1000 resultados para Expression constructive
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Finding the optimal value for a problem is usual in many areas of knowledge where in many cases it is needed to solve Nonlinear Optimization Problems. For some of those problems it is not possible to determine the expression for its objective function and/or its constraints, they are the result of experimental procedures, might be non-smooth, among other reasons. To solve such problems it was implemented an API contained methods to solve both constrained and unconstrained problems. This API was developed to be used either locally on the computer where the application is being executed or remotely on a server. To obtain the maximum flexibility both from the programmers’ and users’ points of view, problems can be defined as a Java class (because this API was developed in Java) or as a simple text input that is sent to the API. For this last one to be possible it was also implemented on the API an expression evaluator. One of the drawbacks of this expression evaluator is that it is slower than the Java native code. In this paper it is presented a solution that combines both options: the problem can be expressed at run-time as a string of chars that are converted to Java code, compiled and loaded dynamically. To wide the target audience of the API, this new expression evaluator is also compatible with the AMPL format.
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Microbiology, 154
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Two monoclonal antibodies anti-component 5 of Trypanosoma cruzi (I-35/115 and II-190/30) were tested in IFA and ELISA respectively against 35 T. cruzi laboratory clones. Among the 35 clones tested, 18 different isozyme patterns were detected. All clones were recognized by both monoclonal antibodies except one clone which did not react with II-190/30. These results support the universal expression of specific component 5 within the taxon T. cruzi.
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Leishmania braziliensis braziliensis(MHOM/BR/75/M2903) was grown in Schneider's Drosophila medium. In one set of experiments promastigotes were already adapted to the medium by means of serial passages whereas in the second cells were grown in a biphasic medium and transfered to the liquid. Growth was more abundant for culture medium adapted cells; degenerate cells in small numbers as well as dead ones were present from day 5 for promastigotes adapted to liquid medium and from day 3 for newly adapted cells. Synthesis of surface antigens differed according to length of cell culture as assessed by the titer of five mucocutaneous leishmaniasis sera on subsequent days. Five days of culture for cells already adapted to the culture medium and 3 days for newly adapted ones were judged to be the best for the preparation of immunofluorescence antigens.
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To meet the increasing demands of the complex inter-organizational processes and the demand for continuous innovation and internationalization, it is evident that new forms of organisation are being adopted, fostering more intensive collaboration processes and sharing of resources, in what can be called collaborative networks (Camarinha-Matos, 2006:03). Information and knowledge are crucial resources in collaborative networks, being their management fundamental processes to optimize. Knowledge organisation and collaboration systems are thus important instruments for the success of collaborative networks of organisations having been researched in the last decade in the areas of computer science, information science, management sciences, terminology and linguistics. Nevertheless, research in this area didn’t give much attention to multilingual contexts of collaboration, which pose specific and challenging problems. It is then clear that access to and representation of knowledge will happen more and more on a multilingual setting which implies the overcoming of difficulties inherent to the presence of multiple languages, through the use of processes like localization of ontologies. Although localization, like other processes that involve multilingualism, is a rather well-developed practice and its methodologies and tools fruitfully employed by the language industry in the development and adaptation of multilingual content, it has not yet been sufficiently explored as an element of support to the development of knowledge representations - in particular ontologies - expressed in more than one language. Multilingual knowledge representation is then an open research area calling for cross-contributions from knowledge engineering, terminology, ontology engineering, cognitive sciences, computational linguistics, natural language processing, and management sciences. This workshop joined researchers interested in multilingual knowledge representation, in a multidisciplinary environment to debate the possibilities of cross-fertilization between knowledge engineering, terminology, ontology engineering, cognitive sciences, computational linguistics, natural language processing, and management sciences applied to contexts where multilingualism continuously creates new and demanding challenges to current knowledge representation methods and techniques. In this workshop six papers dealing with different approaches to multilingual knowledge representation are presented, most of them describing tools, approaches and results obtained in the development of ongoing projects. In the first case, Andrés Domínguez Burgos, Koen Kerremansa and Rita Temmerman present a software module that is part of a workbench for terminological and ontological mining, Termontospider, a wiki crawler that aims at optimally traverse Wikipedia in search of domainspecific texts for extracting terminological and ontological information. The crawler is part of a tool suite for automatically developing multilingual termontological databases, i.e. ontologicallyunderpinned multilingual terminological databases. In this paper the authors describe the basic principles behind the crawler and summarized the research setting in which the tool is currently tested. In the second paper, Fumiko Kano presents a work comparing four feature-based similarity measures derived from cognitive sciences. The purpose of the comparative analysis presented by the author is to verify the potentially most effective model that can be applied for mapping independent ontologies in a culturally influenced domain. For that, datasets based on standardized pre-defined feature dimensions and values, which are obtainable from the UNESCO Institute for Statistics (UIS) have been used for the comparative analysis of the similarity measures. The purpose of the comparison is to verify the similarity measures based on the objectively developed datasets. According to the author the results demonstrate that the Bayesian Model of Generalization provides for the most effective cognitive model for identifying the most similar corresponding concepts existing for a targeted socio-cultural community. In another presentation, Thierry Declerck, Hans-Ulrich Krieger and Dagmar Gromann present an ongoing work and propose an approach to automatic extraction of information from multilingual financial Web resources, to provide candidate terms for