881 resultados para unit delivery model
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Throughout the European Union there is an increasing amount of wind generation being dispatched-down due to the binding of power system operating constraints from high levels of wind generation. This paper examines the impact a system non-synchronous penetration limit has on the dispatch-down of wind and quantifies the significance of interconnector counter-trading to the priority dispatching of wind power. A fully coupled economic dispatch and security constrained unit commitment model of the Single Electricity Market of the Republic of Ireland and Northern Ireland and the British Electricity Trading and Transmission Arrangement was used in this study. The key finding was interconnector counter-trading reduces the impact the system non-synchronous penetration limit has on the dispatch-down of wind. The capability to counter-trade on the interconnectors and an increase in system non-synchronous penetration limit from 50% to 55% reduces the dispatch-down of wind by 311 GW h and decreases total electricity payments to the consumer by €1.72/MW h. In terms of the European Union electricity market integration, the results show the importance of developing individual electricity markets that allow system operators to counter-trade on interconnectors to ensure the priority dispatch of the increasing levels of wind generation.
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Purpose. To present the results of a strengths, weaknesses, opportunities and threats (SWOT) analysis used as part of a process aimed at reorganising services provided within a pediatric rehabilitation programme (PRP) in Quebec, Canada and to report the perceptions of the planning committee members regarding the usefulness of the SWOT in this process. Method. Thirty-six service providers working in the PRP completed a SWOT questionnaire and reported what they felt worked and what did not work in the existing model of care. Their responses were used by a planning committee over a 12- month period to assist in the development of a new service delivery model. Committee members shared their thoughts about the usefulness of the SWOT. Results. Current programme strengths included favourable organisational climate and interdisciplinary work whereas weaknesses included lack of psychosocial support to families and long waiting times for children. Opportunities included working with community partners, whereas fear of losing professional autonomy with the new service model was a threat. The SWOT results helped the planning committee redefine the programme goals and make decisions to improve service coordination. SWOT analysis was deemed as a very useful tool to help guide service reorganisation. Conclusions. SWOT analysis appears to be an interesting evaluation tool to promote awareness among service providers regarding the current functioning of a rehabilitation programme. It fosters their active participation in the reorganisation of a new service delivery model for pediatric rehabilitation.
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This paper presents a Unit Commitment model with reactive power compensation that has been solved by Genetic Algorithm (GA) optimization techniques. The GA has been developed a computational tools programmed/coded in MATLAB. The main objective is to find the best generations scheduling whose active power losses are minimal and the reactive power to be compensated, subjected to the power system technical constraints. Those are: full AC power flow equations, active and reactive power generation constraints. All constraints that have been represented in the objective function are weighted with a penalty factors. The IEEE 14-bus system has been used as test case to demonstrate the effectiveness of the proposed algorithm. Results and conclusions are dully drawn.
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Cette thèse a pour but de documenter la réorganisation des services effectuée au programme Enfants et adolescents (PEA) du Centre de réadaptation Estrie, Sherbrooke. Une démarche de recherche-action participative (RAP) est utilisée afin de collaborer au développement, à l’implantation et à l’évaluation d’un nouveau modèle de services visant à accroître l’accessibilité et la qualité des services de réadaptation offerts aux enfants ayant une déficience physique. Spécifiquement, les objectifs sont : 1) de documenter les retombées de la réorganisation des services; 2) de réaliser une analyse critique du processus de changement. Des méthodes quantitatives et qualitatives sont utilisées afin d’atteindre ces objectifs. Tout d’abord, la Mesure des processus de soins (MPOC) documente la perception de la qualité avant (2007), pendant (2008) et après (2009) l’implantation