Results 111 to 120 of about 54,980 (218)
A data‐driven workflow for constructing a geometry‐aware lumped arterial stenosis model: Statistical shape modeling extracts geometry‐specific shape modes from synthetically generated coronary lesion geometries. Large‐scale 3D CFD simulations over varying Reynolds numbers yield the geometries their viscous (Kv) and inertial (Kt) loss coefficients. Then,
P. L. J. Hilhorst +6 more
wiley +1 more source
This work presents an innovative approach to modelling 1D fluid dynamics in complex networks using physics‐informed neural networks as surrogate models. By integrating physics‐based constraints with data‐driven learning, we develop an efficient and generalisable framework for uncertainty quantification and parameter estimation in real‐world ...
William Ryan +4 more
wiley +1 more source
Modeling stratified dispersal in forest pests: A case study of the mountain pine beetle in Alberta
Abstract Forest pests pose critical threats to forest ecosystems worldwide, yet accurately predicting their spatial spread remains challenging due to complex dispersal behaviors, weather effects, and the inherent difficulty of tracking small organisms across large landscapes.
Evan C. Johnson +2 more
wiley +1 more source
Abstract Objective We have established a comprehensive sample handling protocol designed for the multiscale assessment of epileptogenic tissue. This protocol aims to identify novel therapeutic targets and enhance the diagnosis and stratification of patients with drug‐resistant epilepsy, thereby optimizing their treatment with anti‐seizure medications ...
Jenni Kyyriäinen +24 more
wiley +1 more source
Bivariate Copula‐Based Regression for Joint Modeling of Healthcare Visits
ABSTRACT Doctor and non‐doctor visit frequencies are key indicators of healthcare access, utilization and individual health‐seeking behavior. While doctor visits reflect engagement with formal medical services, non‐doctor visits, such as to nurses, physiotherapists or alternative providers, offer insights into patient preferences and system ...
Giampiero Marra, Rosalba Radice
wiley +1 more source
ABSTRACT The analysis of interactions between biological agents or with surrounding chemicals is important in many areas of modern biochemical, biomedical, and environmental research. Microscale platforms based on affinity chromatography have been shown to be a powerful set of tools for these studies.
David S. Hage +8 more
wiley +1 more source
A scattering‐robust 3D speckle customization method is proposed to enhance both resolution and imaging depth in scattering tissue. Applied to light‐field microscopy (LFM), it improves 3D resolution by over twofold under strong optical scattering. In wide‐field fluorescence imaging, it enables a substantial improvement in imaging depth, allowing imaging
Yue Xing +4 more
wiley +1 more source
Spectral Parameter Power Series Representation for Regular Solutions of the Radial Dirac System
ABSTRACT A spectral parameter power series (SPPS) representation for the regular solution of the radial Dirac system with complex coefficients is obtained, as well as a SPPS representation for the (entire) characteristic function of the corresponding spectral problem on a finite interval. Based on the SPPS representation, a numerical method for solving
Emmanuel Roque, Sergii M. Torba
wiley +1 more source
Based on an all‐dielectric metasurface with cross‐phase modulation, we achieve the generation and polarization control of integers and fractional order irregular perfect vector vortex beams on the hybrid Poincaré sphere, opening a new avenue for optical field manipulation.
Xiaojie Sun +7 more
wiley +1 more source
Nanopore Trap for Label‐Free Fingerprinting of Surface‐modified Single Nanoparticles
A solid‐state nanopore trapping‐based methodology combines “trap‐release” measurement protocol with multiple features extracted from ionic current of trapping events to generate unique electrical fingerprints of nanoparticles with distinct surface functional layers.
Nianduo Cai +4 more
wiley +1 more source

