On-line defragmentation for run-time partially reconfigurable FPGAs

Dynamically reconfigurable systems have benefited from a new class of FPGAs recently introduced into the market, which allow partial and dynamic reconfiguration at run-time, enabling multiple independent functions from different applications to share the same device, swapping resources as needed. When the sequence of tasks to be performed is not predictable, resource allocation decisions have to be made on-line, fragmenting the FPGA logic space. A rearrangement may be necessary to get enough contiguous space to efficiently implement incoming functions, to avoid spreading their components and, as a result, degrading their performance. This paper presents a novel active replication mechanism for configurable logic blocks (CLBs), able to implement on-line rearrangements, defragmenting the available FPGA resources without disturbing those functions that are currently running.

A new approach to assess defragmentation strategies in dynamically reconfigurable FPGAs

Fragmentation on dynamically reconfigurable FPGAs is a major obstacle to the efficient management of the logic space in reconfigurable systems. When resource allocation decisions have to be made at run-time a rearrangement may be necessary to release enough contiguous resources to implement incoming functions. The feasibility of run-time relocation depends on the processing time required to set up rearrangements. Moreover, the performance of the relocated functions should not be affected by this process or otherwise the whole system performance, and even its operation, may be at risk. Relocation should take into account not only specific functional issues, but also the FPGA architecture, since these two aspects are normally intertwined. A simple and fast method to assess performance degradation of a function during relocation and to speed up the defragmentation process, based on previous function labelling and on the application of the Euclidian distance concept, is proposed in this paper.

Run-time defragmentation for dynamically reconfigurable hardware

Reconfigurable computing experienced a considerable expansion in the last few years, due in part to the fast run-time partial reconfiguration features offered by recent SRAM-based Field Programmable Gate Arrays (FPGAs), which allowed the implementation in real-time of dynamic resource allocation strategies, with multiple independent functions from different applications sharing the same logic resources in the space and temporal domains. However, when the sequence of reconfigurations to be performed is not predictable, the efficient management of the logic space available becomes the greatest challenge posed to these systems. Resource allocation decisions have to be made concurrently with system operation, taking into account function priorities and optimizing the space currently available. As a consequence of the unpredictability of this allocation procedure, the logic space becomes fragmented, with many small areas of free resources failing to satisfy most requests and so remaining unused. A rearrangement of the currently running functions is therefore necessary, so as to obtain enough contiguous space to implement incoming functions, avoiding the spreading of their components and the resulting degradation of system performance. A novel active relocation procedure for Configurable Logic Blocks (CLBs) is herein presented, able to carry out online rearrangements, defragmenting the available FPGA resources without disturbing functions currently running.

Parallel GPU architecture for hyperspectral unmixing based on augmented Lagrangian method

Hyperspectral imaging has become one of the main topics in remote sensing applications, which comprise hundreds of spectral bands at different (almost contiguous) wavelength channels over the same area generating large data volumes comprising several GBs per flight. This high spectral resolution can be used for object detection and for discriminate between different objects based on their spectral characteristics. One of the main problems involved in hyperspectral analysis is the presence of mixed pixels, which arise when the spacial resolution of the sensor is not able to separate spectrally distinct materials. Spectral unmixing is one of the most important task for hyperspectral data exploitation. However, the unmixing algorithms can be computationally very expensive, and even high power consuming, which compromises the use in applications under on-board constraints. In recent years, graphics processing units (GPUs) have evolved into highly parallel and programmable systems. Specifically, several hyperspectral imaging algorithms have shown to be able to benefit from this hardware taking advantage of the extremely high floating-point processing performance, compact size, huge memory bandwidth, and relatively low cost of these units, which make them appealing for onboard data processing. In this paper, we propose a parallel implementation of an augmented Lagragian based method for unsupervised hyperspectral linear unmixing on GPUs using CUDA. The method called simplex identification via split augmented Lagrangian (SISAL) aims to identify the endmembers of a scene, i.e., is able to unmix hyperspectral data sets in which the pure pixel assumption is violated. The efficient implementation of SISAL method presented in this work exploits the GPU architecture at low level, using shared memory and coalesced accesses to memory.

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.

