ABSTRACT: In order to reveal the manifestations and mechanisms of the cross-language and cross-platform financial digital divide in the social media era, this study is supported by the theory of ...

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 ...

The Poisson lognormal model and variants (Chiquet et al. 2021) can be used for a variety of multivariate problems when count data are at play. This package implements efficient variational algorithms ...

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) ...

This work presents a generalized approach for analytical method optimization that branches the gap between techniques historically employed and accurate modern optimization techniques suitable for ...

A novel deep learning model zLSTM, which evolves from Long-Short Term Memory (LSTM) with enhanced long-term processing capability, is applied to the prediction of Loss of Coolant Accident (LOCA).

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 ...