Technological adoption in health care - The role of payment systems

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.

Cost efficiency in the Portuguese water sector: The case of multimunicipal systems operating at the bulk level

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

Analyzing the impact of HRM Systems on the organizational climate, culture and outcomes: The mediating role of HMR Strength, organizational climate and culture

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Complex networks and data mining: toward a new perspective for the understanding of complex systems

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.

Functional characterization and directed engineering of redox proteins for a rational improvement of Bioelectrochemical systems

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.(...)

Fractional state space analysis of economic systems

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.

The role of information systems in business process redesign : a case of Turkish electricity market

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.

Strategic planning of electricity systems: Integrating renewable energies

Tese de Doutoramento - Programa Doutoral em Engenharia Industrial e Sistemas (PDEIS)

Testing Nelder-Mead based repulsion algorithms for multiple roots of nonlinear systems via a two-level factorial design of experiments

This paper addresses the challenging task of computing multiple roots of a system of nonlinear equations. A repulsion algorithm that invokes the Nelder-Mead (N-M) local search method and uses a penalty-type merit function based on the error function, known as 'erf', is presented. In the N-M algorithm context, different strategies are proposed to enhance the quality of the solutions and improve the overall efficiency. The main goal of this paper is to use a two-level factorial design of experiments to analyze the statistical significance of the observed differences in selected performance criteria produced when testing different strategies in the N-M based repulsion algorithm. The main goal of this paper is to use a two-level factorial design of experiments to analyze the statistical significance of the observed differences in selected performance criteria produced when testing different strategies in the N-M based repulsion algorithm.

Optimization of filling systems for low pressure by Flow 3D

Dissertação de mestrado integrado em Engenharia Mecânica

Estudios de sistemas organizados con aplicaciones en nanoquímica, síntesis orgánica y en reactividad. Studies of organized systems with applications in nanochemistry, organic synthesis and reactivity.

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.

Sensores basados en nanocavidades de sistemas supramoleculares. Sensors based on nanocavities of supramolecular systems.

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.

Development of sensing systems for environmental monitoring

This project focused on the investigation and the development of a chemical sensing system for the determination of chromium Cr6+ and a bio-reactor followed by electrochemical detection at a glassy carbon electrode, for the determination of organochlorine compounds. The conjugation of Cr6+ with 1,5-diphenylcarbazide was studied at various types of electrodes such as glassy carbon, ultra-trace epoxy-graphite, chemically or un-modified carbon-paste and dropping-mercury. The cyclic voltammetric behaviour of the complex was also investigated. In addition, the possibility of developing a chemical sensor, Le. an electrochemical probe capable of sensing Cr6+ through its complexation with 1,5-diphenylacarbazide was studied. The conjugations of l-chloro-2,4-dinitrobenzene, 2,4-dichloronitrobenzene and ethacrynic, which are electrophilic organochlorine compounds, with reduced glutathione, were studied in order to test the bioreactor developed, based on the immobilisation of glutathione s-transferase. This was carried out at different types of electrodes such as glassy-carbon, gold, silver, platinum, epoxy-graphite, hangingmercury, and ferrocene-modified rotating-disc electrodes.