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Now showing items 1 - 16 of 2408


    Moralee, Jason   Moe, Kiel  

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  • Market, Class and Employment – By P. McGovern, S. Hill, C. Mills and M. White

    Paul Blyton  

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    FINNEY, G  

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  • Design and construction of the MicroBooNE Cosmic Ray Tagger system

    Adams, C.   Alrashed, M.   An, R.   Anthony, J.   Asaadi, J.   Ashkenazi, A.   Auger, M.   Balasubramanian, S.   Baller, B.   Barnes, C.   Barr, G.   Bass, M.   Bay, F.   Bhat, A.   Bhattacharya, K.   Bishai, M.   Blake, A.   Bolton, T.   Camilleri, L.   Caratelli, D.   Terrazas, I. Caro   Carr, R.   Fernandez, R. Castillo   Cavanna, F.   Cerati, G.   Chen, Y.   Church, E.   Cianci, D.   Cohen, E.   Collin, G.H.   Conrad, J.M.   Convery, M.   Cooper-Troendle, L.   Crespo-Anadón, J.I.   Tutto, M. Del   Devitt, D.   Diaz, A.   Duffy, K.   Dytman, S.   Eberly, B.   Ereditato, A.   Sanchez, L. Escudero   Esquivel, J.   Evans, J. J   Fadeeva, A.A.   Fitzpatrick, R.S.   Fleming, B.T.   Franco, D.   Furmanski, A.P.   Garcia-Gamez, D.   Garvey, G.T.   Genty, V.   Goeldi, D.   Gollapinni, S.   Goodwin, O.   Gramellini, E.   Greenlee, H.   Grosso, R.   Guenette, R.   Guzowski, P.   Hackenburg, A.   Hamilton, P.   Hen, O.   Hewes, J.   Hill, C.   Horton-Smith, G.A.   Hourlier, A.   Huang, E.-C.   James, C.   de Vries, J. Jan   Jiang, L.   Johnson, R.A.   Joshi, J.   Jostlein, H.   Jwa, Y.-J.   Karagiorgi, G.   Ketchum, W.   Kirby, B.   Kirby, M.   Kobilarcik, T.   Kreslo, I.   Li, Y.   Lister, A.   Littlejohn, B.R.   Lockwitz, S.   Lorca, D.   Louis, W.C.   Luethi, M.   Lundberg, B.   Luo, X.   Marchionni, A.   Marcocci, S.   Mariani, C.   Marshall, J.   Martin-Albo, J.   Caicedo, D.A. Martinez   Mastbaum, A.   Meddage, V.   Mettler, T.   Mills, G.B.   Mistry, K.   Mogan, A.   Moon, J.   Mooney, M.   Moore, C.D.   Mousseau, J.   Murphy, M.   Murrells, R.   Naples, D.   Nienaber, P.   Nowak, J.   Palamara, O.   Pandey, V.   Paolone, V.   Papadopoulou, A.   Papavassiliou, V.   Pate, S.F.   Pavlovic, Z.   Piasetzky, E.   Porzio, D.   Pulliam, G.   Qian, X.   Raaf, J.L.   Rafique, A.   Rochester, L.   Ross-Lonergan, M.   Rohr, C. Rudolf von   Russell, B.   Schmitz, D.W.   Schukraft, A.   Seligman, W.   Shaevitz, M.H.   Sharankova, R.   Sinclair, J.   Smith, A.   Snider, E.L.   Soderberg, M.   Söldner-Rembold, S.   Soleti, S.R.   Spentzouris, P.   Spitz, J.   John, J. St.   Strauss, T.   Sutton, K.   Sword-Fehlberg, S.  

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    Merriman, T.   Topless, R.   Day, R.   Kannangara, D.   Williams, K.   Bradbury, L.   Brown, M.   Harrison, A.   Hill, C.   Jones, G.   Lester, S.   Littlejohn, G.   Rischmueller, M.   Shenstone, B.   Smith, M.   Andres, M.   Bardin, T.   Doherty, M.   Janssen, M.   Jansen, T.   Joosten, L.   Perez-Ruiz, F.   Radstake, T.   Riches, P.   Roddy, E.   Tausche, A. -K.   Stamp, L.   Dalbeth, N.   Liote, F.   So, A.   Rasheed, H.  

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  • Mammography image assessment; validity and reliability of current scheme

    Hill, C.   Robinson, L.  

