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Collaboration XENON, Aprile, E., Angevaare, J. R., Bruenner, S., Colijn, A. P., Decowski, M. P., Di Pede, S., Gaemers, P., & Wolf, T. (2022). Application and modeling of an online distillation method to reduce krypton and argon in XENON1T. Progress of Theoretical and Experimental Physics, 2022(5), Article 053H01. https://doi.org/10.1093/ptep/ptac074 -
Darphorn, T. S., Koenders-van Sintanneland, B. B., Grootemaat, A. E., van der Wel, N. N., Brul, S., & Ter Kuile, B. H. (2022). Transfer dynamics of multi-resistance plasmids in Escherichia coli isolated from meat. PLoS ONE, 17(7), Article e0270205. https://doi.org/10.1371/journal.pone.0270205 -
Dekker, R. I., Kibbelaar, H. V. M., Deblais, A., & Bonn, D. (2022). Rheology of emulsions with polymer solutions as the continuous phase. Journal of non-Newtonian fluid mechanics, 310, Article 104938. https://doi.org/10.1016/j.jnnfm.2022.104938 -
Cal, P., Thaler, J., & Waalewijn, W. J. (2022). Power counting energy flow polynomials. Journal of High Energy Physics, 2022(9), Article 21. https://doi.org/10.1007/JHEP09(2022)021 -
Gossan, S. E., Hall, E. D., & Nissanke, S. M. (2022). Optimizing the Third Generation of Gravitational-wave Observatories for Galactic Astrophysics. Astrophysical Journal, 926(2), Article 231. https://doi.org/10.3847/1538-4357/ac4164 -
Zimmer, F., MacIas, O., Ando, S., Crocker, R. M., & Horiuchi, S. (2022). The Andromeda gamma-ray excess: background systematics of the millisecond pulsars and dark matter interpretations. Monthly Notices of the Royal Astronomical Society, 516(3), 4469-4483. https://doi.org/10.1093/mnras/stac2464 -
Leonova, E., Oesch, P. A., Qin, Y., Naidu, R. P., Wyithe, J. S. B., de Barros, S., Bouwens, R. J., Ellis, R. S., Endsley, R. M., Hutter, A., Illingworth, G. D., Kerutt, J., Labbé, I., Magee, D., Mutch, S. J., Roberts-Borsani, G. W., Smit, R., Stark, D. P., Stefanon, M., ... Zitrin, A. (2022). The prevalence of galaxy overdensities around UV-luminous Lyman α emitters in the Epoch of Reionization. Monthly Notices of the Royal Astronomical Society, 515(4), 5790–5801. https://doi.org/10.1093/mnras/stac1908 -
Daza, D., Cochez, M., & Groth, P. (2022). SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. In A. Vlachos, P. Agrawal, A. Martins, G. Lampouras, & C. Lyu (Eds.), Sixth Workshop on Structured Prediction for NLP: Proceedings of the Workshop : SPNLP 2022 : May 27, 2022 (pp. 32-39). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.spnlp-1.4
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