24 resultados para 736


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A survey was carried out on the occurrence of dinitrocarbanilide (DNC), the marker residue for nicarbazin, in poultry produced in Ireland during 2002-2004. Liver (n = 736) and breast muscle samples (n = 342) were tested. DNC residues were found in 40 and 26% of liver and breast muscle samples at levels greater than 12.5 and 5 mu g kg(-1), respectively. DNC residues were found at >200 mu g kg(-1) in 12 and 0% of liver and muscle samples, respectively. Samples of breast muscle (n = 217) imported from 11 countries were also tested for DNC residues. A lower incidence of DNC residues (6%) was found in imported breast muscle. Egg samples (n = 546) were tested and DNC residues were found in nine samples, with levels ranging between 14 and 122 mu g kg(-1). Analysis of poultry, carried out as part of official food inspection in the period 2004-2006, indicated a reduction in the number of broiler liver samples containing DNC at >200 mu g kg(-1), to approximately 7%. Low levels of DNC residues continue to be found in

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Prostate cancer is the most commonly diagnosed cancer in men. Evidence suggests that smokers may be at increased risk of prostate cancer compared to non-smokers. In the present study we ask whether adult men who smoke are also less likely to undergo screening for prostate cancer. Adult men aged 46 and above completed a single questionnaire including demographic items and items concerning their smoking status and previous testing for prostate cancer. The questionnaire also included an 11 item numeracy scale. Compared to smokers, non-smokers and ex-smokers were around two times more likely to have undergone screening for prostate cancer, and had been tested more frequently. Smokers are not only more likely to develop prostate cancer, they are, paradoxically, less likely to undergo screening for prostate cancer. Health care professionals need to be cognizant of individual differences in screening behavior and that smokers have a reduced likelihood of choosing to screen. © 2012 Elsevier Ltd.

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Although most people with Parkinson's disease are cared for in the community, little is known about family members' lived experiences of palliative or end-of-life care. The aim of this study was to explore former carers' lived experiences of palliative and end-of-life care. In total, 15 former family caregivers of patients who had died with Parkinson's disease were interviewed using a semi-structured topic list. Findings indicated that some palliative and end-of-life care needs had not been fully addressed. Lack of communication, knowledge and coordination of services resulted in many people caring for someone with Parkinson's disease not accessing specialist palliative care services. Participants also reflected upon the physical and psychological impact of caring in the advanced stage of Parkinson's. A multi-disciplinary team-based approach was advocated by participants. These findings provide important insights into the experience of caregiving to patients with Parkinson's disease in the home at the end-of-life stage. According to palliative care standards, patients and their carers are the unit of care; in reality, however, this standard is not being met.

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There has been a long-standing discussion in the literature as to whether core accretion or disk instability is the dominant mode of planet formation. Over the last decade, several lines of evidence have been presented showing that core accretion is most likely the dominant mechanism for the close-in population of planets probed by radial velocity and transits. However, this does not by itself prove that core accretion is the dominant mode for the total planet population, since disk instability might conceivably produce and retain large numbers of planets in the far-out regions of the disk. If this is a relevant scenario, then the outer massive disks of B-stars should be among the best places for massive planets and brown dwarfs to form and reside. In this study, we present high-contrast imaging of 18 nearby massive stars of which 15 are in the B2-A0 spectral-type range and provide excellent sensitivity to wide companions. By comparing our sensitivities to model predictions of disk instability based on physical criteria for fragmentation and cooling, and using Monte Carlo simulations for orbital distributions, we find that ~85% of such companions should have been detected in our images on average. Given this high degree of completeness, stringent statistical limits can be set from the null-detection result, even with the limited sample size. We find that

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Background: More accurate coronary heart disease (CHD) prediction, specifically in middle-aged men, is needed to reduce the burden of disease more effectively. We hypothesised that a multilocus genetic risk score could refine CHD prediction beyond classic risk scores and obtain more precise risk estimates using a prospective cohort design.

Methods: Using data from nine prospective European cohorts, including 26,221 men, we selected in a case-cohort setting 4,818 healthy men at baseline, and used Cox proportional hazards models to examine associations between CHD and risk scores based on genetic variants representing 13 genomic regions. Over follow-up (range: 5-18 years), 1,736 incident CHD events occurred. Genetic risk scores were validated in men with at least 10 years of follow-up (632 cases, 1361 non-cases). Genetic risk score 1 (GRS1) combined 11 SNPs and two haplotypes, with effect estimates from previous genome-wide association studies. GRS2 combined 11 SNPs plus 4 SNPs from the haplotypes with coefficients estimated from these prospective cohorts using 10-fold cross-validation. Scores were added to a model adjusted for classic risk factors comprising the Framingham risk score and 10-year risks were derived.

