4,656 research outputs found

    CentrePiece Vol. 8 No. 3

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    One Jefferson News September 2017

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    Over the past three years, we have embarked on an exciting journey of reimagining a new model for health and education to create One Jefferson. Our first step was to bring together Thomas Jefferson University and Thomas Jefferson University Hospital. We continued along this journey by welcoming Abington Health and Aria Health, and combining Philadelphia University and Thomas Jefferson University. Recently, we also welcomed Kennedy Health to the Jefferson Health family. As the process of coming together – becoming one – continues to produce a growing number of integration successes for the organization, we are expanding communication efforts with this “One Jefferson” electronic newsletter. Emailed to all staff, the One Jefferson News update – through stories and images - will share how we are working together to fulfill our mission of improving lives in the communities we serve across the region. During this exciting time of rapid organizational evolution, we recognize the importance of frequent communications and celebrating the great things being accomplished by our talented team. If you have questions or ideas, we welcome you to email [email protected]. The account is actively monitored and we look forward to responding to you. Thank you for your interest and all you do each day to support the One Jefferson journey. This issue includes: Supply Chain/Purchased Services-Operational Initiative Update GE Healthcare Welcomes Jefferson Biomedical and Imaging Service Staffhttps://jdc.jefferson.edu/onejeffnews/1000/thumbnail.jp

    CentrePiece Vol. 12 No. 1

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    One Jefferson News October 2017

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    Over the past month, we have continued our One Jefferson journey and achieved a number of integration successes for the organization as well as our patient and student communities. In this issue of One Jefferson News, we invite you to join us in celebrating the recent addition of Kennedy to Jefferson Health and a new college structure for Jefferson (Philadelphia University + Thomas Jefferson University) set to launch in 2018. During this time of continued organizational evolution, we recognize the importance of frequent communications and celebrating the many accomplishments of our talented team. If you have questions or ideas, we welcome you to email [email protected]. Thanks to all who have reached out to us with great input in support of the One Jefferson journey. We look forward to providing continued feedback and engaging in active dialogue. This issue includes: Jefferson and Kennedy Become One New College Structure at TJU Launches in 2018https://jdc.jefferson.edu/onejeffnews/1001/thumbnail.jp

    One Jefferson News February 2018

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    Over the past year, we have continued our One Jefferson journey and achieved a number of integration successes for the organization. In the attached, new issue of One Jefferson News, we celebrate strides being made by collaborative teams working on evolving the Physician Enterprise, Access, Supply Chain, and System Integration initiatives. This issue includes: Changing the Way We Drive Enhanced Performance Collaborative Teams Accelerating Outcomeshttps://jdc.jefferson.edu/onejeffnews/1002/thumbnail.jp

    CentrePiece Vol. 15 No. 2

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    CentrePiece Vol. 4 No. 2

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    CentrePiece Vol. 15 No. 3

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    Using Bad Learners to find Good Configurations

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    Finding the optimally performing configuration of a software system for a given setting is often challenging. Recent approaches address this challenge by learning performance models based on a sample set of configurations. However, building an accurate performance model can be very expensive (and is often infeasible in practice). The central insight of this paper is that exact performance values (e.g. the response time of a software system) are not required to rank configurations and to identify the optimal one. As shown by our experiments, models that are cheap to learn but inaccurate (with respect to the difference between actual and predicted performance) can still be used rank configurations and hence find the optimal configuration. This novel \emph{rank-based approach} allows us to significantly reduce the cost (in terms of number of measurements of sample configuration) as well as the time required to build models. We evaluate our approach with 21 scenarios based on 9 software systems and demonstrate that our approach is beneficial in 16 scenarios; for the remaining 5 scenarios, an accurate model can be built by using very few samples anyway, without the need for a rank-based approach.Comment: 11 pages, 11 figure

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