1000 resultados para PLANIFICACIÓN REGIONAL - MEDELLÍN(ANTIOQUIA)
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A Consultation Paper
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Regional Transport Services Strategy
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Regional Advisory Committee on Cancer - Report on Oesophageal Cancer 2000 (pdf 4000Kb)
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The Regional Advisory Committee on Cancer (RACC) was established in 1997 to carry forward the recommendations of the 1996 Campbell Report and to provide advice to the Department of Health, Social Services and Public Safety on the future development of cancer services. (Appendix 1) The 27 members of RACC come from the Health and Social Services Councils (which represent the interests of the public), Trusts, Boards, primary care and the Department. Members are listed in Appendix 2 RACC held its first meeting in June 1997 and has continued to meet twice a year since then. The Northern Ireland Cancer Forum was established in 1999 and is a subgroup of RACC. It was recommended that a Forum should be developed to provide meeting point for all voluntary and statutory bodies dealing with cancer in Northern Ireland. The Forum has now met on seven occasions and continues to work well with a unity of purpose. åÊ åÊ
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There is already a good infrastructure for the management of endocrine cancer in Northern Ireland but to develop and strengthen it we recommend the following: • Increasing the already close cooperation between the individual parts of the service for endocrine cancer by use of shared protocols for assessment and follow up: • The main hub of management should remain at the RGH focussed on The Regional Centre for Endocrinology and Diabetes and the Endocrine Surgery department where there has been a long-term interest in the management of these patients. This includes a close working relationship between the endocrinologists and surgeon at the Belfast City Hospital. • This does not suggest that current developments of shared follow-up should not be encouraged. They should but with the provision of adequately resourced registers to allow adequate audit and to ensure adequate assessment of follow-up attendance. The issues regarding informed consent for such registers are currently being discussed for all forms of cancer. In the rarer conditions follow-up should remain central to allow adequate numbers and experience to maintain internationally recognisable outcomes and to allow training of future specialists to continue åÊ
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Des progrès significatifs ont été réalisés dans le domaine de l'intégration quantitative des données géophysique et hydrologique l'échelle locale. Cependant, l'extension à de plus grandes échelles des approches correspondantes constitue encore un défi majeur. Il est néanmoins extrêmement important de relever ce défi pour développer des modèles fiables de flux des eaux souterraines et de transport de contaminant. Pour résoudre ce problème, j'ai développé une technique d'intégration des données hydrogéophysiques basée sur une procédure bayésienne de simulation séquentielle en deux étapes. Cette procédure vise des problèmes à plus grande échelle. L'objectif est de simuler la distribution d'un paramètre hydraulique cible à partir, d'une part, de mesures d'un paramètre géophysique pertinent qui couvrent l'espace de manière exhaustive, mais avec une faible résolution (spatiale) et, d'autre part, de mesures locales de très haute résolution des mêmes paramètres géophysique et hydraulique. Pour cela, mon algorithme lie dans un premier temps les données géophysiques de faible et de haute résolution à travers une procédure de réduction déchelle. Les données géophysiques régionales réduites sont ensuite reliées au champ du paramètre hydraulique à haute résolution. J'illustre d'abord l'application de cette nouvelle approche dintégration des données à une base de données synthétiques réaliste. Celle-ci est constituée de mesures de conductivité hydraulique et électrique de haute résolution réalisées dans les mêmes forages ainsi que destimations des conductivités électriques obtenues à partir de mesures de tomographic de résistivité électrique (ERT) sur l'ensemble de l'espace. Ces dernières mesures ont une faible résolution spatiale. La viabilité globale de cette méthode est testée en effectuant les simulations de flux et de transport au travers du modèle original du champ de conductivité hydraulique ainsi que du modèle simulé. Les simulations sont alors comparées. Les résultats obtenus indiquent que la procédure dintégration des données proposée permet d'obtenir des estimations de la conductivité en adéquation avec la structure à grande échelle ainsi que des predictions fiables des caractéristiques de transports sur des distances de moyenne à grande échelle. Les résultats correspondant au scénario de terrain indiquent que l'approche d'intégration des données nouvellement mise au point est capable d'appréhender correctement les hétérogénéitées à petite échelle aussi bien que les tendances à gande échelle du champ hydraulique prévalent. Les résultats montrent également une flexibilté remarquable et une robustesse de cette nouvelle approche dintégration des données. De ce fait, elle est susceptible d'être appliquée à un large éventail de données géophysiques et hydrologiques, à toutes les gammes déchelles. Dans la deuxième partie de ma thèse, j'évalue en détail la viabilité du réechantillonnage geostatique séquentiel comme mécanisme de proposition pour les méthodes Markov Chain Monte Carlo (MCMC) appliquées à des probmes inverses géophysiques et hydrologiques de grande dimension . L'objectif est de permettre une quantification plus précise et plus réaliste des incertitudes associées aux modèles obtenus. En considérant une série dexemples de tomographic radar puits à puits, j'étudie deux classes de stratégies de rééchantillonnage spatial en considérant leur habilité à générer efficacement et précisément des réalisations de la distribution postérieure bayésienne. Les résultats obtenus montrent que, malgré sa popularité, le réechantillonnage séquentiel est plutôt inefficace à générer des échantillons postérieurs indépendants pour des études de cas synthétiques réalistes, notamment pour le cas assez communs et importants où il existe de fortes corrélations spatiales entre le modèle et les paramètres. Pour résoudre ce problème, j'ai développé un nouvelle approche de perturbation basée sur une déformation progressive. Cette approche est flexible en ce qui concerne le nombre de paramètres du modèle et lintensité de la perturbation. Par rapport au rééchantillonage séquentiel, cette nouvelle approche s'avère être très efficace pour diminuer le nombre requis d'itérations pour générer des échantillons indépendants à partir de la distribution postérieure bayésienne. - Significant progress has been made with regard to the quantitative integration of geophysical and hydrological data