826 resultados para risk analysis


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La presenza di Escherichia coli produttori di verocitotossine (VTEC o STEC) rappresenta una tra le più importanti cause di malattia alimentare attualmente presenti in Europa. La sua presenza negli allevamenti di animali destinati alla produzione di alimenti rappresenta un importante rischio per la salute del consumatore. In conseguenza di comuni contaminazioni che si realizzano nel corso della macellazione, della mungitura i VTEC possono essere presenti nelle carni e nel latte e rappresentano un grave rischio se la preparazione per il consumo o i processi di lavorazione non comportano trattamenti in grado d’inattivarli (es. carni crude o poco cotte, latte non pastorizzato, formaggi freschi a latte crudo). La contaminazione dei campi coltivati conseguente alla dispersione di letame o attraverso acque contaminate può veicolare questi stipiti che sono normalmente albergati nell’intestino di ruminanti (domestici e selvatici) e anche prodotti vegetali consumati crudi, succhi e perfino sementi sono stati implicati in gravi episodi di malattia con gravi manifestazioni enteriche e complicazioni in grado di causare quadri patologici gravi e anche la morte. Stipiti di VTEC patogeni ingeriti con gli alimenti possono causare sintomi gastroenterici, con diarrea acquosa o emorragica (nel 50% dei casi), crampi addominali, febbre lieve e in una percentuale più bassa nausea e vomito. In alcuni casi (circa 5-10%) l’infezione gastroenterica si complica con manifestazioni tossiemiche caratterizzate da Sindrome Emolitico Uremica (SEU o HUS) con anemia emolitica, insufficienza renale grave e coinvolgimento neurologico o con una porpora trombotica trombocitopenica. Il tasso di mortalità dei pazienti che presentano l’infezione da E. coli è inferiore all’1%. I dati forniti dall’ECDC sulle infezioni alimentari nel periodo 2006-2010 hanno evidenziato un trend in leggero aumento del numero di infezioni a partire dal 2007. L’obiettivo degli studi condotti è quello di valutare la prevalenza ed il comportamento dei VTEC per una analisi del rischio più approfondita.

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This work presents a comprehensive methodology for the reduction of analytical or numerical stochastic models characterized by uncertain input parameters or boundary conditions. The technique, based on the Polynomial Chaos Expansion (PCE) theory, represents a versatile solution to solve direct or inverse problems related to propagation of uncertainty. The potentiality of the methodology is assessed investigating different applicative contexts related to groundwater flow and transport scenarios, such as global sensitivity analysis, risk analysis and model calibration. This is achieved by implementing a numerical code, developed in the MATLAB environment, presented here in its main features and tested with literature examples. The procedure has been conceived under flexibility and efficiency criteria in order to ensure its adaptability to different fields of engineering; it has been applied to different case studies related to flow and transport in porous media. Each application is associated with innovative elements such as (i) new analytical formulations describing motion and displacement of non-Newtonian fluids in porous media, (ii) application of global sensitivity analysis to a high-complexity numerical model inspired by a real case of risk of radionuclide migration in the subsurface environment, and (iii) development of a novel sensitivity-based strategy for parameter calibration and experiment design in laboratory scale tracer transport.

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On one side, prosthodontic reconstructions compensate for the sequelae of negative changes in the oral cavity; on the other side, they often enhance or accelerate them. As a consequence of negative changes in the oral cavity over time, treatment planning for RPDs becomes highly complex. A set of reliable criteria is necessary for decision-making and problem management It appears that the majority of published data on RPDs does not depict high effectiveness of this treatment modality. From a strict point of view of evidence-based dentistry, the level of evidence is low if not missing for RPDs. Randomized controlled trials on RPDs are difficult to design, they are not feasible for some questions due to the complexity of the material, or may remain without clinical relevance. The literature rarely gives information on the denture design, tooth selection, and management of the compromised structural integrity of teeth. So far treatment outcomes with RPDs must be considered under the aspect of bias due to the bias in indication and patient selection for RPDs. Better clinical models should be elaborated with more stringent concepts for providing RPDs. This encompasses: risk analysis and patient assessment, proper indications for maintenance or extraction of teeth, strategic placement of implants, biomechanical aspects, materials, and technology. Although there is a tendency to offer fixed prostheses to our patients, this might change again with demographic changes and with an increase in the ageing population, an increase in their reduced dentition, and low socioeconomic wealth in large parts of the world.

