Results 101 to 110 of about 88,324,055 (292)

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

open access: yesArthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein   +3 more
wiley   +1 more source

Towards a Canonical View of Peer Assessment

open access: yes, 2007
Peer Assessment (or Peer Review) is a popular form of reciprocal assessment where students produce feedback, or grades, for each others work. Peer Assessment activities can be extremely varied with participants taking different roles at different stages ...
Sinclair, Patrick   +6 more
core   +2 more sources

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among U.S. Veterans

open access: yesArthritis Care &Research, Accepted Article.
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler   +20 more
wiley   +1 more source

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

open access: yesArthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif   +5 more
wiley   +1 more source

Incorporation of peer learning in first MBBS curriculum to enhance metacognition skills [PDF]

open access: yesAl Ameen Journal of Medical Sciences, 2012
Peer learning can be incorporated in the first MBBS curriculum along with didactic lectures and tutorials. Peer learning is when a student learns from another student who has been trained to explain the topic and discuss it. Peer learning improves domain-
Manas Kanti Ray, Suranjana Ray
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

When Open Hypermedia Meets Peer-to-Peer Computing

open access: yes, 2004
We describe the extension to our previous work on a Web-based peer-to-peer open hypermedia system, the DDLS. We enrich the peer model by introducing query history, and propose the use of the naive estimator which utilises the local knowledge of peers to ...
De Roure, David, Hall, Wendy, Zhou, Jing
core   +2 more sources

Implementing a Functional Group Analysis Activity to Support Student Learning in Medicinal Chemistry: A Three-Year Experience

open access: yesPharmacy
Many pharmacy students begin medicinal chemistry with limited experience in chemical structure interpretation and reactivity patterns, making it difficult to connect foundational concepts to real-world drug behavior. We introduced a low-stakes functional
Ansel Belani, Jitendra D. Belani
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational 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   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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