Nonclassicality Criteria from Phase-Space Representations and Information-Theoretical Constraints Are Maximally Inequivalent

We consider two celebrated criteria for defining the nonclassicality of bipartite bosonic quantum systems, the first stemming from information theoretic concepts and the second from physical constraints on the quantum phase space. Consequently, two sets of allegedly classical states are singled out: (i) the set C composed of the so-called classical-classical (CC) states—separable states that are locally distinguishable and do not possess quantum discord; (ii) the set P of states endowed with a positive P representation (P-classical states)—mixtures of Glauber coherent states that, e.g., fail to show negativity of their Wigner function. By showing that C and P are almost disjoint, we prove that the two defining criteria are maximally inequivalent. Thus, the notions of classicality that they put forward are radically different. In particular, generic CC states show quantumness in their P representation, and vice versa, almost all P-classical states have positive quantum discord and, hence, are not CC. This inequivalence is further elucidated considering different applications of P-classical and CC states. Our results suggest that there are other quantum correlations in nature than those revealed by entanglement and quantum discord.

Is everyone Irish on St Patrick's Day? Divergent expectations and experiences of collective self-objectification at a multicultural parade

We examine experiences of collective self-objectification (CSO) (or its failure) among participants in a ‘multicultural’ St Patrick's Day parade. A two-stage interview study was carried out in which 10 parade participants (five each from ethnic majority and minority groups) were interviewed before and after the event. In pre-event interviews, all participants understood the parade as an opportunity to enact social identities, but differed in the category definitions and relations they saw as relevant. Members of the white Irish majority saw the event as being primarily about representing Ireland in a positive, progressive, light, whereas members of minority groups saw it as an opportunity to have their groups' identities and belonging in Ireland recognized by others. Post-event interviews revealed that, for the former group, the event succeeded in giving expression to their relevant category definitions. The latter group, on the other hand, cited features of the event such as inauthentic costume design and a segregated structure as reasons for why the event did not provide the group recognition they sought. The accounts revealed a variety of empowering and disempowering experiences corresponding to the extent of enactment. We consider the implications in terms of CSO, the performative nature of dual identities, as well as the notion of multicultural recognition.

Collective Participation Impacts Social Identity::A Longitudinal Study with Control Data

How does participation in collective activity affect our social identifications and behavior? We investigate this question in a longitudinal questionnaire study conducted at one of the world’s largest collective events – the Magh Mela (a month-long Hindu religious festival in north India). Data gathered from pilgrims and comparable others who did not attend the event show that one month after this mass gathering was over, those who had participated (but not controls) exhibited a heightened social identification as Hindu and increased levels of religious activity (e.g., performing prayer rituals). Additional data gathered from the pilgrim respondents during the festival show that the pilgrims’ perceptions of sharing a common identity with other pilgrims, and of being able to enact their social identity in this event, predicted these outcomes.

EEG decoding of semantic category reveals distributed representations for single concepts

Achieving a clearer picture of categorial distinctions in the brain is essential for our understanding of the conceptual lexicon, but much more fine-grained investigations are required in order for this evidence to contribute to lexical research. Here we present a collection of advanced data-mining techniques that allows the category of individual concepts to be decoded from single trials of EEG data. Neural activity was recorded while participants silently named images of mammals and tools, and category could be detected in single trials with an accuracy well above chance, both when considering data from single participants, and when group-training across participants. By aggregating across all trials, single concepts could be correctly assigned to their category with an accuracy of 98%. The pattern of classifications made by the algorithm confirmed that the neural patterns identified are due to conceptual category, and not any of a series of processing-related confounds. The time intervals, frequency bands and scalp locations that proved most informative for prediction permit physiological interpretation: the widespread activation shortly after appearance of the stimulus (from 100. ms) is consistent both with accounts of multi-pass processing, and distributed representations of categories. These methods provide an alternative to fMRI for fine-grained, large-scale investigations of the conceptual lexicon. © 2010 Elsevier Inc.