Results: Both scores improved net reclassification (NRI) over the Framingham score (7.5%, p = 0.017 for GRS1, 6.5%, p = 0.044 for GRS2) but GRS2 also improved discrimination (c-index improvement 1.11%, p = 0.048). Subgroup analysis on men aged 50-59 (436 cases, 603 non-cases) improved net reclassification for GRS1 (13.8%) and GRS2 (12.5%). Net reclassification improvement remained significant for both scores when family history of CHD was added to the baseline model for this male subgroup improving prediction of early onset CHD events.

Conclusions: Genetic risk scores add precision to risk estimates for CHD and improve prediction beyond classic risk factors, particularly for middle aged men.

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Glucagon-like peptide-1 (GLP-1) is an incretin hormone whose glucose-dependent insulinotropic actions have been harnessed as a novel therapy for glycaemic control in type 2 diabetes. Although it has been known for some time that the GLP-1 receptor is expressed in the cardiovascular system where it mediates important physiological actions, it is only recently that specific cardiovascular effects of GLP-1 in the setting of diabetes have been described. GLP-1 confers indirect benefits in cardiovascular disease (CVD) under both normal and hyperglycaemic conditions via reducing established risk factors, such as hypertension, dyslipidaemia and obesity, which are markedly increased in diabetes. Emerging evidence indicates that GLP-1 also exerts direct effects on specific aspects of diabetic CVD, such as endothelial dysfunction, inflammation, angiogenesis and adverse cardiac remodelling. However, the majority of studies have employed experimental models of diabetic CVD and information on the effects of GLP-1 in the clinical setting are limited although several large-scale trials are ongoing. It is clearly important to gain a detailed knowledge of the cardiovascular actions of GLP-1 in diabetes given the large number of patients currently receiving GLP-1 based therapies. This review will therefore discuss current understanding of the effects of GLP-1 on both cardiovascular risk factors in diabetes and direct actions on the heart and vasculature in this setting, and the evidence implicating specific targeting of GLP-1 as a novel therapy for CVD in diabetes.

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Most special issues on Roma minorities want to alert readers to the devastating consequences of racist public attitudes and misdirected public policy. Here we don't shy away from such issues, but we also want to challenge our own scholarship and ask some fundamental questions about how we, as academics, are approaching such research. In this introduction the context of the special issue is explored, both in terms of the historic backdrop of an expanding European Union and the academic theoretical framework of minority integration. Major critical questioning – such as broader questions around migration, race and ethnicity discourses – are still lacking when it comes to research on or with Roma minorities. Our main aim is to move debates on from continually describing who Roma people are and what they are doing, to questioning: who defines who is Roma, when and why? What happens in policy-making, research, everyday interactions? This approach sees an understanding of recognition, representations and power dynamics as fundamental to understanding the positionings of minorities who can also be marginalised or feel disenfranchised. This introduction to the special issue highlights the importance of deeply conceptualising issues around minority integration alongside empirical knowledge of how Roma identities become implicated in and through different modalities of mobilisation. Contributions to this special issue speak to debates in minority politics and identity studies along with migration and race/ethnicity discourses. This indicates that the experiences of, and discourses surrounding Roma minorities reflect the fundamental concerns of social science research about identity, ethnicity, cohesion and change.

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Demand Side Management (DSM) plays an important role in Smart Grid. It has large scale access points, massive users, heterogeneous infrastructure and dispersive participants. Moreover, cloud computing which is a service model is characterized by resource on-demand, high reliability and large scale integration and so on and the game theory is a useful tool to the dynamic economic phenomena. In this study, a scheme design of cloud + end technology is proposed to solve technical and economic problems of the DSM. The architecture of cloud + end is designed to solve technical problems in the DSM. In particular, a construct model of cloud + end is presented to solve economic problems in the DSM based on game theories. The proposed method is tested on a DSM cloud + end public service system construction in a city of southern China. The results demonstrate the feasibility of these integrated solutions which can provide a reference for the popularization and application of the DSM in china.