles is
not changed by interaction with air or sea water; ii) the degassing profiles of vitreous black sand verify the primary
content of volatiles in the erupted melt, only CO2 was detected; iii) the oxygen release profile gives significant indications
for oxygen undersaturation of the erupted magma; iv) remelting of black sand in air at 1450°C for 0.45 h
causes an oxygen saturation of the basaltic melt; v) remelting of black sand in argon atmosphere confirms the oxygen
undersaturation of the melt; vi) remelting of black sand-black shale mixtures affects a significant change in the
degassing profiles, especially in CO2-release. With the first investigations we can demonstrate that gas release
curves of volcanic rocks are qualified for a) detection of the primary gas content of erupted magma; b) detection of
alteration processes of the igneous glass; c) detection of contamination of the magma with adjacent rocks
Deep Burst Denoising
Noise is an inherent issue of low-light image capture, one which is
exacerbated on mobile devices due to their narrow apertures and small sensors.
One strategy for mitigating noise in a low-light situation is to increase the
shutter time of the camera, thus allowing each photosite to integrate more
light and decrease noise variance. However, there are two downsides of long
exposures: (a) bright regions can exceed the sensor range, and (b) camera and
scene motion will result in blurred images. Another way of gathering more light
is to capture multiple short (thus noisy) frames in a "burst" and intelligently
integrate the content, thus avoiding the above downsides. In this paper, we use
the burst-capture strategy and implement the intelligent integration via a
recurrent fully convolutional deep neural net (CNN). We build our novel,
multiframe architecture to be a simple addition to any single frame denoising
model, and design to handle an arbitrary number of noisy input frames. We show
that it achieves state of the art denoising results on our burst dataset,
improving on the best published multi-frame techniques, such as VBM4D and
FlexISP. Finally, we explore other applications of image enhancement by
integrating content from multiple frames and demonstrate that our DNN
architecture generalizes well to image super-resolution
A prior-form distorted-wave born approximation analysis of the elastic breakup of 156 MeV ⁶Li projectiles
Resources for and barriers to effective diabetes care management - experiences and perspectives of people with type 2 diabetes
Aims: To identify barriers and resources of effective diabetes care management from the perspectives of patients with diabetes. Background: The current health care situation of patients with diabetes indicates that the German health care system is not sufficiently prepared for the increasing incidence rate. Methods: Qualitative design reflecting symbolic interactionism as a methodological background. Problem-centered interviews were used for data collection. A qualitative content analysis was applied for data analysis. Results: Findings suggest a need for individual- and resource-oriented concepts of care in home settings. Participants rate exercise, professional and social support as well as self-efficacy as important resources in diabetes management. Barriers such as lacking acceptance of the disease, problems in adjustment to a new diet as well as utilization of diabetes education in the daily routine, cognitive impairment and impaired perception of physical changes, such as neuropathy, were identified. Conclusions: Prevention-orientated counseling and education concepts in diabetes management should systematically integrate the resources of patients with diabetes and tackle the barriers they perceive in order to support them in their specific care needs
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