    Highlights • Currently no robust evidence based marking tools in use for the assessment of images in mammography. • Is current system valid, reliable and robust? • How can the current image assessment tool be improved? • Should students and qualified mammographers use the same tool? • What marking criteria are available for image assessment? Abstract Mammographers currently score their own images according to criteria set out by Regional Quality Assurance. The criteria used are based on the ‘Perfect, Good, Moderate, Inadequate’ (PGMI) marking criteria established by the National Health Service Breast Screening Programme (NHSBSP) in their Quality Assurance Guidelines of 20061. This document discusses the validity and reliability of the current mammography image assessment scheme. Commencing with a critical review of the literature this document sets out to highlight problems with the national approach to the use of marking schemes. The findings suggest that ‘PGMI’ scheme is flawed in terms of reliability and validity and is not universally applied across the UK. There also appear to be differences in schemes used by trainees and qualified mammographers. Initial recommendations are to be made in collaboration with colleagues within the National Health Service Breast Screening Programme (NHSBSP), Higher Education Centres, College of Radiographers and the Royal College of Radiologists in order to identify a mammography image appraisal scheme that is fit for purpose.
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  • The use of fish oil in the community: results of a population-based study

    Hill, C.   Gill, T. K.   Appleton, S.   Cleland, L. G.   Taylor, A. W.   Adams, R. J.  

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  • Development of an osteogenesis imperfecta (OI) specific quality of life measure (OIQoL)

    Hill, C.   Baird, W.   Walters, S.  

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  • Sphenoid mucocele: a rare cause of ocular dysfunction

    Hill, C.   Kumar, G.   Virk, J. S.   Owa, A.   Kaddour, H.  

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  • Wood Composites || Environmental impacts of wood composites and legislative obligations

    Hill, C.  

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  • 1421 Cancer du sein : epidemiologie, facteurs et evaluation du risque

    Hill, C.   This, P.   Doyon, F.  

    Objectifs pédagogiques Connaître la fréquence du cancer du sein.Définir risque relatif et risque absolu.Connaître les facteurs de risque de cancer du sein.Savoir évaluer le risque de cancer du sein chez une patiente.Connaître la fréquence du cancer du sein en France.Comprendre les difficultés à mesurer un risque : savoir la différence entre risque absolu et risque relatif, savoir qu’il faut toujours préciser la durée sur laquelle on évalue le risque.Connaître les facteurs de risque du cancer du sein et savoir par combien ils multiplient le risque.Avoir compris les enjeux de la détermination du risque individuel du cancer du sein (adaptation de la surveillance, aide à la décision (ex. du THS de la ménopause, chirurgie prophylactique).Connaître les facteurs cliniques pertinents pour déterminer le niveau de risque en pratique, pour une patiente : âge, antécédents chirurgicaux (HCA, néoplasie lobulaire in situ, antécédents familiaux de cancer du sein ou de l’ovaire, autres facteurs de risque).Connaître les indications et les modalités des consultations d’oncogénétique.Savoir distinguer les femmes à très haut risque génétique et les femmes à risque familial.Connaître l’existence des tables de déterminations du risque (tables de Claus) et des modèles disponibles (modèle de Gail ou de Tyrer).
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  • Mental and Physical Health Co-Morbidity in Looked after Children

    Hill, C.   Thompson, M.  

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  • Beyond predictable workflows: Enhancing productivity in artful business processes

    Hill, C.   Yates, R.   Jones, C.   Kogan, S. L.  

    Until now, the greatest productivity gains in business processes have been achieved by formalizing the processes into computer-managed workflows. However, many processes have not yielded to this approach, and in its stead, users have depended on ad hoc collaboration tools, such as e-mail and instant messaging, to coordinate their work. While undeniably useful, these tools are disconnected from process methods and can become overloaded and unproductive. Through use cases, we show that many business people are, of necessity, integrators of information technology (IT), but receive inadequate support from centralized IT. We maintain that productivity will be increased by better enabling users to select and integrate IT services as their needs evolve, promoting a shift that we call the democratization of process. With the organizing principles of activity-centric computing and the arrival of valuable online services and decentralized methods for integrating them into existing applications, such a shift is now becoming technically feasible-a goal that enterprises should pursue.
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  • ?ge en années révolues ou age atteint dans l’année

    Hill, C.   Doyon, F.  

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  • The architecture of the earth system modeling framework

    Hill, C.   DeLuca, C.   Balaji,    Suarez, M.   Da Silva, A.  

    The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard, which defines a component architecture and a support infrastructure, is being developed under open-software practices. Target applications range from operational numerical weather prediction to climate-system change and predictability studies
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