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Results: 79,257
Number of items: 79,257
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Bouris, D., & İşleyen, B. (2020). The European Union and Practices of Governing Space and Population in Contested States: Insights from EUPOL COPPS in Palestine. Geopolitics, 25(2), 428-448. https://doi.org/10.1080/14650045.2018.1552946 -
Geurts, H. M., Pol, S. E., Lobbestael, J., & Simons, C. J. P. (2020). Executive functioning in 60+ autistic males: The discrepancy between experienced challenges and cognitive performance. Journal of Autism and Developmental Disorders, 50(4), 1380–1390. https://doi.org/10.1007/s10803-020-04368-9 -
Zwanenburg, M. C., & van den Boogaard, J. C. (2020). Militair gebruik van de ruimte: nieuw momentum voor het ruimterecht? Militair Rechtelijk Tijdschrift, 113(3), 19-28. https://puc.overheid.nl/doc/PUC_322256_11/1/#6902360c-6979-4898-b132-ed5397c2274c -
Thygesen, N., Beetsma, R., Bordignon, M., & Szczurek, M. (2020). Assessment of the fiscal stance appropriate for the euro area in 2021. European Fiscal Board. https://ec.europa.eu/info/publications/assessment-fiscal-stance-appropriate-euro-area_nl -
Bhandari, R., Kirilina, E., Caan, M., Suttrup, J., De Sanctis, T., De Angelis, L., Keysers, C., & Gazzola, V. (2020). Does higher sampling rate (multiband + SENSE) improve group statistics - An example from social neuroscience block design at 3T. NeuroImage, 213, Article 116731. https://doi.org/10.1016/j.neuroimage.2020.116731 -
Monzer, C., Moeller, J., Helberger, N., & Eskens, S. (2020). User perspectives on the news personalisation process: Agency, trust and utility as building blocks. Digital Journalism, 8(9), 1142-1162. https://doi.org/10.1080/21670811.2020.1773291 -
Sukowski, V., & Fernández-Ibáñez, M. A. (2020). Switching from meta- to ortho-Selectivity by a Cyclometalated Ruthenium Catalyst. Chemical Science, 6(6), 1209-1211. https://doi.org/10.1016/j.chempr.2020.05.016 -
Aad, G., & ATLAS Collaboration (2020). CP Properties of Higgs Boson Interactions with Top Quarks in the tt̅H and tH Processes Using H → γγ with the ATLAS Detector. Physical Review Letters, 125(6), Article 061802. https://doi.org/10.1103/PhysRevLett.125.061802 -
Mihaylova, T., Niculae, V., & Martins, A. F. T. (2020). Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 2186–2202). The Association for Computational Linguistics. https://aclanthology.org/2020.emnlp-main.171/
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