Nonlinear dynamics of the patient’s response to drug effect during general anesthesia

In today’s healthcare paradigm, optimal sedation during anesthesia plays an important role both in patient welfare and in the socio-economic context. For the closed-loop control of general anesthesia, two drugs have proven to have stable, rapid onset times: propofol and remifentanil. These drugs are related to their effect in the bispectral index, a measure of EEG signal. In this paper wavelet time–frequency analysis is used to extract useful information from the clinical signals, since they are time-varying and mark important changes in patient’s response to drug dose. Model based predictive control algorithms are employed to regulate the depth of sedation by manipulating these two drugs. The results of identification from real data and the simulation of the closed loop control performance suggest that the proposed approach can bring an improvement of 9% in overall robustness and may be suitable for clinical practice.

Nonlinear dynamics of the patient’s response to drug effect during general anesthesia

In today’s healthcare paradigm, optimal sedation during anesthesia plays an important role both in patient welfare and in the socio-economic context. For the closed-loop control of general anesthesia, two drugs have proven to have stable, rapid onset times: propofol and remifentanil. These drugs are related to their effect in the bispectral index, a measure of EEG signal. In this paper wavelet time–frequency analysis is used to extract useful information from the clinical signals, since they are time-varying and mark important changes in patient’s response to drug dose. Model based predictive control algorithms are employed to regulate the depth of sedation by manipulating these two drugs. The results of identification from real data and the simulation of the closed loop control performance suggest that the proposed approach can bring an improvement of 9% in overall robustness and may be suitable for clinical practice.

Lipid content of frozen fish: comparison of different extraction methods and variability during freezing storage

In this work, a microwave-assisted extraction (MAE) methodology was compared with several conventional extraction methods (Soxhlet, Bligh & Dyer, modified Bligh & Dyer, Folch, modified Folch, Hara & Radin, Roese-Gottlieb) for quantification of total lipid content of three fish species: horse mackerel (Trachurus trachurus), chub mackerel (Scomber japonicus), and sardine (Sardina pilchardus). The influence of species, extraction method and frozen storage time (varying from fresh to 9 months of freezing) on total lipid content was analysed in detail. The efficiencies of methods MAE, Bligh & Dyer, Folch, modified Folch and Hara & Radin were the highest and although they were not statistically different, differences existed in terms of variability, with MAE showing the highest repeatability (CV = 0.034). Roese-Gottlieb, Soxhlet, and modified Bligh & Dyer methods were very poor in terms of efficiency as well as repeatability (CV between 0.13 and 0.18).

Analysis of stock market indices through multidimensional scaling

We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models.

Development of a meso-microscale coupling procedure for site assessment in complex terrain

A procedure for coupling mesoscale and CFD codes is presented, enabling the inclusion of realistic stratification flow regimes and boundary conditions in CFD simulations of relevance to site and resource assessment studies in complex terrain. Two distinct techniques are derived: (i) in the first one, boundary conditions are extracted from mesoscale results to produce time-varying CFD solutions; (ii) in the second case, a statistical treatment of mesoscale data leads to steady-state flow boundary conditions believed to be more representative than the idealised profiles which are current industry practice. Results are compared with measured data and traditional CFD approaches.

Impacto da redução de impostos sobre o trabalho, capital e consumo no crescimento económico da União Europeia dos 15

Este artigo tem por objectivo averiguar se uma redução nos impostos sobre o trabalho, capital e consumo poderão afectar permanentemente o crescimento económico, validando o paradigma do crescimento endógeno ou, se pelo contrário, afectam apenas o nível de output (teoria do crescimento exógeno). Recorrendo às taxas efectivas de impostos sobre as funções económicas estimadas por Martinez-Mongay (2000) e à estimação de modelos dinâmicos de séries temporais, que permitem estudar os efeitos de curto e de longo prazo, os resultados obtidos para 14 Estados-Membros da União Europeia dos 15, no período 1970-2000, sugerem a validação do paradigma de crescimento endógeno. Em particular, a redução dos impostos sobre o trabalho e o capital poderia estimular o crescimento económico de longo prazo.

Modeling Vegetable Fractals by means of Fractional-order Equations

This paper characterizes four ‘fractal vegetables’: (i) cauliflower (brassica oleracea var. Botrytis); (ii) broccoli (brassica oleracea var. italica); (iii) round cabbage (brassica oleracea var. capitata) and (iv) Brussels sprout (brassica oleracea var. gemmifera), by means of electrical impedance spectroscopy and fractional calculus tools. Experimental data is approximated using fractional-order models and the corresponding parameters are determined with a genetic algorithm. The Havriliak-Negami five-parameter model fits well into the data, demonstrating that classical formulae can constitute simple and reliable models to characterize biological structures.

Multidimensional Scaling Analysis of Stock Market Indexes

This paper applies multidimensional scaling techniques and Fourier transform for visualizing possible time-varying correlations between 25 stock market values. The method is useful for observing clusters of stock markets with similar behavior.

Redução dos Temmpos de Paragem não Programada numa Linha de Maquinação

A Dissertação que se pretende desenvolver decorre em ambiente industrial numa empresa, em que as principais áreas de actuação dizem respeito à injecção e maquinação de alumínio. Os componentes aí injectados e maquinados, são componentes que servirão posteriormente a indústria automóvel num vasto leque de aplicações, desde componentes para sistemas hidráulicos de travagem e componentes para sistemas de lubrificação. Nesta dissertação foi abordada a temática da redução do tempo de paragem não planeada numa linha de maquinação, pelo que se elencaram as principais causas que originavam essas paragens. Recorrendo à metodologia SMED, e a um vasto conjunto de técnicas auxiliares de determinação de causas como os 5 WHY´s, diagrama de Ishikawa, 5S e Kaizen, foram propostas diversas melhorias para a optimização do procedimento de troca de modelo, incluindo um conjunto de regras que visam a sustentabilidade do processo a médio e longo prazo. Com as melhorias adoptadas, verificou-se uma redução de 27,9% no tempo total de troca de modelo comparativamente com o tempo registado antes da implementação da metodologia SMED. Destaca-se a redução de 75% no tempo de montagem e desmontagem dos dispositivos no 3ºProcesso da linha em estudo. Revelou-se também crucial que para a implementação da técnica SMED ser bem sucedida em termos de eficiência e sustentabilidade, devem ser adoptadas um conjunto de diversas ferramentas “Lean Management” e de normalização do trabalho.