building ontology elements or instances of ontology concepts. The authors present a complementary approach to the direct localization/translation of ontology labels, by acquiring terminologies through the access and harvesting of multilingual Web presences of structured information providers in the field of finance, leading to both the detection of candidate terms in various multilingual sources in the financial domain that can be used not only as labels of ontology classes and properties but also for the possible generation of (multilingual) domain ontologies themselves. In the next paper, Manuel Silva, António Lucas Soares and Rute Costa claim that despite the availability of tools, resources and techniques aimed at the construction of ontological artifacts, developing a shared conceptualization of a given reality still raises questions about the principles and methods that support the initial phases of conceptualization. These questions become, according to the authors, more complex when the conceptualization occurs in a multilingual setting. To tackle these issues the authors present a collaborative platform – conceptME - where terminological and knowledge representation processes support domain experts throughout a conceptualization framework, allowing the inclusion of multilingual data as a way to promote knowledge sharing and enhance conceptualization and support a multilingual ontology specification. In another presentation Frieda Steurs and Hendrik J. Kockaert present us TermWise, a large project dealing with legal terminology and phraseology for the Belgian public services, i.e. the translation office of the ministry of justice, a project which aims at developing an advanced tool including expert knowledge in the algorithms that extract specialized language from textual data (legal documents) and whose outcome is a knowledge database including Dutch/French equivalents for legal concepts, enriched with the phraseology related to the terms under discussion. Finally, Deborah Grbac, Luca Losito, Andrea Sada and Paolo Sirito report on the preliminary results of a pilot project currently ongoing at UCSC Central Library, where they propose to adapt to subject librarians, employed in large and multilingual Academic Institutions, the model used by translators working within European Union Institutions. The authors are using User Experience (UX) Analysis in order to provide subject librarians with a visual support, by means of “ontology tables” depicting conceptual linking and connections of words with concepts presented according to their semantic and linguistic meaning. The organizers hope that the selection of papers presented here will be of interest to a broad audience, and will be a starting point for further discussion and cooperation.
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This paper aims to study the best way to express the parasitemia of Trypanosoma cruzi's experimentally infected animals. Individual scores may have a great variability, not emphasized by the majority of the authors. A group of 50 rats infected with 1x10(6) trypomastigotes of T. cruzi Y strain was used and the parasitemia was estimated by BRENER' s method. The results showed that the median can avoid false results due to very high or low parasitemias but it does not have the mathematic properties necessary for analysis of variance. The comparison of the means of the original and transformed data, with their respective coefficients of variability (CV), showed that the logarithmic mean (Mlog) have the minor value of CV. Therefore, the Mlog is the best way to express the parasitemia when the data show great variability. The number of the animal for group did not affect the variability of data when the Mlog and CV were used.
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Thesis presented to obtain the Ph.D. degree in Biology (Molecular Genetics), by the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia.
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A S. mansoni adult worm cDNA expression library was screened with sera from baboons in a early phase after infection. The clones that were positive with the early infection sera were examined for reactivity with pre-infection sera and heterologous infection sera. In order to discriminate a positive antibody reaction from the reactivity due to residual anti-E. coli antibodies, an unrelated cDNA clone was plated with the positive clone. The unrelated clone provided the negative background and the contrast necessary to discern a positive antibody reaction. In this way, we were able to eliminate selected clones that were positive with the pre-infection sera or heterologous infection sera. This characterization of the expression library clones enabled us to quickly target only clones with the desired pattern of antibody reactivity for sequencing, subcloning, and expressing
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Dissertation presented to obtain a Ph.D. degree in Sciences of Engineering and Technology, Cell Technology, at the Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa
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Plos Genetics, 5(7): ARTe1000566
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Dissertação para obtenção do Grau de Mestre em Biotecnologia
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Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina
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A função de escalonamento desempenha um papel importante nos sistemas de produção. Os sistemas de escalonamento têm como objetivo gerar um plano de escalonamento que permite gerir de uma forma eficiente um conjunto de tarefas que necessitam de ser executadas no mesmo período de tempo pelos mesmos recursos. Contudo, adaptação dinâmica e otimização é uma necessidade crítica em sistemas de escalonamento, uma vez que as organizações de produção têm uma natureza dinâmica. Nestas organizações ocorrem distúrbios nas condições requisitos de trabalho regularmente e de forma inesperada. Alguns exemplos destes distúrbios são: surgimento de uma nova tarefa, cancelamento de uma tarefa, alteração na data de entrega, entre outros. Estes eventos dinâmicos devem ser tidos em conta, uma vez que podem influenciar o plano criado, tornando-o ineficiente. Portanto, ambientes de produção necessitam de resposta imediata para estes eventos, usando um método de reescalonamento em tempo real, para minimizar o efeito destes eventos dinâmicos no sistema de produção. Deste modo, os sistemas de escalonamento devem de uma forma automática e inteligente, ser capazes de adaptar o plano de escalonamento que a organização está a seguir aos eventos inesperados em tempo real. Esta dissertação aborda o problema de incorporar novas tarefas num plano de escalonamento já existente. Deste modo, é proposta uma abordagem de otimização – Hiper-heurística baseada em Seleção Construtiva para Escalonamento Dinâmico- para lidar com eventos dinâmicos que podem ocorrer num ambiente de produção, a fim de manter o plano de escalonamento, o mais robusto possível. Esta abordagem é inspirada em computação evolutiva e hiper-heurísticas. Do estudo computacional realizado foi possível concluir que o uso da hiper-heurística de seleção construtiva pode ser vantajoso na resolução de problemas de otimização de adaptação dinâmica.