Repercussões crónicas nas vias aéreas da hiperóxia neonatal : modelo experimental

RESUMO: O objectivo deste trabalho foi avaliar se a exposição crónica neonatal à hiperóxia mo-derada induz alterações funcionais e estruturais persistentes nas vias aéreas. Desenvolveu-se um modelo animal, no rato, a partir do qual se retiraram implicações para a compreensão das repercussões crónicas da hiperóxia neonatal sobre as vias aéreas de displasia broncopulmonar (DBP), em duas fases distintas: imediatamente após a exposi-ção neonatal a 50%O2 (grupo 50%O2) e após três semanas de recuperação em ar ambiente (grupo 50%O2+Ar).Compararam-se os resultados da resposta do músculo liso de traqueia (MLT) à esti-mulação in vitro com metacolina e salbutamol e avaliaram-se as alterações quantitativas da área de MLT, bem como as alterações qualitativas da estrutura da traqueia. Demonstrou-se que a exposição a 50% de oxigénio não tinha repercussões imediatas sobre a resposta in vitro do MLT à estimulação colinérgica, mas que induzia um aumento do relaxamento em resposta ao salbutamol. A contractilidade do MLT em resposta à estimula-ção com metacolina no grupo 50%O2+Ar foi significativamente superior à do grupo de con-trolo da mesma idade e também superior à observada no grupo 50%O2, enquanto que a resposta ao salbutamol se voltou a aproximar dos valores de controlo após a recuperação em normóxia. Não se observaram diferenças estatisticamente significativas na área de MLT entre os grupos experimental e de controlo, o que se deve provavelmente ao número reduzido de amostras avaliadas e à variabilidade deste parâmetro no grupo de controlo; contudo, verifi-cou-se um aumento médio de 15% imediatamente após a exposição à hiperóxia que persis-tiu após o período de recuperação.As alterações qualitativas sobre a arquitectura da traqueia, avaliadas por microscopia óptica, revelaram no grupo 50%O2 aumentos da espessura da matriz extracelular e da den-sidade de mastócitos desgranulados na submucosa e adventícia vizinhas do MLT, sem outras alterações relativamente ao grupo de controlo com 15 dias. As alterações da matriz extrace-lular foram reversíveis após a recuperação em ar ambiente. A densidade de mastócitos per-maneceu superior à do grupo de controlo de 36 dias de idade, apresentando-se em maior contiguidade com o MLT relativamente ao grupo 50%O2. Em síntese, demonstrou-se que a hiperóxia neonatal crónica em níveis moderados in-duz alterações da resposta contráctil do MLT e da estrutura da traqueia que podem ter ex-pressão funcional após a exposição ter cessado. Assim, o contributo original do presente trabalho foi o desenvolvimento de um modelo animal que permite avaliar os mecanismos pelos quais a hiperóxia é capaz de induzir, isoladamente, alterações crónicas da contracti-lidade, do relaxamento do ML e da estrutura das vias aéreas que podem ser responsáveis pela HRB persistente em doentes sujeitos a oxigenioterapia neonatal.-------------ABSTRACT: The aim of this work was to evaluate whether chronic neonatal exposure to hyperoxia in-duces persistent structural and functional airway changes. An animal model was developed, using neonatal rats, in order to understand the chronic effects of neonatal hyperoxia on the airways, in bronchopulmonary dysplasia, in two distinct phases: immediately after neonatal exposure to 50%O2 (50%O2 group) and after three weeks of recovery at ambient air (50%O2+Ar group).The results from the tracheal smooth muscle (TSM) response to in vitro stimulation with metacholine and salbutamol were compared and quantitative changes in TSM area, as well as qualitative changes in tracheal structure were evaluated. It was demonstrated that while exposure to 50% oxygen had no immediate effects on in vitro TSM response to cholinergic stimulation, it induced an increase in relaxation as a result of salbutamol administration. TSM contractility as a result of methacholine administration in the 50%O2 + Ar group was significantly higher than that of the same-age control group, and also higher than the one observed in the 50%O2 group, whereas the response to salbutamol admini-stration was once again closer to the control values after recovery in normoxia. There were no statistically significant differences in the TSM area between the experi-mental and control groups, which is most likely due to the reduced number of samples evalu-ated and to the variability of this parameter in the control group. However, there was an aver-age increase of 15% immediately after exposure to hyperoxia, which persisted after the recov-ery period. Qualitative changes in tracheal architecture, evaluated by optic microscopy, revealed that the 50%O2 group suffered an increase in the thickness of the extracellular matrix and degranu-lated mast cell density in the submucosa and adventitia adjacent to the TSM, without further changes when compared with the control group at 15 days of age. The changes in extracellular matrix were reversible after recovery in ambient air. Mast cell density remained higher than that of the control group at 36 days of age, and more contiguous to TSM than the 50%O2 group. In conclusion, it has been demonstrated that moderate levels of chronic neonatal hyperoxia in-duce changes in TSM contractile response and tracheal structure, which may be functionally ex-pressed after discontinuation of exposure. Therefore, the original contribution of the present work was the development of an animal model which allows the evaluation of the mechanisms through which hyperoxia alone can induce chronic changes in contractility and relaxation of SM and also in airway structure that can be responsible for the persistent airway hyperrespon-siveness found in patients who were submited to neonatal oxygen therapy.

