951 resultados para Box-columns
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Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente Perfil de Gestão de Sistemas Ambientais
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Dissertação apresentada para a obtenção do Grau de Mestre em Biotecnologia, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
Dissecting cross-talk between microglia and motoneurons in ALS: signaling events and soluble factors
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Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina
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Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina
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Dissertação para obtenção do Grau de Mestre em Biotecnologia
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This work demonstrates that deltamethrin in low doses produces an excito-repellency effect on triatomines, as already observed for mosquitoes. A wooden box covered with a cloth impregnated with deltamethrin at doses of 2.5 and 5mg ai/m² was utilized for the experiment. The triatomine species studied were Triatoma infestans, Panstrongylus megistus, Rhodnius neglectus and Triatoma sordida. Adults were released in one of the sides of the box and their position was noted in subsequent periods. The observations were realized on the day the cloth was impregnated and subsequently repeated at 30 and 60 days for T. sordida; on day 120, the remaining species were included. Insect mortality and attempts at flight from the box were also observed. Excito-repellency was evident for all species and doses up to day 120. The only species that attempted to fly was P. megistus. The excito-repellency effect may be considered as an additional advantage to the insecticide power, as it should be able to prevent the installation of new colonies by females that fly into the homes, and at the moment of the spraying, it should promote the flushing out of triatomines from the wall crevices and from other shelters.
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Dissertação para a obtenção do Grau de Mestre em Engenharia Biomédica
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Total antigen from Leishmania (Leishmania) amazonensis and isolates from the Leishmania braziliensis complex, along with their respective antigenic fractions obtained by affinity chromatography on concanavalin-A-Sepharose and jacalin-agarose columns evaluated using immunoenzymatic ELISA assay. For this, serum samples from 229 patients were used, grouped as American tegmental leishmaniasis (nº=58), visceral leishmaniasis (nº=28), Chagas disease (nº=49), malaria (nº=32), tuberculosis (nº=13) and healthy volunteers (nº=49). Samples from American tegmentary leishmaniasis showed higher reactivity with antigens isolated from the Leishmania braziliensis complex than with antigens from Leishmania amazonensis (p<0.001). ELISA assays showed a sensitivity range from 60% to 95% with antigens isolated from the Leishmania braziliensis complex. There was marked nonspecific reactivity among serum samples with the use of antigenic fractions binding with concanavalin-A and jacalin from both Leishmania complexes, in comparison with other antigens (p<0.001). The results presented in this study suggest that the use of homologous antigens increases the efficiency of anti-Leishmania immunoglobulin detection, which may be very valuable for diagnostic purposes.
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RESUMO:O glicosilfosfatidilinositol (GPI) é um complexo glicolipídico utlizado por dezenas de proteínas, o qual medeia a sua ancoragem à superfície da célula. Proteínas de superfície celular ancoradas a GPI apresentam várias funções essenciais para a manutenção celular. A deficiência na síntese de GPI é o que caracteriza principalmente a deficiência hereditária em GPI, um grupo de doenças autossómicas raras que resultam de mutações nos genes PIGA, PIGL, PIGM, PIGV, PIGN, PIGO e PIGT, os quais sao indispensáveis para a biossíntese do GPI. Uma mutação pontual no motivo rico em GC -270 no promotor de PIGM impede a ligação do factor de transcrição (FT) Sp1 à sua sequência de reconhecimento, impondo a compactação da cromatina, associada à hipoacetilação de histonas, e consequentemente, impedindo a transcrição de PIGM. Desta forma, a adição da primeira manose ao GPI é comprometida, a síntese de GPI diminui assim como as proteínas ligadas a GPI à superficie