Write-erase and read paper memory transistor

Applied Physics Letters, Vol.93, issue 20

Mathematical modeling and simulation of heat flow through pultrusion die assembly system for thermoset composites

Pultrusion is an industrial process used to produce glass fibers reinforced polymers profiles. These materials are worldwide used when performing characteristics, such as great electrical and magnetic insulation, high strength to weight ratio, corrosion and weather resistance, long service life and minimal maintenance are required. In this study, we present the results of the modelling and simulation of heat flow through a pultrusion die by means of Finite Element Analysis (FEA). The numerical simulation was calibrated based on temperature profiles computed from thermographic measurements carried out during pultrusion manufacturing process. Obtained results have shown a maximum deviation of 7%, which is considered to be acceptable for this type of analysis, and is below to the 10% value, previously specified as maximum deviation. © 2011, Advanced Engineering Solutions.

Influência da variabilidade dos materiais compósitos na resposta dinâmica de estruturas laminadas

Trabalho Final de Mestrado para a obtenção do grau de Mestre em Engenharia Mecânica

Education for health: alcohol and young aged school teenagers

Introduction: Alcohol consumption starts at an early age in Portuguese people. Health problems and risk behavior associated with excessive consumption can be prevented or highly reduced through effective school programs. Health professionals, such as biomedical scientists, (BSc), are important in promoting healthy lifestyles through the transmission of knowledge. Objective: Explore the role of the BSc in promoting health via intervention and clarification actions, (ICA), with 9th grade students from Agrupamento de Escolas da Portela e Moscavide (AEPM) and Visconde Juromenha (AEVJ); Verify the relationship between participating in the ICA and the level of knowledge acquired from it. Methods: Behaviors and beliefs concerning alcohol consumption and knowledge about the repercussions of it in the human body, mainly regarding the liver, were assessed by questionnaire. The questionnaire was completed before and after the ICA, by the control group (CG) and the study group (SG), respectively. The answers concerning knowledge were given points, later converted to a score from 0 to 100%. Data was analyzed applying descriptive statistics and the t-student test using SPSS 20.0. Results: After statistical analysis, it was found an average score of 48.8% for SG and 46.2% for CG. The difference between groups was statistically significant only in AEPM where ICA included a practical methodology (microscopic and macroscopic observation of pork livers), contrary to AEVJ. Conclusions: BSc intervention through ICA’s improves teenagers’ knowledge. Theoretical knowledge associated with practical approaches improves the retention of information and the development of a conscious behavior about the consumption of alcohol.

Optimization of the Pultrusion process

Manufacturing processes need permanently to innovate and optimize because any can be susceptible to continuous improvement. Innovation and commitment to the development of these new solutions resulting from existing expertise and the continuing need to increase productivity, flexibility and ensuring the necessary quality of the manufactured products. To increase flexibility, it is necessary to significantly reduce set-up times and lead time in order to ensure the delivery of products ever faster. This objective can be achieved through a normalization of the pultrusion line elements. Implicitly, there is an increase of productivity by this way. This work is intended to optimize the pultrusion process of structural profiles. We consider all elements of the system from the storehouse of the fibers (rack) to the pultrusion die. Particular attention was devoted to (a) the guidance system of the fibers and webs, (b) the resin container where the fibers are impregnated, (c) standard plates positioning of the fibers towards the entrance to the spinneret and also (d) reviewed the whole process of assembling and fixing the die as well as its the heating system. With the implementation of these new systems was achieved a significant saving of time set-up and were clearly reduced the unit costs of production. Quality assurance was also increased.

Chronic myocardial damage in experimental T. cruzi infection of a new world primate, Cebus sp. monkey

