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Nanayakkara T, Brinchmann J, Boogaard L, et al. Exploring HefII;b1640 emission line properties at z c24. Astronomy &; Astrophysics. 2019;648. doi:10.1051/0004-6361/201834565
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de La Vieuville G, Bina D, Pello R, et al. Faint end of the z c 3–7 luminosity function of Lyman-alpha emitters behind lensing clusters observed with MUSE. Astronomy &; Astrophysics. 2019;628. doi:10.1051/0004-6361/201834471
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Sobral D, Matthee JJ. Predicting Ly;1 escape fractions with a simple observable: Ly;1 in emission as an empirically calibrated star formation rate indicator. Astronomy &; Astrophysics. 2019;623. doi:10.1051/0004-6361/201833075
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arXiv: 1803.08923

Boogaard LA, Decarli R, González-López J, et al. The ALMA spectroscopic survey in the HUDF: Nature and physical properties of gas-mass selected galaxies using MUSE spectroscopy. The Astrophysical Journal. 2019;882(2). doi:10.3847/1538-4357/ab3102
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arXiv: 1903.09167

Marino RA, Cantalupo S, Pezzulli G, et al. A giant Ly;1 nebula and a small-scale clumpy outflow in the system of the exotic quasar J0952+0114 unveiled by MUSE. The Astrophysical Journal. 2019;880(1). doi:10.3847/1538-4357/ab2881
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arXiv: 1906.06347

Matthee JJ, Sobral D, Boogaard LA, et al. Resolved UV and [C ii] structures of luminous galaxies within the epoch of reionization. The Astrophysical Journal. 2019;881(2). doi:10.3847/1538-4357/ab2f81
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arXiv: 1903.08171

Wang E, Lilly SJ, Pezzulli G, Matthee JJ. On the elevation and suppression of star formation within galaxies. The Astrophysical Journal. 2019;877(2). doi:10.3847/1538-4357/ab1c5b
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arXiv: 1901.10276

Khostovan AA, Sobral D, Mobasher B, et al. The clustering of typical Ly;1 emitters from z c 2.5–6: Host halo masses depend on Ly;1 and UV luminosities. Monthly Notices of the Royal Astronomical Society. 2019;489(1):555-573. doi:10.1093/mnras/stz2149
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Sobral D, Matthee JJ, Brammer G, et al. On the nature and physical conditions of the luminous Ly;1 emitter C and its rest-frame UV components. Monthly Notices of the Royal Astronomical Society. 2019;482(2):2422-2441. doi:10.1093/mnras/sty2779
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arXiv: 1710.08422

Matthee JJ, Schaye J. The origin of scatter in the star formation rate–stellar mass relation. Monthly Notices of the Royal Astronomical Society. 2019;484(1):915-932. doi:10.1093/mnras/stz030
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Huber D, Chaplin WJ, Chontos A, et al. A hot Saturn orbiting an oscillating late subgiant discovered by TESS. The Astronomical Journal. 2019;157(6). doi:10.3847/1538-3881/ab1488
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arXiv: 1901.01643

