Results 161 to 170 of about 328,211 (267)

Optimizing Hydroxychloroquine Blood Levels and Long‐Term Hydroxychloroquine Intake Could Lower Atherosclerotic Cardiovascular Disease Risk and Prevent Polypharmacy in Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is the cornerstone of systemic lupus erythematosus (SLE) management with benefits extending beyond SLE control, including protection against atherosclerotic cardiovascular disease (ASCVD). Although HCQ blood levels reflect recent exposure and long‐term intake reflects medication adherence, the impact of longitudinal ...
Shivani Garg, Murray Urowitz, Charlie Dentz, Niriti Adhikari, Fauzia Hollnagel, Nathalie Costedoat‐Chalumeau   +5 more
wiley   +1 more source

In vivo Effects of Acute Inflammatory Responses on Dopaminergic Receptor Expression in Leukocytes and Marginal Effects of Hypoxia Pretreatment.

Neuroimmunomodulation
Fleige L, Jakobs M, Brüggemann G, Tebbe B, Martin Schäper T, Engler H, Friedel AL, Hörbelt-Grünheidt T, Fandrey J, Schedlowski M, Capellino S.   +10 more
europepmc   +1 more source

Central-marginal dynamics in Dinoponera quadriceps (Hymenoptera, Formicidae): activity density, body reduction and functional divergence. [PDF]

Naturwissenschaften
Medeiros S, Mayrink B, Silva J, Campos R, Cornelissen T, Fagundes M.   +5 more
europepmc   +1 more source

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among U.S. Veterans

Arthritis Care &Research, Accepted Article.
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

Reliability, bias, and computational cost of estimating the Bayes factor using bridge sampling and the Savage-Dickey density ratio. [PDF]

Behav Res Methods
Oberauer K, Musfeld P, Aust F.
europepmc   +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

Horsepower: equine-assisted interventions are associated with reduced PTSD symptoms, improved sleep quality, and quality of life in military veterans with treatment-resistant PTSD. [PDF]

Front Psychol
Kapteijn CM, Vermetten E, Rodenburg TB, Endenburg N.   +3 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   +2 more
wiley   +1 more source

Tailoring Bayesian Additive Regression Trees (BART) for environmental mixture studies. [PDF]

PLoS One
Ye K, Chen Z, Zhao S.
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