Fecundação in vitro de ovócitos bovinos com sêmen submetido a diferentes diluidores

O objetivo deste trabalho foi avaliar a influência do diluidor do sêmen no desenvolvimento in vitro de ovócitos bovinos após a maturação e fecundação in vitro. Ejaculado de um reprodutor foi fracionado e submetido a três diluidores: Lactose/gema de ovo (LG), Citrato/gema de ovo (CG) e Tris/gema de ovo (TG). Amostras deste material foram envasadas, congeladas e estocadas em N² e, posteriormente, descongeladas; a fração móvel foi separada por gradiente descontínuo de Percoll. A concentração espermática foi ajustada para 10 x 10(6)/mL e a capacitação espermática, induzida com 10 µg/mL de heparina. Após 24 horas de cultura para maturação in vitro, os ovócitos, aspirados de folículos ovarianos, foram inseminados com sêmen diluído em meio TALP e, após 48 horas de cultura, os zigotos foram transferidos para gotas de meio TCM 199, com 5% de soro fetal bovino, 5% de soro de vaca em estro e suspensão de células epiteliais do oviduto bovino, cobertas com óleo de silicone, e mantidos em cultura por nove dias. Todas as culturas foram realizadas a 38,5ºC em atmosfera com 5% de CO2. Os dados foram analisados pelo teste do qui-quadrado e houve diferença com relação à taxa de clivagem (TC), sendo as médias de 66,0; 69,3; e 54,4% para LG, CG e TG, respectivamente. Não houve diferença entre tratamentos com relação às taxas de mórulas/blastocistos ou de eclosão. O diluidor do sêmen não teve efeito sobre o desenvolvimento in vitro de embriões bovinos, embora a TC tenha sido afetada.

Esporte como experiência estética e educativaEsporte educativa: uma abordagem fenomenológica

This paper deals with sport as a possibility of disclosing the sensible, and defends the idea that being a sportsperson equals living an aesthetic and educative experience in which one can interacts with the sensible by the athletic body s reverberation of sensations in the dimension of the experienced. We try to answer, in our work, basically three questions: what moves the athlete when practicing a sport? Which are the meanings and motivations for the practice of sports? At what measure the athlete s experience gains an educational character? Sport is debated in this work as an extension of the living, as long as it tries to understand the meanings inherent to sport itself as well as to the sportive experience as a kind of education. In support of our argument, we give a theoretic and philosophical approach to our thesis, based on thinkers like Maurice Merleau-Ponty, Walter Benjamin, Marcel Mauss and Friedrich Schiller. For this purpose, we get support on the phenomenology of the French philosopher Maurice Merleau-Ponty. Our reference is the living world of the athlete and his experience as a field of the sensible. Our point of departure is the analysis of the narratives of sport experiences, including five aesthetic elements; time and space of the body in the sports courts; the look on the sportive context; the contact with the adversary; victory and defeat; the technical gesture. Besides it, we worked out an aesthetic evaluation of the movies Olympia and Invictus , what let us discuss three thematic categories: sensibility, emotions and the play paradox. Subsequently, we point sport as an optimizer of the sensible education, present on the body s processes, like the body in movement. It was also made clear along this paper that we tried to accomplish an analysis on sports centered in the athlete s body as an outfit of the senses to things related to the sensible, whose aesthetic experience overpasses any deterministic conception that should sum up the sportive world to mercantilization, discipline practices and mechanicism. This approach franchises gateways to a Physical Education which, containing sports as one of its support, let pupils enjoy the pleasure of constructing common objectives, incorporating the capacity of replicating, re-making and playing as a field of possibilities offered by an education characterized as being moving, sensible and fitful to a body in movement

Degradabilidade ruminal e digestibilidade intestinal da proteína de capim-elefante com três idades de corte

Determinaram-se a degradabilidade potencial (DP) e a digestibilidade intestinal da proteína não degradada no rúmen (DIPNDR) do capim-elefante em diferentes idades de rebrote (30, 45 e 60 dias) e comparou-se a técnica do saco de náilon móvel (in situ) com o método de três estádios (in vitro). Para tanto, utilizaram-se seis novilhos mestiços canulados no rúmen e duodeno alimentados exclusivamente com capim-elefante picado. O ensaio de degradabilidade foi realizado com amostras do capim incubadas no rúmen por 3, 6, 9, 12, 24, 48, 72, 96 e 120h. A digestibilidade intestinal foi determinada utilizando-se os resíduos de incubação por 24 horas. Na técnica in situ os resíduos em sacos de náilon foram colocados no duodeno e recuperados nas fezes. No método in vitro, os resíduos foram submetidos à digestão com HCl-pepsina-pancreatina. em amostras de capim com idades de 30, 45 e 60 dias foram observados valores de DP da proteína de 87,5; 87,8 e 83,8%, respectivamente. A DIPNDR variou com a idade do capim e foi semelhante entre os métodos in situ e in vitro somente para o capim com 60 dias. O método in situ apresentou estimativa de digestibilidade intestinal mais coerente com as mudanças na composição química do capim-elefante decorrentes do envelhecimento.

