Factors influencing job valuation: a comparative study of critical care and mon-critical care nurses

This study sought to identify the relationship between three predictor variables. perceived collaboration with medical staff, autonomy and independent actions and an outcome. the value hospital nurses placed on their work. In total 189 critical care and 366 non-critical care nurses completed a mailed survey. Critical cure nurses perceived themselves to have a mure collaborative relationship with the medical staff. described performing actions independent of medical orders more frequently and perceived their jobs to have more value than non-critical care nurses. However the latter group perceived themselves to have more autonomy in their work. Within both groups collaboration and autonomy were significantly, but weak to moderately correlated with job valuation. Simply expanding the work hospital nurses do is unlikely to result in nurses valuing their jobs more. however promoting an environment of respect and sharing between the medical and nursing staff and supporting nurses when they act in an autonomous fashion may positively influence nurses' perceptions of their work. (C) 2001 Elsevier Science Ltd. All rights reserved.

Marx as a Critical Discourse Analyst: The genesis of a critical method and its relevance to the critique of global capital

In this paper we identify elements in Marx´s economic and political writings that are relevant to contemporary critical discourse analysis (CDA). We argue that Marx can be seen to be e n gaging in a form of discourse analysis. We identify the elements in Marx´s historical materialist method that support such a perspective, and exemplify these in a longitudinal comparison of Marx´s texts.

Translating policy: Power and action in Australia's country towns

Controversies In its present condition, rural Australia is characterised by a discourse of decline that sees country towns and regions as places of demoralisation and despair. From a Foucauldian governmentality perspective, those who live in these spaces are not so much 'powerless' to the demands of urban-based governments and global capital, as rendered governable according to the socio-political ambitions of late capitalism. While important insights have been derived from such analyses, it is argued in this paper that excessive attention is often paid to the power of the state with little concern for the various ways in which local people engage with, and transform the strategies and effects of state power. Rather than utilising the concept of resistance to make sense of these interactions, a sociology of translation is adopted from the Actor Network Theory literature. Applied to two case examples, it shows how governmental policies and programmes are frequently the outcome of the interactions and negotiations that take place between all those enrolled in the actor-network.

The Metaphysics of Information The Power and the Glory of Machinehood

Não há disciplina em qualquer ramo da ciência, seja esta natural, social, humana, descritiva, experimental ou teórica, qualitativa ou quantitativa, que não tenha sido afectada a vários níveis da instrumentalidade, conceptualização, construção de modelos, escolha de metáforas heurísticas ou ontológicas, e sentidO da investigação, em alguns casos muito profunda e decisivamente, pela influência crescente da constelação informacional computacional. A investigação baseada em simulações por computador é uma “terceira espécie de ciência”, que se soma aos tipos teórico e físico-experimental de trabalho científico. A ciber-ciência é um lugar natural para simular ciência, ou meta-ciberciência, mas todo o conhecimento científico cai no domínio da meta-ciberciência ou da filosofia da ciência computacional. A meta-ciência simula a ciência(o estudo computacional da produção do conhecimento científico); a ciber-ciência é por definição simulatória; a ciber-ciência simula a Natureza; a Natureza, segundo alguns físicos, é ela mesma uma simulação. Receber a categoria da informação nas ciências da vida e nas ciências humanas e sociais, da maneira específica como tem vindo a ocorrer, traz um considerável lastro metafísico: os humanos como máquinas, ultrapassáveis por máquinas inteligentes ou “espirituais”. A informação emerge como a alavanca de Arquimedes para as nossas intervenções n o domínio da vida e do espírito, de máquinas informacionais naturais, com evidentes implicações para a ciência política.

Combined heat and power and consumption optimization in a SCADA-based system

The operation of power systems in a Smart Grid (SG) context brings new opportunities to consumers as active players, in order to fully reach the SG advantages. In this context, concepts as smart homes or smart buildings are promising approaches to perform the optimization of the consumption, while reducing the electricity costs. This paper proposes an intelligent methodology to support the consumption optimization of an industrial consumer, which has a Combined Heat and Power (CHP) facility. A SCADA (Supervisory Control and Data Acquisition) system developed by the authors is used to support the implementation of the proposed methodology. An optimization algorithm implemented in the system in order to perform the determination of the optimal consumption and CHP levels in each instant, according to the Demand Response (DR) opportunities. The paper includes a case study with several scenarios of consumption and heat demand in the context of a DR event which specifies a maximum demand level for the consumer.

Dynamic power- and failure-aware cloud resources allocation for Sets of independent tasks

Cloud computing is increasingly being adopted in different scenarios, like social networking, business applications, scientific experiments, etc. Relying in virtualization technology, the construction of these computing environments targets improvements in the infrastructure, such as power-efficiency and fulfillment of users’ SLA specifications. The methodology usually applied is packing all the virtual machines on the proper physical servers. However, failure occurrences in these networked computing systems can induce substantial negative impact on system performance, deviating the system from ours initial objectives. In this work, we propose adapted algorithms to dynamically map virtual machines to physical hosts, in order to improve cloud infrastructure power-efficiency, with low impact on users’ required performance. Our decision making algorithms leverage proactive fault-tolerance techniques to deal with systems failures, allied with virtual machine technology to share nodes resources in an accurately and controlled manner. The results indicate that our algorithms perform better targeting power-efficiency and SLA fulfillment, in face of cloud infrastructure failures.