Results 221 to 230 of about 149,554 (331)

Infant behavioural assessment and intervention program to support neurodevelopmental outcome of very preterm infants at two years corrected age: a cluster randomised controlled trial study protocol. [PDF]

BMJ Open
Smith M, Kuhn P, Thiriez G, Debillon T, Datin-Dorrière V, Leboucher B, Mitanchez D, Courtois-Communier E, Sizun J, Roué JM.   +9 more
europepmc   +1 more source

An Enhanced Authenticated Key Agreement for Session Initiation Protocol

, 2013
Mohammad Sabzinejad Farash, Mahmoud Ahmadian Attari   +1 more
openalex   +2 more sources

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

Exploring Skill Generalization with an Extra Robotic Arm for Motor Augmentation

Advanced Intelligent Systems, EarlyView.
Extra robotic arms promise to augment human motor functions during multitasking. Herein, diaphragmatic‐controlled extra robotic arm (XRA) is investigated, demonstrating significant performance improvements—true functional augmentation—in trimanual tasks. However, limited generalization to tasks requiring fine motor skills is identified.
Daniel Leal Pinheiro, Giulia Dominijanni, Francesca Paola Maenza, Hugo Dirat, Solaiman Shokur, Silvestro Micera   +5 more
wiley   +1 more source

A Soft Pneumatic Exosuit to Assist Pronosupination in Individuals with Spinal Cord Injury

Advanced Intelligent Systems, EarlyView.
A lightweight (30 g) textile‐based pneumatic exosuit assists forearm pronosupination in individuals with cervical spinal cord injury. The soft robot enhances forearm range of motion and reduces muscle effort without hindering hand function. Tested in 10 patients during an interactive exergame, it improves motor performance and demonstrates promise for ...
Roberto Ferroni, Gaetano D’Avola, Daniele Filippo Mauceri, Chiara Pau, Giorgia Sciarrone, Gabriele Righi, Jacopo Carpaneto, Marta Gandolla, Giulio Del Popolo, Silvestro Micera, Tommaso Proietti   +10 more
wiley   +1 more source

Electronic‐Free Particle Robots Communicate through Architected Tentacles

Advanced Intelligent Systems, EarlyView.
This work introduces a new class of particle robots that communicate without any electronic components. Their communication protocols are encoded in the geometry of their tentacles are and realized solely through physical contact. Building on these simple communication schemes, electronic‐free particle robots can achieve a range of collective ...
Xinyi Yang, Bohan Wang, Víctor Riera Naranjo, Minghao Guo, Olivia Rivera, Leonid Sopizhenko, Shucong Li, William Freeman, Wojciech Matusik, Bolei Deng   +9 more
wiley   +1 more source

An Ultrathin and Lightweight Soft Inflatable Actuator for Natural Tactile Sensory Feedback

Advanced Intelligent Systems, EarlyView.
A lightweight, ultrathin soft actuator mimics natural touch by delivering strong, multimodal haptic feedback through pressure and vibration. Tested on both able‐bodied individuals and amputees, it achieves high sensory precision in a compact form. Its simplicity, power, and adaptability hint at transformative applications in prosthetics, immersive ...
Hanna Scherer, Francesco Iberite, Giulia Caserta, Nicolo Boccardo, Jacopo Carpaneto, Emanuele Gruppioni, Silvestro Micera, Tommaso Proietti   +7 more
wiley   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

Advanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

Engaging and strengthening youth through international community‐based research: Implementation and evaluation of an International Youth Advisory Board

American Journal of Community Psychology, EarlyView.
Abstract Youth advisory boards are ubiquitous in community‐based research, yet there is limited description of their development or direct benefits to participants within international research contexts. This convergent mixed‐method study describes and evaluates the design and implementation of a bilingual International Youth Advisory Board (IYAB) of ...
Shelley L. Craig, Ashley S. Brooks, Gabriel Soto Cristobal, Jenny Hui, Hayley Pelletier, Rachael Pascoe, Lenin Zamorano, The INQYR International Youth Advisory Board   +7 more
wiley   +1 more source