919 resultados para Extração Lipídica


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This study aimed to analyze the phenomenon of abdication of monitoring/treatment of crack users in a CAPS AD in Campina Grande-PB. That s an exploratory , description approach ,whose theoretical focus was historical-dialect of public politics on alcohol and drugs. The information collected was realized by using the technique of semi-structured interviews, combined with the crack users registered in CAPS AD in Campina Grande between 2007 and 2011.The material collected was subjected to thematic analysis method, obtaining the extraction of the following categories and subcategories of analysis: CATEGORY 1: Factors of abdication of monitoring/treatment in CAPS AD in Campina Grande PB with subcategory 1.1. Abdication on their own , 1.2. To take work/employment, 1.3 . Search for more intensive treatment , 1.4. Due to relapse; CATEGORY 2 : Treatment/monitoring in CAPS AD to the subcategory, 2.1. The dependence of crack and family support as reasons that led to frequent CAPS AD. CATEGORY 3: Living with crack addiction without treatment/monitoring in CAPS AD with the subcategory, 3.1. Religiosity as a therapeutic tool .The results showed a distance between priority for community treatment and the reality where there is lack of information about this kind of treatment and the admission as a solution. The discourse about the abdication of treatment of crack users make reference to the importance of family support, to the influence for the phenomenon of relapse and the affection to religious conceptions. Although the subjects recognize the qualifications of CAPS AD treatment, they try by themselves or by family influence, another ways of hospitalization. This leads us to conclude that it is necessary reflection and assessment of the work of CAPS AD. Counting on the social changes and the need of answers that the phenomenon requires

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Para avaliar um esquema de fracionamento de zinco em Argissolo arenoso e suas relações com a disponibilidade de Zn para Cynodon spp cv. Tifton-85, realizou-se um experimento em casa de vegetação, em esquema fatorial 5 x 2 x 2 (5 doses de Zn, 2 doses de calcário e 2 épocas de amostragem), em delineamento inteiramente casualizado, com três repetições. As doses de Zn foram de 0; 2,5; 5,0; 7,5 e 10 mg dm-3; metade dos vasos não recebeu calagem (V = 42 %) e metade recebeu a calagem com vistas em elevar o índice de saturação por bases a 70 %. As épocas de amostragem foram 30 e 150 dias após aplicação de Zn, respectivamente, antes do plantio e depois do 3º corte de Tifton-85. A aplicação de Zn resultou em aumento significativo do elemento nas frações: trocável, óxidos de Mn, matéria orgânica e óxidos de Fe. O Zn ligado aos óxidos de Mn aumentou significativamente com a calagem. Após 150 dias de experimentação, houve diminuição do Zn trocável, ligado aos óxidos de Mn, à matéria orgânica e aos óxidos de Fe, e aumento na fração residual. A distribuição de Zn nas frações do solo foi: residual > óxidos de Fe > óxidos de Mn > trocável > matéria orgânica. As relações entre as características estudadas mostraram que tanto o Zn-DTPA quanto o Zn trocável, ligado à M.O. e aos óxidos de Mn, foram eficientes para representar o Zn absorvido pela planta.

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Instalou-se sobre um latossolo vermelho-escuro textura média, um experimento cujo objetivo foi avaliar a influência de modos e épocas de aplicação de gesso e de calcário sobre algumas características nutricionais e tecnológicas da cultura do feijoeiro irrigado. Utilizou-se no experimento o delineamento em blocos casualizados em esquema fatorial (4x3)+2 com quatro repetições, correspondendo a 4 modos de aplicação de gesso e/ou calcário, 3 doses de gesso e 2 tratamentos adicionais. Os resultados mostraram que: o uso do gesso proporcionou maiores teores de Ca nos grãos e consequentemente maior tempo para o seu cozimento. A associação gesso e calcário propiciou aumento no teor de S das folhas e também no peso de 100 grãos, quando comparado à utilização de apenas gesso. A relação de hidratação diminuiu com o aumento das doses de gesso quando utilizou-se os modos de aplicação M1 (gesso aplicado no solo 45 dias antes da semeadura) e M2 (gesso e calcário aplicados conjuntamente aos 45 dias antes da semeadura).

