Serologic evidence of equine granulocytic anaplasmosis in horses from central West Brazil

A Erliquiose é uma doença zoonótica causada por bactérias gram-negativas e intracelulares obrigatórias. A Anaplasmose Granulocítica Equina - AGE (anteriormente denominada Erliquiose Granulocítica Equina, EGE) é uma enfermidade sazonal, normalmente auto-limitante em equinos. No Brasil, existem poucos relatos deste agente erliquial, bem como de seus vetores naturais. Atualmente, veterinários têm levantado a suspeita de casos de AGE em equinos com sinais clínicos sugestivos de erliquiose e não responsivos ao tratamento para a piroplasmose equina. O objetivo do presente estudo foi identificar equinos expostos a A. phagocytophilum por meio de técnicas sorológicas e moleculares. Vinte amostras de sangue e soro de equinos da região Centro-oeste do Brasil foram avaliados por meio do exame microscópico de capa leucocitária, ensaio imunoenzimático indireto (ELISA), reação de imunofluorescência indireta (RIFI) e reação em cadeia da polimerase (nested PCR). Adicionalmente, o diagnóstico sorológico de Theileria equi pela RIFI e ELISA foram realizados, assim como o diagnóstico molecular pelo nPCR. Treze (65%) amostras de soro foram positivas para A. phagocytophilum pelo teste de ELISA, entretanto nenhum equino foi positivo pelo exame microscópico da capa leucocitária ou nPCR. Anticorpos IgG anti-T. equi foram detectados em 18 (90%) e 17 (85%) equinos pela RIFI e ELISA, respectivamente e o agente foi detectado em 9 (45%) animais pelo nPCR. Estes dados sugerem importante informação para o entendimento da ocorrência da AGE e piroplasmose equina no Centro-oeste do Brasil.

Qualidade dos bulbos de cebola 'Superex' armazenados sob refrigeração, quando expostos à condição ambiente

O armazenamento refrigerado da cebola tem sido recomendado como ideal, mas os produtores sempre questionam sobre a qualidade comercial e o consumo dos bulbos durante este período e depois de levados à condição ambiente. Avaliou-se a qualidade de bulbos de cebola ´Superex' acondicionados em sacos de rede de fibra plástica e armazenados a 10-12°C (68% UR) por até 91 dias, quando levados à condição ambiente. Após 1; 16; 31; 61 e 91 dias foram tomadas amostras, ao acaso, que eram levadas à condição ambiente (22°C, 59% UR). Estas cebolas foram avaliadas quanto à massa fresca, aparência e ocorrência de podridões, e quanto à coloração interna, luminosidade, ângulo de cor e cromaticidade, atividade da aliinase e teores de sólidos solúveis e de acidez titulável. Os bulbos, quando levados ao ambiente, perderam massa com maior intensidade do que quando armazenados sob refrigeração e mantiveram qualidade aceitável por até 38 dias. Somente os armazenados sob refrigeração por 91 dias tinham aparência ruim. Os bulbos analisados apresentaram tendência ao amarelecimento interno, sem alteração significativa nos teores de SS e de AT. Durante o período refrigerado a pungência dos mesmos aumentou, de pungente para picante, que se manteve estável durante o armazenamento ao ambiente.

Uma fundamentação matemática para processamento digital de sinais intervalares

This work deals with a mathematical fundament for digital signal processing under point view of interval mathematics. Intend treat the open problem of precision and repesention of data in digital systems, with a intertval version of signals representation. Signals processing is a rich and complex area, therefore, this work makes a cutting with focus in systems linear invariant in the time. A vast literature in the area exists, but, some concepts in interval mathematics need to be redefined or to be elaborated for the construction of a solid theory of interval signal processing. We will construct a basic fundaments for signal processing in the interval version, such as basic properties linearity, stability, causality, a version to intervalar of linear systems e its properties. They will be presented interval versions of the convolution and the Z-transform. Will be made analysis of convergences of systems using interval Z-transform , a essentially interval distance, interval complex numbers , application in a interval filter.

