The usefulness of ultrasound in the classification of chronic liver disease

Chronic Liver Disease is a progressive, most of the time asymptomatic, and potentially fatal disease. In this paper, a semi-automatic procedure to stage this disease is proposed based on ultrasound liver images, clinical and laboratorial data. In the core of the algorithm two classifiers are used: a k nearest neighbor and a Support Vector Machine, with different kernels. The classifiers were trained with the proposed multi-modal feature set and the results obtained were compared with the laboratorial and clinical feature set. The results showed that using ultrasound based features, in association with laboratorial and clinical features, improve the classification accuracy. The support vector machine, polynomial kernel, outperformed the others classifiers in every class studied. For the Normal class we achieved 100% accuracy, for the chronic hepatitis with cirrhosis 73.08%, for compensated cirrhosis 59.26% and for decompensated cirrhosis 91.67%.

Chronic liver disease staging classification based on ultrasound, clinical and laboratorial data

In this work the identification and diagnosis of various stages of chronic liver disease is addressed. The classification results of a support vector machine, a decision tree and a k-nearest neighbor classifier are compared. Ultrasound image intensity and textural features are jointly used with clinical and laboratorial data in the staging process. The classifiers training is performed by using a population of 97 patients at six different stages of chronic liver disease and a leave-one-out cross-validation strategy. The best results are obtained using the support vector machine with a radial-basis kernel, with 73.20% of overall accuracy. The good performance of the method is a promising indicator that it can be used, in a non invasive way, to provide reliable information about the chronic liver disease staging.

Diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data

In this work liver contour is semi-automatically segmented and quantified in order to help the identification and diagnosis of diffuse liver disease. The features extracted from the liver contour are jointly used with clinical and laboratorial data in the staging process. The classification results of a support vector machine, a Bayesian and a k-nearest neighbor classifier are compared. A population of 88 patients at five different stages of diffuse liver disease and a leave-one-out cross-validation strategy are used in the classification process. The best results are obtained using the k-nearest neighbor classifier, with an overall accuracy of 80.68%. The good performance of the proposed method shows a reliable indicator that can improve the information in the staging of diffuse liver disease.

Fatty liver characterization and classification by ultrasound

Steatosis, also known as fatty liver, corresponds to an abnormal retention of lipids within the hepatic cells and reflects an impairment of the normal processes of synthesis and elimination of fat. Several causes may lead to this condition, namely obesity, diabetes, or alcoholism. In this paper an automatic classification algorithm is proposed for the diagnosis of the liver steatosis from ultrasound images. The features are selected in order to catch the same characteristics used by the physicians in the diagnosis of the disease based on visual inspection of the ultrasound images. The algorithm, designed in a Bayesian framework, computes two images: i) a despeckled one, containing the anatomic and echogenic information of the liver, and ii) an image containing only the speckle used to compute the textural features. These images are computed from the estimated RF signal generated by the ultrasound probe where the dynamic range compression performed by the equipment is taken into account. A Bayes classifier, trained with data manually classified by expert clinicians and used as ground truth, reaches an overall accuracy of 95% and a 100% of sensitivity. The main novelties of the method are the estimations of the RF and speckle images which make it possible to accurately compute textural features of the liver parenchyma relevant for the diagnosis.

Validação da versão portuguesa do método 'Internacional Chemical Control Toolkit'

Em Portugal, como em outros países, podem ser encontrados milhares de trabalhadores com doenças e outros problemas resultantes da exposição aos compostos orgânicos voláteis (COV’s). No entanto são poucos os estudos aplicados à actividade industrial. Neste trabalho validou-se/estimou-se a exposição ocupacional a COV´s dos trabalhadores que executam a tarefa de ‘aplicação de revestimento do mobiliário’, mais conhecida por ‘acabamento de móveis’ na secção de acabamentos do sector de mobiliário de madeira, que se situa nos concelhos de Paços de Ferreira e Paredes, concelhos do Norte de Portugal. A amostra foi constituída por 17 empresas e foram avaliados 34 tarefas que corresponde ao mesmo número de trabalhadores, uma vez que eles executam essa tarefa durante as oito horas diárias de trabalho. Para avaliar a exposição dos trabalhadores foram utilizadas duas abordagens da higiene do trabalho: a pragmática, através da aplicação do método Toolkit e a tradicional com recurso a amostragens de ar e análises laboratoriais. Os resultados obtidos sugerem que o Toolkit é uma boa ferramenta para ser utilizada pelas Pequenas e Médias Empresas (PME’s), que trabalhem com substâncias em pó ou líquidas. É um método expedito e que não acarreta grandes esforços financeiros. Verificou-se ainda que a maioria dos trabalhadores estão em risco de exposição a COV’s. Sendo necessário tomar medidas de controlo.