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In natural hazard research, risk is defined as a function of (1) the probability of occurrence of a hazardous process, and (2) the assessment of the related extent of damage, defined by the value of elements at risk exposed and their physical vulnerability. Until now, various works have been undertaken to determine vulnerability values for objects exposed to geomorphic hazards such as mountain torrents. Yet, many studies only provide rough estimates for vulnerability values based on proxies for process intensities. However, the deduced vulnerability functions proposed in the literature show a wide range, in particular with respect to medium and high process magnitudes. In our study, we compare vulnerability functions for torrent processes derived from studies in test sites located in the Austrian Alps and in Taiwan. Based on this comparison we expose needs for future research in order to enhance mountain hazard risk management with a particular focus on the question of vulnerability on a catchment scale.

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Skeletal diseases such as osteoporosis impose a severe socio-economic burden to ageing societies. Decreasing mechanical competence causes a rise in bone fracture incidence and mortality especially after the age of 65 y. The mechanisms of how bone damage is accumulated under different loading modes and its impact on bone strength are unclear. We hypothesise that damage accumulated in one loading mode increases the fracture risk in another. This study aimed at identifying continuum damage interactions between tensile and compressive loading modes. We propose and identify the material constants of a novel piecewise 1D constitutive model capable of describing the mechanical response of bone in combined tensile and compressive loading histories. We performed several sets of loading–reloading experiments to compute stiffness, plastic strains, and stress-strain curves. For tensile overloading, a stiffness reduction (damage) of 60% at 0.65% accumulated plastic strain was detectable as stiffness reduction of 20% under compression. For compressive overloading, 60% damage at 0.75% plastic strain was detectable as a stiffness reduction of 50% in tension. Plastic strain at ultimate stress was the same in tension and compression. Compression showed softening and tension exponential hardening in the post-yield regime. The hardening behaviour in compression is unaffected by a previous overload in tension but the hardening behaviour in tension is affected by a previous overload in compression as tensile reloading strength is significantly reduced. This paper demonstrates how damage accumulated under one loading mode affects the mechanical behaviour in another loading mode. To explain this and to illustrate a possible implementation we proposed a theoretical model. Including such loading mode dependent damage and plasticity behaviour in finite element models will help to improve fracture risk analysis of whole bones and bone implant structures.

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External beam radiation therapy is used to treat nearly half of the more than 200,000 new cases of prostate cancer diagnosed in the United States each year. During a radiation therapy treatment, healthy tissues in the path of the therapeutic beam are exposed to high doses. In addition, the whole body is exposed to a low-dose bath of unwanted scatter radiation from the pelvis and leakage radiation from the treatment unit. As a result, survivors of radiation therapy for prostate cancer face an elevated risk of developing a radiogenic second cancer. Recently, proton therapy has been shown to reduce the dose delivered by the therapeutic beam to normal tissues during treatment compared to intensity modulated x-ray therapy (IMXT, the current standard of care). However, the magnitude of stray radiation doses from proton therapy, and their impact on this incidence of radiogenic second cancers, was not known. ^ The risk of a radiogenic second cancer following proton therapy for prostate cancer relative to IMXT was determined for 3 patients of large, median, and small anatomical stature. Doses delivered to healthy tissues from the therapeutic beam were obtained from treatment planning system calculations. Stray doses from IMXT were taken from the literature, while stray doses from proton therapy were simulated using a Monte Carlo model of a passive scattering treatment unit and an anthropomorphic phantom. Baseline risk models were taken from the Biological Effects of Ionizing Radiation VII report. A sensitivity analysis was conducted to characterize the uncertainty of risk calculations to uncertainties in the risk model, the relative biological effectiveness (RBE) of neutrons for carcinogenesis, and inter-patient anatomical variations. ^ The risk projections revealed that proton therapy carries a lower risk for radiogenic second cancer incidence following prostate irradiation compared to IMXT. The sensitivity analysis revealed that the results of the risk analysis depended only weakly on uncertainties in the risk model and inter-patient variations. Second cancer risks were sensitive to changes in the RBE of neutrons. However, the findings of the study were qualitatively consistent for all patient sizes and risk models considered, and for all neutron RBE values less than 100. ^

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En este estudio se aplica una metodología de obtención de las leyes de frecuencia derivadas (de caudales máximo vertidos y niveles máximos alcanzados) en un entorno de simulaciones de Monte Carlo, para su inclusión en un modelo de análisis de riesgo de presas. Se compara su comportamiento respecto del uso de leyes de frecuencia obtenidas con las técnicas tradicionalmente utilizadas.