Arquitetura inteligente fuzzy para monitoramento de sinais vitais de pacientes: um estudo de caso em UTI

The area of the hospital automation has been the subject a lot of research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality). This thesis presents an architecture for a patient monitoring and alert systems. This architecture is based on intelligent systems techniques and is applied in hospital automation, specifically in the Intensive Care Unit (ICU) for the patient monitoring in hospital environment. The main goal of this architecture is to transform the multiparameter monitor data into useful information, through the knowledge of specialists and normal parameters of vital signs based on fuzzy logic that allows to extract information about the clinical condition of ICU patients and give a pre-diagnosis. Finally, alerts are dispatched to medical professionals in case any abnormality is found during monitoring. After the validation of the architecture, the fuzzy logic inferences were applied to the trainning and validation of an Artificial Neural Network for classification of the cases that were validated a priori with the fuzzy system

Uma fundamentação para sinais e sistemas intervalares

In this work we use Interval Mathematics to establish interval counterparts for the main tools used in digital signal processing. More specifically, the approach developed here is oriented to signals, systems, sampling, quantization, coding and Fourier transforms. A detailed study for some interval arithmetics which handle with complex numbers is provided; they are: complex interval arithmetic (or rectangular), circular complex arithmetic, and interval arithmetic for polar sectors. This lead us to investigate some properties that are relevant for the development of a theory of interval digital signal processing. It is shown that the sets IR and R(C) endowed with any correct arithmetic is not an algebraic field, meaning that those sets do not behave like real and complex numbers. An alternative to the notion of interval complex width is also provided and the Kulisch- Miranker order is used in order to write complex numbers in the interval form enabling operations on endpoints. The use of interval signals and systems is possible thanks to the representation of complex values into floating point systems. That is, if a number x 2 R is not representable in a floating point system F then it is mapped to an interval [x;x], such that x is the largest number in F which is smaller than x and x is the smallest one in F which is greater than x. This interval representation is the starting point for definitions like interval signals and systems which take real or complex values. It provides the extension for notions like: causality, stability, time invariance, homogeneity, additivity and linearity to interval systems. The process of quantization is extended to its interval counterpart. Thereafter the interval versions for: quantization levels, quantization error and encoded signal are provided. It is shown that the interval levels of quantization represent complex quantization levels and the classical quantization error ranges over the interval quantization error. An estimation for the interval quantization error and an interval version for Z-transform (and hence Fourier transform) is provided. Finally, the results of an Matlab implementation is given

Uma solução para geração automática de trilhas em língua brasileira de sinais em conteúdos multimídia

Deaf people have serious difficulties to access information. The support for sign languages is rarely addressed in Information and Communication Technologies (ICT). Furthermore, in scientific literature, there is a lack of works related to machine translation for sign languages in real-time and open-domain scenarios, such as TV. To minimize these problems, in this work, we propose a solution for automatic generation of Brazilian Sign Language (LIBRAS) video tracks into captioned digital multimedia contents. These tracks are generated from a real-time machine translation strategy, which performs the translation from a Brazilian Portuguese subtitle stream (e.g., a movie subtitle or a closed caption stream). Furthermore, the proposed solution is open-domain and has a set of mechanisms that exploit human computation to generate and maintain their linguistic constructions. Some implementations of the proposed solution were developed for digital TV, Web and Digital Cinema platforms, and a set of experiments with deaf users was developed to evaluate the main aspects of the solution. The results showed that the proposed solution is efficient and able to generate and embed LIBRAS tracks in real-time scenarios and is a practical and feasible alternative to reduce barriers of deaf to access information, especially when human interpreters are not available

Proposta de algoritmo para detecção de vazamentos em oleodutos utilizando análise freqüencial de sinais de pressão