Comparing the content of instruments assessing environmental factors using the International Classification of Functioning, Disability and Health

Purpose: To describe and compare the content of instruments that assess environmental factors using the International Classification of Functioning, Disability and Health (ICF). Methods: A systematic search of PubMed, CINAHL and PEDro databases was conducted using a pre-determined search strategy. The identified instruments were screened independently by two investigators, and meaningful concepts were linked to the most precise ICF category according to published linking rules. Results: Six instruments were included, containing 526 meaningful concepts. Instruments had between 20% and 98% of items linked to categories in Chapter 1. The highest percentage of items from one instrument linked to categories in Chapters 2–5 varied between 9% and 50%. The presence or absence of environmental factors in a specific context is assessed in 3 instruments, while the other 3 assess the intensity of the impact of environmental factors. Discussion: Instruments differ in their content, type of assessment, and have several items linked to the same ICF category. Most instruments primarily assess products and technology (Chapter 1), highlighting the need to deepen the discussion on the theory that supports the measurement of environmental factors. This discussion should be thorough and lead to the development of methodologies and new tools that capture the underlying concepts of the ICF.

Comorbidity adjustment index for the international classification of diseases, 10

OBJECTIVE: To develop a Charlson-like comorbidity index based on clinical conditions and weights of the original Charlson comorbidity index. METHODS: Clinical conditions and weights were adapted from the International Classification of Diseases, 10th revision and applied to a single hospital admission diagnosis. The study included 3,733 patients over 18 years of age who were admitted to a public general hospital in the city of Rio de Janeiro, southeast Brazil, between Jan 2001 and Jan 2003. The index distribution was analyzed by gender, type of admission, blood transfusion, intensive care unit admission, age and length of hospital stay. Two logistic regression models were developed to predict in-hospital mortality including: a) the aforementioned variables and the risk-adjustment index (full model); and b) the risk-adjustment index and patient's age (reduced model). RESULTS: Of all patients analyzed, 22.3% had risk scores >1, and their mortality rate was 4.5% (66.0% of them had scores >1). Except for gender and type of admission, all variables were retained in the logistic regression. The models including the developed risk index had an area under the receiver operating characteristic curve of 0.86 (full model), and 0.76 (reduced model). Each unit increase in the risk score was associated with nearly 50% increase in the odds of in-hospital death. CONCLUSIONS: The risk index developed was able to effectively discriminate the odds of in-hospital death which can be useful when limited information is available from hospital databases.

