Results 51 to 60 of about 10,279 (105)
Semigroup models for biochemical reaction networks. [PDF]
Loutchko D.
europepmc +1 more source
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
An Euler system for GU(2, 1). [PDF]
Loeffler D, Skinner C, Zerbes SL.
europepmc +1 more source
Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur +3 more
wiley +1 more source
The local motivic DT/PT correspondence. [PDF]
Davison B, Ricolfi AT.
europepmc +1 more source
Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning
This graphical abstract illustrates the Topological Graph Neural Network (TopGNN) architecture. It demonstrates a parallel processing approach where an input graph is simultaneously analyzed by a standard GNN Encoder to capture local node features and by Persistent Homology to extract global topological features (like cycles and voids), visualized as a
Amarjeet +7 more
wiley +1 more source
The Rise of Human–Computer Integration in Marketing: A Theory Synthesis
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco +5 more
wiley +1 more source
In Vivo Imaging With a Low‐Cost MRI Scanner and Cloud Data Processing in Low‐Resource Settings
This study presented the system evolution at MUST: (a) Scanner after the initial assembly in 2023. (b) First reconstructed image (bell pepper). Front (c), rear (d), and global (e) views of the MUST scanner in the 2025 configuration, highlighting the improved electronics setup, RF coils, and mechanical integration.
Teresa Guallart‐Naval +18 more
wiley +1 more source
Abstract Diagnostic classification models (DCMs) assess students’ mastery of cognitive attributes to provide personalized ability profiles. Retrofitting DCMs to large‐scale mathematics assessments usually relies on inferred Q‐matrices, which can reduce accuracy and diagnostic value.
Farshad Effatpanah +4 more
wiley +1 more source