at the local scale. However, extending corresponding approaches beyond the local scale still represents a major challenge, yet is critically important for the development of reliable groundwater flow and contaminant transport models. To address this issue, I have developed a hydrogeophysical data integration technique based on a two-step Bayesian sequential simulation procedure that is specifically targeted towards larger-scale problems. The objective is to simulate the distribution of a target hydraulic parameter based on spatially exhaustive, but poorly resolved, measurements of a pertinent geophysical parameter and locally highly resolved, but spatially sparse, measurements of the considered geophysical and hydraulic parameters. To this end, my algorithm links the low- and high-resolution geophysical data via a downscaling procedure before relating the downscaled regional-scale geophysical data to the high-resolution hydraulic parameter field. I first illustrate the application of this novel data integration approach to a realistic synthetic database consisting of collocated high-resolution borehole measurements of the hydraulic and electrical conductivities and spatially exhaustive, low-resolution electrical conductivity estimates obtained from electrical resistivity tomography (ERT). The overall viability of this method is tested and verified by performing and comparing flow and transport simulations through the original and simulated hydraulic conductivity fields. The corresponding results indicate that the proposed data integration procedure does indeed allow for obtaining faithful estimates of the larger-scale hydraulic conductivity structure and reliable predictions of the transport characteristics over medium- to regional-scale distances. The approach is then applied to a corresponding field scenario consisting of collocated high- resolution measurements of the electrical conductivity, as measured using a cone penetrometer testing (CPT) system, and the hydraulic conductivity, as estimated from electromagnetic flowmeter and slug test measurements, in combination with spatially exhaustive low-resolution electrical conductivity estimates obtained from surface-based electrical resistivity tomography (ERT). The corresponding results indicate that the newly developed data integration approach is indeed capable of adequately capturing both the small-scale heterogeneity as well as the larger-scale trend of the prevailing hydraulic conductivity field. The results also indicate that this novel data integration approach is remarkably flexible and robust and hence can be expected to be applicable to a wide range of geophysical and hydrological data at all scale ranges. In the second part of my thesis, I evaluate in detail the viability of sequential geostatistical resampling as a proposal mechanism for Markov Chain Monte Carlo (MCMC) methods applied to high-dimensional geophysical and hydrological inverse problems in order to allow for a more accurate and realistic quantification of the uncertainty associated with the thus inferred models. Focusing on a series of pertinent crosshole georadar tomographic examples, I investigated two classes of geostatistical resampling strategies with regard to their ability to efficiently and accurately generate independent realizations from the Bayesian posterior distribution. The corresponding results indicate that, despite its popularity, sequential resampling is rather inefficient at drawing independent posterior samples for realistic synthetic case studies, notably for the practically common and important scenario of pronounced spatial correlation between model parameters. To address this issue, I have developed a new gradual-deformation-based perturbation approach, which is flexible with regard to the number of model parameters as well as the perturbation strength. Compared to sequential resampling, this newly proposed approach was proven to be highly effective in decreasing the number of iterations required for drawing independent samples from the Bayesian posterior distribution.
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Haematological cancers in adults include a range of diseases including leukaemias, lymphomas and myeloma, all of which differ in diagnosis and management. Collectively they account for about 1 in 14 cancers. This guidance provides a profile of the major haematological malignancies with brief reference to relevant epidemiological factors and management implications. It emphasises the collaborative and specialised nature of the clinical haematology service currently being delivered in the Cancer Centre and Cancer Units on a hub and spoke basis. The guidance sets out recommendations aimed at strengthening the current clinical service, which should continue to operate as a network, facilitating rapid referrals and the use of shared protocols. Specifically, it recommends that patients should be managed by a multi-disciplinary approach and that the provision of diagnostic facilities including radiological and cytogenetic analysis must be sufficient to provide high quality and timely information. åÊ
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Skin cancer is the diagnosis for about a quarter of all patients with cancer and because most of the work is done on an outpatient basis the true extent of the disease has largely gone unrecognised. Skin cancers are related to ultraviolet radiation exposure. Geographic latitude as well as attitude affects the amount of ultraviolet exposure and the risk of skin cancer, with people from Northern Ireland exposing themselves to higher levels of ultraviolet radiation when on holiday abroad and artificially from sunbeds. Ozone depletion is known to increase the risk of ultraviolet exposure and skin cancer. The majority of people living in Northern Ireland have pale skin and are at increased risk of developing skin cancer, as are some patients with an increased genetic risk for cancer. Some pre-existing skin lesions are known to increase the risk of developing skin cancer. Data collection on the incidence of non melanoma skin cancer in Northern Ireland was not available before the establishment of the Cancer Registry in 1993. There is however good data on the incidence of melanoma before that period. In 1974 there were 39 cases in melanoma in Northern Ireland, by 2000 this had risen by almost 500% to 185 cases. åÊ
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Anaesthetics, Pain Relief and Critical Care Services in Northern Ireland - Regional Summary (May 2002) Pages 1 to 7 (PDF 276 KB)åÊ Pages 8 to 14 (PDF 392 KB)åÊ Pages 15 to 20 (PDF 265 KB)
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Rehabilitation Services for Older People - Regional Report
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Developed from Partnerships in Caring (2000)
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Summary of Relevant Policy Reviews
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Consultation Reply Form
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2002 - 2022