Results 161 to 170 of about 5,293,615 (325)

Improving Post‐Fall Assessment Documentation in Older Inpatients Using a Structured Falls Proforma: A Retrospective Cohort Study

AGING MEDICINE, EarlyView.
Falls among hospital inpatients are associated with significant morbidity and require comprehensive post‐fall assessment. This retrospective cohort study evaluated documentation completeness following inpatient falls in older adults and compared assessments completed using a structured Falls Proforma with standard documentation methods.
Ella V. Brockwell‐Mole, Dujinthan Jayabalan, Su Kitchen, Minoti Bhagat   +3 more
wiley   +1 more source

[Influence of temporal aspects in auditory temporal processing tests].

Pro-fono : revista de atualizacao cientifica, 2008
Auditory temporal processing.To compare the performance of children in auditory temporal processing tests according to different temporal variables such as inter-stimulus interval, stimuli duration and type of task (discrimination or ordering).27 children, with ages between 9 to 12 years, were evaluated.
Cristina Ferraz Borges, Murphy, Eliane, Schochat   +1 more
openaire   +1 more source

Auditory graphs: The effects of redundant dimensions and divided attention

, 2005
Presented at the 11th International Conference on Auditory Display (ICAD2005)Presented at the 11th International Conference on Auditory Display (ICAD2005)An experiment is presented comparing the effectiveness of three parameters of sound for the auditory
Peres, S Camille, Lane, David M
core  

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Independent component analysis and source analysis of auditory evoked potentials for assessment of cochlear implant users

, 2009
Source analysis of the Auditory Evoked Potential (AEP) has been used before to evaluate the maturation of the auditory system in both adult and children; in the same way, this technique could be applied to ongoing EEG recordings, in response to acoustic ...
Castaneda-Villa, N.
core   +1 more source

Perception-based simplification for binaural room auralisation

, 2006
Presented at the 12th International Conference on Auditory Display (ICAD), London, UK, June 20-23, 2006.Presented at the 12th International Conference on Auditory Display (ICAD), London, UK, June 20-23, 2006.Room auralisation refers to the process by ...
Hacihabiboglu, H., Murtagh, F.
core  

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source