Results 161 to 170 of about 2,608 (269)

An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots

Advanced Functional Materials, EarlyView.
This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese, Bokeon Kwak, Gaia de Marzo, Giulia Coco, Valentina Antonaci, Leonardo Lamanna, Massimo De Vittorio, Dario Floreano, Mario Caironi   +8 more
wiley   +1 more source

Spatial Autocorrelation Dimension (<i>D_i</i> ) for the Characterisation of Atrial Fibrillatory Dynamics. [PDF]

Arrhythm Electrophysiol Rev
Tiver KD, Dharmaprani D, Ganesan AN.
europepmc   +1 more source

An Electrowetting Pump

Advanced Functional Materials, EarlyView.
A tubular electrowetting pump moves alternating droplets through a millimeter‐wide channel in discrete, reversible steps, functioning as a fluidic stepper motor. With no moving parts and electrodes insulated from the liquid, it delivers silent, accurate flow. Flexibility allows the pump to be woven directly into textiles for wearable, medical, and soft‐
Robert Hennig, Herbert Shea
wiley   +1 more source

Ball bearing fault detection using an acoustic based machine learning approach. [PDF]

Sci Rep
Chandrakala CB, Karumanchi SS, Raghudathesh GP, Madhwesh N.   +3 more
europepmc   +1 more source

Spin Dynamics in the van der Waals Ferromagnet CrTe2 Engineered by Niobium Doping

Advanced Functional Materials, EarlyView.
Spin‐dynamic magnetic properties of van der Waals (vdW) ferromagnet 1T‐CrTe2 are tuned via niobium (Nb) as Cr1‐xNbxTe2 (x = 0–0.2). Nb doping enables wide‐band tuning of the resonance frequency from 40 GHz down to the few‐GHz regime, accompanied by a moderate increase in the Gilbert damping from ∼0.066 to ∼0.14.
Dhan Raj Lawati, Prem Bahadur Karki, Jitender Kumar, Karishma Prasad, Mohamed A. Elekhtiar, Kai Huang, Bibek Tiwari, Suvechhya Lamichhane, Rupak Timalsina, Zane Hubble, Ayodimeji E. Aregbesola, John Watt, Sy‐Hwang Liou, Evgeny Y. Tsymbal, Jian Wang, Kapildeb Ambal, Abdelghani Laraoui   +16 more
wiley   +1 more source

Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data. [PDF]

Front Hum Neurosci
Milyani AH, Attar ET.
europepmc   +1 more source

Bioprinting High‐Cell‐Density Cardiac Tissue Constructs With Sustained Contractile Function

Advanced Healthcare Materials, EarlyView.
Contractile cardiomyocytes in 3D culture provide insights into the behavior of the heart. Combining a 3D bioprinting approach with a multi‐electrode array allows the development of the 3D culture to be monitored over time, and matured cultures allow the effect of drugs on cardiac function to be modelled, replicating effects seen in clinical application.
Priscila Melo, Wing Tai Tung, Harvey Lewis, Kavin Hettiarachchilage, Babis Tzivelekis, Rolando Berlinguer‐Palmini, Ana Marina Ferreira, Jason Gill, Kenneth Dalgarno   +8 more
wiley   +1 more source

An effective hybrid method for the optimal control of fraud rumor propagation on online social networks. [PDF]

Sci Rep
Khanduzi R, Jajarmi A, Ebrahimzadeh A.
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

WTools: A MATLAB-based toolbox for time-frequency analysis of infant data. [PDF]

PLoS One
Ferrari A, Filippin L, Buiatti M, Parise E.   +3 more
europepmc   +1 more source