Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method. [PDF]
Zhong H, Shuai L, Deng D.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Solving perfect matchings by frequency-grouped multi-photon events using a silicon chip. [PDF]
Zhu P +8 more
europepmc +1 more source
Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang +11 more
wiley +1 more source
Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review. [PDF]
Tan S +7 more
europepmc +1 more source
A two‐step fabrication strategy combines electrospinning with electrophoretic deposition of carbon nanotubes to produce conductive, porous PVDF fiber mats. These flexible composites serve as multifunctional sensors, capable of detecting pressure, motion, respiration, and temperature.
Michał Kopacz +7 more
wiley +1 more source
A model of mobile robots in networks with resolvability properties. [PDF]
Camacho Campos C +4 more
europepmc +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks. [PDF]
Liu S +10 more
europepmc +1 more source
Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva +6 more
wiley +1 more source

