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Guet, Calin C., et al. “Monitoring Lineages of Growing and Dividing Bacteria Reveals an Inducible Memory of Mar Operon Expression.”10.3389/fmicb.2023.1049255__Frontiers in Microbiology, vol. 14, 1049255, Frontiers, 2023, doi:10.3389/fmicb.2023.1049255.
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Shamipour, Shayan, et al. “Yolk Granule Fusion and Microtubule Aster Formation Regulate Cortical Granule Translocation and Exocytosis in Zebrafish Oocytes.”10.1371/journal.pbio.3002146__PLoS Biology, vol. 21, no. 6, Public Library of Science, 2023, p. e3002146, doi:10.1371/journal.pbio.3002146.
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Charlton, Julie A., et al. “Environmental Dynamics Shape Perceptual Decision Bias.”10.1371/journal.pcbi.1011104__PLoS Computational Biology, vol. 19, no. 6, e1011104, Public Library of Science, 2023, doi:10.1371/journal.pcbi.1011104.
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Agafonova, Sofya, et al. “Finite-Range Bias in Fitting Three-Body Loss to the Zero-Range Model.”10.1103/PhysRevA.107.L061304__Physical Review A, vol. 107, no. 6, L061304, American Physical Society, 2023, doi:10.1103/PhysRevA.107.L061304.
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Peste, Elena-Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.
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Brighi, Pietro, et al. “Many-Body Localization Proximity Effect in a Two-Species Bosonic Hubbard Model.”10.1103/physrevb.108.054201__Physical Review B, vol. 108, no. 5, 054201, American Physical Society, 2023, doi:10.1103/physrevb.108.054201.
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Bighin, Giacomo, et al. “Diagrammatic Monte Carlo for Electronic Correlation in Molecules: High-Order Many-Body Perturbation Theory with Low Scaling.”10.1103/PhysRevB.108.045115__Physical Review B, vol. 108, no. 4, 045115, American Physical Society, 2023, doi:10.1103/PhysRevB.108.045115.
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