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The extreme runup is a key parameter for a shore risk analysis in which the accurate and quantitative estimation of the upper limit reached by waves is essential. Runup can be better approximated by splitting the setup and swash semi-amplitude contributions. In an experimental study recording setup becomes difficult due to infragravity motions within the surf zone, hence, it would be desirable to measure the setup with available methodologies and devices. In this research, an analysis is made of evaluated the convenience of direct estimation setup as the medium level in the swash zone for experimental runup analysis through a physical model. A physical mobile bed model was setup in a wave flume at the Laboratory for Maritime Experimentation of CEDEX. The wave flume is 36 metres long, 6.5 metres wide and 1.3 metres high. The physical model was designed to cover a reasonable range of parameters, three different slopes (1/50, 1/30 and 1/20), two sand grain sizes (D50 = 0.12 mm and 0.70 mm) and a range for the Iribarren number in deep water (ξ0) from 0.1 to 0.6. Best formulations were chosen for estimating a theoretical setup in the physical model application. Once theoretical setup had been obtained, a comparison was made with an estimation of the setup directly as a medium level of the oscillation in swash usually considered in extreme runup analyses. A good correlation was noted between both theoretical and time-averaging setup and a relation is proposed. Extreme runup is analysed through the sum of setup and semi-amplitude of swash. An equation is proposed that could be applied in strong foreshore slope-dependent reflective beaches.

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En los modelos promovidos por las normativas internacionales de análisis de riesgos en los sistemas de información, los activos están interrelacionados entre sí, de modo que un ataque sobre uno de ellos se puede transmitir a lo largo de toda la red, llegando a alcanzar a los activos más valiosos para la organización. Es necesario entonces asignar el valor de todos los activos, así como las relaciones de dependencia directas e indirectas entre estos, o la probabilidad de materialización de una amenaza y la degradación que ésta puede provocar sobre los activos. Sin embargo, los expertos encargados de asignar tales valores, a menudo aportan información vaga e incierta, de modo que las técnicas difusas pueden ser muy útiles en este ámbito. Pero estas técnicas no están libres de ciertas dificultades, como la necesidad de uso de una aritmética adecuada al modelo o el establecimiento de medidas de similitud apropiadas. En este documento proponemos un tratamiento difuso para los modelos de análisis de riesgos promovidos por las metodologías internacionales, mediante el establecimiento de tales elementos.Abstract— Assets are interrelated in risk analysis methodologies for information systems promoted by international standards. This means that an attack on one asset can be propagated through the network and threaten an organization’s most valuable assets. It is necessary to valuate all assets, the direct and indirect asset dependencies, as well as the probability of threats and the resulting asset degradation. However, the experts in charge to assign such values often provide only vague and uncertain information. Fuzzy logic can be very helpful in such situation, but it is not free of some difficulties, such as the need of a proper arithmetic to the model under consideration or the establishment of appropriate similarity measures. Throughout this paper we propose a fuzzy treatment for risk analysis models promoted by international methodologies through the establishment of such elements.

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The Pridneprovsky Chemical Plant was one of the largest uranium processing enterprises in the former USSR, producing a huge amount of uranium residues. The Zapadnoe tailings site contains most of these residues. We propose a theoretical framework based on multicriteria decision analysis and fuzzy logic to analyze different remediation alternatives for the Zapadnoe tailings, which simultaneously accounts for potentially conflicting economic, social and environmental objectives. We build an objective hierarchy that includes all the relevant aspects. Fuzzy rather than precise values are proposed for use to evaluate remediation alternatives against the different criteria and to quantify preferences, such as the weights representing the relative importance of criteria identified in the objective hierarchy. Finally, we suggest that remediation alternatives should be evaluated by means of a fuzzy additive multi-attribute utility function and ranked on the basis of the respective trapezoidal fuzzy number representing their overall utility.

