22 research outputs found

    Atrial contraction is an important determinant of pulmonary venous flow

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    Pulmonary venous flow has two phases (systolic and diastolic) in normal subjects when studied by pulsed Doppler echocardiography. Only one phase of pulmonary venous flow (diastolic) was observed in six patients without synchronous atrial contraction (four patients with atrial fibrillation and two with complete atrioventricular [AV] block). This pattern reversed to normal (biphasic) when AV synchrony was reestablished by cardioversion to sinus rhythm in patients with atrial fibrillation and by AV sequential pacing in patients with complete AV block. Thus, both atrial and ventricular contraction and relaxation are important determinants of pulmonary venous flow

    Predictions of Heat Transfer and Flow Circulations in Differentially Heated Liquid Columns With Applications to Low-Pressure Evaporators

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    Numerical computations are presented for the temperature and velocity distributions of two differentially heated liquid columns with liquor depths of 0.1 m and 2.215 m, respectively. The temperatures in the liquid columns vary considerably with respect to position for pure conduction, free convection, and nucleate boiling cases using one-dimensional (1D) thermal resistance networks. In the thermal resistance networks the solutions are not sensitive to the type of condensing and boiling heat transfer coefficients used. However, these networks are limited and give no indication of velocity distributions occurring within the liquor. To alleviate this issue, two-dimensional (2D) axisymmetric and three-dimensional (3D) computational fluid dynamics (CFD) simulations of the test rigs have been performed. The axisymmetric conditions of the 2D simulations produce unphysical solutions; however, the full 3D simulations do not exhibit these behaviors. There is reasonable agreement for the predicted temperatures, heat fluxes, and heat transfer coefficients when comparing the boiling case of the 1D thermal resistance networks and the CFD simulations

    Data interpolation in the definition of management zones

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    Precision agriculture (PA) comprises the use of management zones (MZs). Sample data are usually interpolated to define MZs. Current research checks whether there is a need for data interpolation by evaluating the quality of MZs by five indices – variance reduction (VR), fuzzy performance index (FPI), modified partition entropy index (MPE), Kappa index and the cluster validation index (CVI), of which the latter has been focused in current assay. Soil texture, soil resistance to penetration, elevation and slope in an experimental area of 15.5 ha were employed as attributes to the generation of MZ, correlating them with data of soybean yield from 2011-2012 and 2012-2013 harvests. Data interpolation prior to MZs generation is important to achieve MZs as a smoother contour and for a greater reduction in data variance. The Kriging interpolator had the best performance. CVI index proved to be efficient in choosing MZs, with a less subjective decision on the best interpolator or number of MZs.
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