Results 101 to 110 of about 12,301 (257)

Gold Nanorods in Cardiac Millitissues: Assessing Mechanical and Contractile Dynamics in a Living Engineering Myocardium Model

Advanced Materials Technologies, EarlyView.
This study presents a novel platform for assessing the active mechanical behavior of living cardiac microbundles through localized nanoindentation, integrated with temperature regulation and dual‐camera imaging systems. The developed system enables quantitative evaluation of dynamic micromechanics in engineered cardiac tissues in vitro, offering ...
Lihua Lou, Lia Paolino, Alberto Sesena Rubfiaro, Jin He, Arvind Agarwal   +4 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

ISR: Invertible Symbolic Regression

We introduce an Invertible Symbolic Regression (ISR) method. It is a machine learning technique that generates analytical relationships between inputs and outputs of a given dataset via invertible maps (or architectures). The proposed ISR method naturally combines the principles of Invertible Neural Networks (INNs) and Equation Learner (EQL), a neural ...
Tohme, Tony, Khojasteh, Mohammad Javad, Sadr, Mohsen, Meyer, Florian, Youcef-Toumi, Kamal   +4 more
openaire   +2 more sources

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

Advanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao, Mitsuhiro Kamezaki, Ryosuke Dobashi, Yuhiro Iwamoto, Yasushi Ido, Yoshihiro Kawahara   +5 more
wiley   +1 more source

Engineered Living Systems With Self‐Organizing Neural Networks: From Anatomy to Behavior and Gene Expression

Advanced Science, EarlyView.
Ectodermal tissue excised from Xenopus embryos self‐organizes into a three‐dimensional mucociliary organoid. Here, we generate a neural variant, termed neurobot, by implanting neural precursor cells. Neurobots develop mature neurons, adopt distinct morphologies, exhibit more complex motility, and respond differentially to neuroactive compounds. Imaging
Haleh Fotowat, Laurie O'Neill, Léo Pio‐Lopez, Megan M. Sperry, Patrick Erickson, Tiffany Lin, Michael Levin   +6 more
wiley   +1 more source

SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression

Machine Learning: Science and Technology
Compact symbolic expressions have been shown to be more efficient than neural network (NN) models in terms of resource consumption and inference speed when implemented on custom hardware such as field-programmable gate arrays (FPGAs), while maintaining ...
Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris   +3 more
doaj   +1 more source

Electrical Control of the Transduction Channels’ Gating Force in Mechanosensory Hair Cells

Advanced Science, EarlyView.
The inner ear's hair cells rely on mechanosensitive ion channels to convert vibrations of their hair‐bundle into electrical signals. We show that varying the electrical potential (U) across the sensory epithelium modulates a key determinant of mechanosensitivity—the gating force (FG)—by modulating the gating swing (d), ranging from the size of the ...
Achille Joliot, Laure Stickel, Pascal Martin   +2 more
wiley   +1 more source

p16Ink4a‐Positive Hepatocytes Drive Liver Fibrosis Through Activation of LIFR Family Pathway

Advanced Science, EarlyView.
This study found that, following the long‐term CCl4 treatment, p16high hepatocytes appeared in zone 3, spatially co‐localizing with fibrotic areas. A specific cluster of p16high hepatocytes upregulated CTF1/LIF expression which induced HSC activation and further liver fibrosis, as revealed by single cell transcriptomic analysis.
Koji Nishikawa, Teh‐Wei Wang, Satoshi Kawakami, Shota Tanimoto, Kiyoshi Yamaguchi, Taketomo Kido, Masamichi Kimura, Tsunekazu Hishima, Yuki T. Okamura, Satotaka Omori, Takumi Iritani, Toshikaze Chiba, Takehiro Jimbo, Michio Katano, Kansuporn Kamataki, Ryoichi Yokoyama, Eigo Shimizu, Kiminori Kimura, Satoshi Yamzaki, Seiya Imoto, Yoichi Furukawa, Atsushi Miyajima, Yoshikazu Johmura, Makoto Nakanishi   +23 more
wiley   +1 more source

Exploring Symbolic Regression and Genetic Algorithms for Astronomical Object Classification

The Open Journal of Astrophysics
This study explores the use of symbolic regression (SR) combined with genetic algorithms (GA) to classify astronomical objects. Using the SDSS17 dataset from Kaggle, which includes 100,000 observations of stars, galaxies, and quasars, we applied SR to 10%
Fabio Ricardo Llorella, José Antonio Cebrian   +1 more
doaj   +1 more source