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To accomplish its mission, the European Centre for Nuclear Research (CERN, Switzerland) is committed to the continuous development of its personnel through a systematic and sustained learning culture, that aims at keeping the knowledge and competences of the personnel in line with the evolving needs of the organisation. With this goal in mind, CERN supports learning in its broadest sense and promotes a variety of learning methods. Over the last few years, CERN has focused its efforts on expanding the learning opportunities of its personnel via newly available software and e-learning tools and methodologies, thereby bringing a shift in the learning culture of the organisation. In September 2018, CERN launched a new Learning Management System centralising all learning opportunities in a single platform, the CERN Learning Hub. In addition, new e-learning resources are now widely available to the personnel, including customised internally created e-learnings, an e-library, a commercial e-learning platform for self-paced learning and online surveys (180 feedback tools for CERN managers and leaders). This paper presents the experience gained by CERN in testing and adopting these new e-learning technologies and discusses the future vision for CERN.

The number of BYOD continuously grows at CERN. Additionally, it is desirable to move from a centrally managed model to a distributed model where users are responsible for their own devices. Following this strategy, the new tools have to be provided to distribute and - in case of licensed software - also track applications used by CERN users. The available open source and commercial solutions were analyzed and none of them proved to be a good fit for CERN use cases. Therefore, it was decided to develop a system that could integrate various open source solutions and provide desired functionality for multiple platforms, both mobile and desktop. This paper presents the architecture and design decisions made to achieve a platform-independent, modern, maintainable and extensible system for software distribution at CERN.

There are many reports describing chromosome structure, organization and evolution within goatgrasses (Aegilopsspp.). Chromosome banding and fluorescencein situhybridization techniques are main methods used to identifyAegilopsLinnaeus, 1753 chromosomes. These data have essential value considering the close genetic and genomic relationship of goatgrasses with wheat (TriticumaestivumLinnaeus, 1753) and triticale (×TriticosecaleWittmack, 1899). A key question is whether those protocols are useful and effective for trackingAegilopschromosomes or chromosome segments in genetic background of cultivated cereals. This article is a review of scientific reports describing chromosome identification methods, which were applied for development of prebreeding plant material and for transfer of desirable traits intoTriticumLinnaeus, 1753 cultivated species. Moreover, this paper is a resume of the most efficient cytomolecular markers, which can be used to follow the introgression ofAegilopschromatin during the breeding process.