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Insider threats pose a significant and growing risk to organizational cybersecurity, with recent studies indicating a 47% increase in insider incidents from 2018 to 2022. This paper presents a comparative analysis of uns...

Background Post-stroke depression (PSD) is a common neuropsychiatric problem associated with a high disease burden and reduced quality of life (QoL). To date, few studies have examined the network structure of depressive...

The need for early and precise identification of abnormalities has made the detection and classification of brain tumours essential components of medical diagnosis. Because brain tumours are naturally complex and can hav...

Abstract There is a growing body of research on disease clusters in multimorbidity. Here we systematically review clustering methodologies and perform a meta-analysis of disease cluster stability across the literature, s...

Research objective. This article analyses the transformation of the communication system of Ukrainian sailors' wives during the Soviet and post-Soviet periods. The research aims to identify changes in the forms and pract...

ABSTRACT Background Domestic Violence and Abuse (DVA) is a significant global problem that warrants a robust, multi‐sectoral response. The Covid‐19 pandemic highlighted that informal and social networks play a critic...

To address the challenges of aviation safety information overload in Pre-flight Information Bulletin (PIB) systems, this study proposes an intelligent classification framework (ERNIE-DPCNN) that integrates knowledge-enha...

This study presents a novel, site-specific deployment of a Long Range Wide Area Network (LoRaWAN)-driven air pollution monitoring network specifically for the Iraqi city of Mosul, which is beset by widespread power outag...