The accurate detection and quantification of rodent behavior forms a cornerstone of basic biomedical research. Current data-driven approaches, which segment free exploratory behavior into clusters, suffer from low statistical power due to multiple testing, exhibit poor transferability across experiments and fail to exploit the rich behavioral profiles of individual animals. Here we introduce a pipeline to capture each animal's behavioral flow, yielding a single metric based on all observed transitions between clusters.
View Article and Find Full Text PDFObjectives: to describe the results of a pilot population-based perinatal mortality surveillance system, with regards to stillbirths; to study maternal, obstetric, and foetal characteristics, evaluating risk factors and understanding causes.
Design: a cross-sectional study was conducted on incident cases of stillbirths collected by the surveillance system from July 2017 to June 2019 in three Italian Regions (Lombardy, Tuscany, and Sicily).
Setting And Participants: data on stillbirths, resulting from the in-hospital multidisciplinary audits, organised using the Significant Event Audit methodology, were analysed.
Tuberculosis (TB) is the leading global cause of death f rom an infectious bacterial agent. Therefore, limiting its epidemic spread is a pressing global health priority. The chaperone-like protein HtpG of (Mtb) is a large dimeric and multi-domain protein with a key role in Mtb pathogenesis and promising antigenic properties.
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