Comparação dos ensaios DCB e TDCB para determinação da tenacidade em tração de adesivos estruturais

O constante desenvolvimento observado nas ligações adesivas, em conjunto com as melhorias verificadas nas características dos adesivos, estão a ser traduzidos, de uma certa forma, num aumento das aplicações das ligações adesivas, assim como na variedade de aplicações. No âmbito da previsão de resistência de juntas adesivas, dois métodos de grande relevância são a Mecânica da Fratura e os Modelos de Dano Coesivo. Os Modelos de Dano Coesivo permitem a simulação da iniciação e propagação do dano, recorrendo ao Método Dos Elementos Finitos. No que concerne à Mecânica da Fratura, a previsão de resistência é geralmente feita através de uma análise energética. Independentemente da forma como é obtida, a taxa crítica de libertação de energia de deformação à tração (GIc) dos adesivos é um dos parâmetros mais importantes para a previsão da resistência das juntas. Dois dos ensaios mais utilizados são o Double Cantilever Beam (DCB) e o Tapered Double Cantilever Beam (TDCB). Este trabalho pretende determinar e comparar o valor de GIc em juntas adesivas pelos ensaios DCB e TDCB. São utilizados três tipos de adesivos com diferentes graus de ductilidade. No ensaio DCB os métodos utilizados para a determinação de GIc são: Compliance-Based Beam Method (CBBM), Corrected Beam Theory (CBT) e Compliance Calibration Method (CCM). Os métodos utilizados no ensaio TDCB são: Simple Beam Theory (SBT), Corrected Beam Theory (CBT) e Compliance Calibration Method (CCM). Os resultados obtidos apresentam concordância entre os vários métodos de cada ensaio. A discrepância de resultados é superior quando comparados os dois tipos de ensaios.

A multi-objective optimization of the active and reactive resource scheduling at a distribution level in a smart grid context

In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives.

Determinação da tenacidade à fratura em corte (GIIc) de adesivos estruturais pelo ensaio End-Notched Flexure (ENF)

Os adesivos têm sido alvo de estudo ao longo dos últimos anos para ligação de componentes a nível industrial. Devido à crescente utilização das juntas adesivas, torna-se necessária a existência de modelos de previsão de resistência que sejam fiáveis e robustos. Neste âmbito, a determinação das propriedades dos adesivos é fundamental para o projeto de ligações coladas. Uma abordagem recente consiste no uso de modelos de dano coesivo (MDC), que permitem simular o comportamento à fratura das juntas de forma bastante fiável. Esta técnica requer a definição das leis coesivas em tração e corte. Estas leis coesivas dependem essencialmente de 2 parâmetros: a tensão limite e a tenacidade no modo de solicitação respetivo. O ensaio End-Notched Flexure (ENF) é o mais utilizado para determinar a tenacidade em corte, porque é conhecido por ser o mais expedito e fiável para caraterizar este parâmetro. Neste ensaio, os provetes são sujeitos a flexão em 3 pontos, sendo apoiados nas extremidades e solicitados no ponto médio para promover a flexão entre substratos, o que se reflete numa solicitação de corte no adesivo. A partir deste ensaio, e após de definida a tenacidade em corte (GIIc), existem alguns métodos para estimativa da lei coesiva respetiva. Nesta dissertação são definidas as leis coesivas em corte de três adesivos estruturais através do ensaio ENF e um método inverso de ajuste dos dados experimentais. Para o efeito, foram realizados ensaios experimentais considerado um adesivo frágil, o Araldite® AV138, um adesivo moderadamente dúctil, o Araldite® 2015 e outro dúctil, o SikaForce® 7752. O trabalho experimental consistiu na realização dos ensaios ENF e respetivo tratamento dos dados para obtenção das curvas de resistência (curvas-R) através dos seguintes métodos: Compliance Calibration Method (CCM), Direct Beam Theory (DBT), Corrected Beam Theory (CBT) e Compliance-Based Beam Method (CBBM). Os ensaios foram simulados numericamente pelo código comercial ABAQUS®, recorrendo ao Métodos de Elementos Finitos (MEF) e um MDC triangular, com o intuito de estimar a lei coesiva de cada um dos adesivos em solicitação de corte. Após este estudo, foi feita uma análise de sensibilidade ao valor de GIIc e resistência coesiva ao corte (tS 0), para uma melhor compreensão do efeito destes parâmetros na curva P- do ensaio ENF. Com o objetivo de testar adequação dos 4 métodos de obtenção de GIIc usados neste trabalho, estes foram aplicados a curvas P- numéricas de cada um dos 3 adesivos, e os valores de GIIc previstos por estes métodos comparados com os respetivos valores introduzidos nos modelos numéricos. Como resultado do trabalho realizado, conseguiu-se obter uma lei coesiva única em corte para cada um dos 3 adesivos testados, que é capaz de reproduzir com precisão os resultados experimentais.

Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology

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

Characterization of processed materials by electrical currents: development of equipment and applications

Dissertação para obtenção do Grau de Mestre em Engenharia Mecânica

Report of a traineeship : audit of antidepressant prescribing in Primary and Mental Care: how to address appropriateness and keep a curb on costs. A tool suitable for all contexts?

RESUMO: Este é o relatório de um estágio realizado na Autoridade de Saúde Local de Bolonha com o objectivo de desenvolver capacidades e competências na área de projectos orientados para a avaliação com base epidemiológica. As prescrições de anti-depressivos aumentaram consideravelmente em todo o mundo durante as últimas décadas. O uso cada vez maior dos agentes mais dispendiosos desempenha um papel na subida do custo dos tratamentos. A Autoridade de Saúde Local de Bolonha implementou um processo de auditoria com o objectivo de melhorar a adequação das prescrições de pacientes externos, centrando-se em dois anti-depressivos de marca ainda protegidos por patente, Escitalopram e Duloxetine. Os Departamentos de Cuidados de Saúde Primários e de Cuidados de Saúde Mental, assim como o Departamento Farmacêutico e a Unidade de Gestão Clínica, estiveram envolvidos na fase de planeamento da auditoria. O grupo da auditoria, maioritariamente composto por médicos de clínica geral e psiquiatras, reuniu e analisou provas da eficácia e segurança dos anti-depressivos. Os dados sobre as prescrições das Unidades de Cuidados de Saúde Primários e dos Centros de Saúde Mental Comunitários da Autoridade de Saúde Local (866.294 habitantes) foram comparados, em particular as taxas de consumo de Escitalopram e Duloxetine. O grupo da auditoria definiu os standards a serem abordados, os indicadores a serem avaliados e as medidas a empreender para atingir os objectivos definidos. As directrizes do NICE sobre a depressão foram escolhidas como referência. O objectivo da auditoria foi definido como evitar o Escitalopram e Duloxetine como medicamentos de primeira escolha num tratamento anti-depressivo. De modo a verificar a eficácia das medidas empreendidas foi seleccionado um indicador, consistindo numa redução de 25% das prescrições de ambos os anti-depressivos na prática clínica de pacientes externos e numa redução de 20% da variabilidade nas Unidades de Cuidados de Saúde Primários. O relatório retrospectivo pré-auditoria (Janeiro a Abril de 2012) revelou que os tratamentos com anti-depressivos para pacientes externos eram prescritos pelos médicos de clínica geral em mais de90% dos casos. As medidas da auditoria foram implementadas entre Novembro de 2012 e Maio de 2013. Algumas medidas relevantes foram integradas com a revisão da auditoria, tais como reuniões educacionais de pequena escala com os médicos de clínica geral e psiquiatras, visitas de apoio do assessor de prescrições da Autoridade de Saúde Local aos médicos de clínica geral e Centros de Saúde Mental Comunitários, panfletos para profissionais com informação retirada das directrizes clínicas do NICE, implementação de um serviço de consulta na Web para médicos de clínica geral sobre provas relativas a anti-depressivos. O relatório de feedback é aguardado em Novembro de 2013 depois de se verificar nos standards atingidos a eficácia das medidas implementadas. Foi realizada uma análise SWOT para comprovar as forças e fraquezas, as oportunidades e ameaças do processo. Como identificação de fraquezas poderá ser útil identificar estratégias relevantes para melhoria interna, para que o conhecimento das ameaças possa amortizar factores que possam ter impactos adversos que fujam ao controlo do Departamento de Saúde Mental. Uma melhor compreensão das forças e das oportunidades facilita a consecução dos objectivos estabelecidos no projecto. O primeiro, mas não o último, resultado deste processo consistiu numa maior integração entre os Cuidados de Saúde Primários e de Saúde Mental, permitindo assim que a Autoridade de Saúde Local coloque as alterações em prática.