Results 51 to 60 of about 53,268 (175)
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti +2 more
wiley +1 more source
On computing local monodromy and the numerical local irreducible decomposition
Abstract Similarly to the global case, the local structure of a holomorphic subvariety at a given point is described by its local irreducible decomposition. Geometrically, the key requirement for obtaining a local irreducible decomposition is to compute the local monodromy action of a generic linear projection at the given point, which is always well ...
Parker B. Edwards +1 more
wiley +1 more source
Opening the Black Box of EU Digital Sovereignty: A Macro‐Level Analysis of the Concept's Development
ABSTRACT Digital sovereignty has emerged as a central organizing principle in European Union governance, yet systematic understanding of its conceptual evolution remains limited. This article provides the first macro‐level analysis of how digital sovereignty evolves across institutional and academic domains.
Aleksei Turobov +2 more
wiley +1 more source
ABSTRACT This study presents a novel Distributed Robust Adaptive Model Predictive Control (DRAMPC) for tracking in multi‐agent systems. The framework is designed to work with dynamically coupled subsystems and limited communication, which is restricted to local neighborhoods.
Fabio Faliero +2 more
wiley +1 more source
Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer
A finite‐time second‐order sliding mode observer (SO‐SMO) is proposed for accurate and robust state‐of‐charge estimation in lithium‐ion batteries, achieving fast convergence, chattering elimination, and superior estimation accuracy compared to conventional methods, making it ideal for real‐time battery management applications in electric and hybrid ...
Mohammad Asadi +5 more
wiley +1 more source
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta +2 more
wiley +1 more source
Abstract Process information collected from educational games can illuminate how students approach interactive tasks, complementing assessment outcomes routinely examined in evaluation studies. However, the two sources of information are historically analyzed and interpreted separately, and diagnostic process information is often underused.
Tianying Feng, Li Cai
wiley +1 more source
A Topic Testlet Model for Calibrating Testlet Constructed Responses
Abstract Constructed responses (CRs) within testlets are widely used to assess complex skills but can pose calibration challenges due to local item dependence. A few current testlet models incorporate testlet‐specific effects to address local dependence but struggle with interpreting these effects and may not fully capture the complexities of CR items ...
Jiawei Xiong +8 more
wiley +1 more source
Weather and Climate Extremes: Simplex, Dynamical Systems and Hull Clustering
Abstract A novel method is developed and applied to identify high‐dimensional weather and climate extremes located on the envelope of the data set within its state space. The method is based on formulating and integrating dynamical systems whose attractive set, that is, stable fixed points, is constituted of extreme states residing on the convex hull ...
A. Hannachi +6 more
wiley +1 more source

