Why nurses should be Marxists

The argument that nurses should be Marxists is made by looking at the primary areas of nursing activity in turn, giving an example of how capitalist economic relations negatively impact upon that activity, and providing a Marxist explanation of the reasons why it has that impact. In relation to the nursing activity of health promotion, it is argued that capitalism's generation of social inequality undermines the health of the population. In relation to curative activities, the focus is on how capitalism's reckless pursuit of profit has subverted the sustainability of bactericidal interventions. The argument in relation to comforting and assistive care is that the ownership and control of health services by capitalist corporations undermines therapeutic relationships. Finally, in relation to supportive care, it is contended that capitalism's requirement for a disciplined workforce can compromise healthcare professionals' support of employees. It is concluded that if nurses aspire to have some control over their activities, then it is a good idea for them to avail of Marxism's capacity to identify the socio-economic mechanisms by which capitalism affects nursing care

Moral economy versus political economy: provincializing Polanyi

This theoretically focused chapter by John Holmwood adopts a strategy of conceptual ‘provincializing’ and thereby reveals race as a lacuna in Polanyian and neo-Polanyian scholarship. Alongside its wide-ranging theoretical engagement, including innovative postcolonial reflections, Holmwood’s discussion is extraordinarily timely, engaging with US ‘race relations’ and the current ‘asylum crisis’ in large parts of Europe, as well as with wider currents of marketization. Racism is thereby analysed in both its deeper historical and current socioeconomic contexts

Towards crystal structure prediction of complex organic compounds - a report on the fifth blind test

Following on from the success of the previous crystal structure prediction blind tests (CSP1999, CSP2001, CSP2004 and CSP2007), a fifth such collaborative project (CSP2010) was organized at the Cambridge Crystallographic Data Centre. A range of methodologies was used by the participating groups in order to evaluate the ability of the current computational methods to predict the crystal structures of the six organic molecules chosen as targets for this blind test. The first four targets, two rigid molecules, one semi-flexible molecule and a 1: 1 salt, matched the criteria for the targets from CSP2007, while the last two targets belonged to two new challenging categories - a larger, much more flexible molecule and a hydrate with more than one polymorph. Each group submitted three predictions for each target it attempted. There was at least one successful prediction for each target, and two groups were able to successfully predict the structure of the large flexible molecule as their first place submission. The results show that while not as many groups successfully predicted the structures of the three smallest molecules as in CSP2007, there is now evidence that methodologies such as dispersion-corrected density functional theory (DFT-D) are able to reliably do so. The results also highlight the many challenges posed by more complex systems and show that there are still issues to be overcome