Customizable Bayesian adaptive testing with Python - The adaptivetesting package. [PDF]
Engicht J, Bee RM, Koch T.
europepmc +1 more source
Application of close‐kin mark–recapture to an American black bear population using harvest samples
Abstract Close‐kin mark–recapture (CKMR) offers a promising alternative to traditional mark–recapture methods for estimating wildlife population parameters. CKMR estimates demographic parameters by identifying genetic relationships between individuals, effectively “recapturing” parental genotypes through their offspring's genetic profiles.
Anthony Sévêque +10 more
wiley +1 more source
Adaptive Weighted Factor Graph Optimized Positioning Algorithm Based on Joint GNSS/INS/Vision Residual Detection. [PDF]
Wang J +5 more
europepmc +1 more source
Effects of Maximal Concentric Contractions on Myotendinous Mechanical Properties in Prepubertal Boys
ABSTRACT This study aimed to compare the effects of a fatiguing concentric exercise on the myotendinous mechanical properties of the knee extensors between men and prepubertal boys. Ten prepubertal boys and 10 men performed a fatiguing exercise consisting of five sets of 20 maximal isokinetic concentric knee extensor contractions.
Baptiste Chanel +2 more
wiley +1 more source
A Decoupled Fractional-Order Kalman Filter for Accelerometer Tilt Angle Estimation. [PDF]
Wu N, Liu X, Han H, Wang J.
europepmc +1 more source
Exposure–Response Analyses of Ropeginterferon Alfa‐2b in Essential Thrombocythemia
Abstract Ropeginterferon alfa‐2b is a new‐generation interferon therapy for the treatment of myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET). This investigation was designed to characterize its population pharmacokinetics–pharmacodynamics (PopPK‐PD) and delineate exposure–response (E‐R) relationships in ET. A population PK
Albert Qin +20 more
wiley +1 more source
Bayesian Dosing Simulator (BDS): A Pharmacokinetic Modeling Tool for Optimized Antibiotic Therapy. [PDF]
Valadez A +6 more
europepmc +1 more source
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Distributed Kalman Filter with Maximum Correlation Entropy Criterion and Consensus Weighted Term Fusion. [PDF]
Feng X, Gao Z, Liu T.
europepmc +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source

