Results 101 to 110 of about 50,925 (259)
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
Motion was found to induce significant variation in the luminescence intensity ratio of NIR‐emitting Tm3+‐doped NaYbF4 nanoparticles, which has been ascribed to the population dynamics of the Tm3+ ion's excited states. These findings provide the groundwork for the design of motion nanosensors that can operate in environments not accessible with UV–vis ...
York Estewin Serge‐Correales +4 more
wiley +1 more source
NIR I‐to‐NIR I Time‐Gated Luminescence Detection From Tm3+‐Doped Gd3TaO7 for Deep Tissue Imaging
A new generation of optical imaging (OI) using temporal resolution, exploring a NIR I‐to‐NIR I biological window emission by a Phonon Assisted Conversion (PAC) system singly doped with Tm3+ ions. Although still in early development, this approach opens new directions for designing optimized fluorophores to enhance bioimaging performance.
Fernanda H. Borges +5 more
wiley +1 more source
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Presenting an Educational Justice Model to Iran’s Education System
The purpose of this study was to present an educational justice model for education in Iran. The researchers used exploratory mixed methods. At first, by using inductive content analysis method, and on the basis of the entire field of research that was ...
Fatemeh Eslamiharandi +2 more
doaj
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 +5 more
wiley +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source

