Confirmation: Increasing resource availability for transactional workflows

The notion of compensation is widely used in advanced transaction models as means of recovery from a failure. Similar concepts are adopted for providing transaction-like behaviour for long business processes supported by workflows technology. In general, it is not trivial to design compensating tasks for tasks in the context of a workflow. Actually, a task in a workflow process does not have to be compensatable in the sense that the forcibility of reverse operations of the task is not always guaranteed by the application semantics. In addition, the isolation requirement on data resources may make a task difficult to compensate. In this paper, we first look into the requirements that a compensating task has to satisfy. Then we introduce a new concept called confirmation. With the help of confirmation, we are able to modify most non-compensatable tasks so that they become compensatable. This can substantially increase the availability of shared resources and greatly improve backward recovery for workflow applications in case of failures. To effectively incorporate confirmation and compensation into a workflow management environment, a three level bottom-up workflow design method is introduced. The implementation issues of this design are also discussed. (C) 2003 Elsevier Science Inc. All rights reserved.

Numerical methods for strong solutions of stochastic differential equations: an overview

This paper gives a review of recent progress in the design of numerical methods for computing the trajectories (sample paths) of solutions to stochastic differential equations. We give a brief survey of the area focusing on a number of application areas where approximations to strong solutions are important, with a particular focus on computational biology applications, and give the necessary analytical tools for understanding some of the important concepts associated with stochastic processes. We present the stochastic Taylor series expansion as the fundamental mechanism for constructing effective numerical methods, give general results that relate local and global order of convergence and mention the Magnus expansion as a mechanism for designing methods that preserve the underlying structure of the problem. We also present various classes of explicit and implicit methods for strong solutions, based on the underlying structure of the problem. Finally, we discuss implementation issues relating to maintaining the Brownian path, efficient simulation of stochastic integrals and variable-step-size implementations based on various types of control.

Testing multiple mapping conditioning mixing for Monte Carlo probability density function simulations

Mitarai [Phys. Fluids 17, 047101 (2005)] compared turbulent combustion models against homogeneous direct numerical simulations with extinction/recognition phenomena. The recently suggested multiple mapping conditioning (MMC) was not considered and is simulated here for the same case with favorable results. Implementation issues crucial for successful MMC simulations are also discussed.

Issues in boys' education: A question of teacher threshold knowledges?

This paper explores the effects of specific teacher threshold knowledges about boys and gender on the implementation of a so-called 'boy friendly' curriculum at one junior secondary high school in Australia. Through semi-structured inter-views with selected staff at the school, it examines the normalizing assumptions and 'truth claims' about boys, as gendered subjects, which drive the pedagogical impetus for such a curriculum initiative. This research raises crucial questions about the need for the formulation of both school and governmental policy grounded in sound research-based knowledge about the social construction of gender and its impact on the lives of both boys and girls and their experiences of schooling. This is crucial, we argue, in light of the recent parliamentary report on boys' education in Australia which rejects gender theorizing and given the failure of key staff in the research school to interrogate the binary ways in which masculinity and femininity are socially constructed and institutionalized in schools through a particular 'gender regime'. While some good things are happening in the research school, the failure to acknowledge the social construction of gender means that ultimately the school's programs cannot be successful.

Encouraging practitioners to use resources: evaluation of the national implementation of a resource to improve the clinical management of alcohol-related problems in Indigenous primary care settings

This paper reports on the evaluation of the implementation of the National Recommendations for the Clinical Management of Alcohol-Related Problems in Indigenous Primary Care Settings undertaken in 2001 through 74 standardized workshops, which sought to determine: ( 1) whether this approach to implementation influenced the likelihood that the National Recommendations would be used; ( 2) whether it influenced participants' willingness to engage with Indigenous patients regarding alcohol-related issues; and ( 3) whether the implementation as a whole influenced both practice and clinicians' willingness to engage. Evaluation included pre-/post-workshop and follow-up questionnaires and a focus group. The findings presented indicate that distribution of clinical resources alone is not sufficient to ensure use and that, particularly for medical practitioners, appropriate introduction not only increases use but also positively influences willingness to engage with alcohol-related problems as part of primary clinical care. Further, the enthusiasm for guideline production should be tempered by the need to develop effective implementation strategies.

Introduction of routine outcome measures: staff reactions and issues for consideration

The aim of this study was to explore clinician reactions to (i) the introduction of routine outcome measures and (ii) the utility of outcomes data in clinical practice. Focus group discussions (n = 34) were conducted with mental health staff (n = 324) at approximately 8 months post implementation of routine outcome measures. A semi-structured interview schedule was used to collect data on two key issues; reactions to the introduction of outcome measures and factors influencing the utility of outcomes data in clinical practice. Data from the discussion groups were analysed using content analysis to isolate emerging themes. While the majority of participants endorsed the collection and utilization of outcomes data, many raised questions about the merits of the initiative. Ambivalence, competing work demands, lack of support from senior medical staff, questionable evidence to support the use of outcome measures, and fear of how outcomes data might be used emerged as key issues. At 8 months post implementation a significant number of clinical staff remained ambivalent about the benefits of outcome measurement and had not engaged in the process. The shift to a service model driven by outcomes and case-mix data will take time and resources to achieve. Implications for nursing staff are discussed.