5 resultados para Feeder reconfigurations
em Repositório Científico do Instituto Politécnico de Lisboa - Portugal
Resumo:
O actual protagonismo que os suplementos alimentares têm vindo a assumir no quadro de novas lógicas de oferta e de consumo de recursos terapêuticos, constitui um facto que é revelador da emergência de novos fenómenos que geram reconfigurações importantes ao nível da dimensão social de novas práticas em torno destes mesmos recursos, com implicações no papel dos profissionais de farmácia. Face a este novo quadro, em que novas realidades profissionais se desenham como resposta a estes fenómenos, o olhar interdisciplinar que aqui se desenvolve procura problematizar os novos papéis dos profissionais ao nível do aconselhamento e da educação para a saúde. Sustenta-se que esse objectivo dificilmente poderá ser mais do que um mero horizonte normativo, se não for capaz de integrar as abordagens de carácter sociológico sobre as importantes reconfigurações das dinâmicas de autonomia e reflexividade leiga que têm vindo a ocorrer em termos de gestão da saúde e de consumos terapêuticos. The current role that dietary supplements have been playing under new logic of supply and consumption of therapeutic resources, is a fact that reveals the emergence of new phenomena that generate major reconfigurations to the social dimension of new practices around these resources, with implications for the professional role of pharmacy practitioners. In this new framework, in which new realities are emerging as a professional response to these phenomena, the interdisciplinary outlook that we develop aims to raise some critical questions concerning the development of new roles in pharmacy practitioners in counseling and health education. We assert that this goal will scarcely be more than just a normative horizon, if unable to integrate the nature of sociological approaches on important reconfiguration of the dynamics of lay autonomy and reflexivity that have been occurring in terms of health management and therapeutic consumptions.
Resumo:
Tendo como base o contributo inovador de Fleck para o estudo do conhecimento médico, procura-se neste artigo explorar a ideia da incomensurabilidade entre estilos de pensamento. O objetivo principal é o de discutir em que medida as recentes reconfigurações suscitadas pela consolidação da Medicina Baseada na Evidência se têm traduzido na reformulação dos fundamentos da prática clínica. A partir da ilustração exploratória da especialidade de Medicina Geral e Familiar, sustenta-se que o contexto da praxis clínica implica articulações compósitas entre diferentes estilos de pensamento. Daí resulta que em lugar do conceito de incomensurabilidade, poderá ser mais adequado aprofundar as potencialidades da ideia de sincretismo epistemológico.
Resumo:
Workflows have been successfully applied to express the decomposition of complex scientific applications. This has motivated many initiatives that have been developing scientific workflow tools. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from workflow tasks specification, decentralizing the control of workflow activities, and allowing their tasks to run autonomous in distributed infrastructures, for instance on Clouds. Furthermore many workflow tools only support the execution of Direct Acyclic Graphs (DAG) without the concept of iterations, where activities are executed millions of iterations during long periods of time and supporting dynamic workflow reconfigurations after certain iteration. We present the AWARD (Autonomic Workflow Activities Reconfigurable and Dynamic) model of computation, based on the Process Networks model, where the workflow activities (AWA) are autonomic processes with independent control that can run in parallel on distributed infrastructures, e. g. on Clouds. Each AWA executes a Task developed as a Java class that implements a generic interface allowing end-users to code their applications without concerns for low-level details. The data-driven coordination of AWA interactions is based on a shared tuple space that also enables support to dynamic workflow reconfiguration and monitoring of the execution of workflows. We describe how AWARD supports dynamic reconfiguration and discuss typical workflow reconfiguration scenarios. For evaluation we describe experimental results of AWARD workflow executions in several application scenarios, mapped to a small dedicated cluster and the Amazon (Elastic Computing EC2) Cloud.
Resumo:
In global scientific experiments with collaborative scenarios involving multinational teams there are big challenges related to data access, namely data movements are precluded to other regions or Clouds due to the constraints on latency costs, data privacy and data ownership. Furthermore, each site is processing local data sets using specialized algorithms and producing intermediate results that are helpful as inputs to applications running on remote sites. This paper shows how to model such collaborative scenarios as a scientific workflow implemented with AWARD (Autonomic Workflow Activities Reconfigurable and Dynamic), a decentralized framework offering a feasible solution to run the workflow activities on distributed data centers in different regions without the need of large data movements. The AWARD workflow activities are independently monitored and dynamically reconfigured and steering by different users, namely by hot-swapping the algorithms to enhance the computation results or by changing the workflow structure to support feedback dependencies where an activity receives feedback output from a successor activity. A real implementation of one practical scenario and its execution on multiple data centers of the Amazon Cloud is presented including experimental results with steering by multiple users.
Resumo:
Workflows have been successfully applied to express the decomposition of complex scientific applications. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from tasks specification, decentralizing the control of workflow activities allowing their tasks to run in distributed infrastructures, and supporting dynamic workflow reconfigurations. We present the AWARD (Autonomic Workflow Activities Reconfigurable and Dynamic) model of computation, based on Process Networks, where the workflow activities (AWA) are autonomic processes with independent control that can run in parallel on distributed infrastructures. Each AWA executes a task developed as a Java class with a generic interface allowing end-users to code their applications without low-level details. The data-driven coordination of AWA interactions is based on a shared tuple space that also enables dynamic workflow reconfiguration. For evaluation we describe experimental results of AWARD workflow executions in several application scenarios, mapped to the Amazon (Elastic Computing EC2) Cloud.