1,577 research outputs found

    Adaptive regulation, market risk and the cost of capital

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    Hybrid Pixel Detector Development for the Linear Collider Vertex Tracker

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    In order to fully exploit the physics potential of the future high energy e+e- linear collider, a Vertex Tracker able to provide particle track extrapolation with very high resolution is needed. Hybrid Si pixel sensors are an attractive technology due to their fast read-out capabilities and radiation hardness. A novel pixel detector layout with interleaved cells has been developed to improve the single point resolution. Results of the characterisation of the first processed prototypes by electrostatic measurements and charge collection studies are discussed.Comment: 5 pages, 1 figure, to appear in the Proceedings of the 9th Int. Workshop on Vertex Detectors, Lake Michigan MI (USA), September~200

    Characterisation of Hybrid Pixel Detectors with capacitive charge division

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    In order to fully exploit the physics potential of the future high energy e+ e- linear collider, a Vertex Tracker providing high resolution track reconstruction is required. Hybrid pixel sensors are an attractive technology due to their fast read-out capabilities and radiation hardness. A novel pixel detector layout with interleaved cells between the readout nodes has been developed to improve the single point resolution. The results of the characterisation of the first processed prototypes are reported.Comment: 5 pages, 2 figures, presented at LCWS2000, Linear Collider Workshop, October 24-28 2000, Fermi National Accelerator Laboratory, Batavia, Illinois, U.S.A. Proceedings to be published by the American Institute of Physic

    A Pixel Vertex Tracker for the TESLA Detector

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    In order to fully exploit the physics potential of a e+e- linear collider, such as TESLA, a Vertex Tracker providing high resolution track reconstruction is required. Hybrid Silicon pixel sensors are an attractive sensor technology option due to their read-out speed and radiation hardness, favoured in the high rate TESLA environment, but have been so far limited by the achievable single point space resolution. A novel layout of pixel detectors with interleaved cells to improve their spatial resolution is introduced and the results of the characterisation of a first set of test structures are discussed. In this note, a conceptual design of the TESLA Vertex Tracker, based on hybrid pixel sensors is presentedComment: 20 pages, 11 figure

    Jumping over a low hurdle:personal pension fund performance

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    Patient-reported experience and quality of care for people with schizophrenia

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    BACKGROUND: Evidence is mounting that patient-reported experience can provide a valuable indicator of the quality of healthcare services. However, little is known about the relationship between the experiences of people with severe mental illness and the quality of care they receive. We conducted a study to examine the relationship between patient-reported experience and the quality of care provided to people with schizophrenia. METHODS: We calculated a composite global rating of quality of care for people with schizophrenia using data from an audit of 64 mental health providers. We then examined associations between these ratings and mean patient satisfaction and patient-rated outcome using data from a survey of 5608 schizophrenic patients treated in these services. RESULTS: Global rating of quality of care was positively correlated with patient-rated outcome (r = 0.33; p = 0.01) but not with patient satisfaction (r = 0.21, p = 0.10). Patient-rated outcome was also positively correlated with patient involvement (r = 0.26, p = 0.04) and the quality of prescribing practice (r = 0.31, p = 0.02). High patient satisfaction scores were significantly associated with the extent of use of care plans within each organisation (r = 0.27, p = 0.03). CONCLUSIONS: Among people with schizophrenia, patient-rated outcome provides a better guide to the quality of care than patient-rated satisfaction. Greater use of patient-reported outcome measures should be made when assessing the quality of care provided to people with psychosis

    New, emerging and re-emerging fungal diseases on medicinal and aromatic plants in European domain

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    Plant diseases cause agricultural and economic loss and impact negatively on human and animal health through mycotoxins and allergens produced by them. They also have consequences for biodiversity conservation. The pathogens could be classified in five categories: new - detected within the last five years; emerging - have always been present in an area but have grown in importance over the years; re-emerging - have been previously controlled but are once more a major problem associated with chemical resistance or changes in management or cultivars; threatening - not reported or limited in distribution in Europe and chronic-spreading – known for longer than 20 years and causing increased concern. Diseases emerge or re-emerge due to changes in farming practices, development of new strains of the pathogen, climate change, introduction of the pathogen to new geographical locations, or introduction of more efficient pathogen vectors. During the last years emerging infectious diseases (EIDs) are of special concern to researchers. Among all pathogens fungi are responsible for the greatest damage to plants in both agricultural and natural ecosystems. They represent over 70 % of all plant pathogens and over 30 % of plant EIDs. Surveys on fungal diseases of medicinal and aromatic plants have been carried out in the framework of several research projects between Germany, Bulgaria, Lithuania and Poland in the last two decades. EIDs have been reported, either as novel pathogens or as familiar pathogens affecting new host species. The importance of the problem could be illustrated by such examples as some phytopathogenic fungi on Apiaceae and Lamiaceae hosts discussed in the present work
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