Pipeline leak detection is a matter of great interest for companies who transport petroleum and its derivatives, in face of rising exigencies of environmental policies in industrialized and industrializing countries. However, existing technologies are not yet fully consolidated and many studies have been accomplished in order to achieve better levels of sensitivity and reliability for pipeline leak detection in a wide range of flowing conditions. In this sense, this study presents the results obtained from frequency spectrum analysis of pressure signals from pipelines in several flowing conditions like normal flowing, leakages, pump switching, etc. The results show that is possible to distinguish between the frequency spectra of those different flowing conditions, allowing recognition and announce of liquid pipeline leakages from pressure monitoring. Based upon these results, a pipeline leak detection algorithm employing frequency analysis of pressure signals is proposed, along with a methodology for its tuning and calibration. The proposed algorithm and its tuning methodology are evaluated with data obtained from real leakages accomplished in pipelines transferring crude oil and water, in order to evaluate its sensitivity, reliability and applicability to different flowing conditions

Contribuições para a análise de sinais neuronais e biomédicos

Following the new tendency of interdisciplinarity of modern science, a new field called neuroengineering has come to light in the last decades. After 2000, scientific journals and conferences all around the world have been created on this theme. The present work comprises three different subareas related to neuroengineering and electrical engineering: neural stimulation; theoretical and computational neuroscience; and neuronal signal processing; as well as biomedical engineering. The research can be divided in three parts: (i) A new method of neuronal photostimulation was developed based on the use of caged compounds. Using the inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to block neuronal population activity using a laser pulse. The obtained results were evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A mathematical method was created to identify neuronal assemblies. Neuronal assemblies were proposed as the basis of learning by Donald Hebb remain the most accepted theory for neuronal representation of external stimuli. Using the Marcenko-Pastur law of eigenvalue distribution it was possible to detect neuronal assemblies and to compute their activity with high temporal resolution. The application of the method in real electrophysiological data revealed that neurons from the neocortex and hippocampus can be part of the same assembly, and that neurons can participate in multiple assemblies. (iii) A new method of automatic classification of heart beats was developed, which does not rely on a data base for training and is not specialized in specific pathologies. The method is based on Wavelet decomposition and normality measures of random variables. Throughout, the results presented in the three fields of knowledge represent qualification in neural and biomedical engineering

Uma arquitetura para detecção online de transientes em sinais de eletrocardiograma sobre o protocolo IEEE 802.3 com PM-AH

The occurrence of transients in electrocardiogram (ECG) signals indicates an electrical phenomenon outside the heart. Thus, the identification of transients has been the most-used methodology in medical analysis since the invention of the electrocardiograph (device responsible for benchmarking of electrocardiogram signals). There are few papers related to this subject, which compels the creation of an architecture to do the pre-processing of this signal in order to identify transients. This paper proposes a method based on the signal energy of the Hilbert transform of electrocardiogram, being an alternative to methods based on morphology of the signal. This information will determine the creation of frames of the MP-HA protocol responsible for transmitting the ECG signals through an IEEE 802.3 network to a computing device. That, in turn, may perform a process to automatically sort the signal, or to present it to a doctor so that he can do the sorting manually

Sistema inteligente para determinação das direções de chegada de múltiplos sinais em arranjos de antenas

This dissertation presents a new proposal for the Direction of Arrival (DOA) detection problem for more than one signal inciding simultaneously on an antennas array with linear or planar geometry by using intelligent algorithms. The DOA estimator is developed by using techniques of Conventional Beam-forming (CBF), Blind Source Separation (BSS), and the neural estimator MRBF (Modular Structure of Radial Basis Functions). The developed MRBF estimator has its capacity extended due to the interaction with the BSS technique. The BSS makes an estimation of the steering vectors of the multiple plane waves that reach the array in the same frequency, that means, obtains to separate mixed signals without information a priori. The technique developed in this work makes possible to identify the multiple sources directions and to identify and to exclude interference sources

Um sistema inteligente de classificação de sinais de EEG para Interface Cérebro-Computador

The Brain-Computer Interfaces (BCI) have as main purpose to establish a communication path with the central nervous system (CNS) independently from the standard pathway (nervous, muscles), aiming to control a device. The main objective of the current research is to develop an off-line BCI that separates the different EEG patterns resulting from strictly mental tasks performed by an experimental subject, comparing the effectiveness of different signal-preprocessing approaches. We also tested different classification approaches: all versus all, one versus one and a hierarchic classification approach. No preprocessing techniques were found able to improve the system performance. Furthermore, the hierarchic approach proved to be capable to produce results above the expected by literature

