Results 241 to 250 of about 27,263 (310)

Upcycling Compact Discs Into Ultra‐Stable, Flexible, and Stretchable Nanoporous Gold Electrodes for Enhanced Biosensing Performance

Advanced Materials Technologies, EarlyView.
This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

End-to-End Network Intrusion Detection Based on Contrastive Learning. [PDF]

Sensors (Basel)
Li L, Lu Y, Yang G, Yan X.
europepmc   +1 more source

Testing and Simulation of Multilayer Polyvinylidene Fluoride‐Based Piezoelectric Energy Harvester Devices

Advanced Materials Technologies, EarlyView.
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin, Silvia Monchetti, Paolo Emilio Puddu, Luciano Teresi, Antonio DeSimone, Roberto Brighenti   +5 more
wiley   +1 more source

SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare. [PDF]

PeerJ Comput Sci
Bensaid R, Labraoui N, Abba Ari AA, Saidi H, Mboussam Emati JH, Maglaras L.   +5 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. [PDF]

Sensors (Basel)
Strickland C, Zakar M, Saha C, Soltani Nejad S, Tasnim N, Lizotte DJ, Haque A.   +6 more
europepmc   +1 more source

On–Off Switchable Micromotors for Use in Steerable Microvehicles

Advanced Robotics Research, EarlyView.
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson, Eswaran Murugasen, Jose G. Martinez, Edwin W. H. Jager   +3 more
wiley   +1 more source

NIDS-FGPA: A federated learning network intrusion detection algorithm based on secure aggregation of gradient similarity models. [PDF]

PLoS One
Wang J, Yang K, Li M.
europepmc   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source