1,821,683 research outputs found

    Developing and applying an integrated modular design methodology within a SME

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    Modularity within a product can bring advantages to the design process by facilitating enhanced design reuse, reduced lead times, decreased cost and higher levels of quality. While the benefits of modularity are becoming increasingly better known, at present it is usually left to the designers themselves to introduce modularity into products. Studies into modularity have shown that byimplementing 'formal' methods, further benefits can be made in terms of time, cost, quality and performance. Current approaches that have been proposed for the formal development of modular design methodologies fail to accurately represent knowledge that is inherently produced during design projects and fail to consider design from the different viewpoints of the development process. This work, built on previous work on modularity and design for reuse, aims to develop an integrated design methodology that will optimise the modules created through the design process and allow for modularity to be 'built-in' to product development from the initial stages. The methodology andassociated tools have been developed to provide an easy-to-use approach to modularity that has support for design rationales and company knowledge that aid in effective design decision making. The methodology, named GeMoCURE, provides an integrated total solution to modular design based on reuse of proven physical and knowledge modules. Its incremental nature allows for the optimalstructure to be maintained as the design progresses. A special focus has been on the application of this approach for Small to Medium Enterprises (SMEs), which are typically challenged by a lack of design human resources and expertise

    Credible Autocoding of Convex Optimization Algorithms

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    The efficiency of modern optimization methods, coupled with increasing computational resources, has led to the possibility of real-time optimization algorithms acting in safety critical roles. There is a considerable body of mathematical proofs on on-line optimization programs which can be leveraged to assist in the development and verification of their implementation. In this paper, we demonstrate how theoretical proofs of real-time optimization algorithms can be used to describe functional properties at the level of the code, thereby making it accessible for the formal methods community. The running example used in this paper is a generic semi-definite programming (SDP) solver. Semi-definite programs can encode a wide variety of optimization problems and can be solved in polynomial time at a given accuracy. We describe a top-to-down approach that transforms a high-level analysis of the algorithm into useful code annotations. We formulate some general remarks about how such a task can be incorporated into a convex programming autocoder. We then take a first step towards the automatic verification of the optimization program by identifying key issues to be adressed in future work

    Study of Tools Interoperability

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    Interoperability of tools usually refers to a combination of methods and techniques that address the problem of making a collection of tools to work together. In this study we survey different notions that are used in this context: interoperability, interaction and integration. We point out relation between these notions, and how it maps to the interoperability problem. We narrow the problem area to the tools development in academia. Tools developed in such environment have a small basis for development, documentation and maintenance. We scrutinise some of the problems and potential solutions related with tools interoperability in such environment. Moreover, we look at two tools developed in the Formal Methods and Tools group1, and analyse the use of different integration techniques

    Managing clinical uncertainty: an ethnographic study of the impact of critical care outreach on end‐of‐life transitions in ward‐based critically ill patients with a life‐limiting illness

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    © 2018 Crown copyright. Journal of Clinical Nursing © 2018 John Wiley & Sons LtdRapid response teams, such as critical care outreach teams, have prominent roles in managing end-of-life transitions in critical illness, often questioning appropriateness of treatment escalation. Clinical uncertainty presents clinicians with dilemmas in how and when to escalate or de-escalate treatment. Aims and objectives: To explore how critical care outreach team decision-making processes affect the management of transition points for critically ill, ward-based patients with a life-limiting illness. Methods: An ethnographic study across two hospitals observed transition points and decisions to de-escalate treatment, through the lens of critical care outreach. In-depth interviews were carried out to elucidate rationales for practices witnessed in observations. Detailed field notes were taken and placed in a descriptive account. Ethnographic data were analysed, categorised and organised into themes using thematic analysis. Findings: Data were collected over 74 weeks, encompassing 32 observation periods with 20 staff, totalling more than 150 hr. Ten formal staff interviews and 20 informal staff interviews were undertaken. Three main themes emerged: early decision-making and the role of critical care outreach; communicating end-of-life transitions; end-of-life care and the input of critical care outreach. Findings suggest there is a negotiation to achieve smooth transitions for individual patients, between critical care outreach, and parent or ward medical teams. This process of negotiation is subject to many factors that either hinder or facilitate timely transitions. Conclusions: Critical care outreach teams have an important role in shared decision-making. Associated emotional costs relate to conflict with parent medical teams, and working as lone practitioners. The cultural contexts in which teams work have a significant effect on their interactions and agency. Relevance to practice: There needs to be a cultural shift towards early and open discussion of treatment goals and limitations of medical treatment, particularly when facing serious illness. With training and competencies, outreach nurses are well placed to facilitate these discussions.Peer reviewe