Avaliação energética do Complexo Municipal de Piscinas de Folgosa

O presente trabalho insere-se no âmbito do Mestrado de Engenharia Química, ramo Optimização Energética na Indústria Química e pretende-se efectuar a avaliação energética do Complexo Municipal de Piscinas de Folgosa, localizado no Concelho da Maia, tendo como principais bases os Decretos-Lei 78, 79 e 80 de 04 de Abril 2006. Uma vez que a área útil de pavimento do presente edifício é superior a 1000 m2, encontra-se englobado no conceito de Grande Edifício de Serviços (GES). A escolha do Complexo Municipal de Piscinas de Folgosa para a realização do presente estudo prendeu-se com o facto de ser um objectivo da Câmara Municipal, mais concretamente do Departamento de Conservação e Manutenção de Estruturas Municipais, dar inicio aos procedimentos necessários para a certificação energética dos diversos edifícios Municipais, aliado ao facto das piscinas serem um tipo de edifício desportivo de elevada complexidade em termos de gestão, um grande consumidor de energia e possuidor de uma elevada diversidade de equipamentos. O objectivo principal será o de caracterizar energeticamente o edifício e optimizar os consumos do mesmo, de forma a reduzir, não só os consumos energéticos e respectiva factura, mas também nas emissões dos gases de efeito de estufa (CO2), pelo que a ordem de trabalhos inclui a realização de: - Avaliação Energética de acordo com o n.º1 do artigo 2º e artigo 34º do D. L. 79/2006; - Verificação dos Requisitos de Condução e manutenção das instalações de Aquecimento, Ventilação e Ar Condicionado (AVAC); - Caracterização Energética do Edifício – Índice de Eficiência Energética. A metodologia seguida baseou-se na utilizada para a realização de uma auditoria energética, sendo que foram contempladas as seguintes etapas: estudo pormenorizado da legislação referente à certificação de edifícios; realização de um levantamento de consumos energéticos reais da instalação (com base nas facturas energéticas); das suas características funcionais e levantamento dos vários equipamentos consumidores de energia. O Complexo Municipal de Piscinas de Folgosa é uma instalação cuja média de consumo de energia eléctrica nos últimos três anos foi de 445969 kWh/ano e de 87300 m3 de gás natural, representando um consumo global de energia primária de 174,85 tep/ano. De acordo com o Sistema de Certificação Energética o Índice de Eficiência Energética determinado é de 54,50 kgep/m2 .ano. Uma vez que o IEE determinado é superior ao valor de IEEReferência existentes, o edifício estará obrigado ao cumprimento de um Plano de Racionalização Energética (PRE). É apresentado um conjunto de medidas que visam uma redução do consumo de energia do edifício e consequentemente uma melhoria no Índice de Eficiência Energética.

Utilização de co-solventes na produção de biodiesel a partir de óleo residual e etanol por catálise enzimática

A constante e sistemática subida de preço dos combustíveis fósseis e as contínuas preocupações com o meio ambiente determinaram a procura de soluções ambientalmente sustentáveis. O biodiesel surge, então, como uma alternativa para essa problemática, bem como uma solução para resíduos líquidos e gordurosos produzidos pelo ser humano. A produção de biodiesel tem sido alvo de extensa atenção nos últimos anos, pois trata-se de um combustível biodegradável e não poluente. A produção de biodiesel pelo processo de transesterificação usando álcoois de cadeia curta e catalisadores químicos, nomeadamente alcalinos, tem sido aceite industrialmente devido à sua elevada conversão. Recentemente, a transesterificação enzimática tem ganho adeptos. No entanto, o custo da enzima permanece uma barreira para a sua aplicação em grande escala. O presente trabalho visa a produção de biodiesel por transesterificação enzimática a partir de óleo residual de origem vegetal. O álcool usado foi o etanol, em substituição do metanol usado convencionalmente na catálise homogénea, pois a atividade da enzima é inibida pela presença deste último. As maiores dificuldades apresentadas na etanólise residem na separação das fases (Glicerol e Biodiesel) após a reação bem como na menor velocidade de reação. Para ajudar a colmatar esta desvantagem foi estudada a influência de dois cosolventes: o hexano e o hexanol, na proporção de 20% (v/v). Após a escolha do co-solvente que permite obter melhor rendimento (o hexano), foi elaborado um planeamento fatorial no qual se estudou a influência de três variáveis na produção de biodiesel por catálise enzimática com etanol e co-solventes: a razão molar óleo/álcool (1:8, 1:6 e 1:4), a quantidade de co-solvente adicionado (30, 20 e 10%, v/v) e o tempo de reação (48, 36 e 24h). A avaliação do processo foi inicialmente seguida pelo rendimento da reação, a fim de identificar as melhores condições, sendo substituída posteriormente pela quantificação do teor de ésteres por cromatografia em fase gasosa. O biodiesel com teor de ésteres mais elevado foi produzido nas condições correspondentes a uma razão molar óleo:álcool de 1:4, com 5g de Lipozyme TL IM como catalisador, 10% co-solvente (hexano, v/v), à temperatura de 35 ºC durante 24h. O rendimento do biodiesel produzido sob estas condições foi de 73,3%, traduzido em 64,7% de teor de ésteres etílicos. Contudo o rendimento mais elevado que se obteve foi de 99,7%, para uma razão óleo/álcool de 1:8, 30% de co-solvente (hexano, v/v), reação durante 48h a 35 ºC, obtendo-se apenas 46,1% de ésteres. Por fim, a qualidade do biodiesel foi ainda avaliada, de acordo com as especificações da norma EN 14214, através das determinações de densidade, viscosidade, ponto de inflamação, teor de água, corrosão ao cobre, índice de acidez, índice de iodo, teor de sódio (Na+) e potássio (K+), CFPP e poder calorífico. Na Europa, os ésteres etílicos não têm, neste momento, norma que os regule quanto à classificação da qualidade de biodiesel. Contudo, o biodiesel produzido foi analisado de acordo com a norma europeia EN14214, norma esta que regula a qualidade dos ésteres metílicos, sendo possível concluir que nenhum dos parâmetros avaliados se encontra em conformidade com a mesma.