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RESUMO: Os Staphylococcus aureus resistentes à meticilina (MRSA, do inglês “methicillin-resistant Staphylococcus aureus”) são um dos principais agentes responsáveis por infeções hospitalares. Os MRSA são resistentes a praticamente todos os antibióticos β-lactâmicos devido a dois mecanismos principais: produção de β-lactamase (bla), codificada pelo gene blaZ, e produção de uma proteína de ligação à penicilina (PBP2a, do inglês “penicillin binding protein 2”), codificada pelo gene mecA. Estes dois genes são regulados por sistemas homólogos, constituídos por um sensor-transdutor (BlaR1 e MecR1) e um repressor (BlaI e MecI), de tal modo que ambos os sistemas são capazes de co-regular os genes mecA e blaZ, embora com eficiências de indução muito diferentes. De facto, a indução mediada pelo sistema mecI-mecR1 é tão lenta que se acredita que este sistema não está funcional na maioria das estirpes MRSA. No entanto, dados recentes do nosso laboratório, demonstram a ausência de relação entre a presença do gene mecI e o nível de resistência à meticilina em estirpes MRSA epidémicas, e também que, o fenótipo de resistência da grande maioria das estirpes não é perturbado pela sobre-expressão em trans do repressor mecI. Curiosamente, as duas estirpes em que a expressão da resistência foi afetada pela sobre-expressão do mecI são negativas para o locus da β-lactamase, o que sugere que este locus pode interferir diretamente com a repressão do gene mecA mediada pelo MecI. Nesta tese de mestrado esta hipótese foi explorada usando estratégias de biologia molecular e ensaios fenotípicos da resistência aos -lactâmicos. Os resultados obtidos demonstram que a presença do plasmídeo nativo da β-lactamase não só anula a repressão mediada pelo MecI, como também aumenta o nível de resistência das estirpes parentais. Várias hipóteses foram então formuladas para explicar estas observações. Dados preliminares, em conjunto com evidências experimentais publicadas, sugerem que o BlaI forma hetero-dímeros com o MecI que, após a indução, são inativados eficientemente pelo BlaR1. Em conclusão, estes resultados apresentam novas perspetivas para o mecanismo de regulação do mecA e para uma nova importante função do operão da β-lactamase para o fenótipo das estirpes MRSA.-------------------ABSTRACT: Methicillin-resistant Staphylococcus aureus (MRSA) is an important nosocomial pathogen and is also emerging in the community. MRSA is cross-resistant to virtually all β-lactam antibiotics and has acquired two main resistance mechanisms: production of β-lactamase (bla), coded by blaZ, and production of penicillin binding protein 2a (PBP2a), coded by mecA. Both genes are regulated by homologous sensor-transducers (BlaR1 and MecR1) and repressors (BlaI and MecI), and coregulation of mecA and blaZ by both systems has been demonstrated, although with remarkable different efficiencies. In fact, induction of mecA by mecI-mecR1 is so slow that it is believed it is not functional in most MRSA strains. However, recent data from our laboratory has unexpectedly demonstrated that not only there is no correlation between the presence of mecI gene and the resistance level in epidemic MRSA strains, but also that for most strains there were no significant changes on the resistance phenotype upon the mecI overexpression in trans. Interestingly, the two strains in which mecI overexpression affected the resistance expression were negative for the bla locus, suggesting that this locus may interfere directly with the MecI-mediated repression of mecA and account for those puzzling observations. In this master thesis we have explored this hypothesis using molecular biology strategies and phenotypic analysis of -lactam resistance. The data obtained demonstrate that the presence of a wild-type plasmid containing the bla locus not only disrupts the MecImediated repression, but also significantly enhances the expression of resistance. Several preliminary hypotheses were formulated to explain these observations and preliminary data, together with published evidence, support the working model that BlaI forms functional hetero-dimers with MecI, which upon induction are readily inactivated by BlaR1. These results provide new insights into the regulatory mechanism(s) of mecA and open new perspectives for the role of β-lactamase operon in the MRSA phenotype.