Results 91 to 100 of about 17,332 (263)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

The density, compression strength and surface hardness of heat treated hornbeam (Carpinus betulus ) wood

Maderas: Ciencia y Tecnología, 2014
The heat treatment of wood is an environment-friendly method for wood preservation. The heat treatment process only uses steam and heat, and no chemicals or agents are applied to the material during the process. Tests have shown no harmful emissions are
Gokhan Gunduz, Suleyman Korkut, Deniz Aydemir, Ílter Bekar   +3 more
doaj  

A Brain‐Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior

Advanced Science, EarlyView.
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis, Stefan Stojilkovic, Kai‐Yi Wang, Cristina Márquez, Annabel C. Kleinwächter, Angel Baudon, Yuval Podpecan, Aurélia Ces, Mélanie Kremer, Isabelle Arnoux, Nathalie Rouach, Jemima Helen, Sophie Trender, Andreas Wallkum, Selina Wunsch, Franziska Schommer, Moritz C. Wimmer, Tim Schubert, Felix Franke, Jabir Aliyu Muhammad, Eva M. Eisemann, Ingrid Camila Possa‐Paranhos, Cassandra Baumann, Pierre‐Alexis Derrien, Quirin Krabichler, Cosmo Garcia, Henning Fröhlich, Matthew K. Kirchner, Valery Grinevich, Pascal Darbon, Javier E. Stern, Ferdinand Althammer, Alexandre Charlet   +32 more
wiley   +1 more source

THE DENSITY, COMPRESSION STRENGTH AND SURFACE HARDNESS OF HEAT TREATED HORNBEAM (Carpinus betulus L.) WOOD

Maderas: Ciencia y Tecnología, 2009
The heat treatment of wood is an environment-friendly method for wood preservation. The heat treatment process only uses steam and heat, and no chemicals or agents are applied to the material during the process.
Gokhan Gunduz, Suleyman Korkut, Deniz Aydemir, Ilter Bekar   +3 more
doaj  

Roller Compression of Wood

Mokuzai Gakkaishi, 2005
INOUE, Masafumi, ADACHI, Koji, OMAE, Kosuke, KOHARA, Mitsuhiro, KANAYAMA, Kozo   +4 more
openaire   +2 more sources

Frustrated Lewis Pairs and Metallic Ni Synergistically Enabled Low‐Temperature Hydrogenolysis of Lignin Models

Advanced Science, EarlyView.
Nickel–aluminum composite oxide (NiAlOx‐300) derived from NiAl layered double hydroxide showed high activity for hydrogenolysis of various lignin models. Especially, hydrogenolysis of benzyl phenyl ether could be efficiently proceeded at 20°C and 1 MPa H2.
Jinpeng Liang, Ziyi Ma, Zhaoxi Cai, Kongqian Liang, Chenglei Xiao, Sitong Chen, Na Wang, Zhimin Xue, Chao Xie, Jinliang Song   +9 more
wiley   +1 more source

Experimental study on the characteristic values of partial compression perpendicular to the grain of hardwood with edge distance parallel and perpendicular to the grain

Journal of Wood Science
Some hardwoods have a higher density and superior structural performance than softwoods, which are generally used as construction materials in buildings. Therefore, the characteristics of hardwoods are advantageous in their use for wooden joints. However,
Hiroto Suesada, Kohta Miyamoto
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Shrinkage effect on radial and tangential direction stresses in cylindrical wood pieces of Pinus taeda

Maderas: Ciencia y Tecnología
Shrinkage is a key factor in generating internal stresses and deformations within wood structures, especially due to the anisotropic nature of wood, which causes direction-dependent stress responses and must be considered to accurately predict the ...
Nilson Tadeu Mascia
doaj   +1 more source