Wine and grape polyphenols — a chemical perspective

Phenolic compounds constitute a diverse group of secondary metabolites which are present in both grapes and wine. The phenolic content and composition of grape processed products (wine) are greatly influenced by the technological practice to which grapes are exposed. During the handling and maturation of the grapes several chemical changes may occur with the appearance of new compounds and/or disappearance of others, and consequent modification of the characteristic ratios of the total phenolic content as well as of their qualitative and quantitative profile. The non-volatile phenolic qualitative composition of grapes and wines, the biosynthetic relationships between these compounds, and the most relevant chemical changes occurring during processing and storage will be highlighted in this review.

β-Lactams: chemical structure, mode of action and mechanisms of resistance

This synopsis summarizes the key chemical and bacteriological characteristics of β-lactams, penicillins, cephalosporins, carbanpenems, monobactams and others. Particular notice is given to first-generation to fifth-generation cephalosporins. This reviewalso summarizes the main resistancemechanism to antibiotics, focusing particular attention to those conferring resistance to broad-spectrum cephalosporins by means of production of emerging cephalosporinases (extended-spectrum β-lactamases and AmpC β-lactamases), target alteration (penicillin-binding proteins from methicillin-resistant Staphylococcus aureus) and membrane transporters that pump β-lactams out of the bacterial cell.

Classification of some penalty methods

Optimization problems arise in science, engineering, economy, etc. and we need to find the best solutions for each reality. The methods used to solve these problems depend on several factors, including the amount and type of accessible information, the available algorithms for solving them, and, obviously, the intrinsic characteristics of the problem. There are many kinds of optimization problems and, consequently, many kinds of methods to solve them. When the involved functions are nonlinear and their derivatives are not known or are very difficult to calculate, these methods are more rare. These kinds of functions are frequently called black box functions. To solve such problems without constraints (unconstrained optimization), we can use direct search methods. These methods do not require any derivatives or approximations of them. But when the problem has constraints (nonlinear programming problems) and, additionally, the constraint functions are black box functions, it is much more difficult to find the most appropriate method. Penalty methods can then be used. They transform the original problem into a sequence of other problems, derived from the initial, all without constraints. Then this sequence of problems (without constraints) can be solved using the methods available for unconstrained optimization. In this chapter, we present a classification of some of the existing penalty methods and describe some of their assumptions and limitations. These methods allow the solving of optimization problems with continuous, discrete, and mixing constraints, without requiring continuity, differentiability, or convexity. Thus, penalty methods can be used as the first step in the resolution of constrained problems, by means of methods that typically are used by unconstrained problems. We also discuss a new class of penalty methods for nonlinear optimization, which adjust the penalty parameter dynamically.

Microstructure, mechanical properties and chemical degradation of brazed AISI 316 stainless steel/alumina systems

The main aims of the present study are simultaneously to relate the brazing parameters with: (i) the correspondent interfacial microstructure, (ii) the resultant mechanical properties and (iii) the electrochemical degradation behaviour of AISI 316 stainless steel/alumina brazed joints. Filler metals on such as Ag–26.5Cu–3Ti and Ag–34.5Cu–1.5Ti were used to produce the joints. Three different brazing temperatures (850, 900 and 950 °C), keeping a constant holding time of 20 min, were tested. The objective was to understand the influence of the brazing temperature on the final microstructure and properties of the joints. The mechanical properties of the metal/ceramic (M/C) joints were assessed from bond strength tests carried out using a shear solicitation loading scheme. The fracture surfaces were studied both morphologically and structurally using scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and X-ray diffraction analysis (XRD). The degradation behaviour of the M/C joints was assessed by means of electrochemical techniques. It was found that using a Ag–26.5Cu–3Ti brazing alloy and a brazing temperature of 850 °C, produces the best results in terms of bond strength, 234 ± 18 MPa. The mechanical properties obtained could be explained on the basis of the different compounds identified on the fracture surfaces by XRD. On the other hand, the use of the Ag–34.5Cu–1.5Ti brazing alloy and a brazing temperature of 850 °C produces the best results in terms of corrosion rates (lower corrosion current density), 0.76 ± 0.21 μA cm−2. Nevertheless, the joints produced at 850 °C using a Ag–26.5Cu–3Ti brazing alloy present the best compromise between mechanical properties and degradation behaviour, 234 ± 18 MPa and 1.26 ± 0.58 μA cm−2, respectively. The role of Ti diffusion is fundamental in terms of the final value achieved for the M/C bond strength. On the contrary, the Ag and Cu distribution along the brazed interface seem to play the most relevant role in the metal/ceramic joints electrochemical performance.

