Symmetry, Integrability and Geometry: Methods and Applications (SIGMA)

Fachzeitschrift: Zeitschrift

Zuletzt angesehen

Publikationen

  1. Modelling scenarios to identify a combined sediment-water management strategy for the large reservoirs of the Tuyamuyun hydro-complex
  2. End-to-End Active Speaker Detection
  3. Drafts in Action
  4. Self-Regulated Learning with Expository Texts as a Competence
  5. Proposing a social-ecological framework for successful grassland restoration in Germany—an overview and insights from the Grassworks project
  6. The Influence of Terrorism on Expatriate Performance: a Conceptual Approach
  7. Transfer of metacognitive skills in self-regulated learning
  8. Self-Compassion as a Facet of Neuroticism? A Reply to the Comments of Neff, Tóth-Király, and Colosimo (2018)
  9. Resource selection by sympatric wild equids in the Mongolian Gobi
  10. Value-based management in banking
  11. Design It!
  12. Empirische Erfassung eines „messy constructs“
  13. I Am Not A Hacker
  14. Kombinatorik mit Ziffernkarten
  15. Gemeinsam lernen mit Selbstlernprogrammen
  16. The challenge of managing multiple species at multiple scales
  17. Back to the future
  18. Temporary organizing and acceleration
  19. Portal als Experimentalsystem
  20. A review of FEM code accuracy for reliable extrusion process analysis
  21. Multimodal analysis of spatially heterogeneous microstructural refinement and softening mechanisms in three-pass friction stir processed Al-4Si alloy
  22. Leveling up? An inter-neighborhood experiment on parochialism and the efficiency of multi-level public goods provision
  23. Microstructure and properties of magnesium alloy Mg-1Zn-1Ca (Zx11)
  24. Europe and the Media
  25. Logotoaster
  26. Predictive modeling in e-mental health
  27. Paradigm shift
  28. Gutes Leben vor Ort
  29. Demographic change in work organizations
  30. Generalising IRT to Discriminate Between Examinees
  31. The five-factor asset pricing model – A theoretical review and assessment
  32. Forecasting Government Bond Yields with Neural Networks Considering Cointegration