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- Simon, Carlo; Haag, Stefan; Zakfeld, Lara
- Simulation taktgesteuerter Modelle von Push- und Pull-Prozessen in der Logistik
- Anwendungen und Konzepte in der Wirtschaftsinformatik. Bd. 13. Luzern, CHE: AKWI 2021 S. 27 - 33
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- Measurements of mixed harmonic cumulants in Pb–Pb collisions at sNN=5.02 TeV
- Physics Letters B. Bd. 818. Elsevier B.V. 2021 S. 1 - 23 136354
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- K0S- and (anti-)Λ-hadron correlations in pp collisions at s√=13 TeV
- The European Physical Journal C. Bd. 81. H. 10. Springer Science and Business Media LLC 2021 S. 1 - 26
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- Measurement of the Cross Sections of Ξc0 and Ξc+ Baryons and of the Branching-Fraction Ratio BR(Ξc0→Ξ−e+νe)/BR(Ξc0→Ξ−π+) in pp Collisions at s=13 TeV
- Physical Review Letters. Bd. 127. H. 27. American Physical Society (APS) 2021 S. 1 - 17 272001
- Keller, Jörg; Wendzel, Steffen
- Reversible and Plausibly Deniable Covert Channels in One-Time Passwords Based on Hash Chains
- Applied Sciences. Bd. 11. H. 2. Basel, Schweiz: MDPI 2021 S. 731 - 742
- Wutzler, Juliane
- The SEC's Revolving Door: Insights from Boards of Directors
- Accounting and the Public Interest. Bd. 20. H. 1. 2021 S. 138 - 171
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- First measurements of N-subjettiness in central Pb−Pb collisions at sNN‾‾‾‾√=2.76 TeV
- Journal of High Energy Physics. Bd. 2021. H. 10. Springer Science and Business Media LLC 2021 S. 1 - 29 3
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- Measurement of the production cross section of prompt Ξ0c baryons at midrapidity in pp collisions at s√ = 5.02 TeV
- Journal of High Energy Physics. Bd. 2021. H. 10. Springer Science and Business Media LLC 2021 S. 1 - 26 159
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- Experimental Evidence for an Attractive p−ϕ Interaction
- Physical Review Letters. Bd. 127. H. 17. American Physical Society (APS) 2021 S. 1 - 18 172301
- Faralli, Stefano; Rittinghaus, Steve; Samsami, Nima et al.
- Emotional Intensity-based Success Prediction Model for Crowdfunded Campaigns
- Information Processing & Management. Bd. 58. H. 1. Elsevier B.V. 2021 102394