University of Westminster

About: University of Westminster is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Politics. The organization has 2944 authors who have published 8426 publications receiving 200236 citations. The organization is also known as: Westminster University & Royal Polytechnic Institution.

Digital Workers of the World Unite! A Framework for Critically Theorising and Analysing Digital Labour

Abstract: The overall task of this paper is to elaborate a typology of the forms of labour that are needed for the production, circulation and use of digital media. First, we introduce a cultural-materialist perspective on theorising digital labour. Second, we discuss the relevance of Marx’s concept of the mode of production for the analysis of digital labour. Third, we introduce a typology of the dimensions of working conditions. Fourth, based on the preceding sections we present a digital labour analysis toolbox. Finally, we draw some conclusions. We engage with the question what labour is, how it differs from work, which basic dimensions it has and how these dimensions can be used for defining digital labour. We introduce the theoretical notion of the mode of production as analytical tool for conceptualizing digital labour. Modes of production are dialectical units of relations of production and productive forces. Relations of production are the basic social relations that shape the economy. Productive forces are a combination of labour power, objects and instruments of work in a work process, in which new products are created. We have a deeper look at dimensions of the work process and the conditions under which it takes place. We present a typology that identifies dimensions of working conditions. It is a general typology that can be used for the analysis of any production process.

Cardiovascular activity during mental stress following vigorous exercise in sportsmen and inactive men

Abstract: Thirty-six competitive sportsmen and 36 inactive men participated in a two-session experiment. Session 1 involved exercise to exhaustion so as to assess maximal oxygen consumption (VO2 max). In Session 2, both groups were randomized into three experimental conditions: 20 min of exercise at high intensity (70% VO2max) or moderate intensity (50% VO2max) or a light exercise control. Following 30 min of recovery, all subjects performed mental arithmetic and public speech tasks in a counterbalanced order. Cardiovascular, electrodermal, respiratory, and subjective variables were recorded. Sportsmen had higher VO2max, lower body fat, and lower resting heart rate (HR) than inactive men. A postexercise hypotensive response was observed among subjects in the 70% and 50% VO2max conditions, accompanied by baroreceptor reflex inhibition in the 70% condition. Systolic pressure was lower during mental arithmetic and during recovery from the speech task in the high-intensity than in the control group. Diastolic pressure was lower following mental arithmetic in the high-intensity group. No differences in HR reactivity, electrodermal, or respiratory parameters were observed, but baroreceptor reflex sensitivity was inhibited during mental arithmetic. The results are discussed in relation to previous reports of suppressed cardiovascular reactivity to mental stress tests following vigorous exercise and the role of stress-related processes in the antihypertensive response to physical training.

Overcoming the barriers: a qualitative study of simulation adoption in the NHS

Abstract: This paper addresses a key issue in the health OR literature, namely the apparent failure of OR modelling to become embedded and widely implemented within healthcare organisations. The research presented here is a case study to evaluate the adoption of one particular simulation modelling tool, Scenario Generator (S:G), which was developed by the SIMUL8 Corporation in a PPI partnership with the UK's National Health Service (NHS) Institute for Innovation and Improvement. The study involved semi-structured interviews with employees of 28 Primary Care Trusts who had all been engaged in some way with the initiative, with participants classified as ‘Not Started’, ‘Given Up’ and ‘Actively Using’. This paper presents a brief summary of barriers and facilitators to the successful use of the S:G software, but its main purpose is to focus more broadly on factors influencing the successful adoption of simulation tools in general within healthcare organisations. The insights gained in this study are relevant to improving the uptake of OR modelling in general within the NHS.