Managing Equivalent Representations of Design and Analysis Models

There is a requirement for better integration between design and analysis tools, which is difficult due to their different objectives, separate data representations and workflows. Currently, substantial effort is required to produce a suitable analysis model from design geometry. Robust links are required between these different representations to enable analysis attributes to be transferred between different design and analysis packages for models at various levels of fidelity.

This paper describes a novel approach for integrating design and analysis models by identifying and managing the relationships between the different representations. Three key technologies, Cellular Modeling, Virtual Topology and Equivalencing, have been employed to achieve effective simulation model management. These technologies and their implementation are discussed in detail. Prototype automated tools are introduced demonstrating how multiple simulation models can be linked and maintained to facilitate seamless integration throughout the design cycle.

Participatory Action Research with and within community activist groups: capturing the collective experience of Ireland's Community and Voluntary Pillar

The inclusion of community activists in policy planning is increasingly recognized at the highest international level. This article shows how the use of Participatory Action Research (PAR) can present a deeper and more holistic picture of the experiences of Civil Society Organizations (CSOs) in shaping national-level social policy. By utilizing action-based research, the Community and Voluntary Pillar (CVP) of Ireland’s system of social partnership is shown to be an important agent in deliberating national bargaining outcomes (known as the Towards 2016 national agreement). The key contribution of this research is the reflective methodological considerations in terms of PAR design, execution and participant integration in the research process as a way to enrich and develop a deeper and more informed community of practice.

Bogeymen, lunatics and fanatics: collective actions and the private enforcement of European competition law

The European desire to ensure that bearers of EU rights are adequately compensated for any infringement of these rights, particularly in cases where the harm is widely diffused, and perhaps not even noticed by those affected by it, collides with another desire: to avoid the perceived excesses of an American-style system of class actions. The excesses of these American class actions are in European discourse presented as a sort of bogeyman, which is a source of irrational fear, often presented by parental or other authority figures. But when looked at critically, the bogeyman disappears. In this paper, I examine the European (and UK) proposals for collective action. I compare them to the American regime. The flaws and purported excesses of the American regime, I argue, are exaggerated. A close, objective examination of the American regime shows this. I conclude that it is not the mythical bogeyman of a US class action that is the barrier to effective collective redress; rather, the barriers to effective, wide-ranging group actions lie within European legal culture and traditions, particularly those mandating individual control over litigation.

Collective atomic recoil lasing including friction and diffusion effects

We extend the collective atomic recoil lasing (CARL) model including the effects of friction and diffusion forces acting on the atoms due to the presence of optical molasses fields. The results from this model are consistent with those from a recent experiment by Kruse [ Phys. Rev. Lett. 91, 183601 (2003) ]. In particular, we obtain a threshold condition above which collective backscattering occurs. Using a nonlinear analysis we show that the backscattered field and the bunching evolve to a steady state, in contrast to the nonstationary behavior of the standard CARL model. For a proper choice of the parameters, this steady state can be superfluorescent.

Representations of specific acoustic patterns in the auditory cortex and hippocampus

Previous behavioural studies have shown that repeated presentation of a randomly chosen acoustic pattern leads to the unsupervised learning of some of its specific acoustic features. The objective of our study was to determine the neural substrate for the representation of freshly learnt acoustic patterns. Subjects first performed a behavioural task that resulted in the incidental learning of three different noise-like acoustic patterns. During subsequent high-resolution functional magnetic resonance imaging scanning, subjects were then exposed again to these three learnt patterns and to others that had not been learned. Multi-voxel pattern analysis was used to test if the learnt acoustic patterns could be 'decoded' from the patterns of activity in the auditory cortex and medial temporal lobe. We found that activity in planum temporale and the hippocampus reliably distinguished between the learnt acoustic patterns. Our results demonstrate that these structures are involved in the neural representation of specific acoustic patterns after they have been learnt.