Mixed Messages: American Correspondences in Visual and Verbal Practices

Mixed Messages presents and interrogates ten distinct moments from the arts of nineteenth, twentieth and twenty-first century America where visual and verbal forms blend and clash. Charting correspondences concerned with the expression and meaning of human experience, this volume moves beyond standard interdisciplinary theoretical approaches to consider the written and visual artwork in embodied, cognitive, and contextual terms.

Offering a genuinely interdisciplinary contribution to the intersecting fields of art history, avant-garde studies, word-image relations, and literary studies, Mixed Messages takes in architecture, notebooks, poetry, painting, conceptual art, contemporary art, comic books, photographs and installations, ending with a speculative conclusion on the role of the body in the experience of digital mixed media. Each of the ten case studies explores the juxtaposition of visual and verbal forms in a manner that moves away from treating verbal and visual symbols as operating in binary or oppositional systems, and towards a consideration of mixed media, multi-media and intermedia work as brought together in acts of creation, exhibition, reading, viewing, and immersion. The collection advances research into embodiment theory, affect, pragmatist aesthetics, as well as into the continuing legacy of romanticism and of dada, conceptual art and surrealism in an American context.

Rethinking Copyright: History, Theory, Language

This book provides the reader with a critical insight into the history and theory of copyright within contemporary legal and cultural discourse. It exposes as myth the orthodox history of the development of copyright law in eighteenth-century Britain and explores the way in which that myth became entrenched throughout the nineteenth and early twentieth centuries. To this historical analysis are added two theoretical approaches to copyright not otherwise found in mainstream contemporary texts. Rethinking Copyright introduces the reader to copyright through the prism of the public domain before considering how best to locate copyright within the parameters of traditional property discourse. Underpinning these various historical and theoretical strands, the book explores the constitutive power of legal writing and the place of rhetoric in framing and determining contemporary copyright policy and discourse.

Catalysing the Irish Energy Transition: Capacities and Challenges

The transition to a “low carbon, climate resilient and environmentally sustainable economy by the end of the 
year 2050” has been conceptualised as the “national transition objective” in the Irish Climate Action and Low Carbon Development Bill, passed in late 2015. This has raised a myriad of questions over how this can be operationalised and resourced and whether it can maintain political momentum. This paper assesses the utility of framings informed by the transitions (MLP) and technological innovation systems perspectives in contributing to transformative societal processes, by examining their application in an Irish case study on policy and technology. Through a qualitative exploration of the broader societal and policy context of the energy sector and a more detailed examination of the innovation systems of selected niche technologies (bioenergy and electric vehicles), the Irish case study sought to identify potential catalysts for a sustainability transition in the energy sector in Ireland: where these exist, how these are being built or enabled, and barriers to change. Following a discussion on the theoretical approaches used, a description will be given of how these were applied in the conducting of the research on transition in Ireland case study and the key findings which emerged. A critical reflection will then be made on the utility of these perspectives (as applied) to contribute to broader processes of societal transformation in Ireland.

The spatial turn: geographical approaches in the history of science

Over the past decade or so a number of historians of science and historical geographers, alert to the situated nature of scientific knowledge production and reception and to the migratory patterns of science on the move, have called for more explicit treatment of the geographies of past scientific knowledge. Closely linked to work in the sociology of scientific knowledge and science studies and connected with a heightened interest in spatiality evident across the humanities and social sciences this ‹spatial turn’ has informed a wide-ranging body of work on the history of science. This discussion essay revisits some of the theoretical props supporting this turn to space and provides a number of worked examples from the history of the life sciences that demonstrate the different ways in which the spaces of science have been comprehended.

Model selection approaches for non-linear system identification: a review

The identification of non-linear systems using only observed finite datasets has become a mature research area over the last two decades. A class of linear-in-the-parameter models with universal approximation capabilities have been intensively studied and widely used due to the availability of many linear-learning algorithms and their inherent convergence conditions. This article presents a systematic overview of basic research on model selection approaches for linear-in-the-parameter models. One of the fundamental problems in non-linear system identification is to find the minimal model with the best model generalisation performance from observational data only. The important concepts in achieving good model generalisation used in various non-linear system-identification algorithms are first reviewed, including Bayesian parameter regularisation and models selective criteria based on the cross validation and experimental design. A significant advance in machine learning has been the development of the support vector machine as a means for identifying kernel models based on the structural risk minimisation principle. The developments on the convex optimisation-based model construction algorithms including the support vector regression algorithms are outlined. Input selection algorithms and on-line system identification algorithms are also included in this review. Finally, some industrial applications of non-linear models are discussed.