Mathur S, García RA, Bugnet LA, Santos ÂRG, Santiago N, Beck PG. Revisiting the impact of stellar magnetic activity on the detectability of solar-like oscillations by Kepler. Frontiers in Astronomy and Space Sciences. 2019;6. doi:10.3389/fspas.2019.00046
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Hon M, Stello D, García RA, et al. A search for red giant solar-like oscillations in all Kepler data. Monthly Notices of the Royal Astronomical Society. 2019;485(4):5616-5630. doi:10.1093/mnras/stz622
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Bugnet LA, García RA, Mathur S, et al. FliPerClass: In search of solar-like pulsators among TESS targets. Astronomy &; Astrophysics. 2019;624. doi:10.1051/0004-6361/201834780
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Santos ARG, García RA, Mathur S, et al. Surface rotation and photometric activity for Kepler targets. I. M and K main-sequence stars. The Astrophysical Journal Supplement Series. 2019;244(1). doi:10.3847/1538-4365/ab3b56
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Breton SN, Bugnet LA, Santos ARG, et al. Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques. arXiv. doi:10.48550/arXiv.1906.09609
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Saux AL, Bugnet LA, Mathur S, Breton SN, Garcia RA. Automatic classification of K2 pulsating stars using machine learning techniques. arXiv. doi:10.48550/arXiv.1906.09611
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Ancona B, Henzinger MH, Roditty L, Williams VV, Wein N. Algorithms and hardness for diameter in dynamic graphs. In: 46th International Colloquium on Automata, Languages, and Programming. Vol 132. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.ICALP.2019.13
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Henzinger MH, Neumann S, Schmid S. Efficient distributed workload (re-)embedding. In: SIGMETRICS’19: International Conference on Measurement and Modeling of Computer Systems. Association for Computing Machinery; 2019:43–44. doi:10.1145/3309697.3331503
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Biedermann S, Henzinger MH, Schulz C, Schuster B. Vienna Graph Clustering. In: Canzar S, Rojas Ringeling F, eds. Protein-Protein Interaction Networks. Vol 2074. MIMB. Springer Nature; 2019:215–231. doi:10.1007/978-1-4939-9873-9_16
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Bhattacharya S, Henzinger MH, Nanongkai D. A new deterministic algorithm for dynamic set cover. In: 60th Annual Symposium on Foundations of Computer Science. Institute of Electrical and Electronics Engineers; 2019:406-423. doi:10.1109/focs.2019.00033
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Henzinger MH, Noe A, Schulz C. Shared-memory exact minimum cuts. In: 33rd International Parallel and Distributed Processing Symposium. Institute of Electrical and Electronics Engineers; 2019. doi:10.1109/ipdps.2019.00013
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Daga M, Henzinger MH, Nanongkai D, Saranurak T. Distributed edge connectivity in sublinear time. In: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. Association for Computing Machinery; 2019:343–354. doi:10.1145/3313276.3316346
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Bernstein A, Forster S, Henzinger MH. A deamortization approach for dynamic spanner and dynamic maximal matching. In: 30th Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics; 2019:1899-1918. doi:10.1137/1.9781611975482.115
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Bhattacharya S, Henzinger MH, Neumann S. New amortized cell-probe lower bounds for dynamic problems. Theoretical Computer Science. 2019;779:72-87. doi:10.1016/j.tcs.2019.01.043
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Pieber B, Malik JA, Cavedon C, et al. Semiheterogeneous dual nickel/photocatalysis using carbon nitrides: Esterification of carboxylic acids with aryl halides. Angewandte Chemie International Edition. 2019;58(28):9575-9580. doi:10.1002/anie.201902785
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Guberman M, Pieber B, Seeberger PH. Safe and scalable continuous flow azidophenylselenylation of galactal to prepare galactosamine building blocks. Organic Process Research and Development. 2019;23(12):2764-2770. doi:10.1021/acs.oprd.9b00456
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Cavedon C, Madani A, Seeberger PH, Pieber B. Semiheterogeneous dual nickel/photocatalytic (thio)etherification using carbon nitrides. Organic Letters. 2019;21(13):5331-5334. doi:10.1021/acs.orglett.9b01957
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Browning TD, Sofos E. Counting rational points on quartic del Pezzo surfaces with a rational conic. Mathematische Annalen. 2019;373(3-4):977-1016. doi:10.1007/s00208-018-1716-6
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Kalinin N, Shkolnikov M. Tropical formulae for summation over a part of SL(2,Z). European Journal of Mathematics. 2019;5(3):909–928. doi:10.1007/s40879-018-0218-0
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Asaoka Y, Morita H, Furumoto H, Heisenberg C-PJ, Furutani-Seiki M. Studying YAP-mediated 3D morphogenesis using fish embryos and human spheroids. In: Hergovich A, ed. The Hippo Pathway. Vol 1893. Methods in Molecular Biology. Springer; 2019:167-181. doi:10.1007/978-1-4939-8910-2_14
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Demay G, Gazi P, Maurer U, Tackmann B. Per-session security: Password-based cryptography revisited. Journal of Computer Security. 2019;27(1):75-111. doi:10.3233/JCS-181131
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Biswas R, Largeteau-Skapin G, Zrour R, Andres E. Rhombic dodecahedron grid—coordinate system and 3D digital object definitions. In: 21st IAPR International Conference on Discrete Geometry for Computer Imagery. Vol 11414. Berlin, Heidelberg: Springer Berlin Heidelberg; 2019:27-37. doi:10.1007/978-3-030-14085-4_3
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Dyer R, Vegter G, Wintraecken M. Simplices modelled on spaces of constant curvature. Journal of Computational Geometry . 2019;10(1):223–256. doi:10.20382/jocg.v10i1a9
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Pietrzak KZ. Simple verifiable delay functions. In: 10th Innovations in Theoretical Computer Science Conference. Vol 124. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.ITCS.2019.60
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Kundu A, Garcia Soto M, Prabhakar P. Formal synthesis of stabilizing controllers for periodically controlled linear switched systems. In: 5th Indian Control Conference Proceedings. IEEE; 2019. doi:10.1109/INDIANCC.2019.8715598
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Vegter G, Wintraecken M. The extrinsic nature of the Hausdorff distance of optimal triangulations of manifolds. In: The 31st Canadian Conference in Computational Geometry. ; 2019:275-279.
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Edelsbrunner H, Virk Z, Wagner H. Topological data analysis in information space. In: 35th International Symposium on Computational Geometry. Vol 129. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019:31:1-31:14. doi:10.4230/LIPICS.SOCG.2019.31
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arXiv: 1903.08510

