994 resultados para C Programming
Resumo:
Ciências biomédicas
Resumo:
Volatile organic compounds are a common source of groundwater contamination that can be easily removed by air stripping in columns with random packing and using a counter-current flow between the phases. This work proposes a new methodology for the column design for any particular type of packing and contaminant avoiding the necessity of a pre-defined diameter used in the classical approach. It also renders unnecessary the employment of the graphical Eckert generalized correlation for pressure drop estimates. The hydraulic features are previously chosen as a project criterion and only afterwards the mass transfer phenomena are incorporated, in opposition to conventional approach. The design procedure was translated into a convenient algorithm using C++ as programming language. A column was built in order to test the models used either in the design or in the simulation of the column performance. The experiments were fulfilled using a solution of chloroform in distilled water. Another model was built to simulate the operational performance of the column, both in steady state and in transient conditions. It consists in a system of two partial non linear differential equations (distributed parameters). Nevertheless, when flows are steady, the system became linear, although there is not an evident solution in analytical terms. In steady state the resulting system of ODE can be solved, allowing for the calculation of the concentration profile in both phases inside the column. In transient state the system of PDE was numerically solved by finite differences, after a previous linearization.
Resumo:
This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.
Resumo:
Within a large set of renewable energies being explored to tackle energy sourcing problems, bioenergy can represent an attractive solution if effectively managed. The supply chain design supported by mathematical programming can be used as a decision support tool to the successful bioenergy production systems establishment. This strategic decision problem is addressed in this paper where we intent to study the design of the residual forestry biomass to bioelectricity production in the Portuguese context. In order to contribute to attain better solutions a mixed integer linear programming (MILP) model is developed and applied in order to optimize the design and planning of the bioenergy supply chain. While minimizing the total supply chain cost the production energy facilities capacity and location are defined. The model also includes the optimal selection of biomass amounts and sources, the transportation modes selection, and links that must be established for biomass transportation and products delivers to markets. Results illustrate the positive contribution of the mathematical programming approach to achieve viable economic solutions. Sensitivity analysis on the most uncertain parameters was performed: biomass availability, transportation costs, fixed operating costs and investment costs. (C) 2015 Elsevier Ltd. All rights reserved.
Resumo:
We consider an optimal control problem with a deterministic finite horizon and state variable dynamics given by a Markov-switching jump–diffusion stochastic differential equation. Our main results extend the dynamic programming technique to this larger family of stochastic optimal control problems. More specifically, we provide a detailed proof of Bellman’s optimality principle (or dynamic programming principle) and obtain the corresponding Hamilton–Jacobi–Belman equation, which turns out to be a partial integro-differential equation due to the extra terms arising from the Lévy process and the Markov process. As an application of our results, we study a finite horizon consumption– investment problem for a jump–diffusion financial market consisting of one risk-free asset and one risky asset whose coefficients are assumed to depend on the state of a continuous time finite state Markov process. We provide a detailed study of the optimal strategies for this problem, for the economically relevant families of power utilities and logarithmic utilities.
Resumo:
Seguimos ambulatorialmente, por no mínimo 180 dias, 111 receptores de transfusões, para avaliarmos a ocorrência de hepatites pós-transfusionais e os agentes etiológicos envolvidos com esta doença, na cidade de Campinas, Estado de São Paulo, Brasil. No final diagnosticamos esta hepatite em 18 (16,2%) receptores. Destes, tivemos 16 (89%) casos devido ao vírus da hepatite C, 1 (5,5%) causado pelo vírus da hepatite B e 1 (5,5%) caso restante, sem etiologia determinada, 15 meses após a transfusão. O período de incubação da hepatite por vírus C (HVC) foi de 71 dias, em média; e 23% dos indivíduos com esta hepatite permaneceram com aumento de AST/ALT por mais de 6 meses. Observou-se soroconversão tardia para o anti-HCV em 71,4% dos receptores, que ocorreu, em média, 135 dias após a transfusão. Uma dosagem de ALT e uma pesquisa do anti-HCV, aos 3 e 6 meses, após a transfusão, diagnosticariam, respectivamente, 71 e 93% dos casos que desenvolveram HVC pós-transfusionais.
Resumo:
Pesquisamos os anticorpos anti-HBc e anti-HCV em amostras de soros provenientes de 799 candidatos a doadores, que tiveram suas unidades de sangue ou derivados transfundidas a 111 receptores. O anti-HBc e o anti-HCV foram reagentes, em respectivamente 9 e 2,1% dos doadores testados. Observamos que entre os 111 receptores, 44 haviam recebido pelo menos uma unidade anti-HBc positiva e 67 haviam sido transfundidos somente com unidades anti-HBc negativas. Houve um risco 4,5 vezes maior de aquisição de hepatite por vírus C pelos receptores que receberam pelo menos uma unidade anti-HBc positiva Se a pesquisa do anti-HBc fosse realizada na triagem sorológica dos doadores de sangue, cerca de 56% dos casos de HVC nos receptores saiam evitados. A população de receptores que recebeu pelo menos uma unidade anti-HCV reagente, apresentou um risco 29 vezes maior de adquirir esta hepatite, quando comparada aos receptores transfundidos com todas as unidades anti-HCV negativas. A realização do teste para a pesquisa do anti-HCV na triagem dos doadores de sangue, preveniria 79% dos casos de HVC pós-transfusionais. Os candidatos a doadores brasileiros parecem ser acometidos simultânea ou sequencialmente, pelos vírus B e C das hepatites, pois, 44,4% dos doadores anti-HCV positivos, também foram anti-HBc positivos. A realização dos testes para as pesquisas dos anticorpos anti-HBc e anti-HCV, nas triagens hemoterápicas, está indicada para prevenir a transmissão de hepatites pós-transfusionais, em nosso meio.
