Geometric Discord Of the Jaynes-Cummings Model: Pure Dephasing Regime

In this paper, the dynamical behaviour of the geometric discord of a system consisting of a two-level atom interacting with a quantised radiation field described by the Jaynes-Cummings model has been studied. The evolution of the system has been considered in the pure dephasing regime when the field is initially in a general pure state and the atom is initially in a mixed state. Dynamics of the geometric discord, as a measure of non-classical correlation, has been compared with the dynamics of negativity, as a measure of quantum entanglement. In particular, the influence of different parameters of system such as detuning and mixedness of the initial atomic state on the dynamics of geometric discord has been evaluated for when the field is initially in coherent and number states. It is shown that for asymptotically large times, the steady state geometric discord of the system presents a non-zero optimum value at some intermediate value of detuning.Comment: 21 pages, 7 figures. appears in Eur. Phys. J. D 201

Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets

Amid the increasing interest in the deployment of Distributed Energy Resources (DERs), the Virtual Power Plant (VPP) has emerged as a pivotal tool for aggregating diverse DERs and facilitating their participation in wholesale energy markets. These VPP deployments have been fueled by the Federal Energy Regulatory Commission's Order 2222, which makes DERs and VPPs competitive across market segments. However, the diversity and decentralized nature of DERs present significant challenges to the scalable coordination of VPP assets. To address efficiency and speed bottlenecks, this paper presents a novel machine learning-assisted distributed optimization to coordinate VPP assets. Our method, named LOOP-MAC(Learning to Optimize the Optimization Process for Multi-agent Coordination), adopts a multi-agent coordination perspective where each VPP agent manages multiple DERs and utilizes neural network approximators to expedite the solution search. The LOOP-MAC method employs a gauge map to guarantee strict compliance with local constraints, effectively reducing the need for additional post-processing steps. Our results highlight the advantages of LOOP-MAC, showcasing accelerated solution times per iteration and significantly reduced convergence times. The LOOP-MAC method outperforms conventional centralized and distributed optimization methods in optimization tasks that require repetitive and sequential execution

Non-identity and parodoxicality in Angela Carter's The Bloody Chamber

Angela Carter (1940-92) in her famous short story, The Bloody Chamber, depicts a protagonist whose identity seems to be a predetermined sign in a signifying loop from which she can make no escape. In the first part of our paper, we attempt to show how The protagonist's ensuing psychological tension is aggravated by the conflict which she feels between her ideal ego (as an innocent girl) and her ego-ideal (a rare talent for corruption) and which leads her to unrelenting introspection and interior dialogue with her existential states. Such interior dialogue provides the protagonist with an existential ground on which she empties all her life events of their presence by signifying (or verbalizing) them through Derridean Differance. Therefore, her interior dialogue results in non-identity in her subjectivization both in the realm of signs and of (social) events. Then, we focus on the protaganist's paradoxical urges spontaneously outflowed from within which, by resisting symbolization, provide her with the possibility of becoming what she thinks she has never been and allow for her moments of self-determination. Finally, we illustrate how such psychological odyssey takes shape in the Gothic setting which arouses, in Lacanian terminology, pre-symbolic tendencies and which involves the coincidence of Gothic horror with the horrors of social reality

The Impact of Non-Audit Services on Earning Response Coefficient

The present study aims to investigate the impact of non-audit services on earnings response coefficient. It is a library and analytical-scientific research and is based on panel data analysis. In this study, the financial data of 74 companies accepted in Tehran Stock Exchange during the period 2011-2016 have been reviewed.The results demonstrate that non-audit services have a significant negative relationship with earnings response coefficient.Although non-audit services will have benefits such as increased financial statements understandability, auditors’ knowledge-sharing, better relationships between managers and auditors and reduced agency costs, this type of services threatens auditor independence and subsequently, earnings quality will be affected. Thus,the findings of the present study confirm the view thatby providing non-audit services, auditor independence is affected, resulting in a negative reaction to earnings.