The ventricles can be considered a type of poroelastic material, where the mass and pressure of the interstitial fluid, along with the displacement of the skeleton, are the three primary physical quantities of interes...
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Fluid-structure interaction (FSI) plays a crucial role in cardiac mechanics, where the strong coupling between fluid flow and deformable structures presents significant computational challenges. The immersed boundary ...
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作者：
Baras, John S.Applied Mathematics
Statistics and Scientific Computation Program Institute for Systems Research University of Maryland College Park United States
Networked systems are ubiquitous. A taxonomy of networked systems includes infrastructure and communication networks, social and economic networks, biological networks and biological swarms, robotic swarms, and severa...
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Based on government policies regarding the implementation of learning from home, it is necessary the learning innovation to continue learning in the new normal era by utilizing existing technological advances. In this...
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The incompressible Navier Stokes equations are solved numerically using the Fractional Step algorithm. A Cartesian staggered-grid solver based on a high order upwind reconstruction of the convective flux is developed ...
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The coronary artery constitutes a vital vascular system that sustains cardiac function, with its primary role being the conveyance of indispensable nutrients to the myocardial tissue. When coronary artery disease occu...
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Significance This research introduces a novel investigation of the thermal and hydrodynamic behavior of copper nanoparticles with larger radii and increasing interparticle spacing under varying ratios of momentum to t...
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Significance This research introduces a novel investigation of the thermal and hydrodynamic behavior of copper nanoparticles with larger radii and increasing interparticle spacing under varying ratios of momentum to thermal diffusivities. Such conditions capture the combined effects of nanoparticle size and spacing because they influence pollutant discharge analysis like wastewater treatment and industrial pollutant mitigation. Motive This study investigates the thermal and mass transport in a cross-fluid model under the influence of Rayleigh-Benard convention. This study emphasizes pollutant discharge effects and diffusivity ratio variations with unique concept of active and passive control mechanism. Furthermore, present analysis incorporates inter-particle spacing and the influence of larger nanoparticle radii concept for heat and mass transfer efficiency. Velocity is controlled through inclined magnetic fields and thermal transport scrutinized through exponential heat radiation effect. Methodology The formulated system of partial differential equations (PDEs) is further transferred into ordinary differential equations (ODEs) using similarity tools. Obtained ODEs are passed under bvp4c scheme to get initial solution and artificial neural network scheme named as Levenberg Marquardt neural network (LMNN) is utilized to predict the solution. Findings With higher flow index behavior, the velocity of nanofluid increasing for shrinking case ( λ < 0 ) with smaller particle spacing ( h = 0.1 ) , it increases for larger particle spacing ( h = 1.0 ) , while on the other hand, for stretching case ( λ > 0 ) , it increases with smaller particle spacing ( h = 0.1 ) and it decreases for larger particle spacing ( h = 1.0 ) . For higher local pollutant source parameter and external pollutant source parameter, the concentration of nanofluid decreases for active control and increases for passive control.
The reduced basis methodology is an efficient approach to solve parameterized discrete partial differential equations when the solution is needed at many parameter values. An offline step approximates the solution spa...
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In this paper we apply a multiobjective optimization model of Smart Growth to land development. The term Smart Growth is meant to describe development strategies-that do not promote urban sprawl. However, the term is ...
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Background Understanding the interaction between the mitral valve(MV)and the left ventricle(LV)is very important in assessing cardiac pump function,especially when the MV is *** dysfunction is a major medical problem ...
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Background Understanding the interaction between the mitral valve(MV)and the left ventricle(LV)is very important in assessing cardiac pump function,especially when the MV is *** dysfunction is a major medical problem owing to the essential role of the MV in cardiac pump *** modelling can provide new approaches to gain insight into the functions of the MV and *** In this study,a previously developed LV-MV model was used to study cardiac dynamics of MV leaflets under normal and pathological conditions,including hypertrophic cardiomyopathy(HOCM)and calcification of the *** coupled LV-MV model was implemented using a hybrid immersed boundary/finite element method to enable assessment of MV haemodynamic *** parameters of the HOCM and calcified valves were inversely determined from published experimental *** LV compensation mechanism was further studied in the case of the calcified *** Our results showed that MV dynamics and LV pump function could be greatly affected by MV *** example,the HOCM case showed bulged MV leaflets at the systole owing to low stiffness,and the calcified MV was associated with impaired diastolic filling and much-reduced stroke *** further demonstrated that either increasing the LV filling pressure or increasing myocardial contractility could enable a calcified valve to achieve near-normal pump *** The modelling approach developed in this study may deepen our understanding of the interactions between the MV and the LV and help in risk stratification of heart valve disease and in silico treatment planning by exploring intrinsic compensation mechanisms.
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