862 resultados para Stability of nonlinear systems
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21st Annual Conference of the International Group for Lean Construction – IGLC 21 – Fortaleza, Brazil
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This paper examines the incentive to adopt a new technology given by some popular reimbursement systems, namely cost reimbursement and DRG reimbursement. Adoption is based on a cost-benefit criterion. We find that retrospective payment systems require a large enough patient benefit to yield adoption, while under DRG, adoption may arise in the absence of patients benefits when the differential reimbursement for the old vs. new technology is large enough. Also, cost reimbursement leads to higher adoption under some conditions on the differential reimbursement levels and patient benefits. In policy terms, cost reimbursement system may be more effective than a DRG payment system. This gives a new dimension to the discussion of prospective vs. retrospective payment systems of the last decades centered on the debate of quality vs. cost containment.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
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Complex systems, i.e. systems composed of a large set of elements interacting in a non-linear way, are constantly found all around us. In the last decades, different approaches have been proposed toward their understanding, one of the most interesting being the Complex Network perspective. This legacy of the 18th century mathematical concepts proposed by Leonhard Euler is still current, and more and more relevant in real-world problems. In recent years, it has been demonstrated that network-based representations can yield relevant knowledge about complex systems. In spite of that, several problems have been detected, mainly related to the degree of subjectivity involved in the creation and evaluation of such network structures. In this Thesis, we propose addressing these problems by means of different data mining techniques, thus obtaining a novel hybrid approximation intermingling complex networks and data mining. Results indicate that such techniques can be effectively used to i) enable the creation of novel network representations, ii) reduce the dimensionality of analyzed systems by pre-selecting the most important elements, iii) describe complex networks, and iv) assist in the analysis of different network topologies. The soundness of such approach is validated through different validation cases drawn from actual biomedical problems, e.g. the diagnosis of cancer from tissue analysis, or the study of the dynamics of the brain under different neurological disorders.
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In recent years, new methods of clean and environmentally friendly energy production have been the focus of intense research efforts. Microbial fuel cells (MFCs) are devices that utilize naturally occurring microorganisms that feed on organic matter, like waste water, while producing electrical energy. The natural habitats of bacteria thriving in microbial fuel cells are usually marine and freshwater sediments. These microorganisms are called dissimilatory metal reducing bacteria (DMRB), but in addition to metals like iron and manganese, they can use organic compounds like DMSO or TMAO, radionuclides and electrodes as terminal electron acceptors in their metabolic pathways.(...)
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This paper examines modern economic growth according to the multidimensional scaling (MDS) method and state space portrait (SSP) analysis. Electing GDP per capita as the main indicator for economic growth and prosperity, the long-run perspective from 1870 to 2010 identifies the main similarities among 34 world partners’ modern economic growth and exemplifies the historical waving mechanics of the largest world economy, the USA. MDS reveals two main clusters among the European countries and their old offshore territories, and SSP identifies the Great Depression as a mild challenge to the American global performance, when compared to the Second World War and the 2008 crisis.
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This study is specifically concerned with the effect of the Enterprise Resource Planning (ERP) on the Business Process Redesign (BPR). Researcher’s experience and the investigation on previous researches imply that BPR and ERP are deeply related to each other and a study to found the mentioned relation further is necessary. In order to elaborate the hypothesis, a case study, in particular Turkish electricity distribution market and the phase of privatization are investigated. Eight companies that have taken part in privatization process and executed BPR serve as cases in this study. During the research, the cases are evaluated through critical success factors on both BPR and ERP. It was seen that combining the ERP Solution features with business processes lead the companies to be successful in ERP and BPR implementation. When the companies’ success and efficiency were compared before and after the ERP implementation, a considerable change was observed in organizational structure. It was spotted that the team composition is important in the success of ERP projects. Additionally, when the ERP is in driver or enabler role, the companies can be considered successful. On the contrary, when the ERP has a neutral role of business processes, the project fails. In conclusion, it can be said that the companies, which have implemented the ERP successfully, have accomplished the goals of the BPR.
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Tese de Doutoramento - Programa Doutoral em Engenharia Industrial e Sistemas (PDEIS)
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Thermodynamic stability of black holes, described by the Rényi formula as equilibrium compatible entropy function, is investigated. It is shown that within this approach, asymptotically flat, Schwarzschild black holes can be in stable equilibrium with thermal radiation at a fixed temperature. This implies that the canonical ensemble exists just like in anti-de Sitter space, and nonextensive effects can stabilize the black holes in a very similar way as it is done by the gravitational potential of an anti-de Sitter space. Furthermore, it is also shown that a Hawking–Page-like black hole phase transition occurs at a critical temperature which depends on the q-parameter of the Rényi formula.
