Results 251 to 260 of about 2,259,182 (352)

Artificial Intelligence in Systemic Sclerosis: Clinical applications, challenges, and future directions

open access: yesArthritis Care &Research, Accepted Article.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Discordance between patient and physician global assessments in early systemic sclerosis

open access: yesArthritis Care &Research, Accepted Article.
Objective This study aims to identify factors associated with patient and physician global assessments and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (< 5 years) from the CONQUER registry were included.
Ellen Romich   +35 more
wiley   +1 more source

Perceived Impacts and Predictors of Cannabis Products used by Rheumatology Patients in Alberta: A Multivariable Analysis of Cross‐sectional Survey Data

open access: yesArthritis Care &Research, Accepted Article.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among rheumatology patients, and their associations with patient factors, patient reported perceived side effects and positive impacts. Methods An online survey (delivered from March to November 2022) was distributed by Alberta Health Services to ...
Susan Zhang   +10 more
wiley   +1 more source

The Physician‐Scientist Pipeline for Pediatric Rheumatology – Current Landscape and Future Perspectives.

open access: yesArthritis Care &Research, Accepted Article.
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu   +2 more
wiley   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg   +5 more
wiley   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian   +4 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

What Do Large Language Models Know About Materials?

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Composite cab fronts high speed train

open access: yesReinforced Plastics, 2004
openaire   +1 more source

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