The Science of Religious Beliefs

Why have humans, throughout history and across cultures, shown a strong tendency to believe in the existence of superhuman intentional agents and attached this belief to notions of morality, misfortune, and the creation of the world? The answer emerging from the cognitive science of religion appears to be that explicit beliefs are informed and constrained by the natural and cross-culturally recurrent operation of implicit cognitive systems. Successful god concepts resonate with the expectations of these implicit systems but also have attention-demanding and inferentially-rich properties that allow their integration into various areas of human concern. Theological concepts may deviate from these natural cognitive moorings but require special cultural scaffolding, such as Whitehouse's two Modes of Religiosity, to do so and constitute additions to, rather than replacements of the religious beliefs supported by implicit cognitive systems.

Enabling science through emerging HPC technologies: accelerating numerical quadrature using a GPU

The R-matrix method when applied to the study of intermediate energy electron scattering by the hydrogen atom gives rise to a large number of two electron integrals between numerical basis functions. Each integral is evaluated independently of the others, thereby rendering this a prime candidate for a parallel implementation. In this paper, we present a parallel implementation of this routine which uses a Graphical Processing Unit as a co-processor, giving a speedup of approximately 20 times when compared with a sequential version. We briefly consider properties of this calculation which make a GPU implementation appropriate with a view to identifying other calculations which might similarly benet.

Cooperative Learning in Science: Follow-up from primary to high school

This paper reports a two-year longitudinal study of the effects of cooperative learning on science attainment, attitudes towards science, and social connectedness during transition from primary to high school. A previous project on cooperative learning in primary schools observed gains in science understanding and in social aspects of school life. This project followed 204 children involved in the previous project and 440 comparison children who were not as they undertook transition from 24 primary schools to 16 high schools. Cognitive, affective, and social gains observed in the original project survived transition. The implications improving the effectiveness of school transition by using cooperative learning initiatives are explored. Possibilities for future research and the implications for practice and policy are discussed.

DONUTS: A Science Frame Autoguiding Algorithm with Sub-Pixel Precision, Capable of Guiding on Defocused Stars

We present the DONUTS autoguiding algorithm, designed to fix stellar positions at the sub-pixel level for high-cadence time-series photometry, and also capable of autoguiding on defocused stars. DONUTS was designed to calculate guide corrections from a series of science images and recentre telescope pointing between each exposure. The algorithm has the unique ability of calculating guide corrections from undersampled to heavily defocused point spread functions. We present the case for why such an algorithm is important for high precision photometry and give our results from off and on-sky testing. We discuss the limitations of DONUTS and the facilities where it soon will be deployed.

Still Fighting the "War for Talent''? Bridging the Science Versus Practice Gap

The purpose of this article is to identify some the most critical outstanding issues faced by practitioners in undertaking effective talent management. In spite of the global financial crisis, talent management will continue being one of the most important challenges faced by organizations in the coming decade. Workforce demographics and skills shortages are likely to make the "war for talent'' fiercer than ever before making effective talent management a competitive necessity. While talent management is rapidly developing as a research field, there are many areas and questions that need to be explored. These questions are likely to have a particularly important applied benefit as they represent some of the key challenges organizations are grappling with in effectively managing their talent. The article asks researchers in the field to consider the questions proposed in developing future research agendas.