du nouveau modèle de services. Au total, cet outil est employé auprès de 222 familles et 129 intervenants. À quatre reprises, les intervenants et les gestionnaires répondent également à un questionnaire sur leurs perceptions des forces, des faiblesses, des opportunités et des menaces au PEA. En 2008 et en 2009, des focus groups et des entrevues téléphoniques sont réalisées auprès des familles (n=5), des intervenants (n=19) et des gestionnaires (n=13) afin de documenter leurs perceptions sur le processus de changement et sur les retombées de la réorganisation des services. Quant à l’observation participante, elle permet de recueillir de l’information sur le processus de réorganisation des services tout au long de ces trois années. Enfin, les informations recueillies sont analysées à l’aide de différentes approches, dont des tests statistiques et des analyses de contenu utilisant une grille de codification inspirée de la théorie des systèmes d’actions organisées. Les résultats indiquent que davantage d’enfants reçoivent des services en 2009 en comparaison à 2007. De plus, la qualité des services s’est maintenue selon les perceptions évaluées par la MPOC (article 1). L’utilisation d’interventions de groupe contribue fort probablement à augmenter le nombre d’enfants qui reçoivent des services, mais plusieurs défis doivent être adressés afin que cette modalité d’intervention soit réellement efficiente (article 2). Les résultats font ressortir que le processus de réorganisation des services est complexe. L’évaluation des forces, des faiblesses, des opportunités et des menaces d’un programme, de même que l’implication des acteurs dans le processus de développement d’un nouveau modèle de services, favorisent l’amélioration continue de la qualité (article 3). Or, les facilitateurs et les obstacles à l’implantation du nouveau modèle de services évoluent durant la réorganisation des services. Considérant cela, il est important de poser les actions nécessaires afin de soutenir le changement tout au long du processus (article 4). En résumé, cette thèse contribue à l’avancement des connaissances en réadaptation en comblant une lacune dans les écrits scientifiques. En effet, peu de projets visant le développement et l’implantation de nouveaux modèles de services sont évalués et documentés. Pourtant, des modèles tels que celui développé par le PEA semblent prometteurs afin d’améliorer l’accessibilité, et éventuellement, la qualité des services de réadaptation chez l’enfant.
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Cette thèse comporte trois articles dont un est publié et deux en préparation. Le sujet central de la thèse porte sur le traitement des valeurs aberrantes représentatives dans deux aspects importants des enquêtes que sont : l’estimation des petits domaines et l’imputation en présence de non-réponse partielle. En ce qui concerne les petits domaines, les estimateurs robustes dans le cadre des modèles au niveau des unités ont été étudiés. Sinha & Rao (2009) proposent une version robuste du meilleur prédicteur linéaire sans biais empirique pour la moyenne des petits domaines. Leur estimateur robuste est de type «plugin», et à la lumière des travaux de Chambers (1986), cet estimateur peut être biaisé dans certaines situations. Chambers et al. (2014) proposent un estimateur corrigé du biais. En outre, un estimateur de l’erreur quadratique moyenne a été associé à ces estimateurs ponctuels. Sinha & Rao (2009) proposent une procédure bootstrap paramétrique pour estimer l’erreur quadratique moyenne. Des méthodes analytiques sont proposées dans Chambers et al. (2014). Cependant, leur validité théorique n’a pas été établie et leurs performances empiriques ne sont pas pleinement satisfaisantes. Ici, nous examinons deux nouvelles approches pour obtenir une version robuste du meilleur prédicteur linéaire sans biais empirique : la première est fondée sur les travaux de Chambers (1986), et la deuxième est basée sur le concept de biais conditionnel comme mesure de l’influence d’une unité de la population. Ces deux classes d’estimateurs robustes des petits domaines incluent également un terme de correction pour le biais. Cependant, ils utilisent tous les deux l’information disponible dans tous les domaines contrairement à celui de Chambers et al. (2014) qui utilise uniquement l’information disponible dans le domaine d’intérêt. Dans certaines situations, un biais non négligeable est possible pour l’estimateur de Sinha & Rao (2009), alors que les estimateurs proposés exhibent un faible biais pour un choix approprié de la fonction d’influence et de la constante de robustesse. Les simulations Monte Carlo sont effectuées, et les comparaisons sont faites entre les estimateurs proposés et ceux de Sinha & Rao (2009) et de Chambers et al. (2014). Les résultats montrent que