999 resultados para sinais e sintomas
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Com o objetivo de avaliar os sintomas de intoxicação causados pela aplicação de glyphosate, foi montado um estudo composto por quatro ensaios com aplicações de glyphosate (360 g e.a. L-1) em eucalipto. em todos os ensaios, mudas foram transplantadas em vasos de 5,0 L. Nos ensaios 1 e 2, foram aplicados volumes crescentes de solução de glyphosate no caule do eucalipto. No ensaio 1, a solução de 3% (v/v) foi aplicada nos volumes de 0, 1, 5, 10, 20, 40, 80 e 160 µL de calda por planta e, no segundo, a solução de glyphosate a 2% (v/v) foi aplicada nos volumes de 0, 1, 5, 15, 30, 60, 90, 120 e 150 µL de calda por planta. Nos ensaios 3 e 4, foram feitas aplicações de glyphosate sobre as plantas de eucalipto. No ensaio 3, as doses foram de 0, 7,2.10-7, 7,2.10-6, 7,2.10-5, 7,2.10-4, 7,2.10-3, 7,2.10-2, 7,2.10-1, 7,2, 72, 360 e 720 g e.a. de glyphosate ha-1 e, no ensaio 4, de 0, 9, 18, 36, 72, 144, 288, 432, 576, 720, 1.080, 1.440 e 2.160 g e.a. de glyphosate ha-1. Nos quatro ensaios foi utilizado o delineamento DIC, com três repetições. Nas plantas, foram avaliadas a altura, a área foliar e a matéria seca de caule e folhas. Os resultados obtidos foram submetidos a análises de regressão. Quando aplicadas no caule, doses de 40,78 e 51,41 µL de calda por planta de glyphosate a 3 e 2% (v/v), respectivamente, nos ensaios 1 e 2, foram suficientes para redução média de 50% das características estudadas. Nas aplicações sobre as folhas, houve maior sensibilidade das plantas mais desenvolvidas. Para redução média de 50% nas variáveis analisadas, foram necessárias doses de 277,4 e 143,3 g e.a. de glyphosate ha-1 nos ensaios 3 e 4, respectivamente.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Estudou-se a relação entre a presença de sintomas da clorose variegada dos citros, doença causada pela bactéria Xilella fastidiosa (Wells), e a ação do inseticida aldicarbe e do fungicida fosetyl-AL sobre a cochonilha pardinha, Selenaspidus articulatus (Morgan) em plantas de citros. O ensaio foi realizado em pomar de laranja variedade Valência com cinco anos de idade, As pulverizações de fosetyl-AL foram realizadas quatro vezes com intervalo de três meses, e o aldicarbe foi aplicado no solo uma única vez. A ocorrência de S. articulatus foi avaliada quinzenalmente. Observou-se que: a) A clorose variegada dos citros (CVC) não interferiu na ação de aldicarbe, aplicado no solo, na dose utilizada sobre S. articulatus; b) A dose de aldicarbe empregada para o controle da referida praga em plantas com CVC pode ser a mesma indicada em plantas sem a doença; c) O poder residual de aldicarbe mostrou-se o mesmo em plantas com e sem sintomas de CVC; d) A associação de aldicarbe e fosetyl-AL não interferiu na ação do primeiro sobre a praga.
