Viscosity and self-diffusion coefficients of dialkyl adipates: a correlation scheme with predictive capabilities

A correlation and predictive scheme for the viscosity and self-diffusivity of liquid dialkyl adipates is presented. The scheme is based on the kinetic theory for dense hard-sphere fluids, applied to the van der Waals model of a liquid to predict the transport properties. A "universal" curve for a dimensionless viscosity of dialkyl adipates was obtained using recently published experimental viscosity and density data of compressed liquid dimethyl (DMA), dipropyl (DPA), and dibutyl (DBA) adipates. The experimental data are described by the correlation scheme with a root-mean-square deviation of +/- 0.34 %. The parameters describing the temperature dependence of the characteristic volume, V-0, and the roughness parameter, R-eta, for each adipate are well correlated with one single molecular parameter. Recently published experimental self-diffusion coefficients of the same set of liquid dialkyl adipates at atmospheric pressure were correlated using the characteristic volumes obtained from the viscosity data. The roughness factors, R-D, are well correlated with the same single molecular parameter found for viscosity. The root-mean-square deviation of the data from the correlation is less than 1.07 %. Tests are presented in order to assess the capability of the correlation scheme to estimate the viscosity of compressed liquid diethyl adipate (DEA) in a range of temperatures and pressures by comparison with literature data and of its self-diffusivity at atmospheric pressure in a range of temperatures. It is noteworthy that no data for DEA were used to build the correlation scheme. The deviations encountered between predicted and experimental data for the viscosity and self-diffusivity do not exceed 2.0 % and 2.2 %, respectively, which are commensurate with the estimated experimental measurement uncertainty, in both cases.

Utilização do algoritmo Self-Organizing Map na caracterização de organizações públicas portuguesas.

Dissertação apresentada como requisito parcial para a obtenção do grau de mestre em Estatística e Gestão de Informação.

Natural and amyloid self-assembly of S100 proteins: structural basis of functional diversity

The S100 proteins are 10-12 kDa EF-hand proteins that act as central regulators in a multitude of cellular processes including cell survival, proliferation, differentiation and motility. Consequently, many S100 proteins are implicated and display marked changes in their expression levels in many types of cancer, neurodegenerative disorders, inflammatory and autoimmune diseases. The structure and function of S100 proteins are modulated by metal ions via Ca2+ binding through EF-hand motifs and binding of Zn2+ and Cu2+ at additional sites, usually at the homodimer interfaces. Ca2+ binding modulates S100 conformational opening and thus promotes and affects the interaction with p53, the receptor for advanced glycation endproducts and Toll-like receptor 4, among many others. Structural plasticity also occurs at the quaternary level, where several S100 proteins self-assemble into multiple oligomeric states, many being functionally relevant. Recently, we have found that the S100A8/A9 proteins are involved in amyloidogenic processes in corpora amylacea of prostate cancer patients, and undergo metal-mediated amyloid oligomerization and fibrillation in vitro. Here we review the unique chemical and structural properties of S100 proteins that underlie the conformational changes resulting in their oligomerization upon metal ion binding and ultimately in functional control. The possibility that S100 proteins have intrinsic amyloid-forming capacity is also addressed, as well as the hypothesis that amyloid self-assemblies may, under particular physiological conditions, affect the S100 functions within the cellular milieu.

Sentido de coerência : ligação materno-fetal e estilo de vida da mulher durante a gravidez