------------ABSTRACT: This is the report of a traineeship held in the Local Health Authority of Bologna with the aim to develop skills and competencies in the field of epidemiogically based evaluation oriented projects. Antidepressants prescriptions have considerably increased all over the world in the last decades. The increasing use of the most expensive agents plays a part in the rising cost of treatments. The Local Health Authority of Bologna has implemented an audit process aimed at improving the appropriateness of outpatient prescriptions focusing on the two branded antidepressants still protected by patent, Escitalopram and Duloxetine. The Primary Care and the Mental Health Care Departments, as well as the Pharmaceutical Department and the Clinical Governance Unit, were involved in the planning phase of the audit. The audit group, mainly composed of general practitioners and psychiatrists, collected and analyzed scientific evidence on effectiveness and safety of antidepressants. Data on prescriptions of Primary Care Units and Community Mental Health Centers of the Local Health Authority (866.294 inhabitants) were compared, in particular consumption rates of Escitalopram and Duloxetine. The audit group defined the standards to be addressed, the indicators to be evaluated and the actions aimed at reaching the defined goals. NICE guidelines on depression were chosen as reference. The aim of the audit was settled as avoiding Escitalopram and Duloxetine as first choice drugs starting an AD treatment. In order to check the efficacy of the actions undertaken an indicator was selected, consisting in a reduction of 25% of prescriptions of both ADs in outpatient practice and in a 20% reduction of To develop skills and competencies across Primary Care Units. The pre-audit retrospective report (January-April 2012) showed that outpatient antidepressant treatments were prescribed by GPs in over 90% of cases. Audit actions were implemented between November 2012 and May 2013. Some relevant actions have been integrated with the audit review, such as small-scale educational meetings with GPs and psychiatrists, outreach visits of the LHA prescribing adviser to GPs and CMHCs,leaflets for professionals with information extracted from NICE clinical guidelines, implementation of a web consultation service for GPs about evidence on antidepressants. The feedback report is expected in November 2013 after checking through the standards attained the effectiveness of actions implemented. A SWOT Analysis was carried out to evidence the strengths and weaknesses, opportunities and threats of the process. As identification of weaknesses may be useful to identify relevant strategies for internal improvement, so the knowledge of threats can amortize factors that may have adverse impacts beyond the control of the Mental Health Department. Better understanding of the strengths and the opportunities facilitates the achievement of the goals set in the project. The first and not least upshot of this process has consisted in further integration between Primary and Mental Health Care, thus enabling the LHA to put the change into practice.