The role of complex chromosome translocations in leukemia

Resumo A tumorigénese é um processo de transformação celular que se desenrola tipicamente em várias etapas. Os diferentes níveis de evolução tumoral resultam da acumulação sucessiva de mutações genéticas numa célula normal que lhe conferem uma vantagem selectiva no respectivo meio tecidular. As mutações podem manifestar-se sob a forma de alterações nucleotídicas pontuais ao nível da sequência de DNA, levando a uma desregulação da função proteíca ou à formação de proteínas não-funcionais, ou através de alterações cromossómicas numéricas ou estruturais. Na leucemia, por exemplo, os genes híbridos que resultam de translocações cromossómicas desempenham um importante papel no processo tumorigénico. Estes genes são transcritos sob a forma de um RNA mensageiro de fusão, o qual é traduzido numa proteína híbrida com função oncogénica. Frequentemente, os subtipos de doença leucémica estão associados com translocações cromossómicas que envolvem 2 pontos de quebra recorrentes e específicos. É disto exemplo a leucemia mielóide crónica, em que uma translocação recíproca entre os cromossomas 9 e 22 conduz à formação de um gene de fusão BCR-ABL1. Em diferentes subtipos de doença, existe também uma pequena proporção de casos que apresenta translocações cromossómicas complexas, que envolvem um ou mais pontos de quebra adicionais em outras localizações genómicas além das que estão implicadas na formação dos genes de fusão. Por vezes, os pontos de quebra estão também associados a delecções extensas de material genético que se pensa terem uma função importante na tumorigénese. No entanto, o papel destas regiões genómicas no desenvolvimento tumoral não tem sido um motivo recorrente de estudo. Neste contexto, o objectivo desta dissertação foi o de determinar o potencial papel tumorigénico de alterações génicas adicionais ocorridas nos pontos de quebra de translocações cromossómicas complexas. Para a prossecução do objectivo proposto, foram estudados 5 rearranjos cromossómicos distintos associados com diferentes tipos de doença hematológica maligna, nomeadamente a leucemia linfoblástica aguda de células B (2 casos), leucemia mielóide aguda, neoplasma mieloproliferativo e síndrome mielodisplásico/neoplasma ieloproliferativo, não classificável. O mapeamento dos pontos de quebra foi efectuado utilizando a hibridação fluorescente in situ e diferentes metodologias de biologia molecular, tendo como base a informação inicial da análise citogenética. Em casos seleccionados, o papel dos novos genes candidatos foi avaliado in vitro utilizando modelos de linhas celulares, nomeadamente no que respeita às funções de controlo da proliferação celular e de regulação transcricional. De entre os 5 casos estudados, quatro deles evidenciaram translocações complexas envolvendo 3 cromossomas, nomeadamente t(12;21;5)(p13;q22;q13), t(12;6;15)(p13;p24~25;q22), t(9;11;19)(p22;q23;p13) e t(X;20;16)(p11;q13;q23). No caso remanescente, foi observada uma translocação dicêntrica dic(9;12)(p11;p11) acompanhada de delecções extensas em ambos os pontos de quebra. Nos casos com t(12;21;5) e t(9;11;19) as translocações estavam associadas com a presença de genes de fusão recorrentes, nomeadamente TV6(12p13)-RUNX1(21q22) e TLL(11q23)-MLLT3(9p22), indicando que se tratavam de rearranjos complexos das translocações t(12;21) e t(9;11) associadas com a leucemia linfoblástica aguda de células B e a leucemia mielóide aguda, respectivamente. O papel dos pontos de quebra adicionais foi estudado em detalhe no caso com t(9;11;19). Através da metodologia de long distance inverse-polymerase chain reaction, foram identificados os pontos de quebra na sequência de DNA dos 3 cromossomas envolvidos na translocação. Além dos pontos de quebra nos genes MLL e MLLT3, foi observado que o local de quebra no cromossoma 19 interrompeu a sequência de um novo gene, designado CCDC94,conduzindo à sua haplo-insuficiência nas células com t(9;11;19). Através de ensaios de reverse transcription-polymerase chain reaction verificámos que o gene CCDC94 é expresso ubiquitariamente em tecidos humanos normais. A análise informática da sequência prevista da proteína CCDC94 indicou uma elevada identidade de aminoácidos com a proteína cwf16, envolvida na regulação do ciclo celular da levedura Schizosaccharomyces pombe. Através da clonagem do DNA complementar de CCDC94 em vectores de expressão, e após a transfecção destes em culturas de linhas celulares in vitro, observámos que este gene codifica uma proteína de localização exclusivamente nuclear. A expressão ectópica da proteína CCDC94 diminuiu a progressão do ciclo celular e a proliferação das células em