Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers.

This study examines the formidable and complex challenge of insider threats to organizational security, addressing risks such as ransomware incidents, data breaches, and extortion attempts. The research involves six experiments utilizing email, HTTP, and file content data. To combat insider threats, emerging Natural Language Processing techniques are employed in conjunction with powerful Machine Learning classifiers, specifically XGBoost and AdaBoost.

Rethinking Restriction in Residential Aged Care: Dis/Abling Movement and Relations in the Time of COVID-19.

Restricting movement is a major focus in policy directives to reduce the spread of COVID-19 in aged care homes. In this article, we rethink dominant framing of restriction through a critical examination of the politics of good care and ethnographic attention to spatial extensions and interdependencies between residents, care workers, and assistive technologies. Drawing on ethnographic observations in two South Australian care facilities, analysis of aged care policies and national inquiries into aged care, and relevant media reporting, we examine how restriction to movement, misconceptualized as a good form of care, has suppressed residents' physical and social needs and ruptured abling assemblages of resident mobility.

Shading contributes to decline in response to warming.

Experimental warming of an ombrotrophic bog in northern Minnesota has caused a rapid decline in the productivity and areal cover of mosses, affecting whole-ecosystem carbon balance and biogeochemistry. Direct effects of elevated temperature and the attendant drying are most likely the primary cause of the effects on , but there may also be responses to the increased shading from shrubs, which increased with increasing temperature. To evaluate the independent effects of reduction in light availability and deposition of shrub litter on productivity, small plots with shrubs removed were laid out adjacent to the warming experiment on hummocks and hollows in three blocks and with five levels of shading.

Draft Metagenome Sequences of the (Peat Moss) Microbiome from Ambient and Warmed Environments across Europe.

We present 49 metagenome assemblies of the microbiome associated with (peat moss) collected from ambient, artificially warmed, and geothermally warmed conditions across Europe. These data will enable further research regarding the impact of climate change on plant-microbe symbiosis, ecology, and ecosystem functioning of northern peatland ecosystems.