    The Elements of Influence (and a Ghost) : Julien Prévieux

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    ''Work, management, economics, politics, control systems, state-of-the-art technologies, and the culture industry are the many “worlds” that Prix Marcel Duchamp winning artist Julien Prévieux’s activities interrogate. The methods of recording movement and gesture developed over the last century and a half led to aesthetic results that recall the formal explorations of modernist art. Playing on this resemblance, Julien Prévieux transforms these records—originally produced for the sake of productivity, profit or surveillance—into pure form. Using map-making, dance, theatre, sculpture, video, and drawing, his work appropriates the vocabulary, mechanisms, and modus operandi of the sectors by which it is informed to highlight their dogmas and excesses. In this solo exhibition presented across both galleries, Prévieux highlights each mechanism’s potential for play, creativity, productivity, and counter-productivity.'' -- Publisher's websit

    Advanced Methods for Dose-Response Assessment: Bayesian Approaches—Final Report

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    Resources for the Future (RFF), in conjunction with the U.S. Environmental Protection Agency, the Society for Risk Analysis, and the Electric Power Research Institute, held a workshop September 18–20, 2000, at the RFF Conference Center in Washington, D.C. The intent was to discuss how Bayesian approaches could be useful in improving techniques for estimating exposure–response functions. Ten distinguished scholars from a range of fields (medical biostatistics, decision sciences, environmental engineering, and toxicology) served as faculty. Approximately 80 people attended the workshop. Bayesian methods have been applied to a variety of problems in biomedical research and environmental risk analysis, including design of clinical trials, estimation of exposures to humans and local environments, and, in a few cases, estimation of exposure–response functions. Bayesian methods offer two signal advantages: their use requires careful analysis of problem logic, which has intrinsic utility, and disparate data can be incorporated into calculations. Although application of formal Bayesian analysis can be computationally challenging, widely available computer programs now greatly reduce this burden. Participants identified several factors that may impede the dissemination of Bayesian approaches among practitioners of dose–response assessment and made some recommendations for overcoming these hurdles. EPA, other regulatory agencies that use dose–response assessment as part of their processes, and the private sector all should take steps to foster the use of Bayesian approaches. EPA and other agencies should work to persuade professional societies (for example, Society for Risk Analysis, Society of Toxicology) to seek out and recognize meritorious analyses that use Bayesian approaches. EPA and private-sector organizations should consider sponsoring research into using Bayesian approaches, demonstration analyses that use them, and using the results of this work to help educate peers in the risk analysis and toxicology professions. EPA should request all staff and contractor scientists who develop mathematical models to use Bayesian techniques to calibrate models. EPA should consider ways to inform its staff, contractors, and the research community as to the utility of Bayesian analyses. EPA should consider improving its research planning by making use of Bayesian techniques (including value-of-information analyses).Bayesian analysis, dose–response, regulation, risk assessment, arsenic

    “Anyone Can Change the World”: An Ethnography of Design For Change

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    Design For Change (DFC), an education program that seeks to empower students to work for change in their community, has been suggested as a tool for education reform, but little formal research has been conducted on the program. This study sought to fill this gap by examining the implementation of the DFC in a Dallas elementary school. The year-long study was qualitative in nature and used ethnographic methods to gain a deep understanding of how the curriculum interacted with and influenced students. It was demonstrated that the students in the study flourished with DFC, making effective use of knowledge and skills, showing increased agency in the classroom, and coming to see themselves as valuable contributors to change in their community. These findings were analyzed using the theories of Pierre Bourdieu, and suggest that DFC not only creates change through student’s projects, but can be subversive to structures that perpetuate inequality
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