Search results
-
Full text
-
Document type
-
Organisation
Filter results
Results: 216,791
Number of items: 216,791
-
Lotkov, A. I., Kurlov, D. V., Fedorov, A. K., Nemkov, N. A., & Gritsev, V. (2023). Conformal symmetry in quasifree Markovian open quantum systems. Physical Review B, 108(6), Article 064312. https://doi.org/10.1103/PhysRevB.108.064312 -
den Dulk, A. (2023). “My Whole Life I’ve Been a Fraud”: Resisting Excessive (Self-)Critique and Reaffirming Authenticity as Communal in David Foster Wallace’s “Good Old Neon” and Albert Camus’s The Fall. Humanities (Switzerland), 12(1), Article 20. https://doi.org/10.3390/h12010020
-
Hawke, P., & Özgün, A. (2023). Truthmaker Semantics for Epistemic Logic. In F. L. G. Faroldi, & F. Van De Putte (Eds.), Kit Fine on Truthmakers, Relevance, and Non-classical Logic (pp. 295–335). (Outstanding Contributions to Logic; Vol. 26). Springer. https://doi.org/10.1007/978-3-031-29415-0_15
-
Hillary, L. (2023). Migratie in de verkiezingsprogramma’s 2023: heet hangijzer of bedenking achteraf?. Web publication or website, Nederland Rechtsstaat. https://www.nederlandrechtsstaat.nl/verkiezingsblog-7-migratie-in-de-verkiezingsprogrammas-2023-heet-hangijzer-of-bedenking-achteraf/
-
Babic, M., Dixon, A. D., & Fichtner, J. (2023). Varieties of state capital: What does foreign state-led investment do in a globalized world? Competition & Change, 27(5), 663-684. https://doi.org/10.1177/10245294221139524
-
Stauff, M., van Romondt Vis, P., & van Es, K. (2023). Coffee Roasters’ Data Vernacular: On the Entanglement of Digital Data and Craft. In K. van Es, & N. Verhoeff (Eds.), Situating Data: Inquiries in Algorithmic Culture (pp. 31-47). (MediaMatters). Amsterdam University Press. https://doi.org/10.5117/9789463722971, https://doi.org/10.1515/9789048555444-004, https://doi.org/10.2307/jj.362382.6
-
Dietrich, M.-C. (2023). Becoming Community: Filmmakers Crafting Futures in an Andean Town. Anthrovision, 10. https://doi.org/10.4000/123e9
-
Huijben, J., Patel, V., & Regts, G. (2023). Sampling from the low temperature Potts model through a Markov chain on flows. Random Structures and Algorithms, 62(1), 219-239. https://doi.org/10.1002/rsa.21089
-
Liao, B., & Monz, C. (2023). Ask Language Model to Clean Your Noisy Translation Data. In H. Bouamor, J. Pino, & K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing (pp. 3215-3236). ACL. https://aclanthology.org/2023.findings-emnlp.212/
Page 1497 of 21680