Results 251 to 260 of about 18,647 (309)

Establishing Norms of Connected Speech Measures for Story-Telling in Cantonese-Speaking Adults. [PDF]

Int J Lang Commun Disord
Kong AP, Wong CW, Cheung CY.
europepmc   +1 more source

Coupling of Er3+ ions and Plasmonic Modes in Vertical Nanocavities for Spectral Broadening in Telecom Bands

Advanced Materials Technologies, EarlyView.
Left: Illustration of the glass & nanostructures system and the NIR emission at 1.5 µm, where the colored spheres represent the Er3+ ions within the doped glass. Right: Representation of the Stark splitting of the 4I13/2 and 4I15/2 manifolds of the Er3+, illustrating how the plasmonic modes facilitate the emission from the broader Stark manifold ...
Gaston Lozano Calderón, Víctor Anthony García Rivera, Stéphan Cagnon, Souleymane Toubou Bah, Younès Messaddeq, Euclydes Marega Junior   +5 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Broadband Directional Thermal Radiation with Asymmetric Femtosecond Laser‐Processed Surfaces

Advanced Optical Materials, EarlyView.
Femtosecond laser processing is used to scalably create self‐organized angled microstructures which exhibit highly directional emissivity that occurs for all polarizations. Laser parameters are tuned to alter the surface features, control the direction of emission, and enhance the directional emissivity. Electromagnetic modeling is performed to analyze
Andrew Butler, Andrew Reicks, Jack Schulz, Patrick Hayden, Alireza Kalantari Dehaghi, Kira Marr, Linxiao Zhu, Christos Argyropoulos, Craig Zuhlke   +8 more
wiley   +1 more source

How Templatic Is Arabic Input to Children? The Role of Child-Directed-Speech in the Acquisition of Semitic Morpho-Phonology. [PDF]

Lang Speech
Khattab G, Keren-Portnoy T.
europepmc   +1 more source

The Perfect Storm

Journal of the California Dental Association, 2014
openaire   +2 more sources

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Morphosyntactic Abilities and Cognitive Performance in Multiple Sclerosis. [PDF]

Brain Sci
Grigoriadis P, Bakirtzis C, Nteli E, Boziki MK, Kotoumpa M, Theotokis P, Kesidou E, Stavrakaki S.   +7 more
europepmc   +1 more source

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source