1,363 research outputs found

    Entropy density of spacetime from the zero point length

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    It is possible to obtain the gravitational field equations in a large class of theories from a thermodynamic variational principle which uses the gravitational heat density Sg\mathcal{S}_g associated with null surfaces. This heat density is related to the discreteness of spacetime at Planck scale, LP2=(Gℏ/c3)L_P^2 = (G\hbar / c^3), which assigns A⊥/LP2A_{\perp}/L_P^2 degrees of freedom to any area A⊥A_{\perp}. On the other hand, it is also known that the surface term KhK\sqrt{h} in the gravitational action principle correctly reproduces the heat density of the null surfaces. We provide a link between these ideas by obtaining Sg\mathcal{S}_g, used in emergent gravity paradigm, from the surface term in the action in Einstein's gravity. This is done using the notion of a nonlocal qmetric -- introduced recently [arXiv:1307.5618, arXiv:1405.4967] -- which allows us to study the effects of zero-point-length of spacetime at the transition scale between quantum and classical gravity. Computing KhK\sqrt{h} for the qmetric in the appropriate limit directly reproduces the entropy density Sg\mathcal{S}_g used in the emergent gravity paradigm.Comment: 8 pages; no figure

    Two Aspects of Black hole entropy in Lanczos-Lovelock models of gravity

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    We consider two specific approaches to evaluate the black hole entropy which are known to produce correct results in the case of Einstein's theory and generalize them to Lanczos-Lovelock models. In the first approach (which could be called extrinsic) we use a procedure motivated by earlier work by Pretorius, Vollick and Israel, and by Oppenheim, and evaluate the entropy of a configuration of densely packed gravitating shells on the verge of forming a black hole in Lanczos-Lovelock theories of gravity. We find that this matter entropy is not equal to (it is less than) Wald entropy, except in the case of Einstein theory, where they are equal. The matter entropy is proportional to the Wald entropy if we consider a specific m-th order Lanczos-Lovelock model, with the proportionality constant depending on the spacetime dimensions D and the order m of the Lanczos-Lovelock theory as (D-2m)/(D-2). Since the proportionality constant depends on m, the proportionality between matter entropy and Wald entropy breaks down when we consider a sum of Lanczos-Lovelock actions involving different m. In the second approach (which could be called intrinsic) we generalize a procedure, previously introduced by Padmanabhan in the context of GR, to study off-shell entropy of a class of metrics with horizon using a path integral method. We consider the Euclidean action of Lanczos-Lovelock models for a class of metrics off-shell and interpret it as a partition function. We show that in the case of spherically symmetric metrics, one can interpret the Euclidean action as the free energy and read off both the entropy and energy of a black hole spacetime. Surprisingly enough, this leads to exactly the Wald entropy and the energy of the spacetime in Lanczos-Lovelock models obtained by other methods. We comment on possible implications of the result.Comment: v1: 20 pages, no figures v2: added some discussion, to appear in Phys. Rev.

    Properties of High Strength Flowable Mortar Reinforced With Different Fibers

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    An experimental study was conducted on the high-strength flowable mortar (HSFM) reinforced by the different percentages of palm Fiber (0, 0.5& 1%), steel fiber (0, 0.5, 1.0& 2%), and the hybridization of these two fibers with 2% volumetric fractions.  Different tests have been done to determine some aspects namely the density, compressive strength, splitting tensile strength, static modulus of elasticity, flexural strength, toughness and ultrasonic pulse velocity.  The results show that the use of hybridization of steel fiber with palm fiber gives an unambiguous improvement in these properties and thus the optimum percentages for these two fibers have been taken into consideration. The use of low volume fraction of palm fiber in hybrid fiber mixes was found to be a promising concept in HSFM mixe

    Genetic and environmental risk factors for sexual distress and its association with female sexual dysfunction

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    A. Burri, Q. Rahman and T. Spector (2011). Genetic and environmental risk factors for sexual distress and its association with female sexual dysfunction. Psychological Medicine, 41, pp 2435-2445. Copyright © Cambridge University Press 2011. http://dx.doi.org/10.1017/S003329171100049

    Towards automated and integrated data collection - standardising workflow processes for the offshore wind industry

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    Conference paper abstractA significant amount of operation and maintenance (O&M) data are being generated daily from offshore wind farms. Most of them are coming from a variety of monitoring systems, maintenance reports and environmental sources. The challenge with having a wide diversity of data in inhomogeneous types and formats, is the considerable human effort involved in the initial extraction, transformation and loading (ETL) stages for these data to be processed and analysed. Although several commercial solutions are available, aiming to improve data management to support O&M decision making, the initial ETL phase is still a work-intensive process. One of the main reasons is that the organization and structure of the data flow does not allow easy access to the data. Due to the rapid growth of the offshore wind industry, there is a need to automate and integrate some of these processes in order to reduce the human effort and the associated costs. The aim is to facilitate a responsive, data driven decision making for O&M. This paper and presentation show the results of re-structuring and automation of the daily maintenance procedures that achieve a more efficient data analysis. These early results also indicate that less man-hours and a smaller number of people need to work on data collection. The framework and the steps followed will be of interest to offshore wind farm developers and operators to automate their data collection workflow
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