Eighteen Cebus apella monkeys, (juvenile and adult of both sexes) were inoculated five years ago, with three Trypanosoma cruzi strains (CA1, n = 10; Colombian, n=4 and Tulahuen, n=4), either by conjunctival or intraperitoneal route, once or repeatedly. Parasitological, hematological, serological, enzymatic, radiographic, electro and echocardiographic findings have been peviously published15 and they are similar to those observed in human pathology. The most frequent electrocardiographic alteration was right branch bundle block. Six animals, chosen at random, were sacrificed. Those sacrificed 20 to 25 months post-first inoculation showed focal accumuli of leukocytes with myocytolysis. Foci of diffuse interstitial fibrosis with mild infiltrate of leukocytes among fibers were observed in the animals sacrificed 36 to 47 months post-inoculation. No parasites were seen. The lesions were more prominent in the ventricular walls and the septum. The fact that the infiltrates were predominant in the animals sacrificed at a shorter time after first inoculation and that fibrosis was more severe in those sacrificed at a longer time suggests that there is a progression of the infiltrative lesions to fibrosis, with a leukocytic activity indicative of a chronic phase. These lesions are similar to those described in human chronic Chagas' disease. This would demonstrate that this model is useful in evaluating a progress in the knowledge of the pathogenesis which is still a controversial issue, immunology, immunogenesis and chemotherapeutic agents of the chronic and indeterminate phases of this disease.

Design of New Materials for Passive Vibration Control

The objective of this contribution is to extend the models of cellular/composite material design to nonlinear material behaviour and apply them for design of materials for passive vibration control. As a first step a computational tool allowing determination of optimised one-dimensional isolator behaviour was developed. This model can serve as a representation for idealised macroscopic behaviour. Optimal isolator behaviour to a given set of loads is obtained by generic probabilistic metaalgorithm, simulated annealing. Cost functional involves minimization of maximum response amplitude in a set of predefined time intervals and maximization of total energy absorbed in the first loop. Dependence of the global optimum on several combinations of leading parameters of the simulated annealing procedure, like neighbourhood definition and annealing schedule, is also studied and analyzed. Obtained results facilitate the design of elastomeric cellular materials with improved behaviour in terms of dynamic stiffness for passive vibration control.

Numerical Method to Predict Void Formation during The Liquid Composite Molding Process

Void formation during the injection phase of the liquid composite molding process can be explained as a consequence of the non-uniformity of the flow front progression. This is due to the dual porosity within the fiber perform (spacing between the fiber tows is much larger than between the fibers within in a tow) and therefore the best explanation can be provided by a mesolevel analysis, where the characteristic dimension is given by the fiber tow diameter of the order of millimeters. In mesolevel analysis, liquid impregnation along two different scales; inside fiber tows and within the open spaces between the fiber tows must be considered and the coupling between the flow regimes must be addressed. In such cases, it is extremely important to account correctly for the surface tension effects, which can be modeled as capillary pressure applied at the flow front. Numerical implementation of such boundary conditions leads to illposing of the problem, in terms of the weak classical as well as stabilized formulation. As a consequence, there is an error in mass conservation accumulated especially along the free flow front. A numerical procedure was formulated and is implemented in an existing Free Boundary Program to reduce this error significantly.

Pathology of periportal fibrosis involution in human schistosomiasis

Optical and electron microscopical evidences of focal matrix degradation were frequently seen in liver sections of periportal fibrosis caused by schistosomiasis mansoni in man. The material came from 14 wedge hepatic biopsies taken from patients with chronic advanced hepatosplenic disease and undergoing operations for the relief of portal hypertension. Besides the presence of focal areas of rarefaction, fragmentation and dispersion of collagen fibers, the enlarged portal spaces also showed hyperplasia of elastic tissue and disarray of smooth muscle fibers following destruction of portal vein branches. Eggs were scanty in the tissue sections, and matrix degradation probably represented involuting changes related to the progressive diminution of parasite-related aggression, which occurs spontaneously with age or after cure by chemotherapy. The changes indicative of matrix degradation now described are probably the basic morphological counterpart of periportal fibrosis involution currently being documented by ultrasonography in hepatosplenic patients submitted to curative chemotherapy.

Rheo-NMR study of water-based cellulose liquid crystal system at high shear rates

