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Gatuzz, E., Gorczyca, T. W., Hasoglu, M. F., Costantini, E., Garcia, J. A., & Kallman, T. R. (2024). Sulphur X-ray absorption in the local ISM. Monthly Notices of the Royal Astronomical Society, 527(2), 1648-1655. https://doi.org/10.1093/MNRAS/STAD3231 -
Hövel, I., Bader, R., Louwers, M., Haring, M., Peek, K., Gent, J. I., & Stam, M. (2024). RNA-directed DNA methylation mutants reduce histone methylation at the paramutated maize booster1 enhancer. Plant Physiology, 195(2), 1161-1179. https://doi.org/10.1093/plphys/kiae072 -
Gaillard, A., Herrada, M. A., Deblais, A., Eggers, J., & Bonn, D. (2024). Beware of CaBER: Filament thinning rheometry does not always give 'the' relaxation time of polymer solutions. Physical Review Fluids, 9(7), Article 073302. https://doi.org/10.1103/PhysRevFluids.9.073302 -
Bomans, A. J., & Roessingh, P. (2024). Decision Change: The First Step to System Change. Sustainability (Switzerland), 16(6), Article 2372. https://doi.org/10.3390/su16062372 -
Schjøtt Hansen, A., & Luitse, D. (2024). The Politics of Machine learning Evaluation: From Lab to Industry. In AoIR2024: Research from the Annual Conference of the Association of Internet Researchers (Selected Papers of Internet Research; Vol. 2024). Association of Internet Researchers. https://doi.org/10.5210/spir.v2024i0.13991 -
Cirigliano, V., Dekens, W., de Vries, J., Gandolfi, S., Hoferichter, M., & Mereghetti, E. (2024). Radiative Corrections to Superallowed 𝛽 Decays in Effective Field Theory. Physical Review Letters, 133(21), Article 211801. https://doi.org/10.1103/PhysRevLett.133.211801 -
van den Broek, M., Agondeze, S., Greene, M. C., Kasujja, R., Guevara, A. F., Kisakye Tukahiirwa, R., Kohrt, B. A., & Jordans, M. J. D. (2024). A community case detection tool to promote help-seeking for mental health care among children and adolescents in Ugandan refugee settlements: a stepped wedge cluster randomised trial. The Lancet Child and Adolescent Health, 8(8), 571-579. https://doi.org/10.1016/S2352-4642(24)00130-5 -
Patil, A., Jumelet, J., Chiu, Y. Y., Lapastora, A., Shen, P., Wang, L., Willrich, C., & Steinert-Threlkeld, S. (2024). Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence. Transactions of the Association for Computational Linguistics, 12, 1597-1615. https://doi.org/10.1162/tacl_a_00720
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