Temporal Framing in the Conte: From Theoretical Debate to Oral Story Performance

This article explores ‘temporal framing’ in the oral conte. The starting point is a recent theoretical debate around the temporal structure of narrative discourse which has highlighted a fundamental tension between the approaches of two of the most influential current theoretical models, one of which is ‘framing theory’. The specific issue concerns the role of temporal adverbials appearing at the head of the clause (e.g. dates, relative temporal adverbials such as le lendemain) versus that of temporal ‘connectives’ such as puis, ensuite, etc. Through an analysis of a corpus of contes performed at the Conservatoire contemporain de Littérature Orale, I shall explore temporal framing in the light of this theoretical debate, and shall argue that, as with other types of narrative discourse, framing is primarily a structural rather than a temporal device in oral narrative. In a final section, I shall further argue, using Kintsch’s construction-integration model of narrative processing, that framing is fundamental to the cognitive processes involved in oral story performance.

Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments

The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow applications with security constraints in distributed data-intensive computing environments and present a novel security constraint model. Several meta-heuristic adaptations to the particle swarm optimization algorithm are introduced to deal with the formulation of efficient schedules. A variable neighborhood particle swarm optimization algorithm is compared with a multi-start particle swarm optimization and multi-start genetic algorithm. Experimental results illustrate that population based meta-heuristics approaches usually provide a good balance between global exploration and local exploitation and their feasibility and effectiveness for scheduling work-flow applications. © 2010 Elsevier Inc. All rights reserved.

Meta-Theoretical Paradigms Underpinning Risk in Child Welfare: Towards a Position of Methodological Pragmatism

The aim of this paper is to explore the ‘natural attitude’ underpinning risk practices in child welfare. This refers to various taken-for-granted approaches to risk that social workers and other human service professionals draw upon in their everyday practice. The approach proceeds by identifying and critically examining three key, meta-theoretical paradigms on risk which typically shape the natural attitude. They are labelled ‘objectivist’, ‘subjectivist’ and ‘critical’. The ontological, epistemological, axiological and methodological premises supporting each paradigm, and how they shape risk practices, are then reviewed leading to a composite, meta-theoretical position on risk termed ‘methodological pragmatism’. This position draws on the strengths of each paradigm and is formulated into ten propositions which consider how risk should be approached in child welfare. Within this corpus of thought salient themes are endorsed such as the need for method triangulation, an examination of ‘deep causality’, and the promotion of emancipatory perspectives. By critically reflecting on meta-theory, the paper contributes to the development of substantive theories of risk assessment and management in child welfare.

Computational approaches to finding and measuring inconsistency in arbitrary knowledge bases

There is extensive theoretical work on measures of inconsistency for arbitrary formulae in knowledge bases. Many of these are defined in terms of the set of minimal inconsistent subsets (MISes) of the base. However, few have been implemented or experimentally evaluated to support their viability, since computing all MISes is intractable in the worst case. Fortunately, recent work on a related problem of minimal unsatisfiable sets of clauses (MUSes) offers a viable solution in many cases. In this paper, we begin by drawing connections between MISes and MUSes through algorithms based on a MUS generalization approach and a new optimized MUS transformation approach to finding MISes. We implement these algorithms, along with a selection of existing measures for flat and stratified knowledge bases, in a tool called mimus. We then carry out an extensive experimental evaluation of mimus using randomly generated arbitrary knowledge bases. We conclude that these measures are viable for many large and complex random instances. Moreover, they represent a practical and intuitive tool for inconsistency handling.

Theoretical Investigation of NH3-SCR Processes over Zeolites: A Review

The selective catalytic reduction (SCR) of NOx compounds with NH3 is a hot topic in recent years. Among various catalysts, zeolites are proved to be efficient and promising for NH3-SCR, yet the whole processes and intrinsic mechanism are still not well understood due to the structural complexity of zeolites. With the improvement of theoretical chemistry techniques, quantum-chemical calculations are now capable of modeling the structure, acidity, adsorption, and ultimately reaction pathways over zeolites to some extent. In this review, a brief summary of relevant concepts of NH3-SCR is presented. Cluster approaches, embedded techniques, and periodic treatments are described as three main methods. Details of quantum-chemical investigations toward the key issues such as, the structure of active sites, the adsorption of small molecules, and the reaction mechanism of NH3-SCR over zeolites are discussed. Finally, a perspective for future theoretical research is given. 