Since long ago cellulosic lyotropic liquid crystals were thought as potential materials to produce fibers competitive with spidersilk or Kevlar, yet the processing of high modulus materials from cellulose-based precursors was hampered by their complex rheological behavior. In this work, by using the Rheo-NMR technique, which combines deuterium NMR with rheology, we investigate the high shear rate regimes that may be of interest to the industrial processing of these materials. Whereas the low shear rate regimes were already investigated by this technique in different works [1-4], the high shear rates range is still lacking a detailed study. This work focuses on the orientational order in the system both under shear and subsequent relaxation process arising after shear cessation through the analysis of deuterium spectra from the deuterated solvent water. At the analyzed shear rates the cholesteric order is suppressed and a flow-aligned nematic is observed which for the higher shear rates develops after certain time periodic perturbations that transiently annihilate the order in the system. During relaxation the flow aligned nematic starts losing order due to the onset of the cholesteric helices leading to a period of very low order where cholesteric helices with different orientations are forming from the aligned nematic, followed in the final stage by an increase in order at long relaxation times corresponding to the development of aligned cholesteric domains. This study sheds light on the complex rheological behavior of chiral nematic cellulose-based systems and opens ways to improve its processing. (C) 2015 Elsevier Ltd. All rights reserved.

TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego

Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Vias de Comunicação e Transportes

Unmixing hyperspectral data: independent and dependent component analysis

The development of high spatial resolution airborne and spaceborne sensors has improved the capability of ground-based data collection in the fields of agriculture, geography, geology, mineral identification, detection [2, 3], and classification [4–8]. The signal read by the sensor from a given spatial element of resolution and at a given spectral band is a mixing of components originated by the constituent substances, termed endmembers, located at that element of resolution. This chapter addresses hyperspectral unmixing, which is the decomposition of the pixel spectra into a collection of constituent spectra, or spectral signatures, and their corresponding fractional abundances indicating the proportion of each endmember present in the pixel [9, 10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. The linear mixing model holds when the mixing scale is macroscopic [13]. The nonlinear model holds when the mixing scale is microscopic (i.e., intimate mixtures) [14, 15]. The linear model assumes negligible interaction among distinct endmembers [16, 17]. The nonlinear model assumes that incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [18]. Under the linear mixing model and assuming that the number of endmembers and their spectral signatures are known, hyperspectral unmixing is a linear problem, which can be addressed, for example, under the maximum likelihood setup [19], the constrained least-squares approach [20], the spectral signature matching [21], the spectral angle mapper [22], and the subspace projection methods [20, 23, 24]. Orthogonal subspace projection [23] reduces the data dimensionality, suppresses undesired spectral signatures, and detects the presence of a spectral signature of interest. The basic concept is to project each pixel onto a subspace that is orthogonal to the undesired signatures. As shown in Settle [19], the orthogonal subspace projection technique is equivalent to the maximum likelihood estimator. This projection technique was extended by three unconstrained least-squares approaches [24] (signature space orthogonal projection, oblique subspace projection, target signature space orthogonal projection). Other works using maximum a posteriori probability (MAP) framework [25] and projection pursuit [26, 27] have also been applied to hyperspectral data. In most cases the number of endmembers and their signatures are not known. Independent component analysis (ICA) is an unsupervised source separation process that has been applied with success to blind source separation, to feature extraction, and to unsupervised recognition [28, 29]. ICA consists in finding a linear decomposition of observed data yielding statistically independent components. Given that hyperspectral data are, in given circumstances, linear mixtures, ICA comes to mind as a possible tool to unmix this class of data. In fact, the application of ICA to hyperspectral data has been proposed in reference 30, where endmember signatures are treated as sources and the mixing matrix is composed by the abundance fractions, and in references 9, 25, and 31–38, where sources are the abundance fractions of each endmember. In the first approach, we face two problems: (1) The number of samples are limited to the number of channels and (2) the