Are systemizing and autistic traits related to talent and interest in mathematics and engineering? Testing some of the central claims of the empathizing-systemizing theory.

In two experiments, we tested some of the central claims of the empathizing-systemizing (E-S) theory. Experiment 1 showed that the systemizing quotient (SQ) was unrelated to performance on a mathematics test, although it was correlated with statistics-related attitudes, self-efficacy, and anxiety. In Experiment 2, systemizing skills, and gender differences in these skills, were more strongly related to spatial thinking styles than to SQ. In fact, when we partialled the effect of spatial thinking styles, SQ was no longer related to systemizing skills. Additionally, there was no relationship between the Autism Spectrum Quotient (AQ) and the SQ, or skills and interest in mathematics and mechanical reasoning. We discuss the implications of our findings for the E-S theory, and for understanding the autistic cognitive profile.

CO oxidation and NO reduction on metal surfaces: density functional theory investigations

This article reviews the accumulated theoretical results, in particular density functional theory calculations, on two catalytic processes, CO oxidation and NO reduction on metal surfaces. Owing to their importance in automotive emission control, these two reactions have generated a lot of interest in the last 20 years. Here the pathways and energetics of the involved elementary reactions under different catalytic conditions are described in detail and the understanding of the reactions is generalized. It is concluded that density functional theory calculations can be applied to catalysis to elucidate mechanisms of complex surface reactions and to understand the electronic structure of chemical processes in general. The achieved molecular knowledge of chemical reactions is certainly beneficial to new catalyst design.

Situating relational ontology and transformative activist stance within the ‘everyday’ practice of coteaching and cogenerative dialogue.

This paper attempts to advance the thinking in Stetsenko’s paper by situating the concepts of relational ontology and transformative activist stance in the context of coteaching and cogenerative dialogue. In so doing, we hope to make Stetsenko’s ideas more operational in terms of access and application by researchers, teachers, policy makers and other stakeholders in education. Stetsenko argues that moving from relational ontology to a transformative activist stance can be considered as moving from participation to contribution. When this model was applied to coteaching and cogenerative dialogue, it was apparent that the coteaching and cogenerative dialogue moved further, from contribution to shared contribution, adding even greater potential for transformation. The paper also discusses the use of cultural historical activity theory in articulating the relationships, dynamics and interpretations of coteaching and cogenerative dialogue in relation to the wider context of their application.

Entrepreneurial and Business Growth and the Quest for a “Comprehensive Theory”: Tilting at Windmills?

Even though there has been sustained interest in growth for almost 50 years, relatively little is known about this phenomenon and much confusion and misunderstanding surrounds it. Based on a literature review and the articles in this special issue we make three recommendations that we believe will allow theory to advance and be applicable in practice. First, that discourse between key stakeholders is encouraged in order to achieve greater understanding. Second, that focus is placed on " growth as a process," rather than as a " change in amount." Third, that knowledge production requires inclusivity and pluralism in research perspectives and approaches. © 2010 Baylor University.

R-matrix-Floquet theory of multiphoton processes:VIII. A linear equations method

A new linear equations method for calculating the R-matrix, which arises in the R-matrix-Floquet theory of multiphoton processes, is introduced. This method replaces the diagonalization of the Floquet Hamiltonian matrix by the solution of a set of linear simultaneous equations which are solved, in the present work, by the conjugate gradient method. This approach uses considerably less computer memory and can be readily ported onto parallel computers. It will thus enable much larger problems of current interest to be treated. This new method is tested by applying it to three-photon ionization of helium at frequencies where double resonances with a bound state and autoionizing states are important. Finally, an alternative linear equations method, which avoids the explicit calculation of the R-matrix by incorporating the boundary conditions directly, is described in an appendix.

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assessments

This paper investigates a representation language with flexibility inspired by probabilistic logic and compactness inspired by relational Bayesian networks. The goal is to handle propositional and first-order constructs together with precise, imprecise, indeterminate and qualitative probabilistic assessments. The paper shows how this can be achieved through the theory of credal networks. New exact and approximate inference algorithms based on multilinear programming and iterated/loopy propagation of interval probabilities are presented; their superior performance, compared to existing ones, is shown empirically.

Social Equality: On what it means to be equals

The first collected volume on social and relational equality.
Addresses a gap in the literature - while many philosophers have pointed to the importance of social equality, it requires much more theoretical development, which this volume aims to provide.
Offers a unique answer to the debate about whether or not equality is valuable.
Features a foreword by eminent political theorist David Miller
Includes new contributions by some of the most well-known contemporary moral and political philosophers, such as Samuel Scheffler and Jonathan Wolff.
Is equality valuable? This question dominates many discussions of social justice, which tend to center on whether certain forms of distributive equality are valuable, such as the equal distribution of primary social goods. But these discussions often neglect what is known as social or relational equality. Social equality suggests that equality is foremost about relationships and interactions between people, rather than being primarily about distribution.

A number of philosophers have written about the significance of social equality, and it has also played an important role in real-life egalitarian movements, such as feminism and civil rights movements. However, as it has been relatively neglected in comparison to the debates about distributive equality, it requires much more theoretical attention. This volume brings together a collection of ten original essays which present new analyses of social and relational equality in philosophy and political theory. The essays analyze the nature of social equality, as well as its relationship to justice and politics.

Readership: The book is primarily aimed at professionals in the field - philosophers (especially in moral, social and political philosophy) and political theorists. It is also aimed at the academic library market. Moreover, the book should be of interest to advanced undergraduate and postgraduate students attending courses on theories of equality and/or social justice.

Context-dependent Combination of Sensor Information in Dempster-Shafer Theory for BDI

There has been much interest in the belief–desire–intention (BDI) agent-based model for developing scalable intelligent systems, e.g. using the AgentSpeak framework. However, reasoning from sensor information in these large-scale systems remains a significant challenge. For example, agents may be faced with information from heterogeneous sources which is uncertain and incomplete, while the sources themselves may be unreliable or conflicting. In order to derive meaningful conclusions, it is important that such information be correctly modelled and combined. In this paper, we choose to model uncertain sensor information in Dempster–Shafer (DS) theory. Unfortunately, as in other uncertainty theories, simple combination strategies in DS theory are often too restrictive (losing valuable information) or too permissive (resulting in ignorance). For this reason, we investigate how a context-dependent strategy originally defined for possibility theory can be adapted to DS theory. In particular, we use the notion of largely partially maximal consistent subsets (LPMCSes) to characterise the context for when to use Dempster’s original rule of combination and for when to resort to an alternative. To guide this process, we identify existing measures of similarity and conflict for finding LPMCSes along with quality of information heuristics to ensure that LPMCSes are formed around high-quality information. We then propose an intelligent sensor model for integrating this information into the AgentSpeak framework which is responsible for applying evidence propagation to construct compatible information, for performing context-dependent combination and for deriving beliefs for revising an agent’s belief base. Finally, we present a power grid scenario inspired by a real-world case study to demonstrate our work.