Results 151 to 160 of about 437,753 (253)

Spatially tailored spin wave excitation for spurious-free, low-loss magnetostatic wave filters with ultra-wide frequency tunability. [PDF]

Microsyst Nanoeng
Wu S, Yao S, Du X, Chang CY, Olsson RH.
europepmc   +1 more source

Real‐World Safety and Effectiveness of JAK Inhibitors in Systemic Sclerosis: A Propensity‐Matched Study From the EUSTAR Cohort

Arthritis Care &Research, EarlyView.
Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato, Marie‐Elise Truchetet, Marco Minerba, Oliver Distler, Juan José Alegre Sancho, Yolanda Braun‐Moscovici, Christina Bergmann, Petros Sfikakis, Jeska K. de Vries‐Bouwstra, Murray Baron, Silvia Bellando‐Randone, Lorenzo Dagna, Christopher P. Denton, Madelon C. Vonk, Vanessa Smith, Ivan Castellvi, Gabriela Riemekasten, Andra Balanescu, Masataka Kuwana, Maria De Santis, Kamal Solanki, Anastas Batalov, Vahan Mukuchyan, Marco Matucci‐Cerinic, Yannick Allanore, Francesco Del Galdo, Michael Hughes, EUSTAR Collaborators   +27 more
wiley   +1 more source

Periarticular Spindle Cell Sarcoma of the Knee in a Patient With Rheumatoid Arthritis: A Rare Diagnostic Dilemma in an Atypical Location and Age Group. [PDF]

Cureus
Sudarshna MM, Muthukumaran MV, Sivakumar P, Jeladharan R, Pillai AV, Ramachandran R.   +5 more
europepmc   +1 more source

Employment Trajectories of Patients With Systemic Lupus Erythematosus and Factors Driving Transitions Between States

Arthritis Care &Research, EarlyView.
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, Zahi Touma, Laura Whittall Garcia, Dafna D. Gladman, Behdin Nowrouzi‐Kia   +4 more
wiley   +1 more source

Highly Efficient Polarization-Insensitive Wide-Angle Orthogonal Dipole Metasurface for Ambient Energy Harvesting. [PDF]

Micromachines (Basel)
Wei Y, Gao Z, Li H, Li Z.
europepmc   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Advanced materials for flexible and wearable energy storage devices. [PDF]

RSC Adv
Ibrahim M, Abdelhamid HN.
europepmc   +1 more source

The Development of Rheumatoid Arthritis–Specific Ambulatory Care–Sensitive Conditions: Results of a Consensus Process

Arthritis Care &Research, EarlyView.
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin, Candace H. Feldman, Claire E. H. Barber, Gabriel Fabreau, Jake Jennings, Scott Patten, Cheryl Barnabe, Inflammatory Arthritis‐Specific ACSC Consensus Process Working Group   +7 more
wiley   +1 more source

A Weak-Magnetic-Field Measurement System with Large-Scale Uniformity and a Low Limit of Detection. [PDF]

Nanomaterials (Basel)
Meng Q, Wang Y, Liang X, Wang Y, Lu Y, Ju D, Zhang Y, Lin Q.   +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   +2 more
wiley   +1 more source