les estimateurs de Sinha & Rao (2009) et de Chambers et al. (2014) peuvent avoir un biais important, alors que les estimateurs proposés ont une meilleure performance en termes de biais et d’erreur quadratique moyenne. En outre, nous proposons une nouvelle procédure bootstrap pour l’estimation de l’erreur quadratique moyenne des estimateurs robustes des petits domaines. Contrairement aux procédures existantes, nous montrons formellement la validité asymptotique de la méthode bootstrap proposée. Par ailleurs, la méthode proposée est semi-paramétrique, c’est-à-dire, elle n’est pas assujettie à une hypothèse sur les distributions des erreurs ou des effets aléatoires. Ainsi, elle est particulièrement attrayante et plus largement applicable. Nous examinons les performances de notre procédure bootstrap avec les simulations Monte Carlo. Les résultats montrent que notre procédure performe bien et surtout performe mieux que tous les compétiteurs étudiés. Une application de la méthode proposée est illustrée en analysant les données réelles contenant des valeurs aberrantes de Battese, Harter & Fuller (1988). S’agissant de l’imputation en présence de non-réponse partielle, certaines formes d’imputation simple ont été étudiées. L’imputation par la régression déterministe entre les classes, qui inclut l’imputation par le ratio et l’imputation par la moyenne sont souvent utilisées dans les enquêtes. Ces méthodes d’imputation peuvent conduire à des estimateurs imputés biaisés si le modèle d’imputation ou le modèle de non-réponse n’est pas correctement spécifié. Des estimateurs doublement robustes ont été développés dans les années récentes. Ces estimateurs sont sans biais si l’un au moins des modèles d’imputation ou de non-réponse est bien spécifié. Cependant, en présence des valeurs aberrantes, les estimateurs imputés doublement robustes peuvent être très instables. En utilisant le concept de biais conditionnel, nous proposons une version robuste aux valeurs aberrantes de l’estimateur doublement robuste. Les résultats des études par simulations montrent que l’estimateur proposé performe bien pour un choix approprié de la constante de robustesse.
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Teniendo en cuenta las dificultades que ha presentado el Sistema de Salud colombiano caracterizado por la corrupción, las barreras administrativas para el acceso a los servicios de salud y la falta de una estructura administrativa, que le permita desarrollar mecanismos para ser eficiente en la prestación de servicios de salud, entre otros (Pantoja, 2011) (Colprensa, 2011) (Ruíz Gómez, 2012); el presente proyecto de investigación busca determinar los factores clave de éxito de una aseguradora Estadounidense y que se podrían adaptar al Sistema de Salud colombiano. Para lograr el propósito de este proyecto, se realizó una búsqueda de artículos donde se describieran los factores claves de éxito del modelo de aseguramiento y prestación de la aseguradora Kaiser Permanente, con el fin de analizar si dichos factores se pueden implementar de acuerdo al marco normativo en el que se desarrolla el sistema de salud colombiano. De acuerdo al análisis de la información y a la revisión de la normatividad que modela el Sistema de Salud colombiano, se pudo determinar que el Sistema General de Seguridad Social en Salud (SGSSS) cuenta con los mecanismos normativos que le permiten adoptar e implementar los factores claves de éxito que caracterizan el modelo de aseguramiento y prestación de servicios de Kaiser Permanente; por otra parte, es necesario tener en cuenta que en el modelo colombiano se permite la integración vertical sólo en un 40% , lo que no se ha estudiado es si este modelo de integración es beneficioso o no, a la hora de buscar la eficiencia en la prestación en salud, ya que el modelo Kaiser se caracteriza por aplicar una integración vertical del 100%, característica que le permite, por la evidencia encontrada, ser eficiente en la atención de sus usuarios.
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This paper proposes a new approach for optimal phasor measurement units placement for fault location on electric power distribution systems using Greedy Randomized Adaptive Search Procedure metaheuristic and Monte Carlo simulation. The optimized placement model herein proposed is a general methodology that can be used to place devices aiming to record the voltage sag magnitudes for any fault location algorithm that uses voltage information measured at a limited set of nodes along the feeder. An overhead, three-phase, three-wire, 13.8 kV, 134-node, real-life feeder model is used to evaluate the algorithm. Tests show that the results of the fault location methodology were improved thanks to the new optimized allocation of the meters pinpointed using this methodology. © 2011 IEEE.
