Results 211 to 220 of about 10,926,215 (298)

Application, Challenges, and Prospects of Non‐Thermal Processing Technologies for Seaweed Protein Extraction—A Review

open access: yesFood Chemistry International, EarlyView.
This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud   +3 more
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime   +3 more
wiley   +1 more source

Polymer Stress‐Tensor Calculation for a Laminar Submerged Viscoelastic Jet Flow Using Different Constitutive Models

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study presents an efficient method to compute polymer stress‐tensor components in viscoelastic laminar jet flows using models such as Oldroyd‐B, Giesekus, PTT, and FENE. By assuming a stationary and parallel flow, the methodology significantly reduces computational cost.
Rafael de Lima Sterza   +3 more
wiley   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari   +2 more
wiley   +1 more source

Enhancing the Sensitivity of Colorimetric Aptasensor Through Cd2+‐Thymine Interactions in ssDNA Loops for Food Contaminant Detection

open access: yesFood Safety and Health, EarlyView.
This picture illustrates a novel aptamer‐based colorimetric assay, which demonstrates that high sensitivity, selectivity, and reliability for the rapid detection of cadmium ions (Cd2+) in water. Molecular dynamics (MD) simulations have revealed that the complexes are more stable, with Cd2+ binding more tightly to the thymine (T) within the aptamer loop.
Xuyan Li   +7 more
wiley   +1 more source

National and Subnational Models of Care That Support Primary Health Care: A Mixed‐Methods Study

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT In 2020, the World Health Assembly called on countries to reorient their models of care (MOCs) toward primary health care (PHC). This study's objectives were to (a) describe common use of the concept of MOC; and (b) identify implemented MOCs and their components that support PHC at national and subnational levels. A scoping review charted data
Mary Louisa Plummer   +5 more
wiley   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

Experimental Factors and Techniques for Pool Boiling Heat Transfer Enhancement: A Critical Review

open access: yesHeat Transfer, EarlyView.
ABSTRACT This review presents a comprehensive assessment of active strategies for enhancing pool boiling heat transfer, with a focus on techniques that do not rely solely on the boiling surface modification. It examines a broad range of methodologies including fluid additives, external fields, mechanical interventions, and thermal‐geometric tuning that
José E. Pereira   +2 more
wiley   +1 more source

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