Results 91 to 100 of about 1,409 (168)
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene +5 more
wiley +1 more source
This article first outlines the dominant features of the author's narrative manner, i.e. syntactic and lexical features of the novel. In the central part of the paper, an analysis of the unusual use of phraseology is presented, which illustrates the ...
Mijana Č. Kuburić Macura +1 more
doaj +1 more source
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 +7 more
wiley +1 more source
Objective Systemic lupus erythematosus (SLE) disproportionately affects women of reproductive age, making pregnancy timing and contraception use central to care. Although clinical counseling is vital to reproductive planning, less is known about the sociocultural and structural influences shaping reproductive decision‐making among Hispanic women with ...
Leanna Wise +6 more
wiley +1 more source
Objectives We aimed to estimate whether adding oral glucocorticoids to ILD‐modifying therapy improves 12‐month lung outcomes in systemic sclerosis‐associated interstitial lung disease (SSc‐ILD). Methods We emulated a target trial using the EUSTAR database.
Zubeyir Salis +14 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
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
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil +2 more
wiley +1 more source
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source