cultura. Inversamente, a supressão do transcrito do gene CCDC94 através de interferência de RNA conduziu a um aumento significativo da proliferação celular, confirmando que CCDC94 regula negativamente a proliferação e a progressão do ciclo celular. Estes resultados mostram que os pontos de quebra adicionais, presentes em translocações cromossómicas complexas em leucemia, podem resultar na haplo-insuficiência de genes controladores dos mecanismos proliferativos, cooperando desta forma com a acção das proteínas de fusão para proporcionar ao clone leucémico uma proliferação celular descontrolada. Nos restantes 3 casos estudados não foram identificados genes de fusão. Ao invés, todos aqueles apresentaram delecções de extensão variável associadas com os pontos de quebra cromossómicos. No caso com t(12;6;15), identificámos uma delecção de 1.2 megabases de DNA na banda 12p13 que resultou na eliminação de 9 genes incluindo ETV6 e CDKN1B. O gene ETV6 codifica um factor de transcrição que é essencial para a formação das diferentes linhagens hematopoiéticas na medula óssea, enquanto CDKN1B é traduzido numa proteína responsável por bloquear a entrada das células na fase G1 do ciclo celular e,consequentemente, por travar a proliferação celular. Neste contexto, os resultados obtidos indicam que a perda simultânea de ETV6 e de CDKN1B, através de uma translocação cromossómica complexa, constituiu uma acção cooperativa na leucemogénese. A mesma noção pode aplicar-se ao caso com dic(9;12), no qual pelo menos 2 genes que codificam para factores de transcrição importantes na linhagem hematopoiética, PAX5 no cromossoma 9 e ETV6 no cromossoma 12, estavam deleccionados como resultado do rearranjo cromossómico. Dado que o factor de transcrição PAX5 regula negativamente a expressão do gene FLT3, que desempenha uma função pró-proliferativa, é expectável que a haplo-insuficiência de PAX5 no caso com dic(9;12) terá tido como consequência uma elevação dos níveis de expressão de FLT3, contribuindo deste modo para uma proliferação celular aumentada. A t(X;20;16) foi identificada num doente com trombocitémia essencial (TE), uma doença que está intimamente relacionada com alterações de vias intracelulares reguladas por citocinas. Neste caso, através da utilização de um array genómico, identificámos a presença de pequenas delecções associadas com os pontos de quebra nos cromossomas 16 e 20. No cromossoma 16 apenas um gene, MAF, estava deleccionado, enquanto no cromossoma 20 a delecção tinha abrangido 3 genes. Dos genes deleccionados, dois deles, NFATC2 (20q13) e MAF (16q23), codificam proteínas que operam como reguladores transcricionais de citocinas hematopoiéticas. Dado que NFATC2 se localiza numa região que constitui um alvo frequente de delecções em neoplasmas ieloproliferativos, incluindo a trombocitémia essencial,efectuámos um estudo detalhado do papel deste gene na proliferação megacariocítica e na regulação da expressão de uma citocina hematopoiética (GM-CSF), implicada na maturação das diferentes linhagens mielóides. Utilizando um modelo de linha celular de trombocitémia essencial, verificámos que a supressão do transcrito do gene NFATC2 in vitro, por interferência de RNA, estava associada com um aumento da proliferação celular. Em concordância, o bloqueio da activação da proteína NFATC2 através de um inibidor específico da sua interacção com a calcineurina, conduziu a um aumento da proliferação celular in vitro. Utilizando a PCR quantitativa em tempo real, detectou-se um aumento da produção do RNA de GM-CSF em ambos os ensaios celulares, indicando que o factor de transcrição NFATC2 pode regular negativamente a expressão de GM-CSF em células de trombocitémia essencial. No geral, estes resultados mostram que a redução dos níveis fisiológicos do transcrito NFATC2, ou a redução da respectiva actividade proteica, estão relacionados com a proliferação de megacariocitos através do aumento da produção de GM-CSF. De acordo com estes resultados, verificámos que as células dos doentes com TE apresentam níveis mais baixos do transcrito NFATC2 do que a população normal. Dado que o factor de transcrição MAF desempenha igualmente um papel como regular transcricional de citocinas, é plausível que a haplo-insuficiência dos genes NFATC2 e MAF, resultante do rearranjo cromossómico complexo t(X;20;16), teve um efeito cooperativo importante na patogénese da trombocitémia essencial através da alteração do padrão normal de expressão das citocinas hematopoiéticas. Em síntese, efectuámos nesta dissertação um estudo citogenético de 4 translocações cromossómicas complexas incluindo t(12;21;5), t(12;6;15), t(9;11;19) e t(X;20;16), e de uma translocação dicêntrica