Law's Ethical, Global and Theoretical Contexts: Essays in Honour of William Twining

Law's Ethical, Global and Theoretical Contexts examines William Twining's principal contributions to law and jurisprudence in the context of three issues which will receive significant scholarly attention over the coming decades. Part I explores human rights, including torture, the role of evidence in human rights cases, the emerging discourse on 'traditional values', the relevance of 'Southern voices' to human rights debates, and the relationship between human rights and peace agreements. Part II assesses the impact of globalization through the lenses of sociology and comparative constitutionalism, and features an analysis of the development of pluralistic ideas of law in the context of privatization. Finally, Part III addresses issues of legal theory, including whether global legal pluralism needs a concept of law, the importance of context in legal interpretation, the effect of increasing digitalization on legal theory, and the utility of feminist and postmodern approaches to globalization and legal theory.

Approaches through Materiality

Religion is a funny thing, because it always seems to be riding two horses at once. One could describe these horses in a number of different ways, using all sorts of familiar dichotomies; practice and belief, body and soul, earthly and heavenly, here and hereafter. “Give us this day our daily bread and forgive us our trespasses”. Here, food and forgiveness, or, perhaps more accurately, ingestion and salvation, are claimed, simultaneously – even seamlessly – by religion. This list could (and does) go on, being inclusive of, for example, immanence and transcendence – but more on this below. Yet these binary pairs can clearly be observed bleeding into one another. Ingesting pork, for example, often appears to be religiously more troublesome than does ingesting bread. This is because matter matters. We may ask, then, is religion really riding two horses, or are these ‘familiar dichotomies’ so familiar because they are false? Rephrasing the question in terms that partially echo the title and subtitle of Morgan’s (2010) landmark edited volume Religion and Material Culture: The Matter of Belief, is, I think, helpfully clarifying. What, then, is the matter with religion? The answer presented below is that, very often, the matter with religion is the matter of religion. Put more simply still, the problem with religion is its materiality. This chapter examines the whys and wherefores of this problem for the anthropology of religion – its ethnographic puzzles and methodological opportunities, as well as its conceptual impasses and theoretical insights.

Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems

Real-space grids are a powerful alternative for the simulation of electronic systems. One of the main advantages of the approach is the flexibility and simplicity of working directly in real space where the different fields are discretized on a grid, combined with competitive numerical performance and great potential for parallelization. These properties constitute a great advantage at the time of implementing and testing new physical models. Based on our experience with the Octopus code, in this article we discuss how the real-space approach has allowed for the recent development of new ideas for the simulation of electronic systems. Among these applications are approaches to calculate response properties, modeling of photoemission, optimal control of quantum systems, simulation of plasmonic systems, and the exact solution of the Schrödinger equation for low-dimensionality systems.

Can Future Managers and Business Executives be Influenced to Behave more Ethically in the Workplace? The Impact of Approaches to Learning on Business Students’ Cheating Behavior

This study considers the potential for influencing business students to become ethical managers by directing their undergraduate learning environment. In particular, the relationship between business students’ academic cheating, as a predictor of workplace ethical behavior, and their approaches to learning is explored. The three approaches to learning identified from the students’ approaches to learning literature are deep approach, represented by an intrinsic interest in and a desire to understand the subject, surface approach, characterized by rote learning and memorization without understanding, and strategic approach, associated with competitive students whose motivation is the achievement of good grades by adopting either a surface or deep approach. Consistent with the hypothesized theoretical model, structural equation modeling revealed that the surface approach is associated with higher levels of cheating, while the deep approach is related to lower levels. The strategic approach was also associated with less cheating and had a statistically stronger influence than the deep approach. Further, a significantly positive relationship reported between deep and strategic approaches suggests that cheating is reduced when deep and strategic approaches are paired. These findings suggest that future managers and business executives can be influenced to behave more ethically in the workplace by directing their learning approaches. It is hoped that the evidence presented may encourage those involved in the design of business programs to implement educational strategies which optimize students’ approaches to learning towards deep and strategic characteristics, thereby equipping tomorrow’s managers and business executives with skills to recognize and respond appropriately to workplace ethical dilemmas.