1. Teaching transposon classification as a means to crowd source the curation of repeat annotation – a tardigrade perspective 

   Peona V.; Martelossi J.; Almojil D.; et al. (2024)

   Mobile DNA

   Background: The advancement of sequencing technologies results in the rapid release of hundreds of new genome assemblies a year providing unprecedented resources for the study of genome evolution. Within this context, the significance of in-depth analyses of repetitive elements, transposable elements (TEs) in particular, is increasingly recognized in understanding genome evolution. Despite the plethora of available bioinformatic tools for ...

   Journal Article

2. Sync fast and solve things—best practices for responsible digital health 

   Landers C.; Blasimme A.; Vayena E. (2024)

   npj Digital Medicine

   Digital health innovation is expected to transform healthcare, but it also generates ethical and societal concerns, such as privacy risks, and biases that can compound existing health inequalities. While such concerns are widely recognized, existing regulatory principles, oversight methods and ethical frameworks seem out of sync with digital health innovation. New governance and innovation best practices are thus needed to bring such ...

   Journal Article

3. Enhancing the Adoption of Additive Manufacturing in Industry using Principles of Agile Hardware Development 

   Omidvarkarjan, Daniel (2024)

   Additive manufacturing (AM) technologies are increasingly adopted for the development and production of physical products. Nevertheless, the industrial adoption of AM still represents a major challenge for manufacturing companies. AM can lead to significant implications at the adopting firm, with the potential to fundamentally transform existing value chains. One promising approach to overcome the uncertainty and complexity of AM adoption ...

   Doctoral Thesis

4. Electrically active defects induced by thermal oxidation and post-oxidation annealing of n-type 4H-SiC 

   Kumar, P.; Bathen, M. E.; Martins, M. I. M.; et al. (2024)

   Journal of Applied Physics

   Journal Article

5. Dataset for the Article "TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars" 

   Ronco, Andrea (2024)

   Dataset

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