Results 51 to 60 of about 10,279 (105)

In silico modelling of multi‐electrode arrays for enhancing cardiac drug testing on hiPSC‐CM heterogeneous tissues

open access: yesThe Journal of Physiology, EarlyView.
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]

open access: yesMath Ann, 2022
Loeffler D, Skinner C, Zerbes SL.
europepmc   +1 more source

Monitoring and control of a continuous, integrated filtration‐drying system with in‐line mass spectrometry via PharmaPy

open access: yesAIChE Journal, Volume 72, Issue 6, June 2026.
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]

open access: yesJ Lond Math Soc, 2021
Davison B, Ricolfi AT.
europepmc   +1 more source

Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
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

open access: yesPsychology &Marketing, Volume 43, Issue 6, Page 1343-1380, June 2026.
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

open access: yesNMR in Biomedicine, Volume 39, Issue 6, June 2026.
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

Optimizing Large‐Scale Mathematical Assessments: Leveraging Hierarchical Attribute Structures and Diagnostic Classification Models for Enhanced Student Diagnostics

open access: yesEducational Measurement: Issues and Practice, Volume 45, Issue 2, Summer 2026.
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

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