Rectangular flaps technique for treatment of congenital hand syndactyly

The authors analysed a series of 22 patients undergoing surgical correction of congenital hand syndactyly by the rectangular flap technique. Using our evaluation method, we found that good functional and aesthetic results were obtained in 77.3% of the patients, with a complication rate of 13.6%. We concluded that the rectangular flap technique has a simple design, is easily reproducible by in-training staff, has good results, and can be applied on the majority of the syndactyly cases.

Modeling and optimization of extracellular polysaccharides production by Enterobacter A47

Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.

Organic-inorganic nanostructured multilayers for calcium phosphate biomineralization

The weak fixation of biomaterials within the bone structure is one of the major reasons of implants failures. Calcium phosphate (CaP) coatings are used in bone tissue engineering to improve implant osseointegration by enhancing cellular adhesion, proliferation and differentiation, leading to a tight and stable junction between implant and host bone. It has also been observed that materials compatible with bone tissue either have a CaP coating or develop such a calcified surface upon implantation. Thus, the development of bioactive coatings becomes essential for further improvement of integration with the surrounding tissue. However, most of current applied CaP coatings methods (e.g. physical vapor deposition), cannot be applied to complex shapes and porous implants, provide poor structural control over the coating and prevent incorporation of bioactive organic compounds (e.g. antibiotics, growth factors) because of the used harsh processing conditions. Layer-by-layer (LbL) is a versatile technology that permits the building-up of multilayered polyelectrolyte films in mild conditions based on the alternate adsorption of cationic and anionic elements that can integrate bioactive compounds. As it is recognized in natureâ s biomineralization process the presence of an organic template to induce mineral deposition, this work investigate a ion based biomimetic method where all the process is based on LbL methodology made of weak natural-origin polyelectrolytes. A nanostructured multilayer component, with 5 or 10 bilayers, was produced initially using chitosan and chondroitin sulphate polyelectrolyte biopolymers, which possess similarities with the extracellular matrix and good biocompatibility. The multilayers are then rinsed with a sequential passing of solutions containing Ca2+ and PO43- ions. The formation of CaP over the polyelectrolyte multilayers was confirmed by QCM-D, SEM and EDX. The outcomes show that 10 polyelectrolyte bilayer condition behaved as a  better site for initiating the formation of CaP as the precipitation occur at earlier stages than in 5 polyelectrolyte bilayers one. This denotes that higher number of bilayers could hold the CaP crystals more efficiently. This work achieved uniform coatings that can be applied to any surface with access to the liquid media in a low-temperature method, which potentiates the manufacture of effective bioactive biomaterials with great potential in orthopedic applications.

Small mammal distributional patterns in Northwestern Argentina

ABSTRACT Quantitative evaluations of species distributional congruence allow evaluating previously proposed biogeographic regionalization and even identify undetected areas of endemism. The geographic scenery of Northwestern Argentina offers ideal conditions for the study of distributional patterns of species since the boundaries of a diverse group of biomes converge in a relatively small region, which also includes a diverse fauna of mammals. In this paper we applied a grid-based explicit method in order to recognize Patterns of Distributional Congruence (PDCs) and Areas of Endemism (AEs), and the species (native but non-endemic and endemic, respectively) that determine them. Also, we relate these distributional patterns to traditional biogeographic divisions of the study region and with a very recent phytogeographic study and we reconsider what previously rejected as 'spurious' areas. Finally, we assessed the generality of the patterns found. The analysis resulted in 165 consensus areas, characterized by seven species of marsupials, 28 species of bats, and 63 species of rodents, which represents a large percentage of the total species (10, 41, and 73, respectively). Twenty-five percent of the species that characterize consensus areas are endemic to the study region and define six AEs in strict sense while 12 PDCs are mainly defined by widely distributed species. While detailed quantitative analyses of plant species distribution data made by other authors does not result in units that correspond to Cabrera's phytogeographic divisions at this spatial scale, analyses of animal species distribution data does. We were able to identify previously unknown meaningful faunal patterns and more accurately define those already identified. We identify PDCs and AEs that conform Eastern Andean Slopes Patterns, Western High Andes Patterns, and Merged Eastern and Western Andean Slopes Patterns, some of which are re-interpreted at the light of known patterns of the endemic vascular flora. Endemism do not declines towards the south, but do declines towards the west of the study region. Peaks of endemism are found in the eastern Andean slopes in Jujuy and Tucumán/Catamarca, and in the western Andean biomes in Tucumán/Catamarca. The principal habitat types for endemic small mammal species are the eastern humid Andean slopes. Notwithstanding, arid/semi-arid biomes and humid landscapes are represented by the same number of AEs. Rodent species define 15 of the 18 General Patterns, and only in one they have no participation at all. Clearly, at this spatial scale, non-flying mammals, particularly rodents, are biogeographically more valuable species than flying mammals (bat species).

Assessing the structural change of strategic mobility: determinants under hypercompetitive environments

The primary purpose of this exploratory empirical study is to examine the structural stability of a limited number of alternative explanatory factors of strategic change. On the basis of theoretical arguments and prior empirical evidence from two traditional perspectives, we propose an original empirical framework to analyse whether these potential explanatory factors have remained stable over time in a highly turbulent environment. This original question is explored in a particular setting: the population of Spanish private banks. The firms of this industry have experienced a high level of strategic mobility as a consequence of fundamental changes undergone in their environmental conditions over the last two decades (mainly changes related to the new banking and financial regulation process). Our results consistently support that the effect of most explanatory factors of strategic mobility considered did not remain stable over the whole period of analysis. From this point of view, the study sheds new light on major debates and dilemmas in the field of strategy regarding why firms change their competitive patterns over time and, hence, to what extent the "contextdependency" of alternative views of strategic change as their relative validation can vary over time for a given population. Methodologically, this research makes two major contributions to the study of potential determinants of strategic change. First, the definition and measurement of strategic change employing a new grouping method, the Model-based Cluster Method or MCLUST. Second, in order to asses the possible effect of determinants of strategic mobility we have controlled the non-observable heterogeneity using logistic regression models for panel data.

