Results 191 to 200 of about 7,036,065 (293)

Prevalence of Dietary Supplement Use and Potential Medication Interactions Among Adults with Systemic Lupus Erythematosus

Arthritis Care &Research, Accepted Article.
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, Russell Ellyson, Jessica Fitzpatrick, Ghizlane Yaakoubi, Bradley Pearce, S. Sam Lim, Jinoos Yazdany, Laura C. Plantinga   +7 more
wiley   +1 more source

Modeling treatment effects on absorbing outcomes in clinical trials: Leveraging longitudinal and ordinal data for efficiency gains. [PDF]

Stat Methods Med Res
Di Gravio C, Tao R, Nam Y, Schmidt EP, Shapiro N, Schildcrout JS.   +5 more
europepmc   +1 more source

Real‐world effectiveness and safety of secukinumab in giant cell arteritis: an Italian multicentre cohort study

Arthritis Care &Research, Accepted Article.
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, Federica Davanzo, Caterina Ricordi, Milena Bond, Ruggiero Mascolo, Jacopo Mora, Alessandro Tomelleri, Angelo Fassio, Francesca Cuzzocrea, Sara Monti, Edoardo Conticini, Fabiola Atzeni, Paolo Delvino, Carlotta Nannini, Augusta Ortolan, Francesco Pollastri, Ester Vivaldelli, Chiara Marvisi, Paola Toniati, Antonio Brucato, Alessandra Milanesi, Francesca Regola, Enrico Tombetti, Lorenzo Dagna, Roberta Ramonda, Christian Dejaco, Luca Quartuccio, Carlo Salvarani, Roberto Padoan, The Italian Society of Rheumatology Vasculitis Study Group   +29 more
wiley   +1 more source

Innovative generating-information function for consecutive lifetime systems in health research. [PDF]

Sci Rep
Mohamed MS.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
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, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Is entropy objective? Rethinking the foundations of irreversibility and the second law. [PDF]

PNAS Nexus
Parrondo JMR.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced 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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Degrees-of-Freedom Approximations for Conditional-Mean Inference in Random-Lot Stability Analysis. [PDF]

Pharm Stat
Karl AT, Rushing H, Burdick RK, Hofer J.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced 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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Statistical and Structural Bias in Birth-Death Models. [PDF]

Bull Math Biol
Beaulieu JM, O'Meara BC.
europepmc   +1 more source