process of pixel selection, playing the role of mixed sources, is not straightforward. In the second approach, ICA is based on the assumption of mutually independent sources, which is not the case of hyperspectral data, since the sum of the abundance fractions is constant, implying dependence among abundances. This dependence compromises ICA applicability to hyperspectral images. In addition, hyperspectral data are immersed in noise, which degrades the ICA performance. IFA [39] was introduced as a method for recovering independent hidden sources from their observed noisy mixtures. IFA implements two steps. First, source densities and noise covariance are estimated from the observed data by maximum likelihood. Second, sources are reconstructed by an optimal nonlinear estimator. Although IFA is a well-suited technique to unmix independent sources under noisy observations, the dependence among abundance fractions in hyperspectral imagery compromises, as in the ICA case, the IFA performance. Considering the linear mixing model, hyperspectral observations are in a simplex whose vertices correspond to the endmembers. Several approaches [40–43] have exploited this geometric feature of hyperspectral mixtures [42]. Minimum volume transform (MVT) algorithm [43] determines the simplex of minimum volume containing the data. The MVT-type approaches are complex from the computational point of view. Usually, these algorithms first find the convex hull defined by the observed data and then fit a minimum volume simplex to it. Aiming at a lower computational complexity, some algorithms such as the vertex component analysis (VCA) [44], the pixel purity index (PPI) [42], and the N-FINDR [45] still find the minimum volume simplex containing the data cloud, but they assume the presence in the data of at least one pure pixel of each endmember. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. Hyperspectral sensors collects spatial images over many narrow contiguous bands, yielding large amounts of data. For this reason, very often, the processing of hyperspectral data, included unmixing, is preceded by a dimensionality reduction step to reduce computational complexity and to improve the signal-to-noise ratio (SNR). Principal component analysis (PCA) [46], maximum noise fraction (MNF) [47], and singular value decomposition (SVD) [48] are three well-known projection techniques widely used in remote sensing in general and in unmixing in particular. The newly introduced method [49] exploits the structure of hyperspectral mixtures, namely the fact that spectral vectors are nonnegative. The computational complexity associated with these techniques is an obstacle to real-time implementations. To overcome this problem, band selection [50] and non-statistical [51] algorithms have been introduced. This chapter addresses hyperspectral data source dependence and its impact on ICA and IFA performances. The study consider simulated and real data and is based on mutual information minimization. Hyperspectral observations are described by a generative model. This model takes into account the degradation mechanisms normally found in hyperspectral applications—namely, signature variability [52–54], abundance constraints, topography modulation, and system noise. The computation of mutual information is based on fitting mixtures of Gaussians (MOG) to data. The MOG parameters (number of components, means, covariances, and weights) are inferred using the minimum description length (MDL) based algorithm [55]. We study the behavior of the mutual information as a function of the unmixing matrix. The conclusion is that the unmixing matrix minimizing the mutual information might be very far from the true one. Nevertheless, some abundance fractions might be well separated, mainly in the presence of strong signature variability, a large number of endmembers, and high SNR. We end this chapter by sketching a new methodology to blindly unmix hyperspectral data, where abundance fractions are modeled as a mixture of Dirichlet sources. This model enforces positivity and constant sum sources (full additivity) constraints. The mixing matrix is inferred by an expectation-maximization (EM)-type algorithm. This approach is in the vein of references 39 and 56, replacing independent sources represented by MOG with mixture of Dirichlet sources. Compared with the geometric-based approaches, the advantage of this model is that there is no need to have pure pixels in the observations. The chapter is organized as follows. Section 6.2 presents a spectral radiance model and formulates the spectral unmixing as a linear problem accounting for abundance constraints, signature variability, topography modulation, and system noise. Section 6.3 presents a brief resume of ICA and IFA algorithms. Section 6.4 illustrates the performance of IFA and of some well-known ICA algorithms with experimental data. Section 6.5 studies the ICA and IFA limitations in unmixing hyperspectral data. Section 6.6 presents results of ICA based on real data. Section 6.7 describes the new blind unmixing scheme and some illustrative examples. Section 6.8 concludes with some remarks.

