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Machine learning is everywhere in our daily life. From the social media and bank sector to transportation and telecommunication, we cannot avoid using it, sometimes even without noticing that we are relying on it. Astronomy and astrophysics are no exception. From telescope time and survey telescope scheduling through object detection and classification, to cleaning images and making large simulations smarter and quicker to it is ubiquitous to use machine learning algorithms. To illustrate this silent revolution, we checked the NASA Astronomical Data System website and searched for the keyword 'machine learning' in abstracts of astronomical and astrophysical papers. In 2000 we found 56, in 2010 889, and by 2020 no less than 35,659 abstracts contained the magic two words. [ABSTRACT FROM AUTHOR]

The article presents a study that illustrates the importance of overcoming the technical difficulties in accelerating radioactive nuclei beams to help push back the boundaries of nuclear physics research.

As explained in a paper in the preceding issue of EPN [2], the bulk of the climate system is a thermal machine by which the two fluids of the Eearth envelope transport energy from low to high latitudes. The present paper emphasizes the role of interactions in the fashioning of the climate. [ABSTRACT FROM AUTHOR]

Archaeological artefacts included in cultural heritage contribute to the knowledge of our roots, which may help us to learn about our future. Although the connection between ancient times and nuclear technology seems farfetched, this paper will try to show how nuclear radiation of various kinds can be irreplaceable in the elemental composition analysis of an archaeological find. [ABSTRACT FROM AUTHOR]

"Using Twitter can be more than just a social media activity. It can be a real career incubator in which researchers can develop their professional circles, launch new research projects and get helped by the community at various stages of the projects". In a PLOS Computational Biology paper experienced scientific Twitter users share 'Ten simple rules for getting started on Twitter as a scientists' [1]. [ABSTRACT FROM AUTHOR]