RESUMO - Um dos grandes desafios actuais enfrentados pela Saúde Pública diz respeito ao fardo representado pelas doenças crónicas não transmissíveis enquanto co-responsáveis pela maioria das mortes que ocorrem no mundo, pela significativa e progressiva redução da qualidade de vida e aumento das incapacidades dos indivíduos afectados e por uma fasquia bastante elevada das despesas em saúde. Entretanto, a complexa dinâmica genética, biológica, psicológica, afectiva, sócio-cultural e ambiental que envolve o comportamento humano, tão amplamente relacionado com algumas destas doenças – doenças cardiovasculares, alguns tipos de cancro, obesidade, hipertensão, diabetes e doenças osteo-articulares – impõe o desafio constante da busca de novas e efectivas intervenções em promoção da saúde que influenciem positivamente os estilos de vida dos indivíduos, dos grupos e das comunidades. Sendo o sentido de coerência um traço da personalidade do indivíduo desenvolvido sob a influência directa ou indirecta dos mesmo factores acima referidos, o estabelecimento de uma relação entre este constructo e os comportamentos humanos pode revelar-se promissor para a elaboração de novas intervenções em promoção da saúde. Por sua vez, a gravidez, talvez por influência da ligação materno-fetal, pode representar um ponto de viragem na vida da mulher no que respeita ao sentido de coerência e aos comportamentos de saúde e um bom começo na vida do bebé que irá nascer sob a influência dos mesmos. Com a finalidade de contribuir para a construção de intervenções efectivas em promoção da saúde, através da descoberta de prováveis potencialidades salutogénicas dos constructos referidos – sentido de coerência e ligação materno-fetal –, foi desenvolvido um estudo quantitativo, observacional que teve por objectivos: ampliar o conhecimento sobre as mudanças do sentido de coerência no decorrer da vida, especificamente durante a gravidez; ampliar o conhecimento acerca das relações de alguns factores de natureza sócio-demográfica, psico-afectiva e obstétrica com o sentido de coerência das mulheres grávidas e com a ligação materno-fetal; e identificar possíveis relações entre o sentido de coerência, a ligação materno-fetal e o estilo de vida das mulheres grávidas, este último representado pelos hábitos alimentares, consumo de cafeína, consumo de álcool, hábitos tabágicos, prática regular de actividade física e ganho de peso durante a gravidez. O presente relatório descreve a concepção e os resultados deste estudo, que envolveu a uma amostra de 61 mulheres grávidas que estavam a ser acompanhadas nos serviços de saúde materna dos Centros de Saúde de Carnaxide extensão Linda-a-Velha e de Oeiras, no Distrito de Lisboa, Portugal, entre os meses de Fevereiro e Julho de 2005. Os resultados demonstram que, para a amostra de 61 mulheres grávidas que responderam ao inquérito por questionário de auto-resposta, foram encontradas associações estatisticamente significativas entre o sentido de coerência e a escolaridade e entre o sentido de coerência e a percepção do próprio estado de saúde. Além disso, foi encontrada alguma evidência das associações entre o sentido de coerência e a faixa etária, estado civil e rendimento mensal familiar e foi observada alguma tendência para que as mulheres grávidas com níveis de sentido de coerência mais elevados consumissem menos álcool do que as mulheres grávidas com níveis de sentido de coerência inferiores. Entretanto, as demais associações testadas não foram confirmadas. Relativamente à ligação materno-fetal, foram encontradas, para a amostra de 41 mulheres grávidas que participaram do segundo momento de colheita de dados do estudo, entre a 20ª e a 24ª semanas de gravidez, associações estatisticamente significativas com a escolaridade e o nível de rendimento familiar das mulheres grávidas, não tendo sido confirmadas as demais associações testadas. Embora não tenham sido estatisticamente evidenciadas as relações entre o sentido de coerência e a ligação materno-fetal e entre estes e os comportamentos de saúde, o carácter preliminar destes resultados, devido à subjectividade do processo de selecção não probabilístico da amostra estudada e à reduzida dimensão desta amostra, e a escassez de estudos descritos na literatura fazem com que seja prudente a realização de estudos de follow-up, com amostras de maiores dimensões, aleatórias e representativas da população, para que sejam estabelecidas quaisquer conclusões acerca destas questões.-----------------------------ABSTRACT - One of the greatest challenges faced by Public Health in nowadays is the burden represented by chronic diseases as co-responsible for the majority of deaths that occurs in the world, for the meaningful and progressive reduction of quality of life and increase of disabilities in affected individuals and for an important part of health expenses. However, the complexity of the genetic, biological, psychological, emotional, social, cultural and environmental dynamics that involves human behaviours related to some of these diseases – cardiovascular diseases, some kind of cancers, obesity, hypertension, diabetes and joint and bone diseases – poses the continuous challenge of searching for new and effective interventions of health promotion that positively influence individuals, groups and community lifestyles. Due to the fact that sense of coherence is an individual personality trace directly or indirectly influenced by the same factors listed above, the discovery of a relationship between this construct and human behaviours might be promising to the creation of new health promotion interventions. On the other hand, pregnancy may represent a turn point to the mother’s life and a good start in the baby’s life in relation to sense of coherence and health behaviours and It might occur because of the influence of maternal-fetal attachment. With the purpose of contributing with the creation of effective health promotion interventions through the discovery of probable salutogenic potentials in the referred constructs – sense of coherence and maternal-fetal attachment – , it was developed a quantitative observational study with the following objectives: to increase knowledge about changes in sense of coherence throughout life, specifically during pregnancy; to increase knowledge about the relationship between sense of coherence and maternal-fetal attachment and some social, demographical, psychological, emotional and obstetric factors of pregnant women; to identify probable relationships between sense of coherence, maternal-fetal attachment and pregnant women’s lifestyles, represented by diet habits, caffeine consumption, alcohol consumption, smoking habits, physical activity habits and weigh gain during pregnancy. This report describes the structure and the findings of this study involving a sample of 61 pregnant women who had been followed by health professionals in the mother health services of Carnaxide (Linda-a-Velha unity) and Oeiras Health Centres, in Lisbon, Portugal, between February and July of 2005. The results show that, for the 61 pregnant women who filled the self-reported questionnaire, it was found a statistically significant association between sense of coherence and education level. It was also found some evidence of the associations between sense of coherence and age, marital status and mensal household income and a trend toward pregnant women with higher levels of sense of coherence to drink less alcoholic beverages than pregnant women with lower levels of sense of coherence. However, the others associations tested were not confirmed. Regarding maternal-fetal attachment, it was found, for the sample of 41 women who participated in the second moment of data collection, between the 20th and the 24th week of pregnancy, statistically significant associations with education level and mensal household income. The others associations tested were not confirmed. Although the associations between sense of coherence and maternal-fetal attachment and between these constructs and health behaviours were not confirmed, all findings presented here are considered preliminary because of small dimension of sample and non-probabilistic criteria used for sample selection. What’s more, there are almost no studies described in the literature which could confirm or contradict these findings. Therefore, it is better to be careful and develop follow-up studies, with bigger and representative of population samples, before draw any conclusions about these theme.