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O objetivo deste trabalho foi avaliar o efeito de fontes e níveis de tanino em rações para tilápia-do-nilo (Oreochromis niloticus), durante a engorda, sobre o desempenho produtivo e deposição lipídica corporal. Foram utilizados 342 peixes, distribuídos em 18 tanques. As rações foram preparadas com milho, variedades de sorgo com baixo e alto teor de tanino, e com ácido tânico a 0,08, 0,34, e 0,60%. Ganho de peso, conversão alimentar aparente e taxa de eficiência protéica não foram influenciados pelos tratamentos. A maior deposição lipídica corporal foi observada nas dietas com ácido tânico (14,39%); a dieta de sorgo com alto teor de tanino resultou em carcaças mais magras (12,01%) do que as de sorgo com baixo teor de tanino (13,31%). Dietas com sorgo proporcionaram menores teores de gordura visceral. A presença de tanino nas rações não prejudicou o desempenho produtivo da tilápia-do-nilo.

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Among the sugar cane potential uses include those related to the extraction of products and byproducts from the stalk. The sugarcane flowering causes morphological and physiological changes in plant and in the presence of pith, promotes changes in the stalk, reducing the raw matter quality. Most of the areas planted with sugarcane in the South-Central region of Brazil are subject to flowering, however, this feature varies depending on the variety used. There are different pith diameters related to the flowered or induced stalks, and damage to the raw matter quality are still controversial. The objective of this experiment was to evaluate the response of cane sugar varieties in relation to the flowering, pith and chemical and technological parameters, and their relationship with the pith degree. The experimental design was a completely randomized with sis treatments (varieties: IAC91-1099-4004IAC94, IAC95-5000, SP81-3250, CTC and RB855536 15) and three replications. Were evaluated the flowering, based on morphological changes in the apical bud, the pith intensity by the percentage determination of internodes occupied by whitish and spongy tissues and and pith diameter, by measuring the diameters of the changes in the internodes, expressed in percentage, in addition to chemical (juice total acidity) and technological (fiber, reducing sugars and sugar cane Pol) parameters. The flowering occurrences were accompanied by higher pith intensity. The flowering induction contributed to the lower raw matter quality, although the pith volume was lower. The pith and flowering did not affected the sugarcane sucrose content. Increases in levels of fiber, sugars and acidity were observed only in cases where the diameter of the area spongeous exceeded 50% of stalk diameter. The variety that had the best and worse response was RB855536 and CTC 15, respectively.

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As maiores limitações para o uso do lodo de esgoto em áreas agrícolas são os riscos de contaminação do solo com metais pesados e sua possível transferência para a cadeia alimentar. Objetivou-se, com este estudo, avaliar os teores de Cd, Cr, Pb e Zn no solo, utilizando-se dois métodos de extração (HNO3 + H2O2 + HCl e HClO4 + HF), o acúmulo destes elementos em plantas de milho cultivadas em Latossolo Vermelho eutroférrico no nono ano de aplicação de lodo de esgoto, bem como seus efeitos na produção de matéria seca e na produtividade de grãos. O experimento foi instalado em condições de campo em Jaboticabal-SP, no delineamento em blocos casualizados, com quatro tratamentos e cinco repetições. Os tratamentos corresponderam a doses acumuladas por nove anos consecutivos de lodo de esgoto (45,0; 90,0 e 127,5 t ha-1, base seca) e um tratamento testemunha que recebeu fertilização mineral com base na análise de solo. O lodo de esgoto foi aplicado manualmente e incorporado ao solo com grade a 0,1 m de profundidade antes da semeadura do milho. Os teores médios de Cd no solo não variaram em função das doses de lodo e dos métodos de extração. Por outro lado, os teores médios de Cr, Pb e Zn no solo obtidos pela digestão com HClO4 + HF foram de 72,4; 31,8 e 62,3 %, respectivamente, superiores àqueles encontrados pela digestão que empregou HNO3 + H2O2 + HCl. Contudo, quando se avaliou apenas o efeito das doses de lodo no solo, em ambos os métodos de extração, verificou-se diferença entre os tratamentos apenas para a concentração de Zn no solo. Exceto o Cd, que não foi detectado, de modo geral, os teores e os acúmulos de Cr, Pb e Zn nas partes das plantas de milho aumentaram com as aplicações de lodo de esgoto. Os teores de Cr, Pb e Zn nos grãos, quando detectados, permaneceram abaixo dos limites máximos estabelecidos para o consumo humano conforme a legislação brasileira. A adição de lodo de esgoto e a fertilização mineral, por longo período, apresentaram efeitos semelhantes na produção de matéria seca e na produtividade de grãos de milho.

