Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China.

Abstract: Cybercrime has emerged as a pervasive global issue, impacting nations worldwide. In response to this growing threat, we aimed to develop a data-driven framework for national cybersecurity ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...

Covered entities (CEs) and business associates (BAs) might be forgiven if the most recent HHS Office for Civil Rights (OCR) HIPAA enforcement action evoked little more than a yawn. Yes, the $175,000 ...

Data sources We searched Embase, MEDLINE (via Ovid), PubMed and Web of Science Core Collection from inception to 9 October 2023. Eligibility criteria We included simulation studies comparing responder ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...