Use of the STRYD<sup>®</sup> Power Meter and Its Metrics in Trained Runners: A Systematic Review. [PDF]
Barrios García-Miguel E +3 more
europepmc +1 more source
Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George +7 more
wiley +1 more source
Sample Size Reduction by Applying ML Based Causal Inference Methods. [PDF]
Youn A +7 more
europepmc +1 more source
Objective To assess the validity of the Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert +43 more
wiley +1 more source
Integrating Meta-Analysis Into a Specific Study (InMASS) for Estimating the Target-Population Average Treatment Effect. [PDF]
Hanada K, Kojima M.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Distributed EEG power asymmetries across frequencies in PTSD: Introducing the dynamic EEG power differential (DEPD) index. [PDF]
Hammad Modarres M, Shirk SD.
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
Editorial Special Issue on Changing Approaches to Authority and Power in Criminal Justice [PDF]
Kristen, F.G.H. +2 more
core +1 more source
Microwave power-induced modulation of tigernut (<i>Cyperus esculentus</i> L.) starch: Insights into structural and functional properties. [PDF]
Qin JW +7 more
europepmc +1 more source