Zenmyo N, Tokumaru H, Uchinomiya S, et al. Optimized reaction pair of the CysHis tag and Ni(II)-NTA probe for highly selective chemical labeling of membrane proteins. Bulletin of the Chemical Society of Japan. 2019;92(5):995-1000. doi:10.1246/bcsj.20190034
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Mondelli M, Montanari A. Fundamental limits of weak recovery with applications to phase retrieval. Foundations of Computational Mathematics. 2019;19(3):703-773. doi:10.1007/s10208-018-9395-y
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Boissonnat J-D, Rouxel-Labbé M, Wintraecken M. Anisotropic triangulations via discrete Riemannian Voronoi diagrams. SIAM Journal on Computing. 2019;48(3):1046-1097. doi:10.1137/17m1152292
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Kolmogorov V. Testing the complexity of a valued CSP language. In: 46th International Colloquium on Automata, Languages and Programming. Vol 132. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019:77:1-77:12. doi:10.4230/LIPICS.ICALP.2019.77
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Walter M. Sampling the integers with low relative error. In: Buchmann J, Nitaj A, Rachidi T, eds. Progress in Cryptology – AFRICACRYPT 2019. Vol 11627. LNCS. Cham: Springer Nature; 2019:157-180. doi:10.1007/978-3-030-23696-0_9
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Mondelli M, Hassani H, Urbanke R. Construction of polar codes with sublinear complexity. IEEE. 2019;65(5):2782-2791. doi:10.1109/tit.2018.2889667
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Mondelli M, Montanari A. On the connection between learning two-layers neural networks and tensor  decomposition. In: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. Vol 89. Proceedings of Machine Learning Research; 2019:1051-1060.
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Hashemi SA, Condo C, Mondelli M, Gross WJ. Rate-flexible fast polar decoders. IEEE Transactions on Signal Processing. 2019;67(22). doi:10.1109/TSP.2019.2944738
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Jelínek V, Töpfer M. On grounded L-graphs and their relatives. Electronic Journal of Combinatorics. 2019;26(3). doi:10.37236/8096
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Avni G, Henzinger TA, Ibsen-Jensen R, Novotny P. Bidding games on Markov decision processes. In: 10.1007/978-3-030-30806-3_1__Proceedings of the 13th International Conference of Reachability Problems. Vol 11674. Springer; 2019:1-12. doi:10.1007/978-3-030-30806-3_1
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Chatterjee K, Dvorák W, Henzinger MH, Svozil A. Near-linear time algorithms for Streett objectives in graphs and MDPs. In: Leibniz International Proceedings in Informatics. Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.CONCUR.2019.7
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Lechner M, Hasani R, Zimmer M, Henzinger TA, Grosu R. Designing worm-inspired neural networks for interpretable robotic control. In: Proceedings - IEEE International Conference on Robotics and Automation. Vol 2019-May. IEEE; 2019. doi:10.1109/icra.2019.8793840
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Aghajohari M, Avni G, Henzinger TA. Determinacy in discrete-bidding infinite-duration games. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.CONCUR.2019.20
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Chatterjee K, Henzinger TA, Otop J. Long-run average behavior of vector addition systems with states. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.CONCUR.2019.27
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Chatterjee K, Piterman N. Combinations of Qualitative Winning for Stochastic Parity Games. In: Vol 140. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019. doi:10.4230/LIPICS.CONCUR.2019.6
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Nowak T, Rybicki J. Byzantine approximate agreement on graphs. In: 33rd International Symposium on Distributed Computing. Vol 146. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2019:29:1--29:17. doi:10.4230/LIPICS.DISC.2019.29
