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Artan M, de Bono M. Proteomic Analysis of C. Elegans Neurons Using TurboID-Based Proximity Labeling. In: Yamamoto D, ed. Behavioral Neurogenetics. Vol 181. NM. New York: Springer Nature; 2022:277-294. doi:10.1007/978-1-0716-2321-3_15
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Kusakabe H, Verhamme A, Blaizot J, et al. The MUSE eXtremely Deep Field: Individual detections of Ly;1 haloes around rest-frame UV-selected galaxies at z10.1051/0004-6361/202142302__2.9–4.4. Astronomy &; Astrophysics. 2022;660. doi:10.1051/0004-6361/202142302
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Kerutt J, Wisotzki L, Verhamme A, et al. Equivalent widths of Lyman ;1 emitters in MUSE-Wide and MUSE-Deep. Astronomy &; Astrophysics. 2022;659. doi:10.1051/0004-6361/202141900
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Matthee JJ, Feltre A, Maseda M, et al. Deciphering stellar metallicities in the early universe: Case study of a young galaxy at z = 4.77 in the MUSE eXtremely Deep Field. Astronomy &; Astrophysics. 2022;660. doi:10.1051/0004-6361/202142187
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Isobe Y, Ouchi M, Suzuki A, et al. EMPRESS. IV. Extremely metal-poor galaxies including very low-mass primordial systems with M= 10<sup>4</sup>-10<sup>5</sup> and 2%–3% (O/H): High (Fe/O) suggestive of metal enrichment by hypernovae/pair-instability supernovae. The Astrophysical Journal. 2022;925(2). doi:10.3847/1538-4357/ac3509
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Sobral D, van der Wel A, Bezanson R, et al. The LEGA-C of nature and nurture in stellar populations at z c 0.6–1.0: Dn4000 and H;4 reveal different assembly histories for quiescent galaxies in different environments. The Astrophysical Journal. 2022;926(2). doi:10.3847/1538-4357/ac4419
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Gebek A, Matthee JJ. On the variation in stellar ;1-enhancements of star-forming galaxies in the EAGLE simulation. The Astrophysical Journal. 2022;924(2). doi:10.3847/1538-4357/ac350b
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Matthee JJ, Naidu RP, Pezzulli G, et al. (Re)Solving reionization with Ly;1: How bright Ly;1 emitters account for the z10.1093/mnras/stac801__210.1093/mnras/stac801__8 cosmic ionizing background. Monthly Notices of the Royal Astronomical Society. 2022;512(4):5960-5977. doi:10.1093/mnras/stac801
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Clark T, Drach K, Kozlovski O, Strien SV. The dynamics of complex box mappings. Arnold Mathematical Journal. 2022;8(2):319-410. doi:10.1007/s40598-022-00200-7
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Zinn JC, Stello D, Elsworth Y, et al. The K2 Galactic Archaeology Program data release 3: Age-abundance patterns in – and 0–8. The Astrophysical Journal. 2022;926(2). doi:10.3847/1538-4357/ac2c83
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Mathur S, García RA, Breton S, et al. Detections of solar-like oscillations in dwarfs and subgiants with Kepler D short-cadence data. Astronomy &; Astrophysics. 2022;657. doi:10.1051/0004-6361/202141168
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Bugnet LA. Hidden currents at the Sun’s surface. Nature Astronomy. 2022;6:631-632. doi:10.1038/s41550-022-01683-2
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Dhouib H, Mathis S, Bugnet LA, Van Reeth T, Aerts C. Detecting deep axisymmetric toroidal magnetic fields in stars: The traditional approximation of rotation for differentially rotating deep spherical shells with a general azimuthal magnetic field. Astronomy &; Astrophysics. 2022;661. doi:10.1051/0004-6361/202142956
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Ngampruetikorn V, Sachdeva V, Torrence J, Humplik J, Schwab DJ, Palmer SE. Inferring couplings in networks across order-disorder phase transitions. Physical Review Research. 2022;4(2). doi:10.1103/PhysRevResearch.4.023240
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Henzinger MH, Peng P. Constant-time Dynamic ( +1)-Coloring. ACM Transactions on Algorithms. 2022;18(2). doi:10.1145/3501403
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Barton NH. The “New Synthesis.”10.1073/pnas.2122147119__Proceedings of the National Academy of Sciences of the United States of America. 2022;119(30). doi:10.1073/pnas.2122147119
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Nikolic N, Sauert M, Albanese TG, Moll I. Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli. BMC Research Notes. 2022;15. doi:10.1186/s13104-022-06061-9
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Hanauer K, Henzinger MH, Hua QC. Fully dynamic four-vertex subgraph counting. In: 1st Symposium on Algorithmic Foundations of Dynamic Networks. Vol 221. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.SAND.2022.18
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arXiv: 2106.15524

Hanauer K, Henzinger MH, Schulz C. Recent advances in fully dynamic graph algorithms. In: 1st Symposium on Algorithmic Foundations of Dynamic Networks. Vol 221. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.SAND.2022.1
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arXiv: 2102.11169