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Zhai, Z., Schoenmakers, P. J., & Gargano, A. F. G. (2024). Identification of heavily glycated proteoforms by hydrophilic-interaction liquid chromatography and native size-exclusion chromatography – High-resolution mass spectrometry. Analytica Chimica Acta, 1304, Article 342543. https://doi.org/10.1016/j.aca.2024.342543 -
The ATLAS Collaboration (2024). Combination and summary of ATLAS dark matter searches interpreted in a 2HDM with a pseudo-scalar mediator using 139 fb–1 of √s = 13 TeV pp collision data. Science Bulletin, 69(19), 3005-3035. https://doi.org/10.1016/j.scib.2024.06.003 -
Wong, J., Yang, Y.-J., Ng, C. .-Y., Vink, J., & IXPE (2024). Analysis of Crab X-Ray Polarization Using Deeper Imaging X-Ray Polarimetry Explorer Observations. Astrophysical Journal, 973(2), Article 172. https://doi.org/10.3847/1538-4357/ad6309 -
França, H. L., Jalaal, M., & Oishi, C. M. (2024). Elasto-viscoplastic spreading: From plastocapillarity to elastocapillarity. Physical Review Research, 6(1), Article 013226. https://doi.org/10.1103/PhysRevResearch.6.013226 -
Song, Y., Xin, R., Chen, P., Zhang, R., Chen, J., & Zhao, Z. (2024). Autonomous selection of the fault classification models for diagnosing microservice applications. Future Generation Computer Systems, 153, 326-339. https://doi.org/10.1016/j.future.2023.12.005 -
Basha, N., Arcucci, R., Angeli, P., Anastasiou, C., Abadie, T., Quilodran Casas, R., Chen, J., Cheng, S., Chagot, L., Galvanin, F., Heaney, C. E., Hossein, F., Hu, J., Kovalchuk, N., Kalli, M., Kahouadji, L., Kerhouant, M., Lavino, A., Liang, F., ... Matar, O. K. (2024). Machine learning and physics-driven modelling and simulation of multiphase systems. International Journal of Multiphase Flow, 179, Article 104936. https://doi.org/10.1016/j.ijmultiphaseflow.2024.104936 -
Meeusen, H., Kalf, R. S., Broekaart, D. W. M., Silva, J. P., Verkuyl, J. M., van Helvoort, A., Gorter, J. A., van Vliet, E. A., & Aronica, E. (2024). Effective reduction in seizure severity and prevention of a fatty liver by a novel low ratio ketogenic diet composition in the rapid kindling rat model of epileptogenesis. Experimental Neurology, 379, Article 114861. https://doi.org/10.1016/j.expneurol.2024.114861 -
Sainz, O., García-Ferrero, I., Jacovi, A., Campos, J. A., Elazar, Y., Agirre, E., Goldberg, Y., Chen, W.-L., Chim, J., Choshen, L., D’Amico-Wong, L., Dell, M., Fan, R.-Z., Golchin, S., Li, Y., Liu, P., Pahwa, B., Prabhu, A., Sharma, S., ... Yang, J. (2024). Data Contamination Report from the 2024 CONDA Shared Task. In O. Sainz, I. García Ferrero, E. Agirre, J. A. Campos, A. Jacovi, Y. Elazar, & Y. Goldberg (Eds.), The First Data Contamination Workshop : proceedings of the workshop: CONDA 2024 : August 16, 2024 (pp. 41–56). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.conda-1.4 -
Korkmaz, H. I., Sheraton, V. M., Bumbuc, R. V., Li, M., Pijpe, A., Mulder, P. P. G., Boekema, B. K. H. L., de Jong, E., Papendorp, S. G. F., Brands, R., Middelkoop, E., Sloot, P. M. A., & van Zuijlen, P. P. M. (2024). An in silico modeling approach to understanding the dynamics of the post-burn immune response. Frontiers in Immunology, 15, Article 1303776. https://doi.org/10.3389/fimmu.2024.1303776 -
Dykstra, D. M. J., & Coulais, C. (2024). Inverse design of multishape metamaterials. Physical Review Applied, 22(6), Article 064013. https://doi.org/10.1103/PhysRevApplied.22.064013
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