Results 121 to 130 of about 1,157,336 (324)

Screening for Social Determinants of Health in Patients with Systemic Lupus Erythematosus: A Point‐of‐Care Feasibility Study

Arthritis Care &Research, Accepted Article.
Objectives Social determinants of health (SDoH) can impact outcomes but are not routinely screened for in US outpatient rheumatology clinics. This study determined the feasibility of routine point‐of‐care SDoH screening among patients with systemic lupus erythematosus (SLE), and associated barriers and facilitators at the physician, care team, and ...
S. Sam Lim, Vijay R. Nadipelli, Michelle Bruno, Daphne Lew, Bernard Rubin, Charmayne M. Dunlop‐Thomas, Kelsey Hulcher, Kristi R. Mitchell, Lydia Demetriou, Jeff Berko, Jason Bao, Alfred H.J. Kim   +11 more
wiley   +1 more source

How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review

Mayo Clinic Proceedings: Digital Health
To assess the current real-world applications of machine learning (ML) and artificial intelligence (AI) as functionality of digital behavior change interventions (DBCIs) that influence patient or consumer health behaviors.
Amy Bucher, PhD, E. Susanne Blazek, PhD, Christopher T. Symons, PhD   +2 more
doaj  

Mathematical Modeling and Finite Element Analysis of Residual Stress (RS) Field after Multipass Ultrasonic Surface Rolling

Advances in Materials Science and Engineering
In order to achieve the change rule of the induced residual stress (RS) field after multipass ultrasonic surface rolling (USR), a mathematical model of the induced residual stress (RS) field after multipass ultrasonic surface rolling is first established.
Jinggan Shao, Zhanshu He, Genshang Wu, Zhi Zhang, Chao Li   +4 more
doaj   +1 more source

Review of The Reinforcement of Voluntary Muscular Contractions. [PDF]

, 1899
George Van Ness Dearborn
openalex   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Quantitative Evaluation of Internal Pavement Distresses Based on 3D Ground Penetrating Radar

The Baltic Journal of Road and Bridge Engineering
Asphalt pavement will inevitably produce internal distresses during service, which increases the risk of deterioration of pavement structural performance.
Yong Liu, Zhiwen Zhang, Yang Yuan, Yunsheng Zhu, Kaifeng Wang   +4 more
doaj   +1 more source

A review of heterogeneous interpretations of Emotional Reactivity [PDF]

International Journal of Emotional Education, 2019
‘Emotional reactivity’ (ER) is an important construct in the analysis of individual temperamental differences, and has accounted for significant variance in studies with respect to its definition.
Saima Eman, Ansab Khalid, Roderick I. Nicolson   +2 more
doaj  

On a three-dimensional lattice approach for modelling corrosion induced cracking and its influence on bond between reinforcement and concrete

, 2010
The present work involves the discrete modelling of corrosion induced cracking and its influence on the bond between reinforcement and concrete. A lattice approach is used to describe the mechanical interaction of a corroding reinforcement bar, the ...
Davies, Trevor, Grassl, Peter
core  

Learning Strict Nash Equilibria through Reinforcement [PDF]

This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al (2001).
Ianni, Antonella
core   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source