Results 41 to 50 of about 49,764 (262)

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Developmental Changes in Learning: Computational Mechanisms and Social Influences

Frontiers in Psychology, 2017
Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental ...
Florian Bolenz, Andrea M. F. Reiter, Andrea M. F. Reiter, Ben Eppinger, Ben Eppinger, Ben Eppinger   +5 more
doaj   +1 more source

Reinforcement and Punishment Shape the Learning Dynamics in fMRI Neurofeedback

Frontiers in Human Neuroscience, 2020
IntroductionNeurofeedback (NF) using real-time functional magnetic resonance imaging (fMRI) has proven to be a valuable neuroscientific tool for probing cognition and promising therapeutic approach for several psychiatric disorders.
Manfred Klöbl, Paul Michenthaler, Godber Mathis Godbersen, Simon Robinson, Simon Robinson, Simon Robinson, Andreas Hahn, Rupert Lanzenberger   +7 more
doaj   +1 more source

Asymmetric and adaptive reward coding via normalized reinforcement learning.

PLoS Computational Biology, 2022
Learning is widely modeled in psychology, neuroscience, and computer science by prediction error-guided reinforcement learning (RL) algorithms. While standard RL assumes linear reward functions, reward-related neural activity is a saturating, nonlinear ...
Kenway Louie
doaj   +1 more source

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

Advanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le, Anh Tuan Trong Tran, Ammara Waheed, Tran Thanh Tung, Dusan Losic   +4 more
wiley   +1 more source

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

TEORI PERSEPSI MULLÂ SHADRÂ BESERTA IMPLIKASI EPISTEMOLOGI DAN METODOLOGISNYA UNTUK PSIKOLOGI

Jurnal Studia Insania, 2015
Human action is seen as behavior of organisms that are subject to the law of effect (the law of effect) through the process of reinforcement and punishment, stimulus-response mechanism, learning by trial, and the laws of Biochemistry and physiological ...
Husein Heriyanto
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Human in the loop reinforcement learning framework for adaptive phishing detection

Discover Computing
Phishing attacks remain a persistent threat in cybersecurity, exploiting human psychology to extract confidential information. Conventional machine learning and Reinforcement Learning (RL) approaches often rely on rigid binary reward structures that ...
Sohail Khan
doaj   +1 more source

A new paradigm to study social and physical affordances as model-based reinforcement learning

Cognitive Robotics
Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances in the absence of human interaction can be ...
Augustin Chartouny, Keivan Amini, Mehdi Khamassi, Benoît Girard   +3 more
doaj   +1 more source