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Results: 80,394
Number of items: 80,394
  • Open Access
    Bowman, N. D., Yoshimura, K., Bohaty, E., & Condis, M. (2024). “Makes Me Feel Like I Was Born in the Wrong Era”: Gamer Self-Efficacy and Appreciation, Rather Than Controller Type, Correlate With Historical Nostalgia When Playing a Retrogame. Psychology of Popular Media, 13(3), 395–406. https://doi.org/10.1037/ppm0000492
  • Open Access
    Slomp, M. (2024). Decoding the control of food intake: Insights from the habenula and hypothalamus. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kwakman, R. C. H. (2024). Physical recovery after critical illness: Enhancements in physiotherapeutic care: From ICU to home. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kooij, S., Chojnacka, A., Bonn, D., Corthals, G. L., & van Rijn, C. J. M. (2024). Electroless Ionization Mass Spectrometry Using a Compact Electrokinetic Ionization Source. Analytical Chemistry, 96(27), 10978-10985. https://doi.org/10.1021/acs.analchem.4c01403
  • Open Access
    Mertens, L. M. Y. (2024). Morphogenesis of the Escherichia coli cell envelope. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Meulendijks, E. R. (2024). The interplay between epicardial adipose tissue and atrial fibrillation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Aschersleben, J., Bertone, G., Horns, D., Moulin, E., Peletier, R. F., & Vecchi, M. (2024). Gamma rays from dark matter spikes in EAGLE simulations. Journal of Cosmology and Astroparticle Physics, 2024(9), Article 005. https://doi.org/10.1088/1475-7516/2024/09/005
  • Open Access
    van Domselaar, I. (2024). Recht, ethiek en de schreeuw van Filoktetes: Wat juristen burgers verschuldigd zijn. Boom.
  • Open Access
    Jagt, J. Z. (2024). Paediatric inflammatory bowel disease: Moving towards tailored diagnostic and treatment approaches. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal - Digital Health, 5(5), 542-550. https://doi.org/10.1093/ehjdh/ztae049
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