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Huybrechts, D., and Mirko Mauri. “On Type II Degenerations of Hyperkähler Manifolds.”10.4310/mrl.2023.v30.n1.a6__Mathematical Research Letters, vol. 30, no. 1, International Press, 2023, pp. 125–41, doi:10.4310/mrl.2023.v30.n1.a6.
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Mitrouskas, David Johannes, and Robert Seiringer. “Ubiquity of Bound States for the Strongly Coupled Polaron.”10.2140/paa.2023.5.973__Pure and Applied Analysis, vol. 5, no. 4, Mathematical Sciences Publishers, 2023, pp. 973–1008, doi:10.2140/paa.2023.5.973.
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Chen, Huihuang, et al. “Distinct Functions of TI and AF Receptors in Auxin Signalling.”10.1016/j.molp.2023.06.007__Molecular Plant, vol. 16, no. 7, Elsevier , 2023, pp. 1117–19, doi:10.1016/j.molp.2023.06.007.
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Hausel, Tamás, et al. “Arithmetic and Metric Aspects of Open de Rham Spaces.”10.1112/plms.12555__Proceedings of the London Mathematical Society, vol. 127, no. 4, Wiley, 2023, pp. 958–1027, doi:10.1112/plms.12555.
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Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring Type Inequalities.”10.1016/j.jfa.2023.110129__Journal of Functional Analysis, vol. 285, no. 10, 110129, Elsevier, 2023, doi:10.1016/j.jfa.2023.110129.
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Banerjee, Tamajit, et al. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.”10.46298/theoretics.23.4__TheoretiCS, vol. 2, 4, EPI Sciences, 2023, doi:10.46298/theoretics.23.4.
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Knaus, Lisa, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.”10.1016/j.cell.2023.02.037__Cell, vol. 186, no. 9, Elsevier, 2023, p. 1950–1967.e25, doi:10.1016/j.cell.2023.02.037.
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Liu, Zhengtao, et al. “Lattice Expansion Enables Interstitial Doping to Achieve a High Average ZT in Ntype PbS.”10.1002/idm2.12056__Interdisciplinary Materials, vol. 2, no. 1, Wiley, 2023, pp. 161–70, doi:10.1002/idm2.12056.
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Majumdar, Rupak, et al. “A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties.”10.1007/978-3-031-37709-9_1__35th International Conference on Computer Aided Verification, vol. 13966, Springer Nature, 2023, pp. 3–15, doi:10.1007/978-3-031-37709-9_1.
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Michael, Alicia K., et al. “Cooperation between BHLH Transcription Factors and Histones for DNA Access.”10.1038/s41586-023-06282-3__Nature, vol. 619, no. 7969, Springer Nature, 2023, pp. 385–93, doi:10.1038/s41586-023-06282-3.
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Riabov, Volodymyr. “Mesoscopic Eigenvalue Statistics for Wigner-Type Matrices.”10.48550/arXiv.2301.01712__ArXiv, 2301.01712, doi:10.48550/arXiv.2301.01712.
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Burdge, Kevin B., et al. “Orbital Decay in an Accreting and Eclipsing 13.7 Minute Orbital Period Binary with a Luminous Donor.”10.3847/2041-8213/ace7cf__The Astrophysical Journal Letters, vol. 953, no. 1, L1, American Astronomical Society, 2023, doi:10.3847/2041-8213/ace7cf.
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Bolin, B. T., et al. “Keck and Gemini Spectral Characterization of Lucy Mission Fly-by Target (152830) Dinkinesh.”10.1016/j.icarus.2023.115562__Icarus, vol. 400, 115562, Elsevier, 2023, doi:10.1016/j.icarus.2023.115562.
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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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Boocock, Daniel R. Mechanochemical Pattern Formation across Biological Scales. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12964.
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Alcarva, Catarina. Plasticity in the Cerebellum: What Molecular Mechanisms Are behind Physiological Learning. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12809.
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Chambers, Erin, et al. “A Cautionary Tale: Burning the Medial Axis Is Unstable.”10.4230/LIPIcs.SoCG.2022.66__38th International Symposium on Computational Geometry, edited by Xavier Goaoc and Michael Kerber, vol. 224, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 66:1-66:9, doi:10.4230/LIPIcs.SoCG.2022.66.
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Bleile, Bea, et al. “The Persistent Homology of Dual Digital Image Constructions.”10.1007/978-3-030-95519-9_1__Research in Computational Topology 2, edited by Ellen Gasparovic et al., 1st ed., vol. 30, Springer Nature, 2022, pp. 1–26, doi:10.1007/978-3-030-95519-9_1.
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Artan, Murat, and Mario de Bono. “Proteomic Analysis of C. Elegans Neurons Using TurboID-Based Proximity Labeling.”10.1007/978-1-0716-2321-3_15__Behavioral Neurogenetics, edited by Daisuke Yamamoto, vol. 181, Springer Nature, 2022, pp. 277–94, doi:10.1007/978-1-0716-2321-3_15.
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