Exposure to environmental chemicals has been linked to an increased risk of pregnancy-
induced hypertension (PIH). This prospective cohort study examined the associations …

This study examined public relations strategies and the marketing performance of financial
service providers. It aimed to ascertain the influences of community relations, customer …

Aim & methods: We conducted a pilot epigenome-wide association study of women from
Tutsi ethnicity exposed to the genocide while pregnant and their resulting offspring, and a …

The purpose of this study is to analyze the effect of the number of labor force and investment
on Regional Original Income Revenue (PAD). Provincial PAD in Indonesia has different …

Constructing sparse, effective reduced-order models (ROMs) for high-dimensional
dynamical data is an active area of research in applied sciences. In this work, we study an …

Conserving urban biodiversity is often promoted as a 'win-win'nature-based solution that can
help align public health and biodiversity conservation agendas. Yet, research on the …

In the context of the long-term coexistence between COVID-19 and human society, the
implementation of personnel health monitoring in construction sites has become one of the …

Feature selection plays a vital role in improving the efficiency and accuracy of condition
monitoring by constructing sparse but effective models. In this study, an advanced feature …

Abstract Sequential Monte Carlo (SMC) is a powerful technique originally developed for
particle filtering and Bayesian inference. As a generic optimizer for statistical and …

Postoperative desaturation is a common post-surgery pulmonary complication. The real-time
prediction of postoperative desaturation can become a preventive measure, and real-time …