Results 171 to 180 of about 6,755,457 (299)

Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization. [PDF]

Nanoscale Adv
Kreuz S, Apeleo Zubiri B, Englisch S, Buwen M, Kang SG, Ramachandramoorthy R, Spiecker E, Liers F, Rolfes J.   +8 more
europepmc   +1 more source

Read-across predictions of nanoparticle hazard endpoints: a mathematical optimization approach. [PDF]

Nanoscale Adv, 2019
Varsou DD, Afantitis A, Melagraki G, Sarimveis H.   +3 more
europepmc   +1 more source

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

Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks

Computers & Operations Research, 2018

semanticscholar   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +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 Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic Containment. [PDF]

Vaccines (Basel)
González-Sánchez ÓA, Zaldívar D, Cuevas E, González-Ortiz LJ.   +3 more
europepmc   +1 more source

Mathematical optimization of the green extraction of polyphenols from grape peels through a cyclic pressurization process. [PDF]

Heliyon, 2019
Gallo M, Formato A, Giacco R, Riccardi G, Lungo D, Formato G, Amoresano A, Naviglio D.   +7 more
europepmc   +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

Corrigendum to "Mathematical optimization of the green extraction of polyphenols from grape peels through a cyclic pressurization process" [Heliyon 5 (4) (April 2019) e01526]. [PDF]

Heliyon, 2019
Gallo M, Formato A, Giacco R, Riccardi G, Luongo D, Formato G, Amoresano A, Naviglio D.   +7 more
europepmc   +1 more source