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Avaliaram-se os efeitos da temperatura do processo de extrusão sobre as características das frações nitrogenadas e dos carboidratos, do extrato etéreo, da digestibilidade in vitro da proteína e do fator antitríptico da soja e do milho. O experimento foi conduzido em delineamento experimental inteiramente casualizado, com três repetições, em esquema fatorial 5 × 4, composto de cinco combinações de soja e milho (100% soja; 75% soja e 25% milho; 50% soja e 50% milho; 25% soja e 75% milho; 100% milho, com base na matéria seca) e quatro temperaturas de extrusão (sem extrusão; e extrusão a 80, 100 ou 120ºC). O processo de extrusão promoveu aumento na fração lipídica e redução nos teores de fibra em detergente neutro (FDN) e fibra em detergente ácido (FDA), que variaram de acordo com a proporção de milho e soja e com a temperatura de processamento, conseqüentemente, os teores de proteína insolúvel em detergente neutro (PIDN) e proteína insolúvel em detergente ácido (PIDA) sofreram redução. A mesma tendência foi observada nos teores de lignina, que foram menores nas misturas com até 50% de soja, processadas a 120ºC. A extrusão, independentemente da temperatura, promoveu aumento da fração A dos carboidratos, tanto no milho como na soja. Nas frações B2 e C diminuíram com a maior participação de soja na mistura. A extrusão reduziu as frações nitrogenadas A, B1 e C, fato observado nas misturas contendo soja. O processamento promoveu aumento da fração B2, exceto no milho a 100%. Alterações menos significativas foram observadas na fração B3. O processamento por extrusão não altera a digestibilidade in vitro da proteína de milho e soja, no entanto, reduz a quantidade de inibidor de tripsina quando as misturas desses grãos são processadas a 120ºC.

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Analisaram-se as qualidades física, química e sensorial, bem como o perfil de ácidos graxos da carne de fêmeas suínas alimentadas com dietas com concentrações crescentes de ractopamina. Foram utilizadas 468 fêmeas, com peso inicial de 84,77±7,20kg, alojadas em 36 baias e alimentadas com dietas contendo 0, 5, 10 ou 15mg de ractopamina/kg. Após o período de 28 dias, dois animais de cada baia, depois de passarem por 15 horas de jejum sólido, foram abatidos. Uma amostra do músculo Longissimus da meia carcaça direita foi colhida para se avaliar as características de qualidade da carne. Não houve efeito (P>0,05) da adição de ractopamina às dietas sobre o pH, capacidade de retenção de água, força de cisalhamento, cor e oxidação lipídica da carne. Observou-se efeito quadrático (P<0,05) para perdas por cocção da carne, e não foi observada diferença (P>0,05) na análise sensorial da carne. Também não foi observado efeito (P>0,05) sobre a composição em ácidos graxos e sobre a relação entre ácidos graxos saturados:insaturados. A adição de até 15mg de ractopamina/kg de dieta não altera as características físicas, sensoriais e o perfil de ácidos graxos da carne de fêmeas suínas abatidas com 110kg de peso.

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As a contemporary tendency, it is been evidenced that the environmental changes theme, already admitted as a concernment to international economical and political reality, is also gaining repercussion on industrial and business sector. Firms are implementing actions on trial to minimize their own greenhouse gases (GHG) emissions impacts. However, the great majority of those actions of Corporative Social-Environmental Responsibility (CSR) are referred only to direct emissions of the main production systems. Direct emissions are those derived of an isolate process, without considering the upstream and downstream processes emissions, which respond for the majority of emissions originated because of respective firm‟s production system existence. Because the greenhouse effect occurs globally and the GHG emissions contribute to the environmental changes independently of their origin, it must be taken into account the whole productive life cycle of products and systems, since the energy invested on resources extraction and necessary materials to the final disposal. To do so, it must be investigated all relevant steps of a product/production system life cycle, tracking all activities which emit greenhouse gases, directly or indirectly. This amount of emissions consists in the firm‟s Carbon Footprint. This research purpose is to defend the Carbon Footprint relevance and its adoption viability to be used as an Environmental Indicator on measurement/assessment of CSR. It has been realized a study case on Petrobras‟s seat unity at Natal-Brazil, assessing part of its Carbon Footprint. It has been used the software GEMIS 4.6 to do the emissions quantifying. The items measured were the direct emissions of the own unity vehicles and indirect emissions of offset paper (A4), energy and disposable plastic cups consumed. To 2009, these emissions were 3.811,94 tCO2eq. We may conclude that Carbon Footprint quantification is indispensable to the knowledge of real emissions caused by a productive process existence, must serving as basis to CSR decisions about the environmental changes reversion challenge