Vertex component analysis: a geometric-based approach to unmix hyperspectral data

Hyperspectral remote sensing exploits the electromagnetic scattering patterns of the different materials at specific wavelengths [2, 3]. Hyperspectral sensors have been developed to sample the scattered portion of the electromagnetic spectrum extending from the visible region through the near-infrared and mid-infrared, in hundreds of narrow contiguous bands [4, 5]. The number and variety of potential civilian and military applications of hyperspectral remote sensing is enormous [6, 7]. Very often, the resolution cell corresponding to a single pixel in an image contains several substances (endmembers) [4]. In this situation, the scattered energy is a mixing of the endmember spectra. A challenging task underlying many hyperspectral imagery applications is then decomposing a mixed pixel into a collection of reflectance spectra, called endmember signatures, and the corresponding abundance fractions [8–10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. Linear mixing model holds approximately when the mixing scale is macroscopic [13] and there is negligible interaction among distinct endmembers [3, 14]. If, however, the mixing scale is microscopic (or intimate mixtures) [15, 16] and the incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [17], the linear model is no longer accurate. Linear spectral unmixing has been intensively researched in the last years [9, 10, 12, 18–21]. It considers that a mixed pixel is a linear combination of endmember signatures weighted by the correspondent abundance fractions. Under this model, and assuming that the number of substances and their reflectance spectra are known, hyperspectral unmixing is a linear problem for which many solutions have been proposed (e.g., maximum likelihood estimation [8], spectral signature matching [22], spectral angle mapper [23], subspace projection methods [24,25], and constrained least squares [26]). In most cases, the number of substances and their reflectances are not known and, then, hyperspectral unmixing falls into the class of blind source separation problems [27]. Independent component analysis (ICA) has recently been proposed as a tool to blindly unmix hyperspectral data [28–31]. ICA is based on the assumption of mutually independent sources (abundance fractions), which is not the case of hyperspectral data, since the sum of abundance fractions is constant, implying statistical dependence among them. This dependence compromises ICA applicability to hyperspectral images as shown in Refs. [21, 32]. In fact, ICA finds the endmember signatures by multiplying the spectral vectors with an unmixing matrix, which minimizes the mutual information among sources. If sources are independent, ICA provides the correct unmixing, since the minimum of the mutual information is obtained only when sources are independent. This is no longer true for dependent abundance fractions. Nevertheless, some endmembers may be approximately unmixed. These aspects are addressed in Ref. [33]. Under the linear mixing model, the observations from a scene are in a simplex whose vertices correspond to the endmembers. Several approaches [34–36] have exploited this geometric feature of hyperspectral mixtures [35]. Minimum volume transform (MVT) algorithm [36] determines the simplex of minimum volume containing the data. The method presented in Ref. [37] is also of MVT type but, by introducing the notion of bundles, it takes into account the endmember variability usually present in hyperspectral mixtures. The MVT type approaches are complex from the computational point of view. Usually, these algorithms find in the first place the convex hull defined by the observed data and then fit a minimum volume simplex to it. For example, the gift wrapping algorithm [38] computes the convex hull of n data points in a d-dimensional space with a computational complexity of O(nbd=2cþ1), where bxc is the highest integer lower or equal than x and n is the number of samples. The complexity of the method presented in Ref. [37] is even higher, since the temperature of the simulated annealing algorithm used shall follow a log( ) law [39] to assure convergence (in probability) to the desired solution. Aiming at a lower computational complexity, some algorithms such as the pixel purity index (PPI) [35] and the N-FINDR [40] still find the minimum volume simplex containing the data cloud, but they assume the presence of at least one pure pixel of each endmember in the data. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. PPI algorithm uses the minimum noise fraction (MNF) [41] as a preprocessing step to reduce dimensionality and to improve the signal-to-noise ratio (SNR). The algorithm then projects every spectral vector onto skewers (large number of random vectors) [35, 42,43]. The points corresponding to extremes, for each skewer direction, are stored. A cumulative account records the number of times each pixel (i.e., a given spectral vector) is found to be an extreme. The pixels with the highest scores are the purest ones. N-FINDR algorithm [40] is based on the fact that in p spectral dimensions, the p-volume defined by a simplex formed by the purest pixels is larger than any other volume defined by any other combination of pixels. This algorithm finds the set of pixels defining the largest volume by inflating a simplex inside the data. ORA SIS [44, 45] is a hyperspectral framework developed by the U.S. Naval Research Laboratory consisting of several algorithms organized in six modules: exemplar selector, adaptative learner, demixer, knowledge base or spectral library, and spatial postrocessor. The first step consists in flat-fielding the spectra. Next, the exemplar selection module is used to select spectral vectors that best represent the smaller convex cone containing the data. The other pixels are rejected when the spectral angle distance (SAD) is less than a given thresh old. The procedure finds the basis for a subspace of a lower dimension using a modified Gram–Schmidt orthogonalizati on. The selected vectors are then projected onto this subspace and a simplex is found by an MV T pro cess. ORA SIS is oriented to real-time target detection from uncrewed air vehicles using hyperspectral data [46]. In this chapter we develop a new algorithm to unmix linear mixtures of endmember spectra. First, the algorithm determines the number of endmembers and the signal subspace using a newly developed concept [47, 48]. Second, the algorithm extracts the most pure pixels present in the data. Unlike other methods, this algorithm is completely automatic and unsupervised. To estimate the number of endmembers and the signal subspace in hyperspectral linear mixtures, the proposed scheme begins by estimating sign al and noise correlation matrices. The latter is based on multiple regression theory. The signal subspace is then identified by selectin g the set of signal eigenvalue s that best represents the data, in the least-square sense [48,49 ], we note, however, that VCA works with projected and with unprojected data. The extraction of the end members exploits two facts: (1) the endmembers are the vertices of a simplex and (2) the affine transformation of a simplex is also a simplex. As PPI and N-FIND R algorithms, VCA also assumes the presence of pure pixels in the data. The algorithm iteratively projects data on to a direction orthogonal to the subspace spanned by the endmembers already determined. The new end member signature corresponds to the extreme of the projection. The algorithm iterates until all end members are exhausted. VCA performs much better than PPI and better than or comparable to N-FI NDR; yet it has a computational complexity between on e and two orders of magnitude lower than N-FINDR. The chapter is structure d as follows. Section 19.2 describes the fundamentals of the proposed method. Section 19.3 and Section 19.4 evaluate the proposed algorithm using simulated and real data, respectively. Section 19.5 presents some concluding remarks.

