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S. Ionica et al., “Modular invariants for genus 3 hyperelliptic curves,” Research in Number Theory, vol. 5. Springer Nature, 2019.
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M. Jeblick, N. K. Leopold, and P. Pickl, “Derivation of the time dependent Gross–Pitaevskii equation in two dimensions,” Communications in Mathematical Physics, vol. 372, no. 1. Springer Nature, pp. 1–69, 2019.
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R. Skokan et al., “PIN-driven auxin transport emerged early in streptophyte evolution,” Nature Plants, vol. 5, no. 11. Springer Nature, pp. 1114–1119, 2019.
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L. Yolland et al., “Persistent and polarized global actin flow is essential for directionality during cell migration,” Nature Cell Biology, vol. 21, no. 11. Springer Nature, pp. 1370–1381, 2019.
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X. Goaoc, P. Patak, Z. Patakova, M. Tancer, and U. Wagner, “Shellability is NP-complete,” Journal of the ACM, vol. 66, no. 3. ACM, 2019.
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M. Skórski, “Strong chain rules for min-entropy under few bits spoiled,” in 2019 IEEE International Symposium on Information Theory, Paris, France, 2019.
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S. A. Sinclair and J. Friml, “Defying gravity: a plant’s quest for moisture,” Cell Research, vol. 29. Springer Nature, pp. 965–966, 2019.
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A. R. Rueda Sanchez, W. J. Hease, S. Barzanjeh, and J. M. Fink, “Electro-optic entanglement source for microwave to telecom quantum state transfer,” npj Quantum Information, vol. 5. Springer Nature, 2019.
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P. Guerrero et al., “Neuronal differentiation influences progenitor arrangement in the vertebrate neuroepithelium,” Development, vol. 146, no. 23. The Company of Biologists, 2019.
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T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, and D. Velan, “Deciding fast termination for probabilistic VASS with nondeterminism,” in International Symposium on Automated Technology for Verification and Analysis, Taipei, Taiwan, 2019, vol. 11781, pp. 462–478.
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A. Alcântara et al., “Systematic H screening reveals extensive effector-complex formation,” Frontiers in Plant Science, vol. 10, no. 11. Frontiers, 2019.
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K. Retzer et al., “Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter,” Nature Communications, vol. 10. Springer Nature, 2019.
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E. Garriga et al., “Large multiple sequence alignments with a root-to-leaf regressive method,” Nature Biotechnology, vol. 37, no. 12. Springer Nature, pp. 1466–1470, 2019.
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A. Llorca et al., “A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture,” eLife, vol. 8. eLife Sciences Publications, 2019.
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L. Klotz, O. Wendler, R. Frischknecht, R. Shigemoto, H. Schulze, and R. Enz, “Localization of group II and III metabotropic glutamate receptors at pre- and postsynaptic sites of inner hair cell ribbon synapses,” FASEB Journal, vol. 33, no. 12. FASEB, pp. 13734–13746, 2019.
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C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, and T. Hoefler, “SparCML: High-performance sparse communication for machine learning,” in International Conference for High Performance Computing, Networking, Storage and Analysis, SC, Denver, CO, Unites States, 2019.
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arXiv: 1802.08021

K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?” Dryad, 2019.
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S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, and M. C. Schatz, “Recovering rearranged cancer chromosomes from karyotype graphs,” BMC Bioinformatics, vol. 20. BMC, 2019.
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J. Merrin, “Frontiers in microfluidics, a teaching resource review,” Bioengineering, vol. 6, no. 4. MDPI, 2019.
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