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Schemschat, N. (2024). Multiscalar and In/Formal: Infrastructuring Refugee Arrival in Disempowered Cities. Urban Planning, 9, Article 8702. https://doi.org/10.17645/up.8702 -
Paraschos, G. F., Markoff, S., Mulaudzi, W., Musoke, G., Porth, O., Sosapanta Salas, L. D., Yoon, D., & The Event Horizon Telescope Collaboration (2024). Ordered magnetic fields around the 3C 84 central black hole. Astronomy & Astrophysics, 682, Article L3. https://doi.org/10.1051/0004-6361/202348308 -
Beck, T., Ioannidou, V., Perotti, E., Sánchez Serrano, A., Suarez, J., & Vives, X. (2024). Addressing banks’ vulnerability to runs, part 2: Policy options. Web publication or website, VoxEU. https://cepr.org/voxeu/columns/addressing-banks-vulnerability-runs-part-2-policy-options -
Jungerius, C., Perizonius, S., & Slagter, H. A. (2024). Reduced contextual uncertainty facilitates learning what to attend to and what to ignore. Attention, Perception, and Psychophysics, 86(6), 1861-1871. https://doi.org/10.3758/s13414-024-02945-z -
Mann, Z. Á., Petit, J., Thornton, S. M., Buchholz, M., & Millar, J. (2024). SPIDER: Interplay Assessment Method for Privacy and Other Values. In Proceedings 9th IEEE European Symposium on Security and Privacy Workshops: EuroS&PW 2024 : 8-12 July 2024, Vienna, Austria (pp. 1–8). IEEE Computer Society. https://doi.org/10.1109/eurospw61312.2024.00007 -
Igashov, I., Stärk, H., Vignac, C., Schneuing, A., Satorras, V. G., Frossard, P., Welling, M., Bronstein, M., & Correia, B. (2024). Equivariant 3D-conditional diffusion model for molecular linker design. Nature Machine Intelligence, 6(4), 417–427. https://doi.org/10.1038/s42256-024-00815-9 -
Rajaee, S., & Monz, C. (2024). Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of the Conference: EACL 2024 : March 17-22, 2024 (Vol. 1, pp. 2895–2914). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.177
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