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Results: 80,428
Number of items: 80,428
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Hacar, A., Hogerheijde, M. R., Harsono, D., Portegies Zwart, S., De Breuck, C., Torstensson, K., Boland, W., Baryshev, A. M., Hesper, R., Barkhof, J., Adema, J., Bekema, M. E., Koops, A., Khudchenko, A., & Stark, R. (2020). APEX-SEPIA660 Early Science: gas at densities above 107 cm-3 towards OMC-1. Astronomy & Astrophysics, 644, Article A133. https://doi.org/10.1051/0004-6361/202038138 -
Blas, D., & Witte, S. J. (2020). Imprints of axion superradiance in the CMB. Physical Review D, 102(10), Article 103018. https://doi.org/10.1103/PhysRevD.102.103018
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Bohlken, W., van der Bijl, M., & Oprescu, A.-M. (2020). Model-based fuzzing using symbolic transition systems: work in progress. In E. Constantinou (Ed.), Proceedings of the 13th Seminar Series on Advanced Techniques & Tools for Software Evolution: Amsterdam, Netherlands, July 1-2, 2020 (due to COVID-19: virtual event) Article 1 (CEUR Workshop Proceedings; Vol. 2754). CEUR-WS. https://ceur-ws.org/Vol-2754/paper1.pdf
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Weinberg, M., González Gálvez, M., & Bonelli, C. (2020). Políticas de la evidencia: entre posverdad, objetividad y etnografía. Antípoda : Revista de Antropología y Arqueología, 41, 3-27. https://doi.org/10.7440/antipoda41.2020.01
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Fichtner, J., Heemskerk, E., & Petry, J. (2020). Three financial firms could change the direction of the climate crisis – and few people have any idea. Web publication or website, The Conversation. https://theconversation.com/three-financial-firms-could-change-the-direction-of-the-climate-crisis-and-few-people-have-any-idea-131869
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van Gompel, S. (2020). Artikelen 8 tot en met 11 DSM-richtlijn: Niet of niet meer in de handel zijnde werken en andere materialen. AMI : Tijdschrift voor Auteurs-, Media- & Informatierecht, 44(1), 3-10. https://www.ami-online.nl/art/4055
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Tros, F. (2020). Vernieuwing en hybridisering van medezeggenschap in bedrijven. Tijdschrift voor Arbeidsvraagstukken, 36(3), 327-343. https://doi.org/10.5117/2020.036.003.009
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The Alan Turing Institute, Humanities and data science special interest group (2020). The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute. The Alan Turing Institute. https://doi.org/10.6084/M9.FIGSHARE.12732164
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Halpern, B. M., Kelly, F., van Son, R., & Alexander, A. (2020). Residual networks for resisting noise: analysis of an embeddings-based spoofing countermeasure. In Odyssey 2020 The Speaker and Language Recognition Workshop: 1-5 November 2020, Tokyo, Japan (pp. 326-332). International Speech Communication Association. https://doi.org/10.21437/Odyssey.2020-46
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