‚Doing law‘ als Normkollision. Das Beispiel ‚Reichsbürger:innen‘

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  1. Automatic imitation of pro- and antisocial gestures
  2. Schreiben in der Fremdsprache lehren und lernen
  3. Fallarbeit als Angebot – fallbasiertes Lernen als Nutzung
  4. How to measure the substantive representation of traditionally excluded groups in comparative research
  5. A Process Perspective on Organizational Failure
  6. Investigation and Modelling of the Influence of Cooling Rates on the Microstructure of AZ91 Alloys
  7. Perfect
  8. Probing alignment of personal and organisational values for sustainability
  9. Divide and Share
  10. Robust Current Decoupling in a Permanent Magnet Motor Combining a Geometric Method and SMC
  11. The new European database for chemicals of concern
  12. Estimation of physicochemical properties of 52 non-PBDE brominated flame retardants and evaluation of their overall persistence and long-range transport potential
  13. Trace Analysis of the Antineoplastics Ifosfamide and Cyclophosphamide in Sewage Water by Two-Step Solid-Phase Extraction and Gas Chromatography Mass Spectrometry
  14. Street Wisdom
  15. Planning for Sea Spaces I
  16. Naturaleza en lienzo
  17. It Matters to Whom You Compare Yourself
  18. Influence of Extrusion Rate on Microstructure and Mechanical Properties of Magnesium Alloy AM60 and an AM60-Based Metal Matrix Nanocomposite
  19. art thinking doing art: Artistic Practices in Educational Contexts from 1900 to Today
  20. Versteigern statt Verschenken!
  21. The Continuities of Twitter Strategies and Algorithmic Terror
  22. Knowledge Production in Consulting Teams
  23. With or Without U?
  24. Centralized and decentral approaches to succeed the 100% energiewende in Germany in the European context – A model-based analysis of generation, network, and storage investments
  25. Learning processes for interpersonal competence development in project-based sustainability courses – insights from a comparative international study
  26. Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods