Network anomaly detection is an active research area, with numerous solutions that utilize statistical methods, neural networks, and other machine learning methods. Autoencoders, in particular, have shown great performance by learning representations solely from benign traffic, enabling the detection of zero-day attacks. In this thesis, we propose a methodology that uses transfer learning to train

This article analyses the role of the Soviet political police and the KGB state security in suppressing large workers' protests in Novocherkassk in 1962. The aim is not only to study the actions of the KGB during the crisis itself, but above all to show how the events in Novocherkassk contributed to the subsequent change in the overall character of this repressive service and, more generally, the

Tax rules may form an impediment to philanthropic initiatives, including innovative activities such as social entrepreneurship and cross-border initiatives. This chapter analyses three specific tax barriers: barriers to cross-border philanthropy, possible barriers as a result of proposed EU corporate income tax harmonization, and barriers to philanthropy in the form of social entrepreneurship. The

This study utilizes advanced 3D imaging techniques, combining X-ray and neutron tomography, to investigate the hydromechanical evolution of Idaho Gray sandstone during coupled triaxial permeability tests. The analysis involved correlating mechanical and hydraulic bulk measurements, porosity fields, strain fields derived from Digital Volume Correlation analysis and fluid speed fields derived from t

In 2015 the Rockefeller Foundation-Lancet Commission defined planetary health as built on an ecological model that integrates the material, biological, social, and cultural aspects of public health and accepts the complexity and non-linearity of the dynamics of natural systems. The zoonotic COVID-19 pandemic hastened this awaking to the symbiotic nature of planetary health politics (PHP), with the

Water markets are increasingly advocated for combating agricultural water scarcity. However, in developing countries’ arid and semiarid regions, water market performance is greatly weakened by the insufficient demand-side and supply-side driving forces stemming from farmers’ limited awareness and capacity. Building an agent-based model and taking Hami City, Xinjiang in northwestern China as the ca

BACKGROUND: Little is known about whether the recommended, non-pharmacological treatments for chronic pain yield reductions in healthcare utilization, social costs and increased productivity in actual practice.METHODS: The primary aim of this study ( n = 232) was to conduct secondary analyses of health economic outcomes using data from national registries combined with clinical outcome data from a