Results 191 to 200 of about 1,209,275 (350)

Dataset for the assessment of presence and performance in an augmented reality environment for motor imitation learning: a case-study on violinists.

, 2023
Adriaan Campo, Aleksandra Michałko, Bavo Van Kerrebroeck, Marc Leman   +3 more
openalex   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Effects of self-control of feedback timing on motor learning. [PDF]

Front Psychol
Akizuki K, Takeuchi K, Yabuki J, Yamaguchi K, Yamamoto R, Kaneno T.   +5 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Motor learning mechanisms are not modified by feedback manipulations in a real-world task. [PDF]

NPJ Sci Learn
Nardi F, Faisal AA, Haar S.
europepmc   +1 more source

The relationship of gross motor and physical activity environments in child care settings with early learning outcomes

, 2018
Pooja S. Tandon, Nail Hassairi, Janet S. Soderberg, Gail E. Joseph   +3 more
openalex   +2 more sources

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

The interplay between haptic guidance and personality traits in robotic-assisted motor learning. [PDF]

J Neuroeng Rehabil
Garzás-Villar A, Boersma C, Derumigny A, Prendergast JM, Zgonnikov A, Cramm JM, Marchal-Crespo L.   +6 more
europepmc   +1 more source

Machine-Learning Classification of Motor Unit Types in the Adult Mouse

Martinez Silva, Maria de Lourdes, Ahorklo, Reuben, Reedich, Emily, Imhoff-Manuel, Rebecca, Katenka, Natallia, Manuel, Marin   +5 more
openalex   +1 more source