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Karsten, R. T., Chargi, N., van der Molen, L., van Son, R. J. J. H., de Bree, R., Al-Mamgani, A., de Boer, J. P., Hilgers, F. J. M., van den Brekel, M. W. M., Smeele, L. E., & Stuiver, M. M. (2022). Dysphagia, trismus and speech impairment following radiation-based treatment for advanced stage oropharyngeal carcinoma: a one-year prospective evaluation. European Archives of Oto-Rhino-Laryngology, 279(2), 1003–1027. https://doi.org/10.1007/s00405-021-06870-x -
Kácha, O., Vintr, J., & Brick, C. (2022). Four Europes: Climate change beliefs and attitudes predict behavior and policy preferences using a latent class analysis on 23 countries. Journal of Environmental Psychology, 81, Article 101815. https://doi.org/10.1016/j.jenvp.2022.101815 -
van den Boogaard, J. (2022). Ukraine Symposium - The Release of Prisoners of War. Web publication or website, Articles of War - Lieber Institute. https://lieber.westpoint.edu/release-prisoners-war/ -
Sarafoglou, A., van der Heijden, A., Draws, T., Cornelisse, J., Wagenmakers, E.-J., & Marsman, M. (2022). Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project. Psychology Learning and Teaching, 21(2), 138-150. https://doi.org/10.1177/14757257221077307 -
Deuze, M. (2022). The Netherlands: making it work. In T. Marjoribanks, L. Zion, P. O'Donnell, & M. Sherwood (Eds.), Journalists and Job Loss (pp. 106-117). (Routledge Research in Journalism). Routledge. https://doi.org/10.4324/9780429325588-9 -
López-Delgado, J., & Meirmans, P. G. (2022). History or demography? Determining the drivers of genetic variation in North American plants. Molecular Ecology, 31(7), 1951-1962. https://doi.org/10.1111/mec.16230 -
Pandeva, T., Bakker, T., Naesseth, C. A., & Forré, P. (2022). E-Valuating Classifier Two-Sample Tests. ArXiv. https://doi.org/10.48550/arXiv.2210.13027 -
Marschlich, S. (2022). Einstellungen gegenüber Medien. Jahrbuch Qualität der Medien, 2022, 131-137. https://doi.org/10.24894/978-3-7965-4646-4 -
Grafberger, S., Groth, P., Stoyanovich, J., & Schelter, S. (2022). Data distribution debugging in machine learning pipelines. VLDB Journal, 31(5), 1103-1126. https://doi.org/10.1007/s00778-021-00726-w
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