Determinação física e numérica de corridas de lama resultantes de ruptura de barreira retendo material viscoplástico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Da noção ao texto: um estudo enunciativo da produção textual

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Zoneamento geoambiental do município de Praia Grande (SP): uma contribuição aos estudos sobre a Baixada Santista

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Avaliação em modelo fotoelástico do sistema de força gerado pela mola T de retração

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Verbos em movimento em inglês: uma proposta de descrição e ensino por meio do modelo de integração conceptual

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Integração conceptual na descrição de fenômenos gramaticais do português

Functional grammar currently has a great acceptance in linguistics, mainly because it can enlighten grammatical facts' motivation in the structure of a text. From its emergence, the tradition of studying grammar by grammar has come to an end. Demonstrative pronouns, for instance, have begun to be viewed as efficient tools of text cohesion, used to resume terms from previous clauses. This task, however, ends up leaving an endless trail of black boxes. How is it possible to explain the origin of demonstratives' anaphoric functioning if they are originally used to indicate things or people relative to the interlocutors' spatial position? This work aims at showing that Cognitive Linguistics arises just as an option for opening those black boxes. This article focuses on one of its themes - the conceptual blending theory - to support this possibility. Firstly, it was necessary to integrate the cognitive model into the complexity theory, according to Bybee (2010) and Castilho (2009), who understand language as a complex adaptive system. After that, a brief updated description on the conceptual blending theory is made and its application in some grammatical facts of the Brazilian Portuguese language is suggested under the morphological and syntactic levels.

Uma arquitetura multiagente para sistemas de supervisão e controle de processos

Pós-graduação em Ciência da Computação - IBILCE

Ultrastructural features of spermatogenesis in Melanorivulus punctatus (Cyprinodontiformes: Rivulidae)

Fish belonging to the family Rivulidae possess one of the most complex reproductive systems. Rivulus, a genus of freshwater fish in the Rivulidae family, was recently reclassified into five genera, including Melanorivulus. Its type species, M. punctatus, is widely distributed and probably represents a species complex. The ultrastructure of sperm has been broadly used in systematics, and we hereby describe the ultrastructural features of spermatogenesis in M. punctatus. Ten M. punctatus males were collected from the reservoir of Parque Estadual da Quineira, municipality of Chapada dos Guimardes, Mato Grosso, Brazil, and prepared for analysis by light microscopy and transmission electron microscopy. M. punctatus undergoes cystic spermatogenesis. Its cysts consist of groups of germ cells that are in synchronous development and are surrounded by cytoplasmic projections of Sertoli cells. With the breakdown of the cysts, the spermatozoa are released and their maturation is completed in the duct, where part of the cytoplasmic material is discarded through the vesicles. The mature spermatozoon is characterized by a spherical head with homogeneously condensed chromatin, a symmetric midpiece consisting of a pair of perpendicular centrioles, a ring of mitochondria, several vesicles, and one flagellum medial to the nucleus. Early stages of spermatogenesis show no peculiarities; however, in spermiogenesis, we observed that the spermatids remain interconnected by cytoplasmic bridges and have pockets of residual cytoplasm. The sperm is of the aquasperm type and is similar to that observed in the members of the family Rivulidae. The spermatozoa have a single flagellum that consists of a classic axoneme (9 +2), as found in most groups of fish, despite the lateral extensions. (c) 2014 Elsevier Ltd. All rights reserved.

Avaliação do processo de contaminação e remediação de água subterrânea por hidrocarbonetos

Pós-graduação em Engenharia Civil e Ambiental - FEB

Resgates e abandonos do passado na prática musical litúrgica católica no Brasil entre os pontificados de Pio X e Bento XVI (1903-2013)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Rotações no espaço tridimensional por meio de produtos quaterniônicos

Pós-graduação em Matemática Universitária - IGCE

Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network

This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural network for real time applications. The security margin is used as a stability analysis criterion, considering three-phase short circuit faults with a transmission line outage. The neural network operation consists of two fundamental phases: the training and the analysis. The training phase needs a great quantity of processing for the realization, while the analysis phase is effectuated almost without computation effort. This is, therefore the principal purpose to use neural networks for solving complex problems that need fast solutions, as the applications in real time. The ART neural networks have as primordial characteristics the plasticity and the stability, which are essential qualities to the training execution and to an efficient analysis. The fuzzy ART-ARTMAP neural network is proposed seeking a superior performance, in terms of precision and speed, when compared to conventional ARTMAP, and much more when compared to the neural networks that use the training by backpropagation algorithm, which is a benchmark in neural network area. (c) 2005 Elsevier B.V. All rights reserved.

Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems

This work presents a methodology to analyze electric power systems transient stability for first swing using a neural network based on adaptive resonance theory (ART) architecture, called Euclidean ARTMAP neural network. The ART architectures present plasticity and stability characteristics, which are very important for the training and to execute the analysis in a fast way. The Euclidean ARTMAP version provides more accurate and faster solutions, when compared to the fuzzy ARTMAP configuration. Three steps are necessary for the network working, training, analysis and continuous training. The training step requires much effort (processing) while the analysis is effectuated almost without computational effort. The proposed network allows approaching several topologies of the electric system at the same time; therefore it is an alternative for real time transient stability of electric power systems. To illustrate the proposed neural network an application is presented for a multi-machine electric power systems composed of 10 synchronous machines, 45 buses and 73 transmission lines. (C) 2010 Elsevier B.V. All rights reserved.

Formation and maintenance of complex systems

A complex system is often identified by the absence of a characteristic length, e.g. as in a fractal. A very large system subject to a fragmentation and/or aggregation dynamics passes through such complex configurations. We study statistically creation and maintenance of such configurations in space dimensions d = 1 to 5 and find that they are easily created (maintained) for small (large) d. An intermediate d such as d = 3 seems to be ideal for the creation and maintenance of complex systems. This has consequences in a statistical description of the universe.

The gradually truncated Lévy flight: Stochastic process for complex systems

Power-law distributions, i.e. Levy flights have been observed in various economical, biological, and physical systems in high-frequency regime. These distributions can be successfully explained via gradually truncated Levy flight (GTLF). In general, these systems converge to a Gaussian distribution in the low-frequency regime. In the present work, we develop a model for the physical basis for the cut-off length in GTLF and its variation with respect to the time interval between successive observations. We observe that GTLF automatically approach a Gaussian distribution in the low-frequency regime. We applied the present method to analyze time series in some physical and financial systems. The agreement between the experimental results and theoretical curves is excellent. The present method can be applied to analyze time series in a variety of fields, which in turn provide a basis for the development of further microscopic models for the system. © 2000 Elsevier Science B.V. All rights reserved.