BACKGROUND: Sudden cardiac arrest disproportionately affects youths from lower socioeconomic neighborhoods, yet the ...

In most patients with mild-to-moderate cholangitis, performing ERCP within 24-48 hours appears to be as effective as ...

Abstract: More and more time series data appear in various fields, and the prediction of multivariate time series has been the key to solve many industrial problems. Therefore, it is necessary to ...

Multivariable control systems design and optimization addresses the task of regulating multiple interdependent process variables within a single framework. Unlike single‐loop controllers, ...

In this paper, we propose SHoTClean series, a unified framework that bridges soft and hard constraints for effective and efficient multivariate time series cleaning. As shown in figure below, there ...

This paper explores an alternative way for analyzing static Functional Connectivity (FC) in functional Magnetic Resonance Imaging (fMRI) data across multiple timescales using a class of adaptive ...

The Poisson lognormal model and variants 1 can be used for a variety of multivariate problems when count data are at play. This package implements efficient variational algorithms to fit such models, ...

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...

Abstract: The binary polarization state analyzer (PSA) made of magnetooptic crystal (MO) rotators is a promising technology for achieving low-cost and high-efficiency state of polarization (SOP) ...

Recombinant adeno-associated viral vectors (rAAVs) are one of the most used vehicles for gene therapy, with five rAAV therapeutics commercially approved by the FDA. To improve product yield, we ...