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LibreCat: https://research-explorer.ista.ac.at/record/15202
DOI: 10.3847/2041-8213/acb703
arXiv: 2301.12919

Rodriguez, Antonio C., et al. “Discovery of Two Polars from a Crossmatch of ZTF and the SRG/EFEDS x-Ray Catalog.”10.3847/1538-4357/acbb6f__The Astrophysical Journal, vol. 945, no. 2, 141, American Astronomical Society, 2023, doi:10.3847/1538-4357/acbb6f.
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arXiv: 2206.04714

González-Caniulef, Denis, et al. “Unbinned Likelihood Analysis for X-Ray Polarization.”10.1093/mnras/stad033__Monthly Notices of the Royal Astronomical Society, vol. 519, no. 4, Oxford University Press, 2023, pp. 5902–12, doi:10.1093/mnras/stad033.
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González-Caniulef, Denis, et al. “IXPE Simulations for Magnetars.”10.1017/s1743921322000679__Proceedings of the International Astronomical Union, vol. 16, no. 3, Cambridge University Press, 2023, pp. 314–17, doi:10.1017/s1743921322000679.
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Heyl, Jeremy, et al. “X-Ray Polarization at the Crossroads.”10.1017/s1743921322000916__Proceedings of the International Astronomical Union, vol. 16, no. 3, Cambridge University Press, 2023, pp. 80–91, doi:10.1017/s1743921322000916.
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Olusanya, Oluwafunmilola O., et al. “Genetic Load, Eco-Evolutionary Feedback and Extinction in a Metapopulation.”10.1101/2023.12.02.569702__BioRxiv, doi:10.1101/2023.12.02.569702.
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Fedorov, Alexander, et al. “Provably-Efficient and Internally-Deterministic Parallel Union-Find.”10.1145/3558481.3591082__Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2023, pp. 261–71, doi:10.1145/3558481.3591082.
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Condor, Jorge, et al. “Gloss-Aware Color Correction for 3D Printing.”10.1145/3588432.3591546__SIGGRAPH ’23 Conference Proceedings, 21, Association for Computing Machinery, 2023, doi:10.1145/3588432.3591546.
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Henzinger, Thomas A., et al. “Runtime Monitoring of Dynamic Fairness Properties.”10.1145/3593013.3594028__FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2023, pp. 604–14, doi:10.1145/3593013.3594028.
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arXiv: 2305.04699

Stankowski, Sean, et al. “Whole-Genome Phylogeography of the Intertidal Snail Littorina Saxatilis.”10.1093/evolinnean/kzad002__Evolutionary Journal of the Linnean Society, vol. 2, no. 1, kzad002, Oxford University Press, 2023, doi:10.1093/evolinnean/kzad002.
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Lasne, Clementine, et al. “The Scorpionfly (Panorpa Cognata) Genome Highlights Conserved and Derived Features of the Peculiar Dipteran X Chromosome.”10.1093/molbev/msad245__Molecular Biology and Evolution, vol. 40, no. 12, msad245, Oxford University Press, 2023, doi:10.1093/molbev/msad245.
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PMID: 37988296

Lasne, Clementine, and Marwan N. Elkrewi. The Scorpionfly (Panorpa Cognata) Genome Highlights Conserved and Derived Features of the Peculiar Dipteran X Chromosome. Institute of Science and Technology Austria, 2023, doi:10.15479/AT:ISTA:14614.
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Hennessey-Wesen, Mike. Adaptive Mutation in E. Coli Modulated by LuxS. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:14641.
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Gnyliukh, Nataliia, et al. “Role of Dynamin-Related Proteins 2 and S in Clathrin-Mediated Endocytosis in Plants.”10.1101/2023.10.09.561523__BioRxiv, doi:10.1101/2023.10.09.561523.
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Piovarci, Michael, et al. “Skin-Screen: A Computational Fabrication Framework for Color Tattoos.”10.1145/3592432__ACM Transactions on Graphics, vol. 42, no. 4, 67, Association for Computing Machinery, 2023, doi:10.1145/3592432.
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Chatterjee, Krishnendu, et al. “On Lexicographic Proof Rules for Probabilistic Termination.”10.1145/3585391__Formal Aspects of Computing, vol. 35, no. 2, 11, Association for Computing Machinery, 2023, doi:10.1145/3585391.
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arXiv: 2108.02188

Calcabrini, Mariano. Nanoparticle-Based Semiconductor Solids: From Synthesis to Consolidation. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12885.
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Westram, Anja M., and Roger Butlin. “Professor Kerstin Johannesson–Winner of the 2022 Molecular Ecology Prize.”10.1111/mec.16779__Molecular Ecology, vol. 32, no. 1, Wiley, 2023, pp. 26–29, doi:10.1111/mec.16779.
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Charikar, Moses, et al. “Simple, Scalable and Effective Clustering via One-Dimensional Projections.” 37th Conference on Neural Information Processing Systems, vol. 36, 2023.
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Safaryan, Mher, et al. “Knowledge Distillation Performs Partial Variance Reduction.” 36th Conference on Neural Information Processing Systems, vol. 36, 2023.
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arXiv: 2305.17581