Results 241 to 250 of about 26,169,234 (336)

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Mathematical modeling of carbon dioxide emissions with GDP linkage: sensitivity analysis and optimal control strategy. [PDF]

Carbon Balance Manag
Liu H, Gangji Z, Wei Y, Ye J, Ma G.
europepmc   +1 more source

Galinstan Liquid Metal/Polyurethane Composite as a Multifunctional Stretchable Electrode and Piezoresistive Strain Sensor With Minimal Drift

Advanced Materials Technologies, EarlyView.
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak, Neeraj Kumar, Toby Hallam, Shayan Seyedin   +3 more
wiley   +1 more source

Impact of mild hyperthermia on tumor-immune dynamics explored through mathematical modeling. [PDF]

Sci Rep
Barrera-León AS, Rodríguez-Quiñones L, De Mendoza AM.   +2 more
europepmc   +1 more source

Stress‐Normalized Sensitivity as a Comparative Benchmark for Intrinsically Piezoresistive Nanocomposite Materials in Wearable Electronics

Advanced Materials Technologies, EarlyView.
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley   +1 more source

Mathematical modeling of dopamine rhythms and timing of dopamine reuptake inhibitors. [PDF]

PLoS Comput Biol
Yao T, Kim R.
europepmc   +1 more source

Mathematical Modelling

Applied Mathematical Modelling, 1977
openaire   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Mathematical modeling of heart rate tracking in motion affected PPG signals. [PDF]

Sci Rep
Ismail S, Usman Akram M, Siddiqi I, Alghamdi NS.   +3 more
europepmc   +1 more source

Strong Plasmon–Exciton Coupling Tuned by Corner Etching of Gold Nanocubes and Nanotriangles

Advanced Optical Materials, EarlyView.
Systematic etching of gold nanocubes (AuNCs) and nanotriangles (AuNTs) reveals how nanoparticle morphology governs plasmon–exciton strong coupling. While rounding the corners of AuNCs weakens their coupling, triangular geometries robustly preserve deep strong coupling.
Jiyeon Lee, Seoyoung Hwang, Yoon‐Min Lee, Jeong‐Eun Park, Sangwoon Yoon   +4 more
wiley   +1 more source