984 resultados para Micro-simulation


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Considerando a ampla variabilidade genética de cubiu (Solanum sessiliflorum Dunal), quantificaram-se os macro e micro-nutrientes, objetivando a ampliação da tabela de composição química de alimentos típicos da região amazônica. Os frutos provenientes da Estação Experimental de Hortaliças Alejo von der Pahlen (EEH) do Instituto Nacional de Pesquisas da Amazônia (INPA), localizados no km 14 da Rodovia AM 010 em Manaus, AM, foram processados no Laboratório de Alimentos e Nutrição do INPA. Avaliaram-se oito etnovariedades de cubiu identificados como: 2 I, 3 I, 6, 7, 12, 14, 17, 29 I e III em estádio de maturação comercial. Os teores de elementos minerais foram quantificados pela técnica de Ativação por Nêutrons Instrumental e a fibra alimentar pelo método enzímico-gravimétrico. Os resultados demonstram ser o cubiu um fruto com baixo conteúdo energético (média de 33 kcal), com conteúdo de fibra alimentar total na ordem de 1,6%. Em relação aos macros elementos minerais, a etnovariedade 6, apresentou a maior concentração em potássio (513,5±3,1mg), cálcio (18,9±0,6mg) e a etnovariedade 2 I em Fe (564,4±58,1µg) e Cr (99,3±8,3µg). A menor concentração foi constatada na etnovariedade 12 para os elementos K (229,0±4,5mg), Na (53,7±5,5µg) e Zn (89,3±4,7µg). Apesar das variações em relação as diferentes etno variedades e conseqüentemente concentrações em elementos minerais, o cubiu, pode estar contribuindo para atingir as recomendações desses nutrientes.

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There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

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This paper deals with a computing simulation for an offshore wind energy system taking into account the influence of the marine waves action throughout the floating platform. The wind energy system has a variable-speed turbine equipped with a permanent magnet synchronous generator and a full-power five level converter, injecting energy into the electric grid through a high voltage alternate current link. A reduction on the unbalance of the voltage in the DC-link capacitors of the five-level converter is proposed by a strategic selection of the output voltage vectors. The model for the drive train of the wind energy system is a two mass model, including the dynamics of the floating platform. A case study is presented and the assessment of the quality of the energy injected into the electric grid is discussed.

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A new integrated mathematical model for the simulation of an offshore wind system having a rectifier input voltage malfunction at one phase is presented in this paper. The mathematical model considers an offshore variable-speed wind turbine on a floating platform, equipped with a permanent magnet synchronous generator using full-power three-level converter to inject energy into the electric network, through a high voltage direct current transmission submarine cable. The model for the drive train is a discrete three mass, incorporating the dynamic of the moving surface. A case study is presented to access conclusion about the malfunction.

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Neste trabalho, a espécie Piper hispidinervum (pimenta longa), endêmica do estado do Acre, foi cultivada na região do Vale do Itajaí - SC, e sua adaptação foi avaliada em relação à composição química do óleo essencial obtido pelos processos de hidrodestilação convencional e por micro-ondas. O safrol foi identificado como o constituinte majoritário do óleo essencial desta espécie, o qual foi empregado como parâmetro de avaliação da capacidade de adaptação desta planta à região sul do Brasil, já que a proposta abrange avaliar a utilização desta espécie como fonte alternativa de safrol, em substituição a Canela Sassafrás (Ocotea odorifera), espécie muito explorada até a década de 90 nesta região. As amostras da planta foram obtidas de diferentes regiões do Acre e foram cultivadas na estação experimental da EPAGRI - Itajaí-SC. O óleo essencial das folhas forneceu um teor médio de safrol entre 76,6% e 89,9%. A análise por CG-DIC e CG-EM do óleo com maior concentração de safrol, apresentou os seguintes constituintes: safrol (89,93%), α-terpineno (0,35%), (E)-β-ocimeno (0,54%), terpinoleno (3,10%), valenceno (0,21%), (Z)-β-bisaboleno (1,70%) e guaiol (0,29%).

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Dissertação de mestrado integrado em Engenharia Biomédica

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Dissertação de mestrado integrado em Mechanical Engineering

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In this work, we present a 3D web-based interactive tool for numerical modeling and simulation approach to breast reduction surgery simulation, to assist surgeons in planning all aspects related to breast reduction surgery before the actual procedure takes place, thereby avoiding unnecessary risks. In particular, it allows the modeling of the initial breast geometry, the definition of all aspects related to the surgery and the visualization of the post-surgery breast shape in a realistic environment.

