Dynamic network data envelopment analysis for university hospitals evaluation

ABSTRACT OBJECTIVE To develop an assessment tool to evaluate the efficiency of federal university general hospitals. METHODS Data envelopment analysis, a linear programming technique, creates a best practice frontier by comparing observed production given the amount of resources used. The model is output-oriented and considers variable returns to scale. Network data envelopment analysis considers link variables belonging to more than one dimension (in the model, medical residents, adjusted admissions, and research projects). Dynamic network data envelopment analysis uses carry-over variables (in the model, financing budget) to analyze frontier shift in subsequent years. Data were gathered from the information system of the Brazilian Ministry of Education (MEC), 2010-2013. RESULTS The mean scores for health care, teaching and research over the period were 58.0%, 86.0%, and 61.0%, respectively. In 2012, the best performance year, for all units to reach the frontier it would be necessary to have a mean increase of 65.0% in outpatient visits; 34.0% in admissions; 12.0% in undergraduate students; 13.0% in multi-professional residents; 48.0% in graduate students; 7.0% in research projects; besides a decrease of 9.0% in medical residents. In the same year, an increase of 0.9% in financing budget would be necessary to improve the care output frontier. In the dynamic evaluation, there was progress in teaching efficiency, oscillation in medical care and no variation in research. CONCLUSIONS The proposed model generates public health planning and programming parameters by estimating efficiency scores and making projections to reach the best practice frontier.

Wetland Habitat Studies using various Classification Techniques on Multi-Spectral Landsat Imagery: Case study: Tram chim National Park, Dong Thap Vietnam

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Uma metaheurística para a programação de projectos com multi-modos e recursos limitados

Este artigo apresenta uma nova abordagem (MM-GAV-FBI), aplicável ao problema da programação de projectos com restrições de recursos e vários modos de execução por actividade, problema conhecido na literatura anglo-saxónica por MRCPSP. Cada projecto tem um conjunto de actividades com precedências tecnológicas definidas e um conjunto de recursos limitados, sendo que cada actividade pode ter mais do que um modo de realização. A programação dos projectos é realizada com recurso a um esquema de geração de planos (do inglês Schedule Generation Scheme - SGS) integrado com uma metaheurística. A metaheurística é baseada no paradigma dos algoritmos genéticos. As prioridades das actividades são obtidas a partir de um algoritmo genético. A representação cromossómica utilizada baseia-se em chaves aleatórias. O SGS gera planos não-atrasados. Após a obtenção de uma solução é aplicada uma melhoria local. O objectivo da abordagem é encontrar o melhor plano (planning), ou seja, o plano que tenha a menor duração temporal possível, satisfazendo as precedências das actividades e as restrições de recursos. A abordagem proposta é testada num conjunto de problemas retirados da literatura da especialidade e os resultados computacionais são comparados com outras abordagens. Os resultados computacionais validam o bom desempenho da abordagem, não apenas em termos de qualidade da solução, mas também em termos de tempo útil.

The contribution of multitemporal information from multispectral satellite images for automatic land cover classification at the national scale

Thesis submitted to the Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Management – Geographic Information Systems

Context-aware multi-factor authentication

Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

Distributed Intelligent Management of Microgrids using a Multi-Agent Simulation Platform

Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems’ sector. Dealing with such a large scale integration of intermittent generation sources led to the emergence of several new players, as well as the development of new paradigms, such as the microgrid concept, and the evolution of demand response programs, which potentiate the active participation of consumers. This paper presents a multi-agent based simulation platform which models a microgrid environment, considering several different types of simulated players. These players interact with real physical installations, creating a realistic simulation environment with results that can be observed directly in the reality. A case study is presented considering players’ responses to a demand response event, resulting in an intelligent increase of consumption in order to face the wind generation surplus.

Quasi-periodic Gaits in Multi-legged Robots

5th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines

Embedded Multi-Core systems for Mixed Criticality applications in dynamic and changeable real-time environments

EMC2 finds solutions for dynamic adaptability in open systems. It provides handling of mixed criticality multicore applications in r eal-time conditions, withscalability and utmost flexibility, full-scale deployment and management of integrated tool chains, through the entire lifecycle.

Simulation of masonry out-of-plane failure modes by multi-body dynamics

The seismic assessment of the local failure modes in existing masonry buildings is currently based on the identification of the so-called local mechanisms, often associated with the out-of-plane wall behavior, whose stability is evaluated by static force-based approaches and, more recently, by some displacement-based proposals. Local mechanisms consist of kinematic chains of masonry portions, often regarded as rigid bodies, with geometric nonlinearity and concentrated nonlinearity in predefined contact regions (unilateral no-tension behavior, possible sliding with friction). In this work, the dynamic behavior of local mechanisms is simulated through multi-body dynamics, to obtain the nonlinear response with efficient time history analyses that directly take into account the characteristics of the ground motion. The amplification/filtering effects of the structure are considered within the input motion. The proposed approach is validated with experimental results of two full-scale shaking-table tests on stone masonry buildings: a sacco-stone masonry façade tested at Laboratório Nacional de Engenharia Civil and a two-storey double-leaf masonry building tested at European Centre for Training and Research in Earthquake Engineering (EUCENTRE).