O exercício físico melhora a sensibilidade à insulina de ratos expostos à fumaça de cigarro

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

Efeitos do exercício aeróbio no músculo esquelético de ratos expostos à fumaça de cigarro

INTRODUÇÃO: Os fumantes sofrem redução da massa muscular e da resistência à fadiga e possivelmente a prática de atividade física contribua positivamente neste quadro. OBJETIVO: Este estudo teve por objetivo analisar as adaptações da musculatura esquelética frente à interação da prática de atividade física e exposição à fumaça de cigarro. MÉTODOS: 32 ratos machos foram divididos em grupos expostos à fumaça de cigarro, exercitados (G1) e sedentários (G3), e não expostos à fumaça, exercitados (G2) e sedentários (G4). A exposição à fumaça foi realizada mediante combustão de 10 cigarros em uma câmara de inalação durante 30 minutos, duas vezes ao dia, cinco dias por semana, durante 15 dias; o exercício aeróbio foi composto por sessões diárias de 60 minutos de caminhada em esteira, cinco dias por semana. Após o sacrifício, o músculo sóleo foi coletado e seus cortes foram corados pela técnica de HE e submetidos ao método histoquímico NADH-TR. RESULTADOS: O grupo G1 apresentou maior quantidade de alterações musculares, bem como ausência de atividade enzimática, o mesmo ocorrendo no G3, porém com menor intensidade; no G2 foi observado padrão normal para fibras exercitadas, estando as fibras do G4 preservadas. Quanto à morfometria, houve diferença significante para o fator exercício (p = 0,007), enquanto não foram observadas diferenças significantes para o fator exposição à fumaça (p = 0,668) e para a interação exposição à fumaça e exercício (p = 0,077). CONCLUSÃO: A interação entre inalação de fumaça de cigarro e exercício, realizada durante 15 dias em ratos machos Wistar adultos, acentuou as alterações histológicas do músculo sóleo, levando a uma alteração da atividade enzimática e acarretando em aumento do diâmetro das fibras musculares

Medidas e análise estatística em sinais bioelétricos sobre pontos de acupuntura

In the 20th century, the acupuncture has spread on occident as a complementary practice of heath care. This fact has motivated the international scientific community to invest in research that seek to understand why acupuncture works. In this work we compare statistically volt age fluctuation of bioelectric signals caught on the skin at an acupuncture point (IG 4) another nearby on acupuncture point. The acquisition of these signals was performed utilizing an electronic interface with a computer, which was based on an instrumentation amplifier designed with adequate specifications to this end. On the collected signals from a sample of 30 volunteers we have calculated major statistics and submitted them to pairing t-test with significance leveI a = O, 05. We have estimated to bioelectric signals the following parameters: standard deviation, asymmetry and curtose. Moreover, we have calculated the self-correlation function matched by on exponential curve we have observed that the signal decays more rapidly from a non-acupoint then from an acupoint. This fact is an indicative of the existence of information in the acupoint

Representações espectrais de sistemas complexos: aplicações à síntese de superfícies brownianas fracionárias anisotrópicas, filtragem de sinais e identificação de correlações

In this thesis, we study the application of spectral representations to the solution of problems in seismic exploration, the synthesis of fractal surfaces and the identification of correlations between one-dimensional signals. We apply a new approach, called Wavelet Coherency, to the study of stratigraphic correlation in well log signals, as an attempt to identify layers from the same geological formation, showing that the representation in wavelet space, with introduction of scale domain, can facilitate the process of comparing patterns in geophysical signals. We have introduced a new model for the generation of anisotropic fractional brownian surfaces based on curvelet transform, a new multiscale tool which can be seen as a generalization of the wavelet transform to include the direction component in multidimensional spaces. We have tested our model with a modified version of the Directional Average Method (DAM) to evaluate the anisotropy of fractional brownian surfaces. We also used the directional behavior of the curvelets to attack an important problem in seismic exploration: the atenuation of the ground roll, present in seismograms as a result of surface Rayleigh waves. The techniques employed are effective, leading to sparse representation of the signals, and, consequently, to good resolutions