Results 41 to 50 of about 127 (127)
ABSTRACT Accurately predicting open‐channel flow under complex conditions remains a challenge. This study introduces a novel synergetic self‐adaptive data assimilation (DA) framework, using a proportional‐integral‐derivative (PID) controller to dynamically calibrate the bed roughness parameter ks in a shallow‐water equation model (via the momentum ...
M. Almetwally Ahmed, S. Samuel Li
wiley +1 more source
Ligand Co‐Deposition in Focused Electron Beam Induced Nanoprinting: A Predictive Composition Model
Nanoprinting using focused electron beam induced deposition (FEBID) with metalorganic molecules (ML) offers unparalleled spatial resolution and flexibility in 3D shape design. Here the key feature of nanoprint material is addressed ‐ its metal composition.
Jakub Jurczyk +3 more
wiley +1 more source
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Abstract Solute transport simulators aiming to accurately describe the transport of charged chemical species in porous media need to account for electrostatic coupling effects. Each ion in pore water possesses a specific electric charge and molecular diffusion coefficient, properties that determine their mobility and the overall charge balance of ...
Rodrigo Pérez‐Illanes +3 more
wiley +1 more source
Markov Determinantal Point Process for Dynamic Random Sets
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source
Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci +4 more
wiley +1 more source
Utility of local capillary supply indices: Insights from computational image‐based modelling
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari +6 more
wiley +1 more source
Abstract figure legend Schematic overview of the study's methodology and key findings. In a preclinical swine model, doxorubicin administration induced cardiotoxicity, characterized by diffuse fibrotic remodelling and altered electrical function, as assessed by magnetic resonance (MR) imaging and electrophysiological mapping.
Javier Villar‐Valero +7 more
wiley +1 more source
Abstract figure legend Ephaptic phenomena in a high‐resolution model of the cardiac intercalated disc. Meshed representation of a tortuous intercalated disc that was generated based on electron and super‐resolution microscopy data. Na+ channels (red) and gap junctions (green) are heterogeneously distributed, with additional regions of reduced ion ...
Ena Ivanovic +4 more
wiley +1 more source
A Mathematical Model for Two‐Phase Flow in Confined Environments: Numerical Solution and Validation
We present a numerical framework based on the Cahn‐Hilliard‐Navier‐Stokes (CHNS) model to simulate biphasic flow in confined environments. After deriving the mathematical model, we develop the weak form of the system of PDEs using a pedagogical approach to enable its implementation in FEniCS.
Giuseppe Sciumè +3 more
wiley +1 more source

