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Results: 218,660
Number of items: 218,660
  • Open Access
    Kroon, E., Kuhns, L., Dunkerbeck, A., & Cousijn, J. (2023). The who and how of attentional bias in cannabis users: associations with use severity, craving and interference control. Addiction, 118(2), 307-316. https://doi.org/10.1111/add.16059
  • Open Access
    Kropman, M., van Drie, J., & van Boxtel, C. (2023). The influence of multiperspectivity in history texts on students’ representations of a historical event. European Journal of Psychology of Education, 38, 1295-1315. https://doi.org/10.1007/s10212-022-00644-7
  • Open Access
    Arps, A. (2023). Forever Narrating “Merdeka”: Memori Melompat, Popular Culture, and the Indonesian War of Independence. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jolivet, D. (2023). Revisiting the role of welfare in migration: The case of Moroccan migration towards Europe. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Wölke, F. J. R., Cabral, A., Lim, J. Y., Kissling, W. D., & Onstein, R. E. (2023). Africa as an evolutionary arena for large fruits. New Phytologist, 240(4), 1574-1586. https://doi.org/10.1111/nph.19061
  • Open Access
    Deuze, M. (2023). Considering mental health and well-being in media work. Australian Journalism Review, 45(1), 15-26. https://doi.org/10.1386/ajr_00115_7
  • Open Access
    van Ooijen-van der Linden, L., Pareja Roblin, N., Nak, J., Jong, I., & Griffioen, D. M. E. (2023). Changes in curriculum learning goals. In D. M. E. Griffioen (Ed.), Creating the desire for change in Higher Education: The Amsterdam path to the research-teaching nexus (pp. 149-173). Bloomsbury Academic. https://doi.org/10.5040/9781350244801.ch-6
  • Open Access
    Wallner, T. S., Snel, S., Magnier, L., & Mugge, R. (2023). Contaminated by Its Prior Use: Strategies to Design and Market Refurbished Personal Care Products. Circular Economy and Sustainability, 3(2), 1077–1098. https://doi.org/10.1007/s43615-022-00197-3
  • Open Access
    Gabel, A., Klein, V., Valperga, R., Lamb, J. S. W., Webster, K., Quax, R., & Gavves, E. (2023). Learning Lie Group Symmetry Transformations with Neural Networks. Proceedings of Machine Learning Research, 221, 50-59. https://proceedings.mlr.press/v221/gabel23a.html
  • Open Access
    Kramer, A.-W., Schaaf, J. V., & Huizenga, H. M. (2023). How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks. Learning and Individual Differences, 108, Article 102375. https://doi.org/10.1016/j.lindif.2023.102375
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