Amidst rapid developments in digital financial technologies, the need for effective Decentralized Finance (DeFi) regulation is at the center of discussions. This paper aims to develop a comprehensive taxonomy for DeFi that brings to the forefront the diverse structures and characteristics of...

The work provides a method for classifying blockchains and crypto-assets, facilitating their comparison for business and regulatory purposes. Blockchains - and more generally systems based on Distributed Ledger Technology (DLT) - adopt different technologic configurations, each distinguished by...

Zero-shot classification refers to assigning a label to a text (sentence, paragraph, whole paper) without prior training. This is possible by teaching the system how to codify a question and find its answer in the text. In many domains, especially health sciences, systematic reviews are...

An outlier is a datum that is far from other data points in which it occurs. It can have a considerable impact on the output. Therefore, removing or resolving it before the analysis is essential to prevent skewing. Outliers in a survey sampling can have a significant outcome on statistical...

Data breaches have been causing havoc for many years and continue to rise, demanding a more comprehensive framework to assess their severity. This study proposes a cybersecurity risk quantification and classification framework, addressing a significant research gap in breach severity evaluation....