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Mushtukov, A. A., Ingram, A., Suleimanov, V. F., DiLullo, N., Middleton, M., Tsygankov, S. S., van der Klis, M., & Zwart, S. P. (2024). Magnetospheric flows in X-ray pulsars - I: Instability at super-Eddington regime of accretion. Monthly Notices of the Royal Astronomical Society, 530(1), 730-742. https://doi.org/10.1093/mnras/stae781 -
Le Dizès Castell, R., Pel, L., Chekai, T., Derluyn, H., Scheel, M., Jabbari-Farouji, S., & Shahidzadeh, N. (2024). Sol-gel transition by evaporation in porous media. Physical Review Applied, 21(3), Article 034049. https://doi.org/10.1103/PhysRevApplied.21.034049 -
Tumusiime, J., Valderrama Bhraunxs, N., Kagoro-Rugunda, G., Namirembe, D., Albrecht, C., Twongyirwe, R., Tolo, C. U., Jacobs, L., & Huyse, T. (2024). Citizens can help to map putative transmission sites for snail-borne diseases. PLoS Neglected Tropical Diseases, 18(4), Article e0012062. https://doi.org/10.1371/journal.pntd.0012062 -
Vermeent, S., Young, E. S., van Gelder, J.-L., & Frankenhuis, W. E. (2024). Childhood adversity is not associated with lowered inhibition, but lower perceptual processing: A Drift Diffusion Model analysis. Cognitive Development, 71, Article 101479. https://doi.org/10.1016/j.cogdev.2024.101479 -
Yuan, Y., Siro, C., Aliannejadi, M., de Rijke, M., & Lam, W. (2024). Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. In WWW '24: Proceedings of the ACM Web Conference 2024 : May 13-17, 2024, Singapore, Singapore (pp. 1474-1485). The Association for Computing Machinery. https://doi.org/10.48550/arXiv.2402.07742, https://doi.org/10.1145/3589334.3645483 -
Gavros, A., Hsu, Y.-C., & Karatzas, K. (2024). Modelling Smell Events in Urban Pittsburgh with Machine and Deep Learning Techniques. Atmosphere, 15(6), Article 731. https://doi.org/10.3390/atmos15060731 -
Schuurmans, J. . H. A., Masson, T. M., Zondag, S. D. A., Buskens, P., & Noël, T. (2024). Solar-Driven Continuous CO2 Reduction to CO and CH4 using Heterogeneous Photothermal Catalysts: Recent Progress and Remaining Challenges. ChemSusChem, 17(4), Article e202301405. https://doi.org/10.1002/cssc.202301405 -
Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., & Magliacane, S. (2024). A Sparsity Principle for Partially Observable Causal Representation Learning. Proceedings of Machine Learning Research, 235, 55389-55433. https://proceedings.mlr.press/v235/xu24ac.html
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