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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

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The human voice is an important communication tool and any disorder of the voice can have profound implications for social and professional life of an individual. Techniques of digital signal processing have been used by acoustic analysis of vocal disorders caused by pathologies in the larynx, due to its simplicity and noninvasive nature. This work deals with the acoustic analysis of voice signals affected by pathologies in the larynx, specifically, edema, and nodules on the vocal folds. The purpose of this work is to develop a classification system of voices to help pre-diagnosis of pathologies in the larynx, as well as monitoring pharmacological treatments and after surgery. Linear Prediction Coefficients (LPC), Mel Frequency cepstral coefficients (MFCC) and the coefficients obtained through the Wavelet Packet Transform (WPT) are applied to extract relevant characteristics of the voice signal. For the classification task is used the Support Vector Machine (SVM), which aims to build optimal hyperplanes that maximize the margin of separation between the classes involved. The hyperplane generated is determined by the support vectors, which are subsets of points in these classes. According to the database used in this work, the results showed a good performance, with a hit rate of 98.46% for classification of normal and pathological voices in general, and 98.75% in the classification of diseases together: edema and nodules

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With the rapid growth of databases of various types (text, multimedia, etc..), There exist a need to propose methods for ordering, access and retrieve data in a simple and fast way. The images databases, in addition to these needs, require a representation of the images so that the semantic content characteristics are considered. Accordingly, several proposals such as the textual annotations based retrieval has been made. In the annotations approach, the recovery is based on the comparison between the textual description that a user can make of images and descriptions of the images stored in database. Among its drawbacks, it is noted that the textual description is very dependent on the observer, in addition to the computational effort required to describe all the images in database. Another approach is the content based image retrieval - CBIR, where each image is represented by low-level features such as: color, shape, texture, etc. In this sense, the results in the area of CBIR has been very promising. However, the representation of the images semantic by low-level features is an open problem. New algorithms for the extraction of features as well as new methods of indexing have been proposed in the literature. However, these algorithms become increasingly complex. So, doing an analysis, it is natural to ask whether there is a relationship between semantics and low-level features extracted in an image? and if there is a relationship, which descriptors better represent the semantic? which leads us to a new question: how to use descriptors to represent the content of the images?. The work presented in this thesis, proposes a method to analyze the relationship between low-level descriptors and semantics in an attempt to answer the questions before. Still, it was observed that there are three possibilities of indexing images: Using composed characteristic vectors, using parallel and independent index structures (for each descriptor or set of them) and using characteristic vectors sorted in sequential order. Thus, the first two forms have been widely studied and applied in literature, but there were no records of the third way has even been explored. So this thesis also proposes to index using a sequential structure of descriptors and also the order of these descriptors should be based on the relationship that exists between each descriptor and semantics of the users. Finally, the proposed index in this thesis revealed better than the traditional approachs and yet, was showed experimentally that the order in this sequence is important and there is a direct relationship between this order and the relationship of low-level descriptors with the semantics of the users

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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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Breast cancer, despite being one of the leading causes of death among women worldwide is a disease that can be cured if diagnosed early. One of the main techniques used in the detection of breast cancer is the Fine Needle Aspirate FNA (aspiration puncture by thin needle) which, depending on the clinical case, requires the analysis of several medical specialists for the diagnosis development. However, such diagnosis and second opinions have been hampered by geographical dispersion of physicians and/or the difficulty in reconciling time to undertake work together. Within this reality, this PhD thesis uses computational intelligence in medical decision-making support for remote diagnosis. For that purpose, it presents a fuzzy method to assist the diagnosis of breast cancer, able to process and sort data extracted from breast tissue obtained by FNA. This method is integrated into a virtual environment for collaborative remote diagnosis, whose model was developed providing for the incorporation of prerequisite Modules for Pre Diagnosis to support medical decision. On the fuzzy Method Development, the process of knowledge acquisition was carried out by extraction and analysis of numerical data in gold standard data base and by interviews and discussions with medical experts. The method has been tested and validated with real cases and, according to the sensitivity and specificity achieved (correct diagnosis of tumors, malignant and benign respectively), the results obtained were satisfactory, considering the opinions of doctors and the quality standards for diagnosis of breast cancer and comparing them with other studies involving breast cancer diagnosis by FNA.