96 resultados para Embutidos


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Pós-graduação em Odontologia Restauradora - ICT

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

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A adesão longitudinal continua a representar um dos maiores desafios da Odontologia moderna. Uma nova proposta para o estabelecimento do equilíbrio da adesão aos tecidos dentários surge, baseada na observação dos resultados obtidos com a tecnologia Grander para revitalização da água. Objetiva-se com o estudo verificar a influência dessa tecnologia nas propriedades físicas de dois sistemas adesivos (convencional e autocondicionante) à partir da medição da tensão superficial e do ângulo de contato; e avaliar a formação e a qualidade da camada híbrida em dentina humana e bovina. A tensão superficial de quatro diferentes líquidos (água, Single Bond- 3M, Primer do Clearfil SE Bond -Kuraray, e Bond do Clearfil SE-Kuraray), foi medida antes e após a modificação pelo procedimento Grander em aparelho goniômetro (Ramé-hart). O ângulo de contato com três substratos distintos (placa de titânio, dentina humana e dentina bovina), foi medido para os quatro líquidos também antes e após a modificação pelo procedimento Grander, também em goniômetro. A formação e qualidade da camada híbrida, foi avaliada em MEV, a partir da confecção de corpos de prova dos substratos humano e bovino, devidamente embutidos, preparados em lixas de variada granulação até a exposição de dentina, submetidos ao procedimento adesivo (SB ou CSEB) normal ou grander modificado, recebendo ao final dupla camada de resina composta Z250-3M, fotopolimerizada por 40s. Após armazenamento em estufa bacteriológica por 24h, os procedimentos para análise ao MEV foram realizados (fixação, desidratação, secagem e metalização). A estatística de Análise de Variância ANOVA e Teste de Tukey 5% revelou que: houve redução estatisticamente significante da tensão superficial para todos os líquidos Grander modificados; houve redução estatisticamente... (Resumo completo, clicar acesso eletrônico abaixo)

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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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Pós-graduação em Odontologia Restauradora - ICT

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Fresh sausages are cured meat products that may be contaminated with Staphylococcus aureus during the manufacturing procedure, which is frequently related with inadequate handling practices. The use of nitrite in meat products has proven efficacy against Clostridium botulinum, and studies indicate that bactericidal action against S. aureus depends on factors that are intrinsic and extrinsic to the product. The objective of the present study was to evaluate the effect of nitrite concentration, and pH on S. aureus and psychrotrophic autochthone microbiota in fresh sausages stored at different times and temperatures. Fresh sausage were produced at nitrite concentrations 50, 150 and 200ppm and contaminated with S. aureus. The sausages were storage at refrigeration (7 and 12 degrees C) and the quantification of S. aureus and psychrotrophic microorganisms was carried out on days 0, 2, 4, 7, and 10. Results showed that nitrite concentrations and the temperatures used had minimal effect on the multiplication of S. amens and psychrotrophic autochthone microbiota. Final counts depended only on the length of storage: at the end of 10 days, counts were statistically similar in the different groups, showing that temperature and nitrite concentrations used did not control microbial growth effectively. It is suggested that the product should be stored below 7 degrees C or at freezing temperatures for greater microbiological stability.

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The aims of this study were to evaluate the effect of root canal filling techniques on root fracture resistance and to analyze, by finite element analysis (FEA), the expansion of the endodontic sealer in two different root canal techniques. Thirty single-rooted human teeth were instrumented with rotary files to a standardized working length of 14 mm. The specimens were embedded in acrylic resin using plastic cylinders as molds, and allocated into 3 groups (n=10): G(lateral) - lateral condensation; G(single-cone) - single cone; G(tagger) - Tagger's hybrid technique. The root canals were prepared to a length of 11 mm with the #3 preparation bur of a tapered glass fiber-reinforced composite post system. All roots received glass fiber posts, which were adhesively cemented and a composite resin core was built. All groups were subjected to a fracture strength test (1 mm/min, 45°). Data were analyzed statistically by one-way ANOVA with a significance level of 5%. FEA was performed using two models: one simulated lateral condensation and Tagger's hybrid technique, and the other one simulated the single-cone technique. The second model was designed with an amount of gutta-percha two times smaller and a sealer layer two times thicker than the first model. The results were analyzed using von Mises stress criteria. One-way ANOVA indicated that the root canal filling technique affected the fracture strength (p=0.004). The G(lateral) and G(tagger) produced similar fracture strength values, while G(single-cone) showed the lowest values. The FEA showed that the single-cone model generated higher stress in the root canal walls. Sealer thickness seems to influence the fracture strength of restored endodontically treated teeth.

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Recent bonding systems have been advocated as multi-purpose bonding agents. The aim of this study was to determine if some of these bonding systems could be associated to composite resins from different manufacturers. This investigation was conducted to test lhe shear bond strength of three bonding systems: Scotchbond Multi-Purpose (3M Dental Products), Optibond Light Cure (Kerr) and Optibond Dual Cure (Kerr), when each of them was associated to lhe composite resins: Z1 00 (3M Dental Products), Prisma - APH (Dentsply) and Herculite XRV (Kerr). Seventy-two flat dentin bonding sites were prepared to 600 grit on human premolars mounted using acrilic resins. The teeth were assigned at random to 9 groups of 8 samples each. A split die with a 3mm diameter was placed over lhe surface of lhe dentin treated with one of lhe adhesive systems, and lhe selected composite resin was inserted and light cured. The split mold was removed and all samples were termocycled and stored in 37ºC water for 24 hours before testing. Shear bond strength was determined using an lnstron Universal testing machine. Some failures were examined under lhe S.E.M. Data was analysed by one-way analysis of variance, that demonstrated a significant difference (p<0,05) in the mean shear bond strength among Optibond Light Cure (15,446 MPa), Scotchbond Multi-Purpose (13,339 MPa) and Optibond Dual Cure (10,019 MPa). These values did not depend on the composite resin used. The association between bonding system/composite resin was statistycally significant (p<0,05) and the best results were obtained when the composite resins Z100 and Herculite were used with the adhesive system Optibond Light Cure, and when the composite resin APH was used with the adhesive system Scotchbond Multi-Purpose