A sensor classification strategy for robotic manipulators

In practice the robotic manipulators present some degree of unwanted vibrations. The advent of lightweight arm manipulators, mainly in the aerospace industry, where weight is an important issue, leads to the problem of intense vibrations. On the other hand, robots interacting with the environment often generate impacts that propagate through the mechanical structure and produce also vibrations. In order to analyze these phenomena a robot signal acquisition system was developed. The manipulator motion produces vibrations, either from the structural modes or from endeffector impacts. The instrumentation system acquires signals from several sensors that capture the joint positions, mass accelerations, forces and moments, and electrical currents in the motors. Afterwards, an analysis package, running off-line, reads the data recorded by the acquisition system and extracts the signal characteristics. Due to the multiplicity of sensors, the data obtained can be redundant because the same type of information may be seen by two or more sensors. Because of the price of the sensors, this aspect can be considered in order to reduce the cost of the system. On the other hand, the placement of the sensors is an important issue in order to obtain the suitable signals of the vibration phenomenon. Moreover, the study of these issues can help in the design optimization of the acquisition system. In this line of thought a sensor classification scheme is presented. Several authors have addressed the subject of the sensor classification scheme. White (White, 1987) presents a flexible and comprehensive categorizing scheme that is useful for describing and comparing sensors. The author organizes the sensors according to several aspects: measurands, technological aspects, detection means, conversion phenomena, sensor materials and fields of application. Michahelles and Schiele (Michahelles & Schiele, 2003) systematize the use of sensor technology. They identified several dimensions of sensing that represent the sensing goals for physical interaction. A conceptual framework is introduced that allows categorizing existing sensors and evaluates their utility in various applications. This framework not only guides application designers for choosing meaningful sensor subsets, but also can inspire new systems and leads to the evaluation of existing applications. Today’s technology offers a wide variety of sensors. In order to use all the data from the diversity of sensors a framework of integration is needed. Sensor fusion, fuzzy logic, and neural networks are often mentioned when dealing with problem of combing information from several sensors to get a more general picture of a given situation. The study of data fusion has been receiving considerable attention (Esteban et al., 2005; Luo & Kay, 1990). A survey of the state of the art in sensor fusion for robotics can be found in (Hackett & Shah, 1990). Henderson and Shilcrat (Henderson & Shilcrat, 1984) introduced the concept of logic sensor that defines an abstract specification of the sensors to integrate in a multisensor system. The recent developments of micro electro mechanical sensors (MEMS) with unwired communication capabilities allow a sensor network with interesting capacity. This technology was applied in several applications (Arampatzis & Manesis, 2005), including robotics. Cheekiralla and Engels (Cheekiralla & Engels, 2005) propose a classification of the unwired sensor networks according to its functionalities and properties. This paper presents a development of a sensor classification scheme based on the frequency spectrum of the signals and on a statistical metrics. Bearing these ideas in mind, this paper is organized as follows. Section 2 describes briefly the robotic system enhanced with the instrumentation setup. Section 3 presents the experimental results. Finally, section 4 draws the main conclusions and points out future work.

A multidimensional scaling classification of robotic sensors

This chapter analyzes the signals captured during impacts and vibrations of a mechanical manipulator. Eighteen signals are captured and several metrics are calculated between them, such as the correlation, the mutual information and the entropy. A sensor classification scheme based on the multidimensional scaling technique is presented.