929 resultados para Planning with Resources


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Embarcarse en la aventura de componer una ópera y llegar a materializarla con los mínimos recursos requiere de mucha imaginación e ilusión, de un trabajo constante y meditado, de un buen equipo de colaboradores, de fe ciega en que todo acabará funcionando y de lo más básico: un buen libreto. La serva padrona de Pergolesi nos demuestra cómo una historia sencilla y de recursos austeros puede llegar a ser tan tremendamente fresca, divertida y entretenida. Este intermezzo representará el punto de partida de una creación en la que la escena teatral y el discurso musical se fundirán de manera indivisible. Al fin y al cabo, la creación de una ópera supone asimilar desde buen principio que en ella convergen diferentes artes de índole muy diversa. Conseguir trabajar dentro de este marco de encuentro multidisciplinar es un privilegio que, sin duda, se debe aprovechar.

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Fuel poverty is a significant threat to public health with its links to heart disease, respiratory illness and mental health. People on low incomes are most likely to live in fuel poverty. The Fuel Poverty Strategy, which was launched 23 November, 2004, needed to be adequately resourced to help reduce the devastating effects of health inequalities in our society, according to the Institute of Public Health in Ireland. The Institute of Public Health recently completed research which showed that locally based projects are an effective way of improving the energy efficiency of homes. The findings from the research conducted by the Institute of Public Health showed that local fuel poverty interventions can reduce fuel poverty and improve health: - The energy efficiency of homes were significantly improved - There was a statistically significant increase in levels of benefit uptake - People reported spending less on fuel after intervention - There were significant reductions in the presence of condensation, mould and damp, which is where we have the strongest evidence of links to ill-health - There was a significant reduction in the number of illnesses (associated with fuel poverty) reported by those who received the heating conversion and insulation - People reported reductions in the use of health services after intervention

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In 2004 an interagency team consisting of members the North Western Health Board and Donegal County Council commissioned the IPH to conduct a HIA screening exercise on planning policy in Donegal. This involved an overview of literature, analysis of policy documents, contact with Planning Officers and observation of public consultation meetings. Following completion of the final report, the intention is to produce a user-friendly template to enable planners to incorporate a health dimension into their decision making.

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In 2011, the National Energy Retrofit Programme will build upon existing energy saving programmes in both the domestic and non-domestic sectors.  This consultation focused on key design considerations.  IPH agree with the commitment to deliver a National Energy Retrofit Programme as a sustainable means of securing energy savings and reducing energy poverty and the nations carbon footprint.  The IPH response highlighted the significant benefit to health and would support the use of Health Impact Assessment

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IPH welcomes the Planning Policy Statement 18 Renewable Energy (PPS18) and the opportunity to comment on the publication.  IPH applies a holistic model of health which emphasises a wide range of social determinants, including economic, environmental, social and biological factors. IPH considers that the health impacts of renewable energy should be considered as part of PPS18. We wish to make the following general observations in relation to the Proposed Plan:  IPH welcomes the sustainable approach by the Department of the Environment to encourage and facilitate the provision of renewal energy in Northern Ireland. PPS18 can support the move to reduce pollutants entering the environment. However there is a need to consider wider public health concerns in the adoption of PPS18. Encouraging renewable energy (while balancing this with environmental and conservation concerns) will benefit health locally, and on a global scale. Climate change has been identified as one of the most important public health challenges of the 21st Century and therefore any policy which seeks to address this major issue is welcomed.

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The purpose of this policy is to introduce a transparent approach to making best use of resources in plastic surgery and related specialties. It was finalised after a formal Public Consultation that included distribution of the Consultation Document to a range of organisations and individuals, meetings with Board representatives as requested and press releases in local and regional media outlets. All responses to the Consultation were considered carefully in developing this final policy. åÊ åÊ

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This prospective study applies an extended Information-Motivation-Behavioural Skills (IMB) model to establish predictors of HIV-protection behaviour among HIV-positive men who have sex with men (MSM) during sex with casual partners. Data have been collected from anonymous, self-administered questionnaires and analysed by using descriptive and backward elimination regression analyses. In a sample of 165 HIV-positive MSM, 82 participants between the ages of 23 and 78 (M=46.4, SD=9.0) had sex with casual partners during the three-month period under investigation. About 62% (n=51) have always used a condom when having sex with casual partners. From the original IMB model, only subjective norm predicted condom use. More important predictors that increased condom use were low consumption of psychotropics, high satisfaction with sexuality, numerous changes in sexual behaviour after diagnosis, low social support from friends, alcohol use before sex and habitualised condom use with casual partner(s). The explanatory power of the calculated regression model was 49% (p<0.001). The study reveals the importance of personal and social resources and of routines for condom use, and provides information for the research-based conceptualisation of prevention offers addressing especially people living with HIV ("positive prevention").

