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.

Towards a unified European electricity market: The contribution of data-mining to support realistic simulation studies

Worldwide electricity markets have been evolving into regional and even continental scales. The aim at an efficient use of renewable based generation in places where it exceeds the local needs is one of the main reasons. A reference case of this evolution is the European Electricity Market, where countries are connected, and several regional markets were created, each one grouping several countries, and supporting transactions of huge amounts of electrical energy. The continuous transformations electricity markets have been experiencing over the years create the need to use simulation platforms to support operators, regulators, and involved players for understanding and dealing with this complex environment. This paper focuses on demonstrating the advantage that real electricity markets data has for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations will bring to the participant countries. A case study using MASCEM (Multi-Agent System for Competitive Electricity Markets) is presented, with a scenario based on real data, simulating the European Electricity Market environment, and comparing its performance when using several different market mechanisms.

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.

Integer and Fractional Order Entropy Analysis of Earthquake Data-series

This paper studies the statistical distributions of worldwide earthquakes from year 1963 up to year 2012. A Cartesian grid, dividing Earth into geographic regions, is considered. Entropy and the Jensen–Shannon divergence are used to analyze and compare real-world data. Hierarchical clustering and multi-dimensional scaling techniques are adopted for data visualization. Entropy-based indices have the advantage of leading to a single parameter expressing the relationships between the seismic data. Classical and generalized (fractional) entropy and Jensen–Shannon divergence are tested. The generalized measures lead to a clear identification of patterns embedded in the data and contribute to better understand earthquake distributions.

Entropy Analysis of Industrial Accident Data Series

Complex industrial plants exhibit multiple interactions among smaller parts and with human operators. Failure in one part can propagate across subsystem boundaries causing a serious disaster. This paper analyzes the industrial accident data series in the perspective of dynamical systems. First, we process real world data and show that the statistics of the number of fatalities reveal features that are well described by power law (PL) distributions. For early years, the data reveal double PL behavior, while, for more recent time periods, a single PL fits better into the experimental data. Second, we analyze the entropy of the data series statistics over time. Third, we use the Kullback–Leibler divergence to compare the empirical data and multidimensional scaling (MDS) techniques for data analysis and visualization. Entropy-based analysis is adopted to assess complexity, having the advantage of yielding a single parameter to express relationships between the data. The classical and the generalized (fractional) entropy and Kullback–Leibler divergence are used. The generalized measures allow a clear identification of patterns embedded in the data.

New data on Echinococcus spp. in Southern Brazil

40 Echinococcus isolates from sheep and cattle in Southern Brazil were genetically analysed in order to obtain further data on the presence of different taxa of the Echinococcus granulosus complex. Differentiation was done using a PCR technique and sequencing of mitochondrial cytochrome c oxidase subunit 1 (CO1). Most samples (38) could be allocated to the sheep strain (G1) of E. granulosus, while two samples belonged to E. ortleppi, previously known as cattle strain (G5) of E. granulosus. Due to the shorter prepatent period in dogs of the latter taxon, this records have important implications for the design of control measures in this endemic region.

Fate Hazardous elements in soils surrounding a coal-fired power plant complex

Proceedings of the 13th International UFZ-Deltares Conference on Sustainable Use and Management of Soil, Sediment and Water Resources - 9–12 June 2015 • Copenhagen, Denmark

POLYCLONAL OUTBREAK OF BLOODSTREAM INFECTIONS CAUSED BY Burkholderia cepacia COMPLEX IN HEMATOLOGY AND BONE MARROW TRANSPLANT OUTPATIENT UNITS

Aim: The objective was to describe an outbreak of bloodstream infections by Burkholderia cepacia complex (Bcc) in bone marrow transplant and hematology outpatients.Methods: On February 15, 2008 a Bcc outbreak was suspected. 24 cases were identified. Demographic and clinical data were evaluated. Environment and healthcare workers' (HCW) hands were cultured. Species were determined and typed. Reinforcement of hand hygiene, central venous catheter (CVC) care, infusion therapy, and maintenance of laminar flow cabinet were undertaken. 16 different HCWs had cared for the CVCs. Multi-dose heparin and saline were prepared on counter common to both units.Findings: 14 patients had B. multivorans(one patient had also B. cenopacia), six non-multivorans Bcc and one did not belong to Bcc. Clone A B. multivorans occurred in 12 patients (from Hematology); in 10 their CVC had been used on February 11/12. Environmental and HCW cultures were negative. All patients were treated with meropenem, and ceftazidime lock-therapy. Eight patients (30%) were hospitalized. No deaths occurred. After control measures (multidose vial for single patient; CVC lock with ceftazidime; cleaning of laminar flow cabinet; hand hygiene improvement; use of cabinet to store prepared medication), no new cases occurred.Conclusions: This polyclonal outbreak may be explained by a common source containing multiple species of Bcc, maybe the laminar flow cabinet common to both units. There may have been contamination by B. multivorans (clone A) of multi-dose vials.

Providing energy efficiency location-based strategies for buildings using linked open data

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

IPTV data reduction strategy to measure real users’ behaviours

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Embracing transience and subjectivity in the conservation of complex contemporary artworks: contributions from ethnographic and psychological paradigms

Dissertação para obtenção do Grau de Mestre em Conservação e Restauro, Perfil Ciências da Conservação Especialização em Arte Contemporânea

Sporothrix schenckii COMPLEX: SUSCEPTIBILITIES TO COMBINED ANTIFUNGAL AGENTS AND CHARACTERIZATION OF ENZYMATIC PROFILES

SUMMARY Sporothrix schenckiiwas reclassified as a complex encompassing six cryptic species, which calls for the reassessment of clinical and epidemiological data of these new species. We evaluated the susceptibility of Sporothrix albicans (n = 1) , S. brasiliensis (n = 6) , S. globosa (n = 1), S. mexicana(n = 1) and S. schenckii(n = 36) to terbinafine (TRB) alone and in combination with itraconazole (ITZ), ketoconazole (KTZ), and voriconazole (VRZ) by a checkerboard microdilution method and determined the enzymatic profile of these species with the API-ZYM kit. Most interactions were additive (27.5%, 32.5% and 5%) or indifferent (70%, 50% and 52.5%) for TRB+KTZ, TRB+ITZ and TRB+VRZ, respectively. Antagonisms were observed in 42.5% of isolates for the TRB+VRZ combination. Based on enzymatic profiling, the Sporothrix schenckii strains were categorized into 14 biotypes. Leucine arylamidase (LA) activity was observed only for S. albicans and S. mexicana. The species S. globosaand S. mexicanawere the only species without β-glucosidase (GS) activity. Our results may contribute to a better understanding of virulence and resistance among species of the genus Sporothrixin further studies.

The electron transfer complex between nitrous oxide reductase and its electron donors

J Biol Inorg Chem (2011) 16:1241–1254 DOI 10.1007/s00775-011-0812-9

Electron transfer complex between nitrous oxide reductase and cytochrome c552 from Pseudomonas nautica: kinetic, nuclear magnetic resonance, and docking studies

Biochemistry. 2008 Oct 14;47(41):10852-62. doi: 10.1021/bi801375q

A further investigation of the cytochrome b5–cytochrome c complex

J Biol Inorg Chem (2003) 8: 777–786 DOI 10.1007/s00775-003-0479-y