967 resultados para Jatos no CMS


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The aim of this study is to evaluate the effi ciency of oregano, sage, moringa and rosemary as natural antioxidants and propyl gallate as artifi cial antioxidant used in “stuffed food” made with CMS of tilapia (minced fi sh) and stored frozen for 120 days. Protein, fat, moisture and ashes determination, microbiological analysis and sensory evaluations were conducted in the beginning and the end of storage period. TBARS, BNVT, pH and psychrotrophic microorganism count were determined periodically. The antioxidants interfered in pH (6.17 and 6.55) and TBARS values during 120 days under freezing (-18o C). The lowest TBA values were found for oregano (0.158 mg de MDA. kg-1) and sage (0.186 mg de MDA.kg-1). The stuffed food made with CMS of tilapia, without antioxidant, had the most oxidation, and sage and moringa were not good source of antioxidant. BNVT values (11.41 – 12.35 mgN.100g-1) were not altered. The lowest pH value was found for the product with sage (6.20), but similar to the moringa and propyl gallate, while oregano and rosemary showed the highest values (6.63 and 6.29), at 5 days of storage. Microbiological analyses were in accordance with Brazilian legislation. Sensory evaluation indicated that the panelists preferred the formulations made with oregano and propyl gallate. The results showed that it is feasible to elaborate stuffed food made with CMS of tilapia as an alternative for the fi shery´s consumption, and sage was the most effi cient natural antioxidant among those tested in this study.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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This work describes the development of an electro-mechanical micro-discharges device operating at ambient condition of pressure and temperature, capable to produce plasma jets for surface finishing. The discharges are produced through a needle shape electrode hollow cathode type by which flows the helium gas. The voltage applied on the electrode is provided for an AC/AC switching voltage converter of full-bridge topology. The converter is energized by a power line of 110/220 VAC, 60 Hz and gives a 1000 V peak-to-peak from 5 kHz to 40 kHz square waveform output. The output frequency is defined by a control signal provided by an external signal generator. The equipment setup includes output acquisition of voltage and current and a photo-detector for photo-electrical measurements, which allows an optical characterization of the plasma jet

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Hundreds of Terabytes of CMS (Compact Muon Solenoid) data are being accumulated for storage day by day at the University of Nebraska-Lincoln, which is one of the eight US CMS Tier-2 sites. Managing this data includes retaining useful CMS data sets and clearing storage space for newly arriving data by deleting less useful data sets. This is an important task that is currently being done manually and it requires a large amount of time. The overall objective of this study was to develop a methodology to help identify the data sets to be deleted when there is a requirement for storage space. CMS data is stored using HDFS (Hadoop Distributed File System). HDFS logs give information regarding file access operations. Hadoop MapReduce was used to feed information in these logs to Support Vector Machines (SVMs), a machine learning algorithm applicable to classification and regression which is used in this Thesis to develop a classifier. Time elapsed in data set classification by this method is dependent on the size of the input HDFS log file since the algorithmic complexities of Hadoop MapReduce algorithms here are O(n). The SVM methodology produces a list of data sets for deletion along with their respective sizes. This methodology was also compared with a heuristic called Retention Cost which was calculated using size of the data set and the time since its last access to help decide how useful a data set is. Accuracies of both were compared by calculating the percentage of data sets predicted for deletion which were accessed at a later instance of time. Our methodology using SVMs proved to be more accurate than using the Retention Cost heuristic. This methodology could be used to solve similar problems involving other large data sets.

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This work describes the development of an electro-mechanical micro-discharges device operating at ambient condition of pressure and temperature, capable to produce plasma jets for surface finishing. The discharges are produced through a needle shape electrode hollow cathode type by which flows the helium gas. The voltage applied on the electrode is provided for an AC/AC switching voltage converter of full-bridge topology. The converter is energized by a power line of 110/220 VAC, 60 Hz and gives a 1000 V peak-to-peak from 5 kHz to 40 kHz square waveform output. The output frequency is defined by a control signal provided by an external signal generator. The equipment setup includes output acquisition of voltage and current and a photo-detector for photo-electrical measurements, which allows an optical characterization of the plasma jet