Passive Fault-Tolerance Management in Component-based Embedded Systems

It is imperative to accept that failures can and will occur, even in meticulously designed distributed systems, and design proper measures to counter those failures. Passive replication minimises resource consumption by only activating redundant replicas in case of failures, as typically providing and applying state updates is less resource demanding than requesting execution. However, most existing solutions for passive fault tolerance are usually designed and configured at design time, explicitly and statically identifying the most critical components and their number of replicas, lacking the needed flexibility to handle the runtime dynamics of distributed component-based embedded systems. This paper proposes a cost-effective adaptive fault tolerance solution with a significant lower overhead compared to a strict active redundancy-based approach, achieving a high error coverage with the minimum amount of redundancy. The activation of passive replicas is coordinated through a feedback-based coordination model that reduces the complexity of the needed interactions among components until a new collective global service solution is determined, improving the overall maintainability and robustness of the system.

A feedback-based decentralised coordination model for distributed open real-time systems

Moving towards autonomous operation and management of increasingly complex open distributed real-time systems poses very significant challenges. This is particularly true when reaction to events must be done in a timely and predictable manner while guaranteeing Quality of Service (QoS) constraints imposed by users, the environment, or applications. In these scenarios, the system should be able to maintain a global feasible QoS level while allowing individual nodes to autonomously adapt under different constraints of resource availability and input quality. This paper shows how decentralised coordination of a group of autonomous interdependent nodes can emerge with little communication, based on the robust self-organising principles of feedback. Positive feedback is used to reinforce the selection of the new desired global service solution, while negative feedback discourages nodes to act in a greedy fashion as this adversely impacts on the provided service levels at neighbouring nodes. The proposed protocol is general enough to be used in a wide range of scenarios characterised by a high degree of openness and dynamism where coordination tasks need to be time dependent. As the reported results demonstrate, it requires less messages to be exchanged and it is faster to achieve a globally acceptable near-optimal solution than other available approaches.

Estudo da turvação em rede de abastecimento de água a alta pressão no grande porto

A turvação é uma das principais preocupações das empresas de rede de distribuição de água potável. Para se saber a sua origem existem diversos mecanismos, sugeridos em bibliografia, que explicam a formação de depósitos de partículas nas tubagens, que se acumulam em camadas sobrepostas, criando entre si forças de coesão. A turvação pode surgir se o caudal ou a velocidade na tubagem aumentar, por alguma razão, pois um aumento da tensão de corte sobre o depósito, pode superar as forças de coesão levando à sua ressuspensão. Esta explicação é traduzida matematicamente pelo modelo PODDS (Prediction of Discolouration in Drinking Water Distribtuion System). O modelo PODDS foi compilado em EPANET recentemente por uma equipa de investigadores da Universidade de Sheffield e foi utilizado para fazer o estudo num ramal da empresa AdDP - Águas do Douro e Paiva, SA. Os resultados das simulações permitirão prever o caudal mínimo teórico a utilizar no ramal que origina o valor limite de turvação. Foram realizados ensaios de variação do caudal no ramal de Jovim-Ramalde para a calibração do modelo. Os parâmetros obtidos foram: Cmáx igual a 100 NTUm, b e n igual a 1, k é igual -1 NTUm3/N, e por fim, P igual a 0,0001 NTUm3/N.s. Após calibração do modelo realizaram-se simulações com atualização das forças de coesão para conhecer o caudal que provocaria a mobilização das partículas até uma turvação de 4 NTU e concluiu-se que o valor seria de 4,32 m3/s. O tempo necessário para regressar a valores inferiores a 1 NTU também foi determinado e 4 horas e 8 minutos foi o valor alcançado. Por fim realizou-se um estudo da influência da temperatura neste modelo e o resultado mostrou que este parâmetro é pouco influente para a gama de temperaturas considerada.

Real-Time Application Mapping for Many-Cores Using a Limited Migrative Model

Many-core platforms are an emerging technology in the real-time embedded domain. These devices offer various options for power savings, cost reductions and contribute to the overall system flexibility, however, issues such as unpredictability, scalability and analysis pessimism are serious challenges to their integration into the aforementioned area. The focus of this work is on many-core platforms using a limited migrative model (LMM). LMM is an approach based on the fundamental concepts of the multi-kernel paradigm, which is a promising step towards scalable and predictable many-cores. In this work, we formulate the problem of real-time application mapping on a many-core platform using LMM, and propose a three-stage method to solve it. An extended version of the existing analysis is used to assure that derived mappings (i) guarantee the fulfilment of timing constraints posed on worst-case communication delays of individual applications, and (ii) provide an environment to perform load balancing for e.g. energy/thermal management, fault tolerance and/or performance reasons.

A Multi-DAG Model for Real-Time Parallel Applications with Conditional Execution

The 30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015). 13 to 17, Apr, 2015, Embedded Systems. Salamanca, Spain.

A system model and stack for the parallelization of time-critical applications on many-core architectures

3rd Workshop on High-performance and Real-time Embedded Systems (HIRES 2015). 21, Jan, 2015. Amsterdam, Netherlands.