72 research outputs found

    Investigation of corneal changes associated with orthokeratology

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    Investigation of corneal changes associated with orthokeratolog

    Second (Final) Report on EPOS-ICS Architecture

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    This deliverable describes the ICS-C final architecture. Based on user satisfaction with the architectural design and simple prototype of EPOS-PP (Preparatory Phase) the initial architecture was defined. During the period M1-M18 of EPOS-IP (Implementation Phase) the architecture was refined based on interactions with the TCS and presented at EPOS project meetings. During the period M19-M36 progressive iterative prototypes driven by evolving user requirements and aspirations have been developed allowing the architecture to be specified in much more detail and the components refined and implemented. For some components (ICS-D, CES) implementation is continuing because this requires especially close working with the TCS. Detailed work has been undertaken validating the ICS-C against the evolving and increasingly ambitious user requirements and – in particular – collecting the metadata describing the assets in the TCS to populate the catalog. The architecture has been designed using the latest advances in metadata (for the catalog) and architectural approach (microservices). A consistent spiral, agile systems development method has been used. As part of this work the teams of WP6 and WP7 of EPOS – each spread across several organisations – have been integrated into a functioning unit with appropriate skills and abilities for the tasks. There has been some delay in recruitment to provide the human resources required but this has been overcome and the work is on schedule

    WESTT (Workload, Error, Situational Awareness, Time and Teamwork): An analytical prototyping system for command and control

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    Modern developments in the use of information technology within command and control allow unprecedented scope for flexibility in the way teams deal with tasks. These developments, together with the increased recognition of the importance of knowledge management within teams present difficulties for the analyst in terms of evaluating the impacts of changes to task composition or team membership. In this paper an approach to this problem is presented that represents team behaviour in terms of three linked networks (representing task, social network structure and knowledge) within the integrative WESTT software tool. In addition, by automating analyses of workload and error based on the same data that generate the networks, WESTT allows the user to engage in the process of rapid and iterative “analytical prototyping”. For purposes of illustration an example of the use of this technique with regard to a simple tactical vignette is presented

    Task analysis for error identification: Theory, method and validation

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    This paper presents the underlying theory of Task Analysis for Error Identification. The aim is to illustrate the development of a method that has been proposed for the evaluation of prototypical designs from the perspective of predicting human error. The paper presents the method applied to representative examples. The methodology is considered in terms of the various validation studies that have been conducted, and is discussed in the light of a specific case study

    Lessons learnt from the deployment of a semantic virtual research environment

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    The ourSpaces Virtual Research Environment makes use of Semantic Web technologies to create a platform to support multi-disciplinary research groups. This paper introduces the main semantic components of the system: a framework to capture the provenance of the research process, a collection of services to create and visualise metadata and a policy reasoning service. We also describe different approaches to authoring and accessing metadata within the VRE. Using evidence gathered from data provided by the users of the system we discuss the lessons learnt from deployment with three case study groups

    The State of the Region: Hampton Roads 2005

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    This is Old Dominion University\u27s Sixth Annual State of the Region Report. While it represents the work of many people connected in various ways to the university, the report does not constitute an official viewpoint of Old Dominion, or it\u27s president, Roseann Runte. The report maintains the goal of stimulating thought and discussion that ultimately will make Hampton Roads an even better place to live. We are proud of our region\u27s many successes, but realize that it is possible to improve our performance. In order to do so, we must have accurate information about where we are and a sound understanding of the policy options open to us.https://digitalcommons.odu.edu/economics_books/1013/thumbnail.jp

    The State of the Region: Hampton Roads 2004

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    This is Old Dominion University\u27s fifth annual State of the Region report. While it represents the work of many people connected in various ways to the university, the report does not constitute an official viewpoint of Old Dominion, or it\u27s president, Dr. Roseann Runte. The report maintains the goal of stimulating thought and discussion that ultimately will make Hampton Roads an even better place to live. We are proud of our region\u27s many successes, but realize that it is possible to improve our performance. In order to do so, we must have accurate information about where we are and a sound understanding of the policy options open to us.https://digitalcommons.odu.edu/economics_books/1014/thumbnail.jp

    Mortality after infection with methicillin-resistant Staphylococcus aureus (MRSA) diagnosed in the community

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    <p>Abstract</p> <p>Background</p> <p>Outbreak reports suggest that community-acquired methicillin-resistant <it>Staphylococcus aureus </it>(MRSA) infections can be life-threatening. We conducted a population based cohort study to assess the magnitude of mortality associated with MRSA infections diagnosed in the community.</p> <p>Methods</p> <p>We used the United Kingdom's General Practice Research Database (GPRD) to form a cohort of all patients with MRSA diagnosed in the community from 2001 through 2004 and up to ten patients without an MRSA diagnosis. The latter were frequency-matched with the MRSA patients on age, GPRD practice and diagnosis date. All patients were older than 18 years, had no hospitalization in the 2 years prior to cohort entry and medical history information of at least 2 years prior to cohort entry. The cohort was followed up for 1 year and all deaths and hospitalizations were identified. Hazard ratios of all-cause mortality were estimated using the Cox proportional hazards model adjusted for patient characteristics.</p> <p>Results</p> <p>The cohort included 1439 patients diagnosed with MRSA and 14,090 patients with no MRSA diagnosis. Mean age at cohort entry was 70 years in both groups, while co-morbid conditions were more prevalent in the patients with MRSA. Within 1 year, 21.8% of MRSA patients died as compared with 5.0% of non-MRSA patients. The risk of death was increased in patients diagnosed with MRSA in the community (adjusted hazard ratio 4.1; 95% confidence interval: 3.5–4.7).</p> <p>Conclusion</p> <p>MRSA infections diagnosed in the community are associated with significant mortality in the year after diagnosis.</p

    The role of administrative data in the big data revolution in social science research

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    The term big data is currently a buzzword in social science, however its precise meaning is ambiguous. In this paper we focus on administrative data which is a distinctive form of big data. Exciting new opportunities for social science research will be afforded by new administrative data resources, but these are currently under appreciated by the research community. The central aim of this paper is to discuss the challenges associated with administrative data. We emphasise that it is critical for researchers to carefully consider how administrative data has been produced. We conclude that administrative datasets have the potential to contribute to the development of high-quality and impactful social science research, and should not be overlooked in the emerging field of big data
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