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Results: 80,477
Number of items: 80,477
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Abbott, R., LIGO Scientific Collaboration, Virgo Collaboration, & KAGRA Collaboration (2023). Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3. Physical Review X, 13(1), Article 011048. https://doi.org/10.1103/PhysRevX.13.011048 -
de Boer, N., & de Goede, K. (2023). Kanttekeningen bij het NOvA-rapport over rechtsstatelijkheid in partijprogramma’s. Web publication or website, Burger & Overheid. https://www.burgeroverheid.nl/artikel/kanttekeningen-bij-het-nova-rapport-over-rechtsstatelijkheid-in-partijprogrammas/ -
Johansson, B., & Rijlaarsdam, G. (2023). Writing fluency predicted by reading, linguistic and cognitive skills in L1 and L2 in the writing of bilingual biscriptal Persian-Swedish children. L1 Educational Studies in Language and Literature, 23(1), 1-28. https://doi.org/10.21248/l1esll.2023.23.1.374 -
Dobler, D., & Musta, E. (2023). A two-sample comparison of mean survival times of uncured sub-populations. (v1 ed.) https://doi.org/10.48550/arXiv.2307.03082 -
Arps, A. (2023). Becoming a Beast in the Long Run: Travelling Perpetrators and the Animal as Metaphor for Violence. In R. Honings, & E. Op de Beek (Eds.), Animals In Dutch Travel Writing: 1800-Present (pp. 159-180). Leiden University Press. https://doi.org/10.24415/9789087284022 -
Boulanin, V., & Bo, M. (2023). Three lessons on the regulation of autonomous weapons systems to ensure accountability for violations of IHL. Web publication or website, Humanitarian Law & Policy. https://blogs.icrc.org/law-and-policy/2023/03/02/three-lessons-autonomous-weapons-systems-ihl/ -
Duan, H.-Y., Li, X.-Y., Krishna, R., & He, C. (2023). Ultramicroporous Metal-Organic Framework with Inert Pore Surfaces for Inversed Separation of Ethylene from C2 Hydrocarbons Mixtures. ACS Applied Materials and Interfaces, 15(19), 23538-23545. https://doi.org/10.1021/acsami.3c04225 -
Graziani, M., Dutkiewicz, L., Calvaresi, D., Pereira Amorim, J., Yordanova, K., Vered, M., Nair, R., Henriques Abreu, P., Blanke, T., Pulignano, V., Prior, J. O., Lauwaert, L., Reijers, W., Depeursinge, A., Andrearczyk, V., & Müller, H. (2023). A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artificial Intelligence Review, 56(4), 3473–3504. https://doi.org/10.1007/s10462-022-10256-8
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