Vascularização do útero: estudo morfológico e experimental

RESUMO Os trabalhos de investigação, conducentes à elaboração do presente estudo morfofuncional, subordinado ao tema da "VASCULARIZAÇÃO ARTERIAL DO ÚTERO",fundamenta-se em conceitos da anatomia descritiva clássica, complementados por técnicas de estudo mais modernas, permitindo-nos observações originais. O principal objectivo é de definir um padrão descritivo da vascularização uterina e de estabelecer uma correlação anatomo-fisiológica e anatomo-clínica na descrição da angiomorfologia uterina, actualizando as descrições clássicas da artéria com dados de observação originais, segundo as técnicas de estudo angiomorfológicas correntemente empregues no Departamento de Anatomia da Faculdade de Ciências Médicas da Universidade Nova de Lisboa. Correlacionam-se as observações com os mais recentes dados publicados, no âmbito da imuno-histoquímica e da moderna bioquímica endocrinológica, uma vez que os conceitos modernos de fisiologia uterina e ginecológica praticamente dominam a vasta literatura científica mundial. Como objectivos particulares, ou linhas orientadoras da tese, escolhemos: - A definição de parâmetros descritivos do padrão genérico da vascularização uterina, actualizando a nomenclatura descritiva de acordo com a moderna Nomina Anatomica mundialmente debatida, desde o XIV Congresso Internacional da Federação Internacional das Associações de Anatomistas, sob a presidência do Prof. Doutor J.A. Esperança Pina (1994) e publicada em 1999-2001. - A comparação do caso humano com o do animal de experiência, por observação meticulosa do maior número de casos possíveis, realizando um estudo comparativo que nos permita extrapolar dados de experimentação animal para o caso humano; - O estabelecimento de uma correlação anatomo-fisiológica, por análise do comportamento da vascularização uterina, ao longo da vida, desde o nascimento até à menopausa, e perante as influências hormonais a que se encontra exposta. A tese constrói-se em torno de três núcleos fundamentais: 1. Um capítulo introdutório, de contextualização teórica, por enquadramento histórico dos estudos dos órgãos genitais femininos e da evolução das técnicas de diagnóstico e terapêutica do útero, focando as primeiras referências à técnica da histerotomia (Cesariana) (com a lenda persa do nascimento do herói Rostam, ou do nascimento do deus Asclepius), as primeiras representações da vascularização uterina (por LEONARDO e iii VESÁLIO), ou as primeiras descrições anatómicas do útero, da autoria de Portugueses (RODRIGO DE CASTRO, 1516 e AMATO LUSITANO, 1551). Prossegue a contextualização teórica com breve referência à recente evolução das técnicas de diagnóstico e terapêutica dos fibromiomas uterinos, mencionando de modo particular a evolução das técnicas de embolização arterial uterina, por nos parecer corresponder a um campo de aplicação imediata dos estudos da vascularização do útero. Termina este capítulo com breve referência aos trabalhos do Prof. Doutor J. MARTINS PISCO que tem actualmente, no nosso País uma das mais extensas listas de trabalhos efectuados com sucesso a nível mundial, no campo da embolização arterial de fibromiomas uterinos. 2. O segundo núcleo fundamental, intitulado "Angiomorfologia uterina" corresponde a extensa revisão bibliográfica dos estudos descritivos da vascularização uterina, desde logo ilustrando a resenha teórica com algumas imagens fotográficas de úteros humanos, seleccionadas da nossa colecção. A descrição da vascularização uterina, fundamentada em 1500 citações bibliográficas, organiza-se, de acordo com o paralelismo entre a estratificação histológica e angiológica do órgão, e a hierarquia funcional, regulada pelas cíclicas variações hormonais. Descreve-se a camada serosa e correspondente vascularização; a camada muscular e vascularização do miométrio; e, por fim, a camada mucosa e os vasos endometriais. Verifica-se, perante os dados colhidos da literatura mundial, o interesse do aprofundamento dos estudos morfológicos da microvascularização endometrial e da adaptação das descrições aos resultados dos modernos estudos funcionais obtidos por técnicas da imuno-histoquímica. 