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This paper presents the results of experimental investigation on the aqueous dispersion behaviour of micro crystalline cellulose (MCC) prepared using Pluronic F-127. For this purpose, different concentrations (0.5-3.0 wt.%) of MCC were dispersed in water with the help of ultrasonication technique using various concentrations of Pluronic F-127. The homogeneity of the suspensions and agglomerations were characterized by optical and transmission electron microscopy and the concentration of well dispersed MCC was measured using UV-Vis spectroscopy. Also, the suspensions were subjected to high speed ultracentrifugation at 3000 rpm and observed visually for sedimentation and subsequently, concentration was calculated using UV-Vis, in order to assess the long term stability of the suspensions. Based on these experiments, optimum concentration of Pluronic to disperse different MCC concentrations has been suggested.
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Dissertação de mestrado integrado em Engenharia Mecânica
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El objetivo general de este proyecto es el estudio de distintos tipos de sistemas organizados, conocer los factores que determinan la forma de organización y las consecuencias que ésta tiene sobre la reactividad de moléculas que se encuentran en ese entorno organizado. Se pretende realizar, desde la fisicoquímica y la síntesis orgánica, aportes a áreas multidisciplinarias como la nanociencia y la nanotecnología. Se sintetizarán ciclodextrinas anfifílicas y se estudiará su comportamiento en solución y en interfases, sus propiedades de agregación y morfología. Se estudiará también la termodinámica de los procesos y la capacidad catalítica de estas ciclodextrinas anfifílicas en superficies bidimensionales en reacciones de hidrólisis de ésteres. Las ciclodextrinas anfifílicas sintetizadas en el laboratorio se utilizarán también en mezclas con otros surfactantes, con el objetivo de generar medios eficientes respecto a la solubilización y extracción de contaminantes orgánicos desde suelos. Se espera encontrar sistemas que presenten efectos sinérgicos. Se determinará el efecto de la formación de complejos con ciclodextrina sobre las propiedades fisicoquímicas y la reactividad de pesticidas de amplio uso en agricultura, en particular de compuestos organofosforados. Se investigarán ciclodextrinas que permitan controlar la liberación del agroquímico y se realizarán estudios de la reactividad de los pesticidas en solución y en medios que simulen el suelo determinando si la inclusión en las ciclodextrinas modifica la velocidad de descomposición. En la búsqueda de nuevos sistemas microheterogéneos se sintetizarán surfactantes gémini con una cadena hidrocarbonada y una perfluorada y se determinarán sus propiedades. Luego de su caracterización, estos surfactantes se aplicarán en estudios de reactividad de compuestos insolubles en agua.Se estudiará la formación de complejos de ciclodextrina con metales de transición y los mismos se utilizarán como catalizadores en reacciones de oxidación de sulfuros y de alquenos en medios acuosos y no acuosos buscando condiciones donde se logre inducción quiral. Se sintetizarán compuestos azufrados polifuncionales con los cuales se modificarán superficies de nanopartículas por quimioadsorción de los mismos. Dado que se pretende obtener compuestos con propiedades específicas que dependen de su estructura, se llevará a cabo el modelado computacional de las distintas moléculas en estudio, ya que esto podría aportar datos relevantes acerca de qué modificaciones estructurales podrían intensificar la propiedad o propiedades buscadas. En una etapa posterior se correlacionarán las propiedades predichas a través de cálculos teóricos con las observadas experimentalmente, lo que intrínsecamente conlleva a un mayor conocimiento del sistema.Los estudios propuestos en este proyecto permitirán avanzar en la comprensión de los factores supramoleculares que controlan y modulan la interacción de ligandos con sus receptores en interfases y la ocurrencia de reacciones hidrolíticas en interfases autoorganizadas.
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Uno de los grandes desafíos analíticos es resolver la complejidad del análisis de cantidades trazas de compuestos orgánicos debido a la baja sensibilidad analítica de las técnicas usuales que permiten una determinación específica como IR o RMN. El uso de espectrofotometría UV-Visible y espectroluminiscencia, técnicas que presentan mayor sensibilidad, se ve dificultada en muchos casos por el efecto matriz producido en el tratamiento de muestras reales y complejas o pérdida de la selectividad debido a la superposición de bandas.La interacción por formación de complejos entre determinados sustratos y receptores macrocíclicos que presentan poros o cavidades nanométricas, puede afectar las propiedades espectroscópicas de los sustratos. La respuesta de técnicas sensibles puede traducirse así en un análisis selectivo debido al reconocimiento molecular que se establece entre un dado receptor y el sustrato de interés. Por otra parte puede mejorar la sensibilidad debido a efectos de micropolaridad del medio, a efectos de restricciones de grados de libertad, por compartamentalización o protección de los estados excitados de los sustratos incluidos. El uso analítico de receptores selectivos es un área actualmente en desarrollo, que permite una rápida determinación de especies químicas, disminuyendo el efecto de interferentes, mejorando la sensibilidad y disminuyendo el tratamiento de la muestra.Se estudiarán los mecanismos involucrados en las interacciones y los factores que los modifican por técnicas espectroscópicas como UV-visible, RMN y luminiscencia. Se determinarán los parámetros analíticos por luminiscencia en los medios y condiciones en que la sensibilidad analítica muestre el mayor incremento. Se realizarán las pruebas de validación en las mejores condiciones para cada uno y mezclas de analitos relacionados en muestras reales.