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Roggeband, C., & Krizsán, A. (2024). Autocratization and gender politics. In A. Croissant, & L. Tomini (Eds.), The Routledge Handbook of Autocratization (pp. 397-412). (Routledge International Handbooks). Routledge. https://doi.org/10.4324/9781003306900-32 -
Marzella, D. F., Crocioni, G., Radusinović, T., Lepikhov, D., Severin, H., Bodor, D. L., Rademaker, D. T., Lin, C., Georgievska, S., Renaud, N., Kessler, A. L., Lopez-Tarifa, P., Buschow, S. I., Bekkers, E., & Xue, L. C. (2024). Geometric deep learning improves generalizability of MHC-bound peptide predictions. Communications biology, 7, Article 1661. https://doi.org/10.1038/s42003-024-07292-1 -
Finazzi, L., Martens, J., Berden, G., & Oomens, J. (2024). Probing radical versus proton migration in the aniline cation with IRMPD spectroscopy. Molecular Physics, 122(1-2), Article e2192307. https://doi.org/10.1080/00268976.2023.2192307 -
Beyens, I., Keijsers, L., & Valkenburg, P. M. (2024). Development, validity, and reliability of the parent-adolescent communication about adolescents’ social media use scale (PACAS). Journal of Children and Media, 18(2), 159-177. https://doi.org/10.1080/17482798.2023.2299828 -
Kučinskas, S., & Peters, F. S. (2024). Measuring Under- and Overreaction in Expectation Formation. Review of Economics and Statistics, 106(6), 1620-1637. https://doi.org/10.1162/rest_a_01255 -
Zimmer, F., Franco Abellán, G., & Ando, S. (2024). Effects of primordial fluctuations on relic neutrino simulations. Journal of Cosmology and Astroparticle Physics, 2024(10), Article 098. https://doi.org/10.1088/1475-7516/2024/10/098 -
Linssen, H., de Knegt, H. J., & Eikelboom, J. A. J. (2024). Unveiling the roles of temporal periodicity, the spatial environment and behavioural modes in terrestrial animal movement. Movement Ecology, 12, Article 57. https://doi.org/10.1186/s40462-024-00489-3 -
Pircher Verdorfer, A., & Arendt, J. F. W. (2024). Mindful together: examining the effect of mindfulness congruence on the quality of leader-follower relationships. Current Psychology, 43(47), 36202–36214. https://doi.org/10.1007/s12144-024-07080-4 -
Belomestny, D., van der Meulen, F., & Spreij, P. (2024). Nonparametric Bayesian inference for stochastic processes with piecewise constant priors. In D. R. Wood, J. de Gier, & C. E. Praeger (Eds.), 2021-2022 MATRIX Annals (Vol. 5, pp. 527-568). (Matrix Book Series; Vol. 5). Springer. https://doi.org/10.1007/978-3-031-47417-0_28
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