3. Fundamentados nos dados colhidos das revisões bibliográficas, elaborámos um projecto de investigação original, visando o estabelecimento da relação morfo-funcional resultante do aprofundamento dos estudos descritivos da angiomorfologia e da microvascularização do útero. O capítulo de trabalho experimental organiza-se em três principais passos: – No capítulo de Materiais e métodos, procede-se à escolha, por um lado do animal de experiência mais adequado para os estudos da vascularização uterina (por estudo comparativo ao longo da escala animal) e, por outro lado, à escolha de três das técnicas disponíveis no Laboratório de Anatomia Experimental e aplicáveis à investigação angiomorfológica do útero; iv - No capítulo de Resultados, procedemos à exposição das nossas observações de 25 úteros humanos e de 154 úteros de animais de experiência, segundo as três técnicas seleccionadas (dissecção, Injecção-corrosão-fluorescência, Injecção-diafanização e injecção-corrosão paraobservação de moldes vasculares em microscopia electrónica de varrimento), organizando aselecção da vasta iconografia coleccionada em três novos subcapítulos: o útero humano, oútero do animal de experiência e um estudo comparativo, essencial para validar osresultados do trabalho experimental. - O capítulo de trabalho experimental, inteiramente efectuado por estudos na artéria uterina do rato Wistar, abrange primeiramente a tentativa de definição macroscópica de territórios de vascularização, seguido das observações microscópicas conducentes à definição dos parâmetros angiomorfológicos característicos de cada uma das etapas da grande variabilidade a que se sujeita a vascularização uterina, ao longo da vida, incluindo a infância, a gravidez, a paridade e o envelhecimento, e consoante as fases do ciclo hormonal ovárico. Aperfeiçoámos essa tarefa com a elaboração de três experiências distintas, para análise dos efeitos microvasculares uterinos da administração exógena de preparados comerciais hormonais, por observação em microscopia electrónica de varrimento. De acordo com as leituras da literatura clássica sobre a metodologia do trabalho científico, completamos os trabalhos por um capítulo de síntese e critica dos resultados, sequencialmente organizado consoante cada um dos passos experimentais atrás referidos. SUMMARY The aim of the present thesis is the description of the uterine arterial network, complementing the classical concepts of descriptive Anatomy with modern techniques of anatomical research, thus achieving original final results and observations. One of the main objectives of the research is to establish physiological and clinical correlations in the description of the uterine angiomorphology, with the techniques currently available for angiomorphological research in the Department of Anatomy of Faculty of Medical Sciences of the New University of Lisbon. As guidelines to our research, we established the following specific objectives: - defining the descriptive parameters of the standard pattern of the uterine vasculature, according to the modern Nomina Anatomica, as underlined in the latest Federative Congresses of the International Federation of the Associations of Anatomists, one of which took place in Lisbon, in 1994, under the presidency of Professor J.A. Esperança Pina, the supervisor of the present works; - comparing the human uterus with the uterus of the experimental animal, to extrapolate the experimental observations in animals to the particular case of the human uterus; - establishing a correlation between the physiology and the anatomical observations of the uterine vasculature throughout life, from childhood to menopause and in relation to the hormonal influences to which the uterus is exposed. The thesis is built around three main chapters: 1) The introduction chapter defines the historical framework of the studies of the female genital anatomy and the historical evolution of the clinical management of common uterine diseases, focusing on the first historical references to the Caesarean section (such as the Persian legend of the birth of the hero ROSTAM, or that of the birth of ASCLEPIUS, the Greek god of Medicine); the first depictions of the uterine vasculature (by LEONARDO and VESALIUS) or the first anatomical descriptions of the uterus, by Portuguese authors (RODRIGO DE CASTRO, 1517, or AMATUS LUSITANUS, 1551). The theoretical context proceeds, with reference to the recent evolution of the clinical and surgical management of uterine fibroids, and a particular mention to the modern techniques of Uterine Fibroid Embolisation, which corresponds to one of the fields of interest of the anatomic studies of uterine arterial vascularization. 