das células. Pacientes com Deficiência Hereditária em GPI-associada a PIGM apresentam trombose e epilesia, e ausência de hemólise intravascular e anemia, sendo que estas duas últimas características definem a Hemoglobinúria Paroxística Nocturna (HPN), uma doença rara causada por mutações no gene PIGA. Embora a mutação que causa IGD seja constitutiva e esteja presente em todos os tecidos, o grau de deficiência em GPI varia entre células do mesmo tecido e entre células de tecidos diferentes. Por exemplo nos granulócitos e linfócitos B a deficiência em GPI é muito acentuada mas nos linfócitos T, fibroblastos, plaquetas e eritrócitos é aproximadamente normal, daí a ausência de hemólise intravascular. Os eventos transcricionais que estão na base da expressão diferencial da âncora GPI nas células hematopoiéticas são desconhecidos e constituem o objectivo geral desta tese. Em primeiro lugar, os resultados demonstraram que os níveis de PIGM mRNA variam entre células primárias hematopoiéticas normais. Adicionalmente, a configuração dos nucleossomas no promotor de PIGM é mais compacta em células B do que em células eritróides e tal está correlacionado com os níveis de expressão de PIGM, isto é, inferior nas células B. A presença de vários motivos de ligação para o FT específico da linhagem megacariocítica-eritróide GATA-1 no promotor de PIGM sugeriu que GATA-1 desempenha um papel regulador na sua transcrição. Os resultados mostraram que muito possivelmente GATA-1 desempenha um papel repressor em vez de activador da expressão de PIGM. Resultados preliminares sugerem que KLF1, um factor de transcrição restritamente eritróide, regula a transcrição de PIGM independentemente do motivo -270GC. Em segundo lugar, a investigação do papel dos FTs Sp demonstrou que Sp1 medeia directamente a transcrição de PIGM em ambas as células B e eritróide. Curiosamente, ao contrário do que acontece nas células B, em que a transcrição de PIGM requer a ligação do FT geral Sp1 ao motivo -270GC, nas células eritróides Sp1 regula a transcrição de PIGM ao ligar-se a montante e não ao motivo -270GC. Para além disso, demonstrou-se que Sp2 não é um regulador directo da transcrição de PIGM quer nas células B quer nas células eritróides. Estes resultados explicam a ausência de hemólise intravascular nos doentes com IGD associada a PIGM, uma das principais características que define a HPN. Por último, resultados preliminares mostraram que a repressão da transcrição de PIGM devida à mutação patogénica -270C>G está associada com a diminuição da frequência de interacções genómicas em cis entre PIGM e os seus genes “vizinhos”, sugerindo adicionalmente que a regulação de PIGM e desses genes é partilhada. No seu conjunto, os resultados apresentados nesta tese contribuem para o conhecimento do controlo transcricional de um gene housekeeping, específico-detecido, por meio de FTs genéricos e específicos de linhagem.-------------ABSTRACTC: Glycosylphosphatidylinositol (GPI) is a complex glycolipid used by dozens of proteins for cell surface anchoring. GPI-anchored proteins have various functions that are essential for the cellular maintenance. Defective GPI biosynthesis is the hallmark of inherited GPI deficiency (IGD), a group of rare autosomal diseases caused by mutations in PIGA, PIGL, PIGM, PIGV, PIGN, PIGO and PIGT, all genes indispensable for GPI biosynthesis. A point mutation in the -270GC-rich box in the core promoter of PIGM disrupts binding of the transcription factor (TF) Sp1 to it, imposing nucleosome compaction associated with histone hypoacetylation, thus abrogating transcription of PIGM. As a consequence of PIGM transcriptional repression, addition of the first mannose residue onto the GPI core and thus GPI production are impaired; and expression of GPI-anchored proteins on the surface of cells is severely impaired. Patients with PIGM-associated IGD suffer from life-threatening thrombosis and epilepsy but not intravascular haemolysis and anaemia, two defining features of paroxysmal nocturnal haemoglobinuria (PNH), a rare disease caused by somatic mutations in PIGA. Although the disease-causing mutation in IGD is constitutional and present in all tissues, the degree of GPI deficiency is variable and differs between cells of the same and of different tissues. Accordingly, GPI deficiency is severe in granulocytes and B cells but mild in T cells, fibroblasts, platelets and erythrocytes, hence the lack of intravascular haemolysis.The transcriptional events underlying