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Nanocomposite materials with an organic-inorganic urea-silicate (di-ureasil) based matrix containing gold nanoparticles (NPs) were synthesized and characterized by optical (UV/Vis) spectroscopy and indentation measurement. The urea silicate gels were obtained by reaction between silicon alkoxyde modified by isocyanate group and polyethylene glycol oligomer with amine terminal groups in presence of catalyst. The latter ensures the successful incorporation of citrate-stabilized gold NPs in the matrix. It is shown that using a convenient destabilizing agent (AgNO3) and governing the preparative conditions, the aggregation degree of gold NPs can be controlled. The developed synthesis procedure significantly simplifies the preparative procedure of gold/urea silicate nanocomposites, compared to the procedure using gold NPs, preliminary covered with silica shells. Mechanical properties of the prepared sample were characterised using depth sensing indentation methods (DSI) and an idea about the type of aggregation structures was suggested.

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Dissertação de mestrado integrado em Civil Engineering

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The potential of salicylic acid (SA) encapsulated in porous materials as drug delivery carriers for cancer treatment was studied. Different porous structures, the microporous zeolite NaY, and the mesoporous SBA-15 and MCM-41 were used as hosts for the anti-inflammatory drug. Characterization with different techniques (FTIR, UV/vis, TGA, 1H NMR, and 13C CPMAS NMR) demonstrated the successful loading of SA into the porous hosts. The mesoporous structures showed to be very efficient to encapsulate the SA molecule. The obtained drug delivery systems (DDS) accommodated 0.74 mmol (341 mg/gZEO) in NaY and 1.07 mmol (493 mg/gZEO) to 1.23 mmol (566 mg/gZEO) for SBA-15 and MCM-41, respectively. Interactions between SA molecules and pore structures were identified. A fast and unrestricted liberation of SA at 10 min of the dissolution assay was achieved with 29.3, 46.6, and 50.1 µg/mL of SA from NaY, SBA-15, and MCM-41, respectively, in the in vitro drug release studies (PBS buffer pH 7.4, 37 °C). Kinetic modeling was used to determine the release patterns of the DDS. The porous structures and DDS were evaluated on Hs578T and MDA-MB-468 breast cancer cell lines viability. The porous structures are nontoxic to cancer cells. Cell viability reduction was only observed after the release of SA from MCM- 41 followed by SBA-15 in both breast cancer cell lines.

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Inspired by natural structures, great attention has been devoted to the study and development of surfaces with extreme wettable properties. The meticulous study of natural systems revealed that the micro/nano-topography of the surface is critical to obtaining unique wettability features, including superhydrophobicity. However, the surface chemistry also has an important role in such surface characteristics. As the interaction of biomaterials with the biological milieu occurs at the surface of the materials, it is expected that synthetic substrates with extreme and controllable wettability ranging from superhydrophilic to superhydrophobic regimes could bring about the possibility of new investigations of cellâ material interactions on nonconventional surfaces and the development of alternative devices with biomedical utility. This first part of the review will describe in detail how proteins and cells interact with micro/nano-structured surfaces exhibiting extreme wettabilities.

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This work presents a molecular-scale agent-based model for the simulation of enzymatic reactions at experimentally measured concentrations. The model incorporates stochasticity and spatial dependence, using diffusing and reacting particles with physical dimensions. We developed strategies to adjust and validate the enzymatic rates and diffusion coefficients to the information required by the computational agents, i.e., collision efficiency, interaction logic between agents, the time scale associated with interactions (e.g., kinetics), and agent velocity. Also, we tested the impact of molecular location (a source of biological noise) in the speed at which the reactions take place. Simulations were conducted for experimental data on the 2-hydroxymuconate tautomerase (EC 5.3.2.6, UniProt ID Q01468) and the Steroid Delta-isomerase (EC 5.3.3.1, UniProt ID P07445). Obtained results demonstrate that our approach is in accordance to existing experimental data and long-term biophysical and biochemical assumptions.

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Mulher de 43 anos, sintomática (dispnéia e palpitações), apresentava múltiplas fístulas de alto débito de ambas coronárias para a artéria pulmonar, embolizadas percutaneamente com micro-molas de liberação controlada e balões destacáveis, com sucesso.