Results 161 to 170 of about 2,477,888 (295)
Learning by Doing…Errors! Comment on Gil-Lacruz et al. Learning by Doing and Training Satisfaction: An Evaluation by Health Care Professionals. Int. J. Environ. Res. Public Health 2019, 16, 1397. [PDF]
Cortini M.
europepmc +1 more source
Learning by Doing, Risk Aversion and Use of Risk Management Strategies [PDF]
Using a national survey, double hurdle models are estimated to examine the impact of farmers’ risk attitude on use of production and marketing contracts. Risk averse farmers are less likely to use contracts but risk attitude does not have any significant
Ashok, Mishra K., Uematsu, Hiroki
core +1 more source
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Investing in research infrastructure to address health inequalities: Learning by doing. [PDF]
Hampshaw S, Morling J, Black M.
europepmc +1 more source
Hidden effort, learning by doing, and wage dynamics [PDF]
Many occupations are subject to learning by doing: Effort at the workplace early in the career of a worker results in higher productivity later on. In such occupations, if effort at work is unobservable, a moral hazard problem also arises.
Arantxa Jarque
core
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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
Learning by Doing and Training Satisfaction: An Evaluation by Health Care Professionals. [PDF]
Gil-Lacruz M +2 more
europepmc +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Learning by Doing: Preserving the Quality of Graduate Medical Education in an Era of Work Hour Restrictions. [PDF]
Lee M.
europepmc +1 more source