dic(9;12), associadas com diferentes neoplasmas hematológicos. Em casos seleccionados efectuámos também um estudo molecular detalhado das regiões dos pontos de quebra. Esta análise permitiu-nos identificar 2 genes, CCDC94 no cromossoma 19 e NFATC2 no cromossoma 20, cuja haplo-insuficiência pode promover o aumento da proliferação celular das células leucémicas. A partir destes estudos podem ser retiradas 2 noções principais: (i) Os pontos de quebra adicionais, que ocorrem em translocações complexas associadas com a formação de genes de fusão, podem ter como consequência a desregulação de genes controladores da proliferação celular (e.g., CCDC94); (ii) As translocações complexas caracterizadas pela ausência de genes de fusão recorrentes poderão estar preferencialmente associadas com a presença de delecções, envolvendo um ou mais genes, nos pontos de quebra; nestas situações, serão necessários pelo menos 2 genes com funções celulares semelhantes (e.g., NFATC2 e MAF) ou complementares (e.g., ETV6 e CDKN1B) para, quando deleccionados, promoverem de forma cooperativa a leucemogénese. Nestes termos, o modelo de alterações genéticas sequenciais que caracteriza o desenvolvimento do cancro pode ser substituído por um modelo em que vários genes-alvo são simultaneamente desregulados pela formação de uma translocação cromossómica complexa, evitando deste modo a necessidade de ocorrência de alterações genéticas subsequentes.----------------------ABSTRACT: Tumourigenesis is a multistep process which results from the accumulation of successive genetic mutations in a normal cell. In leukemia for instance, recurrent translocations play a part in this process by generating fusion genes which lead to the production of hybrid proteins with an oncogenic role. However, a minor subset of chromosomal translocations referred to as complex or variant involves extra breakpoints at variable genome locations in addition to those implicated in the formation of fusion genes. We aimed to describe in this work the role, if any, of genes located at extra breakpoint locations or which are affected by breakpoint-adjacent deletions through the study of 5 leukemia patients.Two of the patients presented with TV6(12p13)-RUNX1(21q22) and MLL(11q23)- MLLT3(9p22) fusion genes as a result of a t(12;21;5) and a t(9;11;19), respectively. Detailed molecular characterization of the extra breakpoint at chromosome 19 in the latter case revealed that a novel ubiquitously expressed gene, CCDC94, with a potential role in cell cycle regulation, was disrupted by the breakpoint. We demonstrated using in vitro cellular assays that this gene codifies for a nuclear protein which negatively regulates cell cycle progression. These data shows that extra breakpoint locations of complex translocations may result in haplo-insufficiency of critical proliferation genes, thereby cooperating with the generation of hybrid proteins to provide unrestrained cell proliferation. In the other 3 patients there were reakpoint-associated deletions which precluded the formation of putative fusion genes. In a case with a t(12;6;15) we characterized a deletion at 12p13 which eliminated ETV6 and 8 other genes including CDKN1B. These findings indicate that concomitant loss of ETV6 and CDKN1B, which encodes a cyclin-dependent kinase inhibitor responsible for blocking entry of cells into the G1 phase of the cell cycle, acted cooperatively to promote leukemogenic proliferation. The same notion applied to a case with a dic(9;12) in which 2 genes encoding hematopoietic transcription factors - ETV6 and PAX5 (9p13)- were deleted as a result of breakpoint-adjacent deletions. Similarly, we found that 2 transcription factor genes involved in the regulation of cytokine expression, NFATC2 (20q13) and MAF (16q23), were involved in deletions contiguous to the breakpoints in a patient with a t(X;20;16). In vitro suppression of NFATC2 mRNA or inhibiton of NFATC2 protein activity enhanced cell proliferation as a result of an increase in the production of a myeloid-lineage stimulating hematopoietic cytokine, GM-CSF. These results suggest that haplo-insufficiency of NFATC2 and MAF genes had a cooperative effect in inducing cell proliferation as a result of a disregulation of cytokine production. Two main conclusions may be drawn from our studies: (i) In complex translocations associated with the production of fusion genes, additional breakpoints may cooperate in tumourigenesis by targeting genes that control cell proliferation; (ii) In complex translocations associated with small breakpoint-adjacent deletions, at least 2 genes with similar or complementary functions need to be deregulated to promote tumourigenesis.