Towards improving WEBSOM with multi-word expressions

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

The impact of banks dimension on profitability, sustainability and efficiency: An analysis for the Iberian financial system

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

The late adopter scale: A measure of late adopters of technological innovations

Diffusion of Innovation is a topic of interest for researchers and practitioners. Although substantial research is conducted on user categories, researchers often focus on the first half of the curve, ignoring the late adopters. We conduct two studies to measure the attributes of late adopters. In our first study of mobile phone users, we develop the Late-Adopter Scale. We then test it on a sample of laptop users. This scale is multi-dimensional, presents nomological and discriminant validity and has three dimensions: 1) rate of adoption, 2) resistance to innovation, and 3) skepticism. Findings reveal that all three Late Adopter Scale dimensions are significantly associated with low price preference. Moreover, in both samples skepticism is associated with high preference for simple products, lower leading edge status, and lower product involvement. Discussion focuses on implications of this new scale to theory and practice of new product development and diffusion of innovation.

Metabolic engineering with multi-objective optimization of kinetic models

Kinetic models have a great potential for metabolic engineering applications. They can be used for testing which genetic and regulatory modifications can increase the production of metabolites of interest, while simultaneously monitoring other key functions of the host organism. This work presents a methodology for increasing productivity in biotechnological processes exploiting dynamic models. It uses multi-objective dynamic optimization to identify the combination of targets (enzymatic modifications) and the degree of up- or down-regulation that must be performed in order to optimize a set of pre-defined performance metrics subject to process constraints. The capabilities of the approach are demonstrated on a realistic and computationally challenging application: a large-scale metabolic model of Chinese Hamster Ovary cells (CHO), which are used for antibody production in a fed-batch process. The proposed methodology manages to provide a sustained and robust growth in CHO cells, increasing productivity while simultaneously increasing biomass production, product titer, and keeping the concentrations of lactate and ammonia at low values. The approach presented here can be used for optimizing metabolic models by finding the best combination of targets and their optimal level of up/down-regulation. Furthermore, it can accommodate additional trade-offs and constraints with great flexibility.

Behavior-based price discrimination in a multi-dimensional preferences market

NIPE WP 04/ 2016

Variabilidad paleoambiental desde el Último Máximo Glacial en la región Centro-Sur de Argentina: Paleocirculación atmosférica, variabilidad hidroclimática y dimensión humana. Palaeoenvironmental variability from the Last Glacial Maximum in the Central-Southern region of Argentina: Atmospheric Palaeocirculation, Hydroclimatic Variability and Human Dimension.

El proyecto tiene como propósito caracterizar la variabilidad de la paleocirculación atmosférica en las latitudes medias de Sudamérica, su efecto sobre la fluctuación hidroclimática regional y la vulnerabilidad humana frente a los cambios ocurridos desde el Ultimo Máximo Glacial/Holoceno. El enfoque inter y multidisciplinaro aquí planteado para analizar la varibiliad hidroclimática pasada, sus causas y consecuencias, es inédito para esta región del país. El mismo contempla: a) análisis de archivos climáticos sedimentarios con una aproximación de multi-indicadores (sedimentología, geoquímica, isótopos estables y radiogénicos, mineralogía, ostrácodos y moluscos); b) determinación de la dinámica actual y pasada del polvo atmosférico (PA) combinando mediciones in situ y en registros sedimentarios y c) análisis de restos óseos humanos y malacológicos en sitios arqueológicos.Se contempla: a) Efectuar análisis de multi-indicadores de registros climáticos naturales almacenados en sistemas lacustres de la región Pampeana (S. Ambargasta, Mar Chiquita, Pocho, Melincué, Lagunas Encadenadas del Oeste de Buenos Aires) y en secuencias loessicas para inferir la variabilidad de la circulación atmosférica desde el UMG; b) Ampliar la resolución temporal de las reconstrucciones climáticas para ventanas de tiempo seleccionadas; c) Analizar la señal geoquímica del registro sedimentario de fases climáticas contrastantes; d) Identificar la variabilidad temporal de la procedencia y de los procesos actuantes mediante análisis mineralógicos y geoquímicos; e) Analizar el ambiente actual para calibrar indicadores ambientales o proxies (isótopos, flujo de sedimentos, geoquímica, moluscos y ostrácodos) con el escenario climático contemporáneo; f) Analizar en conjunto los archivos climáticos para inferir patrones de paleocirculación atmosférica regional y g) Dilucidar estrategias adaptativas y la historia biológica de poblaciones humanas en la región central de Argentina durante fases climáticas diversas.Este proyecto aborda uno de los aspectos menos conocidos de las reconstrucciones paleoambientales, que está relacionado con rol del material eólico derivado del Hemisferio Sur y el impacto que genera sobre el ciclo regional del Carbono. A pesar que el sur de Sudamérica es una de las áreas claves para entender este aspecto, no se conoce de forma acabada la incidencia de los cambios ambientales sobre el flujo de PA o el efecto de futuros cambios climáticos y/o uso de la tierra.La actividad planteada tiene implicancias directas sobre múltiples disciplinas como las ciencias atmosféricas, geoquímica, sedimentología, paleoclimatologia y bioarqueología. Nuestros resultados permitirán mejorar el entendimiento del cambio climático regional, la dinámica del polvo y su rol como forzante del sistema climático, la variabilidad hidrológica presente y pasada y la respuesta por parte de las poblaciones humanas. Profundizar el estudio de los cambios paleoclimáticos y bioarqueológicos en la región permitirá analizar la variabilidad hidroclimática y determinar su relación con las situaciones de crisis y vulnerabilidad del pobamiento humano. Asimismo, la inferencia de cambios para períodos con mínima o sin influencia humana es una herramienta clave para mejorar el conocimiento de las fluctuaciones climáticas del área extratropical Sudamericana. Estos resultados permitirán analizar no sólo los mecanismos operados en el sistema climático pasado sino también aquellos factores que explicarían el gran cambio hidroclimático registrado desde 1970 cuyos efectos han impactado claramente sobre las actividades socio-económicos en la región central Argentina.