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The Russian aggression against Ukraine is a conflict that goes beyond, in common perception, the "ordinariness" of wars and it strikes us because, in our not yet post-colonial consciousness, it is perceived as "European". Analyzes based on the strategy and characteristics of international systems are insufficient. A deeper, radical level is needed. Beyond the union between fear and boundaries, the real fault line in the world politics passes between geopolitics and biopolitics. The fundamental theme is that of man's life on earth, of his existence, of the conditions of the human dignity, of fundamental human rights, including the right to peace and the trans-generational right to planetary integrity. [ABSTRACT FROM AUTHOR]

Artificial Intelligence of things (AIoT) is the combination of Artificial Intelligence (AI) technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' learning process to acquire knowledge from data and experience, while IoT concerns devices interacting with each other using the Internet. AIoT has been proven to be a very effective paradigm for several existing applications as well as for new areas, especially in the field of satellite communication systems with mega-constellations. When AIoT meets space communications efficiently, we have interesting uses of AI for Satellite IoT (SIoT). In fact, the number of space debris is continuously increasing as well as the risk of space collisions, and this poses a significant threat to the sustainability and safety of space operations that must be carefully and efficiently addressed to avoid critical damage to the SIoT networks. This paper aims to provide a systematic survey of the state of the art, challenges, and perspectives on the use of deep learning methods for space situational awareness (SSA) object detection and classification. The contributions of this paper can be summarized as follows: (i) we outline using AI algorithms, and in particular, deep learning (DL) methods, the possibility of identifying the nature/type of spatial objects by processing signals from radars; (ii) we present a comprehensive taxonomy of DL-based methods applied to SSA object detection and classification, as well as their characteristics, and implementation issues. [ABSTRACT FROM AUTHOR]

Maenads in pop culture are usually women with a strong eroticism, distinguished by sexual addiction and pure lust, malice, and murders. However, the maenads in Ancient Greek iconography and drama were completely different, not connected to the sexual sphere or to the manipulation of men. Ancient Greek maenads preserve their chastity, and their task is to honor Dionysus with dances and rites. The aim of this paper is to reconstruct the common thread that has led to this contemporary sexual and gloomy distinctive characterization of maenads in modern media and to understand where this dark vision of maenadism comes from. The stages on this journey through times past are the Bacchanalia scandal (186 B.C.), the black legend of Messalina, some cases of Christian condemnations, and the conception of maenads during the Renaissance and Victorian Hellenism. [ABSTRACT FROM AUTHOR]