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Nature Protection Areas (NPA) are important in the modern world, although still created with no well-defined criteria, overall in state and municipal spheres. In addition, there are no consistent information on the existence or factors that influence the creation and distribution of these areas. The present work had the objectives of identifying the Nature Protection Areas in Minas Gerais, Brazil, considering the municipalities and their mesoregions; perform a space-temporal analysis of the NPAs in Minas Gerais; relate the existence of NPAs with the Municipal Human Development Index (MHDI) and the municipal Gini Index (GI); relate the existence of NPA with the space-temporal and population density of each municipality; relate the Gross Domestic Product (GDP) with the presence of NPAs; relate the existence of NPAs with the occurrence of preservation areas in municipalities within the Atlantic Forest Biome; and verify the influence of the Ecological Sales and Services Tax (Ecological ICMS) institute over the creation of municipal NPAs in Minas Gerais. To reach these objectives, we researched databases, governmental websites, contacted managers and sent questionnaires to the 853 municipalities of Minas Gerais. After tabulating the data, statistical tests were applied to verify possible correlations. The results showed that the state has 9.26% of its territory protected, with the predominance of units of Sustainable Use, especially Environmental Protection Areas, which constitute 69.9% of this area. Only 1.96% of the territory are protected by Integral Protection (IP). We found no correlation between MHDI and the presence of NPAs. However, we verified that municipalities with IP units present higher GI when compared to the others, suggesting that the presence of this conservation unit (CU) model may be associated to social inequality. The results also showed a higher concentration CU in regions that use little of its natural resources as main economic basis and in municipalities with higher GDP. We also registered a positive correlation between the size of the municipalities, of the mesoregions, preserved area of the Atlantic Forest and population density. The Ecological ICMS did not contribute for a better IP in the state and, currently, does not represent an incentive to the creation of CU in Minas Gerais, even in the case of Environmental Protection Areas. This work registered a high degree of vulnerability if the protection system in this state, based on low restriction conservation units.
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The Earth's climate abruptly warmed by 5-8 °C during the Palaeocene-Eocene thermal maximum (PETM), about 55.5 million years ago**1,2. This warming was associated with a massive addition of carbon to the ocean-atmosphere system, but estimates of the Earth systemresponse to this perturbation are complicated by widely varying estimates of the duration of carbon release, which range from less than a year to tens of thousands of years. In addition the source of the carbon, and whether it was released as a single injection or in several pulses, remains the subject of debate**2-4. Here we present a new high-resolution carbon isotope record from terrestrial deposits in the Bighorn Basin (Wyoming, USA) spanning the PETM, and interpret the record using a carbon-cycle boxmodel of the ocean-atmosphere-biosphere system.Our record shows that the beginning of the PETMis characterized by not one but two distinct carbon release events, separated by a recovery to background values. To reproduce this pattern, our model requires two discrete pulses of carbon released directly to the atmosphere, at average rates exceeding 0.9 Pg C yr**-1, with the first pulse lasting fewer than 2,000 years.
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Qualquer tarefa motora ativa se dá pela ativação de uma população de unidades motoras. Porém, devido a diversas dificuldades, tanto técnicas quanto éticas, não é possível medir a entrada sináptica dos motoneurônios em humanos. Por essas razões, o uso de modelos computacionais realistas de um núcleo de motoneurônios e as suas respectivas fibras musculares tem um importante papel no estudo do controle humano dos músculos. Entretanto, tais modelos são complexos e uma análise matemática é difícil. Neste texto é apresentada uma abordagem baseada em identificação de sistemas de um modelo realista de um núcleo de unidades motoras, com o objetivo de obter um modelo mais simples capaz de representar a transdução das entradas do núcleo de unidades motoras na força do músculo associado ao núcleo. A identificação de sistemas foi baseada em um algoritmo de mínimos quadrados ortogonal para achar um modelo NARMAX, sendo que a entrada considerada foi a condutância sináptica excitatória dendrítica total dos motoneurônios e a saída foi a força dos músculos produzida pelo núcleo de unidades motoras. O modelo identificado reproduziu o comportamento médio da saída do modelo computacional realista, mesmo para pares de sinal de entrada-saída não usados durante o processo de identificação do modelo, como sinais de força muscular modulados senoidalmente. Funções de resposta em frequência generalizada do núcleo de motoneurônios foram obtidas do modelo NARMAX, e levaram a que se inferisse que oscilações corticais na banda-beta (20 Hz) podem influenciar no controle da geração de força pela medula espinhal, comportamento do núcleo de motoneurônios até então desconhecido.
