408 research outputs found

    The enhanced Sanov theorem and propagation of chaos

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    We establish a Sanov type large deviation principle for an ensemble of interacting Brownian rough paths. As application a large deviations for the (kk-layer, enhanced) empirical measure of weakly interacting diffusions is obtained. This in turn implies a propagation of chaos result in rough path spaces and allows for a robust subsequent analysis of the particle system and its McKean-Vlasov type limit, as shown in two corollaries.Comment: 42 page

    MALE FEMINISTS: OXYMORON OR THE NEXT STEP? AN EXPLORATION OF ATTITUDES ASSOCIATED WITH MALE FEMINISTS

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    Although many studies have examined attitudes toward feminism and feminists, very few have been devoted to the study of attitudes toward male feminists. The existing body of literature has shown mixed results; with feminist men being rated more positively in some regards, and more negative in others. In the current study, Social Identity Theory (Tajfel & Turner, 2004) is used as a framework for understanding factors associated with attitudes towards male feminists, male feminist identification, and gender-self-esteem. Attitudes associated with male feminists were examined in a sample of 466 male and female undergraduate students from Indiana State University. Participants were randomly assigned to one of six vignette conditions in which the sexual orientation and feminist orientation of a male character were manipulated, resulting in two non-feminist (heterosexual-homosexual), two feminist (heterosexual-homosexual), and two anti-feminist (heterosexual-homosexual) conditions. After reading the vignette, the participants were asked to rate the character on the Warmth and Competence scales, which correspond to traditional female and male traits, respectively. Participants then completed several self-report measures, including the Collective Self-Esteem Scale (assesses self-esteem related to gender), Liberal Feminist Attitudes and Ideology Scale (assesses liberal feminist attitudes), and Demographic questionnaire. Participants also completed a measure of social desirability and a measure assessing current sexual orientation. Contrary to hypotheses, results indicated that regardless of sexual orientation, feminist and non-feminist men received the highest Warmth and Competence ratings, while anti-feminists received the lowest. Additionally, gender self-esteem was found to be a sufficient predictor of attitudes toward feminism in women, but not in men. Consistent with other research, participants who were more politically liberal had more positive attitudes toward feminism than those who were more conservative. Finally, higher levels of religiosity were correlated with less positive attitudes toward feminism in women, but not in men. This research will contribute to knowledge and awareness of what factors predict feminist identification in men and what factors affect attitudes toward male feminists. This current research suggests that male feminists are perceived to possess both masculine and feminine traits, regardless of their sexual orientation. Additionally, the results suggest that SIT can be a useful framework to begin to understand both attitudes toward feminism and feminist identification. Furthermore, although there are some similarities in the predictors of attitudes toward feminism and feminist identification in women, there is much less consensus on these predictors in men. Finally, greater awareness regarding the impact of rigid gender roles and stigma against feminism can lead to more effective interventions to reduce gender role strain and potentially harmful compensatory strategies

    Modified African Buffalo Optimization for Strategic Integration of Battery Energy Storage in Distribution Networks

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    This article presents a two-layer optimization scheme for simultaneous optimal allocation of wind turbines (WTs) and battery energy storage systems (BESSs) in power distribution networks. The prime objective of this formulation is to maximize the renewable hosting capacity of the system. For outer-layer, a new objective function is developed by combining multiple objectives such as annual energy loss in feeders, back-feed power, BESSs conversion losses, node voltage deviation, and demand fluctuations caused by renewables subject to various system security and reliability constraints. Furthermore, a modified variant of African buffalo optimization (ABO) introduced to overcome some of the limitations observed in its standard variant. The proposed modifications are first validated and then introduced for simultaneous optimal integration of multiple distributed energy resources in distribution systems. The proposed modified ABO is employed to determine the optimization variables of outer-layer. Whereas, a heuristic is proposed to solve the inner-layer optimization problem aiming to determine the optimal dispatch of BESSs suggested by outer-layer optimization. By considering the high investment and operating cost of BESSs, minimum energy storage capacity has been ensured during the planning stage. To present the efficacy of developed model, it is implemented on a 33-bus, benchmark test distribution system for various test cases. The comparative simulation results show that the proposed optimization model and modified ABO is very promising to improve the performance of active distribution systems

