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Keller, B. G., & Bolhuis, P. G. (2024). Dynamical Reweighting for Biased Rare Event Simulations. Annual Review of Physical Chemistry, 75, 137-162. https://doi.org/10.1146/annurev-physchem-083122-124538 -
XENON Collaboration, Aprile, E., Angevaare, J. R., Bruenner, S., Colijn, A. P., Decowski, M. P., Di Pede, S., Flierman, M. E., Gaemers, P., Pierre, M. M. M., & Pollmann, T. R. (2024). Effective field theory and inelastic dark matter results from XENON1T. Physical Review D. Particles, Fields, Gravitation, and Cosmology, 109(11), Article 112017. https://doi.org/10.1103/PhysRevD.109.112017 -
Berbers, S. V. J., Proaño Gaibor, A. N., Ligterink, F., Neevel, J. G., Reissland, B., & van der Werf, I. D. (2024). Shades of violet: Study of the compositional variability of historical Methyl violet dyes. Journal of Cultural Heritage, 66, 464-475. https://doi.org/10.1016/j.culher.2023.12.017 -
Hoekstra, A. G., Marquering, H., & GEMINI consortium (2024). Towards a Generation of Digital Twins in Healthcare of Ischaemic and Haemorrhagic Stroke. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024 : proceedings (Vol. III, pp. 239-245). (Lecture Notes in Computer Science; Vol. 14834). Springer. https://doi.org/10.1007/978-3-031-63759-9_29 -
Parrenin, A., Kooij, S., van Rijn, C. J. M., & Bonn, D. (2024). Effect of coalescence on the propagation of water droplets from a jet. Physics of Fluids, 36(10), Article 103323. https://doi.org/10.1063/5.0221806 -
Armas, J., & Nicosia, G.-P. (2024). New asymptotically (anti)-de Sitter black holes in (super)gravity. Journal of High Energy Physics, 2024(9), Article 47. https://doi.org/10.1007/JHEP09(2024)047 -
Föllmer, B., Williams, M. C., Dey, D., Arbab-Zadeh, A., Maurovich-Horvat, P., Volleberg, R. H. J. A., Rueckert, D., Schnabel, J. A., Newby, D. E., Dweck, M. R., Guagliumi, G., Falk, V., Vázquez-Mézquita, A. J., Biavati, F., Išgum, I., & Dewey, M. (2024). Roadmap on the Use of Artificial Intelligence for Imaging of Vulnerable Atherosclerotic Plaque in Coronary Arteries. In I. Sack, & T. Schaeffter (Eds.), Quantification of Biophysical Parameters in Medical Imaging (2nd ed., pp. 547–568). Springer. https://doi.org/10.1007/978-3-031-61846-8_27 -
Wildenburg, F., Hanna, M., & Pezzelle, S. (2024). Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics : Findings of the Association for Computational Linguistics: ACL 2024: ACL 2024 : August 11-16, 2024 (pp. 9598-9613). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2402.12486, https://doi.org/10.18653/v1/2024.findings-acl.572 -
Zhang, X., Skoric, V., & Sileno, G. (2024). Automating Fundamental Right Impact Assessment: An Open Experiment. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems: JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 (pp. 204-214). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press. https://doi.org/10.3233/FAIA241246 -
Cambie, S., Haxell, P., Kang, R. J., & Wdowinski, R. (2024). A Precise Condition for Independent Transversals in Bipartite Covers. SIAM Journal on Discrete Mathematics, 38(2), 1451-1461. https://doi.org/10.1137/23M1600384
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