Search results
Results: 80,411
Number of items: 80,411
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Beri, A., Altamirano, D., Wijnands, R., Degenaar, N., Parikh, A. S., & Yamaoka, K. (2019). Unveiling the nature of compact object in the LMXB MAXI J1957+032 using Swift-XRT. Monthly Notices of the Royal Astronomical Society, 486(2), 1620-1628. https://doi.org/10.1093/mnras/stz938 -
Machluf, S., Naber, J. B., Soudijn, M. L., Ruostekoski, J., & Spreeuw, R. J. C. (2019). Collective suppression of optical hyperfine pumping in dense clouds of atoms in microtraps. Physical Review A, 100(5), Article 051801. https://doi.org/10.1103/PhysRevA.100.051801
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Botman, D., de Groot, D. H., Schmidt, P., Goedhart, J., & Teusink, B. (2019). In vivo characterisation of fluorescent proteins in budding yeast. Scientific Reports, 9, Article 2234. https://doi.org/10.1038/s41598-019-38913-z
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Schindler, T. (2019). Classes, why and how. Philosophical Studies, 176(2), 407-435. https://doi.org/10.1007/s11098-017-1022-2
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Gronau, Q. F., Wagenmakers, E.-J., Heck, D. W., & Matzke, D. (2019). A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling. Psychometrika, 84(1), 261-284. https://doi.org/10.1007/s11336-018-9648-3
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Bambi, C., Freese, K., Vagnozzi, S., & Visinelli, L. (2019). Testing the rotational nature of the supermassive object M87∗ from the circularity and size of its first image. Physical Review D, 100(4), Article 044057. https://doi.org/10.1103/PhysRevD.100.044057
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Price, S. W. T., Van Loon, A., Keune, K., Parsons, A. D., Murray, C., Beale, A. M., & Mosselmans, J. F. W. (2019). Unravelling the spatial dependency of the complex solid-state chemistry of Pb in a paint micro-sample from Rembrandt's Homer using XRD-CT. Chemical Communications, 55(13), 1931-1934. https://doi.org/10.1039/c8cc09705d
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van Eijk, N. A. N. M. (2019). Telecommunicatierecht. Ars Aequi KwartaalSignaal, 152, 8935-8936. https://arsaequi.nl/product/kwartaalsignaal-152-telecommunicatierecht/
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Cohen, T. S., Weiler, M., Kicanaoglu, B., & Welling, M. (2019). Gauge Equivariant Convolutional Networks and the Icosahedral CNN. Proceedings of Machine Learning Research, 97, 1321-1330. http://proceedings.mlr.press/v97/cohen19d.html
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