Results 241 to 250 of about 128,037 (313)

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

A Modified Artificial Protozoa Optimizer for Robust Parameter Identification in Nonlinear Dynamic Systems. [PDF]

open access: yesBiomimetics (Basel)
Izci D   +6 more
europepmc   +1 more source

Tunable Extraordinary Optical Transmission in the Long‐Wavelength Infrared Range Using Electrostatic MEMS Actuation

open access: yesAdvanced Materials Technologies, EarlyView.
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik   +6 more
wiley   +1 more source

Reconnaissance Peptide Labeling Grain Boundary of Chemically Grown MoS2 Polycrystalline Monolayer

open access: yesAdvanced Materials Technologies, EarlyView.
Self‐assembled peptides on substrates, through adsorption and aggregation, offer an alternative way to label grain boundaries in chemically grown single‐layer polycrystalline MoS2. During an early nucleation step, peptides preferentially bind to grain boundaries.
Linhao Sun, Jinhua Hu
wiley   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

open access: yesAdvanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen   +3 more
wiley   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Machine-Learning-Assisted Carbon Dots: From Algorithms to Applications and Beyond. [PDF]

open access: yesMolecules
Jia F   +7 more
europepmc   +1 more source

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