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
Maximum norm a posteriori error estimation for parabolic problems using elliptic reconstructions [PDF]
A semilinear second-order parabolic equation is considered in a regular and a singularly perturbed regime. For this equation, we give computable a posteriori error estimates in the maximum norm.
Linss, Torsten, Kopteva, Natalia
core +2 more sources
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
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
A hybrid physics–AI framework for dynamic pressure prediction in ammonia-based chemisorption systems
This study presents a hybrid physics–AI framework that integrates thermochemical simulation and neural network modeling to predict the dynamic pressure behavior in ammonia-based chemisorption systems using manganese chloride (MnCl₂) and strontium ...
Parsa Akhond Dezfouli +3 more
doaj +1 more source
Quasi-minimal Lorentz surfaces with pointwise 1-type Gauss map in pseudo-Euclidean 4-space
A Lorentz surface in the four-dimensional pseudo-Euclidean space with neutral metric is called quasi-minimal if its mean curvature vector is lightlike at each point. In the present paper we obtain the complete classification of quasi-minimal Lorentz surfaces with pointwise 1-type Gauss map.
Milousheva, Velichka +1 more
openaire +3 more sources
Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
Classification of Ruled Surfaces with Pointwise 1-Type Gauss Map in Minkowski 3-Space
We study the ruled surfaces in Minkowski 3-space with pointwise 1-type Gauss map. As a result, we introduce some new examples of the ruled surfaces with pointwise 1-type Gauss map in Minkowski 3-space.
Choi, Miekyung +2 more
openaire +2 more sources
Mitigating measurement error in misspecified small area models
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
Optimal Harvesting for Nonlinear Size-Structured Populations with Nonlocal Environmental Feedback
This paper investigates the optimal harvesting of a nonlinear, size-structured population governed by a first-order transport equation with nonlocal environmental crowding feedback and exogenous inflow.
Jie Cai +7 more
doaj +1 more source