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Includes index.
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Thesis (Ph.D.)--University of Washington, 2016-06
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Pseudo-ternary phase diagrams of the polar lipids Quil A, cholesterol (Chol) and phosphatidylcholine (PC) in aqueous mixtures prepared by the lipid film hydration method (where dried lipid film of phospholipids and cholesterol are hydrated by an aqueous solution of Quil A) were investigated in terms of the types of particulate structures formed therein. Negative staining transmission electron microscopy and polarized light microscopy were used to characterize the colloidal and coarse dispersed particles present in the systems. Pseudo-ternary phase diagrams were established for lipid mixtures hydrated in water and in Tris buffer (pH 7.4). The effect of equilibration time was also studied with respect to systems hydrated in water where the samples were stored for 2 months at 4degreesC. Depending on the mass ratio of Quil A, Chol and PC in the systems, various colloidal particles including ISCOM matrices, liposomes, ring-like micelles and worm-like micelles were observed. Other colloidal particles were also observed as minor structures in the presence of these predominant colloids including helices, layered structures and lamellae (hexagonal pattern of ring-like micelles). In terms of the conditions which appeared to promote the formation of ISCOM matrices, the area of the phase diagrams associated with systems containing these structures increased in the order: hydrated in water/short equilibration period < hydrated in buffer/short equilibration period < hydrated in water/prolonged equilibration period. ISCOM matrices appeared to form over time from samples, which initially contained a high concentration of ring-like micelles suggesting that these colloidal structures may be precursors to ISCOM matrix formation. Helices were also frequently found in samples containing ISCOM matrices as a minor colloidal structure. Equilibration time and presence of buffer salts also promoted the formation of liposomes in systems not containing Quil A. These parameters however, did not appear to significantly affect the occurrence and predominance of other structures present in the pseudo-binary systems containing Quil A. Pseudo-ternary phase diagrams of PC, Chol and Quil A are important to identify combinations which will produce different colloidal structures, particularly ISCOM matrices, by the method of lipid film hydration. Colloidal structures comprising these three components are readily prepared by hydration of dried lipid films and may have application in vaccine delivery where the functionality of ISCOMs has clearly been demonstrated. (C) 2003 Elsevier B.V. All rights reserved.
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This paper explains what happened during a three years long qualitative study at a mental health services organization. The study focuses on differences between espoused theory and theory in use during the implementation of a new service delivery model. This major organizational change occurred in a National policy environment of major health budget cutbacks. Primarily as a result of poor resourcing provided to bring about policy change and poor implementation of a series of termination plans, a number of constraints to learning contributed to the difficulties in implementing the new service delivery model. The study explores what occurred during the change process. Rather than blame participants of change for the poor outcomes, the study is set in a broader context of a policy environment—that of major health cutbacks.
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Background: There is a recognized need to move from mortality to morbidity outcome predictions following traumatic injury. However, there are few morbidity outcome prediction scoring methods and these fail to incorporate important comorbidities or cofactors. This study aims to develop and evaluate a method that includes such variables. Methods: This was a consecutive case series registered in the Queensland Trauma Registry that consented to a prospective 12-month telephone conducted follow-up study. A multivariable statistical model was developed relating Trauma Registry data to trichotomized 12-month post-injury outcome (categories: no limitations, minor limitations and major limitations). Cross-validation techniques using successive single hold-out samples were then conducted to evaluate the model's predictive capabilities. Results: In total, 619 participated, with 337 (54%) experiencing no limitations, 101 (16%) experiencing minor limitations and 181 (29%) experiencing major limitations 12 months after injury. The final parsimonious multivariable statistical model included whether the injury was in the lower extremity body region, injury severity, age, length of hospital stay, pulse at admission and whether the participant was admitted to an intensive care unit. This model explained 21% of the variability in post-injury outcome. Predictively, 64% of those with no limitations, 18% of those with minor limitations and 37% of those with major limitations were correctly identified. Conclusion: Although carefully developed, this statistical model lacks the predictive power necessary for its use as a basis of a useful prognostic tool. Further research is required to identify variables other than those routinely used in the Trauma Registry to develop a model with the necessary predictive utility.