Results 211 to 220 of about 1,568,330 (293)

Rethinking Public Health Approaches to Crisis Response: Putting People First. [PDF]

Risk Manag Healthc Policy
Mayhew SH, N'jai AU, Enria L.
europepmc   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source

Benjamin Felson (1913-1988): A Pioneer of Modern Chest Radiology. [PDF]

Cureus
Kundu S, Kundur AR, Anne P.
europepmc   +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

Tears, Suffering and System Failure: What My Father's Pain Revealed About the Canadian Healthcare System. [PDF]

Healthc Policy
Giannotti N.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

The Mediating Role of Spiritual Intelligence in the Relationships Among Well-Being, Professional Self-Concept and Empathy Among Nurses. [PDF]

Nurs Open
Rayan A, Al-Ghabeesh S, Baqeas MH, Alenezi I, Fawaz M, El Masri M.   +5 more
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Public health diplomacy in an era of complexity, uncertainty, and unpredictability: perspectives from a YFG-ASPHER workshop. [PDF]

Front Public Health
Linares L, Chen-Xu J, Medialdea Carrera R, Pietersz D, Zavattaro F, Otok R, Barros H, Figueras J, Joshi A.   +8 more
europepmc   +1 more source

3. Thinking and Researching Political Borders

, 2020
openaire   +1 more source