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Water resources management, as also water service provision projects in developing countries have difficulties to take adequate decisions due to scarce reliable information, and a lack of proper information managing. Some appropriate tools need to be developed in order to improve decision making to improve water management and access of the poorest, through the design of Decision Support Systems (DSS). On the one side, a DSS for developing co-operation projects on water access improvement has been developed. Such a tool has specific context constrains (structure of the system, software requirements) and needs (Logical Framework Approach monitoring, organizational-learning, accountability and evaluation) that shall be considered for its design. Key aspects for its successful implementation have appeared to be a participatory design of the system and support of the managerial positions at the inception phase. A case study in Tanzania was conducted, together with the Spanish NGO ONGAWA – Ingeniería para el Desarrollo. On the other side, DSS are required also to improve decision making on water management resources in order to achieve a sustainable development that not only improves the living conditions of the population in developing countries, but that also does not hinder opportunities of the poorest on those context. A DSS made to fulfil these requirements shall be using information from water resources modelling, as also on the environment and the social context. Through the research, a case study has been conducted in the Central Rift Valley of Ethiopia, an endhorreic basin 160 km south of Addis Ababa. There, water has been modelled using ArcSWAT, a physically based model which can assess the impact of land management practices on large complex watersheds with varying soils, land use and management conditions over long periods of time. Moreover, governance on water and environment as also the socioeconomic context have been studied.

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The Nursing and Midwifery Resource – Towards Workforce Planning The past five years have seen a dramatic change in the composition and organisation of the nursing and midwifery workforce in Ireland. For many years we had a constant supply of newly qualified nurses and midwives, with strong competition for every available post. Click here to download PDF 1.5mb

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The National Council on Ageing and Older People has undertaken a programme of research into dementia in Ireland. An Action Plan for Dementia provided a framework for the provision and planning of services for people with dementia in Ireland The Costs of Caring for People with Dementia and Related Cognitive Impairments is a complementary report to the Action Plan but with a more quantitative focus. The role of carers is one that is often taken for granted and is seen by many as a free resource. Dr Oâ?TShea explores what caring for a person with dementia entails in terms of the carers time, finances and stress. Evaluating the cost of caring for a person with dementia is the main focus of this study Download the Report here

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Ecological changes from water resources development projects often affect the epidemiology of water-associated diseases. In order to investigate the occurrence and distribution of freshwater snails of medical and veterinary importance in the area of influence of the Serra da Mesa Hydroelectric a survey has been performed since 1997 and revealed the occurrence of well-established populations of Biomphalaria straminea (Dunker, 1848) in the 8 municipalities surrounding the lake. Areas of epidemiologic risk for schistosomiasis were selected and studies of parasite-mollusc compatibility were undertaken using specimens from 19 populations of B. straminea and 3 strains (CM, EC and PB) originally isolated from B. straminea. Among 1,135 specimens used 15 became infected (infection index of 1.3%) and 8 populations were susceptible to the schistosome strains: B. straminea from Campinorte (Castelão, susceptible to CM and EC strains, and Planeta Água, EC strain), Colinas (Tocantinzinho river, CM and EC strains), Minaçu (Canabrava river, EC strain), Niquelândia (Codemin, CM and PB strains, and Almas river, CM strain), Uruaçu (touristic area, PB strain) and Santa Rita do Novo Destino (Maranhão river, CM and EC strains). These results, associated with marked social and ecological changes occurred, strongly suggest the possibility of B. straminea coming to act as a vector of schistosomiasis in the studied area.

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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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The Department has produced a series of information sheets for doctors,nurses, those delivering personal health budgets, allied health professionals, health trainers and anyone supporting individuals with long term conditions. The information sheets cover a range of topics including care planning, care co-ordination, managing need and assessment of risk, motivating people to self care, goal setting and action planning and end of life care.Download information sheet 1: Personalised care planning (PDF, 2514K)Download information sheet 2: Personalised care planning diagram (PDF, 2213K)Download information sheet 3: Care co-ordination (PDF, 1967K.

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As a contribution to the public health authorities in planning prophylactic and therapeutic vaccine strategies, we describe the prevalence of human papillomavirus (HPV) types in women presenting abnormal cytological results in Pap smear screening tests in the Federal District, Central Brazil. We studied 129 cervical scraping samples from women whose cytological tests showed either pre-neoplastic or neoplastic lesions. Amplification of HPV DNA was performed by polymerase chain reaction using consensus primers MY09 and MY11 followed by identification of isolates by restriction fragment length polymorphism. We detected HPV DNA in 62% of the samples, including HPV-16 in 43.8%, HPV-58 in 12.5%, HPV-31 in 10%, HPV-53 in 6.3%, each of HPV-18 and HPV-33 in 3.8% of the isolates. Other types (HPV-35, -52, -66, -CP8304, -6, -11, and -CP8061) were less frequent (= or < 2.5% each). The prevalence of HPV-58 was relatively higher in this population than in data in South America, but similar to results obtained in other studies in Latin America, Europe, and Eastern Asia. Case-control studies need to be carried out to establish the association between the prevalence of HPV types specially the less frequent high-risk types and cervical cancer.