Results 81 to 90 of about 6,618 (260)
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
PIV data reconstruction via proper orthogonal decomposition with a cross validation approach
In this research, unsteady particle image velocimetry (PIV) data are reconstructed / analyzed by a proper orthogonal decomposition (POD) with a cross validation approach.
Wataru YAMAZAKI +2 more
doaj +1 more source
Front Propagation Through a Perforated Wall
ABSTRACT We consider a bistable reaction– diffusion equation ut=Δu+f(u)$u_t=\Delta u +f(u)$ on RN${\mathbb {R}}^N$ in the presence of an obstacle K$K$, which is a wall of infinite span with many holes. More precisely, K$K$ is a closed subset of RN${\mathbb {R}}^N$ with smooth boundary such that its projection onto the x1$x_1$‐axis is bounded and that ...
Henri Berestycki +2 more
wiley +1 more source
Visualization and modal decomposition of vortex street behind circular cylinder
Time resolved particle image velocimetry measurement of vortex street behind circular cylinder was carried out. Vorex street was measured for Reynolds numbers up to few thousands.
Čížek J., Železný P., Hyhlík T.
doaj +1 more source
Applying Proper Orthogonal Decomposition to Parabolic Equations: A Reduced Order Numerical Approach [PDF]
In this paper we present a low-order numerical scheme developed using the Proper Orthogonal (POD) method to address non-homogeneous parabolic equations in both one and two dimensions.
Mircea MORARU
doaj +1 more source
Lagrangian Proper Orthogonal Decomposition
We introduce a modal representation for Lagrangian trajectories in turbulence, termed Lagrangian Proper Orthogonal Decomposition (LPOD). An ensemble of particle trajectories is used to construct velocity time series, which are normalized independently for each trajectory to isolate fluctuations.
Shnapp, Ron, Brizzolara, Stefano
openaire +2 more sources
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel +2 more
wiley +1 more source
Refractive Index–Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology
ABSTRACT Conventional bright‐field (BF) cytology of thyroid fine‐needle aspiration biopsy (FNAB) suffers from staining variability and limited subcellular contrast. Here, we present a refractive index–correlated pseudocoloring (RICP) framework that integrates quantitative refractive index (RI) maps obtained by holotomography (HT) with color BF images ...
Minseok Lee +8 more
wiley +1 more source
Subspace Acceleration for Efficient Nonlinear Water Wave Simulation
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen +3 more
wiley +1 more source
Dynamic Mode Decomposition (DMD) for Low-Latency Real-Time Cardiac MRI. [PDF]
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Yagiz E +5 more
europepmc +2 more sources

