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Due to the COVID-19 crisis schools and universities all around the world were forced to use digital learning methods. But even assuming a seamless transition to digital platforms, good Online Learning tools do not imply good content and a good presentation of the content. This article describes the approach of a project funded by the European Union to create brain-stimulating Online Learning content which combines elements from classic didactics with elements from neurodidactics and aims to add value to Online Learning. It also suggests that further research should be conducted in other contexts, such as schools and universities, to describe how brain-stimulating Online Learning content could bring more value to Online Learning content.

Abstract. While column-oriented in-memory databases have been primarily designed to support fast OLAP queries and business intelligence applications, their analytical performance makes them a promising platform for data mining tasks found in life sciences. One such system is the HANA database, SAP's in-memory data management solution. In this contribution we show how HANA meets some inherent requirements of data mining in life sciences. Furthermore, we conducted a case study in the area of proteomics research. As part of this study we implemented a proteomics analysis pipeline in HANA. We also implemented a flexible data analysis toolbox that can be used by life sciences researchers to easily design and evaluate their analysis models.