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Bieleszová, K., Hladík, P., Kubala, M., Napier, R., Brunoni, F., Gelová, Z.,https://doi.org/10.1007/s10725-023-01083-0__dukauskait, A. (2023). New fluorescent auxin derivatives: anti-auxin activity and accumulation patterns in Arabidopsis thaliana. Plant Growth Regulation. Springer Nature.https://doi.org/10.1007/s10725-023-01083-0 
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Sack, S. (2023). Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14622 
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Amberg, N., Cheung, G. T., &; Hippenmeyer, S. (2023). Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry. STAR Protocols. Elsevier.https://doi.org/10.1016/j.xpro.2023.102771 
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Agresti, A. (2023). Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. Stochastics and Partial Differential Equations: Analysis and Computations. Springer Nature.https://doi.org/10.1007/s40072-023-00319-4 
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Zhang, Y., &; Vatedka, S. (2023). Multiple packing: Lower bounds via error exponents. IEEE Transactions on Information Theory. IEEE.https://doi.org/10.1109/TIT.2023.3334032 
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Hoffmann, C., Hubádek, P., Kamath, C., &; Krák, T. (2023). (Verifiable) delay functions from Lucas sequences. In 21st International Conference on Theory of Cryptography (Vol. 14372, pp. 336–362). Taipei, Taiwan: Springer Nature.https://doi.org/10.1007/978-3-031-48624-1_13 
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Auerbach, B., Cueto Noval, M., Pascual Perez, G., &; Pietrzak, K. Z. (2023). On the cost of post-compromise security in concurrent Continuous Group-Key Agreement. In 21st International Conference on Theory of Cryptography (Vol. 14371, pp. 271–300). Taipei, Taiwan: Springer Nature.https://doi.org/10.1007/978-3-031-48621-0_10 
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Auerbach, B., Hoffmann, C., &; Pascual Perez, G. (2023). Generic-group lower bounds via reductions between geometric-search problems: With and without preprocessing. In 21st International Conference on Theory of Cryptography (Vol. 14371, pp. 301–330). Springer Nature.https://doi.org/10.1007/978-3-031-48621-0_11 
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Babkin, S., &; Burmistrov, I. (2023). Boundary multifractality in the spin quantum Hall symmetry class with interaction. Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.108.205429 
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Ing-Simmons, E., Machnik, N. N., &; Vaquerizas, J. M. (2023). Reply to: Revisiting the use of structural similarity index in Hi-C. Nature Genetics. Springer Nature.https://doi.org/10.1038/s41588-023-01595-5 
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Archer, L. A., Bruce, P. G., Calvo, E. J., Dewar, D., Ellison, J. H. J., Freunberger, S. A.,https://doi.org/10.1039/d3fd90062b__Ye, S. (2023). Towards practical metal–oxygen batteries: General discussion. Faraday Discussions. Royal Society of Chemistry.https://doi.org/10.1039/d3fd90062b 
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Attard, G. A., Calvo, E. J., Curtiss, L. A., Dewar, D., Ellison, J. H. J., Gao, X.,https://doi.org/10.1039/d3fd90059b__Ye, S. (2023). Materials for stable metal–oxygen battery cathodes: general discussion. Faraday Discussions. Royal Society of Chemistry.https://doi.org/10.1039/d3fd90059b 
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Sitarska, E., Almeida, S. D., Beckwith, M. S., Stopp, J. A., Czuchnowski, J., Siggel, M.,https://doi.org/10.1038/s41467-023-41173-1__Diz-Muñoz, A. (2023). Sensing their plasma membrane curvature allows migrating cells to circumvent obstacles. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-41173-1 
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Alanko, J. H., Ucar, M. C., Canigova, N., Stopp, J. A., Schwarz, J., Merrin, J.,https://doi.org/10.1126/sciimmunol.adc9584__Sixt, M. K. (2023). CC acts as both a sensor and a sink for CCL19 to coordinate collective leukocyte migration. Science Immunology. American Association for the Advancement of Science.https://doi.org/10.1126/sciimmunol.adc9584 
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Stopp, J. A. (2023). Neutrophils on the hunt: Migratory strategies employed by neutrophils to fulfill their effector function. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14697 
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Arathoon, L. S. (2023). Investigating inbreeding depression and the self-incompatibility locus of Antirrhinum majus. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14651 
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Ishida, S., &; Lavenant, H. (n.d.). Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation. arXiv.https://doi.org/10.48550/arXiv.2312.12213 
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Yurtseven, A., Buyanova, S., Agrawal, A. A. A., Bochkareva, O., &; Kalinina, O. V. V. (2023). Machine learning and phylogenetic analysis allow for predicting antibiotic resistance in M. tuberculosis. BMC Microbiology. Springer Nature.https://doi.org/10.1186/s12866-023-03147-7 
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Pastva, S., &; Henzinger, T. A. (2023). Binary decision diagrams on modern hardware. In Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design (pp. 122–131). Ames, IA, United States: TU Vienna Academic Press.https://doi.org/10.34727/2023/isbn.978-3-85448-060-0_20 
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