6

The use of the Internet now has a specific purpose: to find information. Unfortunately, the amount of data available on the Internet is growing exponentially, creating what can be considered a nearly infinite and ever-evolving network with no discernable structure. This rapid growth has raised the question of how to find the most relevant information. Many different techniques have been introduced to address the information overload, including search engines, Semantic Web, and recommender systems, among others. Recommender systems are computer-based techniques that are used to reduce information overload and recommend products likely to interest a user when given some information about the user's profile. This technique is mainly used in e-Commerce to suggest items that fit a customer's purchasing tendencies. The use of recommender systems for e-Government is a research topic that is intended to improve the interaction among public administrations, citizens, and the private sector through reducing information overload on e-Government services. More specifically, e-Democracy aims to increase citizens' participation in democratic processes through the use of information and communication technologies. In this chapter, an architecture of a recommender system that uses fuzzy clustering methods for e-Elections is introduced. In addition, a comparison with the smartvote system, a Web-based Voting Assistance Application (VAA) used to aid voters in finding the party or candidate that is most in line with their preferences, is presented.

Comparison of two PCR methods for detection of Leptospira interrogans in formalin-fixed and paraffin-embedded tissues

In this study we compared two polymerase chain reaction (PCR) methods using either 16S ribosomal RNA (rRNA) or 23S rRNA gene primers for the detection of different Leptospira interrogans serovars. The performance of these two methods was assessed using DNA extracted from bovine tissues previously inoculated with several bacterial suspensions. PCR was performed on the same tissues before and after the formalin-fixed, paraffin-embedding procedure (FFPE tissues). The 23S rDNA PCR detected all fresh and FFPE positive tissues while the 16S rDNA-based protocol detected primarily the positive fresh tissues. Both methods are specific for pathogenic L. interrogans. The 23S-based PCR method successfully detected Leptospira in four dubious cases of human leptospirosis from archival tissue specimens and one leptospirosis-positive canine specimen. A sensitive method for leptospirosis identification in FFPE tissues would be a useful tool to screen histological specimen archives and gain a better assessment of human leptospirosis prevalence, especially in tropical countries, where large outbreaks can occur following the rainy season.

Positioning an underwater vehicle through image mosaicking

Mosaics have been commonly used as visual maps for undersea exploration and navigation. The position and orientation of an underwater vehicle can be calculated by integrating the apparent motion of the images which form the mosaic. A feature-based mosaicking method is proposed in this paper. The creation of the mosaic is accomplished in four stages: feature selection and matching, detection of points describing the dominant motion, homography computation and mosaic construction. In this work we demonstrate that the use of color and textures as discriminative properties of the image can improve, to a large extent, the accuracy of the constructed mosaic. The system is able to provide 3D metric information concerning the vehicle motion using the knowledge of the intrinsic parameters of the camera while integrating the measurements of an ultrasonic sensor. The experimental results of real images have been tested on the GARBI underwater vehicle

Multi-modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 data fusion contest

The 2009-2010 Data Fusion Contest organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society was focused on the detection of flooded areas using multi-temporal and multi-modal images. Both high spatial resolution optical and synthetic aperture radar data were provided. The goal was not only to identify the best algorithms (in terms of accuracy), but also to investigate the further improvement derived from decision fusion. This paper presents the four awarded algorithms and the conclusions of the contest, investigating both supervised and unsupervised methods and the use of multi-modal data for flood detection. Interestingly, a simple unsupervised change detection method provided similar accuracy as supervised approaches, and a digital elevation model-based predictive method yielded a comparable projected change detection map without using post-event data.