2) The second chapter, devoted to the anatomical description of the Uterine Angiomorphology, is based on an extensive review of the available Medical literature,illustrated by a selection of our own research observations of the human uterine vasculature. The description is organized in view of the parallelism between histological and angiological stratification and the functional hierarchy, under the control of the cyclic hormonal variations. Each layer of the uterine wall is depicted with photographs of the human uterus and descriptions of its specific vascular network: the serosa, the muscular Myometrium, and the mucosa, or endometrium. This classical description, based on extensive quotations of the international scientific literature, enhances our interest for the research of a more detailed knowledge of the endometrial microvascular network, accordingly to the modern physiologic results obtained through immunohistochemical studies. 3) The results of our experimental research, aiming to establish the intimate relationship between the anatomical and functional studies of uterine vasculature, are organized in three main steps: - The chapter of Materials and Methods debates the choice of the experimental animal, based on a short review of the comparative anatomy of the uterus, and uterine physiology, throughout the animal scale. The selection of three fundamental techniques of anatomic research is made from the current variety available in the Laboratory of Experimental Anatomy of the Lisbon School of Medical Sciences. - The Results of our personal research and observations of 25 human and 154 animal uteri,after dissection, and the techniques of arterial injection for the preparation of fluorescent corrosion casts, of vascular injection and clearing, and of arterial injection and preparation of corrosion casts for Scanning Electron Microscopy are rganized in terms of human or animal macroscopic anatomy and microvascular network, followed by a summary of the comparative anatomy of human and rat uteri, which is essential to validate the resultant experimental observations of the rat endometrial microvasculature. - The experimental research is entirely devoted to the uterine artery of the Wistar rat. The first step consists of the attempt to define macroscopic territories of vascularization, followed by microscopic observations for the definition of the angiomorphological pattern that is characteristic of each stage of the extreme variations to which the uterus is subject throughout life, from childhood to sexual maturity, throughout the hormonal cycle, in pregnancy, according to parity, and through ageing. We complete these observations with the experimental exposure of the Wistar rat uterus to pharmacologic preparations of hormones, currently available in clinical practice, and observations of the vascular uterine changes in Scanning Electron Microscopy. The outcome results of our anatomical observations are followed by a critical synthesis of the results.

Flucytosine + fluconazole association in the treatment of a murine experimental model of cryptococcosis

The efficacy of flucytosine (5-FC) and fluconazole (FLU) association in the treatment of a murine experimental model of cryptococcosis, was evaluated. Seven groups of 10 Balb C mice each, were intraperitoneally inoculated with 10(7) cells of Cryptococcus neoformans. Six groups were allocated to receive 5-FC (300 mg/kg) and FLU (16 mg/ kg), either combined and individually, by daily gavage beginning 5 days after the infection, for 2 and 4 weeks. One group received distilled water and was used as control. The evaluation of treatments was based on: survival time; macroscopic examination of brain, lungs, liver and spleen at autopsy; presence of capsulated yeasts in microscopic examination of wet preparations of these organs and cultures of brain homogenate. 5-FC and FLU, individually or combined, significantly prolonged the survival time of the treated animals with respect to the control group (p<0.01). Animals treated for 4 weeks survived significantly longer than those treated for 2 weeks (p<0.01). No significant differences between the animals treated with 5-FC and FLU combined or separately were observed in the survival time and morphological parameters. The association of 5-FC and FLU does not seem to be more effective than 5-FC or FLU alone, in the treatment of this experimental model of cryptococcosis.