A Method for Oscillation‐Free Dynamic IR Compensation During Potentiostatic Electrolyses
This work introduces a simple, fully adaptive IR compensation method using commonly used (Metrohm Autolab PGSTAT) potentiostats, ensuring accurate potential control even under high‐current conditions when the solution resistance is dynamically changing.
Nandu Ashtaman‐Pillai Syamaladevi +5 more
wiley +1 more source
Micropatterned Surfaces with Unidirectional Wetting Properties for Liquid Transport
Micropatterned surfaces that guide droplets in a single direction are gaining attention for their role in liquid transport. This review explores how surface designs enable such behavior, from gravity‐driven flow to stimulus‐responsive movement. It also discusses fabrication techniques, design challenges, and emerging strategies to advance directional ...
Elham Lori Zoudani +5 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism
ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley +1 more source
Mesh‐Based Charge Simulation Method and Its Applications to Electrostatic Electric Field Computation
ABSTRACT The charge simulation method (CSM) is a well‐established numerical technique employed in electrostatic field calculations, primarily due to its simplicity and computational efficiency. However, conventional CSM face challenges when applied to complex geometries, as they necessitate meticulous manual placement of simulation charges and matching
Tahan Wang +5 more
wiley +1 more source
Abstract Passive acoustic monitoring (PAM) has been used to estimate the presence and spatial distribution of target organisms using biological sounds received by microphones. Due to its cost‐effectiveness and non‐invasiveness, PAM is becoming a promising approach for studying the spatiotemporal dynamics of large groups in response to environmental ...
Keisuke Ota +3 more
wiley +1 more source
Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das +4 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Erythrocyte ‘Feierzeit’ reaction: Novel filamentous and vesicular response to n‐butyl acetate
Abstract Human erythrocytes (red blood cells; RBCs) undergo spontaneous disassembly after several hours of exposure to n‐butyl acetate (nBA). Images of the morphological changes were captured in time‐lapse sequences using differential interference contrast (DIC) light microscopy.
Philip W. Kuchel
wiley +1 more source
Markov Determinantal Point Process for Dynamic Random Sets
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source

