Stability analysis and prediction of hazardous rock mass in cold regions based on hybrid algorithm model. [PDF]
Liu X, Liu Q, Guo H, Sun J.
europepmc +1 more source
Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger +7 more
wiley +1 more source
Parameter estimation of hyper-spherical diffusion models with a time-dependent threshold: An integral equation method. [PDF]
Hadian Rasanan AH +3 more
europepmc +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
A Review: Construction of Statistical Distributions. [PDF]
Fang KT, Lin YX, Deng YH.
europepmc +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
A Variable Horizon Model Predictive Control for Magnetorheological Semi-Active Suspension with Air Springs. [PDF]
Li G +6 more
europepmc +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
The Information Dynamics of Generative Diffusion. [PDF]
Stančević D, Ambrogioni L.
europepmc +1 more source
ABSTRACT This study draws on neo‐institutional theory, stakeholder theory, and the resource‐based view to examine the relationship between the use of Life Cycle Analysis (LCA) and firms' Environmental Performance (EP). Focusing on French companies listed on the SBF 120 index from 2002 to 2021, it investigates how LCA adoption influences EP across three
Nesrine Ben Ismail, Sami Ben Larbi
wiley +1 more source