Metaheurísticas evolutivas para o problema de roteamento de unidades móveis de pistoneio

This paper presents metaheuristic strategies based on the framework of evolutionary algorithms (Genetic and Memetic) with the addition of Technical Vocabulary Building for solving the Problem of Optimizing the Use of Multiple Mobile Units Recovery of Oil (MRO units). Because it is an NP-hard problem, a mathematical model is formulated for the problem, allowing the construction of test instances that are used to validate the evolutionary metaheuristics developed

Estabilidade e robustez de um controlador adaptativo indireto por um modelo de referência e estrutura variável

In this thesis, it is developed the robustness and stability analysis of a variable structure model reference adaptive controller considering the presence of disturbances and unmodeled dynamics. The controller is applied to uncertain, monovariable, linear time-invariant plants with relative degree one, and its development is based on the indirect adaptive control. In the direct approach, well known in the literature, the switching laws are designed for the controller parameters. In the indirect one, they are designed for the plant parameters and, thus, the selection of the relays upper bounds becomes more intuitive, whereas they are related to physical parameters, which present uncertainties that can be known easier, such as resistances, capacitances, inertia moments and friction coefficients. Two versions for the controller algorithm with the stability analysis are presented. The global asymptotic stability with respect to a compact set is guaranteed for both cases. Simulation results under adverse operation conditions in order to verify the theoretical results and to show the performance and robustness of the proposed controller are showed. Moreover, for practical purposes, some simplifications on the original algorithm are developed

Controle vetorial de velocidade de uma máquina de indução sem mancais trifásica com bobinado dividido utilizando estimação neural de fluxo

This work describes the study and the implementation of the vector speed control for a three-phase Bearingless induction machine with divided winding of 4 poles and 1,1 kW using the neural rotor flux estimation. The vector speed control operates together with the radial positioning controllers and with the winding currents controllers of the stator phases. For the radial positioning, the forces controlled by the internal machine magnetic fields are used. For the radial forces optimization , a special rotor winding with independent circuits which allows a low rotational torque influence was used. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed and radial positioning controllers to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The DSP resources used by the system are: the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system

Estudo de estratégias de otimização para poços de petróleo com elevação por bombeio de cavidades progressivas

The progressing cavity pump artificial lift system, PCP, is a main lift system used in oil production industry. As this artificial lift application grows the knowledge of it s dynamics behavior, the application of automatic control and the developing of equipment selection design specialist systems are more useful. This work presents tools for dynamic analysis, control technics and a specialist system for selecting lift equipments for this artificial lift technology. The PCP artificial lift system consists of a progressing cavity pump installed downhole in the production tubing edge. The pump consists of two parts, a stator and a rotor, and is set in motion by the rotation of the rotor transmitted through a rod string installed in the tubing. The surface equipment generates and transmits the rotation to the rod string. First, is presented the developing of a complete mathematical dynamic model of PCP system. This model is simplified for use in several conditions, including steady state for sizing PCP equipments, like pump, rod string and drive head. This model is used to implement a computer simulator able to help in system analysis and to operates as a well with a controller and allows testing and developing of control algorithms. The next developing applies control technics to PCP system to optimize pumping velocity to achieve productivity and durability of downhole components. The mathematical model is linearized to apply conventional control technics including observability and controllability of the system and develop design rules for PI controller. Stability conditions are stated for operation point of the system. A fuzzy rule-based control system are developed from a PI controller using a inference machine based on Mandami operators. The fuzzy logic is applied to develop a specialist system that selects PCP equipments too. The developed technics to simulate and the linearized model was used in an actual well where a control system is installed. This control system consists of a pump intake pressure sensor, an industrial controller and a variable speed drive. The PI control was applied and fuzzy controller was applied to optimize simulated and actual well operation and the results was compared. The simulated and actual open loop response was compared to validate simulation. A case study was accomplished to validate equipment selection specialist system

Classificação de imagens de ambientes coralinos: uma abordagem empregando uma combinação de classificadores e máquina de vetor de suporte

The use of the maps obtained from remote sensing orbital images submitted to digital processing became fundamental to optimize conservation and monitoring actions of the coral reefs. However, the accuracy reached in the mapping of submerged areas is limited by variation of the water column that degrades the signal received by the orbital sensor and introduces errors in the final result of the classification. The limited capacity of the traditional methods based on conventional statistical techniques to solve the problems related to the inter-classes took the search of alternative strategies in the area of the Computational Intelligence. In this work an ensemble classifiers was built based on the combination of Support Vector Machines and Minimum Distance Classifier with the objective of classifying remotely sensed images of coral reefs ecosystem. The system is composed by three stages, through which the progressive refinement of the classification process happens. The patterns that received an ambiguous classification in a certain stage of the process were revalued in the subsequent stage. The prediction non ambiguous for all the data happened through the reduction or elimination of the false positive. The images were classified into five bottom-types: deep water; under-water corals; inter-tidal corals; algal and sandy bottom. The highest overall accuracy (89%) was obtained from SVM with polynomial kernel. The accuracy of the classified image was compared through the use of error matrix to the results obtained by the application of other classification methods based on a single classifier (neural network and the k-means algorithm). In the final, the comparison of results achieved demonstrated the potential of the ensemble classifiers as a tool of classification of images from submerged areas subject to the noise caused by atmospheric effects and the water column

Análise e classificação de imagens de lesões da pele por atributos de cor, forma e textura utilizando máquina de vetor de suporte

The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries

Classificação de distúrbios na rede elétrica usando redes neurais e wavelets

Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbance s occurrences in the network. This work presents a methodology based on the Discrete Wavelet Transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks

Protocolo multiciclos para automação hospitalar sobre Multicast com IEEE 802.3 utilizando

The concepts of the industrial automation are being incorporated in the medical area, in other words, they also pass to be applied in the hospital automation. In this sense, researches have been developed and have usually been approached several of the problems that are pertinent to the processes that can be automated in the hospital environment. Considering that in the automation processes, an imperative factor is the communication, because the systems are usually distributed, the network for data transference becomes itself an important point in these processes. Because this network should be capable to provide the exchange of data and to guarantee the demands that are imposed by the automation process. In this context, this doctorate thesis proposed, specified, analyzed and validated the Multicycles Protocol for Hospital Automation (MP-HA), which is customized to assist the demands in these automation processes, seeking to guarantee the determinism in the communications and to optimize the factor of use of the mean of transmission