Results 191 to 200 of about 1,301,577 (294)
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Efficient Inference in First Passage Time Models. [PDF]
Liu S, Fengler A, Frank MJ, Harrison MT.
europepmc +1 more source
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi +10 more
wiley +1 more source
Closed-Form Approximations of Range Mutual Information for Integrated Sensing and Communication Systems. [PDF]
Lai Z, Luo H, Wang Y, Zhang Y, Jin B.
europepmc +1 more source
Objective To characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE). Methods We analyzed cross‐sectional data from 451 adults in the Approaches to Positive, Patient‐centered Experiences of ...
Sarah L. Patterson +7 more
wiley +1 more source
Saddlepoint approximations for linear rank tests with left-truncated, right-censored, and cross-sectional data under randomized block design. [PDF]
Kamal KS, Abd El-Raheem AEM, Ramadan MM.
europepmc +1 more source
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in giant cell arteritis (GCA) patients. Methods This multicentre retrospective study included patients with GCA who received secukinumab at 14 Italian centres with at least 6 months of follow‐up.
Luca Iorio +29 more
wiley +1 more source
Performance analysis over q-Weibull fading channels for symbol error probability evaluation using a tighter Gaussian Q approximation. [PDF]
Samal S +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
BoolForge: controlled generation and analysis of Boolean functions and networks. [PDF]
Kadelka C, Coberly B.
europepmc +1 more source

