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Results: 79,960
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  • Open Access
    Daller, M., Kuiken, F., Trenkic, D., & Vedder, I. (2021). Linguistic predictors of academic achievement amongst international students and home students in higher education: Introduction. International Journal of Bilingual Education and Bilingualism, 24(10), 1453-1457. https://doi.org/10.1080/13670050.2021.1909452
  • Open Access
    Rockström, J., Gupta, J., Lenton, T. M., Qin, D., Lade, S. J., Abrams, J. F., Jacobson, L., Rocha, J. C., Zimm, C., Bai, X., Bala, G., Bringezu, S., Broadgate , W., Bunn, S. E., DeClerck, F., Ebi, K. L., Gong, P., Gordon, C., Kanie, N., ... Winkelmann, R. (2021). Identifying a Safe and Just Corridor for People and the Planet. Earth’s Future, 9(4), Article e2020EF001866. https://doi.org/10.1029/2020EF001866
  • Open Access
    't Gilde, J., & Volman, M. (2021). Finding and using students’ funds of knowledge and identity in superdiverse primary schools: a collaborative action research project. Cambridge Journal of Education, 51(6), 673-692. https://doi.org/10.1080/0305764X.2021.1906845
  • Open Access
    Gupta, J., Ekins, P., & Boileau, P. (Eds.) (2021). Global Environment Outlook – GEO-6: Technical Summary. Cambridge University Press. https://doi.org/10.1017/9781108627450
  • Open Access
    Deblais, A., den Hollander, E., Boucon, C., Blok, A. E., Veltkamp, B., Voudouris, P., Versluis, P., Kim, H.-J., Mellema, M., Stieger, M., Bonn, D., & Velikov, K. P. (2021). Predicting thickness perception of liquid food products from their non-Newtonian rheology. Nature Communications, 12, Article 6328. https://doi.org/10.1038/s41467-021-26687-w
  • Open Access
    Gao, X., Swarge, B. N., Dekker, H. L., Roseboom, W., Brul, S., & Kramer, G. (2021). The membrane proteome of spores and vegetative cells of the food-borne pathogen Bacillus cereus. International Journal of Molecular Sciences, 22(22), Article 12475. https://doi.org/10.3390/ijms222212475
  • Open Access
    Brammerloh, M., Morawski, M., Friedrich, I., Reinert, T., Lange, C., Pelicon, P., Vavpetič, P., Jankuhn, S., Jäger, C., Alkemade, A., Balesar, R., Pine, K., Gavriilidis, F., Trampel, R., Reimer, E., Arendt, T., Weiskopf, N., & Kirilina, E. (2021). Measuring the iron content of dopaminergic neurons in substantia nigra with MRI relaxometry. NeuroImage, 239, Article 118255. https://doi.org/10.1016/j.neuroimage.2021.118255
  • Open Access
    Popa, E. O., & Wagemans, J. (2021). Stock issues and the structure of argumentative discussions: An integrative analysis. Journal of Pragmatics, 186, 129-141. https://doi.org/10.1016/j.pragma.2021.09.021
  • Open Access
    Hu, S., Pezzotti, N., & Welling, M. (2021). Learning to Predict Error for MRI Reconstruction. In M. de Bruijne, P. C. Cattin, S. Cotin, N. Padoy, S. Speidel, Y. Zheng, & C. Essert (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021 : proceedings (Vol. III, pp. 604-613). (Lecture Notes in Computer Science; Vol. 12903). Springer. https://doi.org/10.1007/978-3-030-87199-4_57
  • Open Access
    Heiselberg, L., Thomsen, M., & Vliegenthart, R. (2021). Emotion: The commander of the remote control? A psychophysiological approach to predict decline in TV ratings. Series International Journal of TV Serial Narratives, 7(1), 103-114. https://doi.org/10.6092/issn.2421-454X/11205
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