Determinants of frailty: the added value of assessing medication

This study aims to analyze which determinants predict frailty in general and each frailty domain (physical, psychological, and social), considering the integral conceptual model of frailty, and particularly to examine the contribution of medication in this prediction. A cross-sectional study was designed using a non-probabilistic sample of 252 community-dwelling elderly from three Portuguese cities. Frailty and determinants of frailty were assessed with the Tilburg Frailty Indicator. The amount and type of different daily-consumed medication were also examined. Hierarchical regression analysis were conducted. The mean age of the participants was 79.2 years (±7.3), and most of them were women (75.8%), widowed (55.6%) and with a low educational level (0–4 years: 63.9%). In this study, determinants explained 46% of the variance of total frailty, and 39.8, 25.3, and 27.7% of physical, psychological, and social frailty respectively. Age, gender, income, death of a loved one in the past year, lifestyle, satisfaction with living environment and self-reported comorbidity predicted total frailty, while each frailty domain was associated with a different set of determinants. The number of daily-consumed drugs was independently associated with physical frailty, and the consumption of medication for the cardiovascular system and for the blood and blood-forming organs explained part of the variance of total and physical frailty. The adverse effects of polymedication and its direct link with the level of comorbidities could explain the independent contribution of the amount of prescribed drugs to frailty prediction. On the other hand, findings in regard to medication type provide further evidence of the association of frailty with cardiovascular risk. In the present study, a significant part of frailty was predicted, and the different contributions of each determinant to frailty domains highlight the relevance of the integral model of frailty. The added value of a simple assessment of medication was considerable, and it should be taken into account for effective identification of frailty.

