973 resultados para Environmental safety


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The Commission on Patient Safety and Quality Assurance was established in January 2007 and reported to the Minister in July 2008. The report was considered by government in January 2009 which agreed the implementation process. The overall objective of the Commission was to develop clear and practical recommendations to ensure that safety and quality of care for patients is paramount within the healthcare system. The Commission’s report set out a wide range of policy measures that will drive the safety and quality agenda in Irish healthcare in the coming years. The establishment of the Commission was prompted by an increasing awareness of patient safety issues in general and high profile health service system failures at home and abroad and in particular by the Lourdes Hospital Inquiry. These have underlined the need for an increased focus on patient safety and quality. Download document here Download summary document on the Report

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First Quarterly Progress Report of the Implementation Steering Group on recommendations of the Report of the Commission on Patient Safety and Quality Assurance Click here to download PDF 56kb

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Final Report of the Implementation Steering Group (ISG) on the recommendations of the Report of the Commission on Patient Safety and Quality Assurance Click here to download PDF 235KB

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This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

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Over the past 50 years organ transplantation has become an established worldwide practice, bringing immense benefits to hundreds of thousands of patients. The use of human organs (hereinafter â?~organsâ?T) for transplantation has steadily increased during the last two decades. Organ transplantation is now the most cost-effective treatment for end-stage renal failure, while for end-stage failure of organs such as the liver, lung and heart it is the only available treatment. Click here to download PDF 806kb You can read a summary of the document here

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The Department carried out a review during 2012 on FSPB’s work in the food safety, diet and nutrition areas. This review, approved by the Minister on 25 January 2013, provides a summary of the responses received and recommendations made. Click here to download   PDF 63KB  

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Reducing comparative optimism regarding risk perceptions in traffic accidents has been proven to be particularly difficult (Delhomme, 2000). This is unfortunate because comparative optimism is assumed to impede preventive action. The present study tested whether a road safety training course could reduce drivers' comparative optimism in high control situations. Results show that the training course efficiently reduced comparative optimism in high control, but not in low control situations. Mechanisms underlying this finding and implications for the design of road safety training courses are discussed.

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The incidence of neurodegenerative disease like Parkinson's disease and Alzheimer's disease (AD) increases dramatically with age; only a small percentage is directly related to familial forms. The etiology of the most abundant, sporadic forms is complex and multifactorial, involving both genetic and environmental factors. Several environmental pollutants have been associated with neurodegenerative disorders. The present article focuses on results obtained in experimental neurotoxicology studies that indicate a potential pathogenic role of lead and mercury in the development of neurodegenerative diseases. Both heavy metals have been shown to interfere with a multitude of intracellular targets, thereby contributing to several pathogenic processes typical of neurodegenerative disorders, including mitochondrial dysfunction, oxidative stress, deregulation of protein turnover, and brain inflammation. Exposure to heavy metals early in development can precondition the brain for developing a neurodegenerative disease later in life. Alternatively, heavy metals can exert their adverse effects through acute neurotoxicity or through slow accumulation during prolonged periods of life. The pro-oxidant effects of heavy metals can exacerbate the age-related increase in oxidative stress that is related to the decline of the antioxidant defense systems. Brain inflammatory reactions also generate oxidative stress. Chronic inflammation can contribute to the formation of the senile plaques that are typical for AD. In accord with this view, nonsteroidal anti-inflammatory drugs and antioxidants suppress early pathogenic processes leading to Alzheimer's disease, thus decreasing the risk of developing the disease. The effects of lead and mercury were also tested in aggregating brain-cell cultures of fetal rat telencephalon, a three-dimensional brain-cell culture system. The continuous application for 10 to 50 days of non-cytotoxic concentrations of heavy metals resulted in their accumulation in brain cells and the occurrence of delayed toxic effects. When applied at non-toxic concentrations, methylmercury, the most common environmental form of mercury, becomes neurotoxic under pro-oxidant conditions. Furthermore, lead and mercury induce glial cell reactivity, a hallmark of brain inflammation. Both mercury and lead increase the expression of the amyloid precursor protein; mercury also stimulates the formation of insoluble beta-amyloid, which plays a crucial role in the pathogenesis of AD and causes oxidative stress and neurotoxicity in vitro. Taken together, a considerable body of evidence suggests that the heavy metals lead and mercury contribute to the etiology of neurodegenerative diseases and emphasizes the importance of taking preventive measures in this regard.

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This is the report of the interagency Outbreak Control Team (OCT) of an investigation of an outbreak of listeriosis which occurred during May to November 2008 in the Belfast Health and Social Care Trust. The report describes the chronology of the outbreak and the outcome of epidemiological, environmental health and microbiological investigations. The report concludes with recommendations for public health, Trusts, the Department of Health and Social Services and Public Safety, the Food Standards Agency, and those responsible for hospital food procurement.

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In our society, accidents constitute a major public health problem, especially among youth. The objective of this paper was to describe the incidence of nonfatal injuries that required medical care among 16 to 20 year-old in Switzerland, its distribution by type of injury and whether there were differences by gender or by academic track and whether these injuries had sequels (hospitalisation, physical and psychological sequels). Overall, 28.3% of the sample reported at least one accident needing medical care in the previous 12 months, with males having more accidents than females and apprentices more than students. By type of accident, sports were the most frequently reported, followed by traffic, leisure time and work accidents. Half of males and one-third of females reported more than one accident, and 16% and 8% of them, respectively, reported four or more. Both physical and psychological sequels were more frequent among females, while hospitalisation was more frequent among males. Accident prevalence rates remain high among adolescents. Safety counselling and environmental measures need to be implemented.