Results 181 to 190 of about 239,946 (299)
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
Combined Laser Strategies for Scar Treatment: A Comprehensive Review of Synergistic Protocols. [PDF]
Clementi A +9 more
europepmc +1 more source
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen +14 more
wiley +1 more source
Adaptive fractional-order non-singular terminal sliding mode control for omnidirectional quadrotors based on WRBF neural network. [PDF]
Ma R, Gu Q, Ding L, Li Y, Sun C, Wu H.
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
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 +5 more
wiley +1 more source
Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]
Zimmermann P.
europepmc +1 more source
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
Epidemic dynamics prediction using fractional SIRD and deep learning. [PDF]
Shafqat R +3 more
europepmc +1 more source
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source

