Results 111 to 120 of about 1,196,266 (277)
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network
Neural plasticity plays an important role in learning and memory. Reward-modulation of plasticity offers an explanation for the ability of the brain to adapt its neural activity to achieve a rewarded goal.
Witali eAswolinskiy, Gordon ePipa
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
The Relationship between Effort-reward Imbalance and Job Stress among Medical Staff in Beijing [PDF]
Background Medical work is characterized as challenging, tasking and stressful. The effort-reward imbalance (ERI) model suggests that if the organizational environment contributes to ERI, it can negatively affect employees.
LI Ang, GUO Moning, TAN Peng, LU Feng, WANG Mei
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Embodied intelligence for drumming; a reinforcement learning approach to drumming robots
This paper investigates the potential of the intrinsically motivated reinforcement learning (IMRL) approach for robotic drumming. For this purpose, we implemented an IMRL-based algorithm for a drumming robot called ZRob, an underactuated two-DoF robotic ...
Seyed Mojtaba Karbasi +7 more
doaj +1 more source
Cognitive conflict is intrinsically rewarding
Cognitive conflict is aversive. This claim is widely accepted, despite its supporting evidence being ambiguous. Here, we show that when participants can freely choose, cognitive conflict is sought after and enjoyed. Across two experiments (N = 100 each), participants first decided the level of cognitive conflict they wanted to experience and then ...
Marta La Pietra +3 more
openaire +1 more source
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley +1 more source
A flexure‐based variable stiffness structure is developed by integrating phase‐change modulation and adhesive interfacial locking of gallium. The design enables a wide stiffness variability, transitioning from soft, flexible behavior to rigid, load‐supporting performance.
Sungjin Kim +2 more
wiley +1 more source

