1. The velocity and pattern of movement of lymph in the thoracic duct of anaesthetized and conscious dogs has been studied by observing the movement of droplets of ultrafluid lipiodol in the duct.2. The velocity of flow when anaesthetized varied from 0.1-2.0 cm/sec, to 5.0 cm/sec when conscious.3. The pattern of flow was affected by respiration and the cardiac cycle. Most movement occurred at the end of inspiration.4. The duct of five autopsy preparations was perfused with saline to assess the volume and velocity of flow produced by the level of pressure gradients previously observed in the duct. These studies show that the small gradients (2-5 mmHg) observed during life are more than sufficient to produce the normal volume and velocity of flow measured. The mean resistance of the duct was 0.5 mmHg/ml. min.
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http://dx.doi.org/10.1113/jphysiol.1974.sp010488 | DOI Listing |
Sci Rep
January 2025
Institute for Plasma Research, HBNI, Bhat, Gandhinagar, 382428, India.
The stability of kinetic-level convection cells (wherein the magnitude of macroscopic and microscopic velocities are of same order) is studied in a two-dimensional Yukawa liquid under the effect of microscopic velocity perturbations. Our numerical experiments demonstrate that for a given system aspect ratio β viz., the ratio of system length [Formula: see text] to its height [Formula: see text] and number of convective rolls initiated [Formula: see text], the fate of the convective cells is decided by [Formula: see text].
View Article and Find Full Text PDFJ Atheroscler Thromb
January 2025
Department of Neurology, National Cerebral and Cardiovascular Center.
Aim: Branch atheromatous disease (BAD), characterized by the occlusion of perforating branches near the orifice of a parent artery, often develops early neurological deterioration because the mechanisms underlying BAD remain unclear. Abnormal wall shear stress (WSS) is strongly associated with endothelial dysfunction and plaque growth or rupture. Therefore, we hypothesized that computational fluid dynamics (CFD) modeling could detect differences in WSS between BAD and small-vessel occlusion (SVO), both of which result from perforating artery occlusion/stenosis.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
January 2025
Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address:
Background: Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) shows promise for quantifying mitral regurgitation (MR) by allowing for direct regurgitant volume (RVol) measurement using a plane precisely placed at the MR jet. However, the ideal location of a measurement plane remains unclear. This study aims to systematically examine how varying measurement locations affect RVol quantification and determine the optimal location using the momentum conservation principle of a free jet.
View Article and Find Full Text PDFSci Rep
January 2025
University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan, 680-749, Republic of Korea.
This study employed large eddy simulation (LES) with the wall-adapting local eddy-viscosity (WALE) model to investigate transitional flow characteristics in an idealized model of a healthy thoracic aorta. The OpenFOAM solver pimpleFoam was used to simulate blood flow as an incompressible Newtonian fluid, with the aortic walls treated as rigid boundaries. Simulations were conducted for 30 cardiac cycles and ensemble averaging was employed to ensure statistically reliable results.
View Article and Find Full Text PDFMagn Reson Imaging
January 2025
Institute of Fluid Mechanics, University of Rostock, Rostock, Germany.
Purpose: To improve the current method for MRI turbulence quantification which is the intravoxel phase dispersion (IVPD) method. Turbulence is commonly characterized by the Reynolds stress tensor (RST) which describes the velocity covariance matrix. A major source for systematic errors in MRI is the sequence's sensitivity to the variance of the derivatives of velocity, such as the acceleration variance, which can lead to a substantial measurement bias.
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