Maximizing the Social Welfare of Virtual Power Players Operation in Case of Excessive Wind Power

The integration of growing amounts of distributed generation in power systems, namely at distribution networks level, has been fostered by energy policies in several countries around the world, including in Europe. This intensive integration of distributed, non-dispatchable, and natural sources based generation (including wind power) has caused several changes in the operation and planning of power systems and of electricity markets. Sometimes the available non-dispatchable generation is higher than the demand. This generation must be used; otherwise it is wasted if not stored or used to supply additional demand. New policies and market rules, as well as new players, are needed in order to competitively integrate all the resources. The methodology proposed in this paper aims at the maximization of the social welfare in a distribution network operated by a virtual power player that aggregates and manages the available energy resources. When facing a situation of excessive non-dispatchable generation, including wind power, real time pricing is applied in order to induce the increase of consumption so that wind curtailment is minimized. This method is especially useful when actual and day-ahead resources forecast differ significantly. The distribution network characteristics and concerns are addressed by including the network constraints in the optimization model. The proposed methodology has been implemented in GAMS optimization tool and its application is illustrated in this paper using a real 937-bus distribution network with 20.310 consumers and 548 distributed generators, some of them non-dispatchable and with must take contracts. The implemented scenario corresponds to a real day in Portuguese power system.

Constrained Consumption Shifting Management in the Distributed Energy Resources Scheduling Considering Demand Response

Demand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods.

Analysis of Consumption Data to Detect Commercial Losses Using Performance Evaluation Methods in a Smart Grid

Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers’ performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.

Domestic Consumption Simulation and Management Using a Continuous Consumption Management and Optimization Algorithm

The recent changes concerning the consumers’ active participation in the efficient management of load devices for one’s own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.

Caracterização da situação orçamental no poder local em indicadores orçamentais e self-organizing map.

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação.

Optimization of Generation and Aggregated Consumption Shifting for Demand Response Programs Definition

The concept of demand response has drawing attention to the active participation in the economic operation of power systems, namely in the context of recent electricity markets and smart grid models and implementations. In these competitive contexts, aggregators are necessary in order to make possible the participation of small size consumers and generation units. The methodology proposed in the present paper aims to address the demand shifting between periods, considering multi-period demand response events. The focus is given to the impact in the subsequent periods. A Virtual Power Player operates the network, aggregating the available resources, and minimizing the operation costs. The illustrative case study included is based on a scenario of 218 consumers including generation sources.

Using Typical Consumption Profiles to Stablish the Consumption Level for Short Time Periods

The current practices in the consumption metering by electricity utilities is currently largely based on monthly consumption reading. The consumption metering device is always calculating the cumulative consumption. Then, it is possible to calculate the difference between the actual and the previous consumption evaluation in order to estimate the monthly consumption. The power systems planning needs in many aspects to handle consumption data obtained for shorter periods, namely in the Demand Response programs planning. The work presented in this paper is based on the application of typical consumption profiles that are previously defined for a certain power system area. Such profiles are then used in order to estimate the 15 minutes consumption for a certain consumer or consumer type.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

Consumption Management of Air Conditioning Devices for the Participation in Demand Response Programs

Demand Response has been taking over the years an extreme importance. There’s a lot of demand response programs, one of them proposed in this paper, using air conditioners that could increase the power quality and decrease the spent money in many ways like: infrastructures and customers energy bill reduction. This paper proposes a method and a study on how air conditioners could integrate demand response programs. The proposed method has been modelled as an energy resources management optimization problem. This paper presents two case studies, the first one with all costumers participating and second one with some of costumers. The results obtained for both case studies have been analyzed.

Quantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Grids

Demand response programs and models have been developed and implemented for an improved performance of electricity markets, taking full advantage of smart grids. Studying and addressing the consumers’ flexibility and network operation scenarios makes possible to design improved demand response models and programs. The methodology proposed in the present paper aims to address the definition of demand response programs that consider the demand shifting between periods, regarding the occurrence of multi-period demand response events. The optimization model focuses on minimizing the network and resources operation costs for a Virtual Power Player. Quantum Particle Swarm Optimization has been used in order to obtain the solutions for the optimization model that is applied to a large set of operation scenarios. The implemented case study illustrates the use of the proposed methodology to support the decisions of the Virtual Power Player in what concerns the duration of each demand response event.