Results 71 to 80 of about 816,227 (284)

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

How transcranial direct current stimulation can modulate implicit motor sequence learning and consolidation: A brief review

Frontiers in Human Neuroscience, 2016
The purpose of this review is to investigate how transcranial direct current stimulation (tDCS) can modulate implicit motor sequence learning and consolidation.
Branislav eSavic, Branislav eSavic, Beat eMeier, Beat eMeier   +3 more
doaj   +1 more source

Effect of implicit training on the processing of morphosyntactic violations by French learners of English. [PDF]

, 2016
International audienceImplicit grammar learning with semi-artificial languages has shown that it is possible to learn novel grammatical structures implicitly and that this can lead to both explicit and implicit knowledge. Can these results be extended to
Ferragne, Emmanuel, Krzonowski, Jennifer, Pélissier, Maud   +2 more
core   +2 more sources

Implicit Discourse Relation Classification via Multi-Task Neural Networks

, 2016
Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser.
Li, Sujian, Liu, Yang, Sui, Zhifang, Zhang, Xiaodong   +3 more
core   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Unified framework for quantum classification

Physical Review Research, 2021
Quantum machine learning is an emerging field that combines machine learning with advances in quantum technologies. Many works have suggested great possibilities of using near-term quantum hardware in supervised learning. Motivated by these developments,
Nhat A. Nghiem, Samuel Yen-Chi Chen, Tzu-Chieh Wei   +2 more
doaj   +1 more source

Geometrical Insights for Implicit Generative Modeling

, 2019
Learning algorithms for implicit generative models can optimize a variety of criteria that measure how the data distribution differs from the implicit model distribution, including the Wasserstein distance, the Energy distance, and the Maximum Mean ...
A Auffinger, A Gretton, A Müller, AA Zinger, B Schölkopf, B Sriperumbudur, BK Sriperumbudur, BK Sriperumbudur, C Villani, D Sejdinovic, GJ Székely, H Cramér, IJ Schoenberg, JM Hammersley, MA Aizerman, N Aronszajn, N Fournier, P Milgrom, R Mises von, RJ Serfling, RM Neal, ST Rachev, Steffen Dereich, T Hastie, VS Borkar, X Nguyen   +25 more
core   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

The effects of the implementation order of implicit and explicit learning methods on learners' task enjoyment and motor skill acquisition

Frontiers in Sports and Active Living
PurposeThis study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills in gymnastics.
Yuki Matsuura, Hiroki Matsuoka, Yoshifumi Isa, Yosuke Sakairi   +3 more
doaj   +1 more source

Ego Depletion Impairs Implicit Learning

PLoS ONE, 2014
Implicit skill learning occurs incidentally and without conscious awareness of what is learned. However, the rate and effectiveness of learning may still be affected by decreased availability of central processing resources. Dual-task experiments have generally found impairments in implicit learning, however, these studies have also shown that certain ...
Kelsey R Thompson, Daniel J Sanchez, Abigail H Wesley, Paul J Reber   +3 more
openaire   +4 more sources