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Hochschule Worms
- Panitz, Robert; Glückler, Johannes
- Network stability in organizational flux: The case of in-house management consulting
- Social Networks. Bd. 61. Amsterdam: Elsevier 2020 S. 170 - 180
- Sudharshan, Vishnu
- Object Detection Routine for Material Streams Combining RGB and Hyperspectral Reflectance Data Based on Guided Object Localization
- IEEE SENSORS JOURNAL. Bd. 20. H. 19. 2020 S. 11490 - 11498
- Hopfgartner, Frank; Joho, Hideo; Gurrin, Cathal
- Guest editorial
- Online Information Review. Bd. 44. H. 2. Bradford: Emerald 2020 S. 477 - 481
- Pätzold, Henning
- Comment les sociétés apprennent-elles?
- Education permanente : Zeitschrift für Weiterbildung : revue de formation continue. H. 1. Zürich: Schweizerischer Verband für Weiterbildung 2020 S. 6 - 8
- Jindal, Anish; Kronawitter, Jakob; Kühn, Ramona et al.
- A flexible ICT architecture to support ancillary services in future electricity distribution networks: an accounting use case for DSOs
- Energy Informatics. Bd. 3. Gorgan: Gorgan University of Agricultural Sciences and Natural Resources 2020
- Bakenecker, Anna C.; von Gladiss, Anselm; Friedrich, Thomas et al.
- 3D-Printing with Incorporated Iron Particles for Magnetic Actuation and MPI
- International Journal on Magnetic Particle Imaging. Bd. 6. H. 1. Lübeck: Infinite Science Publishing 2020
- Acharya, S.; Adamová, D.; Keidel, R. et al.
- Measurement of the (anti-)3He elliptic flow in Pb–Pb collisions at sNN=5.02TeV
- Physics Letters B. Bd. 805. Elsevier B.V. 2020 S. 1 - 24 135414
- Schmidt, Ann-Kathrin; Pudelko, Karoline; Boekenkamp, Jan-Eric et al.
- The p53/p73 - p21ᶜᴵᴾ¹ tumor suppressor axis guards against chromosomal instability by restraining CDK1 in human cancer cells
- Oncogene. Bd. 40. London: Springer Nature 2020 S. 436 - 451
- Pape, Sebastian; Paci, Federica; Jürjens, Jan et al.
- Selecting a Secure Cloud Provider - An Empirical Study and Multi Criteria Approach
- Information. Bd. 11. H. 5. Basel: MDPI 2020
- Newmiwaka, Tobias; Engelhardt, Benjamin; Wendland, Philipp et al.
- SEEDS: data driven inference of structural model errors and unknown inputs for dynamic systems biology
- Bioinformatics. Bd. 37. H. 9. Oxford: Oxford University Press 2020 S. 1330 - 1331