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Dois experimentos foram conduzidos em pomares de goiabeira 'Paluma', nos municípios de Monte Alto e Vista Alegre do Alto-SP. No primeiro experimento, avaliou-se o efeito de formulações de fungicidas cúpricos, aplicados isoladamente e em mistura com mancozeb, quanto ao efeito fitotóxico em botões florais e em frutos de goiabeira, em três estádios de desenvolvimento. No segundo experimento, foram avaliados os mesmos fungicidas usados no primeiro experimento, sendo, porém, acrescido do tratamento constituído por tebuconazole, cujo alvo foi sua eficiência no controle da ferrugem. No primeiro experimento, verificou-se que nenhum dos fungicidas testados causou abortamento de flores ou outros tipos de sintomas de fitotoxicidade em frutos de tamanho inferior a 15 mm de diâmetro. Contrariamente, estes fungicidas, quando aplicados isoladamente, em frutos entre 25 a 35 mm de diâmetro, causaram sintomas severos de fitotoxicidade. em frutos de tamanho superior a 40 mm de diâmetro, estes fungicidas causaram sintomas de fitotoxicidade de níveis leves a moderados. A combinação de fungicidas cúpricos com mancozeb causou sintomas de fitotoxicidade em níveis leves, enquanto com mancozeb isoladamente não foram verificados sintomas de fitotoxicidade. No segundo experimento, verificou-se que os fungicidas cúpricos, aplicados isoladamente, foram eficientes no controle da ferrugem da goiabeira, apresentando eficiência comparável ao tratamento-padrão representado por tebuconazole. Esta eficiência foi também observada mediante o emprego da combinação mancozeb e óxido cuproso ou hidróxido de cobre.
Indução da expressão precoce de sintomas de Guignardia citricarpa em frutos de laranjeira 'pêra-rio'
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O presente trabalho teve por objetivo avaliar a influência de diferentes concentrações de ethephon na expressão precoce de sintomas de Guignardia citricarpa em frutos de laranjeira 'Pêra-Rio'. Para tal, frutos assintomáticos e isentos de aplicações com fungicidas, com 20 e 28 semanas após a queda de pétalas, foram coletados em área de comprovada existência da doença, no município de Conchal-SP e levados ao Laboratório de Fitopatologia da FCAV/UNESP, em Jaboticabal-SP, onde foram tratados com soluções nas seguintes doses de ethephon: i) 1,57 g L-1; ii) 2,10 g L-1; iii) 2,42 g L-1; iv) Testemunha (água). Todas acrescidas de imazalil a 0,25 g L-1, para prevenir podridões de pós-colheita. Após os tratamentos, os frutos foram mantidos em câmara incubadora para B.O.D., calibrada à temperatura de 25ºC ±1ºC, por 15 dias. Posteriormente, os frutos foram submetidos a quatro avaliações, em intervalos semanais, sendo atribuídas notas que variaram de zero (ausência de sintomas) a 6 (sintomas severos). Os dados da severidade da doença observados nos frutos colhidos prematuramente e submetidos aos diferentes tratamentos com ethephon foram comparados aos observados em frutos ensacados e não ensacados, mantidos no campo até a maturação natural. Constatou-se maior equivalência de sintomas nos frutos com idade entre 20 e 28 semanas, quando estes foram tratados com 2,10 g L-1 de ethephon e avaliados entre 28 e 35 dias. Concluiu-se que o emprego de ethephon, nestas condições, viabilizou a expressão precoce dos sintomas da mancha preta em frutos contendo infecções quiescentes de G. citricarpa, com antecedência de, pelo menos, 105 dias antes da colheita. Tal resultado constitui-se, portanto, em alternativa de grande aplicabilidade na detecção precoce de sintomas de mancha preta.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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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.
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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
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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
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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
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O agente causal da ferrugem da teca (Olivea neotectonae) vem atacando as plantações de diversos países que possuem plantios naturais ou comerciais. Ocasiona desfolha intensa das plantas contribuindo para a redução da área fotossintética e consequentemente, a produção. Especialmente associado a viveiros, apresenta maior severidade em plantas com menos de 10 anos de idade. Como sintomas da infecção são observadas manchas marrons e como sinais, soros pulverulentos de cor amarelo alaranjado. em maio de 2009, estes sintomas e sinais foram observados em folhas de teca, provenientes do norte do estado do Mato Grosso, Maranhão, Tocantins e da região centro-oeste do estado São Paulo, recebidos pelo laboratório de Patologia Florestal da FCA UNESP-Botucatu. O objetivo do presente trabalho é fazer o registro dessas constatações nos estados brasileiros e uma breve revisão sobre a denominação correta do patógeno.
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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
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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
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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