Results 161 to 170 of about 365,256 (207)

A Real‐Time Digital Twin for Human Cardiovascular Applications

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 9, September 2026.
A real‐time digital twin was developed using the reduced‐order unscented Kalman filter (ROUKF) to estimate left ventricular contractility from synthetic and in vivo left ventricular pressure measurement data. The results were promising, with identifiable parameter estimates and a stable mathematical model, highlighting the potential for real‐time ...
S. C. Snijders, M. C. M. Rutten, J. E. M. Sels, W. A. L. Tonino, W. Huberts   +4 more
wiley   +1 more source

Evaluating Rapid Extraction Methods for Recovering Ancient DNA From Archaeological Sediments

Environmental DNA, Volume 8, Issue 5, September‐October 2026.
A modified Amicon‐based rapid DNA extraction protocol outperformed other rapid methods, recovering short DNA fragments from mock sediments within ~3 h. Application to archaeological sediments successfully recovered amplifiable DNA from ancient taxa. This rapid, portable, non‐hazardous approach establishes a premise for more informed sampling in time ...
Nihan Dilşad Dağtaş, Azhar Jabareen, Krzysztof Cyrek, Maciej T. Krajcarz, Magdalena Krajcarz, Manuel Ángel Rojo‐Guerra, Policarpo Sánchez‐Yustos, Magdalena Sudoł‐Procyk, Shmuel Safra, Viviane Slon   +9 more
wiley   +1 more source

Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling

Electroanalysis, Volume 38, Issue 9, September 2026.
The oxygen reduction reaction (ORR) at the proton exchange membrane fuel cells (PEMFC) cathode suffers from sluggish kinetics, high platinum loading requirements, and progressive catalyst degradation. This review examines how artificial intelligence (AI) and machine learning (ML) are reshaping the discovery and durability assessment of ORR ...
Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen   +4 more
wiley   +1 more source

Microscale FFT‐based modeling of artificial porous microstructures and analysis of macroscopic models under varying loading scenarios

GAMM-Mitteilungen, Volume 49, Issue 3, September 2026.
Abstract This article investigates the modeling of metallic isotropic porous materials by evaluating and comparing macroscopic and microstructure‐resolved simulation approaches. At the macroscopic level, different variants of the Deshpande‐Fleck (DF) model are implemented to describe the elastoplastic behavior of metallic porous materials.
Julian Dahler, Sarah Staub, Lisa Scheunemann   +2 more
wiley   +1 more source

Musical Chemistry and Spectroscopy: Analogies Bridging Two Worlds in Multiple Dimensions

Helvetica Chimica Acta, Volume 109, Issue 9, September 2026.
Music and spectroscopy speak the same language: that of fluctuations, line shapes, and ensembles. Herein, we establish useful analogies between music, chemistry, and spectroscopy, extending even to multidimensional and time‐resolved spectroscopies, with a mathematically‐grounded derivation and motivation.
Ricardo J. Fernández‐Terán
wiley   +1 more source

Ferroelectricity and Ferroionic Dynamics in Two‐Dimensional CuInP2S6

Information &Functional Materials, Volume 3, Issue 3, Page 233-267, September 2026.
The coupled dynamics of ferroelectric polarization and Cu‐ion migration endow CuInP2S6 with unique ferroionic functionalities. This review connects structure, switching mechanisms, and device applications to provide a unified perspective on two‐dimensional ferroionic materials.
Shangsheng Li, Shiyu Wang, Xiongfeng Wang, Qinglin Du, Ruochen Shangguan, Guoqiang Xi, Lin Wang, Wugang Liao   +7 more
wiley   +1 more source

Microbiome‐mediated plant‐soil feedbacks as a tool for resilient agriculture

iMetaOmics, Volume 3, Issue 3, September 2026.
Translating plant‐soil feedbacks (PSFs) into reliable agricultural management requires shifting from input‐dependent practices toward endogenous, process‐driven crop resilience. To bridge this gap, we propose a predictive framework centered on three strategic interventions: engineering the crop holobiont, diversifying the soil habitat, and deploying ...
Muhammad Asif, Hazrat Bilal, Min Xiao, Lei Dong, Wen‐Jun Li   +4 more
wiley   +1 more source

Host‐to‐Pathogen Transfer of Neutrophil Components via Extracellular Vesicles Shields Candida albicans From Immune Attack in Human Blood

Journal of Extracellular Vesicles, Volume 15, Issue 9, September 2026.
Neutrophils release extracellular vesicles (EVs) in response to Candida albicans, and these EVs bind to the fungus in a complement‐dependent manner while carrying neutrophil surface markers and antimicrobial proteins. Despite this cargo, EV coating does not inhibit fungal growth but markedly reduces neutrophil phagocytic uptake in purified‐cell assays ...
Jennifer J. Patitz, Natalie E. Nieuwenhuizen, Anastasia Solomatina, Yann Bachelot, Thomas Krüger, Carl‐Magnus Svensson, Stephanie Hoeppener, Ann‐Kathrin Zimmermann, Matthew G. Blango, Ronny Martin, Olaf Kniemeyer, Theresa Lange, Axel A. Brakhage, Marc Thilo Figge, Oliver Kurzai, Kerstin Hünniger‐Ast   +15 more
wiley   +1 more source

Mechanical Properties and Testing Strategies for Two‐Photon Lithography: A Review of Current Practices and Emerging Challenges

Laser &Photonics Reviews, Volume 20, Issue 17, 3 September 2026.
Two‐photon lithography enables the fabrication of complex 3D microstructures with tunable mechanical properties spanning from soft hydrogels to rigid hybrid networks. This review summarizes how material composition, printing parameters, and post‐processing govern stiffness and viscoelasticity, highlighting advanced characterization methods and emerging
Dalila Fontana, Edoardo Rossi, Marco Sebastiani, Edoardo Bemporad, Angelo Accardo, Alberto Rainer, Enrico D. Lemma   +6 more
wiley   +1 more source

Ultimate Boundedness of Stochastic Neural Networks with Delays

Advanced Materials Research, 2011
Although ultimate boundedness of several classes of neural networks with constant delays was studied by some researchers, the inherent randomness associated with signal transmission was not taken account into these networks. At present, few authors study ultimate boundedness of stochastic neural networks and no related papers are reported.
Li Wan, Qing Hua Zhou
openaire   +2 more sources