Results 241 to 250 of about 147,354 (313)

Associations of Frailty With the Risk of Incident Cancer and Cancer‐Related Mortality in Veterans With Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective This study investigated the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). It aimed to identify how frailty influences cancer risk and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans’ Affairs Rheumatoid Arthritis Registry (2002–2023).
Bhavik Bansal, Aaron Baraff, Katherine Wysham, James S. Andrews, Bryant R. England, Ted R. Mikuls, Joshua Baker, Kaleb Michaud, Alexa Meara, Una Makris, Carolyn Presley, Ariela Orkaby, Namrata Singh   +12 more
wiley   +1 more source

Particle monitor probe: a novel tool for fast plasma diagnostics and space charge compensation investigation in high-intensity proton accelerators. [PDF]

Sci Rep
Priyadarshini P, Mathew JV, Kumar R.
europepmc   +1 more source

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

Arthritis Care &Research, EarlyView.
Objective The aim of this study was 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).
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

Hardware Accelerators for Cardiovascular Signal Processing: A System-on-Chip Perspective. [PDF]

Micromachines (Basel)
Hariri R, Cirstea M, Oghaz MMD, Benkrid K, Faust O.   +4 more
europepmc   +1 more source

Real‐World Effectiveness and Safety of Secukinumab in Giant Cell Arteritis: An Italian Multicenter Cohort Study

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six 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   +28 more
wiley   +1 more source

Ferroelectric Hafnium Oxide for In-Memory Computing: Advancing Devices, Circuit Architectures, and System-Level Integration. [PDF]

Micromachines (Basel)
He C, Li W, Li J, Li Q, Xie Z, Du T.
europepmc   +1 more source

Financial Accelerator [PDF]

, 2016
openaire   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
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, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Unlocking radiotherapy access: the critical role of structural quality and radiation therapists in Saudi Arabia. [PDF]

Front Oncol
Mulla Z, Ghandourh W, Almerdhemah H, Albishi N, Kattan A, Qahtani AA, Alsaihaty ZM, Aldosary G.   +7 more
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