Local Development Initiatives in Metropolitan Areas' Suburban Municipalities: a comparative case-study between Amadora (Lisbon-PT) and Diadema (São Paulo-BR)

MARQUES, B.P. e CARVALHO, R. (2010) "Local Development Initiatives in Metropolitan Areas' Suburban Municipalities: a comparative case-study between Amadora (Lisbon-PT) and Diadema (São Paulo-BR)", in Actas do 16.º Congresso da APDR, Funchal, pp. 1053-1083, ISBN 978-989-96353-1-9.

Renal and urinary findings in 20 patients with Williams-Beuren syndrome diagnosed by fluorescence in situ hybridization (FISH)

PURPOSE: Williams-Beuren syndrome is a rare multiple anomalies/mental retardation syndrome caused by deletion of contiguous genes at chromosome region 7q11.23. The aim of this work was to determine the frequency and the types of renal and urinary tract anomalies in 20 patients with Williams-Beuren syndrome. METHODS: The fluorescence in situ hybridization test using a LSI Williams syndrome region DNA probe was performed for all 20 patients to confirm the diagnosis of Williams-Beuren syndrome. A prospective study was performed in order to investigate renal and urinary aspects using laboratory assays to check renal function, ultrasonography of the kidneys and urinary tract, voiding cystourethrogram and urodynamics. RESULTS: Deletion of the elastin gene (positive fluorescence in situ hybridization test) was found in 17 out of 20 patients. Renal alterations were diagnosed in 5 of 17 (29%) the patients with the deletion and in 1 of 3 patients without the deletion. Fourteen patients with the deletion presented dysfunctional voiding. Arterial hypertension was diagnosed in 3 patients with deletions and 1 of these presented bilateral stenosis of the renal arteries. CONCLUSIONS: Due to the high incidence of renal and urinary abnormalities in Williams-Beuren syndrome, performing a systematic laboratory and sonographic evaluation of the patients is recommended.

Tendon regeneration through a scaffold-free approach: development of tenogenic magnetic hASCs sheets

Tendon's regeneration is limited, demanding for cell-based strategies to fully restore their functionality upon injury. The concept of magnetic force-based TE(1), generally using magnetic nanoparticles may enable, for example, stem cell stimulation and/or remote control over TE constructs. Thus, we originally propose the development of magnetic cell sheets (magCSs) with tenogenic capability, aimed at promoting tendon's regeneration. A Tenomodulin (TNMD+) subpopulation was sorted from human adipose stem cells (hASCs), using TNMD-coated immunomagnetic beads(2) and used as cell source for the development of magCSs. Briefly, cells were labeled with iron oxide composite particles (Micromod) and cultured for 7 days in α-MEM medium with or without magnetic stimulation provided by a magnetic device (nanoTherics). CSs were retrieved from the plates using magnet attraction as contiguous sheets of cells within its own deposited ECM.

