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Richard, F., Hermans, J. J., & Angelova , L. (2024). Rigid Solvent-Gels in Paper Conservation: A New Approach to Sticky Problems. Journal of Paper Conservation, 25 (2), 86-106. https://doi.org/10.1080/18680860.2024.2343671 -
Mead, J. V., PTOLEMY Collaboration, Apponi, A., Betti, M., Borghesi, M., Castellano, O., Cavoto, G., Celasco, E., Colijn, A., el Morabit, S., & Zimmer, F. (2024). PTOLEMY: Relic neutrino direct detection. Proceedings of Science, 441, Article 203. https://doi.org/10.22323/1.441.0203 -
Wijne, R. (2024). Vaders minder centraal? de centrale aansprakelijkheid in relatie tot de rechtspositie van de vader in wrongful life en wrongful birth-situaties. In W. Kastelein, C. Ploem, & J. Sijmons (Eds.), Goed gezondheidsrecht: De maat van Legemaate : liber amicorum voor Johan Legemaate (pp. 261-270). Boom. -
Bangale, P., Bhattacharyya, B., Camilo, F., Clark, C. J., Cognard, I., DeCesar, M. E., Ferrara, E. C., Gentile, P., Guillemot, L., Hessels, J. W. T., Johnson, T. J., Kerr, M., McLaughlin, M. A., Nieder, L., Ransom, S. M., Ray, P. S., Roberts, M. S. E., Roy, J., Sanpa-Arsa, S., ... Wolff, M. T. (2024). A 350 MHz Green Bank Telescope Survey of Unassociated Fermi LAT Sources: Discovery and Timing of 10 Millisecond Pulsars. Astrophysical Journal, 966(2), Article 161. https://doi.org/10.3847/1538-4357/ad2994 -
Soeteman, A., & van Lambalgen, M. (2024). Spatial unity for the apperception engine. International Journal of Approximate Reasoning, 165, Article 109106. https://doi.org/10.1016/j.ijar.2023.109106 -
Ragone, G., Brulé, E., Howland, K., & Good, J. (2024). From Music Therapist to Action Research Designer: A Narrative Account. In S. Aithal, & V. Karkou (Eds.), Arts Therapies Research and Practice with Persons on the Autism Spectrum: Colourful Hatchlings (pp. 182-194). (International Research in the Arts Therapies; Vol. 6). Routledge. https://doi.org/10.4324/9781003201656-16 -
Meylahn, B. V., den Boer, A. V., & Mandjes, M. (2024). Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning. Chaos, 34(6), Article 063119. https://doi.org/10.1063/5.0205136
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