Results 171 to 180 of about 868,219 (267)
Survival Outcomes in Older Adults with Axial Spondyloarthritis and Concomitant Cancer
Objective The objective of this study was to determine survival outcomes in older adults with axial spondyloarthritis (axSpA) and concomitant cancer. Methods We conducted a population‐based study using Medicare claims data linked to Surveillance, Epidemiology, and End Results data to determine overall survival (OS) and cancer‐specific survival (CSS) in
Savannah Bowman +7 more
wiley +1 more source
Lu<sup>+</sup> optical frequency references with accuracy verified at the 19th digit. [PDF]
Arnold KJ +6 more
europepmc +1 more source
Objective This study estimated the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information (IPCI) database, including EHRs ...
Onur Kaya +7 more
wiley +1 more source
Six-fold reduction in ocean heat content estimate uncertainty since 1960. [PDF]
Yuan H +17 more
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Depression symptoms, resilience and perceived disease uncertainty in Chinese glaucoma patients: a cross-lagged panel tracking study protocol. [PDF]
Xiang M +5 more
europepmc +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
When Medicine Gets Irritating: Interactional and Structural Triggers of Uncertainty in Family Medicine Residency Training. [PDF]
Hierasimowicz K +2 more
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