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La comparación de las diferentes ofertas presentadas en la licitación de un proyecto,con el sistema de contratación tradicional de medición abierta y precio unitario cerrado, requiere herramientas de análisis que sean capaces de discriminar propuestas que teniendo un importe global parecido pueden presentar un impacto económico muy diferente durante la ejecución. Una de las situaciones que no se detecta fácilmente con los métodos tradicionales es el comportamiento del coste real frente a las variaciones de las cantidades realmente ejecutadas en obra respecto de las estimadas en el proyecto. Este texto propone abordar esta situación mediante un sistema de análisis cuantitativo del riesgo como el método de Montecarlo. Este procedimiento, como es sabido, consiste en permitir que los datos de entrada que definen el problema varíen unas funciones de probabilidad definidas, generar un gran número de casos de prueba y tratar los resultados estadísticamente para obtener los valores finales más probables,con los parámetros necesarios para medir la fiabilidad de la estimación. Se presenta un modelo para la comparación de ofertas, desarrollado de manera que puede aplicarse en casos reales aplicando a los datos conocidos unas condiciones de variación que sean fáciles de establecer por los profesionales que realizan estas tareas. ABSTRACT: The comparison of the different bids in the tender for a project, with the traditional contract system based on unit rates open to and re-measurement, requires analysis tools that are able to discriminate proposals having a similar overall economic impact, but that might show a very different behaviour during the execution of the works. One situation not easily detected by traditional methods is the reaction of the actual cost to the changes in the exact quantity of works finally executed respect of the work estimated in the project. This paper intends to address this situation through the Monte Carlo method, a system of quantitative risk analysis. This procedure, as is known, is allows the input data defining the problem to vary some within well defined probability functions, generating a large number of test cases, the results being statistically treated to obtain the most probable final values, with the rest of the parameters needed to measure the reliability of the estimate. We present a model for the comparison of bids, designed in a way that it can be applied in real cases, based on data and assumptions that are easy to understand and set up by professionals who wish to perform these tasks.

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En este trabajo se presenta el desarrollo de una metodología para obtener un universo de funciones de Green y el algoritmo correspondiente, para estimar la altura de tsunamis a lo largo de la costa occidental de México en función del momento sísmico y de la extensión del área de ruptura de sismos interplaca localizados entre la costa y la Trinchera Mesoamericana. Tomando como caso de estudio el sismo ocurrido el 9 de octubre de 1995 en la costa de Jalisco-Colima, se estudiaron los efectos del tsunami originados en la hidrodinámica del Puerto de Manzanillo, México, con una propuesta metodológica que contempló lo siguiente: El primer paso de la metodología contempló la aplicación del método inverso de tsunamis para acotar los parámetros de la fuente sísmica mediante la confección de un universo de funciones de Green para la costa occidental de México. Tanto el momento sísmico como la localización y extensión del área de ruptura de sismos se prescribe en segmentos de planos de falla de 30 X 30 km. A cada uno de estos segmentos del plano de falla corresponde un conjunto de funciones de Green ubicadas en la isobata de 100 m, para 172 localidades a lo largo de la costa, separadas en promedio 12 km entre una y otra. El segundo paso de la metodología contempló el estudio de la hidrodinámica (velocidades de las corrientes y niveles del mar en el interior del puerto y el estudio del runup en la playa) originada por el tsunami, la cual se estudió en un modelo hidráulico de fondo fijo y en un modelo numérico, representando un tsunami sintético en la profundidad de 34 m como condición inicial, el cual se propagó a la costa con una señal de onda solitaria. Como resultado de la hidrodinámica del puerto de Manzanillo, se realizó un análisis de riesgo para la definición de las condiciones operativas del puerto en términos de las velocidades en el interior del mismo, y partiendo de las condiciones iniciales del terremoto de 1995, se definieron las condiciones límites de operación de los barcos en el interior y exterior del puerto. In this work is presented the development of a methodology in order to obtain a universe of Green's functions and the corresponding algorithm in order to estimate the tsunami wave height along the west coast of Mexico, in terms of seismic moment and the extent of the area of the rupture, in the interplate earthquakes located between the coast and the Middle America Trench. Taking as a case of study the earthquake occurred on October 9, 1995 on the coast of Jalisco-Colima, were studied the hydrodynamics effects of the tsunami caused in the Port of Manzanillo, Mexico, with a methodology that contemplated the following The first step of the methodology contemplated the implementation of the tsunami inverse method to narrow the parameters of the seismic source through the creation of a universe of Green's functions for the west coast of Mexico. Both the seismic moment as the location and extent of earthquake rupture area prescribed in segments fault planes of 30 X 30 km. Each of these segments of the fault plane corresponds a set of Green's functions located in the 100 m isobath, to 172 locations along the coast, separated on average 12 km from each other. The second step of the methodology contemplated the study of the hydrodynamics (speed and directions of currents and sea levels within the port and the study of the runup on the beach Las Brisas) caused by the tsunami, which was studied in a hydraulic model of fix bed and in a numerical model, representing a synthetic tsunami in the depth of 34 m as an initial condition which spread to the coast with a solitary wave signal. As a result of the hydrodynamics of the port of Manzanillo, a risk analysis to define the operating conditions of the port in terms of the velocities in the inner and outside of the port was made, taken in account the initial conditions of the earthquake and tsunami ocurred in Manzanillo port in 1995, were defined the limits conditions of operation of the ships inside and outside the port.

