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de Vries, O. T., Duken, S. B., Kindt, M., & van Ast, V. A. (2024). No evidence that arousal affects reactivated memories. Neurobiology of Learning and Memory, 212, Article 107928. https://doi.org/10.1016/j.nlm.2024.107928 -
Barbereau, T., Weigl, L., & Pocher, N. (2024). Financial Regulation, Political Context, and Technology in the European Union. In G. Fridgen, T. Guggenberger, J. Sedlmeir, & N. Urbach (Eds.), Decentralization Technologies: Financial Sector in Change (pp. 19-46). (Financial Innovation and Technology). Springer. https://doi.org/10.1007/978-3-031-66047-4_2 -
Marres, O. (2024). Kapitale onzekerheid. NLF-W, 2024, Article 24. https://www.nlfiscaal.nl/nlfiscaal-doc/FA31BA22A58746BDA5566AEC0EA8FA70 -
Wigard, I., Meyerbröker, K., Ehring, T., Topper, M., Arntz, A., & Emmelkamp, P. (2024). Skills training followed by either EMDR or narrative therapy for posttraumatic stress disorder in adult survivors of childhood abuse: a randomized controlled trial. European Journal of Psychotraumatology, 15(1), Article 2332104. https://doi.org/10.1080/20008066.2024.2332104 -
Walker, K., Faghiri, P., & van Lier, E. (2024). Argument Indexing in Kamang. Studies in Language, 48(2), 287-350. https://doi.org/10.1075/sl.21077.wal -
Zhou, C., & Hamann, S. (2024). Modelling the acquisition of the Portuguese tap by L1-Mandarin learners: A BiPhon-HG account for individual differences, syllable-position effects and orthographic influences in L2 speech. Glossa: a journal of general linguistics, 9, 1-39. https://doi.org/10.16995/glossa.9692 -
Petzold, A., Bundke, U., Hienola, A., Laj, P., Lund Myhre, C., Vermeulen, A., Adamaki, A., Kutsch, W., Thouret, V., Boulanger, D., Fiebig, M., Stocker, M., Zhao, Z., & Asmi, A. (2024). Opinion: New directions in atmospheric research offered by research infrastructures combined with open and data-intensive science. Atmospheric Chemistry and Physics, 24(9), 5369-5388. https://doi.org/10.5194/acp-24-5369-2024 -
Huang, J.-H., Yang, C.-C., Shen, Y., Pacces, A. M., & Kanoulas, E. (2024). Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4554-4562). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680025
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