Comparison of modelling approaches for liquid fluidized beds
Abstract This study presents a comparison of three promising numerical models for the detailed simulation of liquid–solid fluidized bed. These models differ in their treatment of the solid phase, ranging from treating each particle individually to treating the collection of particles as a continuum.
Andreu Bernad‐Serra +3 more
wiley +1 more source
The Association Between Soil Sampling and Bait Traps in Wireworm Monitoring: A Methodological and Statistical Approach. [PDF]
Furlan L +5 more
europepmc +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Assessment of Machine Learning Model Performance for Clinical Prediction of Insulin Resistance in the Study of Cardiovascular Risk in Adolescents-ERICA. [PDF]
Silva JA +3 more
europepmc +1 more source
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Social and environmental determinants of Neglected infectious diseases in quilombola communities of the Brazilian Amazon: An epidemiological and machine learning analysis. [PDF]
Fernandes da Silva EM +14 more
europepmc +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia. [PDF]
Al-Hussein F +3 more
europepmc +1 more source
ABSTRACT Cells sense the stiffness of their extracellular matrix (ECM) and adapt their behavior accordingly. We investigated how ECM stiffness affects the spatial organization of talin1, a key mechanosensitive focal adhesion protein. Using polyacrylamide (PA) hydrogels with tunable stiffnesses (0.2–188 kPa), we analyzed cell morphology, migration ...
Joanna Hajduk +5 more
wiley +1 more source
Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects. [PDF]
Salim I, Okasha N, Barbary M, Anis W.
europepmc +1 more source

