976 resultados para gas flow


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OBJECTIVE - To evaluate the Coronary Flow Reserve in the Coronary Sinus through transesophageal Doppler echocardiography in normal subjects. METHODS - We obtained technically adequate flow samples for analysis in 10 healthy volunteers (37±8 years, 5 men) with no history of heart or systemic disease and with mean left ventricular mass index by transthoracic echocardiography of 87±18 g/m². Coronary sinus flow velocity was recorded within the coronary sinus with the patient in a resting condition and during intravenous adenosine infusion at a dose of 140 µg/kg/min for 4 minutes. Recording of coronary sinus blood flow was possible in all cases with measurement of peak systolic, diastolic, and retrograde velocities (PSV, PDV, and PRV, cm/sec), mean systolic and diastolic velocities (MSV and MDV, cm/sec), and systolic and diastolic velocity time integral (VTI S and VTI D, cm/sec). RESULTS - The coronary flow reserve was calculated as the ratio between the blood flow in the basal state and the maximum measured hyperemic blood flow with adenosine infusion. Results are shown as mean and standard deviations. (CFR = PSV + PDV -- PRV/basal PSV): 1st min = 2.2±0.21; 2nd min = 3±0.3; 3rd min = 3.4±0.37; 4th min = 3.6 ± 0.33. CONCLUSION - Although coronary sinus flow had significantly increased in the first minute, higher velocities were seen at third and fourth minutes, indicating that these should be the best times to study coronary sinus flow with intravenous adenosine in continuous infusion.

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The occurrence of anaerobic oxidation of methane (AOM) and trace methane oxidation (TMO) was investigated in a freshwater natural gas source. Sediment samples were taken and analyzed for potential electron acceptors coupled to AOM. Long-term incubations with 13C-labeled CH4 (13CH4) and different electron acceptors showed that both AOM and TMO occurred. In most conditions, 13C-labeled CO2 (13CO2) simultaneously increased with methane formation, which is typical for TMO. In the presence of nitrate, neither methane formation nor methane oxidation occurred. Net AOM was measured only with sulfate as electron acceptor. Here, sulfide production occurred simultaneously with 13CO2 production and no methanogenesis occurred, excluding TMO as a possible source for 13CO2 production from 13CH4. Archaeal 16S rRNA gene analysis showed the highest presence of ANME-2a/b (ANaerobic MEthane oxidizing archaea) and AAA (AOM Associated Archaea) sequences in the incubations with methane and sulfate as compared with only methane addition. Higher abundance of ANME-2a/b in incubations with methane and sulfate as compared with only sulfate addition was shown by qPCR analysis. Bacterial 16S rRNA gene analysis showed the presence of sulfate-reducing bacteria belonging to SEEP-SRB1. This is the first report that explicitly shows that AOM is associated with sulfate reduction in an enrichment culture of ANME-2a/b and AAA methanotrophs and SEEP-SRB1 sulfate reducers from a low-saline environment.

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El objetivo de este trabajo es identificar la política óptima (considerando producción, transporte y regulación) para la integración de la industria de gas natural en el Mercosur. Se analizarán factores que promueven o limitan la integración en la región. Utilizando un modelo matemático de flujo de redes, se minimizará el costo total (producción y transporte) para la región en su conjunto, satisfaciendo las restricciones de producción, capacidad de transporte y equilibrio (oferta igual a demanda) en cada nodo. El costo total (CT) de la producción y transporte de gas natural (considerando nodos para cada país en la región) es la función objetivo. El proceso de optimización consiste en identificar el nivel de gas natural producido y transportado que minimiza el costo total del sistema para la región. El modelo es estático, no considerando una optimización dinámica con relación a las reservas remanentes. Restricciones Consideramos cuatro restricciones en operación, a saber: 1. Equilibrio en los nodos: esta ecuación establece el equilibrio entre la oferta y la demanda de gas natural en cada nodo. La oferta incluye la producción local y las importaciones. Por su parte, la demanda incluye el consumo doméstico más las exportaciones. 2. Capacidad de producción en cada cuenca: esta restricción establece que las cantidades producidas en cada cuenca debería ser menor o igual a su capacidad de producción. Ello también permite la existencia de una utilización no plena de la capacidad. La capacidad máxima de producción en cada cuenca está determinada sobre la base de una medida de política para cada país a través de la cual el horizonte de consumo de las reservas probadas está establecido. Dada esta relación, el límite sobre la producción de cada año está fijado. En otras palabras, el nivel de producción no está basado ni en la capacidad instalada de producción ni en los precios, sino en la política de agotamiento decidida sobre las reservas probadas en el año de calibración del modelo. Esto permite diferentes escenarios para el análisis. Para las simulaciones se tomó el ratio de reservas a producción en el año de calibración del modelo. 3. Capacidad de transporte: el gas transportado a través de un gasoducto (los operativos y aquellos que están en plan de construcción), en general, y el gas transportado desde cada cuenca a cada mercado, en particular, debería ser menor o igual a la capacidad del gasoducto. 4. Nivel no negativo de gas natural producido: esto evita la existencia de soluciones inconsistentes no sólo desde un punto de vista económico sino también técnico. Referencias Banco Interamericano de Desarrollo BID (2001). Integración Energética en el Mercosur Ampliado, Washington DC. Beato, Paulina and Juan Benavides (2004). Gas Market Integration in the Southern Cone. Inter-American Development Bank. Washington, D.C. Conrad, Jon M. (1999). Resource Economics. Cambridge University Press. United States of America. Dasgupta, P.S. and G. M. Heal (1979). Economic Theory and Exhaustible Resources. Cambridge University Press. United States of America. Dos Santos, Edmilson M, Victorio E. Oxilia Dávalos, and Murilo T. Werneck Fagá (2006). “Natural Gas Integration in Latin America: Forward or Backwards?”. Revue de l’Energie, Nº 571, mai-juin. Fagundes de Almeida, E.L. y Trebat, N. (2004). “Drivers and barriers to cross-border gas trade in the southern cone”. Oil, Gas & Energy Law Intelligence, Vol. 2, Nº 3, Julio. Givogri, Pablo (2007). “Condiciones de abastecimiento y precios de la industria del gas de Argentina en los próximos años”. Fundación Mediterránea. Julio. Córdoba, Argentina. Kozulj, Roberto (2004). “La industria del gas natural en América del Sur: situación y posibilidades de la integración de los mercados”. Serie Recursos Naturales e Infraestructura. Nº 77. CEPAL. Santiago de Chile, Chile. Diciembre.