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This article presents the results of research conducted on full-scale models, studying the behavior of steel sleepers under the action of static loads, in vertical, longitudinal and transverse directions. For the research models were run with rails TR-68, fixed with elastic system on seven sleepers each type, separately, embedded in standard ballast with 35 cm height and on the basis of compacted soil with 30 cm thick. For the load tests were constructed using reaction systems of vertical and horizontal forces with the objective of applying the requests. The system of readings and data acquisition was fully computerized, obtaining in real time the values of forces and displacements. The results were compared with those installed in the same way with sleepers of wood, mono-block and bi-block prestressed concrete. The analyzed results provided unprecedented parameters in Brazil and of great importance for the design of modern railway permanent way, using steel sleepers.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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A região Amazônica, detentora de grande potencial hídrico, tem atraído indústrias que promovem uso intensivo de água, por isso, existe uma emergência por instrumentos que administrem essa tendência. Neste trabalho foi diagnosticado o nível de racionalização do uso da água pelo setor industrial de produção de bebidas no estado do Pará, assim como as causas do comportamento do setor. As variáveis dependentes (de comportamento) foram classificadas de acordo com quatro dimensões (gestão ambiental, manejo da água, manejo dos efluentes e medidas avançadas de racionalização) que compõe o nível de racionalização da gestão industrial hídrica. As variáveis independentes foram associadas ao: porte, ramo, tipo de embalagem utilizada, disponibilidade hídrica e valor econômico da água. Os dados levantados mostraram que a produção de bebidas tem uma grande pegada hídrica operacional total (acima de) 15.250 m3/dia, com as pequenas empresas apresentando o maior consumo relativo por unidade produzida (maior que 7 L de água/L de bebida). O setor como um todo apresenta baixo nível de racionalização do uso da água, a dimensão mais eficiente é a de gerenciamento da água; entretanto algumas medidas avançadas podem ser visualizadas, especialmente a recirculação da água em torres de resfriamento. A análise das variáveis de estudo demonstra que o nível de racionalização é dependente diretamente do ramo e do porte da empresa. Conclui-se que o consumo tende ao desperdício; em resposta a este quadro, devem ser priorizadas políticas públicas voltadas para internalização dos custos ambientais embutidos no processo.

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The design of a network is a solution to several engineering and science problems. Several network design problems are known to be NP-hard, and population-based metaheuristics like evolutionary algorithms (EAs) have been largely investigated for such problems. Such optimization methods simultaneously generate a large number of potential solutions to investigate the search space in breadth and, consequently, to avoid local optima. Obtaining a potential solution usually involves the construction and maintenance of several spanning trees, or more generally, spanning forests. To efficiently explore the search space, special data structures have been developed to provide operations that manipulate a set of spanning trees (population). For a tree with n nodes, the most efficient data structures available in the literature require time O(n) to generate a new spanning tree that modifies an existing one and to store the new solution. We propose a new data structure, called node-depth-degree representation (NDDR), and we demonstrate that using this encoding, generating a new spanning forest requires average time O(root n). Experiments with an EA based on NDDR applied to large-scale instances of the degree-constrained minimum spanning tree problem have shown that the implementation adds small constants and lower order terms to the theoretical bound.

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Recently, researches have shown that the performance of metaheuristics can be affected by population initialization. Opposition-based Differential Evolution (ODE), Quasi-Oppositional Differential Evolution (QODE), and Uniform-Quasi-Opposition Differential Evolution (UQODE) are three state-of-the-art methods that improve the performance of the Differential Evolution algorithm based on population initialization and different search strategies. In a different approach to achieve similar results, this paper presents a technique to discover promising regions in a continuous search-space of an optimization problem. Using machine-learning techniques, the algorithm named Smart Sampling (SS) finds regions with high possibility of containing a global optimum. Next, a metaheuristic can be initialized inside each region to find that optimum. SS and DE were combined (originating the SSDE algorithm) to evaluate our approach, and experiments were conducted in the same set of benchmark functions used by ODE, QODE and UQODE authors. Results have shown that the total number of function evaluations required by DE to reach the global optimum can be significantly reduced and that the success rate improves if SS is employed first. Such results are also in consonance with results from the literature, stating the importance of an adequate starting population. Moreover, SS presents better efficacy to find initial populations of superior quality when compared to the other three algorithms that employ oppositional learning. Finally and most important, the SS performance in finding promising regions is independent of the employed metaheuristic with which SS is combined, making SS suitable to improve the performance of a large variety of optimization techniques. (C) 2012 Elsevier Inc. All rights reserved.

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We propose simple heuristics for the assembly line worker assignment and balancing problem. This problem typically occurs in assembly lines in sheltered work centers for the disabled. Different from the well-known simple assembly line balancing problem, the task execution times vary according to the assigned worker. We develop a constructive heuristic framework based on task and worker priority rules defining the order in which the tasks and workers should be assigned to the workstations. We present a number of such rules and compare their performance across three possible uses: as a stand-alone method, as an initial solution generator for meta-heuristics, and as a decoder for a hybrid genetic algorithm. Our results show that the heuristics are fast, they obtain good results as a stand-alone method and are efficient when used as a initial solution generator or as a solution decoder within more elaborate approaches.