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Results: 78,791
Number of items: 78,791
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The LIGO Scientific Collaboration, The Virgo Collaboration, The KAGRA Collaboration, Abac, A. G., Bhardwaj, U., Bulten, H. J., Caudill, S., Guo, Y., Kalaghatgi, C. V., Leonova, E., Linde, F. L., London, L. T., Mukherjee, S., Nissanke, S. M., Phukon, K. S., Raaijmakers, G., Sallé, M., van Bakel, N., van Beuzekom, M., ... Vardaro, M. (2024). Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compact Object and a Neutron Star. Astrophysical Journal, 970(2), Article L34. https://doi.org/10.3847/2041-8213/ad5beb -
Hoffart, A., Skjerdingstad, N., Freichel, R., Mansueto, A. C., Johnson, S. U., Epskamp, S., & Ebrahimi, O. V. (2024). Depressive symptoms and their mechanisms: An investigation of long-term patterns of interaction through a panel-network approach. Clinical Psychological Science, 12(5), 903-916. https://doi.org/10.1177/21677026231208172 -
Hameleers, M. (2024). The state-of-the-art in combating mis- and disinformation: Lessons from pre- and debunking approaches. In D. Frau-Meigs, & N. Corbu (Eds.), Disinformation Debunked : Building Resilience through Media and Information Literacy (pp. 19-36). (Routledge Research in Media Literacy and Education). Routledge. https://doi.org/10.4324/9781003387404-3 -
Barkhof, F., Abbring, S., Pardasani, R., & Awasthi, N. (2024). Deep learning based tumor detection and segmentation for automated 3D breast ultrasound imaging. In 2024 IEEE South Asian Ultrasonics Symposium conference proceedings (SAUS): 27-29 March 2024 (pp. 21-24). IEEE. https://doi.org/10.1109/saus61785.2024.10563487 -
de Bruyne, L., van der Meer, T. G. L. A., de Clercq, O., & Hoste, V. (2024). Using State-of-the-art Emotion Detection Models in a Crisis Communication Context. Computational Communication Research, 6(1). https://doi.org/10.5117/CCR2024.1.1.DEBR -
van de Werfhorst, H. G., Zwier, D., Geven, S., Bol, T., & Haelermans, C. (2024). Inequality in pandemic effects on school track placement and the role of social and academic embeddedness. NPJ Science of Learning, 9, Article 71. https://doi.org/10.1038/s41539-024-00283-1 -
XENON Collaboration, Aprile, E., Aalbers, J., Angevaare, J. R., Brookes, E. J., Bruenner, S., Colijn, A. P., Decowski, M. P., Flierman, M. E., Fuselli, C., Gaemers, P., Pierre, M. M. M., & Pollmann, T. R. (2024). The XENONnT dark matter experiment. European Physical Journal C, 84, Article 784. https://doi.org/10.1140/epjc/s10052-024-12982-5 -
Rus, C., Yates, A., & de Rijke, M. (2024). A Study of Pre-processing Fairness Intervention Methods for Ranking People. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. IV, pp. 336–350). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_26 -
van Oosten, S., Mügge, L., & van der Pas, D. (2024). Race/Ethnicity in Candidate Experiments: a Meta-Analysis and the Case for Shared Identification. Acta Politica, 59(1), 19-41. https://doi.org/10.1057/s41269-022-00279-y
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