Results 221 to 230 of about 4,127,934 (281)

Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity

Arthritis Care &Research, EarlyView.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

Use of continuous temperature data from wearable devices for fever or infection management in acute hospital settings: a scoping review protocol. [PDF]

BMJ Open
Liu Y, Zhao Q, Li K, Dowding D.
europepmc   +1 more source

Immune Checkpoint Inhibitor Related Myositis and Associated Triad Overlap Syndrome

Arthritis Care &Research, Accepted Article.
Objective Immune checkpoint inhibitor (ICI) myositis is a rare but highly morbid condition, particularly with the ICI myositis triad syndrome of myositis, myocarditis, and myasthenia gravis. We report the clinical characteristics of ICI myositis and all‐cause mortality in these patients.
Selene Rubino, Grant W Cannon, Brian C Sauer, Jorge Rojas, Gregory J Stoddard, Gary A Kunkel, Jessica A. Walsh, Bryant R England, Joshua F Baker, Tawnie J Braaten   +9 more
wiley   +1 more source

Clinical relevance of patient-reported outcome measures in the surgical management of focal chondral defects of the knee: a systematic review. [PDF]

J Orthop Traumatol
Migliorini F, Maffulli N, Memminger MK, Hofmann UK.   +3 more
europepmc   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
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

Streamlining evidence based clinical recommendations with large language models. [PDF]

NPJ Digit Med
Li D, Jiang N, Huang K, Tu R, Ouyang S, Yu H, Qiao L, Yu C, Zhou T, Tong D, Wang Q, Li M, Zeng X, Tian Y, Tian X, Li J.   +15 more
europepmc   +1 more source

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

Advanced 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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Frameworks for Guiding the Selection of Digital Data Collection Tools Used in Clinical Trials: Protocol for a Systematic Review.

JMIR Res Protoc
Ananthesayanan B, Fadahunsi KP, Xiong H, O'Donoghue J.   +3 more
europepmc   +1 more source

Evidence for motor imagery in the management of vestibular disorders does not support recent guidelines: A systematic search and review. [PDF]

PLoS One
Fabre-Adinolfi D, Naye F, Rulleau T.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source