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In the last decades accumulated clinical evidence has proven that intra-operative radiation therapy (IORT) is a very valuable technique. In spite of that, planning technology has not evolved since its conception, being outdated in comparison to current state of the art in other radiotherapy techniques and therefore slowing down the adoption of IORT. RADIANCE is an IORT planning system, CE and FDA certified, developed by a consortium of companies, hospitals and universities to overcome such technological backwardness. RADIANCE provides all basic radiotherapy planning tools which are specifically adapted to IORT. These include, but are not limited to image visualization, contouring, dose calculation algorithms-Pencil Beam (PB) and Monte Carlo (MC), DVH calculation and reporting. Other new tools, such as surgical simulation tools have been developed to deal with specific conditions of the technique. Planning with preoperative images (preplanning) has been evaluated and the validity of the system being proven in terms of documentation, treatment preparation, learning as well as improvement of surgeons/radiation oncologists (ROs) communication process. Preliminary studies on Navigation systems envisage benefits on how the specialist to accurately/safely apply the pre-plan into the treatment, updating the plan as needed. Improvements on the usability of this kind of systems and workflow are needed to make them more practical. Preliminary studies on Intraoperative imaging could provide an improved anatomy for the dose computation, comparing it with the previous pre-plan, although not all devices in the market provide good characteristics to do so. DICOM.RT standard, for radiotherapy information exchange, has been updated to cover IORT particularities and enabling the possibility of dose summation with external radiotherapy. The effect of this planning technology on the global risk of the IORT technique has been assessed and documented as part of a failure mode and effect analysis (FMEA). Having these technological innovations and their clinical evaluation (including risk analysis) we consider that RADIANCE is a very valuable tool to the specialist covering the demands from professional societies (AAPM, ICRU, EURATOM) for current radiotherapy procedures.

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O problema de Planejamento da Expansão de Sistemas de Distribuição (PESD) visa determinar diretrizes para a expansão da rede considerando a crescente demanda dos consumidores. Nesse contexto, as empresas distribuidoras de energia elétrica têm o papel de propor ações no sistema de distribuição com o intuito de adequar o fornecimento da energia aos padrões exigidos pelos órgãos reguladores. Tradicionalmente considera-se apenas a minimização do custo global de investimento de planos de expansão, negligenciando-se questões de confiabilidade e robustez do sistema. Como consequência, os planos de expansão obtidos levam o sistema de distribuição a configurações que são vulneráveis a elevados cortes de carga na ocorrência de contingências na rede. Este trabalho busca a elaboração de uma metodologia para inserir questões de confiabilidade e risco ao problema PESD tradicional, com o intuito de escolher planos de expansão que maximizem a robustez da rede e, consequentemente, atenuar os danos causados pelas contingências no sistema. Formulou-se um modelo multiobjetivo do problema PESD em que se minimizam dois objetivos: o custo global (que incorpora custo de investimento, custo de manutenção, custo de operação e custo de produção de energia) e o risco de implantação de planos de expansão. Para ambos os objetivos, são formulados modelos lineares inteiros mistos que são resolvidos utilizando o solver CPLEX através do software GAMS. Para administrar a busca por soluções ótimas, optou-se por programar em linguagem C++ dois Algoritmos Evolutivos: Non-dominated Sorting Genetic Algorithm-2 (NSGA2) e Strength Pareto Evolutionary Algorithm-2 (SPEA2). Esses algoritmos mostraram-se eficazes nessa busca, o que foi constatado através de simulações do planejamento da expansão de dois sistemas testes adaptados da literatura. O conjunto de soluções encontradas nas simulações contém planos de expansão com diferentes níveis de custo global e de risco de implantação, destacando a diversidade das soluções propostas. Algumas dessas topologias são ilustradas para se evidenciar suas diferenças.