Results 131 to 140 of about 6,628 (246)
Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley +1 more source
Proper Orthogonal Decomposition and Spectral Analysis of a Wall-Mounted Square Cylinder Wake
The flow patterns over a finite square cylinder of aspect ratio of 3 were analyzed experimentally in a subsonic wind tunnel using the time-resolved particle image velocimetry (TR - PIV) techniques.
Henrique Fanini Leite +4 more
doaj
Ferroptosis is governed by the balance between reactive oxygen species (ROS)‐driven lipid peroxidation and a multi‐tiered antioxidant network. ROS sources include mitochondrial electron transport chain, voltage‐dependent anion channels, NADPH oxidases, and endoplasmic reticulum‐resident oxidoreductases, while antioxidant defenses span the primary GSH ...
Deepak K +5 more
wiley +1 more source
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe +4 more
wiley +1 more source
Structure identification in pipe flow using proper orthogonal decomposition. [PDF]
Hellström LH, Smits AJ.
europepmc +1 more source
ABSTRACT This study proposes a novel geometrically regularized gradient‐damage model for simulating dynamic mixed‐mode fracture in orthotropic materials with tension–compression asymmetry. In this model, a thermodynamic framework is formulated by incorporating damage dissipation into internal energy evolution, from which the constitutive relation and ...
Hui Li, Shanyong Wang
wiley +1 more source
Use of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms. [PDF]
Rajhi W +7 more
europepmc +1 more source
Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression. [PDF]
Bakhshinejad A +5 more
europepmc +1 more source
Abstract Accurate identification of epitope residues is essential for developing biopharmaceuticals and understanding the mechanisms of immune recognition. However, experimental approaches for residue‐level epitope mapping remain time‐consuming and labor‐intensive, while accurate computational prediction of protein–protein interfaces remains ...
Kihoon Kim +4 more
wiley +1 more source

