755 research outputs found

    Efficiency at optimal work from finite reservoirs: a probabilistic perspective

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    We revisit the classic thermodynamic problem of maximum work extraction from two arbitrary sized hot and cold reservoirs, modelled as perfect gases. Assuming ignorance about the extent to which the process has advanced, which implies an ignorance about the final temperatures, we quantify the prior information about the process and assign a prior distribution to the unknown temperature(s). This requires that we also take into account the temperature values which are regarded to be unphysical in the standard theory, as they lead to a contradiction with the physical laws. Instead in our formulation, such values appear to be consistent with the given prior information and hence are included in the inference. We derive estimates of the efficiency at optimal work from the expected values of the final temperatures, and show that these values match with the exact expressions in the limit when any one of the reservoirs is very large compared to the other. For other relative sizes of the reservoirs, we suggest a weighting procedure over the estimates from two valid inference procedures, that generalizes the procedure suggested earlier in [J. Phys. A: Math. Theor. {\bf 46}, 365002 (2013)]. Thus a mean estimate for efficiency is obtained which agrees with the optimal performance to a high accuracy.Comment: 14 pages, 6 figure

    The dynamics of a strongly driven two component Bose-Einstein Condensate

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    We consider a two component Bose-Einstein condensate in two spatially localized modes of a double well potential, with periodic modulation of the tunnel coupling between the two modes. We treat the driven quantum field using a two mode expansion and define the quantum dynamics in terms of the Floquet Operator for the time periodic Hamiltonian of the system. It has been shown that the corresponding semiclassical mean-field dynamics can exhibit regions of regular and chaotic motion. We show here that the quantum dynamics can exhibit dynamical tunneling between regions of regular motion, centered on fixed points (resonances) of the semiclassical dynamics

    Inside the Loop: The Audio Functionality of Inside

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    The manner in which soundscapes evolve and change during gameplay can have many implications regarding player experience. INSIDE (Playdead in INSIDE. Released on Microsoft Windows, Playstation 4, Xbox One, Nintendo Switch and iOS, 2016) features a gameplay section in which rhythmic audio cues loop continuously both during gameplay and after player death. This paper uses this aspect of the soundtrack as a case study, examining the effects of looping sound effects and abstract musical cues on player immersion, ludic functionality, and episodic engagement. The concept of spectromorphology proposed by Smalley (Organised Sound 2(2):107–126, 1997) is used to analyse the way in which musical cues can retain ludic functionality and promote immersion in the absence of diegetic sound design. The “musical suture” (Kamp, in: Ludomusicology: approaches to video game music, Equinox, Sheffield, 2016) created by continuously looping audio during death and respawn is also examined with regards to immersing the player within an evolving soundscape

    Population Monte Carlo algorithms

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    We give a cross-disciplinary survey on ``population'' Monte Carlo algorithms. In these algorithms, a set of ``walkers'' or ``particles'' is used as a representation of a high-dimensional vector. The computation is carried out by a random walk and split/deletion of these objects. The algorithms are developed in various fields in physics and statistical sciences and called by lots of different terms -- ``quantum Monte Carlo'', ``transfer-matrix Monte Carlo'', ``Monte Carlo filter (particle filter)'',``sequential Monte Carlo'' and ``PERM'' etc. Here we discuss them in a coherent framework. We also touch on related algorithms -- genetic algorithms and annealed importance sampling.Comment: Title is changed (Population-based Monte Carlo -> Population Monte Carlo). A number of small but important corrections and additions. References are also added. Original Version is read at 2000 Workshop on Information-Based Induction Sciences (July 17-18, 2000, Syuzenji, Shizuoka, Japan). No figure

    Combinatorial quorum sensing allows bacteria to resolve their social and physical environment

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    Quorum sensing (QS) is a cell–cell communication system that controls gene expression in many bacterial species, mediated by diffusible signal molecules. Although the intracellular regulatory mechanisms of QS are often well-understood, the functional roles of QS remain controversial. In particular, the use of multiple signals by many bacterial species poses a serious challenge to current functional theories. Here, we address this challenge by showing that bacteria can use multiple QS signals to infer both their social (density) and physical (mass-transfer) environment. Analytical and evolutionary simulation models show that the detection of, and response to, complex social/physical contrasts requires multiple signals with distinct half-lives and combinatorial (nonadditive) responses to signal concentrations. We test these predictions using the opportunistic pathogen Pseudomonas aeruginosa and demonstrate significant differences in signal decay betweeallyn its two primary signal molecules, as well as diverse combinatorial responses to dual-signal inputs. QS is associated with the control of secreted factors, and we show that secretome genes are preferentially controlled by synergistic “AND-gate” responses to multiple signal inputs, ensuring the effective expression of secreted factors in high-density and low mass-transfer environments. Our results support a new functional hypothesis for the use of multiple signals and, more generally, show that bacteria are capable of combinatorial communication

