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Azarm, C., Acar, E., & van Zeelt, M. (2024). On the Potential of Network-Based Features for Fraud Detection. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2402.09495 -
Amin, C., Wahab Hasyim, A., Sun'an, M., Yetty, Millanida Hilman, R., & Fahmiasari, H. (2024). Impact of increasing local economic capacity on reducing maritime logistics costs in island Province of eastern Indonesia: A dynamic system approach. Transportation Research Interdisciplinary Perspectives, 27, Article 101195. https://doi.org/10.1016/j.trip.2024.101195 -
Amanatidis, G., Birmpas, G., Fusco, F., Lazos, P., Leonardi, S., & Reiffenhäuser, R. (2024). Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness. Mathematics of operations research, 49(4), 2425-2445. https://doi.org/10.1287/moor.2022.0058 -
Jansen in de Wal, J., van Alphen, T., Schuitema, J., Andre, L., Jongerling, J., & Peetsma, T. (2024). The relationship between teachers’ stress and buoyancy from day to day: Two daily diary studies. Contemporary Educational Psychology, 77, Article 102276. https://doi.org/10.1016/j.cedpsych.2024.102276 -
Hoyer, K., Zeelenberg, M., & Breugelmans, S. M. (2024). Greed: What Is It good for? Personality and Social Psychology Bulletin, 50(4), 597-612. https://doi.org/10.1177/01461672221140355 -
Behnke, G., & Steinmetz, M. (2024). On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2403.17826 -
Wang, B., Kes, M. B. M. J., van den Berg van Saparoea, A. C. H., Dugar, G., Luirink, J., & Hamoen, L. W. (2024). Inactivation of the conserved protease LonA increases production of xylanase and amylase in Bacillus subtilis. Microbial Cell Factories, 23, Article 335. https://doi.org/10.1186/s12934-024-02616-6 -
Stirnkorb, S. (2024). Transaction cost unbundling and investors’ reliance on investment research: Evidence from experimental asset markets. Accounting, Organizations and Society, 112, Article 101542. https://doi.org/10.1016/j.aos.2024.101542 -
Mokhberian, N., Marmarelis, M. G., Hopp, F. R., Basile, V., Morstatter, F., & Lerman, K. (2024). Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. In K. Duh, H. Gomez, & S. Bethard (Eds.), The 2024 Conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the conference: NAACL 2024 : June 16-21, 2024 (Vol. 1, pp. 7337-7349). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-long.407
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