    Light interaction with extended quantum systems in dispersive media

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    We derive a light–matter interaction Hamiltonian to describe a quantum system embedded in a dispersive environment and coupled with the electromagnetic field. We include in this theory the spatial extension of the system, taken into account through its wavefunction. This enables us to overcome the divergence problem of the Green tensor propagator that arises from a point-like approximation of the quantum system. Thus the formalism can be applied to generalize the expressions for the spontaneous emission rate and the Lamb shift for a quantum system defined by a spatially extended dipole. In particular, these quantities can be modified by the asymmetry of the spatial structure of the atomic system as demonstrated in two test-bed examples

    Heterogeneous oxidation of saturated organic aerosols by hydroxyl radicals: uptake kinetics, condensed-phase products, and particle size change

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    International audienceThe kinetics and reaction mechanism for the heterogeneous oxidation of saturated organic aerosols by gas-phase OH radicals were investigated under NOx-free conditions. The reaction of 150 nm diameter Bis(2-ethylhexyl) sebacate (BES) particles with OH was studied as a proxy for chemical aging of atmospheric aerosols containing saturated organic matter. An aerosol reactor flow tube combined with an Aerodyne time-of-flight aerosol mass spectrometer (ToF-AMS) and scanning mobility particle sizer (SMPS) was used to study this system. Hydroxyl radicals were produced by 254 nm photolysis of O3 in the presence of water vapour. The kinetics of the heterogeneous oxidation of the BES particles was studied by monitoring the loss of a mass fragment of BES with the ToF-AMS as a function of OH exposure. We measured an initial OH uptake coefficient of ?0=1.3 (±0.4), confirming that this reaction is highly efficient. The density of BES particles increased by up to 20% of the original BES particle density at the highest OH exposure studied, consistent with the particle becoming more oxidized. Electrospray ionization mass spectrometry analysis showed that the major particle-phase reaction products are multifunctional carbonyls and alcohols with higher molecular weights than the starting material. Volatilization of oxidation products accounted for a maximum of 17% decrease of the particle volume at the highest OH exposure studied. Tropospheric organic aerosols will become more oxidized from heterogeneous photochemical oxidation, which may affect not only their physical and chemical properties, but also their hygroscopicity and cloud nucleation activity

    Deceptive Language by Innocent and Guilty Criminal Suspects: The Influence of Dominance, Question, and Guilt on Interview Responses

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    Matthew L. Jensen is an assistant professor in the Price College of Business and a researcher in the Center for Applied Social Research at the University of Oklahoma. His primary research interests are deception and credibility in online and face-to-face interaction. Recent publications have dealt with computer-aided deception detection and establishing credibility online.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

    Cross-Phase Modulation and Population Redistribution in a Periodic Tripod Medium

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    The cross-Kerr effect is studied for two pulses propagating in an atomic medium in a tripod configuration, dressed by a strong standing wave coupling beam. Nonlinear phase shifts for both transmitted and reflected beams are calculated taking into account the redistribution of the population among the atomic levels which allows one to study the phase shifts in a wide range of pulse detunings. The influence of other parameters, e.g., the intensity of the control field and the relaxation rates, on the cross-Kerr effect is also examined in detail.Comment: 6 figure

    Techno-Economic Feasibility Analysis of Grid-Connected Microgrid Design by Using a Modified Multi-Strategy Fusion Artificial Bee Colony Algorithm

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    The present work investigates the techno-economic solution that can address the problem of rural electrification. To maintain a continuous power supply to this village area, a grid-connected microgrid system was designed that consists of solar photovoltaic (SPV) and battery energy storage systems (BESS). The recently introduced multi-strategy fusion artificial bee colony (MFABC) algorithm was hybridized with the simulated annealing approach and is referred to as the MFABC+ algorithm. This was employed to determine the optimal sizing of different components comprising the integrated system as well as to maximize the techno-economic objectives. For validation, the simulation results obtained by the MFABC+ algorithm are compared with the results obtained using HOMER software, the particle swarm optimization algorithms and the original MFABC algorithm. It was revealed that the MFABC+ algorithm has a better convergence rate and the potential ability to provide compromising results in comparison to these existing optimization tools. It was also discovered through the comprehensive evaluation that the proposed system has the potential capability to meet the electricity demand of the village for 24 Ă— 7 at the lowest levelized cost of electricity

    The enhanced Sanov theorem and propagation of chaos

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    We establish a Sanov type large deviation principle for an ensemble of interacting Brownian rough paths. As application a large deviations for the (k-layer, enhanced) empirical measure of weakly interacting diffusions is obtained. This in turn implies a propagation of chaos result in a space of rough paths and allows for a robust analysis of the particle system and its McKean-Vlasov type limit, as shown in two corollaries
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