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Hasani R, Amini A, Lechner M, Naser F, Grosu R, Rus D. Response characterization for auditing cell dynamics in long short-term memory networks. In: Proceedings of the International Joint Conference on Neural Networks. IEEE; 2019. doi:10.1109/ijcnn.2019.8851954
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Mondelli M, Hassani SH, Urbanke R. A new coding paradigm for the primitive relay channel. Algorithms. 2019;12(10). doi:10.3390/a12100218
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Geher GP, Titkos T, Virosztek D. Dirac masses and isometric rigidity. In: Kyoto RIMS Kôkyûroku. Vol 2125. Research Institute for Mathematical Sciences, Kyoto University; 2019:34-41.
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Shirer KR, Modic KA, Zimmerling T, et al. Out-of-plane transport in ZrSiS and ZrSiSe microstructures. APL Materials. 2019;7(10). doi:10.1063/1.5124568
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Modic KA, Meng T, Ronning F, Bauer ED, Moll PJW, Ramshaw BJ. Thermodynamic signatures of Weyl fermions in NbP. Scientific Reports. 2019;9(1). doi:10.1038/s41598-018-38161-7
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Martino E, Bachmann MD, Rossi L, et al. Persistent antiferromagnetic order in heavily overdoped Cx La x FeA. Journal of Physics: Condensed Matter. 2019;31(48). doi:10.1088/1361-648x/ab3b43
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Bachmann MD, Ferguson GM, Theuss F, et al. Spatial control of heavy-fermion superconductivity in CeIrIn5. Science. 2019;366(6462):221-226. doi:10.1126/science.aao6640
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Torrini C, Cubero RJ, Dirkx E, et al. Common regulatory pathways mediate activity of microRNAs inducing cardiomyocyte proliferation. Cell Reports. 2019;27(9):2759-2771.e5. doi:10.1016/j.celrep.2019.05.005
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Cubero RJ, Jo J, Marsili M, Roudi Y, Song J. Statistical criticality arises in most informative representations. Journal of Statistical Mechanics: Theory and Experiment. 2019;2019(6). doi:10.1088/1742-5468/ab16c8
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Censor-Hillel K, Kaski P, Korhonen J, Lenzen C, Paz A, Suomela J. Algebraic methods in the congested clique. Distributed Computing. 2019;32(6):461-478. doi:10.1007/s00446-016-0270-2
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Kersting K, Lampert C, Rothkopf C, eds. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed. Wiesbaden: Springer Nature; 2019. doi:10.1007/978-3-658-26763-6
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Mourad E, Petit YK, Spezia R, et al. Singlet oxygen from cation driven superoxide disproportionation and consequences for aprotic metal–O2 batteries. Energy &; Environmental Science. 2019;12(8):2559-2568. doi:10.1039/c9ee01453e
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Kwak W-J, Kim H, Petit YK, et al. Deactivation of redox mediators in lithium-oxygen batteries by singlet oxygen. Nature Communications. 2019;10. doi:10.1038/s41467-019-09399-0
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Petit YK, Leypold C, Mahne N, et al. DABCOnium: An efficient and high-voltage stable singlet oxygen quencher for metal-O2 cells. Angewandte Chemie International Edition. 2019;58(20):6535-6539. doi:10.1002/anie.201901869
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Kwak W-J, Freunberger SA, Kim H, et al. Mutual conservation of redox mediator and singlet oxygen quencher in Lithium–Oxygen batteries. ACS Catalysis. 2019;9(11):9914-9922. doi:10.1021/acscatal.9b01337
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Freunberger SA. Interphase identity crisis. Nature Chemistry. 2019;11(9):761-763. doi:10.1038/s41557-019-0311-0
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