Results 51 to 60 of about 114,658 (266)

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

Cloud and IoT based smart agent-driven simulation of human gait for detecting muscles disorder

Heliyon
Motion disorders affect a significant portion of the global population. While some symptoms can be managed with medications, these treatments often impact all muscles uniformly, not just the affected ones, leading to potential side effects including ...
Sina Saadati, Abdolah Sepahvand, Mohammadreza Razzazi   +2 more
doaj   +1 more source

Agent-Based Simulation of Group Learning

, 2008
We construct groups of simulated learnersthat model the behaviour of humans acting in various learning environments, with the aims of studying group learningand focusing on the effects of different goal structureson individuals and groups of learners. Three sets of research objectives are investigated: (1) imitating the behaviour of human learners with
M. Spoelstra, Elizabeth Sklar
openaire   +3 more sources

Re‐Purposing Sapropterin (Kuvan) for ACTA2‐Related Multisystemic Smooth Muscle Dysfunction Syndrome: A Translational Mechanistic and First‐In‐Human Therapeutic Report

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem, Noa Bielopolski, Vijai Krishnan, Shane Wald‐Altman, Shelly I Shrian, Omer Bar‐Yosef, Livia Kapusta, Claire Shamber, Patricia L. Musolino, Miguel Weil   +9 more
wiley   +1 more source

Manifesto da ciência social computacional

Mediações: Revista de Ciências Sociais, 2013
A crescente integração da tecnologia em nossas vidas criou volumes sem precedentes de dados sobre o comportamento cotidiano da sociedade. Esses dados abrem novas oportunidades para se trabalhar em direção a um entendimento quantitativo dos sistemas ...
Rosaria Conte, Nigel Gilbert, Giulia Bonelli, Claudio Cioffi-Revilla, Guillaume Deffuant, János Dertész, Vittoio Loreto, Suzy Moat, Jean-Pierre Nadal, Ángel Sánchez, Andrzeij Nowak, Andreas Flache, Maxi San Miguel, Dirk Helbing   +13 more
doaj  

Bottom-up ecology: an agent-based model on the interactions between competition and predation

Letters in Biomathematics, 2016
We developed an agent-based computer model of an ecosystem to predict interactions of competition and predation. In our simulations of the model, the effects of the ‘Gause law’ emerged as the results of population fluctuations and a large number of ...
Istvan Karsai, Emil Montano, Thomas Schmickl   +2 more
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

Arthritis Care &Research, Accepted Article.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source

Special Issue “Multi-Agent Systems”: Editorial

Applied Sciences, 2019
Multi-agent systems (MAS) allow and promote the development of distributed and intelligent applications in complex and dynamic environments. Applications of this kind have a crucial role in our everyday life, as witnessed by the broad range of domains ...
Stefano Mariani, Andrea Omicini
doaj   +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