Results 181 to 190 of about 675,580 (304)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

quantitative structure–property relationship

open access: yes
Citation: 'quantitative structure–property relationship' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08202 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for
openaire   +1 more source

Understanding the burden of orofacial involvement and patient treatment preferences in systemic sclerosis: results from a large international survey

open access: yesArthritis Care &Research, Accepted Article.
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 comprising 38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni   +4 more
wiley   +1 more source

Quantitative structure-property relationship analysis of critical properties of individual organic compounds

open access: yesTrudy Odesskogo Politehničeskogo Universiteta
This work presents the development and analysis of robust QSPR models for critical properties (pressure PC, temperature TC, and volume VC). The object of this study is a database consisting of 399 different organic compounds.
Єгор Костянтинович Пестерев   +5 more
doaj  

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

open access: yesInternational 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

Home - About - Disclaimer - Privacy