differential expression of GPI in the haematopoietic cells of PIG-M-associated IGD are not known and constitute the general aim of this thesis. Firstly, I found that PIGM mRNA levels are variable amongst normal primary haematopoietic cells. In addition, the nucleosome configuration in the promoter of PIGM is more compacted in B cells than in erythroid cells and this correlated with the levels of PIGM mRNA expression, i.e., lower in B cells. The presence of several binding sites for GATA-1, a mega-erythroid lineage-specific transcription factor (TF), at the PIGM promoter suggested that GATA-1 has a role on PIGM transcription. My results showed that GATA-1 in erythroid cells is most likely a repressor rather than an activator of PIGM expression. Preliminary data suggested that KLF1, an erythroid-specific TF, regulates PIGM transcription but independently of the -270GC motif. Secondly, investigation of the role of the Sp TFs showed that Sp1 directly mediates PIGM transcriptional regulation in both B and erythroid cells. However, unlike in B cells in which active PIGM transcription requires binding of the generic TF Sp1 to the -270GC-rich box, in erythroid cells, Sp1 regulates PIGM transcription by binding upstream of but not to the -270GC-rich motif. Additionally, I showed that Sp2 is not a direct regulator of PIGM transcription in B and erythroid cells. These findings explain lack of intravascular haemolysis in PIGM-associated IGD, a defining feature of PNH. Lastly, preliminary work shows that transcriptional repression of PIG-M by the pathogenic -270C>G mutation is associated with reduced frequency of in cis genomic interactions between PIGM and its neighbouring genes, suggesting a shared regulatory link between these genes and PIGM. Altogether, the results presented in this thesis provide novel insights into tissuespecific transcriptional control of a housekeeping gene by lineage-specific and generic TFs.
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Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).
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INTRODUCTION: Forecasting dengue cases in a population by using time-series models can provide useful information that can be used to facilitate the planning of public health interventions. The objective of this article was to develop a forecasting model for dengue incidence in Campinas, southeast Brazil, considering the Box-Jenkins modeling approach. METHODS: The forecasting model for dengue incidence was performed with R software using the seasonal autoregressive integrated moving average (SARIMA) model. We fitted a model based on the reported monthly incidence of dengue from 1998 to 2008, and we validated the model using the data collected between January and December of 2009. RESULTS: SARIMA (2,1,2) (1,1,1)12 was the model with the best fit for data. This model indicated that the number of dengue cases in a given month can be estimated by the number of dengue cases occurring one, two and twelve months prior. The predicted values for 2009 are relatively close to the observed values. CONCLUSIONS: The results of this article indicate that SARIMA models are useful tools for monitoring dengue incidence. We also observe that the SARIMA model is capable of representing with relative precision the number of cases in a next year.
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Ion Mobility Spectrometry coupled with Multi Capillary Columns (MCC -IMS) is a fast analytical technique working at atmospheric pressure with high sensitivity and selectivity making it suitable for the analysis of complex biological matrices. MCC-IMS analysis generates its information through a 3D spectrum with peaks, corresponding to each of the substances detected, providing quantitative and qualitative information. Sometimes peaks of different substances overlap, making the quantification of substances present in the biological matrices a difficult process. In the present work we use peaks of isoprene and acetone as a model for this problem. These two volatile organic compounds (VOCs) that when detected by MCC-IMS produce two overlapping peaks. In this work it’s proposed an algorithm to identify and quantify these two peaks. This algorithm uses image processing techniques to treat the spectra and to detect the position of the peaks, and then fits the data to a custom model in order to separate the peaks. Once the peaks are separated it calculates the contribution of each peak to the data.