Environmental determinants for natural regeneration of gallery forest at the Cerrado/Amazonia boundaries in Brazil

Natural regeneration and structure and their relationship to environmental variables were studied in three sections of a gallery forest, in Eastern Mato Grosso, Brazil (14º43′S and 52º21′W). The assumption was that natural regeneration is constrained by environmental determinants at all stages of development of the tree community. The objective was to analyse the forest structure and to verify the relationship between species distribution and abundance at different stages of regeneration and environmental variables. In each section, 47 contiguous (10x10m) permanent plots were established to sample trees (gbh≥15cm), following a systematic design. Seedlings (0.01 to 1m height), saplings (1.01 to 2m) and poles (from 2.01m height to gbh<15cm) were sampled in sub-plots of 1x1m, 2x2m and 5x5m, respectively. In each plot, soil properties, gaps projection, bamboos, rocky cover, declivity and depth of ground watertable were determined. The relationships between the environmental variables with trees and seedling communities were assessed by canonical correspondence analysis. In spite of the sections being near to each other, they presented large differences in floristics, structure and site conditions. The forest soil presented a low cation exchange capacity and a high level of Al saturation. The occurrence of bamboos and gaps and the depth of ground watertable limited the occurrence of poles and trees. The high degree of structural heterogeneity for each regeneration category was related primarily to a humidity gradient; but soil fertility (Ca+Mg) was also a determinant of seedling and sapling communities.

Ecologia da ictiofauna de um córrego de cabeceira da bacia do alto rio Paraná, Brasil

Ecological studies were conducted in the ichthyofauna of Cedro, a small headwater stream located in a degraded area of State of São Paulo, Brazil, situated in the upper Paraná River basin. These are the results of two non-consecutive years observations and collections in two biotopes of that stream: a pool and a rapid. The ecological characteristics studied change in space and time. The present richness of species is high (21 species), nine of which are constant, six accessory and six accidental. The diversity is low (0.69 to 2.38), and the numeric predominance, from one to three species, occurred in both biotopes. The most frequent species are Poecilia reticulata (Peters, 1859) (28.1%), Corydoras cf. aeneus (Gill, 1858) (20.3%) and Hypostomus cf. ancistroides (Ihering, 1911) (19.8%). The density ranges from 0.7 to 19.8 specimens/m³. The similarity index indicates high similarity between the ichthyofauna (45.0% to 95.0%) inside the same or contiguous biotopes. The evenness (0.46 to 1.0) is comparable to those found in similar studies carried out in other streams.

Enrutament i control de flux en xarxes híbrides satèl·lit-terrestre

Les xarxes híbrides satèl·lit-terrestre ofereixen connectivitat a zones remotes i aïllades i permeten resoldre nombrosos problemes de comunicacions. No obstant, presenten diversos reptes, ja que realitzen la comunicació per un canal mòbil terrestre i un canal satèl·lit contigu. Un d'aquests reptes és trobar mecanismes per realitzar eficientment l'enrutament i el control de flux, de manera conjunta. L'objectiu d'aquest projecte és simular i estudiar algorismes existents que resolguin aquests problemes, així com proposar-ne de nous, mitjançant diverses tècniques d'optimització convexa. A partir de les simulacions realitzades en aquest estudi, s'han analitzat àmpliament els diversos problemes d'enrutament i control de flux, i s'han avaluat els resultats obtinguts i les prestacions dels algorismes emprats. En concret, s'han implementat de manera satisfactòria algorismes basats en el mètode de descomposició dual, el mètode de subgradient, el mètode de Newton i el mètode de la barrera logarítmica, entre d'altres, per tal de resoldre els problemes d'enrutament i control de flux plantejats.

Stereoselective total synthesis of some insect pheromones: (±)-serricornine and (±)-invictolide

An efficient (12 steps, 12% overallyield) and stereoselective total synthesis of (±)-serricornine (1) the sex pheromone of the cigarette beetle (Lasioderma serricornine F) is described. The preparation of intermediate 5, which encompasses the proper relative configuration of three contiguous chiral centers of (±)-invictolide, (3), is discussed.