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Spouted bed, hydrodynamic, gas-solid fluidization, flow regime, minimum spouting velocity, fluid oscillation, carbon coating, diabas, filler, fine particles

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Liquid separation efficiency, liquid penetration, modeling, arrays of temperature, distribution, fluidized bed, two-phase-nozzle

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Electrokinetic transport, electrochromatography, electroosmotic flow, electrophoresis, concentration polarization, fixed beds, monoliths, dynamic NMR microscopy, quantitative confocal laser scanning microscopy, mathematical modelling, numerical analysis

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2011

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Technology of high concistency materials, mixing prozess, sewage sludge incineration ash, products of the flue gas cleaning, flow behaviour, reaction calorimetry, hydraulic transportation, setting

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Step flow growth, meandering instability, coarsening

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Analyte retention, analyte transport, axial dispersion, adsorption, charge-selectivity, concentration polarization, confocal laser scanning microscopy, donnan-exclusion, electrical double layer; electrochromatography; electrohydrodynamics, electrokinetic instability, electroosmosis; electroosmotic flow; electroosmotic mobility, electroosmotic perfusion, electrophoresis, hierarchical porous media, hydrodynamic flow, induced-charge electroosmosis, ion-permselectivity, ion-permselective transport, monolith, nonequilibrium electrical double layer, nonequilibrium electrokinetic effects, nonlinear electroosmosis, plate height, plate number, porous media, pore-scale dispersion, refractive index matching, space charge effects, sphere packing, quantitative imaging, wall effect, zeta-potential

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Cross-Flow, Radial Jets Mixing, Temperature Homogenization, Optimization, Combustion Chamber, CFD

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AbstractBackground:The relationship between psychiatric illness and heart disease has been frequently discussed in the literature. The aim of the present study was to investigate the relationship between anxiety, depression and overall psychological distress, and coronary slow flow (CSF).Methods:In total, 44 patients with CSF and a control group of 50 patients with normal coronary arteries (NCA) were prospectively recruited. Clinical data, admission laboratory parameters, and echocardiographic and angiographic characteristics were recorded. Symptom Checklist 90 Revised (SCL-90-R), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI) scales were administered to each patient.Results:The groups were comparable with respect to age, sex, and atherosclerotic risk factors. In the CSF group, BAI score, BDI score, and general symptom index were significantly higher than controls (13 [18.7] vs. 7.5 [7], p = 0.01; 11 [14.7] vs. 6.5 [7], p = 0.01; 1.76 [0.81] vs. 1.1[0.24], p = 0.01; respectively). Patients with CSF in more than one vessel had the highest test scores. In univariate correlation analysis, mean thrombolysis in myocardial infarction (TIMI) frame counts were positively correlated with BAI (r = 0.56, p = 0.01), BDI (r = 0.47, p = 0.01), and general symptom index (r = 0.65, p = 0.01). The psychiatric tests were not correlated with risk factors for atherosclerosis.Conclusion:Our study revealed higher rates of depression, anxiety, and overall psychological distress in patients with CSF. This conclusion warrants further studies.

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Magdeburg, Univ., Fak. für Informatik, Diss., 2009

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Magdeburg, Univ., Fak. für Verfahrens- und Systemtechnik, Diss., 2009