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Simulated moving bed (SMB) chromatography is attracting more and more attention since it is a powerful technique for complex separation tasks. Nowadays, more than 60% of preparative SMB units are installed in the pharmaceutical and in the food in- dustry [SDI, Preparative and Process Liquid Chromatography: The Future of Process Separations, International Strategic Directions, Los Angeles, USA, 2002. http://www. strategicdirections.com]. Chromatography is the method of choice in these ¯elds, be- cause often pharmaceuticals and ¯ne-chemicals have physico-chemical properties which di®er little from those of the by-products, and they may be thermally instable. In these cases, standard separation techniques as distillation and extraction are not applicable. The noteworthiness of preparative chromatography, particulary SMB process, as a sep- aration and puri¯cation process in the above mentioned industries has been increasing, due to its °exibility, energy e±ciency and higher product purity performance. Consequently, a new SMB paradigm is requested by the large number of potential small- scale applications of the SMB technology, which exploits the °exibility and versatility of the technology. In this new SMB paradigm, a number of possibilities for improving SMB performance through variation of parameters during a switching interval, are pushing the trend toward the use of units with smaller number of columns because less stationary phase is used and the setup is more economical. This is especially important for the phar- maceutical industry, where SMBs are seen as multipurpose units that can be applied to di®erent separations in all stages of the drug-development cycle. In order to reduce the experimental e®ort and accordingly the coast associated with the development of separation processes, simulation models are intensively used. One impor- tant aspect in this context refers to the determination of the adsorption isotherms in SMB chromatography, where separations are usually carried out under strongly nonlinear conditions in order to achieve higher productivities. The accurate determination of the competitive adsorption equilibrium of the enantiomeric species is thus of fundamental importance to allow computer-assisted optimization or process scale-up. Two major SMB operating problems are apparent at production scale: the assessment of product quality and the maintenance of long-term stable and controlled operation. Constraints regarding product purity, dictated by pharmaceutical and food regulatory organizations, have drastically increased the demand for product quality control. The strict imposed regulations are increasing the need for developing optically pure drugs.(...)
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INTRODUCTION:With the ease provided by current computational programs, medical and scientific journals use bar graphs to describe continuous data.METHODS:This manuscript discusses the inadequacy of bars graphs to present continuous data.RESULTS:Simulated data show that box plots and dot plots are more-feasible tools to describe continuous data.CONCLUSIONS:These plots are preferred to represent continuous variables since they effectively describe the range, shape, and variability of observations and clearly identify outliers. By contrast, bar graphs address only measures of central tendency. Bar graphs should be used only to describe qualitative data.
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A capacidade de prever precisamente a produção de energia renovável é extremamente relevante tanto do ponto de vista económico como para controlo da estabilidade da rede elétrica. Para tal, é necessário realizar uma previsão das condições meteorológicas adjacentes à produção de energia a partir de fontes de energia renovável. Vários modelos de previsão têm sido utilizados para este fim, desde modelos atmosféricos a modelos estatísticos, onde se destacam métodos como Redes Neuronais Artificiais ou a Metodologia de Box & Jenkins. Lidar com dados meteo-rológicos pode revelar algumas complicações devido à possível instabilidade das medições, com-plicando o desenvolvimento de um modelo de previsão adequado. Neste trabalho pretende-se realizar a previsão de produção a partir de uma instalação fotovoltaica e um gerador eólico através do uso da Metodologia de Box & Jenkins para desenvolver um modelo capaz de realizar a previsão das condições meteorológicas para diferentes horizontes temporais medidos no topo do edifício do Departamento de Engenharia Eletrotécnica (DEE) da Faculdade de Ciências e Tecnologia (FCT), Universidade Nova de Lisboa (UNL), e usando esses valores para calcular a produção de energia. Os resultados obtidos revelaram um bom desempenho quando comparados os resultados previstos com os resultados reais para o mesmo período de tempo, garantindo que podem ser utilizados para calcular a previsão de potência produzida através das instalações presentes no local e encorajando novos estudos no tema.