Results 61 to 70 of about 85,893 (311)
Card games are effective tools to enhance foundation year health and safety inductions
FEBS Open Bio, EarlyView.A series of three card games was developed to actively deliver health and safety education to foundation year students. Most students reported positive responses regarding their enjoyment (89.9 %) and learning (74.7 %) from all games evaluated. Data revealed significant improvements in health and safety knowledge (P < 0.0001).
Rumana Rafiq +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Natalizumab (NTZ) is a highly effective therapy for multiple sclerosis (MS); however, its use is limited by the risk of a rare potentially severe opportunistic brain infection, progressive multifocal leukoencephalopathy (PML). Alternative dosing strategies are evaluated to reduce PML risk while still maintaining efficacy, which ...
Regina Berkovich +10 more
wiley +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 +2 more
wiley +1 more source
experimental game theory [PDF]
Research Papers in Economics, 2000 Whereas orthodox game theory relies on the unrealistic assumption of (commonly known) perfect rationality, participants in game playing experiments are at best boundedly rational. This makes it necessary to supplement orthodox game theory by a behavioral theory of game playing. We first point out that this applies also to (one person-) decision theory.
openaire +2 more sources
Advanced Biology, EarlyView.In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins +2 more
wiley +1 more source
Advanced Biology, EarlyView.The novelty of this study showed that the injection of exosomes produced from ADMSCs in combination with Roflumilast poses a more favorable therapeutic outcome for CKD induced by Adriamycin, compared to therapy with exosomes or Roflumilast alone. Roflumilast and exosomes treatment lowered the expression of the apoptotic, fibrotic, and inflammatory ...
Mohamed Ali +5 more
wiley +1 more source
Game theory in entrepreneurship: a review of the literature [PDF]
Journal of Business and Socio-Economic DevelopmentPurpose – The purpose of this paper is to review the utilization of game theory in the entrepreneurship literature. Game theory can potentially be employed to assess strategies incentivizing productive entrepreneurial activities and subsequent economic ...
Abdallah M.H. AlOmari
doaj +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 +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source