120 resultados para Complementary computing


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Objectives: To estimate the proportion of cancer outpatients who visit a Complementary and Alternative Medicine (CAM) unit that is located within a conventional cancer treatment centre; to compare the characteristics of CAM unit visitors with those of all outpatients; to monitor the demand for 20 CAM therapies delivered by professionals, and the use of the CAM unit for waiting, gathering information and informal support from volunteer staff.

Design: Prospective, observational, over a six month period.

Setting: CAM unit within a NHS cancer treatment centre.

Main outcome measures: Utilisation of the CAM unit for 20 complementary therapies, and for waiting, gathering information, informal support; characteristics of CAM users compared with those of all cancer outpatients attending the cancer centre; predictors of CAM therapy use and frequent use.

Results: 761 (95% of those approached) people were recruited, 498 (65.4%) cancer patients, 202 (26.5%) relatives, 37 (4.8%) friends/carers, 24 (3.2%) staff. Women predominated (n = 560, 73.6%). Of all outpatients attending the cancer centre, 498 (15.8%) visited the CAM unit, 290 (9.2%) accessed therapies. Compared to all outpatients, those visiting the CAM unit were: younger (mean 63.7 vs. 58.4 years), more likely to be female (57.9% vs. 78.7%), have breast (14.8% vs. 51.9%), gynaecological (5.0% vs. 9.1%) cancer, live in local postal district (57.3% vs. 61.6%). Significant predictors of therapy use and frequent visits were being a patient, female, higher education, living closer to the cancer centre.

Conclusions: Despite easy access to CAM therapies, a relatively small number of people regularly used them, whilst a larger number selectively tried a few. The integrated CAM unit meets a demand for information and informal support. The findings inform emerging policy on integrating CAM and conventional cancer treatment to address psychosocial needs of people with cancer. More research is needed on why people do not use integrated CAM services and how charges affect demand. © 2008.

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Multicore computational accelerators such as GPUs are now commodity components for highperformance computing at scale. While such accelerators have been studied in some detail as stand-alone computational engines, their integration in large-scale distributed systems raises new challenges and trade-offs. In this paper, we present an exploration of resource management alternatives for building asymmetric accelerator-based distributed systems. We present these alternatives in the context of a capabilities-aware framework for data-intensive computing, which uses an enhanced implementation of the MapReduce programming model for accelerator-based clusters, compared to the state of the art. The framework can transparently utilize heterogeneous accelerators for deriving high performance with low programming effort. Our work is the first to compare heterogeneous types of accelerators, GPUs and a Cell processors, in the same environment and the first to explore the trade-offs between compute-efficient and control-efficient accelerators on data-intensive systems. Our investigation shows that our framework scales well with the number of different compute nodes. Furthermore, it runs simultaneously on two different types of accelerators, successfully adapts to the resource capabilities, and performs 26.9% better on average than a static execution approach.

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This study assessed access to Complementary and Alternative Medicine (CAM) therapies for people with cancer within the British National Health Service. CAM units were identified through an internet search in 2009. A total of 142 units, providing 62 different therapies, were identified: 105 (74.0%) England; 23 (16.2%) Scotland; 7 (4.9%) each in Wales and Northern Ireland. Most units provide a small number of therapies (median 4, range 1–20), and focus on complementary, rather than alternative approaches. Counselling is the most widely provided therapy (available at 82.4% of identified units), followed by reflexology (62.0%), aromatherapy (59.1%), reiki (43.0%), massage (42.2%). CAM units per million of the population varied between countries (England: 2.2; Wales: 2.3; Scotland: 4.8; Northern Ireland: 5.0), and within countries. Better publicity for CAM units, greater integration of units in conventional cancer treatment centres may help improve access to CAMs.