Resumo:
Dissertação para obtenção do grau de Mestre em Engenharia Eletrotécnica Ramo de Automação e Eletrónica Industrial
Resumo:
Two groups of patients undergoing hemodialysis (HD) maintenance were evaluated for their antibody response to non-structural c100/3 protein and structural core protein of hepatitis C virus (HCV). Forty-six patients (Group 1) never presented liver abnormalities during HD treatment, while 52 patients (Group 2) had either current or prior liver enzyme elevations. Prevalence rates of 32.6% and 41.3% were found for anti-c100/3 and anti-HCV core antibodies, respectively, in patients with silent infections (Group 1). The rate of anti-c100/3 in patients of Group 2 was 71.15% and reached 86.5% for anti-HCV core antibodies. The recognition of anti-c100/3 and anti-core antibodies was significantly higher in Group 2 than in Group 1. A line immunoassay composed of structural and non-structural peptides was used as a confirmation assay. HBV infection, measured by the presence of anti-HBc antibodies, was observed in 39.8% of the patients. Six were HBsAg chronic carriers and 13 had naturally acquired anti-HBs antibodies. The duration of HD treatment was correlated with anti-HCV positivity. A high prevalence of 96.7% (Group 2) was found in patients who underwent more than 5 years of treatment. Our results suggest that anti-HCV core ELISA is more accurate for detecting HCV infection than anti-c100/3. Although the risk associated with the duration of HD treatment and blood transfusion was high, additional factors such as a significant non-transfusional spread of HCV seems to play a role as well. The identification of infective patients by more sensitive methods for HCV genome detection should help to control the transmission of HCV in the unit under study.
Resumo:
Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
Resumo:
Even though Software Transactional Memory (STM) is one of the most promising approaches to simplify concurrent programming, current STM implementations incur significant overheads that render them impractical for many real-sized programs. The key insight of this work is that we do not need to use the same costly barriers for all the memory managed by a real-sized application, if only a small fraction of the memory is under contention lightweight barriers may be used in this case. In this work, we propose a new solution based on an approach of adaptive object metadata (AOM) to promote the use of a fast path to access objects that are not under contention. We show that this approach is able to make the performance of an STM competitive with the best fine-grained lock-based approaches in some of the more challenging benchmarks. (C) 2015 Elsevier Inc. All rights reserved.
Resumo:
O presente trabalho, além da revisão da literatura sobre quimiotipagem do C. neoformans, com novos dados sobre a epidemiologia da criptococose, teve por finalidade principal a caracterização das duas variedades desta levedura em pacientes com neurocriptococose, HIV + e HIV -. As variedades neoformans e gattii estão hoje bem definidas bioquimicamente, com o emprego do meio C.G.B., proposto por KWON-CHUNG et al. (1982) 24. O isolamento do C. neoformans var. gattii das flores e folhas do Eucalyptus camaldulensis e do Eucalyptus tereticornis, na Austrália, através dos trabalhos de ELLIS & PFEIFFER (1990)16 e PFEIFFER & ELLIS (1992)41, possibilitou investigações epidemiológicas das mais interessantes sobre este microrganismo, levedura capsulada a qual SANFELICE50, 51, na Itália, em 1894 e 1895 despertou a atenção do meio médico. BUSSE8, em 1894, descrevia o primeiro caso de criptococose humana sob a forma de lesão óssea, simulando sarcoma. As pesquisas nacionais sobre o assunto em foco foram destacadas, seguindo-se a experiência dos Autores com o meio de C.G.B. (L - canavanina, glicina e azul de bromotimol). Foi possível, através deste meio o estudo de 50 amostras de líquor, sendo 39 procedentes de aidéticos (78%) e 11 de não aidéticos (22%). De pacientes HIV+, 37 (74%) foram identificados como C. neoformans var. neoformans e 2 (4%) como C. neoformans var. gattii. Dos HIV- 8 ( 16%) foram classificados como C. neoformans var. neoformans e 3 (6%) como C. neoformans var. gattii. Através deste trabalho, evidencia-se a importância da neurocriptococose, principalmente entre os aidéticos, demonstrando-se mais uma vez o interesse do meio CGB na quimiotipagem do C. neoformans em suas duas variedades, ganhando em importância a demonstração de que duas espécies de eucalipto podem funcionar como "árvores-hospedeiras" para o Cryptococcus neoformans var. gattii.
Resumo:
A new algorithm for the velocity vector estimation of moving ships using Single Look Complex (SLC) SAR data in strip map acquisition mode is proposed. The algorithm exploits both amplitude and phase information of the Doppler decompressed data spectrum, with the aim to estimate both the azimuth antenna pattern and the backscattering coefficient as function of the look angle. The antenna pattern estimation provides information about the target velocity; the backscattering coefficient can be used for vessel classification. The range velocity is retrieved in the slow time frequency domain by estimating the antenna pattern effects induced by the target motion, while the azimuth velocity is calculated by the estimated range velocity and the ship orientation. Finally, the algorithm is tested on simulated SAR SLC data.