    An advanced Bayesian model for the visual tracking of multiple interacting objects

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    Visual tracking of multiple objects is a key component of many visual-based systems. While there are reliable algorithms for tracking a single object in constrained scenarios, the object tracking is still a challenge in uncontrolled situations involving multiple interacting objects that have a complex dynamics. In this article, a novel Bayesian model for tracking multiple interacting objects in unrestricted situations is proposed. This is accomplished by means of an advanced object dynamic model that predicts possible interactive behaviors, which in turn depend on the inference of potential events of object occlusion. The proposed tracking model can also handle false and missing detections that are typical from visual object detectors operating in uncontrolled scenarios. On the other hand, a Rao-Blackwellization technique has been used to improve the accuracy of the estimated object trajectories, which is a fundamental aspect in the tracking of multiple objects due to its high dimensionality. Excellent results have been obtained using a publicly available database, proving the efficiency of the proposed approach

    Viunalikeviruses are environmentally common agents of horizontal gene transfer in pathogens and biocontrol bacteria.

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    Bacteriophages have been used as natural biocontrol and therapeutic agents, but also as biotechnological tools for bacterial engineering. We showed recently that the transducing bacteriophage ϕMAM1 is a ViI-like phage and a member of the new genus, 'Viunalikevirus'. Here, we show that four additional ViI-like phages and three new environmentally isolated viunalikeviruses, all infecting plant and human pathogens, are very efficient generalised transducers capable of transducing chromosomal markers at frequencies of up to 10(-4) transductants per plaque-forming unit. We also demonstrate the interstrain transduction of plasmids and chromosomal markers, including genes involved in anabolism, genes for virulence and genes encoding secondary metabolites involved in biocontrol. We propose that all viunalikeviruses are likely to perform efficient horizontal gene transfer. Viunalikeviruses therefore represent useful agents for functional genomics and bacterial engineering, and for chemical and synthetic biology studies, but could be viewed as inappropriate choices for phage therapy.This research was supported by the EU Marie-Curie Intra-European Fellowship for Career Development (FP7- PEOPLE-2011-IEF) grant number 298003.This is the version of record of the article "Viunalikeviruses are environmentally common agents of horizontal gene transfer in pathogens and biocontrol bacteria" published in ISME Journal on August 2104 under the NPG Open Access option. The published version of record is available on the journal website at http://dx.doi.org/10.1038/ismej.2014.15

    Media, racism and public health psychology

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    A growing literature has established that racism contributes to ill-health of migrants, minority group members and indigenous peoples. Racial discrimination has been shown to act at personal, institutional and societal levels, negatively affecting physical health as evidenced by heart disease and other stress related conditions and generally negating wellbeing, signalled by psychological and psychiatric disorders including depression. In our highly mediatized world, mass communications in diverse forms are decisive for people’s knowledge and understandings of the world and their place in it. From critical studies we know that the media consistently marginalize, denigrate and neglect particular ethnic and cultural groups. Where media do focus on such groups much of the reporting is negative and stereotyping. Achievements are ignored or minimized while representations of those groups as problems for and threats to the dominant are highlighted. In this paper we consider the particular case of media representations of the indigenous Maori of Aotearoa New Zealand. We review extant studies to argue that detailed and systematic study is necessary for the development of critical, local media scholarship. Such scholarship is necessary if the current media impact on Maori health and wellbeing is to be mitigated. While such considerations may not have been traditional concerns of health psychology we, following George Albee (2003), argue for them as affirming the need for critical public health psychology

    Normative Autonomy and Normative Co-ordination: Declarative Power, Representation, and Mandate

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    In this paper we provide a formal analysis of the idea of normative co-ordination. We argue that this idea is based on the assumption that agents can achieve flexible co-ordination by conferring normative positions to other agents. These positions include duties, permissions, and powers. In particular, we explain the idea of declarative power, which consists in the capacity of the power-holder of creating normative positions, involving other agents, simply by "proclaiming" such positions. In addition, we account also for the concepts of representation, namely the representative's capacity of acting in the name of his principal, and of mandate, which is the mandatee's duty to act as the mandator has requested. Finally, we show how the framework can be applied to represent the contract-net protocol. Some brief remarks on future research and applications conclude this contribution
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